data_cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "985dd579",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import dependencies\n",
    "import pandas as pd\n",
    "import os\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "72747fde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>ride_id</th>\n",
       "      <th>rideable_type</th>\n",
       "      <th>started_at</th>\n",
       "      <th>ended_at</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>start_lat</th>\n",
       "      <th>start_lng</th>\n",
       "      <th>end_lat</th>\n",
       "      <th>end_lng</th>\n",
       "      <th>member_casual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D68047AAA9A72501</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-12 18:14:45</td>\n",
       "      <td>2022-08-12 18:21:23</td>\n",
       "      <td>Columbus Drive</td>\n",
       "      <td>JC014</td>\n",
       "      <td>Hamilton Park</td>\n",
       "      <td>JC009</td>\n",
       "      <td>40.718355</td>\n",
       "      <td>-74.038914</td>\n",
       "      <td>40.727596</td>\n",
       "      <td>-74.044247</td>\n",
       "      <td>member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E5B82A9F588A7650</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-19 01:04:39</td>\n",
       "      <td>2022-08-19 01:14:10</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>8 St &amp; Washington St</td>\n",
       "      <td>HB603</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.745984</td>\n",
       "      <td>-74.028199</td>\n",
       "      <td>member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13D19CCBCC9D7B76</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-19 18:13:45</td>\n",
       "      <td>2022-08-19 19:32:47</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>11 St &amp; Washington St</td>\n",
       "      <td>HB502</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.749985</td>\n",
       "      <td>-74.027150</td>\n",
       "      <td>member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA0DBFF220DA98F6</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-21 13:43:05</td>\n",
       "      <td>2022-08-21 13:53:13</td>\n",
       "      <td>Columbus Drive</td>\n",
       "      <td>JC014</td>\n",
       "      <td>Montgomery St</td>\n",
       "      <td>JC099</td>\n",
       "      <td>40.718355</td>\n",
       "      <td>-74.038914</td>\n",
       "      <td>40.719420</td>\n",
       "      <td>-74.050990</td>\n",
       "      <td>member</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8F11D340492FCD32</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>2022-08-04 22:02:12</td>\n",
       "      <td>2022-08-04 22:21:31</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>Pershing Field</td>\n",
       "      <td>JC024</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.742677</td>\n",
       "      <td>-74.051789</td>\n",
       "      <td>member</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ride_id  rideable_type           started_at             ended_at  \\\n",
       "0  D68047AAA9A72501   classic_bike  2022-08-12 18:14:45  2022-08-12 18:21:23   \n",
       "1  E5B82A9F588A7650   classic_bike  2022-08-19 01:04:39  2022-08-19 01:14:10   \n",
       "2  13D19CCBCC9D7B76   classic_bike  2022-08-19 18:13:45  2022-08-19 19:32:47   \n",
       "3  AA0DBFF220DA98F6   classic_bike  2022-08-21 13:43:05  2022-08-21 13:53:13   \n",
       "4  8F11D340492FCD32  electric_bike  2022-08-04 22:02:12  2022-08-04 22:21:31   \n",
       "\n",
       "                             start_station_name start_station_id  \\\n",
       "0                                Columbus Drive            JC014   \n",
       "1  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "2  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "3                                Columbus Drive            JC014   \n",
       "4  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "\n",
       "        end_station_name end_station_id  start_lat  start_lng    end_lat  \\\n",
       "0          Hamilton Park          JC009  40.718355 -74.038914  40.727596   \n",
       "1   8 St & Washington St          HB603  40.736982 -74.027781  40.745984   \n",
       "2  11 St & Washington St          HB502  40.736982 -74.027781  40.749985   \n",
       "3          Montgomery St          JC099  40.718355 -74.038914  40.719420   \n",
