Visual Representations II

Readings due before class on Monday, September 9, 2019

Required

• Chapter 3: Make a Plot and Chapter 4: Show the right numbers in Kieran Healy, Data VisualizationKieran Healy, Data Visualization: A Practical Introduction (Princeton: Princeton University Press, 2018), http://socviz.co/.
  
  

• Chapter 5: Directory of Visualization and Chapter 6: Visualizing Amounts in Claus Wilke, Fundamentals of Data VisualizationClaus E. Wilke, Fundamentals of Data Visualization (Sebastopol, California: O’Reilly Media, 2018), https://serialmentor.com/dataviz/.
  
  

• A Layered Grammar of Graphics by Hadley Wickham

Recommended

• Chapter 7: Exploratory data analysis in Garrett Grolemund and Hadley Wickham, R for Data ScienceHadley Wickham and Garrett Grolemund, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Sebastopol, California: O’Reilly Media, 2017), http://r4ds.had.co.nz/.
  
  

• Chapter 22: Image file formats in Claus Wilke, Fundamentals of Data VisualizationWilke, Fundamentals of Data Visualization.
  
  

• How do we know when a visualization is good? Perspectives from a cognitive scientist by Lace Padilla (Multiple Views Blog)

• Labelling dataviz by Mike Kearney.