Outline
Data Visualization and Exploration (STAT 4413/5413, Spring 2026)
Important dates
- Jan. 19 Last day to enroll or add fall 16-week classes
- Jan. 23 Last day to drop fall 16-week classes without a grade
- Apr. 10 Last day to withdraw from fall 16-week classes
Overview
A typical class day should feature a mix of introductory remarks, individual, pair, or small group activities, programming, and discussion, with at least one short break.
This calendar will be maintained and specific activities (assignments and dates) will be added as we go.
Annotation
The links below are organized as follows,
- “slides” links to class slides (web format only)
- “data” links to relevant data
- “notes” links to a zip file containg code, data, and a “launch” file
## Class notes
It is probably a good idea to download the weekly notes within a few days of class (when they are posted). Then,
- unzip the file
- double-click
notesWXYZ.RProjwhich will launch a new RStudio session and properly set your working directory - within RStudio you can open
.Ror.qmdscripts which should have access to the provided data
Tentative outline
| Week | Date | Topic | Slides, Links, References |
|---|---|---|---|
| 1 | 1/13 | Introduction, Principles, Examples (good and bad) | slides, data (cards) |
| 2 | 1/20 | Base R (scatter and line plots, mostly) | slides, data (milestones), work (hwk1) |
| 3 | 1/27 | Snow Day | |
| 4 | 2/3 | Historical reflection and human perception | slides, data (cards), data (cards2), notes |
| 5 | 2/10 | Critique and some data-wrangling | slides, data (grade), notes |
| 6 | 2/17 | Distributions | slides |
| 7 | 2/24 | Scales | slides |
| 8 | 3/3 | ggplot (intro) | slides, data (mouse), data (noro), |
| 9 | 3/10 | alt text and review | slides |
| 10 | 3/17 | Spring Break | |
| 11 | 3/24 | Miscellany | slides, nvidia, nvidia (csv) |
| 12 | 3/31 | Podcast discussion, maybe Dashboards | discussion prompts, slides, dashboard (zip) |
| 13 | 4/7 | Graph-a-thon, dashboards (II), maps | slides, drinks (csv) |
| 14 | 4/14 | Project talk, Questions and answers | slides |
| 15 | 4/21 | From messy data to clean graph | slides, data |
| 16 | 4/28 | Part A: Special Topics/Discussion | slides, data |
| Part B: Guest Lecture Data inspired Art Ele Willoughby | |||
| Final | 5/5 (5:30-7:20 pm) |
