diff --git "a/notebooks/01_analyse_exploratoire.ipynb" "b/notebooks/01_analyse_exploratoire.ipynb" new file mode 100644--- /dev/null +++ "b/notebooks/01_analyse_exploratoire.ipynb" @@ -0,0 +1,3191 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "008ababc-edfe-455f-8e68-f4072cedaabf", + "metadata": {}, + "source": [ + "# Project 4 - Identifiez les causes d'attrition au sein d'une ESN" + ] + }, + { + "cell_type": "markdown", + "id": "030cfefb-fdbe-47bb-9665-8a8cfd74e771", + "metadata": {}, + "source": [ + "# Etape 1 : Analyse exploratoire\n", + "**Objectif**: comprendre les données et identifier les variables clés\n", + "\n", + "**Contenu:**\n", + "- Chargement des fichiers `extrait_sirh.csv` / `extrait_eval.csv`/ `extrait_sondage.csv`\n", + "- Aperçu général `df.head(), df.info(), df.describe()`\n", + "- Gestion des valeurs manquantes\n", + "- Visualisations (`seaborn, matplotlib`)\n", + "- Comparaisons : employés partis vs restés\n", + "- Premiers insights RH" + ] + }, + { + "cell_type": "markdown", + "id": "e22ed08a-5365-430c-a7e3-694e2ca0c8d8", + "metadata": {}, + "source": [ + "### Source\n", + "- `extrait_sirh.csv` - les données de la systeme enterne SIRH de base (age, service, ancienneté, etc.)\n", + "- `extrait_eval.csv`- les évaluations annuelles de performance\n", + "- `extrait_sondage.csv`- le sondage de satisfaction pour le bien-être des employés" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "789fe9b7-f01b-43f9-9aa9-e35c48ab0c11", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "markdown", + "id": "01222606-a447-4732-91e2-b213d289752e", + "metadata": {}, + "source": [ + "## Effectuez une analyse exploratoire des fichiers de donées" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "1d0bb2cf-9dba-4a41-aeb6-0cf4ffa26496", + "metadata": {}, + "outputs": [], + "source": [ + "# Chargement des fichiers\n", + "sirh = pd.read_csv(\"../data/extrait_sirh.csv\")\n", + "evals = pd.read_csv(\"../data/extrait_eval.csv\")\n", + "sondage = pd.read_csv(\"../data/extrait_sondage.csv\")" + ] + }, + { + "cell_type": "markdown", + "id": "2720f707-e402-4f69-ade2-cb375872e548", + "metadata": {}, + "source": [ + "### 1. Compréhension et nettoyage des donées\n", + "*Objectif* : identifier les types de colonnes (quantitatives / qualitatives)" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "27168698-3d25-4ef4-b7c6-6837ff8bd377", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SIRH\n", + "\n", + "RangeIndex: 1470 entries, 0 to 1469\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 id_employee 1470 non-null int64 \n", + " 1 age 1470 non-null int64 \n", + " 2 genre 1470 non-null object\n", + " 3 revenu_mensuel 1470 non-null int64 \n", + " 4 statut_marital 1470 non-null object\n", + " 5 departement 1470 non-null object\n", + " 6 poste 1470 non-null object\n", + " 7 nombre_experiences_precedentes 1470 non-null int64 \n", + " 8 nombre_heures_travailless 1470 non-null int64 \n", + " 9 annee_experience_totale 1470 non-null int64 \n", + " 10 annees_dans_l_entreprise 1470 non-null int64 \n", + " 11 annees_dans_le_poste_actuel 1470 non-null int64 \n", + "dtypes: int64(8), object(4)\n", + "memory usage: 137.9+ KB\n", + "None\n", + " id_employee age genre revenu_mensuel statut_marital departement \\\n", + "0 1 41 F 5993 Célibataire Commercial \n", + "1 2 49 M 5130 Marié(e) Consulting \n", + "2 4 37 M 2090 Célibataire Consulting \n", + "\n", + " poste nombre_experiences_precedentes \\\n", + "0 Cadre Commercial 8 \n", + "1 Assistant de Direction 1 \n", + "2 Consultant 6 \n", + "\n", + " nombre_heures_travailless annee_experience_totale \\\n", + "0 80 8 \n", + "1 80 10 \n", + "2 80 7 \n", + "\n", + " annees_dans_l_entreprise annees_dans_le_poste_actuel \n", + "0 6 4 \n", + "1 10 7 \n", + "2 0 0 \n", + "Valeur manquantes par colonne:\n", + "id_employee 0\n", + "age 0\n", + "genre 0\n", + "revenu_mensuel 0\n", + "statut_marital 0\n", + "departement 0\n", + "poste 0\n", + "nombre_experiences_precedentes 0\n", + "nombre_heures_travailless 0\n", + "annee_experience_totale 0\n", + "annees_dans_l_entreprise 0\n", + "annees_dans_le_poste_actuel 0\n", + "dtype: int64\n", + "Statistiques descriptives: \n", + " id_employee age genre revenu_mensuel statut_marital \\\n", + "count 1470.000000 1470.000000 1470 1470.000000 1470 \n", + "unique NaN NaN 2 NaN 3 \n", + "top NaN NaN M NaN Marié(e) \n", + "freq NaN NaN 882 NaN 673 \n", + "mean 1024.865306 36.923810 NaN 6502.931293 NaN \n", + "std 602.024335 9.135373 NaN 4707.956783 NaN \n", + "min 1.000000 18.000000 NaN 1009.000000 NaN \n", + "25% 491.250000 30.000000 NaN 2911.000000 NaN \n", + "50% 1020.500000 36.000000 NaN 4919.000000 NaN \n", + "75% 1555.750000 43.000000 NaN 8379.000000 NaN \n", + "max 2068.000000 60.000000 NaN 19999.000000 NaN \n", + "\n", + " departement poste nombre_experiences_precedentes \\\n", + "count 1470 1470 1470.000000 \n", + "unique 3 9 NaN \n", + "top Consulting Cadre Commercial NaN \n", + "freq 961 326 NaN \n", + "mean NaN NaN 2.693197 \n", + "std NaN NaN 2.498009 \n", + "min NaN NaN 0.000000 \n", + "25% NaN NaN 1.000000 \n", + "50% NaN NaN 2.000000 \n", + "75% NaN NaN 4.000000 \n", + "max NaN NaN 9.000000 \n", + "\n", + " nombre_heures_travailless annee_experience_totale \\\n", + "count 1470.0 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 80.0 11.279592 \n", + "std 0.0 7.780782 \n", + "min 80.0 0.000000 \n", + "25% 80.0 6.000000 \n", + "50% 80.0 10.000000 \n", + "75% 80.0 15.000000 \n", + "max 80.0 40.000000 \n", + "\n", + " annees_dans_l_entreprise annees_dans_le_poste_actuel \n", + "count 1470.000000 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 7.008163 4.229252 \n", + "std 6.126525 3.623137 \n", + "min 0.000000 0.000000 \n", + "25% 3.000000 2.000000 \n", + "50% 5.000000 3.000000 \n", + "75% 9.000000 7.000000 \n", + "max 40.000000 18.000000 \n", + "Types de données :\n", + "int64 8\n", + "object 4\n", + "Name: count, dtype: int64\n", + "\n", + "Variables quantitatives (8): ['id_employee', 'age', 'revenu_mensuel', 'nombre_experiences_precedentes', 'nombre_heures_travailless', 'annee_experience_totale', 'annees_dans_l_entreprise', 'annees_dans_le_poste_actuel']\n", + "Variables qualitatives (4): ['genre', 'statut_marital', 'departement', 'poste']\n", + "EVAL\n", + "\n", + "RangeIndex: 1470 entries, 0 to 1469\n", + "Data columns (total 10 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 satisfaction_employee_environnement 1470 non-null int64 \n", + " 1 note_evaluation_precedente 1470 non-null int64 \n", + " 2 niveau_hierarchique_poste 1470 non-null int64 \n", + " 3 satisfaction_employee_nature_travail 1470 non-null int64 \n", + " 4 satisfaction_employee_equipe 1470 non-null int64 \n", + " 5 satisfaction_employee_equilibre_pro_perso 1470 non-null int64 \n", + " 6 eval_number 1470 non-null object\n", + " 7 note_evaluation_actuelle 1470 non-null int64 \n", + " 8 heure_supplementaires 1470 non-null object\n", + " 9 augementation_salaire_precedente 1470 non-null object\n", + "dtypes: int64(7), object(3)\n", + "memory usage: 115.0+ KB\n", + "None\n", + " satisfaction_employee_environnement note_evaluation_precedente \\\n", + "0 2 3 \n", + "1 3 2 \n", + "2 4 2 \n", + "\n", + " niveau_hierarchique_poste satisfaction_employee_nature_travail \\\n", + "0 2 4 \n", + "1 2 2 \n", + "2 1 3 \n", + "\n", + " satisfaction_employee_equipe satisfaction_employee_equilibre_pro_perso \\\n", + "0 1 1 \n", + "1 4 3 \n", + "2 2 3 \n", + "\n", + " eval_number note_evaluation_actuelle heure_supplementaires \\\n", + "0 E_1 3 Oui \n", + "1 E_2 4 Non \n", + "2 E_4 3 Oui \n", + "\n", + " augementation_salaire_precedente \n", + "0 11 % \n", + "1 23 % \n", + "2 15 % \n", + "Valeur manquantes par colonne:\n", + "satisfaction_employee_environnement 0\n", + "note_evaluation_precedente 0\n", + "niveau_hierarchique_poste 0\n", + "satisfaction_employee_nature_travail 0\n", + "satisfaction_employee_equipe 0\n", + "satisfaction_employee_equilibre_pro_perso 0\n", + "eval_number 0\n", + "note_evaluation_actuelle 0\n", + "heure_supplementaires 0\n", + "augementation_salaire_precedente 0\n", + "dtype: int64\n", + "Statistiques descriptives: \n", + " satisfaction_employee_environnement note_evaluation_precedente \\\n", + "count 1470.000000 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 2.721769 2.729932 \n", + "std 1.093082 0.711561 \n", + "min 1.000000 1.000000 \n", + "25% 2.000000 2.000000 \n", + "50% 3.000000 3.000000 \n", + "75% 4.000000 3.000000 \n", + "max 4.000000 4.000000 \n", + "\n", + " niveau_hierarchique_poste satisfaction_employee_nature_travail \\\n", + "count 1470.000000 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 2.063946 2.728571 \n", + "std 1.106940 1.102846 \n", + "min 1.000000 1.000000 \n", + "25% 1.000000 2.000000 \n", + "50% 2.000000 3.000000 \n", + "75% 3.000000 4.000000 \n", + "max 5.000000 4.000000 \n", + "\n", + " satisfaction_employee_equipe \\\n", + "count 1470.000000 \n", + "unique NaN \n", + "top NaN \n", + "freq NaN \n", + "mean 2.712245 \n", + "std 1.081209 \n", + "min 1.000000 \n", + "25% 2.000000 \n", + "50% 3.000000 \n", + "75% 4.000000 \n", + "max 4.000000 \n", + "\n", + " satisfaction_employee_equilibre_pro_perso eval_number \\\n", + "count 1470.000000 1470 \n", + "unique NaN 1470 \n", + "top NaN E_1 \n", + "freq NaN 1 \n", + "mean 2.761224 NaN \n", + "std 0.706476 NaN \n", + "min 1.000000 NaN \n", + "25% 2.000000 NaN \n", + "50% 3.000000 NaN \n", + "75% 3.000000 NaN \n", + "max 4.000000 NaN \n", + "\n", + " note_evaluation_actuelle heure_supplementaires \\\n", + "count 1470.000000 1470 \n", + "unique NaN 2 \n", + "top NaN Non \n", + "freq NaN 1054 \n", + "mean 3.153741 NaN \n", + "std 0.360824 NaN \n", + "min 3.000000 NaN \n", + "25% 3.000000 NaN \n", + "50% 3.000000 NaN \n", + "75% 3.000000 NaN \n", + "max 4.000000 NaN \n", + "\n", + " augementation_salaire_precedente \n", + "count 1470 \n", + "unique 15 \n", + "top 11 % \n", + "freq 210 \n", + "mean NaN \n", + "std NaN \n", + "min NaN \n", + "25% NaN \n", + "50% NaN \n", + "75% NaN \n", + "max NaN \n", + "Types de données :\n", + "int64 7\n", + "object 3\n", + "Name: count, dtype: int64\n", + "\n", + "Variables quantitatives (7): ['satisfaction_employee_environnement', 'note_evaluation_precedente', 'niveau_hierarchique_poste', 'satisfaction_employee_nature_travail', 'satisfaction_employee_equipe', 'satisfaction_employee_equilibre_pro_perso', 'note_evaluation_actuelle']\n", + "Variables qualitatives (3): ['eval_number', 'heure_supplementaires', 'augementation_salaire_precedente']\n", + "SONDAGE\n", + "\n", + "RangeIndex: 1470 entries, 0 to 1469\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 a_quitte_l_entreprise 1470 non-null object\n", + " 1 nombre_participation_pee 1470 non-null int64 \n", + " 2 nb_formations_suivies 1470 non-null int64 \n", + " 3 nombre_employee_sous_responsabilite 1470 non-null int64 \n", + " 4 code_sondage 1470 non-null int64 \n", + " 5 distance_domicile_travail 1470 non-null int64 \n", + " 6 niveau_education 1470 non-null int64 \n", + " 7 domaine_etude 1470 non-null object\n", + " 8 ayant_enfants 1470 non-null object\n", + " 9 frequence_deplacement 1470 non-null object\n", + " 10 annees_depuis_la_derniere_promotion 1470 non-null int64 \n", + " 11 annes_sous_responsable_actuel 1470 non-null int64 \n", + "dtypes: int64(8), object(4)\n", + "memory usage: 137.9+ KB\n", + "None\n", + " a_quitte_l_entreprise nombre_participation_pee nb_formations_suivies \\\n", + "0 Oui 0 0 \n", + "1 Non 1 3 \n", + "2 Oui 0 3 \n", + "\n", + " nombre_employee_sous_responsabilite code_sondage \\\n", + "0 1 1 \n", + "1 1 2 \n", + "2 1 4 \n", + "\n", + " distance_domicile_travail niveau_education domaine_etude ayant_enfants \\\n", + "0 1 2 Infra & Cloud Y \n", + "1 8 1 Infra & Cloud Y \n", + "2 2 2 Autre Y \n", + "\n", + " frequence_deplacement annees_depuis_la_derniere_promotion \\\n", + "0 Occasionnel 0 \n", + "1 Frequent 1 \n", + "2 Occasionnel 0 \n", + "\n", + " annes_sous_responsable_actuel \n", + "0 5 \n", + "1 7 \n", + "2 0 \n", + "Valeur manquantes par colonne:\n", + "a_quitte_l_entreprise 0\n", + "nombre_participation_pee 0\n", + "nb_formations_suivies 0\n", + "nombre_employee_sous_responsabilite 0\n", + "code_sondage 0\n", + "distance_domicile_travail 0\n", + "niveau_education 0\n", + "domaine_etude 0\n", + "ayant_enfants 0\n", + "frequence_deplacement 0\n", + "annees_depuis_la_derniere_promotion 0\n", + "annes_sous_responsable_actuel 0\n", + "dtype: int64\n", + "Statistiques descriptives: \n", + " a_quitte_l_entreprise nombre_participation_pee nb_formations_suivies \\\n", + "count 1470 1470.000000 1470.000000 \n", + "unique 2 NaN NaN \n", + "top Non NaN NaN \n", + "freq 1233 NaN NaN \n", + "mean NaN 0.793878 2.799320 \n", + "std NaN 0.852077 1.289271 \n", + "min NaN 0.000000 0.000000 \n", + "25% NaN 0.000000 2.000000 \n", + "50% NaN 1.000000 3.000000 \n", + "75% NaN 1.000000 3.000000 \n", + "max NaN 3.000000 6.000000 \n", + "\n", + " nombre_employee_sous_responsabilite code_sondage \\\n", + "count 1470.0 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 1.0 1024.865306 \n", + "std 0.0 602.024335 \n", + "min 1.0 1.000000 \n", + "25% 1.0 491.250000 \n", + "50% 1.0 1020.500000 \n", + "75% 1.0 1555.750000 \n", + "max 1.0 2068.000000 \n", + "\n", + " distance_domicile_travail niveau_education domaine_etude \\\n", + "count 1470.000000 1470.000000 1470 \n", + "unique NaN NaN 6 \n", + "top NaN NaN Infra & Cloud \n", + "freq NaN NaN 606 \n", + "mean 9.192517 2.912925 NaN \n", + "std 8.106864 1.024165 NaN \n", + "min 1.000000 1.000000 NaN \n", + "25% 2.000000 2.000000 NaN \n", + "50% 7.000000 3.000000 NaN \n", + "75% 14.000000 4.000000 NaN \n", + "max 29.000000 5.000000 NaN \n", + "\n", + " ayant_enfants frequence_deplacement \\\n", + "count 1470 1470 \n", + "unique 1 3 \n", + "top Y Occasionnel \n", + "freq 1470 1043 \n", + "mean NaN NaN \n", + "std NaN NaN \n", + "min NaN NaN \n", + "25% NaN NaN \n", + "50% NaN NaN \n", + "75% NaN NaN \n", + "max NaN NaN \n", + "\n", + " annees_depuis_la_derniere_promotion annes_sous_responsable_actuel \n", + "count 1470.000000 1470.000000 \n", + "unique NaN NaN \n", + "top NaN NaN \n", + "freq NaN NaN \n", + "mean 2.187755 4.123129 \n", + "std 3.222430 3.568136 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 2.000000 \n", + "50% 1.000000 3.000000 \n", + "75% 3.000000 7.000000 \n", + "max 15.000000 17.000000 \n", + "Types de données :\n", + "int64 8\n", + "object 4\n", + "Name: count, dtype: int64\n", + "\n", + "Variables quantitatives (8): ['nombre_participation_pee', 'nb_formations_suivies', 'nombre_employee_sous_responsabilite', 'code_sondage', 'distance_domicile_travail', 'niveau_education', 'annees_depuis_la_derniere_promotion', 'annes_sous_responsable_actuel']\n", + "Variables qualitatives (4): ['a_quitte_l_entreprise', 'domaine_etude', 'ayant_enfants', 'frequence_deplacement']\n" + ] + } + ], + "source": [ + "for name, df in {\"SIRH\": sirh, \"EVAL\": evals, \"SONDAGE\": sondage}.items():\n", + " print (f\"{name}\")\n", + " print(df.info())\n", + " print(df.head(3))\n", + " print(\"Valeur manquantes par colonne:\")\n", + " print (df.isnull().sum())\n", + " print(\"Statistiques descriptives: \")\n", + " print(df.describe(include='all'))\n", + "\n", + " # Comptage des types de données\n", + " type_counts = df.dtypes.value_counts()\n", + " print(\"Types de données :\")\n", + " print(type_counts)\n", + " \n", + " # Classification simplifiée : quanti / quali\n", + " quanti = df.select_dtypes(include=[np.number]).columns.tolist()\n", + " quali = df.select_dtypes(exclude=[np.number]).columns.tolist()\n", + " \n", + " print(f\"\\nVariables quantitatives ({len(quanti)}): {quanti}\")\n", + " print(f\"Variables qualitatives ({len(quali)}): {quali}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "be70997e-9247-4766-bbe7-18e65fd7f993", + "metadata": {}, + "outputs": [], + "source": [ + "# Suppression du signe % et conversion en nombre\n", + "evals[\"augementation_salaire_precedente\"] = evals[\"augementation_salaire_precedente\"].apply(lambda x: int(x.replace(\" %\", \"\")))" + ] + }, + { + "cell_type": "markdown", + "id": "a5e90dfe-7de1-47cd-bd21-142918e7d3ed", + "metadata": {}, + "source": [ + "### 2. Creation un DataFrame central" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "c035195b-5b69-4265-9966-2d4c50041853", + "metadata": {}, + "outputs": [], + "source": [ + "#Normalisation la clé de jointure dans evals\n", + "evals[\"id_employee\"] = evals[\"eval_number\"].str.replace(\"E_\", \"\").astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "52ce5c95-e216-4a00-a8bf-74d09e838ab4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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satisfaction_employee_environnementnote_evaluation_precedenteniveau_hierarchique_postesatisfaction_employee_nature_travailsatisfaction_employee_equipesatisfaction_employee_equilibre_pro_personote_evaluation_actuelleheure_supplementairesaugementation_salaire_precedenteid_employee
