Effective Data Visualization with R: Volume II - lattice
Effective Data Visualization with R: Volume II - lattice
About the Book
Charts and graphs are meant to give us a condensed view of a given phenomenon or situation from data. That is, they enable us to extract the maximum amount of information from data as we can. At times, this entails dealing with a single variable (univariate charts), two variables (bivariate charts) or three variables (trivariate charts). But what happens when we have more than three variables (multivariate and Hypervariate charts). In such cases, the centre can no longer hold, and we need a different paradigm from which to visualize these variables. This is the premise of the lattice package. The package lattice is a data visualization package that allows us to produce multipanel plots that is many plots arranged by columns and rows on the same sheet or multiple sheets. It was developed by Deepayan Sarkar as R's implementation of trellis graphics which was implemented in S and S-PLUS.
The goal of this book then is to explore the nooks and crannies of chart production with the lattice package and is the second in a series of books on data visualization with R.
Table of Contents
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Part1: Introduces you to plotting and multipanel plotting with lattice (Chapter 1 and 3)
- Chapter 1: Introduction to plotting with lattice
- Chapter 2: Multivariate plots
- Chapter 3: Plot Elements
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Part2: Producing different chart types (Chapter 4 to 7)
- Chapter 4: Bar chart and dot plot
- Chapter 5: Histogram, Density plot and Q-Q plot
- Chapter 6: Box plot, strip plot and violin plot
- Chapter 7: Scatter plot matrix, parallel coordinates plot and 3D Scatter Plot
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Part3: Map visualization with the maps package (Chapter 8 to 10)
- Chapter 8: Base maps with the maps package
- Chapter 9: Qualitative Maps
- Chapter 10: Quantitative maps
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