project_slide_deck.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Communicate Data Findings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Data Gathering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# import all packages \n",
    "from requests import get\n",
    "from os import path, getcwd, makedirs, listdir \n",
    "from io import BytesIO\n",
    "from zipfile import ZipFile\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import matplotlib.ticker as tick\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "import glob\n",
    "import math\n",
    "import os\n",
    "import os.path\n",
    "import calendar\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from IPython.display import Image\n",
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# downloading the dataset with pandas\n",
    "bike_data_folder = 'trip_data_files'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "ename": "FileExistsError",
     "evalue": "[WinError 183] Cannot create a file when that file already exists: 'trip_data_files'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileExistsError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-e351e6785fee>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmakedirs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbike_data_folder\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'https://s3.amazonaws.com/fordgobike-data/2017-fordgobike-tripdata.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'{}/2017-forgobike-tripdata.csv'\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfolder_name_of_csvs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mmonth\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m12\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mmonth_string\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmonth\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mmonth_leading_zero\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmonth_string\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzfill\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m    219\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    220\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 221\u001b[1;33m         \u001b[0mmkdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    222\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    223\u001b[0m         \u001b[1;31m# Cannot rely on checking for EEXIST, since the operating system\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileExistsError\u001b[0m: [WinError 183] Cannot create a file when that file already exists: 'trip_data_files'"
     ]
    }
   ],
   "source": [
    "makedirs(bike_data_folder)\n",
    "pd.read_csv('https://s3.amazonaws.com/fordgobike-data/2017-fordgobike-tripdata.csv').to_csv('{}/2017-forgobike-tripdata.csv'.format(folder_name_of_csvs))\n",
    "for month in range(1,12):\n",
    "    month_string = str(month)\n",
    "    month_leading_zero = month_string.zfill(2)\n",
    "    \n",
    "    bike_data_url = 'https://s3.amazonaws.com/fordgobike-data/2018' + month_leading_zero + '-fordgobike-tripdata.csv.zip'\n",
    "    response = get(bike_data_url)\n",
    "    \n",
    "      # code below opens zip file; BytesIO returns a readable and writeable view of the contents;\n",
    "    unzipped_file = ZipFile(BytesIO(response.content))\n",
    "        \n",
    "    # puts extracted zip file into folder trip_data_files\n",
    "    unzipped_file.extractall(bike_data_folder)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Combine All Locally Saved CSVs into One DataFrame\n",
    "list_csvs = []\n",
    "for file_name in listdir(bike_data_folder):\n",
    "    list_csvs.append(pd.read_csv(bike_data_folder+'/'+file_name))\n",
    "df = pd.concat(list_csvs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "df.to_csv('data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Loading the csv file into dataframe\n",
    "df = pd.read_csv('data.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Data Accessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
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       "      <th>Unnamed: 0</th>\n",
       "      <th>Unnamed: 0.1</th>\n",
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       "      <td>San Francisco Public Library (Grove St at Hyde...</td>\n",
       "      <td>2018-01-01 15:12:50.2450</td>\n",
       "      <td>1987.0</td>\n",
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       "      <td>74.0</td>\n",
       "      <td>37.776435</td>\n",
       "      <td>-122.426244</td>\n",
       "      <td>Laguna St at Hayes St</td>\n",
       "      <td>2017-12-31 16:57:39.6540</td>\n",
       "      <td>Customer</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>78800</td>\n",
       "      <td>96.0</td>\n",
       "      <td>37.766210</td>\n",
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       "      <td>Dolores St at 15th St</td>\n",
       "      <td>2018-01-01 13:49:55.6170</td>\n",
       "      <td>1965.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>284.0</td>\n",
       "      <td>37.784872</td>\n",
       "      <td>-122.400876</td>\n",
       "      <td>Yerba Buena Center for the Arts (Howard St at ...</td>\n",
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       "      <td>Downtown Berkeley BART</td>\n",
       "      <td>2018-01-01 11:28:36.8830</td>\n",
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       "      <td>245.0</td>\n",
       "      <td>37.870348</td>\n",
       "      <td>-122.267764</td>\n",
       "      <td>Downtown Berkeley BART</td>\n",
       "      <td>2017-12-31 22:45:48.4110</td>\n",
       "      <td>Customer</td>\n",
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       "      <td>5.0</td>\n",
       "      <td>37.783899</td>\n",
       "      <td>-122.408445</td>\n",
       "      <td>Powell St BART Station (Market St at 5th St)</td>\n",
       "      <td>2018-01-01 10:47:23.5310</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>37.774520</td>\n",
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       "      <td>8th St at Ringold St</td>\n",
       "      <td>2017-12-31 17:31:10.6360</td>\n",
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       "      <td>247.0</td>\n",
       "      <td>37.867789</td>\n",
       "      <td>-122.265896</td>\n",
       "      <td>Fulton St at Bancroft Way</td>\n",
       "      <td>2018-01-01 02:29:57.5710</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>239.0</td>\n",
       "      <td>37.868813</td>\n",
       "      <td>-122.258764</td>\n",
       "      <td>Bancroft Way at Telegraph Ave</td>\n",
       "      <td>2017-12-31 14:23:14.0010</td>\n",
