4-visualizations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fb273852",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a552668",
   "metadata": {},
   "source": [
    "- Here are the visualizations used to answer the Business Questions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "67bda6cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('fortune_2000_in_2021_cleaned_transformed.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e80f8741",
   "metadata": {},
   "source": [
    "# 1. Which countries have the highest number of companies in the list?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4adea016",
   "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>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Kingdom</th>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Korea</th>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hong Kong</th>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>France</th>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taiwan</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italy</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Spain</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ireland</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>227</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Country\n",
       "United States       590\n",
       "China               291\n",
       "Japan               215\n",
       "United Kingdom       66\n",
       "South Korea          62\n",
       "Hong Kong            59\n",
       "Canada               56\n",
       "Germany              54\n",
       "France               53\n",
       "India                50\n",
       "Taiwan               45\n",
       "Switzerland          42\n",
       "Sweden               32\n",
       "Australia            31\n",
       "Russia               24\n",
       "Italy                23\n",
       "Brazil               21\n",
       "Spain                21\n",
       "Netherlands          20\n",
       "Ireland              18\n",
       "Others              227"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe of the top 20 countries based on number of companies in the list\n",
    "df_countries_highest = pd.DataFrame(df['Country'].value_counts().head(20))\n",
    "# Add an index and value for others:\n",
    "df_countries_highest.loc['Others'] = len(df) - int(df_countries_highest['Country'].sum())\n",
    "df_countries_highest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d8a00e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.barh(df_countries_highest.index, df_countries_highest[\"Country\"])\n",
    "\n",
    "plt.title(\"Number of companies in Fortune 2000 list in 2021 (by Country)\", size=20, loc=\"center\")\n",
    "plt.xlabel('Number of Companies', size=15)\n",
    "plt.ylabel('Country', size=15)\n",
    "\n",
    "plt.gca().invert_yaxis()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73180b80",
   "metadata": {},
   "source": [
    "# 2. What share of companies on the list do the big two (USA and China) have in comparison to the rest of the world?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9216caf5",
   "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>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>1119</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Country\n",
       "United States      590\n",
       "China              291\n",
       "Others            1119"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dataframe of top 2 countries (USA and China and others) based on number of companies in the list\n",
    "df_us_china_others = pd.DataFrame(df['Country'].value_counts().head(2))\n",
    "# Add an index and value for others:\n",
    "df_us_china_others.loc['Others'] = len(df) - int(df_us_china_others['Country'].sum())\n",
    "df_us_china_others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "27822340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a pie chart\n",
    "plt.figure(figsize=(10,7))\n",
    "plt.pie(df_us_china_others['Country'], labels=df_us_china_others.index, startangle=90, shadow=True)\n",
    "plt.title(\"Share of companies in the Fortune 2000 for 2021 (USA, China and Others)\", size=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "956ef9ce",
   "metadata": {},
   "source": [
    "# 3. Which countries have the highest number of companies in the list that turned a profit in 2021?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d01b32da",
   "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>Rank</th>\n",
       "      <th>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Assets</th>\n",
       "      <th>Market Value</th>\n",
       "      <th>Sales (in millions)</th>\n",
       "      <th>Profit (in millions)</th>\n",
       "      <th>Assets (in millions)</th>\n",
       "      <th>Market Value (in millions)</th>\n",
       "      <th>In profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ICBC</td>\n",
       "      <td>China</td>\n",
       "      <td>$190.5 B</td>\n",
       "      <td>$45.8 B</td>\n",
       "      <td>$4,914.7 B</td>\n",
       "      <td>$249.5 B</td>\n",
       "      <td>190500.0</td>\n",
       "      <td>45800.0</td>\n",
       "      <td>4914700.0</td>\n",
       "      <td>249500.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>JPMorgan Chase</td>\n",
       "      <td>United States</td>\n",
       "      <td>$136.2 B</td>\n",
       "      <td>$40.4 B</td>\n",
       "      <td>$3,689.3 B</td>\n",
       "      <td>$464.8 B</td>\n",
       "      <td>136200.0</td>\n",
       "      <td>40400.0</td>\n",
       "      <td>3689300.0</td>\n",
       "      <td>464800.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank            Name        Country     Sales   Profit      Assets  \\\n",
       "0     1            ICBC          China  $190.5 B  $45.8 B  $4,914.7 B   \n",
       "1     2  JPMorgan Chase  United States  $136.2 B  $40.4 B  $3,689.3 B   \n",
       "\n",
       "  Market Value  Sales (in millions)  Profit (in millions)  \\\n",
       "0     $249.5 B             190500.0               45800.0   \n",
       "1     $464.8 B             136200.0               40400.0   \n",
       "\n",
       "   Assets (in millions)  Market Value (in millions)  In profit  \n",
       "0             4914700.0                    249500.0       True  \n",
       "1             3689300.0                    464800.0       True  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a True or False column called 'In Profit'\n",
    "def greater_than_0(x):\n",
    "    if x > 0:\n",
    "        return True\n",
    "    else:\n",
    "        return False\n",
    "df['In profit'] = df['Profit (in millions)'].apply(greater_than_0)\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6ee4e898",
   "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>Country</th>\n",
       "      <th>False</th>\n",
       "      <th>True</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Australia</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Austria</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bangladesh</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>United Arab Emirates</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>12</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>United States</td>\n",
       "      <td>106</td>\n",
       "      <td>484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Vietnam</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Country  False  True\n",
       "0              Argentina      2     0\n",
       "1              Australia      8    23\n",
       "2                Austria      1     8\n",
       "3                Bahrain      0     1\n",
       "4             Bangladesh      0     1\n",
       "..                   ...    ...   ...\n",
       "56  United Arab Emirates      0     9\n",
       "57        United Kingdom     12    54\n",
       "58         United States    106   484\n",
       "59             Venezuela      0     1\n",
       "60               Vietnam      0     5\n",
       "\n",
       "[61 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by 'Country' and 'In Profit' and unstack and reset the index\n",
    "df_countries_in_profit = df.groupby([\"Country\",\"In profit\"]).size().unstack(fill_value=0).rename_axis(None, axis=1).reset_index()\n",
    "# Cast result to a dataframe\n",
    "df_countries_in_profit = pd.DataFrame(df_countries_in_profit)\n",
    "df_countries_in_profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7a8401c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Rename columns and order by most companies in profit\n",
    "df_countries_in_profit.columns = ['Country', 'Not In Profit', 'In Profit']\n",
    "df_countries_in_profit.sort_values('In Profit', ascending=False, inplace=True)\n",
    "df_countries_in_profit_top_20 = df_countries_in_profit.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6154f24e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a grouped bar chart\n",
    "chart = df_countries_in_profit_top_20.plot(kind=\"bar\", x=\"Country\", xlabel=\"Country\", ylabel=\"In Profit\", title=\"Highest number of companies in profit by country 2021\")\n",
    "\n",
    "# Retrieve matplotlib figure to format chart size\n",
    "fig = chart.get_figure()\n",
    "fig.set_size_inches(10, 6)\n",
    "\n",
    "plt.xlabel('Country', size=15)\n",
    "plt.ylabel('Number of Companies', size=15)\n",
    "\n",
    "plt.title(\"Countries with the highest number of companies that turned a profit in Forbers 2000 for 2021\", size=18)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbbbe519",
   "metadata": {},
   "source": [
    "# 4. Which countries have the fewest number of companies in the list that turned a profit in 2021? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0a57646b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Order by lowest number of companies in profit\n",
    "df_countries_in_profit.sort_values('In Profit', ascending=True, inplace=True)\n",
    "df_countries_in_profit_bottom_20 = df_countries_in_profit.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f7062b5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a grouped bar chart\n",
    "chart = df_countries_in_profit_bottom_20.plot(kind=\"bar\", x=\"Country\", xlabel=\"Country\", ylabel=\"In Profit\", title=\"Highest number of companies in profit by country 2021\")\n",
    "\n",
    "# Retrieve matplotlib figure to format chart size\n",
    "fig = chart.get_figure()\n",
    "fig.set_size_inches(10, 6)\n",
    "\n",
    "plt.xlabel('Country', size=15)\n",
    "plt.ylabel('Number of Companies', size=15)\n",
    "\n",
