02_TIDE_session.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c7c62426",
   "metadata": {},
   "source": [
    "# Conférences Python Master TIDE #2\n",
    "\n",
    "## A) US baby names\n",
    "\n",
    "Télécharger le dataset national des prénoms US :\n",
    "- Site : https://www.ssa.gov/oact/babynames/limits.html\n",
    "- Fichier : https://www.ssa.gov/oact/babynames/names.zip\n",
    "\n",
    "**Data Preparation**\n",
    "- Avec une boucle et en utilisant la fonction `concat()` de **pandas** constituer un DataFrame avec l'ensemble des fichiers en ajoutant une colonne avec l'année.\n",
    "- Ordre et noms des colonnes du DataFrame créé : \"year\", \"name\", \"gender\", \"births\"\n",
    "\n",
    "**Data Analysis**\n",
    "- Calculer la fréquence des genres dans le fichier. Expliquer.\n",
    "- Quel est le top 16 de la fréquence des prénoms dans le fichier ? Expliquer.\n",
    "- Ecrire une fonction qui affiche l'évolution des naissances d'un prénom et d'un genre dans le temps.\n",
    "- Calculer l'évolution du nombre de naissances par année et par genre et afficher un graphique.\n",
    "- Calculer l'évolution de la diversité des prénoms par année et par genre et afficher un graphique.\n",
    "\n",
    "**Data Viz**\n",
    "- Quels sont les 10 prénoms qui ont été les plus donnés.\n",
    "- Produire un graphique de type `stripplot` avec en x les naissances, en y les 10 prénoms les plus donnés et une couleur différente par nuages de points.\n",
    "\n",
    "## B) Prénoms français\n",
    "\n",
    "Télécharger le dataset Fichiers France hors Mayotte de l'INSEE :\n",
    "- https://www.insee.fr/fr/statistiques/8205621\n",
    "- https://www.insee.fr/fr/statistiques/fichier/8205621/prenoms-2023-nat_csv.zip\n",
    "\n",
    "L'idée est de charger les données et ensuite de les conformer au DataFrame des prénoms US. Ainsi, toute manipulation sur le DataFrame des prénoms US pourra être directement réutilisée avec le DataFrame des prénoms français.\n",
    "\n",
    "**Data Preparation**\n",
    "- Charger les données dans un DataFrame.\n",
    "- Utiliser les mêmes noms de colonnes que pour le DataFrame US.\n",
    "- Eliminer les données inutilisables et les prénoms d'une seule lettre.\n",
    "- Passer les prénoms en minuscules sauf les initiales qui doivent rester en majuscules. Attention aux prénoms composés.\n",
    "- Utiliser les mêmes catégories pour le genre.\n",
    "- Passer les nombres de naissances en entiers.\n",
    "- Trier le DataFrame à l'identique : années croissantes, genres croissants, naissances décroissantes, prénoms croissants.\n",
    "- Remettre un index allant de 0 à N-1.\n",
    "\n",
    "**Data Analysis**\n",
    "- Ecrire une fonction qui affiche l'évolution des naissances d'un prénom dans le temps.\n",
    "- Calculer l'évolution du nombre de naissances par année et par genre et afficher un graphique.\n",
    "- Calculer l'évolution de la diversité des prénoms par année et par genre et afficher un graphique.\n",
    "\n",
    "## C) Villes du monde et pays\n",
    "\n",
    "Télécharger le dataset avec les villes du monde de plus de 500 habitants :\n",
    "- http://www.geonames.org/\n",
    "- http://download.geonames.org/export/dump/cities500.zip\n",
    "\n",
    "\n",
    "**Data Preparation**\n",
    "- Dans un premier temps, charger les données dans un DataFrame avec comme noms de colonnes <code>['geonameid', 'name', 'asciiname', 'alternatenames', 'latitude', 'longitude', 'feature class', 'feature code', 'country code', 'cc2', 'admin1 code', 'admin2 code', 'admin3 code', 'admin4 code', 'population', 'elevation', 'dem', 'timezone', 'modification date']</code>\n",
    "- On obtient un warning sur des types mixtes : parmi les colonnes qui sont des chaînes de caractères, quelles sont celles qui comportent également des nombres ? (appliquer la méthode de chaîne `isdigit()` sur les colonnes de type `object`).\n",
    "- Compter le nombre de valeurs manquantes dans chaque colonne : quelle colonnes ne devraient pas avoir de valeurs manquantes ?\n",
    "- Appliquer `describe()` sur le DataFrame complet, quelle valeur semble être également une valeur manquante ?\n",
    "- Recharger les données en passant en `str` les colonnes mixtes et en précisant les valeurs manquantes.\n",
    "\n",
    "**Split-apply-combine strategy**\n",
    "- Ecrire une fonction qui trouve le nombre de `alternatenames` de chaque ville.\n",
    "```python\n",
    "def average_alternate_names(group):\n",
    "    pass\n",
    "```\n",
    "- Calculer la moyenne du nombre de `alternatenames` par `feature code`.\n",
    "\n",
    "**Jointure**\n",
    "\n",
    "- Charger le tableau de la page https://www.geonames.org/countries/ avec la fonction **pandas** <code>read_html</code> en prenant garde aux valeurs manquantes par défaut.\n",
    "- Joindre le DataFrame des villes avec celui des pays.\n",
    "- Ecrire une fonction qui retourne le nom de la ville la plus peuplée et la tester sur le DataFrame obtenu.\n",
    "- Appliquer la fonction en groupant par continent.\n",
    "\n",
    "&copy; Francis Wolinski 2024"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3530348c-ff18-403d-a425-eaaef0e76f2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.listdir(\"names\")\n",
    "\n",
    "import glob\n",
    "sorted(glob.glob(\"names/*.txt\"));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3d1145fe-cf0f-43ad-8b5a-292ca4a7e34e",
   "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>name</th>\n",
       "      <th>gender</th>\n",
       "      <th>birth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mary</td>\n",
       "      <td>F</td>\n",
       "      <td>7065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Anna</td>\n",
       "      <td>F</td>\n",
       "      <td>2604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Emma</td>\n",
       "      <td>F</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>F</td>\n",
       "      <td>1939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Minnie</td>\n",
       "      <td>F</td>\n",
       "      <td>1746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>Woodie</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>Worthy</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>Wright</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>York</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>Zachariah</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           name gender  birth\n",
       "0          Mary      F   7065\n",
       "1          Anna      F   2604\n",
       "2          Emma      F   2003\n",
       "3     Elizabeth      F   1939\n",
       "4        Minnie      F   1746\n",
       "...         ...    ...    ...\n",
       "1995     Woodie      M      5\n",
       "1996     Worthy      M      5\n",
       "1997     Wright      M      5\n",
       "1998       York      M      5\n",
       "1999  Zachariah      M      5\n",
       "\n",
       "[2000 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.read_csv(\"names/yob1880.txt\", header=None, names=[\"name\", \"gender\", \"birth\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a8460c44-ba42-410f-a6a2-57f04986d515",
   "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>year</th>\n",
       "      <th>name</th>\n",
       "      <th>gender</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1880</td>\n",
       "      <td>Mary</td>\n",
       "      <td>F</td>\n",
       "      <td>7065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1880</td>\n",
       "      <td>Anna</td>\n",
       "      <td>F</td>\n",
       "      <td>2604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1880</td>\n",
       "      <td>Emma</td>\n",
       "      <td>F</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1880</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>F</td>\n",
       "      <td>1939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1880</td>\n",
       "      <td>Minnie</td>\n",
       "      <td>F</td>\n",
       "      <td>1746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117214</th>\n",
       "      <td>2023</td>\n",
       "      <td>Zyell</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117215</th>\n",
       "      <td>2023</td>\n",
       "      <td>Zyen</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117216</th>\n",
       "      <td>2023</td>\n",
       "      <td>Zymirr</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117217</th>\n",
       "      <td>2023</td>\n",
       "      <td>Zyquan</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2117218</th>\n",
       "      <td>2023</td>\n",
       "      <td>Zyrin</td>\n",
       "      <td>M</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2117219 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         year       name gender  births\n",
       "0        1880       Mary      F    7065\n",
       "1        1880       Anna      F    2604\n",
       "2        1880       Emma      F    2003\n",
       "3        1880  Elizabeth      F    1939\n",
       "4        1880     Minnie      F    1746\n",
       "...       ...        ...    ...     ...\n",
       "2117214  2023      Zyell      M       5\n",
       "2117215  2023       Zyen      M       5\n",
       "2117216  2023     Zymirr      M       5\n",
       "2117217  2023     Zyquan      M       5\n",
       "2117218  2023      Zyrin      M       5\n",
       "\n",
       "[2117219 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfs = []\n",
    "\n",
    "for year in range(1880, 2024):\n",
    "    csv = pd.read_csv(f\"names/yob{year}.txt\",\n",
    "                      header=None,\n",
    "                      names=[\"name\", \"gender\", \"births\"])\n",
    "    csv[\"year\"] = year\n",
    "    dfs.append(csv)\n",
    "\n",
    "df = pd.concat(dfs, ignore_index=True)\n",
    "df = df[[\"year\", \"name\", \"gender\", \"births\"]]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "964e3ca3-a437-4345-99d2-0dfc5fbe9ed8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender\n",
       "F    1245559\n",
       "M     871660\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"gender\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9897bdc5-1407-4ef2-a414-ae58a5efcd4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender\n",
       "F    182299206\n",
       "M    186337032\n",
       "Name: births, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"gender\")[\"births\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8b239ea9-d04c-4fc8-aa8f-c36c2f4637c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name\n",
       "Francis    288\n",
       "Sidney     288\n",
       "John       288\n",
       "Ollie      288\n",
       "Jessie     288\n",
       "Marion     288\n",
       "Jesse      288\n",
       "Leslie     288\n",
       "Tommie     288\n",
       "Joseph     288\n",
       "Johnnie    288\n",
       "Jean       288\n",
       "James      288\n",
       "William    288\n",
       "Lee        288\n",
       "June       287\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"name\"].value_counts().head(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "504c152f-f5d4-46c0-b8dc-3936f19800f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "144"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2024-1880"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9629f288-9931-4711-8104-c687a045ebb7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "selection = df.loc[(df[\"name\"]==\"William\") & (df[\"gender\"]==\"M\")]\n",
    "selection.plot.line(x=\"year\", y=\"births\", title=\"Naissances de William (M) dans le temps\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b343d840-75a0-496d-9b93-0a15da43ae70",
   "metadata": {},
   "outputs": [],
   "source": [
    "def trace_prenom_genre(prenom, genre):\n",
    "    selection = df.loc[(df[\"name\"]==prenom) & (df[\"gender\"]==genre)]\n",
    "    selection.plot.line(x=\"year\", y=\"births\", title=f\"Naissances de {prenom} ({genre}) dans le temps\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "08b71b23-5c69-4917-904f-4dbe0ea93354",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace_prenom_genre(\"Elisabeth\", \"F\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b93a6dbf-1912-476c-9b71-6b9c91ebcaad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tab = df.pivot_table(index=\"year\",\n",
    "                     columns=\"gender\",\n",
    "                     values=\"births\",\n",
    "                     aggfunc=\"sum\")\n",
    "tab.plot.line();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a9f0e668-a20f-4df2-9514-e7ec5e58ddba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tab = df.pivot_table(index=\"year\",\n",
    "                     columns=\"gender\",\n",
    "                     values=\"name\",\n",
    "                     aggfunc=\"count\")\n",
    "tab.plot.line();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f3e599d4-aa87-4005-96f1-14f641855c50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99693"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"births\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4ea98d27-a5c3-4ca6-b5fe-14d0e91c8a3f",
   "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>year</th>\n",
       "      <th>name</th>\n",
       "      <th>gender</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>431064</th>\n",
       "      <td>1947</td>\n",
       "      <td>Linda</td>\n",
       "      <td>F</td>\n",
       "      <td>99693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441435</th>\n",
       "      <td>1948</td>\n",
       "      <td>Linda</td>\n",
       "      <td>F</td>\n",
       "      <td>96215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437168</th>\n",
