Slides for Seattle University Course on Data Communications

The recommended book for this course is Kieran Healy's Data Visualization

NOTE: Some Tableau data files are not included in the repo since they are too large.

Also, check out the accompanying video series for the class. As of now, these videos have not been updated for the newest version of the class, and instead follow along with the old version.

Lecture 1: Data Commmunication

Lecture 2: Clutter and Focus

Lecture 3: Audience

Lecture 4: R and RMarkdown

Common R Problems

Lecture 5 and Lecture 6: Data Wrangling

Lecture 7: Exploratory Data Analysis

Lecture 8: Basics of ggplot2

Lecture 9: Structuring ggplot2

Lecture 10: Styling ggplot2

Lecture 11: Bob Ross Day (this one may not translate to a non-classroom scenario; the idea here is that we create these graphs together one step at a time, building them up from scratch and showing the process)

Lecture 12: Story and Geometry

Lecture 13: Communicating Statistics and Uncertainty

Lecture 14: Dashboards in R

Lecture 15: Interactivity

Example Shiny Dashboard

Lecture 16: Introduction to Tableau

Lecture 17: More Tableau

Lecture 18: Dashboards in Tableau