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Data Science: R Basics
Chapters

1Getting Started with R and RStudio

2R Language Fundamentals

3Data Types and Structures

Atomic types numeric integer logical characterComplex and raw typesVectors lists matrices data framesType inspection functionsCreating atomic vectorsFactors vs charactersS3 vs S4 vs R6 overviewAttributes names dim classCopy on modify semanticsMemory vs reference behaviorMissing data basicsOverview of tibblesData frame vs tibble differencesSubsetting semanticsObject size and memory usage

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

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/Data Types and Structures

Data Types and Structures

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Understand atomic types and the primary data structures used in R for data analysis.

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4 of 15

Type inspection functions

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