{"id":1126,"date":"2022-11-15T11:45:00","date_gmt":"2022-11-15T16:45:00","guid":{"rendered":"https:\/\/vladdorokhin.com\/en\/?p=1126"},"modified":"2025-10-18T22:57:33","modified_gmt":"2025-10-19T02:57:33","slug":"new-york-city-bike-sharing-during-covid-19-data-analysis","status":"publish","type":"post","link":"https:\/\/vladdorokhin.com\/en\/2022\/11\/15\/new-york-city-bike-sharing-during-covid-19-data-analysis\/","title":{"rendered":"New York City Bike-Sharing During COVID-19 (Data Analysis)"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><strong>\ud83c\uddf7\ud83c\uddfa <a href=\"https:\/\/vladdorokhin.com\/ru\/2022\/11\/15\/analiz-dannykh-veloprokata-v-nyu-yorke-vo-vremya-covid-19\/\">\u0420\u0423\u0421\u0421\u041a\u041e\u042f\u0417\u042b\u0427\u041d\u0410\u042f \u0412\u0415\u0420\u0421\u0418\u042f<\/a> | \ud83c\uddf7\ud83c\uddfa <a href=\"https:\/\/vladdorokhin.com\/ru\/2022\/11\/15\/analiz-dannykh-veloprokata-v-nyu-yorke-vo-vremya-covid-19\/\">RUSSIAN-LANGUAGE VERSION<\/a><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558cd5f&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558cd5f\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1920\" height=\"1080\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"A thumbnail of the post called &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot;.\" 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https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01-1536x864.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=384 384w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1152 1152w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The <a href=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&quality=85&webp=85&sharp=1&w=2560\" target=\"_blank\" rel=\"noreferrer noopener\">featured image<\/a> by <a href=\"https:\/\/vladdorokhin.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Vlad Dorokhin<\/a> is licensed under <a href=\"https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/\" target=\"_blank\" rel=\"noreferrer noopener\">CC BY-SA 4.0<\/a>)<\/em><\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading has-text-align-left\" id=\"table-of-contents\">Table Of Contents<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"#introduction\">Introduction<\/a><\/li>\n\n\n\n<li><a href=\"#about-the-company\">About The Company<\/a><\/li>\n\n\n\n<li><a href=\"#research-project-roadmap\">Research Project Roadmap<\/a><\/li>\n\n\n\n<li><a href=\"#ask\">Ask<\/a>\n<ul class=\"wp-block-list\">\n<li>4.1. <a href=\"#objective\">Objective<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#prepare\">Prepare<\/a>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n<ul class=\"wp-block-list\">\n<li>5.1. <a href=\"#data-organization\">Data Organization<\/a><\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>5.2. <a href=\"#data-validation-and-accessibility\">Data Validation And Accessibility<\/a><\/li>\n\n\n\n<li>5.3. <a href=\"#data-privacy\">Data Privacy<\/a><\/li>\n\n\n\n<li>5.4. <a href=\"#the-code-used-for-the-prepare-step\">The Code Used For The \u00abPrepare\u00bb Step<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#process\">Process<\/a>\n<ul class=\"wp-block-list\">\n<li>6.1. <a href=\"#the-code-used-for-the-process-step\">The Code Used For The \u00abProcess\u00bb Step<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#analyze\">Analyze<\/a>\n<ul class=\"wp-block-list\">\n<li>7.1. <a href=\"#the-code-used-for-the-analyze-step\">The Code Used For The \u00abAnalyze\u00bb Step<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#share\">Share<\/a>\n<ul class=\"wp-block-list\">\n<li>8.1. <a href=\"#the-average-distance-and-ride-length\">The Average Distance And Ride Length<\/a><\/li>\n\n\n\n<li>8.2. <a href=\"#number-of-rides-by-user-type-during-a-week\">Number Of Rides By User Type During A Week<\/a><\/li>\n\n\n\n<li>8.3. <a href=\"#bike-type-usage-by-user-type\">Bike Type Usage By User Type<\/a><\/li>\n\n\n\n<li>8.4. <a href=\"#bike-type-usage-by-both-user-types-during-a-week\">Bike Type Usage By Both User Types During A Week<\/a><\/li>\n\n\n\n<li>8.5. <a href=\"#the-most-popular-routes-by-casual-users\">The Most Popular Routes By Casual Users (Used &gt; 1000 Times (1) And Used &gt; 500 Times (2))<\/a><\/li>\n\n\n\n<li>8.6. <a href=\"#the-most-popular-routes-by-annual-members\">The Most Popular Routes By Annual Members (Used &gt; 1000 Times (1) And Used &gt; 500 Times (2))<\/a><\/li>\n\n\n\n<li>8.7. <a href=\"#suggestions-to-the-questions-guiding-the-future-marketing-program-for-citi-bike\">Suggestions To The Questions Guiding The Future Marketing Program For \u00abCiti Bike<\/a>\u00bb\n<ul class=\"wp-block-list\">\n<li>8.7.1. <a href=\"#how-do-casual-riders-and-annual-members-use-citi-bike-bikes-differently\">How do casual riders and annual members use \u00abCiti Bike\u00bb bikes differently?<\/a><\/li>\n\n\n\n<li>8.7.2. <a href=\"#why-would-casual-riders-buy-citi-bike-annual-memberships\">Why would casual riders buy \u00abCiti Bike\u00bb annual memberships?<\/a><a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.2.-Why-would-casual-riders-buy-Citi-Bike-annual-memberships?\"><\/a><\/li>\n\n\n\n<li>8.7.3. <a href=\"#how-can-citi-bike-influence-casual-riders-to-become-members\">How can \u00abCiti Bike\u00bb influence casual riders to become members?<\/a><a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.3.-How-can-Citi-Bike-influence-casual-riders-to-become-members?\"><\/a><\/li>\n\n\n\n<li>8.7.4. <a href=\"#how-can-citi-bike-influence-annual-members-to-use-its-services-even-more\">How can \u00abCiti Bike\u00bb influence annual members to use its services even more?<\/a><a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.4.-How-can-Citi-Bike-influence-annual-members-to-use-its-services-even-more?\"><\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"#act\">Act<\/a><a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#6.-Act\"><\/a><\/li>\n\n\n\n<li><a href=\"#references\">References<\/a><\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"introduction\">1. Introduction<\/h2>\n\n\n\n<p>This professional research project is a part of <a href=\"https:\/\/vladdorokhin.com\/en\/professional-experience\/\">my portfolio as a Data Analyst<\/a> \u2014 I hope you will find it useful and interesting!<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"about-the-company\">2. About The Company<\/h2>\n\n\n\n<p>\u00ab<a href=\"https:\/\/en.wikipedia.org\/wiki\/Citi_Bike\" target=\"_blank\" rel=\"noreferrer noopener\">Citi Bike<\/a>\u00bb is a privately owned public bicycle sharing system serving the New York City (NY) as well as Jersey City (NJ) and Hoboken (NJ).<\/p>\n\n\n\n<p>In October 2017, the system reached a total of 50 million rides and in July 2020, the system reached 100 million rides. As of July 2019, there are 169,000 annual subscribers. Monthly average ridership numbers increased above 100,000 for the first time in June 2021.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"research-project-roadmap\">3. Research Project Roadmap<\/h2>\n\n\n\n<p>The project follows the six-step data analysis process:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Ask<\/li>\n\n\n\n<li>Prepare<\/li>\n\n\n\n<li>Process<\/li>\n\n\n\n<li>Analyze<\/li>\n\n\n\n<li>Share<\/li>\n\n\n\n<li>Act<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"ask\">4. Ask<\/h2>\n\n\n\n<p>The step will consist of these tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ask SMART and effective questions.<\/li>\n\n\n\n<li>Summarize data.<\/li>\n\n\n\n<li>Manage a team\u2019s and stakeholders\u2019 expectations.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"objective\">4.1. Objective<\/h3>\n\n\n\n<p>The objective is to help to design a new marketing strategy to convert casual riders into annual members.<\/p>\n\n\n\n<p>Three questions might guide a future possible marketing program:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>How do annual members and casual riders use \u00abCiti Bike\u00bb bikes differently?<\/li>\n\n\n\n<li>Why would casual riders buy \u00abCiti Bike\u00bb annual memberships?<\/li>\n\n\n\n<li>How can \u00abCiti Bike\u00bb influence casual riders to become members?<\/li>\n\n\n\n<li>How can \u00abCiti Bike\u00bb influence annual members to use its services even more?<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"prepare\">5. Prepare<\/h2>\n\n\n\n<p>This step will consist of these key tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Address issues of bias and credibility of data, ensure ethical data practices.<\/li>\n\n\n\n<li>Access databases and import data.<\/li>\n\n\n\n<li>Organize and protect data.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"data-organization\">5.1. Data Organization<\/h3>\n\n\n\n<p>\u00abCiti Bike\u00bb historical trip data from March 2021 to March 2022 was used to analyze and identify various trends. Data was stored in a separate directory and copies of every dataset were made.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"data-validation-and-accessibility\">5.2. Data Validation And Accessibility<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The first-party data provided was taken from the company website. The dataset is public and available for everyone to use.<\/li>\n\n\n\n<li>The data has been processed to remove trips taken by staff and any trips that were below 60 seconds in length.<\/li>\n\n\n\n<li>The data was provided according to the <a href=\"https:\/\/ride.citibikenyc.com\/data-sharing-policy\" target=\"_blank\" rel=\"noreferrer noopener\">\u00abCiti Bike\u00bb Data Use Policy<\/a>.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"data-privacy\">5.3. Data Privacy<\/h3>\n\n\n\n<p>Due to data privacy, I will not use riders\u2019 personal identification information, and this will prevent me from determining if a single user\/rider has taken several rides. All ride IDs <em>(ride_id)<\/em> are unique in this dataset.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-code-used-for-the-prepare-step\">5.4. The Code Used For The \u00abPrepare\u00bb Step<\/h3>\n\n\n\n<p>At first, I loaded the R packages needed for the project into <a href=\"https:\/\/en.wikipedia.org\/wiki\/RStudio\" target=\"_blank\" rel=\"noreferrer noopener\">\u00abRStudio\u00bb<\/a> \u2014 an Integrated Development Environment (IDE) for <a href=\"https:\/\/en.wikipedia.org\/wiki\/R_(programming_language)\" target=\"_blank\" rel=\"noreferrer noopener\">\u00abR\u00bb<\/a>). All these packages previously missing in the system were installed by using this command: <em>install.packages(\u201cpackage name\u201d)<\/em><\/p>\n\n\n\n<pre class=\"wp-block-code\" style=\"border-style:none;border-width:0px\"><code><em># Load the project-related packages<\/em>\n\ninstall.packages()\nlibrary(tidyverse)\nlibrary(janitor)\nlibrary(ggmap)\nlibrary(geosphere)\nlibrary(lubridate)\nlibrary(gridExtra)<\/code><\/pre>\n\n\n\n<p>Then, I downloaded the related datasets from 03\/2021 to 03\/2022 from the <a href=\"https:\/\/ride.citibikenyc.com\/system-data\" target=\"_blank\" rel=\"noreferrer noopener\">\u00abCiti Bike\u00bb website<\/a> and imported them to \u00abRStudio\u00bb. The variables representing these datasets have easy for understanding names like <em>tripdata202103<\/em> or <em>tripdata202203<\/em>.