scrape_ds_jobs_2019_1.5.html

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  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before,
.fa-gratipay:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper-pp:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-resistance:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-y-combinator-square:before,
.fa-yc-square:before,
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
.modal-header {
  cursor: move;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: text-bottom;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
div.output_area .mglyph > img {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 1px 0 1px 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #fff;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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<style type="text/css">
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.highlight  { background: #f8f8f8; }
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.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
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.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
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.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
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.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
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.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
    MathJax.Hub.Config({
        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h1 id="Data-Science-Career-Skills">Data Science Career Skills<a class="anchor-link" href="#Data-Science-Career-Skills">&#182;</a></h1><h2 id="With-Python,-Pandas,-Plotly,-Requests,-and-Beautiful-Soup">With Python, Pandas, Plotly, Requests, and Beautiful Soup<a class="anchor-link" href="#With-Python,-Pandas,-Plotly,-Requests,-and-Beautiful-Soup">&#182;</a></h2><h2 id="By-Jeff-Hale">By Jeff Hale<a class="anchor-link" href="#By-Jeff-Hale">&#182;</a></h2><h2 id="2019-12-04">2019-12-04<a class="anchor-link" href="#2019-12-04">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Import necessary libraries</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">from</span> <span class="nn">bs4</span> <span class="k">import</span> <span class="n">BeautifulSoup</span> <span class="k">as</span> <span class="n">bs</span>
<span class="kn">import</span> <span class="nn">requests</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
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<h1 id="The-Plan">The Plan<a class="anchor-link" href="#The-Plan">&#182;</a></h1><p>In this Jupyter notebook I'll show you how to scrape the data for job listings from Monster, SimplyHired, and Indeed.</p>

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<h2 id="Scrape-the-data-for-2019">Scrape the data for 2019<a class="anchor-link" href="#Scrape-the-data-for-2019">&#182;</a></h2><p>The header and to pass and the search terms to iterate through with "Data Scientist" are below. Add other search terms if you like.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">header</span> <span class="o">=</span> <span class="p">{</span>
  <span class="s2">&quot;User-Agent&quot;</span><span class="p">:</span> <span class="s2">&quot;Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36&quot;</span><span class="p">,</span>
  <span class="s2">&quot;X-Requested-With&quot;</span><span class="p">:</span> <span class="s2">&quot;XMLHttpRequest&quot;</span>
<span class="p">}</span>

<span class="c1"># read search terms from csv into a list</span>
<span class="n">search_terms</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">&quot;&quot;</span><span class="p">,</span>
<span class="s2">&quot;Python&quot;</span><span class="p">,</span>
<span class="s2">&quot;SQL&quot;</span><span class="p">,</span>
<span class="s2">&quot;R&quot;</span><span class="p">,</span>
<span class="s2">&quot;Spark&quot;</span><span class="p">,</span>
<span class="s2">&quot;Hadoop&quot;</span><span class="p">,</span>
<span class="s2">&quot;Java&quot;</span><span class="p">,</span>
<span class="s2">&quot;Tableau&quot;</span><span class="p">,</span>
<span class="s2">&quot;AWS&quot;</span><span class="p">,</span>
<span class="s2">&quot;SAS&quot;</span><span class="p">,</span>
<span class="s2">&quot;Hive&quot;</span><span class="p">,</span>
<span class="s2">&quot;Scala&quot;</span><span class="p">,</span>
<span class="s2">&quot;Excel&quot;</span><span class="p">,</span>
<span class="s2">&quot;TensorFlow&quot;</span><span class="p">,</span>
<span class="s2">&quot;C++&quot;</span><span class="p">,</span>
<span class="s2">&quot;Azure&quot;</span><span class="p">,</span>
<span class="s2">&quot;NoSQL&quot;</span><span class="p">,</span>
<span class="s2">&quot;Linux&quot;</span><span class="p">,</span>
<span class="s2">&quot;C&quot;</span><span class="p">,</span>
<span class="s2">&quot;Matlab&quot;</span><span class="p">,</span>
<span class="s2">&quot;Scikit-learn&quot;</span><span class="p">,</span>
<span class="s2">&quot;Pandas&quot;</span><span class="p">,</span>
<span class="s2">&quot;Git&quot;</span><span class="p">,</span>
<span class="s2">&quot;Keras&quot;</span><span class="p">,</span>
<span class="s2">&quot;Javascript&quot;</span><span class="p">,</span>
<span class="s2">&quot;Pig&quot;</span><span class="p">,</span>
<span class="s2">&quot;Hbase&quot;</span><span class="p">,</span>
<span class="s2">&quot;Google Cloud&quot;</span><span class="p">,</span>
<span class="s2">&quot;Docker&quot;</span><span class="p">,</span>
<span class="s2">&quot;NumPy&quot;</span><span class="p">,</span>
<span class="s2">&quot;PyTorch&quot;</span><span class="p">,</span>
<span class="s2">&quot;C#&quot;</span><span class="p">,</span>
<span class="s2">&quot;SPSS&quot;</span><span class="p">,</span>
<span class="s2">&quot;MySQL&quot;</span><span class="p">,</span>
<span class="s2">&quot;Perl&quot;</span><span class="p">,</span>
<span class="s2">&quot;Cassandra&quot;</span><span class="p">,</span>
<span class="s2">&quot;MongoDB&quot;</span><span class="p">,</span>
<span class="s2">&quot;GCP&quot;</span><span class="p">,</span>
<span class="s2">&quot;Kubernetes&quot;</span><span class="p">,</span>
<span class="s2">&quot;D3&quot;</span><span class="p">,</span>
<span class="s2">&quot;Databricks&quot;</span><span class="p">,</span>
<span class="s2">&quot;postgresql&quot;</span><span class="p">,</span>
<span class="s2">&quot;Caffe&quot;</span><span class="p">,</span>
<span class="s2">&quot;Airflow&quot;</span><span class="p">,</span>
<span class="s2">&quot;Alteryx&quot;</span><span class="p">,</span>
<span class="s2">&quot;BigQuery&quot;</span><span class="p">,</span>
<span class="s2">&quot;Fastai&quot;</span><span class="p">,</span>
<span class="p">]</span>
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<p>Will have to make changes to C# and C++ manually because those characters get escaped in query strings</p>

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<h1 id="Indeed">Indeed<a class="anchor-link" href="#Indeed">&#182;</a></h1><p>Let's use requests to do our scraping and BS4 to get the results that we'll put into a pandas DataFrame.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">indeed_list</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">term</span> <span class="ow">in</span> <span class="n">search_terms</span><span class="p">:</span>
    <span class="n">url</span> <span class="o">=</span> <span class="n">f</span><span class="s1">&#39;https://www.indeed.com/jobs?q=</span><span class="si">%22d</span><span class="s1">ata+scientist%22+%22</span><span class="si">{term}</span><span class="s1">%22&amp;l=United+States&#39;</span>
    
    <span class="k">try</span><span class="p">:</span>
        <span class="n">r</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">headers</span><span class="o">=</span><span class="n">header</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
        <span class="n">soup</span> <span class="o">=</span> <span class="n">bs</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">text</span><span class="p">,</span> <span class="s1">&#39;html.parser&#39;</span><span class="p">)</span>
        <span class="n">count_str</span> <span class="o">=</span> <span class="n">soup</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;div&#39;</span><span class="p">,</span> <span class="nb">id</span><span class="o">=</span><span class="s2">&quot;searchCountPages&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span>
        <span class="n">numb</span> <span class="o">=</span> <span class="n">count_str</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
        <span class="n">indeed_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">numb</span><span class="p">[</span><span class="o">-</span><span class="mi">2</span><span class="p">])</span>
    <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;error: </span><span class="si">{e}</span><span class="s1">&#39;</span><span class="p">)</span>
        
<span class="n">indeed_list</span>
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<pre>[&#39;5,806&#39;,
 &#39;4,305&#39;,
 &#39;3,163&#39;,
 &#39;3,105&#39;,
 &#39;1,691&#39;,
 &#39;1,574&#39;,
 &#39;1,457&#39;,
 &#39;1,147&#39;,
 &#39;1,235&#39;,
 &#39;965&#39;,
 &#39;852&#39;,
 &#39;772&#39;,
 &#39;606&#39;,
 &#39;873&#39;,
 &#39;520&#39;,
 &#39;626&#39;,
 &#39;597&#39;,
 &#39;547&#39;,
 &#39;520&#39;,
 &#39;567&#39;,
 &#39;526&#39;,
 &#39;360&#39;,
 &#39;347&#39;,
 &#39;401&#39;,
 &#39;283&#39;,
 &#39;318&#39;,
 &#39;318&#39;,
 &#39;181&#39;,
 &#39;373&#39;,
 &#39;285&#39;,
 &#39;323&#39;,
 &#39;520&#39;,
 &#39;248&#39;,
 &#39;237&#39;,
 &#39;336&#39;,
 &#39;271&#39;,
 &#39;234&#39;,
 &#39;232&#39;,
 &#39;261&#39;,
 &#39;131&#39;,
 &#39;139&#39;,
 &#39;104&#39;,
 &#39;171&#39;,
 &#39;95&#39;,
 &#39;84&#39;,
 &#39;133&#39;,
 &#39;1&#39;]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">indeed_list</span><span class="p">,</span> <span class="n">index</span><span class="o">=</span><span class="n">search_terms</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;Indeed&#39;</span><span class="p">])</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
    </tr>
  </thead>
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    <tr>
      <th></th>
      <td>5,806</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>4,305</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;&#39;</span><span class="p">:</span><span class="s1">&#39;Data Scientist&#39;</span><span class="p">},</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Data Scientist</th>
      <td>5,806</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>4,305</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,574</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,457</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,147</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>1,235</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>965</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>852</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>772</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>606</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>873</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>520</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>626</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>597</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>547</td>
    </tr>
    <tr>
      <th>C</th>
      <td>520</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>567</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>526</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>360</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>347</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>401</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>283</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>318</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>318</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>181</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>373</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>285</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>323</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>520</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>248</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>237</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>336</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>271</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>234</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>232</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>261</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>131</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>139</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>104</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>171</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>95</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>84</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>133</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>1</td>
    </tr>
  </tbody>
</table>
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<h1 id="Monster">Monster<a class="anchor-link" href="#Monster">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">monster_list</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">term</span> <span class="ow">in</span> <span class="n">search_terms</span><span class="p">:</span>
    <span class="n">url</span> <span class="o">=</span> <span class="n">f</span><span class="s1">&#39;https://www.monster.com/jobs/search/?q=__22data-scientist__22-__22</span><span class="si">{term}</span><span class="s1">__22&#39;</span>
    
    <span class="k">try</span><span class="p">:</span>
        <span class="n">r</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">headers</span><span class="o">=</span><span class="n">header</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
        <span class="n">soup</span> <span class="o">=</span> <span class="n">bs</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">text</span><span class="p">,</span> <span class="s1">&#39;html.parser&#39;</span><span class="p">)</span>
        <span class="n">count_str</span> <span class="o">=</span> <span class="n">soup</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;h2&#39;</span><span class="p">,</span> <span class="n">class_</span><span class="o">=</span><span class="s2">&quot;figure&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span>
        <span class="n">numb</span> <span class="o">=</span> <span class="n">count_str</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
        <span class="n">monster_count</span> <span class="o">=</span> <span class="n">numb</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">&quot;(&quot;</span><span class="p">,</span> <span class="s2">&quot;&quot;</span><span class="p">)</span>
        <span class="n">monster_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">monster_count</span><span class="p">)</span>
    <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;error: </span><span class="si">{e}</span><span class="s1">&#39;</span><span class="p">)</span>
        
<span class="n">monster_list</span>
</pre></div>

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<pre>error: &#39;NoneType&#39; object has no attribute &#39;get_text&#39;
</pre>
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<pre>[&#39;3285&#39;,
 &#39;2391&#39;,
 &#39;1764&#39;,
 &#39;1802&#39;,
 &#39;947&#39;,
 &#39;962&#39;,
 &#39;791&#39;,
 &#39;601&#39;,
 &#39;586&#39;,
 &#39;627&#39;,
 &#39;519&#39;,
 &#39;472&#39;,
 &#39;335&#39;,
 &#39;433&#39;,
 &#39;382&#39;,
 &#39;378&#39;,
 &#39;261&#39;,
 &#39;327&#39;,
 &#39;382&#39;,
 &#39;266&#39;,
 &#39;255&#39;,
 &#39;196&#39;,
 &#39;160&#39;,
 &#39;210&#39;,
 &#39;226&#39;,
 &#39;193&#39;,
 &#39;78&#39;,
 &#39;101&#39;,
 &#39;130&#39;,
 &#39;166&#39;,
 &#39;214&#39;,
 &#39;381&#39;,
 &#39;147&#39;,
 &#39;130&#39;,
 &#39;115&#39;,
 &#39;82&#39;,
 &#39;123&#39;,
 &#39;91&#39;,
 &#39;89&#39;,
 &#39;72&#39;,
 &#39;78&#39;,
 &#39;130&#39;,
 &#39;46&#39;,
 &#39;56&#39;,
 &#39;59&#39;,
 &#39;20&#39;]</pre>
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</div>

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<div class="input">
<div class="prompt input_prompt">In&nbsp;[8]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">monster_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="c1"># because no results for fastai. change to check if length matches first.</span>
</pre></div>

    </div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[9]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Monster&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">monster_list</span>
<span class="n">df</span>
</pre></div>

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<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Data Scientist</th>
      <td>5,806</td>
      <td>3285</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>4,305</td>
      <td>2391</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163</td>
      <td>1764</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105</td>
      <td>1802</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691</td>
      <td>947</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,574</td>
      <td>962</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,457</td>
      <td>791</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,147</td>
      <td>601</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>1,235</td>
      <td>586</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>965</td>
      <td>627</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>852</td>
      <td>519</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>772</td>
      <td>472</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>606</td>
      <td>335</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>873</td>
      <td>433</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>520</td>
      <td>382</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>626</td>
      <td>378</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>597</td>
      <td>261</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>547</td>
      <td>327</td>
    </tr>
    <tr>
      <th>C</th>
      <td>520</td>
      <td>382</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>567</td>
      <td>266</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>526</td>
      <td>255</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>360</td>
      <td>196</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>347</td>
      <td>160</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>401</td>
      <td>210</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>283</td>
      <td>226</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>318</td>
      <td>193</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>318</td>
      <td>78</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>181</td>
      <td>101</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>373</td>
      <td>130</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>285</td>
      <td>166</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>323</td>
      <td>214</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>520</td>
      <td>381</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>248</td>
      <td>147</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>237</td>
      <td>130</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>336</td>
      <td>115</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>271</td>
      <td>82</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>234</td>
      <td>123</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>232</td>
      <td>91</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>261</td>
      <td>89</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>131</td>
      <td>72</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>139</td>
      <td>78</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>104</td>
      <td>130</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>171</td>
      <td>46</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>95</td>
      <td>56</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>84</td>
      <td>59</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>133</td>
      <td>20</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>1</td>
      <td>0</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
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<h1 id="SimplyHired">SimplyHired<a class="anchor-link" href="#SimplyHired">&#182;</a></h1>
</div>
</div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[10]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">simply_list</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">term</span> <span class="ow">in</span> <span class="n">search_terms</span><span class="p">:</span>
    <span class="n">url</span> <span class="o">=</span> <span class="n">f</span><span class="s1">&#39;https://www.simplyhired.com/search?q=</span><span class="si">%22d</span><span class="s1">ata+scientist%22+%22</span><span class="si">{term}</span><span class="s1">%22&amp;l=United+States&#39;</span>
    
    <span class="k">try</span><span class="p">:</span>
        <span class="n">r</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">headers</span><span class="o">=</span><span class="n">header</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
        <span class="n">soup</span> <span class="o">=</span> <span class="n">bs</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">text</span><span class="p">,</span> <span class="s1">&#39;html.parser&#39;</span><span class="p">)</span>
        <span class="n">count_str</span> <span class="o">=</span> <span class="n">soup</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;span&#39;</span><span class="p">,</span> <span class="n">class_</span><span class="o">=</span><span class="s2">&quot;posting-total&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span>
        <span class="n">simply_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">count_str</span><span class="p">)</span>
    <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;error: </span><span class="si">{e}</span><span class="s1">&#39;</span><span class="p">)</span>
        
