project_scripts.ipynb

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  "metadata": {
    "colab": {
      "name": "CMSC422 Final Project Scripts",
      "provenance": [],
      "collapsed_sections": [
        "q1CyqxAHOis2",
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      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q1CyqxAHOis2",
        "colab_type": "text"
      },
      "source": [
        "# **Importing The Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G-cCF7GC49H9",
        "colab_type": "code",
        "outputId": "9e3242af-6b52-4f5a-f93d-a05c64d56386",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 309
        }
      },
      "source": [
        "'''\n",
        "  Google collaboratory deletes files in the notebook runtime, so these are \n",
        "  the steps to follow whenever opening the notebook:\n",
        "  \n",
        "  1 - Download 'weather.csv', 'BOG-MED_2018-2019.xlsx', and \n",
        "      'MED-BOG_2018-2019.xlsx' from the Google Drive\n",
        "  2 - Create folder in runtime called 'data'\n",
        "  3 - Place downloaded files in folder 'data'\n",
        "'''\n",
        "import pandas as pd\n",
        "\n",
        "# converting XLSX to a pandas DataFrame\n",
        "data_bog_med = pd.read_excel('data/BOG-MED_2018-2019.xlsx')\n",
        "data_med_bog = pd.read_excel('data/MED-BOG_2018-2019.xlsx')\n",
        "data = data_bog_med.append(data_med_bog)\n",
        "pd.set_option('display.max_columns', 50)\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>AbruptAccelerations</th>\n",
              "      <th>AbruptBrakings</th>\n",
              "      <th>ArrivalPointId</th>\n",
              "      <th>ArrivalPointName</th>\n",
              "      <th>AverageSpeed</th>\n",
              "      <th>CustomerId</th>\n",
              "      <th>DeparturePointId</th>\n",
              "      <th>DeparturePointName</th>\n",
              "      <th>DriverId</th>\n",
              "      <th>EstimatedArrivalTimeSpan</th>\n",
              "      <th>ExecutingStatusId</th>\n",
              "      <th>ExecutingStatusName</th>\n",
              "      <th>ExternalCode</th>\n",
              "      <th>FleetId</th>\n",
              "      <th>IgnitionTime</th>\n",
              "      <th>MovingTime</th>\n",
              "      <th>OperatingStatusId</th>\n",
              "      <th>OperatingStatusName</th>\n",
              "      <th>ProgrammedArrivalTime</th>\n",
              "      <th>ProgrammedDepartureTime</th>\n",
              "      <th>RealArrivalTime</th>\n",
              "      <th>RealDepartureTime</th>\n",
              "      <th>Speedings</th>\n",
              "      <th>TemplateId</th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>TraveledDistance</th>\n",
              "      <th>TripComment</th>\n",
              "      <th>TripId</th>\n",
              "      <th>TripRouteId</th>\n",
              "      <th>TripRouteName</th>\n",
              "      <th>TripRouteTemplateName</th>\n",
              "      <th>VehicleId</th>\n",
              "      <th>TripTypeId</th>\n",
              "      <th>AuxiliaryVehicle</th>\n",
              "      <th>CompanyId</th>\n",
              "      <th>TemplateGroupId</th>\n",
              "      <th>TemplateGroupName</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1224</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>52.17</td>\n",
              "      <td>12</td>\n",
              "      <td>1199</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>106.0</td>\n",
              "      <td>3</td>\n",
              "      <td>Anticipado</td>\n",
              "      <td>3976157</td>\n",
              "      <td>160.0</td>\n",
              "      <td>28481.0</td>\n",
              "      <td>27777.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Cumplido</td>\n",
              "      <td>2018-01-02 03:30:00</td>\n",
              "      <td>2018-01-01 17:00:00</td>\n",
              "      <td>2018-01-02 01:44:00</td>\n",
              "      <td>2018-01-01 17:28:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2018-01-05 04:01:48.369</td>\n",
              "      <td>472676.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>275738</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3752.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1224</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>40.25</td>\n",
              "      <td>12</td>\n",
              "      <td>1199</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>-218.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Atrasado</td>\n",
              "      <td>3944883</td>\n",
              "      <td>160.0</td>\n",
              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Cumplido</td>\n",
              "      <td>2018-01-02 11:40:00</td>\n",
              "      <td>2018-01-02 01:40:00</td>\n",
              "      <td>2018-01-02 15:18:00</td>\n",
              "      <td>2018-01-02 02:06:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2018-01-06 00:02:49.519</td>\n",
              "      <td>505184.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>271248</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3573.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1224</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>42.98</td>\n",
              "      <td>12</td>\n",
              "      <td>1199</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>5184.0</td>\n",
              "      <td>-153.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Atrasado</td>\n",
              "      <td>3941720</td>\n",
              "      <td>155.0</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Cumplido</td>\n",
              "      <td>2018-01-02 14:00:00</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 16:33:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2018-01-06 00:02:49.717</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>271249</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3650.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1224</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>44.63</td>\n",
              "      <td>12</td>\n",
              "      <td>1199</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>3616.0</td>\n",
              "      <td>-134.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Atrasado</td>\n",
              "      <td>3936069</td>\n",
              "      <td>44.0</td>\n",
              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Cumplido</td>\n",
              "      <td>2018-01-02 15:40:00</td>\n",
              "      <td>2018-01-02 05:40:00</td>\n",
              "      <td>2018-01-02 17:54:00</td>\n",
              "      <td>2018-01-02 06:07:00</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2018-01-06 00:02:49.942</td>\n",
              "      <td>467722.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>271250</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4079.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1224</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>44.41</td>\n",
              "      <td>12</td>\n",
              "      <td>1199</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>-96.0</td>\n",
              "      <td>4</td>\n",
              "      <td>Atrasado</td>\n",
              "      <td>3941713</td>\n",
              "      <td>155.0</td>\n",
              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>8</td>\n",
              "      <td>Cumplido</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 18:06:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2018-01-06 00:02:50.028</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>271251</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   AbruptAccelerations  AbruptBrakings  ArrivalPointId ArrivalPointName  \\\n",
              "0                  1.0             0.0            1224         Medellin   \n",
              "1                  0.0             0.0            1224         Medellin   \n",
              "2                  0.0             0.0            1224         Medellin   \n",
              "3                  1.0             1.0            1224         Medellin   \n",
              "4                  0.0             0.0            1224         Medellin   \n",
              "\n",
              "   AverageSpeed  CustomerId  DeparturePointId DeparturePointName  DriverId  \\\n",
              "0         52.17          12              1199             Bogota    3620.0   \n",
              "1         40.25          12              1199             Bogota    3378.0   \n",
              "2         42.98          12              1199             Bogota    5184.0   \n",
              "3         44.63          12              1199             Bogota    3616.0   \n",
              "4         44.41          12              1199             Bogota    3636.0   \n",
              "\n",
              "   EstimatedArrivalTimeSpan  ExecutingStatusId ExecutingStatusName  \\\n",
              "0                     106.0                  3          Anticipado   \n",
              "1                    -218.0                  4            Atrasado   \n",
              "2                    -153.0                  4            Atrasado   \n",
              "3                    -134.0                  4            Atrasado   \n",
              "4                     -96.0                  4            Atrasado   \n",
              "\n",
              "   ExternalCode  FleetId  IgnitionTime  MovingTime  OperatingStatusId  \\\n",
              "0       3976157    160.0       28481.0     27777.0                  8   \n",
              "1       3944883    160.0       43560.0     34893.0                  8   \n",
              "2       3941720    155.0       42300.0     32748.0                  8   \n",
              "3       3936069     44.0       41280.0     33050.0                  8   \n",
              "4       3941713    155.0       37380.0     33224.0                  8   \n",
              "\n",
              "  OperatingStatusName ProgrammedArrivalTime ProgrammedDepartureTime  \\\n",
              "0            Cumplido   2018-01-02 03:30:00     2018-01-01 17:00:00   \n",
              "1            Cumplido   2018-01-02 11:40:00     2018-01-02 01:40:00   \n",
              "2            Cumplido   2018-01-02 14:00:00     2018-01-02 04:00:00   \n",
              "3            Cumplido   2018-01-02 15:40:00     2018-01-02 05:40:00   \n",
              "4            Cumplido   2018-01-02 16:30:00     2018-01-02 06:30:00   \n",
              "\n",
              "      RealArrivalTime   RealDepartureTime  Speedings  TemplateId  \\\n",
              "0 2018-01-02 01:44:00 2018-01-01 17:28:00        0.0         NaN   \n",
              "1 2018-01-02 15:18:00 2018-01-02 02:06:00        0.0         NaN   \n",
              "2 2018-01-02 16:33:00 2018-01-02 04:24:00        0.0         NaN   \n",
              "3 2018-01-02 17:54:00 2018-01-02 06:07:00        5.0         NaN   \n",
              "4 2018-01-02 18:06:00 2018-01-02 06:44:00        0.0         NaN   \n",
              "\n",
              "                Timestamp  TraveledDistance  TripComment  TripId  TripRouteId  \\\n",
              "0 2018-01-05 04:01:48.369          472676.0          NaN  275738          NaN   \n",
              "1 2018-01-06 00:02:49.519          505184.0          NaN  271248          NaN   \n",
              "2 2018-01-06 00:02:49.717          495517.0          NaN  271249          NaN   \n",
              "3 2018-01-06 00:02:49.942          467722.0          NaN  271250          NaN   \n",
              "4 2018-01-06 00:02:50.028          458692.0          NaN  271251          NaN   \n",
              "\n",
              "  TripRouteName  TripRouteTemplateName  VehicleId  TripTypeId  \\\n",
              "0           NaN                    NaN     3752.0         NaN   \n",
              "1           NaN                    NaN     3573.0         NaN   \n",
              "2           NaN                    NaN     3650.0         NaN   \n",
              "3           NaN                    NaN     4079.0         NaN   \n",
              "4           NaN                    NaN     3590.0         NaN   \n",
              "\n",
              "   AuxiliaryVehicle  CompanyId  TemplateGroupId  TemplateGroupName  \n",
              "0               NaN        NaN              NaN                NaN  \n",
              "1               NaN        NaN              NaN                NaN  \n",
              "2               NaN        NaN              NaN                NaN  \n",
              "3               NaN        NaN              NaN                NaN  \n",
              "4               NaN        NaN              NaN                NaN  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k7rKvgPVKcxW",
        "colab_type": "text"
      },
      "source": [
        "# **Mapping Columns**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2L-pfKiNKb-h",
        "colab_type": "code",
        "outputId": "6a977581-07d8-47ea-dbd1-95a545f285fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 224
        }
      },
      "source": [
        "'''\n",
        "  Rename columns for organizational purposes / Pythonic naming conventions\n",
        "'''\n",
        "name_map = {\n",
        "    # 1 - IDs to identify the trip\n",
        "    'CompanyId': 'id_company',\n",
        "    'DriverId': 'id_driver',\n",
        "    'VehicleId': 'id_vehicle',\n",
        "\n",
        "    # 2 - Infraction information\n",
        "    'AbruptAccelerations': 'infraction_abrupt_accelerations',\n",
        "    'AbruptBrakings': 'infraction_abrupt_brakings',\n",
        "    'Speedings': 'infraction_speedings',\n",
        "\n",
        "    # 3 - Data about the trip\n",
        "    'AverageSpeed': 'data_average_speed',\n",
        "    'IgnitionTime': 'data_ignition_time',\n",
        "    'MovingTime': 'data_moving_time',\n",
        "    'TraveledDistance': 'data_total_distance',\n",
        "\n",
        "    # 4 - Departure information\n",
        "    'DeparturePointName': 'departure_location',\n",
        "    'ProgrammedDepartureTime': 'departure_time_programmed',\n",
        "    'RealDepartureTime': 'departure_time_actual',\n",
        "\n",
        "    # 5 - Arrival information\n",
        "    'ArrivalPointName': 'arrival_location',\n",
        "    'ProgrammedArrivalTime': 'arrival_time_programmed',\n",
        "    'RealArrivalTime': 'arrival_time_actual',\n",
        "}\n",
        "\n",
        "data = data[name_map.keys()]\n",
        "data = data.rename(columns=name_map)\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id_company</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>3752.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.17</td>\n",
              "      <td>28481.0</td>\n",
              "      <td>27777.0</td>\n",
              "      <td>472676.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-01 17:00:00</td>\n",
              "      <td>2018-01-01 17:28:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 03:30:00</td>\n",
              "      <td>2018-01-02 01:44:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>3573.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>40.25</td>\n",
              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
              "      <td>505184.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 01:40:00</td>\n",
              "      <td>2018-01-02 02:06:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 11:40:00</td>\n",
              "      <td>2018-01-02 15:18:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>5184.0</td>\n",
              "      <td>3650.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>42.98</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 14:00:00</td>\n",
              "      <td>2018-01-02 16:33:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3616.0</td>\n",
              "      <td>4079.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>44.63</td>\n",
              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
              "      <td>467722.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 05:40:00</td>\n",
              "      <td>2018-01-02 06:07:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 15:40:00</td>\n",
              "      <td>2018-01-02 17:54:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>44.41</td>\n",
              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 18:06:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id_company  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "0         NaN     3620.0      3752.0                              1.0   \n",
              "1         NaN     3378.0      3573.0                              0.0   \n",
              "2         NaN     5184.0      3650.0                              0.0   \n",
              "3         NaN     3616.0      4079.0                              1.0   \n",
              "4         NaN     3636.0      3590.0                              0.0   \n",
              "\n",
              "   infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "0                         0.0                   0.0               52.17   \n",
              "1                         0.0                   0.0               40.25   \n",
              "2                         0.0                   0.0               42.98   \n",
              "3                         1.0                   5.0               44.63   \n",
              "4                         0.0                   0.0               44.41   \n",
              "\n",
              "   data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "0             28481.0           27777.0             472676.0   \n",
              "1             43560.0           34893.0             505184.0   \n",
              "2             42300.0           32748.0             495517.0   \n",
              "3             41280.0           33050.0             467722.0   \n",
              "4             37380.0           33224.0             458692.0   \n",
              "\n",
              "  departure_location departure_time_programmed departure_time_actual  \\\n",
              "0             Bogota       2018-01-01 17:00:00   2018-01-01 17:28:00   \n",
              "1             Bogota       2018-01-02 01:40:00   2018-01-02 02:06:00   \n",
              "2             Bogota       2018-01-02 04:00:00   2018-01-02 04:24:00   \n",
              "3             Bogota       2018-01-02 05:40:00   2018-01-02 06:07:00   \n",
              "4             Bogota       2018-01-02 06:30:00   2018-01-02 06:44:00   \n",
              "\n",
              "  arrival_location arrival_time_programmed arrival_time_actual  \n",
              "0         Medellin     2018-01-02 03:30:00 2018-01-02 01:44:00  \n",
              "1         Medellin     2018-01-02 11:40:00 2018-01-02 15:18:00  \n",
              "2         Medellin     2018-01-02 14:00:00 2018-01-02 16:33:00  \n",
              "3         Medellin     2018-01-02 15:40:00 2018-01-02 17:54:00  \n",
              "4         Medellin     2018-01-02 16:30:00 2018-01-02 18:06:00  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bLl1aEo899uP",
        "colab_type": "text"
      },
      "source": [
        "# **Cleaning Missing Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OPONMSP02O_p",
        "colab_type": "code",
        "outputId": "90d8a6d3-6d48-48e5-c9d6-8cc34a8dce07",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Company id and route id was included for dates later in the year, but we can \n",
        "  manually populate them since there is only one company and two routes.\n",
        "'''\n",
        "data['id_company'] = 9\n",
        "data['id_route'] = data['departure_location'].apply(lambda x: '2932' if x == 'Medellin' else '2857')\n",
        "\n",
        "# remove rows with missing data\n",
        "print(\"Rows before: {}\".format(len(data)))\n",
        "data = data.dropna()\n",
        "print(\"Rows after: {}\".format(len(data)))\n",
        "\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Rows before: 13754\n",
            "Rows after: 12635\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "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>id_company</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>id_route</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>3752.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.17</td>\n",
              "      <td>28481.0</td>\n",
              "      <td>27777.0</td>\n",
              "      <td>472676.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-01 17:00:00</td>\n",
              "      <td>2018-01-01 17:28:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 03:30:00</td>\n",
              "      <td>2018-01-02 01:44:00</td>\n",
              "      <td>2857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>9</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>3573.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>40.25</td>\n",
              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
              "      <td>505184.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 01:40:00</td>\n",
              "      <td>2018-01-02 02:06:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 11:40:00</td>\n",
              "      <td>2018-01-02 15:18:00</td>\n",
              "      <td>2857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>9</td>\n",
              "      <td>5184.0</td>\n",
              "      <td>3650.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>42.98</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 14:00:00</td>\n",
              "      <td>2018-01-02 16:33:00</td>\n",
              "      <td>2857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>9</td>\n",
              "      <td>3616.0</td>\n",
              "      <td>4079.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>44.63</td>\n",
              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
              "      <td>467722.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 05:40:00</td>\n",
              "      <td>2018-01-02 06:07:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 15:40:00</td>\n",
              "      <td>2018-01-02 17:54:00</td>\n",
              "      <td>2857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>44.41</td>\n",
              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 18:06:00</td>\n",
              "      <td>2857</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   id_company  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "0           9     3620.0      3752.0                              1.0   \n",
              "1           9     3378.0      3573.0                              0.0   \n",
              "2           9     5184.0      3650.0                              0.0   \n",
              "3           9     3616.0      4079.0                              1.0   \n",
              "4           9     3636.0      3590.0                              0.0   \n",
              "\n",
              "   infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "0                         0.0                   0.0               52.17   \n",
              "1                         0.0                   0.0               40.25   \n",
              "2                         0.0                   0.0               42.98   \n",
              "3                         1.0                   5.0               44.63   \n",
              "4                         0.0                   0.0               44.41   \n",
              "\n",
              "   data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "0             28481.0           27777.0             472676.0   \n",
              "1             43560.0           34893.0             505184.0   \n",
              "2             42300.0           32748.0             495517.0   \n",
              "3             41280.0           33050.0             467722.0   \n",
              "4             37380.0           33224.0             458692.0   \n",
              "\n",
              "  departure_location departure_time_programmed departure_time_actual  \\\n",
              "0             Bogota       2018-01-01 17:00:00   2018-01-01 17:28:00   \n",
              "1             Bogota       2018-01-02 01:40:00   2018-01-02 02:06:00   \n",
              "2             Bogota       2018-01-02 04:00:00   2018-01-02 04:24:00   \n",
              "3             Bogota       2018-01-02 05:40:00   2018-01-02 06:07:00   \n",
              "4             Bogota       2018-01-02 06:30:00   2018-01-02 06:44:00   \n",
              "\n",
              "  arrival_location arrival_time_programmed arrival_time_actual id_route  \n",
              "0         Medellin     2018-01-02 03:30:00 2018-01-02 01:44:00     2857  \n",
              "1         Medellin     2018-01-02 11:40:00 2018-01-02 15:18:00     2857  \n",
              "2         Medellin     2018-01-02 14:00:00 2018-01-02 16:33:00     2857  \n",
              "3         Medellin     2018-01-02 15:40:00 2018-01-02 17:54:00     2857  \n",
              "4         Medellin     2018-01-02 16:30:00 2018-01-02 18:06:00     2857  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uTT9f0ys-F_K",
        "colab_type": "text"
      },
      "source": [
        "# **Adding Weather Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Ec92ENepH8z",
        "colab_type": "code",
        "outputId": "af4226d6-dd24-4d9c-8c0e-7dad30d69298",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Populating weather at departure and destination (w/ appropriate times).\n",
        "\n",
        "  We will use the 'departure_time_programmed' and 'arrival_time_programmed'\n",
        "  to get weather forcasts (because 'departure_time_actual' & 'arrival_time_actual')\n",
        "  are determined after the fact and our model will have neither available before\n",
        "  a trip starts.\n",
        "\n",
        "  This is done before partitioning the data because weather data is dependent on\n",
        "  location and is not company or route-specific.\n",
        "'''\n",
        "\n",
        "# add weather data\n",
        "\n",
        "weather = pd.read_csv('data/weather.csv')\n",
        "\n",
        "name_map = {\n",
        "  'STATION': 'station',\n",
        "  'NAME': 'name',\n",
        "  'LATITUDE': 'latitude',\n",
        "  'LONGITUDE': 'longitude',\n",
        "  'ELEVATION': 'elevation',\n",
        "  'DATE': 'date',\n",
        "  'PRCP': 'rainfall',\n",
        "  'SNWD': 'snow_depth',\n",
        "  'TAVG': 'temp',\n",
        "  'TMAX': 'max_temp',\n",
        "  'TMIN': 'min_temp'\n",
        "}\n",
        "weather = weather.rename(columns=name_map)\n",
        "weather = weather.replace({'OLAYA HERRERA, CO': 'Medellin', 'BOGOTA ELDORADO, CO': 'Bogota'})\n",
        "\n",
        "weather['date'] = pd.to_datetime(weather['date']).dt.date\n",
        "\n",
        "stations = ['Medellin', 'Bogota']\n",
        "weather_subset = weather[weather['name'].isin(stations)][['name', 'date', 'rainfall', 'temp']]\n",
        "\n",
        "data['arrive'] = pd.to_datetime(data['arrival_time_actual']).dt.date\n",
        "data['depart'] = pd.to_datetime(data['departure_time_actual']).dt.date\n",
        "\n",
        "res = pd.DataFrame(columns=['depart_rainfall', 'depart_temp', 'arrive_rainfall', 'arrive_temp'])  \n",
        "weath = weather_subset\n",
        "for index, row in data.iterrows():\n",
        "  depart = weath[(weath['name'] == row['departure_location']) & (weath['date'] == row['depart'])].reset_index()\n",
        "  arrive = weath[(weath['name'] == row['arrival_location']) & (weath['date'] == row['arrive'])].reset_index()\n",
        "  \n",
        "  curr = pd.DataFrame() \n",
        "  curr['arrive_rainfall'] = arrive['rainfall']\n",
        "  curr['arrive_temp'] = arrive['temp'] \n",
        "  curr['depart_rainfall'] = depart['rainfall']\n",
        "  curr['depart_temp'] = depart['temp']\n",
        "\n",
        "  res = res.append(curr, ignore_index=True)\n",
        "\n",
        "data = pd.concat([data.reset_index(), res], axis=1)\n",
        "data = data.drop(columns=['arrive', 'depart'])\n",
        "\n",
        "data"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>index</th>\n",
              "      <th>id_company</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>id_route</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>3752.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.17</td>\n",
              "      <td>28481.0</td>\n",
              "      <td>27777.0</td>\n",
              "      <td>472676.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-01 17:00:00</td>\n",
              "      <td>2018-01-01 17:28:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 03:30:00</td>\n",
              "      <td>2018-01-02 01:44:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>NaN</td>\n",
              "      <td>56</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>3573.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>40.25</td>\n",
              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
              "      <td>505184.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 01:40:00</td>\n",
              "      <td>2018-01-02 02:06:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 11:40:00</td>\n",
              "      <td>2018-01-02 15:18:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>9</td>\n",
              "      <td>5184.0</td>\n",
              "      <td>3650.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>42.98</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 14:00:00</td>\n",
              "      <td>2018-01-02 16:33:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>9</td>\n",
              "      <td>3616.0</td>\n",
              "      <td>4079.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>44.63</td>\n",
              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
              "      <td>467722.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 05:40:00</td>\n",
              "      <td>2018-01-02 06:07:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 15:40:00</td>\n",
              "      <td>2018-01-02 17:54:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>9</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>44.41</td>\n",
              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 18:06:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12630</th>\n",
              "      <td>6907</td>\n",
              "      <td>9</td>\n",
              "      <td>6694.0</td>\n",
              "      <td>4931.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49.20</td>\n",
              "      <td>31049.0</td>\n",
              "      <td>28913.0</td>\n",
              "      <td>419309.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-30 17:45:00</td>\n",
              "      <td>2019-12-30 18:11:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-31 03:45:00</td>\n",
              "      <td>2019-12-31 02:51:00</td>\n",
              "      <td>2932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12631</th>\n",
              "      <td>6908</td>\n",
              "      <td>9</td>\n",
              "      <td>3418.0</td>\n",
              "      <td>4901.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>53.70</td>\n",
              "      <td>33120.0</td>\n",
              "      <td>29839.0</td>\n",
              "      <td>470959.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-30 17:46:00</td>\n",
              "      <td>2019-12-30 18:02:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-31 04:01:00</td>\n",
              "      <td>2019-12-31 03:14:00</td>\n",
              "      <td>2932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12632</th>\n",
              "      <td>6909</td>\n",
              "      <td>9</td>\n",
              "      <td>14650.0</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>49.22</td>\n",
              "      <td>31096.0</td>\n",
              "      <td>27731.0</td>\n",
              "      <td>416148.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-30 17:47:00</td>\n",
              "      <td>2019-12-30 17:57:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-31 04:02:00</td>\n",
              "      <td>2019-12-31 02:49:00</td>\n",
              "      <td>2932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12633</th>\n",
              "      <td>6910</td>\n",
              "      <td>9</td>\n",
              "      <td>6584.0</td>\n",
              "      <td>3676.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.10</td>\n",
              "      <td>33360.0</td>\n",
              "      <td>26698.0</td>\n",
              "      <td>428667.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-31 01:40:00</td>\n",
              "      <td>2019-12-31 02:03:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-31 11:40:00</td>\n",
              "      <td>2019-12-31 11:07:00</td>\n",
              "      <td>2932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12634</th>\n",
              "      <td>6911</td>\n",
              "      <td>9</td>\n",
              "      <td>3580.0</td>\n",
              "      <td>3623.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.43</td>\n",
              "      <td>32640.0</td>\n",
              "      <td>26955.0</td>\n",
              "      <td>431446.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-31 04:00:00</td>\n",
              "      <td>2019-12-31 04:23:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-31 14:00:00</td>\n",
              "      <td>2019-12-31 13:31:00</td>\n",
              "      <td>2932</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>12635 rows × 22 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       index  id_company  id_driver  id_vehicle  \\\n",
              "0          0           9     3620.0      3752.0   \n",
              "1          1           9     3378.0      3573.0   \n",
              "2          2           9     5184.0      3650.0   \n",
              "3          3           9     3616.0      4079.0   \n",
