DataScience_Lab1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c6c13a65",
   "metadata": {},
   "source": [
    "# Lab 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d218686",
   "metadata": {},
   "source": [
    "## The main question"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e50bf3d",
   "metadata": {},
   "source": [
    "The datasets chosen for this laboratory project concern activated and terminated employment contracts in Lombardy. \n",
    "The goal is to get a prevision on the number of activated and terminated contracts based on parameters such date, educational qualification and geographical area. In this way it is possible to get an overwiew about the labour market based on the input data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "202a2b8c",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f1604cf2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcac633d",
   "metadata": {},
   "source": [
    "## Datasets Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9851300f",
   "metadata": {},
   "source": [
    "The considered datasets are available on the Lombardy Region website at the following links:\n",
    "\n",
    "[__Activated contracts__](https://www.dati.lombardia.it/Attivit-Produttive/Rapporti-di-lavoro-attivati/qbau-cyuc)\n",
    "\n",
    "[__Terminated contracts__](https://www.dati.lombardia.it/Attivit-Produttive/Rapporti-di-lavoro-cessati/nwz3-p6vm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ebf016d",
   "metadata": {},
   "source": [
    "### Datasets overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d124a9a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DATA</th>\n",
       "      <th>GENERE</th>\n",
       "      <th>ETA</th>\n",
       "      <th>SETTOREECONOMICODETTAGLIO</th>\n",
       "      <th>TITOLOSTUDIO</th>\n",
       "      <th>CONTRATTO</th>\n",
       "      <th>MODALITALAVORO</th>\n",
       "      <th>PROVINCIAIMPRESA</th>\n",
       "      <th>ITALIANO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>09/05/2020</td>\n",
       "      <td>F</td>\n",
       "      <td>60</td>\n",
       "      <td>Attività di famiglie e convivenze come datori ...</td>\n",
       "      <td>NESSUN TITOLO DI STUDIO</td>\n",
       "      <td>LAVORO DOMESTICO</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>UCRAINA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12/07/2019</td>\n",
       "      <td>M</td>\n",
       "      <td>43</td>\n",
       "      <td>Gestioni di funicolari, ski-lift e seggiovie s...</td>\n",
       "      <td>LICENZA MEDIA</td>\n",
       "      <td>LAVORO A TEMPO DETERMINATO</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>05/06/2013</td>\n",
       "      <td>F</td>\n",
       "      <td>20</td>\n",
       "      <td>Fabbricazione di altre apparecchiature elettri...</td>\n",
       "      <td>LICENZA MEDIA</td>\n",
       "      <td>APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/03/2010</td>\n",
       "      <td>F</td>\n",
       "      <td>28</td>\n",
       "      <td>Alberghi</td>\n",
       "      <td>DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...</td>\n",
       "      <td>LAVORO INTERMITTENTE A TEMPO DETERMINATO</td>\n",
       "      <td>NON DEFINITO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>06/04/2021</td>\n",
       "      <td>F</td>\n",
       "      <td>49</td>\n",
       "      <td>Rifugi di montagna</td>\n",
       "      <td>LICENZA MEDIA</td>\n",
       "      <td>LAVORO INTERMITTENTE</td>\n",
       "      <td>NON DEFINITO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATA GENERE  ETA                          SETTOREECONOMICODETTAGLIO  \\\n",
       "0  09/05/2020      F   60  Attività di famiglie e convivenze come datori ...   \n",
       "1  12/07/2019      M   43  Gestioni di funicolari, ski-lift e seggiovie s...   \n",
       "2  05/06/2013      F   20  Fabbricazione di altre apparecchiature elettri...   \n",
       "3  12/03/2010      F   28                                           Alberghi   \n",
       "4  06/04/2021      F   49                                 Rifugi di montagna   \n",
       "\n",
       "                                        TITOLOSTUDIO  \\\n",
       "0                            NESSUN TITOLO DI STUDIO   \n",
       "1                                      LICENZA MEDIA   \n",
       "2                                      LICENZA MEDIA   \n",
       "3  DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...   \n",
       "4                                      LICENZA MEDIA   \n",
       "\n",
       "                                           CONTRATTO MODALITALAVORO  \\\n",
       "0                                   LAVORO DOMESTICO    TEMPO PIENO   \n",
       "1                         LAVORO A TEMPO DETERMINATO    TEMPO PIENO   \n",
       "2  APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...    TEMPO PIENO   \n",
       "3           LAVORO INTERMITTENTE A TEMPO DETERMINATO   NON DEFINITO   \n",
       "4                               LAVORO INTERMITTENTE   NON DEFINITO   \n",
       "\n",
       "  PROVINCIAIMPRESA ITALIANO  \n",
       "0          BERGAMO  UCRAINA  \n",
       "1          BERGAMO   ITALIA  \n",
       "2          BERGAMO   ITALIA  \n",
       "3          BERGAMO   ITALIA  \n",
       "4          BERGAMO   ITALIA  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading and showing the first dataset\n",
    "activated_work = pd.read_csv(\"Rapporti_di_lavoro_attivati.csv\")\n",
    "activated_work.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "02bc1cb6",
   "metadata": {
    "scrolled": false
   },
   "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>DATA</th>\n",
       "      <th>GENERE</th>\n",
       "      <th>ETA</th>\n",
       "      <th>SETTOREECONOMICODETTAGLIO</th>\n",
       "      <th>TITOLOSTUDIO</th>\n",
       "      <th>CONTRATTO</th>\n",
       "      <th>MODALITALAVORO</th>\n",
       "      <th>PROVINCIAIMPRESA</th>\n",
       "      <th>ITALIANO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02/04/2019</td>\n",
       "      <td>M</td>\n",
       "      <td>20</td>\n",
       "      <td>Lavori di meccanica generale</td>\n",
       "      <td>DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...</td>\n",
       "      <td>APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>08/06/2018</td>\n",
       "      <td>F</td>\n",
       "      <td>28</td>\n",
       "      <td>Fabbricazione di altre apparecchiature elettri...</td>\n",
       "      <td>DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...</td>\n",
       "      <td>APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>02/02/2016</td>\n",
       "      <td>F</td>\n",
       "      <td>20</td>\n",
       "      <td>Fabbricazione di altre apparecchiature elettri...</td>\n",
       "      <td>DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...</td>\n",
       "      <td>APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12/01/2015</td>\n",
       "      <td>M</td>\n",
       "      <td>59</td>\n",
       "      <td>Gestioni di funicolari, ski-lift e seggiovie s...</td>\n",
       "      <td>LICENZA MEDIA</td>\n",
       "      <td>LAVORO A TEMPO DETERMINATO</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>09/08/2017</td>\n",
       "      <td>M</td>\n",
       "      <td>61</td>\n",
       "      <td>Gestioni di funicolari, ski-lift e seggiovie s...</td>\n",
       "      <td>LICENZA MEDIA</td>\n",
       "      <td>LAVORO A TEMPO DETERMINATO</td>\n",
       "      <td>TEMPO PIENO</td>\n",
       "      <td>BERGAMO</td>\n",
       "      <td>ITALIA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATA GENERE  ETA                          SETTOREECONOMICODETTAGLIO  \\\n",
       "0  02/04/2019      M   20                       Lavori di meccanica generale   \n",
       "1  08/06/2018      F   28  Fabbricazione di altre apparecchiature elettri...   \n",
       "2  02/02/2016      F   20  Fabbricazione di altre apparecchiature elettri...   \n",
       "3  12/01/2015      M   59  Gestioni di funicolari, ski-lift e seggiovie s...   \n",
       "4  09/08/2017      M   61  Gestioni di funicolari, ski-lift e seggiovie s...   \n",
       "\n",
       "                                        TITOLOSTUDIO  \\\n",
       "0  DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...   \n",
       "1  DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...   \n",
       "2  DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CH...   \n",
       "3                                      LICENZA MEDIA   \n",
       "4                                      LICENZA MEDIA   \n",
       "\n",
       "                                           CONTRATTO MODALITALAVORO  \\\n",
       "0  APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...    TEMPO PIENO   \n",
       "1  APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...    TEMPO PIENO   \n",
       "2  APPRENDISTATO PROFESSIONALIZZANTE O CONTRATTO ...    TEMPO PIENO   \n",
       "3                         LAVORO A TEMPO DETERMINATO    TEMPO PIENO   \n",
       "4                         LAVORO A TEMPO DETERMINATO    TEMPO PIENO   \n",
       "\n",
       "  PROVINCIAIMPRESA ITALIANO  \n",
       "0          BERGAMO   ITALIA  \n",
       "1          BERGAMO   ITALIA  \n",
       "2          BERGAMO   ITALIA  \n",
       "3          BERGAMO   ITALIA  \n",
