Welcome
The workshop has three sessions focusing on different aspects of storytelling with data.
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Session 1 Limitations of common graph types |
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Session 2 Expanding your graphical reprtoire |
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Session 3 Critical thinking about visual information |
Blogs to browse
The Functional Art,
Alberto Cairo
Evergreen Data,
Stephanie Evergreen
Visual Business
Intelligence, Stephen Few
Storytelling with
Data, Cole Nussbaumer Knaflic and team
MIDFIELD Institute
Slides and handouts for the 2022 MIDFIELD Institute derived from the
Data Stories Workshop materials.
[slides] Graph
limitations
Acknowledgments
R package authors
data.table
Fast aggregation of large data, Matt Dowle and Arun Srinivasan
ggplot2
Elegant data visualizations using the grammar of graphics, Hadley
Wickham, Winston Chang, et al.
distill,
Scientific and technical article format for the web, JJ Allaire, Rich
Iannone, et al.
xaringan
Create HTML5 slides with R Markdown, Yihui Xie
Cairo, Alberto. 2019. How Charts Lie. New York:
W.W. Norton.
Cleveland, William S. 1993. Visualizing Data.
Summit, NJ: Hobart Press.
Doumont, Jean-luc. 2009. Trees, Maps, and
Theorems. Belgium: Principiae.
Kostelnick, Charles, and Michael Hassett. 2003. Shaping
Information. Carbondale, IL: Southern Illinois
university Press.
Robbins, Naomi. 2013. Creating More Effective
Graphs. Wayne, NJ: Chart House.
Tufte, Edward. 1983. The Visual Display of
Quantitative Information. Cheshire, CT: Graphics
Press.
———. 1997. Visual Explanations. Cheshire, CT:
Graphics Press.
Wainer, Howard. 1997. Visual Revelations. Mahwah,
NJ: Lawrence Erlbaum Assoc.
———. 2014. Medical Illuminations. UK: Oxford
Univ. Press.