Statistical inference via data science: a ModernDive into R and the tidyverse

Medientyp: Buch

Titel: Statistical inference via data science : a ModernDive into R and the tidyverse

Beteiligte: Ismay, Chester [VerfasserIn]; Kim, Albert Y. [VerfasserIn]

Erschienen: Boca Raton; London; New York: CRC Press, Taylor & Francis Group, [2020]

Umfang: xxx, 430 Seiten; Illustrationen, Diagramme

Sprache: Englisch

ISBN: 9780367409821; 9780367409876

RVK-Notation: ST 601 : Einzelne Systeme (alphabetisch)
MB 2520 : Mathematik und Statistik in der Politikwissenschaft

Schlagwörter: Statistische Schlussweise > R

Entstehung:

Anmerkungen: Includes bibliographical references and index

Beschreibung: "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"--

Statistical inference via data science : a ModernDive into R and the tidyverse

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