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" + ], + "text/plain": [ + " genre statut_marital departement poste \\\n", + "count 1470 1470 1470 1470 \n", + "unique 2 3 3 9 \n", + "top M Marié(e) Consulting Cadre Commercial \n", + "freq 882 673 961 326 \n", + "\n", + " heure_supplementaires a_quitte_l_entreprise domaine_etude \\\n", + "count 1470 1470 1470 \n", + "unique 2 2 6 \n", + "top Non Non Infra & Cloud \n", + "freq 1054 1233 606 \n", + "\n", + " ayant_enfants frequence_deplacement \n", + "count 1470 1470 \n", + "unique 1 3 \n", + "top Y Occasionnel \n", + "freq 1470 1043 " + ] + }, + "execution_count": 208, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_central.describe(include='object')" + ] + }, + { + "cell_type": "code", + "execution_count": 209, + "id": "80f57294-62bb-4498-ae29-4b0347048b80", + "metadata": {}, + "outputs": [], + "source": [ + "df_central.rename(columns={\"a_quitte_l_entreprise\": \"attrition\"}, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 210, + "id": "a7d18d1b-5269-49b0-a70c-8c84338df524", + "metadata": {}, + "outputs": [], + "source": [ + "partis_df = df_central[df_central['attrition'] == \"Oui\"]\n", + "restes_df = df_central[df_central['attrition'] == \"Non\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 211, + "id": "80b1b74f-7b4e-4a3b-97c4-457017cd0eb8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nombre d'employeée total= 1470\n", + "Nombre d'employeée partis= 237\n", + "Nombre d'employeée restés= 1233\n" + ] + } + ], + "source": [ + "print (\"Nombre d'employeée total=\", len(df_central))\n", + "print(\"Nombre d'employeée partis=\", len(partis_df))\n", + "print(\"Nombre d'employeée restés=\", len(restes_df))" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "id": "b0e52988-e430-408b-9d3b-230743e0f737", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " id_employee age revenu_mensuel \\\n", + "count 1233.000000 1233.000000 1233.000000 \n", + "mean 1027.656123 37.561233 6832.739659 \n", + "std 606.217074 8.888360 4818.208001 \n", + "min 2.000000 18.000000 1051.000000 \n", + "25% 483.000000 31.000000 3211.000000 \n", + "50% 1022.000000 36.000000 5204.000000 \n", + "75% 1574.000000 43.000000 8834.000000 \n", + "max 2068.000000 60.000000 19999.000000 \n", + "\n", + " nombre_experiences_precedentes nombre_heures_travailless \\\n", + "count 1233.00000 1233.0 \n", + "mean 2.64558 80.0 \n", + "std 2.46009 0.0 \n", + "min 0.00000 80.0 \n", + "25% 1.00000 80.0 \n", + "50% 2.00000 80.0 \n", + "75% 4.00000 80.0 \n", + "max 9.00000 80.0 \n", + "\n", + " annee_experience_totale annees_dans_l_entreprise \\\n", + "count 1233.000000 1233.000000 \n", + "mean 11.862936 7.369019 \n", + "std 7.760719 6.096298 \n", + "min 0.000000 0.000000 \n", + "25% 6.000000 3.000000 \n", + "50% 10.000000 6.000000 \n", + "75% 16.000000 10.000000 \n", + "max 38.000000 37.000000 \n", + "\n", + " annees_dans_le_poste_actuel satisfaction_employee_environnement \\\n", + "count 1233.000000 1233.000000 \n", + "mean 4.484185 2.771290 \n", + "std 3.649402 1.071132 \n", + "min 0.000000 1.000000 \n", + "25% 2.000000 2.000000 \n", + "50% 3.000000 3.000000 \n", + "75% 7.000000 4.000000 \n", + "max 18.000000 4.000000 \n", + "\n", + " note_evaluation_precedente ... \\\n", + "count 1233.000000 ... \n", + "mean 2.770479 ... \n", + "std 0.692050 ... \n", + "min 1.000000 ... \n", + "25% 2.000000 ... \n", + "50% 3.000000 ... \n", + "75% 3.000000 ... \n", + "max 4.000000 ... \n", + "\n", + " satisfaction_employee_equilibre_pro_perso note_evaluation_actuelle \\\n", + "count 1233.000000 1233.000000 \n", + "mean 2.781022 3.153285 \n", + "std 0.681907 0.360408 \n", + "min 1.000000 3.000000 \n", + "25% 2.000000 3.000000 \n", + "50% 3.000000 3.000000 \n", + "75% 3.000000 3.000000 \n", + "max 4.000000 4.000000 \n", + "\n", + " augementation_salaire_precedente nombre_participation_pee \\\n", + "count 1233.000000 1233.000000 \n", + "mean 15.231144 0.845093 \n", + "std 3.639511 0.841985 \n", + "min 11.000000 0.000000 \n", + "25% 12.000000 0.000000 \n", + "50% 14.000000 1.000000 \n", + "75% 18.000000 1.000000 \n", + "max 25.000000 3.000000 \n", + "\n", + " nb_formations_suivies nombre_employee_sous_responsabilite \\\n", + "count 1233.000000 1233.0 \n", + "mean 2.832928 1.0 \n", + "std 1.293585 0.0 \n", + "min 0.000000 1.0 \n", + "25% 2.000000 1.0 \n", + "50% 3.000000 1.0 \n", + "75% 3.000000 1.0 \n", + "max 6.000000 1.0 \n", + "\n", + " distance_domicile_travail niveau_education \\\n", + "count 1233.000000 1233.000000 \n", + "mean 8.915653 2.927007 \n", + "std 8.012633 1.027002 \n", + "min 1.000000 1.000000 \n", + "25% 2.000000 2.000000 \n", + "50% 7.000000 3.000000 \n", + "75% 13.000000 4.000000 \n", + "max 29.000000 5.000000 \n", + "\n", + " annees_depuis_la_derniere_promotion annes_sous_responsable_actuel \n", + "count 1233.000000 1233.000000 \n", + "mean 2.234388 4.367397 \n", + "std 3.234762 3.594116 \n", + "min 0.000000 0.000000 \n", + "25% 0.000000 2.000000 \n", + "50% 1.000000 3.000000 \n", + "75% 3.000000 7.000000 \n", + "max 15.000000 17.000000 \n", + "\n", + "[8 rows x 23 columns]" + ] + }, + "execution_count": 213, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "restes_df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "d2b27418-0b79-4a43-afba-3a37a71bdf73", + "metadata": {}, + "source": [ + "On va comparer les mean et std types entre les employée qui sont partis et ceux qui sont restes:\n", + "\n", + "`age` L'âge des employés qui sont restés est plus élevé que celui des employés qui sont partis\n", + "\n", + "`distance_domicile_travail` Les employés qui sont restés vivent plus près de chez eux. \n", + "\n", + "`satisfaction_employee_equilibre_pro_perso` Les employés qui sont restés sont généralement plus satisfaits de leur travail.\n", + "\n", + "`nombre_participation_pee` Les employés restés dans l’entreprise participent davantage au PEE" + ] + }, + { + "cell_type": "markdown", + "id": "b8ac08fa-60b7-4b54-905c-ed2f3810e654", + "metadata": {}, + "source": [ + "### 3. Visualisation graphique des différences clés" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "id": "3aa01457-cde3-42ca-ad9f-e6c978751768", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[,\n", + " ,\n", + " ,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ,\n", + " ,\n", + " ],\n", + " [,\n", + " ,\n", + " ,\n", + " , ]], dtype=object)" + ] + }, + "execution_count": 237, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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vrixbsWKF+TwtXzTPta7ver3pS53bqieuXbvWLNO06b0AzRd9XZe/8sorPpfDvhwfofit8fUeiNb5S9sOb+bKcNynXHv7Tvf9LbfcYvaZHi8vvvhisXVc90Npx4Ouq/colVU3cqwreHOd5nhe6ZDJWrZa5491bjnS80zrjdZ9NL0m1SFetT7na5nmjZdeesnkl6Zfz50///nPbtfztT5b1nu77so8PZ+03LjhhhvMd2vdaNCgQfLFF1845bE3w6V5Uxcrrd6vx5nS+pp1TFjX+tbv5549e+SOO+4w269llrf3SEeMGGHuE7i7Xrn//vtNeWStX9Z7rmHNVk5Wrlxpu+mmm2yTJk2yvfTSS7annnrKdsUVV9iaNGliO3funH29yZMn692ZYu9fvHixef2rr76yv/bEE0+Y1/r372974YUXbI888oitUaNGtiuvvNKWlpZmX08/v02bNrY6deqY7124cKFt6NChtri4ONtjjz1mX08/Wz+vbdu2thYtWthmzZplmzBhgq1y5cq2Tp06mffedttttrlz59p+/etfm/c/9NBDTul89dVXzet33XWXbd68ebZnnnnGds0119hq1arllHZNX2Jioq1ly5a2hx9+2LZgwQJbamqq+f758+ebdc6ePWte19fuuece2x/+8Afz+Otf/2qWP/fcc7bbb7/dNnXqVJOnui1VqlSx3XrrrbaioiKzjq57//33m8+YPXu2/TP0s5Xmv2NeHT9+3FavXj1bjRo1bL/97W9NHuh+i4+Pt7311lv29T788EPzme3atbO1b9/efHZmZqatatWq5vt9ofmqeab77+WXX7b97ne/M2meOXOmfR1vttXTcTJw4EDbz3/+c9uzzz5r8vNnP/uZWefxxx93Sofmg+aH6/Ggx8K1115r0qPb+Y9//MO2f/9+W82aNc0y3cd6/N1xxx1mOxzzyRv6Ha1atTLHrW6ffp6mQ7dv3759xc4N/c4BAwaY4yQnJ8csmzZtmvnue++917w+ZcoU83l67H333Xf2z1i/fr05nvXz9fM0P/RY7tmzp30db7ft2LFjtquuusqcx7rvNX+vv/56c6657oPyPC8CuW9ikXWc6bk9aNAgk+//93//Z17TMtdxX+lrP/3pT81xqGWq/q3nmyM91m688UZbgwYNzHGi59DVV19tq169uu21116zNW7c2Jxb+tD9dt1119kKCwuLHRN6bA0ZMsTsz7vvvtt818SJE8P2fPX2N88qszRtP/7xj835oWn3tez+/vvvTboqVKhgylI9R7Kysmy33HKL7S9/+YtTHul3+pq/Sn9fH330UbOO/jZo+avrrVmzxr6OpjEhIcGU11aat23b5rStjue8dbxpGaTbPmLECLMNmu6LFy/a19O8adiwoS05OdmU/3pcdu/e3bw3NzfXp32oeXfDDTeY8ufJJ58029K6dWvzO6dlpK91B6XnSMWKFU3e63rjxo2zVatWrdh2IPZ4W6Z6W7aUROtwes7pZ2hd1rHcOH/+vK158+a2SpUq2UaPHm3qsnqe6vfOmTPHq7LU2hb9bC2fdFv69etnXtPzSMv6jIwM83qXLl3M61u2bLF/9r/+9S/zWzBmzBhTRmVnZ5v3aJqscqq033h31wm+/h5pPVfPaS3Lbr75ZnNO6++EL/XS0mi5b6XpxRdftD3//PO29PR0U+fyVO+0uNtG1zJf903fvn2LvVevS/S3xip33JW73tbJ9JpHfzv1Wuj3v/+97emnn7bdeeedTvsUnlGfKpm31y6Ov/9jx441x6yWT1pXWLFiha1+/fqmfqnlmNYv9Zg9c+ZMsf2gv/PWPYMHHnjAvKb1npLOM2+viwcPHmzWu3z5stPnaRmn26jlZ6jqFb/4xS/MtZ+Wu3oe6/mu+aB1cItVTuhna3mvdSP97XG3L/ThyrUs07qUfl6PHj1MmawPrd/pNbgv9DP0d0uvN/X40M/R3wrdL1on1WNCfy/1N+MnP/mJvc7sSznsy/ERit8ab++B+HOcW/d19NndPuXa2zd/+9vfzD7Sa9wZM2aY6zE9Fqx7JJ72Q2nHg15P9erVy3yGVTfShy/XaUpf03JM62OaNi07tU6h9/H+/e9/29f79ttvTdmrr48aNcqUQ3ptqOekVS74UqaVRssnTZt1v1W/U+slmjbHcsfX+qw/93Zdyzwt47Vc08+97777TF7rPtZr0rffftspj/WctPhTFyuJloVaNuhnDxs2zH5MfPHFF/b062+klqEjR4405aCVTm/ukW7dutW89sYbbzh9r+53/T0aPny43/dc3eVXuCi3YIke1K62b99uMkYPFF+DJXpgaAXC9cdJK0u6nmPBo4WA7szPPvvMaV2tCGhFKy8vz+mE0oPp1KlT9vXGjx9vL1QuXbpkf10LLz3ZLly4YL9ZpQe3FnCONK1acXN83fqx1YPbkRV8cLyw9HTwuMvTP/7xj2Z9PbAtesC6npyeCmktlHTdP//5z/bXdLuaNm1qTl7rJqb1o6oFVUFBgX1drYTo695e2CvNV73YLom32+quIHL33l/+8pem4Lf2XUnBkqSkJNuJEyec3q+FpFZGHN+vFRYtcPWmoy/0O/Sxe/du+2taqdYbmHqjwPXc0OPO0ddff22O4+nTpzu9rvtAzxHrdS3cdT/qNjpWfK20+7pt1rHyySef2F/TfNJj3XEflPd5Ech9E4us40yDVY70WNSKkNq7d69ZRy/kHOmPob6+adMm+2t6vOlr1g1ztW7dOvOaViStC0ilP+DuKuv6mv7AO+5PLTO0/NVjIRzPV29/86wyq2vXrsUusn0puzUoo+u6C/5Y57enYIk3+etum/RiXW/uagXRkf7eOqbNdVut7dH9pN/Ru3dvpwCZVjx1vVdeecX+mlb2XPNOf3u0AqgBVV9Yx+Sf/vQn+2unT582Fw1a1vhad9DfS/28ZcuWOa23du1at68jtnhTpvpStnh7jLvWq/QCUj/f8QaZnsOdO3c2wWvr5mJJZam1LXpBZtFySy/Q9YLP8QaP1jO0jHcsC3RdxzqjtZ7eRHDMn5J+412vE8rye+RYb9Rt1ADvb37zG5/qpaXRRi3a8KMk/gRL9NpEbxScPHnS/prmrda3HPPStdz1tk6m+0Xfp79DKBvqU555e+3i+Pu/fPly+2t///vfzWsatNixY