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Bikeshare Project

By Ambi (Amarjit) Singh

This is a Bikeshare Project created for Udacity's Programming for Data Science with Python.

Date created

This project was created on June 03, 2019

Description

This project is built using Python. It analyses the data to find out some interesting statistics.
The questions are as follows:

  • What is the most popular month?
  • What is the most popular day of week?
  • What is the most popular hour of day?
  • What is the total trip duration and average trip duration?
  • What is the most popular start station and most popular end station?
  • What is the most popular trip?
  • What are the counts of each user type?
  • What are the counts of gender?
  • What are the earliest, most recent, and most popular birth years?

By running this code, it will show statistics of the following cities: New York City, Washington, and Chicago.

Contents & Files

The contents of the project are:

  • bikeshare.py - The main file to run this project

It contains data for three cities. You can download 3 csv files from here.

  • chicago.csv
  • new_york_city.csv
  • washington.csv

Requirements

Python 3 is required to run this project

How to run the project

Download the project locally on your computer. Extract the project and navigate to the project directory.
Place the datasets in this directory.
Open either the terminal in Linux or command prompt in Windowns in this location and type the following command.
The program will execute

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Project 3 for Udacity's Programming for Data Science

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  • Python 100.0%