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piyushbhargava7

Hands-on Data Visualization with D3.js: Animation (Extra)

Extra: (Comical) Animation

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

And please do not hesitate to reach out to me directly via email at jondinu@gmail.com 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.

Exercises

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
... ... ... ... ... ... ... ... ...

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Github repo: https://github.com/Jay-Oh-eN/hands-on-d3

Archival event link: http://www.eventbrite.com/e/hands-on-data-visualization-with-d3js-tickets-14705972961