Graphing Data with R: An Introduction (Paperback)
暫譯: 使用 R 繪製數據圖形：入門指南 (平裝本)

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)

使用圖形來理解複雜的數據關係比在電子表格中掃描數字要容易得多。本指南將介紹如何使用 R 語言創建各種有用的圖形，以便可視化和分析科學、商業、媒體及其他許多領域的複雜數據。您將學習如何突出重要的關係和趨勢，將數據簡化為更簡單的形式，並一目了然地強調關鍵數字。

任何想要分析數據的人都能在這裡找到有用的資訊——即使您沒有數學、統計或計算機程式設計的背景。如果您想檢視與工作相關的數據，這本書是開始的理想方式。

- 通過學習基本命令開始使用 R
- 建立單變量圖形，例如點圖、圓餅圖、箱型圖和直方圖
- 使用散佈圖、高密度圖和其他技術探索兩個定量變量之間的關係
- 使用散佈圖矩陣、3D 圖、聚類、熱圖和其他圖形來可視化三個或更多變量之間的關係

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