              "4          4           9     3636.0      3590.0   \n",
              "...      ...         ...        ...         ...   \n",
              "12630   6907           9     6694.0      4931.0   \n",
              "12631   6908           9     3418.0      4901.0   \n",
              "12632   6909           9    14650.0      3636.0   \n",
              "12633   6910           9     6584.0      3676.0   \n",
              "12634   6911           9     3580.0      3623.0   \n",
              "\n",
              "       infraction_abrupt_accelerations  infraction_abrupt_brakings  \\\n",
              "0                                  1.0                         0.0   \n",
              "1                                  0.0                         0.0   \n",
              "2                                  0.0                         0.0   \n",
              "3                                  1.0                         1.0   \n",
              "4                                  0.0                         0.0   \n",
              "...                                ...                         ...   \n",
              "12630                              1.0                         0.0   \n",
              "12631                              2.0                         1.0   \n",
              "12632                              1.0                         1.0   \n",
              "12633                              0.0                         0.0   \n",
              "12634                              0.0                         0.0   \n",
              "\n",
              "       infraction_speedings  data_average_speed  data_ignition_time  \\\n",
              "0                       0.0               52.17             28481.0   \n",
              "1                       0.0               40.25             43560.0   \n",
              "2                       0.0               42.98             42300.0   \n",
              "3                       5.0               44.63             41280.0   \n",
              "4                       0.0               44.41             37380.0   \n",
              "...                     ...                 ...                 ...   \n",
              "12630                   0.0               49.20             31049.0   \n",
              "12631                   0.0               53.70             33120.0   \n",
              "12632                   1.0               49.22             31096.0   \n",
              "12633                   0.0               54.10             33360.0   \n",
              "12634                   0.0               54.43             32640.0   \n",
              "\n",
              "       data_moving_time  data_total_distance departure_location  \\\n",
              "0               27777.0             472676.0             Bogota   \n",
              "1               34893.0             505184.0             Bogota   \n",
              "2               32748.0             495517.0             Bogota   \n",
              "3               33050.0             467722.0             Bogota   \n",
              "4               33224.0             458692.0             Bogota   \n",
              "...                 ...                  ...                ...   \n",
              "12630           28913.0             419309.0           Medellin   \n",
              "12631           29839.0             470959.0           Medellin   \n",
              "12632           27731.0             416148.0           Medellin   \n",
              "12633           26698.0             428667.0           Medellin   \n",
              "12634           26955.0             431446.0           Medellin   \n",
              "\n",
              "      departure_time_programmed departure_time_actual arrival_location  \\\n",
              "0           2018-01-01 17:00:00   2018-01-01 17:28:00         Medellin   \n",
              "1           2018-01-02 01:40:00   2018-01-02 02:06:00         Medellin   \n",
              "2           2018-01-02 04:00:00   2018-01-02 04:24:00         Medellin   \n",
              "3           2018-01-02 05:40:00   2018-01-02 06:07:00         Medellin   \n",
              "4           2018-01-02 06:30:00   2018-01-02 06:44:00         Medellin   \n",
              "...                         ...                   ...              ...   \n",
              "12630       2019-12-30 17:45:00   2019-12-30 18:11:00           Bogota   \n",
              "12631       2019-12-30 17:46:00   2019-12-30 18:02:00           Bogota   \n",
              "12632       2019-12-30 17:47:00   2019-12-30 17:57:00           Bogota   \n",
              "12633       2019-12-31 01:40:00   2019-12-31 02:03:00           Bogota   \n",
              "12634       2019-12-31 04:00:00   2019-12-31 04:23:00           Bogota   \n",
              "\n",
              "      arrival_time_programmed arrival_time_actual id_route  depart_rainfall  \\\n",
              "0         2018-01-02 03:30:00 2018-01-02 01:44:00     2857              NaN   \n",
              "1         2018-01-02 11:40:00 2018-01-02 15:18:00     2857             0.02   \n",
              "2         2018-01-02 14:00:00 2018-01-02 16:33:00     2857             0.02   \n",
              "3         2018-01-02 15:40:00 2018-01-02 17:54:00     2857             0.02   \n",
              "4         2018-01-02 16:30:00 2018-01-02 18:06:00     2857             0.02   \n",
              "...                       ...                 ...      ...              ...   \n",
              "12630     2019-12-31 03:45:00 2019-12-31 02:51:00     2932              NaN   \n",
              "12631     2019-12-31 04:01:00 2019-12-31 03:14:00     2932              NaN   \n",
              "12632     2019-12-31 04:02:00 2019-12-31 02:49:00     2932              NaN   \n",
              "12633     2019-12-31 11:40:00 2019-12-31 11:07:00     2932              NaN   \n",
              "12634     2019-12-31 14:00:00 2019-12-31 13:31:00     2932              NaN   \n",
              "\n",
              "      depart_temp  arrive_rainfall arrive_temp  \n",
              "0              56              NaN          72  \n",
              "1              54              NaN          72  \n",
              "2              54              NaN          72  \n",
              "3              54              NaN          72  \n",
              "4              54              NaN          72  \n",
              "...           ...              ...         ...  \n",
              "12630         NaN              NaN         NaN  \n",
              "12631         NaN              NaN         NaN  \n",
              "12632         NaN              NaN         NaN  \n",
              "12633         NaN              NaN         NaN  \n",
              "12634         NaN              NaN         NaN  \n",
              "\n",
              "[12635 rows x 22 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U__lpLiq-L0c",
        "colab_type": "text"
      },
      "source": [
        "# **Partitioning Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rZikQsR9KcNM",
        "colab_type": "code",
        "outputId": "e5f3b659-f122-46f1-afdf-10ae55853a43",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        " Split the data by company ID \n",
        "\n",
        " The idea is to provide insights on a company-level basis.\n",
        " Different companies may be using different vehicle types that move at different base speeds.\n",
        " Conflating these vehicle types will skew the recommendations we can give each company.\n",
        "'''\n",
        "\n",
        "unique_company_ids = data['id_company'].unique()\n",
        "print(\"Total Companies: {}\".format(unique_company_ids.size))\n",
        "\n",
        "company_dataframes = {\n",
        "    k: data[data['id_company'] == k].drop(columns=['id_company'])\n",
        "    for k in unique_company_ids\n",
        "}\n",
        "\n",
        "for id_company in company_dataframes.keys():\n",
        "  company_dataframe = company_dataframes[id_company]\n",
        "\n",
        "  print(\"\\nCompany {}'s Dataframe ({} total entries):\".format(int(id_company), len(company_dataframe)))\n",
        "  display(company_dataframe.head())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total Companies: 1\n",
            "\n",
            "Company 9's Dataframe (12635 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>id_route</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>3752.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.17</td>\n",
              "      <td>28481.0</td>\n",
              "      <td>27777.0</td>\n",
              "      <td>472676.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-01 17:00:00</td>\n",
              "      <td>2018-01-01 17:28:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 03:30:00</td>\n",
              "      <td>2018-01-02 01:44:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>NaN</td>\n",
              "      <td>56</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>3378.0</td>\n",
              "      <td>3573.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>40.25</td>\n",
              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
              "      <td>505184.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 01:40:00</td>\n",
              "      <td>2018-01-02 02:06:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 11:40:00</td>\n",
              "      <td>2018-01-02 15:18:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>5184.0</td>\n",
              "      <td>3650.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>42.98</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 14:00:00</td>\n",
              "      <td>2018-01-02 16:33:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>3616.0</td>\n",
              "      <td>4079.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>44.63</td>\n",
              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
              "      <td>467722.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 05:40:00</td>\n",
              "      <td>2018-01-02 06:07:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 15:40:00</td>\n",
              "      <td>2018-01-02 17:54:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>3636.0</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>44.41</td>\n",
              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 18:06:00</td>\n",
              "      <td>2857</td>\n",
              "      <td>0.02</td>\n",
              "      <td>54</td>\n",
              "      <td>NaN</td>\n",
              "      <td>72</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "0      0     3620.0      3752.0                              1.0   \n",
              "1      1     3378.0      3573.0                              0.0   \n",
              "2      2     5184.0      3650.0                              0.0   \n",
              "3      3     3616.0      4079.0                              1.0   \n",
              "4      4     3636.0      3590.0                              0.0   \n",
              "\n",
              "   infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "0                         0.0                   0.0               52.17   \n",
              "1                         0.0                   0.0               40.25   \n",
              "2                         0.0                   0.0               42.98   \n",
              "3                         1.0                   5.0               44.63   \n",
              "4                         0.0                   0.0               44.41   \n",
              "\n",
              "   data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "0             28481.0           27777.0             472676.0   \n",
              "1             43560.0           34893.0             505184.0   \n",
              "2             42300.0           32748.0             495517.0   \n",
              "3             41280.0           33050.0             467722.0   \n",
              "4             37380.0           33224.0             458692.0   \n",
              "\n",
              "  departure_location departure_time_programmed departure_time_actual  \\\n",
              "0             Bogota       2018-01-01 17:00:00   2018-01-01 17:28:00   \n",
              "1             Bogota       2018-01-02 01:40:00   2018-01-02 02:06:00   \n",
              "2             Bogota       2018-01-02 04:00:00   2018-01-02 04:24:00   \n",
              "3             Bogota       2018-01-02 05:40:00   2018-01-02 06:07:00   \n",
              "4             Bogota       2018-01-02 06:30:00   2018-01-02 06:44:00   \n",
              "\n",
              "  arrival_location arrival_time_programmed arrival_time_actual id_route  \\\n",
              "0         Medellin     2018-01-02 03:30:00 2018-01-02 01:44:00     2857   \n",
              "1         Medellin     2018-01-02 11:40:00 2018-01-02 15:18:00     2857   \n",
              "2         Medellin     2018-01-02 14:00:00 2018-01-02 16:33:00     2857   \n",
              "3         Medellin     2018-01-02 15:40:00 2018-01-02 17:54:00     2857   \n",
              "4         Medellin     2018-01-02 16:30:00 2018-01-02 18:06:00     2857   \n",
              "\n",
              "   depart_rainfall depart_temp  arrive_rainfall arrive_temp  \n",
              "0              NaN          56              NaN          72  \n",
              "1             0.02          54              NaN          72  \n",
              "2             0.02          54              NaN          72  \n",
              "3             0.02          54              NaN          72  \n",
              "4             0.02          54              NaN          72  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "46ht-yUwKcXe",
        "colab_type": "code",
        "outputId": "72aa0c98-3a97-4759-95c7-b22df533cd9b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Split the data by route ID\n",
        "    • The idea is to provide insights on a route-by-route basis.\n",
        "    • Different routes may be using different vehicles/carrying different\n",
        "    types of merchandise, or may have separate factors that affect travel time.\n",
        "'''\n",
        "for id_company in company_dataframes.keys():\n",
        "  company_data = company_dataframes[id_company]\n",
        "  unique_route_ids = data['id_route'].unique()\n",
        "\n",
        "  print(\"Total Unique Routes: {}\".format(unique_route_ids.size))\n",
        "\n",
        "  company_dataframes[id_company] = {\n",
        "      x: company_data[company_data['id_route'] == x].drop(columns=['id_route'])\n",
        "      for x in unique_route_ids\n",
        "  }\n",
        "\n",
        "  for id_route in company_dataframes[id_company].keys():\n",
        "    route_data = company_dataframes[id_company][id_route]\n",
        "\n",
        "    print(\"\\n\\nCompany {} On Route {} ({} total entries):\".format(int(id_company), int(id_route), len(route_data)))\n",
        "    display(route_data.head())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Total Unique Routes: 2\n",
            "\n",
            "\n",
            "Company 9 On Route 2857 (6349 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
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              "      <td>Bogota</td>\n",
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              "      <td>43560.0</td>\n",
              "      <td>34893.0</td>\n",
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              "      <td>Bogota</td>\n",
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              "      <td>Medellin</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>42.98</td>\n",
              "      <td>42300.0</td>\n",
              "      <td>32748.0</td>\n",
              "      <td>495517.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:24:00</td>\n",
              "      <td>Medellin</td>\n",
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              "      <td>2018-01-02 16:33:00</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>41280.0</td>\n",
              "      <td>33050.0</td>\n",
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              "      <td>72</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>37380.0</td>\n",
              "      <td>33224.0</td>\n",
              "      <td>458692.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 06:44:00</td>\n",
              "      <td>Medellin</td>\n",
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            ],
            "text/plain": [
              "   index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "0      0     3620.0      3752.0                              1.0   \n",
              "1      1     3378.0      3573.0                              0.0   \n",
              "2      2     5184.0      3650.0                              0.0   \n",
              "3      3     3616.0      4079.0                              1.0   \n",
              "4      4     3636.0      3590.0                              0.0   \n",
              "\n",
              "   infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "0                         0.0                   0.0               52.17   \n",
              "1                         0.0                   0.0               40.25   \n",
              "2                         0.0                   0.0               42.98   \n",
              "3                         1.0                   5.0               44.63   \n",
              "4                         0.0                   0.0               44.41   \n",
              "\n",
              "   data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "0             28481.0           27777.0             472676.0   \n",
              "1             43560.0           34893.0             505184.0   \n",
              "2             42300.0           32748.0             495517.0   \n",
              "3             41280.0           33050.0             467722.0   \n",
              "4             37380.0           33224.0             458692.0   \n",
              "\n",
              "  departure_location departure_time_programmed departure_time_actual  \\\n",
              "0             Bogota       2018-01-01 17:00:00   2018-01-01 17:28:00   \n",
              "1             Bogota       2018-01-02 01:40:00   2018-01-02 02:06:00   \n",
              "2             Bogota       2018-01-02 04:00:00   2018-01-02 04:24:00   \n",
              "3             Bogota       2018-01-02 05:40:00   2018-01-02 06:07:00   \n",
              "4             Bogota       2018-01-02 06:30:00   2018-01-02 06:44:00   \n",
              "\n",
              "  arrival_location arrival_time_programmed arrival_time_actual  \\\n",
              "0         Medellin     2018-01-02 03:30:00 2018-01-02 01:44:00   \n",
              "1         Medellin     2018-01-02 11:40:00 2018-01-02 15:18:00   \n",
              "2         Medellin     2018-01-02 14:00:00 2018-01-02 16:33:00   \n",
              "3         Medellin     2018-01-02 15:40:00 2018-01-02 17:54:00   \n",
              "4         Medellin     2018-01-02 16:30:00 2018-01-02 18:06:00   \n",
              "\n",
              "   depart_rainfall depart_temp  arrive_rainfall arrive_temp  \n",
              "0              NaN          56              NaN          72  \n",
              "1             0.02          54              NaN          72  \n",
              "2             0.02          54              NaN          72  \n",
              "3             0.02          54              NaN          72  \n",
              "4             0.02          54              NaN          72  "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "Company 9 On Route 2932 (6286 total entries):\n"
          ],
          "name": "stdout"
        },
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              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 04:00:00</td>\n",
              "      <td>2018-01-02 04:12:00</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6351</th>\n",
              "      <td>2</td>\n",
              "      <td>3445.0</td>\n",
              "      <td>3745.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.72</td>\n",
              "      <td>40381.0</td>\n",
              "      <td>32716.0</td>\n",
              "      <td>471793.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 06:30:00</td>\n",
              "      <td>2018-01-02 07:06:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 16:30:00</td>\n",
              "      <td>2018-01-02 18:30:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6352</th>\n",
              "      <td>3</td>\n",
              "      <td>3793.0</td>\n",
              "      <td>3750.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>44.81</td>\n",
              "      <td>36352.0</td>\n",
              "      <td>31600.0</td>\n",
              "      <td>488084.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 09:45:00</td>\n",
              "      <td>2018-01-02 10:19:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-02 19:45:00</td>\n",
              "      <td>2018-01-02 20:41:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6353</th>\n",
              "      <td>4</td>\n",
              "      <td>5221.0</td>\n",
              "      <td>3685.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.12</td>\n",
              "      <td>38162.0</td>\n",
              "      <td>30690.0</td>\n",
              "      <td>471535.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-02 15:00:00</td>\n",
              "      <td>2018-01-02 15:43:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-03 01:00:00</td>\n",
              "      <td>2018-01-03 02:34:00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6349      0     4776.0      3697.0                              0.0   \n",
              "6350      1     3703.0      3651.0                              0.0   \n",
              "6351      2     3445.0      3745.0                              0.0   \n",
              "6352      3     3793.0      3750.0                              0.0   \n",
              "6353      4     5221.0      3685.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6349                         0.0                   0.0               48.46   \n",
              "6350                         0.0                   0.0               47.48   \n",
              "6351                         0.0                   0.0               45.72   \n",
              "6352                         0.0                   0.0               44.81   \n",
              "6353                         0.0                   0.0               48.12   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6349             33660.0           29922.0             469358.0   \n",
              "6350             37560.0           31777.0             498262.0   \n",
              "6351             40381.0           32716.0             471793.0   \n",
              "6352             36352.0           31600.0             488084.0   \n",
              "6353             38162.0           30690.0             471535.0   \n",
              "\n",
              "     departure_location departure_time_programmed departure_time_actual  \\\n",
              "6349           Medellin       2018-01-02 01:40:00   2018-01-02 02:05:00   \n",
              "6350           Medellin       2018-01-02 04:00:00   2018-01-02 04:12:00   \n",
              "6351           Medellin       2018-01-02 06:30:00   2018-01-02 07:06:00   \n",
              "6352           Medellin       2018-01-02 09:45:00   2018-01-02 10:19:00   \n",
              "6353           Medellin       2018-01-02 15:00:00   2018-01-02 15:43:00   \n",
              "\n",
              "     arrival_location arrival_time_programmed arrival_time_actual  \\\n",
              "6349           Bogota     2018-01-02 11:40:00 2018-01-02 12:23:00   \n",
              "6350           Bogota     2018-01-02 14:00:00 2018-01-02 14:47:00   \n",
              "6351           Bogota     2018-01-02 16:30:00 2018-01-02 18:30:00   \n",
              "6352           Bogota     2018-01-02 19:45:00 2018-01-02 20:41:00   \n",
              "6353           Bogota     2018-01-03 01:00:00 2018-01-03 02:34:00   \n",
              "\n",
              "      depart_rainfall depart_temp  arrive_rainfall arrive_temp  \n",
              "6349              NaN          75              0.0          58  \n",
              "6350              NaN          75              0.0          58  \n",
              "6351              NaN          75              0.0          58  \n",
              "6352              NaN          75              0.0          58  \n",
              "6353              NaN          75              0.0          58  "
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JW0J4x5v-R9O",
        "colab_type": "text"
      },
      "source": [
        "# **Converting Timestamps**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rrt30T8bKcj0",
        "colab_type": "code",
        "outputId": "46eac137-9e05-4f9b-d481-c1a9396e7a4d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Convert timestamps to four new columns:\n",
        "  • datetime object\n",
        "  • time of day (# of seconds since day started)\n",
        "  • day of week (Mon = 0, Sun = 6)\n",
        "  • month of year (Jan = 1, Dec = 12)\n",
        "\n",
        "  This is important because we want to see the best day/time combinations for leaving,\n",
        "  but these may change throughout the year.\n",
        "'''\n",
        "\n",
        "# Convert timestamps to datetime\n",
        "for id_company in company_dataframes.keys():\n",
        "  company_data = company_dataframes[id_company]\n",
        "\n",
        "  for id_route in company_data.keys():\n",
        "    route_data = company_data[id_route]\n",
        "\n",
        "    route_data[\n",
        "      [\n",
        "       'departure_time_programmed',\n",
        "       'departure_time_actual',\n",
        "       'arrival_time_programmed',\n",
        "       'arrival_time_actual'\n",
        "      ]\n",
        "    ] = route_data[\n",
        "      [\n",
        "       'departure_time_programmed',\n",
        "       'departure_time_actual',\n",
        "       'arrival_time_programmed',\n",
        "       'arrival_time_actual'\n",
        "      ]\n",
        "    ].apply(pd.to_datetime, errors='coerce') # 'coerce' causes invalid timestamps to be converted to NaT\n",
        "    route_data = route_data.dropna()\n",
        "    company_dataframes[id_company][id_route] = route_data\n",
        "\n",
        "# Add the remaining columns using the datetime object\n",
        "for id_company in company_dataframes.keys():\n",
        "  company_data = company_dataframes[id_company]\n",
        "\n",
        "  for id_route in company_data.keys():\n",
        "    route_data = company_data[id_route]\n",
        "\n",
        "    route_data['departure_time_programmed_timeofday'] = route_data['departure_time_programmed'].apply(lambda dt: dt.time().hour * 3600 + dt.time().minute * 60 + dt.time().second)\n",
        "    route_data['departure_time_programmed_weekday'] = route_data['departure_time_programmed'].apply(lambda dt: dt.dayofweek)\n",
        "    route_data['departure_time_programmed_month'] = route_data['departure_time_programmed'].apply(lambda dt: dt.month)\n",
        "    route_data['departure_time_actual_timeofday'] = route_data['departure_time_actual'].apply(lambda dt: dt.time().hour * 3600 + dt.time().minute * 60 + dt.time().second)\n",
        "    route_data['departure_time_actual_weekday'] = route_data['departure_time_actual'].apply(lambda dt: dt.dayofweek)\n",
        "    route_data['departure_time_actual_month'] = route_data['departure_time_actual'].apply(lambda dt: dt.month)\n",
        "    route_data['arrival_time_programmed_timeofday'] = route_data['arrival_time_programmed'].apply(lambda dt: dt.time().hour * 3600 + dt.time().minute * 60 + dt.time().second)\n",
        "    route_data['arrival_time_programmed_weekday'] = route_data['arrival_time_programmed'].apply(lambda dt: dt.dayofweek)\n",
        "    route_data['arrival_time_programmed_month'] = route_data['arrival_time_programmed'].apply(lambda dt: dt.month)\n",
        "    route_data['arrival_time_actual_timeofday'] = route_data['arrival_time_actual'].apply(lambda dt: dt.time().hour * 3600 + dt.time().minute * 60 + dt.time().second)\n",
        "    route_data['arrival_time_actual_weekday'] = route_data['arrival_time_actual'].apply(lambda dt: dt.dayofweek)\n",
        "    route_data['arrival_time_actual_month'] = route_data['arrival_time_actual'].apply(lambda dt: dt.month)\n",
        "\n",
        "    print(\"Company {} Route {}:\".format(int(id_company), int(id_route)))\n",
        "    company_dataframes[id_company][id_route] = route_data\n",
        "    display(company_dataframes[id_company][id_route])\n",
        "    print(\"\\n\\n\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Company 9 Route 2857:\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "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>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>departure_time_actual_timeofday</th>\n",
              "      <th>departure_time_actual_weekday</th>\n",
              "      <th>departure_time_actual_month</th>\n",
              "      <th>arrival_time_programmed_timeofday</th>\n",
              "      <th>arrival_time_programmed_weekday</th>\n",
              "      <th>arrival_time_programmed_month</th>\n",
              "      <th>arrival_time_actual_timeofday</th>\n",
              "      <th>arrival_time_actual_weekday</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>285</td>\n",
              "      <td>3625.0</td>\n",
              "      <td>3681.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>49.06</td>\n",
              "      <td>32880.0</td>\n",
              "      <td>28901.0</td>\n",
              "      <td>423428.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:00:00</td>\n",
              "      <td>2018-01-26 15:23:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:47:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>54000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>55380</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2820</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>273</th>\n",
              "      <td>286</td>\n",
              "      <td>3744.0</td>\n",
              "      <td>3743.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.58</td>\n",
              "      <td>34380.0</td>\n",
              "      <td>21573.0</td>\n",
              "      <td>463479.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:01:00</td>\n",
              "      <td>2018-01-26 15:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:59:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>54060</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>55260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>3540</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>287</td>\n",
              "      <td>5185.0</td>\n",
              "      <td>3716.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.74</td>\n",
              "      <td>30600.0</td>\n",
              "      <td>28400.0</td>\n",
              "      <td>428004.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:00:00</td>\n",
              "      <td>2018-01-26 17:17:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:00:00</td>\n",
              "      <td>2018-01-27 01:56:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>61200</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>62220</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>10800</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>6960</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>275</th>\n",
              "      <td>288</td>\n",
              "      <td>3624.0</td>\n",
              "      <td>3748.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>53.16</td>\n",
              "      <td>31800.0</td>\n",
              "      <td>28363.0</td>\n",
              "      <td>426012.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:01:00</td>\n",
              "      <td>2018-01-26 17:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:01:00</td>\n",
              "      <td>2018-01-27 02:24:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>61260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>62460</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>10860</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>8640</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>289</td>\n",
              "      <td>5271.0</td>\n",
              "      <td>3733.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.19</td>\n",
              "      <td>29044.0</td>\n",
              "      <td>26950.0</td>\n",
              "      <td>435228.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:45:00</td>\n",
              "      <td>2018-01-26 18:05:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:45:00</td>\n",
              "      <td>2018-01-27 02:31:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>63900</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>65100</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>13500</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>9060</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6299</th>\n",
              "      <td>6787</td>\n",
              "      <td>6440.0</td>\n",
              "      <td>3628.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>41.93</td>\n",
              "      <td>41880.0</td>\n",
              "      <td>34034.0</td>\n",
              "      <td>423314.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-26 05:40:00</td>\n",
              "      <td>2019-12-26 06:03:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-26 15:40:00</td>\n",
              "      <td>2019-12-26 17:49:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>59</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>20400</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>21780</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>56400</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>64140</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6300</th>\n",
              "      <td>6788</td>\n",
              "      <td>3396.0</td>\n",
              "      <td>3590.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>43.55</td>\n",
              "      <td>42900.0</td>\n",
              "      <td>33776.0</td>\n",
              "      <td>425555.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-26 06:30:00</td>\n",
              "      <td>2019-12-26 06:53:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-26 16:30:00</td>\n",
              "      <td>2019-12-26 19:35:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>59</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>23400</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>24780</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>59400</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>70500</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6301</th>\n",
              "      <td>6789</td>\n",
              "      <td>5571.0</td>\n",
              "      <td>3620.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>46.10</td>\n",
              "      <td>40200.0</td>\n",
              "      <td>32161.0</td>\n",
              "      <td>429062.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-26 09:45:00</td>\n",
              "      <td>2019-12-26 10:01:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-26 19:45:00</td>\n",
              "      <td>2019-12-26 21:17:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>59</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>35100</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>36060</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>71100</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>76620</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6302</th>\n",
              "      <td>6790</td>\n",
              "      <td>3690.0</td>\n",
              "      <td>4792.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>47.29</td>\n",
              "      <td>35880.0</td>\n",
              "      <td>29284.0</td>\n",
              "      <td>411405.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-26 15:00:00</td>\n",
              "      <td>2019-12-26 15:56:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-27 01:00:00</td>\n",
              "      <td>2019-12-27 02:01:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>54000</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>57360</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>3600</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>7260</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6303</th>\n",
              "      <td>6792</td>\n",
              "      <td>3417.0</td>\n",
              "      <td>3307.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>46.58</td>\n",
              "      <td>32220.0</td>\n",
              "      <td>30370.0</td>\n",
              "      <td>412169.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-26 17:01:00</td>\n",
              "      <td>2019-12-26 17:36:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-27 03:01:00</td>\n",
              "      <td>2019-12-27 02:37:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>61260</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>63360</td>\n",
              "      <td>3</td>\n",
              "      <td>12</td>\n",
              "      <td>10860</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>9420</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3732 rows × 32 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "272     285     3625.0      3681.0                              4.0   \n",
              "273     286     3744.0      3743.0                              0.0   \n",
              "274     287     5185.0      3716.0                              0.0   \n",
              "275     288     3624.0      3748.0                              0.0   \n",
              "276     289     5271.0      3733.0                              0.0   \n",
              "...     ...        ...         ...                              ...   \n",
              "6299   6787     6440.0      3628.0                              1.0   \n",
              "6300   6788     3396.0      3590.0                              0.0   \n",
              "6301   6789     5571.0      3620.0                              0.0   \n",
              "6302   6790     3690.0      4792.0                              0.0   \n",
              "6303   6792     3417.0      3307.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "272                          1.0                   1.0               49.06   \n",
              "273                          0.0                   0.0               48.58   \n",
              "274                          1.0                   0.0               52.74   \n",
              "275                          0.0                   4.0               53.16   \n",
              "276                          0.0                   0.0               54.19   \n",
              "...                          ...                   ...                 ...   \n",
              "6299                         0.0                   0.0               41.93   \n",
              "6300                         0.0                   0.0               43.55   \n",
              "6301                         0.0                   0.0               46.10   \n",
              "6302                         0.0                   0.0               47.29   \n",
              "6303                         0.0                   1.0               46.58   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "272              32880.0           28901.0             423428.0   \n",
              "273              34380.0           21573.0             463479.0   \n",
              "274              30600.0           28400.0             428004.0   \n",
              "275              31800.0           28363.0             426012.0   \n",
              "276              29044.0           26950.0             435228.0   \n",
              "...                  ...               ...                  ...   \n",
              "6299             41880.0           34034.0             423314.0   \n",
              "6300             42900.0           33776.0             425555.0   \n",
              "6301             40200.0           32161.0             429062.0   \n",
              "6302             35880.0           29284.0             411405.0   \n",
              "6303             32220.0           30370.0             412169.0   \n",
              "\n",
              "     departure_location departure_time_programmed departure_time_actual  \\\n",
              "272              Bogota       2018-01-26 15:00:00   2018-01-26 15:23:00   \n",
              "273              Bogota       2018-01-26 15:01:00   2018-01-26 15:21:00   \n",
              "274              Bogota       2018-01-26 17:00:00   2018-01-26 17:17:00   \n",
              "275              Bogota       2018-01-26 17:01:00   2018-01-26 17:21:00   \n",
              "276              Bogota       2018-01-26 17:45:00   2018-01-26 18:05:00   \n",
              "...                 ...                       ...                   ...   \n",
              "6299             Bogota       2019-12-26 05:40:00   2019-12-26 06:03:00   \n",
              "6300             Bogota       2019-12-26 06:30:00   2019-12-26 06:53:00   \n",
              "6301             Bogota       2019-12-26 09:45:00   2019-12-26 10:01:00   \n",
              "6302             Bogota       2019-12-26 15:00:00   2019-12-26 15:56:00   \n",
              "6303             Bogota       2019-12-26 17:01:00   2019-12-26 17:36:00   \n",
              "\n",
              "     arrival_location arrival_time_programmed arrival_time_actual  \\\n",
              "272          Medellin     2018-01-27 01:00:00 2018-01-27 00:47:00   \n",
              "273          Medellin     2018-01-27 01:00:00 2018-01-27 00:59:00   \n",
              "274          Medellin     2018-01-27 03:00:00 2018-01-27 01:56:00   \n",
              "275          Medellin     2018-01-27 03:01:00 2018-01-27 02:24:00   \n",
              "276          Medellin     2018-01-27 03:45:00 2018-01-27 02:31:00   \n",
              "...               ...                     ...                 ...   \n",
              "6299         Medellin     2019-12-26 15:40:00 2019-12-26 17:49:00   \n",
              "6300         Medellin     2019-12-26 16:30:00 2019-12-26 19:35:00   \n",
              "6301         Medellin     2019-12-26 19:45:00 2019-12-26 21:17:00   \n",
              "6302         Medellin     2019-12-27 01:00:00 2019-12-27 02:01:00   \n",
              "6303         Medellin     2019-12-27 03:01:00 2019-12-27 02:37:00   \n",
              "\n",
              "      depart_rainfall depart_temp  arrive_rainfall arrive_temp  \\\n",
              "272               0.0          55             0.08          75   \n",
              "273               0.0          55             0.08          75   \n",
              "274               0.0          55             0.08          75   \n",
              "275               0.0          55             0.08          75   \n",
              "276               0.0          55             0.08          75   \n",
              "...               ...         ...              ...         ...   \n",
              "6299              0.0          59             0.35          70   \n",
              "6300              0.0          59             0.35          70   \n",
              "6301              0.0          59             0.35          70   \n",
              "6302              0.0          58             0.35          70   \n",
              "6303              0.0          58             0.35          70   \n",
              "\n",
              "      departure_time_programmed_timeofday  departure_time_programmed_weekday  \\\n",
              "272                                 54000                                  4   \n",
              "273                                 54060                                  4   \n",
              "274                                 61200                                  4   \n",
              "275                                 61260                                  4   \n",
              "276                                 63900                                  4   \n",
              "...                                   ...                                ...   \n",
              "6299                                20400                                  3   \n",
              "6300                                23400                                  3   \n",
              "6301                                35100                                  3   \n",
              "6302                                54000                                  3   \n",
              "6303                                61260                                  3   \n",
              "\n",
              "      departure_time_programmed_month  departure_time_actual_timeofday  \\\n",
              "272                                 1                            55380   \n",
              "273                                 1                            55260   \n",
              "274                                 1                            62220   \n",
              "275                                 1                            62460   \n",
              "276                                 1                            65100   \n",
              "...                               ...                              ...   \n",
              "6299                               12                            21780   \n",
              "6300                               12                            24780   \n",
              "6301                               12                            36060   \n",
              "6302                               12                            57360   \n",
              "6303                               12                            63360   \n",
              "\n",
              "      departure_time_actual_weekday  departure_time_actual_month  \\\n",
              "272                               4                            1   \n",
              "273                               4                            1   \n",
              "274                               4                            1   \n",
              "275                               4                            1   \n",
              "276                               4                            1   \n",
              "...                             ...                          ...   \n",
              "6299                              3                           12   \n",
              "6300                              3                           12   \n",
              "6301                              3                           12   \n",
              "6302                              3                           12   \n",
              "6303                              3                           12   \n",
              "\n",
              "      arrival_time_programmed_timeofday  arrival_time_programmed_weekday  \\\n",
              "272                                3600                                5   \n",
              "273                                3600                                5   \n",
              "274                               10800                                5   \n",
              "275                               10860                                5   \n",
              "276                               13500                                5   \n",
              "...                                 ...                              ...   \n",
              "6299                              56400                                3   \n",
              "6300                              59400                                3   \n",
              "6301                              71100                                3   \n",
              "6302                               3600                                4   \n",
              "6303                              10860                                4   \n",
              "\n",
              "      arrival_time_programmed_month  arrival_time_actual_timeofday  \\\n",
              "272                               1                           2820   \n",
              "273                               1                           3540   \n",
              "274                               1                           6960   \n",
              "275                               1                           8640   \n",
              "276                               1                           9060   \n",
              "...                             ...                            ...   \n",
              "6299                             12                          64140   \n",
              "6300                             12                          70500   \n",
              "6301                             12                          76620   \n",
              "6302                             12                           7260   \n",
              "6303                             12                           9420   \n",
              "\n",
              "      arrival_time_actual_weekday  arrival_time_actual_month  \n",
              "272                             5                          1  \n",
              "273                             5                          1  \n",
              "274                             5                          1  \n",
              "275                             5                          1  \n",
              "276                             5                          1  \n",
              "...                           ...                        ...  \n",
              "6299                            3                         12  \n",
              "6300                            3                         12  \n",
              "6301                            3                         12  \n",
              "6302                            4                         12  \n",
              "6303                            4                         12  \n",
              "\n",
              "[3732 rows x 32 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Company 9 Route 2932:\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>departure_time_actual_timeofday</th>\n",
              "      <th>departure_time_actual_weekday</th>\n",
              "      <th>departure_time_actual_month</th>\n",
              "      <th>arrival_time_programmed_timeofday</th>\n",
              "      <th>arrival_time_programmed_weekday</th>\n",
              "      <th>arrival_time_programmed_month</th>\n",
              "      <th>arrival_time_actual_timeofday</th>\n",
              "      <th>arrival_time_actual_weekday</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6571</th>\n",
              "      <td>235</td>\n",
              "      <td>3472.0</td>\n",
              "      <td>3597.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>50.39</td>\n",
              "      <td>34020.0</td>\n",
              "      <td>24210.0</td>\n",
              "      <td>552891.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 05:40:00</td>\n",
              "      <td>2018-01-23 06:01:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:40:00</td>\n",
              "      <td>2018-01-23 15:46:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>20400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>21660</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>56760</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6572</th>\n",
              "      <td>236</td>\n",
              "      <td>3843.0</td>\n",
              "      <td>3747.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49.14</td>\n",
              "      <td>31980.0</td>\n",
              "      <td>29505.0</td>\n",
              "      <td>448275.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 06:30:00</td>\n",
              "      <td>2018-01-23 07:00:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:30:00</td>\n",
              "      <td>2018-01-23 16:57:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>23400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>25200</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>59400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>61020</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6573</th>\n",
              "      <td>237</td>\n",
              "      <td>3523.0</td>\n",
              "      <td>3742.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>51.64</td>\n",
              "      <td>33840.0</td>\n",
              "      <td>28815.0</td>\n",
              "      <td>484459.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 09:45:00</td>\n",
              "      <td>2018-01-23 10:04:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 19:45:00</td>\n",
              "      <td>2018-01-23 19:43:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>35100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>36240</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>71100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>70980</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6574</th>\n",
              "      <td>238</td>\n",
              "      <td>5533.0</td>\n",
              "      <td>3679.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>48.84</td>\n",
              "      <td>34200.0</td>\n",
              "      <td>30066.0</td>\n",
              "      <td>452579.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:00:00</td>\n",
              "      <td>2018-01-23 15:22:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:00:00</td>\n",
              "      <td>2018-01-24 01:03:00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55320</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3780</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6575</th>\n",
              "      <td>239</td>\n",
              "      <td>3468.0</td>\n",
              "      <td>4083.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.05</td>\n",
              "      <td>28740.0</td>\n",
              "      <td>27632.0</td>\n",
              "      <td>441809.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:01:00</td>\n",
              "      <td>2018-01-23 15:21:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:01:00</td>\n",
              "      <td>2018-01-24 00:13:00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>54060</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55260</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3660</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>780</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12538</th>\n",
              "      <td>6800</td>\n",
              "      <td>5268.0</td>\n",
              "      <td>3714.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>43.84</td>\n",
              "      <td>41460.0</td>\n",
              "      <td>30216.0</td>\n",
              "      <td>413316.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-20 15:02:00</td>\n",
              "      <td>2019-12-20 14:09:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-21 01:17:00</td>\n",
              "      <td>2019-12-21 01:55:00</td>\n",
              "      <td>0.35</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>54120</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>50940</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>4620</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "      <td>6900</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12539</th>\n",
              "      <td>6801</td>\n",
              "      <td>7062.0</td>\n",
              "      <td>5190.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>42.44</td>\n",
              "      <td>36781.0</td>\n",
              "      <td>31588.0</td>\n",
              "      <td>391387.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-20 17:00:00</td>\n",
              "      <td>2019-12-20 17:35:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-21 01:00:00</td>\n",
              "      <td>2019-12-21 03:57:00</td>\n",
              "      <td>0.35</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>61200</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>63300</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>3600</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "      <td>14220</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12540</th>\n",
              "      <td>6802</td>\n",
              "      <td>3718.0</td>\n",
              "      <td>3922.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>43.11</td>\n",
              "      <td>39780.0</td>\n",
              "      <td>31674.0</td>\n",
              "      <td>415848.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-20 17:01:00</td>\n",
              "      <td>2019-12-20 15:48:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-21 03:01:00</td>\n",
              "      <td>2019-12-21 03:24:00</td>\n",
              "      <td>0.35</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>61260</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>56880</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>10860</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "      <td>12240</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12541</th>\n",
              "      <td>6803</td>\n",
              "      <td>14546.0</td>\n",
              "      <td>3693.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>46.29</td>\n",
              "      <td>40320.0</td>\n",
              "      <td>34208.0</td>\n",
              "      <td>430617.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-20 17:02:00</td>\n",
              "      <td>2019-12-20 17:33:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-21 03:17:00</td>\n",
              "      <td>2019-12-21 04:47:00</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>61320</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>63180</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>11820</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "      <td>17220</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12542</th>\n",
              "      <td>6804</td>\n",
              "      <td>3711.0</td>\n",
              "      <td>4076.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>46.27</td>\n",
              "      <td>34033.0</td>\n",
              "      <td>30443.0</td>\n",
              "      <td>417437.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2019-12-20 17:45:00</td>\n",
              "      <td>2019-12-20 18:26:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2019-12-21 03:45:00</td>\n",
              "      <td>2019-12-21 03:57:00</td>\n",
              "      <td>0.35</td>\n",
              "      <td>70</td>\n",
              "      <td>0.0</td>\n",
              "      <td>58</td>\n",
              "      <td>63900</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>66360</td>\n",
              "      <td>4</td>\n",
              "      <td>12</td>\n",
              "      <td>13500</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "      <td>14220</td>\n",
              "      <td>5</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3644 rows × 32 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6571     235     3472.0      3597.0                              0.0   \n",
              "6572     236     3843.0      3747.0                              0.0   \n",
              "6573     237     3523.0      3742.0                              1.0   \n",
              "6574     238     5533.0      3679.0                              1.0   \n",
              "6575     239     3468.0      4083.0                              0.0   \n",
              "...      ...        ...         ...                              ...   \n",
              "12538   6800     5268.0      3714.0                              0.0   \n",
              "12539   6801     7062.0      5190.0                              0.0   \n",
              "12540   6802     3718.0      3922.0                              2.0   \n",
              "12541   6803    14546.0      3693.0                              1.0   \n",
              "12542   6804     3711.0      4076.0                              0.0   \n",
              "\n",
              "       infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6571                          0.0                   1.0               50.39   \n",
              "6572                          0.0                   0.0               49.14   \n",
              "6573                          0.0                   1.0               51.64   \n",
              "6574                          1.0                   1.0               48.84   \n",
              "6575                          2.0                   0.0               52.05   \n",
              "...                           ...                   ...                 ...   \n",
              "12538                         1.0                   0.0               43.84   \n",
              "12539                         0.0                   0.0               42.44   \n",
              "12540                         2.0                   0.0               43.11   \n",
              "12541                         0.0                   0.0               46.29   \n",
              "12542                         0.0                   0.0               46.27   \n",
              "\n",
              "       data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6571              34020.0           24210.0             552891.0   \n",
              "6572              31980.0           29505.0             448275.0   \n",
              "6573              33840.0           28815.0             484459.0   \n",
              "6574              34200.0           30066.0             452579.0   \n",
              "6575              28740.0           27632.0             441809.0   \n",
              "...                   ...               ...                  ...   \n",
              "12538             41460.0           30216.0             413316.0   \n",
              "12539             36781.0           31588.0             391387.0   \n",
              "12540             39780.0           31674.0             415848.0   \n",
              "12541             40320.0           34208.0             430617.0   \n",
              "12542             34033.0           30443.0             417437.0   \n",
              "\n",
              "      departure_location departure_time_programmed departure_time_actual  \\\n",
              "6571            Medellin       2018-01-23 05:40:00   2018-01-23 06:01:00   \n",
              "6572            Medellin       2018-01-23 06:30:00   2018-01-23 07:00:00   \n",
              "6573            Medellin       2018-01-23 09:45:00   2018-01-23 10:04:00   \n",
              "6574            Medellin       2018-01-23 15:00:00   2018-01-23 15:22:00   \n",
              "6575            Medellin       2018-01-23 15:01:00   2018-01-23 15:21:00   \n",
              "...                  ...                       ...                   ...   \n",
              "12538           Medellin       2019-12-20 15:02:00   2019-12-20 14:09:00   \n",
              "12539           Medellin       2019-12-20 17:00:00   2019-12-20 17:35:00   \n",
              "12540           Medellin       2019-12-20 17:01:00   2019-12-20 15:48:00   \n",
              "12541           Medellin       2019-12-20 17:02:00   2019-12-20 17:33:00   \n",
              "12542           Medellin       2019-12-20 17:45:00   2019-12-20 18:26:00   \n",
              "\n",
              "      arrival_location arrival_time_programmed arrival_time_actual  \\\n",
              "6571            Bogota     2018-01-23 16:40:00 2018-01-23 15:46:00   \n",
              "6572            Bogota     2018-01-23 16:30:00 2018-01-23 16:57:00   \n",
              "6573            Bogota     2018-01-23 19:45:00 2018-01-23 19:43:00   \n",
              "6574            Bogota     2018-01-24 01:00:00 2018-01-24 01:03:00   \n",
              "6575            Bogota     2018-01-24 01:01:00 2018-01-24 00:13:00   \n",
              "...                ...                     ...                 ...   \n",
              "12538           Bogota     2019-12-21 01:17:00 2019-12-21 01:55:00   \n",
              "12539           Bogota     2019-12-21 01:00:00 2019-12-21 03:57:00   \n",
              "12540           Bogota     2019-12-21 03:01:00 2019-12-21 03:24:00   \n",
              "12541           Bogota     2019-12-21 03:17:00 2019-12-21 04:47:00   \n",
              "12542           Bogota     2019-12-21 03:45:00 2019-12-21 03:57:00   \n",
              "\n",
              "       depart_rainfall depart_temp  arrive_rainfall arrive_temp  \\\n",
              "6571              0.08          75              0.0          57   \n",
              "6572              0.08          75              0.0          57   \n",
              "6573              0.08          75              0.0          57   \n",
              "6574              0.00          74              0.0          57   \n",
              "6575              0.00          74              0.0          57   \n",
              "...                ...         ...              ...         ...   \n",
              "12538             0.35          74              0.0          58   \n",
              "12539             0.35          74              0.0          58   \n",
              "12540             0.35          74              0.0          58   \n",
              "12541             0.35          70              0.0          58   \n",
              "12542             0.35          70              0.0          58   \n",
              "\n",
              "       departure_time_programmed_timeofday  departure_time_programmed_weekday  \\\n",
              "6571                                 20400                                  1   \n",
              "6572                                 23400                                  1   \n",
              "6573                                 35100                                  1   \n",
              "6574                                 54000                                  1   \n",
              "6575                                 54060                                  1   \n",
              "...                                    ...                                ...   \n",
              "12538                                54120                                  4   \n",
              "12539                                61200                                  4   \n",
              "12540                                61260                                  4   \n",
              "12541                                61320                                  4   \n",
              "12542                                63900                                  4   \n",
              "\n",
              "       departure_time_programmed_month  departure_time_actual_timeofday  \\\n",
              "6571                                 1                            21660   \n",
              "6572                                 1                            25200   \n",
              "6573                                 1                            36240   \n",
              "6574                                 1                            55320   \n",
              "6575                                 1                            55260   \n",
              "...                                ...                              ...   \n",
              "12538                               12                            50940   \n",
              "12539                               12                            63300   \n",
