Statistical inference via data science : a ModernDive, into R and the tidyverse
書誌事項
- タイトル
- "Statistical inference via data science : a ModernDive, into R and the tidyverse"
- 責任表示
- Chester Ismay, Albert Y. Kim
- 出版者
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- Taylor and Francis
- 出版年月
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- 2019
- 書籍サイズ
- 26 cm
- シリーズ名/番号
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- : hbk
この図書・雑誌をさがす
注記
Includes bibliographical references and index
Summary: "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout"-- Provided by publisher
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詳細情報 詳細情報について
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- CRID
- 1130290526059610777
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- NII書誌ID
- BC11785253
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- ISBN
- 9780367409876
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- LCCN
- 2019042572
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- Web Site
- https://lccn.loc.gov/2019042572
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- 本文言語コード
- en
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- 出版国コード
- us
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- タイトル言語コード
- en
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- 出版地
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- Boca Raton, FL
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- 分類
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- LCC: QA276.45.R3
- DC23: 519.5/4
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- 件名
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- LCSH: Statistics -- Data processing
- LCSH: Quantitative research
- LCSH: R (Computer program language)
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- データソース種別
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- CiNii Books