<\/p>\n\n\n\n<pre class=\"wp-block-code\" style=\"border-style:none;border-width:0px\"><code><em># Import the datasets to RStudio<\/em>\n\ntripdata202103 &lt;- read_csv(\"202103-citibike-tripdata.csv\")\ntripdata202104 &lt;- read_csv(\"202104-citibike-tripdata.csv\")\ntripdata202105 &lt;- read_csv(\"202105-citibike-tripdata.csv\")\ntripdata202106 &lt;- read_csv(\"202106-citibike-tripdata.csv\")\ntripdata202107 &lt;- read_csv(\"202107-citibike-tripdata.csv\")\ntripdata202108 &lt;- read_csv(\"202108-citibike-tripdata.csv\")\ntripdata202109 &lt;- read_csv(\"202109-citibike-tripdata.csv\")\ntripdata202110 &lt;- read_csv(\"202110-citibike-tripdata.csv\")\ntripdata202111 &lt;- read_csv(\"202111-citibike-tripdata.csv\")\ntripdata202112 &lt;- read_csv(\"202112-citibike-tripdata.csv\")\ntripdata202201 &lt;- read_csv(\"202201-citibike-tripdata.csv\")\ntripdata202202 &lt;- read_csv(\"202202-citibike-tripdata.csv\")\ntripdata202203 &lt;- read_csv(\"202203-citibike-tripdata.csv\")<\/code><\/pre>\n\n\n\n<p>Since there was no need to work on the imported data sets one by one, I decided to merge all of them into the single dataset called <em>tripdata<\/em> and work on it from now on.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Merge individual monthly datasets into a single large dataset<\/em>\n\ntripdata &lt;- bind_rows(tripdata202103, tripdata202104, tripdata202105, tripdata202106, tripdata202107, tripdata202108, tripdata202109, tripdata202110, tripdata202111, tripdata202112, tripdata202201, tripdata202202, tripdata202203)<\/code><\/pre>\n\n\n\n<p>Unfortunately, it was impossible for me to create the <em>tripdata<\/em> variable due to the different types of data in the <em>end_station_id<\/em> column across the imported datasets. This error message I received provides more information:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>One or more parsing issues, see `problems()` for details \n&gt; tripdata &lt;- bind_rows(tripdata202103, tripdata202104, tripdata202105, tripdata202106, tripdata202107, tripdata202108, tripdata202109, tripdata202110, tripdata202111, tripdata202112, tripdata202201, tripdata202202, tripdata202203)\nError in `bind_rows()`:\n ! Can't combine `end_station_id` &lt;double&gt; and `end_station_id` &lt;character&gt;.\nRun `rlang::last_error()` to see where the error occurred.<\/code><\/pre>\n\n\n\n<p>Therefore, I needed to transform all the data to the numeric type in the <em>end_station_id<\/em> column across all the imported datasets. I reviewed the columns of each dataset and found out only <em>tripdata202110<\/em> had <em>end_station_id<\/em> formatted as the <em>character<\/em> type.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># A review of column types of the tripdata202110 dataset<\/em>\n\nstr(tripdata202110)<\/code><\/pre>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558d7a5&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558d7a5\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1860\" height=\"518\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 review of column types of the &quot;tripdata202110&quot; dataset for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1172\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1860w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x84.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x285.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x214.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x428.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=372 372w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1116 1116w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_01_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1860px) 100vw, 1860px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 review of column types of the \u00abtripdata202110\u00bb dataset.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>I changed the <em>end_station_id<\/em> column of this data set to the <em>numeric<\/em> type and tried to merge individual monthly data sets (<em>tripdata202103<\/em>, <em>tripdata202104<\/em>, <em>tripdata202105<\/em>, etc.) into the single large data set called <em>tripdata<\/em> again.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Change end_station_id to the numeric type for the tripdata202110 dataset<\/em>\n\ntripdata202110 &lt;- mutate(tripdata202110, end_station_id = as.numeric(end_station_id))<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Merge individual monthly datasets into a single large dataset, attempt no. 2<\/em>\n\ntripdata &lt;- bind_rows(tripdata202103, tripdata202104, tripdata202105, tripdata202106, tripdata202107, tripdata202108, tripdata202109, tripdata202110, tripdata202111, tripdata202112, tripdata202201, tripdata202202, tripdata202203)<\/code><\/pre>\n\n\n\n<p>As the second try was successful and the <em>tripdata<\/em> data set was created, I was able to see a list of its column names, the first rows, statistical summary, and other things. I needed that to better understand the data I am working with.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># View of the merged dataset in a table form<\/em>\n\nView(tripdata)<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Check the merged dataset\n## See a list of column names<\/em>\n\nprint(\"A list of column names:\")\ncolnames(tripdata)\n\n<em>## See the first 6 rows<\/em>\n\nprint(\"The first 6 rows:\")\nhead(tripdata)\n\n<em>## See a list of columns and data types (numeric, character, etc.)<\/em>\n\nprint(\"A list of columns and data types (numeric, character, etc.):\")\nstr(tripdata)\n\n<em>## Glimpse of data<\/em>\n\nprint(\"Glimpse:\")\nglimpse(tripdata)\n\n<em>## Statistical summary of data<\/em>\n\nprint(\"Summary:\")\nsummary(tripdata)<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"process\">6. Process<\/h2>\n\n\n\n<p>The step will consist of these key tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Connect business objectives to data analysis.<\/li>\n\n\n\n<li>Clean small and large datasets using the \u00abR\u00bb programming language.<\/li>\n\n\n\n<li>Document the data-cleaning process.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-code-used-for-the-process-step\">6.1. The Code Used For The \u00abProcess\u00bb Step<\/h3>\n\n\n\n<p>To get non-biased conclusions from the <em>tripdata<\/em> data set I am working on, I need to clean it beforehand. For the latter, I removed all empty (NA, null, etc.) values from it and put the \u00abcleaned\u00bb result into the <em>tripdata_clean<\/em> variable.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Clean the tripdata database to be able to properly work with it<\/em>\n<em>## Drop all NA (null = empty values)<\/em>\n\ntripdata_clean &lt;- drop_na(tripdata)\n\n<em>## View the merged clean database in a table form<\/em>\n\nView(tripdata_clean)<\/code><\/pre>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"analyze\">7. Analyze<\/h2>\n\n\n\n<p>The step will consist of these key tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sort, filter, convert, and format data using the \u00abR\u00bb programming language.<\/li>\n\n\n\n<li>Substantiate data analysis process.<\/li>\n\n\n\n<li>Seek feedback and support from others during data analysis.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-code-used-for-the-analyze-step\">7.1. The Code Used For The \u00abAnalyze\u00bb Step<\/h3>\n\n\n\n<p>I changed the type of data in the date row to an appropriate one for calculations and separated the month, day, year, and day of the week values into their own rows. I needed that for convenience in analyzing the <em>tripdata_clean<\/em> data set and for future data manipulations.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Create new columns\n## Change the type of data in the date row to an appropriate one for calculations<\/em>\n\ntripdata_clean$date &lt;- as.Date(tripdata_clean$started_at)\n\n<em>## Separate the dates into month<\/em>\n\ntripdata_clean$month &lt;- format(as.Date(tripdata_clean$date), \"%m\")\n\n<em>## Separate the dates into day<\/em>\n\ntripdata_clean$day &lt;- format(as.Date(tripdata_clean$date), \n\"%d\")\n\n<em>## Separate the dates into year<\/em>\n\ntripdata_clean$year &lt;- format(as.Date(tripdata_clean$date), \"%Y\")\n\n<em>## Separate the dates into day of a week<\/em>\n\ntripdata_clean$day_of_week &lt;- format(as.Date(tripdata_clean$date), \"%A\")<\/code><\/pre>\n\n\n\n<p>Additionally, I created the new columns: duration of the ride length (in seconds), ride distance traveled (in kilometers), and ride speed (in km\/h).<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Create new columns\n## Duration of the ride length in seconds<\/em>\n\ntripdata_clean$ride_length &lt;- difftime(tripdata_clean$ended_at, tripdata_clean$started_at)\n## Ride distance traveled in kilometers\ntripdata_clean$ride_distance &lt;- distGeo(matrix(c(tripdata_clean$start_lng, tripdata_clean$start_lat), ncol = 2), matrix(c(tripdata_clean$end_lng, tripdata_clean$end_lat), ncol = 2))\ntripdata_clean$ride_distance &lt;- tripdata_clean$ride_distance \/ 1000\n\n<em>## Ride speed in km\/h<\/em>\n\ntripdata_clean$ride_speed = c(tripdata_clean$ride_distance) \/ as.numeric(c(tripdata_clean$ride_length), units=\"hours\")<\/code><\/pre>\n\n\n\n<p>As the <em>tripdata_clean<\/em> data set could contain unnecessary values when bikes were taken out of docks and checked for quality by \u00abCiti Bike\u00bb employees (i.e., not average users) or when <em>ride_length<\/em> was negative, I needed to make sure they will not affect my research and make the results biased.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Double-check there will be no values when bikes were taken out of docks and checked for quality by Citi Bike employees or when ride_length was negative<\/em>\n\ntripdata_clean &lt;- tripdata_clean&#91;!(tripdata_clean$start_station_name == \"HQ QR\" | tripdata_clean$ride_length &lt; 0),]<\/code><\/pre>\n\n\n\n<p>After preparing the <em>tripdata_clean<\/em> data set, I calculated the average distance and ride length for both the casual and member type users to know who uses \u00abCiti Bike\u00bb bicycles more actively.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Calculate the average distance for both the casual and member type users<\/em>\n\nmember_casual_mean &lt;- tripdata_clean %&gt;%\n  group_by(member_casual) %&gt;%\n  summarise(mean_time = mean(ride_length), mean_distance = mean(ride_distance))\n\n<em>## Build a table with the results<\/em>\n\nView(member_casual_mean)<\/code><\/pre>\n\n\n\n<p>Here is the <em>member_casual_mean<\/em> table I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558def8&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558def8\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"421\" height=\"131\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The &quot;member_casual_mean&quot; table for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1173\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 421w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x93.