Data Visualization with R
  • Syllabus
  • Schedule
  • Content
  • Lessons
  • Examples
  • Assignments
  • Resources
  • News

Schedule

Here’s your roadmap for the semester!

  • Content (): This page contains the readings, slides, and recorded lectures for the topic. Read and watch these first.

  • Lesson (): This page contains an interactive lesson that teaches you the principles and code you need to know. Go through these after doing the content.

  • Example (): This page contains fully annotated R code that you can use as a reference for creating your own visualizations. This is only a reference page—you don’t have to necessarily do anything here. Each section also contains videos of me live coding the examples so you can see what it looks like to work with R in real time. This page will be very helpful as you work on your assignments.

  • Assignment (): This page contains the instructions for either the session exercise (1–3 brief tasks), or for the two mini projects and final project. Assignments are due by 11:59 PM on the Monday after their corresponding sessions. That’s confusing in sentence form—see the schedule table below to see how it works.

tl;dr: You should follow this general process for each session:

  • Do everything on the content page ()
  • Work through the lesson page ()
  • Complete the assignment () while referencing the example ()

Subscribe!

You can subscribe to this calendar URL in Outlook, Google Calendar, or Apple Calendar:

Download

Foundations

Title Content Lesson Example Assignment
August 21–August 25
(Session 1)
Truth, beauty, and data + R and tidyverse
August 28 Assignment for session 1 due  (submit by 11:59 PM)
August 28–September 1
(Session 2)
Graphic design
September 4 Assignment for session 2 due  (submit by 11:59 PM)
September 4–September 8
(Session 3)
Mapping data to graphics

Core types of graphics

Title Content Lesson Example Assignment
September 11 Assignment for session 3 due  (submit by 11:59 PM)
September 11–September 15
(Session 4)
Amounts and proportions
September 18 Assignment for session 4 due  (submit by 11:59 PM)
September 18–September 22
(Session 5)
Themes
September 25 Assignment for session 5 due  (submit by 11:59 PM)
September 25–September 29
(Session 6)
Uncertainty
October 2 Assignment for session 6 due  (submit by 11:59 PM)
October 2–October 6
(Session 7)
Relationships
October 9 Assignment for session 7 due  (submit by 11:59 PM)
October 9–October 13
(Session 8)
Comparisons
October 16 Assignment for session 8 due  (submit by 11:59 PM)
October 16  Mini project 1 due  (submit by 11:59 PM)

Special applications

Title Content Lesson Example Assignment
October 16–October 20
(Session 9)
Annotations
October 23 Assignment for session 9 due  (submit by 11:59 PM)
October 23–October 27
(Session 10)
Interactivity
October 30 Assignment for session 10 due  (submit by 11:59 PM)
October 30–November 3
(Session 11)
Time
November 6 Assignment for session 11 due  (submit by 11:59 PM)
November 6–November 10
(Session 12)
Space
November 13 Assignment for session 12 due  (submit by 11:59 PM)
November 13  Mini project 2 due  (submit by 11:59 PM)
November 13–November 17
(Session 13)
Text
November 27 Assignment for session 13 due  (submit by 11:59 PM)
November 27–December 1
(Session 14)
Enhancing graphics
December 4 Assignment for session 14 due  (submit by 11:59 PM)

Conclusions

Title Content Lesson Example Assignment
December 4–December 4
(Session 15)
Truth, beauty, and data revisited
December 5 Assignment for session 15 due  (submit by 11:59 PM)
December 11  Final project due  (submit by 11:59 PM)

Content 2023 by Andrew Heiss
All content licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0)

 
  • Edit this page
  • Report an issue

Made with and Quarto
View the source at GitHub