Category Archives: Data Visualization

Lost Works of Jacques Bertin on Typography

Strangely, out of 450 pages+ in Bertin’s Sémiologie Graphique translated into English only 4 pages about typography were not translated. Continue reading

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Posted in Alphanumeric Chart, Data Visualization, Font Visualization, Text Visualization | Tagged , | Leave a comment

Patent Visualization and Litigation Ratios

Earlier this week, Scott Langevin and I were fortunate to speak at the Strata Big Data Conference in NYC. The topic was Text Analytics and New Visualization Techniques. It discussed some of the examples on this blog and my research; and additionally … Continue reading

Posted in Data Visualization, Font Visualization, Graph Visualization | Tagged | Leave a comment

Variable Fonts vs. Parametric Fonts and Data Visualization

I’ve typically been using ready-made fonts to create font-based visualizations in this blog. However, sticking to ready-made fonts means that you get only one slope angle for italic, a few levels of weight, maybe a condensed version or maybe not. … Continue reading

Posted in Data Visualization, Font Visualization, parametric fonts, Text Skimming, Text Visualization, Variable Fonts | Tagged , | Leave a comment

The Origin of Thematic Maps — and the problem with base maps

Why is there such a big gap between thematic maps and label maps? Both types of maps show data about places. Thematic maps typically use lots of color to show data about places; whereas label maps use a lot of … Continue reading

Posted in Choropleth, Data Visualization, Font Visualization, Thematic Map | Leave a comment

Top NY Picks: Me vs. Reviews

I have a few upcoming speaking appearances, including the International Cartography Conference (DC July 6); Information Visualization 2017 (London July 13) and Strata Data Conference (NYC Sept 26-28). Since NYC is a city I often visit, I thought I’d make … Continue reading

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50 categoric colors, inspired by telephone wires

Using colors to represent different categories of data is challenging to scale past ten unique colors. Many authors and researchers recommend against it. Colobrewer2 doesn’t go past 12 unique colors. D3.js offers three variants of color scales with 20 unique colors. … Continue reading

Posted in Data Visualization, Line Chart | Tagged | Leave a comment

The 19 Dimensional Word Cloud of Pokémon

If you want to catch all 719 Pokémon, the serious gamer needs to know their different skills and abilities. At a high-level, Pokémon classify into 18 different types, such as fire, water or grass. For example, Pikachu is an electric type, Charmander … Continue reading

Posted in Data Visualization, Pokemon, Text Visualization | Leave a comment