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Viser: Graphing Data with R - An Introduction
Graphing Data with R Vital Source e-bog
John Jay Hilfiger
(2015)
Graphing Data with R Vital Source e-bog
John Jay Hilfiger
(2015)
Graphing Data with R
An Introduction
John Jay Hilfiger
(2015)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (Oktober 2015)
- ISBN: 9781491922569
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: -1 sider kan printes ad gangen
Copy: højest -1 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: O'Reilly Media, Inc (Oktober 2015)
- ISBN: 9781491922583
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 10 sider kan printes ad gangen
Copy: højest 10 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback: 336 sider
- Udgiver: O'Reilly Media, Incorporated (Oktober 2015)
- ISBN: 9781491922613
It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Anyone who wants to analyze data will find something useful here--even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.
- Get started with R by learning basic commands
- Build single variable graphs, such as dot and pie charts, box plots, and histograms
- Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques
- Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables