Contents
<aside> 📄 A Short History of Data Visualisation A brief walk through some of the main innovations and innovators in turning numbers into visuals.
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<aside> 📄 The form of facts and figures Christian Behrens’ thesis starts with a historical review of the discipline's evolution and describes the origin of popular visualisation techniques. It then attempts to establish a framework for a visual language of infographics and charting techniques.
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<aside> 📄 Information Visualization for the People Michael Danziger’s thesis attempts to re-contextualise information visualisation as a public-facing practice, and explores ways in which its design can shift from being described as “by experts, for experts” to a new characterisation as “for the people.”
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<aside> 📄 When Graphs Are a Matter of Life and Death Pie charts and scatter plots seem like ordinary tools, but they revolutionised the way we solve problems.
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<aside> 📄 Japanese Contributions to Data Visualisation A nice read on some beautiful and complex visualisations and infographics produced in Japan in the 1900s.
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<aside> 📄 Information design for advocacy This book explores how to influence issues using the right combination of information, design, technologies and networks using examples of visual information campaigns from around the world.
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<aside> 📄 The 7 Kinds of Data Visualization People An interesting take on the types of data visualization practitioners by Elijah Meeks.
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<aside> 📄 Awesome visualization research A curated list of data visualisations research papers, books, blog posts, and other readings.
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<aside> 📄 Dataviz books everyone should read List of books compiled by Information is Beautiful and Data Visualization Society.
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<aside> 📔 The Visual Display of Quantitative Information The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 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.
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<aside> 📔 Visual Explanations: Images and Quantities, Evidence and Narrative Describes design strategies - the proper arrangement in space and time of images, words, and numbers - for presenting information about motion, process, mechanism, cause, and effect. Examines the logic of depicting quantitative evidence.
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