Schedule

Published

February 20, 2025

Modified

February 11, 2025

January 13-17

Surveying the landscape

Tuesday, January 14

Course introduction

Thursday, January 16

The semiotics of data visualization

January 20-24

Who visualizes data and why

Tuesday, January 21

Visualization in government & business

Thursday, January 23

Visualization in art, sports, and journalism

January 27-31

Understanding figures

Tuesday, January 28

Making (sense of) data

Thursday, January 30

Figure types

February 3-7

Tuesday, February 04

Figure components

Thursday, February 06

Cancelled due to weather

February 10-14

Tuesday, February 11

From stimulus to sensation

Thursday, February 13

From sensation to perception

February 17-21

Tuesday, February 18

From cognition to understanding

Thursday, February 20

Designing efficient & understandable visualizations

February 24-28

Tuesday, February 25

Communicating uncertainty and risk

Thursday, February 27

Storytelling with data

March 3-7

Tuesday, March 04

Critiquing figures

Thursday, March 06

Exploring data

March 10-14 Spring Break

March 17-21

Introduction to R

Tuesday, March 18

Why R we doing this?

Thursday, March 20

NO CLASS

March 24-28

Exploring data with R

Tuesday, March 25

Gathering & cleaning data

Thursday, March 27

Making plots with ggplot2

March 31 - April 4

Introduction to Python

Tuesday, April 01

Thursday, April 03

April 7-11

Exploring data with Python

Tuesday, April 08

Thursday, April 10

April 14-18

Making plots with JavaScript

Tuesday, April 15

Thursday, April 17

April 21-25

Final Project Preparation

Tuesday, April 22

Thursday, April 24

April 28 - May 2

Final Project Presentations

Tuesday, April 29

  • Schedule: TBD1

Thursday, May 01

  • Schedule: TBD

May 5-9

Finals Week

Tuesday, May 05

References

Atlassian. (n.d.). Essential chart types for data visualization. Retrieved January 24, 2025, from https://www.atlassian.com/data/charts/essential-chart-types-for-data-visualization
Cairo, A. (2013). The functional art: An introduction to information graphics and visualization. Upper Saddle River, N: New Riders Publishing.
Channel, M. O. (2024). Every CHART types explained in 12 minutes. Youtube. Retrieved from https://www.youtube.com/watch?v=cuMwWvtNmJ0
Cleveland, W. S., & McGill, R. (1984). Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79, 531–554. https://doi.org/10.1080/01621459.1984.10478080
Discovery, J. S. (2024, January 4). Types of graphs. Retrieved January 24, 2025, from https://www.jmp.com/en_us/statistics-knowledge-portal/exploratory-data-analysis/types-of-graphs.html
Few, S. (2004). Show me the numbers: Designing tables and graphs to enlighten. Oakland, CA: Analytics Press.
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
Gelman, A., & Unwin, A. (2013). Infovis and statistical graphics: Different goals, different looks. Journal of Computational and Graphical Statistics: A Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 22, 2–28. https://doi.org/10.1080/10618600.2012.761137
Hammond, T. (2024, November 26). 20 types of charts and graphs for data visualization. Retrieved January 24, 2025, from https://www.thoughtspot.com/data-trends/data-visualization/types-of-charts-graphs
Knaflic, C. N. (2015). Storytelling with data. Hoboken, NJ: John Wiliey & Sons.
Ribecca, S. (n.d.). The data visualisation catalogue. Retrieved January 24, 2025, from https://datavizcatalogue.com/index.html
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
Tourangeau, R., Rips, L. J., & Rasinski, K. (2012). The Psychology of Survey Response. Cambridge, England: Cambridge University Press. https://doi.org/10.1017/cbo9780511819322
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
Wikipedia contributors. (2024, November 23). Statistical data type. Retrieved from https://en.wikipedia.org/wiki/Statistical_data_type
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

Footnotes

  1. To be determined↩︎