from Dr. Dittmer’s blog
This is a list of books on Data Visualization that I came across over the years. You, the reader, have to see which ones speak to you. The only one that is a must is this one:
Others include the following:
- Now You See It: Simple Visualization Techniques for Quantitative Analysis by Stephen Few
- Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics by Nathan Yau
- The Visual Display of Quantitative Information by Edward R. Tufte
For a great introduction to statistics (without programming)…
- Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking by Harvey Motulsky
For the R aficionados on data analysis (not just visualization)…
- Applied Predictive Modeling by Kuhn, Max
- An Introduction to Applied Multivariate Analysis with R (Use R!) by Brian Everitt, Torsten Hothorn
- R Graph Cookbook by Hrishi Mittal
- Chemometrics with R: Multivariate Data Analysis in the Natural Sciences and Life Sciences (Use R) by Ron Wehrens
- The R Book by Michael J. Crawley
- R Graphics (Computer Science and Data Analysis) by Paul Murrell
For those working with images (fluorescent or IHC)…
- Adobe Photoshop Lightroom 4 Book: The Complete Guide for Photographers by Martin Evening — This one is very in-depth. I use it a lot.
Not good, imho…
- Visualizing Categorical Data by Michael Friendly
- Exploring Data in Engineering, the Sciences, and Medicine by Ronald Pearson