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=84 84w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=168 168w\" sizes=\"(max-width: 421px) 100vw, 421px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The \u00abmember_casual_mean\u00bb table.)<\/em><\/figcaption><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>As it can be seen from the table, the mean ride length for a casual user is 1551.085 seconds (25.851 minutes) with the mean ride distance of 2.027 kilometers.<\/li>\n\n\n\n<li>For a member user, the mean ride length is 810.361 seconds (13.506 minutes) with the mean ride distance of 1.8207 kilometers.<\/li>\n<\/ul>\n\n\n\n<p>It means a casual&#8217;s ride length is almost 2 times more on average in comparison with a member&#8217;s one! Additionally, a casual&#8217;s ride distance is greater as well.<\/p>\n\n\n\n<p>For a better understanding of the results above, I built 2 different plots (mean travel time, mean ride distance) and combined them on the third plot, which are located below.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Build a plot of mean travel time by user type<\/em>\n\nmember_casual_mean_time &lt;- ggplot(member_casual_mean) + \n  geom_col(mapping = aes(x = member_casual, y = mean_time, fill = member_casual), show.legend = TRUE) +\n  labs(title = \"Mean travel time by user type: Member \/ Casual\", x = \"User type\", y = \"Mean time in sec\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\")\n\n<em>## Build a graph with the results<\/em>\n\nprint(member_casual_mean_time)<\/code><\/pre>\n\n\n\n<p>Here is the first plot I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558e308&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558e308\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 1st plot with the results of mean travel time by user type (Member\/Casual) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1174\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_03_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 1st plot with the results of mean travel time by user type (Member\/Casual).)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Build a plot of mean travel distance by user type<\/em>\n\nmember_casual_mean_distance &lt;- ggplot(userType_means) + \n  geom_col(mapping = aes(x = member_casual, y = mean_distance, fill = member_casual), show.legend = TRUE) +\n  labs(title = \"Mean travel distance by user type: Member \/ Casual\", x = \"User type\", y = \"Mean distance in km\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\")\n\n<em>## Build a graph with the results<\/em>\n\nprint(member_casual_mean_distance)<\/code><\/pre>\n\n\n\n<p>Here is the second plot I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558e670&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558e670\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 2nd plot with the results of mean travel distance by user type (Member\/Casual) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1175\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_04_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 2nd plot with the results of mean travel distance by user type (Member\/Casual).)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Combine two recent plots (mean travel time and mean travel distance) together<\/em>\n\ngrid.arrange(member_casual_mean_time, member_casual_mean_distance, ncol = 2)<\/code><\/pre>\n\n\n\n<p>Here is the combined plots (2 plots above) I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558e962&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558e962\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"950\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 3rd plot (consisting of the first and the second plots) with the results for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1177\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 950w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1-300x207.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1-768x529.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=190 190w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=380 380w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=570 570w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 950px) 100vw, 950px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 3rd plot (consisting of the first and the second plots) with the results.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>After discovering mean travel time and mean ride distance for casual users and members, I checked the number of rides by user type during a week to get a better understanding of the users&#8217; activity.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Check the number of rides by user type during a week\n## Build a tibble of the data<\/em>\n\nmember_casual_rides_week &lt;- tripdata_clean %&gt;% \n    mutate(weekday = wday(started_at, label = TRUE)) %&gt;% \n    group_by(member_casual, weekday) %&gt;% \n    summarise(number_of_rides = n(), average_duration = mean(ride_length), .groups = 'drop') %&gt;% \n    arrange(member_casual, weekday)\nprint(member_casual_rides_week)<\/code><\/pre>\n\n\n\n<p>Here is the 14 x 4 tibble (data frame) I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558ec34&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558ec34\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1841\" height=\"288\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 14 x 4 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1178\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1841w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x47.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x160.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x120.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x240.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=368 368w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1104 1104w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1472 1472w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_06_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1841px) 100vw, 1841px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 14 x 4 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Build a plot of the data<\/em>\n\ntripdata_clean %&gt;% \n  mutate(weekday = wday(started_at, label = TRUE)) %&gt;% \n  group_by(member_casual, weekday) %&gt;% \n  summarise(number_of_rides = n(), average_duration = mean(ride_length), .groups = 'drop') %&gt;% \n  arrange(member_casual, weekday)  %&gt;% \n  ggplot(aes(x = weekday, y = number_of_rides, fill = member_casual)) +\n  geom_col(position = \"dodge\") +\n  labs(title = \"Number of rides by user type during the week\", x = \"Days of the week\", y = \"Number of rides\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\", fill = \"User type\") +\n  theme(legend.position = \"top\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558ef0f&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558ef0f\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 4th plot with the results of number of rides by user type during the week for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1179\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 4th plot with the results of number of rides by user type during the week.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>As it can be seen from the plot, members make a lot more bike trips in comparison with casual users during the week. Additionally, these conclusions can be made:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Members make the most number of trips on Wednesdays (the middle of the workweek) and make the least amount on Sundays. In general, members make more trips during the workweek rather than on weekends.<\/li>\n\n\n\n<li>Casual users have different results \u2014 they make the most number of trips on Saturdays and Sundays (i.e., weekends). During the workweek, casual users make trips much less, with Mondays being the least active day for them.<\/li>\n<\/ul>\n\n\n\n<p>After checking the number of rides by user type during a week, I created a new data set containing only classic bikes and electric bikes in the <em>rideable_type<\/em> column. I called it <em>tripdata_clean_classic_electric<\/em>. Using this data set, I was able to check the bike type <em>(classic bike \/ electric bike)<\/em> usage by user type <em>(member \/ casual user)<\/em> and build a corresponding plot with the results.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Create a new data set with only classic bikes and electric bikes in the rideable_type column<\/em>\n\ntripdata_clean_classic_electric &lt;- tripdata_clean %&gt;%\n  filter(rideable_type == \"classic_bike\" | rideable_type == \"electric_bike\")<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Check the bike type usage by user type\n## Build a tibble of the data<\/em>\n\nmember_casual_classic_electric &lt;- tripdata_clean_classic_electric %&gt;%\n  group_by(member_casual, rideable_type) %&gt;%\n  summarise(totals=n(), .groups=\"drop\")\nprint(member_casual_classic_electric)<\/code><\/pre>\n\n\n\n<p>Here is the 4 x 3 tibble (data frame) I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558f293&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558f293\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1844\" height=\"141\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 4 x 3 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1180\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1844w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x23.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x78.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x59.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x117.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=368 368w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1106 1106w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1475 1475w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_08_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1844px) 100vw, 1844px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 4 x 3 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Build a plot of the data<\/em>\n\ntripdata_clean_classic_electric %&gt;%\n  group_by(member_casual, rideable_type) %&gt;%\n  summarise(totals=n(), .groups=\"drop\")  %&gt;%\n  ggplot() +\n  geom_col(aes(x = member_casual, y = totals, fill = rideable_type), position = \"dodge\") + \n  labs(title = \"Bike type usage by user type: Classic Bike \/ Electric Bike\", x = \"User type\", y = NULL, fill = \"Bike type\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  scale_fill_manual(values = c(\"classic_bike\" = \"#ffa600\", \"electric_bike\" = \"#bc5090\")) +\n  theme_minimal() +\n  theme(legend.position = \"top\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558f585&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558f585\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 5th plot with the results of bike type usage by user type (Classic Bike \/ Electric Bike) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1181\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 5th plot with the results of bike type usage by user type (Classic Bike \/ Electric Bike).