Project_Uber_Data_Analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.6"
    },
    "colab": {
      "name": "Project-Uber Data Analysis.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        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)"
      ],
      "metadata": {
        "id": "rmLoCQRQi1Xw"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LazCrUBzgWjH"
      },
      "source": [
        "#**Uber Data Analysis With Python**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aeoZayUdiCQR"
      },
      "source": [
        "**Uber Technologies, Inc.**, commonly known as **Uber**, is an American technology company. Its services include ride-hailing, food delivery, package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental.\n",
        "\n",
        "We will main use data regarding **Uber ride**\n",
        "\n",
        "Python is used to:\n",
        "\n",
        "\n",
        "* Check how long do people travel with Uber?\n",
        "* What Hour Do Most People Take Uber To Their Destination?\n",
        "* Check The Purpose Of Trips\n",
        "* Which Day Has The Highest Number Of Trips\n",
        "* What Are The Number Of Trips Per Each Day?\n",
        "* What Are The Trips In The Month\n",
        "* The starting points of trips. Where Do People Start Boarding Their Trip From Most?\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3AxLo6lWjs8m"
      },
      "source": [
        "\n",
        "The dataset for this project is loaded at the resource session of this course."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SbwxbVDUkUR6"
      },
      "source": [
        "<br>\n",
        "\n",
        "##**Import The Necessary Libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vy2A0SZ_eeMg"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import datetime\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import calendar"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        },
        "id": "dQ8XS2H4lkeu",
        "outputId": "69a0aca9-17cd-4bc5-b84e-2db34060ae32"
      },
      "source": [
        "data=pd.read_csv('/content/Uber Drives - .csv')\n",
        "data.head()"
      ],
      "execution_count": null,
      "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>START_DATE*</th>\n",
              "      <th>END_DATE*</th>\n",
              "      <th>CATEGORY*</th>\n",
              "      <th>START*</th>\n",
              "      <th>STOP*</th>\n",
              "      <th>MILES*</th>\n",
              "      <th>PURPOSE*</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1/1/2016 21:11</td>\n",
              "      <td>1/1/2016 21:17</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>5.1</td>\n",
              "      <td>Meal/Entertain</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1/2/2016 1:25</td>\n",
              "      <td>1/2/2016 1:37</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1/2/2016 20:25</td>\n",
              "      <td>1/2/2016 20:38</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>4.8</td>\n",
