Data_Viz_SC.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "import seaborn as sns; \n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Type</th>\n",
       "      <th>Days for shipping (real)</th>\n",
       "      <th>Days for shipment (scheduled)</th>\n",
       "      <th>Benefit per order</th>\n",
       "      <th>Sales per customer</th>\n",
       "      <th>Delivery Status</th>\n",
       "      <th>Late_delivery_risk</th>\n",
       "      <th>Category Name</th>\n",
       "      <th>Customer City</th>\n",
       "      <th>...</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Order Item Total</th>\n",
       "      <th>Order Profit Per Order</th>\n",
       "      <th>Order Region</th>\n",
       "      <th>Order State</th>\n",
       "      <th>Order Status</th>\n",
       "      <th>Product Name</th>\n",
       "      <th>Product Price</th>\n",
       "      <th>shipping date (DateOrders)</th>\n",
       "      <th>Shipping Mode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>91.250000</td>\n",
       "      <td>314.640015</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.75</td>\n",
       "      <td>314.640015</td>\n",
       "      <td>91.250000</td>\n",
       "      <td>Southeast Asia</td>\n",
       "      <td>Java Occidental</td>\n",
       "      <td>COMPLETE</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.75</td>\n",
       "      <td>2/3/2018 22:56</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-249.089996</td>\n",
       "      <td>311.359985</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.75</td>\n",
       "      <td>311.359985</td>\n",
       "      <td>-249.089996</td>\n",
       "      <td>South Asia</td>\n",
       "      <td>RajastÃ¡n</td>\n",
       "      <td>PENDING</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.75</td>\n",
       "      <td>1/18/2018 12:27</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>-247.779999</td>\n",
       "      <td>309.720001</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>...</td>\n",
       "      <td>327.75</td>\n",
       "      <td>309.720001</td>\n",
       "      <td>-247.779999</td>\n",
       "      <td>South Asia</td>\n",
       "      <td>RajastÃ¡n</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.75</td>\n",
       "      <td>1/17/2018 12:06</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>22.860001</td>\n",
       "      <td>304.809998</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>...</td>\n",
       "      <td>327.75</td>\n",
       "      <td>304.809998</td>\n",
       "      <td>22.860001</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Queensland</td>\n",
       "      <td>COMPLETE</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.75</td>\n",
       "      <td>1/16/2018 11:45</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>134.210007</td>\n",
       "      <td>298.250000</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.75</td>\n",
       "      <td>298.250000</td>\n",
       "      <td>134.210007</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Queensland</td>\n",
       "      <td>PENDING_PAYMENT</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.75</td>\n",
       "      <td>1/15/2018 11:24</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0      Type  Days for shipping (real)  \\\n",
       "0           0     DEBIT                         3   \n",
       "1           1  TRANSFER                         5   \n",
       "2           2      CASH                         4   \n",
       "3           3     DEBIT                         3   \n",
       "4           4   PAYMENT                         2   \n",
       "\n",
       "   Days for shipment (scheduled)  Benefit per order  Sales per customer  \\\n",
       "0                              4          91.250000          314.640015   \n",
       "1                              4        -249.089996          311.359985   \n",
       "2                              4        -247.779999          309.720001   \n",
       "3                              4          22.860001          304.809998   \n",
       "4                              4         134.210007          298.250000   \n",
       "\n",
       "    Delivery Status  Late_delivery_risk   Category Name Customer City  ...  \\\n",
       "0  Advance shipping                   0  Sporting Goods        Caguas  ...   \n",
       "1     Late delivery                   1  Sporting Goods        Caguas  ...   \n",
       "2  Shipping on time                   0  Sporting Goods      San Jose  ...   \n",
       "3  Advance shipping                   0  Sporting Goods   Los Angeles  ...   \n",
       "4  Advance shipping                   0  Sporting Goods        Caguas  ...   \n",
       "\n",
       "    Sales  Order Item Total Order Profit Per Order    Order Region  \\\n",
       "0  327.75        314.640015              91.250000  Southeast Asia   \n",
       "1  327.75        311.359985            -249.089996      South Asia   \n",
       "2  327.75        309.720001            -247.779999      South Asia   \n",
       "3  327.75        304.809998              22.860001         Oceania   \n",
       "4  327.75        298.250000             134.210007         Oceania   \n",
       "\n",
       "       Order State     Order Status  Product Name Product Price  \\\n",
       "0  Java Occidental         COMPLETE  Smart watch         327.75   \n",