<span class="n">simply_list</span>
</pre></div>

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<pre>[&#39;4,110&#39;,
 &#39;3,141&#39;,
 &#39;2,249&#39;,
 &#39;2,344&#39;,
 &#39;1,147&#39;,
 &#39;1,070&#39;,
 &#39;1,008&#39;,
 &#39;883&#39;,
 &#39;788&#39;,
 &#39;736&#39;,
 &#39;561&#39;,
 &#39;592&#39;,
 &#39;485&#39;,
 &#39;586&#39;,
 &#39;380&#39;,
 &#39;399&#39;,
 &#39;366&#39;,
 &#39;376&#39;,
 &#39;380&#39;,
 &#39;458&#39;,
 &#39;383&#39;,
 &#39;317&#39;,
 &#39;267&#39;,
 &#39;263&#39;,
 &#39;245&#39;,
 &#39;198&#39;,
 &#39;163&#39;,
 &#39;138&#39;,
 &#39;189&#39;,
 &#39;253&#39;,
 &#39;258&#39;,
 &#39;380&#39;,
 &#39;213&#39;,
 &#39;203&#39;,
 &#39;169&#39;,
 &#39;132&#39;,
 &#39;146&#39;,
 &#39;116&#39;,
 &#39;105&#39;,
 &#39;105&#39;,
 &#39;90&#39;,
 &#39;94&#39;,
 &#39;77&#39;,
 &#39;77&#39;,
 &#39;72&#39;,
 &#39;56&#39;,
 &#39;1&#39;]</pre>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;SimplyHired&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">simply_list</span>
<span class="n">df</span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[11]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Data Scientist</th>
      <td>5,806</td>
      <td>3285</td>
      <td>4,110</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>4,305</td>
      <td>2391</td>
      <td>3,141</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163</td>
      <td>1764</td>
      <td>2,249</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105</td>
      <td>1802</td>
      <td>2,344</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691</td>
      <td>947</td>
      <td>1,147</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,574</td>
      <td>962</td>
      <td>1,070</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,457</td>
      <td>791</td>
      <td>1,008</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,147</td>
      <td>601</td>
      <td>883</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>1,235</td>
      <td>586</td>
      <td>788</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>965</td>
      <td>627</td>
      <td>736</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>852</td>
      <td>519</td>
      <td>561</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>772</td>
      <td>472</td>
      <td>592</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>606</td>
      <td>335</td>
      <td>485</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>873</td>
      <td>433</td>
      <td>586</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>520</td>
      <td>382</td>
      <td>380</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>626</td>
      <td>378</td>
      <td>399</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>597</td>
      <td>261</td>
      <td>366</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>547</td>
      <td>327</td>
      <td>376</td>
    </tr>
    <tr>
      <th>C</th>
      <td>520</td>
      <td>382</td>
      <td>380</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>567</td>
      <td>266</td>
      <td>458</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>526</td>
      <td>255</td>
      <td>383</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>360</td>
      <td>196</td>
      <td>317</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>347</td>
      <td>160</td>
      <td>267</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>401</td>
      <td>210</td>
      <td>263</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>283</td>
      <td>226</td>
      <td>245</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>318</td>
      <td>193</td>
      <td>198</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>318</td>
      <td>78</td>
      <td>163</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>181</td>
      <td>101</td>
      <td>138</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>373</td>
      <td>130</td>
      <td>189</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>285</td>
      <td>166</td>
      <td>253</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>323</td>
      <td>214</td>
      <td>258</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>520</td>
      <td>381</td>
      <td>380</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>248</td>
      <td>147</td>
      <td>213</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>237</td>
      <td>130</td>
      <td>203</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>336</td>
      <td>115</td>
      <td>169</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>271</td>
      <td>82</td>
      <td>132</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>234</td>
      <td>123</td>
      <td>146</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>232</td>
      <td>91</td>
      <td>116</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>261</td>
      <td>89</td>
      <td>105</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>131</td>
      <td>72</td>
      <td>105</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>139</td>
      <td>78</td>
      <td>90</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>104</td>
      <td>130</td>
      <td>94</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>171</td>
      <td>46</td>
      <td>77</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>95</td>
      <td>56</td>
      <td>77</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>84</td>
      <td>59</td>
      <td>72</td>
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    <tr>
      <th>BigQuery</th>
      <td>133</td>
      <td>20</td>
      <td>56</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>1</td>
      <td>0</td>
      <td>1</td>
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<pre>&lt;class &#39;pandas.core.frame.DataFrame&#39;&gt;
Index: 47 entries, Data Scientist to Fastai
Data columns (total 3 columns):
Indeed         47 non-null object
Monster        47 non-null object
SimplyHired    47 non-null object
dtypes: object(3)
memory usage: 1.5+ KB
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<h2 id="Let's-make-everything-numeric.">Let's make everything numeric.<a class="anchor-link" href="#Let's-make-everything-numeric.">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span><span class="n">x</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;,&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    .dataframe tbody tr th {
        vertical-align: top;
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      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
    </tr>
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    <tr>
      <th>Data Scientist</th>
      <td>5806.0</td>
      <td>3285.0</td>
      <td>4110.0</td>
    </tr>
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      <th>Python</th>
      <td>4305.0</td>
      <td>2391.0</td>
      <td>3141.0</td>
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      <th>SQL</th>
      <td>3163.0</td>
      <td>1764.0</td>
      <td>2249.0</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3105.0</td>
      <td>1802.0</td>
      <td>2344.0</td>
    </tr>
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      <th>Spark</th>
      <td>1691.0</td>
      <td>947.0</td>
      <td>1147.0</td>
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<h1 id="LinkedIn">LinkedIn<a class="anchor-link" href="#LinkedIn">&#182;</a></h1><p>You have to be logged in to get exact counts. Could use oath or selenium. My IP appears to have been blocked, despite Supreme Court ruling the folks can scrape. May have hit rate limit. Skip this section if not using LinkedIn.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">selenium</span> <span class="k">import</span> <span class="n">webdriver</span>
<span class="kn">from</span> <span class="nn">selenium.webdriver.common.keys</span> <span class="k">import</span> <span class="n">Keys</span>
<span class="kn">import</span> <span class="nn">time</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">userid</span> <span class="o">=</span> <span class="s1">&#39;jeffmshale@gmail.com&#39;</span>
<span class="c1"># password = LINKEDIN_PW</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">chrome_path</span> <span class="o">=</span> <span class="s1">&#39;.././chromedriver&#39;</span>
<span class="n">driver</span> <span class="o">=</span> <span class="n">webdriver</span><span class="o">.</span><span class="n">Chrome</span><span class="p">(</span><span class="n">chrome_path</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># driver.get(&quot;https://www.linkedin.com&quot;)</span>
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<h3 id="Login">Login<a class="anchor-link" href="#Login">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">driver</span><span class="o">.</span><span class="n">implicitly_wait</span><span class="p">(</span><span class="mi">6</span><span class="p">)</span>
<span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_name</span><span class="p">(</span><span class="s1">&#39;session_key&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">send_keys</span><span class="p">(</span><span class="n">userid</span><span class="p">)</span>
<span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_name</span><span class="p">(</span><span class="s1">&#39;session_password&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">send_keys</span><span class="p">(</span><span class="n">password</span><span class="p">)</span>
<span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_class_name</span><span class="p">(</span><span class="s1">&#39;sign-in-form__submit-btn&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">click</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># driver.get(&quot;https://www.linkedin.com/jobs/search&quot;)</span>
<span class="n">driver</span><span class="o">.</span><span class="n">implicitly_wait</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
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<h3 id="Scrape">Scrape<a class="anchor-link" href="#Scrape">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">numb_list</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">term</span> <span class="ow">in</span> <span class="n">search_terms</span><span class="p">[:</span><span class="mi">5</span><span class="p">]:</span>
    <span class="k">try</span><span class="p">:</span>
        <span class="n">driver</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;https://www.linkedin.com/jobs/search&quot;</span><span class="p">)</span>
        <span class="n">driver</span><span class="o">.</span><span class="n">implicitly_wait</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
        <span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_class_name</span><span class="p">(</span><span class="s1">&#39;jobs-search-box__text-input&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">send_keys</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;&quot;data scientist&quot; </span><span class="si">{term}</span><span class="s1">&#39;</span><span class="p">)</span>
        <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_id</span><span class="p">(</span><span class="s1">&#39;jobs-search-box-location-id-ember58&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">send_keys</span><span class="p">(</span><span class="s1">&#39;United States&#39;</span><span class="p">)</span>
        <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
        <span class="n">driver</span><span class="o">.</span><span class="n">find_element_by_class_name</span><span class="p">(</span><span class="s1">&#39;jobs-search-box__submit-button&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">click</span><span class="p">()</span>
        <span class="n">time</span><span class="o">.</span><span class="n">sleep</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
        <span class="n">html</span> <span class="o">=</span> <span class="n">driver</span><span class="o">.</span><span class="n">page_source</span>
        <span class="n">soup</span> <span class="o">=</span> <span class="n">bs</span><span class="p">(</span><span class="n">html</span><span class="p">)</span>
        <span class="n">count_str</span> <span class="o">=</span> <span class="n">soup</span><span class="o">.</span><span class="n">find</span><span class="p">(</span><span class="s1">&#39;div&#39;</span><span class="p">,</span> <span class="n">class_</span><span class="o">=</span><span class="s2">&quot;jobs-search-two-pane__title&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">get_text</span><span class="p">()</span>
        <span class="n">numb</span> <span class="o">=</span> <span class="n">count_str</span><span class="o">.</span><span class="n">strip</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
        <span class="n">numb_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">numb</span><span class="p">[</span><span class="mi">6</span><span class="p">])</span>
        

    <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;error: </span><span class="si">{e}</span><span class="s1">&#39;</span><span class="p">)</span>

<span class="n">numb_list</span>
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<pre>error: list index out of range
error: list index out of range
error: list index out of range
error: list index out of range
error: list index out of range
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<pre>[]</pre>
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<h3 id="Ugh.-I've-been-blocked.-Abandoning-LinkedIn.">Ugh. I've been blocked. Abandoning LinkedIn.<a class="anchor-link" href="#Ugh.-I've-been-blocked.-Abandoning-LinkedIn.">&#182;</a></h3>
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<h1 id="Analysis">Analysis<a class="anchor-link" href="#Analysis">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">import</span> <span class="nn">collections</span>

<span class="kn">from</span> <span class="nn">IPython.core.display</span> <span class="k">import</span> <span class="n">display</span><span class="p">,</span> <span class="n">HTML</span>
<span class="kn">from</span> <span class="nn">sklearn.preprocessing</span> <span class="k">import</span> <span class="n">MinMaxScaler</span>
    
<span class="c1"># import plotly </span>
<span class="kn">import</span> <span class="nn">plotly</span>
<span class="kn">import</span> <span class="nn">plotly.figure_factory</span> <span class="k">as</span> <span class="nn">ff</span>
<span class="kn">import</span> <span class="nn">plotly.graph_objs</span> <span class="k">as</span> <span class="nn">go</span>
<span class="kn">import</span> <span class="nn">plotly.offline</span> <span class="k">as</span> <span class="nn">py</span>
<span class="kn">import</span> <span class="nn">plotly.tools</span> <span class="k">as</span> <span class="nn">tls</span>

<span class="c1"># for color scales in plotly</span>
<span class="kn">import</span> <span class="nn">colorlover</span> <span class="k">as</span> <span class="nn">cl</span> 


<span class="n">pd</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">display</span><span class="o">.</span><span class="n">float_format</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{:,.2f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span>  
<span class="n">pd</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">display</span><span class="o">.</span><span class="n">max_columns</span> <span class="o">=</span> <span class="mi">999</span>

<span class="n">py</span><span class="o">.</span><span class="n">init_notebook_mode</span><span class="p">(</span><span class="n">connected</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="o">%</span><span class="k">load_ext</span> autoreload
<span class="o">%</span><span class="k">autoreload</span> 2
<span class="o">%</span><span class="k">matplotlib</span> inline
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        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}
        if (typeof require !== 'undefined') {
        require.undef("plotly");
        requirejs.config({
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<p>Total listings with 'Data Scientist' for Indeed, Monster, and SimplyHired</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">total_ds_jobs</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">total_ds_jobs</span>
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<pre>[5806.0, 3285.0, 4110.0]</pre>
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<h3 id="These-are-the-totals-for-2019-for-&quot;Data-Scientist&quot;-alone:">These are the totals for 2019 for "Data Scientist" alone:<a class="anchor-link" href="#These-are-the-totals-for-2019-for-&quot;Data-Scientist&quot;-alone:">&#182;</a></h3><p>(In case I accidentally rerun the cell)</p>
<p>Data Scientist  5806.0  3285.0  4110.0</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;Data Scientist&#39;</span><span class="p">)</span>
<span class="n">df</span>
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    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

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<table border="1" class="dataframe">
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      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
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      <th>Python</th>
      <td>4,305.00</td>
      <td>2,391.00</td>
      <td>3,141.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163.00</td>
      <td>1,764.00</td>
      <td>2,249.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105.00</td>
      <td>1,802.00</td>
      <td>2,344.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691.00</td>
      <td>947.00</td>
      <td>1,147.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,574.00</td>
      <td>962.00</td>
      <td>1,070.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,457.00</td>
      <td>791.00</td>
      <td>1,008.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,147.00</td>
      <td>601.00</td>
      <td>883.00</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>1,235.00</td>
      <td>586.00</td>
      <td>788.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>965.00</td>
      <td>627.00</td>
      <td>736.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>852.00</td>
      <td>519.00</td>
      <td>561.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>772.00</td>
      <td>472.00</td>
      <td>592.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>606.00</td>
      <td>335.00</td>
      <td>485.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>873.00</td>
      <td>433.00</td>
      <td>586.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>520.00</td>
      <td>382.00</td>
      <td>380.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>626.00</td>
      <td>378.00</td>
      <td>399.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>597.00</td>
      <td>261.00</td>
      <td>366.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>547.00</td>
      <td>327.00</td>
      <td>376.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>520.00</td>
      <td>382.00</td>
      <td>380.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>567.00</td>
      <td>266.00</td>
      <td>458.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>526.00</td>
      <td>255.00</td>
      <td>383.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>360.00</td>
      <td>196.00</td>
      <td>317.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>347.00</td>
      <td>160.00</td>
      <td>267.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>401.00</td>
      <td>210.00</td>
      <td>263.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>283.00</td>
      <td>226.00</td>
      <td>245.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>318.00</td>
      <td>193.00</td>
      <td>198.00</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>318.00</td>
      <td>78.00</td>
      <td>163.00</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>181.00</td>
      <td>101.00</td>
      <td>138.00</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>373.00</td>
      <td>130.00</td>
      <td>189.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>285.00</td>
      <td>166.00</td>
      <td>253.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>323.00</td>
      <td>214.00</td>
      <td>258.00</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>520.00</td>
      <td>381.00</td>
      <td>380.00</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>248.00</td>
      <td>147.00</td>
      <td>213.00</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>237.00</td>
      <td>130.00</td>
      <td>203.00</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>336.00</td>
      <td>115.00</td>
      <td>169.00</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>271.00</td>
      <td>82.00</td>
      <td>132.00</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>234.00</td>
      <td>123.00</td>
      <td>146.00</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>232.00</td>
      <td>91.00</td>
      <td>116.00</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>261.00</td>
      <td>89.00</td>
      <td>105.00</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>131.00</td>
      <td>72.00</td>
      <td>105.00</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>139.00</td>
      <td>78.00</td>
      <td>90.00</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>104.00</td>
      <td>130.00</td>
      <td>94.00</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>171.00</td>
      <td>46.00</td>
      <td>77.00</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>95.00</td>
      <td>56.00</td>
      <td>77.00</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>84.00</td>
      <td>59.00</td>
      <td>72.00</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>133.00</td>
      <td>20.00</td>
      <td>56.00</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>1.00</td>
      <td>nan</td>
      <td>1.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
</pre></div>

