Lecture 10
Next Steps
May 28, 2023
Slides & Code
Suggested Reading (from R for Data Science (2e))
Chapter 28: A field guide to base R
Useful Resources
Cheatsheets
Package Websites
tidymodels
• ggmap
• sf
• tidycensus
• usethis
• Shiny
Other Readings
Feature Engineering and Selection: A Practical Approach for Predictive Models •
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse •
Supervised Machine Learning for Text Analysis in R •
Welcome to Text Mining with R •
ggplot2: Elegant Graphics for Data Analysis (3e) •
Spatial Data Science: With Applications in R •
Happy Git and GitHub for the useR
Other Resources
Top 50 ggplot Visualizations “Master List”1 • ggplot2 Extension Packages • Software Carpentry Class: Version Control with Git
Crowdsource Help
CS&SS 508 Slack Workspace • Posit community • Stackoverflow • CSSCR @ UW - Drop by, say hi, get help!
Footnotes
Good for ideas and sample code!↩︎