Cheat Sheets for Data Visualization Techniques

Zezhong Wang, Lovisa Sundin, Dave Murray-Rust, Benjamin Bach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces the concept of ‘cheat sheets’ for data
visualization techniques, a set of concise graphical explanations and textual annotations inspired by infographics, data comics, and cheat sheets in other domains. Cheat sheets aim to address the increasing need for accessible material that supports a wide audience in understanding data visualization techniques, their use, their fallacies and so forth. We have carried out an iterative design process with practitioners, teachers and students of data science and visualization, resulting six types of cheat sheet (anatomy, construction, visual patterns, pitfalls, false-friends and well-known relatives) for six types of visualization, and
format for presentation. We assess these with a qualitative user study using 11 participants that demonstrates the readability and usefulness of our cheat sheets.
Original languageEnglish
Title of host publicationCHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherACM
Number of pages13
ISBN (Electronic)9781450367080
DOIs
Publication statusPublished - 21 Apr 2020
EventACM CHI Conference on Human Factors in Computing Systems - Hawaiʻi Convention Center on the island of Oahu, Honolulu, United States
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org/

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2020
CountryUnited States
CityHonolulu
Period25/04/2030/04/20
Internet address

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