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<p>Fix C# and C++ with manual numbers 12/4/2019</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;C++&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">798</span><span class="p">,</span> <span class="mi">322</span><span class="p">,</span> <span class="mi">582</span><span class="p">]</span>
<span class="n">df</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;C#&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">335</span><span class="p">,</span> <span class="mi">159</span><span class="p">,</span> <span class="mi">176</span><span class="p">]</span>
<span class="n">df</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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        vertical-align: top;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>4,305.00</td>
      <td>2,391.00</td>
      <td>3,141.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>3,163.00</td>
      <td>1,764.00</td>
      <td>2,249.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,105.00</td>
      <td>1,802.00</td>
      <td>2,344.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,691.00</td>
      <td>947.00</td>
      <td>1,147.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,574.00</td>
      <td>962.00</td>
      <td>1,070.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,457.00</td>
      <td>791.00</td>
      <td>1,008.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,147.00</td>
      <td>601.00</td>
      <td>883.00</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>1,235.00</td>
      <td>586.00</td>
      <td>788.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>965.00</td>
      <td>627.00</td>
      <td>736.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>852.00</td>
      <td>519.00</td>
      <td>561.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>772.00</td>
      <td>472.00</td>
      <td>592.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>606.00</td>
      <td>335.00</td>
      <td>485.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>873.00</td>
      <td>433.00</td>
      <td>586.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>798.00</td>
      <td>322.00</td>
      <td>582.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>626.00</td>
      <td>378.00</td>
      <td>399.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>597.00</td>
      <td>261.00</td>
      <td>366.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>547.00</td>
      <td>327.00</td>
      <td>376.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>520.00</td>
      <td>382.00</td>
      <td>380.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>567.00</td>
      <td>266.00</td>
      <td>458.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>526.00</td>
      <td>255.00</td>
      <td>383.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>360.00</td>
      <td>196.00</td>
      <td>317.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>347.00</td>
      <td>160.00</td>
      <td>267.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>401.00</td>
      <td>210.00</td>
      <td>263.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>283.00</td>
      <td>226.00</td>
      <td>245.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>318.00</td>
      <td>193.00</td>
      <td>198.00</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>318.00</td>
      <td>78.00</td>
      <td>163.00</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>181.00</td>
      <td>101.00</td>
      <td>138.00</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>373.00</td>
      <td>130.00</td>
      <td>189.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>285.00</td>
      <td>166.00</td>
      <td>253.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>323.00</td>
      <td>214.00</td>
      <td>258.00</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>335.00</td>
      <td>159.00</td>
      <td>176.00</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>248.00</td>
      <td>147.00</td>
      <td>213.00</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>237.00</td>
      <td>130.00</td>
      <td>203.00</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>336.00</td>
      <td>115.00</td>
      <td>169.00</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>271.00</td>
      <td>82.00</td>
      <td>132.00</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>234.00</td>
      <td>123.00</td>
      <td>146.00</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>232.00</td>
      <td>91.00</td>
      <td>116.00</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>261.00</td>
      <td>89.00</td>
      <td>105.00</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>131.00</td>
      <td>72.00</td>
      <td>105.00</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>139.00</td>
      <td>78.00</td>
      <td>90.00</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>104.00</td>
      <td>130.00</td>
      <td>94.00</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>171.00</td>
      <td>46.00</td>
      <td>77.00</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>95.00</td>
      <td>56.00</td>
      <td>77.00</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>84.00</td>
      <td>59.00</td>
      <td>72.00</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>133.00</td>
      <td>20.00</td>
      <td>56.00</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>1.00</td>
      <td>0.00</td>
      <td>1.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<h2 id="Write-out-file">Write out file<a class="anchor-link" href="#Write-out-file">&#182;</a></h2><p>Get today's date.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">datetime</span>
<span class="n">today</span> <span class="o">=</span> <span class="n">datetime</span><span class="o">.</span><span class="n">date</span><span class="o">.</span><span class="n">today</span><span class="p">()</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="n">f</span><span class="s1">&#39;tech_skills_</span><span class="si">{today}</span><span class="s1">.csv&#39;</span><span class="p">)</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">percent_df</span> <span class="o">=</span> <span class="n">df</span><span class="o">/</span><span class="n">total_ds_jobs</span>
</pre></div>

    </div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">percent_df</span>
</pre></div>

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<div>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.74</td>
      <td>0.73</td>
      <td>0.76</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.54</td>
      <td>0.54</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.53</td>
      <td>0.55</td>
      <td>0.57</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.29</td>
      <td>0.29</td>
      <td>0.28</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.27</td>
      <td>0.29</td>
      <td>0.26</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.25</td>
      <td>0.24</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.18</td>
      <td>0.21</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.21</td>
      <td>0.18</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.17</td>
      <td>0.19</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.12</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.15</td>
      <td>0.13</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.10</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.11</td>
      <td>0.12</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.09</td>
      <td>0.12</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.09</td>
      <td>0.08</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.08</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>0.02</td>
      <td>0.04</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.01</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>0.01</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>0.02</td>
      <td>0.01</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>0.00</td>
      <td>0.00</td>
      <td>0.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">percent_df</span><span class="p">[</span><span class="s1">&#39;avg&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">percent_df</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">percent_df</span>
</pre></div>

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        vertical-align: middle;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>Monster</th>
      <th>SimplyHired</th>
      <th>avg</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.74</td>
      <td>0.73</td>
      <td>0.76</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.54</td>
      <td>0.54</td>
      <td>0.55</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.53</td>
      <td>0.55</td>
      <td>0.57</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.29</td>
      <td>0.29</td>
      <td>0.28</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.27</td>
      <td>0.29</td>
      <td>0.26</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.25</td>
      <td>0.24</td>
      <td>0.25</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.18</td>
      <td>0.21</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.21</td>
      <td>0.18</td>
      <td>0.19</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.17</td>
      <td>0.19</td>
      <td>0.18</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.14</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.14</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.12</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.15</td>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.10</td>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.11</td>
      <td>0.12</td>
      <td>0.10</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.09</td>
      <td>0.12</td>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.09</td>
      <td>0.08</td>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.08</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>0.02</td>
      <td>0.04</td>
      <td>0.02</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.01</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>0.01</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>0.02</td>
      <td>0.01</td>
      <td>0.01</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>0.00</td>
      <td>0.00</td>
      <td>0.00</td>
      <td>0.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<h1 id="2018-data">2018 data<a class="anchor-link" href="#2018-data">&#182;</a></h1><p>Total listings for "data scientist" for these three sites. I took this data from a .csv file where I put in the results by hand in 2018. It's available at <a href="https://www.kaggle.com/discdiver/the-most-in-demand-skills-for-data-scientists/data">Kaggle</a>.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">total_2018</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;Indeed&#39;</span><span class="p">:</span> <span class="mi">5138</span><span class="p">,</span>
    <span class="s1">&#39;SimplyHired&#39;</span><span class="p">:</span> <span class="mi">3829</span><span class="p">,</span>
    <span class="s1">&#39;Monster&#39;</span><span class="p">:</span> <span class="mi">3746</span><span class="p">,</span>
<span class="p">}</span>
</pre></div>

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<p>values</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">&#39;ds_job_listing_software.csv&#39;</span><span class="p">)</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">df_2018</span><span class="p">[</span><span class="s1">&#39;Keyword&#39;</span><span class="p">]</span>
<span class="n">df_2018</span>
</pre></div>

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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Keyword</th>
      <th>LinkedIn</th>
      <th>Indeed</th>
      <th>SimplyHired</th>
      <th>Monster</th>
      <th>LinkedIn %</th>
      <th>Indeed %</th>
      <th>SimplyHired %</th>
      <th>Monster %</th>
      <th>Avg %</th>
      <th>GlassDoor Self Reported % 2017</th>
      <th>Difference</th>
    </tr>
    <tr>
      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>Python</td>
      <td>6,347</td>
      <td>3,818</td>
      <td>2,888</td>
      <td>2,544</td>
      <td>74%</td>
      <td>74%</td>
      <td>75%</td>
      <td>68%</td>
      <td>73%</td>
      <td>72%</td>
      <td>1%</td>
    </tr>
    <tr>
      <th>R</th>
      <td>R</td>
      <td>4,553</td>
      <td>3,106</td>
      <td>2,393</td>
      <td>2,365</td>
      <td>53%</td>
      <td>60%</td>
      <td>62%</td>
      <td>63%</td>
      <td>60%</td>
      <td>64%</td>
      <td>-4%</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>SQL</td>
      <td>3,879</td>
      <td>2,628</td>
      <td>2,056</td>
      <td>1,841</td>
      <td>45%</td>
      <td>51%</td>
      <td>54%</td>
      <td>49%</td>
      <td>50%</td>
      <td>51%</td>
      <td>-1%</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>Spark</td>
      <td>2,169</td>
      <td>1,551</td>
      <td>1,167</td>
      <td>1,062</td>
      <td>25%</td>
      <td>30%</td>
      <td>30%</td>
      <td>28%</td>
      <td>29%</td>
      <td>27%</td>
      <td>2%</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>Hadoop</td>
      <td>2,142</td>
      <td>1,578</td>
      <td>1,164</td>
      <td>1,200</td>
      <td>25%</td>
      <td>31%</td>
      <td>30%</td>
      <td>32%</td>
      <td>30%</td>
      <td>39%</td>
      <td>-9%</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>Java</td>
      <td>1,944</td>
      <td>1,377</td>
      <td>1,059</td>
      <td>1,002</td>
      <td>23%</td>
      <td>27%</td>
      <td>28%</td>
      <td>27%</td>
      <td>26%</td>
      <td>33%</td>
      <td>-7%</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>SAS</td>
      <td>1,713</td>
      <td>1,134</td>
      <td>910</td>
      <td>978</td>
      <td>20%</td>
      <td>22%</td>
      <td>24%</td>
      <td>26%</td>
      <td>23%</td>
      <td>30%</td>
      <td>-7%</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>Tableau</td>
      <td>1,216</td>
      <td>1,012</td>
      <td>780</td>
      <td>744</td>
      <td>14%</td>
      <td>20%</td>
      <td>20%</td>
      <td>20%</td>
      <td>19%</td>
      <td>14%</td>
      <td>5%</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>Hive</td>
      <td>1,182</td>
      <td>830</td>
      <td>637</td>
      <td>619</td>
      <td>14%</td>
      <td>16%</td>
      <td>17%</td>
      <td>17%</td>
      <td>16%</td>
      <td>17%</td>
      <td>-1%</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>Scala</td>
      <td>1,040</td>
      <td>739</td>
      <td>589</td>
      <td>520</td>
      <td>12%</td>
      <td>14%</td>
      <td>15%</td>
      <td>14%</td>
      <td>14%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>C++</td>
      <td>1,024</td>
      <td>765</td>
      <td>580</td>
      <td>439</td>
      <td>12%</td>
      <td>15%</td>
      <td>15%</td>
      <td>12%</td>
      <td>13%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>AWS</td>
      <td>947</td>
      <td>791</td>
      <td>607</td>
      <td>467</td>
      <td>11%</td>
      <td>15%</td>
      <td>16%</td>
      <td>12%</td>
      <td>14%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>TensorFlow</td>
      <td>844</td>
      <td>661</td>
      <td>501</td>
      <td>385</td>
      <td>10%</td>
      <td>13%</td>
      <td>13%</td>
      <td>10%</td>
      <td>12%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>Matlab</td>
      <td>806</td>
      <td>677</td>
      <td>544</td>
      <td>419</td>
      <td>9%</td>
      <td>13%</td>
      <td>14%</td>
      <td>11%</td>
      <td>12%</td>
      <td>20%</td>
      <td>-8%</td>
    </tr>
    <tr>
      <th>C</th>
      <td>C</td>
      <td>795</td>
      <td>492</td>
      <td>384</td>
      <td>523</td>
      <td>9%</td>
      <td>10%</td>
      <td>10%</td>
      <td>14%</td>
      <td>11%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>Excel</td>
      <td>701</td>
      <td>569</td>
      <td>438</td>
      <td>397</td>
      <td>8%</td>
      <td>11%</td>
      <td>11%</td>
      <td>11%</td>
      <td>10%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>Linux</td>
      <td>601</td>
      <td>517</td>
      <td>364</td>
      <td>303</td>
      <td>7%</td>
      <td>10%</td>
      <td>10%</td>
      <td>8%</td>
      <td>9%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>NoSQL</td>
      <td>598</td>
      <td>436</td>
      <td>387</td>
      <td>362</td>
      <td>7%</td>
      <td>8%</td>
      <td>10%</td>
      <td>10%</td>
      <td>9%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>Azure</td>
      <td>578</td>
      <td>416</td>
      <td>285</td>
      <td>272</td>
      <td>7%</td>
      <td>8%</td>
      <td>7%</td>
      <td>7%</td>
      <td>7%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>Scikit-learn</td>
      <td>474</td>
      <td>402</td>
      <td>294</td>
      <td>212</td>
      <td>6%</td>
      <td>8%</td>
      <td>8%</td>
      <td>6%</td>
      <td>7%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>SPSS</td>
      <td>452</td>
      <td>330</td>
      <td>273</td>
      <td>202</td>
      <td>5%</td>
      <td>6%</td>
      <td>7%</td>
      <td>5%</td>
      <td>6%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>Pandas</td>
      <td>421</td>
      <td>330</td>
      <td>282</td>
      <td>175</td>
      <td>5%</td>
      <td>6%</td>
      <td>7%</td>
      <td>5%</td>
      <td>6%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>Numpy</td>
      <td>387</td>
      <td>257</td>
      <td>232</td>
      <td>152</td>
      <td>4%</td>
      <td>5%</td>
      <td>6%</td>
      <td>4%</td>
      <td>5%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>Pig</td>
      <td>367</td>
      <td>296</td>
      <td>231</td>
      <td>256</td>
      <td>4%</td>
      <td>6%</td>
      <td>6%</td>
      <td>7%</td>
      <td>6%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>D3</td>
      <td>353</td>
      <td>149</td>
      <td>113</td>
      <td>95</td>
      <td>4%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>Keras</td>
      <td>329</td>
      <td>253</td>
      <td>205</td>
      <td>131</td>
      <td>4%</td>
      <td>5%</td>
      <td>5%</td>
      <td>3%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>Javascript</td>
      <td>328</td>
      <td>245</td>
      <td>214</td>
      <td>224</td>
      <td>4%</td>
      <td>5%</td>
      <td>6%</td>
      <td>6%</td>
      <td>5%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>C#</td>
      <td>324</td>
      <td>245</td>
      <td>182</td>
      <td>219</td>
      <td>4%</td>
      <td>5%</td>
      <td>5%</td>
      <td>6%</td>
      <td>5%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>Perl</td>
      <td>309</td>
      <td>258</td>
      <td>202</td>
      <td>198</td>
      <td>4%</td>
      <td>5%</td>
      <td>5%</td>
      <td>5%</td>
      <td>5%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>Hbase</td>
      <td>302</td>
      <td>219</td>
      <td>167</td>
      <td>138</td>
      <td>4%</td>
      <td>4%</td>
      <td>4%</td>
      <td>4%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>Docker</td>
      <td>290</td>
      <td>240</td>
      <td>148</td>
      <td>194</td>
      <td>3%</td>
      <td>5%</td>
      <td>4%</td>
      <td>5%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>Git</td>
      <td>282</td>
      <td>261</td>
      <td>186</td>
      <td>145</td>
      <td>3%</td>
      <td>5%</td>
      <td>5%</td>
      <td>4%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>MySQL</td>
      <td>278</td>
      <td>233</td>
      <td>187</td>
      <td>121</td>
      <td>3%</td>
      <td>5%</td>
      <td>5%</td>
      <td>3%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>MongoDB</td>
      <td>251</td>
      <td>196</td>
      <td>165</td>
      <td>116</td>
      <td>3%</td>
      <td>4%</td>
      <td>4%</td>
      <td>3%</td>
      <td>4%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>Cassandra</td>
      <td>236</td>
      <td>174</td>
      <td>146</td>
      <td>136</td>
      <td>3%</td>
      <td>3%</td>
      <td>4%</td>
      <td>4%</td>
      <td>3%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>PyTorch</td>
      <td>214</td>
      <td>143</td>
      <td>131</td>
      <td>98</td>
      <td>2%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>Caffe</td>
      <td>206</td>
      <td>149</td>
      <td>113</td>
      <td>96</td>
      <td>2%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>3%</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>NaN</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Total</th>
      <td>Total</td>
      <td>38,882</td>
      <td>27,477</td>
      <td>21,204</td>
      <td>19,350</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>NaN</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>"data scientist" alone</th>
      <td>"data scientist" alone</td>
      <td>8,610</td>
      <td>5,138</td>
      <td>3,829</td>
      <td>3,746</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>NaN</th>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>"data scientist" "[keyword]"</th>
      <td>"data scientist" "[keyword]"</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>Oct. 10, 2018</th>
      <td>Oct. 10, 2018</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<div class="prompt input_prompt">In&nbsp;[27]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018_s</span> <span class="o">=</span> <span class="n">df_2018</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">37</span><span class="p">,</span> <span class="mi">2</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span>
<span class="n">df_2018_s</span>
</pre></div>

