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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).

Note: When using sample databases such as those that contain course data, you have read-only access. You can run queries, but cannot make any changes such as adding, deleting, or modifying the data (e.g., creating tables, views, etc.).

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

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DataFrameas
df
variable
-- Identify the home team as Bayern Munich, Schalke 04, or neither
SELECT 
	CASE WHEN hometeam_id = 10189 THEN 'FC Schalke 04'
        WHEN hometeam_id = 9823 THEN 'FC Bayern Munich'
         ELSE 'Other' END AS home_team,
	COUNT(id) AS total_matches
FROM matches_germany
-- Group by the CASE statement alias
GROUP BY home_team;
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-- Select matches where Barcelona was the away team
SELECT  
	m.date,
	t.team_long_name AS opponent,
	CASE WHEN m.home_goal < away_goal THEN 'Barcelona win!'
        WHEN m.home_goal > away_goal THEN 'Barcelona loss :(' 
        ELSE 'Tie' END AS outcome
FROM matches_spain AS m
-- Join teams_spain to matches_spain
LEFT JOIN teams_spain AS t 
ON m.hometeam_id = t.team_api_id
WHERE m.awayteam_id = 8634;
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