R for data science : import, tidy, transform, visualize, and model data
Material type: TextPublication details: Mumbai : Shroff Publishers, 2017Edition: First editionDescription: xxv, 492 pages : illustrations (some color)ISBN: 9781491910399; 9789352134977Subject(s): Data mining | Information visualization | R (Computer program language) | Big data | Databases | Electronic data processing | StatisticsDDC classification: 006.31Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Lending Books | Main Library Stacks | REF | 006.31 WIC (Browse shelf(Opens below)) | Available | 015591 |
Originally published in Sebastopol, CA. by O'Reilly Media, 2016.
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"--Page 4 of cover.
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