Recommended readings for my infographics and visualization courses

This post includes a list of recommended (non-mandatory) readings for all my Introduction to Infographics and Data Visualization courses.

The main reading of those classes is my own book: The Functional Art: An Introduction to Information Graphics and Visualization. ** I also mention the series of long-form articles that I am writing for Peachpit Press** ** 1. **Emotional Data Visualization: Periscopic’s “U.S. Gun Deaths” and the Challenge of Uncertainty ** 2. Heroes of Visualization: John Snow, H.W. Acland, and the Mythmaking Problem** ** **AS AN INTRODUCTION, first watch this video lecture: Infographics, the art of visualizing information


Learning to See Oliver Reichenstein

Visual encoding Michael Dubakov

Visual literacy in the age of data Shazna Nessa

On the differences between information-data-scientific visualization(s) Sheila Pontis

Data visualization for human perception Stephen Few

The 8 hats of data visualization design Andy Kirk

**How to become a data visualization expert: A recipe** Enrico Bertini

How to choose your graphic: Graphic Cheat Sheet Billion Dollar Graphics

Storytelling with data Jonathan Corum

A good example of how to criticize and redesign a flawed chart Robert Kosara/EagerEyes

How to choose the right chart Carla Uriona

A survey of powerful visualization techniques, from the obvious to the obscure

Reif Larsen

Infographics and visualizations as tools for the mind Alberto Cairo

Bringing infographics and visualization to the mainstream Alberto Cairo

Ending the infographic plague Megan McArdle

A Quick Illustrated History of Visualization DataArt

Interaction design for data visualizations Lars Grammel

The Science of Information Visualization Robert Kosara

How Much Data Do You Really Need? Robert Kosara

The Explanatory Power of Data Points Robert Kosara

The Three Types of Chart Junk Robert Kosara

Using data visualization to find insights in data Gregor Aisch

About Nigel Holmes Robert Kosara

A history of dishonest Fox Charts MediaMatters

Visualizing Social Facts: Otto Neurath’s ISOTYPE project Frank Hartmann

When maps shouldn’t be maps Matt Ericson

William Playfair and the Psychology of Graphs Ian Spence

Droughts on deadline Kevin Quealy

Using indexed charts to represent change Chandoo

The future of data visualization Drew Skau

10 things you can learn from The New York Times’ data visualizations Andy Kirk

How Governments can better use data visualization Jon Schwabish

Fast thinking and slow thinking visualization Spatial Analysis

Tower Graphics Lulu Pinney

The process of creating data visualizations Jan Willem Tulp

Data art vs. data visualization: Why does a distinction matter? Stephen Few

Data visualization: Clarity of Aesthetics (part 1, part 2, part 3) Ben Jones

Stacked area chart vs. Line chart – The great debate Andy Kriebel

Word Clouds considered harmful Jacob Harris

How to display headlines and intros in graphics Storytelling with data

The case for horizontal bar graphs Storytelling with data

(Now, a few about data journalism)

Computational Journalism reading list Jonathan Stray

Open data journalism Simon Rogers

IT professionals in the newsroom George Wright

Speaking of Graphics: An Essay on Graphicacy in Science, Technology and Business Paul J. Lewi


What makes a good data visualization? With Manuel Lima, Kaiser Fung, Jonathan Stray, and others

Me, one and two (listen to all the other ones, by the way)

Kevin Quealy

Noah Iliinsky (who is author of a nice intro to visualization)

Amanda Cox

Simon Rogers

Hans Rosling

Kim Rees

Bas Broekhuizen


Besides my own The Functional Art, see List 1 and list 2

Visualization Design and Analysis: Abstractions, Principles, and Methods, by Tamara Munzner (draft for upcoming book).

The Form of Facts and Figures: Design Patterns for Interactive Information Visualization, MA dissertation by Christian Behrens.

Also, see this **impressive series of books **by Rune Petterson, downloadable for free.

Rafe Donahue’s Fundamental Statistical Concepts in Presenting Data is great, as well.


In no particular order. I’ve just copied them from my RSS reader in the way they are (un)organized in there. Copy and paste in your browser: