do_join_games_bio

This function calls the needed ancillary functions to join the games played 
by all the players in the desired competition (currently ACB, Euroleague
and Eurocup) with their personal details.

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_join_games_bio function

<dl><dt>competition</dt>
<dd>String. Options are "ACB", "Euroleague" and "Eurocup".</dd>
<dt>df_games</dt>
<dd>Data frame with the games.</dd>
<dt>df_rosters</dt>
<dd>Data frame with the biography of the roster players.</dd></dl>

Arguments

Author

Join games and players' info — do_join_games_bio

<dl>

<dt>competition</dt>
<dd>String. Options are "ACB", "Euroleague" and "Eurocup".</dd>


<dt>df_games</dt>
<dd>Data frame with the games.</dd>


<dt>df_rosters</dt>
<dd>Data frame with the biography of the roster players.</dd>

</dl>

do_join_games_bio: Join games and players' info

Description

Usage

Value

Arguments

Author

See Also

Examples