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

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 tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if yo...

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Detalles Bibliográficos
Otros Autores: Wickham, Hadley, author (author), Çetinkaya-Rundel, Mine, author, Grolemund, Garrett, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc 2023.
Edición:2nd edition
Materias:
Data mining > Computer programs.
Information visualization > Computer programs.
R (Computer program language)
Big data.
Databases.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752729906719
Tabla de Contenidos:
  • Part I. Whole game. Data visualization ; Workflow : basics ; Data transformation ; Workflow : code style ; Data tidying ; Workflow : scripts and projects ; Data import ; Workflow : getting help
  • Part II. Visualize. Layers ; Exploratory data analysis ; Communication
  • Part III. Transfer. Local vectors ; Numbers ; Strings ; Regular expressions ; Factors ; Dates and times Missing values ; Joins – Part IV. Import. Spreadsheets ; Databases ; Arrow ; Hierarchical data ; Web scraping
  • Part V. Program. Functions ; Iteration ; A field guide to Base R – Part VI. Communicate. Quarto ; Quarto formats.

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