Offers a rich and diverse collection of datasets focused on sports, athletics, physical performance, and related disciplines. The package includes professional and amateur sports data covering team sports such as soccer, basketball, baseball, American football, volleyball, rugby, cricket, hockey, and handball, as well as individual sports including tennis, badminton, table tennis, golf, swimming, cycling, athletics, gymnastics, wrestling, boxing, martial arts, weightlifting, triathlon, rowing, canoeing, climbing, surfing, skiing, snowboarding, and motorsports. Datasets cover player and team performance, match statistics, tournament results, championship standings, Olympic and international competitions, rankings, player demographics, coaching and training, biomechanics, sports medicine, injuries, exercise physiology, fitness assessment, sports nutrition, wearable sensor measurements, talent identification, and sports analytics. Additional datasets include historical competitions, referee decisions, fan engagement, economic indicators, and sports management data obtained from public repositories, official organizations, research publications, and educational resources. Designed for sports scientists, coaches, analysts, researchers, educators, students, and data scientists, this package facilitates exploratory data analysis, statistical modeling, machine learning, visualization, and sports analytics research.
Package details |
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| Author | Renzo Caceres Rossi [aut, cre] (ORCID: <https://orcid.org/0009-0005-0744-854X>) |
| Maintainer | Renzo Caceres Rossi <arenzocaceresrossi@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/lightbluetitan/sportsr https://lightbluetitan.github.io/sportsr/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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