Productivity Boosts for Data Transforms
In this part of the data cleaning master class you will get a deep understanding of the basics of computing and summarizing columns. Also, you'll learn advanced tricks to improve your productivity.
Welcome
Preliminaries
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Lesson 01: Meet Our Data
Lesson 02: Vectorized vs Iterative Calculations With mutate()
Lesson 03: Values & Cells in summarize()
Lesson 04: Missing Values With Common Calculations
Lesson 05: Grouped Calculations With summarize()
Lesson 06: Grouped Calculations With mutate()
Lesson 07: Missing Data After Grouped Calculations
Lesson 08: Using across() + summarize() Instead of Repetitions
Lesson 09: Using across() + mutate() Instead of Repetitions
Lesson 10: Adding Calculations Next to across()
Lesson 11: Grouped Calculations With across()
Lesson 12: Getting to Know The reframe() Function
Lesson 13: Motivation For Tidyselect Helpers
Lesson 14: Custom Functions for across()
Lesson 15: Select The Right Data By Column Types
Lesson 16: Select The Right Data By Column Names
Lesson 17: Putting It All Together