Analysing bike data from three different cities in the US

Python3 library for working with the Philadelphia Indego Bike Share API

bicidata is a framework to work with the General Bikeshare Feed Specification (GBFS) data and aims to develop several services to collect, process and publish data from GBFS feeds different front-ends, such as, social media bots, etc.

This repository contains Python scripts that download and analyze data from the Citibike bike-sharing system in New York City.

Collect and pre-process historical trip data from major bike sharing companies

Visualizing the bikeshare data with mapbox.

Udacity Project Bikeshare Data

Using Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington

Python project to analyze US bikeshare data from Chicago, New York, and Washington. Provides descriptive statistics and an interactive terminal experience.

In this project, the dataset provided by Motivate (https://www.motivateco.com/), a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. It is designed to be interactive and allows you to compare usage between three large cities: Chicago, New York City, and Washington, DC.

The first project in Data Analysis Professional Nanodegree Program by Udacity.

GitHub project (Project 3) repository for PDSND

Udacity Data Analysis Nanodegree Project - Explore US Bikeshare Data

Algorithm that attempts to guide a bikeshare truck in its task of optimally re-distributing bikes accross the network.

In this project, you will write Python code to import US bike share data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.

Carte des stations NemoVélo indiquant le nombre de vélos et disponibles et d’emplacements libres pour chaque station.

Capital Bikeshare dock spotter / data retriever. Text-based app for SMS devices.

Python script to analyze bikeshare data.

Data exploration project from Udacity's Data Analyst Nanodegree using Python and pandas to uncover commuting trends in US bikeshare systems across three major cities, powered by a CLI-based filtering app.

Automating investigation