Tidy Data
This lesson is called Tidy Data, part of the Data Cleaning with R course. This lesson is called Tidy Data, part of the Data Cleaning with R course.
Transcript
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Your Turn
Read this illustrated explanation of tidy data, written by the Openscapes team
Read this paper by Broman and Woo (2018) on organizing data in spreadsheets.
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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Amal Dahounto • February 28, 2026
Hi everyone. Are the course videos still downloadable?
David Keyes Founder • March 2, 2026
We switched video hosting providers recently and, unfortunately, they are no longer downloadable.
Amal Dahounto • February 28, 2026
What do you mean by "type of observational unit"?
David Keyes Founder • March 2, 2026
It just means what is the level of analysis that you want to focus on. See this article.
Amal Dahounto • March 6, 2026
Hi David Thank you so much for your responses.