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Explore-US-Bikeshare-Data

Project:

Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride.

Regardless, each bike can serve several users per day.Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used.

In this project, The data is provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns.

Goal to complete the Project

In this project, I need to use the Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I also need to code to import the data and answer interesting questions about it by computing descriptive statistics. Plus, I make a script that takes in raw input to create an interactive experience in the terminal to present these statistics.

The Goal to Complete the project:
           FIND:

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)
  • earliest, most recent, most common year of birth (only available for NYC and Chicago)
Another Files in Explore-US-Bikeshare-Data:
  • bikeshare.py is interpretated in python
  • chicago.csv : record of the city
  • new_york_city.csv : record of the city
  • washington.csv : record of the city

Explore-US-Bikeshare-Data uses some open source projects to work properly:
  • [Python 3] - jupyter notebook is an open source and used to data analyze with python code
  • [ipython] - use it as a terminal
  • [numpy] - is a fundamental scientific computing.
  • [Pandas] - uses to clean, organize, convert, and merge the data.

License

MIT