Course Schedule

The schedule below is a tentative outline of our plans for the semester.

For each class period, please start by reviewing the associated Learning Goals, review/finish the daily activity (turn in exercises for assignments by deadline), and watch/read the indicated optional videos/readings to supplement your understanding.


Week 1

Date Topic In Class:
Activity
After Class:
Checkpoint/Homework
Additional Resources
(Optional)
9/3 Introductions Activity 1 CP1 on Moodle Readings:
Tidy Data, by Wickham, Çetinkaya-Rundel, & Grolemund

Videos:
Setting up for success in the course, by Lisa Lendway
Introduction to RStudio, by Alicia Johnson
Check version of R and RStudio, by Lisa Lendway
RStudio tour, by Lisa Lendway
9/5 RStudio Workshop Activity 2 (qmd) CP2 on Moodle
HW1 (Exercises from today’s activity) Due 9/10
Readings:
Introduction to Quarto, by Wickham, Çetinkaya-Rundel, & Grolemund

Week 2

Date Topic In Class:
Activity
After Class:
Checkpoint/Homework
Additional Resources
(Optional)
9/10 Data Viz Activity 3 (qmd)

Set up NY Times Subscription (Free to you through Mac)
CP3 on Moodle
HW2 (qmd) Due 9/19
Readings:
Data visualization, by Wickham, Çetinkaya-Rundel, & Grolemund
Layered grammar of graphics, by Wickham, Çetinkaya-Rundel, & Grolemund
A grammar for graphics (Chp 3), by Baumer, Kaplan, and Horton
Aesthetic mapping (Chp 2), by Wilke
Visualizing distributions (Chp 7), by Wilke
Telling a Story (Chp 29), by Wilke

Videos:
Intro to ggplot , by Lisa Lendway
9/12 Bivariate Viz Activity 4 (qmd) CP4 on Moodle
HW2 (qmd) Due 9/19
Readings:
Visualizing amounts (Chp 6), by Wilke

Videos:
ggplot demo, Lisa Lendway
Common ggplot mistakes, Lisa Lendway

Week 3

Date Topic In Class:
Activity
After Class:
Checkpoint/Homework
Additional Resources
(Optional)
9/17 Multivariate Viz + Creativity Meet in Idea Lab in the Library!
Activity 5 (qmd)

Idea Lab Activity
CP5 on Moodle
HW3 Due 9/24
Readings:
Visualize This (Chp 7), by Yau

Videos:
More ggplot, Lisa Lendway
9/19 Spatial Viz Activity 6 (qmd) CP6 on Moodle
HW3 Due 9/24
Readings:
Visualize This (Chp 8), by Yau
Spatial data visualization (Chp 17, intro and 17.1), by Baumer et al. 

Videos:
Plotting data on a map with ggmap, Lisa Lendway
Glamour of graphics, Will Chase (slides here)