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
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