Creator
Anonymous
Learn how to efficiently manipulate and transform data using R's built-in functions, base packages and supported packages. Topics include subsetting, merging, reshaping, and aggregating data.
Prerequisites
Knowledge in R
Data Basics
Understanding Data Structures
Dataframe Indexing
Subsetting Data
Data Type Conversion
The Pipe Operator in R
Data Transformation
Intro to dplyr
Aggregating with dplyr
Joining Data with dplyr
Reshaping Data
Wide to Long Format
Long to Wide Format
Handling Missing Data
Advanced Manipulation
String Manipulation
Date and Time Handling
Custom Functions
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