DataCommSlides

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.

Principles of Data Communication

Lecture 1: Data Commmunication

Lecture 2: Clutter and Focus

Lecture 3: Audience

R, Workflow, and Data Wrangling

Lecture 4: R and RMarkdown

Common R Problems

Lecture 5 and Lecture 6: Data Wrangling

Exploratory Data Analysis

Lecture 7: Exploratory Data Analysis

Data Visualization in R/ggplot2

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)