Lloguer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fd64d2bb",
   "metadata": {},
   "source": [
    "### Proyecto análisis coste del alquiler en Barcelona"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94c6fe1e",
   "metadata": {},
   "source": [
    "- El presente análisis tiene como objetivo principal proporcionar a los habitantes de Barcelona una visión clara y detallada de la evolución del precio del alquiler en la ciudad durante los últimos años, específicamente entre 2020 y 2023. En este período, se han observado importantes cambios en el mercado inmobiliario, con fluctuaciones significativas que afectan directamente a la economía de los residentes.\n",
    "\n",
    "- El estudio se enfoca en identificar las tendencias de precios en diferentes distritos, considerando factores como la media del alquiler por metro cuadrado y las disparidades salariales entre las distintas zonas. Con este análisis, se pretende brindar información útil para que los ciudadanos puedan tomar decisiones más informadas sobre dónde vivir o cómo planificar sus finanzas personales en relación con el costo de la vivienda.\n",
    "\n",
    "- Además, el informe busca resaltar las áreas más accesibles y equilibradas, así como aquellas que presentan mayores desafíos para los inquilinos. Este conocimiento puede ser de utilidad no solo para los residentes, sino también para responsables de políticas públicas, inversores y otros interesados en el mercado inmobiliario de Barcelona."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "947e91c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3c6e7f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2020= pd.read_csv('Alquiler/2020_preu.csv')\n",
    "df_2021= pd.read_csv('Alquiler/2021_preu.csv')\n",
    "df_2022= pd.read_csv('Alquiler/2022_preu.csv')\n",
    "df_2023= pd.read_csv('Alquiler/2023_preu.csv')\n",
    "\n",
    "\n",
    "\n",
    "# Concatenar las tablas\n",
    "\n",
    "df1= pd.concat([df_2020, df_2021,df_2022, df_2023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2be7c511",
   "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>Any</th>\n",
       "      <th>Trimestre</th>\n",
       "      <th>Codi_Districte</th>\n",
       "      <th>Nom_Districte</th>\n",
       "      <th>Codi_Barri</th>\n",
       "      <th>Nom_Barri</th>\n",
       "      <th>Lloguer_mitja</th>\n",
       "      <th>Preu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>1</td>\n",
       "      <td>el Raval</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>864.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>2</td>\n",
       "      <td>el Barri Gòtic</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1110.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>3</td>\n",
       "      <td>la Barceloneta</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>899.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>4</td>\n",
       "      <td>Sant Pere, Santa Caterina i la Ribera</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1030.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>5</td>\n",
       "      <td>el Fort Pienc</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1059.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Any  Trimestre  Codi_Districte Nom_Districte  Codi_Barri  \\\n",
       "0  2020          1               1  Ciutat Vella           1   \n",
       "1  2020          1               1  Ciutat Vella           2   \n",
       "2  2020          1               1  Ciutat Vella           3   \n",
       "3  2020          1               1  Ciutat Vella           4   \n",
       "4  2020          1               2      Eixample           5   \n",
       "\n",
       "                               Nom_Barri                      Lloguer_mitja  \\\n",
       "0                               el Raval  Lloguer mitjà mensual (Euros/mes)   \n",
       "1                         el Barri Gòtic  Lloguer mitjà mensual (Euros/mes)   \n",
       "2                         la Barceloneta  Lloguer mitjà mensual (Euros/mes)   \n",
       "3  Sant Pere, Santa Caterina i la Ribera  Lloguer mitjà mensual (Euros/mes)   \n",
       "4                          el Fort Pienc  Lloguer mitjà mensual (Euros/mes)   \n",
       "\n",
       "     Preu  \n",
       "0   864.5  \n",
       "1  1110.2  \n",
       "2   899.5  \n",
       "3  1030.0  \n",
       "4  1059.9  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c1dd03e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filtrar por alquiler mensual\n",
    "\n",
    "df_mes = df1[(df1['Lloguer_mitja']=='Lloguer mitjà mensual (Euros/mes)')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7f8c2d25",
   "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>Any</th>\n",
       "      <th>Trimestre</th>\n",
       "      <th>Codi_Districte</th>\n",
       "      <th>Nom_Districte</th>\n",
       "      <th>Codi_Barri</th>\n",
       "      <th>Nom_Barri</th>\n",
       "      <th>Lloguer_mitja</th>\n",
       "      <th>Preu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>1</td>\n",
       "      <td>el Raval</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>864.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>2</td>\n",
       "      <td>el Barri Gòtic</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1110.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>3</td>\n",
       "      <td>la Barceloneta</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>899.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>4</td>\n",
       "      <td>Sant Pere, Santa Caterina i la Ribera</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1030.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>5</td>\n",
       "      <td>el Fort Pienc</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1059.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Any  Trimestre  Codi_Districte Nom_Districte  Codi_Barri  \\\n",
       "0  2020          1               1  Ciutat Vella           1   \n",
       "1  2020          1               1  Ciutat Vella           2   \n",
       "2  2020          1               1  Ciutat Vella           3   \n",
       "3  2020          1               1  Ciutat Vella           4   \n",
       "4  2020          1               2      Eixample           5   \n",
       "\n",
       "                               Nom_Barri                      Lloguer_mitja  \\\n",
       "0                               el Raval  Lloguer mitjà mensual (Euros/mes)   \n",
       "1                         el Barri Gòtic  Lloguer mitjà mensual (Euros/mes)   \n",
       "2                         la Barceloneta  Lloguer mitjà mensual (Euros/mes)   \n",
       "3  Sant Pere, Santa Caterina i la Ribera  Lloguer mitjà mensual (Euros/mes)   \n",
       "4                          el Fort Pienc  Lloguer mitjà mensual (Euros/mes)   \n",
       "\n",
       "     Preu  \n",
       "0   864.5  \n",
       "1  1110.2  \n",
       "2   899.5  \n",
       "3  1030.0  \n",
       "4  1059.9  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f4b16551",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Any                0\n",
       "Trimestre          0\n",
       "Codi_Districte     0\n",
       "Nom_Districte      0\n",
       "Codi_Barri         0\n",
       "Nom_Barri          0\n",
       "Lloguer_mitja      0\n",
       "Preu              48\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_mes.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0fce8160",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 949 entries, 0 to 218\n",
      "Data columns (total 8 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   Any             949 non-null    int64 \n",
      " 1   Trimestre       949 non-null    int64 \n",
      " 2   Codi_Districte  949 non-null    int64 \n",
      " 3   Nom_Districte   949 non-null    object\n",
      " 4   Codi_Barri      949 non-null    int64 \n",
      " 5   Nom_Barri       949 non-null    object\n",
      " 6   Lloguer_mitja   949 non-null    object\n",
      " 7   Preu            901 non-null    object\n",
      "dtypes: int64(4), object(4)\n",
      "memory usage: 66.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df_mes.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f8c49c98",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\AppData\\Local\\Temp\\ipykernel_14804\\555317758.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_mes['Preu'] = pd.to_numeric(df_mes['Preu'], errors='coerce')\n"
     ]
    }
   ],
   "source": [
    "df_mes['Preu'] = pd.to_numeric(df_mes['Preu'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24c24e08",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\AppData\\Local\\Temp\\ipykernel_14804\\110730073.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_mes['Preu'] = np.where(df_mes['Preu'].isnull(), mean_value, df_mes['Preu'])\n"
     ]
    }
   ],
   "source": [
    "# Calcular la media ignorando los valores nulos\n",
    "mean_value = np.nanmean(df_mes['Preu'])\n",
    "\n",
    "# Reemplazar los valores nulos con la media\n",
    "df_mes['Preu'] = np.where(df_mes['Preu'].isnull(), mean_value, df_mes['Preu'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "07634f50",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 949 entries, 0 to 218\n",
      "Data columns (total 8 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Any             949 non-null    int64  \n",
      " 1   Trimestre       949 non-null    int64  \n",
      " 2   Codi_Districte  949 non-null    int64  \n",
      " 3   Nom_Districte   949 non-null    object \n",
      " 4   Codi_Barri      949 non-null    int64  \n",
      " 5   Nom_Barri       949 non-null    object \n",
      " 6   Lloguer_mitja   949 non-null    object \n",
      " 7   Preu            949 non-null    float64\n",
      "dtypes: float64(1), int64(4), object(3)\n",
      "memory usage: 66.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df_mes.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "67e12014",
   "metadata": {},
   "outputs": [],
   "source": [
    "media_pago_district = df_mes.groupby(['Any','Nom_Districte'])['Preu'].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "ee43f01b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(17,6))\n",
    "sns.barplot(data=media_pago_district, x='Nom_Districte', y='Preu', hue='Any')\n",
    "plt.xlabel('Distrito')\n",
    "plt.ylabel('Precio')\n",
    "plt.title('Media de pago por distrititos 2020-2023', fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "795006f8",
   "metadata": {},
   "source": [
    "El distrito con la media más alta de pago por alquiler es Sarrià -Sant Gervasi. Desde el año 2020 hasta el año 2023 siempre fue el distrito con el importe de alquieler más alto. Ya para el 2023, tenía una media de más de 1400 € de alquieler. El otro distrito con un coste de alquier más alto es Les Corts, para el 2023 la media estaba en 1350 €. El distrito de menor coste en el alquiler, es Nou Barris, con una media de 800 € en el 2023. Otro distriro con un alquiler de media más bajo sería Sant Andreu, con un pago medio de 820 € de alquiler al mes. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "87972e77",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2020= pd.read_csv('2020_cont.csv')\n",
    "df_2021= pd.read_csv('2021_cont.csv')\n",
    "df_2022= pd.read_csv('2022_cont.csv')\n",
    "df_2023= pd.read_csv('2023_cont.csv')\n",
    "\n",
    "\n",
    "\n",
    "# Concatenar las tablas\n",
    "\n",
    "df2= pd.concat([df_2020, df_2021,df_2022, df_2023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c9c8aed8",
   "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>Any</th>\n",
       "      <th>Trimestre</th>\n",
       "      <th>Codi_Districte</th>\n",
       "      <th>Nom_Districte</th>\n",
       "      <th>Codi_Barri</th>\n",
       "      <th>Nom_Barri</th>\n",
       "      <th>Contractes</th>\n",
       "      <th>Nombre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>1</td>\n",
       "      <td>el Raval</td>\n",
       "      <td>Contractes de lloguer</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>2</td>\n",
       "      <td>el Barri Gòtic</td>\n",
       "      <td>Contractes de lloguer</td>\n",
       "      <td>229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>3</td>\n",
       "      <td>la Barceloneta</td>\n",
       "      <td>Contractes de lloguer</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>4</td>\n",
       "      <td>Sant Pere, Santa Caterina i la Ribera</td>\n",
       "      <td>Contractes de lloguer</td>\n",
       "      <td>276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>5</td>\n",
       "      <td>el Fort Pienc</td>\n",
       "      <td>Contractes de lloguer</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Any  Trimestre  Codi_Districte Nom_Districte  Codi_Barri  \\\n",
       "0  2020          1               1  Ciutat Vella           1   \n",
       "1  2020          1               1  Ciutat Vella           2   \n",
       "2  2020          1               1  Ciutat Vella           3   \n",
       "3  2020          1               1  Ciutat Vella           4   \n",
       "4  2020          1               2      Eixample           5   \n",
       "\n",
       "                               Nom_Barri             Contractes  Nombre  \n",
       "0                               el Raval  Contractes de lloguer     485  \n",
       "1                         el Barri Gòtic  Contractes de lloguer     229  \n",
       "2                         la Barceloneta  Contractes de lloguer      83  \n",
       "3  Sant Pere, Santa Caterina i la Ribera  Contractes de lloguer     276  \n",
       "4                          el Fort Pienc  Contractes de lloguer     245  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ecd44fa9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 962 entries, 0 to 147\n",
      "Data columns (total 8 columns):\n",
      " #   Column          Non-Null Count  Dtype \n",
      "---  ------          --------------  ----- \n",
      " 0   Any             962 non-null    int64 \n",
      " 1   Trimestre       962 non-null    int64 \n",
      " 2   Codi_Districte  962 non-null    int64 \n",
      " 3   Nom_Districte   962 non-null    object\n",
      " 4   Codi_Barri      962 non-null    int64 \n",
      " 5   Nom_Barri       962 non-null    object\n",
      " 6   Contractes      962 non-null    object\n",
      " 7   Nombre          962 non-null    int64 \n",
      "dtypes: int64(5), object(3)\n",
      "memory usage: 67.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f6e08793",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2[(df2['Nom_Districte']!='No consta')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "60f82635",
   "metadata": {},
   "outputs": [],
   "source": [
    "media_contractos = df2.groupby(['Any','Nom_Districte'])['Nombre'].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "1e07da68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(17,6))\n",
    "sns.barplot(data=media_contractos, x='Nom_Districte', y='Nombre', hue='Any')\n",
    "plt.xlabel('Distritos')\n",
    "plt.ylabel('Media de contratos')\n",
    "plt.title('Media de contratos por distrititos desde 2020-2023', fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79baaa10",
   "metadata": {},
   "source": [
    "Se observa que a medida que han trasncurrido los años, el número de contratos firmados se ha ido reduciendo. De hecho, el año con mayor número de contratos, fue el 2021; justamente posterior a la pandemia. Es curioso, que también en el 2021 el precio medio del alquiler fue el más bajo de todos en comparación con los años 2020, 2022 y 2023.\n",
