1. Sugarcane production project.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 165,
   "id": "fa98cfa6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "id": "5547ca14",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Production (Tons)</th>\n",
       "      <th>Production per Person (Kg)</th>\n",
       "      <th>Acreage (Hectare)</th>\n",
       "      <th>Yield (Kg / Hectare)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768.678.382</td>\n",
       "      <td>3.668,531</td>\n",
       "      <td>10.226.205</td>\n",
       "      <td>75.167,5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348.448.000</td>\n",
       "      <td>260721</td>\n",
       "      <td>4.950.000</td>\n",
       "      <td>70.393,5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123.059.739</td>\n",
       "      <td>88287</td>\n",
       "      <td>1.675.215</td>\n",
       "      <td>73.459,1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87.468.496</td>\n",
       "      <td>1.264,303</td>\n",
       "      <td>1.336.575</td>\n",
       "      <td>65.442,2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65.450.704</td>\n",
       "      <td>324219</td>\n",
       "      <td>1.130.820</td>\n",
       "      <td>57.879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0   Country      Continent Production (Tons)  \\\n",
       "0           0    Brazil  South America       768.678.382   \n",
       "1           1     India           Asia       348.448.000   \n",
       "2           2     China           Asia       123.059.739   \n",
       "3           3  Thailand           Asia        87.468.496   \n",
       "4           4  Pakistan           Asia        65.450.704   \n",
       "\n",
       "  Production per Person (Kg) Acreage (Hectare) Yield (Kg / Hectare)  \n",
       "0                  3.668,531        10.226.205             75.167,5  \n",
       "1                     260721         4.950.000             70.393,5  \n",
       "2                      88287         1.675.215             73.459,1  \n",
       "3                  1.264,303         1.336.575             65.442,2  \n",
       "4                     324219         1.130.820               57.879  "
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('List of Countries by Sugarcane Production.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "id": "0f54765c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 7)"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bc97de1",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "cea0739a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#we have to remove . with , as a data cannot have more than 1 .\n",
    "\n",
    "# we use replace function\n",
    "\n",
    "df[\"Production (Tons)\"] = df[\"Production (Tons)\"].str.replace(\".\",\"\")\n",
    "df[\"Production per Person (Kg)\"] = df[\"Production per Person (Kg)\"].str.replace(\".\",\"\").str.replace(\",\",\".\")\n",
    "df[\"Acreage (Hectare)\"] = df[\"Acreage (Hectare)\"].str.replace(\".\",\"\")\n",
    "df[\"Yield (Kg / Hectare)\"]= df[\"Yield (Kg / Hectare)\"].str.replace(\".\",\"\").str.replace(\",\",\".\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "b94bcdf9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Production (Tons)</th>\n",
       "      <th>Production per Person (Kg)</th>\n",
       "      <th>Acreage (Hectare)</th>\n",
       "      <th>Yield (Kg / Hectare)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205</td>\n",
       "      <td>75167.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000</td>\n",
       "      <td>70393.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215</td>\n",
       "      <td>73459.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575</td>\n",
       "      <td>65442.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820</td>\n",
       "      <td>57879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0   Country      Continent Production (Tons)  \\\n",
       "0           0    Brazil  South America         768678382   \n",
       "1           1     India           Asia         348448000   \n",
       "2           2     China           Asia         123059739   \n",
       "3           3  Thailand           Asia          87468496   \n",
       "4           4  Pakistan           Asia          65450704   \n",
       "\n",
       "  Production per Person (Kg) Acreage (Hectare) Yield (Kg / Hectare)  \n",
       "0                   3668.531          10226205              75167.5  \n",
       "1                     260721           4950000              70393.5  \n",
       "2                      88287           1675215              73459.1  \n",
       "3                   1264.303           1336575              65442.2  \n",
       "4                     324219           1130820                57879  "
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "id": "be344f50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# there is gap in bn the words and () so we will replace it and inplace true to make the changes permanent\n",
    "df.rename(columns={'Production (Tons)':'Production(Tons)'},inplace=True)\n",
    "df.rename(columns={'Production per Person (Kg)':'Production_per_Person(Kg)'},inplace=True)\n",
    "df.rename(columns={'Acreage (Hectare)':'Acreage(Hectare)'},inplace=True)\n",
    "df.rename(columns={'Yield (Kg / Hectare)':'Yield(Kg / Hectare)'},inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "8d99f145",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205</td>\n",
       "      <td>75167.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000</td>\n",
       "      <td>70393.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215</td>\n",
       "      <td>73459.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575</td>\n",
       "      <td>65442.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820</td>\n",
       "      <td>57879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0   Country      Continent Production(Tons)  \\\n",
       "0           0    Brazil  South America        768678382   \n",
       "1           1     India           Asia        348448000   \n",
       "2           2     China           Asia        123059739   \n",
       "3           3  Thailand           Asia         87468496   \n",
       "4           4  Pakistan           Asia         65450704   \n",
       "\n",
       "  Production_per_Person(Kg) Acreage(Hectare) Yield(Kg / Hectare)  \n",
       "0                  3668.531         10226205             75167.5  \n",
       "1                    260721          4950000             70393.5  \n",
       "2                     88287          1675215             73459.1  \n",
       "3                  1264.303          1336575             65442.2  \n",
       "4                    324219          1130820               57879  "
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "e22fe639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                   0\n",
       "Country                      0\n",
       "Continent                    0\n",
       "Production(Tons)             0\n",
       "Production_per_Person(Kg)    0\n",
       "Acreage(Hectare)             1\n",
       "Yield(Kg / Hectare)          1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check if there is any null value\n",
    "\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "d2cb9b96",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>99</td>\n",
       "      <td>Djibouti</td>\n",
       "      <td>Africa</td>\n",
       "      <td>53</td>\n",
       "      <td>51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    Unnamed: 0   Country Continent Production(Tons) Production_per_Person(Kg)  \\\n",
       "99          99  Djibouti    Africa               53                        51   \n",
       "\n",
       "   Acreage(Hectare) Yield(Kg / Hectare)  \n",
       "99              NaN                 NaN  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
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    }
   ],
   "source": [
    "# we have onlyh 1 null value in last 2 column with the single row so we can remove that ro\n",
    "\n",
