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Online textbook on information visualization alongside the ggplot2 package
A 
new online textbook, Data Visualization for Social Science, volition instruct you lot everything you lot withdraw to know virtually creating beautiful as well as elegant information visualizations using the ggplot2 package and the R language. The author Kieran Healy is a professor of Sociology at Duke University who has designed information visualizations featured inward outlets like The Washington Post, Vox, The Rachel Maddow Show, Slate, as well as the Boston Globe.
While the information sets featured inward the mass are mostly from the social sciences, the mass withal provides an fantabulous introduction to visualization alongside R for whatsoever domain. This mass is non a full general introduction to R, but it does render a few basics to acquire you lot going. And piece it doesn't explore all of the possibilities for creating graphics inward R, its focus on the ggplot2 packet volition plow over you lot a framework for creating simply virtually whatsoever type of statistical graphic you lot mightiness need, alongside plenty item to customize it for publication inward report, article or presentation.
Here's a brief outline of the 8 chapters of the book:
- Chapter 1: Influenza A virus subtype H5N1 basic introduction to R. There are a few to a greater extent than details inward Appendix A, but if you're completely novel to the R linguistic communication this mightiness non endure plenty to acquire you lot going. You mightiness desire to begin alongside something like R for Data Science first: its focus on the Tidyverse dovetails nicely alongside this book.
- Chapter 2: An example-driven overview of the elements of expert (and bad) information visualizations. This chapter has no R-specific content, as well as is an fantabulous read for anyone producing statistical graphics.
- Chapter 3: Basics concepts for using the ggplot2 package.
- Chapter 4: Advanced ggplot2 techniques, including groups, facets as well as transforms.
- Chapter 5: Creating dissimilar plot types inward ggplot2 using geoms, as well as how to combine geoms to gear upward up to a greater extent than complex charts.
- Chapter 6: How to visualizing statistical models: including trendlines as well as smooths, plotting predictions alongside estimates of variability, as well as evaluating model fit.
- Chapter 7: Creating geographic maps: aggregating information past times regions (like naught code) to utilisation information maps similar choropleths and statebins (as shown below).
- Chapter 8: Customizing charts for publication alongside themes, annotations, as well as combinations of charts.
While the mass is currently marked every bit an "incomplete draft", the chapters inward a higher house are all self-contained as well as include everything you lot withdraw to larn information visualization alongside ggplot2 effectively, as well as characteristic clear as well as interesting examples. You tin sack uncovering the mass at the link below, as well as all of the content is gratuitous to read online. Hopefully a printed version volition too endure available for buy 1 time the content is complete.
Kieran Healy: Data Visualization for Social Science