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Exercice

Université
2025-09-07 13:49:16 +02:00
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Home.md

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## Exercices ## Exercices
### Jointures ### Agrégation
- Compter le nombre d'adhérents. [voir](aggregation.md#compter)
- Afficher le nombre de codes postaux différents trouvés dans la table adhérent. [voir](aggregation.md#distinct)
- Calculer le chiffre d'affaire global [voir](aggregation.md#somme)
- Calculer le montant de chaque ticket
- Lister les articles dont la famille n'existe pas. ### Jointures
- Lister les articles dont la famille n'existe pas [voir](Jointure.md#jointure-dexclusion).
### Vues
- Créer une vue _ticket_complet_ qui agrège les informations du ticket et le calcul du montant total de ce ticket
Arrondir les montant à deux chiffres après la virgule. Arrondir les montant à deux chiffres après la virgule.

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View.md

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Elle n’enregistre pas physiquement les données, mais seulement **la définition** de la requête. Elle n’enregistre pas physiquement les données, mais seulement **la définition** de la requête.
**Exercice :** créer une vue _ticket_complet_ qui agrège les informations du ticket et le calcul du montant total de ce ticket
```sql ```sql
create view ticket_complet as create view ticket_complet as
select t.id, t.adherent_id, t.date_ticket, select t.id, t.adherent_id, t.date_ticket,

2
aggregation.md

@@ -141,7 +141,7 @@ Calcule la somme des valeurs d'une colonne numérique.
SELECT SUM(vente) FROM ticket; SELECT SUM(vente) FROM ticket;
``` ```
- 2 : Calculer le chiffre d’affaires global. (1 914 792.40) **Exercice :** Calculer le chiffre d’affaires global. (1 914 792.40)
```sql ```sql
select round(sum(quantite * prix_unitaire), 2) as chiffre_affaire from ligne; select round(sum(quantite * prix_unitaire), 2) as chiffre_affaire from ligne;

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4
linear_regression.md

@@ -13,9 +13,7 @@ La régression linéaire simple cherche une droite : y = a⋅x + b
`REGR_INTERCEPT(y, x)` Calcule l’ordonnée à l’origine (b). `REGR_INTERCEPT(y, x)` Calcule l’ordonnée à l’origine (b).
`REGR_R2(y, x)` Coefficient de détermination (entre 0 et 1). `REGR_R2(y, x)` Coefficient de détermination (entre 0 et 1), soit la qualité de l’ajustement :
Mesure la qualité de l’ajustement :
- 1 : la droite explique parfaitement les données, - 1 : la droite explique parfaitement les données,
- 0 : aucun lien linéaire, - 0 : aucun lien linéaire,