Author Archives: richardbrath

About richardbrath

Richard is a long time visualization designer and researcher. Professionally, I am one of the partners of Uncharted Software Inc. I am also pursuing a part-time PhD in data visualization at LSBU. The opinions on this blog are related to my personal interests in data visualization, particularly around research interests related to my PhD work- this blog is about exploratory aspects of data visualization not proven principles.

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

Posted in Alphanumeric Chart, Data Visualization | Leave a comment

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

Readability

Readability and what it means for data visualization Type can be legible, but still unreadable. Consider this image: Beautiful Helvetica, mirrored and rotated 180 degrees. Two highly common words from the English language. Letters are perfectly legible and even turn … Continue reading

Posted in Font Visualization, Legibility, Text Skimming, Text Visualization | 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

Papers, Rejections and Critiques

There have been a few recent blog posts after VisWeek about paper rejections such as Niklas’ Elmqvist’s Dealing with Rejection and Robert Kosara’s related Dealing with Paper Rejections. Rejections are certainly a painful part of the academic review process I’ve … Continue reading

Posted in Critique, Data Visualization, Design Space | Tagged | Leave a comment