    </div>
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</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[27]:</div>


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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
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    .dataframe tbody tr th {
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>SimplyHired</th>
      <th>Monster</th>
    </tr>
    <tr>
      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>3,818</td>
      <td>2,888</td>
      <td>2,544</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,106</td>
      <td>2,393</td>
      <td>2,365</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>2,628</td>
      <td>2,056</td>
      <td>1,841</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,551</td>
      <td>1,167</td>
      <td>1,062</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,578</td>
      <td>1,164</td>
      <td>1,200</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>1,377</td>
      <td>1,059</td>
      <td>1,002</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>1,134</td>
      <td>910</td>
      <td>978</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>1,012</td>
      <td>780</td>
      <td>744</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>830</td>
      <td>637</td>
      <td>619</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>739</td>
      <td>589</td>
      <td>520</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>765</td>
      <td>580</td>
      <td>439</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>791</td>
      <td>607</td>
      <td>467</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>661</td>
      <td>501</td>
      <td>385</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>677</td>
      <td>544</td>
      <td>419</td>
    </tr>
    <tr>
      <th>C</th>
      <td>492</td>
      <td>384</td>
      <td>523</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>569</td>
      <td>438</td>
      <td>397</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>517</td>
      <td>364</td>
      <td>303</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>436</td>
      <td>387</td>
      <td>362</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>416</td>
      <td>285</td>
      <td>272</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>402</td>
      <td>294</td>
      <td>212</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>330</td>
      <td>273</td>
      <td>202</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>330</td>
      <td>282</td>
      <td>175</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>257</td>
      <td>232</td>
      <td>152</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>296</td>
      <td>231</td>
      <td>256</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>149</td>
      <td>113</td>
      <td>95</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>253</td>
      <td>205</td>
      <td>131</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>245</td>
      <td>214</td>
      <td>224</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>245</td>
      <td>182</td>
      <td>219</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>258</td>
      <td>202</td>
      <td>198</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>219</td>
      <td>167</td>
      <td>138</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>240</td>
      <td>148</td>
      <td>194</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>261</td>
      <td>186</td>
      <td>145</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>233</td>
      <td>187</td>
      <td>121</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>196</td>
      <td>165</td>
      <td>116</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>174</td>
      <td>146</td>
      <td>136</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>143</td>
      <td>131</td>
      <td>98</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>149</td>
      <td>113</td>
      <td>96</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018_s</span> <span class="o">=</span> <span class="n">df_2018_s</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span><span class="n">x</span><span class="o">.</span><span class="n">str</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">&#39;,&#39;</span><span class="p">,</span> <span class="s1">&#39;&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_2018_s</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th>Indeed</th>
      <th>SimplyHired</th>
      <th>Monster</th>
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      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
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      <th>Python</th>
      <td>3,818.00</td>
      <td>2,888.00</td>
      <td>2,544.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>3,106.00</td>
      <td>2,393.00</td>
      <td>2,365.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>2,628.00</td>
      <td>2,056.00</td>
      <td>1,841.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>1,551.00</td>
      <td>1,167.00</td>
      <td>1,062.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>1,578.00</td>
      <td>1,164.00</td>
      <td>1,200.00</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018_percent</span> <span class="o">=</span> <span class="n">df_2018_s</span><span class="o">/</span><span class="n">total_2018</span>
<span class="n">df_2018_percent</span>
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      <th>Indeed</th>
      <th>SimplyHired</th>
      <th>Monster</th>
    </tr>
    <tr>
      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.74</td>
      <td>0.75</td>
      <td>0.68</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.60</td>
      <td>0.62</td>
      <td>0.63</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>0.49</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.30</td>
      <td>0.28</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.30</td>
      <td>0.32</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.28</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.22</td>
      <td>0.24</td>
      <td>0.26</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.17</td>
      <td>0.17</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.14</td>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.15</td>
      <td>0.15</td>
      <td>0.12</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.12</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.13</td>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.08</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.08</td>
      <td>0.10</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.07</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.08</td>
      <td>0.08</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.03</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
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<h3 id="Make-the-average-for-2018.">Make the average for 2018.<a class="anchor-link" href="#Make-the-average-for-2018.">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018_percent</span><span class="p">[</span><span class="s1">&#39;avg&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_2018_percent</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">df_2018_percent</span>
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    <tr style="text-align: right;">
      <th></th>
      <th>Indeed</th>
      <th>SimplyHired</th>
      <th>Monster</th>
      <th>avg</th>
    </tr>
    <tr>
      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.74</td>
      <td>0.75</td>
      <td>0.68</td>
      <td>0.73</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.60</td>
      <td>0.62</td>
      <td>0.63</td>
      <td>0.62</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>0.49</td>
      <td>0.51</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.30</td>
      <td>0.28</td>
      <td>0.30</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.30</td>
      <td>0.32</td>
      <td>0.31</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.28</td>
      <td>0.27</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.22</td>
      <td>0.24</td>
      <td>0.26</td>
      <td>0.24</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.17</td>
      <td>0.17</td>
      <td>0.16</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.14</td>
      <td>0.15</td>
      <td>0.14</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.15</td>
      <td>0.15</td>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.12</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.13</td>
      <td>0.13</td>
      <td>0.10</td>
      <td>0.12</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.11</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.14</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.08</td>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.07</td>
      <td>0.07</td>
      <td>0.08</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.08</td>
      <td>0.08</td>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.03</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
  </tbody>
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<h2 id="Merge-the-2018-and-2019-DataFrames-for-Analysis">Merge the 2018 and 2019 DataFrames for Analysis<a class="anchor-link" href="#Merge-the-2018-and-2019-DataFrames-for-Analysis">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_combo</span> <span class="o">=</span> <span class="n">df_2018_percent</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">percent_df</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;outer&#39;</span><span class="p">)</span>
<span class="n">df_combo</span>
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    }

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        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>Indeed_x</th>
      <th>SimplyHired_x</th>
      <th>Monster_x</th>
      <th>avg_x</th>
      <th>Indeed_y</th>
      <th>Monster_y</th>
      <th>SimplyHired_y</th>
      <th>avg_y</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.12</td>
      <td>0.15</td>
      <td>0.21</td>
      <td>0.18</td>
      <td>0.19</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.01</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.07</td>
      <td>0.07</td>
      <td>0.08</td>
      <td>0.11</td>
      <td>0.12</td>
      <td>0.10</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.02</td>
      <td>0.01</td>
      <td>0.01</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.14</td>
      <td>0.11</td>
      <td>0.09</td>
      <td>0.12</td>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.15</td>
      <td>0.15</td>
      <td>0.12</td>
      <td>0.14</td>
      <td>0.14</td>
      <td>0.10</td>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.01</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.03</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.11</td>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.12</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.00</td>
      <td>0.00</td>
      <td>0.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.30</td>
      <td>0.32</td>
      <td>0.31</td>
      <td>0.27</td>
      <td>0.29</td>
      <td>0.26</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.02</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.17</td>
      <td>0.17</td>
      <td>0.16</td>
      <td>0.15</td>
      <td>0.16</td>
      <td>0.14</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.28</td>
      <td>0.27</td>
      <td>0.27</td>
      <td>0.25</td>
      <td>0.24</td>
      <td>0.25</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
      <td>0.05</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.09</td>
      <td>0.09</td>
      <td>0.10</td>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.11</td>
      <td>0.13</td>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.03</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.03</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.08</td>
      <td>0.10</td>
      <td>0.10</td>
      <td>0.09</td>
      <td>0.10</td>
      <td>0.08</td>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.08</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.03</td>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.06</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>0.74</td>
      <td>0.75</td>
      <td>0.68</td>
      <td>0.73</td>
      <td>0.74</td>
      <td>0.73</td>
      <td>0.76</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.60</td>
      <td>0.62</td>
      <td>0.63</td>
      <td>0.62</td>
      <td>0.53</td>
      <td>0.55</td>
      <td>0.57</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.22</td>
      <td>0.24</td>
      <td>0.26</td>
      <td>0.24</td>
      <td>0.17</td>
      <td>0.19</td>
      <td>0.18</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.04</td>
      <td>0.04</td>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>0.49</td>
      <td>0.51</td>
      <td>0.54</td>
      <td>0.54</td>
      <td>0.55</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.14</td>
      <td>0.15</td>
      <td>0.14</td>
      <td>0.15</td>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.14</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.08</td>
      <td>0.08</td>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.09</td>
      <td>0.08</td>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.30</td>
      <td>0.28</td>
      <td>0.30</td>
      <td>0.29</td>
      <td>0.29</td>
      <td>0.28</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.20</td>
      <td>0.18</td>
      <td>0.21</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.13</td>
      <td>0.13</td>
      <td>0.10</td>
      <td>0.12</td>
      <td>0.15</td>
      <td>0.13</td>
      <td>0.14</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>nan</td>
      <td>0.02</td>
      <td>0.04</td>
      <td>0.02</td>
      <td>0.03</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[32]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_combo</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="p">[</span><span class="s1">&#39;avg_x&#39;</span><span class="p">,</span> <span class="s1">&#39;avg_y&#39;</span><span class="p">]]</span>
<span class="n">df_combo</span><span class="o">.</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;2018&#39;</span><span class="p">,</span> <span class="s1">&#39;2019&#39;</span><span class="p">]</span>
</pre></div>

    </div>
</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[33]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_combo</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;2019&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_combo</span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[33]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>nan</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>nan</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.04</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>nan</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>nan</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>nan</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>0.05</td>
      <td>nan</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<h3 id="Combine-two-versions-of-NumPy-and-C">Combine two versions of NumPy and C<a class="anchor-link" href="#Combine-two-versions-of-NumPy-and-C">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_combo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s2">&quot;NumPy&quot;</span><span class="p">,</span> <span class="s2">&quot;2018&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;Numpy&#39;</span><span class="p">,</span> <span class="s1">&#39;2018&#39;</span><span class="p">]</span>
<span class="n">df_combo</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;Numpy&#39;</span><span class="p">)</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>nan</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.04</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>nan</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>nan</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>nan</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_combo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s2">&quot;C#&quot;</span><span class="p">,</span> <span class="s2">&quot;2018&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;C# &#39;</span><span class="p">,</span> <span class="s1">&#39;2018&#39;</span><span class="p">]</span>
<span class="n">df_combo</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;C# &#39;</span><span class="p">)</span>
<span class="n">df_combo</span>
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Docker</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>SPSS</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>Perl</th>
      <td>0.05</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MySQL</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Hbase</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>MongoDB</th>
      <td>0.04</td>
      <td>0.04</td>
    </tr>
    <tr>
      <th>Cassandra</th>
      <td>0.04</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Kubernetes</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>GCP</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Google Cloud</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>postgresql</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>D3</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Databricks</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Caffe</th>
      <td>0.03</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Airflow</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Alteryx</th>
      <td>nan</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>BigQuery</th>
      <td>nan</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Fastai</th>
      <td>nan</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>C#</th>
      <td>0.05</td>
      <td>nan</td>
    </tr>
    <tr>
      <th>Numpy</th>
      <td>0.05</td>
      <td>nan</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
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<p>Strange, might be a white space with issue the second C#. Oh well, it won't get included here in a second anyway.</p>

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<h3 id="Top-20">Top 20<a class="anchor-link" href="#Top-20">&#182;</a></h3>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[56]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_20</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">20</span><span class="p">]</span>
<span class="n">df_20</span>
</pre></div>

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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[57]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_20</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
</pre></div>

    </div>
</div>
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    <div class="prompt output_prompt">Out[57]:</div>


<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1a1bc16b90&gt;</pre>
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<img 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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2019</span> <span class="o">=</span> <span class="n">df_20</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span>
<span class="n">df_2019</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[58]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1a1aeebf10&gt;</pre>
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<div class="prompt input_prompt">In&nbsp;[59]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_2018_sorted</span> <span class="o">=</span> <span class="n">df_20</span><span class="p">[</span><span class="s1">&#39;2018&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_2018_sorted</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">)</span>
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    <div class="prompt output_prompt">Out[59]:</div>


