2020-2021_chicago_bike_share_project.ipynb

{
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     "data": {
      "text/html": [
       "'/Users/patrickdorante/Desktop/trips_data/bikeData'"
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       "'/Users/patrickdorante/Desktop/trips\\_data/bikeData'"
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       "'/Users/patrickdorante/Desktop/trips_data/bikeData'"
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       "[1] \"/Users/patrickdorante/Desktop/trips_data/bikeData\""
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    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #  \n",
    "# # # # # # # # #  Install janitor and lubridate packages for cleaning and date functions # # # # # # # # # \n",
    "# # # # # # # # #  skimr summarizes statistics about columns in a data frame              # # # # # # # # # \n",
    "# # # # # # # # #  tidyverse for data import and wrangling                                # # # # # # # # # \n",
    "# # # # # # # # #  readr for reading rectangular data                                     # # # # # # # # # \n",
    "# # # # # # # # #  ggplot for visualization                                               # # # # # # # # # \n",
    "# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # ## # # # # # # # ## # # # # # # # #"
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   "execution_count": 3,
   "id": "781d9bc5",
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     "name": "stderr",
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     "text": [
      "Updating HTML index of packages in '.Library'\n",
      "Making 'packages.html' ... done\n"
     ]
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   "source": [
    "install.packages('janitor')"
   ]
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  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b5829a0e",
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   "source": [
    "install.packages('lubridate')"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "id": "d4fe941a",
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   "source": [
    "install.packages('dtplyr')"
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   "cell_type": "code",
   "execution_count": 8,
   "id": "e9e63cb5",
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     "text": [
      "── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──\n",
      "✔ ggplot2 3.3.5     ✔ purrr   0.3.4\n",
      "✔ tibble  3.1.6     ✔ dplyr   1.0.8\n",
      "✔ tidyr   1.2.0     ✔ stringr 1.4.0\n",
      "✔ readr   2.1.2     ✔ forcats 0.5.1\n",
      "── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──\n",
      "✖ dplyr::filter() masks stats::filter()\n",
      "✖ dplyr::lag()    masks stats::lag()\n",
      "\n",
      "Attaching package: ‘lubridate’\n",
      "\n",
      "The following objects are masked from ‘package:base’:\n",
      "\n",
      "    date, intersect, setdiff, union\n",
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      "\n",
      "Attaching package: ‘janitor’\n",
      "\n",
      "The following objects are masked from ‘package:stats’:\n",
      "\n",
      "    chisq.test, fisher.test\n",
      "\n",
      "\n",
      "Attaching package: ‘scales’\n",
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      "\n",
      "    discard\n",
      "\n",
      "The following object is masked from ‘package:readr’:\n",
      "\n",
      "    col_factor\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(tidyverse)\n",
    "library(skimr)\n",
    "library(dplyr)\n",
    "library(dtplyr)\n",
    "library(lubridate)\n",
    "library(janitor)\n",
    "library(tidyr)\n",
    "library(tibble)\n",
    "library(stringr)\n",
    "library(readr)\n",
    "library(ggplot2)\n",
    "library(scales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "91383c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "#--------------------------------------------------------------------------------\n",
    "# STEP # 1 EXPECTATION: COLLECTION AND LOAD OF DATA FROM APRIL 2004 - MAY 2021\n",
    "#--------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7182ae2f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Rows: 84776 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 200274 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 343005 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 551480 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 622361 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 532958 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 388653 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 259716 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (5): ride_id, rideable_type, start_station_name, end_station_name, memb...\n",
      "dbl  (6): start_station_id, end_station_id, start_lat, start_lng, end_lat, e...\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 131573 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message."
     ]
    }
   ],
   "source": [
    "trip202004 <- read_csv('202004-divvy-tripdata.csv')\n",
    "trip202005 <- read_csv('202005-divvy-tripdata.csv')\n",
    "trip202006 <- read_csv('202006-divvy-tripdata.csv')\n",
    "trip202007 <- read_csv('202007-divvy-tripdata.csv')\n",
    "trip202008 <- read_csv('202008-divvy-tripdata.csv')\n",
    "trip202009 <- read_csv('202009-divvy-tripdata.csv')\n",
    "trip202010 <- read_csv('202010-divvy-tripdata.csv')\n",
    "trip202011 <- read_csv('202011-divvy-tripdata.csv')\n",
    "trip202012 <- read_csv('202012-divvy-tripdata.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1505deaf",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Rows: 96834 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 49622 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 228496 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 337230 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Rows: 531633 Columns: 13── Column specification ────────────────────────────────────────────────────────\n",
      "Delimiter: \",\"\n",
      "chr  (7): ride_id, rideable_type, start_station_name, start_station_id, end_...\n",
      "dbl  (4): start_lat, start_lng, end_lat, end_lng\n",
      "dttm (2): started_at, ended_at\n",
      "ℹ Use `spec()` to retrieve the full column specification for this data.\n",
      "ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message."
     ]
    }
   ],
   "source": [
    "trip202101 <- read_csv('202101-divvy-tripdata.csv')\n",
    "trip202102 <- read_csv('202102-divvy-tripdata.csv')\n",
    "trip202103 <- read_csv('202103-divvy-tripdata.csv')\n",
    "trip202104 <- read_csv('202104-divvy-tripdata.csv')\n",
    "trip202105 <- read_csv('202105-divvy-tripdata.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e3fbced4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#--------------------------------------------------------------------------\n",
    "# STEP # 2 EXPECTATION: COMBINE OR MERGE ALL THE DATA TO A SINGLE FILE\n",
    "#--------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d99c4d70",
   "metadata": {},
   "outputs": [],
   "source": [
    "riders_trip <- rbind(trip202004, trip202005, trip202006, trip202007,\n",
    "               trip202008, trip202009, trip202010, trip202011, \n",
    "               trip202012, trip202101, trip202102, trip202103, \n",
    "               trip202104, trip202105)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8a42e287",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>ride_id</th><th scope=col>rideable_type</th><th scope=col>started_at</th><th scope=col>ended_at</th><th scope=col>start_station_name</th><th scope=col>start_station_id</th><th scope=col>end_station_name</th><th scope=col>end_station_id</th><th scope=col>start_lat</th><th scope=col>start_lng</th><th scope=col>end_lat</th><th scope=col>end_lng</th><th scope=col>member_casual</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>A847FADBBC638E45                                                           </td><td>docked_bike                                                                </td><td>2020-04-26 17:45:14                                                        </td><td>2020-04-26 18:12:03                                                        </td><td><span style=white-space:pre-wrap>Eckhart Park                       </span></td><td>86                                                                         </td><td>Lincoln Ave &amp; Diversey Pkwy                                            </td><td>152                                                                        </td><td>41.8964                                                                    </td><td>-87.6610                                                                   </td><td>41.9322                                                                    </td><td>-87.6586                                                                   </td><td>member                                                                     </td></tr>\n",
       "\t<tr><td>5405B80E996FF60D                                                               </td><td>docked_bike                                                                    </td><td>2020-04-17 17:08:54                                                            </td><td>2020-04-17 17:17:03                                                            </td><td><span style=white-space:pre-wrap>Drake Ave &amp; Fullerton Ave          </span></td><td>503                                                                            </td><td><span style=white-space:pre-wrap>Kosciuszko Park            </span>            </td><td>499                                                                            </td><td>41.9244                                                                        </td><td>-87.7154                                                                       </td><td>41.9306                                                                        </td><td>-87.7238                                                                       </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>5DD24A79A4E006F4                                                               </td><td>docked_bike                                                                    </td><td>2020-04-01 17:54:13                                                            </td><td>2020-04-01 18:08:36                                                            </td><td><span style=white-space:pre-wrap>McClurg Ct &amp; Erie St               </span></td><td>142                                                                            </td><td>Indiana Ave &amp; Roosevelt Rd                                                 </td><td>255                                                                            </td><td>41.8945                                                                        </td><td>-87.6179                                                                       </td><td>41.8679                                                                        </td><td>-87.6230                                                                       </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>2A59BBDF5CDBA725                                                               </td><td>docked_bike                                                                    </td><td>2020-04-07 12:50:19                                                            </td><td>2020-04-07 13:02:31                                                            </td><td><span style=white-space:pre-wrap>California Ave &amp; Division St       </span></td><td>216                                                                            </td><td><span style=white-space:pre-wrap>Wood St &amp; Augusta Blvd     </span>        </td><td>657                                                                            </td><td>41.9030                                                                        </td><td>-87.6975                                                                       </td><td>41.8992                                                                        </td><td>-87.6722                                                                       </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>27AD306C119C6158                                                               </td><td>docked_bike                                                                    </td><td>2020-04-18 10:22:59                                                            </td><td>2020-04-18 11:15:54                                                            </td><td><span style=white-space:pre-wrap>Rush St &amp; Hubbard St               </span></td><td>125                                                                            </td><td>Sheridan Rd &amp; Lawrence Ave                                                 </td><td>323                                                                            </td><td>41.8902                                                                        </td><td>-87.6262                                                                       </td><td>41.9695                                                                        </td><td>-87.6547                                                                       </td><td>casual                                                                         </td></tr>\n",
       "\t<tr><td>356216E875132F61                                                       </td><td>docked_bike                                                            </td><td>2020-04-30 17:55:47                                                    </td><td>2020-04-30 18:01:11                                                    </td><td>Mies van der Rohe Way &amp; Chicago Ave                                </td><td>173                                                                    </td><td><span style=white-space:pre-wrap>Streeter Dr &amp; Grand Ave    </span></td><td>35                                                                     </td><td>41.8969                                                                </td><td>-87.6217                                                               </td><td>41.8923                                                                </td><td>-87.6120                                                               </td><td>member                                                                 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllllllll}\n",
       " ride\\_id & rideable\\_type & started\\_at & ended\\_at & start\\_station\\_name & start\\_station\\_id & end\\_station\\_name & end\\_station\\_id & start\\_lat & start\\_lng & end\\_lat & end\\_lng & member\\_casual\\\\\n",
       "\\hline\n",
       "\t A847FADBBC638E45                    & docked\\_bike                       & 2020-04-26 17:45:14                 & 2020-04-26 18:12:03                 & Eckhart Park                        & 86                                  & Lincoln Ave \\& Diversey Pkwy       & 152                                 & 41.8964                             & -87.6610                            & 41.9322                             & -87.6586                            & member                             \\\\\n",
       "\t 5405B80E996FF60D                      & docked\\_bike                         & 2020-04-17 17:08:54                   & 2020-04-17 17:17:03                   & Drake Ave \\& Fullerton Ave           & 503                                   & Kosciuszko Park                       & 499                                   & 41.9244                               & -87.7154                              & 41.9306                               & -87.7238                              & member                               \\\\\n",
       "\t 5DD24A79A4E006F4                      & docked\\_bike                         & 2020-04-01 17:54:13                   & 2020-04-01 18:08:36                   & McClurg Ct \\& Erie St                & 142                                   & Indiana Ave \\& Roosevelt Rd          & 255                                   & 41.8945                               & -87.6179                              & 41.8679                               & -87.6230                              & member                               \\\\\n",
       "\t 2A59BBDF5CDBA725                      & docked\\_bike                         & 2020-04-07 12:50:19                   & 2020-04-07 13:02:31                   & California Ave \\& Division St        & 216                                   & Wood St \\& Augusta Blvd              & 657                                   & 41.9030                               & -87.6975                              & 41.8992                               & -87.6722                              & member                               \\\\\n",
       "\t 27AD306C119C6158                      & docked\\_bike                         & 2020-04-18 10:22:59                   & 2020-04-18 11:15:54                   & Rush St \\& Hubbard St                & 125                                   & Sheridan Rd \\& Lawrence Ave          & 323                                   & 41.8902                               & -87.6262                              & 41.9695                               & -87.6547                              & casual                               \\\\\n",
