NYPD_visualization_R.ipynb

{
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      "cell_type": "markdown",
      "metadata": {
        "id": "gDFsJtJCb3Gj"
      },
      "source": [
        "# Visualization using ggplot in the R language\n",
        "\n",
        "The most important step in this notebook is Data Wrangling to represent data in required format containing only relevant data to visualize. Most common data wrangling operations are given in Table1 below.\n",
        "\n",
        "The objective of data wrangling is to clean (pre process), structure (change to required table format), and enrichen raw data (selection, and aggregation).\n",
        "\n",
        "After wrangling, data is visualized by standard plots- bar, pie, histogram, line, and Sankey diagram to draw critical inferences.\n",
        "\n",
        "**Table1: data wrangling functions in the R language**\n",
        "\n",
        "| Function | Purpose |\n",
        "| -------- | ------- |\n",
        "| filter() | subset by row |\n",
        "| select() | subset by column |\n",
        "| arrange() | reorder rows |\n",
        "| mutate() | add or modify columns |\n",
        "| group_by() | group columns |"
      ]
    },
    {
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      "execution_count": 1,
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          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "Installing package into ‘/usr/local/lib/R/site-library’\n",
            "(as ‘lib’ is unspecified)\n",
            "\n",
            "also installing the dependencies ‘htmlwidgets’, ‘igraph’\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "install.packages('tidyverse')\n",
        "install.packages('chron')\n",
        "install.packages('dplyr')\n",
        "install.packages('lubridate')\n",
        "install.packages('fmsb')\n",
        "install.packages('networkD3')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "-oBOsL4BiaIq",
        "vscode": {
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      },
      "outputs": [],
      "source": [
        "library(tidyverse)\n",
        "library(ggplot2)\n",
        "library(chron)\n",
        "library(dplyr)\n",
        "# for time conversion to hours, minutes, and seconds\n",
        "library(lubridate)\n",
        "# for spider/radar charts\n",
        "library(fmsb)\n",
        "# for sankey diagram\n",
        "library(networkD3)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yci0_7d0yVVK"
      },
      "source": [
        "# Represent the data in wide format"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 643
        },
        "id": "EFoHlu-e9iSr",
        "outputId": "8e67b474-06aa-42d9-ba83-d44d0ea933d0",
        "vscode": {
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      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[1mRows: \u001b[22m\u001b[34m28562\u001b[39m \u001b[1mColumns: \u001b[22m\u001b[34m21\u001b[39m\n",
            "\u001b[36m──\u001b[39m \u001b[1mColumn specification\u001b[22m \u001b[36m────────────────────────────────────────────────────────\u001b[39m\n",
            "\u001b[1mDelimiter:\u001b[22m \",\"\n",
            "\u001b[31mchr\u001b[39m  (12): OCCUR_DATE, BORO, LOC_OF_OCCUR_DESC, LOC_CLASSFCTN_DESC, LOCATION...\n",
            "\u001b[32mdbl\u001b[39m   (7): INCIDENT_KEY, PRECINCT, JURISDICTION_CODE, X_COORD_CD, Y_COORD_CD...\n",
            "\u001b[33mlgl\u001b[39m   (1): STATISTICAL_MURDER_FLAG\n",
            "\u001b[34mtime\u001b[39m  (1): OCCUR_TIME\n",
            "\n",
            "\u001b[36mℹ\u001b[39m Use `spec()` to retrieve the full column specification for this data.\n",
            "\u001b[36mℹ\u001b[39m Specify the column types or set `show_col_types = FALSE` to quiet this message.\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A tibble: 6 × 21</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>INCIDENT_KEY</th><th scope=col>OCCUR_DATE</th><th scope=col>OCCUR_TIME</th><th scope=col>BORO</th><th scope=col>LOC_OF_OCCUR_DESC</th><th scope=col>PRECINCT</th><th scope=col>JURISDICTION_CODE</th><th scope=col>LOC_CLASSFCTN_DESC</th><th scope=col>LOCATION_DESC</th><th scope=col>STATISTICAL_MURDER_FLAG</th><th scope=col>⋯</th><th scope=col>PERP_SEX</th><th scope=col>PERP_RACE</th><th scope=col>VIC_AGE_GROUP</th><th scope=col>VIC_SEX</th><th scope=col>VIC_RACE</th><th scope=col>X_COORD_CD</th><th scope=col>Y_COORD_CD</th><th scope=col>Latitude</th><th scope=col>Longitude</th><th scope=col>Lon_Lat</th></tr>\n",
              "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;time&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>244608249</td><td>05/05/2022</td><td>00:10:00</td><td>MANHATTAN</td><td>INSIDE </td><td> 14</td><td>0</td><td>COMMERCIAL</td><td>VIDEO STORE              </td><td> TRUE</td><td>⋯</td><td>M     </td><td>BLACK  </td><td>25-44</td><td>M</td><td>BLACK</td><td> 986050</td><td>214231.0</td><td>40.75469</td><td>-73.99350</td><td>POINT (-73.9935 40.754692)                   </td></tr>\n",
              "\t<tr><td>247542571</td><td>07/04/2022</td><td>22:20:00</td><td>BRONX    </td><td>OUTSIDE</td><td> 48</td><td>0</td><td>STREET    </td><td>(null)                   </td><td> TRUE</td><td>⋯</td><td>(null)</td><td>(null) </td><td>18-24</td><td>M</td><td>BLACK</td><td>1016802</td><td>250581.0</td><td>40.85440</td><td>-73.88233</td><td>POINT (-73.88233 40.854402)                  </td></tr>\n",
              "\t<tr><td> 84967535</td><td>05/27/2012</td><td>19:35:00</td><td>QUEENS   </td><td>NA     </td><td>103</td><td>0</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>⋯</td><td>NA    </td><td>NA     </td><td>18-24</td><td>M</td><td>BLACK</td><td>1048632</td><td>198262.0</td><td>40.71063</td><td>-73.76777</td><td>POINT (-73.76777349199995 40.71063412500007) </td></tr>\n",
              "\t<tr><td>202853370</td><td>09/24/2019</td><td>21:00:00</td><td>BRONX    </td><td>NA     </td><td> 42</td><td>0</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>⋯</td><td>M     </td><td>UNKNOWN</td><td>25-44</td><td>M</td><td>BLACK</td><td>1014493</td><td>242565.0</td><td>40.83242</td><td>-73.89071</td><td>POINT (-73.89071440599997 40.832416753000075)</td></tr>\n",
              "\t<tr><td> 27078636</td><td>02/25/2007</td><td>21:00:00</td><td>BROOKLYN </td><td>NA     </td><td> 83</td><td>0</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>⋯</td><td>M     </td><td>BLACK  </td><td>25-44</td><td>M</td><td>BLACK</td><td>1009149</td><td>190104.7</td><td>40.68844</td><td>-73.91022</td><td>POINT (-73.91021857399994 40.68844345900004) </td></tr>\n",
              "\t<tr><td>230311078</td><td>07/01/2021</td><td>23:07:00</td><td>MANHATTAN</td><td>NA     </td><td> 23</td><td>2</td><td>NA        </td><td>MULTI DWELL - PUBLIC HOUS</td><td>FALSE</td><td>⋯</td><td>NA    </td><td>NA     </td><td>25-44</td><td>M</td><td>BLACK</td><td> 999061</td><td>229912.0</td><td>40.79773</td><td>-73.94651</td><td>POINT (-73.94650786199998 40.79772716600007) </td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A tibble: 6 × 21\n",
              "\\begin{tabular}{lllllllllllllllllllll}\n",
              " INCIDENT\\_KEY & OCCUR\\_DATE & OCCUR\\_TIME & BORO & LOC\\_OF\\_OCCUR\\_DESC & PRECINCT & JURISDICTION\\_CODE & LOC\\_CLASSFCTN\\_DESC & LOCATION\\_DESC & STATISTICAL\\_MURDER\\_FLAG & ⋯ & PERP\\_SEX & PERP\\_RACE & VIC\\_AGE\\_GROUP & VIC\\_SEX & VIC\\_RACE & X\\_COORD\\_CD & Y\\_COORD\\_CD & Latitude & Longitude & Lon\\_Lat\\\\\n",
              " <dbl> & <chr> & <time> & <chr> & <chr> & <dbl> & <dbl> & <chr> & <chr> & <lgl> & ⋯ & <chr> & <chr> & <chr> & <chr> & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <chr>\\\\\n",
              "\\hline\n",
              "\t 244608249 & 05/05/2022 & 00:10:00 & MANHATTAN & INSIDE  &  14 & 0 & COMMERCIAL & VIDEO STORE               &  TRUE & ⋯ & M      & BLACK   & 25-44 & M & BLACK &  986050 & 214231.0 & 40.75469 & -73.99350 & POINT (-73.9935 40.754692)                   \\\\\n",
              "\t 247542571 & 07/04/2022 & 22:20:00 & BRONX     & OUTSIDE &  48 & 0 & STREET     & (null)                    &  TRUE & ⋯ & (null) & (null)  & 18-24 & M & BLACK & 1016802 & 250581.0 & 40.85440 & -73.88233 & POINT (-73.88233 40.854402)                  \\\\\n",
              "\t  84967535 & 05/27/2012 & 19:35:00 & QUEENS    & NA      & 103 & 0 & NA         & NA                        & FALSE & ⋯ & NA     & NA      & 18-24 & M & BLACK & 1048632 & 198262.0 & 40.71063 & -73.76777 & POINT (-73.76777349199995 40.71063412500007) \\\\\n",
              "\t 202853370 & 09/24/2019 & 21:00:00 & BRONX     & NA      &  42 & 0 & NA         & NA                        & FALSE & ⋯ & M      & UNKNOWN & 25-44 & M & BLACK & 1014493 & 242565.0 & 40.83242 & -73.89071 & POINT (-73.89071440599997 40.832416753000075)\\\\\n",
              "\t  27078636 & 02/25/2007 & 21:00:00 & BROOKLYN  & NA      &  83 & 0 & NA         & NA                        & FALSE & ⋯ & M      & BLACK   & 25-44 & M & BLACK & 1009149 & 190104.7 & 40.68844 & -73.91022 & POINT (-73.91021857399994 40.68844345900004) \\\\\n",
              "\t 230311078 & 07/01/2021 & 23:07:00 & MANHATTAN & NA      &  23 & 2 & NA         & MULTI DWELL - PUBLIC HOUS & FALSE & ⋯ & NA     & NA      & 25-44 & M & BLACK &  999061 & 229912.0 & 40.79773 & -73.94651 & POINT (-73.94650786199998 40.79772716600007) \\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A tibble: 6 × 21\n",
              "\n",
              "| INCIDENT_KEY &lt;dbl&gt; | OCCUR_DATE &lt;chr&gt; | OCCUR_TIME &lt;time&gt; | BORO &lt;chr&gt; | LOC_OF_OCCUR_DESC &lt;chr&gt; | PRECINCT &lt;dbl&gt; | JURISDICTION_CODE &lt;dbl&gt; | LOC_CLASSFCTN_DESC &lt;chr&gt; | LOCATION_DESC &lt;chr&gt; | STATISTICAL_MURDER_FLAG &lt;lgl&gt; | ⋯ ⋯ | PERP_SEX &lt;chr&gt; | PERP_RACE &lt;chr&gt; | VIC_AGE_GROUP &lt;chr&gt; | VIC_SEX &lt;chr&gt; | VIC_RACE &lt;chr&gt; | X_COORD_CD &lt;dbl&gt; | Y_COORD_CD &lt;dbl&gt; | Latitude &lt;dbl&gt; | Longitude &lt;dbl&gt; | Lon_Lat &lt;chr&gt; |\n",
              "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
              "| 244608249 | 05/05/2022 | 00:10:00 | MANHATTAN | INSIDE  |  14 | 0 | COMMERCIAL | VIDEO STORE               |  TRUE | ⋯ | M      | BLACK   | 25-44 | M | BLACK |  986050 | 214231.0 | 40.75469 | -73.99350 | POINT (-73.9935 40.754692)                    |\n",
              "| 247542571 | 07/04/2022 | 22:20:00 | BRONX     | OUTSIDE |  48 | 0 | STREET     | (null)                    |  TRUE | ⋯ | (null) | (null)  | 18-24 | M | BLACK | 1016802 | 250581.0 | 40.85440 | -73.88233 | POINT (-73.88233 40.854402)                   |\n",
              "|  84967535 | 05/27/2012 | 19:35:00 | QUEENS    | NA      | 103 | 0 | NA         | NA                        | FALSE | ⋯ | NA     | NA      | 18-24 | M | BLACK | 1048632 | 198262.0 | 40.71063 | -73.76777 | POINT (-73.76777349199995 40.71063412500007)  |\n",
              "| 202853370 | 09/24/2019 | 21:00:00 | BRONX     | NA      |  42 | 0 | NA         | NA                        | FALSE | ⋯ | M      | UNKNOWN | 25-44 | M | BLACK | 1014493 | 242565.0 | 40.83242 | -73.89071 | POINT (-73.89071440599997 40.832416753000075) |\n",
              "|  27078636 | 02/25/2007 | 21:00:00 | BROOKLYN  | NA      |  83 | 0 | NA         | NA                        | FALSE | ⋯ | M      | BLACK   | 25-44 | M | BLACK | 1009149 | 190104.7 | 40.68844 | -73.91022 | POINT (-73.91021857399994 40.68844345900004)  |\n",
              "| 230311078 | 07/01/2021 | 23:07:00 | MANHATTAN | NA      |  23 | 2 | NA         | MULTI DWELL - PUBLIC HOUS | FALSE | ⋯ | NA     | NA      | 25-44 | M | BLACK |  999061 | 229912.0 | 40.79773 | -73.94651 | POINT (-73.94650786199998 40.79772716600007)  |\n",
              "\n"
            ],
            "text/plain": [
              "  INCIDENT_KEY OCCUR_DATE OCCUR_TIME BORO      LOC_OF_OCCUR_DESC PRECINCT\n",
              "1 244608249    05/05/2022 00:10:00   MANHATTAN INSIDE             14     \n",
              "2 247542571    07/04/2022 22:20:00   BRONX     OUTSIDE            48     \n",
              "3  84967535    05/27/2012 19:35:00   QUEENS    NA                103     \n",
              "4 202853370    09/24/2019 21:00:00   BRONX     NA                 42     \n",
              "5  27078636    02/25/2007 21:00:00   BROOKLYN  NA                 83     \n",
              "6 230311078    07/01/2021 23:07:00   MANHATTAN NA                 23     \n",
              "  JURISDICTION_CODE LOC_CLASSFCTN_DESC LOCATION_DESC            \n",
              "1 0                 COMMERCIAL         VIDEO STORE              \n",
              "2 0                 STREET             (null)                   \n",
              "3 0                 NA                 NA                       \n",
              "4 0                 NA                 NA                       \n",
              "5 0                 NA                 NA                       \n",
              "6 2                 NA                 MULTI DWELL - PUBLIC HOUS\n",
              "  STATISTICAL_MURDER_FLAG ⋯ PERP_SEX PERP_RACE VIC_AGE_GROUP VIC_SEX VIC_RACE\n",
              "1  TRUE                   ⋯ M        BLACK     25-44         M       BLACK   \n",
              "2  TRUE                   ⋯ (null)   (null)    18-24         M       BLACK   \n",
              "3 FALSE                   ⋯ NA       NA        18-24         M       BLACK   \n",
              "4 FALSE                   ⋯ M        UNKNOWN   25-44         M       BLACK   \n",
              "5 FALSE                   ⋯ M        BLACK     25-44         M       BLACK   \n",
              "6 FALSE                   ⋯ NA       NA        25-44         M       BLACK   \n",
              "  X_COORD_CD Y_COORD_CD Latitude Longitude\n",
              "1  986050    214231.0   40.75469 -73.99350\n",
              "2 1016802    250581.0   40.85440 -73.88233\n",
              "3 1048632    198262.0   40.71063 -73.76777\n",
              "4 1014493    242565.0   40.83242 -73.89071\n",
              "5 1009149    190104.7   40.68844 -73.91022\n",
              "6  999061    229912.0   40.79773 -73.94651\n",
              "  Lon_Lat                                      \n",
              "1 POINT (-73.9935 40.754692)                   \n",
              "2 POINT (-73.88233 40.854402)                  \n",
              "3 POINT (-73.76777349199995 40.71063412500007) \n",
              "4 POINT (-73.89071440599997 40.832416753000075)\n",
              "5 POINT (-73.91021857399994 40.68844345900004) \n",
              "6 POINT (-73.94650786199998 40.79772716600007) "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "data <- read_csv('/content/NYPD_Shooting.csv')\n",
        "head(data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gu1OiVwcyf4d"
      },
      "source": [
        "## Data Wrangling\n",
        "\n",
        "### Pre processing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "JN3il6D1-WDG",
        "outputId": "61787f71-40a2-432c-b82b-f89f047838c4",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A tibble: 6 × 12</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>OCCUR_DATE</th><th scope=col>OCCUR_TIME</th><th scope=col>BORO</th><th scope=col>PRECINCT</th><th scope=col>LOC_CLASSFCTN_DESC</th><th scope=col>LOCATION_DESC</th><th scope=col>STATISTICAL_MURDER_FLAG</th><th scope=col>VIC_AGE_GROUP</th><th scope=col>VIC_SEX</th><th scope=col>VIC_RACE</th><th scope=col>Latitude</th><th scope=col>Longitude</th></tr>\n",
              "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;time&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>05/05/2022</td><td>00:10:00</td><td>MANHATTAN</td><td> 14</td><td>COMMERCIAL</td><td>VIDEO STORE              </td><td> TRUE</td><td>25-44</td><td>M</td><td>BLACK</td><td>40.75469</td><td>-73.99350</td></tr>\n",
              "\t<tr><td>07/04/2022</td><td>22:20:00</td><td>BRONX    </td><td> 48</td><td>STREET    </td><td>NA                       </td><td> TRUE</td><td>18-24</td><td>M</td><td>BLACK</td><td>40.85440</td><td>-73.88233</td></tr>\n",
              "\t<tr><td>05/27/2012</td><td>19:35:00</td><td>QUEENS   </td><td>103</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>18-24</td><td>M</td><td>BLACK</td><td>40.71063</td><td>-73.76777</td></tr>\n",
              "\t<tr><td>09/24/2019</td><td>21:00:00</td><td>BRONX    </td><td> 42</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>25-44</td><td>M</td><td>BLACK</td><td>40.83242</td><td>-73.89071</td></tr>\n",
              "\t<tr><td>02/25/2007</td><td>21:00:00</td><td>BROOKLYN </td><td> 83</td><td>NA        </td><td>NA                       </td><td>FALSE</td><td>25-44</td><td>M</td><td>BLACK</td><td>40.68844</td><td>-73.91022</td></tr>\n",
              "\t<tr><td>07/01/2021</td><td>23:07:00</td><td>MANHATTAN</td><td> 23</td><td>NA        </td><td>MULTI DWELL - PUBLIC HOUS</td><td>FALSE</td><td>25-44</td><td>M</td><td>BLACK</td><td>40.79773</td><td>-73.94651</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A tibble: 6 × 12\n",
              "\\begin{tabular}{llllllllllll}\n",
              " OCCUR\\_DATE & OCCUR\\_TIME & BORO & PRECINCT & LOC\\_CLASSFCTN\\_DESC & LOCATION\\_DESC & STATISTICAL\\_MURDER\\_FLAG & VIC\\_AGE\\_GROUP & VIC\\_SEX & VIC\\_RACE & Latitude & Longitude\\\\\n",
              " <chr> & <time> & <chr> & <dbl> & <chr> & <chr> & <lgl> & <chr> & <chr> & <chr> & <dbl> & <dbl>\\\\\n",
              "\\hline\n",
              "\t 05/05/2022 & 00:10:00 & MANHATTAN &  14 & COMMERCIAL & VIDEO STORE               &  TRUE & 25-44 & M & BLACK & 40.75469 & -73.99350\\\\\n",
              "\t 07/04/2022 & 22:20:00 & BRONX     &  48 & STREET     & NA                        &  TRUE & 18-24 & M & BLACK & 40.85440 & -73.88233\\\\\n",
              "\t 05/27/2012 & 19:35:00 & QUEENS    & 103 & NA         & NA                        & FALSE & 18-24 & M & BLACK & 40.71063 & -73.76777\\\\\n",
              "\t 09/24/2019 & 21:00:00 & BRONX     &  42 & NA         & NA                        & FALSE & 25-44 & M & BLACK & 40.83242 & -73.89071\\\\\n",
              "\t 02/25/2007 & 21:00:00 & BROOKLYN  &  83 & NA         & NA                        & FALSE & 25-44 & M & BLACK & 40.68844 & -73.91022\\\\\n",
              "\t 07/01/2021 & 23:07:00 & MANHATTAN &  23 & NA         & MULTI DWELL - PUBLIC HOUS & FALSE & 25-44 & M & BLACK & 40.79773 & -73.94651\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A tibble: 6 × 12\n",
              "\n",
              "| OCCUR_DATE &lt;chr&gt; | OCCUR_TIME &lt;time&gt; | BORO &lt;chr&gt; | PRECINCT &lt;dbl&gt; | LOC_CLASSFCTN_DESC &lt;chr&gt; | LOCATION_DESC &lt;chr&gt; | STATISTICAL_MURDER_FLAG &lt;lgl&gt; | VIC_AGE_GROUP &lt;chr&gt; | VIC_SEX &lt;chr&gt; | VIC_RACE &lt;chr&gt; | Latitude &lt;dbl&gt; | Longitude &lt;dbl&gt; |\n",
              "|---|---|---|---|---|---|---|---|---|---|---|---|\n",
              "| 05/05/2022 | 00:10:00 | MANHATTAN |  14 | COMMERCIAL | VIDEO STORE               |  TRUE | 25-44 | M | BLACK | 40.75469 | -73.99350 |\n",
              "| 07/04/2022 | 22:20:00 | BRONX     |  48 | STREET     | NA                        |  TRUE | 18-24 | M | BLACK | 40.85440 | -73.88233 |\n",
              "| 05/27/2012 | 19:35:00 | QUEENS    | 103 | NA         | NA                        | FALSE | 18-24 | M | BLACK | 40.71063 | -73.76777 |\n",
              "| 09/24/2019 | 21:00:00 | BRONX     |  42 | NA         | NA                        | FALSE | 25-44 | M | BLACK | 40.83242 | -73.89071 |\n",
              "| 02/25/2007 | 21:00:00 | BROOKLYN  |  83 | NA         | NA                        | FALSE | 25-44 | M | BLACK | 40.68844 | -73.91022 |\n",
              "| 07/01/2021 | 23:07:00 | MANHATTAN |  23 | NA         | MULTI DWELL - PUBLIC HOUS | FALSE | 25-44 | M | BLACK | 40.79773 | -73.94651 |\n",
              "\n"
            ],
            "text/plain": [
              "  OCCUR_DATE OCCUR_TIME BORO      PRECINCT LOC_CLASSFCTN_DESC\n",
              "1 05/05/2022 00:10:00   MANHATTAN  14      COMMERCIAL        \n",
              "2 07/04/2022 22:20:00   BRONX      48      STREET            \n",
              "3 05/27/2012 19:35:00   QUEENS    103      NA                \n",
              "4 09/24/2019 21:00:00   BRONX      42      NA                \n",
              "5 02/25/2007 21:00:00   BROOKLYN   83      NA                \n",
              "6 07/01/2021 23:07:00   MANHATTAN  23      NA                \n",
              "  LOCATION_DESC             STATISTICAL_MURDER_FLAG VIC_AGE_GROUP VIC_SEX\n",
              "1 VIDEO STORE                TRUE                   25-44         M      \n",
              "2 NA                         TRUE                   18-24         M      \n",
              "3 NA                        FALSE                   18-24         M      \n",
              "4 NA                        FALSE                   25-44         M      \n",
              "5 NA                        FALSE                   25-44         M      \n",
              "6 MULTI DWELL - PUBLIC HOUS FALSE                   25-44         M      \n",
              "  VIC_RACE Latitude Longitude\n",
              "1 BLACK    40.75469 -73.99350\n",
              "2 BLACK    40.85440 -73.88233\n",
              "3 BLACK    40.71063 -73.76777\n",
              "4 BLACK    40.83242 -73.89071\n",
              "5 BLACK    40.68844 -73.91022\n",
              "6 BLACK    40.79773 -73.94651"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# drop columns\n",
        "data <- subset(data, select = -c(INCIDENT_KEY, JURISDICTION_CODE, LOC_OF_OCCUR_DESC, PERP_RACE, Lon_Lat, PERP_SEX, X_COORD_CD, Y_COORD_CD, PERP_AGE_GROUP))\n",
        "# replace null with NA\n",
        "data[data == '(null)'] <- NA\n",
        "head(data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bs-lG_FuysHk"
      },
      "source": [
        "### Enrichen raw data\n",
        "\n",
        "1. Replace dates with months of the year\n",
        "2. Transform the age column into a range\n",
        "3. Remove redundancy from the **LOCATION_DESC** column\n",
        "4. Update timestamps with time of the day for example, 'Morning, Afternoon, Evening, Night'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "zKbaV3vKhjH4",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [],
      "source": [
        "# replace dates with months of the year\n",
        "data$OCCUR_DATE <- months(as.Date(data$OCCUR_DATE, '%m/%d/%Y'))\n",
        "\n",
        "# transform the age column into a range\n",
        "data$VIC_AGE_GROUP <- ifelse (grepl(\"<18\", data$VIC_AGE_GROUP, fixed=TRUE)==TRUE, \"0-18\", data$VIC_AGE_GROUP)\n",
        "data$VIC_AGE_GROUP <- ifelse (grepl(\"18-24\", data$VIC_AGE_GROUP, fixed=TRUE)==TRUE, \"18-25\", data$VIC_AGE_GROUP)\n",
        "data$VIC_AGE_GROUP <- ifelse (grepl(\"25-44\", data$VIC_AGE_GROUP, fixed=TRUE)==TRUE, \"25-45\", data$VIC_AGE_GROUP)\n",
        "data$VIC_AGE_GROUP <- ifelse (grepl(\"45-64\", data$VIC_AGE_GROUP, fixed=TRUE)==TRUE, \"45-65\", data$VIC_AGE_GROUP)\n",
        "data$VIC_AGE_GROUP <- ifelse (grepl(\"65+\", data$VIC_AGE_GROUP, fixed=TRUE)==TRUE, \"65-100\", data$VIC_AGE_GROUP)\n",
        "\n",
        "# remove redundancy\n",
        "data$LOCATION_DESC <- ifelse (grepl(\"STORE\", data$LOCATION_DESC, fixed=TRUE)==TRUE, \"STORE\", data$LOCATION_DESC)\n",
        "data$LOCATION_DESC <- ifelse (grepl(\"HOUS\", data$LOCATION_DESC, fixed=TRUE)==TRUE, \"HOUSE\", data$LOCATION_DESC)\n",
        "data$LOCATION_DESC <- ifelse (grepl(\"CLUB\", data$LOCATION_DESC, fixed=TRUE)==TRUE, \"CLUB\", data$LOCATION_DESC)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "siBPPMZubqOT",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [],
      "source": [
        "# update timestamps with time of the day\n",
        "\n",
        "# convert timestamp to time object\n",
        "data <- data %>%\n",
        "  mutate(OCCUR_TIME=hms(OCCUR_TIME))\n",
        "# update range of values with time of the day\n",
        "data <- data %>%\n",
        "  mutate(\n",
        "    OCCUR_TIME = case_when(\n",
        "      OCCUR_TIME < hms(\"04:00:00\") ~ \"Midnight\",\n",
        "      OCCUR_TIME < hms(\"08:00:00\") ~ \"Early Morning\",\n",
        "      OCCUR_TIME < hms(\"12:00:00\") ~ \"Morning\",\n",
        "      OCCUR_TIME < hms(\"17:00:00\") ~ \"Afternoon\",\n",
        "      OCCUR_TIME < hms(\"21:00:00\") ~ \"Evening\",\n",
        "      TRUE ~ \"Night\"\n",
        "    )\n",
        "  )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "LZE3r9Tg4sXl",
        "outputId": "be1d50a0-9122-425f-8e24-b9203e785a1d",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [],
      "source": [
        "View(data)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EYQJ8K-pEUX9"
      },
      "source": [
        "## Plotting graphs\n",
        "\n",
        "### Region wise analysis\n",
        "\n",
        "- Bar plot depicting the number of shooting incidents in each region of New York City\n",
        "- Pie plot representing the proportion of cases in each region to identify the most targtted region of NYC"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "vwRfWdnquHSF",
        "outputId": "30f9212b-3bcd-4fe6-f818-080c6982d0c4",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 5 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>BORO</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>BRONX        </td><td> 8376</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>BROOKLYN     </td><td>11346</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>MANHATTAN    </td><td> 3762</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>QUEENS       </td><td> 4271</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>STATEN ISLAND</td><td>  807</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 5 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              "  & BORO & Freq\\\\\n",
              "  & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & BRONX         &  8376\\\\\n",
              "\t2 & BROOKLYN      & 11346\\\\\n",
              "\t3 & MANHATTAN     &  3762\\\\\n",
              "\t4 & QUEENS        &  4271\\\\\n",
              "\t5 & STATEN ISLAND &   807\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 5 × 2\n",
              "\n",
              "| <!--/--> | BORO &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 1 | BRONX         |  8376 |\n",
              "| 2 | BROOKLYN      | 11346 |\n",
              "| 3 | MANHATTAN     |  3762 |\n",
              "| 4 | QUEENS        |  4271 |\n",
              "| 5 | STATEN ISLAND |   807 |\n",
              "\n"
            ],
            "text/plain": [
              "  BORO          Freq \n",
              "1 BRONX          8376\n",
              "2 BROOKLYN      11346\n",
              "3 MANHATTAN      3762\n",
              "4 QUEENS         4271\n",
              "5 STATEN ISLAND   807"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "BORO <- subset(data, select=c(BORO))\n",
        "areas <- as.data.frame(table(BORO))\n",
        "head(areas)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "jmHdCPTcqR0p",
        "outputId": "baf5f732-b65b-44e6-80c3-5e8d1174a766",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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7BMEOuEtu3rz5/fffP/nkk61bt7a1tbW0tGzSpEmnTp3Cw8Pll4lJTAoBe/bsGTVqlLu7u1ardXR0fPjhhz/77LOysrIqn66kW1JSUufOnW1sbJydnXv16nXt2rV/ElAuXrw4ZsyYpk2b2tnZBQQEfP3115cuXZL6tGzZsubv6ocffpDe1KnVat3d3Z977jnj52VcuHBh7Nixbm5udnZ2Dz744OrVqw0Gw9GjRzt37mxlZeXl5SU9xWP37t3jx49v3bq1vb29lZWVm5vb8OHD4+LijD9Ir9d/++23vXr1cnR0lPo8++yzhw8fNu6j5DhV1FWwUzjYmoPdHcdYh9/nLSn52/snwc5g9OiTfxjsDAZDRkbGzJkzg4ODmzVrZmVl5ejo+NBDD82ZMyc3N/eOIwXuBRrDne5TA4A6kZaWJt266OfnZ9KdIgAAhXjcCYC6d/To0eTk5MzMzK5du8ovUN+5c6e04O/vX2+VAYCqEewA1L0zZ85MmTJFCOHi4uLq6hocHHzgwIG5c+dKW8eNG1ev1QGAanEqFkDdu3nz5ujRozds2FB904QJE77++uu7XxIA3A8IdgDMoqKiYvXq1V999dVff/117do1JyenwMDAiRMnymdmAQB1jmAHAACgErx5AgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqITK3xW7aNGiU6dO1XcVAAAAdcPFxUV+9XZ1Kg92J06cePHFF1u1alXfhQAAAPxTlZWVU6dOraGDyoOdEKJFixbu7u71XQUAAMA/VVFRUXMHrrEDAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEO6DurVq1ytnZWaPR/Otf/zJpa2xsbI8ePZo2bWpra+vv7z937tzS0tLqRxgyZIhGo9FoNAsWLJAbCwoKJk+e7ObmZmdn1759+/nz5+v1+rodFwDgHmdV3wUAqnLp0qVJkybFxcXVYmtUVNS8efPk1dTU1Dlz5vzxxx8JCQnG3VatWhUfH19l3+Li4p49e6alpUmraWlps2bN0ul0H3zwQe0HAwBoaJixA+rS888/HxcXN2DAgODgYJO2ZmZmRkdHCyFGjx6dnZ199uzZRx55RAiRmJh4/vx5uVtOTs60adM8PDycnJyMd4+Ojk5LS7O1tY2Pj798+fLYsWOFEIsXL9bpdHU+RgDAPYtgB9QlJyenlStXbtmypUWLFiZt1Wg0X3zxxdKlSz/99FN3d3cvL68xY8ZImy5fvix3e+mll4qKihYuXHjz5k250WAwrFq1SggRHh4+aNAgZ2fnhQsXxsXFHT58uHHjxnU/SADAvYpTsUBdio2N1Wq1tdjq4+MzefJkaVmv16enp3/55ZdCiPbt2/v7+0vta9eu3bRp07Bhw0aOHDlhwgR534yMjNzcXCHEgAEDpBZXV9fBgwfXxYAAAA0JM3ZAXaoh1d1xq2TDhg2Wlpbt2rU7duzY+PHjt2/fbmVlJYTIy8ubOnWqo6PjF198UWWXzMxMaUGv1w8dOtTBwcHJyWncuHF5eXm1HQcAoEFixg64R12/fj0jIyMrK6tVq1ZCiJdffrmgoGDFihVubm5Vel69elVaGD9+/LVr16ytrXU6XWxs7KFDhw4dOqQkTQIA1IEZO+DeMmLECJ1Od+jQoX79+qWkpISFhWVmZv74448bNmzo16/fCy+8UH0XObp17tw5Ly+vpKRk7ty5Qojjx4+vXbv2rlYPAKhXBDvgHqLX6y0tLZs0aRIQELB06VIhRFlZ2bp161asWCGE+PPPPz3+4/r160KI999/38PDQ37W3fPPP+/o6KjRaKZPn67RaIQQR48erb/RAADuNoIdcE9Yvnx5y5YttVptRkaG1GJraystFBUVGQwGaeHCf0gtOp3uwoUL7dq1kzrn5ORIu5SXl0sd5IMAAO4HBDvgntCpU6fc3Fy9Xj9p0qQTJ05kZma+/vrr0qbg4OCEhATD39nb2wshPvroI4PB0KlTpxEjRgghFi1atHfvXp1ON2vWLGnfXr161deIAAB3HzdPAHUpNDQ0PT1dCFFYWCiESEtL8/DwEEKEhYXFxMTUvHXMmDFr1qxJSkrq2LGjfMCgoKAnnnjijp87f/787du35+bmhoSEyI1hYWEDBw6s4xECAO5hzNgBdSknJ0c6VXrjxg0hRGVlpbSan59/x60xMTGLFy8ODAy0s7Oztrb28/ObOXPmjh07pMed1MzLy2vPnj1jxoxxcXHRarVt2rSJioqKj4+XrrQDANwnNNKFOGoVHh4eFRXl6elZ34UAAAD8UxUVFU899dTPP/98uw7M2AEAAKgE19hBVU6ePLlu3br6rgL/Z9CgQV27dq3vKgDgPkKwg6qcPHny3Xffre8q8H9cXFwIdgBwNxHsoEK9+4hu3eq7iPtbaqqIj6vvIgDg/kOwgwq1bCk6d6nvIu5vV67UdwUAcF/i5gkAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVMG+wS01NHTZsmKurq4ODw+OPP56RkVG9T0FBwahRo9zc3Jo1azZ48ODMzMzatQMAANznrMx36MLCwr59++bm5oaFhVVUVMTFxZ08efL48ePW1tbG3caNG5eQkBASEmJvb7958+ahQ4ceOXLEwsLC1HbzDQQAAKBBMGOwS0hIyM3NfeSRRxISEoQQffr0SU5OTkxMfPzxx+U+WVlZCQkJrVu33rVrl4WFRe/evVNSUpKTk318fExqDw0NNd9AAAAAGgQzTnTl5+cLIXx9faXVoKAgIcS+ffuM+xw8eFAIERwcLE25hYSECCH2799varv5RgEAANBQmHHGzt/fXwgRHx+fkZGh0Wji4uKEEAUFBcZ9CgsLhRBOTk7SqrRQUFDg6OhoUrt8wAMHDnz66afmGxQAAMA9y4zBrn///gMHDtyyZcsDDzwghGjbtq0Qwsqqpk80GAxCCI1GU+v2K1eunDhxQl718/P7J0MAAABoQMwY7DQazebNmzdu3Hjq1KmgoKB9+/a9/fbb7u7uxn2aN28uhCguLpZWdTqd1Ghqu3zAsLCwAwcOyKvh4eHmGh4AAMA9xozBLj8/f/369VZWVm+99VZlZeXMmTOFEL179xZC7Nu3T6/XBwUFBQcHazSaAwcOVFZWWllZ7dq1SwgREhLi5eVlUrv5RgEAANBQmDHYNWrUaM6cOYWFhb/++mtOTs6RI0f69u3bo0cPIUTv3r3LysouXbrk6ek5bNiwTZs29enTx97e/o8//ggKCurRo4dGozGp3XyjAAAAaCjMGOzs7e3j4uIiIiK2b99ua2s7YcKEhQsXGneQ7mxduXKlvb19UlJSZWXliBEjPvvsM+maOVPbAQAA7nNmDHZCiJCQkN27d1dvP3XqVOvWreVbXGNjY6v3MbUdAADgPlc/L2zYtGlTYGCgjY1NvXw6AACAKtVPsLO0tFy0aFG9fDQAAIBamfdU7O28/PLL9fK5AAAAKlY/M3YAAACocwQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgS7hkSv169cuTIkJMTFxcXW1tbPz2/69OnFxcVyh9jY2B49ejRt2tTW1tbf33/u3LmlpaVCiAMHDmhuY8mSJdK+BQUFkydPdnNzs7Oza9++/fz58/V6ff2MEwAA1Er9vFIMtfP222/PmzdPCOHu7t6sWbNTp04tXLhw586de/futbS0jIqKkrZKUlNT58yZ88cffyQkJNzxyMXFxT179kxLS5NW09LSZs2apdPpPvjgAzONBQAA1Dlm7BqM0tLSjz76SAjx6KOPnj17Ni0tLTIyUghx8ODBP//8MzMzMzo6WggxevTo7Ozss2fPPvLII0KIxMTE8+fPBwQEXPq7+Ph4jUaj1Wr79+8vhIiOjk5LS7O1tY2Pj798+fLYsWOFEIsXL9bpdPU5ZgAAYApm7BqMa9eulZeXCyF69eplaWkphAgLC5Om6C5dutS8efMvvvhCCPHEE0+4uroKIcaMGZOYmCiEuHz5sqenZ8uWLeVDVVZWRkZGGgyGiIiI9u3bGwyGVatWCSHCw8MHDRokhFi4cOHo0aP9/PwaN25cD0MFAAC1QrBrMFxcXDp37nz06NGdO3fOnDnT0tLyt99+E0I0atQoJCTE1dV18uTJUk+9Xp+env7ll18KIdq3b+/v71/lUAsWLDh8+LCbm9vs2bOFEBkZGbm5uUKIAQMGSB1cXV0HDx5814YGAADqBKdiG5Lvv/++S5cuW7dudXd3b9OmzXvvvefh4bF+/Xppik6yYcMGS0vLdu3aHTt2bPz48du3b7ey+lt8z83Nleb5IiMjHRwchBCZmZnSJr1eP3ToUAcHBycnp3HjxuXl5d3FwQEAgH+KYNeQODg4dOzY0dLSMjc398yZM0IIT09PrVZ7y87Xr1/PyMjIysqq0v7OO+9cvXrV09Nz4sSJUsvVq1elhfHjxycmJmo0Gp1OFxsb27dv34qKCnMNBgAA1DWCXYNx48aN0NDQtWvX9u7d++zZswUFBa+99tru3bsfe+yxQ4cOyd1GjBih0+kOHTrUr1+/lJSUsLAweUJOCJGdnb1ixQohREREhLW1tdQoR8POnTvn5eWVlJTMnTtXCHH8+PG1a9fevRECAIB/hmDXYCQlJUmzdJGRkV5eXs2aNYuOjra0tNTr9bGxsVIfvV5vaWnZpEmTgICApUuXCiHKysrWrVsnH2TNmjWVlZUajWbkyJFyY4sWLaSF559/3tHRUaPRTJ8+XaPRCCGOHj161wYIAAD+IYJdg3Hp0iVpwcbGRlrQarVS/MrLy1u+fHnLli21Wm1GRoa01dbWVlooKiqSD7J69WohRPfu3d3d3eVGf39/qXNOTo7UUl5ebjAYjA8CAADufQS7BqNz587SwnfffSelLi67U2MAACAASURBVGn6TQgRGBjYqVOn3NxcvV4/adKkEydOZGZmvv7661L/4OBgaSEnJ0eagQsLCzM+sp2d3YgRI4QQixYt2rt3r06nmzVrlrSpV69ed2NsAACgLvC4kwaja9euTz755I8//rhixYpff/21cePG0pnZBx54YOLEiU2aNBkzZsyaNWuSkpI6duwo7xUUFPTEE09Iy6mpqdJChw4dqhx8/vz527dvz83NDQkJkRvDwsIGDhxo3lEBAIC6w4xdQ7Ju3bqPP/44MDDwypUr586da9269dSpU/fs2dOkSRMhRExMzOLFiwMDA+3s7Kytrf38/GbOnLljxw75cSeFhYXSgrOzc5Uje3l57dmzZ8yYMS4uLlqttk2bNlFRUdLbKe7mAAEAwD/BjF1DYmVlFRERERERccutFhYWU6ZMmTJlyu12f/rpp6VzuLfk4+MjXYEHAAAaKGbsAAAAVIIZu5osXrz44sWL9V0FhBDC3t5eegEaAAC4HYJdTb755psjR47UdxUQQohmzZoR7AAAqBnB7g60FhbxI4fXdxX3u/FxieX1XQMAAPc+gt0dWGg0vb3c79wP5mRnZUWwAwDgjrh5AgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlbBS3rWkpKRJkyZCiOLi4l9++UUIMXToUCcnJ3OVBgAAAFMoCnbl5eVjx44tKyv7+eefc3Nze/Xqdfr0aSGEh4fHvn37WrVqZeYiAQAAcGeKTsVGR0f/8MMP2dnZQogFCxZIqc7e3j47O3vevHnmLRAAAADKKAp269ata9y48cqVK4UQGzZsEEJ8+eWXOTk5rq6uO3fuNGt9AAAAUEhRsDt37ly3bt06d+584cKFrKwsS0vLUaNGOTg4BAYGnj171twlAgAAQAlFwc7GxqasrEwIkZycLITo0KGDdBeFXq/XaDRmrQ8AAAAKKbp5wtfXd9++fYsWLfrmm2+EEH379hVCZGVl7d2718PDw7wFAgAAQBlFM3YTJkwoKyuLiIg4duyYRqOZOHGiEKJ///4lJSXDhw83c4UAAABQRNGM3UsvvXTx4sWvvvrKxsZm3rx5nTp1EkJ4e3s3a9bsrbfeMnOFAAAAUERRsLOwsJg3b16VJ5ssX778gQce4Bo7AACAe4QJb564fPnyzp07z54927Zt2yFDhpSXlxsMBoIdAADAPULpu2LnzZvn7u7+5JNPvvbaa9u2bRNCREZGPvbYY6WlpeYsDwAAAEopCnbLli2Lioq6ceOGvb293FhYWLhly5aPP/7YbLUBAADABIqC3ZIlS+zs7H799dcrV67IjStWrHBwcJBeRwEAAIB6pyjYpaenDx48eMiQIcZX1Pn5+T344IPnzp0zW20AAAAwgaJg17x588zMTIPBYNxYUlKSmprq4OBgnsIAAABgGkXBLiAg4ODBg6GhoQsXLhRCpKamzp8/v3v37gUFBd27dzdzhQAAAFBE0eNOIiMjExISkpOTpXfFbt26devWrUIIrVY7e/Zs8xYIAAAAZRTN2IWEhCQkJHTo0MG4sVOnTomJiSEhIeYpDAAAAKZR+oDifv36paamZmRknD9/Xgjh4+Pj7e1tzsIAAABgGhPePFFSUuLr6+vr61tcXPzLL78IIYYOHerk5GS22gAAAGACRcGuvLx87NixZWVlP//8c25ubq9evU6fPi2E8PDw2LdvX6tWrcxcJAAAAO5M0TV20dHRP/zwQ3Z2thBiwYIFUqqzt7fPzs6eN2+eeQsEAACAMoqC3bp16xo3biy9ZGLDhg1CiC+//DInJ8fV1XXnzp1mrQ8AAAAKKQp2586d69atW+fOnS9cuJCVlWVpaTlq1CgHB4fAwMCzZ8+au0QAAAAooSjY2djYlJWVCSGk59h16NChSZMmQgi9Xm/8kjEAAADUI0U3T/j6+u7bt2/RokXffPONEKJv375CiKysrL1793p4eJi3QAAAACijaMZuwoQJZWVlERERx44d02g0EydOFEL079+/pKRk+PDhZq4QAAAAiiiasXvppZcuXrz41Vdf2djYzJs3r1OnTkIIb2/vZs2avfXWW2auEAAAAIooCnYWFhbz5s2r8mST5cuXFxYWHj16tEePHuapDQAAACYw4c0TVfj4+LzwwgunT5++ePFiHRYEAACA2lEa7L777ruPPvro/PnzN2/elFrKysoqKysbNWpkttoAAABgAkXBLiYm5vnnn7/lptu1AwAA4C5TdFfsokWLhBB9+/adMGGCEGLYsGHDhg3TarWvv/76559/bt4CAQAAoIyiGbtTp0716tUrKSkpJyfnm2++mTx58qOPPnr48OGePXv6+/v/z//8j7mrBAAAwB0pmrG7efOmVqsVQlhYWAghdDqdECIgIKBPnz4ffvihWesDAACAQopm7P71r39t37593LhxK1eutLCw+OSTTzw9Pa9fv/7nn39KIQ8AAAD1TtGM3auvviqESElJsbKyCgkJ2bt378MPPzxgwICcnJy2bduauUIAAAAooijYPfvss5988ombm5sQ4sMPP2zSpInUbm1t/f7775uxOgAAACim9Dl206ZNmzZtmhCiZ8+eR44c2bx5s1arDQsLa9OmjTnLAwAAgFKKZuyEEDdv3vz111/T0tKEED4+Pm3btm3cuLGvr685awMAAIAJFAW769evDx48eOjQoadPn5ZaDh48+MwzzwwePLiiosKc5QEAAEApRcFu4cKFiYmJQgiNRiO12NraCiESEhI+/fRT8xUHAAAA5RQFu++//97Kyio+Pn7w4MFSy7Rp0xITEy0tLb/88ktzlgcAAAClFAW7M2fOBAQEDBo0yLhx4MCBXbp0ycrKqmHHioqKmTNnurm52dnZde3a9ffff6/ep6CgYNSoUW5ubs2aNRs8eHBmZmbt2gEAAO5zioKdvb39mTNnioqKjBvz8vLS09MbN25cw45Tp07997//7eDgMGDAgIMHDw4aNKjKQYQQ48aNW79+vbe3d2Bg4ObNm4cOHarX62vRDgAAcJ9T9LiT3r17b9y4MSgo6JlnnvHx8dHr9RkZGatXry4pKRk+fPjt9srLy/vqq69atmx54MCBJk2abNy48caNG5WVlcZ9srKyEhISWrduvWvXLgsLi969e6ekpCQnJ/v4+JjUHhoa+g+/CAAAgIZOUbB75513EhISMjMzo6OjjdttbW3ffvvt2+2VkpJy8+bNQYMGnThxIikpycPD46mnnmrUqJFxn4MHDwohgoODpbfQhoSEpKSk7N+/v7Cw0KR2OdiVlpZevnxZPj6TeQAA4P6hKNh17tx5x44dU6dO3bdvn9zYpUuXJUuWBAYG3m6v7OxsIcT+/fu/++67mzdvCiHmz5+/f/9+e3t7uY8U1JycnKRVaaGgoMDR0dGkdvmAe/bsmTFjhrzq5+enZIAAAAAqoPTNE926ddu7d++FCxfS09MNBkPr1q29vb1r3kU663rp0qUjR464uLiMGDFi9+7d33zzzZQpU263i8FgEEYPValFu7u7+xNPPCGvnjp1SsnoAAAAVEBpsJO4u7u7u7sr7Ozi4iKE6NGjh7+/vxBi9OjRu3fvPnnypHGf5s2bCyGKi4ulVZ1OJzWa2i4f0M/P76233pJXw8PDTRogAABAw2VasDNJSEiIEOLo0aPl5eXW1tbp6elCiFatWgkh9u3bp9frg4KCgoODNRrNgQMHKisrraysdu3aJe3o5eVlUrv5RgEAANBQmDHYtWvXbtiwYT///HO3bt18fX03bdpka2s7ZswYIUTv3r3LysouXbrk6ek5bNiwTZs29enTx97e/o8//ggKCurRo4dGozGp3XyjAAAAaCjMGOyEELGxsTNmzNiwYcOZM2d69OgRHR3t6+srb5XubF25cqW9vX1SUlJlZeWIESM+++wz6Zo5U9sBAADuc+YNdg4ODkuXLl26dGmV9lOnTrVu3Vq+xTU2Nrb6vqa2AwAA3OcUvXmizm3atCkwMNDGxqZePh0AAECVapqxk25rrYHBYCgrK7t69aqpn2ppablo0SJT9wIAAEANagp20tODzeHll18205EBAADuWzUFO+OHwKWkpJw+fTo0NLRNmzZ6vf748eO7du0KCQnp37+/+YsEAADAndUU7JYtWyYtxMTExMTE7N69OygoSN6amJg4dOjQmTNnmrdAAAAAKKPo5on333//oYceMk51QohHHnmkQ4cO7777rnkKAwAAgGkUPe4kKytLp9MVFRU5OzvLjTk5ORkZGRUVFWarDQAAACZQFOy8vb1Pnz4dGBg4evRob29vvV6fkZGxdu3aK1eueHh4mLtEAAAAKKEo2M2YMWPSpElnz5798MMPq2x69dVXzVAVAAAATKboGrsXX3wxJiamU6dOxo1eXl5Lly6dPn26eQoDAACAaZS+Umzs2LFjx47Nzc3Nzs4WQrRq1crNzc2chQEAAMA0JrxS7PLly7t27UpOTr506ZKbm1tqaqperzdfZQAAADCJ0mA3b948d3f3J5988rXXXtu2bZsQIjIy8rHHHistLTVneQAAAFBKUbBbtmxZVFTUjRs37O3t5cbCwsItW7Z8/PHHZqsNAAAAJlAU7JYsWWJnZ/frr79euXJFblyxYoWDg8PKlSvNVhsAAABMoCjYpaenDx48eMiQIRqNRm708/N78MEHz507Z7baAAAAYAJFwa558+aZmZkGg8G4saSkJDU11cHBwTyFAQAAwDSKgl1AQMDBgwdDQ0MXLlwohEhNTZ0/f3737t0LCgq6d+9u5goBAACgiKLn2EVGRiYkJCQnJycnJwshtm7dunXrViGEVqudPXu2eQsEAACAMopm7EJCQhISEjp06GDc2KlTp8TExJCQEPMUBgAAANMoffNEv379UlNTMzIyzp8/L4Tw8fHx9vY2Z2EAAAAwjaJg17Nnz4ceeuiTTz7x9fX19fWV2x9//HELC4uff/7ZbOUBAABAKUXBbteuXba2tlUai4qKDh8+rNPpzFAVAAAATFbTNXbz5893cnJycnISQvz2229Of+fi4pKdnV3lGSgAAACoLzXN2Hl4eGg0muLiYiFEZWXlLSfnBg8ebK7SAAAAYIqagt3YsWNHjRq1c+fOgQMHenl5Pf3003/b08rKz8/v2WefNXOFAAAAUOQO19hptdoBAwZ069ata9euCxYsuDs1AQAAoBYUPcfu+vXrmzdvPnbsmLmrAQAAQK0puiu2qKgoOzu7tLTU3NUAAACg1hTN2K1YscLNze3tt9/Ozc01d0EAAACoHUUzdjExMQEBAdu3b/fw8PDy8nJ2djbeeuDAAfPUBgAAABMoCnarV6+WlzMyMsxWDAAAAGpP6SvFbGxsrKyUvlgWAAAAd5+irJaSkmLuOgAAAPAPmTAJd+XKlaSkpDNnzlhYWLRr165v377VXyALAACA+qI02K1cufLVV1+9cuWK3NKiRYtvv/320UcfNU9hAAAAMI2ix50kJSW98MILxqlOCJGbmzt8+PBDhw6ZpzAAAACYRlGwW7BggcFg6Nat27p16/bv3793795Vq1YFBASUlZVFR0ebu0QAAAAooehU7L59+5o2bbpt2zYHBweppWvXrkOGDGndunVycrI5ywMAAIBSimbsrly54uPjI6c6ibOz8wMPPFBUVGSewgAAAGAaRcHO1dU1NTW1yqOJz5w5c+LEiRYtWpinMAAAAJhG0anYRx555JtvvgkJCXnuuefatm2r1+tPnjwZGxtbWlrKXbEAAAD3CEXBLioqauPGjfn5+QsXLjRub9asWVRUlHkKAwAAgGkUnYpt3br1b7/99vDDDxs3hoaG/v77797e3uYpDAAAAKZR+oDiTp06/f777xcvXjx9+rQQol27di1btjRnYQAAADCNCa8UKy4u/uuvv7KzszUaTXl5uY2NjbOzs/kqAwAAgEkUBbsbN25Mnz79m2++KS0tlRu1Wu3UqVPnz59vZWVCOgQAAICZKLrG7o033vj888+NU50QoqKiYuHChe+99555CgMAAIBpFAW7NWvWCCGGDx/+008/7d+///fff1+5cuVDDz0khFixYoV5CwQAAIAyis6iXr9+vU+fPhs3bpRbHn744VGjRnl7e1++fNlstQEAAMAEioJd586dPT09qzTa2dm1aNHCz8/PDFUBAADAZIpOxUZHR8fFxf34448Gg0FquXnz5qJFiy5evPjpp5+aszwAAAAopWjG7uOPP27cuPFTTz3VokULb29vvV6fnp5eXFzcrl27V155paKiQu554MABs5UKAACAmigKdvHx8dJCbm5ubm6u3J6WlmaWogAAAGA6RcHu4YcftrGx0Wq15q4GAAAAtaYo2P3+++/mrgMAAAD/kAkvjbh8+fLOnTvPnj3btm3bIUOGpKamtm/f3sJC0e0XAAAAMDelsWzevHnu7u5PPvnka6+9tm3bNiFEZGTkY489VuV1FAAAAKgvioLdsmXLoqKibty4YW9vLzcWFhZu2bLl448/NlttAAAAMIGiYLdkyRI7O7tff/31ypUrcuOKFSscHBxWrlxpttoAAABgAkXBLj09ffDgwUOGDNFoNHKjn5/fgw8+eO7cObPVBgAAABMoCnbNmzfPzMyUXzshKSkpSU1NdXBwME9hAAAAMI2iYBcQEHDw4MHQ0NCFCxcKIVJTU+fPn9+9e/eCgoLu3bubuUIAAAAoouhxJ5GRkQkJCcnJycnJyUKIrVu3bt26VQih1Wpnz55t3gIBAACgjKIZu5CQkISEhA4dOhg3durUKTExMSQkxDyFAQAAwDRKH1Dcr1+/1NTUjIyM8+fPCyF8fHy8vb3NWRgAAABMc+cZu9LS0j///DMjI8NgMPj6+vbp06dPnz5Sqrt27dqMGTPMXyQAAADu7A7BbtGiRc2bNw8KCnrggQc6dOiQkpIib4qPj/f391+wYIGZKwQAAIAiNZ2K3bx5c0REhLyalpY2ZMiQY8eOabXaV1999YcffjB/eQAAAFCqpmC3ePFiIYSjo+Mrr7xiMBiWL19eWFg4bty4I0eO6HQ6IUSzZs3ef//9u1QpAAAAalRTsNu/f78QYtmyZaNHjxZC9O7d+9FHH5WeeGJhYfHiiy9GR0c3bdr07hQKAACAmtUU7IqKioQQ8gNNevfuLS107959yZIlDz74oLmLAwAAgHI13TwhvUPM1tZWWrWzs5MWfvnlF1IdAOAeJL3WXKPRGN/b98MPP/To0cPBwcHJySkwMPC9994rKysTQhw4cEBzG0uWLJF3X7VqlbOzs0aj+de//lUPQwJMofQ5dgAA3ONWrVoVHx9fpTEmJua5556TVw8fPnz48OG//vrr+++/v+MBL126NGnSpLi4uDouFDAbRW+eAADgHpeTkzNt2jQPDw8nJye5Ua/Xv/baa0KIgICAU6dOXbhwYciQIUKI9evXZ2RkBAQEXPq7+Ph4jUaj1Wr79+8vhHj++efj4uIGDBgQHBxcX+MCTHLnGbvu3btbWloat3Tt2tXC4r+JMD09ve7rAgDAFC+99FJRUdGyZcsmTpwoN164cCEoKEgIMW3atLZt2wohXnzxRWkG7syZM76+vi1btpQ7V1ZWRkZGGgyGiIiI9u3bCyGcnJxWrlz5/PPPS3EQuPfdOdhlZWVVacnMzDRLLQAA1MratWs3bdo0bNiwkSNHTpgwQW739PRMSEgw7pmamiotuLu7VznIggULDh8+7ObmNnv2bKklNjZWq9Was3CgjtUU7Lp163bX6gAAoHby8vKmTp3q6Oj4xRdf1Nxz7969c+fOFUKEhoZ27NjReFNubu68efOEEJGRkQ4ODlIjqQ4NTk3Bbs+ePXetDgAAaufll18uKChYsWKFm5tbDd22bdv25JNPlpaWuri4fP3111W2vvPOO1evXvX09DQ+kws0ONw8AQBowH788ccNGzb069fvhRdeqKFbTEzMoEGDSkpKPDw8kpOTfX19jbdmZ2evWLFCCBEREWFtbW3eigFzItgBABowKZD9+eefHv9x/fp1IcT777/v4eEhXSb+9ddfP/fccxUVFSEhIfv37+/QoUOVg6xZs6ayslKj0YwcOfKujwCoSzzHDgDQgEnP0i8qKpLeliTT6XQ6na6ysnLLli3h4eFCiKFDh65bt05+2L6x1atXCyG6d+9e/Y4KoGFhxg4A0IAlJCQY/s7e3l4I8dFHHxkMBnd39/Dw8Js3b/r4+CxevFin0+X8x9WrV6Uj5OTkHD16VAgRFhZWnyMB6gLBDgCgWr/88ot0NjYrK8vHx6eVEfmdY/IDUKqfog0NDZVO7yYlJQkh0tLSpNVx48bdvTEApuBULABAtSoqKu7Yp7CwUFpwdnausiknJ+fChQvyamVlpbSan59fdzUCdYlgBwBQFfkcqxBi7NixY8eOrbn/008/LV2oV93JkyfrsjLA/DgVCwAAoBLM2AEATJOXl3fw4MH6rgL/p2PHjt7e3vVdBe4VBDsAgGn27NkzbNiw+q4C/+fTTz+dOnVqfVeBewXBDgBQK53DRMce9V3E/e3scbF7U30XgXsLwQ4AUCud+4in3qjvIu5vyd8T7FAFN08AAACoBMEOAABAJQh2AAAAKkGwAwAAUAmCHQAAgEoQ7AAAAFSCYAcAAKASBDsAAACVINgBAACoBMEOAKqKjY3t0aNH06ZNbW1t/f39586dW1paKoQ4cOCA5jaWLFki7VtQUDB58mQ3Nzc7O7v27dvPnz9fr9fLR/7hhx969Ojh4ODg5OQUGBj43nvvlZWV1c8gAagRrxQDgL+JioqaN2+evJqamjpnzpw//vgjISHhjvsWFxf37NkzLS1NWk1LS5s1a5ZOp/vggw+EEDExMc8995zc+fDhw4cPH/7rr7++//77uh4EgPsUM3YA8F+ZmZnR0dFCiNGjR2dnZ589e/aRRx4RQiQmJp4/fz4gIODS38XHx2s0Gq1W279/fyFEdHR0Wlqara1tfHz85cuXx44dK4RYvHixTqfT6/WvvfaaECIgIODUqVMXLlwYMmSIEGL9+vUZGRn1OWYAKsKMHQD8l0aj+eKLL4QQTzzxhKurqxBizJgxiYmJQojLly97enq2bNlS7lxZWRkZGWkwGCIiItq3b28wGFatWiWECA8PHzRokBBi4cKFo0eP9vPza9y48YULF4KCgoQQ06ZNa9u2rRDixRdfjIuLE0KcOXPG19e3HkYLQHUIdgDwXz4+PpMnT5aW9Xp9enr6l19+KYRo3769v79/lc4LFiw4fPiwm5vb7NmzhRAZGRm5ublCiAEDBkgdXF1dBw8eLC17enpWOZmbmpoqLbi7u5trPADuM5yKBYBb2LBhg6WlZbt27Y4dOzZ+/Pjt27dbWf3tv4Rzc3OlS/EiIyMdHByEEJmZmdImvV4/dOhQ6Q6JcePG5eXlVT/+3r17586dK4QIDQ3t2LGj2ccD4P5AsAOAmly/fj0jIyMrK6tK+zvvvHP16lVPT8+JEydKLVevXpUWxo8fn5iYqNFodDpdbGxs3759KyoqjPfdtm3bwIEDS0tLXVxcvv76a/MPAsD9gmAHALcwYsQInU536NChfv36paSkhIWFyRNyQojs7OwVK1YIISIiIqytraVGrVYrLXTu3DkvL6+kpESakzt+/PjatWvlfWNiYgYNGlRSUuLh4ZGcnMzVdQDqEMEOAKrS6/WWlpZNmjQJCAhYunSpEKKsrGzdunVyhzVr1lRWVmo0mpEjR8qNLVq0kBaef/55R0dHjUYzffp0jUYjhDh69Ki06euvv37uuecqKipCQkL279/foUOHuzcqAPcBgh0A/Nfy5ctbtmyp1WrlR5DY2tpKC0VFRXK31atXCyG6d+9ufN+Dv7+/1DknJ0dqKS8vNxgM8kG2bNkSHh4uhBg6dOj27duNb7AFgDpBsAOA/+rUqVNubq5er580adKJEycyMzNff/11aVNwcLC0kJOTI83AhYWFGe9rZ2c3YsQIIcSiRYv27t2r0+lmzZolberVq1dpaWl4ePjNmzd9fHykJ9vl/Id8cR4A/EM87gQA/qtHjx5jxoxZs2ZNUlKS8c2qQUFBTzzxhLQsP6ak+onU+fPnb9++PTc3NyQkRG4MCwsbOHDg+vXrpTswsrKyfHx8jPeaM2fOO++8U+djAXAfYsYOAP4mJiZm8eLFgYGBdnZ21tbWfn5+M2fO3LFjh/y4k8LCQmnB2dm5yr5eXl579uwZM2aMi4uLVqtt06ZNVFSU9HaKKjfGAoA5MGMHAH9jYWExZcqUKVOm3K7D008/LV05d0s+Pj7SFXhVjB07VnrDGACYDzN2VlidLQAAIABJREFUAAAAKsGMHYB6tnnz5suXL9d3FRBCCBsbm6effrq+qwBQewQ7APUsMjLy8OHD9V0FhBCiadOmBDugQSPYAbgHWFqIlwfWdxH3vVXJ9V0BgH+KYAfgHqDRiBEP1XcR970f94nS+q4BwD/DzRMAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCfMGu8OHDw8aNKhp06bOzs69e/fesWNH9T4FBQWjRo1yc3Nr1qzZ4MGDMzMza9cOAABwnzNjsMvJyenXr19CQkK3bt2CgoJSUlKGDBly/vz5Kt3GjRu3fv16b2/vwMDAzZs3Dx06VK/X16IdAADgPmdlvkP/9ddfDz30UGho6JtvvimE6N27d0pKyv79+z09PeU+WVlZCQkJrVu33rVrl4WFhdQnOTnZx8fHpPbQ0FDzDQQAAKBBMOOMXf/+/RMSEt58802DwZCamnrmzBkbG5ugoCDjPgcPHhRCBAcHW1hYCCFCQkKEEPv37ze13XyjAAAAaCjMOGMnKS4udnZ2FkI8+OCDGzZs8Pb2Nt5aWFgohHBycpJWpYWCggJHR0eT2uUDZmRkxMfHy6v/v707D4iq3P84/j3DLqAsbmgGaOKSy9XQMAVN8SqRkOZVf2a4pEHpNTW73nIJLa3cM29aenOvcMG1MlNT3HLDjSwFQ8okXECUTQXm98f5Nb8JFAcYmOH4fv01nPPMc57nOefMfDjb3L59u4L6BQAAYG0qPNjZ29sPHDjwwoULhw8fHjdu3LZt2zw9Pe9XWK/Xi4iiKGWenpKSsmLFCsOffn5+5e4BAABA1VDhwc7JyWnNmjUi8vLLLy9ZsmTBggVTp041zK1Vq5aI3LhxQ/0zMzNTnVja6YYKW7du/fHHHxv+/OSTTyquawAAAFalAq+xe/fdd6tVqzZy5Ej1T3t7exHJyckRkSNHjvzwww9379719/dXFOXYsWP5+fkicuDAAREJCAgo7XTDQj08PNobsbWt8OQKAABgJSow9/Tu3fvdd99dtGjRjz/+aGdnt3v3bp1O99xzz4lIUFDQ7du3U1NTGzRoEB4evmnTps6dOzs7Ox88ePCJJ5546qmnFEUp1fSK6wUAAEBVUYHB7vHHH9+1a9ebb7559OhROzu79u3bv/nmmx07djQUUO9sXbZsmbOz865du/Lz83v37v3RRx+p18yVdjoAAMBDrmLPVHbs2DEuLq749PPnz/v6+hpucV29enXxMqWdDgAA8JCzzG/Fbtq0qU2bNg4ODhZZOgAAgCZZJtjZ2NjMnz/fIosGAADQKsvcNGq4VRYAAADmYpkjdgAAADA7gh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAwMIKCwuXLVsWEBBQs2ZNR0dHPz+/8ePH37hxw1Dg+PHjzzzzjJubm5OTU/v27Tdu3KhOP3bsmHIfCxcutFBvLIlgBwAALGzKlCnDhg07fPiwo6Ojt7d3YmLinDlzgoODCwoKROTHH38MCgr65ptvMjMz8/Lyjh49+vzzz8fGxlq61daIYAcAACwpNzd31qxZItKzZ8+UlJRz585NnDhRRI4fPx4fHy8i0dHROTk53t7eP/30U1pa2tNPP63X6ydMmCAif/vb31L/6quvvlIUxc7OLjg42LL9sgiCHQAAsKTs7Ow7d+6ISGBgoI2NjYg8/fTT6qzU1NSCgoKvv/5aRIYNG9a0adPatWuPGTNGRJKSkhISEmxtbesaqVmz5sSJE/V6/dixY5s2bWq5PlkMwQ4AAFhSzZo1W7VqJSJ79uxRz73u3btXRKpVqxYQEJCcnJyTkyMizZo1U8s3b95cfXH69OkiVc2ePfvkyZP16tWbPHlypbXfqthaugEAAOBhFxMTM2DAgO+++65+/fouLi4XLlx45JFHFi9eXLt27QsXLqhl3Nzc1BceHh7qiytXrhhXkpaWNn36dBGZOHGii4tLJTbfinDEDgAAWJiLi0vz5s1tbGzS0tLUJNegQQM7OzsRycvLU8vY2v7f0Sh1uvEsVXR0dFZWVoMGDYYPH155TbcyBDsAAGBJeXl5Xbp0+eKLL4KCglJSUq5duzZu3LhDhw6FhIScOHHC0dFRLZafn6++uHv3rvqiWrVqhkouXbq0dOlSERk7dqy9vX3l9sCKEOwAAIAl7dq1Sz1KN3HixEcffdTT03PGjBk2NjaFhYWrV6+uW7euWiwjI0N9ce3aNfWFl5eXoZLPP/88Pz9fUZR+/fpVbvOtC8EOAABYUmpqqvrCwcFBfWFnZ6coiohcuXLFx8enRo0aIpKQkKDONdwz8cQTTxgqWbNmjYh06NChfv36ldVwa0SwAwAAlqTeEisiK1as0Ov18ufhNxFp06aNoijPP/+8iCxbtuzMmTMpKSlz5swREX9//4YNG6pv/OOPP9S0Z3hOykOLYAcAACypffv2anRbunSpl5dX48aNIyIiRKRRo0bqbRCTJ092d3e/dOlSq1atfHx8fvjhBzs7OzXeqc6ePau+MDwS5aFFsAMAABb25Zdfzp07t02bNrdu3fr11199fX1Hjx79ww8/VK9eXUR8fHzi4uKeeeYZV1dXJyenTp06ffvtt0FBQYa3X79+XX3h7u5umQ5YDZ5jBwAALMzW1nbs2LFjx469X4EWLVp89dVX95v7j3/8Qz2HC47YAQAAaARH7AAA0L6EhITs7GxLtwIiIra2tsb385q58gqqFwAAWI/BgwfHx8dbuhUQEXFzczM8k8/sCHYAADwUdIpuWMtIS7fiYbf23OcVWj/BDgCAh4JO0b0TONPSrXjY7f71u3S5VnH1c/MEAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGhE1Qt2165d69+/f7169Tw9PUNDQ5OTky3dIgAAAKtQ9YLdiy++uHbtWm9v7zZt2nz99ddhYWGFhYWWbhQAAIDlVbFgd/Hixe3bt/v6+h44cGDnzp2BgYEJCQlxcXGWbhcAAIDlVbFgd/z4cRHx9/fX6XQiEhAQICJHjx61cLMAAACsgK2lG1A6169fFxE3Nzf1T/XFtWvXDAX2798/ZcoUw59eXl7lXOLtgoK6H35azkpQTjfv3HH38DC9/KaNsm1rxTUHD5afX9o3FEivWRXSFJgu+7a4u5ei/Nr3ZeO8CmsNTFBQuj0tvzC/ydJHKqgtMFHWnVvVa1SvuPqrWLArQq/Xi4iiKIYptra2rq6uhj+NZ5WBj49Pbm5ueWqAWdQWcTft+8bV1dXPz6+i2wMTmbjWfHx8cnJyKroxMIWJq8zFxYUdzXqYvqNlZWVVdGNggjo1atSouNqrWLCrVauWiNy4cUP9MzMz0zBRFRAQsHnzZsOfkZGR5Vncpk2byvN2VL5u3bqdO3fO0q1A6WzcuNHSTUDpdO3alR2tytmwYYOlm4DKUMWusfP391cU5dixY/n5+SJy4MAB+fNKOwAAgIdcFTti16BBg/Dw8E2bNnXu3NnZ2fngwYNPPPHEU089Zel2AQAAWF4VC3YismzZMmdn5127duXn5/fu3fujjz4q54V0AAAA2lD1gp2bm9vq1ast3QoAAACrU8WusQMAAMD9EOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIgh0AAIBGEOwAAAA0gmAHAACgEQQ7AAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAMAANAIW0s3oMKNHz/e3t7e0q0AAAAoL71eX3IB5YElqrScnJz8/HxLt8KS9u/fP2vWrGHDhoWHh1u6LTDVqFGjrl279uWXX1q6ITDVgQMHZs6cOXTo0Oeee87SbYGp/vnPf6alpa1du9bSDYGpDh48+MEHHwwZMqR3796Wbosl6XQ6FxeX+83V+BG7atWqWboJFmZnZ3fr1i2dTle9enVLtwWmysvLy87OZpVVIexoVVFeXl5OTg6rrAqxt7e/deuWoiistRJwjR0AAIBGEOwAAAA0QuOnYlGnTp3g4OBHH33U0g1BKQQEBGRmZlq6FSgFdUfz9va2dENQCgEBARkZGZZuBUqhdu3awcHBPj4+lm6IVdP4zRMAAAAPD07FAgAAaATBDgAAQCMIdtYoPz9fMaLT6erUqRMSEhIXF3fPAoqiuLm5+fv7//e//zWuJykpacSIEd7e3vb29u7u7sHBwbGxsUVqeP755w3ld+7cqSjK8OHDRWTv3r06nc7Ly8twDcrJkydtbW3d3d1TU1MrYxQsrRLWwgMLGBbxxx9/qFNu3LjRrl07RVGioqL0en3xAqq5c+cqitKlSxfDlKysrHr16imKEhcX98C1X4UY+lKjRo3bt28bpnfr1k2dvn//fsPEpKQkdeLf//73e1ZyvwG55zhHR0cXH7F7LqJFixbKvfj7+5cwq5xt1pjk5OSXX35Z3U08PDx69OixdetWddbFixfVoTAuv3jxYkVRnn32WbnXrqqqWbOm6XNLGOebN29OmDChSZMmzs7ODg4OzZo1mz59ekFBQeWMjFmU0IWybaIlvKv8A25QZMcsoRf3+6g0Vv7PB0VRdDqdu7t7UFDQJ598YqltgJsnrFpERISTk1NBQcGZM2e2b9++d+/epKSkevXqGQqEh4c7OjqKSGpq6v79+4cPH67X69VNbf/+/SEhIVlZWbVq1QoMDExNTd21a9euXbvGjRs3Z84cQw2xsbF79uwxTgCqzp07jx49+sMPP3zjjTeWLl1aUFAwYsSIgoKC2bNne3l5VUbnrUaFrgUTV5MqIyOje/fux48fHzVq1IIFC5S/fpMZGz169IoVK/bu3bthwwb1w2j69OmpqakRERFBQUGGp3bfb+1XOYqi3Lx5c+fOnaGhoSKSnp4eFxenKEWvIV65cqWIuLi47Nq16/Lly8YrUVX+AbnnIkJCQlq0aCEi8fHxiYmJzZo1a9WqlYg0atTozp0795tVaW22fseOHQsODs7MzPT09OzUqdPly5d37NixY8eOKVOmTJ061fR6DLuqqsiz0EqeW8I49+rVKy4urnXr1pGRkTk5OevWrZs0aVJWVtZ7771netssq4QulLD1qu8t7TZvWGiZB7wMvTDl7eXf18LDw+3s7H799dcDBw7s27cvNjZ269atFvjtKz2sz927d9W1k5qaqk4pLCxU94dt27bds4Ber58+fbqI9OjRQ6/XFxQUPPbYYyIyaNCgvLw8tUBsbKxOpxORPXv2qDV4eXnZ2Ni0bt26oKBAr9d/9913IvLSSy+p5XNycvz8/ETk+++/nzt3roh07dq1MsfBsiphLZi4mtRFpKenP/HEEyIyZsyYEhppsH//fkVRfH198/LyLly44ODg4ObmlpaWZnhXyWu/qlD70rhxYwcHh2HDhqkTly9fLiLq98q+ffvUiYWFhb6+vg4ODu+8846IzJw5s0glJQzIPcf57bffLjJiJSxCNXLkSBGZMGFC8Y7cc1Z52qwZhYWF6qrs27dvTk6OOnHNmjXqPzaHDx9OTk4u/nW2aNEiEQkNDdWXuJuYOLeEcb527ZqI6HS67Oxs9S2HDx9+/vnnZ8yYYdZhqEAmdqG0m+j93lXOAS9eWK2q5F6UvNCSO1KGz4fjx497eHiIyNy5c++5uArFqdgqoLCw8OTJk1evXnV0dGzduvX9iqmHYZycnETk2LFjSUlJzs7OCxcudHBwUAv07t17wIABIrJ69Wp1ipubW2Rk5KlTp5YsWVK8Qicnp+XLl+t0updeemny5MnVqlW7Z7GHREWsBRNXk4hkZGQEBwcfP358/Pjx8+bNM6XBHTt2HDJkSHJy8rx5815//fXbt2/PmDGjdu3ahgIlr/2qRafTderUafPmzeq5j40bN7q6urZs2dK4TFxcXHJyco8ePYYOHaooivrfubHyD8gDF2H2CrW0Eu/n1KlTCQkJjo6OixYtUvcsERk4cKD6o1KrVq2qhDaUMM5ubm7Vq1cvLCycNWvW1atXRaR9+/br169/8803K6FhZlGeLph9mzc0qbQbdjlXhHn3tbZt206bNk3++jFeaQh2Vs3Ly0tRFBsbm7Zt27q4uGzbtu2RRx4xLhAVFTVgwIABAwZ06dIlOjrawcFh3LhxIpKYmCgiTZs2rVGjhnH5Dh06iMi5c+fUP+/evTtt2jQ3N7fJkyff88FpHTp0iIqK+uWXX7KzsydMmNCwYcMK6qk1q7i1YOJqEpGwsLD4+HhnZ+cxY8aY3vKZM2d6eHhMnTp106ZN7dq1i4yMNJ77wLVfheTn5z/zzDPXr1/fu3dvTk7Ojh07QkJC1AOfBuondf/+/evXr9+xY8eEhISTJ08aFzBlQNSNQVX8JOADF1FaZmlzVffTTz+JiJ+fn3oNlkHHjh1FJCEhwfSqjFefoijvvvuuiXNLGGcbG5slS5a4urpGR0fXqVPHz88vIiLCcP1flVCeLpRnmy/bgFdEL0zpSGmbFBQUJH9+C1Qygp1VGzp06MiRI0eOHNmnT5+MjIx+/frt3r3buMDmzZtjYmJiYmL27t3brFmzI0eOBAYGioh6kqKwsLBIheoUwxeeXq/39PScMmXK1atXp02bVvyardzc3J07d6qvt2/fXrzCh0HFrQUTV5OIpKenh4aGZmdn9+nTx/gWgZLVrFnzvffey8vLUxRl0aJFRYLOA9d+1aJeShgbG7t9+/bc3Fzjy5xFJDc3d/369U5OTmFhYSLSv39/+fOj3MCUAWnfvn3HPzVo0KC0iygVc7W5qjM+Cm5M/Slww1kwU4SHh/c38vjjj5s4t+Rx7tev32+//bZmzZpXXnnF2dl51apVYWFhQ4YMKWVHLalsXSjnNl/mATdvL0zsSGmbdPPmTRGxsbExpeVmVvlnf/FA97waICYmRkTatm1bvMDPP/9sZ2fn4OBw7tw5tXB8fLyIVKtW7fr168Y1Dxw4UERGjhyp1tCoUSO9Xn/nzh0/Pz87O7tPP/1U/nodg3rkacSIEQEBASLy0UcfVUL3rUQlrAUTV5OInD59+s6dO0899ZSIDBkypORGGlOPdjg7Oxfv2gPXfpVg3Bd/f39fX9+hQ4c6OTllZWW98MIL8uc1dmvWrCn+6VenTp38/Hy9CQNiyjV2JS9CVapr7MrZZs1Q70P38PC4e/eu8XT16PWLL75ouE//2rVrhrnq2unXr5/eHNfYPXCcCwsLDa+PHj1qa2srIikpKeXufeV5YBdKu4ne711mGfD7VXW/XpS80Ir4fHj//fdF5Kmnnipp0CsGR+yqDPUoTnp6evFZTZo0GT169O3bt1955RV1yt/+9rfmzZvn5OS8+uqreXl56sRt27apuWTw4MHGb7ezs5s9e/bdu3c/+OAD4+mHDh2aP39+vXr1Zs2atWTJEjs7u7feeuvSpUsV0buqwrxrwfTVVKtWLTs7u3Xr1tWtW3f58uULFiwwV4/ut/aror59+yYnJ2/YsKFnz57Ozs7Gs9R/vrt27Tr4T/Xr109LS9uxY0eRSso8IKYvwuwVamklFvfkk0/WqlUrPT198eLFholpaWkrVqwQkYiIiNq1a6tnaQ1PGkpPT1evbTI8ksMs7jnO69ata9CgQY8ePQzPtmjatKmLi4uIVJUnnpS5C2bf5oso1YZdnhVh9n3txIkTaoEi37aVpPKzJB7IEP8jIiIiIyMjIyP/8Y9/qF9U0dHR+nv9f3Dz5s26deuKyMqVK9Uphw8fdnV1FZFatWp17dr18ccfVw8dT5kyRf/Xf0FU3bt3V+tU/wXJzc1t0qSJiMTGxqoFJk6cKCK9evWqzKGwoEpYCw8sUHwR+/bts7Ozs7W13b17t3GBIic1YmJi1PIPPGKnKrL2qxDjviQlJam9WLNmjV6vNxyxu3z5so2Njb29vfGR0ZkzZ4rIgAED9CYMyAOP2D1wESrTj9iVv81asmrVKvXSheHDhy9btmzu3Lnqda7PPfecWkANeSLi7+/fs2dPd3d3EWncuHFmZqb+/rtJ//79ExMTTZlbwjinpaXVr19fRB577LFBgwa98MIL6jn6Nm3aWGSsysDELpR2E73nu/SmrQ4TN2zjHbPkXpTwUWnGzwe18qeeeko9UvjMM88YH7ysNAQ7a1T8qhEXF5fWrVsvWLBAPc58z68Z9REPtWrVMmyd58+fHzx48COPPGJnZ+fu7v73v/9969atxosw3lLPnDmjXg2gbqnjx48XkT59+hgK5OXlqU8/MYQGbauEtfDAAvdchHq4rmbNmsnJyfe7wGjixIlqYRODXZG1X4UU6UubNm0cHBxu3rypNwp26md03759jd+Ymppqa2vr5OSUmZn5wAF5YLB74CLUKaYHu/K3WWO2bdvm7e1t2MIdHBxee+0145OzmzdvDgoKqlmzprOzc/PmzSdNmpSRkaHOKuE6vEOHDpkyt+RxvnjxYlRUVMOGDZ2cnBwcHBo3bjxmzBjj88LWz5QulHYTvee79KatDhM37CI7Zgm9KOGj0oyfDypHR8c2bdp8+OGHFkl1er2+6AM8AQCwQnq9/vz58+3atbt169aOHTsMR00AGLOJjo62dBsAAHgA9VenMjMzDxw4sG3btl9++eXs2bOdOnWydLsA68IROwBAlXHnzp3x48d/+eWXN27cMP7FWAAqgh0AAIBG8LgTAAAAjSDYAQAAaATBDgAAQCMIdgAAABpBsAPwcAkICFD+SqfTeXp6hoSEfP311+ZaSs+ePRVFMe9PWgHAAxHsADzs9Hp9enr69u3bQ0ND58+fb5Y669Sp4+3tXa9ePbPUBgAm4nEnAB4uAQEBhw8f9vHxOXTokDolLy/vhx9+iIqKyszMdHZ2vnr1qpOTk2UbCQBlwxE7AA8jGxubun/y8fEZMGDAqFGjRCQ7O1v9gV0ROXLkSHh4uKenp6OjY6tWrZYuXWpcwyeffOLn5+fo6Pj4449/+eWXM2bMUBTF1dVVnVv8VOzFixeHDx/eoEEDe3t79czv7t27DXMDAwMVRRk0aNClS5fCw8OrV6/u6ek5fvz4/Pz8Ch8LABpia+kGAIB1cXNzE5Hdu3f37Nnz7t27bdu29fX1/eqrr0aMGHHt2rV///vfIrJs2bKoqCgRcXFxsbe3j4iIUDOcvb39Pev88ccfg4KC0tPTHR0dW7ZsefHixe3bt3/77bfLly+PiIgQEUdHRxFJT0/v0aNHYmKi+rPic+bMcXJyeueddyqr6wCqPI7YAXjY5eXl7dy5c/HixSLi5+fn6+srIv/85z/v3r3bqVOno0ePrl+/PiYmRkSmTp2akZEhImrYqlu37s8//3zixImvv/5aPbGrKMo9FxEVFZWenl6zZs0zZ84cP348JSXlySef1Ov1o0aNunXrlojY2NiIyI4dOzp27Hjz5s0LFy7UrVtXRD777LPKGQQA2kCwA/AwunDhguGuWCcnp+7du1+/ft3FxeXTTz9VFEX9gXkRCQ8P1+l0ItKrVy8XF5e8vLzvv/8+LS0tOTlZRAYOHFi/fn0RCQ4OLuHX6C9fvrx//34RiYiIeOyxx0TExcVl7NixInLr1q1du3YZStrb28+ZM8fR0bFhw4b/+Mc/1Pfevn27QocCgJYQ7ABARCRmkKBDAAAYMklEQVQwMPD06dOdO3cWkd9++02d+MYbbxgeiZKVlSUiKSkpv//+uzq3YcOGhre3aNHifjUnJiaqL/z8/AwTGzVqpL64cOGCYWLDhg0NV+mpkVFEcnNzy9UxAA8TrrED8DDy9fU9cuSI+josLOzQoUOnT59WL3Qz1r179+bNmxtPady4seFhAsYnXk15wkBhYWHx1+oRQZVxA9STswBQKgQ7AA8jnU5Xs2ZN9fXChQvbtWuXmZn52muvrV27VkR8fHzUWV27dlXvljB2+fJl9UVSUpJh4pkzZ+63LMOBup9//tkw8dy5c0XmAkD5cSoWwMOubdu2I0aMEJF169apPz7h7e2tnlpdtWqVenNDYmJi586d+/Tpc/bsWS8vr8aNG4vIF198oYa8b7/99uDBg/er38vLSz3Du3r16l9++UVEbty4MW/ePBGpXbt2t27dKqGPAB4SBDsAkOnTp3t4eIjIq6++mpOTIyLz58+3tbU9e/Zso0aNOnTo0Lp167i4uFu3bjVt2lRRlNdff11E/vjjDz8/v1atWvXq1euJJ54oof6PP/7Yw8MjPT29RYsW/v7+Pj4+J06csLe3/+yzz4qf/wWAMiPYAYB4enpOnz5dRFJSUt5++20R6dat2969e3v06HHnzp1jx455eXm98847W7ZsUS+Ji4yMfP/99x955JH8/HydTvfFF188+eST8tcL5ow1b9782LFjQ4YMcXd3P336tL29fd++fQ8dOhQaGlqJvQSgffykGACYwfPPPx8bG+vn52e4eA4AKh9H7ACg1CZPntyqVau2bdvm5eWJSFpa2s6dO0WkhKfZAUAl4IgdAJTali1bevfuXVhY6O3t/fjjjx85cuTatWseHh5HjhwxPKAOACofR+wAoNTCwsK2b9/evXv33Nzc7777zsHBISIi4ujRo6Q6AJbFETsAAACN4IgdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANIJgBwAAoBEEOwAAAI0g2AEAAGgEwQ4AAEAjCHYAAAAaQbADAADQCIIdAACARhDsAAAANMLW0g2AFfmf//mflJQU89Y5efLkkJAQ89ZpWVeuXHnuuefMXu2WLVtq1qxp9mo16auvvpo+fbp56/T19V2zZo1563zYBAUF5efnm7fOxYsXt2rVyrx1WrP4+PhRo0aZt04HB4fvv//evHXCmhHs8P/i4+PPnz9v3jqvXLli3got7vbt24cOHaqIas1ep1alpaWZfRXcuHHDvBU+hA4ePFhQUGDeOm/evGneCq1cZmam2bdtR0dH81YIK0eww1+4OThcHj3CLFUtOZnw2nd7zFKVFWrfXkaNNk9VCz6UY0fNU9XDZVyohLYxT1W9ZpqnHjRqI7P3maeq5RNl84fmqaqq+Wfbcf8OeNssVXWP6fhLdpJZqkJVQbBDUTpFMUs95qnFiplpnFBWioiOdWB9FC7dNgMdw4iyYtMBAADQCIIdAACARhDsAAAANIJgBwAAoBEEO3MKCAhQ/srV1bVx48YDBw48ffp0kcIpKSnjxo1r0aKFq6urk5NTw4YNhw4devz48ZIr1Ol0np6eISEhX3/9dRkqBAAAGkawq1hZWVlJSUlffPHFk08+efLkScP09evXN2vWbN68eT/++GNWVlZeXl5ycvLy5cv9/f2nTp1aQoV6vT49PX379u2hoaHz588vf4WWlZ+fXyS21qlTJyQkJC4u7p4FFEVxc3Pz9/f/73//a1xPUlLSiBEjvL297e3t3d3dg4ODY2Nji9Tw/PPPG8rv3LlTUZThw4eLyN69e3U6nZeXV0ZGhjr35MmTtra27u7uqamplTEKJqiEgXpgAcMi/vjjD3XKjRs32rVrpyhKVFSUXq8vXkA1d+5cRVG6dOlimJKVlVWvXj1FUeLi4h64gqyBoZE1atQwfuJgt27d1On79+83TExKSlIn/v3vf79nJffr6T0HMDo6uvhQ3HMRLVq0UO7F39+/hFnlbLM1SE5Ofvnll9WN1sPDo0ePHlu3blVnXbx4UW2/cfnFixcrivLss8/KvXYclfq0cBPnljA4N2/enDBhQpMmTZydnR0cHJo1azZ9+nSzP+2vnEpoZNm2nBLeVf4hNSiyv5TQi/t9NBkr/26rKIpOp3N3dw8KCvrkk08suJZ53In5NWrUKCnp/54bdOPGjUWLFr311lt5eXlLliz5z3/+IyLx8fEvvPDCnTt3qlevPnny5J49ezo4OBw6dGjKlCkpKSnR0dHe3t5DhgwxVOjj42N4ZGVeXt4PP/wQFRWVmZk5adKkyMhIJyen0lZohSIiIpycnAoKCs6cObN9+/a9e/cmJSXVq1fPUCA8PFx9zGZqaur+/fuHDx+u1+vV/Wr//v0hISFZWVm1atUKDAxMTU3dtWvXrl27xo0bN2fOHEMNsbGxe/bsMY4Xqs6dO48ePfrDDz984403li5dWlBQMGLEiIKCgtmzZ3t5eVVG50ujQgfKxJFUZWRkdO/e/fjx46NGjVqwYIFy/6e/jB49esWKFXv37t2wYYP64Th9+vTU1NSIiAjj3yq43wqyHoqi3Lx5c+fOnaGhoSKSnp4eFxenKIperzcutnLlShFxcXHZtWvX5cuXjdeOqvw9veciQkJCWrRoISLx8fGJiYnNmjVTf7OhUaNGd+7cud+sSmtzBTl27FhwcHBmZqanp2enTp0uX768Y8eOHTt2TJkypVT/0xp2HFX16tVNn1vC4PTq1SsuLq5169aRkZE5OTnr1q2bNGlSVlbWe++9Z3rbKloJjSxho1LfW9pN0bDQMg9pGXphytvLvwuEh4fb2dn9+uuvBw4c2LdvX2xs7NatW+3t7U3vgrkQ7CqWm5vb2LFj33rrLRHJy8tTJ06ZMuXOnTsiEhsb261bN3Vi48aNn3766aZNm+bk5EyaNOmFF16ws7NTZ9nY2NStW9dQp4+PT0JCwvTp07Ozs3/66ae2bduWtkIr9MEHH6h91Ov1jRs3vnDhwokTJ4x3rcWLFxsGYcaMGRMnTly/fv3w4cMLCwuHDh2alZU1aNCgpUuXOjg4iMjGjRv79u07d+7csLCwjh07ioiXl9eVK1fGjBkTHx+v0xU9UP3ee+998803//3vfwcNGnTixIljx4517dr1pZdeqqTOl0bFDVRgYKApI6kypLoxY8bMmzev5Dbb2tp+/PHHgYGBb7zxxrPPPvv777/PmzfPzc1t1qxZhjIlryAr8dhjj/3666+xsbFqsNu6dWt+fn6LFi0SEhIMZfR6/erVqx0cHCZMmDB58uQ1a9a88cYbxpWUv6f3W4RhPEeNGpWYmBgWFvb+++8Xee89Z1VCmyuIXq8fOnRoZmZm3759V65c6eTkJCKff/75oEGDpk2bFhoaWrt2bROrMt5xSjW3hMG5fv16XFycTqc7ePBgtWrVRGTYsGEzZ84sEmIsq+RGlrxRlWFTNPwjV7YhLVsvHsgsu4ChR/Hx8d27d9+xY8d//vOfsWPHmtIA87KiXVSTsrOzP/roI/V1WFiYiOTk5OzYsUNEunTpYghhqgYNGrz88ssi8vvvv//www+m1O/m5mbeCi2rsLDw5MmTV69edXR0bN269f2KqR8N6of4sWPHkpKSnJ2dFy5cqGYREendu/eAAQNEZPXq1eoUNze3yMjIU6dOLVmypHiFTk5Oy5cv1+l0L7300uTJk6tVq3bPYtajIgbKxJEUkYyMjODg4OPHj48fP/6BqU7VsWPHIUOGJCcnz5s37/XXX799+/aMGTOMv3RLXkFWQqfTderUafPmzepJlo0bN7q6urZs2dK4TFxcXHJyco8ePYYOHaooinoYwFj5e/rARZi9QqtdO6dOnUpISHB0dFy0aJG6nYvIwIEDe/fuLSKrVq2qhDaUMDhubm7Vq1cvLCycNWvW1atXRaR9+/br169/8803K6FhJipPI82+KRqaVNrtrZxDbd5doG3bttOmTZO/fmxWJoKd+V24cMH2Ty4uLv/6178ee+yxzz77LDw8XESSkpLu3r0rIgEBAcXfa5hofAzAWF5e3s6dOxcvXiwifn5+vr6+5azQSnh5eSmKYmNj07ZtWxcXl23btj3yyCPGBaKiogYMGDBgwIAuXbpER0c7ODiMGzdORBITE0WkadOmNWrUMC7foUMHETl37pz65927d6dNm+bm5jZ58uTMzMziDejQoUNUVNQvv/ySnZ09YcKEhg0bVlBPy6niBsrEkRSRsLCw+Ph4Z2fnMWPGmN7ymTNnenh4TJ06ddOmTe3atYuMjDSe+8AVZA3y8/OfeeaZ69ev7927V/2HKiQkpMi/7+pXQv/+/evXr9+xY8eEhATji2vFtJ6qa1lV/HziAxdRWmZps0X89NNPIuLn56deoWWgHl0u1Yee8ZgrivLuu++aOLeEwbGxsVmyZImrq2t0dHSdOnX8/PwiIiIM1/9ZifI0sjybYtmGtCJ6YUpHStukoKAg+fNTt/IR7CpEwZ/UP3/99deYmJjz58+LyK1bt9SJderUKf7G+vXrqy8MxUTkwoULhq3fycmpe/fu169fd3Fx+fTTTxVFKUOFVmjo0KEjR44cOXJknz59MjIy+vXrt3v3buMCmzdvjomJiYmJ2bt3b7NmzY4cORIYGCgi6qVdhYWFRSpUpxi+dPV6vaen55QpU65evTpt2rTiF4Tl5ubu3LlTfb19+/biFVqJihsoE0dSRNLT00NDQ7Ozs/v06WN8J0HJatas+d577+Xl5SmKsmjRoiJ56IEryEqo1wjGxsZu3749NzfX+HpqEcnNzV2/fr2Tk5N6eL5///7y53eGgSk9bd++fcc/NWjQoLSLKBVztdkijI9JG1NPxqn/8ZooPDy8v5HHH3/cxLklD06/fv1+++23NWvWvPLKK87OzqtWrQoLC7O2K57L1shyboplHlLz9sLEjpS2STdv3hQRGxsbU1pudlxjZ37GN0/k5uYeP3582LBh3377bbdu3X766SfD4ZDff/+9+HsvX76svnBzcythEYGBgStWrPD19RURs1RocTNmzDBcb7F27dr+/fu/8cYbxs9qSU1NrVu37rlz51q2bHnhwgXDVbfNmjUTkXPnzqWnp3t4eBjKHz58WETUC3gNRo0atXjx4o8++qhp06ZFGjBp0qTz58+PGDHizJkzhw4d+vjjj0eNGlUBHS2vihso00dyz549TZs27dKly8GDB6OiopYtW2Zi49X/YqtVq/bEE0/cs0AJK8hKeHt7+/v7f/311zk5OU5OTqGhoVu2bDHM3bhxo/qB7urqapj4+eefz5o1q8hHfMk93bx5s2EtR0dHGx+0M30RJjJXmy3Cx8dHRBITE/Pz821t///rTD3A3LBhQ8P2f/36dU9PT/W1emuks7OzcVVlvsZOVcLgVK9efeDAgQMHDhSRY8eOdejQYcWKFdOmTXv00UdN7WfFK0Mjy7kplmdIS9uL4ndClK0jpjdJvU2+efPmJrbcvDhiV7GcnJw6deoUHR0tIpcuXdqzZ4+fn5/6WbNv377i5Q8ePKi+aNOmjWGir6/v1T+p58VOnz5t+MAqQ4VWTj1ElJ6eXnxWkyZNRo8effv27VdeeUWd8re//a158+Y5OTmvvvqq4faUbdu2xcTEiMjgwYON325nZzd79uy7d+9+8MEHxtMPHTo0f/78evXqzZo1a8mSJXZ2dm+99dalS5cqondmZN6BMn0ka9WqZWdnt27durp16y5fvnzBggXm6tH9VpBV6du3b3Jy8oYNG3r27FkkHKj/5Xft2nXwn+rXr5+WlqZeBWuszD01fRFmr9AK186TTz5Zq1at9PR09eoUVVpa2ooVK0QkIiKidu3a6llaw3N/0tPT1SufDA/sMIt7Ds66desaNGjQo0cPw9mbpk2buri4iIj1PPGkzI00+6ZYRKm2t/IMtdl3gRMnTqgFinwBVRqO2FWqjIwMe3v7sLCwtWvXHj58eOvWrb169TLMTU5OXrp0qYg0atTI+JCGTqczXEGycOHCdu3aZWZmvvbaa2vXrhWRMlRohSZMmKCeT0lPT1efvXy/Q+hvv/32mjVrdu/evWrVqhdffFFRlGXLlgUHB8fExOzevbtly5ZpaWlnz57V6/VTpkxp166d4SYsVa9evbp37/7dd98ZpuTl5Q0dOrSwsHDhwoU1atSoUaPGv/71r+nTp7/66qvGB2OsRMUNlIiUaiTr1au3bt26rl27vv766y1btnz66acNs6KioowfZNCnT59+/fqZ2MHiK8ja9O3b99///vfNmzf79u1rPD01NXXnzp329vbr1q0zHPKcNWvWv/71r5UrV4aEhBSppww9Le0izF6hta0de3v7uXPnDh48ePTo0adOnerYsWNGRsbcuXMzMjKee+654OBgEZkzZ87gwYMnTJiwbt26mjVrHj58OCMjo3HjxkWu8iyy0YrIu+++qx4RfOBcVfHB6dy5s16v/+6775o2bRoQEKDX6+Pi4m7cuNGmTRv1fIs1KFsjy78plm1Iy9YLw2dX8Y+mwMBAc+0CauW//fbbkSNH1OtxLfVoBY7YVayCgoJTp07NmDFD/VNNV1OnTlUvARkwYMB7772XkJCQmJi4cuXK9u3bZ2dni8isWbPud0N127ZtR4wYISLr1q0z/PhEeSq0EitXrvzkk08++eSTb7755rHHHluwYMGUKVPuWdLV1VW9c/71119XD1a1b9/++PHjgwcPdnBw2Ldv3+XLl7t3775169b7PcVq7ty5xgfYJ0+efO7cuT59+qh30qlT/Pz8tm7dqkZnq1KhA1XakezUqdOcOXPy8/P79et38eJFw3TDdX6q4j+7UrIiK8jaNGrUqE2bNg4ODsb/RInI6tWrCwoKwsLCjE9kv/jii7a2tps3b1bP9RRR2p6WYRFmr9Da1s6gQYO2bNny6KOPLl26dOjQoePGjbt69eprr722bt06tUBERMTmzZuDgoIuXry4b98+Ly+vSZMmHTlypMiDMIpstDExMdeuXTNxrkGRwaldu/aBAweioqIKCws3bNiwfv16R0fHMWPGWE8ylrI2svybYtmGtJy9KP7RZMZdQK08Pj6+ZcuWH3744ZYtWyy1pxR9tCbKIyAgQL0gybA6CwsLDSP8yiuvfPzxx+rrb775pl+/fllZWUVqsLGxmTt37ujRo40rNL5oT0SuX7/u5+eXnp7u7e199uxZNdKZWGHJmjRpciUl5Y/XXi5Vr+/n0xNnRn+3Z/ny5ZY6HF1Bfvvtt0cffbR9e/nna+ap8MP5cuyoXLp0yXCnC0r22WefvfTSS/J6qDzb1jw1hn7QzLvR2bNnzVPbw8rW1rbAp5XMOWCe6pa9KZs/3LdvX6dOnR5YVq/Xnz9/vl27drdu3dqxY0f37t3N04ZK9/3333ft2vWfbce91cE8vxjU7csOv2Qn5ebmmqU2VAlWfRSn6jLcFasoipeXV3Bw8Pr169WfnVCFhIT8/PPP48aNa968ubOzs6OjY6NGjUaMGHHq1KkHhjBPT8/p06eLSEpKyttvv13+CgGgSlMUpUmTJq+++qqI9O/fPzIy0nouBAQqGdfYmVOpHgJcv379OXPmFP+lJlMqjIqKioqKKkOFAKBV06ZNy8nJ+fLLL5ctW9ajR48JEyZYukWABXDEDgCgBfb29gsWLLhy5cqdO3es7TnAQKUh2AEAAGgEwQ4AAEAjCHYAAAAawc0T+Iu7hYXrfzbP7xafSLtqlnqsU3q6HC7FrTIlycgwTz0PnXOp4mKmB5QUWOlPA1c9WTfkwAbzVHXZMj+gbg0Sb5zfkhRrlqpu3in10w1R1RHs8BfZd+8O2rLd0q2oApKSZOFHlm7EQ25bvGyLt3Qj8FdpyTLrRUs3osrb/su27b9sM1dtRX7gAZpHsMP/e/PNN+/5w6Plof5WlZa4u7tXxDNlatSoYfY6terJJ580+yow/EI8ymz27Nnq7xebUcOGDc1boZVr3Lix2bdtOzs781YIK8cvTwAAAGgEN08AAABoBMEOAABAIwh2AAAAGkGwAwAA0AiCHQAAgEYQ7AAAADSCYAcAAKARBDsAAACNINgBAABoBMEOAABAIwh2AAAAGkGwAwAA0AiCHQAAgEYQ7AAAADSCYAcAAKARBDsAAACNINgBAABoxP8CSiA63H+Sfg8AAAAASUVORK5CYII=",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "areas %>%\n",
        "  ggplot(aes(x=BORO, y=Freq, fill=BORO)) +\n",
        "  geom_bar(stat='identity', color='black') +\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 2))+\n",
        "  geom_text(aes(label=Freq),vjust=-0.25,fontface='bold')+\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.position = \"bottom\",\n",
        "        plot.title = element_text(color='black', face='bold', hjust = 0.5),\n",
        "        panel.grid.major = element_blank(),\n",
        "        panel.grid.minor = element_blank()\n",
        "        ) +\n",
        "  labs(y=\"Reported cases\", x=\"Region\") +\n",
        "  ggtitle(\"Shooting cases in areas of NYC\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "6txLmrbifaEn",
