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Data Cleaning with R

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  1. Grouping and Indicator Variables
  2. Regular Expressions and Data Cleaning, Part 2
  3. Missing, Implicit, or Misplaced Grouping Variables
  4. Putting Everything Together
Data Cleaning with R Regular Expressions and Data Cleaning, Part 2
Lesson 20 of 31
In Progress

Regular Expressions and Data Cleaning, Part 2

Your Turn
  1. Download CRAN package descriptions using the tools package
  2. Select package name, author, description, and all variables that end in ‘ports’
  3. Filter rows for packages with names that:
  • end in plot
  • contain Bayes
  • contain digits
  • are all UPPER CASE
Solutions