This data collection contains information about individual rides taken in a bike-sharing system serving the greater San Francisco Bay area. This data can be found here.

After data wrangling there are 174952 bikes in the dataset with 13 features including:

1. duration_sec
2. start_time
3. end_time
4. start_station_id
5. start_station_name
6. end_station_id
7. end_station_name
8. bike_id
9. user_type
10. bike_share_for_all_trip
11. member_birth_year
12. member_age
13. member_gender

Members range in age from 21 to 144 years. There are 2 user type customer and subscriber and 3 genders male, female and others. All users appeared to start their trip in February 2019.

The average journey duration was 10 minutes, and the majority of trips started on Thursdays.

Male users made up 74.6 percent of all users, and subscribers made up 91% of all users.

Customers who did not clearly identify their gender travelled the farthest.

A customer from Generation Z who is not clearly gendered could make the longest trip.

I use the bar plots of duration to show its distrubution, then using a point plot I showed the relationship between member age and duration travelled. User type and generation, are covered afterwards, using heatmap chart and bar plot.