        "outputId": "edff0c0b-dc45-44b0-a6bf-392750cf7849",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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Pzs6Oem1jY0PfKiuKzl8fPnxYIxHWJSR2MhC9xu779+8vX77ctm2bjY2NxMpKSkqie3B1dXV6Vfv69atYZXrlrnhzVsWH5X379o16QW0bcrcsFqFM5O60fnbn5OR0586dzMzMqKgoV1dXup0XL14MGzaMXuC1EW0dL8nKcDgcepB3+vtDLAbp1NTU6NVJyhIrLCz87bffqNfe3t4fPny4f//+zZs3vby8Klau8nNRV1fn8XhU4apVqySelYiMjGTYWpXzWHGjZt47hfXNmWHMos8YFVsyFaOqSwzjZ7iaMVxpa5Z8a1H1t1AF22mLUVVVXbRoEfU6IiKi+s/boO+xOHnyZGXrxtKlS2fMmEENblyvILGrIxwOh76Y4+bNm6KTysrK7t+/T73u2rWr2Bu/f/8u+jyT8vLyf//9l3ptYmJSnZaro447rYPuOBxO7969582bd/jw4by8vLS0NOoX/IcPH+gTIrURLSsfn0SGhobUC7pTyq1bt5i8ncvl0ufsxE6v7NixY9GiRYsWLTpy5MiNGzfor6XQ0FD6EvVHjx5JbFb658LhcOgzaPT5LClq8FOmWpOpd6IebM7MY6aOfxAVjljcuHFDvq5rBMP4Ga5mDFfamgpeIuafSDW3UMXbaYsZO3YsdTvzq1ev6MFl5EYPd1JQUCD284xy9+7dhQsXrlq1qmvXrqLPq6gPkNjVnREjRlAvUlNTc3Jy6PKkpCTq5wuHw5F4rR49UCRBEOnp6fQp/z59+lSzZTGij7v9+PFjLc2OfGqpu+Li4j/++MPf33/YsGH0CREejzd06NAePXpQf8oxqrhM0cpUWabPSCa9evWiXqSnp9MtFxYW0iM/VcnNzY16kZqa+uXLF+r1p0+fpkyZMm/evHnz5uXk5IguzLKyMurF/fv3T58+LVrI/HMZOHAg9WdKSgr9XS4QCHx8fAICAmbPnv369eta+pQZ9i72FtY3Z4Yx9+7dmw7y06dP1OvCwkLRWxpZwSR+hqsZwWylreUZYvqJVH8LVYyddmU4HA49SKToWD/ycXBwoEe+XL58+YwZM+itgCCIAwcODBw4kNp4tbW1x40bV83uapjEA79Akz6OXUVSxvv+9OmTgYEBNdXU1HTNmjV79+4NDQ2lD7CL3pZFt6OkpMTn8+fPn3/69Om1a9fSA6x07NiRHrlbvpYrRlheXs7n86mp9vb2u3fvpoZgkPiWGun01atX9OK9c+eOlAUrU3ekLDdY0WNWeXp6ZmRkXL9+/dy5cwsWLKAWhYqKyvv372WdBZmilamyTJ+RTDGfPHmSLuzatWtSUtLGjRt79OhBXw1T5V2Q2dnZ9LU4PXv2TE5O3r59u5WVFVViZGRUWFj4+vVr+jzUkCFD7ty5k56erq+v37FjR6qwSZMmly5dev/+PcPP5enTp/TxGDs7u0OHDh09epT+RunSpQu1mTBsTSIpmwzD3uvV5sww5jNnztDrg5WV1a5duzZv3tyjRw/6eikulyt9faj+OikRk/iZr2ZMVtoaCbv6a5FMW6hi77TF7ooVRWfJFIl3xZIig73369evsl6ys7NFL7+jhh50cHCgDq5TOBxOSkqK9GjrHhK7KtRgYkdKHYZ7xIgRoiOMiw50Hh4eLlZZVVVV7DFEcrQsMcJBgwaJvpcaFkiOQcwZdsp8HyFTd6Qs+4g7d+7Qex8xXC5348aN8s2CTNHKVJn5ZyRrzOPHjxfrXV1dnb5lrMrEjiTJgwcPSry4vlWrVvQwH/SQE7Q2bdo8f/68TZs2dMn8+fMZfi7UbNJfFaL09fXpYT6Yt1aR9E2GSe/1anNmGDNJkvTwrTQNDY2///6b/lPK4H+VxVYjuwIm8TNczUhmK22tJnYM54iUZQtV7J22lMTu9u3bopcwViexI0kyOzubvs2iIl1d3b1790oPlRVI7KpQs4kdSZJfvnxZtGhRjx49mjZtyufzW7duPXz48PT09Mra0dDQIEkyLi7OwsJCVVVVW1t76NCht27dqn7LEiPMycnx8PBo1qyZqqpq27ZtFy9eLP0t1exUpn0E8+5IWfYRJEm+e/du4cKF1tbWLVu25PP56urqnTp1mjRpkuhylmMWmEcrU2Xmn5GsMQsEgmXLlnXs2FFFRaVFixYjR468fft2RkaG9FVazLNnz4KDgzt06EAN2dClS5fZs2eLPo+1tLQ0Ojq6c+fOampq+vr6EyZMoAYvPX78eMeOHZWUlAwMDHbt2kUy+1wo9+/fDwgIaNu2rYqKirq6upmZWUREBHUvIY15a2Kq3Kir7L1ebc7Ml5hAIPjrr786duyorKxMrQ93794VHcDl69evsi63mtoVVBk/89WMZLDS1nZix2SOSFm2UMXeaUtJ7Mj//UFSzcSOcujQoYCAgI4dOzZt2lRJSal58+aOjo7Lli0T+3TqDw5Z1YgvwIo9e/b89NNPBEGoqKiUlJSwHQ40Xlu2bKGOE7Rp06biFWPABDZnqD3YQkFMdW8JBgDF8ODBg7S0tFevXuXn52/dupUeL2Dv3r3Ui8pG9gGAOoAtFBhCYgcABEEQfD6feioiQRAlJSXTp09XUlLas2dPeno6VeHnn39mNUCARg1bKDCExA4ACIIgTE1N58+fT43YlJqampqaKjp13rx5AwYMYCcyAMAWCowhsQOA/zd//nx7e/t169Zdvnz5/fv3XC63VatWvXr1Cg4OdnR0ZDs6gMYOWygwgZsnAAAAABQEnjwBAAAAoCCQ2AEAAAAoCCR2AAAAAAoCiR0AAACAgkBiBwAAAKAgkNgBAAAAKAgkdgAAAAAKAokdAAAAgIJAYgcAAACgIJDYAQAAACgIJHYAAAAACgKJHQAAAICCQGIHAAAAoCCQ2AEAAAAoCCR2AAAAAAoCiR0AAACAgkBiBwAAAKAgkNgBAAAAKAgkdgAAAAAKAokdAAAAgIJAYgcAAACgIJDYAQAAACgIJHYAAAAACgKJHQAAAICCQGIHAAAAoCCQ2AEAAAAoCCR2AAAAAAoCiR0AAACAgkBiBwAAAKAgkNgBAAAAKAgkdgAAAAAKAokdAAAAgIJAYgcAAACgIJDYAQAAACgIJHYAAAAACgKJHQAAAICCQGLHSFBQEAdAXvPmzWN7FQYAgEZBie0AGozDhw8rKWFxgcz++OOP3NxctqMAAIBGAZkKU3379lVWVmY7Cmh4Nm3axHYIAADQWOBULAAAAICCQGIHAAAAoCCQ2AEAAAAoCCR2AAAAAAoCiR0AAACAgkBiBwAAAKAgkNgBAAAAKAgkdgAAAAAKAokdAAAAgIJAYgcAAACgIJDYAQAAACgIJHYAAAAACgKJHQAAAICCQGJXK0aOHGnNgJ2dXXZ2tqyNT5gwgfMfXC5XT0/Pzs5u+/btEitQWrZs6ejouGPHDrGmTp8+7enp2aZNG2VlZV1d3X79+m3dulUoFIo1NWvWLLE3hoeHGxgYEATx9evXdu3a9ejRo7y8XLTCihUrOBxORkaGrHMHAAAAclNiOwDFlJaWJpboVObp06fGxsayts/lck+ePEkQBEmSubm5mzZtGjt2bHl5+fjx48UqUHXevXuXmJjo4+PD4XDGjBlDlUdERCxZssTW1nbu3LkGBgb5+fkHDhzw9fVNTk7ev38/n8+nqvF4vJUrV/r6+pqZmVWMpEmTJtu2bXNwcIiKioqKiqIKHz9+PHfu3ODgYDc3N1lnDQAAAOSGxK5B4nA4Tk5O9J+enp4tWrTYsWMHndiJVSAIwsvLq3v37nPmzKESu3379i1ZsmTatGkxMTF0HT8/v8TExMDAwMjIyMWLF1OFNjY2hYWFkydPPn/+PIfDqRgMlRouWrRo8ODBPXv2FAqFfn5+RkZGy5cvr+HZBgAAAKlwKlYR8Hg8Pp+vo6MjvU7Pnj2zs7OpM63R0dGGhoYVc6+AgABXV9fY2Nji4mKqpLS0dN26dZmZmYmJiZU1Pm/ePBsbm3Hjxn379m358uXXr1/ftm2burp6tecMAAAAZIDErqEqLy8vLy8vKyvLyckJDQ0tKCiYPn269Lfcv3/f2NiYy+UWFBRcv37dxcWFPt8qysvLq6Cg4PLly9SfAoHAzs7O398/LCwsLy9PYss8Hm/79u3v37/39vaeP3/+/Pnzra2tqzmDAAAAICskdg2SQCDg8/l8Pl9ZWdnQ0HDTpk2JiYk9e/YUrVMu4tWrV+Hh4ZmZmSEhIQRBvHnzRigUtmvXTmLjHTp0IAji1atX1J8kSRIEsXTpUoIgQkNDKwupbdu2y5YtS09Pb9++fXh4eA3NKAAAAMgA19g1SDwejz6i9uXLl8zMzIkTJ2ZmZq5evZoqpDI/0be0adNm+fLl1FE96lI5ZWVliY0XFRXRdWi6urrR0dETJ04MCAjo06ePxDceOnRIXV390aNHN27cwBE7AACAuofErqESzZz69evXqlWrSZMmeXt79+rVi/jfzC8nJ2fkyJHBwcEzZ86kSvT19Xk83uPHjyW2/OzZM4IgTExMxMoDAgISExODg4OzsrIqvmvdunWHDh06d+5caGjouHHjsrKy1NTUqjuTAAAAIAucilUQFhYWBEHcvn2bLqFHy/Pw8Jg6derChQvv3r1LTdLQ0LC1tU1LSyspKanY1IEDB5o1a2ZjYyNWzuFw1q9f//DhwxUrVigp/c9PggcPHsycOXPWrFm2trZJSUnZ2dk4GwsAAFD3kNgpiCtXrhAEoa+vL3HqokWLWrVq5efnR4+uFxYWlpubO3XqVOoSOtq2bdsyMjJmzpypoqJSsR1zc/OQkJCoqKjc3Fy6sLS0dMyYMR06dIiMjCQIokOHDosXL46NjaUH0gMAAIC6gVOxDRJJkmfOnKFeFxUVXb16ddmyZc7Ozi4uLhLra2horF271t3dPTo6OiIigiCIwYMHR0ZGRkZG3r5929/f39jYOC8vLz09fc+ePV5eXrNnz66s68jIyOTk5KSkpBYtWlAl4eHh9+/fv3btGn3RXkhIyL59+/z9/e/cudO0adManHEAAACQAkfsagWPx2NYU+ycJkNCodD5P3766afdu3fPmjUrNTVV4vAllMGDB3t5eUVFRdEnZOfPn3/27FlDQ8MFCxYMGzYsJCTk06dPO3fu3LVrl5T4NTU1Y2JiysrKqD+PHz++atWq+fPnd+vWja7D5XI3bdqUl5c3ZcoUOeYOAAAA5MMROxMHEgUFBcXGxlZ2G2lFmZmZr1+/rrKaqqqqm5sb8ywQGiIfHx9NTc24uDi2AwEAAMWHU7G1wtbWlu0QAAAAoNHBqVgAAAAABYHEDgAAAEBBILEDAAAAUBBI7AAAAAAUBBI7AAAAAAWBxA4AAABAQSCxAwAAAFAQGMeuVuTl5X358qXKasrKygYGBnUQDwAAADQGOGJXK0xNTdszYGhoePXqVVkbnzBhAuc/uFyunp6enZ3d9u3bJVagtGzZ0tHRcceOHWJNnT592tPTs02bNsrKyrq6uv369du6datQKJS12oQJE8Sejfb161crKysjI6Ps7GyJFQiCSE9P53A4a9asESt//vy5urq6j48PPS+zZs0SqxMeHo6cGAAAQAyO2NWKwsLCFT36W+m2ll7N+ei2wsJCOdrncrknT54kCIIkydzc3E2bNo0dO7a8vHz8+PFiFag67969S0xM9PHx4XA4Y8aMocojIiKWLFlia2s7d+5cAwOD/Pz8AwcO+Pr6Jicn79+/n37sLMNqooqLi4cMGfLmzZtz584ZGxtXNhdDhw4dOXLknDlzRowY0br1f5fVlClT1NXVV61aRf3J4/FWrlzp6+trZmYmx7ICAABoPJDY1ZYWqupGGk1qqXEOh+Pk5ET/6enp2aJFix07dtCJnVgFgiC8vLy6d+8+Z84cKrHbt2/fkiVLpk2bFhMTQ9fx8/NLTEwMDAyMjIxcvHgx82qiysrKRo4cee/evbNnz3bo0EH6jMTGxnbu3DkkJGT37t1USUpKSkZGxtatW/X09KgSGxubwsLCyZMnnz9/nsPhMH2UTLgAACAASURBVF9KAAAAjQ1OxSoCHo/H5/N1dHSk1+nZs2d2djZ1CjU6OtrQ0HD58uVi1QICAlxdXWNjY4uLi5lXowmFQl9f34sXLx49erRLly5VRt6qVatly5alpKQcPnyYIIivX79Onz594MCBY8eOpeuUlpauW7cuMzMzMTGxygYBAAAaMyR2DVV5eXl5eXlZWVlOTk5oaGhBQcH06dOlv+X+/fvGxsZcLregoOD69esuLi4ST6R6eXkVFBRcvnyZYTXRwp9//vnAgQMZGRlWVlYMZyQwMNDZ2fnnn38uKiqKiIj48uVLXFycaAWBQGBnZ+fv7x8WFpaXl8ewWQAAgEYIiV2DJBAI+Hw+n89XVlY2NDTctGlTYmJiz549ReuUi3j16lV4eHhmZmZISAhBEG/evBEKhe3atZPYOHX+9NWrVwyr0SXh4eFxcXHdu3cXi6RK8fHx79+/9/b2Xrt27eLFi8UuyyNJkiCIpUuXEgQRGhoqU8sAAACNChK7BonH4137jxMnTkyfPn3ixInTpk2jK9CZH8XIyGjr1q3Lly+njupRV6opKytLbLyoqIiqw7Aa3eOWLVuWLl166dKlmTNnyjQ7pqam8+fPT0tL69Gjx9SpUyXW0dXVjY6OTkpKunDhgkyNAwAANB64eaKhsra2pl/369evVatWkyZN8vb27tWrF0EQPB6PPkmak5MzcuTI4OBgOt/S19fn8XiPHz+W2PKzZ88IgjAxMWFYjfqTy+X+888/rVu35nA4oaGhXbp0mThxIvPZGTVqVHh4+MiRI7ncSn9sBAQEJCYmBgcHZ2VlMW8ZAACg8cAROwVhYWFBEMTt27fpEuv/8PDwmDp16sKFC+/evUtN0tDQsLW1TUtLKykpqdjUgQMHmjVrZmNjw7Aa9SeHw6GGLPntt998fHx++eWXs2fP1uw8cjic9evXP3z4cMWKFRVHxQMAAAAkdgriypUrBEHo6+tLnLpo0aJWrVr5+fmVl5dTJWFhYbm5uVOnTqWuYKNt27YtIyNj5syZKioqzKuJSUhIMDc39/T0pI7q1SBzc/OQkJCoqKjc3NyabRkAAEAB4LBHbbn7+UOVdcSyJeZIkjxz5gz1uqio6OrVq8uWLXN2dnZxcZFYX0NDY+3ate7u7tHR0REREQRBDB48ODIyMjIy8vbt2/7+/sbGxnl5eenp6Xv27PHy8po9ezb1RobVxKipqaWmplpbWw8ZMuTSpUtNmjShYj5y5IhoNVVVVbHB9piIjIxMTk5OSkpq0aKFrO8FAABQbEjsasUPP/wQl/OQyHkovZpu8+YtW7aUo32hUOjs7Ey9VldXNzY2njVr1owZMySOS0IZPHiwl5dXVFTUsGHDqEc4zJ8/39nZefXq1QsWLMjLy9PS0rK0tNy5c6eXl5foOMAMq4kxNDTcs2dPv379Ro8efeDAASrmQYMGidbR19fPycmRdd41NTVjYmI8PT1lfSMAAIDC48h90KhRCQoKio2Nrez+UAApfHx8NDU1xQbnAwAAqA24xg4AAABAQSCxAwAAAFAQSOwAAAAAFAQSOwAAAAAFgcQOAAAAQEEgsQMAAABQEEjsAAAAABQEEjsAAAAABYEnT9SKLVu2vH37tspqfD5/0qRJmpqadRASAAAAKD4SGJg0adL379+Z1+fz+U2MNHQ7N5P+jyCIU6dOyRpMYGAgQRAjRoyoOCk6OpogCDs7O7HyhIQEgiAsLS0lNhUaGipWHhYWpq+vT9fh8XgV+xo2bBhdR0pH48ePl7L6SZ9aI/Gzztvbe9KkSWxHAQAAjQKO2NUKkiR7R3Rr01NPerUky3RSrke6qaurHzhwIDc3t0WLFqLlmzZtUlNTq1g/Pj6+W7duWVlZWVlZlpaWopN4PN7KlSt9fX2pB8hWU8WOZs6cOXr0aGpqbGzskSNHDh06RNfX19eXMrXu4wcAAGjQkNg1SGZmZv/+++/mzZtDQ0PpwszMzIcPHzo7O5eWlopWvnXr1rVr106dOuXv779hw4a1a9eKTrWxsSksLJw8efL58+c5HE51opLYkbm5ubm5OVUhNTWVw+G4urqKvkv61LqMHwAAoKHDzRMNUnl5+dChQzdu3ChamJiYaG1t3bJlS7HKcXFxJiYmTk5Ofn5+O3bsKCoqEp1aWlq6bt26zMzMxMTEakYlvaNaarYG4wcAAGjokNg1SAKBYOzYsY8ePbpw4QJV8u3bt927d48dO1bs3G5RUdGOHTsCAwM5HE5AQEBBQUFKSopYU3Z2dv7+/mFhYXl5eZX1WFiBQCCQqSP51FT8AAAAjQESu4aqb9++RkZGGzZsoP5MSUkpLi729vYWq7Zr167CwkJ/f3+CIIyMjFxcXOi3UKhEcOnSpQRBiJ7YFSUQCLQqOHjwoEwdyadG4gcAAGgkkNg1VFwud9y4cSkpKV+/fiUIYuPGjW5ubnp64rdrxMfHu7m56evrU39OnDjxwoULDx8+FKumq6sbHR2dlJREHwIUxePxzldgb28vR0eyqpH4AQAAGgncPNGA+fn5LV68eOfOnX379r1w4cLevXvFKty5c+fKlSsEQYjdVbBhw4bly5eLVQ4ICEhMTAwODs7KyqrYV58+fcRKdHR0nj17JkdHzNVg/AAAAI0BErsGzNTU1M7Obvv27W/fvtXR0XF3dxerEBcX16ZNG7EBRNauXbtly5Y//viDz+eLlnM4nPXr11taWq5YsUJJSbYVQ6aOaqnZ6sQPAACgGHAqtmHz8/O7dOnSzp07x4wZo6ysLDqpuLh4+/bto0ePtvhfkydP/vDhQ1paWsXWzM3NQ0JCoqKicnNzmccgR0e11Kx88QMAACgMHNioLbfiHz3a80J6HflGJxbl5eUVEhLy+PHjbdu2iU1KTk7+/PlzxdspLC0tO3XqlJCQMHLkyIoNRkZGJicnJyUliQ19LIV8HdVSs3LEDwAAoDCQ2NWKiIgIJs+KVQpW6tq1a3U6atKkyfDhw//5558ePXqITUpISOjYsaOVlVXFd3l7e0dGRmZnZ1ecpKmpGRMT4+npyTwGJh0ZGxszb5B5sxUnyRE/AACAwuBU/6BRYxAUFBQbGyt2rhOACR8fH01Nzbi4OLYDAQAAxYdr7AAAAAAUBBI7AAAAAAWBxA4AAABAQSCxAwAAAFAQSOwAAAAAFAQSOwAAAAAFgXHsAAD+X3l5eUFBwZcvX4RCYVFR0ffv30tLS799+0aSpEAgkPioOmVlZQ0NDVVVVTU1NTU1NVVVVQ0NDQyNBABsQWIHAIqPJMnc3Nzc3Nw3b968f//+3bt3b9++zc3N/fz58+fPn798+UK9+PbtW410p6qqqq2traOjo62tTb9o3ry5gYFBy5YtDQwMWrVq1bx58xrpCwBAFBK7WjFkyBAmT57g8Xg7d+5s166dHF2cPn3677//vnTp0sePH7W0tCwsLPz8/Hx8fLjc/z+97uHhcf369ZycHLE3TpgwYdu2bSUlJdTrjRs3Smz/+PHj/fv3Z1ghNDR06dKlolPDw8O3bdtG93737t3ly5efOXPm3bt3XC63ffv2o0aNCg0NVVFRkWPeASpTXl7++vXr58+fv3jxgv7/+fPn7969Ky8vr7MwSkpK3r59K30noKKi0qpVK319/bZt27b7j7Zt2+rr69NbMQCArJDY1YojR46o9fTit2grvVp+6pIXL17IkdhFREQsWbLE1tZ27ty5BgYG+fn5Bw4c8PX13bNnz549e/h8PvOmuFzuoUOHKpZ3796dYQUej7dy5UpfX18zMzOJXdy+fdvBwcHc3Hzp0qVt27b99u3b0aNHFyxYcOPGjb179zIPFUBMUVHRw4cPHz58eP/+/UePHt2/f//JkyelpaVsx8XI9+/fs7Ozs7OzMzMzRctVVFRMTEx+/PHHH3/80czMjHqhqqrKVpwA0LAgsastmtbD1DrZS6+Tn/qHHC3v379/yZIlU6dOXb16NV3o5+eXmJgYGBi4cOHCqKgo5q1xOBxXV9fqVLCxsSksLJw8efL58+c5HE7FCmvWrBEIBMeOHVNTU6NKnJycmjZtumvXrnfv3rVq1Yp5tNDI5eTk3Lhx48aNG1lZWbdu3crOzla8hyJ+//790aNHjx49Sk1NpUp4PF7btm27dOnStWtXKysrKysrAwMDdoMEgHoLiV3DEx0dbWBg8Ndff4mVBwQEJCcnx8TEzJkzpy5/35eWlq5bt87e3p7KLCVW4PF4YoXh4eHh4eF1EiA0YO/fv7906dKVK1eofC43N5ftiFggEAiePHny5MmTtLQ0qqRly5ZW/9GjR482bdqwGyEA1B9I7BqYgoKCa9eu+fn5STzfOmrUqGPHjl2+fNnJyYl5m9T1dqK4XK7obX3SKwgEAjs7O39//7CwMA8PD11dXbHKHh4eSUlJTk5Os2fP7t+/v6amJvPYoLERCAT37t3L/I+nT5+yHVF99P79+4yMjIyMDOrPtm3b2tnZ2dnZ9enTp3PnzrhED6AxQ2LXwLx580YoFFZ2Wd4PP/xAEMTLly+ZNygQCOgzpDQ7O7sLFy4wrECdC1u6dGlaWlpoaGhiYqJY5WHDhm3atCkiImL48OFKSkqWlpZOTk6jRo2ytLRkHicoMKFQeOvWrZMnT546derixYtfv35lO6IGhrpBZNu2bQRBaGtr29ra2tvb9+vXz9LSEkkeQGODxK6BobKoym4mLS4ulrVBHo9Hp2i0Jk2aMK9A0dXVjY6OnjhxYkBAQJ8+fcSm+vn5jRs37sKFC+fOnTt//vyqVauWLl0aGBiYkJAg8bI8aAweP3586tSpkydPnj59Oi8vj+1wFMSnT58OHTpE3fCko6PTt2/f/v37DxgwQL677wGgwUFi18BQQyE8efJE4tTnz58TBGFiYkIQBI/Hk3h7YHl5udhp3F69eknvtMoKlICAgMTExODg4KysrIpTeTyeo6Ojo6MjQRCfP3+eNm3axo0b3dzcRowYwaRxUAwlJSVnzpw5ePDg1q1bcWSutuXn51N3yhME0a5duwEDBri7u/fr16/iMXgAUBg4St/AaGlpWVlZHThwQGLSlpGR0bRpUxsbG4IgWrZs+eHDh4rfnU+ePKmlW+o4HM769esfPny4YsUK0TH6P378KHY8plmzZjExMQRB/PPPP7URCdQ3b968SUhI8PDwaN68uYe7+509B8xVxQ/6Qq169uxZXFzckCFDmjdv7uHhsWHDhnfv3rEdFADUPCR2Dc+MGTPevHkTGhoqVr5///60tLSQkBDqllg3NzeCINasWSNa5+jRoxcvXqy9g2Tm5uYhISFRUVH03YufPn0yMjL6+eefxWreuHGDIAh9ff1aigTqg6dPn0ZHR1tbWxsYGMybNkP19r8rujpkuQdu7jMkuKMV29E1UkVFRWlpaRMnTtTX1+/Vq9eSJUsePXrEdlAAUGNwKrbhGTNmzJkzZ1avXv3gwYOAgABjY+O8vLz09PTExEQ3N7eIiAiqmru7+8iRI+fOnfvkyRMXFxcej3fx4sX169dbWFiIjjNCkuSRI0cq9mJoaNilSxcmFcRERkYmJycnJSW1aNGCIAhtbe1FixbNnDmzoKBg/PjxBgYGRUVFV65cWblyZYcOHcaNG1cjywTqlX///XfPnj0pKSk3btxop9XMTd90vvNPZtp6oldT9mjeWl2JX1RexlqUjZ5QKLxy5cqVK1ciIiIsLCy8vLy8vLzat2/PdlwAUC1I7GoFn89/GzOKYU052o+Li3NyclqzZs2kSZMKCgr4fL61tfW6desCAwNFb4LbtWvXunXrtm/fnpaWVlhY2L59+1mzZs2aNUtDQ4OuIxQKBw0aVLGLwMDADRs2MKkgRlNTMyYmxtPTky759ddfO3XqtH79+tDQ0NzcXC6X265du4kTJ86aNUtLS0uO2Yf66dWrV9u3b09OTr5582Z7LW03g/ZL+o/u1FR8+BuKMpfXq3mbU++y6zhIkOjmzZs3b96cM2eOtbU1leEZGxuzHRQAyIOjeOO214agoKDY2FjRod2ku337NpORVPl8vr29fTXHIxg4cODNmzdfvHiBC6LrJx8fH01Nzbi4OLYDqS2FhYX79u3bsmXL6dOnjdSbDDPs4GZg+kMTnSrfuPnp7cib5+sgQpAVh8NxcHDw8/MbOXIkBp4EaFhwxK5WdO3atc76ioiIcHZ2Hj58+Lx58zQ0NCwsLOqsa2jMhELhqVOntmzZsm/fPqWycneDDrsdhlvpyvCAOMeWRrUXHlQHSZJnz549e/bs1KlTPT09/fz8HB0dMTIRQIOAmycaPAcHh127dr169apv376iJ0ABasnbt28XL17crl27QQMHvj1xYZm5/dXB/ou6O8qU1REEYaLZzFAD98bWa4WFhZs3b3Z2dm7fvv2CBQtev37NdkQAUAUkdorgp59+unfv3vfv3/H8Jag9JEkeP3585MiRxsbGCX8u826if8XNL8HWbZB+e2Wu+LOAGcJBu4bi+fPnkZGRJiYmI0aMOH78OK7hAai3kNgBQBXy8vKWLl36ww8/uLm6Fl2+uanXoNMDx076obuOSnUv63RAYteglJeX79+/38XF5YcffoiOjv748SPbEQGAOCR2AFCphw8fBgcHGxkZrV6wyEOleeag8Wt7udq1MKypi6166+kr4WGmDdCTJ0/Cw8ONjIwCAwPv3r3LdjgA8F/YpQKABBcuXPDy8jIzM7uYvHdhZ9szrmN/6WSlp6pes71o8pUtdWS7Mg/qj+Li4sTExK5duw4aNOjEiRNshwMABIHEDgBElZaWbtq0qWvXrk4OjiWXb+51GJ7e12uEcUclTm3tKxxb4Wxsw0aNYT5gwIBu3brFx8eXlJSwHRFAo4bEDgAIgiCKi4tjY2NNTU2nBwXbfuefHzRutY1LN52Wtd0vLrNTGLdv3w4KCjI1NV2xYsW3b9/YDgegkUJiVytyc3OfMZCdjWH3gX2FhYUxMTGmpqbzQ2eN0Gx1znVcuHnv1mp1NCxtl2Z6utW+CQPqj9evX8+cObNt27bR0dEFBQVshyPNp0+ffvvtN2NjYxUVlbZt23p4eFy+fFm0QnZ2dmBgoL6+vrKysrGxMfVoROltPnv2bNKkSe3bt1dRUdHT0/Pw8Lh69WptzgSAOCR2tcLU1LQ9AyYmJmL7EYbu3r3r5+dnYmKiqqqqrq5ubm6+aNGi79+/EwTh5+fHqRzdwoYNGzgcjpXVfx/EXuUbJ0yYUNlU6vIaqsKsWbPEog0PDzcwMJA4I6tWreJwOA8fPmQya1QXSkpVjKpdcdbo91YZnug88vn8Nm3auLu7JycnK+rgDvn5+fPnzzcyMvpz9twJeu0uDho/vbNNU2WVuoyBQxD2OGincD58+EBtWeHh4Z8+fWI7HAny8/MtLS3/+usvc3PzsLAwOzu7Q4cOOTs737lzh6rw/Plza2vrTZs22dnZzZs3r3PnzitWrHBxcSkrq/QBx48ePbKxsdm8ebOtre3s2bMHDhyYkZHRp0+fS5cu1dVsAeDJE7WjuLhYP2Gjeq/e0qv9282sqKhI1sZv377t4OBgbm6+dOnStm3bfvv27ejRowsWLLhx48bevXtnzpw5evRoqmZsbOyRI0cOHTpUsZH4+Phu3bplZWVlZWVZWloSBMHkjVwuV2Jr3bt3p17weLyVK1f6+vqamZnJOl9VzhrDRirOGo1JeFwu9+TJkwRBlJWVvXr1Ki0tbfTo0dTzFVRU6jTjqVUFBQUrV65csWJFs3JiVkdLT+OOfHnHoqs+x5aGqS8fsdU71J6vX79GR0fHxcVNmzbt119/bdq0KdsR/dfvv//+4sWL2NjYKVOmUCUjRozw9PQMDw+n9nJz5sz5+PFjQkLChAkTqArTp0+PiYlJSEj4+eefJbY5derU/Pz8M2fOODg4UCWenp4jRoxYtWpV795VfB0A1BQkdrWFq6HBq5292Jo1awQCwbFjx+iHwzo5OTVt2nTXrl3v3r0zNzc3NzenylNTUzkcjqurq1gLt27dunbt2qlTp/z9/Tds2LB27VqCIJi8UWKhKBsbm8LCwsmTJ58/f16OBxBJn7VWraq+fVLirMkUHofDcXJyov8MCAhITk729vb+9ddf16xZI+sc1UOlpaVJSUm///475+u3kB8sfNqZyT28cE1xaGnE5XCECnpYFD5//hwVFbVmzZrw8PBffvmlnjzVms/n9+vXLygoiC4ZPny4mpravXv3qD8zMjLatGkTGBhIV4iMjIyPj9+6dWtliV3Pnj2tra3prI4giKFDh/L5/EeP8LsF6g5OxTY8paWlPJ74N3F4ePjNmzeZpD4EQcTFxZmYmDg5Ofn5+e3YsUOOo4ZSYlu3bl1mZmZiYqJ8b6/VWZMvvFGjRvn5+cXHx3/48IH5u+qhsrKy+Pj4du3ahU8L8dNrd3qgj79pN9azOoIgdFTUOjdtznYUULvy8vJCQ0M7dOgQHx9fXl7OdjjEypUrT5w4wefz6ZLS0tLy8nLqwoxv3759/frV1NRU9Bdgs2bNOnTokJWVJRAIJLa5cOHCJUuWiJa8e/eurKysbdu2tTMTABIgsWt4PDw8vnz54uTklJqaWlhYKOvbi4qKduzYERgYyOFwAgICCgoKUlJSmL+9pILS0lJ6qkAgsLOz8/f3DwsLy8vLkzW22p41ucPz8vIqLy8/c+aMrCHVEyRJpqSkdOrUadbUaWOaGV5w9Z3c0VKVV48O2OPe2Ebi9evXQUFBZmZmW7ZsEQqFbIfzP+Li4srKyqgrUtTU1JSUlCo+WkNdXb20tPTt27dVtlZUVHTmzBk3NzctLa2IiIhaiRhAEiR2Dc+wYcM2bdqUk5MzfPhwbW3tnj17hoWFZWVlMXz7rl27CgsL/f39CYIwMjJycXHZsGEDw/cKBAK1Cvr27UtXoG4yWLp0KUEQoaGhss1Y7c+a3OGZmJgQBPHmzRvmb6k/rl69am9vP27MGBd+s3Ou437pZKWuxK/6bXULiV2j8ujRo/Hjx/fu3bv+3FVw9uzZ0NDQPn36TJ48mSAILpfbu3fvBw8e0PdSEATx6NGjf/75hyCIKn92NmvWTENDw9nZuWvXrjdv3rS2tq7V4AFEIbFrkPz8/F6+fHnmzJnff/+9adOmq1atsrKymjBhApObN+Pj493c3PT19ak/J06ceOHCBdH7UqXg8XiXKoiPjxerpqurGx0dnZSUdOHChXo4a3KER90HJ3rWpkHIyckJCgrq3bu3yrPXxwZ4h5n1bsKvp/d/WOm20uIrsx0F1KmrV6/26dPH29v71atX7Eayc+fOgQMHmpmZpaWl0ffdL1iwgCTJoUOHpqamPnr0KDk52c3NzcjIiCCIKu+jCg4OnjRpkq2t7Y4dO8aPH//s2bNanweA/6hH52JAJjwez9HR0dHRkSCIz58/T5s2bePGjW5ubiNGjJDyrjt37ly5coUgCLFbBzZs2LB8+XIm/fbq1YtJtYCAgMTExODgYObH22h1MGuyhkdlhw3oQpnCwsI//vhj5cqVndSapDgMt9St74/tUuJye+sZHHuD77/GRSgU7ty5MzU1ddq0aREREVpaWnUcAEmSkZGRUVFRrq6uu3fvFg3A2dk5NjY2LCxs+PDhBEFoamouXLjw+vXrT58+1dbWlt7sH3/8Qb04c+aMu7v78OHDb9y4wcVjkaFOYD1reD5+/Ch2fVizZs1iYmIIgqBOE0gRFxfXpk2bG/9r4sSJW7ZskTI4kxw4HM769esfPny4YsWKKkeeo9XZrMka3tatWzU1Ne3t7RnOCLt2797dqVOnzatio83t9zqPrP9ZHcWhpSHbIQA7iouLo6OjO3fuvH379rocM5IkyQkTJkRFRU2dOvXgwYMV08opU6a8e/fuzJkz586de/PmzfTp0x88eNC6detmzZox7MLJyWnYsGG3b9/GjbFQZ5DYNTCfPn0yMjKqeLP9jRs3CIKgz0JKVFxcvH379tGjR1v8r8mTJ3/48CEtLa1mQzU3Nw8JCYmKisrNzWVSv45njXl4CQkJ6enpv/76q6ZmHT2MQW5PnjwZNGiQz5gxA9R0jw0YM8Swg8xDzrAHl9k1cjk5OWPHju3bty/DK0Oqb8aMGYmJiUuWLFm9enXF+/EJghAIBFpaWo6Ojvb29lpaWi9fvrxx48aAAQMktvb69etu3br5+vqKlVMPz8Uz1qDO4FRsbSm+cln45UsVlWT/baqtrb1o0SLqyTbjx483MDAoKiq6cuXKypUrO3ToMG7cOCnvTU5O/vz5s7e3t1i5paVlp06dEhISRo4cWVW85JEjRyqWGxoadunSpWJ5ZGRkcnJyUlJSixYtqpozprNWMQZVVdUXL17IMWsSwyNJkrr7lSTJN2/e7N27d//+/SNGjJg3b16Vs8Ai6pjHn3/+admkeUa/UR2a6LAdkcwMNZqYaDZ7UfiZ7UCATWfOnOnatWtwcPDixYtr9afUvn37YmJiQkJCZs+eLbFCWFjYypUrL1682KNHD4IghELhjBkzSJIMDg6mKpSUlDx8+FBLS6t9+/YEQejr6+fn5ycnJ//yyy89e/ak6jx+/PjYsWOampryjdkOIAckdrWiS5cuL7dsrnJ0uJYtWrRu3VrWxn/99ddOnTqtX78+NDQ0NzeXy+W2a9du4sSJs2bNkn6FSkJCQseOHSs+a4sgCG9v78jIyOzsbGNjYyktCIXCQYMGVSwPDAyUeGutpqZmTEyMp6dnVfP0/5jMWsUY9PX1jY2Nq5w1huEJhUJnZ2fqddOmTS0sLLZu3erj4yPHeMt15uDBg1OmTPmem7fCwsnNwJTtcOTn2NIIiR2UlZWtXr364MGDsbGxbm5utdQL9XRBoVAYHh4uNiksLExbW9vHx+fvv/92cXEZP368jo7OgQMHrl+/HhoaSl9n/OTJk+7du/fr1496piJBELGxsSNHjrS3kybrrwAAIABJREFUt/f09Gzfvv3r169TUlK+ffv2999/q6qq1tKMAIjhKOpDMGtWUFBQbGyssjLu2gOZ+fj4aGpqxsXF1UbjHz58CAkJ2b0rOcC06/TONvVwHBOZnHqXHXjxINtRQD3y008/rV69muH45DKR8lPt+fPn1AhHly9fjoyMvHbtWlFRUefOnadMmUKNpkS5e/euubm5aGJHEMSVK1f+/PPPixcv5ufna2lpWVtbT5s2bciQITUeP0BlcMQOoKFKSUn55ZdfdEqFe51GdNNpyXY4NaBX8zbKXF6pUPKw/tAIpaSknDx5MiYmZuzYsTXbMpODGr169ZJ48QnFzMysYiM9e/bcv39/dYMDqAbcPAHQ8Lx9+3bEiBHeo0d76hge6PuTYmR1BEGoK/GtdWW+OAEUW35+/rhx49zc3HJycmR974MHD/T09J4/f14bgQHUT0jsABqY+Pj4Tp06vTx36XD/0WFmvfn14GGvNcixFe6NBQkOHz5sZmYWHx/P/PKh4uLiMWPG9OrVizqvCtBIILEDaDDev3/v7u4+/edfZrTttttxhKlWFaOkNkQY9AQq8+XLl6CgIHd399evXzOpHxwc/OnTp6SkpPp85xNAjUNiB9AwHD58uHv37q8yrx3o5+Vn2pWroN9VHZvqtlTVYDsKqL8yMjK6deu2b98+6dUSEhJ27dq1d+9eXV3dugkMoJ5AYgdQ3xUUFAQFBQ0Z7D6sSes9TiPaK+KBOhqHIOzxCAqQKi8vz9PT09fXt7CwUGKFO3fuTJ8+fcWKFdbW1nUcGwDrkNgB1GsXLlzo1q3bsR27U5yGK94VdRLhbCwwsXXrVnNz84sXL4qVFxYWenl5ubu7V3yMDUBjgMQOoJ4SCoVLlixxdnbuRagf6ufVXadhPPK1+vq0NOQp6IlmqFkvXrxwdnZevHixQPDfIXKCgoIEAkFCQgKLgQGwCIkdQH304cMHd3f3JfMj/7Lsu8TSqaGPPCwTbWVVM+2qn0EHQBBEWVnZ3LlzBwwY8O7dO4IgVq9evW/fvt27dzdp0oTt0ADYgcQOoN45c+aMhYXFq0vXD/UbNdSwA9vhsMABl9mBLE6fPt2tW7e///47NDR07dq1FhYWbEcEwBokdgD1CEmS0dHR/fv3d1TR3uvsaazZlO2I2IHL7EBWubm506ZN69y58/jx49mOBYBNSOwA6ou8vLyBAwf+8fv8NTYuSyydlBvBfRKVsdBp2YSvwnYU0MCQJHnz5k0XF5f379+zHQsAa5DYAdQLN2/e7NGjR87VG+l9vQa2acd2OCxT4nDtWhiwHQU0SCdPnrSxsbl27RrbgQCwQ4ntABqMT58+KSsrsx0FNDylpaVV1tm5c+eECRP66er/6TSiUd0nIYVDS6PDr5+yHQU0SC9fvnRwcIiPjx83bhzbsQDUNSR2TLVq1VgGm4AaFxISUtmk8vLyuXPnLl+67LcuPSd3tKzLqOo5Jzw0FqqhpKTE19f3woULf//9N5+PH0vQiHCYP1C5Mfv48ePXr1/ZjgIaqtatW6upqVUs//jx408//XT70pW/ew7sradf94HVcy7Hd/77NZ/tKKBhc3R0TElJ0dPTYzsQgDqCxA6AHQ8fPnR3d1fN+xrfe1AbdS22w6mPFt2+sPHfW2xHAQ1e+/btU1NTzczM2A4EoC7g5gkAFpw8ebJ3796G38p3OXggq6sMBj2BGvH06VNbW9sjR46wHQhAXUBiB1DXNm7cOGjQII/mRhttB2vycUdOpXo211fl4TpgqAEFBQVDhgyJj49nOxCAWofEDqDukCQZGRkZNHHS3C6953ez5+KJqFKp8Hg2zduwHQUoiPLy8qCgoJCQEKFQyHYsALUIiR1AHSkpKfH09Fy55M/Nfdx925uzHU7DgLOxULNWr17t5eVVXFzMdiAAtQWJHUBd+Pz5s4uLy5WjJ/Y6e9q1wINQmcJDY6HG7d27d8CAAXl5eWwHAlArkNgB1Lq3b986Ozu/u3Vvj9MIUy1ttsNpSDo00cHNJVDjLl68aG9v/+rVK7YDAah5SOwAatfTp0/t7e2Jl2+THYa3VtNkO5yGxx4H7aAWPHjwoE+fPo8ePWI7EIAahsQOoBZdu3atd+/eJkWCnQ4e2iqqbIfTIDniMjuoHS9fvrS1tb1y5QrbgQDUJCR2ALXl5MmTzs7OfTX14nq7YdgOudm1MOBxsKeCWpGfn9+/f//jx4+zHQhAjcHuEqBWZGRkuLu7++j/8IelMw/DmlRDE75Kd52WbEcBCquwsHDo0KHp6elsBwJQM5DYAdS8gwcPenp6+hl3nm1ui5yu+nCZHdSqkpKSkSNHpqSksB0IQA1AYgdQw3bv3j1ixIjgdl3DzHqzHYuCwGh2UNvKysrGjBmzbds2tgMBqC4kdgA1aceOHWPHjg37see0H3uwHYvi6KrdQkdFje0oQMEJBAJ/f/8tW7awHQhAtSCxA6gxiYmJvr6+881sAzt0YzsWhcLlcOxaGLAdBSi+8vLywMDAzZs3sx0IgPyQ2AHUjK1bt06aNGlxNwefdmZsx6KAcDYW6gaV261bt47tQADkhMQOoAbs3bs3MDDwd3O7UW07sx2LYnJsaYTbUKBuCASCadOmbd26le1AAOSBxA6gulJTU8eMGTOzk7Vve3O2Y1FYeqrqPzTVZTsKaCzKy8v9/f13797NdiAAMkNiB1AtR48eHT16dMgPVkE/WLIdi4LDIyigLgkEgnHjxh06dIjtQABkg8QOQH4nTpzw8PAIbt/tl05WbMei+HCZHdSx0tLSn3766cyZM2wHAiADJHYAcrp27drw4cPHG3UOwcgmdaJH89bqSny2o4DGpbi42N3d/eLFi2wHAsAUEjsAeTx58mTIkCH9dfTDzDEKcR1R5vJ6NW/DdhTQ6Hz79m3o0KF3795lOxAARpDYAcjszZs3AwYM6MJVW2bdF7dq1iWHVjgbCyzIz88fNGhQTk4O24EAVA2JHYBsvnz54ubmpv21ONbGRYmDLahO4TI7YEtOTo6rq+unT5/YDgSgCvhaApABdcFNyYucpD5DcL1X3Wur2cxQownbUUAjde/ePQ8Pj5KSErYDAZAGiR0AU0KhcOzYsS+ybm3uM6QJX4XtcBopHLQDFp07d278+PFCoZDtQAAqhcQOgKnw8PBjBw5usB3cUlWD7VgaL4eWhmyHAI3a7t27f/vtN7ajAKgUEjsARhITE1f+9de6Xq4d8fwDVtm1MFTiYscFbFq5cuXatWvZjgJAMuwfAap29uzZ4ODg+d3s+7TA4SKWaSjxLXVasR0FNHbTp08/ceIE21EASIDEDqAKDx48GD58uJ9Jl7HtzNiOBQgCl9lBPVBWVubl5fX48WO2AwEQh8QOQJqPHz8OHjzYRk07zAwDEdcXjhjNDuqBT58+DR06FAOgQH2DxA6gUuXl5aNGjVL/VLjSZgCXg6GI64vOTZvrqqixHQUA8ejRIw8Pj9LSUrYDAfgvJHYAlQoNDc26kLm2l6saT4ntWOC/uByOPc7GQv1w7ty5X3/9le0oAP4LiR2AZNu3b4+NiYmxGWCEEXHrH0cMegL1xpo1azZv3sx2FAD/j0OSJNsxANQ7N2/etLOzm9nBMsC0G9uxgAT534t7HNokxO4L6gdVVdULFy5YWVmxHQgAjtgBVJCXlzdixAiX5gbI6uotHRW1zk2bsx0FwP8rKSnx9PTMy8tjOxAAJHYA/0soFI4ePVrjU+Efls5sxwLSYNATqFeys7PHjBkjEAjYDgQaOyR2AP9j0aJFV8+eX9PLVRU3TNRvSOygvjl+/PjixYvZjgIaO1xjB/BfZ8+e7d+/f6z1AFf9dmzHAlUoFwotD24sKMNIE1CP8Hi8jIwMFxcXtgOBxgtH7AD+X25urre391iTzsjqGgQlLreXnj7bUQD8D4FA4Ovr+/79e7YDgcYLiR0AQRCEUCgcN26cbnH5bHNbtmMBpnA2Fuqh9+/f+/r6CoVCtgOBRgqJHQBBEMTixYsvnT7zd8+Bylwe27EAU45I7KBeOnbs2F9//cV2FNBI4Ro7ACIzM9PR0XG1df9B+u3ZjgVk0/fo9ueFn9mOAkAcn88/e/Zs7954xjTUNRyxg8bu27dvfn5+noY/IKtriOzxCAqol8rKysaOHfvlyxe2A4FGB4kdNHZTp079/ub9vK592A4E5IGzsVBvPXv27JdffmE7Cmh0kNhBo5aWlrYlafPKHgM0lPhsxwLy6KWnj8siod7avn37nj172I4CGhdcYweNV25ubteuXUfpGM3obMN2LCA/n3NpmR9y2I4CQLLmzZvfuXOnVatWbAcCjQWO2EEjRZJkQEBAi1Lh1E7WbMcC1eLQCpfZQf318ePHSZMmsR0FNCJI7KCR2rBhw6kjR1f1cFHiYito2BxbGrMdAoA0Bw4c2Lx5M9tRQGOBU7HQGL1586ZLly5TjMwCO3RjOxaoLpIgeh9Kel/yje1AACrVtGnT/2PvvuOauvc/jp/ssAJhy0YggDLEjYJ7tFoXaltrl9312tbaWqu3vbXX1i7rqLa1aqu1Va/bOkARcTJUBGSILAFlzwRCEpKQ/P6gP2utEwPfc07ez796Yzx5+Xh4w8fvOed7srKyvLxwrw90OaxVgDmaO3euD1f0on8Y6RAwAQ42PQHaUygUr776KlZSoBtgsAOz8/vvv8cdOvxVv1E8Dod0C5gGni0G9BcfH79161bSFcB+OBUL5qW+vr5Xr17PO/ech3smWKRJq+l/+BcDvs2A3hwcHK5cueLs7Ew6BNgMK3ZgXt58801HrfENWV/SIWBKUqE4VIoflkB3DQ0N7733HukKYDkMdmBGDh06tH/vvm/6j8KdsOwzDJfZARP8/vvvhw8fJl0BbIZTsWAu1Gp17969x/Btl4QNJd0CppfWUDXz1D7SFQD35+3tnZOTY21tTToE2AnrFmAuPvvss9aqmreCB5AOgS4RYe9qJxSTrgC4v7Kysk8//ZR0BbAWVuzALBQWFoaGhq7sM2KChz/pFugqc1OPxlUUk64AuD+BQJCRkdG7d2/SIcBCWLEDs/Dmm28OsHXGVMdu2PQEmEKn07399tukK4CdMNgB++3YsePMyVOf9hlGOgS61ghXDHbAGImJiXv37iVdASyEU7HAckqlMjAwcLqt24Jeg0i3QJcbd3xHYXMj6QqAB+Lp6ZmXl2dlZUU6BFgFK3bAcl9++aWhqfnNwH6kQ6A7RDtj0xNgjBs3bnz11VekK4BtsGIHbFZeXh4YGPhFSNRkzwDSLdAdTtdcf/HcIdIVAA9KJBJlZ2cHBOALCkwGK3bAZh988IFMbDMJU53ZGOzoLubxSVcAPKi2trbFixeTrgBWwWAHrHX+/PmdO3f+O3Qoh3QJdBsRjzfAsQfpCoCHsHfv3qSkJNIVwB4Y7ICdjEbje++994S7X3/8mDcz2PQEGOf999/HZVFgKhjsgJ127tyZlpr6QUgk6RDobsMx2AHTpKamHjhwgHQFsARungAW0ul0wcHBY/m2izDYmaWhcVsrVS2kKwAegkwmy8nJEQgEpEOA8bBiByz0888/116/8bosgnQIkBHtgk1PgGEKCgo2bdpEugLYACt2wDYajSYgIOApW/d5Qf1JtwAZcRXFc1OPkq4AeDguLi5FRUXW1takQ4DZsGIHbLN27VpVXcMc/3DSIUDMUGcPHgdfbsAwNTU169atI10BjIcVO2AVpVLp5+f3Zo/AF/3DSLcASTNO7b3UUE26AuDhODg4lJSU2NjYkA4BBsM/aoFVVqxYwVeqn+nZm3QIEIZNT4CJGhoavvvuO9IVwGxYsQP2aGpq8vHxWRLQ7ymfXqRbgLDLjTVTT+4hXQHw0Ozs7EpKSuzs7EiHAFNhxQ7YY82aNdZ643SvINIhQF6o1NleZEG6AuChyeVyLNrBo8CKHbCEUqn09fWd79l7ds8Q0i1AC2+djz9cXki6AuCh2dralpSUSKVS0iHASFixA5ZYt24dV6ma4R1MOgToYhh2swNmUigUa9euJV0BTIUVO2ADlUrl6+v7eg/ZS9jlBP5fnUY16MhmfMEBEzk4OJSWlmJPO+gErNgBG2zYsEGnaH4a90zALZzEljJbB9IVAJ3R0NCwefNm0hXASBjsgPHa2tpWrFjxakCEJR+PWYS/GY5NT4CxvvnmG51OR7oCmAeDHTDejh07mmvrnsM9E/AP2M0OmOvGjRu7du0iXQHMg2vsgPH69OkzSM1dHDqEdAjQjs7Q3ufQzyo9lj2AkUJDQy9fvszhcEiHAJNgxQ6Y7fjx4zlZ2S/4hZIOAToScHmDHd1IVwB0UnZ2dlxcHOkKYBgMdsBsq1atmujh52aJRyvCnQ1zxdlYYLDVq1eTTgCGwWAHDJafn3/s2DFscQL3gMvsgNESEhJycnJIVwCTYLADBluxYkV/e9dwexfSIUBfvtZ2XlYS0hUAnWQ0Gn/88UfSFcAkGOyAqerr67dt2/ZSAJbr4D6isWgHTLZly5ampibSFcAYGOyAqTZv3mxH8cb08CUdAnSHZ4sBo6lUqi1btpCuAMbAdifASEajMSgoaJJAOi+oP+kWoLtWva7PoU16g4F0CEAn+fj4FBUV8Xg80iHAAFixA0ZKSEgoLiya6RNMOgQYwIov6GvvSroCoPNKS0uPHj1KugKYAYMdMNL69evHu/d0EVuRDgFmwL2xwHQbNmwgnQDMgMEOmKeqqurQoUPP+PYmHQKMgcEOmC42NrayspJ0BTAABjtgno0bN7qJLIc4e5AOAcYIkTo5iCxIVwB0nl6v//XXX0lXAANgsAOGMRgMP//88+yeIXh6Ijw4DjY9AebbtGkT7neE+8JgBwxz8uTJihvlUz1lpEOAYbDpCTDdtWvXTp8+TboC6A6DHTDMr7/+OtzVy0lsSToEGGa4ixeXg3VeYLaff/6ZdALQHQY7YJLW1tb9+/fP8A4iHQLMYy+yCLZ1JF0B8Ej27Nkjl8tJVwCtYbADJtm9ezdPqxvdw4d0CDDScFxmBwyn0Wj27t1LugJoDYMdMMnWrVsneQQIudh+HToDm54AC+zYsYN0AtAaBjtgjLKystOnT0/HeVjorH4OrtYCIekKgEdy8uTJiooK0hVAXxjsgDF27NjhbSnpY+9COgSYis/lRjq5k64AeCQGg2Hnzp2kK4C+MNgBY+zatesJT3/SFcBsOBsLLICzsXAPGOyAGYqLizMyMia6Y7CDR4L7J4AF0tLS8vPzSVcATWGwA2bYuXNnTxu7QFsH0iHAbJ5WEh9rO9IVAI8Ki3ZwNxjsgBl27979hEcA6QpgAzyCAlhg3759pBOApjDYAQMUFBRkZmZO9MB5WDABnI0FFsjOzi4oKCBdAXSEwQ4YYPfu3T1t7GQSe9IhwAaDndyxFSKwwMGDB0knAB1hsAMG+OOPPybgtgkwEUu+YIBjD9IVAI9q//79pBOAjjDYAd1VVVWlpaWNdfMlHQLsEY3L7ID5UlNTq6qqSFcA7WCwA7o7fPiwk8giVOpMOgTYY7iLN+kEgEdlMBhwNhb+CYMd0N3hw4dH9vDhkM4ANgm0dXARW5GuAHhUBw4cIJ0AtIPBDmhNrVafOHFitKsP6RBgFQ7OxgIrnDp1SqVSka4AesFgB7SWmJioU2uGOnuQDgG2wbPFgAU0Gs3p06dJVwC9YLADWjt8+PBQZw9LvoB0CLBNlIsnl4Mz/MB4x44dI50A9ILBDmjt6NGjI1xxnTuYnlQoxh05wAJHjx4lnQD0gsEO6KuoqKi0tBTnYaGL4NliwAL5+fnFxcWkK4BGMNgBfSUkJLhaWPnZSEmHADvhMjtgB5yNhVthsAP6OnHiRJQz1lSgq0TYu9oJxaQrAB5VfHw86QSgEQx2QFMGg+HUqVM4Dwtdh8fhRDq5k64AeFSnTp1qb28nXQF0gcEOaCojI6Ohvn4IVuygK+FsLLCAQqHIysoiXQF0gcEOaOrEiRMBEntnsSXpEGAz3D8B7IDd7OAmDHZAU6dPn450wnlY6FpuljYBEnvSFQCPCoMd3ITBDujIYDAkJycPdOxBOgTYLxqn+4H5zpw5YzAYSFcALWCwAzrKycmRy+V9HVxJhwD7DXPFZXbAeI2NjTk5OaQrgBYw2AEdJSUleVjauFpYkw4B9hvs6C7m8UlXADyqU6dOkU4AWsBgB3SUlJTUH+dhoVuIeLwB+MsGzJeamko6AWgBgx3QUVJSUj8H/KyFboJNT4AFzp8/TzoBaAGDHdBOZWVlaWlpfwx20F2GY7AD5rt27VptbS3pCiAPgx3QTmpqqhVfIMMmFNBdAiT2PXBBJzBfWloa6QQgD4Md0M6lS5dCpE5cDod0CJgR3BsLLICzsUBhsAMaSk9PD7FzIl0B5gVnY4EFLly4QDoByMNgB7STkZGBwQ662VBnDx4H34fAbBcuXDAajaQrgDB8kQG93Lhxo6amJkTqTDoEzItEIOpjj791wGyNjY2lpaWkK4AwDHZAL+np6ZZ8ga+1HekQMDvY9ARYICsri3QCEIbBDuglPT29l50jD3dOQLfDYAcsgMEOMNgBvWRmZvaydSRdAeYoVOosFYpJVwA8kuzsbNIJQBgGO6CX3Nxc7GAHRPA4nKHOnqQrAB4JVuwAgx3QiEajKS0txWAHpAxzwWAHzFZUVKRSqUhXAEkY7IBG8vLy2tvb/W0w2AEZw129cXUnMFp7e3tubi7pCiAJgx3QyJUrVxxFllIRrnMCMpzFljJbB9IVAI8Eg52Zw2AHNHLlypUAiZR0BZg1PIICmK6wsJB0ApCEwQ5o5MqVKwG4wA6IwqYnwHQY7MwcBjugkby8PD8brNgBSQMce1jyBaQrADqvoKCAdAKQhMEO6MJgMJSWlvpY25IOAbMm5PIGO7qRrgDovKKiIjwx1pxhsAO6KC8vb2tr87KSkA4BczfMFWdjgcFaW1srKytJVwAxGOyALq5du8blcNwsbUiHgLnDZXbAdDgba84w2AFdXLt2zdXCWsjlkQ4Bc+drbYeVY2A03D9hzjDYAV2UlJTgpynQRDQW7YDJysrKSCcAMRjsgC4w2AF94NliwGg3btwgnQDEYLADuigpKfGwxGAHtDDEyYPPxdcjMBUGO3OGby6gixs3brjjzgmgB2uBsK+9K+kKgE7CYGfOMNgBLRiNxpqaGmcLS9IhAH/CvbHAXOXl5djKzmxhsANaqK+v12q1zmIr0iEAf8JgB8zV1tZWV1dHugLIwGAHtNCxnaazGCt2QBchUicHkQXpCoBOun79OukEIAODHdBCVVWVkMuzFYpJhwD8iUNR0bg3FhirpqaGdAKQgcEOaKGqqspZbMkhnQFwK5yNBebCqVizhcGOna5du/baa6/5+fmJRCInJ6epU6deuHDh1jeUlZW9/PLL7u7uQqHQ29v7vffea2lpuccBxWIx5y5KS0sfPbiystLFAhfYAb0Md/HicvDPDWCk+vp60glABp90AJhefn7+0KFDW1pannzyST8/v6Kiol27dsXGxp4+fToyMpKiqJKSkoEDBzY0NMyYMSM0NDQ5OXnlypXJyclnzpwRCAR3PObChQt1Ot1tL+7cubO6uloiMcHmc3V1dVIhrmcCerEXWfSydcyRY+UDmAcrdmYLgx0LvfXWW42NjadOnRo2bFjHK9OnT4+JiVm9enXHYLdkyZL6+vqNGze+8sorHW+YP3/+mjVrNm7cOHfu3Dsec9myZbe9cunSpRUrVnz66af29vaP3tzY2CgV4QI7oJ1hLl4Y7ICJMNiZLQ62umGfjz/+uL29ffny5TdfaW9vt7Cw6NWrV2ZmJkVRtra21tbW5eXlnP8/zSSXy93c3MLDw1NSUh7kI9rb2wcMGKDRaDIzM4VC4aM3T5o0yTW//N9hQx/9UAAmdL6u8ukz+0lXADy0SZMmHTx4kHQFEIAVOxb65+padXW1Tqfz9fWlKKq1tbW5ublPnz6cWy4esrOzCwgISE9Pb29v5/F49/2ItWvXZmRknDx50iRTHUVRTU1NgUKRSQ4FYEL9HFytBUKlTks6BODhYMXObOHmCZZTqVSnTp2aMGGCjY3Nv//9b4qiLCws+Hz+P6+rtbS01Gq1VVVV9z1ma2vr8uXLR48ePWLECFN1NjY2SgQY7IB2+FxupJM76QqAh9bQ0EA6AcjAYMdmdnZ2VlZWI0eODAsLy8zM7N+/P0VRXC43MjIyLy8vOzv75jvz8/MvXbpEUZRSqbzvYdetW1dXV/fJJ5+YMLWpqckWK3ZAS9j0BJjoQb7MgZVwKpbN3nzzzcbGxpycnO3bt5eWlv766689e/akKOrTTz8dNWrU5MmTV61aFRwcnJmZuWTJEi8vr+LiYpHoPtOVWq1esWLFsGHDoqOjHzAjOTn57bfftra2trKysra2trOzs7Gx6fhvW1tbiURibW3d2Ngo8cNgB3Q0HIMdMNC9d7ACFsNgx2ZffPFFx3+cOnXqiSeemDZtWkZGBpfLHTly5Nq1axctWjRt2jSKoqytrZctW5aWllZcXCyVSu99zH379tXX17/88ssPnhEQEPDMM88olUqlUqlQKJqbm6uqqpRKZXNzs0KhaG1tVSqVWq1Wrdd3+k8K0HU8rSQ+1nalSjnpEICH0NraajAYuFyclzM7uCvWXMyePXv79u1XrlwJDg7ueKWlpSU9PZ3L5fbp08fGxqZfv35VVVUdz2y9h8mTJ8fGxtbX19vZ2ZmqTS6XS6XS2DFPBds6muqYACb0SeaZrcXZ938fAJ20tLRYW1uTroDuhlmebSoqKsLDw59//vnbXtdoNBRFtba2dvzP9vZ2Gxub4cOHR0dH29jYXL9+PSMjY+zYsfc+uFarTUxMjIiIMOFUR1GUWq2mKErMw/ox0BTOxgIT4WysecJgxzbu7u6NjY07d+48f/78zRcLCgri4+Otra1DQkIoilpMRn2JAAAgAElEQVS0aJGFhcXFixc7ftVgMLz77rtGo/HNN9/seKVjg7ri4uLbDn7lypXW1tbw8HDTNmOwA5ob7OQu5N5/GyAAWsH9E+YJP0pZaO3atTNmzIiOjp4+fbqfn19FRcXu3btbW1vXrVsnFospipo9e/a6devGjRv3wgsv2NvbHzp0KC0tbeHChYMHD+44QlFRUURExOjRoxMSEm49cn5+PkVRHfvhmdCfgx0XfxuBpiz5gv4OPZLrykmHADwErNiZJ/woZaGpU6cmJSV9+eWXJ06c2L17t42NTWRk5Ntvvz1p0qSON4SFhZ04cWLp0qW//fabSqXq1avXL7/8MmfOnPseuampiaIoGxsb0wZ3DHaiB9gYGYCUYa6eGOyAWf75gG8wB7h5Asg7e/bssGHDCmPe5HNwbQDQVJ6ifkLCTtIVAA/h3LlzQ4fiOY1mBz9HgTyNRsPncjHVAZ0F2Tq6iK1IVwA8BD32kDJL+FEK5LW3t/NueXAtAA1xKCrKxZN0BcBDwGBnnjDYAXlGo5FDYbADusOzxYBZMNiZJwx2AAAPJNrFk4ulZWAODHbmCYMdkGc0GvHTEuhPKhRLBHiiMTBGVVUV6QQgANudAHlGo5GDhRCgPQNFKXRtFEVRHC5lNNz6SwI3N1FQEN/VjUwZwD8odv0P36vmCYMdkIc9d4ARfi7I5HApykA5PLnMMmysKvuEpiRNW3FVX1+mq6zUVVZybWxEgUEiWaBIFiAODRP1DuFaWpKuBjOl2LfHzQ3/0jBHGOyAFvDvSqC/X4uzPIa5tqv1NfHrbKJmS4a/IBn+wp+/pteqS9I0eefUReeVcYmKXbuMei1FUXxnZ3FomEgWKJTJxKGhIv8AiosLYKA7GHU6oVBIugIIwGAH5PF4vHYs2gG9lSoVFaqWMdN6OQTZ7Rx/rCV1lyTq2b9+mS+0CBhiETBE+v8v6OVVmoJkdeH5tvwMVWqaQaWgjEautbXQt6coQCYOCxXKAsXBvXgODiT+NMB2BgPV3i4QCEh3AAEY7IA8kUikNbSTrgC4ly+yky2dxR5RLhwux7WfQ33cGpvBT3H4d/3BybfrYT1wuvXA6Tdf0d7Iac2Ibbue1XrmYvPBgzeX9ESyQGGATBwWJpLJRIFBHKyywCMz6nQURWHFzjxhsAPyxGKxwWjUGwx8nKUCujpTcz3oZT8Ol0NR1LDP+u16PF55cZ9N5FMPfgShZ4jQM+Tm/zS0qdT5Z1XZJ7QVVzSXDzZt2UwZDRw+X+jbUxwaJgyUiQJk4rBwvrOz6f8wwHYY7MwZBjsgTyQSURTVZmjHYAf0tKMkV2PQ+0/688kTVq4WzqHSprg11oOmc7id/BbliiytwsZbhY2/+Yq+4YYqJ1F99Yw6+XJL7FGDRklRFM/WVhggE4eGiTpGvdAwjlj86H8iYLeOwQ6nYs0TBjsgr2Ow07a3W939xBYAQRsLMt0HO9t4/vWs2OjP+u2dnNB66ZD1gGmm+hS+g+etN2QY9Br1ldOagpS269nNew4aVE3Gdj2Hz+e7uYsCAsRhYSJZoDAgQBQgo7CrBfwdVuzMGQY7IE8sFlMU1YbL7ICW6jWqUqV8RMyAW1+UeFk59LJril1t3X8KxemSlWYuX3z7kl5j+Z97rORfVSWldizp3b7HSq/eXCurux8VzAIGO3OGwQ7I+/9TsXj6DdDR59lJQluh53DX216PXhpx4MmTrZlxVhETu6eEb+/xtz1W/v+GDOyxArfBqVhzhsEOyLO0tKQoSo3HGgItxVeWBDzjzRPePhtJZRJpgKQpdpVVnwmkToZ23JBxyx4r1eorJ9WF57VXs1TJFwyaFspo5FpZiQIDRUG9RMHBouBgUVAwTyIhUgvdxqhWUxRlYWFBOgQIwGAH5Nna2nI4nJaOhzUB0MmximKVXhcw1euOvxq1tM+h2WdU2QmWYWO7OeyO+HauNkNm2QyZdfMV7Y0cVd6ZtpJLyvizty7pYY8VdmuXy7lcrp2dHekQIACDHZDH5/OtrKyadVrSIQC3W5130SXCwa6nzR1/1bG31NbHuunICsvQMfS8g+H2PVa0avXVM3fcY0Uok4lkMnFoGPZYYYF2hVwikfB4PNIhQAAGO6AFW1vbZqzYAc00a7X5ioaomL73eE/UpxFHXjirzjtt0WtEd3V1Hldocbc9Vtou5beeOIU9VtjBoFBIpdL7vw/YCIMd0IKdnV0LVuyAZr7OTRZYC3zG3utJ6s7h9jaeVk1HvmXEYPdP2GOFldox2JkxDHZAC3Z2ds1yrNgBvRy6UdhzmgdffJ/zWUM+Dj/2WrK6INlCNqR7wroO9lhhh3aF3FSDXVNT0+eff7579+7q6mo3N7fw8PAPP/xw8ODB9/gtV69e/fzzzxMSEurr6+3s7KKiohYvXjxw4ECT9MB9YbADWrC1tW2uqyJdAfCXszXXm3XaEdO87/tOt4FO1j0s5bGrWTDY/RP2WGEiU52KbWxs7NevX2lp6cSJE1944YVr167t3Lnz2LFjFy5cCA0NveNvyc3NjYyMFAgE8+bN8/f3Lysr+/7774cOHXrs2LFRo0Y9ehLcFwY7oAWpVNqsLSVdAfCXlVcuSGUSh2DbB3nz4CWhCW+d0xRdEPuzf1ni9j1WFDWa/HPqwvNt+Rmq1DSDSkEZjRyBQOjjKw4NE4eFCmWB4qBgnqMjyWgz065QSJ2dHv04//nPf0pLS9euXTtv3ryOV2JiYqZPn/7hhx8eOXLkjr9l+fLlLS0tiYmJI0eO7Hhl8uTJ4eHhy5Ytw2DXPTDYAS24uLhcblORrgD4U5tBn9VUO+iNO69J/JNntKuls1h+dI3rvG1dGkZDfFsX64HTrQdOv/nKzT1WWs9cbD58xKhVU9hjpXu1KxTSQNmjH0cgEIwePfr111+/+cq0adMsLCxyc3Pv9luKi4spioqKirr5SlhYmEQiKS0tffQeeBAY7IAWXFxc6jQY7IAuVuZe5Ai5PR/3ePDfMvC9kFOLTraVZYq8+3RdGCN0Yo8VkUwm8Lr/WW94QLob1685Ohw5csTFxcXV1dXJyanjAT8Pa9WqVbe9otVq9Xq9h8dd/68RFBR0/vz5/Pz8kJA//w7U19crlcqhQ4d2IgA6AYMd0IKrqysGO6CPPWV5vuPchDYP8UQm3/Hu57/KlsetcXljc9eFMdE/91jRVReqchLVhSmai7nK44lGrYqiKL6j081nY4iCgkSyQCzpdZq+tvbkyZOxsbEq1Z/fq1Kp1MXFxdnZ+eaoN2LEiOjo6Ic98k8//aTT6Z5++um7vWHRokUHDx589tln161b5+/vX1VVtXDhQrFY/Mknn3T+zwMPA4Md0IKrq2t9m9pIUdhBAYjLaqptbFMPjnnoBaR+7/Q6tzS+7Xq2yOtBz+GaJ4FrgK1rgO2YP0/wGfSatpJ0Td45ddF5ReY+7LHyqIxGY1vbtt27x48fr1Qqq6ura2pq6urqqqqqamtr6+rqKioqMjIyNBrNww52p0+fXrhwYVRU1BtvvHG39wQHB6ekpMTExNw8uJeXV0JCwqBBgx7pDwUPjGM0Gkk3AFBZWVnh4eEZk162E2IfVCDs6dP7r1o3x+wf3Yl/Z2wfEcfvOd7l1Z+6oMuM6JsqVFkJmpI0bcVVfX3ZzT1WhD6+ogCZOCwUe6zcg76+rqhvn5ycnN69e5vwsDt27JgzZ07v3r2PHz9ub29/t7fl5eVNnDhRr9fPnz9fJpPV1tauXLmyvLx8z549Y8aMMWEP3A0GO6CF2tpaFxeX+LGzAiR3/b4A6AZ6gyHowE993w0Oed6/E789f19p8rJsj48ShG5BJm8zZx17rLRdz9LWFLfLq7DHyj1osrNKJz6uUCgkEolJDmg0GpcuXfrf//73scce27Vrl43NnZ+w1yEyMjIrK6ugoMDd3b3jFZVKJZPJKIoqKSkRCB7i8gboHJyKBVpwdHTk8/m1GhUGOyDrx4J0I5/yf8Kzc789MMYnbdUV+bF1znPWmTbMzN12Q8Y/9lhppoyGm3usCANlogCZRZ8I89xjRVdZaWNjY8Kp7pVXXvnll1/eeuutVatW3fv5s0ql8vz58yNGjLg51VEUZWlpOXr06K1btxYUFJh2ERHuCIMd0AKXy3Vzc6tUtZAOAXO3/VqO1whXsX1nbiHsEP6K7OKaP6QTFghcepowDG7VyT1WZIGcTt0cyiz6ykovLy9THe3dd9/95Zdfli9fvnjx4vu+Wa1WG41GjUZz2+sdr/zzdegKGOyALnx8fCrqMNgBSQXNDdXq1nExYY9ykJAX/DM35svj1zk9t9JUYXBf2GPlJn111T22I3ko+/btW7NmzTvvvHO3qU6j0Vy9etXGxsbPz4+iKCcnJ19f37S0tIKCgo7TrxRFyeXyhIQEiURycwMU6FIY7IAufHx8yssukK4As/ZFdoqVq4XboEfdsj/kef/Mn/ZKH5/PdzTZwgk8lH/usaJvuKHKSVRfPdN2Kb/1xKmOGzJ4trbCAJk4NEwUKBMFyEQhoVwLC3LVpqGrqvL07OS1BLf54IMPKIoyGAwffvjhbb+0aNEiqVRaVFQUERExevTohISEjte//fbbGTNmDBky5I033vDz86uqqtq0aVNjY+P333/fub304GFhsAO68PHxORaXQLoCzFpybXnvNwI43EfdU6PPa4HZmwvlx39wnPWlScLg0fEdPG996O2te6w07znIpj1W9JWVHn3CTXKojsdIrF279p+/9MYbb9zxcbTTpk07d+7c119/vWHDhqamJhsbm379+q1bt27ChAkmSYL7wmAHdOHt7V3eilOxQMzmoiwdZQiYbJo1tl7P+GX/usNu/Ft8e/f7vxu6HZcvtggYYhEw5K+H3t7cYyX/qiop1aBppSgj19pG6MuwPVZ0lZWmWrG7774ZISEh/3xPZGTk/v37TRIAnYDBDujCx8enWq3UGwx8bFgAJGwuuuwR5WLlapozcf3+FZz7e7EiYb3Dk8tMckDoanyp+61LepTRoLl2SZV1vO365daTKc1//GFs11EcjsDLSxzcSxQcLAoMEvXqLfTyotUeK0a9Xl9dZcKbJ4BxMNgBXfj6+rYbjZVqpZeVae7SB3hwlaqWG63No2OCTXZELhU4wztv1+924+fxbF1MdljoNhyu2G+A2G/AzRf+2mMlJ6P1bAo991jRlZUZ9fqgIGyjaL6wQTHQhV6vt7a23jhgfLSLaU4iADy4f50/dlJz48mj47h8k62+GPSG34ccsRn+hn3MR6Y6JtDKzT1W2sqvtDfX0mGPFWX8Mfn8t5ubmzlMuzQQTAUrdkAXfD7f39+/uKUJgx10v8SqUtmLviac6iiK4vK5AVO88g9usR33Js/awYRHBpq44x4rmoKUtuvZzYT2WGkrKgwKCsJUZ84w2AGNBAUFFWXkk64As7O37KrGoA+YYvoft4MWhRYcOKJI3GQ/eZHJDw5081B7rIhkgSJZgDg0zLR7rGiLi3Ee1sxhsAMaCQ4OTjiTSroCzM76/PQeAxwlXqa/25HL5/pN8Cg+9ovdmDe4lrYmPz7Q3D32WFHGJSp27TLqtRSPJ3D3MNUeK9riosBp00z3JwDmwWAHNBIUFLS+uYl0BZiXhjZ1cUvTsGn9uuj4gxeHFh+OVZz8WTpxQRd9BDBFJ/ZYEcoCxb1DeHfaMe6OsGIHGOyARoKCgurbVAptm60QG5RDN/kyO0VoK/Qe5dZFx+eL+T5j3UpPbrId/RpXbN1FnwIMdfseKxSlvZHTmhHbdj2r9czF5oMHjXotRVF8Z2dxaJhIFiiUycShoSI/f4rH++fR9HW17QoFBjszh8EOaKTjmt/ilqa+Dq6kW8BcxFUU+T3lyRN14VZkkR/1KRkW23x6i934eV33KcAOt9+Q0aZS559VZZ9oy89QpabdcY8VcZ8+fEcniqK0RcU8Hs/f359cPpCHwQ5oxMrKysfHJ7+5AYMddI8TVaWtel3AlK7dzVVozfca4Vqe8JPtiJc4Issu/SxgGa7I8rYbMjTXLqpzT2lKM1pPpfy1pNejhygomDIYevToIRaLyfUCeRjsgF769Olz5XIh6QowF6uuXHAKk9rLuvy2hqilEdtHxDWf/c12zOtd/VnAbuKeA8Q9/9o22aBRqrKOqwvOaYtztVX57r5duJcKMAKNHoQCQFFURERErryOdAWYBZVed0VRL5vWHT8IhRKB+1Bn+fEfjTpNN3wcmA+u2Np64DSnZ791X3xU5BnyzDPPkC4CwjDYAb1ERERcVTS044Eo0PW+yUnlW/B8x7l3z8dFf9rX0FLXkryjez4OzI6hva0ir1+/rrq/G5gCgx3QS0REhLpdX6KUkw4B9tt/I9/3MXeBVTddkSK2F/YY6Cg/9r1Rr+ueTwSzoq0uNLap+vbtSzoECMNgB/Ti7u7u4uKCs7HQ1S7UVyq0bbKYbr0gKXpZX728Upm6qzs/FMxE2/VsFxcXN7eu2rgHmAKDHdBOeHh4rryedAWw3Nc5KdIAiVPIg+77ahKWzmLXCAf5sXVGg747PxfMgfZGNs7DAoXBDmiob9++OU21pCuAzdoM+ozGmsDuXa7rEPVphK6hTHlhf/d/NLBb23UMdkBRGOyAhgYPHny5qVZvNJAOAdZal5fGEXJ6TvDo/o+28bRyCpHKj35HGdq7/9OBtQzt2vLciIgI0h1AHgY7oJ3IyEiVXndV0UA6BFjrf6V5PqPdRLZCIp8e/VlfXU2xMv0wkU8HVtJWXjVolIMHDyYdAuRhsAPacXZ29vf3T2+oJh0C7HRFUV+vUXXzbRO3svW2dgiylceuorAsDSaiKbrg5+fXo0cP0iFAHgY7oKPIyMiMRgx20CWWZyXZeFq59nMk2BD9377aqoLWzKMEG4BNNMUXhg4dSroCaAGDHdBRZGTkJazYQRcwUNT5+srAGG+KQzJDKpNI/SVNsaso7MUNpqApvojBDjpgsAM6GjJkyI3W5lqNinQIsM2G/HQDx+g3yZN0CDX0kz7a8lxV7gnSIcB4+qYqfVNlVFQU6RCgBQx2QEchISESieRSQxXpEGCb367leI5wtXQUkw6hnEKltj7WTbGrSYcA42mKzkul0qCgINIhQAsY7ICOeDxedHR0Sm056RBglVKlolLVIptG7LaJ2wz5KLytJF2dd4Z0CDBbx3lYLhc/0IGiMNgBbY0cOTK5roJ0BbDK51lJVi4W7kOcSYf8ybW/o42HVVPsKtIhwGyawpTo6GjSFUAXGOyApkaNGlXc0lStbiUdAuxxpuZ6wDQvDpfofRN/N+SjcE3ReU1hCukQYKr25lptVf7o0aNJhwBdYLADmgoPD3d0dEytw9lYMI3fr+XoKEPAFC/SIX/jNtjJytUCV9pBp6nzzjjY2+OZE3ATBjugKS6XO3z48BScjQUT+bkw0y3SybqHJemQ20UuDlNfPaspvkg6BBhJffXs6NGjcYEd3IS/CkBfo0aNOof7J8AUajWqUqWCPrdN3MpzuKulk1h+9DvSIcBI6vxzOA8Lt8JgB/Q1ZsyYSlVLqVJOOgQYb3lWkthO6DnMlXTInQ18P0SVm9hWlkk6BBhGW1Wgb6oaM2YM6RCgEQx2QF8ymczPz+9kdRnpEGC8+MprAVO8eEKafuP5jne3kArlcVi0g4ejzjvj5+fXs2dP0iFAIzT9mgPo8NhjjyVWYbCDRxJXUaxu1/tPpddtE7fp+1Zwa9YxbUUe6RBgEnXeGSzXwW0w2AGtTZw48Xx9ZateRzoEGGzNlQuu/RzsfG1Ih9yLbJq3SCKQH11DOgQYw6hVqwuSnnjiCdIhQC8Y7IDWRo4cKRCLkmpvkA4BppJrNQXNjfS8beI2/d4KVl46rK3KJx0CzKDKO23B54waNYp0CNALBjugNbFYPGrUqERcZged9XVOqsBa4D3GjXTI/QXO8BFa8eTHvicdAsygyoofN26cpSXtdvABsjDYAd1NnDjxZFWpkXQGMNTh8kK/iR58MY90yAMJe0WmvLhfV1tCOgRoz2hQ5SROmjSJdAfQDgY7oLuJEyfWtalzmupIhwDznKm53qLTBjDhPGyH0Bf9BRYcefw60iFAd5qSdKOyfsKECaRDgHYw2AHdeXp6Dhgw4GhFMekQYJ5vc8879rJzCLIlHfIQej/nr0zdo2/AdaVwL6qs+EGDBrm60nRrRiAIgx0wwPTp02Mx2MFDUul1OfI6WQxjlus6RLweyBMY5PE/kA4BWlNlxeM8LNwRBjtggJkzZ5a1KvIU9aRDgElW513gCLm+491JhzwkDhU8q2dL8g69vJp0CtCUtqpAW1UQExNDOgToCIMdMICvr29EREQcFu3gYewpvdrzMXehjYB0yEPr/1YvLq9dcfxH0iFAU61pf0RERAQGBpIOATrCYAfMMH369CPlRaQrgDEym2qatBrGnYf9E5cKnO7dfHZru6KGdArQkTL98FNPPUW6AmgKgx0ww8yZM6+1yAubG0mHADN8kZVs62vtHGZPOqSTBizozeXoFIkbSYcA7bTdyNFVF86YMYN0CNAUBjtghoCAgLCwMCzawYPQGQyXGqoCp/tQHNIpncXlc/0neSlOb2lXNpBuAXppTftj0KBBfn5+pEOApjDYAWPMnj37wPUC7FQM9/VD/iUjn+M30YN0yCMZvDiU065pPvkL6RCgl9aMIzgPC/eAwQ4Y49lnny3XKNMbcKsg3MeOa7neo3qIpSLSIY+Ey+f2fNxdcfJng7qZdAvQRVtphr6+DOdh4R4w2AFjuLm5jRgxYv91PCId7qWguaFG08rU2yb+LnJJmFHbojj5M+kQoIuW1D1RUVGenp6kQ4C+MNgBkzz33HOHywu1hnbSIUBfn2cl27hb9hjgSDrEBPgWfJ8xborEjQaNknQLkGfU61ov/TFnzhzSIUBrGOyASWbMmNEuFCRWlZEOAZoyUFRKXXnANG8Ol7H3TfzdkI/7GNWK5jNbSYcAearLcWJjG87Dwr1hsAMmsbKymjJlCs7Gwt1sLrzczjEGTPYiHWIyQmu+53AXxfEfDG2tpFuAsJaUnTNnzrSxsSEdArSGwQ4Y5vnnnz9ZXVbfpiIdAnS0pfiyR7SLpbOYdIgpDf0kwqBqaknaTjoESNLLq1V5Z3AeFu4Lgx0wzNixY718ffaUXiUdArRToWopb20JmMqG2yZuJbYTukc6yeN/MOo0pFuAGGXqbl9vr+joaNIhQHcY7IBhOBzOnDlzdpTkGozY0g7+5rOsJAtHkUeUM+kQ04te1s/QXNOSspN0CBDTcn73Sy+9xOGw5OJR6DoY7IB5Xn755SqtOqWunHQI0Mup6jLZVG8un4Vfa2J7oesAR/mxdUa9jnQLEKAuSDbUlbzwwgukQ4ABWPgNCKzn6uo6adKk7SVXSIcAjewqzdMY9P5T2HPbxG2i/9tX31ShPL+HdAgQ0Hxq86RJk7B9HTwIDHbASK+99lp85bVaDW6hgD/9VJDuNtBJ4mlFOqSrWLlauITby49+ZzToSbdAt2pX1Kiy4v/1r3+RDgFmwGAHjDR27FhPb++9ZbiFAiiKouo1qpIWOTueNnEPUf/tq2soa714gHQIdKvms7/5+XqPHj2adAgwAwY7YCQul/v666//fi1HbzSQbgHyvsxJEdoKvUb2IB3StSReVk