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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1a1b7458d0&gt;</pre>
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uwi6d4zXQYYs05RSXOBVwPz6RqBY/uvppDnHGCR7c9MsWw/s107IEraFPgb4EmUSVbnA/9h+481038XeJbtW6vjnYDTbD+mZvoDgH8FHgb8CtgWuNr2o2umfy5wue2fVsfHAC8EfgocafsndfLpyXMj4AXA42z/U4N0Dwb+GXiY7WdVr8UTbJ88IN29gLts31UdPxJ4NvBT2//dtPyjIulNtt81hfQPoSzJYWCZ7f9tmH5TYA9gb8rnbbOJZh72pDsDeLPty3vOLwTeavu5NZ//K/SZeNhh+4A6+UyQd9PP6b62v9lz7lDbp0yUpufavYCTgPvYnifpccBhtv+mQRnuSflszWftuHdc3TxW5zVmAf17wHnARcDdnfO2v1Aj7f2AvwW2ooyL/wZwOPAG4FLbvevPNC3bDba3GXzl6utPA34PfLo6dTDwANsvrpl+f+CNwP6UZRL+E/hL25fWTH8Z8HTgm7Z3kfQ04GDbiwck7aS/HNjT9u2SngO8r/obdgFebPv/1clngrwvsL1ng+u/CnwCeIvtx1WT1y6x/RcD0p0LvMr2tZK2B34AfIayyNwPbL+pQRn2BD4E7AhsQhnCe5vt+9XNoyuvi23v2jRdlfavgWOAsykztJ8CHGf74zXT7wk8mRLMtwSuAM6z/akaaX84UYVC0hWD/j+6rn3KZI/b/k6dfCbIu+nn9FzgSkqcuA8lOP/J9otqpr+QMvdmie1dqnMTvk4T5PE14HesG/f+tW4eq9kemx9K4B027ZeBTwKHAadRAvp3gJ1HVLafNbz+sjrnBuTxPOB7lA/dgoZpl3eeE9io+v0Hw5Qf+DjwD13HFzfI54Cun+cB7wAubPi3LKv+vaTJewW4ouv3twMnVL9v0v1Y3dcT2B64hBLMXwm8c8j3Uu3Xr0/aa4AHdh0/ELimQfq7gQur/4uNGz73imEeG5DnZsAjh309+uTX9HMqSjC/tvo5uGH6C6t/u9+bTT/nPxzV319nLZfpdIakZ9s+a4i0D3dVQ5B0EmVxm3m2f183A0m/p9wKdq9N0znerGF5LpG0p+0Lqrz3AL5bowwfYu3b0fsB1wFHSML2a2s+/28l3Qc4F/iMpF8BqxqUX1X624F9gH/vemzTBvl035GsAq5n3dU6B7lN0gOpXpeqlvm7Gum6X8enA+8FsH2npD83LAO2V0iaY/tu4BPVHWUtkn7CmvfSQyVdV/1u2w9vUIyVlDu/jt8DNzRI/2DgiZQa+lGS7gS+a/ttNdIuk/Rq2x/rPinpVZTaZSNVs96/UL5gt5O0M+VuY9ImF0mvn+ghSi27iQdQmp9+TFnWZFtJchVpa7ihanZxNZP+tcDVDcvwPUl/YfuKhunWMW4B/UjgzdWb7K7qnF3vtrZzPbbvlvSTJsG8SnffJtcPsAfwckk/q47nAVdLuqI8lR87QbrlPceNPyiVA4E7gNcBf0lZX6dJm9wHgEuBWylt78sBJO0C/KJuJrZf1uA5J/J3lGa0R1R9C3Mpt7mDXC7pX4CfU2rXXweQdP8hynB79YG9VNJ7KK9B7Y4w26s7tCVd4ur2vK6uIPZz4EJJX6Z8QRxIaUqqW46bJV1FeQ23pDTZ3BuoE9CPAr4o6S9Z875cSAnIz69bhi7HUvoCvl2V7VLV2xxnss/pBxuW4QLgeNsfl7QZZS+H7wJ71Uz/muo5t6J82X6d0vTbxJOAV1Rf+n9izRf9RDFiQmPVhj4Vku4GbuscUmrUt7Pmxand1ilpX0o7K5Tb/e8PUZ5tJ3vcVWfjBGnnAKfYfmnT5+3K43XA510taTxkHlsBD6LcQv65OvcQ4B62a9UKqw6fVwCPpqtm75pt+V35bEzpSxClieGuAUmoPqBHAg+lLFlxWXV+L+ARrtFu3JXXtpTO5XtQviQ3B/7d9oomf0eV1zAB/a2TPV6zht1Z2vrHlE7684Dvu2ZHfVceTwM6bcRX2j67SfqufC60vUf36yHp8mEC2bAkzbP9s55ze9s+t0baOcBrbb9/imXoGysmixET5jVuAb0anbF3dfht22dM43NvQ2mL/z2lBiJgV0pN90DgZbZPapDf4ygdUFA6ni5rkHYp8FyXTUUaqwLASyhr65wKnG77l8Pk1ZXnIygdo4tcf7TN5yhNRgcB7wQOoQSBuk1HnQ7ezwGfs/3jBumeB3zP9q/qppkOkj7srv0Epvm5O01GM07SycC3gKMpozxeS6ksvKZG2gMpgwY6wy6XU5przpe0ue06TXJI2rvf+ToBvUr/bdtPrXPtBOk3oowmq92JOml+4xTQJR0P7EYZiQAleFxke519TNfT8y8B/tv2J3vOv5xyu4lrjk6QdCRlSFhneNzzgRNtf6hm+o9SvkyWsObOA9vvq5O+K5/HUoLpC4GVtvdtmP6hVfpDgMcC76K8RrXa+zq1r07NS9I9gKW2n96gDNtWZTgI+DMluJ/WW7Pqk+504AmUO7XvUjqYv2v7ygbPfQWTD7GbttokrB7a+0bWveOp9XpKehilieBJ1alzgdfZ7l0Se71TGVb6FuCZ1amlwDsG3TFI+hvgryivQ6eJciGlw/2DlKGVj6tZhq90HW5KaQK6qMHr+U7K3drnWPtzenGd9FUenwHeNOj9XCuvMQvol1NGpXRu7+dQeo+n5UMj6Ue2d5jgsZXArnVre9Xf8gTbt1XH96bc3tb6Wya6xa57a92Vz0MoHZOLgPs2eP5XU75Qt6aMGjoN+HJ3W3DNfH5ge/dqeNhhwC8pzVhDTUSRtAD4J8oQzjk102xHCex7Vf/Oq8rw7Bpph246myTPRzf5UulJ+3VK8HgDpf32UOAm2/9QM/1SyjaR/1mdehlTHIY63SRdDTzR9m96zj+Q0o79etv/MWTe2wDvsX1wzevP6XPaDSssZ1Mqsj9g7S+FxuPxx61TFOD+rNkcY/Npfu6+M2er26I7Gt66i64xpdXvtfdZbRq413ly6f9TarRzKR/gV9u+qkEWJwDfBw7p6hAd5tv/ZEkPAN5KqYHdq/q9kaqz7CWUv+luSu2sFts/qdryN6t+NqXmqKVhAnYNn6LcfQ3jgbZPlnSky3jt70hqMm77wT2jVE5SWR572kn6BuXL5LfV8QOAU+t8ufQG8+rcryX9dNhgXlnJmv6BgWw/bQrP1TGlz3q3cQvo76IM9zuHEvz2BmpP/hiBMyR9DDiqp2b9fqDpUMpPUEYjfJHytxxIWTe+lqneWlNmhh7lmhOR+ngYpWb/PpWZmqdROgQbsf3R6tdzKDXjxlQmb9wD+DwlAFxXM92bKTXyuZTx2xcAHwYWN21H1ggnFtHgi72PTmfwL1Qmn91IuYuq6zeSFlFq+bCmn2UmbNkJ5gC2b5H0oBrpbpX0uN4+qarPqlbbeVea7mHCGwE7U+Zu1E1/TL/zbjDL01OYSLVOecapyQVWt9nuRnnTX+iG05qn+Nz3oEwxfyVlirspgfEUSrtcow5KSbuypq3yPNuXNEg7pVvrrnwexNpfCI3b6SRtTWmyOZhSw/6i7TfXTDuX0ra5le3nqEzb3723n2JAHo+y/T9DlPt/gD8AZ1Dazy+s21nWJ6/llNfg85T22pcD29t+S830b2XNOPTDgI90Hmvy4VeZtXseZcvHD1HmKbzNZaOZOunnU+YU7FGV5wLgCA+xlMNUSboIeH7nPVk1b31xUD+VpCdR+tk+QRm8YErMOBR4qe3zG5Th0K7DVcD1tgfOF+lK/3ddh5sCz6EM8629XMkoKwvjVkOH8i15M6VsO0jaoW6P8wjsTJnifgxl3PLTKP9Bm1AmLDStydxNebOZ0pnXxJRurVUmbbyPnrVcKDX+Oul3A26w/b+2V0q6iTIGemOaTd74JOXD1/kiupbyRfXJGmV4qe1PA8+WtE5796AOYtuPUlnkbC/gqcDRKpOlLqOMfvlE/T9jahOLKBOqOu6iVBga6xr19TvK+7Np+usp69mMg7cA53e9r/cGBg5nrUay7E4Z7/0KypfkDylLVTSqALrmmi2TpF9rer7KvIdaX65dPsy6lYUFw5RnrAK6pHdT2kivZE0ANKUnfjp8FNjX9h1Ve97RwBGUQH8i9SazAGuNcvkC5Q33aUm1R7kw9VvrdwB70rOWS4P0HwX2hdVDu97Fmtei9gp9wINs/5ekvwewfZfKnIE6OhN3hp7wVbW1nqGyXsbjKUHjMMooiSYBfaoTi1YHjupLulEg0boziHvzn3QYqKT3D0g/0ezL9cb216q72D0pn5HX2b65ZtpfUipeVP8vj6Z5pQmV1SOPpVR4Nq7KYTebvdvtXkDjtFOsLKw2VgGdsr7EI23/aYaef05XZ8tBlGGGXwC+IKlpW/SrgD262uLfTelkrBvQ3yFpc8osyc6t9esaPP9dVSfRRpI2sn1OVYa6RvVa3FbVkjvT9ndj7anrE+q0vw/bQawyp2EvylT3R1MqCt+nvKZNPzAvo9w9Hk75f9iGMhR0qKINkaZ3BnFTP5xi+pGT9CqXFTPPqI7nSHrroP9vSR8BPuSyt/HmlP/Tu4EtJL3B9mcbFONkyv/nWgtjNfgbuoe1zqH017y9YTZTqix0G7eAfh2l82vGArqkjW2voqxf0n371/S1muoolyndWrNmLZfzGG4tl1G9Fm8AvgI8vLq13oqadzqS/m2yxwfVSim349+jdC5f1OkDqdpgj6XZFO2bgTtdxki/TWVI7T3rJFRZ6fHBXW2z+1Tnnwzc6BqTpTo1ekkvtv35nvzrrOD5cY9bhxnsI+mFlMrPAyl3THWaFZ/sNZOPXgn8yPbzVIbofhVoEtB/Z/urTQrd4zldv68Cfll9ZpoYWWVhLAJ61+3k7ZRvqW/RFdRrfHBH5bOUtuqbKbNDz6vKtz0Ne89Ze5QLlLuPJqNcHk6ZJPEEyq3k9ym3pLVGeFBWN/wjZer7S6k6z+o+PyN6LWwvr5p7dqR8oV3VoHO5ex2bt9FwuKPtF3R+l7SzpIMpdxs/Yc2Er7q+RWmC+kN1vBll3Y46a358AFjdidx153NH9VitdcQrb6K0tQ461+siqqGSkj5ge1o3bOnH9iGSDqKsJno7ZaXDOh2S3e+fZ1D97bb/V2p883OOpPdS3g/dMafuxKBjKHcLq+9aJR1r+9i6BbD9U5VlKh465eHK4/Cl3dPT3Mu2/3OSx0ddlj0pa398vau5ZAfKAva1Z39V6TqjXASc23CUywWUseCd2sYiymiEPQak66wYudbp6t8/UtbxeIvtb9Uow9CvRdXcMaG6ozK68htm/ZMdWDM659dUo4ZsTzpZaIK8LrW986BzE6Sd8jrikp5F6cx8CWuGHEL5ot7J9u4D0nevlzL0euyjpDJJ7BRKQN8RuIoyKej2AenOoWze8nPKcNhHVcF8Y8pStI9qUIYpTQxSmXB4M/C+Tpxq+vqqa9VJ29up5qqT/YxFDb3rdvJI22utllZ1Lk5nWS7oc+5HddNr7a3jrqdrdIOkLdxnQsREWXntxaM+rRoTQDzJipFVM8FjKKNOBk6emOJrMVkzgGk+EmCYmsf/UO4snutqES2VRcuGcZukXTtfZCq79NxRM+1kyw3XXZb5Rko7+gGsfefye+r1rcx8zW1dXwH+1va3VKrWrweWMXgk1mHAvwEPocy16Ixs2Qc4s0kBPPWJQb+ijKD6jMoS2UfSvI/kWIZbdXIdY1FD7+j3zTZMzWwmae11r+cBt1S/35+y+H6tqfMq69r8lrKwlilNBfek1Nr7zpRrUMbDvGbCz6wwTK1S0vMpNfS9gK9RXsuT6v4f9OS1W5X+Rsr/x8OAg2wPXN5Y0meBs91/HfFn2j6oQTnu4RorTfZJdzvlC06UVSs74/o7ozqmvcYu6X6utljsOrfA9rXT8Nwvtf1pTbC2umuumdRz5/M2SrPcQ5uMktEIV50cixp61bZ5CLCdygJZHfel3CrPGp1gUfXEL3G1WUd1y9xkYazOh7zTGdn51v8rSkAZdlgV0xnMVYZ//hNr7636Dtu31Ejb3Xx0L63ZXLrWksi2v0hZv/velD6M1wEPlvQflAksX69Rhs54/GWSHkWpHb6A8gVRdzLOKNcRny/pXZTlnbsnjA16P9TaHm46SHqj7ffYvrVPJ+8r6epvGJDP1pQRYE+i9DOdT9nvts6S0ZMNiQf7+2oAAAhnSURBVG1Sy10dr2y/VdJdNB/E8ENJh1AGIiygrDo51LDFkWx7NNUfyhjQp1I6/p7S9bMrDbfJGpcfyqiK3nPLa6TbDXhI1/Gh1Zvm34AtZvrvGuJ1WErp0FxQ/byV0iY/U+XZghKUz655/cWd150yhv1GygiEt1OWJG7y3E+jjOU/Anj6kOU/n9K0cHn1uTmWMlO0Tto5lJUuZ/o9cXG/3/sdD8jnG5QvgI2rn1cA3xhB+Y5qeP3OwHsozavnAIc3TH8vytLSyyjNau8ENh2q7DP9n9vzhx1B2Uh5xssygr9lKfCPlJ28t6XMihv4YRplABmHnwm+2NY5N64/rL236gnAsV3HQ++BO9XXk7X3Sz2vQfqvAPeb4df0kn6/9zsekM86r/8o/k+osS8psANlhMvV1ZfsEcBPZ/J1tcdvT9EHU/YtvJiyMfFSV6/eLHQwpTbaGbZ4LvVmao5yctM4+I6kF9k+HUDSCyhjhWeLUc5NGIU/qqz+eW3VSf5zyq5Sdf0BuExlraDupVqnc6aoJ/i93/Fkbpb0UtaMBOuMZpqqOp2aU+5wV1mLfbLZu41HuYxVpyhA1dv9TMqt1ELKKn8nu8FONbOZpB9S1oRfpbK41GJXa9lMNvxt3Ei6hTWdw5tTljIwpd34t7a3mCT52JD0FspwwZspndy72nY1Hv8U20+c5vLsRqkV3p9y17Y5Zf3udUYkTZD+Vf3Ou8zYnBZas11k91aRVMeb2q61qqekeZR1UJ5AeW99j9KGPqUljyX9zPakK4OOosNd0lMme9xDrMI4dgEdQGUZzFcC+1HapPaktI3VXgN7pmnI5W/HLYAMqxoiOSGPyTZodYxybsI4qMZrb18drnDzmY2z3gTzNaD6krFd6+6rq8P9YODplHH1tTrcJ8hv16m8p8YqoEt6LaUT8GbgJOBLLos5bQRc6yF3uZkJmsLyty0MIJsDj2DtL7bhevE3UD2jv9ZR9/ZcZbmBT1GaakQZy/0yN1gydqZpgjXIK7bddC2VkajmoLyYMpy19o5FPXlMadLXuAX04yjNK+vcMkna0fbVM1CsoUi6yPbju8eTSvqO7Ulvs9qmusV/PWUNlysoo3gu8BQ21t0QqSxffAOlvfhCetp5696eq6zr/nJXu1dJ2hH4lO2Foy3x+qO11yDvuDfVmjC2myzvPFamOu+m75Zr003SppKOogwp26+6JVzLbArmlbWWv5W0C82Wv22Loyh9IdfbfjJlCdtfzGyRZqWHUMZnP4ayxs8zgJttf6dhW+sm7tqKsPpcbTLSkq5ntv+180NZ1nozShPtqUxhfsaYmNJaLmMR0CntTgspNbhnUdZpmO26l799A6UJadhp57PZH23fASBpE5fNkWuvtRGF7bttf832oZQ+pRXAtyUd0TCriyV9VNKTqp+PALXXGBoXkraQ9A7KePyNKX1N/+Bm+/6OBZXFCAGw/aXec02My7DFnVwtUCTpZMru17Oap7787azWNdTvF5LuTxn/vFTSb4BfzmzpZieVja73p3TAzadMNmu6auRrKDMR30hptjmX+mv0jwWV1RFfQKmd/4XtPwxIMpYkbUqZVLRlNaO604x2P8rSEs3zHIc29N6OgKl2DMwkTXFnmbbo938oaR/KMLszPXObmMxKkk6hNLd8FTjV9pQ3rKi+aB/W3QQzG0j6M2Wp21Ws/VmrtSTEuFBZePAoSvC+seuhW4GP2f5w4zzHJKB3xqXC2mNTZ9V/ENC7FPA6a3h7insYzhZT7dyJtVVBrPMZGTqIVbfyz6csA3AZZZ/cb9j++xEWNxqQdITrb005eV7jENDbakMOairrRE+4Yp1rrmYXo9V5T1ajj+ZTpq9f5iFW9oupkfR022dXs6fXYbtpc9rYtKG31Yb8bTkHuA/1plHH9Nm4mvT2YuCYatLaTJdpQ/UU4Gz671hlmvePJKDHevML28fNdCFiHe+k7Nt5vu0fqGx1WHcZ4Bgh253m2Nf09ilp7Y1yakuTy4j1ruHN2utUzKr+gKnYkJubIpqQdCZwYGcJBpXNrs+0/fimeaWGPmKeZAu4Dcw+M12AWJekLSmbpMyn6/Nve/FEaWK9+xJwuqQXAttQ9j94wzAZJaDHeuEpbJEX69WXgQsoa3jPmgXS2sz2xyRtQgns84HDhl3rKE0uERsQSZfa3nmmyxGgtfczFfAyymz5S2C4kWCpoUdsWL4q6ZnDLu8aI9XbPPvFCc7Xlhp6xAak2nhkc0pn/Z2s6ayfFRuOxOQS0CM2IBNtPDKbNhxpC0kfsH3URFvR1V3jvluaXCI2ILbvlrQIeLjtf5a0NWUv34tmuGgbok9V//7LqDJMDT1iAyLpw8A9gL1t71hNYFlqe7cZLtoGq9rG7g7bf66O5wD3tH375CnXNS7roUfE9NjL9mHAH2H18NJZtcFFC32LMgmxYzPgm8NklIAesWHp7NFrAEkPBP48s0Xa4G3avaZ79fu9Jrl+QgnoERuArm0dTwC+AMyV9DbKBKN3z1jBAuA2Sd37QSwE7hgmo7ShR2wAujcckfRoYF/KkMVvjmKzjBiepN0o+6HeSLlzehhwkO3GHdUZ5RKxYVi9Rm61r+uVM1iWYHUgv8H2MkmPAg6jbK33NYZcATM19IgNQDYcGT+SLgb2tf0bSXtTaulHADsDO9p+UdM8U0OP2DBkw5HxM6drEbuDgBNtfwH4gqRLh8kwAT1iw5ANR8bPHEkbV+ug7wN0L2E8VGxOQI/YMKRmPn4+C3xH0s2UUS3nAUjaHvjdMBmmDT1iAyBpi6xRP34k7Qk8FPi67duqczsA97F9ceP8EtAjItohE4siIloiAT0ioiUS0CMiWiIBPSKiJRLQIyJa4v8AdXEKqlDw0DIAAAAASUVORK5CYII=
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>
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<h1 id="Let's-make-pretty,-interactive-charts-in-Plotly!">Let's make pretty, interactive charts in Plotly!<a class="anchor-link" href="#Let's-make-pretty,-interactive-charts-in-Plotly!">&#182;</a></h1>
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<div class="prompt input_prompt">In&nbsp;[60]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">200</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">50</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">x</span><span class="o">=</span><span class="n">df_20</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">y</span><span class="o">=</span><span class="n">df_20</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">*</span><span class="mi">100</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
            <span class="n">color</span><span class="o">=</span><span class="n">color_s</span>
        <span class="p">),</span>
    <span class="p">)</span>
<span class="p">]</span>

<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
     <span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Technologies in Data Scientist Job Listings 2019&#39;</span><span class="p">,</span>
    <span class="s1">&#39;yaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Avg </span><span class="si">% o</span><span class="s1">f Listings&#39;</span><span class="p">,</span> <span class="p">},</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s2">&quot;Technology&quot;</span><span class="p">,</span> <span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>
    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">500</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
</pre></div>

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<h2 id="Top-15">Top 15<a class="anchor-link" href="#Top-15">&#182;</a></h2>
</div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[108]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_15</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">15</span><span class="p">]</span>
<span class="n">df_15</span>
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    <div class="prompt output_prompt">Out[108]:</div>


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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[112]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">200</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">50</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">x</span><span class="o">=</span><span class="n">df_15</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">y</span><span class="o">=</span><span class="n">df_15</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">*</span><span class="mi">100</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
            <span class="n">color</span><span class="o">=</span><span class="n">color_s</span>
        <span class="p">),</span>
    <span class="p">)</span>
<span class="p">]</span>

<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
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    <span class="s1">&#39;yaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Avg </span><span class="si">% o</span><span class="s1">f Listings&#39;</span><span class="p">,</span> <span class="p">},</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s2">&quot;Technology&quot;</span><span class="p">,</span> <span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>
    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">500</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
</pre></div>

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<h1 id="Looking-at-just-the-top-10-for-2019">Looking at just the top 10 for 2019<a class="anchor-link" href="#Looking-at-just-the-top-10-for-2019">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_10</span> <span class="o">=</span> <span class="n">df_combo</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">10</span><span class="p">]</span>
<span class="n">df_10</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>2018</th>
      <th>2019</th>
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    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
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      <td>0.62</td>
      <td>0.55</td>
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      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
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    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
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      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
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      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
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      <td>0.20</td>
      <td>0.20</td>
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      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
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      <td>0.24</td>
      <td>0.18</td>
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      <td>0.16</td>
      <td>0.15</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_10</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;bar&#39;</span><span class="p">,</span> <span class="n">title</span><span class="o">=</span><span class="s1">&#39;Most In Demand Data Science Tech Skills&#39;</span><span class="p">)</span>
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<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x1a1b3e1a90&gt;</pre>
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
"
>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[63]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_10</span> <span class="o">=</span> <span class="n">df_10</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;2019&#39;</span><span class="p">)</span>
</pre></div>

    </div>
</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[64]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">50</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">200</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">y</span><span class="o">=</span><span class="n">df_10</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">x</span><span class="o">=</span><span class="n">df_10</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span><span class="p">,</span>
        <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;h&#39;</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
            <span class="n">color</span><span class="o">=</span><span class="n">color_s</span>
        <span class="p">),</span>
    <span class="p">)</span>
<span class="p">]</span>

<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Technologies in Data Scientist Job Listings 2019&#39;</span><span class="p">,</span>
    <span class="s1">&#39;yaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Software&#39;</span><span class="p">,</span> <span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s2">&quot;Avg </span><span class="si">% o</span><span class="s2">f Listings&quot;</span><span class="p">},</span>
    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">500</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
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<h1 id="Bigger-DF-with-at-least-5%-of-listings-average-in-2019">Bigger DF with at least 5% of listings average in 2019<a class="anchor-link" href="#Bigger-DF-with-at-least-5%-of-listings-average-in-2019">&#182;</a></h1>
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<div class="prompt input_prompt">In&nbsp;[65]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five</span> <span class="o">=</span> <span class="n">df_combo</span><span class="p">[</span><span class="n">df_combo</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">&gt;=.</span><span class="mi">05</span><span class="p">]</span>
<span class="n">df_over_five</span>
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    <div class="prompt output_prompt">Out[65]:</div>


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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span> 
</pre></div>

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<h2 id="2018-Averages-Chart">2018 Averages Chart<a class="anchor-link" href="#2018-Averages-Chart">&#182;</a></h2>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[76]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_g</span> <span class="o">=</span> <span class="n">df_over_five</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;2018&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
</pre></div>

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<div class="prompt input_prompt">In&nbsp;[78]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">50</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">200</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">y</span><span class="o">=</span><span class="n">df_over_five_g</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">x</span><span class="o">=</span><span class="n">df_over_five_g</span><span class="p">[</span><span class="s1">&#39;2018&#39;</span><span class="p">]</span><span class="o">*</span><span class="mi">100</span><span class="p">,</span>
        <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;h&#39;</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
            <span class="n">color</span><span class="o">=</span><span class="n">color_s</span>
        <span class="p">),</span>
    <span class="p">)</span>
<span class="p">]</span>

<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Technologies in Data Scientist Job Listings 2018&#39;</span><span class="p">,</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Avg </span><span class="si">% o</span><span class="s1">f Listings&#39;</span><span class="p">,</span> <span class="p">},</span>
    <span class="s1">&#39;yaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>
    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">700</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
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<h2 id="2019-Averages-Chart">2019 Averages Chart<a class="anchor-link" href="#2019-Averages-Chart">&#182;</a></h2>
</div>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[66]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_g</span> <span class="o">=</span> <span class="n">df_over_five</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;2019&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[67]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">50</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">200</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">y</span><span class="o">=</span><span class="n">df_over_five_g</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">x</span><span class="o">=</span><span class="n">df_over_five_g</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">*</span><span class="mi">100</span><span class="p">,</span>
        <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;h&#39;</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
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<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Technologies in Data Scientist Job Listings 2019&#39;</span><span class="p">,</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Avg </span><span class="si">% o</span><span class="s1">f Listings&#39;</span><span class="p">,</span> <span class="p">},</span>
    <span class="s1">&#39;yaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>
    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">700</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
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<h2 id="Compute-%-change">Compute % change<a class="anchor-link" href="#Compute-%-change">&#182;</a></h2>
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<div class="prompt input_prompt">In&nbsp;[68]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_changes</span> <span class="o">=</span> <span class="n">df_over_five</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">df_over_five_changes</span><span class="p">[</span><span class="s1">&#39;Change in Avg&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_over_five_changes</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_over_five_changes</span><span class="p">[</span><span class="s1">&#39;2018&#39;</span><span class="p">]</span>
<span class="n">df_over_five_changes</span> <span class="o">=</span>  <span class="n">df_over_five_changes</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span> <span class="o">=</span> <span class="s1">&#39;Change in Avg&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_over_five_changes</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
      <th>Change in Avg</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
      <td>0.05</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
      <td>0.02</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.01</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>-0.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>-0.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
      <td>-0.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
      <td>-0.02</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
      <td>-0.03</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
      <td>-0.03</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
      <td>-0.06</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
      <td>-0.07</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pct_change</span> <span class="o">=</span> <span class="n">df_over_five</span><span class="o">.</span><span class="n">pct_change</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;2019&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> 
<span class="n">pct_change</span>
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      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
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    <tr>
      <th>SAS</th>
      <td>nan</td>
      <td>-0.25</td>
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    <tr>
      <th>Matlab</th>
      <td>nan</td>
      <td>-0.25</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>nan</td>
      <td>-0.13</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>nan</td>
      <td>-0.12</td>
    </tr>
    <tr>
      <th>R</th>
      <td>nan</td>
      <td>-0.11</td>
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    <tr>
      <th>C</th>
      <td>nan</td>
      <td>-0.11</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>nan</td>
      <td>-0.11</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>nan</td>
      <td>-0.10</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>nan</td>
      <td>-0.09</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>nan</td>
      <td>-0.04</td>
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    <tr>
      <th>Scala</th>
      <td>nan</td>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>nan</td>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>nan</td>
      <td>-0.02</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>nan</td>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>nan</td>
      <td>0.03</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>nan</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>nan</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>nan</td>
      <td>0.08</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>nan</td>
      <td>0.08</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>nan</td>
      <td>0.17</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>nan</td>
      <td>0.24</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>nan</td>
      <td>0.26</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>nan</td>
      <td>0.33</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>nan</td>
      <td>0.40</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>nan</td>
      <td>0.43</td>
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    <tr>
      <th>PyTorch</th>
      <td>nan</td>
      <td>1.08</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">pct_change</span> <span class="o">=</span> <span class="n">pct_change</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="s1">&#39;2018&#39;</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">pct_change</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;% Change&#39;</span><span class="p">]</span>
<span class="n">pct_change</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>% Change</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>SAS</th>
      <td>-0.25</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>-0.25</td>
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    <tr>
      <th>Pig</th>
      <td>-0.13</td>
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    <tr>
      <th>Hadoop</th>
      <td>-0.12</td>
    </tr>
    <tr>
      <th>R</th>
      <td>-0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>-0.11</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>-0.11</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>-0.10</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>-0.09</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>-0.04</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>-0.02</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>-0.01</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>0.03</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.03</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.06</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.08</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.08</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.17</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.24</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.26</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.33</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.40</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.43</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>1.08</td>
    </tr>
  </tbody>
</table>
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<h2 id="DataFrame-for-medium-article">DataFrame for medium article<a class="anchor-link" href="#DataFrame-for-medium-article">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_all</span> <span class="o">=</span> <span class="n">df_over_five_changes</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">pct_change</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">df_over_five_all</span> <span class="o">=</span> <span class="n">df_over_five_all</span> <span class="o">*</span> <span class="mi">100</span>
<span class="n">df_over_five_all</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">name</span> <span class="o">=</span> <span class="s1">&#39;Keyword&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_all</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
      <th>Change in Avg</th>
      <th>% Change</th>
    </tr>
    <tr>
      <th>Keyword</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AWS</th>
      <td>14.57</td>
      <td>19.43</td>
      <td>4.86</td>
      <td>33.33</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>2.94</td>
      <td>6.12</td>
      <td>3.18</td>
      <td>108.09</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>7.60</td>
      <td>10.67</td>
      <td>3.07</td>
      <td>40.33</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>51.33</td>
      <td>54.30</td>
      <td>2.97</td>
      <td>5.78</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>12.08</td>
      <td>14.16</td>
      <td>2.08</td>
      <td>17.25</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>4.59</td>
      <td>6.57</td>
      <td>1.97</td>
      <td>43.00</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>72.55</td>
      <td>74.45</td>
      <td>1.90</td>
      <td>2.62</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>7.05</td>
      <td>8.71</td>
      <td>1.66</td>
      <td>23.53</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>4.60</td>
      <td>5.78</td>
      <td>1.18</td>
      <td>25.60</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>6.15</td>
      <td>6.63</td>
      <td>0.47</td>
      <td>7.70</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>5.45</td>
      <td>5.91</td>
      <td>0.46</td>
      <td>8.44</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>5.04</td>
      <td>5.37</td>
      <td>0.33</td>
      <td>6.61</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>9.22</td>
      <td>9.51</td>
      <td>0.29</td>
      <td>3.13</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>19.98</td>
      <td>19.84</td>
      <td>-0.13</td>
      <td>-0.66</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>11.04</td>
      <td>10.81</td>
      <td>-0.23</td>
      <td>-2.04</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>9.42</td>
      <td>9.04</td>
      <td>-0.37</td>
      <td>-3.98</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>14.55</td>
      <td>14.02</td>
      <td>-0.53</td>
      <td>-3.62</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>6.21</td>
      <td>5.39</td>
      <td>-0.82</td>
      <td>-13.20</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>29.67</td>
      <td>28.62</td>
      <td>-1.05</td>
      <td>-3.54</td>
    </tr>
    <tr>
      <th>C</th>
      <td>11.19</td>
      <td>9.94</td>
      <td>-1.25</td>
      <td>-11.13</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>13.92</td>
      <td>12.57</td>
      <td>-1.35</td>
      <td>-9.70</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>16.44</td>
      <td>14.71</td>
      <td>-1.73</td>
      <td>-10.53</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>27.07</td>
      <td>24.57</td>
      <td>-2.50</td>
      <td>-9.24</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>12.86</td>
      <td>9.67</td>
      <td>-3.19</td>
      <td>-24.79</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>31.05</td>
      <td>27.48</td>
      <td>-3.57</td>
      <td>-11.51</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>23.98</td>
      <td>17.87</td>
      <td>-6.11</td>
      <td>-25.48</td>
    </tr>
    <tr>
      <th>R</th>
      <td>62.03</td>
      <td>55.12</td>
      <td>-6.91</td>
      <td>-11.13</td>
    </tr>
  </tbody>
</table>
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<h2 id="Change-in-avg-from-2018-to-2019">Change in avg from 2018 to 2019<a class="anchor-link" href="#Change-in-avg-from-2018-to-2019">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_all_c</span> <span class="o">=</span> <span class="n">df_over_five_all</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;Change in Avg&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">50</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">200</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
    <span class="n">go</span><span class="o">.</span><span class="n">Bar</span><span class="p">(</span>
        <span class="n">y</span><span class="o">=</span><span class="n">df_over_five_all_c</span><span class="o">.</span><span class="n">index</span><span class="p">,</span>          
        <span class="n">x</span><span class="o">=</span><span class="n">df_over_five_all_c</span><span class="p">[</span><span class="s1">&#39;Change in Avg&#39;</span><span class="p">],</span>
        <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;h&#39;</span><span class="p">,</span>
        <span class="n">marker</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
            <span class="n">colorscale</span><span class="o">=</span><span class="s1">&#39;Jet&#39;</span><span class="p">,</span>
            <span class="c1">#cauto=True,</span>
            <span class="n">color</span><span class="o">=</span><span class="n">color_s</span>
        <span class="p">),</span>
        
        
        <span class="c1"># text=p_s_df[&#39;Score&#39;],</span>
        <span class="c1"># textposition=&#39;outside&#39;,</span>
        <span class="c1"># textfont=dict(size=10)</span>
    <span class="p">)</span>
<span class="p">]</span>

<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
    <span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Change in Avg </span><span class="si">% o</span><span class="s1">f Technologies in Data Scientist Job Listings 2019&#39;</span><span class="p">,</span>
    <span class="s1">&#39;xaxis&#39;</span><span class="p">:</span> <span class="p">{</span><span class="s1">&#39;title&#39;</span><span class="p">:</span> <span class="s1">&#39;Change in Avg %&#39;</span><span class="p">,</span> <span class="s1">&#39;tickmode&#39;</span><span class="p">:</span> <span class="s1">&#39;linear&#39;</span><span class="p">},</span>

    <span class="s1">&#39;title_x&#39;</span><span class="p">:</span><span class="mf">0.5</span><span class="p">,</span>
    <span class="s1">&#39;height&#39;</span><span class="p">:</span> <span class="mi">700</span>
    
<span class="p">}</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
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<h1 id="Percent-change">Percent change<a class="anchor-link" href="#Percent-change">&#182;</a></h1>
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<div class="prompt input_prompt">In&nbsp;[74]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five_all_c</span> <span class="o">=</span> <span class="n">df_over_five_all</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;% Change&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[75]:</div>
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    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cmax</span><span class="o">=</span><span class="mi">50</span>
<span class="n">cmin</span><span class="o">=</span><span class="mi">200</span>
<span class="n">color_s</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">cmin</span><span class="p">,</span> <span class="n">cmax</span><span class="p">,</span> <span class="mi">30</span><span class="p">)</span>

