UDACITY - Advanced-Data-Analysis Track Project
FordGo Bike - Trip Dataset
This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area in Feb2019. The dataset after cleaning contains 174952 trips with 15 features. The features are:
- duration_sec : duration for the trip in second
- start_station_name : the trip start station name
- end_station_name : the trip end station name
- start_station_latitude : start station latitude location
- end_station_latitude : end station latitude location
- user_type : Members divided to Subscriber (subscribe to the service) or Customer (normal customer)
- start_date : the date at which the trip start
- end_date : the date at which the trip end
- start_station_longitude : start station longitude location
- end_station_longitude : end station longitude location
- start_week : the day of the week at which the trip start (Saterday, Sunday, Monday, Tuesday, Wednesday, Thursday and Friday)
- end_week : the day of the week at which the trip end (Saterday, Sunday, Monday, Tuesday, Wednesday, Thursday and Friday)
- start_day : strat day of month (1-31)
- end_day : end day of month (1-31)
- bike_share_for_all_trip : bike share for all trip
- member_birth_year: birth year for user
- member_gender: user gender (Male, Female)
Summary of Findings
- High duration trips does not related to gender but and most trips consist of mid age users.
- Age range of subscribers user type are slightly larger than customers.
- Subscriber users uses the 3 main staions locations more than other users types.
- Male spread on the 3 main locations (clusters) more than Females.
- User who started thire journey from the left cluster are more likely to share bike for all trip than users who use bikes from both right locations.
Key Insights for Presentation
- Distribution for trips over (Duration / Sec , Age, User Type, Member Gender, Bike Share, Start and End Stations).
- Station Locations (latitude and longitude)
- Days of Month and Day of Week
- The correlation between the numerical features.
- The relation between the main features which are (Duration, Age and Gender).