AIM-PIbd-31-Potapov-N-S/lab_1/lab1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"static\\\\swagger.png\" style=\"height: 400px;\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Импортируем библиотеку `pandas` и загружаем датасет (разделителем указываем точку с запятой)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"csv\\\\dataset25.csv\", sep=\";\")\n",
    "\n",
    "df[\"Valuation ($B) \"] = pd.to_numeric(df[\"Valuation ($B) \"].str.slice(0, -4).str.replace(\",\", \".\"))\n",
    "df[\"Total Funding\"] = pd.to_numeric(df[\"Total Funding\"].str.slice(1, -2).str.replace(\",\", \"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим краткое содержание датасета. Видим, что датасет состоит из 100 строк и 10 столбцов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 100 entries, 0 to 99\n",
      "Data columns (total 10 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Company              100 non-null    object \n",
      " 1   Valuation ($B)       100 non-null    float64\n",
      " 2   Country              100 non-null    object \n",
      " 3   State                79 non-null     object \n",
      " 4   City                 99 non-null     object \n",
      " 5   Industries           99 non-null     object \n",
      " 6   Founded Year         100 non-null    int64  \n",
      " 7   Name of Founders     100 non-null    object \n",
      " 8   Total Funding        100 non-null    float64\n",
      " 9   Number of Employees  100 non-null    object \n",
      "dtypes: float64(2), int64(1), object(7)\n",
      "memory usage: 7.9+ KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Company</th>\n",
       "      <th>Valuation ($B)</th>\n",
       "      <th>Country</th>\n",
       "      <th>State</th>\n",
       "      <th>City</th>\n",
       "      <th>Industries</th>\n",
       "      <th>Founded Year</th>\n",
       "      <th>Name of Founders</th>\n",
       "      <th>Total Funding</th>\n",
       "      <th>Number of Employees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bytedance</td>\n",
       "      <td>140.0</td>\n",
       "      <td>China</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>Content, Data Mining, Internet</td>\n",
       "      <td>2012</td>\n",
       "      <td>Yiming Zhang</td>\n",
       "      <td>7440.0</td>\n",
       "      <td>10.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SpaceX</td>\n",
       "      <td>100.3</td>\n",
       "      <td>United States</td>\n",
       "      <td>California</td>\n",
       "      <td>Hawthorne</td>\n",
       "      <td>Aerospace, Manufacturing, Space Travel, Transp...</td>\n",
       "      <td>2002</td>\n",
       "      <td>Elon Musk</td>\n",
       "      <td>383.0</td>\n",
       "      <td>5,000-10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Stripe</td>\n",
       "      <td>95.0</td>\n",
       "      <td>United States</td>\n",
       "      <td>California</td>\n",
       "      <td>San Francisco</td>\n",
       "      <td>Finance, FinTech, Mobile Payments, SaaS</td>\n",
       "      <td>2010</td>\n",
       "      <td>John Collison, Patrick Collison</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1,000-5,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Klarna</td>\n",
       "      <td>45.6</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>E-Commerce, FinTech, Payments, Shopping</td>\n",
       "      <td>2005</td>\n",
       "      <td>Niklas Adalberth, Sebastian Siemiatkowski, Vic...</td>\n",
       "      <td>3471.7</td>\n",
       "      <td>5,000-10,000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Epic Games</td>\n",
       "      <td>42.0</td>\n",
       "      <td>United States</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>Cary</td>\n",
       "      <td>Developer Platform, Gaming, Software, Video Games</td>\n",
       "      <td>1991</td>\n",
       "      <td>Mark Rein, Tim Sweeney</td>\n",
       "      <td>544.9</td>\n",
       "      <td>1,000-5,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Company  Valuation ($B)         Country           State           City  \\\n",
       "0   Bytedance            140.0          China         Beijing        Beijing   \n",
       "1      SpaceX            100.3  United States      California      Hawthorne   \n",
       "2      Stripe             95.0  United States      California  San Francisco   \n",
       "3      Klarna             45.6         Sweden             NaN      Stockholm   \n",
       "4  Epic Games             42.0  United States  North Carolina           Cary   \n",
       "\n",
       "                                          Industries  Founded Year  \\\n",
       "0                     Content, Data Mining, Internet          2012   \n",
       "1  Aerospace, Manufacturing, Space Travel, Transp...          2002   \n",
       "2            Finance, FinTech, Mobile Payments, SaaS          2010   \n",
       "3            E-Commerce, FinTech, Payments, Shopping          2005   \n",
       "4  Developer Platform, Gaming, Software, Video Games          1991   \n",
       "\n",
       "                                    Name of Founders  Total Funding  \\\n",
       "0                                       Yiming Zhang         7440.0   \n",
       "1                                          Elon Musk          383.0   \n",
       "2                    John Collison, Patrick Collison          300.0   \n",
       "3  Niklas Adalberth, Sebastian Siemiatkowski, Vic...         3471.7   \n",
       "4                             Mark Rein, Tim Sweeney          544.9   \n",
       "\n",
       "  Number of Employees  \n",
       "0              10.000  \n",
       "1        5,000-10,000  \n",
       "2         1,000-5,000  \n",
       "3        5,000-10,000  \n",
       "4         1,000-5,000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.info()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Выведем названия столбцов для удобства"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Company', 'Valuation ($B) ', 'Country', 'State', 'City', 'Industries',\n",
       "       'Founded Year', 'Name of Founders', 'Total Funding',\n",
       "       'Number of Employees'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Круговая диаграмма показывает распределение компаний по странам"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='count'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Country\"].value_counts().plot.pie()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Стоимость 10 самых дорогих компаний"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'Bytedance'),\n",
       " Text(1, 0, 'SpaceX'),\n",
       " Text(2, 0, 'Stripe'),\n",
       " Text(3, 0, 'Klarna'),\n",
       " Text(4, 0, 'Epic Games'),\n",
       " Text(5, 0, 'Canva'),\n",
       " Text(6, 0, 'Checkout.com'),\n",
       " Text(7, 0, 'Instacart'),\n",
       " Text(8, 0, 'Databricks'),\n",
       " Text(9, 0, 'Revolut'),\n",
       " Text(10, 0, 'FTX')]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1xeXLl3HgwAH8/vvvOHr0KIYNG/b2XwURERGVKCohhHjrT1apEBgYiK5du+Z6TGhoKD788ENERUXB2dkZERERqF69OkJDQ+Hl5QUA2LdvHzp06IB79+7B0dExz383OTkZVlZWSEpKgqWlZT5y5vtLKrC3/+4RERG9Xwry/l3kY1CSkpKgUqlgbW0NADh58iSsra3V5QQAvL29oaenh9OnTxd1HCIiItIBBkX55GlpaZg8eTL69OmjbkqxsbEoV66cZggDA5QuXRqxsbE5Pk96ejrS09PVHycnJxddaCIiIlJckZ1ByczMRM+ePSGEwOrVq9/pufz8/GBlZaV+ODk5FVJKIiIiklGRFJSX5SQqKgoHDhzQuM5kb2+P+Ph4jeOfP3+OhIQE2Nvb5/h8U6dORVJSkvoRHR1dFLGJiIhIEoV+iedlOblx4waCg4NRpkwZjf2NGjVCYmIizp49i/r16wMADh06hOzsbDRo0CDH5zQyMoKRkVFhRyUiIiJJFbigpKSk4ObNm+qPIyMjcf78eZQuXRoODg7o0aMHwsLC8PvvvyMrK0s9rqR06dIwNDREtWrV0K5dOwwdOhT+/v7IzMzEyJEj0bt373zdwUNEREQlX4FvMz58+DBatmyptb1///6YNWsW3Nzccvy84OBgtGjRAsCLidpGjhyJPXv2QE9PD927d8fy5cthbm6erwy8zZiIiEj3FOT9+53mQVEKCwoREZHukWoeFCIiIqKCYkEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpFPggnL06FH4+PjA0dERKpUKu3bt0tgvhMCMGTPg4OAAExMTeHt748aNGxrHJCQkwNfXF5aWlrC2tsbgwYORkpLyTl8IERERlRwFLiipqamoXbs2Vq1aleP+RYsWYfny5fD398fp06dhZmaGtm3bIi0tTX2Mr68vLl++jAMHDuD333/H0aNHMWzYsLf/KoiIiKhEUQkhxFt/skqFwMBAdO3aFcCLsyeOjo4YP348JkyYAABISkqCnZ0dAgIC0Lt3b0RERKB69eoIDQ2Fl5cXAGDfvn3o0KED7t27B0dHxzz/3eTkZFhZWSEpKQmWlpb5yPm2X2He3v67R0RE9H4pyPt3oY5BiYyMRGxsLLy9vdXbrKys0KBBA5w8eRIAcPLkSVhbW6vLCQB4e3tDT08Pp0+fzvF509PTkZycrPEo6VSqonsQERHJrlALSmxsLADAzs5OY7udnZ16X2xsLMqVK6ex38DAAKVLl1Yf8zo/Pz9YWVmpH05OToUZm4iIiCSjE3fxTJ06FUlJSepHdHS00pGIiIioCBVqQbG3twcAxMXFaWyPi4tT77O3t0d8fLzG/ufPnyMhIUF9zOuMjIxgaWmp8SAiIqKSq1ALipubG+zt7REUFKTelpycjNOnT6NRo0YAgEaNGiExMRFnz55VH3Po0CFkZ2ejQYMGhRmHiIiIdJRBQT8hJSUFN2/eVH8cGRmJ8+fPo3Tp0nB2dsbYsWMxb948eHh4wM3NDdOnT4ejo6P6Tp9q1aqhXbt2GDp0KPz9/ZGZmYmRI0eid+/e+bqDh4iIiEq+AheUM2fOoGXLluqPx40bBwDo378/AgICMGnSJKSmpmLYsGFITExE06ZNsW/fPhgbG6s/56effsLIkSPRunVr6OnpoXv37li+fHkhfDlERERUErzTPChKeR/mQdHFzERERG+i2DwoRERERIWBBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0CnybMdGbFNXdR7zziIjo/cIzKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQknUIvKFlZWZg+fTrc3NxgYmKCihUrYu7cuRBCqI8RQmDGjBlwcHCAiYkJvL29cePGjcKOQkRERDqq0AvK119/jdWrV2PlypWIiIjA119/jUWLFmHFihXqYxYtWoTly5fD398fp0+fhpmZGdq2bYu0tLTCjkNEREQ6SCVePbVRCDp16gQ7OzusX79eva179+4wMTHBjz/+CCEEHB0dMX78eEyYMAEAkJSUBDs7OwQEBKB37955/hvJycmwsrJCUlISLC0t8zxepXr7rycvhfvd+x9dzAwUXe6izExERMWjIO/fhX4GpXHjxggKCsL169cBABcuXMDx48fRvn17AEBkZCRiY2Ph7e2t/hwrKys0aNAAJ0+ezPE509PTkZycrPEgIiKiksugsJ9wypQpSE5ORtWqVaGvr4+srCzMnz8fvr6+AIDY2FgAgJ2dncbn2dnZqfe9zs/PD7Nnzy7sqERERCSpQj+D8ssvv+Cnn37Cli1bEBYWhk2bNuGbb77Bpk2b3vo5p06diqSkJPUjOjq6EBMTERGRbAr9DMrEiRMxZcoU9VgST09PREVFwc/PD/3794e9vT0AIC4uDg4ODurPi4uLQ506dXJ8TiMjIxgZGRV2VCIiIpJUoZ9Befr0KfT0NJ9WX18f2dnZAAA3NzfY29sjKChIvT85ORmnT59Go0aNCjsOERER6aBCP4Pi4+OD+fPnw9nZGTVq1MC5c+ewZMkSDBo0CACgUqkwduxYzJs3Dx4eHnBzc8P06dPh6OiIrl27FnYcIiIi0kGFXlBWrFiB6dOn44svvkB8fDwcHR3x2WefYcaMGepjJk2ahNTUVAwbNgyJiYlo2rQp9u3bB2Nj48KOQ0RERDqo0OdBKQ6cB+XdcB4UIiJSgqLzoBARERG9KxYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdIqkoNy/fx99+/ZFmTJlYGJiAk9PT5w5c0a9XwiBGTNmwMHBASYmJvD29saNGzeKIgoRERHpoEIvKP/88w+aNGmCUqVK4c8//8SVK1ewePFi2NjYqI9ZtGgRli9fDn9/f5w+fRpmZmZo27Yt0tLSCjsOERER6SCVEEIU5hNOmTIFISEhOHbsWI77hRBwdHTE+PHjMWHCBABAUlIS7OzsEBAQgN69e+f5byQnJ8PKygpJSUmwtLTM83iVqmBfQ0EU7nfvf3QxM1B0uYsyMxERFY+CvH8X+hmU3bt3w8vLC//+979Rrlw51K1bF2vXrlXvj4yMRGxsLLy9vdXbrKys0KBBA5w8eTLH50xPT0dycrLGg4iIiEquQi8ot2/fxurVq+Hh4YH9+/dj+PDhGD16NDZt2gQAiI2NBQDY2dlpfJ6dnZ163+v8/PxgZWWlfjg5ORV2bCIiIpJIoReU7Oxs1KtXDwsWLEDdunUxbNgwDB06FP7+/m/9nFOnTkVSUpL6ER0dXYiJiYiISDaFXlAcHBxQvXp1jW3VqlXD3bt3AQD29vYAgLi4OI1j4uLi1PteZ2RkBEtLS40HERERlVyFXlCaNGmCa9euaWy7fv06XFxcAABubm6wt7dHUFCQen9ycjJOnz6NRo0aFXYcIiIi0kEGhf2EX375JRo3bowFCxagZ8+e+Pvvv/H999/j+++/BwCoVCqMHTsW8+bNg4eHB9zc3DB9+nQ4Ojqia9euhR2HiIiIdFChF5QPPvgAgYGBmDp1KubMmQM3Nzd8++238PX1VR8zadIkpKamYtiwYUhMTETTpk2xb98+GBsbF3YcIiIi0kGFPg9KceA8KO+G86AQEZESFJ0HhYiIiOhdsaAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERScdA6QBESlOpiuZ5hSia5yUieh/wDAoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDidqI9JBnFyOiEq6Ij+DsnDhQqhUKowdO1a9LS0tDSNGjECZMmVgbm6O7t27Iy4urqijEBERkY4o0oISGhqKNWvWoFatWhrbv/zyS+zZswfbt2/HkSNH8ODBA3Tr1q0ooxAREZEOKbKCkpKSAl9fX6xduxY2Njbq7UlJSVi/fj2WLFmCVq1aoX79+ti4cSNOnDiBU6dOFVUcIiIi0iFFVlBGjBiBjh07wtvbW2P72bNnkZmZqbG9atWqcHZ2xsmTJ3N8rvT0dCQnJ2s8iIiIqOQqkkGy27ZtQ1hYGEJDQ7X2xcbGwtDQENbW1hrb7ezsEBsbm+Pz+fn5Yfbs2UURlYiKiS4O7NXFzEQlRaGfQYmOjsaYMWPw008/wdjYuFCec+rUqUhKSlI/oqOjC+V5iYiISE6Ffgbl7NmziI+PR7169dTbsrKycPToUaxcuRL79+9HRkYGEhMTNc6ixMXFwd7ePsfnNDIygpGRUWFHJSIqcYrqrA/AMz9UvAq9oLRu3RoXL17U2DZw4EBUrVoVkydPhpOTE0qVKoWgoCB0794dAHDt2jXcvXsXjRo1Kuw4REREpIMKvaBYWFigZs2aGtvMzMxQpkwZ9fbBgwdj3LhxKF26NCwtLTFq1Cg0atQIDRs2LOw4REREpIMUmUl26dKl0NPTQ/fu3ZGeno62bdviu+++UyIKEREpjJelKCcqIXTvf19ycjKsrKyQlJQES0vLPI/XxR9+XcwM6OZdD8z8P8ysiZk18fWO3lVB3r+5WCARERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKSjyFo8REREuozT8xc9nkEhIiIi6bCgEBERkXR4iYeIiOg9oGuXpXgGhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKRT6AXFz88PH3zwASwsLFCuXDl07doV165d0zgmLS0NI0aMQJkyZWBubo7u3bsjLi6usKMQERGRjir0gnLkyBGMGDECp06dwoEDB5CZmYk2bdogNTVVfcyXX36JPXv2YPv27Thy5AgePHiAbt26FXYUIiIi0lEqIYQoyn/g4cOHKFeuHI4cOYJmzZohKSkJtra22LJlC3r06AEAuHr1KqpVq4aTJ0+iYcOGeT5ncnIyrKyskJSUBEtLyzyPV6ne+cvIVVF993QxM1B0uZlZEzP/DzNr0sXXDmbWVJIzF+T9u8jHoCQlJQEASpcuDQA4e/YsMjMz4e3trT6matWqcHZ2xsmTJ3N8jvT0dCQnJ2s8iIiIqOQq0oKSnZ2NsWPHokmTJqhZsyYAIDY2FoaGhrC2ttY41s7ODrGxsTk+j5+fH6ysrNQPJyenooxNRERECivSgjJixAhcunQJ27Zte6fnmTp1KpKSktSP6OjoQkpIREREMjIoqiceOXIkfv/9dxw9ehQVKlRQb7e3t0dGRgYSExM1zqLExcXB3t4+x+cyMjKCkZFRUUUlIiIiyRT6GRQhBEaOHInAwEAcOnQIbm5uGvvr16+PUqVKISgoSL3t2rVruHv3Lho1alTYcYiIiEgHFfoZlBEjRmDLli347bffYGFhoR5XYmVlBRMTE1hZWWHw4MEYN24cSpcuDUtLS4waNQqNGjXK1x08REREVPIVekFZvXo1AKBFixYa2zdu3IgBAwYAAJYuXQo9PT10794d6enpaNu2Lb777rvCjkJEREQ6qsjnQSkKnAfl3ejiHAzMrImZ/4eZNeniawczayrJmaWaB4WIiIiooFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBAREZF0WFCIiIhIOiwoREREJB0WFCIiIpIOCwoRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSDgsKERERSYcFhYiIiKTDgkJERETSYUEhIiIi6bCgEBERkXRYUIiIiEg6LChEREQkHRYUIiIikg4LChEREUmHBYWIiIikw4JCRERE0lG0oKxatQqurq4wNjZGgwYN8PfffysZh4iIiCShWEH5+eefMW7cOMycORNhYWGoXbs22rZti/j4eKUiERERkSQUKyhLlizB0KFDMXDgQFSvXh3+/v4wNTXFhg0blIpEREREkjBQ4h/NyMjA2bNnMXXqVPU2PT09eHt74+TJk1rHp6enIz09Xf1xUlISACA5Obnow+ZBgggFxszFg5mLBzMXH13MzczFI7+ZX75vCyHyPFaRgvLo0SNkZWXBzs5OY7udnR2uXr2qdbyfnx9mz56ttd3JyanIMuaXlZXSCQqOmYsHMxcPZi4+upibmYtHQTM/efIEVnl8kiIFpaCmTp2KcePGqT/Ozs5GQkICypQpA5VKVaj/VnJyMpycnBAdHQ1LS8tCfe6iwszFg5mLBzMXD2YuHrqYGSi63EIIPHnyBI6Ojnkeq0hBKVu2LPT19REXF6exPS4uDvb29lrHGxkZwcjISGObtbV1UUaEpaWlTv0wAcxcXJi5eDBz8WDm4qGLmYGiyZ3XmZOXFBkka2hoiPr16yMoKEi9LTs7G0FBQWjUqJESkYiIiEgiil3iGTduHPr37w8vLy98+OGH+Pbbb5GamoqBAwcqFYmIiIgkoVhB6dWrFx4+fIgZM2YgNjYWderUwb59+7QGzhY3IyMjzJw5U+uSksyYuXgwc/Fg5uLBzMVDFzMDcuRWifzc60NERERUjLgWDxEREUmHBYWIiIikw4JCRERE0mFBISIiIumwoBCVYMnJydi1axciIiKUjkJEVCAsKDomLS0tz2Nu3LhRDElIRj179sTKlSsBAM+ePYOXlxd69uyJWrVqYceOHQqnIyLKP51Yi4f+p06dOti0aRMaNGiQ4/4lS5Zg+vTpSE1NLeZk+ZOYmIhff/0Vt27dwsSJE1G6dGmEhYXBzs4O5cuXVzqezjt69CimTZsGAAgMDIQQAomJidi0aRPmzZuH7t27K5wwd2fOnMEvv/yCu3fvIiMjQ2Pfzp07FUqVu7S0NKxYsQLBwcGIj49Hdna2xv6wsDCFkr3Z3bt34eTkpLWOmRAC0dHRcHZ2VihZ/mVlZeHixYtwcXGBjY2N0nHeCwkJCShdunSx/ps8g/L/EhMTsW7dOkydOhUJCQkAXrzA3L9/X+Fkmv71