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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