We analyzed trends among the symptoms of multiple sclerosis (MS) and the the different variations of MS. We used Pandas to analyze the data and D3.js to create a radar chart which we believed would be most representative of the difference in the data.
In order to deploy the data, one must cd into 'visualization', the directory which contains app.js. From there, the scripts are ready to be loaded to the server.
cd visualizaton
python -m http.server
D3.js- a JavaScript library for producing dynamic, interactive data visualizations in web browsers
Data analysis and Visualization - Navil Perez Data Cleaning and Test Creations - Friederike Buck, Ben Gruber, Romeo Flores.
This code adapted from Chris Zhou http://bl.ocks.org/chrisrzhou/2421ac6541b68c1680f8
This code is meant to provide graphics ready to be embedded into a website. In order to see the graphics locally, please see deployment section. Make sure to not change the organization of the files as our scripts will then not be able to