Part_I_exploration_template.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fordgobike-tripdata\n",
    "\n",
    "## by Ramya Ramachandra\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "## Data Wrangling\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This data set contains information about rides made in bike-sharing system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import all packages and set plots to be embedded inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>start_time</th>\n",
       "      <th>end_time</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>bike_id</th>\n",
       "      <th>user_type</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>bike_share_for_all_trip</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52185</td>\n",
       "      <td>2019-02-28 17:32:10.1450</td>\n",
       "      <td>2019-03-01 08:01:55.9750</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Montgomery St BART Station (Market St at 2nd St)</td>\n",
       "      <td>37.789625</td>\n",
       "      <td>-122.400811</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Commercial St at Montgomery St</td>\n",
       "      <td>37.794231</td>\n",
       "      <td>-122.402923</td>\n",
       "      <td>4902</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>42521</td>\n",
       "      <td>2019-02-28 18:53:21.7890</td>\n",
       "      <td>2019-03-01 06:42:03.0560</td>\n",
       "      <td>23.0</td>\n",
       "      <td>The Embarcadero at Steuart St</td>\n",
       "      <td>37.791464</td>\n",
       "      <td>-122.391034</td>\n",
       "      <td>81.0</td>\n",
       "      <td>Berry St at 4th St</td>\n",
       "      <td>37.775880</td>\n",
       "      <td>-122.393170</td>\n",
       "      <td>2535</td>\n",
       "      <td>Customer</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>61854</td>\n",
       "      <td>2019-02-28 12:13:13.2180</td>\n",
       "      <td>2019-03-01 05:24:08.1460</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Market St at Dolores St</td>\n",
       "      <td>37.769305</td>\n",
       "      <td>-122.426826</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Powell St BART Station (Market St at 4th St)</td>\n",
       "      <td>37.786375</td>\n",
       "      <td>-122.404904</td>\n",
       "      <td>5905</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1972.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36490</td>\n",
       "      <td>2019-02-28 17:54:26.0100</td>\n",
       "      <td>2019-03-01 04:02:36.8420</td>\n",
       "      <td>375.0</td>\n",
       "      <td>Grove St at Masonic Ave</td>\n",
       "      <td>37.774836</td>\n",
       "      <td>-122.446546</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Central Ave at Fell St</td>\n",
       "      <td>37.773311</td>\n",
       "      <td>-122.444293</td>\n",
       "      <td>6638</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1989.0</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1585</td>\n",
       "      <td>2019-02-28 23:54:18.5490</td>\n",
       "      <td>2019-03-01 00:20:44.0740</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Frank H Ogawa Plaza</td>\n",
       "      <td>37.804562</td>\n",
       "      <td>-122.271738</td>\n",
       "      <td>222.0</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.248780</td>\n",
       "      <td>4898</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1974.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration_sec                start_time                  end_time  \\\n",
       "0         52185  2019-02-28 17:32:10.1450  2019-03-01 08:01:55.9750   \n",
       "1         42521  2019-02-28 18:53:21.7890  2019-03-01 06:42:03.0560   \n",
       "2         61854  2019-02-28 12:13:13.2180  2019-03-01 05:24:08.1460   \n",
       "3         36490  2019-02-28 17:54:26.0100  2019-03-01 04:02:36.8420   \n",
       "4          1585  2019-02-28 23:54:18.5490  2019-03-01 00:20:44.0740   \n",
       "\n",
       "   start_station_id                                start_station_name  \\\n",
       "0              21.0  Montgomery St BART Station (Market St at 2nd St)   \n",
       "1              23.0                     The Embarcadero at Steuart St   \n",
       "2              86.0                           Market St at Dolores St   \n",
       "3             375.0                           Grove St at Masonic Ave   \n",
       "4               7.0                               Frank H Ogawa Plaza   \n",
       "\n",
       "   start_station_latitude  start_station_longitude  end_station_id  \\\n",
       "0               37.789625              -122.400811            13.0   \n",
       "1               37.791464              -122.391034            81.0   \n",
       "2               37.769305              -122.426826             3.0   \n",
       "3               37.774836              -122.446546            70.0   \n",
       "4               37.804562              -122.271738           222.0   \n",
       "\n",
       "                               end_station_name  end_station_latitude  \\\n",
       "0                Commercial St at Montgomery St             37.794231   \n",
       "1                            Berry St at 4th St             37.775880   \n",
       "2  Powell St BART Station (Market St at 4th St)             37.786375   \n",
       "3                        Central Ave at Fell St             37.773311   \n",
       "4                         10th Ave at E 15th St             37.792714   \n",
       "\n",
       "   end_station_longitude  bike_id   user_type  member_birth_year  \\\n",
       "0            -122.402923     4902    Customer             1984.0   \n",
       "1            -122.393170     2535    Customer                NaN   \n",
       "2            -122.404904     5905    Customer             1972.0   \n",
       "3            -122.444293     6638  Subscriber             1989.0   \n",
       "4            -122.248780     4898  Subscriber             1974.0   \n",
       "\n",
       "  member_gender bike_share_for_all_trip  \n",
       "0          Male                      No  \n",
       "1           NaN                      No  \n",
       "2          Male                      No  \n",
       "3         Other                      No  \n",
       "4          Male                     Yes  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data=pd.read_csv('201902-fordgobike-tripdata.csv')\n",
    "trip_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 183412 entries, 0 to 183411\n",
      "Data columns (total 16 columns):\n",
      "duration_sec               183412 non-null int64\n",
      "start_time                 183412 non-null object\n",
      "end_time                   183412 non-null object\n",
      "start_station_id           183215 non-null float64\n",
      "start_station_name         183215 non-null object\n",
      "start_station_latitude     183412 non-null float64\n",
      "start_station_longitude    183412 non-null float64\n",
      "end_station_id             183215 non-null float64\n",
      "end_station_name           183215 non-null object\n",
      "end_station_latitude       183412 non-null float64\n",
      "end_station_longitude      183412 non-null float64\n",
      "bike_id                    183412 non-null int64\n",
      "user_type                  183412 non-null object\n",
      "member_birth_year          175147 non-null float64\n",
      "member_gender              175147 non-null object\n",
      "bike_share_for_all_trip    183412 non-null object\n",
      "dtypes: float64(7), int64(2), object(7)\n",
      "memory usage: 22.4+ MB\n"
     ]
    }
   ],
   "source": [
    "trip_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(183412, 16)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>bike_id</th>\n",
       "      <th>member_birth_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>183412.000000</td>\n",
       "      <td>183215.000000</td>\n",
       "      <td>183412.000000</td>\n",
       "      <td>183412.000000</td>\n",
       "      <td>183215.000000</td>\n",
       "      <td>183412.000000</td>\n",
       "      <td>183412.000000</td>\n",
       "      <td>183412.000000</td>\n",
       "      <td>175147.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>726.078435</td>\n",
