rdomains
nflfastR
rdomains | nflfastR | |
---|---|---|
3 | 7 | |
53 | 393 | |
- | 0.8% | |
3.1 | 8.1 | |
about 1 year ago | 9 days ago | |
R | R | |
GNU General Public License v3.0 or later | 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.
rdomains
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How do you store interest-based content? Do I store that content in separate filetype folders or a single folder with sub-directories for each media type?
If you want ideas for categories, have a look at the DMOZ category tree; looking for "electronics" plus some editing gave me this tree:
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Difference between tech and computer categories
https://github.com/themains/rdomains/blob/master/data-raw/dmoz/ has the full DMOZ tree, but it's about 5-6 years old.
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Hierarchy of files and folders question
If you want ideas for categories, have a look at the DMOZ category tree; it's huge but you can mess around with it. The important thing is, you're not being graded. What matters is whether this helps or hinders you when keeping track of your stuff -- if it doesn't, dump the part that fails and replace it.
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It's been superseded by nflfastR at least for the play by play stuff.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?
nfldata - NFL Data (by Lee Sharpe)
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.