映画をグループ化する

SQLで進めるデータドリブンな意思決定

Bart Baesens

Professor Data Science and Analytics

GROUP BY の用途

国や性別ごとの顧客の嗜好。
ジャンルや公開年ごとの映画の人気。
ジャンルごとの映画の平均価格。

テーブル: movies_selected

GROUP BY

SELECT genre
FROM movies_selected
GROUP BY genre;

| genre       |
|-------------|
| Drama       |
| Fantasy     |
| Sci-Fiction |
| Animation   |
| Romance     |

平均レンタル価格

SELECT genre, 
       AVG(renting_price) AS avg_price
FROM movies_selected
GROUP BY genre;

| genre       | avg_price   |
|-------------|-------------|
| Drama       | 2.865       |
| Fantasy     | 2.69        |
| Sci-Fiction | 2.87        |
| Animation   | 2.923333333 |
| Romance     | 2.99        |

movies_selected テーブル

movies_selected テーブルの分割

平均レンタル価格と本数

SELECT genre, 
       AVG(renting_price) AS avg_price, 
       COUNT(*) AS number_movies
FROM movies_selected
GROUP BY genre

| genre       | avg_price     | number_movies |
|-------------|---------------|---------------|
| Drama       | 2.865         | 4             |
| Fantasy     | 2.69          | 3             |
| Sci-Fiction | 2.87          | 2             |
| Animation   | 2.923333333   | 3             |
| Romance     | 2.99          | 1             |

HAVING 句

SELECT genre, 
       AVG(renting_price) avg_price, 
       COUNT(*) number_movies
FROM movies
GROUP BY genre
HAVING COUNT(*) > 2;

| genre     | avg_price     | number_movies |
|-----------|---------------|---------------|
| Drama     | 2.865         | 4             |
| Fantasy   | 2.69          | 3             |
| Animation | 2.923333333   | 3             |

演習に進みましょう！

SQLで進めるデータドリブンな意思決定