       "\t 356216E875132F61                      & docked\\_bike                         & 2020-04-30 17:55:47                   & 2020-04-30 18:01:11                   & Mies van der Rohe Way \\& Chicago Ave & 173                                   & Streeter Dr \\& Grand Ave             & 35                                    & 41.8969                               & -87.6217                              & 41.8923                               & -87.6120                              & member                               \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| ride_id | rideable_type | started_at | ended_at | start_station_name | start_station_id | end_station_name | end_station_id | start_lat | start_lng | end_lat | end_lng | member_casual |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| A847FADBBC638E45                    | docked_bike                         | 2020-04-26 17:45:14                 | 2020-04-26 18:12:03                 | Eckhart Park                        | 86                                  | Lincoln Ave & Diversey Pkwy         | 152                                 | 41.8964                             | -87.6610                            | 41.9322                             | -87.6586                            | member                              |\n",
       "| 5405B80E996FF60D                    | docked_bike                         | 2020-04-17 17:08:54                 | 2020-04-17 17:17:03                 | Drake Ave & Fullerton Ave           | 503                                 | Kosciuszko Park                     | 499                                 | 41.9244                             | -87.7154                            | 41.9306                             | -87.7238                            | member                              |\n",
       "| 5DD24A79A4E006F4                    | docked_bike                         | 2020-04-01 17:54:13                 | 2020-04-01 18:08:36                 | McClurg Ct & Erie St                | 142                                 | Indiana Ave & Roosevelt Rd          | 255                                 | 41.8945                             | -87.6179                            | 41.8679                             | -87.6230                            | member                              |\n",
       "| 2A59BBDF5CDBA725                    | docked_bike                         | 2020-04-07 12:50:19                 | 2020-04-07 13:02:31                 | California Ave & Division St        | 216                                 | Wood St & Augusta Blvd              | 657                                 | 41.9030                             | -87.6975                            | 41.8992                             | -87.6722                            | member                              |\n",
       "| 27AD306C119C6158                    | docked_bike                         | 2020-04-18 10:22:59                 | 2020-04-18 11:15:54                 | Rush St & Hubbard St                | 125                                 | Sheridan Rd & Lawrence Ave          | 323                                 | 41.8902                             | -87.6262                            | 41.9695                             | -87.6547                            | casual                              |\n",
       "| 356216E875132F61                    | docked_bike                         | 2020-04-30 17:55:47                 | 2020-04-30 18:01:11                 | Mies van der Rohe Way & Chicago Ave | 173                                 | Streeter Dr & Grand Ave             | 35                                  | 41.8969                             | -87.6217                            | 41.8923                             | -87.6120                            | member                              |\n",
       "\n"
      ],
      "text/plain": [
       "  ride_id          rideable_type started_at          ended_at           \n",
       "1 A847FADBBC638E45 docked_bike   2020-04-26 17:45:14 2020-04-26 18:12:03\n",
       "2 5405B80E996FF60D docked_bike   2020-04-17 17:08:54 2020-04-17 17:17:03\n",
       "3 5DD24A79A4E006F4 docked_bike   2020-04-01 17:54:13 2020-04-01 18:08:36\n",
       "4 2A59BBDF5CDBA725 docked_bike   2020-04-07 12:50:19 2020-04-07 13:02:31\n",
       "5 27AD306C119C6158 docked_bike   2020-04-18 10:22:59 2020-04-18 11:15:54\n",
       "6 356216E875132F61 docked_bike   2020-04-30 17:55:47 2020-04-30 18:01:11\n",
       "  start_station_name                  start_station_id\n",
       "1 Eckhart Park                        86              \n",
       "2 Drake Ave & Fullerton Ave           503             \n",
       "3 McClurg Ct & Erie St                142             \n",
       "4 California Ave & Division St        216             \n",
       "5 Rush St & Hubbard St                125             \n",
       "6 Mies van der Rohe Way & Chicago Ave 173             \n",
       "  end_station_name            end_station_id start_lat start_lng end_lat\n",
       "1 Lincoln Ave & Diversey Pkwy 152            41.8964   -87.6610  41.9322\n",
       "2 Kosciuszko Park             499            41.9244   -87.7154  41.9306\n",
       "3 Indiana Ave & Roosevelt Rd  255            41.8945   -87.6179  41.8679\n",
       "4 Wood St & Augusta Blvd      657            41.9030   -87.6975  41.8992\n",
       "5 Sheridan Rd & Lawrence Ave  323            41.8902   -87.6262  41.9695\n",
       "6 Streeter Dr & Grand Ave     35             41.8969   -87.6217  41.8923\n",
       "  end_lng  member_casual\n",
       "1 -87.6586 member       \n",
       "2 -87.7238 member       \n",
       "3 -87.6230 member       \n",
       "4 -87.6722 member       \n",
       "5 -87.6547 casual       \n",
       "6 -87.6120 member       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# View table or data frame\n",
    "head(riders_trip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "245253d1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 4,358,611\n",
      "Columns: 13\n",
      "$ ride_id            <chr> \"A847FADBBC638E45\", \"5405B80E996FF60D\", \"5DD24A79A4…\n",
      "$ rideable_type      <chr> \"docked_bike\", \"docked_bike\", \"docked_bike\", \"docke…\n",
      "$ started_at         <dttm> 2020-04-26 17:45:14, 2020-04-17 17:08:54, 2020-04-…\n",
      "$ ended_at           <dttm> 2020-04-26 18:12:03, 2020-04-17 17:17:03, 2020-04-…\n",
      "$ start_station_name <chr> \"Eckhart Park\", \"Drake Ave & Fullerton Ave\", \"McClu…\n",
      "$ start_station_id   <chr> \"86\", \"503\", \"142\", \"216\", \"125\", \"173\", \"35\", \"434…\n",
      "$ end_station_name   <chr> \"Lincoln Ave & Diversey Pkwy\", \"Kosciuszko Park\", \"…\n",
      "$ end_station_id     <chr> \"152\", \"499\", \"255\", \"657\", \"323\", \"35\", \"635\", \"38…\n",
      "$ start_lat          <dbl> 41.8964, 41.9244, 41.8945, 41.9030, 41.8902, 41.896…\n",
      "$ start_lng          <dbl> -87.6610, -87.7154, -87.6179, -87.6975, -87.6262, -…\n",
      "$ end_lat            <dbl> 41.9322, 41.9306, 41.8679, 41.8992, 41.9695, 41.892…\n",
      "$ end_lng            <dbl> -87.6586, -87.7238, -87.6230, -87.6722, -87.6547, -…\n",
      "$ member_casual      <chr> \"member\", \"member\", \"member\", \"member\", \"casual\", \"…\n"
     ]
    }
   ],
   "source": [
    "## Summary and preview of the new dataset\n",
    "glimpse(riders_trip)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d97efbac",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Remove variable types of start_lat, start_lng, end_lat, end_lng, start_station_id , end_station_id\n",
    "rides_taken <- riders_trip %>% \n",
    "         select (-c(start_lat, \n",
    "                 start_lng, end_lat, \n",
    "                 end_lng, start_station_id, \n",
    "                 end_station_id))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dd9935f4",
   "metadata": {},
   "outputs": [],
   "source": [
    " rides_taken <- rides_taken %>% # filter and reassign column names \n",
    " rename(pickup_station = start_station_name,\n",
    "        dropoff_station = end_station_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9129f630",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>ride_id</th><th scope=col>rideable_type</th><th scope=col>started_at</th><th scope=col>ended_at</th><th scope=col>pickup_station</th><th scope=col>dropoff_station</th><th scope=col>member_casual</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>A847FADBBC638E45                                                           </td><td>docked_bike                                                                </td><td>2020-04-26 17:45:14                                                        </td><td>2020-04-26 18:12:03                                                        </td><td><span style=white-space:pre-wrap>Eckhart Park                       </span></td><td>Lincoln Ave &amp; Diversey Pkwy                                            </td><td>member                                                                     </td></tr>\n",
       "\t<tr><td>5405B80E996FF60D                                                               </td><td>docked_bike                                                                    </td><td>2020-04-17 17:08:54                                                            </td><td>2020-04-17 17:17:03                                                            </td><td><span style=white-space:pre-wrap>Drake Ave &amp; Fullerton Ave          </span></td><td><span style=white-space:pre-wrap>Kosciuszko Park            </span>            </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>5DD24A79A4E006F4                                                               </td><td>docked_bike                                                                    </td><td>2020-04-01 17:54:13                                                            </td><td>2020-04-01 18:08:36                                                            </td><td><span style=white-space:pre-wrap>McClurg Ct &amp; Erie St               </span></td><td>Indiana Ave &amp; Roosevelt Rd                                                 </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>2A59BBDF5CDBA725                                                               </td><td>docked_bike                                                                    </td><td>2020-04-07 12:50:19                                                            </td><td>2020-04-07 13:02:31                                                            </td><td><span style=white-space:pre-wrap>California Ave &amp; Division St       </span></td><td><span style=white-space:pre-wrap>Wood St &amp; Augusta Blvd     </span>        </td><td>member                                                                         </td></tr>\n",
       "\t<tr><td>27AD306C119C6158                                                               </td><td>docked_bike                                                                    </td><td>2020-04-18 10:22:59                                                            </td><td>2020-04-18 11:15:54                                                            </td><td><span style=white-space:pre-wrap>Rush St &amp; Hubbard St               </span></td><td>Sheridan Rd &amp; Lawrence Ave                                                 </td><td>casual                                                                         </td></tr>\n",
       "\t<tr><td>356216E875132F61                                                       </td><td>docked_bike                                                            </td><td>2020-04-30 17:55:47                                                    </td><td>2020-04-30 18:01:11                                                    </td><td>Mies van der Rohe Way &amp; Chicago Ave                                </td><td><span style=white-space:pre-wrap>Streeter Dr &amp; Grand Ave    </span></td><td>member                                                                 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllll}\n",
       " ride\\_id & rideable\\_type & started\\_at & ended\\_at & pickup\\_station & dropoff\\_station & member\\_casual\\\\\n",
       "\\hline\n",
       "\t A847FADBBC638E45                    & docked\\_bike                       & 2020-04-26 17:45:14                 & 2020-04-26 18:12:03                 & Eckhart Park                        & Lincoln Ave \\& Diversey Pkwy       & member                             \\\\\n",
       "\t 5405B80E996FF60D                      & docked\\_bike                         & 2020-04-17 17:08:54                   & 2020-04-17 17:17:03                   & Drake Ave \\& Fullerton Ave           & Kosciuszko Park                       & member                               \\\\\n",
       "\t 5DD24A79A4E006F4                      & docked\\_bike                         & 2020-04-01 17:54:13                   & 2020-04-01 18:08:36                   & McClurg Ct \\& Erie St                & Indiana Ave \\& Roosevelt Rd          & member                               \\\\\n",
       "\t 2A59BBDF5CDBA725                      & docked\\_bike                         & 2020-04-07 12:50:19                   & 2020-04-07 13:02:31                   & California Ave \\& Division St        & Wood St \\& Augusta Blvd              & member                               \\\\\n",
       "\t 27AD306C119C6158                      & docked\\_bike                         & 2020-04-18 10:22:59                   & 2020-04-18 11:15:54                   & Rush St \\& Hubbard St                & Sheridan Rd \\& Lawrence Ave          & casual                               \\\\\n",
       "\t 356216E875132F61                      & docked\\_bike                         & 2020-04-30 17:55:47                   & 2020-04-30 18:01:11                   & Mies van der Rohe Way \\& Chicago Ave & Streeter Dr \\& Grand Ave             & member                               \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| ride_id | rideable_type | started_at | ended_at | pickup_station | dropoff_station | member_casual |\n",
       "|---|---|---|---|---|---|---|\n",
       "| A847FADBBC638E45                    | docked_bike                         | 2020-04-26 17:45:14                 | 2020-04-26 18:12:03                 | Eckhart Park                        | Lincoln Ave & Diversey Pkwy         | member                              |\n",
       "| 5405B80E996FF60D                    | docked_bike                         | 2020-04-17 17:08:54                 | 2020-04-17 17:17:03                 | Drake Ave & Fullerton Ave           | Kosciuszko Park                     | member                              |\n",
       "| 5DD24A79A4E006F4                    | docked_bike                         | 2020-04-01 17:54:13                 | 2020-04-01 18:08:36                 | McClurg Ct & Erie St                | Indiana Ave & Roosevelt Rd          | member                              |\n",
       "| 2A59BBDF5CDBA725                    | docked_bike                         | 2020-04-07 12:50:19                 | 2020-04-07 13:02:31                 | California Ave & Division St        | Wood St & Augusta Blvd              | member                              |\n",
       "| 27AD306C119C6158                    | docked_bike                         | 2020-04-18 10:22:59                 | 2020-04-18 11:15:54                 | Rush St & Hubbard St                | Sheridan Rd & Lawrence Ave          | casual                              |\n",
       "| 356216E875132F61                    | docked_bike                         | 2020-04-30 17:55:47                 | 2020-04-30 18:01:11                 | Mies van der Rohe Way & Chicago Ave | Streeter Dr & Grand Ave             | member                              |\n",
       "\n"
      ],
      "text/plain": [
       "  ride_id          rideable_type started_at          ended_at           \n",
       "1 A847FADBBC638E45 docked_bike   2020-04-26 17:45:14 2020-04-26 18:12:03\n",
       "2 5405B80E996FF60D docked_bike   2020-04-17 17:08:54 2020-04-17 17:17:03\n",
       "3 5DD24A79A4E006F4 docked_bike   2020-04-01 17:54:13 2020-04-01 18:08:36\n",
       "4 2A59BBDF5CDBA725 docked_bike   2020-04-07 12:50:19 2020-04-07 13:02:31\n",
       "5 27AD306C119C6158 docked_bike   2020-04-18 10:22:59 2020-04-18 11:15:54\n",
       "6 356216E875132F61 docked_bike   2020-04-30 17:55:47 2020-04-30 18:01:11\n",
       "  pickup_station                      dropoff_station             member_casual\n",
       "1 Eckhart Park                        Lincoln Ave & Diversey Pkwy member       \n",
       "2 Drake Ave & Fullerton Ave           Kosciuszko Park             member       \n",
       "3 McClurg Ct & Erie St                Indiana Ave & Roosevelt Rd  member       \n",
       "4 California Ave & Division St        Wood St & Augusta Blvd      member       \n",
       "5 Rush St & Hubbard St                Sheridan Rd & Lawrence Ave  casual       \n",
       "6 Mies van der Rohe Way & Chicago Ave Streeter Dr & Grand Ave     member       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(rides_taken)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "365d7fb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "4358611"
      ],
      "text/latex": [
       "4358611"
      ],
      "text/markdown": [
       "4358611"
      ],
      "text/plain": [
       "[1] 4358611"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<ol class=list-inline>\n",