              "      <td>Errand/Supplies</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1/5/2016 17:31</td>\n",
              "      <td>1/5/2016 17:45</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>4.7</td>\n",
              "      <td>Meeting</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1/6/2016 14:42</td>\n",
              "      <td>1/6/2016 15:49</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>63.7</td>\n",
              "      <td>Customer Visit</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      START_DATE*       END_DATE*  ... MILES*         PURPOSE*\n",
              "0  1/1/2016 21:11  1/1/2016 21:17  ...    5.1   Meal/Entertain\n",
              "1   1/2/2016 1:25   1/2/2016 1:37  ...    5.0              NaN\n",
              "2  1/2/2016 20:25  1/2/2016 20:38  ...    4.8  Errand/Supplies\n",
              "3  1/5/2016 17:31  1/5/2016 17:45  ...    4.7          Meeting\n",
              "4  1/6/2016 14:42  1/6/2016 15:49  ...   63.7   Customer Visit\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gmXGrfxkowwo"
      },
      "source": [
        "##Check for Mising Values\n",
        "\n",
        "If a data is not available, Python uses **NaN** to represnet it.\n",
        "\n",
        "Let's check below if there data points missing in our dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CclElBEOov1N",
        "outputId": "01297a13-a18f-4ddb-f3bc-37c48d26208d"
      },
      "source": [
        "data.isnull().any() "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "START_DATE*    False\n",
              "END_DATE*       True\n",
              "CATEGORY*       True\n",
              "START*          True\n",
              "STOP*           True\n",
              "MILES*         False\n",
              "PURPOSE*        True\n",
              "dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZOPT92K4mcp-",
        "outputId": "61f0535a-85e4-47ec-b244-a2cd8e24e277"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "START_DATE*      0\n",
              "END_DATE*        1\n",
              "CATEGORY*        1\n",
              "START*           1\n",
              "STOP*            1\n",
              "MILES*           0\n",
              "PURPOSE*       503\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Od5EdoYNm4A3"
      },
      "source": [
        "data=data.dropna()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nXoRd3IrrRv_",
        "outputId": "2b8a86cd-00b3-4a93-ca1b-49b4a290318b"
      },
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "START_DATE*    0\n",
              "END_DATE*      0\n",
              "CATEGORY*      0\n",
              "START*         0\n",
              "STOP*          0\n",
              "MILES*         0\n",
              "PURPOSE*       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BImlk5hHrU61"
      },
      "source": [
        "Now we can see that there are not missing values in the dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kLs9MBaErTwc"
