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Filtering rows | Data untangled: transforming and cleaning data with R (lesson 2)
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👋 LESSON MATERIALS 🛑
Get the data, scripts, PDF notes and quizzes for this lesson from our website:
Chapters:
00:00 Intro
02:53 Introducing filter()
05:29 Relational operators
09:33 Combining conditions with & and |
13:44 Negating conditions with !
18:00 NA values
22:52 Wrap Up
Learning objectives
1. You can use dplyr::filter() to keep or drop rows from a dataframe.
2. You can filter rows by specifying conditions on numbers or strings using relational operators like greater than, less than, equal to (==), and not equal to (!=).
3. You can filter rows by combining conditions using logical operators like the ampersand (&) and the vertical bar (|).
4. You can filter rows by negating conditions using the exclamation mark (!) logical operator.
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And follow us on social media to get the latest updates!
Get the data, scripts, PDF notes and quizzes for this lesson from our website:
Chapters:
00:00 Intro
02:53 Introducing filter()
05:29 Relational operators
09:33 Combining conditions with & and |
13:44 Negating conditions with !
18:00 NA values
22:52 Wrap Up
Learning objectives
1. You can use dplyr::filter() to keep or drop rows from a dataframe.
2. You can filter rows by specifying conditions on numbers or strings using relational operators like greater than, less than, equal to (==), and not equal to (!=).
3. You can filter rows by combining conditions using logical operators like the ampersand (&) and the vertical bar (|).
4. You can filter rows by negating conditions using the exclamation mark (!) logical operator.
----------------
And follow us on social media to get the latest updates!
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