       "      <td>Subscriber</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1  bike_id bike_share_for_all_trip  duration_sec  \\\n",
       "0           0           0.0       96                     NaN         80110   \n",
       "1           1           1.0       88                     NaN         78800   \n",
       "2           2           2.0     1094                     NaN         45768   \n",
       "3           3           3.0     2831                     NaN         62172   \n",
       "4           4           4.0     3167                     NaN         43603   \n",
       "\n",
       "   end_station_id  end_station_latitude  end_station_longitude  \\\n",
       "0            43.0             37.778768            -122.415929   \n",
       "1            96.0             37.766210            -122.426614   \n",
       "2           245.0             37.870348            -122.267764   \n",
       "3             5.0             37.783899            -122.408445   \n",
       "4           247.0             37.867789            -122.265896   \n",
       "\n",
       "                                    end_station_name  \\\n",
       "0  San Francisco Public Library (Grove St at Hyde...   \n",
       "1                              Dolores St at 15th St   \n",
       "2                             Downtown Berkeley BART   \n",
       "3       Powell St BART Station (Market St at 5th St)   \n",
       "4                          Fulton St at Bancroft Way   \n",
       "\n",
       "                   end_time  member_birth_year member_gender  \\\n",
       "0  2018-01-01 15:12:50.2450             1987.0          Male   \n",
       "1  2018-01-01 13:49:55.6170             1965.0        Female   \n",
       "2  2018-01-01 11:28:36.8830                NaN           NaN   \n",
       "3  2018-01-01 10:47:23.5310                NaN           NaN   \n",
       "4  2018-01-01 02:29:57.5710             1997.0        Female   \n",
       "\n",
       "   start_station_id  start_station_latitude  start_station_longitude  \\\n",
       "0              74.0               37.776435              -122.426244   \n",
       "1             284.0               37.784872              -122.400876   \n",
       "2             245.0               37.870348              -122.267764   \n",
       "3              60.0               37.774520              -122.409449   \n",
       "4             239.0               37.868813              -122.258764   \n",
       "\n",
       "                                  start_station_name  \\\n",
       "0                              Laguna St at Hayes St   \n",
       "1  Yerba Buena Center for the Arts (Howard St at ...   \n",
       "2                             Downtown Berkeley BART   \n",
       "3                               8th St at Ringold St   \n",
       "4                      Bancroft Way at Telegraph Ave   \n",
       "\n",
       "                 start_time   user_type  \n",
       "0  2017-12-31 16:57:39.6540    Customer  \n",
       "1  2017-12-31 15:56:34.8420    Customer  \n",
       "2  2017-12-31 22:45:48.4110    Customer  \n",
       "3  2017-12-31 17:31:10.6360    Customer  \n",
       "4  2017-12-31 14:23:14.0010  Subscriber  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1338864 entries, 0 to 1338863\n",
      "Data columns (total 18 columns):\n",
      "Unnamed: 0                 1338864 non-null int64\n",
      "Unnamed: 0.1               519700 non-null float64\n",
      "bike_id                    1338864 non-null int64\n",
      "bike_share_for_all_trip    819164 non-null object\n",
      "duration_sec               1338864 non-null int64\n",
      "end_station_id             1336803 non-null float64\n",
      "end_station_latitude       1338864 non-null float64\n",
      "end_station_longitude      1338864 non-null float64\n",
      "end_station_name           1336803 non-null object\n",
      "end_time                   1338864 non-null object\n",
      "member_birth_year          1213626 non-null float64\n",
      "member_gender              1213928 non-null object\n",
      "start_station_id           1336803 non-null float64\n",
      "start_station_latitude     1338864 non-null float64\n",
      "start_station_longitude    1338864 non-null float64\n",
      "start_station_name         1336803 non-null object\n",
      "start_time                 1338864 non-null object\n",
      "user_type                  1338864 non-null object\n",
      "dtypes: float64(8), int64(3), object(7)\n",
      "memory usage: 183.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
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       "      <th>end_station_longitude</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>519700.000000</td>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>1.336803e+06</td>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>1.213626e+06</td>\n",
       "      <td>1.336803e+06</td>\n",
       "      <td>1.338864e+06</td>\n",
       "      <td>1.338864e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.458563e+05</td>\n",
       "      <td>259849.500000</td>\n",
       "      <td>1.987671e+03</td>\n",
       "      <td>9.647702e+02</td>\n",
       "      <td>1.038589e+02</td>\n",
       "      <td>3.776922e+01</td>\n",
       "      <td>-1.223558e+02</td>\n",
       "      <td>1.981468e+03</td>\n",
       "      <td>1.060832e+02</td>\n",
       "      <td>3.776906e+01</td>\n",
       "      <td>-1.223565e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.356365e+05</td>\n",
       "      <td>150024.611786</td>\n",
       "      <td>1.137599e+03</td>\n",
       "      <td>2.945693e+03</td>\n",
       "      <td>9.142859e+01</td>\n",
       "      <td>9.678806e-02</td>\n",
       "      <td>1.557933e-01</td>\n",
       "      <td>1.056388e+01</td>\n",
       "      <td>9.194348e+01</td>\n",
       "      <td>9.689138e-02</td>\n",
       "      <td>1.561779e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000e+01</td>\n",
       "      <td>6.100000e+01</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>3.731285e+01</td>\n",
       "      <td>-1.224443e+02</td>\n",
       "      <td>1.886000e+03</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>3.731285e+01</td>\n",
       "      <td>-1.224443e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.781600e+04</td>\n",
       "      <td>129924.750000</td>\n",
       "      <td>1.025000e+03</td>\n",
       "      <td>3.620000e+02</td>\n",
       "      <td>2.700000e+01</td>\n",
       "      <td>3.777331e+01</td>\n",
       "      <td>-1.224107e+02</td>\n",
       "      <td>1.976000e+03</td>\n",
       "      <td>2.800000e+01</td>\n",