69pU1Hv6Pw195sGNt1LUnb582bh9sm4AFhsAOmeu211xQcw7GKa6RDgLy4imL/SZ48Ifu/0IYujdBVF7WmHyYdAt2kNSNOqG1+/vnnSYcAY7D/exDYSiqVPvfcc78UXSYdAoTFV5ao9DrZNJafh+0g9bexD7JtOrIKi3ZmovnMlmeffVYqlZIOAcbAYAcM9u6772Y21WY21pAOAZJW511wDre38zOX5yxFLe2jrcpvvXyMdAh0OW15blvR+blz55IOASbBYAcMJpPJxo8fvxmLdmZMqddeVTSw/raJWzkE2dn5SeSxqyjs0c128vjvx40bFx4eTjoEmASDHTDbO++8c6S8uEqtJB0CZHydk8q34PmMdSMd0q2iPunTdiNHlZtIOgS6kL6psjX9yMKFC0mHAMNgsANmGzduXGBw0NbibNIhQMbB6wU9J3gILPmkQ7qVU5hU4m3dFLuadAh0IUXC+rCQXqNGjSIdAgyDwQ6YjcPhvP/++79fy2nWtZFuge6WWlep0LWZ1XnYm4b8O7yt5JL66jnSIdAlDCpFS9KORYsWYZcTeFgY7IDxnn32WQe3Hli0M0Nf56RIZRLHXnakQwjoMdDRxt2yKXYV6RDoEs2nt7g728+YMYN0CDAPBjtgPIFA8N577/1SeFmF56ObkzaD/nJTTeB0H9IhxAz+MExTmKIpTCUdAiZm1GsVpzYvWLBAIBCQbgHmwWAHbPDqq6+KHaQ7S6+QDoHus+bKRY6Q6/e4B+kQYjyiXaxcLZricKUd27QkbbcTtL/yyiukQ4CRMNgBG4jF4rfffntDQabO0E66BbrJrtI8n7FuQolZL2kM/jBMnXdGcy2NdAiYjFGvk8f/sGDBAmtra9ItwEgY7IAl5s6d2yYW7LueTzoEukNWU21Dm9pMnjZxD14jXC0cRfKja0mHgMm0JG2TUKp58+aRDgGmwmAHLCGRSObNm/fD1Ut6Ax61xH5fZadIvK1d+zqQDiFv4PuhqpyEtjJs080GN5frJBIJ6RZgKgx2wB4LFixQivi7SvNIh0DXMlDUhYZKWYw3hY0gKKrnY+5iO6H8GBbt2KAlebu1Qfmvf/2LdAgwGAY7YA87O7t33333u7yLmnY96RboQj9evWTgGP0nepIOoYt+bwW3ZsZpK/BPGmYztuvk8T+89957dnbmuIMPmAoGO2CV+fPnGyVWO0pySYdAF9p2LcdrZA8LRxHpELqQxXiLbATyo9+RDoFH0pK0Q2Jsffvtt0mHALNhsANWsba2Xrhw4bqrl1qxp2ZkrwcAACAASURBVB1LlbTIq9RK3DZxmz6vy5Tph3U1xaRDoJOMWnVT7CpcXQePDoMdsM28efMsnRzwIAq2+iw7ycrVwi3SiXQIvfSa7Sew5OL2WOaSn/jJ2ZI7f/580iHAeBjsgG3EYvHixYs3FGQotHh6LAudq7khm+rN4eK+iduFveTfcmGvrraEdAg8tHZloyL+x08//dTKyop0CzAeBjtgoVdeecXRy+P7q9i1lW1+K87WUQb/Kbht4g7CXpIJLDjy4z+QDoGHJo9dFeDtNmfOHNIhwAYY7ICFhELhl19+uaU4u0ypIN0CprSpMNN9iLN1D0vSITTVe7afMmWXvrGcdAg8BH399eazv3311Vd8Pp90C7ABBjtgp+nTpw8eOuTrXDwfnT2qVMrrrc24beIeIuYG8QQGefyPpEPgITT+8cWg/n0nT55MOgRYAoMdsNaKFSuOVl5Lq68iHQKmsTw72cJB5DnchXQIrQU95duSvL1dUUM6BB5IW9ll5aVDK1as4HBw2SiYBgY7YK2BAwc+9dRTn2cnGUmXgEmcqCrxn+zF5eNb6176v92Ly9HJj2PRjgmMxoZdH8+cMX3o0KGkU4A98BUJbLZ8+fKrKsWR8kLSIfCoDtwoULfrAyZ7kQ6hOw6PI4vxbj77W3tLPekWuI+W83s4Vblff/016RBgFQx2wGY+Pj7z58//IjtFhf2KGe7Hq5dc+zva+lqTDmGAge+HcIxtihMbSIfAvRg0ysYDyxctWuTj40O6BVgFgx2w3Mcffyxwsv8h/xLpEOg8uVZT2Nwoi8FtEw+Ey+f6T/JsPrW5XdlIugXuSh632k0iXLhwIekQYBsMdsBylpaW33zzzYaCzGstctIt0ElfZqcIbATeo3qQDmGMyCVhVLu6+dQvpEPgznR1pYrETatWrbK0xN49YGIY7ID9Zs6cOWb8uE8yz5AOgU46Ul7k94QnX8wjHcIYXD7Xd7ybInGTQd1MugXuoGHXxyOHRU2fPp10CLAQBjswC2vWrLmoqI2rwCPSmed09XWlXiubitsmHs6Qj8KN2pbmU5tJh8DtWi8f0+WfWbNmDekQYCcMdmAWAgIC3n333WWXz+EuCsb59kqqU4jUPtCWdAjD8C343qPcFCc2GDRK0i3wF4NG2bBzyXvvvRcSEkK6BdgJgx2Yi48++kjgZL867yLpEHgIKr0uR16P2yY6Z+h/+hjU8pazv5EOgb80/vGFh63oo48+Ih0CrIXBDsyFlZXV+vXrfy7MTG+oJt0CD+rb3PM8Mdd3vDvpEEYS2vA9h7nIE9YbtWrSLUBRFNVWltl8ZuuGDRusrKxItwBrYbADM/L4448/PWvWkoxTeoOBdAs8kH3X83s+5iGwwsPRO2no0giDsr45aTvpEKCMBn39tg+em/3M2LFjSbcAm2GwA/Py3XffNYl46wvSSYfA/V2or5RrNbJpOA/beWI7odsgJ/mxdUZdG+kWc6eI/9FaVbVixQrSIcByGOzAvDg4OKxcuXJtXlphM/ZupbsVOalSf4lTmJR0CLNFLYswNNe0pOwkHWLWdLUlTbGrvv32W2dnZ9ItwHIY7MDszJ49+7EnJi66lGgwGkm3wF1pDYb0xmos1z06S0exaz9Hefz3xnbcEk6Iob3u13fGjRr+/PPPk04B9sNgB+Zo7dq1RTrVluIs0iFwV99fTTPyOT0nepAOYYPoz/rqG28oL+wjHWKm5AnrRQ2FGzdu5HA4pFuA/TDYgTny8vJauXLlV9kp+YoG0i1wZztKcn3GuInthKRD2MDK1cI53F4et8Zo0JNuMTu66sKmwyvWrl3r6elJugXMAgY7MFOvvPLKE1OnvJd2QmdoJ90Ct7uqaKjTqHAe1oSi/9tXV1/amnaQdIh5MRr0tVvemfT4+Oeee450C5gLDHZgvtavX18v4n6Xl0Y6BG73eVaSjYeVa38H0iHsIfGycuxl1xS3hjJir5/uI49dY9NavmHDBtIhYEYw2IH5cnJy+umnn37Mv3SxvpJ0C/zFQFGp9RWyad4cLi5IMqWopRG66sLWjCOkQ8xF2/Us+dHvfvzxRxcXF9ItYEYw2IFZmzJlyrPPP/9+2gk8Q5Y+NhVkGDhG/8m4IMnEpAESe5ltU9waCveDdz1DW2vtz3OfefrJGTNmkG4B84LBDszdd999x3GU/jfrHOkQ+NPW4myPaBdLJzHpEBYa+km4tvyKKvs46RD2a/jfvz2tqR9++IF0CJgdDHZg7iQSya5du/aVFx64XkC6BahSpaJC1SKLwW0TXcKxt9Sup03TkW+xaNelWi8d1Fzav23bNolEQroFzA4GOwBq4MCBn3766b8zTl1rkZNuMXdfZCdbOos9onBNUleJWhrRdj1bdeUU6RDW0tWV1v2+cPny5YMHDybdAuYIgx0ARVHUokWLokaNnH8xXovdT4g6U3NdNhW3TXQhpzCpxMuq6chK0iHsZGzX1W5+a8ywyAULFpBuATOFwQ6AoiiKy+X+9ttv9WL+V9kppFvM146SXI1B7z8Jt010rSH/Dm8ruaTOx3Wlple3dYFt642tW7dyufjxCmTgbx7An5ydnX/77bdfS3ISqkpIt5ipjQWZ7oOdbTytSIewXI9BTtZulvLY1aRD2Kb18lHlhb12dnYqlYp0C5gvDHYAfxk9evSSJUveTztR1qog3WJ26jSqUqUct010j8GLQ9UFyZqi86RD2ENXW1L36/wPPvjA19e3T58+u3fvJl0EZgqDHcDfLF26dMjoUa+nxGFnu262PDtJaCv0HO5KOsQseEa7WrlYNMWtIR3CEsY2Vc36l0ZHDVq+fHlcXNySJUtmzZr1zjvvaLVa0mlgdjDYAfwNl8vdtm2b3tFucfpJ0i3mJb6yJGCKF0+IL6VuMuD93uorp9pKM0iHsEHdjg/dRG07duzg8XgcDmfRokXHjx/fvXv30KFDS0pwaQd0K3yHAtxOKpXu27cvoaHil6LLpFvMxbGKYpVeFzDVi3SIGfEd627hKGqKw5V2j0qR8JP+8uG9e/c6OPz1dOORI0dmZmba2dkNGDAgNjaWYB6YGwx2AHcQFha2cePGL7KTU+sqSLeYhdV5F10iHOx62pAOMS8D5oeoshO05bmkQxhMU5jaeGD5hg0b+vbte9svOTs7Hz16dN68eZMnT37nnXd0OlzdAd0Bgx3AnT3zzDNz582bd/5YlVpJuoXlFNq2fEUDbpvofn5PeIhtBU24Pbaz9A03aja+NveN15577rk7voHH4y1duvTQoUPbt28fM2ZMQ0NDNxeCGcJgB3BXK1asCI0c9EryEdxI0aW+yU0RWAt8xrqRDjFHfd8Obs2M01ZeJR3CPAaNsvrHF4dG9Fq58j67PT/++OPp6ekODg7l5eX3PaxOp1u8eDGPx+vfv/9tv7RlyxbOnXz22Wed/2MA6/BJBwDQl0Ag2Lt3b2Rk5LzzxzYOmcjj4HEIXeLQjcKe0zz4Yh7pEHMUGOOTtvqK/Oha55e+J93CKEZD7eZ5HqK2vXv3CoXC+77d09Nz3759931bXl7es88+W1hYeMdflcvlFEXNmjXLy+tvV6MOHTr0waLBLGCwA7gXe3v7gwcPRkZGfpWTsiR0COkcFkqpK2/WaUdMw3lYYvq8Gnhh1UHpxAUCFz/SLYzRsG+Z6MbFuNRUR0dHUx2zubm5X79+vXv3Tk9PDwkJ+ecbOga7BQsW/HMxD+AmnIoFuI/AwMADBw78Wpq77VoO6RYW+jonVSqTOATbkg4xX72f8xNYcuTH1pEOYYyWlJ2q07/s3r1bJpOZ8LB6vX7u3LnJycn+/v53fEPHYGdnZ2fCDwX2wWAHcH/Dhg378ccfl14+m1R7/0tk4MG1GfRZTbVBM3xIh5i7sBcDlBf26euvkw5hAHVBcv22D7777rvRo0eb9sj29vYrVqwQCAR3e8PNwa69vb28vLy+vt60AcAOGOwAHshLL7309vz5/zp/tKC5kXQLe6zMvcgRcns+7kE6xNyFvSLjCQ1YtLsvbeXVmvUvvT1v7htvvNH9n65QKCiKWr16tZOTk6enp5OTU2Bg4Pbt27u/BOgMgx3Ag/rmm2/GTZn8wrmDFaoW0i0ssacsz3ecm9DmrksU0G16z/ZrSdmpb8Sa9F3p5dXV3z83adzIb7/9lkhAx4rdjh07Pvjgg61bty5evLi6unr27Nk//fQTkR6gJ47RaCTdAMAYWq124sSJZRfSdw2fZicUk85htqym2imJuydsjnKJcLj/u6GrGajfhhy2inzB4UnsnXEHBnVz5bfTIv2djx49KhZ3+f/3xWJxSEhIWlrarS8mJiY2NTU99thjVlZWHa9cuXKlb9++VlZWVVVVD3JzLpgDrNgBPAShULh3716rnl5zkg6r2/Wkc5hteVaSrY+1Sx9MdfTApYJm+jaf29auqCGdQjtGnab6h+dlUt7+/fu7Yaq7m1GjRk2fPv3mVEdRVK9evSZMmNDY2Hj5Mp5/CH/CYAfwcCQSyZEjR+QSi7fOH9MbDaRzmEpvMKQ1VMtivClsDkgbA97tzeXo5Ak4r/d3hvbazW85aipjY2OlUinpmts5OztTFKVU4gE58CcMdgAPzc3NLS4uLlPb8p+MM7iUoXPWF6Qb+ZT/E56kQ+AWXCpgmnfz2a3tSjz56v8ZjfU7Fouvp8bHx3t6kvzrqlQqf/zxxx07dtz2em5uLkVR3t7YCRL+hMEOoDOCgoIOHTp0qK7si6wk0i2MtO1ajtcIV7G9iHQI/M2ghSGcdo3ixAbSIXTRsO+/hswDhw4dCg4OJltiaWn5+eefv/baa1ev/vX8tz/++OPcuXMRERE9e/Yk2Aa0gidPAHRSZGRkXFzcY489ZsEXvNtrIOkcJilobqhWt46LCSMdArfj8rl+T3gUH91iN3Yu19Lcd41uOvi1NmnrkSNHIiMju+HjTp8+HRcX1/Hfer2+oqLiww8/7PifCxcudHBw+OGHH6ZOndq/f/+nn37azc0tJyfnwIEDEolk06ZN3ZAHTIG7YgEeyfHjxydNmvR2QMTcwH6kWxhjTtLhi1TtzNixHC6usKMdvUa/bWis7eMLpBPfI91CkiLhp5ZDX+zbt2/ixInd84lffvnl4sWL7/hLhYWFHY+jSElJWbZsWUpKilKpdHZ2HjNmzMcff3y3J1WAecJgB/CoDhw48OSTTy4MGvCqLIJ0CzME7l/f+42APq8Fkg6BOzuz5FLJyWavzy9wLSSkW8hQnPxFvveTHTt2zJw5k3QLwMPBNXYAj2rq1Km//vrr13kX/ldyhXQLA2wpytJRhoDJXqRD4K4iPwo3aluaT28hHUJGy7ltin1Lf/vtN0x1wES4xg7ABGbNmqXRaF59+WUjZZzl25t0Dq1tLrrsEeVi5WpBOgTuSmDJ9xrZo/zERtuRr3BElqRzulXzud/rdyz+ZdPGWbNmkW4B6Ays2AGYxpw5c7b+/vt/ss5tLsJOoXdVpVJeb22WTcNyHd1FfRJhUDU2n91KOqRbNZ/ZKt+55OeNG+bMmUO6BaCTsGIHYDLPPPMMl8t9/vnnDUbq5YBw0jl09Fl2koWjyCPahXQI3IfQhu8R5Vx5fL1k+IscgVk8PU+RsF5+4POff/75hRdeIN0C0HlYsQMwpaeffnrbtm1f5Z1fm5d2/3ebn8Sq0oApXlw+vnkYIGppX0NLXUvS7TvispI8/gfFH8u3bNmCqQ6YDit2ACY2c+ZMHo83a9YsDoeaF9SfdA6N7Cu7qjHoA6Zgi3xmENsL3QY51sSvs4mazeGz+QHz8vjvlUe+2blzZ0xMDOkWgEeFfzcDmF5MTMyePXvWFWUuz07GfkI3/ViQ3mOAo8TL6v5vBXqI+m9fvbyqJWUn6ZAuYzQ27vusNXbF3r17MdUBO2CwA+gSkyZNOnr06M7q4gUXE/QGA+kc8hra1MXNTbJpWK5jEktnsWs/B3n898Z2HekW0zMa9HW/LWhP/e3w4cNPPPEE6RwA08BgB9BVRowYkZiYmKxpej01TtOuJ51D2JfZKUJbofcoN9Ih8HCil/XVN1xXXthHOsTEjHpt7aY3BfnHjx07NmbMGNI5ACaDwQ6gC/Xr1y8lJaXMkjfrzIEmrYZ0DklxFUV+T3jwRPjOYRjrHpbOoVJ53BqjgT3/ODGom6vWPOXYmJOcnNw9z4EF6Db4kgXoWj179jx9+rSuh+MzZw7UalSkc8g4UVXaqtcFTMH2dYwU/Vk/XV1p66XDpENMo11RU7kypqew5dy5c4GBeK4dsA0GO4Au5+7ufubMGfvegTEn9xQ0N5LOIWDVlQtOYVJ7mS3pEOgMiZeVQy87edwaysj4q0W1VQUV30we6GN/7tw5Dw8P0jkApofBDqA72NvbJyYmDp86adrJPYnVZaRzupVKr7uiqMdtE4wWtTRCW5XfmhFLOuSRqPPOVH4zedKw/vHx8VKplHQOQJfAYAfQTUQi0e+//77w30teS479rTiHdE73+SYnlW/B8x3nTjoEOs9eJpEGSJriVlNGpm7g05K0o/r75+a9+uKePXssLPCoYmAtDHYA3YfD4SxdunTjz5uW5SZ/evmsgbE/Ix/K/hv5vo+5C6ywHTqzDf1PH235FVV2AumQh2c0Nh3+tul/i9Z9t3rNmjVcLn7wAZvh7zdAd5szZ86RI0f215XNO39MpWfh9mC3Ol9fqdC2yWJwHpbxnEKltj7WTUdWMGvRztimqvnpZf2ZDQcPHpw7dy7pHIAuh8EOgICxY8cmJSVdFRpmnNp3o7WZdE4X+iYnRRogcQrB9UxsMPSTPm3Xs9V5p0mHPCh9Y0Xlt1NdWgouXLjw+OOPk84B6A4Y7ADI6N27d1pamsfAiCmJu8/V3iCd0yXaDPqMxppALNexhUuEg8TTqiluNemQB6LOP1fxxWORfo6pqalBQUGkcwC6CQY7AGLs7e3j4uJee/edF88dXp+fTjrH9NblpXGEnJ4TsKkEe0R+HK4puqAuSCYdch/N536vXjv75Wemx8fHOzk5kc4B6D4Y7ABI4vF4X3755e/bt629dvmdC/Fqdj157H+leT6j3US2QtIhYDJuA52se1jKY+m7aGfUtdX9Ol+59z+/bNrw008/CQQC0kUA3QqDHQB5Tz/99NmzZzM5bTNP7StTKkjnmEaOvL5eo8JtE+wz+MNQdf45TdEF0iF3oG+sqFwxxa4i5ezZsy+++CLpHAACMNgB0ELfvn3T0tI8BvWdlLgrrqKYdI4JfJmdZONp5drPkXQImJjncFdLZ7H86BrSIbdrzYwr/3zM8CDXjIyM/v37k84BIAODHQBdODk5xcXFLfvm63cunViSfkpraCdd1HkGijpfXxkY401xSKdAFxj4Xogq92RbWSbpkD8Z9dqGXR/Vb3rt44XzY2NjHRwcSBcBEIPBDoBGOBzOO++8k5CQcLqtafrJvWWtTD0tu7Eg3cAx+k3yJB0CXcJ3vLuFvUgeR4tFO33DjcqVMaLcw7GxsUuXLuXxeKSLAEjCYAdAO8OGDUtPT3fpFzb5xG6GnpbdWpzjOdzV0lFMOgS6Sr93erVmxbddzyab0ZpxpPzzsVE9pZcvXx43bhzZGAA6wGAHQEcuLi7Hjh1776Mlb6clfHApsZVRD6gobVFUqlpw2wS7BUzxEtkK5MfWkQowtqnqfn+/4Zc3l3+y5Pjx466urqRKAGgFgx0ATfF4vP/85z9JSUmZAv1jx3dcrK8kXfSgPs9OsnKxcB/iTDoEulbfecGtGUe0VQXd/9Gaa5fKPx/jUJF8+vTpRYsWcTi4lhPgTxjsAGht4MCBmZmZMa/MmXXmj69yUnRMuKPiTM31gGleHC5+1rJc0AwfoTVPfnRtd36o0aCXx39ftTJm6ogB6enpQ4YM6c5PB6A/DHYAdGdpablmzZpde3bvabj+5On9JUo56aJ72XYtV0cZAqZ4kQ6B7hD+ikyZdkBXc617Pk5bVVD51RO8cxv27t65a9cuqRTPIAa4HQY7AGaIiYnJyspyGdBnQsLOjQUZ7UYj6aI721SY4RbpZN3DknQIdIeQF/wFFhz5sa5ftDMaFAk/VXwxfnwfn5ycnGnTpnX5JwIwEwY7AMbo0aPH0aNHt+7Yvr7i6uTEXVfk9aSLblerUZUqFbKpuG3CjIS84K+8sE/fcKPrPkJXXVj57TRt/MpN63/4448/nJ1x+SbAXWGwA2CYmTNn5ubmBo6MnnJyN92uuvs865zYTug5HPcnmpE+rwXyhAZ5/PddcXBju04e/33552NHBDhkZ2e/9NJLXfEpAGyCwQ6AeVxdXfft27f5119315dNO7k3V15HuuhPxytLAqZ48YT4YjEvvWb1bEn+n76pyrSHbbuRU/n1E8ZTP6z/fm1cXJy3N1aCAe4P378ATPXss8/m5uYGjxk+JXHPssvnlDot2Z7/a+/ew6uu7wSPn1wJuUAgXBMQQgJaCSqCF6YgUFwRrQrCSEv7tFO1VpnSyrZ4mXZcx06t7ahbpU8ddt1u6XoDquiI4w0oaQVEkaByT7hKhHBJSEJCrif7B7OsU6VSDTnkm9fr4eE5Ofn9fudzeHjIm/O7vbS35FhzU/5kp010OCO+e258QnPl0sdaa4MtDcfKF/+09IFJ115yztatW2+55ZbW2jIET9hBO9a7d+9Fixa9tvT1lQl1E1578rndW2M4zNzNb/cZkZWZmxHDGYiN+MjZ0wZU/emJ5qoDn39jNUX//sE/je2y5cV/X/LiwoULe/bs+fm3CR2HsIN270tf+lJRUdFtd875h/f/NOOPz2+vrmj7GY401G2rKh8yxc6yDuqi2UPj4xqOLJ33eTbSWLZ936NfrfjtzP9684yNGzdOmjSptcaDjkPYQQg6d+587733vvvuu52HnX31sgX/fdNbx5qb2nKAf9nwZlJ60oDLs9vyRTlzxCfGD77urKo/zm8+evgzrN7ScKxiyUN7/3nCpX3i161b9/Of/zw9Pb3Vh4SOQNhBOM4+++xly5b95ne/e7bqwy+9+uTze7a22cXuXtxbnHd1v8SUhLZ6Qc44F98xLK65rnL543/tikfX/tsH947usuH3i555avny5UOHDj0d40EHIewgNDNmzNi2bdvt/+3H/7j5zeuWL1p7qJXPVfy4P5XtqW5sGGw/bMeWkBQ/6Kp+VSv+d/RY1SmuUr/znQ8fmlz5xPfv+vubNm3aNHXq1NM6IXQEwg4ClJqaeuedd27ZsmXU306e/sfFN6166YOaU/1Z+xk8uHFNj3Mzs87pevpegnZh1D8Ma2moPpUP7RoP7ip7/NZ9D1533YjcTZs2/eQnP0lNdbcSaAXCDoKVk5Mzb968latW1ZzV+4rXn/7Z+6sqGupa/VVqmxo3HDk45Hof1xFJTEnM/S/ZlX94PFp39GTLRGuOlC/+6d77xg1LOlBYWPjMM88MGjSoDWeEwAk7CNyll166evXq3z75xIpIzdhX/s+vtqytbWpsxe3/cvNbccnxuRNzWnGbtF+jfnxBy7HKqsLffvxbLQ3Hjrz+6z33jOq9e+lzixasXr169OjRbT4gBE7YQfji4uKmT5++efPm//XkE8/VHhj9yu/+deu6+ubWuRfZ73dtGXRlTnJGUqtsjfYuOT3xrHF9KpfOa6mvPfFkS2N95fLH9/zjqMQ3/sfcf7n//fffnzx5cgyHhIAJO+go4uPjj99n9kc//efH922b8NqTC3ZtaopGP882i8r3VzTU2Q/LR43+pwujteVVbzwRiURamhqr3njig3tGRZY/8uPZtxUXF8+cOTMpyX8D4HSJa2lps+shAGeKqqqqhx566JFHHklvjN569oU3DPxCcvxnuVLJ9MLFWzOqrn9uQiSu1WekHXt91pv73ot0u+r2I6/M7RJX94Mf/GDWrFkZGe5KAqedsIOOq7q6+te//vUvfvGLuJpjNw++4Jv553VOSDz11Ruj0S88/68jfjB06NfzTt+QtDtNdc0b5pcUPbYlLS1tzpw5s2fP7tKlS6yHgo5C2EFHdzzvHn744Wjl0ZuHnD8jtyAjKflUVnxk89tzS9be8NrElMxTWp7g1Vc2bF6wc/PTOzMSu3zta1+bM2dOdrabkUCbEnZAJBKJ1NbWzps378EHH6w6eOgrA8/9u/zzclI/ZcfZpS/9NnVs5rifj2ybCTmTHTtUv+X3Ozc9saNvVvbs2bO//e1vuy4dxISwA/6/hoaGF1544cEHH1z79tvj+gz4+7NHXJjV5xOX3Fp1+MrXn5k472+yL+nZxkNyRjm86cimp3fseKW04AsFd9xxx/Tp0xMT/4od+kDrEnbAJ1i6dOlDDz306quvXpTV98bB51/eNzch7j+dH/F3b7y4LvHQ1Bcvj4t33kRHFG2K7l66b9PTOw6+V3H55ZfffvvtkyZNiovzlwFiTNgBJ7Vx48aHH374qaeeyoxLnJE7dHruub1SUiORSDQSOWfxY8Nmnn3+zUNiPSNtra68vviFPZsX7Iw7mjBjxoxZs2YVFBTEeijgPwg74FNUVlYuWLDg0Ucf3bJp09g+A27MP29L5eH7N67625evSO2VEuvpaCstkX1vH9q2ePfuZR/mnjVo5syZN954Y9eubhAMZxZhB5ySlpaWpUuXPvbYYy+++GJLc3P6wLRJ/3N05x6dYj0Xp13tgbrif9tT/MKeY/vqr7rqqltuuWXSpEnx8a5vD2ciYQf8dUpLS2fNmrVmzZr9Zfty/qZX3jX9zxrXNyHZj/nQRJuie/9Utm3xnr1vlOXn5d94443f/OY3+/btG+u5gL9E2AGfRTQaLSwsnD9//rPPPtsQXz/oyn751/TvOaxbrOfic2uJlK0/vOPl0l2vlcbVJ0ybNu2mm2667LLLnBgB7YKwAz6Xo0ePPvvss/Pnzy8sLEzP6TxwYk7uFdndhzj0qv0p31a185W9O14urS2rGzdu2ZTbEQAADLxJREFU3IwZM6ZOnZqZmRnruYC/grADWsfu3bsXLFiwcOHCd955p8uA9NwrsnOvyOk22L2kznQVJVV7/rB/56ulFSVVF1100Ve/+tXp06e7YwS0U8IOaGXbt29ftGjRwoULi4qKMnMzBlzet//YPj3OzXTFuzNHS7Tl4PsVe5bv2718X9UHNQUFBdOmTZsxY8bgwYNjPRrwuQg74HQpLi5etGjR888/v3bt2pSs5P5j+vS/rHf2pb0SOyfEerQOqrm+ed/bh/b8Yf+ewn315Y2XXnrp5MmTp0yZkp+fH+vRgNYh7IDTbv/+/UuWLFmyZMnSpUvrmo71vahnvzG9sy/u2TU3PdajdQhHtleXrjpQuurA/nWHEiNJ48ePnzJlyrXXXtunzyffLw5ov4Qd0Hbq6uqWL1++ZMmSl19+edeuXWm9O/e9uEf2JT37XtIztadrHbemuvL6/e8cPt5zNWXHhgwZMnHixCuvvHLs2LFpaWmxng44XYQdEBslJSXLli1btmzZ8uXLDx8+nDkoo+8lPXsP7977giw3tPhsag/U7X/nUNm6w/vfOXxkZ3XXLl3Hjx8/ceLEiRMn5ubmxno6oC0IOyDGotHo+vXrly1btmLFipUrV1ZWVqb3Te11Qfde53fvdUH37kO6OOviZKLNLUdKqg5uqDj4bsX+osPVH9RkZWWNHj167NixY8aMGT58eEKCwxmhYxF2wBkkGo1u3Lhx1apVK1euXLVq1fbt25NSE7POzcw6p2vWF7pmnZPZNTe9Q3deS6Ry99FDGysObTxyaOORw1sqm+ubzzrrrFGjRo0ZM2bs2LFDhw51JWHoyIQdcOYqKytbtWrV2rVr161bV1RUVFZWlpiS0G1Il6xzMrPO6do1Nz0zN6NTZnKsxzyN6o80VJRUVZRUVxRXVZRUVZRUNdY09ejR46KP6N27d6zHBM4Uwg5oN0pLS4uKio5H3rvvvrt79+5oNJrSrVNmXkbXgemZuRldB6V36ZeW1rdzfGL7u3dttDFaXVpb9UFN9Z6aqg+OVu46eqSkuvZQXUJCQn5+/rBhwwoKCgoKCi688EIHzAEnI+yA9qq2tnbr1q1btmzZtGnTli1bNm/eXFxc3NDQEBcfl9orJT07NSMnNT0nNT07Nb1PaucenTp373QmfLxXf6Sh9mBdTdmx2gN1tQfqag4cO1paW/VBTc3+Yy3RltTU1Ly8vPz8/MGDBw8dOrSgoODcc89NSXE2CXBKhB0Qjqampr179+76f3bu3Hn8QWlpaXNzcyQSiU+K79y9U+cenTpnpaR0T07pmpyckZSUkZScnpicnpSUnpSckZiUmhifGJ+UmhiJRBLTEuMTPuWQtaZjzdHGaN2R+qa6aEtTtPFYc3NDc0NlY11lQ/1//GqsP9JQX9VQV9FQe+BYc300EomkpKTk5ORkZ2f3799/wIAB+fn5+fn5eXl5OTk5bfAHBYRK2AHhi0ajBw8ePHDgwIcfflhWVnb8wYEDB8rLyys/orq6+hNXj4uPS0pPPPFlc320ub75L7xccnJyt27dunfvnpWV9dHfe/Xq1adPn/79+2dnZ/fo0aOV3ySAsAM4IRqNVlZWVlRURCKRo0ePNjY2Hn8mEonU1tbW19dnZmb+2TmncXFxmZmZycnJjz/++Nq1a1966aXMzMzYTA8QiSR++iIAHUN8fHy3bt26dev2Gdbt16/f6tWrVR0QW+3vxDGAM1BqamptbW2spwA6OmEH0AqEHXAmEHYArSA1NbWmpibWUwAdnbADaAU+sQPOBMIOoBWkpaXV1ta6zgAQW8IOoBWkpqZGo9H6+vpYDwJ0aMIOoBWkpqZGIhF7Y4HYEnYArUDYAWcCYQfQCtLS0iKRiBNjgdgSdgCtoE+fPnPnzh04cGCsBwE6NPeKBQAIhE/sAAACIewAAAIh7ABaX2Nj4913352QkDBy5MiPf3fHjh233HJLXl5ep06devbsOXny5Lfeeusvb7CiouKHP/zhgAEDOnXqlJubO3ny5DfffPP0zA60Y46xA2hlmzdv/vrXv15cXFxTUzN8+PC1a9d+9Ltbt2794he/WF1dfcMNN+Tl5ZWUlCxcuDASiRQWFo4aNeoTN1heXj5ixIhdu3ZdffXVF1544Y4dOxYsWJCYmPjWW28NGzasLd4S0E4kxnoAgKBUVVWNGDFi6NCh69atKygo+PgCs2bNKi8vX7FixWWXXXb8malTp15//fW//OUvTxZ299xzz65du+bOnfvd7373+DPXX3/91KlT77rrrpdeeuk0vRGgPRJ2AK2pqalp5syZP/vZz5KSkj5xgUsuuWTkyJEnqi4SiVx77bVJSUlbt2492TaTkpImTJjwne9858QzU6ZM6dy588aNG1txciAAdsUCnC4pKSkFBQV/tiv240pLS/v16zd58uTFixef4pbr6+szMjIuvvjiN95443OPCYTDyRMAMVNbW7tixYqrrroqIyPjRz/60amvOG/evMbGxq985SunbzagPRJ2ALGRmZmZlpY2fvz48847b/369Z94/uwnKiwsnDNnzujRo2+99dbTOiHQ7jjGDiA2brvttvLy8g0bNjz11FO7du2aP3/+oEGDPnWtp59++lvf+lZBQcELL7yQmOjfcOA/cYwdwOlyisfYrVix4stf/nJeXl5RUVF8/El3pLS0tNx777333XfflVdeuXDhwoyMjNaeF2j37IoFiLFx48Zdd91177333l84MbalpeXmm2++7777Zs2atWTJElUHfCJhB9B2SktLzz///G984xt/9nxdXV0kEqmpqTnZirNnz/7Nb35z//33P/roowkJCad3SqDdEnYAbScnJ6e8vHzBggVr1qw58eS2bdtee+219PT04xc0rqurW79+/fbt208s8Nxzzz3yyCPf//7377777hgMDbQfDrwFaE2FhYUvv/zy8cdNTU2lpaV33XXX8S/nzJmTlZU1d+7cadOmjRkzZurUqXl5eaWlpYsWLaqpqfnVr36VkpISiURKSkqGDx8+YcKEpUuXHl/xjjvuiEQi0Wj0xKZOuPPOO7t169ZG7w044zl5AqA1PfDAAyf7XK24uDg/Pz8SiaxZs+aBBx5YuXJleXl5RkbGyJEjv/e9711zzTXHF9uwYcOwYcM+GnZxcXEne7mdO3cOHDiwld8D0G4JOwCAQDjGDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBDCDgAgEMIOACAQwg4AIBD/F7GaG1yWKa7yAAAAAElFTkSuQmCC",
            "text/plain": [
              "Plot with title “Proportion of shooting cases reported in each region of NYC”"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "piepercent<- round(100 * areas$Freq / sum(areas$Freq), 1)\n",
        "\n",
        "pie(\n",
        "  areas$Freq, labels=piepercent,\n",
        "  main = \"Proportion of shooting cases reported in each region of NYC\",\n",
        "  angle=45,\n",
        "  col=areas$BORO\n",
        ")\n",
        "legend(\n",
        "  \"topleft\",\n",
        "  c(\"BRONX\", \"BROOKLYN\", \"MANHATTAN\", \"QUEENS\", \"STATEN ISLAND\"),\n",
        "  cex = 0.85,\n",
        "  fill=areas$BORO\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "waHFMXkF0Ton"
      },
      "source": [
        "### Trend in reported incidents\n",
        "\n",
        "- Line plot to represent the monthly and daily incidents reported"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "g4VhLdSX6aaZ",
        "outputId": "35e18d4b-59d0-4023-ae90-8992f3fae557",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 6 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>OCCUR_DATE</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>January </td><td>1809</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>February</td><td>1444</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>March   </td><td>1797</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>April   </td><td>2068</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>May     </td><td>2682</td></tr>\n",
              "\t<tr><th scope=row>6</th><td>June    </td><td>2959</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 6 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              "  & OCCUR\\_DATE & Freq\\\\\n",
              "  & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & January  & 1809\\\\\n",
              "\t2 & February & 1444\\\\\n",
              "\t3 & March    & 1797\\\\\n",
              "\t4 & April    & 2068\\\\\n",
              "\t5 & May      & 2682\\\\\n",
              "\t6 & June     & 2959\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 6 × 2\n",
              "\n",
              "| <!--/--> | OCCUR_DATE &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 1 | January  | 1809 |\n",
              "| 2 | February | 1444 |\n",
              "| 3 | March    | 1797 |\n",
              "| 4 | April    | 2068 |\n",
              "| 5 | May      | 2682 |\n",
              "| 6 | June     | 2959 |\n",
              "\n"
            ],
            "text/plain": [
              "  OCCUR_DATE Freq\n",
              "1 January    1809\n",
              "2 February   1444\n",
              "3 March      1797\n",
              "4 April      2068\n",
              "5 May        2682\n",
              "6 June       2959"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "months <- subset(data, select=c(OCCUR_DATE))\n",
        "month_df <- as.data.frame(table(months))\n",
        "\n",
        "month_order <- c(\n",
        "  'January', 'February', 'March', 'April', 'May', 'June', 'July',\n",
        "  'August', 'September', 'October', 'November', 'December'\n",
        ")\n",
        "month_df <- month_df %>%\n",
        "  mutate(OCCUR_DATE = factor(OCCUR_DATE, levels = month_order)) %>%\n",
        "  arrange(OCCUR_DATE)\n",
        "\n",
        "head(month_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "GjV1h-UJ6tn1",
        "outputId": "f756d2f9-9a1e-4e76-bf86-9608195ad5a3",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "month_df %>%\n",
        "  ggplot(aes(x=OCCUR_DATE, y=Freq)) +\n",
        "  geom_line(color='orange', group=1) +\n",
        "  geom_point(mapping=aes(x=OCCUR_DATE, y=Freq)) +\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 2))+\n",
        "  geom_text(aes(label=Freq),vjust=-0.35,fontface='bold')+\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.text.x = element_text(angle = 45, hjust = 1),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        plot.title=element_text(color='black', face='bold', hjust = 0.5),\n",
        "        panel.grid.major = element_blank(),\n",
        "        panel.grid.minor = element_blank()\n",
        "        ) +\n",
        "  labs(y=\"Number of victims\", x=\"Month\") +\n",
        "  ggtitle(\"Trend in monthly shooting cases over 10 years\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "Pz1a5pl7AfF0",
        "outputId": "1c3b9540-4932-49e4-f0f3-4be5bdd7bd5d",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 6 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>OCCUR_TIME</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>Early Morning</td><td>2860</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>Morning      </td><td>1223</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>Afternoon    </td><td>4044</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>Evening      </td><td>5747</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>Night        </td><td>6735</td></tr>\n",
              "\t<tr><th scope=row>6</th><td>Midnight     </td><td>7953</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 6 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              "  & OCCUR\\_TIME & Freq\\\\\n",
              "  & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & Early Morning & 2860\\\\\n",
              "\t2 & Morning       & 1223\\\\\n",
              "\t3 & Afternoon     & 4044\\\\\n",
              "\t4 & Evening       & 5747\\\\\n",
              "\t5 & Night         & 6735\\\\\n",
              "\t6 & Midnight      & 7953\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 6 × 2\n",
              "\n",
              "| <!--/--> | OCCUR_TIME &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 1 | Early Morning | 2860 |\n",
              "| 2 | Morning       | 1223 |\n",
              "| 3 | Afternoon     | 4044 |\n",
              "| 4 | Evening       | 5747 |\n",
              "| 5 | Night         | 6735 |\n",
              "| 6 | Midnight      | 7953 |\n",
              "\n"
            ],
            "text/plain": [
              "  OCCUR_TIME    Freq\n",
              "1 Early Morning 2860\n",
              "2 Morning       1223\n",
              "3 Afternoon     4044\n",
              "4 Evening       5747\n",
              "5 Night         6735\n",
              "6 Midnight      7953"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "time <- subset(data, select=c(OCCUR_TIME))\n",
        "time_df <- as.data.frame(table(time))\n",
        "\n",
        "time_order <- c('Early Morning', 'Morning', 'Afternoon', 'Evening', 'Night', 'Midnight')\n",
        "time_df <- time_df %>%\n",
        "  mutate(OCCUR_TIME = factor(OCCUR_TIME, levels = time_order)) %>%\n",
        "  arrange(OCCUR_TIME)\n",
        "\n",
        "head(time_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "g9LOhajKAe7P",
        "outputId": "77df04d5-e07d-4e00-8a38-6c0a081fffd9",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "time_df %>%\n",
        "  ggplot(aes(x=OCCUR_TIME, y=Freq)) +\n",
        "  geom_line(color='pink', group=1) +\n",
        "  geom_point(mapping=aes(x=OCCUR_TIME, y=Freq)) +\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 2))+\n",
        "  geom_text(aes(label=Freq),vjust=-0.35,fontface='bold')+\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.text.x = element_text(angle = 45, hjust = 1),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        plot.title=element_text(color='black', face='bold', hjust = 0.5),\n",
        "        panel.grid.major = element_blank(),\n",
        "        panel.grid.minor = element_blank()\n",
        "        ) +\n",
        "  labs(y=\"Number of victims\", x=\"Time of the day\") +\n",
        "  ggtitle(\"Incident occurence time during the day over 10 years\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ynfxbpN-0YzS"
      },
      "source": [
        "### Age group analysis\n",
        "\n",
        "- Bar plot to obtain the number of victims in age group\n",
        "- Radial plot to compare each age group values and compare their ratios"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "YoxkPs4dEKQo",
        "outputId": "ce54f383-c35f-4aa3-a399-e54ba4580043",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 5 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>VIC_AGE_GROUP</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>0-18  </td><td> 2954</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>18-25 </td><td>10384</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>25-45 </td><td>12973</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>45-65 </td><td> 1981</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>65-100</td><td>  205</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 5 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              "  & VIC\\_AGE\\_GROUP & Freq\\\\\n",
              "  & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & 0-18   &  2954\\\\\n",
              "\t2 & 18-25  & 10384\\\\\n",
              "\t3 & 25-45  & 12973\\\\\n",
              "\t4 & 45-65  &  1981\\\\\n",
              "\t5 & 65-100 &   205\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 5 × 2\n",
              "\n",
              "| <!--/--> | VIC_AGE_GROUP &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 1 | 0-18   |  2954 |\n",
              "| 2 | 18-25  | 10384 |\n",
              "| 3 | 25-45  | 12973 |\n",
              "| 4 | 45-65  |  1981 |\n",
              "| 5 | 65-100 |   205 |\n",
              "\n"
            ],
            "text/plain": [
              "  VIC_AGE_GROUP Freq \n",
              "1 0-18           2954\n",
              "2 18-25         10384\n",
              "3 25-45         12973\n",
              "4 45-65          1981\n",
              "5 65-100          205"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "age_groups <- subset(data, select=c(VIC_AGE_GROUP))\n",
        "age_df <- as.data.frame(table(age_groups))\n",
        "age_df <- filter(age_df, VIC_AGE_GROUP!='1022' & VIC_AGE_GROUP!='UNKNOWN')\n",
        "head(age_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "OUUvnHJ8FXFi",
        "outputId": "27b87404-086d-4e83-d6a2-f25dadf08cb4",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "age_df %>%\n",
        "  ggplot(aes(x=VIC_AGE_GROUP, y=Freq, fill=VIC_AGE_GROUP)) +\n",
        "  geom_bar(stat='identity', color='black') +\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 2))+\n",
        "  geom_text(aes(label=Freq),vjust=-0.25,fontface='bold')+\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.position = \"bottom\",\n",
        "        plot.title=element_text(color='black', face='bold', hjust = 0.5),\n",
        "        panel.grid.major = element_blank(),\n",
        "        panel.grid.minor = element_blank()\n",
        "        ) +\n",
        "  labs(y=\"No. of victims\", x=\"Age group\") +\n",
        "  ggtitle(\"Age groups of shooting case victims\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        },
        "id": "ncTcjoQiKm6c",
        "outputId": "6de7df9a-58c7-426a-c5ed-d103ca208b82",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 3 × 5</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>0-18</th><th scope=col>18-25</th><th scope=col>25-45</th><th scope=col>45-65</th><th scope=col>65-100</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>12973</td><td>12973</td><td>12973</td><td>12973</td><td>12973</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>    0</td><td>    0</td><td>    0</td><td>    0</td><td>    0</td></tr>\n",
              "\t<tr><th scope=row>3</th><td> 2954</td><td>10384</td><td>12973</td><td> 1981</td><td>  205</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 3 × 5\n",
              "\\begin{tabular}{r|lllll}\n",
              "  & 0-18 & 18-25 & 25-45 & 45-65 & 65-100\\\\\n",
              "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
              "\\hline\n",
              "\t1 & 12973 & 12973 & 12973 & 12973 & 12973\\\\\n",
              "\t2 &     0 &     0 &     0 &     0 &     0\\\\\n",
              "\t3 &  2954 & 10384 & 12973 &  1981 &   205\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 3 × 5\n",
              "\n",
              "| <!--/--> | 0-18 &lt;dbl&gt; | 18-25 &lt;dbl&gt; | 25-45 &lt;dbl&gt; | 45-65 &lt;dbl&gt; | 65-100 &lt;dbl&gt; |\n",
              "|---|---|---|---|---|---|\n",
              "| 1 | 12973 | 12973 | 12973 | 12973 | 12973 |\n",
              "| 2 |     0 |     0 |     0 |     0 |     0 |\n",
              "| 3 |  2954 | 10384 | 12973 |  1981 |   205 |\n",
              "\n"
            ],
            "text/plain": [
              "  0-18  18-25 25-45 45-65 65-100\n",
              "1 12973 12973 12973 12973 12973 \n",
              "2     0     0     0     0     0 \n",
              "3  2954 10384 12973  1981   205 "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "max_val <- max(age_df$Freq)\n",
        "min_val <- 0\n",
        "\n",
        "# Create the radar plot dataframe\n",
        "radar_df <- rbind(\n",
        "  rep(max_val, nrow(age_df)),\n",
        "  rep(min_val, nrow(age_df)),\n",
        "  age_df$Freq\n",
        ")\n",
        "colnames(radar_df) <- age_df$VIC_AGE_GROUP\n",
        "radar_df <- as.data.frame(radar_df)\n",
        "head(radar_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "BXiGmYK7IRbz",
        "outputId": "8ca3566f-ebcf-472e-debc-9aef4867bca7",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "Plot with title “Victim Age Group Frequency”"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "radarchart(\n",
        "  radar_df, axistype = 1,\n",
        "  pcol=rgb(0.2,0.5,0.5,0.9) , pfcol=rgb(0.2,0.5,0.5,0.5), plwd = 4,\n",
        "  cglcol = 'grey', cglty = 1, axislabcol = 'grey',\n",
        "  caxislabels = seq(0, max_val, max_val / 4), cglwd = 1.5,\n",
        "  vlcex = 0.8, title = \"Victim Age Group Frequency\"\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JGJRhuku0ck9"
      },
      "source": [
        "### Ethnicity analysis\n",
        "\n",
        "- Donut plot to represent the proportion of each ethnicity"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "gzID20p6-Cw9",
        "outputId": "7eee4278-f8cc-4b94-9bbf-8a77b5a82690",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 6 × 2</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>VIC_RACE</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>AMERICAN INDIAN/ALASKAN NATIVE</td><td>   11</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>ASIAN / PACIFIC ISLANDER      </td><td>  440</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>BLACK                         </td><td>20235</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>BLACK HISPANIC                </td><td> 2795</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>WHITE                         </td><td>  728</td></tr>\n",
              "\t<tr><th scope=row>6</th><td>WHITE HISPANIC                </td><td> 4283</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 6 × 2\n",
              "\\begin{tabular}{r|ll}\n",
              "  & VIC\\_RACE & Freq\\\\\n",
              "  & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & AMERICAN INDIAN/ALASKAN NATIVE &    11\\\\\n",
              "\t2 & ASIAN / PACIFIC ISLANDER       &   440\\\\\n",
              "\t3 & BLACK                          & 20235\\\\\n",
              "\t4 & BLACK HISPANIC                 &  2795\\\\\n",
              "\t5 & WHITE                          &   728\\\\\n",
              "\t6 & WHITE HISPANIC                 &  4283\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 6 × 2\n",
              "\n",
              "| <!--/--> | VIC_RACE &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 1 | AMERICAN INDIAN/ALASKAN NATIVE |    11 |\n",
              "| 2 | ASIAN / PACIFIC ISLANDER       |   440 |\n",
              "| 3 | BLACK                          | 20235 |\n",
              "| 4 | BLACK HISPANIC                 |  2795 |\n",
              "| 5 | WHITE                          |   728 |\n",
              "| 6 | WHITE HISPANIC                 |  4283 |\n",
              "\n"
            ],
            "text/plain": [
              "  VIC_RACE                       Freq \n",
              "1 AMERICAN INDIAN/ALASKAN NATIVE    11\n",
              "2 ASIAN / PACIFIC ISLANDER         440\n",
              "3 BLACK                          20235\n",
              "4 BLACK HISPANIC                  2795\n",
              "5 WHITE                            728\n",
              "6 WHITE HISPANIC                  4283"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "victim_race <- subset(data, select=c(VIC_RACE))\n",
        "race_df <- as.data.frame(table(victim_race))\n",
        "race_df <- filter(race_df, VIC_RACE!='UNKNOWN')\n",
        "head(race_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "id": "0LBstUZe1vLs",
        "outputId": "09b891bc-9220-44ce-f80c-93a7993add98",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 5 × 5</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>VIC_RACE</th><th scope=col>Freq</th><th scope=col>fraction</th><th scope=col>ymax</th><th scope=col>ymin</th></tr>\n",
              "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>ASIAN / PACIFIC ISLANDER</td><td>  440</td><td>0.0154489</td><td>0.0154489</td><td>0.0000000</td></tr>\n",
