Hands on D3!

These are the materials for my workshop on creating interactive data visualization with D3!

I would love your feedback on the materials in the Github issues.

And please do not hesitate to reach out to me directly via email at [email protected] or over twitter @clearspandex

Throughout this workshop, you will learn how to make this interactive parallel coordinate plot of environmental conditions related to incidences of Asthma in SF.

Getting Setup

You will need:

HTTP web server
- On OSX and Linux python -m SimpleHTTPServer
- On Windows, I recommend downloading Mongoose
Text Editor: I recommend Sublime Text
A (modern) Web Browser: I recommend Google Chrome

Once you have downloaded the software above, you are ready to start making some data visualizations!

Get the files: Download the ZIP or git clone https://github.com/Jay-Oh-eN/hands-on-d3.git (git tutorial) this repository.
Start you HTTP web server
- If using a SimpleHTTPServer, navigate into the repository folder (hands-on-d3) on your machine before you start the server.
- If using Mongoose, set the 'Shared Directory' to be the repository folder.
Navigate with a web browser to http://localhost:[port] where [port] is the port the server has started on (SimpleHTTPServer defaults to port 8000)
You should see the directory listing, click on any of the .html files and you should see the charts.

If you need some help with Javascript or D3, refer to the tutorials below

Libraries Used

The Data

The data is from the city of SF about certain environmental and health conditions of given Census tracts in the City. You can read more about the individual fields from the data dictionary.

This comprehensive dataset was used to inform and calculate the Heat Vulnerability Index for our Climate and Health Program. The dataset includes satellite imagery from NASA, temperature data from NOAA and other data sets such as individual physiology, culture, local infrastructure, behavior, and social and demographic characteristics which influence the risk of heat-related health impacts.

There 21 fields in the file (comma separated with headers) but we will be focusing on the following 8 fields:

	AsthmaRates	AirQuality	SurfaceTemperature0908	NonWhite	Income	NoHighSchoolDegree	PopulationDensity	TreeDensity
0	6.299994	2.2	322	0.230650	93777	0.013605	1985.746482	1185
1	6.276086	2.2	316	0.398085	73540	0.130243	27208.307880	6133
2	5.700004	2.1	313	0.124894	171257	0.024085	7245.100198	2989
3	5.699994	2.2	314	0.104333	187377	0.014402	41077.512777	5047
4	5.699984	2.2	312	0.175050	117254	0.040223	21792.728792	3155
...	...	...	...	...	...	...	...	...