r3/ho48+wtSpU5GZmanefuPGDTRp0gR+fn5Yt26dgglzFx4ejsqVK+Prr7/GN998g8TERAAv3nymTp2qbLh8SEtLQ3JyssZDNklJSeoXkX379qF79+4wNTVFx44dpT6ztm3bNjRu3BgREREIDAxEZmYmLl++jEOHDuV73Y7iNnjwYCxatAguLi7o1KkTunTpovGQlZubGx4+fKi1PSEhAW5ubgokytvYsWOxfv16AC/KSfPmzVGvXj04OTnh8OHDyobLhb6+PuLj47W2P378GPr6+gokyl2LFi1w586dXPfv3LkTNWrUKL5ALwkSFy5cELa2tqJSpUrCwMBA3Lp1SwghxLRp00S/fv0UTqft4MGDwsXFRdSsWVOEhoaKJUuWCBMTE9G5c2cRExOjdLxctW7dWkycOFEIIYS5ubn6+xwSEiJcXFwUTJa71NRUMWLECGFrayv09PS0HrLx8PAQP//8s0hJSRG2trYiKChICCHE+fPnRZkyZRROlztPT0+xcuVKIcT/fjays7PF0KFDxYwZMxROlzNLS0tx/PhxpWMUmEqlEvHx8Vrb79y5I0xNTRVIlLfy5cuL0NBQIYQQgYGBwtHRUVy7dk189dVXonHjxgqny5lKpRJxcXFa2+/fvy+MjY0VSJS7Tp06CQsLC+Hv76+x/fHjx6JXr17C2NhYLFiwoNhz8RIPXqwLNGDAACxatAgWFhbq7R06dMAnn3yiYLKctW7dGhcvXkTfvn3RoEEDmJqaYs2aNejXr5/S0d4oNDQUa9as0dpevnx5xMbGKpAobxMnTkRwcDBWr16Nfv36YdWqVbh//z7WrFmDhQsXKh1Py9ixY+Hr6wtzc3M4OzujRYsWAF5c+vH09FQ23BvcunULHTt2BPBiMdHU1FSoVCp8+eWXaNWqFWbPnq1wQm3ly5fXeL2Q3bhx4wAAKpUK06dPh6mpqXpfVlYWTp8+jTp16iiU7s0ePXqkXul+7969+Pe//43KlStj0KBBWLZsmcLpNC1fvhzAi+/zunXrYG5urt6XlZWFo0ePomrVqkrFy9GePXuwYcMGjBs3DoGBgVi3bh1CQ0MxfPhwVKhQAaGhoahZs2ax52JBgW6+cW7duhXBwcFo0KABwsLCcPToUXz88ccavwyyMTIyyvGyyPXr12Fra6tAorzt2bMHmzdvRosWLTBw4EB89NFHqFSpElxcXPDTTz/B19dX6YgavvjiC3z44YeIjo7Gv/71L+jpvbiK6+7ujnnz5imcLnc2NjZ48uQJgBe/d5cuXYKnpycSExPx9OlThdPlbPHixZg8eTL8/f3h4uKidJw8nTt3DsCLsSYXL16EoaGhep+hoSFq166NCRMmKBXvjezs7HDlyhU4ODhg3759WL16NQDg6dOn0l0uWbp0KYAX32d/f3+NfIaGhnB1dYW/v79S8XI1aNAgeHt749NPP0XlypWRnZ2NadOm4T//+Y9y3+NiP2cjIVtbWxEWFiaE0Lz08Ndff4kKFSooGU3LvXv3RJs2bYS1tbXYuHGjEOLF6fvatWsLZ2dncfDgQWUDvsHgwYNF165dRUZGhjA3Nxe3b98WUVFRom7dumLMmDFKx8uRmZmZiIqKEkK8OM18+vRpIYQQt2/fFmZmZkpGe6P09HRx9epVkZmZqXSUfOnTp49YvHixEEKIOXPmCFtbWzFkyBDh4uIiPv74Y4XT5Sw+Pl60aNFC6OnpCXNzc2FjY6PxkNWAAQNEcnKy0jEKZObMmcLKykpUrVpVODs7i7S0NCGEEOvXrxcNGzZUOF3OWrRoIRISEpSOUSD79+8XFSpUEM7OzsLQ0FDMmzdPZGVlKZaHBUXo1huntbW1aNu2rYiOjtbYnpGRIaZNmyZKlSolPv/8c4XSvVliYqLw9vYW1tbWQl9fXzg5OYlSpUqJZs2aiZSUFKXj5cjT01McPnxYCPFiDM348eOFEEIsW7ZMlC9fXsloOUpNTRWDBg0S+vr6Ql9fX122R44cKfz8/BROl7vHjx+L+/fvCyGEyMrKEn5+fsLHx0eMGzdO2hf51q1bCw8PD7Fw4UKxceNGERAQoPGQUUZGhtDX1xcXL15UOkqBbd++XSxZskTjtS8gIEDs2rVLwVQlQ0pKihg6dKgwNDQUs2bNEpmZmeKPP/4Q5cuXF15eXuLKlSuK5OJqxnhx50OPHj1w5swZPHnyBI6OjoiNjUWjRo2wd+9emJmZKR1Rzd/fH59//nmu+0NDQzFgwABcvny5GFMVzPHjxxEeHo6UlBTUq1cP3t7eSkfK1dKlS6Gvr4/Ro0fj4MGD8PHxgRACmZmZWLJkCcaMGaN0RA1jxoxBSEgIvv32W7Rr1w7h4eFwd3fHb7/9hlmzZqlP89O7MzU1xcmTJ1G7dm2loxSIu7s7AgMDdSr3vXv3UKFChRz3nTp1Cg0bNizmRHkbNGjQG/dv2LChmJLkzc3NDRYWFggICEC9evXU2xMTEzFy5Ejs2LEDs2bNwuTJk4s1FwvKK0JCQnDhwgWdeON8k4yMDI3ry1R4oqKicPbsWVSqVAm1atVSOo4WFxcX/Pzzz2jYsCEsLCxw4cIFuLu74+bNm6hXr56Ut0YDgLe3N/r27Ytu3brB0tJS6Tj5Uq9ePXz33XdSvjm+yfr167Fz50788MMPxT6vxduqXr06jh8/rpU3JCQEHTt2VE9ZIJOPP/5Y4+PMzExcunQJiYmJaNWqlVRz+0yZMgVz5szJ9X0jMDAQw4cPL/4xmYqct6FCcfPmTTFt2jTRu3dv9e1se/fuFZcuXVI4We4OHjwoOnbsKNzd3YW7u7vo2LGjOHDggNKxSgwTExP1ZZ1Xx1OdP39eWFpaKhntjUaPHi3s7e2FiYmJ6NGjh9i1a5fIyMhQOtYb7d+/XzRu3FgEBweLR48eiaSkJI2HrOrUqSPMzc2FkZGRqFy5sqhbt67GQ0YDBw4U9evX1xg7c+TIEWFhYSGWLFmiYLKCycrKEsOGDRNff/210lE0HDlyJM/xao8ePSqmNP/DMygARo8ejUqVKmH06NEa21euXImbN2/i22+/VSbYGxw5cgTt27dHkyZNcPToUURERMDd3R0LFy7EmTNn8OuvvyodUct3332HMWPGoEePHmjUqBGAF6dnf/31VyxduhQjRoxQOGHOgoKCEBQUlONsoTKdpgWAZs2a4d///jdGjRoFCwsLhIeHw83NDaNGjcKNGzewb98+pSPmKjs7GwcPHsSWLVsQGBgIfX199OjRA76+vmjevLnS8bS8vEMqpxlZVSoVsrKylIiVp7xu2Z45c2YxJcm/7Oxs9OjRAwkJCdi/fz9OnDiBzp07Y968edJdZs3LtWvX0KJFC8TExCgdRU1fXx8xMTEoV66c0lE0sKDgxW2Nu3fvRv369TW2h4WFoXPnzrh3755CyXLXqFEj/Pvf/8a4ceM0TuX//fff6Natm5SZK1SogClTpmDkyJEa21etWoUFCxZIN2sv8OLFfM6cOfDy8oKDg4PWm1FgYKBCyXJ2/PhxtG/fHn379kVAQAA+++wzXLlyBSdOnMCRI0e0fsZllZaWhj179mD+/Pm4ePGilG/2R44ceeN+GUuVLsvIyEDHjh3x9OlThIeHw8/PT+u1RBfs3bsX/fv3z3E2X6Xo6ekhNjZWuoLCeVDwYurhnKbTtrS0xKNHjxRIlLeLFy9iy5YtWtvLlSsnbebExES0a9dOa3ubNm2KffBVfvn7+yMgIED6SfBeatq0Kc6fP4+FCxfC09MTf/31F+rVq4eTJ09KPVHbq2JjY7Ft2zb8+OOPCA8Px4cffqh0pByxgBSt8PBwrW2zZs1Cnz590LdvXzRr1kx9jIzjwV5OjPeSEAIxMTH4448/0L9/f4VS5e71P75kwIICoFKlSti3b59WG//zzz/h7u6uUKo3s7a2RkxMjNbaGefOnZN20b3OnTsjMDAQEydO1Nj+22+/oVOnTgqlerOMjAw0btxY6RgFUrFiRaxdu1bpGAWSnJyMHTt2YMuWLTh8+DDc3d3h6+uLn3/+GRUrVlQ6Xq4SExOxfv16REREAABq1KiBQYMGSbt+EPBiNtOlS5fmujDjy7XIlFanTh2oVCq8epL/5cdr1qzB999/L/XltNfvmNPT04OtrS0WL16c5x0+ShgwYACMjIzeeExxD+xlQcGLpjty5Eg8fPgQrVq1AvBi3MHixYulHH8CAL1798bkyZOxfft2qFQqZGdnIyQkBBMmTMCnn36qdLwcVa9eHfPnz8fhw4c1xqCEhIRg/Pjx6imiAWiNB1LKkCFDsGXLFkyfPl3pKAUSHx+f45gZGf/SBF7MFGpjY4NevXrBz88PXl5eSkfK05kzZ9C2bVuYmJioz/IsWbIE8+fPV5+5ktHs2bOxbt06jB8/Hl999RWmTZuGO3fuYNeuXZgxY4bS8dQiIyOVjvBOgoODlY5QIBYWFjAxMVE6hgaOQfl/q1evxvz58/HgwQMAgKurK2bNmiXtm31GRgZGjBiBgIAAZGVlwcDAAFlZWfjkk08QEBAg3fTPAPK9UqpKpcLt27eLOE3+jBkzBps3b0atWrVQq1YtlCpVSmP/kiVLFEqWs7Nnz6J///6IiIjA67/asv6lCQAHDhxA69at1QNPdcHLZQ/Wrl0LA4MXf+s9f/4cQ4YMwe3bt3H06FGFE+asYsWKWL58OTp27AgLCwucP39eve3UqVM5Xjqmkk3WMSgsKK95+PAhTExMpF7T5lXR0dG4ePEiUlJSULduXXh4eCgdqURp2bJlrvtUKhUOHTpUjGnyVrt2bVSsWBGTJ0+GnZ2d1nVlXVgzRleYmJjg3LlzWgu/XblyBV5eXtKuIWRmZoaIiAg4OzvDwcEBf/zxB+rVq4fbt2+jbt26SEpKUjqiFj8/P9jZ2WldGtmwYQMePnwozRi2unXr5nssR1hYWBGnyT9ZCwov8bxG1kXrcuPk5AQnJyelY5RIWVlZmD17Njw9PWFjY6N0nHy5ffs2duzYgUqVKikdpUDi4uIwYcIE9e3cr//dJOOZH0tLS9y9e1eroERHR0u9ynGFChUQExMDZ2dnVKxYUX05KjQ0NM8xCEpZs2ZNjmd2atSoob7cLYOuXbsqHeGtyfg7xoIC3Xxx7N69Oz788EOtX8xFixYhNDQU27dvVyiZpnHjxmHu3LkwMzPTGtX+Otkul+jr66NNmzaIiIjQmYLSunVrXLhwQecKyoABA3D37l1Mnz49x9u5ZdSrVy8MHjwY33zzjXogdUhICCZOnIg+ffoonC53H3/8MYKCgtCgQQOMGjUKffv2xfr163H37l18+eWXSsfLUWxsLBwcHLS229raSjWfiIxzyOTXq+9zvXr1wvLly2FnZ6dgIhYUALr54nj06FHMmjVLa3v79u2xePHi4g+Ui3PnziEzMxPAi1OauX1vZf2e16xZE7dv3873+BmlrVu3Dv3798elS5dQs2ZNrTEznTt3VijZmx0/fhzHjh1DnTp1lI6Sb9988w1UKhU+/fRTPH/+HABQqlQpDB8+HAsXLlQ4Xe5ezdarVy+4uLjgxIkT8PDwgI+Pj4LJcufk5ISQkBCt38OQkBA4OjoqlCp/zp49q3GXV926dRVOlLNXp7nfu3cv/Pz8FEzz/4p97loJmZubi3Pnzikdo0CMjY3F1atXtbZHREQIY2NjBRKVTH/++aeoU6eO2LNnj3jw4IH005nv3r1bWFlZCZVKpfXQ09NTOl6uqlWrJsLCwpSO8VZSU1NFeHi4CA8PF6mpqUrHKZG+/vprUaZMGbFhwwZx584dcefOHbF+/XpRpkwZsWDBAqXj5SguLk60bNlSqFQqYWNjI2xsbIRKpRKtWrUS8fHxSsfToFKp1MulCKG5TIaSWFCEbr44fvDBB2L27Nla22fOnCnq1aunQKI309Vl3l9/g3/5kPUN38XFRYwYMULExsYqHaVA9u/fL9q0aSMiIyOVjpJviYmJ4vHjx1rbHz9+LGV5fWnBggVi/fr1WtvXr18vFi5cqECivGVnZ4tJkyYJY2Nj9e+gqalpjq+BsujZs6fw8vISV65cUW+7fPmy8PLyEr1791YwmTY9PT2N0mRubi5u376tYKIXeBcPgL/++guLFy/GmjVr4OrqqnScfNmzZw+6deuGTz75RGPulq1bt2L79u1SDtbSxWXedW0681dvG9UlNjY2ePr0KZ4/fw5TU1OtS1OyTB72qvbt28PHxwdffPGFxnZ/f3/s3r0be/fuVSjZm7m6umLLli1aExCePn0avXv3lnr+kZSUFERERMDExAQeHh7SDuoFACsrKxw8eBAffPCBxva///4bbdq0kWoFZj09PbRv3179/dyzZw9atWoFMzMzjeOKe6I2FhTo5osjAPzxxx9YsGABzp8/DxMTE9SqVQszZ86U7k3zJV1c5l3X9O/fHx999BGGDBmidJQC2bRp0xv3yzg1eOnSpRESEoJq1appbL969SqaNGmCx48fK5TszYyNjREREaE1nuP27duoXr060tLSFEpWslhYWOQ4rurcuXNo3rw5kpOTlQmWg4EDB+bruI0bNxZxEk0cJAtIO1tsXjp27IiOHTsqHSPfXq4O7ejoCBcXF612LtO8AK97+vRpjtOCyzYza+XKlTF16lQcP34cnp6eWmVblhl6XydjAclLenq6enDsqzIzM/Hs2TMFEuWPrgw47datGwICAmBpaYlu3bq98dji/ss+P1q1aoUxY8Zg69at6u/r/fv38eWXX6J169YKp9NU3MUjv1hQoJsvjrqoS5cu0t6tk5uHDx9i4MCB+PPPP3PcL9st6OvWrYO5uTmOHDmidXlKpVJJW1BelZaWplUELS0tFUqTuw8//BDff/89VqxYobHd399f6lWjhw4dirFjxyIzM1Pj8vCkSZMwfvx4hdP9j5WVlfr1Qua1jXKzcuVKdO7cGa6uruq5qqKjo1GzZk38+OOPCqfTDbzE8xpdeXHUlQW/dJ2vry+ioqLw7bffokWLFggMDERcXBzmzZuHxYsX69QZLJmlpqZi8uTJ+OWXX