R for data science : import, tidy, transform, visualize, and model data

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...

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Detalles Bibliográficos
Autor principal: Wickham, Hadley
Otros Autores: Çetinkaya-Rundel, Mine (autora), Grolemund, Garrett (autor)
Formato: Libro
Lenguaje:inglés
Publicado: Sebastopol, [California] : O'Reilly, 2023.
Edición:Second edition.
Materias:
Acceso en línea:

MARC

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245 1 0 |a R for data science :   |b import, tidy, transform, visualize, and model data  |c Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund. 
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300 |a 548 páginas. 
520 |a 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. 
650 0 |a Procesamiento electrónico de datos  |9 21731 
650 0 |a R (Lenguaje de programación para computadores)  |9 21725 
650 0 |a Minería de datos  |x Programas para computador  |9 21732 
650 0 |a Visualización de información  |9 21733 
650 0 |a Big data  |9 12461 
650 0 |a Bases de datos  |9 21734 
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