       "\t<li>4358611</li>\n",
       "\t<li>7</li>\n",
       "</ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 4358611\n",
       "\\item 7\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 4358611\n",
       "2. 7\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] 4358611       7"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nrow(rides_taken)  # Count the number of rows are in the data frame?\n",
    "dim(rides_taken)  # Provide the dimensions of the data frame?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "13323696",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<dl class=dl-horizontal>\n",
       "\t<dt>ride_id</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>rideable_type</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>started_at</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>ended_at</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>pickup_station</dt>\n",
       "\t\t<dd>201975</dd>\n",
       "\t<dt>dropoff_station</dt>\n",
       "\t\t<dd>229610</dd>\n",
       "\t<dt>member_casual</dt>\n",
       "\t\t<dd>0</dd>\n",
       "</dl>\n"
      ],
      "text/latex": [
       "\\begin{description*}\n",
       "\\item[ride\\textbackslash{}\\_id] 0\n",
       "\\item[rideable\\textbackslash{}\\_type] 0\n",
       "\\item[started\\textbackslash{}\\_at] 0\n",
       "\\item[ended\\textbackslash{}\\_at] 0\n",
       "\\item[pickup\\textbackslash{}\\_station] 201975\n",
       "\\item[dropoff\\textbackslash{}\\_station] 229610\n",
       "\\item[member\\textbackslash{}\\_casual] 0\n",
       "\\end{description*}\n"
      ],
      "text/markdown": [
       "ride_id\n",
       ":   0rideable_type\n",
       ":   0started_at\n",
       ":   0ended_at\n",
       ":   0pickup_station\n",
       ":   201975dropoff_station\n",
       ":   229610member_casual\n",
       ":   0\n",
       "\n"
      ],
      "text/plain": [
       "        ride_id   rideable_type      started_at        ended_at  pickup_station \n",
       "              0               0               0               0          201975 \n",
       "dropoff_station   member_casual \n",
       "         229610               0 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colSums(is.na(rides_taken)) # How many missing values each columns have in data frame?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "c2806040",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       " classic_bike   docked_bike electric_bike \n",
       "       843585       2626536        888490 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>member_casual</th><th scope=col>n</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>casual </td><td>1823893</td></tr>\n",
       "\t<tr><td>member </td><td>2534718</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " member\\_casual & n\\\\\n",
       "\\hline\n",
       "\t casual  & 1823893\\\\\n",
       "\t member  & 2534718\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| member_casual | n |\n",
       "|---|---|\n",
       "| casual  | 1823893 |\n",
       "| member  | 2534718 |\n",
       "\n"
      ],
      "text/plain": [
       "  member_casual n      \n",
       "1 casual        1823893\n",
       "2 member        2534718"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count numbers of annual members and casual users and bike types\n",
    "table(rides_taken$rideable_type)  # 1st. method\n",
    "\n",
    "rides_taken %>%                  # 2nd method data cleaning\n",
    "  count(member_casual) \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7877c36",
   "metadata": {},
   "outputs": [],
   "source": [
    "#---------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 3 EXPECTATION: TRANSFORMING DATA - CONVERTING DATE TO DATE-TIME TYPES    \n",
    "#---------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "id": "bd82a66b",
   "metadata": {},
   "outputs": [],
   "source": [
    "rides_taken$date <- as.Date(rides_taken$started_at) # format is yyyy-mm-dd\n",
    "#rides_taken$day <- format(as.Date(rides_taken$date), \"%d\")   # format is Monday-Sunday\n",
    "rides_taken$month <- format(as.Date(rides_taken$date), \"%B\") # Format is January-December\n",
    "rides_taken$year <- format(as.Date(rides_taken$date), \"%Y\")  # format is 2000-2021\n",
    "rides_taken$weekDays <- format(as.Date(rides_taken$date), \"%A\")\n",
    "rides_taken$datetime_start <- format(rides_taken$started_at, format = \"%H:%M\")\n",
    "rides_taken$datetime_start <- as.POSIXct(rides_taken$datetime_start, format = \"%H:%M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "id": "644b8b0d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Add ride duration by calculating the time difference between start and end session in seconds\n",
    "rides_taken$duration <- difftime(rides_taken$ended_at, rides_taken$started_at, units = \"mins\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "id": "c0ca5058",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "FALSE"
      ],
      "text/latex": [
       "FALSE"
      ],
      "text/markdown": [
       "FALSE"
      ],
      "text/plain": [
       "[1] FALSE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "TRUE"
      ],
      "text/latex": [
       "TRUE"
      ],
      "text/markdown": [
       "TRUE"
      ],
      "text/plain": [
       "[1] TRUE"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert ride time seconds from Factor to numeric and run calculations on the data\n",
    "is.factor(rides_taken$duration)\n",
    "rides_taken$duration <- as.numeric(as.character(rides_taken$duration))\n",
    "is.numeric(rides_taken$duration)\n",
    "# Add ride duration by calculating the time difference between start and end session in seconds\n",
    "rides_taken$duration <- difftime(rides_taken$ended_at, rides_taken$started_at, units = \"mins\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "id": "52b40f42",
   "metadata": {},
   "outputs": [],
   "source": [
    "#checking for hours and minutes used to complete the ride\n",
    "rides_taken$time_length <- hms::as_hms(rides_taken$)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d4ff9d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 4 EXPECTATION: MISSING AND NULL VALUES DATA - REMOVE BLANKS, MISSING AND NEGATIVE VALUES IN THE DATASETS \n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "id": "03a1b9d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop all the missing NA and negative NAN values with a new version dataframe\n",
    "rides_taken_v2 <- rides_taken[complete.cases(rides_taken),]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "id": "575be8fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop all the missing and negative values\n",
    "rides_taken_v2 <- rides_taken_v2[!(rides_taken_v2$duration < 0),]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "0fad7e89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<dl class=dl-horizontal>\n",
       "\t<dt>ride_id</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>rideable_type</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>started_at</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>ended_at</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>pickup_station</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>dropoff_station</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>member_casual</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>date</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>month</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>year</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>weekDays</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>duration</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>datetime_start</dt>\n",
       "\t\t<dd>0</dd>\n",
       "\t<dt>time_length</dt>\n",
       "\t\t<dd>0</dd>\n",
       "</dl>\n"
      ],
      "text/latex": [
       "\\begin{description*}\n",
       "\\item[ride\\textbackslash{}\\_id] 0\n",
       "\\item[rideable\\textbackslash{}\\_type] 0\n",
       "\\item[started\\textbackslash{}\\_at] 0\n",
       "\\item[ended\\textbackslash{}\\_at] 0\n",
       "\\item[pickup\\textbackslash{}\\_station] 0\n",
       "\\item[dropoff\\textbackslash{}\\_station] 0\n",
       "\\item[member\\textbackslash{}\\_casual] 0\n",
       "\\item[date] 0\n",
       "\\item[month] 0\n",
       "\\item[year] 0\n",
       "\\item[weekDays] 0\n",
       "\\item[duration] 0\n",
       "\\item[datetime\\textbackslash{}\\_start] 0\n",
       "\\item[time\\textbackslash{}\\_length] 0\n",
       "\\end{description*}\n"
      ],
      "text/markdown": [
       "ride_id\n",
       ":   0rideable_type\n",
       ":   0started_at\n",
       ":   0ended_at\n",
       ":   0pickup_station\n",
       ":   0dropoff_station\n",
       ":   0member_casual\n",
       ":   0date\n",
       ":   0month\n",
       ":   0year\n",
       ":   0weekDays\n",
       ":   0duration\n",
       ":   0datetime_start\n",
       ":   0time_length\n",
       ":   0\n",
       "\n"
      ],
      "text/plain": [
       "        ride_id   rideable_type      started_at        ended_at  pickup_station \n",
       "              0               0               0               0               0 \n",
       "dropoff_station   member_casual            date           month            year \n",
       "              0               0               0               0               0 \n",
       "       weekDays        duration  datetime_start     time_length \n",
       "              0               0               0               0 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "colSums(is.na(rides_taken_v2)) # Check for any missing NA and NaN values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "id": "bfdaf750",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       " casual  member \n",
       "1823893 2534718 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>member_casual</th><th scope=col>n</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>casual </td><td>1685735</td></tr>\n",
       "\t<tr><td>member </td><td>2348570</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " member\\_casual & n\\\\\n",
       "\\hline\n",
       "\t casual  & 1685735\\\\\n",
       "\t member  & 2348570\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| member_casual | n |\n",
       "|---|---|\n",
       "| casual  | 1685735 |\n",
       "| member  | 2348570 |\n",
       "\n"
      ],
      "text/plain": [
       "  member_casual n      \n",
       "1 casual        1685735\n",
       "2 member        2348570"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "table(rides_taken$member_casual) # Data cleaning after preparation and analysis.\n",
    "\n",
    "# 2nd. method compare old data.frame to new data.frame has fewer number of members\n",
    "rides_taken_v2 %>%\n",
    "count(member_casual)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "id": "6c281c75",
   "metadata": {},
   "outputs": [],
   "source": [
    "rides_taken_v3 <- rides_taken_v2 %>%      # data cleansing for a new data.frame\n",
    "                     select(-c(ride_id, \n",
    "                               started_at, ended_at, \n",
    "                               dropoff_station, date))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 557,
   "id": "74da6552",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows: 4,034,305\n",
      "Columns: 9\n",
      "$ rideable_type  <chr> \"docked_bike\", \"docked_bike\", \"docked_bike\", \"docked_bi…\n",
      "$ pickup_station <chr> \"Eckhart Park\", \"Drake Ave & Fullerton Ave\", \"McClurg C…\n",
      "$ member_casual  <chr> \"member\", \"member\", \"member\", \"member\", \"casual\", \"memb…\n",
      "$ month          <ord> April, April, April, April, April, April, April, April,…\n",
      "$ year           <chr> \"2020\", \"2020\", \"2020\", \"2020\", \"2020\", \"2020\", \"2020\",…\n",
      "$ weekDays       <ord> Sunday, Friday, Wednesday, Tuesday, Saturday, Thursday,…\n",
      "$ duration       <drtn> 26.816667 mins, 8.150000 mins, 14.383333 mins, 12.2000…\n",
      "$ datetime_start <dttm> 2022-04-20 17:45:00, 2022-04-20 17:08:00, 2022-04-20 1…\n",
      "$ time_length    <time> 00:26:49.000000, 00:08:09.000000, 00:14:23.000000, 00:…\n"
     ]
    }
   ],
   "source": [
    "glimpse(rides_taken_v3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "id": "cc4d280b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write_csv(rides_taken_v2, '2020_2021rides_taken.csv') # Create a csv file for the new data frame for further analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "id": "1ca23c11",
   "metadata": {},
   "outputs": [],
   "source": [
    "rides_taken_v3$weekDays <- ordered(rides_taken_v3$weekDays,  # Orderly days of the week\n",
    "                                   levels=c(\"Monday\", \"Tuesday\", \n",
    "                                             \"Wednesday\", \"Thursday\", \n",
    "                                             \"Friday\", \"Saturday\", \"Sunday\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "f5622a7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "rides_taken_v3$month <- ordered(rides_taken_v3$month, # Orderly month of the year\n",
    "                                levels=c(\"January\", \"February\", \"March\", \n",
    "                                         \"April\", \"May\", \"June\",\n",
    "                                         \"July\", \"August\", \"September\", \n",
    "                                         \"October\", \"November\", \"December\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "2420d5cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 5 EXPECTATION: CONDUCT STATISTICAL ANALYSIS\n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "id": "5a53caea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>pickup_station</th><th scope=col>weekDays</th><th scope=col>month</th><th scope=col>member_casual</th><th scope=col>duration</th><th scope=col>datetime_start</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Rush St &amp; Hubbard St          </span></td><td>Saturday                                                                  </td><td>April                                                                     </td><td>casual                                                                    </td><td>52.916667 mins                                                            </td><td>2022-04-20 10:22:00                                                       </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Ogden Ave &amp; Roosevelt Rd      </span></td><td><span style=white-space:pre-wrap>Tuesday  </span>                         </td><td>April                                                                     </td><td>casual                                                                    </td><td>75.816667 mins                                                            </td><td>2022-04-20 12:22:00                                                       </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>LaSalle Dr &amp; Huron St         </span></td><td>Wednesday                                                                 </td><td>April                                                                     </td><td>casual                                                                    </td><td> 5.733333 mins                                                            </td><td>2022-04-20 10:30:00                                                       </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Leavitt St &amp; Archer Ave       </span></td><td>Saturday                                                                  </td><td>April                                                                     </td><td>casual                                                                    </td><td> 8.216667 mins                                                            </td><td>2022-04-20 02:59:00                                                       </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Clark St &amp; Lincoln Ave        </span></td><td>Saturday                                                                  </td><td>April                                                                     </td><td>casual                                                                    </td><td>15.916667 mins                                                            </td><td>2022-04-20 10:52:00                                                       </td></tr>\n",
       "\t<tr><td>Museum of Science and Industry</td><td>Sunday                        </td><td>April                         </td><td>casual                        </td><td>35.983333 mins                </td><td>2022-04-20 15:39:00           </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " pickup\\_station & weekDays & month & member\\_casual & duration & datetime\\_start\\\\\n",
       "\\hline\n",
       "\t Rush St \\& Hubbard St           & Saturday                         & April                            & casual                           & 52.916667 mins                   & 2022-04-20 10:22:00             \\\\\n",
       "\t Ogden Ave \\& Roosevelt Rd       & Tuesday                          & April                            & casual                           & 75.816667 mins                   & 2022-04-20 12:22:00             \\\\\n",
       "\t LaSalle Dr \\& Huron St          & Wednesday                        & April                            & casual                           &  5.733333 mins                   & 2022-04-20 10:30:00             \\\\\n",
