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The best way to get better at creating good visualizations is to critique those that came before you. You shouldn't consider this to be an exercise in being negative. As the statistician George Box said, "All models are wrong, but some models are useful!" Thus, it should be no surprise that the visualizations of these models might highlight some things and obscure others. Knowing where things break is an important part of being a good designer!
We'll practice looking at data visualizations in class, but you'll find additional resources on this page, which includes examples from non-educational sources.
George Box
A (very) few videos on how to read charts
A (very) few videos on how to read charts
How to Read a Wright Map (Item Response Theory): https://www.youtube.com/watch?v=r7rHXp_thfY
Vox's How to read a cornovirus log/linear chart: https://www.vox.com/videos/2020/4/28/21238769/coronavirus-covid19-chart-data-misleading
Websites that Aggregate Good & Bad Data Visualizations
Websites that Aggregate Good & Bad Data Visualizations
DataIsBeautiful: This subreddit features user-generated content showcasing beautiful, informative, and interesting data visualizations.
Information is Beautiful: This website, created by David McCandless, features a collection of beautiful and insightful data visualizations covering a wide range of topics.
Storytelling with Data: This website features examples of data visualizations, infographics, and data journalism from around the web.
Visual Capitalist: This website features data visualizations that are designed to be informative and engaging, covering a wide range of topics from business and economics to technology and science.
The Pudding: This website features data-driven, visually compelling stories and interactive visualizations on a variety of topics, from culture and politics to science and sports.
Junk Charts: A website that aggregates and analyzes bad data visulaizations.
Tableau Viz of the Day: Tableau Public is a free data visualization tool, and the gallery features a wide variety of interactive data visualizations created by Tableau users.
The New York Times Graphics: Graphics from data visualizations regularly published as part of the NYT's news coverage. See also:
FiveThirtyEight: This website, which focuses on data-driven journalism, features a range of data visualizations and interactive features on topics such as politics, sports, and science.
Visual.ly: This website features examples of data visualizations created by professional designers and data scientists, covering a wide range of topics and industries.
Kantar Information is Beautiful Awards: This website features the winners of the annual Kantar Information is Beautiful Awards, showcasing some of the best examples of data visualization from around the world.
Observable: This website features a collection of interactive data visualizations created by data scientists and developers, allowing users to explore and manipulate data in real-time.
Nathan Yau's FlowingData: Nathan Yau's personal website features a collection of data visualizations covering a variety of topics, as well as tutorials and resources for creating your own visualizations.
Hamilton Project, Brookings Institute: https://www.hamiltonproject.org/charts/
Visualizing Data: This website, created by data visualization expert Andy Kirk, features examples of data visualizations, as well as resources and tutorials for creating your own.
The Guardian Data Blog: The Guardian newspaper's data blog features a range of data visualizations covering politics, economics, and social issues.
Reddit DataIsUgly: This subreddit features examples of poorly designed or misleading data visualizations, providing a cautionary tale of what to avoid when creating your own visualizations.
Dear Data: This project by designers Giorgia Lupi and Stefanie Posavec features a collection of hand-drawn data visualizations created by the two designers over the course of a year, showcasing the creative potential of data visualization.
Datawrapper Gallery: This gallery features examples of data visualizations created using the Datawrapper tool, allowing users to see the range of charts and graphs that can be created using the platform.
Syntech's Bad Data Visualizations: This website features examples of data visualizations created by professional designers and agencies, as well as resources and tutorials for creating your own visualizations.
Reddit MapPorn: This subreddit features examples of maps and cartograms, showcasing the potential of visualizing data geographically.
Instinct Tools: This consulting company provides a short list of examples of poorly constructed charts that might be useful.
How Charts Lie: All graphics from the book are available in a dropbox link that can be found here: http://www.thefunctionalart.com/2020/01/all-graphics-from-how-charts-lie-freely.html
The 74's Reporting on Police vs. Guidance Counselor Positions in US Schools: Examine charts and watch video
The Conversations' 3 Questions to ask yourself next time you see a graph, chart or map: https://theconversation.com/3-questions-to-ask-yourself-next-time-you-see-a-graph-chart-or-map-141348?fbclid=IwAR2j7Y8PhygLW-5eyGAyc2FlKnXpOyxkfSfEH5jX6JLeYEKmxfmrxZsx-Bg
Data To Vis Guidelines for Repairing Poorly Displayed Data: https://www.data-to-viz.com/caveats.html
ACM QUEUE: A Tour through the Visualization Zoo: https://dl.acm.org/doi/pdf/10.1145/1794514.1805128
Data to Vis Interactive Guidelines for Picking a Visualization Type: https://www.data-to-viz.com/
A nice visualization on visualizations: https://aeon.co/videos/mapping-data-visualisations-meteoric-rise-from-victorian-london-to-today
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