       "      <td>1947</td>\n",
       "      <td>James</td>\n",
       "      <td>M</td>\n",
       "      <td>94761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544677</th>\n",
       "      <td>1957</td>\n",
       "      <td>Michael</td>\n",
       "      <td>M</td>\n",
       "      <td>92777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437169</th>\n",
       "      <td>1947</td>\n",
       "      <td>Robert</td>\n",
       "      <td>M</td>\n",
       "      <td>91654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451675</th>\n",
       "      <td>1949</td>\n",
       "      <td>Linda</td>\n",
       "      <td>F</td>\n",
       "      <td>91017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533208</th>\n",
       "      <td>1956</td>\n",
       "      <td>Michael</td>\n",
       "      <td>M</td>\n",
       "      <td>90693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556264</th>\n",
       "      <td>1958</td>\n",
       "      <td>Michael</td>\n",
       "      <td>M</td>\n",
       "      <td>90614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447476</th>\n",
       "      <td>1948</td>\n",
       "      <td>James</td>\n",
       "      <td>M</td>\n",
       "      <td>88604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510826</th>\n",
       "      <td>1954</td>\n",
       "      <td>Michael</td>\n",
       "      <td>M</td>\n",
       "      <td>88563</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        year     name gender  births\n",
       "431064  1947    Linda      F   99693\n",
       "441435  1948    Linda      F   96215\n",
       "437168  1947    James      M   94761\n",
       "544677  1957  Michael      M   92777\n",
       "437169  1947   Robert      M   91654\n",
       "451675  1949    Linda      F   91017\n",
       "533208  1956  Michael      M   90693\n",
       "556264  1958  Michael      M   90614\n",
       "447476  1948    James      M   88604\n",
       "510826  1954  Michael      M   88563"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(10, \"births\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "10b3a848-db66-41b5-b778-4b376fbc6424",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace_prenom_genre(\"Linda\", \"F\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8bce1ecf-487c-4efb-ad8d-d5ff6c0534a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAigAAAHHCAYAAACV96NPAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACH/klEQVR4nO3dd3xT9foH8E9Wk+7STelgj7KHQsWBgCDiQFDABXi5LkBF7tUrV64C6uXiAMcFcf1ARa/iQBGRPRxsBGSWVSi0dNE9kmac3x/JOUnapG06aE/yeb9efWmTk5PzTUP69Pk+3+erEARBABEREVELomzuCyAiIiKqigEKERERtTgMUIiIiKjFYYBCRERELQ4DFCIiImpxGKAQERFRi8MAhYiIiFocBihERETU4jBAISIiohaHAQo1myFDhmDIkCHNfRmy11yv4/bt26FQKLB9+3aPH9vY17x37174+fnhwoULDT7XsmXLkJiYCIPB0KDztOT399y5c6FQKJr7MohqxACFarRixQooFArodDpkZGRUu3/IkCHo0aNHM1wZNZUpU6ZAoVC4/NLpdM19eS698MILuO+++5CUlCTdNmTIECgUCnTq1MnlYzZt2iSN65tvvpFunzJlCiorK/H+++83+XV7i507d2Lu3LkoLCxs7kshL6Ju7gsgeTAYDPjPf/6Dd999t9HOuXHjxkY7FzUurVaLjz76qNrtKpWqUc7fmD/7Q4cOYfPmzdi5c2e1+3Q6Hc6cOYO9e/fi2muvdbrv888/h06ng16vr/aYyZMnY9GiRXjyySeZaaiDnTt3Yt68eZgyZQrCwsKa+3LISzBAoTrp06cPPvzwQ8yePRtxcXGNck4/P79GOQ81PrVajQcffLDJzt+YP/vly5cjMTERgwYNqnZfhw4dYDKZ8L///c8pQNHr9Vi9ejVGjx6Nb7/9ttrjxo8fj9deew3btm3D0KFDG+1aiajuOMVDdfLPf/4TZrMZ//nPf2o9dvny5Rg6dCiio6Oh1WqRnJyM9957r9pxrubo3333XXTv3h0BAQFo1aoVBgwYgC+++EK6v6SkBDNnzkTbtm2h1WoRHR2NW265BX/88Yd0zK+//op7770XiYmJ0Gq1SEhIwDPPPIOKigqn55oyZQqCgoKQkZGBMWPGICgoCFFRUfj73/8Os9nsdKzFYsHbb7+Nnj17QqfTISoqCrfeeiv279/vdNzKlSvRv39/+Pv7Izw8HBMnTsTFixedjjl9+jTGjRuH2NhY6HQ6xMfHY+LEiSgqKqr1tf3ggw/QoUMH+Pv749prr8Wvv/7q8jiDwYCXXnoJHTt2lF6D5557rsF1FTWZMWMGgoKCUF5eXu2+++67D7GxsdLrWp+fvTvff/89hg4d6jbTcd999+Grr76CxWKRbvvxxx9RXl6O8ePHu3xM//79ER4ejh9++KHW5wfq9nOprKzEiy++iP79+yM0NBSBgYG44YYbsG3bNqfjzp8/D4VCgTfeeEM6r1arxTXXXIN9+/Y5HZuVlYWHH34Y8fHx0Gq1aN26Ne666y6cP3++TtddVV3ev1XNnTsXzz77LACgXbt20rSZ4zXU5bzidPGff/6Jm266CQEBAejYsaM0/bZjxw4MHDgQ/v7+6NKlCzZv3lztOhQKBU6ePInx48cjJCQEERERePrpp6tlyTZt2oTrr78eYWFhCAoKQpcuXfDPf/6zXq8ZNR0GKFQn7dq1w6RJk/Dhhx8iMzOzxmPfe+89JCUl4Z///CfefPNNJCQkYNq0aViyZEmNj/vwww/x1FNPITk5GW+99RbmzZuHPn36YM+ePdIxjz/+ON577z2MGzcOS5cuxd///nf4+/vjxIkT0jFff/01ysvL8cQTT+Ddd9/FyJEj8e6772LSpEnVntNsNmPkyJGIiIjAG2+8gZtuuglvvvkmPvjgA6fjpk6dipkzZyIhIQELFy7E888/D51Oh927d0vHvPrqq5g0aRI6deqERYsWYebMmdiyZQtuvPFGaW6+srISI0eOxO7du/Hkk09iyZIlePTRR3Hu3Lla5+8//vhjPPbYY4iNjcVrr72GwYMH484776z2QW+xWHDnnXfijTfewB133IF3330XY8aMweLFizFhwoQan8NRXl5eta/i4mK3x0+YMAFlZWX46aefnG4vLy/Hjz/+iHvuucftFFFdfvauZGRkID09Hf369XN7zP3334/Lly87FfN+8cUXGDZsGKKjo90+rl+/fvj9999rfH6g7j+X4uJifPTRRxgyZAgWLlyIuXPnIjc3FyNHjsShQ4eqnfeLL77A66+/jsceewyvvPIKzp8/j7Fjx8JoNErHjBs3DqtXr8bDDz+MpUuX4qmnnkJJSQnS09Nrve6q6vL+dWXs2LG47777AACLFy/GZ599hs8++wxRUVEen7egoAC33347Bg4ciNdeew1arRYTJ07EV199hYkTJ+K2227Df/7zH5SVleGee+5BSUlJtesZP3489Ho9FixYgNtuuw3vvPMOHn30Uen+Y8eO4fbbb4fBYMD8+fPx5ptv4s4776zTz5quMoGoBsuXLxcACPv27RPOnj0rqNVq4amnnpLuv+mmm4Tu3bs7Paa8vLzaeUaOHCm0b9/e6babbrpJuOmmm6Tv77rrrmrnqio0NFSYPn16jce4ev4FCxYICoVCuHDhgnTb5MmTBQDC/PnznY7t27ev0L9/f+n7rVu3CgCcxi2yWCyCIAjC+fPnBZVKJbz66qtO9x85ckRQq9XS7QcPHhQACF9//XWNY6iqsrJSiI6OFvr06SMYDAbp9g8++EAA4PQ6fvbZZ4JSqRR+/fVXp3MsW7ZMACD8/vvvNT6X+Lq4+ho5cqR03LZt2wQAwrZt26TXok2bNsK4ceOczrdq1SoBgPDLL79It9XnZ+/K5s2bBQDCjz/+WO0+x/fmgAEDhKlTpwqCIAgFBQWCn5+f8Mknn0hjcPXzePTRRwV/f/8an9+Tn4vJZHI6RryWmJgY4S9/+Yt0W1pamgBAiIiIEPLz86Xbf/jhB6exFhQUCACE119/vcZrdOWll14SHD/+6/r+def1118XAAhpaWlOt3ty3ptuukkAIHzxxRfSbSdPnhQACEqlUti9e7d0+4YNGwQAwvLly6uN6c4773R6rmnTpgkAhMOHDwuCIAiLFy8WAAi5ubk1jomaHzMoVGft27fHQw89hA8++ACXL192e5y/v7/0/0VFRcjLy8NNN92Ec+fO1TiNERYWhkuXLlVLY1c9Zs+ePTVmcRyfv6ysDHl5ebjuuusgCAIOHjxY7fjHH3/c6fsbbrgB586dk77/9ttvoVAo8NJLL1V7rDit8N1338FisWD8+PFOGYfY2Fh06tRJSuOHhoYCADZs2OByKsSd/fv3IycnB48//rhT/caUKVOkc4q+/vprdOvWDV27dnW6FrGWouqUgis6nQ6bNm2q9lXTFJ9CocC9996LdevWobS0VLr9q6++Qps2bXD99de7fWxdfvauXLlyBQDQqlWrGo+7//778d1336GyshLffPMNVCoV7r777hof06pVK1RUVNT4c/Lk56JSqaRjLBYL8vPzYTKZMGDAAKcpStGECROcxnXDDTcAgPTe9Pf3h5+fH7Zv346CgoIax1Kbur5/m/q8QUFBmDhxovR9ly5dEBYWhm7dumHgwIHS7eL/O/47FU2fPt3p+yeffBIAsG7dOgCQinh/+OEHp2k/ankYoJBH5syZA5PJVOMvqt9//x3Dhw9HYGAgwsLCEBUVJc3v1hSg/OMf/0BQUBCuvfZadOrUCdOnT6+Wdn3ttddw9OhRJCQk4Nprr8XcuXOrfUilp6djypQpCA8Pl+pKbrrpJpfPL9aTOGrVqpXTB/7Zs2cRFxeH8PBwt9d++vRpCIKATp06ISoqyunrxIkTyMnJAWCdKps1axY++ugjREZGYuTIkViyZEmt9Sdif4+qS2Y1Gg3at29f7VqOHTtW7To6d+4MANK11ESlUmH48OHVvvr06VPj4yZMmICKigqsWbMGAFBaWop169bh3nvvrXE1TF1+9jURBKHG+8Uan59//hmff/45br/9dgQHB9fpnDVdtyc/FwD45JNP0KtXL+h0OkRERCAqKgo//fSTy59/YmKi0/disCK+N7VaLRYuXIiff/4ZMTExuPHGG/Haa68hKyurxnG5Utf3b1OfNz4+vtrrHRoaioSEhGq3AXAZmFX9WXTo0AFKpVKqiZkwYQIGDx6Mv/71r4iJicHEiROxatUqBistEFfxkEfat2+PBx98EB988AGef/75avefPXsWw4YNQ9euXbFo0SIkJCTAz88P69atw+LFi2v8EOjWrRtSU1Oxdu1arF+/Ht9++y2WLl2KF198EfPmzQNgnV++4YYbsHr1amzcuBGvv/46Fi5ciO+++w6jRo2C2WzGLbfcgvz8fPzjH/9A165dERgYiIyMDEyZMqXa8zfWslmLxQKFQoGff/7Z5TmDgoKk/3/zzTcxZcoU/PDDD9i4cSOeeuopLFiwALt370Z8fHyjXEvPnj2xaNEil/dX/bBvTIMGDULbtm2xatUq3H///fjxxx9RUVFRa+1LXX72rkRERABw/YvKUevWrTFkyBC8+eab+P33312u3KmqoKAAAQEBThm5hli5ciWmTJmCMWPG4Nlnn0V0dDRUKhUWLFiAs2fPVjve3XvTMRibOXMm7rjjDnz//ffYsGED/vWvf2HBggXYunUr+vbtW+dr8+T96wlPz+tuzHV5LdypGvD4+/vjl19+wbZt2/DTTz9h/fr1+OqrrzB06FBs3Lix0T4TqOEYoJDH5syZg5UrV2LhwoXV7vvxxx9hMBiwZs0ap78A65oiDgwMxIQJEzBhwgRUVlZi7NixePXVVzF79mypSVjr1q0xbdo0TJs2DTk5OejXrx9effVVjBo1CkeOHMGpU6fwySefOBXFbtq0qd7j7dChAzZs2ID8/Hy3WZQOHTpAEAS0a9dOylTUpGfPnujZsyfmzJmDnTt3YvDgwVi2bBleeeUVl8eLDchOnz7ttOzVaDQiLS0NvXv3drqWw4cPY9iwYc3Sw2P8+PF4++23UVxcjK+++gpt27Z1uQS4qrr87Kvq2rUrACAtLa3W899///3461//irCwMNx22221Hp+WloZu3brVeIwnP5dvvvkG7du3x3fffef0c3E1deiJDh064G9/+xv+9re/4fTp0+jTpw/efPNNrFy50qNzePL+rcrd+6yh562P06dPo127dtL3Z86cgcViQdu2baXblEolhg0bhmHDhmHRokX497//jRdeeAHbtm3D8OHDr8p1Uu04xUMe69ChAx588EG8//771dLJ4l8fjn/ZFBUVYfny5bWeV6wnEPn5+SE5ORmCIMBoNMJsNldLhUdHRyMuLk5aPuvq+QVBwNtvv+3BCJ2NGzcOgiC4/EtefJ6xY8dCpVJh3rx51f6qEwRBGltxcTFMJpPT/T179oRSqaxxCfCAAQMQFRWFZcuWobKyUrp9xYoV1VZCjB8/HhkZGfjwww+rnaeiogJlZWU1D7iBJkyYAIPBgE8++QTr1693u5TXUW0/e3fatGmDhISEasu9Xbnnnnvw0ksvYenSpXXqw/LHH3/guuuuq/EYT34urt6be/bswa5du2q9FlfKy8urLZ/t0KEDgoODPV5OXtf3rzuBgYEAUG3MDT1vfVRdLSg2lxw1ahQAID8/v9pjxKnLplyGT55jBoXq5YUXXsBnn32G1NRUdO/eXbp9xIgR8PPzwx133IHHHnsMpaWl+PDDDxEdHV1jYa342NjYWAwePBgxMTE4ceIE/vvf/2L06NEIDg5GYWEh4uPjcc8996B3794ICgrC5s2bsW/fPrz55psArH9Rd+jQAX//+9+RkZGBkJAQfPvttw0qIrz55pvx0EMP4Z133sHp06dx6623wmKx4Ndff8XNN9+MGTNmoEOHDnjllVcwe/ZsnD9/HmPGjEFwcDDS0tKwevVqPProo/j73/+OrVu3YsaMGbj33nvRuXNnmEwmfPbZZ1CpVBg3bpzba9BoNHjllVfw2GOPYejQoZgwYQLS0tKwfPnyarUODz30EFatWoXHH38c27Ztw+DBg2E2m3Hy5EmsWrUKGzZswIABA2ocs8lkcvsX+N133y39QnKlX79+6NixI1544QUYDIY6LW2u7Wdfk7vuugurV6+GIAg1ZoxCQ0Mxd+7cWq8FAA4cOID8/HzcddddNR7nyc/l9ttvx3fffYe7774bo0ePRlpaGpYtW4bk5GSnouK6OnXqFIYNG4bx48cjOTkZarUaq1evRnZ2tlOhaV3U9f3rTv/+/QFYPxcmTpwIjUaDO+64o8HnrY+0tDTceeeduPXWW7Fr1y6sXLkS999/v5TNmj9/Pn755ReMHj0aSUlJyMnJwdKlSxEfH19jITc1g6u1XIjkyXGZcVXictSqy0PXrFkj9OrVS9DpdELbtm2FhQsXCv/3f/9XbRli1aWm77//vnDjjTcKERERglarFTp06CA8++yzQlFRkSAIgmAwGIRnn31W6N27txAcHCwEBgYKvXv3FpYuXer0/MePHxeGDx8uBAUFCZGRkcIjjzwiHD58uNqyxMmTJwuBgYHVxlV1CaYgWJeIvv7660LXrl0FPz8/ISoqShg1apRw4MABp+O+/fZb4frrrxcCAwOFwMBAoWvXrsL06dOF1NRUQRAE4dy5c8Jf/vIXoUOHDoJOpxPCw8OFm2++Wdi8ebP7H4KDpUuXCu3atRO0Wq0wYMAA4Zdffqn2OgqCdfnrwoULhe7duwtarVZo1aqV0L9/f2HevHnS6+lOTcuMHX+GVZcZO3rhhRcEAELHjh1dPoenP/ua/PHHHwKAasuqXS2Br8rdMuN//OMfQmJiorSMvDZ1+blYLBbh3//+t5CUlCRotVqhb9++wtq1a4XJkycLSUlJ0nHiMmNXy4cBCC+99JIgCIKQl5cnTJ8+XejatasQGBgohIaGCgMHDhRWrVpV6/W6eo8LQu3v35q8/PLLQps2bQSlUlnt33pdzuvu55WUlCSMHj3a5Wvh2HJAHNPx48eFe+65RwgODhZatWolzJgxQ6ioqJCO27Jli3DXXXcJcXFxgp+fnxAXFyfcd999wqlTp2odI11dCkGoQ5UREVELNmzYMMTFxeGzzz5r8LkMBgPatm2L559/Hk8//XQjXB1dDXPnzsW8efOQm5uLyMjI5r4cagSsQSEi2fv3v/+Nr776Slr22xDLly+HRqOp1h+HiK4uBihEJHsDBw5EZWWltKqmIR5//HGkp6dDq9U2wpURUX0xQCEiIqIWhzUoRERE1OIwg0JEREQtDgMUIiIianFk2ajNYrEgMzMTwcHBzdLKm4iIiDwnCAJKSkoQFxcHpbLmHIksA5TMzMwm3fCMiIiIms7Fixdr3RxVlgGK2Pr64sWLCAkJaearISIiorooLi5GQkJCrVtYADINUMRpnZCQEAYoREREMlOX8gwWyRIREVGLwwCFiIiIWhwGKERERNTiyLIGhYiIqCHMZjOMRmNzX4bX0Wg0UKlUjXIuBihEROQzBEFAVlYWCgsLm/tSvFZYWBhiY2Mb3KeMAQoREfkMMTiJjo5GQEAAm302IkEQUF5ejpycHABA69atG3Q+BihEROQTzGazFJxEREQ09+V4JX9/fwBATk4OoqOjGzTdwyJZIiLyCWLNSUBAQDNfiXcTX9+G1vgwQCEiIp/CaZ2m1VivLwMUIiIianEYoBAREbVwQ4YMwcyZM93e37ZtW7z11ltNcu7mwiJZIiIimdu3bx8CAwNrPGb79u24+eabUVBQgLCwsKtzYQ3gcQYlIyMDDz74ICIiIuDv74+ePXti//790v2CIODFF19E69at4e/vj+HDh+P06dNO58jPz8cDDzyAkJAQhIWFYerUqSgtLW34aIjI51WaLDCZLc19GURXVVRUVI3Fv3JsSudRgFJQUIDBgwdDo9Hg559/xvHjx/Hmm2+iVatW0jGvvfYa3nnnHSxbtgx79uxBYGAgRo4cCb1eLx3zwAMP4NixY9i0aRPWrl2LX375BY8++mjjjYqIfJLJbMHIt37Bnf/9HYIgNPflEDUqk8mEGTNmIDQ0FJGRkfjXv/4lvc+rTvEoFAq89957uPPOOxEYGIhHHnkEN998MwCgVatWUCgUmDJlinS8xWLBc889h/DwcMTGxmLu3LnSfYIgYO7cuUhMTIRWq0VcXByeeuqpJh+vR1M8CxcuREJCApYvXy7d1q5dO+n/BUHAW2+9hTlz5uCuu+4CAHz66aeIiYnB999/j4kTJ+LEiRNYv3499u3bhwEDBgAA3n33Xdx222144403EBcX1xjjIiIfVFhhRFpeGQCg0myBVt04LbfJewmCgAqjuVme21+j8mjFyyeffIKpU6di79692L9/Px599FEkJibikUcecXn83Llz8Z///AdvvfUWVCoV7rzzTowbNw6pqakICQmRepaI5541axb27NmDXbt2YcqUKRg8eDBuueUWfPvtt1i8eDG+/PJLdO/eHVlZWTh8+HCDx18bjwKUNWvWYOTIkbj33nuxY8cOtGnTBtOmTZNenLS0NGRlZWH48OHSY0JDQzFw4EDs2rULEydOxK5duxAWFiYFJwAwfPhwKJVK7NmzB3fffXcjDY2IfI3BZJ/aqTQxQKHaVRjNSH5xQ7M89/H5IxHgV/dfwwkJCVi8eDEUCgW6dOmCI0eOYPHixW4DlPvvvx8PP/yw9H1aWhoAIDo6uloNSq9evfDSSy8BADp16oT//ve/2LJlC2655Rakp6cjNjYWw4cPh0ajQWJiIq699loPR+s5j6Z4zp07h/feew+dOnXChg0b8MQTT+Cpp57CJ598AsDaQhgAYmJinB4XExMj3ZeVlYXo6Gin+9VqNcLDw6VjqjIYDCguLnb6IiKqyuDwl7DRzCke8i6DBg1yyrikpKTg9OnTMJtdZ4AcEwG16dWrl9P3rVu3llrW33vvvaioqED79u3xyCOPYPXq1TCZTPUYgWc8yqBYLBYMGDAA//73vwEAffv2xdGjR7Fs2TJMnjy5SS4QABYsWIB58+Y12fmJyDs4ZlCMLJSlOvDXqHB8/shme+6mVNuqHkcajcbpe4VCAYvF+m8oISEBqamp2Lx5MzZt2oRp06bh9ddfx44dO6o9rjF5lEFp3bo1kpOTnW7r1q0b0tPTAQCxsbEAgOzsbKdjsrOzpftiY2OlqExkMpmQn58vHVPV7NmzUVRUJH1dvHjRk8smIh9RWWWKh6g2CoUCAX7qZvnytOPqnj17nL7fvXs3OnXqVOf9bvz8/ADAbcalJv7+/rjjjjvwzjvvYPv27di1axeOHDni8Xk84VGAMnjwYKSmpjrddurUKSQlJQGwFszGxsZiy5Yt0v3FxcXYs2cPUlJSAFhTUoWFhThw4IB0zNatW2GxWDBw4ECXz6vVahESEuL0RURUlVMNCjMo5GXS09Mxa9YspKam4n//+x/effddPP3003V+fFJSEhQKBdauXYvc3Nw6t/dYsWIFPv74Yxw9ehTnzp3DypUr4e/vL/3ubyoeBSjPPPMMdu/ejX//+984c+YMvvjiC3zwwQeYPn06AGskOnPmTLzyyitYs2YNjhw5gkmTJiEuLg5jxowBYM243HrrrXjkkUewd+9e/P7775gxYwYmTpzIFTxE1CAGk2MNCgMU8i6TJk1CRUUFrr32WkyfPh1PP/20Ry062rRpg3nz5uH5559HTEwMZsyYUafHhYWF4cMPP8TgwYPRq1cvbN68GT/++GOT7witEDxsFrB27VrMnj0bp0+fRrt27TBr1iynCmJBEPDSSy/hgw8+QGFhIa6//nosXboUnTt3lo7Jz8/HjBkz8OOPP0KpVGLcuHF45513EBQUVKdrKC4uRmhoKIqKiphNISLJlhPZmPqJtXHkjzOuR8/40Ga+ImpJ9Ho90tLS0K5dO+h0uua+HK9V0+vsye9vj1vd33777bj99tvd3q9QKDB//nzMnz/f7THh4eH44osvPH1qIqIacYqHyHtws0Ai8hqc4iHyHgxQiMhrGIxcxUPkLRigEJHXcJzWYQaFSN4YoBCR13DMoDBAIXe4kWTTaqzXlwEKEXkNxxqUSra6pyrErqfl5eXNfCXeTXx9G9pl1uNVPERELRU7yVJNVCoVwsLCpG7mAQEBHndzJfcEQUB5eTlycnIQFhZW5w637jBAISKvwb14qDbilipVt1yhxhMWFuZ26xpPMEAhIq/BAIVqo1Ao0Lp1a0RHR8NoNDb35XgdjUbT4MyJiAEKEXkNpxoUTvFQDVQqVaP9IqWmwSJZIvIa7CRL5D0YoBCR13Ca4jFxFQ+RnDFAISKvwT4oRN6DAQoReQ12kiXyHgxQiMhrGIyOjdoYoBDJGQMUIvIaBjZqI/IaDFCIyGuwDwqR92CAQkReo9KhD4qRe/EQyRoDFCLyGuyDQuQ9GKAQkddgDQqR92CAQkRew3EVD2tQiOSNAQoReQ32QSHyHgxQiMgrCILAVvdEXoQBChF5BaNZgOAQkxiYQSGSNQYoROQVqq7aMbJIlkjWGKAQkVdwLJAFWINCJHcMUIjIKxiqZEwYoBDJGwMUIvIK1QMUFskSyRkDFCLyClUbs1UNWIhIXhigEJFXMJhYg0LkTRigEJFXEDMmaqUCAAMUIrljgEJEXkGc4gnSqQEwQCGSOwYoROQVxCmeQD8xQBFgsbBQlkiuGKAQkVcwGK0Zk2BbBgUAjBZmUYjkigEKEXkFsQYlSOsQoHCpMZFsMUAhIq9QtQYFYLt7IjljgEJEXkGsQfHXqKCyreSpuj8PEckHAxQi8griFI9WrYRGZQtQmEEhki0GKETkFewBigoalfWjjUuNieSLAQoReQUxQPFTK6FViwEKi2SJ5IoBChF5BbEGxTrFwwwKkdwxQCEiryD2QdFq7AEKNwwkki8GKETkFcQVO9YaFO7HQyR3DFCIyCuIGRQ/TvEQeQUGKETkFRxrUOxFsgxQiOSKAQoReQVXy4zZB4VIvjwKUObOnQuFQuH01bVrV+l+vV6P6dOnIyIiAkFBQRg3bhyys7OdzpGeno7Ro0cjICAA0dHRePbZZ2EymRpnNETksyqdGrXZAhQuMyaSLXXthzjr3r07Nm/ebD+B2n6KZ555Bj/99BO+/vprhIaGYsaMGRg7dix+//13AIDZbMbo0aMRGxuLnTt34vLly5g0aRI0Gg3+/e9/N8JwiMhXiVM8fmolNOIUDzMoRLLlcYCiVqsRGxtb7faioiJ8/PHH+OKLLzB06FAAwPLly9GtWzfs3r0bgwYNwsaNG3H8+HFs3rwZMTEx6NOnD15++WX84x//wNy5c+Hn59fwERGRT3Jsde/HIlki2fO4BuX06dOIi4tD+/bt8cADDyA9PR0AcODAARiNRgwfPlw6tmvXrkhMTMSuXbsAALt27ULPnj0RExMjHTNy5EgUFxfj2LFjDR0LEfkwaYpHo4KfmpsFEsmdRxmUgQMHYsWKFejSpQsuX76MefPm4YYbbsDRo0eRlZUFPz8/hIWFOT0mJiYGWVlZAICsrCyn4ES8X7zPHYPBAIPBIH1fXFzsyWUTkQ+QWt2rlCySJfICHgUoo0aNkv6/V69eGDhwIJKSkrBq1Sr4+/s3+sWJFixYgHnz5jXZ+YlI/qRlxhrHPigskiWSqwYtMw4LC0Pnzp1x5swZxMbGorKyEoWFhU7HZGdnSzUrsbGx1Vb1iN+7qmsRzZ49G0VFRdLXxYsXG3LZROSFpFb3aiX82AeFSPYaFKCUlpbi7NmzaN26Nfr37w+NRoMtW7ZI96empiI9PR0pKSkAgJSUFBw5cgQ5OTnSMZs2bUJISAiSk5PdPo9Wq0VISIjTFxGRI8dW9yySJZI/j6Z4/v73v+OOO+5AUlISMjMz8dJLL0GlUuG+++5DaGgopk6dilmzZiE8PBwhISF48sknkZKSgkGDBgEARowYgeTkZDz00EN47bXXkJWVhTlz5mD69OnQarVNMkAi8g2OGRRxLx7WoBDJl0cByqVLl3DffffhypUriIqKwvXXX4/du3cjKioKALB48WIolUqMGzcOBoMBI0eOxNKlS6XHq1QqrF27Fk888QRSUlIQGBiIyZMnY/78+Y07KiLyKYIgOLW6tzdqY4BCJFceBShffvlljffrdDosWbIES5YscXtMUlIS1q1b58nTEhHVyGQRYLHVwzq2uucUD5F8cS8eIpI9x6kcrcahSNbEVTxEcsUAhYhkz+AQoPip7J1kOcVDJF8MUIhI9sT6E41KAaVSYS+SZYBCJFsMUIhI9uw7GasAgJsFEnkBBihEJHtSm3tbYMI+KETyxwCFiGTPsQcKYA9UOMVDJF8MUIhI9hx7oACwLzPmKh4i2WKAQkSyV60Ghat4iGSPAQoRyV61GhRuFkgkewxQiEj2qk/xcC8eIrljgEJEsidmULQaruIh8hYMUIhI9qQpHlWVIlkzi2SJ5IoBChHJnoFFskRehwEKEcmewWirQdGwSJbIWzBAISLZEzMl2iqdZFkkSyRfDFCISPbETrJi5kSjtq7iYQaFSL4YoBCR7LmrQTGaBQgCC2WJ5IgBChHJXtU+KGImBeBKHiK5YoBCRLJXtdW9WIMCcCUPkVwxQCEi2ava6l7jEKAYWShLJEsMUIhI9uw1KNaPNJVSAaW1TpaFskQyxQCFiGSv0uTcBwWwZ1M4xUMkTwxQiEj2qra6Bxy6yXKKh0iWGKAQkeyJfVC0GpV0mx/34yGSNQYoRCR7VZcZA469UJhBIZIjBihEJHtVW90DrEEhkjsGKEQke1Vb3QOARmVrd88aFCJZYoBCRLJXtdU94FAkywwKkSwxQCEi2as0uZ/iYQ0KkTwxQCEi2ROLZHUaV8uMuYqHSI4YoBCR7Nn7oLhaZswMCpEcMUAhItmTalAcMyhqNmojkjMGKEQkayazBWaLdRrHqQZFXMXDDAqRLDFAISJZc1yl48dGbURegwEKEcma2AMFcN6Lx96ojUWyRHLEAIWIZE2sP1ErFVBzs0Air8EAhYhkzVUPFIBTPERyxwCFiGRN7IHiVyVAYZEskbwxQCEiWXPV5h7gZoFEcscAhYhkzVUPFMBhioedZIlkiQEKEcmaWIOiUbkOUCrN5qt+TUTUcAxQiEjWxCZtaqXC6XZps0BmUIhkiQEKEcmayWJbZqxyDlA0LJIlkjUGKEQka2IGRaWsuoqHRbJEcsYAhYhkzeRmioebBRLJW4MClP/85z9QKBSYOXOmdJter8f06dMRERGBoKAgjBs3DtnZ2U6PS09Px+jRoxEQEIDo6Gg8++yzMJlMDbkUIvJR9gxK1SkeNmojkrN6Byj79u3D+++/j169ejnd/swzz+DHH3/E119/jR07diAzMxNjx46V7jebzRg9ejQqKyuxc+dOfPLJJ1ixYgVefPHF+o+CiHyWGIBUK5KVAhQWyRLJUb0ClNLSUjzwwAP48MMP0apVK+n2oqIifPzxx1i0aBGGDh2K/v37Y/ny5di5cyd2794NANi4cSOOHz+OlStXok+fPhg1ahRefvllLFmyBJWVlY0zKiLyGe4yKGzURiRv9QpQpk+fjtGjR2P48OFOtx84cABGo9Hp9q5duyIxMRG7du0CAOzatQs9e/ZETEyMdMzIkSNRXFyMY8eO1edyiMiHiTUobvugsAaFSJbUnj7gyy+/xB9//IF9+/ZVuy8rKwt+fn4ICwtzuj0mJgZZWVnSMY7BiXi/eJ8rBoMBBoNB+r64uNjTyyYiL+W+BoXLjInkzKMMysWLF/H000/j888/h06na6prqmbBggUIDQ2VvhISEq7acxNRy+ZuFY8fi2SJZM2jAOXAgQPIyclBv379oFaroVarsWPHDrzzzjtQq9WIiYlBZWUlCgsLnR6XnZ2N2NhYAEBsbGy1VT3i9+IxVc2ePRtFRUXS18WLFz25bCLyYmZbAOKuBoVFskTy5FGAMmzYMBw5cgSHDh2SvgYMGIAHHnhA+n+NRoMtW7ZIj0lNTUV6ejpSUlIAACkpKThy5AhycnKkYzZt2oSQkBAkJye7fF6tVouQkBCnLyIioIY+KKxBIZI1j2pQgoOD0aNHD6fbAgMDERERId0+depUzJo1C+Hh4QgJCcGTTz6JlJQUDBo0CAAwYsQIJCcn46GHHsJrr72GrKwszJkzB9OnT4dWq22kYRGRr3DXSVbDTrJEsuZxkWxtFi9eDKVSiXHjxsFgMGDkyJFYunSpdL9KpcLatWvxxBNPICUlBYGBgZg8eTLmz5/f2JdCRD7AbQ2KmkWyRHLW4ABl+/btTt/rdDosWbIES5YscfuYpKQkrFu3rqFPTUQEk63GRFVts0BxN2MGKERyxL14iEjWzLbdjDUskiXyKgxQiEjWTHWoQREEBilEcsMAhYhkTSySVbuZ4gGYRSGSIwYoRCRrJnd78TgFKKxDIZIbBihEJGtmt6t4GKAQyRkDFCKSNZPFdSdZlVIB8SY2ayOSHwYoRCRr4jLjqhkUgM3aiOSMAQoRyZq7VTyA44aBLJIlkhsGKEQka2INikZVPYNi74XCDAqR3DBAISJZc7eKB7AHKHqj+apeExE1HAMUIpI1sZOsqxqUQK11N48yAwMUIrlhgEJEsibtxeOiBiXIFqCUGkxX9ZqIqOEYoBCRrLnrgwI4BijGq3pNLUFheSWe++Yw9qblN/elENVLg3czJiJqTjXVoNgDFN+b4vn5aBZW7b+EvNJKXNsuvLkvh8hjzKAQkayJjdqq7sUDAEE6W4Ci970pntwSAwBrJsXXZRZWYNW+izBxNZesMINCRLJmr0HhFI+jK6XWAKXYB4Ozqhb8fBI/Hs6ESqnAuP7xzX05VEfMoBCRrNlrUNwXyfriKp68MmvmpLjC94KzqnJL9ACAA+kFzXwl5AkGKEQka6aaimRtUzwlPphFsGdQGKCUV1oD1COXipr0eSoqzRAEdi1uLAxQiEjWxAyKykUNSqBPT/FYMyh6owUGk+9lkByV2ZaZn8wqbrLX4nxeGfq+vBH/XH2kSc7vixigEJGs1ZRBCfbhKZ4rZfbiWF/MIDmqsGVQjGYBp7JKm+Q5jmQUQW+0YOOxbGZRGgkDFCKSNbGTbE1FsiU+1qjNZLagwGH1jq/XoZRV2gPUPzMKm+Q5Cm2v8ZWySuTYVlBRwzBAISJZM9VQJCtN8fhYHUZBuRGOf8T7+kqe8kr7+JuqDqXIISA8ltm0tS6+ggEKEclaTcuMg3W+OcVzpcz5L3hfzqBUmiwwmu3R2p9NFaA4vMbHM4ub5Dl8DQMUIpK1urW6960MglggK/LllTwVlc7B6anskibZ3bqw3P4aH2OA0igYoBCRrNWpk6zBBIvFdwoX80qrZlB8K0BzVGab3tGoFIgI9IPJIuDE5cYPIAodMyhNcH5fxACFiGStLo3aAPsvKl/ADIqdWH8S4KdGz/hQANYVN43NcYrnwpVylPjwa95YGKAQkazVtFmgVq2Upn58qQ6FNSh2YpO2QD8VerWxBShNUIdSVO78Gp+4XNLoz+FrGKAQkayZze5rUBQKhcM0j+/8khYzKBrbtJcvZ1DEwDRAq0aPNk2XQSmssL7msSE6AMBxruRpMAYoRCRrNWVQACDQz/fa3efZApTE8AAAvl2DIk7xBPqp0Cs+DIC1ULZq8WxDiUWy13WIAMBC2cbAAIWIZE2qQXFRJAv45lJjcYqnXWQQAN/OoIhTPP5+KsSEaBEVrIVFAI5fbrwMh95ohsFkLdZOsQUoLJRtOAYoRCRrxho6yQKOS41955e0uIqnfVQgAN/KHlVlz6CooVAopDqUxuyHIhbIqpQKDGxnDVBOZ5ei0ha0UP0wQCEi2bJYBKljqqtVPIC9m6wv/ZIWa1DaRVoDFF8uknWsQQGAbq1DAACncxpvTx5xeifUX4OEcH8E69SoNFtwphGfwxcxQCEi2TI59DZxN8UTJE3x+EaAUl5pkqY1pADFp6d4bMuMNSoAQGyotYg1p1jfaM8hZlBC/TVQKBRItgVBnOZpGAYoRCRbZscAxc0UT7CPdZMVsyd+aiXiQv0B+HqRrJhBsQUotlU22cWNt6FfoW0fnlB/DQAgOc4aoHBPnoZhgEJEsiV2kQVqWMXjYzsaXymz/rKMDPSTfmFWGM0+Ww9h74NifR/ESAFK42VQxC6yYQHW17t7nLXOhXvyNAwDFCKSLecMiuuPM7FI1lemeK7YCmQjgrTS9BYAn+1sKv7c/f2sGZSYUC0AayGxydw4QZvYpC1MzKDYpnhOZrFZW0MwQCEi2XKsQXGTQJGWGZf6SJGsOMUTEeQHlVIhBWjFPjL+qsqN9k6yABARqIVKqYBFsPeLaSjHGhQAiAvTSbf7auaqMTBAISLZctzJWKGobZmxb/yCzrP1QIkItGYKQmwBmq+u5Cm3/dzFVTwqpQJRQdbXJquRpnnELrKhAX4AgBCdRgqYxfoU8hwDFCKSrdq6yAL2GhRfCVDEDEpkkO2Xpe2vel9dyVNWpQYFAGJCG7cOpbDKFI9SqZCyKQXlvvm6NwYGKEQkW2INgbsVPAAc9uLxlQBFrEGx/zUP+O5KHvtuxirptphgawalsZYaV53iAYBWgdbXP7+MGZT6YoBCRLJlktrcu/8ok5YZ+0gNhriKR5ri8RdrUHzzL3lpmbFDgCL2QnGc4rFYBLyy9ji+OXDJ4+coqrKKBwBa2aZ7OMVTf+raDyEiapkca1Dc8bUpnjyHIlnAMYPiowGKrZOs+D4AHJca23uhHMkowke/pSFYp8a4fm3c1jS5Ik3xOAUonOJpKGZQiEi2TObaa1B8rUhWnOKJDBIzKL5eg+K8zBgAom1TPI41KGJb+hK9ScpC1VXVRm0AEGbLoBQwg1JvDFCISLbqkkERlxnrjRYYG6nvRUtlsQhSzYM9gyKu4vGNAM2RIAiocFEkG+uiSPZsrn3fnAtXyur8HGaLIDUBDPX3k24XMyic4qk/BihEJFtiJ1mVm314AOfUvrc3ayvWG6W6nPBAruKpNFuk10NsdQ+4nuI5l2sPSs7nldf5OUr0RmnDStcZFN973RuLRwHKe++9h169eiEkJAQhISFISUnBzz//LN2v1+sxffp0REREICgoCOPGjUN2drbTOdLT0zF69GgEBAQgOjoazz77LEwm7/7QIKKmYc+guP8o06iU0Kqt93v7NI9YfxKsU0Ortv5C9uUaFLH+BLBvFgjYA5SiCiP0tkZu5/LsGZTzHmRQxPqTQD8V/NT29yGLZBvOowAlPj4e//nPf3DgwAHs378fQ4cOxV133YVjx44BAJ555hn8+OOP+Prrr7Fjxw5kZmZi7Nix0uPNZjNGjx6NyspK7Ny5E5988glWrFiBF198sXFHRUQ+oS59UACHbrJeHqBUrT8BHFfxePfYXRHrT/zUSqeVXiE6NXQa6/fZxXqYLYJT1uT8lbpnUFwtMQZYJNsYPApQ7rjjDtx2223o1KkTOnfujFdffRVBQUHYvXs3ioqK8PHHH2PRokUYOnQo+vfvj+XLl2Pnzp3YvXs3AGDjxo04fvw4Vq5ciT59+mDUqFF4+eWXsWTJElRWMsokIs+IRbI11aAADit5vPyXtH2Jsb0WwpczKPb6E5XT7QqFwmma51JBOSod6pM8qUERNwoUu8iKWCTbcPWuQTGbzfjyyy9RVlaGlJQUHDhwAEajEcOHD5eO6dq1KxITE7Fr1y4AwK5du9CzZ0/ExMRIx4wcORLFxcVSFoaIqK7EGhR1DTUogO+s5KnapA2w16CUeHlw5kqZ1AOlekcNMUDJKtZL9Sf+tmmgtLwyCIJQ7TGuiFM4YVUzKIFikazvBYaNxeM+KEeOHEFKSgr0ej2CgoKwevVqJCcn49ChQ/Dz80NYWJjT8TExMcjKygIAZGVlOQUn4v3ife4YDAYYDPZipuJibmFNRPYaFFUNNSiA7wQo9h4oDlM8Ot8tkpX24amSQQHsAUpOsR45tttSOkRg68kclOhNKCg3SoXGNSl2M8UT7lCDYrEIUNaS5aPqPM6gdOnSBYcOHcKePXvwxBNPYPLkyTh+/HhTXJtkwYIFCA0Nlb4SEhKa9PmISB5MdVhmDPjOjsZiPUQrh4ZhYg1KeaXZ65dZVyV1kdVW/1s8NsTeC+VcnjWDktw6BK1tS5DrWijrqkmb9XtrgGIRfDN71Rg8DlD8/PzQsWNH9O/fHwsWLEDv3r3x9ttvIzY2FpWVlSgsLHQ6Pjs7G7GxsQCA2NjYaqt6xO/FY1yZPXs2ioqKpK+LFy96etlE5IXMdSyS9ZVusmLNhb/DipUgh1/OvvaLUiySrVqDAjhO8Rhw1takrX1UINpGBAIAzufVMUCRalCcAxQ/tVJ63nzWodRLg/ugWCwWGAwG9O/fHxqNBlu2bJHuS01NRXp6OlJSUgAAKSkpOHLkCHJycqRjNm3ahJCQECQnJ7t9Dq1WKy1tFr+IiOqaQfGVKZ4K25JZnUOAolYppfH7WqGsq314RPYiWXsGpUNUENpGBgCo+0oe+07G1aeDWCjbMB7VoMyePRujRo1CYmIiSkpK8MUXX2D79u3YsGEDQkNDMXXqVMyaNQvh4eEICQnBk08+iZSUFAwaNAgAMGLECCQnJ+Ohhx7Ca6+9hqysLMyZMwfTp0+HVqut5dmJiJyZxUZttQUoPjLFI/b08K/yCzlEp0apweRzdSjldSiSPZdbKtXutI8KRJItg1LXlTzulhkD1kLZjMIK9kKpJ48ClJycHEyaNAmXL19GaGgoevXqhQ0bNuCWW24BACxevBhKpRLjxo2DwWDAyJEjsXTpUunxKpUKa9euxRNPPIGUlBQEBgZi8uTJmD9/fuOOioh8Ql2XGQfZfkGJKX9vJWVQ1FUCFH8NMov0PtfuXiySDdS6yqBY/ygWg5OoYC2CdRq0jbBlUOo4xVNUYVvFE+AiQBEzKGW+FRg2Fo8ClI8//rjG+3U6HZYsWYIlS5a4PSYpKQnr1q3z5GmJiFwy1XUVjy2D4u01GAajNaNUPYPimyt56rLMWNQ+0po5aWv7r+dTPNUDFE7xNAz34iEi2RIDFA37oABwrEFx/miXusn6XA2K+2XGOo3KaVqmQ3QQACAx3JpBKaow1mlqRpziCXE1xRPAXigNwQCFiGTLbK5jDYotQPH2zQJdFckCvptBqakGBQBiHbIoYgYlwE8tTf/UlkURBEFaxeNqiocZlIZhgEJEslXnVTw+MsUjFclWDVDEHY19rQal0n0NCgBEh9gXZ3SICpL+v65LjfVGCypN1iA5LKD6Kh5mUBqGAQoRyRY7yTrTu82giBsG+tYvyjKD64BN5FiH0j4qUPp/KUCxreQRBEHqMeOo0FYgq1IqXPZaETvRMoNSPwxQiEi22AfFmV4sknWbQfGtAEXaLNBFJ1nAPsXjp1IivlWAdHuSrRfKhSvlyC0xYOx7O9Hv5U24VOA85SPWn4T5a6BQVH8P2qd4fOt1bywMUIhItqQMSm1Fsjp7DUpdN4GTG0EQpBoU96t4vDtAq6qshiJZwL7UuG1kgFMdk5hBOZhegLHv/Y6D6YWoMJqx6+wVp8eLUzdVu8iK7FM8zKDUh8ebBRIRtRSeZlCMZgEGk6XaFIg3MJoFKWCr2gdF3IvI1zIotRXJXtsuAv4aFUYkO2+1Yp/icc6YnMoucfq+piXGgEMfFAYo9cIAhYhky1THVTyBDr+gSg0mrwxQ9CZ7jYTOr+oyY99cxVNWw27GANAlNhh/zh0Bjcr59UqKsE/39E4Iw/Cu0Xhz0ymkZpc6HeduJ2ORuLJHb7SgotJcLbNFNeMUDxHJllnqg1LzR5nSoYjRW5ca623ZAoXCWlPhSPxFeaXUt/6Sr60GBXD93gnUqvHsyC6YnJKE/z0yENd1jAAAnMpyzqCImwC6C1CCtGopu8csiueYQSEi2TLVcTdjwFqHUlZp9tqlxo4FslULNsUC0CtllT7zl7wgCDXuZlyb6Td3lP6/U0wwACCrWI+icqNUc3LicjEAoF1kUPUTAFAoFAgL8ENeqQEF5ZWIC/P3+Dp8GTMoRCRb5jrWoADev5Knwk0PFMD6F75Yh5JRWLcW7nJnMFlge3s0OCAL0WkQF2pd8XMqx55FOXSxEADQLynM7WPZC6X+GKAQkWyZ6ribMeD93WTddZEViVmUi/kVV+2amlO5Q98Sd0Wynugca82ipNqmea6UGnDBVkTbKz7M7eNYKFt/DFCISLY8yqDYMgje+pes3s0+PKL4Vtbphaq9PLyVGIjqNMo6BbC16WKb5hFX8ojZk47RQW5rUAB7/Q97oXiOAQoRyZbJXLdOsoC9lfmxzOImvabm4q4HiijBlkG5VOBbGZTGyJ4AQOcqAcrB9EIAQN+EsBofJ3aTLSxjBsVTDFCISLY8yaD0T2oFADiQXtCk19RcxFU8VXugiOwZFN8IUGpr0uapLg5TPIIg4OBF6/uob2KrGh/HbrL1xwCFiGTL6MEqnn62XyTHMoqk6RBvIvZBcZdBEQOUiz4yxSMtMW6kDErH6CAoFNZAI6fEgMMXiwAAfRPDanwcu8nWHwMUIpIts61IVlNLq3vA+gs6OlgLk0XAn5eKmvrSrrqKSutroXWbQfGtKR6xBqWxllTrNCqpw+y6I5dRajAhwE8lTf24wyLZ+mOAQkSy5UkNikKhsE/zXPC+aR59LTUo8eHWDEp+WaXXrmRyVC41aWu8ni+dY6x1TF/uvQgA6BUfWmv2jkWy9ccAhYhky5MaFABeHaDY+6C4/lgP0Wmk1Sa+kEVp7CJZwL6SJ9VWKFtb/QkAtApkBqW+GKAQkWx50kkWsAcof6QXeN2uxvpa+qAA8lpqfLmoAuuOXIbFUr+fU3kDusi6I/ZCEdW2ggew16AUcBWPxxigEJFsSRmUOtSgAED3uFD4qZXIL6ustlOt3Olr6CQrktNKnjmrj2La53/gtzN59Xp8mUGc8mr8DIqoTy0FsoB9FU+x3iRtbkl1wwCFiGTLk06yAOCnVqJ3fCgA75vmEad4tDUEKPZeKC0/OEu7UgYAuJBfv2ttigxK28hAqSDbWnStq/UxYQ5N3IoqWIfiCQYoRCRbntagAEA/L61Dcdws0B1pqbEM2t3nlRgAWFvK14dUg1LDTsae0qiUUsO/utSfAIBapZRqf/I5zeMRBihEJFtGD1bxiPonigFKfpNcU3OprUgWcFhq3MI3DNQbzSi27Tpd31/qjd2oTST2PUlpH1Hnx8SEaAEAOSX1C7Z8FQMUIpItT2tQAHsG5VR2qVel3KVOsjVlUMKbpwal0mTBpuPZKNbX7fW+4hCUXCmtX4BSbhAbtTVugPKPW7vivQf6YeI1CXV+TEyIdSoou1jfqNfi7RigEJFsmeoxxRMZpEXbCGsm4aAXtb2vrZMsYM+gFJYbUVLHYKExfPfHJTzy6X4s2niqTsfnOmQa8uo7xWNs/GXGgLXodVTP1lB68J6LCrZmULKLmUHxBAMUIpIts4dFsiIxiyJu+OYNKuqQQQnSqqVlr1czi3Iuz1rweuJy3TZqzHMIUOo7xVNuaJopnvpgBqV+GKAQkWzZMyiefZR1jLYWOsphuW1diUWyNQUoQPO0vBczIhfruCLHMWtypd41KI1fJFtfMcFiDQoDFE8wQCEi2TJ72KhN1DrU+hdtVrE3BSi190EBmqdZmxigXC7Ww2CqfaNGxymegvJK6efsiaZYZlxf9gwKp3g8wQCFiGRL3IvHkxoUAIgNsf6SvlzkPX/RVkidZGv+WE8It2ZQruZSYzHgEAQgs7D219wxgyIInreJLzWYpAxR6zB/jx7bFKI5xVMvDFCISLYanEEp0ntNy/uWnEFxnNpIr8M0T26VwlhPV/LsP58Ps0VAfCt/tGkBAYq0zLjY4DXvt6uBAQoRyZapHsuMASDWFqCUV9r7bchdRR324gGufrv7SpPFaSffugQoeSXOAYmnzdr2pFl73AxsV/deJU1JXMVTabagkLsa1xkDFCKSLbHVvadFsjqNSlrNkuUF0zyCINSjSPbqZFCulDkHF3UplBWneMS28p4Wyu45dwUAMLB9uEePaypatQrhtl2Ns1koW2cMUIhItsz1rEEBgNhQsQ5F/oWyBpN9E7qa+qAA1gyKQmHdvO5q1ETklngeoIiPEdvKe5JBKa804c9LRQA86/ba1KLZC8VjDFCISLZM9axBAZzrUORO7IECADp1zR/rAX5q9Iizbpj4ez13CvZE1QCltikevdGMElsPk8623YM9yaD8caEQJouAuFCdNJ3VErAXiucYoBCRbNWn1b1IrEPxhpU8YhdZjUoBtar2j/XrO0UCAH473fQBirj/TIKtzX76lfIaC0XFgMZPpUS7yEAAngUoe9LE6Z0IKBSevy+ailgo6xiw/XmpENM+P4DztkZ25IwBChHJlqmenWQBIDbE+zIotdWfiG7oaA1Qfj2T1+SrSsRfyP1smzSWGEw17oEk1p9EBvkhMshat+HJFM+ec2KBbMuoPxG5yqB8+Gsa1h3Jwlf7LzbXZbVoDFCISJYsFgFi/y5Pi2QBhwyKF6Tc61ogK+rfthV0GiVySwxIzS5pykuTApTE8ABpNUtNPVjybEuKo4K1iAiyHu+4zFhvNOOTnedd1rLojWYculgIwJpBaUnsNSj299vxTGutzIUrzKC4wgCFiGTJ7PCXf8NqUORfJFtRxx4oIq1ahWttS3CbeppHDFCigrVItDWJq6kORTw+MkiLCNvKF8f9eH44lIGX1hzDgp9PVHvswfRCVJotiAmxbwjZUkRX6SarN5qRZpvaScu7ej1p5IQBChHJkmP78/qs4mntTTUoHgYogMM0TxMHKGKTtug6BijiFI81g+LndBsAHM+0bjh4JKOo2mOl+pN2Lav+BLBP8eTYMiipWSVSBvDClTI2cHOBAQoRyZLRbF9aW78iWWvRZonehDKDvJu16evY5t6RWCi7J+1KnfbHqa9ch4Ajwbaqpu4ZFOu0SLHehErbUurTOaUArNNEpVV+brtbWP8TR1I32RIDLBYBJ7PsOzuXV5qrdc8lBihEJFPOGRTPP8qCtGoE23a6zZJ5HUpdu8g66hobjMggLfRGCw5cKGiS6xIEwT7FE6Rz2Aeo9gxKZJAfQv010vSduB/PGVuAAlizEKJKkwUH0wsBtJwOso4ig7RQKKxL4/PLK3HisnPtz3lO81TDAIWIZMnkEKDUY4YHgL1QVu4reTxdxQMACoUCNzTycuOzuaX4/mCGNF1RajBJBbyRwX7SFM/FGrrY2qd4dFAqFWgVYJ/mKaowSsuWAThlIY5fLobBZEF4oB86RAU2yngak0allDJC2cV6HL9c7HT/eRbKVsMAhYhkSeqBolTUu97AW3qh6G3TH57UoADA9bY6lN8aqWHbc9/8iZlfHcLOs9apFjF7EqRVI8BPjURb4WpGQQVMDlN0juxTPH5O/80vq3TKngDOGZSD6dYsUN+EsBZXfyISp3myi/U4YQtQ+idZl19zJU91DFCISJYa0kVW5C0refS2DEptbe6rEutQjmQUocDD/W5cOZdrDSDEKaMchxU8ABATrIOfSgmTRXAbFDouMwYgFcpeKa3EmRxrQCLGHyedApRCAECfhLAGj6OpiIWyB9MLUaI3Qa1UYFi3aACc4nHFowBlwYIFuOaaaxAcHIzo6GiMGTMGqampTsfo9XpMnz4dERERCAoKwrhx45Cdne10THp6OkaPHo2AgABER0fj2Wefhckk7yI1Irq6GrIPj8i+H4/MMyj1KJIFrL8w20cFQhCAP12sivFERaVZ2rVY3Asnt0qAolQqpPbzrupQKirNUuFrpO0x4bZpkbxSg5RBEZuwnbxcLE0nHbxoy6DYGsK1RGIGZXtqLgCgY3QQOkdb2/lziqc6j97NO3bswPTp07F7925s2rQJRqMRI0aMQFmZ/YV95pln8OOPP+Lrr7/Gjh07kJmZibFjx0r3m81mjB49GpWVldi5cyc++eQTrFixAi+++GLjjYqIvF5DusiKvKWbbH2KZEWdoq0b8onZj/py3HTxaIbrAAWAvVDWRR2KWH/ip1ZKBcyOvVDEFTwju8dCpVSgWG9CVrEeeaUGXMyvgEIB9EoIbdA4mlJ0sPX9Ji6R7tY6BG0jra/HhVq2APBFak8OXr9+vdP3K1asQHR0NA4cOIAbb7wRRUVF+Pjjj/HFF19g6NChAIDly5ejW7du2L17NwYNGoSNGzfi+PHj2Lx5M2JiYtCnTx+8/PLL+Mc//oG5c+fCz8+v8UZHRF7Lvg9P/WeqvaUXSkMClPZRQQCycbbBAYr9Ncwq1iOnWG9fYhxkD1Bq6oXieLxYRyIGKNYpHus1JrcOQYeoQJzKLsXJyyXSe6FTdBBCdJoGjaMpiVM8om6tgxHfKgAKhbWg+EpZJSIdXitf16AalKIiaxQYHm5Ntx04cABGoxHDhw+XjunatSsSExOxa9cuAMCuXbvQs2dPxMTESMeMHDkSxcXFOHbsWEMuh4h8iLFRpnhsGRSZLzMWV8p4WiQLAO1tG/Kdy63bFIPRbMFfVuzDa+tPOt2eWehcx3Mko8hNBkXshVK97kcqkHU4Xmx3f6mwHJcKrI/pFBOMLrEhAKx1KNL0TkLLnd4B7FM8om6tQ6DTqBBnm2rkpoHO6h2gWCwWzJw5E4MHD0aPHj0AAFlZWfDz80NYWJjTsTExMcjKypKOcQxOxPvF+1wxGAwoLi52+iIi3+a4iqe+xAxKflmlVMchR/XpJCvqIE3x1O2X4/HMYmw9mYMPfz3n1Iumahbqz0tF1YpkASAx3BoQ7UvLR2G5c2FunouMi1gk+8eFQgBAeKAfwgP90DXWWrtxMqtYKpDtmxhWpzE0F3GKR9TVFmSJ0zznr7BQ1lG9A5Tp06fj6NGj+PLLLxvzelxasGABQkNDpa+EhIQmf04iatmkGpR6dJEVhfprpMLSbBlnUepbJAsAHSKtAUpWsb5OHXUzbJkSo1lwypqINSjilIxjBiXaIUC5vlMk2oT5I6tYjyf/d9BpubE942Kf6hfPJ05jdbQFVGKAcjyzGIdtGwT2aeEBimMGJTJIKwVuSRHWoI1LjZ3VK0CZMWMG1q5di23btiE+Pl66PTY2FpWVlSgsLHQ6Pjs7G7GxsdIxVVf1iN+Lx1Q1e/ZsFBUVSV8XL3JraiJfZ8+g1H+mWqFQoLUXrORpSA1KaIBGCgLS6jDFkFFgD0ocV55kFlpfv1uSrRlxa4Bivc0xgxKkVeODSf3hr1Hh19N5eG2DfSWovYts9SkekRigdLEFKKdzSlFWaUagnwqdbCtiWqqIIK3UVLBba/u1trMFKHV5/X2JR/+yBUHAjBkzsHr1amzduhXt2rVzur9///7QaDTYsmWLdFtqairS09ORkpICAEhJScGRI0eQk5MjHbNp0yaEhIQgOTnZ5fNqtVqEhIQ4fRGRb2uMPiiAd6zkqahnHxRRe1vn1boUymYUOgYo9ikJMYMytGs0VEoFcksM1XqaiLrHheL1e3sBAD745Ry+3m/9ozOvpPrx4hSPSFx11CbMX1rpAwC9E8Ia/F5oaiqlQhpbcmv777GkCPtKHrLzKECZPn06Vq5ciS+++ALBwcHIyspCVlYWKiqsb8zQ0FBMnToVs2bNwrZt23DgwAE8/PDDSElJwaBBgwAAI0aMQHJyMh566CEcPnwYGzZswJw5czB9+nRotaxeJqK6aYwaFMA7VvKInWR16noGKLZpnrN1qEO55JBBueDwF/9lWwalfVSgFEQA1m0IxBbvjm7vFYfpN3cAADz7zZ+YsnwvTmVbG685ZlCCtWpoHKbxxAyKQqGQsihAy68/EYkZu+Q4e4DS1laofJ67GjvxKEB57733UFRUhCFDhqB169bS11dffSUds3jxYtx+++0YN24cbrzxRsTGxuK7776T7lepVFi7di1UKhVSUlLw4IMPYtKkSZg/f37jjYqIvF6jZVC8oJtsfTvJijpEiyt56pdBKdEbUWKrX2kd6o9e8fZeJOGBWrc/o7/d0gVTr28HtVKB7am5OGcLeBwzKAqFwinAcZzGcQpQWvgKHtGzI7tgckoSRna3lzSIS69L9CbkN0JHX2/hUR+UukR2Op0OS5YswZIlS9wek5SUhHXr1nny1ERETsy2ItnGyqBkFMo4QDHVv0gWsGdQ6rKSJ8OhwZpYgyJmn0J0agRq1egZH4ZV+y8BcC6QrUqpVOBftyfjoUFJWLTpFNYczoRSASTZfmGLIoL8kFWsR5BW7VRo2tUhQGnpBbKiwR0jMdi2B5LIutRYh8wiPc5fKa9Wd+PO8cxibDqejceHtIe2ntmzlsyjAIWIqKWQ+qA0oFEbYE+1703Lh9FsgaaB52sO9dnN2JFYg5KWVwaLRYDSTdBXojeiWG9f6ZN+pRxmi301T1yYdfqiVxt7BqVq/YkrbSMD8c59ffHUsI4oM5gRXaWhWbitiLdjdJDTRoB9bFmTjtFBsm9wlhQRiMwiPS5cKUP/pFawWAQcSC/AD4cysO5IFlqH6vDFI4MQ6m9tRJdbYsBDH+/BlbJKxLfyx7j+8bU8g/wwQCEiWTI30hRPn4RWaBWgQUG5EQcuFGBQ+4jGuLyrqqIBfVAAa/t5tVKBCqMZl4v1aGMLNKoSV+oE69TQG82oNFuQVayXMihigNIlNhhqpQImi1CnAEXU0c0qHDH4cKxtAYCe8aH4aNIAqY+InLWNDMCuc1ewcvcFrDmciWOZxdKya8Daq2fmlwfx0eRroFQAz31zGFds00Gp2SXuTitr8vtTgYgI9hqUhk7xqJQK3NzFuqPs1pM5tRzdMhlsnWTrm0HRqJRItK0kcaxDuXClzKkZW0ahdXonoVWAtKfOhbwyKYMiTpfpNCqpPsSTAMWdfrbpG3H3ZUfDk2PcBjZy0s5WKPtHeiG2p+Yit8SAIK0a4/rFY+G4ntCqldiWmos3NqZi5e4L2GbbcBAAzuY0bJuClooZFCKSJXMjbBYoGtYtBt8dzMDmE9n4523dGny+q8lsEVBprn+re1GHqCCcyy3Dudwy3NApCh/+cg6vrjuBF27rhkdubA/A3gOlTSt/mC0CzuWWIe1KmZRZiXPIvFzfMRLHMoud6kTq66GUtri9VxxaBXrvXm339E/AyawSBPip0CU2BF1jg9GzTagUdOo0Kjz95SG8t/2stKrp1u6xWH8sq8H7KLVUDFCISJZMjbAXj+iGzpFQKxXWX7h5ZdJfs3Lg2KK/vqt4AHsdyrncUhSVG/HO1tMAgG2pOVKAcsmWKWkT5g+xFOTClXKpB4qYQQGAWSM6484+cU79PhrCm4MTwFpns2h8H7f339WnDY5nFuP9X87BaBZwY+cozLurO9Yfy0J6fjn0RnO9M2gtFad4iEiW7DUoDf8YC9FpMLC9ddNTuU3zVDgEKFp1/V8LseX9ubwyfPjrOZTYimGPZBRJKzjFDEp8K38piDufVybVoIg9PqzXokL3uFCnolZqmOdu7YoJAxLQNzEMb9zTC9HBWgTr1LAI3tnkjQEKEclSY9WgiIZ2tbZo33Iiu5YjWxb7Ch5lg4IBMYNyLLMY//d7mnR7id4k/fLLcMigiPvHnL9S5rCKx3n1DTUulVKBhff0wuppgxEdooNCoUCHKLHJnvdN8zBAISJZkjIoDdgs0NGwrtZC2b1p+SjWGxvlnFeDwdSwJcai9rZfdPlllSivNKNnm1D0TggDAPyZUQTAnkGJC/NHW1tR7ZmcUhhsnWxjQxmgXG1igHLGCwtlGaAQkSwZbYWhmkbKoLSNDESHqECYLAJ+PZXXKOe8GioqG14gC1hrIFoFaKTvZ43ojN62jrBHLhXCYDIjx7bstU0rf7QJ84daqYC4yCcyyM8rm4W1dGLrf2ZQiIhaiMasQREN6ya/aR6xi2xDAxTAnkXpn9QKQzpHoaet4dqfl4qkvXZ0GiUiAv2gVimlpcaAc/0JXT0dPNjoUW4YoBCRLDV2DQoAqR/Kb2fklEGxBijaRghQxvZrg7hQHf51ezIUCgV6xYcBAI5mFEmbBMaF+Uu1LuIuvIDzCh66ejqIGZQcaxdgVw5cKMDFfPkV0TJAISJZauwaFADSJnc5JYZ6bdpWWF6Jhz7eg28OXGq0a6qNvYtswz/OHxiYhJ2zh6GPrfakQ1QgdBolyirNUtDm2GW2bYR9OXacm+6z1LQSwwOgUdm7AFf1R3oB7lm2E1M/2dcMV9cwDFCISJaaIoMSqFUjIdz6i/ZUPdqHb0/Nxa+n87Bk25lGu6baiH1QmqIHhlqlRPc4a9C2/uhlANYlxqK2zKA0O41KKa2octVR9uNf0yAIwKnsUpTIqPgbYIBCRDLVmJ1kHXWJsXY+rU+AIi7DTcsru2orgfQN3IenNmIdynnbUmPHDEqSQ0O71sygNBuxDqXqSp6MwgqsP5YlfS+3lT4MUIhIlpoigwIAnW0BSmqW5wGK2FEVsNZtXA16cR+eBnSRrYk47SWKczfFwwxKs3G3kufTXeed9lI6nc0AhYioyZnNjb+KB4C0yV19MijinjQAcOTS1QlQxBoUXRMt8a0aoDhmUOJb+Uvdax1X9NDV5apZW3mlCf/bkw7A3oSvPu/p5sQAhYhk6WpkUMQW71UZzRZcKqi+KkLsqArYm5s1xOWiCmmVjjvi/f5+TfNx3i4yCIEO2Zk2DjUoGpUSb03og3/f3RMxIcygNBd7s7Yy6bbv/shAsd6EpIgA/GVwOwDAaU7xEBE1PZOtBkXdiKt4AOtfmyqlAsV6E7KLDS6PWbzpFK5fuA2/nMp1ut0xQGloBuVcbiluWLgNk/9vr9tACWjcPiiuqJQKdLfVoaiUCsRWCURG9WyN+wcmNslzU92IS43zSg0oKjfCYhGw3LZdwZTr2ko7Sp9mBoWIqOmZmyiDolWrpI3wUt18oG88bm3ktvPsFem2UoMJxbYN9gAgPb8cheWeL1UW7b9QAJNFwN7z+dLzuaKvbLpVPKJetgAlNkQHtYq/NlqaIK1aChy3n8rBzK8O4WxuGYK1atw7IAGdoq0BSmaRXlYrefhOIyJZMjVRDQrgsJLHRaFsid4ozfWn5dlT5pdt2ZNQf43UwOxIA6Z50vLs6fpFG0+5bcJV0YTLjEX9kloBgBS4UcvTIdr6s3n6y0NYczjT+v/DOyFIq0ZogAbRwVoA7lfy5JUa8Nmu8/j4tzTp6/dmbliobtZnJyKqp6bKoADWOpSfjlx2mUE5klEEccblfJ69DiWj0N5ptUNUIC5cKcefl4pwQ6eoel3DOYeCx9TsEqw9chl39o6rdpy0iqcJA5SR3WMx/67uuK5DZJM9BzVMp+hg/H7GmtG7oVMknhvZFT0dCpw7xwQjp8SA09ml6JvYqtrjX/3pBFYfzHC67f6BiRjcsfl+5gxQiEiWTNJePI0foHSJtc7pu1r1cPiiPSty/oq1vbhSqZBW8MSF6tArPhRr/7zsVIdSajDBbBYQ6rAhX03EDMo1bVth3/kCvLXpFG7rEVttiqWiifugANbXeFJK2yY7PzXc1OuthbAjuse4DCQ7RgfhtzN5blfyHEwvAADc2DlK2jSyj22rg+bCAIWIZEnKoDRykSxgX8lzKrtECkBEhy8WSv9vMFmQVaxHXJi/1AMlLswfPWw1G+IUT4neiNvf/Q3FFUZs+dsQhAf61fj8ZosgNUabd2cPPPDRbpzLK8Pqgxm4d0CC07H2TrKcsfdlCeEBmHtnd7f3i+9pVyt5SvRG6f321oQ+tb4/rxa+o4lIlkxN1EkWAJIiAuGnVkJvtOBileXEhy8VAgBs++VJmQ7HKR4xQMkorMCVUgPe3HgKF66Uo6DciA0OnT3dySysQKXJAo1KgS6xwXj8pg4AgHe3nqm2okd83qqra4gcdY6xZgVdreQ5aau1ah2qazHBCcAAhYhkqilrUFRKBTrZlm46dpTNKdbjcpEeSgVwbdtwAPYAJVMKUHQI0WnQ3lZQunJ3Oj7ZdV46x09/Xq71+cVzJkVYlzw/lJIEpcK6Mii31L702Wi2IN32l2+7KBawkns1reQ5nlkMAOgeF3LVr6smDFCISJaMZjFAaZqPMVd78hy21ZR0ig6WNtE7bwsmLhfZalBsnVbFAsXFm09BEIDrOkQAAHadu1LrTsligawY5AT4qaVOrWcdmnFdKqiAySLAX6NCTDAzKOReTSt5jmVa39fJrRmgEBE1WFPWoABAZ1tzq1SH/UvE+pPeCaFoF2kNGMRC2cu2IllxV19xkz0ACAvQ4N37+qJHmxCYLUKt0zxiBsUxKyJ1C3VY3SMuc24bGehUJ0PkilSHUmVPnuOXrRmUZGZQiIgarilrUADXvVDE+pNe8WFoa8tupOWV4UpZJSrNFigVkFq+93JYAfHCbd0QEaTFbT1bA6h9muecLUBp79B3RNoQzuGv33O51Y8jckd8DzlmBY1mC05lWd9TYlawpWCAQkSy1JQ1KIA9g3I2txR5pQYIgiBlUPokhElNy9Lzy5Geb60DiQnRQWNbBtwnIQxDukRhwoAE3NM/HgAw2hag7Dp3BVdKXbfRBxwyKJFB0m0dbNmUs04ZFFuAwvoTqgNXK3nO5JSi0mxBsE6NeId9lloCBihEJEv2PihN8zEWF6pD55ggmCwCpn3+B87klKJYb4KfWokuscGIC/WHn1oJo1nAgQv5AOzTOwDgp1ZixcPXYuE9vaCwLflJigh0mOZx3b5ebzRLK3McO7dKO9a6yKCwwyvVRScXK3nEAtnk1iHS+7SlYIBCRLLU1BkUhUKBpQ/0Q5BWjb1p+Xh85QEAQI+4EGhUSiiVCiTZClfFDp5igWxNxGmedUdcT/NcuFIOQQCCdWpEBtmXfIoBSmaRHmUG654/9kwLAxSqXWeHlTxiEHwss2XWnwAMUIhIpux78TTdX30do4Px1oQ+UCiAs7ZshWNtiViHsjfNmkFpU4cAxXGa579bT2PT8Wxk2VYAAfbC1/aRgU5/0bYK9EOErUfFudwylBlMyCq2Po4BCtVFaIAGKe2tq8k++vUcAOD45Za5ggdggEJEMtXUGRTR8OQY/O2WztL3fRLCpP8Xi1PFdvOOUzzuJEUEondCGMwWAW9sPIVHPt2P6xduxc+2jMq5GrIi0jRPbinOX7EeFx7oh7CAltNci1q2J4ZYm/59ufcirpQaHHqgtKwCWYABChHJlNG2iqfq3jRNYfrNHfHgoER0jQ3GkC72zf/aVgki6jLFAwBLH+iH50d1xd1926B9VCBMFgGv/HQCBpMZabnVC2RFHaLtAUqai5U+RLW5oVMkerQJQYXRjFfXnUCx3gSNSiGt8GlJuBcPEcmSuQk3C6xKoVDglTE9q93eNqJ+AUqbMH+pfb3eaMaNr21DRmEFVu27WOPKHHElz5mcUmm1EKd3yBMKhQLThnTEtM//wHd/WHcv7hwTDD91y8tXtLwrIiKqA5P56kzx1KRqcFDXAMWRTqPCk0M7ArDutSM2YnM5xeMig8IW9+Spkd1jnTJvLbH+BGCAQkQydTUzKO7EhGjhr1EBsO4mLG5T76nx1ySgTZg/ckoMKCy37pPiKkDpaKtBOZ9XjtM51qWinOIhT6mUCimDB7TMFTwAAxQikilTE7e6rwuFQiHVocSF+te7j4RWrcLTwzpJ38eEaBGorT4D3ybMH1q1EpVmi7Q81FWtClFtxvRtI60665/UqpmvxjUGKEQkS2axSLaZ96AR9+Spz/SOo7H92qBtRIDtnK6zIkqlAu1tWRRBABQKIMn2GCJP+KmV+N8jg7Di4Wucls63JAxQiEiWmrqTbF2JS38b2iZcrVJizuhkqJUKDOsaU8Pz2YOXNmH+0NmmmIg8lRgRgCFdopv7MtziKh4ikqWr1QelNvcPTER+WSUeHty2wecanhyDo/NG1hh0OC4H5Qoe8mYMUIhIlqRVPM1YgwIArUP98erd1Zcg11dtGRExYwOwQJa8G6d4iEiWTLYalOZcxdMcHAMUZlDImzFAISLZsVgE2GZ4oG7mGpSrrX1UIMTFQu2juIKHvJdv/csmIq9gFgTp/30tg6LTqHBN23AEa9Xo2abl7Z9C1Fg8DlB++eUX3HHHHYiLi4NCocD333/vdL8gCHjxxRfRunVr+Pv7Y/jw4Th9+rTTMfn5+XjggQcQEhKCsLAwTJ06FaWlpQ0aCFFdHLhQgJfXHofetrmbKxaLgHe2nMZHv55DRaX746j5iAWyQPMXyTaHz/86EDtnD0WrQG4SSN7L4wClrKwMvXv3xpIlS1ze/9prr+Gdd97BsmXLsGfPHgQGBmLkyJHQ6+3biT/wwAM4duwYNm3ahLVr1+KXX37Bo48+Wv9RENWBxSJg5lcH8fFvafjhUIbb4345nYtFm07hlZ9O4KbXt2Hl7gswmi1X8UqpNiaL72ZQAECjUiJYV7+utURy4fEqnlGjRmHUqFEu7xMEAW+99RbmzJmDu+66CwDw6aefIiYmBt9//z0mTpyIEydOYP369di3bx8GDBgAAHj33Xdx22234Y033kBcXFwDhkPk3q9n8nAxvwIAcOJyifvjTucBAJQKIKfEgDnfH8WX+9KxZvr1UPrgL8OWyGz27QwKkS9o1BqUtLQ0ZGVlYfjw4dJtoaGhGDhwIHbt2gUA2LVrF8LCwqTgBACGDx8OpVKJPXv2NOblEDn5fPcF6f9PZhW7Pe43W4Dy5vjemHdnd6iVChzNKEZGYUWTXyPVjbiCB/DNDAqRL2jUPihZWVkAgJgY5y6IMTEx0n1ZWVmIjnbuXKdWqxEeHi4dU5XBYIDBYJC+Ly52/8uFyJWsIj22nMyRvk/NKoEgCNX2Tsku1iM1uwQKBTCkczRaBfrhs90XcCbHuntsQjjbircEJocmbfXd/4aIWjZZrOJZsGABQkNDpa+EhITmviSSma/2XYTZIqB3QhiUCqCg3IicEkO148TsSY+4UKkAUew1cf5K2dW7YKqRqQXsZExETatRA5TY2FgAQHZ2ttPt2dnZ0n2xsbHIyclxut9kMiE/P186pqrZs2ejqKhI+rp48WJjXjZ5OZPZgi/3pQMA/jK4rbT77Mms6nUov52xBijXd4qUbhMDlLS8+gUoG45l4WB6Qb0eS66JNSisPyHyXo0aoLRr1w6xsbHYsmWLdFtxcTH27NmDlJQUAEBKSgoKCwtx4MAB6ZitW7fCYrFg4MCBLs+r1WoREhLi9EVUV9tSc3G5SI/wQD/c2iMW3WKt75/UKnUogiBIAcoNDgFK24j6Byjnckvx2GcH8NDHe1FqMNV3CFSFr3aRJfIlHgcopaWlOHToEA4dOgTAWhh76NAhpKenQ6FQYObMmXjllVewZs0aHDlyBJMmTUJcXBzGjBkDAOjWrRtuvfVWPPLII9i7dy9+//13zJgxAxMnTuQKHmoSX+yxFsfe2z8eWrUKXWKDAQAnq6zkSc0uQW6JAf4aFfontZJubxtprTs5X48A5UhGEQCg1GCqcWkzeUbaKFAli1lqIqoHj4tk9+/fj5tvvln6ftasWQCAyZMnY8WKFXjuuedQVlaGRx99FIWFhbj++uuxfv166HQ66TGff/45ZsyYgWHDhkGpVGLcuHF45513GmE4RM7KK01SVmT8NdbaJSlAqTLFI9afXNsuHFq1fcO29pHWduIXCypgNFugcfNLsajCiBCd2qlo8/hle5Zm5e503H9tIos6GwFrUIi8n8cBypAhQyA4tJmuSqFQYP78+Zg/f77bY8LDw/HFF194+tREHvvjQiGMZgFxoTpp51dxiudMTqlTwCH2P3Gc3gGAmBAt/DUqVBjNuFRQ4XKDtu/+uIRZqw7jlTE98OCgJOl2x34rJy4X49DFQvRNbFXt8eQZs4U1KETejvlR8mp70q4AAAa2j5AyF/Gt/BHgp0Kl2SJN2xhMZunY66sEKAqFAkkR1mmetLzqWzIIgoAl284AAH7687LTfSdsGZTOMdYszOd70htlXL6OGRQi78cAhbzannP5AICB7cKl25RKBTrHOE/z7D9fAL3RgqhgLbrY7nNkX8lTXv050vJxNtca6By6WAiTrS1+XqkBuSUGKBTAi7d3BwCs/TMTReXGxhqezxJfY3fTbUQkf/zXTV5LbzTj0MVCANYMiqNurcUAxZrh+PDXcwCAYV2jXdaISL1QXBTKfuGQFakwmqWgR8yetI0IxOCOEegaGwy90YLvDl5qyLAIzKAQ+QIGKOS1DqYXotJsQXSwFm0jnDvAilmS1KwSHLiQj+2puVApFXhiSAeX52rrpllbXqkBPx+1TuskhPsDsO6YDNgDlG6tg6FQKPDAwEQAwIqd57E3LR8Wi/taLqoZa1CIvB8DFPJarupPRF1shbIns0rw5sZTAIDxA+KRFFG9ABawZ1DO5ToHKN8cuASjWUDv+FDc29+6SsgeoFgzKWJR7pi+bRCiU+PClXKMf38XbnhtG5ZsO1Nj0Tm5xgwKkfdjgEJey1X9iairbanxpYIK7Dx7BX4qJWYM7eT2XGKztsyiCuiNZgCAxSLgf3ut0zsPDEySeqdUzaB0bW0NUIJ1Gqx6PAX39I9HkFaNjMIKvL4hFT8dcS6svVoOXCiQpsDkxmxr1MYMCpH3YoBCXslgMuMPW3v5Qe2rByitAv0QE6KVvr9/YCLahPm7PV9kkB+CtWoIAnAx31oo+/vZPFy4Uo5grRq3924t7fOTUViBi/nlOJtrXfEj1rsAQNfYELxxb2/snzMc911rzbisPXz1A5T95/Nx77KduO+D3SjRy69o12RmBoXI2zFAIa90+GIRDCYLIoP80CEqyOUx4jSPVq3ENDe1JyKFQiHVoZyzFcou//08AGBsvzYI8FMjSKtGV9s5V+2/CKNZQIhO7TLw0WlUeGCgtV/KttQclNWhDb4gCHh9w0n8329ptR5bk2K9ETO/OgSLYC3q3X9BfvsE2WtQ+BFG5K34r5u80p5z1vqTa9uFu+3cKmZWpl7fDtEhOpfHOGrrsJLnYHoBtp7MgUqpwJTB7aRjxGmeL/dZN7Ts2jrE7fN3jwtBUkQADCYLtpzMcXmMoz/SC7Bk21nMX3u8QUuV5/5wDJcKKqTvxakwOWENCpH3Y4BCXmlPmlh/EuH2mL9e3x7fPnEd/j6iS53O2c62Euj8lTIs2mQtrB3Xr41TZ9kBba0BSm6JAQDQLbZ6TxWRQqHA6J6tAQDr/qx9mmfjMfsu4X9crF/W48fDmfjuYAaUCuu0FgDstgVzciJuFqhWMUAh8lYMUMjrlBpMUqHqoPbuAxQ/tRL9k1pBWce/wttFWQORjcey8evpPGhUCjxZpbC2X5U29t1a17zz9m22AKW2aR5BELDhWJb0/R/1mJbJKzXghdVHAAAzhnaSprWOZBTVaYqpJRFrUFgkS+S9GKCQbAmCgKMZRTCYzE63z11zDBVGMxLDA9Ap2nX9SX2IK3mulFUCACZck4CEcOf+KvGt/BEdbC++rS1A6R4XgrZ1mOY5lV2K81fsXWwP1CNA+fbAJRTrTUhuHYKnhnZEfKsAtAnzh9ki1Ot87pTojUirx87PnjBLUzz8CCPyVvzXTbK1+mAGbn/3N9zz3i5pSmXdkcv45sAlKBTA6/f0qnN2pC4cp3L81ErMuLn6smSFQiHVoSgVkFrqu6NQKKQsSk3TPBtt2RNxTyDHlvp1IQgCvj5g7WA7KSUJaluL+IG2OhyxZ0xDWSwCHvx4L4Yv2iF16XWlotKMl344im2ptdfeuGJiozYir8cAhWRr9cEMANYpirHv/Y6dZ/Iw+zvrFMa0IR2qtbdvqLAAP4QFaAAADw1KQmyo68JaMUBpGxkIfz9Vrecd3av2aZ4Nx60BymM3dkCwVo3ySntL/bo4dLEQZ3JKodMopecDgEG2Gp3GKpRdd/QyDl8shNki4JdTuW6P+2JvOj7ZdQFzVh+tV6M6scg3SOfxhuxEJBMMUEiWiiqM2HXW+ld/61AdLuZX4P6P9qCowohe8aGYObxzkzzv1MHtcG278BqXJd/ZJw59E8Pw1+vb1+mcya3t0zzi6h9HGYUVOJpRDKUCGNE9Bn1tAZDY56UuxOzJqB6tEazTSLeLGZTDlwpRUWl2+di6MpktUvEw4H4aShAEfL3fOs6Mwgqcyam+Q3RtNtoCths7R9XjSolIDhigkCxtT82BySKgY3QQ1j55PXonhAEA/DUqvDWhT5PtcvvksE5Y9VgKIoK0bo+JDtZh9bTB0iqZ2lj36bH2RHn1p+P4qcpUjzi9MyApHJFBWvRPdO5YCwAFZZVuV+PojWb8eDgTAHBv/3in+xLDAxAbooPRLOCgi4Dn2wOXMHzRDry/46xU9+HOD4cycS63TFr6e+BCocvsyLHMYqfsz44aMi2unMkpxbncMmhUCgzpwgCFyFsxQCFZEle0jEiOQUSQFl8+Mgj/uLUrPp16Ldq7aczWkv31hnaYeE0CLAIw86uD2OZQMCuNtXsMAFRrqW+xCJi8fC8mfrBbykw42nAsCyV6E9qE+Vdb1aRQKKQsyu40+zSPIAh4e/Np/O3rwziTU4oFP5/EAx/tRkZhBVwxmi14e8tpAMCTQztCo1Igr9SAi/nVj//Gls3RaawfP9tTPQtQxNfjug6RCHHIBhGRd2GAQrKjN5qlX2oju8cCAPz9VHhiSAdc07Z6W3s5UCgUePXunrijdxyMZgGPrzyARz/dj8c+2499562BiDjW3gmhUCqsdRjZxXp8+8cl/HmpCADw2oZUlFapYxEDgnH9410WDQ+U6lCsGZhKkwXPf3sEizdbp2tG92yNAD8Vdp/Lx61v/YKtJ7OrneObA5eQnl+OyCAtHr2xPXq0CQUAHEh3rm0xmMz4/pC1dui5kV0BAHvT8lFeWfdlzhuPZzu9HkTknRigkOz8fiYP5ZVmtA7VoVd8aHNfTqNRKRVYNL43hneLhsFkwcbj2dhwLBtmi4Be8aHSkuZgnUZq0//r6Ty8viEVAKBRKZBbYsCy7Welc14qKMdvZ/IAAPf0i4crYgblj/QCjHr7V/R4aQO+2n8RSgXw8pgeWPJAP6x76gb0SQhDid6EaZ//gWOZRdLjMworsNhWezL95g4I8FO7nIYCgC0nclBYbkRsiA6Tr2uL+Fb+qDRbpHoiAPjlVC5WH7zk8lqzivQ4fLEQCgUwPDm6jq8sEckRAxSSHcfpHXdt5OVKo1Ji6QP9sfSBfnj17h549e4eWDC2J957sL/Tcf2TwgAAL689jpwSA5IiArB4Qh8AwAe/nsOlgnJczC/H5P/bC0GwtvVPjAiAK+0jA9E61FqHcuJyMSrNFkQE+uH9hwbgoUHW2pi2kYH45vEU3NQ5CnqjBY9+egBXSg3ILTHgwY/2IKfEgA5Rgbjv2kTb9VkDlP3nnQMUcQpqbL82UCntNSRiHUpqVgn+smIfnvnqsMtlymJxbL/EVogOrn17AiKSL67RI1kxmS3YfMJanzHCS1P8fmql1BvFnf5JrbBydzqKKqx78swe1RUju8diZfsL2H0uH89+/SfO5JYit8SA1qE6vDKmh9tzKRQKLHuwP3afu4L2UUHoGhuMNmH+1aaD1Col3pnYF3ct+Q3nr5Tjic//QHGFtSlbmzB/fDZ1IHQalXR9AJCaXYISvRHBOg2yi/VSIHKPrVj3ps7RWLk7HdtTc2GxCJj93Z9Sj5NtJ3OlzRdFYrv/kbZ6HCLyXsygkKwcuFCA/LJKhPprcG07edabNIb+ifaxD2wXjpHdY6FQKPCv25OhUAC7zl1BbokBXWOD8d2069AxuuaGcb0TwvDYTR1wS3IMEsID3Da4Cw3Q4MNJAxDop8LetHyczCpBVLAWn/91IOIcdm2ODtEhIdwfgmDtwQIA//d7GiyCNXgRC5mv6xABjUqB9PxyvLruBP5IL5TOsb1KE7eicqO0UmlEsncGp0RkxwCFZEUskBzWLbrJlhLLQUK4P9pHBkKjEoMSa0DRPS5Umma5rkMEVj2egtah/jWdymOdYoLx1sS+UCiAsAANVk4dKO307MixDuVkVjE+/jUNAPDYjfb+MIFatVTY/PFv1vv/Ytsd+sCFApTo7bs2bzmZDZNFQJeYYJfPR0TehVM8JBuCIGDzCWuAMiLZt1P8CoUCXz46CMV6EzpW2W/o5bt6YMKABHSPC5Fa2je2W5JjsOmZmxAe6IfwQD+Xx/RPaoXvD2Vi//kC7DiVC5NFwIjkmGpTc0O6RGGnrUi2d3woXhjdDdtTc3Aurwy/n7mCW3tYj//2D2vhLKd3iHyD7/4JSi3a2dxSHLlUVOW2Mly4Ug4/lRLXd2KDrugQXbXgBLCuBuqdENZkwYmoY3SQ2+AEAPrZ6lB+O5OHg+mFCNKqMe+u7tWOu7mLdTWOSqnAgrG9oFIqpA6xO05Zp3lSs0rw+5krUCqA8dckNPZQiKgFYoBCLY7ZImDiB7tx99LfcTbX3gZd7L8xsH04grRM/rV0XWKCEeiwF9GzI7u4nG7qFBOMtyf2wUeTBiA5zloUK63uSc2FIAhY/rt1+ufWHrGIb+V6NRIReRcGKNTipOVZV5+YLAL+tyddun2LbfXOsK7sfyEHapUSfRLDAAB9EsLwoG3Jsit39WmDmx1+roPaR0CrViKzSI89afn4zrYxpFifQkTejwEKtTh/OkztfPPHJeiNZhSVG7Hf1vRrWDfWIMjF9Js7Yni3aCwa31vao6cudBqV1Jb/b6sOo9JkQc82odLyZSLyfsyTU4vjGKAUlhvx89HLUCoUMFsEdI4JkjqqUst3XYdIXNchsl6PvalzFHacypX2//nL9W29rjEfEbnHDAq1OEczrAFK5xhrAejnu9Ol6Z2hXZk98RWOOxVHBWsxumdcM14NEV1tDFCoRTGZLTiWaW1xPvfO7lApFdh/oUBqbz+8G+tPfEW7yEAk2rJlkwYlwU/NjysiX8J/8dSinM0tQ4XRjEA/FQa1i8AttnoTg8mCsAAN+iayBsFXKBQKzL+rOx4clIiHr2dxLJGvYQ0KtSh/XioEAHRvEwqlUoEHBiVivS17cnOXaI8KLUn+hnSJxpAuzJoR+SJmUKhFOWKrP+nVJhQAMLhDJNraduH19e6xRES+