       "      <td>3.777241e+01</td>\n",
       "      <td>-1.224117e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.577100e+04</td>\n",
       "      <td>259849.500000</td>\n",
       "      <td>2.043000e+03</td>\n",
       "      <td>5.700000e+02</td>\n",
       "      <td>7.500000e+01</td>\n",
       "      <td>3.778240e+01</td>\n",
       "      <td>-1.223974e+02</td>\n",
       "      <td>1.984000e+03</td>\n",
       "      <td>7.800000e+01</td>\n",
       "      <td>3.778175e+01</td>\n",
       "      <td>-1.223985e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.904752e+05</td>\n",
       "      <td>389774.250000</td>\n",
       "      <td>2.907000e+03</td>\n",
       "      <td>8.950000e+02</td>\n",
       "      <td>1.630000e+02</td>\n",
       "      <td>3.779539e+01</td>\n",
       "      <td>-1.223903e+02</td>\n",
       "      <td>1.989000e+03</td>\n",
       "      <td>1.670000e+02</td>\n",
       "      <td>3.779539e+01</td>\n",
       "      <td>-1.223898e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.196990e+05</td>\n",
       "      <td>519699.000000</td>\n",
       "      <td>4.307000e+03</td>\n",
       "      <td>8.636900e+04</td>\n",
       "      <td>3.560000e+02</td>\n",
       "      <td>4.551000e+01</td>\n",
       "      <td>-7.357000e+01</td>\n",
       "      <td>2.000000e+03</td>\n",
       "      <td>3.560000e+02</td>\n",
       "      <td>4.551000e+01</td>\n",
       "      <td>-7.357000e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0   Unnamed: 0.1       bike_id  duration_sec  \\\n",
       "count  1.338864e+06  519700.000000  1.338864e+06  1.338864e+06   \n",
       "mean   1.458563e+05  259849.500000  1.987671e+03  9.647702e+02   \n",
       "std    1.356365e+05  150024.611786  1.137599e+03  2.945693e+03   \n",
       "min    0.000000e+00       0.000000  1.000000e+01  6.100000e+01   \n",
       "25%    4.781600e+04  129924.750000  1.025000e+03  3.620000e+02   \n",
       "50%    9.577100e+04  259849.500000  2.043000e+03  5.700000e+02   \n",
       "75%    1.904752e+05  389774.250000  2.907000e+03  8.950000e+02   \n",
       "max    5.196990e+05  519699.000000  4.307000e+03  8.636900e+04   \n",
       "\n",
       "       end_station_id  end_station_latitude  end_station_longitude  \\\n",
       "count    1.336803e+06          1.338864e+06           1.338864e+06   \n",
       "mean     1.038589e+02          3.776922e+01          -1.223558e+02   \n",
       "std      9.142859e+01          9.678806e-02           1.557933e-01   \n",
       "min      3.000000e+00          3.731285e+01          -1.224443e+02   \n",
       "25%      2.700000e+01          3.777331e+01          -1.224107e+02   \n",
       "50%      7.500000e+01          3.778240e+01          -1.223974e+02   \n",
       "75%      1.630000e+02          3.779539e+01          -1.223903e+02   \n",
       "max      3.560000e+02          4.551000e+01          -7.357000e+01   \n",
       "\n",
       "       member_birth_year  start_station_id  start_station_latitude  \\\n",
       "count       1.213626e+06      1.336803e+06            1.338864e+06   \n",
       "mean        1.981468e+03      1.060832e+02            3.776906e+01   \n",
       "std         1.056388e+01      9.194348e+01            9.689138e-02   \n",
       "min         1.886000e+03      3.000000e+00            3.731285e+01   \n",
       "25%         1.976000e+03      2.800000e+01            3.777241e+01   \n",
       "50%         1.984000e+03      7.800000e+01            3.778175e+01   \n",
       "75%         1.989000e+03      1.670000e+02            3.779539e+01   \n",
       "max         2.000000e+03      3.560000e+02            4.551000e+01   \n",
       "\n",
       "       start_station_longitude  \n",
       "count             1.338864e+06  \n",
       "mean             -1.223565e+02  \n",
       "std               1.561779e-01  \n",
       "min              -1.224443e+02  \n",
       "25%              -1.224117e+02  \n",
       "50%              -1.223985e+02  \n",
       "75%              -1.223898e+02  \n",
       "max              -7.357000e+01  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "df.drop(['Unnamed: 0', 'Unnamed: 0.1'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1338864 entries, 0 to 1338863\n",
      "Data columns (total 16 columns):\n",
      "bike_id                    1338864 non-null int64\n",
      "bike_share_for_all_trip    819164 non-null object\n",
      "duration_sec               1338864 non-null int64\n",
      "end_station_id             1336803 non-null float64\n",
      "end_station_latitude       1338864 non-null float64\n",
      "end_station_longitude      1338864 non-null float64\n",
      "end_station_name           1336803 non-null object\n",
      "end_time                   1338864 non-null object\n",
      "member_birth_year          1213626 non-null float64\n",
      "member_gender              1213928 non-null object\n",
      "start_station_id           1336803 non-null float64\n",
      "start_station_latitude     1338864 non-null float64\n",
      "start_station_longitude    1338864 non-null float64\n",
      "start_station_name         1336803 non-null object\n",
      "start_time                 1338864 non-null object\n",
      "user_type                  1338864 non-null object\n",
      "dtypes: float64(7), int64(2), object(7)\n",
      "memory usage: 163.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "# Cleaning Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "#Making a copy of the dataframe\n",
    "df_clean = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Changing dates to timestamps\n",
    "df_clean.start_time = pd.to_datetime(df_clean.start_time)\n",
    "df_clean.end_time = pd.to_datetime(df_clean.end_time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Changing user type, gender and bike_share_for_all_trip to category\n",
    "df_clean.user_type = df_clean.user_type.astype('category')\n",
    "df_clean.member_gender = df_clean.member_gender.astype('category')\n",
    "df_clean.bike_share_for_all_trip = df_clean.bike_share_for_all_trip.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Changing bike id, start_station_id, end_station_id to object\n",
    "df_clean.bike_id = df_clean.bike_id.astype(str)\n",
    "df_clean.start_station_id = df_clean.bike_id.astype(str)\n",
    "df_clean.end_station_id = df_clean.bike_id.astype(str)\n",
    "df_clean.duration_sec=df_clean.duration_sec.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Calculating the age of the user\n",
    "df_clean['member_age'] = 2019-df_clean['member_birth_year']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    32.0\n",
       "1    54.0\n",
       "2     NaN\n",