3K8NCJbEQRenHHw9vbGBx98oP6LOCgoCKGhofjrr7/w0UcfKZwwZ0IITJkyBcuXL1e/bhgbG2Py5MlSrcXzkhAC0dHRsLW1lW6tmLwIIXDw4EFcvXoVAFCtWjV4e3srnEqHKDY8VyIpKSlixIgRwtbWVuNOjZcPGU2fPl04ODiIb775RhgbG4u5c+eKwYMHizJlyohly5YpHS9Hbm5u4tGjR1rb//nnH+Hm5qZAorzZ29uL06dPCyGEsLCwENeuXRNCCPHbb7+JJk2aKBmtRPniiy9EtWrVxK+//ipMTEzEhg0bxNy5c0WFChXEjz/+qHS8XJ07d0588sknonr16qJ+/fpi4MCB4vr160rHypcnT56Iv//+W1y8eFGkpaUpHSdXWVlZolSpUjrzfX3p7t27SkfQeTyDAmDEiBEIDg7G3Llz0a9fP6xatQr379/HmjVrsHDhQvj6+iodUYsuLviV23oPcXFxcHJy0joLJANLS0uEh4fD1dUVLi4u2LJlC5o0aYLIyEjUqFFDyvVW7t27h927d+d4Zk222XpfcnZ2xubNm9GiRQtYWloiLCwMlSpVwg8//ICtW7dKe0cMFY8aNWpg/fr1aNiwodJR8k1fXx9NmzZF37590aNHD52ZjVomHIOCF7dUvXxxHDhwoHqVUhcXF/z0009SFpTY2Fh4enoCAMzNzdULfHXq1AnTp09XMpqW3bt3q/97//79GteTs7KyEBQUJO1MrVWqVMG1a9fg6uqK2rVrq29F9/f3z3HqbaUFBQWhc+fOcHd3x9WrV1GzZk3cuXMHQgjUq1dP6Xi5SkhIgLu7O4AXpfDlJcqmTZti+PDhSkYrkc6cOZPr5WEZB5wuXLgQEydOxOrVq1GzZk2l4+TLmTNnsGXLFsyZMwejRo1Cu3bt0LdvX/j4+Eh9e7RUFD6DIwUzMzMRFRUlhBCifPny6lP6t2/fFmZmZkpGy1XlypXFqVOnhBBCNGnSRPj5+QkhhNi2bZuwtbVVMpqWVyc6e312U0NDQ1G5cmWxZ88epWPm6IcffhAbN24UQghx5swZUbZsWaGnpyeMjY3Ftm3blA2Xgw8++EDMmDFDCPG/2SCfPHkiOnfuLL777juF0+XO09NTHD58WAghROvWrcX48eOFEEIsW7ZMlC9fXsloBda6dWtpL1kKIcTWrVtFqVKlRKdOnYShoaHo1KmTqFy5srCyshIDBgxQOl6OrK2thaGhofp37+XMrC8fMsvOzhaHDh0SQ4YMETY2NsLKykoMHDhQ6Vg6gWdQ8GICscjISDg7O6Nq1ar45Zdf8OGHH2LPnj2wtrZWOl6OdGnBr+zsbACAm5sbQkNDUbZsWYUT5V/fvn3V/12/fn1ERUXh6tWrcHZ2lvLriIiIwNatWwEABgYGePbsGczNzTFnzhx06dJF2rMRAwcOxIULF9C8eXNMmTIFPj4+WLlyJTIyMrB06VKl4xXIxx9/jEePHikdI1cLFizA0qVLMWLECFhYWGDZsmVwc3PDZ599JuVZQUB3p4IAXtw917JlS7Rs2RLDhw/H4MGDsWnTJmzYsEHpaPJTuiHJYMmSJeqBpQcOHBDGxsbCyMhI6OnpiW+//VbhdPlz4sQJsXjxYrF7926lo2g5ceKE1hmSTZs2CVdXV2FrayuGDh0q9SA9XWJnZ6eeWrtatWrit99+E0IIcf78eWnPBubkzp07YseOHSI8PFzpKCWOqampekmB0qVLq7/HV65cEfb29gomK5mio6PF119/LWrXri309fVF06ZNxerVq5WOpRN4BgXQOOPg7e2Nq1ev4uzZs6hUqZJ0E3HlplGjRmjUqJHSMXI0e/ZstGzZEp06dQIAXLx4EYMHD8aAAQNQrVo1/Pe//4Wjo2OOqzMrYdy4cfk+VrZBpw0bNsTx48dRrVo1dOjQAePHj8fFixexc+dOKQcYHjp0CCNHjsSpU6c0bud3cXGBtbU1GjduDH9/fylv2R00aBCWLVsGCwsLje2pqakYNWqUtH8h29jY4MmTJwCA8uXL49KlS/D09ERiYqKUg75fysrKQmBgoHpl4OrVq6NLly4wMJDzbWzNmjXYsmULQkJCULVqVfj6+uK3336Di4uL0tF0Bu/i0WHXrl3DihUr1L+w1apVw6hRo1ClShWFk2lycHDAnj174OXlBQCYNm0ajhw5guPHjwMAtm/fjpkzZ+LKlStKxlRr2bJlvo578uQJzpw5U8RpCub27dtISUlBrVq1kJqaivHjx+PEiRPw8PDAkiVLpHtx7Ny5M1q2bJnrZcnly5cjODgYgYGBxZwsb/r6+oiJidG6K+3Ro0ewt7fPcZZZGXzyySfw8vLCuHHjMHfuXKxYsQJdunTBgQMHUK9ePSkHyV6+fBmdO3dGbGys+vXt+vXrsLW1xZ49e6QcOOvk5IQ+ffrA19dXp9Yfk8l7W1CWL1+e72NlnH1zx44d6N27N7y8vNRnTk6dOoXQ0FBs27YN3bt3Vzjh/xgbG+PGjRvq2RSbNm2K9u3bY9q0aQCAO3fuwNPTU/1XnQyWLl36xrE8T548Qbt27RASElKMqUoeFxcX7Nu3T2s9m5euXr2KNm3a4O7du8WcLHfJyckQQsDGxgY3btyAra2tel9WVhb27NmDKVOm4MGDBwqmzF1CQgLS0tLg6OiI7OxsLFq0SF1iv/rqKylvh23UqBFsbW2xadMmdb5//vkHAwYMwMOHD3HixAmFE2oTQujczNnSUfL6kpJcXV01HmZmZkKlUqlHhatUKmFmZibtaHx3d3cxffp0re0zZswQ7u7uCiTKnbOzszhy5IgQQoj09HRhYmIiDh48qN4fHh4u3Uh8Y2NjsWnTphz3paSkiCZNmogqVaoUc6r8S05OFklJSerHkydPlI6UIyMjI3Hjxo1c99+4cUMYGxsXY6K8vbwjLbeHvr6+mDdvntIxSxRjY2Nx6dIlre0XL16U7ufjVUePHhW+vr6iYcOG4t69e0IIITZv3iyOHTumcDLdoKd0QVJKZGSk+jF//nzUqVMHERERSEhIQEJCAiIiIlCvXj3MnTtX6ag5iomJwaeffqq1vW/fvoiJiVEgUe46dOiAKVOm4NixY5g6dSpMTU01xhSEh4ejYsWKCibU9sMPP+Czzz7TmMMFeLHce9u2bREfH49Dhw4plE7b+fPn0aFDB/XHjo6OsLGxUT+sra0RGhqqYMKcvRwDkZvw8HDp7iwJDg5GUFAQhBD49ddfcejQIfXj+PHjuHv3rvrsoIz09fURHx+vtf3x48fQ19dXIFHeKleujLi4OK3t8fHxqFSpkgKJ8rZjxw60bdsWJiYmOHfuHNLT0wEASUlJWLBggcLpdITSDUkG7u7uIiwsTGv7mTNnhKurqwKJ8ta+fXuxYcMGre0bNmwQbdq0USBR7h4+fCg++ugjoVKphIWFhdi5c6fG/latWon//Oc/CqXL3dq1a4WpqakIDg4WQrw4c9K0aVNRqVIlcf/+fWXDvWbQoEFi/vz56o/Nzc3FTz/9JA4fPiyCg4NFv379RN++fRVMmLORI0eKmjVrimfPnmnte/r0qahZs6YYNWqUAsnydufOHZGdna10jAJTqVQiLi5Oa/v9+/elOhvx6hnAP/74Q9SoUUNs375dREdHi+joaLF9+3bh6ekp/vjjD6Wj5qhOnTrqs7Av5yQSQoiwsDBhZ2enZDSdIefw52IWExOT44C2rKysHFu7DDp37ozJkyfj7Nmz6rszTp06he3bt2P27Nkaf/l37txZqZgAgLJly+Lo0aNISkqCubm51l9p27dvh7m5uULpcjdkyBAkJCSgS5cu+O233zBjxgw8ePAAR44ckWpZegA4ceIERo4cqbGtYcOG6tlZTUxM0LNnTyWivdFXX32FnTt3onLlyhg5cqR6AOTVq1exatUqZGVlSXs2IioqClFRUbnub9asWTGmydvLcXcqlUq96vVLWVlZOHr0KKpWrapUPC3W1tYaYziEEOjZs6d6m/j/4ZM+Pj5SLiZ57dq1HH8GrKyskJiYWPyBdNB7O0j2VT4+Prh//z7WrVunng787NmzGDZsGMqXL691ml8Genr5uzqnUqmk/OXVJVOmTMF///tfuLq64vDhw+rBvjIxNTXF9evXUaFCBQAvBvkOHjxYfevu3bt3UblyZaSlpSkZM0dRUVEYPnw49u/fr37TUalUaNu2LVatWiXtMgg5/Q6++oYq2+/dy+9jVFQUKlSooPGHgqGhIVxdXTFnzhw0aNBAqYgajhw5ku9jmzdvXoRJ3o67uzu+//57eHt7w8LCAhcuXIC7uzs2b96MhQsXSnPXosx4BgXAhg0b0L9/f3h5eaFUqVIAgOfPn6Nt27ZYt26dwuly9nJ2Vioa3bp10/i4VKlSKFu2LMaMGaOxXZZbMo2NjdVvPAC07kCKjo6GqampEtHy5OLigr179+Kff/7BzZs3IYSAh4eHlHeTvOqff/7R+DgzMxPnzp3D9OnTMX/+fIVS5S4yMhLAi9vod+7cKf33V8bSURBDhw7FmDFjsGHDBqhUKjx48AAnT57E+PHjMWPGDKXj6QQWFAC2trbYu3cvrl+/jqtXrwIAqlatisqVKyucTNvJkyfx+PFj9aRnALB582bMnDkTqamp6Nq1K1asWMHFqN7RqwsaAkCfPn0USpI/devWxa5du9CkSZMc9+/cuRN169Yt5lQFY2Njgw8++EDpGPn2+s8IAPzrX/+CoaEhxo0bh7NnzyqQKm/BwcEaH2dlZeHixYtwcXGRvrQ8ffo0xwUOZZxQc8qUKcjOzkbr1q3x9OlTNGvWDEZGRpg4cSKGDBmidDzdoOQAGNmkp6eLq1eviszMTKWj5Kpdu3Zi4cKF6o/Dw8OFgYGBGDJkiFi8eLGwt7cXM2fOVC4gKeLXX38VBgYGYuXKlSIrK0u9/fnz52L58uWiVKlSYvv27QomfH9ERERIvazAmDFjxLp164QQL34+GjdurJ5W4eWAcNnEx8eLjh075nprt8zS09PF5cuXxenTp8WTJ0/EN998w0Gy+cSCIoRITU0VgwYNEvr6+kJfX1892nrkyJHqVYJlYW9vL0JDQ9Uf/+c//xFNmjRRf/zLL7+IatWqKRGNFDZp0iShUqmEpaWlqFOnjqhTp46wtLQUenp6YsKECUrHK3EuXLig8Th//rz4888/RfPmzTV+J2Xj6Oiofg0JDAwUjo6O4tq1a+Krr74SjRs3Vjhdzj755BPRpEkTERoaKszMzMRff/0lfvjhB1GlShXx+++/Kx1PQ1pampgyZYqoX7++aNy4sQgMDBRCvLjD0tHRUTg5OWn8kUm5Y0ERQowePVrUr19fHDt2TJiZmakLyq5du0SdOnUUTqfJyMhI3L17V/1xkyZNNCaFioyMFObm5kpEIwmcPHlSjB49WrRv3160b99ejB49Wpw8eVLpWCXSywnbVCqVxqNRo0YiIiJC6Xi5MjIyEtHR0UIIIYYOHSrGjBkjhBDi9u3bwsLCQsFkubO3txenT58WQghhYWEhrl27JoQQ4rfffpOuDE6aNElYWVmJ7t27CwcHB2FgYCCGDh0qPD09xdatW8Xz58+VjqgzOAYFwK5du/Dzzz+jYcOGGqPwa9SogVu3bimYTJudnR0iIyPh5OSEjIwMhIWFYfbs2er9T548UQ/0pfdPw4YNpVwUsCR6Oej0JT09Pdja2sLY2FihRPljZ2eHK1euwMHBAfv27cPq1asBvBjfIetEbampqeo1j2xsbPDw4UNUrlwZnp6eCAsLUzidpu3bt2Pz5s3o3LkzLl26hFq1auH58+e4cOECp74vIBYUAA8fPtRa8At48Ush2w/Uy1lZv/76a+zatUsnZmUlKolkW3gxvwYOHIiePXvCwcEBKpUK3t7eAIDTp09LNQ/Kq6pUqYJr167B1dUVtWvXxpo1a+Dq6gp/f3/pZhq+d+8e6tevDwCoWbMmjIyM8OWXX0r3XqIL3tup7l/l5eWFP/74Q/3xyx+kdevWqRfik8XcuXNhYGCA5s2bY+3atVi7di0MDQ3V+zds2IA2bdoomJDo/XHkyBH4+PigUqVKqFSpEjp37oxjx44pHeuNZs2ahXXr1mHYsGEICQlR3/Gnr6+PKVOmKJwuZ2PGjFEv4TFz5kz8+eefcHZ2xvLly6WbNj4rK0vjNdnAwEDKiSh1ASdqA3D8+HG0b98effv2RUBAAD777DNcuXIFJ06cwJEjR9RtWCa5zcqakJAAc3NzjV8QIip8P/74IwYOHIhu3bqpb+8OCQlBYGAgAgIC8MknnyicsOR6+vQprl69CmdnZ5QtW1bpOBr09PTQvn17dfHbs2cPWrVqBTMzM43jZJlDSWYsKP/v1q1bWLhwIS5cuICUlBTUq1cPkydPhqenp9LRiEhC1apVw7Bhw7QmxVuyZAnWrl2LiIgIhZLlLSgoCEFBQYiPj9ea9HHDhg0KpcrdnDlzMGHCBK3JBp89e4b//ve/Uk18NnDgwHwdt3HjxiJOovtYUIhKkMjISDx//hweHh4a22/cuIFSpUrB1dVVmWAlkJGRES5fvqy1mu7NmzdRs2ZNKZcVAIDZs2djzpw58PLyUo9DeVVgYKBCyXKnr6+PmJgYrbGCjx8/Rrly5aRbVoAKBwfJgj/8VHIMGDAAgwYN0ioop0+fxrp163D48GFlgpVATk5OCAoK0iooBw8elHK9ppf8/f0REBCAfv36KR0l34QQOQ4yvXDhAkqXLq1AIioOLCj436qYr0tPT+dYDtIp586dy3G6+4YNG2qtdkzvZvz48Rg9ejTOnz+Pxo0bA3gxBiUgIADLli1TOF3uMjIy1HllZ2NjA5VKBZVKhcqVK2stxpiSkoLPP/9cwYRUlN7rgqJry48T5UWlUuHJkyda25OSkngmsJANHz4c9vb2WLx4MX755RcAL8al/Pzzz+jSpYvC6XI3ZMgQbNmyBdOnT1c6Sp6+/fZbCCEwaNAgzJ49W2P9o5crMMt2pyUVnvd6DIquLT9OlBcfHx+YmJhg69at6p/nrKws9OrVC6mpqfjzzz8VTlhy3Lt3T7169OtOnTol7YR5Y8aMwebNm1GrVi3UqlVLa2LHJUuWKJQsd0eOHEHjxo05CeV75r0uKC/pyvLjRHm5cuUKmjVrBmtra/UEfseOHUNycjIOHTqEmjVrKpyw5KhevTqOHz+uNQYiJCQEHTt2RGJiojLB8tCyZcs37n99tWPZpKWlaa1mbGlpqVAaKkosKHjxC5nXLy2Rrnjw4AFWrlyJCxcuwMTEBLVq1cLIkSM5mLCQDRo0COHh4QgODoaFhQUA4OjRo+jUqRNmz56tdfsxvb2nT59i0qRJ+OWXX/D48WOt/bx8WTKxoODF7YIVKlTAwIED0b9/f6lH4BORHLKzs9GjRw8kJCRg//79OHHiBDp37ox58+ZhzJgxSsfT0q1btzyPUalU2LFjRzGkKZgRI0YgODgYc+fORb9+/bBq1Srcv38fa9aswcKFC+Hr66t0RCoCLCgAHj16hB9++AGbNm3C5cuX0apVKwwePBhdu3blXTwkvfDwcNSsWRN6enoIDw9/47G1atUqplTvh4yMDHTs2BFPnz5FeHg4/Pz8pL1bSpcnEHN2dsbmzZvRokULWFpaIiwsDJUqVcIPP/yArVu3Yu/evUpHpCLAgvKasLAwbNy4EVu3bgUAfPLJJxg8eDBq166tcDKinOnp6SE2NhblypWDnp4eVCpVjrfOq1Qqngp/RzkVwCdPnqBPnz7o2LEjhg8frt7OMlh4zM3NceXKFTg7O6NChQrYuXMnPvzwQ0RGRsLT0xMpKSlKR6QiwIKSgwcPHuD777/HwoULYWBggLS0NDRq1Aj+/v6oUaOG0vGINERFRcHZ2RkqlQpRUVFvPFZXV+CVRU4F8NWPX/43y2DhqlWrFlasWIHmzZvD29sbderUwTfffIPly5dj0aJFuHfvntIRqQiwoPy/zMxM/Pbbb9iwYQMOHDgALy8vDB48GH369MHDhw/x1VdfISwsDFeuXFE6KhEpJK8C+CqWwcKzdOlS6OvrY/To0Th48CB8fHwghEBmZiaWLFki5ZgfencsKABGjRqFrVu3QgiBfv36YciQIVq3Y8bGxsLR0VFrYS0i2Vy7dg0rVqxQL1ZXrVo1jBo1ClWqVFE4GVHhiIqKwtmzZ1GpUiVeSivB3uuZZF+6cuUKVqxYgW7duqmXyH5d2bJlpZ8fgGjHjh3o3bs3vLy81DNsnjp1CjVr1sS2bdvQvXt3hROWHH5+frCzs8OgQYM0tm/YsAEPHz7E5MmTFUpWsmRnZyMgIAA7d+7EnTt3oFKp4Obmhh49enC1+RKOZ1DwYlHAMmXKAACio6Oxdu1aPHv2DD4+PmjWrJnC6Yjyr2LFivD19cWcOXM0ts+cORM//vgjbt26pVCyksfV1RVbtmzRWtfm9OnT6N27NyIjIxVKVnIIIeDj44O9e/eidu3aqFq1KoQQiIiIwMWLF9G5c2fs2rVL6ZhUVMR7LDw8XLi4uAg9PT1RpUoVce7cOWFnZyfMzc2FpaWl0NfXF4GBgUrHJMo3ExMTcePGDa3t169fFyYmJgokKrmMjIzE7du3tbbfunVLGBkZKZCo5NmwYYOwsLAQhw4d0toXFBQkLCwsxKZNmxRIRsVBT+mCpKRJkybB09MTR48eRYsWLdCpUyd07NgRSUlJ+Oeff/DZZ59h4cKFSsckyrcWLVrg2LFjWtuPHz+unvqeCoeTkxNCQkK0toeEhMDR0VGBRCXP1q1b8Z///CfHmb5btWqFKVOm4KefflIgGRWH93oMSmhoKA4dOoRatWqhdu3a+P777/HFF19AT+9Fbxs1apS0C34R5aRz586YPHkyzp49q/7ZPXXqFLZv347Zs2dj9+7dGsfS2xs6dCjGjh2LzMxMtGrVCgAQFBSESZMmYfz48QqnKxnCw8OxaNGiXPe3b99evSo9lTzv9RiUVye4AgALCwtcuHAB7u7uAIC4uDg4OjpyPgPSGS/LdV44T8e7E0JgypQpWL58uXrxOmNjY0yePBkzZsxQOF3JYGhoiKioKDg4OOS4/8GDB3Bzc0N6enoxJ6Pi8F6fQQFevFC/6WMiXcLb4IuPSqXC119/jenTpyMiIgImJibw8PDI9U5AKrisrCwYGOT+NqWvr4/nz58XYyIqTu99QRkwYID6BSUtLQ2ff/45zMzMAICtnIjyFBsbi4SEBDRr1gxGRkbqmWTp3QkhNF6jX8fX6JLtvb7Eo8uLZxG9qkOHDti6dSusrKwAAAsXLsTnn38Oa2trAC9upf/oo484E3Ihevz4MXr27Ing4GCoVCrcuHED7u7uGDRoEGxsbLB48WKlI+o8vka/397rgkJUUujr6yMmJkY9nsrS0hLnz5/neKoi9OmnnyI+Ph7r1q1DtWrV1OPX9u/fj3HjxuHy5ctKRyTSae/9JR6ikuD1vzP4d0fR++uvv7B//35UqFBBY7uHh0eB1uwhopy91/OgEBG9rdTUVJiammptT0hI4EBZokLAgkJUAqhUKt6RVsw++ugjbN68Wf2xSqVCdnY2Fi1alOPEYkRUMLzEQ1QCvH63A+9IK3qLFi1C69atcebMGWRkZGDSpEm4fPkyEhIScpxhlogKhoNkiUoA3u2gjKSkJKxcuRIXLlxASkoK6tWrhxEjRuQ6sRgR5R8LChEREUmHl3iIiN5SYmIi/v77b8THx2vN4vvpp58qlIqoZOAZFCKit7Bnzx74+voiJSUFlpaWGoOSVSoVEhISFExHpPtYUIiI3kLlypXRoUMHLFiwIMfbjYno3bCgEBG9BTMzM1y8eFE9Wy8RFS7Og0JE9Bbatm2LM2fOKB2DqMTiIFkionzavXu3+r87duyIiRMn4sqVK/D09ESpUqU0ju3cuXNxxyMqUXiJh4gon/T08nfSWaVScWFGonfEgkJERETS4RgUIqICOHToEKpXr47k5GStfUlJSahRowaOHTumQDKikoUFhYioAL799lsMHToUlpaWWvusrKzw2WefYcmSJQokIypZWFCIiArgwoULaNeuXa7727Rpg7NnzxZjIqKSiQWFiKgA4uLitO7YeZWBgQEePnxYjImISiYWFCKiAihfvjwuXbqU6/7w8HCuZkxUCFhQiIgKoEOHDpg+fTrS0tK09j179gwzZ85Ep06dFEhGVLLwNmMiogKIi4tDvXr1oK+vj5EjR6JKlSoAgKtXr2LVqlXIyspCWFgY7OzsFE5KpNtYUIiICigqKgrDhw/H/v378fIlVKVSoW3btli1ahXc3NwUTkik+1hQiIje0j///IObN29CCAEPDw/Y2NgoHYmoxGBBISIiIulwkCwRERFJhwWFiIiIpMOCQkRERNJhQSEiIiLpsKAQERGRdFhQiIiISDosKERERCQdFhQiIiKSzv8BppKT+bnXdNwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = df.loc[0:10][[\"Company\", \"Valuation ($B) \"]].plot.bar(color=[\"blue\"])\n",
    "plot.set_xticklabels(df.loc[0:10][\"Company\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Гистограмма распределение количества компаний по году основания. Диаграмма показывает, что больше всего самых дорогих компаний было основано в период между 2012 и 2015 годом."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Founded Year'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Founded Year\"].value_counts().sort_index().plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Точечная диаграмма показывает распределение стоимости компании от количества работников. Из диаграммы видно, что больше всего компаний, у которых в штате от 1000 до 5000 человек."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Number of Employees', ylabel='Valuation ($B) '>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAABYklPD40ePHq1bbrlFnTt31r/+9S+dOHFCx44d048//qiysjJlZWXpwQcf1Jo1a9S9e3etXr26qeMGgAZbND5RQ7pFOJQN6RahReMT3RQRAAAAUDebMWfNylSDV155RXfeead8fetfEmnXrl06cuSIhg0b5pIAm4Ozi9oDaBmy80u1/1gp67QDAADAbZzNQ51K2ls6knYAAAAAQHNyNg9t9Ozx+/bt086dO1VVVdXYXQEAAAAAgDM4nbRXVFRo7ty5GjVqlB577DFVVlZq/PjxSkhI0MUXX6w+ffpo//79TRgqAAAAAACti9NJ+5///Ge99NJLiomJ0RtvvKGbbrpJ27dv19tvv63ly5fLx8dHf/nLX5oyVgAAAAAAWhWnl3z75z//qdTUVI0cOVI//PCDevbsqU8++UTXXXedJCkqKkoTJkxoskABAAAAAGhtnO5pP3z4sPr16ydJ6t69u/z9/dWtWzd7fffu3ZWTk+P6CAEAAAAAaKWcTtorKysdlnzz8fGRt7f3/+7Iy0tMRA8AAAAAgOs4PTxekj7//HOFhIRIkqqqqrRmzRrt2LFDklRYWOjy4AAAAAAAaM2cXqfdy6v+TnmbzabKyspGB9XcWKcdAAAAANCcnM1Dne5pZx12AAAAAACal9PXtAMAAAAAgObV6KR99+7dWrJkiTIyMlwQDgAAAAAAqNagiejmzZunwMBAzZo1S5K0bt06jRgxQu3atVNRUZFSU1NZqx0AAAAAABdpUE/7P//5T1100UX2+4899pimTZum/Px8/e1vf9Pjjz/u8gABAAAAAGitnOppX7p0qYwx2r9/vzIyMnTs2DEZY5SWlqYrr7xSS5cuVVVVlfbt26elS5dKkm6//fYmDRwAAAAAgJbOqaQ9Pj5ekuTn56fo6GjFx8crIyNDwcHBuuaaa2SMUXl5uWw2mzp37iwnV5EDAAAAAAB1cCppv+qqqyRJAwYM0Mcff6w//elPWrVqlUaOHKnk5GRJ0nfffadOnTrZ7wMAAAAAgMZp0DXtTz75pDIyMjRkyBAdOHBA8+bNs9elpqZqxIgRLg8QAAAAAIDWymbOYyz7sWPHFB4e7lB25MgRBQcHq02bNi4LrrkUFxcrJCRERUVFCg4Odnc4AAAAAIAWztk8tEFLvlU7O2GXpA4dOpzPrgAAAAAAQC2cGh6/fPlyp3d46NAhpaWlnXdAAAAAAADgZ04l7S+99JJ69eqlhQsXavfu3efUFxUV6dNPP9Wvf/1rDRgwQMeOHXN5oAAAAAAAtDZOJe0bNmzQE088odWrV6tPnz4KDg5WQkKC+vbtq44dOyo8PFx33nmn4uLitGPHDo0ePdolwVVWVuqhhx5Sly5dFBgYqAsvvFB//etfHZaUM8Zozpw56tChgwIDA5WSkqKsrCyXPD8AAAAAAO7k9DXto0eP1ujRo5Wfn68vv/xSBw4c0E8//aSIiAglJiYqMTFRXl4Nmoy+Xk888YReeuklvfnmm+rdu7e+/vprTZo0SSEhIZo2bZokaeHChXrhhRf05ptvqkuXLnrooYc0fPhw7dq1SwEBAS6NBwAAAACA5nRes8c3lxtuuEHR0dF6/fXX7WVjx45VYGCg/vGPf8gYo9jYWM2cOVMPPPCApJ+H6kdHRys1NVW33nqrU8/D7PEAAAAAgObkbB7q2q5xF7v88su1Zs0a/fDDD5Kkb775Rl9++aWuu+46SVJ2drZycnKUkpJif0xISIgGDx6s9PT0WvdbXl6u4uJihxsAAAAAAFZzXku+NZc///nPKi4uVs+ePeXt7a3Kyko99thjmjBhgiQpJydHkhQdHe3wuOjoaHtdTebPn69HHnmk6QIHAAAAAMAFLN3T/s477+itt97S22+/rW3btunNN9/UU089pTfffLNR+509e7aKiorst0OHDrkoYgAAAAAAXMfSPe2zZs3Sn//8Z/u16X379tWBAwc0f/58TZw4UTExMZKk3NxcdejQwf643Nxc9e/fv9b9+vv7y9/fv0ljBwAAAACgsSzd015WVnbOjPTe3t6qqqqSJHXp0kUxMTFas2aNvb64uFibN29WUlJSs8YKAAAAAICrNbinvbKyUqmpqVqzZo2OHj1qT6CrrV271mXBjRo1So899pji4uLUu3dvbd++Xc8884zuvPNOSZLNZtP06dP16KOPKiEhwb7kW2xsrMaMGeOyOAAAAAAAcIcGJ+3333+/UlNTdf3116tPnz6y2WxNEZckadGiRXrooYd077336ujRo4qNjdXvfvc7zZkzx77NH//4R5WWluruu+9WYWGhrrjiCq1atYo12gEAAAAAHq/B67RHRERo6dKlGjlyZFPF1OxYpx0AAAAA0JyabJ12Pz8/devWrVHBAQAAAACA+jU4aZ85c6aef/55NbCDHgAAAAAANFCDr2n/8ssvtW7dOn322Wfq3bu3fH19Herff/99lwUHAAAAAEBr1uCkPTQ0VDfeeGNTxAIAAAAAAM7Q4KR9yZIlTREHAAAAAAA4S4OT9mp5eXnKzMyUJPXo0UORkZEuCwoAAAAAAJzHRHSlpaW688471aFDByUnJys5OVmxsbGaPHmyysrKmiJGAAAAAABapQYn7TNmzNCGDRu0cuVKFRYWqrCwUB999JE2bNigmTNnNkWMAAAAAAC0SjbTwLXbIiIi9M9//lNXX321Q/m6des0btw45eXluTK+ZuHsovYAAAAAALiCs3log3vay8rKFB0dfU55VFQUw+MBAAAAAHChBiftSUlJmjt3rk6ePGkv++mnn/TII48oKSnJpcEBAAAAANCaNXj2+Oeff17Dhw9Xx44d1a9fP0nSN998o4CAAH3++ecuDxAAAAAAgNaqwde0Sz8PkX/rrbf0/fffS5J69eqlCRMmKDAw0OUBNgeuaQcAAAAANCdn89DzWqc9KChId91113kHBwAAAAAA6udU0r5ixQpdd9118vX11YoVK+rcdvTo0S4JDAAAAACA1s6p4fFeXl7KyclRVFSUvLxqn7vOZrOpsrLSpQE2B4bHAwAAAACak0uHx1dVVdX4NwAAAAAAaDoNXvJt6dKlKi8vP6f81KlTWrp0qUuCAgAAAAAA5zF7vLe3t44cOaKoqCiH8mPHjikqKorh8QAAAAAA1MPZPLTBPe3GGNlstnPKf/zxR4WEhDR0dwAAAAAAoBZOL/mWmJgom80mm82mYcOGycfnfx9aWVmp7OxsjRgxokmCBAAAAACgNXI6aR8zZowkKSMjQ8OHD1fbtm3tdX5+furcubPGjh3r8gABAAAAAGitnE7a586dK0nq3LmzbrnlFgUEBDRZUAAAAAAAoAFJe7WJEyc2RRwAAAAAAOAsDU7aKysr9eyzz+qdd97RwYMHderUKYf6goIClwUHAAAAAEBr1uDZ4x955BE988wzuuWWW1RUVKQZM2bopptukpeXlx5++OEmCBEAAAAAgNapwUn7W2+9pddee00zZ86Uj4+Pxo8fr7///e+aM2eONm3a1BQxAgAAAADQKjU4ac/JyVHfvn0lSW3btlVRUZEk6YYbbtAnn3zi2ugAAAAAAGjFGpy0d+zYUUeOHJEkXXjhhfrXv/4lSdqyZYv8/f1dGx0AAAAAAK1Yg5P2G2+8UWvWrJEk3XfffXrooYeUkJCg22+/XXfeeafLAwQAAAAAoLWyGWNMY3aQnp6u9PR0JSQkaNSoUa6Kq1kVFxcrJCRERUVFCg4Odnc4AAAAAIAWztk8tME97WdLSkrSjBkzmixh/+9//6vf/OY3Cg8PV2BgoPr27auvv/7aXm+M0Zw5c9ShQwcFBgYqJSVFWVlZTRILAAAAAADNqcHrtC9durTO+ttvv/28gznb8ePHNWTIEF1zzTX67LPPFBkZqaysLLVv396+zcKFC/XCCy/ozTffVJcuXfTQQw9p+PDh2rVrlwICAlwWCwAAAAAAza3Bw+PPTJglqaKiQmVlZfLz81NQUJAKCgpcFtyf//xnpaWl6Ysvvqix3hij2NhYzZw5Uw888IAkqaioSNHR0UpNTdWtt97q1PMwPB4AAAAA0JyabHj88ePHHW4lJSXKzMzUFVdcoWXLljUq6LOtWLFCAwcO1M0336yoqCglJibqtddes9dnZ2crJydHKSkp9rKQkBANHjxY6enpte63vLxcxcXFDjcAAAAAAKym0de0S1JCQoIWLFig+++/3xW7s9u3b59eeuklJSQk6PPPP9fvf/97TZs2TW+++aakn9eMl6To6GiHx0VHR9vrajJ//nyFhITYb506dXJp3AAAAAAAuIJLknZJ8vHx0eHDh121O0lSVVWVBgwYoMcff1yJiYm6++67ddddd+nll19u1H5nz56toqIi++3QoUMuihgAAAAAANdp8ER0K1ascLhvjNGRI0f0t7/9TUOGDHFZYJLUoUMHXXTRRQ5lvXr10nvvvSdJiomJkSTl5uaqQ4cO9m1yc3PVv3//Wvfr7+8vf39/l8YKAAAAAICrNThpHzNmjMN9m82myMhIDR06VE8//bSr4pIkDRkyRJmZmQ5lP/zwg+Lj4yVJXbp0UUxMjNasWWNP0ouLi7V582b9/ve/d2ksAAAAAAA0twYn7VVVVU0RR43+8Ic/6PLLL9fjjz+ucePG6auvvtKrr76qV199VdLPPxhMnz5djz76qBISEuxLvsXGxp7z4wIAAAAAAJ6mwUl7c7r00kv1wQcfaPbs2Zo3b566dOmi5557ThMmTLBv88c//lGlpaW6++67VVhYqCuuuEKrVq1ijXYAAAAAgMdzap32GTNmOL3DZ555plEBuQPrtAMAAAAAmpOzeahTPe3bt2936kltNptz0QEAAAAAgHo5lbSvW7euqeMAAAAAAABncdk67QAAAAAAwLXOayK6r7/+Wu+8844OHjyoU6dOOdS9//77LgkMAAAAAIDWrsE97cuXL9fll1+u3bt364MPPlBFRYV27typtWvXKiQkpCliBAAAAACgVWpw0v7444/r2Wef1cqVK+Xn56fnn39e33//vcaNG6e4uLimiBEAAAAAgFapwUn73r17df3110uS/Pz8VFpaKpvNpj/84Q969dVXXR4gAAAAAACtVYOT9vbt2+vEiROSpAsuuEA7duyQJBUWFqqsrMy10QEAAAAA0Io1eCK65ORkrV69Wn379tXNN9+s+++/X2vXrtXq1as1bNiwpogRAAAAAIBWyemkfceOHerTp4/+9re/6eTJk5Kkv/zlL/L19dV//vMfjR07Vg8++GCTBQoAAAAAQGtjM8YYZzb08vLSpZdeqt/+9re69dZb1a5du6aOrdkUFxcrJCRERUVFCg4Odnc4AAAAAIAWztk81Olr2jds2KDevXtr5syZ6tChgyZOnKgvvvjCJcECAAAAAIBzOZ20X3nllXrjjTd05MgRLVq0SPv379dVV12l7t2764knnlBOTk5TxgkAAAAAQKvT4Nnj27Rpo0mTJmnDhg364YcfdPPNN2vx4sWKi4vT6NGjmyJGAAAAAABaJaevaa9NaWmp3nrrLc2ePVuFhYWqrKx0VWzNhmvaAQAAAADNydk8tMFLvlXbuHGj3njjDb333nvy8vLSuHHjNHny5PPdHQAAAAAAOEuDkvbDhw8rNTVVqamp2rNnjy6//HK98MILGjdunNq0adNUMQIAAAAA0Co5nbRfd911+ve//62IiAjdfvvtuvPOO9WjR4+mjA0AAAAAgFbN6aTd19dX//znP3XDDTfI29u7KWMCAAAAAABqQNK+YsWKpowDaDH25ZXoQEGZOoe3UZcILhsBAAAAcP7OeyI6AI4Ky05p2rIMbczKs5clJ0Rq0fhEhQT5ujEyAAAAAJ6qweu0A6jZtGUZStuT71CWtidf9y3b7qaIAAAAAHg6knbABfbllWhjVp4qjXEorzRGG7PylJ1f6qbIAAAAAHgyknbABQ4UlNVZv/8YSTsAAACAhiNpB1wgPiyozvrO4UxIBwAAAKDhSNoBF+ga2VbJCZHyttkcyr1tNiUnRDKLPAAAAIDzQtIOuMii8Yka0i3CoWxItwgtGp/opohQm315JVqXeZS5BgAAAGB5LPkGuEhIkK+WTh6k7PxS7T9WyjrtFsSyfAAAAPA09LQDLtYloo2u6RFFwm5BLMsHAAAAT0PSDqBVYFk+AAAAeCKPStoXLFggm82m6dOn28tOnjypKVOmKDw8XG3bttXYsWOVm5vrviABWBLL8gEAAMATeUzSvmXLFr3yyiu6+OKLHcr/8Ic/aOXKlXr33Xe1YcMGHT58WDfddJObogRgVSzL53mYMBAAAMBDJqIrKSnRhAkT9Nprr+nRRx+1lxcVFen111/X22+/raFDh0qSlixZol69emnTpk267LLL3BUyAIvpGtlWSV3Dlb7v2Dl1SV3DmYPAQpgwEAAA4H95RE/7lClTdP311yslJcWhfOvWraqoqHAo79mzp+Li4pSent7cYQKS6B20MputYeVwDyYMBAAA+F+W72lfvny5tm3bpi1btpxTl5OTIz8/P4WGhjqUR0dHKycnp9Z9lpeXq7y83H6/uLjYZfGi9aJ30Nr25ZXoP3vP7WWXpP/sPabs/FJ62y2gesLAs505YSDHCQAAtCaW7mk/dOiQ7r//fr311lsKCAhw2X7nz5+vkJAQ+61Tp04u2zdaL3oHrY2J6DwDxwkAAMCRpZP2rVu36ujRoxowYIB8fHzk4+OjDRs26IUXXpCPj4+io6N16tQpFRYWOjwuNzdXMTExte539uzZKioqst8OHTrUxK8ELR3LiVkfE9F5Bo4TAACAI0sn7cOGDdN3332njIwM+23gwIGaMGGC/W9fX1+tWbPG/pjMzEwdPHhQSUlJte7X399fwcHBDjegMegdtL6ukW3VvpbLFNoH+TLk2iK6RrZVckKkvM+aaMDbZlNyQiTHCQAAtDqWvqa9Xbt26tOnj0NZmzZtFB4ebi+fPHmyZsyYobCwMAUHB+u+++5TUlISM8ejWdE7aH378kp0vKyixrrjZRVcK20hi8Yn6r5l2x2ubR/SLUKLxie6MSoAAAD3sHTS7oxnn31WXl5eGjt2rMrLyzV8+HC9+OKL7g4LrUx172DannyHIfLeNpuGdIsgGbQAZ0ZDcJysISTIV0snD1J2fqn2HytV5/A2HBsAANBq2Yw56yLcVqi4uFghISEqKipiqDzOW1FZxTm9g8webx378ko09OkNtdave+BqEkMAAAA0G2fzUI/vaQesgt5Ba2M0BAAAADyRpSeiAzxRl4g2uqZHFEmgBS0an6gh3SIcyrhWGgAAAFZGTzuAVoPREAAAAPA0JO0AWp0uESTrAAAA8Awk7QBanX15JTpQUEZPOwAAACyPpB1Aq1FYdkrTlmUwwz8AAAA8BhPRAWg1pi3LUNqefIeytD35um/ZdjdFBHi+fXklWpd5VNn5pe4OBQCAFomedgCtwr68Eoce9mqVxmhjVp6y80sZKg80ACNXAABoHvS0A2gVDhSU1Vm//xi9hEBDMHIFAIDmQdIOoFWIDwuqs75zOL3sgLOqR65UGuNQfubIFQAA4Bok7QBaha6RbZWcEClvm82h3NtmU3JCJEPjgQZg5AoAAM2HpB1Aq7FofKKGdItwKBvSLUKLxie6KSLAMzFyBQCA5sNEdABajZAgXy2dPEjZ+aXaf6yUddqB81Q9ciVtT77DEHlvm01DukVwXgEA4EL0tANodbpEtNE1PaJILIBGYOQKAADNg552AADQYIxcAQCgeZC0AwCA89YlgmQdAICmxPB4AAAAAAAsiqQdAAAAAACLImkHAAAAAMCiSNoBAAAAALAoknYAAAAAACyK2eMBtDr78kp0oKCMJaoAAABgeSTtAFqNwrJTmrYsQxuz8uxlyQmRWjQ+USFBvm6MDAAAAKgZw+MBtBrTlmUobU++Q1nannzdt2y7myICAAAA6kbSDqBV2JdXoo1Zeao0xqG80hhtzMpTdn6pmyIDAAAAakfSDqBVOFBQVmf9/mMk7QAAALAeknYArUJ8WFCd9Z3DmZAOAAAA1kPSDqBV6BrZVskJkfK22RzKvW02JSdEMos8AAAALImkHUCrsWh8ooZ0i3AoG9ItQovGJ7opIgAAAKBuLPkGoNUICfLV0smDtPGHPG0/dFwD4trryoRId4cFAAAA1IqkHUCrwTrtAAAA8DSWHh4/f/58XXrppWrXrp2ioqI0ZswYZWZmOmxz8uRJTZkyReHh4Wrbtq3Gjh2r3NxcN0XctPbllWhd5lGWpgLOE+u0AwAAwNNYOmnfsGGDpkyZok2bNmn16tWqqKjQtddeq9LS/01a//CHP2jlypV69913tWHDBh0+fFg33XSTG6N2vcKyU7r99a809OkNmrRki655ar1uf/0rFZVVuDs0wGOwTjsAAAA8kc2Ys77BWlheXp6ioqK0YcMGJScnq6ioSJGRkXr77bf1q1/9SpL0/fffq1evXkpPT9dll13m1H6Li4sVEhKioqIiBQcHN+VLOC+3v/6V0vbkOyQb3jabhnSL0NLJg9wYGeA51mUe1aQlW2qtXzLpUl3TI6oZIwIAAEBr5mweaume9rMVFRVJksLCwiRJW7duVUVFhVJSUuzb9OzZU3FxcUpPT691P+Xl5SouLna4WRW9g4Br1NfY+XjZ6tkCAAAAaH4ek7RXVVVp+vTpGjJkiPr06SNJysnJkZ+fn0JDQx22jY6OVk5OTq37mj9/vkJCQuy3Tp06NWXojXKgoKzO+v3HSNoBZ1TVU3+6ymMGHQEAAKAV8ZikfcqUKdqxY4eWL1/e6H3Nnj1bRUVF9tuhQ4dcEGHTiA8LqrO+c3ibZooE8GycSwAAAPBEHpG0T506VR9//LHWrVunjh072stjYmJ06tQpFRYWOmyfm5urmJiYWvfn7++v4OBgh5tVdY1sq+SESHnbHIfuettsSk6IVJcIEg3AGV0j2yqpa3iNdUldwzmXAAAAYEmWTtqNMZo6dao++OADrV27Vl26dHGov+SSS+Tr66s1a9bYyzIzM3Xw4EElJSU1d7hNZtH4RA3pFuFQNqRbhBaNT3RTRIBnOl1V8yD5ylrKAQAAAHfzcXcAdZkyZYrefvttffTRR2rXrp39OvWQkBAFBgYqJCREkydP1owZMxQWFqbg4GDdd999SkpKcnrmeE8QEuSrpZMHKTu/VPuPlapzeBt6BYEG2pdXoi37j9dY99X+48rOL+W8AgAAgOVYOml/6aWXJElXX321Q/mSJUt0xx13SJKeffZZeXl5aezYsSovL9fw4cP14osvNnOkzaNLBMk6cL42ZxfUWb9p3zHOLwAAAFiOpZN2Z5aQDwgI0OLFi7V48eJmiMi99uWV6EBBGT3twHmpuz1hwTcAAABYkaWTdvyssOyUpi3L0MasPHtZckKkFo1PVEiQrxsjQ002ZB5Vxo+FGhDXXlcmRLo7HPx/g7vUPAmdvb6WSergPvxQCQAAQNLuEX7/j21K33fMoWxjVp7u+cdWLbu75Vy77+kOHCvVmMVpOl5WYS9rH+SrFVOuUKfwupcbQ9PrGtlWl3ZuX+N17YM6tycptBB+qAQAAPhflp49Hj/3NJ2dsFdL33dM2fmlzRwRanN2wi5Jx8sqNHrxl26KCGfz9a65yfOppRzuMW1ZhtL25DuUpe3J133LtrspIgAAAPfhm6rFOTN5FtxvQ+bRcxL2asfLKvTFGT2GcI99eSX6