A charity hackathon project tying together migration and GDP data.
This project attempts to predict which countries may face a refugee crisis in the future by looking at IDP figure change year on year, and rank countries into 'at risk' and 'improving' categories.
Uses data from The World Bank
Hosted live at https://dataincrisis.ml/
Created by Dylan McKee, Alex Birch and Nic Flynn at the NETV Digital Catapult & Sunderland Software City Charity Data Hackathon.
- NodeJS
- MongoDB
- Chart.js
- A whole host of NPM dependencies as defined in the
package.jsonfile - a run ofsudo npm installin the directory you clone this into should do the trick.
node app.js --import imports the data from the CSV files into MongoDB.