0ex+qVjPcfaD3oz3ZHeVNTXrUCsP9fF1ve+//77Tt+hNxEdb7SFol6h57XjDS1X+jtQt25dU5/74Ycf7K/rDVb9Lq1f+hos0Zuk+hviWq/1lbWPDxw44PS6Bjy0zuZ4Y1fpzUvdXqu+6k057O3xEarfGm/vgfhznJcWLFFce3tP709q3c3xGvfgwYPmHC8pWOLN8aDnsrt7pb5cp+n79frr888/t7+mx4e+rjftLRr00PNv165dHq8tvS3TSmOVQxrYcKwnWgFPx3LH1/psWe/tuivz9NrUaiDkKU+8CZb4cn+sNLp/XH/3HNOvyzSI5cqbe6RFRUWmEYLrtbYGT1zLoLLecw3nYEm5DcOlXZscu5hp10HtoqXDEbh2A/XGxo0bTVdIHbbE0ciRI4utq91KtXuTdr3UronWo2fPnqZbkOsQB9rVVocHsGjXXqXdUR3HSdbXtQua1UVVu8hpNzTtkuT4Pdr9Vtd1HGbA8qtf/crpb02ndvf1NU+1O5h+l3YNVmXJU2vSKO3y5ji8k3a9GjZsmOnKZg1pY9HuXo5j+Wn6lbfboPQY0O5mR44cCcq2Or5XuyLrezWd2p1Mu9yWJjU11T4khNLueTp5qnZxtT5PH3pM6zA2uh2u3ZZL07lzZ9NV0tK4cWPTFVCHU3DtuuZ6zOjQMdrNUdPjeNxptzjtxmkddzq8kQ7Nod0kXSeLtrpw+rJteqzoPtDjxaL5NHjwYKfPLs/zIhj7Jla52weaj2fOnDH7Xo0ZM8Zpnd/85jfm2XXYPh3iSI9x1zJVh3DTY931dXf7WruBunYf1vLXdbiFcDlfff3Ne+SRR/yaz+NPf/qT6YJ8zz33FFvmbmjLsuSv4zbpMBCnT582x0VZf2/0s/U7tExynOBQ80KHD3A9jvS3SH+HLfrbo+WPL783Fu0i7JhX+n06ZJmWkzr0jC91B11P6ww6rIXjenqMaJrdlXGIPSWVqWWpC/hKy22tF+hvseO4wb/+9a/NMDI6lE1JZamj//u//7P/X8stHdZEr3V0SASLlnU6JI7j+anrWnVGrbdo+ax1eX2/P/VWX3+PrLqq0m10Tac39dLS6GfoEDy7du2SYLj33nvNb4vj8IE6tKDWt3SZJ97WybS8132lQzwwnKB/qE8V5+21i0V/S3WILoues3qONW/e3F53LK0eqUN8urtnYJUh/lwXa71A6xU6XJRl//79Zgglx3pLKOoVmk86BLNOAuyODuunQ9roPRXHcfZ1OJVmzZoVK0O9/U4dktXXoQvd0aHXHOfg0t8arfP279/f/N8xf7Rer3VT6/fEl3K4tOMjVL81vt4DKctx7g+uvZ3peax1Nh1O3PEaV8sqPT5L4m/dw5frNC1zdJgkiw7LrtdC1vGp5bMO06XnmdbRPF1b+nqf1ROrHNLfS8d7izpkk+N92bLUZ8t6b9cdLXt0mEJ395y9ud725/5YWemQWHrPtiz3SOPi4kz+aZ5r3lpef/11Mxy242+jv/dcw1G5zZD4ww8/mPE6Fy9ebA5Ax7HQ9UT2lY4Hr/TmkyMdT1RPVkda4GhlxdNFn56YjhwLNmWdXDoOn7vXrYsIq2DTG4DuaAHkSCskrmnStHt7UaI/TjquoY4J6roNZclTK18dK52OBby1XMe985RXVt77cmGlY+PrzQAd908/+6677pIhQ4aYQjsQ26o/OhMmTDA3TB1vSnjzXqVjMzrSccf1+NUxuvXhjqZRCxBv6YWBK80PLVz+9a9/mR8ET+nR407T4+4zHCdRssZRdNx/rnzZNk/HilYEXdNXXudFMPZNrCrp3NZ9rze3XctfPU61omeVz/6WqRb9Lh1n1PX8UK5jp4fL+errb55run2l57fe3CwLb/NXx8DXeYn27t3rND6zL5VDR9Zx4lpmaCVZ0+N6HOmYsq7fpcel/r77So9d189y3Gbdh97WHXQ93ac6DnhJ6yG2lVSmWr+DvtQFfKXnk36+Y2DStX7nbZnkrkzX3269gHR93XVcdR1TWucy0QsnvdnvzfeVxN/fI3d1DG/qpaUZN26cCQjrjVZNm46RrfPNdenSRQJBg+N6I1MvWK0glf5f94Gn+pYvdTK9uNYxx/VGoI4JrjfndAx+DSr7cxzGIupTxXl77VLS77+WL97WI5Xrd+mNQi07SpqDx9vrYv0cbSy2YMEC++S5GjjRclFvNDlud3nXK3Rut7S0NJNXGmzReSv1PLbqfZ7qYkrLGJ17wVcaeNF5Tfv06WPq11r+aWBMy1Jfuf426G+h3mTUuQ30UVL++FIOl3Z8hOq3xtd7IGU5zv3BtbcUOz71GtBd2abnWElBK3/rHr5cp5V2fOp26H2zku4bleU+qyfW+eOab/pb4HqN6mt91t/7EK7X27ofHYMsZeHr/TF/aBnsbqJ6b++R3nvvvWb+LJ3rVctPDZrocaxzaDkeW/7ec43pYIlG3/SmkbYg1ZZzejBq5morEcfJfzzddPGnRZ1+vrbMeOKJJ9wut26QWDy17vX0unUTzNqOP/zhD24vJFxPKn9aESutdGzbts1MAqyT1GpLE02DFqxlmVCpLErLE2/oZENa8OikQNoq7ve//73Mnj1bFi5caG+9WNZt1cqUtkjRAkd/gLTCoBVXjbBrBcqbfHKMkirrPTrpuKcWAq4VqUBylx49b3SCKHf7Q/PKW8HYtvI8L0K9b6KJN+e2tzfJy1qmlkW4nK/e/uZ5Sne40Qn2fvKTn5jyWidk18nstAKr2+g4UWYwBeN4CUTdQdfTGxqOLUodebqAQGwp7+PXXyWVSe62xZvt08mctZWgtrjU+pyeN9bkx44TY5aFv79Hjun0pl5aGr1oP3z4sLl5oZOmamtELTt1gnu98RWIax69gJ0+fbppvacTg+qFrLZSLOki3pc6mf5+aatSbV2qLWW1wYHuK70QbteunVdpBPUpT8ehL9cuwahHlrWhhycagHj22WfN+aLnodaNNMDo2KI5FPUKvYbW1r2rVq0y5ZmmUQOh2rtHgxm+0Dxzl7euZZamXW/Yarmh+1gfWl/UPHKdhLms9XptFa5BIHesm8velMMlbasvrwfrt8bf+z2BPs5dce0dOP7UPXy9TgtUndTX+6yhUJ73IYJ1fyzQ9Xlf7pF26tTJTMiuAXANlqxevdoEBB17MQfinmtMB0vefPNN84OmrckcuxJqxrpraaevOw4V5BohbNKkiT2a7djiQFuwuUYDdWdpBEy7gwWT1ZVNKwiB+i5PP3C6jToUmf7Q6w++xV23PV9+JDVftVLhyuo6ZeV7oGmPIO0epg/dV1rQZ2Zmmh8GX7bVlQ4foMeEVgj1My06HFVZWdFt/QEK1H52ty2fffaZaZlUWoVYjzst1PU8KOkHyTo+tVu4p3T7sm16LLhLt+vxU57nRTD2Ddzve/3R0/1vteJQ+fn5puwOdDmh36Xdgh2Pbz0/lP54h+P56u1vXkl8Kbv1PNNzO1j5qxeYWunRC19tcWzRSnhZ020dJ1pmOLYa0i7QWkYH8xy2WsI5ptV1m72tO+h62nJRWyqGe9AL4c2fuoA355u2/tPz3bE1XrDrd460XNRzXetkjufe5MmT/aq3BuP3qKR6qbeqVatmLib1oeXaoEGDTHBj/PjxpjzVax53vwmu1zye6Odq3VjLZ+39oS35HIcqcsfXOpmur71L9KF5rDfr9HdNA1/wX6zWp7y9dgkkzWPHewZaD9D8KGm7fbku1hbYGkTUAIf2hMnLy5N58+Y5vS9U9Qq9caq9PfShLb1vvvlmUxZpsMSxLubayllfc9xGLbPcDXHmrszSlswabNWH5rN+94svvmiCrv40UtLfQg0Oa4DGm+OwtHLY2+MjFL81ZbkHUpbj3Btce3t/fOo56809krLUPTztB1+u07zdDr3xXdq1ZaDus1rnj+abYzmkPZD1mlB704ZDfVa3V4c11HS59oD09XMCdX+sLAFRX++R/vznP5fnn3/e1DO1F7OWJ9ZwgGX5vEhRbnOWaOTONUqnFQjXlgjWgeM4vp2OeenaCqFHjx4m4qbdXR298MILbnfu9u3bTeHhSn/cdLzkQNBWy1qoPP30005DC1i0O5uv9ALZSqe7SKhrnmoXKXeVBHef4Y52zd25c6fJL8f8126uelI4jhkaKK5DNGiLCa1EWd0HfdlWV+7eqxUljbiXlRZq3bp1MxW+Y8eOBWQ/a347jif5zTffmFYF2l24tJ4WWunTdbQi5ZpH+reVv1ox1sqT5pvrsWC9z5dt02Nlx44d5nhxXO7aCqo8z4tg7BsUp/ve3Tk4a9Ys+zjHgeZYtuvxqn9rJUV/C8LxfPX2N68kvpTdOgTXX//6V9NysCwtZErLX90erYw5pl+79GsLSnfp9ibNWjnUi+m5c+c6pXHRokWmu24wjiOLjt3tmFda+Xv11VfNjUCrhY+3dQddT/MlKyur2Hq6ji8BMsQ2f+oC3pTbOh+PXuQ4Hp9aLmm9S1uEBZu7OpledDrWOUv6jS+v36PS6qVl+Qwt67QOrdtu1YX0mkfLOsehBPV3yl057o7esGvdurXZp/rQG6KOF6nueFsn06GENMDvSNOrNyl9yQeULFbrU95euwRSTk6O099WIKOk3hW+XhfrkDnaIlz3Z506dYp9dnnXK/QzXIc/0f2o86tY57HOR6Cvaet1x3Nbe4McOnTI6RjUMkBvSDrua617fvzxx07f4br/9Iam1dvD3/JDjxut8+rNYXc3ch3T5k057O3xEYrfmrLcAynLce4Nrr29o/tMf2f1+kgDphY9l9yd977WPTxdG/pyneYNPWe1F7D2ItD5RFxZx2Sg7rNqOaQBGi2H9F6dZcmSJcW2NZT1WS17tDevu3vOvvRICeT9MV/uF5T1Hum9995rjkO9J6+99HS/+/N5kaLcepZoN1TtZqRdUfVHSk8qbTGhFQlHekGo48rp+Lva3VAz/pVXXjEnj2OBoy2oHnvsMdO6SbucaVdE/bHWH3Ydr9cxwqafo13TNQ3a/V/H69SKzr59+0wrNy1IXMdZLgs94DV4oxUlvTGtrbusdOukX9o6xN2JVRKNTGt+aWGgLW802qwtV/ShF0Q6DqmeYDoWnVbO3EXvrMlCf/vb35o0aYVYW3lYJ5ajJ598Uv74xz+aH1SdJEm/T08K/VytlLiODRgIun1a+dZ06vdpgaz7xZpwWPPV2211ddttt5lWMNrCW7dHjws9Dv3tXqcVEZ3QSC9SdTJibW2lLUv0uNaJ5PRY9IXuTy00NY3aGsAqWErrImxVXHV8Sm0ho8ey/rDpxazmj15w6ySEOgSR7js9PnXf6w1BbbGgF9Za6dUxBq0fOW+3Tbtbal7quafnoh5PevFgRftDdV4Eet+gOG3doeeU7m+r26VeTGpZocffnXfeGdBs05Yy+sOs36ljR2s5r8fOU0895VVr61Ccr97+5pXEl7Jbf+e03NSxsR9++GHzXh3nWH/7tOLp2CKnLPmrF4F6Qajnu3bB1ZaJmq9aiXedM0S/W7dV19cLcg3SuhvzWz9byy3NN/1c/S3XVlean7fccovTpKiBpuWG1jN00k+tT2g9Q48JxxZY3tYd9PjXcVt1eBoddkLrMbqvtHWUTnyoLXF++tOfBm1bED38qQuURusCepNTj+U9e/aYG316HOtNLr3xovWGYNNzSVud3XPPPaZM0XqKlk9aRjpOHFnSb3x5/B6VVi/1hpYDGnjVOo6WMXqjROs6ut1WXmu5rsMTaH7oPtcAhdaXdJu9nfBeL2C1xbGW41qmlVZP97ZOpr0N9Oa5XhBrfmgDNa1TajlZWu8VeC9W61PeXrsEkn62dc9A06u9o7Q+U1L9yNfrYv08vT7SbcjIyCjW8ri86xU6ya72ctF1dTv1RqLWz7TuY/V81s/VYbn0ulC/V4cQ032q36G/E6NHj7Z/ntYvtW6nv1Na3mhdUMvwli1bOo1Rr63gtQ6qLcT1+7Xnid7I1OtPx14ZZTVz5kwzAbIew3ocahml36flpm6f/t/bctjb4yMUvzVluQdSluPcG1x7e0/rbFrO6vB32qPKupGv50lJ8yx6U/ewrg21PNLzUO+V6m+yL9dp3tIb+Xq86bGuZbKeuxoo1zJI5zLSUYACdZ9VyyH9TdByT8sNrdvosazXZa5zloSyPqtDCWrjujFjxpjzX/exbq+WO7qvdc4ZbwTy/pj+nuq+0LJYt13vE2jZWNJcgL7eI7355pvNsaT3JDRo4jgEV1k+L2LYysl3331ne+ihh2xXXnmlrXr16raUlBTb3//+d1uTJk1saWlpTuvu2bPH1rFjR1vlypVtjRs3ts2aNcu2ePFizWnbV199ZV/v8uXLtokTJ9rq169vq1Kliq179+62Q4cO2erUqWP71a9+5fSZ33//vW38+PG26667znyupuO2226zPffcc7aLFy+adfSz9TueffZZp/d++OGH5vWVK1c6vW6ladeuXcXW1+2rWbOmLTEx0fajH/3I9uCDD9p2795tX0e3uVq1asXyafLkyeYzHW3bts3Wvn17k25dpuuof/7zn7Z77rnHVqtWLfNdP/vZz2xHjx51WseSlZVlu/rqq23x8fFO+egu/7/44gvbT3/6U/O5mv5bb73VtmbNGq/yxMpDzRtvTZs2zXyHfp/ux2bNmtmmT59u3y++bKu74+Tjjz+2derUyXx2w4YNbU888YRt3bp1Zj3dDovmg+aH67a4Hg+O+TR06FBz/FWqVMnk791332178803bb7Q7xg+fLjttddes11//fW2hIQEW7t27ZzS5nhs/Otf/3L7OX/6059sXbt2NceVPjQ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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_central.hist(bins = 30, figsize = (20,20))" + ] + }, + { + "cell_type": "markdown", + "id": "34900aca-d137-42d5-88a5-448b71585888", + "metadata": {}, + "source": [ + "### Résumé global des distributions\n", + "\n", + "1. **Âge**\n", + "\n", + "Répartition centrée autour de 25–45 ans.\n", + "\n", + "Peu de très jeunes ou de très vieux employés → structure d’âge stable.\n", + "\n", + "2. **Revenu mensuel**\n", + "’\n", + "Distribution fortement asymétrique (à droite).\n", + "\n", + "La plupart gagnent moins de 5 000 €, avec quelques hauts salaires.\n", + "Présence probable de cadres ou managers dans la partie haute.\n", + "\n", + "3. **Ancienneté et expérience**\n", + "\n", + "`annees_dans_l_entreprise` et `annees_dans_le_poste_actuel`: beaucoup de valeurs faibles → beaucoup de nouveaux arrivants.\n", + "\n", + "`annee_experience_totale` montre une majorité avec moins de 10 ans d’expérience.\n", + "\n", + "4. **Notes d’évaluation & satisfaction**\n", + "\n", + "Variables de satisfaction (`satisfaction_employee_*`) : souvent sur 4 points, avec des pics marqués → échelles d’évaluation internes.\n", + "\n", + "Distribution relativement équilibrée, mais il y a des opinions divisées pour certains critères (ex. “satisfaction équipe” )\n", + "*À explorer*: satisfaction vs attrition.\n", + "\n", + "5. **Augmentation de salaire précédente**\n", + "\n", + "Majorité autour de 10–15 %, avec quelques hausses plus fortes.\n", + "Les augmentations sont rares et faibles pour la majorité — possible lien avec l’attrition.\n", + "\n", + "6. **Distance domicile–travail**\n", + "\n", + "Distribution concentrée sur les faibles distances, mais avec une queue longue jusqu’à 30 km.\n", + "Les longs trajets pourraient influencer le départ.\n", + "\n", + "7. **Formations et participation**\n", + "\n", + "`nb_formations_suivies` : la plupart ont suivi 0 à 3 formations.\n", + "\n", + "`nombre_participation_pee` (plan épargne entreprise) : faible participation globale.