\cite{coffee1leaguepui2017_as9788}
\(\)Data
For the purpose of this study Citi Bike dataset\cite{dataset} is used. We are extracting two months to check the robustness of our results. In order to investigate whether the test holds in the winter and summer of 2016, January and July data were studied.
The study is conducted in a reproducible manner using the Jupyter notebook \cite{jupyter}and can be retrieved from github.com repository.\cite{xoxoasekapui2017_ad4336} getCitiBikeCSV(datestring) function \cite{fedherepui2017_fb55} developed by Prof. Federica Bianco\cite{fbb} is used to ingest the comma separated data file into a python's pandas data frame in order to wrangle the data. Displaying the head of each file reveals a snapshot of the original 16 column names as well as a preview of the first 5 rows for each set. We drop the columns that are not of interest, keeping only the usertype and date columns.
From the visualization of the number of trips for each day of the week (Fig. \ref{339733})it can be seen that the number of customers in both months is higher during weekends as compared to weekdays.