Data Visualization

Companion website for the MSP Data Visualization course offered in Fall 2022 Mini 1 and taught by Professor Ron Yurko.

Lectures

Lecture slides are available below in html format, and the .Rmd files are linked from GitHub.

Lecture	Topic	html	Rmd
1	Introduction and the Grammar of Graphics
2	1D Categorical Data
3	2D Categorical Data
4	1D Quantitative Data
5	Density Estimation
6	2D Quantitative Data
7	2D Quant and Intro to High Dimensional Data
8	High Dimensional Data
9	t-SNE and Shiny
10	Visualizing Spatial Data and Maps
11	Visualizing Text Data
12	Trends and Animations
13	Extras with htmlwidgets and Dashboards

Additional R demos are available below in html format.

Demo	Topic	html	Rmd
0	Installing R and RStudio
1	Into the tidyverse
2	Scatterplots and regression
3	Pairs plots, correlograms, and parallel coordinates
4	Multi-Dimensional Scaling
5	Principal Component Analysis
6	Introduction to t-SNE and UMAP
7	Visualizing Spatial Point Data
8	Visualizing Areal Data
9	Visualizing Text Data
10	Visualizing Trends
11	Animations
12	Modifying Colors and Themes
13	Example Dashboard

R for Data Science: https://r4ds.had.co.nz/
Fundamentals of Data Visualization: https://clauswilke.com/dataviz/index.html
Data Visualization: A Practical Introduction: https://socviz.co/index.html#preface
ggplot2: Elegant Graphics for Data Analysis: https://ggplot2-book.org/
Mastering Shiny: https://mastering-shiny.org/index.html
The best resource for working with git and GitHub in R / RStudio: https://happygitwithr.com/

This course website is made with the distill package. Thanks to Meghan Hall, Alison Hill, and Shamindra Shrotriya for their incredible examples and tutorials that helped in the process of making this site.