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>As it can be seen from the plot:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Both casual users and members use classic bikes much more frequently than electric bikes!<\/li>\n\n\n\n<li>Members use both electric bikes and classic bikes much more than casual users.<\/li>\n<\/ul>\n\n\n\n<p>Thereafter, I checked the bike type <em>(classic bike \/ electric bike)<\/em> usage by both user types <em>(member + casual user)<\/em> during a week and built a corresponding plot with the results.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Check the bike types usage by both user types during a week\n## Build a tibble of the data<\/em>\n\nmember_casual_classic_electric_week &lt;- tripdata_clean_classic_electric %&gt;%\n  mutate(weekday = wday(started_at, label = TRUE)) %&gt;% \n  group_by(member_casual, rideable_type, weekday) %&gt;%\n  summarise(totals=n(), .groups=\"drop\")\nprint(member_casual_classic_electric_week)<\/code><\/pre>\n\n\n\n<p>Here is the 28 x 4 tibble (data frame) I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558f995&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558f995\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1839\" height=\"245\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 28 x 4 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1182\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1839w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x136.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x102.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x205.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=367 367w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1103 1103w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1471 1471w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_10_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1839px) 100vw, 1839px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 28 x 4 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Build a plot of the data<\/em>\n\ntripdata_clean_classic_electric %&gt;%\n  mutate(weekday = wday(started_at, label = TRUE)) %&gt;% \n  group_by(member_casual, rideable_type, weekday) %&gt;%\n  summarise(totals=n(), .groups=\"drop\") %&gt;%\n  ggplot(aes(x = weekday, y = totals, fill = rideable_type)) +\n  geom_col(position = \"dodge\") + \n  facet_wrap(~member_casual) +\n  labs(title = \"Bike type usage by user type during a week\", x = \"User type\", y = NULL, caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  scale_fill_manual(values = c(\"classic_bike\" = \"#ffa600\", \"electric_bike\" = \"#bc5090\")) +\n  theme_minimal() +\n  theme(legend.position=\"top\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1558fca3&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1558fca3\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"850\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 6th plot with the results of bike type usage by user type during a week for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1183\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 850w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x206.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x527.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=170 170w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=510 510w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=680 680w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 6th plot with the results of bike type usage by user type during a week.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>As it can be seen from the plot:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Both casual users and members use classic bikes much more frequently than electric bikes every day of the week.<\/li>\n\n\n\n<li>Members use both classic bikes and electric bikes more frequently in comparison with casual users.<\/li>\n\n\n\n<li>A day casual users use classic bikes the most is Saturday, followed by Sunday. The usage of electric bikes is more or less stable for casual members during the whole week.<\/li>\n\n\n\n<li>A day members use classic bikes the most is Wednesday (the middle of the workweek) followed by Thursday and Tuesday. These exact days (in the same order) are the most popular for electric bikes usage by members as well.<\/li>\n<\/ul>\n\n\n\n<p>After checking the bike type <em>(classic bike \/ electric bike)<\/em> usage by both user types <em>(member + casual user)<\/em> during a week, I checked the coordinates&#8217; data of the rides with the most popular routes \u2014 the ones used &gt; 1000 times and &gt; 500 times.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Check the coordinates data of the rides\n## Create a table only for the top 1 most popular routes (used &gt; 1000 times)<\/em>\n\ntripdata_coordinates_1000 &lt;- tripdata_clean %&gt;% \n  filter(start_lng != end_lng &amp; start_lat != end_lat) %&gt;%\n  group_by(start_lng, start_lat, end_lng, end_lat, member_casual, rideable_type) %&gt;%\n  summarise(total = n(), .groups=\"drop\") %&gt;%\n  filter(total &gt; 1000)\nprint(tripdata_coordinates_1000)<\/code><\/pre>\n\n\n\n<p>Here is the 226 x 7 tibble (data frame) I got for <em>tripdata_coordinates_1000<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15590083&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15590083\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1845\" height=\"245\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 226 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1184\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1845w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x136.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x102.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x204.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1107 1107w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1476 1476w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_12_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1845px) 100vw, 1845px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 226 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Create 2 sub-tables for each user type for the top 1 most popular routes (used &gt; 1000 times)<\/em>\n\ncasual_1000 &lt;- tripdata_coordinates_1000 %&gt;% filter(member_casual == \"casual\")\nmember_1000 &lt;- tripdata_coordinates_1000 %&gt;% filter(member_casual == \"member\")\nprint(casual_1000)\nprint(member_1000)<\/code><\/pre>\n\n\n\n<p>Here is the 20 x 7 tibble (data frame) I got for <em>casual_1000<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f155903aa&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f155903aa\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1845\" height=\"380\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 20 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1185\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1845w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x62.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x211.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x158.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x316.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1107 1107w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1476 1476w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_13_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1845px) 100vw, 1845px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 20 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>Here is the 206 x 7 tibble (data frame) I got for <em>member_1000<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f155906ab&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f155906ab\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1844\" height=\"246\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 206 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1186\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1844w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x137.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x102.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x205.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=368 368w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1106 1106w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1475 1475w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_14_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1844px) 100vw, 1844px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 206 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Create a table only for the top 2 most popular routes (used &gt; 500 times)<\/em>\n\ntripdata_coordinates_500 &lt;- tripdata_clean %&gt;% \n  filter(start_lng != end_lng &amp; start_lat != end_lat) %&gt;%\n  group_by(start_lng, start_lat, end_lng, end_lat, member_casual, rideable_type) %&gt;%\n  summarise(total = n(), .groups=\"drop\") %&gt;%\n  filter(total &gt; 500)\nprint(tripdata_coordinates_500)<\/code><\/pre>\n\n\n\n<p>Here is the 1,596 x 7 tibble (data frame) I got for <em>tripdata_coordinates_500<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f155909c5&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f155909c5\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1845\" height=\"247\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 1,596 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1187\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1845w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x137.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x103.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x206.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1107 1107w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1476 1476w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_15_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1845px) 100vw, 1845px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 1,596 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<pre class=\"wp-block-code\"><code><em>## Create 2 sub-tables for each user type for the top 2 most popular routes (used &gt; 500 times)<\/em>\n\ncasual_500 &lt;- tripdata_coordinates_500 %&gt;% filter(member_casual == \"casual\")\nmember_500 &lt;- tripdata_coordinates_500 %&gt;% filter(member_casual == \"member\")\nprint(casual_500)\nprint(member_500)<\/code><\/pre>\n\n\n\n<p>Here is the 89 x 7 tibble (data frame) I got for <em>casual_500<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15590cdc&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15590cdc\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1844\" height=\"244\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 89 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1188\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1844w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x135.