Letter Case
This lesson is called Letter Case, part of the Data Cleaning with R course. This lesson is called Letter Case, part of the Data Cleaning with R course.
Transcript
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Your Turn
Import the Marine Protected Areas dataset (MPAS-your.csv), and summarize the number of Marine Protected Areas by country (Country full).
Learn More
To learn more about the to_any_case() function used in this lesson, check out the snakecase package.
The video below is also an interesting look at how most people in the R world (in 2017) name things.
Have any questions? Put them below and we will help you out!
Course Content
32 Lessons
1
What are Regular Expressions?
03:48
2
Understanding and Testing Regular Expressions
03:51
3
Literal Characters and Metacharacters
06:16
4
Metacharacters: Quantifiers
01:33
5
Metacharacters: Alternation, Special Sequences, and Escapes
02:53
6
Combining Metacharacters
05:18
7
Regex in R
02:58
8
Regular Expressions and Data Cleaning, Part 1
04:15
9
Regular Expressions and Data Cleaning, Part 2
12:00
1
Common Issues in Data Cleaning
03:17
2
Unusable Variable Names
10:11
3
Whitespace
11:10
4
Letter Case
06:52
5
Missing, Implicit, or Misplaced Grouping Variables
11:19
6
Compound Values
10:09
7
Duplicated Values
08:49
8
Broken Values
09:52
9
Empty Rows and Columns
11:30
10
Parsing Numbers
12:02
11
Putting Everything Together
25:50
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Tobia Dondè • March 31, 2026
If a tidyverse-oriented approach is chosen it is worth noting that
stringr(which is loaded in thetidyversemeta-package since 2017-11-07) added functions to change cases much like thesnakecasepackage:str_to_camel(),str_to_snake(), andstr_to_kebab()were added in version 1.6.0 (2025-11-04)str_to_sentence()was added in version 1.4.0 (2019-02-10)str_to_upper(),str_to_lower(), andstr_to_title()seem to always have been there.See the
stringrchangelog page: https://stringr.tidyverse.org/news/index.html