do_preproc_period

Preprocess the data that will be needed for computing statistics per period.

Collection of tools to work with European basketball data. Functions available are related to friendly
web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>,
<https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions
of their respectives robots.txt files, when available. Box score data are available for the three leagues.
Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis 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,
maps of nationalities, combinations of lineups, possessions-related variables, timeouts,
performance by periods, personal fouls, offensive rebounds and different types of shooting charts.
Please see Vinue (2020) <doi:10.1089/big.2018.0124> and Vinue (2024) <doi:10.1089/big.2023.0177>.

Guillermo Vinue

BAwiR

Analysis of Basketball Data

do_preproc_period function

<dl><dt>data</dt>
<dd>Prepared data from a given game.</dd>
<dt>team_sel</dt>
<dd>One of the teams' names involved in the game.</dd>
<dt>period_sel</dt>
<dd>Period of interest. Options can be "xC", where x=1,2,3,4.</dd>
<dt>data_sl</dt>
<dd>Data with the starting lineups.</dd></dl>

Arguments

Author

Data preprocessing for periods — do_preproc_period

<dl>

<dt>data</dt>
<dd>Prepared data from a given game.</dd>


<dt>team_sel</dt>
<dd>One of the teams' names involved in the game.</dd>


<dt>period_sel</dt>
<dd>Period of interest. Options can be "xC", where x=1,2,3,4.</dd>


<dt>data_sl</dt>
<dd>Data with the starting lineups.</dd>

</dl>

do_preproc_period: Data preprocessing for periods

Description

Usage

Arguments

Author

Examples