R for data science: import, tidy, transform, visualize, and model data/ Hadley Wickham and Garrett Grolemund
Publication details: Kolkata: Shroff Publishers, 2018Edition: 3rd edDescription: xxv, 492 p. : ill. ; 23 cmISBN: 9781491910399; 9789352134977Subject(s): R (Computer program language) | Big data | Databases | Electronic data processing | Statistics--Data processing | Computer science | Data mining | Information visualizationDDC classification: 006.312Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
General Books | Central Library, Sikkim University General Book Section | 006.312 WIC/R (Browse shelf(Opens below)) | Available | 48054 |
Browsing Central Library, Sikkim University shelves, Shelving location: General Book Section Close shelf browser (Hides shelf browser)
006.312 PUD/D Data mining / | 006.312 PUD/D Data mining / | 006.312 TAN/I Introduction to data mining/ | 006.312 WIC/R R for data science: import, tidy, transform, visualize, and model data/ | 006.312 WIL/D Data science & big data analytics: discovering, analyzing, visualizing and presenting data / | 006.3122 HAS/E The Elements of Statistical Learning: Data Mining, Inference, and Prediction | 006.32 IRW/N Nonlinear dynamical systems: feedforward neural network perspectives/ |
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
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