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Data Manipulation in R

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.

14 Lessons

12 Challenges

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Prerequisites

Knowledge in R

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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