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