       "3     NaN\n",
       "4    22.0\n",
       "Name: member_age, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.member_age.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# creating new attributes\n",
    "df_clean['start_time_month_name']=df_clean['start_time'].dt.strftime('%B')\n",
    "df_clean['end_time_month_name']=df_clean['end_time'].dt.strftime('%B')\n",
    "df_clean['start_time_month']=df_clean['start_time'].dt.month.astype(int)\n",
    "df_clean['end_time_month']=df_clean['end_time'].dt.month.astype(int)\n",
    "df_clean['start_time_weekday']=df_clean['start_time'].dt.strftime('%a')\n",
    "df_clean['end_time_weekday']=df_clean['end_time'].dt.strftime('%a')\n",
    "df_clean['start_time_hour']=df_clean['start_time'].dt.hour\n",
    "df_clean['end_time_hour']=df_clean['end_time'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bike_id</th>\n",
       "      <th>bike_share_for_all_trip</th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_time</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>...</th>\n",
       "      <th>user_type</th>\n",
       "      <th>member_age</th>\n",
       "      <th>start_time_month_name</th>\n",
       "      <th>end_time_month_name</th>\n",
       "      <th>start_time_month</th>\n",
       "      <th>end_time_month</th>\n",
       "      <th>start_time_weekday</th>\n",
       "      <th>end_time_weekday</th>\n",
       "      <th>start_time_hour</th>\n",
       "      <th>end_time_hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>96</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80110</td>\n",
       "      <td>96</td>\n",
       "      <td>37.778768</td>\n",
       "      <td>-122.415929</td>\n",
       "      <td>San Francisco Public Library (Grove St at Hyde...</td>\n",
       "      <td>2018-01-01 15:12:50.245</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>32.0</td>\n",
       "      <td>December</td>\n",
       "      <td>January</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Mon</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>88</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78800</td>\n",
       "      <td>88</td>\n",
       "      <td>37.766210</td>\n",
       "      <td>-122.426614</td>\n",
       "      <td>Dolores St at 15th St</td>\n",
       "      <td>2018-01-01 13:49:55.617</td>\n",
       "      <td>1965.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>54.0</td>\n",
       "      <td>December</td>\n",
       "      <td>January</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Mon</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1094</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45768</td>\n",
       "      <td>1094</td>\n",
       "      <td>37.870348</td>\n",
       "      <td>-122.267764</td>\n",
       "      <td>Downtown Berkeley BART</td>\n",
       "      <td>2018-01-01 11:28:36.883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>December</td>\n",
       "      <td>January</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Mon</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62172</td>\n",
       "      <td>2831</td>\n",
       "      <td>37.783899</td>\n",
       "      <td>-122.408445</td>\n",
       "      <td>Powell St BART Station (Market St at 5th St)</td>\n",
       "      <td>2018-01-01 10:47:23.531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>December</td>\n",
       "      <td>January</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Mon</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43603</td>\n",
       "      <td>3167</td>\n",
       "      <td>37.867789</td>\n",
       "      <td>-122.265896</td>\n",
       "      <td>Fulton St at Bancroft Way</td>\n",
       "      <td>2018-01-01 02:29:57.571</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>...</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>22.0</td>\n",
       "      <td>December</td>\n",
       "      <td>January</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Mon</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  bike_id bike_share_for_all_trip duration_sec end_station_id  \\\n",
       "0      96                     NaN        80110             96   \n",
       "1      88                     NaN        78800             88   \n",
       "2    1094                     NaN        45768           1094   \n",
       "3    2831                     NaN        62172           2831   \n",
       "4    3167                     NaN        43603           3167   \n",
       "\n",
       "   end_station_latitude  end_station_longitude  \\\n",
       "0             37.778768            -122.415929   \n",
       "1             37.766210            -122.426614   \n",
       "2             37.870348            -122.267764   \n",
       "3             37.783899            -122.408445   \n",
       "4             37.867789            -122.265896   \n",
       "\n",
       "                                    end_station_name                end_time  \\\n",
       "0  San Francisco Public Library (Grove St at Hyde... 2018-01-01 15:12:50.245   \n",
       "1                              Dolores St at 15th St 2018-01-01 13:49:55.617   \n",
       "2                             Downtown Berkeley BART 2018-01-01 11:28:36.883   \n",
       "3       Powell St BART Station (Market St at 5th St) 2018-01-01 10:47:23.531   \n",
       "4                          Fulton St at Bancroft Way 2018-01-01 02:29:57.571   \n",
       "\n",
       "   member_birth_year member_gender      ...         user_type  member_age  \\\n",
       "0             1987.0          Male      ...          Customer        32.0   \n",
       "1             1965.0        Female      ...          Customer        54.0   \n",
       "2                NaN           NaN      ...          Customer         NaN   \n",
       "3                NaN           NaN      ...          Customer         NaN   \n",
       "4             1997.0        Female      ...        Subscriber        22.0   \n",
       "\n",
       "   start_time_month_name end_time_month_name start_time_month end_time_month  \\\n",
       "0               December             January               12              1   \n",
       "1               December             January               12              1   \n",
       "2               December             January               12              1   \n",
       "3               December             January               12              1   \n",
       "4               December             January               12              1   \n",
       "\n",
       "   start_time_weekday end_time_weekday start_time_hour  end_time_hour  \n",
       "0                 Sun              Mon              16             15  \n",