       "      <td>138.590427</td>\n",
       "      <td>37.771223</td>\n",
       "      <td>-122.352664</td>\n",
       "      <td>136.249123</td>\n",
       "      <td>37.771427</td>\n",
       "      <td>-122.352250</td>\n",
       "      <td>4472.906375</td>\n",
       "      <td>1984.806437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1794.389780</td>\n",
       "      <td>111.778864</td>\n",
       "      <td>0.099581</td>\n",
       "      <td>0.117097</td>\n",
       "      <td>111.515131</td>\n",
       "      <td>0.099490</td>\n",
       "      <td>0.116673</td>\n",
       "      <td>1664.383394</td>\n",
       "      <td>10.116689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>37.317298</td>\n",
       "      <td>-122.453704</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>37.317298</td>\n",
       "      <td>-122.453704</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>1878.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>325.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>37.770083</td>\n",
       "      <td>-122.412408</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.411726</td>\n",
       "      <td>3777.000000</td>\n",
       "      <td>1980.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>514.000000</td>\n",
       "      <td>104.000000</td>\n",
       "      <td>37.780760</td>\n",
       "      <td>-122.398285</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>37.781010</td>\n",
       "      <td>-122.398279</td>\n",
       "      <td>4958.000000</td>\n",
       "      <td>1987.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>796.000000</td>\n",
       "      <td>239.000000</td>\n",
       "      <td>37.797280</td>\n",
       "      <td>-122.286533</td>\n",
       "      <td>235.000000</td>\n",
       "      <td>37.797320</td>\n",
       "      <td>-122.288045</td>\n",
       "      <td>5502.000000</td>\n",
       "      <td>1992.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>85444.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>37.880222</td>\n",
       "      <td>-121.874119</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>37.880222</td>\n",
       "      <td>-121.874119</td>\n",
       "      <td>6645.000000</td>\n",
       "      <td>2001.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        duration_sec  start_station_id  start_station_latitude  \\\n",
       "count  183412.000000     183215.000000           183412.000000   \n",
       "mean      726.078435        138.590427               37.771223   \n",
       "std      1794.389780        111.778864                0.099581   \n",
       "min        61.000000          3.000000               37.317298   \n",
       "25%       325.000000         47.000000               37.770083   \n",
       "50%       514.000000        104.000000               37.780760   \n",
       "75%       796.000000        239.000000               37.797280   \n",
       "max     85444.000000        398.000000               37.880222   \n",
       "\n",
       "       start_station_longitude  end_station_id  end_station_latitude  \\\n",
       "count            183412.000000   183215.000000         183412.000000   \n",
       "mean               -122.352664      136.249123             37.771427   \n",
       "std                   0.117097      111.515131              0.099490   \n",
       "min                -122.453704        3.000000             37.317298   \n",
       "25%                -122.412408       44.000000             37.770407   \n",
       "50%                -122.398285      100.000000             37.781010   \n",
       "75%                -122.286533      235.000000             37.797320   \n",
       "max                -121.874119      398.000000             37.880222   \n",
       "\n",
       "       end_station_longitude        bike_id  member_birth_year  \n",
       "count          183412.000000  183412.000000      175147.000000  \n",
       "mean             -122.352250    4472.906375        1984.806437  \n",
       "std                 0.116673    1664.383394          10.116689  \n",
       "min              -122.453704      11.000000        1878.000000  \n",
       "25%              -122.411726    3777.000000        1980.000000  \n",
       "50%              -122.398279    4958.000000        1987.000000  \n",
       "75%              -122.288045    5502.000000        1992.000000  \n",
       "max              -121.874119    6645.000000        2001.000000  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.describe() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "duration_sec                  0\n",
       "start_time                    0\n",
       "end_time                      0\n",
       "start_station_id            197\n",
       "start_station_name          197\n",
       "start_station_latitude        0\n",
       "start_station_longitude       0\n",
       "end_station_id              197\n",
       "end_station_name            197\n",
       "end_station_latitude          0\n",
       "end_station_longitude         0\n",
       "bike_id                       0\n",
       "user_type                     0\n",
       "member_birth_year          8265\n",
       "member_gender              8265\n",
       "bike_share_for_all_trip       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    2019-02-28 17:32:10.1450\n",
      "1    2019-02-28 18:53:21.7890\n",
      "2    2019-02-28 12:13:13.2180\n",
      "3    2019-02-28 17:54:26.0100\n",
      "4    2019-02-28 23:54:18.5490\n",
      "Name: start_time, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(trip_data['start_time'].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are missing data found in columns start and end station_id and station_name, there is also missing data in member_birth_year and member_gender."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert the datatype \n",
    "trip_data['start_time'] = pd.to_datetime(trip_data['start_time'])\n",
    "trip_data['end_time'] = pd.to_datetime(trip_data['start_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "trip_data['start_station_id'] = trip_data['start_station_id'].astype(str)\n",
    "trip_data['end_station_id'] = trip_data['end_station_id'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "trip_data['member_birth_year'] = trip_data['member_birth_year'].fillna(0).astype('Int64')\n",
    "#(taken help to fix the value error:Cannot convert non-finite values (NA or inf) to integer)\n",
    "#https://stackoverflow.com/questions/48511484/data-type-conversion-error-valueerror-cannot-convert-non-finite-values-na-or"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dropping the missing values\n",
    "trip_data.dropna(subset=['start_station_id', 'end_station_id', 'start_station_name', 'end_station_name', 'member_birth_year', 'member_gender'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "duration_sec               0\n",
       "start_time                 0\n",
       "end_time                   0\n",
       "start_station_id           0\n",
       "start_station_name         0\n",
       "start_station_latitude     0\n",
       "start_station_longitude    0\n",
       "end_station_id             0\n",
       "end_station_name           0\n",
       "end_station_latitude       0\n",
       "end_station_longitude      0\n",
       "bike_id                    0\n",
       "user_type                  0\n",
       "member_birth_year          0\n",
       "member_gender              0\n",
       "bike_share_for_all_trip    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 174952 entries, 0 to 183411\n",
      "Data columns (total 16 columns):\n",
      "duration_sec               174952 non-null int64\n",
      "start_time                 174952 non-null datetime64[ns]\n",
      "end_time                   174952 non-null datetime64[ns]\n",
      "start_station_id           174952 non-null object\n",
      "start_station_name         174952 non-null object\n",
      "start_station_latitude     174952 non-null float64\n",
      "start_station_longitude    174952 non-null float64\n",
      "end_station_id             174952 non-null object\n",
      "end_station_name           174952 non-null object\n",
      "end_station_latitude       174952 non-null float64\n",
