This data set includes details about individual rides made in a bike-sharing system covering the greater San Francisco Bay area during the period from April to June (spring 2020).
- Most of customers were casual customers, and most of bikes rided were electric bikes.
- Casual customers who used docked bikes have the heighst chances for having a very long trip. While members who used electric bikes are related with the least trip duration.
- Number of trips each week increases over time.
- Visually, there is a potential negative correlation between number of rides per week and mean ride duration, however, further analysis is required for asessing this relationship.
To watch the final visualization slide show: download and open 'slides.slides.html' file. For more extensive details, you can check 'exploration.ipynb' notebook.
- Proportion of users in each category.
- Proportion of bike types.
- Effect of user/bike categoty on trip duration.
- Change of total bike rides over time.