              "12540                               12                            56880   \n",
              "12541                               12                            63180   \n",
              "12542                               12                            66360   \n",
              "\n",
              "       departure_time_actual_weekday  departure_time_actual_month  \\\n",
              "6571                               1                            1   \n",
              "6572                               1                            1   \n",
              "6573                               1                            1   \n",
              "6574                               1                            1   \n",
              "6575                               1                            1   \n",
              "...                              ...                          ...   \n",
              "12538                              4                           12   \n",
              "12539                              4                           12   \n",
              "12540                              4                           12   \n",
              "12541                              4                           12   \n",
              "12542                              4                           12   \n",
              "\n",
              "       arrival_time_programmed_timeofday  arrival_time_programmed_weekday  \\\n",
              "6571                               60000                                1   \n",
              "6572                               59400                                1   \n",
              "6573                               71100                                1   \n",
              "6574                                3600                                2   \n",
              "6575                                3660                                2   \n",
              "...                                  ...                              ...   \n",
              "12538                               4620                                5   \n",
              "12539                               3600                                5   \n",
              "12540                              10860                                5   \n",
              "12541                              11820                                5   \n",
              "12542                              13500                                5   \n",
              "\n",
              "       arrival_time_programmed_month  arrival_time_actual_timeofday  \\\n",
              "6571                               1                          56760   \n",
              "6572                               1                          61020   \n",
              "6573                               1                          70980   \n",
              "6574                               1                           3780   \n",
              "6575                               1                            780   \n",
              "...                              ...                            ...   \n",
              "12538                             12                           6900   \n",
              "12539                             12                          14220   \n",
              "12540                             12                          12240   \n",
              "12541                             12                          17220   \n",
              "12542                             12                          14220   \n",
              "\n",
              "       arrival_time_actual_weekday  arrival_time_actual_month  \n",
              "6571                             1                          1  \n",
              "6572                             1                          1  \n",
              "6573                             1                          1  \n",
              "6574                             2                          1  \n",
              "6575                             2                          1  \n",
              "...                            ...                        ...  \n",
              "12538                            5                         12  \n",
              "12539                            5                         12  \n",
              "12540                            5                         12  \n",
              "12541                            5                         12  \n",
              "12542                            5                         12  \n",
              "\n",
              "[3644 rows x 32 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qvHh6nI2Was1",
        "colab_type": "code",
        "outputId": "04e42745-f568-45db-e8cb-3f1934d10e91",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Add two new columns after data_moving_time\n",
        "  • data_total_time_programmed\n",
        "  • data_total_time_actual\n",
        "'''\n",
        "\n",
        "for id_company in company_dataframes.keys():\n",
        "  company_data = company_dataframes[id_company]\n",
        "\n",
        "  for id_route in company_data.keys():\n",
        "    route_data = company_data[id_route]\n",
        "\n",
        "    route_data.insert(10, 'data_total_time_programmed', (route_data['arrival_time_programmed'] - route_data['departure_time_programmed']).apply(lambda td: td.total_seconds()))\n",
        "    route_data.insert(11, 'data_total_time_actual', (route_data['arrival_time_actual'] - route_data['departure_time_actual']).apply(lambda td: td.total_seconds()))\n",
        "\n",
        "    print(\"Company {} Route {} ({} total entries):\".format(int(id_company), int(id_route), len(route_data)))\n",
        "    company_dataframes[id_company][id_route] = route_data\n",
        "    display(company_dataframes[id_company][id_route].head())\n",
        "    print(\"\\n\\n\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Company 9 Route 2857 (3732 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
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              "\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>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>departure_time_actual_timeofday</th>\n",
              "      <th>departure_time_actual_weekday</th>\n",
              "      <th>departure_time_actual_month</th>\n",
              "      <th>arrival_time_programmed_timeofday</th>\n",
              "      <th>arrival_time_programmed_weekday</th>\n",
              "      <th>arrival_time_programmed_month</th>\n",
              "      <th>arrival_time_actual_timeofday</th>\n",
              "      <th>arrival_time_actual_weekday</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>285</td>\n",
              "      <td>3625.0</td>\n",
              "      <td>3681.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>49.06</td>\n",
              "      <td>32880.0</td>\n",
              "      <td>28901.0</td>\n",
              "      <td>423428.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>33840.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:00:00</td>\n",
              "      <td>2018-01-26 15:23:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:47:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>54000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>55380</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>2820</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>273</th>\n",
              "      <td>286</td>\n",
              "      <td>3744.0</td>\n",
              "      <td>3743.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.58</td>\n",
              "      <td>34380.0</td>\n",
              "      <td>21573.0</td>\n",
              "      <td>463479.0</td>\n",
              "      <td>35940.0</td>\n",
              "      <td>34680.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:01:00</td>\n",
              "      <td>2018-01-26 15:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:59:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>54060</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>55260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>3540</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>287</td>\n",
              "      <td>5185.0</td>\n",
              "      <td>3716.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.74</td>\n",
              "      <td>30600.0</td>\n",
              "      <td>28400.0</td>\n",
              "      <td>428004.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31140.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:00:00</td>\n",
              "      <td>2018-01-26 17:17:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:00:00</td>\n",
              "      <td>2018-01-27 01:56:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>61200</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>62220</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>10800</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>6960</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>275</th>\n",
              "      <td>288</td>\n",
              "      <td>3624.0</td>\n",
              "      <td>3748.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>53.16</td>\n",
              "      <td>31800.0</td>\n",
              "      <td>28363.0</td>\n",
              "      <td>426012.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>32580.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:01:00</td>\n",
              "      <td>2018-01-26 17:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:01:00</td>\n",
              "      <td>2018-01-27 02:24:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>61260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>62460</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>10860</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>8640</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>289</td>\n",
              "      <td>5271.0</td>\n",
              "      <td>3733.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.19</td>\n",
              "      <td>29044.0</td>\n",
              "      <td>26950.0</td>\n",
              "      <td>435228.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>30360.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:45:00</td>\n",
              "      <td>2018-01-26 18:05:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:45:00</td>\n",
              "      <td>2018-01-27 02:31:00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>55</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>63900</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>65100</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>13500</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>9060</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "272    285     3625.0      3681.0                              4.0   \n",
              "273    286     3744.0      3743.0                              0.0   \n",
              "274    287     5185.0      3716.0                              0.0   \n",
              "275    288     3624.0      3748.0                              0.0   \n",
              "276    289     5271.0      3733.0                              0.0   \n",
              "\n",
              "     infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "272                         1.0                   1.0               49.06   \n",
              "273                         0.0                   0.0               48.58   \n",
              "274                         1.0                   0.0               52.74   \n",
              "275                         0.0                   4.0               53.16   \n",
              "276                         0.0                   0.0               54.19   \n",
              "\n",
              "     data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "272             32880.0           28901.0             423428.0   \n",
              "273             34380.0           21573.0             463479.0   \n",
              "274             30600.0           28400.0             428004.0   \n",
              "275             31800.0           28363.0             426012.0   \n",
              "276             29044.0           26950.0             435228.0   \n",
              "\n",
              "     data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "272                     36000.0                 33840.0             Bogota   \n",
              "273                     35940.0                 34680.0             Bogota   \n",
              "274                     36000.0                 31140.0             Bogota   \n",
              "275                     36000.0                 32580.0             Bogota   \n",
              "276                     36000.0                 30360.0             Bogota   \n",
              "\n",
              "    departure_time_programmed departure_time_actual arrival_location  \\\n",
              "272       2018-01-26 15:00:00   2018-01-26 15:23:00         Medellin   \n",
              "273       2018-01-26 15:01:00   2018-01-26 15:21:00         Medellin   \n",
              "274       2018-01-26 17:00:00   2018-01-26 17:17:00         Medellin   \n",
              "275       2018-01-26 17:01:00   2018-01-26 17:21:00         Medellin   \n",
              "276       2018-01-26 17:45:00   2018-01-26 18:05:00         Medellin   \n",
              "\n",
              "    arrival_time_programmed arrival_time_actual  depart_rainfall depart_temp  \\\n",
              "272     2018-01-27 01:00:00 2018-01-27 00:47:00              0.0          55   \n",
              "273     2018-01-27 01:00:00 2018-01-27 00:59:00              0.0          55   \n",
              "274     2018-01-27 03:00:00 2018-01-27 01:56:00              0.0          55   \n",
              "275     2018-01-27 03:01:00 2018-01-27 02:24:00              0.0          55   \n",
              "276     2018-01-27 03:45:00 2018-01-27 02:31:00              0.0          55   \n",
              "\n",
              "     arrive_rainfall arrive_temp  departure_time_programmed_timeofday  \\\n",
              "272             0.08          75                                54000   \n",
              "273             0.08          75                                54060   \n",
              "274             0.08          75                                61200   \n",
              "275             0.08          75                                61260   \n",
              "276             0.08          75                                63900   \n",
              "\n",
              "     departure_time_programmed_weekday  departure_time_programmed_month  \\\n",
              "272                                  4                                1   \n",
              "273                                  4                                1   \n",
              "274                                  4                                1   \n",
              "275                                  4                                1   \n",
              "276                                  4                                1   \n",
              "\n",
              "     departure_time_actual_timeofday  departure_time_actual_weekday  \\\n",
              "272                            55380                              4   \n",
              "273                            55260                              4   \n",
              "274                            62220                              4   \n",
              "275                            62460                              4   \n",
              "276                            65100                              4   \n",
              "\n",
              "     departure_time_actual_month  arrival_time_programmed_timeofday  \\\n",
              "272                            1                               3600   \n",
              "273                            1                               3600   \n",
              "274                            1                              10800   \n",
              "275                            1                              10860   \n",
              "276                            1                              13500   \n",
              "\n",
              "     arrival_time_programmed_weekday  arrival_time_programmed_month  \\\n",
              "272                                5                              1   \n",
              "273                                5                              1   \n",
              "274                                5                              1   \n",
              "275                                5                              1   \n",
              "276                                5                              1   \n",
              "\n",
              "     arrival_time_actual_timeofday  arrival_time_actual_weekday  \\\n",
              "272                           2820                            5   \n",
              "273                           3540                            5   \n",
              "274                           6960                            5   \n",
              "275                           8640                            5   \n",
              "276                           9060                            5   \n",
              "\n",
              "     arrival_time_actual_month  \n",
              "272                          1  \n",
              "273                          1  \n",
              "274                          1  \n",
              "275                          1  \n",
              "276                          1  "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Company 9 Route 2932 (3644 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
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              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>departure_time_actual_timeofday</th>\n",
              "      <th>departure_time_actual_weekday</th>\n",
              "      <th>departure_time_actual_month</th>\n",
              "      <th>arrival_time_programmed_timeofday</th>\n",
              "      <th>arrival_time_programmed_weekday</th>\n",
              "      <th>arrival_time_programmed_month</th>\n",
              "      <th>arrival_time_actual_timeofday</th>\n",
              "      <th>arrival_time_actual_weekday</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6571</th>\n",
              "      <td>235</td>\n",
              "      <td>3472.0</td>\n",
              "      <td>3597.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>50.39</td>\n",
              "      <td>34020.0</td>\n",
              "      <td>24210.0</td>\n",
              "      <td>552891.0</td>\n",
              "      <td>39600.0</td>\n",
              "      <td>35100.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 05:40:00</td>\n",
              "      <td>2018-01-23 06:01:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:40:00</td>\n",
              "      <td>2018-01-23 15:46:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>20400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>21660</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>60000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>56760</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6572</th>\n",
              "      <td>236</td>\n",
              "      <td>3843.0</td>\n",
              "      <td>3747.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49.14</td>\n",
              "      <td>31980.0</td>\n",
              "      <td>29505.0</td>\n",
              "      <td>448275.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>35820.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 06:30:00</td>\n",
              "      <td>2018-01-23 07:00:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:30:00</td>\n",
              "      <td>2018-01-23 16:57:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>23400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>25200</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>59400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>61020</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6573</th>\n",
              "      <td>237</td>\n",
              "      <td>3523.0</td>\n",
              "      <td>3742.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>51.64</td>\n",
              "      <td>33840.0</td>\n",
              "      <td>28815.0</td>\n",
              "      <td>484459.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34740.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 09:45:00</td>\n",
              "      <td>2018-01-23 10:04:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 19:45:00</td>\n",
              "      <td>2018-01-23 19:43:00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>75</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>35100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>36240</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>71100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>70980</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6574</th>\n",
              "      <td>238</td>\n",
              "      <td>5533.0</td>\n",
              "      <td>3679.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>48.84</td>\n",
              "      <td>34200.0</td>\n",
              "      <td>30066.0</td>\n",
              "      <td>452579.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34860.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:00:00</td>\n",
              "      <td>2018-01-23 15:22:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:00:00</td>\n",
              "      <td>2018-01-24 01:03:00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55320</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3600</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>3780</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6575</th>\n",
              "      <td>239</td>\n",
              "      <td>3468.0</td>\n",
              "      <td>4083.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.05</td>\n",
              "      <td>28740.0</td>\n",
              "      <td>27632.0</td>\n",
              "      <td>441809.0</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31920.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:01:00</td>\n",
              "      <td>2018-01-23 15:21:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:01:00</td>\n",
              "      <td>2018-01-24 00:13:00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>74</td>\n",
              "      <td>0.0</td>\n",
              "      <td>57</td>\n",
              "      <td>54060</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>55260</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>3660</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>780</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6571    235     3472.0      3597.0                              0.0   \n",
              "6572    236     3843.0      3747.0                              0.0   \n",
              "6573    237     3523.0      3742.0                              1.0   \n",
              "6574    238     5533.0      3679.0                              1.0   \n",
              "6575    239     3468.0      4083.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6571                         0.0                   1.0               50.39   \n",
              "6572                         0.0                   0.0               49.14   \n",
              "6573                         0.0                   1.0               51.64   \n",
              "6574                         1.0                   1.0               48.84   \n",
              "6575                         2.0                   0.0               52.05   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6571             34020.0           24210.0             552891.0   \n",
              "6572             31980.0           29505.0             448275.0   \n",
              "6573             33840.0           28815.0             484459.0   \n",
              "6574             34200.0           30066.0             452579.0   \n",
              "6575             28740.0           27632.0             441809.0   \n",
              "\n",
              "      data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "6571                     39600.0                 35100.0           Medellin   \n",
              "6572                     36000.0                 35820.0           Medellin   \n",
              "6573                     36000.0                 34740.0           Medellin   \n",
              "6574                     36000.0                 34860.0           Medellin   \n",
              "6575                     36000.0                 31920.0           Medellin   \n",
              "\n",
              "     departure_time_programmed departure_time_actual arrival_location  \\\n",
              "6571       2018-01-23 05:40:00   2018-01-23 06:01:00           Bogota   \n",
              "6572       2018-01-23 06:30:00   2018-01-23 07:00:00           Bogota   \n",
              "6573       2018-01-23 09:45:00   2018-01-23 10:04:00           Bogota   \n",
              "6574       2018-01-23 15:00:00   2018-01-23 15:22:00           Bogota   \n",
              "6575       2018-01-23 15:01:00   2018-01-23 15:21:00           Bogota   \n",
              "\n",
              "     arrival_time_programmed arrival_time_actual  depart_rainfall depart_temp  \\\n",
              "6571     2018-01-23 16:40:00 2018-01-23 15:46:00             0.08          75   \n",
              "6572     2018-01-23 16:30:00 2018-01-23 16:57:00             0.08          75   \n",
              "6573     2018-01-23 19:45:00 2018-01-23 19:43:00             0.08          75   \n",
              "6574     2018-01-24 01:00:00 2018-01-24 01:03:00             0.00          74   \n",
              "6575     2018-01-24 01:01:00 2018-01-24 00:13:00             0.00          74   \n",
              "\n",
              "      arrive_rainfall arrive_temp  departure_time_programmed_timeofday  \\\n",
              "6571              0.0          57                                20400   \n",
              "6572              0.0          57                                23400   \n",
              "6573              0.0          57                                35100   \n",
              "6574              0.0          57                                54000   \n",
              "6575              0.0          57                                54060   \n",
              "\n",
              "      departure_time_programmed_weekday  departure_time_programmed_month  \\\n",
              "6571                                  1                                1   \n",
              "6572                                  1                                1   \n",
              "6573                                  1                                1   \n",
              "6574                                  1                                1   \n",
              "6575                                  1                                1   \n",
              "\n",
              "      departure_time_actual_timeofday  departure_time_actual_weekday  \\\n",
              "6571                            21660                              1   \n",
              "6572                            25200                              1   \n",
              "6573                            36240                              1   \n",
              "6574                            55320                              1   \n",
              "6575                            55260                              1   \n",
              "\n",
              "      departure_time_actual_month  arrival_time_programmed_timeofday  \\\n",
              "6571                            1                              60000   \n",
              "6572                            1                              59400   \n",
              "6573                            1                              71100   \n",
              "6574                            1                               3600   \n",
              "6575                            1                               3660   \n",
              "\n",
              "      arrival_time_programmed_weekday  arrival_time_programmed_month  \\\n",
              "6571                                1                              1   \n",
              "6572                                1                              1   \n",
              "6573                                1                              1   \n",
              "6574                                2                              1   \n",
              "6575                                2                              1   \n",
              "\n",
              "      arrival_time_actual_timeofday  arrival_time_actual_weekday  \\\n",
              "6571                          56760                            1   \n",
              "6572                          61020                            1   \n",
              "6573                          70980                            1   \n",
              "6574                           3780                            2   \n",
              "6575                            780                            2   \n",
              "\n",
              "      arrival_time_actual_month  \n",
              "6571                          1  \n",
              "6572                          1  \n",
              "6573                          1  \n",
              "6574                          1  \n",
              "6575                          1  "
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O_Lsd9lMbkLb",
        "colab_type": "text"
      },
      "source": [
        "# **Data Cleaning**\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PxKHauzcSDP0",
        "colab_type": "text"
      },
      "source": [
        "## **Normalizing Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lxJpLVbkrvBf",
        "colab_type": "code",
        "outputId": "beb055fe-dad4-4aed-cbad-fad172ae7432",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Normalizing the data on a -1 to 1 scale\n",
        "\n",
        "  This is important since a lot of our data is on different scales/units.\n",
        "\n",
        "  We chose -1 to 1 because we are normalizing the date columns based on their\n",
        "  sin and cos values to preserve their cyclical nature, as opposed to keeping them,\n",
        "  for example, on a 0 to 23 scale, which makes the data appear as linear.\n",
        "'''\n",
        "import math\n",
        "\n",
        "for id_company in company_dataframes.keys():\n",
        "  for id_route in company_data.keys():\n",
        "    curr_data = company_dataframes[id_company][id_route]\n",
        "\n",
        "    to_normalize = ['data_moving_time', 'data_ignition_time',\n",
        "                    'data_total_distance', 'depart_rainfall',\n",
        "                    'depart_temp', 'arrive_rainfall', 'arrive_temp'] \n",
        "    for feature in to_normalize:\n",
        "      f_min = curr_data[feature].min()\n",
        "      f_max = curr_data[feature].max()\n",
        "      curr_data[feature] = curr_data[feature].apply(lambda x: 2 * (x - f_min) / (f_max - f_min) - 1)\n",
        "      \n",
        "    to_circleify = ['departure_time_programmed_timeofday', 'departure_time_programmed_weekday', \n",
        "                    'departure_time_programmed_month', 'departure_time_actual_timeofday', \n",
        "                    'departure_time_actual_weekday', 'departure_time_actual_month', \n",
        "                    'arrival_time_programmed_timeofday', 'arrival_time_programmed_weekday', \n",
        "                    'arrival_time_programmed_month', 'arrival_time_actual_timeofday', \n",
        "                    'arrival_time_actual_weekday', 'arrival_time_actual_month']\n",
        "\n",
        "    for feature in to_circleify:\n",
        "      name_sin = feature + '_sin'\n",
        "      name_cos = feature + '_cos'\n",
        "      curr_data[name_sin] = curr_data[feature].apply(lambda x: math.sin(x))\n",
        "      curr_data[name_cos] = curr_data[feature].apply(lambda x: math.cos(x))\n",
        "\n",
        "    print(\"Company {} Route {} ({} total entries):\".format(int(id_company), int(id_route), len(curr_data)))\n",
        "    display(company_dataframes[id_company][id_route].head())\n",
        "    print(\"\\n\\n\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Company 9 Route 2857 (3732 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "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>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>...</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "      <th>departure_time_programmed_timeofday_sin</th>\n",
              "      <th>departure_time_programmed_timeofday_cos</th>\n",
              "      <th>departure_time_programmed_weekday_sin</th>\n",
              "      <th>departure_time_programmed_weekday_cos</th>\n",
              "      <th>departure_time_programmed_month_sin</th>\n",
              "      <th>departure_time_programmed_month_cos</th>\n",
              "      <th>departure_time_actual_timeofday_sin</th>\n",
              "      <th>departure_time_actual_timeofday_cos</th>\n",
              "      <th>departure_time_actual_weekday_sin</th>\n",
              "      <th>departure_time_actual_weekday_cos</th>\n",
              "      <th>departure_time_actual_month_sin</th>\n",
              "      <th>departure_time_actual_month_cos</th>\n",
              "      <th>arrival_time_programmed_timeofday_sin</th>\n",
              "      <th>arrival_time_programmed_timeofday_cos</th>\n",
              "      <th>arrival_time_programmed_weekday_sin</th>\n",
              "      <th>arrival_time_programmed_weekday_cos</th>\n",
              "      <th>arrival_time_programmed_month_sin</th>\n",
              "      <th>arrival_time_programmed_month_cos</th>\n",
              "      <th>arrival_time_actual_timeofday_sin</th>\n",
