Udacity-NanoDegree-Project-For-Programming-For-DataScience-Using-Python
Date created
17/06/2020
Project Title
US Bike share
Description
key findings:
1.Popular travel time
most common month , most common week ,most common time (i.e,at what period)
2.Popular stations and trip
most common start and end station ,most common combination of travel(i.e,start and end of the trip )
3.Trip duration
Total travel time,average travel time
4.Raw data
you can also view the raw data of random trip by filtering by month ,week ,destination,start point ,end point
Files used
bikeshare.py code for all mention above findings