Part_I_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part I - Ford GoBike System Data Exploration\n",
    "## by Caio Priszculnik\n",
    "\n",
    "## Introduction\n",
    "\n",
    "The dataset explored in this analysis is from the Ford GoBike System. It includes data about individual rides in a bike sharing system from the greater San Francisco Bay area in California, USA. The data is in a csv flatfile.\n",
    "\n",
    "## Preliminary Wrangling\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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 matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Load in your dataset and describe its properties through the questions below. Try and motivate your exploration goals through this section.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the file into a dataframe\n",
    "bike_df = pd.read_csv('201902-fordgobike-tripdata.csv')\n",
    "bike_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(183412, 16)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Explore the structure of the dataset\n",
    "bike_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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",
      " #   Column                   Non-Null Count   Dtype  \n",
      "---  ------                   --------------   -----  \n",
      " 0   duration_sec             183412 non-null  int64  \n",
      " 1   start_time               183412 non-null  object \n",
      " 2   end_time                 183412 non-null  object \n",
      " 3   start_station_id         183215 non-null  float64\n",
      " 4   start_station_name       183215 non-null  object \n",
      " 5   start_station_latitude   183412 non-null  float64\n",
      " 6   start_station_longitude  183412 non-null  float64\n",
      " 7   end_station_id           183215 non-null  float64\n",
      " 8   end_station_name         183215 non-null  object \n",
      " 9   end_station_latitude     183412 non-null  float64\n",
      " 10  end_station_longitude    183412 non-null  float64\n",
      " 11  bike_id                  183412 non-null  int64  \n",
      " 12  user_type                183412 non-null  object \n",
      " 13  member_birth_year        175147 non-null  float64\n",
      " 14  member_gender            175147 non-null  object \n",
      " 15  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": [
    "# Check columns data types and info\n",
    "bike_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A few of the columns are not the of the expected data type:\n",
    "* start_time and end_time should be datatime type\n",
    "* start_station_id, end_station_id and bike_id should be strings\n",
    "* member_birth_year should be int and drop null values from this column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert start_time and end_time to datetime\n",
    "datetime_col = ['start_time', 'end_time']\n",
    "\n",
    "for col in datetime_col:\n",
    "    bike_df[col] = pd.to_datetime(bike_df[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert id columns to string\n",
    "id_col = ['start_station_id', 'end_station_id', 'bike_id']\n",
    "\n",
    "for col in id_col:\n",
    "    bike_df[col] = bike_df[col].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop cases when the member_birth_year is null\n",
    "bike_df = bike_df.dropna(subset=['member_birth_year'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert member_birth_year to int\n",
    "bike_df['member_birth_year'] = bike_df['member_birth_year'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 175147 entries, 0 to 183411\n",
      "Data columns (total 16 columns):\n",
      " #   Column                   Non-Null Count   Dtype         \n",
      "---  ------                   --------------   -----         \n",
      " 0   duration_sec             175147 non-null  int64         \n",
      " 1   start_time               175147 non-null  datetime64[ns]\n",
      " 2   end_time                 175147 non-null  datetime64[ns]\n",
      " 3   start_station_id         175147 non-null  object        \n",
      " 4   start_station_name       174952 non-null  object        \n",
      " 5   start_station_latitude   175147 non-null  float64       \n",
      " 6   start_station_longitude  175147 non-null  float64       \n",
      " 7   end_station_id           175147 non-null  object        \n",
      " 8   end_station_name         174952 non-null  object        \n",
      " 9   end_station_latitude     175147 non-null  float64       \n",
      " 10  end_station_longitude    175147 non-null  float64       \n",
      " 11  bike_id                  175147 non-null  object        \n",
      " 12  user_type                175147 non-null  object        \n",
      " 13  member_birth_year        175147 non-null  int64         \n",
      " 14  member_gender            175147 non-null  object        \n",
      " 15  bike_share_for_all_trip  175147 non-null  object        \n",
      "dtypes: datetime64[ns](2), float64(4), int64(2), object(8)\n",
      "memory usage: 22.7+ MB\n"
     ]
    }
   ],
   "source": [
    "# Check if columns are of the expected data type\n",
    "bike_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>2019-03-01 08:01:55.975</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>2019-03-01 05:24:08.146</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>2019-03-01 04:02:36.842</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>2019-03-01 00:20:44.074</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>2019-03-01 00:19:51.760</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 2019-03-01 08:01:55.975   \n",
       "2         61854 2019-02-28 12:13:13.218 2019-03-01 05:24:08.146   \n",
       "3         36490 2019-02-28 17:54:26.010 2019-03-01 04:02:36.842   \n",
       "4          1585 2019-02-28 23:54:18.549 2019-03-01 00:20:44.074   \n",
       "5          1793 2019-02-28 23:49:58.632 2019-03-01 00:19:51.760   \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 member_gender  \\\n",
       "0            -122.402923    4902    Customer               1984          Male   \n",
       "2            -122.404904    5905    Customer               1972          Male   \n",
       "3            -122.444293    6638  Subscriber               1989         Other   \n",
       "4            -122.248780    4898  Subscriber               1974          Male   \n",
       "5            -122.405950    5200  Subscriber               1959          Male   \n",
       "\n",
       "  bike_share_for_all_trip  \n",
       "0                      No  \n",
       "2                      No  \n",
       "3                      No  \n",
       "4                     Yes  \n",
       "5                      No  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bike_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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         195\n",
       "start_station_latitude       0\n",
       "start_station_longitude      0\n",
       "end_station_id               0\n",
       "end_station_name           195\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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check null values\n",
    "bike_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>2019-03-01 08:01:55.975</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>2019-03-01 05:24:08.146</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>2019-03-01 04:02:36.842</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>2019-03-01 00:20:44.074</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>2019-03-01 00:19:51.760</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 2019-03-01 08:01:55.975   \n",
       "2         61854 2019-02-28 12:13:13.218 2019-03-01 05:24:08.146   \n",
       "3         36490 2019-02-28 17:54:26.010 2019-03-01 04:02:36.842   \n",
       "4          1585 2019-02-28 23:54:18.549 2019-03-01 00:20:44.074   \n",
       "5          1793 2019-02-28 23:49:58.632 2019-03-01 00:19:51.760   \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 member_gender  \\\n",
       "0            -122.402923    4902    Customer               1984          Male   \n",
       "2            -122.404904    5905    Customer               1972          Male   \n",
       "3            -122.444293    6638  Subscriber               1989         Other   \n",
       "4            -122.248780    4898  Subscriber               1974          Male   \n",
       "5            -122.405950    5200  Subscriber               1959          Male   \n",
       "\n",
       "  bike_share_for_all_trip  \n",
       "0                      No  \n",
       "2                      No  \n",
       "3                      No  \n",
       "4                     Yes  \n",
       "5                      No  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bike_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check duplicated values\n",
    "sum(bike_df.duplicated())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>member_birth_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>175147.000000</td>\n",
       "      <td>175147.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>704.211845</td>\n",
       "      <td>1984.806437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1641.608363</td>\n",
       "      <td>10.116689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>61.000000</td>\n",
       "      <td>1878.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>323.000000</td>\n",
       "      <td>1980.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>510.000000</td>\n",
       "      <td>1987.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>789.000000</td>\n",
       "      <td>1992.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>84548.000000</td>\n",
       "      <td>2001.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        duration_sec  member_birth_year\n",
       "count  175147.000000      175147.000000\n",
       "mean      704.211845        1984.806437\n",
       "std      1641.608363          10.116689\n",
       "min        61.000000        1878.000000\n",
       "25%       323.000000        1980.000000\n",
       "50%       510.000000        1987.000000\n",
       "75%       789.000000        1992.000000\n",
       "max     84548.000000        2001.000000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check descriptive statistics for numeric values\n",
    "bike_df[['duration_sec', 'member_birth_year']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-02-01 00:00:20.636000 2019-02-28 23:59:18.548000\n"
     ]
    }
   ],
   "source": [
    "# Explore the range of dates in the dataset\n",
    "print(bike_df.start_time.min(), bike_df.start_time.max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the structure of your dataset?\n",
    "\n",
    "There are 183,412 rides in the dataset with 16 features(duration in seconds, start time, end time, start station id, start station name, start station latitude, start station longitude, end station id, end station name, end station latitude, end station longitude, bike id, user type, member birth year, member gender and bike share for all trip).\n",
    "After removing rows where the member's birth year and member's gender were Null, there are 175,147 trips in the dataset.\n",
    "All rides were recorded between the month of February in 2019.\n",
    "\n",
    "### What is/are the main feature(s) of interest in your dataset?\n",
    "\n",
    "The main features of interest in the dataset are the duration of the trips, if regular customers or subscriber customer have a higher number of rides, if there is a specific time of the day or day of the week associated with more trips, if a specific station has a higher number of trips.\n",
    "\n",
    "### What features in the dataset do you think will help support your investigation into your feature(s) of interest?\n",
    "\n",
    "The start time will help me explore if a particular day of the week or time of the day is associated with more or longer rides. The user type will be used to explore if subscribers ride more than regular customers. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Univariate Exploration\n",
    "\n",
    "> In this section, investigate distributions of individual variables. If\n",
    "you see unusual points or outliers, take a deeper look to clean things up\n",
    "and prepare yourself to look at relationships between variables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of the duration of the trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the histogram for duration_sec\n",
    "# Define bin size and edges\n",
    "plt.figure(figsize=[8, 6])\n",
    "bin_edges = np.arange(0, bike_df.duration_sec.max() + 250, 250)\n",
    "plt.hist(data=bike_df, x='duration_sec', bins=bin_edges, edgecolor='black')\n",
    "plt.xlim((0, 3000)) # Zoom only on trips that are up to 3,000 seconds long\n",
    "plt.title('Trip Duration Histogram') # Add title\n",
    "plt.xlabel('Trip Duration (s)') # Add label to x-axis\n",
    "plt.ylabel('Frequency');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the histogram for trip duration we can see that most of the trips have a duration of up to 1,000 seconds and the interval with most trips is the one between 250 and 500 seconds. There is a very small number of trips with duration superior to 2,000 seconds.\n",
    "The distribution of the trip duration is right-skewed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### At which hours of the day are there more trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create start hour column\n",
    "bike_df['start_hour'] = bike_df.start_time.dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define color pallete for seaborn\n",
    "base_color = sns.color_palette()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of trips per hour of the day\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.countplot(data=bike_df, x='start_hour', color=base_color)\n",
    "plt.title('Number of Trips per Hour of the Day');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that this distribution is bimodal, with two peaks around the morning (8-10) and afternoon (16-18) rush hours. One hypothesis for this behavior is that these trips are probably from commutes to and back from work. Furthermore, we can also see that there is a very small number of trips during dawn (0-5)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which days of the week have more trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create day of week column\n",
    "bike_df['start_day_of_week'] = bike_df.start_time.dt.day_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of trips per day of the week\n",
    "plt.figure(figsize=[8, 6])\n",
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] # Define the day of week order\n",
    "sns.countplot(data = bike_df, x='start_day_of_week', color=base_color, order=day_order)\n",
    "plt.title('Number of Trip per Day of the Week');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that Thursday is the day of the week with the highest number of trips. Furthermore, there are usually more trips during weekdays than on weekends."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Are there more trips from subscribers or regular customers in the dataset?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of user_type\n",
    "plt.figure(figsize=[8, 6])\n",
    "# Sort the data on number of user per user type\n",
    "user_order = bike_df.user_type.value_counts().index\n",
    "sns.countplot(data=bike_df, x='user_type', color=base_color, order=user_order)\n",
    "plt.title('Number of trips per User Type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are more trips by subscribers in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which station has the highest number of trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of the top 20 start station name on the number of trips\n",
    "plt.figure(figsize=[8, 6])\n",
    "station_order = bike_df.start_station_name.value_counts()[:20].index # Order and select only top 20 stations\n",
    "sns.countplot(data=bike_df, y='start_station_name', color=base_color, order=station_order)\n",
    "plt.title('Top 20 Stations by Number of Trips');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this visualization we can see that there are only 7 different stations that have more than 2,500 trips in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the distribution of age in the number of trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create age column\n",
    "bike_df['member_age'] = 2019 - bike_df.member_birth_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of trips per member's age\n",
    "plt.figure(figsize=[8, 16])\n",
    "sns.countplot(data = bike_df, y='member_age', color=base_color)\n",
    "plt.title('Number of Trip per Member Age');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of the trips were by members who are young adults (24-35 years old).There is a very limited number of trips from members who are 60 years old or older. There are a few odd trips by members that are older than 109 years old."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Are there more trips from men or from women?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of gender\n",
    "plt.figure(figsize=[8, 6])\n",
    "# Sort the data on number of trips per gender\n",
    "gender_order = bike_df.member_gender.value_counts().index\n",
    "sns.countplot(data=bike_df, x='member_gender', color=base_color, order=gender_order)\n",
    "plt.title('Number of trips per Member Gender');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 3x more trips by males than females."
   ]
  },
  {
   "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",
    "The duration variable has a long range of values, with trips ranging between 61 seconds and 85,444 seconds. In order to be better able to see this distribution I zoomed in trips that were up to 3,000 seconds long.\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",
    "\n",
    "I created new columns in the dataset for the start hour of the ride and the day of the week of the ride. I created these new features to explore what is the distribution of trips in the different days of the week and different periods of the day. I also created a new column with the member's age, this is a more straightforward information than the member's birth year to explore the age distribution of users of the bike sharing program."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bivariate Exploration\n",
    "\n",
    "> In this section, investigate relationships between pairs of variables in your\n",
    "data. Make sure the variables that you cover here have been introduced in some\n",
    "fashion in the previous section (univariate exploration)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the distribution of trip duration by age?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a scatter plot of trip duration and member's age\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.regplot(data=bike_df, x='member_age', y='duration_sec', fit_reg=False, scatter_kws={'alpha':0.1}, x_jitter=0.2)\n",
    "plt.title('Trip duration by age');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most of the longer trips (more than 20,000 seconds long) were by members who are younge than 60 years old."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Do men or women have longer trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot boxplot for trip duration and gender\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.boxplot(data=bike_df, x='member_gender', y='duration_sec');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot violinplot for trip duration and gender\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.violinplot(data=bike_df, x='member_gender', y='duration_sec');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As there are a lot of outliers in the trip duration, the boxplot and violinplot are not very conclusive. It will be more interesting to compare the average duration of trips by gender using a barchart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot average duration by gender\n",
    "plt.figure(figsize=[8, 6])\n",
    "gender_order = ['Other', 'Female', 'Male']\n",
    "sns.barplot(data=bike_df, x='member_gender', y='duration_sec', color=base_color, order=gender_order)\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.title('Average Trip Duration by Gender');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On average the trips by female are longer than the trips by males."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which day of the week has the longest trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot boxplot for trip duration and day of week\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.boxplot(data=bike_df, x='start_day_of_week', y='duration_sec');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot violinplot for trip duration and day of week\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.violinplot(data=bike_df, x='start_day_of_week', y='duration_sec');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As there are a lot of outliers in the trip duration, the boxplot and violinplot are not very conclusive. It will be more interesting to compare the average duration of trips by day of the week using a barchart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot average duration by day of week\n",
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] # Define the day of week order\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_day_of_week', y='duration_sec', color=base_color, order=day_order)\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.title('Average Trip Duration by Day of Week');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Trips during the weekend have a higher average duration than trips during the week."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What time of the day has the longest trips?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot average duration by hour\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_hour', y='duration_sec', color=base_color)\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Start Hour')\n",
    "plt.title('Average Trip Duration by Start Hour');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trips that started between 2 and 3 are the ones with the longest average duration. This wasn't the expected result, I would expect that trips during dawn would be the shortest."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Do subscribers or regular members ride more on each day of the week?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of trips per day of the week for each user type\n",
    "plt.figure(figsize=[8,6])\n",
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] # Define the day of week order\n",
    "sns.countplot(data=bike_df, x='start_day_of_week', hue='user_type', order=day_order);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "percentage_trips = bike_df.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Subscribers have more trips during weekdays than on weekends. The number of trips by suscribers is specially high on Thursdays. Customers also have more trips on Thursdays, but the number of trips by customers on weekends doesn't seem to be so low compared to the number of trips during weekdays."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Which day of the month has the longest average trip duration?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create start_day column\n",
