Analyze NFL Play Data in R – Tidyverse Tutorial | Paul Sabin | AthlyticZ | 5th June 2025 скачать в хорошем качестве

Analyze NFL Play Data in R – Tidyverse Tutorial | Paul Sabin | AthlyticZ | 5th June 2025

Learn how to analyze real NFL play-by-play data using R and the Tidyverse package! In this hands-on tutorial, we walk through key data manipulation functions like group_by(), summarize(), and filter() to explore advanced football metrics like Expected Points Added (EPA), yards gained, down distribution, and more. We demonstrate how to: Group and ungroup complex football data by team and quarter Calculate summary statistics such as mean, standard deviation, and percentiles Use count() and n() to quantify play frequencies Visualize patterns across different downs and quarters Filter plays based on custom football analytics logic Whether you're into sports analytics, R programming, or just starting with data science, this tutorial gives you real-world insights using professional NFL data. Dataset: NFL play-by-play 2023 season Language: R Tools used: tidyverse, dplyr, summarize, filter, group_by Here's the link to the course know more - https://athlyticz.com/tidy-i Subscribe for more tutorials on sports analytics, R data science, and real-world datasets! #NFLData #SportsAnalytics #Tidyverse #RProgramming #FootballAnalytics #DataScienceWithR #GroupByR #RStats #EPAMetrics #NFLStats