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Add website to DESCRIPTION #33

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2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@ Suggests:
rmarkdown,
curl
Config/testthat/edition: 3
URL: https://github.com/sportsdataverse/sportyR
URL: https://sportyr.sportsdataverse.org/, https://github.com/sportsdataverse/sportyR
BugReports: https://github.com/sportsdataverse/sportyR/issues
VignetteBuilder: knitr
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
3 changes: 3 additions & 0 deletions README.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ knitr::opts_chunk$set(

# sportyR <img src="https://raw.githubusercontent.com/sportsdataverse/sportyR/main/logos/sportyr-logo-hex.png" align="right" width="120"/>

<!-- badges: start -->
[![CRAN
version](https://img.shields.io/badge/dynamic/json?style=flat&color=ff552e&label=CRAN version&prefix=v&query=%24.Version&url=https%3A%2F%2Fcrandb.r-pkg.org%2FsportyR)](https://CRAN.R-project.org/package=sportyR)
[![CRAN
Expand All @@ -32,6 +33,8 @@ downloads](https://img.shields.io/badge/dynamic/json?style=flat&color=ff552e&lab
Follow](https://img.shields.io/twitter/follow/sportyR_pkg?&label=%40sportyR_pkg&logo=twitter&style=flat&color=ff552e)](https://twitter.com/sportyR_pkg)
[![Twitter
Follow](https://img.shields.io/twitter/follow/sportsdataverse?&label=%40sportsdataverse&logo=twitter&style=flat&color=ff552e)](https://twitter.com/sportsdataverse)
<!-- badges: end -->


As the field of sports analytics evolve, there's a growing need for
methods to both track and visualize players throughout the game. This
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5 changes: 4 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,8 +1,9 @@

<!-- README.md is generated from README.Rmd. Please edit that file -->

# sportyR <img src="https://raw.githubusercontent.com/sportsdataverse/sportyR/main/logos/sportyr-logo-hex.png" align="right" width="120"/>
# sportyR <img src="https://raw.githubusercontent.com/sportsdataverse/sportyR/main/logos/sportyr-logo-.png" align="right" width="120"/>
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<!-- badges: start -->
[![CRAN
version](https://img.shields.io/badge/dynamic/json?style=flat&color=ff552e&label=CRAN%20version&prefix=v&query=%24.Version&url=https%3A%2F%2Fcrandb.r-pkg.org%2FsportyR)](https://CRAN.R-project.org/package=sportyR)
[![CRAN
Expand All @@ -15,6 +16,8 @@ downloads](https://img.shields.io/badge/dynamic/json?style=flat&color=ff552e&lab
Follow](https://img.shields.io/twitter/follow/sportyR_pkg?&label=%40sportyR_pkg&logo=twitter&style=flat&color=ff552e)](https://twitter.com/sportyR_pkg)
[![Twitter
Follow](https://img.shields.io/twitter/follow/sportsdataverse?&label=%40sportsdataverse&logo=twitter&style=flat&color=ff552e)](https://twitter.com/sportsdataverse)
<!-- badges: end -->


As the field of sports analytics evolve, there’s a growing need for
methods to both track and visualize players throughout the game. This
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