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Title details for Graphing Data with R by John Jay Hilfiger - Available

Graphing Data with R

by John Jay Hilfiger
ebook
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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
  • Examine an idealized SDN framework for controllers, applications, and ecosystems
    • Expand title description text
    Publisher: O'Reilly Media

    Kindle Book

    • Release date: October 19, 2015

    OverDrive Read

    • ISBN: 9781491922569
    • File size: 16591 KB
    • Release date: October 19, 2015

    EPUB ebook

    • ISBN: 9781491922569
    • File size: 15773 KB
    • Release date: October 19, 2015

    Formats

    Kindle Book
    OverDrive Read
    EPUB ebook

    subjects

    Computer Technology Nonfiction

    Languages

    English

    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
  • Examine an idealized SDN framework for controllers, applications, and ecosystems
    • Expand title description text
    Computer Technology Nonfiction