              "\t<tr><td>BLACK                   </td><td>20235</td><td>0.7104736</td><td>0.7259225</td><td>0.0154489</td></tr>\n",
              "\t<tr><td>BLACK HISPANIC          </td><td> 2795</td><td>0.0981356</td><td>0.8240581</td><td>0.7259225</td></tr>\n",
              "\t<tr><td>WHITE                   </td><td>  728</td><td>0.0255609</td><td>0.8496190</td><td>0.8240581</td></tr>\n",
              "\t<tr><td>WHITE HISPANIC          </td><td> 4283</td><td>0.1503810</td><td>1.0000000</td><td>0.8496190</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 5 × 5\n",
              "\\begin{tabular}{lllll}\n",
              " VIC\\_RACE & Freq & fraction & ymax & ymin\\\\\n",
              " <fct> & <int> & <dbl> & <dbl> & <dbl>\\\\\n",
              "\\hline\n",
              "\t ASIAN / PACIFIC ISLANDER &   440 & 0.0154489 & 0.0154489 & 0.0000000\\\\\n",
              "\t BLACK                    & 20235 & 0.7104736 & 0.7259225 & 0.0154489\\\\\n",
              "\t BLACK HISPANIC           &  2795 & 0.0981356 & 0.8240581 & 0.7259225\\\\\n",
              "\t WHITE                    &   728 & 0.0255609 & 0.8496190 & 0.8240581\\\\\n",
              "\t WHITE HISPANIC           &  4283 & 0.1503810 & 1.0000000 & 0.8496190\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 5 × 5\n",
              "\n",
              "| VIC_RACE &lt;fct&gt; | Freq &lt;int&gt; | fraction &lt;dbl&gt; | ymax &lt;dbl&gt; | ymin &lt;dbl&gt; |\n",
              "|---|---|---|---|---|\n",
              "| ASIAN / PACIFIC ISLANDER |   440 | 0.0154489 | 0.0154489 | 0.0000000 |\n",
              "| BLACK                    | 20235 | 0.7104736 | 0.7259225 | 0.0154489 |\n",
              "| BLACK HISPANIC           |  2795 | 0.0981356 | 0.8240581 | 0.7259225 |\n",
              "| WHITE                    |   728 | 0.0255609 | 0.8496190 | 0.8240581 |\n",
              "| WHITE HISPANIC           |  4283 | 0.1503810 | 1.0000000 | 0.8496190 |\n",
              "\n"
            ],
            "text/plain": [
              "  VIC_RACE                 Freq  fraction  ymax      ymin     \n",
              "1 ASIAN / PACIFIC ISLANDER   440 0.0154489 0.0154489 0.0000000\n",
              "2 BLACK                    20235 0.7104736 0.7259225 0.0154489\n",
              "3 BLACK HISPANIC            2795 0.0981356 0.8240581 0.7259225\n",
              "4 WHITE                      728 0.0255609 0.8496190 0.8240581\n",
              "5 WHITE HISPANIC            4283 0.1503810 1.0000000 0.8496190"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "race_df <- filter(race_df, VIC_RACE!='UNKNOWN', VIC_RACE!='AMERICAN INDIAN/ALASKAN NATIVE')\n",
        "# Compute percentages\n",
        "race_df$fraction = race_df$Freq / sum(race_df$Freq)\n",
        "# Compute the cumulative percentages (top of each rectangle)\n",
        "race_df$ymax = cumsum(race_df$fraction)\n",
        "# Compute the bottom of each rectangle\n",
        "race_df$ymin = c(0, head(race_df$ymax, n=-1))\n",
        "\n",
        "View(race_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "eh7ZmXLSvS47",
        "outputId": "09b0a048-b85b-48fa-b12e-1f7c230d062f",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "race_df$label <- paste0(race_df$VIC_RACE, \"\\n value: \", race_df$Freq)\n",
        "race_df$labelPosition <- (race_df$ymax + race_df$ymin) / 2\n",
        "\n",
        "# Make the plot\n",
        "ggplot(race_df, aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3, fill=VIC_RACE)) +\n",
        "  geom_rect() +\n",
        "  # geom_text( x=2, aes(y=labelPosition, label=label, color=VIC_RACE), size=6) +\n",
        "  geom_label(x=5, aes(y=labelPosition, label=label), size=4) +\n",
        "  coord_polar(theta=\"y\") +\n",
        "  xlim(c(-2, 5)) +\n",
        "  theme_void() +\n",
        "  theme(legend.position = \"none\") +\n",
        "  ggtitle(\"Race of victims\") +\n",
        "  theme(plot.title=element_text(color='black', face='bold', hjust = 0.5))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zyr0DOy-I43k"
      },
      "source": [
        "### Incidents reported in each locality\n",
        "\n",
        "Each region of NYC has well demarcated localities: commercial, dwelling, parking lot, playgroun, etc. The objective here is to compare the number of incidents reported in each of these localities in each region as a bar plot. To visualize the data as a bar plot, the data was wrangled as explained below:\n",
        "\n",
        "1. **Enrich raw data**- aggregation of 'BORO' and 'LOC_CLASSFCTN_DESC' columns\n",
        "2. **Structure the data**- represent the data as a pivot table indexed by 'BORO' and having 'LOC_CLASSFCTN_DESC' as the column values\n",
        "3. **Selection**- drop the rows and columns that add little to no value"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 844
        },
        "id": "9nJrRhatVp3x",
        "outputId": "018469a2-bd69-4523-9edd-893a43dac0b4",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\u001b[1m\u001b[22m`summarise()` has grouped output by 'BORO'. You can override using the\n",
            "`.groups` argument.\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A grouped_df: 23 × 3</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>BORO</th><th scope=col>LOC_CLASSFCTN_DESC</th><th scope=col>Frequency</th></tr>\n",
              "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>BRONX        </td><td>STREET     </td><td>132</td></tr>\n",
              "\t<tr><td>BRONX        </td><td>HOUSING    </td><td>116</td></tr>\n",
              "\t<tr><td>BRONX        </td><td>DWELLING   </td><td> 62</td></tr>\n",
              "\t<tr><td>BRONX        </td><td>COMMERCIAL </td><td> 47</td></tr>\n",
              "\t<tr><td>BRONX        </td><td>PARKING LOT</td><td>  2</td></tr>\n",
              "\t<tr><td>BROOKLYN     </td><td>HOUSING    </td><td>188</td></tr>\n",
              "\t<tr><td>BROOKLYN     </td><td>DWELLING   </td><td> 87</td></tr>\n",
              "\t<tr><td>BROOKLYN     </td><td>STREET     </td><td> 81</td></tr>\n",
              "\t<tr><td>BROOKLYN     </td><td>COMMERCIAL </td><td> 64</td></tr>\n",
              "\t<tr><td>BROOKLYN     </td><td>PARKING LOT</td><td>  1</td></tr>\n",
              "\t<tr><td>MANHATTAN    </td><td>HOUSING    </td><td>105</td></tr>\n",
              "\t<tr><td>MANHATTAN    </td><td>STREET     </td><td> 48</td></tr>\n",
              "\t<tr><td>MANHATTAN    </td><td>COMMERCIAL </td><td> 36</td></tr>\n",
              "\t<tr><td>MANHATTAN    </td><td>DWELLING   </td><td> 16</td></tr>\n",
              "\t<tr><td>QUEENS       </td><td>STREET     </td><td> 77</td></tr>\n",
              "\t<tr><td>QUEENS       </td><td>DWELLING   </td><td> 42</td></tr>\n",
              "\t<tr><td>QUEENS       </td><td>HOUSING    </td><td> 39</td></tr>\n",
              "\t<tr><td>QUEENS       </td><td>COMMERCIAL </td><td> 28</td></tr>\n",
              "\t<tr><td>QUEENS       </td><td>PARKING LOT</td><td>  5</td></tr>\n",
              "\t<tr><td>STATEN ISLAND</td><td>DWELLING   </td><td> 11</td></tr>\n",
              "\t<tr><td>STATEN ISLAND</td><td>STREET     </td><td>  7</td></tr>\n",
              "\t<tr><td>STATEN ISLAND</td><td>HOUSING    </td><td>  5</td></tr>\n",
              "\t<tr><td>STATEN ISLAND</td><td>COMMERCIAL </td><td>  3</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A grouped\\_df: 23 × 3\n",
              "\\begin{tabular}{lll}\n",
              " BORO & LOC\\_CLASSFCTN\\_DESC & Frequency\\\\\n",
              " <chr> & <chr> & <int>\\\\\n",
              "\\hline\n",
              "\t BRONX         & STREET      & 132\\\\\n",
              "\t BRONX         & HOUSING     & 116\\\\\n",
              "\t BRONX         & DWELLING    &  62\\\\\n",
              "\t BRONX         & COMMERCIAL  &  47\\\\\n",
              "\t BRONX         & PARKING LOT &   2\\\\\n",
              "\t BROOKLYN      & HOUSING     & 188\\\\\n",
              "\t BROOKLYN      & DWELLING    &  87\\\\\n",
              "\t BROOKLYN      & STREET      &  81\\\\\n",
              "\t BROOKLYN      & COMMERCIAL  &  64\\\\\n",
              "\t BROOKLYN      & PARKING LOT &   1\\\\\n",
              "\t MANHATTAN     & HOUSING     & 105\\\\\n",
              "\t MANHATTAN     & STREET      &  48\\\\\n",
              "\t MANHATTAN     & COMMERCIAL  &  36\\\\\n",
              "\t MANHATTAN     & DWELLING    &  16\\\\\n",
              "\t QUEENS        & STREET      &  77\\\\\n",
              "\t QUEENS        & DWELLING    &  42\\\\\n",
              "\t QUEENS        & HOUSING     &  39\\\\\n",
              "\t QUEENS        & COMMERCIAL  &  28\\\\\n",
              "\t QUEENS        & PARKING LOT &   5\\\\\n",
              "\t STATEN ISLAND & DWELLING    &  11\\\\\n",
              "\t STATEN ISLAND & STREET      &   7\\\\\n",
              "\t STATEN ISLAND & HOUSING     &   5\\\\\n",
              "\t STATEN ISLAND & COMMERCIAL  &   3\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A grouped_df: 23 × 3\n",
              "\n",
              "| BORO &lt;chr&gt; | LOC_CLASSFCTN_DESC &lt;chr&gt; | Frequency &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| BRONX         | STREET      | 132 |\n",
              "| BRONX         | HOUSING     | 116 |\n",
              "| BRONX         | DWELLING    |  62 |\n",
              "| BRONX         | COMMERCIAL  |  47 |\n",
              "| BRONX         | PARKING LOT |   2 |\n",
              "| BROOKLYN      | HOUSING     | 188 |\n",
              "| BROOKLYN      | DWELLING    |  87 |\n",
              "| BROOKLYN      | STREET      |  81 |\n",
              "| BROOKLYN      | COMMERCIAL  |  64 |\n",
              "| BROOKLYN      | PARKING LOT |   1 |\n",
              "| MANHATTAN     | HOUSING     | 105 |\n",
              "| MANHATTAN     | STREET      |  48 |\n",
              "| MANHATTAN     | COMMERCIAL  |  36 |\n",
              "| MANHATTAN     | DWELLING    |  16 |\n",
              "| QUEENS        | STREET      |  77 |\n",
              "| QUEENS        | DWELLING    |  42 |\n",
              "| QUEENS        | HOUSING     |  39 |\n",
              "| QUEENS        | COMMERCIAL  |  28 |\n",
              "| QUEENS        | PARKING LOT |   5 |\n",
              "| STATEN ISLAND | DWELLING    |  11 |\n",
              "| STATEN ISLAND | STREET      |   7 |\n",
              "| STATEN ISLAND | HOUSING     |   5 |\n",
              "| STATEN ISLAND | COMMERCIAL  |   3 |\n",
              "\n"
            ],
            "text/plain": [
              "   BORO          LOC_CLASSFCTN_DESC Frequency\n",
              "1  BRONX         STREET             132      \n",
              "2  BRONX         HOUSING            116      \n",
              "3  BRONX         DWELLING            62      \n",
              "4  BRONX         COMMERCIAL          47      \n",
              "5  BRONX         PARKING LOT          2      \n",
              "6  BROOKLYN      HOUSING            188      \n",
              "7  BROOKLYN      DWELLING            87      \n",
              "8  BROOKLYN      STREET              81      \n",
              "9  BROOKLYN      COMMERCIAL          64      \n",
              "10 BROOKLYN      PARKING LOT          1      \n",
              "11 MANHATTAN     HOUSING            105      \n",
              "12 MANHATTAN     STREET              48      \n",
              "13 MANHATTAN     COMMERCIAL          36      \n",
              "14 MANHATTAN     DWELLING            16      \n",
              "15 QUEENS        STREET              77      \n",
              "16 QUEENS        DWELLING            42      \n",
              "17 QUEENS        HOUSING             39      \n",
              "18 QUEENS        COMMERCIAL          28      \n",
              "19 QUEENS        PARKING LOT          5      \n",
              "20 STATEN ISLAND DWELLING            11      \n",
              "21 STATEN ISLAND STREET               7      \n",
              "22 STATEN ISLAND HOUSING              5      \n",
              "23 STATEN ISLAND COMMERCIAL           3      "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "region_loc <- data %>% drop_na()\n",
        "region_loc_df <- region_loc %>%\n",
        "  group_by(BORO, LOC_CLASSFCTN_DESC) %>%\n",
        "  summarise(Frequency = n()) %>%\n",
        "  arrange(BORO, desc(Frequency))\n",
        "region_loc_df <- filter(region_loc_df, LOC_CLASSFCTN_DESC!='OTHER')\n",
        "\n",
        "View(region_loc_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "YzTczpbKI5zF",
        "outputId": "7ac7666d-81b2-4636-e4c5-c8b7648ad40c",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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MiYnZt2/fmTNn8vLyBg0aNGbMmNdff33//v2pqanp6el//vnnzp07pTkbN26sfP2lKPjevXujRo26fPnyhQsXhgwZkpmZKYSoU6eOtMM8+vYtsstKKlS4dayqxDrlB3ZcuXLlr7/+yszMXLly5dq1ax0dHYUQly5dkh4IXLr9s9QUbrUSq1LYOyWK3A2kFunZhPn5+d9++60QIjg4WD5AC+CxKo9bcZ8U8uNO9u7da9p++vRp0wti5Med5OXlPfvss6ajp9Vqw8LCpFO03t7e0mxFPmhUfrqv6RN95UdSnThxQmqRz/+OHj1afmKcxNbWds+ePfKyRV6VbGdn98svv5gpw4zPP/+8yMuP2rRpIz/E1fjIjzspUIx8I6e8tnHjxhWuQafTbd++vbhVpaWlFc4lU6dOlSYqV6786INWoM709HR5HCQPHjz44YcfCjx6WvbRRx8pHytTygseMWKEfBu1pMAOo2T7mimmyC4rqVD51ilxZJTvRZaOZF5enukTj6Vf//nz58t379ra2q5bt85Yqv1TYZFFLqjwt9J8VQp7p2TAi9sNJPKN4UKIDRs2FLctAFgVR+yK0KxZszFjxhRut7W1jYqKGjp0qIeHh5OT0/PPP793794ePXpIj5WSDqo9IvkC8yZNmhw9erRfv37u7u7Ozs4dOnQIDw/v2bOnPOeGDRvWrVvXoUMHd3d3rVbr4+MzbNiwEydO9OrVq3Rv/f777x89enTw4MG+vr52dnbu7u7t2rVbvHhxZGSkpZfSP4rly5f/9NNPXbt2rVy5sp2dna+v7+uvv37q1Kl+/foVt4iLi0tkZOSIESMqV67s6Oj43HPPrVq16tNPP5UeKyOf0RZlN2jOzs5btmxp1qyZTqerVKlShw4d7O3thwwZEhkZOXLkSD8/P2dnZ2n9/fv33717d6m/g1h5wd7e3kePHn3ppZeK22EecfsW2WUlFSrfOlZlvk5bW9udO3cOHz7cx8fH0dExICBg06ZNH3zwwdy5c5s1a6bVan19faWTmKXYPx+Fwq1mvirlvStRcbuB5I033pBne/nll8tyIAAopjE+8r3uAMrLvHnz/vWvfwkhQkJCvvjii/IuB0+17777Tsp2w4YNK/E2cABWwhE7QA34Dw3lKz8//6uvvpKmx44dW77FAE8zHncCACi9Q4cO5eTkrF69+o8//hBCtG/fXv5uDACPH8EOAFB6o0ePlp+o4uzsvGLFivKtB3jKcSoWAFB60iOgq1Sp0rt37xMnThR4dACAx4ybJwAAAFSCI3YAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdKph58+ZpNBqNRhMSEmKN9cfHx0vrr1atmpl3TElJGTVqlLe3t1ar9fDw+Pnnn4trRGHW3ogA8NQi2AGlMWXKlHXr1iUmJgohnJ2dc3Jyimt8cmzbtk2j0QQHB5d3IQAAa9GWdwGAZYYOHRoUFCSEqFGjRjm+Y0REhDQRHh7euXNnM41Pjm3btpV3Cf/n8W9EAHhKEOxQwdSqVatWrVrl/o4PHz6UJpo2bWq+8QmRl5e3e/fu8q7i/zz+jQgATwlOxaKCKXx51owZM6SWjRs3pqSkjBs3zsfHx8HBISAgYMuWLebX9vDhw4kTJ/r6+jo6OjZp0mTZsmUlvuMbb7yh0WiSk5OlV728vDT/VaBx3bp10o+bN28ODg6uXLmyTqerW7fu5MmTU1NT5fXL9W/atOnAgQP+/v6Ojo4xMTHyDAoXN9P94OBgOzu7Bw8eCCEiIiI0Go2np2eRA/KIxQghHjx48M9//tPX19fBwaFx48aLFy82Go1OTk4ajcbNza24jSiJiYkZNmxYrVq1dDqdh4dHq1at5s6dm56eblFnJfHx8RMmTPD393dycnJ2dm7QoMHbb799/vz5InsNAKrBETtUeI6OjtLEvXv3goODT548Kf14+vTpwYMH29vb9+/fv8gFs7Ozu3TpIs9/7ty5d9991zTElIkxY8asWbNGmtZqtVeuXFm4cOEvv/xy5MiRSpUqmdZ/8+bNSZMmSZfoZWdnW7q4pd0v0iMWk5WV1blz59OnT0vznD9/fsKECbdu3crKyhJCODg4mHnrL7/88r333jMajdKPubm5MTExMTExa9eujYiIqFmzpvLOXr58OSgoKCkpSV75pUuXLl26tGnTpt27d3fs2FH5gABAxcIRO1R4Go1Gmvj666/v3bu3ePHiJUuWVK1aVWqcN29ecQsuW7ZMSgZeXl579+69e/fu5s2bSzzIt2TJksTExMqVK0s/Xrx4MTExMSkpqXDja6+9tmnTJikJNWjQ4O+//87Kylq+fLkQ4sKFC1OnTi1Q/5o1azIyMl577bVx48ZJR9QsWtxM90NDQ+VbdDt27JiYmPj333+bH8zSFbN06VIp1bm4uGzYsOHixYsrV678+uuvpVdtbIr9g3Pw4EEp1Wm12tmzZ585cyYiIqJly5ZCiEuXLr3++uvKOyuEmD9/vpTqli5deu/evZSUlJ07d7q4uKSlpb311lvF1QAAamAEKpS5c+dKu+7EiRMLtGi12suXL0uNYWFhUqOTk1Nxq2rVqpU0j3S6UPLJJ59IjVWrVi3uHY1GY5UqVaTGxMREM42tW7eWWrZu3SrPJh0xcnR0zMjIMF2/ECIiIsK0QosWN9/98PBwqaVr165Khrd0xUhRTAjx8ccfy/N88MEHJQ7piy++KLXMnDlTXjA5OdnFxUVqP3XqlPLOdunSRWq5evWqvLZ9+/bt2LEjJibGYDCYGQEAqNA4Ygf16NKlS506deRp6ehOZmZmgYvAZPJRq65du8qNvXv3Lqt6srOz5XOFcogUQrRv314IkZWVdfz4cdP5W7VqJSeSUixuaffNK0Ux+fn5Z86ckdoHDRokz/Pyyy+bfy+9Xn/w4MHCC1auXLlDhw7S9KFDh0wXMd/Z+vXrSy+1bt363Xff/fHHH+Pj47t37963b9+WLVvKh/0AQH24xg7qIX/SCyHs7OxcXV2l21T1en3hmU0TT/Xq1eV2Hx+fsqonOTk5Pz9fmq5du3bhGf7++2/Tp6I0atToURa3qPslKkUxAQEBubm50o++vr7ySyXeAHvv3j35Mj7pWjqZ/OOtW7dM2813dubMmREREXFxcYmJicuWLZPuiWnUqNG77747duxYrZa/ewBUiz9wUA+dTmf6o/kDM8b/XqQvhDB9krDBYCjzwoQQtWrVKvFAkXT/QakXt6j7JSpFMfb29vK0aZo0HeoSFZhZ/rHA9XnmO1u1atU//vhj9erVW7duPX78eF5enhDi/Pnz48ePP3r06MaNG5XXAwAVC8EOTylnZ2d3d3fpoF1CQoJ8Af61a9fK6i08PT21Wq2UKo4fPy5/R9njWbxsKSzGzc1NOnJ2+/Ztb29vqfH69evmV+7t7e3g4CAdtLt+/brpUwDlZS197p2Li0tISEhISEhWVtaJEyd++eWXJUuWZGZmbtq0afLkyQEBARatDQAqCq6xw9OrXr160oTpk3u3bt1aVuvX6XSBgYHS9JEjR+T2CxcunDx58vr16+ZPkj7i4sWRT3paRGExdevWldp37twpz1Pid+ba2dl16tRJmg4NDZXbk5KSoqKipGnl34SWk5MTHR29Zs0a6X4RR0fHjh07zp8/f/LkydIM8fHxClcFABUOR+zw9Bo0aJB0Q8DcuXNr164dFBQUHh6+cuXKMnyLd95559ixY0KIkJAQZ2fnFi1a/Pnnn0OHDk1KSnJ3d79y5Yr8hBRrLG5KPrUaExOzb98+Hx+fRo0aWXS1mZJiBgwY8Mcffwgh5s6dW61atbZt2/72229FPva5gA8//HDfvn1Go3H27NkeHh69evW6efPm+++/Lz0Ab9CgQQ0bNlRe6qBBg+7cuVOtWrUNGza0atXK1tY2Li5OzpqNGzdWvioAqFg4Yoen1/jx46W4kJmZ+frrrzdo0ODdd9997733pFdLdzysgBEjRgwbNkwIcfPmzRdffNHb27t79+5JSUl2dnbff/99ibHsERc35e/vLz2NJScn58UXX2zWrJnpNzqUVV8mTJggHQfNzs4eO3Zss2bNJk6c+M9//rPElXfq1GnBggUajUav14eEhDRo0KBr165//vmnEKJNmzarVq1SXqdOp/viiy/s7Ozu3LnTrVs3Dw8PV1fX5s2bS2v76KOPTG+8AACVIdjh6eXi4hIZGTlixIjKlSs7Ojo+99xzq1at+vTTT21tbYUQ0rGiR7dhw4Z169Z16NDB3d1dq9X6+PgMGzbsxIkTvXr1egyLy5ydnbds2dKsWTOdTlepUqUOHTqY3utQVn1xc3OLjIwcOnSoNKQBAQFr1qyRs7L5+znef//9o0ePDh482NfX187Ozt3dvV27dosXL46MjDRzJ0eRhgwZEhkZOXLkSD8/P2dnZ6nU/v3779692/RBfQCgPhqLblgDAEtdvHjR399fCNGgQYOLFy+WdzkAoGZcYwegzPz111+RkZFXr15t3br14MGDpUb54cPPPvtsuVUGAE8Hgh2AMnP58mXpijpPT09vb+/AwMCYmJhPP/1UenXEiBHlWh0AqB+nYgGUmfz8/CFDhhT5yJg333xzzZo1j78kAHiqEOwAlCW9Xr9p06Zvvvnm7NmzGRkZHh4ezZs3HzNmjHxmFgBgPQQ7AAAAleBxJwAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqEQF/kqxGzduZGRklHcVShkMBqPRaGtrW96FPNGkUbKxsdFoNOVdy5OLUVLCaDQaDAaNRmNjw7+v5uTn51esUXJzc/P19S3vKoAnVwV+QPHYsWN1Op2Tk1N5F6KIXq83GAw6na68C3mi5eXl5efn29vbE1nMyM/Pz8vLs7Ozq0Afxo+fwWDQ6/VarZb/pswwGo25ubm2trZabcX4Jz81NdXNzW3+/PnlXQjw5KoYv8zFmTJlSs2aNcu7CkVSU1P1en2VKlWILGakp6dnZ2d7eHhUlI+ZcpGVlZWRkeHq6sr/CWbo9frU1FQnJ6eK8r9fuTAYDPfv39fpdK6uruVdiyJnzpzZuHFjeVcBPNH4jx8AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBLa8i4ATyPNwRmlWMrY6dMyrwQAADXhiB0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUQlveBZSewWDIysrKyMgo70IUyc/PF0JkZGRoNJryrqWiqijb2try8vKEEDk5OdIEimQwGIQQer2e3cYMo9EohO/FPt4AACAASURBVMjLy6soo5SVlSVtWQDFqcDBTqPR2NraarUVowu5ublCCK1WS7ArtYqyra1N+mCzsbFhQMyQ/pVilMyTgl0FGiX+hAIlqhi/zEXSaDT29vY6na68C1EkOzs7Pz9fp9PxV6nUKsq2tjaDwZCTk2NnZ8eAmKHX64UQtra2jJIZ8j8JFWWU7Ozs+BMKmMc1dgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlSDYAQAAqATBDgAAQCUIdgAAACpBsAMAAFAJgh0AAIBKEOwAAABUgmAHAACgEgQ7AAAAlbB6sNuyZUu1atU0Gs2XX34pN7q7u2v+14ULF4QQSUlJgwcP9vHxqVKlSu/eva9evWrt8gAAAFRDa9W19+3bd9euXVWqVDFtNBgMaWlpLi4uEydOlBs9PT2FECNGjAgLCwsKCnJ2dt6zZ0/fvn1Pnz5tY8NhRQAAgJJZN9hdvHgxIiIiNDR06dKlcmNKSorRaPTx8Zk1a5bpzNeuXQsLC/Pz84uOjraxsenYsWNUVFRkZGSnTp2sWiQAAIA6WDfY/fXXXzqdLjQ01LQxJSVFCJGTk9O5c+eYmBg/P7/p06e/+uqrJ0+eFEIEBgZKh+iCgoKioqJOnDghB7u8vLzMzEx5Pcb/smoXylbFqvZJw+hJpHGocDv/YyYPDqNkRoUbpYpSJ1COrBvsdDpd4cYHDx4IIa5fv+7p6dm6desDBw4MHjy4Ro0aycnJQggPDw9pNmkiKSlJXjAqKmrKlCnyj3Xr1k1JSXFycrJqF8rW/fv3y7uECkzaQyBJT09PT08v7yqedJmZmab/DaJIOTk5OTk55V2FIqmpqXl5eeVdBfBEs26wK1Lt2rV/+uknJyenXr16CSHGjx+/dOnSdevWBQYGms4m/Wem0WjklsqVK7du3Vr+MTU1VavV2tnZPa7CH0leXp7RaKwo1T6ZGD1Jfn6+wWCwtbXl8lMzjEZjXl4eo1QivV5vY2Nja2tb3oUootVqTT8UABRWDsHO09Nz0KBB8o/PP//80qVLb9++7eXlJf57olYIkZqaKoSQGiXPPffcsmXL5B/Hjh3r6urq7u7+mOp+NKmpqXq93s3Njb9KpVZRtrW1ZWVlZWRkODk5FXlEHBK9Xp+amqrT6SrWQf3HzGAw3L9/387OztXVtbxrUcTFxaWiZFCgvJTD/7I///xzYGDgpEmTpB+PHz8uhGjYsGFgYKBGo4mJiZGOtEdHRwshgoKCHn+FAAAAFZEVj9hlZmbOmTNH/De67dmzJykpyc/Pr0uXLhcvXjx58uS5c+dsbW3DwsIcHR3Hjx9fs2bNfv36bd++/YUXXnB2dj5y5EjLli2ff/5561UIAACgJtYNdrNnz5Z/DA8PDw8Pf+GFF0aPHh0eHj5t2rSYmJjs7OzOnTsvWrTIz89PCLF27VpnZ+eIiIi8vLyXX3558eLFnLgEAABQyIrBztPTs7hb04OCgiIiIgq3e3h4bNy40XolAQAAqBj3iwEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBIEOwAAAJUg2AEAAKgEwQ4AAEAlCHYAAAAqQbADAABQCYIdAACAShDsAAAAVIJgBwAAoBLa8i4ApXdnfLqli1Rb4mKNSgAAwJOAI3YAAAAqQbADAABQCYIdAACASpi7xs7T09P8wkajMScnJz3d4iu9AAAAUObMBbvk5OTHVgcAAAAekblgN3bsWHk6Kirq0qVLnTp1qlevnsFgOHfuXHR0dFBQUHBwsPWLBAAAQMnMBbsVK1ZIExs2bNiwYcPRo0dbtmwpv7pv376+fft++OGH1i0QAAAAyii6eWLWrFmtWrUyTXVCiB49ejRq1GjmzJnWKQwAAACWUfSA4mvXrqWmpj548KBSpUpy4507d65cuaLX661WGwAAACygKNjVrl370qVLzZs3HzJkSO3atQ0Gw5UrV3744Ye0tLQaNWpYu0QAAAAooSjYTZky5a233rp+/fr8+fMLvDRx4kQrVAUAAACLKbrG7h//+MeGDRuaNm1q2lirVq3ly5dPnjzZOoUBAADAMoqO2Akhhg8fPnz48Lt378bHxwshqlev7uPjY83CAAAAYBkLvlLs/v370dHRkZGRCQkJPj4+sbGxBoPBepUBAADAIkqD3ezZs319fQcOHPjee+/t379fCDFt2rSePXtmZWVZszwAAAAopSjYrVixYvr06dnZ2c7OznJjcnLyr7/+umjRIqvVBgAAAAsoCnZLlixxdHTctWtXWlqa3Lh69WoXF5e1a9darTYAAABYQFGwi4uL6927d58+fTQajdzYoEGDFi1a3Lhxw2q1AQAAwAKKgp2Xl9fVq1eNRqNp48OHD2NjY11cXKxTGAAAACyjKNgFBAScPHmyU6dOCxcuFELExsbOmzevbdu2SUlJbdu2tXKFAAAAUETRc+ymTZsWFhYWGRkZGRkphAgPDw8PDxdC2NnZ/fvf/7ZugQAAAFBG0RG7oKCgsLCwRo0amTY2bdp03759QUFB1ikMAAAAllH6zRNdu3aNjY29cuXKzZs3hRDPPPNM7dq1rVlYyfLz8zMyMkxv1H2S5efnCyHS0tJMb0B5ZBavqqIMV5EqdPFlSNqXsrOzc3Nzy7uWJ5d0TXBubq40XCiSNEp5eXkV5ZcrMzOTDQqYpyjYtW/fvlWrVl988UWdOnXq1Kkjt7/00ks2NjY7duywWnnm2NjYODg4ODo6lsu7Wyo/P99gMDg6OpZhsMsQ2ZYuUlGGq0gVuvgylJOTk5eXZ2dnZ29vX961PLny8vJyc3O1Wq2Dg0N51/LkMhgMubm5tra2FeWXS6fT2dhY8IVJwFNIUbCLjo4u/MfxwYMHf/75Z2pqqhWqUkSj0dja2mq1Sg86li8pz2m12jI9YmexijJcRarQxZchvV4vhKhAO3+5kI5F2djYMEpmSF8LqdFoKsoo2dralu+fUODJZ+5fn3nz5nl4eHh4eAghDh065PG/PD094+PjCzwDBQAAAOXF3H9pNWrU0Gg0KSkpQoi8vLwiD8717t3bWqUBAADAEuaC3fDhwwcPHnzw4MHu3bvXqlXrlVde+Z8ltdoGDRoMGzbMyhUCAABAkRKuq7Czs+vWrVubNm1at279+eefP56aAAAAUAqKbi/KzMzcs2fPmTNnrF0NAAAASk3RnVAPHjyIj4/PysqydjUAAAAoNUVH7FavXu3j4zNjxoy7d+9auyAAAACUjqIjdhs2bAgICDhw4ECNGjVq1apVqVIl01djYmKsUxsAAAAsoCjYbdq0SZ6+cuWK1YoBAABA6Sn9SjGdTldRHk0OAADwdFKU1aKioqxdBwAAAB6RBQfh0tLSIiIiLl++bGNj07Bhwy5duvDt2gAAAE8OpcFu7dq1EydOTEtLk1uqVq26bt26F1980TqFAQAAwDKKHncSERExevRo01QnhLh7927//v3/+OMP6xQGAAAAyygKdp9//rnRaGzTps2PP/544sSJ48ePr1+/PiAgICcnZ86cOdYuEQAAAEooOhX7+++/V65cef/+/S4uLlJL69at+/Tp4+fnFxkZac3yAAAAoJSiI3ZpaWnPPPOMnOoklSpVqlu37oMHD6xTGAAAACyjKNh5e3vHxsYWeDTx5cuXz58/X7VqVesUBgAAAMsoOhXbo0ePb7/9Nigo6PXXX69fv77BYLhw4cLGjRuzsrK4KxYAAOAJoSjYTZ8+fdu2bYmJiQsXLjRtr1KlyvTp061TGAAAACyj6FSsn5/foUOH2rVrZ9rYqVOnw4cP165d2zqFAQDwWAUFBWk0mnr16pmf7fr16++9916TJk1cXV0dHR3r1KkzatSokydPFp7z9OnTo0ePrlevnrOzs4ODQ7169SZMmHD16lWLqipxJQrLFkLcuHHDxsZGo9FoNJoff/yx8AxxcXHvv/9+kyZNKlWqZGdnV7Vq1Z49e+7YscOieaR6ivTRRx8p7FdgYGBxK5GYvtGMGTNMK/zxxx/leUpUoFpXV9cmTZqMHz/+7NmzZmYrIC4uTvkAltj3R6Qo2AkhmjZtevjw4Vu3bh08ePDgwYMJCQm//fabv79/mRQBAECFsHXr1kaNGn3xxRfnzp1LT0/Pzs6+evXqunXrAgMDZ86caTrnkiVLWrRo8e23316+fDkzMzMnJ+fy5cuLFy9u3Ljx3r17Fb5dmaxE9v333xuNRml606ZNBV49ceJEQEDAokWLzp07l52d7eDgcO/evbCwsP79+3/77bfK53n8/Vq4cOHt27ctXapI6enp586dW7p0aUBAwOzZsy1aVuHglG3fC1Ma7IQQKSkpZ8+evXz58pUrV86cOcP9sACAp8qpU6eGDRuWlZXl5ua2YMGCM2fO/P33399995108uqTTz5Zt26dNOfBgwcnTJhgMBi8vLyWLl0aGxt7+vTpxYsXV61aNTs7e+DAgQkJCSW+XZmsxJQU5ry9vYUQ+/btu3//vumrn3zySUZGhoeHx5EjR7KystLS0k6dOlWzZk0hxNSpU/Pz8xXOI/Hz80ssRDq0pqRfERER8lJdunQRQlSuXNl0VaaVZ2Zm/vvf/7ZoKAqQqr13797JkydXrFhRo0aN/Pz86dOnr127tvBshdWpU0fh4JT5Ni1M0TV22dnZkydP/vbbb7OysuRGOzu7CRMmzJs3T6u14AtnAQCooGbMmJGbmyuECA0N7dq1q9RYv379zp07+/v7Z2ZmTp8+fdiwYXZ2djNnzjQajRqNJiwsrEWLFtKczZo1Cw4ODggIqFOnzunTp6tXr27+7cpkJbK//vpLOr04e/bssWPH6vX6n376aezYsfIMly9fFkI899xzbdu2lVqaN2++fv362NjYunXr5uXl2draKplHarexsfH09Cx1v0xvzbSzsxNCaDSaIlfYrl276OjodevWhYSENG3aVOFoFCBX6+Xl1aJFi969ewcEBCQnJ0+bNm3EiBFyzjHTKaFsAMt2mxbdFyUzffDBB0uXLjVNdUIIvV6/cOHCzz777FHeHgCACiEzM/PXX38VQnTq1ElOdZKaNWu+9dZbQohbt24dO3YsPT09KipKCNGzZ0/5w1vi7+9/9+7ds2fPlvhMiTJZiSnpcJ2rq+vw4cM7dOgghPj+++9NZ5COOx49enTVqlXyJ36nTp3eeeedHj166HQ6hfM85n61a9euQ4cOBoNhypQpypcyr0aNGu+8844QIiEh4dixYwqXKnFwyrzvRVIU7KRt379//9DQ0BMnThw+fHjt2rWtWrUSQqxevfoRKwAA4MkXFxen1+uFEEFBQYVflRvPnj0bFxcnnXcr8OEtcXd3V/h2j74SmdFolO6WeOmllxwcHAYPHiyEiIqKunnzpjzP+++/r9Vqc3Nzx44dW6VKlRdeeOFf//pXeHh4Xl6eRfM8zn4JITIzMxcsWCCE2LdvX3h4uKWLF6djx47SxIULF+RGg8GQUoic4UocnDLve5EUBbvMzMwXXnhh27ZtL7/8cmBgYLt27d54441Dhw55eXkVOEMPAIAqpaWlSRNFPpnf19dXni0jI0OaNnParkRlshJZVFTUjRs3hBCvvvqqEGLQoEG2trZy2pN07949MjKyR48eWq02KysrMjJy3rx53bt3r1u3bkREhPJ5JJcvXy589+j27dvLtl9CCOm77F955RUhxJQpUwwGQ5ms1sPDQ5p4+PCh3Hj16tVKhUyaNEl6tcTBKfO+F0lRsGvWrJl09Z8pR0fHqlWrtmzZ0gpVAQDwZJEPqNy6davwq/JdmR4eHm5ubtL03bt3S/12ZbISmXweNjg4OC8vr1KlSp06dRKF7o1t27ZtWFhYcnJyWFjYxx9/3Lp1ayHEjRs3+vXrJ/dayTyPrV+yuXPn2tnZnT59ev369QofdGKefH9GpUqVlC9lfnCs1PcCFN33MGfOnIEDB/78888DBgyQxis/P3/x4sW3b9+W7wCCRHNwRskzFWLs9GmZVwIAKEMNGjRwcHDIzs6WLpMq4MiRI9JE8+bNGzRoYG9vn5ubW+TlWXv37m3WrJl8hM/M2z36SiR6vX7r1q1CiLS0tAJf+3769OnY2NjGjRubNrq5ufXo0aNHjx6ffPLJ8uXL33nnnYyMjN27d5veaVHiPH5+fr///nuBStzc3IxGY1n1y1TdunXffvvtr7/+evr06fPnz7d08cJ+++03aSIgIMD0XeRH1plR3OC88cYb1uh7AYqO2C1atMjV1XXQoEHVq1dv06ZNq1atPD09J02a5OXlNX78+EATj1gNAABPJnt7+759+wohjh8/vmvXLtOXrl69Kl1xXrdu3ZYtW+p0ul69egkhfvvtt+joaNM5z5w5M2DAgNq1a3/++efm365MViLZu3evmeumpMvoT548OWTIkKZNmx46dMj01Z49e0oTycnJSuaRG6UbSAuwt7cvw34VMGPGDHd391u3bn333XelWNzUtWvXVq5cKYSoX7++abAzQ8ngWK/vphQFu19++UW6vvLu3bu///57TExMSkqKEOLixYvHjh07aeIRqwEAoHwVeYF8ZmamEGLmzJlOTk5CiCFDhsydO/fs2bOXLl1av35969atpcunFixYYGNjI81pb28vhOjTp8+XX34ZGxt79uzZFStWBAcHZ2dn29vbv/zyyyVWYtFKzJQtnW91cHB48OCB0YR0Cf8PP/wghKhZs+a2bdvOnj37+uuvb9++/d69exkZGadPn544caK0/qCgICXzKBnhMhmcwqpUqSJ9s0UpbqGQRy8hIeHHH3/s2LGjdGnd/PnzTU/sFjnIKSkp2dnZCgfHSn03pehUbLt27XQ6nfQgGQAAVEy6QL5A48iRI9etW+fv779169ZXX301PT196tSpU6dOlWewtbVdtGiR/KncrFmz77//fvjw4SkpKfLF9RJHR8ft27fXrVu3xEosWklxZS9evFg6vti/f3/5hgDJG2+8cerUqStXrhw7diwoKGjBggUhISE3btwonC1ee+016SnBSuYp235ZJCQkZNmyZaa3+ipUePQ0Gs28efMKdLPIQRZCTJs2bdasWUoGx3p9lykKdocPH37EtwEAQAV69ux54cKFRYsWhYWFXb9+PT8/39fXt0uXLhMnTnz22WdN5xw4cGBgYOCiRYvCw8Nv3Lih1+tr1KjRu3fvDz/8UPl1VI++ktDQUOl5HG+88UaBl4YOHTp58uTc3Nzvv/8+KChowoQJLVq0WLp06dGjRxMSEgwGQ5UqVQICAkaMGDF06FBpESXzPJ5+FcnBwWHWrFkjR44s9Rq0Wm316tU7duwYEhJi6QVmCgfHSn2XaeSvjSvR/fv3Dx48eP369fr16/fp0yc2Ntbf31865lwuxo4dO3369MK365avx3nzxJ3x6ZYuUm2JS8kzWR+3mDyKrKysjIwMV1dXJc8CfWrp9frU1FQnJyfpxBmKZDAY7t+/r9PpXF1dy7sWRc6cObNx48YyuTQeUCul3wY2e/bsWbNmZWdnCyEmTpzYp0+fadOmZWZmbt++3dHR0ZoVAgCgNjdu3JC+26A4kydPlp5IglJ7OgdZUbBbsWLF9OnThRDOzs7y4/WSk5OjoqIWLVo0bdo0KxYIAIDq1KpVa/fu3eVdhco9nYOs6ETqkiVLHB0dd+3aJT93WwixevVqFxeXtWvXWq02AAAAWEBRsIuLi+vdu3efPn1Mb/pt0KBBixYtpK8oAQAAQLlTFOy8vLyuXr1a4DaLhw8fxsbGFniGNQAAAMqLomAXEBBw8uTJTp06LVy4UAgRGxs7b968tm3bJiUltW3b1soVAgAAQBFFN09MmzYtLCwsMjIyMjJSCBEeHi491tnOzu7f//63dQsEAACAMoqO2AUFBYWFhTVq1Mi0sWnTpvv27VP4/SEAAACwNqXPsevatWtsbOyVK1ekb+p45plnateubc3CAAAAYBlFwa5Zs2aZmZnbtm1r2rRpnTp1rF0TAAAASkFRsHvw4EF8fLz0ZXMAAAB4MikKdqtXr37zzTdnzJjx3XffVa1a1do1AQDwOOV8OKFsV6ib/3XZrhBQSFGw27BhQ0BAwIEDB2rUqFGrVq1KlSqZvhoTE2Od2gAAAGABRcFu06ZN8vSVK1esVgwAAABKT1Gwa9++vU6n02qV3kILAACAx09RVouKirJ2HQAAAHhEih5QDAAAgCcfwQ4AAEAlCHYAAAAqQbADAKAcnDp1asiQIT4+Pvb29jVq1HjppZcKXNEeFxf3j3/8o3bt2vb29pUqVQoODg4NDZVeysvL02g0Go3G3d09JydHXqRr165S++HDhy2apwBPT0/Td5F5eHgEBgauWbNGYUfkNdy5c8e0X1Jj9+7dTddT5MywFDe6AgDwuO3evXvAgAF6vb5atWodO3a8ffv27t279+7du2XLlgEDBgghDh8+3LNnz/T0dC8vrw4dOiQkJERERERERLz33nsLFy6UVqLRaB4+fLh///7evXsLIe7fvx8ZGanRaIxGo/xGSuYRQvTr18/BwUH+0c3NrchXExISDh8+PGbMGKPROGbMGCUdKWz9+vVCCBcXl4iIiNu3b/v4+JTBgOK/LDhi9/DhQ2kiJSVl/fr169evT0lJsU5VAAColl6vHzdunF6vf+utt27evLl///7Y2NgtW7YYDIY5c+YYjUaDwTBq1Kj09PThw4ffvHkzIiIiNjY2NDTUxsZm0aJFhw4dktZTr149nU4nH8bbtWtXXl7es88+a/peSuYRQqxYseJHE6tWrSry1UOHDn322WdCiK1btyrpSOG+G43GjRs36nS6Dz/80GAwmD4oF2VCUbDLzc199dVXR4wYIYS4e/du69atR44cOXLkyKZNmyYkJFi5QgAAVOXEiRO3bt1yd3dftGiR/IzYV1555erVqzExMRqNJiYmJi4uztnZecmSJTqdTprh5ZdfHjJkiBBi48aNUouNjU379u137NiRn58vhNi2bZurq2vTpk1N30vJPBbJy8sTQjg6OirpSOHFIyMjr1692qNHj1GjRmk0GunoHcqQomA3Z86cn376KT4+Xgjx+eefX7p0SQjh7OwcHx8/e/Zs6xYIAIC6SN/h1LBhQ2dnZ9P22rVrSxPS56y/v7+7u7vpDG3bthVCXLx4UfoxLy+vV69eycnJhw4dyszM/PXXX3v27Glj8z+f7ErmEUJUr17d9Fq6WbNmmb46bty4IUOGDBkypFOnTp988olOp3vvvfeUdKQwKckNHjzY19e3Xbt2Z8+e/fPPP0sYL1hC0TV2P/74o6ur69q1a8V/j76uWrXqtddeq1u37sGDB61aHwAAKiMdyjIYDJbOILWYxrKBAwe+//77oaGhKSkpWVlZAwcO3LlzZ4GllMxT4Bq7Audqd+zYIU83btz4hx9+aNasmZKOFJCVlbV161ZHR8e+ffsKIQYPHnz48OH169cHBAQoXANKpCjY3bhxo127ds2aNbt169a1a9dsbW0HDx7s4uLSvHnz6Ohoa5cIAICaNGzYUAhx8eLF9PR0FxcXuX3Xrl2tWrWqVq1ao0aNpBnu379fuXJleYbjx48LIZo0aSK31K5dOzAwcM+ePZmZmY6Ojr179y4c2pTMs2LFimrVqhVXcEJCQrVq1S5evNi0adPLly/LEbDEjhRYz7Zt26Tr9V1dXeXG77//fsGCBba2tsWOFyyh6FSsTqeT7pSOjIwUQjRq1Ei6X8ZgMBR5Bh0AABSnRYsW9erVS0tLCwkJ0ev1UuPmzZv79+/frFmzrKysgICAxo0bZ2ZmvvPOO9nZ2dIMu3fv3rx5sxBi5MiRpmsbNGjQ1atXf/755xdffLHAKVGL5ilRw4YNJ0yYkJOT8/bbbyvsSIE1SOdhu3TpMvK/fH197969++uvv5auJBSm6IhdnTp1fv/99y+//PLbb78VQnTp0kUIce3atePHj9eoUcO6BQIAoC42NjZr1qzp2bPnmjVrdu/e3aRJk6SkpNOnT9va2i5fvly6L2Ht2rXBwcGbN28+cOBA06ZN7969GxsbeVQxcwAAIABJREFUazQaZ8yY0apVK+kOBsmgQYM++uijhw8fDho0qLh3LHGecePGmZ6KFULMmjXrmWeeKTDbxx9/vGnTpgMHDmzYsGHEiBEldsS0zoSEhP3799vb2//000/yYcgFCxZ88MEH69ev79mzZ3HFDBgw4NVXXy1pUPF/FB2xe/PNN3NyciZNmnTmzBmNRiM9uiY4OPjhw4f9+/e3coUAAKhNx44dY2Jihg8frtVqIyMjr1271qtXr8jIyIEDB0oztG7d+uTJkyNHjtTpdFFRUbdv3+7WrduuXbtmzpxZYFV169Zt3ry5Tqd76aWXinu7EufZsWPH5v+VlJRUeDZXV9d58+YJId5///379+8r6Yhs48aN+fn5ffv2NT25PGLECK1Wu2PHDvmRaoWL+euvv8yMJAoo+IjCIhkMhn//+9/ffPONTqebPXv266+/LoTo2rVrenp6RESE6Wn1x2ns2LHTp0+vWbNmubx7cTQHZ5RiKWOnT0ux1J3x6ZYuUm1J+WysAh7nKKlPVlZWRkaGq6ur/BAEFKbX61NTU52cnJycnMq7lieXwWC4f/++TqczveDpSXbmzJmNGzfOnz+/zNec8+GEsl2hbv7XZbtCQCFFp2JtbGxmz55d4MkmK1eurFu3LtfYAQAAPCEUnYpt3779pEmTCjTWq1evb9++/fr1s0JVAAAAsJiiI3bR0dEFrqkUQjx48ODPP/9MTU21QlUAzPE6WwZneTi1DQDqY+6I3bx58zw8PDw8PIQQhw4d8vhfnp6e8fHxSi7RAwAAwGNg7ohdjRo1NBpNSkqKECIvL6/Ig3O9e/e2VmkAAACwhLlgN3z48MGDBx88eLB79+61atV65ZVX/mdJrbZBgwbDhg2zcoUAAABQpIRr7Ozs7Lp169amTZvWrVt//vnnj6cmAAAAlIKimyeOHTsmTeTk5BT+hhDpIjwAAACUL0XBTq/Xf/LJJ2vXrk1ISCj8KvdPAAAqNJ4nDNVQFOymTJny1VdfWbsUAAAAPApFwe67774TQlSvXn3QoEG+vr62trZWrgoAgMdn4/dl/C1Kw4dyLgvlQ1Gwy8vLE0IcPny4Tp06Vq4HAAAApaToK8VeeOEFOzs7Hx8fa1cDAACAUlMU7JYvX16/fv0JEyakp6dbuyAAAACUjqJg99FHH9WqVevbb7+tWrVqkyZNAv+X+WW3bNlSrVo1jUbz5Zdfyo1JSUmDBw/28fGpUqVK7969r169ar4dAAAAJVJ0jd33338vTWRmZp47d0752vv27btr164qVaoUaB8xYkRYWFhQUJCzs/OePXv69u17+vRpGxub4tqVvyMAAMBTS1Gwa9++vYODQyluhr148WJERERoaOjSpUvlxmvXroWFhfn5+UVHR9vY2HTs2DEqKioyMvKZZ54psr1Tp06Wvi8AAMBTSFGwi4qKKt3a//rrL51OFxoaatp48uRJIURgYKB0KC4oKCgqKurEiRPJyclFtsvBLi0tLT4+Xl5Pfn5+fn6+dMduRffYelGhh6tCF1+GDAZDmaxH3eOZn58vhDAYDOru5iOS9iWj0VhRRik/P59H4gPmKQp2kvv37x88ePD69ev169fv06dPbGysv7+/+fOkOp2ucKMU4OQvIpMmkpKS3N3di2yXF4yJiZkyZYr8Y926dR8+fJiSkqK8C0+s0vbC4XG90ROhQhf/BHoaxjM7Ozs7O7u8q3jS5ebm5ubmlncViqSlpUmRvaLLy8uzs7OTpjUajbu7e9OmTYcNGzZmzBjp5Fj9+vXj4uLCw8ODg4OFEJs2bRo+fLgQ4tChQx07dhRCLF68eMKECS+99FJoaKi8KlNVqlRJSkqS3yghIaFatWpF1mD+JU9PT2l6wIABP//8szTD/v37u3XrNnr06NWrV0stFy5c+M9//hMREXHnzh1XV9f69eu/+eabY8aM0WjK+AGBKJHSYDd79uxZs2ZJfyInTpzYp0+fadOmZWZmbt++3dHR8VEqkP79KrztC7f7+voOGDBA/vHChQs6nc7BweJw8wQqXS9KcYtyhR6uCl18GSqrgyvqHk+DwZCbm6vVarVaC/59fdoYjcacnBxbW9sik8ETSKfTqSwo9OvXz87O7saNG9HR0VFRUaGhobt27bK3t+/SpUtcXFx0dLQU7A4fPizNHxkZKQU76Tvcu3btaroq019qNze3si01NDT04MGDRV4cdeDAgT59+mRlZXl6erZv3z4jI+P3338/duxYdHT0unXryrYMlEjRn7wVK1ZMnz5dCOHs7JyRkSE1JicnR0VFLVq0aNq0aRa9pZeXlzA5WpCamio1FtcuL9igQYOpU6fKP44dO9bJycnFxcWid38yla4X6ZZHuwo9XBW6+DKUlZVVJutR93jq9frc3Fx7e3snJ6fyruXJZTAYcnJytFptRdkZHB0dVfbVRytWrJCOlp06dapbt26//vrr0qVLJ02a1LVr11WrVh05ckSaTfqCgPj4ePnKqMLBTl6VNVSvXv3evXshISGnTp0qcKYuPz9/9OjRWVlZI0eOXLlypXSm7ty5cy+//PL9+/eTk5ML30AJq1J0w+mSJUscHR137dqVlpYmN65evdrFxWXt2rWWvmVgYKBGo4mJiZEOPERHRwshgoKCimu3dP0AAFQsLVq0+PTTT4UQGzduFEJ07txZo9EcO3bMYDCkpKScO3euXbt2jRs3PnLkSH5+fmJi4pUrV6QHkD2e8jw8PMaOHXv69OlvvvmmwEsnTpy4du2aq6vr4sWL5euvnn322b///nvnzp2kusdP0RG7uLi4l156qU+fPqaNDRo0aNGixdGjR4tbKjMzc86cOUKI48ePCyH27NmTlJTk5+c3evTofv36bd++/YUXXnB2dj5y5EjLli2ff/55jUZTZPujdRAAgApAOsd66dIlIYSXl1eTJk3OnDlz7ty5GzduGI1G6UFgf/755x9//JGQkCCE6NKli+ni1av/v/buPCCqsv///zXDMiAgKKCCKaKiqLghmSYqt0skKn7USj9mLqmJaW7lx7pdMhW1TLO0O+6oUHHJNFOzQhEXBFeoXKIMEE2FTFlEZGfm98f5Nr+JZTwsA3h8Pv6auc72vs4M8OI6m4vh2xUrVkiH2mpEUVHR8uXLd+zYsWTJkrFjxxpOSk5OFkJ4enra2dlJLUuWLMnMzJReBwQEBAQE1FQZkENWsHN2dk5JSdHpdIYnN2RnZyckJBgZwM/NzQ0ODta/jYyMjIyM7N+//5QpU8LCwmxsbKKiooqLi0eOHLlx40ZpzRW1AwCgbNnZ2UII/bHmgQMHXrp0KTY29saNG0IIX19fBweHkJCQmJiYO3fuiDLBrtQ5dp06darB2nQ6naOj49KlS+fPn798+fKyWc3wopawsLBbt25Jr52cnAh2tUxWsOvWrdvBgwf9/PwCAwOFEAkJCWvWrAkPD797966RD8zJyami69IdHByk0WaZ7QAAKJt0hUTHjh2ltwMGDNiwYcPp06dv3bplb2/v5eXVqFEjIURcXJwU9QxPsBMmPsdOMmvWrJCQkI0bN3p6euob27dvL4S4cuVKVlaWdDsL6cZkGzZsmDdvnknrQblknWO3aNEic3Pz6OjoN954QwgRGRn51ltvJSQkWFhYLFmyxMQVAgCgcD/99NO7774rhJg4caLU0r9/fzMzs9OnT8fFxT399NNqtbpFixZubm5xcXFxcXHu7u7u7u61XKSFhcX7779fVFQklSrx9vZu27btgwcPZs6cqb+7UF5ennTPWtQ+WSN2vXr1ioiIeO2113799Vd9Y+fOnT/88EMubgAAoGqCgoKsrKxu3Lhx7ty54uLigICAKVOmSJMaNmzo4+MjnaTu6+srNfbt21c6rlVquE6/KsOWlStXtmrVqtypo0aN0t8+zMiksoYPHz548ODIyEh9i1qtDg0NDQgI2LFjx5EjR7p166bVas+dO5edne3s7Mxx2Non9w5PAwcOTEhIuHr1qjQC3KpVKzc3N1MWBgCAwu3fv18IYWVl1blz50mTJs2cOdPwfi4DBw6sKNiVOsFOvypDc+fO1Qe7UlPbtm2rT29GJpVr/fr13bp1Mzypzs/P79y5c6tXrz5x4sSxY8dsbW07dOgwbNiwWbNm6R86gFpTuVt3tm7dunXr1iYqBQCAx4G5ubmcZ6MFBwcbXoMohHjllVdeeeWVSq3KyFSZk0rN5uXlVfY26V5eXtu3bzdSBmqNsWDn5ORkfGHpruU5OVV4AgIAAABqmLFgJz3UFQAAAI8EY8Fu+vTp+tcnT55MTEz08/Nr27atVqv95ZdfYmNje/XqJT3GDgAAAHXOWLALCQmRXoSHh4eHh58+fbpHjx76qYcOHQoMDFy4cKFpCwQAAIA8su5jt3LlyieffNIw1Qkh/P39O3To8M4775imMAAAAFSOrKtir127du/evczMTOm215I///zz6tWrRUVFJqsNAAAAlSAr2Lm5uSUmJnbv3n3s2LFubm5arfbq1as7d+68f//+E088YeoSAQAAIIesYLdgwYJXXnnl+vXrhk8RkcyZM8cEVQEAUHvGj3v4XeWAR4Ksc+ymTZsWHh7euXNnw8aWLVt+8skn0tNjAQAAUOfkPnli/Pjx48ePv3379s2bN4UQLi4urq6upiwMAAAAlVO5R4o1bdq0adOmJioFAIA6oTq+tGZXqPNbXrMrBGQyFux8fHxcXV0PHDjg4+NjZLa4uLiargoAAACVZizYxcfH3717V3pRW/UAAACgiowFO39/f+nAq7+/f23VAwAAgCoyFuwiIiJKvQAAAEC9Jet2J0KIkpKSb