The following analysis is based on the data available for the GoBike Share program in the San Francisco area. It is provided here by Lyft. This dataset represents trips taken by members of the service for month of February of 2019. It contains info about trips taken by service's members, their types, their age, their gender, stations of starting and ending trips, duration of trips etc.
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Univariate Exploration:
The majority lasting below the 10 minutes mark and the average trip lasts between 1 and around 100 minutes.
The majority of the users are between the age of 20 to 40 years old.
The majority of trips are led by Subscribers rather than Customers.
The male users are dominating the trips with more than 12000 users while the females are around or slightly more than 4000 users.
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Bivariate Exploration:
The majority of users are between 15 to 45 years old with concentrated high duartion of trips around the age of 30 years old.
The amount of male riders are obviously higher than the others but the longer trips came from other gender and females more than males.
The longer trips were preformed more by Customers more than Subscribers.
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Multivariate Exploration:
More frequent longer duration for Other between the age of 50 to 60 years old.
We can see that both Customer and Subscriber are the same regarding the trends for age and trip duration. It's noticeable that there is a slightly higher age for subscribers having higher duration trips than customers.
The Impact age has on the duration of rides by the bikers.