Speaker
Description
LeBron choosing between taking a mid-range shot and feeding a teammate for an open three-pointer; Verstappen heading towards the pit lane or driving another few laps with the current tires; Sinner going all-in on a second serve against Alcaraz. Making split-second decisions when the stakes are the highest requires the talent and hard work that only great athletes have. Analysis of sports data has grown exponentially the last quarter century, providing sports performers with precise information to support their abilities. In this talk we'll show sample basic analysis from a variety of sports, leveraging domain specific R packages and publicly available data sets and provide tips to UseRs aspiring to use their skills in the sports domain.
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
No AI tools/services were used.
Additional Material or Paper
https://beanumber.github.io/abdwr3e/
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | Basketball, Baseball, Formula 1, data visualization |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |