Hadley Wickham, Mine Cetinkaya-Rundel, Garrett Grolemund

R for Data Science (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 tidyversea 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.You'll understand how to:Visualize: Create plots for data exploration and communication of resultsTransform: Discover variable types and the tools to work with themImport: Get data into R and in a form convenient for analysisProgram: Learn R tools for solving data problems with greater clarity and easeCommunicate: Integrate prose, code, and results with Quarto

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 578
• Erscheinungstermin: 8. Juni 2023
• Englisch
• ISBN-13: 9781492097372
• Artikelnr.: 72362667

Autorenporträt

Hadley Wickham is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science. Learn more on his homepage, http: //hadley.nz.