       "4          BERGAMO   ITALIA  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading and showing the second dataset\n",
    "terminated_work = pd.read_csv(\"Rapporti_di_lavoro_cessati.csv\")\n",
    "terminated_work.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0a9bfda4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of elements in the Activated dataset:9579794\n"
     ]
    }
   ],
   "source": [
    "print('Number of elements in the Activated dataset:''%d' %(activated_work.size / activated_work.columns.size))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8551ba93",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of elements in the Terminated dataset: 3741394\n"
     ]
    }
   ],
   "source": [
    "print('Number of elements in the Terminated dataset: %d' %(terminated_work.size / terminated_work.columns.size))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5ab55fbb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9579794 entries, 0 to 9579793\n",
      "Data columns (total 9 columns):\n",
      " #   Column                     Dtype \n",
      "---  ------                     ----- \n",
      " 0   DATA                       object\n",
      " 1   GENERE                     object\n",
      " 2   ETA                        int64 \n",
      " 3   SETTOREECONOMICODETTAGLIO  object\n",
      " 4   TITOLOSTUDIO               object\n",
      " 5   CONTRATTO                  object\n",
      " 6   MODALITALAVORO             object\n",
      " 7   PROVINCIAIMPRESA           object\n",
      " 8   ITALIANO                   object\n",
      "dtypes: int64(1), object(8)\n",
      "memory usage: 657.8+ MB\n"
     ]
    }
   ],
   "source": [
    "# Low level info about Activated dataset - consider to remove it \n",
    "activated_work.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "925009e7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3741394 entries, 0 to 3741393\n",
      "Data columns (total 9 columns):\n",
      " #   Column                     Dtype \n",
      "---  ------                     ----- \n",
      " 0   DATA                       object\n",
      " 1   GENERE                     object\n",
      " 2   ETA                        int64 \n",
      " 3   SETTOREECONOMICODETTAGLIO  object\n",
      " 4   TITOLOSTUDIO               object\n",
      " 5   CONTRATTO                  object\n",
      " 6   MODALITALAVORO             object\n",
      " 7   PROVINCIAIMPRESA           object\n",
      " 8   ITALIANO                   object\n",
      "dtypes: int64(1), object(8)\n",
      "memory usage: 256.9+ MB\n"
     ]
    }
   ],
   "source": [
    "# Low level info about Terminated dataset - consider to remove it \n",
    "terminated_work.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a860b8a2",
   "metadata": {},
   "source": [
    "From the dataset head we can understand that the dataset contains 9 columns:\n",
    "- DATA\n",
    "- GENERE\n",
    "- SETTOREECONOMICODETTAGLIO\n",
    "- TITOLODISTUDIO\n",
    "- CONTRATTO\n",
    "- MODALITADILAVORO \n",
    "- PROVINCIAIMPRESA\n",
    "- ITALIANO"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0324618f",
   "metadata": {},
   "source": [
    "### Activated dataset columns description\n",
    "\n",
    "| Name                      | Description                             |\n",
    "|---------------------------|-----------------------------------------|\n",
    "| DATA                      | Date in which the contract is activated |\n",
    "| GENERE                    | Gender of the employee                  |\n",
    "| ETA                       | Age of the employee                     |\n",
    "| SETTOREECONOMICODETTAGLIO | Field of work                           |\n",
    "| TITOLOSTUDIO              | Educational qualification               |\n",
    "| CONTRATTO                 | Kind of job contract                    |\n",
    "| MODALITALAVORO            | Working time                            |\n",
    "| PROVINCIAIMPRESA          | Province where the employer is located  |\n",
    "| ITALIANO                  | Nationality of the employee             |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "077c9bef",
   "metadata": {},
   "source": [
    "### Terminated dataset columns description\n",
    "\n",
    "\n",
    "| Name                      | Description                             |\n",
    "|---------------------------|-----------------------------------------|\n",
    "| DATA                      | Date in which the contract is terminated|\n",
    "| GENERE                    | Gender of the fired employee            |\n",
    "| ETA                       | Age of the fired employee               |\n",
    "| SETTOREECONOMICODETTAGLIO | Field of work                           |\n",