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x102.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x203.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=368 368w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1106 1106w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1475 1475w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_16_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1844px) 100vw, 1844px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 89 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>Here is the 1,507 x 7 tibble (data frame) I got for <em>member_500<\/em>:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15590fcf&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15590fcf\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"1845\" height=\"245\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"A piece of code \u2014 a 1,507 x 7 data frame for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1189\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1845w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x40.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1024x136.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1024w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01-768x102.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01-1536x204.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 1536w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1107 1107w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=1476 1476w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_17_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1845px) 100vw, 1845px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(A piece of code \u2014 a 1,507 x 7 data frame.)<\/em><\/figcaption><\/figure>\n\n\n\n<p>At the end, I built 4 plots of coordinates&#8217; data of the rides with the most popular routes: 2 plots for the ones used &gt; 1000 times and 2 for the ones used &gt; 500 times.<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Store bounding box coordinates for ggmap<\/em>\n\nnyc_bounding_box &lt;- c(\n  left = -74.15,\n  bottom = 40.5774,\n  right = -73.7004,\n  top = 40.9176\n)<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Store the stamen map of NYC<\/em>\n\nnyc_stamen_map &lt;- get_stamenmap(\n  bbox = nyc_bounding_box,\n  zoom = 12,\n  maptype = \"toner\"\n)<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Plot of the data by casual users on the map (for routes used &gt; 1000 times)<\/em>\n\nggmap(nyc_stamen_map, darken = c(0.8, \"white\")) +\n  geom_curve(casual_1000, mapping = aes(x = start_lng, y = start_lat, xend = end_lng, yend = end_lat, alpha = total, color = rideable_type), size = 0.5, curvature = .2, arrow = arrow(length = unit(0.2, \"cm\"), ends = \"first\", type = \"closed\")) +\n  coord_cartesian() +\n  labs(title = \"Most popular routes by casual users (for routes used &gt; 1000 times)\", x = NULL, y = NULL, color = \"User type\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  theme(legend.position=\"right\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got for the most popular routes by casual users (for routes used &gt; 1000 times):<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1559137b&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1559137b\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 7th plot with the results of the most popular routes by casual users (for routes used &gt; 1000 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1190\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 7th plot with the results of the most popular routes by casual users (for routes used &gt; 1000 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>As it can be seen from the plot:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most popular routes for docked bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a> \u2014 especially on the side of W 59th St.<\/li>\n\n\n\n<li>The most popular routes for classic bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> \u2014 especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>.<\/li>\n\n\n\n<li>The notable popular route for classic bikes is located on the West St on the side of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hudson_River_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Hudson River Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Brooklyn Bridge<\/a> &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a>) on the side of Prospect Park West for docked bikes.<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Plot of the data by casual users on the map (for routes used &gt; 500 times)<\/em>\n\nggmap(nyc_stamen_map, darken = c(0.8, \"white\")) +\n  geom_curve(casual_500, mapping = aes(x = start_lng, y = start_lat, xend = end_lng, yend = end_lat, alpha = total, color = rideable_type), size = 0.5, curvature = .2, arrow = arrow(length = unit(0.2, \"cm\"), ends = \"first\", type = \"closed\")) +\n  coord_cartesian() +\n  labs(title = \"Most popular routes by casual users (for routes used &gt; 500 times)\", x = NULL, y = NULL, color = \"User type\", caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  theme(legend.position=\"right\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got for the most popular routes by casual users (for routes used &gt; 500 times):<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15591792&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15591792\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 8th plot with the results of the most popular routes by casual users (for routes used &gt; 500 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1191\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 8th plot with the results of the most popular routes by casual users (for routes used &gt; 500 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>Interesting fact:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>As it can be seen from the plot, there are no popular routes (used &gt; 1000 or even &gt; 500 times) for electric bikes by casual users.<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Plot of the data by annual members on the map (for routes used &gt; 1000 times)<\/em>\n\nggmap(nyc_stamen_map, darken = c(0.8, \"white\")) +\n  geom_curve(member_1000, mapping = aes(x = start_lng, y = start_lat, xend = end_lng, yend = end_lat, alpha = total, color = rideable_type), size = 0.5, curvature = .2, arrow = arrow(length = unit(0.2,\"cm\"), ends=\"first\", type = \"closed\")) +  \n  coord_cartesian() +\n  labs(title = \"Most popular routes by annual members (for routes used &gt; 1000 times)\", x = NULL,y = NULL, caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  theme(legend.position=\"right\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got for the most popular routes by annual members (for routes used &gt; 1000 times):<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15591b62&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15591b62\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 9th plot with the results of the most popular routes by annual members (for routes used &gt; 1000 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1192\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 9th plot with the results of the most popular routes by annual members (for routes used &gt; 1000 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>As it can be seen from the plot:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most popular routes for classic bikes are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lower_East_Side\" target=\"_blank\" rel=\"noreferrer noopener\">Lower East Side<\/a> nearby the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Kips_Bay,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Kips Bay<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lincoln_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Lincoln Tunnel<\/a>, and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/East_Harlem\" target=\"_blank\" rel=\"noreferrer noopener\">East Harlem<\/a>.<\/li>\n\n\n\n<li>The most popular routes for docked bikes are located at at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Yorkville,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Yorkville<\/a> neighborhood. Several pretty popular routes for docked bikes are also located around a half of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Queensbridge_Houses\" target=\"_blank\" rel=\"noreferrer noopener\">Queensbridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg,_Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg<\/a> neighborhood, at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> (especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>), &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes. For docked bikes, it is at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a> on the side of Prospect Park West.<\/li>\n<\/ul>\n\n\n\n<pre class=\"wp-block-code\"><code><em># Plot of the data by annual members on the map (for routes used &gt; 500 times)<\/em>\n\nggmap(nyc_stamen_map, darken = c(0.8, \"white\")) +\n  geom_curve(member_500, mapping = aes(x = start_lng, y = start_lat, xend = end_lng, yend = end_lat, alpha = total, color = rideable_type), size = 0.5, curvature = .2, arrow = arrow(length = unit(0.2,\"cm\"), ends=\"first\", type = \"closed\")) +  \n  coord_cartesian() +\n  labs(title = \"Most popular routes by annual members (for routes used &gt; 500 times)\", x = NULL,y = NULL, caption = \"Data by Citi Bike. Plot by Vlad Dorokhin\") +\n  theme(legend.position=\"right\")<\/code><\/pre>\n\n\n\n<p>Here is the plot I got for the most popular routes by annual members (for routes used &gt; 500 times):<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15591f0a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15591f0a\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 10th plot with the results of the most popular routes by annual members (for routes used &gt; 500 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1193\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 10th plot with the results of the most popular routes by annual members (for routes used &gt; 500 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>Interesting facts:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>As it can be seen on the plot of the data by annual members on the map (for the top 1 routes used &gt; 1000 times), there are no routes used by electric bikes.