    "plt.title(\"Countries with the lowest number of companies that turned a profit in Forbers 2000 for 2021\", size=18)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c65ee538",
   "metadata": {},
   "source": [
    "# 5. What are the top 20 countries based on average profit per company in the list?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3730bff8",
   "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>Profit (in millions)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Saudi Arabia</th>\n",
       "      <td>4681.469231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Venezuela</th>\n",
       "      <td>3600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>2036.035739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>1736.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>1674.608333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United States</th>\n",
       "      <td>1657.088644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denmark</th>\n",
       "      <td>1417.716667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Australia</th>\n",
       "      <td>1267.145161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canada</th>\n",
       "      <td>1235.437500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Taiwan</th>\n",
       "      <td>1208.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bangladesh</th>\n",
       "      <td>1200.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hong Kong</th>\n",
       "      <td>1198.366102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>United Arab Emirates</th>\n",
       "      <td>1184.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sweden</th>\n",
       "      <td>1135.981250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cyprus</th>\n",
       "      <td>1100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>1075.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Singapore</th>\n",
       "      <td>1065.233333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>1021.209524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kazakhstan</th>\n",
       "      <td>975.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qatar</th>\n",
       "      <td>944.283333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Profit (in millions)\n",
       "Country                                   \n",
       "Saudi Arabia                   4681.469231\n",
       "Venezuela                      3600.000000\n",
       "China                          2036.035739\n",
       "Switzerland                    1736.433333\n",
       "Russia                         1674.608333\n",
       "United States                  1657.088644\n",
       "Denmark                        1417.716667\n",
       "Australia                      1267.145161\n",
       "Canada                         1235.437500\n",
       "Taiwan                         1208.433333\n",
       "Bangladesh                     1200.000000\n",
       "Hong Kong                      1198.366102\n",
       "United Arab Emirates           1184.266667\n",
       "Sweden                         1135.981250\n",
       "Cyprus                         1100.000000\n",
       "Indonesia                      1075.250000\n",
       "Singapore                      1065.233333\n",
       "Brazil                         1021.209524\n",
       "Kazakhstan                      975.800000\n",
       "Qatar                           944.283333"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create pivot table calculating average profit per company\n",
    "df_average_profit = df.pivot_table(index='Country', values=\"Profit (in millions)\", aggfunc=\"mean\")\n",
    "\n",
    "# Sort values and get top 20\n",
    "df_average_profit.sort_values(\"Profit (in millions)\", ascending=False, inplace=True)\n",
    "df_average_profit_top_20 = df_average_profit.head(20)\n",
    "df_average_profit_top_20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "49ac4407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a chart\n",
    "plt.figure(figsize=(10,6))\n",
    "# make bar plot with matplotlib\n",
    "plt.bar(df_average_profit_top_20.index, 'Profit (in millions)',data=df_average_profit_top_20)\n",
    "plt.xlabel(\"Country\", size=15)\n",
    "plt.ylabel(\"Average profit (in millions) per company\", size=15)\n",
    "plt.title(\"Top 20 Countries by Average Profit per Company - Forbes 2000 in 2021\", size=18)\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eacaf6ae",
   "metadata": {},
   "source": [
    "# 6. Of the 10 most profitable companies, which have the best profit to sales ratio?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2aa412ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a scatter chart to give an overview of Profit vs. Sales\n",
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "plt.xlabel('Sales (in millions)', size=15)\n",
    "plt.ylabel('Profit (in millions)', size=15)\n",
    "\n",
    "plt.title(\"General overview of Profit vs.Sales for Forbes 2000 in 2021 (All companies)\", size=18)\n",
    "\n",
    "plt.scatter(df['Sales (in millions)'], df['Profit (in millions)'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "df6c25fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a new profit to sales ratio column\n",
    "df['Profit to Sales ratio'] = (df['Profit (in millions)'] / df['Sales (in millions)']) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "dc640af8",
   "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>Rank</th>\n",
       "      <th>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Assets</th>\n",
       "      <th>Market Value</th>\n",
       "      <th>Sales (in millions)</th>\n",
       "      <th>Profit (in millions)</th>\n",
       "      <th>Assets (in millions)</th>\n",
       "      <th>Market Value (in millions)</th>\n",
       "      <th>In profit</th>\n",
       "      <th>Profit to Sales ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Apple</td>\n",
       "      <td>United States</td>\n",
       "      <td>$294 B</td>\n",
       "      <td>$63.9 B</td>\n",
       "      <td>$354.1 B</td>\n",
       "      <td>$2,252.3 B</td>\n",
       "      <td>294000.0</td>\n",
       "      <td>63900.0</td>\n",
       "      <td>354100.0</td>\n",
       "      <td>2252300.0</td>\n",
       "      <td>True</td>\n",
       "      <td>21.734694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Microsoft</td>\n",
       "      <td>United States</td>\n",
       "      <td>$153.3 B</td>\n",
       "      <td>$51.3 B</td>\n",
       "      <td>$304.1 B</td>\n",
       "      <td>$1,966.6 B</td>\n",
       "      <td>153300.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>304100.0</td>\n",
       "      <td>1966600.0</td>\n",
       "      <td>True</td>\n",
       "      <td>33.463796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Saudi Arabian Oil Company (Saudi Aramco)</td>\n",
       "      <td>Saudi Arabia</td>\n",
       "      <td>$229.7 B</td>\n",
       "      <td>$49.3 B</td>\n",
       "      <td>$510.3 B</td>\n",
       "      <td>$1,897.2 B</td>\n",
       "      <td>229700.0</td>\n",
       "      <td>49300.0</td>\n",
       "      <td>510300.0</td>\n",
       "      <td>1897200.0</td>\n",
       "      <td>True</td>\n",
       "      <td>21.462778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ICBC</td>\n",
       "      <td>China</td>\n",
       "      <td>$190.5 B</td>\n",
       "      <td>$45.8 B</td>\n",
       "      <td>$4,914.7 B</td>\n",
       "      <td>$249.5 B</td>\n",
       "      <td>190500.0</td>\n",
       "      <td>45800.0</td>\n",
       "      <td>4914700.0</td>\n",
       "      <td>249500.0</td>\n",
       "      <td>True</td>\n",
       "      <td>24.041995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Berkshire Hathaway</td>\n",
       "      <td>United States</td>\n",
       "      <td>$245.5 B</td>\n",
       "      <td>$42.5 B</td>\n",
       "      <td>$873.7 B</td>\n",
       "      <td>$624.4 B</td>\n",
       "      <td>245500.0</td>\n",
       "      <td>42500.0</td>\n",
       "      <td>873700.0</td>\n",
       "      <td>624400.0</td>\n",
       "      <td>True</td>\n",
       "      <td>17.311609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>JPMorgan Chase</td>\n",
       "      <td>United States</td>\n",
       "      <td>$136.2 B</td>\n",
       "      <td>$40.4 B</td>\n",
       "      <td>$3,689.3 B</td>\n",
       "      <td>$464.8 B</td>\n",
       "      <td>136200.0</td>\n",
       "      <td>40400.0</td>\n",
       "      <td>3689300.0</td>\n",
       "      <td>464800.0</td>\n",
       "      <td>True</td>\n",
       "      <td>29.662261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Alphabet</td>\n",
       "      <td>United States</td>\n",
       "      <td>$182.4 B</td>\n",
       "      <td>$40.3 B</td>\n",
       "      <td>$319.6 B</td>\n",
       "      <td>$1,538.9 B</td>\n",
       "      <td>182400.0</td>\n",
       "      <td>40300.0</td>\n",
       "      <td>319600.0</td>\n",
       "      <td>1538900.0</td>\n",
       "      <td>True</td>\n",
       "      <td>22.094298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>China Construction Bank</td>\n",
       "      <td>China</td>\n",
       "      <td>$173.5 B</td>\n",
       "      <td>$39.3 B</td>\n",
       "      <td>$4,301.7 B</td>\n",
       "      <td>$210.4 B</td>\n",
       "      <td>173500.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>4301700.0</td>\n",
       "      <td>210400.0</td>\n",
       "      <td>True</td>\n",
       "      <td>22.651297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Agricultural Bank of China</td>\n",
       "      <td>China</td>\n",
       "      <td>$153.9 B</td>\n",
       "      <td>$31.3 B</td>\n",
       "      <td>$4,159.9 B</td>\n",
       "      <td>$140.1 B</td>\n",
       "      <td>153900.0</td>\n",
       "      <td>31300.0</td>\n",
       "      <td>4159900.0</td>\n",
       "      <td>140100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>20.337882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>Facebook</td>\n",
       "      <td>United States</td>\n",
       "      <td>$86 B</td>\n",
       "      <td>$29.1 B</td>\n",
       "      <td>$159.3 B</td>\n",
       "      <td>$870.5 B</td>\n",
       "      <td>86000.0</td>\n",
       "      <td>29100.0</td>\n",
       "      <td>159300.0</td>\n",
       "      <td>870500.0</td>\n",
       "      <td>True</td>\n",
       "      <td>33.837209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rank                                      Name        Country     Sales  \\\n",
       "5      6                                     Apple  United States    $294 B   \n",
