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230704 ||| eng |
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4 |
|a QA276.45.R3
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| 100 |
1 |
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|a Wickham, Hadley
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| 245 |
0 |
0 |
|a R for data science
|b import, tidy, transform, visualize, and model data
|c Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund
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| 250 |
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|a 2nd edition
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| 260 |
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|a Sebastopol, CA
|b O'Reilly Media, Inc.
|c 2023
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| 300 |
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|a xxiii, 550 pages
|b illustrations
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| 505 |
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|a Includes bibliographical references and index
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| 505 |
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|a Part I. Whole game. Data visualization ; Workflow : basics ; Data transformation ; Workflow : code style ; Data tidying ; Workflow : scripts and projects ; Data import ; Workflow : getting help -- Part II. Visualize. Layers ; Exploratory data analysis ; Communication -- Part III. Transfer. Local vectors ; Numbers ; Strings ; Regular expressions ; Factors ; Dates and times Missing values ; Joins – Part IV. Import. Spreadsheets ; Databases ; Arrow ; Hierarchical data ; Web scraping -- Part V. Program. Functions ; Iteration ; A field guide to Base R – Part VI. Communicate. Quarto ; Quarto formats
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| 653 |
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|a Data mining / Computer programs
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| 653 |
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|a R (Langage de programmation)
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| 653 |
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|a Big data / fast
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| 653 |
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|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
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| 653 |
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|a Information visualization / Computer programs
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| 653 |
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|a R (Computer program language) / fast
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| 653 |
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|a Visualisation de l'information / Logiciels
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| 653 |
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|a Données volumineuses
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| 653 |
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|a Exploration de données (Informatique) / Logiciels
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| 653 |
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|a Information visualization / Computer programs / fast
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| 653 |
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|a Databases / fast
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| 653 |
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|a Databases / http://id.loc.gov/authorities/subjects/sh86007767
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| 653 |
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|a R (Computer program language) / http://id.loc.gov/authorities/subjects/sh2002004407
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| 700 |
1 |
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|a Çetinkaya-Rundel, Mine
|e author
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| 700 |
1 |
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|a Grolemund, Garrett
|e author
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9781492097402
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781492097396/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3/12
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| 520 |
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|a Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse—a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way
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