We ingest the comma separated data file into a pandas data frame in order to wrangle the data. Displaying the head of each file  reveals a snapshot of the original sixteen column names as well as a preview of the first n rows for each set. We drop the columns that are not of interest in order to make the computation more efficient keeping only the usertype column and date column. We run the the describe method and count the number of "isnull" rows to check the data for any null values.