       "1        RajastÃ¡n          PENDING  Smart watch         327.75   \n",
       "2        RajastÃ¡n           CLOSED  Smart watch         327.75   \n",
       "3       Queensland         COMPLETE  Smart watch         327.75   \n",
       "4       Queensland  PENDING_PAYMENT  Smart watch         327.75   \n",
       "\n",
       "  shipping date (DateOrders)   Shipping Mode  \n",
       "0             2/3/2018 22:56  Standard Class  \n",
       "1            1/18/2018 12:27  Standard Class  \n",
       "2            1/17/2018 12:06  Standard Class  \n",
       "3            1/16/2018 11:45  Standard Class  \n",
       "4            1/15/2018 11:24  Standard Class  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('cleaned_data_SC.csv', encoding='unicode_escape')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DEBIT       69295\n",
       "TRANSFER    49883\n",
       "PAYMENT     41725\n",
       "CASH        19616\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mylabels = ['DEBIT','TRANSFER', 'PAYMENT', 'CASH']\n",
    "mylabels\n",
    "df['Type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x209a5a7a9a0>,\n",
       "  <matplotlib.patches.Wedge at 0x209a5a7ae50>,\n",
       "  <matplotlib.patches.Wedge at 0x209a5a86310>,\n",
       "  <matplotlib.patches.Wedge at 0x209a5a86790>],\n",
       " [Text(0.39248757740261486, 1.0275959816896068, 'DEBIT'),\n",
       "  Text(-1.0894780874002403, -0.15178108273007646, 'TRANSFER'),\n",
       "  Text(0.1773050324196299, -1.085616380439552, 'PAYMENT'),\n",
       "  Text(1.0365232097192523, -0.368265713464204, 'CASH')])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(100*df['Type'].value_counts()/len(df), labels = mylabels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "x=%{x}<br>y=%{y}<br>color=%{marker.color}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": [
           98977,
           41592,
           32196,
           7754
          ],
          "coloraxis": "coloraxis",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          "Late delivery",
          "Advance shipping",
          "Shipping on time",
          "Shipping canceled"
         ],
         "xaxis": "x",
         "y": [
          98977,
          41592,
          32196,
          7754
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "coloraxis": {
         "colorbar": {
          "title": {
           "text": "color"
          }
         },
         "colorscale": [
          [
           0,
           "#0d0887"
          ],
          [
           0.1111111111111111,
           "#46039f"
          ],
          [
           0.2222222222222222,
           "#7201a8"
          ],
          [
           0.3333333333333333,
           "#9c179e"
          ],
          [
           0.4444444444444444,
           "#bd3786"
          ],
          [
           0.5555555555555556,
           "#d8576b"
          ],
          [
           0.6666666666666666,
           "#ed7953"
          ],
          [
           0.7777777777777778,
           "#fb9f3a"
          ],
          [
           0.8888888888888888,
           "#fdca26"
          ],
          [
           1,
           "#f0f921"
          ]
         ]
        },
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
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   "source": [
    "data_delivery_status= df.groupby(['Delivery Status'])['Order Id'].count().reset_index(name='Number of Orders').sort_values(by= 'Number of Orders', ascending= False)\n",
    "px.bar(x=data_delivery_status['Delivery Status'] , y=data_delivery_status['Number of Orders']  , color=data_delivery_status['Number of Orders'],\n",
    "      labels = { 'Delivery Status': 'Delivery Status', 'Number of Orders': 'Number of Orders'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
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    "px.bar(data_delivery_status_region, x='Delivery Status', y='Number of Orders'  , color='Order Region',\n",
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          },
          "scene": {
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            "gridwidth": 2,
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            "gridwidth": 2,
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            "gridwidth": 2,
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            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
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         }
        },
        "xaxis": {
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         "anchor": "x",
         "domain": [
          0,
          1
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         "title": {
          "text": "Order Country"
         }
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_sales_country=df.groupby([ 'Order Country'])['Sales'].sum().reset_index(name='Sales of Orders').sort_values(by= 'Sales of Orders', ascending= False)\n",
    "px.bar(df_sales_country.head(10), x='Sales of Orders',y = 'Order Country',color ='Sales of Orders')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x209a5aedf70>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,10))\n",
    "sns.heatmap(df.corr(), annot = True, fmt = '.2f', cmap = 'magma')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.3 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "8870362bce49183a458c18fe583f0206c791766694228e48d89ae1a73e2bd4e8"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}