That's So Sick

Track disease prevalence and provide solutions using socioeconomic and healthcare data. As a purely data visualization app, our app scrapes a number of socioeconomic and disease related information from online sources such as Wolfram alpha and Twitter.

Made with love at HackHarvard 2015 by Janine Ko, Anthony Liu, Sharon Shu and James Xue. Tools used: Node.js, Twitter API, Wolfram Alpha API, Leaflet.js, D3.js, Materialize

Live version is available at janineko.github.io/hackharvard. If you have any questions, reach out to us via email!

Name		Name	Last commit message	Last commit date
data		data
public		public
.gitignore		.gitignore
README.md		README.md
gnip.js		gnip.js
incomes10.json		incomes10.json
incomes11.json		incomes11.json
incomes2.json		incomes2.json
incomes3.json		incomes3.json
incomes4.json		incomes4.json
incomes5.json		incomes5.json
incomes6.json		incomes6.json
incomes7.json		incomes7.json
incomes8.json		incomes8.json
incomes9.json		incomes9.json
index.html		index.html
latlng_1.json		latlng_1.json
latlng_2.json		latlng_2.json
latlng_3.json		latlng_3.json
latlng_4.json		latlng_4.json
latlng_5.json		latlng_5.json
latlng_6.json		latlng_6.json
latlng_full_short.json		latlng_full_short.json
package.json		package.json
server.js		server.js
sneeze.js		sneeze.js
wolfram.py		wolfram.py
wolfram_2.py		wolfram_2.py
wolfram_incomes.py		wolfram_incomes.py
wolfram_latlng.py		wolfram_latlng.py
wolfram_latlng_shorten.py		wolfram_latlng_shorten.py

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