    "- ¿Puede ser este un indicativo de que el coste de la vivienda es una de las principales causas negativas en el número de contratos?\n",
    "\n",
    "El distrito donde mayor números de contratos se han formado, es el de Eixample en el 2023 han contado con una media de 320 contratos realizados. En cambio, aún y teniendo el precio medio de alquileres más bajos; el distrito con menor firma de contratos en el 2023, fue Nou Barris, con menos de 60 contratos firmados en el 2023. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c11f64fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2020= pd.read_csv('2020_sup.csv')\n",
    "df_2021= pd.read_csv('2021_sup.csv')\n",
    "df_2022= pd.read_csv('2022_sup.csv')\n",
    "df_2023= pd.read_csv('2023_sup.csv')\n",
    "\n",
    "\n",
    "\n",
    "# Concatenar las tablas\n",
    "\n",
    "df3= pd.concat([df_2020, df_2021,df_2022, df_2023])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a5921a67",
   "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>Any</th>\n",
       "      <th>Trimestre</th>\n",
       "      <th>Codi_Districte</th>\n",
       "      <th>Nom_Districte</th>\n",
       "      <th>Codi_Barri</th>\n",
       "      <th>Nom_Barri</th>\n",
       "      <th>Superfície_mitjana</th>\n",
       "      <th>Nombre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>1</td>\n",
       "      <td>el Raval</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>62.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>2</td>\n",
       "      <td>el Barri Gòtic</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>87.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>3</td>\n",
       "      <td>la Barceloneta</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>53.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>4</td>\n",
       "      <td>Sant Pere, Santa Caterina i la Ribera</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>76.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>5</td>\n",
       "      <td>el Fort Pienc</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Any  Trimestre  Codi_Districte Nom_Districte  Codi_Barri  \\\n",
       "0  2020          1               1  Ciutat Vella           1   \n",
       "1  2020          1               1  Ciutat Vella           2   \n",
       "2  2020          1               1  Ciutat Vella           3   \n",
       "3  2020          1               1  Ciutat Vella           4   \n",
       "4  2020          1               2      Eixample           5   \n",
       "\n",
       "                               Nom_Barri Superfície_mitjana Nombre  \n",
       "0                               el Raval      m2_construïts   62.8  \n",
       "1                         el Barri Gòtic      m2_construïts   87.4  \n",
       "2                         la Barceloneta      m2_construïts   53.9  \n",
       "3  Sant Pere, Santa Caterina i la Ribera      m2_construïts   76.2  \n",
       "4                          el Fort Pienc      m2_construïts   76.4  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "91e6896c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 949 entries, 0 to 145\n",
      "Data columns (total 8 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   Any                 949 non-null    int64 \n",
      " 1   Trimestre           949 non-null    int64 \n",
      " 2   Codi_Districte      949 non-null    int64 \n",
      " 3   Nom_Districte       949 non-null    object\n",
      " 4   Codi_Barri          949 non-null    int64 \n",
      " 5   Nom_Barri           949 non-null    object\n",
      " 6   Superfície_mitjana  949 non-null    object\n",
      " 7   Nombre              934 non-null    object\n",
      "dtypes: int64(4), object(4)\n",
      "memory usage: 66.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df3.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9d4de53a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df3['Nombre'] = pd.to_numeric(df3['Nombre'], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "65e9a81d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 949 entries, 0 to 145\n",
      "Data columns (total 8 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Any                 949 non-null    int64  \n",
      " 1   Trimestre           949 non-null    int64  \n",
      " 2   Codi_Districte      949 non-null    int64  \n",
      " 3   Nom_Districte       949 non-null    object \n",
      " 4   Codi_Barri          949 non-null    int64  \n",
      " 5   Nom_Barri           949 non-null    object \n",
      " 6   Superfície_mitjana  949 non-null    object \n",
      " 7   Nombre              929 non-null    float64\n",
      "dtypes: float64(1), int64(4), object(3)\n",
      "memory usage: 66.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df3.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "de1a585c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calcular la media ignorando los valores nulos\n",
    "mean_value = np.nanmean(df3['Nombre'])\n",
    "\n",
    "# Reemplazar los valores nulos con la media\n",
    "df3['Nombre'] = np.where(df3['Nombre'].isnull(), mean_value, df3['Nombre'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "992cc0cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "media_m2 = df3.groupby(['Any','Nom_Districte'])['Nombre'].mean().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "73f7ff70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1700x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(17,6))\n",
    "sns.barplot(data=media_m2, x='Nom_Districte', y='Nombre', hue='Any')\n",
    "plt.ylabel('M2')\n",
    "plt.title('Media de superficie por distrititos desde 2020-2023', fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f529276f",
   "metadata": {},
   "source": [
    "Los distritos con pisos de m2 más grandes, son Les Corts y Sarrià. Esto tiene una lógica, puesto que estos distritos son los que también mayor coste de media de alquiler han presentado. En el caso de Nou Barris la media de m2 es un poco más baja en comparación con la media del resto de distritos.\n",
    "- ¿Puede ser esta la causa de que en Sant Andreu el número de contratos sea menor?\n",
    "- ¿Prefieres las personas pagar más por una vivienda más amplia o se trata por la distancia que tiene este distrito?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8dad381f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_salary = pd.read_csv('Taula_salari.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4ab90e6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_salary = df_salary.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8353fefd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sal = df_salary[['Territori','2016','2017','2018','2019','2020','2021','2022']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "10ae285a",
   "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>Territori</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "      <th>2019</th>\n",
       "      <th>2020</th>\n",
       "      <th>2021</th>\n",
       "      <th>2022</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Espanya</td>\n",
       "      <td>23676.97713</td>\n",
       "      <td>24416.34199</td>\n",
       "      <td>24908.63827</td>\n",
       "      <td>24695.10287</td>\n",
       "      <td>24411.07676</td>\n",
       "      <td>25552.32916</td>\n",
       "      <td>26765.05248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Catalunya</td>\n",
       "      <td>25490.66149</td>\n",
       "      <td>26525.69126</td>\n",
       "      <td>27148.14189</td>\n",
       "      <td>27024.23438</td>\n",
       "      <td>26716.11521</td>\n",
       "      <td>28076.28000</td>\n",
       "      <td>29312.90997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Barcelona</td>\n",
       "      <td>29176.04703</td>\n",
       "      <td>30262.70554</td>\n",
       "      <td>30807.39351</td>\n",
       "      <td>31076.48696</td>\n",
       "      <td>30593.33729</td>\n",
       "      <td>32324.05662</td>\n",
       "      <td>33837.31775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>20969.02348</td>\n",
       "      <td>22244.34036</td>\n",
       "      <td>22404.54444</td>\n",
       "      <td>22528.77680</td>\n",
       "      <td>20542.76570</td>\n",
       "      <td>23284.72193</td>\n",
       "      <td>24920.91798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Eixample</td>\n",
       "      <td>31930.49291</td>\n",
       "      <td>33959.18402</td>\n",
       "      <td>34575.70162</td>\n",
       "      <td>34770.24203</td>\n",
       "      <td>34655.47145</td>\n",
       "      <td>35814.92415</td>\n",
       "      <td>38261.03669</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Territori         2016         2017         2018         2019  \\\n",
       "0       Espanya  23676.97713  24416.34199  24908.63827  24695.10287   \n",
       "1     Catalunya  25490.66149  26525.69126  27148.14189  27024.23438   \n",
       "2     Barcelona  29176.04703  30262.70554  30807.39351  31076.48696   \n",
       "3  Ciutat Vella  20969.02348  22244.34036  22404.54444  22528.77680   \n",
       "4      Eixample  31930.49291  33959.18402  34575.70162  34770.24203   \n",
       "\n",
       "          2020         2021         2022  \n",
       "0  24411.07676  25552.32916  26765.05248  \n",
       "1  26716.11521  28076.28000  29312.90997  \n",
       "2  30593.33729  32324.05662  33837.31775  \n",
       "3  20542.76570  23284.72193  24920.91798  \n",
       "4  34655.47145  35814.92415  38261.03669  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sal.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c0178866",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Territori', '2016', '2017', '2018', '2019', '2020', '2021', '2022'], dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sal.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "69ee1e94",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sal = df_sal[(df_sal['Territori']!='Espanya')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "9134e177",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sal = df_sal[(df_sal['Territori']!='Catalunya')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "ba56d652",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sal = df_sal[(df_sal['Territori']!='Barcelona')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "e98005c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "sal_anual = df_sal.groupby('Territori')[['2016','2017','2018','2019','2020','2021','2022']].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01179027",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3ae424cd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "46465a0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabla_sal = df_sal.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e1cb0139",
   "metadata": {},
   "outputs": [],
   "source": [
    "tabla_sal.columns = tabla_sal.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "61cd5e91",
   "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>Territori</th>\n",
       "      <th>Espanya</th>\n",
       "      <th>Catalunya</th>\n",
       "      <th>Barcelona</th>\n",
       "      <th>Ciutat Vella</th>\n",
       "      <th>Eixample</th>\n",
       "      <th>Sants - Montjuïc</th>\n",
       "      <th>Les Corts</th>\n",
       "      <th>Sarrià - Sant Gervasi</th>\n",
       "      <th>Gràcia</th>\n",
       "      <th>Horta - Guinardó</th>\n",
       "      <th>Nou Barris</th>\n",
       "      <th>Sant Andreu</th>\n",
       "      <th>Sant Martí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Territori</th>\n",
       "      <td>Espanya</td>\n",
       "      <td>Catalunya</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>Sants - Montjuïc</td>\n",
       "      <td>Les Corts</td>\n",
       "      <td>Sarrià - Sant Gervasi</td>\n",
       "      <td>Gràcia</td>\n",
       "      <td>Horta - Guinardó</td>\n",
       "      <td>Nou Barris</td>\n",
       "      <td>Sant Andreu</td>\n",
       "      <td>Sant Martí</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>23676.97713</td>\n",
       "      <td>25490.66149</td>\n",
       "      <td>29176.04703</td>\n",
       "      <td>20969.02348</td>\n",
       "      <td>31930.49291</td>\n",
       "      <td>25966.55797</td>\n",
       "      <td>36834.39679</td>\n",
       "      <td>46093.24815</td>\n",
       "      <td>30087.81371</td>\n",
       "      <td>27594.1367</td>\n",
       "      <td>21034.37822</td>\n",
       "      <td>25962.43546</td>\n",
       "      <td>28996.90319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>24416.34199</td>\n",
       "      <td>26525.69126</td>\n",
       "      <td>30262.70554</td>\n",
       "      <td>22244.34036</td>\n",
       "      <td>33959.18402</td>\n",
       "      <td>26982.67492</td>\n",
       "      <td>37898.50791</td>\n",
       "      <td>46021.84782</td>\n",
       "      <td>31214.14367</td>\n",
       "      <td>28342.38718</td>\n",
       "      <td>22247.34706</td>\n",
       "      <td>27037.9611</td>\n",
       "      <td>29998.38229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>24908.63827</td>\n",
       "      <td>27148.14189</td>\n",
       "      <td>30807.39351</td>\n",
       "      <td>22404.54444</td>\n",
       "      <td>34575.70162</td>\n",
       "      <td>27357.47686</td>\n",
       "      <td>38575.23259</td>\n",
       "      <td>47395.96658</td>\n",
       "      <td>32302.24381</td>\n",
       "      <td>28833.80036</td>\n",
       "      <td>22444.53347</td>\n",
       "      <td>27715.64374</td>\n",
       "      <td>30556.16752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>24695.10287</td>\n",
       "      <td>27024.23438</td>\n",
       "      <td>31076.48696</td>\n",
       "      <td>22528.7768</td>\n",
       "      <td>34770.24203</td>\n",
       "      <td>27350.32654</td>\n",
       "      <td>41548.2448</td>\n",
       "      <td>49195.74946</td>\n",
       "      <td>33576.50663</td>\n",
       "      <td>29222.56519</td>\n",
       "      <td>22844.49661</td>\n",
       "      <td>27877.48225</td>\n",
       "      <td>30647.73736</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Territori      Espanya    Catalunya    Barcelona  Ciutat Vella     Eixample  \\\n",
       "Territori      Espanya    Catalunya    Barcelona  Ciutat Vella     Eixample   \n",
       "2016       23676.97713  25490.66149  29176.04703   20969.02348  31930.49291   \n",
       "2017       24416.34199  26525.69126  30262.70554   22244.34036  33959.18402   \n",
       "2018       24908.63827  27148.14189  30807.39351   22404.54444  34575.70162   \n",
       "2019       24695.10287  27024.23438  31076.48696    22528.7768  34770.24203   \n",
       "\n",
       "Territori  Sants - Montjuïc    Les Corts  Sarrià - Sant Gervasi       Gràcia  \\\n",
       "Territori  Sants - Montjuïc    Les Corts  Sarrià - Sant Gervasi       Gràcia   \n",
       "2016            25966.55797  36834.39679            46093.24815  30087.81371   \n",
       "2017            26982.67492  37898.50791            46021.84782  31214.14367   \n",
       "2018            27357.47686  38575.23259            47395.96658  32302.24381   \n",
       "2019            27350.32654   41548.2448            49195.74946  33576.50663   \n",
       "\n",
       "Territori  Horta - Guinardó   Nou Barris  Sant Andreu   Sant Martí  \n",
       "Territori  Horta - Guinardó   Nou Barris  Sant Andreu   Sant Martí  \n",
       "2016             27594.1367  21034.37822  25962.43546  28996.90319  \n",
       "2017            28342.38718  22247.34706   27037.9611  29998.38229  \n",
