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 - 3rd ed. - Kolkata: Shroff Publishers, 2018. - xxv, 492 p. : ill. ; 23 cm.

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

9781491910399 9789352134977


R (Computer program language)
Big data
Databases
Electronic data processing
Statistics--Data processing
Computer science
Data mining
Information visualization

006.312 / WIC/R
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