      "end_station_longitude      174952 non-null float64\n",
      "bike_id                    174952 non-null int64\n",
      "user_type                  174952 non-null object\n",
      "member_birth_year          174952 non-null int64\n",
      "member_gender              174952 non-null object\n",
      "bike_share_for_all_trip    174952 non-null object\n",
      "dtypes: datetime64[ns](2), float64(4), int64(3), object(7)\n",
      "memory usage: 22.7+ MB\n"
     ]
    }
   ],
   "source": [
    "trip_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>start_time</th>\n",
       "      <th>end_time</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>bike_id</th>\n",
       "      <th>user_type</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>bike_share_for_all_trip</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52185</td>\n",
       "      <td>2019-02-28 17:32:10.145</td>\n",
       "      <td>2019-02-28 17:32:10.145</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Montgomery St BART Station (Market St at 2nd St)</td>\n",
       "      <td>37.789625</td>\n",
       "      <td>-122.400811</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Commercial St at Montgomery St</td>\n",
       "      <td>37.794231</td>\n",
       "      <td>-122.402923</td>\n",
       "      <td>4902</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1984</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>61854</td>\n",
       "      <td>2019-02-28 12:13:13.218</td>\n",
       "      <td>2019-02-28 12:13:13.218</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Market St at Dolores St</td>\n",
       "      <td>37.769305</td>\n",
       "      <td>-122.426826</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Powell St BART Station (Market St at 4th St)</td>\n",
       "      <td>37.786375</td>\n",
       "      <td>-122.404904</td>\n",
       "      <td>5905</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1972</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36490</td>\n",
       "      <td>2019-02-28 17:54:26.010</td>\n",
       "      <td>2019-02-28 17:54:26.010</td>\n",
       "      <td>375.0</td>\n",
       "      <td>Grove St at Masonic Ave</td>\n",
       "      <td>37.774836</td>\n",
       "      <td>-122.446546</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Central Ave at Fell St</td>\n",
       "      <td>37.773311</td>\n",
       "      <td>-122.444293</td>\n",
       "      <td>6638</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1989</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1585</td>\n",
       "      <td>2019-02-28 23:54:18.549</td>\n",
       "      <td>2019-02-28 23:54:18.549</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Frank H Ogawa Plaza</td>\n",
       "      <td>37.804562</td>\n",
       "      <td>-122.271738</td>\n",
       "      <td>222.0</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.248780</td>\n",
       "      <td>4898</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1974</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1793</td>\n",
       "      <td>2019-02-28 23:49:58.632</td>\n",
       "      <td>2019-02-28 23:49:58.632</td>\n",
       "      <td>93.0</td>\n",
       "      <td>4th St at Mission Bay Blvd S</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>323.0</td>\n",
       "      <td>Broadway at Kearny</td>\n",
       "      <td>37.798014</td>\n",
       "      <td>-122.405950</td>\n",
       "      <td>5200</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1959</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration_sec              start_time                end_time  \\\n",
       "0         52185 2019-02-28 17:32:10.145 2019-02-28 17:32:10.145   \n",
       "2         61854 2019-02-28 12:13:13.218 2019-02-28 12:13:13.218   \n",
       "3         36490 2019-02-28 17:54:26.010 2019-02-28 17:54:26.010   \n",
       "4          1585 2019-02-28 23:54:18.549 2019-02-28 23:54:18.549   \n",
       "5          1793 2019-02-28 23:49:58.632 2019-02-28 23:49:58.632   \n",
       "\n",
       "  start_station_id                                start_station_name  \\\n",
       "0             21.0  Montgomery St BART Station (Market St at 2nd St)   \n",
       "2             86.0                           Market St at Dolores St   \n",
       "3            375.0                           Grove St at Masonic Ave   \n",
       "4              7.0                               Frank H Ogawa Plaza   \n",
       "5             93.0                      4th St at Mission Bay Blvd S   \n",
       "\n",
       "   start_station_latitude  start_station_longitude end_station_id  \\\n",
       "0               37.789625              -122.400811           13.0   \n",
       "2               37.769305              -122.426826            3.0   \n",
       "3               37.774836              -122.446546           70.0   \n",
       "4               37.804562              -122.271738          222.0   \n",
       "5               37.770407              -122.391198          323.0   \n",
       "\n",
       "                               end_station_name  end_station_latitude  \\\n",
       "0                Commercial St at Montgomery St             37.794231   \n",
       "2  Powell St BART Station (Market St at 4th St)             37.786375   \n",
       "3                        Central Ave at Fell St             37.773311   \n",
       "4                         10th Ave at E 15th St             37.792714   \n",
       "5                            Broadway at Kearny             37.798014   \n",
       "\n",
       "   end_station_longitude  bike_id   user_type  member_birth_year  \\\n",
       "0            -122.402923     4902    Customer               1984   \n",
       "2            -122.404904     5905    Customer               1972   \n",
       "3            -122.444293     6638  Subscriber               1989   \n",
       "4            -122.248780     4898  Subscriber               1974   \n",
       "5            -122.405950     5200  Subscriber               1959   \n",
       "\n",
       "  member_gender bike_share_for_all_trip  \n",
       "0          Male                      No  \n",
       "2          Male                      No  \n",
       "3         Other                      No  \n",
       "4          Male                     Yes  \n",
       "5          Male                      No  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the main features of interest in your dataset?\n",
    "* To provide insights into the average trip length, identify outliers and help understand the usage patterns of the bike-sharing system.\n",
    "* Use start_time and end_time for analyzing patterns based on time of day, day of the week, or month of the year, and understand the peak usage periods.\n",
    "* Identify frequently used routes, users, age distribution, and gender breakdown."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What features in the dataset do you think will help support your investigation into your features of interest?\n",
    "We can explore various aspects of the bike-sharing system, such as trip duration, station popularity, and user behavior.\n",
    "Investing in these combinations and relationships will support our investigation and provide insights and characteristics of the FordGoBike system."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Univariate Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section, we analyze and visualize individual variables in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy original dataframe to df\n",
    "df=trip_data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Market St at 10th St                                         3649\n",
       "San Francisco Caltrain Station 2  (Townsend St at 4th St)    3408\n",
       "Berry St at 4th St                                           2952\n",
       "Montgomery St BART Station (Market St at 2nd St)             2711\n",
       "Powell St BART Station (Market St at 4th St)                 2620\n",
       "San Francisco Caltrain (Townsend St at 4th St)               2577\n",
       "San Francisco Ferry Building (Harry Bridges Plaza)           2541\n",
       "Howard St at Beale St                                        2216\n",
       "Steuart St at Market St                                      2191\n",
       "Powell St BART Station (Market St at 5th St)                 2144\n",
       "Name: start_station_name, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#most popular start stations\n",
    "start_station = df['start_station_name'].value_counts()\n",
    "start_station.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b6f6668>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "start_station = df['start_station_name'].value_counts().head(10)\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.barplot(x=start_station.index, y=start_station.values, color='blue')\n",
    "plt.xlabel('Start Station')\n",
    "plt.ylabel('Count')\n",
    "plt.title(\"Most popular start stations\")\n",
    "plt.xticks(rotation=80)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most popular start_staion is Market St at 10th St."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "San Francisco Caltrain Station 2  (Townsend St at 4th St)    4624\n",
       "Market St at 10th St                                         3709\n",
       "Montgomery St BART Station (Market St at 2nd St)             3461\n",
       "San Francisco Ferry Building (Harry Bridges Plaza)           3151\n",
       "San Francisco Caltrain (Townsend St at 4th St)               2870\n",
       "Powell St BART Station (Market St at 4th St)                 2854\n",
       "Berry St at 4th St                                           2782\n",
       "The Embarcadero at Sansome St                                2341\n",
       "Steuart St at Market St                                      2264\n",
       "Powell St BART Station (Market St at 5th St)                 2153\n",
       "Name: end_station_name, dtype: int64"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Popular end stations\n",
    "end_station = df['end_station_name'].value_counts()\n",
    "end_station.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079a990710>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "end_station = df['end_station_name'].value_counts().head(10)\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.barplot(x=end_station.index, y=end_station.values, color='blue')\n",
    "plt.xlabel('End Station')\n",
    "plt.ylabel('Count')\n",
    "plt.title(\"Most popular End Stations\")\n",
    "plt.xticks(rotation=80)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Most Popular End Station is San Francisco Caltrain Station 2  (Townsend St at 4th St)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1984\n",
       "2    1972\n",
       "3    1989\n",
       "4    1974\n",
       "5    1959\n",
       "Name: member_birth_year, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['member_birth_year'].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079ad79ef0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "age = (2023 - df['member_birth_year']).value_counts().sort_index()\n",
    "plt.bar(age.index, age.values, color='blue')\n",
    "plt.title('Distribution of User Age')\n",
    "plt.xlabel('Age (years)')\n",
    "plt.xlim([20, 80])\n",
    "plt.ylabel('Count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We observe that there is a high number of trips for individuals in their late 20's to late 30's has the higher values on the graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Male      130500\n",
       "Female     40805\n",
       "Other       3647\n",
       "Name: member_gender, dtype: int64"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's check the gender breakdown\n",
    "gender_counts = df['member_gender'].value_counts()\n",
    "gender_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b396f98>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.barplot(x=gender_counts.index, y=gender_counts.values, color='blue')\n",
    "plt.title(\"Gender Breakdown\")\n",
    "plt.xlabel('Member Gender')\n",
    "plt.ylabel('Gender Counts')\n",
    "plt.xticks(rotation=80)\n",
    "plt.show();\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that males have higher trip count compared to females and others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    52185\n",
       "2    61854\n",
       "3    36490\n",
       "4     1585\n",
       "5     1793\n",
       "Name: trip_duration, dtype: int64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#trip duration\n",
    "df['trip_duration'] = df['duration_sec'] \n",
    "df['trip_duration'].head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    174952.000000\n",
       "mean        704.002744\n",
       "std        1642.204905\n",
       "min          61.000000\n",
       "25%         323.000000\n",
       "50%         510.000000\n",
       "75%         789.000000\n",
       "max       84548.000000\n",
       "Name: trip_duration, dtype: float64"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['trip_duration'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b2dbd68>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "binsize= 500\n",
    "bins = np.arange(0, df['trip_duration'].max() + binsize + 1, binsize)\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "plt.hist(data=df, x='trip_duration', bins=bins, alpha=0.9)\n",
    "plt.title('Trip Duration')\n",
    "plt.xlabel('Duration(secs)')\n",
    "plt.ylabel('Number of Trips')\n",
    "plt.xlim([-300, 10000])\n",
    "plt.ylim([0, 90000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trip duration distribution is biased to the right, showing a higher frequency of shorter excursions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Subscriber    158386\n",
       "Customer       16566\n",
       "Name: user_type, dtype: int64"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#type of user\n",
    "user = df['user_type'].value_counts()\n",
    "user"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b6b5f98>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.barplot(x=user.index, y=user.values)\n",
    "plt.xlabel('User Type')\n",
    "plt.ylabel('Count')\n",
    "plt.title('User Distributions')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Subscribers have high frequency of trips compared to Customers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Friday       27663\n",
       "Monday       25641\n",
       "Saturday     14414\n",
       "Sunday       14512\n",
       "Thursday     33712\n",
       "Tuesday      30584\n",
       "Wednesday    28426\n",
       "Name: day_ofweek, dtype: int64"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Number of trips per day of week\n",
    "\n",
    "df['day_ofweek'] = df['start_time'].dt.day_name()\n",
    "trips = df['day_ofweek'].value_counts().sort_index()\n",
    "\n",
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
    "trips\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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urapb+iqLgC367S2ASwH68l8DdxktX2KbpZVPV48DkpyV5KzFixevjKcmSZKktdxYg3RV3VpV2wHzaS3I959utf47S1m2vOXT1eOoqtq+qrafN2/esisuSZIkLcMqmbWjqq4FTgN2BDZKMnUhmPnAZf32ImBLgL58Q+Dq0fIltllauSRJkjR245y1Y16SjfrtDYAnAucBXwf26qvtD3yh3z6p36cv/1pVVS/fp8/qsQDYBvgucCawTZ8FZD3agMSTxvV8JEmSpFHjvET45sBxfXaN2wAnVNUXk/wEOD7JW4AfAEf39Y8GPpZkIa0leh+Aqjo3yQnAT4BbgJdW1a0ASQ4ETgHWAY6pqnPH+HwkSZKkPxpbkK6qc4CHTFN+Ia2/9JLlvwP2Xsq+jgCOmKb8ZODkFa6sJEmStJy8sqEkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQB1p10BSRNxoIFF0+6CnPGRRdtPekqSJJWQ7ZIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDeGVDSdIazat4zo5X8JSWny3SkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gDrTroCq6MFCy6edBXmjIsu2nrSVZAkSZoIW6QlSZKkAQzSkiRJ0gAGaUmSJGmAsQXpJFsm+XqS85Kcm+SgXv7GJL9Icnb/2X1km0OTLExyfpJdRsp37WULkxwyUr4gyRlJLkjyqSTrjev5SJIkSaPG2SJ9C/DKqro/sCPw0iTb9mVHVtV2/edkgL5sH+ABwK7AB5Ksk2Qd4P3AbsC2wL4j+3l739c2wDXA88f4fCRJkqQ/GluQrqrLq+r7/fZ1wHnAFjNssgdwfFXdVFUXAQuBHfrPwqq6sKpuBo4H9kgS4PHAiX3744A9x/NsJEmSpD+3SvpIJ9kaeAhwRi86MMk5SY5JsnEv2wK4dGSzRb1saeV3Aa6tqluWKJckSZLGbuxBOskdgc8Ar6iq3wAfBO4FbAdcDrxratVpNq8B5dPV4YAkZyU5a/Hixcv5DCRJkqS/NNYgneS2tBD9iar6LEBVXVFVt1bVH4AP07puQGtR3nJk8/nAZTOUXwVslGTdJcr/QlUdVVXbV9X28+bNWzlPTpIkSWu1cc7aEeBo4LyqevdI+eYjqz0N+HG/fRKwT5L1kywAtgG+C5wJbNNn6FiPNiDxpKoq4OvAXn37/YEvjOv5SJIkSaPGeYnwRwLPBn6U5Oxe9hrarBvb0bphXAy8CKCqzk1yAvAT2owfL62qWwGSHAicAqwDHFNV5/b9HQwcn+QtwA9owV2SJEkau7EF6ar6JtP3Yz55hm2OAI6Ypvzk6barqgv5U9cQSZIkaZXxyoaSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaYBlBukkeye5U7/9uiSfTfLQ8VdNkiRJWn3NpkX69VV1XZKdgF2A44APjrdakiRJ0uptNkH61v77ycAHq+oLwHrjq5IkSZK0+ptNkP5Fkn8HngGcnGT9WW4nSZIkrbFmE4ifAZwC7FpV1wKbAK8ea60kSZKk1dwyg3RV3QhcDOyW5GXA5lX1lWVtl2TLJF9Pcl6Sc5Mc1Ms3SXJqkgv67417eZK8N8nCJOeMDmhMsn9f/4Ik+4+UPyzJj/o2702S5T8EkiRJ0vKbzawdb6ANMLwLsCnwkSSvm8W+bwFeWVX3B3YEXppkW+AQ4KtVtQ3w1X4fYDdgm/5zAH1AY5JNgMOARwA7AIdNhe++zgEj2+06i3pJkiRJK2w2XTv2BR5eVYdV1WG0ULzfsjaqqsur6vv99nXAecAWwB60YE7/vWe/vQfw0Wq+A2yUZHPaTCGnVtXVVXUNcCqwa19256r6dlUV8NGRfUmSJEljNZsgfTFwu5H76wM/W54HSbI18BDgDOCuVXU5tLANbNZX2wK4dGSzRb1spvJF05RP9/gHJDkryVmLFy9enqpLkiRJ05pNkL4JODfJsUk+AvwYuL73SX7vsjZOckfgM8Arquo3M606TVkNKP/Lwqqjqmr7qtp+3rx5y6qyJEmStEzrzmKdz/WfKafNdudJbksL0Z+oqs/24iuSbF5Vl/fuGVf28kXAliObzwcu6+WPXaL8tF4+f5r1JUmSpLFbZpCuquOWtc50+gwaRwPnVdW7RxadBOwP/HP//YWR8gOTHE8bWPjrHrZPAd46MsBwZ+DQqro6yXVJdqR1GXkO8L4hdZUkSZKW11KDdJITquoZSX7ENF0mquqvlrHvRwLPBn6U5Oxe9hpagD4hyfOBnwN792UnA7sDC4Ebgef1x7k6yeHAmX29N1fV1f32S4BjgQ2AL/cfSZIkaexmapE+qP9+ypAdV9U3mb4fM8ATplm/gJcuZV/HAMdMU34W8MAh9ZMkSZJWxFKDdO9WsQ5wdFU9cRXWSZIkSVrtzThrR1XdCtyYZMNVVB9JkiRpTpjNrB2/o/VzPhW4Yaqwql4+tlpJkiRJq7nZBOkv9Z9R087XLEmSJK0tZhOkN6qq94wWJDloaStLkiRJa4PZXNlw/2nKnruS6yFJkiTNKTPNI70v8ExgQZKTRhbdCfjVuCsmSZIkrc5m6trxLeByYFPgXSPl1wHnjLNSkiRJ0upupnmkLwEuAf561VVHkiRJmhtm00dakiRJ0hIM0pIkSdIASw3SSb7af7991VVHkiRJmhtmGmy4eZLHAE9NcjyQ0YVV9f2x1kySJElajc0UpN8AHALMB969xLICHj+uSkmSJEmru5lm7TgRODHJ66vq8FVYJ0mSJGm1t8xLhFfV4UmeCjy6F51WVV8cb7UkSZKk1dsyZ+1I8jbgIOAn/eegXiZJkiSttZbZIg08Gdiuqv4AkOQ44AfAoeOsmCRJkrQ6m+080huN3N5wHBWRJEmS5pLZtEi/DfhBkq/TpsB7NLZGS5IkaS03m8GGn0xyGvBwWpA+uKp+Oe6KSZIkSauz2bRIU1WXAyeNuS6SJEnSnDHbPtKSJEmSRhikJUmSpAFmDNJJbpPkx6uqMpIkSdJcMWOQ7nNH/zDJVquoPpIkSdKcMJvBhpsD5yb5LnDDVGFVPXVstZIkSZJWc7MJ0m8aey0kSZKkOWY280ifnuQewDZV9T9Jbg+sM/6qSZIkSauvZc7akeSFwInAv/eiLYDPj7NSkiRJ0upuNtPfvRR4JPAbgKq6ANhsnJWSJEmSVnezCdI3VdXNU3eSrAvU+KokSZIkrf5mE6RPT/IaYIMkTwI+DfzXeKslSZIkrd5mE6QPARYDPwJeBJwMvG6clZIkSZJWd7OZteMPSY4DzqB16Ti/quzaIUmSpLXaMoN0kicDHwJ+BgRYkORFVfXlcVdOkiRJWl3N5oIs7wIeV1ULAZLcC/gSYJCWJEnSWms2faSvnArR3YXAlWOqjyRJkjQnLLVFOsnT+81zk5wMnEDrI703cOYqqJskSZK02pqpa8ffjty+AnhMv70Y2HhsNZIkSZLmgKUG6ap63qqsiCRJkjSXzGbWjgXAy4CtR9evqqeOr1qSJEnS6m02s3Z8HjiadjXDP4y3OpIkSdLcMJsg/buqeu/YayJJkiTNIbMJ0u9JchjwFeCmqcKq+v7YaiVJkiSt5mYTpB8EPBt4PH/q2lH9viRJkrRWmk2Qfhpwz6q6edyVkSRJkuaK2VzZ8IfARuOuiCRJkjSXzKZF+q7AT5OcyZ/3kXb6O0mSJK21ZhOkDxt7LSRJkqQ5ZplBuqpOXxUVkSRJkuaS2VzZ8DraLB0A6wG3BW6oqjuPs2KSJEnS6mw2LdJ3Gr2fZE9gh7HVSJIkSZoDZjNrx5+pqs/jHNKSJElayy0zSCd5+sjPXkn+mT919Zhpu2OSXJnkxyNlb0zyiyRn95/dR5YdmmRhkvOT7DJSvmsvW5jkkJHyBUnOSHJBkk8lWW+5nrkkSZK0AmbTIv23Iz+7ANcBe8xiu2OBXacpP7Kqtus/JwMk2RbYB3hA3+YDSdZJsg7wfmA3YFtg374uwNv7vrYBrgGeP4s6SZIkSSvFbPpIP2/IjqvqG0m2nuXqewDHV9VNwEVJFvKnftgLq+pCgCTHA3skOY/WveSZfZ3jgDcCHxxSV0mSJGl5LTVIJ3nDDNtVVR0+8DEPTPIc4CzglVV1DbAF8J2RdRb1MoBLlyh/BHAX4NqqumWa9SVJkqSxm6lrxw3T/EDrQnHwwMf7IHAvYDvgcuBdvTzTrFsDyqeV5IAkZyU5a/HixctXY0mSJGkaS22RrqqpkEuSOwEHAc8DjudPAXi5VNUVI/v8MPDFfncRsOXIqvOBy/rt6cqvAjZKsm5vlR5df7rHPQo4CmD77bdf5kBJSZIkaVlmHGyYZJMkbwHOoYXuh1bVwVV15ZAHS7L5yN2nAVMzepwE7JNk/SQLgG2A7wJnAtv0GTrWow1IPKmqCvg6sFfffn/gC0PqJEmSJA0xUx/pdwBPp7XkPqiqrl+eHSf5JPBYYNMki4DDgMcm2Y7WDeNi4EUAVXVukhOAnwC3AC+tqlv7fg4ETgHWAY6pqnP7QxwMHN+D/g+Ao5enfpIkSdKKmGnWjlcCNwGvA16b/LFbcmiDDWe8RHhV7TtN8VLDblUdARwxTfnJwMnTlF+IV1iUJEnShMzUR3q5r3ooSZIkrS2WOY+0JEmSVm8LFlw86SrMGRddtPVK25dBWpIkrVSGutlZmYFOk2H3DUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA0wtiCd5JgkVyb58UjZJklOTXJB/71xL0+S9yZZmOScJA8d2Wb/vv4FSfYfKX9Ykh/1bd6bJON6LpIkSdKSxtkifSyw6xJlhwBfraptgK/2+wC7Adv0nwOAD0IL3sBhwCOAHYDDpsJ3X+eAke2WfCxJkiRpbMYWpKvqG8DVSxTvARzXbx8H7DlS/tFqvgNslGRzYBfg1Kq6uqquAU4Fdu31ocNLAAAgAElEQVTL7lxV366qAj46si9JkiRp7FZ1H+m7VtXlAP33Zr18C+DSkfUW9bKZyhdNUz6tJAckOSvJWYsXL17hJyFJkiStLoMNp+vfXAPKp1VVR1XV9lW1/bx58wZWUZIkSfqTVR2kr+jdMui/r+zli4AtR9abD1y2jPL505RLkiRJq8SqDtInAVMzb+wPfGGk/Dl99o4dgV/3rh+nADsn2bgPMtwZOKUvuy7Jjn22jueM7EuSJEkau3XHteMknwQeC2yaZBFt9o1/Bk5I8nzg58DeffWTgd2BhcCNwPMAqurqJIcDZ/b13lxVUwMYX0KbGWQD4Mv9R5IkSVolxhakq2rfpSx6wjTrFvDSpeznGOCYacrPAh64InWUJEmShlpdBhtKkiRJc4pBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBJhKkk1yc5EdJzk5yVi/bJMmpSS7ovzfu5Uny3iQLk5yT5KEj+9m/r39Bkv0n8VwkSZK0dppki/Tjqmq7qtq+3z8E+GpVbQN8td8H2A3Ypv8cAHwQWvAGDgMeAewAHDYVviVJkqRxW526duwBHNdvHwfsOVL+0Wq+A2yUZHNgF+DUqrq6qq4BTgV2XdWVliRJ0tppUkG6gK8k+V6SA3rZXavqcoD+e7NevgVw6ci2i3rZ0solSZKksVt3Qo/7yKq6LMlmwKlJfjrDupmmrGYo/8sdtLB+AMBWW221vHWVJEmS/sJEWqSr6rL++0rgc7Q+zlf0Lhv031f21RcBW45sPh+4bIby6R7vqKravqq2nzdv3sp8KpIkSVpLrfIgneQOSe40dRvYGfgxcBIwNfPG/sAX+u2TgOf02Tt2BH7du36cAuycZOM+yHDnXiZJkiSN3SS6dtwV+FySqcf/z6r67yRnAickeT7wc2Dvvv7JwO7AQuBG4HkAVXV1ksOBM/t6b66qq1fd05AkSdLabJUH6aq6EHjwNOW/Ap4wTXkBL13Kvo4BjlnZdZQkSZKWZXWa/k6SJEmaMwzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGMEhLkiRJAxikJUmSpAEM0pIkSdIABmlJkiRpAIO0JEmSNIBBWpIkSRrAIC1JkiQNYJCWJEmSBjBIS5IkSQMYpCVJkqQBDNKSJEnSAAZpSZIkaQCDtCRJkjSAQVqSJEkawCAtSZIkDWCQliRJkgYwSEuSJEkDGKQlSZKkAQzSkiRJ0gAGaUmSJGkAg7QkSZI0gEFakiRJGsAgLUmSJA1gkJYkSZIGmPNBOsmuSc5PsjDJIZOujyRJktYOczpIJ1kHeD+wG7AtsG+SbSdbK0mSJK0N5nSQBnYAFlbVhVV1M3A8sMeE6yRJkqS1wLqTrsAK2gK4dOT+IuARS66U5ADggH73+iTnr4K6rWybAldNuhJLSiZdg7HymE/GanfcPearnsd81fOYr3oe88mY5XG/x2xWmutBerpDUX9RUHUUcNT4qzM+Sc6qqu0nXY+1icd8Mjzuq57HfNXzmK96HvNVb2045nO9a8ciYMuR+/OByyZUF0mSJK1F5nqQPhPYJsmCJOsB+wAnTbhOkiRJWgvM6a4dVXVLkgOBU4B1gGOq6twJV2tc5nTXlDnKYz4ZHvdVz2O+6nnMVz2P+aq3xh/zVP1Fl2JJkiRJyzDXu3ZIkiRJE2GQliRJkgYwSEuSJEkDGKTXQMlaMMX7aiiJf08T5nt//DzGWtv4nh+fNeHY+o9/zXTXSVdgbZPkfsCRSdaZdF3WZlVVSR6d5AmwZnxIr276Md4hyYcmXZc1WZIHJ7nDpOuxNuuf65SzMoxN/zx5TJJXTbouQxmk1yBpNgG+k+RvJl2ftcFIULsjsP4k66I/2go4Ismm/gMcm3OB+yV5/KQrsibq10X4B+Bp/b5fCFexJLcHXpNkt37f12B8rgWemGT+pCsyhEF6DZEk1VwN/Btwz15uC+l4TbUYnUc75gdPsC5rpWn+wR0PfAvYui/3b2AlSbIuQFXdAHwJ2KaX+79k5boF+DnwULBFdEIKuIT+Hvc1GKuLgV/wp8/sOfV5Mqcqqxndb+T2+cA/JLltVd06qQqt6ZLcEzguyV49WLwUuHuSzSdctbXKSHeOtyV5WFXdAlwGHNKX+zewgpLcJsn9gW8neWaSBwH/BfxTkntV1R8mXMU1QpIHJXlUP55HAY9Isvek67U2SbJtkntU1W9pX8pf7BnelS/Jw5J8KcmDgZuAk4F/SXKnufZ5YpCe45Ksk+S2wNFJjk1yAPA/wA+Al0+2dmu8XwGfBA5I8m7gdcDdgQXgqcBVbCFwJ9oXyM8AX6F9qXnYZKs1t029h6vqD1V1HvB2YGPgE8CDgf8PeHRf1/8nK6B/jj+G9uX81cDfAEcCG/blHt8x6905ngl8Jck+wHrAW4Et+nLPbq2A0f+JVfU94IfAs4DPAzfQWqbv09edM+93r2w4R0115Uhy56r6Te9T9wTaB/Fjaf/gbldVz5hkPdckI8f8kcCDgO9W1fd7v/SNgVcBj6edkn1GVV0zwequ0ZZ4Le4EXFZV5/RlbwA2pfUx/ZeqevMEqzpnjRzjJwE7ARcCX6qqq5JsBzy5/6xfVX5hGWDkGN8N+E1V3Zjk3sDjaJ/lj+6rPqmqzp9YRddgI6/BxlOf2f09/2Da/9T7AlcBj62qGydY1Tlt5DjvROvCcV4P0yR5OvD3tPf8/1bVnDoLY5Ceg0bekLvSWp2/SXtTfq4v3432x38Y8IqqOm5ytV2z9GP7buA/gANo/dE/W1W/6MsfRgtw76uqn06somuwJLepqj8keQrwFuDjwC7Af1XVe/s6dwAeTjs9vmdV/WRiFZ7D+jF+E+09vw/wW+A1VbUwybpVdUuSE4EvVtWxE6zqnDPyOb4HcBBwNfBl4DNVdW1f51nAo4BFtJbRmmunvVdnI6/BU4EXAotp3Tm+XlW/T3IX4HnAI4H/qar3T20zwWrPWUn+lvZ58jlgB9pYlvdW1Q1JNqSdffkw8IaqOmNyNV0+c6bpXH820KfSpvd6J+1N+VfAQUn+qS//clX9K+0b3laTqu+aIMm8JPP67S2Bl9Fa4c6mnfZ7FPCMJFvAH09X3YPWoqSVqL8W83uIvhfwj8BTaK1FmwC7J5nqF31DVZ0GnEY/Na5lS3LXHuxIcmdgD2Av2mnXu9EC3Tt7H9Jb+mbnA/MmUd+5aKp7wNS0X8BrgWfQQtyrgecn2aqv83FasJtfVbcaoleOkS5LlTbzzBuBF9M+Rw4HnpXkLlX1K+Bfaa/B5lPbTKTSc1CSuyR5QL99D+AFtM/s82ldIO9JG2exQVX9uqp+Thvfsumk6jyEQXqO6GHuJT1AADyQFpQ3pPUpOg54VJJXjGz2AOAJve+dllPvo/UvtAEQ86rqUuBAWleCf6Yd3xOA1wBPS3LnHj42pQU4rSRJbkdrMXpD/0KziPZabAm8Ang68Glaf/XX9m3uS/s7uWoilZ5jesB7IrBPkqdX1W9oZ7VuR+v/vw/tTMw2wIeS3D7JprT3+5cnVO05JW0g8tuSbN2LNqV9Of9r2gwdh9NC9QuSbNPXuQvtc3yTVVvbNVPaFGuv6K3N0D7HXwRsRwvLn6J91uyV5K79C+PGwJOT3NGxL7PTP7MPBJ7Xw/RltFmt5gOHAnsC3wb+DjgsbbzXVrSGqJ9NptbDGKTnjgfQ+uU+LclmwPtp08W8DHh6VX2E9g9vp5GwfR3wkqr6/SQqPJf103d/qKrn0T5EX9370F1I+7Bd3PvLnQ98l3Yq8Dc9fDyuD8zSSlJVvwO+SGu1ewWwYT/G84GPV9UltFPjnwNO7ZtdBDylqi6YQJXnnD67yQnA/9E+Z3apqsv64rOr6me0L+5fAf6pqm6sqqto3cd+PJlazznXAvcGXpZk86r6DO3s1tOAF1fVJ2gDsLYFbu7bnEt7H189iQqvgdYH9qYFvA2q6n3AT4HnAntV1buBX9PONq7bt7kEeHZVXW+L9Oz0z+xP0aZy3Id2VuWnwGbAf1fVQlqDyP8CH+tnXH5OyzNzqlvkusteRauDqjotbbq1xwDPB46lBYe7A5v1b383Aq/t//Coqv+YUHXnvKkPyyQ70Kbm+QdgQdqsKGcA6yf5AnAvWpA4d6Tv3O8mVe810VSfaFrL3HxaV6ZKciTtb+BtvZXoxcCzquq7Sdapqpv7ci3DyHv3sbQBs3enTft1B+C/gYcl+QitL/pzq+pHU69LtWnCtAy9T/lv02b4eQ/t8+QlVXVFkluA1yZ5L+1092uq6pL+PvZL+UrSX4OfJXk78HrgrmmDk2+kXRPghb3PP8C/To19qSrPuCyHkc/sebSpebcFNkjyH8AFwOf7mfK9gOf1/5/r9DB97eRqPoyDDeeIPsjtENrI+W2Bz9L6bj2L1lf0VuBNVfXZvr4DIlZQ2ly5x9NaL26gnQW4lNaVYwNgN+D8qvrmxCq5lkjyUOBEYF/aaPp70hoCXg3sSutucH5VnTKxSs5xvcvMl2n/3G6hzViwI21A7fm0LzA3V9VZE6vkHDUyQHZX2untj9E+t79L6yN9W1qw2xZ4e1X918Qqu4ZLsjvtTO63gf8H+HdaV70HAm+gfYl8U1WdNLFKrgGSPJD2mf002uQHj6Z9YXkz7azMTrTP7NMnVsmVxCA9B/R+tx8D3lZV30nyZGB32jRr7wDuDGxQVZcboFeetCm+3gTsW21aqjsAZ9GuYvjCPhBFq0CSXYDnVNV+/f5OtAFC5wL/XFWX93Lf/wMlWUDr2vE3fcaC+bSAsQXwnqr6/EQrOAf1Y3pLVV3aB4sfDZxRVR9Im7L0P4EAB/bP77tU1a98H49Hfw0+D3y0qk7o/dA/TDvL+Cba2cS7V9UiX4MVkzYhwiFV9aR+f0fa7D8/pLX2rzHTOdpHeg7o/W4DPKLf/xItzL2I1rrxu6kg4R/+cFODSJL8ddq8rlfRWqK3S3KHalcvfBdttLEDf8Zo5LXYpn+RPBe4X5I9AfpZgIW007EbTW3n+3/2Ro7xjkm2q6qLaP/kDktyx6paBJxOO/YLJ1jVueyxwN2SrN8HrZ0LbJJ29babaS2iTwAO7uv8Cnwfj0OSR9POZH2P9hps0MdPvJZ2DYCXAfT3va/Bchr5PFmvF50BXJdkn/6l5DvAN2hjudaoq80apFdDI2/ILUYGDn6EdqW2Xfr904AzaXOO2id3JaiqSps392jgfv0D9Qzgn2h9555P6+bxQgewjdfIa/E5YEF/Ld5Hm+Lu/02br/sBtJZS+5AO0I/xbrRW0Tv04o8A6wCfS7IfbWDnxx1MOEy1QeA/Bc7oY1xOp81v/rD+BfHOtEutf7KqbppcTddsvWvYm2ld8n5Om8P43n3xFbQuCF8vpxccbOTz5B1JDquq6+njK4C39xbqRwMf6AMN1xh27VhNpU1c/lZa37mjaf/s9qXNT3w9baqel1XVVyZWyTVM2pRU/wXsXVU/7ae2b6ZNxn9f2jE/zoEn45dke9qA2r/vA1E2BO5P+3s4lHZhkE9MjQnQ8kubiu2rwH5V9YO06QK3An5J+5zZFPi27/flN9UtIO0KedfQxlPsTOsv+ijaF/I70MLcP/o5Pj69+8Y/AVdW1dTUmP9Cm31pA9rnysuq6muTq+Xc1wfmf5g2ZewhtPEWR9LGr+wH3BE4fk3s/2+QXg0luR/tYiuvpAW5T9Pmif4I7Z/bw4GLHPSzcvXj/g7gQ7TTrQ+l/aN7RlV9K8l6VXWzfefGr/dPfzbwY9rI771o3Qs+AHwHWK/3W/e1GKD3Mb+MNgPQ7XvxQ4FfAadX1XtGBsh5jAfoZ03eSesnekaS19Eu5rQnLVzfh/Y/+EcTrOYarY9r2YjWGr0VbTaUM/uyB9OmNr3e/6Urpn8JPwQ4p6qO7Mf988CPaO//m5Pcfk39zLZrx2qm9809iDbV1zW93+J+/efVVXVxVX3aP/wVN9KF5p5JNqk2d+W3aTOhfKuqHkubqeOJfZNbwb5z4zDyWmyaduGJq2hh47m0+aBfQjtFvnlV3VJtDm9fiwF6y9FUi9wPaF05Tqa1mJ5MuyACU6e5Pcazk+Q+U13v+gwor6IFizP6+/sI4CTga7TuSj82RI9P2sU9vkQbz3Iwrf//U5I8BKCqflhVp/m/dMWkTWO3Lq3Feack9+vjifagdaH5AMCa/JltkF4NTIUIgKr6JW3k/M9pVxi7Wx/d+lzgqUnuPf1etLxG+nR9BnhVkv+lDSZ8ZlWdmOQRtFD9jb7+GjVAYnXSX4s9gY/Tzrw8pf/euao+DfyedvXCxZOr5dzXZ5E4GPhsVf0f8LmqenlVnUrruvQS/nRBG81SkvvQWuA270W3pZ1BeVSSx1dHmwXlk8yxSyDPUdfQvri8i3YRkCNpF2PZt5/x0grqY7i+QDuTdSjtAit7JLlPD847A0dNsIqrhEF6wkb60u2c5PVJjqBNsTZ1Kd6/S7sC1k+BR65pnfQnKcn9aVMe7U37p7cxcPv+ejwI+CBwcFWdNrlarh16K9GraZdHvhh4Ju3qYn/o3RA+DBzmazFcn/rrZtoVT/dKcv+qujXJbZL8FW1g4eFV9eXRL/eaWZJtaVdwO7Sqju3H7kZaN7GPAc/oM0bQ8/Rb+pcYjUHa5aipqutonxtfoM2Ffnta6+g6tNdHA418PvwaOIfWHfI3tON9V+CZSe5b7eqn3/3/27v3ILvL+o7j7w8BIxG5DkK10BQbLxRIoFhE60ClCAhIjFRxBBkYBWqZKrcZTbUqihRHImhg0iEwmIiCEAYkogFUFDReCk2lFga5KVoJhEvUCJHLp398n1O2Cuqe7J5f9uznNZNJdvfszJNzdn/n+3ue76WjZQ5MAumOtaBtb+qu+V4qj+sa6hjqMipv8c2tpUy6c4ytNVRB219SU/EOsf2wpL3bkesc20sTVAzEFtRJzAFUDcCRrep7Wyql4+22r8xr0Z+Ww/hd6hpyIpVecFzbOXqKGrjyHttXDGMO4zjbEphp+8r28ZepU61fUEHcrcA72nU+xpikKZKm9P4NzJe0GP4vmP4stVGymCounGv79q7WO1FJ+pN2ogUwHcD2KuqG8T+opgj/AyyiTlye6GCZnUgg3QFJ20t69YhP7Uu1mLrQ9hHAjcAVrok/VwPX2v6N05pnTLRcxj2o7ienUDvPr3SNjn01MFfSn9q+B4Yzp6trzxAQ309NKDyZGvN9t6RDqIvz4y29Ka9Fn9rztxxYCpjaoVtNpTS93PZa2yvbY/Mcj4Krp/mBku6SdC3wHdvz2tfuovJ0/5PK+48x1DaYDga2kzSHSls6CNhe0gIA26upU947gc2dNoOj1grxvwrs0eq4rpb0MQBX7/NzqY2pi6gNwffavrOr9Q5aAukBUtmU2hk6X0/3hP45sFnvcbZPAe5VTblaYvu/O1ju0GlH2JtQec+HUz1c30zl3x4j6SiquPAct6b8MT7aScx+kk6WdLSrT/H3qWPC3VTtH08DPt3eCKMPkqZL2hzA9vHUTfo11JveeVRuY3b515GrReA7qQEsHwaQtHH72h1U79z04h5jrqE2U6kNp9OBFa3Q7QBgR0kLJR0LvIMavf7d7lY7Manawl4GnGn74lbHtQ/V0/8UANsPUDcra4Hp7TRx0kj7uw5IOh3YnQrg5lMtYq6i0ju+Qk1fOh84qLcrGv1p+Yu72L54xOd2o3Yxnkc9z9OoIqvV1O7/NTneHh96uqXaXwEXAxdQF+XbbB8v6ThgJnUEe0kvXzevxei0I+6NqdSC66kbkkfa15ZQnTn2oaaiZodujEh6PXA2sKftVZI2sv141+saRiPqi3pjv7cBjgR+bHtNu5E5hUozuM72Fztc7oTVNphm2X63pA2odNMXUimRx1Njv1dRrTT/wfYPO1tsRxJID8jIC2rbiZ5N5dIdTbWieoTqOfog1SD+Q7aXdrTcodAq6S+h3thuoJ7fOe3iOxN4E5Wbe2ZuWMZX2xWdanvliG4oN9q+RNLzqTfC22z/Y3v8tFb1HaPQu85I2tD2E62g9hPURL3zWg3AUcBRVCHt8k4XPITa9X0RNR314a7XM4xGBNFb235A0lSqQPmtwGm2vyHpBcCqXkpkbsj7I2kvajjcqcBbqBv0WcDl1HChW9vnLrd9RVfr7FIC6QFo+UVzgQtsX9/yQy+iuhN8nzoSPA34NhXYbWn7jvzi968VVy0FLrP9PtVkvAuoAojD2kX4NcC/UTc0HwUeyfM99lTN+edSlfILgD2o4G4J8DHbj7Zgehlwr+239HauO1v0BCNpG+CBttt/INUucxn1OzCVqgO4iWofOBt4l6sTUIyD9hqscbrMjBtJBwH/RBW6LW+Fsu+khjddB/wz8FrbN3e4zAlP0jTgGOqacge1MfVfVMHh24H3A79u76mTMmZJID0ArfXR9dQv/ALgKeoX/a3UxMK9gWOp3NxLu1nl8GjpHJ+hdvm/BnzT9rdafvp8qsXdoZJ2oE4DPmD71u5WPPwk7U8NtvmZa/LVflTf0XnAMttrW/76jp4E7ZLGkqSdqJ/z5VR+7sep68t0qqB2ATVS/XDqtOvyHHMPxmQNLMaDpBdSp1p3t02Q+dSp4hlUWscXbH+qBdg7ATc7o9fHjGpo2UMjPt6b2ql+E3DfZP4537DrBUwGtr/ZgullVHuYV1H5oS+iKmG/QBX83N3ZIodEy4s7BziL2o07iRpkQwum3wUsknQT8Hyq5VeC6HEiaYprkM0aKvf/9a1hx6eA51BTPKdKuqoVqCSIHoWWvnQhVWi1PdXi6yO2L27pSwdTN+kX2T5jxPclwBuAPMdjo53qLgFOlfQLYBcqH/ovqHz/84HZLYd3YS8tstcdKK/DuusF0apJhvtS15y5tn/e6cLWA9mRHqC2C3cWdRHYlaos/pbt63o5jZ0ucEiopkHe1/79Umq8+nOAq9wGIaja3D2Y4+3xpxpJvRg4gipw2x64ve1MzwFOAA51a78Wf5z2s/0l4NKWvrQJ8Dngz2zPbI/ZCTiMKqw9laQvxQTTukYsBT5p+/wRn38etWnyQds/lvRlYCXwYdvZlBoHLYj+a+rk62zbV3W8pPVCAukBa7lzn6D6Fq9OVff4GdEhYgYVxE0Bvmr7ax0vbVIY8fwfDuzn6pFOC55PpjpKnEnVBNzf4VInnGdIX7rB9o2SnkvVAkwD3tjyFncGHnWmosYE9AxdI3ahul49CXyAukH8HpW7e5LtH3S22EmgBdNb2b4vJ1slfaQHzPaXqB242yVtkSB6/PSK1Wz/iKqi3xDYX9IWnS5siKlpH05pf/87sJWk1wLYvhz4CfASYLsE0aPzW+lLh1IV8wdL+hvbj1E9cx8BlrU3ulsSRMcEdhewezvRXUgNXTkB2JH6OT+RSu04N0H0+LP9eO/EN0F0yY50R1LVPXhtZ7oXWMc4krQP8DqqNdKdwJ7U0KE7qe4R86jdoxWdLXIC+0PpS63SfiHV2vGmDpcasU5+T9eIP6cGas2jYpmV2SGNLiSQ7lh+8WMYtJ6tL7V9Qwui5wPvoYoKL6T6RM+k2iVtACyYrD1Hx9KzpC9d0/ropoVgDI1n6RpxOjA79RXRpXTt6FiC6JjoVJPFjgU2lXQj8LfUlKu1VLeOxbZ/Kuke4FJgU9dgkNxErqOR6UuSFlE96Q+U9ANnGEgMkd/TNSJBdHQqO9IR0bdeMCzpFVTx28nA41ST/k2AN9j+maRDqf7dizpc7tBL+lIMs3SNiPVRAumI6Iuk7aixvAttP9i6cXyICqj3pAatnCdpV+CzwIm2l3W24IiY8NI1ItY3CaQjoi+SPkpVzF9NTSlcRQXWW7WHbAvsTKWQ/avtK7tYZ0RExHhJIB0Ro9IbHiRpClVUuDPwbeBHwIsBUwNYbqNa3P3a9k+yexQREcMmgXRE/NEkbUv1Lr7J9vKWtrEXcC+VG30YcCDwHWD/BM4RETHMMpAlIkZjGjADOE3SEVSf6M2BX9r+IvBe4HpgV2oCWURExNDKjnREjIqkqVSLu/OoEd8bAbOB42zfImlLaux3pulFRMRQy450RIyK7bW2v0L1cp0BPBfYAvgXSdvYfihBdERETAbZkY6IvknaCtiJmmK4H7Cj7Xs6XVRERMSAJJCOiDEhaZbtFV2vIyIiYlASSEfEOpG0QW9Udfs4be4iImJSSCAdEREREdGHFBtGRERERPQhgXRERERERB8SSEdERERE9CGBdEREREREHzbsegERETF+JD0J3EJNoDkgmXwAAAGNSURBVHwC+Axw1shOKxER0Z8E0hERw+1R27MAJL0A+BywGfDBTlcVETEEktoRETFJ2L4fOAY4XmW6pBsk3dz+vApA0mJJh/S+T9JFkt7Q1bojItZX6SMdETHEJP3K9ia/9bmHgZcBvwSesv2YpBnA523vLmkv4ATbsyVtBqwAZth+YuD/gYiI9VhSOyIiJh+1vzcC5kuaBTwJvATA9jckndNSQeYASxJER0T8rgTSERGTiKQdqKD5fipPeiUwk0r1e2zEQxcDbwMOA44e8DIjIiaEBNIREZOEpK2BBcB8225pGz+1/ZSkI4EpIx5+IfA94D7bPxz8aiMi1n8JpCMihtvGklbwdPu7xcC89rVzgSWS/h74OrCm9022V0q6FbhiwOuNiJgwUmwYERG/Q9I0qv/0brZXd72eiIj1UdrfRUTE/yPp74DbgE8niI6IeHbZkY6IiIiI6EN2pCMiIiIi+pBAOiIiIiKiDwmkIyIiIiL6kEA6IiIiIqIPCaQjIiIiIvqQQDoiIiIiog//C0YWGwry9FzwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0798328710>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.barplot(x=trips.index, y=trips.values, order=day_order, color='blue')\n",
    "plt.xlabel('Day')\n",
    "plt.ylabel('Number of trips')\n",
    "plt.title('Number of trips per day of the week')\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thursday, Tuesday, and Friday have the most trips compared to other days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     157606\n",
       "Yes     17346\n",
       "Name: bike_share_for_all_trip, dtype: int64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Distribution of bike share for all trips\n",
    "\n",
    "trip_counts=df['bike_share_for_all_trip'].value_counts()\n",
    "trip_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079833ff28>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "plt.bar(trip_counts.index, trip_counts.values)\n",
    "plt.xlabel('Bike share for all trip')\n",
    "plt.ylabel('number of trips')\n",
    "plt.title('Distribution of bike share for all trips')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This implies that, while the majority of trips did not use the bike-sharing program for all journeys, only a small number of trips did."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Observation 1:\n",
    "1. The most popular start-stations is Market St at 10th St, San Francisco Caltrain Station 2 and  Berry St at 4th St, these stations have significantly higher trip counts compared to others.\n",
    "2. The popular end-station is San Francisco Caltrain Station 2, Market St at 10th St. These align with the popular start-stations.\n",
    "3. The majority of bike users are male with 76% of the total, and female around 24%.\n",
    "4. The dataset consists of subscribers of 90% who use the bike-sharing service more frequently, and 10% of the users may be occasional or on-time users.\n",
    "5. The data indicates that Thrusday has the highest number of trips, followed by Tuesday and Friday.Saturday and Sunday have relatively lower trip counts."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Discuss the distribution(s) of your variable(s) of interest. Were there any unusual points? Did you need to perform any transformations?\n",
