Top, middle, and bottom thirds
Splitting your data into thirds or quartiles is often useful to understand how the values in your dataset are spread. Getting summary statistics (averages, sums, standard deviations, etc.) of the top, middle, and bottom thirds can help you determine what distribution your values follow.
Deze oefening maakt deel uit van de cursus
PostgreSQL Summary Stats and Window Functions
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
WITH Athlete_Medals AS (
SELECT Athlete, COUNT(*) AS Medals
FROM Summer_Medals
GROUP BY Athlete
HAVING COUNT(*) > 1)
SELECT
Athlete,
Medals,
-- Split athletes into thirds by their earned medals
___ ___ ___ AS Third
FROM Athlete_Medals
ORDER BY Medals DESC, Athlete ASC;