    "| TITOLOSTUDIO              | Educational qualification               |\n",
    "| CONTRATTO                 | Kind of job contract                    |\n",
    "| MODALITALAVORO            | Working time                            |\n",
    "| PROVINCIAIMPRESA          | Province where the employer is located  |\n",
    "| ITALIANO                  | Nationality of the fired employee       |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "596faacd",
   "metadata": {},
   "source": [
    "By reading the values in \"ITALIANO\" column in both datasets we notice that this name is not appropriate. We decide to rename it to \"NAZIONALITA\", which is the right translation of \"nationality\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "09d41be7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "activated_work.rename(columns={'ITALIANO':'NAZIONALITA'}, inplace=True)\n",
    "terminated_work.rename(columns={'ITALIANO':'NAZIONALITA'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "342a9213",
   "metadata": {},
   "source": [
    "### Checking how many unique values for each column are in the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9887ebdb",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Unique Values Count for each feature in Activated\n",
      "DATA                         2001\n",
      "GENERE                          2\n",
      "ETA                           103\n",
      "SETTOREECONOMICODETTAGLIO    1224\n",
      "TITOLOSTUDIO                   12\n",
      "CONTRATTO                      54\n",
      "MODALITALAVORO                  5\n",
      "PROVINCIAIMPRESA               12\n",
      "NAZIONALITA                   199\n",
      "dtype: int64\n",
      "\n",
      "Unique Values Count for each feature in Terminated\n",
      "DATA                         2323\n",
      "GENERE                          2\n",
      "ETA                           103\n",
      "SETTOREECONOMICODETTAGLIO    1205\n",
      "TITOLOSTUDIO                   12\n",
      "CONTRATTO                      54\n",
      "MODALITALAVORO                  5\n",
      "PROVINCIAIMPRESA               12\n",
      "NAZIONALITA                   197\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print('\\nUnique Values Count for each feature in Activated')\n",
    "print(activated_work.nunique())\n",
    "\n",
    "print('\\nUnique Values Count for each feature in Terminated')\n",
    "print(terminated_work.nunique())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b8a50f1",
   "metadata": {},
   "source": [
    "### Checking how many null values for each column are in the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4e92a2b9",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Null Values Count for each feature in Activated\n",
      "DATA                              0\n",
      "GENERE                            0\n",
      "ETA                               0\n",
      "SETTOREECONOMICODETTAGLIO      2888\n",
      "TITOLOSTUDIO                    580\n",
      "CONTRATTO                         0\n",
      "MODALITALAVORO               440779\n",
      "PROVINCIAIMPRESA                  0\n",
      "NAZIONALITA                       0\n",
      "dtype: int64\n",
      "\n",
      "Null Values Count for each feature in Terminated\n",
      "DATA                            0\n",
      "GENERE                          0\n",
      "ETA                             0\n",
      "SETTOREECONOMICODETTAGLIO    1019\n",
      "TITOLOSTUDIO                  440\n",
      "CONTRATTO                       0\n",
      "MODALITALAVORO                  0\n",
      "PROVINCIAIMPRESA                0\n",
      "NAZIONALITA                     0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#Null Values count\n",
    "print('\\nNull Values Count for each feature in Activated')\n",
    "print(activated_work.isnull().sum())\n",
    "\n",
    "#Null Values count\n",
    "print('\\nNull Values Count for each feature in Terminated')\n",
    "print(terminated_work.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1555d046",
   "metadata": {},
   "source": [
    "### Checking how many duplicated values are in the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3d42ae5d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of duplicated rows in Activated: 1009435\n",
      "\n",
      "Number of duplicated row in Terminated: 131656\n"
     ]
    }
   ],
   "source": [
    "print('\\nNumber of duplicated rows in Activated:'+' %s' %activated_work.duplicated().value_counts()[1])\n",
    "\n",
    "print('\\nNumber of duplicated row in Terminated:'+' %s' %terminated_work.duplicated().value_counts()[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51334d83",