\n", + "*Possible interprétation* Engagement ou opportunités de développement limitées \n", + "\n", + "8. **Années depuis la dernière promotion**\n", + "\n", + "Beaucoup de zéros → beaucoup de salariés sans promotion récente.\n", + "Un facteur classique de départ \n", + "\n", + "9. **Niveau hiérarchique et éducation**\n", + "\n", + "Niveaux hiérarchiques faibles dominants (1–2) → majorité de non-cadres.\n", + "\n", + "Niveau d’éducation concentré entre 2 et 4 → diplômés du supérieur \n", + "\n", + "### Résumé global\n", + "\n", + "Les employés sont majoritairement jeunes à mi-carrière (30–45 ans), avec une faible ancienneté dans l’entreprise et des revenus modestes.\n", + "\n", + "La majorité a peu d’opportunités de promotion et un engagement modéré (formations, PEE).\n", + "\n", + "Les distributions de satisfaction sont moyennes mais variables selon le critère, ce qui pourrait expliquer certains départs.\n", + "\n", + "Les données montrent une population RH avec beaucoup de nouveaux talents, peu de fidélisation à long terme.\n" + ] + }, + { + "cell_type": "markdown", + "id": "e95d44f8-8ff0-4d6d-9208-35c9aa24601e", + "metadata": {}, + "source": [ + "### Visualisation de données " + ] + }, + { + "cell_type": "code", + "execution_count": 215, + "id": "912b791d-2d3a-4eb7-b644-414139e03675", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7Wz8hylOeXBCtjUAh+6yl42J53UKeJIcPH65udFLClIQJSYZp+r3l3LTlvJYag1NOOUX9yHZKKU6yxuSJtKWLVBrJ5YFNAqJ1LYgEouauPXmglOQHSVCRgCwN+NY3R3vW54xryJ5z1lI6adrx21Lqa+82tfSaHEsp5UrCgrMehO05X2xl7wNdTyfcj9tDmmmkeUh+ZH1yH5ekEgls7dlGp6f7S7ahlOIkw0eyceQpSJbJRSw7oynJnmtKUlzlZLeQKiHpgyFVOcJysVo/uUiGlzyF2kMCjK0jJsh7bRkzTp6CpQ+MPIlbr1vaaOTppCMngzUpJctTpDzlyHe3kBtb0+8k1V5SJy0dWZuSjE2pGrXUbTdl6c/TtFuANamulGMiKbxNnybld3kIcTRLmrOFJehYzpHmyL7//fffsXr16oZl8t3lfJOAOHDgwEbvl+oROWZyLksWYNN1y36VdUmgaEqOgZyzoun3l4cHS7VLa/tV9qncuKxLKVL9Y8libUq2V6qpJCtNbhbW7YHtWZ8tLA9ptlxH9pyzlrY963Yn2W45Vm2x9FFtbpta2l45lrJ+6TLUlBxHR4ysYuv54qz9L5xxP7ZX0+tBanTk4c5yLbRnG52e7i+kb4u0RcgJKw3FchOSKkqpDpOnSInIUv8vB1lS6KU0YU1OeikxyIkgT9gSsOTvpRpFSKqwPNFdfPHFKi1XLlZJd7W3ikQahuUgSZuD7FjZodZPkk3fK9Vy0r1A+pPIwZCn7+ZIFZYc9HHjxqlhlizp/lKN5agRAuRpRrZbbmKyzdI+Jk+98vTdtL1CbnjSxiPHQkpe8lQqF7GUVGS5pe+JVOvKjUTSvuXpWuqxZd9LicU64aIpuQnJtkjastwoLWPsyfZ89tlnqvFZqhUcSdYt54PUz8t5JFVvUmJpqT+XkBoESbCQYyPnjTw1ygOIrEtKM03bEWV9Um0k30EazJu2Fcp5LolSUkUpCRByjkiglK4U0n1A9oWU0OUpVB4a5DjJvpRSh5wP8tBgad9rjhwHKTXLd5RtkeMh15Kcq9JW05SUMKWkaUkWajpmpb3rs4V8ZyGlekkIkn0k10VztRL2nLPSl0z6GMo5JftOjpV0TbDl5i8lLnlIketVahDkb2W/yI9le+X4SzWXBHvZbmnakO2SGiepNpZ2UNleKa3I/pRuEtLW3BG2ni/2aOn7tOZ5B9+P7SXHRgKXbLscG0kqku8v3Qrau42tsieF0pIKum7duqNek7TpXr16qR9LivO+fftUqntSUpLm7++vde7cWZs1a5bqItB0nStWrNCuvPJKLTo6WgsLC9Pmzp3bKHVeSIr6scceqwUHB2vJycnarbfe2pCmbZ0KLCnEktbfnKysLJV2Gh4e3ijduLmUYkmZPv/887WoqCj1miW9uLl0fyHdICZMmKC2T1JuTznlFG379u3Npgg3Ta9vKdW5OYsWLVLp6tLFYtSoUdrKlSvV92jajUHSdRcsWKD2hbxX9q2k8d53331acXGxes9PP/2knXbaaWp/Sqq3/P+88847Kj25JZ988ok2ceJEldIsP/3791fpyLt27WrzeMj+bC4FWPaDrKPpPpN9eeaZZ6pjJ9/l+uuv1yorK1tNM7ach/J3chwlRX7MmDHa119/3eJ3mjlzpvq83377rdnXpbvAHXfcofXu3Vvts7i4OJWS/PjjjzekSMs5Pn36dJXqLu9JSUlRXVMyMzO1trzyyisqvVmOmexPOTdaSy23pGI//PDDHVpf0/3e2j6VNHa5nqW7hi3nra3nrByradOmqfclJiZqd955p/bDDz+0me4v5HjJ+S372zr1X+5HN9xwg+qWZDAYjvre0vVA/k6uWzm3JOVc7i0ZGRkdTve39Xyx3FOkK0VTTbsxtPR9WluHM+7HLV2/zZ0zDz74oLru5BqU/SznoXQJsu5SYOs22sKuwOYMrQVLotYeBpxl9uzZ6gHNWyxcuFDd4A4dOqR5k+YCG7nXazq5H3OiUSIrUr8v2aFNU+Y9lTycysgeUq3WXKo+kS9yWBsbkTeTdh8ZQknSkC1DF3kyaaeRthtpP5X2GkmjJqIjGNiI/hqIWdKQpdQjySXSH8yTSZaYJIPIiA4yYHV7G/WJ9Mgg9ZHu3ggiIiJHYRsbERHpCgMbERHpCgMbERHpCgMbERHpCgMbERHpCgMbERHpCgMbERHpCgMbERHpCgMbERHpilcNqSXziVlPfkfNk7EOW5pinohI77wisMmoX1lZWQ6Z0dZXyBiCMt6hvdPIExF5O68IbJagJrNdyxTwvFm3/hBQUVGhZkoWnTp1ctlxIiLyBH7eUP1oCWqxsbHu3hyvEBwcrP4vwU32G6sliciXeHzyiKVNTUpqZDvL/mKbJBH5Go8PbBasfuT+IiLSVWAjIiKyBQMbERHpilcHNrOLJ/+29/MuueQSVYX66KOPNlr++eefs2qViMhXsyJbYzQY8Pq6w8gqrXH6ZyWFB+CS0Z3t/rugoCAsWLAAV111FaKjo52ybUREpJMSm5Cgll5c5fSf9gbPadOmqY7SjzzySIvv+eSTTzBo0CAEBgaie/fueOKJJxq9LssefvhhzJs3D+Hh4UhJScGSJUvatT1ERHrn9YHN00kfMglKzz77LNLT0496fcOGDTj77LNx7rnnYuvWrbj33ntx99134/XXX2/0Pgl2o0aNwsaNG3Httdfimmuuwa5du1z4TYiIvAMDmwvMmTMHw4YNw/z584967cknn8TUqVNVMOvbt69ql7v++uvx2GOPNXrfzJkzVUDr3bs3brvtNsTFxWH58uWu2HwiIq/CwOYi0s72xhtvYMeOHY2Wy+8TJkxotEx+37Nnjxp1xWLo0KEN/5aEFKnetAybRUREf2Ngc5HJkydjxowZuOOOO9o9Yr81CW5ms9lBW0dEpB9enRXpbSTtX6ok+/Xr17BswIABWLVqVaP3ye9SLckxHomI7MfA5kJDhgzB3Llz8cwzzzQsu+WWWzB69Gg88MADOOecc7B69Wo899xzWLRokSs3jYhIN7w+sEn/Mm/6nPvvvx8ffPBBw+8jRozAhx9+iHvuuUcFN5lmRt4jSSRERGQ/gyYTeHmwqqoqHDhwAD169FCdnZuOBCKdtF3F1Z/nrP1GRKRnXp084uog4y1BjYjIl3l1YCMiImqKgY2IiHSFgY2IiHSFgY2IiHSFgY2IiHSFgY2IiHSFgY2IiHSFgY2IiHSFgc0LHDx4UI3mv2nTJndvChGRx/PqwKaZ6z3+89LS0jBv3jwkJycjICAA3bp1w0033YT8/Hyb19G1a1dkZmZi8ODBdn8+EZGv8epBkA1GEzJfvBA1GY0n73SGgOQB6HTVW3b9zf79+zFu3Dg1Bc17772nxm3ctm0b/vOf/+Dbb7/FmjVrEBMT0+Z6ZPoamViUiBxXCyLX48aNG9VUUqQvXh3YhAS16kMb4Ymuu+46VUr7/vvvERwcrJalpKRg+PDh6NWrF+666y688MILqprxs88+w+zZsxv+NioqCgsXLlSj/PMi9DwyILb5r+HDjQbHjSOqaWZAagYsY5MbTeoBjhrXgsyfPx9Lly5FXl6emhFDrh2ZISM2NtauWpC4uDjuWh3y+sDmqQoKCvDdd9/hoYceaghqFlL6knnZZPoazrvmeWTCi3oN8JOIZbWsqs6Msup6lFbXoaSqDqXV9SirqVPL1PK//l1dZ0a9pqnYVG/WICHq1uO7IyRrEw4/OfNIoDIYYTD6wRAUBlNIFIwhUTCFRqv/G0Mi/14WEg2/6M7wT+gBU0RiQ5BTk3LU1x5Zj8l3LmPWgpAtfOeKcLE9e/aom4/MkN0cWV5YWIjc3FyXbxu1HMCKKmtxuLgKGSU1yCqtRmZJNQora1FeU99QQmsPs/pPHczlhUe9VmvrSkz+8I/pCr+47vCP7wH/+O7wl38n9kZAYh8VGNX3sgQ8HZb0WAtCtmBgczIPn+7Op46DBCbTX0GssKIWh0uqVODK/CuIyU+NRDpPVV+L2tz96qeymWZlv6hkBHYfgcCUYQjqPgJBPUbDLzpZvaaZ6yBFR28u3bEWhGzlvWe5h+vdu7dqO9uxYwfmzJlz1OuyPDo6GvHx8ep9TQNgba3Nz/HURiCrM2s4WFCJnTnl2JNXjrSiKs8OYO1UV5SBuk0ZKN/0dcMyY2jMkUDXbRiCeo5GyMCpMIXFNmT4elOpjrUgZCsGNieRRuwTTzxRtaH985//bNTOlpWVhXfeeQcXXXSRCmoS3KQh2/oCrqiocNam6T6QSbvWwcJK7FKBrAIHCipVcPNF5vICVO5Ypn4sApIHImTgFIQMmoqQASfAGBR+pEQHqb70/B5ArAWhtjCwOdFzzz2H8ePHY8aMGXjwwQcbpft37txZJZaIKVOmqPdK14D6+nrcdttt8Pf3d+am6YIEMEsgOySBLLcce3KPBLJaHw1ktqjJ2K5+in58TrXFSfWlBLiQQdMQ3HcijP5Bqp3OYPKsc5C1IOQzgU36l3nq5/Tp0wfr169Xqclnn322aiOQjEhJTZZllj5sTzzxBC699FJMmjRJdeR++umnsWHDBid8C/0EM8k83JJZik0ZpdiRXabLqkWX0MyoPrBe/RT+32MwBAQjdPAMhI0+A2EjToMxMNRjghxrQcgnApu0E9jbabqjn2dvm4SMNPL666+3+h4JZtI1wFpRUVHDv7t37+7T1S+WYFZVW4/NGaXYmFGq2st8tXrRmbSaSpT98bn6MfgFIGTQiSrIhY+cA2NwBLS6Whj83BfkWAtCug9srm749qaGdm9nNmuQPs9SENuaWYrf04qxPatM/U6uodXVoHzzN+on+7WrVHVluJTkRp8FU0gktPo6l2dZshaEbGHQPLwoUFVVhQMHDqj2qaCgIHdvjtfw1v0mpTPJyJekj99Ti1VVo3SM9nbzp/dCWMZ6pD00Cd7O4B+IsBFzEDnlKoT0m+yWAEfUGp6N5HaWZytpJ/v1QCFW7i9EfgW7O3gqrbYapWvfVz/+SX0RedzliJx8GUyhUQxy5BEY2MjtbWcFFbX4aW8B1qYWq6QQ8h61WbuR98GtyP/kvwgbOQeRJ1yNkP6TPSbhhHwTAxu5LaDty6/Asr0F2JZVpsZTJO9ujytd+4H68U/sg+jpNyHyuMt8bixL8gxec8aZzXyS9/b9ZRkRX9rOft5XgIySandvEjlBbfYe5Lx1PfK/fADR029G1LTrVbsck6/IVTw+sMm0L0ajERkZGWqEDvldRuuglturampq1ODKst9kf3lCQKuoqcfyvQVYdbAIZTWunSCW3KO+OBt5H92Bgm8WIGrqtYg+6RbVZUDSXXkNk09nRQq5UcuQUxxmynYhISFqnip3BjZJ2ZcRQL7blYfl+wpQ68O5+nrKimwvQ0CIqp6MmXU7/CKT1NxzBoPnD+FF3sfjS2xCbs4yQWddXZ0acorannHbz8/PbU/F0oYmpLrx+935asoXIq2mAkU/PIuiZYsROfESxJ5xP0xhcV4xPiV5F68IbEJu0jJ+IsdQ9Pw+aOvTivH1jlwUVsrAukRNT5RaFK94CSWr31ZJJjGz7oDBP4hJJuR7gY08P8tRhrn6YlsOk0LI5uG7Cr5+FEU/v4TYU+9C1NTrZCm7CVCHsQ6AOpQUItKLq7Bw5SG8sDqNQY3sP4/K8pH77r9w8K4hKN/6vVomo5kQtRdLbNTuoFZcWYePt2argYmJHNHZO2PhqWoy1PgLnkZAp35MLqF2YYmN7K52lETaFfsK8cCP+xjUyOEqtv+EQ3cPQ97H/1Udv2UUEyJ7MLCRXaU0GcPxyZWH8MnWbM6BRs5TX4fCbxbg4F1DUblvrVrkBT2TyEMwsFGbpJQmfdK+35WPh3/ar2aoJnLVKCbpjxyP7NeuhlZdzrY3sgkDG7VKnpIzS6qx4OcDKoWfk3uSy0l77oqXcOD2/mpuOLXIA4eMI8/B5BFquS0NwNfbc7Fsb74a45HIneqLMpHxzOlqFoGEi1+AKTSafd+oWQxs1KxDhZV4+49M5JTVcA+RRynb8Bkqd/+CpCveQOjQk9y9OeSBWBVJR7Wlfbo1G0+tPMSgRh6rvjQPh5+ahZx3/6WyJtnvjawxsFFDUCurrsNTvxxSc6Sx5pE8nqah6PunkfrABNQVpjO4UQMGNlJkOKyHlx1gxiN5neqDG3Dov8NQuu5j9Tu7BRADmw+Takfpm/bZn9lYvDqNo/CT1zJXlSJr8VxkvXI5tLpqdur2cQxsPlz1WFlnxrO/puKnPax6JH0o+eU1pN4zErX5qaya9GEMbD7I/FfftEeX7ceevAp3bw6RQ9Vk7kTqvWNU5iT7u/kmBjYf9HtqMZ5YcZDzpZFumSuKkP74SSj+eYm7N4XcgIHNh0pp8vPh5izVP62WPa5J7+rrkPPmdch56wZVctPMnMndVzCw+UxQA15eexgr9xe6e3OIXKrop0U4/OTJamJT9nfzDQxsPpAkUluv4flVqdiSyXnTyDdV/Pk9Uu8bi7rCwwxuPoCBTfeZj/V4auVBJomQz5OkkkPzR6E6dRODm84xsOk4qBVX1eHxnw8ivbja3ZtD5BHM5QVIWzAVlXt/Y5ubjjGw6TSoyeDFEtTyyjn7MJE1raoMhx//Byr+/IHBTacY2HSYKCIj8z+58iBKquvcvTlEHkmrrcLhp2ej7I/PoWmc201vGNh0RMbI255VpkYTqazlxUrUqvpaZC46DyW/vsXxJXWGgU1HQU06Xi9Zm84+akS2Mtcj+9XLUPTT89xnOsLAppPqxz8Ol6iO1+x3TWQnTUPu2zeh4JsF3HU6wcCmg6C2K6ccb67P4BxqRB2Q99GdKPzhWVZL6gADm5dnPx4qrFLVj/WcGZSow3Lf/SdKV7/LwZO9HAObl6f0L/otVY0sQkQOoGnIemUeyrd8y64AXoyBzUuDWlFlLZ759RCzH4kcfoHVIfP5s1G5dzVHKPFSDGxeGNQqauvxzK+pKK3maOVEzurnlvHUKag+vI3BzQsxsHkRs1lDTb0Zz/ySivwKjihC5NTrrbIEhx+bgdr8Q9Dqeb15EwY2L8p+rNc0LPotDZmlHPuRyBXqS3OR/uhU1JcVsOTmRRjYvMiSNek4UFDp7s0g8il1BWnIWHgaoJnZFcBLMLB5iU+3ZmNHTrm7N4PIJ1UdWIesV6+AwWBw96aQDRjYvKAKckN6MX7ex5mvidyp9Le3UfDtExw02QswsHlBX7V3/sh096YQkYxO8uHtqNj2E9vbPBwDmweX1OrMGl5cnYYadsAm8gyaGZmLzkVtfiozJT0YA5uHMhoMeH3dYeRyolAij2KuKMLhp2ZBq63m0FseioHNQ6egWbozD1uzyty9KUTUjNrMXarkBuaSeCQGNg9sV9uVW45vduS6e1OIqBUynmTh/z3OUpsHYmDzsKBWWl2H19ZxChoib5D36T2oTtvC9jYPw8DmQdWPMkb/4tXpKK/hGJBEXqG+FpkvnKeyJOUaJs/AwOYhpOPnJ1uykV5c5e5