05th November 2019
The US Bikeshare Project.
In this project, Python is used to explore data related to bike share systems for three major cities in the United States โ Chicago, New York City, and Washington.
The source code takes in raw input from the user to create an interactive experience. According to the input the code will import the data and will provide information by computing descriptive statistics.
bikeshare_2.py
Juno Lee (Udacity Mentor)
https://github.com/junolee https://www.linkedin.com/in/junoleelj The data for all 3 cities that is used in this project can be accessed through the link mentioned below :
City Data The link for commit message style reference for this project is given below :
Udacity Git Commit Message Style Guide.
Statistics Computed: The code helps user to tell about bike share use in Chicago, New York City and Washington by computing a variety of descriptive statistics. In this project, the code output will provide the following information:
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 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) Trip duration:
total travel time average travel time User info:
counts of each user type counts of each gender (only available for NYC and Chicago) earliest, most recent, most common year of birth (only available for NYC and Chicago)
Date created Include the date you created this project and README file.
Project Title Replace the Project Title
Description Describe what your project is about and what it does
Files used Include the files used
Credits It's important to give proper credit. Add links to any repo that inspired you or blogposts you consulted.