Skip to content

Data Science and Visualization in R course materials

Notifications You must be signed in to change notification settings

JeffreyRStevens/dsvr2021

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Data Science and Visualization in R

DSVR 2021 hex sticker

Update: 2022-01-29

This is the repository for PSYC 492/971 Data Science and Visualization in R. In it, you will find:

To copy this repo to you computer, use the command line to get to the directory where you want the repo and type:

git clone https://github.com/JeffreyRStevens/dsvr2021.git

If you have questions or thoughts that you want to pose to the class, post them in the repo’s Discussions. Also, check out the Discussions to answer other people’s questions.

If you find any bugs (malfunctioning code), typos (mistakes in content), or difficult/confusing content or want to request a feature, please submit an issue.

Schedule

Lesson Topic Readings
1 Data science and R SIDS 1, RYWM 1, Wickham 2020
2 Coding basics R4DS Ch. 1, 4, 6, 8
3 Version control Bryan 2017
4 Literate programming R4DS Ch. 27, Markdown tutorial
5 Data types and structures R4DS Ch. 20
6 Importing and exporting data R4DS Ch. 11
7 Cleaning columns R4DS Ch. 5.1, 5.4, 5.5
8 Wrangling rows R4DS Ch. 5.2, 5.3, 5.6
9 Tidy data R4DS Ch. 12
10 Merging data R4DS Ch. 13
11 Character strings R4DS Ch. 14
12 Factors, dates, and times R4DS Ch. 15, 16
13 Functions and flow R4DS Ch. 19, 21
14 Grammar of graphics R4DS Ch. 3, FDV Ch. 1, 2, 3
15 Design and style FDV Ch. 17, 25, 26, 29
16 Color FDV Ch. 4, 19
17 Visualizing distributions FDV Ch. 7, 8, 9
18 Visualizing amounts and proportions FDV Ch. 6, 10, 11
19 Visualizing x-y data FDV Ch. 12, 13, 14
20 Finessing plots FDV Ch. 18, 20, 21, 23
21 Adorning plots FDV Ch. 22.1-22.2, 24, R4DS Ch. 28
22 Extending plots FDV Ch. 16, 27
23 Tables FDV Ch. 22.3, RMC 10.1
24 TBA

FDV = Fundamentals of Data Visualization, R4DS = R for Data Science, RMC = R Markdown Cookbook, RYWM = RYouWithMe, SIDS = Statistical Inference via Data Science

Remote R learners, we believe in you

Illustrations by Allison Horst.

About

Data Science and Visualization in R course materials

Topics

Resources

Stars

Watchers

Forks

Languages