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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Language: English
Published by Chapman and Hall/CRC, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Hardcover. Condition: Very Good. A very nice copy. No highlighting, writing or other marks detected on pages. Minimal signs of use or wear.; 7.25 X 1.5 X 10 inches; 582 pages.
Language: English
Published by T And F India, 2025
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Hardcover. Condition: New. ISBN:9781032941677,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
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Add to basketMixed media product. Condition: Brand New. har/psc edition. 551 pages. 10.00x7.25x1.50 inches. In Stock.
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Language: English
Published by Chapman and Hall/CRC -, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Language: English
Published by Taylor & Francis Group, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC 2021-03-12, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Published by Chapman and Hall/CRC, 2021
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Published by Taylor & Francis Group, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
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Language: English
Published by Taylor & Francis Inc, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 556 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Language: English
Published by Taylor & Francis Inc, 2017
ISBN 10: 1498724485 ISBN 13: 9781498724487
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Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condition: New. From a review of the first edition: "Modern Data Science with R. is rich with examples and is guided by a strong narrative voice. What's more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
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Gebunden. Condition: New. Benjamin S. Baumer is an associate professor in the Statistical & Data Sciences program at Smith College. He has been a practicing data scientist since 2004, when he became the first full-time statistical analyst for the New York Met.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. From a review of the first edition: "Modern Data Science with R. is rich with examples and is guided by a strong narrative voice. What's more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 2nd edition. 631 pages. 10.25x7.25x1.50 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: New. From a review of the first edition: "Modern Data Science with R. is rich with examples and is guided by a strong narrative voice. What's more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
Language: English
Published by Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367191490 ISBN 13: 9780367191498
Seller: Rarewaves.com UK, London, United Kingdom
US$ 192.70
Quantity: 2 available
Add to basketHardback. Condition: New. From a review of the first edition: "Modern Data Science with R. is rich with examples and is guided by a strong narrative voice. What's more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.