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	Wed, Jan 10	Lec 0	Welcome + Introducing your Toolkit	📚 socviz - Chp 1 🎥 Getting Started with Quarto 🎥 Git + GitHub in RStudio
2	Mon, Jan 15	No class	MLK Jr Holiday
	Wed, Jan 17	Lec 1	Deep dive into ggplot2 layers I	📚 ggplot2-book - Chp 13 📚 ggplot2-book - Chp 14 📚 ggplot2-book - Chp 15
3	Mon, Jan 22	Lec 2	Deep dive into ggplot2 layers II	📚 ggplot2-book - Chp 16 📚 ggplot2-book - Chp 17
	Wed, Jan 24	Lec 3	Data wrangling I	📚 R4DS - Chp 6
	Fri, Jan 26				✅ RQ 1
4	Mon, Jan 29	Lec 4	Data wrangling II	📚 R4DS - Chp 19	📝 HW 1
	Wed, Jan 31	Lec 5	Visualizing densities I	📚 ggplot2-book - Chp 5
5	Mon, Feb 5	Lec 6	Visualizing densities II	📚 ISLR - Chp 13.1 - 13.4	✅ RQ 2
	Wed, Feb 7	Peer review	Project I Peer Review		📑 Project 1 proposals for peer review
6	Mon, Feb 12	Lec 7	Data wrangling III	📚 R4DS - Chp 20	📑 Project 1 proposals for instructor review
	Wed, Feb 14	Lec 8	Visualizing time series data I	📚 fdv - Chp 13	📝 HW 2
7	Mon, Feb 19	Lec 9	Visualizing time series data II	📚 fdv - Chp 14	✅ RQ 3
	Wed, Feb 21	Lec 10	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, Feb 26	Lec 11	Presentation ready plots	📚 fdv - Chp 29
	Wed, Feb 28	Lec 12	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 📚 fdv - Chp 19 📚 fdv - Chp 4
9	Mon, Mar 4	No class	Spring Break ☀️
	Wed, Mar 6	No class	Spring Break ☀️
10	Mon, Mar 11	Midterm	Project 1 presentations		📑 Project 1
	Wed, Mar 13	Lec 13	Du Bois visualizations Final Project Preview	📃 Six part series on W.E.B. Du Bois’ legacy	📝 HW 3
11	Mon, Mar 18	Lec 14	Visualizing Uncertainty	📚 fdv - Chp 16 📃 Uncertainty Visualization
	Wed, Mar 20	Lec 15	Visualizing Likert data	📚 fdv - Chp 10 📚 fdv - Chp 11 📃 The case against diverging stacked bars 📃 On Likert Scales In R
	Fri, Mar 22				✅ RQ 4
12	Mon, Mar 25	Lec 16	Visualizing geospatial data I	📚 fdv - Chp 15
	Wed, Mar 27	Lec 17	Visualizing geospatial data II	📃 sf vgnette 1 + 📃 sf vgnette 2 + 📃 sf vgnette 3 + 📃 sf vgnette 4 + 📃 sf vgnette 5
13	Mon, Apr 1	Lec 18	Visualizing geospatial data III
	Wed, Apr 3	Peer Review	Project 2 proposal peer review		📑 Project 2 proposals for peer review 📝 HW 4
	Fri, Apr 5
14	Mon, Apr 8	Lec 19	Tables	📃 Jon Schwabish - Ten Guidelines for Better Tables 📃 Tom Mock - 10+ Guidelines for Better Tables in R	📑 Project 2 proposals for instructor review
	Wed, Apr 10	Lec 20	Visualizing Networks Lecturer: Laura Dozal	📚 ggplot2-book - Chp 7 📃 R Gallery Book	✅ RQ 5
15	Mon, Apr 15	Lec 21	Animation	📃 gganimate vignette
	Wed, Apr 17	Lec 22	Interactive visualizations + reporting with Shiny I	📚 ms - Chp 1 📚 ms - Chp 2	📝 HW 5
16	Mon, Apr 22	Lec 23	Interactive visualizations + reporting with Shiny II	📚 ms - Chp 3 📚 ms - Chp 7
	Wed, Apr 24	Lec 24	Dashboards I	📃 What is a Dashboard 📃 What makes a great Dashboard 📃 Dashboard Design Process 📃 Quarto Dashboards	✅ RQ 6
17	Mon, Apr 29	Lec 25	Dashboards II	📈 Labor + Delivery Dashboard	📝 HW 6
	Wed, May 1	Lec 26	Generative art
Finals	Mon, May 6	Final	Project 2 presentations @ 10:30am		📑 Project 2