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1. nflverse.nflverse.comnflverse • Data and Tools for NFL Analytics • nflverse

   nflverse.nflverse.com

   • Αποθηκευμένο αντίγραφο

   nflfastR, for play-by-play data back to nflseedR, for season simulations. nfl4th, for 4th down analysis. nflreadr, for fast end efficient nflverse data downloads. nflplotR, for tools to create visualization of NFL related analysis.

2. github.com › nflversenflverse · GitHub

   github.com › nflverse

   • Αποθηκευμένο αντίγραφο

   The nflverse is a set of packages dedicated to data and analysis of the National Football League. Most data is stored in releases of the nflverse/nflverse-data repository, in various formats (csv, parquet, rds, qs being the primary ones).

3. nflsavant.com › aboutNFLsavant.com: Advanced NFL Statistics

   nflsavant.com › about

   • Αποθηκευμένο αντίγραφο

   All data and stats from this site are compiled from publicly-available NFL play-by-play data on the internet. Can I have your data? Yes! Download the 2024 play by play data here. Download the 2023 play by play data here. Download the 2022 play by play data here. Download the 2021 play by play data here. Download the 2020 play by play data here.

4. nflreadr.nflverse.comnflreadr • Download nflverse Data • nflreadr

   nflreadr.nflverse.com

   • Αποθηκευμένο αντίγραφο

   nflreadr is a minimal package for downloading data from nflverse repositories. It includes caching, optional progress updates, and data dictionaries. Please note that nflverse data repositories have been reorganized and pushed towards the nflverse-data repo, and v1.2.0+ is the minimum version that supports this change.

5. github.com › nflverse › nfldatanfldata/RSTUDIO-INTRO.md at master · nflverse/nfldata · GitHub

   github.com › nflverse › nfldata

   • Αποθηκευμένο αντίγραφο

   While you can of course use a variety of tools for looking at data, I recommend downloading and installing both R and RStudio. Both are free and can be downloaded at these links: Download R; Download RStudio; Once you have both installed, run RStudio. In the menu bar go to: File-> New File-> New R Script. You'll now see the four sections of R ...

6. pypi.org › project › nfl-data-pynfl-data-py · PyPI

   pypi.org › project › nfl-data-py

   • Αποθηκευμένο αντίγραφο

   27 Ιουλ 2021 · Includes import functions for play-by-play data, weekly data, seasonal data, rosters, win totals, scoring lines, officials, draft picks, draft pick values, schedules, team descriptive info, combine results and id mappings across various sites. Use the package manager pip to install nfl_data_py.

7. www.kaggle.com › datasets › maxhorowitzDetailed NFL Play-by-Play Data 2009-2018 - Kaggle

   www.kaggle.com › datasets › maxhorowitz

   The dataset made available on Kaggle contains all the regular season plays from the 2009-2016 NFL seasons. The dataset has 356,768 rows and 100 columns. Each play is broken down into great detail containing information on: game situation, players involved, results, and advanced metrics such as expected point and win probability values.