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.
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Zetech Library - Mang'u Campus | Non-fiction | QA276.45.R3 .W53 2017 (Browse shelf(Opens below)) | C.3 | Available | Z009686 | ||
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| QA276.4 .C63 1991 Applied statistics and the SAS programming language / | QA276.45 .R3 ,C66 2021 Geographical data science and spatial data analytics in R : an introduction / | QA276.45.R3 .W53 2017 R for data science : Import tidy transform visualize and model data/ | QA276.45.R3 .W53 2017 R for data science : Import tidy transform visualize and model data/ | QA278.2 .F76 2019 Regression analysis: an intuitive guide for using and interpreting linear models/ | QA278.2 .M33 2021 Introduction to linear regression analysis / | QA279 .C37 2024 Statistical inference / |
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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