do_prepare_data_to

The computation of the successful timeouts requires a specific data
preparation. This function does this data processing.

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 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 and offensive rebounds.
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_prepare_data_to function

<dl><dt>data</dt>
<dd>Source play-by-play data from a given game.</dd>
<dt>rm_overtime</dt>
<dd>Logical. Decide to remove overtimes or not.</dd>
<dt>data_ginfo</dt>
<dd>Games' basic information.</dd>
<dt>data_gcoach</dt>
<dd>Coach of each team in each day.</dd></dl>

Arguments

Author

Prepare data for the timeouts computation — do_prepare_data_to

<dl>

<dt>data</dt>
<dd>Source play-by-play data from a given game.</dd>


<dt>rm_overtime</dt>
<dd>Logical. Decide to remove overtimes or not.</dd>


<dt>data_ginfo</dt>
<dd>Games' basic information.</dd>


<dt>data_gcoach</dt>
<dd>Coach of each team in each day.</dd>

</dl>

do_prepare_data_to: Prepare data for the timeouts computation

Description

Usage

Value

Arguments

Author

See Also

Examples