       "\t Leavitt St \\& Archer Ave        & Saturday                         & April                            & casual                           &  8.216667 mins                   & 2022-04-20 02:59:00             \\\\\n",
       "\t Clark St \\& Lincoln Ave         & Saturday                         & April                            & casual                           & 15.916667 mins                   & 2022-04-20 10:52:00             \\\\\n",
       "\t Museum of Science and Industry & Sunday                         & April                          & casual                         & 35.983333 mins                 & 2022-04-20 15:39:00           \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| pickup_station | weekDays | month | member_casual | duration | datetime_start |\n",
       "|---|---|---|---|---|---|\n",
       "| Rush St & Hubbard St           | Saturday                       | April                          | casual                         | 52.916667 mins                 | 2022-04-20 10:22:00            |\n",
       "| Ogden Ave & Roosevelt Rd       | Tuesday                        | April                          | casual                         | 75.816667 mins                 | 2022-04-20 12:22:00            |\n",
       "| LaSalle Dr & Huron St          | Wednesday                      | April                          | casual                         |  5.733333 mins                 | 2022-04-20 10:30:00            |\n",
       "| Leavitt St & Archer Ave        | Saturday                       | April                          | casual                         |  8.216667 mins                 | 2022-04-20 02:59:00            |\n",
       "| Clark St & Lincoln Ave         | Saturday                       | April                          | casual                         | 15.916667 mins                 | 2022-04-20 10:52:00            |\n",
       "| Museum of Science and Industry | Sunday                         | April                          | casual                         | 35.983333 mins                 | 2022-04-20 15:39:00            |\n",
       "\n"
      ],
      "text/plain": [
       "  pickup_station                 weekDays  month member_casual duration      \n",
       "1 Rush St & Hubbard St           Saturday  April casual        52.916667 mins\n",
       "2 Ogden Ave & Roosevelt Rd       Tuesday   April casual        75.816667 mins\n",
       "3 LaSalle Dr & Huron St          Wednesday April casual         5.733333 mins\n",
       "4 Leavitt St & Archer Ave        Saturday  April casual         8.216667 mins\n",
       "5 Clark St & Lincoln Ave         Saturday  April casual        15.916667 mins\n",
       "6 Museum of Science and Industry Sunday    April casual        35.983333 mins\n",
       "  datetime_start     \n",
       "1 2022-04-20 10:22:00\n",
       "2 2022-04-20 12:22:00\n",
       "3 2022-04-20 10:30:00\n",
       "4 2022-04-20 02:59:00\n",
       "5 2022-04-20 10:52:00\n",
       "6 2022-04-20 15:39:00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>pickup_station</th><th scope=col>weekDays</th><th scope=col>month</th><th scope=col>member_casual</th><th scope=col>duration</th><th scope=col>datetime_start</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Eckhart Park                       </td><td>Sunday                             </td><td>April                              </td><td>member                             </td><td>26.816667 mins                     </td><td>2022-04-20 17:45:00                </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Drake Ave &amp; Fullerton Ave          </span></td><td><span style=white-space:pre-wrap>Friday   </span>                              </td><td>April                                                                          </td><td>member                                                                         </td><td> 8.150000 mins                                                                 </td><td>2022-04-20 17:08:00                                                            </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>McClurg Ct &amp; Erie St               </span></td><td>Wednesday                                                                      </td><td>April                                                                          </td><td>member                                                                         </td><td>14.383333 mins                                                                 </td><td>2022-04-20 17:54:00                                                            </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>California Ave &amp; Division St       </span></td><td><span style=white-space:pre-wrap>Tuesday  </span>                              </td><td>April                                                                          </td><td>member                                                                         </td><td>12.200000 mins                                                                 </td><td>2022-04-20 12:50:00                                                            </td></tr>\n",
       "\t<tr><td>Mies van der Rohe Way &amp; Chicago Ave</td><td>Thursday                               </td><td>April                                  </td><td>member                                 </td><td> 5.400000 mins                         </td><td>2022-04-20 17:55:00                    </td></tr>\n",
       "\t<tr><td><span style=white-space:pre-wrap>Streeter Dr &amp; Grand Ave            </span></td><td>Thursday                                                                       </td><td>April                                                                          </td><td>member                                                                         </td><td> 5.216667 mins                                                                 </td><td>2022-04-20 14:47:00                                                            </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|llllll}\n",
       " pickup\\_station & weekDays & month & member\\_casual & duration & datetime\\_start\\\\\n",
       "\\hline\n",
       "\t Eckhart Park                        & Sunday                              & April                               & member                              & 26.816667 mins                      & 2022-04-20 17:45:00                \\\\\n",
       "\t Drake Ave \\& Fullerton Ave           & Friday                                & April                                 & member                                &  8.150000 mins                        & 2022-04-20 17:08:00                  \\\\\n",
       "\t McClurg Ct \\& Erie St                & Wednesday                             & April                                 & member                                & 14.383333 mins                        & 2022-04-20 17:54:00                  \\\\\n",
       "\t California Ave \\& Division St        & Tuesday                               & April                                 & member                                & 12.200000 mins                        & 2022-04-20 12:50:00                  \\\\\n",
       "\t Mies van der Rohe Way \\& Chicago Ave & Thursday                              & April                                 & member                                &  5.400000 mins                        & 2022-04-20 17:55:00                  \\\\\n",
       "\t Streeter Dr \\& Grand Ave             & Thursday                              & April                                 & member                                &  5.216667 mins                        & 2022-04-20 14:47:00                  \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| pickup_station | weekDays | month | member_casual | duration | datetime_start |\n",
       "|---|---|---|---|---|---|\n",
       "| Eckhart Park                        | Sunday                              | April                               | member                              | 26.816667 mins                      | 2022-04-20 17:45:00                 |\n",
       "| Drake Ave & Fullerton Ave           | Friday                              | April                               | member                              |  8.150000 mins                      | 2022-04-20 17:08:00                 |\n",
       "| McClurg Ct & Erie St                | Wednesday                           | April                               | member                              | 14.383333 mins                      | 2022-04-20 17:54:00                 |\n",
       "| California Ave & Division St        | Tuesday                             | April                               | member                              | 12.200000 mins                      | 2022-04-20 12:50:00                 |\n",
       "| Mies van der Rohe Way & Chicago Ave | Thursday                            | April                               | member                              |  5.400000 mins                      | 2022-04-20 17:55:00                 |\n",
       "| Streeter Dr & Grand Ave             | Thursday                            | April                               | member                              |  5.216667 mins                      | 2022-04-20 14:47:00                 |\n",
       "\n"
      ],
      "text/plain": [
       "  pickup_station                      weekDays  month member_casual\n",
       "1 Eckhart Park                        Sunday    April member       \n",
       "2 Drake Ave & Fullerton Ave           Friday    April member       \n",
       "3 McClurg Ct & Erie St                Wednesday April member       \n",
       "4 California Ave & Division St        Tuesday   April member       \n",
       "5 Mies van der Rohe Way & Chicago Ave Thursday  April member       \n",
       "6 Streeter Dr & Grand Ave             Thursday  April member       \n",
       "  duration       datetime_start     \n",
       "1 26.816667 mins 2022-04-20 17:45:00\n",
       "2  8.150000 mins 2022-04-20 17:08:00\n",
       "3 14.383333 mins 2022-04-20 17:54:00\n",
       "4 12.200000 mins 2022-04-20 12:50:00\n",
       "5  5.400000 mins 2022-04-20 17:55:00\n",
       "6  5.216667 mins 2022-04-20 14:47:00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "casual <- rides_taken_v3[rides_taken_v3$member_casual == \"casual\",] %>%\n",
    "              select(pickup_station, weekDays, \n",
    "                     month, member_casual, \n",
    "                     duration, datetime_start)  # Extract data only from casual users\n",
    "\n",
    "head(casual)\n",
    "\n",
    "# Members\n",
    "member <- rides_taken_v3[rides_taken_v3$member_casual == \"member\",] %>%  # Extract data only from member riders\n",
    "                  select(pickup_station, \n",
    "                         weekDays, month, \n",
    "                         member_casual, duration, \n",
    "                         datetime_start)\n",
    "\n",
    "head(member)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "id": "df431d1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 6 EXPECTATION: FIND THE WEEKLY AND MONTHLY MEAN, MAX AND MEDIAN\n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "id": "5b34e257",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>rides_taken_v3$member_casual</th><th scope=col>rides_taken_v3$weekDays</th><th scope=col>rides_taken_v3$duration</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>casual   </td><td>Monday   </td><td>43.80656 </td></tr>\n",
       "\t<tr><td>member   </td><td>Monday   </td><td>14.86941 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Tuesday  </td><td>40.04041 </td></tr>\n",
       "\t<tr><td>member   </td><td>Tuesday  </td><td>14.70481 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Wednesday</td><td>39.85545 </td></tr>\n",
       "\t<tr><td>member   </td><td>Wednesday</td><td>14.75541 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Thursday </td><td>41.47490 </td></tr>\n",
       "\t<tr><td>member   </td><td>Thursday </td><td>14.71136 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Friday   </td><td>42.43567 </td></tr>\n",
       "\t<tr><td>member   </td><td>Friday   </td><td>15.22194 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Saturday </td><td>45.60684 </td></tr>\n",
       "\t<tr><td>member   </td><td>Saturday </td><td>17.39976 </td></tr>\n",
       "\t<tr><td>casual   </td><td>Sunday   </td><td>50.03975 </td></tr>\n",
       "\t<tr><td>member   </td><td>Sunday   </td><td>17.84696 </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       " rides\\_taken\\_v3\\$member\\_casual & rides\\_taken\\_v3\\$weekDays & rides\\_taken\\_v3\\$duration\\\\\n",
       "\\hline\n",
       "\t casual    & Monday    & 43.80656 \\\\\n",
       "\t member    & Monday    & 14.86941 \\\\\n",
       "\t casual    & Tuesday   & 40.04041 \\\\\n",
       "\t member    & Tuesday   & 14.70481 \\\\\n",
       "\t casual    & Wednesday & 39.85545 \\\\\n",
       "\t member    & Wednesday & 14.75541 \\\\\n",
       "\t casual    & Thursday  & 41.47490 \\\\\n",
       "\t member    & Thursday  & 14.71136 \\\\\n",
       "\t casual    & Friday    & 42.43567 \\\\\n",
       "\t member    & Friday    & 15.22194 \\\\\n",
       "\t casual    & Saturday  & 45.60684 \\\\\n",
       "\t member    & Saturday  & 17.39976 \\\\\n",
       "\t casual    & Sunday    & 50.03975 \\\\\n",
       "\t member    & Sunday    & 17.84696 \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| rides_taken_v3$member_casual | rides_taken_v3$weekDays | rides_taken_v3$duration |\n",
       "|---|---|---|\n",
       "| casual    | Monday    | 43.80656  |\n",
       "| member    | Monday    | 14.86941  |\n",
       "| casual    | Tuesday   | 40.04041  |\n",
       "| member    | Tuesday   | 14.70481  |\n",
       "| casual    | Wednesday | 39.85545  |\n",
       "| member    | Wednesday | 14.75541  |\n",
       "| casual    | Thursday  | 41.47490  |\n",
       "| member    | Thursday  | 14.71136  |\n",
       "| casual    | Friday    | 42.43567  |\n",
       "| member    | Friday    | 15.22194  |\n",
       "| casual    | Saturday  | 45.60684  |\n",
       "| member    | Saturday  | 17.39976  |\n",
       "| casual    | Sunday    | 50.03975  |\n",
       "| member    | Sunday    | 17.84696  |\n",
       "\n"
      ],
      "text/plain": [
       "   rides_taken_v3$member_casual rides_taken_v3$weekDays rides_taken_v3$duration\n",
       "1  casual                       Monday                  43.80656               \n",
       "2  member                       Monday                  14.86941               \n",
       "3  casual                       Tuesday                 40.04041               \n",
       "4  member                       Tuesday                 14.70481               \n",
       "5  casual                       Wednesday               39.85545               \n",
       "6  member                       Wednesday               14.75541               \n",
       "7  casual                       Thursday                41.47490               \n",
       "8  member                       Thursday                14.71136               \n",
       "9  casual                       Friday                  42.43567               \n",
       "10 member                       Friday                  15.22194               \n",
       "11 casual                       Saturday                45.60684               \n",
       "12 member                       Saturday                17.39976               \n",
       "13 casual                       Sunday                  50.03975               \n",
       "14 member                       Sunday                  17.84696               "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Inspect the daily average duration for members vs casual users\n",
    "\n",
    "aggregate(rides_taken_v3$duration~rides_taken_v3$member_casual + \n",
    "          rides_taken_v3$weekDays, FUN = mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "id": "46ba3e9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 7 EXPECTATION: COMPARE THE MEAN, MAX, MIN, AND MEDIAN FOR MEMBER VS CASUAL USERS\n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 550,
   "id": "d8d6aec9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "── Data Summary ────────────────────────\n",
      "                           Values        \n",
      "Name                       rides_taken_v3\n",
      "Number of rows             4034305       \n",
      "Number of columns          9             \n",
      "_______________________                  \n",
      "Column type frequency:                   \n",
      "  POSIXct                  1             \n",
      "  character                4             \n",
      "  difftime                 2             \n",
      "  factor                   2             \n",
      "________________________                 \n",
      "Group variables            None          \n",
      "\n",
      "── Variable type: POSIXct ──────────────────────────────────────────────────────\n",
      "  skim_variable  n_missing complete_rate min                 max                \n",
      "1 datetime_start         0             1 2022-04-20 00:00:00 2022-04-20 23:59:00\n",
      "  median              n_unique\n",
      "1 2022-04-20 15:28:00     1440\n",
      "\n",
      "── Variable type: character ────────────────────────────────────────────────────\n",
