Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 38,41
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 2nd poc edition. 241 pages. 9.25x6.10x0.51 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2022. 2nd ed. paperback. . . . . . Books ship from the US and Ireland.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 39,46
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
ISBN 10: 1484299450 ISBN 13: 9781484299456
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 71,24
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 79,95
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 246 pages. 9.50x6.50x0.75 inches. In Stock.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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.
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: 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.