{"id":22117173,"url":"https://github.com/sportsdataverse/wehoop","last_synced_at":"2025-04-14T14:04:25.138Z","repository":{"id":39859529,"uuid":"342419619","full_name":"sportsdataverse/wehoop","owner":"sportsdataverse","description":"An R package to quickly obtain clean and tidy women's basketball play by play 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github_document\n---\n\n# wehoop \u003ca href='https://wehoop.sportsdataverse.org'\u003e\u003cimg src=\"https://raw.githubusercontent.com/sportsdataverse/wehoop/main/logo.png\" align=\"right\"  width=\"20%\" min-width=\"100px\"/\u003e\u003c/a\u003e\n```{r setup_readme, include = FALSE}\nrequire(knitr)\nif (!requireNamespace('pacman')){\n  install.packages('pacman')\n}\npacman::p_load(wehoop, magick, grid, dplyr, lubridate)\n# You can install using the pacman package using the following code:\n\n```\n\n\u003c!-- badges: start --\u003e\n[![CRAN status](https://img.shields.io/badge/dynamic/json?style=for-the-badge\u0026color=success\u0026label=CRAN%20version\u0026prefix=v\u0026query=%24.Version\u0026url=https%3A%2F%2Fcrandb.r-pkg.org%2Fwehoop)](https://CRAN.R-project.org/package=wehoop)\n[![CRAN downloads](https://img.shields.io/badge/dynamic/json?style=for-the-badge\u0026color=success\u0026label=Downloads\u0026query=%24%5B0%5D.downloads\u0026url=https%3A%2F%2Fcranlogs.r-pkg.org%2Fdownloads%2Ftotal%2F2021-10-26%3Alast-day%2Fwehoop)](https://CRAN.R-project.org/package=wehoop)\n[![Version-Number](https://img.shields.io/github/r-package/v/sportsdataverse/wehoop?label=wehoop\u0026logo=R\u0026style=for-the-badge)](https://github.com/sportsdataverse/wehoop) [![R-CMD-check](https://img.shields.io/github/actions/workflow/status/sportsdataverse/wehoop/R-CMD-check.yaml?branch=main\u0026label=R-CMD-Check\u0026logo=R\u0026logoColor=white\u0026style=for-the-badge)](https://github.com/sportsdataverse/wehoop/actions/workflows/R-CMD-check.yaml) [![Lifecycle:maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg?style=for-the-badge\u0026logo=github)](https://github.com/sportsdataverse/wehoop)\n\n\u003c!-- [![Twitter Follow](https://img.shields.io/twitter/follow/SaiemGilani?color=blue\u0026label=%40SaiemGilani\u0026logo=twitter\u0026style=for-the-badge)](https://twitter.com/SaiemGilani) --\u003e\n\u003c!-- [![Twitter Follow](https://img.shields.io/twitter/follow/hutchngo?color=blue\u0026label=%40hutchngo\u0026logo=twitter\u0026style=for-the-badge)](https://twitter.com/hutchngo) [![Twitter Follow](https://img.shields.io/twitter/follow/sportsdataverse?color=blue\u0026label=%40SportsDataverse\u0026logo=twitter\u0026style=for-the-badge)](https://twitter.com/sportsdataverse)  --\u003e\n\n\u003c!-- badges: end --\u003e\n\n`wehoop` is an R package for working with women's college and professional basketball data. The package has functions to access **live play by play and box score** data from ESPN with shot locations when available.\n\nA scraping and aggregating interface for ESPN's women's college basketball and WNBA statistics. It provides users with the capability to access the API's game play-by-plays, box scores, standings and results to analyze the data for themselves.