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
Overview
Syllabus
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
