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R de hajimeru dēta saiensu / Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund cho ; Ōhashi Shin'ya yaku.

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.
Contributor:
Ōhashi, Shin'ya, translator.
Standardized Title:
R for data science. Japanese
Language:
Japanese
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 (576 pages)
Edition:
Dai 2-han.
Distribution:
Tōkyō-to Chiyoda-ku : Hatsubaimoto Kabushiki Kaisha Ōmusha
Place of Publication:
Tōkyō-to Shinjuku-ku : Orairī Japan, 2024.
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.
Notes:
OCLC-licensed vendor bibliographic record.
Includes index.
ISBN:
9784814400775
OCLC:
1450367297

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