      },
      "source": [
        "data['START_DATE*'] = pd.to_datetime(data['START_DATE*'], format=\"%m/%d/%Y %H:%M\")\n",
        "data['END_DATE*'] = pd.to_datetime(data['END_DATE*'], format=\"%m/%d/%Y %H:%M\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tkHQXmywsLv0"
      },
      "source": [
        "hour=[]\n",
        "day=[]\n",
        "dayofweek=[]\n",
        "month=[]\n",
        "weekday=[]\n",
        "for x in data['START_DATE*']:\n",
        "    hour.append(x.hour)\n",
        "    day.append(x.day)\n",
        "    dayofweek.append(x.dayofweek)\n",
        "    month.append(x.month)\n",
        "    weekday.append(calendar.day_name[dayofweek[-1]])\n",
        "data['HOUR']=hour\n",
        "data['DAY']=day\n",
        "data['DAY_OF_WEEK']=dayofweek\n",
        "data['MONTH']=month\n",
        "data['WEEKDAY']=weekday"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "d-Gf6hgvsds-",
        "outputId": "cb323f54-a850-452f-d4d3-37cd8464b253"
      },
      "source": [
        "data.head()"
      ],
      "execution_count": null,
      "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>START_DATE*</th>\n",
              "      <th>END_DATE*</th>\n",
              "      <th>CATEGORY*</th>\n",
              "      <th>START*</th>\n",
              "      <th>STOP*</th>\n",
              "      <th>MILES*</th>\n",
              "      <th>PURPOSE*</th>\n",
              "      <th>HOUR</th>\n",
              "      <th>DAY</th>\n",
              "      <th>DAY_OF_WEEK</th>\n",
              "      <th>MONTH</th>\n",
              "      <th>WEEKDAY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2016-01-01 21:11:00</td>\n",
              "      <td>2016-01-01 21:17:00</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>5.1</td>\n",
              "      <td>Meal/Entertain</td>\n",
              "      <td>21</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>Friday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2016-01-02 20:25:00</td>\n",
              "      <td>2016-01-02 20:38:00</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>4.8</td>\n",
              "      <td>Errand/Supplies</td>\n",
              "      <td>20</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>Saturday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2016-01-05 17:31:00</td>\n",
              "      <td>2016-01-05 17:45:00</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>4.7</td>\n",
              "      <td>Meeting</td>\n",
              "      <td>17</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Tuesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2016-01-06 14:42:00</td>\n",
              "      <td>2016-01-06 15:49:00</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>63.7</td>\n",
              "      <td>Customer Visit</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Wednesday</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>2016-01-06 17:15:00</td>\n",
