Truth, beauty, and data + R and tidyverse
Content for Monday, August 26, 2024–Friday, August 30, 2024
Readings
- The syllabus, content, lessons, examples, and assignments pages for this class
- AI, LLMs, and BS
- (Hicks, Humphries, and Slater 2024)
- Tim Harford, “Florence Nightingale: Data Viz Pioneer,” 99% Invisible, episode 433, March 2, 2021 (this is a podcast; listen to it in your browser or use an app like Overcast or Spotify)
- Chapter 1 in Data Visualization (Healy 2018)
- Chapters 2 and 3 in The Truthful Art (Cairo 2016) (skim the introduction and chapter 1)
- Study: Charts change hearts and minds better than words do
Possible questions to reflect on
Remember, you don’t need to answer all of these—or even any of them! These are just here to help guide your thinking. All that matters is that you show good engagement with the readings.
- How do we know what is true?
- Are facts truth?
- Why do we visualize data?
- What makes a great visualization?
- How do you choose which kind of visualization to use?
Slides
The slides for this week’s lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys.
Fun fact: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands.
Videos
Videos for each section of the lecture are available at this YouTube playlist.
- Introduction
- Facts, truth, and beauty
- Data, truth, and beauty
- Beautiful visualizations
- Class details
You can also watch the playlist (and skip around to different sections) here: