udacity NanoDegree project for Programming for Data Science using Python
Date created
29/04/2020
project Title
us bike share
Description
key findings :
1 Popular times of travel (i.e., occurs most often in the start time)
most common month, most common day of week, most common hour of day,
2 Popular stations and trip
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)
3 Trip duration
total travel time, average travel time,
4 User info
counts of each user type, counts of each gender (only available for NYC and Chicago)
Files used
bikeshare.py code for all the above findings