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

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Bibliographic Information

Title
"Statistical inference via data science : a ModernDive, into R and the tidyverse"
Statement of Responsibility
Chester Ismay, Albert Y. Kim
Publisher
  • Taylor and Francis
Publication Year
  • 2019
Book size
26 cm
Series Name / No
  • : hbk

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Notes

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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