z96az5f/7OUHMKvYl1eijVl5qjxrTpNKY7QxK4/jZEH78kq0LvMoxwYAgCbC8HjLY/IsT5DxY2Gd9dsOHuf6djc7UFBWZ/3+Yyz5ZgUcJ8/BZQwAADQPetotjsmzPEP/jqF11g+Ia988gaBW8WF1zyvQOZxE0Ao4Tp6DyxgAAGgeJO0W1zWyrS6/sObE/PILw+lxsoirekSpfS09S+2DfOllt4CukW2VVMuPXEldOZeAhuAyBs/CJQwA4NlI2j3ASxMuUfJZSV9yQqRemnCJmyJCTVZMueKcxL169nhYw8mK0zWWl9dSjubHPB6ewZnLGOB+hWWndPvrX2no0xs0ackWXfPUet3++lcqqmUOFrgXP654Bo4T3IFr2j1ASJCvlk4epOz8Uu0/VsqaxRbVKTxI2+dcqy+y8rTt4HHWabeYfXkl2n6oqMa6bYeKlJ3PtdJWkHfiZJ31x0rKmykS1IXLGDxDXZcwLJ08yE1R4WzMD+EZOE5wJ3raPYgxdU9KB2u4MiFS9w/rTsJuMR9/e6Se+sPNFAkAND0uYfAcv//HNodEUJI2ZuXpnn9sdVNEqAnzeHiOljgagp52D8Ave0DjFZTW3UNbUHKqmSJBXSLb+ddZH9G27no0D2b5tz6OkWfYl1ei9Fou+0nfd4xRYBZR/SPY2c78EYzj5H4tOWeip90D8MueZ2mJv+61BL1iguusvyi27no0j9iQwDrrL2hfdz2aB8PjrY9j5BmYx8MzMI+HZ2jJORM97RbHL3ueoyX/utcSRIUE1FkfUU8PL5pHVT31p6u4TMgKuka2VXJCpNL25DsMv/a22TSkWwT/lyyga2RbtQ/y1fEaJp1rH+TLMbKMuts0WzNFgbrxI5j1tfSciZ52i+OXPc/Rkn/dawl2/ljzJHTVdh8ubqZIUJejRXVPRJd/gonorGLR+EQN6RbhUDakW4QWjU90U0Q40768khoTdkk6XlbBaDCL8KonLff2Im23guofKr1tjsfD22ZTckKkRyeDLUVLz5noabc4ftnzDC39172WIG1vfp31X+7J073XdGumaFCbnHpmjz9c9FMzRYL6sLKJtXFNu2egzfMci8Yn6r5l2x2+7/FDpXW09JyJpB1wAb4cWV9uPT249dWjeXjX0+vk68UAMas5eKxU3/5YKB8vG+2chbT0L7AtRf+OoXXWD4hr3zyBoF78UGltLf2yLZJ2iyMZ9Ax8ObK+U1V1Xy19qpJrpa0gv55Z/o/W0yuF5nPgWKnGLE5zGILdPshXK6ZcoU7hdbeJaHot/QtsS9Gpnu8PHdtzLllNlwiSdatqyaMhSNotjmTQM3SNbKukruE1LtuS1DWcxt0C2vn5Sqo94WvnT3NoBcU/1XwNbrWSk6ebKRLU5+yEXfr5WunRi7/U9jnXuikqnKklf4FtKeicAVynJY+G4Fsq4CK2Wkb11laO5nVBWKB2556otZ7eDGsoricpL/6JpN0KNmQerXOSsy+y8nRlQmQzR4WzteQvsC0FnTOA67XE0RBcHGhxLX0mxJZiX16J/rO35rVU/7P3GLP0WsB/6zmX/nu87no0j/pmh88vYfZ4K8j4sbDO+m0HjzdPIHBKl4g2uqZHVIv7EgsANdmXV6J1mUdb1Pdvetotrr5fVXxYCsQSGN5mfTnFzNDbEjDzgDUweRbgGpuzC+qs37TvGN8fACcVlp3StGUZDpcEJSdEatH4RIUE+boxssajp93i6p46SzpdxVdYK2B4m/W1Dai7sa6vHs0jsp1/nfVR9dSjeVzVI6rWH419vGwMjQectCW75lF61bburzupB/C/pi3LUNoexyV+0/bk675l290UkeuQtFscySDgGgM7193zd2nnsGaKBHVpG1D3ALA2TBhoCfvySmr90fh0lWlRQxKBpnSknuVGGQUGOGdfXok2ZuU5rJYhSZXGaGNWnsf/XyJpt7jqJVu8z5rNzNtmU3JCJEOmLIK5B6xvTP8L6qy/cUDd9Wge9bVpXSNp86yANg9wjZ4xwXXW96qnHsDPWvr/JZJ2D7BofKKGdItwKGPJFmthRIT1XdUjSsG19OIGB/gwnNcibrg4ts766+upR/OgzQNc47ak+Drrf5PUuXkCATxcS/+/RNLuAaqXbFn3wNVaMulSrXvgai2dPMjjJ1RoSRgR4Rk+ue9KtT/rvGkf5KtP7rvSTRHhbF0j22pQLZcqDOocxrlkEbR5gGt0jWyrAXGhNdYNiAvlXAKc1NL/L9mMMa1+JrPi4mKFhISoqKhIwcEMQ8L5KSqr0H3LtrfIGStbmi+y8rTt4HENiGtPD7sFcS55Bo4T4BqcS4BreOK55GweStIukna4VnZ+qfYfK1Xn8DYe/6se4E6cS56B4wS4BucS4BqedC6RtDcASTsAAAAAoDk5m4dyTTsAAAAAABZF0g4AAAAAgEW1mKR98eLF6ty5swICAjR48GB99dVX7g4JAAAAAIBGaRFJ+//9v/9XM2bM0Ny5c7Vt2zb169dPw4cP19GjR90dGgAAAAAA561FJO3PPPOM7rrrLk2aNEkXXXSRXn75ZQUFBemNN95wd2gAAAAAAJw3j0/aT506pa1btyolJcVe5uXlpZSUFKWnp9f4mPLychUXFzvcAAAAAACwGo9P2vPz81VZWano6GiH8ujoaOXk5NT4mPnz5yskJMR+69SpU3OECgAAAABAg/i4OwB3mD17tmbMmGG/X1RUpLi4OHrcAQAAAADNojr/NMbUuZ3HJ+0RERHy9vZWbm6uQ3lubq5iYmJqfIy/v7/8/f3t96vfLHrcAQAAAADN6cSJEwoJCam13uOTdj8/P11yySVas2aNxowZI0mqqqrSmjVrNHXqVKf2ERsbq0OHDqldu3ay2WxNGG3jFBcXq1OnTjp06JCCg4PdHQ5qwXGyPo6RZ+A4eQaOk/VxjDwDx8kzcJysz5OOkTFGJ06cUGxsbJ3beXzSLkkzZszQxIkTNXDgQA0aNEjPPfecSktLNWnSJKce7+XlpY4dOzZxlK4THBxs+Q8gOE6egGPkGThOnoHjZH0cI8/AcfIMHCfr85RjVFcPe7UWkbTfcsstysvL05w5c5STk6P+/ftr1apV50xOBwAAAACAJ2kRSbskTZ061enh8AAAAAAAeAKPX/KtNfH399fcuXMdJtGD9XCcrI9j5Bk4Tp6B42R9HCPPwHHyDBwn62uJx8hm6ptfHgAAAAAAuAU97QAAAAAAWBRJOwAAAAAAFkXSDgAAAACARZG0AwAAAABgUSTtTWDjxo0aNWqUYmNjZbPZ9OGHHzrUG2M0Z84cdejQQYGBgUpJSVFWVla9+128eLE6d+6sgIAADR48WF999ZVD/cmTJzVlyhSFh4erbdu2Gjt2rHJzcx22OXjwoK6//noFBQUpKipKs2bN0unTpxv9mpvKww8/LJvN5nDr2bNnnY9599131bNnTwUEBKhv37769NNPHeqdef8LCgo0YcIEBQcHKzQ0VJMnT1ZJSUmdz3vkyBH9+te/Vvfu3eXl5aXp06efV3w1Wb9+vQYMGCB/f39169ZNqamp52zjis+HK9V3HtTEXa9z//7953zObDabNm3aVOfjnDmfXPGa3KG+c6+p2pudO3dq7Nix6ty5s2w2m5577jmn4v3222915ZVXKiAgQJ06ddLChQvP2cYVbYOncMX/ofNpB99//3394he/UGRkpIKDg5WUlKTPP//cYRtn2vXmbq+swhXn3dlOnjypO+64Q3379pWPj4/GjBlT43ae2lY1tfnz5+vSSy9Vu3btFBUVpTFjxigzM9Nhm6uvvvqc43bPPfc4bHM+7WFqauo5+w0ICHDYpqnO5Zaoqb6f1/T9Yfny5Q7bOHN+tQZ33HGHbDabFixY4FD+4YcfymazNWrfZ54v3t7eat++vQYPHqx58+apqKioQfuq/l6YkZHRqJhcysDlPv30U/OXv/zFvP/++0aS+eCDDxzqFyxYYEJCQsyHH35ovvnmGzN69GjTpUsX89NPP9W6z+XLlxs/Pz/zxhtvmJ07d5q77rrLhIaGmtzcXPs299xzj+nUqZNZs2aN+frrr81ll11mLr/8cnv96dOnTZ8+fUxKSorZvn27+fTTT01ERISZPXu2y98DV5k7d67p3bu3OXLkiP2Wl5dX6/ZpaWnG29vbLFy40Ozatcs8+OCDxtfX13z33Xf2bZx5/0eMGGH69etnNm3aZL744gvTrVs3M378+Dpjzc7ONtOmTTNvvvmm6d+/v7n//vvPK76z7du3zwQFBZkZM2aYXbt2mUWLFhlvb2+zatUq+zau+Hy4Wn3nwdnc+Tqzs7ONJPPvf//b4bN26tSpWh/jzPnkqtfkDvWde03V3nz11VfmgQceMMuWLTMxMTHm2WefrTfWoqIiEx0dbSZMmGB27Nhhli1bZgIDA80rr7xi38ZVbYOncMX/ofNpB++//37zxBNPmK+++sr88MMPZvbs2cbX19ds27bNvo0z7Xpzt1dW0djzriYlJSXmnnvuMa+++qoZPny4+eUvf3nONp7cVjW14cOHmyVLlpgdO3aYjIwMM3LkSBMXF2dKSkrs21x11VXmrrvucjhuRUVF9vrzbQ+XLFligoODHfabk5PjsE1TncstUVN8PzfGGElmyZIlDsfpzMc4c361FhMnTjQBAQEmNDTUFBQU2Ms/+OAD09i09Mzz5fDhw2bXrl3m73//u7nwwgtN586dzX//+1+n91X9vXD79u2NismVSNqb2NmNQlVVlYmJiTFPPvmkvaywsND4+/ubZcuW1bqfQYMGmSlTptjvV1ZWmtjYWDN//nz7Pnx9fc27775r32b37t1GkklPTzfG/NxYeXl5OTT4L730kgkODjbl5eWNfq1NYe7cuaZfv35Obz9u3Dhz/fXXO5QNHjzY/O53vzPGOPf+79q1y0gyW7ZssW/z2WefGZvN5vQJf9VVV9WYtNcXX03++Mc/mt69ezuU3XLLLWb48OH2+674fDQlZ5J2d77O82mcnTmfXPGa3KWuc6+52pv4+HinkvYXX3zRtG/f3mG/f/rTn0yPHj3s913RNniq8/k/5Ip2sNpFF11kHnnkEfv9+tp1d7dX7tTY864+EydOrDFp9+S2qrkdPXrUSDIbNmywl9X2P7/a+baHS5YsMSEhIbXWN/e53JK46vt5Tfs6mzPnV2sxceJEc8MNN5iePXuaWbNm2ctrStr/+c9/mosuusj4+fmZ+Ph489RTT9W579rOl9zcXBMREWEmTJhgL/vss8/MkCFDTEhIiAkLCzPXX3+92bNnj71eksPtqquuMsb83LGQkpJiwsPDTXBwsElOTjZbt249j3ei4Rge38yys7OVk5OjlJQUe1lISIgGDx6s9PT0Gh9z6tQpbd261eExXl5eSklJsT9m69atqqiocNimZ8+eiouLs2+Tnp6uvn37Kjo62r7N8OHDVVxcrJ07d7r0dbpSVlaWYmNj1bVrV02YMEEHDx6sddv09HSH90D6+TVWvwfOvP/p6ekKDQ3VwIED7dukpKTIy8tLmzdvbtRrqS++83mMqz4f7maF1zl69GhFRUXpiiuu0IoVK+qNt77zyRWvyZ1qO/es1t6kp6crOTlZfn5+Ds+VmZmp48eP27dpbNvQUjRnO1hVVaUTJ04oLCzMobyudt0T2qum1Jjz7nx5elvVnKqH2Z79mX7rrbcUERGhPn36aPbs2SorK7PXNaY9LCkpUXx8vDp16qRf/vKXDtu7+ztNS9LY/wFTpkxRRESEBg0apDfeeEM/530/O5/vfi2Zt7e3Hn/8cS1atEg//vhjjdts3bpV48aN06233qrvvvtODz/8sB566KHzuqwgKipKEyZM0IoVK1RZWSlJKi0t1YwZM/T1119rzZo18vLy0o033qiqqipJsl/68+9//1tHjhzR+++/L0k6ceKEJk6cqC+//FKbNm1SQkKCRo4cqRMnTpzHO9EwPk3+DHCQk5MjSQ4Nd/X96rqz5efnq7KyssbHfP/99/b9+vn5KTQ0tNb95uTk1LiPM+OymsGDBys1NVU9evTQkSNH9Mgjj+jKK6/Ujh071K5du3O2r+01nvkeVJfVtU1UVJRDvY+Pj8LCwhr9PtUXX0MeU1xcrJ9++knHjx93yefD3dz5Otu2baunn35aQ4YMkZeXl9577z2NGTNGH374oUaPHt2geKvrXPWa3KWuc89q7U1OTo66dOlS63O1b9/eJW1DS9Gc7eBTTz2lkpISjRs3zl5WX7vuCe1VU2nseXe+PLmtak5VVVWaPn26hgwZoj59+tjLf/3rXys+Pl6xsbH69ttv9ac//UmZmZn2L/rn2x726NFDb7zxhi6++GIVFRXpqaee0uWXX66dO3eqY8eObv9O05I05n/AvHnzNHToUAUFBelf//qX7r33XpWUlGjatGn2fdd1fgUGBrrwlXiGG2+8Uf3799fcuXP1+uuvn1P/zDPPaNiwYXrooYckSd27d9euXbv05JNP6o477mjw8/Xs2VMnTpzQsWPHFBUVpbFjxzrUv/HGG4qMjNSuXbvUp08fRUZGSpLCw8MVExNj327o0KEOj3v11VcVGhqqDRs26IYbbmhwXA1B0g5Lu+666+x/X3zxxRo8eLDi4+P1zjvvaPLkyW6Lq23btva/f/Ob3+jll192WyxomN69e+vAgQOSpCuvvFKfffaZIiIiNGPGDPs2l156qQ4fPqwnn3yy1qS9pavr3HPFF4yDBw/qoosust//n//5H/3P//xPo/eL5lNfO/j222/rkUce0UcffeSQNFi1XbeCxp53NbVvcJ0pU6Zox44d+vLLLx3K7777bvvfffv2VYcOHTRs2DDt3btXF154Yb37ra09TEpKUlJSkr388ssvV69evfTKK6/or3/9qwteERriuuuu0xdffCFJio+Pt496qE4sJSkxMVGlpaV68skn7Uk7avbEE09o6NCheuCBB86p2717t375y186lA0ZMkTPPfecKisr5e3t3aDnqh75UD3ZXVZWlubMmaPNmzcrPz/f3sN+8OBBhx