    "df[df['Acreage(Hectare)'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "cec51970",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.dropna().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "id": "f87a84a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205</td>\n",
       "      <td>75167.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000</td>\n",
       "      <td>70393.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215</td>\n",
       "      <td>73459.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575</td>\n",
       "      <td>65442.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820</td>\n",
       "      <td>57879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  Unnamed: 0   Country      Continent Production(Tons)  \\\n",
       "0      0           0    Brazil  South America        768678382   \n",
       "1      1           1     India           Asia        348448000   \n",
       "2      2           2     China           Asia        123059739   \n",
       "3      3           3  Thailand           Asia         87468496   \n",
       "4      4           4  Pakistan           Asia         65450704   \n",
       "\n",
       "  Production_per_Person(Kg) Acreage(Hectare) Yield(Kg / Hectare)  \n",
       "0                  3668.531         10226205             75167.5  \n",
       "1                    260721          4950000             70393.5  \n",
       "2                     88287          1675215             73459.1  \n",
       "3                  1264.303          1336575             65442.2  \n",
       "4                    324219          1130820               57879  "
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "19442420",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['Unnamed: 0','index'] , axis=1 ,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "id": "8e369b66",
   "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>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205</td>\n",
       "      <td>75167.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000</td>\n",
       "      <td>70393.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215</td>\n",
       "      <td>73459.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575</td>\n",
       "      <td>65442.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820</td>\n",
       "      <td>57879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country      Continent Production(Tons) Production_per_Person(Kg)  \\\n",
       "0    Brazil  South America        768678382                  3668.531   \n",
       "1     India           Asia        348448000                    260721   \n",
       "2     China           Asia        123059739                     88287   \n",
       "3  Thailand           Asia         87468496                  1264.303   \n",
       "4  Pakistan           Asia         65450704                    324219   \n",
       "\n",
       "  Acreage(Hectare) Yield(Kg / Hectare)  \n",
       "0         10226205             75167.5  \n",
       "1          4950000             70393.5  \n",
       "2          1675215             73459.1  \n",
       "3          1336575             65442.2  \n",
       "4          1130820               57879  "
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "id": "438dcae4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                       object\n",
       "Continent                     object\n",
       "Production(Tons)             float64\n",
       "Production_per_Person(Kg)     object\n",
       "Acreage(Hectare)             float64\n",
       "Yield(Kg / Hectare)          float64\n",
       "Production per Person(Kg)    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "id": "0d043e07",
   "metadata": {},
   "outputs": [],
   "source": [
    "# to do any mathematical operation it should be changed to floating number -data type correction\n",
    "df['Production(Tons)']=df['Production(Tons)'].astype(float)\n",
    "df['Production_per_Person(Kg)']=df['Production_per_Person(Kg)'].astype(float)\n",
    "df['Acreage(Hectare)']=df['Acreage(Hectare)'].astype(float)\n",
    "df['Yield(Kg / Hectare)']=df['Yield(Kg / Hectare)'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "15300998",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                       object\n",
       "Continent                     object\n",
       "Production(Tons)             float64\n",
       "Production_per_Person(Kg)    float64\n",
       "Acreage(Hectare)             float64\n",
       "Yield(Kg / Hectare)          float64\n",
       "Production per Person(Kg)    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "8eca99ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                      102\n",
       "Continent                      6\n",
       "Production(Tons)             102\n",
       "Production_per_Person(Kg)    101\n",
       "Acreage(Hectare)             101\n",
       "Yield(Kg / Hectare)          102\n",
       "Production per Person(Kg)    101\n",
       "dtype: int64"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6020db2",
   "metadata": {},
   "source": [
    "# ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5729d9a6",
   "metadata": {},
   "source": [
    "## Univariate Analysis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "20282b4b",
   "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>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382.0</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205.0</td>\n",
       "      <td>75167.5</td>\n",
       "      <td>3668.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000.0</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000.0</td>\n",
       "      <td>70393.5</td>\n",
       "      <td>260721.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739.0</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215.0</td>\n",
       "      <td>73459.1</td>\n",
       "      <td>88287.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496.0</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575.0</td>\n",
       "      <td>65442.2</td>\n",
       "      <td>1264.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704.0</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820.0</td>\n",
       "      <td>57879.0</td>\n",
       "      <td>324219.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country      Continent  Production(Tons) Production_per_Person(Kg)  \\\n",
       "0    Brazil  South America       768678382.0                  3668.531   \n",
       "1     India           Asia       348448000.0                    260721   \n",
       "2     China           Asia       123059739.0                     88287   \n",
       "3  Thailand           Asia        87468496.0                  1264.303   \n",
       "4  Pakistan           Asia        65450704.0                    324219   \n",
       "\n",
       "   Acreage(Hectare)  Yield(Kg / Hectare)  Production per Person(Kg)  \n",
       "0        10226205.0              75167.5                   3668.531  \n",
       "1         4950000.0              70393.5                 260721.000  \n",
       "2         1675215.0              73459.1                  88287.000  \n",
       "3         1336575.0              65442.2                   1264.303  \n",
       "4         1130820.0              57879.0                 324219.000  "
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8c1fbd9",
   "metadata": {},
   "source": [
    "### How many countries produce sugarcane from each continent?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "6c518fc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Continent\n",
       "Africa           38\n",
       "Asia             25\n",
       "North America    22\n",
       "South America    11\n",
       "Oceania           4\n",
       "Europe            2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Continent'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "d5daedf1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Continent'>"
      ]
     },
     "execution_count": 184,
     "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['Continent'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "f30e7b4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\pooja\\AppData\\Local\\Temp\\ipykernel_15388\\622055804.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(df['Production(Tons)'])\n",