       "2018            28833.80036  22444.53347  27715.64374  30556.16752  \n",
       "2019            29222.56519  22844.49661  27877.48225  30647.73736  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabla_sal.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "49932554",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Espanya', 'Catalunya', 'Barcelona', 'Ciutat Vella', 'Eixample',\n",
       "       'Sants - Montjuïc', 'Les Corts', 'Sarrià - Sant Gervasi', 'Gràcia',\n",
       "       'Horta - Guinardó', 'Nou Barris', 'Sant Andreu', 'Sant Martí'],\n",
       "      dtype='object', name='Territori')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tabla_sal.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "529b8f86",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_salario = tabla_sal[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "841d2356",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_salario = df_salario.copy() \n",
    "df_salario.rename(index={'Territori': 'Año'}, inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "ba046577",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = df_salario.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6bd9e340",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4.rename(columns={'index': 'Año'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "fb47c6ff",
   "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>Territori</th>\n",
       "      <th>Año</th>\n",
       "      <th>Espanya</th>\n",
       "      <th>Catalunya</th>\n",
       "      <th>Barcelona</th>\n",
       "      <th>Ciutat Vella</th>\n",
       "      <th>Eixample</th>\n",
       "      <th>Sants - Montjuïc</th>\n",
       "      <th>Les Corts</th>\n",
       "      <th>Sarrià - Sant Gervasi</th>\n",
       "      <th>Gràcia</th>\n",
       "      <th>Horta - Guinardó</th>\n",
       "      <th>Nou Barris</th>\n",
       "      <th>Sant Andreu</th>\n",
       "      <th>Sant Martí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>23676.97713</td>\n",
       "      <td>25490.66149</td>\n",
       "      <td>29176.04703</td>\n",
       "      <td>20969.02348</td>\n",
       "      <td>31930.49291</td>\n",
       "      <td>25966.55797</td>\n",
       "      <td>36834.39679</td>\n",
       "      <td>46093.24815</td>\n",
       "      <td>30087.81371</td>\n",
       "      <td>27594.1367</td>\n",
       "      <td>21034.37822</td>\n",
       "      <td>25962.43546</td>\n",
       "      <td>28996.90319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>24416.34199</td>\n",
       "      <td>26525.69126</td>\n",
       "      <td>30262.70554</td>\n",
       "      <td>22244.34036</td>\n",
       "      <td>33959.18402</td>\n",
       "      <td>26982.67492</td>\n",
       "      <td>37898.50791</td>\n",
       "      <td>46021.84782</td>\n",
       "      <td>31214.14367</td>\n",
       "      <td>28342.38718</td>\n",
       "      <td>22247.34706</td>\n",
       "      <td>27037.9611</td>\n",
       "      <td>29998.38229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>24908.63827</td>\n",
       "      <td>27148.14189</td>\n",
       "      <td>30807.39351</td>\n",
       "      <td>22404.54444</td>\n",
       "      <td>34575.70162</td>\n",
       "      <td>27357.47686</td>\n",
       "      <td>38575.23259</td>\n",
       "      <td>47395.96658</td>\n",
       "      <td>32302.24381</td>\n",
       "      <td>28833.80036</td>\n",
       "      <td>22444.53347</td>\n",
       "      <td>27715.64374</td>\n",
       "      <td>30556.16752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>24695.10287</td>\n",
       "      <td>27024.23438</td>\n",
       "      <td>31076.48696</td>\n",
       "      <td>22528.7768</td>\n",
       "      <td>34770.24203</td>\n",
       "      <td>27350.32654</td>\n",
       "      <td>41548.2448</td>\n",
       "      <td>49195.74946</td>\n",
       "      <td>33576.50663</td>\n",
       "      <td>29222.56519</td>\n",
       "      <td>22844.49661</td>\n",
       "      <td>27877.48225</td>\n",
       "      <td>30647.73736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>24411.07676</td>\n",
       "      <td>26716.11521</td>\n",
       "      <td>30593.33729</td>\n",
       "      <td>20542.7657</td>\n",
       "      <td>34655.47145</td>\n",
       "      <td>26304.73707</td>\n",
       "      <td>38985.30789</td>\n",
       "      <td>49185.12548</td>\n",
       "      <td>32618.96623</td>\n",
       "      <td>28310.7816</td>\n",
       "      <td>22600.3541</td>\n",
       "      <td>27357.96773</td>\n",
       "      <td>30694.91091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021</td>\n",
       "      <td>25552.32916</td>\n",
       "      <td>28076.28</td>\n",
       "      <td>32324.05662</td>\n",
       "      <td>23284.72193</td>\n",
       "      <td>35814.92415</td>\n",
       "      <td>28490.26248</td>\n",
       "      <td>39980.88938</td>\n",
       "      <td>51614.65645</td>\n",
       "      <td>35061.94947</td>\n",
       "      <td>29643.17466</td>\n",
       "      <td>23509.74591</td>\n",
       "      <td>29203.44409</td>\n",
       "      <td>32381.28912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022</td>\n",
       "      <td>26765.05248</td>\n",
       "      <td>29312.90997</td>\n",
       "      <td>33837.31775</td>\n",
       "      <td>24920.91798</td>\n",
       "      <td>38261.03669</td>\n",
       "      <td>29894.31335</td>\n",
       "      <td>42831.82727</td>\n",
       "      <td>54998.56095</td>\n",
       "      <td>35923.29474</td>\n",
       "      <td>30695.70447</td>\n",
       "      <td>24784.87086</td>\n",
       "      <td>30326.18749</td>\n",
       "      <td>33611.37185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Territori   Año      Espanya    Catalunya    Barcelona Ciutat Vella  \\\n",
       "0          2016  23676.97713  25490.66149  29176.04703  20969.02348   \n",
       "1          2017  24416.34199  26525.69126  30262.70554  22244.34036   \n",
       "2          2018  24908.63827  27148.14189  30807.39351  22404.54444   \n",
       "3          2019  24695.10287  27024.23438  31076.48696   22528.7768   \n",
       "4          2020  24411.07676  26716.11521  30593.33729   20542.7657   \n",
       "5          2021  25552.32916     28076.28  32324.05662  23284.72193   \n",
       "6          2022  26765.05248  29312.90997  33837.31775  24920.91798   \n",
       "\n",
       "Territori     Eixample Sants - Montjuïc    Les Corts Sarrià - Sant Gervasi  \\\n",
       "0          31930.49291      25966.55797  36834.39679           46093.24815   \n",
       "1          33959.18402      26982.67492  37898.50791           46021.84782   \n",
       "2          34575.70162      27357.47686  38575.23259           47395.96658   \n",
       "3          34770.24203      27350.32654   41548.2448           49195.74946   \n",
       "4          34655.47145      26304.73707  38985.30789           49185.12548   \n",
       "5          35814.92415      28490.26248  39980.88938           51614.65645   \n",
       "6          38261.03669      29894.31335  42831.82727           54998.56095   \n",
       "\n",
       "Territori       Gràcia Horta - Guinardó   Nou Barris  Sant Andreu   Sant Martí  \n",
       "0          30087.81371       27594.1367  21034.37822  25962.43546  28996.90319  \n",
       "1          31214.14367      28342.38718  22247.34706   27037.9611  29998.38229  \n",
       "2          32302.24381      28833.80036  22444.53347  27715.64374  30556.16752  \n",
       "3          33576.50663      29222.56519  22844.49661  27877.48225  30647.73736  \n",
       "4          32618.96623       28310.7816   22600.3541  27357.96773  30694.91091  \n",
       "5          35061.94947      29643.17466  23509.74591  29203.44409  32381.28912  \n",
       "6          35923.29474      30695.70447  24784.87086  30326.18749  33611.37185  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "0e5da8e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = df4[['Año','Ciutat Vella','Eixample','Sants - Montjuïc','Les Corts','Sarrià - Sant Gervasi','Gràcia','Horta - Guinardó','Nou Barris','Sant Andreu','Sant Martí']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "16409b6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "salario_territorio = df4.groupby(['Ciutat Vella','Eixample','Sants - Montjuïc','Les Corts','Sarrià - Sant Gervasi','Gràcia','Horta - Guinardó','Nou Barris','Sant Andreu','Sant Martí'])['Año'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f792be63",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "9f60626d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ciutat Vella  Eixample     Sants - Montjuïc  Les Corts    Sarrià - Sant Gervasi  Gràcia       Horta - Guinardó  Nou Barris   Sant Andreu  Sant Martí \n",
       "20542.76570   34655.47145  26304.73707       38985.30789  49185.12548            32618.96623  28310.78160       22600.35410  27357.96773  30694.91091    2020.0\n",
       "20969.02348   31930.49291  25966.55797       36834.39679  46093.24815            30087.81371  27594.13670       21034.37822  25962.43546  28996.90319    2016.0\n",
       "22244.34036   33959.18402  26982.67492       37898.50791  46021.84782            31214.14367  28342.38718       22247.34706  27037.96110  29998.38229    2017.0\n",
       "22404.54444   34575.70162  27357.47686       38575.23259  47395.96658            32302.24381  28833.80036       22444.53347  27715.64374  30556.16752    2018.0\n",
       "22528.77680   34770.24203  27350.32654       41548.24480  49195.74946            33576.50663  29222.56519       22844.49661  27877.48225  30647.73736    2019.0\n",
       "23284.72193   35814.92415  28490.26248       39980.88938  51614.65645            35061.94947  29643.17466       23509.74591  29203.44409  32381.28912    2021.0\n",
       "24920.91798   38261.03669  29894.31335       42831.82727  54998.56095            35923.29474  30695.70447       24784.87086  30326.18749  33611.37185    2022.0\n",
       "Name: Año, dtype: object"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "salario_territorio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "997c98f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABAUAAAJdCAYAAABK9M7UAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAADFZUlEQVR4nOzdeXQUVdrH8V8nZCdpEjAJWyBKQCC4DGIgbBEh4LCoOLigUWYQYdiMgCgySlBZFWQGGBRUQIEBR0AY0RiQRZFVEAFZFA2bEEAISSAha71/cFIvTfbOCv39nNPnpOs+VfXU7S399K1bFsMwDAEAAAAAAIfjVNkJAAAAAACAykFRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRAAAAAAAAB0VRALjJxcTEyGKxKCIiIk9bv379ZLFY1K9fvwrPqygLFiyQxWJRw4YNKzuVclcVHgeLxSKLxaKNGzdWWg6OpLDXZVVU1Z8fERERslgsiomJsXsbVf0YUbY2btxoPuYA4OgoCgDFlPtPfO5t6dKlRa7TvXt3m3WOHj1a/okCcHjXfuG59ubp6anAwEDdeeedevrppzVnzhxduHChwvOLiYlRTExMhbwnzpgxQzExMdqzZ49d61+8eNHM9+LFi2WaW3nLLZZcf3NycpKPj4/uuusujRo1SseOHavsVFGF/P777/r3v/+tPn36qFGjRvLw8JCHh4eCg4P1xBNPaP369cXazq+//qqBAwcqODhY7u7u8vf3V9euXbV8+fJC1zt69KgWLVqkF154QR07dpSPj4/d/0dt3LhRzzzzjG699VZ5enrK19dXzZo1U79+/RQbG1vk+jNmzJDFYlFUVJS57MiRI5o+fbp69uypBg0ayM3NTV5eXmrcuLH69++vXbt2FSu33bt366mnnlK9evXk5uam2rVr6+GHHy60fw3D0NatW/WPf/xDERERCggIkIuLi6xWq1q2bKkxY8bo999/L3D97Oxsff311xo1apTCw8NVs2ZNubi4yM/PT+Hh4Zo4caISExOLlT9uMgaAYhk3bpwhybxFRkYWGv/7778bzs7ONuvEx8dXTLLXyM27Y8eOedpefvllo0mTJsbLL79c4XkVZf78+YYko0GDBpWdSrl75plnDEnGM888U2k5NGnSxGjSpImxffv2SsvBkRT2uiwLGzZsMN93fH19jYCAACMgIMCoWbOmUa1aNZv3JTc3N2PYsGHGpUuXCtxeWT8/cve9YcOGMtleVFSU0aRJE2PmzJl52ho0aGBIMubPn1/oNgo6xvj4+Ep9Dy+Njh07GpIMFxcX8zkQEBBg+Pn52TwHPDw8jC+++KKy061Q175G8P+OHz9uWCwWm+eHp6en4eHhYbPsb3/7m5GVlVXgdtasWWN4enqa8T4+PoaTk5N5/69//auRk5OT77q5n4n53Yr7GkxPTzeioqJs1vXx8THc3NzM+w8++GCR24mIiDAkGf/9738NwzCMzZs358nJ29vbcHV1Ne87OTkZr776aqHbnTdvns17sdVqten3cePG5bvem2++abNvi8Vi1KhRw2ZdHx8fY9WqVfmu/+yzz9qs7+TkZNSoUcNmWUBAgLF169Yi+wY3F0YKACVUq1YteXl5ad26dTpx4kSBcR999JGys7Or9PD3SZMm6dChQ5o0aVJlp4JKdujQIR06dEj33ntvZaeCMrZixQolJCQoISFBf/zxhzIzMxUfH6+PP/5Y4eHhSk9P18yZMxUWFlbgL0RV/fnx0Ucf6dChQxo6dKjd26jqx1ga4eHh5nMgISFB58+fV1pampYuXaqaNWsqLS1NTz31lC5fvlzZqaKSZWdnyzAM3X///Vq4cKF+//13Xb58WZcuXdJPP/2kBx98UJL04YcfFni6Tnx8vB599FGlpqaqbdu2Onz4sJKSkpSUlKTXXntNkjR//ny99dZb+a7v5OSk2267TX369NHkyZNL/D+KYRjq06ePPv74Y3l7e2vatGk6c+aMkpKSlJaWptOnT2vx4sXq1KlTodu5cOGCNm/eLDc3N3Xt2lWSlJmZKWdnZz300EP673//qz/++EPJyclKTU3Vjh071K5dO+Xk5OiNN97QBx98kO92t27dqkGDBikrK0sPPfSQTpw4oYsXL+rcuXMaOHCgJGn8+PH65JNP8qybmZkpHx8fDRo0SOvXr9fly5eVmJioy5cva/ny5QoKClJycrL69OmjgwcP5ru+v7+/Ro0apS1btujKlStKTExUSkqK3n//fdWsWVNnzpxR9+7dde7cuRL1O25wlV2VAG4Uub/sNWjQwKxiv/HGGwXGN27c2JBkxMTEVNmRAlUZIwVwM6vIkQJF/Ro/ffp0M7ZLly7lks/1iptbWSjuSIGC3AwjBQp7nn388cfm8TnSaAFGCuTv4sWLxq5duwpsz8nJMbp162ZIMqpXr26kpaXliXnqqacMSUZgYKCRmJiYp/25554zf9G+cOFCnvbrRyBc+1gV5zU4Z84cQ5Lh6upq7Nixo8j4gnz00UeGJOOBBx4wl504ccL4+eefC1wnPT3duOOOOwxJxm233ZZvTLt27QxJRosWLYyMjIw87V27djX//7m+L3744Yd8+yzXb7/9Zo7q6N+/f572bdu2GampqQWuv2XLFrOvC/sfFzcfRgoAdvjrX/8q6epkeIZh5GnfvHmzfv75Z916663q0KFDsba5ceNGPfHEEwoKCpK7u7usVqvuvfdeTZ06tchfb7788kt16dJFNWrUUPXq1XXnnXdq6tSpyszMLHS9wia4S0pK0tKlS/Xkk0+qRYsW8vPzk7u7uxo0aKC+fftq27ZtxTquwmzbtk0PPfSQatWqJQ8PDzVp0kRjx47VpUuXirV+UlKSJkyYoLCwMPn6+srNzU3169fXE088Uar8EhMT9dprr+lPf/qTfHx85OrqqsDAQN1xxx0aNGiQvv766zzrHD9+XLNnz1b37t3VuHFjeXl5qXr16mrWrJmio6N1/Phxu3IpzeNw/WR2y5cvV2RkpPz9/eXk5GTzK09Rk6xduXJFM2bMUHh4uHx9fc0cnn76abvP1Zaks2fP6sMPP1Tv3r3VtGlTWa1WeXh4qFGjRnr22Wf1008/Fbju9c/fTz/9VBEREfLz85Onp6fuuusu/fOf/1ROTk6+6zds2FAWi0ULFiwo9j7KKveq5IUXXtCQIUMkSWvXrs33+V3Y86Mkr5fc/sx133332Zzrfu3Iqusngvvhhx/05JNPql69enJxcbGZpDG/iQZzn/+558v/9a9/zXNufVHHGBERoeDgYPN+cHCwzfr5TRSZkJCgF198Uc2bN1f16tXl5eWl5s2ba/To0Tpz5kyeeHv6sSzddddd5t/5vfdW1HuQJJ0/f16vv/66wsLCzP00bNhQXbt21bvvvqukpKR89/Prr79q2LBhatq0qapXry5PT081bdq0VO+9kn2P5dGjR23Ofz9z5oyef/5587z6gIAAPf744zp06FCB+929e7def/11dejQQQ0aNJC7u7tq1Kih1q1ba8qUKcX+jLSH1WrVn/70pwLbLRaL/va3v0m6+ny5/tfo3F+sJenvf/+7atSokWcbY8aMkSQlJyfrs88+y9Pu7OxsZ/ZXRzpMmDBBkvT888+rVatWdm8rN7fc0RGSVK9ePYWEhBS4jqurq5566ilJV5+X14+++u2337R582ZJ0qhRo+Ti4pJnG7n9c+zYMX3zzTc2bXfddZd8fX0L3H9wcLDuu+8+SdLOnTvztIeFhcnDw6PA9du0aaNmzZoVuD5uYpVdlQBuFNeOFMjJyTFuu+02Q5KxadOmPLF/+9vfDEnG66+/XmSFOzMzM885XtWrV7eZj6BJkybG0aNHC80r91ajRg3zPLUOHToYY8aMKfCXosJ+ob5+u9WrV7c5F89isRj//Oc/S9qNpg8++MDm/EKr1Wqek3f77bebv14WNFJg27ZtRkBAgLm+s7Oz4e3tbZPfxIkTS5zXiRMnjKCgIJvz7Xx9fW0ej/z6MvcXuWuP5/rj+/bbb/PdZ3k9Dtf+Gj1ixAgzPvd4rj1nMXd7+f1ye/LkSSM0NNSMcXFxMaxWq00f/etf/ypO9xZ47Lk3Hx8fm/Ms3dzcjE8//bTQdZ955hljyJAhBZ4f+fTTT+e7fnF+QS7ssSlN7lVppIBhGMapU6cMFxcXQ5IRFRWVp72gbZX09TJ8+HCb1+218x0EBAQY99xzT77H8Omnn5r5+fj4GO7u7jbbzX39Xfucfuutt4yAgADzdejj42Ozr4CAgCKP8eGHHzZq1aplttWqVctm/YcffthmGxs3brR5/nl6ehpeXl42x5vf+4C97ztFKc5IgUWLFpn7+PHHH/O0V9R70FdffWX4+vqa261WrVqe1/LKlSvz7GPu3LnmcyP3dXft+e8+Pj5GXFxcnvWKGilg72N57ciSzz//3PD39zfXv7bffHx8jD179uS772uPOb/3tGbNmhlnzpzJd92KsHr1ajOXnTt32rTFxsaabYX9St+0aVNDkvH4448Xub+SjBSIi4szYw8dOlSs48lPWlqa4eXlZVgsFuPUqVMlWvdf//qXmcO5c+ds2t59912zraDHMCsry/x/xp45n3r37m1IMpo3b17idQ3DMP70pz8Zkozu3bvbtT5uTBQFgGK6tihgGIbxxhtv5Ptl4dKlS0b16tUNJycn4/jx40V+mD3//POGdHVil3//+9/G+fPnDcMwjIyMDGPDhg3G3XffbUgy/vSnPxnZ2dk2665atcrcdp8+fYzjx48bhmEYqampxuzZsw1XV1fzn4mSFgXmzJljvPDCC8a2bdvM4X85OTnGb7/9Zjz//POGxWIxnJ2djd27d5eoHw3DMHbt2mV+eYqIiDAOHjxoHvN//vMfo0aNGmbe+RUF4uPjzfa//OUvxq5du4zMzEzDMAzjzJkzxquvvmpuP79/IgvTv39/Q5LRsGFDY926debQvaysLOPo0aPGnDlzjJdeeinPekOGDDEmT55sHDhwwByal5mZaWzfvt0calmnTp18h+2V1+OQ+5ytXr26IckYPXq0cfbsWcMwDOPKlSs2haaCvvRlZWUZYWFhhnS1sLFo0SIjPT3dMAzD+PXXX40ePXqY69oz9DgmJsb4xz/+Yfzwww/mRHfZ2dnG/v37jSeffNKQZHh5eRm///57gf3m6+truLq6GtOnTzeSkpIMwzCMP/74w6bY9vXXX+dZv7RFgdLkXtWKAoZhGPfee68hyQgKCsrTVtC27H29FCe3a4+hevXqxp///GfzvcIwDJshvPkVBXIV9/SBgnIq7ukDx48fN9+XmjVrZmzevNls++abb4wmTZoYkgw/Pz/j5MmTNuva249FKawocOXKFePTTz81brnlFkMqePLcingP2r17t+Hu7m5+kfniiy/MYdWXL182du7caYwcOdJYt26dzfZXrlxpSFcLlS+//LJx9OhRIycnx8jJyTEOHTpk9OnTx/wCfuzYMZt1CysKlOaxvPb54uvra7Rt29b84pyZmWmsXbvWqF27tiHJaN++fb593rlzZ+PDDz80jh07Zn62paamGitWrDD3fX1BqiLlFnhcXV