Hi DSSD-Madison. Thank you for letting me submit this late, and I remain extremely interested to join and contribute to the team! It looks very exciting. Hope you like my project.
This repository has starter code that you will build on to show your skills as a developer. Fork this repository to get started on your own copy.
Currently, the repository contains some frontend code for a webpage with a graph (made with Plotly.js) populated with mock data recieved from a backend server.
Your job: Populate the graphs with real data.
Your "real data" can come from anywhere: a file that you find on something like kaggle, an enterprise API, Google BigQuery, etc.
To do this, either modify the sample Express.js backend in the backend folder, or create a new backend in your language/framework of your choice.
Since most backends will need environment configurations for secret credentials and such, and might require different steps to run locally, we require you to deploy your backend. One free and easy to use service that supports most popular runtime environments is render, but feel free to use whatever service you'd like. You can just hardcode the URL to your deployed backend endpoint like the sample code has done in graph.mjs.
Make sure to update the webpage to explain the data that your graphs are populated with.
We will view your submission using the VS Code Live Server Extension to serve the frontend on http://localhost:5500, so make sure that is whitelisted for cors on your backend server
Ways to go above and beyond include, but are not limited to:
- use a practical data source i.e. not just a file
- make your graph update in real time
- apply some secondary processing on the data i.e. create new insights on the data
- the more advanced the data science technique, the more impressed we will be
- improve the visual appeal of the webpage