      "C:\\Users\\pooja\\AppData\\Local\\Temp\\ipykernel_15388\\622055804.py:5: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(df['Production_per_Person(Kg)'])\n",
      "C:\\Users\\pooja\\AppData\\Local\\Temp\\ipykernel_15388\\622055804.py:7: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(df['Acreage(Hectare)'])\n",
      "C:\\Users\\pooja\\AppData\\Local\\Temp\\ipykernel_15388\\622055804.py:9: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(df['Yield(Kg / Hectare)'])\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Yield(Kg / Hectare)', ylabel='Density'>"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,2,1)\n",
    "sns.distplot(df['Production(Tons)'])\n",
    "plt.subplot(2,2,2)\n",
    "sns.distplot(df['Production_per_Person(Kg)'])\n",
    "plt.subplot(2,2,3)\n",
    "sns.distplot(df['Acreage(Hectare)'])\n",
    "plt.subplot(2,2,4)\n",
    "sns.distplot(df['Yield(Kg / Hectare)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "0a138ed6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to analyse outliers \n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.subplot(2,2,1)\n",
    "sns.boxplot(df['Production(Tons)'])\n",
    "plt.subplot(2,2,2)\n",
    "sns.boxplot(df['Production_per_Person(Kg)'])\n",
    "plt.subplot(2,2,3)\n",
    "sns.boxplot(df['Acreage(Hectare)'])\n",
    "plt.subplot(2,2,4)\n",
    "sns.boxplot(df['Yield(Kg / Hectare)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "1ebd4e4b",
   "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>Production(Tons)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.020000e+02</td>\n",
       "      <td>1.020000e+02</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.850372e+07</td>\n",
       "      <td>2.498981e+05</td>\n",
       "      <td>52628.078431</td>\n",
       "      <td>112952.435755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.419149e+07</td>\n",
       "      <td>1.137003e+06</td>\n",
       "      <td>30504.676683</td>\n",
       "      <td>176651.341929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.251875e+04</td>\n",
       "      <td>1.104000e+03</td>\n",
       "      <td>29072.025000</td>\n",
       "      <td>3671.910000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.440044e+06</td>\n",
       "      <td>1.655800e+04</td>\n",
       "      <td>54108.950000</td>\n",
       "      <td>25572.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.426824e+06</td>\n",
       "      <td>8.047400e+04</td>\n",
       "      <td>73282.700000</td>\n",
       "      <td>146384.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.686784e+08</td>\n",
       "      <td>1.022620e+07</td>\n",
       "      <td>129049.300000</td>\n",
       "      <td>951087.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Production(Tons)  Acreage(Hectare)  Yield(Kg / Hectare)  \\\n",
       "count      1.020000e+02      1.020000e+02           102.000000   \n",
       "mean       1.850372e+07      2.498981e+05         52628.078431   \n",
       "std        8.419149e+07      1.137003e+06         30504.676683   \n",
       "min        1.000000e+00      0.000000e+00            10.000000   \n",
       "25%        6.251875e+04      1.104000e+03         29072.025000   \n",
       "50%        1.440044e+06      1.655800e+04         54108.950000   \n",
       "75%        6.426824e+06      8.047400e+04         73282.700000   \n",
       "max        7.686784e+08      1.022620e+07        129049.300000   \n",
       "\n",
       "       Production per Person(Kg)  \n",
       "count                 102.000000  \n",
       "mean               112952.435755  \n",
       "std                176651.341929  \n",
       "min                     0.000000  \n",
       "25%                  3671.910000  \n",
       "50%                 25572.500000  \n",
       "75%                146384.750000  \n",
       "max                951087.000000  "
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14a194da",
   "metadata": {},
   "source": [
    "## Bivariate analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "f342c284",
   "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>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382.0</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205.0</td>\n",
       "      <td>75167.5</td>\n",
       "      <td>3668.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000.0</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000.0</td>\n",
       "      <td>70393.5</td>\n",
       "      <td>260721.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739.0</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215.0</td>\n",
       "      <td>73459.1</td>\n",
       "      <td>88287.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496.0</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575.0</td>\n",
       "      <td>65442.2</td>\n",
       "      <td>1264.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704.0</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820.0</td>\n",
       "      <td>57879.0</td>\n",
       "      <td>324219.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country      Continent  Production(Tons) Production_per_Person(Kg)  \\\n",
       "0    Brazil  South America       768678382.0                  3668.531   \n",
       "1     India           Asia       348448000.0                    260721   \n",
       "2     China           Asia       123059739.0                     88287   \n",
       "3  Thailand           Asia        87468496.0                  1264.303   \n",
       "4  Pakistan           Asia        65450704.0                    324219   \n",
       "\n",
       "   Acreage(Hectare)  Yield(Kg / Hectare)  Production per Person(Kg)  \n",
       "0        10226205.0              75167.5                   3668.531  \n",
       "1         4950000.0              70393.5                 260721.000  \n",
       "2         1675215.0              73459.1                  88287.000  \n",
       "3         1336575.0              65442.2                   1264.303  \n",
       "4         1130820.0              57879.0                 324219.000  "
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eb04e92",
   "metadata": {},
   "source": [
    "#### Which country produces maximum sugarcane?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "id": "b7d3a196",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new=df[['Country','Production(Tons)']].set_index(\"Country\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "3852f0fc",
   "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>Production(Tons)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>768678382.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>348448000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>123059739.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>87468496.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistan</th>\n",
       "      <td>65450704.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Production(Tons)\n",
       "Country                   \n",
       "Brazil         768678382.0\n",
       "India          348448000.0\n",
       "China          123059739.0\n",
       "Thailand        87468496.0\n",
       "Pakistan        65450704.0"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "31ab4813",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new['Production(Tons)_percent']=df_new['Production(Tons)']*100/df_new['Production(Tons)'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "id": "cc7e4914",
   "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>Production(Tons)</th>\n",
       "      <th>Production(Tons)_percent</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>768678382.0</td>\n",
       "      <td>40.727285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>348448000.0</td>\n",
       "      <td>18.462001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>China</th>\n",
       "      <td>123059739.0</td>\n",
       "      <td>6.520138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>87468496.0</td>\n",
       "      <td>4.634389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakistan</th>\n",
       "      <td>65450704.0</td>\n",