3N99xcb7/9tnn8ly9fLnAbuY9NixYtitxfSYoCr732mvk/VU5OjvH+++8bYWFhRvXq1Q0vLy+jRYsWxiuvvJLny/r1Pv/8c0OSERYWVmR+18v9Ul67du08kykOHTrUkGT4+/sXuo1WrVoZkoyePXuWaN8ZGRlm4bU4BZfrnTt3zvyBpipOQo3yQ1EAKKbriwLHjx83nJycDC8vLyMlJcWM+/DDDw3p/8/NLezDbN++fYbFYjE8PT2NvXv35rvf5ORko169evl+wW3WrJn5D9/1BQPDsK1Il7QoUJTcX2bzO2etKA888IAhyWjcuHG+X5Kv/aUhv6LAX/7yF0PK/xfNXLkjDe68884S5Zb768WSJUtKtF5hsrKyzHMMP/744zzt5fU4XPsL34gRIwrdTkFfiJYuXWq2xcbG5lkvMzPTLBqEhoaWOP+idO/e3ZDyP7fx2l/qC/rC17JlS0OS8eyzz+ZpK21RoDS5V8WiwIABA8x1cr+I5CpoW/a+XkpaFLj33nsLnem8KhQFBg0aZH4RPH36dJ72EydOGD4+PoYkY8iQITZt5fG+YxjFu/pA/fr1jdGjRxd6nnFhyuI9KPcc65CQEOPixYvF2m96erpRt25dQ5LxwQcfFBjXq1cvQ5Lx/PPP2ywvrChQmsfy2ufL7bffnm+/XvtL+4kTJ4p1vLlOnjxpuLm5GRaLJU+hoyL89ttv5lUF8vsMzi0Y+Pr6Frqd6OhoQ5JRs2bNIvdZkqLA448/br5nPPjgg+Z6NWrUsLlCQO3atQv9USP3/bCkIw63bNlijk7K7woEuQWDu+++u9DtPPTQQ4Yko2XLliXa/+TJk81jzK8YXpTc5361atVKNdICNx7mFADsVL9+fXXu3FmXL1+2mSF2/vz5kmSec1eYDz74QIZhqHv37mrRokW+Md7e3nrooYckSV999ZW5fO/evTpw4IAk6R//+IecnPK+nAcMGKC6desW+5hKonv37pJknhtXXBcvXjSP48UXX8z33LauXbuqTZs2+a5/4cIFrVixQpL08ssvF7ifp59+WpL0448/Fnoe7/Vyz388ffp0sdcpirOzs7p16yap5P1VlOI8Dk5OTnrppZfs2v6yZcskXT3PMHf25WtVq1ZN48aNkyTt379f+/bts2s/BSnO8dWvX998vK/Xq1cvSVdfLxXN3tdIZfHz8zP/vnDhQrHWKY/XS35efPHFUp1nXN4MwzA/BwYNGqTAwMA8MfXq1dOgQYMkSUuXLrVpK+9+zMzM1JkzZ8zbtY9vUlKSLly4UOD5+kUp7XvQL7/8Yq47ceJEWa3WYu33yy+/1O+//66AgABznp/85L43XPv5WZjSPpbXGjlyZL6fcQ888IBcXV0lqcTvmXXr1tWdd94pwzC0ZcuWEq1bWmlpaerTp49SU1NVs2bNfK8KkJKSIkny9PQsdFu57bnxZSX3HP7vv/9eq1atUu/evRUfH2/O0P/pp5/Kz89Pp0+fVq9evfKdn8EwDP3vf/+TZDufQFHOnTunJ554Qjk5OQoJCdHo0aPzxJRn/2zevNm8usMTTzxR5NUVrvfJJ5/o3XfflXT1PbdJkyYlWh83NooCQCnk/iPy4YcfSpKOHDmib7/9VjVq1DC/yBcm9x+hL7/8UoGBgQXecgsNuRNmSVc/8KSrX8rat2+f7/adnJzynQiruH777TeNGjVKLVu2VI0aNeTs7GxOoPTnP/9ZknTy5MkSbXP37t3mxG+FfWAV1LZ161ab9Qvqs+bNm5vrXNtvRenRo4ekqwWH5557TrGxsUpOTi7Wut9++6369eun22+/XdWrV7eZkGzq1KmSSt5fUukfh0aNGsnf37/E+5X+/3nWuXPnAmPuu+8+8wtbbnxJ/Pjjjxo8eLDuuOMO+fj4yMnJyTy+wYMHSyr8+Fq1apVvUUyS6tSpI6n4X3JLqrS5VyVGPpOmFqU0r5eSaNu2bZlvsyzFx8ebz7HCXitdunSRdHVCvfj4eHN5efdjx44dZVwdHWrekpKStG7dOt1xxx16//33de+99+qXX37Jd/3yfA/K/WLr7OysBx54oNjHlPv5mZiYqNq1axf4WTBgwABJxf8cKO1jea2wsLB8l1erVk233HKLpPzfm3JycrRkyRL16tVLQUFB8vDwsPk82bFjh6SKfW/JyspS3759tWvXLrm4uGjJkiXl9qNDaeT+f5CTk6PmzZvrk08+MScwrVatmh555BG9//77kq72X+7f19q2bZsSEhLUqFEjc9K9oly6dEm9evXSsWPH5O3trf/+97+qXr162RxUMRw6dEi9e/dWRkaGmjdvrvfee69E6+f+/yJd/d/q9ddfL4csUZVVq+wEgBvZww8/LF9fX3333Xf6+eeftXDhQklS37595e7uXuT6p06dknT1w6Q4swmnpqaaf589e1aSVKtWLbm5uRW4Tr169Yrcbn5WrlypJ554Qunp6eYyHx8fubu7y2KxKCMjw6y8l0Ru3pIK/YeioLxz+0xSsUcAXNtvRXnxxRf1448/6pNPPtG8efM0b948WSwWNW/eXN26ddOAAQPUuHHjPOu99NJL5hd/6eo/uL6+vuavQZcuXdLly5dL3F9l8TjYWxCQ/v/xKuyxcnd3V61atXTmzBmbx7c4Zs2apeeff978R85ischqtZrP6bS0NCUnJxd6fN7e3gW2Vat29WOuqCtx2KMscr/e888/b47OuF5CQkLpky7EtbNkXztqoDD2vl5KqjTP4Ypgz/va2bNnzSsbVFQ/XsvHx0f333+/7r33XrVo0ULHjh3TwIEDtX79epu48n4Pyn1e16pVS15eXsXOP/ezICMjo1ifBWlpacXabmkfy2vZ896UmpqqHj16aMOGDeYyV1dX+fn5mTPVX7hwQZmZmSX+PMlv1IMkPfbYY/rnP/9Z4HrZ2dl66qmn9Nlnn6latWpasmSJIiMj843NPeaiPndz2wvrI3tcu70XXngh3xFGDz/8sBo1aqQjR47oq6++UnR0tE37qlWrJKlYP+5IV6+40L17d23btk3Vq1fXF198oTvvvLPQ/Mqyf37++Wd16tRJ586dU5MmTbRu3boS9evWrVvVvXt3paWlqW3btlq1apX5/ITjYKQAUApubm564oknJF09FeCjjz6SpEKHMl4rOztbkjR58uQ8v+Lkd8vvcmDXX1arLJw/f179+vVTenq6OnXqpI0bNyo1NVVJSUk6c+aMEhIS9N///rfM91scuX3m4eFRrD4zDKNEoyVcXFy0bNky7dmzR6+99po6deokT09P7d+/X2+//baaNWumadOm2ayzdu1asyAwePBg7du3T+np6bpw4YISEhKUkJCgF154QVLJfo0tq8ehLIZdF/d5VpLn48GDBxUdHa2cnBz16dNHO3bs0JUrV5SYmGj22/Tp0yXZ9yt2eSqv3HMf2/xu5e3HH3+UJDVo0KDY/xDa83qxR1U+deB69rxWKqof8+Pt7a3HHntMkrRhwwabUxgq8j2opJ9luZ8F3bp1K/ZnQUmVx/teUSZMmKANGzbIw8ND77zzjo4dO6YrV67o/Pnz5ntL7giEkh5TQe8thZ06klsQWLZsmZydnbVo0SL95S9/KTA+d3RWYmJioV98f//9d5v4snJtIadp06YFxuW25TeCJLcoUJxTB3ILAt988428vLy0Zs0atWvXrsD43OPNPf6CFLd/fv75Z9133306ffq0GjdurA0bNhRY/MnP1q1b1a1bN6WkpKhNmzb68ssvK3SEA6oOigJAKeUWAGbMmKGTJ08qNDRU99xzT7HWzX3jtuc87NxfXs6dO2fzC871ivrgyc8XX3yh5ORk+fr66n//+586duyY57xIe3+1vPYXo8JyK6gtt8/S0tJ05MgRu3IojjvvvFPjx4/X119/rYsXL2rdunXq0KGDsrOzzV/1cuWeU9q1a1fNnj1boaGhef4Jtqe/yvNxKK7cx+vEiRMFxuT+wyrJHBJbHJ9++qmys7PVtGlTLV26VK1atTJHVuQqz+PL/eJ75cqVAmMK+me5vHJfsGBBmX2hKYnTp0/rhx9+kCS7TjkqyevlZnTt+1phr5Vrh3vn91qprH5s0KCB+ffRo0fNvyviPah27dqSrn6WleSX79J8fhamrB5Le+V+nrz22muKjo5WUFBQnqKDvX1e0HvLggUL8o3Pzs7Wk08+qaVLl5oFgdwCUkFCQ0PNv3/66acC4/bv3y9JNqf6lYU77rjD/LuwYk3ue+r1MT///LMOHTqkW265ReHh4YXuK7cgsGnTJnl6emrNmjXq0KFDoevk9s/Zs2d17ty5fGOys7N16NAhSYX3T25B4NSpUwoJCdGGDRvM11NxbNmyRV27dlVycrLatGmjr776qsxHbuDGQVEAKKV77rlHLVq0UEZGhqTiTTCYK/c82TVr1hTr9IHr9ytdPc+voAmecnJy8h1dUJTcf4SaNGlS4GQ469atK/F2JelPf/qTef73tcMjr3f9ENZc4eHh5od4YRM8laVq1arp/vvv15o1a+Tm5ibDMGyOP7e/7r777nzXNwyjwOMpTHk+DsWV+zz7+uuvC4zZuHGjsrKyJF09v7+4co/vzjvvLHBOgPI8Pl9fX5s8rpeTk1PgHAmVnXtZmzBhgjmMOfe8UnsV9XqR/v8f8YoYAZL7+Ni7r2sf34K2ERwcbJ5yUdhrJbcfatasme9w82sVpx/LyrVfcK8dwl8R70G5X7yys7P15ZdfFnu93M/P33//vUwn8yyPx7Ikivo8OXr0aLkWxHPlFgSuHSHw+OOPF7leu3btzMJRbGxsvjHHjh3TwYMHJanA0xDsde32cidjzk/ul+7rH7vPPvtM0tV5Pgp6b5euFgT+/Oc/a9OmTfLy8tIXX3yhjh07Fplf7lwUUsH9891335kTDBbUPz///LMiIiLMgsDGjRtLNOpiy5YtNiMEYmNjKQg4OIoCQBmYMmWKRo4cqZEjR+qpp54q9noDBgyQxWLRxYsX9eKLLxYam5mZaVM4uOOOO8zhbxMmTDDPa77Whx9+aNdERLmzP//888/5/oq6Z88eLVmypMTbla7Osp37Iff222/nu/1169YVOKuyv7+/OaTvrbfe0s8//1zo/ko6wVxhoy7c3NzMEQDXjgTI7a+CfsV799139dtvv5Uoj2u3Wx6PQ3Hl/hO4detWxcXF5WnPysoyJyQKDQ21+ZWoKLnHt2/fvny/bH355Zd2FbWKK/ecz5UrV+a7/4ULFxb4+qns3MvSjBkzNHv2bElXh2KXZKSAPa8X6eo56dLVq5GUt9LuK3f9wrZhsVjMX1Dfe++9fH/JPXXqlDn5V+5pZ7ns7ceykJ6ebl7RpXr16jYzjlfEe1CjRo3MX1dfeeWVYk+w2LNnT/NX0eeff77Ic7SL+1lQ2seytIr6PCnsqjtlJTs7W3379tWyZctUrVo1LV68uFgFAelqUemRRx6RJM2ZMyff0VZTpkyRZHt1pbISFBRkTlT8zjvvmKeZXGvlypVmYaVnz542bcWZTyC3IJB7ykBxCwKSdOutt5qnF0ybNi3f+W4mT54s6eoInvxGHuQWBHJPGShNQSA8PFxfffWVzfscHFRpr2kIOIrc6y03aNCgROsVdX3dF154wWz/y1/+Yvzwww9GTk6OYRhXr2+/Z88e4/XXXzfq169vfPvttzbrrlixwlz3scceM693nJaWZsyZM8dwc3MzatSoUeD10Au6BvvPP/9sXme3d+/exsmTJw3DuHpd6GXLlhm33HKLUbNmzQKv8VyUnTt3Gs7OzoYko1OnTua1cDMzM41ly5YZvr6+Zt759fevv/5q7v+WW24xPvjgA5trW587d85Yvny58fDDDxuRkZElyi0gIMB4+eWXja1btxpXrlwxl//yyy9Gnz59DEmGk5OTceDAAbPt/fffN/vi9ddfNy5dumQYhmEkJiYaEyZMMJydnc18K/JxyH3O5rfP6+Vu4/prtGdlZRlhYWGGJMNqtRqLFy82MjIyDMO4er3q3GuASzK++OKLIvdzrXXr1pnr/v3vfzfOnz9vGIZhXLp0yXj33XcNT09P8/jyex4U1G/Xmj9/foHrX7v/Z5991vjjjz8MwzCMpKQkY/r06Yarq6t5Pffr91Ha3Evy2Njj2ved6x9TwzCMY8eOGYsWLTLatm1rxrVo0cJITEzMd3sFbcue14thGOZ+H3nkEePy5ctFHkNROnbsaEgyxo0bl6ftySefNCQZ4eHhxoULFwrcRmH9VbduXUOSMWzYMCMzMzPf9U+cOGG+bzVv3tz47rvvzLbNmzcbTZs2NSQZfn5+5ms5l739WJTcfinoefbTTz/ZXMv9pZdesmmvqPegH374wXB3dzckGaGhocaXX35pvs9cvnzZ2LZtmzFw4EBj7dq1NuutXLnSsFgshiTjrrvuMmJjY4309HSz/bfffjPeffddo1WrVsYbb7xhs25hz6/SPJbx8fGFfubnatCggSHJmD9/vs3yp556ypBkeHt7G8uXLzefb7/99pvxxBNPGBaLxfD19S3w+V5aWVlZxhNPPGFeq/6TTz4p8TZ+++03w8vLy5BktG/f3vj5558Nw7j6/jh+/HjzMZsyZUq+62dkZBjnzp0zb5999pnZp7t377Zpy32eXGv37t2Gq6ur+R5z9OhRwzCu/o+xfPly8znbpEkTm9fbmTNnDCcnJ8PDw8NITU3NN7fLly8bERERhiSjevXqxjfffFPi/tmyZYv5P9C1r6vz588bf//7381jXbZsWZ51f/nlF6NOnTpm/qdOnSrRvrdu3Wp4e3sbkoy2bdsaycnJJc4fNyeKAkAxlVdRICsry4iOjjZjJBnu7u5GzZo1jWrVqtks37x5c571x44daxPj6+trrte+fXtjzJgxJf4yahiG8dJLL9ls12q1Gi4uLoYkIzg42Fi8eLHdRQHDMIz33nvP/Mcgd/tubm6GJOP22283pk+fXmh/796922jYsKG5fu4/StWrV7fJu3PnziXK69p1nZycDF9fX/Of1dz9vPPOOzbrZGRkGO3bt8+TS+4/0927dzf+8Y9/VPjjUBZFAcMwjJMnTxrNmzc3Y1xdXc1/mHP76Z///GeR+8jP448/bnN8NWrUMP9ZatmypTFz5sxyKwoYhmE8/fTTefaf+7gNHTq00H2UJveKLAr4+voaAQEBRkBAgFGzZk3z+ZN7c3NzM55//vkCv5wbRsHPD3teL4ZhGB9//LEZ4+LiYtStW9do0KCB0bZt23yPoSiFFQU2bdpkvtc4OzsbtWvXNho0aJDncSnsNfDGG2/Y9Ff9+vWNBg0aGI899phN3MaNGw2r1WrGenl5mV+Ocp8j+X2JsLcfi9svLi4u5nMg9+bp6Wmz38ceeyzfL1gV9R701Vdf2fSdi4uL+eU397Zy5co86y1atMjmWKpVq2bUrFnT/DzJvb355ps26xX1/LL3sSxtUeDo0aNGQECAzfFcm8fEiRMLfb6X1qZNm2weg+ufN9ffli5dmu921qxZY/O4WK1W8/1RktGvXz/zB5DrXfvYFHXL7/VqGIbxySef2LyGfH19bZ4TjRo1Mn755RebdXIL/A8++GCB/bNw4UJzG+7u7kX2z7UFpWvNmzfP5n+8GjVq2PxPVNBj+9e//tWM8fHxKXL/17vvvvvy/WzI73bPPfcU2A+4+XD6AFDJnJ2d9c4772j37t167rnn1KRJEzk7OyspKUm+vr5q27atYmJitGfPnnyv1f3mm2/q888/V6dOneTj46P09HQ1bdpUkydP1tdff51n8rPimjx5sj766CPde++98vDwUGZmpho1aqRXXnlFP/zwQ6lnDH7uuef03XffqWfPnvLz81N6eroaNGigMWPGaMeOHeb53gW5++67deDAAc2aNUudO3dWrVq1lJKSopycHIWEhKhv375aunSpOSy2uOLi4jRmzBi1b99e9evXNy9j1ahRI/31r3/Vzp0781y+yMXFRXFxcRo3bpwaN24sFxcXGYahe++9V3PmzNHq1avtHvZb3o9DcdStW1fff/+9pk+frtatW8vDw0OpqamqX7++oqKitGvXLg0fPtyubS9evFgzZszQHXfcITc3N2VnZ6tFixaaNGmSvvvuu3KfBfnDDz/UP//5T911113y8PBQTk6O2rZtq2XLlmnmzJlVOvfiSkxMNGcZv3z5snx9fXXHHXcoKipKc+bM0enTpzVjxowCzxkvjD2vF0l66qmn9PHHH6tdu3by9PTU6dOndezYsXK57nqHDh20Zs0ade7cWVarVWfOnNGxY8eKfd166eqw9n/+85+655575OLiopMnT+rYsWN5hpZ37NhRhw4d0siRI9W0aVPl5OTIMAw1bdpUo0aN0sGDB9W+ffs827e3H4srMzMzz4zzOTk5Cg4O1uOPP64vv/xSS5cuNS95d62Keg+KjIzUL7/8orFjx+ruu++Wh4eH0tLS1LBhQ3Xt2lXvvfeeOSz8Wk8++aSOHDmif/zjH7rnnntUvXp1Xbx4Ue7u7rrrrrs0dOhQrVu3Ti+99FKJ8rH3sSytBg0a6Pvvv1f//v3NvnV3d1ePHj301VdfacyYMWW+z2tdeypifs+b628FXerxz3/+s/bu3asBAwaoYcOGSktLU40aNdSlSxd9+umnmj9/frlcPSlXnz59tHfvXg0cOFDBwcFKTU2Vq6urWrVqpcmTJ+uHH35Qo0aNbNYpzlUHru2fK1euFNk/ufNNXe/ZZ5/V9u3b1bdvX9WtW1epqany9/fXQw89pK+//loxMTFF7j85ObnI/Re2/rWfDfndCpoIETcni2FUses8AQAAAEAFSU1NVa1atZSenq6EhIQyvaIEcCNgpAAAAAAAh/XVV18pLS1Nbdu2pSAAh1StshMAAAAAgMri5eWlcePGlcspIcCNgNMHAAAAAABwUJw+AAAAAACAg6IoAAAAAACAg6IoAAAAAACAg2KiwQqQk5OjU6dOydvbu1yvyQoAAAAAgCQZhqGUlBTVqVNHTk4FjwegKFABTp06pfr161d2GgAAAAAAB3PixAnVq1evwHaKAhXA29tb0tUHw8fHp5KzAQAAAADc7JKTk1W/fn3z+2hBKApUgNxTBnx8fCgKAAAAAAAqTFGnsDPRIAAAAAAADoqiAAAAAAAADoqiAAAAAAAADoo5BaqInJwcZWRkVHYaNzwXFxc5OztXdhoAAAAAcEOgKFAFZGRkKD4+Xjk5OZWdyk2hRo0aCgwMLHJCDQAAAABwdBQFKplhGDp9+rScnZ1Vv359OTlxRoe9DMNQamqqzp49K0mqXbt2JWcEAAAAAFUbRYFKlpWVpdTUVNWpU0eenp6Vnc4Nz8PDQ5J09uxZ+fv7cyoBAAAAABSCn6UrWXZ2tiTJ1dW1kjO5eeQWVzIzMys5EwAAAACo2igKVBGc/1526EsAAAAAKB6KAgAAAAAAOCiKAgAAAAAAOCgmGqyiGr68pkL3d3Ry9xLFT5o0SStWrNChQ4fk4eGh8PBwTZkyRU2aNDFjDMPQ+PHjNXfuXCUmJiosLEyzZ89W8+bNzZi5c+dqyZIl2r17t1JSUpSYmKgaNWrk2d+aNWv0+uuva+/evfLy8lKHDh20YsUKu48XAAAAAMBIAdhp06ZNGjJkiLZt26a1a9cqKytLkZGRunz5shkzdepUTZ8+XbNmzdLOnTsVGBioLl26KCUlxYxJTU1Vt27d9MorrxS4r+XLlysqKkp//etf9eOPP+q7775T3759y/X4AAAAAMARMFIAdomNjbW5P3/+fPn7+2vXrl3q0KGDDMPQjBkzNHbsWPXu3VuStHDhQgUEBGjJkiUaOHCgJCk6OlqStHHjxnz3k5WVpeeff15vvfWW+vfvby6/dkQCAAAAAMA+jBRAmUhKSpIk+fn5SZLi4+OVkJCgyMhIM8bNzU0dO3bUli1bir3d3bt36/fff5eTk5Puvvtu1a5dWw888IB++umnsj0AAAAAAHBAjBRAqRmGoREjRqhdu3YKDQ2VJCUkJEiSAgICbGIDAgJ07NixYm/7t99+kyTFxMRo+vTpatiwoaZNm6aOHTvq559/NosQAAAAAFBVnXz523yX15vcvoIzyYuRAii1oUOHau/evfrPf/6Tp81isdjcNwwjz7LC5OTkSJLGjh2rRx55RC1bttT8+fNlsVj03//+t3SJAwAAAICDoyiAUhk2bJhWr16tDRs2qF69eubywMBASf8/YiDX2bNn84weKEzt2rUlSc2aNTOXubm56dZbb9Xx48dLkzoAAAAAODyKArCLYRgaOnSoVqxYofXr1ys4ONimPTg4WIGBgVq7dq25LCMjQ5s2bVJ4eHix99OyZUu5ubnp8OHD5rLMzEwdPXpUDRo0KP2BAAAAAIADY04B2GXIkCFasmSJVq1aJW9vb3NEgNVqlYeHhywWi6KjozVx4kSFhIQoJCREEydOlKenp83lBBMSEpSQkKAjR45Ikvbt2ydvb28FBQXJz89PPj4+GjRokMaNG6f69eurQYMGeuuttyRJffr0qfgDBwAAAICbCEUB2GXOnDmSpIiICJvl8+fPV79+/SRJo0ePVlpamgYPHqzExESFhYUpLi5O3t7eZvy7776r8ePHm/c7dOiQZztvvfWWqlWrpqioKKWlpSksLEzr16+Xr69v+R0gAAAAADgAi2EYRmUncbNLTk6W1WpVUlKSfHx8bNquXLmi+Ph4BQcHy93dvZIyvLnQpwAAAACqksq4+kBh30OvxZwCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4KIoCAAAAAAA4qGqVnQAKEGOt4P0llSh80qRJWrFihQ4dOiQPDw+Fh4drypQpatKkiRljGIbGjx+vuXPnKjExUWFhYZo9e7aaN29uxsydO1dLlizR7t27lZKSosTERNWoUcNs37hxo+677758c9ixY4datWpVsuMEAAAAAJgYKQC7bNq0SUOGDNG2bdu0du1aZWVlKTIyUpcvXzZjpk6dqunTp2vWrFnauXOnAgMD1aVLF6WkpJgxqamp6tatm1555ZV89xMeHq7Tp0/b3J599lk1bNhQ99xzT7kfJwAAAADczBgpALvExsba3J8/f778/f21a9cudejQQYZhaMaMGRo7dqx69+4tSVq4cKECAgK0ZMkSDRw4UJIUHR0t6eqIgPy4uroqMDDQvJ+ZmanVq1dr6NChslgsZX9gAAAAAOBAGCmAMpGUdPX0Az8/P0lSfHy8EhISFBkZaca4ubmpY8eO2rJli937Wb16tf744w/169evVPkCAAAAACgKoAwYhqERI0aoXbt2Cg0NlSQlJCRIkgICAmxiAwICzDZ7fPDBB+ratavq169vf8IAAAAAAEmcPoAyMHToUO3du1ebN2/O03b9EH/DMOwe9n/y5El99dVX+uSTT+xaHwAAAABgi6IASmXYsGFavXq1vvnmG9WrV89cnjsPQEJCgmrXrm0uP3v2bJ7RA8U1f/581axZU7169Spd0gAAAABQxqY91qPAtseCX6rATEqG0wdgF8MwNHToUK1YsULr169XcHCwTXtwcLACAwO1du1ac1lGRoY2bdqk8PBwu/Y3f/58Pf3003JxcSl1/gAAAAAARgrATkOGDNGSJUu0atUqeXt7m/MEWK1WeXh4yGKxKDo6WhMnTlRISIhCQkI0ceJEeXp6qm/fvuZ2EhISlJCQoCNHjkiS9u3bJ29vbwUFBZmTFkrS+vXrFR8fr/79+1fsgQIAAADATYyiAOwyZ84cSVJERITN8vnz55tXBhg9erTS0tI0ePBgJSYmKiwsTHFxcfL29jbj3333XY0fP96836FDhzzbka5OMBgeHq6mTZuWzwEBAAAAgAOyGIZhVHYSN7vk5GRZrVYlJSXJx8fHpu3KlSuKj49XcHCw3N3dKynDmwt9CgAAAKCi2TOnQL3J7csrnUK/h16LOQUAAAAAAHBQVbIoEBMTI4vFYnPLnc1eujrpXExMjOrUqSMPDw9FRETop59+stlGenq6hg0bplq1asnLy0u9evXSyZMnbWISExMVFRUlq9Uqq9WqqKgoXbx40Sbm+PHj6tmzp7y8vFSrVi0NHz5cGRkZ5XbsAAAAAABUlCpZFJCk5s2b6/Tp0+Zt3759ZtvUqVM1ffp0zZo1Szt37lRgYKC6dOmilJQUMyY6OlorV67U0qVLtXnzZl26dEk9evRQdna2GdO3b1/t2bNHsbGxio2N1Z49exQVFWW2Z2dnq3v37rp8+bI2b96spUuXavny5Ro5cmTFdAIAAAAAAOWoyk40WK1aNZvRAbkMw9CMGTM0duxY9e7dW5K0cOFCBQQEaMmSJRo4cKCSkpL0wQcf6OOPP1bnzp0lSYsWLVL9+vW1bt06de3aVQcPHlRsbKy2bdumsLAwSdK8efPUpk0bHT58WE2aNFFcXJwOHDigEydOqE6dOpKkadOmqV+/fpowYUKh52UAAAAAAFDVVdmRAr/88ovq1Kmj4OBgPf744/rtt98kSfHx8UpISFBkZKQZ6+bmpo4dO2rLli2SpF27dikzM9Mmpk6dOgoNDTVjtm7dKqvVahYEJKl169ayWq02MaGhoWZBQJK6du2q9PR07dq1q/wOHgAAAACAClAlRwqEhYXpo48+UuPGjXXmzBm9+eabCg8P108//aSEhARJUkBAgM06AQEBOnbsmCQpISFBrq6u8vX1zROTu35CQoL8/f3z7Nvf398m5vr9+Pr6ytXV1YzJT3p6utLT0837ycnJxT10AAAAAAAqTJUsCjzwwAPm3y1atFCbNm102223aeHChWrdurUkyWKx2KxjGEaeZde7Pia/eHtirjdp0iSNHz++0FwAAAAAAKhsVfb0gWt5eXmpRYsW+uWXX8x5Bq7/pf7s2bPmr/qBgYHKyMhQYmJioTFnzpzJs69z587ZxFy/n8TERGVmZuYZQXCtMWPGKCkpybydOHGihEcMAAAAAED5uyGKAunp6Tp48KBq166t4OBgBQYGau3atWZ7RkaGNm3apPDwcElSy5Yt5eLiYhNz+vRp7d+/34xp06aNkpKStGPHDjNm+/btSkpKsonZv3+/Tp8+bcbExcXJzc1NLVu2LDBfNzc3+fj42NwAAAAAAKhqquTpA6NGjVLPnj0VFBSks2fP6s0331RycrKeeeYZWSwWRUdHa+LEiQoJCVFISIgmTpwoT09P9e3bV5JktVrVv39/jRw5UjVr1pSfn59GjRqlFi1amFcjaNq0qbp166YBAwbovffekyQ999xz6tGjh5o0aSJJioyMVLNmzRQVFaW33npLFy5c0KhRozRgwAC+6AMAAAAAbnhVsihw8uRJPfHEE/rjjz90yy23qHXr1tq2bZsaNGggSRo9erTS0tI0ePBgJSYmKiwsTHFxcfL29ja38c4776hatWp69NFHlZaWpvvvv18LFiyQs7OzGbN48WINHz7cvEpBr169NGvWLLPd2dlZa9as0eDBg9W2bVt5eHiob9++evvtt8u9D1osbFHu+7jWvmf2lSh+0qRJWrFihQ4dOiQPDw+Fh4drypQpZkFFujr3wvjx4zV37lzzcZo9e7aaN29uxsydO1dLlizR7t27lZKSosTERNWoUcNmXz///LNefPFFfffdd8rIyFCLFi305ptv6r777ivVMQMAAACAo7MYhmFUdhI3u+TkZFmtViUlJeUZYXDlyhXFx8crODhY7u7u5vKqXhTo1q2bHn/8cbVq1UpZWVkaO3as9u3bpwMHDsjLy0uSNGXKFE2YMEELFixQ48aN9eabb+qbb77R4cOHzQLOjBkzdOXKFUlX52LIrygQEhKixo0ba9KkSfLw8NCMGTO0YMEC/frrr+YcE9cqqE8BAAAAoDgO3t403+XrI2YXuM6VxOkFtj0W/FK+y+tNbl+yxEqgsO+h16qSIwVQ9cXGxtrcnz9/vvz9/bVr1y516NBBhmFoxowZGjt2rHr37i1JWrhwoQICArRkyRINHDhQkhQdHS1J2rhxY777+eOPP3TkyBF9+OGHuuOOOyRJkydP1r///W/99NNP+RYFAAAAAADFc0NMNIiqLykpSZLk5+cnSYqPj1dCQoJ5aoZ0dQLGjh07asuWLcXebs2aNdW0aVN99NFHunz5srKysvTee+8pICCg0MkeAQAAAABFY6QASs0wDI0YMULt2rVTaGiopP+/ZOT1l24MCAjQsWPHir1ti8WitWvX6sEHH5S3t7ecnJwUEBCg2NjYPKcZAAAAAABKhpECKLWhQ4dq7969+s9//pOnzWKx2Nw3DCPPssIYhqHBgwfL399f3377rXbs2KEHH3xQPXr0sLlUJAAAAACg5CgKoFSGDRum1atXa8OGDapXr565PPdc/9wRA7nOnj2bZ/RAYdavX6/PP/9cS5cuVdu2bfWnP/1J//73v+Xh4aGFCxeWzUEAAAAAgIOiKAC7GIahoUOHasWKFVq/fr2Cg4Nt2oODgxUYGKi1a9eayzIyMrRp0yaFh4cXez+pqamSJCcn26eqk5OTcnJySnEEAAAAAADmFIBdhgwZoiVLlmjVqlXy9vY2RwRYrVZ5eHjIYrEoOjpaEydOVEhIiEJCQjRx4kR5enqqb9++5nYSEhKUkJCgI0eOSJL27dsnb29vBQUFyc/PT23atJGvr6+eeeYZvfbaa/Lw8NC8efMUHx+v7t27V8qxAwAAAMDNgqJAFbXvmX2VnUKh5syZI0mKiIiwWT5//nz169dPkjR69GilpaVp8ODBSkxMVFhYmOLi4uTt7W3Gv/vuuxo/frx5v0OHDjbbqVWrlmJjYzV27Fh16tRJmZmZat68uVatWqU777yzfA8SAAAAAG5yFsMwjMpO4maXnJwsq9WqpKQk+fj42LRduXJF8fHxCg4Olru7eyVleHOhTwEAAACUxsHbm+a7fH3E7ALXuZI4vcC2x4Jfynd5vcntS5ZYCRT2PfRazCkAAAAAAICDoigAAAAAAICDYk4BAAAAAIDDabGwRYFtn1RgHpWNkQIAAAAAADgoigIAAAAAADgoigIAAAAAADgoigIAAAAAADgoigIAAAAAADgoigIAAAAAADgoigIAAAAAADioapWdAPJ38PamFbq/pocOlih+0qRJWrFihQ4dOiQPDw+Fh4drypQpatKkiRljGIbGjx+vuXPnKjExUWFhYZo9e7aaN29uxsydO1dLlizR7t27lZKSosTERNWoUcNmX7t379ZLL72knTt3ytnZWY888oimT5+u6tWrl+qYAQAAAMDRURSAXTZt2qQhQ4aoVatWysrK0tixYxUZGakDBw7Iy8tLkjR16lRNnz5dCxYsUOPGjfXmm2+qS5cuOnz4sLy9vSVJqamp6tatm7p166YxY8bk2c+pU6fUuXNnPfbYY5o1a5aSk5MVHR2tfv366dNPP63QYwYAAABQNTV8eU2BbUfd++bfEBxUTtncWCgKwC6xsbE29+fPny9/f3/t2rVLHTp0kGEYmjFjhsaOHavevXtLkhYuXKiAgAAtWbJEAwcOlCRFR0dLkjZu3Jjvfj7//HO5uLho9uzZcnK6erbL7Nmzdffdd+vIkSNq1KhR+RwgAAAAADgA5hRAmUhKSpIk+fn5SZLi4+OVkJCgyMhIM8bNzU0dO3bUli1bir3d9PR0ubq6mgUBSfLw8JAkbd68uSxSBwAAAACHRVEApWYYhkaMGKF27dopNDRUkpSQkCBJCggIsIkNCAgw24qjU6dOSkhI0FtvvaWMjAwlJibqlVdekSSdPn26jI4AAAAAABwTRQGU2tChQ7V371795z//ydNmsVhs7huGkWdZYZo3b66FCxdq2rRp8vT0VGBgoG699VYFBATI2dm51LkDAAAAgCOjKIBSGTZsmFavXq0NGzaoXr165vLAwEBJyjMq4OzZs3lGDxSlb9++SkhI0O+//67z588rJiZG586dU3BwcOkPAAAAAAAcGEUB2MUwDA0dOlQrVqzQ+vXr83xBDw4OVmBgoNauXWsuy8jI0KZNmxQeHm7XPgMCAlS9enUtW7ZM7u7u6tKlS6mOAQAAAAAcHVcfgF2GDBmiJUuWaNWqVfL29jZHBFitVnl4eMhisSg6OloTJ05USEiIQkJCNHHiRHl6eqpv3/+/JEhCQoISEhJ05MgRSdK+ffvk7e2toKAgc9LCWbNmKTw8XNWrV9fatWv14osvavLkyapRo0aFHzcAAAAA3EwoClRRTQ8drOwUCjVnzhxJUkREhM3y+fPnq1+/fpKk0aNHKy0tTYMHD1ZiYqLCwsIUFxcnb29vM/7dd9/V+PHjzfsdOnTIs50dO3Zo3LhxunTpkm6//Xa99957ioqKKr+DAwAAAAAHQVEAdjEMo8gYi8WimJgYxcTEFBhTVLskffTRRyXMDgAAAABQHMwpAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6pW2Qkgf7MHra/Q/Q15t1OJ4idNmqQVK1bo0KFD8vDwUHh4uKZMmaImTZqYMYZhaPz48Zo7d64SExMVFham2bNnq3nz5pKkCxcuaNy4cYqLi9OJEydUq1YtPfTQQ3rjjTdktVrN7SQmJmr48OFavXq1JKlXr16aOXOmatSoUfoDBwAAAAAHxkgB2GXTpk0aMmSItm3bprVr1yorK0uRkZG6fPmyGTN16lRNnz5ds2bN0s6dOxUYGKguXbooJSVFknTq1CmdOnVKb7/9tvbt26cFCxYoNjZW/fv3t9lX3759tWfPHsXGxio2NlZ79uxRVFRUhR4vAAAAANyMGCkAu8TGxtrcnz9/vvz9/bVr1y516NBBhmFoxowZGjt2rHr37i1JWrhwoQICArRkyRINHDhQoaGhWr58ubmN2267TRMmTNBTTz2lrKwsVatWTQcPHlRsbKy2bdumsLAwSdK8efPUpk0bHT582GZkAgCgfJ18+dt8l9eb3L6CMwEAAGWFkQIoE0lJSZIkPz8/SVJ8fLwSEhIUGRlpxri5ualjx47asmVLodvx8fFRtWpX61Vbt26V1Wo1CwKS1Lp1a1mt1kK3AwAAAAAoGkUBlJphGBoxYoTatWun0NBQSVJCQoIkKSAgwCY2ICDAbLve+fPn9cYbb2jgwIHmsoSEBPn7++eJ9ff3L3A7AAAAAIDi4fQBlNrQoUO1d+9ebd68OU+bxWKxuW8YRp5lkpScnKzu3burWbNmGjduXKHbKGw7AAAAAIDiY6QASmXYsGFavXq1NmzYoHr16pnLAwMDJSnPr/lnz57NM3ogJSVF3bp1U/Xq1bVy5Uq5uLjYbOfMmTN59nvu3Lk82wEAAAAAlAxFAdjFMAwNHTpUK1as0Pr16xUcHGzTHhwcrMDAQK1du9ZclpGRoU2bNik8PNxclpycrMjISLm6umr16tVyd3e32U6bNm2UlJSkHTt2mMu2b9+upKQkm+0AAAAAAEqO0wdglyFDhmjJkiVatWqVvL29zREBVqtVHh4eslgsio6O1sSJExUSEqKQkBBNnDhRnp6e6tu3r6SrIwQiIyOVmpqqRYsWKTk5WcnJyZKkW265Rc7OzmratKm6deumAQMG6L333pMkPffcc+rRowdXHgAAAACAUqIoUEUNebdTZadQqDlz5kiSIiIibJbPnz9f/fr1kySNHj1aaWlpGjx4sBITExUWFqa4uDh5e3tLknbt2qXt27dLkho1amSznfj4eDVs2FCStHjxYg0fPty8kkGvXr00a9ascjoyAAAAAHAcFAVgF8MwioyxWCyKiYlRTExMvu0RERHF2o6fn58WLVpU0hQBwOEdvL1pvsubHjpYwZkAAICqqlRFgXPnzmn+/Pn69ttvderUKVksFtWuXVsdOnTQM888k++l5AAAAAAAQNVgd1Fg+fLl6t+/v1JSUvL82vvFF19owoQJ+vDDD9W7d+9SJwkAAAAAAMqeXVcf+P777/XEE0/o0qVLevjhh7Vy5Ur98MMP+uGHH/TZZ5+pd+/eunTpkp544gl9//33ZZ0zAAAAAAAoA3aNFJg0aZKys7P13//+N89IgDvvvFO9evUyiwOTJ0/Wp59+WibJAgAAAACAsmPXSIHNmzcrPDy80FMDHnroIbVt21bffvut3ckBAAAAAIDyY1dRICkpSUFBQUXGBQUFKSkpyZ5dmCZNmmRe8z6XYRiKiYlRnTp15OHhoYiICP30008266Wnp2vYsGGqVauWvLy81KtXL508edImJjExUVFRUbJarbJarYqKitLFixdtYo4fP66ePXvKy8tLtWrV0vDhw5WRkVGqYwIAAAAAoCqwqygQGBioPXv2FBm3Z88eBQYG2rMLSdLOnTs1d+5c3XHHHTbLp06dqunTp2vWrFnauXOnAgMD1aVLF6WkpJgx0dHRWrlypZYuXarNmzfr0qVL6tGjh7Kzs82Yvn37as+ePYqNjVVsbKz27NmjqKgosz07O1vdu3fX5cuXtXnzZi1dulTLly/XyJEj7T4mAAAAAACqCruKAl27dtWhQ4f06quv5nudecMw9I9//EOHDh1St27d7Ers0qVLevLJJzVv3jz5+vrabHvGjBkaO3asevfurdDQUC1cuFCpqalasmSJpKsjGT744ANNmzZNnTt31t13361FixZp3759WrdunSTp4MGDio2N1fvvv682bdqoTZs2mjdvnj7//HMdPnxYkhQXF6cDBw5o0aJFuvvuu9W5c2dNmzZN8+bNU3Jysl3HBQAAAABAVWFXUeDVV1+Vn5+fJk6cqMaNG2vs2LGaN2+e3n//fY0dO1YhISGaNGmSatasqX/84x92JTZkyBB1795dnTt3tlkeHx+vhIQERUZGmsvc3NzUsWNHbdmyRZK0a9cuZWZm2sTUqVNHoaGhZszWrVtltVoVFhZmxrRu3VpWq9UmJjQ0VHXq1DFjunbtqvT0dO3atavA3NPT05WcnGxzAwAAAACgqrHr6gP16tXT+vXr9eSTT2r//v3mef+SzJEDLVq00OLFi1WvXr0Sb3/p0qXavXu3du7cmactISFBkhQQEGCzPCAgQMeOHTNjXF1dbUYY5Mbkrp+QkCB/f/882/f397eJuX4/vr6+cnV1NWPyM2nSJI0fP76owwQAAAAAoFLZVRSQrn7p37t3rzZu3Khvv/1Wp06dknT1F/n27dsrIiLCru2eOHFCzz//vOLi4uTu7l5gXG4RIpdhGHmWXe/6mPzi7Ym53pgxYzRixAjzfnJysurXr19obteb9liPEsWX1shln5coftKkSVqxYoUOHTokDw8PhYeHa8qUKWrSpIkZYxiGxo8fr7lz5yoxMVFhYWGaPXu2mjdvLkm6cOGCxo0bp7i4OJ04cUK1atXSQw89pDfeeENWq9XczoQJE7RmzRrt2bNHrq6ueSaDBACUncI+fx4LfqkCMwEAABXB7qJAroiICLsLAPnZtWuXzp49q5YtW5rLsrOz9c0332jWrFnm+f4JCQmqXbu2GXP27FnzV/3AwEBlZGQoMTHRZrTA2bNnFR4ebsacOXMmz/7PnTtns53t27fbtCcmJiozMzPPCIJrubm5yc3NraSHfkPZtGmThgwZolatWikrK0tjx45VZGSkDhw4IC8vL0n/PyHkggUL1LhxY7355pvq0qWLDh8+LG9vb506dUqnTp3S22+/rWbNmunYsWMaNGiQTp06pU8//dTcV0ZGhvr06aM2bdrogw8+qKxDBgAAAICbjl1zCpSn+++/X/v27dOePXvM2z333KMnn3xSe/bs0a233qrAwECtXbvWXCcjI0ObNm0yv/C3bNlSLi4uNjGnT5/W/v37zZg2bdooKSlJO3bsMGO2b9+upKQkm5j9+/fr9OnTZkxcXJzc3NxsihaOKDY2Vv369VPz5s115513av78+Tp+/Lg510JxJoQMDQ3V8uXL1bNnT912223q1KmTJkyYoP/973/Kysoy9zV+/Hi98MILatGiRaUcKwAAAADcrIo1UuCbb76RJN17771yd3c37xdXhw4dih3r7e2t0NBQm2VeXl6qWbOmuTw6OloTJ05USEiIQkJCNHHiRHl6eqpv376SJKvVqv79+2vkyJGqWbOm/Pz8NGrUKLVo0cKcuLBp06bq1q2bBgwYoPfee0+S9Nxzz6lHjx7mEPjIyEg1a9ZMUVFReuutt3ThwgWNGjVKAwYMkI+PT4n64GaXlJQkSfLz85NU9ISQAwcOLHA7Pj4+qlat1INYAAAAAABFKNY3r4iICFksFh08eFCNGzc27xdXdna23QnmZ/To0UpLS9PgwYPNc9Xj4uLk7e1txrzzzjuqVq2aHn30UaWlpen+++/XggUL5OzsbMYsXrxYw4cPN7+49urVS7NmzTLbnZ2dtWbNGg0ePFht27aVh4eH+vbtq7fffrtMj+dGZxiGRowYoXbt2pmFm+JMCHm98+fP64033iiwYAAAAAAAKFvFKgo8/fTTslgs5uRvufcrysaNG23uWywWxcTEKCYmpsB13N3dNXPmTM2cObPAGD8/Py1atKjQfQcFBenzz0s2CZ+jGTp0qPbu3avNmzfnaSvuhJDJycnq3r27mjVrpnHjxpVbrgAAAACA/1esosCCBQsKvQ/HNWzYMK1evVrffPONzeUnAwMDJRU+IWSulJQUdevWTdWrV9fKlSvl4uJSMckDgIOaPWh9ZacAAACqCLsmGly9erW+/PLLss4FNxDDMDR06FCtWLFC69evV3BwsE17cHBwkRNCSldHCERGRsrV1VWrV68u9DKUAAAAAICyZddsbg8//LAiIyP1wAMPlHU+uEEMGTJES5Ys0apVq+Tt7W3OIWC1WuXh4SGLxVLkhJApKSmKjIxUamqqFi1apOTkZCUnJ0uSbrnlFnP+h+PHj+vChQs6fvy4srOztWfPHklSo0aNVL169Yo/eAAAAAC4SdhVFLjlllvk6+tb1rngGiOXVe15DObMmSPp6iSU15o/f7769esnqegJIXft2qXt27dLuvoF/1rx8fFq2LChJOm1117TwoULzba7775bkrRhw4Y8+wcAR9NiYcGXa/2kAvMAAAA3JruKAhEREdqxY0eBk8bh5mcYRpExRU0IGRERUaztLFiwgHksAAAAAKAc2FUUeOONN9SqVSu98MILmjx5MueBA1XMyZe/zXd5vcntKzgTAAAAAFWZXUWB//znP/rzn/+smTNnaunSpercubOCgoLyLQ5YLBa9+uqrpU4UAAAAAACULbuKAjExMbJYLDIMQ2fPntWSJUsKjKUoAABAGYix5r88OKhi8wAAADcVu4oC8+fPL+s8AAAAAABABbOrKPDMM8+UdR4AAAAAAKCCOVV2AgAAAAAAoHJQFAAAAAAAwEHZdfqAdPU69YsXL9aqVav0yy+/KCUlJd9rzlssFv3666+lShIAAAAAAJQ9u4oCGRkZ6t69u9avX59vIUCSeXUCAAAAAABQNdl1+sC0adP09ddfq0ePHvrll18UFRUli8Wi9PR0HTx4UDExMfLy8tKLL76onJycss4ZVcCkSZPUqlUreXt7y9/fXw899JAOHz5sE2MYhmJiYlSnTh15eHgoIiJCP/30k9l+4cIFDRs2TE2aNJGnp6eCgoI0fPhwJSUlmTFHjx5V//79FRwcLA8PD912220aN26cMjIyKuxYAQAAAOBmZddIgWXLlsnPz09LliyRl5eXnJyu1hZcXFzUpEkTvfbaa7rvvvt03333qUmTJvrb3/5Wpkk7gpMvf1uh+6s3uX2J4jdt2qQhQ4aoVatWysrK0tixYxUZGakDBw7Iy8tLkjR16lRNnz5dCxYsUOPGjfXmm2+qS5cuOnz4sLy9vXXq1CmdOnVKb7/9tpo1a6Zjx45p0KBBOnXqlD799FNJ0qFDh5STk6P33ntPjRo10v79+zVgwABdvnxZb7/9dpn3AwBUpoYvrymw7ah7BSYCAAAchl1FgSNHjqhDhw7ml7/cokB2dracnZ0lSe3bt1fbtm3173//m6LATSg2Ntbm/vz58+Xv769du3apQ4cOMgxDM2bM0NixY9W7d29J0sKFCxUQEKAlS5Zo4MCBCg0N1fLly81t3HbbbZowYYKeeuopZWVlqVq1aurWrZu6detmxtx66606fPiw5syZQ1EAAAAAAErJrtMHnJ2d5ePjY97PLQ6cO3fOJq5u3bp5hpTj5pQ75N/Pz0+SFB8fr4SEBEVGRpoxbm5u6tixo7Zs2VLodnx8fFStWsH1qqSkJHM/AAAAAAD72VUUqFu3ro4fP27eb9SokSRp27ZtNnF79+5V9erVS5EebgSGYWjEiBFq166dQkNDJUkJCQmSpICAAJvYgIAAs+1658+f1xtvvKGBAwcWuK9ff/1VM2fO1KBBg8ooewAAAABwXHYVBVq3bq2ffvpJaWlpkqQ///nPkqTnn39eX375pfbt26dhw4bp4MGDCgsLK7tsUSUNHTpUe/fu1X/+8588bRaLxea+YRh5lklScnKyunfvrmbNmmncuHH57ufUqVPq1q2b+vTpo2effbZskgcAAAAAB2ZXUeCRRx6Rp6en1q5dK+nqSIHo6GidOHFCPXr00F133aXZs2fL09NTU6ZMKdOEUbUMGzZMq1ev1oYNG1SvXj1zeWBgoCTlGRVw9uzZPKMHUlJS1K1bN1WvXl0rV66Ui4tLnv2cOnVK9913n9q0aaO5c+eWw5EAAAAAgOOxa6LB7t276/Tp0zbLpk2bplatWumzzz5TYmKiGjdurOHDhyskJKRMEkXVYhiGhg0bppUrV2rjxo0KDg62aQ8ODlZgYKDWrl2ru+++W5KUkZGhTZs22RSKkpOT1bVrV7m5uWn16tVyd887vfbvv/+u++67Ty1bttT8+fPNiS0d3bTHehTY9ljwSxWYCaSCrxhS0it7AAAAABXJrqJAQR5//HE9/vjjZblJVFFDhgzRkiVLtGrVKnl7e5sjAqxWqzw8PGSxWBQdHa2JEycqJCREISEhmjhxojw9PdW3b19JV0cIREZGKjU1VYsWLVJycrKSk5MlSbfccoucnZ116tQpRUREKCgoSG+//bbNZJa5oxEAAAAAAPYp06IAHMecOXMkSRERETbL58+fr379+kmSRo8erbS0NA0ePFiJiYkKCwtTXFycvL29JUm7du3S9u3bJf3/ZJW54uPj1bBhQ8XFxenIkSM6cuSIzekJ0tXRCgAAAAAA+1EUqKKq+pDj4nwht1gsiomJUUxMTL7tERERRW6nX79+ZpEBAAAAAFC2ilUUcHZ2tnsHFotFWVlZdq8PAAAAAADKR7GKAvXr18/3MnIA4EiY3BEAAAA3m2IVBY4ePVrOaQAAAAAAgIrGnAJAFXDw9qb5Lm966GAFZwIAAADAkVAUAKqw2YPWV3YKAAAAAG5ipS4KpKSk6Ndff1VKSkqBM8l36NChtLu56XF5vbJTVfuyxcIWBbZ9UoF5AAAAAEAuu4sC+/fvV3R0tDZu3Fjkl7Ds7Gx7d3PTy72yQ0ZGhjw8PCo5m5tDamqqJMnFxaWSMwEAAACAqs2uosAvv/yidu3aKTk5WW3bttXp06cVHx+vxx9/XL/99pt2796trKws9erVSzVq1CjjlG8u1apVk6enp86dOycXFxc5OTlVdko3LMMwlJqaqrNnz6pGjRqlupQmAAAAADgCu4oCb775plJSUjR//nw988wz+utf/6r4+HgtXrxYknTkyBH1799fBw4c0LZt28o04ZuNxWJR7dq1FR8fr2PHjlV2OjeFGjVqKDAwsLLTAAAAAIAqz66iwPr169W0aVM988wz+bY3atRIq1at0q233qpXX31Vs2bNKlWSNztXV1eFhIQoIyOjslO54bm4uFT+CIEYa/7Lg4MqNg8AAAAAKIJdRYGzZ8+qTZs25v3cc7evXLkid3d3SVd/rY2IiNDnn39OUaAYnJyczL4DAAAAAKAi2FUU8PPz05UrV2zuS9KxY8fUpEkTm9izZ8+WIj0AKB8Hb2+a7/Kmhw5WcCYAADi2ky9/m+/yepPbV3AmgGOya1a74OBgxcfHm/fvuusuGYahpUuXmsv++OMPbdy4UUFBDJkGAAAAAKAqsqsoEBkZqQMHDpiFgZ49e6pWrVp6/fXX9dhjj2nkyJFq1aqVkpKS9Oijj5ZpwgAAAAAAoGzYdfpAVFSU0tPTde7cOQUHB8vLy0tLly7Vo48+qv/+979mXJcuXTR27NgySxYAAAAAAJQdu4oCt912myZNmmSzrFOnTjp27Ji+/fZbJSYmqnHjxmrZsmWZJAkAAAAAAMqeXUWBgnh5ealbt25luUkAAAAAAFBOyrQoIEmHDh3S/v37FRQUpHvvvbesNw8AAAAAAMqIXUWBZcuW6b333tOkSZMUFhZmLn/55Zf11ltvmfd79+6tZcuWycnJrvkMAaDCzR60vrJTAAAAACqMXUWBRYsW6YcfftBdd91lLtu+fbumTp0qHx8fde/eXdu2bdOKFSv0n//8R08++WRZ5QsAAADgBjPtsR4Ftj0W/FIFZgLgenYVBfbv36877rhDbm5u5rKPPvpIFotFn3zyiSIjI5WYmKjg4GDNnTuXogCAStFiYYsC2z6pwDwAAACAqsqucf1nz55V3bp1bZZt2LBB/v7+ioyMlCT5+vqqffv2+uWXX0qfJQAAAAAAKHN2jRTw9PRUamqqef/ChQs6fPiw+vTpYxNXo0YNJSYmli5DoApq+PKaAtuOuldgIgAAAABQCnaNFLj11lu1detWZWZmSpJWrFghSeYogVwJCQny9/cvZYoAAAAAAKA82FUU+Nvf/qZz586pQ4cOGjFihF588UVVr15dDz74oBmTlZWl77//Xo0bNy6zZAEAAAAAQNmx6/SB/v37a8OGDfrkk0+0fft2eXl5ad68eapZs6YZ87///U9JSUnq1KlTmSULAAAAAADKjl1FgWrVqmnp0qWaMmWKzp49q9tvv13e3t42McHBwVq5cqVat25dJokCAAAAAICyZVdRIFeDBg3UoEGDfNvuuusu3XXXXaXZPAAUT4w1/+XBQRWbBwAAAHCDsWtOAQAAAAAAcOOjKAAAAAAAgIMq1ekDAABUlpMvf5vv8nqT21dwJgAASZo9aH1lpwDADlVypMCcOXN0xx13yMfHRz4+PmrTpo2+/PJLs90wDMXExKhOnTry8PBQRESEfvrpJ5ttpKena9iwYapVq5a8vLzUq1cvnTx50iYmMTFRUVFRslqtslqtioqK0sWLF21ijh8/rp49e8rLy0u1atXS8OHDlZGRUW7HDgAAAFS2FgtbFHg7eHvTfG8AbkxVsihQr149TZ48Wd9//72+//57derUSQ8++KD5xX/q1KmaPn26Zs2apZ07dyowMFBdunRRSkqKuY3o6GitXLlSS5cu1ebNm3Xp0iX16NFD2dnZZkzfvn21Z88excbGKjY2Vnv27FFUVJTZnp2dre7du+vy5cvavHmzli5dquXLl2vkyJEV1xkAAAAAAJSTKnn6QM+ePW3uT5gwQXPmzNG2bdvUrFkzzZgxQ2PHjlXv3r0lSQsXLlRAQICWLFmigQMHKikpSR988IE+/vhjde7cWZK0aNEi1a9fX+vWrVPXrl118OBBxcbGatu2bQoLC5MkzZs3T23atNHhw4fVpEkTxcXF6cCBAzpx4oTq1KkjSZo2bZr69eunCRMmyMfHpwJ7BQAAAOWNU5MAOJoqOVLgWtnZ2Vq6dKkuX76sNm3aKD4+XgkJCYqMjDRj3Nzc1LFjR23ZskWStGvXLmVmZtrE1KlTR6GhoWbM1q1bZbVazYKAJLVu3VpWq9UmJjQ01CwISFLXrl2Vnp6uXbt2FZhzenq6kpOTbW4AAAAAAFQ1pRop8Mcff2jRokXauXOn/vjjD91///0aPXq0JGn//v367bff1LlzZ3l6epZ42/v27VObNm105coVVa9eXStXrlSzZs3ML+wBAQE28QEBATp27JgkKSEhQa6urvL19c0Tk5CQYMb4+/vn2a+/v79NzPX78fX1laurqxmTn0mTJmn8+PElPGIAhWn48poC2466V2AiAADcTGKs+S8PDqrYPABUGruLAkuXLtVzzz2ny5cvyzAMWSwW1a1b12z/5Zdf9Je//EULFiywOU+/uJo0aaI9e/bo4sWLWr58uZ555hlt2rTJbLdYLDbxuTkU5vqY/OLtibnemDFjNGLECPN+cnKy6tevX2huAAAAAFAROE0G17KrKPDtt9/qqaeekq+vr9588021bdtWrVq1sonp0aOHrFarVqxYYVdRwNXVVY0aNZIk3XPPPdq5c6f++c9/6qWXXpJ09Vf82rVrm/Fnz541f9UPDAxURkaGEhMTbUYLnD17VuHh4WbMmTNn8uz33LlzNtvZvn27TXtiYqIyMzPzjCC4lpubm9zc3Ep8zAAAW9Me61Fg22PBL1VgJgAAADcnu+YUmDRpklxcXLRu3ToNHz5cLVu2zBPj4uKi22+/Pc+lAu1lGIbS09MVHByswMBArV271mzLyMjQpk2bzC/8LVu2lIuLi03M6dOntX//fjOmTZs2SkpK0o4dO8yY7du3KykpySZm//79On36tBkTFxcnNze3fI8ZAAAAAIAbiV0jBbZt26bWrVvrzjvvLDSufv362rdvX4m3/8orr+iBBx5Q/fr1lZKSoqVLl2rjxo2KjY2VxWJRdHS0Jk6cqJCQEIWEhGjixIny9PRU3759JUlWq1X9+/fXyJEjVbNmTfn5+WnUqFFq0aKFeTWCpk2bqlu3bhowYIDee+89SdJzzz2nHj16qEmTJpKkyMhINWvWTFFRUXrrrbd04cIFjRo1SgMGDODKAwAAAACAG55dRYG0tDTVrFmzyLjk5OQiz/PPz5kzZxQVFaXTp0/LarXqjjvuUGxsrLp06SJJGj16tNLS0jR48GAlJiYqLCxMcXFx8vb2NrfxzjvvqFq1anr00UeVlpam+++/XwsWLJCzs7MZs3jxYg0fPty8SkGvXr00a9Yss93Z2Vlr1qzR4MGD1bZtW3l4eKhv3756++23S3xMAODoDt7eNN/lTQ8drOBMADg6Tk0CgP9nV1GgQYMG2rt3b6ExWVlZ2rt3rzkvQEl88MEHhbZbLBbFxMQoJiamwBh3d3fNnDlTM2fOLDDGz89PixYtKnRfQUFB+vzzzwuNAQAAAADgRmRXUaBHjx565513NHv2bA0ZMiTfmOnTpyshIUGDBg0qVYIAAAAA7MdlfQEUxq6iwMsvv6ylS5dq+PDh2rZtmx588EFJV2f3//zzz/XZZ59pwYIFCgoK0vDhw8s0YQBA1dViYYsC2z6pwDwAAABQPHYVBWrVqqV169apT58+Wrx4sZYsWSJJ+vLLL/Xll1/KMAzdfvvtWrlypaxWa5kmDAAAAAAAyoZdRQFJuv322/Xjjz9q9erVWrdunY4ePars7GzVq1dPnTt31l/+8hebSf0AAAAAABWDCTVRXHYXBSTJyclJDz30kB566KEySgcAcEOIKWAUWHBQiTc1e9D6UiYDAAAAezlVdgIAAAAAAKByFGukwDfffFOqnXTo0KFU6wMAAAAAgLJXrKJARESELBaL3TvJzs62e10AAACgIAdvb5rv8qaHDlZwJgBwYypWUeDpp5/OUxQ4f/68Pv/8c1ksFt19990KCrp6Hunx48e1Z88eGYah7t27q2bNmmWfNQAAABwGlzsFgPJTrKLAggULbO6fPn1arVu3VpcuXTRz5kw1btzYpv3nn3/W888/rx9//FHbtm0rs2QBABWn4ctrCmw76l6BiQAAAKDc2DXR4Msvv6zs7GytWrUqT0FAkho3bqwVK1YoOztbL73E5S4AAAAAAKiK7Lok4VdffaX77rtP7u4F/1Tk4eGh9u3b66uvvrI7OQAAAMAeXO4UN5pCT5OZlJXvcubOQFmwa6RAcnKy/vjjjyLj/vjjD6WkpNizCwAAAAAAUM7sGikQGhqqTZs26dtvv1X79u3zjdm8ebM2btyou+++u1QJAgAAwEHEWPNfHhxUsXkA5YnnOaoYu0YKvPTSS8rKylLXrl3197//XevXr9eRI0f066+/av369fr73/+url27KicnhzkFAAAAAACoouwaKfDII4/oX//6l1588UW99957mjt3rk27YRhydXXV9OnT9cgjj5RJogAAAAAAoGzZVRSQpKFDh6pnz5764IMP9N133+nUqVMyDEN16tRRu3bt9Ne//lXBwcFlmSsAAAAAAChDdhcFJKlBgwZ6/fXXyyoXAAAAAABQgUpVFAAAAAAAVA4uvYmyYNdEgwAAAAAA4MbHSAEAAABUmIYvrymw7ah7BSYClCOe57iRMFIAAAAAAAAHRVEAAAAAAAAHRVEAAAAAAAAHRVEAAAAAAAAHRVEAAAAAAAAHVaqrD6SmpmrDhg365ZdflJKSIsMw8sRYLBa9+uqrpdkNAAAAAAAoB3YXBRYsWKAXXnhBycnJ5jLDMGSxWPLcpyjg2E6+/G2+y+tNbl/BmQAAAAAArmVXUWDdunXq37+/rFarXnnlFW3YsEFbt27Ve++9p19//VUrV67UL7/8oqFDh6ply5ZlnTMAAIBDoLAOAChvds0pMG3aNFksFm3YsEFvvPGGQkJCJEkDBgzQ5MmTdeDAAUVHR+vDDz+kKAAAAAAAQBVlV1Fg586dat26te688858252dnfX222/L399f48aNK1WCAAAAAACgfNhVFLh06ZKCgoLM++7u7pKklJSU/9+wk5PCwsL07bf5D3sDAAAAAACVy66iQGBgoP744w+b+5L0888/28RduHBBaWlppUgPAAAAAACUF7uKArfffrtNASA8PFyGYWjKlCnmZQm3bNmi9evXq0mTJmWTKQAAAAAAKFN2FQW6d++u48ePa9u2bZKk+++/X3fccYeWL1+uunXrqmXLlrrvvvuUk5Oj6OjosswXAAAAAACUEbuKAk8//bS+/PJL1a5d++pGnJy0Zs0adenSRWfPntUPP/wgT09Pvfnmm3rqqafKNGEAAAAAAFA2qtmzktVqVdeuXW2W1a1bV7GxsUpNTVVSUpL8/f3l7OxcJkkCAADcrKY91qPAtseCX6rATAAAjsiuokBhPD095enpWdabBQAAAAAAZazMiwJwTPzKAQAAAAA3nmIVBf72t7/JYrFo4sSJCggI0N/+9rdi78BiseiDDz6wO0EAAAAAAFA+ilUUWLBggSwWi1566SUFBARowYIFxd4BRQEAAAAAAKqmYhUFNmzYIEkKCgqyuQ8AAID/d/D2pvkub3roYAVnAgBA8RSrKNCxY8dC7wMAAKBgswetr+wUAADIFxMNIg9+5QAAoGAtFrYosO2TCswDAICyQFHAQfEPDQAAAACgWEWBW2+91e4dWCwW/frrr3avj1KKsea/PDioYvMAAOBGw2coAMABFKsocPTo0RJv2GKxyDCMEq8HAAAAAAAqhlNxgnJycvLcBg8eLB8fH40ZM0Z79+7VxYsXlZSUpL1792rMmDHy8fHR4MGDlZ2dXd7HAAAAAAAA7GDXnALvvPOO3n//fW3btk133XWXTVtoaKgmTJigPn36qHXr1rr11ls1YsSIssgVAAAAAACUoWKNFLje3Llz1alTpzwFgWvddddd6tSpk+bNm2dvbgAAAAAAoBzZVRQ4evSovL29i4zz9va2az4CAAAAAABQ/uwqCvj7+2vjxo26dOlSgTEpKSnasGGDbrnlFruTAwAAAAAA5ceuosDjjz+uc+fOKTIyUtu3b8/Tvn37dj3wwAM6f/68nnjiiVInCQAAAAAAyp5dEw2OGzdOmzdv1tatWxUeHq66desqKChIFotFx44d0++//y7DMBQWFqZx48aVdc64TsOX1xTYdtS9AhMBAOAGw2coAMDR2VUU8PT01IYNGzRt2jTNmTNHJ0+e1MmTJ832evXqaeDAgXrxxRfl6upaZskCAAAAAICyY9fpA5Lk6uqqMWPG6Pjx4zp27Ji2bt2qLVu26OjRozp+/LjGjh1rd0Fg0qRJatWqlby9veXv76+HHnpIhw8ftokxDEMxMTGqU6eOPDw8FBERoZ9++skmJj09XcOGDVOtWrXk5eWlXr162RQvJCkxMVFRUVGyWq2yWq2KiorSxYsXbWKOHz+unj17ysvLS7Vq1dLw4cOVkZFh17EBAAAAAFBV2DVS4Hr169dX/fr1y2JTkqRNmzZpyJAhatWqlbKysjR27FhFRkbqwIED8vLykiRNnTpV06dP14IFC9S4cWO9+eab6tKliw4fPmxeGSE6Olr/+9//tHTpUtWsWVMjR45Ujx49tGvXLjk7O0uS+vbtq5MnTyo2NlaS9NxzzykqKkr/+9//JEnZ2dnq3r27brnlFm3evFnnz5/XM888I8MwNHPmzDI75hvB7EHrKzsFAAAAAEAZKnVRYM+ePdq5c6f++OMPNW/eXL169ZJ09Vf69PR0+fj4lHibuV/Qc82fP1/+/v7atWuXOnToIMMwNGPGDI0dO1a9e/eWJC1cuFABAQFasmSJBg4cqKSkJH3wwQf6+OOP1blzZ0nSokWLVL9+fa1bt05du3bVwYMHFRsbq23btiksLEySNG/ePLVp00aHDx9WkyZNFBcXpwMHDujEiROqU6eOJGnatGnq16+fJkyYYNfxAQAAAABQFdh9+sDBgwfVunVrtWzZUoMGDdI//vEPffbZZ2b7hx9+KF9f3zxf8O2RlJQkSfLz85MkxcfHKyEhQZGRkWaMm5ubOnbsqC1btkiSdu3apczMTJuYOnXqKDQ01IzZunWrrFarWRCQpNatW8tqtdrEhIaGmgUBSeratavS09O1a9euUh8bAAAAAACVxa6iwLFjx9ShQwft2LFDDz74oKZOnSrDMGxiHn/8cbm4uGj58uWlStAwDI0YMULt2rVTaGioJCkhIUGSFBAQYBMbEBBgtiUkJMjV1VW+vr6Fxvj7++fZp7+/v03M9fvx9fWVq6urGXO99PR0JScn29wAAAAAAKhq7CoKjB8/XhcuXNDChQu1YsUKjRw5Mk+Mr6+vmjVrpq1bt5YqwaFDh2rv3r36z3/+k6fNYrHY3DcMI8+y610fk1+8PTHXmjRpkjlxodVqLdP5FgAAAAAAKCt2FQW++uor3X333YqKiio0rkGDBjp16pRdiUnSsGHDtHr1am3YsEH16tUzlwcGBkpSnl/qz549a/6qHxgYqIyMDCUmJhYac+bMmTz7PXfunE3M9ftJTExUZmZmnhEEucaMGaOkpCTzduLEiZIcNgAAAAAAFcKuosD58+d12223FRlnsVh05cqVEm/fMAwNHTpUK1as0Pr16xUcHGzTHhwcrMDAQK1du9ZclpGRoU2bNik8PFyS1LJlS7m4uNjEnD59Wvv37zdj2rRpo6SkJO3YscOM2b59u5KSkmxi9u/fr9OnT5sxcXFxcnNzU8uWLfPN383NTT4+PjY3AAAAAACqGruuPlCrVi3Fx8cXGXfw4EHVrVu3xNsfMmSIlixZolWrVsnb29v8pd5qtcrDw0MWi0XR0dGaOHGiQkJCFBISookTJ8rT01N9+/Y1Y/v376+RI0eqZs2a8vPz06hRo9SiRQvzagRNmzZVt27dNGDAAL333nuSrl6SsEePHmrSpIkkKTIyUs2aNVNUVJTeeustXbhwQaNGjdKAAQP4sg8AAAAAuKHZNVKgY8eO2rVrl7777rsCYz7//HMdPnxYXbp0KfH258yZo6SkJEVERKh27drmbdmyZWbM6NGjFR0drcGDB+uee+7R77//rri4OHl7e5sx77zzjh566CE9+uijatu2rTw9PfW///1Pzs7OZszixYvVokULRUZGKjIyUnfccYc+/vhjs93Z2Vlr1qyRu7u72rZtq0cffVQPPfSQ3n777RIfFwAAAAAAVYldIwXGjBmj5cuXq2fPnnrrrbfUq1cvs+3SpUv67LPP9MILL8jT0zPfSQiLcv2VDPJjsVgUExOjmJiYAmPc3d01c+ZMzZw5s8AYPz8/LVq0qNB9BQUF6fPPPy8yJwAAAAAAbiR2jRQIDQ3V4sWLlZGRoeeee06BgYGyWCz66KOPZLVa9cwzzyg1NVUff/xxseYeAAAAAAAAFc+uooAkPfLII9q/f7+GDRumpk2bysPDQy4uLrr11lv13HPP6ccff9TDDz9clrkCAAAAAIAyZNfpA7kaNmyoGTNmlFEqAAAAAACgItk9UgAAAAAAANzYKAoAAAAAAOCginX6wK233mr3DiwWi3799Ve71wcAAAAAAOWjWEWBo0ePymKxFOtSgdezWCwlXgcAAAAAAJS/Ek002LJlSz311FN68MEH5eHhUV45AQAAAACAClCsosDSpUu1ePFixcbGasSIEXrttdf0yCOP6Mknn1SnTp0YDQAAAAAAwA2oWBMNPvroo1q1apVOnz6tmTNnqnnz5lqwYIEiIyNVr149vfjii9qzZ085pwoAAAAAAMpSia4+4Ofnp8GDB2vLli367bffFBMTIx8fH02bNk0tW7ZUaGiopkyZohMnTpRXvgAAAAAAoIzYfUnChg0b6tVXX9XBgwe1fft2DRs2TOfPn9crr7yiVq1alWWOAAAAAACgHNhdFLhWgwYNdOutt6pOnToyDEM5OTllsVkAAAAAAFCOSnT1gWulpqZqxYoVWrx4sb7++mtlZ2fLarXq2Wef1dNPP12WOQIAAAAAgHJQoqJATk6OvvrqKy1atEirV69WamqqXFxc1KNHDz311FPq0aOHXF1dyytXAAAAAABQhopVFNi+fbsWL16sZcuW6dy5c7JYLGrbtq2eeuopPfroo6pRo0Y5pwkAAAAAAMpasYoCbdq0kcViUbNmzfTCCy/oySefVP369cs7NwAAAAAAUI5KdPrAr7/+qtdff12vv/56sdexWCy6fPlyiRMDAAAAAADlq9hFAcMwdOXKlfLMBQAAAAAAVKBiFQW4xCAAAAAAADcfp8pOAAAAAAAAVA6KAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOCiKAgAAAAAAOKgqWRT45ptv1LNnT9WpU0cWi0WfffaZTbthGIqJiVGdOnXk4eGhiIgI/fTTTzYx6enpGjZsmGrVqiUvLy/16tVLJ0+etIlJTExUVFSUrFarrFaroqKidPHiRZuY48ePq2fPnvLy8lKtWrU0fPhwZWRklMdhAwAAAABQoapkUeDy5cu68847NWvWrHzbp06dqunTp2vWrFnauXOnAgMD1aVLF6WkpJgx0dHRWrlypZYuXarNmzfr0qVL6tGjh7Kzs82Yvn37as+ePYqNjVVsbKz27NmjqKgosz07O1vdu3fX5cuXtXnzZi1dulTLly/XyJEjy+/gAQAAAACoINUqO4H8PPDAA3rggQfybTMMQzNmzNDYsWPVu3dvSdLChQsVEBCgJUuWaODAgUpKStIHH3ygjz/+WJ07d5YkLVq0SPXr19e6devUtWtXHTx4ULGxsdq2bZvCwsIkSfPmzVObNm10+PBhNWnSRHFxcTpw4IBOnDihOnXqSJKmTZumfv36acKECfLx8amA3gAAAAAAoHxUyZEChYmPj1dCQoIiIyPNZW5uburYsaO2bNkiSdq1a5cyMzNtYurUqaPQ0FAzZuvWrbJarWZBQJJat24tq9VqExMaGmoWBCSpa9euSk9P165duwrMMT09XcnJyTY3AAAAAACqmhuuKJCQkCBJCggIsFkeEBBgtiUkJMjV1VW+vr6Fxvj7++fZvr+/v03M9fvx9fWVq6urGZOfSZMmmfMUWK1W1a9fv4RHCQAAAABA+bvhigK5LBaLzX3DMPIsu971MfnF2xNzvTFjxigpKcm8nThxotC8AAAAAACoDDdcUSAwMFCS8vxSf/bsWfNX/cDAQGVkZCgxMbHQmDNnzuTZ/rlz52xirt9PYmKiMjMz84wguJabm5t8fHxsbgAAAAAAVDU3XFEgODhYgYGBWrt2rbksIyNDmzZtUnh4uCSpZcuWcnFxsYk5ffq09u/fb8a0adNGSUlJ2rFjhxmzfft2JSUl2cTs379fp0+fNmPi4uLk5uamli1blutxAgAAAABQ3qrk1QcuXbqkI0eOmPfj4+O1Z88e+fn5KSgoSNHR0Zo4caJCQkIUEhKiiRMnytPTU3379pUkWa1W9e/fXyNHjlTNmjXl5+enUaNGqUWLFubVCJo2bapu3bppwIABeu+99yRJzz33nHr06KEmTZpIkiIjI9WsWTNFRUXprbfe0oULFzRq1CgNGDCAX/8BAAAAADe8KlkU+P7773XfffeZ90eMGCFJeuaZZ7RgwQKNHj1aaWlpGjx4sBITExUWFqa4uDh5e3ub67zzzjuqVq2aHn30UaWlpen+++/XggUL5OzsbMYsXrxYw4cPN69S0KtXL82aNctsd3Z21po1azR48GC1bdtWHh4e6tu3r95+++3y7gIAAAAAAMpdlSwKREREyDCMAtstFotiYmIUExNTYIy7u7tmzpypmTNnFhjj5+enRYsWFZpLUFCQPv/88yJzBgAAAADgRnPDzSkAAAAAAADKBkUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEUBAAAAAAAcFEWBYvr3v/+t4OBgubu7q2XLlvr2228rOyUAAAAAAEqFokAxLFu2TNHR0Ro7dqx++OEHtW/fXg888ICOHz9e2akBAAAAAGA3igLFMH36dPXv31/PPvusmjZtqhkzZqh+/fqaM2dOZacGAAAAAIDdqlV2AlVdRkaGdu3apZdfftlmeWRkpLZs2ZLvOunp6UpPTzfvJyUlSZKSk5PLJcec9NQC25ItRr7Ls9OyC1znUnb+bWkZlwtcJz0zs8C2lPT81yuv/qgI9HnFo88rHn1e8ejzikefVzz6vOLR5xWPPq949HnB2zaM/I8/l8UoKsLBnTp1SnXr1tV3332n8PBwc/nEiRO1cOFCHT58OM86MTExGj9+fEWmCQAAAABAHidOnFC9evUKbGekQDFZLBab+4Zh5FmWa8yYMRoxYoR5PycnRxcuXFDNmjULXKcqSk5OVv369XXixAn5+PhUdjoOgT6vePR5xaPPKx59XvHo84pHn1c8+rzi0ecV70buc8MwlJKSojp16hQaR1GgCLVq1ZKzs7MSEhJslp89e1YBAQH5ruPm5iY3NzebZTVq1CivFMudj4/PDfcCuNHR5xWPPq949HnFo88rHn1e8ejzikefVzz6vOLdqH1utVqLjGGiwSK4urqqZcuWWrt2rc3ytWvX2pxOAAAAAADAjYaRAsUwYsQIRUVF6Z577lGbNm00d+5cHT9+XIMGDars1AAAAAAAsBtFgWJ47LHHdP78eb3++us6ffq0QkND9cUXX6hBgwaVnVq5cnNz07hx4/KcCoHyQ59XPPq84tHnFY8+r3j0ecWjzysefV7x6POK5wh9ztUHAAAAAABwUMwpAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAAAAAACAg6IoAACoMCdPntTvv/9e2Wnc9NLS0pSammreP3bsmGbMmKG4uLhKzArAjeZf//qXNm/eXNlpOLSdO3dq+/bteZZv375d33//fSVkhJsRlyREHgcOHNDx48eVkZFhs7xXr16VlBGAG1lOTo7efPNNTZs2TZcuXZIkeXt7a+TIkRo7dqycnKhPl7UHH3xQvXv31qBBg3Tx4kWFhYXJxcVFf/zxh6ZPn66///3vlZ3iTSc2NlbVq1dXu3btJEmzZ8/WvHnz1KxZM82ePVu+vr6VnOHN529/+1uh7R9++GEFZXLzat26tR599FG98847evjhh/Wvf/2r0Pjhw4dXUGaOY8iQIRo9erTCwsJslv/++++aMmVKvgUDlNzq1av1wAMPyMXFRatXry409mb8TsQlCWH67bff9PDDD2vfvn2yWCzKfWpYLBZJUnZ2dmWmd9O7ePGiPv30U/3666968cUX5efnp927dysgIEB169at7PRuKtnZ2XrnnXf0ySef5FsAu3DhQiVldnOYP3++WrVqpdDQUEnSmDFj9MEHH2j8+PFq27atDMPQd999p5iYGA0YMEATJkyo5IxvPrVq1dKmTZvUvHlzvf/++5o5c6Z++OEHLV++XK+99poOHjxY2SnedFq0aKEpU6boz3/+s/bt26dWrVppxIgRWr9+vZo2bar58+dXdoo3nYcfftjmfmZmpvbv36+LFy+qU6dOWrFiRSVldnM5efKkHn/8cW3evFkNGzY0/y+8nsVi0W+//VbB2d38qlevrr179+rWW2+1WR4fH6877rhDKSkplZTZzcXJyUkJCQny9/cv9McKi8VyU34nYqQATM8//7yCg4O1bt063XrrrdqxY4fOnz+vkSNH6u23367s9G5qe/fuVefOnWW1WnX06FENGDBAfn5+WrlypY4dO6aPPvqoslO8qYwfP17vv/++RowYoVdffVVjx47V0aNH9dlnn+m1116r7PRueEFBQXrggQe0cOFCderUSQsXLtT7779vU1m/8847VbduXQ0ePJiiQDlITU2Vt7e3JCkuLk69e/eWk5OTWrdurWPHjlVydjen+Ph4NWvWTJK0fPly9ejRQxMnTtTu3bv15z//uZKzuzmtXLkyz7KcnBwNHjw4zxco2K9evXrasGGDJOno0aOVm4wDcnNz05kzZ/I8p0+fPq1q1fgqV1ZycnLy/dtRMGYTpq1bt+r111/XLbfcIicnJzk5Oaldu3aaNGkSw8HK2YgRI9SvXz/98ssvcnd3N5c/8MAD+uabbyoxs5vT4sWLNW/ePI0aNUrVqlXTE088offff1+vvfaatm3bVtnp3fDuv/9+rV+/Xq+88oqkqyMvbr/99jxxt99+O6MyykmjRo302Wef6cSJE/rqq68UGRkpSTp79qx8fHwqObubk6urqzmPw7p168w+9/PzU3JycmWm5lCcnJz0wgsv6J133qnsVG4qLi4ukqTXX3/dZr6SXGlpaXr99dcrOi2H0KVLF40ZM0ZJSUnmsosXL+qVV15Rly5dKjEzx3Lx4sXKTqFcURSAKTs7W9WrV5d0dejpqVOnJEkNGjTQ4cOHKzO1m97OnTs1cODAPMvr1q2rhISESsjo5paQkKAWLVpIujosL/eDtkePHlqzZk1lpnbTCAkJ0aZNmyRdHRUwa9asPDGzZs3SnXfeWdGpOYTXXntNo0aNUsOGDRUWFqY2bdpIujpq4O67767k7G5O7dq104gRI/TGG29ox44d6t69uyTp559/Vr169So5O8fy66+/Kisrq7LTuCmNHz/enBvmWqmpqRo/fnwlZHTzmzZtmk6cOKEGDRrovvvu03333afg4GAlJCRo2rRplZ3eTWnKlClatmyZeb9Pnz7y8/NT3bp19eOPP1ZiZuWHMScwhYaGmucshYWFaerUqXJ1ddXcuXMZhlfO3N3d8/0l6fDhw7rlllsqIaObW7169XT69GkFBQWpUaNGiouL05/+9Cft3LlTbm5ulZ3eTSO3L6dOnaru3btr3bp1atOmjSwWi7Zs2aITJ07oiy++qOQsb05/+ctf1K5dO50+fdqm8HL//ferd+/e/9fevcf1fP//47+9Xh0olXLowNJBRTmk5Dyn1qwwS9sQQwfbMKQ5bj5Uw5ymCBmjKQwJm8xplJLeZooSUtLBtjIrp1V0en3/8PP6eS3s9Hq9nnq+btfLxeXi+Xi8cFuX9ur1vD8fj/tDwGTitX79ekydOhXx8fHYuHGjvBfMkSNH4OnpKXA6cfr4448VrmUyGUpKSvD9999j4sSJAqUSN5lM9syeApmZmWjRooUAicSvbdu2yMrKws6dO5GZmQk9PT34+/vD19dXvoKDlGvTpk3YsWMHAOCHH37AiRMncPToUcTFxWHOnDmiPMmHjQZJ7tixY6ioqICPjw9u3LiB4cOHIycnBy1btsSePXvg7u4udETR+uCDD3D79m3ExcWhRYsWyMrKgpaWFry9vTFgwACsWbNG6IiiMn/+fBgZGeHTTz9FfHw8fH19YW1tjeLiYgQHB2P58uVCRxSdX3/9FRs2bEBOTg5kMhmcnJwwdepUtGnTRuhoohQQEIC1a9fK+wo8UVFRgenTp7MrO4nC4MGDFa6lUilat24Nd3d3BAQEcL+1EpmYmEAikeDevXswMjJSKAzU1dXhjz/+wOTJk7FhwwYBU4rHk0aZxsbGQkfRSHp6esjNzYWlpSWCgoLw8OFDbNq0Cbm5uejVqxfu3LkjdESlY1GAXqi8vFz+g4BU5/79+xg6dCguX76MBw8eoE2bNigtLUWfPn1w+PBhNGvWTOiIonb27FmkpaXBzs5OlMfMkObR0tJCSUkJTE1NFcZ///13mJubc2m1kty/f1/eo+Gv+gawlwM1ZjExMZDJZAgICMCaNWvQvHlz+Zyuri6sra3l25TovwsODsaSJUvQrFkzHgMpgDZt2iA+Ph59+/ZFhw4dsGTJErz77ru4du0aevToIco+MSwKEL1EEhMTkZGRgfr6eri6usLDw0PoSET/SlZW1t9+bdeuXVWYRLPcv38fMpkMJiYmyMvLU9h+VFdXh4SEBMyfP1/eM4b+m6eLL1Kp9JkF9CfLrcV4hNXLoLa2FqdOnUJ+fj7Gjh0LQ0ND/PrrrzAyMpL3SSLlqK2txY4dO+Dh4cE+GSr2dMHRxsbmua/jMZCqMW3aNBw6dAj29va4cOECCgsLYWBggD179mDFihXIyMgQOqLSsSig4f7J3lKe90uN2cGDB+Hl5QUdHR0cPHjwha/laoH/7skN0p/3nz75kfPnpaekHM+7MX1CIpEgLCwMCxYsUGMq8UpOTka/fv2gra0tb6z5PAMHDlRTKs1RVFQET09PFBcX49GjR8jNzYWtrS1mzpyJhw8f4ssvvxQ6oujo6+vj6tWrsLKyEjqKqD1vtRepR01NDdauXYubN2/Cz89P3qB3zZo1MDAwwKRJkwROqHzcbKXhnl7+Rer1V8vBnsalYf+dt7c3SktLYWpqCm9v7+e+jk/0lKOgoED++wsXLmD27NmYM2eOfHnp//73P6xevRorV64UKqIoJSUlQSaTwd3dHfv27VNo/KWrqwsrKyv2cVCiJzf6T55WBwQEwNLSUuBUmiMoKAhubm7IzMxEy5Yt5eMjR44U5Yf2l0GvXr1w4cIFFgVULDExkY0bBaSjo4PZs2c3GJ85c6b6w6gJVwoQCeRFy8GexqVh1Nj17NkToaGhGDp0qML44cOHsXDhQqSnpwuUTJxqa2sxadIkLF68mDeoamRoaIhLly7B2tpa6Cgao1WrVjhz5gw6dOgAQ0NDZGZmwtbWFoWFhXByckJlZaXQEUVn7969mD9/PoKDg9G9e/cGPY+4HUz5AgICXjjPxrGqc+XKFRQXF6O6ulphXIwrSrlSgEggTz9JJRKzS5cuPbMIZmNjgytXrgiQSNy0tbWxb98+hIaGCh1Fo7z22ms4deoU/Pz8hI6iMerr65+5suvnn39ucPIGKcfo0aMBKK5gfHqrGFfaKd+fO93X1NQgOzsbd+/e5clgKnLjxg2MHDkSly5dkn9/A///1kcxfp+zKKDhXFxc/vbJAmJsqvEyetaea1KuGTNmwM7OrsG2jPXr1+P69es8AlLJHB0dsWTJEmzduhVNmzYFADx69AhLliyBo6OjwOnEiTeo6ufl5YVPPvkE2dnZz3yCKsYnS0J7/fXXsWbNGmzevBnA45+bf/zxB0JCQhqsTCLl4AMN9Ttw4ECDsfr6ekydOhW2trYCJBK/oKAg2NjY4MSJE7C1tcW5c+dQVlaGWbNm4YsvvhA6nkpw+4CGCwsL+9uvDQkJUWES2rp1KyIiIpCXlwcAsLe3x8yZM7kvUgXatm2LgwcPonv37grjGRkZGDFiBH7++WeBkonTuXPn8Oabb6K+vh7Ozs4AgMzMTEgkEhw6dAg9e/YUOKH4bNq0CaGhoRg3bhxvUNVEKpU+d45PUFXjl19+gbu7O7S0tJCXlwc3Nzfk5eWhVatWSElJYZM2ErVr165h0KBBKCkpETqK6LRq1QqJiYno2rUrmjdvjnPnzqFDhw5ITEzErFmzcOHCBaEjKh2LAkQvgYULFyIiIgLTp09XaMS2fv16BAUFYcmSJQInFJemTZsiOzsbdnZ2CuPXr19H586d8fDhQ4GSiVdlZSV27NiBnJwcyGQyODk5YezYsQ1uVkk5eINKmqKqqgq7d+9Genq6/DjfcePGQU9PT+hooqZJe61fVocPH8bEiRNx+/ZtoaOIjomJCdLT02Fra4v27dtjy5YtGDx4MPLz89GlSxdR9ivh9gFScPfuXcTHxyM/Px9z5sxBixYtkJGRATMzM7Rt21boeKK1ceNGfPXVV/D19ZWPjRgxAl27dsX06dNZFFAyOzs7HD16FNOmTVMYP3LkCJfiKVlNTQ06dOiAQ4cO4YMPPhA6jsaor68XOoJGqa2tRdOmTXHx4kV07txZ6Dga4en3Fn9/f/j7+wsdSSNo4l5roX388ccK1zKZDCUlJfj+++8xceJEgVKJW+fOnZGVlQVbW1v06tULK1euhK6uLjZv3izaz4ksCpBcVlYWPDw80Lx5cxQWFuL9999HixYtcODAARQVFSE2NlboiKJVV1cHNze3BuPdu3dHbW2tAInE7eOPP8a0adNw+/ZteZOekydPYvXq1ewnoGQ6Ojp49OgRe2SQqGlra8PKyoo3RGrE9xZhaOJea6H9eam6VCpF69atsXr16r88mYD+nf/7v/9DRUUFAGDJkiUYPnw4+vfvj5YtW2LPnj0Cp1MNbh8gOQ8PD7i6umLlypUKR/ukpaVh7NixKCwsFDqiaE2fPh06OjoIDw9XGJ89ezaqqqqwYcMGgZKJ18aNG7F06VL8+uuvAABra2uEhoZiwoQJAicTn+XLlyMnJwdbtmyBtjZr0eqSnJyML774AlevXoVEIoGjoyPmzJmD/v37Cx1NlL7++mvs3bsXO3bs4PniasL3FvXTxL3WRABQXl4OExMT0RYiWRQguebNmyMjIwPt27dXKAoUFRWhQ4cO3GetQtOnT0dsbCwsLS3Ru3dvAMDZs2dx8+ZNTJgwATo6OvLX/rlwQP/N7du3oaenBwMDA6GjiNbIkSNx8uRJGBgYoEuXLg36COzfv1+gZOK1Y8cO+Pv7w8fHB/369YNMJkNaWhoOHDiAbdu2YezYsUJHFB0XFxdcv34dNTU1sLKyavB9zhN8lI/vLeqniXutSfPExMTgnXfe0ai+RyyrklzTpk1x//79BuPXrl1D69atBUikObKzs+Hq6goAyM/PBwC0bt0arVu3RnZ2tvx1Yq1OConf26pnbGyMt99+W+gYGmXp0qVYuXIlgoOD5WNBQUEIDw/H4sWLWRRQAW9vb6EjaBy+t6ifJu61FoKrqytOnjwJExOTvzw+3MDAAJ06dcKnn34KS0tLNaYUr9mzZ2Pq1Kl488038d5778HT01P0q5G4UoDkPvjgA9y+fRtxcXFo0aIFsrKyoKWlBW9vbwwYMIB7rUlU4uPjERcX98zuyXyiR41dkyZNcPnyZZ6wQURKdezYMVRUVMDHxwc3btzA8OHDkZOTI99r/aRPD/03YWFhmDNnDvT19REaGvrCosCjR49w8uRJNG3aFMnJyWpMKV61tbU4evQodu3ahe+++w56enp499138d5776Fv375Cx1MJFgVI7v79+xg6dCguX76MBw8eoE2bNigtLUWfPn1w+PBhjVpCQ+IWGRmJBQsWYOLEifjqq6/g7++P/Px8/PTTT/joo4+wdOlSoSMS/Sd2dnaYM2cOPvzwQ4XxTZs24YsvvkBeXp5AyYhIbMS+17oxyM/PR6dOnVjwVYHKykocOHAA33zzDU6cOIFXXnlFvqpXTMS9DoL+lpkzZ2LSpEno3LkzUlNTkZiYiIyMDPl5vx4eHkJHFL2HDx9i3bp1SEpKwm+//dbgODE+uVaO3NxcODg4ICoqCps3b4avry9iYmIwd+5c2NraYtGiRSgvLxc6pihxZYZ6zZo1CzNmzMDFixfRt29fSCQSpKamYtu2bVi7dq3Q8USprq4OERERz/0+53uLcvzVUuqn8b1FPdhYU7Xc3d2xf/9+GBsbK4zfv38f3t7eSExMRPv27XHr1i1hAoqcvr4+3njjDdy5cwdFRUW4evWq0JFUgkUBwtGjR7Fu3Tp0794dkyZNwpgxY7j8S80CAgLwww8/4J133kHPnj1ZbVeBHTt24IsvvsDFixdRXFwsX/6lp6eHBw8eAADGjx+P3r17Y/369UJGFZ2nV2Z89913DVZmkPJNmTIF5ubmWL16NeLi4gAAjo6O2LNnD9566y2B04lTWFgYtmzZgo8//hgLFy7EggULUFhYiG+//RaLFi0SOp5oPN274eHDh4iKioKTkxP69OkD4HGT3suXL2Pq1KkCJRSnv3v0XXR0tIqTaJ5Tp041KDICj7//T58+Lb9u3ry5OmOJ3pMVAjt37sSJEydgaWkJX19f7N27V+hoKsHtAwQAOHPmDKKjo7F3717U19fj7bffRmBgIAYMGCB0NI3QvHlzHD58GP369RM6iiht3rwZW7duxffff49WrVrB1tYW8fHxcHV1RY8ePTBp0iR8+OGHOH78OMaMGcMnekrWsWNHhISEwNfXV+FkkycrM1iEITFo3749IiMjMWzYMBgaGuLixYvysbNnz+Kbb74ROqLoTJo0CRYWFli8eLHCeEhICG7evMkbVCWSSqWwsrKCi4sLXnTrcODAATWmEresrCwAQLdu3ZCYmKiwIqOurg5Hjx7Fpk2beGS4Cvj6+iIhIQH6+vp49913MW7cONH2EpCTET2loqJCFh0dLevfv79MIpHI7OzsZMuWLZP98ssvQkcTNUdHR1lmZqbQMUQrJSVFVllZKb8ODAyUhYaGymQymWzjxo0yPT09mYeHh8zY2FgWEBAgVEzR0tPTkxUWFspkMpmsdevWsosXL8pkMpksNzdX1qJFCyGjiU55ebksMjJSdu/evQZzd+/efe4c/Xf6+vqyoqIimUwmk5mbm8vS09NlMplMlp+fLzMyMhIymmgZGRnJcnNzG4zn5ubya65kU6ZMkZmYmMicnZ1la9eulZWVlQkdSfQkEolMKpXKpFKpTCKRNPilr68v27p1q9AxRcnX11d26NAhWU1NjdBR1EYqdFGCXi76+vrw9/dHSkoK8vLyMGrUKKxcuRLW1tZCRxO11atXY968eSgqKhI6iij1798fenp68uvNmzdjwYIFAIDJkydj27ZtcHR0RFhYGDZu3ChUTNEyNzdHWVkZAMDKygpnz54FABQUFLzwiRP9c+vXr0dKSgqMjIwazDVv3hynT5/GunXrBEgmfq+88gpKSkoAPG70ePz4cQDATz/9hCZNmggZTbT09PSQmpraYDw1NRVNmzYVIJF4RUVFoaSkBPPmzUNCQgIsLS0xatQoHDt2jO/jKlJQUID8/HzIZDKcO3cOBQUF8l+//PIL7t+//7e3ddDfV1NTg5KSEtjb24v+GMKnac5/Kf0jFRUVSE5ORnJyMu7evYsOHToIHUnU3Nzc8PDhQ9ja2kJfXx86OjoK81zOrjy1tbVYunQpAgIC5Of5jho1CqNGjRI4mXi5u7sjISEBrq6uCAwMRHBwMOLj43H+/Hn4+PgIHU9U9u3bh9WrVz93/sMPP8Ts2bPlRTFSnpEjR+LkyZPo1asXgoKC4Ovri61bt6K4uBjBwcFCxxOlmTNnYsqUKUhPT0fv3r0BPO4pEB0dzT4OKtCkSRP4+vrC19cXRUVF2LZtG6ZOnYqamhpcuXIFBgYGQkcUFSsrKwBo0HyaVEtHRwfZ2dka19+LPQVIQUpKCr7++mvEx8cDAN59910EBgZyr7uKeXh4oLi4GIGBgTAzM2vwRjRx4kSBkomTgYEBsrOzuQJGTerr61FfXy+vuMfFxSE1NRV2dnaYPHkydHV1BU4oHoaGhrh8+TLatWv3zPni4mJ07twZ9+/fV3MyzXP27FmkpaXBzs4OI0aMEDqOaMXFxWHt2rXyjuCOjo4ICgpioVfFiouLsW3bNmzbtg3V1dXIyclhUUCFcnNzcerUqWeeUMUCmPLNmjULOjo6WL58udBR1IZFAcLPP/+MmJgYbNu2Dfn5+ejVqxcCAwMxZswYvsGrib6+Pv73v//B2dlZ6CgawdvbG97e3vDz8xM6CpFSGRsb4+jRo/Knpn929uxZeHp64u7du+oNRkSN3qNHj7B//35ER0cjNTUVw4cPh7+/Pzw9PSGVckeyqnz11VeYMmUKWrVqBXNzc4UHRxKJhEdvqsD06dMRGxsLOzs7uLm5oVmzZgrz4eHhAiVTHW4fIFhbW6Nly5YYP348AgMD4ejoKHQkjdOxY0dUVVUJHUNjeHl54ZNPPkF2dja6d+/e4M2eT/WU7+7duzh37twzn3JMmDBBoFTi4+Ligm+//fa5RYEDBw7AxcVFzak0Q1lZGVq2bAkAuHnzJr766itUVVVhxIgR6N+/v8DpxK26uvqZ7y3PWzFD/9zUqVOxe/dutGvXDv7+/ti9e7f8+51Ua8mSJVi6dCnmzZsndBSNkZ2dDVdXVwCPV2k8TazbCrhSgLB//36MGDFCo5ppvGyOHz+OsLAwLF26FF26dGnQU+BZTcPo33vREw2JRIK6ujo1phG/hIQEjBs3DhUVFTA0NGzwlIM9M5Rn3759GDNmDCIiIjBlyhRoaWkBeHx8VVRUFGbNmoVvvvkG77zzjsBJxePSpUt48803cfPmTdjb22P37t3w9PRERUUFpFIpKioqEB8fD29vb6Gjik5eXh4CAgKQlpamMC6TyfhermRSqRTt2rWDi4vLC2+K9u/fr8ZUmsHIyAgXL16Era2t0FFIxFgUIHoJPLlJ/fMPWn6wITFwcHDA0KFD8fnnn0NfX1/oOKK3YMECLFu2DIaGhrC1tYVEIkF+fj7++OMPzJkzR6P2SKqDl5cXtLW1MW/ePOzYsQOHDh3CkCFDsGXLFgCPl6Gmp6fLT90g5enXrx+0tbUxf/58WFhYNPgZyi15yuPn5/e3npB+/fXXakijWQIDA9GjRw9MnjxZ6Cga5/r168jPz8eAAQOgp6cn/1wuRiwKEL0EkpOTXzg/cOBANSURt6qqKpw8eRLDhw8HAHzyySd49OiRfF5bWxufffYZj7JSsmbNmuHSpUt8yqFG586dw86dO3H9+nXIZDI4ODhg7Nix6Nmzp9DRRKdVq1ZITExE165d8ccff8DIyAjnzp2Dm5sbACAnJwe9e/dmHwcVaNasGdLT09GxY0ehoxCpzLJlyxAeHo5hw4Y9czXpjBkzBEomXmVlZRg1ahSSkpIgkUiQl5cHW1tbBAYGwtjY+IWn/DRWLAoQkcbYtGkTDh06hISEBACPO7V36tQJenp6AB5/eJ8zZw4+/vhjIWOKjo+PD8aMGcNu4CRKUqkUpaWlMDU1BfD4fSUzM1NeBLt16xbatGnDFV8q0KNHD0RERODVV18VOgqRytjY2Dx3TiKR4MaNG2pMoxkmTJiA3377DVu2bIGjo6P8Pf348eMIDg7G5cuXhY6odNxETvQSqaysRHFxMaqrqxXGu3btKlAicdm5c2eD88K/+eYb+Yf3HTt2YMOGDSwKKNmwYcMwZ84cXLly5ZlPOdjYkRq7Py8nFevy0pfNihUrMHfuXHz++efsx0OiVVBQIHQEjXP8+HEcO3YMr7zyisK4vb09ioqKBEqlWiwKkFxAQADWrl0LQ0NDhfGKigpMnz4d0dHRAiUTv9u3b8Pf3x9Hjhx55jyfMClHbm4uHBwc5NdNmzZVaDrYs2dPfPTRR0JEE7X3338fAPDZZ581mGPPDBIDPz8/NGnSBADw8OFDTJ48WX6qydNblEi5PDw8AACvvfaawjj78ZBYPVngzcKjalVUVDyzB9Lvv/8uf68XG24fIDktLS2UlJTIl0A+8fvvv8Pc3By1tbUCJRO/cePGobCwEGvWrMHgwYNx4MAB3Lp1C0uWLMHq1asxbNgwoSOKgp6eHi5evIgOHTo8cz4nJwfdunXDw4cP1ZyMiBorf3//v/U6NmBTPvbjIU0RGxuLVatWIS8vD8DjBr5z5szB+PHjBU4mTsOGDYOrqysWL14MQ0NDZGVlwcrKCmPGjEF9fT3i4+OFjqh0XClAuH//PmQyGWQyGR48eKDQZK2urg6HDx9uUCgg5UpMTMR3332HHj16QCqVwsrKCq+//jqMjIywbNkyFgWU5JVXXkF2dvZziwJZWVkNlooREb0Ib/aF86Kb/osXL6oviAZJSUlB3759GxxjXVtbi7S0NAwYMECgZOIVHh6OhQsXYtq0aejXrx9kMhnOnDmDyZMn4/fff2+wLZL+u1WrVmHQoEE4f/48qqurMXfuXFy+fBnl5eU4c+aM0PFUgisFCFKp9IXLkCQSCcLCwrBgwQI1ptIsRkZGyMrKgrW1NaytrbFz507069cPBQUF6NSpEyorK4WOKApBQUE4ceIE0tPTG5wwUFVVBTc3N3h4eGDt2rUCJRSPyMhIfPDBB2jatCkiIyNf+Fp2Tla+qqoqyGQy+fLHoqIiHDhwAE5OThgyZIjA6YhU4969e9i5cye2bNmCzMxMbh9QgeetKi0rK4OpqSm/5ipgY2ODsLAwTJgwQWE8JiYGoaGh7DmgIqWlpdi4cSPS09NRX18PV1dXfPTRR7CwsBA6mkqwKEBITk6GTCaDu7s79u3bhxYtWsjndHV1YWVlhTZt2giYUPx69OiBJUuW4I033oC3t7d8hUBkZCTi4+ORn58vdERRuHXrFrp16wZdXV1MmzYNDg4OkEgkyMnJwfr161FbW4sLFy7AzMxM6KiNno2NDc6fP4+WLVuyc7IAhgwZAh8fH0yePBl3795Fx44doaOjg99//x3h4eGYMmWK0BGJlCYxMRHR0dHYv38/rKys8Pbbb+Ptt9+Gi4uL0NFERyqV4tatW2jdurXCeG5uLtzc3HD//n2BkolX06ZNkZ2dDTs7O4XxvLw8dOnShVseSSm4fYDky+8KCgpgaWmp0HiN1GPmzJkoKSkBAISEhOCNN97Azp07oauri23btgkbTkTMzMyQlpaGKVOmYP78+QoNe15//XVERUWxIKAkTz+54FMM9cvIyEBERAQAID4+HmZmZrhw4QL27duHRYsWsShAjd7PP/+Mbdu2ITo6GhUVFRg1ahRqamqwb98+ODk5CR1PdHx8fAA8/nn5dGNN4PFW06ysLPTt21eoeKJmZ2eHuLg4fPrppwrje/bsgb29vUCpxOv+/fvyk0sOHz6s0FNNS0tLtFt6WRQgOSsrKwA8Fk8I