R für Data Science
Language: German
Published by Dpunkt.Verlag Apr 2024, 2024
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 47.97
Quantity: 1 available
Add to basketItem description from seller
Neuware - 2. Auflage des US-Bestellers, jetzt vollständig aktualisiert und erweitert Hadley Wickham ist eine Legende auf dem Gebiet der Data Science: Er hat eine vollkommen neue, bahnbrechende Methode der Datenanalyse mit R entwickelt Wickhams innovative Herangehensweise wird in diesem Buch beschrieben, es ist ein Standardwerk für Datenanalysten Erfahren Sie, wie Sie mit R aus Ihren Daten Erkenntnisse und Einsichten gewinnen. Dieses Buch führt Sie in R und RStudio ein sowie in Tidyverse, eine Sammlung von R-Paketen, mit denen Data-Science-Aufgaben effektiv und zeitsparend erledigt werden können. Auch wenn Sie keine Programmiererfahrung haben, können Sie mit diesem aktualisierten Standardwerk schnell in die Praxis der Data Science einsteigen. Sie lernen, Daten zu importieren, aufzubereiten, zu visualisieren und die Ergebnisse zu präsentieren. Darüber hinaus bekommen Sie einen umfassenden Überblick über den Data-Science-Zyklus und die Tools, die für die Detailarbeit erforderlich sind. Die zweite Auflage behandelt die neuesten Funktionen und Best Practices von Tidyverse und zeigt Ihnen in neu hinzugekommenen Kapiteln, wie Sie Daten aus Spreadsheets, Datenbanken und Websites nutzen. Zahlreiche Übungen unterstützen Sie dabei, das Gelernte praktisch auszuprobieren. Themen des Buchs sind: Visualisieren - Erstellen Sie Diagramme für die Datenauswertung und die Kommunikation von Ergebnissen Transformieren - Erkunden Sie Variablentypen und die Werkzeuge, um mit ihnen zu arbeiten Importieren - Lesen Sie Daten in R ein und bringen Sie sie in eine für die Analyse geeignete Form Programmieren - Lernen Sie leistungsfähige R-Tools kennen, mit denen Sie Datenprobleme leichter lösen können Kommunizieren - Verwenden Sie Quarto, um Text, Code und Ergebnisse kombiniert darzustellen 592 pp. Deutsch. …
Seller Inventory # 9783960092346
- Title
- R für Data Science
- Author
- Hadley Wickham
- Publisher
- Dpunkt.Verlag Apr 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- German
- ISBN 10
- 3960092342
- ISBN 13
- 9783960092346
- Item weight
- 1,076 grams
- Dimensions
- 240x166x34 mm
- 2. Edition of the US Order, now fully updated and expanded
- Hadley Wickham is a legend in the field of data science: he has developed an entirely new, groundbreaking method of data analysis with R
- Wickham's innovative approach is described in this book, it is a standard work for data analysts
Learn how to gain insights and insights from your data with R. This book introduces you to R and RStudio, as well as Tidyverse, a collection of R packages that can be used to complete data science tasks effectively and in a time-saving manner. Even if you have no programming experience, you can quickly get into the practice of data science with this updated standard work.
You will learn to import, prepare, visualize data, and present the results. In addition, you get a comprehensive overview of the data science cycle and the tools required for detailed work. The second edition covers the latest features and best practices from Tidyverse and shows you how to use data from spreadsheets, databases and websites in newly added chapters. Numerous exercises help you try out what you have learned practically.
Topics of the book are:
- Visualize - Create charts for data evaluation and communication of results
- Transform - Explore variable types and the tools to work with them
- Import - Read data into R and bring it into a form suitable for analysis
- Programming - Meet powerful R tools that help you solve data problems more easily
- Communicate - Use Quarto to present text, code, and results combined
"Synopsis" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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