Exploration_Ford GoBike System Data.ipynb

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   "source": [
    "# Ford GoBike System Data\n",
    "## by Arushi Chawla\n",
    "\n",
    "## Preliminary Wrangling\n",
    "\n",
    "> Bay Wheels bikes and ebikes are now available on the Lyft app. We are using Bay Wheels's trip data that is available for public use and is provided according to the Bay Wheels License Agreement. The dataset provides each trip's anonymized data and includes the trip, location, and user details."
   ]
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   "execution_count": 1,
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   "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 sb\n",
    "import requests\n",
    "import os\n",
    "from zipfile import ZipFile\n",
    "from io import BytesIO\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# Suppress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Data Gathering\n",
    "> As part of data gathering process, we download the data from https://s3.amazonaws.com/fordgobike-data/index.html and store it on our local machine. As a next step, all the data is merged in one dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
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   "outputs": [],
   "source": [
    "# Create directory to store all the downloaded data files\n",
    "folder_name = 'bike_data'\n",
    "if not os.path.exists(folder_name):\n",
    "    os.makedirs(folder_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
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   "outputs": [],
   "source": [
    "# Download and write 2017 file\n",
    "file_url_2017 = 'https://s3.amazonaws.com/fordgobike-data/2017-fordgobike-tripdata.csv'\n",
    "pd.read_csv(file_url_2017).to_csv(folder_name + '/2017-forgobike-tripdata.csv')\n",
    "    \n",
    "# Download, unzip, and write 2018 files\n",
    "months_2018 = ['01','02','03','04','05','06','07','08','09','10','11','12']\n",
    "for month in months_2018:\n",
    "    file_url_2018 = 'https://s3.amazonaws.com/fordgobike-data/2018' + month + '-fordgobike-tripdata.csv.zip'\n",
    "    response = requests.get(file_url_2018)\n",
    "    # Unzip the zipped folder and use BytesIO to return readable and writeable contents\n",
    "    unzipped_file_2018 = ZipFile(BytesIO(response.content))\n",
    "    # Extracts all files into the defined folder path\n",
    "    unzipped_file_2018.extractall(folder_name)\n",
    "    unzipped_file_2018.close()\n",
    "\n",
    "# Download, unzip, and write 2019 files\n",
    "months_2019 = ['01','02','03','04']\n",
    "for month in months_2019:\n",
    "    file_url_2019 = 'https://s3.amazonaws.com/fordgobike-data/2019' + month + '-fordgobike-tripdata.csv.zip'\n",
    "    response = requests.get(file_url_2019)\n",
    "    # Unzip the zipped folder and use BytesIO to return readable and writeable contents\n",
    "    unzipped_file_2019 = ZipFile(BytesIO(response.content))\n",
    "    # Extracts all files into the defined folder path\n",
    "    unzipped_file_2019.extractall(folder_name)\n",
    "    unzipped_file_2019.close()"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    "# Delete '.ipynb_checkpoints' temporary files created by auto-saving of notebook\n",
    "!rm -r folder_name/'.ipynb_checkpoints'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
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   "source": [
    "# Read all the data files in the downloaded folder and concatinate in one dataframe\n",
    "df = pd.concat((pd.read_csv(folder_name + '/' + file, engine='python') for file in os.listdir(folder_name)))"
   ]
  },
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   "execution_count": 12,
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   "outputs": [
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 3254325 entries, 0 to 183411\n",
      "Data columns (total 17 columns):\n",
      "Unnamed: 0                 519700 non-null float64\n",
      "bike_id                    3254325 non-null int64\n",
      "bike_share_for_all_trip    2734625 non-null object\n",
      "duration_sec               3254325 non-null int64\n",
      "end_station_id             3241824 non-null float64\n",
      "end_station_latitude       3254325 non-null float64\n",
      "end_station_longitude      3254325 non-null float64\n",
      "end_station_name           3241824 non-null object\n",
      "end_time                   3254325 non-null object\n",
      "member_birth_year          3036159 non-null float64\n",
      "member_gender              3036592 non-null object\n",
      "start_station_id           3241824 non-null float64\n",
      "start_station_latitude     3254325 non-null float64\n",
      "start_station_longitude    3254325 non-null float64\n",
      "start_station_name         3241824 non-null object\n",
      "start_time                 3254325 non-null object\n",
      "user_type                  3254325 non-null object\n",
      "dtypes: float64(8), int64(2), object(7)\n",
      "memory usage: 446.9+ MB\n"
     ]
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>bike_id</th>\n",
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       "      <th>start_station_name</th>\n",
       "      <th>start_time</th>\n",
       "      <th>user_type</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1035</td>\n",
       "      <td>No</td>\n",
       "      <td>598</td>\n",
       "      <td>114.0</td>\n",
       "      <td>37.764478</td>\n",
       "      <td>-122.402570</td>\n",
       "      <td>Rhode Island St at 17th St</td>\n",
       "      <td>2018-03-01 00:09:45.1870</td>\n",
       "      <td>1988.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>284.0</td>\n",
       "      <td>37.784872</td>\n",
       "      <td>-122.400876</td>\n",
       "      <td>Yerba Buena Center for the Arts (Howard St at ...</td>\n",
       "      <td>2018-02-28 23:59:47.0970</td>\n",
       "      <td>Subscriber</td>\n",
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       "      <td>324.0</td>\n",
       "      <td>37.788300</td>\n",
       "      <td>-122.408531</td>\n",
       "      <td>Union Square (Powell St at Post St)</td>\n",
       "      <td>2018-02-28 23:36:59.9740</td>\n",
       "      <td>1987.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>6.0</td>\n",
       "      <td>37.804770</td>\n",
       "      <td>-122.403234</td>\n",
       "      <td>The Embarcadero at Sansome St</td>\n",
       "      <td>2018-02-28 23:21:16.4950</td>\n",
       "      <td>Customer</td>\n",
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       "      <td>15.0</td>\n",
       "      <td>37.795392</td>\n",
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       "      <td>San Francisco Ferry Building (Harry Bridges Pl...</td>\n",
       "      <td>2018-02-28 23:30:42.9250</td>\n",
       "      <td>1986.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>93.0</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>4th St at Mission Bay Blvd S</td>\n",
       "      <td>2018-02-28 18:20:55.1900</td>\n",
       "      <td>Customer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3129</td>\n",
       "      <td>No</td>\n",
       "      <td>18558</td>\n",
       "      <td>15.0</td>\n",
       "      <td>37.795392</td>\n",
       "      <td>-122.394203</td>\n",
       "      <td>San Francisco Ferry Building (Harry Bridges Pl...</td>\n",
       "      <td>2018-02-28 23:30:12.4500</td>\n",
       "      <td>1981.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>93.0</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>4th St at Mission Bay Blvd S</td>\n",
       "      <td>2018-02-28 18:20:53.6210</td>\n",
       "      <td>Customer</td>\n",
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       "      <th>4</th>\n",
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       "      <td>1839</td>\n",
       "      <td>Yes</td>\n",
       "      <td>885</td>\n",
       "      <td>297.0</td>\n",
       "      <td>37.322980</td>\n",
       "      <td>-121.887931</td>\n",
       "      <td>Locust St at Grant St</td>\n",
       "      <td>2018-02-28 23:29:58.6080</td>\n",
       "      <td>1976.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>308.0</td>\n",
       "      <td>37.336802</td>\n",
       "      <td>-121.894090</td>\n",
       "      <td>San Pedro Square</td>\n",
       "      <td>2018-02-28 23:15:12.8580</td>\n",
       "      <td>Subscriber</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   Unnamed: 0  bike_id bike_share_for_all_trip  duration_sec  end_station_id  \\\n",
       "0         NaN     1035                      No           598           114.0   \n",
       "1         NaN     1673                      No           943           324.0   \n",
       "2         NaN     3498                      No         18587            15.0   \n",
