Here are 12 months of data on the divvy bicycle sharing service in Chicago. The data was combined to a data frame in which combined all the month's data into one. Therefore, the data was cleaned, organized, sorted, and filtered to find key takeaways on increase rental memberships.

Data is from November 2021 - October 2022 There are 13 columns: RIDE_ID RIDEABLE_TYPE STARTED_AT ENDED_AT START_STATION_NAME START_STATION_ID END_STATION_NAME END_STATION_ID START_LAT START_LNG

I added two columns, Ride_Length and WeekDays, in R to find more data for the business task.

Here are the files and overall markdown.