       "      <td>3.467809</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Production(Tons)  Production(Tons)_percent\n",
       "Country                                             \n",
       "Brazil         768678382.0                 40.727285\n",
       "India          348448000.0                 18.462001\n",
       "China          123059739.0                  6.520138\n",
       "Thailand        87468496.0                  4.634389\n",
       "Pakistan        65450704.0                  3.467809"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "id": "fafe7599",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Production(Tons)_percent'>"
      ]
     },
     "execution_count": 200,
     "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_new['Production(Tons)_percent'].plot(kind='pie' , autopct='%0.2f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "dc5fd69d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Country'>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fAIA74YgFAAAwDcUCAACYhmIBAABMQ7EAAACmoVgAAADTUCwAAIBpKBYAAMA0FAsAAGAaigUAADANxQIAAJiGYgEAAExDsQAAAKahWAAAANNQLAAAgGkoFgAAwDQUCwAAYBqKBQAAMA3FAgAAmMalYjFx4kRVrVpVvr6+8vX1VZ06dfTzzz9nVjYAAGAzLhWLYsWKafTo0dq2bZu2bdumhg0bqlWrVtq7d29m5QMAADaSzZWdW7Zsmer+iBEjNHHiRG3ZskWVKlUyNRgAALAfl4rFzZKTk7V48WIlJCSoTp06t9wvKSlJSUlJzvvx8fF3+5IAAMDNuTx4c/fu3cqTJ4+8vb3VtWtXLV26VBUrVrzl/qNGjZKfn5/zFhgYeE+BAQCA+3K5WJQrV047d+7Uli1b9NZbb6l9+/bat2/fLfcfMGCA4uLinLeYmJh7CgwAANyXy6dCvLy8VLp0aUlSjRo1FBYWpnHjxumrr75Kd39vb295e3vfW0oAAGAL9zyPhWEYqcZQAACAB5dLRyz+7//+T82aNVNgYKAuXbqkBQsWaO3atVq+fHlm5QMAADbiUrE4ffq0Xn/9dZ08eVJ+fn6qWrWqli9friZNmmRWPgAAYCMuFYupU6dmVg4AAJAFsFYIAAAwDcUCAACYhmIBAABMQ7EAAACmoVgAAADTUCwAAIBpKBYAAMA0FAsAAGAaigUAADANxQIAAJiGYgEAAExDsQAAAKahWAAAANNQLAAAgGkoFgAAwDQUCwAAYBqKBQAAMA3FAgAAmIZiAQAATEOxAAAApqFYAAAA01AsAACAaSgWAADANBQLAABgGooFAAAwDcUCAACYhmIBAABMQ7EAAACmoVgAAADTUCwAAIBpKBYAAMA0FAsAAGAaigUAADANxQIAAJiGYgEAAEzjUrEYNWqUatasKR8fHxUuXFjPPvusDhw4kFnZAACAzbhULNatW6fu3btry5YtWrVqla5du6amTZsqISEhs/IBAAAbyebKzsuXL091f/r06SpcuLC2b9+uxx9/PN3nJCUlKSkpyXk/Pj7+LmICAAA7uKcxFnFxcZKk/Pnz33KfUaNGyc/Pz3kLDAy8l5cEAABu7K6LhWEYCg0N1b/+9S9Vrlz5lvsNGDBAcXFxzltMTMzdviQAAHBzLp0KuVmPHj0UERGhDRs23HY/b29veXt73+3LAAAAG7mrYtGzZ099//33Wr9+vYoVK2Z2JgAAYFMuFQvDMNSzZ08tXbpUa9euVYkSJTIrFwAAsCGXikX37t01b948fffdd/Lx8dGpU6ckSX5+fsqZM2emBAQAAPbh0uDNiRMnKi4uTvXr15e/v7/ztnDhwszKBwAAbMTlUyEAAAC3wlohAADANBQLAABgGooFAAAwDcUCAACYhmIBAABMQ7EAAACmoVgAAADTUCwAAIBpKBYAAMA0FAsAAGAaigUAADANxQIAAJiGYgEAAExDsQAAAKahWAAAANNQLAAAgGkoFgAAwDQUCwAAYBqKBQAAMA3FAgAAmIZiAQAATEOxAAAApqFYAAAA01AsAACAaSgWAADANBQLAABgGooFAAAwDcUCAACYJpvVAWAvwf1/zPTX+GN080x/DQBA5uCIBQAAMA3FAgAAmIZiAQAATEOxAAAApqFYAAAA07hcLNavX6+WLVsqICBADodDy5Yty4RYAADAjlwuFgkJCXr44Yc1YcKEzMgDAABszOV5LJo1a6ZmzZplRhYAAGBzmT5BVlJSkpKSkpz34+PjM/slAQCARTJ98OaoUaPk5+fnvAUGBmb2SwIAAItkerEYMGCA4uLinLeYmJjMfkkAAGCRTD8V4u3tLW9v78x+GQAA4AaYxwIAAJjG5SMWf/31lw4fPuy8f/ToUe3cuVP58+dX8eLFTQ0HAADsxeVisW3bNjVo0MB5PzQ0VJLUvn17zZgxw7RgAADAflwuFvXr15dhGJmRBbhvgvv/mOmv8cfo5pn+GgDgbhhjAQAATEOxAAAApqFYAAAA01AsAACAaSgWAADANBQLAABgGooFAAAwDcUCAACYhmIBAABMk+mrmwLIHMweCsAdccQCAACYhmIBAABMQ7EAAACmYYwFAEsxVgTIWjhiAQAATEOxAAAApqFYAAAA01AsAACAaSgWAADANBQLAABgGooFAAAwDcUCAACYhgmyAMAEmT3RF5N8wS4oFgAAScyCCnNQLAAAWQoFyVoUCwAA3IydyxGDNwEAgGkoFgAAwDQUCwAAYBqKBQAAMA3FAgAAmIZiAQAATEOxAAAApqFYAAAA01AsAACAae6qWHz55ZcqUaKEcuTIoUceeUS//fab2bkAAIANuVwsFi5cqLffflvvv/++wsPD9dhjj6lZs2aKjo7OjHwAAMBGXC4Wn376qd544w117txZFSpU0NixYxUYGKiJEydmRj4AAGAjLi1CduXKFW3fvl39+/dPtb1p06batGlTus9JSkpSUlKS835cXJwkKT4+PsOvm5KU6ErMu+JKnruV2e8jK7wHifeRUVnhPUi8j4zKCu9B4n1klDu+hxv7G4Zx+x0NFxw/ftyQZGzcuDHV9hEjRhhly5ZN9zmDBw82JHHjxo0bN27cssAtJibmtl3hrpZNdzgcqe4bhpFm2w0DBgxQaGio835KSopiY2NVoECBWz7nXsTHxyswMFAxMTHy9fU1/evfL7wP95EV3oOUNd5HVngPEu/DnWSF9yDdn/dhGIYuXbqkgICA2+7nUrEoWLCgPD09derUqVTbz5w5o4ceeijd53h7e8vb2zvVtrx587rysnfF19fX1t8kN/A+3EdWeA9S1ngfWeE9SLwPd5IV3oOU+e/Dz8/vjvu4NHjTy8tLjzzyiFatWpVq+6pVq1S3bl3X0gEAgCzH5VMhoaGhev3111WjRg3VqVNHkydPVnR0tLp27ZoZ+QAAgI24XCxefvllnT9/XkOHDtXJkydVuXJl/fTTTwoKCsqMfC7z9vbW4MGD05x+sRveh/vICu9ByhrvIyu8B4n34U6ywnuQ3Ot9OIw7XjcCAACQMawVAgAATEOxAAAApqFYAAAA01AsAACAaSgWAADANHc1pTeQ1bRu3TrD+y5ZsiQTkwBAxiQkJGjdunWKjo7WlStXUj3Wq1cvi1JRLJAJ3PWb/XZunqbWMAwtXbpUfn5+qlGjhiRp+/btunjxoksFBEhPYmJiuj8bVatWtSiR6/bt25fue3jmmWcsSuQ6O35O3Sw8PFxPP/20EhMTlZCQoPz58+vcuXPKlSuXChcubOl7YB4LmOpO3+xHjhyxOuId9evXT7GxsZo0aZI8PT0lScnJyerWrZt8fX310UcfWZzQNRcvXtTWrVt15swZpaSkpHqsXbt2FqVy3cWLFzV16lRFRkbK4XCoQoUKeuONNzK0doE7OHv2rDp27Kiff/453ceTk5PvcyLXHTlyRM8995x2794th8PhXD77xoKSdngPUtb4nKpfv77Kli2riRMnKm/evNq1a5eyZ8+u1157Tb1797b0jyBbF4uQkJAMr5C6Y8eOTE5jjm+++UaLFi1Kt0Xb4T248zd7RhUqVEgbNmxQuXLlUm0/cOCA6tatq/Pnz1uUzHU//PCD2rZtq4SEBPn4+KT6eXE4HIqNjbUwXcZt27ZNTz75pHLmzKlatWrJMAxt27ZNly9f1sqVK1W9enWrI95R27Zt9ccff2js2LFq0KCBli5dqtOnT2v48OH65JNP1Lx5c6sj3lHLli3l6empKVOmqGTJktq6davOnz+vd955Rx9//LEee+wxqyNmSFb4nMqbN69+//13lStXTnnz5tXmzZtVoUIF/f7772rfvr32799vWTZbnwp59tlnrY5gqvHjx+v9999X+/bt9d1336ljx46KiopSWFiYunfvbnW8DNm5c6e++uoreXp6ytPTU0lJSSpZsqTGjBmj9u3b2+IH9tq1a4qMjExTLCIjI9P8xe/u3nnnHXXq1EkjR45Urly5rI5z1/r06aNnnnlGU6ZMUbZs1z+2rl27ps6dO+vtt9/W+vXrLU54Z2vWrNF3332nmjVrysPDQ0FBQWrSpIl8fX01atQoWxSLzZs3a82aNSpUqJA8PDzk4eGhf/3rXxo1apR69eql8PBwqyNmSFb4nMqePbvzD4WHHnpI0dHRqlChgvz8/BQdHW1pNlsXi8GDB1sdwVRffvmlJk+erDZt2mjmzJnq27evSpYsqUGDBtnmL0t3/mbPqI4dO6pTp046fPiwateuLUnasmWLRo8erY4dO1qczjXHjx9Xr169bF0qpOtHLG4uFZKULVs29e3b1zkOxt0lJCSocOHCkqT8+fPr7NmzKlu2rKpUqWKLo5HS9VMdefLkkSQVLFhQJ06cULly5RQUFKQDBw5YnC7jssLnVEhIiLZt26ayZcuqQYMGGjRokM6dO6fZs2erSpUqlmazdbHIaqKjo53Lz+fMmVOXLl2SJL3++uuqXbu2JkyYYGW8DHHnb/aM+vjjj1WkSBF99tlnOnnypCTJ399fffv21TvvvGNxOtc8+eST2rZtm0qWLGl1lHvi6+ur6OholS9fPtX2mJgY+fj4WJTKNeXKldOBAwcUHBysatWq6auvvlJwcLAmTZokf39/q+NlSOXKlRUREaGSJUvq0Ucf1ZgxY+Tl5aXJkyfb6nssK3xOjRw50vk7YtiwYWrfvr3eeustlS5dWtOmTbM2nGFj+fLlM86ePWsYhmHkzZvXyJcv3y1vdlCiRAlj+/bthmEYRo0aNYxJkyYZhmEYK1assM17CAsLM9asWWMYhmGcOXPGaNasmeHj42OEhIQYO3futDid6+Li4oy4uDirY9y1r7/+2ihevLgxePBg45tvvjG+++67VDe76Nmzp1GsWDFjwYIFRnR0tBETE2PMnz/fKFasmNG7d2+r42XInDlzjOnTpxuGYRg7duwwChUqZHh4eBg5cuQwFixYYG24DFq+fLnx7bffGoZhGFFRUUaFChUMh8NhFCxY0Fi9erXF6TIuq31OuRtbD96cOXOmXnnlFXl7e2vGjBm3HcjZvn37+5js7nTu3FmBgYEaPHiwJk2apNDQUNWrV0/btm1T69atNXXqVKsjwmY8PG49B57D4bDNKP4rV67ovffe06RJk3Tt2jVJ1w9nv/XWWxo9erRbLBXtqsTERO3fv1/FixdXwYIFrY5z12JjY5UvX74MD6SHOY4ePapr166pTJkyqbYfOnRI2bNnV3BwsDXBZPOrQrKalJQUpaSkOM8jL1q0SBs2bFDp0qXVtWtXeXl5WZzwwXD69Gm9++67Wr16tc6cOaN//ojY5ZdxVpSYmKioqCgZhqHSpUvbfuwIcLeeeOIJderUKc0fzXPmzNHXX3+ttWvXWhNMWahYNGzYUE888USaAZ0XLlzQ888/rzVr1liU7MGSFX4pN2vWTNHR0erRo4f8/f3T/CXWqlUri5I9uOLi4pScnKz8+fOn2h4bG6ts2bLJ19fXomS3FxoaqmHDhil37twKDQ297b6ffvrpfUrlmtatW2vGjBny9fW949US7jwrbVabnsDX11c7duxQ6dKlU20/fPiwatSooYsXL1oTTFlo8ObatWu1e/duhYeHa+7cucqdO7ek64dQ161bZ3G6W4uIiFDlypXl4eGhiIiI2+5rh5n5OnTooOjoaA0cODDdX8p2sGHDBv3222+qVq2a1VFMYfcZBiXplVdeUcuWLdWtW7dU2xctWqTvv/9eP/30k0XJbi88PFxXr151/vetuPPPiZ+fnzOfXSYjS09Wm57A4XA4B2/e7EYJt1KWOWLh4eGh8PBwdenSRQkJCfrhhx8UHBys06dPKyAgwPL/0bfi4eGhU6dOqXDhwvLw8Eg1m93N7HI+3MfHx/a/lCtWrKi5c+cqJCTE6ij3LCvMMChdvzxz48aNqlChQqrt+/fvV7169Ww1aRlghhYtWihXrlyaP39+qhmCX375ZSUkJNxyhtf7IcscsZCuXxK4bt06derUSTVr1tTixYvTfBC5m6NHj6pQoULO/7a7wMDAdIuRnYwdO1b9+/d3Xg5oZ3369FHLli2dMwxu2bIl1QyDdpGUlOQctHmzq1ev6vLlyxYkujcxMTFyOBwqVqyY1VFgU2PGjNHjjz+ucuXKOWc8/e233xQfH2/5qf8sc8TC09NTJ0+edE5AM3z4cA0fPlz9+vXT8OHDbfHXflawcuVKffLJJ7b+pZwvXz4lJibq2rVrypUrl7Jnz57qcbtMVia597S/rqhfv76qVKmizz//PNX27t27KyIiQr/99ptFyTLu2rVrGjJkiMaPH6+//vpLkpQnTx717NlTgwcPTvN95i6y2tgE6fpf9p999tktl0+wy8/4iRMnNGHCBO3atUs5c+ZU1apV1aNHjzRjke63LHPE4p/96D//+Y8qVKjg9peZfv/99xne1w4rB7788stKTExUqVKlbPtLeezYsVZHME1WmGFQkkaMGKHGjRtr165datSokSRp9erVCgsL08qVKy1OlzE9evTQ0qVLNWbMGNWpU0fS9SmyP/jgA507d06TJk2yOGH6strYBEkaMmSIvv76a4WGhmrgwIF6//339ccff2jZsmUaNGiQ1fEyLCAgQCNHjrQ6RhpZ5ojFsWPHVLx48TTNes+ePdq+fbvbFox/zjPwzzEWN78fOxx1mTlz5m0fd9d/h6yqadOm6tChg1599VV17dpV4eHh6tWrl2bPnq0LFy7o999/tzpihu3cuVMfffSRdu7c6fzrbMCAAWmu43dXfn5+WrBggZo1a5Zq+88//6xXXnlFcXFxFiV78JQqVUrjx49X8+bN5ePjo507dzq3bdmyRfPmzbM6YrpsM9j/Pk/IhdtYtWqVUb16dWP58uVGXFycER8fbyxfvtyoUaOGsXLlSqvjPZASExOds2/acRbO280wGB4ebm24B0zhwoWNffv2pdm+b98+o2DBghYkenDlypXLOHbsmGEYhlGkSBHnjMdRUVGGr6+vldFuy+FwGKdPn3b+t4eHh+FwONLcPDw8LM2ZZU6FSFJYWJgWL16c7jkzd76++oa3335bkyZN0r/+9S/ntieffFK5cuXSv//9b0VGRlqY7tbi4+Od8wjEx8ffdl93nW/gZgkJCerXr58WLVqU7tUGdjhydMPNC3QVKlTIbS/LTE9W+77q3r27hg0bpunTpztnCk1KStKIESPUo0cPi9NlTFYZm1CsWDGdPHlSxYsXV+nSpbVy5UpVr15dYWFhbj2Lq20G+1taa0w0f/58I3v27Ebz5s0NLy8vo0WLFka5cuUMPz8/o0OHDlbHy5AcOXIYERERabbv2rXLyJEjhwWJMsbDwyNNi/7nzR1adEZ169bNqFChgrF48WIjZ86cxrRp04xhw4YZxYoVM+bMmWN1PJc0aNDAuHDhQprtcXFxRoMGDe5/IBdkhe+r5557LtXNx8fHKFiwoNGoUSOjUaNGRsGCBQ1fX1/jueeeszpqhgwcONDw9/c3PvroIyNHjhzGsGHDjDfeeMMoUKCAMW7cOKvjZVi/fv2MESNGGIZhGIsXLzayZctmlC5d2vDy8jL69etncbo7u3LlitGhQwcjKirK6ijpyjJjLKpWraouXbqoe/fu8vHx0a5du1SiRAl16dJF/v7+GjJkiNUR7+jxxx9X9uzZNWfOHOdqh6dOndLrr7/u1hN9rVu3TvXq1VO2bNnumPGJJ564T6nuXvHixTVr1izVr18/1ex2s2fP1vz58231V//N86Tc7MyZMypatKhz8iZ3dPP31dq1a297ZYK7fl917Ngxw/tOnz49E5OYw65jE+5ky5Yt2rRpk0qXLm2LQfLS9Su+duzY4ZarymaZYpE7d27t3btXwcHBKliwoH799VdVqVJFkZGRatiwoXP5a3d2+PBhPffcczpw4ICKFy8u6fpS6mXLltWyZcvSTN2KzJEnTx7t3btXQUFBKlasmJYsWaJatWrp6NGjqlKlivNSQXd2Y2BXtWrVtGbNmlSXnyUnJ2v58uX66quv9Mcff1iUEHaUO3duRUZGqnjx4vL399ePP/6o6tWr68iRIwoJCWEA6n3UsWNHValS5Y5TxVshy4yxyJ8/v3N606JFi2rPnj2qUqWKLl68qMTERIvTZUzp0qUVERGhVatWaf/+/TIMQxUrVlTjxo3desrff7p48aK2bt2qM2fOKCUlJdVj7dq1syhVxpUsWVJ//PGHgoKCVLFiRS1atEi1atXSDz/8oLx581odL0OqVasmh8Mhh8Ohhg0bpnk8Z86caeaEcGcDBw7UBx984Jxh8Ia4uDh17dpV8+fPtyjZg8WuYxPSc/z4cW3cuDHdzyk7THVfunRpDRs2TJs2bdIjjzziXMbiBivfQ5Y5YvHqq6+qRo0aCg0N1YgRIzRu3Di1atVKq1atUvXq1W0xeDMr+OGHH9S2bVslJCTIx8cnVSFyOBy2GNz12WefydPTU7169dKvv/6q5s2bKzk5WdeuXdOnn35qixkrjx07JsMwVLJkSW3dutU54EuSvLy8VLhw4TS/pN1ZUFCQ/P39NXfuXJUqVUrS9fWB2rVrp6JFi2rz5s0WJ7yz8+fPa9CgQfr111/T/WVmh5+N/v37y9fXV//3f/+nb775Rm3atFFwcLCio6PVp08fjR492uqIGTJ9+nTnitEFChRI8zllh6nuS5QoccvHrH4PWaZYxMbG6u+//1ZAQIBSUlL08ccfO5ccHzhwoPLly2d1xAxZvXq1c2XQf37wTJs2zaJUGVe2bFk9/fTTGjlyZJZZ0jo6Olrbtm1TqVKl9PDDD1sd54EUFxenLl266Mcff9Snn36qgwcPaty4cerfv78GDx5si5LUrFkzRUVF6Y033tBDDz2U5iikHed4+f3337Vx40ZbjU2Qri890LVrVw0YMCDNXEK4d1miWFy7dk1z587Vk08+qSJFilgd564NGTJEQ4cOVY0aNdJdGXTp0qUWJcu43Llza/fu3W45oOhBNHPmTBUsWFDNmzeXJPXt21eTJ09WxYoVNX/+fAUFBVmc0DXvv/++Ro0apWzZsunnn392zsJpBz4+PtqwYYNty+nVq1f173//WwMHDrT9z3eBAgW0detW59EvO7ty5YqOHj2qUqVKKVs29xjdkCWKhSTlypVLkZGRtvugvJm/v7/GjBmj119/3eood61169Z65ZVX9NJLL1kdxSXjx4/P8L52OP96Q7ly5TRx4kQ1bNhQmzdvVqNGjTR27Fj997//VbZs2Wx1ivDzzz9Xv3799Nxzz2n79u3y9PTUvHnzbPOLumbNmvr8889Vu3Ztq6PcNXe+EsEVffv2Vf78+dW/f3+ro9y1xMRE9ezZ0znb8cGDB1WyZEn16tVLAQEBlr63LFMsGjRooN69e9t6Xnu7tuib1zs5e/ashg4d6hyx/M+1Qtz1cOntzlfezOpzl67KlSuX9u/fr+LFi6tfv346efKkZs2apb1796p+/fo6e/as1REzpFmzZgoLC9OkSZP0wgsv6PLlywoNDdWMGTM0ZMgQ9e3b1+qIdxQWFqb+/ftr0KBBqly5cpqfDTtM8uXOVyK4Ijk5WS1atNDly5fT/Zz69NNPLUqWcb1799bGjRs1duxYPfXUU4qIiFDJkiX1/fffa/DgwQoPD7csm3scNzFBt27d9M477+jPP/9Md4SspfOmZ1Dnzp01b948DRw40OooLkmvzA0dOjTNNofD4bazVrr1LHb3IE+ePDp//ryKFy+ulStXqk+fPpKkHDly2Gq58WvXrikiIkIBAQGSrl/VMnHiRLVo0UKdO3e2RbHImzev4uLi0lylYxiGW/9s3Mydr0RwxciRI7VixQqVK1dOktIM3rSDZcuWaeHChapdu3aqzBUrVlRUVJSFybLQEYvbDcCxyw9t7969NWvWLFWtWlVVq1a1ZYuGe2nbtq3279+vkJAQzZ8/X9HR0SpQoIC+//57/d///Z/27NljdcR7du7cORUsWNDqGHdUq1YtZcuWTb1790538Ka7TvJ1M3e+EsEV+fLl02effaYOHTpYHeWu5cqVS3v27FHJkiWdk0KWLFlSu3bt0uOPP27pnCJZ5ohFVviLMyIiQtWqVZMk233gr1mzRj169NCWLVvSHNKNi4tT3bp1NWnSJD322GMWJby90NBQDRs2TLlz577jYV47FbwvvvhC//nPfxQTE6Nvv/1WBQoUkCRt375dbdq0sTida3777Td99dVXioqK0jfffKOiRYtq9uzZKlGiRKr1ddzVnj17FB4e7vwr2Y6ywuesJHl7e6tevXpWx7gnNWvW1I8//qiePXtK+t+RlilTpqhOnTpWRss6xSJPnjzOD82YmBhNmTJFly9f1jPPPOO2v8z+6ddff7U6wl0bO3as3nzzzXTPE/v5+alLly769NNP3fbfIjw83Dm99e3OTdrlMOkNefPm1YQJE9Jst8MU9zf79ttv9frrr6tt27YKDw9XUlKSJOnSpUsaOXKkLaZZr1GjhmJiYmxdLIYOHap33303zaXkly9f1kcffaRBgwZZlMw1vXv31ueff+7SoG13M2rUKD311FPat2+frl27pnHjxmnv3r3avHmz5cs/2P5UyO7du9WyZUvFxMSoTJkyWrBggZ566iklJCTIw8NDCQkJ+uabb9x6UGfr1q3vuI/D4dC33357H9LcnaCgIC1fvlwVKlRI9/H9+/eradOmio6Ovs/JHjwRERGqXLmyPDw8nFN734odxh5JUkhIiPr06aN27dqlOuy7c+dOPfXUUzp16pTVEe9o8eLF+uCDD/Tee++lO2DQDv8Wnp6eOnnyZJq1Z86fP6/ChQvb4pSzJD333HNas2aNChQooEqVKqX5t7DL1VK7d+/Wxx9/rO3btyslJUXVq1dXv379VKVKFUtz2f6IRd++fVWlShXNmTNHc+bMUYsWLfT000/r66+/liT17NlTo0ePduti4efnZ3WEe3b69Ok0P5w3y5Ytm22uQLC7atWqORceuzG1981/P9y4b5exR5J04MABPf7442m2+/r66uLFi/c/0F14+eWXJUmdOnVybrPbv8WNrP+0a9euVOvRuLu8efNm6A86d1elShXn5abuxPbFIiwsTGvWrFHVqlVVrVo1TZ48Wd26dXMO5uzZs6fbXzduh1UN76Ro0aLavXv3LRdKi4iIcK7YagdhYWFavHixoqOjdeXKlVSPuftfM0ePHnVO4Z1Vzon7+/vr8OHDCg4OTrV9w4YNtplTwc7/Fvny5XOuPVO2bNlU5SI5OVl//fWXunbtamFC12SFz9wbzpw5k+5MzVYeAbN9sYiNjXXOtpknTx7lzp07VXPOly+fc3EyZJ6nn35agwYNUrNmzZQjR45Uj12+fFmDBw9WixYtLErnmgULFqhdu3Zq2rSpVq1apaZNm+rQoUM6deqUnnvuOavj3dHNk8T5+fndcuG0w4cP36dE965Lly7q3bu3pk2bJofDoRMnTmjz5s169913bXNe386T940dO1aGYahTp04aMmRIqqOsXl5eCg4OtnzAoKuuXbumtWvXKioqSq+++qp8fHx04sQJ+fr6Kk+ePFbHu6Pt27erffv2ioyM1D9HNFh9BMz2Yyw8PDx0+vRp519oPj4+ioiIcF4Wdfr0aQUEBNjiMKOdnT59WtWrV5enp6d69OihcuXKyeFwKDIyUl988YWSk5O1Y8cOPfTQQ1ZHvaOqVauqS5cu6t69u/N8fokSJdSlSxf5+/vbauBj3bp1tWbNmjRl78CBA2rUqJH+/PNPi5K57v3339dnn32mv//+W9L1kf3vvvuuhg0bZnGyjIuKitLYsWMVGRkph8OhChUqqHfv3raZFG/dunWqV6+e20wdfbeOHTump556StHR0UpKSnLOWvn222/r77//1qRJk6yOeEdVq1ZV6dKl1a9fv3QvX7ayyGaJYtGsWTPnkr0//PCDGjZs6Jy4JSkpScuXL6dY3AfHjh3TW2+9pRUrVjgbtMPh0JNPPqkvv/wyzWFsd5U7d27t3btXwcHBKliwoH799VdVqVJFkZGRatiwoU6ePGl1xAy7sTLrjSm8JTnfx0svvaRx48ZZnNA1iYmJ2rdvn1JSUlSxYkVb/GV5w4oVK/TMM8+oWrVqqlevngzD0KZNm7Rr1y798MMPatKkidUR72jHjh3Knj27c3Dgd999p+nTp6tixYr64IMP5OXlZXHCjHn22Wfl4+OjqVOnqkCBAs7BwOvWrVPnzp116NAhqyPekY+Pj8LDw295+tlK9q6dSrsi4GuvvZZmn3bt2t2vOA+0oKAg/fTTT7pw4YIOHz4swzBUpkwZ26wse0P+/Pmdp8+KFi2qPXv2qEqVKrp48aISExMtTueab7/9Vk2aNNGrr76qhQsXau/evWrUqJHatm1ri/k4bh7oeDt2WPm3f//+6S4t3r9/f/Xr188WxaJLly7q37+/qlSpoiNHjujll19W69attXjxYiUmJmrs2LFWR8yQDRs2aOPGjWmKUFBQkI4fP25RKtc0atRIu3btcstiYfsjFoDZXn31VdWoUUOhoaEaMWKExo0bp1atWmnVqlWqXr262w/e/Ke4uDjVr19fpUqV0m+//aZ27drpo48+sjpWhnh4eCgoKEghISFpziPfzA4r/+bIkUO7d+9WmTJlUm0/ePCgqlat6jzF4878/Py0Y8cOlSpVSh9++KHWrFmjFStWaOPGjXrllVcUExNjdcQMyZ8/vzZs2KCKFSumunx5w4YNev7553X69GmrI97RuXPn1L59e9WqVSvdtWesXJfJ9kcsALNNmDDB+SE/YMAAZc+eXRs2bFDr1q1tsY5LfHx8qvsOh0MLFy5U48aN9fzzz2vgwIHOfdx94auuXbtqwYIFOnLkiDp16qTXXnvNVpc13qxQoULauXNnmmKxc+fONPNCuCvDMJxXH/zyyy/OAdmBgYE6d+6cldFc0qRJE40dO1aTJ0+WdP1n5K+//tLgwYP19NNPW5wuYzZt2qQNGzbo559/TvMYgzcBmMrDwyPduQZuHvdip7kTkpKStGTJEk2bNk2bNm1S8+bN9cYbb6hp06a2mgl16NCh+uyzz9S/f3/VrVtXDodDGzZs0Icffqh33nlH//nPf6yOeEcNGzZUYGCgGjdurDfeeEP79u1T6dKltW7dOrVv315//PGH1REz5MSJE2rQoIE8PT116NAh1ahRQ4cOHVLBggW1fv16WxS94OBgtWjRQgMHDnS7QfEUCyAdKSkpOnz4cLrXh6c3UZM7cWU6XzssfHWzY8eOacaMGZo1a5auXr2qffv22WYAp2EYGjt2rD755BOdOHFCkhQQEKD33ntPvXr1skVJioiIUNu2bRUdHa3Q0FANHjxY0vX5gs6fP6958+ZZnDDjLl++rAULFqSatbJt27bKmTOn1dEyxMfHRzt37nTLK4ooFsA/bNmyRa+++qqOHTvmdteHP+iio6M1Y8YMzZgxQ1euXNH+/fttUyxudmNwsI+Pj8VJzPH333/L09PztrPvupP169erbt26aS6bvXbtmjZt2uT2fzxI1y9ceOyxx9S5c2ero6RBsQD+oVq1aipbtqyGDBkif3//NH9J2nEK9sTExHRnEbXD+hQ3nwrZsGGDWrRooY4dO+qpp55yzrALuCIrrHkyYsQIjR07Vs2bN0937ZlevXpZlIxiAaSRO3dut72My1Vnz55Vx44d0x3gJcntP0C7deumBQsWqHjx4urYsaNee+015yrGdhASEpLhUxw7duzI5DT37lbjd25w9++nG/45seINBw8eVI0aNdIMgHZHNyaBTI/D4dCRI0fuY5rUuCoE+IdHH31Uhw8fzhLF4u2339aFCxe0ZcsWNWjQQEuXLtXp06c1fPhwffLJJ1bHu6NJkyapePHiKlGihNatW3fL8SPuegmwOy9+eDf+eVnv1atXFR4erpkzZ9piRtobC485HA516NDBObGidL0URUREqG7dulbFc4k7rz1DsQCkVMuL9+zZU++8845OnTpl2+Wtb1izZo2+++471axZ0zknRJMmTeTr66tRo0apefPmVke8rXbt2tliUOOt3BjcmFW0atUqzbYXXnhBlSpV0sKFC/XGG29YkCrjbpzGNAxDPj4+qQZqenl5qXbt2nrzzTetimeK3bt3a+rUqZZOVsapEED/O8R7qx8Hu12ieYOvr68iIiIUHBys4OBgzZ07V/Xq1dPRo0dVqVIl280kmhVs377duVZIxYoVFRISYnWkexYVFaWqVasqISHB6igZMmTIEL377rvOpR/sLj4+XvPnz9fUqVO1bds2Va1aVTt37rQsD0csALn3YcV7Ua5cOR04cEDBwcGqVq2avvrqKwUHB2vSpEm2WsY+Kzhz5oxeeeUVrV27Vnnz5pVhGIqLi1ODBg20YMGCNOf77eLy5cv6/PPPVaxYMaujZFhWOZK0bt06TZ06Vd9++63+/vtvvffee5o3b57lp3EpFoCurxHQqVMnjRs3LstcAihdH2NxY9G0wYMH68knn9TcuXPl5eWlGTNmWBvuAdOzZ0/Fx8dr7969qlChgiRp3759at++vXr16qX58+dbnPDO8uXLl+rUlGEYunTpknLmzKm5c+damMx133zzjRYtWpTu1VLuPJD25MmTmj59uqZNm6aEhAS1adNG69atU506ddSuXTvLS4XEqRDA6VaXoNlRYmKi3nvvPS1btkxXr15V48aNNX78eOXKlUv79+9X8eLFVbBgQatjPlD8/Pz0yy+/qGbNmqm2b926VU2bNtXFixetCeaCmTNnprrv4eGhQoUK6dFHH9WxY8dUrVo1a4K5aPz48Xr//ffVvn17TZkyRR07dlRUVJTCwsLUvXt3jRgxwuqIt5QjRw69+OKLeu2119SkSRPnJdfZs2fXrl27VLFiRYsTcsQCcMpKHXvw4MGaMWOGcybBefPm6a233tLixYtVvXp1q+M9kFJSUtKdQCp79uxpZnd1V/9cTTouLk5z587V+++/r507d9pm/NGXX36pyZMnq02bNpo5c6b69u2rkiVLatCgQYqNjbU63m0FBQVpw4YNKl68uIKCglS+fHmrI6XB7DLATex8BcLNlixZoqlTp2ry5MkaN26cfvzxRy1btsw2H/xZUcOGDdW7d2/ndN6SdPz4cfXp00eNGjWyMJnr1qxZo9dee03+/v76/PPP1axZM23bts3qWBkWHR3tvKw0Z86czplQX3/9dbc/JXXgwAHNmTNHJ0+eVM2aNfXII4/os88+k+Q+n18UC+AmZcuWVf78+W97s4OYmBg99thjzvu1atVStmzZUv1Sw/01YcIEXbp0ScHBwSpVqpRKly6tEiVK6NKlS/r888+tjndHf/75p4YPH66SJUuqTZs2ypcvn65evapvv/1Ww4cPt9XVLUWKFNH58+clXT8CsGXLFknXB3Hb4chlvXr1NG3aNJ08eVJdu3bVokWLlJycrG7dumnKlCk6e/aspfkYYwH8fx4eHho7duwdp+z+5+Fgd+Tp6alTp06lutLAx8dHERERt52xD5lv1apV2r9/vwzDUMWKFdW4cWOrI93R008/7ZxOvW3btnrqqaeca4O4y3l9V3Tu3FmBgYEaPHiwJk2apNDQUNWrV0/btm1T69atNXXqVKsjuiwyMlJTp07V7NmzFRsbq6tXr1qWhWIB/H8eHh46depUlhi86eHhoWbNmqWaWfCHH35Qw4YNU127764zVmYla9asUY8ePbRlyxb5+vqmeiwuLk5169bVpEmTUh1hcjfZsmVTr1699NZbb6lMmTLO7XYtFikpKUpJSXEuQrZo0SJt2LBBpUuXVteuXeXl5WVxwrt37do1ff/9985ZRq1AsQD+v6x0VUjHjh0ztN/06dMzOQmeeeYZNWjQQH369En38fHjx+vXX39NM122O9m8ebOmTZumRYsWqXz58nr99df18ssvKyAgwJbFApmLYgH8f1npiAXcR1BQkJYvX+6cu+Kf9u/fr6ZNmyo6Ovo+J3NdYmKiFixYoGnTpmnr1q1KTk7Wp59+qk6dOtlq/pf169ff9nE7LJvuzigWAJCJcuTIoT179txy4qLDhw+rSpUqunz58n1Odm8OHDjgPKd/8eJFNWnSRN9//73VsTLkxtwPN7v5igqunro3XBUCAJmoaNGi2r179y0fj4iIsOX06uXKldOYMWP0559/uv0lmv904cKFVLczZ85o+fLlqlmzplauXGl1vFuKiIiwxZwnHLEAgEzUs2dPrV27VmFhYcqRI0eqxy5fvqxatWqpQYMGGj9+vEUJccP69evVp08fbd++3eoo6bp5HFjJkiUVFhamAgUKWB0rDYoFAGSi06dPq3r16vL09FSPHj1Urlw5ORwORUZG6osvvlBycrJ27Nihhx56yOqoD7zIyEjVrFlTf/31l9VR0lWgQAH99NNPevTRR+Xh4aHTp0+75eJ1FAsAyGTHjh3TW2+9pRUrVjgnYHI4HHryySf15ZdfKjg42NqAD5iIiIhU9w3D0MmTJzV69GhdvXpVGzdutCjZ7f373//WrFmz5O/vr+joaBUrVkyenp7p7nvkyJH7nO5/KBYAcJ9cuHBBhw8flmEYKlOmjPLly2d1pAeSh4eHHA5Hmlk2a9eurWnTprnl+hs3LF++XIcPH1avXr00dOjQW16N07t37/uc7H8oFgCAB8qxY8dS3b+xSus/x8C4s44dO2r8+PFueZkvxQIA8EC4fPmyVq9erRYtWkiSBgwYoKSkJOfj2bJl09ChQ21VMKTr67g4HA4VLVrU6iiSuNwUAPCAmDVrlr766ivn/QkTJmjTpk0KDw9XeHi4Zs+erYkTJ1qYMONSUlI0dOhQ+fn5KSgoSMWLF1fevHk1bNgwyy9JzWbpqwMAcJ/MnTs3zdTq8+bNU8mSJSVJc+bM0RdffHHL6dfdyfvvv6+pU6dq9OjRqlevngzD0MaNG/XBBx/o77//1ogRIyzLxqkQAMADoUiRIlq9erUqVaokSSpUqJDCwsKcV+UcPHhQNWvWVFxcnIUpMyYgIECTJk3SM888k2r7d999p27duun48eMWJeOIBQDgAREXF+dc0VSSzp49m+rxlJSUVGMu3FlsbGy6V6+UL19esbGxFiT6H8ZYAAAeCMWKFdOePXtu+XhERISKFSt2HxPdvYcfflgTJkxIs33ChAl6+OGHLUj0P5wKAQA8EHr37q1ffvlF27dvT3d69Ro1aqhx48YaN26cRQkzbt26dWrevLmKFy+uOnXqyOFwaNOmTYqJidFPP/2kxx57zLJsFAsAwAPh9OnTqlatmry8vNSjRw+VLVtWDodD+/fv14QJE3Tt2jWFh4fbZnr1EydO6IsvvtD+/ftlGIYqVqyobt26KSAgwNJcFAsAwAPj6NGjeuutt7Rq1apU06s3adJEX375pfMKEdw9igUA4IETGxurw4cPS5JKly6t/PnzW5wo66BYAAAA03BVCAAAMA3FAgAAmIZiAQCAzVy+fFmJiYnO+8eOHdPYsWO1cuVKC1NdR7EAAMBmWrVqpVmzZkmSLl68qEcffVSffPKJWrVqZflCahQLAABsZseOHc5JsL755hs99NBDOnbsmGbNmqXx48dbmo1iAQCAzSQmJsrHx0eStHLlSrVu3VoeHh6qXbu2jh07Zmk2igUAADZTunRpLVu2TDExMVqxYoWaNm0qSTpz5ox8fX0tzUaxAADAZgYNGqR3331XwcHBqlWrlurUqSPp+tGLkJAQS7MxQRYAADZ06tQpnTx5Ug8//LA8PK4fJ9i6dat8fX3TXVL9fqFYAABgU4cPH1ZUVJQef/xx5cyZU4ZhyOFwWJqJUyEAANjM+fPn1ahRI5UtW1ZPP/20Tp48KUnq3Lmz3nnnHUuzUSwAALCZPn36KHv27IqOjlauXLmc219++WUtX77cwmRSNktfHQAAuGzlypVasWKFihUrlmp7mTJluNwUAAC4JiEhIdWRihvOnTsnb29vCxL9D8UCAACbefzxx51TekuSw+FQSkqKPvroIzVo0MDCZFwVAgCA7ezbt0/169fXI488ojVr1uiZZ57R3r17FRsbq40bN6pUqVKWZaNYAABgQ6dOndLEiRO1fft2paSkqHr16urevbv8/f0tzUWxAADAZqKjoxUYGJjunBXR0dEqXry4Bamuo1gAAGAznp6eOnnypAoXLpxq+/nz51W4cGElJydblIzBmwAA2M6tZtj866+/lCNHDgsS/Q/zWAAAYBOhoaGSrl8FMnDgwFSXnCYnJ+v3339XtWrVLEp3HcUCAACbCA8Pl3T9iMXu3bvl5eXlfMzLy0sPP/yw3n33XaviSWKMBQAAttOxY0eNGzdOvr6+VkdJg2IBAABMw6kQAABsKCwsTIsXL1Z0dLSuXLmS6rElS5ZYlIqrQgAAsJ0FCxaoXr162rdvn5YuXaqrV69q3759WrNmjfz8/CzNRrEAAMBmRo4cqc8++0z//e9/5eXlpXHjxikyMlIvvfSSpZNjSRQLAABsJyoqSs2bN5ckeXt7KyEhQQ6HQ3369NHkyZMtzUaxAADAZvLnz69Lly5JkooWLao9e/ZIki5evKjExEQrozF4EwAAu3nssce0atUqValSRS+99JJ69+6tNWvWaNWqVWrUqJGl2bjcFAAAm4mNjdXff/+tgIAApaSk6OOPP9aGDRtUunRpDRw4UPny5bMsG8UCAACYhjEWAADYjKenp86cOZNm+/nz5+Xp6WlBov+hWAAAYDO3OtmQlJSUav0QKzB4EwAAmxg/fryk66ubfv3118qTJ4/zseTkZK1fv17ly5e3Kp4kxlgAAGAbJUqUkCQdO3ZMxYoVS3Xaw8vLS8HBwRo6dKgeffRRqyJSLAAAsJsGDRpoyZIlll79cSsUCwAAbO7atWv6+++/U50asQqDNwEAsImffvpJs2fPTrVtxIgRypMnj/LmzaumTZvqwoULFqW7jmIBAIBNfPzxx4qPj3fe37RpkwYNGqSBAwdq0aJFiomJ0bBhwyxMyKkQAABso3DhwlqxYoVCQkIkSaGhodq3b5+WL18u6foRjd69e+vQoUOWZeSIBQAANnHp0iUVKFDAeX/Dhg1q2LCh836lSpV04sQJK6I5USwAALCJgIAARUZGSpL++usv7dq1S/Xq1XM+fv78eeXKlcuqeJIoFgAA2MYLL7ygt99+W7Nnz9abb76pIkWKqHbt2s7Ht23bpnLlylmYkJk3AQCwjcGDB+vEiRPq1auXihQpojlz5qSaJGv+/Plq2bKlhQkZvAkAAEzEqRAAAGAaigUAADANxQIAAJiGYgEAAExDsQAAAKbhclMAAGxg/PjxGd63V69emZjk9rjcFAAAGyhRokSq+2fPnlViYqLy5s0rSbp48aJy5cqlwoUL68iRIxYkvI5TIQAA2MDRo0edtxEjRqhatWqKjIxUbGysYmNjFRkZqerVq7O6KQAAcE2pUqX0zTffOFc5vWH79u164YUXdPToUYuSccQCAADbOXnypK5evZpme3Jysk6fPm1Bov+hWAAAYDONGjXSm2++qW3btunGiYdt27apS5cuaty4saXZKBYAANjMtGnTVLRoUdWqVUs5cuSQt7e3Hn30Ufn7++vrr7+2NBtjLAAAsKmDBw9q//79MgxDFSpUUNmyZa2OxDwWAADYVXBwsAzDUKlSpZQtm3v8SudUCAAANpOYmKg33nhDuXLlUqVKlRQdHS3p+sRYo0ePtjQbxQIAAJsZMGCAdu3apbVr1ypHjhzO7Y0bN9bChQstTMapEAAAbGfZsmVauHChateuLYfD4dxesWJFRUVFWZiMIxYAANjO2bNnVbhw4TTbExISUhUNK1AsAACwmZo1a+rHH3903r9RJqZMmaI6depYFUsSp0IAALCdUaNG6amnntK+fft07do1jRs3Tnv37tXmzZu1bt06S7NxxAIAAJupW7euNm7cqMTERJUqVUorV67UQw89pM2bN+uRRx6xNBsTZAEAANNwxAIAAJvx9PTUmTNn0mw/f/68PD09LUj0PxQLAABs5lYnG5KSkuTl5XWf06TG4E0AAGxi/Pjxkq5fBfL1118rT548zseSk5O1fv16lS9f3qp4khhjAQCAbZQoUUKSdOzYMRUrVizVaQ8vLy8FBwdr6NChevTRR62KSLEAAMBuGjRooCVLlihfvnxWR0mDYgEAAEzDGAsAAGwgNDRUw4YNU+7cuRUaGnrbfT/99NP7lCotigUAADYQHh6uq1evOv/7VqxeK4RTIQAAwDTMYwEAAEzDqRAAAGwmISFBo0eP1urVq3XmzBmlpKSkevzIkSMWJaNYAABgO507d9a6dev0+uuvy9/f3/JxFTdjjAUAADaTN29e/fjjj6pXr57VUdJgjAUAADaTL18+5c+f3+oY6aJYAABgM8OGDdOgQYOUmJhodZQ0OBUCAIDNhISEKCoqSoZhKDg4WNmzZ0/1+I4dOyxKxuBNAABs59lnn7U6wi1xxAIAAJiGMRYAAMA0FAsAAGzCw8NDnp6eaW758uVT7dq1tWTJEqsjMsYCAAC7WLp0abrbL168qK1bt+q1117TzJkz9eKLL97nZP/DGAsAALKIL774QrNmzdLvv/9uWQZOhQAAkEU0bdpUBw8etDQDxQIAgCzi8uXLypEjh6UZKBYAAGQRU6ZMUUhIiKUZGLwJAIBNhIaGprs9Li5O27ZtU1RUlH777bf7nCo1Bm8CAGATDRo0SHe7r6+vypcvr27duikoKOg+p0qNYgEAAEzDGAsAAGAaigUAADANxQIAAJiGYgEAAExDsQAAAKahWAAAANNQLIAHyKlTp9SzZ0+VLFlS3t7eCgwMVMuWLbV69er7msPhcGjZsmX39TUB3B/MvAk8IP744w/Vq1dPefPm1ZgxY1S1alVdvXpVK1asUPfu3bV//36rI6Zy9epVZc+e3eoYAFzEEQvgAdGtWzc5HA5t3bpVL7zwgsqWLatKlSopNDRUW7ZskSRFR0erVatWypMnj3x9ffXSSy/p9OnTzq/RoUMHPfvss6m+7ttvv6369es779evX1+9evVS3759lT9/fhUpUkQffPCB8/Hg4GBJ0nPPPSeHw+G8/8EHH6hatWqaNm2a84jKzJkzVaBAASUlJaV6zeeff17t2rUz7f8NAPNQLIAHQGxsrJYvX67u3bsrd+7caR7PmzevDMPQs88+q9jYWK1bt06rVq1SVFSUXn75ZZdfb+bMmcqdO7d+//13jRkzRkOHDtWqVaskSWFhYZKk6dOn6+TJk877knT48GEtWrRI3377rXbu3KmXXnpJycnJ+v777537nDt3Tv/973/VsWNHl3MByHycCgEeAIcPH5ZhGCpfvvwt9/nll18UERGho0ePKjAwUJI0e/ZsVapUSWFhYapZs2aGX69q1aoaPHiwJKlMmTKaMGGCVq9erSZNmqhQoUKSrpeZIkWKpHrelStXNHv2bOc+kvTqq69q+vTpevHFFyVJc+fOVbFixVIdJQHgPjhiATwAbiwJ5HA4brlPZGSkAgMDnaVCkipWrKi8efMqMjLSpderWrVqqvv+/v46c+bMHZ8XFBSUqlRI0ptvvqmVK1fq+PHjkq4f6ejQocNt3wsA61AsgAdAmTJl5HA4blsQDMNI95f1zds9PDz0z3ULr169muY5/xx06XA4lJKScsec6Z2mCQkJ0cMPP6xZs2Zpx44d2r17tzp06HDHrwXAGhQL4AGQP39+Pfnkk/riiy+UkJCQ5vGLFy+qYsWKio6OVkxMjHP7vn37FBcXpwoVKkiSChUqpJMnT6Z67s6dO13Okz17diUnJ2d4/86dO2v69OmaNm2aGjdunOqoCgD3QrEAHhBffvmlkpOTVatWLX377bc6dOiQIiMjNX78eNWpU0eNGzdW1apV1bZtW+3YsUNbt25Vu3bt9MQTT6hGjRqSpIYNG2rbtm2aNWuWDh06pMGDB2vPnj0uZwkODtbq1at16tQpXbhw4Y77t23bVsePH9eUKVPUqVMnl18PwP1DsQAeECVKlNCOHTvUoEEDvfPOO6pcubKaNGmi1atXa+LEic5Jq/Lly6fHH39cjRs3VsmSJbVw4ULn13jyySc1cOBA9e3bVzVr1tSlS5fu6rLPTz75RKtWrVJgYKBCQkLuuL+vr6+ef/555cmTJ83lrgDci8P45wlTAHBDTZo0UYUKFTR+/HirowC4DYoFALcWGxurlStXqm3bttq3b5/KlStndSQAt8E8FgDcWvXq1XXhwgV9+OGHlArABjhiAQAATMPgTQAAYBqKBQAAMA3FAgAAmIZiAQAATEOxAAAApqFYAAAA01AsAACAaSgWAADANP8PCiJYlFX7pL4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_new['Production(Tons)'].head(10).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "id": "c54b0f08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.barplot(data = df.head(15),  x= \"Country\", y = \"Production(Tons)\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation =90) # to rotate the x-axis name\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22dce68a",
   "metadata": {},
   "source": [
    "### Which country has highest land?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "5c420f81",
   "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>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382.0</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205.0</td>\n",
       "      <td>75167.5</td>\n",
       "      <td>3668.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000.0</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000.0</td>\n",
       "      <td>70393.5</td>\n",
       "      <td>260721.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739.0</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215.0</td>\n",
       "      <td>73459.1</td>\n",
       "      <td>88287.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496.0</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575.0</td>\n",
       "      <td>65442.2</td>\n",
       "      <td>1264.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704.0</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820.0</td>\n",
       "      <td>57879.0</td>\n",
       "      <td>324219.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>North America</td>\n",
