Visualize Baseball with sunburstR"
In sunburstR: Sunburst 'Htmlwidget'

knitr::opts_chunk$set(echo = TRUE, warning=FALSE, message=FALSE)

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. wzxhzdk:1 ### Make the Data sunburst-able wzxhzdk:2 ### Create a Sunburst wzxhzdk:3 ### 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. wzxhzdk:4 ## 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 wzxhzdk:5 ### Draw the Sunburst wzxhzdk:6 ## 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.