   "metadata": {},
   "source": [
    "## Merging Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8d0fe23",
   "metadata": {},
   "source": [
    "We merge both datasets by adding the column \"TIPOLOGIA\". The possible values in this new column are \"ATTIVATO\" and \"TERMINATO\". Where a value is equal to \"ATTIVATO\", the row is from the Activated dataset, whereas when a value is equal to \"TERMINATO\", the row is from the Terminated dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b58cbe09",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "activated_work['TIPOLOGIA'] = 'ATTIVATO'\n",
    "terminated_work['TIPOLOGIA'] = 'TERMINATO'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cf766a1e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "total = [activated_work, terminated_work]\n",
    "\n",
    "result = pd.concat(total)\n",
    "\n",
    "result_df = pd.DataFrame(result) #check if redundant"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2df678cf",
   "metadata": {},
   "source": [
    "## Graphical Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "91fd37e3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "tempDF = result_df.copy()\n",
    "tempDF['DATA'] = pd.to_datetime(tempDF['DATA'], errors = 'coerce', format='%d/%m/%Y')\n",
    "tempDF['YEAR']= tempDF['DATA'].dt.year\n",
    "tempDF['MONTH']= tempDF['DATA'].dt.month\n",
    "#2600 entry is ignored in the following plots, workaround because it exceeds representation limit\n",
    "#insert it manually, 12/11/2600"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb96772b",
   "metadata": {},
   "source": [
    "### Boxplot on Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d65c1ede",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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e+tKX5uUvf3lWrlw50N6sWbPy6le/esg1uru785KXvCRJctttt+WEE05IkixatCgTJkzI9773vYG6L3nJS7J69eqB9ytXrkwpJUuXLk2SnHzyyenu7k5XV1ee85znDPTtjjvuyOOPP55zzz03XV1dOeigg3LSSSdlzZo1zZ+Rx60DAMBO5g/f95784qcPj1l7z9ln33zsM5/fbPn06dMHgtEFF1yQadOm5fzzz0+STJs2bUhoGuzyyy9PT09PLr300rz//e/PsmXLBsrWrVuXBx98MC960Yty9913j9q/mTNn5sILL8yVV145YvmSJUty7LHHZsmSJZk7d26uueaaJH0B7dOf/nS+/vWvD9Q9//zzs27dutx7772ZOHFiLr300rzlLW/Jd77znaZfKixYAQDATuYXP304H5x9z5i1d9EPxqypEf3Gb/xGPvWpob9763d+53dy5ZVX5vzzz8+SJUty6qmn5q/+6q9GPP+EE07It771rdx777055JBDhpTVWnPVVVdl2bJlefWrX53HHnssU6ZMGbGdDRs25NJLL819992XiRMnJkne8Y535Etf+lJuvfXWvO51r9vmMdoKCAAAbLNHH310yFbAkVaVli5dmje/+c1Djp1yyin5m7/5myTJ9ddfnxNPPHGz15gwYUI+8IEP5GMf+9hTyu64444ceOCBmT17dubMmZMbbrhhs+309vZm//33z9577z3keE9PT1atWjXaMLfIihUAALDNpk6dutmtgG9/+9vz+OOPZ/369U+pM3369Dzvec/LFVdckcMOOyx77LHHqNd529velgsvvDD33XffkONLlizJ/PnzkyTz58/P4sWLc8opp2zzeLaVYMUu4eKLL05vb+8W6z300ENJkhkzZmyxbldXV84666zmvgEA7K4uv/zyHH300Xn/+9+fs846a2CFqt9b3/rWvPvd786iRYu22NakSZPyvve9LxdddNHAsU2bNuXqq6/OddddlwsvvDC11qxduzbr1q3LXnvt9ZQ2Zs+enQceeOAp5StWrBh4WMa2EqzYJfT29mblP9+dTXs8f9R6Ezf8Ikny438ffepP3PDImPUNAGB3VkrJRz/60cyePTv33HNPDj300IGyk08+OT/60Y/ypje9Kf/6r/+6xbbOOOOMfPKTn8y6deuSJLfcckuOOuqo/O3f/u1AndNPPz3XXHNNTjvttKecv+eee+b000/Peeedl0suuSQTJ07M4sWLs2HDhrz2ta9tGqdgxS5j0x7Pz6OHHjdqnan33JgkW10PAIDR9d9j1W/u3LkDj1zvN3Xq1Lzvfe/Lpz71qfzlX/7lwPG99torH/zgB7f6Ws961rNy9tln55xzzknStw3w5JNPHlLnlFNOyZ//+Z+PGKyS5OMf/3jOP//8HHzwwZkwYUIOPfTQXHPNNU1PBEySUmvd6so9PT11+fLlTReEZ8I555yTFT98eEyD1dEv3jef+9znxqyPAADb6u67785hhx028H57P259dzX8c0+SUsqKWmvP8LpWrAAAYCcjBO14PG4dAACgkWAFAADQSLACAICdwNN5NgLtnu7nLVgBAMAObsqUKVm7dq1wtZ30/z6sKVOmbPU5Hl4BAAA7uJkzZ2bNmjX5yU9+Mt5d2W1MmTIlM2fO3Or6ghUAAOzgJk+enAMPPHC8u8EobAUEAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsGJMXXzxxbn44ovHuxvbze42XgAARjZpvDvArqW3t3e8u7Bd7W7jBQBgZFasAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKDRTh+s1q5dm7PPPjtr164d8nq0eoP19vbm+OOPT29v76jtDT9/tGu1juOZNvhaw8e/NX2aM2fOwBcAAIy17fmz8VjZ6YPVZZddlrvuuiuLFy8e8nq0eoMtXLgwv/rVr7Jw4cJR2xt+/mjXah3HM23wtYaPf7z6BAAA/XbGn0N36mC1du3aLF26NLXW3HTTTbnppptSa83SpUuHpNvB9QaX9fb2ZvXq1UmS1atXZ/ny5SO2d9NNNw05v7e3d8T2xmIcY9He1l7rxhtvHDL+watWm+vT8FUqq1YAAIyl7fmz8ViaNN4daHHZZZflySefTJI88cQTA8c3bdqUxYsX573vfe9T6g0uG75Kc8EFF4zY3vC2Fy5cOGJ7YzGOsWhva681eFxJ3+rdokWLmvr00EMP5dFHH80555wzth3fgt7e3kx4vI5ZexMe+2V6e9dtcRy9vb2ZOnXqmF0XAGB3tz1/Nh5LO/WK1c0335yNGzcmSWqtqbXvB+uNGzdm2bJlI9YbXNa/WtNv/fr1I7Y3vO3Vq1eP2N5YjGMs2tvaaw03+PPYnn0CAIB+O+vPoTv1itXrX//63Hjjjdm4cWNKKUn6QtCkSZPyhje8YcR6g8tmzZo1JExMmzYtjz322FPaG972zJkzs2bNmqe0NxbjGIv2tvZaw82aNau5TzNmzEiSfO5znxuT/m6tc845Jyt++PCYtffklL3T9eJ9tziO7b0yBwCwq9uePxuPpZ16xer000/PhAl9Q5g8eXImTerLiRMnTsxpp502Yr3BZQsWLBjS3gUXXDBie5MnT87kyZMHzl+wYMGI7Y3FOMaiva29Vv+Y+g3+PLZnnwAAoN/O+nPoTh2spk+fnrlz56aUknnz5mXevHkppWTu3LmZPn36iPUGl3V1dQ2s0syaNSs9PT0jtjdv3rwh53d1dY3Y3liMYyza29prHXfccUPG39XVtcU+3XbbbUPaG/4eAABabM+fjcfSTr0VMOlLtKtXrx5IsoNfj1av34IFC3LOOecMrNaM1t7g15trb6zG8UwafK2f/exnQ8Y/Xn0CAIB+O+PPoaX/oQxbo6enpy5fvvwZ7A47u/57jsbrHqtHDz1u1HpT77kxSbaq3tFP4x6r7T1eAADGRyllRa21Z/jxnXorIAAAwI5AsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjSaNdwfYtXR1dY13F7ar3W28AACMTLBiTJ111lnj3YXtancbLwAAI7MVEAAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAECjSePdARgrEzc8kqn33LiFOmuTZCvqPZJk37HqGgAAuzjBil1CV1fXVtV76KGNSZIZM7YUmvbd6jYBAKDUWkevUMrvJ/n9JNl///2Pvv/++7dHvwAAAHY4pZQVtdae4ce3uGJVa/1Cki8kSU9Pz+gpDMbJxRdfnN7e3i3We+ihh5IkM2bM2GLdrq6unHXWWc19AwBg12crILuE3t7e/Muqf8r+0zaNWu9X6yYmSf59449GrffA+olj1jcAAHZ9ghW7jP2nbcofvuyXo9b52J17J8lW1wMAgK3hcesAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWjKmLL744F1988Xh3Y7vZ3cYLAMDIJo13B9i19Pb2jncXtqvdbbwAAIzMihUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsdhC9vb05/vjj09vbm7Vr1+bss8/O2rVrh7webmvLhtfbXNl1112XOXPm5Prrr0+SXH755ZkzZ06uuOKKIWVz5swZ+EqSiy66KHPmzMlnPvOZZ+4DAgCAHdik8e4AfRYuXJhf/epXWbhwYY466qjcddddWbx4cWqtA6/f+973Djnnsssu26qy4W1sruxrX/takuSzn/1sTjzxxHzxi19MklxyySUppQyUDXfTTTclSa6//vq89KUvHfPPBgAAdnSC1Q6gt7c3q1evTpKsXr06Dz30UGqtA4Gl1pqlS5fmtNNOy/Tp05P0rTotXbp0i2U33XRTaq0D9U488cQhZf3t33DDDam1DrxfsGDBkD4OLhusf9Wq3wMPPJD9999/7D4cAADYCQhWO4CFCxcOef/EE08M+TNJNm3aNGRl6rLLLsuTTz65xbLhbSxcuHDEso0bNw7pw+23375NY/nZz36Wxx9/POecc842nb+tent786wnxm5n68MbJuTx3t4tjqO3tzdTp04ds+sCALBzco/VDqB/tWq4/pWmpC/4LFu2bKDs5ptvHghDo5UNb2P16tUjlgEAANvOitUOYNasWSOGq/77mmqtmTRpUt7whjcMlL3+9a/PjTfemI0bN45aNryNmTNnZs2aNU8pG0tdXV353Oc+N6Ztbsk555yTf79/+Zi1t+8eT+bZB2x5HNt7ZQ4AgB2TFasdwPD7mSZPnjzwZ//riRMn5rTTThuoc/rpp2fChAlbLJs8eXImTZo0UG/BggVDyvrb76/T79hjj92msTzvec/bpvMAAGBnJljtALq6ujJr1qwkfatX8+bNSykl8+bNy9y5c1NKydy5cwceTpEk06dP36qyefPmDbQ3d+7cdHV1DSnrf3388ccPrGCVUp5y39fgssFuu+22Ie89uAIAgN2RYLWDWLBgQfbcc88sWLAgp59+eo488sicdtppQ14Pt7Vlw+ttruzcc89Nkpx33nlJkne9611JkjPPPPMpZYPNmzcvSXLiiSc2fw4AALAzKk/n/pqenp66fPnY3cfCrqf/nqPxusfqD1/2y1HrfezOvZNkq+o9+4Cerb7HanuPFwCA8VFKWVFr7Rl+3IoVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADSaNN4dYNfS1dU13l3Yrna38QIAMDLBijF11llnjXcXtqvdbbwAAIzMVkAAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjSaNdwdgrDywfmI+dufeo9a5f93EJNlivQfWT8xBY9YzAAB2dYIVu4Surq6tqrfnQw8lSZ49Y8ao9Q56Gm0CAIBgxS7hrLPOGu8uAACwG3OPFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANBIsAIAAGgkWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaCRYAQAANBKsAAAAGglWAAAAjQQrAACARoIVAABAI8EKAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAAACNBCsAAIBGghUAAEAjwQoAAKCRYAUAANCo1Fq3vnIpP0ly/zPXHXZw+yT56Xh3AkZgbrKjMjfZEZmX7Kh2lrl5QK31BcMPPq1gxe6tlLK81toz3v2A4cxNdlTmJjsi85Id1c4+N20FBAAAaCRYAQAANBKseDq+MN4dgM0wN9lRmZvsiMxLdlQ79dx0jxUAAEAjK1YAAACNBKvdWCnlRaWUb5RSvl9KWVVKOadz/PmllGWllH/p/Pm8zvFSSvmTUkpvKeV7pZSXDWrr9E79fymlnD5eY2LXsA1zc04p5RellJWdr/89qK25pZR7O/P2Q+M1JnYNo8zN3+68f7KU0jPsnD/ozL97SylvGnTc3GTMPN25WUqZVUp5dND3zUsGlR1dSrmrMzf/pJRSxmNM7PxGmZefKqXc0/l58ppSynMHnbPTfs+0FXA3Vkp5YZIX1lrvLKXslWRFkjcnOSPJI7XWT3Qm7vNqrR8spRyX5KwkxyV5ZZLP1VpfWUp5fpLlSXqS1E47R9daf7bdB8UuYRvm5pwk59daTxjWzsQk/zfJG5KsSfJ/kpxaa/3+9hoLu5ZR5mZN8mSSv0jfXFzeqX94kiVJXpHk15LcnOTgTnPmJmNmG+bmrCRfr7W+ZIS2/jHJ2Um+k+TGJH9Sa71pe4yDXcso83JmkltrrRtLKRclSefv8536e6YVq91YrfVHtdY7O6/XJbk7yYwkJyW5rFPtsvT9D5DO8cW1z7eTPLfzP8ybkiyrtT7SCVPLkszdfiNhV7MNc3NzXpGkt9b6w1rr40mu6LQB22Rzc7PWenet9d4RTjkpyRW11n+vtd6XpDd989LcZExtw9wcUefv9b1rrd+uff/6vjhb/l4LIxplXv5/tdaNnWrfTl/QSnby75mCFUkG/uXq19P3r1P71lp/1Cn6cZJ9O69nJHlw0GlrOsc2dxyabeXcTJLfKKV8t5RyUynliM4xc5NnzLC5uTm+b7LdbeXcTJIDSyn/VEr5Zinl1Z1jM9I3H/uZm4yJUeblO5P0r4ju1N8zJ413Bxh/pZRpSa5Ocm6t9ZeDt1LXWmspxX5RxsXTmJt3Jjmg1rq+s2X12iQHbe/+svsYPjfHuz/Q72nMzR8l2b/WuraUcnSSawf9oxSMqc3Ny1LK/0yyMcnl49W3sWTFajdXSpmcvol+ea31bzqHH+5sBejfEvBvneMPJXnRoNNndo5t7jhss6czN2utv6y1ru+8vjHJ5FLKPjE3eQZsZm5uju+bbDdPZ252tlqt7bxekeQH6buX5aH8x7asxNyk0ebmZSnljCQnJHl7/Y+HPuzU3zMFq91Y5yk/f5nk7lrrZwcVfS1J/5P9Tk9y3aDjp5U+/znJLzrbsv42yRtLKc8rfU9pe2PnGGyTpzs3Syn79T+1qpTyivR9b1ubvptbDyqlHFhKeVaS+Z02YJuMMjc352tJ5pdSnl1KOTB9K6n/GHOTMfZ052Yp5QWdB/yklPLi9M3NH3b+Xv9lKeU/d9o8Lf/xcwA8LZubl6WUuUk+kOS3aq0bBp2yU3/PtBVw9/aqJL+b5K5SysrOsT9M8okkXyml/Nck9yf5nU7Zjel7ImBvkg1J3pEktdZHSikfTd+kT5I/qrU+sl1GwK7q6c7N/5Lkv5dSNiZ5NMn8zr9+bSylvCd9QX9iki/VWldtv2GwC9rc3Hx2kouTvCDJDaWUlbXWN9VaV5VSvpLk++nb7vLuWuumJDE3GWNPa24m+X+S/FEp5Yn0PTXwzEF/d/+PJIuSTE3fvS+eCMi22ty8/JP0zc1lnX8X/Xat9cyd/Xumx60DAAA0shUQAACgkWAFAADQSLACAABoJFgBAAA0EqwAAAAaCVYAjIvO78S7vZQyb9Cx3y6lLC2lbCqlrBz09aFBdfYppTxRSjlzWHurSyl3lVK+V0r5ZinlgO05HgB2bx63DsC4KaW8JMlVSX49fb9b8Z+SzE3y3VrrtM2c89+TvC3Jk7XW1ww6vjpJT631p6WUjyT5tVrru57hIQBAEitWAIyjWus/J7k+yQeT/O8ki2utP9jCaacmeV+SGaWUmZup8w9JZoxZRwFgCyaNdwcA2O19JMmdSR5P0tM5NrWUsnJQnY/XWq8spbwoyQtrrf9YSvlKkrcm+cwIbc5Ncu0z12UAGEqwAmBc1Vp/VUq5Msn6Wuu/dw4/WmvtHqH6W5N8pfP6iiRfytBg9Y1SyvOTrE/yv56hLgPAU9gKCMCO4MnO15acmuSMzv1UX0tyVCnloEHlv5nkgCQr07cSBgDbhWAFwE6hlHJwkmm11hm11lm11llJPp6+sDWg1roxyblJTuusXgHAM06wAmBHNHXY49Y/kb4Adc2weldnWLBKklrrj5IsSfLuZ76rAOBx6wAAAM2sWAEAADQSrAAAABoJVgAAAI0EKwAAgEaCFQAAQCPBCgAAoJFgBQAA0EiwAgAAaPT/AzneKHU/oQ57AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.boxplot(x=tempDF['YEAR'], y=[\"\"]*len(tempDF), hue=tempDF['TIPOLOGIA'])\n",