<span class="n">data</span> <span class="o">=</span> <span class="p">[</span>
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        <span class="n">x</span><span class="o">=</span><span class="n">df_over_five_all_c</span><span class="p">[</span><span class="s1">&#39;% Change&#39;</span><span class="p">],</span>
        <span class="n">orientation</span><span class="o">=</span><span class="s1">&#39;h&#39;</span><span class="p">,</span>
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<span class="n">layout</span> <span class="o">=</span> <span class="p">{</span>
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<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">)</span>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[79]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five</span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[79]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
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    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[81]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2019_rank&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2019&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_over_five</span>
</pre></div>

    </div>
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<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[81]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
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    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
      <th>2019_rank</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>3.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
      <td>5.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
      <td>6.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>7.00</td>
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    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
      <td>8.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
      <td>9.00</td>
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    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
      <td>10.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
      <td>11.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
      <td>12.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
      <td>13.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>14.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
      <td>15.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
      <td>16.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
      <td>17.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>18.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
      <td>19.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
      <td>20.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>21.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>22.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
      <td>23.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>24.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>25.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>26.00</td>
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    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>27.00</td>
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  </tbody>
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</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[82]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2018_rank&#39;</span><span class="p">]</span><span class="o">=</span><span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2018&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">rank</span><span class="p">(</span><span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_over_five</span>
</pre></div>

    </div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

    <div class="prompt output_prompt">Out[82]:</div>


<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
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    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
      <td>1.00</td>
      <td>1.00</td>
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    <tr>
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      <td>0.62</td>
      <td>0.55</td>
      <td>2.00</td>
      <td>2.00</td>
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    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>3.00</td>
      <td>3.00</td>
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    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
      <td>4.00</td>
      <td>5.00</td>
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    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
      <td>5.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
      <td>6.00</td>
      <td>6.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>7.00</td>
      <td>8.00</td>
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    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
      <td>8.00</td>
      <td>10.00</td>
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      <td>0.24</td>
      <td>0.18</td>
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      <td>7.00</td>
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    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
      <td>10.00</td>
      <td>9.00</td>
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    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
      <td>11.00</td>
      <td>14.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
      <td>12.00</td>
      <td>11.00</td>
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    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
      <td>13.00</td>
      <td>12.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>14.00</td>
      <td>16.00</td>
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    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
      <td>15.00</td>
      <td>19.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
      <td>16.00</td>
      <td>15.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
      <td>17.00</td>
      <td>13.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>18.00</td>
      <td>18.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
      <td>19.00</td>
      <td>17.00</td>
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    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
      <td>20.00</td>
      <td>20.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>21.00</td>
      <td>22.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>22.00</td>
      <td>26.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
      <td>23.00</td>
      <td>27.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>24.00</td>
      <td>23.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>25.00</td>
      <td>25.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>26.00</td>
      <td>21.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>27.00</td>
      <td>24.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[84]:</div>
<div class="inner_cell">
    <div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;rank_change&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2018_rank&#39;</span><span class="p">]</span> <span class="o">-</span> <span class="n">df_over_five</span><span class="p">[</span><span class="s1">&#39;2019_rank&#39;</span><span class="p">]</span>
<span class="n">df_over_five</span>
</pre></div>

    </div>
</div>
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    <div class="prompt output_prompt">Out[84]:</div>


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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