hBkUalHEAKVnvDVAUSoV+GjyAPxxoVBqeU5ERN6PAQq1GEazBcdtBbK94sOk2ztGB9e6Gy8REXkXTvFQi3E6uxQGkwXBOjWS2OuEiMinMUChFuNIRiEAoKetQJaIiHwXAxRqNhaLgG0nc3A+rwyAvYNsT1uBLBER+S7WoFCzEAQB89cex4qd56FSKjB+QDz2n7futSMWyBIRke9igELN4s2Np7Bi53kAgNki4H97L0r39WoT1jwXRURELQaneMgtQRBqPcZiqf2Yqt7bfhb/3XYGAPDKmB745vEUXNs2HACQEO6PhHB/j89JRETehRkUH5NdrMeOU7loHxmIAbagoCqDyYznvz2Cn/68jBs7R2FM3zgM6xoDfz+V03Hrj17GnO+PIjJIi1m3dMYtyTE17jZbabLgzU2peH/HOQDA86O64sFBSQCArx4bhKMZxWgVqOGOtUREBIVQlz+TW5ji4mKEhoaiqKgIISEhzX05LVqlyYKzuaU4dLEQa//MxM6zVyD+xG/sHIXnRnZBD4ei1KJyIx75bD/2puU7nSfQT4WR3WNxV9826BMfhlfXHceq/ZecjumbGIbh3WJwJqcUJ7NKUGkyY0T3WIzp0wYqJfD0l4ekjQCfGtoRs0Z0adrBExFRi+LJ728GKA7WH83CO1tOQ6dRQqdR2b6U0KlV0Ir/r1FBp3b4f9t/tbbbgnVq9GgTCq1aVfsTumE0W5BdrEd2sR5mi/321qE6xLfyrzHDUFheiV1nr+C3M3nYf74AZ3NLYaoyDZPcOgSnskuk21PaR6B7XAg6xQThw1/TcCanFMFaNeaP6Y4zOaX44VAmLhVUSI9XKgCLACgUwOM3dYACwP/9nga90QJ3xMe0CtBgwdhe7ApLROSDPPn93axTPEuWLMHrr7+OrKws9O7dG++++y6uvfbaZrue3FIDjl8ubvB5QnRq3NazNe7sHYfEiOoNxwQBKNGbkFlYgcyiCmQUViCzUG/9vrAC2cV6uCvtCNKq0TkmCF1iQ9A1NhhdYoNhMgv47Uwedp7Nw5GMIlQNOYN1anSNDcaQLtG4s3ccEsIDcOFKGRZvOoUfDmdi17kr2HXuinR8bIgOyx++Bt1aW988fx/RBX+kF2LNoQys/fMyrpRVok2YPxaN742B7SMAAFOua4uPfktDVpFeuj6DyYw1hzKxPTUXlWYLbugUiTfu7Y2YEF2DX2MiIvJuzZZB+eqrrzBp0iQsW7YMAwcOxFtvvYWvv/4aqampiI6ueffSpsqgXC6qwKnsUuiNZuiNZhiMFuhNZtv3Fum/FUYzDEaz7T6LdLzeaEFOiR55pZUNvhY/lRLRIVr4qa11zBaLgIzCChjNtf+4OkYH4fqOkUjpEIGebULROlTnNutyNrcUe9PykZpVgpNZxWgV4IcX70hG61DXhapGswVHMorQJSYYgdq6xbdF5UacyytF7/gwNmAjIvJhspjiGThwIK655hr897//BQBYLBYkJCTgySefxPPPP1/jY1tyDYrZImBvWj5+OJSBTcezUWowuTwuUKtGmzB/xIXpEBfmb/t/8UuHyEBttV/mRrMFaXllOHG5GKlZJbagogQAMLB9OK7vGInBHSOZoSAiohapxQcolZWVCAgIwDfffIMxY8ZIt0+ePBmFhYX44Ycfanx8Sw5QiIiIyLUWX4OSl5cHs9mMmJgYp9tjYmJw8uTJascbDAYYDAbp++LihteJEBERUcsli0ZtCxYsQGhoqPSVkJDQ3JdERERETahZApTIyEioVCpkZ2c73Z6dnY3Y2OrLT2fPno2ioiLp6+LFi9WOISIiIu/RLAGKn58f+vfvjy1btki3WSwWbNmyBSkpKdWO12q1CAkJcfoiIiIi79VsfVBmzZqFyZMnY8CAAbj22mvx1ltvoaysDA8//HBzXRIRERG1EM0WoEyYMAG5ubl48cUXkZWVhT59+mD9+vXVCmeJiIjI97DVPREREV0Vnvz+lsUqHiIiIvItDFCIiIioxWGAQkRERC0OAxQiIiJqcRigEBERUYvDAIWIiIhaHAYoRERE1OI0W6O2hhBbt3BXYyIiIvkQf2/XpQWbLAOUkpISAOCuxkRERDJUUlKC0NDQGo+RZSdZi8WCzMxMBAcHQ6FQNOhcxcXFSEhIwMWLF32yK60vj9+Xxw5w/L48fl8eO+Db42/usQuCgJKSEsTFxUGprLnKRJYZFKVSifj4+EY9p6/vkuzL4/flsQMcvy+P35fHDvj2+Jtz7LVlTkQskiUiIqIWhwEKERERtTg+H6BotVq89NJL0Gq1zX0pzcKXx+/LYwc4fl8evy+PHfDt8ctp7LIskiUiIiLv5vMZFCIiImp5GKAQERFRi8MAhYiIiFocBihERETU4nhFgPLLL7/gjjvuQFxcHBQKBb7//nun+0tLSzFjxgzEx8fD398fycnJWLZsmdMxWVlZeOihhxAbG4vAwED069cP3377rdMx+fn5eOCBBxASEoKwsDBMnToVpaWlTT28WtU2/uzsbEyZMgVxcXEICAjArbfeitOnTzsdo9frMX36dERERCAoKAjjxo1Ddna20zHp6ekYPXo0AgICEB0djWeffRYmk6mph1ejho49Pz8fTz75JLp06QJ/f38kJibiqaeeQlFRkdN5WuLYgcb52YsEQcCoUaNcnqcljr+xxr5r1y4MHToUgYGBCAkJwY033oiKigrpfm/+dy/Xz70FCxbgmmuuQXBwMKKjozFmzBikpqY6HdNYn2nbt29Hv379oNVq0bFjR6xYsaKph1erxhj/4cOHcd999yEhIQH+/v7o1q0b3n777WrP1Zzj94oApaysDL1798aSJUtc3j9r1iysX78eK1euxIkTJzBz5kzMmDEDa9askY6ZNGkSUlNTsWbNGhw5cgRjx47F+PHjcfDgQemYBx54AMeOHcOmTZuwdu1a/PLLL3j00UebfHy1qWn8giBgzJgxOHfuHH744QccPHgQSUlJGD58OMrKyqTjnnnmGfz444/4+uuvsWPHDmRmZmLs2LHS/WazGaNHj0ZlZSV27tyJTz75BCtWrMCLL754VcboTkPHnpmZiczMTLzxxhs4evQoVqxYgfXr12Pq1KnSeVrq2IHG+dmL3nrrLZdbR7TU8TfG2Hft2oVbb70VI0aMwN69e7Fv3z7MmDHDqQW3N/+7l+vn3o4dOzB9+nTs3r0bmzZtgtFoxIgRIxr9My0tLQ2jR4/GzTffjEOHDmHmzJn461//ig0bNlzV8VbVGOM/cOAAoqOjsXLlShw7dgwvvPACZs+ejf/+97/SMc0+fsHLABBWr17tdFv37t2F+fPnO93Wr18/4YUXXpC+DwwMFD799FOnY8LDw4UPP/xQEARBOH78uABA2Ldvn3T/zz//LCgUCiEjI6ORR1F/VcefmpoqABCOHj0q3WY2m4WoqChpbIWFhYJGoxG+/vpr6ZgTJ04IAIRdu3YJgiAI69atE5RKpZCVlSUd89577wkhISGCwWBo4lHVTX3G7sqqVasEPz8/wWg0CoIgj7ELQsPGf/DgQaFNmzbC5cuXq51HDuOv79gHDhwozJkzx+15vfnfvSB4z+deTk6OAEDYsWOHIAiN95n23HPPCd27d3d6rgkTJggjR45s6iF5pD7jd2XatGnCzTffLH3f3OP3igxKba677jqsWbMGGRkZEAQB27Ztw6lTpzBixAinY7766ivk5+fDYrHgyy+/hF6vx5AhQwBY/9IKCwvDgAEDpMcMHz4cSqUSe/bsudpDqjODwQAA0Ol00m1KpRJarRa//fYbAGskbTQaMXz4cOmYrl27IjExEbt27QJgHX/Pnj0RExMjHTNy5EgUFxfj2LFjV2MoHqvL2F0pKipCSEgI1GrrVlVyHDtQ9/GXl5fj/vvvx5IlSxAbG1vtPHIcf13GnpOTgz179iA6OhrXXXcdYmJicNNNNzm9Nt787x7wns89cUo2PDwcQON9pu3atcvpHOIx4jlaivqM3915xHMAzT9+nwhQ3n33XSQnJyM+Ph5+fn649dZbsWTJEtx4443SMatWrYLRaERERAS0Wi0ee+wxrF69Gh07dgRgnauNjo52Oq9arUZ4eDiysrKu6ng8Ib4pZ8+ejYKCAlRWVmLhwoW4dOkSLl++DMA6Nj8/P4SFhTk9NiYmRhpbVlaW0z9k8X7xvpaoLmOvKi8vDy+//LJTCluOYwfqPv5nnnkG1113He666y6X55Hj+Osy9nPnzgEA5s6di0ceeQTr169Hv379MGzYMKlWw5v/3QPe8blnsVgwc+ZMDB48GD169ADQeJ9p7o4pLi52qlNqTvUdf1U7d+7EV199VafPvqs1fp8JUHbv3o01a9bgwIEDePPNNzF9+nRs3rxZOuZf//oXCgsLsXnzZuzfvx+zZs3C+PHjceTIkWa88obTaDT47rvvcOrUKYSHhyMgIADbtm3DqFGjat3qWu48HXtxcTFGjx6N5ORkzJ079+pfcCOry/jXrFmDrVu34q233mrei21kdRm7xWIBADz22GN4+OGH0bdvXyxevBhdunTB//3f/zXn5TdYXd/73vC5N336dBw9ehRffvllc19Ks2iM8R89ehR33XUXXnrpJaeZheambu4LaGoVFRX45z//idWrV2P06NEAgF69euHQoUN44403MHz4cJw9exb//e9/cfToUXTv3h0A0Lt3b/z6669YsmQJli1bhtjYWOTk5Did22QyIT8/32VavCXp378/Dh06hKKiIlRWViIqKgoDBw6U0raxsbGorKxEYWGhU8SdnZ0tjS02NhZ79+51Oq9YEd6Sx1/b2EUlJSW49dZbERwcjNWrV0Oj0Uj3yXXsQO3j37p1K86ePVvtL61x48bhhhtuwPbt22U7/trG3rp1awBAcnKy0+O6deuG9PR0APDqf/fe8Lk3Y8YMqXA3Pj5eur2xPtNiY2OrrfzJzs5GSEgI/P39m2JIHmnI+EXHjx/HsGHD8Oijj2LOnDlO9zX3+L37T2gARqMRRqOx2l/MKpVK+guqvLwcAGo8JiUlBYWFhThw4IB0/9atW2GxWDBw4MCmHEKjCQ0NRVRUFE6fPo39+/dLKf3+/ftDo9Fgy5Yt0rGpqalIT09HSkoKAOv4jxw54vRhtWnTJoSEhFT7gG+J3I0dsGZORowYAT8/P6xZs8Zp3h6Q/9gB9+N//vnn8eeff+LQoUPSFwAsXrwYy5cvByD/8bsbe9u2bREXF1dteeapU6eQlJQEwLv/3cv5c08QBMyYMQOrV6/G1q1b0a5dO6f7G+szLSUlxekc4jHiOZpLY4wfAI4dO4abb74ZkydPxquvvlrteZp9/FelFLeJlZSUCAcPHhQOHjwoABAWLVokHDx4ULhw4YIgCIJw0003Cd27dxe2bdsmnDt3Tli+fLmg0+mEpUuXCoIgCJWVlULHjh2FG264QdizZ49w5swZ4Y033hAUCoXw008/Sc9z6623Cn379hX27Nkj/Pbbb0KnTp2E++67r1nG7Ki28a9atUrYtm2bcPbsWeH7778XkpKShLFjxzqd4/HHHxcSExOFrVu3Cvv37xdSUlKElJQU6X6TyST06NFDGDFihHDo0CFh/fr1QlRUlDB79uyrOtaqGjr2oqIiYeDAgULPnj2FM2fOCJcvX5a+TCaTIAgtd+yC0Dg/+6pQZUVISx1/Y4x98eLFQkhIiPD1118Lp0+fFubMmSPodDrhzJkz0jHe+u9ezp97TzzxhBAaGips377d6d9seXm5dExjfKadO3dOCAgIEJ599lnhxIkTwpIlSwSVSiWsX7/+qo63qsYY/5EjR4SoqCjhwQcfdDpHTk6OdExzj98rApRt27YJAKp9TZ48WRAEQbh8+bIwZcoUIS4uTtDpdEKXLl2EN998U7BYLNI5Tp06JYwdO1aIjo4WAgIChF69elVbfnflyhXhvvvuE4KCgoSQkBDh4YcfFkpKSq7mUF2qbfxvv/22EB8fL2g0GiExMVGYM2dOteWhFRUVwrRp04RWrVoJAQEBwt133y1cvnzZ6Zjz588Lo0aNEvz9/YXIyEjhb3/7m7QUt7k0dOzuHg9ASEtLk45riWMXhMb52VdVNUARhJY5/sYa+4IFC4T4+HghICBASElJEX799Ven+735371cP/fc/Ztdvny5dExjfaZt27ZN6NOnj+Dn5ye0b9/e6TmaS2OM/6WXXnJ5jqSkJKfnas7xKwRBEBolFUNERETUSLy+BoWIiIjkhwEKERERtTgMUIiIiKjFYYBCRERELQ4DFCIiImpxGKAQERFRi8MAhYiIiFocBihERETU4jBAISIiohaHAQoReQ2z2SxtdEdE8sYAhYiaxKeffoqIiAgYDAan28eMGYOHHnoIAPDDDz+gX79+0Ol0aN++PebNmweTySQdu2jRIvTs2ROBgYFISEjAtGnTUFpaKt2/YsUKhIWFYc2aNUhOToZWq0V6evrVGSARNSkGKETUJO69916YzWasWbNGui0nJwc//fQT/vKXv+DXX3/FpEmT8PTTT+P48eN4//33sWLFCqdt35VKJd555x0cO3YMn3zyCbZu3YrnnnvO6XnKy8uxcOFCfPTRRzh27Biio6Ov2hiJqOlws0AiajLTpk3D+fPnsW7dOgDWjMiSJUtw5swZ3HLLLRg2bBhmz54tHb9y5Uo899xzyMzMdHm+b775Bo8//jjy8vIAWDMoDz/8MA4dOoTevXs3/YCI6KphgEJETebgwYO45pprcOHCBbRp0wa9evXCvffei3/961+IiopCaWkpVCqVdLzZbIZer0dZWRkCAgKwefNmLFiwACdPnkRxcTFMJpPT/StWrMBjjz0GvV4PhULRjCMlosambu4LICLv1bdvX/Tu3RuffvopRowYgWPHjuGnn34CAJSWlmLevHkYO3ZstcfpdDqcP38et99+O5544gm8+uqrCA8Px2+//YapU6eisrISAQEBAAB/f38GJ0ReiAEKETWpv/71r3jrrbeQkZGB4cOHIyEhAQDQr18/pKamomPHji4fd+DAAVgsFrz55ptQKq3lcqtWrbpq101EzYsBChE1qfvvvx9///vf8eGHH+LTTz+Vbn/xxRdx++23IzExEffccw+USiUOHz6Mo0eP4pVXXkHHjh1hNBrx7rvv4o477sDvv/+OZcuWNeNIiOhq4ioeImpSoaGhGDduHIKCgjBmzBjp9pEjR2Lt2rXYuHEjrrnmGgwaNAiLFy9GUlISAKB3795YtGgRFi5ciB49euDzzz/HggULmmkURHS1sUiWiJrcsGHD0L17d7zzzjvNfSlEJBMMUIioyRQUFGD79u245557cPz4cXTp0qW5L4mIZII1KETUZPr27YuCggIsXLiQwQkReYQZFCIiImpxWCRLRERELQ4DFCIiImpxGKAQERFRi8MAhYiIiFocBihERETU4jBAISIiohaHAQoRERG1OAxQiIiIqMVhgEJEREQtzv8DuLbyZBSG1v4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace_prenom_genre(\"Elvis\", \"M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ba13afb2-f33b-4367-b033-a83ada40d7fa",
   "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>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aaban</th>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aabha</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aabid</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aabidah</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aabir</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zyvion</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zyvon</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zyyanna</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zyyon</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zzyzx</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103564 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         births\n",
       "name           \n",
       "Aaban       127\n",
       "Aabha        62\n",
       "Aabid        16\n",
       "Aabidah       5\n",
       "Aabir        19\n",
       "...         ...\n",
       "Zyvion        5\n",
       "Zyvon         7\n",
       "Zyyanna       6\n",
       "Zyyon         6\n",
       "Zzyzx        10\n",
       "\n",
       "[103564 rows x 1 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tab = df.pivot_table(index=\"name\",\n",
    "                     values=\"births\",\n",
    "                     aggfunc=\"sum\")\n",
    "tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "f217194f-acf0-4ed5-adb2-08d8d4b8c650",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['James', 'John', 'Robert', 'Michael', 'William', 'Mary', 'David',\n",
       "       'Joseph', 'Richard', 'Charles'],\n",
       "      dtype='object', name='name')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prenoms10 = tab.nlargest(10, \"births\").index\n",
    "prenoms10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "ab9ba8e2-92bc-4638-a9f0-d6c749c29817",
   "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>year</th>\n",
       "      <th>name</th>\n",
       "      <th>gender</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1880</td>\n",
       "      <td>Mary</td>\n",
       "      <td>F</td>\n",
       "      <td>7065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>1880</td>\n",
       "      <td>John</td>\n",
       "      <td>F</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>1880</td>\n",
       "      <td>William</td>\n",
       "      <td>F</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>1880</td>\n",
       "      <td>James</td>\n",
       "      <td>F</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>1880</td>\n",
       "      <td>Robert</td>\n",
       "      <td>F</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103096</th>\n",
       "      <td>2023</td>\n",
       "      <td>David</td>\n",
       "      <td>M</td>\n",
       "      <td>7354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103098</th>\n",
       "      <td>2023</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>M</td>\n",
       "      <td>7237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103123</th>\n",
       "      <td>2023</td>\n",
       "      <td>Charles</td>\n",
       "      <td>M</td>\n",
       "      <td>5395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103158</th>\n",
       "      <td>2023</td>\n",
       "      <td>Robert</td>\n",
       "      <td>M</td>\n",
       "      <td>3807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2103290</th>\n",
       "      <td>2023</td>\n",
       "      <td>Richard</td>\n",
       "      <td>M</td>\n",
       "      <td>1638</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2795 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         year     name gender  births\n",
       "0        1880     Mary      F    7065\n",
       "228      1880     John      F      46\n",
       "286      1880  William      F      30\n",
       "343      1880    James      F      22\n",
       "514      1880   Robert      F      12\n",
       "...       ...      ...    ...     ...\n",
       "2103096  2023    David      M    7354\n",
       "2103098  2023   Joseph      M    7237\n",
       "2103123  2023  Charles      M    5395\n",
       "2103158  2023   Robert      M    3807\n",
       "2103290  2023  Richard      M    1638\n",
       "\n",
       "[2795 rows x 4 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tab10 = df.loc[df[\"name\"].isin(prenoms10)]\n",
    "tab10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c3d429f7-23f3-4c14-8baf-037c54c7674d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.stripplot(x=\"name\", y=\"births\", hue=\"name\", data=tab10);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "81d486dd-776b-419d-8433-59bd83bd894a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace_prenom_genre(\"Mary\", \"F\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "18974098-cdbd-41c4-8ffe-11b63151ae44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(679167, 4)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv(\"data/prenoms-2023-nat_csv.zip\",\n",
    "                 sep=\";\",\n",
    "                 header=0,\n",
    "                 names=[\"gender\", \"name\", \"year\", \"births\"],\n",
    "                 dtype={\"year\": str},\n",
    "                 na_values=\"\",\n",
    "                 keep_default_na=False)\n",
    "\n",
    "df = df.loc[(df[\"name\"] != \"_PRENOMS_RARES\") &\n",
    "            (df[\"year\"] != \"XXXX\") &\n",
    "            (df[\"name\"].str.len() != 1)]\n",
    "\n",
    "df[\"year\"] = df[\"year\"].astype(int)\n",
    "df[\"gender\"] = df[\"gender\"].map({1:\"M\", 2:\"F\"})\n",
    "\n",
    "df = df.sort_values(by=[\"year\", \"gender\", \"births\", \"name\"], ascending=[True, True, False, True])\n",
    "\n",
    "df[\"name\"] = df[\"name\"].str.title()\n",
    "\n",
    "df = df.reset_index()\n",
    "\n",
    "df = df[[\"year\", \"name\", \"gender\", \"births\"]]\n",
    "\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "20b5aa1d-00b4-4bf7-a467-9c434d4cc56f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(679167, 4)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = (pd\n",
