The data for this project is from the ford gobike which has around 1863721 entries with 16 features (duration_sec, start_time, end_time, start_station_id, start_station_name, start_station_latitude, start_station_longitude, end_station_id, end_station_name, end_station_latitude ,end_station_longitude, bike_id, user_type, member_birth_year, member_gender, bike_share_for_all_trip).
Trip Duration is so dependendable on the age of the member, the age is between 25 to 45, the trip duration is higher than the older ages. I also found that there are two types of clients using the system those are subscribers and customers, subscribers use it for shorter trips than customers.
Trip Durations in the dataset veries. Age ranges distribution is between 25 to 45 years old. The distribution of biking durations is skewed. After log transformation and outliner removing.# Communicate-data-finding