Jfjelstul Worldcup Data-sqlite -

This query sorts the data by attendance in descending order and returns the top 10 matches with the highest attendance.

# Connect to the database conn = sqlite3.connect("worldcup.db") jfjelstul worldcup data-sqlite

SELECT trn.year, trn.host_country, COUNT(m.match_id) AS total_matches, SUM(m.extra_time) AS extra_time_games, SUM(m.penalty_shootout) AS penalty_shootouts, ROUND((SUM(m.extra_time) * 100.0 / COUNT(m.match_id)), 2) AS pct_drawn_regulation FROM matches m JOIN tournaments trn ON m.tournament_id = trn.tournament_id GROUP BY trn.tournament_id ORDER BY trn.year DESC; Use code with caution. 3. Team Dominance Matrix This query sorts the data by attendance in

While originally packaged as an R library ( worldcup ), converting this relational powerhouse into an maximizes local performance. This guide covers how to set up the data architecture, structure the database, and execute complex SQL analytics. 🛠 Database Architecture & Schema Setup Team Dominance Matrix While originally packaged as an

SELECT year, COUNT(*) as num_matches FROM worldcup GROUP BY year ORDER BY year;