              "      <th>arrival_time_actual_timeofday_cos</th>\n",
              "      <th>arrival_time_actual_weekday_sin</th>\n",
              "      <th>arrival_time_actual_weekday_cos</th>\n",
              "      <th>arrival_time_actual_month_sin</th>\n",
              "      <th>arrival_time_actual_month_cos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>285</td>\n",
              "      <td>3625.0</td>\n",
              "      <td>3681.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>49.06</td>\n",
              "      <td>-0.169067</td>\n",
              "      <td>0.027664</td>\n",
              "      <td>-0.128539</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>33840.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:00:00</td>\n",
              "      <td>2018-01-26 15:23:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:47:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>54000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.742049</td>\n",
              "      <td>-0.670345</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.004703</td>\n",
              "      <td>0.999989</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.912847</td>\n",
              "      <td>0.408302</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>273</th>\n",
              "      <td>286</td>\n",
              "      <td>3744.0</td>\n",
              "      <td>3743.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.58</td>\n",
              "      <td>-0.131160</td>\n",
              "      <td>-0.232905</td>\n",
              "      <td>-0.045998</td>\n",
              "      <td>35940.0</td>\n",
              "      <td>34680.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:01:00</td>\n",
              "      <td>2018-01-26 15:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:59:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>54060</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.502409</td>\n",
              "      <td>0.864630</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.576776</td>\n",
              "      <td>0.816902</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.543768</td>\n",
              "      <td>-0.839235</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>287</td>\n",
              "      <td>5185.0</td>\n",
              "      <td>3716.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.74</td>\n",
              "      <td>-0.226687</td>\n",
              "      <td>0.009850</td>\n",
              "      <td>-0.119109</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31140.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:00:00</td>\n",
              "      <td>2018-01-26 17:17:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:00:00</td>\n",
              "      <td>2018-01-27 01:56:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>61200</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.979201</td>\n",
              "      <td>-0.202893</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.687104</td>\n",
              "      <td>-0.726559</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.714244</td>\n",
              "      <td>0.699897</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.980359</td>\n",
              "      <td>-0.197223</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>275</th>\n",
              "      <td>288</td>\n",
              "      <td>3624.0</td>\n",
              "      <td>3748.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>53.16</td>\n",
              "      <td>-0.196361</td>\n",
              "      <td>0.008534</td>\n",
              "      <td>-0.123214</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>32580.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:01:00</td>\n",
              "      <td>2018-01-26 17:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:01:00</td>\n",
              "      <td>2018-01-27 02:24:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>61260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.870760</td>\n",
              "      <td>0.491709</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.910767</td>\n",
              "      <td>0.412920</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.466919</td>\n",
              "      <td>-0.884300</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.581200</td>\n",
              "      <td>0.813761</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>289</td>\n",
              "      <td>5271.0</td>\n",
              "      <td>3733.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>54.19</td>\n",
              "      <td>-0.266010</td>\n",
              "      <td>-0.041710</td>\n",
              "      <td>-0.104221</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>30360.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:45:00</td>\n",
              "      <td>2018-01-26 18:05:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:45:00</td>\n",
              "      <td>2018-01-27 02:31:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>63900</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.005426</td>\n",
              "      <td>0.999985</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.082873</td>\n",
              "      <td>0.996560</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.544982</td>\n",
              "      <td>-0.838448</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.345914</td>\n",
              "      <td>0.938266</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 58 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "272    285     3625.0      3681.0                              4.0   \n",
              "273    286     3744.0      3743.0                              0.0   \n",
              "274    287     5185.0      3716.0                              0.0   \n",
              "275    288     3624.0      3748.0                              0.0   \n",
              "276    289     5271.0      3733.0                              0.0   \n",
              "\n",
              "     infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "272                         1.0                   1.0               49.06   \n",
              "273                         0.0                   0.0               48.58   \n",
              "274                         1.0                   0.0               52.74   \n",
              "275                         0.0                   4.0               53.16   \n",
              "276                         0.0                   0.0               54.19   \n",
              "\n",
              "     data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "272           -0.169067          0.027664            -0.128539   \n",
              "273           -0.131160         -0.232905            -0.045998   \n",
              "274           -0.226687          0.009850            -0.119109   \n",
              "275           -0.196361          0.008534            -0.123214   \n",
              "276           -0.266010         -0.041710            -0.104221   \n",
              "\n",
              "     data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "272                     36000.0                 33840.0             Bogota   \n",
              "273                     35940.0                 34680.0             Bogota   \n",
              "274                     36000.0                 31140.0             Bogota   \n",
              "275                     36000.0                 32580.0             Bogota   \n",
              "276                     36000.0                 30360.0             Bogota   \n",
              "\n",
              "    departure_time_programmed departure_time_actual arrival_location  \\\n",
              "272       2018-01-26 15:00:00   2018-01-26 15:23:00         Medellin   \n",
              "273       2018-01-26 15:01:00   2018-01-26 15:21:00         Medellin   \n",
              "274       2018-01-26 17:00:00   2018-01-26 17:17:00         Medellin   \n",
              "275       2018-01-26 17:01:00   2018-01-26 17:21:00         Medellin   \n",
              "276       2018-01-26 17:45:00   2018-01-26 18:05:00         Medellin   \n",
              "\n",
              "    arrival_time_programmed arrival_time_actual  depart_rainfall  depart_temp  \\\n",
              "272     2018-01-27 01:00:00 2018-01-27 00:47:00             -1.0    -0.555556   \n",
              "273     2018-01-27 01:00:00 2018-01-27 00:59:00             -1.0    -0.555556   \n",
              "274     2018-01-27 03:00:00 2018-01-27 01:56:00             -1.0    -0.555556   \n",
              "275     2018-01-27 03:01:00 2018-01-27 02:24:00             -1.0    -0.555556   \n",
              "276     2018-01-27 03:45:00 2018-01-27 02:31:00             -1.0    -0.555556   \n",
              "\n",
              "     arrive_rainfall  arrive_temp  departure_time_programmed_timeofday  \\\n",
              "272        -0.939394     0.058824                                54000   \n",
              "273        -0.939394     0.058824                                54060   \n",
              "274        -0.939394     0.058824                                61200   \n",
              "275        -0.939394     0.058824                                61260   \n",
              "276        -0.939394     0.058824                                63900   \n",
              "\n",
              "     departure_time_programmed_weekday  departure_time_programmed_month  ...  \\\n",
              "272                                  4                                1  ...   \n",
              "273                                  4                                1  ...   \n",
              "274                                  4                                1  ...   \n",
              "275                                  4                                1  ...   \n",
              "276                                  4                                1  ...   \n",
              "\n",
              "     arrival_time_actual_month  departure_time_programmed_timeofday_sin  \\\n",
              "272                          1                                 0.742049   \n",
              "273                          1                                -0.502409   \n",
              "274                          1                                 0.979201   \n",
              "275                          1                                -0.870760   \n",
              "276                          1                                 0.005426   \n",
              "\n",
              "     departure_time_programmed_timeofday_cos  \\\n",
              "272                                -0.670345   \n",
              "273                                 0.864630   \n",
              "274                                -0.202893   \n",
              "275                                 0.491709   \n",
              "276                                 0.999985   \n",
              "\n",
              "     departure_time_programmed_weekday_sin  \\\n",
              "272                              -0.756802   \n",
              "273                              -0.756802   \n",
              "274                              -0.756802   \n",
              "275                              -0.756802   \n",
              "276                              -0.756802   \n",
              "\n",
              "     departure_time_programmed_weekday_cos  \\\n",
              "272                              -0.653644   \n",
              "273                              -0.653644   \n",
              "274                              -0.653644   \n",
              "275                              -0.653644   \n",
              "276                              -0.653644   \n",
              "\n",
              "     departure_time_programmed_month_sin  departure_time_programmed_month_cos  \\\n",
              "272                             0.841471                             0.540302   \n",
              "273                             0.841471                             0.540302   \n",
              "274                             0.841471                             0.540302   \n",
              "275                             0.841471                             0.540302   \n",
              "276                             0.841471                             0.540302   \n",
              "\n",
              "     departure_time_actual_timeofday_sin  departure_time_actual_timeofday_cos  \\\n",
              "272                             0.004703                             0.999989   \n",
              "273                            -0.576776                             0.816902   \n",
              "274                            -0.687104                            -0.726559   \n",
              "275                            -0.910767                             0.412920   \n",
              "276                            -0.082873                             0.996560   \n",
              "\n",
              "     departure_time_actual_weekday_sin  departure_time_actual_weekday_cos  \\\n",
              "272                          -0.756802                          -0.653644   \n",
              "273                          -0.756802                          -0.653644   \n",
              "274                          -0.756802                          -0.653644   \n",
              "275                          -0.756802                          -0.653644   \n",
              "276                          -0.756802                          -0.653644   \n",
              "\n",
              "     departure_time_actual_month_sin  departure_time_actual_month_cos  \\\n",
              "272                         0.841471                         0.540302   \n",
              "273                         0.841471                         0.540302   \n",
              "274                         0.841471                         0.540302   \n",
              "275                         0.841471                         0.540302   \n",
              "276                         0.841471                         0.540302   \n",
              "\n",
              "     arrival_time_programmed_timeofday_sin  \\\n",
              "272                              -0.262084   \n",
              "273                              -0.262084   \n",
              "274                              -0.714244   \n",
              "275                               0.466919   \n",
              "276                              -0.544982   \n",
              "\n",
              "     arrival_time_programmed_timeofday_cos  \\\n",
              "272                               0.965045   \n",
              "273                               0.965045   \n",
              "274                               0.699897   \n",
              "275                              -0.884300   \n",
              "276                              -0.838448   \n",
              "\n",
              "     arrival_time_programmed_weekday_sin  arrival_time_programmed_weekday_cos  \\\n",
              "272                            -0.958924                             0.283662   \n",
              "273                            -0.958924                             0.283662   \n",
              "274                            -0.958924                             0.283662   \n",
              "275                            -0.958924                             0.283662   \n",
              "276                            -0.958924                             0.283662   \n",
              "\n",
              "     arrival_time_programmed_month_sin  arrival_time_programmed_month_cos  \\\n",
              "272                           0.841471                           0.540302   \n",
              "273                           0.841471                           0.540302   \n",
              "274                           0.841471                           0.540302   \n",
              "275                           0.841471                           0.540302   \n",
              "276                           0.841471                           0.540302   \n",
              "\n",
              "     arrival_time_actual_timeofday_sin  arrival_time_actual_timeofday_cos  \\\n",
              "272                          -0.912847                           0.408302   \n",
              "273                           0.543768                          -0.839235   \n",
              "274                          -0.980359                          -0.197223   \n",
              "275                           0.581200                           0.813761   \n",
              "276                          -0.345914                           0.938266   \n",
              "\n",
              "     arrival_time_actual_weekday_sin  arrival_time_actual_weekday_cos  \\\n",
              "272                        -0.958924                         0.283662   \n",
              "273                        -0.958924                         0.283662   \n",
              "274                        -0.958924                         0.283662   \n",
              "275                        -0.958924                         0.283662   \n",
              "276                        -0.958924                         0.283662   \n",
              "\n",
              "     arrival_time_actual_month_sin  arrival_time_actual_month_cos  \n",
              "272                       0.841471                       0.540302  \n",
              "273                       0.841471                       0.540302  \n",
              "274                       0.841471                       0.540302  \n",
              "275                       0.841471                       0.540302  \n",
              "276                       0.841471                       0.540302  \n",
              "\n",
              "[5 rows x 58 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Company 9 Route 2932 (3644 total entries):\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>...</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "      <th>departure_time_programmed_timeofday_sin</th>\n",
              "      <th>departure_time_programmed_timeofday_cos</th>\n",
              "      <th>departure_time_programmed_weekday_sin</th>\n",
              "      <th>departure_time_programmed_weekday_cos</th>\n",
              "      <th>departure_time_programmed_month_sin</th>\n",
              "      <th>departure_time_programmed_month_cos</th>\n",
              "      <th>departure_time_actual_timeofday_sin</th>\n",
              "      <th>departure_time_actual_timeofday_cos</th>\n",
              "      <th>departure_time_actual_weekday_sin</th>\n",
              "      <th>departure_time_actual_weekday_cos</th>\n",
              "      <th>departure_time_actual_month_sin</th>\n",
              "      <th>departure_time_actual_month_cos</th>\n",
              "      <th>arrival_time_programmed_timeofday_sin</th>\n",
              "      <th>arrival_time_programmed_timeofday_cos</th>\n",
              "      <th>arrival_time_programmed_weekday_sin</th>\n",
              "      <th>arrival_time_programmed_weekday_cos</th>\n",
              "      <th>arrival_time_programmed_month_sin</th>\n",
              "      <th>arrival_time_programmed_month_cos</th>\n",
              "      <th>arrival_time_actual_timeofday_sin</th>\n",
              "      <th>arrival_time_actual_timeofday_cos</th>\n",
              "      <th>arrival_time_actual_weekday_sin</th>\n",
              "      <th>arrival_time_actual_weekday_cos</th>\n",
              "      <th>arrival_time_actual_month_sin</th>\n",
              "      <th>arrival_time_actual_month_cos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6571</th>\n",
              "      <td>235</td>\n",
              "      <td>3472.0</td>\n",
              "      <td>3597.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>50.39</td>\n",
              "      <td>-0.151198</td>\n",
              "      <td>-0.109108</td>\n",
              "      <td>-0.059996</td>\n",
              "      <td>39600.0</td>\n",
              "      <td>35100.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 05:40:00</td>\n",
              "      <td>2018-01-23 06:01:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:40:00</td>\n",
              "      <td>2018-01-23 15:46:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>20400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.997682</td>\n",
              "      <td>0.068051</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.958401</td>\n",
              "      <td>-0.285425</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.957467</td>\n",
              "      <td>-0.288544</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748321</td>\n",
              "      <td>-0.663337</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6572</th>\n",
              "      <td>236</td>\n",
              "      <td>3843.0</td>\n",
              "      <td>3747.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49.14</td>\n",
              "      <td>-0.202096</td>\n",
              "      <td>0.085741</td>\n",
              "      <td>-0.238016</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>35820.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 06:30:00</td>\n",
              "      <td>2018-01-23 07:00:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:30:00</td>\n",
              "      <td>2018-01-23 16:57:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>23400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.988337</td>\n",
              "      <td>0.152285</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.959529</td>\n",
              "      <td>-0.281609</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.943783</td>\n",
              "      <td>0.330565</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748561</td>\n",
              "      <td>-0.663066</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6573</th>\n",
              "      <td>237</td>\n",
              "      <td>3523.0</td>\n",
              "      <td>3742.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>51.64</td>\n",
              "      <td>-0.155689</td>\n",
              "      <td>0.060350</td>\n",
              "      <td>-0.176443</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34740.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 09:45:00</td>\n",
              "      <td>2018-01-23 10:04:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 19:45:00</td>\n",
              "      <td>2018-01-23 19:43:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>35100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.849332</td>\n",
              "      <td>-0.527859</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.987553</td>\n",
              "      <td>0.157289</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.501158</td>\n",
              "      <td>0.865356</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.910468</td>\n",
              "      <td>0.413579</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6574</th>\n",
              "      <td>238</td>\n",
              "      <td>5533.0</td>\n",
              "      <td>3679.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>48.84</td>\n",
              "      <td>-0.146707</td>\n",
              "      <td>0.106385</td>\n",
              "      <td>-0.230692</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34860.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:00:00</td>\n",
              "      <td>2018-01-23 15:22:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:00:00</td>\n",
              "      <td>2018-01-24 01:03:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.742049</td>\n",
              "      <td>-0.670345</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.300329</td>\n",
              "      <td>-0.953836</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.616302</td>\n",
              "      <td>-0.787510</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6575</th>\n",
              "      <td>239</td>\n",
              "      <td>3468.0</td>\n",
              "      <td>4083.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>52.05</td>\n",
              "      <td>-0.282934</td>\n",
              "      <td>0.016817</td>\n",
              "      <td>-0.249018</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31920.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:01:00</td>\n",
              "      <td>2018-01-23 15:21:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:01:00</td>\n",
              "      <td>2018-01-24 00:13:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54060</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.502409</td>\n",
              "      <td>0.864630</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.576776</td>\n",
              "      <td>0.816902</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.044544</td>\n",
              "      <td>-0.999007</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.773929</td>\n",
              "      <td>0.633273</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 58 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6571    235     3472.0      3597.0                              0.0   \n",
              "6572    236     3843.0      3747.0                              0.0   \n",
              "6573    237     3523.0      3742.0                              1.0   \n",
              "6574    238     5533.0      3679.0                              1.0   \n",
              "6575    239     3468.0      4083.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6571                         0.0                   1.0               50.39   \n",
              "6572                         0.0                   0.0               49.14   \n",
              "6573                         0.0                   1.0               51.64   \n",
              "6574                         1.0                   1.0               48.84   \n",
              "6575                         2.0                   0.0               52.05   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6571           -0.151198         -0.109108            -0.059996   \n",
              "6572           -0.202096          0.085741            -0.238016   \n",
              "6573           -0.155689          0.060350            -0.176443   \n",
              "6574           -0.146707          0.106385            -0.230692   \n",
              "6575           -0.282934          0.016817            -0.249018   \n",
              "\n",
              "      data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "6571                     39600.0                 35100.0           Medellin   \n",
              "6572                     36000.0                 35820.0           Medellin   \n",
              "6573                     36000.0                 34740.0           Medellin   \n",
              "6574                     36000.0                 34860.0           Medellin   \n",
              "6575                     36000.0                 31920.0           Medellin   \n",
              "\n",
              "     departure_time_programmed departure_time_actual arrival_location  \\\n",
              "6571       2018-01-23 05:40:00   2018-01-23 06:01:00           Bogota   \n",
              "6572       2018-01-23 06:30:00   2018-01-23 07:00:00           Bogota   \n",
              "6573       2018-01-23 09:45:00   2018-01-23 10:04:00           Bogota   \n",
              "6574       2018-01-23 15:00:00   2018-01-23 15:22:00           Bogota   \n",
              "6575       2018-01-23 15:01:00   2018-01-23 15:21:00           Bogota   \n",
              "\n",
              "     arrival_time_programmed arrival_time_actual  depart_rainfall  \\\n",
              "6571     2018-01-23 16:40:00 2018-01-23 15:46:00        -0.939394   \n",
              "6572     2018-01-23 16:30:00 2018-01-23 16:57:00        -0.939394   \n",
              "6573     2018-01-23 19:45:00 2018-01-23 19:43:00        -0.939394   \n",
              "6574     2018-01-24 01:00:00 2018-01-24 01:03:00        -1.000000   \n",
              "6575     2018-01-24 01:01:00 2018-01-24 00:13:00        -1.000000   \n",
              "\n",
              "      depart_temp  arrive_rainfall  arrive_temp  \\\n",
              "6571        0.125             -1.0    -0.272727   \n",
              "6572        0.125             -1.0    -0.272727   \n",
              "6573        0.125             -1.0    -0.272727   \n",
              "6574        0.000             -1.0    -0.272727   \n",
              "6575        0.000             -1.0    -0.272727   \n",
              "\n",
              "      departure_time_programmed_timeofday  departure_time_programmed_weekday  \\\n",
              "6571                                20400                                  1   \n",
              "6572                                23400                                  1   \n",
              "6573                                35100                                  1   \n",
              "6574                                54000                                  1   \n",
              "6575                                54060                                  1   \n",
              "\n",
              "      departure_time_programmed_month  ...  arrival_time_actual_month  \\\n",
              "6571                                1  ...                          1   \n",
              "6572                                1  ...                          1   \n",
              "6573                                1  ...                          1   \n",
              "6574                                1  ...                          1   \n",
              "6575                                1  ...                          1   \n",
              "\n",
              "      departure_time_programmed_timeofday_sin  \\\n",
              "6571                                -0.997682   \n",
              "6572                                 0.988337   \n",
              "6573                                 0.849332   \n",
              "6574                                 0.742049   \n",
              "6575                                -0.502409   \n",
              "\n",
              "      departure_time_programmed_timeofday_cos  \\\n",
              "6571                                 0.068051   \n",
              "6572                                 0.152285   \n",
              "6573                                -0.527859   \n",
              "6574                                -0.670345   \n",
              "6575                                 0.864630   \n",
              "\n",
              "      departure_time_programmed_weekday_sin  \\\n",
              "6571                               0.841471   \n",
              "6572                               0.841471   \n",
              "6573                               0.841471   \n",
              "6574                               0.841471   \n",
              "6575                               0.841471   \n",
              "\n",
              "      departure_time_programmed_weekday_cos  \\\n",
              "6571                               0.540302   \n",
              "6572                               0.540302   \n",
              "6573                               0.540302   \n",
              "6574                               0.540302   \n",
              "6575                               0.540302   \n",
              "\n",
              "      departure_time_programmed_month_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.841471   \n",
              "6575                             0.841471   \n",
              "\n",
              "      departure_time_programmed_month_cos  \\\n",
              "6571                             0.540302   \n",
              "6572                             0.540302   \n",
              "6573                             0.540302   \n",
              "6574                             0.540302   \n",
              "6575                             0.540302   \n",
              "\n",
              "      departure_time_actual_timeofday_sin  \\\n",
              "6571                             0.958401   \n",
              "6572                            -0.959529   \n",
              "6573                            -0.987553   \n",
              "6574                             0.300329   \n",
              "6575                            -0.576776   \n",
              "\n",
              "      departure_time_actual_timeofday_cos  departure_time_actual_weekday_sin  \\\n",
              "6571                            -0.285425                           0.841471   \n",
              "6572                            -0.281609                           0.841471   \n",
              "6573                             0.157289                           0.841471   \n",
              "6574                            -0.953836                           0.841471   \n",
              "6575                             0.816902                           0.841471   \n",
              "\n",
              "      departure_time_actual_weekday_cos  departure_time_actual_month_sin  \\\n",
              "6571                           0.540302                         0.841471   \n",
              "6572                           0.540302                         0.841471   \n",
              "6573                           0.540302                         0.841471   \n",
              "6574                           0.540302                         0.841471   \n",
              "6575                           0.540302                         0.841471   \n",
              "\n",
              "      departure_time_actual_month_cos  arrival_time_programmed_timeofday_sin  \\\n",
              "6571                         0.540302                               0.957467   \n",
              "6572                         0.540302                              -0.943783   \n",
              "6573                         0.540302                              -0.501158   \n",
