R Programming
indgår i R Programming serien
- Indbinding:
- Paperback
- Sideantal:
- 144
- Udgivet:
- 6. maj 2023
- Størrelse:
- 152x8x229 mm.
- Vægt:
- 220 g.
- 8-11 hverdage.
- 11. december 2024
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af R Programming
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.
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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