    "bike_df['start_day'] = bike_df['start_time'].dt.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7hV+8vC3OJVIqMTTgK6XS2qPv7Q26/bH39mKMiVNplEocDfhKqbS291BX0O0HO/vo6huMU2mUShwN+EqptDahrCDo9rKCHAp14J7KABrwlVJp7fKlk4Nu//iSWrKyJE6lUSpxNOArpdLaCdPHcMMp0/xum1Ndyi3nzo5vgZRKEA34Sqm09+2L53Hhggk+j+VkCU984WTKi3ITVCql4ksDvlIq7YmId/69wxgoK9BgrzKHBnylVEZYX9/qc3/QGA519iWoNErFnwZ8pVTaa2rvpbGt54jHNze2JaA0SiWGBnylVNpbv2+odp+XM/S1t6WxPRHFUSohNOArpdLeBldzfmn+0JphGvBVJtGAr5RKe+tcAb/YFfA3a8BXGUQDvlIq7a2vt/rqayoKyXYl2flgfzsej+bRV5lBA75SKq21dPZRf7gbgAU1ZT7buvoGqWvpTkSxlIo7DfhKqbTmHrC3YFL5Edt1pH7s9Q14eGLFXhpbrYurpvZeVu1pSXCpMo8GfKVUWnP33y+oPTLgf7Bf+/FjqbtvkOt+t5z/8+Rauvs9AHT0DnDZXW9x/5s7E1y6zKIBXymV1jbUD9Xg/dfwNeDH0i9e2co7Ow753fadv2zUC6440oCvlEprTpP+hLICqkrzvY87Y/d0al7seDyGR9/dG3C7AR55d0/8CpThNOArpdJWa3c/uw92AUcO2HMS8Oxo7qR3YDDuZcsE7b0DHAyRvtj5/6jY04CvlEpbG9wD9mp8m/Pzsq2vv0GPYfuBzriWK1MU52VTlJcd9DlVJflBt6vo0YCvlEpb7gVzhvff+6TY3a8j9WMhJzuLZYsnBX3Ox5fUxqk0SgO+UiptrXcN2FtY67+GDzpwL5ZuPX82U8YU+d129YlTOH5aZZxLlLk04Cul0pZTwx9Xks/4Ut+m49ycLEQH7sXc+NICnvriKZwwLLAvmVrJ9y5dgIgE2FNFmwZ8pVRaau/pZ0ez1Te/sKbsiMCSJeKteWrAj62xJfnMG9al0tzRq8E+zjTgKxWBjt4BuvoGAGuwl0peG/e55t/XHDn/HmBOdSkADa09tHb1x6VcmWp/W4/P/d0HuzjQ3hPg2SoWNOArFQZjDP/70lZOvONF9rf1ArDnUBe3P7OBvgFPgkun/FkfRsCfO6HUe3uLJoCJqYbWI4P7yl2aXjeeNOArFYZfvLyNH7/wAZ19vvO1739rF9/687oElUoF4zNCP1ANf8LQ3PwtmlM/pobX8AHe04AfVxrwlQqhvaefX722PeD2J1bUsUeThyQdJ+CPKc5jUnmB3+fMcdXwdaR+7Ax6DAfae733nZ77Fbv9p9xVsaEBX6kQVuxqOaJm72aA1z44EL8CqZC6+gbY3tQBwPxJRw7Yc0wbW+Sdj6853WOnuaPXZ8xLfq71nm/Y10Zn70CiipVxNOArFcJAGIPz+gd1AF8y2dTQhvNvWxigOR+sxDCzxpcAVg3fGP0/xkLjsP77ghwr+96gx7B67+EElCgzacBXKoRjp1SQmx18+tCJM8bEqTQqHOvqQvffO5xm/faeAb8Dy9ToDX9fnRo+wHu7tFk/XjTgKxXCuJJ8rjx+csDtZ82pYr6fZVdV4rhH6Aer4cOwkfrajx8TwwfsFeRke1crXKED9+JGA75SYfjyOUeRnXVkLf+sOVX87KpjE1AiFYwzYK+8MJfaysKgz51drQP3Yq1xWMDPyhKOnmjNkHh/TwsDgzq1NR4SFvBF5Ksisl5ENojILfZjY0TkBRHZav+udD3/NhHZJiJbROSCRJVbZabH3qvzm2jnd9cfT3lhbgJKpALp6R9k6wFrwN4CPxn2hpurU/NibngfPsDx06xusK6+QTY16IVWPCQk4IvIAuCzwAnAIuAiEZkFfAN4yRgzC3jJvo+IzAOuAuYDHwbuEpHgay4qFSXdfYPc/9YuAIqGLffpnmqkksOmhjbvxdnwFfL8qS7L9160aQ0/NvwF/KWu3Prajx8fiarhHw28Y4zpMsYMAK8BlwHLgAfs5zwAXGrfXgY8aozpNcbsBLZhXSwoFXOPr9jLoc4+AK46forPsqp7W3T+fbxde+9yzr7zVa69d7nf7e7++/kh+u8BRMQ7cG97Uwf92rwcdU4ffo6rW2zp1KGBrjofPz4SFfDXA2eIyFgRKQI+AkwGqo0xDQD27/H282uAva796+zHlIqpgUEPv3l9B2B9WX3m9Onkur606jTgx11dSzc7mzupa+n2u329a4R+qAF7DmfgXv+gYae94I6KDmOMd5S+exzMhPIC7/iK93a16JTIOEhIwDfGbAJ+ALwAPAesAYJlX/DXCef37BCRm0VkhYisaGpqGnVZVWb727oGb2BZtriGSRWF5LjWUa875D/oqMRZv88K+CX5OUwNsA77cJpxL3baegbo7rcSV+UMG/jq9OM3tfey55BePMdawgbtGWPuNcYcZ4w5AzgEbAX2i8hEAPu3k76sDqsFwFEL7AvwuvcYY5YaY5ZWVVXF7g9Qac8Yw69e2+G9//kzZwC+X1rapJ9cegcGvRnz5k8qI8vPzAp/fKfm6cC9aHL33w+f6eLbj6/T82ItkaP0x9u/pwAfAx4BngGut59yPfC0ffsZ4CoRyReR6cAs4N34llhlmtc+aGJTg/Xlf97R45llT9/K9mnS1xp+MvmgscOb9TBUwh0399Q8nYsfXe4pee7WMRiq4QOs0IF7MZeTwGP/UUTGAv3Al4wxLSLyfeBxEbkJ2ANcDmCM2SAijwMbsZr+v2SMCZzcXKkouPvVoQVzPn/mTO9t9zQvDfjJZV196P57p9/YPT+/tCCXmopC6g936zK5UbY/SA3/qKoSygtzae3u15H6cZCwgG+MOd3PYweBcwM8/w7gjliXSymAVXtaWL7T+gJaOrWSpdP8p87dd7ibQY/xm5RHxZ/Tfw/WHHx/HrrpRL+Pz51QSv3hbvYe6qajd4CS/ETWh9KHO63u8D78rCxh6dRKXtp8gO1NnRzs6GVsSX68i5gxNNOeUn64l8P9wlkzAz5vwGOOyCKmEmeDXcMvystm+riSiPZ1D9zTlfOix/358Hdh7L6YXrlb+/FjSQO+UsNsb+rg+Y37AZhdXcLZc8YHfX6dji5OCv2DHjbZ/e/zJpZF3OoyR3Pqx4Q7j/7wGj7A8a6Beys04MeUBnylhrnntR04U4I/d8bMkCO9tR8/OWzd30HfgJU0J5IBew4N+LHhNOmPK8nzm+Z4YW25N5mV9uPHlgZ8pVwaW3v406o6ACaVF3DJ4kkh99Gpeclhfb27/z7ygD9jXIm3BrpZp+ZFjVPDn1Be4Hd7fk42i2qt/9f6+la6+3Q8dqxowFfK5Xdv7vRO67rp9BnkZof+iGgNPzm4B+yFm2HPLS8ni5lVVr//lsZ2zfwWBT39g9601BPK/Ad8GOrH7x80rKk7HI+iZSQN+ErZWrv7eXj5HsBaVvWq4yeH2MOi6XWTgzMlryA3i5lVxSN6DadZv6WrnyZdGGnUDrQNvYfVQQK+Tz++NuvHjAZ8pWy/f2c3Hb1WhufrT5lGcYhpWU7zr9bwE29g0ONNknT0xLIjEryES1PsRpd7hP7EAE36AEumDI3U14x7saMBXymspsf73twFWDXEG06ZFnKf3Gwr4De09jCgK6wl1PamTnr67QF7YSyJG8hcHbgXVe6AH6yGX16Uyxw72+H7u1u8yxur6NKArxTwx/fraO6wmh+vXDqZMcV5IffJybI+PoMe45NcRMXf+jAy7IVDa/jR1dg61PoVaNCew8mr3947oBdbMaIBX2W8QY/hnn9ai+RkZwmfOX1GWPvlZGuK3WThTqk7P0CGvXDUVBRSanflbNmvI/VHq7F1qA8/WJM+DMurv1v78WNBA77KeM+ub2D3QWvg3UXHTGRymEuq+iyTqwP3EmqDPUI/LzvLZyGcSIkIs+1a/tb9Hdq0PEqNbUMXwtVlBdRWFjJ9XLHPOgYOXTkv9jRZtMpo1hK4/hfJCcV3mVyt4SfKoMewYZ9VG587sTSsqZTBzJlQysrdLfQOeNh9sJMZVZGl6FVDnKVxS/JzKC3IDbiOAVitKxPLC2ho7eG9nYcwxhyRqOfae5dT19JNbWVh0NdS/mkNX2W0N7cdZH29FSzOmlPF0RPDbw72bdLXGn6i7GzupMtO1jKShDvD6cC96NlvT8urLgu9II6IeOfjN7b1UH/4yIvoupZudjZ3ahfaCGnAVxltpLV7gGwR8u2UoPoFlDg+GfZGMULf4e4S0IF7I+fxmJBZ9obznY+vzfrRpgFfZaze/kHe2NYMwOLJFZw43f8SuIGIiLcvUhfQSZxojdB3aA0/Opo7exmwx0BMKDuyz96fpVPd8/F14F60acBXGau1u997+/NnzvS7sEcotZXWAL/Gth7vwi0qvpwR+rnZwuwJo+9vryjK8zZBb9Flckdsv2uE/oTy8Na4nzOh1DtLQmv40acBX2Ucj50jvdPu951RVcyH5lWP6LWcGr7HDA1QUvHj8Rg22gP2ZleXkp+THZXXnTPBGsux62CnLuYyQg3uOfhBku64ZWcJx021mvW37G+ntas/xB4qEhrwVcZYufsQ19673DsFz/H5MJbADcSp4YMO3EuE3Ye6aLfTIUej/97hNOsbA1sPaC1/JPa7suxNKA+vSR98+/FX7tFm/WjSaXkqI7yxtZkb7nvX26fo1tA28gF3k8cMfZHpMrnx5zNgrzZ6AX/OsIF7x9RWeO/r1LDwuNPqhlvDh6GV88Caj3/O3JG1vqkjaQ1fpT1jDN9+Zr3fYA/w85e2+dRGIuFbw9eR+vHmO0J/5Bn2hpsTZOCeTg0LjzvddHWYffgAi2orvOtU6Mp50aUBX6W9Dfva2N7UGXD7oMfw93UNI3ptd8YwDQDxt97OsJedJRHlUAjlqPElZNvdPDpSf2Sci+icLGFccfgBvzAv25tPYc3eVnr6dQxFtGjAV2nPPRo/kMMjHBw0tjiPwlxroNhenZoXV8YYb9KkWeNLKMiNzoA9gILcbKaNtVpvdC7+yDg1/OqygojHyDh59fsGPT6tOGp0NOCrtHfU+BJCfd+4m3Aj4TMXX2v4cTXgMd6LuWhk2Bturj1Sv7mjl4MdvSGerYbb3xpZ0h23pVM1r34saMBXaa+6rIAPL5gQcPvE8gLOO3rkA4OcgL+/vYfeAW1+jBd33oNo9t87gvXjq+Dae/q9014jGbDnWDLVnXFP+/GjRQO+ygjfu3Qh8/0EhcqiXH597RLyckb+UXAG7hkDDYd1Ln689LoC/sIojtB3+AR8TcATEXdOiuoRBPyxJfnMrCoGYMXuFjy6amFUaMBXGWFMcR5/+uIp3i8RsIL9y187y2fK1Ujo1LzEcGr4WUJUB+w53FPztIYfGfeUvIkjaNKHoX781u5+tjd1RKVcmU4DvsoY+TnZ9PQP1QorivKoLM4b9evq1LzEcLpPZlaVUJQX/ZQiU8YUeQdk6sC9yPjU8EcY8IfPx1ejpwFfZYyBQY9PzSNafKfmaQ0/XpxW3lgM2APIyhJmV1u5+T/Y367NyhFwB/yR9OGD78A97cePDg34KmPsb+9lMAZf2pNdNfy9h7SGH2+xCvgw1I/f1TeorTcRiEaT/tSxRYwrsebvv7dbA340aMBXGaM+Rl/YFUW5FOdZTb9aw4+/WIzQdziL6ABsbmyL2XHSjTtz5fiy8JPuuImIN6/+3kPdujhVFGjAVxmj/nBsgrE1F9+q5WstMP7mx7CGP1en5o2Ik3RnbHHeqFYwdPfjr9Ba/qiFHfBF5CQRKXXdLxURXTlCpYxY1fBhqB//QHuvpgKNoxnjiinJj90aYO6peZt1al7YnBr+SKbkublXzluhA/dGLZIa/t2Ae25Ep/2YUimh/nDsAv7kMUP9+LE8joIBz9BMi1jW7gHGleQzrsSayaE1/PD0DXho7ugDRpZlz23exDKK7O6y93Tg3qhFEvDFGOMd8WSM8aDL66oUEsvmdl1EJ37cGfYW1sSu/97h1PJ3NndqJsUwuPvvRxvwc7KzOHZKBQCbGtp0psQoRRLwd4jIV0Qk1/75KrAjVgVTKtqcJv3sCBfyCIdOzYufXp+UurGt4QPMqbYuKgY9hm0HNAFMKD4Bf5RN+gBLp1r9+B4DPXrBNSqRBPzPA6cA9UAdcCJwcywKpVS0GWO8Te05MQn4OjUvXtw1/Fg36YMO3ItUQxTm4Lsd7xq41+tKnKUiF3aTvDHmAHBVDMuiVMw0d/R5a4a52ULvQHRff7JPtj2t4UebMYYnVtZx/5u76LIXZRGB7r5BygtzY3psXUQnMtFs0gdYPKWC7Cxh0GO0hj9KkYzSny0iL4nIevv+MSLyrdgVTanocQ+ky8mK/mzUssIcSu3R4tqHH33f+ctG/u3JtWxsGJoLbwws++UbMb/AmlVdgtiNQrqITmg+WfaiEPBL8nOYZ6+VoDX80Ynkm+83wG1AP4AxZi1a41cpwj0lLyd7dE36tZWFTB9X7NNvLyLUjtG5+LGweu9h7n9rl99t+9t6+eFzW2J6/KK8HKbY/1ut4YfW0Da6lfL8WWpPz9Mhe6MTySj7ImPMuyI+X5ZRbhhVKjbcSXdGW8N/6Cb/6SdqKwvZ1NBGc0cv3X2DFOaNPOGIGvLU+3VBtz+7voHuvmNi+n7PqS5l98EuGlp7vMFf+bffruEX5WVTVhCdiVzHTxvDfW/uisprZbJIvvmaRWQm9kWWiHwCaIhJqZSKsroo1vADcdf4Y5XVLxM5c7oD6R80tPX0x7QM7oF7/YParByMk0d/QlkBwyqII7ao1ndw5sGOXl0ydwQiCfhfAn4NzBWReuAW4AuxKJRS0eZu0o/FtDwYNlJfm/WjZvq44qDbSwtyqCwa/TLHwbhz6rtnCShfHo/xDtqLRv89QFffALc+vsbnsbaeAS746T95Zs2+qBwjU4Qd8I0xO4wx5wFVwFxjzGnGmF0xK5lSUeQM2qsqzScrSrWO4Sa75+If0hp+tFx5/OSgUymvOn4yeTmxXRbEPVK/T2v4AR3q6qN/0Oppj8aUPIAfP/8B7+48MsvegMfwtcdX09CqF9fhimSU/ldFpAzoAn4qIu+LyIdiVzSlosep4ddUFIZ45sjV+kzN0y+haJk8poj//thC/IX846dVcuv5s2Nehmlji7wXFVrDD8w9Qr86CjX83oFBHntvb8Dt/YOGx98LPsZDDYnksvjTxpg24EPAeOBG4PsxKZVSUdTa3U+7PfG+pjKGAX+MpteNlcuXTuZTJ07xeWxcSR5/+MxJFOXFPsN3TnYWs8aXAFrDD8Yd8CdGIeA3d/TRESJpxo5m7csPV0S59O3fHwHuM8ascT2mVNJy99/XxjDglxXkepPAaPKd6Ns3bFGi0oLcmDfluznN+kbnhgXUGOUpeWUFOSHH3Iwpju34jXQSyadlpYg8jxXw/2EvlauXuirpuYNvbQyb9GHogkIH7UWXMYZ19a2AlSkx3gYGPbQPmwlwqLOP1u7Yzg5INY1RTqtbWpDL+UdXB33Ox46tHfVxMkUkAf8m4BvA8caYLiAPq1kfABGZH+WyKRUV7ix7sWzSh6GAf6izj85o5+/NYPtae7zT8+JZqwdr5PlXHl3FCxsP+Dze2t3PFb96W4O+i7uGH40mfYDbPjKXsQFq8defPJWFtbFfTyFdRDJK32OMed8Yc9i+f9DOtud4KNqFUyoa3E36NRWxTZriHrhXf1hr+dGyru6w93Z+TnwTGj2/sZG/r2v0u23L/nbufnV7XMuTzJwpedlZwtiS/Ki85tSxxfz5S6dy5dLJPo//nw/N5vZLtJ4ZiWheKmt/vkpK8azhu6fm7dWpeVGzpq7Vezs/zjX8P75fH3T7n0JkAswkzkp51aX5Uc13MXlMET/4xDFUFg0tlHTM5IqoJfbJFNH85OhQFpWUnIBfXphLSX5sR3Tr1LzYWGcH/CyJf5N+c0fvqLZnEietbjSm5PmTmz30v9+jF9QRi+8nR6kEiMccfIfv1Dz9QooGYwxr7Sb92dWlMUucFMj0scEz/U0LsT1TdPQOeKe/RivpznDutNga8CMXzYAfPOG1UgnQ3TfIwU7r1IzllDyH1vCjb/fBLtp6rEByTAIGaA2f/x/p9kwR7WVx/cl1LXylXWaRiyjgi0iNiJwiImc4P842Y8xJ0S+eUqPjXsQm1v33YK3d7fQz7tUaflSscQ3YW1hbEffjL502hq8FyOb3oXnV3HDKtPgWKEntb4vulDx/srK0hj8aYXdoisgPgCuBjcCg/bAB/hmDcikVFXU+I/RjH/DBquW3dLVqDT9K1rkG7A1fNS1evnzuLE6eOZaH3tnN06utBVtysoS7r1kSs8WYUk08avhuew5qwI9UJDX8S4E5xpiPGGMutn8uGemBReRWEdkgIutF5BERKRCRMSLygohstX9Xup5/m4hsE5EtInLBSI+rMot7hH48mvTdxznc1X9EshYVubV1Qwl33IvYxNvSaWP42VXHemcJDHoMRtPueTXGoYbv1tYzQGuXfr4iEUnA3wHkhnxWGESkBvgKsNQYswDIBq7CSuzzkjFmFvCSfR8RmWdvnw98GLhLROI7GVelpHjOwXdMHqP9+NEy6DGs32cF/KMnlsV9Dr4/ziwBA+xo7kxsYZJIvGv4oM36kYok4HcBq0Xk1yLyc+dnFMfOAQpFJAcoAvYBy4AH7O0PYLUqYD/+qDGm1xizE9gGnDCKY6sMEc85+A53S4IG/NHZ3tRBV5/Vg7iwJjkyqrnzAKyvbw3yzMwS7Tz64dCAH5lIJiU/Y/+MmjGmXkTuBPYA3cDzxpjnRaTaGNNgP6dBRMbbu9QA77heos5+7AgicjNwM8CUKTp6NtM5NfyivGyfpB2x5Bvw9QtpNNb69N9XJK4gLnk+Ab+Njx2XwMIkEaeGX1mUS0FufFpiNOBHJuyAb4x5QETyAGe46hZjzIg6UOy++WXAdOAw8ISIXBNsF39FClDOe4B7AJYuXaodbBmuzjUHP15ZuSbr1LyoWeszQj85avh5ruQvTneDGqrhx6t2DxrwIxXJKP2zsJrZd2EF4Mkicr0xZiSj9M8DdhpjmuzX/hNwCrBfRCbatfuJgLNaRR3gTqRci9UFoFRAfQMe9rdbX0Lxas4ffiydKzw6Tg2/IHdoPfpEc184btzXhsdjfKaLZaL+QY8342C0Fs0Jh36+IhNJH/6PgQ8ZY840xpwBXAD8dITH3QOcJCJFYn16zgU2YXUZXG8/53rgafv2M8BVIpIvItOBWcC7Izy2yhCNrT3etcvjNSUPoCgvx7u6l9bwR65vwMPGhjYA5k8qJyc7+RKDdvQOsFuDDgfae72ftXgM2MuxL7C0hh+ZSPrwc40xW5w7xpgPRGREnaLGmOUi8iTwPjAArMJqhi8BHheRm7AuCi63n79BRB7HygEwAHzJGDPo98WVstXFOemOW21lIQc7+7QPfxQ+2N9O34AHSEyGvXCtr29l+rjMTq/rHqEfjyb93GxhwGOoP9zNwKAnKS8Gk1Ek79IKEblXRM6yf34DrBzpgY0x3zbGzDXGLDDGXGuPwD9ojDnXGDPL/n3I9fw7jDEzjTFzjDHPjvS4KnPUJyDpjqPWnprX1jOg66WPkHvAXlIHfO3H9wn48WjSdwL8oMd4V+hToUUS8L8AbMCaP/9VrNr252NRKKWiIRFJd/wdT2v5I7Ou/rD39sKaioSVI5QN9W2JLkLCxXtKXo6m2B2RSEbp9wI/sX+USnruGr57UZt4GL6IzvxJyVtDTVZr9lo155L8HGYkYZN5brbQP2glBjLGZPTa7D559ONQwx++TO6pMT9ieggZ8EXkcWPMFSKyDj9T4Ywxx8SkZEqNkjNgLi87i6qS/Lgee7Im3xmVnv5BPtjfDsCCmrKkHAWfn5NF/+Agh7v6qT/cHfeLymTiblafWBb71jRdJndkwqnhf9X+fVEsC6JUtDlN+hMrCuIeMNxf/jp1KHIbG9oY8Fj1i2RJuDNcXk429Fpjh9fXt2V0wN9vB/yC3CzKCiMZCz4yOVm+NXwVnpB9+E7mO+CLxpjd7h/gi7EtnlIj4/EYGlqHku7Em6bXHR33CnnJknBnOHeK3Q0ZPnDP6cOfUFYQl66N7CyhvNBehloDftgiGbR3vp/HLoxWQZSKpgPtvfQPWjXERAT8gtxsqkqtbgQdtBe5Na4Me0lbw8/WnPoAxpihgB/HpDtT7JkwWsMPX8iALyJfsPvv54jIWtfPTmBt7IuoVOTqEzgH3+HU8utaunUZ1Qg5NfzKoty4z7AIV1aWeOffr9+XuSP1W7r6vfkS4rEsrsMJ+Ie7+nXqa5jCqeE/DFyMle3uYtfPEmNMsPz3SiVMXQLn4DucPt2OXp2LH4mO3gG2NXUAsLC2IqlHv8+fVAZAU3svB9oycz6403UGMKE8tp+12spCpo8rpraykNoxmsI6UiFHVxhjWoFW4JMA9gp2BUCJiJQYY/bEtojJ6dp7l1PX0k1tZSEP3XRiooujhqlL4JS8oeP69uNXFOUlpBypZkN9qzdN6zFJsiRuIAtqyvnrWmuY0/p9rZwTxxpusvCZklcW29kw7u/aPyzf7b2991AXC5L8XEkGYffhi8jFIrIV2Am8hrWITsZmvKtr6WZnc6cOyEpSiUy64/BdNU9rIOFKlQx7AAtc+RXWZ2gCnsbWXu/tRPThg/bjhyuSQXvfA04CPjDGTMda8ObNmJRKqVFyku5kSXy/hNxqfVbN0wvDcK2tdwf8isQVJAxOkz5k7sC9xjg26btpwI9cJBMm+40xB0UkS0SyjDGviMgPYlayNKbdAbHn1PCrywp8snLFk6bXHZm19gj98aX5CbtYC8b5v9ZWFlJZnEdNRSH1h7vZkKED9xp9mvTj9/+aVFFIloDHaMAPVyQB/7CIlAD/BP4gIgewVq5TEXK6A1RsGGO8NfxEDdgD39kB2vUTntaufnYftL68k7U5f/hF+oKaMuoPd1N/uJtDnX2MKc6ssRqNbVaTfpbAuJL4/e252VlMqiikrqVbB+2FKZKqzzKgC7gVeA7YjjVaX6mk0tLVT3e/lQEtUVPyAPJzsqm2BzHt1Rp+WNa6FsxJ9uZ8h7sfPxMT8DhN+uNLC+K+TK3TrF/X0s2gR6e+hhLWf0dEsoGnjTEeY8yAMeYBY8zPjTEHY1w+pSKWyGVxh3NmCOhc/PCsTYEMe8O5R4dn4sA9Z2nc6gR0vzgBf8CVWVMFFlbAN8YMAl0ikhqfQJXR3P3lic5v7vT3dvUN0tKlc/FDWevKsJfsU/Ic82tcA/cyrIbf1TdAW4/VszsxAVMSJ+vAvYhE0offA6wTkRcAbwe0MeYrUS+VUqPgnpKXyCZ9OHJqXqb170bKybBXU1HI2DivcDhS40sLGF+az4H2XjZk2Ej9xtb4Los7nHuk/t5DXTAz7kVIKZEE/L/ZP0oltWTIsucYPjUvVfqlE6GpvZd9dgBZNDk1aveOBTXlvLz5ALsOdtHW009ZQW6iixQX7hH61Qmo4evUvMiEHfCNMQ/EsiBKRYtPDT/hAV+T74RrnWvA3sKaioDPc0+LSxYLJpXx8uYDAGzc18ZJM8YmuETx4c6yNzHBNfw9musipLADvr1YzhGjjowxM6JaIqVGyRm0N7Y4j8K87ISWZfIYnZoXrjV7h5rDFwUZsJeMuSvm+wzca82YgN/QmtgafkVRLqX5ObT3DmgNPwyRNOkvdd0uAC4HxkS3OEqNnlPDT3T/PcDE8kJEwBidmhfKOlf/9/wUGbDncI/Uz6QEPPsT3IcvIkweU8TGhjadix+GsCdNGmMOun7qjTH/A5wTu6IpFbn2nqGlMhPdnA+Ql5PlzT7m1PCvvXc5Z9/5KtfeuzyRRUsqxhjvCP3p44opL0ytPvBJ5QVUFlllzqS5+O4afjyz7Lk5zfqHOvto79GZMMFE0qR/nOtuFlaNvzTqJVJqFJJh0ZzhaisLaWjtoa6lC2OMZlr0o6G1h+aOPiB5M+wFIyIsqCnn9a3NbDvQQXffYMK7k+LB6cMvL8xN2N87Zax7pH438yal1sViPEWSFunHwJ32z38Bx2E16yuVNJIp6Y7DmZrX0+/hYGdfgkuTnNzz7xemWHO+Y76dcc9jYFNjZjTrO6P0E1W7B52LH4mQNXwR+Vf75l+xBu2Jfd8AFwE/iU3RlIqc7xz8xCbdcfhOzdMvJH/cGfYWTa5IXEFGYYErAc+G+laOm1KZwNLE3sCgh6Z2K49+Ihc5OmIuvgoonCZ9p9l+DnA88DRW0L8YayEdpZJGMtbwfafm6Uh9f6tFOgE/S3yXnE0l8ydlVordpo5enPT1iazh61z88IUM+MaY7wCIyPPAccaYdvv+7cATMS2dUhGqS6Ise45anZrnY/gYBveAvVnjSynKi2TyUPKYOqaIkvwcOnoHMiLFbqKz7DlqKoZmwmjADy6SPvwpgLsDsg+YFtXSKDVKTg2/ND8naUZ6u9Pr6tS8I+0+2OXNx54qC+b4k5UlzLNbJz7Y307vwGCCSxRbyRLw83KymFRuXVRrk35wkQT8h4B3ReR2Efk2sBzIqOx7xhieW9/Ijfe9682a1tE7gEeXZUwaTg06WWr3YH0ZZtkjX7SGf6S19eEl3EkFzlK5/YOGrfs7Elya2HKn1U1kkz4MJbjSZXKDi2Qe/h3AjUALcBi40Rjz3zEqV9IxxvCNP67j879fyStbmugftE6qpvZebnlstZ5kSaCnf5DmDmsQUbJMyQPIzc5iYrnzhaQ1kOHW7j3svb0wxdcacA/cW5/mC+n4BPwE1vBhqB+/b9Djk+5X+Yqkho8x5n1jzM/sn1WxKlQy+tu6Bh5bsdfvtmfW7ONP79fFuURquH1JlEN/OOcCpL6lG2P04tDNqeHnZgtHT0zt1B7ujHvp3o/fmARJdxw6cC88EQX8TPbou/6DveORd/fEqSQqkGRaFnc4Z6R+74CHQQ34XoMe460Jz5lQSn5OaiermTGumIJc62s13UfqOwE/LyeLiqLEjpfRufjhSc3hsAkQ6iTaq32zCec7JS855uA73F0MA4Ma8B07mjro6rMGt6XD0sE52VkcPbGMVXsOs6mhjYFBDznZ6VmvcprOJ5YXICIhnh1bmTIX39+U1kik55kYA9Vl+aParmIv3Bp+bWUh08cVx7Wf310DGdDxHl5rXAl3jknRDHvDOQP3egc8bG9KzxTKxhhvHv1ErJI3XKY06TtTWkc6+Fdr+GH6xJJa3tvVEnD7RQsnxrE0yp9wk+4kYnlV3xq+J+7HT1brXCl106GGD0cO3JszIbXHJfjT2t1P74B1Hie6/x5gTHEexXnZdPYNpnXAHy2t4Yfp48fVctacqoDb39pxUEfqJ5hz1Zufk8W4krwEl8aXNun759Tw83OymFVdkuDSRIdPxr00HbjnXiVvYoJH6MPQMrmQ3k36o6UBP0w52VnceOq0Ix535lf/84Nm/vvvm+JbKOXDadKvqSxMeJ/icBPKCsixT5YBj9bwwWoW3thgDWybP6mM3DTp655dXUputvW/3pCmA/fcU/KSoUkfhpr1mzv66OwdSHBpklN6fMLi5Nl1jd7bzrzTieWFFNnLQv72jZ08/l7w0fwqNgYGPd4voWSbkgfWBePECuuc6dcaPmDNme6zm4XTpTkfrFHrTjP+hn2taZmYa3+S1fBh2MA9zXfhlwb8MPUNeHh2vRXwx5fmU5BjvXV5OVn8z5WLcSqU3/zzOt7deShRxcxYjW093i6VZEq641ZrzxzQQXsWpw8Y4JgUz7A3nDNwr7NvkF0H02/gnrtJvzpZAv5Y18C9gxrw/dGAH6Y3tjXR2t0PwEePmejTZPyh+RP4+ofmAFbt7fO/X6n9SHGWjKvkDZesFyKJ0tefvgF/vk8CnvRr1t+fRGl1HToXPzQN+GH6y5oG7+2LF006YvsXz5rJpYutxw919vGZB1bQof1IcZPMSXcc7i8kNVTDL87LZvq49Biw51jgWuJ3Qxqm2HW6z7IEqkqTY0pypszFHw0N+GHo6R/k+Q1Wc35NRSHHTq444jkiwvc/fgyL7W1b9rdzy6OrdOR+nNQlcdIdh9bwffXZ0xMX1JSTnZVcgyxH