    "      .read_csv(\"data/prenoms-2023-nat_csv.zip\",\n",
    "                 sep=\";\",\n",
    "                 header=0,\n",
    "                 names=[\"gender\", \"name\", \"year\", \"births\"],\n",
    "                 dtype={\"year\": str},\n",
    "                 na_values=\"\",\n",
    "                 keep_default_na=False)\n",
    "      .loc[lambda df_: (df_.name != \"_PRENOMS_RARES\") &\n",
    "                       (df_.year != \"XXXX\") &\n",
    "                       (df_.name.str.len() != 1)]\n",
    "      .astype({\"year\": int})\n",
    "      .assign(gender=lambda df_: df_.gender.map({1:\"M\", 2:\"F\"}),\n",
    "              name= lambda df_: df_.name.str.title())\n",
    "      .sort_values(by=[\"year\", \"gender\", \"births\", \"name\"], ascending=[True, True, False, True])\n",
    "      .reset_index()\n",
    "      .loc[:, [\"year\", \"name\", \"gender\", \"births\"]]\n",
    "     )\n",
    "\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "53b97eb8-807f-4c1c-96f0-c96e11818a26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tab = df.pivot_table(index=\"year\",\n",
    "                     columns=\"gender\",\n",
    "                     values=\"births\",\n",
    "                     aggfunc=\"sum\")\n",
    "tab.plot.line();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "2ef13993-35f5-45b6-a0da-baf705cdcfc2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 679167 entries, 0 to 679166\n",
      "Data columns (total 4 columns):\n",
      " #   Column  Non-Null Count   Dtype \n",
      "---  ------  --------------   ----- \n",
      " 0   year    679167 non-null  int64 \n",
      " 1   name    679167 non-null  object\n",
      " 2   gender  679167 non-null  object\n",
      " 3   births  679167 non-null  int64 \n",
      "dtypes: int64(2), object(2)\n",
      "memory usage: 20.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "ef5862a9-ca50-44b8-ad01-36a61f48a7de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year      0\n",
       "name      0\n",
       "gender    0\n",
       "births    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "80b56133-c192-45eb-82f9-9628ae3f2b5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace_prenom_genre(\"Julie\", \"F\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6019de01-4068-47c0-b2c0-3b6610a505a3",
   "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>geonameid</th>\n",
       "      <th>name</th>\n",
       "      <th>asciiname</th>\n",
       "      <th>alternatenames</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>feature class</th>\n",
       "      <th>feature code</th>\n",
       "      <th>country code</th>\n",
       "      <th>cc2</th>\n",
       "      <th>admin1 code</th>\n",
       "      <th>admin2 code</th>\n",
       "      <th>admin3 code</th>\n",
       "      <th>admin4 code</th>\n",
       "      <th>population</th>\n",
       "      <th>elevation</th>\n",
       "      <th>dem</th>\n",
       "      <th>timezone</th>\n",
       "      <th>modification date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3038832</td>\n",
       "      <td>Vila</td>\n",
       "      <td>Vila</td>\n",
       "      <td>Casas Vila,Vila</td>\n",
       "      <td>42.53176</td>\n",
       "      <td>1.56654</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1418</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1318.0</td>\n",
       "      <td>Europe/Andorra</td>\n",
       "      <td>2024-11-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3038999</td>\n",
       "      <td>Soldeu</td>\n",
       "      <td>Soldeu</td>\n",
       "      <td>Sol'deu,Soldeu,surudeu,swldw,Сольдеу,סולדאו,سو...</td>\n",
       "      <td>42.57688</td>\n",
       "      <td>1.66769</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>602</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>Europe/Andorra</td>\n",
       "      <td>2017-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3039077</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>42.53368</td>\n",
       "      <td>1.51613</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1315.0</td>\n",
       "      <td>Europe/Andorra</td>\n",
       "      <td>2024-11-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3039154</td>\n",
       "      <td>El Tarter</td>\n",
       "      <td>El Tarter</td>\n",
       "      <td>Ehl Tarter,El Tarter,El Tarter - Principau d'A...</td>\n",
       "      <td>42.57952</td>\n",
       "      <td>1.65362</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1721.0</td>\n",
       "      <td>Europe/Andorra</td>\n",
       "      <td>2012-11-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3039163</td>\n",
       "      <td>Sant Julià de Lòria</td>\n",
       "      <td>Sant Julia de Loria</td>\n",
       "      <td>San Julia,San Julià,Sant Julia de Loria,Sant J...</td>\n",
       "      <td>42.46372</td>\n",
       "      <td>1.49129</td>\n",
       "      <td>P</td>\n",
       "      <td>PPLA</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>921.0</td>\n",
       "      <td>Europe/Andorra</td>\n",
       "      <td>2013-11-23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   geonameid                 name            asciiname  \\\n",
       "0    3038832                 Vila                 Vila   \n",
       "1    3038999               Soldeu               Soldeu   \n",
       "2    3039077              Sispony              Sispony   \n",
       "3    3039154            El Tarter            El Tarter   \n",
       "4    3039163  Sant Julià de Lòria  Sant Julia de Loria   \n",
       "\n",
       "                                      alternatenames  latitude  longitude  \\\n",
       "0                                    Casas Vila,Vila  42.53176    1.56654   \n",
       "1  Sol'deu,Soldeu,surudeu,swldw,Сольдеу,סולדאו,سو...  42.57688    1.66769   \n",
       "2                                            Sispony  42.53368    1.51613   \n",
       "3  Ehl Tarter,El Tarter,El Tarter - Principau d'A...  42.57952    1.65362   \n",
       "4  San Julia,San Julià,Sant Julia de Loria,Sant J...  42.46372    1.49129   \n",
       "\n",
       "  feature class feature code country code  cc2 admin1 code admin2 code  \\\n",
       "0             P          PPL           AD  NaN          03         NaN   \n",
       "1             P          PPL           AD  NaN          02         NaN   \n",
       "2             P          PPL           AD  NaN          04         NaN   \n",
       "3             P          PPL           AD  NaN          02         NaN   \n",
       "4             P         PPLA           AD  NaN          06         NaN   \n",
       "\n",
       "  admin3 code admin4 code  population  elevation     dem        timezone  \\\n",
       "0         NaN         NaN        1418        NaN  1318.0  Europe/Andorra   \n",
       "1         NaN         NaN         602        NaN  1832.0  Europe/Andorra   \n",
       "2         NaN         NaN         833        NaN  1315.0  Europe/Andorra   \n",
       "3         NaN         NaN        1052        NaN  1721.0  Europe/Andorra   \n",
       "4         NaN         NaN        8022        NaN   921.0  Europe/Andorra   \n",
       "\n",
       "  modification date  \n",
       "0        2024-11-04  \n",
       "1        2017-11-06  \n",
       "2        2024-11-04  \n",
       "3        2012-11-03  \n",
       "4        2013-11-23  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data/cities500.zip\",\n",
    "                 sep='\\t',\n",
    "                 names=['geonameid', 'name', 'asciiname', 'alternatenames', 'latitude', 'longitude', 'feature class', 'feature code', 'country code', 'cc2', 'admin1 code', 'admin2 code', 'admin3 code', 'admin4 code', 'population', 'elevation', 'dem', 'timezone', 'modification date'],\n",
    "                 dtype={\"admin1 code\": str, \"admin2 code\": str, \"admin3 code\": str, \"admin4 code\": str},\n",
    "                 na_values=[\"\", -9999],\n",
    "                 keep_default_na=False\n",
    "                )\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c76d3d8f-c64f-432b-97f0-90b23ca4e6e3",
   "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>geonameid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>population</th>\n",
       "      <th>elevation</th>\n",
       "      <th>dem</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.132350e+05</td>\n",
       "      <td>213235.000000</td>\n",
       "      <td>213235.000000</td>\n",
       "      <td>2.132350e+05</td>\n",
       "      <td>33756.000000</td>\n",
       "      <td>212913.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.642331e+06</td>\n",
       "      <td>31.117734</td>\n",
       "      <td>11.012055</td>\n",
       "      <td>1.854485e+04</td>\n",
       "      <td>300.860765</td>\n",
       "      <td>405.971509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.650112e+06</td>\n",
       "      <td>22.333469</td>\n",
       "      <td>71.131692</td>\n",
       "      <td>1.954919e+05</td>\n",
       "      <td>386.561482</td>\n",
       "      <td>599.967773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.960000e+03</td>\n",
       "      <td>-54.933550</td>\n",
       "      <td>-179.118380</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-60.000000</td>\n",
       "      <td>-380.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.914155e+06</td>\n",
       "      <td>19.250240</td>\n",
       "      <td>-8.545760</td>\n",
       "      <td>6.110000e+02</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>53.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.002114e+06</td>\n",
       "      <td>39.914750</td>\n",
       "      <td>10.080260</td>\n",
       "      <td>1.526000e+03</td>\n",
       "      <td>201.000000</td>\n",
       "      <td>186.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.299792e+06</td>\n",
       "      <td>47.311645</td>\n",
       "      <td>40.055895</td>\n",
       "      <td>5.750000e+03</td>\n",
       "      <td>350.000000</td>\n",
       "      <td>456.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.313280e+07</td>\n",
       "      <td>78.223340</td>\n",
       "      <td>179.364510</td>\n",
       "      <td>2.231547e+07</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>5622.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          geonameid       latitude      longitude    population     elevation  \\\n",
       "count  2.132350e+05  213235.000000  213235.000000  2.132350e+05  33756.000000   \n",
       "mean   3.642331e+06      31.117734      11.012055  1.854485e+04    300.860765   \n",
       "std    2.650112e+06      22.333469      71.131692  1.954919e+05    386.561482   \n",
       "min    2.960000e+03     -54.933550    -179.118380  0.000000e+00    -60.000000   \n",
       "25%    1.914155e+06      19.250240      -8.545760  6.110000e+02     67.000000   \n",
       "50%    3.002114e+06      39.914750      10.080260  1.526000e+03    201.000000   \n",
       "75%    4.299792e+06      47.311645      40.055895  5.750000e+03    350.000000   \n",
       "max    1.313280e+07      78.223340     179.364510  2.231547e+07   4402.000000   \n",
       "\n",
       "                 dem  \n",
       "count  212913.000000  \n",
       "mean      405.971509  \n",
       "std       599.967773  \n",
       "min      -380.000000  \n",
       "25%        53.000000  \n",
       "50%       186.000000  \n",
       "75%       456.000000  \n",
       "max      5622.000000  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9f5274a6-f80d-477a-8cd8-246458799547",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "geonameid                 0\n",
       "name                      0\n",
       "asciiname                16\n",
       "alternatenames        36552\n",
       "latitude                  0\n",
       "longitude                 0\n",
       "feature class             0\n",
       "feature code              0\n",
       "country code              0\n",
       "cc2                  213146\n",
       "admin1 code              58\n",
       "admin2 code           24781\n",
       "admin3 code          113051\n",
       "admin4 code          180168\n",
       "population                0\n",
       "elevation            179479\n",
       "dem                       0\n",
       "timezone                  0\n",
       "modification date         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7b5b93ff-ff4d-478f-8f05-dd46ba9d1a3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['admin3 code', 'admin4 code'], dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns[12:14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "c30b2f3a-75cc-4d8d-9f00-3b4bf6098f21",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name 0\n",
      "asciiname 0\n",
      "alternatenames 0\n",
      "feature class 0\n",
      "feature code 0\n",
      "country code 0\n",
      "cc2 0\n",
      "admin1 code 176015\n",
      "admin2 code 158958\n",
      "admin3 code 72962\n",
      "admin4 code 17972\n",
      "timezone 0\n",
      "modification date 0\n"
     ]
    }
   ],
   "source": [
    "for col in df.select_dtypes(object).columns:\n",
    "    print(col, df[col].str.isdigit().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0721d8a3-0c54-45fe-b66c-916722b66f61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.706632783006854"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df[\"alternatenames\"].str.count(\",\") + 1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f3156333-f324-48f8-865f-49cfc79cbdf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "def average_alternate_names(group):\n",