    "# Workaround cause bug, y needs to be filled with dummy data\n",
    "ax.set_title(\"Boxplot on Year\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()\n",
    "# TODO: add description of bloxplot (outliers because of impossible year value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bee7c383",
   "metadata": {},
   "source": [
    "### Countplot on Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "176dd39c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.countplot(data=tempDF, x='YEAR', hue = 'TIPOLOGIA')\n",
    "ax.set_title(\"Countplot on Year\")\n",
    "ax.set_yscale(\"log\")\n",
    "for ind, label in enumerate(ax.get_xticklabels()):\n",
    "    if ind % 5 == 0:\n",
    "        label.set_visible(True)\n",
    "    else:\n",
    "        label.set_visible(False)\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()\n",
    "#TODO: add description distribution: most entries are between 2009 and 2021"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "942045b4",
   "metadata": {},
   "source": [
    "### Boxplot on Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b998c5ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.boxplot(data=tempDF, x=\"MONTH\", y=[\"\"]*len(tempDF), hue = 'TIPOLOGIA')\n",
    "# Workaround cause bug, y needs to be filled with dummy data\n",
    "ax.set_title(\"Boxplot on Month\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()\n",
    "#TODO: add description: most of entries are between march and october"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca62b3f2",
   "metadata": {},
   "source": [
    "### Countplot on Genere"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "122db812",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.countplot(data=result_df, x=\"GENERE\", hue=\"TIPOLOGIA\")\n",
    "ax.set_title(\"Boxplot on Month\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()\n",
    "#TODO: add description about more male hired/fired than female"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa5ce584",
   "metadata": {},
   "source": [
    "### Boxplot GENERE vs ETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "80146d1c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax =  sb.boxplot(x=\"GENERE\", y=\"ETA\", hue=\"TIPOLOGIA\", data=result_df)\n",
    "ax.set_title(\"Boxplot on Month\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f14571a2",
   "metadata": {},
   "source": [
    "From this boxplot we can understand that some data are wrong, since there are values higher than 80 years represented in the plot as outliers.\n",
    "From the following graph we can understand better the distribution of the feature 'ETA'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "978397eb",
   "metadata": {},
   "source": [
    "### Countplot on ETA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5d7bee12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.countplot(data=result_df, x=\"ETA\", hue=\"TIPOLOGIA\")\n",
    "ax.set_yscale(\"log\")\n",
    "for ind, label in enumerate(ax.get_xticklabels()):\n",
    "    if ind % 10 == 0:  # every 10th label is kept\n",
    "        label.set_visible(True)\n",
    "    else:\n",
    "        label.set_visible(False)\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "ax.set_title(\"ETA\", fontsize = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dedada3",
   "metadata": {},
   "source": [
    "### Barplot on SETTOREECONOMICODETTAGLIO Activated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a69032e1",
   "metadata": {},
   "source": [
    "'SETTOREECONOMICODETTAGLIO' contains 1224 unique values, therefore we will show the first 20 values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "80aa98ce",
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "sr = activated_work.groupby('SETTOREECONOMICODETTAGLIO').size().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ca9108f5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.barplot(x=sr.values, y=sr.index)\n",
    "ax.set_title(\"SETTORECONOMICODETTAGLIO\", fontsize = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47877e58",
   "metadata": {},
   "source": [
    "### Barplot on SETTOREECONOMICODETTAGLIO Terminated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "25417c9a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "sr = terminated_work.groupby('SETTOREECONOMICODETTAGLIO').size().sort_values(ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b1f8aa42",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.barplot(x=sr.values, y=sr.index) \n",