              "      <td>2016-01-06 17:19:00</td>\n",
              "      <td>Business</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>4.3</td>\n",
              "      <td>Meal/Entertain</td>\n",
              "      <td>17</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>Wednesday</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          START_DATE*           END_DATE*  ... MONTH    WEEKDAY\n",
              "0 2016-01-01 21:11:00 2016-01-01 21:17:00  ...     1     Friday\n",
              "2 2016-01-02 20:25:00 2016-01-02 20:38:00  ...     1   Saturday\n",
              "3 2016-01-05 17:31:00 2016-01-05 17:45:00  ...     1    Tuesday\n",
              "4 2016-01-06 14:42:00 2016-01-06 15:49:00  ...     1  Wednesday\n",
              "5 2016-01-06 17:15:00 2016-01-06 17:19:00  ...     1  Wednesday\n",
              "\n",
              "[5 rows x 12 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HtKW7SrevRtd"
      },
      "source": [
        "##**Categories We Have**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WMnBWxYIv6fX",
        "outputId": "25727280-75a3-4b76-cd5d-af3c88630f70"
      },
      "source": [
        "data['CATEGORY*'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Business    647\n",
              "Personal      6\n",
              "Name: CATEGORY*, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "bYwe8EUNuXV5",
        "outputId": "81eae371-7f7a-47a4-e887-54a9e1cbdc70"
      },
      "source": [
        "sns.countplot(x='CATEGORY*',data=data)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9cd68e10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYUAAAEGCAYAAACKB4k+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAUm0lEQVR4nO3dfbRddX3n8fdHIuADz6QREmyYSuuyKg/NMNiODoW2I4w16AhL2g6RZhqdYVharRXrrBE7dQaqHQWZhSsjD0nHFhGLpJal0ABV2wImgsiDLQFFkuHhFhBFRAt+54/9u5tDuAmXmH1Pkvt+rXXW2fu3f3uf70l28jl7n71/J1WFJEkAzxl3AZKkbYehIEnqGQqSpJ6hIEnqGQqSpN6ccRfwk9h3331r4cKF4y5DkrYra9eu/aeqmjvVsu06FBYuXMiaNWvGXYYkbVeS3LWpZZ4+kiT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1tus7mreGX3j3ynGXoG3Q2g+dNO4SpLHwSEGS1DMUJEk9Q0GS1DMUJEk9Q0GS1DMUJEk9Q0GS1DMUJEk9Q0GS1DMUJEk9Q0GS1Bs0FJLsmeSSJN9IcluSVyXZO8mVSW5vz3u1vklydpJ1SW5KctiQtUmSnm7oI4WzgM9X1UuBg4HbgNOA1VV1ELC6zQMcAxzUHsuAcweuTZK0kcFCIckewGuA8wCq6kdV9R1gMbCidVsBHNemFwMrq3MtsGeS/YaqT5L0dEMeKRwITAAXJLkhySeSvACYV1X3tD73AvPa9Hzg7pH117e2p0iyLMmaJGsmJiYGLF+SZp8hQ2EOcBhwblUdCnyfJ08VAVBVBdSz2WhVLa+qRVW1aO7cuVutWEnSsKGwHlhfVde1+UvoQuK+ydNC7fn+tnwDcMDI+gtamyRphgwWClV1L3B3kp9rTUcDtwKrgCWtbQlwWZteBZzUrkI6Anh45DSTJGkGDP1znKcCn0yyM3AncDJdEF2cZClwF3BC63s5cCywDni09ZUkzaBBQ6GqbgQWTbHo6Cn6FnDKkPVIkjbPO5olST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkST1DQZLUMxQkSb1BQyHJt5J8PcmNSda0tr2TXJnk9va8V2tPkrOTrEtyU5LDhqxNkvR0M3Gk8MtVdUhVLWrzpwGrq+ogYHWbBzgGOKg9lgHnzkBtkqQR4zh9tBhY0aZXAMeNtK+szrXAnkn2G0N9kjRrDR0KBVyRZG2SZa1tXlXd06bvBea16fnA3SPrrm9tT5FkWZI1SdZMTEwMVbckzUpzBt7+v66qDUl+CrgyyTdGF1ZVJalns8GqWg4sB1i0aNGzWleStHmDHilU1Yb2fD9wKXA4cN/kaaH2fH/rvgE4YGT