<\/li>\n\n\n\n<li>However, on the plot of the data by annual members on the map (for the top 2 routes used &gt; 500 times), the most popular electric bike routes are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Pulaski_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Pulaski Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Garment_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Garment District<\/a> neighborhood, and at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Financial_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Financial District<\/a> neighborhood nearby <a href=\"https:\/\/en.wikipedia.org\/wiki\/1_New_York_Plaza\" target=\"_blank\" rel=\"noreferrer noopener\">One New York Plaza<\/a>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"share\">8. Share<\/h2>\n\n\n\n<p>The step will consist of these tasks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Create visualizations and dashboards <em>(all of them are displayed above)<\/em>.<\/li>\n\n\n\n<li>Telling a data-driven story.<\/li>\n\n\n\n<li>Present to others and answer questions about data.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-average-distance-and-ride-length\">8.1. The Average Distance And Ride Length<\/h3>\n\n\n\n<p>As the result of calculating the average distance and ride length <em>(for both the casual users and annual members)<\/em>, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The mean ride length for a casual user is 1551.085 seconds (25.851 minutes) with the mean ride distance of 2.027 kilometers.<\/li>\n\n\n\n<li>The mean ride length for a member is 810.361 seconds (13.506 minutes) with the mean ride distance of 1.8207 kilometers.<\/li>\n<\/ul>\n\n\n\n<p>It means a casual&#8217;s ride length is almost 2 times more on average in comparison with a member&#8217;s one! Additionally, a casual&#8217;s ride distance is greater as well.<\/p>\n\n\n\n<p>Here are the corresponding table and plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f155922a6&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f155922a6\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"421\" height=\"131\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The &quot;member_casual_mean&quot; table for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1173\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 421w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01-300x93.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=84 84w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_02_new_york_city_bike_sharing_during_covid_19_data_analysis_01.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=168 168w\" sizes=\"(max-width: 421px) 100vw, 421px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The \u00abmember_casual_mean\u00bb table.)<\/em><\/figcaption><\/figure>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1559242a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1559242a\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"950\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 3rd plot (consisting of the first and the second plots) with the results for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1177\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 950w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1-300x207.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1-768x529.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=190 190w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=380 380w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=570 570w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_05_new_york_city_bike_sharing_during_covid_19_data_analysis_02-1.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 950px) 100vw, 950px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 3rd plot (consisting of the first and the second plots) with the results.)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"number-of-rides-by-user-type-during-a-week\">8.2. Number Of Rides By User Type During A Week<\/h3>\n\n\n\n<p>After checking the number of rides by user type <em>(casual users \/ annual members)<\/em> during a week, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Members make a lot more bike trips in comparison with casual users during the week.<\/li>\n\n\n\n<li>Members make the most number of trips on Wednesdays (the middle of the workweek) and make the least amount on Sundays. In general, members make more trips during the workweek rather than on weekends.<\/li>\n\n\n\n<li>Casual users have different results \u2014 they make the most number of trips on Saturdays and Sundays (i.e., weekends). During the workweek, casual users make trips much less, with Mondays being the least active day for them.<\/li>\n<\/ul>\n\n\n\n<p>Here is the corresponding plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15592677&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15592677\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 4th plot with the results of number of rides by user type during the week for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1179\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_07_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 4th plot with the results of number of rides by user type during the week.)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"bike-type-usage-by-user-type\">8.3. Bike Type Usage By User Type<\/h3>\n\n\n\n<p>After checking the bike type <em>(classic bike \/ electric bike)<\/em> usage by user type <em>(member \/ casual user)<\/em>, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Both casual users and members use classic bikes much more frequently than electric bikes!<\/li>\n\n\n\n<li>Members use both electric bikes and classic bikes much more than casual users.<\/li>\n<\/ul>\n\n\n\n<p>Here is the corresponding plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f1559289a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f1559289a\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"923\" height=\"654\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 5th plot with the results of bike type usage by user type (Classic Bike \/ Electric Bike) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1181\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 923w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x213.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x544.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=184 184w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=369 369w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=553 553w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_09_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 923px) 100vw, 923px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 5th plot with the results of bike type usage by user type (Classic Bike \/ Electric Bike).)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"bike-type-usage-by-both-user-types-during-a-week\">8.4. Bike Type Usage By Both User Types During A Week<\/h3>\n\n\n\n<p>After checking the bike type <em>(classic bike \/ electric bike)<\/em> usage by both user types <em>(member + casual user)<\/em> during a week, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Both casual users and members use classic bikes much more frequently than electric bikes every day of the week.<\/li>\n\n\n\n<li>Members use both classic bikes and electric bikes more frequently in comparison with casual users.<\/li>\n\n\n\n<li>A day casual users use classic bikes the most is Saturday, followed by Sunday. The usage of electric bikes is more or less stable for casual members during the whole week.<\/li>\n\n\n\n<li>A day members use classic bikes the most is Wednesday (the middle of the workweek) followed by Thursday and Tuesday. These exact days (in the same order) are the most popular for electric bikes usage by members as well.<\/li>\n<\/ul>\n\n\n\n<p>Here is the corresponding plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15592ae5&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15592ae5\" class=\"wp-block-image aligncenter size-full wp-lightbox-container\"><img decoding=\"async\" width=\"850\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 6th plot with the results of bike type usage by user type during a week for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1183\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 850w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x206.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x527.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=170 170w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=510 510w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=680 680w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_11_new_york_city_bike_sharing_during_covid_19_data_analysis_02.png?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 6th plot with the results of bike type usage by user type during a week.)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-most-popular-routes-by-casual-users\">8.5. The Most Popular Routes By Casual Users (Used &gt; 1000 Times (1) And Used &gt; 500 Times (2))<\/h3>\n\n\n\n<p>After building a plot for the most popular routes by casual users (for routes used &gt; 1000 times), I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most popular routes for docked bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a> \u2014 especially on the side of W 59th St.<\/li>\n\n\n\n<li>The most popular routes for classic bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> \u2014 especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>.<\/li>\n\n\n\n<li>The notable popular route for classic bikes is located on the West St on the side of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hudson_River_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Hudson River Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Brooklyn Bridge<\/a> &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a>) on the side of Prospect Park West for docked bikes.<\/li>\n<\/ul>\n\n\n\n<p>(1) Here is the corresponding plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15592d28&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15592d28\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 7th plot with the results of the most popular routes by casual users (for routes used &gt; 1000 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1190\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_18_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 7th plot with the results of the most popular routes by casual users (for routes used &gt; 1000 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>After adding the most popular routes by casual users (used &gt; 500 times) to the plot above, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>There are no popular routes (used &gt; 1000 or even &gt; 500 times) for electric bikes by casual users.