AED durée emploi.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9378a572",
   "metadata": {},
   "source": [
    "# Informations sur la base de données.\n",
    "\n",
    "#### Buts de l'analyse\n",
    "\n",
    "#### Étapes de traitement des données"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9041bf2f",
   "metadata": {},
   "source": [
    "#### Importation des librairies utilisées."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "95e142e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "import sklearn\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)\n",
    "\n",
    "import scipy.stats as stats\n",
    "\n",
    "%matplotlib inline\n",
    "os.environ['KMP_DUPLICATE_LIB_OK']='True'\n",
    "# Pour la reproductibilité des résultats\n",
    "np.random.seed(43)\n",
    "\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "warnings.filterwarnings('ignore', '.*do not.*', )\n",
    "warnings.warn('Do not show this message')\n",
    "\n",
    "# some nice colors from http://colorbrewer2.org/\n",
    "COLOR1 = '#7fc97f'\n",
    "COLOR2 = '#beaed4'\n",
    "COLOR3 = '#fdc086'\n",
    "COLOR4 = '#ffff99'\n",
    "COLOR5 = '#386cb0'\n",
    "\n",
    "sns.set(rc={'figure.figsize':(9, 4)})\n",
    "sns.set_theme(context=\"notebook\", style=\"white\", palette=\"Set2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca7a8161",
   "metadata": {},
   "source": [
    "## Recommandations \n",
    "\n",
    "### Analyse des forme\n",
    "\n",
    "\n",
    "* **Ligne et colonne: (6498063, 7)**\n",
    "\n",
    "niveau de detail, une ligne par :\n",
    "                  Géographie, \n",
    "                  Classification nationale des professions(CNP4),\n",
    "                  Sexe,\n",
    "                  Durée de l'emploi,\t\n",
    "                  Période de référence, mensuelle\n",
    "\n",
    "* **Type de variables: 2 variables de type numérique et 5 variables qualitative.**\n",
    "\n",
    "    * Géographie : Canada, Province ou territoire\n",
    "    * Classification nationale des professions(CNP4)\n",
    "    * Sexe\n",
    "    * Mois: nombre moyenne de la durée d'emploi\n",
    "    * Personnes : le nombre des personnes \n",
    "    * Période de référence : mensuelle\n",
    "\n",
    "La repartition des individus est egale pour toutes les modalites des variables Sexe, CNP, Géographie,.Périoade de référence \n",
    "\n",
    "* La variable Regions contient 11 modalites\n",
    "* La variable CNP contient 51 modalites\n",
    "* La variable Sexe contienttient 3 modaliteses\n",
    "* La variable Durée de l'emploi contient 9 modalites\n",
    "* La variable Année/Mois contient 429 modalites\n",
    "\n",
    "\n",
    "    \n",
    "* **Valeurs extremes **\n",
    "\n",
    "On va supposer, pour l'exemple, que la base de données contient 0,5% de valeurs aberrantes de toutes sortes. Ce n'est pas exagéré. Cela représente $0,005*168300 \\approx 841$ valeurs.\n",
    "\n",
    "On utilise la méthode de la [forêt d'isolation](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) pour détecter et éliminer un maximum de 0,5% des valeurs possiblement aberrantes.  \n",
    "    \n",
    "### Analyse de structure\n",
    "\n",
    "* Conserver seulement les variables :  \n",
    "    * Géographie : Canada, Province ou territoire,\n",
    "    * Classification nationale des professions(CNP4)\n",
    "    * Sexe\n",
    "    * Personnes\n",
    "    * Duree moyenne d'emploi\n",
    "    * Période de référence : annuelle\n",
    "\n",
    "\n",
    "### Nettoyage des donnees: Recommandations\n",
    "\n",
    "* Filtrer la modalite \"Les deux sexes\" de la variable **Sexe**\n",
    "* Filtrer la modalite \"'Canada'\" de la variable **Region**\n",
    "* Agreger l'information pour avoir une fréquence annuelle \n",
    "* Plage temporelle : 1997-2021\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ebb6f94",
   "metadata": {},
   "source": [
    "# Partie I: Prétraitement des données.\n",
    "\n",
    "## Lecture des bases de données en format CSV.\n",
    "\n",
    "Les données sont écrites dans un DataFrame de la librairie Pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "db4e15f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_db():\n",
    "    duree_emploi_CNP=pd.read_csv(\"duree_emploi_CNP\",sep=\",\")\n",
    "    return duree_emploi_CNP#,postes_vacants_CNP,caractéristiques_population_active,heures_habituellement_travaille,heures_effectivement_travaille,personnes_avec_plus_un_emploi,raison_quitter_emploi,absence_travail_temps_plein"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a9395687",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP=load_db()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "788d0a01",
   "metadata": {},
   "source": [
    "## Explorer les données"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0c778a54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>Mois</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>121 à 240 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>13 à 60 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Année/Mois  Régions                                      CNP    Sexe  \\\n",
       "0    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "1    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "2    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "3    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "4    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "\n",
       "  Durée de l'emploi  Mois  Personnes  \n",
       "0        1 à 3 mois   NaN       14.1  \n",
       "1    121 à 240 mois   NaN       19.7  \n",
       "2      13 à 60 mois   NaN       53.4  \n",
       "3  241 mois ou plus   NaN        7.1  \n",
       "4        4 à 6 mois   NaN       12.4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e21b4e5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>Mois</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6498058</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498059</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>61 à 120 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498060</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>7 à 12 mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498061</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498062</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Année/Mois                Régions                    CNP  \\\n",
       "6498058    2022-09  Île-du-Prince-Édouard  Vente et services [6]   \n",
       "6498059    2022-09  Île-du-Prince-Édouard  Vente et services [6]   \n",
       "6498060    2022-09  Île-du-Prince-Édouard  Vente et services [6]   \n",
       "6498061    2022-09  Île-du-Prince-Édouard  Vente et services [6]   \n",
       "6498062    2022-09  Île-du-Prince-Édouard  Vente et services [6]   \n",
       "\n",
       "                   Sexe            Durée de l'emploi  Mois  Personnes  \n",
       "6498058  Les deux sexes                   4 à 6 mois   NaN        2.9  \n",
       "6498059  Les deux sexes                61 à 120 mois   NaN        1.8  \n",
       "6498060  Les deux sexes                  7 à 12 mois   NaN        1.6  \n",
       "6498061  Les deux sexes                Durée moyenne  83.8        NaN  \n",
       "6498062  Les deux sexes  Emploi total, tous les mois   NaN       16.5  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0941eb5",
   "metadata": {},
   "source": [
    "### Dimensions du dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e5487147",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Les dimensions du jeux des donnees:  (6498063, 7)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Les dimensions du jeux des donnees: \", duree_emploi_CNP.shape)\n",
    "print() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "66af9abb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre d’éléments: 45486441\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Size of our data set\n",
    "## le nombre de lignes multiplié par le nombre de colonnes si DataFrame.\n",
    "print(\"Nombre d’éléments:\", duree_emploi_CNP.size)\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d841b22",
   "metadata": {},
   "source": [
    "Le nombre d'individus est égale à 6498063 et le nombre de descripteurs est égale à 7"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67f90838",
   "metadata": {},
   "source": [
    "### Type des donnees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6974a10d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Année/Mois            object\n",
       "Régions               object\n",
       "CNP                   object\n",
       "Sexe                  object\n",
       "Durée de l'emploi     object\n",
       "Mois                 float64\n",
       "Personnes            float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ec9d8287",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "object     5\n",
       "float64    2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.dtypes.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c62b6977",
   "metadata": {},
   "source": [
    "Le jeu des données a 2 variables de type numérique et 5 variables qualitative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a4ab7d2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Mois</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>722007.000000</td>\n",
       "      <td>5.776056e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>95.811712</td>\n",
       "      <td>2.788090e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>42.514423</td>\n",
       "      <td>2.198379e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>70.100000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>95.500000</td>\n",
       "      <td>2.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>119.500000</td>\n",
       "      <td>1.020000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>474.000000</td>\n",
       "      <td>1.996600e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Mois     Personnes\n",
       "count  722007.000000  5.776056e+06\n",
       "mean       95.811712  2.788090e+01\n",
       "std        42.514423  2.198379e+02\n",
       "min         0.000000  0.000000e+00\n",
       "25%        70.100000  0.000000e+00\n",
       "50%        95.500000  2.000000e+00\n",
       "75%       119.500000  1.020000e+01\n",
       "max       474.000000  1.996600e+04"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9380200c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6498063 entries, 0 to 6498062\n",
      "Data columns (total 7 columns):\n",
      " #   Column             Dtype  \n",
      "---  ------             -----  \n",
      " 0   Année/Mois         object \n",
      " 1   Régions            object \n",
      " 2   CNP                object \n",
      " 3   Sexe               object \n",
      " 4   Durée de l'emploi  object \n",
      " 5   Mois               float64\n",
      " 6   Personnes          float64\n",
      "dtypes: float64(2), object(5)\n",
      "memory usage: 347.0+ MB\n"
     ]
    }
   ],
   "source": [
    "duree_emploi_CNP.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c0c84396",
   "metadata": {},
   "source": [
    "### Affichage du nombre de valeurs manquantes Nans dans le DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "becf99d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Année/Mois                 0\n",
       "Régions                    0\n",
       "CNP                        0\n",
       "Sexe                       0\n",
       "Durée de l'emploi          0\n",
       "Mois                 5776056\n",
       "Personnes             722007\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "02abc5c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Durée moyenne    722007\n",
       "Name: Durée de l'emploi, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP[duree_emploi_CNP.Mois.notnull()][\"Durée de l'emploi\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ffb0b14f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>Mois</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Hommes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>88.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>72.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Arts, culture, sports et loisirs [5]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>42.6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Arts, culture, sports et loisirs [5]</td>\n",
       "      <td>Hommes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>86.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498025</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Hommes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>170.1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498034</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>182.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498043</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>77.6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498052</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Hommes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>92.7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6498061</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>722007 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Année/Mois                Régions  \\\n",
       "7          1987-01                Alberta   \n",
       "16         1987-01                Alberta   \n",
       "25         1987-01                Alberta   \n",
       "34         1987-01                Alberta   \n",
       "43         1987-01                Alberta   \n",
       "...            ...                    ...   \n",
       "6498025    2022-09  Île-du-Prince-Édouard   \n",
       "6498034    2022-09  Île-du-Prince-Édouard   \n",
       "6498043    2022-09  Île-du-Prince-Édouard   \n",
       "6498052    2022-09  Île-du-Prince-Édouard   \n",
       "6498061    2022-09  Île-du-Prince-Édouard   \n",
       "\n",
       "                                                       CNP            Sexe  \\\n",
       "7                  Affaires, finance et administration [1]          Femmes   \n",
       "16                 Affaires, finance et administration [1]          Hommes   \n",