       "3         NaN     3129                      No         18558            15.0   \n",
       "4         NaN     1839                     Yes           885           297.0   \n",
       "\n",
       "   end_station_latitude  end_station_longitude  \\\n",
       "0             37.764478            -122.402570   \n",
       "1             37.788300            -122.408531   \n",
       "2             37.795392            -122.394203   \n",
       "3             37.795392            -122.394203   \n",
       "4             37.322980            -121.887931   \n",
       "\n",
       "                                    end_station_name  \\\n",
       "0                         Rhode Island St at 17th St   \n",
       "1                Union Square (Powell St at Post St)   \n",
       "2  San Francisco Ferry Building (Harry Bridges Pl...   \n",
       "3  San Francisco Ferry Building (Harry Bridges Pl...   \n",
       "4                              Locust St at Grant St   \n",
       "\n",
       "                   end_time  member_birth_year member_gender  \\\n",
       "0  2018-03-01 00:09:45.1870             1988.0          Male   \n",
       "1  2018-02-28 23:36:59.9740             1987.0          Male   \n",
       "2  2018-02-28 23:30:42.9250             1986.0        Female   \n",
       "3  2018-02-28 23:30:12.4500             1981.0          Male   \n",
       "4  2018-02-28 23:29:58.6080             1976.0        Female   \n",
       "\n",
       "   start_station_id  start_station_latitude  start_station_longitude  \\\n",
       "0             284.0               37.784872              -122.400876   \n",
       "1               6.0               37.804770              -122.403234   \n",
       "2              93.0               37.770407              -122.391198   \n",
       "3              93.0               37.770407              -122.391198   \n",
       "4             308.0               37.336802              -121.894090   \n",
       "\n",
       "                                  start_station_name  \\\n",
       "0  Yerba Buena Center for the Arts (Howard St at ...   \n",
       "1                      The Embarcadero at Sansome St   \n",
       "2                       4th St at Mission Bay Blvd S   \n",
       "3                       4th St at Mission Bay Blvd S   \n",
       "4                                   San Pedro Square   \n",
       "\n",
       "                 start_time   user_type  \n",
       "0  2018-02-28 23:59:47.0970  Subscriber  \n",
       "1  2018-02-28 23:21:16.4950    Customer  \n",
       "2  2018-02-28 18:20:55.1900    Customer  \n",
       "3  2018-02-28 18:20:53.6210    Customer  \n",
       "4  2018-02-28 23:15:12.8580  Subscriber  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Adding null_counts=True since by default it wouldn't show that for large datasets\n",
    "df.info(null_counts=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "### What is the structure of the dataset?\n",
    "\n",
    "> The dataframe has trips data from 2017 to 05/2019. It has a total of 17 columns and 3254325 rows that provide details of the trips, and users. Each row in the data informs a trip identified by a unique bike_id.\n",
    "\n",
    "### What is/are the main feature(s) of interest in the dataset?\n",
    "\n",
    "> Below are some of the features of interest: <br>\n",
    "- What time of the day/week/month are most trips taken?\n",
    "- Who takes ride more often - female or male?\n",
    "- What is the average age of riders?\n",
    "- Which station is the rides most taken in?\n",
    "- How long does the average trip take?\n",
    "- Does the ride behavior depend on user being a subscriber or customer?\n",
    "\n",
    "### What features in the dataset will help support our investigation into the feature(s) of interest?\n",
    "\n",
    "> Features that would support our investigation are: <br>\n",
    "- start_time and end_time\n",
    "- member_gender\n",
    "- member_birth_year\n",
    "- start_station_name and end_station_name\n",
    "- duration_sec\n",
    "- user type"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Data Cleaning\n",
    "> As part of data cleaning ptocess, we create a copy of our dataframe and change field's data type wherever required. We also added new fields/features to the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "df_clean = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Correct the data types\n",
    "df_clean['end_station_id'] = df_clean['end_station_id'].astype('object')\n",
    "df_clean['start_station_id'] = df_clean['start_station_id'].astype('object')\n",
    "df_clean['member_birth_year'] = df_clean['member_birth_year'].astype('Int64')\n",
    "\n",
    "df_clean['end_time'] = pd.to_datetime(df_clean['end_time'])\n",
    "df_clean['start_time'] = pd.to_datetime(df_clean['start_time'])\n",
    "\n",
    "df_clean['user_type'] = df_clean['user_type'].astype('category', ordered = False, categories = ['Customer','Subscriber'])\n",
    "df_clean['member_gender'] = df_clean['member_gender'].astype('category', ordered = False, categories = ['Male', 'Female', 'Other'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Add new features\n",
    "\n",
    "# Calculate member age and convert it to int64\n",
    "df_clean['member_age'] = (2019 - df_clean['member_birth_year']).astype('Int64')\n",
    "\n",
    "# Create member age groups to be able to categorize age\n",
    "df_clean['member_age_category'] = df_clean['member_age'].apply(lambda x: 'Below 20' if x<=20\n",
    "                                                               else '20 - 40' if 20<x<=40\n",
    "                                                               else '40 - 60' if 40<x<=60\n",
    "                                                               else 'Greater than 60')\n",
    "\n",
    "# Convert trip duration from sec to mins\n",
    "df_clean['duration_min'] = df_clean['duration_sec']/60\n",
    "\n",
    "# Extract start and end date\n",
    "df_clean['start_date']=df_clean['start_time'].dt.date\n",
    "df_clean['end_date']=df_clean['end_time'].dt.date\n",
    "\n",
    "# Extract hour, month, date, and dayofweek from start time\n",
    "df_clean['start_hour'] = df_clean['start_time'].dt.hour\n",
    "df_clean['start_dow']  = df_clean['start_time'].dt.dayofweek\n",
    "df_clean['start_day'] = df_clean['start_time'].dt.day\n",
    "df_clean['start_month'] = df_clean['start_time'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Drop unwanted columns\n",
    "df_clean.drop(['Unnamed: 0', 'bike_share_for_all_trip', 'duration_sec', 'member_birth_year'], axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Data Validation\n",
    "> Check on the datatypes and columns after we have cleaned the data set and created new fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 3254325 entries, 0 to 183411\n",
      "Data columns (total 22 columns):\n",
      "bike_id                    3254325 non-null int64\n",
      "end_station_id             3241824 non-null object\n",
      "end_station_latitude       3254325 non-null float64\n",
      "end_station_longitude      3254325 non-null float64\n",
      "end_station_name           3241824 non-null object\n",
      "end_time                   3254325 non-null datetime64[ns]\n",
      "member_gender              3036592 non-null category\n",
      "start_station_id           3241824 non-null object\n",
      "start_station_latitude     3254325 non-null float64\n",
      "start_station_longitude    3254325 non-null float64\n",
      "start_station_name         3241824 non-null object\n",
      "start_time                 3254325 non-null datetime64[ns]\n",
      "user_type                  3254325 non-null category\n",
      "member_age                 3036159 non-null Int64\n",
      "member_age_category        3254325 non-null object\n",
      "duration_min               3254325 non-null float64\n",
      "start_date                 3254325 non-null object\n",
      "end_date                   3254325 non-null object\n",
      "start_hour                 3254325 non-null int64\n",
      "start_dow                  3254325 non-null int64\n",
      "start_day                  3254325 non-null int64\n",
      "start_month                3254325 non-null int64\n",
      "dtypes: Int64(1), category(2), datetime64[ns](2), float64(5), int64(5), object(7)\n",
      "memory usage: 530.7+ MB\n"
     ]
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bike_id</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>end_station_latitude</th>\n",
       "      <th>end_station_longitude</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_time</th>\n",
       "      <th>member_gender</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>start_station_latitude</th>\n",
       "      <th>start_station_longitude</th>\n",
       "      <th>...</th>\n",
       "      <th>user_type</th>\n",
