Schedule
- Daniel Anderson
- Brendan Cullen
- Ouafaa Hmaddi
In addition to the course books linked below, I am currently working on course notes for all of the classes. This may eventually turn into a published book, but for now I’m just thinking of it as course notes. Please feel free to use these as a supplemental resource (in addition to the slides and lectures). Also, please let me know if you’d like to contribute! In particular, if you see typos or areas that are unclear, that feedback would be really helpful. You can fork the repo and submit a PR and be a contributor to the book!
Course Books
Each of the below links to the full book. Icons in the schedule link to specific chapters.
Happy git with R
R for Data Science
Data Visualization: A Practical Introduction
Fundamentals of Data Visualization
Other content not in the course books
R for Data Science
Data Visualization: A Practical Introduction
Fundamentals of Data Visualization
Other content not in the course books
Week 1
Topics
Slides
Assigned
Due
Reading
Lecture
01-04
Introduction
Weekly schedule and topics. Introductions. A little bit of git and GitHub.
01-06
Upping your git skills
We’ll focus the whole day on git, solidifying the skills you built in the first class while also introducing new topics: branching, stashing, pull requests, and managing projects with multiple team members while avoiding merge conflicts.
Week 2
Topics
Slides
Assigned
Due
Reading
Lecture
01-11
Intro to visualizations
We will spend most of the day looking at different types of visualizations, with a specific focus on continuous variables. We will explore how different choices with these visualizations can change your inferences.
Week 3
Topics
Slides
Assigned
Due
Reading
Lecture
Week 4
Topics
Slides
Assigned
Due
Reading
Lecture
01-25
Visual Perception
Aesthetic mappings and visual encodings of data. The data-ink ratio and the pitfall of rigid rules. Some general rule of thumb recommendations.
Week 5
Topics
Slides
Assigned
Due
Reading
Lecture
02-01
Color
Three primary means by which color can aid interpretation. Color blindness considerations and color palettes that work well. Common pitfalls with the use of color.
Week 6
Topics
Slides
Assigned
Due
Reading
Lecture
02-08
Communication
Refining your plots for communication. We’ll discuss annotating plots, aspect ratios, scales, and a bit on theming.
Week 7
Topics
Slides
Assigned
Due
Reading
Lecture
02-15
Dashboards: Guest Lecturer Akhila Nekkanti
Building (static) data dashboards with the {flexdashboard} package. We’ll discuss layouts, including multi-page layouts, storyboards, icons, and publishing through GitHub.
Week 8
Topics
Slides
Assigned
Due
Reading
Lecture
02-22
Tables and fonts
We will focus primarily on two packages for creating tables: {gt} for static tables, and {reactable} for interactive tables. We’ll also discuss changing fonts, both within websites/applications, as well as with {ggplot2}.
02-24
Websites
This lecture will focus on the {distill} package, which helps you createrelatively simple yet customizable blogs, optimized for scientific communication. In addition to setting up the site and creating posts, we’ll focus specifically on different layouts for displaying visual information (e.g., plots, tables)
Week 9
Topics
Slides
Assigned
Due
Reading
Lecture
03-01
Intro to Geographic data
Understanding the difference between vector and raster data, producing basic maps, getting data for producing different types of maps, and understandin the basics of the R geospatial ecosystem (which is consistently and rapidly evolving).
03-03
Customizing web pages
We’ll talk about customizations generally, introducing styling with CSS, but focus speifically on customizations to websites and dashboards.
Week 10
Topics
Slides
Assigned
Due
Reading
Lecture
03-08
Presentations
Half the class will present on their final project, with those who are selected being randomly chosen.
03-10
Presentations
All remaining students will present their final project.
Week 11
Topics
Slides
Assigned
Due
Reading
Lecture