Day 2 — Tuesday, January 10th, 2023

Tuesday January 10th

1:30-2:00 Lecture: Intro to R Programming (including conditionals, control flow, etc.)
2:00-2:15 Activity: learnr Tutorial on Conditionals and Control Flow
2:15-2:45 Lecture: Data Dictionaries and Documentation
2:45-3:00 Activity: Q&A + Discussion
3:00-3:05 Break
3:05-3:35 Lecture: Reading in data of various formats
3:35-4:30 Lecture: Intro to ggplot2 (common types of figures, faceting, legends, patchwork, and saving figures)
4:30-4:50 Discussion: What are the ingredients to a ggplot? What makes an effective data visualization?
4:50-5:10 Demonstration of how to do the homework
5:10-5:30 Time to work on homework, chat with classmates, peruse recommended materials, engage in self-affirmation

Read in a dataset of your choice [we will give you some example datasets you can use] and create a few figures using ggplot2. We want to see students include titles, subtitles, captions, data sources, legends, etc.
- The figures should include one univariate figure, one bivariate figure, and one figure using facet_wrap or facet_grid
- If you’re feeling extra, have fun stylizing your plots! Go wild! Try to change up the background, fonts, etc.

Our learnr tutorial on Conditionals, Control Flow, and Logic in R
Smithsonian Data Management and Best Practices — Describing Your Data: Data Dictionaries
- https://library.si.edu/sites/default/files/tutorial/pdf/datadictionaries20180226.pdf
U.S. Geological Survey, Data Dictionaries
- https://www.usgs.gov/data-management/data-dictionaries
Skim the readr cheatsheet:
- https://raw.githubusercontent.com/rstudio/cheatsheets/main/data-import.pdf
- Keep in mind, your goal shouldn’t be to memorize everything, but rather to get a sense of what functionality is available to you, and how you could reference this cheatsheet or follow up on its contents to make use of it.
Fundamentals of Data Visualization, Chapter 2, Visualizing data: Mapping data onto aesthetics:
- https://clauswilke.com/dataviz/aesthetic-mapping.html
Fundamentals of Data Visualization, Chapter 17, The principle of proportional ink:
- https://clauswilke.com/dataviz/proportional-ink.html
[Video] Introduction to ggplot2 https://www.youtube.com/watch?v=UiuA5sBEcFk
[Video] BeginneR Workshop https://www.youtube.com/watch?v=7kuPnVZcot0 [lecture starts around 20:00]
- Check the video description for the code files
[Video] Intro to Git and GitHub https://www.youtube.com/watch?v=u4LIpYC0Yaw

Truly extra reading for those interested in advancing their conceptual understanding of ggplot2 and the possibilities in data visualization:

A Layered Grammar of Graphics, by Hadley Wickham http://vita.had.co.nz/papers/layered-grammar.pdf
Start to get familiar with the ggplot2 book. We recommend starting with subsection 1.2 “What is the grammar of graphics?” here: https://ggplot2-book.org/introduction.html#what-is-the-grammar-of-graphics
The R Graph Gallery: https://r-graph-gallery.com/index.html

What you can expect from the instructional team:

We will be reading your bios and working on sorting you into groups for the final presentation topics.