update readme for github

README.md

-# Proyecto IGEV - Casos de Covid en Europa
+# IGEV Project - Covid Cases in Europe
 
-Este Repo es para mi **Proyecto** en IGEV. Para ver en el navegador el prototipo actual, sigue este enlace: [https://jschiefner.github.io/](https://jschiefner.github.io/)
+This Repo is for my **Project** in the class *Graphical User Interfaces and Virtual Environments*. To see it live in your browser, follow this link: [https://jschiefner.github.io/](https://jschiefner.github.io/). Because this project is for a spanish class, the interface is also spanish 🇪🇸.
 
-### Estructura del proyecto
+<center>
+    <a href="https://jschiefner.github.io/" target="_blank">
+        <img src="https://github.com/jschiefner/proyecto-covid-threejs-igev/blob/main/screenshot.png?raw=true">
+    </a>
+</center>
 
-Hay una parte Frontend para la visualización y una parte Backend para administrar los datos. Actualmente, el Backend no es utilizado. En el frontend, el fichiero [Globe.vue](frontend/src/components/Globe.vue) es el más importante y interesante, porque se trata de la visualización en 3D en que consiste el prototipo actualmente.
+## Project Structure
+
+There are two parts in the repo, a `frontend` folder containing all the code for the visualization and the single page vue app. The `preprocessing` folder contains scripts which preprocess the data from the data sources mentioned below and makes it ready for the frontend to be used.
+
+Use `npm install` in both folders to install dependencies. For the `frontend` you can then use `npm run dev` in the `frontend` folder to run the application on a local development server. In the `preprocessing` folder you can run `npm run update` to update the database with the latest covid data. This needs to be pulled from the data source below first. You also need a postgres database that will hold the covid data. Once imported into the database, it can be written to a json file with `npm run create-covid-file`, this needs to be copied into the `frontend/public/` folder and be required in the frontend code.
+
+## Data
+
+ - [https://www.ecdc.europa.eu/en/publications-data/weekly-subnational-14-day-notification-rate-covid-19](https://www.ecdc.europa.eu/en/publications-data/weekly-subnational-14-day-notification-rate-covid-19) to download covid data
+ - [https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts](https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts) to download territorial data which makes it possible to draw the borders on the map.
+
+Data samples up to a certain point are already included in this repository.

preprocessing/extract_nuts_codes_covid_data.js

 /*
- * get current file from: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts
- * Download options:
- *
- * Year: NUTS 2021
- * File format: GeoJSON
- * Geometry type: Polygons (RG)
- * Scale: 60M (this is the smallest resolution which yields the best performance but other resolutions work too)
- * Coordinate reference system:	EPSG: 4326 (also used by GPS)
- *
+ * Get current data from: https://www.ecdc.europa.eu/en/publications-data/weekly-subnational-14-day-notification-rate-covid-19
+ * choose the JSON format
  */
 
 const fs = require('fs');