6+iJZd6/KR1H6jtZ9saV5CfNYEtnmVzQGn4gyfGfSnKvbjlAp50N7OJFkwKOAC/Izeae65Z4B7G8uOkAP/rHlriVM5P5NOknaWCtrUzOC5FIXXvvcs6+81WuvXd5VF4v3ZrzwfouOKrKarVYX98WtfUTov3ej5RTw0/0ojluBbnZ3u6FZA34if7/acAPg7s5/6JjgifYGV9awG+uW+rNp/2r17brwjpx4DTp52QJ1UnSxDics4Rnqhtttq/h0mmEvtt8OwFPa3d/1N6raL/3I9HTP8jhLms8U7L03zu8c/FbupNydkSi/38a8EPo6B3gpc37AWthjPmuvrlAFtSU85MrFnvvf+OP61i5O3CWPjV6TsCfUF6QtLnLx5cWeOdnqyHpWMOHoZH6YE3PSxc+q+QlUQ0fXMvkDng40N6b4NIkn+T8ZkwiL23aT489mviiIM35w31k4URuPW82YPVVfu6hFT4Dy1T0eDxmKOlOko7QB9jZ3OmzGlxTey/bDrQnsESJV16Y6zPYKp34LJWbRgl43El3kjXgQ/I26yeSBvwQ/rJmn/f2xSGa84f7yrlHebsAmjv6+OwDK+jq05H70dbc2etN4JKs/ffLdxzk4v99w2fmRkfvABf/75u8vf1gAksWfx5Xf/YxteVJlxUxWua5WgPTZeDetfcu58sPr/LeT7YmfQ34wWnAD6K1q5/XPmgCYO6EUmZVR7YIhojwo08s8jZZbmxo43MPreRQZx8ALV191GlGqFFzD9irTcIa/qDH8LUn1tDdP3jEtu7+Qb72+OqMWlCnL40T7riV5OcwY1wxYC2iE62Be4lU19JNU8dQU3myBXydix+cBvwg/rGx0ZsG1d/c+3AU5mVzz7VLGW8PJHt9a7M3gc/hrn7O/OGr/GH57ugUOEPVJfkI/be3Hww6SGdfaw9vZlAt351hb2FNReIKEgdOAp7mjr607FNO5ib9dJqLPzDo4dl1DTTb51BH7wC9A0dWIELRgB+Eb3P+yAI+WB+Kz505w++2QWP41lPreX+PDuobKffYiGSc+ravNfTYjYYMGd/R2t3v0621aHL61vABn0G+6+0EPImemhVNyRbwx5XkUZhrjZNJlxp+c0cvy375Jl/4w/u0212CTe29XPiz1yMeF5axAT/Uh665o5e37FrXotpynzzNI/HqlqaA2wxw/5u7RvX6mSzZ0+qG082QjC0T0dTTP8i3/ryOE+540TsIFmBjmvRtB+I7Ut8auJfoqVnRUlqQQ1FeTqKL4UNEvLX8dAn4X3t8jffccdvR1MkX//B+RF1FGRvwQ33onl3f6M2SN9LmfLeNIfJpp8ugnkRwX+U6K9IlkxNnjGVqkAvG2spCTpk5Lo4lii9jrPUlfv/OHp/mfIDPPriSV7ccSFDJYs9fDT9dJMsqecM5/fhN7b1090Xe7J1Mtjd1eMeR+bNm72FW7T0c9utlbMAPxd2c/9EIR+f7U5wf/Eq4NMR2FZhTwx9fmu8z7S1ZZGcJP7liEcX5R5ZNBH5yxaK0Sy3r9s6OQwFbuDwGfvSPLWkxoM2fyuI8b6uTv1paqnH/n6qTbMCeI52WyQ3nnIlkrQYN+H40tvbw3i5ridsTpo1hYvnom1s/sjD4RUM0LioykTGuOfhJ3Cy+ZOoY/v6V07nu5KnkuoK7MXgHhqar5zc2Bt2+YV8b+1zJXNLNAjvjXv3hbu8MnVQ16Ar4yTZC3zHFldEy1ZfJLfFTSTjiOQXhVxYTEvBFZI6IrHb9tInILSIyRkReEJGt9u9K1z63icg2EdkiIhfEsnx/W9eAc15ftCg6gfgzp08P2L98VFUxnzxhSlSOk2lau/u9c9uTsf/eberYYv7fsgXUDks0c+8bOxNUovhw99kHfk5qN70Gk04Z9wZdF6fJ2qTvHm+V6v34p8wcR0mQ1t+C3CzOmVMd9uslJOAbY7YYYxYbYxYDS4Au4CngG8BLxphZwEv2fURkHnAVMB/4MHCXiMSs7dZpzs8SuHBBdAL+uJJ8nvzCyX5z8X/9gjmUFuRG5TiZJtmn5AWTZ6cAfnnzAbYd6EhwaWLnuCkVQbePK8lL22x7kF4Z9wZc+emrkzXgp9Fc/PaegaDdff96/mzKi8KPHcnQpH8usN0YsxtYBjxgP/4AcKl9exnwqDGm1xizE9gGnBCLwuw91MVqexDEKTPHRXWt54nlhfziU8cxddiX20ub0nfQUqwl+5S8YMoLh67cf/dm+tbyz5k7npwgX1o3njo9aZZYjQVnER1I/ODc0U4JdC/3naw1fPf3QCrPxe8b8PCF36/05m0pyhuq4+ZkCT/8xDHcfMbMiF4zGT5lVwGP2LerjTENAPbv8fbjNcBe1z519mNR95e1rrn3QZrzaysLmT6ueERrnGfZX37Olduz6xvTukkzlpI9y14wxfk53oRMf3q/LuX7d/0xxvDtZzb41Azdrj5xCl84M7IvrVQzvrTA+3+OZIBVLIxmSuCGfa3eeeAAOVnJED6OVJCbTXWZ9X6nag3fGMN//Hk9K+xF144aX8I7t53DZDve1FYWcsXSyRG/bkL/YyKSB1wCPBHqqX4e8/sNIiI3i8gKEVnR1BR4OkMgf7WXws3NFi6YPyHg8x666URe+fpZPHTTiREfw+H0zXT0DvDCxv0jfp1M5q7hp1qTvohw/SnTAKuf++E0zLj4q9d28Ne11meqqiSfOy5dQHmh1QRZU1HIHZct9F4ApzOnWX/Xwa4RL9vq8RhvxaCnfzBuMxuMMXzvrxv56M/f8EmLfNMD7/FXVwUpmbjn4qfiDJAH3trFYyusOm55YS6/vW4pZYV53pVAR7r+RKIv0S4E3jfGONFuv4hMBLB/O23ddYD7cqYW8HumGWPuMcYsNcYsraqqiqgw2w50sLHB6mM7fVYVFUV5Ee0fKfdgjKdW1cf0WOkq2ZPuhPKpE6ZQkGt9DB94e/eI0mUmq1e3HOCH/9gMWBfQv7r2OK4+aSpjiq3PVV5Oor9+4meBaz5+7wjWTVi1p4XzfvoaDfZshobWHs77yWusiWAO9kg9ubKO3/oZWNo/aLjl0dVsb0q+8SfOXPzeAQ9NKZbS+I2tzXz3b5sAqxX4l586jmn2mgyjlehP3CcZas4HeAa43r59PfC06/GrRCRfRKYDs4B3o12Yv4bZnB8teTlZHD3R+iJ47YMmDnak1omZDJwafkVRbshcB8mosjiPTyypBaxEIU4LU6rb2dzJlx9Z5Z3t8t1lC1gydUxiC5VA810D9/oGIgv4u5o7uebe5exo6vR5fHtTJ1f/dnnM+6l/FyQL6IDH8NDbydcylaoD93Y1d/Klh9/3jpX41keP5rRZ0UvKlbCALyJFwPnAn1wPfx84X0S22tu+D2CM2QA8DmwEngO+ZIyJalXIGOMdnZ+fk8V5R4c/1WE0PnasNRRh0GN8kv2owNwDj5zVBlOxdu+48dTp3tv3vrEzJZsg3Tp6B/jsgyto77H6e685aQpXZfi0U/dI/UhbcX77xg46e/3v09E7ENNpnR6PYVND8JkFobKIJkIqBvz2nn4+8+AK7yC9K5dO5ga7yy9aEhbwjTFdxpixxphW12MHjTHnGmNm2b8PubbdYYyZaYyZY4x5Ntrl2dTQznb7CvqcuePjNk3uksWTcLowtVk/PM7Aoz2Humjpsj4cqRzwZ1aVcO5ca3zqxoY23t6RuivneTyGWx9b7Z1mePy0Sv7zovkJLlXiTSovoNKePhVpDf+lTcHH9/wzSOrV0RKBotzgYSKSxC/xkmoBf9Bj+OqjQ5+bpVMr+X+Xzh9xX30giW7STxq+o/NHnzs/XNVlBZx6lNVks6auNSn7w5LVgCsJSKpNyRvuptOGavm/C1FjS+bV1n7+8lbvANSJ5QXcdfWSjOqrD0REvLV8J7NioJYcYwxb97fzi5e3ctH/vk5Da/CuPk8MW4SMgUkhPlv+coskWqoF/Duf38LLm60ha5PKC7j7miUxSROefJdmCWCM8fbfF+dlc/ac8SH2iK7Ljq3h9a3NAPx5VT1f+9CcoM+3mrK7qa0sHNUsgZFK9PEdA56hmlKqjdAf7uSZYzl6YhmbGtp4cdMBdjR1MKOqxO9znRaOZPOPDY38z4tbAatb7NfXLolqHotUtqOpg637230e23e4h3V1rSysLcfjMaypO8w/Nuzn+Q2N7Ijg/zu2JB9jTNRrg70Dg/zr42uCJoVaMrWSi0axdHisVJXmk5+TRe+Ah7pDyb0q4dOr67n71e2AlTnvnuuWxuxzo5feWDXrvfZJcd68agrz4rsAywXzJ3jXcH5qVX3IaTuJXl4z0cd3uGv4qdykD1YN0F3Lvy/Flkveur+df31stff+f39sIcfUViSsPMmkuaOXq+55h8Y235p636CHy3/9Frc8uopTvv8yl931Fr96bbtPsM/NFpZOqwyauGjl7ha++ef1EXcVBNPe08+N973H3+wplQU5WRw7ucK7XYAbTpnGA58+ISlbcFJlmdw1ew/zb0+u9d7/8eWLfcZ7RFvy/acSwD1Y7uIEXK0W5+dwwXxrkGBdSzcr97TEvQzxFK0maXcyl5EkQEo2Fy+a6L2yf2LlXg53pUYintaufj774Ao67aVIbzptOh87rjbBpUoeD769mwMBpob19Hv48+p9NLYNLR5UmJvNRxZO4GdXLWblf5zPk58/hftuPN6bvMdRkp+NU6l/ePkerr13eVSSNx1o7+Gqe97hre3WWJLKolweufkknvrSqd4gOmVsEbdfMj9onvdEc8ra2NaTlInNDrT1cPNDK7xLRn/lnKNivohaxgd8d3N+WUEOp89OzLrkl7m+IP/0fnoP3otWC8GAaz5zqtfwAfJzsrnupKmAFQj+sHxPgksU2qDH8JVHV7HLXpXs1KPGctuFcxNcquTy8ubQSbUqinL5xJJafnPdUlb95/ncdfUSli2uocwePHz6rCre+PdzvEG/ujSfVf/5Ie6/8QRK7UFzy3ce4pJfvMHmxpGPmt/V3Mkn7n7buyxrTUUhT37hFI6dYq1j5mQHzYpy90EsTHb14ye6NRKsAa1OK4zHY7j5oZXst1t9PjSvmlvOmx3zMmR8wO8d8Hjf9A8vmJCw9dRPnTmWcSXWh/lva/elVQKWWHFq+EV52VREsIBEMrv6pKnk202kD769K6rNtLFw5/NbeM0eJV5bWcgvPnmcNxuYsgyEWP64tCCHFd88jzsvX8T586opyPX/HZSXk+XNNVGUn0NudhZnzq7i6S+dygw7MUtdSzcfv+stnt8QfElif9bVtfLxu9/yNoHPnVDKn754CjMDjCVJdu6Be4nOqf/Mmn2c8+NXvXlDdrvWbJk7oZSfXrk4LhknM/6T2eHKDR3P0fnD5WRnsWyxdfy2ngFe2awL6oTiBPyaisKoD1hKlDHFed7m8P1tvfxtXfLkZjDG8N6uQ7TaUyHbuvu9g40Kc7P5zXVLqSyObXbKVHT8tOAJh06ZOXZUF0kzqkp46kuncsZsK7NoZ98gNz+0kl+8vDXsnA6vb23iqnve5qDdJXDC9DE89rmTqU7SNe/DkSwj9Z9cWcdXHhlqBXPLz8niN9ctjVvSsIwP+J12wB9bnMfJM8YmtCyXHTu0HlC6N+tHg5ONKh36791uOm2a93ayJOLZ39bDZXe9xeW/eptD9tiCg67+4jsvX+TNGql83XDqNG+rzXBZAjefMWPUxygvzOV31y/lM66Bn3c+/wFfeXQ13X3BWwufXl3Pp+9/zzsG44L51Tz46RO8ax6kqiljEx/w+wY8/OC5zUG3x3MtiYwP+M64rwsXTkh4U+T8SWXMGm81n72y5UDKDNpKtFSfkjfcUeNLOXuOVVtbX9/G8p2HQuwRW4Mew433vedtghzuhGljYj7YKJXNrCrhnuuWehPvOAT46ZWLo5ZyOCc7i29dNI8ffuIY8uzvsr+s2ccVv36bhlarKbnfHvfiTGm9942dfPXR1d7cAJ86cQp3Xb0kYLdCKplcmfiAv2pPS9Bc/gZ4IYLul9Gs0go6D98rEaPzhxMRLjuuhh8+t4X+QcNf1zZwjT2IK5qSZR59tNRUpHbSHX9uOm0Gr2yx+sbvfWMnJyWw9emfHzR5F5XyZ0tjGz39g2kRJGLlzNlVvH3bufxjQyO3P7OBlq5+powpYtni6K/yfcXSycysKuZzD62kuaOPdfWtfPRnbzChvMA7eG3voW7O/NEr7HY1M9963my+cu5RadM9VpiXTVVpPk3tvQnrw+8KY3ZAOM9xjPb7OmNr+O5m0uqy/JD9bPFyqesLIFapdpNlHn20pFsNH6zR7nMnlALw4qb97Epgop13dgZP9dvaM8AHw5LKqCMV5GazbHGNdxXOWDblLpk6hqf/5TTm2d0sh7r6jrhoc4J9lsAdly3gq+fNSptg70j0MrnzJ5UFzaEAsDiO+SoyLuAbY1i5u8VnvupFx0xKmjW5J1UUctIM6+Jj5e4W9vgZ6KF8pdqUvHCa5USET9v9scbAfW/GboGUUEJ9YcHQdC2VPKwpdSf7DF7zZ9niGq4+MfoticnA+du7+gZ9xpzEy/jSAi5ZHLj1eN7EMk6eGb/Wu4wK+Jsb27jwZ6/z8bvfoq1naHR+sg36+tixQ3PydUGd0JLt/xfKQzedyCtfPytk89yyxZO8UzUfX1HnHR0fb+fMDZ5qelJ5AXMn6IC9ZFSUl+MdmBzIroPhtx6Ntg853iYnwUj97y5b4Pf9Omp8CfdctySurSoZE/APtPdw9W+Ws7nxyKbH//r7JtbXt/rZKzE+vHCCd1TvU6vqkmKUdrLKy86iqiQ987Xn52RzrT2Go7t/kEfeS0winuOmVHKWPYjQn1vOm601/CQWKpdDb3/4uR7CvVhNFsPn4idi4anC3GzvjCLH+NJ8nv3q6XFf9CtjAv7v39kTsEmnf9Bw92vb41yiwMoKcjlvnpVqd9fBroCjoxVMqihImu6YWLjmpCneXOX3v7nLO8o6nkSEu64+7ohaitP3e8Xxk+NeJhW+Y6dWBt8+pSI+BUkAn7n4B7sSMn5p+c5DNLRaqZOdVMTFduKkeMuYgB9qzejXY7im9Eh87NjYD95LVe4Wj3QcsOc2tiTfey40tvXw93UNCSlHTlYWrd1Wl0K23QQ5eUxR2vb9ppPPnj494LbcbOHGU6fFrzBxlgzJd/7s+v5O9NoDGRPwQzWKJ1ur+RmzqxhjZy37y5p9SZ9iNRJO89ZIuyrczWOpNmBvJD7tSqaSqEQ87+06RLs97qU435p+N9J86qnWD5zqTp9VxXcvXUButu//qzgvm19+6jiOGl+aoJLF3vjSfG8LWSICfk//oPcivbosn4LcxIbcjAn4p4YYCXnqUYlZNCeQ3OwsLraTmbR09YdsoUgFq/ce5qp73vZ+8PYc6uJnL271WQQnHAM+AT/95uAPN7u6lDPttKlr61q9q2vF04ubhhaAKcobXS0l1fqB08G1J03lzW+c461EjC3O4+3/ey4fmj8hwSWLrawsYbJ9YZmIufgvbz5Auz1octnimoRPe8yYgH/tyVMpK/D/RZWTJXzuzNGnt4w29wp6qd6sv2pPC1f++m3e2TGUNc5j4KcvfsDXnlgTUa3VvRhJujfpO25y1fKd/sAD7T1s8TMINdqMMby0yVrbobQgJ+G1FDUy40sLvOlyywpzvSvxpTunWb+hrSfurWPu7+1LY5BkKVIZ88mdWF7I7z9zIlPH+tYIswTuuvo47/KPyWRRbbl3FawXNu339qGmov9+dnPAmunTq/exKoKBiU5aUMiMJn2Ajp4j//edvYMs++UbvLMjeGKc0dp2oMPbKnPm7KqE11IymXaHRM4J+Mb4tg7GWktnH69usS6U51SXcvTExHedZEzABzimtoJXvnYWv7/pRMbaTVtTxhQlbbOWiHCpPWCrb8DDc+sTM2DL0drdz89e3Epdi/Xl39jazUubgq/1PegxvLPjIO+GyAf/x5V1YZej31XDz4Qvvu6+QW57ar3fbT39Hr7xx7V4YvhF9oLrf3ze0dUxO44KTbtDIueeix/PWS5/W9fg/a669NjEN+dDBubSz8oSTps1jrLCXA529iXkn+AEqXCC1WXH1vCTFz4ArBX0rjx+SkzLFsihzj4u/9VbbG8aStLR3e/hpgdW8NVzZ3Hr+bPxeAw7mjtZV3+YtXWtrKtrZcO+NrrDyBX98PI9rK1r5ZSZYzlp5lhOmDbmiCUjN+5r46cvfuCzpPEb25q56vjJSfFhipWXNgdv3dl1sIuVe1pilh7aac7PzhLOmlPFz17aGpPjKBUL7pH67u7AWHOPzl8WJNtePGVcwE8GkVydTx5TxPHTKnlvVwvLdx7y1q7j7Uf/2OIT7N1+9tJWXtq0n53Nnd4lNiNlgHX1rayrb+XX/9xBTpZwTG05p8wcx8kzx5KTLdzwu/eOuHi47U/rqG/p5usXzBnRcVPB/rbAq205DoTxnJE42NHL+3taAFgytdKbB16NXCQX/Gr03Mvk9nviU8Pfe6iLFbutz81JM8YwKUm6HjXgp4DLjq3lvV3WyfP06n1xP37vwKDP1ao/6/cduZpaXnYWR08sZWFtOfWHu3lls/+ZBvk5WSyaXMGavYe9/fwDHsP7ew7z/p7D/OKVbQiBp1b+8pVtXL60lqljiyP5s1LGtLGhZyIMH5sSLa9safJOWT1fm/OjQpvj48u9TG68avhPrx76vrzs2MQP1nNowE8BH104kduf2UDfoIenVtXHdaRpS2cff3y/LmSzvADza8pYWFPOwpoKjqktZ3Z1qXcObN+Ah688sornhq39XF6Yy2+vX8rx08bQ0z/Iqj2HeXt7M2/vOMiqPYe9g2yC/cUGeGb1Pr587qxR/KXJ68zZVUwqL2CfPTp/uIU15cyfFJtc9u4xGuceHTynvlLJqDg/h3EleTR39MUl4BtjvKPz83Ky+PCCiTE/Zrg04KeA8qJczpk7nuc2NLLtQAeTygtG9DrGGF7f2kxTuxU4Dnb0sqOpgxlVJT7Pa2rv5fmNjTy7rpG3dxw8Ig+0P9efMpXbL1kQcHteThZ3X3Mcy3ce4rMPrqC9Z4AxxXm88rWzKC+ypgcV5GZz8syx3tWjuvoGWLGrhadX1/PH94O3MLQkaGGZeMjJzuLnnzyW6+97l85e3wuvgtwsfnLFopiMYegdGPTmf5gxrviI80SpVDF5TBHNHX2jbtK/9t7l1LV0U1tZGLClZn19m7f787yjx3unQiYDDfgp4rLjary1444Qq1/5MzDo4dbH1/CXNUNdAm09A5z/k3/y3x9fyBmzqnhufQN/X9/Ie7sORZx58FNhpFgVEU6aMZZxJfm09wxQXpjrDfb+FOXlcMbsKo6pLeeZNft8RucPN6s6vYPR0mlj+MctZ/Dg27u5/81d9NmjjXOzs3xGIUfTOzsOecdkaO1epbIpY4pYtefwqDOqOrn4g0m2ufduGvBTxFlzqigvzKW1u5+O3sgHxt335i6fYO8YNIZ/e3JtwP0WTa7gwgUTOG3mOP7PH9eyqeHIvvpvXDiX2dWxm2NaUZTHssU1PBlg6l55YS4XL0qOUbCxVFtZxP/9yNG8sHG/90unvWeAf2xoZFkMvlhe0ul4Kk1MidFF8XADgx6esb9nK4pyOWtOcl0oa8BPEfk52Vx0zET+sHwPHvsytbW7n0Odfd50mYEYY3jg7Z1hHUcElk6t5MMLJvLhBRN8Ets8+fmT+cPy3dz5jw/oG/RQlJfNb69byilxSEv8HxfNY+uBDtYMS9BTlJfN3dccl/BFKRLp8RV7ox7w3dn1ygtzWRJixTWlklmsWsGGe3P7QZo7rBkzH1040TuGKVlk7rdkChreHHWos49Tvv8S/3PlYp+BIYMew46mDtbva2V9fRtr6w5T1+J/wJejvDCXr39oNhfMn8D4Mv9jBIrzc7j5jJk88u5edjZ3Ul1WEJdg75Tvic+dzLPrG7jtT+vo6hukoiiXf9xyBtUBypvu8nOy6B3w8Oa2g+w91BXVL7VNDe3UH7aWED17ThU5CVjKU6loiVcN3z2bKZlG5zs04KeI59Y38PC7e454vKffw5f+8D63nj+HpvYe1tW3sqmhPaxkN26nzRrHtSdPi1JpYyMvJ4tli2v4nxe3srO5k8qivIwN9mDlte/t6APgiZV1/Ov5s6P22r6j87U5X6W2eAT8zt4BnltvjbOqrSxMylYxDfgp4t43AjfJDxq48/ktAbfnZgvF+TkcDjKSPdkGl6jQivNz6OobpKtvkCdX7OWr584iOys6o/Vf3Gw15+dkCWfOqYrKa6rEy9SkP9VlBeRlZ3kHu8bCCxv3eytalybBynj+aMBPEWv2tob1vLycLI6eWMaCSdac+AU15cyqLuFQZx+X/fItGtuObNo/7+hqzp2bXINLVGhZInx04USeWFnHvtYe3tjW7F1GdzQOtPd4x0qcOGNMxqyqlgkyNelPdpZQW1nIjhAj7EfDZ3T+sck5iFgDfooozMumrzvw1enMqmJ+efVxzKwqIddPf+vE8kL+9MVT+MkLH/DHlXUYrA/BLefO4vNnzSQrSjVDFV9XHj+ZJ+zZC4+/tzcqAf9le7AewLlztTlfpb5Bj6EwL9t7v6Wrj+aOXsaV5Efl9Zvae3l9q5WzYmFNOUeN9z9rKdEtLDoSJ0VcuCD4in43nDKNuRPK/AZ7x6SKQu68fJE3DevkykK+fO6soPuo5LZkaiUzqqyUws9vbORQZ9+oX/NFV8DX6Xgq1XX1DXDtvcvZ4Er/fbirn7N+9GrUlpb+y5p9OPnJLg0yWC/Rqx3qN32K+NLZR1EZIEnN3AmlfHxJbdiv5fQtJWMfk4qMiHDF0smAtWxwqDUPQunpH+SNbVZNZdb4Ep+FR5RKRd9/djNvbT8ysHf0DnDzgyto6xl9ls4/27nzswQuXpQ8qXSH04CfIiaPKeKJz5/M6bN8p8FddmwND3/2JIryUqd3praykOnjijNu4FCsfOy4Gu9gvcdX7B3VWgtvbW+mp9/qOjpvntbuVWrr7B3giRX+E3aBlW10tAuSbW/qYG2dNcbqtFlVjC9N3plDqRMlFEeNL+Whm07k9B++zN5D3UwZU8RPr1yc6GJFLFMHDsXK+NICzp4znhc37WdzYzvr6ls5prZiRK/1wkZ3c74O5FSpbW9LV8gpylsaj8weGomnfebeJ+dgPYfW8FNQTpb1b4vWFCyV+q48frL39mPv7R3RaxhjeHmzNf9+THEeiycn3zxipSIRzgyT0SxuY4zhKbs5vzA3mw/NCz7WKtE04CuVBs6eU0VVqTXi+JnV++jui3y9hfX1bexv67Vfb3zAC0rtklGpYlJFIcdPC37heuoosoW+v6eFvYesjJQXzK+mOMlTfGdswNcvLZVOcrKz+Phx1sDN9t4Bnl3fEPFrvOjKrnf+vMDN+YkeaaxUJL710XkU5mYH3P4ff17PgfbgqccD8Z17n/zJyzI24OuXlko3ly8dmqnx+IrAzfrX3rucs+98lWvvXe7zuBPw87KzOH2WZtdT6WHR5Aqe+PzJnO3KGJmdJYy3W8S2N3XyyXve4YCfpGTB9A14+Ota68J6XEkep8VpXZHRyNiAr1S6mVlV4m2+fGfHIXYf9J9VzFnTu66l2/tYQ2u3d57ySTPHJn3TpFKRWFBTzn03nuCTg+S5W85g7gQrQc72pk6u+k1kQf+1D5q86covXjQpJRaYSv4SKqV8BOuOcubkQ/Ba/nAvbdLR+Sr9ZblykIwpzuPhz57E0RPLANgRYdBP9pXx/NGAr1SKCdYd9ZGFEym2U4g+ubKOgTAXC9HV8VQmGlOcx8OfOTHioO/xGF6wPzMzqopZWFMe87JGgwZ8FTEd8Ji8ivNzuHiRNRd4f1svr29tDrlPV98Ab9qZyI6eWEZNhf5fVeaotIP+PHfQv+cd9gcJ+p19A/QNWBfTlyXpynj+aMBXEdMBj8ntigjn5L++tdn75aXN+SoTVRbn8YfPnMj8SXbQb7YG8gUK+h29A97by1JoaXEN+Bko1WvoqV7+WDt2cgWzxpcA1sj75o7eoM/X5nyl/Af9q+55h8bWI4O+k3566dTKlFpvQofiZqBUr5mnevljzVlQ546/b2LAYy2o85nTZ/h9rsdjeHmztVhOVWk+x6RIX6RSsVBRZAX9a+5dzvr6NnY2d/LJ37zDI589iQnlR+bIT4W5925aw1cqDV12XA05dqa8x94LvKDOmrrD3haAc+eOJ0vTNasMV1GUx+9vOpEFNVZNf2dzJ1f8+m1+8vwW9h0emsqakyV8dGHyroznjwZ8pdLQuJJ871r2Ww90sGrvYb/Pe1Gb85U6wvCgv+dQFz9/eRu9A0OzXjzGsLrucIJKODIa8JVKU1cc78q8F2DwnjP/Pj8nKyUyhSkVLxVFefzhppMoLfDf8+0x8JVHVvkM4Et2GvCVSlNnzKqiusxKH/qXNfvo6vP9Yuof9LC5sR2wFhApzAucb1ypTNQzMEh7T+CA3t4zwF/X7ItjiUZHA75SaSonO4tPLLFq+Z19g/xtre+COu4V9c7T5nyljrDnUFfI5+w6GPo5yUIDvlJp7PIlgVPtumv85+r8e6WOUFWSH/I540ry4lCS6EhYwBeRChF5UkQ2i8gmETlZRMaIyAsistX+Xel6/m0isk1EtojIBYkqt1KpZNq4Yk6cPgaA93a1sKOpw7ut255LvLCmnOqyI6ccKZXppo0r5rgpFQG352YLlyyeFL8CjVIia/g/A54zxswFFgGbgG8ALxljZgEv2fcRkXnAVcB84MPAXSKiHY5KheHK4921/LojtmvtXqnAvnvpgoAD97710XmML02di+WEBHwRKQPOAO4FMMb0GWMOA8uAB+ynPQBcat9eBjxqjOk1xuwEtgEnxLPMSqWqCxdMpNRe7vaP79cdMSdf+++VCmz+pHKe+ZfTuHxJLU6aioLcLO678XiuP2VaQssWqUTV8GcATcB9IrJKRH4rIsVAtTGmAcD+7VQ9agB3B2Sd/dgRRORmEVkhIiuamppi9xcolSIK87K52G52bGrvpcs1WG9CWYE3lahS6W6kabmnjyvmR5cvYurYYgAmlhdy9pzUaxlLVGrdHOA44MvGmOUi8jPs5vsA/KX/8ps6zBhzD3APwNKlS/2nF1Mqw1y5dDIPL98DWEHfcc7c8Smz0pdSo5XpabkTVcOvA+qMMcvt+09iXQDsF5GJAPbvA67nT3btXwukzuRHpRKstCCH3GwrsLuvgt/f05JSiUOUUiOXkIBvjGkE9orIHPuhc4GNwDPA9fZj1wNP27efAa4SkXwRmQ7MAt6NY5GTiq4WpyIx6DF89sEV9A8e2eC1ubGd/3x6fQJKpZSKt0Sulvdl4A8ikgfsAG7EugB5XERuAvYAlwMYYzaIyONYFwUDwJeMMYP+Xzb9ZXqzlIrMPz9oYntTZ8Dtz6zex20XHk1