              "6574                         0.540302                              -0.262084   \n",
              "6575                         0.540302                              -0.044544   \n",
              "\n",
              "      arrival_time_programmed_timeofday_cos  \\\n",
              "6571                              -0.288544   \n",
              "6572                               0.330565   \n",
              "6573                               0.865356   \n",
              "6574                               0.965045   \n",
              "6575                              -0.999007   \n",
              "\n",
              "      arrival_time_programmed_weekday_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.909297   \n",
              "6575                             0.909297   \n",
              "\n",
              "      arrival_time_programmed_weekday_cos  arrival_time_programmed_month_sin  \\\n",
              "6571                             0.540302                           0.841471   \n",
              "6572                             0.540302                           0.841471   \n",
              "6573                             0.540302                           0.841471   \n",
              "6574                            -0.416147                           0.841471   \n",
              "6575                            -0.416147                           0.841471   \n",
              "\n",
              "      arrival_time_programmed_month_cos  arrival_time_actual_timeofday_sin  \\\n",
              "6571                           0.540302                          -0.748321   \n",
              "6572                           0.540302                          -0.748561   \n",
              "6573                           0.540302                          -0.910468   \n",
              "6574                           0.540302                          -0.616302   \n",
              "6575                           0.540302                           0.773929   \n",
              "\n",
              "      arrival_time_actual_timeofday_cos  arrival_time_actual_weekday_sin  \\\n",
              "6571                          -0.663337                         0.841471   \n",
              "6572                          -0.663066                         0.841471   \n",
              "6573                           0.413579                         0.841471   \n",
              "6574                          -0.787510                         0.909297   \n",
              "6575                           0.633273                         0.909297   \n",
              "\n",
              "      arrival_time_actual_weekday_cos  arrival_time_actual_month_sin  \\\n",
              "6571                         0.540302                       0.841471   \n",
              "6572                         0.540302                       0.841471   \n",
              "6573                         0.540302                       0.841471   \n",
              "6574                        -0.416147                       0.841471   \n",
              "6575                        -0.416147                       0.841471   \n",
              "\n",
              "      arrival_time_actual_month_cos  \n",
              "6571                       0.540302  \n",
              "6572                       0.540302  \n",
              "6573                       0.540302  \n",
              "6574                       0.540302  \n",
              "6575                       0.540302  \n",
              "\n",
              "[5 rows x 58 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hXblH-Fsu9Dm",
        "colab_type": "text"
      },
      "source": [
        "## **Standardizing Data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ppOnaSuqu_t_",
        "colab_type": "code",
        "outputId": "49358e37-fe46-4074-af5a-e6656ad57213",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "'''\n",
        "  Standardizing Average Speed (mean = 0, std = 1)\n",
        "\n",
        "  We observe that 'data_average_speed' for both routes are\n",
        "  normally distributed but with different means and stds.\n",
        "\n",
        "  Thus, we calculate the number of standard deviations\n",
        "  above/below the mean that the driver consistently drives at.\n",
        "'''\n",
        "for id_company in company_dataframes.keys():\n",
        "    for id_route in company_data.keys():\n",
        "        route_data = company_dataframes[id_company][id_route]\n",
        "\n",
        "        avg_speed = route_data['data_average_speed']\n",
        "        avg_speed_mean = avg_speed.mean()\n",
        "        avg_speed_std = avg_speed.std()\n",
        "\n",
        "        route_data['data_average_speed'] = route_data['data_average_speed'].apply(lambda x: (x - avg_speed_mean)/(avg_speed_std))\n",
        "\n",
        "curr_data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>...</th>\n",
              "      <th>arrival_time_actual_month</th>\n",
              "      <th>departure_time_programmed_timeofday_sin</th>\n",
              "      <th>departure_time_programmed_timeofday_cos</th>\n",
              "      <th>departure_time_programmed_weekday_sin</th>\n",
              "      <th>departure_time_programmed_weekday_cos</th>\n",
              "      <th>departure_time_programmed_month_sin</th>\n",
              "      <th>departure_time_programmed_month_cos</th>\n",
              "      <th>departure_time_actual_timeofday_sin</th>\n",
              "      <th>departure_time_actual_timeofday_cos</th>\n",
              "      <th>departure_time_actual_weekday_sin</th>\n",
              "      <th>departure_time_actual_weekday_cos</th>\n",
              "      <th>departure_time_actual_month_sin</th>\n",
              "      <th>departure_time_actual_month_cos</th>\n",
              "      <th>arrival_time_programmed_timeofday_sin</th>\n",
              "      <th>arrival_time_programmed_timeofday_cos</th>\n",
              "      <th>arrival_time_programmed_weekday_sin</th>\n",
              "      <th>arrival_time_programmed_weekday_cos</th>\n",
              "      <th>arrival_time_programmed_month_sin</th>\n",
              "      <th>arrival_time_programmed_month_cos</th>\n",
              "      <th>arrival_time_actual_timeofday_sin</th>\n",
              "      <th>arrival_time_actual_timeofday_cos</th>\n",
              "      <th>arrival_time_actual_weekday_sin</th>\n",
              "      <th>arrival_time_actual_weekday_cos</th>\n",
              "      <th>arrival_time_actual_month_sin</th>\n",
              "      <th>arrival_time_actual_month_cos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6571</th>\n",
              "      <td>235</td>\n",
              "      <td>3472.0</td>\n",
              "      <td>3597.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.310016</td>\n",
              "      <td>-0.151198</td>\n",
              "      <td>-0.109108</td>\n",
              "      <td>-0.059996</td>\n",
              "      <td>39600.0</td>\n",
              "      <td>35100.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 05:40:00</td>\n",
              "      <td>2018-01-23 06:01:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:40:00</td>\n",
              "      <td>2018-01-23 15:46:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>20400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.997682</td>\n",
              "      <td>0.068051</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.958401</td>\n",
              "      <td>-0.285425</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.957467</td>\n",
              "      <td>-0.288544</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748321</td>\n",
              "      <td>-0.663337</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6572</th>\n",
              "      <td>236</td>\n",
              "      <td>3843.0</td>\n",
              "      <td>3747.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.055501</td>\n",
              "      <td>-0.202096</td>\n",
              "      <td>0.085741</td>\n",
              "      <td>-0.238016</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>35820.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 06:30:00</td>\n",
              "      <td>2018-01-23 07:00:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:30:00</td>\n",
              "      <td>2018-01-23 16:57:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>23400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.988337</td>\n",
              "      <td>0.152285</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.959529</td>\n",
              "      <td>-0.281609</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.943783</td>\n",
              "      <td>0.330565</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748561</td>\n",
              "      <td>-0.663066</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6573</th>\n",
              "      <td>237</td>\n",
              "      <td>3523.0</td>\n",
              "      <td>3742.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.564531</td>\n",
              "      <td>-0.155689</td>\n",
              "      <td>0.060350</td>\n",
              "      <td>-0.176443</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34740.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 09:45:00</td>\n",
              "      <td>2018-01-23 10:04:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 19:45:00</td>\n",
              "      <td>2018-01-23 19:43:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>35100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.849332</td>\n",
              "      <td>-0.527859</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.987553</td>\n",
              "      <td>0.157289</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.501158</td>\n",
              "      <td>0.865356</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.910468</td>\n",
              "      <td>0.413579</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6574</th>\n",
              "      <td>238</td>\n",
              "      <td>5533.0</td>\n",
              "      <td>3679.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.005582</td>\n",
              "      <td>-0.146707</td>\n",
              "      <td>0.106385</td>\n",
              "      <td>-0.230692</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34860.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:00:00</td>\n",
              "      <td>2018-01-23 15:22:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:00:00</td>\n",
              "      <td>2018-01-24 01:03:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>0.742049</td>\n",
              "      <td>-0.670345</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.300329</td>\n",
              "      <td>-0.953836</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.616302</td>\n",
              "      <td>-0.787510</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6575</th>\n",
              "      <td>239</td>\n",
              "      <td>3468.0</td>\n",
              "      <td>4083.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.648011</td>\n",
              "      <td>-0.282934</td>\n",
              "      <td>0.016817</td>\n",
              "      <td>-0.249018</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31920.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:01:00</td>\n",
              "      <td>2018-01-23 15:21:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:01:00</td>\n",
              "      <td>2018-01-24 00:13:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54060</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>-0.502409</td>\n",
              "      <td>0.864630</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.576776</td>\n",
              "      <td>0.816902</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.044544</td>\n",
              "      <td>-0.999007</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.773929</td>\n",
              "      <td>0.633273</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 58 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6571    235     3472.0      3597.0                              0.0   \n",
              "6572    236     3843.0      3747.0                              0.0   \n",
              "6573    237     3523.0      3742.0                              1.0   \n",
              "6574    238     5533.0      3679.0                              1.0   \n",
              "6575    239     3468.0      4083.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6571                         0.0                   1.0            0.310016   \n",
              "6572                         0.0                   0.0            0.055501   \n",
              "6573                         0.0                   1.0            0.564531   \n",
              "6574                         1.0                   1.0           -0.005582   \n",
              "6575                         2.0                   0.0            0.648011   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6571           -0.151198         -0.109108            -0.059996   \n",
              "6572           -0.202096          0.085741            -0.238016   \n",
              "6573           -0.155689          0.060350            -0.176443   \n",
              "6574           -0.146707          0.106385            -0.230692   \n",
              "6575           -0.282934          0.016817            -0.249018   \n",
              "\n",
              "      data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "6571                     39600.0                 35100.0           Medellin   \n",
              "6572                     36000.0                 35820.0           Medellin   \n",
              "6573                     36000.0                 34740.0           Medellin   \n",
              "6574                     36000.0                 34860.0           Medellin   \n",
              "6575                     36000.0                 31920.0           Medellin   \n",
              "\n",
              "     departure_time_programmed departure_time_actual arrival_location  \\\n",
              "6571       2018-01-23 05:40:00   2018-01-23 06:01:00           Bogota   \n",
              "6572       2018-01-23 06:30:00   2018-01-23 07:00:00           Bogota   \n",
              "6573       2018-01-23 09:45:00   2018-01-23 10:04:00           Bogota   \n",
              "6574       2018-01-23 15:00:00   2018-01-23 15:22:00           Bogota   \n",
              "6575       2018-01-23 15:01:00   2018-01-23 15:21:00           Bogota   \n",
              "\n",
              "     arrival_time_programmed arrival_time_actual  depart_rainfall  \\\n",
              "6571     2018-01-23 16:40:00 2018-01-23 15:46:00        -0.939394   \n",
              "6572     2018-01-23 16:30:00 2018-01-23 16:57:00        -0.939394   \n",
              "6573     2018-01-23 19:45:00 2018-01-23 19:43:00        -0.939394   \n",
              "6574     2018-01-24 01:00:00 2018-01-24 01:03:00        -1.000000   \n",
              "6575     2018-01-24 01:01:00 2018-01-24 00:13:00        -1.000000   \n",
              "\n",
              "      depart_temp  arrive_rainfall  arrive_temp  \\\n",
              "6571        0.125             -1.0    -0.272727   \n",
              "6572        0.125             -1.0    -0.272727   \n",
              "6573        0.125             -1.0    -0.272727   \n",
              "6574        0.000             -1.0    -0.272727   \n",
              "6575        0.000             -1.0    -0.272727   \n",
              "\n",
              "      departure_time_programmed_timeofday  departure_time_programmed_weekday  \\\n",
              "6571                                20400                                  1   \n",
              "6572                                23400                                  1   \n",
              "6573                                35100                                  1   \n",
              "6574                                54000                                  1   \n",
              "6575                                54060                                  1   \n",
              "\n",
              "      departure_time_programmed_month  ...  arrival_time_actual_month  \\\n",
              "6571                                1  ...                          1   \n",
              "6572                                1  ...                          1   \n",
              "6573                                1  ...                          1   \n",
              "6574                                1  ...                          1   \n",
              "6575                                1  ...                          1   \n",
              "\n",
              "      departure_time_programmed_timeofday_sin  \\\n",
              "6571                                -0.997682   \n",
              "6572                                 0.988337   \n",
              "6573                                 0.849332   \n",
              "6574                                 0.742049   \n",
              "6575                                -0.502409   \n",
              "\n",
              "      departure_time_programmed_timeofday_cos  \\\n",
              "6571                                 0.068051   \n",
              "6572                                 0.152285   \n",
              "6573                                -0.527859   \n",
              "6574                                -0.670345   \n",
              "6575                                 0.864630   \n",
              "\n",
              "      departure_time_programmed_weekday_sin  \\\n",
              "6571                               0.841471   \n",
              "6572                               0.841471   \n",
              "6573                               0.841471   \n",
              "6574                               0.841471   \n",
              "6575                               0.841471   \n",
              "\n",
              "      departure_time_programmed_weekday_cos  \\\n",
              "6571                               0.540302   \n",
              "6572                               0.540302   \n",
              "6573                               0.540302   \n",
              "6574                               0.540302   \n",
              "6575                               0.540302   \n",
              "\n",
              "      departure_time_programmed_month_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.841471   \n",
              "6575                             0.841471   \n",
              "\n",
              "      departure_time_programmed_month_cos  \\\n",
              "6571                             0.540302   \n",
              "6572                             0.540302   \n",
              "6573                             0.540302   \n",
              "6574                             0.540302   \n",
              "6575                             0.540302   \n",
              "\n",
              "      departure_time_actual_timeofday_sin  \\\n",
              "6571                             0.958401   \n",
              "6572                            -0.959529   \n",
              "6573                            -0.987553   \n",
              "6574                             0.300329   \n",
              "6575                            -0.576776   \n",
              "\n",
              "      departure_time_actual_timeofday_cos  departure_time_actual_weekday_sin  \\\n",
              "6571                            -0.285425                           0.841471   \n",
              "6572                            -0.281609                           0.841471   \n",
              "6573                             0.157289                           0.841471   \n",
              "6574                            -0.953836                           0.841471   \n",
              "6575                             0.816902                           0.841471   \n",
              "\n",
              "      departure_time_actual_weekday_cos  departure_time_actual_month_sin  \\\n",
              "6571                           0.540302                         0.841471   \n",
              "6572                           0.540302                         0.841471   \n",
              "6573                           0.540302                         0.841471   \n",
              "6574                           0.540302                         0.841471   \n",
              "6575                           0.540302                         0.841471   \n",
              "\n",
              "      departure_time_actual_month_cos  arrival_time_programmed_timeofday_sin  \\\n",
              "6571                         0.540302                               0.957467   \n",
              "6572                         0.540302                              -0.943783   \n",
              "6573                         0.540302                              -0.501158   \n",
              "6574                         0.540302                              -0.262084   \n",
              "6575                         0.540302                              -0.044544   \n",
              "\n",
              "      arrival_time_programmed_timeofday_cos  \\\n",
              "6571                              -0.288544   \n",
              "6572                               0.330565   \n",
              "6573                               0.865356   \n",
              "6574                               0.965045   \n",
              "6575                              -0.999007   \n",
              "\n",
              "      arrival_time_programmed_weekday_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.909297   \n",
              "6575                             0.909297   \n",
              "\n",
              "      arrival_time_programmed_weekday_cos  arrival_time_programmed_month_sin  \\\n",
              "6571                             0.540302                           0.841471   \n",
              "6572                             0.540302                           0.841471   \n",
              "6573                             0.540302                           0.841471   \n",
              "6574                            -0.416147                           0.841471   \n",
              "6575                            -0.416147                           0.841471   \n",
              "\n",
              "      arrival_time_programmed_month_cos  arrival_time_actual_timeofday_sin  \\\n",
              "6571                           0.540302                          -0.748321   \n",
              "6572                           0.540302                          -0.748561   \n",
              "6573                           0.540302                          -0.910468   \n",
              "6574                           0.540302                          -0.616302   \n",
              "6575                           0.540302                           0.773929   \n",
              "\n",
              "      arrival_time_actual_timeofday_cos  arrival_time_actual_weekday_sin  \\\n",
              "6571                          -0.663337                         0.841471   \n",
              "6572                          -0.663066                         0.841471   \n",
              "6573                           0.413579                         0.841471   \n",
              "6574                          -0.787510                         0.909297   \n",
              "6575                           0.633273                         0.909297   \n",
              "\n",
              "      arrival_time_actual_weekday_cos  arrival_time_actual_month_sin  \\\n",
              "6571                         0.540302                       0.841471   \n",
              "6572                         0.540302                       0.841471   \n",
              "6573                         0.540302                       0.841471   \n",
              "6574                        -0.416147                       0.841471   \n",
              "6575                        -0.416147                       0.841471   \n",
              "\n",
              "      arrival_time_actual_month_cos  \n",
              "6571                       0.540302  \n",
              "6572                       0.540302  \n",
              "6573                       0.540302  \n",
              "6574                       0.540302  \n",
              "6575                       0.540302  \n",
              "\n",
              "[5 rows x 58 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0K3FayIl3uOR",
        "colab_type": "text"
      },
      "source": [
        "# **Augmenting with Driver Average Speed**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gBd5fjUg4LB2",
        "colab_type": "code",
        "outputId": "d68791c9-7100-43df-db3a-f28992f09c9a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 605
        }
      },
      "source": [
        "'''\n",
        "  Augmenting the dataset by using driver's past driving speed to estimate\n",
        "  their future driving speed.\n",
        "  \n",
        "  Note: honestly, this isn't the best practice but we're pretty limited on\n",
        "  features so I wasn't sure what to use. Some drivers don't drive either\n",
        "  route more than a few times so we're probably gonna overfit on this. :/\n",
        "'''\n",
        "for id_company in company_dataframes.keys():\n",
        "    for id_route in company_data.keys():\n",
        "      route_data = company_dataframes[id_company][id_route]\n",
        "      unique_driver_ids = route_data['id_driver'].unique()\n",
        "\n",
        "      for id_driver in unique_driver_ids:\n",
        "          driver_data = route_data.loc[route_data['id_driver'] == id_driver]\n",
        "          driver_speeds = driver_data['data_average_speed']\n",
        "          avg_driver_speed = driver_speeds.mean()\n",
        "\n",
        "          route_data.loc[route_data['id_driver'] == id_driver, 'driver_average_speed'] = avg_driver_speed\n",
        "\n",
        "      print(\"Company {} Route {}:\".format(int(id_company), int(id_route)))\n",
        "      display(company_dataframes[id_company][id_route].head())\n",
        "      print(\"\\n\\n\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Company 9 Route 2857:\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "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>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>...</th>\n",
              "      <th>departure_time_programmed_timeofday_sin</th>\n",
              "      <th>departure_time_programmed_timeofday_cos</th>\n",
              "      <th>departure_time_programmed_weekday_sin</th>\n",
              "      <th>departure_time_programmed_weekday_cos</th>\n",
              "      <th>departure_time_programmed_month_sin</th>\n",
              "      <th>departure_time_programmed_month_cos</th>\n",
              "      <th>departure_time_actual_timeofday_sin</th>\n",
              "      <th>departure_time_actual_timeofday_cos</th>\n",
              "      <th>departure_time_actual_weekday_sin</th>\n",
              "      <th>departure_time_actual_weekday_cos</th>\n",
              "      <th>departure_time_actual_month_sin</th>\n",
              "      <th>departure_time_actual_month_cos</th>\n",
              "      <th>arrival_time_programmed_timeofday_sin</th>\n",
              "      <th>arrival_time_programmed_timeofday_cos</th>\n",
              "      <th>arrival_time_programmed_weekday_sin</th>\n",
              "      <th>arrival_time_programmed_weekday_cos</th>\n",
              "      <th>arrival_time_programmed_month_sin</th>\n",
              "      <th>arrival_time_programmed_month_cos</th>\n",
              "      <th>arrival_time_actual_timeofday_sin</th>\n",
              "      <th>arrival_time_actual_timeofday_cos</th>\n",
              "      <th>arrival_time_actual_weekday_sin</th>\n",
              "      <th>arrival_time_actual_weekday_cos</th>\n",
              "      <th>arrival_time_actual_month_sin</th>\n",
              "      <th>arrival_time_actual_month_cos</th>\n",
              "      <th>driver_average_speed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>272</th>\n",
              "      <td>285</td>\n",
              "      <td>3625.0</td>\n",
              "      <td>3681.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.290722</td>\n",
              "      <td>-0.169067</td>\n",
              "      <td>0.027664</td>\n",
              "      <td>-0.128539</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>33840.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:00:00</td>\n",
              "      <td>2018-01-26 15:23:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:47:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>54000</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.742049</td>\n",
              "      <td>-0.670345</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.004703</td>\n",
              "      <td>0.999989</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.912847</td>\n",
              "      <td>0.408302</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.006170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>273</th>\n",
              "      <td>286</td>\n",
              "      <td>3744.0</td>\n",
              "      <td>3743.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.209228</td>\n",
              "      <td>-0.131160</td>\n",
              "      <td>-0.232905</td>\n",
              "      <td>-0.045998</td>\n",
              "      <td>35940.0</td>\n",
              "      <td>34680.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 15:01:00</td>\n",
              "      <td>2018-01-26 15:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 01:00:00</td>\n",
              "      <td>2018-01-27 00:59:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>54060</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.502409</td>\n",
              "      <td>0.864630</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.576776</td>\n",
              "      <td>0.816902</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.543768</td>\n",
              "      <td>-0.839235</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.030572</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>287</td>\n",
              "      <td>5185.0</td>\n",
              "      <td>3716.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.915515</td>\n",
              "      <td>-0.226687</td>\n",
              "      <td>0.009850</td>\n",
              "      <td>-0.119109</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31140.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:00:00</td>\n",
              "      <td>2018-01-26 17:17:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:00:00</td>\n",
              "      <td>2018-01-27 01:56:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>61200</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.979201</td>\n",
              "      <td>-0.202893</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.687104</td>\n",
              "      <td>-0.726559</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.714244</td>\n",
              "      <td>0.699897</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.980359</td>\n",
              "      <td>-0.197223</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.327056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>275</th>\n",
              "      <td>288</td>\n",
              "      <td>3624.0</td>\n",
              "      <td>3748.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.986823</td>\n",
              "      <td>-0.196361</td>\n",
              "      <td>0.008534</td>\n",
              "      <td>-0.123214</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>32580.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:01:00</td>\n",
              "      <td>2018-01-26 17:21:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:01:00</td>\n",
              "      <td>2018-01-27 02:24:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>61260</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.870760</td>\n",
              "      <td>0.491709</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.910767</td>\n",
              "      <td>0.412920</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.466919</td>\n",
              "      <td>-0.884300</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.581200</td>\n",
              "      <td>0.813761</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.247407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>289</td>\n",
              "      <td>5271.0</td>\n",
              "      <td>3733.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.161697</td>\n",
              "      <td>-0.266010</td>\n",
              "      <td>-0.041710</td>\n",
              "      <td>-0.104221</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>30360.0</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-26 17:45:00</td>\n",
              "      <td>2018-01-26 18:05:00</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-27 03:45:00</td>\n",
              "      <td>2018-01-27 02:31:00</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.555556</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.058824</td>\n",
              "      <td>63900</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.005426</td>\n",
              "      <td>0.999985</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.082873</td>\n",
              "      <td>0.996560</td>\n",
              "      <td>-0.756802</td>\n",
              "      <td>-0.653644</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.544982</td>\n",
              "      <td>-0.838448</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.345914</td>\n",
              "      <td>0.938266</td>\n",
              "      <td>-0.958924</td>\n",
