nfldata
nflfastR
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nfldata | nflfastR | |
---|---|---|
4 | 7 | |
240 | 391 | |
0.8% | 2.0% | |
10.0 | 8.4 | |
18 days ago | 22 days ago | |
R | R | |
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nfldata
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4th Down Study
There's an excellent introduction to how to use R to scrape NFL data here, and a slightly more involved tutorial here. I strongly suggest giving this a go, both for the NFL related data crunching you can do, and for the ideal opportunity to learn a programming language: figuring out how to do something you already want to do.
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Is there a database of NFL box score over the past ten years?
nflverse's games file here: https://github.com/nflverse/nfldata/blob/master/data/games.csv
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Can I pull the entire seasons schedule down from somewhere in json, xml, or csv format?
nflfastR
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Data for players on field play-by-play?
nflfastr has an extensive library of PlayByPlay, Roster, and Gamelog data that you can access programmatically via R.
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[OC] Cumulative Win Probability Added: AFC Bubble
For more on all this, here's the source of my data: {nflfastR}
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[OC] Cumulative Win Probability Added - AFC East, 2022
Source: {nflfastR} play-by-play and win probability models.
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Is there anywhere I can find the standard deviation of points and yards for each team in each game?
It's been superseded by nflfastR at least for the play by play stuff. You can also download the data directly, rather than using the scraping functions. https://github.com/nflverse/nfldata
- Best Data Source for NFL Play-by-Play
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Metric for how many different receivers quarterbacks utilize?
nflfastR is a database with play by play data going back to 1999, it has everything you'd need to create such a metric, but you gotta write the query yourself :)
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[OC] Superbowl Probability of Winning: Play-by-play
Data Source: nflfastr library: https://github.com/mrcaseb/nflfastR
What are some alternatives?
nflverse-data - Automated nflverse data repository
shiny.i18n - Shiny applications internationalization made easy
parsel - parallel execution of RSelenium
rtypeform - An R interface to the 'typeform' API.
nfl_data_py - Python code for working with NFL play by play data.
littler - A scripting and command-line front-end for GNU R
xlsx - An R package to interact with Excel files using the Apache POI java library
Peptides - An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.
randomNames - Function to generate random gender and ethnicity correct first and/or last names. Names are chosen proportionally based upon their probability of appearing in a large scale data base of real names.
nflscraPy - Datasets and Scraping Functions for NFL Data
nfldb - A library to manage and update NFL data in a relational database.