R for Data Science [2 ed.] 9781492097402, 9781492097341

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientis

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English Pages 743 Year 2023

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Table of contents :
Welcome
Preface to the second edition
1 Introduction
Whole game
2 Data visualization
3 Workflow: basics
4 Data transformation
5 Workflow: code style
6 Data tidying
7 Workflow: scripts and projects
8 Data import
9 Workflow: getting help
Visualize
10 Layers
11 Exploratory data analysis
12 Communication
Transform
13 Logical vectors
14 Numbers
15 Strings
16 Regular expressions
17 Factors
18 Dates and times
19 Missing values
20 Joins
Import
21 Spreadsheets
22 Databases
23 Arrow
24 Hierarchical data
25 Web scraping
Program
26 Functions
27 Iteration
28 A field guide to base R
Communicate
29 Quarto
30 Quarto formats

R for Data Science [2 ed.]
 9781492097402, 9781492097341

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