       "1                 Sun              Mon              15             13  \n",
       "2                 Sun              Mon              22             11  \n",
       "3                 Sun              Mon              17             10  \n",
       "4                 Sun              Mon              14              2  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'number of rides')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Histogram for age distribution\n",
    "plt.hist(data = df_clean, x = 'member_age')\n",
    "plt.title('Histogram for age distribution')\n",
    "plt.xlabel('member_age',fontsize = 14)\n",
    "plt.ylabel('number of rides',fontsize = 14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37.53150311545731"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.member_age.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "The average member's age is 37.5 years that makes the most number of trips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Deleting the records of users aged above 60\n",
    "df_clean = df_clean[df_clean['member_age']<=60]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Changing the data type of age and year\n",
    "df_clean.member_age = df_clean.member_age.astype(int)\n",
    "df_clean.member_birth_year = df_clean.member_birth_year.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1174797 entries, 0 to 1338863\n",
      "Data columns (total 25 columns):\n",
      "bike_id                    1174797 non-null object\n",
      "bike_share_for_all_trip    737975 non-null category\n",
      "duration_sec               1174797 non-null object\n",
      "end_station_id             1174797 non-null object\n",
      "end_station_latitude       1174797 non-null float64\n",
      "end_station_longitude      1174797 non-null float64\n",
      "end_station_name           1172849 non-null object\n",
      "end_time                   1174797 non-null datetime64[ns]\n",
      "member_birth_year          1174797 non-null int32\n",
      "member_gender              1174797 non-null category\n",
      "start_station_id           1174797 non-null object\n",
      "start_station_latitude     1174797 non-null float64\n",
      "start_station_longitude    1174797 non-null float64\n",
      "start_station_name         1172849 non-null object\n",
      "start_time                 1174797 non-null datetime64[ns]\n",
      "user_type                  1174797 non-null category\n",
      "member_age                 1174797 non-null int32\n",
      "start_time_month_name      1174797 non-null object\n",
      "end_time_month_name        1174797 non-null object\n",
      "start_time_month           1174797 non-null int32\n",
      "end_time_month             1174797 non-null int32\n",
      "start_time_weekday         1174797 non-null object\n",
      "end_time_weekday           1174797 non-null object\n",
      "start_time_hour            1174797 non-null int64\n",
      "end_time_hour              1174797 non-null int64\n",
      "dtypes: category(3), datetime64[ns](2), float64(4), int32(4), int64(2), object(10)\n",
      "memory usage: 191.6+ MB\n"
     ]
    }
   ],
   "source": [
    "df_clean.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### The possible questions that can be framed\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "\n",
    "1.What are the stations that are frequently visited?\n",
    "\n",
    "2.Is the trip duration affected by weather( months/seasons)?\n",
    "\n",
    "3.Does the above depend on if a user is a subscriber or customer?\n",
    "\n",
    "4.Does the above depend on gender of the user?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Univariate Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# What are the most visited start and end stations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                      Laguna St at Hayes St\n",
       "1          Yerba Buena Center for the Arts (Howard St at ...\n",
       "2                                     Downtown Berkeley BART\n",
       "3                                       8th St at Ringold St\n",
       "4                              Bancroft Way at Telegraph Ave\n",
       "5             San Francisco Caltrain (Townsend St at 4th St)\n",
       "6                                    Addison St at Fourth St\n",
       "7          Yerba Buena Center for the Arts (Howard St at ...\n",
       "8            Mechanics Monument Plaza (Market St at Bush St)\n",
       "9            Mechanics Monument Plaza (Market St at Bush St)\n",
       "10         Yerba Buena Center for the Arts (Howard St at ...\n",
       "11         Yerba Buena Center for the Arts (Howard St at ...\n",
       "12         San Francisco Caltrain Station 2  (Townsend St...\n",
       "13         San Francisco Caltrain Station 2  (Townsend St...\n",
       "14                                     3rd St at Townsend St\n",
       "15                                     Clay St at Battery St\n",
       "16                                     Clay St at Battery St\n",
       "17                                       Folsom St at 9th St\n",
       "18                                       Folsom St at 9th St\n",
       "19                               Cyril Magnin St at Ellis St\n",
       "20                                 San Salvador St at 9th St\n",
       "21            San Francisco Caltrain (Townsend St at 4th St)\n",
       "22                  Garfield Square (25th St at Harrison St)\n",
       "23                                     3rd St at Townsend St\n",
       "24                                     3rd St at Townsend St\n",
       "25                                     3rd St at Townsend St\n",
       "26                                     3rd St at Townsend St\n",
       "27                             The Embarcadero at Sansome St\n",
       "28                                        Broadway at Kearny\n",
       "29                             The Embarcadero at Sansome St\n",
       "                                 ...                        \n",
       "1338834                              30th St at San Jose Ave\n",
       "1338835                                19th St at Mission St\n",
       "1338836                               Valencia St at 24th St\n",
       "1338837                                   Broadway at Kearny\n",
       "1338838                            Lake Merritt BART Station\n",
       "1338839     Montgomery St BART Station (Market St at 2nd St)\n",
       "1338840                                   West St at 40th St\n",
       "1338841                                  Frank H Ogawa Plaza\n",