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        text-align: right;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018</th>
      <th>2019</th>
      <th>2019_rank</th>
      <th>2018_rank</th>
      <th>rank_change</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>Python</th>
      <td>0.73</td>
      <td>0.74</td>
      <td>1.00</td>
      <td>1.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>0.62</td>
      <td>0.55</td>
      <td>2.00</td>
      <td>2.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>0.51</td>
      <td>0.54</td>
      <td>3.00</td>
      <td>3.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>0.30</td>
      <td>0.29</td>
      <td>4.00</td>
      <td>5.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>0.31</td>
      <td>0.27</td>
      <td>5.00</td>
      <td>4.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>0.27</td>
      <td>0.25</td>
      <td>6.00</td>
      <td>6.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>0.20</td>
      <td>0.20</td>
      <td>7.00</td>
      <td>8.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>0.15</td>
      <td>0.19</td>
      <td>8.00</td>
      <td>10.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>0.24</td>
      <td>0.18</td>
      <td>9.00</td>
      <td>7.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>0.16</td>
      <td>0.15</td>
      <td>10.00</td>
      <td>9.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>0.12</td>
      <td>0.14</td>
      <td>11.00</td>
      <td>14.00</td>
      <td>3.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>0.15</td>
      <td>0.14</td>
      <td>12.00</td>
      <td>11.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>0.14</td>
      <td>0.13</td>
      <td>13.00</td>
      <td>12.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>0.11</td>
      <td>0.11</td>
      <td>14.00</td>
      <td>16.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>0.08</td>
      <td>0.11</td>
      <td>15.00</td>
      <td>19.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>0.11</td>
      <td>0.10</td>
      <td>16.00</td>
      <td>15.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>0.13</td>
      <td>0.10</td>
      <td>17.00</td>
      <td>13.00</td>
      <td>-4.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>0.09</td>
      <td>0.10</td>
      <td>18.00</td>
      <td>18.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>0.09</td>
      <td>0.09</td>
      <td>19.00</td>
      <td>17.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>0.07</td>
      <td>0.09</td>
      <td>20.00</td>
      <td>20.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>0.06</td>
      <td>0.07</td>
      <td>21.00</td>
      <td>22.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>0.05</td>
      <td>0.07</td>
      <td>22.00</td>
      <td>26.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>0.03</td>
      <td>0.06</td>
      <td>23.00</td>
      <td>27.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>24.00</td>
      <td>23.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>0.05</td>
      <td>0.06</td>
      <td>25.00</td>
      <td>25.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>0.06</td>
      <td>0.05</td>
      <td>26.00</td>
      <td>21.00</td>
      <td>-5.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>0.05</td>
      <td>0.05</td>
      <td>27.00</td>
      <td>24.00</td>
      <td>-3.00</td>
    </tr>
  </tbody>
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<h2 id="Add-rank-to-the-table-for-article">Add rank to the table for article<a class="anchor-link" href="#Add-rank-to-the-table-for-article">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">type</span><span class="p">(</span><span class="n">df_to_print</span><span class="p">)</span>
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<pre>pandas.io.formats.style.Styler</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span> <span class="o">=</span> <span class="n">df_over_five_all</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">df_over_five</span><span class="p">,</span> <span class="n">left_index</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">right_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span> <span class="o">=</span> <span class="n">df_to_print</span><span class="o">.</span><span class="n">drop</span><span class="p">([</span><span class="s1">&#39;2018_y&#39;</span><span class="p">,</span> <span class="s1">&#39;2019_y&#39;</span><span class="p">],</span>  <span class="n">axis</span> <span class="o">=</span> <span class="s1">&#39;columns&#39;</span><span class="p">)</span>
<span class="n">df_to_print</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018_x</th>
      <th>2019_x</th>
      <th>Change in Avg</th>
      <th>% Change</th>
      <th>2019_rank</th>
      <th>2018_rank</th>
      <th>rank_change</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AWS</th>
      <td>14.57</td>
      <td>19.43</td>
      <td>4.86</td>
      <td>33.33</td>
      <td>8.00</td>
      <td>10.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>2.94</td>
      <td>6.12</td>
      <td>3.18</td>
      <td>108.09</td>
      <td>23.00</td>
      <td>27.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>7.60</td>
      <td>10.67</td>
      <td>3.07</td>
      <td>40.33</td>
      <td>15.00</td>
      <td>19.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>51.33</td>
      <td>54.30</td>
      <td>2.97</td>
      <td>5.78</td>
      <td>3.00</td>
      <td>3.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>12.08</td>
      <td>14.16</td>
      <td>2.08</td>
      <td>17.25</td>
      <td>11.00</td>
      <td>14.00</td>
      <td>3.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>4.59</td>
      <td>6.57</td>
      <td>1.97</td>
      <td>43.00</td>
      <td>22.00</td>
      <td>26.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>72.55</td>
      <td>74.45</td>
      <td>1.90</td>
      <td>2.62</td>
      <td>1.00</td>
      <td>1.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>7.05</td>
      <td>8.71</td>
      <td>1.66</td>
      <td>23.53</td>
      <td>20.00</td>
      <td>20.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>4.60</td>
      <td>5.78</td>
      <td>1.18</td>
      <td>25.60</td>
      <td>25.00</td>
      <td>25.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>6.15</td>
      <td>6.63</td>
      <td>0.47</td>
      <td>7.70</td>
      <td>21.00</td>
      <td>22.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>5.45</td>
      <td>5.91</td>
      <td>0.46</td>
      <td>8.44</td>
      <td>24.00</td>
      <td>23.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>5.04</td>
      <td>5.37</td>
      <td>0.33</td>
      <td>6.61</td>
      <td>27.00</td>
      <td>24.00</td>
      <td>-3.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>9.22</td>
      <td>9.51</td>
      <td>0.29</td>
      <td>3.13</td>
      <td>18.00</td>
      <td>18.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>19.98</td>
      <td>19.84</td>
      <td>-0.13</td>
      <td>-0.66</td>
      <td>7.00</td>
      <td>8.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>11.04</td>
      <td>10.81</td>
      <td>-0.23</td>
      <td>-2.04</td>
      <td>14.00</td>
      <td>16.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>9.42</td>
      <td>9.04</td>
      <td>-0.37</td>
      <td>-3.98</td>
      <td>19.00</td>
      <td>17.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>14.55</td>
      <td>14.02</td>
      <td>-0.53</td>
      <td>-3.62</td>
      <td>12.00</td>
      <td>11.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>6.21</td>
      <td>5.39</td>
      <td>-0.82</td>
      <td>-13.20</td>
      <td>26.00</td>
      <td>21.00</td>
      <td>-5.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>29.67</td>
      <td>28.62</td>
      <td>-1.05</td>
      <td>-3.54</td>
      <td>4.00</td>
      <td>5.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>11.19</td>
      <td>9.94</td>
      <td>-1.25</td>
      <td>-11.13</td>
      <td>16.00</td>
      <td>15.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>13.92</td>
      <td>12.57</td>
      <td>-1.35</td>
      <td>-9.70</td>
      <td>13.00</td>
      <td>12.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>16.44</td>
      <td>14.71</td>
      <td>-1.73</td>
      <td>-10.53</td>
      <td>10.00</td>
      <td>9.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>27.07</td>
      <td>24.57</td>
      <td>-2.50</td>
      <td>-9.24</td>
      <td>6.00</td>
      <td>6.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>12.86</td>
      <td>9.67</td>
      <td>-3.19</td>
      <td>-24.79</td>
      <td>17.00</td>
      <td>13.00</td>
      <td>-4.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>31.05</td>
      <td>27.48</td>
      <td>-3.57</td>
      <td>-11.51</td>
      <td>5.00</td>
      <td>4.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>23.98</td>
      <td>17.87</td>
      <td>-6.11</td>
      <td>-25.48</td>
      <td>9.00</td>
      <td>7.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>62.03</td>
      <td>55.12</td>
      <td>-6.91</td>
      <td>-11.13</td>
      <td>2.00</td>
      <td>2.00</td>
      <td>0.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span><span class="o">.</span><span class="n">columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;2018 Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;2019 Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;Change in Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;% Change&#39;</span><span class="p">,</span> <span class="s1">&#39;2019 Rank&#39;</span><span class="p">,</span> <span class="s1">&#39;2018 Rank&#39;</span><span class="p">,</span> <span class="s1">&#39;Rank Change&#39;</span><span class="p">]</span>
<span class="n">df_to_print</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018 Avg</th>
      <th>2019 Avg</th>
      <th>Change in Avg</th>
      <th>% Change</th>
      <th>2019 Rank</th>
      <th>2018 Rank</th>
      <th>Rank Change</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>AWS</th>
      <td>14.57</td>
      <td>19.43</td>
      <td>4.86</td>
      <td>33.33</td>
      <td>8.00</td>
      <td>10.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>PyTorch</th>
      <td>2.94</td>
      <td>6.12</td>
      <td>3.18</td>
      <td>108.09</td>
      <td>23.00</td>
      <td>27.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>7.60</td>
      <td>10.67</td>
      <td>3.07</td>
      <td>40.33</td>
      <td>15.00</td>
      <td>19.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>51.33</td>
      <td>54.30</td>
      <td>2.97</td>
      <td>5.78</td>
      <td>3.00</td>
      <td>3.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>12.08</td>
      <td>14.16</td>
      <td>2.08</td>
      <td>17.25</td>
      <td>11.00</td>
      <td>14.00</td>
      <td>3.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>4.59</td>
      <td>6.57</td>
      <td>1.97</td>
      <td>43.00</td>
      <td>22.00</td>
      <td>26.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>72.55</td>
      <td>74.45</td>
      <td>1.90</td>
      <td>2.62</td>
      <td>1.00</td>
      <td>1.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>7.05</td>
      <td>8.71</td>
      <td>1.66</td>
      <td>23.53</td>
      <td>20.00</td>
      <td>20.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>4.60</td>
      <td>5.78</td>
      <td>1.18</td>
      <td>25.60</td>
      <td>25.00</td>
      <td>25.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>6.15</td>
      <td>6.63</td>
      <td>0.47</td>
      <td>7.70</td>
      <td>21.00</td>
      <td>22.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>5.45</td>
      <td>5.91</td>
      <td>0.46</td>
      <td>8.44</td>
      <td>24.00</td>
      <td>23.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>5.04</td>
      <td>5.37</td>
      <td>0.33</td>
      <td>6.61</td>
      <td>27.00</td>
      <td>24.00</td>
      <td>-3.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>9.22</td>
      <td>9.51</td>
      <td>0.29</td>
      <td>3.13</td>
      <td>18.00</td>
      <td>18.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>19.98</td>
      <td>19.84</td>
      <td>-0.13</td>
      <td>-0.66</td>
      <td>7.00</td>
      <td>8.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>11.04</td>
      <td>10.81</td>
      <td>-0.23</td>
      <td>-2.04</td>
      <td>14.00</td>
      <td>16.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>9.42</td>
      <td>9.04</td>
      <td>-0.37</td>
      <td>-3.98</td>
      <td>19.00</td>
      <td>17.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>14.55</td>
      <td>14.02</td>
      <td>-0.53</td>
      <td>-3.62</td>
      <td>12.00</td>
      <td>11.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>6.21</td>
      <td>5.39</td>
      <td>-0.82</td>
      <td>-13.20</td>
      <td>26.00</td>
      <td>21.00</td>
      <td>-5.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>29.67</td>
      <td>28.62</td>
      <td>-1.05</td>
      <td>-3.54</td>
      <td>4.00</td>
      <td>5.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>11.19</td>
      <td>9.94</td>
      <td>-1.25</td>
      <td>-11.13</td>
      <td>16.00</td>
      <td>15.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>13.92</td>
      <td>12.57</td>
      <td>-1.35</td>
      <td>-9.70</td>
      <td>13.00</td>
      <td>12.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>16.44</td>
      <td>14.71</td>
      <td>-1.73</td>
      <td>-10.53</td>
      <td>10.00</td>
      <td>9.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>27.07</td>
      <td>24.57</td>
      <td>-2.50</td>
      <td>-9.24</td>
      <td>6.00</td>
      <td>6.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>12.86</td>
      <td>9.67</td>
      <td>-3.19</td>
      <td>-24.79</td>
      <td>17.00</td>
      <td>13.00</td>
      <td>-4.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>31.05</td>
      <td>27.48</td>
      <td>-3.57</td>
      <td>-11.51</td>
      <td>5.00</td>
      <td>4.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>23.98</td>
      <td>17.87</td>
      <td>-6.11</td>
      <td>-25.48</td>
      <td>9.00</td>
      <td>7.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>62.03</td>
      <td>55.12</td>
      <td>-6.91</td>
      <td>-11.13</td>
      <td>2.00</td>
      <td>2.00</td>
      <td>0.00</td>
    </tr>
  </tbody>
</table>
</div>
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<p>Reorder 2018 and 2019 rank columns</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">new_cols</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;2018 Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;2019 Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;Change in Avg&#39;</span><span class="p">,</span> <span class="s1">&#39;% Change&#39;</span><span class="p">,</span> <span class="s1">&#39;2018 Rank&#39;</span><span class="p">,</span> <span class="s1">&#39;2019 Rank&#39;</span><span class="p">,</span> <span class="s1">&#39;Rank Change&#39;</span><span class="p">]</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span> <span class="o">=</span> <span class="n">df_to_print</span><span class="p">[</span><span class="n">new_cols</span><span class="p">]</span>
<span class="n">df_to_print</span> <span class="o">=</span> <span class="n">df_to_print</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">by</span><span class="o">=</span><span class="s1">&#39;% Change&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">df_to_print</span>
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<div>
<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>2018 Avg</th>
      <th>2019 Avg</th>
      <th>Change in Avg</th>
      <th>% Change</th>
      <th>2018 Rank</th>
      <th>2019 Rank</th>
      <th>Rank Change</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>PyTorch</th>
      <td>2.94</td>
      <td>6.12</td>
      <td>3.18</td>
      <td>108.09</td>
      <td>27.00</td>
      <td>23.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Keras</th>
      <td>4.59</td>
      <td>6.57</td>
      <td>1.97</td>
      <td>43.00</td>
      <td>26.00</td>
      <td>22.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>Azure</th>
      <td>7.60</td>
      <td>10.67</td>
      <td>3.07</td>
      <td>40.33</td>
      <td>19.00</td>
      <td>15.00</td>
      <td>4.00</td>
    </tr>
    <tr>
      <th>AWS</th>
      <td>14.57</td>
      <td>19.43</td>
      <td>4.86</td>
      <td>33.33</td>
      <td>10.00</td>
      <td>8.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>Git</th>
      <td>4.60</td>
      <td>5.78</td>
      <td>1.18</td>
      <td>25.60</td>
      <td>25.00</td>
      <td>25.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Scikit-learn</th>
      <td>7.05</td>
      <td>8.71</td>
      <td>1.66</td>
      <td>23.53</td>
      <td>20.00</td>
      <td>20.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>TensorFlow</th>
      <td>12.08</td>
      <td>14.16</td>
      <td>2.08</td>
      <td>17.25</td>
      <td>14.00</td>
      <td>11.00</td>
      <td>3.00</td>
    </tr>
    <tr>
      <th>Javascript</th>
      <td>5.45</td>
      <td>5.91</td>
      <td>0.46</td>
      <td>8.44</td>
      <td>23.00</td>
      <td>24.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Pandas</th>
      <td>6.15</td>
      <td>6.63</td>
      <td>0.47</td>
      <td>7.70</td>
      <td>22.00</td>
      <td>21.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>NumPy</th>
      <td>5.04</td>
      <td>5.37</td>
      <td>0.33</td>
      <td>6.61</td>
      <td>24.00</td>
      <td>27.00</td>
      <td>-3.00</td>
    </tr>
    <tr>
      <th>SQL</th>
      <td>51.33</td>
      <td>54.30</td>
      <td>2.97</td>
      <td>5.78</td>
      <td>3.00</td>
      <td>3.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Linux</th>
      <td>9.22</td>
      <td>9.51</td>
      <td>0.29</td>
      <td>3.13</td>
      <td>18.00</td>
      <td>18.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Python</th>
      <td>72.55</td>
      <td>74.45</td>
      <td>1.90</td>
      <td>2.62</td>
      <td>1.00</td>
      <td>1.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Tableau</th>
      <td>19.98</td>
      <td>19.84</td>
      <td>-0.13</td>
      <td>-0.66</td>
      <td>8.00</td>
      <td>7.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Excel</th>
      <td>11.04</td>
      <td>10.81</td>
      <td>-0.23</td>
      <td>-2.04</td>
      <td>16.00</td>
      <td>14.00</td>
      <td>2.00</td>
    </tr>
    <tr>
      <th>Spark</th>
      <td>29.67</td>
      <td>28.62</td>
      <td>-1.05</td>
      <td>-3.54</td>
      <td>5.00</td>
      <td>4.00</td>
      <td>1.00</td>
    </tr>
    <tr>
      <th>Scala</th>
      <td>14.55</td>
      <td>14.02</td>
      <td>-0.53</td>
      <td>-3.62</td>
      <td>11.00</td>
      <td>12.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>NoSQL</th>
      <td>9.42</td>
      <td>9.04</td>
      <td>-0.37</td>
      <td>-3.98</td>
      <td>17.00</td>
      <td>19.00</td>
      <td>-2.00</td>
    </tr>
    <tr>
      <th>Java</th>
      <td>27.07</td>
      <td>24.57</td>
      <td>-2.50</td>
      <td>-9.24</td>
      <td>6.00</td>
      <td>6.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>C++</th>
      <td>13.92</td>
      <td>12.57</td>
      <td>-1.35</td>
      <td>-9.70</td>
      <td>12.00</td>
      <td>13.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Hive</th>
      <td>16.44</td>
      <td>14.71</td>
      <td>-1.73</td>
      <td>-10.53</td>
      <td>9.00</td>
      <td>10.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>C</th>
      <td>11.19</td>
      <td>9.94</td>
      <td>-1.25</td>
      <td>-11.13</td>
      <td>15.00</td>
      <td>16.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>R</th>
      <td>62.03</td>
      <td>55.12</td>
      <td>-6.91</td>
      <td>-11.13</td>
      <td>2.00</td>
      <td>2.00</td>
      <td>0.00</td>
    </tr>
    <tr>
      <th>Hadoop</th>
      <td>31.05</td>
      <td>27.48</td>
      <td>-3.57</td>
      <td>-11.51</td>
      <td>4.00</td>
      <td>5.00</td>
      <td>-1.00</td>
    </tr>
    <tr>
      <th>Pig</th>
      <td>6.21</td>
      <td>5.39</td>
      <td>-0.82</td>
      <td>-13.20</td>
      <td>21.00</td>
      <td>26.00</td>
      <td>-5.00</td>
    </tr>
    <tr>
      <th>Matlab</th>
      <td>12.86</td>
      <td>9.67</td>
      <td>-3.19</td>
      <td>-24.79</td>
      <td>13.00</td>
      <td>17.00</td>
      <td>-4.00</td>
    </tr>
    <tr>
      <th>SAS</th>
      <td>23.98</td>
      <td>17.87</td>
      <td>-6.11</td>
      <td>-25.48</td>
      <td>7.00</td>
      <td>9.00</td>
      <td>-2.00</td>
    </tr>
  </tbody>
</table>
</div>
</div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span><span class="o">.</span><span class="n">rename</span><span class="p">(</span><span class="n">index</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;Matlab&#39;</span><span class="p">:</span><span class="s1">&#39;MATLAB&#39;</span><span class="p">},</span><span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df_to_print</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s2">&quot;</span><span class="si">{:,.1f}</span><span class="s2">&quot;</span><span class="p">)</span>
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<style  type="text/css" >
</style><table id="T_53aa4a7a_16db_11ea_9f5c_80e65005551c" ><thead>    <tr>        <th class="blank level0" ></th>        <th class="col_heading level0 col0" >2018 Avg</th>        <th class="col_heading level0 col1" >2019 Avg</th>        <th class="col_heading level0 col2" >Change in Avg</th>        <th class="col_heading level0 col3" >% Change</th>        <th class="col_heading level0 col4" >2018 Rank</th>        <th class="col_heading level0 col5" >2019 Rank</th>        <th class="col_heading level0 col6" >Rank Change</th>    </tr></thead><tbody>
                <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row0" class="row_heading level0 row0" >PyTorch</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col0" class="data row0 col0" >2.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col1" class="data row0 col1" >6.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col2" class="data row0 col2" >3.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col3" class="data row0 col3" >108.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col4" class="data row0 col4" >27.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col5" class="data row0 col5" >23.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow0_col6" class="data row0 col6" >4.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row1" class="row_heading level0 row1" >Keras</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col0" class="data row1 col0" >4.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col1" class="data row1 col1" >6.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col2" class="data row1 col2" >2.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col3" class="data row1 col3" >43.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col4" class="data row1 col4" >26.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col5" class="data row1 col5" >22.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow1_col6" class="data row1 col6" >4.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row2" class="row_heading level0 row2" >Azure</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col0" class="data row2 col0" >7.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col1" class="data row2 col1" >10.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col2" class="data row2 col2" >3.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col3" class="data row2 col3" >40.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col4" class="data row2 col4" >19.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col5" class="data row2 col5" >15.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow2_col6" class="data row2 col6" >4.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row3" class="row_heading level0 row3" >AWS</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col0" class="data row3 col0" >14.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col1" class="data row3 col1" >19.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col2" class="data row3 col2" >4.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col3" class="data row3 col3" >33.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col4" class="data row3 col4" >10.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col5" class="data row3 col5" >8.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow3_col6" class="data row3 col6" >2.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row4" class="row_heading level0 row4" >Git</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col0" class="data row4 col0" >4.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col1" class="data row4 col1" >5.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col2" class="data row4 col2" >1.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col3" class="data row4 col3" >25.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col4" class="data row4 col4" >25.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col5" class="data row4 col5" >25.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow4_col6" class="data row4 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row5" class="row_heading level0 row5" >Scikit-learn</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col0" class="data row5 col0" >7.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col1" class="data row5 col1" >8.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col2" class="data row5 col2" >1.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col3" class="data row5 col3" >23.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col4" class="data row5 col4" >20.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col5" class="data row5 col5" >20.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow5_col6" class="data row5 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row6" class="row_heading level0 row6" >TensorFlow</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col0" class="data row6 col0" >12.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col1" class="data row6 col1" >14.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col2" class="data row6 col2" >2.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col3" class="data row6 col3" >17.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col4" class="data row6 col4" >14.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col5" class="data row6 col5" >11.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow6_col6" class="data row6 col6" >3.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row7" class="row_heading level0 row7" >Javascript</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col0" class="data row7 col0" >5.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col1" class="data row7 col1" >5.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col2" class="data row7 col2" >0.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col3" class="data row7 col3" >8.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col4" class="data row7 col4" >23.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col5" class="data row7 col5" >24.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow7_col6" class="data row7 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row8" class="row_heading level0 row8" >Pandas</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col0" class="data row8 col0" >6.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col1" class="data row8 col1" >6.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col2" class="data row8 col2" >0.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col3" class="data row8 col3" >7.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col4" class="data row8 col4" >22.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col5" class="data row8 col5" >21.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow8_col6" class="data row8 col6" >1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row9" class="row_heading level0 row9" >NumPy</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col0" class="data row9 col0" >5.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col1" class="data row9 col1" >5.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col2" class="data row9 col2" >0.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col3" class="data row9 col3" >6.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col4" class="data row9 col4" >24.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col5" class="data row9 col5" >27.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow9_col6" class="data row9 col6" >-3.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row10" class="row_heading level0 row10" >SQL</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col0" class="data row10 col0" >51.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col1" class="data row10 col1" >54.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col2" class="data row10 col2" >3.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col3" class="data row10 col3" >5.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col4" class="data row10 col4" >3.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col5" class="data row10 col5" >3.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow10_col6" class="data row10 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row11" class="row_heading level0 row11" >Linux</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col0" class="data row11 col0" >9.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col1" class="data row11 col1" >9.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col2" class="data row11 col2" >0.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col3" class="data row11 col3" >3.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col4" class="data row11 col4" >18.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col5" class="data row11 col5" >18.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow11_col6" class="data row11 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row12" class="row_heading level0 row12" >Python</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col0" class="data row12 col0" >72.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col1" class="data row12 col1" >74.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col2" class="data row12 col2" >1.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col3" class="data row12 col3" >2.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col4" class="data row12 col4" >1.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col5" class="data row12 col5" >1.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow12_col6" class="data row12 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row13" class="row_heading level0 row13" >Tableau</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col0" class="data row13 col0" >20.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col1" class="data row13 col1" >19.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col2" class="data row13 col2" >-0.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col3" class="data row13 col3" >-0.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col4" class="data row13 col4" >8.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col5" class="data row13 col5" >7.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow13_col6" class="data row13 col6" >1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row14" class="row_heading level0 row14" >Excel</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col0" class="data row14 col0" >11.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col1" class="data row14 col1" >10.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col2" class="data row14 col2" >-0.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col3" class="data row14 col3" >-2.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col4" class="data row14 col4" >16.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col5" class="data row14 col5" >14.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow14_col6" class="data row14 col6" >2.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row15" class="row_heading level0 row15" >Spark</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col0" class="data row15 col0" >29.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col1" class="data row15 col1" >28.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col2" class="data row15 col2" >-1.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col3" class="data row15 col3" >-3.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col4" class="data row15 col4" >5.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col5" class="data row15 col5" >4.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow15_col6" class="data row15 col6" >1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row16" class="row_heading level0 row16" >Scala</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col0" class="data row16 col0" >14.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col1" class="data row16 col1" >14.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col2" class="data row16 col2" >-0.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col3" class="data row16 col3" >-3.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col4" class="data row16 col4" >11.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col5" class="data row16 col5" >12.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow16_col6" class="data row16 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row17" class="row_heading level0 row17" >NoSQL</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col0" class="data row17 col0" >9.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col1" class="data row17 col1" >9.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col2" class="data row17 col2" >-0.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col3" class="data row17 col3" >-4.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col4" class="data row17 col4" >17.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col5" class="data row17 col5" >19.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow17_col6" class="data row17 col6" >-2.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row18" class="row_heading level0 row18" >Java</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col0" class="data row18 col0" >27.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col1" class="data row18 col1" >24.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col2" class="data row18 col2" >-2.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col3" class="data row18 col3" >-9.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col4" class="data row18 col4" >6.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col5" class="data row18 col5" >6.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow18_col6" class="data row18 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row19" class="row_heading level0 row19" >C++</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col0" class="data row19 col0" >13.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col1" class="data row19 col1" >12.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col2" class="data row19 col2" >-1.3</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col3" class="data row19 col3" >-9.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col4" class="data row19 col4" >12.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col5" class="data row19 col5" >13.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow19_col6" class="data row19 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row20" class="row_heading level0 row20" >Hive</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col0" class="data row20 col0" >16.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col1" class="data row20 col1" >14.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col2" class="data row20 col2" >-1.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col3" class="data row20 col3" >-10.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col4" class="data row20 col4" >9.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col5" class="data row20 col5" >10.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow20_col6" class="data row20 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row21" class="row_heading level0 row21" >C</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col0" class="data row21 col0" >11.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col1" class="data row21 col1" >9.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col2" class="data row21 col2" >-1.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col3" class="data row21 col3" >-11.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col4" class="data row21 col4" >15.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col5" class="data row21 col5" >16.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow21_col6" class="data row21 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row22" class="row_heading level0 row22" >R</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col0" class="data row22 col0" >62.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col1" class="data row22 col1" >55.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col2" class="data row22 col2" >-6.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col3" class="data row22 col3" >-11.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col4" class="data row22 col4" >2.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col5" class="data row22 col5" >2.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow22_col6" class="data row22 col6" >0.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row23" class="row_heading level0 row23" >Hadoop</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col0" class="data row23 col0" >31.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col1" class="data row23 col1" >27.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col2" class="data row23 col2" >-3.6</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col3" class="data row23 col3" >-11.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col4" class="data row23 col4" >4.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col5" class="data row23 col5" >5.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow23_col6" class="data row23 col6" >-1.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row24" class="row_heading level0 row24" >Pig</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col0" class="data row24 col0" >6.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col1" class="data row24 col1" >5.4</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col2" class="data row24 col2" >-0.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col3" class="data row24 col3" >-13.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col4" class="data row24 col4" >21.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col5" class="data row24 col5" >26.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow24_col6" class="data row24 col6" >-5.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row25" class="row_heading level0 row25" >MATLAB</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col0" class="data row25 col0" >12.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col1" class="data row25 col1" >9.7</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col2" class="data row25 col2" >-3.2</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col3" class="data row25 col3" >-24.8</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col4" class="data row25 col4" >13.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col5" class="data row25 col5" >17.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow25_col6" class="data row25 col6" >-4.0</td>
            </tr>
            <tr>
                        <th id="T_53aa4a7a_16db_11ea_9f5c_80e65005551clevel0_row26" class="row_heading level0 row26" >SAS</th>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col0" class="data row26 col0" >24.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col1" class="data row26 col1" >17.9</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col2" class="data row26 col2" >-6.1</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col3" class="data row26 col3" >-25.5</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col4" class="data row26 col4" >7.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col5" class="data row26 col5" >9.0</td>
                        <td id="T_53aa4a7a_16db_11ea_9f5c_80e65005551crow26_col6" class="data row26 col6" >-2.0</td>
            </tr>
    </tbody></table>
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