Bike Share > Google Data Case Study
The following project is a Bike-Sharing Data Analysis from Capital Bikeshare (Washington D.C) as part of the Google Data Analytics Professional Program.
The Bike Sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season, hour of day can affect the rental behaviors. The core data set is related to the two-year historical log corresponding to the years 2011 and 2012 from the Capital Bikeshare system, Washington D.C., which is publicly available in http://capitalbikeshare.com/system-data. We aggregated the data on two hourly and daily basis and then extracted and added the corresponding weather and seasonal information. Weather information is extracted from http://www.freemeteo.com.
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