       "4         Pershing Field          JC024  40.736982 -74.027781  40.742677   \n",
       "\n",
       "     end_lng member_casual  \n",
       "0 -74.044247        member  \n",
       "1 -74.028199        member  \n",
       "2 -74.027150        member  \n",
       "3 -74.050990        member  \n",
       "4 -74.051789        member  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# list all the files to read from Aug 2022 to July 2023\n",
    "files_2022_2023 = [\"data/JC-202208-citibike-tripdata.csv\",\n",
    "                \"data/JC-202209-citibike-tripdata.csv\",\n",
    "                \"data/JC-202210-citibike-tripdata.csv\",\n",
    "                \"data/JC-202211-citibike-tripdata.csv\",\n",
    "                \"data/JC-202212-citibike-tripdata.csv\",\n",
    "                \"data/JC-202301-citibike-tripdata.csv\",\n",
    "                \"data/JC-202302-citibike-tripdata.csv\",\n",
    "                \"data/JC-202303-citibike-tripdata.csv\",\n",
    "                \"data/JC-202304-citibike-tripdata.csv\",\n",
    "                \"data/JC-202305-citibike-tripdata.csv\",\n",
    "                \"data/JC-202306-citibike-tripdata.csv\",\n",
    "                \"data/JC-202307-citibike-tripdata.csv\"]\n",
    "\n",
    "# Create an empty list to store the dataframes\n",
    "files_list = []\n",
    "\n",
    "# loop through each of the files\n",
    "for file in files_2022_2023:\n",
    "    \n",
    "    # read multiple files in a df\n",
    "    df = pd.read_csv(file)\n",
    "    \n",
    "    # append the df to the list\n",
    "    files_list.append(df)\n",
    "    \n",
    "df = pd.concat(files_list)\n",
    "    \n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fcfd0944",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(981011, 13)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b4f66792",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "    .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>ride_id</th>\n",
       "      <th>rideable_type</th>\n",
       "      <th>started_at</th>\n",
       "      <th>ended_at</th>\n",
       "      <th>start_station_name</th>\n",
       "      <th>start_station_id</th>\n",
       "      <th>end_station_name</th>\n",
       "      <th>end_station_id</th>\n",
       "      <th>start_lat</th>\n",
       "      <th>start_lng</th>\n",
       "      <th>end_lat</th>\n",
       "      <th>end_lng</th>\n",
       "      <th>member_casual</th>\n",
       "      <th>start_time</th>\n",
       "      <th>end_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>D68047AAA9A72501</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-12 18:14:45</td>\n",
       "      <td>2022-08-12 18:21:23</td>\n",
       "      <td>Columbus Drive</td>\n",
       "      <td>JC014</td>\n",
       "      <td>Hamilton Park</td>\n",
       "      <td>JC009</td>\n",
       "      <td>40.718355</td>\n",
       "      <td>-74.038914</td>\n",
       "      <td>40.727596</td>\n",
       "      <td>-74.044247</td>\n",
       "      <td>member</td>\n",
       "      <td>18:14:45</td>\n",
       "      <td>18:21:23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>E5B82A9F588A7650</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-19 01:04:39</td>\n",
       "      <td>2022-08-19 01:14:10</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>8 St &amp; Washington St</td>\n",
       "      <td>HB603</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.745984</td>\n",
       "      <td>-74.028199</td>\n",
       "      <td>member</td>\n",
       "      <td>01:04:39</td>\n",
       "      <td>01:14:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13D19CCBCC9D7B76</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-19 18:13:45</td>\n",
       "      <td>2022-08-19 19:32:47</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>11 St &amp; Washington St</td>\n",
       "      <td>HB502</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.749985</td>\n",
       "      <td>-74.027150</td>\n",
       "      <td>member</td>\n",
       "      <td>18:13:45</td>\n",
       "      <td>19:32:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA0DBFF220DA98F6</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>2022-08-21 13:43:05</td>\n",
       "      <td>2022-08-21 13:53:13</td>\n",
       "      <td>Columbus Drive</td>\n",
       "      <td>JC014</td>\n",
       "      <td>Montgomery St</td>\n",
       "      <td>JC099</td>\n",
       "      <td>40.718355</td>\n",
       "      <td>-74.038914</td>\n",
       "      <td>40.719420</td>\n",
       "      <td>-74.050990</td>\n",
       "      <td>member</td>\n",
       "      <td>13:43:05</td>\n",
       "      <td>13:53:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8F11D340492FCD32</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>2022-08-04 22:02:12</td>\n",
       "      <td>2022-08-04 22:21:31</td>\n",
       "      <td>South Waterfront Walkway - Sinatra Dr &amp; 1 St</td>\n",
       "      <td>HB103</td>\n",
       "      <td>Pershing Field</td>\n",
       "      <td>JC024</td>\n",
       "      <td>40.736982</td>\n",
       "      <td>-74.027781</td>\n",
       "      <td>40.742677</td>\n",
       "      <td>-74.051789</td>\n",
       "      <td>member</td>\n",
       "      <td>22:02:12</td>\n",
       "      <td>22:21:31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ride_id  rideable_type           started_at             ended_at  \\\n",
       "0  D68047AAA9A72501   classic_bike  2022-08-12 18:14:45  2022-08-12 18:21:23   \n",
       "1  E5B82A9F588A7650   classic_bike  2022-08-19 01:04:39  2022-08-19 01:14:10   \n",
       "2  13D19CCBCC9D7B76   classic_bike  2022-08-19 18:13:45  2022-08-19 19:32:47   \n",
       "3  AA0DBFF220DA98F6   classic_bike  2022-08-21 13:43:05  2022-08-21 13:53:13   \n",
       "4  8F11D340492FCD32  electric_bike  2022-08-04 22:02:12  2022-08-04 22:21:31   \n",
       "\n",
       "                             start_station_name start_station_id  \\\n",
       "0                                Columbus Drive            JC014   \n",
       "1  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "2  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "3                                Columbus Drive            JC014   \n",
       "4  South Waterfront Walkway - Sinatra Dr & 1 St            HB103   \n",
       "\n",
       "        end_station_name end_station_id  start_lat  start_lng    end_lat  \\\n",
       "0          Hamilton Park          JC009  40.718355 -74.038914  40.727596   \n",
       "1   8 St & Washington St          HB603  40.736982 -74.027781  40.745984   \n",
       "2  11 St & Washington St          HB502  40.736982 -74.027781  40.749985   \n",
       "3          Montgomery St          JC099  40.718355 -74.038914  40.719420   \n",
       "4         Pershing Field          JC024  40.736982 -74.027781  40.742677   \n",
       "\n",
       "     end_lng member_casual start_time  end_time  \n",
       "0 -74.044247        member   18:14:45  18:21:23  \n",
       "1 -74.028199        member   01:04:39  01:14:10  \n",
       "2 -74.027150        member   18:13:45  19:32:47  \n",
       "3 -74.050990        member   13:43:05  13:53:13  \n",
       "4 -74.051789        member   22:02:12  22:21:31  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# trip duration\n",
    "# difference = time1 - time2 \n",
    "\n",
    "df['start_time'] = df['started_at'].apply(lambda x: datetime.strptime(x, \"%Y-%m-%d %H:%M:%S\").strftime(\"%H:%M:%S\"))\n",
    "df['end_time'] = df['ended_at'].apply(lambda x: datetime.strptime(x, \"%Y-%m-%d %H:%M:%S\").strftime(\"%H:%M:%S\"))\n",
    "\n",
    "# Convert 'start_time' and 'end_time' columns to datetime objects\n",
    "#df['start_time'] = pd.to_datetime(df['start_time'], format=\"%H:%M:%S\")\n",
    "#df['end_time'] = pd.to_datetime(df['end_time'], format=\"%H:%M:%S\")\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "750151c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert 'start_time' and 'end_time' columns to datetime objects\n",
    "df['start_time'] = pd.to_datetime(df['start_time'], format=\"%H:%M:%S\")\n",
    "df['end_time'] = pd.to_datetime(df['end_time'], format=\"%H:%M:%S\")\n",
    "\n",
    "# Calculate the time duration by subtracting 'start_time' from 'end_time'\n",
    "df['time_duration'] = df['end_time'] - df['start_time']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "79956ea0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('data/citi_bike_2022_2023.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a38960a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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