Sunburst charts from [`sunburstR`](https://github.com/timelyportfolio/sunburstR) work well in sports. Let's look at a couple of simple examples of interactive sunburst visualizations with baseball data. We'll be using [`pitchRx`](https://github.com/cpsievert/pitchRx) from [Carson Sievert \@cpsievert](https://twitter.com/cpsievert) to scrape baseball game data. To replicate these examples, please install any missing packages you see in the following code.
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### Make the Data sunburst-able
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### Create a Sunburst
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### Use Sunburst Events
In this [commit](https://github.com/timelyportfolio/sunburstR/commit/7f6879f779d0062699f758795231ecdcd9465777), we added some basic event dispatch to `sunburstR` that can be used in Shiny and non-Shiny contexts. We will use it to display a link to the games that fit the hovered paths.
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## Sequence of Pitches
[Dan Malter](http://danmalter.github.io/) wrote a fantastic post [Using Markov Chains to Predict Pitches](http://danmalter.github.io/r/2016/03/28/Markov-chains.html). Let's visualize his pitch data for Jake Arrieta.
### Scrape the Data
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### Draw the Sunburst
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## Thanks
Thanks so much to [Kerry Rodden](https://twitter.com/kerryrodden) who provided the original [sunburst](http://bl.ocks.org/kerryrodden/7090426) on which this is based.
Thanks [Mike Bostock](https://bost.ocks.org/mike/) for [d3.js](https://d3js.org) (*please give us a way to pay you*).
Thanks [Tim Holman](http://tholman.com/) for the great [github-corners](http://tholman.com/github-corners/).
Thanks [skeleton](http://getskeleton.com/).
Thanks Carson Sievert for `pitchRx` and all your work on [`plotly`](https://github.com/ropensci/plotly).
Thanks Dan Malter for the great markov pitch post.