NISI71GbtRs7bN7LztgdhYPOUdrWccvxygJ2wibxRycpXUbr+U/Zv8xAMbG6m/dVf7a0/Mty9KUTUAdmvXakGTdbMbEpwNwY2D6iC/HBzFooq69y9KeTF1mVpuPonMyZ+aEa/N8z4MfXo9p59RUfeM/JdM4a9Y8YZX5uRUdZyu9CeQg03LDdjysdH1vn69qPf++V+Dcd9ZMbo98x4ZJ250WvpZRpmfGZGWY1vtD2ZywuRuXiuXNTu3hSfx8Dm5irIPzNLsTa12OdPROqYijqgXzQwf2zzN9XUEg3nL9XQMxJ4a4YBX55iwLVDDQg0tbzOynqgSzhwy0gD4oOPfr2gSsN/f9Nw2ygDXjnRgC/3A8vT/g5i963RcMsIA8ICfOdGX7lzBQplPEmW2tzKz70f79tVkLX1Zry7Mcvdm0I6cFwXg/o54ugS0lMbNUzuDNw66u9n2ZSI1tc5NM6gfsQTG45eZ3opEO4PzOxx5D1jkzTsKwZO6Ap8vV+DnxGY3s13gppF/uf3IXzMWfCL6QqDsZUnB3IaltjcmQW5NRsl1ayCJOePO/pzOtA9woDLfjBj3AdmnPVN89WV9ugWcaRUtz1fQ1G1hq15R0qNxdUant6k4Z4WSo96p9VUIuuVyxnU3IiBzU1VkHtyy7H6EKsgyfnyq45UVb70p4ZJyQa8eqIBJ6YYcP1yDb9ntT+4RQYasGCCAbf9quGsbzTM7gVM6mzAgvUa5vY3qBLd7K/MmPWFGUsP+kY7m0XljuUo2/Q1syTdhFWRbqqGfHcjp6Ih1zD/FVOmdgUuGXSkFDUgBvgjR8P7uzSMSWp/yerEbgb1YyGBclchcPdY4MRPNTw52YC4YKjANzoRiA3WfynOFB6H+POeQNiwWQ0dtzlBqWuxxOZicpJ/vSOPo/aTy0QHAn4GoFdk46DSKwrIcOCk7DK9kiSM3D/OgEMlgMy2JEGzZ6QB3SOAzXnQN4MBEZPnofuC3Qgbey5WHyrEO5tzGNTcgCU2FzKbNeSW12DZ3nxXfiz5uACTAUPiNBwokaLb38HtYDHQOcxxn7Noi4ZJnYFBsQbV7lZvlf1fZ/675KhHAckDkHjpEgT3GY/csiosXnYI2WU1am9P7B6NrlFBMBn1X1r1FAxsLmQ0GvDp1hxdX+DkHuW1GlJL//5d2rd2FGiIDACSwwy4bJAB/1wp1YEaxiYBvxwGlqcDb874+2Z76y9mJIZIer+xoQQmWY7q32Ygu0LDjgIgxE8SRxrfpPcWafj2IPDZrCPLpVuBdOf6aI+mugrsLwaGxEJ3DP5BiDnlTsScfKsqoX66JRvL9hU0vC6X+nubMnHbCT3cup2+hoHNhQkjBwoqsS2bc6yR4/2ZD1z03d9PTI+sP/LvOb2ARyceaQe791hgyVYND/4O9IgAnjnegFGJfweozHKZ4PbvdeZUSvLH3+t8dZv8aBiTCLx1kqFR9frdqzXcPsqAEP8jy4P8DHh0AnD/Wg0yprdkSCaG6qvEEjJoGhIvfVGl9e/Nr8KLa9JRJUXTJg4XV2PFvkIc1ytaTSBMzmfQOCS1y/xv+QGkFnGQY180f3ovhGWsR9pDk9y9KdRBpogExJ/3JCLGnYeK6hq8vj4L23Nab6wM8jPi/hm9EexvZJubC7DE5qLS2qaMEgY1Im9mMCBy8mWIO/cxGAKCsepAId7bZNsAC1KSW7orD3MGJzh9M4mBzWW+3MYZsYm8VUDyQCTOewnBvY9FTmk1XvjlkN2Zzb/sL8SJfWMRFmBiqc3JWGJzQSbkyv2FyK+w7yIgIveTklnMKXchZuZ/VM3Lx1uy8PO+9k0vVWvW8O2OPJx1TKLDt5MaY2BzMjmZpQqCiLxLyODpSLxkMfxiumB3XhWWrE1HdTPJIfb47VARpveLRUSQHxNJnIiBzYkkL0eCWrmkhRGRVzBFJiL+/KcQMfYcVFTV4MXVh7GzjeQQW8nci9/syMXcEckOWR81j4HNiQPPllbX4+e9f/dpISIPTw45/krEn7MA8A/CL/sL8MHmbId/jExTdVK/OESH+LPU5iQMbE4i/VW+2pajqiKJyLMFdBmMxEtfQnCvMcguqcLilfYnh9hKbglfbc/FJaM7O2X9xMDmtCpImRGbE4gSeX5ySOxpdyP6pFtQbzbjw82ZWLm/yOmfuyG9BP/oH4f4sACW2pyAJTYn+WlvfjPTPRKRpwgZchISL10Mv6hk7MqrxEtr0lEt42K5gHyKlNouH9vFJZ/naxjYnEDG2FvDudaIPJIpMgkJcxeqWa7Lq2rwwqp07M6rcPl2bM4oRUZxFZIiAllqczAGNgeTvi6/Hihsdsw4InJ3cshVR5JD/AKxcl8BPtzi+OQQe0pt/7czj6U2J2BgczAZ4/Rnq9G9icj9AroORdK8lxDUYxSySqrwwoqDyJdpxd1sS2YpSqrqVL82chzuTQeX1qR6obDS/RcMEUlySAhiZ9+D6JP+hbr6ery/KRO/HnB+cog9GZIyMtHMAXGsjnQgBjYHkokEOYkokWcIPWYmEi5+AX5RnbAjtxIvr0lT88p5mt8OFmFm/zjrOWCpgxjYHDgmpExJc7CQ09IQuZMpqhMSLnga4aPOQFlVDRatSsOevEqPPSgl1XXYlFGKY5LDOcu2gzCwOXB27B/35DtqdURkL4MRUVOuRtzZjwKmADXqz8db3ZccYg+pjhzRJcLdm6EbDGwO6pBdXFWnGoKJyPUCU45B4ryXEdR9BDIlOWT1QRR4QHKIrfbmVyC7tBoJYQGc0sYBGNgc5Kc9BaohmIhcxxAYitjZ8xE942aVHPLexkysOug5ySH2WLGvkFPaOAgDmwNIQFub6p0XE5G3Ch02C4kXv6BG49+eU4mX1qbBm7uP/p5WjNmDExDgxyySjmJgc0CK//bsMlTUevEVReRF/KI7I/7CZxE+4jSVHPLSr2nYl++5ySG2kkEd1qQWY0L3KCaRdBADmwNS/NenlXR0NURkS3LI1GsRd9YjgMlfda35dGuOrvabjFo0uWe0uzfD6zGwdVBtvRlbs5g0QuRMgd2GI3HeSwhMGYbMkmqVHKLHgRAySqpxsKASKdFB7LDdAQxsDhhpRAY9JiLHMwSFIW7OfYg68UbU1dfh3Y2ZWK3zAcZlShsJbNR+DGwdrYZMZzUkkTOEDj8ViRcvgikiAX9ml+OV39O9OjnEVpszS3HG0ER3b4ZXY2DrgMraeuzILnPc0SAi+MV0QcKFzyFs+CkorazBS7+kYX+B9yeH2KqgohbpRVXoHBnIPm3txMDWgWrIP9JLwFpIIgcxmhA17TrEnfkwYPRTI/l8/qe+kkNs9cfhEiRHxnP4yHZiYGsnVkMSOU5g95FHkkO6DlUJFC/8dhBFVfpLDrGVtN2fOijB3ZvhtRjY2knmUNrrhll3ifTEGBSO2NPvR9S061FbV4e3/8jA2lS2W2eX1SCnrBrxoRxiqz0Y2NpZDbk+vVjNgEtE7RM2cg4SLnoepvA4bM0ux6s+khxiqw3ppZjeNxYmDkRiNwa2dlZDSkouEbXjphPTVQW0sGEno6SyGktWpnK6p2ZszijBP2SeNrIbA1s7VNTWI5XzrhHZx2hC9PQbEXv6Ayo55Ptdefhyey73YgvSi6tRWFmL6GB/7iM7MbC1oxpSUvxZDUlku6Aeo1VySECXweqGvXj1QTXVE7VOMq+P7xXDsSPtxMBmJ6MB2JFTbu+fEfkkY3AEYs94QI3xWFtbh7c2ZOB3jq1qM5lZe2qfWGceIl1iYLOTwWDATgY2ojaFjToDCRc+q5JDNmeW4fV1h5kcYicZN1JG/Q/yM/KMswMDm50kBbdIh4OvEjmKX1w3JF70PEKH/gPFFTUqOeQQ26TbRZo89uaVY2BCGIxSXUQ2YWCze+41VkMSNcvkh+jpNyF2zn3QjH74blcevmJySIftya3AwMQwnnR2YGCzM82fnbKJjhbUa+yR5JDkAUiT5JDfDqCkup67ygH25FVwChs7MbDZiYGN6G/GkEjEnfkQIk+4SiWHvL4uExsOs4+nI6UXV6G6zoxAtrPZjIHNzva1sho+hRKJsNFnHUkOCY3GpowyvPb7YXDgEMcza8C+/Ar0Twhlyc1GDGx2tK/tyuHYkER+cd3VPGmhQ2agqEJGDklDalEVd4wT7curQL/4UHC4f9swsNnTvpbPwEY+nhwy45+InXMvNIMJS3fm4usdee7eKp9woLCSnbTtwMBmhwM+NNkhkbWgXsci8bKXEdCpH1KLZFqZ/SirYcWjq8gQfpqmceJRGzGw2aimzqxmtiXyJcaQKMSd9TCiTrgK1TU1eH1dBjYcLnX3Zvkc6aSdU1aDxPBAd2+KV2Bgs1FmabVzjwSRhwkfey7iL3gappAoNWahjBzCMpr77MuvRFxoAKskbcDAZmPiiKTcEvkC//ieSLjkBYQOmoZCSQ5Zkar6ppH7m0LGdYvkYbABA5sNDAYgs4QXNumcyR/RJ/0LcbPnw2ww4psdufh2J5NDPEVWaTXb2GzEwGYDo8GADAY20rGgPhOQNG8J/JP64lDhkWllmBziWaSNjWzDwGYjlthIj4yh0Yg76xFEHX+FSg559fcMbMxgcognKq+pR2VtPYL9Te7eFI/HwGbjCVXKce9IZ8KPPQ8JFzwNY3Ak1qcV4831GUwO8XC5ZTVIiQ5292Z4PAa2NkjfkQwmjpCO+Cf0QuIlixEycAoKy6ux+OdUHGZVu9dkZ3eODGJmZBsY2NpQr4EXPemDyR8xM/+D2NPuhhkGfL09B0t35bt7q8gOuWXsS2sLBrY2mJgRSToQ3HeimlbGP6E3DhZV4YXVaajgyCFeORC7DO9HrWNga4OBGZHkxYyhMYg/ZwEiJ89DVXUNXv79MDZnlrl7s6idmBlpGwY2GxtsibxN+PgLkDB3IYxB4fg9tRhvb2ByiLfLLWdVpC0Y2Npg1jSVFUnkLfwT+yDx0sUI6X888suqsXj5IWSW8uFMD2TC0dLqOoQH8tbdGu6dNlTU1ENr601EHsDgF4Dombci9tS7VHLIl9ty8P1uJofoTXZpDQNbGxjY2lDG/mvkBYL7TT6SHBLfEwcKq7B4DZND9Cq7rBo9YoKZRNIKBrY2FFXVtfUWIrcxhsUi/pzHEDnpYpUc8uLadPyZVc4jomOlVaxFagsDWxuj+pcwsJGHiphwEeLPfwrGoDCsTS3COxsyOXKID5BhtZjw3zoGtlZo0FRDLZEnkYGKEy99ESH9JjM5xAdV1JpZDdkGBrZWGGBgYCOPYfAPRMzJtyFm1p2o1zR88WcOftjD5BBfLLFR6xjYWiE9/Dn4MXmC4P7HI1GmlYnrgX0FVVgiI4fUcT5rX1TBwNYmBrY2sCqS3MkUHoe4cx9H5IQLUVldg1eZHOLzKmv5QNMWBrY2lFSx2E/uETHxEsSf/wQMgWFYfagQ7/2RxeQQUn1rqXUMbG1giY1cLaBTfyRIckjficgrq8YLyw4hm8O60V/YxtY2BrY28CQilyaHzLoDMbNuV11NPt2ajWV7C3gAqMk9iVWRbWFga4PG8bTIBUIGTlUp/H6x3bA3vxIvrklHFZNDqLl70l9jRgb6Gbl/WsDA1gbGNXImU3g84s97AhHj56rkkJdWp2N7DkcOodZV1dYzsLWCgc2G0f2JHM5gQMSkeYg/7zEYAkKw6mAh3tuYxR1NNldHRgZzZ7WEgY3IxQKSByDx0iUI7jMeOaXVeOGXQ5xni+zCB+7WMbC1gQU2cmRySOzp9yPm5FtVcsgnW7KwfF8hdzDZzWjkaJGtYWBrAysiyVGCuo9EYMow7MmvUskhkgBA1B4mAwNbaxjYiFxg+Z58TO0Vhfe35GIHk0PIAcP9UcsY2FrBemxylJUHitQPkSOYGNdaxY4QrWD7GhF5IraxtY6BjYjIy7CNrXUMbK1g4ggReSI2sbWOga0VrMYmIk9kZFZkqxjY2sg88uejERF5GLaxtY6BrQ3B/qa23kJE5FJ83m4dA1sbggO4i4jIs5pIWBXZOt612xDCEhsReRBOV9M2BrY2BPtzFxGR54gI4rgabeFduw0ssRGRJwkLZLt/WxjY2hhSi09HRORJIgJZYmsLA1srzBoQzqcjIvKwEpvG8f5axcDWRvZROJ+OiMjDSmz1HBapVQxsre0cAxtqicizSPMIR0VqHQNbKwwGA6KYgUREHiQmxJ8dtNvAwNYGJo8QkSeJDfFXD93UMga2NoQF+iHIj7uJiDxDVLC/uzfB4/GObYOk8ADnHwkiojbIQzZHHmkbA5sNksIDbXkbEZFTRbO0ZhMGtjbUmTUkMrARkQdIYO2RTRjY2mAysCqSiDxD54hA1MvIEdQqBrY2SPZRciSrIonI/bpGBYEJkW1jYLOxXtuPM/sRkQcENs7F1jYGNlt2ksGAhDBmRhKRe6fQYqq/bRjYbJTIRlsicqPOEUHc/zZiYLOBNNYy5Z+I3KlLVKCaSovaxsBmA2msZSdtInKnzpFBYFyzDQObLTvJYFCNtkRE7pISFQQTk9hswsBmo4SwQIQGcEp2InI9iWdsDrEdA5sdesWG2PN2IiKHkKDG0prtGNjsSCDpE8fARkSu15mDRNiFgc1G8rTUL56BjYhcr2dMCIfSsgMDmx06RQSqTpJERK40KCmMVZF24F3aznEj2c5GRK4UF+qPmBBOLmoPBjY729l6s52NiFyof3woNHZgswsDmz07ywD0iw+1bw8TEXXAgMRQcKYa+zCw2VkVKdlJnJqdiFz1MN0/ge1r9mJgs3eHGQzoGRNs944mIrJXt+hgPki3AwObndifjYhcpX9CKNP824GBzd4dZjiSektE5GyDEsPUPYfsw8DWrna2IJWCS0TkLEF+RqREB6l7DtmHga0dZE6kEZ0j2vOnREQ26Rsfotr0yX4MbO0gp9qoLgxsROQ8AxPDUMc8/3ZhYGsHqRpIjgxCPKsjicgJpF1NaoX82MDWLgxsHaiOHM7qSCJyUmkthPM/thsDW0eqI7uyOpKIHG9M10im+XcAA1tHqiMjgpAQFtCR/U9EdFQ25NDkcI7m3wEMbB2tjkwO78gqiIgaGd45HCYmQ3YIA1uHqyMjO3YEiIisjE2JAgfz7xgGtg5WR8rko6yOJCJHiA72U1NjGZkN2SEMbB1kNrOzNhE5xuiukaqJgzqGga2DZGCAiT2iVLUkEVFHHNstkvcSB2Bgc0B1ZFSwPwdGJqIO6RolWdaBHBvSARjYHDSVzXE9ox2xKiLyUey75jgMbA5gMhrUvEkc8Z+I2sPfZMDYlEj2XXMQBjYHkbFKJ3RnqY2I2ldaC/bn7dhRuCcdWGqTJBJ58iIispXcMab2ieUOcyAGNgcPhTOWHbaJyA4DEkNVX1hOKOo4DGwONrVvLNN1icj2e0afWA547GAMbA4kT1zxoQFM/ScimyRHBKJffCiTRhyMgc0Jqf9T+8Q4erVEpEPT+7K05gwMbE5IIukTF4oukUGOXjUR6Yh0DxrRJYKlNSdgYHNSqW3WgDhnrJqIdGJan1iO4u8kDGxOKrUN7hSOnjHBzlg9EXm5yCA/jOsWxdKakzCwObHUNntwgrNWT0RebEpvtsM7EwObE0ttPWNDMDAx1FkfQUReWlqb3DOapTUnYmBz8lxtswclsF8bETU4dWA8jDLfFTkNA5sTySy4yZFBKvOJiEimphnLtjWnY2BzMpkN97RBCeAQkkR05tBEjjLiAgxszt7BBgOig/0wrnuUsz+KiDzY0E7h6BUbwrY1F/BzxYcQMGtAPH5PLUZNveazu8NcX491HzyPXSu/QkVRHkKjE9D/hNkYddbVDQPA/v7+c9iz6luU5WXB5OeP+F4DMfb8m5DU95gW11tTWY617z6D/Wt/RGVJAeJ7DMDEeXcgsc+Qhvds/PxV9SOGz7kMw0+7tOG1rN2bsXLJAzhzwfswmnhJkONJjc0ZQxJUDQ7b15yPV7ELyE07JMCE43vF4Pvd+fBVf3z2Mv787n1MveERxKT0Rs7eP7HsubsQEBqGY06+UL0nKrk7Jl9+FyISu6Kupgqbv3oTX91/BS54fimCI5tPkV7+/N3IT9uDE29agJCYeOxe8RW+vO8ynPf0VwiLTUTewV0qYJ581yJomoZvHr4WKcMmILZbX5jr67Dixftw/NX3MaiR00zuGYOYEH+O4O8irIp01Y42GDC9XxzCAkzwVVm7NqHHmCnoPuo4RCR0Ru/xM9B12ATk7Nna8J6+k2eh6zHjEZnUFbEpfTDx0ttQU1GGvEO7ml1nXXUV9q35AeMv/DeSB41CVKduGHPu9YhMSlFBVBQe3q+CWJchx6Lr0HHq37JMSCkueeCoRqU7IkcKDTDhZI5E5FIMbC7kbzSoxmNfldRvGNK3rEFRxkH1e96Bncjc8QdShk9q9v31tTXY9v2HCAgJR1z3/s2+x2yuh2auhykgoNFyv4AgtW4hgawo8yBKczNQknMYxRmHEJPSB8VZqdix7DNV1UnkLCf1i0OAycjSmguxKtLFnbZHdY3E72nF2J5dDl8z8vQrUFtZjnduOBlGo0kFpWPPvwn9jjul0fsOrv8Z3z15iyqNhUbH49T5LyM4IrrZdQYEh6qAuf6jxYjp0gvBkbHY8+s3yNq9SZXahCw/du7N+PK+y9Xvx15ws1r2xb3zMP6iW5C68VfV9mf088OkeXeqkh+RI8gEosf1jFZdf8h1DJo0OpDLSONxaVUd7v9xP6rrzD615/f8+n/47Y3HMf7ifyOma29VYvvl1UdUdaMkkVjUVlWgvDAXVSVF2P7jR0jfuhZnPvo+QqJim12vlLyWPfdfZGxfD4PRhPieAxGV3A25+7bj/Ge/bvZvdi7/HPvX/oTjr56Pd64/GWf97wOU5Wfjh4W34qLFP8Dk37gESNQe14zriv4JnG/N1Vhic0NbW3iQH04ZGI+Pt2TDl0hQG3H65egzcWZDFaFUD2749KVGgc0/KES1laFTNyT1OwZvX3cSdvz0CUaecWWz65WS2ZwH31QBsaaiHKEx8fju8X8hIrFLs++vLCnEug8XYc4DbyJ79xaVsGL5kWQSqSqVbSPqiFFdIjjpsJuwjc0dO91gUNUTPXxs9P/a6koYDI1POYPRCM3ceslVM2uqva0tEhAlqFWVFSN10yqVqNKcX197FMfMughhcUnqs831tX9/Vn29qiIl6uh4kOcOS1I1NOR6LLG5iVkDLhjRCQ//tB++0rWtx+gTsP7jFxEW10ml++ft34FNX72BAVNOV69LiUte7zF6CkKi41BVWoSt376L8oJs9Bo/o2E9n8+/FD3HTsPQmXPV79JGJjXq0Z17oDgzFavefEz9u/+UOUdtQ9qm31SJbNoNj6jfE3oPRuHhAzj0x0rVd04CbXRyD5ftE9KnuSM6wd9kZJ81N2Fgc2MiiTQsn9g3Dkt35cEXTLr8LtWResWS+1VHaumgPWj62Rh91jXqdWkfKzp8AEt/vklVFwaFR6nAM+fBt1Tqv0VJVhqqSgobfq+uKMWatxeiLD8LQWGR6DVuusp0lA7e1iQZZeXLD2L6LU+oACak1Db5srvw03N3weQXoPrY+QVy9nNqv3HdIjEwMYy70I2YPOIB87Y9smw/skrbrmojIs8mw+f9d1ovBJgMTO93I7axeYALRiRzahsiLycJ/ReOTIafkUHN3RjYPKBKsntMsJp4kIi816Qe0egbz9R+T8DA5gEk8WHOkER0iWTbDpE3igv1x5whCepaJvdjYPOQQZKlGuPKY7sg2J+HhMibyLV78ahklQFpmaWC3It3UQ+qkpS+LxeNTHb3phCRHab0iUH36GDOs+ZBGNg8LLgN6RSOqb2bn56FiDxLn7gQnDYogSU1D8PA5oFOG5yAnrG+NSoJkbeR+dWuGNsFYLOax2Fg81CXj+ni03O3EXkyf5MBVx3bBYF+Ro7c74EY2DyQNELL5ITzxnRm/zYiDzR3eCd0ighku5qHYmDz4PY2qb+fyZl3iTzKlN4xal5FeQAlz8TA5sEkdfgf/eMxICHU3ZtCRAD6x4di9uAE7gsPx8Dm4WTaC6mSjA9tPKAvEblWbIg/LhvbmbvdCzCweTip7ggwGXH9hBQmkxC5iQxqfPW4rupaZBWk52Ng85L2tqhgf1wzvqvKxiIi15LBjRPDA5gs4iUY2LwouHWNCsK80cyUJHKlUwbGY3jnCJbUvAgDmxeRKpDBSWE4c2iiuzeFyGcyIGf0i3P3ZpCdGNi8MFPyuF5yscW6e1OIdO3YlEicPoQPkd6Igc1LnTIwAZN7cA43ImcY2ikM54/oxGlovBQDmxc7e1gSRnWJcPdmEOlK37gQzBvTRf2b09B4JwY2LyaTGso0N4MSw9y9KUS60Cs2WGUfGw1H2rTJOzGweTH1NGkArhjbGf05OglRh/SICcZ141NgMhgY1LycQeNc5roYnURmpH913WFszih19+YQeZ2UqCDcNKmb6ifKkpr3Y2DTUXAT7/yRibWpxe7eHCKv0SUyEDeroGZkB2ydYGDTESl8S/Xkx1uy8PO+QndvDpHHkxk0ZKgsP6OBQU1HGNh06uvtuVi6K8/dm0HksUZ0DsfFo46M5GOUbBHSDQY2HVu2Nx+fbs1x92YQeZzje0XjzKFJDbUcpC8MbDq3+mAR3t2YiSMtcES+TUKYzKc2tQ9H7tEzBjadkyfSTRmleGN9BurMDG/ku2RiDBmlf2SXCJbSdI6BzUcyJnfnluPltYdRVWd29+YQuVyQnxFXHtsFveNCmM7vAxjYfITZrCG/ohaLV6chu6zG3ZtD5DKRQX64bnxXJIUHMknERzCw+ZB6s6aqI99YfxhbMsvcvTlETpcYFoAbJqYgPNCP6fw+hIHNx1iywJbuzMM3O3KZVEK6NSw5XLWpsY+a72Fg8+EAtyOnHK+tO4zKWra7kX5IIJPMx+N7xaj2ZQ6R5XsY2Hy8arKoshYvrklHRkm1uzeHqMNiQ/xx2djO6BIZxIDmwxjYfJwEN3mqfWtDBv44zAGUyXsN6RSGi0cmc8xHYmCjv9vdftyTjy+35YDd3cibyGhYpw060umaVY8kWGKjRgHuYGGl6sydV17LPUMeLzrYD5eP7aKmneHQWGTBwEbNVk1+sS0HK/YVMmuSPJbMHH/J6GQEcLoZaoKBjVq0P78Cb25g6Y08S6CfEacMjGfWI7WIgY1axNIbeZohSWE4d3gnhAeamPVILWJgI5vsy69QmZNseyN3iAj0w9nHJGJY5wgmiFCbGNjIrtLb53/mYOV+tr2R66aZmdA9CrOHJMKfs1yTjRjYyO5uASy9kSskhQdg7ohk9IgJ5oSgZBcGNmpX6U38tCcf3+3ORzWnwiEHD4k1o18spveNU7+bpKMakR0Y2KjdpGqyvKYeX/yZg7WpxewaQB3WJy4E5w/vhNhQfyaHULsxsFGHWEZ6SC+uwkebs7Avv5J7lOyWHBGI2YMSMDApTNUIsJRGHcHARg5huRltzSxVnbuzSjmZKdk2csisAfEYkxKphnJjQCNHYGAjhwc4gwGqalLmeyuqrOMepqOEBpgwvW8sjusVozIfGdDIkRjYyGkBTlJMVuwrwA+781FWU889TSqgTe0dg+N7x8DPYICRiSHkBAxs5FTmv/q/rUktxrK9BcgpYxWlLwrxN2JK71hMkYBmMjAxhJyKgY1c3gYn0+MwycR32tAm9YzGcT1j4M+ARi7CwEZuCXCpRVX4YXceNmeUcv43HeoXH6IGKR6UFAaNSSHkYgxs5LYqSmlfKaqsVSW41YeK2dHbywX5GVV2owS0hLAApu2T2zCwkduH6RLV9RpW7i/ArweKUFDBSU69SWJ4ACb3iMa4blGqulGOqPRtJHIXo9s+mRzqkksuUeM4Pvroo42Wf/755x49s7Bsm/zI0/603rG4f0Zv3HJcN0zsEaUy6MgzSTLj0E5huHFiCu6e1gsTe0QjwM+ojiWDGrmbn7s3gBwnKCgICxYswFVXXYXo6Giv27WW1O9u0cHoHh2Ms4cmYXtOOdalFmNLVilq64+U7sg95Oj0ig3B8M7hGNElAuGBfg3jhrIfGnkSlth0ZNq0aUhKSsIjjzzS4ns++eQTDBo0CIGBgejevTueeOKJRq/Lsocffhjz5s1DeHg4UlJSsGTJEriSPPGrJ3+jAQMSQnHpmM5YMLMvLhrZSf3Ork+uPBZA3/gQnHNMEh49uQ9uniyl6WgV1AQDGnkiBjYdMZlMKig9++yzSE9PP+r1DRs24Oyzz8a5556LrVu34t5778Xdd9+N119/vdH7JNiNGjUKGzduxLXXXotrrrkGu3btgjtYbpxSzTWySySum5CCh//RB2cMSVTTmXhuJav3kl0uDxDnDU/CozP74saJ3TC+u1QNM5iRd2DyiI7a2IqKilSb2rhx4zBw4EC88sor6vc5c+aoJI25c+ciNzcX33//fcPf3Xrrrfjmm2+wbdu2hhLbpEmT8NZbb6nf5e+kFHjffffh6quvhqd1G6iqrceu3HLszKlQ/2cH8PYJMBnQJy5UVTMekxyOYH8TsxrJa7GNTYeknW3KlCn497//3Wj5jh07cNpppzVaNmHCBCxcuBD19fWqxCeGDh3a8LpUCUpgy8nJgSexlOSC/E0YnBSOoZ3C1bYWV9Vie3Y5duWUq0BXWs2hvJojiTk9Y4PROzZETRXTJTJIVf1aj6zPakbyVgxsOjR58mTMmDEDd9xxhyrJ2cvf37/R7xIwzGYzPJX1DTgyyB9jukaq1HORVVKN7Tll2JlTjv35lajy0UlRo4L9VBCT5A9pM0sMD1TLJZDJ7rNkzjKYkR4wsOmUpP0PGzYM/fr1a1g2YMAArFq1qtH75Pe+ffs2lNb0wPrmnBQRiPiwADVOocgvr8GhwiqkFVchragK6UVVuhugWbpOJIUHoHNkkCqV9YsPRVTwkYeVpnOdMZCRHjGw6dSQIUNUm9ozzzzTsOyWW27B6NGj8cADD+Ccc87B6tWr8dxzz2HRokXQM+ubd2xoAKKD/VU7kmV5aXUdMkuqkVFSrf6fVSo/NWp2cE8WEeiHuDB/JIQGoFNEoJqsMzkyCJFBfg3to03nOGMgI1/AwKZj999/Pz744IOG30eMGIEPP/wQ99xzjwpunTp1Uu9pT3WlN2s6VYqkrofFSZtTCExW1XJSbVlaVYfiqjo19FdJdR1KquSn/sj///pdAqDmwCSOkAATQvxNqh3s738b1XbGhfojMSwQsaH+8DcZGwKYdPGz3nYh/5ZlRL6GWZFEtk6/81cn5aalHqnek+BWWVuvSkgyTY/l/2peOg2ot1p2ZPmRtHoJXmGBR4KXZCK2VKKyzG8nL3NkD6LWMbARuXGMTE8e7ozIW7EqksgNGNCInIcjjxARka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBERka4wsBEREfTk/wFfqWr9tH6nKQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_central['attrition'].value_counts().plot(\n", + " kind='pie',\n", + " autopct='%1.1f%%',\n", + " startangle=90, \n", + " legend=True,\n", + " wedgeprops={\"edgecolor\": \"white\"},\n", + " colors=[\"#6BAED6\", \"#D95F02\"],\n", + ")\n", + "\n", + "plt.title(\"Répartition des employés ayant quitté l'entreprise\")\n", + "plt.ylabel(\"\") \n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 216, + "id": "44a57190-a260-451a-bc2c-db54acc9453a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calcul du taux d’attrition par genre\n", + "attrition_rate_gender = (\n", + " df_central.groupby(\"genre\")[\"attrition\"]\n", + " .value_counts(normalize=True)\n", + " .rename(\"proportion\")\n", + " .reset_index()\n", + ")\n", + "\n", + "# Ne garder que les \"Oui\" (ceux qui ont quitté)\n", + "attrition_rate_gender = attrition_rate_gender[attrition_rate_gender[\"attrition\"] == \"Oui\"]\n", + "\n", + "# Plot\n", + "plt.figure(figsize=(5, 5))\n", + "plt.pie(\n", + " attrition_rate_gender[\"proportion\"],\n", + " labels=attrition_rate_gender[\"genre\"],\n", + " autopct=\"%1.1f%%\",\n", + " colors=[\"#6BAED6\", \"#D95F02\"],\n", + " startangle=90,\n", + " wedgeprops={\"edgecolor\": \"white\"},\n", + ")\n", + "\n", + "plt.title(\"Taux d'attrition par genre\", fontsize=13)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "id": "745733d8-394e-41ce-834d-acef13c241a8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Taux d'attrition par le statut marital\n", + "attrition_rate_statut = (\n", + " df_central.groupby(\"statut_marital\")[\"attrition\"]\n", + " .value_counts(normalize=True)\n", + " .rename(\"taux\")\n", + " .reset_index()\n", + ")\n", + "# Ne garder que les \"Oui\" (ceux qui ont quitté)\n", + "attrition_rate_statut = attrition_rate_statut[attrition_rate_statut[\"attrition\"] == \"Oui\"]\n", + "\n", + "# Tri du plus haut au plus bas\n", + "attrition_rate_statut = attrition_rate_statut.sort_values(\"taux\", ascending=False)\n", + "plt.figure(figsize=(7,5))\n", + "sns.barplot(\n", + " data=attrition_rate_statut,\n", + " x=\"statut_marital\",\n", + " y=\"taux\",\n", + ")\n", + "plt.title(\"Taux d'attrition par statut marital\")\n", + "plt.xlabel(\"Statut marital\")\n", + "plt.ylabel(\"Taux d'attrition\")\n", + "plt.ylim(0, 1)\n", + "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.6)\n", + "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: f\"{y*100:.0f}%\"))\n", + "\n", + "# Étiquettes de pourcentage\n", + "for i, v in enumerate(attrition_rate_statut[\"taux\"].values):\n", + " plt.text(i, v + 0.02, f\"{v*100:.0f}%\", ha=\"center\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 217, + "id": "f81bebd7-d42d-4439-9390-98bfbd1dab05", + "metadata": {}, + "outputs": [], + "source": [ + "# Taux d'attrition par âge\n", + "attrition_by_age = (\n", + " df_central.groupby(\"age\")[\"attrition\"] \n", + " .value_counts(normalize=True)\n", + " .rename(\"rate\")\n", + " .reset_index()\n", + ")\n", + "# Garder uniquement les employés qui ont quitté (\"Oui\")\n", + "attrition_by_age = attrition_by_age[attrition_by_age[\"attrition\"] == \"Oui\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 218, + "id": "082c0566-0275-4a9f-9b98-d03d31359102", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(8, 5))\n", + "sns.lineplot(data=attrition_by_age, x=\"age\", y=\"rate\", color=\"#D95F02\", marker=\"o\")\n", + "plt.title(\"Taux d'attrition par âge\", fontsize=13)\n", + "plt.xlabel(\"Âge\")\n", + "plt.ylabel(\"Taux d'attrition\")\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "ee883b03-03b8-4ed1-a4fa-e5ec4b9737a6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Taux d’attrition par département\n", + "plt.figure(figsize=(8, 5))\n", + "sns.countplot(\n", + " data=df_central,\n", + " x=\"departement\",\n", + " hue=\"attrition\",\n", + ")\n", + "\n", + "plt.title(\"Taux d'attrition par département\", fontsize=13)\n", + "plt.xlabel(\"Département\")\n", + "plt.ylabel(\"Nombre d'employés\")\n", + "plt.xticks(rotation=90)\n", + "plt.legend(title=\"Attrition\", loc=\"upper right\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 222, + "id": "8f076834-8842-480f-8abb-f0d08ac1ffaf", + "metadata": {}, + "outputs": [], + "source": [ + "# Table des taux (proportion de \"Oui\" par niveau de satisfaction)\n", + "tab = (\n", + " pd.crosstab(\n", + " df_central[\"satisfaction_employee_nature_travail\"],\n", + " df_central[\"attrition\"],\n", + " normalize=\"index\"\n", + " )\n", + " .rename(columns={\"Oui\": \"taux_attrition\"})\n", + " .reset_index()\n", + " .loc[:, [\"satisfaction_employee_nature_travail\", \"taux_attrition\"]]\n", + " .sort_values(\"satisfaction_employee_nature_travail\")\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "id": "8ed5d590-d78d-4b0d-91dd-bd04fd2d5e9c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(7,5))\n", + "sns.barplot(\n", + " data=tab,\n", + " x=\"satisfaction_employee_nature_travail\",\n", + " y=\"taux_attrition\",\n", + ")\n", + "plt.title(\"Taux d’attrition selon la satisfaction (nature du travail)\")\n", + "plt.xlabel(\"Niveau de satisfaction (1 = faible, 4/5 = élevé)\")\n", + "plt.ylabel(\"Taux d’attrition\")\n", + "plt.ylim(0, 1)\n", + "plt.grid(axis='y', linestyle='--', alpha=0.6)\n", + "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: f\"{y*100:.0f}%\"))\n", + "\n", + "# étiquettes %\n", + "for i, v in enumerate(tab[\"taux_attrition\"].values):\n", + " plt.text(i, v + 0.02, f\"{v*100:.0f}%\", ha=\"center\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "id": "a07750e7-94e7-4d51-8046-6e324a61a021", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Taux d'attrition par heures supplémentaires (proportion de \"Oui\" par groupe)\n", + "tab = (\n", + " pd.crosstab(\n", + " df_central[\"heure_supplementaires\"], \n", + " df_central[\"attrition\"], \n", + " normalize=\"index\"\n", + " )\n", + " .rename(columns={\"Oui\": \"taux_attrition\"})\n", + " .reset_index()\n", + " .loc[:, [\"heure_supplementaires\", \"taux_attrition\"]]\n", + " .sort_values(\"heure_supplementaires\")\n", + ")\n", + "\n", + "plt.figure(figsize=(6,5))\n", + "sns.barplot(\n", + " data=tab,\n", + " x=\"heure_supplementaires\",\n", + " y=\"taux_attrition\",\n", + ")\n", + "plt.title(\"Taux d'attrition par heures supplémentaires\")\n", + "plt.xlabel(\"Heures supplémentaires\")\n", + "plt.ylabel(\"Taux d'attrition\")\n", + "plt.ylim(0, 1)\n", + "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.6)\n", + "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y, _: f\"{y*100:.0f}%\"))\n", + "\n", + "# étiquettes %\n", + "for i, v in enumerate(tab[\"taux_attrition\"].values):\n", + " plt.text(i, v + 0.02, f\"{v*100:.0f}%\", ha=\"center\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 225, + "id": "9edc1795-0d8e-41b8-989e-e66abc750b34", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Le taux d’attrition par niveau de salaire\n", + "# Regrouper par revenu mensuel et attrition, puis compter le nombre d'employés\n", + "rate_att = (\n", + " df_central\n", + " .groupby([df_central[\"revenu_mensuel\"].round(-3).rename(\"revenu_mensuel\"),\n", + " \"attrition\"])\n", + " .size()\n", + " .reset_index(name=\"counts\")\n", + " .sort_values(\"revenu_mensuel\")\n", + ")\n", + "\n", + "# Lineplot à deux lignes (restés vs partis)\n", + "plt.figure(figsize=(10, 6))\n", + "sns.lineplot(\n", + " data=rate_att,\n", + " x=\"revenu_mensuel\",\n", + " y=\"counts\",\n", + " hue=\"attrition\", # \"Non\" et \"Oui\"\n", + " hue_order=[\"Non\", \"Oui\"], # ajuste si \"No/Yes\"\n", + " palette=[\"#6BAED6\", \"#D95F02\"], # bleu = Non, terracotta = Oui\n", + " marker=\"o\"\n", + ")\n", + "\n", + "plt.title(\"Nombre d'employés selon le revenu mensuel et l'attrition\", fontsize=13)\n", + "plt.xlabel(\"Revenu mensuel (arrondi au millier, €)\")\n", + "plt.ylabel(\"Nombre d'employés\")\n", + "plt.grid(True, linestyle=\"--\", alpha=0.6)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "20700554-4be6-4545-bc1f-007a336c4dd2", + "metadata": {}, + "source": [ + "Le taux d'attrition est manifestement élevé pour les revenus faibles, inférieurs à 5 000 dollars par mois.\n", + "\n", + "La courbe descend au fur et à mesure que le salaire augmente :\n", + "\n", + "Cela signifie que plus le revenu est élevé, plus le risque de départ est faible" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "id": "1bc02f81-315c-4ae3-b319-bbc6fd7efe59", + "metadata": {}, + "outputs": [], + "source": [ + "# Taux d’attrition par niveau d’augmentation\n", + "taux_aug = (\n", + " pd.crosstab(df_central[\"augementation_salaire_precedente\"],\n", + " df_central[\"attrition\"],\n", + " normalize=\"index\")\n", + " .reset_index()\n", + " .rename(columns={\"Oui\":\"taux_attrition\"})\n", + " .sort_values(\"augementation_salaire_precedente\")\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 227, + "id": "e53d851f-0dd7-40d4-bbc0-0aea1093fa59", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10,5))\n", + "sns.lineplot(data=taux_aug, x=\"augementation_salaire_precedente\", y=\"taux_attrition\",\n", + " marker=\"o\", color=\"#D95F02\")\n", + "plt.title(\"Taux d’attrition selon l’augmentation de salaire précédente\")\n", + "plt.xlabel(\"Augmentation de salaire précédente (%)\")\n", + "plt.ylabel(\"Taux d’attrition\")\n", + "plt.gca().yaxis.set_major_formatter(plt.FuncFormatter(lambda y,_: f\"{y*100:.1f}%\"))\n", + "plt.grid(True, ls=\"--\", alpha=0.6)\n", + "plt.tight_layout(); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3072bb1f-ee95-43ac-b91b-075b45ac9219", + "metadata": {}, + "source": [ + "### KDE = Kernel Density Estimation \n", + "\n", + "Utilisée pour visualiser la densité de probabilité d'une variable continue. \n", + "La KDE décrit la densité de probabilité à différentes valeurs d'une variable continue. " + ] + }, + { + "cell_type": "code", + "execution_count": 228, + "id": "f1301945-7830-4435-83ed-d278f4da0d1d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.kdeplot(\n", + " data=df_central, x=\"revenu_mensuel\",\n", + " hue=\"attrition\", # Non / Oui\n", + " common_norm=False, fill=True, alpha=0.35,\n", + " bw_adjust=1.0, clip=(0, None)\n", + ")\n", + "plt.title(\"Distribution du revenu mensuel — employés partis vs restés\")\n", + "plt.xlabel(\"Revenu mensuel (€)\"); plt.ylabel(\"Densité\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "id": "f5deeb4e-9583-4d95-96dc-a2ec062285cf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "sns.kdeplot(\n", + " data=df_central, x=\"distance_domicile_travail\",\n", + " hue=\"attrition\", # Non / Oui\n", + " common_norm=False, fill=True, alpha=0.35,\n", + " bw_adjust=1.0, clip=(0, None,)\n", + ")\n", + "plt.title(\"Distribution de la distance domicile–travail selon l’attrition\")\n", + "plt.xlabel(\"Distance domicile / travail\"); plt.ylabel(\"Densité\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 230, + "id": "972732ca-78ab-451f-bd52-a3096ad1c6d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "sns.kdeplot(\n", + " data=df_central, x=\"annes_sous_responsable_actuel\",\n", + " hue=\"attrition\", # Non / Oui\n", + " common_norm=False, fill=True, alpha=0.35,\n", + " bw_adjust=1.0, clip=(0, None,)\n", + ")\n", + "plt.title(\"Distribution des années sous la responsable actuel selon l'attrition\")\n", + "plt.xlabel(\"Années sous la responsable actuel\"); plt.ylabel(\"Densité\")\n", + "plt.xlim(left=0) \n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 231, + "id": "baf3003d-6e4c-45b2-9176-a037ded25dc8", + "metadata": {}, + "outputs": [], + "source": [ + "df_central.to_csv(\"df_central.csv\", index=False)" + ] + }, + { + "cell_type": "markdown", + "id": "61d5bb9a-c833-4091-acc0-069b76b9a4d7", + "metadata": {}, + "source": [ + "# EDA Remarques final\n", + "\n", + "- L'ensemble de données ne comporte **aucune valeur manquante ou erronée**, et toutes les caractéristiques sont du type de données correct.\n", + " \n", + "- L'ensemble de données est **déséquilibré**, la majorité des observations décrivant des employés actuellement en poste.\n", + "\n", + "- Les employés **célibataires** représentent la plus grande proportion de départs, par rapport à leurs homologues mariés et divorcés.\n", + "\n", + "- Environ 10 % des **départs** ont eu lieu après **deux ans d'ancienneté** dans l'entreprise.\n", + "\n", + "- Les personnes qui vivent **loin de leur lieu de travail** présentent une proportion plus élevée de départs que leurs homologues.\n", + "\n", + "- Les personnes qui voyagent **fréquemment** présentent une proportion plus élevée de départs que leurs homologues.\n", + "\n", + "- Les personnes qui doivent faire des **heures supplémentaires** présentent une proportion plus élevée de départs que leurs homologues.\n", + "\n", + "- Les employés qui ont déjà travaillé dans plusieurs entreprises auparavant présentent une proportion plus élevée de départs que leurs homologues.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6eb03cf-c57a-424c-8884-1eb97b0eb294", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Data science (Classification automatique d'informations)", + "language": "python", + "name": "classification_informations" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}