       "25                 Affaires, finance et administration [1]  Les deux sexes   \n",
       "34                    Arts, culture, sports et loisirs [5]          Femmes   \n",
       "43                    Arts, culture, sports et loisirs [5]          Hommes   \n",
       "...                                                    ...             ...   \n",
       "6498025  Superviseurs/superviseures et métiers techniqu...          Hommes   \n",
       "6498034  Superviseurs/superviseures et métiers techniqu...  Les deux sexes   \n",
       "6498043                              Vente et services [6]          Femmes   \n",
       "6498052                              Vente et services [6]          Hommes   \n",
       "6498061                              Vente et services [6]  Les deux sexes   \n",
       "\n",
       "        Durée de l'emploi   Mois  Personnes  \n",
       "7           Durée moyenne   66.4        NaN  \n",
       "16          Durée moyenne   88.7        NaN  \n",
       "25          Durée moyenne   72.3        NaN  \n",
       "34          Durée moyenne   42.6        NaN  \n",
       "43          Durée moyenne   86.8        NaN  \n",
       "...                   ...    ...        ...  \n",
       "6498025     Durée moyenne  170.1        NaN  \n",
       "6498034     Durée moyenne  182.0        NaN  \n",
       "6498043     Durée moyenne   77.6        NaN  \n",
       "6498052     Durée moyenne   92.7        NaN  \n",
       "6498061     Durée moyenne   83.8        NaN  \n",
       "\n",
       "[722007 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP[duree_emploi_CNP.Mois.notnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "043c1aa1",
   "metadata": {},
   "source": [
    "### Pivoter la Duree de l emploi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8337ff3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df1_=duree_emploi_CNP[duree_emploi_CNP.Mois.notnull()][[\"Année/Mois\",\"Régions\",\"CNP\",\"Sexe\",\"Durée de l'emploi\",\"Mois\"]].set_index([\"Année/Mois\",\"Régions\",\"CNP\",\"Sexe\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cc423c80",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Durée de l'emploi', 'Mois'], dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1_.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f0f23bbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1 à 3 mois                     722007\n",
       "121 à 240 mois                 722007\n",
       "13 à 60 mois                   722007\n",
       "241 mois ou plus               722007\n",
       "4 à 6 mois                     722007\n",
       "61 à 120 mois                  722007\n",
       "7 à 12 mois                    722007\n",
       "Emploi total, tous les mois    722007\n",
       "Name: Durée de l'emploi, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP[duree_emploi_CNP.Mois.isnull()][\"Durée de l'emploi\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "29656059",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2_=duree_emploi_CNP[duree_emploi_CNP.Mois.isnull()][[\"Année/Mois\",\"Régions\",\"CNP\",\"Sexe\",\"Durée de l'emploi\",\"Personnes\"]].set_index([\"Année/Mois\",\"Régions\",\"CNP\",\"Sexe\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0f88005b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1987-01</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Alberta</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Affaires, finance et administration [1]</th>\n",
       "      <th>Femmes</th>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Femmes</th>\n",
       "      <td>121 à 240 mois</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Femmes</th>\n",
       "      <td>13 à 60 mois</td>\n",
       "      <td>53.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Femmes</th>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Femmes</th>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2022-09</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Île-du-Prince-Édouard</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Vente et services [6]</th>\n",
       "      <th>Les deux sexes</th>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Les deux sexes</th>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Les deux sexes</th>\n",
       "      <td>61 à 120 mois</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Les deux sexes</th>\n",
       "      <td>7 à 12 mois</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Les deux sexes</th>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5776056 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                   Durée de l'emploi  \\\n",
       "Année/Mois Régions               CNP                                     Sexe                                          \n",
       "1987-01    Alberta               Affaires, finance et administration [1] Femmes                           1 à 3 mois   \n",
       "                                                                         Femmes                       121 à 240 mois   \n",
       "                                                                         Femmes                         13 à 60 mois   \n",
       "                                                                         Femmes                     241 mois ou plus   \n",
       "                                                                         Femmes                           4 à 6 mois   \n",
       "...                                                                                                              ...   \n",
       "2022-09    Île-du-Prince-Édouard Vente et services [6]                   Les deux sexes             241 mois ou plus   \n",
       "                                                                         Les deux sexes                   4 à 6 mois   \n",
       "                                                                         Les deux sexes                61 à 120 mois   \n",
       "                                                                         Les deux sexes                  7 à 12 mois   \n",
       "                                                                         Les deux sexes  Emploi total, tous les mois   \n",
       "\n",
       "                                                                                         Personnes  \n",
       "Année/Mois Régions               CNP                                     Sexe                       \n",
       "1987-01    Alberta               Affaires, finance et administration [1] Femmes               14.1  \n",
       "                                                                         Femmes               19.7  \n",
       "                                                                         Femmes               53.4  \n",
       "                                                                         Femmes                7.1  \n",
       "                                                                         Femmes               12.4  \n",
       "...                                                                                            ...  \n",
