R Graphics Cookbook: Practical Recipes for Visualizing Data, 2/e (Paperback)
            
暫譯: R 圖形食譜:數據可視化的實用配方,第二版(平裝本)
        
        Winston Chang
- 出版商: O'Reilly
- 出版日期: 2018-12-18
- 售價: $2,800
- 貴賓價: 9.5 折 $2,660
- 語言: 英文
- 頁數: 444
- 裝訂: Paperback
- ISBN: 1491978600
- ISBN-13: 9781491978603
- 
    相關分類:
    
      Data-visualization
 
- 
    相關翻譯:
    
      R數據可視化手冊, 2/e (R Graphics Cookbook: Practical Recipes for Visualizing Data, 2/e) (簡中版)
 
立即出貨 (庫存 < 3)
買這商品的人也買了...
- 
                
                   Learn PowerShell Toolmaking in a Month of Lunches (Paperback) Learn PowerShell Toolmaking in a Month of Lunches (Paperback)$1,700$1,615
- 
                
                   Statistics, 10/e (Paperback) Statistics, 10/e (Paperback)$1,480$1,450
- 
                
                   R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperback) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (Paperback)$1,910$1,815
- 
                
                   R 資料科學 (R for Data Science) R 資料科學 (R for Data Science)$780$616
- 
                
                   OpenCV 3 學習手冊 (Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library) OpenCV 3 學習手冊 (Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library)$1,200$948
- 
                
                   Asymptotic Statistics (Paperback) Asymptotic Statistics (Paperback)$3,050$2,898
- 
                
                   $2,430R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e $2,430R Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics, 2/e
- 
                
                   $1,470Effective Python: 90 Specific Ways to Write Better Python, 2/e (Paperback) $1,470Effective Python: 90 Specific Ways to Write Better Python, 2/e (Paperback)
- 
                
                   Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2/e (Paperback) Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2/e (Paperback)$2,622$2,484
- 
                
                   R語言邁向 Big Data 之路 :王者歸來 ,2/e R語言邁向 Big Data 之路 :王者歸來 ,2/e$780$616
- 
                
                   Mastering Python for Bioinformatics Mastering Python for Bioinformatics$3,135$2,970
- 
                
                   Principles of Virology, Volume 2: Pathogenesis and Control Principles of Virology, Volume 2: Pathogenesis and Control$4,250$4,038
- 
                
                   Principles of Virology, Volume 1: Molecular Biology Principles of Virology, Volume 1: Molecular Biology$4,760$4,522
- 
                
                   R All-In-One for Dummies R All-In-One for Dummies$1,500$1,425
- 
                
                   Python 資料視覺化從 2D 到 3D 使用 matplotlib 實作 - 王者歸來 (全彩印刷) Python 資料視覺化從 2D 到 3D 使用 matplotlib 實作 - 王者歸來 (全彩印刷)$790$624
- 
                
                   R Bioinformatics Cookbook : Utilize R packages for bioinformatics, genomics, data science, and machine learning, 2/e (Paperback) R Bioinformatics Cookbook : Utilize R packages for bioinformatics, genomics, data science, and machine learning, 2/e (Paperback)$1,800$1,710
商品描述
This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.
Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference.
- Use R’s default graphics for quick exploration of data
- Create a variety of bar graphs, line graphs, and scatter plots
- Summarize data distributions with histograms, density curves, box plots, and more
- Provide annotations to help viewers interpret data
- Control the overall appearance of graphics
- Explore options for using colors in plots
- Create network graphs, heat maps, and 3D scatter plots
- Get your data into shape using packages from the tidyverse
商品描述(中文翻譯)
這本 O'Reilly 食譜書提供了超過 150 個食譜,幫助科學家、工程師、程式設計師和數據分析師快速生成高品質的圖表,而無需深入了解 R 的繪圖系統的所有細節。每個食譜針對特定問題提供解決方案,您可以將其應用於自己的專案,並包括對該食譜如何運作及其原因的討論。
本第二版中的大多數食譜使用更新版本的 ggplot2 套件,這是一種在 R 中製作圖表的強大且靈活的方法。您還會發現有關圖形視覺設計的擴展內容。如果您對 R 語言至少有基本的理解,您就可以開始使用這本易於使用的參考書。
- 使用 R 的預設圖形快速探索數據
- 創建各種條形圖、折線圖和散點圖
- 使用直方圖、密度曲線、箱型圖等總結數據分佈
- 提供註解以幫助觀眾解釋數據
- 控制圖形的整體外觀
- 探索在圖表中使用顏色的選項
- 創建網絡圖、熱圖和 3D 散點圖
- 使用 tidyverse 套件整理您的數據

 
     
     
     
     
     
     
     
     
     
    