Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData

Philadelphia Indego Bicycle Stations

A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.

A case study about a bike-share company to help understand the difference between different users

🚲🤖 Get the status of nearby BCycle stations

Example of Dashing Dashboard with BCycle widgets.

Documentation of Bike Sharing APIs 🚴🛴🛵

London Bike Sharing Dataset

Analysis of CitiBike bike rental system in New York City

This is a data analysis project from Dicoding to pass the Learning Data Analysis with Python class. This project aims to analyse and create a simple dashboard based on data from Capital Bikeshare.

OpenAPI description for MDS data feeds, managed by the Open Mobility Foundation.

Android application for users of station-based share bike systems.

cycle animation with wheel and button animation in one page

Caso Practico: Análisis del uso compartido de bicicletas ( Google Data Analytics professional Certificate)

Python Client for Lyft Bike Sharing Data

A chrome extension that gives you insights into your Toronto Bike Share Data

BikeShareAnalyzer is a Python tool for analyzing bike share data. Get insights on popular times, stations, trip durations, and user information. Analyze data for cities like Chicago, New York, and Washington. Make informed decisions with valuable insights.

This research work will mainly revolve around understanding how annual members and casual riders use cyclistic bikes differently. The comparison along with other tasks will later be used to design marketing strategies aimed at converting casual riders to annual members.

A slim and low-network-use mobile web app for many common bike sharing systems.

This repo contains the Google Data Analytics Capstone - Case Study 1 project, which is the final stage of the Google Data Analytics course on coursera. The description of the code and analysis is posted on my Kaggle account. I hope this repo will help everyone who wants to do this project. thanks.