48aNk//excUFhYWFyMnJQbt27dCqVSsBk4mPjY0Njh49ivLycly/fh3A4x+4T6+QIWrsKisr5SfJHD9+HD4+PpBKpejdu7doj1MizTF06FCkpqZi+PDhWLduHTw9PaGlpYUvv/xS6Gii1bx5cwCPu98bGhpCT09PPqerq4vevXvLT5oh5QoLC8Po0aORkpKCfv36QSKRIDU1FSdPnkRcXJzQ8UTl0KFDWLhwIS5cuAAAGD16NCoqKuTzEokEe/bswTvvvCNURJXh9gGS47F4wqmqqlL4Afu0kpIS0e5fIs0QEBDwwnked6p8Xbt2xaRJkzBy5Eh07twZR48eRZ8+fZCeno5hw4ahtLRU6IhE/5q2tjZmzJiBKVOmKDwp1dHRQWZmJlcKqFBYWBhmz54tP3KT1CM9PR0RERG4evUqZDIZnJycMGvWLG6RUbIRI0bgrbfeQmBgIADA0NAQmZmZsLW1BQCsXLkSp06dwuHDh4WMqRJcKUByM2fOxJ07d3D27NlnHotHquPi4oJvvvkGrq6uCuPx8fGYMmUKbt++LVAyov/uzp07Ctc1NTXIzs7G3bt34e7uLlAqcVu0aBHGjh2L4OBguLu7o0+fPgAerxrgh0jViI2NfeH8n5uE0b93+vRpREdHw83NDR07dsT48eMxevRooWNphJCQEKEjaKTu3btjx44dQscQvaysLCxatOi5815eXvjiiy/UmEh9uFKA5CwsLPDdd9+hZ8+eMDIywvnz5+Hg4ICDBw9i5cqVSE1NFTqiaE2fPh1fffUVQkNDMW/ePFRUVGDatGnYu3cvli9fjunTpwsdkUip6uvrMXXqVNja2mLu3LlCxxGl0tJSlJSUwNnZWd4r5ty5czAyMkLHjh0FTic+JiYmCtc1NTWorKyErq4u9PX1UV5eLlAy8aqsrMTu3bsRHR2Nc+fOoa6uDuHh4QgICJBvnyHlunXrFmbPno2TJ0/it99+w59vI7iqlBqzpk2b4urVq/IGyefPn4ezszN0dHQAPO6R1LFjRzx69EjImCrBogDJ8Vg8YR09ehT+/v6ws7PDr7/+CiMjI+zcuZPLIEm0rl27hkGDBsmbbJLyXb9+Hfn5+RgwYAD09PQgk8leeAQtKVdeXh6mTJmCOXPm4I033hA6jqhdu3YNW7duxfbt23H37l28/vrrOHjwoNCxRMfLywvFxcWYNm0aLCwsGryfvPXWWwIlEx8tLa2/9ToWYpSnTZs2iI2NhYeHxzPnjx8/jokTJ4rycwu3D5Bchw4dcO3aNVhbW6Nbt27YtGkTrK2t8eWXX3JPuxo8OUJs48aN0NbWRkJCAgsCJGr5+fkKXX1JecrKyjBq1CgkJSVBIpEgLy8Ptra2mDRpEoyNjbklTE3s7e2xfPlyvPfee8jJyRE6jqh16NABK1euxLJly5CQkMBeJSqSmpqK06dPo1u3bkJHET2ZTAYrKytMnDiR277UZMCAAYiMjHxuUSAyMhIDBgxQcyr1YFGA5HgsnnDy8/MxduxYlJaW4tixY0hOTsZbb72FGTNmYOnSpfJlS0SN0ccff6xwLZPJUFJSgu+//x4TJ04UKJW4BQcHQ0dHB8XFxXB0dJSPjx49GsHBwSwKqJGWlhZ+/fVXoWNoDC0tLXh7e8Pb21voKKJkaWnZYMsAqcaPP/6I6OhorF27FjY2NggICMC4ceMabFUi5Zk3bx769OmDd999F3PnzoWDgwOAxyuRVqxYgRMnTiAtLU3glKrB7QP0XJWVlTwWT00MDQ0xbNgwfPnllzA2NgYApKWlYcKECTA0NJQfjULUGA0ePFjhWiqVonXr1nB3d0dAQAC0tVmfVjZzc3McO3YMzs7OCt2TCwoK0KVLF/zxxx9CRxSdPy9Vf1L8Wr9+PSwtLZ97sg9RY3L8+HGsXr1avpqUVO/hw4eIj4/H119/jbNnz+LNN99EYGAgXn/9daGjidJ3332HSZMmNegDY2Jigi1btoi24MiiAMl99tlnmD17NvT19RXGq6qqsGrVqhd246T/Zvv27Rg/fnyD8QcPHmDmzJnYunWrAKmIqLEyNDRERkYG7O3tFYoCP/30Ezw9PVFWViZ0RNF50szxCYlEIi9+rV69mtvwSBRMTExQWVmJ2tpa6OvrN1jJyIaaqlVQUIDAwEAkJyfj9u3baNGihdCRRKmyshLHjh1DXl4egMdbwYYMGSLqozhZFCA5LS0tlJSUwNTUVGG8rKwMpqambGRCRNRIDBs2DK6urli8eDEMDQ2RlZUFKysrjBkzBvX19YiPjxc6IhE1QjExMS+c55Yw1fj555+xbds2bNu2DVVVVRg/fjyWLFnClXakNPxOIrnndaXOzMxkJVIFDh48CC8vL+jo6LywQ7JEIsGbb76pxmREypGfn4+lS5fKG361a9dOYdm6lpYWUlNT0aFDB6EiitaqVaswaNAgnD9/HtXV1Zg7dy4uX76M8vJynDlzRuh4ovfkeQtPelCtlJQU9O3bt8GNUW1tLdLS0kTbEExIvOlXn+rqahw4cABbt27F6dOn4eXlhTVr1mDo0KENViYR/VdcKUAwMTGBRCLBvXv3YGRkpPAhpq6uDn/88QcmT56MDRs2CJhSfKRSKUpLS2FqavrCN3eJRMJVGtQozZw5E/r6+vj8888BPF7SvmjRIvlqpD179qBdu3b48ssvhYwpWqWlpdi4cSPS09NRX18PV1dXfPTRR1zGrkKxsbFYtWqVfMmpg4MD5syZ88ztYfTfcYWjsKqqqlBTU6MwZmRkJFAa8WnZsiUMDQ0xceJEjB8/vsH3+RP8mpMysChAiImJgUwmQ0BAANasWYPmzZvL53R1dWFtbY0+ffoImJCIGqPOnTtj3bp18kaDT+9tB4Dk5GRMmjRJfgNFqnfz5k2EhITwuDYVCA8Px8KFCzFt2jT069cPMpkMZ86cwYYNG7BkyRIEBwcLHVF0pFIpbt26hdatWyuM5+bmws3NDffv3xcomXhVVFRg3rx5iIuLe2ZvEhZilOfpB0bPWnX0ZIUvv+akDNw+QPKlYDY2Nujbty+Pv1OjoUOHYteuXfJCzNKlS/HRRx/JTyAoKytD//79ceXKFQFTEv07RUVFsLGxkV9PmjRJoehobW2Nn3/+WYhoGqu8vBwxMTEsCqjAunXrsHHjRkyYMEE+9tZbb6FTp04IDQ1lUUCJfHx8ADy+UfLz80OTJk3kc3V1dcjKykLfvn2Fiidqc+fORVJSEqKiojBhwgRs2LABv/zyCzZt2oTly5cLHU9UkpKShI5AGoRFAZKzsbFBSUnJc+fbtWunxjSa4dixY3j06JH8esWKFfD19ZUXBWpra3Ht2jWB0hH9N1KpFL/99pv82KqIiAiF+Vu3brEISaJRUlLyzBvRvn37vvBnK/1zT4qLMpkMhoaG0NPTk8/p6uqid+/eeP/994WKJ2oJCQmIjY3FoEGDEBAQgP79+8POzg5WVlbYuXMnxo0bJ3RE0Rg4cKDQETSWJm5NYlGA5KytrV/YFEmM/wMI7c+7d7ibh8SkU6dOOHHiBHr27PnM+WPHjqFz585qTkWkGnZ2doiLi8Onn36qML5nzx7Y29sLlEqcvv76awCPP7fMnj1b1MeEvWzKy8vlK8CMjIzkRxC++uqrmDJlipDRiJTmeZ/HHz16BF1dXTWnUQ8WBUjuwoULCtc1NTW4cOECwsPDsXTpUoFSEVFj5e/vj5kzZ8LZ2RnDhg1TmEtISMDy5cuxZs0aYcIRKVlYWBhGjx6NlJQU9OvXDxKJBKmpqTh58iTi4uKEjidKISEhQkfQOLa2tigsLISVlRWcnJwQFxeHnj17IiEhQb7KkaixioyMBPB4a9KWLVtgYGAgn6urq0NKSgo6duwoVDyVYqNB+kvff/89Vq1ahVOnTgkdRXS0tLRQWloqb5L05DzxJ1X4W7duoU2bNlylQY2Wr68v9uzZg44dO6JDhw6QSCTIycnBtWvX8Pbbb/NmScme7LV+nrt37yI5OZnvKSqSnp6OiIgIXL16FTKZDE5OTpg1axZcXFyEjiZKt27dwuzZs3Hy5En89ttvDZ7u8ftc+SIiIqClpYUZM2YgKSkJw4YNQ11dHWpraxEeHo6goCChIxL9a08+fxcVFeGVV16BlpaWfO5J8/XPPvsMvXr1EiqiyrAoQH8pLy8P3bp1Q0VFhdBRREcqlcLLy0veJCkhIQHu7u7ypZCPHj3C0aNH+cGGGrXdu3dj9+7dyM3NBQDY29vD19cXY8aMETiZ+Pj7+/+t1z1Zfk3UmHl5eaG4uBjTpk2DhYVFgy2Qb731lkDJNEdRURHS09PRvn17ODs7Cx2HSCkGDx6M/fv3w8TEROgoasOiAMn9+egemUyGkpIShIaGIicnBxcvXhQmmIjxAzwREdG/Y2hoiNOnT6Nbt25CRyFSi127dmHEiBHso0FKx54CJGdsbNygyi6TyWBpaYndu3cLlErceLNPRNS4SaXSFzbpBR7vT62trVVTIs1haWnJBr1q8uOPP6K8vBxeXl7ysdjYWISEhKCiogLe3t5Yt26dwvGQpHwffvghevXqBVtbW6GjiFpdXR22bdsm35pUX1+vMJ+YmChQMtVhUYDk/nweqlQqRevWrWFnZwdtbX6rEBER/dmBAweeO5eWloZ169bxxlVF1qxZg/nz52PTpk3yo09JNUJDQzFo0CB5UeDSpUsIDAyEn58fHB0dsWrVKrRp0wahoaHCBhU5vpeoR1BQELZt24Zhw4ahc+fOf1n4FQNuHyAiIiJSopycHHzyySdISEjAuHHjsHjxYrRr107oWKJjYmKCyspK1NbWQl9fHzo6OgrzT47Lo//OwsICCQkJcHNzAwAsWLAAycnJSE1NBQDs3bsXISEhuHLlipAxRc/Q0BCZmZlcKaBirVq1QmxsLIYOHSp0FLXh418Nd/DgQXh5eUFHRwcHDx584WtHjBihplRERESNz6+//oqQkBDExMTgjTfewMWLF9G5c2ehY4kWjzRVnzt37sDMzEx+nZycDE9PT/l1jx49cPPmTSGiaZQjR46gbdu2QscQPV1dXdjZ2QkdQ624UkDDSaVSlJaWwtTUFFKp9Lmvk0gk7IBPRP8ZmySRGN27dw+ff/451q1bh27dumHFihXo37+/0LGIlMbKygrbt2/HgAEDUF1dDWNjYyQkJOC1114D8Hg7wcCBA7k6g0Rh9erVuHHjBtavX68RWwcArhTQeE83zvhzEw0iImVjkyQSm5UrV2LFihUwNzfHrl27eAyeQKqqqlBTU6MwZmRkJFAa8fH09MT8+fOxYsUKfPvtt9DX11cofGVlZaF9+/YCJiRSntTUVCQlJeHIkSPo1KlTg61J+/fvFyiZ6nClABERqQ33Q5LYSKVS6OnpwcPDA1paWs99nRg/RAqtoqIC8+bNQ1xcHMrKyhrMc4Wj8ty+fRs+Pj44c+YMDAwMEBMTg5EjR8rnX3vtNfTu3RtLly4VMCWRcvzVkeFiPD2MKwUIiYmJmDZtGs6ePdugqn7v3j307dsXGzduxIABAwRKSERE9HKaMGGCxiwvfdnMnTsXSUlJiIqKwoQJE7Bhwwb88ssv2LRpE5YvXy50PFFp3bo1Tp8+jXv37sHAwKBBAWzv3r0wMDAQKB2Rconxpv+vcKUAYcSIERg8eDCCg4OfOR8ZGYmkpKQXHrtERPR3pKamokePHjzLmoj+s3bt2iE2NhaDBg2CkZERMjIyYGdnh+3bt2PXrl04fPiw0BGJVOLu3bswNjYWOgaJyPM7y5HGyMzMVOgg+2dDhgxBenq6GhMRkVi9+uqrLAgQkVKUl5fDxsYGwOP+AU+a3L366qtISUkRMhqR0qxYsQJ79uyRX48aNQotW7ZE27ZtkZmZKWAycYuPj8eoUaPQu3dvuLq6KvwSIxYFCLdu3WrQQONp2trauH37thoTEREREb2Yra0tCgsLAQBOTk6Ii4sDACQkJPApKonGpk2bYGlpCQD44Ycf8MMPP+DIkSPw8vLCnDlzBE4nTpGRkfD394epqSkuXLiAnj17omXLlrhx4wa8vLyEjqcSLAoQ2rZti0uXLj13PisrCxYWFmpMRERERPRi/v7+8ieln3zyCaKiotCkSRMEBwfzZolEo6SkRF4UOHToEEaNGoUhQ4Zg7ty5+OmnnwROJ05RUVHYvHkz1q9fD11dXcydOxc//PADZsyYgXv37gkdTyVYFCAMHToUixYtwsOHDxvMVVVVISQkBMOHDxcgGREREdGzBQcHY8aMGQCAwYMH4+rVq9i1axcyMjIQFBQkcDoi5TAxMcHNmzcBAEePHoWHhwcAQCaT8YQNFSkuLkbfvn0BAHp6enjw4AEAYPz48di1a5eQ0VSGpw8Q/u///g/79++Hg4MDpk2bhg4dOkAikeDq1avYsGED6urqsGDBAqFjEhERET2XlZUVrKyshI5BpFQ+Pj4YO3Ys7O3tUVZWJl++fvHiRdjZ2QmcTpzMzc1RVlYmf085e/YsnJ2dUVBQALH26GdRgGBmZoa0tDRMmTIFn3zyifybXSKR4I033kBUVBTMzMwETklEjVlFRQWSk5NRXFyM6upqhbknT/qIiP6OH3/8EeXl5Qp7e2NjYxESEoKKigp4e3tj3bp1bGpKohAREQFra2vcvHkTK1eulB/9WFJSgqlTpwqcTpzc3d2RkJAAV1dXBAYGIjg4GPHx8Th//jx8fHyEjqcSPJKQFNy5cwfXr1+HTCaDvb09TExMhI5ERI3chQsXMHToUFRWVqKiogItWrTA77//Dn19fZiamuLGjRtCRySiRsTLywuDBg3CvHnzAACXLl2Cq6sr/Pz84OjoiFWrVuHDDz9EaGiosEGJlCAlJQV9+/aFtrbis9za2lqkpaVhwIABAiUTr/r6etTX18u/5nFxcUhNTYWdnR0mT54MXV1dgRMqH4sCRESkUoMGDYKDgwM2btwIY2NjZGZmQkdHB++99x6CgoJEW3UnItWwsLBAQkIC3NzcAAALFixAcnIyUlNTAQB79+5FSEgIrly5ImRMIqXQ0tJCSUkJTE1NFcbLyspgamrKvgKkFGw0SEREKnXx4kXMmjULWlpa0NLSwqNHj2BpaYmVK1fi008/FToeETUyd+7cUdjWmJycDE9PT/l1jx495I3ZiBo7mUwGiUTSYLysrAzNmjUTIJF4lZeX4+eff1YYu3z5Mvz9/TFq1Ch88803AiVTPfYUICIildLR0ZF/oDEzM0NxcTEcHR3RvHlzFBcXC5yOiBobMzMzFBQUwNLSEtXV1cjIyEBYWJh8/sGDB9DR0REwIdF/92QVnUQigZ+fn0KPjLq6OmRlZck75JNyfPTRR7CwsEB4eDgA4LfffkP//v3Rpk0btG/fHn5+fqirq8P48eMFTqp8LAoQEZFKubi44Pz583BwcMDgwYOxaNEi/P7779i+fTu6dOkidDwiamQ8PT0xf/58rFixAt9++y309fXRv39/+XxWVhbat28vYEKi/6558+YAHq8UMDQ0hJ6ennxOV1cXvXv3xvvvvy9UPFE6e/Ysvv76a/l1bGwsWrRogYsXL0JbWxtffPEFNmzYIMqiAHsKEBGRSp0/fx4PHjzA4MGDcfv2bUycOFHesCc6OhrdunUTOiIRNSK3b9+Gj48Pzpw5AwMDA8TExGDkyJHy+ddeew29e/fG0qVLBUxJpBxhYWGYPXs2twqogZ6eHnJycuRHmw4dOhSdOnXCqlWrAAC5ubno06cPysrKhIypEiwKEBEREVGjc+/ePRgYGEBLS0thvLy8HAYGBqLsEE5EqmNmZobjx4/D2dkZANCqVSts2rQJb7/9NgAgLy8PLi4u+OOPP4SMqRJsNEhERCrl7u6Ou3fvNhi/f/8+3N3d1R+IiEShefPmDQoCANCiRQsWBEg0bt26hfHjx6NNmzbQ1taWN+198ouUp2fPnoiMjER9fT3i4+Px4MEDhc8pubm5sLS0FDCh6rCnABERqdSpU6dQXV3dYPzhw4c4ffq0AImIiIgaBz8/PxQXF2PhwoWwsLB45kkEpByLFy+Gh4cHduzYgdraWnz66acwMTGRz+/evRsDBw4UMKHqsChAREQqkZWVJf/9lStXUFpaKr+uq6vD0aNH0bZtWyGiERERNQqpqak4ffo0+++oQbdu3XD16lWkpaXB3NwcvXr1UpgfM2YMnJycBEqnWuwpQEREKiGVSuVPNJ71o0ZPTw/r1q1DQECAuqMRERE1Ck5OTti5cydcXFyEjkIixqIAERGpRFFREWQyGWxtbXHu3Dm0bt1aPqerqwtTU1PuhyQiInqB48ePY/Xq1di0aROsra2FjkMixaIAERGpTE1NDd5//30sWrQItra2QschIiJqVExMTFBZWYna2lro6+tDR0dHYb68vFygZCQmLAoQEZFKmZiYID09nUUBIiKifygmJuaF8xMnTlRTEhIzFgWIiEil/P390aVLF3z88cdCRyEiIiKiP+HpA0REpFJ2dnZYvHgx0tLS0L17dzRr1kxhfsaMGQIlIyIiajyqqqpQU1OjMGZkZCRQGs0wbNgwbNmyBRYWFkJHUSmuFCAiIpWysbF57pxEIsGNGzfUmIaIiKjxqKiowLx58xAXF4eysrIG83V1dQKk0hyGhobIzMwU/RZIrhQgIiKVKigoEDoCERFRozR37lwkJSUhKioKEyZMwIYNG/DLL79g06ZNWL58udDxSCRYFCAiIrV5sjhNIpEInISIiOjll5CQgNjYWAwaNAgBAQHo378/7OzsYGVlhZ07d2LcuHFCRxQ1KyurBic+iJFU6ABERCR+sbGx6NKlC/T09KCnp4euXbti+/btQsciIiJ6qZWXl8u34RkZGcmPIHz11VeRkpIiZDSNkJ2dDUtLS6FjqByLAkREpFLh4eGYMmUKhg4diri4OOzZsweenp6YPHkyIiIihI5HRET00rK1tUVhYSEAwMnJCXFxcQAeryAwNjYWLhiJChsNEhGRStnY2CAsLAwTJkxQGI+JiUFoaCh7DhARET1HREQEtLS0MGPGDCQlJWHYsGGoq6tDbW0twsPDERQUJHREEgEWBYiISKWaNm2K7Oxs2NnZKYzn5eWhS5cuePjwoUDJiIiIGpeioiKkp6ejffv2cHZ2FjoOiQS3DxARkUrZ2dnJlzs+bc+ePbC3txcgERERUeNkZWUFHx8fFgRIqXj6ABERqVRYWBhGjx6NlJQU9OvXDxKJBKmpqTh58uQziwVERESa7scff0R5eTm8vLzkY7GxsQgJCUFFRQW8vb2xbt06NGnSRMCUJBbcPkBERCqXnp6OiIgIXL16FTKZDE5OTpg1axZcXFyEjkZERPTS8fLywqBBgzBv3jwAwKVLl+Dq6go/Pz84Ojpi1apV+PDDDxEaGipsUJGKj49HXFwciouLUV1drTCXkZEhUCrVYVGAiIiIiIjoJWJhYYGEhAS4ubkBABYsWIDk5GSkpqYCAPbu3YuQkBBcuXJFyJiiFBkZiQULFmDixIn46quv4O/vj/z8fPz000/46KOPsHTpUqEjKh23DxARkUrcv3//b73OyMhIxUmIiIgalzt37sDMzEx+nZycDE9PT/l1jx49cPPmTSGiiVZubi4cHBwQFRWFzZs3w9fXFzExMZg7dy5sbW2xaNEilJeXCx1TJdhokIiIVMLY2BgmJibP/fVknoiIiBSZmZnJj+ytrq5GRkYG+vTpI59/8OABdHR0hIonOjt27MCoUaMAAMXFxejbty8AQE9PDw8ePAAAjB8/Hrt27RIsoypxpQAREalEUlKS/PcymQxDhw7Fli1b0LZtWwFTERERvfw8PT0xf/58rFixAt9++y309fXRv39/+XxWVhbat28vYELx2Lx5M7Zu3YoTJ04AAMzNzVFWVgYrKytYWVnh7NmzcHZ2RkFBAcS6855FASIiUomBAwcqXGtpaaF3796wtbUVKBEREVHjsGTJEvj4+GDgwIEwMDBATEwMdHV15fPR0dEYMmSIgAnFw9HREadOnYKenh4AwN3dHQkJCXB1dUVgYCCCg4MRHx+P8+fPw8fHR+C0qsFGg0REpBaGhobIzMxkUYCIiOhvunfvHgwMDKClpaUwXl5eDgMDA4VCASlHfX096uvroa39+Pl5XFwcUlNTYWdnh8mTJ4vya86iABERqQWLAkREREQvH24fICIitZFIJEJHICIiIlKQlZWFzp07QyqVIisr64Wv7dq1q5pSqQ9XChARkUr8ed9dQkIC3N3d0axZM4Xx/fv3qzMWERERkQKpVIrS0lKYmppCKpVCIpE8s6mgRCJBXV2dAAlViysFiIhIJZo3b65w/d577wmUhIiIiOj5CgoK0Lp1a/nvNQ1XChAREREREZHGq6mpwQcffICFCxdqVA8kqdABiIiIiIiIiISmo6ODAwcOCB1D7VgUICIiIiIiIgIwcuRIfPvtt0LHUCv2FCAiIiIiIiICYGdnh8WLFyMtLQ3du3dv0CB5xowZAiVTHfYUICIiIiIiIgJgY2Pz3DmJRIIbN26oMY16sChAREREREREGk8mk6GoqAimpqbQ19cXOo7asKcAERERERERaTyZTAYHBwf88ssvQkdRKxYFiIiIiIiISONJpVLY29ujrKxM6ChqxaIAEREREREREYCVK1dizpw5yM7OFjqK2rCnABEREREREREAExMTVFZWora2Frq6utDT01OYLy8vFyiZ6vBIQiIiIiIiIiIAa9asETqC2nGlABEREREREZGG4koBIiIiIiIioj+pqqpCTU2NwpiRkZFAaVSHjQaJiIiIiIiIAFRUVGDatGkwNTWFgYEBTExMFH6JEYsCRERERERERADmzp2LxMREREVFoUmTJtiyZQvCwsLQpk0bxMbGCh1PJdhTgIiIiIiIiAhAu3btEBsbi0GDBsHIyAgZGRmws7PD9u3bsWvXLhw+fFjoiErHlQJEREREREREeHzkoI2NDYDH/QOeHEH46quvIiUlRchoKsOiABEREREREREAW1tbFBYWAgCcnJwQFxcHAEhISICxsbFwwVSI2weIiIiIiIiIAEREREBLSwszZsxAUlIShg0bhrq6OtTW1iI8PBxBQUFCR1Q6FgWIiIiIiIiInqGoqAjp6elo3749nJ2dhY6jEiwKEBEREREREWko9hQgIiIiIiIijfbjjz/iyJEjCmOxsbGwsbGBqakpPvjgAzx69EigdKrFogARERERERFptNDQUGRlZcmvL126hMDAQHh4eGD+/PlISEjAsmXLBEyoOtw+QERERERERBrNwsICCQkJcHNzAwAsWLAAycnJSE1NBQDs3bsXISEhuHLlipAxVYIrBYiIiIiIiEij3blzB2ZmZvLr5ORkeHp6yq979OiBmzdvChFN5VgUICIiIiIiIo1mZmaGgoICAEB1dTUyMjLQp08f+fyDBw+go6MjVDyVYlGAiIiIiIiINJqnpyfmz5+P06dP45NPPoG+vj769+8vn8/KykL79u0FTKg62kIHICIiIiIiIhLSkiVL4OPjg4EDB8LAwAAxMTHQ1dWVz0dHR2PIkCECJlQdNhokIiIiIiIiAnDv3j0YGBhAS0tLYby8vBwGBgYKhQKxYFGAiIiIiIiISEOxpwARERERERGRhmJRgIiIiIiIiEhDsShAREREREREpKFYFCAiIiKVkEgk+Pbbb5X+9w4aNAgzZ85U+t9LRESkiVgUICIion/Ez88PEokEEokEOjo6MDMzw+uvv47o6GjU19fLX1dSUgIvL6+/9Xf+kwLC/v37sXjxYvm1tbU11qxZ80/+E4iIiOj/w6IAERER/WOenp4oKSlBYWEhjhw5gsGDByMoKAjDhw9HbW0tAMDc3BxNmjRR2r9ZU1MDAGjRogUMDQ2V9vcSERFpMhYFiIiI6B9r0qQJzM3N0bZtW7i6uuLTTz/Fd999hyNHjmDbtm0AFJ/+V1dXY9q0abCwsEDTpk1hbW2NZcuWAXj8pB8ARo4cCYlEIr8ODQ1Ft27dEB0dDVtbWzRp0gQymUxh+8CgQYNQVFSE4OBg+eqFJ/bt24dOnTqhSZMmsLa2xurVqxX+G6KiomBvb4+mTZvCzMwM77zzjsq+XkRERC8rbaEDEBERkTi4u7vD2dkZ+/fvx6RJkxTmIiMjcfDgQcTFxaFdu3a4efMmbt68CQD46aefYGpqiq+//hqenp7Q0tKS/7nr168jLi4O+/btUxh/Yv/+/XB2dsYHH3yA999/Xz6enp6OUaNGITQ0FKNHj0ZaWhqmTp2Kli1bws/PD+fPn8eMGTOwfft29O3bF+Xl5Th9+rSKvjJEREQvLxYFiIiISGk6duyIrKysBuPFxcWwt7fHq6++ColEAisrK/lc69atAQDGxsYwNzdX+HPV1dXYvn27/DV/1qJFC2hpacHQ0FDhz4aHh+O1117DwoULAQAODg64cuUKVq1aBT8/PxQXF6NZs2YYPnw4DA0NYWVlBRcXl//8309ERNTYcPsAERERKY1MJlNYwv+En58fLl68iA4dOmDGjBk4fvz43/r7rKysnlsQeJGrV6+iX79+CmP9+vVDXl4e6urq8Prrr8PKygq2trYYP348du7cicrKyn/87xARETV2LAoQERGR0ly9ehU2NjYNxl1dXVFQUIDFixejqqoKo0aN+lt7+Js1a/avcjyrOCGTyeS/NzQ0REZGBnbt2gULCwssWrQIzs7OuHv37r/694iIiBorFgWIiIhIKRITE3Hp0iW8/fbbz5w3MjLC6NGj8dVXX2HPnj3Yt28fysvLAQA6Ojqoq6v7V/+urq5ugz/r5OSE1NRUhbG0tDQ4ODjIexNoa2vDw8MDK1euRFZWFgoLC5GYmPivMhARETVW7ClARERE/9ijR49QWlqKuro63Lp1C0ePHsWyZcswfPhwTJgwocHrIyIiYGFhgW7dukEqlWLv3r0wNzeHsbExgMcnEJw8eRL9+vVDkyZNYGJi8rezWFtbIyUlBWPGjEGTJk3QqlUrzJo1Cz169MDixYsxevRo/O9//8P69esRFRUFADh06BBu3LiBAQMGwMTEBIcPH0Z9fT06dOiglK8PERFRY8GVAkRERPSPHT16FBYWFrC2toanpyeSkpIQGRmJ77777pmnBBgYGGDFihVwc3NDjx49UFhYiMOHD0MqffxRZPXq1fjhhx9gaWn5jxv+ffbZZygsLET79u3l/QdcXV0RFxeH3bt3o3Pnzli0aBE+++wz+Pn5AXjc1HD//v1wd3eHo6MjvvzyS+zatQudOnX6b18YIiKiRkYie3qDHRERERERERFpDK4UICIiIiIiItJQLAoQERERERERaSgWBYiIiIiIiIg0FIsCRERERERERBqKRQEiIiIiIiIiDcWiABEREREREZGGYlGAiIiIiIiISEOxKEBERERERESkoVgUICIiIiIiItJQLAoQERERERERaSgWBYiIiIiIiIg0FIsCRERERERERBrq/wEufTd/oNEqRgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sal_anual.plot(kind='bar',figsize=(12,5))\n",
    "plt.xlabel('Distritos')\n",
    "plt.ylabel('Media de salario',fontsize=15)\n",
    "plt.title('Media de salario anual- Distrititos Barcelona -2016/2022', fontsize=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89c16ebe",
   "metadata": {},
   "source": [
    "Al observar la anterior gráfica, se entiende que los distritos con una salario medio anaul más alto son Sarria (+ de 55.000€) seguido de Les Corts(40.000 €). Los distritos que tiene un salario medio anual más bajo, son Nou Barris(23.000€) y también en este caso Ciutat Vella(25.000€). En el caso de ciutat vella sorprende que la media del salario anual sean tan baja, al mirar que el alquiler en el 2023 ya superaba los 1100 € de media.\n",
    "\n",
    "Nota: Lamentablemente, desde el año 2022 no se publican en el ayuntamiento esta información, por ello el análisis se puede realizar hasta dicho año."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "b03b7c2d",
   "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>Territori</th>\n",
       "      <th>Año</th>\n",
       "      <th>Ciutat Vella</th>\n",
       "      <th>Eixample</th>\n",
       "      <th>Sants - Montjuïc</th>\n",
       "      <th>Les Corts</th>\n",
       "      <th>Sarrià - Sant Gervasi</th>\n",
       "      <th>Gràcia</th>\n",
       "      <th>Horta - Guinardó</th>\n",
       "      <th>Nou Barris</th>\n",
       "      <th>Sant Andreu</th>\n",
       "      <th>Sant Martí</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>20969.02348</td>\n",
       "      <td>31930.49291</td>\n",
       "      <td>25966.55797</td>\n",
       "      <td>36834.39679</td>\n",
       "      <td>46093.24815</td>\n",
       "      <td>30087.81371</td>\n",
       "      <td>27594.1367</td>\n",
       "      <td>21034.37822</td>\n",
       "      <td>25962.43546</td>\n",
       "      <td>28996.90319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>22244.34036</td>\n",
       "      <td>33959.18402</td>\n",
       "      <td>26982.67492</td>\n",
       "      <td>37898.50791</td>\n",
       "      <td>46021.84782</td>\n",
       "      <td>31214.14367</td>\n",
       "      <td>28342.38718</td>\n",
       "      <td>22247.34706</td>\n",
