R for data science : import, tidy, transform, visualize, and model data /
Wickham, Hadley,
R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund. - First edition. - xxv, 492 pages : illustrations (some color) ; 23 cm
Includes bibliographical references and index.
Part I. Explore. Data visualization with ggplot2 -- Workflow: basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Workflow: projects -- Part II. Wrangle. Tibbles with tibble -- Data import with readr --Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- Factors with forcats -- Dates and times with lubridate -- Part III. Program. Pipes with magrittr -- Functions -- Vectors -- Iteration with purrr -- Part IV. Model. Model basics with modelr -- Model building -- Many models with purrr and broom -- Part V. Communicate. R Markdown -- Graphics for communication with ggplot2 -- R Markdown formats -- R Markdown workflow.
"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--
9781491910399 (softcover) 1491910364
2017300238
R (Computer program language)
Data mining--Computer programs.
Information visualization--Computer programs.
Big data.
Databases.
Big data.
Databases.
Electronic data processing.
R (Computer program language)
Statistics.
QA276.45.R3 / W53 2016
006.312 / WIR
519.2
R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund. - First edition. - xxv, 492 pages : illustrations (some color) ; 23 cm
Includes bibliographical references and index.
Part I. Explore. Data visualization with ggplot2 -- Workflow: basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Workflow: projects -- Part II. Wrangle. Tibbles with tibble -- Data import with readr --Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- Factors with forcats -- Dates and times with lubridate -- Part III. Program. Pipes with magrittr -- Functions -- Vectors -- Iteration with purrr -- Part IV. Model. Model basics with modelr -- Model building -- Many models with purrr and broom -- Part V. Communicate. R Markdown -- Graphics for communication with ggplot2 -- R Markdown formats -- R Markdown workflow.
"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--
9781491910399 (softcover) 1491910364
2017300238
R (Computer program language)
Data mining--Computer programs.
Information visualization--Computer programs.
Big data.
Databases.
Big data.
Databases.
Electronic data processing.
R (Computer program language)
Statistics.
QA276.45.R3 / W53 2016
006.312 / WIR
519.2