Description

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.

Reviews

On Apr 3 Rob Lambert wrote:
Full Review  >

Rating: 3.0

On Nov 24 Ivo Flipse wrote: Designing Data Visualizations [Review]
I got to review this book through O’Reilly, I made the mistake of reading it on the Kindle. Due to this I couldn’t make heavy use of all the links the authors shared and all the color images were black and white. Especially the latter was a handicap when reading… Full Review  >

Rating: 3.0

On Oct 28 Ionut Artarisi wrote: a helicopter-view introduction to data visualization
The book is however very well structured and entirely theoretical; it won’t try to tell you what to draw and when; just what a data visualization is, what they usually look like, what they look like when they’re bad and what they look like when they’re really good. Full Review  >

Rating: 2.0

On Oct 23 Shawn Day wrote: A Concise and Valuable Intro to Data Vis
Insight­ful, sub­stant­ive and a must read for any­one work­ing with data visu­al­isa­tion as con­sumer or designer. Julie Steele andNoah Iliisky’s new volume — Design­ing Data Visu­al­isa­tions — from O’Reilly suc­ceeds in apply­ing a long over­due and well craf­ted taxo­nomic pro­cess to the art of Data Vis. Full Review  >

Rating: 4.0