       "      <td>27037.9611</td>\n",
       "      <td>29998.38229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>22404.54444</td>\n",
       "      <td>34575.70162</td>\n",
       "      <td>27357.47686</td>\n",
       "      <td>38575.23259</td>\n",
       "      <td>47395.96658</td>\n",
       "      <td>32302.24381</td>\n",
       "      <td>28833.80036</td>\n",
       "      <td>22444.53347</td>\n",
       "      <td>27715.64374</td>\n",
       "      <td>30556.16752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>22528.7768</td>\n",
       "      <td>34770.24203</td>\n",
       "      <td>27350.32654</td>\n",
       "      <td>41548.2448</td>\n",
       "      <td>49195.74946</td>\n",
       "      <td>33576.50663</td>\n",
       "      <td>29222.56519</td>\n",
       "      <td>22844.49661</td>\n",
       "      <td>27877.48225</td>\n",
       "      <td>30647.73736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>20542.7657</td>\n",
       "      <td>34655.47145</td>\n",
       "      <td>26304.73707</td>\n",
       "      <td>38985.30789</td>\n",
       "      <td>49185.12548</td>\n",
       "      <td>32618.96623</td>\n",
       "      <td>28310.7816</td>\n",
       "      <td>22600.3541</td>\n",
       "      <td>27357.96773</td>\n",
       "      <td>30694.91091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Territori   Año Ciutat Vella     Eixample Sants - Montjuïc    Les Corts  \\\n",
       "0          2016  20969.02348  31930.49291      25966.55797  36834.39679   \n",
       "1          2017  22244.34036  33959.18402      26982.67492  37898.50791   \n",
       "2          2018  22404.54444  34575.70162      27357.47686  38575.23259   \n",
       "3          2019   22528.7768  34770.24203      27350.32654   41548.2448   \n",
       "4          2020   20542.7657  34655.47145      26304.73707  38985.30789   \n",
       "\n",
       "Territori Sarrià - Sant Gervasi       Gràcia Horta - Guinardó   Nou Barris  \\\n",
       "0                   46093.24815  30087.81371       27594.1367  21034.37822   \n",
       "1                   46021.84782  31214.14367      28342.38718  22247.34706   \n",
       "2                   47395.96658  32302.24381      28833.80036  22444.53347   \n",
       "3                   49195.74946  33576.50663      29222.56519  22844.49661   \n",
       "4                   49185.12548  32618.96623       28310.7816   22600.3541   \n",
       "\n",
       "Territori  Sant Andreu   Sant Martí  \n",
       "0          25962.43546  28996.90319  \n",
       "1           27037.9611  29998.38229  \n",
       "2          27715.64374  30556.16752  \n",
       "3          27877.48225  30647.73736  \n",
       "4          27357.96773  30694.91091  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "2ca76891",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    295469.38658\n",
       "1    305946.77633\n",
       "2    312161.31099\n",
       "3    319562.12767\n",
       "4    311256.38816\n",
       "5    328985.05764\n",
       "6    346248.08565\n",
       "dtype: object"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df4['Ciutat Vella']+df4['Eixample']+df4['Sants - Montjuïc']+df4['Les Corts']+df4['Sarrià - Sant Gervasi']+df4['Gràcia']+df4['Horta - Guinardó']+df4['Nou Barris']+df4['Sant Andreu']+df4['Sant Martí'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "373e8342",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\AppData\\Local\\Temp\\ipykernel_14804\\3995867789.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df4['Suma_total'] = df4[columnas].sum(axis=1)\n"
     ]
    }
   ],
   "source": [
    "columnas = ['Ciutat Vella', 'Eixample', 'Sants - Montjuïc', 'Les Corts','Sarrià - Sant Gervasi', \n",
    "            'Gràcia', 'Horta - Guinardó', 'Nou Barris', 'Sant Andreu', 'Sant Martí']\n",
    "\n",
    "df4['Suma_total'] = df4[columnas].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "c1e9cd3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\AppData\\Local\\Temp\\ipykernel_14804\\4173470913.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df4['Media_ganancia7'] = (df4['Suma_total']/7)\n"
     ]
    }
   ],
   "source": [
    "df4['Media_ganancia7'] = (df4['Suma_total']/7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "049d2957",
   "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>Territori</th>\n",
       "      <th>Año</th>\n",
       "      <th>Ciutat Vella</th>\n",
       "      <th>Eixample</th>\n",
       "      <th>Sants - Montjuïc</th>\n",
       "      <th>Les Corts</th>\n",
       "      <th>Sarrià - Sant Gervasi</th>\n",
       "      <th>Gràcia</th>\n",
       "      <th>Horta - Guinardó</th>\n",
       "      <th>Nou Barris</th>\n",
       "      <th>Sant Andreu</th>\n",
       "      <th>Sant Martí</th>\n",
       "      <th>Suma_total</th>\n",
       "      <th>Media_ganancia7</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016</td>\n",
       "      <td>20969.02348</td>\n",
       "      <td>31930.49291</td>\n",
       "      <td>25966.55797</td>\n",
       "      <td>36834.39679</td>\n",
       "      <td>46093.24815</td>\n",
       "      <td>30087.81371</td>\n",
       "      <td>27594.1367</td>\n",
       "      <td>21034.37822</td>\n",
       "      <td>25962.43546</td>\n",
       "      <td>28996.90319</td>\n",
       "      <td>295469.38658</td>\n",
       "      <td>42209.912369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017</td>\n",
       "      <td>22244.34036</td>\n",
       "      <td>33959.18402</td>\n",
       "      <td>26982.67492</td>\n",
       "      <td>37898.50791</td>\n",
       "      <td>46021.84782</td>\n",
       "      <td>31214.14367</td>\n",
       "      <td>28342.38718</td>\n",
       "      <td>22247.34706</td>\n",
       "      <td>27037.9611</td>\n",
       "      <td>29998.38229</td>\n",
       "      <td>305946.77633</td>\n",
       "      <td>43706.682333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>22404.54444</td>\n",
       "      <td>34575.70162</td>\n",
       "      <td>27357.47686</td>\n",
       "      <td>38575.23259</td>\n",
       "      <td>47395.96658</td>\n",
       "      <td>32302.24381</td>\n",
       "      <td>28833.80036</td>\n",
       "      <td>22444.53347</td>\n",
       "      <td>27715.64374</td>\n",
       "      <td>30556.16752</td>\n",
       "      <td>312161.31099</td>\n",
       "      <td>44594.472999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>22528.7768</td>\n",
       "      <td>34770.24203</td>\n",
       "      <td>27350.32654</td>\n",
       "      <td>41548.2448</td>\n",
       "      <td>49195.74946</td>\n",
       "      <td>33576.50663</td>\n",
       "      <td>29222.56519</td>\n",
       "      <td>22844.49661</td>\n",
       "      <td>27877.48225</td>\n",
       "      <td>30647.73736</td>\n",
       "      <td>319562.12767</td>\n",
       "      <td>45651.732524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>20542.7657</td>\n",
       "      <td>34655.47145</td>\n",
       "      <td>26304.73707</td>\n",
       "      <td>38985.30789</td>\n",
       "      <td>49185.12548</td>\n",
       "      <td>32618.96623</td>\n",
       "      <td>28310.7816</td>\n",
       "      <td>22600.3541</td>\n",
       "      <td>27357.96773</td>\n",
       "      <td>30694.91091</td>\n",
       "      <td>311256.38816</td>\n",
       "      <td>44465.198309</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Territori   Año Ciutat Vella     Eixample Sants - Montjuïc    Les Corts  \\\n",
       "0          2016  20969.02348  31930.49291      25966.55797  36834.39679   \n",
       "1          2017  22244.34036  33959.18402      26982.67492  37898.50791   \n",
       "2          2018  22404.54444  34575.70162      27357.47686  38575.23259   \n",
       "3          2019   22528.7768  34770.24203      27350.32654   41548.2448   \n",
       "4          2020   20542.7657  34655.47145      26304.73707  38985.30789   \n",
       "\n",
       "Territori Sarrià - Sant Gervasi       Gràcia Horta - Guinardó   Nou Barris  \\\n",
       "0                   46093.24815  30087.81371       27594.1367  21034.37822   \n",
       "1                   46021.84782  31214.14367      28342.38718  22247.34706   \n",
       "2                   47395.96658  32302.24381      28833.80036  22444.53347   \n",
       "3                   49195.74946  33576.50663      29222.56519  22844.49661   \n",
       "4                   49185.12548  32618.96623       28310.7816   22600.3541   \n",
       "\n",
       "Territori  Sant Andreu   Sant Martí    Suma_total Media_ganancia7  \n",
       "0          25962.43546  28996.90319  295469.38658    42209.912369  \n",
       "1           27037.9611  29998.38229  305946.77633    43706.682333  \n",
       "2          27715.64374  30556.16752  312161.31099    44594.472999  \n",
       "3          27877.48225  30647.73736  319562.12767    45651.732524  \n",
       "4          27357.96773  30694.91091  311256.38816    44465.198309  "
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "ef1b6f2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    3517.492697\n",
       "1    3642.223528\n",
       "2    3716.206083\n",
       "3    3804.311044\n",
       "4    3705.433192\n",
       "5    3916.488781\n",
       "6     4122.00102\n",
       "Name: Media_ganancia7, dtype: object"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df4['Media_ganancia7']/12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e525f4c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "115c3e04",
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.merge(\n",
    "    df_mes,\n",
    "    df3[['Any', 'Trimestre', 'Codi_Districte', 'Nom_Districte', 'Codi_Barri', 'Nom_Barri', 'Superfície_mitjana','Nombre']],\n",
    "    on=['Any', 'Trimestre', 'Codi_Districte', 'Nom_Districte', 'Codi_Barri', 'Nom_Barri'],\n",
    "    how='inner'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "86d69d72",
   "metadata": {},
   "outputs": [],
   "source": [
    "df5 = result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "47e611fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 949 entries, 0 to 948\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   Any                 949 non-null    int64  \n",
      " 1   Trimestre           949 non-null    int64  \n",
      " 2   Codi_Districte      949 non-null    int64  \n",
      " 3   Nom_Districte       949 non-null    object \n",
      " 4   Codi_Barri          949 non-null    int64  \n",
      " 5   Nom_Barri           949 non-null    object \n",
      " 6   Lloguer_mitja       949 non-null    object \n",
      " 7   Preu                949 non-null    float64\n",
      " 8   Superfície_mitjana  949 non-null    object \n",
      " 9   Nombre              949 non-null    float64\n",
      "dtypes: float64(2), int64(4), object(4)\n",
      "memory usage: 74.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df5.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "b3130f2f",
   "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>Any</th>\n",
       "      <th>Trimestre</th>\n",
       "      <th>Codi_Districte</th>\n",
       "      <th>Nom_Districte</th>\n",
       "      <th>Codi_Barri</th>\n",
       "      <th>Nom_Barri</th>\n",
       "      <th>Lloguer_mitja</th>\n",
       "      <th>Preu</th>\n",
       "      <th>Superfície_mitjana</th>\n",
       "      <th>Nombre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>1</td>\n",
       "      <td>el Raval</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>864.5</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>62.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>2</td>\n",
       "      <td>el Barri Gòtic</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1110.2</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>87.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>3</td>\n",
       "      <td>la Barceloneta</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>899.5</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>53.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Ciutat Vella</td>\n",
       "      <td>4</td>\n",
       "      <td>Sant Pere, Santa Caterina i la Ribera</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>76.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Eixample</td>\n",
       "      <td>5</td>\n",
       "      <td>el Fort Pienc</td>\n",
       "      <td>Lloguer mitjà mensual (Euros/mes)</td>\n",
       "      <td>1059.9</td>\n",
       "      <td>m2_construïts</td>\n",
       "      <td>76.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Any  Trimestre  Codi_Districte Nom_Districte  Codi_Barri  \\\n",
       "0  2020          1               1  Ciutat Vella           1   \n",
       "1  2020          1               1  Ciutat Vella           2   \n",
       "2  2020          1               1  Ciutat Vella           3   \n",
       "3  2020          1               1  Ciutat Vella           4   \n",
       "4  2020          1               2      Eixample           5   \n",
       "\n",
       "                               Nom_Barri                      Lloguer_mitja  \\\n",
       "0                               el Raval  Lloguer mitjà mensual (Euros/mes)   \n",
       "1                         el Barri Gòtic  Lloguer mitjà mensual (Euros/mes)   \n",
       "2                         la Barceloneta  Lloguer mitjà mensual (Euros/mes)   \n",
       "3  Sant Pere, Santa Caterina i la Ribera  Lloguer mitjà mensual (Euros/mes)   \n",
       "4                          el Fort Pienc  Lloguer mitjà mensual (Euros/mes)   \n",
       "\n",
       "     Preu Superfície_mitjana  Nombre  \n",
       "0   864.5      m2_construïts    62.8  \n",
       "1  1110.2      m2_construïts    87.4  \n",
       "2   899.5      m2_construïts    53.9  \n",
       "3  1030.0      m2_construïts    76.2  \n",
       "4  1059.9      m2_construïts    76.4  "
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "87f1762e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Nombre', ylabel='Preu'>"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=df5, x='Nombre', y='Preu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "89391568",
   "metadata": {},
   "outputs": [],
   "source": [
    "precio_medio_m2 = df5.groupby('Nombre')['Preu'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "5abaad58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.lineplot(data= precio_medio_m2)\n",
    "plt.xlabel('M2')\n",
    "plt.ylabel('Precio')\n",
    "plt.title('Media de precio por M2')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "dd73043e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\data\\Lib\\site-packages\\seaborn\\axisgrid.py:123: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2857c6f1e50>"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1440x600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sns.lmplot(data=df5, x='Nombre', y='Preu', col='Any', height=6,  aspect=0.6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "2b1f599f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\gemas\\AppData\\Local\\Temp\\ipykernel_14804\\1980180059.py:3: UserWarning: The palette list has more values (10) than needed (4), which may not be intended.\n",
      "  sns.lineplot(data= df5, x='Nombre', y='Preu', hue='Any', palette=palette)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "palette = sns.color_palette(\"tab10\")\n",
    "sns.lineplot(data= df5, x='Nombre', y='Preu', hue='Any', palette=palette)\n",
    "plt.xlabel('M2')\n",
    "plt.ylabel('Precio')\n",
    "plt.title('Media de precio por M2 2020-2023')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1f613c6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}