Project: Communicate Data Findings [Fifa GoBike System Data]

By: Kamel Mohamed

Dataset Description

Fifa GoBike System Data includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.

The dataset consists of 183412 rows and 16 columns --> 2 columns converted from string to datetime, 9 numerical columns and 5 object(string) columns.

The dataset after cleaning and adding some feature engineering became 174952 rows and 21 columns.

Most Used columns:

• duration_sec.
• start_time (After Filtration and turned into weekday and day and hour).
• member_birth_year(Used as age).
• member_gender.
• user_tyep.

Conclusions:

• The duration vary from 100 to 5000 sec but it has a high peak at 500.
• The Age vary from 15 to 80 and has a high peak at 35.
• Most of the users are males and there is a few females and few other types.
• Most of the users are subscribers not customers.
• Weekend days has the least rides.
• 8 A.M and 5 P.M (17) has the most rides.
• There are no relation between the monthdays and the number of rides.
• Most of rides start and end in different stations.
• Customers do longer trips than subscribers.
• Females - in general - do longer trips than males and others.
• Older males do longer trips than females and others.