Note: Please fork the current Udacity repository so that you will have a remote repository in your Github account. Clone the remote repository to your local machine. Later, as a part of the project "Post your Work on Github", you will push your proposed changes to the remote repository in your Github account.
01/14/2022
US Bikeshare Data Final Project - Udacity's Programming for Data Science with Python Nanodegree
In this project, we will explore data provided by Motivate (a bike share system provider) related to bike share systems for three major cities in the United States: Chicago, New York City, and Washington.
This work was made in Python creating an interactive experience in the terminal in order to discover bike share usage patterns using a variety of descriptive statistics, such as:
#1 Popular times of travel (i.e., occurs most often in the start time)
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most common month
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most common day of week
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most common hour of day
#2 Popular stations and trip
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most common start station
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most common end station
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most common trip from start to end (i.e., most frequent combination of start station and end station)
#3 Trip duration
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total travel time
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average travel time
#4 User info
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counts of each user type
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counts of each gender
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earliest, most recent, most common year of birth
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bikeshare.py
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chicago.csv
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new_york_city.csv
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washington.csv
- Motivate (Bike share system provider)
- Richard Kalehoff (Udacity mentor)
https://github.com/richardkalehoff https://twitter.com/richardkalehoff
- Juno Lee (Udacity Mentor)
https://github.com/junolee https://www.linkedin.com/in/junoleelj