      "  skim_variable  n_missing complete_rate   min   max empty n_unique whitespace\n",
      "1 rideable_type          0             1    11    13     0        3          0\n",
      "2 pickup_station         0             1    10    53     0      711          0\n",
      "3 member_casual          0             1     6     6     0        2          0\n",
      "4 year                   0             1     4     4     0        2          0\n",
      "\n",
      "── Variable type: difftime ─────────────────────────────────────────────────────\n",
      "  skim_variable n_missing complete_rate min    max          median n_unique\n",
      "1 duration              0             1 0 secs 3523202 secs 14'32\"    26712\n",
      "2 time_length           0             1 0 secs 3523202 secs 14'32\"    26712\n",
      "\n",
      "── Variable type: factor ───────────────────────────────────────────────────────\n",
      "  skim_variable n_missing complete_rate ordered n_unique\n",
      "1 month                 0             1 TRUE          12\n",
      "2 weekDays              0             1 TRUE           7\n",
      "  top_counts                                        \n",
      "1 May: 650775, Aug: 605893, Jul: 548682, Sep: 498557\n",
      "2 Sat: 768264, Sun: 635803, Fri: 591952, Thu: 524146\n"
     ]
    }
   ],
   "source": [
    "skim(rides_taken_v3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "id": "6b93157d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>member_casual</th><th scope=col>min_ride_length</th><th scope=col>max_ride_length</th><th scope=col>median_ride_length</th><th scope=col>avg_trip_length</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>casual       </td><td>0 mins       </td><td>55683.88 mins</td><td>21.18333 mins</td><td>44.19577 mins</td></tr>\n",
       "\t<tr><td>member       </td><td>0 mins       </td><td>58720.03 mins</td><td>11.38333 mins</td><td>15.64780 mins</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllll}\n",
       " member\\_casual & min\\_ride\\_length & max\\_ride\\_length & median\\_ride\\_length & avg\\_trip\\_length\\\\\n",
       "\\hline\n",
       "\t casual        & 0 mins        & 55683.88 mins & 21.18333 mins & 44.19577 mins\\\\\n",
       "\t member        & 0 mins        & 58720.03 mins & 11.38333 mins & 15.64780 mins\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| member_casual | min_ride_length | max_ride_length | median_ride_length | avg_trip_length |\n",
       "|---|---|---|---|---|\n",
       "| casual        | 0 mins        | 55683.88 mins | 21.18333 mins | 44.19577 mins |\n",
       "| member        | 0 mins        | 58720.03 mins | 11.38333 mins | 15.64780 mins |\n",
       "\n"
      ],
      "text/plain": [
       "  member_casual min_ride_length max_ride_length median_ride_length\n",
       "1 casual        0 mins          55683.88 mins   21.18333 mins     \n",
       "2 member        0 mins          58720.03 mins   11.38333 mins     \n",
       "  avg_trip_length\n",
       "1 44.19577 mins  \n",
       "2 15.64780 mins  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    " rides_taken_v3 %>%   # Statistical comparison between members vs casual users\n",
    "    group_by(member_casual) %>%\n",
    "    summarise(min_ride_length = min(duration), \n",
    "              max_ride_length = max(duration),\n",
    "              median_ride_length = median(duration), \n",
    "              avg_trip_length = mean(duration))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "id": "052761d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** The median duration per ride is 0.2422222 seconds. *****"
     ]
    }
   ],
   "source": [
    "median_duration <- median(rides_taken_v3$duration)/60  # median duration in seconds\n",
    "cat(\"***** The median duration per ride is\", median_duration, \"seconds. *****\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "id": "f15173bd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** The max duration per ride is 978.6672 seconds. *****"
     ]
    }
   ],
   "source": [
    "max_duration <- max(rides_taken_v3$duration)/60  # mean duration in seconds\n",
    "cat(\"***** The max duration per ride is\", max_duration, \"seconds. *****\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 549,
   "id": "e2b03d5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "***** The mean duration per ride is 0.4596096 seconds. *****"
     ]
    }
   ],
   "source": [
    "mean_duration <- mean(rides_taken_v3$duration)/60 # mean duration\n",
    "cat(\"***** The mean duration per ride is\", mean_duration, \"seconds. *****\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 427,
   "id": "8674327b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>rideable_type</th><th scope=col>pickup_station</th><th scope=col>member_casual</th><th scope=col>month</th><th scope=col>year</th><th scope=col>weekDays</th><th scope=col>duration</th><th scope=col>datetime_start</th><th scope=col>time_length</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>docked_bike                        </td><td>Eckhart Park                       </td><td>member                             </td><td>April                              </td><td>2020                               </td><td>Sunday                             </td><td>26.81667 mins                      </td><td>2022-04-20 17:45:00                </td><td>00:26:49                           </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>Drake Ave &amp; Fullerton Ave          </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td><span style=white-space:pre-wrap>Friday   </span>                              </td><td> 8.15000 mins                                                                  </td><td>2022-04-20 17:08:00                                                            </td><td>00:08:09                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>McClurg Ct &amp; Erie St               </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td>Wednesday                                                                      </td><td>14.38333 mins                                                                  </td><td>2022-04-20 17:54:00                                                            </td><td>00:14:23                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>California Ave &amp; Division St       </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td><span style=white-space:pre-wrap>Tuesday  </span>                              </td><td>12.20000 mins                                                                  </td><td>2022-04-20 12:50:00                                                            </td><td>00:12:12                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>Rush St &amp; Hubbard St               </span></td><td>casual                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td>Saturday                                                                       </td><td>52.91667 mins                                                                  </td><td>2022-04-20 10:22:00                                                            </td><td>00:52:55                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                            </td><td>Mies van der Rohe Way &amp; Chicago Ave</td><td>member                                 </td><td>April                                  </td><td>2020                                   </td><td>Thursday                               </td><td> 5.40000 mins                          </td><td>2022-04-20 17:55:00                    </td><td>00:05:24                               </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllll}\n",
       " rideable\\_type & pickup\\_station & member\\_casual & month & year & weekDays & duration & datetime\\_start & time\\_length\\\\\n",
       "\\hline\n",
       "\t docked\\_bike                       & Eckhart Park                        & member                              & April                               & 2020                                & Sunday                              & 26.81667 mins                       & 2022-04-20 17:45:00                 & 00:26:49                           \\\\\n",
       "\t docked\\_bike                         & Drake Ave \\& Fullerton Ave           & member                                & April                                 & 2020                                  & Friday                                &  8.15000 mins                         & 2022-04-20 17:08:00                   & 00:08:09                             \\\\\n",
       "\t docked\\_bike                         & McClurg Ct \\& Erie St                & member                                & April                                 & 2020                                  & Wednesday                             & 14.38333 mins                         & 2022-04-20 17:54:00                   & 00:14:23                             \\\\\n",
       "\t docked\\_bike                         & California Ave \\& Division St        & member                                & April                                 & 2020                                  & Tuesday                               & 12.20000 mins                         & 2022-04-20 12:50:00                   & 00:12:12                             \\\\\n",
       "\t docked\\_bike                         & Rush St \\& Hubbard St                & casual                                & April                                 & 2020                                  & Saturday                              & 52.91667 mins                         & 2022-04-20 10:22:00                   & 00:52:55                             \\\\\n",
       "\t docked\\_bike                         & Mies van der Rohe Way \\& Chicago Ave & member                                & April                                 & 2020                                  & Thursday                              &  5.40000 mins                         & 2022-04-20 17:55:00                   & 00:05:24                             \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| rideable_type | pickup_station | member_casual | month | year | weekDays | duration | datetime_start | time_length |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| docked_bike                         | Eckhart Park                        | member                              | April                               | 2020                                | Sunday                              | 26.81667 mins                       | 2022-04-20 17:45:00                 | 00:26:49                            |\n",
       "| docked_bike                         | Drake Ave & Fullerton Ave           | member                              | April                               | 2020                                | Friday                              |  8.15000 mins                       | 2022-04-20 17:08:00                 | 00:08:09                            |\n",
       "| docked_bike                         | McClurg Ct & Erie St                | member                              | April                               | 2020                                | Wednesday                           | 14.38333 mins                       | 2022-04-20 17:54:00                 | 00:14:23                            |\n",
       "| docked_bike                         | California Ave & Division St        | member                              | April                               | 2020                                | Tuesday                             | 12.20000 mins                       | 2022-04-20 12:50:00                 | 00:12:12                            |\n",
       "| docked_bike                         | Rush St & Hubbard St                | casual                              | April                               | 2020                                | Saturday                            | 52.91667 mins                       | 2022-04-20 10:22:00                 | 00:52:55                            |\n",
       "| docked_bike                         | Mies van der Rohe Way & Chicago Ave | member                              | April                               | 2020                                | Thursday                            |  5.40000 mins                       | 2022-04-20 17:55:00                 | 00:05:24                            |\n",
       "\n"
      ],
      "text/plain": [
       "  rideable_type pickup_station                      member_casual month year\n",
       "1 docked_bike   Eckhart Park                        member        April 2020\n",
       "2 docked_bike   Drake Ave & Fullerton Ave           member        April 2020\n",
       "3 docked_bike   McClurg Ct & Erie St                member        April 2020\n",
       "4 docked_bike   California Ave & Division St        member        April 2020\n",
       "5 docked_bike   Rush St & Hubbard St                casual        April 2020\n",
       "6 docked_bike   Mies van der Rohe Way & Chicago Ave member        April 2020\n",
       "  weekDays  duration      datetime_start      time_length\n",
       "1 Sunday    26.81667 mins 2022-04-20 17:45:00 00:26:49   \n",
       "2 Friday     8.15000 mins 2022-04-20 17:08:00 00:08:09   \n",
       "3 Wednesday 14.38333 mins 2022-04-20 17:54:00 00:14:23   \n",
       "4 Tuesday   12.20000 mins 2022-04-20 12:50:00 00:12:12   \n",
       "5 Saturday  52.91667 mins 2022-04-20 10:22:00 00:52:55   \n",
       "6 Thursday   5.40000 mins 2022-04-20 17:55:00 00:05:24   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rides_taken_viz <- rides_taken_v3 \n",
    "head(rides_taken_viz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 428,
   "id": "2d47f07b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 8 VISUALIZATION: COMPARING NUMBER AND AVERAGE OF TRIPS FOR BOTH MEMBER AND CASUAL USERS\n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 429,
   "id": "a5b8c018",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T3YM0rx265557qlnjPRtpXuuYToAAAQIE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\nq9P8vsfzXJ5c+Mq9i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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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JJhJiCAAAINIKC7cqlO/o9nMQGSv1gK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\nZvVQUy2rY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TDhpFok/VMw4lOhvPh5tb365oE1LadATQMjqOZKefLB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COOsB/96EduCFrNo7NEHTp0cEGVzpzWqVPH+vbtaz/4wQ+8Vbhl58yZ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\n0vddNuXV4Az6TVKQpdboTN+76Sz2tn9m+3nWesP2O5WNsfLt9/OuZZJTVP2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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data visualization - number of rides per users  \n",
    "\n",
    "number_of_trip_viz <- rides_taken_viz %>% \n",
    "                        group_by(member_casual, weekDays) %>% # group_by\n",
    "                        summarise(Riders_Number_of_Trip = n(), .groups=\"drop\") %>% # ggplot\n",
    "                        ggplot(aes(x = weekDays, y = Riders_Number_of_Trip, fill = member_casual))+\n",
    "                        geom_col(width=0.8, position = position_dodge(width=0.8))+\n",
    "                        labs(title=\"Daily Trips - Number of Rides Taken by Members\")+\n",
    "                        scale_y_continuous(labels = function(x) format(x, scientific = FALSE))+\n",
    "                        scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "\n",
    "number_of_trip_viz # member & casual users - number of rides\n",
    "                                           \n",
    "# =====================================================================================================\n",
    "#  # Daily Usage: Average of trips taken by members per day                                          \n",
    "# =====================================================================================================  \n",
    "                                           \n",
    "average_of_trip_viz <- rides_taken_viz %>% \n",
    "                      group_by(member_casual, weekDays) %>% \n",
    "                      summarise(Average_trips_per_mins = mean(duration), .groups=\"drop\") %>%\n",
    "                      ggplot(aes(x = weekDays, y = Average_trips_per_mins,fill = member_casual))+\n",
    "                      geom_bar(position=\"dodge\", stat = \"identity\")+\n",
    "                      labs(title=\"Daily Trips - Average of Rides Taken by Members\")+\n",
    "                      scale_y_continuous(labels = function(x) format(x, scientific = FALSE))+\n",
    "                      scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "                    \n",
