R for Data Science

Hadley Wickham, Garrett Grolemund, Mine Cetinkaya-Rundel

ISBN 10: 1492097403 / ISBN 13: 9781492097402

Editore: O'Reilly Media, US, 2023

Riguardo questo articolo

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-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. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools.You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use 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.

Codice articolo LU-9781492097402

Dati bibliografici

• Titolo: R for Data Science
• Editore: O'Reilly Media, US
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1492097403
• ISBN 13: 9781492097402
• Rilegatura: Paperback
• Edizione: 2nd.
• Condizione: New
• Dimensioni: 17,78 L x 2,97 A x 23,34 P centimetri 17,78 centimetri di larghezza per 2,97 centimetri di altezza per 23,34 centimetri di profondità

Descrizione articolo

Riassunto

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.

You'll understand how to:

• Visualize: Create plots for data exploration and communication of results
• Transform: Discover variable types and the tools to work with them
• Import: Get data into R and in a form convenient for analysis
• Program: Learn R tools for solving data problems with greater clarity and ease
• Communicate: Integrate prose, code, and results with Quarto