/kzpabm6sHH3xQ69ev19GjR1VZWamysrI6RwG7Ckl7M6v+tSY3N1cdOnSwl+fm5qp///41PiYiIkLe3t7nzBCbm5tr319MTIxOnTqlwsJCh1/hz97m7Jleq/d55q9IVhYaGqru3btrz549NdbHxMTU+z5Vl9X2/sfExOjo0aMO+zh9+rQKCgrsjz9zNsng4GCn468vvoY8Jjg4WIGBgfL29nbJ58Pdmut1fvrpp6qoqJCkOr8EDx48WKtXr64z3vrOJ1e8Jqs489z7xS9+0ej2JjY21uE8OnuoaUPU9j5X19W1TUPahpaiOdrB5cuX67e//a3efffdc4aFnu3sdt0T2qvm0tDzztn27Wwtqa1qKlOnTtXHH3+sjRs3qmPHjnVuO3jwYEnSnj17dOGFF7qsPfT19VViYqLDuVK9r8acy3Duvfz73/+un376SdLPx6I2gwcP1l//+leVl5fL39+/3vOrtUpOTtbw4cM1e/bs8+o9b4jdu3crODhY4eHhkqRRo0YpPj5er732mmJjY1VVVaU+ffro1KlTde5n4sSJOnbsmJ5//nnFx8fL399fSUlJ9T7OFbimvZl16dJFMTExWrNmjb2suLhYmzdvdvg19Ux+fn665JJLHB5TVVWlNWvW2B9zySWXyNfX12GbzMxMHTx40L5NUlKSvvvuO4fGe/Xq1QoODnb4hdfKSkpKtHfvXocG9UxJSUkO74H082usfg+cef+TkpJUWFiorVu32rdZu3atqqqq7P+Iu3XrZr+dPeysLvXFdz6PcdXnw92a63XGx8fbj90FF1xQazwZGRm1fs6q463vfHLFa7KKM889V7Q3Pj4+DudRY5L2pKQkbdy40Z6sVD9Xjx491L59e/s2jW0bWoqmbgeXLVumSZMmadmyZbr++uvrjefsdt0T2qvm0tDzztn27Wwtqa1yNWOMpk6dqg8++EBr164951KcmlQn4NWfaVe1h5WVlfruu+/s+3XVuQzn3ssLLrjAfozi4+Nr3VdGRobat28vf39/Sef33a+1WLBggVauXHnO9f29evVSWlqaQ1laWpq6d+/e4F72o0eP6u2339aYMWPk5eWlY8eOKTMzUw8++KCGDRumXr162ee/qVY9R071NfBnxjBt2jSNHDlSvXv3lr+/v/Lz8xsUz3lrlunuWpkTJ06Y7du3m+3btxtJ5plnnjHbt283Bw4cMMb8vKREaGio+eijj8y3335rfvnLX56zpMTQoUPNokWL7PeXL19u/P39TWpqqtm1a5e5++67TWhoqMNMpPfcc4+Ji4sza9euNV9//bVJSkoySUlJ9vrqJUeuvfZak5GRYVatWmUiIyMtveTbzJkzzfr16012drZJS0szKSkpJiIiwhw9erTG7dPS0oyPj4956qmnzO7du83cuXNrXNapvvd/xIgRJjEx0WzevNl8+eWXJiEhwanlUaqP+yWXXGJ+/etfm+3bt5udO3c2KL6zVS8VMmvWLLN7926zePHiGpfiaeznw9XqOw+s9DpTU1PN22+/bXbv3m12795tHnvsMePl5WXeeOONWh/jzPnkqtfkDvWde03V3pSXl9s/Nx06dDAPPPCA2b59u8nKyqr1MYWFhSY6OtrcdtttZseOHWb58uUmKCjonCXfXNE2eApX/B86n3bwrbfeMj4+Pmbx4sUOyx8VFhbat3GmXW/u9soqGnve1Wbnzp1m+/btZtSoUebqq6+2fzaqeXJb1dR+//vfm5CQELN+/XqHz3RZWZkxxpg9e/aYefPmma+//tpkZ2ebjz76yHTt2tUkJyfb93G+7eEjjzxiPv/8c7N3716zdetWc+utt5qAgACH7xVN+Z2mpXFFu3i2FStWmNdee8189913Jisry7z44osmKCjIzJkzx76NM+dXa1HTCha33XabCQgIcJg9fuvWrcbLy8vMmzfPZGZmmtTUVBMYGGiWLFlS675rWvLt9ddfNxdeeKHp2rWrOXz4sDHm55UvwsPDzW9+8xuTlZVl1qxZYy699FKHVQAqKipMYGCgefTRR01OTo79f1hiYqL5xS9+YXbt2mU2bdpkrrzyShMYGOjUSjeNRdLeBNatW3fOUgGSzMSJE40xPy8r8dBDD5no6Gjj7+9vhg0bZjIzMx32ER8fb+bOnetQtmjRIhMXF2f8/PzMoEGDzKZNmxzqf/rpJ3Pvvfea9u3bm6CgIHPjjTeaI0eOOGyzf/9+c91115nAwEATERFhZs6caSoqKlz+HrjKLbfcYjp06GD8/PzMBRdcYG655RaHJRkmTpxoX4ah2jvvvGO6d+9u/Pz8TO/evc0nn3ziUO/M+3/s2DEzfvx407ZtWxMcHGwmTZpkTpw4UW+8NR33+Pj4BsU3d+7ccx6zbt06079/f+Pn52e6du1aY6Plis+HK9V3HljpdaampppevXqZoKAgExwcbAYNGuSwrNKZryc7O9te5sz55IrX5A71nXtN1d5UL7939u3M83zJkiXnLA3zzTffmCuuuML4+/ubCy64wCxYsOCcfbuibfAUrvg/dD7t4FVXXVXn8xpT/2fLmOZvr6zCFeddTeLj42s8Lmfy1LaqqdX0vun/r8ttjDEHDx40ycnJJiwszPj7+5tu3bqZWbNmOazTbsz5tYfTp0+3v9/R0dFm5MiRZtu2bQ7bNOV3mpbGFe3i2T777DPTv39/07ZtW9OmTRvTr18/8/LLL5vKyspznru+86s1qClpz87ONn5+frUu+ebr62vi4uIcluOrSfV3A0nGZrOZkJAQM2jQIDNv3rxzzsfVq1ebXr16GX9/f3PxxReb9evXn7N032uvvWY6depkvLy87N9Btm3bZgYOHGgCAgJMQkKCeffdd51enraxbMacsSYB4GGuuuoqXXPNNXr44YfdHYrLTJw4UTab7byWtfAknvY6lyxZoscff1y7du2q81o2NL25c+dqw4YNWr9+vbtDAQAAaHJMRAePVVRUpL179+qTTz5xdyguY4zR+vXrz5mZtqXxxNf56aef6vHHHydht4DPPvtMf/vb39wdBgAAQLOgpx0AAAAAAIti9ngAAAAAACyKpB0AAAAAAIsiaQcAAAAAwKJI2gEAAAAAsCiSdgAAAAAALIqkHQAAi9m/f79sNpsyMjLcHYrd999/r8suu0wBAQHq37+/u8M5xx133KExY8a4OwwAAFyOpB0AgLPccccdstlsWrBggUP5hx9+KJvN5qao3Gvu3Llq06aNMjMztWbNmhq3qX7fzr6NGDGimaMFAKDlIGkHAKAGAQEBeuKJJ3T8+HF3h+Iyp06dOu/H7t27V1dccYXi4+MVHh5e63YjRozQkSNHHG7Lli077+cFAKC1I2kHAKAGKSkpiomJ0fz582vd5uGHHz5nqPhzzz2nzp072+9XD9t+/PHHFR0drdDQUM2bN0+nT5/WrFmzFBYWpo4dO2rJkiXn7P/777/X5ZdfroCAAPXp00cbNmxwqN+xY4euu+46tW3bVtHR0brtttuUn59vr7/66qs1depUTZ8+XRERERo+fHiNr6Oqqkrz5s1Tx44d5e/vr/79+2vVqlX2epvNpq1bt2revHmy2Wx6+OGHa31P/P39FRMT43Br3769w75eeeUV3XDDDQoKClKvXr2Unp6uPXv26Oqrr1abNm10+eWXa+/evee8z6+88oo6deqkoKAgjRs3TkVFRbXGUV5ermnTpikqKkoBAQG64oortGXLFkmSMUbdunXTU0895fCYjIwM2Ww27dmzR5JUWFio3/72t4qMjFRwcLCGDh2qb775xuExH330kQYMGKCAgAB17dpVjzzyiE6fPm1/nocfflhxcXHy9/dXbGyspk2bVmvMAADUhKQdAIAaeHt76/HHH9eiRYv0448/Nmpfa9eu1eHDh7Vx40Y988wzmjt3rm644Qa1b99emzdv1j333KPf/e535zzPrFmzNHPmTG3fvl1JSUkaNWqUjh07JunnhHLo0KFKTEzU119/rVWrVik3N1fjxo1z2Mebb74pPz8/paWl6eWXX64xvueff15PP/20nnrqKX377bcaPny4Ro8eraysLEnSkSNH1Lt3b82cOVNHjhzRAw880Kj3469//atuv/12ZWRkqGfPnvr1r3+t3/3ud5o9e7a+/vprGWM0depUh8fs2bNH77zzjlauXKlVq1Zp+/btuvfee2t9jj/+8Y9677339Oabb2rbtm3q1q2bhg8froKCAtlsNt15553n/FCyZMkSJScnq1u3bpKkm2++WUePHtVnn32mrVu3asCAARo2bJgKCgokSV988YVuv/123X///dq1a5deeeUVpaam6rHHHpMkvffee3r22Wf1yiuvKCsrSx9++KH69u3bqPcOANAKGQAA4GDixInml7/8pTHGmMsuu8zceeedxhhjPvjgA3Pmv865c+eafv36OTz22WefNfHx8Q77io+PN5WVlfayHj16mCuvvNJ+//Tp06ZNmzZm2bJlxhhjsrOzjSSzYMEC+zYVFRWmY8eO5oknnjDGGPPXv/7VXHvttQ7PfejQISPJZGZmGmOMueqqq0xiYmK9rzc2NtY89thjDmWXXnqpuffee+33+/XrZ+bOnVvnfiZOnGi8vb1NmzZtHG5n7luSefDBB+3309PTjSTz+uuv28uWLVtmAgIC7Pfnzp1rvL29zY8//mgv++yzz4yXl5c5cuSI/bmrj1lJSYnx9fU1b731ln37U6dOmdjYWLNw4UJjjDH//e9/jbe3t9m8ebO9PiIiwqSmphpjjPniiy9McHCwOXnypMNrvPDCC80rr7xijDFm2LBh5vHHH3eo/z//5/+YDh06GGOMefrpp0337t3NqVOn6nzfAACoi49bfzEAAMDinnjiCQ0dOrRRvcu9e/eWl9f/Dm6Ljo5Wnz597Pe9vb0VHh6uo0ePOjwuKSnJ/rePj48GDhyo3bt3S5K++eYbrVu3Tm3btj3n+fbu3avu3btLki655JI6YysuLtbhw4c1ZMgQh/IhQ4acMxTcGddcc41eeuklh7KwsDCH+xdffLH97+joaEly6IGOjo7WyZMnVVxcrODgYElSXFycLrjgAvs2SUlJqqqqUmZmpmJiYhz2v3fvXlVUVDi8Jl9fXw0aNMj+/sXGxur666/XG2+8oUGDBmnlypUqLy/XzTffLOnn97ekpOSc6/d/+ukn+9D9b775RmlpafaedUmqrKzUyZMnVVZWpptvvlnPPfecunbtqhEjRmjkyJEaNWqUfHz4+gUAcB7/NQAAqENycrKGDx+u2bNn64477nCo8/LykjHGoayiouKcffj6+jrct9lsNZZVVVU5HVdJSYlGjRqlJ5544py6Dh062P9u06aN0/t0hTZt2tiHl9fmzNdePRt/TWUNeT/Ox29/+1vddtttevbZZ7VkyRLdcsstCgoKkvTz+9uhQwetX7/+nMeFhobat3nkkUd00003nbNNQECAOnXqpMzMTP373//W6tWrde+99+rJJ5/Uhg0bzjn+AADUhqQdAIB6LFiwQP3791ePHj0cyiMjI5WTkyNjjD3RdOXa6ps2bVJycrIk6fTp09q6dav9Wu8BAwbovffeU+fOnRvVcxscHKzY2FilpaXpqquuspenpaVp0KBBjXsBLnTw4EEdPnxYsbGxkn5+b7y8vM45JpJ04YUX2q/jj4+Pl/TzjylbtmzR9OnT7duNHDlSbdq00UsvvaRVq1Zp48aN9roBAwYoJydHPj4+DhMLnmnAgAHKzMys80eKwMBAjRo1SqNGjdKUKVPUs2dPfffddxowYMB5vAsAgNaIpB0AgHr07dtXEyZM0AsvvOBQfvXVVysvL08LFy7Ur371K61atUqfffaZfUh3Yy1evFgJCQnq1auXnn32WR0/flx33nmnJGnKlCl67bXXNH78eP3xj39UWFiY9uzZo+XLl+vvf/+7vL29nX6eWbNmae7cubrwwgvVv39/LVmyRBkZGXrrrbcaHHN5eblycnIcynx8fBQREdHgfZ0pICBAEydO1FNPPaXi4mJNmzZN48aNO2dovPRzb//vf/97++z8cXFxWrhwocrKyjR58mT7dt7e3rrjjjs0e/ZsJSQkOFyOkJKSoqSkJI0ZM0YLFy5U9+7ddfjwYX3yySe68cYbNXDgQM2ZM0c33HCD4uLi9Ktf/UpeXl765ptvtGPHDj366KNKTU1VZWWlBg8erKCgIP3jH/9QYGCg/YcEAACcwezxAAA4Yd68eecM1+7Vq5defPFFLV68WP369dNXX33V6JnVz7RgwQItWLBA/fr105dffqkVK1bYk9/q3vHKykpde+216tu3r6ZPn67Q0FCH6+edMW3aNM2YMUMzZ85U3759tWrVKq1YsUIJCQkNjnnVqlXq0KGDw+2KK65o8H7O1q1bN910000aOXKkrr32Wl188cV68cUXa91+wYIFGjt2rG677TYNGDBAe/bs0eeff+6w/JwkTZ48WadOndKkSZMcym02mz799FMlJydr0qRJ6t69u2699VYdOHDAfh3+8OHD9fHHH+tf//qXLr30Ul122WV69tln7Ul5aGioXnvtNQ0ZMkQXX3yx/v3vf2vlypV1rnMPAMDZbObsi/EAAAAs5OGHH9aHH37o0ksPqn3xxRcaNmyYDh06ZE/GAQCwEobHAwCAVqe8vFx5eXl6+OGHdfPNN5OwAwAsi+HxAACg1Vm2bJni4+NVWFiohQsXujscAABqxfB4AAAAAAAsip52AAAAAAAsiqQdAAAAAACLImkHAAAAAMCiSNoBAAAAALAoknYAAAAAACyKpB0AAAAAAIsiaQcAAAAAwKJI2gEAAAAAsCiSdgAAAAAALOr/AaXyPxEp7PpOAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.scatter(x=\"Number of Employees\", y=\"Valuation ($B) \", figsize=(12, 4))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}