    "\n",
    "> We have added a new column called 'trip_duration', to the dataframe 'df' by assigning the values from the 'duration_sec' column to it. This was done to have a separate column for trip duration, which is used for plotting.\n",
    "\n",
    "### Of the features you investigated, were there any unusual distributions? Did you perform any operations on the data to tidy, adjust, or change the form of the data? If so, why did you do this?\n",
    "> We have changed the datatypes for 'start_time', 'end_time' to pd.to_datetime() function. The datatype for 'start_station_id', 'end_station_id', are converted to string datatype astype() method.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bivariate Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Bivariate exploration "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f07982f8470>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_data(df, x_col, y_col, title, xlabel, ylabel, figure_size=(11.69, 8.27), axis_range=None, xlim=None, jitter_amount=0.1, alpha=0.3):\n",
    "    plt.figure(figsize=figure_size)\n",
    "    \n",
    "    # Add jitter to the x and y values\n",
    "    x_jitter = df[x_col] + np.random.normal(0, jitter_amount, len(df))\n",
    "    y_jitter = df[y_col] + np.random.normal(0, jitter_amount, len(df))\n",
    "    \n",
    "    plt.scatter(x_jitter, y_jitter, alpha=alpha, s=4)\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xlabel)\n",
    "    plt.ylabel(ylabel)\n",
    "    if axis_range:\n",
    "        plt.axis(axis_range)\n",
    "    if xlim:\n",
    "        plt.xlim(xlim)\n",
    "    plt.show()\n",
    "    \n",
    "df['age'] = 2019 - df['member_birth_year']\n",
    "\n",
    "plot_data(df, \n",
    "           'age', \n",
    "           'trip_duration',\n",
    "            'Trip Duration by age',\n",
    "             'Age',\n",
    "            'Duration (seconds)',\n",
    "            axis_range=[-10, 150, 500, 200000],\n",
    "            xlim=[0, 100],\n",
    "            jitter_amount=0.1,\n",
    "            alpha=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The scatter plot shows that users aged between 20 and 60 has the wider range of trip durations and other having shorter durations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.0060411748752546577"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation = df['trip_duration'].corr(df['member_birth_year'])\n",
    "correlation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The correlation coefficient between the 'trip_duration', and 'member_birth_year', is -0.00604117 indicating a weak negative correlation suggesting that there is no linear relationship between the two."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079832c240>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Bike users by day\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.countplot(data=df, x='day_ofweek', hue='user_type', order=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'])\n",
    "plt.title('Bike users per day')\n",
    "plt.xlabel('Day')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The number of Subscribers is higher than the number of customers;  customers show a trend beginning on Thursday, rising on weekends, and dropping significantly on weekdays. This implies that customer types include infrequent riders. where subscribers are greater on Thursday, Tuesday, and Friday, suggesting that subscribers tend to use the bike service more frequently for their regular commutes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079bfd4f60>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#user_type based on duration\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.boxplot(data=df, x='user_type', y='trip_duration')\n",
    "plt.title('Trip duration based on User Type')\n",
    "plt.ylim([-5, 2000])\n",
    "plt.xlabel('User Type')\n",
    "plt.ylabel('Duration')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The duration of trips is higher  for customers compared to Subscriber, indicating customers taking longer trips."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bike_share_for_all_trip  user_type \n",
       "No                       Customer       16566\n",
       "                         Subscriber    141040\n",
       "Yes                      Subscriber     17346\n",
       "dtype: int64"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y=df.groupby(['bike_share_for_all_trip', 'user_type']).size()\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079bb809b0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#compare user types for bike share for all trip\n",
    "#trip_counts=df['bike_share_for_all_trip'].value_counts()\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.countplot(data=df, x='bike_share_for_all_trip', hue='user_type')\n",
    "plt.xlabel('bike share for all trips')\n",
    "plt.ylabel('trip counts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Customers who did not participate in the bike_share_for_all_trip made 16566 journeys, whereas subscribers who did not participate made 141040 trips. Subscribers who participated in the program made 17346 trips."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "The boxplot analysis reveals that the trip duration of customers is longer than the Subscribers. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079be87278>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Dependency of gender and trip duration\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.boxplot(data=df, x='member_gender', y='trip_duration')\n",
    "plt.title('Gender vs Trip Duration')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Duration')\n",
    "plt.ylim([-5, 2000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that male riders are very high than Other and Female but we can also see that percentage of Female and Other riders have longer trips than males."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multivariate Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b6c4dd8>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Trip duration using User Type and Day of Week\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.violinplot(x=\"day_ofweek\", y=\"trip_duration\", hue=\"user_type\",  data=df)\n",
    "plt.xlabel(\"Day of Week\")\n",
    "plt.ylabel(\"Trip Duration\")\n",
    "plt.title(\"Trip Duration by User Type and Day of Week\")\n",
    "plt.ylim([-25, 7000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that the Subscriber user type has more trips with duration less than 1000s, where as in Customers we see that  Saturday and Sundays the density is longer, indicating that more trips with longer durations on these days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079b6b88d0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Trip Duration and Age by gender.\n",
    "\n",
    "df['age'] = 2023 - df['member_birth_year']\n",
    "\n",
    "g=sns.FacetGrid(data=df, col='member_gender', col_wrap=2, size=6, xlim=[10, 100], ylim=[-500, 9000], despine=True,\n",
    "                       sharex=False, sharey=False) # https://seaborn.pydata.org/generated/seaborn.despine.html\n",
    "g.map(plt.scatter, 'age', 'trip_duration', alpha=0.3, s=4)\n",
    "g.set_xlabels('Age')\n",
    "g.set_ylabels('Duration')\n",
    "g.set_titles('Trip Duration and Age by Gender ({col_name})')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot suggests a possible gender difference in journey patterns and usage behaviors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f079a8a5860>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Trip Duration and User Type by gender.\n",
    "\n",
    "plt.figure(figsize=[ 11.69, 8.27])\n",
    "sns.boxplot(x=\"trip_duration\", y=\"user_type\", data=df, hue=\"member_gender\")\n",
    "plt.xlabel('Duration')\n",
    "plt.ylabel('User')\n",
    "plt.title('Trip Duration and User Type by Gender')\n",
    "plt.legend(title='Gender')\n",
    "plt.xlim([-10, 4000])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This analysis indicates the differences in trip duration between user types and genders, with Subscribers having shorter trips than Customers, with some variability identified within gender groupings."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Talk about some of the relationships you observed in this part of the investigation. Were there features that strengthened each other in terms of looking at your feature(s) of interest?\n",