       "2022-09    Île-du-Prince-Édouard Vente et services [6]                   Les deux sexes        2.6  \n",
       "                                                                         Les deux sexes        2.9  \n",
       "                                                                         Les deux sexes        1.8  \n",
       "                                                                         Les deux sexes        1.6  \n",
       "                                                                         Les deux sexes       16.5  \n",
       "\n",
       "[5776056 rows x 2 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3f591882",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP_=df1_.merge(df2_,how=\"inner\",left_index=True, right_index=True).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "41243875",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Durée de l'emploi_x</th>\n",
       "      <th>Mois</th>\n",
       "      <th>Durée de l'emploi_y</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>121 à 240 mois</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>13 à 60 mois</td>\n",
       "      <td>53.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>66.4</td>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>12.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5776051</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5776052</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5776053</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>61 à 120 mois</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5776054</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>7 à 12 mois</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5776055</th>\n",
       "      <td>2022-09</td>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Vente et services [6]</td>\n",
       "      <td>Les deux sexes</td>\n",
       "      <td>Durée moyenne</td>\n",
       "      <td>83.8</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5776056 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Année/Mois                Régions  \\\n",
       "0          1987-01                Alberta   \n",
       "1          1987-01                Alberta   \n",
       "2          1987-01                Alberta   \n",
       "3          1987-01                Alberta   \n",
       "4          1987-01                Alberta   \n",
       "...            ...                    ...   \n",
       "5776051    2022-09  Île-du-Prince-Édouard   \n",
       "5776052    2022-09  Île-du-Prince-Édouard   \n",
       "5776053    2022-09  Île-du-Prince-Édouard   \n",
       "5776054    2022-09  Île-du-Prince-Édouard   \n",
       "5776055    2022-09  Île-du-Prince-Édouard   \n",
       "\n",
       "                                             CNP            Sexe  \\\n",
       "0        Affaires, finance et administration [1]          Femmes   \n",
       "1        Affaires, finance et administration [1]          Femmes   \n",
       "2        Affaires, finance et administration [1]          Femmes   \n",
       "3        Affaires, finance et administration [1]          Femmes   \n",
       "4        Affaires, finance et administration [1]          Femmes   \n",
       "...                                          ...             ...   \n",
       "5776051                    Vente et services [6]  Les deux sexes   \n",
       "5776052                    Vente et services [6]  Les deux sexes   \n",
       "5776053                    Vente et services [6]  Les deux sexes   \n",
       "5776054                    Vente et services [6]  Les deux sexes   \n",
       "5776055                    Vente et services [6]  Les deux sexes   \n",
       "\n",
       "        Durée de l'emploi_x  Mois          Durée de l'emploi_y  Personnes  \n",
       "0             Durée moyenne  66.4                   1 à 3 mois       14.1  \n",
       "1             Durée moyenne  66.4               121 à 240 mois       19.7  \n",
       "2             Durée moyenne  66.4                 13 à 60 mois       53.4  \n",
       "3             Durée moyenne  66.4             241 mois ou plus        7.1  \n",
       "4             Durée moyenne  66.4                   4 à 6 mois       12.4  \n",
       "...                     ...   ...                          ...        ...  \n",
       "5776051       Durée moyenne  83.8             241 mois ou plus        2.6  \n",
       "5776052       Durée moyenne  83.8                   4 à 6 mois        2.9  \n",
       "5776053       Durée moyenne  83.8                61 à 120 mois        1.8  \n",
       "5776054       Durée moyenne  83.8                  7 à 12 mois        1.6  \n",
       "5776055       Durée moyenne  83.8  Emploi total, tous les mois       16.5  \n",
       "\n",
       "[5776056 rows x 8 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ef53ffad",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP_.rename(columns={\"Mois\":\"Duree moyenne emploi\",\"Durée de l'emploi_y\":\"Durée de l'emploi\"},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "557d86b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP_=duree_emploi_CNP_.drop(\"Durée de l'emploi_x\",axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8c8f3ada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5776056, 7)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP_.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5052ce64",
   "metadata": {},
   "source": [
    "### Analyse caractéristiques catégorielles"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20b730fe",
   "metadata": {},
   "source": [
    "#### Séparer les données en colonnes numériques et catégorielle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a896538d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable catégorielle: ['Année/Mois', 'Régions', 'CNP', 'Sexe', \"Durée de l'emploi\"]\n",
      "Variable numériques: ['Duree moyenne emploi', 'Personnes']\n"
     ]
    }
   ],
   "source": [
    "cat_col=[]\n",
    "num_col=[]\n",
    "\n",
    "for col in duree_emploi_CNP_.columns:\n",
    "    if duree_emploi_CNP_[col].dtypes==\"object\":\n",
    "        cat_col.append(col)\n",
    "    else:\n",
    "        num_col.append(col)\n",
    "print (\"Variable catégorielle:\",cat_col)\n",
    "print(\"Variable numériques:\",num_col)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c924f5e",
   "metadata": {},
   "source": [
    "#### Nombre valeurs uniques"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "386e6519",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Année/Mois (429) :\n",
      "1987-01    13464\n",
      "2011-08    13464\n",
      "2011-06    13464\n",
      "2011-05    13464\n",
      "2011-04    13464\n",
      "           ...  \n",
      "1998-09    13464\n",
      "1998-08    13464\n",
      "1998-07    13464\n",
      "1998-06    13464\n",
      "2022-09    13464\n",
      "Name: Année/Mois, Length: 429, dtype: int64\n",
      "\n",
      "\n",
      "Régions (11) :\n",
      "Alberta                    525096\n",
      "Canada                     525096\n",
      "Colombie-Britannique       525096\n",
      "Manitoba                   525096\n",
      "Nouveau-Brunswick          525096\n",
      "Nouvelle-Écosse            525096\n",
      "Ontario                    525096\n",
      "Québec                     525096\n",
      "Saskatchewan               525096\n",
      "Terre-Neuve-et-Labrador    525096\n",
      "Île-du-Prince-Édouard      525096\n",
      "Name: Régions, dtype: int64\n",
      "\n",
      "\n",
      "CNP (51) :\n",
      "Affaires, finance et administration [1]                                                                                                                           113256\n",
      "Personnel professionnel en gestion des affaires et en finance [11]                                                                                                113256\n",
      "Personnel des métiers de l'électricité, de la construction et des industries [72]                                                                                 113256\n",
      "Personnel des services de protection public de première ligne [43]                                                                                                113256\n",
      "Personnel en finance, assurance et personnel assimilé en administration des affaires [13]                                                                         113256\n",
      "Personnel en opération d'équipement de transport et de machinerie lourde et autre personnel assimilé à l'entretien [75]                                           113256\n",
      "Personnel en ressources naturelles, en agriculture et en production connexe [84]                                                                                  113256\n",
      "Personnel paraprofessionnel des services juridiques, sociaux, communautaires et de l'enseignement [42]                                                            113256\n",
      "Personnel professionnel des arts et de la culture [51]                                                                                                            113256\n",
      "Personnel professionnel des sciences naturelles et appliquées [21]                                                                                                113256\n",
      "Personnel professionnel des soins de santé (sauf soins infirmiers) [31]                                                                                           113256\n",
      "Personnel professionnel du droit et des services gouvernementaux, sociaux et communautaires [41]                                                                  113256\n",
      "Personnel professionnel en services d'enseignement [40]                                                                                                           113256\n",
      "Personnel de supervision en services et personnel de services spécialisés [63]                                                                                    113256\n",
      "Personnel professionnel en soins infirmiers [30]                                                                                                                  113256\n",
      "Personnel technique assimilé aux sciences naturelles et appliquées [22]                                                                                           113256\n",
      "Personnel technique des arts, de la culture, des sports et des loisirs [52]                                                                                       113256\n",
      "Personnel technique des soins de santé [32]                                                                                                                       113256\n",
      "Représentants/représentantes de services et autre personnel de services à la clientèle et personnalisés [65]                                                      113256\n",
      "Représentants/représentantes des ventes et vendeurs/vendeuses - commerce de gros et de détail [64]                                                                113256\n",
      "Ressources naturelles, agriculture et production connexe [8]                                                                                                      113256\n",
      "Sciences naturelles et appliquées et domaines apparentés [2]                                                                                                      113256\n",
      "Secteur de la santé [3]                                                                                                                                           113256\n",
      "Superviseurs/superviseures et métiers techniques dans les ressources naturelles, l'agriculture et la production connexe [82]                                      113256\n",
      "Personnel des métiers d'entretien et d'opération d'équipement [73]                                                                                                113256\n",
      "Personnel de supervision du travail administratif et financier et personnel administratif [12]                                                                    113256\n",
      "Arts, culture, sports et loisirs [5]                                                                                                                              113256\n",
      "Manoeuvres à la récolte, en aménagement paysager et en ressources naturelles [86]                                                                                 113256\n",
      "Cadres intermédiaires dans le commerce de détail, de gros et des services à la clientèle [06]                                                                     113256\n",
      "Cadres intermédiaires des métiers, des transports, de la production et des services d'utilité publique [07-09]                                                    113256\n",
      "Cadres intermédiaires spécialisés/cadres intermédiaires spécialisées [01-05]                                                                                      113256\n",
      "Cadres supérieurs/cadres supérieures [00]                                                                                                                         113256\n",
      "Dispensateurs/dispensatrices de soins et personnel de soutien en enseignement, en droit et en protection publique [44]                                            113256\n",
      "Emploi total, toutes les professions                                                                                                                              113256\n",
      "Enseignement, droit et services sociaux, communautaires et gouvernementaux [4]                                                                                    113256\n",
      "Fabrication et services d'utilité publique [9]                                                                                                                    113256\n",
      "Gestion [0]                                                                                                                                                       113256\n",
      "Manoeuvres dans la transformation, la fabrication et les services d'utilité publique [96]                                                                         113256\n",
      "Monteurs/monteuses dans la fabrication [95]                                                                                                                       113256\n",
      "Personnel de supervision des ventes au détail et personnel des ventes spécialisées [62]                                                                           113256\n",
      "Métiers, transport, machinerie et domaines apparentés [7]                                                                                                         113256\n",
      "Opérateurs/opératrices de machinerie reliée à la transformation et à la fabrication et autre personnel assimilé [94]                                              113256\n",
      "Personnel d'installation, de réparation et d'entretien et manutentionnaires [74]                                                                                  113256\n",
      "Personnel de coordination de la distribution, du suivi et des horaires [15]                                                                                       113256\n",
      "Personnel de soutien de bureau [14]                                                                                                                               113256\n",
      "Personnel de soutien des métiers, manoeuvres et aides d'entreprise en construction et autre personnel assimilé [76]                                               113256\n",
      "Personnel de soutien des services de santé [34]                                                                                                                   113256\n",
      "Personnel de soutien des ventes [66]                                                                                                                              113256\n",
      "Personnel de soutien en service et autre personnel de service, n.c.a. [67]                                                                                        113256\n",
      "Personnel de supervision dans la transformation, la fabrication et les services d'utilité publique et opérateurs/opératrices de poste central de contrôle [92]    113256\n",
      "Vente et services [6]                                                                                                                                             113256\n",
      "Name: CNP, dtype: int64\n",
      "\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sexe (3) :\n",
      "Femmes            1925352\n",
      "Hommes            1925352\n",
      "Les deux sexes    1925352\n",
      "Name: Sexe, dtype: int64\n",
      "\n",
      "\n",
      "Durée de l'emploi (8) :\n",
      "1 à 3 mois                     722007\n",
      "121 à 240 mois                 722007\n",
      "13 à 60 mois                   722007\n",
      "241 mois ou plus               722007\n",
      "4 à 6 mois                     722007\n",
      "61 à 120 mois                  722007\n",
      "7 à 12 mois                    722007\n",
      "Emploi total, tous les mois    722007\n",
      "Name: Durée de l'emploi, dtype: int64\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for col in cat_col:\n",
    "    print(col,'({})'.format(duree_emploi_CNP_[col].nunique()),\":\")\n",
    "    print(duree_emploi_CNP_[col].value_counts())\n",
    "    print()\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca52ab19",
   "metadata": {},
   "source": [
    "* La variable Regions contient 11 modalites\n",
    "* La variable CNP contient 51 modalites\n",
    "* La variable Sexe contienttient 3 modaliteses\n",
    "* La variable Durée de l'emploi contient 9 modalites\n",
    "* La variable Année/Mois contient 429 modalites\n",
    "\n",
    "\n",
    "Note: La répartition des données est égale pour toutes les modalités de chaque catégories"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6313b252",
   "metadata": {},
   "source": [
    "### Analyse caractéristiques numériques"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "83196e27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Duree moyenne emploi</th>\n",
       "      <th>Personnes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.776056e+06</td>\n",
       "      <td>5.776056e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.581171e+01</td>\n",
       "      <td>2.788090e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.251440e+01</td>\n",
       "      <td>2.198379e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7.010000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.550000e+01</td>\n",
       "      <td>2.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.195000e+02</td>\n",
       "      <td>1.020000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.740000e+02</td>\n",
       "      <td>1.996600e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Duree moyenne emploi     Personnes\n",
       "count          5.776056e+06  5.776056e+06\n",
       "mean           9.581171e+01  2.788090e+01\n",
       "std            4.251440e+01  2.198379e+02\n",
       "min            0.000000e+00  0.000000e+00\n",
       "25%            7.010000e+01  0.000000e+00\n",
       "50%            9.550000e+01  2.000000e+00\n",
       "75%            1.195000e+02  1.020000e+01\n",
       "max            4.740000e+02  1.996600e+04"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP_.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be93b93e",
   "metadata": {},
   "source": [
    "La durée moyenne de travail est de 96 mois (~ 8 ans).\n",
    "Au moins 75% des personnes ont travailler 119.5 mois (~ 10 ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "074637c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP_0=duree_emploi_CNP_[duree_emploi_CNP_[\"Duree moyenne emploi\"]==0.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "700a90e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.9332028636841474"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(duree_emploi_CNP_[duree_emploi_CNP_[\"Duree moyenne emploi\"]==0.0].shape[0]/duree_emploi_CNP_.shape[0])*100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c8c8f1",
   "metadata": {},
   "source": [
    "Il y a 4% (227.184) occurences dont les variables duree moyenne emploi, et personnes ont la valeur 0.0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5e8d85aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>level_4</th>\n",
       "      <th>Personnes</th>\n",
       "      <th>Duree moyenne emploi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alberta</td>\n",
       "      <td>Cadres supérieurs/cadres supérieures [00]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alberta</td>\n",
       "      <td>Cadres supérieurs/cadres supérieures [00]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alberta</td>\n",
       "      <td>Cadres supérieurs/cadres supérieures [00]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alberta</td>\n",
       "      <td>Cadres supérieurs/cadres supérieures [00]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alberta</td>\n",
       "      <td>Cadres supérieurs/cadres supérieures [00]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227179</th>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227180</th>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227181</th>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227182</th>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227183</th>\n",
       "      <td>Île-du-Prince-Édouard</td>\n",
       "      <td>Superviseurs/superviseures et métiers techniqu...</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>Emploi total, tous les mois</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227184 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Régions  \\\n",
       "0                     Alberta   \n",
       "1                     Alberta   \n",
       "2                     Alberta   \n",
       "3                     Alberta   \n",
       "4                     Alberta   \n",
       "...                       ...   \n",
       "227179  Île-du-Prince-Édouard   \n",
       "227180  Île-du-Prince-Édouard   \n",
       "227181  Île-du-Prince-Édouard   \n",
       "227182  Île-du-Prince-Édouard   \n",
       "227183  Île-du-Prince-Édouard   \n",
       "\n",
       "                                                      CNP    Sexe  \\\n",
       "0               Cadres supérieurs/cadres supérieures [00]  Femmes   \n",
       "1               Cadres supérieurs/cadres supérieures [00]  Femmes   \n",
       "2               Cadres supérieurs/cadres supérieures [00]  Femmes   \n",
       "3               Cadres supérieurs/cadres supérieures [00]  Femmes   \n",
       "4               Cadres supérieurs/cadres supérieures [00]  Femmes   \n",
       "...                                                   ...     ...   \n",
       "227179  Superviseurs/superviseures et métiers techniqu...  Femmes   \n",
       "227180  Superviseurs/superviseures et métiers techniqu...  Femmes   \n",
       "227181  Superviseurs/superviseures et métiers techniqu...  Femmes   \n",
       "227182  Superviseurs/superviseures et métiers techniqu...  Femmes   \n",
       "227183  Superviseurs/superviseures et métiers techniqu...  Femmes   \n",
       "\n",
       "                  Durée de l'emploi  level_4  Personnes  Duree moyenne emploi  \n",
       "0                        1 à 3 mois        0        0.0                   0.0  \n",
       "1                        1 à 3 mois        0        0.0                   0.0  \n",
       "2                        1 à 3 mois        0        0.0                   0.0  \n",
       "3                        1 à 3 mois        0        0.0                   0.0  \n",
       "4                        1 à 3 mois        0        0.0                   0.0  \n",
       "...                             ...      ...        ...                   ...  \n",
       "227179  Emploi total, tous les mois        0        0.0                   0.0  \n",
       "227180  Emploi total, tous les mois        0        0.0                   0.0  \n",
       "227181  Emploi total, tous les mois        0        0.0                   0.0  \n",
       "227182  Emploi total, tous les mois        0        0.0                   0.0  \n",
       "227183  Emploi total, tous les mois        0        0.0                   0.0  \n",
       "\n",
       "[227184 rows x 7 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def process_date(dg):\n",
    "    return pd.DataFrame([[\n",
    "                        dg[\"Personnes\"].sum(),\n",
    "                        dg[\"Duree moyenne emploi\"].mean(),\n",
    "                        ]], columns=[\"Personnes\", \"Duree moyenne emploi\"])\n",
    "\n",
    "duree_emploi_CNP_0.groupby([\"Régions\",\"CNP\",\"Sexe\",\"Durée de l'emploi\",\"Année/Mois\"]).apply(process_date).reset_index(4, drop=True).reset_index(drop=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17c7b22f",
   "metadata": {},
   "source": [
    "### Agregation par année"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9395cbec",
   "metadata": {},
   "outputs": [],
   "source": [
    "duree_emploi_CNP_['Annee'] = duree_emploi_CNP_['Année/Mois'].str[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "79d9bfe7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Année/Mois</th>\n",
       "      <th>Régions</th>\n",
       "      <th>CNP</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Duree moyenne emploi</th>\n",
       "      <th>Durée de l'emploi</th>\n",
       "      <th>Personnes</th>\n",
       "      <th>Annee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>66.4</td>\n",
       "      <td>1 à 3 mois</td>\n",
       "      <td>14.1</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>66.4</td>\n",
       "      <td>121 à 240 mois</td>\n",
       "      <td>19.7</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>66.4</td>\n",
       "      <td>13 à 60 mois</td>\n",
       "      <td>53.4</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>66.4</td>\n",
       "      <td>241 mois ou plus</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1987-01</td>\n",
       "      <td>Alberta</td>\n",
       "      <td>Affaires, finance et administration [1]</td>\n",
       "      <td>Femmes</td>\n",
       "      <td>66.4</td>\n",
       "      <td>4 à 6 mois</td>\n",
       "      <td>12.4</td>\n",
       "      <td>1987</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Année/Mois  Régions                                      CNP    Sexe  \\\n",
       "0    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "1    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "2    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "3    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "4    1987-01  Alberta  Affaires, finance et administration [1]  Femmes   \n",
       "\n",
       "   Duree moyenne emploi Durée de l'emploi  Personnes Annee  \n",
       "0                  66.4        1 à 3 mois       14.1  1987  \n",
       "1                  66.4    121 à 240 mois       19.7  1987  \n",
       "2                  66.4      13 à 60 mois       53.4  1987  \n",
       "3                  66.4  241 mois ou plus        7.1  1987  \n",
       "4                  66.4        4 à 6 mois       12.4  1987  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duree_emploi_CNP_.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bee57329",
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_date(dg):\n",
    "    return pd.DataFrame([[\n",
    "                        dg[\"Personnes\"].sum(),\n",
    "                        dg[\"Duree moyenne emploi\"].mean(),\n",
    "                        ]], columns=[\"Personnes\", \"Duree moyenne emploi\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8ba25a8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_duree_emploi=duree_emploi_CNP_.groupby([\"Régions\",\"CNP\",\"Sexe\",\"Durée de l'emploi\",\"Annee\"]).apply(process_date).reset_index(5, drop=True).reset_index(drop=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "cd30576a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Personnes</th>\n",
       "      <th>Duree moyenne emploi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>484704.000000</td>\n",
