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explore-us-bikeshare-data's Introduction

Project name and description

Explore-US-bikeshare-data

Description: Explore data related to bike share systems for three major cities in the United States-Chicago, New York City, and Washington. All three Cities of the data files contain the same core six (6) columns:

  • Start Time (e.g., 2017-01-01 00:07:57)
  • End Time (e.g., 2017-01-01 00:20:53)
  • Trip Duration (in seconds - e.g., 776)
  • Start Station (e.g., Broadway & Barry Ave)
  • End Station (e.g., Sedgwick St & North Ave)
  • User Type (Subscriber or Customer)

The Chicago and New York City files also have the following two columns:

  • Gender
  • Birth Year

Learning Outcomes

  • Writing code to import the data.
  • Answer interesting questions about the data by computing descriptive statistics.
  • writing a script that takes in raw input to create an interactive experience in the terminal to present these statistics.

Installation instructions

The data set of each cities {United States-Chicago, New York City, and Washington} are available in Kaggle through this link: https://www.kaggle.com/datasets/mohebmhanna/udacity-us-bikeshare-data

Usage guidlines

The following software requirements needed to complete the project:

  • You should have Python 3, NumPy, and pandas installed.
  • A text editor.
  • A terminal application.

By using the softwares mentioned above, write code to provide the following information:

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)

Skills Needed

  • Python and it's libraries.
  • Descriptive statistics.

Contact information

Email: [email protected]

explore-us-bikeshare-data's People

Contributors

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