    "average_of_trip_viz # Viz Outcome                                        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "id": "1f73e590",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3ds8kZeNVut2UkNzkgZ8huNSmvDuUZ3HWeVj5ZsanQ8aJzCocM5qm3UAZRRx0mD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r5nW/0Y033mh0cp0uidXJc+edd14+CB2l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\nbinnn3++NWzY0C6++GLbunWrde7c2QU0Wv7ss8+a5hU98cQTr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EEEAAAQQQQACB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\ne9xIiqqVVA2ByrDKtWo+vaTyqoF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FC/vBD37g5WnSpEmcbdu2bfbk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\nAggggAACCCCAQCzwf5NYhA5F06FNAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6P52bNMmo3QmhGN/quxknL3mc98JiMqzW7q44xS5qUMhZ1GLbUgWaN/YfOfcJjw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ckFi/bjeafDcV2hGlkH/2duH5noUfBCAA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\n8z0CCCCAAAIIIIAAAgggEBYgQApr8B4BBBBAAAEEEEAAAQSyWqDUb8/6SN1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BQBAqSiqLEMAggggAACCCCAAAIIZKQAAVJG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\ng2MIQAACEIAABCAAAQhAoKAJ/B8z6bhULCcUlgAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data visualization - Number of trips taken by member vs casual per month\n",
    "\n",
    "plot_month_viz <- rides_taken_viz %>%\n",
    "                    group_by(member_casual, month) %>% \n",
    "                    summarise(number_of_rides = n(), \n",
    "                    average_duration = mean(duration), .groups=\"drop\") %>%\n",
    "                    ggplot(mapping=aes(x = member_casual, \n",
    "                    y = number_of_rides, fill = member_casual)) +\n",
    "                    geom_bar(position=\"dodge2\", stat = \"identity\") +\n",
    "                    labs(title=\"Monthly Trips - Number of Rides Taken by Member vs casual\")+\n",
    "                    facet_wrap(~month) +\n",
    "                    scale_y_continuous(\n",
    "                    labels = function(x) format(x, scientific = FALSE))+\n",
    "                    scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "                    \n",
    "plot_month_viz # monthly viz\n",
    "                        \n",
    "                        \n",
    "# =====================================================================================================\n",
    "#  # Monthly Usage: Average of trips taken by member vs casual                                        \n",
    "# =====================================================================================================                         \n",
    "                                      \n",
    "avg_month_viz <- rides_taken_viz %>%\n",
    "                    group_by(member_casual, month) %>% \n",
    "                    summarise(average_duration = mean(time_length), .groups=\"drop\") %>%\n",
    "                    ggplot(mapping=aes(x = member_casual, \n",
    "                    y = average_duration, fill = member_casual)) +\n",
    "                    geom_bar(position=\"dodge\", stat = \"identity\") +\n",
    "                    labs(title=\"Monthly Trips - Average of Rides Taken by Member vs casual\")+\n",
    "                    facet_wrap(~month) +\n",
    "                    scale_y_continuous(labels = function(x) format(x, scientific = FALSE))+\n",
    "                    scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "                    \n",
    "avg_month_viz # viz                        \n",
    "                                        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "id": "6c9da9d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>rideable_type</th><th scope=col>pickup_station</th><th scope=col>member_casual</th><th scope=col>month</th><th scope=col>year</th><th scope=col>weekDays</th><th scope=col>duration</th><th scope=col>datetime_start</th><th scope=col>time_length</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>docked_bike                        </td><td>Eckhart Park                       </td><td>member                             </td><td>April                              </td><td>2020                               </td><td>Sunday                             </td><td>26.81667 mins                      </td><td>2022-04-20 17:45:00                </td><td>00:26:49                           </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>Drake Ave &amp; Fullerton Ave          </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td><span style=white-space:pre-wrap>Friday   </span>                              </td><td> 8.15000 mins                                                                  </td><td>2022-04-20 17:08:00                                                            </td><td>00:08:09                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>McClurg Ct &amp; Erie St               </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td>Wednesday                                                                      </td><td>14.38333 mins                                                                  </td><td>2022-04-20 17:54:00                                                            </td><td>00:14:23                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>California Ave &amp; Division St       </span></td><td>member                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td><span style=white-space:pre-wrap>Tuesday  </span>                              </td><td>12.20000 mins                                                                  </td><td>2022-04-20 12:50:00                                                            </td><td>00:12:12                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                                                                    </td><td><span style=white-space:pre-wrap>Rush St &amp; Hubbard St               </span></td><td>casual                                                                         </td><td>April                                                                          </td><td>2020                                                                           </td><td>Saturday                                                                       </td><td>52.91667 mins                                                                  </td><td>2022-04-20 10:22:00                                                            </td><td>00:52:55                                                                       </td></tr>\n",
       "\t<tr><td>docked_bike                            </td><td>Mies van der Rohe Way &amp; Chicago Ave</td><td>member                                 </td><td>April                                  </td><td>2020                                   </td><td>Thursday                               </td><td> 5.40000 mins                          </td><td>2022-04-20 17:55:00                    </td><td>00:05:24                               </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllll}\n",
       " rideable\\_type & pickup\\_station & member\\_casual & month & year & weekDays & duration & datetime\\_start & time\\_length\\\\\n",
       "\\hline\n",
       "\t docked\\_bike                       & Eckhart Park                        & member                              & April                               & 2020                                & Sunday                              & 26.81667 mins                       & 2022-04-20 17:45:00                 & 00:26:49                           \\\\\n",
       "\t docked\\_bike                         & Drake Ave \\& Fullerton Ave           & member                                & April                                 & 2020                                  & Friday                                &  8.15000 mins                         & 2022-04-20 17:08:00                   & 00:08:09                             \\\\\n",
       "\t docked\\_bike                         & McClurg Ct \\& Erie St                & member                                & April                                 & 2020                                  & Wednesday                             & 14.38333 mins                         & 2022-04-20 17:54:00                   & 00:14:23                             \\\\\n",
       "\t docked\\_bike                         & California Ave \\& Division St        & member                                & April                                 & 2020                                  & Tuesday                               & 12.20000 mins                         & 2022-04-20 12:50:00                   & 00:12:12                             \\\\\n",
       "\t docked\\_bike                         & Rush St \\& Hubbard St                & casual                                & April                                 & 2020                                  & Saturday                              & 52.91667 mins                         & 2022-04-20 10:22:00                   & 00:52:55                             \\\\\n",
       "\t docked\\_bike                         & Mies van der Rohe Way \\& Chicago Ave & member                                & April                                 & 2020                                  & Thursday                              &  5.40000 mins                         & 2022-04-20 17:55:00                   & 00:05:24                             \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| rideable_type | pickup_station | member_casual | month | year | weekDays | duration | datetime_start | time_length |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| docked_bike                         | Eckhart Park                        | member                              | April                               | 2020                                | Sunday                              | 26.81667 mins                       | 2022-04-20 17:45:00                 | 00:26:49                            |\n",
       "| docked_bike                         | Drake Ave & Fullerton Ave           | member                              | April                               | 2020                                | Friday                              |  8.15000 mins                       | 2022-04-20 17:08:00                 | 00:08:09                            |\n",
       "| docked_bike                         | McClurg Ct & Erie St                | member                              | April                               | 2020                                | Wednesday                           | 14.38333 mins                       | 2022-04-20 17:54:00                 | 00:14:23                            |\n",
       "| docked_bike                         | California Ave & Division St        | member                              | April                               | 2020                                | Tuesday                             | 12.20000 mins                       | 2022-04-20 12:50:00                 | 00:12:12                            |\n",
       "| docked_bike                         | Rush St & Hubbard St                | casual                              | April                               | 2020                                | Saturday                            | 52.91667 mins                       | 2022-04-20 10:22:00                 | 00:52:55                            |\n",
       "| docked_bike                         | Mies van der Rohe Way & Chicago Ave | member                              | April                               | 2020                                | Thursday                            |  5.40000 mins                       | 2022-04-20 17:55:00                 | 00:05:24                            |\n",
       "\n"
      ],
      "text/plain": [
       "  rideable_type pickup_station                      member_casual month year\n",
       "1 docked_bike   Eckhart Park                        member        April 2020\n",
       "2 docked_bike   Drake Ave & Fullerton Ave           member        April 2020\n",
       "3 docked_bike   McClurg Ct & Erie St                member        April 2020\n",
       "4 docked_bike   California Ave & Division St        member        April 2020\n",
       "5 docked_bike   Rush St & Hubbard St                casual        April 2020\n",
       "6 docked_bike   Mies van der Rohe Way & Chicago Ave member        April 2020\n",
       "  weekDays  duration      datetime_start      time_length\n",
       "1 Sunday    26.81667 mins 2022-04-20 17:45:00 00:26:49   \n",
       "2 Friday     8.15000 mins 2022-04-20 17:08:00 00:08:09   \n",
       "3 Wednesday 14.38333 mins 2022-04-20 17:54:00 00:14:23   \n",
       "4 Tuesday   12.20000 mins 2022-04-20 12:50:00 00:12:12   \n",
       "5 Saturday  52.91667 mins 2022-04-20 10:22:00 00:52:55   \n",
       "6 Thursday   5.40000 mins 2022-04-20 17:55:00 00:05:24   "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(rides_taken_viz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "id": "161f013f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ECAAAECDRAQkBqAqkoCBAgQIECAAAEC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\n6S5E6EfW8QAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_years_viz <- rides_taken_v3 %>%         # viz for years of 2020 vs 2021\n",
    "                    group_by(member_casual, year) %>% \n",
    "                    summarise(number_of_rides = n(), .groups=\"drop\") %>%\n",
    "                    ggplot(aes(x = year, y = number_of_rides, \n",
    "                    fill = member_casual))+\n",
    "                    geom_bar(position=\"Dodge\", stat = \"identity\") +\n",
    "                    scale_y_continuous(\n",
    "                    labels = function(x) format(x, scientific = FALSE)) +\n",
    "                    scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "\n",
    "                    \n",
    "plot_years_viz  # years plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f51dd7c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "id": "69373326",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QMsHe1NT/R0tCy3Y9LPzH09+kvUKNfkTprcZ8WUzaXhfqupTrqzzzXpCH466cGw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\nRoYRQAABBBBAAAEEEEDALwECJL9kSRcBBBBAAAEEEEAAAQRCJ0C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M+C4EStGtakqGAAIRFyBAingFU7zgC7jAqMmMnHWzGY1OW4x4qGvw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\nIAUUJFEgQIAAAQIECBAgQIBACvwP7N5xlBxD0z8AAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pie_viz <- rides_taken_v3 %>% # Percentage rides from both users\n",
    "               group_by(member_casual) %>%\n",
    "               summarise(total = n()) %>%\n",
    "               mutate(percentage = percent(total/sum(total))) %>%\n",
    "               mutate( Average_of_members = member_casual) %>%\n",
    "               ggplot(aes(x=\"\", y=Average_of_members, fill=member_casual))+\n",
    "               geom_col(color=\"white\") +\n",
    "               labs(title=\"Percentage of Rides Taken by Member vs Casual Users per Million\")+\n",
    "               geom_label(aes(label = paste0(round(total/1000000, 2), \"M\"), fill = member_casual), \n",
    "               position = position_stack(vjust = 0.7),\n",
    "               colour = \"black\", fontface='italic', show.legend = FALSE)+\n",
    "               geom_text(aes(label = percentage), position = position_stack(vjust = 0.4))+\n",
    "               scale_fill_manual(values=c(\"#009E73\", \"#D55E00\"))+\n",
    "               coord_polar(theta = \"y\")+\n",
    "               theme_void()\n",
    "\n",
    "\n",
    "pie_viz # viz percent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 560,
   "id": "8a29f35a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 9 SAVE & AND GRAPH\n",
    "#-----------------------------------------------------------------------------------------------------------------\n",
    " #ggsave('Days_of_week.png', plot_wkday_viz, width = 15, height=10)\n",
    " #ggsave('percent_usrs.png', pie_viz, width = 15, height=10)\n",
    " #ggsave('datetime.png', plot_time_day, width = 15, height=10)\n",
    " #ggsave('time_month.png', plot_time_month, width = 15, height=10)\n",
    " #ggsave('avg_trips.png', average_of_trip_viz, width = 15, height=10)\n",
    " #ggsave('average_time_month.png', average_of_trip_viz, width = 15, height=10)\n",
    " #ggsave('number_trips.pnd', num_of_trip_viz, width = 15, height=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 559,
   "id": "b7b7edb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tibble [4,034,305 × 9] (S3: tbl_df/tbl/data.frame)\n",
      " $ rideable_type : chr [1:4034305] \"docked_bike\" \"docked_bike\" \"docked_bike\" \"docked_bike\" ...\n",
      " $ pickup_station: chr [1:4034305] \"Eckhart Park\" \"Drake Ave & Fullerton Ave\" \"McClurg Ct & Erie St\" \"California Ave & Division St\" ...\n",
      " $ member_casual : chr [1:4034305] \"member\" \"member\" \"member\" \"member\" ...\n",
      " $ month         : Ord.factor w/ 12 levels \"January\"<\"February\"<..: 4 4 4 4 4 4 4 4 4 4 ...\n",
      " $ year          : chr [1:4034305] \"2020\" \"2020\" \"2020\" \"2020\" ...\n",
      " $ weekDays      : Ord.factor w/ 7 levels \"Monday\"<\"Tuesday\"<..: 7 5 3 2 6 4 4 2 3 6 ...\n",
      " $ duration      : 'difftime' num [1:4034305] 26.8166666666667 8.15 14.3833333333333 12.2 ...\n",
      "  ..- attr(*, \"units\")= chr \"mins\"\n",
      " $ datetime_start: POSIXct[1:4034305], format: \"2022-04-20 17:45:00\" \"2022-04-20 17:08:00\" ...\n",
      " $ time_length   : 'hms' num [1:4034305] 00:26:49 00:08:09 00:14:23 00:12:12 ...\n",
      "  ..- attr(*, \"units\")= chr \"secs\"\n"
     ]
    }
   ],
   "source": [
