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