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R
The book gives plenty of examples of common (and some not-so-common) data visualizations, with suggestions on how to customize them for the best effect. All of the R code for the charts in included in the book, and also available on GitHub for easy copy-pasting. The chart types discussed include:
- Charts for making comparisons: bar charts and dot charts
- Visualizations of distributions: histograms and box plots
- Charting trends over time: line charts and month plots
- Visualizing relationships: scatterplots, scatterplot matrices, and parallel coordinate plots
- Dividing a whole into parts: (multiple) pie charts, bar charts (simple, divided, grouped and faceted)
- Specialized charts: stacked bar charts (Likert scales) and linked micromaps (as shown below)
The examples were done using Microsoft R Open, but since it's 100% compatible with R the code works with any relatively recent R version.
Naomi and Joyce presented several examples from their e-book in a recent webinar (presented by Microsoft), and fielded lots of interesting questions from the audience. If you'd like to see the recorded webinar and also receive a copy of the slides and the e-book, follow the link below to register to receive the materials via email.
Microsoft Advanced Analytics and IoT: Creating Effective Graphs with Microsoft R Open
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