Biblioteca UNEATLANTICO catalog › Details for: R for data science : import, tidy, transform, visualize, and model data. /

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R for data science : import, tidy, transform, visualize, and model data. / Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund

By: Wickham, Hadley

Contributor(s): Çetinkaya-Rundel, Mine [coaut.]

| Grolemund, Garrett [coaut.]

Publisher: Sebastopol (California) : O Reilly Media, Inc., 2023Description: xxiii, 548 p. : il. (algunas en color) ; 24 cmISBN: 9781492097402Subject(s): R (Lenguaje de programación)

| Análisis dmultivariante

Contents:

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

Summary: Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.

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Title notes

Item type	Current location	Collection	Call number	Status	Date due	Barcode	Course reserves
Libro	Biblioteca Universidad Europea del Atlántico Fondo General	No ficción	004.43 ORE rfo	Checked out	21/01/2026	4915	Investigación de Mercados

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

Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.

You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way.