7/99sqVK9LbyMjIL7/8UqvVmqwwAAAAVI6sYJebmzt06NDAwMDExESpJT4+/n//93+HDh3KI8UAAADqCVnBbt26dYcOHRJCqFQqqcXKykoIERER8eGHH5quOAAAAMgnK9jt2rXL3Nz8u+++Gzp0qNQyd+7cQ4cOmZmZffrpp6YsDwAApSkuLlapVCqV6s8//9Q3Llu2TKVSTZ06Vd+SlJQ0bdo0Nzc3S0vLRo0aDRo0aO/evdKka9euSWswXG1ISIhKpRo2bJj0Njs7e+HChe3bt7exsdFoNB06dAgODi4pKSlVgP716NGj9as6cuRIqWJ+++23l19+2c3NTaPRODk59e7dOzQ0VKfjUWz1jqxgl5yc3K1bt4CAAMPGZ555pmvXrteuXTNJXQAAPMZiYmK6d+/+2Wef5eXl9e3b18XFJSoqavTo0a+//rrMNQwfPvy9996ztraePn365MmT//rrr8WLFy9evLii+ffu3Xv8+PFyJx09etTb2zssLCw3N9fX17dt27bnzp175ZVXJk+eXIWuwaRkBTsbG5vk5OTMzEzDxr/++ispKcnOzs40hQEA8JjSarWTJ0/OyckZP378jRs3oqKiEhIS9u7dq1ar169ff+LEiYeuIT09PTo6Wq1Wnzp1av369SEhIT/88MPo0aMbNmxY7vwuLi5mZmZz584te1lkSUnJlClT8vLyJk6cePPmzaioqDNnzly8eNHDwyMjIyM9Pb0GOoyaIyvY9evXLzMzs0ePHosWLQoNDf3vf/+7cOFCb2/v7Ozsfv36mbpEAAAeK3FxcUlJSTY2Nps2bdJoNFLjyJEjx44dK4TYtm3bQ9fg4ODQsGFDrVa7du3aO3fuCCF69uy5Z8+et956q6L5p0+ffuHChdDQ0FKTzp8/f+3aNTs7u40bN+qL6dSp0++//37gwAFHR8cqdxOmIOtZscuWLYuIiEhJSVm1apVhu5WV1dKlNfx8PQAAHhMuLi7ltkv3oPD09LS3tzds7927944dO/S3HjPCzMwsNDR06tSpy5Yte+edd9q2bdurV6/nn39++PDh5c5fVFS0fPnyHTt2LFmyRIqPesnJyVIx+mN0S5Ys0R/ECwgIKHWmFuqWrBG7Ll26HDt2rGfPnoaNXbt2jYyM7N69u2kKAwBA4Xr27Nnnby1atNC3S1dFlD0qKrWo1bL+dr/wwgs3btzYvn37jBkzbGxswsPDAwMDJ02aVO7MOp3O0dFx6dKld+7cWb58eanLMoQQ0lUXkrCwsI//du7cOTnFoNbIvUHxU089dfbs2Zs3bx4/fvzYsWPXrl37+eeffX19TVocAAAKtn///pi/vfzyy/r2Dh06CCGuXLmSkZFhOP/Zs2eFEF5eXtJNx4QQhqe4SdfY2tjY6FsaNmw4bty4jz/++Keffjp//ry5ufmWLVv++OOPiuqZNWtWu3btNm7cePXqVX1j+/btpWKysrKklps3b+p0ug8++KDqPYfJyA12Eicnp65du3br1s3e3j7rbyaqDACAx1O3bt06duyYm5v76quv5ufnS40HDx7ctWuXEGLixIlNmjRxcnISQnz++efS1IyMDOncOx8fHyHE7t27W7Ro4e/vrx9p8/T0tLW1Ff8ceyvFwsLi/fffLyoqevfdd/WN3t7ebdu2ffDgwcyZM/XF5OXlxcfH13S/UQNknWNXVFS0bNmysLCwtLS0slO5jQ0AADVIpVKFhYUNGjRo165dR48e7dy58+3btxMSEnQ63dKlS5988kkhxLp16yZOnLhw4cLdu3c7OTmdPXs2MzPTw8Nj+vTpQoj+/fvrdLrIyEhPT89evXrpdLro6OisrKzu3bu7u7sXFxdXtOnhw4cPHjw4MjJS36JWq0NDQwMCAnbs2HHkyJFu3bpptdpz585lZ2c7Oztzgl19I2vEbsGCBatWrSo31QEAgBrXs2fP+Pj4iRMnajSakydPpqamDh48+Ntvv33nnXekGSZMmLB///5+/fpdu3bt5MmTLi4uixcvPnfunHRDkyZNmsTGxgYFBWm12q+//nrPnj1WVlZz5841TGwVWb9+vZmZmWGLn5/fuXPnxo0bZ2FhcezYsfj4+A4dOqxYseL3338vdf496pysEbstW7YIIVxcXJ577rnmzZuX+rwBAIB85ubmZQ92LVu2bNmyZYYtHh4emzdvNrKewMDAwMDAiqa6ubl98skncgooVYyXl1fZIT0vL6/t27cbKQb1hKxgJ33AMTExrVu3NnE9AAAAqCJZh2L79+9vYWHh6upq6moAAABQZbKC3SeffOLh4TF79uycnBxTFwQAAICqkXUo9s0332zZsuUXX3yxfft2d3d3/e1zJHFxcaapDQAAAJUgK9jt2LFDepGbm/vLL7+Ysh4AAABUkaxg5+vra2VlxcWwKNe2HaWfPPNwrktMUAgAAI87WcHu5MmTpq4DAAAA1SQr2AEAoGA6v+V1XQJQM4wFOx8fH1dX1wMHDkgPnqsIF08AAADUB8aCXXx8/N27d6UXtVUPAAAAqshYsPP392/atKn0orbqAQCgtqn259XsCnUjrGt2hYBMxoJdREREqRcAAACot2Q9eQIAAAD1H8EOAABAIQh2AAAACkGwAwAAUAhjwe769etZWVlCiKSkpNTU1NoqCQAAAFVhLNh17tx527ZtQggPD48JEybUVkkAAACoCmPB7sGDB4cOHZIeFHvv3r2YCtRWqQAAKEFxcbHKgJmZWbNmzV5++eU7d+7o50lKSpKmPvPMM0aWValUDg4OPj4+n3/+eakZ/vzzT6klKyvrySefVKlUQUFBOp3OcAb969GjR+s3ceTIEZVKNXXqVH3Lb7/99vLLL7u5uWk0Gicnp969e4eGhup0uor6pd90KUlJSdOmTXNzc7O0tGzUqNGgQYP27t0rTfLy8lKVx/izr1CWsfvYNWvW7ODBgwcPHhRCxMXF9e3bt9zZyn60AADgoUaMGGFlZZWfnx8TExMWFnb16tVjx46pVCohxNatW4UQtra2UVFRqamprq6u5S4rhEhLS4uJiZk6dapOpzNMY5LMzMzBgwfHx8fPmjXro48+klZe1t69e48fP+7n51d20tGjR4cNG5aXl+fk5OTr6/vgwYNz586dOXMmNjZ28+bN8jsbExMzZMiQnJwcZ2fnvn37pqWlRUVFRUVFzZ8/f926dUOGDPHy8hJC/Pjjj4mJiR06dOjSpYsQok2bNvI3AWF8xG7hwoW1VgcAAI+bkJCQL7/8ct++fZcuXbKysjpx4kRiYqIQQqfTbdu2TaPRLFy4UKvVbt++vaJlv/zyyxMnTqxYsUIIsWfPnlLz6FPd3LlzN27cWFGqc3FxMTMzmzt3rlarLTWppKRkypQpeXl5EydOvHnzZlRU1JkzZy5evOjh4ZGRkZGeni6zp1qtdvLkyTk5OePHj79x40ZUVFRCQsLevXvVavX69etPnDixdu1aqTvSCGVgYKD0Njg4WOYmIDEW7GbPnv37778fOXJECNG9e/fICtRWqQAAKJOLi4ujo6MQQopK0dHRKSkp/v7+kydPVqlU0uidEcXFxUIIa+t/PMcsMzNz0KBB8fHxb7zxxgcffGBkcQcHh+nTp1+4cCE0NLTUpPPnz1+7ds3Ozm7jxo0ajUZq7NSp0++//37gwAGpZjni4uKSkpJsbGw2bdqkX8/IkSPHjh0rhJBO6EeNMHYoVgjh4eHh4eExYsSIrl27Dho0qHZqAgDg8ZGfn79t27Zbt241aNCgY8eO4u/jsGPGjGnevHmfPn1iYmJ+/vnnbt26GS4VFBQkHYr9888/o6OjNRrN/PnzDWcIDAyUstTcuXONF1BUVLR8+fIdO3YsWbJESlp6ycnJQghPT087OzupZcmSJZmZmdLrgICAgIAAOX2URiI9PT3t7e0N23v37r1jx44rV67IWQnkeEiwk+zbt08Icf/+/aioqOTkZLVa3b59+wEDBkhfKQAAUAUuLi7612q1eu3atfb29nl5eXv27LG2tg4MDBRCjBkzJiYmZuvWraWC3f79+/WvO3bsuHPnTumkNL2MjIyhQ4d+9913o0aNkpJfRWXodDpHR8elS5fOnz9/+fLlZbNaSUmJ/nVYWNitW7ek105OTjKDnXQUuOyhXqlFreauujVGVrATQoSFhc2ZM+f+/fv6lqZNm27evPnZZ581TWEAACjc6NGjrays1Gp1kyZNxowZ8+STTwohvvnmm+zsbCGEfpBMCLFjx461a9eamZnpW9LS0po1a3blypXOnTsnJyeXHWo5fvy4p6enn5/fqVOngoKCwsLCjBcza9askJCQjRs3enp66hvbt28vhLhy5UpWVpaDg4MQ4ubNm0KIDRs2zJs3T35PO3ToIK0nIyOjcePG+vazZ88KIaTLJlAjZAW7qKioKVOmlLr69fbt2//zP/9z+vTp7t27m6Y2oAb8OSunsos022RrikoAoJRNmzY1a9asVKN0HHbAgAEtWrSQWo4cOXLr1q3Dhw8PGTKk1Mzt27efPXv2unXrZsyYERUVZTjJ2dnZwsJi9+7dPXr02Lx5c/fu3WfPnm2kGAsLi/fffz8wMPDdd9/VN3p7e7dt2zYpKWnmzJmff/65FB/z8vLi4+Mr1dNu3bp17NgxISHh1Vdf3bx5s7SegwcP7tq1SwgxceLESq0NRsga/Hz//fd1Ot1TTz315Zdfnj9//uzZs9KYcEFBwapVq0xdIgAAj4m0tLQjR45YWlru3r1789/mzJkj/g58Zb399tvNmjU7evRoeHh42amurq67d++2sLB4/fXXjx07Znzrw4cPHzx4sHRenUStVoeGhlpbW+/YscPNzc3f33/w4MHNmjXbtm2bs7NzRcdhg4KCxhr46quvVCpVWFiYnZ3drl27WrZsOXDgQC8vr8DAwJKSkqVLl0pDlagRsoLduXPnGjdufOTIkTFjxvj4+PTs2fOll146evSovb19dHS0qUsEAOAxsW3btpKSksDAQMPjlS+99JK5ufn+/fulQ7Sl2NnZrVmzRgjx+uuvZ2RklJ3B19d33bp1xcXFL7zwwrVr14wXsH79esMDvkIIPz+/c+fOjRs3zsLC4tixY/Hx8R06dFixYsXvv//es2fPcleyf//+XQYuXrwohOjZs2d8fPzEiRM1Gs3JkydTU1MHDx787bffvvPOOw/ZKagMWYdi79+/37lzZ1vbfxyfatSoUZs2bS5dumSawgAAUCZzc/OK7u2/YMGCBQsWlGps1qxZUVGR/m3ZZSdOnGh4NLPsDK+99tprr71W7gylZvby8pJunlKqsdx76ZVipF8SDw+Ph97TeNOmTZs2bXrotlARWSN2TZo0SUhIuHr1qmFjcnLyr7/+2rRpU9MUBgAAgMqRNWLn7+//xRdf9OrVa8KECR4eHlqt9rffftu2bVteXh5XxQIAANQTsoLd4sWLv/nmmzt37qxbt86w3dHRcfHixaYpDAAAAJUj61Csu7v7iRMn+vTpY9jo5+cXExPj5uZmmsIAAABQOXJvUNy5c+eYmJjU1FTpqSDt27cve+sdAAAA1CG5wU7i6urq6upqolIAAABQHTydDQAAQCEqN2IHAIDy6EZY13UJQM1gxA4AAEAhGLEDADzu/pyVU7MrbLbJ9uEzASYgK9h16dIlNzf3m2++6dy5s6kLAoD6qWp/+/kDD6A2yQp2mZmZN2/ezMvLM3U1AAAAqDJZ59h99tlnrq6uS5cuvX37tqkLAgAAQNXIGrELDw/v1q3b0aNHn3jiiZYtWzZq1MhwalxcnGlqAwAAQCXICnbbt2/Xv7569arJigEAAEDVyQp2vr6+Go3G3JxLaAEAAOovWVnt5MmTpq6jCkpKSrKzs7Oysuq6kBpQ1V5UOmo/0ruLvSTRarU1sp563s1q0ul0Qoj8/PzCwsKaW2tV/rmt//u5qKio/hcpycnJKS4urusqgHqtEr+nMjIyjh8/fv36dQ8Pj2HDhiUkJHh6eqrVdXaLY7VabWNjY2dnV1cF1KCq9SJfVPo65Ud6d7GXJPn5+TWynnrezWoqLi6+f/++RqOxsrKqqXVW4bsk6vd+1mq19+7dMzc3t7GxqetaZGnQoIGZmVldVwEeJAeZAAAgAElEQVTUa3KDXXBw8MqVK6W/KHPmzBk2bNiiRYtyc3P37dtnbV03T2JRqVRmZmbK+CGvtV480ruLvSSpqf+m6nk3q0ka15R+S9RtJXVegBEqlUrUj70kk1qtlmpWgOzs7ODg4H379t28ebO4uLh169bjx49/8803zczMvLy8fvnll7KL9OjR48yZMxYWFoaN9vb2bdu2nTFjxpQpU4QQxcXFpWaQODo63r171/hUI9vlKslHiKxgFxISsnjxYiGEjY3NgwcPpMb09PSTJ0+uX79+0aJFJiwQAADFGT58eHR0dNeuXadPn56bm7t79+7Fixfn5OSsXr16yJAhXl5eQogff/wxMTGxQ4cOXbp0EUK0adNGv/iIESOk0ei0tLSYmJipU6fqdLqpU6eWnUHSsGFDw62XO1XOdlH/yQp2mzZtsra2/uqrr4YOHaofLfjss8969OgRFhZGsAMAQL709PTo6Gi1Wn3q1KkGDRoIIV5++eX33ntPClhr166VZps1a1ZiYmJgYOCaNWukFv0phiEhIc2aNZNer1q1atGiRXv27DEMdoYzlFXuVCPbxSNE1jGdpKSkoUOHDhs2zHAMvF27dt7e3n/88YfJagMAQIEcHBwaNmyo1WrXrl17584dIUTPnj337Nnz1ltvVWFtUtqrq9OiUN/ICnbOzs4pKSnSVWZ62dnZCQkJtrY8BhEAgEowMzMLDQ21s7NbtmxZ06ZN27VrN2HChG+//Vb+GoKCgsaOHTt27Fg/P79ly5ZpNJr58+cbzuDi4qIysHLlSvlT8UiTdSi2W7duBw8e9PPzCwwMFEIkJCSsWbMmPDz87t27AQEBJq4QAACleeGFF/z9/b/77rvY2NhTp06Fh4eHh4dPnDhx8+bNchbfv3+//nXHjh137twpnQ+nV+osuk6dOsmfikearGC3aNGiiIiI6Ojo6OhoIURkZGRkZKQQwsLCYsmSJaYtEAAAJWrYsOG4cePGjRsnhIiLi+vdu/eWLVuWL1/esmXLhy6blpbWrFmzK1eudO7cOTk5uextfapwjh2UQdah2F69ekVERHTo0MGwsXPnzocOHerVq5dpCgMAQJl2797dokULf3//kpISqcXT01M6tUnfIkf79u1nz55dUFAwY8YMkxSKR5Dc+9gNHDgwISHh6tWrN27cEEK0atXKzc3NlIUBAKBM/fv31+l0kZGRnp6evXr10ul00dHRWVlZ3bt3d3d3r9Sq3n777e3btx89ejQ8PPyll17StwcFBZUaxlu5cmWrVq2MTG3btm0V+4P6pBJPnkhPT79y5cqtW7fMzc0LCwsbN25cn++oDgBA/dSkSZPY2Ng1a9YcPnz466+/1mq1LVu2nDt3rnTL2Eqxs7Nbs2bNpEmTXn/99aFDh+rvV2d4Ep5k7ty5+mBX7lSCnTLICna5ubnz5s3bunWr4bOM7OzsgoKCVq1aZW5elecnAgDw2HJzc/vkk0+Mz7Np06ZNmzYZtpibm5e6Q4UQYuLEiRMnTtS/LTuDIeNTK9ouHiGyMtn8+fM//fTTUo33799fu3athYVFcHCwCQoDAABA5ci6eOKrr74SQvTv33/Xrl1nz549derUtm3bpMsmwsLCTFsgAAAA5JE1YldYWNikSZPDhw9bWlpKLb179x49erSbm1tmZqYpywMAAIBcsoJd7969U1NT9alOYmVl1aRJk3bt2pmmMAAAAFSOrEOxGzZsyMjIWLduXVFRkdSi1WpDQkJSU1M//PBDU5YHAAAAuYyN2Pn4+Egv1Gp1o0aN3njjjeDgYOly6KtXr6anp3t4eCxevPj777+vjUoBAABglLFgFx8fX6olMzPz/Pnz+reJiYmJiYkmqQsAAACVZCzY+fv7G1+4uLjY8M52AAA8ipptsq3rEoCaYSzYRURE1FodAAAAqKZKPDSisLAwLS0tLy+vVLunp2eNlgQAAICqkBXs0tPTp0+fvn///uLi4rJT5TyfBAAAAKYmK9iNHz+ew7IAAAD1nKxgd+zYMSFEjx49XnzxxaZNm6rVsu5+BwAAgNokK9g5OTn99ddfJ06csLGxMXVBAAAAqBpZY28LFiwoKipKSEgwdTUAAACoMlkjdnPmzLGzsxswYMCQIUM8PT1LPTR28eLFpqkNAAAAlSAr2EVERMyZMycnJ2f37t1lpxLsAAAA6gNZh2LnzZuXk5Nj6lIAAABQHbKC3bVr14QQS5Ys+eOPPwoKCor+ybQFAgAAQB5Zh2K9vb3Pnz//9ttvm5mZmbogAAAAVI2sEbvQ0NAnnngiODi4oKDA1AUBAACgamSN2AUHB7dr12758uVr165t1aqVRqMxnBoXF2ea2gAAAFAJsoLdjh07pBc5OTmXL182ZT0AAACoIlnBztfX18rKihPsAAAA6jNZwe7kyZOmrgMAAADVJCvY4TFRsHB2VRbrWtN1AACAKpEV7JycnCqalJ+fz72LAQAA6gNZwS49Pd3UdQAAAKCaZAW76dOnG74tLCy8cuXKqVOnAgMDfX19TVMYAAAAKkdWsAsJCSnbePz48cDAwFmzZtV0SQAAAKgKWU+eKJefn5+Pj89bb71Vg9UAAACgyqp+VWxaWtrly5fv379fg9UAAACgymQFu7Fjx5ZqyczMjI2NffDgQfPmzU1QVX2xbYeq0su4LjFBIQAAAA8nK9jt2rWrokkcigUAAKgnZAW7Nm3alGqxtrZu1arVpEmTRo8ebYKqAAAAUGmygl1SUpKp6wAAAEA1Vf2qWAAAANQrxkbsVCpZlw7odLoaKgYAAABVx4gdAACAQhgbsdu5c2fZRpVKVVRUtHXr1sjISJNVBQAAgEozFuzK3r5Oq9Vu3bp18eLFt27dEkK0aNFixYoVJqwOAAAAslXiyRORkZELFiy4cOGCEMLe3v7NN9+cO3eulZWVyWoDAABAJcgKdpcuXVqwYMGhQ4eEEJaWlkFBQUuXLnV0dDRxbQAAAKiEhwS71NTUJUuWbN68WavVCiGef/751atXl71fMQAAAOqcsWC3dOnSdevW5ebmCiH69u27du3ap556qrYKAwAAQOUYC3b6CyP69OnTu3fvbdu2hYeHl51t06ZNJikNAAAAlSHrHLvY2NjY2NiKphLsAAAA6gNjwY4DrwAAAI8QY8HuzJkztVYHAAAAqolHigEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKUTfBzt7eXvVPv/32mxDi7t27Y8aMcXV1dXR0HDp0aEpKSp2UBwAA8Cgyr/1NarXa+/fv29razpkzR9/o5OQkhHjppZciIiJ69eplY2Pz/fffBwYGXrhwQa1mWBEAAODh6iDYZWVl6XQ6V1fXlStXGrZfu3YtIiLC3d09NjZWrVb369fv5MmT0dHRfn5+tV8kAADAI6dugp0QoqCg4F//+ldcXJy7u/vixYtfeOGF+Ph4IYSPj480RNerV6+TJ0+eP39eH+wyMjKSkpL06ykqKiouLi4qKqr9LtS4WuvFI7272EuSkpKSGllPPe9mNRUXFwshtFptnXezzgswQqfTifqxl2QqLi6WagZQkToIdpmZmUKI69evOzk59ezZ8+jRo2PGjHniiSfS09OFEA4ODtJs0ou7d+/qF7xw4cKCBQv0b9u0aXP//v179+7VavWmUdVeWNXshuyqVEStqSd7STEeh27m5+fn5+fX3Poq/V0Sj8J+Lioqqv9FSnJycmrqHxtAqeog2Lm5ue3evbtBgwYBAQFCiFmzZn388cebN2/28fExnE36t0ylUulb2rRp89prr+nfHj161Nra2sbGprYKN6Gq9eKeqPQvuEd6d7GXJDU1uFLPu1lNJSUl+fn5lpaWFhYWNbXOKnyXRP3ezzqdLjc319zcXKPR1HUtslhbW3PWNWBcHQQ7Jyen5557Tv/26aef/vjjj1NTU52dncXfB2rF3//mSo2Sli1bTpw4Uf/21KlTVlZW1tbWtVS3KVWtF/dETs1uqKAKRdSierKXFEPZ3SwqKsrPzzc3N6/BblbhuyTq937WarW5ublmZmb1uUhDGo2GYAcYVwc/IV9//bWPj8+8efOkt2fPnhVCtG/f3sfHR6VSxcXFSSfHxMbGCiF69epV+xUCAAA8iupgxM7b2/vKlSvx8fG//PKLmZlZRESEtbX1rFmzWrRoMWLEiH379vXv39/GxubUqVM9evR4+umna79CAACAR1EdBDt3d/fIyMhFixbFxcXl5+f/61//Wr9+vbu7uxAiLCzMxsYmKiqquLh45MiRGzduNDzHDgAAAEbUQbATQvTq1SsqKqpsu4ODw7Zt22q/HgAAAAWom2AHoM79OasqlwIYarbJtkYqAQDUFC4vAgAAUAiCHQAAgEIQ7AAAABTicTnHrmDh7Kos1rWm6wAAADAZRuwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCmNd1AQDw/2zboarCUuPH6Wq8EgB4RDFiBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBA8eQLAo011fGllF9H5LTdFJQBQ5xixAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiePAFUTsHC2dVcg+bdj2qkEgAASmHEDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAAphXtcFAFCggoWzq7JY15quAwAeM4zYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKMQj/OSJ4uLirKysBg0ayJnZ1tTVVE96enqVltPU7IbYS3I2VP29VNWO/D86na7aJdQMIx3hu1TtbdWewsLC+l+k5N69e8XFxXVdBVCvPcLBztzc3MHBwdHRUc7MBaaupnpk9qKUP0VOzW6IvSRnQ9XfS1XriF5eXl61S6gZRjrCd6ma26odWq02IyPD0tLSzs6urmuRxd7e3tz8Ef6zBdQCDsUCAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEKY13UBwGNn2w5VdVfhuqQmCgEAKA0jdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBCEOwAAAAUgmAHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCHM67oAAEDVbduhquYaRgzPrpFKANQHjNgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEIQ7AAAABSCYAcAAKAQBDsAAACFINgBAAAoBMEOAABAIQh2AAAACkGwAwAAUAiCHQAAgEKY13UBAIBH25+zcqq5hmabbGukEgCM2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQnBVLIDHjmp/XhWWSqvxOuqHhvFrq7mGNPF/NVIJgOpjxA4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBDc7gQA6kzBwtnVXUXXmqgDgFIwYgcAAKAQBDsAAACFINgBAAAoBOfY1Qs84AgAAFRf/Rqxu3v37pgxY1xdXR0dHYcOHZqSklLXFQEAADwy6lewe+mll7766is3N7fu3bt///33gYGBWq22rosCAAB4NNSjQ7HXrl2LiIhwd3ePjY1Vq9X9+vU7efJkdHS0n59fXZeGeoED1gAAGFePRuzi4+OFED4+Pmq1WgjRq1cvIcT58+fruCwAAIBHRD0asUtPTxdCODg4SG+lF3fv3tXPkJqaeubMGf3bgoKCgoKC/Px8OStX1WSljzDju4u9JGEvyWRkR7GX9Pg6ySHzN3lhYSHn5wDG1aNgV4pOpxNCqFT//++9K1eurFq1Sv+2TZs2ubm5OTk5sla3YGkVanhWVHqpO1XYjBBCPKjKQn0qvcRD9hZ7SQhhmr1kqAp7rJSq7sB/8pL1p9QIYzuqtr5Loop7o5a+S+Ix+TqZ9LtkIDc3l2AHGFePgp2zs7MQIisrS3p77949faOkffv2//73v/VvDxw40KBBA1tb29ots4ry8vJKSkpsbGwMoypKKSgoKCoqatCggXQ4HuUqLCwsLCy0srIyN69HP7/1TUlJSV5enqWlpaWlZV3XUn/pdLoHDx6Ym5tbWVnVdS2y8MsBeKh69IfBx8dHpVLFxcUVFxebm5vHxsaKv8+0k7i6uo4aNUr/9tChQxqN5lH5fVRQUFBSUmJlZUWwM6K4uLioqMjS0pLIYoROpyssLLSwsNBoNHVdS/1VVFSUl5f3CEWWOqHVah88eGBmZvao7CVLS0uCHWBcPfrz2aJFixEjRuzbt69///42NjanTp3q0aPH008/Xdd1AQAAPBrqUbATQoSFhdnY2ERFRRUXF48cOXLjxo2MbwEAAMhUv4Kdg4PDtm3b6roKAACARxInKwAAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACgEwQ4AAEAhCHYAAAAKQbADAABQCIIdAACAQhDsAAAAFIJgBwAAoBAEOwAAAIUg2AEAACiEeV0XUC3ffPONvb19XVchS35+fklJSYMGDVQqVV3XUn8VFhYWFRVZW1ur1fzLUaGioqLCwkKNRmNu/mj//JpUSUlJfn6+paWlhYVFXddSf+l0utzcXHNzc41GU9e1yPLnn3/WdQlAffcI/2F48cUX7969W9dVyHX58uWMjIwhQ4YQWYy4dOnSH3/84evra2dnV9e11F8pKSkJCQndunVr3rx5XddSf925cyc+Pt7Dw6Ndu3Z1XUv9lZeXFx8f36xZsx49etR1LbLY2dnxtQeMe4SDXb9+/eq6hEo4fPjwhQsX/vOf/zwq/xnXicTExAsXLixYsMDT07Oua6m/vvzyy507dz7//PPPPvtsXddSf505cyY0NLRnz56jRo2q61rqr9u3b3/wwQfOzs7sJUAxGD0CAABQCIIdAACAQhDsAAAAFEKl0+nqugYAAADUAEbsAAAAFIJgBwAAoBAEOwAAAIUg2FWouLhYZUCtVjdt2nTIkCHR0dHlzqBSqRwcHHx8fD7//HPD9SQlJU2bNs3Nzc3S0rJRo0aDBg3au3dvqTWMHj1aP/+RI0dUKtXUqVOFECdOnFCr1S4uLpmZmdLUn3/+2dzcvFGjRmlpaY9ux+XvGf2N5rOysp588kmVShUUFKTT6crOIFm/fr1KpfLz89O35OTkuLq6qlSq6Ojoh+5wObvF3t6+oKBA3z5w4ECpPSYmxrBrUuMzzzxT7koqKqDcfi1btqxsheVuwsvLS1UeHx8fI5OqWXP1paSkvPLKK9I3oXHjxv7+/t9++6006dq1a9LWDecPCQlRqVTDhg0T5X0bJU5OTvKnGuladnb2woUL27dvb2Njo9FoOnToEBwcXFJSYrxHRpaq2gdhZKnq91Gv1NfPSC8q+gE0VP2fApVKpVarGzVq1K9fv//+978P3e0AxCN9g+JaM2HCBGtr65KSkkuXLkVERJw4cSIpKcnV1VU/w4gRI6ysrIQQaWlpMTExU6dO1el00m+omJiYIUOG5OTkODs79+3bNy0tLSoqKioqav78+evWrdOvYe/evcePHzeMI5L+/fvPnj37ww8/XLBgwWeffVZSUjJt2rSSkpL333/fxcXlke64zD0jyczMHDx4cHx8/KxZsz766CNVxY9lmz179pYtW06cOPH1119LfzaCg4PT0tImTJjQr1+/4uJiabaKdvhDqVSq7OzsI0eODB06VAiRkZERHR2tUpW+CGnr1q1CCFtb26ioqNTUVMOdVs0CjG9iyJAhXl5eQogff/wxMTGxQ4cOXbp0EUK0adOmsLCwokm1VnO54uLiBg0adO/ePUdHR19f39TU1MOHDx8+fHjp0qXvvPOO/PXov42Shg0byp9qpGvDhw+Pjo7u2rXr9OnTc3Nzd+/evXjx4pycnNWrVxspxshSRj4jadnKfrLV72MVeiFn8ep/o0aMGGFhYfHHH3/ExsaePHly79693377raWlpfwuAI8jHSpQVFQk7aK0tDSpRavVSr9GDx48WO4MOp0uODhYCOHv76/T6UpKStq2bSuEGD9+fH5+vjTD3r17paeKHT9+XFqDi4uLmZlZ165dS0pKdDpdZGSkEGLKlCnS/Lm5udIzkY4dO7Z+/XohxIABAx71jsvcM9ImMjIypOcdzZ0710iRejExMSqVyt3dPT8/Pzk5WaPRODg43L59W7+U8R1ufLd4eHhoNJqXX35Zaty8ebMQQvqLe/LkSf3ucnd312g0K1asEEK89957pVZipIBy+/X222+XqtDIJiQzZ84UQixcuLBsR8qdVJ2aq0Or1Up777nnnsvNzZUat2/fLmX3s2fPpqSklP1N9cknnwghhg4dqjP6TZA51UjXpIcWqtXqBw8eSIucPXt29OjRq1atMtIpmUtV9oOoaKlq9rGi3WW8F8Y3arwjVfgpiI+Pb9y4sRBi/fr15W4OgB6HYuXSarU///zznTt3rKysunbtWtFs0piQtbW1ECIuLi4pKcnGxmbTpk36J4mNHDly7NixQoht27ZJLQ4ODtOnT79w4UJoaGjZFVpbW2/evFmtVk+ZMmXJkiUNGjQodzbTMUXHZe4ZIURmZuagQYPi4+PfeOONDz74QE7Bffr0mTRpUkpKygcffPD6668XFBSsWrWqSZMm+hmM73Dj1Gq1r6/v/v37paNC33zzjZ2dXefOnQ3niY6OTklJ8ff3nzx5skqlksYtDFWnAJmbqPEVVr/mcl24cOHy5ctWVlaffPKJ9OURQowbN27kyJFCiPDw8BrcVkWMdM3BwaFhw4ZarXbt2rV37twRQvTs2XPPnj1vvfWW8RVWYSlJjX+y+pIq+/FVpxeipr9R3t7ey5cvF//85QCgXAS7h3NxcVGpVGZmZt7e3ra2tgcPHnziiScMZwgKCho7duzYsWP9/PyWLVum0Wjmz58vhEhMTBRCeHp62tvbG87fu3dvIcSVK1ekt0VFRcuXL3dwcFiyZMm9e/fKFtC7d++goKCrV68+ePBg4cKFrVu3NlFPSzFdx2XuGSFEYGDgjz/+aGNjM3fuXPmVv/fee40bN37nnXf27dv35JNPTp8+3XDqQ3e4EcXFxQEBAenp6SdOnMjNzT18+PCQIUOkgUY96W/YmDFjmjdv3qdPn8uXL//888+VLUDa+ZKyRyQfuonKqpGaq+DXX38VQrRr1046IUyvT58+QojLly/LX5XhHlOpVCtXrpQ51UjXzMzMQkND7ezsli1b1rRp03bt2k2YMEF//l9FqraUpDqfbNX6aIpeyOlIZUuSHg4u/eoAYATB7uEmT548c+bMmTNnjho1KjMz84UXXjh69KjhDPv379+1a9euXbtOnDjRoUOHc+fO9e3bVwghHU7SarWlVii16NOATqdzdHRcunTpnTt3li9fXvYEsry8vCNHjkivIyIiyq7QREzXcZl7RgiRkZExdOjQBw8ejBo1yvCSBeOcnJxWr16dn5+vUqk++eSTUsHroTvcOOnUvb1790ZEROTl5RmeAC6EyMvL27Nnj7W1dWBgoBBizJgx4u8/cpUqoGfPnn3+1qJFi8puolJqquYqMBzoNdSgQQMhhP6QnBwjRowYY6BTp04ypxrv2gsvvHDjxo3t27fPmDHDxsYmPDw8MDBw0qRJxoup2lLV/GSr3Mea7YXMjlS2pOzsbCGEmZmZnMqBx1odHgau58o9iWTXrl1CCG9v77Iz/PbbbxYWFhqN5sqVK9LMP/74oxCiQYMG6enphmseN26cEGLmzJnSGtq0aaPT6QoLC9u1a2dhYfHpp5+Kf57+Ig2DTZs2rVevXkKIjRs3Puodl7lnhBAXL14sLCx8+umnhRCTJk0yXqQhaSjIxsambNceusON7BZpWR8fH3d398mTJ1tbW+fk5Lz44ovi73Pstm/fXvanrGnTpsXFxXIKkHOOnfFNSCp1jl01a64O6VLrxo0bFxUVGbZLA7QvvfSS/urvu3fvltohL7zwQkV7TE/O1Id2TavV6l+fP3/e3NxcCHH9+nXjXXvoUpX9ICpaqkb6WNGqKuqF8Y2a4qdgzZo1Qoinn37a2E4HwDl2lSUNKWVkZJSd1L59+9mzZxcUFMyYMUNq6datW8eOHXNzc1999dX8/Hyp8eDBg1JImjhxouHiFlQZSX0AAA2sSURBVBYW77//flFR0bvvvmvYfvr06Q0bNri6uq5duzY0NNTCwuLf//73zZs3TdE7I2q24/L3jLOzs4WFxe7du5s1a7Z58+aPPvqopnpU0Q6X47nnnktJSfn666+fffZZGxsbw0nSsMSAAQMm/q158+a3b98+fPhwTRUgfxM1vsLq7LRyPfXUU87OzhkZGSEhIfrG27dvb9myRQgxYcKEJk2aSEdp9TfTycjIkE600t8fpEaU27Xdu3e3aNHC399ff6MNT09PW1tbIYSRW29UbSlhgk+2lEp9fFXuhTDBN+qnn36SZij1axNAOeo6WdZf+v8aJ0yYMH369OnTpz///PPSX/Fly5bpyvu3Mjs7u1mzZkKIrVu3Si1nz561s7MTQjg7Ow8YMKBTp07SEYelS5fq/vmfq2Tw4MHSOqX/XPPy8tq3by+E2Lt3rzTDokWLhBDDhw9/pDsuc88YbuLkyZMWFhbm5uZHjx41nKHU4addu3ZJ8z90xE5Saoc/dLdIyyYlJUlLbd++XafT6UfsUlNTzczMLC0tDUci33vvPSHE2LFj5RTw0BG7h25CIn/Ervo1V1N4eLh0dH7q1KlhYWHr16+XTuX8n//5H2kGKeQJIXx8fJ599tlGjRoJITw8PO7du6er+JswZsyYxMREOVONdO327dvNmzcXQrRt23b8+PEvvviidFi8e/fuRnokc6nKfhDlLiVzD8j8+Ay/fsZ7YeQHsAZ/CqSVP/3009JIYUBAgOHgJYByEewqVPb8Hltb265du3700UfS4Yly/wZL979wdnbW/1L7/fffJ06c+MQTT1hYWDRq1OiZZ5759ttvDTdh+Avu0qVL0kkk0i+4N954QwgxatQo/Qz5+fnS3U/0CeZR7LjMPVNqE9JwnZOTU0pKSkVnXy1atEiaWWawK7XDH7pb9Mt2795do9FkZ2frDIKd9NfrueeeM1wwLS3N3Nzc2tr63r17Dy3gocHuoZuQWuQHu+rXXH0HDx50c3PTf4gajWbOnDmGB2f379/fr18/JycnGxubjh07Ll68ODMzU5pk5Dy806dPy5lqvGvXrl0LCgpq3bq1tbW1RqPx8PCYO3eu4XHhcslZqrIfRLlLydwDMj++Ul8/I70w8gNYgz8FEisrq+7du3/44YekOkCO0jdWBYDap9Ppfv/99yeffPL+/fuHDx/WD+EAACrFbNmyZXVdA4DHnfQIrHv37sXGxh48ePDq1asJCQm+vr51XRcAPGIYsQNQXxQWFr7xxhtffvllVlaW4RNjAQAyEewAAAAUgtudAAAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0eI7169VL9k1qtdnR0HDJkyPfff19TW3n22WdVKlXNPvCqZm3cuLFly5bSfaGvX79eaqp+Ly1dutSw/csvv5TahRChoaHS6x07dhjOc/XqVY1Go1KpDB8Vf+HChSlTprRt29bGxsbKyqpt27azZ89OSUkxVfcA4DFGsMNjTafTZWRkREREDB06dMOGDTWyzqZNm7q5ubm6utbI2mpcYmLi7Nmzb9y48cwzz6xYscLe3r6iOdetW5eamlrupClTpvTo0UMIsWjRooKCAn37m2++WVhYaGdnJz2yXQixadMmb2/vL774Ijk5OTc3t6CgIDk5eePGjR07dvzhhx9qtGcAAIIdHj+tWrVK+1tKSsrOnTulcLN48eK8vLzqr3/Lli3Xrl07cOBA9VdlCn/88Yf04s0335w1a5aDg0NFc+bm5i5ZsqTcSWq1+qOPPlKpVNeuXdu4caPUePr06d27dwshlixZIj07+Pjx47Nnz9Zqtc7Ozh9//HFCQsKFCxc2btzYtGnT/Pz80aNHp6Wl1XD3AOAxV6cPNANq1VNPPSX++ZBKyaJFi6Qfh/j4eKnl7NmzgYGBjRs31mg0nTt3Dg0NNZw/JCTEw8NDo9F07Nhx586dwcHBQghbW1tpqr+/vxCiR48e+vlTUlKmTJkiPRW3cePGzz77bFRUlH6q9HyFF1988caNG4GBgXZ2do0bN3799df1D0vVarUhISE9e/Zs3LhxgwYNOnXqtHLlysLCwoq6aWRzI0aMKPUbIDExsdy91KdPHyGEWq2+ePGi1L5z585SvzTGjx8vhHBwcJAeENy7d28hRLt27QoKCqQZ/Pz8hBAqlUq/YyW//vqrRqPp1KnTDz/8UFEvAABVQLDDY+ShwS45OVmn00VFRVlYWAghvL29R48ebWVlJYRYvXq1NPMXX3whzWxra9utWzcLCwsp0DRu3FiaoVSwu3z5cuPGjYUQVlZW3t7e0muVSrVlyxZphkGDBgkhhgwZ0rFjR2m7ksWLF0szSMNmFhYWvr6+AwcOtLGxEUI8//zz5fbR+OaWLl3avXt3af0+Pj4DBw68detWuXvp//7v//r27SuE8Pf3l9rLBrvU1FRbW1shxLx583bt2iVN/e6776Sp9+/fl57sHhAQULbOrKysh31cAIBKI9jhMVI22OXl5UVGRjo6OkpDTVqtVqfTdezYUQjh6+tbUlKi0+n2798v5aSMjAydTufu7i6EaNas2c2bN3U6XWRkpBRoHB0dpXWWCnbSgJyTk5M0Nnb//n2pDDs7u+zsbP38ZmZm06ZNy8vLS05Olo5jurq6SmtwdnYWQnzwwQfS259//rl79+7Dhw+/d+9e2T4+dHP6gk+ePGlkL82aNevMmTPSnIcPH9aVF+x0Op10Lp2lpWWLFi2EEEOHDtVP+umnn0olVACAqXGOHR47ycnJ+qtira2tBw8enJ6ebmtr++mnn6pUKunx80KIESNGqNVqIcTw4cNtbW3z8/OPHTt2+/Zt6XLOcePGNW/eXAgxaNAgI8+qT01NjYmJEUJMmDChbdu2QghbW9t58+YJIe7fvx8VFaWf09LSct26dVZWVq1bt37++eelZaXrEjQajRAiLCxs165dqampXbt2/fHHHw8cONCwYcMqb+6hdDrdU089JVWyYMECrVZb7mzz5s1r165dYWHhjRs3LC0tP/jgA/2kBw8eSC+cnJzkbxcAUB0EO0D07dv34sWL/fv3F0LcuHFDalywYIH+lig5OTlCiOvXr9+6dUua2rp1a/3iXl5eFa05MTFRetGuXTt9Y5s2baQXycnJ+sbWrVvb2dlJr6XIKISQLuYIDg5WqVQXL14cO3Zs8+bNPTw8/v3vf9+5c6c6m5Np9erVFhYWFy5c2Lp1q3Sjk1IsLS31F8AGBQV5eHjoJ+lz5+3btyu7XQBA1ZjXdQFAbXN3dz937pz0OjAw8PTp0xcvXpROpDM0ePBg6ZisnoeHh06nk14bphx9oxGGI17619KIoMSwAOnUNL0JEyZ07949NDT06NGjv/76a1JS0urVq/fu3XvmzJmKrml96OZkatOmzYwZMz766KPFixe/++675c4jHZs2fCFp166dpaVlYWGh/pCuoR9++KFLly76CAsAqBGM2OGxo1arnf62adMmtVp97969OXPmSFNbtWolvRgwYMCGfxo2bJiLi4s0NSkpSb/CS5cuVbQt/cjZb7/9pm+8cuVKqakP1blz548++ujy5cvp6ekhISHSSsreUaWmNmdo6dKl9vb2t27d2rJlS6UW1Gg0AQEBQohjx47FxsYaTrp06dKoUaPc3Nzef//9KpQEAKgIwQ6PNW9v72nTpgkhdu/eLT18ws3NTTq0Gh4efv/+fSFEYmJi//79R40alZCQ4OLiIh1t3Llzp3Tz3kOHDp06daqi9bu4uEhHeLdt23b16lUhRFZWlnQiWpMmTQYOHPjQCpOSkgYNGtS2bVvp/nMODg4vvviidGGsKTZXlqOj45tvvimE0F91Id8777xjaWkphBg2bNiGDRsSEhIuX74cEhIyaNCg/Px8S0vLkSNHVqEkAEBFCHZ43AUHB0v3BHn11Vdzc3OFEBs2bDA3N09ISGjTpk3v3r27du0aHR19//59T09PlUr1+uuvCyH+/PPPdu3adenSZfjw4dIzGCryn//8p3HjxhkZGV5eXj4+Pq1atfrpp58sLS2/+OKLssd/y2rTps39+/eTk5O7du36zDPPBAQEeHh4PHjwoHnz5oGBgTW+uXLNnTtXuui1srp06bJjxw4rK6usrKx58+Z16tSpc+fOM2bM+Ouvv6ytrfft26c//w8AUCMIdnjcOTo6SncYvn79+ttvvy2EGDhw4IkTJ/z9/QsLC+Pi4lxcXFasWHHgwAHpHLXp06evWbPmiSeeKC4uVqvVO3fulO4PUtEZbB07doyLi5s0aVKjRo0uXrxoaWn53HPPnT59eujQoXLKU6lUR44cWbBgQbNmzU6fPh0dHW1vbx8UFHT27NlyT7Cr5ubKZWVltXLlyqotO3r06N9++2327NkdOnSwsbGxtLRs3br1a6+9lpiY+Mwzz1S5JABAuVRyzvsGYMTo0aP37t3brl07/dlsAADUCUbsgMpZsmRJly5dvL298/PzhRC3b98+cuSIEMLI3ewAAKgdjNgBlXPgwIGRI0dqtVo3N7dOnTqdO3fu7t27jRs3PnfuHGeMAQDqFiN2QOUEBgZGREQMHjxYehyZRqOZMGHC+fPnSXUAgDrHiB0AAIBCMGIHAACgEAQ7AAAAhSDYAQAAKATBDgAAQCEIdgAAAApBsAMAAFAIgh0AAIBC/H9BDVGjdvBE3gAAAABJRU5ErkJggg==",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# increase width of x axis and\n",
        "ggplot(region_loc_df, aes(x = BORO, y = Frequency, fill = LOC_CLASSFCTN_DESC)) +\n",
        "  geom_bar(stat = \"identity\", position = \"dodge\") +\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 1))+\n",
        "  #geom_text(aes(label=Frequency),vjust=-0.25,fontface='bold')+\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        #axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        plot.title=element_text(color='black', face='bold', hjust = 0.5),\n",
        "        ) +\n",
        "  labs(y=\"Number of incidents reported\", x=\"Regions of NYC\") +\n",
        "  ggtitle(\"Number of incidents reported in each locality \\n\n",
        "   in different regions\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wFyS4izolfV4"
      },
      "source": [
        "### Gender wise representation of each age group\n",
        "\n",
        "- Stacked bar plot representing the gender of each age group quantitatively"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "id": "R6WEuyS0lfsQ",
        "outputId": "b83cf1d1-f114-4d9f-b16f-f3cfbd8a6500",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 8 × 3</caption>\n",
              "<thead>\n",
              "\t<tr><th scope=col>VIC_AGE_GROUP</th><th scope=col>VIC_SEX</th><th scope=col>Freq</th></tr>\n",
              "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><td>0-18 </td><td>F</td><td>  427</td></tr>\n",
              "\t<tr><td>18-25</td><td>F</td><td>  826</td></tr>\n",
              "\t<tr><td>25-45</td><td>F</td><td> 1073</td></tr>\n",
              "\t<tr><td>45-65</td><td>F</td><td>  366</td></tr>\n",
              "\t<tr><td>0-18 </td><td>M</td><td> 2527</td></tr>\n",
              "\t<tr><td>18-25</td><td>M</td><td> 9554</td></tr>\n",
              "\t<tr><td>25-45</td><td>M</td><td>11898</td></tr>\n",
              "\t<tr><td>45-65</td><td>M</td><td> 1615</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 8 × 3\n",
              "\\begin{tabular}{lll}\n",
              " VIC\\_AGE\\_GROUP & VIC\\_SEX & Freq\\\\\n",
              " <fct> & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t 0-18  & F &   427\\\\\n",
              "\t 18-25 & F &   826\\\\\n",
              "\t 25-45 & F &  1073\\\\\n",
              "\t 45-65 & F &   366\\\\\n",
              "\t 0-18  & M &  2527\\\\\n",
              "\t 18-25 & M &  9554\\\\\n",
              "\t 25-45 & M & 11898\\\\\n",
              "\t 45-65 & M &  1615\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 8 × 3\n",
              "\n",
              "| VIC_AGE_GROUP &lt;fct&gt; | VIC_SEX &lt;fct&gt; | Freq &lt;int&gt; |\n",
              "|---|---|---|\n",
              "| 0-18  | F |   427 |\n",
              "| 18-25 | F |   826 |\n",
              "| 25-45 | F |  1073 |\n",
              "| 45-65 | F |   366 |\n",
              "| 0-18  | M |  2527 |\n",
              "| 18-25 | M |  9554 |\n",
              "| 25-45 | M | 11898 |\n",
              "| 45-65 | M |  1615 |\n",
              "\n"
            ],
            "text/plain": [
              "  VIC_AGE_GROUP VIC_SEX Freq \n",
              "1 0-18          F         427\n",
              "2 18-25         F         826\n",
              "3 25-45         F        1073\n",
              "4 45-65         F         366\n",
              "5 0-18          M        2527\n",
              "6 18-25         M        9554\n",
              "7 25-45         M       11898\n",
              "8 45-65         M        1615"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "age_gender <- subset(data, select=c(VIC_AGE_GROUP, VIC_SEX))\n",
        "age_gender_df <- as.data.frame(table(age_gender))\n",
        "age_gender_df <- filter(age_gender_df, VIC_AGE_GROUP!='UNKNOWN', VIC_AGE_GROUP!='1022', VIC_AGE_GROUP!='65-100', VIC_SEX!='U')\n",
        "\n",
        "View(age_gender_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "U_BHxINanwoL",
        "outputId": "7bf0d206-166b-4ea6-8b16-b7bc901f5565",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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SOL5R21Wxj9ywBw4c0LJxfvnlF6Wbi4vL8uXLY2Nj582bpxwoVI6clniVNRbw+eefK92cnJy+++67EydOzJkzp2TfAEVpHNzMB0Hjq2Ya+958881ffvll4MCB6ol0RRdk/oMJWAPBrmIpKCiYNGmSet1ZUYGBgWvWrDGdRb0KzJSDg8PGjRuVDhr/GKSlpRW9/Fa92K1q1aqlX+LDqHezE/+970nR9s8//1xtLzr+ihUrTIOvqQkTJmivvCjz66J9UwwdOtT0+hghhL29/aZNm8pkKWW1+hrfKvfv31cTjyIxMdH0FsFKHPnqq6969eqlruyPP/5YdMbk5ORiF/r1118Xe/5Wu3bt1LvgljjYaRzfqC3YPXLD5uXladk4RqNxxIgRRccxGAzqR75kq6yxgNTUVHW3vUr9V9P0FuUl+BxpHNz8B0HLq5aXl9ekSRPTqXq9PiIiQjlE6+3tXWhB5j+YgDUQ7Cqi2NjY8ePHt27dWvllIS8vr+bNm7/55ptr167Nzc0t1LmgoODHH38MCwtzd3fX6/W+vr6DBw8+duyY2kH7H4Pbt28PHTq0atWqzs7OzZs3X7hwYV5enpIynZ2dS7/Ehzl69Kj6rarcqU6h7uARD95Wqtjx9+7d++qrrwYEBLi4uChVvfDCCxs2bLBoWxVlfl20b4r33nvv9OnTffr0cXd3d3FxCQsLM70xRCmXUlarr/2tEhUV1axZM4PBUKVKlbCwsPT09Bs3bgwZMsTX19fZ2blVq1Y//fST0Wg8ceJEs2bN9Hp97dq1lfUtOuPDFrpv374BAwbUrFnTwcHB3d396aefnjt3bnZ2dgmqLdYjxzdqDnaP3LAaN47RaFy5cmXXrl2rVq3q4OBQs2bNV155xfTuHiVeZY0FxMfHDxo0SPkGaNGixeLFi2/evKmMXL16de3rWywtgz/yq0PLq3b37t1BgwZ5eHhUqlSpQ4cOkZGRRqNRuUGmi4tLoQWZ/2AC1qAzWnKnAADlyvTp05VfpRwzZsw333xj63IAy5w7d65hw4ZCiKCgoHPnzj1Bg5vHBxM2xFWxgAz4Dw3l3IkTJ6Kjoy9dutS2bdsBAwYojcqtJYUQhY5vlqvBS4MPJh4/gh0AwOri4uLeeecdIYSnp6e3t3dwcPChQ4emTJmiTB06dGi5HRx4shDsAABWFx4e3r9//1WrViUmJqo/XKt47bXXXnzxxXI7OPBk4T52AACrs7e3//nnn5csWdKhQ4fKlSvb29tXq1atW7duv/zyy+LFi8vz4MCThYsnAAAAJMEeOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEhX0J8Vmz559/vx5W1cBAECF8Prrr7dq1crWVVQIFTTYnTlz5o033qhRo4atCwEAQHKLFy9OSkqydRUVRQUNdkIIHx+fmjVr2roKAAAk5+bmZusSKhDOsQMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEnpbFwAApRIZGfnXX3/ZugoUz8/P7+2337Z1FUAFQrAD8GSLjo6ePn26ratA8dq0aUOwAx4ngh0AGXzZ+elW1b1tXQUe8Nwvq21dAlDhEOwAyKCZt1en2rVsXQUA2BgXTwAAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJva0LAACp/HT67Ht/RqdkZzf2rHrktcEapxYYjctPnV107FRcSkp6Tq5fZbfe9QMmdGjjYTAIIYxC/Hbm/JyDR88m3RVCPOXlOa5d6/DAulrmBVChEOwAoGzcup/+9pa/NsVdLsHUKbv2T997UAjh6+pazd0p9m7K7INHo6/d2Dn0JXudblxU9PzDx9XOB+JvvbR643/69BjQKOiR85b1WgIo1zgUCwBl4/VNf26Ku9y1jl/r6t4WTc3My5t14IgQonuAf+xb/zj5+tAJ7dsIIY7cSjh6K+FG2v3/PXJCCBHqV/Py269deOuf7XyrCyHe/2tnvtFofl4rrzGAcodgBwBlw8PJsOj5bhtfesHbpZJFUzNyc3Py84UQT/v5KvvYOtWuqUy6lZ5x+FZCgdEohPggJLi6q0stN9cvOnUQQtxOz9h/46b5ea20pgDKLYIdAJSNJb27D32qUQmmVnN2burlKYSIvno932gUQuy8dkMIUclB3863usHeXulmb6dT+ysPjickmp+3jNYMwBODc+wAoGw42Jn7V9n81OXhzw1dHxF1+VrAtz+4OjhcTEmt6eY6r/szXpWcG3tW1QlhFGLuoWMdavrqdOKbA0eUuRIzMs3PW4ZrB+CJQLADANtzdXRoVK3q6TtJCekZyplxtdxcHezthBB+ld2GNm209OSZzXGXfeZ8Z6fT2el0jvb2Ofn52fn55ucFUNHwyQcAG8vKy392xR+/njkf6lczdsQ/4t95Y3Sblvvjb4WvXHfs9h0hxLzuz0xo38bHpZJOJ5p6e67p30c5KOvi6PDIeQFUKAQ7ALCxbVeuXUxJFUJMaB/sV9mtqrPTlI7t7XW6AqNxRcw5IYSjvf2nYSFX/jUs5d23o4f8vX4VD2VfXZ3KlR85L4AKhWAHADZ2Kz1deaBeJ+FgZ6fT6YQQCRkZeQUFO65e/+7oyZjEu8rUrZeuKA+Ca/iYn/dxrQGA8oJgBwA29pSXp/Jg2amzRiGEEL/GnM8rKBBCtPD2stPpXtsYOTpy++jI7bfTM44n3Jmya78Qop1v9cCqHubnfeyrAsDGuHgCAMrGsyv+iEtOFULczcoUQpy/m1L32yVCiE7+NZf06m5+6otB9Vafj1ty4vTGuEtujg4Xk1OFEHU93P/ZvImdTjehfZt3tm7bee2G//zFyrJcHR3mPNtZCNGmho+ZeW2xGQDYEsEOAMrG7fSM+Pv31ad5BQXKU+WmJOanLgt/7tsjJ34+ffb83eSUrOw6Hu7P16vzUYc2lR0dhRBvtHjKwc5u3uFjF1NSHe3sQ/18Pw1r/5RXNWUo8/MCqFAIdgBQNk68PqTEU/V2dqOCW4wKbvGwDv9o1vgfzRqXbF4AFQfBDsCTLTs7WwhxNinZzcAOqnInNzfX1iUAFQvBDsCTbe/evUKI96J22LoQFCM2NtbWJQAVC8EOwJPN29tbCCGatRBVq9i6Fjxo+7bKlSvbugigYiHYAXiyNW7c+I8//hBDXxXBbWxdCx60I6xWrVq2LgKoWLiPHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJgh0AAIAkCHYAAACSINgBAABIgmAHAAAgCYIdAACAJAh2AAAAkiDYAQAASIJgBwAAIAmCHQAAgCQIdgAAAJIg2AEAAEiCYAcAACAJva0LAGwmNTV1x44dtq4CD9WjRw+DwWDrKgDgSUKwQ8V14cKFvn372roKPNSNGzd8fX1tXQUAPEkIdqjo2vpW71U/wNZV4AG/nD53JumurasAgCcPwQ4VXUsfrw9Cgm1dBR5w5GYCwQ4ASoCLJwAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRh9WD322+/Va9eXafTzZ49W21MTEwcMGCAr69vtWrVevXqdenSpaIzPqyPpe0AAAAVhHWDXXh4+IABA/Ly8gq1Dx069LfffvP392/ZsuWmTZvCw8MLCgo09rG0HQAAoIKwbrA7d+5cVFTUyy+/bNp4+fLliIiIgICA3bt3//nnn2FhYadOnYqOjtbSx9J2q64dAABAuWLdYHfixIkuXboUajx8+LAQIjg42M7OTggREhIihDh48KCWPpa2qwMmJCT8aaLoTkQAAIAnnd6qoxsMhqKNSUlJQggPDw/lqfIgMTFRSx93d3eL2tUBT58+PWHCBPVpUFBQ6dcOAACgXLFusNPCaDQKIXQ6XQn6aG+vV6/eO++8oz7dvn17aWoGAAAoh2wQ7Ly8vIQQKSkpytPU1FS18ZF9LG1XB6xdu/arr76qPt2zZ0/ZrxgAAIBN2SDYBQcH63S6Q4cO5eXl6fX63bt3i/+eFXfgwIGCgoLWrVs/rE/t2rUtan/8awcAAGArVgx2GRkZ06ZNE0Ls379fCLFp06bExMSAgIBhw4b17dt3zZo1nTp1cnFx2bNnT+vWrTt06CCE6NixY3Z29s2bN/38/Irto9PpLGq33toBAACUN9YNdlOnTlWfRkZGRkZGdurUadiwYUuWLHFxcYmKisrLy3vxxRfnzp1rej6ccmXrw/pY2g4AAFBBWDHYeXp6KhcxFOXh4bF8+fKi7efPnw8ICFAvcS22j6XtAAAAFUT5+q3YNWvWtGzZstibpAAAAMA829/uxJS9vb3pT8oCFZNRiN/OnJ9z8OjZpLtCiKe8PMe1ax0eWFeZOmRdxKqzsYVmsdfp0sePfORUUy/+vn5z3GUhxJednx7btpUV1gMA8LiVr2D3r3/9y9YlALY3Lip6/uHj6tMD8bdeWr3xP316DGgUJIRIycoWQjjr9VWcnNQ+erv/O6PU/FTVT6fPKqkOACCT8hXsANxIu/+/R04IIUL9ai7v0yPPaBy8dvP++Fvv/7Wzf8NAe50uNTtbCNG/YeCi57sVnd38VMXt9IxxUdE13VzTc3JTsrOttioAgMetfJ1jB+DwrYQCo1EI8UFIcHVXl1purl906iCEuJ2esf/GTSGEEsWqOTsVO7v5qYp3tm5Lzsr+6pnQ/Idc3gQAeEKxxw4oXwz29soD+/8eP63m7Kw8OJ6Q2KGWr3Kw9eq9tB6/rD5yK8Ggtw8PrPt5x/ZKN/NThRC/njm/LvZin8C6/RsGDt8c9ZjXDgBgVQQ7oHxp7FlVJ4RRiLmHjnWo6avTiW8OHFEmJWZkCiHuZecIIf44d0FpTMsRPxw/feRWwp5XBtjpdOan3snIfPfPaHeD4/882/nxrxoAwNo4FAuUL36V3YY2bSSE2Bx32WfOd9XnLPzj3AVHe3shRHZ+fnZ+vpPe3t3gGFKzxhuc8eYAACAASURBVNFhg88Nf7Vfg/pCiGO37/x8+qz5qUKI0ZHbkzIzv3omrIari03XEgBgFeyxA8qded2f8XV1XXLidGp2dlNvz6mdOvT+ba0QwsXRwWBvf3v0cNPO3z7Xdc35uHyjMerKtSFPNTIz1cXR8Y9zF57x9/tHs8aPdX0AAI8LwQ4odxzt7T8NC/k0LER5evN+enZ+vhCiTuXKRTu7GxyrOjvdychUDsKambrk+GkhxLHbCXW/XaJMzcjNFUJM33tw7qHj2wb383cvZnwAwBOEYAeUL3kFBbuvx59NSg7zq9nYs6oQYuulK8qk4Bo+JxISl56MuZOR+UloSL0q7kKIu1lZSZlZQghfVxfzUy+n3hNCJGdlJ4sHbnGSmp2Tmp2TV8AVsgDwxCPYAeWLnU732sbIG2n3w/xqLg9/7lZ6+pRd+4UQ7XyrB1b1uJSSOv/wcaMQCRmZ83s842BnN/6vncrtUfoE1nVzdDAztXuAf6FlVftmQXpuLr88AQDSINgB5YudTjehfZt3tm7bee2G//zFSqOro8OcZzsLIQI83Me2bTXrwJFtV641XrhUnWtAoyAlt5mfCgCQG8EOKHfeaPGUg53dvMPHLqakOtrZh/r5fhrW/imvasrUqZ2ffsqr2v8cOnY26a5O6IKqVvlHs8bDWzbVMhUAIDeCHVAe/aNZ44ddu6oTYlCThoOaNCzB1EKSxo4oeYkAgPKH+9gBAABIgj12qLji4uKEEAuPnfr++Glb14IHFBQUCCESExN9fX1tXQsAPEkIdqi4lPRgdDTku1SydS140P37IifHaOQOLABgGYIdKq7AwEAhhHiupxjznq1rwYM++UjsjPby8rJ1HQDwhOEcOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASei1d713717lypWFECkpKevWrRNChIeHe3h4WKs0AAAAWEJTsMvJyRkyZEh2dvbatWtv374dFhYWGxsrhKhVq9aBAwdq1Khh5SIBAADwaJoOxU6bNm3lypXXr18XQnz99ddKqnNxcbl+/frUqVOtWyAAAAC00RTsfvnlFzc3tyVLlgghVq1aJYRYuHDhrVu3vL29t2/fbtX6AAAAoJGmYHf16tV27do1a9bsxo0bly9ftre3HzBggKura8uWLa9cuWLtEgEAAKCFpmBnMBiys7OFENHR0UKIRo0aKVdRFBQU6HQ6q9YHAAAAjTRdPFG3bt0DBw7Mnj37hx9+EEJ06dJFCHH58uX9+/fXqlXLugUCAABAG0177F577bXs7OyxY8eePHlSp9O9/vrrQohu3brdu3fvhRdesHKFAAAA0ETTHru33norPj5+0aJFBoNh6tSpTZs2FUL4+/tXq1bto48+snKFAAAA0ERTsLOzs5s6dWqhO5t899139erV4xw7AACAcsKCX57Iycm5efNmZmam2nLu3DkhRMOGDcu+LgAAAFhIU7BLSkoaPnz42rVr8/Lyik41Go1lXRUAAAAspinYDRkyJCIiwtqlAAAAoDQ0Bbtt27YJIVq3bj148GAfHx87O03X0gIAAOBx0hTsPD09ExISduzY4eLiYu2CAAAAUDKa9r2NHz8+Nzc3JibG2tUAAACgxDTtsRs9erSbm1uXLl169uzZsGFDR0dH06mTJk2yTm0AAACwgKZgFxERMXr06Pv3769cubLoVIIdAABAeaDpUOzYsWPv379v7VIAAABQGpqC3eXLl4UQH3/88dWrV7Ozs3MfZN0CAQAAoI2mQ7GtWrU6ePDg5MmT7e3trV0QAAAASkbTHrtFixbVqlVr6tSp2dnZ1i4IAAAAJaNpj93UqVODgoKmTJkyY8aMOnXqGAwG06mHDh2yTm0AAACwgKZg9/PPPysP7t+/f+rUKWvWAwAAgBLSFOxCQ0OdnJw4wQ4AAKA80xTsdu7cae06AAAAUEqaLp4AAABA+Wduj11wcLCvr++6deuCg4PNdOPiCQAAgPLAXLA7fPhwYmKi8uBx1QMAAIASMhfsevTo4ePjozx4XPUAAACghMwFu4iIiEIPAAAAUG5pungiNDR07NixRdv79OnTt2/fsi4JAAAAJaHpdie7d+92cnIq1JicnHzs2LHU1FQrVAUAAACLmdtjN336dA8PDw8PDyHEjh07PB7k6el5/fp1o9H4uEoFAACAOeb22NWqVUun06WkpAgh8vLyit0516tXL2uVBgAAAEuYC3ZDhgwZMGDA9u3bu3fvXrt27b///e8PzKnXBwUFDR482MoVAgAAQJNHnGPn4ODw7LPPtmvXrm3btl9//fXjqQkAAAAloOniiX379uXn569fvz4oKKhBgwZCiMjIyKSkpJdeesnOjh8lAwAAKBc0xbKMjIxevXqFh4fHxsYqLYcPHx44cGCvXr1yc3OtWR4AAEBhffr00el0BoPh3r17hSaFhITodLoaNWrk5+crj+vXr2/a4fjx48OGDatfv76Li4uTk1P9+vVHjRp16dIl7Uu/cOHCe++999RTT1WpUsXBwcHHx6dnz55r164tVMPDXLhw4fTp0waDQafTDRs2zHTkH374QemzePFiy7eKEBqD3cyZM7ds2SKE0Ol0Soty95OIiIg5c+aUbMEAAAAlM2TIECFETk7Opk2bTNtv3rx54MABIcTAgQPt7e2Lzjhv3rxWrVr98MMPcXFxGRkZ2dnZcXFxc+fObdy48ebNm7Us+uDBgy1atJg1a9bp06ezsrKcnJwSEhIiIiJeeOGFH374QWP9TZo0+eijj4QQS5Ys2b17t9J49+7dDz74QAgRGhr62muvaRyqEE3B7tdff9Xr9Rs3blSvgR0zZsyWLVvs7e0XLlxYsgUDAACUTHh4eOXKlYUQa9asMW1ft26dciO2Yi/u3L59+6hRowoKCry8vObPnx8TE3P8+PG5c+f6+PhkZWX169fv5s2bj1z0p59+mp6e7uHhsWfPnszMzLS0tCNHjvj5+QkhPvroo/z8fLVnQEDAneLUrVtX6dy0aVOj0fjWW2/l5eUJISZMmJCYmOjg4PDdd9+pu9Ispekcu7i4uBYtWjz//POmjd27d2/evPnJkydLtmAAAICScXZ2/tvf/vbjjz9u3rw5JyfH0dFRaVdyXoMGDVq3bl10rs8++8xoNOp0uoiIiFatWimNzZo169atW4sWLerWrXv8+PEaNWqYX3RcXJwQonnz5u3bt1daWrZsuXTp0piYmHr16uXl5al7Cu3s7Dw9PR82joODw+LFi9u3b3/y5MnZs2eHhYV9//33Qoj333+/cePGFm0NU5r22Lm4uMTFxSUnJ5s2JiQkXLhwwc3NrcTLBgAAKBlln9y9e/f++usvpSUtLW3btm3iIbvr7t+/v3PnTiFEz5491VSnaNiw4e3bt0+dOvXcc889crn+/v5CiL179y5cuDAzM1Np7Ny589tvv92jRw+DwaB9Fdq0aTNmzBghxGeffTZs2DCj0Vi/fv1JkyZpH6EoTcGuY8eOycnJrVu3njhx4qJFi7777rsPPvigVatW9+7d69ixY2kWDwAAUAJdunTx9fUVJkdjN2/enJ2dLYQYNGhQ0f4XLlxQjpMWSnUKd3d3jct977339Hp9Tk7O8OHDq1Wr1qlTpw8//DAyMlI5nGqqoKAgpQg1Cyo+//zz+vXr379///Tp00KIb7/9tuiPuFpEU7D79NNPnZ2dL126NG3atDfffHPEiBH//ve/b9y44eTk9Mknn5Rm8QAAACVgZ2c3cOBAYXJenZLwQkJC6tWrV7R/enq68sDM4VEtunfvHh0d3aNHD71en5mZGR0dPX369O7du9erVy8qKsq056VLl6oUMXbsWNM+zs7Oyo3khBAGg6Fhw4alqU1oDHbNmjXbtm1b27ZtTRubN28eGRnZsmXLUlYAAABQAsoh15s3b+7fvz83N1e5rPVhv4mlXGwhhLh9+3Ypl9u+ffuIiIikpKSIiIjJkycrAenq1at9+/a9ceOGRUOtWrVq48aNQgi9Xp+dnT169OhS1qb19sLt2rXbv3//9evXt2/fvm3btsuXLx87diw0NLSUiwcAACiZli1bNmnSRAixbt266OjolJQUvV7/0ksvFds5KChIucZi3759Radu3rzZ0kxWuXLlHj16fPrpp/v37//222+FEOnp6Rs2bFA71KtXz1jEggUL1A4pKSnvvPOOEKJnz55ffPGFEGL16tWmI5SAZb8bUbNmzU6dOnXu3Fk5cxAAAMCGlP1zW7ZsUW64++yzz3p7exfb02AwKPf32LZtm3rrOMXJkyf/9re/+fv7P/LXUw8fPvzyyy83bdp0x44dpu09e/ZUHiQlJWkvfty4cbdu3XJycpo3b967776rhNR33nmn0Hl4FjF3u5Pg4GBfX99169YFBweb6Xbo0KESLx4AAKDEBg0aNHHixKNHj6alpYmHH4dVfPbZZ5s2bcrJyendu/fkyZO7d+9eUFCwa9euyZMnZ2VlOTs7v/jii+YX5+fnt3r16pycnFdeeWXOnDkdOnRwcXG5cOGCeslBSEiI2lm5eKLoIE5OTk5OTtu3b1duaDxx4kTlznbffvttp06dLl++/Pnnn0+bNs3CLfF/zAW7w4cPJyYmKg9KNjoAAID1+Pv7h4aG7ty5MzY21sXF5YUXXjDTuVmzZj///POQIUNSUlKKXsSwZs2aYq+6MOXt7T1jxowxY8ZcvXq1aAocOHBgly5d1KfKxRNFB5k4ceKkSZPefPNNo9HYoEGD999/X2nv2LHjq6+++p///Ofrr78eOnRoo0aNzBdTLHPBrkePHj4+PsqDEgwNAABgbUOGDFFuUNe3b18XFxfznfv16xccHDxr1qzIyMirV6/m5ubWqlWrV69eH3zwQc2aNbUsbtSoUa1atZo/f/7evXtv3rxZUFBQrVq1Fi1aDB06tNjbrBRrypQpsbGxQoj58+erd1cWQsyYMWP9+vV379596623tm/frnE0U+aCXUREhPJgw4YNer2m36gAAAB4nN58880333yz2EnFXifh7+9fyl+6Dw0NNX/9aLHLLaTYg61eXl4WnaVXlKa4VrNmzQEDBgwePLhdu3alWRgAAEC5dfXq1bfffttMh3HjxnXu3PlxlVMSmoJdQkLC3Llz586dW69evcGDBw8ePDgoKMjalQEAADxOtWvXLuXdRmxO0+1O+vXr5+rqKoSIi4ubMmVKgwYN2rZtO2fOnNLf4g8AAABlRVOwW7Vq1Z07d9avXz9s2DDl9jAHDx4cM2ZMzZo1ua4CAACgnNB6SYSTk1Pv3r179+5dUFCwZ8+etWvX/v7775cuXdq6datV6wMAAIBGlv3yhBDizp07sbGxcXFxCQkJ1igIAAAAJaN1j92JEyfWr1+/fv36AwcOGI1GpdHV1TU8PNxqtQEAAMACmoKdv7//1atX1adOTk49e/YcOHBg7969nZ2drVYbAAAALKAp2CmpTq/Xd+vW7eWXX37xxRcrV65s5cIAAABgGU3BrlOnTi+//HL//v09PT2tXRAAAABKRlOwK9mvlQEAAFhJVFRUQUFB2Y7Zpk0bDw+Psh3zMeMXYAEAwJPn+eefz8nJKdsxt2/f3qlTp7Id8zEj2AEAgCeSt0ulYc2alMlQ265e33fjZpkMZVsEOwAA8ESq4eIyOSykTIbK2bFbjmBn7gbFV65cSUlJEUJcuHAhPj7+cZUEAACAkjAX7Jo2bbp8+XIhRGBg4CuvvPK4SgIAAEBJmDsUm56evmXLlubNmwshUlNTd+3aVWy30NBQq5QGAAAAS5gLdtWrV9+wYcOGDRuEEIcOHQoLCyu2m/oLYwAAALAhc4diP/jgg8dWBwAAAErJ3B67UaNG9ezZ8+rVq926dWvZsuW///3vx1YWAAAALPWI250EBgYGBgb27du3efPm3bp1ezw1AQAAlDd5eXkODg5F2+fOnTty5MjHX0+xNN3Hbs2aNUKItLS0qKiouLg4Ozu7Bg0adOnSxcnJycrlAQAAlC99+/Y1jUBBQUE2LKYQrTcoXrJkyejRo9PS0tQWHx+fH3/88bnnnrNOYQAAAOXRggULqlevbusqimfu4glVVFTUsGHDTFOdEOL27dsvvPDC0aNHrVMYAAAALKNpj93XX39tNBrbtWs3duzYevXqFRQUnDt3btasWceOHZs2bdrKlSutXSUAAEA5MWLECNNDsZMmTXrqqadsWI8pTcHuwIEDVatW/fPPP11dXZWWtm3b9u7dOyAgIDo62prlAQAAlC9r1641ffr6668/YcEuLS2tadOmaqpTVKlSpV69eidPnrROYQAAAOXRzZs3n+xz7Ly9vWNiYi5evGjaGBcXd+bMGR8fH+sUBgAAAMto2mPXo0ePH374ISQk5JVXXgkMDCwoKDh79uzy5cszMzO5KhYAAKCc0BTsJk2atHr16jt37sycOdO0vVq1apMmTbJOYQAAALCMpkOxAQEBO3bsePrpp00bO3fuvGvXLn9/f+sUBgAAUI7o9Xqj0Wg0GsvtCXZC+w2KmzZtumvXrvj4+NjYWCFEgwYNyvNaAQAAVEBag53C19fX19fXSqUAAACgNDQdigUAAED5R7ADAACQBMEOAABAEgQ7AAAASWi6eKJZs2YZGRmrV69u2rSptQsCAADQ4tzduy0X/1QmQ93OyCiTcWxOU7BLTk6+fv16ZmamtasBAADQws3NLTs7+1p2TtkMZ693dXXV6y27W0g5pGkFvv/++9dee+2TTz75z3/+w4/DAgAAm5swYUJeXl7Zjlm7du2yHfDx0xTsli1b1qJFi7/++qtWrVq1a9euUqWK6dRDhw5ZpzYAAIDiTZw4MSenjHbX/Vf79u39/PzKdszHTFOw++mn/38A++LFi1YrBgAAQLMaNcTbo8pmqK2bxc7oshnKpjQFu9DQUIPBIMGBZwAAIA8XVxEaVjZDnT5VNuPYmqastnPnTmvXAQAAgFKyYCfc3bt3t2/ffuXKlcDAwN69e8fExDRs2NDOjjvhAQAAlAtaY9nUqVNr1qzZr1+/d999988//xRCTJw4sWfPntwDBQAAoJzQFOwWLFgwadKkrKwsFxcXtTEpKWnr1q2zZs2yWm0AAACwgKZgN2/ePGdn5/Xr16elpamN33//vaur65IlS6xWGwAAACygKdhduHChV69evXv31ul0amNQUFCrVq2uXr1qtdoAAABgAU3BzsvL69KlS0aj0bTx3r17MTExrq6u1ikMAACgHMnLy9PpdDqdzt3dPTs7W23v2rWr0r5r1y4blqfQFOxatGhx+PDhzp07z5w5UwgRExMzffr09u3bJyYmtm/f3soVAgAAlBc6ne7evXvKhaRCiLt370ZHR5se0rQtTcFu4sSJer0+Ojp63LhxQojIyMgPP/wwJibGwcHh448/tnKFAAAA5UX9+vUNBsMff/yhPF2/fn1eXl6TJk1sW5VKU7ALCQmJiIho1KiRaWPTpk23bNkSEhJincIAAADKHTs7u9DQ0LVr1+bn5wshVq9e7ebm1rRpU1vX9X+03qC4a9euMTExFy9evHbtmhCiTp06/v7+1iwMAACg3MnLy3v++eejoqJ27NgREhKydevWPn36lJ/fa7CgjqSkpHPnzsXGxl66dOn8+fOmtz4BAACoIPr16yeE+OOPPyIiIjIzM5Wn5YSmPXYZGRljx45dunRpVlaW2ujm5jZixIhp06bp9Rb8LhkAAMATzd/fPzg4eNOmTRkZGc7Ozr169Vq3bp2ti/o/mvbYvfvuuwsXLjRNdUKItLS0GTNmTJ482TqFAQAAlFP9+/e/dOnS77///txzz5n+LpfNaQp2v/32mxCiU6dOv/766/79+/fs2bN8+XLlsgl+eQIAAFQ0/fv3F0Lcu3dPeVB+aDqKmpOT4+3tvXXrVkdHR6Wlffv2/fr18/f3T05OtmZ5AAAA5U69evVatmwZExPTp08fW9fyAE3Brn379vHx8WqqUzg5OXl7ewcFBVmnMAAAgHJEr9eb/grXkSNH1MfLly9fvny5LYoqTNOh2NmzZ9+9e3fmzJm5ublKS0FBwYIFC+Lj4+fMmWPN8gAAAKCVuT12wcHBygM7O7sqVaqMGzdu6tSp9evXF0JcvHgxKSkpMDBw0qRJmzZtehyVAgAAwCxzwe7w4cOFWpKTkw8ePKg+jY2NjY2NtUpdAAAAsJC5YNejRw/zM+fl5RW6BwoAAABsxVywi4iIeGx1AAAAoJQs+NGInJycmzdvZmZmFmpv2LBhmZYEAACggdEocnLKZqiC/LIZx9Y0BbukpKThw4evXbs2Ly+v6FTTS38BAAAek7gLokcXWxdRvmgKdkOGDOGwLAAAKD86deqUU1a76/7Lw8OjbAd8/DQFu23btgkhWrduPXjwYB8fHzs7TXe/AwAAsJKtW7fauoTySFOw8/T0TEhI2LFjR7n6mVsAAACY0rTvbfz48bm5uTExMdauBgAAACWmaY/d6NGj3dzcunTp0rNnz4YNGxb60dhJkyZZpzYAAABYQFOwi4iIGD169P3791euXFl0KsEOAACgPNB0KHbs2LH379+3dikAAAAoDU3B7vLly0KIjz/++OrVq9nZ2bkPsm6BAAAA0EbTodhWrVodPHhw8uTJ9vb21i4IAAAAJaNpj92iRYtq1ao1derU7OxsaxcEAACAktG0x27q1KlBQUFTpkyZMWNGnTp1DAaD6dRDhw5ZpzYAAABYQFOw+/nnn5UH9+/fP3XqlDXrAQAAQAlpCnahoaFOTk6cYAcAAFCeaQp2O3futHYdAAAAKCVNF08AAACg/NO0x87T0/Nhk7Kysrh3MQAAQHmgKdglJSVZuw4AAACUkqZgN3z4cNOnOTk5586d27NnT3h4eGhoqHUKAwAAgGU0BbsFCxYUbdy+fXt4ePjIkSPLuiQAAACURMkvnujcuXNwcPCHH35YhtUAAACgxDTtsSvWzZs3T506lZaWVobVAAAAoMQ0BbuXX365UEtycvLu3bvT09Nr1qxphaoAAABgMU3B7tdff33YJA7FAgAAlBOagl29evUKtTg7O9epU+cf//hHv379rFAVAAAALKYp2F24cMHadQAAAKCU+EkxAAAASZjbY6fT6bQMYTQay6gYAAAAlBx77AAAACRhbo/dihUrijbqdLrc3NylS5dGRkZarSoAAABYzFywK3r7uoKCgqVLl06aNOnGjRtCCD8/v88//9yK1QEAAEAzC355IjIycvz48cePHxdCuLu7T5gwYcyYMU5OTlarDQAAABbQFOxOnjw5fvz4LVu2CCEcHR1HjBjxySefVKtWzcq1AQAAwAKPuHgiPj5+2LBhLVq0UFLd3//+95iYmDlz5pQy1bm7u+sedPbs2UJ9EhMTBwwY4OvrW61atV69el26dKlk7QAAABWEuT12n3zyycyZMzMyMoQQYWFhM2bMaNeuXekXWVBQkJaW5urqOnr0aLXR09OzULehQ4dGRESEhIS4uLhs2rQpPDz8+PHjdnZ2lraXvmAAAIAngrlgp14Y8fTTT7dv33758uXLli0r2m3evHkWLTIlJcVoNPr6+n7xxRcP63P58uWIiIiAgIDdu3fb2dl17Nhx586d0dHRderUsai9c+fOFtUGAADw5NJ0jt3u3bt37979sKklCHZCiOzs7GeeeebQoUMBAQGTJk166aWXTPscPnxYCBEcHKzscgsJCdm5c+fBgweTkpIsaifYAQCAisNcsCuTA69FJScnCyGuXLni6enZtm3bv/76a8CAAbVq1erQoYPaRwlqHh4eylPlQWJioru7u0Xt6oBXr17dtm2b+jQnJ8caqwYAAGBD5oLdvn37rLFIf3//lStXVqpU6fnnnxdCjBw5cv78+T/++KNpsCtE+dWyoj9xpr09Li5u7ty56tOgoKDSrgYAAEA5Y8F97MqKp6dn//791acdOnSYP39+fHy8aR8vLy/x34O2QojU1FSl0dJ2dcAmTZpMnz5dfVrsj2oAAAA80WwQ7H7//fcvv/wyLCzsm2++EULs379fCNGgQQMhxIEDBwoKClq3bh0cHKzT6Q4dOpSXl6fX65Uz/EJCQmrXrm1Ru7pQb2/vbt26qU9Xrlz5eFcaAADA6mwQ7Fq1anXu3LnDhw+fPn3a3t4+IiLC2dl55MiRQoiOHTtmZ2ffvHnTz8+vb9++a9as6dSpk4uLy549e1q3bt2hQwedTmdR++NfOwAAAFuxQbALCAiIjIycOHHioUOHsrKynnnmmVmzZgUEBKgdlCtblyxZ4uLiEhUVlZeX9+KLL86dO1c5Z87SdgAAgArCBsFOLIGSMQAAIABJREFUCBESEhIVFVW0/fz58wEBAeolrsuXLy/ax9J2AACACqJ8/TDDmjVrWrZsaTAYbF0IAADAk6d8BTt7e/vZs2fbugoAAIAnkm0OxT7Mv/71L1uXAAAA8KQqX3vsAAAAUGIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEkQ7AAAACRBsAMAAJAEwQ4AAEASBDsAAABJEOwAAAAkQbADAACQBMEOAABAEgQ7AAAASRDsAAAAJEGwAwAAkATBDgAAQBIEOwAAAEnobV3Ak6p9+/bx8fG2rgLF++KLL4YOHWrrKgAAeNwIdiV0/fr1+Bs3vCo527oQPCArLy81OyctLc3WhQAAYAMEu5Lzcal06e3XbF0FHvDTqbPDNkXaugoAAGyDc+wAAAAkQbD7f+3deVyVZf7/8fcBZBEQFFBQE3FBUyMXcsGFFBl3LbXIJbOZJi3Tcpr2qX6Tk21T+a2pLMesbNFyzVxIzclcUlHS3EURNxQVWWWRw/n9cY5HRERU4NDN6/nwj/u+ruu+z+fmeqhv7u0AAAAYBMEOAADAIAh2AAAABsHDE0Yzf1/Ce1vid54+6+JkauzjMyS06ZOd2rs5O0sa/f2KeXsPFBvvbDJlP/VY6dtuPZnS9Yu5JX7cu70jH2kfVqFHBAAAyohgZyhf79r756WXngndnnJ6e8rp3WfOfjm4r6S03DxJHi4utd3d7WNcnExl2RYAAFR9BDvjKLRYnvppnaTb6wZ8NaSvZ40aE2J/Wnbw8Ly9B6b06BLi65OelydpeMvmM/r3vq5tb6/rnzThL0XHx59KuXveEhcnp17Bt1TW8QEAgGsg2BnHiazs9oEBkiaGt21W21fSn29vs+zgYUmH0jJCfH3S8vIk+Xm438C29Txr2gcXFBa+vPZXizTpjrYt/GpX/JEBAIAyIdgZR0NvryX3DCnasudMqnWhvrenLl6KPZKR2WfOwm0nU9xcnAc3bzKlRxc/D49rblvUu5vjt6ecDvLyfK5Lxwo6FgAAcAMIdoa1Jfnk1A2bJfVo1OBWvzqSMvLyJS3Yl2AdkJmvT7fv2nYyZcOYGCeTqfRt7VKyz7/x6xZJz3a5w8u1RqUcCgAAKBNed2JMPyUdHTB3cU5BgZ+Hx8d9oyTlmc3uLs4+bq6dGwTF/2XUvnEPDGvRTNJvp05/vWtv6dsWNWX9pqz8Cw29vR4Ma1VphwMAAMqCM3YG9PWuveOWr75QWNjA22vpvUNCfH0kuTk7n3p8XNFhH/aNWrT/oNliWZ10dHSbW0vZ1u54ZtasHbslTbqjnauzc2UdEAAAKBOCndF8tmP3+BWrJXWsH/jd3QOKPvRQjI+bax0P99Pnc6yXaMuy7Zzd+wsKC03S8JbNKuwIAADADSLYGcqqw0cmxP4kaWCzkNmD+3q4XJrfHSlnvvh99+nzOS9169y0to+k1Nzcszm5kup7eZa+rd2c3fskdWoQVN/Lq1IOCAAAXAeCnXHkFBRMiF1jtliCfWq90zsyIy/ffirOs0YNb9caH2zdbpFSzud80KdnDSenp376pdBikTSoeZPSt7U+JHEq+/zvp89IurNRQwcdIgAAKA3Bzjh+SEhMSs+QlJSeETr9s6Jd/+ja8R9dO03u2P6dzdvWJB1t9ckX9q6YW0P/FBL83d4DpW+rIi9A4d11AABUTQQ74ygwF5Y+4NU7u7YJ8Hsv7re9Z1NNMoXWqT02rNW4dreVZVtJZ3NzrQu13d1uvloAAFDuCHbGMaJ1ixGtW5QywCSNbN1yZOuWN7CtpGEtmg17euJNlQgAACoS77EDAAAwCM7Y3aDs7Oyc3Nz7Fi1zdCG4zJGMTEknTpxwdCEAADgAwe4GZWRkmM3mRfsPOroQlCAhIcHRJQAA4AAEuxvk6+t7Nj9fjz/p6EJwud+3a/HCli1LuI8QAADDI9jdIA8PD8mkqN6OLgSXMxdo8cK6des6ug4AAByAhycAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCAIdgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCAIdgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATBDgAAwCAIdgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMwsXRBQAAoPHjxycmJjq6CpTswQcfvO+++xxdBcqEYAcAcLz169fv3LnT0VWgZJGRkY4uAWVFsAMAVAk1a7gkPvoXR1eBy8QeOjxmSayjq8B1INgBAKoKHzdXR5eAy9SsUcPRJeD6EOwAACjNV7v2PrlqbVpeXiv/Otv+PKpo19mcnJd/+fWHhMS03NxGtWrd3+bWJzu1dzKZrrnt6O9XzNt7oNgHOZtM2U89VqHHAsMj2AEAULKTWdmPxv607ODhEnvT8vJ6fjV/f+o56+r+1HMvrt2QkZ83pUfEtbfNzZPk4eJS293d3ujiZCpxMFB2BDsAAEr20LJVqw4fiWp8S1pu3taTKcV639wYtz/1nLuL85y7+neqH/S31T9/s2vfB1u3/71TuI+ba+nbpuflSRresvmM/r0r6WBQPRDsAAAoma+724z+ve9vc+vd85cU67JIX+7aK+mh29v0bdJY0ps9u9/bMrR5HV9v1xqlbyspLS9Pkp+H+5VdwM0g2AEAULJZA/9Uw6nkN/knpqWnZJ+XFNW4kbUloKZHv6aNy7KtLl6KPZKR2WfOwm0nU9xcnAc3bzKlRxc/D49yrB/VEMEOAICSlZLMDqdnWBcKLZZhC374X9IxFydT/2Yhb/bsHlDTo/RtJWXk5UtasC/BupqZr0+379p2MmXDmJiiz14A14uvFAMA4Lpl5V+wLjy0bOXKxCMmk9Lz8r/Zta/PnAUXCgtL3zbPbHZ3cfZxc+3cICj+L6P2jXtgWItmkn47dfrrXXsrvHQYGmfsAAC4bvYTcm0C/OcNHVjLzfW1DVteWffr7jOp3+7ZP6p1y1K2dXN2PvX4uKItH/aNWrT/oNliWZ10dHSbWyuwbhgdZ+wAALhudT1rWhfG3Harj5urSZrcsZ31GurvKWeud28+bq51PNx18RItcMM4YwcAwHVr5V/H3cU5t8B8Muu8tSXfXGiRJLm7XOP/1h0pZ774fffp8zkvdevctLaPpNTc3LM5uZLqe3lWaNkwPIIdAADXzcPFZUjzpnP37H9/6293BjcIrVPnxbUbrF1dG9YvfVtv1xofbN1ukVLO53zQp2cNJ6enfvql0GKRNKh5kwovHYZGsAMAoGTR3yw4eC5dUmpujqT9qWlNPpwlKTK4wawBf/pXZMSaI8dSss93n/2dfZPIRg17hzS65raTO7Z/Z/O2NUlHW33yhX3bmFtD/xQSXKlHCMMh2AEAULJT2edPZGXZVwsKC62rZ87nSLqllvcvo+95+ZeNKxOPZuTlNfLxvrdl6NNdwk1l2PbVO7u2CfB7L+63vWdTTTKF1qk9NqzVuHa3VerhwYgIdgAAlGzHQ6NLHxDsU+uzgX1uYFuTNLJ1y5GlPjwL3ACeigUAADAIztgBABwvNTU1r8Dcf+4iRxeCy5zJyZGUlJTk6EJQVgQ7AIDjpaammi2Wn5KOOroQlCAxMdHRJaCsCHYAAMcLCgpKPHZM/3zV0YXgcnt364vPbruNpzr+MAh2AADH8/T0lJOzukQ4uhBczlIoyc/Pz9F1oKx4eAIAAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGwVeKAUBF+nGF3p+mrCw1DtGs2Zd17d+nT2do505dyFeTphp5v7r3kKR9ezX+oZL3Nmmy7h4mSStjtXihjiQpN1f1G6hXlGJGys2tgg8GQFVHsAOAinH2rN5+Qxs3lNx7OFGTJigv17a6d49efkH//Je6R157zzNn6MvPL60mHdasmdq5U2++fdNFA/hjI9gBQMV4/VXFbVb4HcrM1L69xXs/+1R5uaoXqDffVq1aeuVlxW/Txx+pe6SaNdf87y8bfGCfnntazs7qEK7kZH31hST16q1HJqiwUP9+U1s2acsmpaSobt1KOjoAVRLBDgAqhpeXnnleffvruaeLdxUW6teNktR/gBoFS9LwexW/TcePKfGQQpqoTp1Lg81m/fcTWSwaHqNGwTqZrCeelKQekfKtLUm9o7VlkyRlZhDsgGqOYAcAFeOFl+RylX9jk0/YLsI2amxrCb64cOigQppcNnjuN0o4ID9/jRkrSYFBGnyXrctSqOPHtWSxJDUKVuOQciwfwB8RwQ4AKsbVUp2ktDTbgpeXbaFWLdvCuXOXjTyXarud7v4H5OFxWdfPa/T/XpSkmp7q009/HS9n55uvGsAfGq87AYBKl59vW7BHMWeX4l1Wn32qnBzVrasBA6+6t7xcJZ/QyeRyLxPAHw7BDgAqnaurbcFsvrhQYFtwL/LKktMpWrpEkobHyKVG8Z10j9TSWM2Ypfbh2rFdkycqmWwHVHcEOwCodHX8bAtZmbaF9PSLXf6Xhq1eKbNZJpN69iq+B0uhnJxU01PNmmvy3yXpwgX9tKoCawbwR0CwA4BKFxgoTy9JSjxkazmYYFto0eLSsJU/SlKrNvIPuNS4ZLGGDlbUnUo+YWuxn/+zx0QA1RXBDgAqncmkHpGStHyZDh3UqZP6do4ktWipoPq2MampOnRQktq1v2zbJk10LlWWQv37DSUdVnKyPnrf1tWiZSXVD6Cq4qlYAKgYTzym48clKSNdko4e0T13S1K79nr+RY0Zq3VrdTpFf3nANt7FRY8+dmnzpETbQnDwZbttfZuiorV6pbZt1djRl9pDW5TpWysAGBrBDgAqRmqqzpy+tGo221at7zoJDNL/faCPP9Lv22U2K7SFHnxIYW0vjU/PsC14exff8wsvqlVrrVimI0kyFyowUN17aPQDvO4EAMEOqPIshVqxXEsW6/hx5ZxXvXqK6Kb7x156Bdr/1mjeXB1MkLOLgoLUPVIjRqnGxYco09M18xNtWKfMTNULVN/+GjFSJm7DqHhffH2NASFN9PpbV+29s6fuXFdyl8lJQ4dr6PAbrw2AQRHsgCrv05m2V9T6B6hWLR07qm/n6Ld4fTRDTk76MVavTbk0OOGAEg4o8ZBefkWSsrI08REdPWLrPXpEM6YrO0t/HV/phwEAqHD81g5UbXl5mvO1JHXspLnzNfsbjX5Akvbv0/59shTqw/ckqVlzzZ6jeYvUJUKS/veT7ZHJr77Q0SNyddXrb+n75YruI0nz5yk7yzGHAwCoSJyxA6q23FwVXJCksNvl5CRJ7drbTuClntXpMwptKUnD71XDhpI0cLA2bpCk48cVGKTYFZI0aIg6dZGkRx9Tryg1bKSaNSv/UAAAFY1gB1RtPj5q0lSHDuq3eI0YLScnbY+XJDd3tWot39p68+3Lxh8+bFsICFDyCZ1LlaTwO2yNvrXVOaKySgcAVDaCHVDlvfyKXnlZcVs0/C55eOjEcQXU1d/+Lt/axUfu2a0vZklS23YKbqytcbb2QoteeEbbtsrZRRFd9ehjJWwLAPjj4x47oMrz8FDjxnJy0rlUnTguSXXryuWK38q2xunvk5WXJx8fPf2cJOXk2Lpe/5c2b5bJpOwsrYzV5EkqKCi+OQDgj49gB1Rt+fl6YqJWr9LtbTV3vhYv1T33addOPf13Hdh/adiPsXr27zqfrYC6+r8PbN9e4HLxrWZNmmrREi39UQ8+JEmHE/lSUQAwJIIdULVti7OdpRv9gOrWUy0f/XWcnJxkKbR9kaikZT/otSkqKFCr1pr+XwU3trXXrmNb6Ntfnl4ymRQzQiaTVOSbSQEABkKwA6q2s2dtC/YXDrs428JZ2jlJitust9+UpIhueuc91alzadvGIbavh09NtbUUXJDFIkmubhVeOQCg0hHsgKqtaVPbQuxyWyZbtVJmsyQ1b668PL39lgoLFRikSU8oO1upqbY/OTlyc1P3HpI071vt2a3sLM342La3sLDKPxQAQEXjqVigamvZSj3u1Nr/aekSbVivmjVtV2brN9CAQdqwTieTJelksu67/AumHvizxv5ZDz+ibdt0LlWPPnypq117hXesxGMAAFQSztgBVd5L/9SjE9U8VOfP69QpBQZp6D368BPV9Lz2w6116+nDjxUVLR8fubioQUPd/4Bee8t2MRcAYCycsQOqPGdn3ROje2JK6IruY/uWsFIEBukfL1dEXQCAqoYzdgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQAAGATvsas2nntav26QpPETFDPC1vi/NZo3VwcT5OyioCB1j9SIUapRQ/v2avxDJe9n0mTdPaySagYAANeDYFc9/LjCluoua4zVa1MurSYcUMIBJR7Sy69UZmkAAKC8EOyqgdRU/ef/FFBXOeeVlWVrtBTqw/ckqVlzvTxFHu56+01t3KD//aSHx6tZc83//rKdHNin556Ws7M6hFd2/QAAoGwIdtXAu28pM1N/e0pvvX6p8fQZhbaUpOH3qmFDSRo4WBs3SNLx4wqqrzp1Lg02m/XfT2SxaHiMGgVXZu0AULWsjNXihTqSpNxc1W+gXlGKGSk3N1tverpmfqIN65SZqXqB6ttfI0bK5FSmXqA8EOyMbvUqrftFXbvrzl56Y+ql9rp19ebbl408fNi2EBBQfCdzv1HCAfn5a8zYiqsUAKq6mTP05eeXVpMOa9ZM7dxp++c0K0sTH9HRI7beo0c0Y7qys/TX8dfuBcoJvygYWto5vf+uPL00+clrjNyzW1/MkqS27RTc+LKuc6m2f8juf0AeHhVSJwBUfcnJ+uoLSerVW98t1Nz5uqOTJG3ZpJQUSfrqCx09IldXvf6Wvl+u6D6SNH+esrOu3QuUE87YGdq0d5SerqeelZ9/acO2xumlF5SXJx8fPf1c8d7PPlVOjurW1YCBFVcpAFR1JumJJyWpR6R8a0tS72ht2SRJmRkKCFDsCkkaNESdukjSo4+pV5QaNlLNmrJYSusFyg/BzrjW/k8/r1H7DupfaiD7MVZvvaaCAgXU1VvvKKj+Zb2nU7R0iSQNj5FLjQqsFgCquMAgDb7Ltmwp1PHjWrJYkhoFq3GIkk/oXKokhd9hG+NbW50jbMsnjpfWC5Qfgp1xWQPZgf26525bS16eJM3+XPO+1fsfKjBIy36wPVHRqrWmvHbZAxNWq1fKbJbJpJ69Kq1wAKjSfl6j//eiJNX0VJ9++ut4OTsrOdnWW2jRC89o21Y5uyiiqx59TL61r9ELlB+CnXFZJEmZmcrMvKw9O0vZWTKbFbdZb78pSRHd9NI/Lz3VVdTKHyWpVRv5X/FEBQBUc3m5Sj6hk8ny81NOjq3x9X8pJ1c1XJSdpZWxOrBfM2Zdo9eF/4tRbnh4wrjefFtr1l32x91dksZP0Jp18g/Q22+psFCBQZr0hLKzlZpq+2P/Byg1VYcOSlK79g47CgCoarpHammsZsxS+3Dt2K7JE5WcLBdnW2+Tplq0REt/1IMPSdLhRP206hq9QPkh2FVXG9bpZLIknUzWfcM1bPClP3O/sY1JSrQtBPPuOgCQJFkK5eSkmp5q1lyT/y5JFy7op1WqffFWlr795eklk0kxI2QySdLBhGv0AuWHYFddFRRce0x6hm3B27tCawGAP4AlizV0sKLuVPIJW4urq20hK1ONQ2yrqam2xoILslgkydXtGr1A+eG6fnWyvMgJ/+g+trcoleLOnrpzXYVWBAB/GE2a2J5s/fcbmjRZrm6a+bGtq0VLubmpew+tXqV536pdezVqpBkXe8PCrtELlB+CHQAAZdD6NkVFa/VKbduqsaMvtYe2UPdISXr4EW3bpnOpevThS73t2iu847V7gXJCsAMAoGxeeFGtWmvFMh1JkrlQgYHq3kOjH5CzsyTVracPP9Z/P1HcZmVnq16gekVp1BjbvXSl9wLlhGAHAEDZmJw0dLiGDr/qgMAg/ePlG+wFygMPTwAAABgEwQ4AAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMwTrA7c+ZMTExM/fr1/fz8BgwYkJiY6OiKAAAAKpVxgt3999//7bffBgcHt2vXbtmyZYMHDy4sLHR0UQAAAJXHIMHu8OHDK1asCAkJWb9+/apVq7p3775z5861a9c6ui4AAIDKY5Bgt3XrVknh4eFOTk6SOnfuLGnLli0OLgsAAKASuTi6gPJx9uxZSb6+vtZV68KZM2fsA/bv3z9v3jz7al5eXjl8anaW3nu3HPaDcnQk6bo3+X0H81jlJCRc9yaLFmjDugooBTfBYrm+8QUX+MtY5SQnO7oCXB+DBLtiLBaLJJPJZG85fvz4ggUL7KuhoaHl8DG5uVo4vxz2A8c6dFCHDjq6CNy09b84ugLcNLOZf1SBm2SQYBcQECApLS3Nupqenm5vtAoPD589e7Z99Z133rnJT1y6dGn5nPZDBWjcuHFZht16662bN2+u4Fpw44r+FS7F+PHjBw8eXNHF4MZ4eXmVceScOXPOnz9focXghjVs2NDRJaCsDBLswsPDTSZTXFxcQUGBi4vL+vXrdfFOOytvb+9bb73Vvmq9Fe9mhIWF3eQe4HA1a9a84447HF0FblaDBg0aNGjg6Cpws1q3bu3oEgAjMEiwu+WWW4YMGbJo0aLIyEhPT88NGzZ06NAhIiLC0XUBAABUHoMEO0mzZs3y9PRcvXp1QUHB3Xff/f777xe9xw4AAMDwjBPsfH19v/zyS0dXAQAA4DAGeY8dAAAACHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBAEOwAAAIMg2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAwCBdHF+AwCxcu9PHxcXQVAAAY3O7du9u0aePoKqoLk8VicXQNDrB27dozZ844uoqqYseOHcePH+/Ro4enp6eja8GNW7lypbu7e/fu3R1dCG5camrqpk2bmjRp0qJFC0fXghu3e/fupKSkiIgITh/YderUqUGDBo6uolqopmfsevTo4egSqpAdO3bEx8f/4x//CA4OdnQtuHHvvfdeQEDA0KFDHV0IblxcXNz06dPbtm3LPP6hJSYmxsfHP/7445ymQuXjHjsAAACDINgBAAAYBMEOAADAIKrpwxMAAADGwxk7AAAAgyDYAQAAGATBDgAAwCAIdgZ35syZmJiY+vXr+/n5DRgwIDEx8Wojv/3228DAQJPJNG3aNHvjr7/+Gh0d7e/v7+Pj07FjxwULFlRK1ZBubkYOHjx411131a1bt3bt2nfeeecvv/xibffx8TFdbu/evZVxMNVVuUxEfn5+WFiYyWTq3bv3DWyO8nLDE3HhwoVnnnmmfv36Hh4eHTt2XLdu3XVtDlyXavqC4urj/vvvX7FiRefOnT09PZctWzZ48ODt27c7ORUP9IMHD16yZImfn1/RxrNnz/bp0yczM3PixIleXl7Tpk2755574uLi2rVrV4lHUE3dzIzk5OT06dPn4MGDPXr0qFmz5ooVK/r377979+4GDRpkZmZ6eXk9/vjj9sH+/v6VdEjVT3lNxL/+9a89e/bYVwsLC5lHh7jhiZg0adL06dObN28eHh6+dOnS/v37JyUl+fj4MI+oEBYYl/X8XEhIiNlstlgs1i+bWrNmzZUjQ0NDV69ePWHCBEnvvvuutXHNmjWS2rdvb10dMWKEpOnTp1dW+dXazczI6tWr69Wr179/f+tq3759Jc2ePfvs2bOSQkNDK+0oqrlymYj4+PgaNWqMGzdOUlRUlMViYR4d4oYn4tSpU87OzoGBgenp6RaLZcGCBV9//XVKSgrziArCpVgj27p1q6Tw8HDrKbrOnTtL2rJly5Ujd+zY0atXr2KNbdu29ff3P3DgwOrVq7ds2bJ582Y3N7fIyMiKLxw3NSO9evU6efLk0qVLJRUWFp4+fVqSr69vWlqapLy8vJ49e3p7e4eFhX377beVcjTV1M2ve+ZJAAAOiElEQVRPREFBwYMPPtihQ4eHH37Y3sg8Vr6bmYhffvnFbDb3799/z549U6dOzczMHDJkSEBAAPOICkKwMzLrb4S+vr7WVevCmTNnrhzp5uZ2ZaOvr+/y5cu9vLx69+7dsWPHlJSUuXPntmzZsiJLhk25zEhhYeEjjzyydevWiIiIfv36nTt3TlJSUlJmZmbHjh1///33mJiYDRs2VOBhQNJNTMTUqVN37949c+bMordPMI+V72Ym4tixY5K2bNnStWvXF1544YEHHggPD8/OzmYeUUEIdtWIxWKRZDKZ5s2b1/mi9evXX2382bNnhw0blpGR8e67786YMaNWrVqjR4+Oi4urxJJxmavNSIkTmpmZOXjw4E8++aRDhw4LFy50dnYODg7+7rvvli5dGhcXZ7/O+9lnnznykKqBsk9EsXn8/fffX3311RdffLFVq1ZFd8g8VrLrnYhi81hQUCApOTl5+/btJ0+e7NKly549ez799FPmERWEhyeMLCAgQBevF0hKT0+3Np48eXLTpk3WRutvjSX66quvjhw58vDDDz/xxBOSMjMz//a3v3300UczZ86s8NJRkqvNSLt27YpNaGpqaq9evbZv3z527NgPP/zQw8NDkr+///Dhw+17i4iI+OCDD06cOOGIQ6kurmsiiv3FfPXVV81m87lz55599tmUlBRJCQkJzz777EsvvcQ8VqZnnnnmuiai2Dxan4eIiIho3bq1pPvuu2/jxo179+7l7yMqCGfsjCw8PNxkMsXFxVl/ZbSey+ncufNjjz1mv8ty4MCBV9s8Pz9fUm5urnU1JyenUqrGVV1tRopNaGFh4ZAhQ7Zv3/7cc8/NmjXLGiYkzZ8/Pzw8fPLkydZV6/89LVq0qOzDqDaudyKKzWNqaqrZbH7nnXfeeOONWbNmSUpKSnrjjTdmz57NPFam652IYvNovbl5x44d1r+/CQkJkoKCgvj7iArCd8Ua3N13371o0aKIiAhPT8+VK1d26NBhy5YtJpOp6Jjz589PnTpVUmxsbFxcXHR0dMeOHUNCQrp27dquXbvCwsIJEyZ4e3u///77586dW758ufXhPlScm5yRzz//fOzYsU5OTkOGDLHfEtSvX79evXqFhYVlZWVFR0c7OzuvWLHCw8Nj165dISEhDjjIaqAcJ+K3335r165dVFTUqlWrEhMTmUdHubGJuOuuuxYvXty2bdsmTZosWrTI1dV1165dJpOJeUSFqIxHb+E4586dGzVqVGBgoL+//913333s2LErx1gf1ismMjLSYrGsXbu2Z8+efn5+rq6ut99++3fffVfZB1At3eSMTJky5crNJ0yYYLFYNm7c2KtXr9q1a3t4ePTs2TM+Pr6SD61aKceJiI+P18W3bNzA5igvNzYRmZmZ48eP9/f39/b27tat29q1a69rc+C6cMYOAADAILjHDgAAwCAIdgAAAAZBsAMAADAIgh0AAIBBEOwAAAAMgmAHAABgEAQ7AAAAgyDYAQY0aNAgk8nk5uaWkZFRrKtz584mkykoKMhsNvft29dkMoWHh5dxt19++eXrr79uX73ezQEAFY1gBxjQ6NGjJeXn5y9btqxoe3Jy8ubNmyWNGDHC2dm5Xr16wcHB9evXL8s+L1y4MHHixKLB7ro2BwBUAr55AjCgnJycwMDAjIyMmJiYOXPm2Ns//vjj8ePHS4qLi+vQocN17XPVqlXR0dE+Pj5paWnlXC4AoJxwxg4wIA8Pj6FDh0pavnx5fn6+vX3RokWSWrRoYU11V15L3blz57333hsQEFCzZs3bbrtt6tSpOTk5kjp37hwdHS0pPT3dZDJ169btys27d+9uMplGjx69Z8+e7t2716xZs3Xr1itXrpT03nvvNWzY0MPDY9CgQefOnbta2XPnzu3SpYunp2etWrU6dOgwe/bsor0ff/xxaGiou7t769at58yZM3XqVJPJ5O3tbR+wefPmIUOG+Pn5ubu7h4WF/fe//y3lR1T63uzHsmrVqsaNG7dt29bafvjw4YceeuiWW25xdXX18/Pr16/fTz/9ZN9ns2bNTCbTfffdZ28ZP368yWTy9/e3rnbr1s1kMg0aNOjnn3/u2rVrzZo1/f39J02alJubW0qpAHAdHP1ltQAqhDVRSVq+fLm1JSMjw83NTdIrr7xibenTp4+kDh06WFc3b97s6ekpydfXt0OHDs7OzpL69+9vNpsnTpzYqFEjSS4uLlFRUU888cSVm/fu3VtSnz59mjRpUqNGDeune3l5zZw5U5K95Z577imx4Pfee886IDIysmvXrtblzz77zNr76aef2nfYtm3bGjVqdOnSRVKdOnWsA1avXm39iPbt2w8bNszd3V3Sa6+9VuJnXXNvUVFR1mO3Xmhu2rSpxWLZuXNnnTp1JLm7u7dv3966bDKZPv/8c+tWTZs2lRQTE2P/oHHjxkny8/Ozrvbq1UtSo0aNfHx8Ro4c2aNHD2sZDz/88HVOLwCUjGAHGJPZbLaGknHjxllb5s6da40RCQkJ1pZiyaxjx46SGjdufPbsWYvFsmTJEuv4JUuWWCyWJ598UpKPj4/9I4ptbl11dnb+5z//WVBQ8OKLL9rD06+//pqVlWU9Teji4pKXl3dlwREREcHBwaNHj7auWjNQ69atrashISGSAgMDjx07ZikSW+2ZqVWrVpK6detmNpstFsvixYutCSw1NfXKz7rm3qzH4u7uHh0dvWnTph07dlgsFut5Sn9//wMHDlgslszMzE6dOkny9vbOyMiwlCHYWXcraeHChdaWu+66y/pDO336dFmmFQBKx6VYwJicnJxGjBgh6fvvv7dYLLp4HbZz587W/FHM8ePHrc9VjBw50nouauDAgT/88MOSJUuaN29e9s91d3d/5plnnJ2dH3roIWtLv379OnXq5OnpOXLkSEkFBQXJyclXbrh+/frDhw9//vnnKSkpJ0+ebNy4saSjR49KOnXqVGJiorW2Bg0aSOrdu7c1ZlkdOnRo9+7dkoYMGeLk5CRp0KBBXl5eubm5a9asKfZB19ybXUFBwRdffNGxY8fbbrvtxIkT69atkzRmzJhmzZpJ8vLymjx5sqTMzMzVq1eX/UdUr149a56z7k2S2Wzetm1b2fcAAFdDsAMMa9SoUZKSk5M3bdp04cKF5cuX2xuvlJCQYF2wJiqrAQMGDBw4sEWLFmX/0JCQEOsF38DAQGtLy5YtrQv2Fut9e8Vs3LgxMjLSzc2tXr16QUFB1qulZrNZ0vHjx61jmjRpYh/fpk0b+7I1/0l66qmnTCaTyWRycnLKysqSlJSUVOyDrrk3u0aNGtlrPnDggHUhNDTUPsAekQ8ePHjl5lcTHBxsX77lllusC8eOHSv7HgDgalwcXQCAitKuXbvWrVvv2rXr+++/z87OTktLc3Fxuffee0scbLn4gHxhYeHNfKg11UmynjmT5OrqWqzlSklJSX379s3IyLjjjjsef/xxPz+/6dOnWy+nFq3NZDJdWXBR0dHR1muydleebiz73mrXrn1lY9Gfj335aodW9MmVEveQl5d3ZTEAcMMIdoCRjRo16vnnn4+NjS0oKJAUHR1dt27dEkdabzuTdOjQIXvjtGnTcnNzO3ToYH0ktuIsXbrU+i7ladOmRURESJo+fbq9NygoyLpgP60o6ffff7cv288y9urV69lnny39s665txLZT9Tt3bvX3rhv376ivR4eHpKKPva7f//+K3eVkJCQn59vzbv2Gho2bFh6AQBQFlyKBYxs5MiRJpMpPj7eeoPd1a7DSgoODr799tslffXVVykpKZJWrVo1efLk55577syZM5JcXFwkZWZmlvK+khtmf2Y2Oztb0m+//WZ9tXJeXl5BQUFQUJD1xNs333xz4sQJSbGxsRs2bChavPVa6uzZszMzMyUdOHAgMjJy6NCh1nvvirrm3koUFBQUGRkp6csvv7Rm37S0tHfffVdS3bp1rU/RWvPl+vXrrTcRrl27tsTdpqWlvf/++5Jyc3M/+ugjSd7e3p07d76unxgAlIhgBxhZcHBwt27dLBbLgQMHPD097ffsl+g///mPu7v78ePHQ0NDw8PD+/XrJyk6OjomJkYXT0oVFhaGhYUNHjy4fOvs2bOn9QzWmDFjBg4c2K1bt0mTJkkqKCjo3bt3XFyc9ZnckydPhoaGhoWFDRo0qNgLlqdNm+bi4rJ79+6mTZt26dLl9ttvX7t2bWZmpv0OPzuTyXTNvZXoww8/rFOnTmpqaps2bcLDwxs3bhwfH+/q6vrpp59a364yduxYSdnZ2W3bto2Kiho4cOCgQYOu3E+LFi1effXVsLCwkJCQTZs2SXrkkUeKvpAPAG4YwQ4wOOvXi0kaMmSI9TV1V9OtW7cNGzYMGTLE2dl5x44dwcHBU6dOXbJkifUGslGjRt17772enp6pqanlXmSzZs3mzp3bqlWrtLS0/fv3T5s27d///vf48eM9PDz27Nlz4cKFcePGvf766w0bNiwoKHBycvrmm2+srxqx39wWFRX1888/9+nTJz8/Py4uLigoaMqUKd9//32Jd79dc28latWqVVxc3NixY2vXrr1jxw5XV9fhw4dv3LhxwIAB1gHDhg37z3/+06BBg/T09PT09Pnz51sfti32/mFfX9/Y2NhatWqlpaUFBQU9//zzr776ann8FAGArxQD8Mc0bNiwBQsWhIaG2m90qzp7u5q+ffvGxsZ26NAhLi6u4j4FQHXGGTsAfwAvvvhiWFhY+/btrWe/Tp06tWrVKkklvn+ukvcGAFUHwQ7AH8Add9yxa9eu+Pj4li1bDhgwoE2bNhkZGXXq1Hn++ecdvjcAqDoIdgD+AAYPHrxixYro6OicnJyVK1e6ubmNGTNmy5YtJX6LRiXvDQCqDu6xAwAAMAjO2AEAABgEwQ4AAMAgCHYAAAAGQbADAAAwCIIdAACAQRDsAAAADIJgBwAAYBD/HyRClPHZiVuOAAAAAElFTkSuQmCC",
            "text/plain": [
              "plot without title"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "age_gender_df %>%\n",
        "  ggplot(aes(x = VIC_AGE_GROUP, y = Freq, fill = VIC_SEX)) +\n",
        "  geom_bar(stat = \"identity\", color=\"black\") +\n",
        "  geom_text(aes(label=Freq),vjust=-0.25,fontface='bold')+\n",
        "  scale_y_continuous(labels = scales::comma_format(accuracy = 2)) +\n",
        "  theme_bw()+\n",
        "  theme(axis.text = element_text(color='black',face='bold'),\n",
        "        axis.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        legend.text = element_text(color='black',face='bold'),\n",
        "        legend.title = element_text(color='black',face='bold', hjust = 0.5),\n",
        "        plot.title=element_text(color='black', face='bold', hjust = 0.5),\n",
        "        panel.grid.major = element_blank(),\n",
        "        panel.grid.minor = element_blank()\n",
        "        ) +\n",
        "  labs(y=\"Number of victims\", x=\"Victim age group\") +\n",
        "  ggtitle(\"Gender wise representation of each age group\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4sKQlAQ8uFhh"
      },
      "source": [
        "### Bonus plots\n",
        "\n",
        "- Histogram of the 'PRECINCT' column"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 437
        },
        "id": "DN6e6DUzuIgz",
        "outputId": "bc77eca8-0c1d-4b57-ea46-0cf1f45a7f3c",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "Plot with title “Histogram representing the PRECINCT column”"
            ]
          },
          "metadata": {
            "image/png": {
              "height": 420,
              "width": 420
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "histogram <- hist(\n",
        "  data$PRECINCT, xlab = \"Numeric values of PRECINCT\", col = \"#86bf91\",\n",
        "  main=\"Histogram representing the PRECINCT column\", border = \"black\",\n",
        "  xlim = c(0, 140)\n",
        ")\n",
        "text(\n",
        "  histogram$mids, histogram$counts,\n",
        "  labels = histogram$counts, adj = c(0.5, -0.5)\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "03P6b6Kk4p10"
      },
      "source": [
        "### Sankey Diagram\n",
        "\n",
        "- Relationship between the **LOC_CLASSFCTN_DESC** and **LOCATION_DESC** columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "KkTAboNiHmmy",
        "outputId": "6f5a22a0-6a7b-439a-e864-20dbc925b8c0",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 6 × 3</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>Source</th><th scope=col>Target</th><th scope=col>Value</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>COMMERCIAL </td><td>BEAUTY/NAIL SALON</td><td> 6</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>STREET     </td><td>BEAUTY/NAIL SALON</td><td> 8</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>COMMERCIAL </td><td>CLUB             </td><td>40</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>STREET     </td><td>CLUB             </td><td>45</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>COMMERCIAL </td><td>COMMERCIAL BLDG  </td><td> 6</td></tr>\n",
              "\t<tr><th scope=row>6</th><td>PARKING LOT</td><td>COMMERCIAL BLDG  </td><td> 7</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 6 × 3\n",
              "\\begin{tabular}{r|lll}\n",
              "  & Source & Target & Value\\\\\n",
              "  & <fct> & <fct> & <int>\\\\\n",
              "\\hline\n",
              "\t1 & COMMERCIAL  & BEAUTY/NAIL SALON &  6\\\\\n",
              "\t2 & STREET      & BEAUTY/NAIL SALON &  8\\\\\n",
              "\t3 & COMMERCIAL  & CLUB              & 40\\\\\n",
              "\t4 & STREET      & CLUB              & 45\\\\\n",
              "\t5 & COMMERCIAL  & COMMERCIAL BLDG   &  6\\\\\n",
              "\t6 & PARKING LOT & COMMERCIAL BLDG   &  7\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 6 × 3\n",
              "\n",
              "| <!--/--> | Source &lt;fct&gt; | Target &lt;fct&gt; | Value &lt;int&gt; |\n",
              "|---|---|---|---|\n",
              "| 1 | COMMERCIAL  | BEAUTY/NAIL SALON |  6 |\n",
              "| 2 | STREET      | BEAUTY/NAIL SALON |  8 |\n",
              "| 3 | COMMERCIAL  | CLUB              | 40 |\n",
              "| 4 | STREET      | CLUB              | 45 |\n",
              "| 5 | COMMERCIAL  | COMMERCIAL BLDG   |  6 |\n",
              "| 6 | PARKING LOT | COMMERCIAL BLDG   |  7 |\n",
              "\n"
            ],
            "text/plain": [
              "  Source      Target            Value\n",
              "1 COMMERCIAL  BEAUTY/NAIL SALON  6   \n",
              "2 STREET      BEAUTY/NAIL SALON  8   \n",
              "3 COMMERCIAL  CLUB              40   \n",
              "4 STREET      CLUB              45   \n",
              "5 COMMERCIAL  COMMERCIAL BLDG    6   \n",
              "6 PARKING LOT COMMERCIAL BLDG    7   "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "locations <- subset(data, select=c(LOC_CLASSFCTN_DESC, LOCATION_DESC))\n",
        "sankey_df <- as.data.frame(table(locations))\n",
        "sankey_df <- filter(sankey_df, Freq!=0, LOC_CLASSFCTN_DESC!='OTHER')\n",
        "\n",
        "colnames(sankey_df)[colnames(sankey_df)=='LOC_CLASSFCTN_DESC'] <- 'Source'\n",
        "colnames(sankey_df)[colnames(sankey_df)=='LOCATION_DESC'] <- 'Target'\n",
        "colnames(sankey_df)[colnames(sankey_df)=='Freq'] <- 'Value'\n",
        "\n",
        "head(sankey_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "1jcLeT87Ihm_",
        "outputId": "d93da85e-aa71-451c-c81e-dc38bbc28e88",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"dataframe\">\n",
              "<caption>A data.frame: 6 × 5</caption>\n",
              "<thead>\n",
              "\t<tr><th></th><th scope=col>Source</th><th scope=col>Target</th><th scope=col>Value</th><th scope=col>IDsource</th><th scope=col>IDtarget</th></tr>\n",
              "\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
              "</thead>\n",
              "<tbody>\n",
              "\t<tr><th scope=row>1</th><td>COMMERCIAL </td><td>BEAUTY/NAIL SALON</td><td> 6</td><td>0</td><td>5</td></tr>\n",
              "\t<tr><th scope=row>2</th><td>STREET     </td><td>BEAUTY/NAIL SALON</td><td> 8</td><td>1</td><td>5</td></tr>\n",
              "\t<tr><th scope=row>3</th><td>COMMERCIAL </td><td>CLUB             </td><td>40</td><td>0</td><td>6</td></tr>\n",
              "\t<tr><th scope=row>4</th><td>STREET     </td><td>CLUB             </td><td>45</td><td>1</td><td>6</td></tr>\n",
              "\t<tr><th scope=row>5</th><td>COMMERCIAL </td><td>COMMERCIAL BLDG  </td><td> 6</td><td>0</td><td>7</td></tr>\n",
              "\t<tr><th scope=row>6</th><td>PARKING LOT</td><td>COMMERCIAL BLDG  </td><td> 7</td><td>2</td><td>7</td></tr>\n",
              "</tbody>\n",
              "</table>\n"
            ],
            "text/latex": [
              "A data.frame: 6 × 5\n",
              "\\begin{tabular}{r|lllll}\n",
              "  & Source & Target & Value & IDsource & IDtarget\\\\\n",
              "  & <fct> & <fct> & <int> & <dbl> & <dbl>\\\\\n",
              "\\hline\n",
              "\t1 & COMMERCIAL  & BEAUTY/NAIL SALON &  6 & 0 & 5\\\\\n",
              "\t2 & STREET      & BEAUTY/NAIL SALON &  8 & 1 & 5\\\\\n",
              "\t3 & COMMERCIAL  & CLUB              & 40 & 0 & 6\\\\\n",
              "\t4 & STREET      & CLUB              & 45 & 1 & 6\\\\\n",
              "\t5 & COMMERCIAL  & COMMERCIAL BLDG   &  6 & 0 & 7\\\\\n",
              "\t6 & PARKING LOT & COMMERCIAL BLDG   &  7 & 2 & 7\\\\\n",
              "\\end{tabular}\n"
            ],
            "text/markdown": [
              "\n",
              "A data.frame: 6 × 5\n",
              "\n",
              "| <!--/--> | Source &lt;fct&gt; | Target &lt;fct&gt; | Value &lt;int&gt; | IDsource &lt;dbl&gt; | IDtarget &lt;dbl&gt; |\n",
              "|---|---|---|---|---|---|\n",
              "| 1 | COMMERCIAL  | BEAUTY/NAIL SALON |  6 | 0 | 5 |\n",
              "| 2 | STREET      | BEAUTY/NAIL SALON |  8 | 1 | 5 |\n",
              "| 3 | COMMERCIAL  | CLUB              | 40 | 0 | 6 |\n",
              "| 4 | STREET      | CLUB              | 45 | 1 | 6 |\n",
              "| 5 | COMMERCIAL  | COMMERCIAL BLDG   |  6 | 0 | 7 |\n",
              "| 6 | PARKING LOT | COMMERCIAL BLDG   |  7 | 2 | 7 |\n",
              "\n"
            ],
            "text/plain": [
              "  Source      Target            Value IDsource IDtarget\n",
              "1 COMMERCIAL  BEAUTY/NAIL SALON  6    0        5       \n",
              "2 STREET      BEAUTY/NAIL SALON  8    1        5       \n",
              "3 COMMERCIAL  CLUB              40    0        6       \n",
              "4 STREET      CLUB              45    1        6       \n",
              "5 COMMERCIAL  COMMERCIAL BLDG    6    0        7       \n",
              "6 PARKING LOT COMMERCIAL BLDG    7    2        7       "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# create a node data frame from flows\n",
        "nodes <- data.frame(\n",
        "  name=c(as.character(sankey_df$Source),\n",
        "  as.character(sankey_df$Target)) %>% unique()\n",
        ")\n",
        "\n",
        "# With networkD3, connection must be provided using id\n",
        "sankey_df$IDsource <- match(sankey_df$Source, nodes$name)-1\n",
        "sankey_df$IDtarget <- match(sankey_df$Target, nodes$name)-1\n",
        "\n",
        "head(sankey_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "8_fsFEd5M4nU",
        "outputId": "07b09212-4d05-446f-8f65-b840e9b80da0",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<!doctype html>\n",
              "<html>\n",
              "\t<head>\n",
              "\t\t<meta charset=\"utf-8\">\n",
              "\t\t<script title=\"htmlwidgets\" src=\"data:application/javascript;base64,(function() {
  // If window.HTMLWidgets is already defined, then use it; otherwise create a
  // new object. This allows preceding code to set options that affect the
  // initialization process (though none currently exist).
  window.HTMLWidgets = window.HTMLWidgets || {};

