Data Exploration Using Python.
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Updated
Oct 9, 2022 - Jupyter Notebook
Data Exploration Using Python.
Collect and pre-process historical trip data from major bike sharing companies
🚲 Bike Share Route Planner
Bike sharing prediction using Neural Networks
Explore US bikeshare data to find out how these bike-sharing systems are used
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.
Using Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington
Spatial patterns of seasonal ridership, built environment and social demographics: A taxonomy of Bike Share Toronto stations
Python project to analyze US bikeshare data from Chicago, New York, and Washington. Provides descriptive statistics and an interactive terminal experience.
Capital Bikeshare dock spotter / data retriever. Text-based app for SMS devices.
show all Vancouver carshare, bikeshare, and transit options on one map. Access Car2Go, Evo, Modo, and Mobi Bikes in one place!
GitHub project (Project 3) repository for PDSND
Udacity Data Analysis Nanodegree Project - Explore US Bikeshare Data
A chrome extension that gives you insights into your Toronto Bike Share Data
⚡🚲⏰ Get a push notification in the morning for the nearest JUMP bike!
This project will join together multiple data sets (including air quality, weather, built environment, etc) to combine with bikeshare ridership to assess how the system responds to different conditions. Additionally, the data will be combined with variables reflecting changes in a local driving restriction policy to assess how the system respond…
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