<\/li>\n<\/ul>\n\n\n\n<p>(2) Here is the corresponding updated plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15592f16&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15592f16\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 8th plot with the results of the most popular routes by casual users (for routes used &gt; 500 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1191\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_19_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 8th plot with the results of the most popular routes by casual users (for routes used &gt; 500 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"the-most-popular-routes-by-annual-members\">8.6. The Most Popular Routes By Annual Members (Used &gt; 1000 Times (1) And Used &gt; 500 Times (2))<\/h3>\n\n\n\n<p>After building a plot for the most popular routes by casual users (for routes used &gt; 1000 times), I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most popular routes for classic bikes are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lower_East_Side\" target=\"_blank\" rel=\"noreferrer noopener\">Lower East Side<\/a> nearby the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Kips_Bay,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Kips Bay<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lincoln_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Lincoln Tunnel<\/a>, and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/East_Harlem\" target=\"_blank\" rel=\"noreferrer noopener\">East Harlem<\/a>.<\/li>\n\n\n\n<li>The most popular routes for docked bikes are located at at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Yorkville,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Yorkville<\/a> neighborhood. Several pretty popular routes for docked bikes are also located around a half of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Queensbridge_Houses\" target=\"_blank\" rel=\"noreferrer noopener\">Queensbridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg,_Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg<\/a> neighborhood, at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> (especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>), &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes. For docked bikes, it is at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect<\/a><a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\"> Park (Brooklyn)<\/a> on the side of Prospect Park West.<\/li>\n\n\n\n<li>As it can be seen on the plot, there are no routes used by electric bikes.<\/li>\n<\/ul>\n\n\n\n<p>(1) Here is the corresponding plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15593160&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15593160\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 9th plot with the results of the most popular routes by annual members (for routes used &gt; 1000 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1192\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_20_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 9th plot with the results of the most popular routes by annual members (for routes used &gt; 1000 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<p>After adding the most popular routes by casual users (used &gt; 500 times) to the plot above, I found out that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The most popular electric bike routes are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Pulaski_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Pulaski Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Garment_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Garment District<\/a> neighborhood, and at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Financial_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Financial District<\/a> neighborhood nearby <a href=\"https:\/\/en.wikipedia.org\/wiki\/1_New_York_Plaza\" target=\"_blank\" rel=\"noreferrer noopener\">One New York Plaza<\/a>.<\/li>\n<\/ul>\n\n\n\n<p>(2) Here is the corresponding updated plot:<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d8f15593363&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d8f15593363\" class=\"wp-block-image alignwide size-full wp-lightbox-container\"><img decoding=\"async\" width=\"895\" height=\"583\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&quality=85&webp=85&sharp=1\" alt=\"The 10th plot with the results of the most popular routes by annual members (for routes used &gt; 500 times) for the &quot;New York City Bike-Sharing During COVID-19 (Data Analysis)&quot; project by Vlad Dorokhin.\" class=\"wp-image-1193\" srcset=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 895w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02-300x195.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 300w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02-768x500.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1 768w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=179 179w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=358 358w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=537 537w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=716 716w, https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20221115_21_new_york_city_bike_sharing_during_covid_19_data_analysis_02.jpg?strip=all&amp;quality=85&amp;webp=85&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 895px) 100vw, 895px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em>(The 10th plot with the results of the most popular routes by annual members (for routes used &gt; 500 times).)<\/em><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"suggestions-to-the-questions-guiding-the-future-marketing-program-for-citi-bike\">8.7. Suggestions To The Questions Guiding The Future Marketing Program For \u00abCiti Bike\u00bb<\/h3>\n\n\n\n<p>Using the data presented above, I was able to give my suggestions to the 4 questions guiding the possible future marketing program for \u00abCiti Bike\u00bb:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>How do casual riders and annual members use \u00abCiti Bike\u00bb bikes differently?<\/li>\n\n\n\n<li>Why would casual riders buy \u00abCiti Bike\u00bb annual memberships?<\/li>\n\n\n\n<li>How can \u00abCiti Bike\u00bb influence casual riders to become members?<\/li>\n\n\n\n<li>How can \u00abCiti Bike\u00bb influence annual members to use its services even more?<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"how-do-casual-riders-and-annual-members-use-citi-bike-bikes-differently\">8.7.1. How do casual riders and annual members use \u00abCiti Bike\u00bb bikes differently?<\/h4>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>1. Casual riders:<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Take rides with a greater distance and 2 times more length on average.<\/li>\n\n\n\n<li>Make the most number of trips on Saturdays and Sundays (i.e., weekends).<\/li>\n\n\n\n<li>Make much fewer trips during the workweek (Monday \u2014 Friday), with Mondays being the least active day for them.<\/li>\n\n\n\n<li>Use classic bikes much more frequently than electric bikes, every day of the week.<\/li>\n\n\n\n<li>Use classic bikes the most on Saturday, followed by Sunday. The usage of electric bikes is more or less stable for casual members during the whole week.<\/li>\n\n\n\n<li>The most popular routes for docked bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a> \u2014 especially on the side of W 59th St.<\/li>\n\n\n\n<li>The most popular routes for classic bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> \u2014 especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>.<\/li>\n\n\n\n<li>The notable popular route for classic bikes is located on the West St on the side of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hudson_River_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Hudson River Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Brooklyn Bridge<\/a> &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a>) on the side of Prospect Park West for docked bikes.<\/li>\n\n\n\n<li>There are no popular routes (used &gt; 1000 or even &gt; 500 times) for electric bikes.<\/li>\n<\/ul>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>2. Annual members:<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Take rides with a smaller distance and 2 times less length on average.<\/li>\n\n\n\n<li>Make a lot more bike trips during the week.<\/li>\n\n\n\n<li>Make the most number of trips on Wednesdays (the middle of the workweek) and make the least amount on Sundays.<\/li>\n\n\n\n<li>Make more trips during the workweek rather than on weekends in general.<\/li>\n\n\n\n<li>Use classic bikes much more frequently than electric bikes, every day of the week.<\/li>\n\n\n\n<li>Use both electric bikes and classic bikes much more than casual users.<\/li>\n\n\n\n<li>Use classic bikes the most on Wednesday (the middle of the workweek) followed by Thursday and Tuesday. These exact days (in the same order) are the most popular for electric bikes usage by members as well.<\/li>\n\n\n\n<li>The most popular routes for classic bikes are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lower_East_Side\" target=\"_blank\" rel=\"noreferrer noopener\">Lower East Side<\/a> nearby the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Kips_Bay,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Kips Bay<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Lincoln_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Lincoln Tunnel<\/a>, and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/East_Harlem\" target=\"_blank\" rel=\"noreferrer noopener\">East Harlem<\/a>.<\/li>\n\n\n\n<li>The most popular routes for docked bikes are located at at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Chelsea,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Chelsea<\/a> neighborhood, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Yorkville,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Yorkville<\/a> neighborhood. Several pretty popular routes for docked bikes are also located around a half of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a>.<\/li>\n\n\n\n<li>Outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>, the most popular routes are also located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Queensbridge_Houses\" target=\"_blank\" rel=\"noreferrer noopener\">Queensbridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Williamsburg,_Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Williamsburg<\/a> neighborhood, at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Governors_Island\" target=\"_blank\" rel=\"noreferrer noopener\">Governors Island<\/a> (especially on the side of the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn%E2%80%93Battery_Tunnel\" target=\"_blank\" rel=\"noreferrer noopener\">Hugh L. Carey Tunnel<\/a>), &amp; at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a> for classic bikes. For docked bikes, it is at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a> on the side of Prospect Park West.