R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund.

By: Wickham, Hadley [author.]Contributor(s): Grolemund, Garrett [author.]Material type: TextTextLanguage: English Sebastopol, CA : O'Reilly, 2016 ©2017Edition: First editionDescription: xxv, 492 pages : illustrations (some color) ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781491910399 (softcover)Subject(s): R (Computer program language) -- Handbooks, manuals, etc | Data mining -- Computer programs | Information visualization -- Computer programs | Big data | DatabasesLOC classification: QA276.45.R3 W53 2016
Contents:
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.
Summary: "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"-- Provided by publisher.
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Books MEF Üniversitesi Kütüphanesi
Genel Koleksiyon QA 276.45 .R3 W53 2016 (Browse shelf (Opens below)) c.1 Available 0019001

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"-- Provided by publisher.