       "      <th>member_age</th>\n",
       "      <th>member_age_category</th>\n",
       "      <th>duration_min</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>start_hour</th>\n",
       "      <th>start_dow</th>\n",
       "      <th>start_day</th>\n",
       "      <th>start_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1035</td>\n",
       "      <td>114</td>\n",
       "      <td>37.764478</td>\n",
       "      <td>-122.402570</td>\n",
       "      <td>Rhode Island St at 17th St</td>\n",
       "      <td>2018-03-01 00:09:45.187</td>\n",
       "      <td>Male</td>\n",
       "      <td>284</td>\n",
       "      <td>37.784872</td>\n",
       "      <td>-122.400876</td>\n",
       "      <td>...</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>31</td>\n",
       "      <td>20 - 40</td>\n",
       "      <td>9.966667</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1673</td>\n",
       "      <td>324</td>\n",
       "      <td>37.788300</td>\n",
       "      <td>-122.408531</td>\n",
       "      <td>Union Square (Powell St at Post St)</td>\n",
       "      <td>2018-02-28 23:36:59.974</td>\n",
       "      <td>Male</td>\n",
       "      <td>6</td>\n",
       "      <td>37.804770</td>\n",
       "      <td>-122.403234</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>32</td>\n",
       "      <td>20 - 40</td>\n",
       "      <td>15.716667</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3498</td>\n",
       "      <td>15</td>\n",
       "      <td>37.795392</td>\n",
       "      <td>-122.394203</td>\n",
       "      <td>San Francisco Ferry Building (Harry Bridges Pl...</td>\n",
       "      <td>2018-02-28 23:30:42.925</td>\n",
       "      <td>Female</td>\n",
       "      <td>93</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>33</td>\n",
       "      <td>20 - 40</td>\n",
       "      <td>309.783333</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3129</td>\n",
       "      <td>15</td>\n",
       "      <td>37.795392</td>\n",
       "      <td>-122.394203</td>\n",
       "      <td>San Francisco Ferry Building (Harry Bridges Pl...</td>\n",
       "      <td>2018-02-28 23:30:12.450</td>\n",
       "      <td>Male</td>\n",
       "      <td>93</td>\n",
       "      <td>37.770407</td>\n",
       "      <td>-122.391198</td>\n",
       "      <td>...</td>\n",
       "      <td>Customer</td>\n",
       "      <td>38</td>\n",
       "      <td>20 - 40</td>\n",
       "      <td>309.300000</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1839</td>\n",
       "      <td>297</td>\n",
       "      <td>37.322980</td>\n",
       "      <td>-121.887931</td>\n",
       "      <td>Locust St at Grant St</td>\n",
       "      <td>2018-02-28 23:29:58.608</td>\n",
       "      <td>Female</td>\n",
       "      <td>308</td>\n",
       "      <td>37.336802</td>\n",
       "      <td>-121.894090</td>\n",
       "      <td>...</td>\n",
       "      <td>Subscriber</td>\n",
       "      <td>43</td>\n",
       "      <td>40 - 60</td>\n",
       "      <td>14.750000</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>28</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   bike_id end_station_id  end_station_latitude  end_station_longitude  \\\n",
       "0     1035            114             37.764478            -122.402570   \n",
       "1     1673            324             37.788300            -122.408531   \n",
       "2     3498             15             37.795392            -122.394203   \n",
       "3     3129             15             37.795392            -122.394203   \n",
       "4     1839            297             37.322980            -121.887931   \n",
       "\n",
       "                                    end_station_name                end_time  \\\n",
       "0                         Rhode Island St at 17th St 2018-03-01 00:09:45.187   \n",
       "1                Union Square (Powell St at Post St) 2018-02-28 23:36:59.974   \n",
       "2  San Francisco Ferry Building (Harry Bridges Pl... 2018-02-28 23:30:42.925   \n",
       "3  San Francisco Ferry Building (Harry Bridges Pl... 2018-02-28 23:30:12.450   \n",
       "4                              Locust St at Grant St 2018-02-28 23:29:58.608   \n",
       "\n",
       "  member_gender start_station_id  start_station_latitude  \\\n",
       "0          Male              284               37.784872   \n",
       "1          Male                6               37.804770   \n",
       "2        Female               93               37.770407   \n",
       "3          Male               93               37.770407   \n",
       "4        Female              308               37.336802   \n",
       "\n",
       "   start_station_longitude  ...   user_type member_age member_age_category  \\\n",
       "0              -122.400876  ...  Subscriber         31             20 - 40   \n",
       "1              -122.403234  ...    Customer         32             20 - 40   \n",
       "2              -122.391198  ...    Customer         33             20 - 40   \n",
       "3              -122.391198  ...    Customer         38             20 - 40   \n",
       "4              -121.894090  ...  Subscriber         43             40 - 60   \n",
       "\n",
       "   duration_min  start_date    end_date start_hour start_dow  start_day  \\\n",
       "0      9.966667  2018-02-28  2018-03-01         23         2         28   \n",
       "1     15.716667  2018-02-28  2018-02-28         23         2         28   \n",
       "2    309.783333  2018-02-28  2018-02-28         18         2         28   \n",
       "3    309.300000  2018-02-28  2018-02-28         18         2         28   \n",
       "4     14.750000  2018-02-28  2018-02-28         23         2         28   \n",
       "\n",
       "   start_month  \n",
       "0            2  \n",
       "1            2  \n",
       "2            2  \n",
       "3            2  \n",
       "4            2  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Adding null_counts = True since by default it wouldn't show counts for large datasets\n",
    "df_clean.info(null_counts=True)\n",
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Data Assessment\n",
    "> Under the data assessment, we perform univariate, bivariate, and multivariate analyses on our data. Each section has combined exploratory and explanatory visualizations to support the analyses and communicate the story and insights."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Univariate Exploration\n",
    "\n",
    "> In this section, we investigate distributions of individual variables and highlight any unusual points or outliers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Start_time of the trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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oRETE0HTWn4iIGJqCSkREDE0nU9yG33/PIDdXK6ciIsXh7OzEAw/c/L3kFFS3ITfXpqASESlhWvoTERFDU1CJiIihKahERMTQFFQiImJoCioRETE0BZWIiBiagkpERAxNn6MSu3LlXSnjanJ0GflkXc7m4oXLji6jxJWrYKaMi/F+JLNyrnDxvNXRZch9zHg/FeIwZVxNtO43wtFl5PPlvLe5yF8/qMq4lOaZpV86uox8Vr/YmqJv5i5ScrT0JyIihqY9KvnLKOdehjImF0eXkU9Wdg4X/5fl6DJE7lkKKvnLKGNyIXyy8W6BvnH0K1xEQSVyq7T0JyIihqagEhERQ1NQiYiIoSmoRETE0BRUIiJiaAoqERExNAWViIgYmoJKREQMTUElIiKGpqASERFDU1CJiIih3dVr/a1Zs4Zx48ZhMv3fPY/Gjh1Lu3btmDhxIrGxsTg7O/PSSy/x6quv2rdZtmwZCxYs4OLFizzxxBNMmDABi8UCQHx8PJMnT+bEiRPUq1ePadOmUaNGDQBOnTrF6NGj2b9/P5UqVeLNN98kODgYgOzs7ELnFJHiK1/BjKsB76UFcDnnChd0P6172l19Zx06dIiXXnqJYcOG5WmfMWMGaWlpxMXFcfHiRXr16kXlypXp0KED27ZtIzo6mqVLl1K1alVGjhzJxIkTmTp1KufOnaN///5MmTKFkJAQPvzwQyIjI+3h8/rrr+Pv788HH3zA3r176d+/Pxs2bKB69epERUXdcM5bVbacCXMZ19t9me44a9ZlLl3MdnQZ8hfm6lKageviHF1GgaI6hjq6BLlNdzWoDh48yPPPP5+vPSYmhrfffht3d3fc3d2JjIxkxYoVdOjQgfXr19OpUyfq1KkDwNChQwkLC2PMmDHExcVRp04d2rRpA0CvXr1YtmwZO3fupGrVqhw4cIDFixdjMpkICgoiJCSENWvWMGTIkELnvFXmMq40b9/llp9fUrZvWKWgEpF71l07RnX16lUOHz7Mhg0baN68OaGhocyfP5///e9/nDlzBm9vb/u2tWvXJjk5GYCjR4/i5eVl76tRowY2m41jx47l67v+uSkpKVSpUsW+RAjg6enJ4cOHuXDhQqFzioiIcdy1Papz587RoEEDOnTowJw5c0hJSaFfv35kZ//xl36ZMmXs25rNZrKy/rh/T2ZmJmaz2d7n5OSEyWTCarXm67s2jtVqJSMjI8+Y14+bmZlZ6JzFValS2Zva3pE8PMo5uoTbovodS/WLI921oPLw8GD58uX2x/Xr1+e5557jP//5DwCXL1+291mtVvue0J8DxGazkZ2djZubW4HhkpWVhcViwWKx5Bnz+nGvhduN5iyus2cvkZtru+57NO4Pw5kzF4vcRvWXnL96/UauHYr3+kvJc3Z2uqU/8O/a0t+RI0eYPXt2nracnBxcXV3x8PAgNTXV3p6WlmZflvP29iYtLc3ed/z4cWw2GzVr1szXB5Camoq3tzdeXl6cOnUqT5Bd63N3dy90ThERMY67FlTly5dnyZIlrFq1itzcXA4cOMCyZcvo2LEjERERzJ07l3PnznHy5EkWLVpEREQEAO3bt2f16tUkJSWRkZHBjBkzCA0NxWKxEBoaSlJSEps3byYnJ4dFixbh7OxMYGAgnp6e1KtXj1mzZpGdnU18fDxbt24lLCwMoNA5RUTEOO5aUFWuXJl58+axYsUKGjduzKBBg+jXrx9PPfUUgwcPpk6dOoSFhdG5c2fatGlD9+7dAQgODqZv377069ePli1bYrPZmDBhAgCVKlUiOjqa+fPnExgYSGxsLNHR0fbPaUVFRZGSkkJQUBBjxoxh8uTJ1K1bF6DQOUVExDju6unpQUFBrFu3Ll+7q6sr48aNY9y4cQU+r0ePHvTo0aPAviZNmrB+/foC+6pUqcLChQsL7CtqThERMQZdQklERAxNQSUiIoamoBIREUNTUImIiKEpqERExNAUVCIiYmgKKhERMTQFlYiIGJqCSkREDE1BJSIihqagEhERQ1NQiYiIoSmoRETE0BRUIiJiaAoqERExNAWViIgYmoJKREQMTUElIiKGpqASERFDU1CJiIihKahERMTQFFQiImJoCioRETE0BZWIiBiagkpERAxNQSUiIoamoBIREUO760F14cIFWrVqxbp16+yPBw0aROPGjWnRogVr1661b2uz2Zg1axZBQUEEBAQwZcoUrly5Yu/fvHkzoaGh+Pv707t3b86ePWvvS0pKomvXrvj7+xMeHk5iYmKeGm40p4iIGMtdD6px48Zx+vRp++O33noLZ2dntm/fzvz585kxYwYJCQkArFy5kri4OGJiYtiyZQs//PAD0dHRABw9epTRo0czdepUdu3aRc2aNRkyZAgA2dnZ9OvXj7Zt27J792769OlDZGQkly5dKnJOERExlrsaVDExMVy6dIm6desCYLVaiY2NZfDgwZjNZurXr88zzzzDypUrAVi/fj0vvPACDz30EBUrVmTgwIH2vk8//ZSQkBACAgJwdXVl6NCh7Nu3j2PHjpGQkEBOTg4vvvgiLi4utGvXDm9vbzZv3lzknCIiYix3LahOnDjBnDlzmDJlir3t2LFjODk5UatWLXubp6cnycnJwB97TV5eXnn6fv31V86fP5+vz2w2U6VKFZKTk/P1XT9uUXOKiIix3JWgunr1Km+88QbDhw/Hw8PD3p6RkYHJZMLJycneZjabycrKAiAzMxOz2WzvK1OmDABZWVn5+q71W61WMjMz7dteP67Vai1yThERMZbSd2OSefPmUbt2bZ588sk87RaLhezsbGw2mz04rFYrFosFyB8g1762WCwFhktWVhZubm5YLBYuX76cp+/auEXNeTMqVSp7089xFA+Pco4u4baofsdS/eJIdyWoNm3axK+//kpcXBzwx57U+PHjefrpp7HZbJw8eZLq1asDkJqaire3NwDe3t6kpaXRuHFje5+Hhwfly5e3911jtVr5+eef8fLywtXVlaVLl+apITU1lQ4dOlCzZs1C57wZZ89eIjfXZn9s5B+GM2cuFrmN6i85f/X6jVw7FO/1l5Ln7Ox0S3/g35Wlvy+++IJ9+/axZ88e9uzZQ926dRk3bhxTp06ldevWzJgxg4yMDJKSkli9ejUREREAREREsHjxYtLT0zl37hxRUVG0b98egLCwMLZu3cquXbvIzs5mxowZ1K9fn9q1a9O0aVNsNhtLly4lJyeHTZs2cfjwYUJDQ3Fzcyt0ThERMZa7skdVmAkTJjB+/HhCQkIwmUz06dOH4OBgALp3787Zs2fp1q0bWVlZPPXUUwwePBgAHx8fpkyZYj/dvWHDhrz//vsAmEwmFixYwLhx43j//fepVq0ac+fOpWLFikXOKSIixuKQoNqwYYP9a3d3d2bOnFngds7OzgwaNIhBgwYV2N+mTRvatGlTYF/dunX55JNPCuwrbE4RETEWXUJJREQMTUElIiKGpqASERFDU1CJiIihKahERMTQFFQiImJoCioRETE0BZWIiBiagkpERAxNQSUiIoamoBIREUNTUImIiKEpqERExNAUVCIiYmgKKhERMTQFlYiIGJqCSkREDE1BJSIihqagEhERQ1NQiYiIoRU7qJ544gl+//33fO2nT58mKCjojhYlIiJyTenCOrdu3crevXsBSE9PJyoqijJlyuTZ5vjx4yVXnYiI3PcKDap69erx4YcfYrPZADh06BAuLi72ficnJywWC2+//XbJVikiIvetQoPqb3/7Gx999BEAI0eOZPTo0ZQtW/auFCYiIgJFBNX1pk6dypUrV/jpp5+4cuWKfS/rGm9v7ztenIiISLGD6ptvvmHkyJGcP38+X0g5OTnx448/3vHiREREih1UM2fOpEmTJvTv31/LfyIictcUO6iOHz/OrFmz8PLyKsl6RERE8ih2UPn6+pKcnHxbQfX1118zc+ZMTp48SaVKlejVqxfdunUjOzubiRMnEhsbi7OzMy+99BKvvvqq/XnLli1jwYIFXLx4kSeeeIIJEyZgsVgAiI+PZ/LkyZw4cYJ69eoxbdo0atSoAcCpU6cYPXo0+/fvp1KlSrz55psEBwcDFDmniNw/3CuYMbkU+9fhXZWdc4X/nbc6ugyHKvb/TGhoKGPHjiUhIYGaNWvmOU0doEePHoU+/9dff2XQoEHMmTOH4OBgDh48SPfu3fH19eWLL74gLS2NuLg4Ll68SK9evahcuTIdOnRg27ZtREdHs3TpUqpWrcrIkSOZOHEiU6dO5dy5c/Tv358pU6YQEhLChx9+SGRkpD18Xn/9dfz9/fnggw/Yu3cv/fv3Z8OGDVSvXp2oqKgbziki9xeTS2mmfBnn6DIKNKp1qKNLcLhiB9XSpUspV64c3377bb4+JyenIoPqwQcfZOfOnZQtW5bc3FzOnz9PqVKlcHNzIyYmhrfffht3d3fc3d2JjIxkxYoVdOjQgfXr19OpUyfq1KkDwNChQwkLC2PMmDHExcVRp04d2rRpA0CvXr1YtmwZO3fupGrVqhw4cIDFixdjMpkICgoiJCSENWvWMGTIkELnFBER4yh2UH311Ve3PVnZsmWxWq0EBARw5coVevfuTcWKFTlz5kye09tr165NcnIyAEePHqVly5b2vho1amCz2Th27BhHjx7NtxR57blWq5UqVarYlwgBPD09SUxM5MKFC4XOKSIixlHsoLJaC18jNZvNxRrH1dWV7777jsOHD/PKK6/YL8l0/aWZzGYzWVlZAGRmZuYZ28nJCZPJhNVqzdd3bRyr1UpGRka+yz1dGzczM7PQOYurUqV75+xHD49yji7htqh+x1L9jnWv13+7ih1UjRo1wsnJ6Yb9xf0clbOzMyaTCV9fX7p06cKBAwcAuHz5sn0bq9Vq3xP6c4DYbDays7Nxc3MrMFyysrKwWCxYLJY8Y14/7rVwu9GcxXX27CVyc//vM2VGfjOdOXOxyG1Uf8n5q9dv5Nrhr1//vcLZ2emW/sAvdlBdu5TSNVevXuX48eMsXryYN954o8jnJyQk8Pbbb7Nu3Tp7W3Z2NuXLl8fDw4PU1FQqV64MQFpamn1Zztvbm7S0NPtzjh8/js1mo2bNmnh7e7Nx48Y886SmptKrVy+qVq3KqVOnyMrKsu85paam4u3tjbu7e6FzioiIcRT7Nh+BgYF5/gUFBdG1a1feeust5s2bV+Tz69evz+nTp1myZAlXr15l3759rF27ls6dOxMREcHcuXM5d+4cJ0+eZNGiRURERADQvn17Vq9eTVJSEhkZGcyYMYPQ0FAsFguhoaEkJSWxefNmcnJyWLRoEc7OzgQGBuLp6Um9evWYNWsW2dnZxMfHs3XrVsLCwgAKnVNERIzjtm+c+OCDD3L06NEitytXrhzz589ny5YtBAYGMnbsWCZNmkRgYCCDBw+mTp06hIWF0blzZ9q0aUP37t0BCA4Opm/fvvTr14+WLVtis9mYMGECAJUqVSI6Opr58+cTGBhIbGws0dHRmEwmAKKiokhJSSEoKIgxY8YwefJk6tatC1DonCIiYhzFXvor6LT0ixcvsnjxYurVq1esMR555BE++eSTfO2urq6MGzeOcePGFfi8Hj163PD09yZNmrB+/foC+6pUqcLChQsL7CtqThERMYZiB1VBV21wcXHB19eXsWPH3tGiREREril2UCUlJZVkHSIiIgW6qYtbXb58mU8//ZSjR4+Sm5uLl5cXTz/9NOXLly+p+kRE5D5X7KBKS0sjMjKSzMxMHn74YWw2G5999hlz5szh448/pmbNmiVZp4iI3KeKHVSTJ0+mfv36vPvuu/YPzFqtVoYPH87UqVOJjo4usSJFROTGKjxgxqW08a7+nnPlCud/v/0rvxf7O9uzZw+rV6/Oc8kis9nMgAED6Nat220XIiIit8aldGk+3LvV0WXk80LjJ+7IOMX+HFX58uW5cOFCvvYLFy7ku+WHiIjInVLsoAoNDeWtt97i0KFD9raDBw8yfvx4QkN1vxQRESkZxV76GzJkCIMGDaJTp072PaicnBxCQ0MZMWJEiRUoIiL3t2IHldlsxs/Pj5CQECpWrIirqysjR46kbt26N33VcRERkeIq9tLf22+/zcaNG6lduzamFZmAAAAV1UlEQVRPP/00TzzxBKNGjWL9+vW8//77JVmjiIjcx4odVJ9//jnvvvsuf//73+1tHTp0yHfrDhERkTup2EF1oxsLuru7c+nSpTtalIiIyDXFDqqmTZsyffp0zp8/b2+7cOECs2bNIjAwsESKExERKfbJFGPGjOGll16iZcuWVK1aFScnJ06dOkWNGjWKdeNEERGRW1HsoKpatSobN27kv//9LykpKbi4uFCrVi2aN2+Os/Nt339RRESkQDd1cSiTyUSrVq1o1apVCZUjIiKSl3aFRETE0BRUIiJiaAoqERExNAWViIgYmoJKREQMTUElIiKGpqASERFDU1CJiIihKahERMTQFFQiImJodzWoduzYQceOHXn00UcJDQ1lxYoVwB9XYR80aBCNGzemRYsWrF271v4cm83GrFmzCAoKIiAggClTpnDlyhV7/+bNmwkNDcXf35/evXtz9uxZe19SUhJdu3bF39+f8PBwEhMT7X2FzSkiIsZx14Lq559/ZuDAgfTt25c9e/YwY8YMZs6cybZt23jrrbdwdnZm+/btzJ8/nxkzZpCQkADAypUriYuLIyYmhi1btvDDDz8QHR0NwNGjRxk9ejRTp05l165d1KxZkyFDhgCQnZ1Nv379aNu2Lbt376ZPnz5ERkba751V2JwiImIcdy2o0tPTCQsLIzQ0FGdnZ/z8/AgMDGTnzp3ExsYyePBgzGYz9evX55lnnmHlypUArF+/nhdeeIGHHnqIihUrMnDgQHvfp59+SkhICAEBAbi6ujJ06FD27dvHsWPHSEhIICcnhxdffBEXFxfatWuHt7c3mzdvxmq1FjqniIgYx10LqoCAACZMmGB/fP78efbs2cODDz6Ik5MTtWrVsvd5enqSnJwM/LHX5OXllafv119/5fz58/n6zGYzVapUITk5OV/f9eMeO3as0DlFRMQ4buo2H3fKxYsX6du3Lw0bNuSRRx7BZDLh5ORk7zebzWRlZQGQmZmJ2Wy295UpUwaArKysfH3X+q1WK5mZmfZtrx/XarWSkZFR6JzFValS2Zva3pE8PMo5uoTbovodS/U71r1c/52o/a4HVVpaGv369cPb25t3332XlJQUsrOzsdls9uCwWq1YLBYgf4Bc+9pisRQYLllZWbi5uWGxWLh8+XKevmvjWiyWQucsrrNnL5Gba7M/NvKb6cyZi0Vuo/pLzl+9fiPXDqrfka6v3dnZ6Zb+wL+rZ/3t3r2bLl260Lp1a2bPno2rqys1a9bEZrNx8uRJ+3apqal4e3sD4O3tTVpaWp4+Dw8Pypcvn6/ParXy888/4+XlhZeXV56+68ctak4RETGOuxZUx48f59VXX2XQoEEMHTrUvifj5uZG69atmTFjBhkZGSQlJbF69WoiIiIAiIiIYPHixaSnp3Pu3DmioqJo3749AGFhYWzdupVdu3aRnZ3NjBkzqF+/PrVr16Zp06bYbDaWLl1KTk4OmzZt4vDhw4SGhhY5p4iIGMddW/r7+OOPycjIYObMmcycOdPe/uyzzzJhwgTGjx9PSEgIJpOJPn36EBwcDED37t05e/Ys3bp1Iysri6eeeorBgwcD4OPjw5QpUxg3bhynT5+mYcOGvP/++wCYTCYWLFjAuHHjeP/996lWrRpz586lYsWKAIXOKSIixnHXgmrkyJGMHDnyhv3Xh9f1nJ2dGTRoEIMGDSqwv02bNrRp06bAvrp16/LJJ58U2Ofu7n7DOUVExDh0CSURETE0BZWIiBiagkpERAxNQSUiIoamoBIREUNTUImIiKEpqERExNAUVCIiYmgKKhERMTQFlYiIGJqCSkREDE1BJSIihqagEhERQ1NQiYiIoSmoRETE0BRUIiJiaAoqERExNAWViIgYmoJKREQMTUElIiKGpqASERFDU1CJiIihKahERMTQFFQiImJoCioRETE0BZWIiBiagkpERAxNQSUiIobmkKBKTEwkKCjI/jg7O5s333yTwMBAHnvsMT744IM82y9btoyWLVvSqFEjhg0bRmZmpr0vPj6e8PBw/P396datG8ePH7f3nTp1ipdeeolGjRrRunVrvv3222LPKSIixnBXg8pms7F69WpefvllcnJy7O1RUVGkpaURFxfHmjVriImJYf369QBs27aN6OhoFi1axPbt28nOzmbixIkAnDt3jv79+zNgwAB2795N69atiYyMJDc3F4DXX38dHx8fdu3axcSJExkyZAgnTpwock4RETGOuxpUs2fP5pNPPqFv37552mNiYujTpw/u7u5Uq1aNyMhIVqxYAcD69evp1KkTderUwc3NjaFDh/LZZ5+RkZFBXFwcderUoU2bNri4uNCrVy+ys7PZuXMnaWlpHDhwgEGDBmEymQgKCiIkJIQ1a9YUOaeIiBjHXQ2qbt26sW7dOho0aGBvu3DhAmfOnMHb29veVrt2bZKTkwE4evQoXl5e9r4aNWpgs9k4duxYvr7rn5uSkkKVKlWwWCz2Pk9PTw4fPlzknCIiYhyl7+ZklStXztd27XhTmTJl7G1ms5msrCx7v9lstvc5OTlhMpmwWq35+q6NY7VaycjIyDPm9eMWNWdxVapU9qa2dyQPj3KOLuG2qH7HUv2OdS/Xfydqv6tBVZBrQXP58mV7m9Vqte8J/TlAbDYb2dnZuLm5FRguWVlZWCwWLBZLnjGvH7eoOYvr7NlL5Oba7I+N/GY6c+Zikduo/pLzV6/fyLWD6nek62t3dna6pT/wHX56uru7Ox4eHqSmptrb0tLS7Mty3t7epKWl2fuOHz+OzWajZs2a+foAUlNT8fb2xsvLi1OnTuUJsmt9Rc0pIiLG4fCgAoiIiGDu3LmcO3eOkydPsmjRIiIiIgBo3749q1evJikpiYyMDGbMmEFoaCgWi4XQ0FCSkpLYvHkzOTk5LFq0CGdnZwIDA/H09KRevXrMmjWL7Oxs4uPj2bp1K2FhYUXOKSIixmGIoBo8eDB16tQhLCyMzp0706ZNG7p37w5AcHAwffv2pV+/frRs2RKbzcaECRMAqFSpEtHR0cyfP5/AwEBiY2OJjo7GZDIBf5yCnpKSQlBQEGPGjGHy5MnUrVu3yDlFRMQ4HHKMqmnTpuzZs8f+2NXVlXHjxjFu3LgCt+/Rowc9evQosK9JkyY3/PxTlSpVWLhwYYF9Rc0pIiLGYIg9KhERkRtRUImIiKEpqERExNAUVCIiYmgKKhERMTQFlYiIGJqCSkREDE1BJSIihqagEhERQ1NQiYiIoSmoRETE0BRUIiJiaAoqERExNAWViIgYmoJKREQMTUElIiKGpqASERFDU1CJiIihKahERMTQFFQiImJoCioRETE0BZWIiBiagkpERAxNQSUiIoamoBIREUNTUImIiKEpqERExNDu66BKSkqia9eu+Pv7Ex4eTmJioqNLEhGRP7lvgyo7O5t+/frRtm1bdu/eTZ8+fYiMjOTSpUuOLk1ERK5z3wZVQkICOTk5vPjii7i4uNCuXTu8vb3ZvHmzo0sTEZHrlHZ0AY5y9OhRvLy88rR5enqSnJxc7DGcnZ3ytT30oMdt11YSCqq1IJUrPlDCldya4tb/oHvZEq7k1hS3fo+yZUq4kltTnPorWoxZOxSvfvcy93b9biZj1n997cX9OfgzJ5vNZrtTBd1L5s2bR2JiItHR0fa2SZMmYbVamTx5sgMrExGR6923S38Wi4XLly/nabNarVgsFgdVJCIiBblvg8rLy4u0tLQ8bampqXh7ezuoIhERKch9G1RNmzbFZrOxdOlScnJy2LRpE4cPHyY0NNTRpYmIyHXu22NUAMnJyYwbN46kpCSqVavGqFGjCAoKcnRZIiJynfs6qERExPju26U/ERG5NyioRETE0BRUIiJiaAoqERExNAWVwfxVruiemJh4T55BuWPHDjp27Mijjz5KaGgoK1ascHRJN+Xrr78mPDycRo0a0bp163uufoALFy7QqlUr1q1b5+hSbsqaNWt45JFHaNSokf1fTEyMo8sqtl9//ZV+/frRuHFjmjVrxnvvvefokv6PTQzj8uXLtscff9y2ZMkSW3Z2tu2zzz6zBQQE2C5evOjo0ootNzfXtmrVKlvjxo1tjRs3dnQ5N+XUqVO2Ro0a2bZs2WK7evWq7fvvv7c1adLE9p///MfRpRXL6dOnbQ0aNLB98803NpvNZjtw4IDN19fXduDAAQdXdnNee+01W7169Wxr1651dCk3Zfz48bbp06c7uoxb1qlTJ9vYsWNtWVlZtuPHj9uCg4Ntn376qaPLstlsNpv2qAzkr3BF99mzZ/PJJ5/Qt29fR5dy09LT0wkLCyM0NBRnZ2f8/PwIDAxk3759ji6tWB588EF27txJcHAwubm5nD9/nlKlSuHm5ubo0ootJiaGS5cuUbduXUeXctMOHjxI/fr1HV3GLfn+++85ceIEY8aMwdXVlerVq7Ns2TKaNm3q6NIALf0Zyp24orujdevWjXXr1tGgQQNHl3LTAgICmDBhgv3x+fPn2bNnDw8//LADq7o5ZcuWxWq14uvry8svv0yPHj2oVauWo8sqlhMnTjBnzhymTJni6FJu2tWrVzl8+DAbNmygefPmhIaGMn/+fGz3yMdUDxw4QN26dZkzZw4tWrSgdevWxMXF8eCDDzq6NEBBZSiZmZmU+dOtBsxmM1ar1UEV3bzKlSs7uoQ74uLFi/Tt25eGDRvyxBNPOLqcm+Lq6sp3333HmjVrWLt2LatXr3Z0SUW6evUqb7zxBsOHD8fDw5i3yinMuXPnaNCgAR06dOCrr76yryz8+9//dnRpxfK///2PvXv3Urp0abZu3cqcOXNYvHgxGzdudHRpgILKUHRFd2NIS0ujS5cu/L//9/+YPXs2zs731o+Js7MzJpMJX19funTpwtatWx1dUpHmzZtH7dq1efLJJx1dyi3x8PBg+fLlPP3005hMJurXr89zzz3Hli1bHF1asZhMJsqWLcvAgQMxmUzUq1ePzp07ExcX5+jSAAWVoeiK7o63e/duunTpQuvWrZk9ezaurq6OLqnYEhIS6NixY5627Oxsypcv76CKim/Tpk3ExsYSEBBAQEAAycnJjB8/nrfeesvRpRXLkSNHmD17dp62nJyce+b94+npidVqJTs729529epVB1b0J44+m0P+z+XLl20tW7bMc9Zfo0aNbGfPnnV0aTctPj7+njvr76effrI1atTI9tFHHzm6lFty4cIFW7NmzWyLFy+2XblyxbZ3715bkyZNbLt27XJ0aTctIiLinjrr75dffrH5+/vbVq5cabt69arthx9+sDVr1sz2+eefO7q0YsnKyrK1bNnSNmHCBNvly5dtSUlJtscee8z2xRdfOLo0m82ms/4MxWQysWDBAmJjYwkMDCQ6Opq5c+dSsWJFR5d2X/j444/JyMhg5syZeT4LM336dEeXVizlypVj/vz5bNmyhcDAQMaOHcukSZMIDAx0dGl/eZUrV2bevHmsWLGCxo0bM2jQIPr168dTTz3l6NKKxdXVleXLl3PixAlatGhBr1696NWrF23atHF0aYCuni4iIganPSoRETE0BZWIiBiagkpERAxNQSUiIoamoBIREUNTUImIiKEpqEQc4OTJk3z55Ze3NUZCQgI//vjjLT9/+fLlhISE3FYNIneDgkrEAUaOHMnevXtva4yePXvyyy+/3KGKRIxLQSUiIoamoBIpQStXriQ0NJQGDRrw1FNPsX79ekaMGEFCQgKLFy+2L70dO3aMPn36EBAQQIMGDQgLC8tz1XMfHx/ee+89mjVrRkREBMHBwQD06dOHESNGFKuWxMREunTpQsOGDXnuuec4ffp0nv5jx47Rt29fmjRpQtOmTRkzZgyXLl0iNzeXpk2bsmnTJvu2r7zySp7L6+zfvx8/P7976pY0cu9QUImUkIMHDzJx4kRGjBhBbGwsPXv2ZMSIEbz44os0atSI7t27s2bNGmw2G3369MHNzY2VK1eyYcMG6taty6hRo/JczXrjxo18+OGHvPPOO8TExAAwbdo0Ro8eXWQt58+fp3fv3tSrV49169bRvn17li5dmqf/2WefxcXFhY8//pioqCj27t3LqFGjcHZ25u9//zvx8fHAH1fV3rNnDz/99BO//fYbANu3bycwMBCz2XwHX0GRP5R2dAEif1WnTp3C2dmZv/3tb/ztb3+z3223atWquLi4YDabqVixIlarlWeeeYZOnTpRoUIFAF5++WU2bdrE2bNnqVKlCgBdu3alTp06eeYoX7485cqVK7KWzZs34+LiwptvvomLiwteXl788MMPbN++HYDPPvuM3Nxcpk2bZr9559tvv02XLl1IS0ujZcuWzJ07F/jjbrAPPPAAVatWZe/evbRp04bt27fTrl27O/baiVxPQSVSQlq0aMGjjz5K+/btqVOnDq1ataJjx4757g9lNpvp3r07n332GQcOHCAtLY1Dhw4Bee8JVL169Vuu5ciRI/j4+ODi4mJv8/PzswfVkSNHqF+/fp47TPv6+uLi4kJKSgotWrRgxIgRnDp1il27dhEYGIiLiwt79uyhWbNmJCYmMm3atFuuT6QwCiqRElKmTBmWLFnCvn37+Prrr/nmm2/46KOP+OCDD/Jsl5mZSZcuXXB1dSU0NJSQkBAsFgs9e/bMN97t+PONEq4PrcLGzs3NpVKlSjz88MPEx8eza9cu2rVrh4uLC4sXL2bnzp3UqFGDGjVq3FZ9IjeiY1QiJWTXrl3861//onHjxgwbNozPPvuMhx9+mNjY2DzbJSQkcOzYMf7973/Tp08fWrVqZT/2c6fuwuPj40NSUlKeY17X9trgj7tLJyUlkZWVZW87cOAAOTk5eHp6AtCyZUt27NjB/v37adKkCYGBgSQlJfH555/TqlWrO1KnSEEUVCIlxGw2M3fuXFatWkV6ejrbtm0jNTUVX19f3Nzc+Omnnzh9+jQVKlQgJyeHzZs3k56eTlxcHFOmTAHIEyx/ZrFYOHLkCOfPny+ylnbt2uHs7MyYMWNISUlh48aNrF692t4fHh6Oq6sr//znP0lOTmbPnj2MHj2aZs2a4e3tDfwRVLGxsZQrV47q1atTuXJlqlevzueff24/C1GkJCioREqIn58fkydPZsmSJTz11FO8+eabvPTSS3Tq1Inu3buzb98+IiIi8PPzY8iQIcyYMYN27doxd+5chg8fjru7OwcPHrzh+JGRkcydO7dYZ/2VK1eOpUuXcurUKf7xj3+wePFiXnzxRXu/2Wxm4cKFXLp0ic6dOzNgwAAeffRRoqKi7Ns0bNgQNzc3mjRpYm9r0qQJZrOZxo0b39qLJFIMusOviIgYmvaoRETE0HTWn8g9LjY2tsirU+zYsQOLxXKXKhK5s7T0J3KPy8jIsJ8leCM1atTAycnpLlUkcmcpqERExNB0jEpERAxNQSUiIoamoBIREUNTUImIiKEpqERExND+Pw/9Y+fvRC6pAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyses on the number of trips by hour/day/dow/month\n",
    "start_time_var = ['start_hour', 'start_day', 'start_dow', 'start_month']\n",
    "\n",
    "for i in start_time_var:\n",
    "    sb.countplot(df_clean[i], palette=\"GnBu_d\");\n",
    "    plt.title('Distribution of trips by '+ i)\n",
    "    plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_clean.groupby('start_date').agg({'bike_id':'count'}).plot(figsize=(10,8), legend=False);\n",
    "plt.title('Daily bike trend');\n",
    "plt.ylabel('Number of bikes');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "#### Analyses on the start_time depicts that maximum rides are taken:\n",
    "- Either taken in the mornings 8AM or evenings 5PM. This could very likely be because of people taking rides to work or school.\n",
    "- From Mon-Fri (weekdays) and least rides being on saturdays and sundays which points us to believe the fact that people mostly ride these to works and schools. No other correlation was seen in the number of rides with the day of month otherwise.\n",
    "- In the start of the year maximum being in March-April and least in May-June which could be because of the hot weather. The trend shows decline in the rides either in summer or winter season.\n",
    "- The number of trips were either constant or slowly increasing uptil 11/2018 after which there is a sudden drop till 01/2019 followed by a peak for 2 months. The dip in 04/2019 could probably be explained by the lack of data in last month."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Gender of the member taking ride"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyses on which gender takes more ride\n",
    "base_color = sb.color_palette()[8];\n",
    "ax = sb.countplot(df_clean['member_gender'], order=df_clean['member_gender'].value_counts().index, color=base_color);\n",
    "\n",
    "for p, label in zip(ax.patches, df_clean['member_gender'].value_counts()):\n",
    "    ax.annotate(label, (p.get_x()+0.20, p.get_height()));\n",
    "\n",
    "plt.title('Number of trips distributed by gender');\n",
    "plt.ylabel('trip counts');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Analyses on member gender depicts the number of trips taken by males are ~67% higher than females"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Age of the member taking ride"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31    174820\n",
       "32    148691\n",
       "30    148213\n",
       "29    141104\n",
       "34    136066\n",
       "28    134661\n",
       "26    134034\n",
       "33    132740\n",
       "35    123118\n",
       "27    120616\n",
       "Name: member_age, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyses on the age distribution of riders\n",
    "df_clean['member_age'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Analysing member age shows 25-35 is the age that has taken maximum rides. However, it is tricky to say anything else given the wide range of age which is why it is better to categorize age into different groups to analyze it further."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create age groups\n",
    "base_color = sb.color_palette()[9];\n",
    "ax = sb.countplot(df_clean['member_age_category'], order=df_clean['member_age_category'].value_counts().index, color=base_color);\n",
    "\n",
    "for p, label in zip(ax.patches, df_clean['member_age_category'].value_counts()):\n",
    "    ax.annotate(label, (p.get_x()+0.20, p.get_height()));\n",
    "    \n",
    "plt.title('Number of trips distributed by age category');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Analyses on the age categories show that 68% of the trips are taken by people in the age group of 20-40 (with top 20 being in the age 25-35) with its 1/3rd rides in the age group 40-60. People under 20 have taken the least number of trips."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Station of the trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "San Francisco Ferry Building (Harry Bridges Plaza)           67991\n",
      "San Francisco Caltrain Station 2  (Townsend St at 4th St)    66643\n",
      "Market St at 10th St                                         64551\n",
      "San Francisco Caltrain (Townsend St at 4th St)               59937\n",
      "Berry St at 4th St                                           58722\n",
      "Name: start_station_name, dtype: int64\n",
      "15.0    67991\n",
      "67.0    66643\n",
      "58.0    64551\n",
      "30.0    59937\n",
      "81.0    58722\n",
      "Name: start_station_id, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Which station is the rides most taken in?\n",
    "# As an additional step, verify if station id is unique to station name by 1:1 mapping between id and name\n",
    "df_clean.groupby('start_station_id')['start_station_name'].nunique()\n",
    "\n",
    "# Get the list of top 5 stations\n",
    "print(df_clean['start_station_name'].value_counts().head())\n",
    "print(df_clean['start_station_id'].value_counts().head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Analyses on the station name gives us the top stations with maximum trips which are:\n",
    "- San Francisco Ferry Building (Harry Bridges Plaza)\n",
    "- San Francisco Caltrain Station 2  (Townsend St at 4th St)\n",
    "- Market St at 10th St"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Duration of the trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3.254325e+06\n",
       "mean     1.457204e+01\n",
       "std      4.114245e+01\n",
       "min      1.016667e+00\n",
       "25%      5.850000e+00\n",
       "50%      9.283333e+00\n",
       "75%      1.455000e+01\n",
       "max      1.439483e+03\n",
       "Name: duration_min, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean['duration_min'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How long does the average trip take?\n",
    "# Create bins leaving out extremely high values to see the distribution better\n",
    "bin_edge=np.arange(0,300,5)\n",
    "plt.hist(data=df_clean, x='duration_min', bins=bin_edge);\n",
    "plt.title('Distribution of trip duration (in mins)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    8441.000000\n",
       "mean      672.726565\n",
       "std       331.575309\n",
       "min       300.050000\n",
       "25%       382.216667\n",