       "14    15                                 Microsoft  United States  $153.3 B   \n",
       "4      5  Saudi Arabian Oil Company (Saudi Aramco)   Saudi Arabia  $229.7 B   \n",
       "0      1                                      ICBC          China  $190.5 B   \n",
       "2      3                        Berkshire Hathaway  United States  $245.5 B   \n",
       "1      2                            JPMorgan Chase  United States  $136.2 B   \n",
       "12    13                                  Alphabet  United States  $182.4 B   \n",
       "3      4                   China Construction Bank          China  $173.5 B   \n",
       "8      9                Agricultural Bank of China          China  $153.9 B   \n",
       "32    33                                  Facebook  United States     $86 B   \n",
       "\n",
       "     Profit      Assets Market Value  Sales (in millions)  \\\n",
       "5   $63.9 B    $354.1 B   $2,252.3 B             294000.0   \n",
       "14  $51.3 B    $304.1 B   $1,966.6 B             153300.0   \n",
       "4   $49.3 B    $510.3 B   $1,897.2 B             229700.0   \n",
       "0   $45.8 B  $4,914.7 B     $249.5 B             190500.0   \n",
       "2   $42.5 B    $873.7 B     $624.4 B             245500.0   \n",
       "1   $40.4 B  $3,689.3 B     $464.8 B             136200.0   \n",
       "12  $40.3 B    $319.6 B   $1,538.9 B             182400.0   \n",
       "3   $39.3 B  $4,301.7 B     $210.4 B             173500.0   \n",
       "8   $31.3 B  $4,159.9 B     $140.1 B             153900.0   \n",
       "32  $29.1 B    $159.3 B     $870.5 B              86000.0   \n",
       "\n",
       "    Profit (in millions)  Assets (in millions)  Market Value (in millions)  \\\n",
       "5                63900.0              354100.0                   2252300.0   \n",
       "14               51300.0              304100.0                   1966600.0   \n",
       "4                49300.0              510300.0                   1897200.0   \n",
       "0                45800.0             4914700.0                    249500.0   \n",
       "2                42500.0              873700.0                    624400.0   \n",
       "1                40400.0             3689300.0                    464800.0   \n",
       "12               40300.0              319600.0                   1538900.0   \n",
       "3                39300.0             4301700.0                    210400.0   \n",
       "8                31300.0             4159900.0                    140100.0   \n",
       "32               29100.0              159300.0                    870500.0   \n",
       "\n",
       "    In profit  Profit to Sales ratio  \n",
       "5        True              21.734694  \n",
       "14       True              33.463796  \n",
       "4        True              21.462778  \n",
       "0        True              24.041995  \n",
       "2        True              17.311609  \n",
       "1        True              29.662261  \n",
       "12       True              22.094298  \n",
       "3        True              22.651297  \n",
       "8        True              20.337882  \n",
       "32       True              33.837209  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_profit_to_sales_ratio = df.sort_values(\"Profit (in millions)\", ascending=False).head(10)\n",
    "df_profit_to_sales_ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "740a0634",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hb/fMd5Be/DdpsttK1WMHukxgCnBDg2U3Ak80sY3PVp4LMEvNslmqbv80r/d/Nevslct/XOe1vAV4R1X5Z3L5NKq6NuXXaBJwXU3dE/P6+9aUfyOX71dTx+x1nl+lm806dd6rJ4AFqsrnIu0s1bbjKmq6rJA+xPdR042GdK3Y258j4P35/ncH895X1Xdwfvz76yw7KC+7oeZ1XpoU3O+tKnt3g8/yBs22jxld186mb5fNtUhnoy6qKhuT130TeG9NPSvl9a+tafeSpJ2AicCs/b3+1e0ZqKzO4/6c27ZwE8/5qrxuvb/35HWGEieeAxbtZ3u/bvC5+kOdsj1r1p2NtPP5cOV9yu/ZS9R0NWvljxnf/UNqypuOS6QkXAAfr7PuJ2qf32Dq7qfdlc/mQXXKXqGqayYpGXEXMKmbr9Ng666zXicvE7iXdLZpEdL12LuRvtdvAqtWrRukJFpl3RXy85maX5tFq9Z9X17//AG2v3Beb3xV2a40/g4fVucz0MnLBF7Ot9ev8/0+iMFfJjAW+HS+vX5N3Z/Ky/t89ptp3wDbHtJ6Bb2n25Kuk76HlAiZt9F7SdpHuDmXv0A6IP8hsCl19h36ac8jwC39PMeJNWVN7SvUPK+NBqq3zrYvA6Y00f5VqP979a5cflRV2XPABYP9vA+w/cpz3I30vV+UlPg8N5efWudzvUled3HSPsuVDZ7DWbl8zQHaUOli/qmqsok0jhOjqtY7MZd15TIB0jgsAdzRRD0vAc80sV7ld3ga6bfnN6Szzov385jvkfbjlqsqu5U6v2kM/jKBRn/V3+flSUm5IJ09P4V0IDmoS2UYxO9QXn9U/l6cWFW2BQ32Y2qe164Nlo+p8/wqlwtu3eR797UB1lsur/fLfrY/0/56zWd6TFXZ6blsg5p1T8vlJ9apv6n9KwqMdxHFXCawFenDfmh1YUT8kzTgxBZ1MkGnRFX3lEhnZX9F2kH/dAFtqjYXjQd0eD0vH8iO+f+3I+Kt6gU197ciHSgfS19/JGVwtqpT9zHRd+CNylnb66Oqa1Ne50bqdMchBbPagV6OzuVvbzMi3oiINyGdqVUa6XMRZnT1+UCduk+IiBeq6niVlAGv1463SXof6SD/r8AcNRnka0kf+I/m1V/M/zdWzaUNTap0l2vUTQvSNZBvv87583cK8B7lkcYjDSJzNWkwpuouz3uQfgD6yzDXOiLytzHXfTOp98OmkuapWfefEVE7iM4WpCBwRE27nyD9CL4TWIP2eTb/b/b9eJ00GFHt36N5+VDixEmRsrqN9OnCGBHnABNImduKL5B+rM6t+QwuQBpYaAwzPssvkuLBJ4vIoiuNpn0kaeC02sGeBhOXKrfrrf96zTqDrXsozo2IiZU7+XN+JbB4nc/2gAp8nQZbdze9h/RbMZnUo+t40m/EFhFxV826H61a935SL5e7SNfzVn8/Kl1PX6R/leXz11l2CDN/h//cxPNpu4j4D+lgaI/BnJ1r4ALgSWb0DtiNlGzv74xNNxTxnhLpbPf+pN/Khpda5N+aD5NmAHiElGw8hPTb9bikHRs9tsZo+v89ftsg9xVa9Swwz0C9HiKdGb8Z2LHmd6kykn/1vsCLwCoNehG06njS9/4p0v7fJ/K2v1Rn3cvyupNIr9t6pJ6QtQOntfqZmkj93/p6A8h1S7PPEdJ+ct3vTbWIOJJ0su4SUg/NvUm9mx+XdFyDHlS7A/+KiIeryk4E1pG0ShNt60+9WL0ZVZeZRsRDpLEjfp+LPk861hov6Y7cI6dZzf4OQRogckH6fk/+SUpG7j6IbQ6kkPhYpZljiXr76zPJvQw+AdwYEf+uWXxknYdUFLl/1VS8g4FnE2jGcqSzM8/XWXY36ZqRRUgfgop6L+Q9+X/D6TmG6FXSQFH1jMrLB7IiKSszUDfT5UiZ+drrVqZJmgCsWecxD9Ws+3w+Dnm4zrrPk84AzFRH1IyhEBFTJT1Ezesp6f9IXQVXYebLRBYcqH3Zsw3aUa0yldfB+a+exXJbH1Gaz3N/YJKk20jd7M6IOtd61VE56O7vAG6gz1xl+bGkJMGnSAeQ85B6hvyjife/me19lHQgf3dVeb2ulMvl/3fXWVY5WFiedHa7HSqvZfS71gzTI6J2VPFqQ4kT/XUxfSEinqxTfi+wpaS5I+IV0udwXvrvIr5Y3tbPSN1UzwWelXQ16eDgtIiY0vjhM8s/sv8k9az5RMzchW0wcalyu976o2rWGWzdQ9EoJkCKCwNOoVZR8Os02LpbVqfL+hvR+NrRahOZsUP/Bum78UCDdW8gHZyJ1EX4m6SeTbU735VrWQfa4elvB+rOAb7H3bY/6YTBzxi4a29DETFd0snAVyQdAHyOlJif3p7etENWxHsKQEScJ+nfpEstju5nvZdJvRx/qnRt8zqkBOuewEmSJtbZuZ2pGpqfXajpfYUCDOZ37STS2d9NSQeAkJLLd+fkfsW+pF6jd+Z9ritJiea/1548GoJDSCeI3iIlte/r57doL9Lv2FykMYT2Bhas3R+l9c/UK8M8RkDzzxHS82wmaUBE/B34ez7QW5nUG2Mf0gHuNNIMDgAojS/1buAvSuP+VNxAej/3IMXyoWoqVucDy68BX5O0BGl8rZ1IcfQfklZp8jer2d8hSM9tMilRUv3cLwW2k7RI9J0xZ6gKi49ZM8cSTV36REoszE06QVWrXllFYftXDCLeFZEMGMovZ72GtesX+AnStfL1LEUaWGcgovmDosGaPsjyehq1rc9rKumbpIzUJaTrV54gfZGXImUr6/UUGUw76m37SBpf6/j2gWFE/EBpaqBPksYJ+CLwHUlHRMRAcxtXrvFciDTdSz3NfubOIr02e5AOCrcnfaGLODvW6DNe74Cm23ukC+X/RV0/O5Tn099Ba1Of+Xx/MjMGRKrnLoCIuF9S5Qd+E9IZsj8BB0v6UNQZvKtuA9LAOZeSfng2jqpB/6oMJi49UVVeb13qrN9qzOtPfzGh6fe5Da/TYOsuwqSa+1fT3DV6g9mhfqZ6XUnnAHcCZ+UdudfyovtJvSgG6jFUSUrf2eT2h42IuE/SCcAXJdXryTYYx5POkp9CShge32r72qDo9/R7pLPGB9LEFIGRBku7DLhM0u2kZPluwEDJgMnM+A0ZyKD2FVq0EOkyjGYSg38lzTO+M3BJPrhbnvQavi0nWcaQzgJ+mJQ82IM07eumUX/KtWYNJjl3Y0RUTg6cL+kp4FBJt0bEH6rWu4t05nZN0mWqjYzkODFF0qPASpLmyj1aZ5IPVOcldbkeTP3TSa/LnZJOIX1Pd5H0f3kZzBiU8JD8V+sLkr5X6a3bCRExiTTY6Bm53Z8nfW6bGTS1qd8hScuRklGi8YHzF6gzJd4QVE6MrUn/UyQ2+1muPpZopNmTKf3tC/V3PFnI/lXWdLwr4jKBB4ElJS1QZ9nK5Otx6pTXqmSH62VFWnETsJSkZaoL8/0lae7M6gTScxwoO/0QKfj0SbLk+++m+OdW8S7VjJKpNNDMcjXb3Il0RurjEfHniLggf7nbMbDW/fn/9Ii4rMFfdXadiHgoIn4bEZ8lvTfXAN9t4tKBSkDo79KFpj5zuYfFScDHJS1JCuj/o//Bm+p5b4Oy6aTulwOpHHjW60pWeS5D/Tw1k9hagTSi6rMDrtmcocSJ/ixY56wspO7XT+deAZA+hwuTLrtp9DmsTkpNzd+Lb0XEWFJyakmazOArzRhxKekszsYR0ei9HkxcqvSOqTf4zbqk97P6u1REzGurNr1Og627CLVdNL/Vxm0BkM/i/IAU379RVf46qSfL0pI276eKL+b/zc4vPdwcSNohO6KVSiLiPtIgaZsB/4mI/s7WdEXR72k+o39eXr/fS/3quD7/b5Scq3YXab+kmX3MQe8rNNDs71rtZTj1K0tnLi8Atso9BHcmndGd6cApIp6LiL9ExJdICYMjSCc1tmhmW21yJGnQ3J+o7+j1lc/IHo0uh8tJ8fVJ4z60M36209mkMTB27medlmNhREwm7d/MQerdiNJg4dsyY2Ds2r8fk84cf6ZOlZ0ymO/zTBr9DpGShSL1fKv33Ccw8OwNzbqAlCz9Qj7mmYnSTFBbkMdcG6C+x0j7ooONjfU8TbrEqd4lbfUGKR+sQuNdEcmAc3M9+1UXSvo4KZt9fp2uUjuqavTwfCD7DdKB0j8KaFO1U/P/fWvKK/dPaaKOyjpH1P641QTTc0lf8C/S15dy+TlNbGso5iONwF/t/3L5uVVl06npvpcTFX3eu4LcSvoQfkX1p3ubTdJC+fb8mjFaMPD2TlClq329yxeqXZ3/r9vPOt+oTpjkz9/ngQl1rv/5E2nApcNznSdWZXub9d3qz0Y+U7kpcHnuhjmQ80nv1XeqX5vczWs3UkLh1kG2qeLlXFfd7GfuAjeWGa9rEc5l8HFiILV1bUUKvOdWFZ+Ut9tnrIKqxyxWdbveiMiVMycDnuXKB6GXkX4ANq65TrBW03Epdx8fT+pet2TV9pYk/bheUXPJRBExr23a9ToNoe6WDfGgpQgnk5KB367Z0T+QtHP0R9VMcQQgaXdSl/hrKP63tiMijZvyG9IlPZ8YYPWB7Efqmr5/q+1qo6Lf0/1J+wA/rVPX6vk3pp4t8/97GiyvdhXpjGu9JHytpvcVBvAyKUnc6AB3cdIleoP5XRtH6nb/BVKsvTR//ip1zlqb4I6IYMZv80JV6y4r6T21+zrtks84/4yUDN+7qvx2UlxdlzToWR/5ta4kPNqxb9gpPyd1rz4073/1IeljpCT/f0mzETUkaS5JH26wbEXS5/wZZpxZrvQo/UNEnFn7Rxrv6FWKvX6+Xts2Up3rxfNxTGV8tma+z430+R3K9e5K6tHy5wbP/VRgVUlrt7BdACJduvtL0vf6mLzv+rb83E8G5gF+MFAvnbyf/y/qj5822LZNJyVy15G0Qc3iIk4aFBrvirhM4ETSvOXfyz9U15CyEf9HOuNcO3gJpC/fDZL+QDp783nSSKk/jpoppOpRmie1klGrvMg7acb867+NiBchDVAm6R+k6+TmJ2WG1iNlpv4SEdcOtL2IOEPSaaQM44qSzid1W3s38DFmzF99BOkH4/c5+NxKOtDZg5QNa+lMRj8eBA5UGsDmZtLI9buTRuc9qmq9M0kHRRdKOpuULPg8aXTMQkVESNqJNP3iHUqXANxN+mFdgdRNbX/S52dj4FhJZ5Fep5fzc/giadTVfs/YRMRkSVeRpnD5doPVZiN12zuVtJPyFWBOqn4kq+q7V9K1pB2AYGjdR99JmiLyfNKUJl8jTfHUcPCmmjZMUJqn+LukKQlPy+3ekxTYdhxCgqLi+tyeoyX9k/T+31B14LQR6YfsjCHWX8+JDD5O9OcZYOt8QHwVKZNbqeugykoRcaZSt+Kv5e/kP/JjlybFgRWYMa7GJZJezG17jDTI4K7w9kwiDSlNv3QpKXF1FLC+0uB11c6p9FgYQlzah3Qt6r8kVQYI+jop0dHnh6WImNcu7XydBlt3fszXSO8zwOykeXt/kO/fHuka0WEn0jg0h5ISl/uQzjQREXcoDfL2F1IX1hNJI7XPRYqPm5MG7PxsPmgZqQ4nxcKWdigj4hqqplUdotmrPjO1zo6Iewa5Xm0bC31P8+/bidQ/O7cp8DNJl5AuBXiSdD3uRqR9rkmkne+BnEV6jz7BAGemBrmv0J/rSWP9/E7Sf0gnP66IGYObfTL/H8zv2j9JB5SHk/aXxtUsn5c0ztH5pP29p0lnSr9K2kesjh8nkS4jWI7UQ7MTTiZNk/tNSW/vF5OubV8M+JGkzUhnxp8j7dPuRjrDvVdEXNqhdhYuIp5QmqL7POA6pW7x15NO9GxEOnP/KPCZaHAZQZW5gKsk3UXqJXo/KaH2HtJxwSjS61U5obEH6WC/bo/SiHhV0oWk8Y2Wir6XsW2j+tNbPxgRp1bd/6DS1KP1nJJjwbdJ02X/nXRi40XSbBPbkPaxr2TGFJmDVud36CZgGfpPrpxF2kfbgxm9HlvxI9L+9m7A2nkff1Iu25n0fTssIprdjz+DNIj0OhFxY4tt+wHpGPEiSb8jTRH7SWYMVNjKb3Cx8S4GN73ErtSZ+oF04HAoKUP0Bikgngy8s2a9jSqPJx2EVa6Hux/YZwjtaPQ3pmb9UcBPSAF4am7nDxncVDmzkAZouYX0JZ9CGqH6wJr1RpNG8n+cdJD1OGkkz0UaPIeN6mwrqJpyoqr8RHLiuapsIulgaE3Sj+krpB+hk4HFatadlfSj+kB+HR4hJSjem7d5UL33qsl2XEX9qe3eCfwht/MN0g/rzfnzskzMmM7jD6SeAC/l53Av6Tqr+Zt8fyrTP65VU35QLl+FNMrqk6RRyG8ENuunvp3y4y4f5HfkxPy40fk9eDZ/Xq6o07Yxta97nfq+RNrJeD2/NpcCH6yzXqPXv957NQvpWsjHmdFbZNeq5SeQgmlTU+zR/LRZg44T/WxvIukg/rz8ukzJt1fo5/38V1739fz4s4HP1bzWl+bPyBv5NbiAdIZ5oOdWaXPb4hLpIPhyUrJsCmmqn7rTQw227jqPn+mz2d/nlTrT6nT6dRpi3RP7WffEwXz3m/3L27yryXWDmunsqpbNTorhz1MTJ0kHUX8gJYorseN6Ug+8UXXq2jVva6BprSqfgY5PLVhn/W9UvVeDmlpwgPUGO7Vgf5+37YewXqPnW9h7Suoa/Grte5nf3++TDhIeI33fXiEdnB9JP9Oo1dnGBaQzhLXlVzHEfYWa57VRzePnJh2EPMWM37WNqpZfCdw0hM9lZYq9F4E5a5a9I7fvxtzeqbn9xwMrNvisjGlimw3fu8F+rkkH/sHM+6qzkg6griIlAt7I7/nJwOoN6ppIE7GLLk8tWLPe4qT9nXvzZ/5lUvLsQJrfv5wtv1ankk5YvZRfr/+R9iM2rlp35dyuswaoc4e83gE173mjv4uaXC/I+26k3h9Hkg66nyIdk7xASqp/E5ijyeff7O/QOXnd9w1Q34TcjjmryirPa9cGjxlDP789pBmrLiT1zniDtB939mA/Y6T9jWdJJ5Xrbf+gAT7TY2rKVyf1VnyV9D07iRlTGB7dTP316qbgeFeZX7sjJG2UG7hbRJzYsQ33MEkTST+sG3W5KV2VuwfdDtwWEV8ooL7PkuYC/Xz0zcYO9LgTgV0iotsDAA5J7lr0ELBfRBw10PpmZma1JK0H/IeUdO/q6POSViedyNkyIs7vZlvMbHiTtB/pxOly0dxMC4Otfy3SpZ/7R8RhA60/hPpXZ5DxrogxA8y6LlKX+W8DO0iqN3jfYO1F6k4+UgfZGqr9SD0Gjul2Q8zMbGSKiOtICfV6I6l32kHA1U4EmFkTfk3q6dDosuOm1Y7ZkK/x/26+267LcA5ikPGuiDEDzIaFiLiI1PVtSJRmLdiENArwh0hZu6kFNW9EiIh9mXmwNjMzs0GJiO273QaAiNiy220ws5Eh0gDmYwqq7jZJV5CmNZybNHDjB4HTok0DDg8l3jkZYDbDyqS5hV8gXbt4ZFdbY2ZmZmZmI9F5pATATqRj7odJYx4d3s1G1eromAFmZmZmZmZm1n0eM8DMzMzMzMysZJwMMDMzMzMzMysZJwPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5JxMsDMzMzMzMysZJwMMDMzMzMzMysZJwPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5KZrdsNMLPiLLLIIjFmzJhuN8PMOuTmm29+JiJGd7sdRXD8MiufXophZiORkwFmPWTMmDGMHz++280wsw6R9EiXtz8KuAaYg7RPcWZEHCjpIOBLwOS86gERcUF/dTl+mZVPt2OYWdk5GWBmZmZDNRX4SES8LGl24FpJF+Zlv4qIX3SxbWZmZtYPJwPMzMxsSCIigJfz3dnzX3SvRWZmZtYsDyBoZmZmQyZpVkm3AU8Dl0bEDXnR1yTdIel4SQs2eOyeksZLGj958uR6q5iZmVmbOBlgZmZmQxYR0yNidWBpYB1JqwLHAO8CVgcmAUc2eOyxETE2IsaOHu0xxMzMzDrJyQAzMzNrWUS8AFwFbB4RT+UkwVvAn4B1utk2MzMzm5mTAWZmZjYkkkZLWiDfnhPYFLhP0hJVq20F3NWF5pmZmVk/PICgmZmZDdUSwDhJs5JOMJweEf+QdLKk1UmDCU4Evty9JpqZmVk9TgaYmZnZkETEHcAadcp36kJzzMzMbBB8mYCZmZmZmZlZyTgZYGZmZmZmZlYyTgaYmZmZmZmZlYyTAWZmZmZmZmYl42SAmZmZmZmZWcl4NgGzkjp7wqTC6tp6pSUGXsnMzMyGHR2swuqKA6Owusys/dwzwMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxmMGmJmZmVXxNdRmZlYG7hlgZmZmZmZmVjJOBpiZmZmZmZmVjJMBZmZmZmZmZiXjZICZmZmZmZlZyTgZYGZmZmZmZlYyTgaYmZmZmZmZlYyTAWZmZmZmZmYl42SAmZmZmZmZWck4GWBmZmZmZmZWMk4GmJmZmZmZmZWMkwFmZmZmZmZmJeNkgNkQSFpA0pmS7pN0r6T1JC0k6VJJ9+f/C1atv7+kByRNkPSxqvK1JN2Zlx0lSbl8Dkmn5fIbJI3pwtM0MzMzM7Me5WSA2dD8BrgoIt4DrAbcC+wHXB4RKwKX5/tIWhnYHlgF2Bw4WtKsuZ5jgD2BFfPf5rl8D+D5iFgB+BVweCeelJmZmZmZlYOTAWaDJGk+4EPAcQAR8UZEvABsAYzLq40Dtsy3twD+FhFTI+Jh4AFgHUlLAPNFxHUREcBJNY+p1HUmsEml14CZmZmZmVmrnAwwG7zlgcnACZJulfRnSXMDi0XEJID8f9G8/lLAY1WPfzyXLZVv15b3eUxETANeBBau1xhJe0oaL2n85MmTi3h+ZmZmZmbW45wMMBu82YA1gWMiYg3gFfIlAQ3UO6Mf/ZT395iZCyOOjYixETF29OjR/TTDzMzMzMwscTLAbPAeBx6PiBvy/TNJyYGnctd/8v+nq9ZfpurxSwNP5PKl65T3eYyk2YD5gecKfyZmZmZmZlZKTgaYDVJEPAk8JmmlXLQJcA9wPrBLLtsFOC/fPh/YPs8QsBxpoMAb86UEUyStm8cD2LnmMZW6tgWuyOMKmJmZmZmZtWy2bjfAbIT6OnCKpHcADwG7kZJrp0vaA3gU2A4gIu6WdDopYTAN2Csipud6vgqcCMwJXJj/IA1OeLKkB0g9ArbvxJMyMzMzM7NycDLAbAgi4jZgbJ1FmzRY/6fAT+uUjwdWrVP+OjmZYGZmZmZmVjRfJmBmZmZmZmZWMk4GmJmZmZmZmZWMkwFmZmZmZmZmJeNkgJmZmZmZmVnJOBlgZmZmZmZmVjJOBpiZmZmZmZmVjJMBZmZmZmZmZiXjZICZmZkNiaRRkm6UdLukuyUdnMsXknSppPvz/wW73VYzMzPry8kAMzMzG6qpwEciYjVgdWBzSesC+wGXR8SKwOX5vpmZmQ0jTgaYmZnZkETycr47e/4LYAtgXC4fB2zZ+daZmZlZf5wMMDMzsyGTNKuk24CngUsj4gZgsYiYBJD/L9rgsXtKGi9p/OTJkzvWZjMzM3MywMzMzFoQEdMjYnVgaWAdSasO4rHHRsTYiBg7evTotrXRzMzMZuZkgJmZmbUsIl4ArgI2B56StARA/v9091pmZmZm9czW7QaYmZnZyCRpNPBmRLwgaU5gU+Bw4HxgF+Cw/P+87rXSRgodrMLqigOjsLrMzHqVkwFmZmY2VEsA4yTNSupteHpE/EPSdcDpkvYAHgW262YjzczMbGZOBpiZmdmQRMQdwBp1yp8FNul8i8zMzKxZHjPAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5JxMsDMzMzMzMysZJwMMDMzMzMzMysZJwPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5KZrdsNMLPedPaESYXUs/VKSxRSj5mZmZmZzeCeAWZmZmZmZmYl42SAmZmZmZmZWck4GWBmZmZmZmZWMk4GmA2BpImS7pR0m6TxuWwhSZdKuj//X7Bq/f0lPSBpgqSPVZWvlet5QNJRkpTL55B0Wi6/QdKYjj9JMzMzMzPrWU4GmA3dxhGxekSMzff3Ay6PiBWBy/N9JK0MbA+sAmwOHC1p1vyYY4A9gRXz3+a5fA/g+YhYAfgVcHgHno+ZmZmZmZWEkwFmxdkCGJdvjwO2rCr/W0RMjYiHgQeAdSQtAcwXEddFRAAn1TymUteZwCaVXgNmZmZmZmatcjLAbGgCuETSzZL2zGWLRcQkgPx/0Vy+FPBY1WMfz2VL5du15X0eExHTgBeBhes1RNKeksZLGj958uSWn5iZmZmZmfU+JwPMhmaDiFgT+Diwl6QP9bNuvTP60U95f4+ZuTDi2IgYGxFjR48e3V+bzcxmImlxSWdImizpmXx7yW63y8zMzNrLyQCzIYiIJ/L/p4FzgHWAp3LXf/L/p/PqjwPLVD18aeCJXL50nfI+j5E0GzA/8Fw7nouZld6JwJPARsAnSfFmXD/rm5mZWQ+YrdsNMBtpJM0NzBIRU/LtjwKHAOcDuwCH5f/n5YecD/xV0i+BJUkDBd4YEdMlTZG0LnADsDPw26rH7AJcB2wLXJHHFTDg7AmTCqtr65WWKKwus+FM0j7A7yJies2itYEtI+L1vN4RwFmdbp+ZmZl1lpMBZoO3GHBOHs9vNuCvEXGRpJuA0yXtATwKbAcQEXdLOh24B5gG7FW1M/5V0lm5OYEL8x/AccDJkh4g9QjYvhNPzMx62qeBr0j6RkRcVFV+E3CopD8BcwHfBsZ3o4FmZmbWOU4GmA1SRDwErFan/FlgkwaP+Snw0zrl44FV65S/Tk4mmJkVISI2lbQV8DtJ/wX2jYj/kqYyPQq4Nq96NfClLjXTzMzMOsRjBpiZmZVERJwDrAxcA1yXL196OSK2iYiF8t9WEfFY/zWZmZnZSOdkgJmZWYlExBsRcRiwCrAgMEHSl5WvfTIzM7NycDLAzMysJCQtKOnjkrYA3hERu5FmEPgCcJukjbvbQjMzM+sUjxlgZmZWApI+BZxCmrr0NWAVSQfnXgIflLQDcKKkm4FvRcTDXWyumZmZtZl7BpiZmZXDr4GfRcQqETEW+BTwE0kLAUTEqcBKwO00OZuApGUkXSnpXkl35+kLkXSQpP9Jui3/faItz8jMzMyGzD0DzMzMymE+4IGq+w+STgrMQ5rCtDKTycGS/txkndNIvQhukTQvcLOkS/OyX0XEL4ppupmZmRXNyQAzM7Ny+APwJ0kbkS4T2Aa4KCIerV0xIv7XTIURMQmYlG9PkXQvsFRRDTYzM7P28WUCZmZmJRARPwI+D7wOzAEcDHymqPoljQHWAG7IRV+TdIek4yUt2OAxe0oaL2n85MmTi2qKmZmZNcHJADMzs5KIiIsi4jsRsU9EnBQR04qoV9I8wFnAvhHxEnAM8C5gdVLPgSMbtOfYiBgbEWNHjx5dRFPMzMysSU4GmJmZ2ZBJmp2UCDglIs4GiIinImJ6RLwF/AlYp5ttNDMzs5l5zAArHUnzA2OBxYFRpIGz/hsRd3e1YWZmI4wkAccB90bEL6vKl8jjCQBsBdzVjfaZmZlZY04GWClImg/YCdgZWIuZe8WEpBeBc4A/R8R1HW6imdlItAEptt4p6bZcdgCwg6TVgQAmAl/uRuPMzMysMScDrOdJ+gHwTeBZUlfWn5Lm0X4GmAosAIwh9RbYHLhC0nXA3hHhs1lmZg1ExLWA6iy6oNNtMTMzs8FxMsDKYF3gM3mntZ5n8t944A/5MoKvkM54ORlgZmZmZmY9x8kA63kR8alBrv8icHibmmMjwNkTJg28UhO2XmmJQuoxawdJywPfATYEFiKNn/Iv4BcR8VA322ZmZmbt52SAGSBpgYh4odvtMDPrBElrAVcCrwP/AJ4CFgO2AXaUtHFE3NLFJpqZmVmbORlgpSLpq8C8EXFEvr86aUd4iTz41RYR8Xj3Wmhm1hG/AG4FPh4Rr1YKJc1Fut7/F8BHutQ2a4EOrjeEw9DEgVFYXWZmNvzUjqhu1uu+DrxUdf8o4AlgR9L34bBuNMrMrMPWAY6oTgQA5Pu/AD7QlVaZmZlZx7hngJXNssAEAEmjSYMEbhIRV0l6A/hdNxtnZtYhrwELN1i2EOnyATMzM+th7hlgZTMVeEe+vTHwKmnALEiDZy3QhTaZmXXaP4HDJG1YXZjvHwr8vSutMjMzs45xzwArmxuBvSQ9DuwNXBQR0/Oy5UmXDJiZ9bpvAucBV0uaTBpAcNH89x/gW11sm5mZmXWAkwFWNt8CzgfuBB4Ddq9a9jng391olJlZJ0XEs8CGkjYH1gaWACYBN0TEJV1tnJmZmXWEkwFWKhFxD7CCpIWB5yKieqjkbwNPdqdlZmadFxEXARd1ux1mZmbWeU4GWCnls2K1ZXd2oy1mZp0gaa7K7AF5CsF+1c40YGZmZr3FyQArHUljga2BpYFRtcsj4rMdb5SZWftNkbReRNwIvAwMNIn8rB1ok5mZmXWJkwFWKpK+Spo+8FngfuCN7rbIzKxjdgcerLo9UDLAzMzMepiTAVY23wZOAL4SEdO63Rgzs06JiHFVt0/sYlPMzMxsGJil2w0w67BFgVOdCDCzMpP0kKTVGixbVdJDnW6TmZmZdZaTAVY2FwIf6HYjzMy6bAwwR4Nlc5HGVDEzM7Me5ssErGx+DxwraXbgUuCF2hXy9INmZj1F0nzAAlVFi0tatma1UcD2wP861S6zXqCDVVhdcaCH8zCzznAywMrmyvz/QOBHNctEGlDLI2hb25w9YVJhdW290hKF1WWl8A1S7Iv8d06D9QR8q1ONMjMzs+5wMsDKZuNuN8DMrEv+CownHeyfTxpQdULNOm8AEyLi0Q63zczMzDrMyQArlYi4utttMDPrhoi4nzSlKpI2Bm6JiCndbZWZmZl1i5MBVkqSPgBsCCwEPAdcGxE3dLdVZmadUZ0YlTQLaayA2nVe7WijzMzMrKOcDLBSkTQ3cAawOTANeBZYGJhV0kXAdt4BNrNeJ0nAd4EvAcs1WM3jp1hPKWqQPw/wZ2a9wlMLWtkcAawHfA4YFRFLMGP07PWAw7vYNjOzTtkb2A84jjSGwE+BQ4D/AhOBPbvWMjMzM+sIJwOsbLYBvhcRZ0TEWwAR8VZEnEHaMd6uq60zM+uML5FmFjgi3z83Ig4GVgHuA1bsVsPMzMysM3yZgJXN/MBjDZY9BszXwbaYmXXLcsBtETFd0pvAApCSo5KOBv5MSpAOS57T3czMrHXuGWBlczvw1Xy97Nvy/a/m5WZmve5ZYJ58+1FgjaplCwJzdrxFZmZm1lHuGWBlcwBwIXCfpHOAp4BFga2AMcDHm61I0qykObv/FxGfkrQQcFquZyLw2Yh4Pq+7P7AHMB3YOyIuzuVrASeSdrwvAPaJiJA0B3ASsBZpp/1zETGxhedtZlbt38DapLjzV+CgHMPeAPYCLu9i28zMzKwDnAywUomIKyStAfyIND7AEsAk4AZg64i4ZxDV7QPcy4xLC/YDLo+IwyTtl+9/T9LKpAEKVwGWBC6T9O6ImA4cQxqo63rSTvnmpGTFHsDzEbGCpO1JAxt+roWnbiVx9oRJhdW19UpLFFaXDTsHAUvl2z8jXSawKykxeSnw9W40qgx8iYOZmQ0XTgZY6eQD/u1bqUPS0sAnSSNwfzMXbwFslG+PA64CvpfL/xYRU4GHJT0ArCNpIjBfRFyX6zwJ2JKUDNiCtLMOcCbwO0mKCO/5Wdc40dAbJM0CvAzcCJBj0z75z8zMzErCYwaYDc2vSXN0v1VVtlhETALI/xfN5UvRd9DCx3PZUvl2bXmfx0TENOBFYOF6DZG0p6TxksZPnjy5hadkZiUxC+lSpg273A4zMzPrIvcMsJ4n6XRg/4h4MN/uT0REv93xJX0KeDoibpa0UTNNqLedfsr7e8zMhRHHAscCjB071j0HzKxfETFN0iPAXN1ui5mZmXWPkwFWBqOB2fPtRWlwUD0IGwCfkfQJYBQwn6S/AE9JWiIiJklaAng6r/84sEzV45cGnsjlS9cpr37M45JmI02J+FyL7TYzqzgc+L6kf0WEuxSZmZmVkJMB1vMiYuOq2xsVUN/+wP4AuWfAtyPiC5J+DuwCHJb/n5cfcj7wV0m/JA0guCJwY57fe4qkdUkDGO4M/LbqMbsA1wHbAld4vAAzK9BHSQOoTpR0M2lmleoYM2AvKTMzMxvZnAwwK85hwOmS9iDN270dQETcnS9PuAeYBuyVZxIA+Cozpha8MP8BHAecnAcbfI4WBzw0Gwk8QGFHLQJMqLlvZmZmJeJkgPU8Sf83mPUj4uhBrHsVadYAIuJZYJMG6/2UNPNAbfl4YNU65a+TkwlmZkWr7jFlZmZm5eRkgJXB7waxbgBNJwPMzMzMzMxGIicDrOdFhKfQNDMzMzMzq+JkgJmZmQ2JpGWAk4DFgbeAYyPiN5IWAk4DxgATgc9GxPPdaqfZSKeD6804PHhxoMciNrMZnAywnidp5cGsHxH3tKstZmY9ZhrwrYi4RdK8wM2SLgV2BS6PiMMk7QfsB3yvi+00MzOzGk4GWBncRd8psxpRXm/W9jbHzKw3RMQkYFK+PUXSvcBSwBbARnm1caSBVp0MMDMzG0acDLAy8KjZZmYDkPQe4D3AjRHxxBAePwZYA7gBWCwnCoiISZIWbfCYPYE9AZZddtkhttzMzMyGwskA63kRcXW322BmNpxI+iMQEfGVfP9zwF9IPaNelrR5RPxnEPXNA5wF7BsRL0nNXd8cEccCxwKMHTvWFzObmZl1kEdZNzMzK5/NgWuq7v8YOBVYErg432+KpNlJiYBTIuLsXPyUpCXy8iWAp4totJmZmRXHyQDreZKelrRGvj0532/41+32mpl1wKLAYwCSVgRWAI6IiCdJZ+rXaKYSpS4AxwH3RsQvqxadD+ySb+8CnFdQu83MzKwgvkzAyuD3wFNVt90V1czK7jlgsXx7U+DJiLgr3xfND6S6AbATcKek23LZAcBhwOmS9gAeBbYrotFmZmZWHCcDrOdFxMFVtw/qYlPMzIaLC4FDJC0GfBc4vWrZqsDEZiqJiGtJyYN6NmmlgWZmZtZevkzAzMysfL4FXA98hTR2wIFVy7YCLupGo8zMzKxz3DPASkfSZ0k7u0sBo2qXR8Q6HW+UmVkHRcSLwO4Nln2ww80xMzOzLnAywEpF0mGkLrE3AQ8Ab3S3RWZm3SNpZWAtYBng+Ih4UtIKwFMRMaW7rTMzM7N2cjLAymZ34PsRcWi3G2Jm1i2S5gGOB7YF3iTtD1wEPAn8jDTo37e71kAzMzNrO48ZYGXzJnBztxthZtZlvwTWJw3yNy99BwG8ANi8G40yMzOzznEywMrmN8AX89zYZmZltTXwvYi4Ephes+wR4J2db5KZmZl1ki8TsFKJiCMk/QK4T9LVwAszrxLf63zLzMw6ak7g2QbL5mXmBIGZmZn1GCcDrFQk7QjsC7wFzMPMAwgG4GSAmfW6m4CdqT+F4LbAfzrbHDMzM+s0JwOsbA4DTgO+4pGyzazEfgBcJuky4AxSIvQTkr5BSgZ8qJuNMzMzs/bzmAFWNvORps9yIsDMSisiriUNHjgH8DvSAIIHA8sDm0bETV1snpmZmXWAewZY2ZwFbAxc3u2GmJl1U0T8G/igpDmBBYEXIuLVLjfLzMzMOsTJACubi4HDJC0OXMHMAwgSERd0ulFmZt0SEa8Br3W7HWZmZtZZTgZY2Zya/++e/2oFMGvnmmNm1hmSjhjE6p5ZxczMrMc5GWBls1y3G2Bm1iXbDWJdz6xiZmbW45wMsFKJiEe63QYzs26ICCdDzczM7G2eTcDMzMzMzMysZNwzwMzMrIQkCdgAeDcwqnZ5RBzd8UaZmZlZxzgZYGZmVjKSFiNNsboyaXwA5UVRtZqTAWZmZj3MlwmYmZmVz5HAi8AypETAB4AxwA+B+0m9BczMzKyHuWeAmZlZ+XwY2AeYlO8rIh4FfiZpFlKvgI91q3E2fOlgDbxSE+LAGHglMzNrKycDrHQkjQI+BCzNzNfJRkQc0/lWmZl11ALA5Ih4S9JLwKJVy/6DpxU0MzPreU4GWKlI2hA4G1ikwSoBOBlgZr3uYWCJfPtuYEfgH/n+p4HnutEoMzMz6xyPGWBlcxTwILAGMEdEzFLzN2uX22dm1gn/BD6ab/8E2EbS45IeBvYGftu1lpmZmVlHuGeAlc1KwNYRcXu3G2Jm1i0RsX/V7QslbQBsRbp06tKIuLBrjTMzM7OOcDLAyuYOYPFuN8LMbDiJiJuAm7rdDjMzM+scJwOsbL4KnChpYkRc3e3GmJl1m6S5gD2A9wBPAidFxCPdbZWZmZm1m5MBVjaXAnMBV0h6E3ipdoWIWHSmR5nZiHb2hEkDr9SkrVdaYuCVhiFJRwKfjoh3V5XNS+oRsCLwPDA/8C1J60TEf7vTUjMzM+sEJwOsbH5PmjHAzKxsNgb+UlP2beDdwBcj4nhJo0lJ0x8CO3W4fWZmZtZBTgZYqUTEQd1ug5lZl4wBbq4p2wa4JyKOB4iIybkHwcEdbpuZmZl1mKcWNBskSaMk3Sjpdkl3Szo4ly8k6VJJ9+f/C1Y9Zn9JD0iaIOljVeVrSbozLztKknL5HJJOy+U3SBrT8SdqZr1mNuD1yh1JCwHvBa6oWW8iHmjVzMys57lngPU8SacD+0fEg/l2vyLiswOsMhX4SES8LGl24FpJFwJbA5dHxGGS9gP2A74naWVge2AVYEngMknvjojpwDHAnsD1wAXA5sCFpMG8no+IFSRtDxwOfG7wz97M7G3/BTYCLs/3P5X/X1yz3qLAcx1qk5mZmXWJkwFWBqOB2fPtRWlxzICICODlfHf2/BfAFqQdbYBxwFXA93L53yJiKvCwpAeAdSRNBOaLiOsAJJ0EbElKBmwBHJTrOhP4nSTlbZuZDcXvgD9Jmh94CtgbeBi4pGa9jwJ3dbhtZmZm1mFOBljPi4iNq25vVESdkmYlXXu7AvD7iLhB0mIRMSlvZ5KkyqwES5HO/Fc8nsvezLdryyuPeSzXNU3Si8DCwDN12rInqXcByy67bBFPz8x6UEScKGkJYC9gAeAWYK+IeLOyTh5AcAs8ZoCZmVnPczLAbAhyF//VJS0AnCNp1X5WV70q+inv7zH12nIscCzA2LFj3XPAzBqKiEOBQ/tZPhmPF2BmZlYKHkDQep6kH+ZusYN5zEckfXqg9SLiBdLlAJsDT+WzbuT/T+fVHgeWqXrY0sATuXzpOuV9HiNpNtLc376G18zMzMzMCuFkgJXBOsBjkk6W9JncDbYPSbNLWlPS9yXdAZxCGihwJpJG5x4BSJoT2BS4Dzgf2CWvtgtwXr59PrB9niFgOWBF4MZ8ScEUSevmWQR2rnlMpa5tgSs8XoCZmZmZmRXFlwlYz4uIT0v6APB14FRglKRnSNffTyVdO7skaSDAu4HjgWMj4tUGVS4BjMvjBswCnB4R/5B0HXC6pD2AR4Ht8vbvzrMY3ANMI12jOz3X9VXgRGBO0sCBF+by44CT82CDz5FmIzCzYersCZMKq2vrlZYorC4zMzOzRpwMsFKIiBuAGyTNA2wArEm6LnYU6WB7AvDviLi/ibruANaoU/4ssEmDx/wU+Gmd8vHATOMNRMTr5GSCmdlwJel40hSFT0fEqrnsIOBLwOS82gERcUF3WmhmZmaNOBlgpRIRL5Pm1K6dV9vMzAbvRNKUhSfVlP8qIn7R+eaYmZlZs5wMMDMzKylJSwLrAQuRekldFxFP9P+oGSLiGklj2tQ8