    "str(rides_taken_viz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "id": "f0b4728f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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etzFz4q1/d6Yz1tTPUgV8Qqq9qH2Mnltw/qwzE3D1vjLribNha7oHVzpYbFTrKN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Nzh6+7wK7bfZoOLZ7fMp2jk0Fl9/SFkl7\nJAFJcch7XRCe/FeCkUzvFjZgLaLgIMLne0VuYjf+gMfa8N7zrLQ4b0PbaorFDgQgAIG+E0BA\n6jtyEoQABCAAgQ0joPlHnnhOXuykOqkKOrZ49UescPhWG5reVXUmHZt3zh33uUXDwRxu3PN6\nbl0etf/SBz0lZPZukzvsDT/0XJvw6551zwfbk897oF3rayeVTeviOUy54A5cwpPWRep3yHkF\n5Hfus/EtjwrmdXLWEBxn9DsjpAcBCECgjgACUh0QdiEAAQhAILsENP9ImovgFGB1KZ64tBKQ\n3HOAmXu1G7vwkfHh1PwedkcSd5/aYbOu5XrLI3+ubb4kHClMuxvzaf8NGiSZ3bnGqCjhxH8l\nGOn44oZokNxhxJB7E5woLxYrhxm2QesyBVD8AwEIQGCVQHqNrKkiCEAAAhCAQI8JRHLhLdWR\na2LWqJBGXKDwUzmftzP1qOf0OOX1RzdfWLbp4XFbdqFGc4u6DbVe7MoLyUqjJAGpXoN0xBei\n/eAtV3ebRFfXb/nBZ9nkI348eLILN3o+Ip8TRYAABCCw0QS672E3OsekDwEIQAACiRBYuvma\nTA9QpT2SI4bCoe/4qqnyAFdrY5dz72+RnBVIiBodT4TxeiKNPdAtef7qXXx3Em/sxU6ao+Kq\nJklxNRKQvnToZnvPt/+7k2jP+JrxCx5iY/f8vrJLdWnzJPS5wEaAAAQgsNEEEJA2ugZIHwIQ\ngEBKCBx96wutNHssJbnpfTZKcyd8hdVFW/j/7F0HgFTl1b0z2xtsoXelqaiggCgRgx2IscWC\nvSXGWOJvN2pMrIk9xpbYBY3Ygmjsil2wgIIiXel9l+19Z/5z7uwb3s7O7O7szi7Lcq/uzpv3\nvve97ztv2PnOu/ee+8OH4ud2XX6keUm6QK+p0TpJsR9By3pkDaMkyGE7ogvR9sZisY44A/uK\ng6x2JQgJ85pCQ+zyUDiX9ZTaxDAOmoXYtQnadhFDwBBoAgJGkJoAkjUxBAwBQ2CnQICEoQM/\nwfcjNM0P+WtPaqYkwHsRypA8DLHD/P0+eJDaihxE8cEiuUmOC+QVRXFasGmyNxGkiFLgHvEh\n14eeJMp+J6FmUk3IfWfBWX8ogwz2FOMNeo742bMQuxgDa90ZAoZAcxEwgtRc5Ow8Q8AQMAQ6\nHAJYEocslDvUFBk6R4IAmezEXkNUrME9P08CQuw4/3YaYleFcSWD4DWXuCRA2rygAjLaICLV\n6kEKiDQkQcwhlwpydcyPMLw2ygfCeJQh0ZPUVtesM1d7YwgYAoZAXQSMINXFw94ZAoaAIbDz\nItDRPUhUavN6AqIAqphWN8ZOvUYgIRRv8MCr0t6MpIbKdNSYaI6lIO+qEh6jgIodQuzguWG4\nXjoJUlkoQQJPxPXc9uD378kX65e6d8VkO3nwfpI8bBzEMUCUOjJBjwla1okhYAi0BQLN/gao\nQYx2HJ5G0aqrq+WTTz6R9evXy8SJEyU7O7stxm7XMAQMAUPAEIgRAn4opOGPOkQKOm6SPEPs\nvCig6s3pI8l7jpPE/nvWRQ8eJHowss69u+7+dvKuEuRNCVIzQ9+S4H2qUILkkY/XL5Fe6dlK\nkDIgSJFbXqSz1OKt2EKgIbxtHpm/ZTVkwpOka3InWZy/Xj1YY3sOjikiKSMO0/4K33hIyWlM\nO7fODAFDwBBoBgLN8iDdd9990rt3bykvL9dLnnfeeXLooYfK6aefLv3795cFCxY0Yyh2iiFg\nCBgChsD2QoAKb8wB6dBP8DHHhG4DJPv0W6DynSjxWd3rwK0hdnjgl9C1b5397eHN7LVL5J/z\n3pF0kLgM1GlqjpEgVWJ+zD2iAMPILgOQi+SXnqlZQoU72u8/elKeXzpLvUdUt/vj51Plui9f\nllvmzFDPE6XGW83g0erQIZ6tBpx1bAgYArFGIGqC9Omnn8oVV1wh3bp1k7KyMpkzZ45MmTJF\nDjroIHnxxRdlwIABSpRiPVDrzxAwBAwBQ6AVEWDeTQcnSFseuxThaXXDxtyI0mMCFwY8ac0X\nQnD3F8vtBIT8UVghOylN/nP4hc3qOgUEiaIMGmInPumWmiFFleWSiL7XFW2VGUu+ks30JAEC\nhvORIHnFo2Rp9sZl6rcqgQpgq1kH//y1Gm7WsSFgCMQcgahD7N58803p2bOnfPfddyhZ4JVX\nX31VB3X33XfL6NGjpaqqSglSUVGRZGSwdreZIWAIGAKGQHtEoPjTFyUup5ek7HGgMMTOA7nn\nSE/wWWC1+JPnJePgM9rjVHRMFSvmS3xOX4nLyAo7Rn9pgYbQhT3o7IR3pT3mHyWCPJAgOZ4e\nZ7jRvJIIVaMPrZMLMkgvUnFVrvRM66yhdl+uXyb5laVKhKiYF6+Kd4E8JS/JI05kzlJrWUDm\nu5kJVq01KOvXEDAEdkoEovYgLVmyRMaOHavkiIi99dZb0rVrVxk1ipKpIsOGDcPfUL+sWLFC\n39svQ8AQMAQMgbZDIP+VO6R86TdNumDZvPel8qfvtC0JEHOQBB6GcOZHXZwi5og0w8rmfyhV\nG1c248zoTtk65TqpXD4n8klce5MdNGBxmd3Ek5TaQIvtcyjgQcItorhEC4ykh140vjKfqaS6\nHDLfCYHCsfAWER6q5FHBLiHOq9/1JEuQtpBKvFZhf6uZhdi1GrTWsSFgCESHQNR/aSnAsHjx\nYr0KRRnmzp0rRxxxhCZzcufMmTP1GL1MZoaAIWAIGAJti0AFwqRqkFjfJMNi14NFqRprBGER\nvOVfF4c91R+iaBa2UYSdRe8/IeULPo5wNHa7/ajd40lMkWrM31caEB1wetccKxLARhb43a99\nGR6o9ic0REU5enFaKr2dnZwGUlQBTxTzkBKltKpSCRI9Q+yf5IieKl4vIz4FRIo1k/jJCKja\nNRSi6GDd7FdVFmxFAtbsgdmJhoAhsLMhEDVBmjBhgvzwww9y0UUXySmnnKLeotNOO02oascw\nu9tuu03GjBkjXbp02dmwtPkaAoaAIbDdECid87ZsffnvAQLAcKimmCtcigSCOTj+srrEItgN\n2kZbf8dXUSbV+ZsELCxi6F6w/xZuaGggvF8eKK7lPXmVlM55s06PVLBTEYpGPEh1TmpHb0iM\nmA9E8tISG99rd+mUmCq7ZnQLEKSaSmFuUjXuL+8/yZAPXiSG4gU8R/AiYb8jCc7jrWUdPQeu\ntXCzfg0BQyD2CESdg3TcccfJJZdcIg899JC63q+66iqV9iZBuuGGG1TNjip3ZoaAIWAIGAJt\nhwC9JtVrF4OIYAHd1DAsLrZr22qIHZPkSZLCeYu4gFY/wrY5rbvqAOlx60zxJqVs2+naKvn8\nRSn77j10GSeeFi7sXd2G3awpKRAPCsBSply9HKEYkABifo6MddhO2sHOD9culAV5a+TivQ6v\nMxr14uDetNSD9JuBo4P9Ura7HLlnzE2ish3vrw/3niSMIg0MvSPVToOniQSKPzUgSFd88bzs\nld1Hzt5tXLCvmGzwnpGdmRkChoAhsJ0RiNqDRGGG+++/X7Zu3Sq5ubly55136hRYE2n27Nny\nxhtvyJAhQ7bztOzyhoAhYAjsbAjUehawiG2q1SFT8CRouB1JRBgpZ6etEilcgB4bEhHmJkUy\nDXnDIptLXh+Iy9YXbo3UVHwoVFqx8oeIxxs9gHEEPBDIoSLBI9lzmXqQUCg1oFTnOtDONlcW\nbZFFW9fXG9WMpV/JQORH9UrNrHesuTtSa9X6knGPGHJHEsZ7Re9RDfKNqGIHuqSkCH4kJU0k\nT1XwxrXUkxV2zCTnuK6ZIWAIGALbG4GoCZIzYCrUharUjRgxwjlsr4aAIWAIGAJtiYA+eKf3\nBwQBC80mGUiOQxjUs4L8HSUZyOWpZyRezFeqJWB+5K544FnwV5bVa+rs8FdAEhqLbFUnQ95L\n6eyA6qlz3P1asfRr2fr0Nbqr9Nv3JO/ZP7sPN7odEJkAGaPYBBbZzrycExlCmDxkf8k86Xpn\nV7t7vW/e24EwxpDbRy/Ps99/Ivv3GCy7dq5bu6klk+idniWbygqBl6g6nn6EQJIWbV0nhbiv\niVA1JGmigp6G2AFXkqdWc/KQ1IbzXrZkknauIWAIGALNQKDZBInXmj9/vrz88svyzjvv6KVX\nrlzZjCHYKYaAIWAIGAItRgALWZoSHJIEWMWyOVL67bu6He6XhqM5B1APR0AiSGjCeZDAvNTD\nFJQBx6JdCRLyjCKZHwpp2p8HY8OY6KFyPFCh5/hBoJSA4UBNwSap3rA8tEmD7x3CJhSbUDK3\nzYNUuOBz2XTXZIw3ocE+tudBiiLM+HmuiiOEjqMC2DF6IzTEMbRdtO8ZVvfQuLNkYOdutZLe\nHmEIXiqK0TKULhGRIfQpxSFEkh4mCjmQMMFviEuFsLhoLx6mfUDmu9YTGua47TIEDAFDoK0Q\naBZB+vHHH7Uw7PDhw+XEE0+Up556SsfL9zfeeKNUVIR5+thWM7LrGAKGgCGwUyKARSs8Rx4s\nbh2CU/7Dx1L65Wv10KjO3xjY5/I2BUQMsAiPQJCcELugBwmEhgTJV1Far39nB71LJEWa20Kv\nFPuuJW9OG+eV4XhoHHhLDxgIWVRGEQbk0pD0qRfCtX73k/xxQY/j7dW+2hQghMwxcg1dh1sG\nMqo5QqEHYjCZ/p26KCFaX5wv70DyfUL/4ZKRkKz5RgnqQRKE2nlVXjyQgxTIUWqqkzKqIeI6\nYfPfourEGhsChoAh0HIEoiZIhYWFMmnSJFm+fLlcccUVcsABB+goKNJAhbtbbrlFLryweVW+\nWz4d68EQMAQMgZ0TAT/inkhy4uAN8JWXig+EI5BR4pe85/4sFT/PkwrUR6op2CybbjtWQXKT\nFd3mqlcJEshGqNErAwKjBATHlNCQjDUUYkeyoqQH/ZKMoW96ksKZvxLjpXcCZEYJVTkU8Dav\nDtc07D4tdEsPEa+Dsao3oralr7wY7yFVDULXXu32Of9TzwxD2JTMuQZKD1I8sXfti/Umc46K\nqsrVU8TcI3qLxvfaTY7osyfC+rppiB0/T2uK8uTnws2xvnygP35W+DkzMwQMAUNgOyMQNUF6\n9NFHpaCgQGbNmqWy3n369NEpUKRh2rRpcvnll8uUKVOkpCRy4u52nrNd3hAwBAyBDogAAp8Q\nIsef8nnI4XnqqqAnohLEqGrDz5C/vkJ8JflKVHxo50UOSnXBFin78TMQF6i8IRFfCRK9OaHG\n5HkSHBIQmMqCgyDlv3QbJLXfDm0daMN+anNK2D5wfvgFMImWv3CTbPjrBClbPEuqt66Vovce\nD9tv2J0gER4KQoCUBVTstrlbakqLwTkwdnhE2qtRDIG+Nrf4AT029373liyBaAND7Hi8tYw5\nWySoLCBLgkSitnt2b7lyn0kyuHMPJWgMr6P0dwW9dbVsraCyVCgsERPj5ytaz2FMLmydGAKG\ngCFQF4GoCdK3334r48ePl379+tXtqfbd5MmTpbq6WlasWBH2uO00BAwBQ8AQiD0CHixewQ60\nUKqAKPjwpF+FF7hbSQo8E1gE+0ohhw0xBh4XhMlVLftaSj9/GaeC+GD97WEYGhTtQo19MFyu\n7IePtAgrPTbepDSo2IHYaAhb6BnoS8dUGypHAoMFsIby1W+K8DfmB2GRDjU7KYciHcfcBEKz\n+YHfSsGbD2tYoXqISPRqiZJzmRqSwvgk5227fCWpY70hyms7RqGE6T/PkTvnvA6CQnLUej4k\n9k5yxnA6equ6Jmc4w9BXEieG3vEzomp3PAH27qof5JZvZgTetPC3qii65t/C7ux0Q8AQMASa\njUDUBCk1NVWYgxTJSksD8eg5OTmRmth+Q8AQMAQMgRgjoGSIJIZKdEyuR7hUQMkNi2oNO+Pi\n2iPli2aJNzlNiRJJA0Pa6ElSgQaGOJHEQKGunpFA4Vjh6/+Uoo//I5Wr8D2AxTRYGJqGX7hT\nUU+9OWwBQsUcoLK570r+9Lvqde+vKFZCRyLmJxngXNh/I6ahdPC0ODLePhAknQ/21SCvZs2T\nf5Lcj6aBIEHiOyW9kd6232GKIpAgMQepBPeEXplykj1AQQGHON6bVjaOgYIMvJv0DDlGLkSR\nhpeOvASfII4RLWpvOccXCOV0WrfgFXN0Pi8t6MVONQQMAUOgxQhE/Rd3v/32kyVLlsj06dPr\nXZz5STfddJP06tVLevToUe+47TAEDAFDwBBoJQS4aAUp8ID8KMEBoVHSxMthge2ExjEPKb7n\nYA21o6CDUGQBq1wSjMTBIyVx4L4aPldvlOyfi3S8Vvz4qZQv+EQ9NbpS5rEwpl4pDZlifhTG\ngzC7oo+elSqSq1DD2J0QPvU08TyGXDVqATLlqNj5EDKoY0J/lSttTKEaAABAAElEQVS+k62f\nviTVRVvhzaoRLz0g7dAYSkcSEvAg1ciakjx5buksJUgMrFOCRCzIRlrR6EEiEaLFu7F3X5Yf\nM2VHgXtOwhTh9kc/Ul6bnwMzQ8AQMAS2MwJRE6RzzjlHRo0aJccff7yMHTtWvUkUbDjttNOU\nFH344Ydy3333bedp2eUNAUPAENi5EOCTd3pf6B3S4q1YbOo+en7gPQmoxGERjuNx6ZniR6id\nF94m9ezwyT3IS2KvoZLQfQC26+cgUTpbJcRZBIf1j0Cs6JHh4jiiB4HXpngEQuX8EI7g0roG\nCnpKnEJvDwUduCjndZSIgSDpuCpl/bUHhbbe9h6Ld/Ue0dvCcZUViTelE7xHebjWZvQVIH/o\nLOBZ2nZmu9kqhrcvDnNX7wzvIeZN0lSGe8JwNwomMC/I8dq0xsAP7beXXoP1jsjDeF3H9uky\nQE4cNEbfnjZ4rAzP7queLud4rAbmYZ5YzNjWttHZliFgCBgC0SIQdcZqfHy8vPnmm3LttdfK\n008/jQeT+BKDffPNN9KzZ0+hiMNJJ50U7TisvSFgCBgChkBLEODCEgtpb2on5ARViDetM2Kz\nQDoQ5qbEAYtwNZAWHwq4ln7zJvSbk5VU1eRv0tC8pAF7oy28SuFC7NC3hr5xAR3nVQ9UHEPz\nuGoPWdRqCN6Sr9A3zsH145JTpaa0CM3oikB7kJlQ89PDg75rgrWK0JYkD3NoUEqcHal3CiF8\n8IgVfzpNknc/UMp/+AQHaiWzcTzn9w8q+Qu97vZ+T3J07Nv3Syfcixowk4CKHRx7wKgcuWDx\nCJdUFTsSKMLXSnbRvkfKN5t+ktQ4SLfjFrk9SINQnJY/tMkotjssp7d8un5JYCQYE5rHxni/\n8ZkpmfuOFP73Dul+/QyQ3bq5ULG5kPViCBgChkDDCGx7RNRwuzpHu3btKk888YTk5ubKV199\npYRp0aJFwkKxp59+ep229sYQMAQMAUOgDRBgSBq9D/CeaP4Rw8mwyCbB8CTD00MhBXpysM+b\n00Oq89Yp0WG+UtWahZAA/xKr4vgAmaJ4w+aVdQfN/qmjplLZ8MpAoY7hfKwBSxntdVeP3dYe\nbWugvKbKeFjYq8CDnhdYSof1IGHsEOKWjIPPxIq7RpJHHIZr1cp2e3G92odxzkWqQep8EIgg\nZ+CcVCUPRIjzT+ixixJDjpd9Mi/Jk9hew+twzzBGhtfxVesgYbsScymHBymOrAj/a+hbzJiI\ng2Ld1+ePvUxrInGvXrfu4eA7kid6uGgcc0QPYvCMJm6AIFWtWiDF7zymHseA17GJ51ozQ8AQ\nMARiiECzCJJz/czMTBk9erRMnDhRhg5FaEYCVYjMDAFDwBAwBNoSgbyp14MlgGDgx5ORrSFy\nWjCWpIIeJAxGCQ0V6rCwzTjotEC4HNTePFCiUw8QFuNUf6MXxocwtXW3HFuHlGiIHdlQAmsJ\ngXQUb4WKXSp7BhHCYtnlRfKAnLEOEw9pn7imF14k3cF2FGwINbThODUcEGNJHjwaYw2QPkeI\nwX1K3mOXyua7JmOulQFyRCKB+cdn90Qe1Uglho7LhYSM4YTt0Ug0GD6n9AhTYL4RcaDXqIxk\nlqFugIwheHhpE2NkCMUaIhnD7xxPl34WgHssLLHfnhqV4gFRT97zl/o5jkW/1ochYAgYAtEi\n0GiI3dq1a+XAAw+Mtl/5+eefoz7HTjAEDAFDwBCIDgGq0LEOEQmAByTEi4W0EpNEhMqpihx8\nKCBGmmuEJ/RUkvMid4hha0kD9pJOE/8gm+85PZCjhGMeEKCagk1wNiHUCnLbOCEwICzkuRhW\nD5Ju4y09UjyKhXyd1TtIi5Kd2uvx2p7EVJX9prfB26krCAzyk1zG96n7Hyvx3QZIJcLzSNTU\nM4Q5YALgPiRQ2x7C8X117loI8UGZDnlNJSu+l8zTb5OEo/8P4gzzA+2xkA+MD+cSj3Zogfwi\nryTSkwfPGYkHFes47mrMnWTkiP57yeaKojYbPUMdOZ5IlsjPU5AQ444qyJFaN31/XOeukjr6\nV1Lw4q2SgDlHko9veo/W0hAwBAyB5iHQKEFiztGgQYPq9L5s2TKtc8RaSMOHD5fs7GxZt26d\nfPrpp3iQWCMnn3xynfb2xhAwBAwBQ6CVEGCoGxazvrJCiWMYGRavyXsfop6iQA4SPBJJzCuC\nR4d1hbDg1lpHlAGH90jJE5fj9FyQIFHogBLPIEqa+5NUmwOCVTBzkLzxuAbISdLQ/cWTnq2T\nKnr38cB59EKpIATC+dAP+4vv0keq1i4OhLipdwQhWSBe/JFOyJNyDP2n7DsBninUb8ICXT0+\n9EyRjCHETl+dtnzlfnqNQCJqCrfguvGS2GdIYG4kibUEjAFgvc66WfwMOWyHxsKrzPkhKSKp\npDeJwYaVmFc55kCRif4glFtzy9ps9BfueWiD1+JYKUGuhvFxvLEy9Uris0DFQRUWiVXH1o8h\nYAgYAlEg0ChB6t69u7z33nvBLkmOxowZI3fccYdcccUVEud6ykSSdNRRR0lycvv8IgpOwjYM\nAUPAEOggCARyi6BS5wepYYgdCEr26bfIlscvk6rVi9RbpIVTSU5wTJXoMHfmJnnTMkEosI//\nMYQL3iglSMztYagdJcBrCZJ6fEjGGMKHYq6djvitVG9ZjY78CKeDChvIGT0+SpBq+yFZY34S\nF7rpB03GeBZK9Tok97NvFEF1G8UcSPR0HCwUywUy+tPcIyzIObc6RoJE82Ghjv4zJl0UIEfY\npXPU9qAcGF9S1z5SK1Ghp7SHX5tAaE98+wHJhjevX0aO5MAT9kPeGskDXhg0SJNP1euYm0Qe\nqGp8MSQiLcGAJI4EjsZiwNu8SS3pNXBuYp/dpPOxV0r1huX43LS3u9by+VkPhoAhsGMggG+d\n6IzKdUOGDJGrr766DjliL6x/dM8998hTTz0lxcX8I29mCBgChoAh0JoIUJKbinWBnCOSjEAY\nmg8y3jX5G0AgQCxAVFT6Gyn1YA86nO5/fl2SdzsgcAxEJOf3D0jyHgcqQSqd8xYW5FCU0xC7\n2tGDkCRA5S5l5ERwFSyO6aVhCJ2zaGe/8CDR/CBYvE5cRhfkKSHHCZbYe2hAWQ+rfYbZFcwI\nKQehniL0ybEyJA/hgsxjoneI16opKwkUt9Xe6DjCtXANXxVIFIkbBCOCRrIH74uq7uFaDibB\n4+1ggzlGdBklY76DO/eQrhCXIAli3hH9MeAdAYKkMgiksO3HGGLH0MCA1RaOjdHwqMKYOmqi\nehzNgxQjUK0bQ8AQiBqBwDdlFKcxt4hepUjWuXNnDbPbsoXF+swMAUPAEDAEWopAwVuPSO7j\nl4fthk/ZU/b4BcgIwt0YkobFK81DYkSjZ4ZhbyQdkOd2iq96a1XdNNyOoVzw6tDoDfCBlPhJ\nPkh0HEN/Sf2GSUJOn8B1QEJYt8bP+DD87wFZoseHpt4mvGfYnwdCDo6HIWWv8YGwPpCbikVf\nOD0HXunhUtIFklQNUQWcV712ieQ/e4OStZIPn5G8p67edg7bY65eRjGQnPHHMfaDBTypmLIN\nvt/O9s2mn+Xyz58LjqISWAUKw9JTBPzBgBhkR+JEclTHg4T96kHC/vZg9CBV4B6W4zNFI+GN\ntSnhNw9SrGG1/gwBQ6CJCLi+UZp2xiGHHCIzZ86UJUsQJhHG7rrrLvUwDRgwIMxR22UIGAKG\ngCEQNQJcNFdQMKG+seYRw9EyT7heFeAcb4kH4XNcdauyHSW26XHxMsQu5M8+j3GBXkuQSDri\nMnvogtypP5T/yh1SvvpH7U89PGzPfrQvEhuu7kGWeA2Yv7wI+wLhcurZqQ2PSz/olEAhW7IB\n/riMogs4Sc/zo/4P86N0zswdwnWUdLlIkI4X/cb3HKRjdc9LQ7Oc/p1X17W2x2Yh8rrWw6vn\nGIkQc3kowkB6QTR8+C8RuJEckTw5JCrA8gJtnPO35ysJ0vLCTXLVrGk6docAx3JMSqzD1eOK\n5UWsL0PAEDAEIiAQ8k0ZoZVr969//WsVZdhvv/3kyiuvlKlTp8r06dPl/vvvl5EjR8qLL74o\n11xzjesM2zQEDAFDwBBoCQIkG5VrFkvJFy/X6yZQ8yhJknaDaALJQK0HKee39wWFESiYoCp2\nLg+S01HAM4EwNBIlWNKgkcgBuUISeg3GOYE8k0rUpin9cIrUQNpbCZjjqSJhoQeJryRLtR4k\nEit6rUiavKjBpGF+tRfM+cMjGnpXb7lPgsSxM0SQHi2G2LEfeLrUU4V9DqmqKcpF/3Egct0l\n59y7JXXcZInvvmvtFRC2BgGJnPMfUA+Tjk3pR/Bwm29UYez/WTKrznVJkEiCtCCrOmCAH8aZ\nDNxYCykBghoq0kDvUe1/sffT1BlSk98kYmw+uLmq4cUjmXMXlW1yJ401xOfAX5unlv/y36Xk\nq9caO8OOGwKGgCEQMwQaFWkIvVK3bt3km2++kVNPPVXuvffeYOgE2zH07tVXXxWSKDNDwBAw\nBAyBGCFALwPC1arz1tfrUPNv4P1RDwrDymoJkpIlhsCRbHCxCfLioQIdFtuhlnbA8XVyeJgD\nIuWFyEEqUmHtOHijvCAd/uL8AInhdVgnp9aDxD59uE7pN28oWfFTaICEC8fpCeh07LbwwITu\nA7QIbE3u6uAwSn74JJBHxPb44Zjjs3pKl/+bIoWv/E18vI56pwJjp6fKA2+YUzy202HnBPty\nNij4oHPHKerhcg5sh9cCLPQX56+XPhBjcIwiB/QgkSQxRI2/a4Brn7RsWVawUbYA+9dWzJUe\nKQGlv8cnXSCFBYVSXr79hQv42eKdYB4SyRy9YFd9MU2O6LunHI6fWBjl5n21XtOq9UtVUCQW\n/VofhsD2RGD9+sDf8J49e27PYXSoa5eWlsrmzZuVg8RSJI6PrKK2Ll26yLvvviv5+fkq7U1S\ntGLFCtmwYYORo6jRtBMMAUPAEGgEAXhiNFSOnpoQY3iTlwtvtiFxqfUEsRlJgoZnMd+I7gd4\nkDQPiQddlnnCtSARdfN0VM2uNsTJB9W6zsdfI2m/PFUJmIbDOYpz6kDCuEACSr9+Q/KfuUaq\n1i1Ff3j+BhKVhtpGKbv/wnU1kfQxR4s3dZvE95ZnrhNfCciXzpMdBohQXBKU7DQ0kGQH4Xu1\n+7XQLImg875O77VveH0QLW3Thq6X2RuWyas/zakzohIIaZCkuUPRKJM9eeD+MoA1ofTmeGRo\nVi+5YdQx+o6kgwRk/x6DZHjX/looVklvnZ633xuSO5I8epKyIZCxqhh5azry2IxJP3/IcSqE\nhHzVumWx6dR6MQS2MwJ0IEyaNGk7j6JjXf6tt96SAQMGyEcffRTTiUXtQXJfvVOnTs0qIuvu\nw7YNAUPAEDAEGkFA6wBBdCEcQWJeC57il375msRjIe2E2LHHVNQVKpv/oeYXaZ2k1AwsYeuT\nrHBX5xN8R0XMi3C3hG79tFnVxhUImUM4HAkVCQrq+AReqRaH0CuEXQXGCS8DPT8RzBGO0MPo\nJ5BjhD5J8px5OuF27Adkx4dj7F+9ZrhWQ7zH8ahhMIHxRRhHrHfPy10li+AtOnbXkcGuS6Cy\nlwCySDLhWCXmk5GUIomlUOgjyQ1wQj2cg7BEhthxrr/uv4/s1q2vc1q7eVWChDnQg1QCIl0K\nMpPBfLEYmRJ99Muixfo55GfNzBAwBAyBNkKgUYLE2kZHHHGEjB07Vh599FF56KGH5JFHHml0\neD/88EOjbXaEBnTXsVhua5hTQyo9PV3S0lwStTG8mHMNFvNtTUtMTNTctNa4Bqu604hRSkpK\na1xCEhIC0shZWVmt0r/TKa/TWvfCwSk1NVWSWBi0Fcz5t0C1ytYyPiXn57a1cHKewvPftnPf\nYz0X598dHyK5vQbNvU5NWroUYSHKe+vg4lwjBZwirks3yTzgWFkw/S7JwnZCVuDfe/b5d8qy\n6yfoeVRKS07vrAVYnT4aGk9Bp0z16niKNktaz12D162sLpI8D7wGOV0Q7pWHbSxca71P8fjc\nebnSRx5NYnKSxOPfa6RrFaakSXJC4G8rlegScF42ohMqqgtlK87neTXJ8VKIf/6+xCRJiPOg\njtIPUvHaPZJ98ClS2XeoZO7/a8mI8Let0lcqBejTV0u2Io2jIQyiOeb8205LTZPNG4tlaXmu\njEEeF81btlkS8T3ijffK98Ub5LM1C2V3FNDNSUmWtPKtUIOrkmRglVgR+Dv6/uQb5cRX74Vk\ng0jXnBy9f+ynNf8GOv+2m/o3MAH3jrlHU5d+Lrt07i6d/GmSnpER8X5z/DRepyn3oji7i5Rs\niJPqpEQpxz10f/YDPdX/3ZZ/AzMzM2Pyb7v+LMjnUZAZ33tNwSnc+Y3ta4u/gfqgpLGB2HFD\noB0j0OjKn/9IuYB34vq4EOb7ncUqKyulqKioVabLP/jEkvGTvE5rGL/s+IVUULBNPSmW1+Hn\ng4vxKtQiKSwsjGXXwb5Iirj4KCsra7X4ey74OQ/OIRYL2uDgXRvM36tG0ntr3QuOn/MgTvxp\nDeOCnwtz1jmrYaJ+KxhDePnl2lo48bPEv2MVFRVSUhJeGa6l0+K/a/67I0685y218opKicvp\nrZ9/B5ccLJy50CktyJN4FHP14N84c3KKSssQjrXt33sNPBHl+PtSjZpGab+6WGsLOX00NK7y\naizP1y2X0rzNAk254P2oRv+sPVRYXCJVJaX6OWA6UtKAEeJJz5SqvLXqKamqrEK7yJ/3aog7\nlJcUow4tFprYroIaX2FRsXhzdpFet3+o12Mx2aqKctQ/Kpayue8jLC9DyvK3SNHWXJCmNPH1\nGx4cV+hcqjk2KvwBI4YnNmXOoX005T3779q1a/DfdiVyhNYV5cnfZ02XTCjx9UAoIcPkkG2E\nNjXyxaof5fstq6R/apakISfsir0m6GUemP8u0qyqguNkPhLjIsuLS6UsoaxN/gby33ZT/wby\n3396XJKSOx/mVclwuOKi4PjDYRfN38CKiiopK8bfY+Dph5eSuVeN3UP+uyZxYVt+r7aGZYAE\n8juJ6wL7GxgZYf67aK0HmpGuyof4JJUHHnigTJkyRebOnSvDhw+X008/Xfr27SuzZs2Sl156\nST8fzKP/xS9+oX8f3P19//33Kja2cOFC6devnxx11FFyCNSbHVu6dKk8++yz8sc//lFmz54t\nb7zxhv7bnzBhghx//PH6nfLkk0/qMfZ/0kknCb/TQm3t2rXqbKAi9F577SVnn322jtHdjt8d\nrCv61Vdf6ed5n332kd/97nf6Pe+0o8OC/644Pzowdt99dznvvPP0b5LTpimvnPc777yjmB1w\nwAFyzDHH6Pzd57755puaVkMM+O9s2LBhOh43J+B3N4Xb3n77bcnLy1NVa4YUjhs3LtgVx8l/\nq5yL23jPWCLo8su35awyt4j7Fy1aJFu3bpWBAwfqPXH35+4jltuNEqQePXrojXYueuyxx2r8\nZO/evZ1dHfqVN7u1/gg6C/HWvIZzc1p7DpxLa12D+NDaCifnvjjYxfK1LXBqi2vwXrfW/Sbe\nrTkHx/PSmtdg37RYfWZZFDVt3ClSU7I1iLtzDRZQjcNCW+8HrgvRbYSjucgrcpLADxCmhIcw\nKEYanxOoVacDbOgXiFXpygVSVbBFkkYdFbwuBKiViNVgivyX6WF4WFqWJA8/VCp/+haqc2nS\n9aoHJf+FW0GUOBTXWFzX8yNErgqqeDUVOaABbIgQOhz3u9ozHFDV9+CpSEKtp6rVi5XskPjw\n/Eh98zLEwYc8n8yxx0tK/2FSVhF+HK4hRdzMhejEOTMfk9cmXVavjeO1cD5PvPNUdltZtEXF\nC8oSsZiGGh/lu0l6agAKQ+2KMYcUEAxnDiSJ3B98j+3f7XawZCVuqyMVq89TvUlgR/DzBPyd\n7XDtnH1Usjt3t4Pk9rmv8ROHOwUCiHOd8Tvtwr02pY2PIYaVIEfADFA06d9SW3xXONhwDk2Z\nR7j5N3Vfa/Uf+plt6niiaUeC1Nb2+OOP68L76quvVuJDj+sLL7wgzz33nFxxxRVy/vnnKxlh\n/jyJxcUXXywPPPBAcJj//ve/lfhwx5FHHikff/yx3HfffarYzBI2NJKDm2++WX766Sd5+eWX\nZfTo0TJnzhx57LHH5J///KeSq3nz5smIESN0oX/VVVeJQ7a0A/yiUMOoUaOkV69esssuu+g1\nqAT9+uuvC8kJjcSAxIKiaEOGDJE99thDbrvtNnnwwQeFRIXvaSSFJCsLFiyQ3Nxc3XfGGWfo\na1N/zZgxQ37zm99I//79VY369ttvVxxIJk844QTt5rTTTpP//Oc/OpY999xTieETTzyhODJi\njISHdtlllymmbDN06FAlN3fccYfcc889eoxt/vWvf6k3PJQgURWbhNEhSJ9//rkcd9xx+sCX\nuPDBLzUPeC94r88991x212oWiF2KonsCQla9ePHiKM6ypoaAIWAIGALNRUDV2BBm5uQEufvx\nY/HNoqq05H2PBEGpG4ZKye60A46ThL671zvm7id0O1CoE0QEC9S4rB7BwyrzjSf6KuqA0Cc/\n8miyIbWdMuIwJSRx2T0kLr02pLeBRZInLlFyp98nKx+5FH2T1FFQAa4olzGnKUCYQJXgjSHt\n8TEnBd4KtxiF65TgpopEYOydRoyXxKzuwf3N2aCgQjVzrZpoyJLSlvzNXKMVIEvJIKrcT28W\nF9nVeI2vDR9m43N2P0j+Ouo4PY+/eG4q8sDaq0097IKAZ4whjLjPgaK3TceosXk5Ig0BpUKg\nEYC0sdPs+E6OABfVXOwvX75c5s+fLzfccIOSh0svvVQ9SPQqcf3KsjT0zji2bNkyJQX0+tC7\n89prrynxuf766+Xuu++WDz74wGmqr/SQ0KvxySefaHt6UehVogeHqSnc//zzz6vnhyTNbRs3\nbhQSDhIrkqzvvvtOPcQXXnhh8OHEtddeq+Tov//9r46XXhkSL0YbXXDBBe7u5COIE5AUMWLh\nxx9/lGgcGCRWp5xyinplSORYqmfNmjUyZswYIdFkpMWHH36o5Ijvid0rr7yic/zDH/6ghJGe\nJxq9qvQOcT+xJ8FavXq1kCyRJEVL+K+77jr19vHeUBju008/lRUQhONDTl6ntS1qgkQAaXTn\nmRkChoAhYAi0AQJY6JP4hCVICENjrSBa9mk3q1CCe0SJIEbxyHfpeulTjZIK93kkQj6IC1Be\nuw7pImmhVxceEf7EoV3SgL2xjYAEenbgFXKsoafIJD8UgqiGdLgKQiBHysllcs7XV1UvgOAD\nyQJwYGFcp/ZTnXahb0A+WMfJ41LLC23S1PckOQFh68bPYDt6gjh3rukrQK6oRpcej/wsHCMx\n4v5q7It3EcJUEKj02vuoV0Ejko72bhRroIuHY3WLULR03PrZ2LwS4ZUIFyVg+jloaa92fkdH\ngP/ubrnlluA0HcW4yZMnq9eGBxhmTSLEEGvH6/Lwww8r+SAxcYfE0fPE9qELcno/6HGh0YPD\nPH3aX//612Aayvjx43XfqlWr9NX5xTBA9xjpdCC5IlEigaOHi+SNXhN6UBxjO4YGkiiQgDhG\njyC9SwxppNcmGiO5oWeGXhnHC0QCQi8Pa50y5JZeLnqPSBYdI84MKaTR2+UYx0LS5ciZ8z09\ncQ6xcdo19sqHSCRI9KqxhJBjffr0UfLmvqZzLNavjYbYhV7woosuEkrq/fnPf9Yb4uQmhbaz\n94aAIWAIGAKxQUBrGKV1hjelSjbfe4bkXPxYsGPWGfKwGGuMLeBBQv4PCJIXMs6OaZ0lLPKp\nEhdUm8NBlRSnnHV6ljZN3HUf8TqeJOdk9yuEGKhkV0OCB2+SHzVvwqneeTxUqwNBAcGgl8mD\nsfhKkReKcxs0EDc/FtfJvQY22KwpB5UgNYGslMOzVVQFzBhbCOMTSIaeLcnfoDLdXnrcgB2J\nhBIkYBjJSKOUfERq0E720wvG0EgSJCraxcroQapcNheez93QJfAEZmaGQGMIMGzNvS5lfiDN\nITPO+Y7QkOPVoGeEi36GrDF8y23MF2fol9t23XVX91vN+SGR4vUdC72Gs5+5O6H5WQzJo3Ec\nDBUlQSA5YQ6T2+jdoXE8e++NB1MwOizcc9adTfxFUsZQxMGDA4IyzmkcjzMmYjhgwAD5+uuv\n1etFRwl/mINFc3LomZ/HELs777xTvVj77ruvTJw4UZiaQ49dNMZ7wTBH5h3RY0XPGLH59ttv\nddtNmqLpN5q2URMkust4c1kk9h//+IfeGCYLhxpdh2aGgCFgCBgCMUAA+Q7x6TlSg+R/Fs30\nFeKJXe+AF78mf6OGOMXgKnW6YI6PhrfBs+NJyQgeI3HKufBfgfdYHAeXrfQ4gSDE1Yb4ZRx8\nRvCccBv0UJFs1cCD5IWinQ/EIpzxi1KvgcUHCSLrJ/kgOOF1jSnceV54Y3IueAi4BQhbuDZN\n3ccQu6b4cmZvXC6v/zxXQ+k46Ep4iSbBu7ayMFdWl+RJEUUnuPjBf/QqUco7kp099EAZ1Hlb\naGOkdtt7P0kc58PXmBIk3N/4rv0wPSIf/JRt7+na9ds5AuHWoxyyo9LoDN/JJXPeUxyAQkeh\n7XicAgxuIQLuC3cdJ7+Vx2mh1wjsFaHYUag5/VNghGOhkUQ5+WJOe3qR+EMy4li4sTjHGntl\nOKFz7UhtSdQoVkHPFcfkkCeKYfzlL3+pcxpD6caPH695XwyLu/XWW/XnzDPPFKbohMPX6cAh\nq8575iQxXI+ePhI0ilScddZZwTBAp11rvUb+6xzhinRr0f3nMEs2cxIjI5xiuw0BQ8AQMARa\ngIAWSYUqXkKPgVK18nvIbyPsqNb8JDAgGrG2+Ixs6X/+PbL83t/Cg1TXQ5U8eHTgclgUO6Fn\n6v3RcLxAuF9j4/F2yhEfPCssBBvfpZ90uWxq2FP8IGH