INFO 526: Data Analysis & Visualization

Dr. Greg Chism

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.

Week	Date		Topic	Prepare	Due
1	Mon, Aug 21	Lec 0	Welcome + Grammar of graphics
	Wed, Aug 23	Lec 1	Introduction to ggplot2	📚 ggplot2-book - Chp 13 📚 socviz
2	Mon, Aug 28	Lec 2	Deep dive into ggplot2 layers I	📚 ggplot2-book - Chp 14 📚 ggplot2-book - Chp 15
	Wed, Aug 30	Lec 3	Deep dive into ggplot2 layers II	📚 ggplot2-book - Chp 16 📚 ggplot2-book - Chp 17
	Fri, Sep 1				✅ RQ 1
3	Mon, Sep 4	No Class	Labor Day
	Wed, Sep 6	Lec 4	Data wrangling I	📚 R4DS - Chp 6
4	Mon, Sep 11	Lec 5	Data wrangling II	📚 R4DS - Chp 19	📝 HW 1
	Wed, Sep 13	Lec 6	Visualizing densities I	📚 ggplot2-book - Chp 5	✅ RQ 2
5	Mon, Sep 18	Lec 7	Visualizing densities II	📚 ISLR - Chp 13.1 - 13.4
	Wed, Sep 20	Lec	Project 1 Peer review		📑 Project 1 proposals for peer review
6	Mon, Sep 25	Lec 8	Data wrangling III	📚 R4DS - Chp 20	📑 Project 1 proposals for instructor review
	Wed, Sep 27	Lec 9	Visualizing time series data I	📚 fdv - Chp 13	✅ RQ 3
7	Mon, Oct 2	Lec 10	Visualizing time series data II	📚 fdv - Chp 14	📝 HW 2
	Wed, Oct 4	Lec 11	Themes + Axes + Annotation	🎥 Reporting and visualising the pandemic by John Burn-Murdoch 🎥 Always look on the bright side of plots by Kara Woo
8	Mon, Oct 9	Lec 12	Presentation ready plots	📚 fdv - Chp 29
	Wed, Oct 11	Lec 13	Visualizing Uncertainty	📚 fdv - Chp 16 Uncertainty Visualization
9	Mon, Oct 16		Project 1 presentations I		📑 Project 1
	Wed, Oct 18	Lec 14	Project 2 preview Du Bois visualizations	📃 Six part series on W.E.B. Du Bois’ legacy	📑 Project 2
10	Mon, Oct 23	Lec 15	Data visualization accessibility	📃 The Right Tools for the Job by Frank Elavsky 📃 Writing Alt Text to Communicate the Meaning in Data Visualizations by Elizabeth Hare	✅ RQ 4
	Wed, Oct 25	Lec 16	Visualizing Likert data I	📚 fdv - Chp 10 📚 fdv - Chp 11 “📃 The case against diverging stacked bars 📃 On Likert Scales In R”
	Fri, Oct 27				📝 HW 3
11	Mon, Oct 30	Lec 17	Visualizing geospatial data I	📚 fdv - Chp 15
	Wed, Nov 1	Lec 18	Visualizing geospatial data II	📃 sf vgnette 1 + 📃 sf vgnette 2 + 📃 sf vgnette 3 + 📃 sf vgnette 4 + 📃 sf vgnette 5
12	Mon, Nov 6	Lec 19	Visualizing geospatial data III	📃 sf vgnette 1 + 📃 sf vgnette 2 + 📃 sf vgnette 3 + 📃 sf vgnette 4 + 📃 sf vgnette 5
	Wed, Nov 8	Lec	Project 2 proposal peer review		📑 Project 2 proposals for peer review
	Fri, Nov 10				📝 HW 4
13	Mon, Nov 13	Lec 20	Colors	📚 fdv - Chp 19 📚 fdv - Chp 4	📑 Project 2 proposals for instructor review
	Wed, Nov 15	Lec 21	Tables	📃 Jon Schwabish - Ten Guidelines for Better Tables 📃 Tom Mock - 10+ Guidelines for Better Tables in R	✅ RQ 5
14	Mon, Nov 20	No lecture	Happy Thanksgiving! 🦃
	Wed, Nov 22	No lecture	Happy Thanksgiving! 🦃
15	Mon, Nov 27	Lec 23	Animation	📃 gganimate vignette	📝 HW 5
	Wed, Nov 29	Lec 24	Interactive visualizations + reporting with Shiny I	📚 ms - Chp 1 📚 ms - Chp 2
16	Mon, Dec 4	Lec 25	Interactive visualizations + reporting with Shiny II	📚 ms - Chp 3 📚 ms - Chp 7
	Wed, Dec 6	Lec 26	Generative art Project 2 presentations		✅ RQ 6 📝 HW 6
	Tue, Dec 12	Final	Project 2 presentations @ 3:30pm		📑 Project 2