MzMzayMPIGhmZlYykmaVdDTwCHAG8Mf8/xFJv5fU6v7B1yTdIel4SQv20449JY2XNH7y5MmNVjMzM7M2cDLAzMysfA4GdgcOAMaQBjEdk+/vDhzUQt3HAO8CVgcmAUc2WjEijo2IsRExdvTomSZ6MTMzszbyZQJmZmblszPwg5rr+h8Ffi4pgL2BHw2l4oh4qnJb0p+Af7TSUDMzM2sP9wwwMzMrn0WBOxosuyMvHxJJ1XMjbgXcNdS6zMzMrH2cDLBSkTRd0joNlq0laXqn22Rm1gX/BbZvsGx70nSrA5J0KnAdsJKkxyXtARwh6U5JdwAbA98oosFmZmZWLF8mYGWjfpbNDkzrVEPMzLroJ8DfJC0LnAk8ReoNsB3pAL5RoqCPiNihTvFxRTXSzMzM2sfJAOt5eWd3TFXRGpJG1aw2CtgFeLhT7TIz65aIOF3SC6SBBH9DSoa+CdwMbB4Rl3axeWZmZtYBTgZYGewGHAhE/jumwXqvAV/sVKPMzLopIi4BLsnTCC4CPBMRb3W5WWZmZtYhHjPAyuBo4H3AaqTLBHbM96v/VgIWiohTu9VIM7NOkXS8pOUAIuKtiHi6kgiQ9E5Jx3e3hWZmZtZu7hlgPS8iJgOTAfLO76SIeKO7rTIz66pdgT9Q/9KoRUiXTe3eyQaZmZlZZzkZYD1P0lwR8Wq+OxmYTVLDz37VumZmvSwalK9KTqCamZlZ73IywMpgiqT1IuJG4GUa7wBXzNqBNpmZdZSkfYB98t0AzpU0tWa1UcBiwIkdbJqZmZl1gZMBVga7Aw9W3R4oGWBm1ovuAc4ijZ3yTeBKYFLNOm8A9wGnd7ZpZmZm1mlOBlgZvBOYI9++gjRmwJtdbI+ZWcfl6QIvBZA0BfhTRDzR3VaZmZlZt3g2ASuDA4Gl8u2HgTW62BYzs66LiIOdCDAzMys3JwOsDCYDK+fbwpcJmJmZmZlZyfkyASuDs4ATJB1JSgRcLGlao5UjYtGOtczMzMzMzKwLnAywMvgaaayA9wKHkJIDj3e1RWZmZmZmZl3kZID1vIgIUgIASZsAR0bEfd1tlZmZmZmZWfd4zAArlYjYuDoRIGn2brbHzKwbJE2XtE6DZWtJmt7pNpmZmVlnORlgpSNpfUkX5qm1Xpc0RdIFktbrdtvMzDpE/SybHWg4roqZmZn1Bl8mYKUiaTPgn8AE4OfAU8BiwLbAVZI+GRGXdbGJZmZtIWlZYExV0RqSRtWsNgrYhTQNq5mZmfUwJwOsbH4KnA9sl8cSqDhE0lnAzwAnA8ysF+0GHEiaVSWAYxqs9xrwxU41yszMzLrDyQArm/cBP6xJBFQcC5zb2eaYmXXM0cCZpEsE7gB2zP+rvQE8GhFTO9w2MzMz6zAnA6xsXgDe1WDZCnm5mVnPiYjJwGQAScsBkyLije62yszMzLrFyQArmzOAQyW9BJwZEa/na2a3JV1CMK6rrTMzaxNJc0XEq/nuZGA2SQ33A6rWNTMzsx7kZICVzfeAhUkH/eMkvQzMk5edmpebmfWiKZLWi4gbgZdJ4wb0Z9YOtMnMzMy6xMkAK5WIeA3YUdKPgbWBJYBJwE0RcV9XG2dm1l67Aw9W3R4oGWBmZmY9zMkAK418OcCLwOci4lzAB/9mVibvBObIt68gjRnwZhfbY2ZmZl00S7cbYNYpEfE68DQwrdttMTPrggOBpfLth4E1utgWMzMz6zInA6xs/gjsLWn2bjfEzKzDJgMr59vClwmYmZmVmi8TsLJZAFgVmCjpcuAp+u4QR0R4EEEz60VnASdIOpIU9y6W1LCnVEQs2rGWmZmZWcc5GWBlsw0wNd/+YJ3lgWcUMLPe9DXSWAHvBQ4hJQce72qLzMzMrGucDLBSiYjlut0GM7NuiIggJQCQtAlwpGdRMTMzKy8nA6wUJM0JfAIYQ5pK8PKIeKqrjTIz65KI2Lj6vqTZPbOAmZlZuXgAQet5kpYH7gbOAH4O/AWYIOmjXW2YmVkXSVpf0oWSpgCvS5oi6QJJ63W7bWZmZtZ+TgZYGRwBvEUaI2AuYBXgVtLMAmZmpSNpM+AqYGlSkvT/8v+lgaskbdq91pmZmVknOBlgZbAe8IOI+HdEvB4R9wJfBpaVtMRgK5O0jKQrJd0r6W5J++TyhSRdKun+/H/BqsfsL+kBSRMkfayqfC1Jd+ZlR0lSLp9D0mm5/AZJY1p9EczMqvwUOB94f0QcEhF/zP/fD/wD+Fl3m2dmZmbt5mSAlcESwEM1ZQ+S5tlefAj1TQO+FRHvBdYF9pK0MrAfaSyCFYHL833ysu1JPRI2B46WNGuu6xhgT2DF/Ld5Lt8DeD4iVgB+BRw+hHaamTXyPuBPeVDBWsfm5WZmZtbDnAywsqi3wzu0iiImRcQt+fYU4F5gKWALYFxebRywZb69BfC3iJgaEQ8DDwDr5F4J80XEdXmH/KSax1TqOhPYpNJrwMysAC8A72qwbIW83MzMzHqYZxOwsrhY0rQ65ZfXlkfEos1WmrvvrwHcACwWEZNyHZMkVepZCri+6mGP57I36TvHd6W88pjHcl3TJL0ILAw802zbzMz6cQZwqKSXgDMj4nVJo4BtSZcQjOv30WZmZjbiORlgZXBwOyqVNA9pzu59I+Klfk7c11sQ/ZT395h67diTdKkByy67bH9NNjOr+B4pwTgOGCfpZWCevOzUvNzMzMx6mJMB1vMiovBkgKTZSYmAUyLi7Fz8lKQlcq+AJYCnc/njwDJVD18aeCKXL12nvPoxj0uaDZgfeK5eWyLiWNI1vowdO7awyyHMrHdFxGvAjpJ+DKxNGltlEnBTRNzX1caZmZlZR3jMALNBytfuHwfcGxG/rFp0PrBLvr0LcF5V+fZ5hoDlSAMF3pgvKZgiad1c5841j6nUtS1wRYOBvszMBkXSKElTJW0ZEfdFxMkRcUT+P6hEgKTjJT0t6a6qsoYzq5iZmdnw4WSA2eBtAOwEfETSbfnvE8BhwGaS7gc2y/eJiLuB04F7gIuAvSJieq7rq8CfSYMKPghcmMuPAxaW9ADwTfLMBGZmrYqI10k9l+qNozJYJzJjFpSKujOrmJmZ2fDiywTMBikirqX+Nf0AmzR4zE9Jg3LVlo8HVq1T/jqwXQvNNDPrzx+BvSVdHBFvDrWSiLgmD6RabQtgo3x7HHAVHoPAzMxs2HEywMzMrHwWICUiJ0q6HHiKvoOURkQM9QC+0cwqM/EAqGZmZt3jZICZmVn5bANMzbc/WGd50IGz+R4A1czMrHucDDAzMyuZiFiujdU3mlnFzMzMhhEPIGhmZlYSkuaUtI2kb0n6vKTF2rCZRjOrmJmZ2TDingFmZmYlIGl54DJgTFXxS5I+GxGXDLHOU0mDBS4i6XHgQNJMKqdL2gN4FA+GamZmNiw5GWBmZlYORwBvkcYIuBlYDjiaNLPAkC4biIgdGiyqO7OKmZmZDR++TMDMzKwc1gN+EBH/jojXI+Je4MvAsvnafjMzMysRJwPMzMzKYQngoZqyBwEBi3e+OWZmZtZNTgaYmZmVh6fvMzMzM8BjBpiZmZXJxZKm1Sm/vLY8IhbtUJvMzMysC5wMMDMzK4eDu90AMzMzGz6cDDAzMyuBiHAywMzMzN7mMQPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5JxMsDMzMzMzMysZJwMMDMzMzMzMysZJwPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzMzMzMzMzErGyQAzMzMzMzOzknEywMzMzMzMzKxknAwwMzMzMzMzKxknA8zMzMzMzMxKxskAMzMzMzMzs5JxMsDMzMzMzMysZJwMMDMzMzMzMysZJwPMzMzMzMzMSsbJADMzMzMzM7OScTLAzMzMzMzMrGScDDAzMzMzMzMrGScDzIZA0vGSnpZ0V1XZQpIulXR//r9g1bL9JT0gaYKkj1WVryXpzrzsKEnK5XNIOi2X3yBpTEefoJmZmZmZ9TQnA8yG5kRg85qy/YDLI2JF4PJ8H0krA9sDq+THHC1p1vyYY4A9gRXzX6XOPYDnI2IF4FfA4W17JmZmZmZmVjpOBpgNQURcAzxXU7wFMC7fHgdsWVX+t4iYGhEPAw8A60haApgvIq6LiABOqnlMpa4zgU0qvQbMzMzMzMxaNVu3G2DWQxaLiEkAETFJ0qK5fCng+qr1Hs9lb+bbteWVxzyW65om6UVgYeCZ2o1K2pPUu4Bll122sCdjZtYKSROBKcB0YFpEjO1ui8zMzKyaewaYtV+9M/rRT3l/j5m5MOLYiBgbEWNHjx49xCaambXFxhGxuhMBZmZmw4+TAWbFeSp3/Sf/fzqXPw4sU7Xe0sATuXzpOuV9HiNpNmB+Zr4swczMzMzMbEicDDArzvnALvn2LsB5VeXb5xkCliMNFHhjvqRgiqR183gAO9c8plLXtsAVeVwBM7ORIoBLJN2cL2eaiaQ9JY2XNH7y5Mkdbp6ZmVm5ecwAsyGQdCqwEbCIpMeBA4HDgNMl7QE8CmwHEBF3SzoduAeYBuwVEdNzVV8lzUwwJ3Bh/gM4DjhZ0gOkHgHbd+BpmZkVaYOIeCKPn3KppPvy4Ktvi4hjgWMBxo4d64SnmZlZBzkZYDYEEbFDg0WbNFj/p8BP65SPB1atU/46OZlgZjYSRcQT+f/Tks4B1gGu6f9RZmZm1im+TMDMzMwKJWluSfNWbgMfBe7qbqvMzMysmnsGmJmZWdEWA85Jw6EwG/DXiLiou00yMzOzak4GmJmZWaEi4iFgtW63w8zMzBrzZQJmZmZmZmZmJeNkgJmZmZmZmVnJOBlgZmZmZmZmVjJOBpiZmZmZmZmVjJMBZmZmZmZmZiXjZICZmZmZmZlZyTgZYGZmZmZmZlYyTgaYmZmZmZmZlYyTAWZmZmZmZmYl42SAmZmZmZmZWck4GWBmZmZmZmZWMk4GmJmZmZmZmZWMkwFmZmZmZmZmJeNkgJmZmZmZmVnJOBlgZmZmZmZmVjJOBpiZmZmZmZmVjJMBZmZmZmZmZiXjZICZmZmZmZlZyTgZYGZmZmZmZlYyTgaYmZmZmZmZlYyTAWZmZmZmZmYl42SAmZmZmZmZWck4GWBmZmZmZmZWMk4GmJmZmZmZmZWMkwFmZmZmZmZmJeNkgJmZmZmZmVnJOBlgZmZmZmZmVjJOBpiZmZmZmZmVjJMBZmZmZmZmZiXjZICZmZmZmZlZyTgZYGZmZmZmZlYyTgaYmZmZmZmZlYyTAWZmZmZmZmYl42SAmZmZmZmZWck4GWBmZmZmZmZWMk4GmJmZmZmZmZWMkwFmZmZmZmZmJeNkgNkwJmlzSRMkPSBpv263x8ysWY5fZmZmw5uTAWbDlKRZgd8DHwdWBnaQtHJ3W2VmNjDHLzMzs+HPyQCz4Wsd4IGIeCgi3gD+BmzR5TaZmTXD8cvMzGyYU0R0uw1mVoekbYHNI+KL+f5OwAci4ms16+0J7JnvrgRMKLAZiwDPFFhfL9Xvtnenfre9r3dGxOiC62zZMIlfMPLez07V77b3Zv0jse3DMoaZlcVs3W6AmTWkOmUzZe8i4ljg2LY0QBofEWPbUfdIr99t7079bvuI0fX4BSP7/XTbO1/3SK9/JLfdzLrDlwmYDV+PA8tU3V8aeKJLbTEzGwzHLzMzs2HOyQCz4esmYEVJy0l6B7A9cH6X22Rm1gzHLzMzs2HOlwmYDVMRMU3S14CLgVmB4yPi7g43o23dd3ugfre9O/W77SPAMIlfMLLfT7e983WP9PpHctvNrAs8gKCZmZmZmZlZyfgyATMzMzMzM7OScTLAzMzMzMzMrGScDDAzGwYkrdrtNgxHkhaqU7ZcN9piZvU5fjXmGGZmw5mTAWbWUZI2aKashfoXlLSKpOUljaQY9wdJN0r6P0kLFFmxpLkk/VDSn/L9FSV9qsD692mmbIj+Lmm+qnpXBv5eUN2VOheUtI6kD1X+Cqx7TJ2ytYuq3zrL8ashx6/G2hrD2hm/cv1j6pQ5hpn1iJH0Q2NmHSBpMUnHSbow319Z0h4FbuK3TZY1TdL8kg6QdCdwPfBH4HTgEUlnSNq4xfq/We81kPR1Sfu2UndFRGwI7Eiam328pL9K2qyIuoETgKnAevn+48BPCqobYJc6ZbsWVPfPSDvT80haCzgD+EJBdSPpi8A1pFHvD87/DyqqfuBsSUtVbe/DwPEF1m9VHL/q1u/41b92xi9oYwzrQPwCxzCznubZBMysj7wTfQLw/YhYTdJswK0R8b4W610PWB/YF/hV1aL5gK0iYrUW6r4UOAn4e0S8ULNsLWAn4M6IOG6I9d8FrBkRb9SUzwHcFBHvH1LD629rVmBL4CjgJUDAARFxdgt1jo+IsZJujYg1ctntrbzmuY4dgM8DGwL/qlo0LzA9IjZtpf6q7WwJfDfXu3VE3F9EvbnuO4G1gesjYnVJ7wEOjojPFVT/2sDRwKeBNUkHBp+OiMeKqN/6cvyqW7/jV/16OxK/8ra2pA0xrN3xK2/DMcysh83W7QaY2bCzSEScLml/eHu+8OkF1Ds7MA8p7sxbVf4SsG0rFUdEwzNQEXEzcHMr9adq+u5I58KpktRi3QBIej+wG/BJ4FLSztYtkpYErgOGvDMNvCFpTiDytt5FOtPWqv8Ak4BFgCOryqcAd7RSsaTfktubzQc8BHxdEhGxdyv1V3k9Il6XhKQ5IuI+SSsVVDcRcZOkvYFLgNeBzSJiclH120wcv+pW4/hVR9viF3QshrU1foFjmFmvczLAzGq9ImlhZux4rQu8WEC9B0bEJpJWiYiDC6ivLkmfASrXTF4dEYVcmylpsYh4qrasiLqz3wF/Ip1Fe61SGBFPSPpBi3UfCFwELCPpFGADCugGGxGPAI8A60l6J7BiRFyWd9znJO1UD9X4mvutHhA18rjSNc7nApdKeh54otVKJf2dvgcCc5G+R8flA4HPtLoNq8vxq369jl812hy/oDMxrC3xCxzDzMrClwmYWR+S1iRdA7sqcBcwGtg2Ilo903sP8FXgD6SumX3OSEXELa3Un7dxGKnL5Cm5aAdgfETs32K9OwN7A98CKu1cCzgC+H1EjGul/k7IB0jrkl736yPimQLr/hKwJ7BQRLxL0orAHyJik6K20Qn5Wtj5gYvqnUkdQl0NRcTVrdRv9Tl+1a3X8av/uh2/GtfXkGOYWW9wMsDMZpKvs12JtOM1ISLeLKDObYE9SNdn1p4xiYj4SAHbuANYPSLeyvdnJV0v3PI1sZI+DuxHOsiAdKBxWERc2Grduf4VgUOBlYFRlfKIWL6AujcAbouIVyR9gXTd52/ymbGWSboNWAe4oeqa3jtbvU4717MBaUCsd5J6s4n0eWn5danaxqzAYlT1louIRwusfzHSQR7AjRHxdFF128wcv+rW7fjVuP7baFP8ynW1NYa1O37lbTiGmfUoXyZgZgBI2rrBonfnLoGtXPNJRJwJnCnphxHx41bqGsACwHP59vxFVZp3mgvZcW7gBFJ32F8BG5Ouvy3kel7gGGA1SasB3yGNBH0S0O+Zn0GYGhFvVC4/zgdjRWWajwO+QepiW8S1331I+jrpdX8KeCsXB1DIoGqSPgv8HLiK9H7+VtJ38vfBCuL41T/Hr361M35BG2NYu+NX3oZjmFkPczLAzCo+3c+yoLUBoGZUFPHjmutir4qIfxRRN+nM1K2SriTttHwIaKmLLYCkRYC9SDvpJ5C6134IeBD4VkQ80Oo2gDkj4nJJyme8DpL0L9KOXqumRURI2gI4KiKOk1RvOq2hulrSAcCcStOJ/R/FzaP9YlFnLxvYB1gpIp5tU/3fB9aunEmTNBq4DPCOdLEcvxpw/BpQO+MXtDeGtTt+gWOYWU/zZQJm1lGSDiV1ySz0utiq+pcgdWcUqdvnkwXUeQmpa/C8wCbAicD5wAeBHSNiowK28e9c35nAFcD/SN14Wx4ZWtLVpAG4diMdBEwmdbstqhvsLKQu1B8lve4XA3+OAn5g8nXUs5IO5t4eQbyIa7Rz/VeSRseeVkR9derv0904v1a3F/XaW2c5fjXchuNX4/rbFsPaHb/yNhzDzHqYkwFm1kceqOlA0rWxAVwLHFLUmYc2Xxe7FXBFRLyY7y8AbBQR57ZY7+2R5iwX8EhELFu17LaIWL2V+nM9awP3kroJ/5g0DdXPI+L6AupenDTo2U0R8S9Jy5Jel5NarbtqG+8A3kP6zEwoYgCrXO+VdYoLuUY7138c6fryf9J3R/2XBdX/c1KX3VNz0eeAOyLie0XUb305ftWt1/Fr4G20JX7lutsWw9odv/I2HMPMepiTAWbWh6RLgWuAv+SiHUk7XpsWVP8dub7n8v2FSF1ti9iZnmnHVtKtlUGhWqj3lohYs/Z2vfstbGP5iHio1Xq6QdInSaOsP0g6s7Yc8OU2d+8vhKS63ZijwOnj8vXsG5Jem2si4pyi6ra+HL/q1uv41Q/Hr6a24xhm1qOcDDCzPiTdHBFr1ZSNj4ixBdW/A3AY0Oe62Ij4WwF131G7U17EqNCSXiAdYIjUFfaayiJgw4hYsJX68zauAZYCbsr1/ysi7my13lz3uqTp1t4LvIPUZfXliChkgDJJ9wGfqlx7LOldwD8j4j0F1f9JYBX6jlJ+SBF1d4LSSNzrkM46eiTuNnL8qlvvCzh+9Vd/W+NXrtMxzMyGJScDzKwPSb8gXV96ei7aFlglIooYCKqyjcKvi831Hg+8APyetNPydWDBiNi1xXo7Mt9y7qq6NrAR8GVgnohYqIB6xwPbA2cAY4GdgRUj4oBW6871XxMRH6q6L+Dq6rIW6v4DMBdphPI/kz6PN0bEHi3W++uI2FfS36kzcnhEfKaV+qu2UzsS9wcBj8TdJo5fdet1/Oq//rbFr1xf4TGsU/Erb8sxzKyHORlgZn1ImgLMzYxpimYBXsm3IyLma7H+ts0ZLWlu4IfApqSdlkuAn0TEK/0+cOB6RwOjI+KemvJVgKcjYnIr9ee6NiTtZH2QdN3tbaSza6f287Bm6x4fEWOrzzxK+k9ErN9ivZXp3DYjzaF9OmnHdDvSdbffaqX+vI07IuL9Vf/nAc6OiI+2WO9aEXFzowOlAg+QbicN8NVnJO6IWK2I+q0vx6+69Tp+1a+37fErb6fwGNap+JW35Rhm1sM8taCZ9RER87Z5E22bMzrvNO/Xaj11/JbU7lpLk6Zd+nwB27iadEbzUOCCIgewAl7NZ+1uk3QEMIl0wNSq6uncnmLGezgZaLnrcfZa/v+qpCWBZ0nX9LYkIm7O/wvbaW5glpoutc+SDlCtDRy/6nL8qq8T8QvaEMM6GL/AMcyspzkZYGYzqRosKEhnd84tsPq2zRktaSxp5/adVMW3Agb3el+9na6IuFjSkS3WXbEwsAHpGuS9Jb0FXBcRPyyg7p1IO29fA74BLANs02qlEbFbq3U04R9Ko6r/HLiF9Jn8U1GV5zO9BzHjMyPSGeTlC9rERZIupu9I3BcUVLfV4fg1E8evOjoUv6CNMawD8Qscw8x6mi8TMLM+JB0NrEDfH/4HI2KvguqvzBm9O6lLaWFzRkuaQDpbdyczugnTahdeSf+NiHc32mYUMJd2ruu9pLNTHwTWBx6NiJbPOLabpFGkebprB8javeDtzAGMijz1WkF13kc6wLgZmF4pj4Kmosvb8EjcHeL4Vbdex69+dCp+5W0VGsM6Eb/ydhzDzHqUewaYWa0PA6tGzhRKGkfaOS3K50jdUnePiCeV5oz+eUF1T46I8wuqq9r9kj4REX3Ohkj6OFDIdFqSHgQmkOZF/wOwW1FdbeucPQKgwLNHJwP3AR8DDiFN53Zvq5VKeifwSkQ8k0cU3xB4ADi31bqrvBjtn0LsP6Qd9bdIo61b+zh+zczxq39tiV/QkRjWifgFjmFmPcs9A8ysD0lnA9+onI3KOzOHRcQOBW5jMdKo01DgNEWSNgF2AC4HplbKI+LsFut9N/AP0g7Rzbl4LLAeaUqq/7ZSf97GLBHx1sBrDqnutp49Up4LvWqArNmBiyPiIy3U+UNgV1KX2r+RBlW7CvgAcHtE7Ntimytzq3+WNFXZ2fT9zNzSSv1V2/ki8CPgCtJZtQ8Dh0TE8UXUb305ftWt1/Gr//oLj1+53rbFsE7Fr7wtxzCzHuZkgJn1kbvBrg3cmIvWBq4DXoXWpyxq5zRFkv4CvAe4mxndbKOI7p65e+fngVVz0d3AXyPi9VbrzvW3rauqpBsi4gOt1tNP/TdGxDpKc43/H/Ak6SBpyGfuJN0DrE6akutRYPGIeFXSbKRu2av29/gm6r+yn8XR6oFA1XYmAOtXDlwkLQz8p6iu2daX41fDuh2/GtdfePzK9bYthnUqfuVtOYaZ9TBfJmBmtX5UdVukbo07kHaSivB9YO2omaYIKGLO4tWKuHa3noiYCpzQjrqzwruqVp09ulLSz2nf2aNjJS1ImhbtfGAe+n6OhuL13M34DUkPRkTlYG6apJa7H0fExq3W0aTHgSlV96cAj3Vo22Xk+FWH41e/2hG/oI0xrIPxCxzDzHqakwFm1kdEXC1pddJZpM8CDwN/qDca9RC1c5qi6yWtHDXzabdKae7yet2oKiM3tzR3ebZCRGwnaYuIGCfpr8DFLdZZO1L42KrbARRy9igi/pxvXg0UdR3vAnnQKgHzacac4ALmb7VySd8kXW97XE3514FZI+LXBdQP8D/gBknnkV7zLZhx1toK5vg1M8ev/rUpfkEbY1i741fVNsAxzKynORlgZsDb15VuTzqL9ixwGulSoqLPQLRzmqINgV0kPUw6g1TZ2W1paq5o/9zlAG/m/y9IWpXUVXVMKxV26uxR7oK8Dam91QN8HdJCtVczYx7wa+g7J/g1LdRbsTuwZp3yY0kDZP26xforn5kH81/FeS3Wa3U4fjXm+NW/NsUvaG8Ma3f8Ascws1LwmAFmBoDSvND/AvaIiAdy2UMFjtiMJAFLk67jLXyaojxY2Eyixam5OiEP0nQW8H5Sd955gB9FxB9aqLPtZ49yfRcBLzLzAF9FzWFeOEl3NuqS3d+yFrY3d0S8UmSdNoPjV3c5fnVWp+NXrtcxzKwHORlgZgBI2op0Zm190jzafwP+HBHLFbydmyNirSLrrLONRek7iNWj7dzecCXpLmDNqJniK58Ju6nVM47V22l1QL9Ok3QnsGlEPFVTvhhwWVE705LWA44D5omIZSWtBnw5Ioq6ht1w/OpFjl+NdSp+5Todw8x6WFHXuZnZCBcR50TE50ijWV9FmsppMUnHSPpogZu6XtLaA682eJI+I+l+0nXCVwMTgU7MwdwySXNI+rykAyT9qPLXYrVRuyOdCytdkIvyH0ltGfisjX4O/FPShyXNm/82Av4O/KLA7fyaNKjaswARcTvwoQLrNxy/us3xq+M6Fb/AMcysp3nMADPrI3cDPAU4RdJCwHbAfsAlBW1iY+DLkh4BXqGg62KzHwPrks6MrCFpY9I1xCPBeczoqjp1gHWbJmmxBmePiqj7TtKAUrMBu0l6iAKvdW6niDhJ0mTSyOerkp7H3cCBEVHoAVhEPJZ6mL9teqN1rTWOX13j+NVBnYxfeXuOYWY9yskAM2soIp4D/pj/ivLxAuuq9WZEPCtpFkmzRMSVkg5v4/aKtHREbF5wnZWzR98CKtNwrQUcQTFnjz5VQB0DkrQ+Mw/udVKr9ead5nafeX0stz8kvQPYmxanXLPmOH51lONXP9oRwzoUv8AxzKynORlgZp22BHB3REwBkDQvsDJQxCBZL0iahzRS8ymSngamFVBvJ/xH0vsi4s6iKmz32aPqgc2U5gTfMG/j31HQHOCSTgbeBdzGjLNRAbScDOiQrwC/AZYizdd9CbBXV1tkrXD8qs/xqwHHMDMbzjyAoJl1lKRbSYNCRb4/CzA+IupNkzTYuucGXiONh7IjaS7nUyLi2VbrbpearqorAiOmq2pFvjZ4O+DsXLQlcEZE/KSAuu8FVg7/WNkw4PjVl+NXU/U7hpnZsOVkgJl1lKTbImL1mrI7Wt1plDQrcHFEbNpKPZ3WaDqxihEyrdi9wBoR8Xq+PydwS0S8t4C6zwD2johJrdZVU+8+EfEbSRtExL+LrLtmO+OAfSLihXx/QeDIiNi9Xdu09nH86svxq6n6C49hnYpfeVuOYWY9zLMJmFmnPSRpb0mz5799SGeTWhIR04FXJc3fehM7JyIeyTvMP6ncri7rdvuaNJGqqdCAOYAHC6p7EeAeSRdLOr/yV0C9u+X/vy2grv68v7ITDRARzwNrtHmb1j6OX1Ucv5rSjhjWqfgFjmFmPc1jBphZp30FOAr4Aal76eXAngXV/Tpwp6RLSSN9AxARexdUfzutUn0nnyls63zmBZoK3J1f9wA2A66VdBS0/Pof1Hrz6rpX0kRgtKQ7qsqL7t48i6QF8w40eYR7//aOXI5f9Tl+NXZQi4+vp1PxCxzDzHqav8xm1lER8TSwfZuq/2f+67PJNm2rEJL2Bw4A5pT0UqUYeAM4tqBtzAFsw8yjWR9SRP3AOfmv4qqC6iUirs5TiVXmdr8xf4ZarXcHSYsDFwOfabW+fhxJGlztzHx/O+CnbdyetZHjV1+OXwNrRwzrYPwCxzCznuYxA8ysIyR9NyKOkPRb6uzgtuPsl6RlgO0j4udF1100SYdGxP5tqvsiZswB/vb80BFxZDu2VyRJnyVNMXYV6SDjg8B3IuLM/h43yG28A3h3vjshIt4squ5c/yqk+ekFXB4R9xRZv7Wf41f/HL8aa3cMa3f8yttwDDPrUe4ZYGadUpmXeHw7NyJpEdKZix1IUyGd0/8jhoeI2D8PzLQiVdevRsQ1BVTfjjnAq0cSryciYrUCNvN9YO3KmTRJo4HLgKJ2pD9MmuJrImlHdxlJuxT0ugMQEXfnKdJG5W0uGxGPFlW/dYTjVz8cv/rVthjWifgFjmFmvczJADPriIj4e/4/rui681zfWwGfJ50hOQdYPiKWLnpb7SLpi8A+wNKk+ajXBa4DPlJA9YXPAZ59qk6ZSM/hgIK2MUtNl9pnKXbw218CH42ICQCS3g2cSkHXO0v6DKmb7ZLA08A7SQeWq/T3OBteHL/65/jVr3bGsLbGr1ynY5hZD3MywMw6YqDRkyOilesenwZuJA3qdW1EhKStWqivG/YhXVN6fURsLOk9wMEF1b0hsKukhylwDvDqacMkrU46mPks8DBwVit1V7lI0sWkHVyAzwEXFFQ3wOyVHWmAiPivpNkLrP/HpAOjyyJiDUkbk8762gji+DUgx6/G2hnD2h2/wDHMrKc5GWBmnbIe8Bhph+gG0g5dUQ4gDep1DPBXSacVWHenvB4Rr0tC0hwRcZ+klQqq++MF1dNHPgu1PWnH8FngNNJYNBsXtY2I+I6kbYANSJ+ZYyOiyK7T4yUdB5yc7+9Iuja5KG9GxLOSZpE0S0RcKenwAuu3znD86p/jVwNtjmHtjl/gGGbW0zyAoJl1RJ5qajPSjtf7SaNmnxoRdxe4jeVz/duTrl09EDgnIv5b1DbaRdI5pLmj9yV1rX2edNbnEwVuY1H6Xs/b0jWfkt4C/gXsEREP5LKHImL5lhraQXmk8r1IZx8FXAMcHRFTC6r/MmBL4FDSfONPk64fXr+I+q0zHL/65/jVHe2OX3kbjmFmPczJADPruLwDswNphOVDIuK3bdjG+/I2PhcR7yq6/nbKg0LND1wUEW8UUF/daz4joqVrPnNX5u2B9YGLgL8Bf46I5VprMUi6NiI2lDSFvoN8VboIz9fqNtqpMsCWpLmB10jXCO9Iel9PiYhnu9pAGzLHr/45fr1dv2OYmQ17TgaYWcfknehPknZyxwDnA8dHxP+62a5ukrRQf8sj4rkCtnE76Wxdn2s+I2LPVuvO9c9NOnO0Q97OONIZzUuKqH8kknRLRKyZb58VEdt0u03WGsevmTl+9S7HMLNycDLAzDpC0jhgVeBC4G8RcVeXmzQs5EGxgnS2aAngicoi0tmjlrusShofEWPzTvUaEfGWpBsjYp1W666zrYVIU6N9LiJaHklc0skRsdNAZcONpFsjYo3a2zYyOX7V5/jVVJ2OYWY2bHkAQTPrlJ2AV0hTZ+0tvT3+1ojoMtku1V1S27jD9YKkeUjXk54i6WlgWhu2UzkT+Mf8V4Q+XYElzUax02aNiYiJNWVrR8RNLVYdDW7byOT4VYfjV1PaFsPaGL/AMcysFNwzwMxsmKjulllwvXMDr5MOXEbENZ+S9ieNsj4n8GqlGHiDNBr3/gVt5xbg05Wu3vl6599FxPtarHc66eBRzPwcSnvwaL3L8auvTsSwdsWvXJdjmFkJOBlgZiOepNMj4rOS7qT+QE0tzUfdKe3amR7JJB1a1IF/g/rXBo4GPg2sCfyMtHP9WLu2aVbN8au3tTOGOX6ZWat8mYCZ9YJ98v9PdbUVQyDpm1V3F625T0T8soBt1I5mDfAiMB74VkQ81Oo22uhGSfNHxIsAkhYANoqIc4uoPCJukrQ3cAnp7ONmETG5iLrNmuT41f82RnL8gjbGMMcvM2uVewaYmXWRpAP7Wx4RBxewjYNJA3v9lXS2cXtgcWAC8NWI2KjVbbSLpNsiYvWaspavTZb0d/oeYKwMTCLNj05EfKaV+s3KwPFrYO2IYY5fZlYUJwPMbMRrcObobWW/tlHSDRHxgZqy6yNiXUm3R8Rq3WrbQCTdUdtNWtKdBVzT/+H+lkfE1a3Ub9Ysx6/+jeT4Be2JYY5fZlYUXyZgZiNeRMwLIOkQ4EngZGYMNjVvF5s2XLwl6bPAmfn+tlXLhntGeLykXwK/J7X168DNrVbqnWUbLhy/BjSS4xe0IYY5fplZUdwzwMx6RoMzSDOVlY2k5YHfAOuRdkavB74B/A9YKyKu7WLz+pVHEv8hsCnpAOkS4CcR8UpB9W8NHA4smuv3SNnWFY5f9Y3k+AXtjWGOX2bWKvcMMLNeMl3SjsDfSDuNOwDTu9uk7pI0K+m62k83WGVY70jnHeb92riJI0ijb9/bxm2YNcPxq8ZIj1/Q9hjm+GVmLXEywMx6yedJZ5B+Q9qZ/ncuG/YkLUaaFmrJiPi4pJWB9SLiuFbqjYjpktYqpJFdIOlK6nQFjoiPFLSJp7wjbcOE41eNkR6/oO0xzPHLzFriywTMzIYBSRcCJwDfj4jVJM0G3NrqQHm57iOBFYEzgLe7pkbE2a3W3W41BwKjgG2AaRHx3YLq/w1pZPJzgamV8pHw2pgNF45fjbUzhjl+mVmr3DPAzHqGpBOofwZm9y40Z7AWiYjTJe0PEBHTJBXVRXgh4Fmg+kxUAMN+hzEiagfa+rekIgfPmg94Ffho9WYZAa+N9RbHr4ZGbPyCtscwxy8za4mTAWbWS/5RdXsUsBVpfuqR4BVJC5MPBiStC7xYRMURsVsR9XSDpIWq7s4CrEU6E1aIkfzaWM9x/KpjpH9H2xnDRvprY2bd58sEzKxnSZoFuKzA68vbRtKawG+BVYG7gNHAthFxRwF1L53r3oC0s34tsE9EPN5q3e0m6WFSmwVMAx4GDilqBHFJo4A9gFVIB2DAiDkbaz3M8evtukds/IL2xjDHLzNrlXsGmFkvWxFYttuNGEgeMfvD+W8l0k7jhIh4s6BNnAD8Fdgu3/9CLtusoPrbIh8MfSEi/t3GzZwM3Ad8DDiENLe7B+Sy4cDxKxmR8Qs6EsMcv8ysJe4ZYGY9Q9IUZpyBCeBJYP+IOKurDWuCpKsiYqM21X1bRKw+UNlwJOm6iFivjfXfGhFrSLojIt4vaXbg4pFwNtZ6i+NXw7pHbPyC9sYwxy8za5V7BphZz4iIebvdhhb8W9LvgNPoO2L2LQXU/YykLwCn5vs7kAbkGgkukbQNcHa0J3tdOXv5gqRVSQdgY9qwHbN+OX41NJLjF7Q3hjl+mVlL3DPAzHqKpAVJ3Wurr5+8pnstak6ei7pWFHGGR9KywO+A9UhnHP9Duub2kVbrbrd8tnRu0rW2r5PPmkbEfAXV/0XgLOD9pK7H8wA/jIg/FlG/2WA4ftWte8TGL2hvDHP8MrNWORlgZj0j7xjtAywN3AasC1znLpNmNtw5fpmZWaf5MgEz6yX7AGsD10fExpLeAxzc5Tb1S9IXIuIvkr5Zb3lE/LKFuo/qb3lE7D3UujtF0uURsclAZUOs+8PA8xFxh6TPAh8CHgCOiYiprdZvNkiOX33rHvHxC9oXwxy/zKwITgaYWS95PSJel4SkOSLiPkkrdbtRA5g7/2/H9cJfIU3zdTppvnK1YRttkafMmgtYJHedrrR9PmDJAur/Palr7ShJE0jday8C1geOJ43KbdZJjl99jdj4Be2NYY5fZlYUXyZgZj1D0jnAbsC+wEeA54HZI+IT3WxXt0hamDQd1+dI16ueBpwVEc93tWFNkLQP6X1cEvgfM3akXwL+FBG/a7H+eyJi5bzD/j9g0YiYLknAHRHxvlbqNxssx6++RnL8gvbGMMcvMyuKkwFm1pNyF8r5gYsi4o1ut2cgkkYDXyKNBP12r62I2L2g+pcijcL9TeB7EXFyEfW2m6SvR8Rv21DvLRGxZu3tevfNOs3xa6b6R2T8gvbEMMcvMyuKLxMwsxFP0lzAmxHxZr6/ErAm8MhI2JHOzgP+BVwGTC+yYklrknakNwMuBG4usv42e1LSvBExRdIPSO/rTwqYsmzRfJ2zqm6T749usW6zpjl+9W+Exy9oTwxz/DKzQrhngJmNeJKuAfaIiPslrQDcCJwCrAzcFBH7dbWBTZB0W0SsXnCdBwOfAu4F/kY6yzityG20m6Q7IuL9kjYEDgV+ARwQER9osd4D+1seEcN64DbrHY5fDesc8fEL2hPDHL/MrChOBpjZiCfpzso1kpJ+DCwUEXtJegdw80i4flLST4D/RMQFBdb5FvAQ8FouqgT8yjzX7y9qW+0i6daIWEPSocCdEfHXSlm322ZWBMevhnWO+PgFjmFmNrz5MgEz6wXVWc2PAD8HiIg38g7lsCVpCqn9Ag6QNBV4kxk7vPO1UP1yBTSx2/4n6Y/ApsDhkuYAZulym8yK5PhVXy/EL3AMM7NhzD0DzGzEk/QX4EnSqMr7ActFxKuSFgCujojVutm+bpK0JbAC6YzUxV1uzqDl66k3J7X/fklLAO+LiEu63DSzQjh+NTbS4xc4hpnZ8ObMpJn1gi8Bz5BGsv5oRLyay1cmXZ857EnaQNLc+fYXJP1S0rIt1nk08A1gYeDHkn5YQFM7Kr+X5wGv5NdjduC+7rbKrFCOX/XrHPHxCxzDzGx4c88AM7NhQNIdwGrA+4GTgeOArSPiwy3UeRewWp5/ei7gXxGxViEN7hBJXwcOBJ4CKl2mW75euGr07boi4pet1G9WJo5fjbUjhjl+mVlRPGaAmY14kv4OHEsabfrNmmXLA7sCEyPi+C40r1nTIiIkbQH8JiKOk7RLi3W+ERHTIZ2dkqTWm9lx+wArRcSzBdc7b8H1mQ2J41dDvRC/oD0xzPHLzArhngFmNuJJWhz4JrAN8BwwGRhF6nb7IPC7iDivaw1sgqSrgYuA3YAPkZ7Dba2MJC7pNeB+0mBeAO8CHmAEjcYt6Upgs5E4pZhZMxy/GtY54uMXOIaZ2fDmZICZ9RRJY4AlSNNR/bfq+tthLR8QfJ40r/i/8rWlG0XESS3U+U76jlTeR0Q8OtS6O0XSccBKwD+BqZXyorrBShoF7AGsQjoAq9S/exH1mw2G41efOkd8/IL2xjDHLzNrlS8TMLOeEhETgYldbsZQrFG9cxgRj+brZFtxF413pqdKehD4fkRc3uJ22unR/PeO/Fe0k0mDeX0MOATYEbi3DdsxG5DjVx+9EL+gvTHM8cvMWuKeAWZmw4Ck/wA/iIgr8v3vkc6sfbxN25sVWBU4JSJWbcc2iiRpXlLX4JcLrvfWiFhD0h0R8X5JswMXR8RHityOWS9z/BpYO2KY45eZtco9A8zMhofPAP+Q9B3SnNTvyWVtkQfmul3Sb9u1jSJIWpV09muhfP8ZYOeIuLugTVQGbHshb+tJ0rXaZtY8x68G2hzDHL/MrCXuGWBmPUPSp4ALIuKtAVcehiQtClwG3AzsHg7QlTOO34+IK/P9jYCfRcT6BdX/ReAs4H3AicA8wA8j4o9F1G/WLMev3tTOGOb4ZWatcjLAzHqGpL8A65F2jk6IiGF/7aSkKfS9LvYdwLRcFhExX1caNkxIuj0iVhuobIh1zwJsGxGnt1qXWascv3pTu2KY45eZFcHJADPrKZLmA3YgTXEVwAnAqRExpasN60eeP3uZkTI6didJOge4hdTNFuALwNiI2LKg+q+JiA8VUZdZqxy/ek87Y5jjl5m1apZuN8DMrEgR8RLpzNrfSFN0bQXcIunrXW1YP3J32nO63Y5handgNHB2/luEdKBUlEslfVvSMpIWqvwVWL9Z0xy/elI7Y5jjl5m1xD0DzKxnSPo0acfrXaSzMOMi4uk8xdW9EfHOrjawH5J+D5wYETd1uy3DQZ4/e96ImFxTvhjwYkS8XtB2Hq5THBGxfBH1mzXL8au3dCKGOX6ZWaucDDCzniHpJODPEXFNnWWbDOf5qCXdA6xEmmP8FUCknbr3d7Nd3SLpWOCiiDi7pnxHYMOI+Gp3WmbWHo5fvcUxzMxGAicDzMyGAUl1z/pFxCOdbstwIOmeiFi5wbK7I2KVgrazc73yiDipiPrNysDxa2adiGGOX2bWqtm63QAzs6JI2ho4HFiUdGaqcnZq2I9oHRGPSNoQWDEiTpA0mjRNVFmpn2VFjnezdtXtUcAmpMG+vDNtHeX41XM6EcMcv8ysJU4GmFkvOQL49EiYkquWpAOBsaSuticAswN/ATboZru66GlJ60TEjdWFktYGJjd4zKBFRJ+B2STNz4xRv806yfGrt7Q9hjl+mVmrnAwws17y1Ejckc62AtYgndUhIp6QNG93m9RV3wFOl3QicHMuGwvsDGzfxu2+CqzYxvrNGnH86i3diGGOX2Y2KE4GmFkvGS/pNOBcYGqlsHYAp2HqjYgISQEgae5uN6ibIuJGSesAewG75uK7gQ9ExNNFbUfS30nzuUPqursycEZR9ZsNguNXD+lEDHP8MrNWeQBBM+sZkk6oUxwRsXvHGzNIkr5NOqOzGXAoaYqxv0bEb7vasB4n6cNVd6cBj0TE491qj5WX45cNluOXmbXKyQAzs2FC0mbAR0kDT10cEZd2uUk9T9LhEfG9gcrMrH+OX53n+GVmrXIywMx6hqRRwB7AKqSRlQEYCWfWqklaBHg2HKDbTtItEbFmTdkdZZ4f3brD8csGy/HLzFpV5PRMZmbddjKwOPAx4GpgaWBKV1s0AEnrSrpK0tmS1pB0F3AX8JSkzbvdvl4l6auS7gRWknRH1d/DwB3dbp+VkuOXNcXxy8yK4p4BZtYzJN0aEWtUzoxImp3UXfUj3W5bI5LGAwcA8wPHAh+PiOslvQc4NSLW6GoDuyzPV/490sBY1WdLW3pP8xRcC5Kub96vatGUiHiulbrNhsLxqze1I4Y5fplZUdwzwMx6yZv5/wuSViXtoI7pXnOaMltEXBIRZwBPRsT1ABFxX5fbNVycAtwLLAccDEwEbiqg3lmBl0gjfU+p+kPSQgXUbzZYjl+9qR0xzPHLzArhqQXNrJccK2lB4IfA+cA8+fZw9lbV7ddqlrnrFiwcEcdJ2icirgaulnR1AfXezIzXVzXLAli+gG2YDYbjV29qRwxz/DKzQjgZYGY9IyL+nG9ezcjZGVpN0kukHbo5823y/VGNH1YalbOlkyR9EniCdC11SyJiuVbrMCuS41fPKjyGOX6ZWVGcDDCzniFpYeAgYAPS2ZF/AT/+//buNdaysrwD+P8ZtA5FqOWLaG1FVGqBTBGG1qpBwVtaq/GCBSsxVWKTfmiL1qaXRE2sHxrUXkJbLTRNKkQUK1ZBTb1ARGytBUpBkEQEUaxIlRQV0HJ5+mHv6QzjmZl9Zu+z1znr/H4J2Xu9K6z1JJP8Z82z3/dd3f2dIevam+4+YOga1rm3TdfH/l6Ss5MckuT1i7p4VZ240nh3X76oe8As5NdorVmGyS9gXjYQBEajqj6Z5PIk50+HXpXk2d393OGqYj2rqot3Odya5BeSXLWeN21jnOQXqyW/gHlpBgCjUVVXdffxu41d2d3bh6qJ+Ux34n5dJhup/f9strV693pV/XSSs7r7lWtxfdgT+TVOy8ww+QWslmUCwJhcVlWnJblwenxKko8OWA/z+3Am06U/leSBJdzvtiTHLOE+sDv5NU7LzDD5BayKmQHAaFTV95IclJ07XG9Jcvf0e3f3IYMUxn6rqmu6+9g1vP7Z2bkr95Ykxyb5anefvlb3hJXIr3FaywyTX8C8zAwARqO7Dx66Bhbukqr6le7+2Bpd/8pdvt+f5ILu/twa3Qv2SH6N1lpmmPwC5mJmADAqVbUtP7o286LBCmIuu/xa+sNMXtFVWeCvpFV1UJIfdPcD0+MDkjyiu+9ZxPVhNeTX+KxlhskvYF5mBgCjUVV/n2Rbkuuzc6ptJ/EwvUEt4dfSTyd5bpLvT48PTPKJJE9f4/vCQ8ivcVrjDJNfwFw0A4AxeVp3HzV0Ecyvqp7S3TdW1XErne/uqxd0q63dveNBOt39/ar68QVdG1ZDfo3IkjJMfgFz0QwAxuRfq+qo7r5h6EKY2xuS/GaSd65wrpMs6j3ad1fVcTsezKvq+CT3LujasBrya1yWkWHyC5iLPQOA0aiqE5NcnOT2TNZn7libuW3Qwli3quqEJO9L8l/TocckObW7rxquKjYj+cVqyS9gXpoBwGhU1U2Z/BpzXXauuU133zpYUcytqp6eH91U7T0LvP7Dk/xsJv/4urG771vUtWFW8mu81jLD5BcwD8sEgDH5Wnd/ZOgiWJyqOi/JE5Nck+SB6XAnmetBuqpO7u5Lq+plu516clXZwZ0hyK8RWosMk1/AomgGAGNyY1W9N5Optj/cMejBaEPbnuSoXvw0tmcluTTJi1Y4Zwd3hiC/xmktMkx+AQuhGQCMyYGZPEQ/f5cxD0Yb2xeTHJbkm4u8aHe/paq2JPl4d1+4yGvDfpJf47TwDJNfwKLYMwCAdaeqLs7kH0IHJzk2yRfy0F9LX7yg+1ze3Scu4loAOywjw+QXMC/NAGA0qupxSc5O8oxMHsKuSPK73X3boIWxalX1rL2d7+7PLOg+b8rkVVzvT3L3Lte/cxHXh1nJr3FZRobJL2BemgHAaFTVJ5O8N8l506HTk7yqu583XFXsj6p6UpJHd/fndhs/Mck3uvsrC7rPLSsMd3cfsYjrw6zk17gsI8PkFzAvzQBgNKrqmu4+dl9jrH9VdUmSP+7ua3cb357kLd290sZZsGHJr3GRYcBGYANBYEy+XVWnJ7lgevzKJN8ZsB723+G7P0QnSXdfWVWHL+omK7yaK0nuSnJdd9+xqPvADOTXuKx5hskvYF6aAcCYvDbJXyX580zW3P7LdIyNZ+tezh24wPuckeSXklw2PX52ks8nObKq3trd5+3pf4QFk1/jsowMk1/AXDQDgNHo7q8lWcgu8wzu36vqdd197q6DVXVGkqsWeJ8Hk/xcd39rev1HJ3lXkl9Mcnl2rt+GNSW/RmcZGSa/gLloBgAbXlWdleTm7n73buOvT3JYd//BMJUxhzOTfKiqXpWdD87bk/xYkpcu8D6H73iQnrojyZHdfWdV3bfA+8CK5NdonZm1zzD5BczFBoLAhldVNyQ5prsf3G18S5Jru/uYYSpjXlV1UpIdf37Xd/elC77+3yT5mSQfmA6dkuS2JG9Mckl3n7TI+8Hu5Ne4rWWGyS9gXpoBwIZXVdd399GrPQdVVUleluSZSSrJFd39j8NWxWYiv9hf8guY15ahCwBYgHuq6sm7D07H7h2gHjaInvhgd7++u89McntV/fXQdbGpyC/2i/wC5mXPAGAM3pzk41X1tjx0beYfZbJuE/aoqo7N5DVupya5JclFgxbEZiO/2G/yC5iHZQLAKFTVMUl+PzvXZn4xyTu6+7rhqmK9qqojk5yWne9yf3+SN3b34wctjE1JfrEa8gtYFM0AADadqnowyWeTnNHdN03Hbu7uI4atDGDv5BewKPYMAGAzenmS25NcVlXnVtVzMtmAC2C9k1/AQpgZAMCmVVUHJXlJJtNtT07yD0k+1N2fGLIugH2RX8C8NAMAIElVHZrkFUlO7e6Th64HYFbyC9gfmgHAhldVZyfZY5h19+8ssRyAmckvAIbi1YLAGFw5dAEA+0l+ATAIMwMAAABgkzEzANjwquovuvvMqro4K0y37e4XD1AWwD7JLwCGohkAjMF50893DFoFwOrJLwAGYZkAMBpVtTXJkzL5de0r3f2DgUsCmIn8AmDZtgxdAMC8quphVXVWktsyec/y+Um+XlVnVdXDh60OYM/kFwBD0QwAxuDtSQ5N8oTuPr67n5rkiUkeFVNvgfVNfgEwCMsEgA2vqr6c5MjeLdCq6oAkN3b3k4epDGDv5BcAQzEzABiD3v1Bejr4QFbYnRtgHZFfAAxCMwAYgxuq6tW7D1bV6UluHKAegFnJLwAGYZkAsOFV1U8luSjJvUmuyuTXtBOSHJjkpd39jQHLA9gj+QXAUDQDgNGoqpOTHJ2kklzf3Z8euCSAmcgvAJZNMwAAAAA2GXsGAAAAwCajGQAAAACbjGYAAAAAbDKaAcBoVNXLqurLVXVXVX23qr5XVd8dui6AfZFfACybDQSB0aiqm5K8qLu/NHQtAKshvwBYNjMDgDH5lgdpYIOSXwAslZkBwGhU1V8mOSzJPyX54Y7x7r5oqJoAZiG/AFi2hw1dAMACHZLkniTP32Wsk3iYBtY7+QXAUpkZAAAAAJuMmQHAaFTV1iRnJDk6ydYd49392sGKApiB/AJg2WwgCIzJeZmsuX1Bks8keVyS7w1aEcBs5BcAS2WZADAaVfUf3f3Uqrq2u7dV1cOT/HN3nzx0bQB7I78AWDYzA4AxuW/6+T9VdUySn0hy+HDlAMxMfgGwVPYMAMbknKr6ySRvSvKRJI9M8uZhSwKYifwCYKksEwAAAIBNxswAYMOrqtO7+/yqesNK57v7z5ZdE8As5BcAQ9EMAMbgoOnnwYNWAbB68guAQVgmAAAAAJuMtwkAo1FVR1TVxVX131V1R1V9uKqOGLougH2RXwAsm2YAMCbvTXJhksckeWySDyS5YNCKAGYjvwBYKs0AYEyqu8/r7vun/52fxFooYCOQXwAslQ0EgQ2vqg6dfr2sqv4wyfsyeYg+NclHBysMYB/kFwBDsYEgsOFV1S2ZPDzXCqe7u627BdYl+QXAUDQDAAAAYJOxTAAYlao6JslRSbbuGOvu9wxXEcBs5BcAy2RmADAaVfWWJM/O5GH6Y0l+OckV3X3KkHUB7Iv8AmDZvE0AGJNTkjwnye3d/ZokP5/kEcOWBDAT+QXAUmkGAGNyb3c/mOT+qjokyR1JbL4FbATyC4ClsmcAMCZXVtWjkpyb5Kok30/yhUErApiN/AJgqewZAIxCVVWSx3X316fHhyc5pLuvHbQwgH2QXwAMQTMAGI2quqq7jx+6DoDVkl8ALJs9A4Ax+XxVnTB0EQD7QX4BsFRmBgCjUVU3JDkyya1J7k5SSbq7tw1aGMA+yC8Alk0zABiNqnr8SuPdfeuyawFYDfkFwLJpBgCjVFUHJXlJkl/v7hcOXA7AzOQXAMtgzwBgNKrqx6rqJVV1YZJvJnlukncPXBbAPskvAJbNzABgw6uq5yV5ZZIXJLksyfuTnN3dhw9ZF8C+yC8AhqIZAGx4VfVgks8m+Y3uvmU6dnN3HzFsZQB7J78AGMrDhi4AYAGOT3Jakk9V1c1J3pfkgGFLApiJ/AJgEGYGAKNSVc/IZMrty5Nck+RD3X3OoEUBzEB+AbBMmgHAKFXVliTPS3Jad79m6HoAZiW/AFgGzQAAAADYZLxaEAAAADYZzQAAAADYZLxNANjwquqQ7v5uVR260vnuvnPZNQHMQn4BMBR7BgAbXlVd0t2/WlW3JOkktcvp9r5uYL2SXwAMRTMAAAAANhnLBIANr6qO29v57r56WbUArIb8AmAoZgYAG15VXTb9ujXJ9iT/mclU221J/q27nzlUbQB7I78AGIq3CQAbXnef1N0nJbk1yXHdvb27j0/y1CQ3DVsdwJ7JLwCGohkAjMlTuvu6HQfd/cUkxw5XDsDM5BcAS2XPAGBMvlRVf5fk/Ex25T49yZeGLQlgJvILgKWyZwAwGlW1NclvJTlxOnR5knd19w+Gqwpg3+QXAMumGQAAAACbjGUCwGhU1S2ZTK99iO4+YoByAGYmvwBYNs0AYEy27/J9a5JXJDl0oFoAVkN+AbBUlgkAo1ZVV3hPN7ARyS8A1pKZAcBoVNVxuxxuyeSXtoMHKgdgZvILgGXTDADG5J27fL8/yVeT/NowpQCsivwCYKksEwAAAIBNxswAYFSq6oVJjs5kA64kSXe/dbiKAGYjvwBYpi1DFwCwKFX17iSnJvntJJXJbtyPH7QogBnILwCWzTIBYDSq6tru3rbL5yOTXNTdzx+6NoC9kV8ALJuZAcCY3Dv9vKeqHpvkviRPGLAegFnJLwCWyp4BwJhcUlWPSvL2JFcn6STnDloRwGzkFwBLZZkAMEpV9YgkW7v7rqFrAVgN+QXAMlgmAGx4VXVCVR22y/Grk1yY5E+q6tDhKgPYO/kFwFA0A4Ax+Nsk/5skVXVikj9N8p4kdyU5Z8C6APZFfgEwCHsGAGNwQHffOf1+apJzuvuDST5YVdcMVxbAPskvAAZhZgAwBgdU1Y7m5nOSXLrLOU1PYD2TXwAMwl8ywBhckOQzVfXtTF7P9dkkqaonZTLVFmC9kl8ADMLbBIBRqKqnJXlMkk90993TsSOTPLK7rx60OIC9kF8ADEEzAAAAADYZewYAAADAJqMZAAAAAJuMZgAAAABsMpoBAAAAsMn8H1y/JD25tkKkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display side by side using subplots - profit chart next to Profit to Sales\n",
    "plt.figure(figsize=(10,6))\n",
    "\n",
    "#plot 1:\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.bar('Name','Profit (in millions)', data=df_profit_to_sales_ratio, color=\"lightblue\")\n",
    "plt.xlabel(None)\n",
    "plt.ylabel(\"Profit (in millions)\", size=15)\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "#plot 2:\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.bar('Name','Profit to Sales ratio', data=df_profit_to_sales_ratio, color=\"green\")\n",
    "plt.ylabel(\"Profit to Sales ratio %\", size=15)\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "# Super title\n",
    "plt.suptitle(\"Top 10 companies (by profit) Forbes 2000 in 2021 - PROFIT IN MILLIONS (left) vs. PROFIT TO SALES RATIO (right)\", size=18)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a3cba48",
   "metadata": {},
   "source": [
    "# 7. What are the top 20 companies in terms of assets?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8dbd9a4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_top_assets = df.sort_values('Assets (in millions)', ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0691b720",
   "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>Rank</th>\n",
       "      <th>Name</th>\n",
       "      <th>Country</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Assets</th>\n",
       "      <th>Market Value</th>\n",
       "      <th>Sales (in millions)</th>\n",
       "      <th>Profit (in millions)</th>\n",
       "      <th>Assets (in millions)</th>\n",
       "      <th>Market Value (in millions)</th>\n",
       "      <th>In profit</th>\n",
       "      <th>Profit to Sales ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ICBC</td>\n",
       "      <td>China</td>\n",
       "      <td>$190.5 B</td>\n",
       "      <td>$45.8 B</td>\n",
       "      <td>$4,914.7 B</td>\n",
       "      <td>$249.5 B</td>\n",
       "      <td>190500.0</td>\n",
       "      <td>45800.0</td>\n",
       "      <td>4914700.0</td>\n",
       "      <td>249500.0</td>\n",
       "      <td>True</td>\n",
       "      <td>24.041995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>China Construction Bank</td>\n",
       "      <td>China</td>\n",
       "      <td>$173.5 B</td>\n",
       "      <td>$39.3 B</td>\n",
       "      <td>$4,301.7 B</td>\n",
       "      <td>$210.4 B</td>\n",
       "      <td>173500.0</td>\n",
       "      <td>39300.0</td>\n",
       "      <td>4301700.0</td>\n",
       "      <td>210400.0</td>\n",
       "      <td>True</td>\n",
       "      <td>22.651297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Agricultural Bank of China</td>\n",
       "      <td>China</td>\n",
       "      <td>$153.9 B</td>\n",
       "      <td>$31.3 B</td>\n",
       "      <td>$4,159.9 B</td>\n",
       "      <td>$140.1 B</td>\n",
       "      <td>153900.0</td>\n",
       "      <td>31300.0</td>\n",
       "      <td>4159900.0</td>\n",
       "      <td>140100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>20.337882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>298</td>\n",
       "      <td>Fannie Mae</td>\n",
       "      <td>United States</td>\n",
       "      <td>$109.6 B</td>\n",
       "      <td>$11.8 B</td>\n",
       "      <td>$3,986.1 B</td>\n",
       "      <td>$2.8 B</td>\n",
       "      <td>109600.0</td>\n",
       "      <td>11800.0</td>\n",
       "      <td>3986100.0</td>\n",
       "      <td>2800.0</td>\n",
       "      <td>True</td>\n",
       "      <td>10.766423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Bank of China</td>\n",
       "      <td>China</td>\n",
       "      <td>$134 B</td>\n",
       "      <td>$27.9 B</td>\n",
       "      <td>$3,731.4 B</td>\n",
       "      <td>$116.7 B</td>\n",
       "      <td>134000.0</td>\n",
       "      <td>27900.0</td>\n",
       "      <td>3731400.0</td>\n",
       "      <td>116700.0</td>\n",
       "      <td>True</td>\n",
       "      <td>20.820896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>JPMorgan Chase</td>\n",
       "      <td>United States</td>\n",
       "      <td>$136.2 B</td>\n",
       "      <td>$40.4 B</td>\n",
       "      <td>$3,689.3 B</td>\n",
       "      <td>$464.8 B</td>\n",
       "      <td>136200.0</td>\n",
       "      <td>40400.0</td>\n",
       "      <td>3689300.0</td>\n",
       "      <td>464800.0</td>\n",
       "      <td>True</td>\n",
       "      <td>29.662261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>52</td>\n",
       "      <td>Mitsubishi UFJ Financial</td>\n",
       "      <td>Japan</td>\n",
       "      <td>$56 B</td>\n",
       "      <td>$5.2 B</td>\n",
       "      <td>$3,406.5 B</td>\n",
       "      <td>$69.7 B</td>\n",
       "      <td>56000.0</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>3406500.0</td>\n",
       "      <td>69700.0</td>\n",
       "      <td>True</td>\n",
       "      <td>9.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>BNP Paribas</td>\n",
       "      <td>France</td>\n",
       "      <td>$102.7 B</td>\n",
       "      <td>$7.6 B</td>\n",
       "      <td>$3,044.8 B</td>\n",
       "      <td>$79.1 B</td>\n",
       "      <td>102700.0</td>\n",
       "      <td>7600.0</td>\n",
       "      <td>3044800.0</td>\n",
       "      <td>79100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>7.400195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>HSBC Holdings</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>$60.6 B</td>\n",
       "      <td>$4 B</td>\n",
       "      <td>$2,984.2 B</td>\n",
       "      <td>$120.3 B</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>2984200.0</td>\n",
       "      <td>120300.0</td>\n",
       "      <td>True</td>\n",
       "      <td>6.600660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>87</td>\n",
       "      <td>Japan Post Holdings</td>\n",
       "      <td>Japan</td>\n",
       "      <td>$106.6 B</td>\n",
       "      <td>$4.2 B</td>\n",
       "      <td>$2,879 B</td>\n",
       "      <td>$34.8 B</td>\n",
       "      <td>106600.0</td>\n",
       "      <td>4200.0</td>\n",
       "      <td>2879000.0</td>\n",
       "      <td>34800.0</td>\n",
       "      <td>True</td>\n",
       "      <td>3.939962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Bank of America</td>\n",
       "      <td>United States</td>\n",
       "      <td>$98.8 B</td>\n",
       "      <td>$17.9 B</td>\n",
       "      <td>$2,832.2 B</td>\n",
       "      <td>$336.3 B</td>\n",
       "      <td>98800.0</td>\n",
       "      <td>17900.0</td>\n",
       "      <td>2832200.0</td>\n",
       "      <td>336300.0</td>\n",
       "      <td>True</td>\n",
       "      <td>18.117409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>318</td>\n",
       "      <td>Freddie Mac</td>\n",
       "      <td>United States</td>\n",
       "      <td>$68.7 B</td>\n",
       "      <td>$7.3 B</td>\n",
       "      <td>$2,627.4 B</td>\n",
       "      <td>$1.5 B</td>\n",
       "      <td>68700.0</td>\n",
       "      <td>7300.0</td>\n",
