Schedule
January 13-17
Surveying the landscape
Tuesday, January 14
Course introduction
- Slides
- Exercise 01 assigned
Thursday, January 16
The semiotics of data visualization
- Read: Cairo (2013), Chapter 1-2, PDF on Canvas
- Slides
January 20-24
Who visualizes data and why
Tuesday, January 21
Visualization in government & business
- Slides
- Results from Exercise 01
Thursday, January 23
Visualization in art, sports, and journalism
- Slides
- Exercise 02 assigned
- Exercise 01 due
January 27-31
Understanding figures
Tuesday, January 28
Making (sense of) data
Thursday, January 30
Figure types
- Exercise-03 assigned
- Exercise 02 due
February 3-7
From perception to cognition
Tuesday, February 04
From stimulus to sensation
- Read: Cairo (2013), Chapter 5, PDF on Canvas
Thursday, February 06
From sensation to perception
- Read: Cairo (2013), Chapter 6, PDF on Canvas
- Exercise-03 due
February 10-14
From cognition to understanding
Tuesday, February 11
- Read:
- Franconeri, Padilla, Shah, Zacks, & Hullman (2021), pp. 109-122
- Cairo (2013), Chapter 7, PDF on Canvas
- Final Project proposal assigned
Thursday, February 13
Designing efficient & understandable visualizations
- Read:
- Franconeri et al. (2021), pp. 123-139
- Exercise-04 assigned
February 17-21
Storytelling with data
Tuesday, February 18
Communicating uncertainty and risk
- Read: Franconeri et al. (2021), pp. 139-150
Thursday, February 20
Storytelling with data
- Read: Knaflic (2015), pp. ix-33, PDF on Canvas
- Read: Knaflic (2015), pp. 33-69, PDF on Canvas
- Skim: Woodside, Sood, & Miller (2008)
- Final Project proposal assigned
February 24-28
Critiquing figures
Tuesday, February 25
- Read:
- Tufte (2001), Chapter 1, PDF on Canvas
Thursday, February 27
- Read: Tufte (2001), Chapter 2, PDF on Canvas
March 3-7
Exploring data
Tuesday, March 04
- Read: Tukey (1977), Chapter 1, PDF on Canvas
- Final Project proposal due
Thursday, March 06
- Exercise-04 due
- Exercise-05 assigned
March 10-14 Spring Break
March 17-21
Introduction to R
Tuesday, March 18
Why R we doing this?
Thursday, March 20
NO CLASS
- Exercise-05 due
March 24-28
Exploring data with R
Tuesday, March 25
Gathering & cleaning data
Thursday, March 27
Making plots with ggplot2
- Exercise-06 assigned
March 31 - April 4
Introduction to Python
Tuesday, April 01
- Final project preferences survey assigned
Thursday, April 03
- Exercise-06 due
April 7-11
Exploring data with Python
Tuesday, April 08
- Final project preferences survey due
Thursday, April 10
- Exercise-07 assigned
April 14-18
Making plots with JavaScript
Tuesday, April 15
Thursday, April 17
- Exercise-07 due
April 21-25
Final Project Preparation
Tuesday, April 22
Thursday, April 24
April 28 - May 2
Final Project Presentations
Tuesday, April 29
Thursday, May 01
May 5-9
Finals Week
Tuesday, May 05
- Final project write-up due
References
Cairo, A. (2013). The functional art: An introduction to information graphics and visualization. Upper Saddle River, N: New Riders Publishing.
Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest: A Journal of the American Psychological Society, 22(3), 110–161. https://doi.org/10.1177/15291006211051956
Knaflic, C. N. (2015). Storytelling with data. Hoboken, NJ: John Wiliey & Sons.
Stevens, S. S. (1946). On the theory of scales of measurement. Science (New York, N.Y.), 103, 677–680. https://doi.org/10.1126/science.103.2684.677
Tufte, E. R. (2001). The visual display of quantitative information. Graphics Pr.
Tukey, J. W. (1977). Exploratory data analysis. Upper Saddle River, NJ: Pearson. Retrieved from https://www.amazon.com/Exploratory-Data-Analysis-John-Tukey/dp/0201076160
Woodside, A. G., Sood, S., & Miller, K. E. (2008). When consumers and brands talk: Storytelling theory and research in psychology and marketing. Psychology & Marketing, 25, 97–145. https://doi.org/10.1002/mar.20203