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Data Science Quick Reference by Mailund Thomas (26 results)
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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Condition: As New. Unread book in perfect condition.
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R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Seller: Books From California, Simi Valley, CA, U.S.A.
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R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
Seller: Books From California, Simi Valley, CA, U.S.A.
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paperback. Condition: Good.
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Paperback or Softback. Condition: New. R 4 Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages. Book.
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R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
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Condition: New. 2022. 2nd ed. paperback. . . . . .
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Add to basketPaperback. Condition: Brand New. 2nd poc edition. 241 pages. 9.25x6.10x0.51 inches. In Stock.
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R 4 Data Science Quick Reference : A Guide to Apis, Libraries, and Packages
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R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
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Condition: New. 2022. 2nd ed. paperback. . . . . . Books ship from the US and Ireland.
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R 4 Data Science Quick Reference : A Guide to Apis, Libraries, and Packages
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Condition: New. 2nd ed. edition NO-PA16APR2015-KAP.
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Add to basketPaperback. Condition: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock.
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R 4 Data Science Quick Reference
Language: English
Published by Apress, Apress Okt 2022, 2022
ISBN 10: 1484287797 ISBN 13: 9781484287798
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 244 pp. Englisch.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub. What You'll LearnImplement applicable R 4 programming language specification featuresImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelrWho This Book Is ForProgrammers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
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Condition: New. Print on Demand.
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R 4 Data Science Quick Reference
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.What You'll LearnImplement applicable R 4 programming language specification featuresImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelrWho This Book Is ForProgrammers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended. 244 pp. Englisch.
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Condition: New. PRINT ON DEMAND.
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R 4 Data Science Quick Reference
Language: English
Published by Springer, Berlin|Apress, 2023
ISBN 10: 1484287797 ISBN 13: 9781484287798
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this handy, quick reference book you ll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.What You'll LearnImplement applicable R 4 programming language specification featuresImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelrWho This Book Is ForProgrammers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
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Taschenbuch. Condition: Neu. R 4 Data Science Quick Reference | A Pocket Guide to APIs, Libraries, and Packages | Thomas Mailund | Taschenbuch | ix | Englisch | 2022 | Apress | EAN 9781484287798 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
