Graphing Data with R: An Introduction (Paperback) (使用 R 繪製數據圖表：入門指南)

John Jay Hilfiger

Graphing Data with R: An Introduction (Paperback)

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商品描述

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

商品描述(中文翻譯)

使用圖表比在試算表中掃描數字更容易理解複雜的數據關係。這本入門指南將向您展示如何使用R語言創建各種有用的圖表，以便在科學、商業、媒體和其他領域中視覺化和分析複雜數據。您將學習突出重要關係和趨勢的方法，將數據簡化為更簡單的形式，並一目了然地強調關鍵數字。

即使您沒有數學、統計或計算機編程背景，只要想要分析數據，您都會在這裡找到有用的東西。如果您想要檢查與您的工作相關的數據，這本書是理想的入門方式。

以下是本書的內容大綱：
- 通過學習基本命令來開始使用R
- 建立單變量圖表，如點狀圖、餅圖、箱形圖和直方圖
- 通過散點圖、高密度圖和其他技術來探索兩個定量變量之間的關係
- 使用散點圖矩陣、3D圖、聚類、熱力圖和其他圖表來視覺化三個或更多變量之間的關係

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