README

Practical R/data-wrangling Tips and Tricks: custom functions, regex, and iteration. Learn techniques for common needs such as data-scraping, ingesting multiple files, transforming messy data into tidy data, quickly cleaning column names, separating multivalue fields, uniting variable values, and nesting data.

mybinder container

Applied topics

• File handling: ingesting multiple CSV files ; multivalue fields
• Regular expressions and pattern matching: working with strings
  • if_else() and case_when()
• Custom functions: leverage R as a functional coding language
• Nesting data-frames: preparing to iterate over list columns
• Data wrangling case study with Excel; how to use fill()(“fill down”) and pivot_longer()
• Harvesting data from the web

See Also

• these awesome tips https://oliviergimenez.github.io/tidyverse-tips/
• The complications of privacy and research with scraped data

License

CC-BY 4.0 Attribution 4.0 International (CC BY 4.0)