  // See if we're running in a viewer pane. If not, we're in a web browser.
  var viewerMode = window.HTMLWidgets.viewerMode =
      /\bviewer_pane=1\b/.test(window.location);

  // See if we're running in Shiny mode. If not, it's a static document.
  // Note that static widgets can appear in both Shiny and static modes, but
  // obviously, Shiny widgets can only appear in Shiny apps/documents.
  var shinyMode = window.HTMLWidgets.shinyMode =
      typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;

  // We can't count on jQuery being available, so we implement our own
  // version if necessary.
  function querySelectorAll(scope, selector) {
    if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
      return scope.find(selector);
    }
    if (scope.querySelectorAll) {
      return scope.querySelectorAll(selector);
    }
  }

  function asArray(value) {
    if (value === null)
      return [];
    if ($.isArray(value))
      return value;
    return [value];
  }

  // Implement jQuery's extend
  function extend(target /*, ... */) {
    if (arguments.length == 1) {
      return target;
    }
    for (var i = 1; i < arguments.length; i++) {
      var source = arguments[i];
      for (var prop in source) {
        if (source.hasOwnProperty(prop)) {
          target[prop] = source[prop];
        }
      }
    }
    return target;
  }

  // IE8 doesn't support Array.forEach.
  function forEach(values, callback, thisArg) {
    if (values.forEach) {
      values.forEach(callback, thisArg);
    } else {
      for (var i = 0; i < values.length; i++) {
        callback.call(thisArg, values[i], i, values);
      }
    }
  }

  // Replaces the specified method with the return value of funcSource.
  //
  // Note that funcSource should not BE the new method, it should be a function
  // that RETURNS the new method. funcSource receives a single argument that is
  // the overridden method, it can be called from the new method. The overridden
  // method can be called like a regular function, it has the target permanently
  // bound to it so "this" will work correctly.
  function overrideMethod(target, methodName, funcSource) {
    var superFunc = target[methodName] || function() {};
    var superFuncBound = function() {
      return superFunc.apply(target, arguments);
    };
    target[methodName] = funcSource(superFuncBound);
  }

  // Add a method to delegator that, when invoked, calls
  // delegatee.methodName. If there is no such method on
  // the delegatee, but there was one on delegator before
  // delegateMethod was called, then the original version
  // is invoked instead.
  // For example:
  //
  // var a = {
  //   method1: function() { console.log('a1'); }
  //   method2: function() { console.log('a2'); }
  // };
  // var b = {
  //   method1: function() { console.log('b1'); }
  // };
  // delegateMethod(a, b, "method1");
  // delegateMethod(a, b, "method2");
  // a.method1();
  // a.method2();
  //
  // The output would be "b1", "a2".
  function delegateMethod(delegator, delegatee, methodName) {
    var inherited = delegator[methodName];
    delegator[methodName] = function() {
      var target = delegatee;
      var method = delegatee[methodName];

      // The method doesn't exist on the delegatee. Instead,
      // call the method on the delegator, if it exists.
      if (!method) {
        target = delegator;
        method = inherited;
      }

      if (method) {
        return method.apply(target, arguments);
      }
    };
  }

  // Implement a vague facsimilie of jQuery's data method
  function elementData(el, name, value) {
    if (arguments.length == 2) {
      return el["htmlwidget_data_" + name];
    } else if (arguments.length == 3) {
      el["htmlwidget_data_" + name] = value;
      return el;
    } else {
      throw new Error("Wrong number of arguments for elementData: " +
        arguments.length);
    }
  }

  // http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
  function escapeRegExp(str) {
    return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&");
  }

  function hasClass(el, className) {
    var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
    return re.test(el.className);
  }

  // elements - array (or array-like object) of HTML elements
  // className - class name to test for
  // include - if true, only return elements with given className;
  //   if false, only return elements *without* given className
  function filterByClass(elements, className, include) {
    var results = [];
    for (var i = 0; i < elements.length; i++) {
      if (hasClass(elements[i], className) == include)
        results.push(elements[i]);
    }
    return results;
  }

  function on(obj, eventName, func) {
    if (obj.addEventListener) {
      obj.addEventListener(eventName, func, false);
    } else if (obj.attachEvent) {
      obj.attachEvent(eventName, func);
    }
  }

  function off(obj, eventName, func) {
    if (obj.removeEventListener)
      obj.removeEventListener(eventName, func, false);
    else if (obj.detachEvent) {
      obj.detachEvent(eventName, func);
    }
  }

  // Translate array of values to top/right/bottom/left, as usual with
  // the "padding" CSS property
  // https://developer.mozilla.org/en-US/docs/Web/CSS/padding
  function unpackPadding(value) {
    if (typeof(value) === "number")
      value = [value];
    if (value.length === 1) {
      return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
    }
    if (value.length === 2) {
      return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
    }
    if (value.length === 3) {
      return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
    }
    if (value.length === 4) {
      return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
    }
  }

  // Convert an unpacked padding object to a CSS value
  function paddingToCss(paddingObj) {
    return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
  }

  // Makes a number suitable for CSS
  function px(x) {
    if (typeof(x) === "number")
      return x + "px";
    else
      return x;
  }

  // Retrieves runtime widget sizing information for an element.
  // The return value is either null, or an object with fill, padding,
  // defaultWidth, defaultHeight fields.
  function sizingPolicy(el) {
    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
    if (!sizingEl)
      return null;
    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
    if (viewerMode) {
      return sp.viewer;
    } else {
      return sp.browser;
    }
  }

  // @param tasks Array of strings (or falsy value, in which case no-op).
  //   Each element must be a valid JavaScript expression that yields a
  //   function. Or, can be an array of objects with "code" and "data"
  //   properties; in this case, the "code" property should be a string
  //   of JS that's an expr that yields a function, and "data" should be
  //   an object that will be added as an additional argument when that
  //   function is called.
  // @param target The object that will be "this" for each function
  //   execution.
  // @param args Array of arguments to be passed to the functions. (The
  //   same arguments will be passed to all functions.)
  function evalAndRun(tasks, target, args) {
    if (tasks) {
      forEach(tasks, function(task) {
        var theseArgs = args;
        if (typeof(task) === "object") {
          theseArgs = theseArgs.concat([task.data]);
          task = task.code;
        }
        var taskFunc = tryEval(task);
        if (typeof(taskFunc) !== "function") {
          throw new Error("Task must be a function! Source:\n" + task);
        }
        taskFunc.apply(target, theseArgs);
      });
    }
  }

  // Attempt eval() both with and without enclosing in parentheses.
  // Note that enclosing coerces a function declaration into
  // an expression that eval() can parse
  // (otherwise, a SyntaxError is thrown)
  function tryEval(code) {
    var result = null;
    try {
      result = eval("(" + code + ")");
    } catch(error) {
      if (!(error instanceof SyntaxError)) {
        throw error;
      }
      try {
        result = eval(code);
      } catch(e) {
        if (e instanceof SyntaxError) {
          throw error;
        } else {
          throw e;
        }
      }
    }
    return result;
  }

  function initSizing(el) {
    var sizing = sizingPolicy(el);
    if (!sizing)
      return;

    var cel = document.getElementById("htmlwidget_container");
    if (!cel)
      return;

    if (typeof(sizing.padding) !== "undefined") {
      document.body.style.margin = "0";
      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
    }

    if (sizing.fill) {
      document.body.style.overflow = "hidden";
      document.body.style.width = "100%";
      document.body.style.height = "100%";
      document.documentElement.style.width = "100%";
      document.documentElement.style.height = "100%";
      cel.style.position = "absolute";
      var pad = unpackPadding(sizing.padding);
      cel.style.top = pad.top + "px";
      cel.style.right = pad.right + "px";
      cel.style.bottom = pad.bottom + "px";
      cel.style.left = pad.left + "px";
      el.style.width = "100%";
      el.style.height = "100%";

      return {
        getWidth: function() { return cel.getBoundingClientRect().width; },
        getHeight: function() { return cel.getBoundingClientRect().height; }
      };

    } else {
      el.style.width = px(sizing.width);
      el.style.height = px(sizing.height);

      return {
        getWidth: function() { return cel.getBoundingClientRect().width; },
        getHeight: function() { return cel.getBoundingClientRect().height; }
      };
    }
  }

  // Default implementations for methods
  var defaults = {
    find: function(scope) {
      return querySelectorAll(scope, "." + this.name);
    },
    renderError: function(el, err) {
      var $el = $(el);

      this.clearError(el);

      // Add all these error classes, as Shiny does
      var errClass = "shiny-output-error";
      if (err.type !== null) {
        // use the classes of the error condition as CSS class names
        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
          return errClass + "-" + type;
        }).join(" ");
      }
      errClass = errClass + " htmlwidgets-error";

      // Is el inline or block? If inline or inline-block, just display:none it
      // and add an inline error.
      var display = $el.css("display");
      $el.data("restore-display-mode", display);

      if (display === "inline" || display === "inline-block") {
        $el.hide();
        if (err.message !== "") {
          var errorSpan = $("<span>").addClass(errClass);
          errorSpan.text(err.message);
          $el.after(errorSpan);
        }
      } else if (display === "block") {
        // If block, add an error just after the el, set visibility:none on the
        // el, and position the error to be on top of the el.
        // Mark it with a unique ID and CSS class so we can remove it later.
        $el.css("visibility", "hidden");
        if (err.message !== "") {
          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
            .css("top", el.offsetTop)
            .css("left", el.offsetLeft)
            // setting width can push out the page size, forcing otherwise
            // unnecessary scrollbars to appear and making it impossible for
            // the element to shrink; so use max-width instead
            .css("maxWidth", el.offsetWidth)
            .css("height", el.offsetHeight);
          errorDiv.text(err.message);
          $el.after(errorDiv);

          // Really dumb way to keep the size/position of the error in sync with
          // the parent element as the window is resized or whatever.
          var intId = setInterval(function() {
            if (!errorDiv[0].parentElement) {
              clearInterval(intId);
              return;
            }
            errorDiv
              .css("top", el.offsetTop)
              .css("left", el.offsetLeft)
              .css("maxWidth", el.offsetWidth)
              .css("height", el.offsetHeight);
          }, 500);
        }
      }
    },
    clearError: function(el) {
      var $el = $(el);
      var display = $el.data("restore-display-mode");
      $el.data("restore-display-mode", null);

      if (display === "inline" || display === "inline-block") {
        if (display)
          $el.css("display", display);
        $(el.nextSibling).filter(".htmlwidgets-error").remove();
      } else if (display === "block"){
        $el.css("visibility", "inherit");
        $(el.nextSibling).filter(".htmlwidgets-error").remove();
      }
    },
    sizing: {}
  };

  // Called by widget bindings to register a new type of widget. The definition
  // object can contain the following properties:
  // - name (required) - A string indicating the binding name, which will be
  //   used by default as the CSS classname to look for.
  // - initialize (optional) - A function(el) that will be called once per
  //   widget element; if a value is returned, it will be passed as the third
  //   value to renderValue.
  // - renderValue (required) - A function(el, data, initValue) that will be
  //   called with data. Static contexts will cause this to be called once per
  //   element; Shiny apps will cause this to be called multiple times per
  //   element, as the data changes.
  window.HTMLWidgets.widget = function(definition) {
    if (!definition.name) {
      throw new Error("Widget must have a name");
    }
    if (!definition.type) {
      throw new Error("Widget must have a type");
    }
    // Currently we only support output widgets
    if (definition.type !== "output") {
      throw new Error("Unrecognized widget type '" + definition.type + "'");
    }
    // TODO: Verify that .name is a valid CSS classname

    // Support new-style instance-bound definitions. Old-style class-bound
    // definitions have one widget "object" per widget per type/class of
    // widget; the renderValue and resize methods on such widget objects
    // take el and instance arguments, because the widget object can't
    // store them. New-style instance-bound definitions have one widget
    // object per widget instance; the definition that's passed in doesn't
    // provide renderValue or resize methods at all, just the single method
    //   factory(el, width, height)
    // which returns an object that has renderValue(x) and resize(w, h).
    // This enables a far more natural programming style for the widget
    // author, who can store per-instance state using either OO-style
    // instance fields or functional-style closure variables (I guess this
    // is in contrast to what can only be called C-style pseudo-OO which is
    // what we required before).
    if (definition.factory) {
      definition = createLegacyDefinitionAdapter(definition);
    }

    if (!definition.renderValue) {
      throw new Error("Widget must have a renderValue function");
    }

    // For static rendering (non-Shiny), use a simple widget registration
    // scheme. We also use this scheme for Shiny apps/documents that also
    // contain static widgets.
    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
    // Merge defaults into the definition; don't mutate the original definition.
    var staticBinding = extend({}, defaults, definition);
    overrideMethod(staticBinding, "find", function(superfunc) {
      return function(scope) {
        var results = superfunc(scope);
        // Filter out Shiny outputs, we only want the static kind
        return filterByClass(results, "html-widget-output", false);
      };
    });
    window.HTMLWidgets.widgets.push(staticBinding);

    if (shinyMode) {
      // Shiny is running. Register the definition with an output binding.
      // The definition itself will not be the output binding, instead
      // we will make an output binding object that delegates to the
      // definition. This is because we foolishly used the same method
      // name (renderValue) for htmlwidgets definition and Shiny bindings
      // but they actually have quite different semantics (the Shiny
      // bindings receive data that includes lots of metadata that it
      // strips off before calling htmlwidgets renderValue). We can't
      // just ignore the difference because in some widgets it's helpful
      // to call this.renderValue() from inside of resize(), and if
      // we're not delegating, then that call will go to the Shiny
      // version instead of the htmlwidgets version.

      // Merge defaults with definition, without mutating either.
      var bindingDef = extend({}, defaults, definition);

      // This object will be our actual Shiny binding.
      var shinyBinding = new Shiny.OutputBinding();

      // With a few exceptions, we'll want to simply use the bindingDef's
      // version of methods if they are available, otherwise fall back to
      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
      // methods in the future, and we want them to be overrideable by
      // HTMLWidget binding definitions, then we'll need to add them to this
      // list.
      delegateMethod(shinyBinding, bindingDef, "getId");
      delegateMethod(shinyBinding, bindingDef, "onValueChange");
      delegateMethod(shinyBinding, bindingDef, "onValueError");
      delegateMethod(shinyBinding, bindingDef, "renderError");
      delegateMethod(shinyBinding, bindingDef, "clearError");
      delegateMethod(shinyBinding, bindingDef, "showProgress");

      // The find, renderValue, and resize are handled differently, because we
      // want to actually decorate the behavior of the bindingDef methods.

      shinyBinding.find = function(scope) {
        var results = bindingDef.find(scope);

        // Only return elements that are Shiny outputs, not static ones
        var dynamicResults = results.filter(".html-widget-output");

        // It's possible that whatever caused Shiny to think there might be
        // new dynamic outputs, also caused there to be new static outputs.
        // Since there might be lots of different htmlwidgets bindings, we
        // schedule execution for later--no need to staticRender multiple
        // times.
        if (results.length !== dynamicResults.length)
          scheduleStaticRender();

        return dynamicResults;
      };

      // Wrap renderValue to handle initialization, which unfortunately isn't
      // supported natively by Shiny at the time of this writing.

      shinyBinding.renderValue = function(el, data) {
        Shiny.renderDependencies(data.deps);
        // Resolve strings marked as javascript literals to objects
        if (!(data.evals instanceof Array)) data.evals = [data.evals];
        for (var i = 0; data.evals && i < data.evals.length; i++) {
          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
        }
        if (!bindingDef.renderOnNullValue) {
          if (data.x === null) {
            el.style.visibility = "hidden";
            return;
          } else {
            el.style.visibility = "inherit";
          }
        }
        if (!elementData(el, "initialized")) {
          initSizing(el);

          elementData(el, "initialized", true);
          if (bindingDef.initialize) {
            var rect = el.getBoundingClientRect();
            var result = bindingDef.initialize(el, rect.width, rect.height);
            elementData(el, "init_result", result);
          }
        }
        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
      };

      // Only override resize if bindingDef implements it
      if (bindingDef.resize) {
        shinyBinding.resize = function(el, width, height) {
          // Shiny can call resize before initialize/renderValue have been
          // called, which doesn't make sense for widgets.
          if (elementData(el, "initialized")) {
            bindingDef.resize(el, width, height, elementData(el, "init_result"));
          }
        };
      }

      Shiny.outputBindings.register(shinyBinding, bindingDef.name);
    }
  };

  var scheduleStaticRenderTimerId = null;
  function scheduleStaticRender() {
    if (!scheduleStaticRenderTimerId) {
      scheduleStaticRenderTimerId = setTimeout(function() {
        scheduleStaticRenderTimerId = null;
        window.HTMLWidgets.staticRender();
      }, 1);
    }
  }

  // Render static widgets after the document finishes loading
  // Statically render all elements that are of this widget's class
  window.HTMLWidgets.staticRender = function() {
    var bindings = window.HTMLWidgets.widgets || [];
    forEach(bindings, function(binding) {
      var matches = binding.find(document.documentElement);
      forEach(matches, function(el) {
        var sizeObj = initSizing(el, binding);

        var getSize = function(el) {
          if (sizeObj) {
            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
          } else {
            var rect = el.getBoundingClientRect();
            return {w: rect.width, h: rect.height}
          }
        };

        if (hasClass(el, "html-widget-static-bound"))
          return;
        el.className = el.className + " html-widget-static-bound";

        var initResult;
        if (binding.initialize) {
          var size = getSize(el);
          initResult = binding.initialize(el, size.w, size.h);
          elementData(el, "init_result", initResult);
        }

        if (binding.resize) {
          var lastSize = getSize(el);
          var resizeHandler = function(e) {
            var size = getSize(el);
            if (size.w === 0 && size.h === 0)
              return;
            if (size.w === lastSize.w && size.h === lastSize.h)
              return;
            lastSize = size;
            binding.resize(el, size.w, size.h, initResult);
          };

          on(window, "resize", resizeHandler);

          // This is needed for cases where we're running in a Shiny
          // app, but the widget itself is not a Shiny output, but
          // rather a simple static widget. One example of this is
          // an rmarkdown document that has runtime:shiny and widget
          // that isn't in a render function. Shiny only knows to
          // call resize handlers for Shiny outputs, not for static
          // widgets, so we do it ourselves.
          if (window.jQuery) {
            window.jQuery(document).on(
              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
              resizeHandler
            );
            window.jQuery(document).on(
              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
              resizeHandler
            );
          }

          // This is needed for the specific case of ioslides, which
          // flips slides between display:none and display:block.
          // Ideally we would not have to have ioslide-specific code
          // here, but rather have ioslides raise a generic event,
          // but the rmarkdown package just went to CRAN so the
          // window to getting that fixed may be long.
          if (window.addEventListener) {
            // It's OK to limit this to window.addEventListener
            // browsers because ioslides itself only supports
            // such browsers.
            on(document, "slideenter", resizeHandler);
            on(document, "slideleave", resizeHandler);
          }
        }

        var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
        if (scriptData) {
          var data = JSON.parse(scriptData.textContent || scriptData.text);
          // Resolve strings marked as javascript literals to objects
          if (!(data.evals instanceof Array)) data.evals = [data.evals];
          for (var k = 0; data.evals && k < data.evals.length; k++) {
            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
          }
          binding.renderValue(el, data.x, initResult);
          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
        }
      });
    });

    invokePostRenderHandlers();
  }


  function has_jQuery3() {
    if (!window.jQuery) {
      return false;
    }
    var $version = window.jQuery.fn.jquery;
    var $major_version = parseInt($version.split(".")[0]);
    return $major_version >= 3;
  }

  /*
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fc(t)};lc.prototype={areaStart:jb,areaEnd:jb,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._y0=this._y1=this._y2=this._y3=this._y4=NaN,this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x2,this._y2),this._context.closePath();break;case 2:this._context.moveTo((this._x2+2*this._x3)/3,(this._y2+2*this._y3)/3),this._context.lineTo((this._x3+2*this._x2)/3,(this._y3+2*this._y2)/3),this._context.closePath();break;case 3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._x2=t,this._y2=n;break;case 1:this._point=2,this._x3=t,this._y3=n;break;case 2:this._point=3,this._x4=t,this._y4=n,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+n)/6);break;default:sc(this,t,n)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n}};var Xb=function(t){return new 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2:this._point=3,this._x5=t,this._y5=n;break;default:dc(this,t,n)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Zb=function t(n){function e(t){return new _c(t,n)}return e.tension=function(n){return t(+n)},e}(0);yc.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:dc(this,t,n)}this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Gb=function t(n){function e(t){return new yc(t,n)}return 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2:this._point=3;default:gc(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Jb=function t(n){function e(t){return n?new mc(t,n):new vc(t,0)}return e.alpha=function(n){return t(+n)},e}(.5);xc.prototype={areaStart:jb,areaEnd:jb,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,n){if(t=+t,n=+n,this._point){var e=this._x2-t,r=this._y2-n;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(e*e+r*r,this._alpha))}switch(this._point){case 0:this._point=1,this._x3=t,this._y3=n;break;case 1:this._point=2,this._context.moveTo(this._x4=t,this._y4=n);break;case 2:this._point=3,this._x5=t,this._y5=n;break;default:gc(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Qb=function t(n){function e(t){return n?new xc(t,n):new _c(t,0)}return e.alpha=function(n){return t(+n)},e}(.5);bc.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._x2=this._y0=this._y1=this._y2=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0;
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        d3.select(el).select("svg")
            .attr("width", width)
            .attr("height", height + height * 0.05);

        this.renderValue(el, instance.x, instance);
        */
        
        // with flexdashboard and slides
        //   sankey might be hidden so height and width 0
        //   in this instance re-render on resize
        if( d3.min(instance.sankey.size()) <= 0 ) {
          this.renderValue(el, instance.x, instance);
        }
    },

    renderValue: function(el, x, instance) {

        // save the x in our instance (for calling back from resize)
        instance.x = x;

        // alias sankey and options
        var sankey = instance.sankey;
        var options = x.options;

        // convert links and nodes data frames to d3 friendly format
        var links = HTMLWidgets.dataframeToD3(x.links);
        var nodes = HTMLWidgets.dataframeToD3(x.nodes);


        // margin handling
        //   set our default margin to be 20
        //   will override with x.options.margin if provided
        var margin = {top: 20, right: 20, bottom: 20, left: 20};
        //   go through each key of x.options.margin
        //   use this value if provided from the R side
        Object.keys(x.options.margin).map(function(ky){
          if(x.options.margin[ky] !== null) {
            margin[ky] = x.options.margin[ky];
          }
          // set the margin on the svg with css style
          // commenting this out since not correct
          // s.style(["margin",ky].join("-"), margin[ky]);
        });

        // get the width and height
        var width = el.getBoundingClientRect().width - margin.right - margin.left;
        var height = el.getBoundingClientRect().height - margin.top - margin.bottom;

        var color = eval(options.colourScale);

        var color_node = function color_node(d){
          if (d.group){
            return color(d.group.replace(/ .*/, ""));
          } else {
            return "#cccccc";
          }
        }

        var color_link = function color_link(d){
          if (d.group){
            return color(d.group.replace(/ .*/, ""));
          } else {
            return "#000000";
          }
        }

        var opacity_link = function opacity_link(d){
          if (d.group){
            return 0.7;
          } else {
            return 0.2;
          }
        }


        var formatNumber = d3.format(",.0f"),
        format = function(d) { return formatNumber(d); }

        // create d3 sankey layout
        sankey
            .nodes(nodes)
            .links(links)
            .size([width, height])
            .nodeWidth(options.nodeWidth)
            .nodePadding(options.nodePadding)
            .sinksRight(options.sinksRight)
            .layout(options.iterations);

        // select the svg element and remove existing children
        d3.select(el).select("svg").selectAll("*").remove();
        // remove any previously set viewBox attribute
        d3.select(el).select("svg").attr("viewBox", null);
        // append g for our container to transform by margin
        var svg = d3.select(el).select("svg").append("g")
            .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

        // draw path
        var path = sankey.link();

        // draw links
        var link = svg.selectAll(".link")
            .data(links)
            .enter().append("path")
            .attr("class", "link")
            .attr("d", path)
            .style("stroke-width", function(d) { return Math.max(1, d.dy); })
            .style("fill", "none")
            .style("stroke", color_link)
            .style("stroke-opacity", opacity_link)
            .sort(function(a, b) { return b.dy - a.dy; })
            .on("mouseover", function(d) {
                d3.select(this)
                .style("stroke-opacity", function(d){return opacity_link(d) + 0.3});
            })
            .on("mouseout", function(d) {
                d3.select(this)
                .style("stroke-opacity", opacity_link);
            });

        // add backwards class to cycles
        link.classed('backwards', function (d) { return d.target.x < d.source.x; });

        svg.selectAll(".link.backwards")
            .style("stroke-dasharray","9,1")
            .style("stroke","#402")

        // draw nodes
        var node = svg.selectAll(".node")
            .data(nodes)
            .enter().append("g")
            .attr("class", "node")
            .attr("transform", function(d) { return "translate(" +
                                            d.x + "," + d.y + ")"; })
            .call(d3.drag()
            .subject(function(d) { return d; })
            .on("start", function() { this.parentNode.appendChild(this); })
            .on("drag", dragmove))
            .on("mouseover", function(d) {
                link.filter(function(d1, i) { return d.targetLinks.includes(d1) | d.sourceLinks.includes(d1); })
                 .style("stroke-opacity", function(d){return opacity_link(d) + 0.3});
            })
            .on("mouseout", function(d) {
                link.filter(function(d1, i) { return d.targetLinks.includes(d1) | d.sourceLinks.includes(d1); })
                .style("stroke-opacity", opacity_link);
            });
        // note: u2192 is right-arrow
        link.append("title")
            .append("foreignObject")
            .append("xhtml:body")
            .html(function(d) { return "<pre>" + d.source.name + " \u2192 " + d.target.name +
                "\n" + format(d.value) + " " + options.units + "</pre>"; });

        node.append("rect")
            .attr("height", function(d) { return d.dy; })
            .attr("width", sankey.nodeWidth())
            .style("fill", function(d) {
                return d.color = color_node(d); })
            .style("stroke", function(d) { return d3.rgb(d.color).darker(2); })
            .style("opacity", 0.9)
            .style("cursor", "move")
            .append("title")
            .append("foreignObject")
            .append("xhtml:body")
            .html(function(d) { return "<pre>" + d.name + "<br>" + format(d.value) + 
                " " + options.units + "</pre>"; });

        node.append("text")
            .attr("x", -6)
            .attr("y", function(d) { return d.dy / 2; })
            .attr("dy", ".35em")
            .attr("text-anchor", "end")
            .attr("transform", null)
            .text(function(d) { return d.name; })
            .style("font-size", options.fontSize + "px")
            .style("font-family", options.fontFamily ? options.fontFamily : "inherit")
            .filter(function(d) { return d.x < width / 2 || !options.sinksRight; })
            .attr("x", 6 + sankey.nodeWidth())
            .attr("text-anchor", "start");


        // adjust viewBox to fit the bounds of our tree
        var s = d3.select(svg.node().parentNode);
        s.attr(
            "viewBox",
            [
              d3.min(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().left
                })
              ) - s.node().getBoundingClientRect().left - margin.right,
              d3.min(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().top
                })
              ) - s.node().getBoundingClientRect().top - margin.top,
              d3.max(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().right
                })
              ) -
              d3.min(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().left
                })
              )  + margin.left + margin.right,
              d3.max(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().bottom
                })
              ) -
              d3.min(
                s.selectAll('g').nodes().map(function(d){
                  return d.getBoundingClientRect().top
                })
              ) + margin.top + margin.bottom
            ].join(",")
          );


        function dragmove(d) {
            d3.select(this).attr("transform", "translate(" + d.x + "," +
            (d.y = Math.max(0, Math.min(height - d.dy, d3.event.y))) + ")");
            sankey.relayout();
            link.attr("d", path);
        }
    },
});
\"></script>\n",
              "\t</head>\n",
              "\t<body>\n",
              "\t\t<div class=\"sankeyNetwork html-widget html-fill-item\" id=\"htmlwidget-d1dd074b6e1308b2823c\" style=\"width:960px;height:500px;\"></div>\n",
              "<script type=\"application/json\" data-for=\"htmlwidget-d1dd074b6e1308b2823c\">{\"x\":{\"links\":{\"source\":[0,1,0,1,0,2,1,0,0,2,1,0,1,0,1,0,1,0,3,0,3,4,1,0,3,4,1,0,1,0,1,0,1,1],\"target\":[5,5,6,6,7,7,7,8,9,9,9,10,10,11,11,12,12,13,13,14,14,14,14,15,15,15,15,16,16,17,17,18,18,19],\"value\":[6,8,40,45,6,7,26,1,1,1,29,3,9,67,60,3,4,1,1,2,47,448,43,2,172,6,110,12,6,17,2,18,11,2]},\"nodes\":{\"name\":[\"COMMERCIAL\",\"STREET\",\"PARKING LOT\",\"DWELLING\",\"HOUSING\",\"BEAUTY/NAIL SALON\",\"CLUB\",\"COMMERCIAL BLDG\",\"DRY CLEANER/LAUNDRY\",\"FAST FOOD\",\"GAS STATION\",\"GROCERY/BODEGA\",\"HOSPITAL\",\"HOTEL/MOTEL\",\"HOUSE\",\"MULTI DWELL - APT BUILD\",\"RESTAURANT/DINER\",\"SMALL MERCHANT\",\"STORE\",\"SUPERMARKET\"],\"group\":[\"COMMERCIAL\",\"STREET\",\"PARKING LOT\",\"DWELLING\",\"HOUSING\",\"BEAUTY/NAIL SALON\",\"CLUB\",\"COMMERCIAL BLDG\",\"DRY CLEANER/LAUNDRY\",\"FAST FOOD\",\"GAS STATION\",\"GROCERY/BODEGA\",\"HOSPITAL\",\"HOTEL/MOTEL\",\"HOUSE\",\"MULTI DWELL - APT BUILD\",\"RESTAURANT/DINER\",\"SMALL MERCHANT\",\"STORE\",\"SUPERMARKET\"]},\"options\":{\"NodeID\":\"name\",\"NodeGroup\":\"name\",\"LinkGroup\":null,\"colourScale\":\"d3.scaleOrdinal(d3.schemeCategory20);\",\"fontSize\":12,\"fontFamily\":null,\"nodeWidth\":15,\"nodePadding\":10,\"units\":\"\",\"margin\":{\"top\":null,\"right\":null,\"bottom\":null,\"left\":null},\"iterations\":32,\"sinksRight\":false}},\"evals\":[],\"jsHooks\":[]}</script>\n",
              "\t</body>\n",
              "</html>\n"
            ],
            "text/plain": [
              "HTML widgets cannot be represented in plain text (need html)"
            ]
          },
          "metadata": {
            "text/html": {
              "isolated": true
            }
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# issue with rendering\n",
        "sankeyNetwork(\n",
        "  Links = sankey_df, Nodes = nodes, Source = \"IDsource\",\n",
        "  Target = \"IDtarget\", Value = \"Value\", NodeID = \"name\",\n",
        "  sinksRight=FALSE, fontSize = 12\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "XnS9EnKVNlGO",
        "vscode": {
          "languageId": "r"
        }
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "R",
      "name": "ir"
    },
    "language_info": {
      "name": "R"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}