       "1338842                                  Frank H Ogawa Plaza\n",
       "1338843                           Golden Gate Ave at Polk St\n",
       "1338844                            McAllister St at Baker St\n",
       "1338845                       Father Alfred E Boeddeker Park\n",
       "1338846                               Lakeside Dr at 14th St\n",
       "1338847                             Telegraph Ave at 19th St\n",
       "1338848                              Grand Ave at Webster St\n",
       "1338849                                Sanchez St at 15th St\n",
       "1338850                             Market St at Franklin St\n",
       "1338851     Montgomery St BART Station (Market St at 2nd St)\n",
       "1338852                                 8th St at Brannan St\n",
       "1338853                                    18th St at Noe St\n",
       "1338854     Montgomery St BART Station (Market St at 2nd St)\n",
       "1338855                               Valencia St at 16th St\n",
       "1338856                                     San Pedro Square\n",
       "1338857                      MacArthur Blvd at Telegraph Ave\n",
       "1338858                                16th St at Prosper St\n",
       "1338859                           Golden Gate Ave at Polk St\n",
       "1338860                      Eureka Valley Recreation Center\n",
       "1338861                               Lakeside Dr at 14th St\n",
       "1338862       San Francisco Caltrain (Townsend St at 4th St)\n",
       "1338863                                  Folsom St at 3rd St\n",
       "Name: start_station_name, Length: 1338864, dtype: object"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['start_station_name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "def calculate_count(column):\n",
    "    # Convert column to string and seperate it by '|'\n",
    "    data = df_clean[column].str.cat(sep = '|')\n",
    "    \n",
    "    # Storing the values seperately in a Pandas series\n",
    "    data = pd.Series(data.split('|'))\n",
    "    count = data.value_counts(ascending = False)\n",
    "    \n",
    "    return count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "San Francisco Caltrain (Townsend St at 4th St)               26697\n",
       "San Francisco Caltrain Station 2  (Townsend St at 4th St)    25561\n",
       "Market St at 10th St                                         25376\n",
       "San Francisco Ferry Building (Harry Bridges Plaza)           24990\n",
       "Berry St at 4th St                                           24726\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = calculate_count('start_station_name')\n",
    "#printing top 5 values\n",
    "count.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot for most visited start stations\n",
    "count.head().plot(kind='barh', figsize = (10, 5))\n",
    "plt.title('Most visited start stations',fontsize = 14)\n",
    "plt.xlabel('count of rides',fontsize = 14)\n",
    "plt.ylabel('station name',fontsize = 14);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          San Francisco Public Library (Grove St at Hyde...\n",
       "1                                      Dolores St at 15th St\n",
       "2                                     Downtown Berkeley BART\n",
       "3               Powell St BART Station (Market St at 5th St)\n",
       "4                                  Fulton St at Bancroft Way\n",
       "5             San Francisco Caltrain (Townsend St at 4th St)\n",
       "6                                    Addison St at Fourth St\n",
       "7          Yerba Buena Center for the Arts (Howard St at ...\n",
       "8            Mechanics Monument Plaza (Market St at Bush St)\n",
       "9            Mechanics Monument Plaza (Market St at Bush St)\n",
       "10                                     Howard St at Beale St\n",
       "11                                     Howard St at Beale St\n",
       "12                                     Spear St at Folsom St\n",
       "13                                     Spear St at Folsom St\n",
       "14                             The Embarcadero at Steuart St\n",
       "15                                   Beale St at Harrison St\n",
       "16                                   Beale St at Harrison St\n",
       "17         San Francisco Ferry Building (Harry Bridges Pl...\n",
       "18         San Francisco Ferry Building (Harry Bridges Pl...\n",
       "19                                      Folsom St at 19th St\n",
       "20                                     5th St at Virginia St\n",
       "21                             The Embarcadero at Sansome St\n",
       "22                                      Folsom St at 15th St\n",
       "23                             The Embarcadero at Steuart St\n",
       "24                             The Embarcadero at Steuart St\n",
       "25                             The Embarcadero at Steuart St\n",
       "26                             The Embarcadero at Steuart St\n",
       "27         San Francisco Ferry Building (Harry Bridges Pl...\n",
       "28                                     Clay St at Battery St\n",
       "29         San Francisco Ferry Building (Harry Bridges Pl...\n",
       "                                 ...                        \n",
       "1338834                               17th St at Valencia St\n",
       "1338835                              30th St at San Jose Ave\n",
       "1338836                               Valencia St at 22nd St\n",
       "1338837                  Union Square (Powell St at Post St)\n",
       "1338838                                 2nd Ave at E 18th St\n",
       "1338839                                 5th St at Brannan St\n",
       "1338840                                 65th St at Hollis St\n",
       "1338841                                  Broadway at 40th St\n",
       "1338842                                  Broadway at 40th St\n",
       "1338843                           Golden Gate Ave at Polk St\n",
       "1338844                               Grove St at Divisadero\n",
       "1338845                                  Folsom St at 9th St\n",
       "1338846                                   12th St at 4th Ave\n",
       "1338847                                  Broadway at 30th St\n",
       "1338848                              Grand Ave at Perkins St\n",
       "1338849     Embarcadero BART Station (Beale St at Market St)\n",
       "1338850                                 Bryant St at 15th St\n",
       "1338851      Mechanics Monument Plaza (Market St at Bush St)\n",
       "1338852                               Central Ave at Fell St\n",
       "1338853                                17th St at Dolores St\n",
       "1338854                                Clay St at Battery St\n",
       "1338855                           Golden Gate Ave at Polk St\n",
       "1338856                              Pierce Ave at Market St\n",
       "1338857                           Market St at Brockhurst St\n",
       "1338858                                    18th St at Noe St\n",
       "1338859                                      Franklin Square\n",
       "1338860                       Valencia St at Cesar Chavez St\n",
       "1338861                                  Bay Pl at Vernon St\n",
       "1338862                              Beale St at Harrison St\n",
       "1338863                                   Berry St at 4th St\n",
       "Name: end_station_name, Length: 1338864, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['end_station_name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "San Francisco Caltrain (Townsend St at 4th St)               35693\n",
       "San Francisco Caltrain Station 2  (Townsend St at 4th St)    32043\n",
       "San Francisco Ferry Building (Harry Bridges Plaza)           29624\n",
       "Montgomery St BART Station (Market St at 2nd St)             27794\n",
       "Berry St at 4th St                                           24191\n",
       "dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = calculate_count('end_station_name')\n",
    "#printing top 5 values\n",
    "count.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot for most visited end stations.\n",
    "count.head().plot(kind='barh', figsize = (10, 5))\n",
    "plt.title('Most visited end stations',fontsize = 14)\n",
    "plt.ylabel('count of rides',fontsize = 14)\n",
    "plt.xlabel('station name',fontsize = 14);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "As per the above plots,most of the member's source and destination station is San Franciso Caltrain (Townsend St at 4th St) compared to other stations.\n",
    "Looks like all the top 5 stations are busy but the total number of rides in San Franciso Caltrain (Townsend St at 4th St) is more."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#  How does rides trend change per hour,weekday and month?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting monthly usage of bike share system\n",
    "sns.countplot(x='start_time_month',data=df_clean)\n",
    "plt.title('Monthly usage of bike share system',fontsize = 14)\n",
    "plt.ylabel('count of rides',fontsize = 14)\n",
    "plt.xlabel('Month',fontsize = 14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "As per the plot,the usage of bike share system is highest in the month May and June,during summer holidays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting weekly usage of bike share system\n",
    "sns.countplot(data=df_clean,x='start_time_weekday')\n",
    "plt.title('Weekly usage of bike share system',fontsize = 14)\n",
    "plt.ylabel('count of rides',fontsize = 14)\n",
    "plt.xlabel('week',fontsize = 14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Interestingly ,the Bike share system is used more in weekdays,between tuesday and thursday than in the weekends.Usage of bike share system is least during weekends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# PLotting hourly usage of the bike sharing system\n",
    "sns.countplot(data=df_clean, x='start_time_hour')\n",
    "plt.title('Hourly usage of bike share system',fontsize = 14)\n",
    "plt.ylabel('count of rides',fontsize = 14)\n",
    "plt.xlabel('hour',fontsize = 14);\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "The peak hours are observed between 8-9am in the morning and 5-6pm in the evenings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Bivariate Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Does the usage of bike share system depend on user type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Bivariate plot for monthly usage of bike share system\n",
    "sns.countplot(data = df_clean, x = 'start_time_month', hue = 'user_type')\n",
    "plt.title('monthly usage of bike system ',fontsize = 14)\n",
    "plt.xlabel('month',fontsize = 14)\n",
    "plt.ylabel('count of bike rides',fontsize = 14);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "For Customers, the bike renting is high in demand around summertime, reaching its peak in June. For Subscribers, the highest demand is in May and June , reaching it's peak in June. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Bivariate plot for weekly usage of bike share system\n",
    "sns.countplot(data=df_clean, x='start_time_weekday', hue=\"user_type\")\n",
    "plt.title('weekly usage of bike system',fontsize = 14)\n",
    "plt.xlabel('week',fontsize = 14)\n",
    "plt.ylabel('count of rides',fontsize = 14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "The trend of customers is reverse to that of the subscribers.Customers use the bike share system mostly during weekends and subscribers use it during weekdays. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Bivariate plot for hourly usage of bike share system\n",
    "sns.countplot(data=df_clean, x='start_time_hour', hue=\"user_type\")\n",
    "plt.title('Hourly usage of the bike share system per user type', fontsize = 14)\n",
    "plt.xlabel('hour', fontsize = 14)\n",
    "plt.ylabel('count of bike rides', fontsize = 14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Customers use bikes mainly between 8 am - 7 pm, reaching the renting peak around 5pm. Subscribers on the other side use the system at around 8-9am and 5-6pm."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Multivariate Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Changing the datatype of variables\n",
    "df_clean['start_time_month']=df_clean['start_time'].dt.month.astype(str)\n",
    "df_clean['end_time_month']=df_clean['end_time'].dt.month.astype(str)\n",
    "df_clean.duration_sec=df_clean.duration_sec.astype(int)\n",
    "df_clean.user_type=df_clean.user_type.astype(str)\n",
    "df_clean.bike_id=df_clean.bike_id.astype(int)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Does usage of bike share system depend on gender?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Monthly usage of bike system')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for montly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_month']).count()['bike_id']\n",
    "df1 = df1.reset_index(name = 'count_bike_id')\n",
    "df1 = df1.pivot(index = 'start_time_month', columns = 'member_gender',\n",
    "                            values = 'count_bike_id')\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'count(bike_id)'})\n",
    "plt.title('Monthly usage of bike system',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Usage of bike is highest in June for all the genders and highest usage is by Male followed by Female and Other.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Weekly usage of bike system')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for weekly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_weekday']).count()['bike_id']\n",
    "df1 = df1.reset_index(name = 'count_bike_id')\n",
    "df1 = df1.pivot(index = 'start_time_weekday', columns = 'member_gender',\n",
    "                            values = 'count_bike_id')\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'count(bike_id)'})\n",
    "plt.title('Weekly usage of bike system',fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "For all the three genders,usage is least during weekends.During usage is observed on Tuesday and wednesday."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Hourly usage of bike system')"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for hourly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_hour']).count()['bike_id']\n",
    "df1 = df1.reset_index(name = 'count_bike_id')\n",
    "df1 = df1.pivot(index = 'start_time_hour', columns = 'member_gender',\n",
    "                            values = 'count_bike_id')\n",
    "plt.figure(figsize=[11.69,8.27])\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'count(bike_id)'})\n",
    "plt.title('Hourly usage of bike system',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "At 8am-9am and 5pm-6pm the highest usage is seen by all the genders.Least usage is observed during 12am-5am.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'monthly usage of bike system')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for montly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_month']).mean()['duration_sec']\n",
    "df1 = df1.reset_index(name = 'duration_sec_avg')\n",
    "df1 = df1.pivot(index = 'start_time_month', columns = 'member_gender',\n",
    "                            values = 'duration_sec_avg')\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'mean(duration_sec)'})\n",
    "plt.title('Monthly usage of bike system',fontsize=16)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "The highest time on bikes is spent in July by Others,followed by Female.Men spend comparatively less time than the other two genders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'weekly usage of bike system')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for weekly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_weekday']).mean()['duration_sec']\n",
    "df1 = df1.reset_index(name = 'duration_sec_avg')\n",
    "df1 = df1.pivot(index = 'start_time_weekday', columns = 'member_gender',\n",
    "                            values = 'duration_sec_avg')\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'mean(duration_sec)'})\n",
    "plt.title('Weekly usage of bike system',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "All the three genders spend more time on bikes during weekends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'weekly usage of bike system')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 841.68x595.44 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Multivariate plot for hourly usage of bike share system\n",
    "df1 = df_clean.groupby(['member_gender', 'start_time_hour']).mean()['duration_sec']\n",
    "df1 = df1.reset_index(name = 'duration_sec_avg')\n",
    "df1 = df1.pivot(index = 'start_time_hour', columns = 'member_gender',\n",
    "                            values = 'duration_sec_avg')\n",
    "plt.figure(figsize=[11.69,8.27])\n",
    "sns.heatmap(df1, annot = True, fmt = '.1f',\n",
    "           cbar_kws = {'label' : 'mean(duration_sec)'})\n",
    "plt.title('Weekly usage of bike system',fontsize=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Mean time spent by male is female and male is highest at 3am and  for other it is at 2am."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Key Insights"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The variables  'bike_count' and 'duration_sec' are inversely proportional to each other.\n",
    "\n",
    "In all the three kind of plots(hourly,weekly and monthly):\n",
    "\n",
    "   1.the number of bikes used by men is more but average duration time spent by them is less.\n",
    "    \n",
    "   2.the number of bikes used by others is less but average duration time spent by them is more.\n",
    "    \n",
    "   3.the number of bikes used on weekends is less but average duration time spent by them is more.\n",
    "    "
   ]
  },
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   "source": [
    "## CONCLUSION"
   ]
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   "source": [
    "In this analysis by plotting Bike type behaviour throughout that day,weekend and month,I conclude the following:\n",
    "\n",
    "The average age of the users is around 37.\n",
    "\n",
    "Customers use bikes mainly between 8 am - 7 pm,may be during office hours.Whereas,Subscribers on the other side use the system at around 8am-9am and 5pm-6pm.\n",
    "\n",
    "Customers use bikes mostly during weekends while subscribers use them during the weekdays.\n",
    "\n",
    "Generally,in both customers and subscribers there are more male users as compared to female users using the bike share system."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "slide"
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   "source": [
    "## REFERENCES"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "1.https://stackoverflow.com/questions/8024248/telling-python-to-save-a-txt-file-to-a-certain-directory-on-windows-and-mac\n",
    "\n",
    "2.https://timestamp.online/article/how-to-convert-timestamp-to-datetime-in-python\n",
    "\n",
    "3.https://classroom.udacity.com/nanodegrees/nd002/parts/9f7e8991-8bfb-4103-8307-3b6f93f0ecc7/modules/1dc09d28-5703-493c-aab5-a418b8bfa3e1/lessons/b86503df-e416-4f0e-9e2d-a7a3c08d0bc3/concepts/67ba40a3-42b6-4216-a100-19c5e565dfbe\n",
    "\n",
    "4.https://classroom.udacity.com/nanodegrees/nd002/parts/9f7e8991-8bfb-4103-8307-3b6f93f0ecc7/modules/1dc09d28-5703-493c-aab5-a418b8bfa3e1/lessons/22ff3b91-42f7-420e-b6ad-de0b29684ed0/concepts/7c2f7055-36bc-4370-b81e-68a897951353\n",
    "\n",
    "5.https://classroom.udacity.com/nanodegrees/nd002/parts/9f7e8991-8bfb-4103-8307-3b6f93f0ecc7/modules/1dc09d28-5703-493c-aab5-a418b8bfa3e1/lessons/6ab50b2b-0a93-489b-a142-3b84a151e9d9/concepts/c8f7618a-637d-427a-b8df-83a0bc45a4cf"
   ]
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