    "\n",
    "> The box plot showed that the trip duration for Customers tended to be higher than for Subscribers, this suggests that customers take longer trips compared to Subscribers.\n",
    "\n",
    "> The scatter plot between trip duration and age showed a negative correlation, which means that as the age increased the trip duration slightly decreased. Correlation is not very strong.\n",
    "\n",
    "### Were there any interesting or surprising interactions between features?\n",
    "\n",
    "> The countplot of bike users per day showed that the distributions of Subscribers and Customers varied across different days of the week. Subscribers were more prevalent on weekdays,and Customer had higher counts on weekends. \n",
    "\n",
    ">There were differences based on gender when analyzing the relationship between trip duration, age, and gender in box plot analyses where there was no clear correlation between trip duration and age. The box plot revealed that the upper quartile of trip time was somewhat greater for females than males, showing a gender-related interaction with trip duration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Export cleaned Dataframe to CSV file for Slide deck.\n",
    "df.to_csv('data_cleaned.csv', index=False)\n",
    "df_clean = pd.read_csv('data_cleaned.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>duration_sec</th>\n",
       "      <th>start_time</th>\n",
       "      <th>end_time</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>bike_id</th>\n",
       "      <th>user_type</th>\n",
       "      <th>member_birth_year</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>bike_share_for_all_trip</th>\n",
       "      <th>trip_duration</th>\n",
       "      <th>day_ofweek</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>52185</td>\n",
       "      <td>2019-02-28 17:32:10.145</td>\n",
       "      <td>2019-02-28 17:32:10.145</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Montgomery St BART Station (Market St at 2nd St)</td>\n",
       "      <td>37.789625</td>\n",
       "      <td>-122.400811</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Commercial St at Montgomery St</td>\n",
       "      <td>37.794231</td>\n",
       "      <td>-122.402923</td>\n",
       "      <td>4902</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1984</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>52185</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>61854</td>\n",
       "      <td>2019-02-28 12:13:13.218</td>\n",
       "      <td>2019-02-28 12:13:13.218</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Market St at Dolores St</td>\n",
       "      <td>37.769305</td>\n",
       "      <td>-122.426826</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Powell St BART Station (Market St at 4th St)</td>\n",
       "      <td>37.786375</td>\n",
       "      <td>-122.404904</td>\n",
       "      <td>5905</td>\n",
       "      <td>Customer</td>\n",
       "      <td>1972</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>61854</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>36490</td>\n",
       "      <td>2019-02-28 17:54:26.010</td>\n",
       "      <td>2019-02-28 17:54:26.010</td>\n",
       "      <td>375.0</td>\n",
       "      <td>Grove St at Masonic Ave</td>\n",
       "      <td>37.774836</td>\n",
       "      <td>-122.446546</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Central Ave at Fell St</td>\n",
       "      <td>37.773311</td>\n",
       "      <td>-122.444293</td>\n",
       "      <td>6638</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1989</td>\n",
       "      <td>Other</td>\n",
       "      <td>No</td>\n",
       "      <td>36490</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1585</td>\n",
       "      <td>2019-02-28 23:54:18.549</td>\n",
       "      <td>2019-02-28 23:54:18.549</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Frank H Ogawa Plaza</td>\n",
       "      <td>37.804562</td>\n",
       "      <td>-122.271738</td>\n",
       "      <td>222.0</td>\n",
       "      <td>10th Ave at E 15th St</td>\n",
       "      <td>37.792714</td>\n",
       "      <td>-122.248780</td>\n",
       "      <td>4898</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1974</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1585</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1793</td>\n",
       "      <td>2019-02-28 23:49:58.632</td>\n",
       "      <td>2019-02-28 23:49:58.632</td>\n",
       "      <td>93.0</td>\n",
       "      <td>4th St at Mission Bay Blvd S</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>323.0</td>\n",
       "      <td>Broadway at Kearny</td>\n",
       "      <td>37.798014</td>\n",
       "      <td>-122.405950</td>\n",
       "      <td>5200</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>1959</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>1793</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   duration_sec               start_time                 end_time  \\\n",
       "0         52185  2019-02-28 17:32:10.145  2019-02-28 17:32:10.145   \n",
       "1         61854  2019-02-28 12:13:13.218  2019-02-28 12:13:13.218   \n",
       "2         36490  2019-02-28 17:54:26.010  2019-02-28 17:54:26.010   \n",
       "3          1585  2019-02-28 23:54:18.549  2019-02-28 23:54:18.549   \n",
       "4          1793  2019-02-28 23:49:58.632  2019-02-28 23:49:58.632   \n",
       "\n",
       "   start_station_id                                start_station_name  \\\n",
       "0              21.0  Montgomery St BART Station (Market St at 2nd St)   \n",
       "1              86.0                           Market St at Dolores St   \n",
       "2             375.0                           Grove St at Masonic Ave   \n",
       "3               7.0                               Frank H Ogawa Plaza   \n",
       "4              93.0                      4th St at Mission Bay Blvd S   \n",
       "\n",
       "   start_station_latitude  start_station_longitude  end_station_id  \\\n",
       "0               37.789625              -122.400811            13.0   \n",
       "1               37.769305              -122.426826             3.0   \n",
       "2               37.774836              -122.446546            70.0   \n",
       "3               37.804562              -122.271738           222.0   \n",
       "4               37.770407              -122.391198           323.0   \n",
       "\n",
       "                               end_station_name  end_station_latitude  \\\n",
       "0                Commercial St at Montgomery St             37.794231   \n",
       "1  Powell St BART Station (Market St at 4th St)             37.786375   \n",
       "2                        Central Ave at Fell St             37.773311   \n",
       "3                         10th Ave at E 15th St             37.792714   \n",
       "4                            Broadway at Kearny             37.798014   \n",
       "\n",
       "   end_station_longitude  bike_id   user_type  member_birth_year  \\\n",
       "0            -122.402923     4902    Customer               1984   \n",
       "1            -122.404904     5905    Customer               1972   \n",
       "2            -122.444293     6638  Subscriber               1989   \n",
       "3            -122.248780     4898  Subscriber               1974   \n",
       "4            -122.405950     5200  Subscriber               1959   \n",
       "\n",
       "  member_gender bike_share_for_all_trip  trip_duration day_ofweek  age  \n",
       "0          Male                      No          52185   Thursday   39  \n",
       "1          Male                      No          61854   Thursday   51  \n",
       "2         Other                      No          36490   Thursday   34  \n",
       "3          Male                     Yes           1585   Thursday   49  \n",
       "4          Male                      No           1793   Thursday   64  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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