Data 
For our analytics, we first picked one month from Citi Bike open data\cite{data} to test our hypothesis. We used pandas to read in the Citi Bike files. We extract the hour of the start time of every ride, and aggregated men and women (1=men and 2=women  in Citi Bike data)  for each hour of the day, averaged over the month.