hoopR
An R package to quickly obtain clean and tidy men's basketball play by play data. (by sportsdataverse)
ncaahoopR
An R package for working with NCAA Basketball Play-by-Play Data (by lbenz730)
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| hoopR | ncaahoopR | |
|---|---|---|
| 6 | 2 | |
| 77 | 193 | |
| - | - | |
| 7.6 | 7.1 | |
| 3 months ago | about 1 month ago | |
| R | R | |
| GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
hoopR
Posts with mentions or reviews of hoopR.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-06.
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Schedule Sheet Mon 2/27
Thankfully, I've made use of the hoopR package which lets me get data that is up to date, primarily by pulling info from ESPN's APIs. While that does most of the work, there's tweaking that I need to do (most particularly for streamed game broadcasts that aren't ESPN3/ESPN+) but it usually goes fairly swimmingly.
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Help!! Dataset required for Supervised Linear Regression | Learning purposes
hoopR (college and pro basketball)
- Resources for Sports Analytics
- NBA individual player stats for every game.
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Where Can I get Excel File for Regular Season Schedule?
https://github.com/saiemgilani/hoopR Digging around through here will probably help you find a csv which is easy to convert to excel
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An empirical analysis of the relationship between every NBA players' astrological sign and on-court performance in the 2020-2021 season.
Next, we’ll look at a few measures of performance on the court to see whether certain signs are better or worse suited to particular aspects of the game. For each of these, I took player box score statistics (sourced from https://github.com/saiemgilani/hoopR), grouped them by the player’s astrological sign, and calculated their average numbers through the 2020-21 season. First, we’ll look at scoring -- the chart below shows each sign’s average points per game.
ncaahoopR
Posts with mentions or reviews of ncaahoopR.
We have used some of these posts to build our list of alternatives
and similar projects.
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The history of every seed matchup in the NCAAM Tournament, going back to 1985
Data for pre-2021 games from here, data for 2021 games was scraped from ESPN.com using the ncaahoopR package for R.
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Scraping College Basketball Data
Try https://github.com/lbenz730/ncaahoopR
What are some alternatives?
When comparing hoopR and ncaahoopR you can also consider the following projects:
nbastatR - NBA Stats API Wrapper and more for R
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
sportsipy - A free sports API written for python
gganimate - A Grammar of Animated Graphics
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
nba_api - An API Client package to access the APIs for NBA.com
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
mlbplotR - R package to easily plot MLB logos
fflr - Get ESPN fantasy football data in R
tidycensus - Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R