Effective Data Visualization with R: Volume III - ggplot2
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Effective Data Visualization with R: Volume III - ggplot2

About the Book

The package ggplot2 is one of the most (if not the most) popular data visualization packages out there. It was developed back in 2005 by Hadley Wickham and since then has become the tool of choice for most data professionals dealing with chart production in R and beyond. This package and its various extensions, provide a wide variety of functions for producing almost any chart type imaginable, from univariate, bivariate, multivariate, maps, networks, etc. The goal of this book is to get the reader up to speed with chart production with ggplot2. This book is the third in a series of books by the same author which deals with data visualization in R. Hope you enjoy it as he did writing it.

About the Author

fru kingsly
fru kingsly

FRU Kingsly is a seasoned Business Intelligence developer, with more than ten years in the field of data management and analysis. He has worked with various applications and software including R, Python, Power BI, Tableau, MS SQL Server, MS Excel, MySQL etc. He is passionate about data and analytics and always encourages others around him to take the data analysis route. You can contact him at frukingsly@live.com.

Table of Contents

  • Part1: Introduces you to plotting with ggplot2 and looks at plot elements (Chapter 1 and 2)
      Chapter 1: Introduction to data visualization with ggplot2
      Chapter 2: Plot elements
  • Part2: Producing different chart types (Chapter 3 to 8)
      Chapter 3: One discrete variable charts
      Chapter 4: One continuous variable charts
      Chapter 5: Two discrete variables charts
      Chapter 6: One discrete and one continuous variable charts
      Chapter 7: Two continuous variables charts
      Chapter 8: Three variables charts
  • Part3: Map visualization with the maps package (Chapter 9 to 11)
      Chapter 9: Base maps with the maps package
      Chapter 10: Qualitative Maps
      Chapter 11: Quantitative maps
  • Part4: Arranging multiple charts on the same sheet (chapter 12)
      Chapter 12: Arranging multiple plots on the same sheet

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