    "    return (group[\"alternatenames\"].str.count(\",\") + 1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3e481b17-3c4a-4c37-a2f3-a53424815da3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.706632783006854"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_alternate_names(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3391e367-46e1-428a-99d8-df9155c5e6ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "feature code\n",
       "PPL       5.354597\n",
       "PPLA     18.257585\n",
       "PPLA2     7.263436\n",
       "PPLA3     4.579491\n",
       "PPLA4     5.186953\n",
       "PPLA5     2.800000\n",
       "PPLC     50.439834\n",
       "PPLCH     2.000000\n",
       "PPLF      2.500000\n",
       "PPLG     25.571429\n",
       "PPLH      4.100000\n",
       "PPLL      2.838462\n",
       "PPLQ      5.263158\n",
       "PPLR      2.666667\n",
       "PPLS      5.222222\n",
       "PPLW      7.200000\n",
       "PPLX      2.789773\n",
       "STLMT     7.891304\n",
       "dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"feature code\").apply(average_alternate_names, include_groups=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8bda659f-edd5-4782-9cfb-7dd660a8ac7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18253                                         پیرس، انٹاریو\n",
       "73599     Baariis,Bahliz,Baris,Lungsod ng Paris,Lutece,L...\n",
       "189620    Paris,Parizh,Peris,ba li,barys,paeliseu,parisu...\n",
       "191215    Parizh,Peris,barys,parys  aylynwy,Париж,Перис,...\n",
       "192067    Paris,Parizh,ba li,barys,parys  kntaky,Париж,П...\n",
       "193256                                         Parizh,Париж\n",
       "195825    PHT,Paris,Parizh,barys,parys  tnsy,Париж,Парис...\n",
       "196648    PRX,Paris,Parizh,barys,parys  tgzas,Париж,Пари...\n",
       "199896    Paris,Paris Hill,Parizh,Peris,barys,pa li si,p...\n",
       "204424    Paris,Peris,parys,parys  pnsylwanya,pyrs,Парис...\n",
       "207996    Paris,Parizh,bars,parys  aydahw,perisa,Париж,П...\n",
       "Name: alternatenames, dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.name==\"Paris\", \"alternatenames\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "60f38502-3131-4c4f-805e-f866eaaddda9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Paris',\n",
       " 'Parizh',\n",
       " 'Peris',\n",
       " 'ba li',\n",
       " 'barys',\n",
       " 'paeliseu',\n",
       " 'parisu',\n",
       " 'parys',\n",
       " 'perisa',\n",
       " 'pyrs',\n",
       " 'Париж',\n",
       " 'Парис',\n",
       " 'Перис',\n",
       " 'باريس',\n",
       " 'پاریس',\n",
       " 'پیرس',\n",
       " 'पेरिस',\n",
       " 'パリス',\n",
       " '巴黎',\n",
       " '패리스']"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[189620, \"alternatenames\"].split(\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bc96c5be-e138-43d5-b428-279fd9cd67de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "268.0"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"alternatenames\"].str.count(\",\").max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d7bc87f1-6d10-4404-949d-92863c415146",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Jerusalem'"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"alternatenames\"].str.count(\",\").idxmax(), \"name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "75ebed8b-a4e8-4a32-bdca-0de004ab4355",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Adonai-jireh',\n",
       " 'Aelia Capitolina',\n",
       " 'Al Quds',\n",
       " 'Al-Kuds',\n",
       " 'Al-Qudis',\n",
       " 'Al-Quds',\n",
       " 'Al-Qudıs',\n",
       " 'Ariel',\n",
       " 'Baitul Maqdis',\n",
       " 'Baitulmuqaddis',\n",
       " 'Bajtul Makudis',\n",
       " 'Bayt al-Maqdis',\n",
       " 'Bayt al-Muqaddas',\n",
       " 'Cherusalem',\n",
       " 'City of David',\n",
       " 'Colonia Aelia Capitolina',\n",
       " 'Djeruzalem',\n",
       " 'El Kuds',\n",
       " 'El Quds esh Sherif',\n",
       " 'Erusagem',\n",
       " 'Erusalim',\n",
       " 'Geruesalem',\n",
       " 'Gerusalem',\n",
       " 'Gerusalemme',\n",
       " 'Gerüsalem',\n",
       " 'Gierusalemme',\n",
       " 'Girusalemmi',\n",
       " 'Herusale',\n",
       " 'Herusalem',\n",
       " 'Herusalẽ',\n",
       " 'Hierosolyma',\n",
       " 'Hierousalem',\n",
       " 'Hierousalēm',\n",
       " 'Hierusalem',\n",
       " 'Hiruharama',\n",
       " 'IJerusalem',\n",
       " 'Ia-lo-sak-leng',\n",
       " 'Ia-lo-sat-leng',\n",
       " 'Iarusaileim',\n",
       " 'Iarúsailéim',\n",
       " 'Iebous',\n",
       " 'Iebus',\n",
       " 'Ierosolyma',\n",
       " 'Ierousalem',\n",
       " 'Ierousalimu',\n",
       " 'Ierusalem',\n",
       " 'Ierusalema',\n",
       " 'Ierusalim',\n",
       " 'Ir David',\n",
       " 'Ir Ha-Qdoosha',\n",
       " 'Ir Ha-Qodesh',\n",
       " 'Iyerusalim',\n",
       " 'Ià-lô-sák-lēng',\n",
       " 'Iâ-lō͘-sat-léng',\n",
       " 'Iýerusalim',\n",
       " 'JRS',\n",
       " 'Jarusalen',\n",
       " 'Jeriwsalem',\n",
       " 'Jerozale',\n",
       " 'Jerozalė',\n",
       " 'Jerozolema',\n",
       " 'Jerozolima',\n",
       " 'Jerozolëma',\n",
       " 'Jerusalem',\n",
       " 'Jerusalemi',\n",
       " 'Jerusalemo',\n",
       " 'Jerusalemu',\n",
       " 'Jerusalen',\n",
       " 'Jerusalim',\n",
       " 'Jerusalèm',\n",
       " 'Jerusalém',\n",
       " 'Jerusalén',\n",
       " 'Jeruusalemm',\n",
       " 'Jeruzale',\n",
       " 'Jeruzalem',\n",
       " 'Jeruzaleme',\n",
       " 'Jeruzalim',\n",
       " 'Jeruzalém',\n",
       " 'Jeruzalė',\n",
       " 'Jeruzsalem',\n",
       " 'Jeruzsálem',\n",
       " 'Jerúsalem',\n",
       " 'Jerúsálẹ́mù',\n",
       " 'Jorsala',\n",
       " 'Jorsalaborg',\n",
       " 'Jorsalir',\n",
       " 'Jérusalem',\n",
       " 'Jórsalaborg',\n",
       " 'Jórsalir',\n",
       " 'Kouds',\n",
       " 'Kudues',\n",
       " 'Kudus',\n",
       " 'Kudüs',\n",
       " 'Kuuds-GӀala',\n",
       " 'Moria',\n",
       " 'Morias',\n",
       " 'Orcalim',\n",
       " 'Orselim',\n",
       " 'Orşelîm',\n",
       " 'Quddus',\n",
       " 'Qudus',\n",
       " 'Queds',\n",
       " 'Qüds',\n",
       " 'Salem',\n",
       " 'Shalem',\n",
       " 'Sion',\n",
       " 'Solyma',\n",
       " 'Ursalimmu',\n",
       " 'Urselim',\n",
       " 'Urshalim',\n",
       " 'Urusalim',\n",
       " 'Urušalim',\n",
       " 'Urşelim',\n",
       " 'Uršalimmu',\n",
       " 'Xerusalen',\n",
       " 'Xerusalén',\n",
       " 'Ya-lu-sat-lang',\n",
       " 'Yerusalem',\n",
       " 'Yerusalemi',\n",
       " 'Yerusalemu',\n",
       " 'Yerusalémi',\n",
       " 'Yerushalayim',\n",
       " 'Yirushalayim',\n",
       " 'Yirushalāyim',\n",
       " 'Yâ-lu-sat-lâng',\n",
       " 'Yérusalem',\n",
       " 'Zion',\n",
       " 'al-Balat',\n",
       " 'al-Quds as-Sarif',\n",
       " 'al-Quds aš-Šarīf',\n",
       " 'albla',\n",
       " 'alqds',\n",
       " 'alqds alshryf',\n",
       " 'alquds',\n",
       " 'aryyyl',\n",
       " 'auwrshalym',\n",
       " 'awly alqbltyn',\n",
       " 'awrsalm',\n",
       " 'awrshlym',\n",
       " 'awrshlym alqds',\n",
       " 'awrslyman',\n",
       " 'bayt\\u200calmuqdas',\n",
       " 'byt almqds',\n",
       " 'erucalem',\n",
       " 'erusaremu',\n",
       " 'haqodes',\n",
       " 'ierusalimi',\n",
       " 'jerusalama',\n",
       " 'jerusalem',\n",
       " 'jerusalema',\n",
       " 'jeruselama',\n",
       " 'lqds',\n",
       " 'mdynt alqds',\n",
       " 'mrya',\n",
       " 'mworiyah',\n",
       " 'mwryh',\n",
       " 'quds',\n",
       " 'qudus',\n",
       " 'qۇds',\n",
       " 'salem',\n",
       " 'salym',\n",
       " 'shywn',\n",
       " 'slm',\n",
       " 'wrshlym',\n",
       " 'yarusalama',\n",
       " 'ybws',\n",
       " 'ye lu sa leng',\n",
       " 'ye ru sa lem',\n",
       " 'yebws',\n",
       " 'yelusallem',\n",
       " 'yerwsalami',\n",
       " 'yerwsalayim',\n",
       " 'yerwselem',\n",
       " 'yrwshlm',\n",
       " 'yrwslm',\n",
       " 'yrwslym',\n",
       " 'ywrshەlym',\n",
       " 'ziywon',\n",
       " 'zywn',\n",
       " 'Αριηλ',\n",
       " 'Ιεβους',\n",
       " 'Ιεροσολυμα',\n",
       " 'Ιεροσόλυμα',\n",
       " 'Ιερουσαλήμ',\n",
       " 'Ιερουσαλημ',\n",
       " 'Μωριας',\n",
       " 'Σαλημ',\n",
       " 'Σιων',\n",
       " 'Σολυμα',\n",
       " 'Єрусалим',\n",
       " 'Іерусалім',\n",
       " 'Їєроусалимъ',\n",
       " 'Јерусалим',\n",
       " 'Байтул Макъдис',\n",
       " 'Ерусалим',\n",
       " 'Иерусалим',\n",
       " 'Йерусалим',\n",
       " 'Кудус',\n",
       " 'Къудс-ГӀала',\n",
       " 'Уршалим',\n",
       " 'Երուսաղեմ',\n",
       " 'אֵילִיָּה קַפִּיטוֹלִינָה',\n",
       " 'הַקֹּדֶשׁ',\n",
       " 'יְבוּס',\n",
       " 'יְרוּשְׁלֶם',\n",
       " 'יְרוּשָׁלַיִם',\n",
       " 'יְרוּשָׁלַםִ',\n",
       " 'יְרוּשָׁלָםִ',\n",
       " 'יבוס',\n",
       " 'ירושלים',\n",
       " 'ירושלם',\n",
       " 'מוֹרִיָּה',\n",
       " 'מוריה',\n",
       " 'צִיּוֹן',\n",
       " 'ציון',\n",
       " 'שָׁלֵם',\n",
       " 'שלם',\n",
       " 'أورسالم',\n",
       " 'أورشليم',\n",
       " 'أورشليم القدس',\n",
       " 'أولى القبلتين',\n",
       " 'أُورشَليم',\n",
       " 'إيلياء',\n",
       " 'ئورشەلیم',\n",
       " 'اريئيل',\n",
       " 'البلا',\n",
       " 'القدس',\n",
       " 'القدس الشريف',\n",
       " 'القُدس',\n",
       " 'القُدْس',\n",
       " 'اورسلیمان',\n",
       " 'اورشلیم',\n",
       " 'بيت المقدس',\n",
       " 'بَیْت\\u200cالمُقدَّس',\n",
       " 'بیت المقدس',\n",
       " 'ساليم',\n",
       " 'صهيون',\n",
       " 'قُدس',\n",
       " 'قۇدس',\n",
       " 'لقدس',\n",
       " 'مدينة القدس',\n",
       " 'مريّا',\n",
       " 'ورشليم',\n",
       " 'يبوس',\n",
       " 'یروشلم',\n",
       " 'ܐܘܪܫܠܡ',\n",
       " 'ܨܗܝܘܢ',\n",
       " 'ޤުދުސް',\n",
       " 'जेरुसलेम',\n",
       " 'जेरुसेलम',\n",
       " 'जेरूसलम',\n",
       " 'यरुशलम',\n",
       " 'জেরুসালেম',\n",
       " 'ਜੇਰੂਸਲਮ',\n",
       " 'ଜେରୁସାଲେମ',\n",
       " 'எருசலேம்',\n",
       " 'జెరూసలేం',\n",
       " 'ಜೆರುಸಲೆಂ',\n",
       " 'ജെറുസലേം',\n",
       " 'เยรูซาเลม',\n",
       " 'ເຢ\\u200bຣູ\\u200bຊາ\\u200bເລັມ',\n",
       " 'ཇེ་རུ་ས་ལེམ།',\n",
       " 'ဂျေရုဆလင်မြို့',\n",
       " 'იერუსალიმი',\n",
       " 'እየሩሳሌም',\n",
       " 'エルサレム',\n",
       " '耶路撒冷',\n",
       " '예루살렘',\n",
       " '𐌹𐌰𐌹𐍂𐌿𐍃𐌰𐌿𐌻𐍅𐌼𐌰']"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"alternatenames\"].str.count(\",\").idxmax(), \"alternatenames\"].split(\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "9ef8e729-64f8-482a-9039-c8a251184aed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2), (250, 9)]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var = pd.read_html(\"https://www.geonames.org/countries/\",\n",
    "                   na_values=\"\",\n",
    "                   keep_default_na=False)\n",
    "[d.shape for d in var]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "344d3328-67e3-48a1-9e57-91ae4272abe0",
   "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>ISO-3166 alpha2</th>\n",
       "      <th>ISO-3166 alpha3</th>\n",
       "      <th>ISO-3166 numeric</th>\n",
       "      <th>fips</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Area in km²</th>\n",
       "      <th>Population</th>\n",
       "      <th>Continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AE</td>\n",
       "      <td>ARE</td>\n",
       "      <td>784</td>\n",
       "      <td>AE</td>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>Abu Dhabi</td>\n",
       "      <td>82880.0</td>\n",
       "      <td>9630959</td>\n",
       "      <td>AS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AF</td>\n",
       "      <td>AFG</td>\n",
       "      <td>4</td>\n",
       "      <td>AF</td>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Kabul</td>\n",
       "      <td>647500.0</td>\n",
       "      <td>37172386</td>\n",
       "      <td>AS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AG</td>\n",
       "      <td>ATG</td>\n",
       "      <td>28</td>\n",
       "      <td>AC</td>\n",
       "      <td>Antigua and Barbuda</td>\n",
       "      <td>St. John's</td>\n",
       "      <td>443.0</td>\n",
       "      <td>96286</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AI</td>\n",
       "      <td>AIA</td>\n",
       "      <td>660</td>\n",
       "      <td>AV</td>\n",
       "      <td>Anguilla</td>\n",
       "      <td>The Valley</td>\n",
       "      <td>102.0</td>\n",
       "      <td>13254</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>YE</td>\n",
       "      <td>YEM</td>\n",
       "      <td>887</td>\n",
       "      <td>YM</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>Sanaa</td>\n",
       "      <td>527970.0</td>\n",
       "      <td>28498687</td>\n",
       "      <td>AS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>YT</td>\n",
       "      <td>MYT</td>\n",
       "      <td>175</td>\n",
       "      <td>MF</td>\n",
       "      <td>Mayotte</td>\n",
       "      <td>Mamoudzou</td>\n",
       "      <td>374.0</td>\n",
       "      <td>279471</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>ZA</td>\n",
       "      <td>ZAF</td>\n",
       "      <td>710</td>\n",
       "      <td>SF</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>Pretoria</td>\n",
       "      <td>1219912.0</td>\n",
       "      <td>57779622</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>ZM</td>\n",
       "      <td>ZMB</td>\n",
       "      <td>894</td>\n",
       "      <td>ZA</td>\n",
       "      <td>Zambia</td>\n",
       "      <td>Lusaka</td>\n",
       "      <td>752614.0</td>\n",
       "      <td>17351822</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>250 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ISO-3166 alpha2 ISO-3166 alpha3  ISO-3166 numeric fips  \\\n",