Vaeg5x0qp1JWwgG+MWQ0s9bPp3ADPvwO4I5ZlUiodratvDbp9wGPY3NhGVWlVnEqklEoEzbSnVJorzg99XV+Ul8jGPqVUPGjAVyrNXTC/2u80F0dNRSGLJ1fEqzhKqQTRgK9UmqutLOKzZ8wIuP3/fuRosrN0ap5S6U7b8ZTKALddOJfxpfn85vUd7G+z5uHnZgt3Xb2E8+dppj2lMoHW8JXKACLCZ06fwZv/fo53OmdNRaEGe6UyiAZ8pTJITnYWudnWx14z7CmVWTTgK6WUUhlAA75SSimVATTgK6WUUhlAA75SSimVATTgK6WUUhlA5+ErpZRSYXCmtKbqSqUa8JVSSqkwpPpKpdqkr5RSSmUADfhKKaVUBtCAr5RSSmUADfhKKaVUBtCAr5RSSmUADfhKKaVUBtBpeUplmFSfS6yUGhkN+EplmFSfS6yUGhlt0ldKKaUygAZ8pZRSKgNowFdKKaUygAZ8pZRSKgNowFdKKaUygAZ8pZRSKgNowFdKKaUygAZ8pZRSKgNowFdKKaUygAZ8pZRSKgNowFdKKaUygAZ8pZRSKgOIMSbRZYgZEWkCdgd5yjigeRSHGM3+iTy27q/76/6pu38ql133j/3+U40xVX63GGMy9gdYkaj9E3ls3V/31/1Td/9ULrvun9j9tUlfKaWUygAa8JVSSqkMkOkB/54E7p/IY+v+ur/un7r7p3LZdf8E7p/Wg/aUUkopZcn0Gr5SSimVETIy4IvI70TkgIisH8G+k0XkFRHZJCIbROSrEe5fICLvisgae//vRFoG+3WyRWSViPx1BPvuEpF1IrJaRFaMYP8KEXlSRDbb78PJEew7xz6u89MmIrdEePxb7fduvYg8IiIFEe7/VXvfDeEc29/5IiJjROQFEdlq/66McP/L7eN7RGTpCI7/I/v9XysiT4lIRYT7f9fed7WIPC8ikyLZ37Xt6yJiRGRchMe/XUTqXefBRyI5toh8WUS22O/hDyM89mOu4+4SkdUR7r9YRN5xPj8ickKE+y8Skbftz+BfRKQsyP5+v2/CPf+C7B/W+Rdk/7DOvyD7h3X+BdrftT3o+Rfk+OGefwGPH+ocDHLssM6/IPuHff4dYTTTA1L1BzgDOA5YP4J9JwLH2bdLgQ+AeRHsL0CJfTsXWA6cNIJy/CvwMPDXEey7Cxg3ivfvAeAz9u08oGKEr5MNNGLNGw13nxpgJ1Bo338cuCGC/RcA64EiIAd4EZgV6fkC/BD4hn37G8APItz/aGAO8CqwdATH/xCQY9/+wQiOX+a6/RXgV5Hsbz8+GfgHVq6LgOdTgOPfDnw9jP+Xv33Ptv9v+fb98ZGW3bX9x8B/Rnj854EL7dsfAV6NcP/3gDPt258Gvhtkf7/fN+Gef0H2D+v8C7J/WOdfkP3DOv8C7R/u+Rfk+OGef4H2D3kOBit7OOdfkGOHff4N/8nIGr4x5p/AoRHu22CMed++3Q5swgpC4e5vjDEd9t1c+yeigRQiUgt8FPhtJPtFg10bOQO4F8AY02eMOTzClzsX2G6MCZYcyZ8coFBEcrAC974I9j0aeMcY02WMGQBeAy4LtkOA82UZ1oUP9u9LI9nfGLPJGLMlnAIH2P95u/wA7wC1Ee7f5rpbTJBzMMjn5afAvwXbN8T+IQXY9wvA940xvfZzDozk2CIiwBXAIxHubwCnVl5OkPMvwP5zgH/at18APh5k/0DfN2Gdf4H2D/f8C7J/WOdfkP3DOv9CfN+GPP+i8H0daP+Q52CoY4c6/4LsH/b5N1xGBvxoEZFpwLFYtfRI9su2m3EOAC8YYyLaH/gfrBPdE+F+DgM8LyIrReTmCPedATQB94nVpfBbESkeYTmuIsiXrT/GmHrgTmAP0AC0GmOej+Al1gNniMhYESnCukKeHEkZbNXGmAa7TA3A+BG8RrR8Gng20p1E5A4R2QtcDfxnhPteAtQbY9ZEelyXf7GbdX8XqEk6gNnA6SKyXEReE5HjR3j804H9xpitEe53C/Aj+727E7gtwv3XA5fYty8nzPNv2PdNxOffSL+vwtg/rPNv+P6Rnn/u/Udy/vkpf0Tn37D9IzoHA7x3YZ9/w/a/hRGefxrwR0hESoA/ArcMu1oNyRgzaIxZjHVVfIKILIjguBcBB4wxKyM55jCnGmOOAy4EviQiZ0Swbw5WE+XdxphjgU6sJsWIiEge1pfeExHuV4lVu5kOTAKKReSacPc3xmzCaoJ8AXgOWAMMBN0piYnIN7HK/4dI9zXGfNMYM9ne918iOGYR8E0ivEgY5m5gJrAY68LtxxHsmwNUAicB/wd43K4tReqTRHjBafsCcKv93t2K3doVgU9jfe5WYjXV9oXaYTTfN7HcP9zzz9/+kZx/7v3t40V0/vk5fkTnn5/9wz4Hg7z3YZ1/fvYf+fkXbtt/uv0A0xhBH769by5W39G/RqEc3yaMviTX8/8bqMPqh28EuoDfj+L4t0d4/AnALtf904G/jeC4y4DnR7Df5cC9rvvXAXeN4u//L+CLkZ4vwBZgon17IrBlJOcbYfThB9ofuB54Gygayf6ubVNDfRbc+wMLsVqndtk/A1gtLhNGePygn0U/7/1zwFmu+9uBqgjfuxxgP1A7gv99K0NTmgVoG8V7Pxt4N8T+R3zfRHL++ds/kvMv0P7hnn/Bjh/O+Td8/0jPvzCOH+r88/f+h3UOBnnvwjr/Ahw7ovPP/aM1/AjZV3H3ApuMMT8Zwf5VYo9oFZFC4Dxgc7j7G2NuM8bUGmOmYTWJv2yMCbuGKyLFIlLq3MYafBP2bAVjTCOwV0Tm2A+dC2wMd3+Xkdau9gAniUiR/b84F6tvK2wiMt7+PQX42AjL8QzWFx7276dH8BojJiIfBv4duMQY0zWC/We57l5CZOfgOmPMeGPMNPs8rMMaXNQYwfEnuu5eRgTnIPBn4Bz7dWZjDRyNdDGS84DNxpi6CPcDq8/0TPv2OUBEXQKu8y8L+BbwqyDPDfR9E9b5F4XvK7/7h3v+Bdk/rPPP3/6RnH9Bjh/W+Rfk/fszIc7BEO99yPMvyP4jP//CvTJIpx+sL/gGoB/rZLkpgn1Pw+oDXwustn8+EsH+xwCr7P3XE2SEcBivdRYRjtLH6oNfY/9sAL45guMuBlbYf8OfgcoI9y8CDgLlI/y7v4P1BbEeeAh7pGwE+7+OdZGyBjh3JOcLMBZ4yf6wvQSMiXD/y+zbvVhX+v+IcP9twF7XORhslL2//f9ov39rgb9gDaQa0eeFELM+Ahz/IWCdffxnsGurYe6bB/zeLv/7wDmRlh24H/j8CP/3pwEr7fNnObAkwv2/ijXi+gPg+9i1tQD7+/2+Cff8C7J/WOdfkP3DOv+C7B/W+Rdo/3DPvyDHD/f8C7R/yHMwWNkJ4/wLcuywz7/hP5ppTymllMoA2qSvlFJKZQAN+EoppVQG0ICvlFJKZQAN+EoppVQG0ICvlFJKZQAN+EoppVQG0ICvlPISkVvs1LmR7neDBFli18/zz5IRLO2slBo5DfhKKbdbsBIjhU1EsoEbsNY2UEolKQ34SmUoO83y30RkjYisF5FvYwXtV0TkFfs5d4vIChHZICLfce27S0T+U0TewEqTvBT4g4istlNG+zveh0Vks73Px1yPnyAib4m1+uJbTtpmEXldRBa7nvemiBwTg7dCqYyQk+gCKKUS5sPAPmPMRwFEpBy4ETjbGOPkBf+mMeaQXYt/SUSOMcastbf1GGNOs/f9DNYiTCv8HUhECoDfYOX+3gY85tq8GTjDGDMgIudhLWj0ceC3WC0Ht9j5yvNdx1ZKRUhr+EplrnXAeSLyAxE53RjT6uc5V4jI+1jrP8wH5rm2Pebn+YHMBXYaY7YaK5/3713byoEnRGQ98FP7OGAtnXyRiORiLSl7fwTHU0oNozV8pTKUMeYDEVmCtSDHf4vI8+7tIjId+DpwvDGmRUTuBwpcT+mM9JABHv8u8Iox5jIRmYa1ZCvGmC4ReQFrKeUrsLoNlFIjpDV8pTKUPaq+yxjze+BO4DigHSi1n1KGFdRbRaQauDDIy7n382czMF1EZtr3P+naVg7U27dvGLbfb4GfA+8ZYw4F/YOUUkFpDV+pzLUQ+JGIeLCWb/0CcDLwrIg0GGPOFpFVWMso7wDeDPJa9wO/EpFu4GRjTLd7ozGmR0RuBv4mIs3AG8ACe/MPgQdE5F+Bl4ftt1JE2oD7Rvm3KpXxdHlcpVTSslshXgXmGmM8CS6OUilNm/SVUklJRK4DlmPNFNBgr9QoaQ1fKRVVIvIUMH3Yw/9ujPlHIsqjlLJowFdKKaUygDbpK6WUUhlAA75SSimVATTgK6WUUhlAA75SSimVATTgK6WUUhng/wOHde/XYpE0kwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a line chart of day and average duration in seconds\n",
    "plt.figure(figsize=[8,6])\n",
    "sns.pointplot(data=bike_df, x='start_day', y='duration_sec')\n",
    "plt.title('Average Trip Duration by Day of the Month');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the average trip per day of the month we can see a seasonality associated with longer average trips on weekends."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Talk about some of the relationships you observed in this part of the investigation. How did the feature(s) of interest vary with other features in the dataset?\n",
    "\n",
    "There is a weak negative correlation between the average trip duration and the member's age. Most of the longer trips were by younger members. Trips are usually longer during the weekend than on weekdays, this might happen because on weekends the bikes are used for leisure, while during weekdays they are used for commuting. The number of trips by subscribers had a big decrease during weekends when compared to weekdays.\n",
    "\n",
    "### Did you observe any interesting relationships between the other features (not the main feature(s) of interest)?\n",
    "\n",
    "The trips with the longest average duration were the ones that happened between the hours 2 and 3."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multivariate Exploration\n",
    "\n",
    "> Create plots of three or more variables to investigate your data even\n",
    "further. Make sure that your investigations are justified, and follow from\n",
    "your work in the previous sections."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between age, average duration of trip and subscriber type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 665.125x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot for age, trip duration and user type\n",
    "g = sns.FacetGrid(data = bike_df, hue='user_type', height=8)\n",
    "g.map(plt.scatter, 'member_age', 'duration_sec', alpha=0.2)\n",
    "plt.title('Trip duration by Age and User Type')\n",
    "g.add_legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this visualization we can see that most of the shortest trips were taken by subscribers between the ages of 20 and 40."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between number of trips, start hour and day of the week?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of trips for each day of the week and start hour\n",
