Data Visualisation Resources

We will be running a series of talks and discussions about data visualisation, including graphs and tables. This page will collate links and resources.

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Schedule

All sessions will be 16:00 to 17:00 via Zoom.

• 2022-02-23 Talk / discussion of “The Science of Visual Data Communication: What Works” (Franconeri et al., 2021).
• 2022-03-09 Talk / discussion of “Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media” (Lin & Thornton, 2021).
• Postponed Tutorial “Riding tables with {gt} and {gtExtras}” (Nowak, 2021)
• Postponed Talk on Data visualisation of high dimensional data.

Resources

• Data visualisation using R, for researchers who don’t use R (Nordmann et al., 2021).
• The Science of Visual Data Communication: What Works (Franconeri et al., 2021).
• Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media (Lin & Thornton, 2021).
• Riding tables with {gt} and {gtExtras} (Nowak, 2021).
• Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm (Weissgerber et al., 2015).
• Two graphs walk into a bar: Readout-based measurement reveals the Bar-Tip Limit error… (Kerns & Wilmer, 2021).
• Data Vizualization: A Practical Introduction (Healy, 2018)
• RStudio Tables Gallery

R-specific resources

• The R Graph Gallery
• Top 50 ggplot2 Visualizations
• Graphs in Cookbook for R
• R Graphics Cookbook by Winston Chang
• ggplot extensions
• plotly for creating interactive graphs
• Drawing Beautiful Maps Programmatically