bikeshare project as part of the first phase of IOT Nano degree Statistics Computed:
- most common month
- most common day of week
- most common hour of day
- most common start station
- most common end station
- most common trip from start to end (i.e., most frequent combination of start station and end station)
- total travel time
- average travel time
- counts of each user type
- counts of each gender (only available for NYC and Chicago)
- earliest, most recent, most common year of birth (only available for NYC and Chicago)
http://pandas.pydata.org/pandas-docs/version/0.22/generated/pandas.Series.dt.hour.html
https://docs.python.org/2/library/datetime.html#strftime-and-strptime-behavior
https://stackoverflow.com/questions/22402548/default-values-on-empty-user-input-in-python?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://stackoverflow.com/questions/29832455/merging-and-subtracting-dataframe-columns-in-pandas?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa