Exploring data science with R and the tidyverse [electronic resource] : a concise introduction / Jerry Bonnell and Mitsunori Ogihara.
"This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to r...
| Main Authors: | |
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| Language: | English |
| Published: |
Boca Raton :
CRC Press,
2024.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Exploring Data Science with R and the Tidyverse: A Concise Introduction |
| Format: | Electronic eBook |
MARC
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| 100 | 1 | |a Bonnell, Jerry, |e author. | |
| 245 | 1 | 0 | |a Exploring data science with R and the tidyverse |h [electronic resource] : |b a concise introduction / |c Jerry Bonnell and Mitsunori Ogihara. |
| 246 | 2 | |a Exploring Data Science with R and the Tidyverse: A Concise Introduction | |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton : |b CRC Press, |c 2024. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Data types -- Data transformation -- Data visualization -- Building simulations -- Sampling -- Hypothesis testing -- Quantifying uncertainty -- Towards normality -- Regression -- Text analysis. | |
| 520 | |a "This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive amounts of external resources for onboarding. The contents are targeted for undergraduate students but are equally applicable to students at the graduate level and beyond. The book develops concepts using many real-world examples to motivate the reader. An accompanying R package "edsdata" contains synthetic and real datasets used by the textbook and is meant to be used for further practice. An exercise set is made available and designed for compatibility with automated grading tools for instructor use"-- |c Provided by publisher. | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a R (Computer program language) | |
| 700 | 1 | |a Ogihara, Mitsunori, |d 1963- |e author. | |
| 773 | 0 | |t Taylor & Francis Complete 2023 eBooks |d Taylor and Francis | |
| 773 | 0 | |t STATSnetBASE |d Taylor and Francis | |
| 773 | 0 | |t Taylor & Francis eBooks (Complete Collection) |d Taylor and Francis | |
| 776 | 0 | 8 | |i Print version : |a Bonnell, Jerry. |t Exploring data science with R and the tidyverse |b First edition. |d Boca Raton : CRC Press, 2024 |z 9781032329505 |w (DLC) 2023003151 |
| 856 | 4 | 0 | |y Access Content Online(from Taylor & Francis Complete 2023 eBooks) |u https://ezproxy.msu.edu/login?url=https://www.taylorfrancis.com/books/9781003320845 |z Taylor & Francis Complete 2023 eBooks: 2023 |
| 856 | 4 | 0 | |y Access Content Online(from STATSnetBASE) |u https://ezproxy.msu.edu/login?url=https://www.taylorfrancis.com/books/9781003320845 |z STATSnetBASE: 2023 |
| 856 | 4 | 0 | |y Access Content Online(from Taylor & Francis eBooks (Complete Collection)) |u https://ezproxy.msu.edu/login?url=https://www.taylorfrancis.com/books/9781003320845 |z Taylor & Francis eBooks (Complete Collection): 2023 |