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 <>, <> and <>, 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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: SportsAnalytics
CRAN checks: BAwiR results


Reference manual: BAwiR.pdf
Vignettes: Visualization of European basketball data


Package source: BAwiR_1.2.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BAwiR_1.2.7.tgz, r-oldrel (arm64): BAwiR_1.2.7.tgz, r-release (x86_64): BAwiR_1.2.7.tgz, r-oldrel (x86_64): BAwiR_1.2.7.tgz
Old sources: BAwiR archive


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