    "ax.set_title(\"SETTORECONOMICODETTAGLIO\", fontsize = 20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "988d7943",
   "metadata": {},
   "source": [
    "### Countplot on TITOLOSTUDIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c09af5f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "78ee567d",
   "metadata": {},
   "outputs": [],
   "source": [
    "tempDF = result_df.copy()\n",
    "le_class = preprocessing.LabelEncoder()\n",
    "\n",
    "le_class.fit(tempDF['TITOLOSTUDIO'])\n",
    "\n",
    "tempDF['TITOLOSTUDIO'] = le_class.transform(tempDF['TITOLOSTUDIO'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "ec7b7d74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0  : DIPLOMA DI ISTRUZIONE SECONDARIA SUPERIORE  CHE PERMETTE L'ACCESSO ALL'UNIVERSITA\n",
      "1  : DIPLOMA DI SPECIALIZZAZIONE\n",
      "2  : DIPLOMA TERZIARIO EXTRA-UNIVERSITARIO\n",
      "3  : DIPLOMA UNIVERSITARIO\n",
      "4  : LAUREA - Vecchio o nuovo ordinamento\n",
      "5  : LICENZA ELEMENTARE\n",
      "6  : LICENZA MEDIA\n",
      "7  : MASTER UNIVERSITARIO DI PRIMO LIVELLO\n",
      "8  : NESSUN TITOLO DI STUDIO\n",
      "9  : TITOLO DI DOTTORE DI RICERCA\n",
      "10 : TITOLO DI ISTRUZIONE SECONDARIA SUPERIORE (SCOLASTICA ED EXTRA-SCOLASTICA) CHE NON PERMETTE L'ACCESSO ALL'UNIVERSITÀ ()\n",
      "11 : TITOLO DI STUDIO POST-LAUREA\n"
     ]
    }
   ],
   "source": [
    "ax = sb.countplot(data=tempDF, x=\"TITOLOSTUDIO\", hue='TIPOLOGIA')\n",
    "plt.show()\n",
    "\n",
    "maxV = tempDF['TITOLOSTUDIO'].max()\n",
    "for v in range(0, maxV):\n",
    "    if (v < 10):\n",
    "        print(str(v)+'  : '+le_class.inverse_transform([v])[0])\n",
    "    else:\n",
    "        print(str(v)+' : '+le_class.inverse_transform([v])[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e3c1af3",
   "metadata": {},
   "source": [
    "### Barplot on CONTRATTO Activated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8962a105",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sr = activated_work.groupby('CONTRATTO').size().sort_values(ascending=False)[:10] #Show only first 10\n",
    "ax = sb.barplot(x=sr.values, y=sr.index)\n",
    "ax.set_title(\"Activated contracts\", fontsize=\"20\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2629e60",
   "metadata": {},
   "source": [
    "### Barplot on CONTRATTO Terminated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a3525304",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sr = terminated_work.groupby('CONTRATTO').size().sort_values(ascending=False)[:10] #Show only first 10\n",
    "ax = sb.barplot(x=sr.values, y=sr.index)\n",
    "ax.set_title(\"Terminated contracts\", fontsize=\"20\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b142d9e",
   "metadata": {},
   "source": [
    "### Countplot on MODALITALAVORO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "95b10237",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.countplot(data=result_df, x=\"MODALITALAVORO\", hue=\"TIPOLOGIA\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=25, ha=\"right\")\n",
    "ax.set_title(\"Countplot MODALITALAVORO\", fontsize=\"20\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ae8e8f5",
   "metadata": {},
   "source": [
    "### Countplot on PROVINCIAIMPRESA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "21f917c5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sb.countplot(data=result_df, x=\"PROVINCIAIMPRESA\", hue=\"TIPOLOGIA\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=25, ha=\"right\")\n",
    "ax.set_title(\"Countplot PROVINCIAIMPRESA\")\n",
    "plt.gcf().set_size_inches(15, 8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "339098b1",
   "metadata": {},
   "source": [
    "### Barplot on NAZIONALITA Activated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9ad1ce24",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sr = activated_work.groupby('NAZIONALITA').size().sort_values(ascending=False)[:10] # Show only first 10\n",
    "ax = sb.barplot(x=sr.values, y=sr.index)\n",
    "ax.set_title(\"Activated contracts\", fontsize=\"20\")\n",
    "plt.gcf().set_size_inches(15, 8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5cd32bc",
   "metadata": {},
   "source": [
    "### Barplot on NAZIONALITA Terminated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "6cefcd41",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sr = terminated_work.groupby('NAZIONALITA').size().sort_values(ascending=False)[:10]\n",
    "ax = sb.barplot(x=sr.values, y=sr.index)\n",
    "ax.set_title(\"Terminated contracts\", fontsize=\"20\")\n",
    "plt.gcf().set_size_inches(15, 8)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}