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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

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