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Autor(en): 
  • Andy Vickler
  • R Programming: R Data Visualization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Mai 2023  
    Genre:  EDV / Informatik 
    ISBN:  9781955786652 
    EAN-Code: 
    9781955786652 
    Verlag:  Ladoo Publishing LLC 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 9 mm 
    Gewicht:  220 gr 
    Seiten:  144 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book is like a friend who advises and guides you on how to use the ggplot2 package for making data visualizations. With this book, you will learn how to get started with data visualization in R. You will learn basic concepts of graphics, and you will also learn how to perform statistical analyses. This book is for everyone who faces a difficult task when trying to make data visualizations using R. It is also for people who are interested in learning more about statistics and graphical techniques. The book also teaches readers how to get started with ggplot2, and it also introduces the basics of R so that readers are aware of the basic commands and functions in R, as well as importing libraries. R has transformed the way statistical modeling approaches are applied, and has become a tool which is commonly used by analysts, programmers and visual artists alike. Its ease of use and flexibility make it an invaluable tool for working with large amounts of data. This book provides you with a comprehensive guide to how R can be used for data visualization. You'll learn how to use the statistical modeling and graphics packages in R, as well as gain an understanding of the principles behind both traditional and modern data visualization techniques. Think of R as a programming language that provides access to the power of machine learning and statistical computing. It's software used by statisticians and data scientists, with its capabilities in statistics, data visualization, machine learning, and more.

      



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