hoopR
mlbplotR
| hoopR | mlbplotR | |
|---|---|---|
| 6 | 3 | |
| 78 | 16 | |
| - | - | |
| 7.6 | 4.7 | |
| 3 months ago | 6 days ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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hoopR
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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.
mlbplotR
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Adding MLB Team Logos to a Graph in R
If people are looking to do this, what I did was to copy the csv used to map team logos to assets from mlbplotR, make a function to grab each image from whichever spot, and use AnnotationBbox to actually plot the logo.
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[OC] Plotting 'Team Runs Scored vs Team Runs Allowed' this season. What (or who) stands out?
I’m away from my computer to upload the code, but I got the logos and the foundation for the code from mlbplotR! A great and super useful package.
What are some alternatives?
nbastatR - NBA Stats API Wrapper and more for R
healthyR.ts - A time-series companion package to healthyR
sportsipy - A free sports API written for python
baseballr - A package written for R focused on baseball analysis. Currently in development.
ncaahoopR - An R package for working with NCAA Basketball Play-by-Play Data
ggExtra - 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
ggthemr - Themes for ggplot2.
nba_api - An API Client package to access the APIs for NBA.com
aRtsy - aRtsy is an R package that implements algorithms for making generative art in a straightforward and standardized manner using 'ggplot2'.
Basketball_Analytics - Repository which contains various scripts and work with various basketball statistics
waffle - :maple_leaf: Make waffle (square pie) charts in R