       "0                AD             AND                20   AN   \n",
       "1                AE             ARE               784   AE   \n",
       "2                AF             AFG                 4   AF   \n",
       "3                AG             ATG                28   AC   \n",
       "4                AI             AIA               660   AV   \n",
       "..              ...             ...               ...  ...   \n",
       "245              YE             YEM               887   YM   \n",
       "246              YT             MYT               175   MF   \n",
       "247              ZA             ZAF               710   SF   \n",
       "248              ZM             ZMB               894   ZA   \n",
       "249              ZW             ZWE               716   ZI   \n",
       "\n",
       "                  Country           Capital  Area in km²  Population Continent  \n",
       "0                 Andorra  Andorra la Vella        468.0       77006        EU  \n",
       "1    United Arab Emirates         Abu Dhabi      82880.0     9630959        AS  \n",
       "2             Afghanistan             Kabul     647500.0    37172386        AS  \n",
       "3     Antigua and Barbuda        St. John's        443.0       96286        NA  \n",
       "4                Anguilla        The Valley        102.0       13254        NA  \n",
       "..                    ...               ...          ...         ...       ...  \n",
       "245                 Yemen             Sanaa     527970.0    28498687        AS  \n",
       "246               Mayotte         Mamoudzou        374.0      279471        AF  \n",
       "247          South Africa          Pretoria    1219912.0    57779622        AF  \n",
       "248                Zambia            Lusaka     752614.0    17351822        AF  \n",
       "249              Zimbabwe            Harare     390580.0    14439018        AF  \n",
       "\n",
       "[250 rows x 9 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pays = var[1]\n",
    "df_pays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "76365a8b-48b4-4390-b2d3-1eb1cffcfd21",
   "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>geonameid</th>\n",
       "      <th>name</th>\n",
       "      <th>asciiname</th>\n",
       "      <th>alternatenames</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>feature class</th>\n",
       "      <th>feature code</th>\n",
       "      <th>country code</th>\n",
       "      <th>cc2</th>\n",
       "      <th>...</th>\n",
       "      <th>modification date</th>\n",
       "      <th>ISO-3166 alpha2</th>\n",
       "      <th>ISO-3166 alpha3</th>\n",
       "      <th>ISO-3166 numeric</th>\n",
       "      <th>fips</th>\n",
       "      <th>Country</th>\n",
       "      <th>Capital</th>\n",
       "      <th>Area in km²</th>\n",
       "      <th>Population</th>\n",
       "      <th>Continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3038832</td>\n",
       "      <td>Vila</td>\n",
       "      <td>Vila</td>\n",
       "      <td>Casas Vila,Vila</td>\n",
       "      <td>42.53176</td>\n",
       "      <td>1.56654</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-11-04</td>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3038999</td>\n",
       "      <td>Soldeu</td>\n",
       "      <td>Soldeu</td>\n",
       "      <td>Sol'deu,Soldeu,surudeu,swldw,Сольдеу,סולדאו,سو...</td>\n",
       "      <td>42.57688</td>\n",
       "      <td>1.66769</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2017-11-06</td>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3039077</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>Sispony</td>\n",
       "      <td>42.53368</td>\n",
       "      <td>1.51613</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-11-04</td>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3039154</td>\n",
       "      <td>El Tarter</td>\n",
       "      <td>El Tarter</td>\n",
       "      <td>Ehl Tarter,El Tarter,El Tarter - Principau d'A...</td>\n",
       "      <td>42.57952</td>\n",
       "      <td>1.65362</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2012-11-03</td>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3039163</td>\n",
       "      <td>Sant Julià de Lòria</td>\n",
       "      <td>Sant Julia de Loria</td>\n",
       "      <td>San Julia,San Julià,Sant Julia de Loria,Sant J...</td>\n",
       "      <td>42.46372</td>\n",
       "      <td>1.49129</td>\n",
       "      <td>P</td>\n",
       "      <td>PPLA</td>\n",
       "      <td>AD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2013-11-23</td>\n",
       "      <td>AD</td>\n",
       "      <td>AND</td>\n",
       "      <td>20</td>\n",
       "      <td>AN</td>\n",
       "      <td>Andorra</td>\n",
       "      <td>Andorra la Vella</td>\n",
       "      <td>468.0</td>\n",
       "      <td>77006</td>\n",
       "      <td>EU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213230</th>\n",
       "      <td>895417</td>\n",
       "      <td>Banket</td>\n",
       "      <td>Banket</td>\n",
       "      <td>Banket,Banket Junction</td>\n",
       "      <td>-17.38333</td>\n",
       "      <td>30.40000</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>ZW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-12-02</td>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213231</th>\n",
       "      <td>1085510</td>\n",
       "      <td>Epworth</td>\n",
       "      <td>Epworth</td>\n",
       "      <td>Epworth</td>\n",
       "      <td>-17.89000</td>\n",
       "      <td>31.14750</td>\n",
       "      <td>P</td>\n",
       "      <td>PPLX</td>\n",
       "      <td>ZW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-12-02</td>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213232</th>\n",
       "      <td>1106542</td>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Chitungwiza</td>\n",
       "      <td>Chitungviza,Chitungwiza,Chytungviza,Citungviza...</td>\n",
       "      <td>-18.01274</td>\n",
       "      <td>31.07555</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>ZW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-12-02</td>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213233</th>\n",
       "      <td>13132735</td>\n",
       "      <td>Harare Western Suburbs</td>\n",
       "      <td>Harare Western Suburbs</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-17.84150</td>\n",
       "      <td>30.87674</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>ZW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-12-02</td>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213234</th>\n",
       "      <td>13132736</td>\n",
       "      <td>Mhangura Mine</td>\n",
       "      <td>Mhangura Mine</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-16.89196</td>\n",
       "      <td>30.15902</td>\n",
       "      <td>P</td>\n",
       "      <td>PPL</td>\n",
       "      <td>ZW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-12-02</td>\n",
       "      <td>ZW</td>\n",
       "      <td>ZWE</td>\n",
       "      <td>716</td>\n",
       "      <td>ZI</td>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>Harare</td>\n",
       "      <td>390580.0</td>\n",
       "      <td>14439018</td>\n",
       "      <td>AF</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>213235 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        geonameid                    name               asciiname  \\\n",
       "0         3038832                    Vila                    Vila   \n",
       "1         3038999                  Soldeu                  Soldeu   \n",
       "2         3039077                 Sispony                 Sispony   \n",
       "3         3039154               El Tarter               El Tarter   \n",
       "4         3039163     Sant Julià de Lòria     Sant Julia de Loria   \n",
       "...           ...                     ...                     ...   \n",
       "213230     895417                  Banket                  Banket   \n",
       "213231    1085510                 Epworth                 Epworth   \n",
       "213232    1106542             Chitungwiza             Chitungwiza   \n",
       "213233   13132735  Harare Western Suburbs  Harare Western Suburbs   \n",
       "213234   13132736           Mhangura Mine           Mhangura Mine   \n",
       "\n",
       "                                           alternatenames  latitude  \\\n",
       "0                                         Casas Vila,Vila  42.53176   \n",
       "1       Sol'deu,Soldeu,surudeu,swldw,Сольдеу,סולדאו,سو...  42.57688   \n",
       "2                                                 Sispony  42.53368   \n",
       "3       Ehl Tarter,El Tarter,El Tarter - Principau d'A...  42.57952   \n",
       "4       San Julia,San Julià,Sant Julia de Loria,Sant J...  42.46372   \n",
       "...                                                   ...       ...   \n",
       "213230                             Banket,Banket Junction -17.38333   \n",
       "213231                                            Epworth -17.89000   \n",
       "213232  Chitungviza,Chitungwiza,Chytungviza,Citungviza... -18.01274   \n",
       "213233                                                NaN -17.84150   \n",
       "213234                                                NaN -16.89196   \n",
       "\n",
       "        longitude feature class feature code country code  cc2  ...  \\\n",
       "0         1.56654             P          PPL           AD  NaN  ...   \n",
       "1         1.66769             P          PPL           AD  NaN  ...   \n",
       "2         1.51613             P          PPL           AD  NaN  ...   \n",
       "3         1.65362             P          PPL           AD  NaN  ...   \n",
       "4         1.49129             P         PPLA           AD  NaN  ...   \n",
       "...           ...           ...          ...          ...  ...  ...   \n",
       "213230   30.40000             P          PPL           ZW  NaN  ...   \n",
       "213231   31.14750             P         PPLX           ZW  NaN  ...   \n",
       "213232   31.07555             P          PPL           ZW  NaN  ...   \n",
       "213233   30.87674             P          PPL           ZW  NaN  ...   \n",
       "213234   30.15902             P          PPL           ZW  NaN  ...   \n",
       "\n",
       "       modification date ISO-3166 alpha2 ISO-3166 alpha3 ISO-3166 numeric  \\\n",
       "0             2024-11-04              AD             AND               20   \n",
       "1             2017-11-06              AD             AND               20   \n",
       "2             2024-11-04              AD             AND               20   \n",
       "3             2012-11-03              AD             AND               20   \n",
       "4             2013-11-23              AD             AND               20   \n",
       "...                  ...             ...             ...              ...   \n",
       "213230        2024-12-02              ZW             ZWE              716   \n",
       "213231        2024-12-02              ZW             ZWE              716   \n",
       "213232        2024-12-02              ZW             ZWE              716   \n",
       "213233        2024-12-02              ZW             ZWE              716   \n",
       "213234        2024-12-02              ZW             ZWE              716   \n",
       "\n",
       "        fips   Country           Capital Area in km² Population Continent  \n",
       "0         AN   Andorra  Andorra la Vella       468.0      77006        EU  \n",
       "1         AN   Andorra  Andorra la Vella       468.0      77006        EU  \n",
       "2         AN   Andorra  Andorra la Vella       468.0      77006        EU  \n",
       "3         AN   Andorra  Andorra la Vella       468.0      77006        EU  \n",
       "4         AN   Andorra  Andorra la Vella       468.0      77006        EU  \n",
       "...      ...       ...               ...         ...        ...       ...  \n",
       "213230    ZI  Zimbabwe            Harare    390580.0   14439018        AF  \n",
       "213231    ZI  Zimbabwe            Harare    390580.0   14439018        AF  \n",
       "213232    ZI  Zimbabwe            Harare    390580.0   14439018        AF  \n",
       "213233    ZI  Zimbabwe            Harare    390580.0   14439018        AF  \n",
       "213234    ZI  Zimbabwe            Harare    390580.0   14439018        AF  \n",
       "\n",
       "[213235 rows x 28 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all = pd.merge(df, df_pays, left_on=\"country code\", right_on=\"ISO-3166 alpha2\", how=\"left\")\n",
    "df_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "f23468d9-a3f4-43c4-be72-2d80a69fddcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Shanghai'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"population\"].idxmax(), \"name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "80430406-ee32-40de-8c59-cae88a77d1b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Continent\n",
       "AF             Kinshasa\n",
       "AN    Port-aux-Français\n",
       "AS             Shanghai\n",
       "EU               Moscow\n",
       "NA          Mexico City\n",
       "OC               Sydney\n",
       "SA            São Paulo\n",
       "dtype: object"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all.groupby(\"Continent\").apply(lambda g: g.loc[g[\"population\"].idxmax(), \"name\"], include_groups=False)"
   ]
  }
 ],
 "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": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}