1Ba1NkjRDBguFJC9IstvkNPBrwM3AKmBJ67YEuKxNrwJOalchHQE8PHKaSZI0A4Y8fTQPuDTJ5Ov8WVV9PslXgIuTLAXuAk5o/S8HjgXWAY8CJw9YmyRpCoOFQlXdCRw8RfsDwNFTtBdwylD1SJKemXc0S5J6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6hoIkqWcoSJJ6g4dCkp2S3JDkc23+wCTXJVmX5FNJdm7tu7T5dW35wqFrkyQ91UwcKbwduG1k/kzgI1X1EuAhYGlrXwo81No/0vpJkmbQoKGQZAHw74BPtPkARwGXtC4rgOPa9OI2T1t+dOsvSZohQx8pfBT4feDHbX4f4DtV9XibXw/Mb9PzgbsB2vKHW/+nSLIsyZokayYmJoasXZJmncFCIcnrgPurau3W3G5VLa+qRVW1aO7cuVtz05I0680ZcNu/BLw+ybHArsDuwFnAnknmtKOBBcCG1n8DcACwPskcYA/ggQHrkyRtZLAjhap6b1UtqKqFwJuBq6rqN4GrgTe1bkuAy9r0qjZPW35VVdVQ9UmSnm4c9ym8B3hnknV03xmc19rPA/Zp7e8EThtDbZI0qw15+qhXVdcA17TpO4HDp+jzGHD8TNQjSZqadzRLknqGgiSpN61QSLJ6Om2SpO3bZr9TSLIr8Hxg3yR7AZN3GO/OkzedSZJ2EM/0RfNbgXcA+wNreTIUvgucM2BdkqQx2GwoVNVZwFlJTq2qj81QTZKkMZnWJalV9bEkvwgsHF2nqlYOVJckaQymFQpJ/hT4GeBG4InWXIChIEk7kOnevLYIeJnDTkjSjm269yncDLxoyEIkSeM33SOFfYFbk1wP/HCysapeP0hVkqSxmG4onD5kEZKkbcN0rz76m6ELkSSN33SvPvoe3dVGADsDzwW+X1W7D1WYJGnmTfdIYbfJ6SQBFgNHDFWUJGk8nvUoqdX5LPBvB6hHkjRG0z199MaR2efQ3bfw2CAVSZLGZrpXH/36yPTjwLfoTiFJknYg0/1O4eShC5Ekjd90f2RnQZJLk9zfHp9JsmDo4iRJM2u6XzRfAKyi+12F/YG/bG2SpB3IdENhblVdUFWPt8eFwNwB65IkjcF0Q+GBJL+VZKf2+C3ggSELkyTNvOmGwm8DJwD3AvcAbwLesrkVkuya5PokX0tyS5IPtPYDk1yXZF2STyXZubXv0ubXteULt/A9SZK20HRD4Q+BJVU1t6p+ii4kPvAM6/wQOKqqDgYOAV6b5AjgTOAjVfUS4CFgaeu/FHiotX+k9ZMkzaDphsIrq+qhyZmqehA4dHMrtDufH2mzz22PAo4CLmntK4Dj2vTiNk9bfnQbUkOSNEOmGwrPSbLX5EySvZnGPQ7t+4cbgfuBK4E7gO9U1eOty3pgfpueD9wN0JY/DOwzxTaXJVmTZM3ExMQ0y5ckTcd072j+E+Dvk3y6zR8PfPCZVqqqJ4BDkuwJXAq8dIuqfOo2lwPLARYtWuTPg0rSVjTdO5pXJllDd+oH4I1Vdet0X6SqvpPkauBVwJ5J5rSjgQXAhtZtA3AAsD7JHGAPvMJJkmbUtEdJrapbq+qc9njGQEgytx0hkOR5wK8CtwFX0129BLAEuKxNr2rztOVXVZVHApI0g6Z7+mhL7AesSLITXfhcXFWfS3IrcFGSPwJuAM5r/c8D/jTJOuBB4M0D1iZJmsJgoVBVNzHFFUpVdSdw+BTtj9F9VyFJGpNn/SM7kqQdl6EgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKknqEgSeoZCpKk3mChkOSAJFcnuTXJLUne3tr3TnJlktvb816tPUnOTrIuyU1JDhuqNknS1IY8UngceFdVvQw4AjglycuA04DVVXUQsLrNAxwDHNQey4BzB6xNkjSFwUKhqu6pqq+26e8BtwHzgcXAitZtBXBcm14MrKzOtcCeSfYbqj5J0tPNyHcKSRYChwLXAfOq6p626F5gXpueD9w9str61rbxtpYlWZNkzcTExGA1S9JsNHgoJHkh8BngHVX13dFlVVVAPZvtVdXyqlpUVYvmzp27FSuVJA0aCkmeSxcIn6yqv2jN902eFmrP97f2DcABI6svaG2SpBky5NVHAc4Dbquq/zWyaBWwpE0vAS4baT+pXYV0BPDwyGkmSdIMmDPgtn8J+A/A15Pc2Nr+ADgDuDjJUuAu4IS27HLgWGAd8Chw8oC1SZKmMFgoVNWXgWxi8dFT9C/glKHqkSQ9M+9oliT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1DAVJUs9QkCT1BguFJOcnuT/JzSNteye5Msnt7Xmv1p4kZydZl+SmJIcNVZckadOGPFK4EHjtRm2nAaur6iBgdZsHOAY4qD2WAecOWJckaRMGC4Wq+iLw4EbNi4EVbXoFcNxI+8rqXAvsmWS/oWqTJE1tpr9TmFdV97Tpe4F5bXo+cPdIv/Wt7WmSLEuyJsmaiYmJ4SqVpFlobF80V1UBtQXrLa+qRVW1aO7cuQNUJkmz10yHwn2Tp4Xa8/2tfQNwwEi/Ba1NkjSDZjoUVgFL2vQS4LKR9pPaVUhHAA+PnGaSJM2QOUNtOMmfA0cC+yZZD7wfOAO4OMlS4C7ghNb9cuBYYB3wKHDyUHVJkjZtsFCoqhM3sejoKfoWcMpQtUiSpsc7miVJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJPUNBktQzFCRJvW0qFJK8Nsk/JFmX5LRx1yNJs82ccRcwKclOwP8GfhVYD3wlyaqqunW8lUnj8e0/fMW4S9A26MX/7euDbn9bOlI4HFhXVXdW1Y+Ai4DFY65JkmaVbeZIAZgP3D0yvx74Vxt3SrIMWNZmH0nyDzNQ22yxL/BP4y5iW5APLxl3CXoq981J78/W2MpPb2rBthQK01JVy4Hl465jR5RkTVUtGncd0sbcN2fOtnT6aANwwMj8gtYmSZoh21IofAU4KMmBSXYG3gysGnNNkjSrbDOnj6rq8ST/BfgCsBNwflXdMuayZhtPy2lb5b45Q1JV465BkrSN2JZOH0mSxsxQkCT1DIXtVJInktyY5GtJvprkF7dwO29LctLWrk+z28j+eXOSTyd5/rhrmpTkLUnOGXcd2ypDYfv1g6o6pKoOBt4L/M8t2UhVfbyqVm7d0qR+/3w58CPgbdNZKck2c/HLbGUo7Bh2Bx4CSHJkks9NLkhyTpK3tOkzktya5KYkH25tpyf5vTZ9TZIzk1yf5B+TvLq175TkQ0m+0tZ9a2vfL8kXRz4Rvrr1vbDNfz3J787sH4W2QV8CXpLkBUnOb/vXDUkWQ//JfVWSq4DVU+1Xrd+JbZ+6OcmZkxtP8kiSD7aj5muTzGvtv57kuvZafz3Zrs0zlbdfz0tyI7ArsB9w1OY6J9kHeAPw0qqqJHtuouucqjo8ybHA+4FfAZYCD1fVv0yyC/C3Sa4A3gh8oao+2AY0fD5wCDC/fUJkM6+jWaB98j8G+DzwPuCqqvrttl9cn+SvW9fDgFdW1YNJ3sVG+1WS/YEzgV+g+wB0RZLjquqzwAuAa6vqfUn+GPgd4I+ALwNHtP39PwK/D7xrxt78dspQ2H79oKoOAUjyKmBlkpdvpv/DwGPAee1I4nOb6PcX7XktsLBN/xrwyiRvavN7AAfR3XB4fpLnAp+tqhuT3An8iyQfA/4KuGKL3p22d5MfWqA7UjgP+Dvg9ZNHpnQfaF7cpq+sqgfb9FT71VHANVU1AZDkk8BrgM/SnZ6a3J/X0o20DN2oCJ9Ksh+wM/DNAd7nDsfTRzuAqvp7ugHD5gKP89S/111bn8fpRqK9BHgd3Se3qfywPT/Bkx8aApzazhEfUlUHVtUVVfVFun+YG4ALk5xUVQ8BBwPX0J1H/sTWeZfazvxgZH85tY18HODfj7S/uKpua/2/P7niVPvVM7zWP9eTN1yN7rcfA86pqlcAb6X9W9DmGQo7gCQvpbsL/AHgLuBlSXZph+hHtz4vBPaoqsuB36X7j3u6vgD8p/bJjSQ/284P/zRwX1X9H7r//A9Lsi/wnKr6DPBf6U4LSNDtR6cmCUCSQ6fqNNV+BVwP/Jsk+7ZTSicCf/MMr7cHT46f5rC30+Tpo+3X6OF5gCVV9QRwd5KLgZvpDpdvaH12Ay5Lsmvr/85n8VqfoDuV9NX2D3oCOA44Enh3kn8GHgFOohsC/YIkkx843rtlb087oP8OfBS4qe0f36Q7at3YkWy0X1XVPel+jfFquv33r6rqsmd4vdOBTyd5CLgKOHCrvIsdnMNcSJJ6nj6SJPUMBUlSz1CQJPUMBUlSz1CQJPUMBc0aSV6U5KIkdyRZm+TyJD/blr0jyWNJ9kiyTxt358Yk9ybZMDK/c54cAXTycVrbxpwk/yPJ7SPL3jfy+guSXNaW35HkrHQ/PTs5ZtXDbZ1vJPlwOl9OcszINo5P8vmRa/1Pb8+ZwT9K7cC8JFWzQvtP8++AFVX18dZ2MLB7VX0pyXV0wyWcX1UXjKx3OvBIVX14pO2RqnrhFK9xBvAi4G1V9ViS3YB3VdXp7fWvA86tqgvaDVjLgQer6t1JjgR+r6pel+R5dPeXLKUbnuTTwKF09xXdALwWeBXdmFf7AA8C/6+q/u9W+wPTrOXNa5otfpluOISPTzZU1dcAkvwM8ELgP9MN2nbBlFvYjHS/F/A7wMKqeqxt/3t0N1BBN2DhY5OBU1VPpBtB9ptJ3j+6rar6QbsxcX5V/W2SvwTeQzfw28qqugO4I8mJwBnAb1bVRc+2ZmkqhoJmi5fTDZY2lTcDF9EN3PZzSeZV1X2b2dbo3eTQ/ZbFbcC3WxBM5ec3fv2q+m6SbwMvGW1PshfdgINfbE0fAL5KdySzqPX5Dbq7xz8EvDjJb1TVn22mZmlaDAWpG0fnDVX14ySfAY4HNvfLXP0ItZOSvHKj+ZOBt9Od3pnur+K9OsnX6ALho1V1L0BVfT/Jp+hOY00OWPjnbUjo06vqj/1OQVuLXzRrtriFbiz+p0jyCrr/hK9M8i26o4YTt2D76+g+se8GUFUXtOB4mG6wwls3fv0ku9MNHb2uNX2p/ZLezwNLk4wGz4/bg7b9as+nj85LPylDQbPFVcAuSZZNNrRP92cDp1fVwvbYH9i/jdQ5bVX1KN1vBpzTBh2kfZm8c+uymu7HYk4aWfYnwIVt3dFtfZPuu4L3bMH7lH4ihoJmhfZJ+g3Ar7TLQW+h+y7gSODSjbpfSnfEsCnP2+iS1DNa+/uAe4Cbk9xA9x3FCrorgyZf//gktwP/SPejR3+widf4OPCaJAuf3TuVfjJekipJ6nmkIEnqGQqSpJ6hIEnqGQqSpJ6hIEnqGQqSpJ6hIEnq/X+aIc3lvK4LZAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lUsUpRYLwAnV"
      },
      "source": [
        "We have large number of business rides caegory as against very few personal rides."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wVhSlOZjwYfc"
      },
      "source": [
        "##**How long do people travel with Uber?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "yvZcYsTuvnJi",
        "outputId": "ddf947d2-1de7-46d9-d2e4-7e0d386a271b"
      },
      "source": [
