Data Science: R Basics

Chapters

1Getting Started with R and RStudio

2R Language Fundamentals

3Data Types and Structures

4Vectors and Factors

5Matrices, Arrays, and Lists

6Data Frames and Tibbles

7Importing, Exporting, and Reading Data

8Data Cleaning and Transformation with dplyr

9Reshaping Data with tidyr

Tidy data principles pivot longer pivot wider separate and unite nest and unnest expand and complete fill and replace na crossing and grid expansion chop and unchop rectangling from JSON list columns basics multiple keys and spec columns handling duplicate keys relational reshaping strategies reshaping performance tips

10Working with Dates, Strings, and Categories

11Exploratory Data Analysis and Visualization with ggplot2

12Control Flow, Functions, and Apply Family

13Reproducibility, Projects, and Packages

14Basics of Statistical Modeling in R

15Working with Larger Data and Performance

Courses/Data Science: R Basics/Reshaping Data with tidyr

Reshaping Data with tidyr

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Tidy datasets and restructure tables for analysis and modeling.

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multiple keys and spec columns

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