This is a capstone project for Google Data Analytics Professional Certificate
In 2016, Cyclistic launched a successful bike-share offering. Since then, the program has grown to a fleet of 5,824 bicycles that are geo-tracked and locked into a network of 692 stations across Chicago. The bikes can be unlocked from one station and returned to any other station in the system anytime.
- How do annual members and casual riders use Cyclistic bikes differently?
The data that we will be using is Cyclistic’s historical trip data from last 12 months (November 2020 to October 2021). Data is approximately 1 GB. The data has been made available by Motivate International Inc. on this link.
- Different excel files were merged into a single file.
- Data was cleaned to remove duplicates, NA values, Zero values.
- Then, Column names were cleaned. (Removed whitespaces)
- Data types of columns were converted (eg. Object to Date time).
- New features were extracted from observed data. (eg. Date time to Day of the week)
- For clear understanding click the Link.
Descriptive analysis was carried out to get insights and understand casual users. For more details click.
Thank you Google for a wonderful course. Concept were easily explained, and had a wonderful and fun learning data analysis.
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