Overview

If like me you had the chance to live in a big city or a capital, you certainly came across these bikes :

Theses bike sharing services are pretty popular nowadays and as a user I’m a pretty big fan of them. That’s why as a Data Science student I chose to dig and play a bit with the data I could find about them.

The project consist in a small one-page dashboard to analyze and predicts the cycle share trips of the Pronto Cycle Share system, that was operating between 2014 and 2016 in Seattle, USA.

This project was built with FastAPI, MongoDB, Docker, Bootstrap and Chartjs.

Project can be accessed at the following url :
Pronto Dashboard

Submission Category:

This project belongs to the Prime Time category.

Link to Code

duranbe / bike-sharing

Dashboard on Pronto Bikes Data ‍️ for MongoDB Atlas Hackathon

Bike Sharing

Pronto Bike Sharing Dashboard

Overview

The project consist in a small one-page dashboard to analyze and predicts the cycle share trips of the Pronto Cycle Share system, that was operating between 2014 and 2016 in Seattle, USA.

It was created for the DEV.TO and MongoDB atlashackathon

Dev post : https://dev.to/duranbe/explore-and-predict-seattle-city-bikes-trips-cac

This project was built with FastAPI, MongoDB, Docker, Bootstrap and Chartjs.

Setting up the project

This project is built with Docker ,

First step is to build the image

docker build . -t bike-sharing

Then create a container, map the network port and the .env file

docker run --name bike-sharing-container -p 80:80 --env-file .env bike-sharing

To stop and delete the container

docker rm --force bike-sharing-container

Ressources

View on GitHub

Additional Resources / Info

原文链接：Explore Seattle City Bikes trips

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