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R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Mine C̨etinkaya-Rundel, Garrett Grolemund.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Wickham, Hadley, author.
Çetinkaya-Rundel, Mine, author.
Grolemund, Garrett, author.
Language:
English
Subjects (All):
Data mining--Computer programs.
Data mining.
Information visualization--Computer programs.
Information visualization.
R (Computer program language).
Big data.
Databases.
Physical Description:
1 online resource (xxiii, 550 pages) : illustrations
Edition:
2nd edition.
Place of Publication:
Sebastopol, CA : O'Reilly Media, Inc., 2023.
Summary:
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.
Contents:
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.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781492097396
149209739X
OCLC:
1382424341

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