       "50%       553.783333\n",
       "75%       931.100000\n",
       "max      1439.483333\n",
       "Name: duration_min, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Having a look at the remaining trips with duration >300\n",
    "df_clean.query('duration_min >=300')['duration_min'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Analyses on trip duration shows an extremely right skewed distribution. 75% of the trips on an average were under 15 min, the remaining majority under 50 mins, and very few extreme values that seem to be outliers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### User type for the member taking a trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Does the ride behavior depend on user being a subscriber or customer?\n",
    "ax = sb.countplot(data=df_clean, x='user_type', order=df_clean['user_type'].value_counts().index);\n",
    "\n",
    "for p, label in zip(ax.patches, df_clean['user_type'].value_counts()):\n",
    "    ax.annotate(label, (p.get_x()+0.30, p.get_height()));\n",
    "plt.title('Number of trips by user type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Analyses on the user type shows significantly more trips for 'Subscribers' than 'Customer' having 82% higher trips."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "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",
    "> Couple of variables show interesting distribution like how the rides are mostly taken on the weekdays and are at peak at 8am and 5 pm. The age group of 20-40 are the ones using the bikes more than any other age group. One very interesting assumption that the analyses point towards is people taking bikes to work and school- which is amazing. Also, the subscribers seems to be using bikes very deligently as compared to other customers. <br> One unusual point was a 2 month drop in the number of trips after 11/2018 which would be an interesting data point to be investigated.\n",
    "\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",
    "> There were a lot of different steps that were followed to clean the data like fixing data types for time related fields, changing few variables to category data type, changing form of the data and/or adding new fields like age category, start hour, start day of week, start month etc. to look at the data through a different lens."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Bivariate Exploration\n",
    "\n",
    "> In this section, we investigate relationships between pairs of variables in the data and see the impact on one from the other."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Check how the number of trips are related to gender and age together"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "member_gender  member_age_category\n",
       "Male           20 - 40                1593286\n",
       "               40 - 60                 565166\n",
       "               Greater than 60          64339\n",
       "               Below 20                 28337\n",
       "Female         20 - 40                 568876\n",
       "               40 - 60                 145333\n",
       "               Greater than 60          12069\n",
       "               Below 20                  9412\n",
       "Other          20 - 40                  35577\n",
       "               40 - 60                  12873\n",
       "               Greater than 60           1080\n",
       "               Below 20                   244\n",
       "Name: member_age_category, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean.groupby('member_gender')['member_age_category'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Both males and females have the highest number of trips in the age range of 20-40 followed by 40-60 and minimum by people under 20."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Relationship between duration of the trip and member age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# How is the trip duration impacted by the age\n",
    "base_color=sb.color_palette()[1]\n",
    "df_sub=df_clean.query('duration_min <=100')\n",
    "sb.violinplot(data=df_sub, x='member_age_category', y='duration_min', color=base_color);\n",
    "plt.title('Trip duration distributed by age category');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "Since 75% of trips are under 15 mins, we have filtered the plot for duration under 100 mins to avoid the graph from misleading. As already seen, there are more number of people in 20-40 and 40-60 taking trips but interestingly people greater than 60 have a slightly higher median of duration that the other age groups. The boxplot within the violin for this group is also slightly higher than the other groups. All age ranges have some outliers and extreme values that pulls the violin tip far above. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Relationship between trip duration and the hour of trip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Average trip duration by hour along with the error bars\n",
    "sb.barplot(data=df_clean, x='start_hour', y='duration_min');\n",
    "plt.title('Trip duration distributed by hour');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "The average trip duration seems to be within 10-20 mins for majority of the hours. The avg. trip duration is slightly lower before 10 am and after 4 pm  which could explain the vicinity (near proximity) of people taking bikes to work and school. <br> One unsual thing is higher trip duration (25-35 mins) from 1 am to 4 am. Although these trips are fewer in number and thus have a high error bars but it will be good to investigate what causes these longer trips - are these simply outliers or errorneous data points."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "#### Relationship of hour of trip and user type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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++y6XX3457du3p3379sycOZNDDjkEgFatWnHPPfew885F70NnZlaSL8SZFLsQ58yZM9l3330bqEUb37x58+jbty+vv/46W22VdWqHDBlCq1atuOiiixqkTfXxHnuCwJbHU5/rT7kX4vQw2hZi5MiRHHzwwVx33XVrA42ZWX3xMNpm7tVXX+XUU09dJ6158+ZMmDBhnbRBgwYxaNCg9fIPGTIkz+aZmQEONpu9Aw44YJ2TNc3MNkUeTzEzs9w52JiZWe4cbMzMLHcONmZmljtPEKiFgy4euVHLm3LD+rPDqnr//fe54IILmDRpEs2bN6djx47cfPPN7LPPPmXX89hjj7HPPvvQuXPnDWmumVmduWezCYsIjj/+ePr27cubb77Ja6+9xq9+9SsWLFhQq3Iee+wxXnvttZxaWdzq1avrtT4z27TlFmwktZA0UdIrkmZIuiql7yVpgqRZkh6QtHVKb55ez07LOxaUdVlKf0PS0QXp/VPabEmXFqQXrWNz88wzz9CsWTPOPffctWldu3Zl9erVfPOb31ybdv755zN8+HAgu49N5X1xLrroIv7+978zatQoLr74Yrp27cqbb77J1KlT6d27N126dOH444/nww8/BKBv375ceOGF9OnTh3333ZdJkyZxwgkn0KlTJ375y1+ure+ee+6hV69edO3alXPOOWdtYGnVqtXaS/G88MIL9fAOmdnmIs+ezUrg8Ig4EOgK9JfUG7geuCkiOgEfAmek9c8APoyILwI3pfWQ1Bk4GdgP6A/8TlITSU2A24BvAJ2B76V1KVHHZmX69OkcdNBBZa+/ZMkSHn30UWbMmMG0adP45S9/yVe+8hUGDBjADTfcwNSpU9l7770ZNGgQ119/PdOmTeOAAw7gqquuWlvG1ltvzfjx4zn33HMZOHAgt912G9OnT2f48OEsXryYmTNn8sADD/C3v/2NqVOn0qRJE+69914gu9nb/vvvz4QJEzj00EM3+vthZpuv3IJNZJanl83SI4DDgYdS+gjguPR8YHpNWn6EsmvfDwTuj4iVEfE2MBvolR6zI+KtiPgMuB8YmPJUV0ejtv3229OiRQvOPPNMHnnkEbbZZpv11lm2bBlLly7l61//OgCDBw9m/Pjxa5cPGDAAyE4W3W+//dh1111p3rw5X/jCF5g7dy5jx45lypQp9OzZk65duzJ27FjeeustAJo0acKJJ55YD1tqZpubXI/ZpB7IVGAhMAZ4E1gaEavSKhXAbun5bsBcgLR8GbBTYXqVPNWl71SijqrtO1vSZEmTFy1atCGbmov99tuPKVOmrJde3T1xmjZtysSJEznxxBN57LHH6N+/f63rbN68OQBbbbXV2ueVr1etWkVEMHjwYKZOncrUqVN544031l7ypkWLFjRp0qTWdZpZ45drsImI1RHRFehA1hMpdnnfystOq5plGyu9WPvuiIgeEdGjXbt2xVZpUIcffjgrV67kj3/849q0SZMmsXr1al577TVWrlzJsmXLGDt2LADLly9n2bJlHHPMMdx8881rL2NTeG+bHXbYgdatW/Pcc88BcPfdd6/t5ZTjiCOO4KGHHlp7b5slS5bwzjvvbJTtNbPGq16mPkfEUknjgN7AjpKapp5HB2BeWq0C2B2okNQU2AFYUpBeqTBPsfQPStSxQcqZqrwxSeLRRx/lggsuYOjQobRo0WLt1OfvfOc7dOnShU6dOtGtWzcAPv74YwYOHMiKFSuICG666SYATj75ZM466yxuueUWHnroIUaMGMG5557Lp59+yhe+8AXuuuuustvUuXNnrr32Wvr168eaNWto1qwZt912G3vuuWcu74GZNQ653c9GUjvg8xRoWgKjyQ7cDwYejoj7Jf0emBYRv5N0HnBARJwr6WTghIj4jqT9gPvIekbtgbFAJ7IezD+AI4D3gEnA9yNihqT/KVZHqfZuCfez2RT5fjaWB9/Ppv6Uez+bPHs2uwIj0qyxrYAHI+IJSa8B90u6FngZuDOtfydwt6TZZD2akwFS8HgQeA1YBZwXEasBJJ0PPA00AYZFxIxU1iXV1GFmZg0gt2ATEdOAbkXS3yLrpVRNXwGcVE1Z1wHXFUl/Cniq3DrMzKxh+AoCZmaWOwcbMzPLnYONmZnlzsHGzMxy51sM1EJ10ynrqtxpmNdddx333XcfTZo0YauttuIPf/gDBx98cNF1hwwZQqtWrbjooos2WjsnT57MyJEjueWWW3Ip38waPwebTdwLL7zAE088wUsvvUTz5s354IMP+Oyzz+qt/lWrVtGjRw969KhxGn2NIoKIYKut3KE229L4v34TN3/+fNq2bbv2OmVt27alffv2dOzYkQ8++ADIeh59+/Zdm+eVV17h8MMPp1OnTmsvdTN//nz69OlD165d2X///dderuYvf/kL3bt358ADD+SII44Ast7R2WefTb9+/Rg0aBDjxo1b55YGxcoHuOGGG+jZsyddunThyiuvBGDOnDnsu+++/Pu//zvdu3dn7tzCy9mZ2ZbCPZtNXL9+/bj66qvZZ599OPLII/nud79b47XMpk2bxosvvsgnn3xCt27dOPbYY/nTn/7E0UcfzS9+8QtWr17Np59+yqJFizjrrLMYP348e+21F0uWLFlbxpQpU3j++edp2bIl48aNq7H86dOnM2vWLCZOnEhEMGDAAMaPH88ee+zBG2+8wV133cXvflfyIg5m1og52GziWrVqxZQpU3juued45pln+O53v8vQoUNL5hk4cCAtW7akZcuWHHbYYUycOJGePXty+umn8/nnn3PcccfRtWtXxo0bR58+fdhrr70AaNOmzdoyBgwYQMuWLcsu//nnn2f06NFrr9O2fPlyZs2axR577MGee+5J7969N9I7YmabIwebzUCTJk3o27cvffv25YADDmDEiBHr3Gag8hYDlbJb+qz7uk+fPowfP54nn3ySU089lYsvvpgdd9xxvXUrbbvtttW2p1j5EcFll13GOeecs86yOXPmlCzLzLYMPmaziXvjjTeYNWvW2tdTp05lzz33pGPHjmvvdfPwww+vk+fxxx9nxYoVLF68mHHjxtGzZ0/eeecddt55Z8466yzOOOMMXnrpJQ455BCeffZZ3n77bYB1htFKKVb+0UcfzbBhw1i+PLtf3nvvvbf2NgRmZu7Z1EJDXDF2+fLl/PjHP2bp0qU0bdqUL37xi9xxxx3MnDmTM844g1/96lfrTYPu1asXxx57LO+++y6XX3457du3Z8SIEdxwww00a9aMVq1aMXLkSNq1a8cdd9zBCSecwJo1a9h5550ZM2ZMjW0qVn779u2ZOXMmhxxyCJAN/91zzz2+mZqZATneYmBz41sMNAzfYsDy4FsM1J9ybzHgYTQzM8udg42ZmeXOwaYGHmbMj99bsy2Hg00JLVq0YPHixf5SzEFEsHjxYlq0aNHQTTGzeuDZaCV06NCBiooKFi1a1NBNaZRatGhBhw4dGroZZlYPHGxKaNas2dqz683MrO48jGZmZrlzsDEzs9x5GM3MLPHJoPnJrWcjaXdJz0iaKWmGpJ+m9CGS3pM0NT2OKchzmaTZkt6QdHRBev+UNlvSpQXpe0maIGmWpAckbZ3Sm6fXs9Pyjnltp5mZ1SzPYbRVwM8iYl+gN3CepM5p2U0R0TU9ngJIy04G9gP6A7+T1ERSE+A24BtAZ+B7BeVcn8rqBHwInJHSzwA+jIgvAjel9czMrIHkNowWEfOB+en5x5JmAruVyDIQuD8iVgJvS5oN9ErLZkfEWwCS7gcGpvIOB76f1hkBDAFuT2UNSekPAf8lSeETZqxMHk4x27jqZYJAGsbqBkxISedLmiZpmKTWKW03oPCewRUprbr0nYClEbGqSvo6ZaXly9L6Vdt1tqTJkib7XBozs/zkHmwktQIeBi6IiI/Ieh57A13Jej6/qVy1SPaoQ3qpstZNiLgjInpERI927dqV3A4zM6u7XIONpGZkgebeiHgEICIWRMTqiFgD/JF/DZVVALsXZO8AzCuR/gGwo6SmVdLXKSst3wEo785gZma20eU5G03AncDMiPjPgvRdC1Y7Hpieno8CTk4zyfYCOgETgUlApzTzbGuySQSj0vGXZ4Bvp/yDgccLyhqcnn8b+KuP15iZNZw8z7P5KnAq8KqkqSnt52SzybqSDWvNAc4BiIgZkh4EXiObyXZeRKwGkHQ+8DTQBBgWETNSeZcA90u6FniZLLiR/t6dJhksIQtQZmbWQPKcjfY8xY+dPFUiz3XAdUXSnyqWL81Q61UkfQVwUm3aa2Zm+fHlaszMLHcONmZmljsHGzMzy52DjZmZ5c7BxszMcudgY2ZmuXOwMTOz3DnYmJlZ7hxszMwsdw42ZmaWOwcbMzPLnYONmZnlzsHGzMxy52BjZma5c7AxM7PcOdiYmVnuHGzMzCx3DjZmZpY7BxszM8udg42ZmeXOwcbMzHLXtKEbYGZWnXevPqBo+h5XvFrPLbENlVvPRtLukp6RNFPSDEk/TeltJI2RNCv9bZ3SJekWSbMlTZPUvaCswWn9WZIGF6QfJOnVlOcWSSpVh5mZNYw8h9FWAT+LiH2B3sB5kjoDlwJjI6ITMDa9BvgG0Ck9zgZuhyxwAFcCBwO9gCsLgsftad3KfP1TenV1mJlZA8gt2ETE/Ih4KT3/GJgJ7AYMBEak1UYAx6XnA4GRkXkR2FHSrsDRwJiIWBIRHwJjgP5p2fYR8UJEBDCySlnF6jAzswZQLxMEJHUEugETgF0iYj5kAQnYOa22GzC3IFtFSiuVXlEknRJ1mJlZA8g92EhqBTwMXBARH5VatUha1CG9Nm07W9JkSZMXLVpUm6xmZlYLuQYbSc3IAs29EfFISl6QhsBIfxem9Apg94LsHYB5NaR3KJJeqo51RMQdEdEjInq0a9eubhtpZmY1ynM2moA7gZkR8Z8Fi0YBlTPKBgOPF6QPSrPSegPL0hDY00A/Sa3TxIB+wNNp2ceSeqe6BlUpq1gdZmbWAPI8z+arwKnAq5KmprSfA0OBByWdAbwLnJSWPQUcA8wGPgV+CBARSyRdA0xK610dEUvS8x8Bw4GWwJ/TgxJ1mJlZAygr2EgaGxFH1JRWKCKep/hxFYD18qUZZedVU9YwYFiR9MnA/kXSFxerw8zMGkbJYCOpBbAN0DYNYVUGj+2B9jm3zczMGomaejbnABeQBZYp/CvYfATclmO7zMysESkZbCLit8BvJf04Im6tpzaZmVkjU9Yxm4i4VdJXgI6FeSJiZE7tMjOzRqTcCQJ3A3sDU4HVKbnyEjFmZmYllTv1uQfQOc0YMzMzq5VyT+qcDvxbng0xM7PGq9yeTVvgNUkTgZWViRExIJdWmZlZo1JusBmSZyPMzKxxK3c22rN5N8TMzBqvcmejfcy/Lt+/NdAM+CQits+rYWZm1niU27PZrvC1pOPIbtFsZmZWozrdYiAiHgMO38htMTOzRqrcYbQTCl5uRXbejc+5MTOzspQ7G+1bBc9XAXOAgRu9NWZm1iiVe8zmh3k3xMzMGq+yjtlI6iDpUUkLJS2Q9LCkDnk3zszMGodyJwjcBYwiu6/NbsD/pjQzM7MalXvMpl1EFAaX4ZIuyKNBZtV59+oD1kvb44pXG6AlZlZb5fZsPpD0A0lN0uMHwOI8G2ZmZo1HucHmdOA7wPvAfODbgCcNmJlZWcodRrsGGBwRHwJIagPcSBaEzMzMSiq3Z9OlMtAARMQSoFupDJKGpdlr0wvShkh6T9LU9DimYNllkmZLekPS0QXp/VPabEmXFqTvJWmCpFmSHpC0dUpvnl7PTss7lrmNZmaWk3J7NltJal2lZ1NT3uHAf7H+raNviogbCxMkdQZOBvYjm/H2/yTtkxbfBhwFVACTJI2KiNeA61NZ90v6PXAGcHv6+2FEfFHSyWm975a5nWZmtVZs8gp4Akuhcns2vwH+LukaSVcDfwd+XSpDRIwHlpRZ/kDg/ohYGRFvA7PJLvTZC5gdEW9FxGfA/cBASSK7NttDKf8I4LiCskak5w8BR6T1zcysgZQVbCJiJHAisABYBJwQEXfXsc7zJU1Lw2ytU9puwNyCdSpSWnXpOwFLI2JVlfR1ykrLl6X1zcysgZR91eeiAx0BAAARf0lEQVSIeC0i/isibk3DWHVxO7A30JVsVttvUnqxnkfUIb1UWeuRdLakyZImL1q0qFS7zcxsA9TpFgN1FRELImJ1RKwB/si/7olTAexesGoHYF6J9A+AHSU1rZK+Tllp+Q5UM5wXEXdERI+I6NGuXbsN3TwzM6tGvQYbSbsWvDweqJypNgo4Oc0k2wvoBEwEJgGd0syzrckmEYyKiACeITvfB2Aw8HhBWYPT828Df03rm5lZAyl3NlqtSfoT0BdoK6kCuBLoK6kr2bDWHOAcgIiYIelB4DWyWxicFxGrUznnA08DTYBhETEjVXEJcL+ka4GXgTtT+p3A3ZJmk/VoTs5rG83MrDy5BZuI+F6R5DuLpFWufx1wXZH0p4CniqS/RZFbU0fECuCkWjXWzMxyVa/DaGZmtmVysDEzs9w52JiZWe4cbMzMLHcONmZmljsHGzMzy52DjZmZ5S6382zMzCr5Evzmno2ZmeXOwcbMzHLnYGNmZrlzsDEzs9x5goDZZswH3m1z4WBjthH5y9+sOA+jmZlZ7tyzMdsCuQdm9c09GzMzy52DjZmZ5c7BxszMcudgY2ZmufMEATMrmycWWF052JhtAvwlbo1dbsNokoZJWihpekFaG0ljJM1Kf1undEm6RdJsSdMkdS/IMzitP0vS4IL0gyS9mvLcIkml6jAzs4aT5zGb4UD/KmmXAmMjohMwNr0G+AbQKT3OBm6HLHAAVwIHA72AKwuCx+1p3cp8/Wuow8zMGkhuwSYixgNLqiQPBEak5yOA4wrSR0bmRWBHSbsCRwNjImJJRHwIjAH6p2XbR8QLERHAyCplFavDzMwaSH3PRtslIuYDpL87p/TdgLkF61WktFLpFUXSS9VhZmYNZFOZ+qwiaVGH9NpVKp0tabKkyYsWLaptdjMzK1N9z0ZbIGnXiJifhsIWpvQKYPeC9ToA81J63yrp41J6hyLrl6pjPRFxB3AHQI8ePWodrMzMNsSWNAuxvns2o4DKGWWDgccL0gelWWm9gWVpCOxpoJ+k1mliQD/g6bTsY0m90yy0QVXKKlaHmZk1kNx6NpL+RNYraSupgmxW2VDgQUlnAO8CJ6XVnwKOAWYDnwI/BIiIJZKuASal9a6OiMpJBz8im/HWEvhzelCiDjMzayC5BZuI+F41i44osm4A51VTzjBgWJH0ycD+RdIXF6vDzMwazqYyQcDMzBoxBxszM8udg42ZmeXOwcbMzHLnYGNmZrlzsDEzs9w52JiZWe4cbMzMLHcONmZmljsHGzMzy52DjZmZ5c7BxszMcudgY2ZmuXOwMTOz3NX3nTrNzGwDFbvD56Z+d0/3bMzMLHcONmZmljsHGzMzy52DjZmZ5c7BxszMcudgY2ZmufPUZ6t3m+O0TTPbMO7ZmJlZ7hok2EiaI+lVSVMlTU5pbSSNkTQr/W2d0iXpFkmzJU2T1L2gnMFp/VmSBhekH5TKn53yqv630szMKjVkz+awiOgaET3S60uBsRHRCRibXgN8A+iUHmcDt0MWnIArgYOBXsCVlQEqrXN2Qb7++W+OmZlVZ1M6ZjMQ6JuejwDGAZek9JEREcCLknaUtGtad0xELAGQNAboL2kcsH1EvJDSRwLHAX+uty0xs3px0MUji6Y/ul09N8Rq1FA9mwBGS5oi6eyUtktEzAdIf3dO6bsBcwvyVqS0UukVRdLXI+lsSZMlTV60aNEGbpKZmVWnoXo2X42IeZJ2BsZIer3EusWOt0Qd0tdPjLgDuAOgR48eRdcxM7MN1yA9m4iYl/4uBB4lO+ayIA2Pkf4uTKtXALsXZO8AzKshvUORdDMzayD13rORtC2wVUR8nJ73A64GRgGDgaHp7+MpyyjgfEn3k00GWBYR8yU9DfyqYFJAP+CyiFgi6WNJvYEJwCDg1vraPjOrm2LHX3zsZeNqyHPcGmIYbRfg0TQbuSlwX0T8RdIk4EFJZwDvAiel9Z8CjgFmA58CPwRIQeUaYFJa7+rKyQLAj4DhQEuyiQGeHGBm1oDqPdhExFvAgUXSFwNHFEkP4LxqyhoGDCuSPhnYf4Mba2a1tjn0UDyLrf75CgJmZpa7Tek8GzPLQV17GptDD8U2Hw42ZpsJf/nb5szDaGZmljsHGzMzy52H0czqmYfDbEvkno2ZmeXOPRtrNHzuhNmmy8HGtnieGmzl2lJ/0GyMy9x4GM3MzHLnYGNmZrlzsDEzs9w52JiZWe4cbMzMLHcONmZmljtPfbY6a8i7/pltTrbUKdOFHGzKUOxLFfzFamZWLgcb2+T4V6BZpjH9L/iYjZmZ5c49GzOzRmZT7BE52OTIB9DNzDIONmZmBuTbI2q0wUZSf+C3QBPgvyNiaAM3qWz13SPKq75NsStvZg2jUQYbSU2A24CjgApgkqRREfFaqXyb+5ejh+3MbFPVKIMN0AuYHRFvAUi6HxgIlAw2dVXXIFXf+epqcw/CZtbwFBEN3YaNTtK3gf4RcWZ6fSpwcEScX2W9s4Gz08svAW9UU2Rb4IM6NMX5Nt98m0Mbnc/5NoV8e0ZEuxpLiIhG9wBOIjtOU/n6VODWDShvsvNtWfk2hzY6n/Nt6vkKH431pM4KYPeC1x2AeQ3UFjOzLV5jDTaTgE6S9pK0NXAyMKqB22RmtsVqlBMEImKVpPOBp8mmPg+LiBkbUOQdzrfF5dsc2uh8zrep51urUU4QMDOzTUtjHUYzM7NNiIONmZnlzsGmBEn9Jb0habakS2uRb5ikhZKm1yLP7pKekTRT0gxJPy0zXwtJEyW9kvJdVW6dKX8TSS9LeqIWeeZIelXSVEmTa5FvR0kPSXo9bechZeT5Uqqn8vGRpAvKrO/C9J5Ml/QnSS3KzPfTlGdGqbqKfc6S2kgaI2lW+tu6zHwnpfrWSOpRi/puSO/nNEmPStqxzHzXpDxTJY2W1L6cfAXLLpIUktqWWd8QSe8VfI7HlFufpB+n/8MZkn5dZn0PFNQ1R9LUMvN1lfRi5b4tqVeZ+Q6U9EL6v/hfSdtXyVP0/7um/aVEvpL7S4l8JfeXEvlq3F9qtKFzpxvrg2xiwZvAF4CtgVeAzmXm7QN0B6bXor5dge7p+XbAP8qpDxDQKj1vBkwAetei3v8D3Ac8UYs8c4C2dXhPRwBnpudbAzvW4TN5n+wksprW3Q14G2iZXj8InFZGvv2B6cA2ZBNo/h/QqdzPGfg1cGl6filwfZn59iU7sXgc0KMW9fUDmqbn19eivu0Lnv8E+H25+zHZaQVPA+8U2w+qqW8IcFEN732xfIelz6B5er1zue0sWP4b4Ioy6xsNfCM9PwYYV2a+ScDX0/PTgWuq5Cn6/13T/lIiX8n9pUS+kvtLiXw17i81Pdyzqd7aS95ExGdA5SVvahQR44EltaksIuZHxEvp+cfATLIvzJryRUQsTy+bpUdZsz4kdQCOBf67Nm2ti/RLrw9wJ0BEfBYRS2tZzBHAmxHxTpnrNwVaSmpKFjzKOddqX+DFiPg0IlYBzwLHF1uxms95IFlQJf09rpx8ETEzIqq7gkWpfKNTOwFeJDunrJx8HxW83JYi+0yJ/fgm4P8Wy1NDvpKqyfcjYGhErEzrLKxNfZIEfAf4U5n5AqjslexAkX2mmnxfAsan52OAE6vkqe7/u+T+Ul2+mvaXEvlK7i8l8tW4v9TEwaZ6uwFzC15XUMaX/8YgqSPQjayXUs76TdIwwUJgTESUlQ+4mexLY00tmxjAaElTlF3ypxxfABYBdykbtvtvSdvWst6TKfKlUbSBEe8BNwLvAvOBZRExuoys04E+knaStA3Zr9vda8hTaJeImJ/aMB/YuRZ5N9TpwJ/LXVnSdZLmAqcAV5SZZwDwXkS8Uof2nZ+GYoYVG16sxj7A1yRNkPSspJ61rPNrwIKImFXm+hcAN6T35UbgsjLzTQcGpOcnUWKfqfL/Xfb+UtvvhTLyldxfquary/5SyMGmeiqSlvs8cUmtgIeBC6r8mqhWRKyOiK5kv1J6Sdq/jHq+CSyMiCl1aOZXI6I78A3gPEl9ysjTlGzo4faI6AZ8QjZsUBZlJ+cOAP6nzPVbk/1q3AtoD2wr6Qc15YuImWTDC2OAv5ANn64qmWkTIOkXZO28t9w8EfGLiNg95Tm/pvVT8P0FdfiiAW4H9ga6kgX/35SZrynQGugNXAw8mHor5foeZf5ASX4EXJjelwtJPfEynE72vzCFbPjps2Ir1eX/O498Ne0vxfLVdn+pysGmevV+yRtJzcg+4Hsj4pHa5k/DUuOA/mWs/lVggKQ5ZEOEh0u6p8x65qW/C4FHyYYca1IBVBT0uh4iCz7l+gbwUkQsKHP9I4G3I2JRRHwOPAJ8pZyMEXFnRHSPiD5kwyXl/ioGWCBpV4D0d71hn41N0mDgm8ApkQbVa+k+qgz7VGNvsuD9StpvOgAvSfq3mjJGxIL0o2gN8EfK22cg228eScPFE8l64etNSigmDZ+eADxQZl0Ag8n2Fch+2JTVzoh4PSL6RcRBZMHtzSLtKfb/XeP+Utfvhery1bS/lFFfufvLOhxsqlevl7xJv9buBGZGxH/WIl+7yhklklqSfcm+XlO+iLgsIjpEREeybftrRNT4y1/StpK2q3xOdsCxxll3EfE+MFfSl1LSEdTulg+1/YX6LtBb0jbpvT2CbPy5RpJ2Tn/3IPuyqk29o8i+sEh/H69F3lpTdpPAS4ABEfFpLfJ1Kng5gPL2mVcjYueI6Jj2mwqyg8nvl1HfrgUvj6eMfSZ5DDg8lbEP2cSScq9afCTwekRUlLk+ZD8ov56eH06ZPzQK9pmtgF8Cv6+yvLr/75L7ywZ8LxTNV9P+UiJfrfeX9VSdMeDHOjMzjiGbjfEm8Ita5PsT2VDB52T/kGeUkedQsmG6acDU9DimjHxdgJdTvukUmXVTRhl9KXM2Gtmxl1fSY0Yt35euwOTU1seA1mXm2wZYDOxQy+26Kv1TTAfuJs1oKiPfc2SB8BXgiNp8zsBOwFiyL6mxQJsy8x2fnq8EFgBPl5lvNtmxxcp9ptissmL5Hk7vyzTgf8kOAtdqP6aaWYnV1Hc38GqqbxSwa5n5tgbuSW19CTi83HYCw4Fza/n5HQpMSZ/9BOCgMvP9lOy74h/AUNLVWWr6/65pfymRr+T+UiJfyf2lRL4a95eaHr5cjZmZ5c7DaGZmljsHGzMzy52DjZmZ5c7BxszMcudgY2ZmuXOwMTOz3DnYmG1kki5Il3apbb7Tarp0u7LL5Zd1Br3ZpsTBxmzju4DsRNSySWoCnEZ2Hbd6pYy/CyxX3sHMNkC6fM+Tym5eN13SlWQB4xlJz6R1bld2I651bm6XeilXSHqe7HI8PYB70w2qWpao9seSXlJ2o64vp7LaSHosXVX5RUldUvoQSRcV1DldUsf0mCnpd2Rn5tfmytZmteZgY7Zh+gPzIuLAiNif7LYN84DDIuKwtM4vIqIH2aWFvl4ZCJIVEXFoRNxDdimfUyKia0T8s0SdH0R21e3bgcpAchXwckR0AX4OjCyj7V8CRkZEtyj/HkFmdeJgY7ZhXgWOlHS9pK9FxLIi63xH0ktk17Dbj+zOh5Vqc0XiSpVX4p0CdEzPDyW7/hgR8VdgJ0k71FDOOxHxYh3qN6u1pg3dALPNWUT8Q9JBZBcr/A9J69ygTdJeZL2PnhHxoaThQIuCVT6pQ7Ur09/V/Ot/uLr7L61i3R+VG1q3WZ24Z2O2AdLssU/TMNiNZPfo+ZjsBlqQ3WL4E2CZpF3I7stTncJ8tTWe7A6KSOpLNtT2EdmVmbun9O5k96Mxq3fu2ZhtmAPIbiO8huyS8z8CDgH+LGl+RBwm6WWy2zG8BfytRFnDgd9L+idwSA3HbaoaQnbL7WnAp/zrHikPA4OU3TZ8Etkl8M3qnW8xYGZmufMwmpmZ5c7DaGabIEmPsv7xlUsi4umGaI/ZhvIwmpmZ5c7DaGZmljsHGzMzy52DjZmZ5c7BxszMcvf/AYZL/xKRl9c+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyses if hour of trip is dependent upon the user_type\n",
    "sb.countplot(data = df_clean, x='start_hour', hue='user_type');\n",
    "plt.title('Number of trips by hour and user type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "As seen earlier, trips were higher during the mornings and evenings, we now can see how evident it is at 8 am and 5 pm. Also, one additional piece of information we get from this graph is that these higher number of trips are all because of the subscribers which supports our original hypothesis of them riding bikes to work / school. Customers on the other hand have more consistent rides from 8 am - 6 pm (neglible increase when compared to subscribers). These customers could be one time riders, tourists, people riding for fun or trying out bikes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Relationship between station and user type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create another dataframe with top 20 stations based on number of trips\n",
    "df_temp = df_clean.groupby('start_station_name', as_index=False).agg({'bike_id':'count'})\\\n",
    "        .sort_values(by='bike_id', ascending=False).iloc[:20,]\n",
    "df_top20 = df_clean[df_clean[\"start_station_name\"].isin(df_temp[\"start_station_name\"])==True]\n",
    "\n",
    "# Plot the number of rides by user_type for the top 20 stations\n",
    "plt.figure(figsize=[14,6]);\n",
    "g = sb.countplot(data=df_top20, y='start_station_name', hue='user_type', \\\n",
    "                 order=df_top20['start_station_name'].value_counts().index);\n",
    "g.set_xticklabels(g.get_xticklabels());\n",
    "plt.title('Number of trips by station and user type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Subsrcibers have more consistent trip stations. This strengthens our hypothesis that they might be riding on weekdays to their work or school. However, we do not see the same pattern in customers but instead see a more random behavior."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "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",
    "> Couple of significant relationships were observed in this section. A strong relationship was seen between the hour of the trip and trip duration i.e. the duration is consistant during the day and higher from 1am to 4am. Another strong relationship was seen in the hour of the trip and user type showing that the subscribers mainly use it at 8am or 5pm while other customers use to pretty consistently through out the day. Lastly, a relation between start station of the trip and user type was seen concluding the subsrcibers have fixed destinations every morning and then back home. \n",
    "\n",
    "### Did you observe any interesting relationships between the other features (not the main feature(s) of interest)?\n",
    "\n",
    "> One interesting and unusual observation was a higher trip duration (25-35 mins) from 1 am to 4 am which should be further investigated. Another, interesting data point is higher median trip duration for people greater than 60 years."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## Multivariate Exploration\n",
    "\n",
    "> Create plots of three or more variables to investigate the data even further."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Relationship between hour of the trip, trip duration and user type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sb.pointplot(data=df_clean, x='start_hour', y='duration_min', hue='user_type');\n",
    "plt.title('Average trip duration by hour and user type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "This gives us additional piece of information that the average trip duration that was high from 1am to 4am and highest at 3 am was because of customers and not subscribers. Unlike subscribers who are more regularly taking rides, customers seems to be one-time riders."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "#### Relationship between age category, gender, and days of week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Male, Male, Female, Male, Female, ..., Male, Male, Male, Male, Male]\n",
       "Length: 2986818\n",
       "Categories (2, object): [Male, Female]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a df with only male and female \n",
    "df_mf = df_clean.query(\"member_gender in ['Male','Female']\")\n",
    "df_mf['member_gender'].unique()\n",
    "df_mf['member_gender'] = df_mf['member_gender'].cat.remove_unused_categories()\n",
    "df_mf['member_gender'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1158.58x595.44 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# See number of trips across days of trip by age groups and gender\n",
    "\n",
    "height = 8.27\n",
    "aspect = (14.70/4)/(8.27)\n",
    "sb.set(font_scale=1.2)\n",
    "\n",
    "g=sb.FacetGrid(data=df_mf, col='member_age_category', hue='member_gender', margin_titles=True, \\\n",
    "               height=height, aspect=aspect)\n",
    "g.map(sb.countplot, 'start_dow');\n",
    "g.set_xticklabels(['Mon','Tue','Wed','Thur','Fri','Sat','Sun'], fontsize=14);\n",
    "g.fig.suptitle('Number of trips across days of week by age category, and gender', y=1.05, fontsize=20);\n",
    "g.add_legend();\n",
    "\n",
    "for i in range(4):\n",
    "    g.axes[0,i].set_xlabel('Trip day of week', fontsize=18);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Looking at these fields together in this plot, explains that majority of the trips are taken by males within the age of 20-40 closely followed by males between 40-60 and females between 20-40. Majority of the trips are taken in the mornings and evenings on the weekdays [Mon-Fri]. While all the other graphs with other categories hardly have any data points."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "\n",
    "### 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",
    "> This section helped answer some of the questions we had in the previous sections like which group of people drives mostly at past midnight and have longer trip durations. It also strengthed the relationship we had seen previously acoss age, gender, and days of week.\n",
    "\n",
    "### Were there any interesting or surprising interactions between features?\n",
    "\n",
    "> Surprisingly there are enough number of trips in the 40-60 age group and especially for males. Another surprising outcome is extremely low number of trips for people under 20. <br> Although we were able to unveil the group riding bikes at 3am but its still surprising to see people do that. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "- Most of the trips were taken during the weekdays and were at peak duing the mornings 8am and evenings 5pm. We also observed that the trips were dropped during summers (May-June) and winters (Nov-Dec). A drop in the trips was also seen around 11/2018 which were again picked up after 01/2019. <br> \n",
    "- Further, males had ~67% higher trips than females and age group 20-40 had 68% of the total trips.<br>\n",
    "- Top 3 stations were spotted that had way too many trips when compared to others meaning these stations were most frequently visited. \n",
    "- The comparison between subscribers and customers showed subscribers having 82% of the trips which could be related back to high trips on weekdays 8 am and 5 pm and to same stations. An hypothesis could be generated here that most of the subscribers take daily trips to the work or schools. \n",
    "- Avg. trip duration for 75% of the trips were within 15 mins which could mean subscribers either live close to their destination or drive to the start station for a shorter trip. The avg. duration for customers however, was quite high and especially from 1am to 4am we observed 25-35 min trip which could mean they mostly are exploring the bikes or are one-time riders."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "## References\n",
    "https://stackoverflow.com/questions/20906474/import-multiple-csv-files-into-pandas-and-concatenate-into-one-dataframe <br>\n",
    "https://github.com/pandas-dev/pandas/issues/11166 <br>\n",
    "https://forums.fast.ai/t/how-to-remove-ipynb-checkpoint/8532/47 <br>\n",
    "https://github.com/mwaskom/seaborn/issues/867 <br>\n",
    "https://stackoverflow.com/questions/18250298/how-to-check-if-a-value-is-in-the-list-in-selection-from-pandas-data-frame <br>\n",
    "https://stackoverflow.com/questions/41236370/what-is-as-index-in-groupby-in-pandas <br>\n",
    "https://stackoverflow.com/questions/31594549/how-do-i-change-the-figure-size-for-a-seaborn-plot <br>\n",
    "https://stackoverflow.com/questions/29813694/how-to-add-a-title-to-seaborn-facet-plot <br>"
   ]
  }
 ],
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