Grouping movies

Data-Driven Decision Making in SQL

Bart Baesens

Professor Data Science and Analytics

GROUP BY Applications

Preferences of customers by country or gender.
The popularity of movies by genre or year of release.
The average price of movies by genre.

Table: movies_selected

GROUP BY

SELECT genre
FROM movies_selected
GROUP BY genre;

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

Average renting price

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 table

movies_selected table split

Average rental price and number of movies

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

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             |

Let's practice!

Data-Driven Decision Making in SQL