the visual display of quantitative information by edward r tufte

Don’t Lie / Distort the Data / Mislead the Readerĭistortion in graphics comes in many shapes and sizes. This blog post will be serving as a dumping ground for thoughts on the text, including graphics and potential sketches of extensions.ġ. What it means to create an amazing graphic, and how to do so within your texts and full presentations.īelow I’ve summarized these sections.Create graphics that showcase complex ideas and patterns (Associated with data density) with encouragement of multiple graphics in 1.Provide a clean graphic (avoid distractions) and avoid excessive unnecessary non-data-ink, also leverage multifunctionality of graphic display elements.Don’t Lie / Distort the Data / Mislead the Reader with your graphics (Associated with lie factor).Now that I’ve read his text I have a much larger appreciation for this thoughts. That means it may be less of book report / review as a summary highlight points I found most relevant.īefore reading Tufte’s book “The Visual Display of Quantitative Information”, I always saw Tufte as someone that presented views on graphics that were a little too extreme for my taste, largely a thinker reacting to horrible graphics of the time, and not a thinker that would be remembered for much beyond that. I suspect they will be little more than detailed book reports, but will also contain thoughts of mine of relative examples and will focus on formatting the ideas for students of 36-315, a course taught by the Statistics and Data Science Department at Carnegie Mellon University. The blog post will be one of a few posts that focus on Graphical Theory based on some standard texts in the area. Information on aesthetics and data graphical displays is included.Review of Tufte’s 'The Visual Display of Quantitative Information' 6 data variation, and sources of deception are discussed. Time-series, relational graphics, data maps, multivariate designs, as well as detection of graphical deception: design variation vs. Also offered is information on the design of the high-resolution displays, small multiples, editing and improving graphics, and the data-ink ratio. It includes 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Summary: 'This book deals with the theory and practice in the design of data graphics and makes the point that the most effective way to describe, explore, and summarize a set of numbers is to look at pictures of those numbers, through the use of statistical graphics, charts, and tables.

The visual display of quantitative information by edward r tufte