DataAnalytics Solar Racing Team Demo

A demo/proof of concept for Stony Brook Solar Racing's telemetry system

Instructions

• Download node.js
• Run npm install
• Run node app.js
• Run python readarduino.py (Note: this needs to be running the same time as app.js)
• Launch the app in your browser (http://127.0.0.1:5000/)

-- DEPRECATED --

Data Analytics app for the Stony Brook Solar Racing Team

Learning Goals

• Programming in a team
• Documentation
• Git
• Web development
• HTML
• CSS
• Backend development

Design Specifications

• Website Interface

  • User can download all raw data from a specified time range as csv or json (!)
  • User can view data in a specified time range numerically (!)
  • User can view data in a specified time range graphically

• API Endpoint

  • Will receive intermittent requests with new sets of data as csv or json (!)

• Database

  • Store all data in a database (!)

• Additional Features

  • Statistical interpolation/inferencing
  • Pattern detection

Items with exclamations (!) are high priority All others are long term (i.e. potentially features that can be added next year)

Data

Sample files for a how received data will be formatted will be stored in sample_data. We do not yet know the types of data that will be required, but creating a simple working product with velocity data formatted as seen in the appropriate file is a good start. It may be to your benefit to create a dummy data generator.

Make sure the code is clean and modular so that incorporating new types of data or modifying existing model classes is easy.