Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
暫譯: 應用統計學的 R 語言學習:包含資料視覺化、迴歸分析與統計學

Eric Goh Ming Hui

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商品描述

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. 
 
Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. 
 
What You Will Learn
  • Discover R, statistics, data science, data mining, and big data
  • Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions
  • Work with descriptive statistics 
  • Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots
  • Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions
 
Who This Book Is For
 
Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations. 
 
 

商品描述(中文翻譯)

獲得 R 程式語言的基礎知識,以進行應用統計,這對於數據科學和數據挖掘中的數據探索和分析非常有用。本書涵蓋的主題包括 R 語法基礎、描述性統計、數據視覺化、推論統計和迴歸分析。在學習 R 的語法後,您將學習如何進行數據視覺化,例如直方圖和箱型圖,描述性統計,以及推論統計,如 t 檢定、卡方檢定、ANOVA、非參數檢定和線性迴歸。

《學習 R 進行應用統計》是一本及時的技能轉移書籍,為您提供 R 程式語言的基礎知識,並介紹應用統計以進行數據探索。

您將學到的內容:
- 探索 R、統計學、數據科學、數據挖掘和大數據
- 精通 R 程式語言的基礎,包括變數和算術、向量、列表、數據框、條件語句、迴圈和函數
- 使用描述性統計
- 創建數據視覺化,包括條形圖、折線圖、散佈圖、箱型圖、直方圖和散佈圖
- 使用推論統計,包括 t 檢定、卡方檢定、ANOVA、非參數檢定、線性迴歸和多元線性迴歸

本書適合對數據科學感興趣的人,特別是使用應用統計進行數據探索,以及使用 R 程式語言進行數據視覺化的人。

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