Projects, Tibbles and Importing Data-Projects
Projects and the R Environment
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Projects, Tibbles and Importing Data-Importing Data
Importing Data
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Projects, Tibbles and Importing Data-Tibbles
Introduction to Tibbles
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Tibble Indexing
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Projects, Tibbles and Importing Data-Parsing Data
Parsing Vectors
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Parsing Dates
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Using the readr Library
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Tidying Data-Resources
Other Resources
Tidying Data-Tidying Data
What is Tidy Data?
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Pivoting Data
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Separating and Uniting Variables
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Handling Missing Data
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Pivoting Data and Grouping
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Tidying Multiple Observations Per Row
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Relational Data-Resources
Data Transformation with dplyr: Cheat Sheet
Relational Data-Working With Packages
Working with Packages
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Relational Data-Working With Relational Data
Mutating Joins
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Filtering Joins
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Set Operations
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String Manipulation and Regular Expressions-Resourses
String Manipulation with stringr: Cheat Sheet
String Manipulation and Regular Expressions-Strings
Introduction to Strings
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Subsetting Strings
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String Manipulation and Regular Expressions-Regular Expressions
Basic String Matching
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Anchoring Expressions
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Character Classes
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Controlling the Number of Pattern Matches
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Groups and Backreferences
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String Manipulation and Regular Expressions-Applying Regular Expressions with stringr
Detect Matches
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Extract Matches
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Grouped Matches
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String Splitting and regex()
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Categorical Variables and Factors-Resources
Factors with forcats: Cheat Sheet
Other Resources
Categorical Variables and Factors-Factors
What Are Factors
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Creating Factors
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Other Factor Verbs and the GSS
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Modifying Factor Order: Part 1
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Modifying Factor Order: Part 2
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Modifying Factor Levels
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