0HtCDxGvEZfUUH8L44jrXV4YK7SBp\nUHRPLUPPd96zIKpj/L4rx3uGxLntsBdvkTMGjRU/1vNdsbivwLzoeRqR019+2Wt3bXrNrBeU\nRAQ8SHVzkNx9cXt878A5ofvb2/vr9v21PL9stqzHZzKWIXbMq8uYcL4Uvvek8aP2dtM70Hgc\nEkOPENXiKMBAUQS3UU2uoYW9u224becazrENGzY4m8HXlStX6jZV2iiORuM4KDDhNpKIUCLm\nPh7tNsPnmMNEJWJ6wBzjGCnecOihhwoFJEiOKERBguK0Y/4UzT0/jo+lgeg54n6KTDBUj0p0\nJEnsj+Pn9ULNHYrIPC2KMJBr0INEUugY+3Jf09kf69fI/v0IV2JyGF1cjf04p9MlN3PmTOet\nvRoChoAhYAhEiwC8DSo6QHEELMw1L8PpA19Imv/jvI/Ra1ynLtJp74M03yeStyYg1FB7QXhD\nSHY8TSwWSk9QTeEWDbPD5CKOOrH/XlDJywQJRPjKXbMlediBUgmSGEraInYQgwMkOuohATn6\naP0iOeeDR+VXb9wDQuAL9s5aRlW4F/zinjxofyVCccib6eQSzWA4WnWtB4miDyweu6Pbnjl9\nocaXqClCsfQgERdvMp6SU33RzBBoZQSYk0Tj4tttzPWhh4UiD7Eyrp8pIuG2Z555RnOZSAhI\n1kiSKMxA743bKO7AnCeHULmPNWebeU586ENBBbeRFHG9z5A+ruMZZugmR2xLiXOaU8rCCdej\n8h+N3n+q/FEtkOYQQ2f8bil+qgK650SM2C9zsNzkiCqCDC90rqkdt9KvyN9KMbogJfmoCW9m\nCBgChoAhED0C1fmbpGrzKqwW4wJeFIS4sT5Q0NSD1HoL7R5n3QqC0jl4uTob+AJ0TD1IVHrD\n+Jpi8Tl9pKa0ULwUX3D1E3pu1sk3QOL8ZEne40A9FEfPE0IMWyPvKvTaznuG2CUAfxIAJUEI\n+WIOEcnONqMyXY2G1yVouBnDwuBfc82NhVXZB1FjiJ1bxW5bPzvgFibE/KqaWjxegEfpz1++\n0vKJQLlR1Q1JREE8zQyB1kLg97//vSrQMXWE5IBCAxQmoLgDCRLV8GJl9KAwv+Z///ufCjNQ\n8OH999+XG2+8UWsc0UND0QSKJzB/hyIHJCkUjKAiHgUdQnOqmjs2kh6mzZDEPP300yr+8Pe/\n/10oWsEQOtYbImkjmfnTn/6kqnXMPaIeAVX6aE59Mrajh4jnkyRRdY9t6JUjhvQq0Th3imNQ\neY/qgLwu97mLVHNMxIFhedQ9IHmaNm2aHHbYYRp2SMW81vYixT4uQ6dvvwwBQ8AQMARigUAN\nyFHFws9FjrsqoOSGTv0UKag1SoALvCutZZkHnhD8Aqx3DSz43cYvLOYoNcVIuugJiwfhaWzp\nmzbm6GCXrLnkKyuCd2GbcETwYCtt0IPkkBsSmxrMMwmYkyRtM4+SHmIQB1ySEfZ44bBDtx3G\nFsPySqAMSPU65iexzw5huIFukYYSKA3mVRS3eGpJg0ZL2vhTpXDGP1rcl3VgCDSEABfjJCJc\n+DMkzPFQULyAi3xH7KGhPpp6jDlNVJujChxDzUgeSMzcXioWt6WqHEUPxo8fr10zzI9hZ7Ek\na+yTJIUEkQVmnZQZjo21okjmWBeJoXPMCWI9I+4j2aHMOdX7KAPujInEiKF0Ti0jPiBisV6S\nKqr30ThPeoHYH2XMmU/F86l8x/c0Ck8wvJBklflPHBcL4jKniWNhbtJnn31WpwCtnhjDX0aQ\nYgimdWUIGAKGQMwRwNPz1DHHiDezmyT0HCzx3QaoWIFzHVW4a4UcJKf/Bl9DQuOoasfQuaaY\nN7WTFgL1glDVuLwsjZ3rhegCaz+1pQeJw2NhVHp/6CWiEh1rFFGy2zEKFZT7EGLIxrUEav8e\ng5zD+jqm20B5ctEnSpSqaklXnQY76BtO2ZE35xSYh0Ui2VKjVzJ15EQQJITsuLBuab92fsdE\ngDlEoTZo0KCwngbKbLultnkeSRDrAFGVjbV3qEJHVTq3F5iy4eE8F88++6zwx20kEqFtmZPj\n2E033aR1gjhGtg01Ktjxh6Fp9LgMGDBAFefc7RiK1lKjIhyjveixYqgbpbQdBT72TWLD/CMW\n0iWxoffKUeFjzSe3MW+KZIhCEyQ8HLNbUIJtGa5HGXNKpzPviCTUmb8Tnsd2J554ov4wH4lE\nkuNyzF0LinWvQnF22rXk1QhSS9Czcw0BQ8AQaGUEfCADFGeIQ+I/i7Him0BqUCw1aHia1hoi\nDcH+G9hgIn1Cvz23tWC4Hxa1TTFPSifUNCpvcs6S0yfnmjz8cImDiERb2NTFn0kJ5cux6Kfn\niOILpEWUp3BybhhaxhAz5iHFoSGa1VlUOeNMAxkM1D/yBkLsQgim025HfGWZotXFeXLqew/L\nwRClcAtbtGg+zG0joGaGQBshQM/NHnvs0epXI1FoSt0i5iM5wg2tOSiSHoa2RTIq6u22G2X3\nGzfWknLXkwp3BufflP7aQtI73PiMIIVDxfYZAoaAIbCdEahYPlfKfvhIEnvvJqx1FDTU//FD\nTpumMtxNJCTB82O4wTC5Lhc8GOyR4X5N9ex4UzO08C3rIMV17Rbsoykb2afd1JRmMWnz1qr5\nkNvuHgixg1eEoXHgAkHRBl6EpIfEiLlKrHuESkdhr61hefCEMLSuI4XY9U2DBD1IzGsr5mDe\nwAFEuQsEFkgc41r4+dT6WvQeGUkK+5mynYZAKAL09LgV4UKPO+/p2WFhXLPwCBhBCo+L7TUE\nDAFDYLsiwDCysq/fkISu/cXjUkJjcVWV/cboVOIbT9jbi/lJHtxkroGBUQEvsceuMviaqVJQ\nVikVFRUNtN5+h+i7oBhDPLw9zB96+If3pRvCA7nwd0LsGE5GD9IXG5bKAQir65eRI/0z6suQ\nJ+FeKZnCuVUgER0lB+nM3Q6Ur1AD6u1V30sS5kayyP82lRVKTygQtsg0vw5eOWBsZggYAo0j\nwJA8tyJcpDOoJmcWGYH2880aeYx2xBAwBAyBnQ8BEAh6aKrz1ktin21hDZT5rlw2V5beMEkG\n3gBp1u2VfxTmjjD8jZ6hplq/P09H6GC6SFleU09p83Zaswh5R1SxK4XnrjvIEVUl3IVRSXoo\nUpCNsMGb9/uNjnH/HoPrjTUR+JBssUAsc5AS0WdHsUCeBkQ6gMOPW9fJ0MwesqW8qMUEiQV/\nu1zwsFQs/VKqIQsfD/l5M0PAEIiMQGjx1sgt7UhDCDQtWLyhHuyYIWAIGAKGQOwRYE2hpHRV\nevOQRDiGJ+rMS6qBN0ND2toRQepx4xuStMsIZ6Tt6vW8Dx+Xj9YujHpMrHVEaW8q0zGEblh2\nX0nDop1KdI6sNT1I9JiQRDVkSSRIIFv0sBQitDAFZLejWHUN87Do6fHLoE7dpR/C7grccvQt\nmKiGY6Imysa/TtCwzBZ0ZacaAoaAIdAkBIwgNQkma2QIGAKGQNsi4K+plLg0KL3lb9TisM7V\nPVBP81WUSAKepFfBu8T6SGaNI0DvjyOq0HjrQAsSH3qKKhAOR28PRRhIckiatOgryA5NPUhN\nIEj0IJFUMYcpPoxqlXa2g/4i8aNwhQdqDWX47FLJrriqPDazQdierwrKhSCUKmsfm16tF0PA\nEDAEIiLQKEFauHCh/Pa3v1W5PvZC+UNKAZoZAoaAIWAItB4C6h1izZ/ykro5SMzJKC8Wb1IK\nFo1QgdMcjdYbR0fpOZISGsPA/rP0C53m3M0rZCNqMzlWBlLF2kUV8BzRY0QPEokSBQk0xA5k\nh0aCxNAy5ik1ZEneBCVp1BtIies43iPOmap19CDxP2JDWfRYSH0rnsyzqyjTGlt+kFQzQ8AQ\nMARaG4GG/5rj6tQ8ZyXbTZsCsrK33XabUAe+qXbOOefINddc09Tm1s4QMAQMAUOACCBHhfkX\nvtLCugQJUtF+hC5RYtuHMDsUkDC8moAA6xRxAe9YNRb0W0E0VxZtkZeWfaW7/zn/XZm9cZnT\nRFbgGPOFmIdEYlSBOkfJDHEEMQoVaSAxIIlqyAIhdiBVGAb76UiWjs9lpwSoLWJuJEgMN4wV\nQaJ0fEASHkWI4Z0yMwQMAUOgtRFoVKRh4MCBOoa77rpLzj//fPUkFRcXy9y5cxsc27777qvH\nWQDLzBAwBAwBQyA6BFTKOzkNC8NS9RYFz0aYFr1L9CBJJerzdLCFdnCeMd4gyfm5YLPkJK+S\nvXP6yefrl8nDC96Xy4dPxJUCxIkheHH0FMFzxBC6OZt+lgO6D5LXV36rinMVwJ1S3WxHAsBw\nuYmv3yVPHHVRgBjgnIaMIXbnDB0na0u2xow8NHS9tjw2Bjj9svdQoSy6epAw16qK6tgMASRV\nCVI8Hg6YByk2mFovhoAh0CACjRIkFo0aN26cPPfcc/rj9DZy5EhnM+xrpHCGsI1tpyFgCBgC\nhkAdBAIkiAQJYXQumW9vamdJ2edI5HrEy5qnrpca17E6HdibOghQrvvrzT/J+rICJUiaMwNP\nB+W2HcdSgPh45epZ02R4l/4aWrcXRBkYWkdCxBykZMqs4z+G07GWEY8tQS7YCMixnz/0l3Wu\nGe7NWbuNk1mQA19WsDHc4R16H71oNIpQEK9KiFvEwhJ67CJZp98sha8/YAQpFoBaH4aAIdAo\nAo0SJMZVf/DBB/L+++/L2rVrZfr06bJs2TK57LLLGu3cGhgChoAhYAg0EwEsxr0otqkEyVVb\nyAuvUtYpf5Gy6X/XRPi4rJ7NvMDOdRqFFUiSAkv42rwhvCfJcYx1jVjPyIvFPZXrHFlvkqBM\n3AOSKYbcsR96SabV5i49Me99JUxs0xQ7ABLg/OloxvWC5iDBkxYIsYuRBwlAxXXupjlIkG/s\naLDZfGKAQH5+fgx6ia4LqyMUHV47WutGCRInlJCQIBMnMgwBeZIo5jdnzhy54IIL9L39MgQM\nAUPAEIg9AiwG6+2EmjsUAEC4UqhxIZqQ2U06n3t36CF7HwYBhtgps6k9ptLcWNBXImyOWDLq\ngbWJGFpH8kMyVIwcr86JqXLMgH311DKQ1gzkhYFCKZH6Pm8NzhMZlNVD/givngQ0G8JcfefY\n5ZBP5npRpMFNPmOCgKtIckz6s04MAUPAEIiAQP1v3QgNnd0XXYRYa1g1ahJ89NFHsnjxYqmq\nqpIRI0bojzFqByl7NQQMAUOgBQhgsR4HFbvuN70TvhMs5D3wdOxMRhJD6egMhBVSeS4f9aDS\nE5LlzKEHNggDvUe6eMcvhsfRM/T3uW/IAEilc5viCSRM8cCTRIrhc+XAv6S6QtIgPvDHvY+Q\npxd9KuVVlXo99kIiFTjHqzWNMpPTxV+6cwsIdEWhXOZokUAGPEjbvHMN3qAmHlSZb5DUoo+m\nSvq4U8I+OGhiV9bMEDAEDIEGEYiaILE3epDOPvts+eGHH+p1fvvtt8uf/vSnevtthyFgCBgC\nhkDTEdBkdCw249I6hz2JC/6djSAt3LpWrpn9orw+6XL5YM2PqhqXA2LSmDEXxiE/DLIrBfHx\nePwqtkAJb8p0v7BslnRBSOOHKCbL/KBOIGFZ8B6RgNF4fmF1uS78ybYUf/ymt6QYeWIZCSlS\nKDs3QTptyFj5etNPmtPVKgSJnlQQ2qI3HpbUkb+SuIzsxm69HTcEDAFDoFkIRE2QGOd5zDHH\nqAfp3nvvlTFjxkh6erqsWLFCnnzySbnuuuskOTnZcpSadTvsJEPAEDAEAgiwUKwHIUWRzI+F\nOZJlIh3ukPs1TM6ZmSYU8VfjtqpgixIaeqD4w1A5LuDpWcqF1DdzjN5e9QPyjNJkK4rw0qvE\n2LlNOOZYArBmXaQU1EUiPcoAcaKoA6W9GZJH2W8zkXMgQpGdBG8awKiMdb4QHhg4hWL9sSpC\nazfNEDAEDIEwCERNkB577DEhSaLM95AhQ4Jd7r333nL00UfL73//e3nkkUeMIAWRsQ1DwBAw\nBJqOAAvD+rgwRw6HJ6GBYqJYgXqwMN+5jNlCAWOoXPANds2ER6kAkuijuu4ifTNy6sBy71ev\nyWYUhGVoHqUaVMbbE68y3YWoKUWCQ09SDgQwNpcV6blbcA9SXASVhKoMpJX7OIb9IbLQMzVL\npi79XHqmZ9W53s78hup/tPUl+RqCGEss+O+B/z4EniQ/wh3NDAFDwBBoLQSi/nadN2+ejB8/\nvg45cg+OtZKWLl0q69atc++2bUPAEDAEDIEmIFD4xoOy9bm/iJ8L9QYKj1IxTLBo78jGQq5u\n87lUEJQggSPxlV6hW+fMQF7SbBR6Xe4+RbdTsLCuqfUekVdtKC2QA3sNFubMFLDoLrw/DLOj\nIAP7Yq/bvEWB7qhepzLfcQHSSpJ00uAxcmDPIVJi3owASK7fXRD6yHyktcV5rr0t26xBHauC\n/96ltb/8LJJsZggYAoZAKyEQNUGKQ9X2ysrIT26cYzUxqn/QSvO2bg0BQ8AQaJcI0HvkTcZC\nHR6NhkLsuIjvyB4khrpNfv/huveI3KXWbeSE25GoUCyBBV77QtRiE+oc/Ql5Sm7rlZ4tx0KJ\njt6j1cW58ujCD5FflKb5Q52gShcHUYEaHEvE9xvb0E9VCm9RMhb4jjnCDY5XaZsvi/lJUQdj\nON122NcEeHmYx0VPXKws8zfXSHxWdwCO+2IEKVawWj+GgCEQBoGoCdKoUaPk448/lq+++qpe\nd3zyduedd0qXLl2kb9++9Y7bDkPAEDAEDIGGEfBDFdTPRSXyZKjaFdnoQSI96JjmyG+Hzk49\nR9jpU+8RaWKAICkU8Kr9XLRFfty6TsPnnHMrIdnN/CI6h7ZWlkgX5MjQc1Tjr9GQukkDhmtO\nUjK8Q+qRwm/mFyVSFKDWKNLAMLxU3BPlabX72SfD78zqI0CsNJ+r/qFm7/EifFJl2c1r12wM\n7URDwBBoHIGoCdJvf/tb6dWrl4bZXXrppfLcc8/J66+/Lg888ICQPL366qtKkhq/tLUwBAwB\nQ8AQCEXAEx8vvrIS9SAx1yKSKVHowDlIJDWh5i4z5ITbkaDQg0Q57kGduqnkdjYKthZWlQVP\nr4BkN6W8KcpQA2Z15tBxct7uv8Rx1OvB/uN2GaVtU0CQanzoGZ0mgvTQa+SYI+rQDWF5pKUa\n4ohXepwS4Hkyq48ABS2YtxVL81DVEUTYTyENM0PAEGgRAlOnTpV33olQSqJFPe/4J0f+9o0w\nt5SUFPn888/lvPPOk3/+8591WmVlZclDDz0k55xzTp399sYQMAQMAUOgiQhgcR6HwqOU+Q5X\nINbpRUO8XAt4Z39HeaUHKdT8IDiOkRjVZiDBC1Qow7J7y7G7jpTZm5ZLFrxFs9Yvg9coVX6d\nk6OiDN2QX0QyQ89Q99RO0jMtUz0RSQiP4w+vx/A5tuEPyVJnhIg5RoKk+UrAfGK/vaVPWkBi\nmpETVLIzq4+AepBiLKYQVyvrbip29fG2PYZAtAiQIA0bNkyOPBKFrs3qIBA1QeLZ9CC99dZb\nsmbNGlm4cKHk5ubKwIEDZffdd1fJ7zpXsDeGgCFgCBgCTUcAC3g/FNfEizwLVw5MvQ6wMKdO\nQ0exrzf+JP/8/l2ZetgFOqVKzSvyqtfHW0sEGVbnGD1IAZIkcsUX/5F+6V3UG8QwuJ6pneXd\n1d9Lua9KZqz+TjJT0iQ5BR4keIeqEVZH8QA14Efiw9wjeqGUIKFTepCu3uco6eeqs0MRBxaH\npf1uj4P1lb+Yu2QS30E46mykxifJGuR8xdI8IK38GPhQrN7MEDAEDIHWQmBb/EAzrtCnTx85\n/PDDZfLkyTJ69Oiw5Ojrr7+WmTNnNqN3O8UQMAS2FwJ8Kr7lkQu31+V37utC4MaDGjt8Qu5x\nFvLhEFFy1HEYUgVC6liPyDF6dCi/zZA3x5z8I77nZ5T/0XsUEGnwqKgCw+ko2FAFIuSFj2hl\n4WbtNxFY0jPE/hhup4aVNveTgJEUMSTMBxbG7d6Q7naIGduSsFHJrp6hLcPxzOojUIV78a8F\nH2qtqdkblsnrS7+p3yjKPfG9hkjSkP2kfNEXUgUvoZkhsCMgQE/NGWecIWeeeaa88sorWkvU\nGTfTVM4991w59NBD9TgdEG575pln5Nhjj5VJkybJn/70J8nLCyhDlpWVye9+9ztZvnybcicd\nF9zHcjy0iooKTXs58cQT1Uv0xz/+UVauXOnu3rYjINAighShzzq7mZPEArJmhoAhsOMg4C8t\nlMplc8SPRaFZ2yLgx8Leg3waQY4F85EimTclQ+JcHo5I7XaU/Qx9cyvDMQeJHptqV1gd23jh\nNmMukRIkEJwVEGUohqIZyYyGyuE8KtPlVRRLfkWpFFeWy8biAj3Gc9hH0IMEcBxyM6b7QBR/\nTYFHiDlIvnrCC1UcT5hQur/ud7zcOv7UHQXmNh0nMR3fezcVavh43SJ5f8V8vf5HaxfKnE0/\nN2ssqfscLtmn3iSVS7+WrVOvb1YfdlLHRqAA/+5zUSahNX74MCZa+8tf/iIkJj179tRc/Usu\nuUTTUdgP01JOPfVU2XXXXeWss86S0tJSJUJ0LtCmTJmidUXHjRsnJ598sjocDjvsMD1G1ejH\nH39cNm7cqO/5ixFd3Md+aAydmzZtmpKviRMn6vmHHHKIetO1gf2KiEDkb9+Ip9gBQ8AQ6OgI\n+FiDh1K6fKJvT8fb9nbTY4KQMK3zgjyYSNbr1BtUKGDTpk2RmuxQ+0leVP0Ao85FiGEJSA8J\nCQmNY0qQKMmNtlSVI5kJmF+JE6WlGQqXRk8Q2qSh/tHmiiLZJbObpLLIKH1OuMw21Tn0Uyuw\ncOuYE2Th1rV1hBmc6/J1Uv8RckTfPd27bLsRBDojB6xLcobWlCLhTfWC+MNmrECh+c49ZGS3\nXRrpIfJhKjziVpoZAvUQmLrwU1kV49BO5yIX7HWY7Nq5m/O20df169fLzTffrOrPBx10kLZn\nmsr06dP1IQ//ft9zzz3CGqI0kqWuXbvK7NmzNTKLOf8UQLv88sv17z2J0owZM9QzpCc08Itk\nqVu3bvLII49oCgybDh06VAnY5s2bpXt3SOabRUTACFJEaOyAIbDzIsBq9boAQZy/pzZdY+dF\no41njgW+NzEJX57wqNTmvLTxCLbL5Uh+nIDBSz97Tkbk9A94kFwhdkqQoOdNDw89RgEvEkUV\nqHgeODsRYXDJWDwzPE9D4rB/wq4jxFMKjxz/q5O45ZGM+OTgfDNRG6kI8t9DM3sG97k3rN6R\nG42mbTtS3wyh7Fz7eWbBXaeeVNN6qd8qbdzJUrFoVv0DtmenR+DiEe1HcODbb7+VpKQkIbFx\n7IQTThD+0G666SYhifrvf/8rixYtknnz5glD58rLy/U4U1jo+Rk0aJASm6OOOkrogYpHdIHT\nRhuG+ZUDgZoXX3xRvvvuO3n66adl8eLF8sknn2hLXsOsYQRaPcSu4cvbUUPAEGiPCFAkwIMn\n7n7kEJi1LQLE3INQr46iwLCxtEA2lBQ0CiI9PrQaEEQSn0oILNBLRFEFx9iGxOfz9Us1NI6e\nJCVLaOCc/79fXaG1ikigeqR0lmMHj5YDeg+VXigiWwjyc8rg/Z3uNDSPSneOdYFCWhm8pjcj\nbM4sNggwr4vewHKEjPJ+0phr5g5zbM6VUkccDh2TgEeqOefbOYZAWyDA8DeqP9d9MLPtyv/4\nxz9kl112kb/97W9CbxKJE70+jh188MFKcEiUPvvsM5kwYYKMGTMmmGPEdup9rz2hCnX0HCOB\nYnt6rhhml5qaKqeddppz2F4bQcAIUiMA2WFDYGdEwFdRJh7IImuI3c4IwPacM0PKkEPjwQK/\nI9gTCz+RR3+c2ehUHILzl6+ny9rSrRpGx5wit0jDmqJcFV7YWFYgI7vuouRIvUfY6xZw2D2r\nl/xm11FyE4jOjWNPkE5JKdIFOVtjug+SM4b8IjiWI/vtKWN7DA6+Z4je4Mwe8G7YwjsISgs3\n6EH6Pne1fLdllXr22B1DJ+nla4nxAU7lmsVS8MaDLenGzjUEWhUBKjxTMMEdCk2v0tFHH635\nQtdcc43cddddwpwjkqXjjz9e21Jxk8YaRRRluO2224TnzZ07V+bPn6/7ExMD/4aKi1FYvNZW\nrFjhbGpd0g8++EAWLFggb7/9tvz5z39WFWo2cPoPNraNegh0jG/getOyHYaAIdASBPwVJeJD\nouumuya3pBs7tzkIMMQOC/qOYoxoo2/onJmPybKCjbIgd418sGaBTu+LdUvk01ULdbum1lOU\nzFpEWByUQMVP84xAGH8q2CS3zXlNHl34kbZlojSPkVTRg9QV5OfeX2x7MroLCsYeB4IUavQM\nsTCsY6eDLHWHJLjbHhx3Zp36R+5jth09Apl40MLgx4N6DZUk3NtDp90sG8rydV/0vW07g0Im\nPojJVG/4edtO2zIE2hkCY8eOlT322EMuuOAC+emnn4S5PyQqzDPq1KmTMAxuw4YN+jePwgoU\nc6DynBM+x5A7qt8tXbpUPUVsW43QdxIveqaoJv3EE09IUVGR9n/rrbcGEejRo4fUQBXVEXGg\net3111+vx53+g41tox4CRpDqQWI7DAFDwM/ijlhIslipWdsioMqBfo8k7X1o2164la7GxTFD\n4XLLixHSVi5fb/5Zpv88R6/29op58tqygPQz29AcJbuymkoVUyitrlByRVLlFG4lQWLtIsp1\n03PkluPWTuxXu0GAd7WouhwqgglShIcuDLWjZ5DEtkVGLx/ymoLKHi3qzE42BFoHAeYKUdZ7\n9erVMmTIEBk8eLBkZGSocENCQoJKcDP8jWF1JDTp6elaOofeIhoJ03777ScHHHCAnkclu/vv\nv1+FG3icAgz0EmVlZem+K6+8krvVxo8fH5QPp4Ie86BuvPFGyczMVG+U085ewyOw7VFa+OO2\n1xAwBHZGBJAj4MEixmS+t8PNh/ck47Czt8OFW+eSJDzOYpgen3iEDlJpjqb5Q3AxVWOhW12b\n75YKL0PvtOxgflAJyLoHwgzMZUmj1wArbtZISoe4Qh5I15jug6UT6kaZtU8EqBjI2lQMtXvn\np+9Uer13WibuecsI0racjpb1o4AVqAAAQABJREFU0z5Rs1F1JAR22203DaGjqhwFG0iCHDv9\n9NOFP6xfRIJEQuW25ORkef7559XDtHbtWvUYbfvsi1C0gV4pHuvdu7d4IYTC/hyj5PfDDz8s\nW7ZsCYbXkWQ59u677zqb9hqCQN07EXLQ3hoChsDOiQAlpj14Qu9huBOe+npdiew7JyJtM2s/\nF40dJPfIQYwEyVGo04Ku+AJ3FscBn5HIfd++LV/WFv1Mh0DFGUPHyrNLvpDuEFlggn8CclaO\n22WkzMtdJZtQGJbnV/mrtcjrfb+wGkQO1u3xlQSJhJZiGNxOxgKQHj8n56xFY6Z7soVEq0XX\nt5MNgSgQYDhdJGOoXENG4tO3b9+wTRo6xhOYq0RpcbPoEIg6xM5hqtFdxlobAobAjoSAHx4k\nrX8EguTHU3qzNkIAnhQS045kfo9fSIwogFCK8Coujh1lOqovcY1LwuOob5NMpSJ8impyDKFj\nqB2V6yjjTQlvkioWbU1GyBbFGMzaNwJKkHC/GGKXAvGRC0YcoTWQ3AWAmz8Dj3m5mw+enWkI\nGAINIBA1QWIyWL9+/VRPvYF+g4fOOeccoUqHmSFgCOxACCD3iG58L4o8+soDFbl3oNHvsENV\nDxKesnckIwEiQUqOSwBBYvFXhtQFwqJYuNXxMDEFiepm9DZkIGSuAgSJi+syfBYp3EBZ6BFd\n+klneJjY315d+gqLu5q1bwRYi4r3MhlktxoJ4+P67I6Cu3sFwy5bMvpu174cUT65Jf3auYaA\nIWAIRB1it3BhQHEokqsvFFIWtzIzBAyBHQeBghn3SnXuumCoFxXtzNoIASz8O1qInePxSY1D\nXS28oQeJHiAaPUj0DKmCHV7jlDzVSDoIEonSupJ8Wbh1vfyq/wg5bchYPWdVcZ4SJKemju60\nX+0WgYAHiaIaIEhQKuQr73MsQuziOncTD/KZzAwBQ8AQiDUCUXuQLrroIpUlpEyhyQTG+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5SXX37ZaR58/fjjj/V6PP7SSy8F9zsbU6ZM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\nPfUUyUXKbDariHOiXIgSI5+SlJMz2ncr4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Q9XO363cfPtzGrPdy79uc5H6N+9cNVjAiQIShZWnrTw+WXSpd5soXz/sKwOHz7c4QbMHxbn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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_time_day <- rides_taken_viz %>%   # Viz hourly spending time  \n",
    "                      group_by(member_casual, datetime_start) %>% \n",
    "                      summarise(number_of_rides = n(), Hours_per_day =datetime_start, .groups=\"drop\") %>%\n",
    "                      ggplot(aes(x = Hours_per_day, \n",
    "                      y = number_of_rides, color = member_casual, \n",
    "                      group = member_casual)) +\n",
    "                      geom_line(size = .2) +\n",
    "                      labs(title=\"Hourly Usage - Hourly Trips for Member vs Casual Users\")+\n",
    "                      scale_x_datetime(date_breaks = \"1 hour\", \n",
    "                      minor_breaks = NULL,\n",
    "                      date_labels = \"%H:%M\", expand = c(0,0))+\n",
    "                      theme(axis.text.x = element_text(angle = 90))+\n",
    "                      scale_colour_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "\n",
    " \n",
    "plot_time_day ## viz\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 525,
   "id": "674bf3af",
   "metadata": {},
   "outputs": [],
   "source": [
    "library(scales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 555,
   "id": "a7f09331",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VS44NbrGuEeUk5OnKqUsunUgbzYoEbg4taPcljPCm2rDxXmMO3mG+smYSFgrCGG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QPAwkqzHZobitY/sK9SmAcZRoN+cQ6QQN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A2kb3zjG0YNJFi49913HwF0KbBCv/3tbxuu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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Ed9uPULk+q4nyGbUlgsh61qCpzx94P7XX3EMue0ly0ywDMI1w/qoUZSmjlbxTHa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SGWLtBA16PfTbOyOv1hfVrbNSfmMswfP/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\n/wcqfpGYU890kAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_time_month <- rides_taken_viz %>%   # Viz hourly spending time  \n",
    "                      group_by(member_casual, month) %>% \n",
    "                      summarise(Number_of_Trips = n(), .groups=\"drop\") %>%\n",
    "                      ggplot(aes(x = month, \n",
    "                      y = Number_of_Trips, color = member_casual, \n",
    "                      group = member_casual)) +\n",
    "                      geom_line(size = 1) +\n",
    "                      labs(title=\"Hourly Usage - Hourly Trips for Member vs Casual Users\")+\n",
    "                      theme(axis.text.x = element_text(angle = 90))+\n",
    "                      scale_y_continuous(\n",
    "                      labels = function(x) format(x, scientific = FALSE)) +\n",
    "                      scale_colour_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "\n",
    " \n",
    "num_time_month ## vi\n",
    "\n",
    "\n",
    "\n",
    "                        \n",
    "# =====================================================================================================\n",
    "#  # Monthly Trips: Numbers & Average of trips taken by member vs casual                                        \n",
    "# =====================================================================================================\n",
    "\n",
    "\n",
    "average_time_month <- rides_taken_viz %>%   # Viz hourly spending time  \n",
    "                      group_by(member_casual, month) %>% \n",
    "                      summarise(Average_Trips = mean(duration), .groups=\"drop\") %>%\n",
    "                      ggplot(aes(x = month, \n",
    "                      y = Average_Trips, color = member_casual, \n",
    "                      group = member_casual)) +\n",
    "                      geom_line(size = 1) +\n",
    "                      labs(title=\"Hourly Usage - Hourly Trips for Member vs Casual Users\")+\n",
    "                      theme(axis.text.x = element_text(angle = 90))+\n",
    "                      scale_y_continuous(\n",
    "                      labels = function(x) format(x, scientific = FALSE)) +\n",
    "                      scale_colour_manual(values=c(\"#009E73\", \"#D55E00\"))\n",
    "\n",
    " \n",
    "average_time_month ## vi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea0a27b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#-----------------------------------------------------------------------------------------------------------------\n",
    "# STEP # 10 - SAVE ALL THE DATA TO A CSV FILE\n",
    "#-----------------------------------------------------------------------------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 495,
   "id": "eb99e508-59c2-4de8-befc-12a224347397",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a new csv file to visualize in Excel, Tableau, or presentation \n",
    "#write.csv(rides_taken_viz, \"data_clean_chicago_bikes.csv\") \n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}