BAwiR: Analysis of Basketball Data
Collection of tools to work with basketball data. Functions available are related to friendly
web scraping and visualization. Data were obtained from <https://www.euroleague.net/>,
<https://www.eurocupbasketball.com/> and <https://www.acb.com/>, following the instructions
of their respectives robots.txt files, when available. Tools for visualization include a population pyramid, 2D plots,
circular plots of players' percentiles, plots of players' monthly/yearly stats,
team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games
and maps of nationalities. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Version: |
1.2.7 |
Depends: |
R (≥ 3.4.0) |
Imports: |
Anthropometry, plyr, dplyr, ggplot2, ggthemes, grid, httr, lubridate, magrittr, purrr, reshape2, rvest, rworldmap, scales, stringi, stringr, tibble, tidyr, xml2 |
Suggests: |
knitr, markdown, rmarkdown |
Published: |
2021-07-19 |
Author: |
Guillermo Vinue |
Maintainer: |
Guillermo Vinue <Guillermo.Vinue at uv.es> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://www.R-project.org, https://www.uv.es/vivigui/,
https://www.uv.es/vivigui/AppEuroACB.html |
NeedsCompilation: |
no |
Materials: |
NEWS |
In views: |
SportsAnalytics |
CRAN checks: |
BAwiR results |
Documentation:
Downloads:
Linking:
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