       "      <td>2627400.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>True</td>\n",
       "      <td>10.625910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>117</td>\n",
       "      <td>Credit Agricole</td>\n",
       "      <td>France</td>\n",
       "      <td>$43.5 B</td>\n",
       "      <td>$2.6 B</td>\n",
       "      <td>$2,399.5 B</td>\n",
       "      <td>$41 B</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>2399500.0</td>\n",
       "      <td>41000.0</td>\n",
       "      <td>True</td>\n",
       "      <td>5.977011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Citigroup</td>\n",
       "      <td>United States</td>\n",
       "      <td>$84.4 B</td>\n",
       "      <td>$17.1 B</td>\n",
       "      <td>$2,314.3 B</td>\n",
       "      <td>$151.2 B</td>\n",
       "      <td>84400.0</td>\n",
       "      <td>17100.0</td>\n",
       "      <td>2314300.0</td>\n",
       "      <td>151200.0</td>\n",
       "      <td>True</td>\n",
       "      <td>20.260664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>85</td>\n",
       "      <td>Sumitomo Mitsui Financial</td>\n",
       "      <td>Japan</td>\n",
       "      <td>$38.6 B</td>\n",
       "      <td>$4.9 B</td>\n",
       "      <td>$2,256.8 B</td>\n",
       "      <td>$48.9 B</td>\n",
       "      <td>38600.0</td>\n",
       "      <td>4900.0</td>\n",
       "      <td>2256800.0</td>\n",
       "      <td>48900.0</td>\n",
       "      <td>True</td>\n",
       "      <td>12.694301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>129</td>\n",
       "      <td>Mizuho Financial</td>\n",
       "      <td>Japan</td>\n",
       "      <td>$30.3 B</td>\n",
       "      <td>$3.7 B</td>\n",
       "      <td>$2,110.5 B</td>\n",
       "      <td>$36.3 B</td>\n",
       "      <td>30300.0</td>\n",
       "      <td>3700.0</td>\n",
       "      <td>2110500.0</td>\n",
       "      <td>36300.0</td>\n",
       "      <td>True</td>\n",
       "      <td>12.211221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Wells Fargo</td>\n",
       "      <td>United States</td>\n",
       "      <td>$85.9 B</td>\n",
       "      <td>$7.4 B</td>\n",
       "      <td>$1,959.5 B</td>\n",
       "      <td>$181.5 B</td>\n",
       "      <td>85900.0</td>\n",
       "      <td>7400.0</td>\n",
       "      <td>1959500.0</td>\n",
       "      <td>181500.0</td>\n",
       "      <td>True</td>\n",
       "      <td>8.614668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>361</td>\n",
       "      <td>Santander</td>\n",
       "      <td>Spain</td>\n",
       "      <td>$73.6 B</td>\n",
       "      <td>$-10 B</td>\n",
       "      <td>$1,845.4 B</td>\n",
       "      <td>$59.6 B</td>\n",
       "      <td>73600.0</td>\n",
       "      <td>-10000.0</td>\n",
       "      <td>1845400.0</td>\n",
       "      <td>59600.0</td>\n",
       "      <td>False</td>\n",
       "      <td>-13.586957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>143</td>\n",
       "      <td>Barclays</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>$27.9 B</td>\n",
       "      <td>$2 B</td>\n",
       "      <td>$1,844.7 B</td>\n",
       "      <td>$44.9 B</td>\n",
       "      <td>27900.0</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>1844700.0</td>\n",
       "      <td>44900.0</td>\n",
       "      <td>True</td>\n",
       "      <td>7.168459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>526</td>\n",
       "      <td>Société Générale</td>\n",
       "      <td>France</td>\n",
       "      <td>$41.4 B</td>\n",
       "      <td>$-990.6 M</td>\n",
       "      <td>$1,788.8 B</td>\n",
       "      <td>$20.9 B</td>\n",
       "      <td>41400.0</td>\n",
       "      <td>-990.6</td>\n",
       "      <td>1788800.0</td>\n",
       "      <td>20900.0</td>\n",
       "      <td>False</td>\n",
       "      <td>-2.392754</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank                        Name         Country     Sales     Profit  \\\n",
       "0       1                        ICBC           China  $190.5 B    $45.8 B   \n",
       "3       4     China Construction Bank           China  $173.5 B    $39.3 B   \n",
       "8       9  Agricultural Bank of China           China  $153.9 B    $31.3 B   \n",
       "297   298                  Fannie Mae   United States  $109.6 B    $11.8 B   \n",
       "13     14               Bank of China           China    $134 B    $27.9 B   \n",
       "1       2              JPMorgan Chase   United States  $136.2 B    $40.4 B   \n",
       "51     52    Mitsubishi UFJ Financial           Japan     $56 B     $5.2 B   \n",
       "29     30                 BNP Paribas          France  $102.7 B     $7.6 B   \n",
       "39     40               HSBC Holdings  United Kingdom   $60.6 B       $4 B   \n",
       "86     87         Japan Post Holdings           Japan  $106.6 B     $4.2 B   \n",
       "6       6             Bank of America   United States   $98.8 B    $17.9 B   \n",
       "317   318                 Freddie Mac   United States   $68.7 B     $7.3 B   \n",
       "116   117             Credit Agricole          France   $43.5 B     $2.6 B   \n",
       "15     16                   Citigroup   United States   $84.4 B    $17.1 B   \n",
       "84     85   Sumitomo Mitsui Financial           Japan   $38.6 B     $4.9 B   \n",
       "128   129            Mizuho Financial           Japan   $30.3 B     $3.7 B   \n",
       "18     19                 Wells Fargo   United States   $85.9 B     $7.4 B   \n",
       "360   361                   Santander           Spain   $73.6 B     $-10 B   \n",
       "142   143                    Barclays  United Kingdom   $27.9 B       $2 B   \n",
       "525   526            Société Générale          France   $41.4 B  $-990.6 M   \n",
       "\n",
       "         Assets Market Value  Sales (in millions)  Profit (in millions)  \\\n",
       "0    $4,914.7 B     $249.5 B             190500.0               45800.0   \n",
       "3    $4,301.7 B     $210.4 B             173500.0               39300.0   \n",
       "8    $4,159.9 B     $140.1 B             153900.0               31300.0   \n",
       "297  $3,986.1 B       $2.8 B             109600.0               11800.0   \n",
       "13   $3,731.4 B     $116.7 B             134000.0               27900.0   \n",
       "1    $3,689.3 B     $464.8 B             136200.0               40400.0   \n",
       "51   $3,406.5 B      $69.7 B              56000.0                5200.0   \n",
       "29   $3,044.8 B      $79.1 B             102700.0                7600.0   \n",
       "39   $2,984.2 B     $120.3 B              60600.0                4000.0   \n",
       "86     $2,879 B      $34.8 B             106600.0                4200.0   \n",
       "6    $2,832.2 B     $336.3 B              98800.0               17900.0   \n",
       "317  $2,627.4 B       $1.5 B              68700.0                7300.0   \n",
       "116  $2,399.5 B        $41 B              43500.0                2600.0   \n",
       "15   $2,314.3 B     $151.2 B              84400.0               17100.0   \n",
       "84   $2,256.8 B      $48.9 B              38600.0                4900.0   \n",
       "128  $2,110.5 B      $36.3 B              30300.0                3700.0   \n",
       "18   $1,959.5 B     $181.5 B              85900.0                7400.0   \n",
       "360  $1,845.4 B      $59.6 B              73600.0              -10000.0   \n",
       "142  $1,844.7 B      $44.9 B              27900.0                2000.0   \n",
       "525  $1,788.8 B      $20.9 B              41400.0                -990.6   \n",
       "\n",
       "     Assets (in millions)  Market Value (in millions)  In profit  \\\n",
       "0               4914700.0                    249500.0       True   \n",
       "3               4301700.0                    210400.0       True   \n",
       "8               4159900.0                    140100.0       True   \n",
       "297             3986100.0                      2800.0       True   \n",
       "13              3731400.0                    116700.0       True   \n",
       "1               3689300.0                    464800.0       True   \n",
       "51              3406500.0                     69700.0       True   \n",
       "29              3044800.0                     79100.0       True   \n",
       "39              2984200.0                    120300.0       True   \n",
       "86              2879000.0                     34800.0       True   \n",
       "6               2832200.0                    336300.0       True   \n",
       "317             2627400.0                      1500.0       True   \n",
       "116             2399500.0                     41000.0       True   \n",
       "15              2314300.0                    151200.0       True   \n",
       "84              2256800.0                     48900.0       True   \n",
       "128             2110500.0                     36300.0       True   \n",
       "18              1959500.0                    181500.0       True   \n",
       "360             1845400.0                     59600.0      False   \n",
       "142             1844700.0                     44900.0       True   \n",
       "525             1788800.0                     20900.0      False   \n",
       "\n",
       "     Profit to Sales ratio  \n",
       "0                24.041995  \n",
       "3                22.651297  \n",
       "8                20.337882  \n",
       "297              10.766423  \n",
       "13               20.820896  \n",
       "1                29.662261  \n",
       "51                9.285714  \n",
       "29                7.400195  \n",
       "39                6.600660  \n",
       "86                3.939962  \n",
       "6                18.117409  \n",
       "317              10.625910  \n",
       "116               5.977011  \n",
       "15               20.260664  \n",
       "84               12.694301  \n",
       "128              12.211221  \n",
       "18                8.614668  \n",
       "360             -13.586957  \n",
       "142               7.168459  \n",
       "525              -2.392754  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_top_assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "02bb9e83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "# make bar plot with matplotlib\n",
    "plt.bar('Name', 'Assets (in millions)',data=df_top_assets)\n",
    "plt.xlabel(\"Company Name\", size=15)\n",
    "plt.ylabel(\"Assets (in thousands of Billions)\", size=15)\n",
    "plt.title(\"Top 20 Companies in terms of Assets\", size=18)\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}