\n\n## **Installation**\n\nYou can install the CRAN version of [**```wehoop```** ](https://CRAN.R-project.org/package=wehoop) with:\n```{r readme_cran_install, eval=FALSE}\ninstall.packages(\"wehoop\")\n```\nYou can install the released version of [**`wehoop`**](https://github.com/sportsdataverse/wehoop) from [GitHub](https://github.com/sportsdataverse/wehoop) with:\n\n```{r pacman_readme, eval=FALSE}\n# You can install using the pacman package using the following code:\nif (!requireNamespace('pacman', quietly = TRUE)){\n  install.packages('pacman')\n}\npacman::p_load_current_gh(\"sportsdataverse/wehoop\", dependencies = TRUE, update = TRUE)\n```\n\n\n## **Quick Start**\n\n### **WNBA full play-by-play seasons (2002-`r wehoop::most_recent_wnba_season()`) ~ 1-2 minutes**\n```{r wnba_load_pbp_readme}\n\ntictoc::tic()\nprogressr::with_progress({\n  wnba_pbp \u003c- wehoop::load_wnba_pbp()\n})\ntictoc::toc()\n```\n\n```{r wnba_pbp_message, echo = FALSE}\nglue::glue(\"{nrow(wnba_pbp)} rows of WNBA play-by-play data from {length(unique(wnba_pbp$game_id))} games.\")\n```\n\n### **Women's college basketball full play-by-play seasons (2004-`r wehoop::most_recent_wbb_season()`) ~ 2-3 minutes**\n```{r wbb_load_pbp_readme}\n\ntictoc::tic()\nprogressr::with_progress({\n  wbb_pbp \u003c- wehoop::load_wbb_pbp()\n})\ntictoc::toc()\n\n```\n\n```{r wbb_pbp_message, echo = FALSE}\nglue::glue(\"{nrow(wbb_pbp)} rows of women's college basketball play-by-play data from {length(unique(wbb_pbp$game_id))} games.\")\n```\n\n## **Documentation**\n\nFor more information on the package and function reference, please see the  [**`wehoop`** documentation website](https://wehoop.sportsdataverse.org).\n\n## **Breaking Changes**\n\n[**Full News on Releases**](https://wehoop.sportsdataverse.org/news/index.html)\n\n## Follow the SportsDataverse (@SportsDataverse) on Twitter and star this repo\n\n\u003c!-- [![Twitter Follow](https://img.shields.io/twitter/follow/SportsDataverse?color=blue\u0026label=%40SportsDataverse\u0026logo=twitter\u0026style=for-the-badge)](https://twitter.com/SportsDataverse)  --\u003e \n\n[![GitHub stars](https://img.shields.io/github/stars/sportsdataverse/wehoop.svg?color=eee\u0026logo=github\u0026style=for-the-badge\u0026label=Star%20wehoop\u0026maxAge=2592000)](https://github.com/sportsdataverse/wehoop/stargazers/)\n\n\n# **Our Authors**\n\n-   Saiem Gilani (@saiemgilani)       \n\u003c!-- \u003ca href=\"https://twitter.com/saiemgilani\" target=\"blank\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/saiemgilani?color=blue\u0026label=%40saiemgilani\u0026logo=twitter\u0026style=for-the-badge\" alt=\"@saiemgilani\" /\u003e\u003c/a\u003e --\u003e\n\n\u003ca href=\"https://github.com/saiemgilani\" target=\"blank\"\u003e\u003cimg src=\"https://img.shields.io/github/followers/saiemgilani?color=eee\u0026logo=Github\u0026style=for-the-badge\" alt=\"@saiemgilani\" /\u003e\u003c/a\u003e\n\n-   Geoff Hutchinson (@HutchNGo)       \n\u003c!-- \u003ca href=\"https://twitter.com/HutchNGo\" target=\"blank\"\u003e\u003cimg src=\"https://img.shields.io/twitter/follow/HutchNGo?color=blue\u0026label=%40hutchngo\u0026logo=twitter\u0026style=for-the-badge\" alt=\"@HutchNGo\" /\u003e\u003c/a\u003e --\u003e\n\n\u003ca href=\"https://github.com/hutchngo\" target=\"blank\"\u003e\u003cimg src=\"https://img.shields.io/github/followers/hutchngo?color=eee\u0026logo=Github\u0026style=for-the-badge\" alt=\"@hutchngo\" /\u003e\u003c/a\u003e\n\n\n## **Citations**\n\nTo cite the [**`wehoop`**](https://wehoop.sportsdataverse.org) R package in publications, use:\n\nBibTex Citation\n```bibtex\n@misc{hutchinson_gilani_2021_wehoop,\n  title = {wehoop: Access Women’s Basketball Play by Play Data},\n  url = {http://doi.org/10.32614/CRAN.package.wehoop},\n  DOI = {10.32614/cran.package.wehoop},\n  journal = {CRAN: Contributed Packages},\n  publisher = {The R Foundation},\n  author = {Gilani,  Saiem and Hutchinson,  Geoffery},\n  year = {2021},\n  month = nov \n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsportsdataverse%2Fwehoop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsportsdataverse%2Fwehoop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsportsdataverse%2Fwehoop/lists"}