       "      <td>484704.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>332.247406</td>\n",
       "      <td>95.852020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2616.941711</td>\n",
       "      <td>38.159629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>71.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.300000</td>\n",
       "      <td>95.391667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>121.300000</td>\n",
       "      <td>118.008333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>227826.900000</td>\n",
       "      <td>322.808333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Personnes  Duree moyenne emploi\n",
       "count  484704.000000         484704.000000\n",
       "mean      332.247406             95.852020\n",
       "std      2616.941711             38.159629\n",
       "min         0.000000              0.000000\n",
       "25%         3.000000             71.850000\n",
       "50%        23.300000             95.391667\n",
       "75%       121.300000            118.008333\n",
       "max    227826.900000            322.808333"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duree_emploi.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1d511ee",
   "metadata": {},
   "source": [
    "## Visualisation des données"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "beb067b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtre_sexe=df_duree_emploi['Sexe'].isin(['Femmes','Hommes'])\n",
    "sns.lineplot(data=df_duree_emploi[filtre_sexe], \n",
    "             x=\"Annee\", \n",
    "             y='Duree moyenne emploi',\n",
    "             hue='Sexe',\n",
    "            markers=True,\n",
    "            dashes=False)\n",
    "plt.title(label=\"Evolution de la durée d'emploi homme vs femme,1987-2022 (Source: Donnees StatCanada)\",\n",
    "          fontdict={'fontsize':10}, loc='center')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d117e4e",
   "metadata": {},
   "source": [
    "Avec les année la difference homme vs femme de la durée d'emploi a diminuer.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "83c60b3b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtre_sexe=df_duree_emploi['Sexe'].isin(['Femmes','Hommes'])\n",
    "sns.lineplot(data=df_duree_emploi[filtre_sexe], \n",
    "             x=\"Annee\", \n",
    "             y='Duree moyenne emploi',\n",
    "             hue='Sexe',\n",
    "            markers=True,\n",
    "            dashes=False)\n",
    "plt.title(label=\"Evolution de la durée d'emploi homme vs femme,1987-2022 (Source: Donnees StatCanada)\",\n",
    "          fontdict={'fontsize':10}, loc='center')\n",
    "plt.xticks(rotation=75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "824f995b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1116.25x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "filtre_sexe_Ont_Qc=(df_duree_emploi['Sexe'].isin(['Femmes','Hommes'])) & (df_duree_emploi['Régions'].isin(['Ontario','Québec']))\n",
    "sns.relplot(data=df_duree_emploi[filtre_sexe_Ont_Qc],\n",
    "             x=\"Annee\", \n",
    "             y='Duree moyenne emploi',\n",
    "             hue='Sexe',\n",
    "             col='Régions',\n",
    "             kind='line',\n",
    "             #markers=True, \n",
    "            dashes=True\n",
    "            \n",
    "            )\n",
    "plt.title(label='Evolution du salaire horaire moyenne homme vs femme,1997-2021 (Source: Donnees StatCanada)',\n",
    "          fontdict={'fontsize':10}, loc='left',y=1.1)\n",
    "plt.xticks(rotation=75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69bbf37f",
   "metadata": {},
   "source": [
    "### Distribution des effectifs par region, region /sexe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "561d0270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x1200 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 616.25x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sal_empl_sexe=salaire_employe_CNP['Sexe'].isin(['Femmes','Hommes'])\n",
    "filtre_sexe=df_duree_emploi['Sexe'].isin(['Femmes','Hommes'])\n",
    "\n",
    "plt.figure(figsize=(8,12))\n",
    "sns.catplot(data=df_duree_emploi[filtre_sexe], x=\"Régions\", \n",
    "            y=\"Duree moyenne emploi\", \n",
    "            kind=\"box\",\n",
    "            hue='Sexe',\n",
    "            #palette=\"pastel\",\n",
    "           dodge=True)\n",
    "plt.title(label=\"Distribution de la durée moyenne d'emploi selon regions et sexe,donnees 1987-2022(source Statistique Canada)\",\n",
    "          fontdict={'fontsize':10}, loc='center')\n",
    "plt.xticks(rotation=75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0441ebe4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Régions', 'CNP', 'Sexe', 'Durée de l'emploi', 'Annee', 'Personnes',\n",
       "       'Duree moyenne emploi'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duree_emploi.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ce4b893a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1 à 3 mois', '121 à 240 mois', '13 à 60 mois', '241 mois ou plus',\n",
       "       '4 à 6 mois', '61 à 120 mois', '7 à 12 mois',\n",
       "       'Emploi total, tous les mois'], dtype=object)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duree_emploi[\"Durée de l'emploi\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f75bb9f",
   "metadata": {},
   "source": [
    "## Filtres"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a78148a",
   "metadata": {},
   "source": [
    "* Filtrer la modalite \"Les deux sexes\" de la variable **Sexe**\n",
    "* Filtrer la modalite \"'Canada'\" de la variable **Region**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b655925e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def filtre_df():\n",
    "    filtre_sexe=df_duree_emploi.Sexe.isin([\"Femmes\",\"Hommes\"])\n",
    "    filtre_region=df_duree_emploi[\"Régions\"]!=\"Canada\"\n",
    "    filtre_annee=(pd.Series(df_duree_emploi[\"Annee\"]).between(\"1997\",\"2021\"))\n",
    "    \n",
    "    df1=df_duree_emploi[filtre_sexe]\n",
    "    df2=df1[filtre_region]\n",
    "    df=df2[filtre_annee]\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "10f6d80b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\daian\\AppData\\Local\\Temp\\ipykernel_2652\\2564007636.py:7: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  df2=df1[filtre_region]\n",
      "C:\\Users\\daian\\AppData\\Local\\Temp\\ipykernel_2652\\2564007636.py:8: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  df=df2[filtre_annee]\n"
     ]
    }
   ],
   "source": [
    "df_duree_emploi=filtre_df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "67395a55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(204000, 7)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_duree_emploi.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aa2ad08",
   "metadata": {},
   "source": [
    "## Exporter to csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "55c7a6b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_duree_emploi.to_csv(\"df_duree_emploi\", index = False)"
   ]
  }
 ],
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