              "      <td>0.283662</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>1.161697</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 59 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "272    285     3625.0      3681.0                              4.0   \n",
              "273    286     3744.0      3743.0                              0.0   \n",
              "274    287     5185.0      3716.0                              0.0   \n",
              "275    288     3624.0      3748.0                              0.0   \n",
              "276    289     5271.0      3733.0                              0.0   \n",
              "\n",
              "     infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "272                         1.0                   1.0            0.290722   \n",
              "273                         0.0                   0.0            0.209228   \n",
              "274                         1.0                   0.0            0.915515   \n",
              "275                         0.0                   4.0            0.986823   \n",
              "276                         0.0                   0.0            1.161697   \n",
              "\n",
              "     data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "272           -0.169067          0.027664            -0.128539   \n",
              "273           -0.131160         -0.232905            -0.045998   \n",
              "274           -0.226687          0.009850            -0.119109   \n",
              "275           -0.196361          0.008534            -0.123214   \n",
              "276           -0.266010         -0.041710            -0.104221   \n",
              "\n",
              "     data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "272                     36000.0                 33840.0             Bogota   \n",
              "273                     35940.0                 34680.0             Bogota   \n",
              "274                     36000.0                 31140.0             Bogota   \n",
              "275                     36000.0                 32580.0             Bogota   \n",
              "276                     36000.0                 30360.0             Bogota   \n",
              "\n",
              "    departure_time_programmed departure_time_actual arrival_location  \\\n",
              "272       2018-01-26 15:00:00   2018-01-26 15:23:00         Medellin   \n",
              "273       2018-01-26 15:01:00   2018-01-26 15:21:00         Medellin   \n",
              "274       2018-01-26 17:00:00   2018-01-26 17:17:00         Medellin   \n",
              "275       2018-01-26 17:01:00   2018-01-26 17:21:00         Medellin   \n",
              "276       2018-01-26 17:45:00   2018-01-26 18:05:00         Medellin   \n",
              "\n",
              "    arrival_time_programmed arrival_time_actual  depart_rainfall  depart_temp  \\\n",
              "272     2018-01-27 01:00:00 2018-01-27 00:47:00             -1.0    -0.555556   \n",
              "273     2018-01-27 01:00:00 2018-01-27 00:59:00             -1.0    -0.555556   \n",
              "274     2018-01-27 03:00:00 2018-01-27 01:56:00             -1.0    -0.555556   \n",
              "275     2018-01-27 03:01:00 2018-01-27 02:24:00             -1.0    -0.555556   \n",
              "276     2018-01-27 03:45:00 2018-01-27 02:31:00             -1.0    -0.555556   \n",
              "\n",
              "     arrive_rainfall  arrive_temp  departure_time_programmed_timeofday  \\\n",
              "272        -0.939394     0.058824                                54000   \n",
              "273        -0.939394     0.058824                                54060   \n",
              "274        -0.939394     0.058824                                61200   \n",
              "275        -0.939394     0.058824                                61260   \n",
              "276        -0.939394     0.058824                                63900   \n",
              "\n",
              "     departure_time_programmed_weekday  departure_time_programmed_month  ...  \\\n",
              "272                                  4                                1  ...   \n",
              "273                                  4                                1  ...   \n",
              "274                                  4                                1  ...   \n",
              "275                                  4                                1  ...   \n",
              "276                                  4                                1  ...   \n",
              "\n",
              "     departure_time_programmed_timeofday_sin  \\\n",
              "272                                 0.742049   \n",
              "273                                -0.502409   \n",
              "274                                 0.979201   \n",
              "275                                -0.870760   \n",
              "276                                 0.005426   \n",
              "\n",
              "     departure_time_programmed_timeofday_cos  \\\n",
              "272                                -0.670345   \n",
              "273                                 0.864630   \n",
              "274                                -0.202893   \n",
              "275                                 0.491709   \n",
              "276                                 0.999985   \n",
              "\n",
              "     departure_time_programmed_weekday_sin  \\\n",
              "272                              -0.756802   \n",
              "273                              -0.756802   \n",
              "274                              -0.756802   \n",
              "275                              -0.756802   \n",
              "276                              -0.756802   \n",
              "\n",
              "     departure_time_programmed_weekday_cos  \\\n",
              "272                              -0.653644   \n",
              "273                              -0.653644   \n",
              "274                              -0.653644   \n",
              "275                              -0.653644   \n",
              "276                              -0.653644   \n",
              "\n",
              "     departure_time_programmed_month_sin  departure_time_programmed_month_cos  \\\n",
              "272                             0.841471                             0.540302   \n",
              "273                             0.841471                             0.540302   \n",
              "274                             0.841471                             0.540302   \n",
              "275                             0.841471                             0.540302   \n",
              "276                             0.841471                             0.540302   \n",
              "\n",
              "     departure_time_actual_timeofday_sin  departure_time_actual_timeofday_cos  \\\n",
              "272                             0.004703                             0.999989   \n",
              "273                            -0.576776                             0.816902   \n",
              "274                            -0.687104                            -0.726559   \n",
              "275                            -0.910767                             0.412920   \n",
              "276                            -0.082873                             0.996560   \n",
              "\n",
              "     departure_time_actual_weekday_sin  departure_time_actual_weekday_cos  \\\n",
              "272                          -0.756802                          -0.653644   \n",
              "273                          -0.756802                          -0.653644   \n",
              "274                          -0.756802                          -0.653644   \n",
              "275                          -0.756802                          -0.653644   \n",
              "276                          -0.756802                          -0.653644   \n",
              "\n",
              "     departure_time_actual_month_sin  departure_time_actual_month_cos  \\\n",
              "272                         0.841471                         0.540302   \n",
              "273                         0.841471                         0.540302   \n",
              "274                         0.841471                         0.540302   \n",
              "275                         0.841471                         0.540302   \n",
              "276                         0.841471                         0.540302   \n",
              "\n",
              "     arrival_time_programmed_timeofday_sin  \\\n",
              "272                              -0.262084   \n",
              "273                              -0.262084   \n",
              "274                              -0.714244   \n",
              "275                               0.466919   \n",
              "276                              -0.544982   \n",
              "\n",
              "     arrival_time_programmed_timeofday_cos  \\\n",
              "272                               0.965045   \n",
              "273                               0.965045   \n",
              "274                               0.699897   \n",
              "275                              -0.884300   \n",
              "276                              -0.838448   \n",
              "\n",
              "     arrival_time_programmed_weekday_sin  arrival_time_programmed_weekday_cos  \\\n",
              "272                            -0.958924                             0.283662   \n",
              "273                            -0.958924                             0.283662   \n",
              "274                            -0.958924                             0.283662   \n",
              "275                            -0.958924                             0.283662   \n",
              "276                            -0.958924                             0.283662   \n",
              "\n",
              "     arrival_time_programmed_month_sin  arrival_time_programmed_month_cos  \\\n",
              "272                           0.841471                           0.540302   \n",
              "273                           0.841471                           0.540302   \n",
              "274                           0.841471                           0.540302   \n",
              "275                           0.841471                           0.540302   \n",
              "276                           0.841471                           0.540302   \n",
              "\n",
              "     arrival_time_actual_timeofday_sin  arrival_time_actual_timeofday_cos  \\\n",
              "272                          -0.912847                           0.408302   \n",
              "273                           0.543768                          -0.839235   \n",
              "274                          -0.980359                          -0.197223   \n",
              "275                           0.581200                           0.813761   \n",
              "276                          -0.345914                           0.938266   \n",
              "\n",
              "     arrival_time_actual_weekday_sin  arrival_time_actual_weekday_cos  \\\n",
              "272                        -0.958924                         0.283662   \n",
              "273                        -0.958924                         0.283662   \n",
              "274                        -0.958924                         0.283662   \n",
              "275                        -0.958924                         0.283662   \n",
              "276                        -0.958924                         0.283662   \n",
              "\n",
              "     arrival_time_actual_month_sin  arrival_time_actual_month_cos  \\\n",
              "272                       0.841471                       0.540302   \n",
              "273                       0.841471                       0.540302   \n",
              "274                       0.841471                       0.540302   \n",
              "275                       0.841471                       0.540302   \n",
              "276                       0.841471                       0.540302   \n",
              "\n",
              "     driver_average_speed  \n",
              "272              0.006170  \n",
              "273              0.030572  \n",
              "274              0.327056  \n",
              "275              0.247407  \n",
              "276              1.161697  \n",
              "\n",
              "[5 rows x 59 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "Company 9 Route 2932:\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<div>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>id_driver</th>\n",
              "      <th>id_vehicle</th>\n",
              "      <th>infraction_abrupt_accelerations</th>\n",
              "      <th>infraction_abrupt_brakings</th>\n",
              "      <th>infraction_speedings</th>\n",
              "      <th>data_average_speed</th>\n",
              "      <th>data_ignition_time</th>\n",
              "      <th>data_moving_time</th>\n",
              "      <th>data_total_distance</th>\n",
              "      <th>data_total_time_programmed</th>\n",
              "      <th>data_total_time_actual</th>\n",
              "      <th>departure_location</th>\n",
              "      <th>departure_time_programmed</th>\n",
              "      <th>departure_time_actual</th>\n",
              "      <th>arrival_location</th>\n",
              "      <th>arrival_time_programmed</th>\n",
              "      <th>arrival_time_actual</th>\n",
              "      <th>depart_rainfall</th>\n",
              "      <th>depart_temp</th>\n",
              "      <th>arrive_rainfall</th>\n",
              "      <th>arrive_temp</th>\n",
              "      <th>departure_time_programmed_timeofday</th>\n",
              "      <th>departure_time_programmed_weekday</th>\n",
              "      <th>departure_time_programmed_month</th>\n",
              "      <th>...</th>\n",
              "      <th>departure_time_programmed_timeofday_sin</th>\n",
              "      <th>departure_time_programmed_timeofday_cos</th>\n",
              "      <th>departure_time_programmed_weekday_sin</th>\n",
              "      <th>departure_time_programmed_weekday_cos</th>\n",
              "      <th>departure_time_programmed_month_sin</th>\n",
              "      <th>departure_time_programmed_month_cos</th>\n",
              "      <th>departure_time_actual_timeofday_sin</th>\n",
              "      <th>departure_time_actual_timeofday_cos</th>\n",
              "      <th>departure_time_actual_weekday_sin</th>\n",
              "      <th>departure_time_actual_weekday_cos</th>\n",
              "      <th>departure_time_actual_month_sin</th>\n",
              "      <th>departure_time_actual_month_cos</th>\n",
              "      <th>arrival_time_programmed_timeofday_sin</th>\n",
              "      <th>arrival_time_programmed_timeofday_cos</th>\n",
              "      <th>arrival_time_programmed_weekday_sin</th>\n",
              "      <th>arrival_time_programmed_weekday_cos</th>\n",
              "      <th>arrival_time_programmed_month_sin</th>\n",
              "      <th>arrival_time_programmed_month_cos</th>\n",
              "      <th>arrival_time_actual_timeofday_sin</th>\n",
              "      <th>arrival_time_actual_timeofday_cos</th>\n",
              "      <th>arrival_time_actual_weekday_sin</th>\n",
              "      <th>arrival_time_actual_weekday_cos</th>\n",
              "      <th>arrival_time_actual_month_sin</th>\n",
              "      <th>arrival_time_actual_month_cos</th>\n",
              "      <th>driver_average_speed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6571</th>\n",
              "      <td>235</td>\n",
              "      <td>3472.0</td>\n",
              "      <td>3597.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.310016</td>\n",
              "      <td>-0.151198</td>\n",
              "      <td>-0.109108</td>\n",
              "      <td>-0.059996</td>\n",
              "      <td>39600.0</td>\n",
              "      <td>35100.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 05:40:00</td>\n",
              "      <td>2018-01-23 06:01:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:40:00</td>\n",
              "      <td>2018-01-23 15:46:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>20400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.997682</td>\n",
              "      <td>0.068051</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.958401</td>\n",
              "      <td>-0.285425</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.957467</td>\n",
              "      <td>-0.288544</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748321</td>\n",
              "      <td>-0.663337</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.286566</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6572</th>\n",
              "      <td>236</td>\n",
              "      <td>3843.0</td>\n",
              "      <td>3747.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.055501</td>\n",
              "      <td>-0.202096</td>\n",
              "      <td>0.085741</td>\n",
              "      <td>-0.238016</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>35820.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 06:30:00</td>\n",
              "      <td>2018-01-23 07:00:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 16:30:00</td>\n",
              "      <td>2018-01-23 16:57:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>23400</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.988337</td>\n",
              "      <td>0.152285</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.959529</td>\n",
              "      <td>-0.281609</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.943783</td>\n",
              "      <td>0.330565</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.748561</td>\n",
              "      <td>-0.663066</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.263075</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6573</th>\n",
              "      <td>237</td>\n",
              "      <td>3523.0</td>\n",
              "      <td>3742.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.564531</td>\n",
              "      <td>-0.155689</td>\n",
              "      <td>0.060350</td>\n",
              "      <td>-0.176443</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34740.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 09:45:00</td>\n",
              "      <td>2018-01-23 10:04:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-23 19:45:00</td>\n",
              "      <td>2018-01-23 19:43:00</td>\n",
              "      <td>-0.939394</td>\n",
              "      <td>0.125</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>35100</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.849332</td>\n",
              "      <td>-0.527859</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.987553</td>\n",
              "      <td>0.157289</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.501158</td>\n",
              "      <td>0.865356</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.910468</td>\n",
              "      <td>0.413579</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.006687</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6574</th>\n",
              "      <td>238</td>\n",
              "      <td>5533.0</td>\n",
              "      <td>3679.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>-0.005582</td>\n",
              "      <td>-0.146707</td>\n",
              "      <td>0.106385</td>\n",
              "      <td>-0.230692</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>34860.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:00:00</td>\n",
              "      <td>2018-01-23 15:22:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:00:00</td>\n",
              "      <td>2018-01-24 01:03:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54000</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>0.742049</td>\n",
              "      <td>-0.670345</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.300329</td>\n",
              "      <td>-0.953836</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.262084</td>\n",
              "      <td>0.965045</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.616302</td>\n",
              "      <td>-0.787510</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.373136</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6575</th>\n",
              "      <td>239</td>\n",
              "      <td>3468.0</td>\n",
              "      <td>4083.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.648011</td>\n",
              "      <td>-0.282934</td>\n",
              "      <td>0.016817</td>\n",
              "      <td>-0.249018</td>\n",
              "      <td>36000.0</td>\n",
              "      <td>31920.0</td>\n",
              "      <td>Medellin</td>\n",
              "      <td>2018-01-23 15:01:00</td>\n",
              "      <td>2018-01-23 15:21:00</td>\n",
              "      <td>Bogota</td>\n",
              "      <td>2018-01-24 01:01:00</td>\n",
              "      <td>2018-01-24 00:13:00</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>0.000</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.272727</td>\n",
              "      <td>54060</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.502409</td>\n",
              "      <td>0.864630</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.576776</td>\n",
              "      <td>0.816902</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>-0.044544</td>\n",
              "      <td>-0.999007</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.773929</td>\n",
              "      <td>0.633273</td>\n",
              "      <td>0.909297</td>\n",
              "      <td>-0.416147</td>\n",
              "      <td>0.841471</td>\n",
              "      <td>0.540302</td>\n",
              "      <td>0.515664</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 59 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      index  id_driver  id_vehicle  infraction_abrupt_accelerations  \\\n",
              "6571    235     3472.0      3597.0                              0.0   \n",
              "6572    236     3843.0      3747.0                              0.0   \n",
              "6573    237     3523.0      3742.0                              1.0   \n",
              "6574    238     5533.0      3679.0                              1.0   \n",
              "6575    239     3468.0      4083.0                              0.0   \n",
              "\n",
              "      infraction_abrupt_brakings  infraction_speedings  data_average_speed  \\\n",
              "6571                         0.0                   1.0            0.310016   \n",
              "6572                         0.0                   0.0            0.055501   \n",
              "6573                         0.0                   1.0            0.564531   \n",
              "6574                         1.0                   1.0           -0.005582   \n",
              "6575                         2.0                   0.0            0.648011   \n",
              "\n",
              "      data_ignition_time  data_moving_time  data_total_distance  \\\n",
              "6571           -0.151198         -0.109108            -0.059996   \n",
              "6572           -0.202096          0.085741            -0.238016   \n",
              "6573           -0.155689          0.060350            -0.176443   \n",
              "6574           -0.146707          0.106385            -0.230692   \n",
              "6575           -0.282934          0.016817            -0.249018   \n",
              "\n",
              "      data_total_time_programmed  data_total_time_actual departure_location  \\\n",
              "6571                     39600.0                 35100.0           Medellin   \n",
              "6572                     36000.0                 35820.0           Medellin   \n",
              "6573                     36000.0                 34740.0           Medellin   \n",
              "6574                     36000.0                 34860.0           Medellin   \n",
              "6575                     36000.0                 31920.0           Medellin   \n",
              "\n",
              "     departure_time_programmed departure_time_actual arrival_location  \\\n",
              "6571       2018-01-23 05:40:00   2018-01-23 06:01:00           Bogota   \n",
              "6572       2018-01-23 06:30:00   2018-01-23 07:00:00           Bogota   \n",
              "6573       2018-01-23 09:45:00   2018-01-23 10:04:00           Bogota   \n",
              "6574       2018-01-23 15:00:00   2018-01-23 15:22:00           Bogota   \n",
              "6575       2018-01-23 15:01:00   2018-01-23 15:21:00           Bogota   \n",
              "\n",
              "     arrival_time_programmed arrival_time_actual  depart_rainfall  \\\n",
              "6571     2018-01-23 16:40:00 2018-01-23 15:46:00        -0.939394   \n",
              "6572     2018-01-23 16:30:00 2018-01-23 16:57:00        -0.939394   \n",
              "6573     2018-01-23 19:45:00 2018-01-23 19:43:00        -0.939394   \n",
              "6574     2018-01-24 01:00:00 2018-01-24 01:03:00        -1.000000   \n",
              "6575     2018-01-24 01:01:00 2018-01-24 00:13:00        -1.000000   \n",
              "\n",
              "      depart_temp  arrive_rainfall  arrive_temp  \\\n",
              "6571        0.125             -1.0    -0.272727   \n",
              "6572        0.125             -1.0    -0.272727   \n",
              "6573        0.125             -1.0    -0.272727   \n",
              "6574        0.000             -1.0    -0.272727   \n",
              "6575        0.000             -1.0    -0.272727   \n",
              "\n",
              "      departure_time_programmed_timeofday  departure_time_programmed_weekday  \\\n",
              "6571                                20400                                  1   \n",
              "6572                                23400                                  1   \n",
              "6573                                35100                                  1   \n",
              "6574                                54000                                  1   \n",
              "6575                                54060                                  1   \n",
              "\n",
              "      departure_time_programmed_month  ...  \\\n",
              "6571                                1  ...   \n",
              "6572                                1  ...   \n",
              "6573                                1  ...   \n",
              "6574                                1  ...   \n",
              "6575                                1  ...   \n",
              "\n",
              "      departure_time_programmed_timeofday_sin  \\\n",
              "6571                                -0.997682   \n",
              "6572                                 0.988337   \n",
              "6573                                 0.849332   \n",
              "6574                                 0.742049   \n",
              "6575                                -0.502409   \n",
              "\n",
              "      departure_time_programmed_timeofday_cos  \\\n",
              "6571                                 0.068051   \n",
              "6572                                 0.152285   \n",
              "6573                                -0.527859   \n",
              "6574                                -0.670345   \n",
              "6575                                 0.864630   \n",
              "\n",
              "      departure_time_programmed_weekday_sin  \\\n",
              "6571                               0.841471   \n",
              "6572                               0.841471   \n",
              "6573                               0.841471   \n",
              "6574                               0.841471   \n",
              "6575                               0.841471   \n",
              "\n",
              "      departure_time_programmed_weekday_cos  \\\n",
              "6571                               0.540302   \n",
              "6572                               0.540302   \n",
              "6573                               0.540302   \n",
              "6574                               0.540302   \n",
              "6575                               0.540302   \n",
              "\n",
              "      departure_time_programmed_month_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.841471   \n",
              "6575                             0.841471   \n",
              "\n",
              "      departure_time_programmed_month_cos  \\\n",
              "6571                             0.540302   \n",
              "6572                             0.540302   \n",
              "6573                             0.540302   \n",
              "6574                             0.540302   \n",
              "6575                             0.540302   \n",
              "\n",
              "      departure_time_actual_timeofday_sin  \\\n",
              "6571                             0.958401   \n",
              "6572                            -0.959529   \n",
              "6573                            -0.987553   \n",
              "6574                             0.300329   \n",
              "6575                            -0.576776   \n",
              "\n",
              "      departure_time_actual_timeofday_cos  departure_time_actual_weekday_sin  \\\n",
              "6571                            -0.285425                           0.841471   \n",
              "6572                            -0.281609                           0.841471   \n",
              "6573                             0.157289                           0.841471   \n",
              "6574                            -0.953836                           0.841471   \n",
              "6575                             0.816902                           0.841471   \n",
              "\n",
              "      departure_time_actual_weekday_cos  departure_time_actual_month_sin  \\\n",
              "6571                           0.540302                         0.841471   \n",
              "6572                           0.540302                         0.841471   \n",
              "6573                           0.540302                         0.841471   \n",
              "6574                           0.540302                         0.841471   \n",
              "6575                           0.540302                         0.841471   \n",
              "\n",
              "      departure_time_actual_month_cos  arrival_time_programmed_timeofday_sin  \\\n",
              "6571                         0.540302                               0.957467   \n",
              "6572                         0.540302                              -0.943783   \n",
              "6573                         0.540302                              -0.501158   \n",
              "6574                         0.540302                              -0.262084   \n",
              "6575                         0.540302                              -0.044544   \n",
              "\n",
              "      arrival_time_programmed_timeofday_cos  \\\n",
              "6571                              -0.288544   \n",
              "6572                               0.330565   \n",
              "6573                               0.865356   \n",
              "6574                               0.965045   \n",
              "6575                              -0.999007   \n",
              "\n",
              "      arrival_time_programmed_weekday_sin  \\\n",
              "6571                             0.841471   \n",
              "6572                             0.841471   \n",
              "6573                             0.841471   \n",
              "6574                             0.909297   \n",
              "6575                             0.909297   \n",
              "\n",
              "      arrival_time_programmed_weekday_cos  arrival_time_programmed_month_sin  \\\n",
              "6571                             0.540302                           0.841471   \n",
              "6572                             0.540302                           0.841471   \n",
              "6573                             0.540302                           0.841471   \n",
              "6574                            -0.416147                           0.841471   \n",
              "6575                            -0.416147                           0.841471   \n",
              "\n",
              "      arrival_time_programmed_month_cos  arrival_time_actual_timeofday_sin  \\\n",
              "6571                           0.540302                          -0.748321   \n",
              "6572                           0.540302                          -0.748561   \n",
              "6573                           0.540302                          -0.910468   \n",
              "6574                           0.540302                          -0.616302   \n",
              "6575                           0.540302                           0.773929   \n",
              "\n",
              "      arrival_time_actual_timeofday_cos  arrival_time_actual_weekday_sin  \\\n",
              "6571                          -0.663337                         0.841471   \n",
              "6572                          -0.663066                         0.841471   \n",
              "6573                           0.413579                         0.841471   \n",
              "6574                          -0.787510                         0.909297   \n",
              "6575                           0.633273                         0.909297   \n",
              "\n",
              "      arrival_time_actual_weekday_cos  arrival_time_actual_month_sin  \\\n",
              "6571                         0.540302                       0.841471   \n",
              "6572                         0.540302                       0.841471   \n",
              "6573                         0.540302                       0.841471   \n",
              "6574                        -0.416147                       0.841471   \n",
              "6575                        -0.416147                       0.841471   \n",
              "\n",
              "      arrival_time_actual_month_cos  driver_average_speed  \n",
              "6571                       0.540302             -0.286566  \n",
              "6572                       0.540302              0.263075  \n",
              "6573                       0.540302              0.006687  \n",
              "6574                       0.540302              0.373136  \n",
              "6575                       0.540302              0.515664  \n",
              "\n",
              "[5 rows x 59 columns]"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IobCYLUgN-W7",
        "colab_type": "text"
      },
      "source": [
        "# **Analysis**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q7au8J2OJFpk",
        "colab_type": "text"
      },
      "source": [
        "Seperating the Data into Train/Test Splits"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kB5deFDaCZ4a",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "'''\n",
        "  We're omitting all the features that aren't available until\n",
        "  after the trip has been completed.\n",
        "'''\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from sklearn.model_selection import KFold\n",
        "from sklearn.model_selection import cross_val_score, cross_val_predict\n",
        "\n",
        "# Combine data for both routes\n",
        "bog_med = company_dataframes[9]['2857']\n",
        "med_bog = company_dataframes[9]['2932']\n",
        "# full_df = pd.concat(bog_med, med_bog)\n",
        "\n",
        "# Separate data into features and target\n",
        "features = ['departure_time_programmed_month_sin', 'departure_time_programmed_month_cos',\n",
        "            'departure_time_programmed_weekday_sin', 'departure_time_programmed_weekday_cos',\n",
        "            'departure_time_programmed_timeofday_sin', 'departure_time_programmed_timeofday_cos',\n",
        "            'depart_temp', 'depart_rainfall', 'data_total_distance',\n",
        "            'driver_average_speed']\n",
        "X = bog_med[features].values\n",
        "y = bog_med['data_total_time_actual']\n",
        "\n",
        "# 10-fold cross validation\n",
        "kfold = KFold(n_splits=10)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SXFk6BxkVMy4",
        "colab_type": "code",
        "outputId": "16082537-8dc2-4612-bc20-58f240432d49",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 33
        }
      },
      "source": [
        "from sklearn.metrics import mean_squared_error\n",
        "import math\n",
        "\n",
        "def error_to_hours(mse):\n",
        "  if mse < 0:\n",
        "    mse = -mse\n",
        "  \n",
        "  return round(math.sqrt(mse), 3) / 60 / 60 # sqrt the error & convert to minutes then hours\n",
        "\n",
        "# Control/Programmed time\n",
        "y_actual = np.array(y)\n",
        "y_programmed = np.array(bog_med['data_total_time_programmed'])\n",
        "\n",
        "results = mean_squared_error(y_actual, y_programmed)\n",
        "\n",
        "print('Scoring Result: MSE=', error_to_hours(results), 'hours')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Scoring Result: MSE= 1.9955305555555554 hours\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RCTGVBh8MBuO",
        "colab_type": "code",
        "outputId": "a2d524b1-8375-462a-8d20-02b6781862f5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "model = LinearRegression().fit(X, y)\n",
        "predicted = cross_val_predict(model, X, y, cv=kfold)\n",
        "results = cross_val_score(model, X, y, cv=kfold, scoring='neg_mean_squared_error')\n",
        "print('Linear Regression')\n",
        "print('\\tCV Scoring Result: mean=',np.mean(results),'std=',np.std(results))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Linear Regression\n",
            "\tCV Scoring Result: mean= -39856170.978637084 std= 48215967.34673626\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "58dOfsaVKsjX",
        "colab_type": "code",
        "outputId": "bc134d49-4547-4f98-a174-0e8393cc7a84",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "results"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([-2.41574107e+07, -3.25684772e+07, -1.97503206e+07, -2.28664515e+07,\n",
              "       -1.76352154e+07, -2.87017538e+07, -2.01478331e+07, -2.36325370e+07,\n",
              "       -2.51319766e+07, -1.83969734e+08])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v58_DEWtJusl",
        "colab_type": "code",
        "outputId": "2606b5a3-f175-4071-eb17-4024104d6686",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "from sklearn.ensemble import RandomForestRegressor\n",
        "\n",
        "# create random forst\n",
        "model = RandomForestRegressor(max_depth=20, n_estimators=100, random_state=0)\n",
        "\n",
        "predicted = cross_val_predict(model, X, y, cv=kfold)\n",
        "results = cross_val_score(model, X, y, cv=kfold, scoring='neg_mean_squared_error')\n",
        "\n",
        "print('Random Forest')\n",
        "print('CV Scoring Result: mean=',np.mean(results),'std=',np.std(results))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Random Forest\n",
            "CV Scoring Result: mean= -36933613.10965449 std= 48481312.33848913\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0jzL4HP3DXgU",
        "colab_type": "code",
        "outputId": "bfe8e328-83a1-4db5-d5a5-0c651fa84ba7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 495
        }
      },
      "source": [
        "'''\n",
        "  Let's look at importance of each variable determined by Random Forests.\n",
        "'''\n",
        "from sklearn.model_selection import cross_validate\n",
        "\n",
        "rf_trained = cross_validate(model, X, y, cv=kfold, scoring='neg_mean_squared_error', return_estimator=True)\n",
        "\n",
        "var_imp = pd.DataFrame(columns=features)\n",
        "for idx,estimator in enumerate(rf_trained['estimator']):\n",
        "  curr = dict(zip(features, estimator.feature_importances_.T))\n",
        "  var_imp = var_imp.append(curr, ignore_index=True)\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "\n",
        "var_imp = var_imp.mean().sort_values(ascending=False)\n",
        "\n",
        "heights = var_imp.values\n",
        "ax.bar(np.arange(len(heights)), heights)\n",
        "plt.xticks(np.arange(len(heights)))\n",
        "ax.set_xticklabels(var_imp.keys(), rotation=90)\n",
        "fig.set_size_inches(6, 4)\n",
        "ax.set_title('Variable Importance')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BZwLbA0dKWm/yuh8EQRBMxDAW/fbAItvX2b4XOBnYq36A7bNt31VtXgBsWH1+CXCG7dts3w6cAew6OV0PgiAIhmEYRb8BcGNt+6aqbSwOBH76EM8NgiAIJplVJ/Nikl4NzAKev4LnHQQcBLDxxhtPZpeCIAg6zzAW/c3ARrXtDau2ZZC0E/ABYE/b96zIubaPsz3L9qypU6cO2/cgCIJgCIZR9POAGZKmS1od2A+YUz9A0jbAsSQl/+fartOBXSStV03C7lK1BUEQBJmY0HVj+35Jh5AU9BTgeNsLJM0G5tueA3waeBTwXUkAv7e9p+3bJH2E9GMBMNv2bY18kyAIgmAgQ/nobc8F5va1fbj2eadxzj0eOP6hdjAIgiBYOSIzNgiCYMQJRR8EQTDihKIPgiAYcULRB0EQjDih6IMgCEacUPRBEAQjTij6IAiCEScUfRAEwYgTij4IgmDECUUfBEEw4oSiD4IgGHFC0QdBEIw4oeiDIAhGnFD0QRAEI04o+iAIghEnFH0QBMGIE4o+CIJgxBlK0UvaVdJCSYskHTFg//MkXSLpfkn79O17QNJl1WtO/7lBEARBs0y4lKCkKcCXgJ2Bm4B5kubYvrp22O+B1wHvGnCJf9jeehL6GgRBEDwEhlkzdntgke3rACSdDOwFLFH0tm+o9j3YQB+DIAiClWAY180GwI217ZuqtmFZU9J8SRdI2nvQAZIOqo6Zf8stt6zApYMgCIKJyDEZu4ntWcArgf+StGn/AbaPsz3L9qypU6dm6FIQBEF3GEbR3wxsVNvesGobCts3V+/XAecA26xA/4IgCIKVZBhFPw+YIWm6pNWB/YChomckrSdpjerz+sBzqPn2gyAIguaZcDLW9v2SDgFOB6YAx9teIGk2MN/2HEnbAT8A1gP2kPTvtp8GPBU4tpqkXQX4RF+0zkgx7YifNC7jhk+8tHEZQRCMFsNE3WB7LjC3r+3Dtc/zSC6d/vPOB7ZYyT4GQRAEK0FkxgZBEIw4oeiDIAhGnFD0QRAEI04o+iAIghEnFH0QBMGIE4o+CIJgxAlFHwRBMOKEog+CIBhxQtEHQRCMOKHogyAIRpxQ9EEQBCNOKPogCIIRJxR9EATBiBOKPgiCYMQZqkxx0H6iFn4QBGMRFn0QBMGIE4o+CIJgxBlK0UvaVdJCSYskHTFg//MkXSLpfkn79O07QNI11euAyep4EARBMBwTKnpJU4AvAbsBM4H9Jc3sO+z3wOuAk/rOfQxwJPBMYHvgSEnrrXy3gyAIgmEZxqLfHlhk+zrb9wInA3vVD7B9g+0rgAf7zn0JcIbt22zfDpwB7DoJ/Q6CIAiGZBhFvwFwY237pqptGIY6V9JBkuZLmn/LLbcMeekgCIJgGFoxGWv7ONuzbM+aOnVq6e4EQRCMFMMo+puBjWrbG1Ztw7Ay5wZBEASTwDCKfh4wQ9J0SasD+wFzhrz+6cAuktarJmF3qdqCIAiCTEyo6G3fDxxCUtC/AU6xvUDSbEl7AkjaTtJNwL7AsZIWVOfeBnyE9GMxD5hdtQVBEASZGKoEgu25wNy+tg/XPs8juWUGnXs8cPxK9DEIgiBYCVoxGRsEQRA0Ryj6IAiCESeqVwYrTVTODIJ2ExZ9EATBiBOKPgiCYMQJRR8EQTDihKIPgiAYcULRB0EQjDih6IMgCEacUPRBEAQjTij6IAiCEScUfRAEwYgTij4IgmDECUUfBEEw4oSiD4IgGHFC0QdBEIw4oeiDIAhGnKEUvaRdJS2UtEjSEQP2ryHpO9X+CyVNq9qnSfqHpMuq1zGT2/0gCIJgIiasRy9pCvAlYGfgJmCepDm2r64ddiBwu+0nS9oP+CTwimrftba3nuR+B0EQBEMyzMIj2wOLbF8HIOlkYC+gruj3Ao6qPn8POFqSJrGfQTCQkouexIIrwcOFYVw3GwA31rZvqtoGHmP7fuAO4LHVvumSLpV0rqTnDhIg6SBJ8yXNv+WWW1boCwRBEATj0/Rk7B+AjW1vAxwOnCRpnf6DbB9ne5btWVOnTm24S0EQBN1iGEV/M7BRbXvDqm3gMZJWBdYFbrV9j+1bAWxfDFwLPGVlOx0EQRAMzzCKfh4wQ9J0SasD+wFz+o6ZAxxQfd4H+F/bljS1msxF0pOAGcB1k9P1IAiCYBgmnIy1fb+kQ4DTgSnA8bYXSJoNzLc9B/g68C1Ji4DbSD8GAM8DZku6D3gQeIvt25r4IkHQJWIiOFgRhom6wfZcYG5f24drn+8G9h1w3qnAqSvZxyAIWkT8yDz8GErRB0EQtIH4kXloRAmEIAiCEScUfRAEwYgTij4IgmDECUUfBEEw4sRkbBAEwRA8nCeCw6IPgiAYcULRB0EQjDih6IMgCEacUPRBEAQjTij6IAiCEScUfRAEwYgTij4IgmDECUUfBEEw4oSiD4IgGHFC0QdBEIw4oeiDIAhGnKEUvaRdJS2UtEjSEQP2ryHpO9X+CyVNq+17X9W+UNJLJq/rQRAEwTBMqOirxb2/BOwGzAT2lzSz77ADgdttPxn4HPDJ6tyZpPVjnwbsCny5t1h4EARBkIdhLPrtgUW2r7N9L3AysFffMXsB36w+fw94sSRV7Sfbvsf29cCi6npBEARBJmR7/AOkfYBdbb+x2n4N8Ezbh9SOuao65qZq+1rgmcBRwAW2v121fx34qe3v9ck4CDio2twMWLjyX21o1gf+klFeyA7ZIbs78nPK3sT21EE7WlGP3vZxwHElZEuab3tWyA7ZIXv0ZJeWX/q79xjGdXMzsFFte8OqbeAxklYF1gVuHfLcIAiCoEGGUfTzgBmSpktanTS5OqfvmDnAAdXnfYD/dfIJzQH2q6JypgMzgIsmp+tBEATBMEzourF9v6RDgNOBKcDxthdImg3Mtz0H+DrwLUmLgNtIPwZUx50CXA3cDxxs+4GGvstDpYjLKGSH7JDdCfmlvzswxGRsEARB8PAmMmODIAhGnFD0QRAEI04o+iAIghGns4pe0iMkbVa6H0HQJJJWl7SlpC2qqLmgg7QiYSo3kvYAPgOsDkyXtDUw2/aeDcr8IjDmzLfttzclu9aHTwEfBf4B/AzYEnhnL3M5g/wpwOOpPXe2f59J9rOBaX2yT8wgt9g9l/RS4BjgWkCkZ/3Ntn+aQfa+wM9sL5b0QWBb4KO2L2ladhso9byNRVct+qNINXf+CmD7MmB6wzLnAxcDa5Ie+muq19akH5wc7GL7TmB34AbgycC7cwiWdCjwJ+AM4CfV67RMsr9F+mHfEdiueuXKVix2z4H/BF5o+wW2nw+8kFR0MAcfqpT8jsBOpBDsrzQtVNJiSXcOeC2WdGfT8qs+lHzeBtJJix64z/Ydqe7aEhqNM7X9TQBJbwV2tH1/tX0M8MsmZdfo/b1fCnx3wD1oksOAzWzfmktgjVnATJeJJS55zxfbXlTbvg5YnEl2L1/mpcBxtn8i6aNNC7W9dtMyhqDk8zaQrir6BZJeCUyRNAN4O3B+JtnrAeuQEssAHlW15eA0Sb8luRHeKmkqcHcm2TcCd2SS1c9VwBOAPxSQXfKez5c0FziFZMjsC8yT9DIA299vUPbNko4FdgY+KWkNMngQJD1mvP22bxtv/yRR8nkbSCcTpiStBXwA2KVqOp3kP2z8H1DS60muo7NJftPnAUf1LP4M8h8D3GH7geo+rGP7jxnkfp1UmfQnwD29dtufzSD7bJKL7KI+2Y3NyfTJL3XPTxhnt22/oUHZa5HWoLjS9jWS/gnYwvbPm5JZyb2e9KM2aNhk209qUn7Vh6LP28A+dVHRl0bSE0hlnAEuzPFPX8ldDXgr6ccF4FzgGNv3ZZB95KB22/+eQfbzx5B9bgbZxe55aSRtBTy32vyl7ctL9icXJZ+3seikopd0BrCv7b9W2+uRFkhpfKnDakGWVwFPsj1b0sbAE2w3XuxN0teA1Vi6SMxrgAd6aw0Ek0/Je14VEjyU5aM/GrcsJR0GvAnouYf+heSr/2LTsmt9WI9USHHNXpvtX+SS3ya6qugvtb3NRG0Nyf4K8CDwIttPrR7Gn9veLoPsy21vNVHbJMv8L9vvkPRjBkx4NxzS+ivbO0pa3CdbSbTXaUp2rQ/Z73ldDina5UrSMwdkG8lcATzL9t+r7UcCv7a9ZdOyK3lvJAUAbAhcBuxQyX9RgzKLP29j0dXJ2AclbdyL4Za0CQ1H3dR4pu1tJV0KYPv2jIksD0ja1Pa1AJKexNLoiKb4VvX+mYblLIftHav3kpEYJe55j7ttfyGTrH7Est/zAQb7zZviMFJY4wW2Xyhpc+A/mhTYkudtIF1V9B8AfiXpXNLD91yWLmXYNPdViUMGqKIwHhz/lEnj3cDZkq4jfe9NgNc3KdD2xdX7EiuyGsVsZPuKJmXX5G0K3GT7HkkvICUtndhz3TVM9nte4/PV3MjPWXZSMEfS0gnAhZJ+UG3vTRpd5OJu23dLQtIatn+bKxO+8PM2uE9ddN0ASFqfNJyD9KufZV1HSa8CXgE8A/gGaaGWD9r+bib5a5CiXwAW2r5nvOMnUe45wJ4k4+Ji4M/AebYPzyD7MlJs8zRgLvAj4Gm2/7lp2ZX8Uvf846Q5gWtZaky4SfdFn/xtSUlDkCZjL80ht5L9A9IP6juAFwG3A6vl+JuXft4G9qnDin4DknVVn6TKMlFTDSNfTLLwzrL9m0xyDwb+u28Sen/bX84g+1Lb21S+041sHynpihw+W0mXVO6yd5MsvS9mnJMpec8XkRJ37m1a1gDZOwALbC+uttcBnmr7woblTrd9fV/b80nLm/4sx70o+byNRSdLIEj6JHAeyYXz7ur1roxdWB+4y/bRwF+q6IgcvKk+fLR9OykyIgerVrHU/0qm0gc17pO0P2m5y57s1TLJLnnPrwIenUlWP18B/lbb/hsZSiAA3wOQdFavwfa5tudk/MEr+bwNpKs++r1J6fhZhtB1Kp/pLNJQ/gTSA/Bt4DkZxE+RpF5qdjVXkGsieDYpMe1XtudVk5LXZJL9euAtwMdsX1/9sH5rgnMmi5L3/NHAbyXNI3/izpLvXMl8UFIOfbOKpPcDT5G0nFswR4IeZZ+3gXTSdSPpp6Q4+r9NePDky74M2Aa4pDeUy+jC+DTJXXVs1fRm4Ebb/9a07ImQ9D7bHy8k+1TbL2/o2sXueeFEse8D57DUin8bqcDa3g3L3YxkyL2DVLlzGXIk6E1Ek8/bmDI7quhPBbYCzmJZSydHqeCLbG9f8+Nliy+WtAopuminqukM4GtuwYLtvftRSHZj/tPS97wKHZ5h+0ylsgRTen7zhuU+DvgCaSLUpP+1d9j+c9OyK/m7OUM55odCCX99VxX9AYPanaHejKR3kbL1dgY+DrwBOClnxuBYlLA0arKLTVYV/pFpcjTxJtKPzGNsb6pUwO8Y2y9uQt6K0PQIrop0ejnLZwXPbkrmsJR43jrpo8+h0MeR/RlJOwN3Ak8BPmz7jFL96aPxgk/j0D2LI9HkPT+YtO7ChQBOxcUe16C8FWFfkqHTFD8iVUu9mNqovat0UtFXls3HgZksWwcjl6K7EngESbldmUnmMJRUtjmzJtsku8l7fo/te1XVv68mQ9vyg9r0Pd/Q9q4Ny3ioZH/eOhleSYp2+QpwP2nVnRNJkS+NU8WRXwS8jJQsdYGkxsrFPoxoLGFM0h6Vr3ws3tuU7MKcW0WgPKIaRX4X+HHhPvVo+gfnfElbNCxjIG183rrqo7/Y9jMkXWl7i3pbBtkLgWe7WmlJ0mOB820XX6i84UnJqaT48Wks6zNt/EdO0reBZwGnAsfb/m3TMoclw0TwgaR1FwScbvurTchaUZqek5F0NWnZxutJrpteYbEcQQ+te9466boB7qn+Ca6RdAhwM2mlpxzcyrLLuS2u2hpHaVH0n9geq7ZOk5bGj0hLJp5JvqJeANh+dZWZuT/wDUkmjer+p+kIlML3/FDbnweWKHdJh1VtpWm65MduDV9/TEo+b2PRVYt+O+A3pISSj5CW9vtU0+nZlewTgS1Iis/AXsAV1avRhI6Sloaky2xvnUveGH14LKn2yztIf/8nA19oMuKp8D1fLrojY+mHIiM4SevYvlNjLCnoPEsJ9vqS/Xkbs2pvaiAAACAASURBVC8dVfT7uq+I2KC2hmQPXGmpR9MJHTVL4/WkH5pclu1HSS6quU3KGUP2nqTv+2TSfMw3bf+5iiu/2va0huVnvedV+v0rSQXF6gvPrw08mCO8UtL5leyLqY3gbJ/asNzTbO+uwUsKOkfARennbWCfOqroB1k62WNbK/fRo2zfmVluNktDSxdhEPBIkr/0Psi6+Mc3ga97QNE6SS+2fdaA0ya7Dznv+SbAdFJk2RG1XYuBK2zfP9kyB/Sh+AiuFG143paT2yVFL2k34J9JhbW+U9u1DqnK3/YZ+nASqQ7GA8C8SvbnbX86g+zWWRqjTpvvuaRf235WQ9cuNoKr9SGWEqzo2mTs/wHzSXXRL661LwbemakPMysf4quAn5IsrouBxhU9KVPwc/0Pu+27JB3YpGBJZ/W7DAa1NSR7B+CLwFNJBcWmAH/PMZqg4D0fgjUnPmTF6BvBvV9S9hFc1Y+BSwmSSjI0Lbvk8zaQTil6p1XoL5d0ku37YMmv/kZO5WNzsJqk1UiFl462fV81K984tgeWfqj2NTKclLQmyWWzfnWvez7TdYANmpA5gKOB/UiRHrOA15KykhunxD1fASb9uXN7ltHLvpRgjWLP21h0NWHqDEnrVDPzlwBflfS5TLKPBW4gKb9fVP7ULD56STtImifpb5LulfSApKZlv5k0itqcNHLpvX5E+ofIgu1FpIJeD9g+AciSNVnonhdHtXrw47U1yN22767krlFFO2XLVSn1vI1Fpyz6GutW7pM3ktZyPFJp1frGcVqsecmCzZJ+T8rO7W0f0GAtnuyWRhWz/XlJhxYs3HaX0gLsl0n6FPAH8hk5rbPuakx6Kn5LRnAAN0l6NPBDkmF3O/C7TLJLPm8D6dRkbA9JV5KyBb8JfMBpIYwsNeEnosnoH0nzbc+qf9dccdWVrGezfFz1iRnkbkJao3Y10lzMusCXK6uradnF7rmkT9p+71htkp5u+6pJlnkYKbLoiaRExJ6ivxP4qtOqallR/qUEiz1vY/apo4p+X+BDpNWO3qa02tGnXahEb50mlYCkX5Dqon8N+CPJ0nid7a2akNcn+1vApqSJsV5ctZ1hDYCSFL7ng8KIcy1yU2wEp7SK1wLbm5eQ30Y6qejbTMMWfUnL9jekiKNsD1w1chtTXiaFl/2eS3oraUWnTYG6nLWB82y/uinZff0oMoKrZP+IVALi9znkVTKLP29j0SkfvaT32P6UpC8y4A/SEuuysRKmtns+yn8AuZdUuwp4AsmizcXu1fvB1Xtv3c5Xk6lcb6F7fhIpdHe5hKlcJQDGGsGRcglysB6wQNJFwN97jW52vdziz9tYdMqil7SH7R+r4ApTEyHpaNuHTPI1i1saks4GtiaVaM66UPUgd1jTmdCl73lp90WJEVyf/JLr5WZ/3iaiUxa97R9X78UUuqTHk+J5n2h7N0kzgWfZ/nrVt0lV8hVtsDSOyiRnEJL0HNvnVRvPpvkoiKL33PYDkhZK2jin+6JGiRHcEiZS6E1mBVPmeRu/Qx2z6H/M+FZWDuvyp6SiVh+wvZXSqj+XuqqL37DsopZG9SO3XbV5kfMtFL0t6Z6vWzX9FXiD7UsyyC52z6uJ4G1Io6hc7oue7GIjuGFoOOjhGcDxFHjexqJTFj3wmer9ZSRro7eq1P7AnzL1YX3bp0h6H4Dt+yXlqs9ezNKQ9K+kMg/nkOYhvijp3ba/16DMXu31R1Q/qusC2L6jKZmDu1HMuvtQJjmDOKqg7GFo0sK9qv950xhlk3PRKYu+Ry+2eaK2hmSfQ6p/cobtbZXqYnzS9kCf4iTLLmnZXg7s3LPileqVn9lkmKGqCool/aNttO5yUWoENwwNR7f9BNjLVZVQSU8gLT7T+Ap2Y9E1i77HIyU9yfZ1AJKmk7L5cnA4MAfYVNJ5wFTS2rGN0RLLdpW+f/Rbad6y/Y2ka4An9mU+Z1tWjoLWnQoW1yoxgltBmlyg+4fAdyXtA2xE+n9/V4PyJsZ2516kuhO/Jz2E55Jqz+ySUf6qwNOApwOrZZB3WfV+ScF7/mngdOB11eunpFW9mpb7BOByYJP+V6bv/RNg1b7+XJxJ9nxSeeRLSUr+9cDHM8m+HHhcbXsqcHkO2ZW8T47XBjy9YfkHkxZiv5K0RnSW7z3Wq5OuG0iFjkiFtgB+a/ue2r6dbZ/RkNyXDWi+A7jSDQ1tJf0Pqc7KE4Fr67vIZ9ki6eXAc6rNX9r+QQ65lezVWVpjZqGr6qUZ5L6JtAbCMtad7Z9nkF2y/MKVrgUYKC2yc7kzBB1U8rJnBUs6vL5Jqmt0BemHFje4TOhEdNV1Q6XYLx9j9yeBRhQ9cCBpDdGzq+0XkKo5Tpc02/a3xjrxoWJ7/8pPeDqpFn8RbJ8q6Qyq507SY5whgaeKqT6RNHITsJFS8bjGF6Gw/dXqR+aHpCzRN9s+v2m5FSWLa/1M0unA/1TbryCN4hqlnhXc565bGzivYfH9JZq/P0Z7djpr0Y9Hw6FXpwOvtf2navvxJCW0P/AL209vQm5NfinL9s2kzNC7gQdZOprIsYbnxcArbS+stp9CWrO1scmxNlh3VfmFP5H889mLa5UYwVVzIetRMCu41pe1bN+VU+ZYdNain4Amf/026in5ij9XbbdJalTplrRsSZNRT7f9lwyy+lmtp+QBbP8/pcVfmqS4dWf7d9UP+7RK/kJnqN5Yk599BOc02f03YBsvLT+RFUnPAr4OPArYWNJWpJHc20r0B0LRl+AcSaeR6pNDCrU8R9IjSaF3TfJZ0qTzMpYtkCPs61qglHUzX9LXWJo38SrSRGVj2F6mrk0J607SS4FjSPdeJPfgm23ncKEMHMEBjY/gXD4r+L+Al5DmY7B9uaTnFejHEkLRD+aGBq99MEm594a0JwKnOvnQXjjmWZNDCcu2x/uA8yVdyLKZkjkKyb2VdN97sn4JfDmD3NLW3X8CL+y5aiRtSooCalzRU3YEB2WKmi3B9o3SMhGcuZIiB9IpRT9GxMsSbH+/eh/3uJWhUujfq165yW7Z1jgW+F9SuNmDmWQCaeJd0ldISSsLJzxhcilp3S3u88dfByzOJLvkCA7KZgXfWGVAuzKkDgN+U7A/3VL0wB7j7DNL/aiNUTKJhYKWLWk0cfjEh00+kvYkxfGvTnJfbA3M7oB1N1/SXOAU0vO9LzCvZ/D0DJuGKDmCwxmqVI7DW4DPk5ZOvBn4OUuL2xWhU4re9utL94GCa4gWtmx/KukgUhJJ/R8/RyTEkcD2pAQ5bF9WZUPnoKR1tyYp6qZXXuMW4BEkg6dpw6bYCA7KGlSVu+pVTctZETql6OtUE1VPI/0zAGB7dg7ZthdJmmL7AeAESZeSLKBGKWzZ7l+9179nlsk54L4qGqPeliuuuJh1V9iwKTaCqyhmUFVBDl8BHm/76ZK2BPa0/dEc8gdRtEZyKSQdQ0rgOJQUDbAvKS0+B8sksUh6J/n+Dj3L9q+QLFsgi2Vre/qA1xIlL2nnBsUvkPRKYIqkGUorjGVJWrL9F9uvsv1424+z/Wrbt+aQLekpks6SdFW1vaWkD+aQTTWCk/RPkh7Te2WSDSSDCphi+wHbJ5BKn+TgqySD5r6qH1eQfnSK0UlFT6o98Vrg9ioM7llk+rUHXkO674eQogE2IkXh5OA+L1/IrC0Zc59s8NqHkkZv95DCSe8E3tGgvCUUVrYlFc7+lezzSZnfF5Nv4h/KGlRr2b6or+3+TLIH0lVF/4/q/S5JTyT9I/xT00KVlnf7D9t3277T9r/bPjxXpiIFLdshaHKt3Ltsf8D2drZnVZ/vbkpeHyWVbTGFU3gEB2UNqr9UoawGUKpiWWSlrR5d9dGfJunRJH/1JaQ/yNeaFlolcmwiafWcGYo1DgU+wFLL9nTgIwX6MYjGRhaSZgHvJ2WILnnmnaeY21q2L+qbH8hl3bVO4dRosp5U6azgg4HjgM0l3QxcT+HJ2a4q+k85FTU7tcpSXZOUwZeD64DzJM1h2USOxmufVJmZH6heXeK/gXdTJgKkpLJtncKp0WQ9+KJZwU7rXOxUZbuvYjtX7sKYdFXR/xrYFpZUsbxH0iW9toa5tnqtQuaqdoUt24m4ocFr32J7ToPXH4/syravoNpcUqXUVUiGxctJpTBK0/TcULGsYEnXAheQ8lR+CSxoWuZEdErRK5Xq3QB4hKRtWGpVrAOslaMPvRoohSrbZbds25CNDBxZZQSfxbIx/I0nyBWy7noGxGakpfx+RHrWX0NarLsLlMwKngk8E3gu8GlJmwFX2P6XTPKXo1OKnpSK/jpgQ5a1ahaTLN3GKVz7pIRl28tGfhzwbFISDaS6PueTIRuZtLLS5sBqLP2By5UJnd26qxkTvwC27f24SDqKZNW2gRsavn7JrOAHSJPvD5Cetz9Xr2J0sh69pJfbPrWQ7AtJqw3NcVXzXtJVbrgOfSXnxaSwt+yWraSfAwfY/kO1/U/AN2y/JIPshbY3a1rOGLLXYKl19xySlZ3FupO0ENiyck/2+nJFk/di2BFc00g6Yfxu+A0Nyr6LNGr+LHBmrryJ8eiaRd/jLEmfBXrFpc4lZYhmWSy7YO2TYpYtqeZ+fRLyT8DGGeRCqrky0/bVmeTVKWndnQhcJKm34MfewDcaltmGEVzprOD9gR1JK129UdL5pEWFzirVoa5a9KcCVwHfrJpeA2zVsJ+4J/t7pF/6o0mW3mHALNuNx1YXtmyPBmaw7NJyi2wfmkH2b4BNSROh95BxrdzS1p2kbUmjCUjK5tJMcouN4Cp5xcsQSNoc2I2UnPc424/IJXu5vnRU0V9me+uJ2hqSvT6p9slOJIXzc+CwHAqgGs5+upBli6R/Yeko6hfOtDi40pJ6y+EMKxBJ2otk3W0P3EuyaotadzmQ9BvbT61trwIsqLc1LP9cUuDBsQVcpKcCW5Gi634B/Aq4MGOS3nJ01XXzD0k72v4VgKTnsDRbtmlku1Qs8w6klPDslm3FJaRoiDMlrSVp7SajUCStY/tO8kVbLIftHwE/6rPu3kOqIjnKnKXlFwc/M6P8kolqHwcudSpauBySdrbdWLLYILqq6N8CnKi0kDDA7cABmWSfJ+kG4DuklaWaXj6wTq6iTssh6U3AQcBjSG6UDUgJLS9uUOxJwO6kOitm2SSdLJUzB1h3rwUubFpuaWwf0jeCOy7XCK6iWKKa7Ylq+jSaFTyIrrpuptu+XtI6ALbv7LVlkr89qd7J3sDVwMm2vz3+WSslb53qOw6sHugMNeElXUZyX1xYG0pfaXuLpmWXpEpSa5V1l4vKZTajN4IjVZLMMrqS9CRSotqzSYbc9cCrcrjrJkLSpb3/gWwyO6roL7G9bV/bxbZzLJJdl7k+aZLuVbanNCjnNNu7Vy6b5SzberGpBvtwoe1n9h5ySasCl2SaED3L9osnaivBoGdxFKiP4GxvKmkGcEzT97wvKxiSi6yXFZyl1MhElPibd8p1U/lJnwas2xfvuw61BUga7sM6wL+QLPpNgR+QLN3GsL179Z5rVaVBnCvp/aSs5J1JoWc/blKgpDVJGc/rS1qPZTOhN2hS9grQaM2XghxMNYIDsH2NpMdlkBtZwQPolKIn/fF3Bx7NsuvHLgbelKkPlwM/JMXt/zqTTKC4ZXsEcCAp1PDNpBosTVcMfTNp8vOJJD99T6neSQpvbQOjOqS+x/a9vcnQagTX+HeNrODBdNV186zxlKyk99n+eEOy5cw3vWbZng28gGUt25/Z3jxnf3Ij6VDbXxxnfzE/+Qi7bj5FWsnstaTy2G8DrradpXJql7OCB9FJRT8RTf7zSZpKCq/rX6/2RU3Iq2QexlLL9maWtWy/artx61bS7qTa95uQRpK90M7GF2ueiJLKVtL3cyTq5aaKmz8Q2IX0tz4d+FouI0fSB4B/JblGIQU+fKcpA66S2Su7MDAruOdCLUEo+gE0OSteZQx+B3gXKczzAFKxsfc2Ia9PdjHLVtIi4GXAlblHNBPRxN+7zdZdV+hqVvDAPrXsf64VNGzRX2z7GZKu6EWcSJpne7sm5K1g35r83mcDL7ade+GPCWnie7fZustBm0dwTVM6K3gQXZuMHZYmIyHuq97/oLQKzv+RkojaQJPf+z3A3Co1vV45s3i4WxO4KqpVWXcz+627gl3LxX/R0hFcBkpnBS9HKPrBfLfBa3+0ysj9N+CLpAnRdzYob0Vo8h/yY8DfSPMSqzco56FwQ4PXLlm1syQ3Ald1UMm3ISt4OTrpuqmiUA5k+QnRxmpUD0uTET9DyG7SdZOloFSfzOJ+chWs2lkSSduRXDedGMH1UzIreBCrlBJcmG8BTyCtOHUuacWp4gv4VuxbUPYNDV57rqRdGrz+IPaoXgeSVvV6VfX6GpDlR932IaSaPltVr+NGXclXfAy4i2RIrV17jTxVVvD3gGOrpg1IuTPF6KpF30vDv8L2lpJWA35pe4e29G2Sr9kGy3Yx8EiSdXcfGSfnSkdBtM26y0GJEVxbaGNdp6766HsTon+V9HTgj6ToiDbQxC9v8VV/bJe05or5yQtV7WwDcyXtYvvnpTtSgCJZwePRVUV/XFX75IPAHNJC3R8q26UlTHrkS1siQJRW+ZlG7bnLFE9eMgqiVM2X0rwVeJek7CO4FpC9rtNEdFXRn2X7dlJ98CdBKl3ctFBJU4C32/7cOIc1GfFT0rI9HtgSWEDm9WoLR0G0zrrLQeERXGlK1HUal6766IuVKZZ0ke1Gq1WOI7vkuq1X257ZtJxx5Bfxk5eu+VKSgiO4oI9OWfRtKFNMWmHqaFIZhL/3Gm1f0rTgwpbtryXNdIH1agv7yVtn3eWg5AiuNG3MCu6URa+0UPPewJ4k33yPxaRVns7P0IezBzS7yaJmffJLWbbPJ93zP5J5vdo2RkGMOqVHcCVpY12nTln0XrpQ87hlihvuwwtLyIXilu3XSYs/XMlSCy8XxfzkbbTuMlFsBNcCWpcV3ClFX+NSSQdTIDNW0uOB/wCeaHs3STOBZ9n+etOyKRsBcovtORMf1ggloyC6WvPlRJKyzz6CawGtq+vUVUX/LeC3pMzY2aRsyd9kkv0N4ASgNxn3/0j++hyKvmQEyKWSTiIp2PrDn8NnW9JP3jrrLhMlR3ClaV1dp0756HuUzIztlSSuZ8BKusz21hlkF4sAqZXtreM21Bdqkq7WfJH0a9vPKt2PErQxK7irFn3JzNi/S3oslSUtaQfgjkyyi1m2vaStEhT2k7fOustEyRFcaVqXFdxVi/6NwKnAFiRXyqOAD9k+drzzJkn2M4AvAE8HrgKmAvvYvqJp2SUpWTG0ZBREG627HHR1BAdl6zqN2acuKXpJhw9qrt6dazhd+cY3q2QvtH3fBKdMltxilq2k75LmRV5JbV7E9mEZZBdb3apyl53ZJusu6B5dU/RHVh83A7ZjaSz9HsBFtl+doQ9XACeTFiq+tml5fbJLWrYl50WK+cnbaN3loM1rPuSgbVnBnfLR2/53AEm/ALbtJQpJOgr4SaZu7EEqPXCKpAdJETen2P59BtklI0BKzosU85N3uOZLyci2orQxK7hTFn0PSQuBLW3fU22vAVxhe7PM/ZhBqpr5KttTMsgradmWnBcp6idvm3WXg5IjuNK0MSu4UxZ9jROBiyT16rzsTd5yvZuQrPpXAA+QEixyUMSylbQKcGd/xdCMFIuCaKN1l4k2r/nQNK3LCu6kRQ8gaVvgudXmL2xfmknuhcBqpHLE37F9XQ65lexilq2k+bZnFZJdcnWr1ll3OSg5gitNybpOY/apq4q+FJI2s72wkOxiESCSPgH8heWrdt6Wuy85kfR14D/bZN01TTWC28f2KaX7UoIq6OFw+rKCbf+uWJ9C0edB0qttf3uMEM+RjwCRdP2AZtvO4sYp5Sdvo3WXg5IjuNK0MSu4qz76Ejyyei8WhVEyAsR24yt4jUVhP3lXa76cKelddGwEV9G6rOCw6DOi4ZYSbLoPpSzblw1ovoMU0//nhmUX85O30brLQekRXEnamBUcij4zKruU4EDLNlMZgp8AzwJ6C6+8ALgYmA7Mtv2tBmUX85NL+jLwaFpk3QXdI1w3+Sm2lCCwQ8EIkFWBp9r+Eyypy38i8ExSyGVjip6ytdEfUcncpdY28uGVJUdwpWljVnAo+vz0yhH/e/Uu0j9+jqUES8b3btRT8hV/rtpuk9R0rZ9ifvKSVTsLcyBjjOAkNTqCawGtywoORZ+JWrTNaSTFrtruXP6zkpbtOZJOI+UPAOxTtT2SVCO/SYqtbtVG6y4TJUdwpXmy7X0l7WX7m9XE7C9LdigUfT56ES+9gmo/IinaPYCLMvWhZATIwaSCajtW298ETq3q7jS9jm7JKIjWWXeZKDmCK03rsoJD0WeiJQXVilm2ti3pV8C9pBHMRRmLq5X0k7fOustEyRFcaY6TtB7wQVIOxaNINa2KEYo+P48nKbse91ZtOShm2Ur6V+DTwDmkkcwXJb3b9veall3YT9466y4TJUdwxWhBXaeBhKLPT8mCaiUt2w8A2/UiLiRNBc4EGlf0hf3krbPuclB4BFcM2w9Keg/QqvIPEUdfgFIF1Uoi6UrbW9S2VwEur7c1KLvI6lZdrvkyYAT3XCDLCK40bazrFIq+Q5S0bCV9mpSs9T9V0ytIawC8N4PskqtbdbLmi6TLgZ37R3C2tyrbs+ZpY1ZwuG66RZEIEEkiLYi+HUt9tsfZ/sHYZ00qJf3kXa35skpfYtStwCqlOpOTknWdxiIs+g5R2LK9MoebZgzZJVe3ap11l4OSI7jStDErOCz6blHSsr1E0na252WSB5SPgmijddc0LRjBlaZ1WcFh0XeIwpbtb4EZwA0kF0a2rNzCq1u1zrrLQckRXGkknQ68dkBW8P6k4Ivsq7yFRd8RSlu2pHmBUpT0k7fOustEkRFcS2hdVnBY9B2idARIFVa6Iymu+rxMFTuL+snbaN3loOQIrjRVaeqNWTYr+Ebg3cBptrMnjIWi7xAl43slfRjYl6XJWXsD37X90aZll6R/0ZPKf73A9sze5HjB7jWGpE0Gtbvguqm5qP7G9azg81iaFVymT6Hou0Nhy3YhsJXtu6vtRwCX2d4sg+ySq1u1zrrLRakRXBuoRm7bszQruOh8TCj6IAuSzgb+xfZfq+1HA9+33Xgd/sKrW7XOustBV0dw0M6s4FD0HaKwZftDUrjdGSQrZ2dSeeabAGy/vUHZRf3kbbPuclByBFeaNmYFR9RNtygZAfKD6tXjnAZl9VMsCqJk1c7C/B+pzMbd1fYawM3lupOV1mUFh6LvFsVW/bH9zfH2SzrV9ssbEl+yNnqxqp2FuQNYIGmZEZykL0CzI7gW8LNqFFnPCp5bsD+h6DtG6+J7azQ5IVyyNnrrrLtMlBzBFaOtWcGh6LtFm1f9aWyyqHBt9NZZdzkoPIIrRvWsza2ygnOs8zAUMRnbIdocASLpEtvbNnTtIlEQ1f3ekGWtu1+Wtu7awIjnEHwTOLpNWcGh6DtGWyNAmvzHLxkF0eWaL+PR5A97adqYFRyumw5ROgKkCrHb2PbCAbubLF9b0k/e5ZovXaVkXaeBhEXfIQpbtnsAnwFWtz1d0takZKU9M8guubpV66y7NjDKrhtoX1ZwWPTdoqRlexTJZXQOgO3LJDVeq70FURCts+5yUXAEV5QBWcEnSCqaFRwWfYcobNleYHuHuiXXW+kqg+yifvK2WXc5KDmCK00bs4K7EM8bsIxleyxJ2W9JsmxzWVYLJL0SmCJphqQvAudnkn2JpO0yyVqGyrr7JvBYYH2SdffBEn3JzFGkEdxfIY3gSLWFukAvK7hH8azgsOg7REnLVtJapCzRXUh+6tOBj/SsnoZll1zdqnXWXQ5KjuBKU7Ku01iEj75bFIsAsX0XSdF/ILdsyvrJu1rzZZkRHPB28o3gStO6rOCw6DtEYct2FvB+YBo1AyOXhVdwdavWWXc5KDmCazslsoJD0XeIkqv+VC6MdwNXAg9mll2sNrqkA8bbP1GpgGD0KBFaGoq+YxS0bH9le8eJj2xEdmv95KNa86X0CK7NlMgKDh99hygc33ukpK8BZwH39Bpt5yj81GY/eePLOBbivxkwggvKEIq+W7yKZS3bTwCXATkU/euBzYHVWPqPb/JU+GtzbfRRHVLfYntO6U60FOUWGIq+W5S0bLcr6CppXRREByg5gitO27KCQ9F3i5KW7fmSZtq+ukEZA2l5bfTs1l0mSo7gilLPCiYt07lMVrDtn+fuUyj6blHSst0BuEzS9SQLr03FvRr1k7fNustEyRFcaY6iQF2n8QhF3yEKW7a7NnTdyaAxP3kbrbtMFBvBtYD7bN+Rqo4soehcTCj6oM6kW7aS1rF9J7B4sq/9MOEoWmbdZaLNI7imaV1WcCj6oE4TVsdJwO7AxdX162aOaUd4YZN+8tZZd5lo8wiuaQ4lZQXfQ6oUezrwkZIdCkUfNIrt3av3olZsQT9566y7JokRXPG6TgOJMsVBncYsW0lnDdPWkOw9SPkCP6u2t5a0JMa7YT/5ocDTWGrd3Qm8o0F5pTmper8YmF+9X1zbHnkkzZL0fUmXSLqi9yrapyiB0C3Gs2wl7TLZSk/SmsBawNnAC1j6Y7IO8DPbm0+mvDH6cDHwIuCcWsncWLQ7aISSdZ3GIlw3HaJQBMibSRbsE0lWXU/R3wkc3YC8QRTzk3e15ouks2y/eKK2EaV1WcGh6LvFUWSOALH9eeDzkg61/cWxjpO0s+0zGupGST95p2q+1EZw60taj2VHcBsU61heWpcVHIq+WxSzbMdT8hWfJNVsb4KSURCts+4apg0juNK0Lis4fPQdQtLXSVbGEcDLSZbtarbfUrRjlKnRnQNJLwb2p0XWXQ4Kj+CKImlh27KCQ9F3iDav+tNkje6SfnJJ3yZZdwuoPU1qKgAACjtJREFUWXe239C07DZToiZ7LiSdAHy6TVnBoeiDVtCwoi+5ulXrrLs2MKojOABJvwE2BVqTFRw++g7R8giQGxq8dkk/eZdrvozHKFuYrcsKDou+QxS2bNcC/o0Uw/+mKvplM9unZZBdzE/eRuuuDYyi66aXFSzpMYP2274td596hEXfLUpatieQojCeVW3fDHwXaFzRUzYKonXWXUu4oXQHGqC1dZ3Cou8QhS3b+bZn1X2zki63vVUG2dn95G227nJQcgQXLE9Y9N2ipGV7b1V+wQCSNqX2Y9MwJfzkrbXuMlFyBFeUNmYFh6LvFiVX/TmSVFRsI0n/DTwHeF0m2dlro7elamdBNrX9Ckn7Q6roqL5MvVGjzVnBoei7RZEIEEmrAOsBLyMpXQGH2f5Lpi4U85O30brLRMkRXClamxUcPvoOUTICpOejb1pOn8xifvI2VO0siaSdgQ8CM4GfU43gbJ9Tsl85aGNWcCj6DiFpk0HtmcIrPwH8BfgO8Pea7CaV7Wm2d69cNsv5yW035ieXdBhLrbubWda6+6rtka37Uo3g9iFN+vdGcBdkHMG1mhKhpaHoO0AbIkAqZTtAdHPKtg200brLQYkR3MOFElnBoeg7QEnLtg202U8+iolDUGYE93ChxN88JmM7QBsiQCS9dlC77RMblNnaKIgaoxqJ8orq/eBaWxfCSltJKPoOUdiy3a72eU3gxcAlQGOKnhZHQdQYySF1h8NKh+GG3ALDddMB2hgBIunRwMm2Gw99bLOffIRdN9lHcG2hjVnBYdF3gzZatn8Hslh9hVe3mogbCsltmhIjuLbQuqzgsOg7REnLVtKPWeqmWIUUX/1d2+9tQt6K0GQURButuxLkHMGVpmRdp7EIi75DFLZsP1P7fD/wO9s3NSRrRWnS2mmddVeIbCO4FtC6rOBQ9EGdJiNA/rnfepf0yTZY9A3TuZovMPYIrlyPslKyrtNAQtEHdZq0bHcG+pX6bgPaSnBDg9dunXWXiTaP4BqjBXWdBhKKPmgUSW8F3gZsKumK2q61gfMy9WFcP7ntlzUovnXWXSY6OYKz/aCk99g+BfhJ6f70iMnYYAmSvj/ZSk/SuiQL5+PAEbVdi3NlSUr6DslP/lrbT68U//m2t25YbmdrvgwKG5V0RReWUGxjVnAo+g5RKgJE0hRgQamKjYVXt+pUzZf6CA5YVNu1NnCe7VcX6VhG2ljXKVw33aJIBIjtByQtlLSx7d83KWsMSvrJz5T0Llpk3TXMScBPKTiCK00bs4JD0XeLkhEg6wELJF3EsgpvzwyyS/rJO1XzxfYdkv4GbJOj/HUbaWNWcCj6blHSsv1QJjnLUDoKoo3WXdO0YARXmtZlBYePvkN0ddWfkn7yNlp3OZD0C2AboMQIrlW0ISs4LPqOUNqylbQD8EXgqcDqwBTg77bXySC+pJ+8ddZdJoqM4FpK8azgsOg7RGHLdj6wH2nydxbwWuAptt+XQXZroiDaYN0FzdLGuk6h6DtEyfjeWojjkljqEkuqlUbSasBVtjcr3ZcmKTyCK4qk59c2W5EVHK6bblEyAuQuSasDl0n6FPAHkrXTOCX95B2u+XI0A0ZwRXuUj9ZlBYdFH2RB0ibAn0jW3TuBdYEv21407omTI7tetXOJn9z2Phlkt866y0GXR3BtzAoOi75DlLRsbf+usuinAd8HFtq+t2m5lexD69s9P3kO2bTQustEsRFcKdpQ12kswqLvEIUt25cCxwDXkiJ+pgNvtv3TpmUP6Es2P3kbrbsclBzBlaINdZ3GIhR9h8m8butvgd17/+hVstZPctS/KREFETVfoLLoNyfd+2wjuJKUrus0FuG66TY543sX91lz1wGLM8kuURu90zVfBo3gJBUZweWkrVnBoeg7ROEIkPmS5gKnVH3YF5gn6WUAtr/foOzsfvKo+cJ/Ai/sH8GRfvxGnZJ1nQYSrpsOUTICRNIJ4+y27Tc0KLuYn1zSj4BD22Td5UDSPNvb1bYFXFRvG1X6/s+WYPvc3H3pEYq+QwyyYkc5AqQNfvKu1nyR9BVgE5Ydwf0eOBMaH8EFfYSi7xCFLdunAF8BHl+t8rQlsKftjzYos3gURButuxyUHMGVpo1ZwaHoO0BLLNtzgXcDx9ZWebrK9tMbltvKKIhgdClZ12ksRjqBIVjCScAewI+q997rGRnD/NayfVFf2/1NC7X9ALBQ0sZNyxqEpB0kzZP0N0n3SnpA0p0l+pITSU+RdJakq6rtLSV9sHS/clFNQk+x/YDtE4CiRewi6qYDtCQC5C9V5EVv0ZN9SNmSOSgZBdHVmi9fpRrBAdi+QtJJQGOuuhbRuqzgUPQdoQXxvQcDxwGbS7oZuB54VSbZRWuj214kaUo1ujhB0qVAsWF8JtayfZGWXamy8RFcS3gNSbEfQsoK3gh4eckOhaLvFtktW0mH1zbnAmeT/gn+Tnr4P9uU7B6FJz5bZ91louQIrigl6zqNRSj6blHCsl27et+MtNrSj0iZkq8hhRw2TuEoiNZZd5koOYIrShuzgiPqJshCFU/+UtuLq+21SbVunpdBdtEoiC7VfOkbwQE8gqUjOGw3PoIrTcm6TmPRhSFkUFE4AuTxQF3B3Vu1ZaFUFERl3V0LfIE0MbtI0m45ZBdi7eo1C3jr/2/vjnGjCIIoDL+KIOQMHIBgQ0sIOIAlDoAEznwLICDmACSICxAg4ZwQISOR+QwEjhFBEfQMWNbuEk1Xq9//RZ7AmnHgVk3N62q1duE9SeeSdkd+byaVc532onXjpTIB8kHS14j4uFw/lfS+070r++RWM18y87X09w1ud+MN7pXa3+2gcq7TXrRujETxqT8RsZP0cLn8kpnfO9238nQry5kvEXEl6UFm/lqu70j6MftZudKYu4Kp6L2UJkAy81LSZa/73bhvZQpiuOquk8o3uFKZeVb9DLdR0RuprGwr7UtBqNPpViNWd71UvcFVq5jr9N9nYqH34pQAWY2YgsC8quY6HUPqxohhAmRVloJwn/liqmSu0zEs9F7WBMjjzHwk6Ymkt8XP1MO3iPgcES8i4rmkT1r65GuvfEPv1MYd/JbazBe15BPmNdyuYD7Gehku39vJXbVvE+ts+J9qG3lO1f4Zt/wg6jzzxdVwu4JZ6L1YJkCKUxDDVXfYxghznQ5hofdSWdmWKU5BDFfdYTPlc50OIXWD6VWkIJj54qtyrtMhfIw1YpwAqUhBMPPFV+lcp31o3XhxPfWne5+cmS/WhtsVzELvxTUBUtknH666w7Yy801EXOjfruCz6l3BLPRerBIgg6QghqvusL2quU6H8DHWSETcV6tsTyRda6lsCw8M31REvFx+vJ2COFWbIPms03NYznzBOFjoDbgnQEZMQQA90brxMGy+txP65LDGQm+ABAh9cnijdWPE/NQf+uSwRUXvxbayHS0FAfRERW+Gyhbww0IPAJNj1g0ATI6FHgAmx0IPAJNjoQeAybHQA8Dk/gDU/F7Ho04JtAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gcc8_bBEF2YT",
        "colab_type": "code",
        "outputId": "9b710ce7-e827-4d2d-b914-3f19c4bfb544",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        }
      },
      "source": [
        "fig, ax = plt.subplots()\n",
        "\n",
        "heights = var_imp.values\n",
        "labels =  ['total_distance', 'average_speed', 'timeofday_cos', 'month_sin', \n",
        "          'timeofday_sin', 'weekday_cos', 'depart_temp', 'month_cos', \n",
        "          'depart_rainfall', 'weekday_sin']\n",
        "ax.bar(np.arange(len(heights)), heights)\n",
        "plt.xticks(np.arange(len(heights)))\n",
        "ax.set_xticklabels(labels, rotation=90)\n",
        "fig.set_size_inches(6, 4)\n",
        "ax.set_title('Variable Importance')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fyp8w61ITNcE",
        "colab_type": "code",
        "outputId": "9a73f1a7-6052-415d-a83e-140926ab2b4b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 359
        }
      },
      "source": [
        "'''\n",
        "  Evalating our results\n",
        "\n",
        "  While it seems like the mean and standard deviation of the errors is very\n",
        "  high, it's important to note that this score is being calculated in seconds.\n",
        "  Moreover, there are neglible benefits for a fleet coordinator to have arrival\n",
        "  predictions in seconds versus minutes. Ultimately, the ability to predict\n",
        "  truck arrival times requires many other factors including traffic information,\n",
        "  road closures, and a generally larger dataset. By using departure time,\n",
        "  driver, and weather data, we were able to increase prediction accuracy by\n",
        "  ____% or ____ minutes on average.\n",
        "'''\n",
        "prediction_array = np.column_stack((X,y,predicted))\n",
        "prediction_df = pd.DataFrame(prediction_array, columns=features + ['total_secs_actual', 'total_secs_predicted'])\n",
        "prediction_df['total_mins_actual'] = prediction_df['total_secs_actual'] / 60\n",
        "prediction_df['total_mins_predicted'] = prediction_df['total_secs_predicted'] / 60\n",
        "\n",
        "display(prediction_df[0:10][['total_mins_actual', 'total_mins_predicted']])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "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>total_mins_actual</th>\n",
              "      <th>total_mins_predicted</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>564.0</td>\n",
              "      <td>571.448452</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>578.0</td>\n",
              "      <td>584.402833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>519.0</td>\n",
              "      <td>537.892083</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>543.0</td>\n",
              "      <td>565.063370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>506.0</td>\n",
              "      <td>519.020000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>544.0</td>\n",
              "      <td>518.535000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>601.0</td>\n",
              "      <td>631.048788</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>662.0</td>\n",
              "      <td>636.112695</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>617.0</td>\n",
              "      <td>628.871288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>615.0</td>\n",
              "      <td>613.611967</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   total_mins_actual  total_mins_predicted\n",
              "0              564.0            571.448452\n",
              "1              578.0            584.402833\n",
              "2              519.0            537.892083\n",
              "3              543.0            565.063370\n",
              "4              506.0            519.020000\n",
              "5              544.0            518.535000\n",
              "6              601.0            631.048788\n",
              "7              662.0            636.112695\n",
              "8              617.0            628.871288\n",
              "9              615.0            613.611967"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wOPkzZhsODEy",
        "colab_type": "code",
        "outputId": "ec2ac1b7-5f1c-436a-a57b-a621ea629e22",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "# simple actual vs predicted\n",
        "\n",
        "import matplotlib.lines as lines\n",
        "\n",
        "fig,ax = plt.subplots()\n",
        "fig.set_size_inches(6,4)\n",
        "ax.set_xlim(0,100000)\n",
        "ax.set_ylim(0,100000)\n",
        "ax.scatter(y, predicted)\n",
        "l1 = lines.Line2D([0, 100000], [0, 100000], color='gray')\n",
        "ax.add_line(l1)\n",
        "m, b = np.polyfit(y, predicted, 1)\n",
        "ax.plot(y, m*y + b, color='r')\n",
        "ax.set_xlabel('Actual')\n",
        "ax.set_ylabel('Predicted')\n",
        "ax.set_title('Random Forests Actual vs. Predicted')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nftAaTqmWrMD",
        "colab_type": "code",
        "outputId": "6dfc9dab-ea13-43dc-a986-beb998cb362f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        }
      },
      "source": [
        "df = bog_med[features]\n",
        "\n",
        "new_cols = ['month_sin', 'month_cos', 'weekday_sin', 'weekday_cos', 'timeofday_sin', \n",
        " 'timeofday_cos', 'depart_temp', 'depart_rainfall', 'total_distance', 'driver_average_speed']\n",
        "df.columns = new_cols\n",
        "\n",
        "f = plt.figure(figsize=(6, 6))\n",
        "plt.matshow(df.corr(), fignum=f.number)\n",
        "plt.xticks(range(df.shape[1]), df.columns, fontsize=14, rotation=90)\n",
        "plt.yticks(range(df.shape[1]), df.columns, fontsize=14)\n",
        "f.gca().get_xaxis().set_ticks_position('bottom')\n",
        "cb = plt.colorbar()\n",
        "cb.ax.tick_params(labelsize=14)\n",
        "plt.title('Correlation Matrix', fontsize=16);"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x432 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xo1hGTkDUsYr",
        "colab_type": "code",
        "outputId": "c59c56b6-5131-40c4-e2d8-6c85f0d40279",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        }
      },
      "source": [
        "new_cols = ['month_sin', 'month_cos', 'weekday_sin', 'weekday_cos', 'timeofday_sin', \n",
        " 'timeofday_cos', 'depart_temp', 'depart_rainfall', 'total_distance', 'driver_average_speed']\n",
        "\n",
        "df.columns = new_cols\n",
        "df.columns"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['month_sin', 'month_cos', 'weekday_sin', 'weekday_cos', 'timeofday_sin',\n",
              "       'timeofday_cos', 'depart_temp', 'depart_rainfall', 'total_distance',\n",
              "       'driver_average_speed'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ksbjdInOUu0T",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}