<\/li>\n\n\n\n<li>The most popular electric bike routes (used &gt; 500 times) are located at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Pulaski_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Pulaski Bridge<\/a>, at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Garment_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Garment District<\/a> neighborhood, and at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Financial_District,_Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Financial <\/a><a href=\"https:\/\/en.wikipedia.org\/wiki\/Financial_District,_Manhattan\">District<\/a> neighborhood nearby <a href=\"https:\/\/en.wikipedia.org\/wiki\/1_New_York_Plaza\" target=\"_blank\" rel=\"noreferrer noopener\">One New York Plaza<\/a>.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"why-would-casual-riders-buy-citi-bike-annual-memberships\">8.7.2. Why would casual riders buy \u00abCiti Bike\u00bb annual memberships?<a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.2.-Why-would-casual-riders-buy-Citi-Bike-annual-memberships?\"><\/a><\/h4>\n\n\n\n<p>Casual riders would buy annual memberships to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Save money.<\/li>\n\n\n\n<li>Increase the convenience of \u00abCiti Bike\u00bb bikes usage.<\/li>\n\n\n\n<li>Stop thinking about paying for every single ride over and over again.<\/li>\n\n\n\n<li>For possible access to additional statistics <em>(how many calories they burned, routes they take the most, etc.)<\/em> with gamification elements <em>(daily achievements, local challenges, etc.)<\/em><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"how-can-citi-bike-influence-casual-riders-to-become-members\">8.7.3. How can \u00abCiti Bike\u00bb influence casual riders to become members?<a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.3.-How-can-Citi-Bike-influence-casual-riders-to-become-members?\"><\/a><\/h4>\n\n\n\n<p>\u00abCiti Bike\u00bb can influence casual riders to become members by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Offering weekly and monthly subscription plans in addition to the day pass and annual membership plan \u00abCiti Bike\u00bb <a href=\"https:\/\/citibikenyc.com\/pricing\">currently has<\/a> to motivate casual users to use \u00abCiti Bike\u00bb services more during the workweek (i.e., Monday \u2014 Friday).<\/li>\n\n\n\n<li>Offering special electric bikes-only subscription plans, which will be cheaper than \u00abfull\u00bb <em>(classic + electric bikes)<\/em> plans, as casual members use classic bikes much more frequently than electric bikes every day of the week.<\/li>\n\n\n\n<li>Offering a discount for subscribing to the weekly\/monthly\/annual membership plan, which became a standard practice for subscription-based services. The bigger subscription is purchased \u2014 the bigger the discount should be!<\/li>\n\n\n\n<li>Offering detailed statistics to \u00abCiti Bike\u00bb weekly\/monthly\/annual members: how many calories they burned, routes they take the most, etc. Casual riders take rides with a greater distance and 2 times more length on average \u2014 therefore, more such statistics can be presented to them and more data \u00abCiti Bike\u00bb can acquire from these users!<\/li>\n\n\n\n<li>Offering social and saving opportunities to \u00abCiti Bike\u00bb weekly\/monthly\/annual members: group bike riding with other \u00abCiti Bike\u00bb members, discounts in partnership stores, etc. For example, since the most popular routes for docked bikes are located at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Central_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Central Park<\/a>, why not to think about mutual partnership with a dating service like \u00ab<a href=\"https:\/\/en.wikipedia.org\/wiki\/Tinder_(app)\" target=\"_blank\" rel=\"noreferrer noopener\">Tinder<\/a>\u00bb, \u00ab<a href=\"https:\/\/en.wikipedia.org\/wiki\/Bumble\" target=\"_blank\" rel=\"noreferrer noopener\">Bumble<\/a>\u00bb, or \u00ab<a href=\"https:\/\/en.wikipedia.org\/wiki\/Hinge_(app)\" target=\"_blank\" rel=\"noreferrer noopener\">Hinge<\/a>\u00bb for summer?<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"how-can-citi-bike-influence-annual-members-to-use-its-services-even-more\">8.7.4. How can \u00abCiti Bike\u00bb influence annual members to use its services even more?<a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#5.7.4.-How-can-Citi-Bike-influence-annual-members-to-use-its-services-even-more?\"><\/a><\/h4>\n\n\n\n<p>\u00abCiti Bike\u00bb can influence annual members to use its services even more by:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Offering special gamification elements <em>(like achievements \/ usage strikes)<\/em> during the weekends, as annual members make the least number of rides on Sundays and Saturdays.<\/li>\n\n\n\n<li>Offering promotional invites for cheap daily\/weekly passes for an annual member&#8217;s friends and\/or family members. These invites might motivate annual members to take rides with their friends\/family on weekends (i.e., using \u00abCiti Bike\u00bb more). Additionally, it also motivates these friends and\/or family members to start using \u00abCiti Bike\u00bb services on a weekly basis and consider paying for a subscription plan.<\/li>\n\n\n\n<li>Offering special electric bikes-only gamification elements <em>(like achievements \/ usage strikes)<\/em> and promotions from partners, as annual members use classic bikes much more frequently than electric bikes every day of the week.<\/li>\n\n\n\n<li>Sending occasional newsletter emails to annual members about advantages of using electric bikes in comparison with classic ones. As annual members use classic bikes much more frequently than electric bikes every day of the week, it reduces the lifespan of the electric bikes and \u00abCiti Bike\u00bb spends budget ineffectively on restoring these bikes and changing their batteries.<\/li>\n\n\n\n<li>Increasing amount of \u00abCiti Bike\u00bb bikes and advertisement presence at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Hudson_River_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Hudson River Park<\/a>, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn_Bridge\" target=\"_blank\" rel=\"noreferrer noopener\">Brooklyn Bridge<\/a> (outside of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Manhattan\" target=\"_blank\" rel=\"noreferrer noopener\">Manhattan<\/a>), the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Franklin_D._Roosevelt_Four_Freedoms_Park\" target=\"_blank\" rel=\"noreferrer noopener\">Franklin D. Roosevelt Four Freedoms Park<\/a>, and at <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a>), since these areas are pretty popular among both types of users \u2014 casual ones and annual members.<\/li>\n\n\n\n<li>Testing advertisement presence in <a href=\"https:\/\/en.wikipedia.org\/wiki\/Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Brooklyn<\/a> at its biggest parks: <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prospect_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Prospect Park (Brooklyn)<\/a>) (besides the side of Prospect Park West), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Sunset_Park,_Brooklyn\" target=\"_blank\" rel=\"noreferrer noopener\">Sunset Park<\/a>, the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Dyker_Beach_Park_and_Golf_Course\" target=\"_blank\" rel=\"noreferrer noopener\">Dyker Beach Park and Golf Course<\/a>, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Luna_Park_(Coney_Island,_2010)\" target=\"_blank\" rel=\"noreferrer noopener\">Luna Park (Coney Island)<\/a>), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Marine_Park_(Brooklyn_park)\" target=\"_blank\" rel=\"noreferrer noopener\">Marine Park<\/a>), <a href=\"https:\/\/en.wikipedia.org\/wiki\/Highland_Park_(Brooklyn)\" target=\"_blank\" rel=\"noreferrer noopener\">Highland Park<\/a>), etc.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"act\">9. Act<a href=\"https:\/\/www.kaggle.com\/code\/vladdorokhin\/citi-bike-bike-share-analysis-03-2021-03-2022#6.-Act\"><\/a><\/h2>\n\n\n\n<p>The step consists of these tasks I have already completed above <em>(8. Share)<\/em>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prepare a final version of a report on data analysis to stakeholders.<\/li>\n\n\n\n<li>Report on the data analysis to the stakeholders.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"references\">10. References<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>The <a href=\"https:\/\/ev2go68zfpe.exactdn.com\/en\/wp-content\/uploads\/sites\/2\/2023\/01\/20230129_01_new_york_city_bike_sharing_during_covid_19_data_analysis_logo_en_01.jpg?strip=all&quality=85&webp=85&sharp=1&w=2560\" target=\"_blank\" rel=\"noreferrer noopener\">post featured image<\/a> by <a href=\"https:\/\/vladdorokhin.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Vlad Dorokhin<\/a> is licensed under <a href=\"https:\/\/creativecommons.org\/licenses\/by-sa\/4.0\/\" target=\"_blank\" rel=\"noreferrer noopener\">CC BY-SA 4.0<\/a><\/li>\n\n\n\n<li>A <a href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Alley,_tableau,_women,_man,_bicycle,_backpack_Fortepan_2433.jpg\" target=\"_blank\" rel=\"noreferrer noopener\">black-and-white image of people on bicycles<\/a> is licensed under the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Public_domain\" target=\"_blank\" rel=\"noreferrer noopener\">public domain<\/a><\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<p class=\"has-text-align-center\"><strong>\ud83c\uddf7\ud83c\uddfa <a href=\"https:\/\/vladdorokhin.com\/ru\/2022\/11\/15\/analiz-dannykh-veloprokata-v-nyu-yorke-vo-vremya-covid-19\/\">\u0420\u0423\u0421\u0421\u041a\u041e\u042f\u0417\u042b\u0427\u041d\u0410\u042f \u0412\u0415\u0420\u0421\u0418\u042f<\/a> | \ud83c\uddf7\ud83c\uddfa <a href=\"https:\/\/vladdorokhin.com\/ru\/2022\/11\/15\/analiz-dannykh-veloprokata-v-nyu-yorke-vo-vremya-covid-19\/\">RUSSIAN-LANGUAGE VERSION<\/a><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n","protected":false},"excerpt":{"rendered":"<p>A professional research project of Vlad Dorokhin consisting of historical trip data from March 2021 to March 2022.<\/p>\n","protected":false},"author":1,"featured_media":1169,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[34,2],"tags":[26,13,12],"class_list":["post-1126","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-random-notes","category-works","tag-26","tag-images","tag-text"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v19.4 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>New York City Bike-Sharing During COVID-19 (Data Analysis) | Vlad Dorokhin<\/title>\n<meta name=\"description\" content=\"A professional research project of Vlad Dorokhin consisting of historical trip data from March 2021 to March 2022.\" \/>\n<meta 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