        "data['MILES*'].plot.hist()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9c7c8410>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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YCpKkjqEgSeoYCpKkjqEgSeoYCpKkjqEgSeoYCpKkjqEgSeoYCpKkjqEgSeoYCpKkjqEgSeoYCpKkzgmTLmA5Wr/1UxP53Pvfe+FEPlfS0uGRgiSps6hCIclPJbknyXSSrZOuR5KWm0UzfZRkBfC7wJuBfcDnk+yoqrsnW9nxY1LTVjC5qSun6qSFWTShAJwDTFfVfQBJrgM2AYbCcWCSgTQJy228sDyD8Hj8H63FFAprgAeHlvcBP3L4Rkm2AFva4hNJ7nmen3c68A/P87WLhWNYHBwDkPcdo0qev+NhP8CI4zjKP+/vm2vFYgqFkVTVNmDb0b5Pkt1VNXUMSpoYx7A4OIbF4XgYA0x+HIvpRPN+YN3Q8trWJ0kak8UUCp8HNiQ5M8kLgUuAHROuSZKWlUUzfVRVTyf5NeD/AiuAD1XVl3r8yKOegloEHMPi4BgWh+NhDDDhcaSqJvn5kqRFZDFNH0mSJsxQkCR1ll0oLNVbaSS5P8mdSfYk2d36TkuyM8m97fnUSdd5uCQfSnIgyV1DfbPWnYGr2r65I8nGyVX+jDnGcGWS/W1/7ElywdC6d7Ux3JPkJydT9bMlWZfk5iR3J/lSkre1/iWzL+YZw5LZF0lOTvK5JF9sY/gvrf/MJLe2Wj/aLrYhyUltebqtX997kVW1bB4MTmD/PXAW8ELgi8DZk65rxNrvB04/rO+/A1tbeyvwvknXOUvdbwQ2AncdqW7gAuDPgQDnArdOuv55xnAl8J9m2fbs9vfqJODM9vdtxSIYwxnAxtZ+KfB3rdYlsy/mGcOS2Rftz/MlrX0icGv7870euKT1fxD4ldb+VeCDrX0J8NG+a1xuRwrdrTSq6ilg5lYaS9UmYHtrbwcummAts6qqzwJfO6x7rro3AdfWwC3AyiRnjKfSuc0xhrlsAq6rqm9X1VeAaQZ/7yaqqh6qqi+09jeAvQzuIrBk9sU8Y5jLotsX7c/zibZ4YnsU8CbghtZ/+H6Y2T83AOclSZ81LrdQmO1WGvP9pVpMCvjLJLe1W30ArK6qh1r7YWD1ZEpbsLnqXmr759fa1MqHhqbuFv0Y2hTE6xj8X+qS3BeHjQGW0L5IsiLJHuAAsJPBEcxjVfV022S4zm4Mbf0h4OV91rfcQmEpe0NVbQTOB65I8sbhlTU4vlxy1xcv1bqBq4HvB14LPAT81mTLGU2SlwAfB95eVY8Pr1sq+2KWMSypfVFV36mq1zK4a8M5wKsmXNKzLLdQWLK30qiq/e35APBJBn+ZHpk5pG/PByZX4YLMVfeS2T9V9Uj7j/u7wO/zzLTEoh1DkhMZ/GP6kar6ROteUvtitjEsxX0BUFWPATcDr2cwPTfzZeLhOrsxtPUvAx7ts67lFgpL8lYaSV6c5KUzbeAngLsY1L65bbYZuHEyFS7YXHXvAC5tV76cCxwamtpYVA6bX/9pBvsDBmO4pF01ciawAfjcuOs7XJuHvgbYW1XvH1q1ZPbFXGNYSvsiyaokK1v7FAa/H7OXQTi8tW12+H6Y2T9vBT7Tjuj6M8kz8ZN4MLiq4u8YzOP9+qTrGbHmsxhcRfFF4EszdTOYW9wF3At8Gjht0rXOUvufMDik/ycGc6WXz1U3gyszfrftmzuBqUnXP88YPtxqvIPBf7hnDG3/620M9wDnT7r+VtMbGEwN3QHsaY8LltK+mGcMS2ZfAK8Gbm+13gX8Zus/i0FgTQMfA05q/Se35em2/qy+a/Q2F5KkznKbPpIkzcNQkCR1DAVJUsdQkCR1DAVJUsdQkCR1DAVJUuf/AwSV8zNWyJL/AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u3WstUd5wgAF"
      },
      "source": [
        "mostly people travel in a short mile with Uber. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SDwy8GC9yk4-"
      },
      "source": [
        "##**What Hour Do Most People Take Uber To Their Destination?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "Gu5wG0j8weFy",
        "outputId": "be7d1614-0cbf-499e-f796-32b23be837bc"
      },
      "source": [
        "hours = data['START_DATE*'].dt.hour.value_counts()\n",
        "hours.plot(kind='bar',color='red',figsize=(10,5))\n",
        "plt.xlabel('Hours')\n",
        "plt.ylabel('Frequency')\n",
        "plt.title('Number of trips Vs hours')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Number of trips Vs hours')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "96KE4-LOyLAv"
      },
      "source": [
        "As we can see most people take Uber to their destination around the 13th hour(1pm) and the least hour is 2 am."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ox1kpa4rSM2a"
      },
      "source": [
        "#**Check The Purpose Of Trips**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 408
        },
        "id": "cSuweXCPxQfw",
        "outputId": "a4145383-3c99-4b52-bfe8-6884a2525f09"
      },
      "source": [
        "data['PURPOSE*'].value_counts().plot(kind='bar',figsize=(10,5),color='brown')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9c6b1950>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xamGGtZUG3PA"
      },
      "source": [
        "We can notice that mostly the purpose of the trip is meeting and meal/entertain."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m_HS_2h-Hjz7"
      },
      "source": [
        "##**Which Day Has The Highest Number Of Trips**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 385
        },
        "id": "oMbw9lSxG2Vl",
        "outputId": "e59b98ff-340b-484b-de48-c617931c102c"
      },
      "source": [
        "data['WEEKDAY'].value_counts().plot(kind='bar',figsize=(10,5),color='blue')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9c5d1f90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4RWCFIfLAP80"
      },
      "source": [
        "So Friday has the highest number of Trips."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "s__XVvP064Lq"
      },
      "source": [
        "##**What Are The Number Of Trips Per Each Day?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "id": "icHvEbmyG2Sh",
        "outputId": "f1b1a35a-c612-421e-9cc9-2b74f791459c"
      },
      "source": [
        "data['DAY'].value_counts().plot(kind='bar',figsize=(10,5),color='green')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9c551fd0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PoN0_6cY8ky_"
      },
      "source": [
        "##**What Are The Trips In The Month**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 342
        },
        "id": "O8cugzJaG2PM",
        "outputId": "7f039f20-03e5-4f22-a870-aff513a572d9"
      },
      "source": [
        "data['MONTH'].value_counts().plot(kind='bar',figsize=(10,5),color='black')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9c501110>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zNDYjjZp_Efl"
      },
      "source": [
        "We can see that December(12) has the most trips."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dif_1w5--k7e"
      },
      "source": [
        "##**The starting points of trips. Where Do People Start Boarding Their Trip From Most?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 753
        },
        "id": "lUUURXrE9G1g",
        "outputId": "76c6aec2-7954-4850-a78d-9752bbf46416"
      },
      "source": [
        "data['START*'].value_counts().plot(kind='bar',figsize=(25,10),color='blue')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fea9a7f4e90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0DYy3fpsAj2V"
      },
      "source": [
        "Most people in this dataset starts their journey from **Cary** followed by some unknown location and then Morrisville."
      ]
    }
  ]
}