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Data Manipulation in SQL

Here you can access every table used in the course. To access each table, you will need to specify the soccer schema in your queries (e.g., soccer.match for the match table, and soccer.league for the league table).

Take Notes

Add notes about the concepts you've learned and SQL cells with queries you want to keep.

Add your notes here

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DataFrameas
df
variable
SELECT
		 stage AS s,
         AVG(home_goal + away_goal) AS avg_goals
	 FROM soccer.match
	 WHERE season = '2012/2013'
	 GROUP BY stage;
Hidden output
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DataFrameas
df
variable
-- Add your own queries here
SELECT *
FROM soccer.match
LIMIT 5

Explore Datasets

Use the match, league, and country tables to explore the data and practice your skills!

  • Use the match, league, and country tables to return the number of matches played in Great Britain versus elsewhere in the world.
    • "England", "Scotland", and "Wales" should be categorized as "Great Britain"
    • All other leagues will need to be categorized as "World".
  • Use the match and country tables to return the countries in which the average number of goals (home and away goals) scored are greater than the average number of goals of all matches.
  • In a soccer league, points are assigned to teams based on the result of a game. Here, let's assume that 3 points are awarded for a win, 1 for a tie, and 0 for a defeat. Use the match table to calculate the running total of points earned by the team "Chelsea" (team id 8455) in the season "2014/2015".
    • The final output should have the match date, the points earned by Chelsea, and the running total.
2 hidden cells
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DataFrameas
df3
variable
WITH Chelsea_matches AS (
    SELECT m.home_goal, m.away_goal, m.date, 
		CASE
			WHEN m.hometeam_id = 8455 THEN 'Local'
			WHEN m.awayteam_id = 8455 THEN 'Visitante'
		END AS "Condicion de Localia"
    FROM soccer.match m
    WHERE (m.hometeam_id = 8455 OR m.awayteam_id = 8455)
          AND m.date BETWEEN '2014-01-01' AND '2015-12-31')

select *, CASE 	
			WHEN home_goal > away_goal AND "Condicion de Localia" = 'Local' THEN 3
			WHEN home_goal < away_goal AND "Condicion de Localia" = 'Visitante' THEN 3
			WHEN home_goal = away_goal THEN 1
			ELSE 0
		  END AS Puntos,
		
		  SUM(CASE
            WHEN home_goal > away_goal AND "Condicion de Localia" = 'Local' THEN 3
            WHEN home_goal < away_goal AND "Condicion de Localia" = 'Visitante' THEN 3
			WHEN home_goal = away_goal THEN 1
            ELSE 0
        END) OVER (ORDER BY date) AS puntos_acumulados
from Chelsea_matches