R for data science : Import tidy transform visualize and model data/ Hadley Wickham (and) Garret grolemund.
Material type: TextPublication details: Beijing; O'reilly, c2017.Description: xxiv, 492p.: ill.(col): 23 cmISBN:- 9781491910399
- QA 276.45 .R3 .W53 2017.
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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Books | Zetech Library - Mang'u | Non-fiction | QA276.45.R3 .W53 2017 (Browse shelf(Opens below)) | C.3 | Available | Z009686 | ||
Books | Zetech Library - Mang'u | Non-fiction | QA276.45.R3 .W53 2017 (Browse shelf(Opens below)) | C.2 | Available | Z009685 | ||
Books | Zetech Library - TRC General Stacks | Non-fiction | QA 276.45 .R3 .W53 2017 (Browse shelf(Opens below)) | C4. | Available | Z010804 | ||
Books | Zetech Library - TRC General Stacks | Non-fiction | QA 276.45 .R3 .W53 2017 (Browse shelf(Opens below)) | C1. | Available | Z009537 |
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QA276.45.R3 .L87 2019 Mastering Spark with R : the complete guide to large-scale analysis and modeling / | QA276.45.R3 .P73 2013 Big data analytics with r and hadoop 3: set up an integrated infrastructure of R and hadoop to turn your data analytics into big data analytics / | QA 276.45 .R3 .W53 2017 R for data science : Import tidy transform visualize and model data/ | QA 276.45 .R3 .W53 2017 R for data science : Import tidy transform visualize and model data/ | QA278 .H349 2014 The essence of multivariate thinking : basic themes and methods / | QA278 .J64 2014 Applied multivariate statistics analysis / | QA278 .K38 1989 Editing for printing / |
ncludes indexes.
Data visualization with ggplot2 -- Workflow: Basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Tibbles with tibble -- Data import with readr -- Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- factors with focats -- Dates and times with lubricate -- Pipes with magrittr -- Functions -- Vectors -- Iteration with purr -- Model basics with modelr -- Model building -- Many models with purr and broom -- R markdown -- Graphics for communication with ggplot2 -- R markdown formats -- R markdown workflow.
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