20  Using split-apply-combine to help in processing

20.1 Learning objectives

1. Review the split-apply-combine technique and identify how these concepts make use of functional programming.
2. Apply functional programming to summarize data using the split-apply-combine technique with dplyr’s summarise(), its .by argument, and across() functions.
3. Identify and design ways to simplify the functions you make by creating general functions that contain other functions you’ve made, such as a general “cleaning” function that contains your custom functions that clean your specific data.

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