Cyclistic Case Study
By Kevin Webb
Data Source:
https://divvy-tripdata.s3.amazonaws.com/index.html
What is my objective?
How will I do this?
By analyzing publicly available bike ride data, sourced from the Cyclistic database and using R Studio.
Casual Riders VS Member Riders
By looking at the graph you can tell that casual riding is up in the warmer months, especially during summer.
While member riding does dip in the colder months, itβs not as much as casual riding.
This leaves me to believe most members are using the bikes to commute to work. While casual riders use the bikes for leisure.
How can Cyclistic get causal riders to become member riders?
Telling by these two graphs we can see that there are peak hours and peak days.
I propose that if Cyclistic offers a discount to its members during these peak times it would encourage causal riders to sign up for a membership.
Another thing Cyclistic can do to persuade causal riders to sign up for the membership, is by limiting the type of bikes a causal rider can use.
Observing the two graphs above, we can see when the classic bike and electric bike were introduced and we can tell more riders liked the classic bike over the docked bike.
I concluded that if Cyclistic made the classic bike a member exclusive bike. This will encourage casual riders to sign up for the membership.
How can Cyclistic use digital media to influence casual riders to become members?
The graph above shows us what are the popular stations riders start at, undoubtedly if Cyclistic used social media like Instagram and take pictures of these stations, along with offering maps of the city on their own app to their members. It would inspire causal riders to sign up.
Summary.
How do annual member and riders use Cyclistic bikes differently?
Why would casual riders buy Cyclistic annual membership?
How can Cyclistic use digital media to influence casual riders to become members?