Data Transformation I

Week 09, Fall 2024

• Start: Monday, October 21
• End: Friday, October 25

Summary

This week we will dive into data visualization and transformation. In doing so, we will move from using strictly Base R, to supplementing Base R with the tidyverse.

Learning Objectives

After completing this week, you are expected to be able to:

• Understand the difference between a tibble and a data.frame.
• Visualize data using ggplot2.
• Transform data using dplyr, specifically using the single table verbs:
  • select to pick columns (variables) based on their names
  • filter to pick rows (observations) based on their values
  • mutate to add new columns using functions of existing variables
  • summarize to create single number statistical summaries of columns
  • arrange to change the ordering of rows

Reading

Link	Source
Introduction	R4DS
Data Visualization	R4DS
Workflow: Basics	R4DS
Data Transformation	R4DS
Workflow: Code Style	R4DS
Data Tidying	R4DS
Workflow: Scripts and Projects	R4DS
Data Import	R4DS
Workflow: Getting Help	R4DS

Additional Reading

Link	Source
tibble Vignette	tibble Documentation
Tidy Data Vignette	tidyr Documentation

Cheatsheets

Link	Source
ggplot2	Posit Cheatsheets
dplyr	Posit Cheatsheets
readr	Posit Cheatsheets
tidyr	Posit Cheatsheets

Data

• Package: palmerpenguins
• Package: dplyr::starwars
• Package: Lahman
• Package: nycflights13

Video

Title	Link	Mirror
9.1 - Welcome to Week 09	9.1 - YouTube	9.1 - ClassTranscribe
9.2 - Data and Tibbles	9.2 - YouTube	9.2 - ClassTranscribe
9.3 - Data Visualization with ggplot2	9.3 - YouTube	9.3 - ClassTranscribe
9.4 - Data Manipulation with dplyr	9.4 - YouTube	9.4 - ClassTranscribe
9.5 - Lab 06	9.5 - YouTube	9.5 - ClassTranscribe

Assignments

Assignment	Deadline	Credit
Lab 05	Thursday, October 24	100%
Quiz 05	Thursday, October 24	105%
Lab 06	Thursday, October 31	100%
Quiz 06	Thursday, October 31	105%

Office Hours

See Syllabus!