R for data science: import, tidy, transform, visualize, and model data.
Material type:
TextLanguage: Inglés Original language: Inglés Publisher: Sebastopol, CA: O'Reilly Media, 2016, ©2017Edition: 1°Description: xxv, 492 p.: illustrations (some color); 22,8 x 15,3 cmContent type: - texto
- no mediado
- volumen
- 9781491910399 (softcover)
- 006.312 23°
| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode | |
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CRAI UNEMI U. A. C. Ingeniería (FACI) | 006.312 WICr 2016 (Browse shelf(Opens below)) | Ej.1 | Available | Hilera: SISTEMAS 26 Estantería: INGENIERÍA | 31268503 |
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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"--
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