Reddit mentions of The Visual Miscellaneum: A Colorful Guide to the World's Most Consequential Trivia

It's a type of information portrayal called an infographic. The goal is usually to clearly present data in a visually striking and informative way by combining text with graphics. They can be used for pretty much anything (I had a class assignment to make one about San Francisco Bay water quality) and are often, but not by any means exclusively, made by graphic designers. Here's an awesome book on the topic.

http://www.amazon.co.uk/Information-Beautiful-David-McCandless/dp/0007294662/ref=cm_lmf_tit_1

http://www.amazon.co.uk/The-Visual-Miscellaneum-Colorful-Consequential/dp/0061748366/ref=cm_lmf_tit_2

http://www.amazon.co.uk/Visual-Aid-Never-Enough-Stuff/dp/1906155836/ref=wl_it_dp_v_S_nC?ie=UTF8&colid=1BU0GWLWXVRBT&coliid=I3W2KRV0X5UX2R (This one is great!)

http://www.amazon.co.uk/Visual-Aid-Forgotten-Thought-Learning/dp/1906155488/ref=wl_it_dp_v_nS_nC?ie=UTF8&colid=1BU0GWLWXVRBT&coliid=IPRP6XRGI791

https://www.reddit.com/r/dataisbeautiful/comments/11qmxb/which_dictator_killed_the_most_people/

Bzw. http://www.amazon.com/The-Visual-Miscellaneum-Colorful-Consequential/dp/0061748366/ref=pd_sim_b_1

I'd suggest a few resources:

1. D3.js for working out data visualizations, and 2) the work of Edward Tufte, especially "Beautiful Evidence."
   
   Also, David Mccandless' The Visual Miscellaneum, as well as his website, Information is Beautiful

I would check out Ben Fry's book first.

Then Beautiful Visualization.

There is another good McCandless eyecandy.

Manuel Lima did an amazing book on network visualization with excellent essays from other people. Visual Complexity. Network vis is very difficult and if you want to "game up" understanding the taxonomy he built for network vis will give you a real perspective on the taxonomy in other types of vis.

There are things outside of the "take data and render visualization" world that are critical to data vis, imo. For moving data vis, start with the godfather, Muybridge

And look way way back for the long human history of data vis in cartography with stuff like Cartographia.

Hope to see some more books and discvoer a reading list on this thread! Great idea for a post.

I love sifting through this book.