stiti/SAE_2.04
stiti/SAE_2.04
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stiti 2024-06-12 20:23:52 +02:00
parent f0ed2f186f
commit 6d799b5bcc
3 changed files with 20 additions and 19 deletions
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21
EXO1/README.md
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@ -91,7 +91,7 @@ metiers = tabul(csvString(:,5),"i") //récupère
[occu,indice] = gsort(metiers(2)) //donne la liste des occurence trié ainsi que l'indice que son indice avant le tri [occu,indice] = gsort(metiers(2)) //donne la liste des occurence trié ainsi que l'indice que son indice avant le tri
profession = metiers(1) //stock la liste des profession dans une variable profession = metiers(1) //stock la liste des profession dans une variable
matrice_occurence = [occu(1:1),occu(2:2),occu(3:3),occu(4:4),occu(5:5),occu(6:6),occu(7:7),occu(8:8),occu(9:9),occu(10:10)] matrice_occurence = [occu(1:1),occu(2:2),occu(3:3),occu(4:4),occu(5:5),occu(6:6),occu(7:7),occu(8:8),occu(9:9),occu(10:10)]
bar(matrice_occurence) //affiche l'histogramme des 10 professions avec le plus de monde bar(1,matrice_occurence) //affiche l'histogramme des 10 professions avec le plus de monde
legend(profession(indice(1:10))) //légende le graphe pour donner un nom à chaque colonne legend(profession(indice(1:10))) //légende le graphe pour donner un nom à chaque colonne
``` ```
@ -207,28 +207,28 @@ mean(exp_p) //13.915267
```scilab ```scilab
indice_6_female = find(csvString(:,3) == "Female" ) indice_6_female = find(csvString(:,3) == "Female" )
salaire_6_female = csvDouble(indice_6_female,7) salaire_6_female = csvDouble(indice_6_female,7)
mean(salaire_6_female) //107889.00 mean(salaire_6_female)
age_6_female = csvDouble(indice_6_female,2) age_6_female = csvDouble(indice_6_female,2)
mean(age_6_female) //32.626286 mean(age_6_female)
exp_6_female = csvDouble(indice_6_female,6) exp_6_female = csvDouble(indice_6_female,6)
mean(exp_6_female) //7.4201792 mean(exp_6_female)
indice_6_male = find(csvString(:,3) == "Male" ) indice_6_male = find(csvString(:,3) == "Male" )
salaire_6_male = csvDouble(indice_6_male,7) salaire_6_male = csvDouble(indice_6_male,7)
mean(salaire_6_male) //121389.87 mean(salaire_6_male)
age_6_male = csvDouble(indice_6_male,2) age_6_male = csvDouble(indice_6_male,2)
mean(age_6_male) //34.416394 mean(age_6_male)
exp_6_male = csvDouble(indice_6_male,6) exp_6_male = csvDouble(indice_6_male,6)
mean(exp_6_male) //8.6169662 mean(exp_6_male)
indice_6_other = find(csvString(:,3) == "Other" ) indice_6_other = find(csvString(:,3) == "Other" )
salaire_6_other = csvDouble(indice_6_other,7) salaire_6_other = csvDouble(indice_6_other,7)
mean(salaire_6_other) //125869.86 mean(salaire_6_other)
age_6_other = csvDouble(indice_6_other,2) age_6_other = csvDouble(indice_6_other,2)
mean(age_6_other) //39.571429 mean(age_6_other)
exp_6_other = csvDouble(indice_6_other,6) exp_6_other = csvDouble(indice_6_other,6)
mean(exp_6_other) //16.428571 mean(exp_6_other)
``` ```
**Résultat :** **Résultat :**
@ -248,6 +248,7 @@ mean(exp_6_other) //16.428571
- Âge moyen : 39.57 ans - Âge moyen : 39.57 ans
- Expérience moyenne : 16.43 ans - Expérience moyenne : 16.43 ans
⚠️ Les résultats sont arrondis ! ⚠️
--- ---

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18
EXO1/scripts/q6.sce
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@ -1,24 +1,24 @@
indice_6_female = find(csvString(:,3) == "Female" ) indice_6_female = find(csvString(:,3) == "Female" )
salaire_6_female = csvDouble(indice_6_female,7) salaire_6_female = csvDouble(indice_6_female,7)
mean(salaire_6_female) //107889.00 mean(salaire_6_female)
age_6_female = csvDouble(indice_6_female,2) age_6_female = csvDouble(indice_6_female,2)
mean(age_6_female) //32.626286 mean(age_6_female)
exp_6_female = csvDouble(indice_6_female,6) exp_6_female = csvDouble(indice_6_female,6)
mean(exp_6_female) //7.4201792 mean(exp_6_female)
indice_6_male = find(csvString(:,3) == "Male" ) indice_6_male = find(csvString(:,3) == "Male" )
salaire_6_male = csvDouble(indice_6_male,7) salaire_6_male = csvDouble(indice_6_male,7)
mean(salaire_6_male) //121389.87 mean(salaire_6_male)
age_6_male = csvDouble(indice_6_male,2) age_6_male = csvDouble(indice_6_male,2)
mean(age_6_male) //34.416394 mean(age_6_male)
exp_6_male = csvDouble(indice_6_male,6) exp_6_male = csvDouble(indice_6_male,6)
mean(exp_6_male) //8.6169662 mean(exp_6_male)
indice_6_other = find(csvString(:,3) == "Other" ) indice_6_other = find(csvString(:,3) == "Other" )
salaire_6_other = csvDouble(indice_6_other,7) salaire_6_other = csvDouble(indice_6_other,7)
mean(salaire_6_other) //125869.86 mean(salaire_6_other)
age_6_other = csvDouble(indice_6_other,2) age_6_other = csvDouble(indice_6_other,2)
mean(age_6_other) //39.571429 mean(age_6_other)
exp_6_other = csvDouble(indice_6_other,6) exp_6_other = csvDouble(indice_6_other,6)
mean(exp_6_other) //16.428571 mean(exp_6_other)