R für Data Science | Daten importieren, bereinigen, umformen und visualisieren

Hadley Wickham (u. a.)

ISBN 10: 3960092342 / ISBN 13: 9783960092346

Published by O'Reilly, 2024

About this Item

R für Data Science | Daten importieren, bereinigen, umformen und visualisieren | Hadley Wickham (u. a.) | Taschenbuch | Animals | 592 S. | Deutsch | 2024 | O'Reilly | EAN 9783960092346 | Verantwortliche Person für die EU: dpunkt.verlag GmbH, Vanessa Niethammer, Wieblinger Weg 17, 69123 Heidelberg, niethammer[at]dpunkt[dot]de | Anbieter: preigu.

Seller Inventory # 128063104

Bibliographic Details

• Title: R für Data Science | Daten importieren, bereinigen, umformen und visualisieren
• Publisher: O'Reilly
• Publication Date: 2024
• Language: German
• ISBN 10: 3960092342
• ISBN 13: 9783960092346
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 166H x 34D millimeters 240 millimeters width by 166 millimeters height by 34 millimeters depth
• Weight: 1076 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Analyze data with R - the clear and understandable introduction

• 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