    "g = sns.FacetGrid(data=bike_df, col='start_day_of_week', height=5, col_wrap=3, col_order=day_order)\n",
    "g.map(sns.countplot, 'start_hour', order=np.arange(0, 23, 1));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the visualizations above we can see that the bimodal distribution of trips during the rush hour happens only during weekdays. During weekends, most trips happen during the afternoon (13h-17h)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between average duration of trip, start hour and day of the week?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the hourly average trip duration for each day of the week\n",
    "g = sns.FacetGrid(data=bike_df, col='start_day_of_week', height=5, col_wrap=3, col_order=day_order)\n",
    "g.map(sns.barplot, 'start_hour', 'duration_sec', order=np.arange(0, 23, 1));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this visualization we can see that the longer trips between 2 and 3 happened on Wednesday, Thursday and Sunday. On Saturday, trips around 15h have a longer average duration than on other days of the week."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the average trip duration by day of week and user type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the average trip duration by day of week and user type\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_day_of_week', y='duration_sec', order=day_order, hue='user_type')\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.title('Average Trip Duration by Day of Week')\n",
    "plt.legend(title='User Type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this visualization, we can see that Customers have a much higher average duration of trips than Subscribers. Furthermore, we can see the the difference between the average trip duration for Customers on weekends versus weekdays is greater than this same difference for subscribers. One hypothesis for this behavior is that Customers are sporadic users of the bike sharing program and use it during the weekends for leisure trips and these trips last longer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the average trip duration by day of week and gender?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the average trip duration by day of week and member's gender\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_day_of_week', y='duration_sec', order=day_order, hue='member_gender')\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.title('Average Trip Duration by Day of Week');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In all days of the week Other has the longest average trip duration, followed by Females and Males have the shortest average trip duration."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the average trip duration by user type and gender?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the average duration of trips by user_type and gender\n",
    "g = sns.FacetGrid(data=bike_df, col='member_gender', height=5)\n",
    "g.map(sns.barplot, 'user_type', 'duration_sec', order=['Subscriber', 'Customer']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of trips by user_type and gender\n",
    "g = sns.FacetGrid(data=bike_df, col='member_gender', height=5)\n",
    "g.map(sns.countplot, 'user_type', order=['Subscriber', 'Customer']);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Independent of gender, customers have a longer average trip duration than subscribers. The ratio of subscribers/customers is much higher for males than for Other or females, this can help explain why males have the lowest average trip duration."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is the relationship between day of the month, average trip duration and user type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a line chart of day, average duration in seconds and user type\n",
    "plt.figure(figsize=[8,6])\n",
    "sns.pointplot(data=bike_df, x='start_day', y='duration_sec', hue='user_type')\n",
    "plt.title('Average Trip Duration by Day of the Month and User Type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the range of trip duration for customers is much higher than the one for subscribers. One hypothesis for this behavior is that subscribers usually take the same bike trips and therefore have a similar average duration. Customers, on the other hand, take very different kinds of trips."
   ]
  },
  {
   "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",
    "In all visualizations with average trip duration we can see that customers have longer average trips than subscribers and this behavior happens for all different genders and days of the week. Therefore, it seems that the relationship between user type and average trip duration is very strong.\n",
    "\n",
    "### Were there any interesting or surprising interactions between features?\n",
    "\n",
    "One surprising interaction between the features was that on Wednesday, Thursday and Sunday there are longer average duration trips between 2 and 3, I would expect to see this behavior during the weekend nights (Friday and Saturday), as people could use the bikes to return home after a night out. I wasn't expecting this behavior on weekdays, such as Wednesday or Thursday."
   ]
  },
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    "## Conclusions\n",
    "\n",
    "In this notebook I analyzed data from a bike sharing program in San Francisco. After doing some data wrangling I created a few visualizations to explore the data.\n",
    "A few interesting conclusions from the visualizations are:\n",
    "* Most of the trips are up to 1,000 seconds (~16 minutes) long.\n",
    "* The distribution of trips by hour of the day is bimodal with two peaks at the morning and evening rush hours.\n",
    "* This bimodal distribution of trips happens only during the weekdays.\n",
    "* Usually, there are more trips during weekdays than weekends.\n",
    "* Most of the trips were by Subscribers and Males.\n",
    "* Most of the trips were by members who are young adults (24-35 years old).\n",
    "* On average the trips by female are longer than the trips by males.\n",
    "* On average the trips by customers are longer than the trips by subscribers.\n",
    "* The average trip duration is longer on weekends than on weekdays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the updated dataframe to a csv to use in the part II of the project\n",
    "bike_df.to_csv('bike_df_final.csv')"
   ]
  }
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