Top products from r/visualization
We found 18 product mentions on r/visualization. We ranked the 17 resulting products by number of redditors who mentioned them. Here are the top 20.
2. Storytelling with Data: A Data Visualization Guide for Business Professionals
Sentiment score: 1
Number of reviews: 1
3. Information Graphics: A Comprehensive Illustrated Reference
Sentiment score: 0
Number of reviews: 1
4. Semiology of Graphics: Diagrams, Networks, Maps
Sentiment score: 0
Number of reviews: 1
Used Book in Good Condition
5. Visual Complexity: Mapping Patterns of Information
Sentiment score: 1
Number of reviews: 1
Used Book in Good Condition
6. Effective Data Visualization: The Right Chart for the Right Data
Sentiment score: 1
Number of reviews: 1
Sage Publications Inc
7. The Accidental Analyst: Show Your Data Who's Boss
Sentiment score: 1
Number of reviews: 1
Used Book in Good Condition
8. Visualization Analysis and Design (AK Peters Visualization Series)
Sentiment score: 0
Number of reviews: 1
AK Peters
9. Beautiful Visualization: Looking at Data through the Eyes of Experts (Theory in Practice)
Sentiment score: 1
Number of reviews: 1
O Reilly Media
10. The Visual Miscellaneum: A Colorful Guide to the World's Most Consequential Trivia
Sentiment score: 1
Number of reviews: 1
11. The Visual Display of Quantitative Information
Sentiment score: 1
Number of reviews: 1
Graphics Press
12. Visualizing Data: Exploring and Explaining Data with the Processing Environment
Sentiment score: 1
Number of reviews: 1
13. Speaking American: How Y’all, Youse , and You Guys Talk: A Visual Guide
Sentiment score: 0
Number of reviews: 1
Houghton Mifflin
14. The Human Figure in Motion
Sentiment score: 1
Number of reviews: 1
no dust jacket
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've read and some bad reviews of Tufte, basically that his style isn't for everyone. I currently report a lot in Excel, thus two of the choices lean towards Excel use. For Tufte, do you recommend The Visual Display of Quantitative Information as the ideal beginner book? Not thrilled about the $40 price tag, but if it's worth it I'll happily pull the trigger.
It's definately more advanced but I'm enjoying this one:
http://www.amazon.com/Data-Visualization-D3-js-Cookbook-Nick/dp/178216216X
Good start. Still far away from encyclopedia. This is the reference: https://www.amazon.com/Information-Graphics-Comprehensive-Illustrated-Reference-ebook/dp/B00VQVNUWM/
This is the approach:
https://www.amazon.com/Semiology-Graphics-Diagrams-Networks-Maps/dp/1589482611/
So come on, continue to make it the encyclopedia of old stuff. Then add new. Especially from big data, molecular biology and genomics.
I actually decided to focus on Processing and bought this http://www.amazon.co.uk/gp/product/0262182629/ref=oh_details_o00_s00_i00
It was suggested in another thread that learning Python or Processing would be a good idea. Do you use javascript?
Blogspam to Amazon affiliate link, bypassing /u/AutoModerator rules.
Here's the actual link: https://www.amazon.com/Speaking-American-Youse-Visual-Guide/dp/0544703391
Eventually take a look at this book to get a deeper view of the art and science of data visualization:
https://www.amazon.com/Visualization-Analysis-Design-AK-Peters/dp/1466508914?ie=UTF8&*Version*=1&*entries*=0
This is the bible of data visualization.
Here is the mobile version of your link