Normal view MARC view ISBD view

Wickham, Hadley

R for data science: import, tidy, transform, visualize, and model data. - 1° - xxv, 492 p.: illustrations (some color); 22,8 x 15,3 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"--

ISBN: 9781491910399 (softcover)

LCCN: 2017300238

Subjects--Topical Terms:
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.

Dewey Class. No.: 006.312

Universal Decimal Class. No.: 519.2