GLHLTH562: Data Science and Visualization with R
Syllabus
Content
▾
Week 0
Week 1
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
☰
Week 4
Data wrangling
Tidy data and relational data
Contents
Feb 6: Tidy data
Prepare
During Class
After Class (Optional)
Feb 8: Relational data
Prepare
During Class
After Class (Optional)
TidyTuesday
Feb 6: Tidy data
Prepare
⬇️:
Tidying data cheatsheet
📖:
R4DS Chapter 5
📓: Wickham, H. (2014). Tidy data.
Journal of Statistical Software, 59(10)
, 1–23
.
📓: Broman, K., W. & Woo, K. H. (2018). Data organization in spreadsheets.
The American Statistician, 72(1)
, 2-10, DOI:
10.1080/00031305.2017.1375989
During Class
Deck
/ Materials (
zip
)
After Class (Optional)
🎙: Making Data Simple podcast:
Hadley Wickham talks about his journey in data science, tidy data concepts, and his many books
.
Feb 8: Relational data
Prepare
📖:
R4DS Chapter 19
During Class
Deck
/ Materials (
zip
)
After Class (Optional)
📺:
Using dplyr’s join functions in R to filter and merge data frames
TidyTuesday