       "      <td>56446821.0</td>\n",
       "      <td>452524</td>\n",
       "      <td>781054.0</td>\n",
       "      <td>7227.0</td>\n",
       "      <td>452524.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>South America</td>\n",
       "      <td>36951213.0</td>\n",
       "      <td>740075</td>\n",
       "      <td>416626.0</td>\n",
       "      <td>88691.5</td>\n",
       "      <td>740075.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Australia</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>34403004.0</td>\n",
       "      <td>1373.406</td>\n",
       "      <td>447204.0</td>\n",
       "      <td>76929.1</td>\n",
       "      <td>1373.406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Guatemala</td>\n",
       "      <td>North America</td>\n",
       "      <td>33533403.0</td>\n",
       "      <td>1938.114</td>\n",
       "      <td>25985.0</td>\n",
       "      <td>129049.3</td>\n",
       "      <td>1938.114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>United States of America</td>\n",
       "      <td>North America</td>\n",
       "      <td>29926210.0</td>\n",
       "      <td>91304</td>\n",
       "      <td>37053.0</td>\n",
       "      <td>80766.0</td>\n",
       "      <td>91304.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Country      Continent  Production(Tons)  \\\n",
       "0                    Brazil  South America       768678382.0   \n",
       "1                     India           Asia       348448000.0   \n",
       "2                     China           Asia       123059739.0   \n",
       "3                  Thailand           Asia        87468496.0   \n",
       "4                  Pakistan           Asia        65450704.0   \n",
       "5                    Mexico  North America        56446821.0   \n",
       "6                  Colombia  South America        36951213.0   \n",
       "7                 Australia        Oceania        34403004.0   \n",
       "8                 Guatemala  North America        33533403.0   \n",
       "9  United States of America  North America        29926210.0   \n",
       "\n",
       "  Production_per_Person(Kg)  Acreage(Hectare)  Yield(Kg / Hectare)  \\\n",
       "0                  3668.531        10226205.0              75167.5   \n",
       "1                    260721         4950000.0              70393.5   \n",
       "2                     88287         1675215.0              73459.1   \n",
       "3                  1264.303         1336575.0              65442.2   \n",
       "4                    324219         1130820.0              57879.0   \n",
       "5                    452524          781054.0               7227.0   \n",
       "6                    740075          416626.0              88691.5   \n",
       "7                  1373.406          447204.0              76929.1   \n",
       "8                  1938.114           25985.0             129049.3   \n",
       "9                     91304           37053.0              80766.0   \n",
       "\n",
       "   Production per Person(Kg)  \n",
       "0                   3668.531  \n",
       "1                 260721.000  \n",
       "2                  88287.000  \n",
       "3                   1264.303  \n",
       "4                 324219.000  \n",
       "5                 452524.000  \n",
       "6                 740075.000  \n",
       "7                   1373.406  \n",
       "8                   1938.114  \n",
       "9                  91304.000  "
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "6eb51ad7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_acr=df.sort_values('Acreage(Hectare)' , ascending=False) # to get top contrries ascending order\n",
    "ax = sns.barplot(data = df_acr.head(10),  x= \"Country\", y = \"Acreage(Hectare)\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation =90) # to rotate the x-axis name\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93d19410",
   "metadata": {},
   "source": [
    "### Which country has highest yield per hectare?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "46c90cef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FREREJBEWKyIiIiKJsFgRERERSYTFioiIiEgiLFZEREREEmGxIiIiIpIIixURERGRRFisiIiIiCTCZwUSERHRS/fGT7/LHaFap9/1e6GP44wVERERkURYrIiIiIgkwmJFREREJJEaXWMlCALi4uLw559/4urVqygqKoKVlRXc3Nzg4+MDe3v72spJREREpPHUmrEqLi5GeHg47O3t0adPH+zbtw93796Frq4uLl26hNDQUDg4OODtt99GQkJCbWcmIiIi0khqzVi1bNkSXbp0wapVq+Dn5wc9Pb1KY65du4atW7fivffew+eff47g4GDJwxIRERFpMrWK1W+//QYXF5dqxzRt2hQzZsxASEgIrl27Jkk4IiIiIm2i1qnA55WqJ+nr68PR0fGFAxERERFpqxe6K/DPP//EsGHD4OHhgevXrwMANm/ejPj4eEnDEREREWmTGherHTt2wM/PD0ZGRjh16hRKSkoAAPfu3UN4eLjkAYmIiIi0RY2L1VdffYVVq1Zh7dq1Khexe3p6Ijk5WdJwRERERNqkxsUqPT0dXbt2rbTdzMwMd+/elSITERERkVaqcbFq1KgRLl26VGl7fHw8mjdvLkkoIiIiIm1U42I1evRofPbZZzh+/DgUCgVu3LiBLVu2YPLkyRgzZkxtZCQiIiLSCjV6pA0ATJ06Ffn5+ejevTsePHiArl27wsDAAJMnT8ann35aGxmJiIiItEKNilV5eTni4+MREhKCmTNn4vz586ioqEDr1q1Rv3792spIREREpBVqVKx0dXXh5+eHtLQ0WFhYoGPHjrWVi4iIiEjr1PgaK1dXV1y5cqU2shARERFptRoXq7lz52Ly5MnYu3cvsrOzUVBQoPIiIiIielXV+OL13r17AwAGDBgAhUIhbhcEAQqFAuXl5dKlIyIiItIiNS5WBw8erI0cRERERFqvxsWqW7dutZGDiIiISOvVuFg9VlRUhMzMTJSWlqpsb9u27b8ORURERKSNalysbt++jZEjR+K3336rcj+vsSIiIqJXVY3vCpwwYQLy8vKQkJAAIyMj7N+/Hxs3boSjoyN2795dGxmJiIiItEKNZ6wOHDiAXbt2oVOnTtDR0UHTpk3Rq1cvmJmZYd68eejbt29t5CQiIiLSeDWesSosLIS1tTUAwMLCArdv3wbwaOHQ5ORkadMRERERaZEaFysnJyekp6cDANq1a4fVq1fj+vXrWLVqFRo1aiR5QCIiIiJt8ULXWGVnZwMAQkNDsX//fjRp0gRff/01wsPDJQ338OFDfP7553BwcICRkRGaN2+OOXPmoKKiQhwjCALCwsJgZ2cHIyMjeHt749y5cyqfp6SkBOPGjYOlpSVMTEwwYMAA/P333ypj8vLyEBgYCKVSCaVSicDAQNy9e1dlTGZmJvr37w8TExNYWlpi/Pjxle6KJCIioldXja+xGjp0qPhrNzc3XL16FRcuXECTJk1gaWkpabgFCxZg1apV2LhxI9q0aYOTJ09i5MiRUCqV+OyzzwAACxcuxNKlS7Fhwwa0bNkSX331FXr16oX09HSYmpoCeFQG9+zZg6ioKDRs2BAhISHo168fkpKSoKurCwAICAjA33//jf379wMAPv74YwQGBmLPnj0AHt3t2LdvX1hZWSE+Ph537tzBiBEjIAgCIiIiJD1uIiIi0k41nrGaM2cOioqKxPfGxsZo3749TExMMGfOHEnDHTt2DAMHDkTfvn3RrFkzvPvuu/D19cXJkycBPJqtWr58OWbOnInBgwfDxcUFGzduRFFREbZu3QoAyM/Px7p167BkyRL4+PjAzc0NkZGROHv2LP744w8AQFpaGvbv34/vvvsOHh4e8PDwwNq1a7F3717xtGd0dDTOnz+PyMhIuLm5wcfHB0uWLMHatWv5jEQiIiIC8ALF6osvvsD9+/crbS8qKsIXX3whSajH3nzzTcTGxuKvv/4CAJw+fRrx8fF4++23AQAZGRnIycmBr6+v+DEGBgbo1q0bjh49CgBISkpCWVmZyhg7Ozu4uLiIY44dOwalUokuXbqIY9zd3aFUKlXGuLi4wM7OThzj5+eHkpISJCUlPfMYSkpK+KBqIiKiV0SNTwU+ftjy006fPg0LCwtJQj02bdo05Ofno1WrVtDV1UV5eTnmzp2LDz74AACQk5MDALCxsVH5OBsbG1y7dk0co6+vD3Nz80pjHn98Tk6OeKfjk6ytrVXGPP11zM3Noa+vL46pyrx58yQvnERERKSZ1C5W5ubmUCgUUCgUaNmypUq5Ki8vx/379/HJJ59IGu7HH39EZGQktm7dijZt2iAlJQUTJkyAnZ0dRowYIY57uug9q/xVN6aq8S8y5mkzZszApEmTxPcFBQWwt7evNhsRERFpJ7WL1fLlyyEIAj788EN88cUXUCqV4j59fX00a9YMHh4ekoabMmUKpk+fjvfffx/Ao7Wyrl27hnnz5mHEiBGwtbUF8Gg26cmlHm7duiXOLtna2qK0tBR5eXkqs1a3bt2Cp6enOObmzZuVvv7t27dVPs/x48dV9ufl5aGsrKzSTNaTDAwMYGBg8CKHT0RERFpG7WL1eIbIwcEBXl5eqFfvhZ/frLaioiLo6KheBqarqysut+Dg4ABbW1vExMTAzc0NAFBaWoq4uDgsWLAAANChQwfo6ekhJiYG/v7+AIDs7GykpqZi4cKFAAAPDw/k5+fjxIkT6Ny5MwDg+PHjyM/PF8uXh4cH5s6di+zsbLHERUdHw8DAAB06dKjl7wQRERFpgxq3o8LCQsTGxsLPz09l+++//46Kigr06dNHsnD9+/fH3Llz0aRJE7Rp0wanTp3C0qVL8eGHHwJ4dGpuwoQJCA8Ph6OjIxwdHREeHg5jY2MEBAQAAJRKJUaNGoWQkBA0bNgQFhYWmDx5MlxdXeHj4wMAcHZ2Ru/evREcHIzVq1cDeLTcQr9+/eDk5AQA8PX1RevWrREYGIhFixYhNzcXkydPRnBwMMzMzCQ7ZiIiItJeNb4rcPr06SgvL6+0XRAETJ8+XZJQj0VERODdd9/FmDFj4OzsjMmTJ2P06NH48ssvxTFTp07FhAkTMGbMGHTs2BHXr19HdHS0uIYVACxbtgyDBg2Cv78/vLy8YGxsjD179ohrWAHAli1b4OrqCl9fX/j6+qJt27bYvHmzuF9XVxf79u2DoaEhvLy84O/vj0GDBmHx4sWSHjMRERFprxrPWF28eBGtW7eutL1Vq1a4dOmSJKEeMzU1xfLly7F8+fJnjlEoFAgLC0NYWNgzxxgaGiIiIqLahTwtLCwQGRlZbZ4mTZpg7969z4tNREREr6gaz1gplUpcuXKl0vZLly7BxMREklBERERE2qjGxWrAgAGYMGECLl++LG67dOkSQkJCMGDAAEnDEREREWmTGherRYsWwcTEBK1atYKDgwMcHBzg7OyMhg0b8nojIiIieqXV+Bqrx495iYmJwenTp2FkZIS2bduia9eutZGPiIiISGu80GJUCoUCvr6+6Nq1KwwMDJ67yjkRERHRq6DGpwIrKirw5Zdf4rXXXkP9+vWRkZEBAJg1axbWrVsneUAiIiIibVHjYvXVV19hw4YNWLhwIfT19cXtrq6u+O677yQNR0RERKRNalysNm3ahDVr1mDo0KEqC2y2bdsWFy5ckDQcERERkTapcbG6fv06WrRoUWl7RUUFysrKJAlFREREpI1qXKzatGmDP//8s9L27du3iw9CJiIiInoV1fiuwNDQUAQGBuL69euoqKjAzz//jPT0dGzatImPeyEiIqJXWo1nrPr3748ff/wRv/76KxQKBWbPno20tDTs2bMHvXr1qo2MRERERFrhhdax8vPzg5+fn9RZiIiIiLRajWesiIiIiKhqas9YmZubq7XCem5u7r8KRERERKSt1C5Wy5cvF38tCAL++9//Ys6cObC2tq6NXERERERaR+1iNWLECJX348aNw5AhQ9C8eXPJQxERERFpI15jRURERCQRFisiIiIiibBYEREREUlE7WusJk2apPK+tLQUc+fOhVKpVNm+dOlSaZIRERERaRm1i9WpU6dU3nt6euLKlSsq29RZjoGIiIiorlK7WB08eLA2cxARERFpPV5jRURERCQRFisiIiIiibBYEREREUmExYqIiIhIImoXqzVr1iAnJ6c2sxARERFpNbWL1Q8//IBmzZqhS5cuCA8Px7lz52ozFxEREZHWUbtYHTx4ENnZ2Rg3bhxSUlLg6emJ119/HZMmTcKhQ4dQUVFRmzmJiIiINF6NrrEyNzfHsGHDsG3bNty+fRvffPMNHjx4gMDAQFhZWWH48OH46aefUFhYWFt5iYiIiDTWC1+8rq+vj969e+Pbb79FVlYWfv/9dzRr1gxffvklH2tDREREryS1V15/no4dO6Jjx46YM2cOysrKpPq0RERERFqjVpZb0NPTq41PS0RERKTRuI4VERERkURYrIiIiIgkwmJFREREJJEaX7x+5syZKrcrFAoYGhqiSZMmMDAw+NfBiIiIiLRNjYtVu3btoFAonrlfT08P7733HlavXg1DQ8N/FY6IiIhIm9T4VODOnTvh6OiINWvWICUlBadOncKaNWvg5OSErVu3Yt26dThw4AA+//zz2shLREREpLFqPGM1d+5c/O9//4Ofn5+4rW3btmjcuDFmzZqFEydOwMTEBCEhIVi8eLGkYYmIiIg0WY1nrM6ePYumTZtW2t60aVOcPXsWwKPThdnZ2f8+HREREZEWqXGxatWqFebPn4/S0lJxW1lZGebPn49WrVoBAK5fvw4bGxvpUhIRERFpgRoXq2+++QZ79+5F48aN4ePjg169eqFx48bYu3cvVq5cCQC4cuUKxowZI0nA69evY9iwYWjYsCGMjY3Rrl07JCUlifsFQUBYWBjs7OxgZGQEb29vnDt3TuVzlJSUYNy4cbC0tISJiQkGDBiAv//+W2VMXl4eAgMDoVQqoVQqERgYiLt376qMyczMRP/+/WFiYgJLS0uMHz9epWASERHRq63G11h5enri6tWriIyMxF9//QVBEPDuu+8iICAApqamAIDAwEBJwuXl5cHLywvdu3fHb7/9Bmtra1y+fBkNGjQQxyxcuBBLly7Fhg0b0LJlS3z11Vfo1asX0tPTxTwTJkzAnj17EBUVhYYNGyIkJAT9+vVDUlISdHV1AQABAQH4+++/sX//fgDAxx9/jMDAQOzZswcAUF5ejr59+8LKygrx8fG4c+cORowYAUEQEBERIcnxEhERkXZTu1hdv34dr732GgCgfv36+OSTTyqN2bJlC4YOHSpZuAULFsDe3h7r168XtzVr1kz8tSAIWL58OWbOnInBgwcDADZu3AgbGxts3boVo0ePRn5+PtatW4fNmzfDx8cHABAZGQl7e3v88ccf8PPzQ1paGvbv34+EhAR06dIFALB27Vp4eHggPT0dTk5OiI6Oxvnz55GVlQU7OzsAwJIlSxAUFIS5c+fCzMxMsuMmIiIi7aT2qcBevXohLy/vmfu3bt2KkSNHShLqsd27d6Njx474z3/+A2tra7i5uWHt2rXi/oyMDOTk5MDX11fcZmBggG7duuHo0aMAgKSkJJSVlamMsbOzg4uLizjm2LFjUCqVYqkCAHd3dyiVSpUxLi4uYqkCAD8/P5SUlKicmnxaSUkJCgoKVF5ERERUN6ldrKytrdG7d28UFhZW2hcVFYWgoCAsWLBA0nBXrlzBypUr4ejoiN9//x2ffPIJxo8fj02bNgEAcnJyAKDShfI2NjbivpycHOjr68Pc3LzaMdbW1pW+vrW1tcqYp7+Oubk59PX1xTFVmTdvnnjdllKphL29fU2+BURERKRF1C5We/fuRXl5OQYOHIiysjJx+7Zt2zB8+HCEh4dj4sSJkoarqKhA+/btER4eDjc3N4wePRrBwcHiRfKPPb0SvCAI1a4OX9WYqsa/yJinzZgxA/n5+eIrKyur2lxERESkvdQuVvXr18dvv/2G69ev4/3334cgCNi+fTuGDRuGL7/8EpMnT5Y8XKNGjdC6dWuVbc7OzsjMzAQA2NraAkClGaNbt26Js0u2trYoLS2tdBrz6TE3b96s9PVv376tMubpr5OXl4eysrJql5YwMDCAmZmZyouIiIjqphott2BlZYXo6GicPHkSPj4+GDZsGEJDQzFt2rRaCefl5YX09HSVbX/99Ze4QKmDgwNsbW0RExMj7i8tLUVcXBw8PT0BAB06dICenp7KmOzsbKSmpopjPDw8kJ+fjxMnTohjjh8/jvz8fJUxqampKgufRkdHw8DAAB06dJD4yImIiEgbqX1X4JkzZ8RfL1q0CMOHD8c777yD/v37q+xr27atZOEmTpwIT09PhIeHw9/fHydOnMCaNWuwZs0aAI9OzU2YMAHh4eFwdHSEo6MjwsPDYWxsjICAAACAUqnEqFGjEBISgoYNG8LCwgKTJ0+Gq6ureJegs7MzevfujeDgYKxevRrAo+UW+vXrBycnJwCAr68vWrdujcDAQCxatAi5ubmYPHkygoODOQtFREREAGpQrNq1aweFQiFeUyQIArZt24bt27dDEAQAj4pOeXm5ZOE6deqEnTt3YsaMGZgzZw4cHBywfPlylSUdpk6diuLiYowZMwZ5eXno0qULoqOjxTWsAGDZsmWoV68e/P39UVxcjJ49e2LDhg3iGlbAo6Uixo8fL949OGDAAKxYsULcr6uri3379mHMmDHw8vKCkZERAgIC+DxEIiIiEqldrDIyMmozxzP169cP/fr1e+Z+hUKBsLAwhIWFPXOMoaEhIiIiql3I08LCApGRkdVmadKkCfbu3fvczERERPRqUrtYVfXgZSIiIiL6P2pdvP74Ljx1Xb9+/YXCEBEREWkztYpVp06dEBwcrHLX3NPy8/Oxdu1auLi44Oeff5YsIBEREZG2UOtUYFpaGsLDw9G7d2/o6emhY8eOsLOzg6GhIfLy8nD+/HmcO3cOHTt2xKJFi9CnT5/azk1ERESkcdSasbKwsMDixYtx48YNrFy5Ei1btsQ///yDixcvAgCGDh2KpKQkHDlyhKWKiIiIXllqX7wOPLq7bvDgwRg8eHBt5SEiIiLSWjVaeZ2IiIiInk2tGauazFDxwnUiIiJ6Vak1Y6VUKsWXmZkZYmNjcfLkSXF/UlISYmNjoVQqay0oERERkaZTa8Zq/fr14q+nTZsGf39/rFq1SnwkTHl5OcaMGcNn5hEREdErrcbXWH3//feYPHmyynP2dHV1MWnSJHz//feShiMiIiLSJjUuVg8fPkRaWlql7WlpaaioqJAkFBEREZE2qtFyCwAwcuRIfPjhh7h06RLc3d0BAAkJCZg/fz5GjhwpeUAiIiIibVHjYrV48WLY2tpi2bJlyM7OBgA0atQIU6dORUhIiOQBiYiIiLRFjYuVjo4Opk6diqlTp6KgoAAAeNE6EREREV6gWD2JhYqIiIjo/6hVrNzc3KBQKNT6hMnJyf8qEBEREZG2UqtYDRo0qJZjEBEREWk/tYpVaGhobecgIiIi0nov9BDmu3fv4rvvvsOMGTOQm5sL4NEpwOvXr0sajoiIiEib1Pji9TNnzsDHxwdKpRJXr15FcHAwLCwssHPnTly7dg2bNm2qjZxEREREGq/GM1aTJk1CUFAQLl68CENDQ3F7nz59cPjwYUnDEREREWmTGherxMREjB49utL21157DTk5OZKEIiIiItJGNS5WhoaG4sKgT0pPT4eVlZUkoYiIiIi0UY2L1cCBAzFnzhyUlZUBABQKBTIzMzF9+nQMGTJE8oBERERE2qLGxWrx4sW4ffs2rK2tUVxcjG7duqFFixYwNTXF3LlzayMjERERkVao8V2BZmZmiI+Px4EDB5CcnIyKigq0b98ePj4+tZGPiIiISGu88LMCe/TogR49ekiZhYiIiEirqVWsvv76a3z88ccwNDTE119/Xe3Y8ePHSxKMiIiISNuoVayWLVuGwYMHo3Hjxli2bNkzxykUChYrIiIiemWpVawyMjLQoEEDREREICMjo7YzEREREWklte8KDA8Px9ixYzFkyBDcuXOnNjMRERERaSW1i9WYMWNw+vRp5OXloU2bNti9e3dt5iIiIiLSOjW6K9DBwQEHDhzAihUrMGTIEDg7O6NePdVPkZycLGlAIiIiIm1R4+UWrl27hh07dsDCwgIDBw6sVKyIiIiIXlU1akVr165FSEgIfHx8kJqaymcDEhERET1B7WLVu3dvnDhxAitWrMDw4cNrMxMRERGRVlK7WJWXl+PMmTNo3LhxbeYhIiIi0lpqF6uYmJjazEFERESk9dReboGIiIiIqsdiRURERCQRFisiIiIiibBYEREREUmExYqIiIhIIlpVrObNmweFQoEJEyaI2wRBQFhYGOzs7GBkZARvb2+cO3dO5eNKSkowbtw4WFpawsTEBAMGDMDff/+tMiYvLw+BgYFQKpVQKpUIDAzE3bt3VcZkZmaif//+MDExgaWlJcaPH4/S0tLaOlwiIiLSMlpTrBITE7FmzRq0bdtWZfvChQuxdOlSrFixAomJibC1tUWvXr1w7949ccyECROwc+dOREVFIT4+Hvfv30e/fv1QXl4ujgkICEBKSgr279+P/fv3IyUlBYGBgeL+8vJy9O3bF4WFhYiPj0dUVBR27NiBkJCQ2j94IiIi0gpaUazu37+PoUOHYu3atTA3Nxe3C4KA5cuXY+bMmRg8eDBcXFywceNGFBUVYevWrQCA/Px8rFu3DkuWLIGPjw/c3NwQGRmJs2fP4o8//gAApKWlYf/+/fjuu+/g4eEBDw8PrF27Fnv37kV6ejoAIDo6GufPn0dkZCTc3Nzg4+ODJUuWYO3atSgoKHj53xQiIiLSOFpRrMaOHYu+ffvCx8dHZXtGRgZycnLg6+srbjMwMEC3bt1w9OhRAEBSUhLKyspUxtjZ2cHFxUUcc+zYMSiVSnTp0kUc4+7uDqVSqTLGxcUFdnZ24hg/Pz+UlJQgKSnpmdlLSkpQUFCg8iIiIqK6qUYPYZZDVFQUkpOTkZiYWGlfTk4OAMDGxkZlu42NDa5duyaO0dfXV5npejzm8cfn5OTA2tq60ue3trZWGfP01zE3N4e+vr44pirz5s3DF1988bzDJCIiojpAo2essrKy8NlnnyEyMhKGhobPHKdQKFTeC4JQadvTnh5T1fgXGfO0GTNmID8/X3xlZWVVm4uIiIi0l0YXq6SkJNy6dQsdOnRAvXr1UK9ePcTFxeHrr79GvXr1xBmkp2eMbt26Je6ztbVFaWkp8vLyqh1z8+bNSl//9u3bKmOe/jp5eXkoKyurNJP1JAMDA5iZmam8iIiIqG7S6GLVs2dPnD17FikpKeKrY8eOGDp0KFJSUtC8eXPY2tqqPCC6tLQUcXFx8PT0BAB06NABenp6KmOys7ORmpoqjvHw8EB+fj5OnDghjjl+/Djy8/NVxqSmpiI7O1scEx0dDQMDA3To0KFWvw9ERESkHTT6GitTU1O4uLiobDMxMUHDhg3F7RMmTEB4eDgcHR3h6OiI8PBwGBsbIyAgAACgVCoxatQohISEoGHDhrCwsMDkyZPh6uoqXgzv7OyM3r17Izg4GKtXrwYAfPzxx+jXrx+cnJwAAL6+vmjdujUCAwOxaNEi5ObmYvLkyQgODuYsFBEREQHQ8GKljqlTp6K4uBhjxoxBXl4eunTpgujoaJiamopjli1bhnr16sHf3x/FxcXo2bMnNmzYAF1dXXHMli1bMH78ePHuwQEDBmDFihXifl1dXezbtw9jxoyBl5cXjIyMEBAQgMWLF7+8gyUiIiKNpnXF6tChQyrvFQoFwsLCEBYW9syPMTQ0REREBCIiIp45xsLCApGRkdV+7SZNmmDv3r01iUtERESvEI2+xoqIiIhIm7BYEREREUmExYqIiIhIIixWRERERBJhsSIiIiKSCIsVERERkURYrIiIiIgkwmJFREREJBEWKyIiIiKJsFgRERERSYTFioiIiEgiLFZEREREEmGxIiIiIpIIixURERGRRFisiIiIiCTCYkVEREQkERYrIiIiIomwWBERERFJhMWKiIiISCIsVkREREQSYbEiIiIikgiLFREREZFEWKyIiIiIJMJiRURERCQRFisiIiIiibBYEREREUmExYqIiIhIIixWRERERBJhsSIiIiKSCIsVERERkURYrIiIiIgkwmJFREREJBEWKyIiIiKJsFgRERERSYTFioiIiEgiLFZEREREEmGxIiIiIpIIixURERGRRFisiIiIiCTCYkVEREQkERYrIiIiIomwWBERERFJhMWKiIiISCIsVkREREQS0ehiNW/ePHTq1AmmpqawtrbGoEGDkJ6erjJGEASEhYXBzs4ORkZG8Pb2xrlz51TGlJSUYNy4cbC0tISJiQkGDBiAv//+W2VMXl4eAgMDoVQqoVQqERgYiLt376qMyczMRP/+/WFiYgJLS0uMHz8epaWltXLsREREpH00uljFxcVh7NixSEhIQExMDB4+fAhfX18UFhaKYxYuXIilS5dixYoVSExMhK2tLXr16oV79+6JYyZMmICdO3ciKioK8fHxuH//Pvr164fy8nJxTEBAAFJSUrB//37s378fKSkpCAwMFPeXl5ejb9++KCwsRHx8PKKiorBjxw6EhIS8nG8GERERabx6cgeozv79+1Xer1+/HtbW1khKSkLXrl0hCAKWL1+OmTNnYvDgwQCAjRs3wsbGBlu3bsXo0aORn5+PdevWYfPmzfDx8QEAREZGwt7eHn/88Qf8/PyQlpaG/fv3IyEhAV26dAEArF27Fh4eHkhPT4eTkxOio6Nx/vx5ZGVlwc7ODgCwZMkSBAUFYe7cuTAzM6vyGEpKSlBSUiK+LygokPz7RERERJpBo2esnpafnw8AsLCwAABkZGQgJycHvr6+4hgDAwN069YNR48eBQAkJSWhrKxMZYydnR1cXFzEMceOHYNSqRRLFQC4u7tDqVSqjHFxcRFLFQD4+fmhpKQESUlJz8w8b9488fSiUqmEvb39v/02EBERkYbSmmIlCAImTZqEN998Ey4uLgCAnJwcAICNjY3KWBsbG3FfTk4O9PX1YW5uXu0Ya2vrSl/T2tpaZczTX8fc3Bz6+vrimKrMmDED+fn54isrK6smh01ERERaRKNPBT7p008/xZkzZxAfH19pn0KhUHkvCEKlbU97ekxV419kzNMMDAxgYGBQbRYiIiKqG7RixmrcuHHYvXs3Dh48iMaNG4vbbW1tAaDSjNGtW7fE2SVbW1uUlpYiLy+v2jE3b96s9HVv376tMubpr5OXl4eysrJKM1lERET0atLoYiUIAj799FP8/PPPOHDgABwcHFT2Ozg4wNbWFjExMeK20tJSxMXFwdPTEwDQoUMH6OnpqYzJzs5GamqqOMbDwwP5+fk4ceKEOOb48ePIz89XGZOamors7GxxTHR0NAwMDNChQwfpD56IiIi0jkafChw7diy2bt2KXbt2wdTUVJwxUiqVMDIygkKhwIQJExAeHg5HR0c4OjoiPDwcxsbGCAgIEMeOGjUKISEhaNiwISwsLDB58mS4urqKdwk6Ozujd+/eCA4OxurVqwEAH3/8Mfr16wcnJycAgK+vL1q3bo3AwEAsWrQIubm5mDx5MoKDg595RyARERG9WjS6WK1cuRIA4O3trbJ9/fr1CAoKAgBMnToVxcXFGDNmDPLy8tClSxdER0fD1NRUHL9s2TLUq1cP/v7+KC4uRs+ePbFhwwbo6uqKY7Zs2YLx48eLdw8OGDAAK1asEPfr6upi3759GDNmDLy8vGBkZISAgAAsXry4lo6eiIiItI1GFytBEJ47RqFQICwsDGFhYc8cY2hoiIiICERERDxzjIWFBSIjI6v9Wk2aNMHevXufm4mIiIheTRp9jRURERGRNmGxIiIiIpIIixURERGRRFisiIiIiCTCYkVEREQkERYrIiIiIomwWBERERFJhMWKiIiISCIsVkREREQSYbEiIiIikgiLFREREZFEWKyIiIiIJMJiRURERCQRFisiIiIiibBYEREREUmExYqIiIhIIixWRERERBJhsSIiIiKSCIsVERERkURYrIiIiIgkwmJFREREJBEWKyIiIiKJsFgRERERSYTFioiIiEgiLFZEREREEmGxIiIiIpIIixURERGRRFisiIiIiCTCYkVEREQkERYrIiIiIomwWBERERFJhMWKiIiISCIsVkREREQSYbEiIiIikgiLFREREZFEWKyIiIiIJMJiRURERCQRFisiIiIiibBYEREREUmExYqIiIhIIixWRERERBJhsSIiIiKSCIsVERERkURYrF7At99+CwcHBxgaGqJDhw74888/5Y5EREREGoDFqoZ+/PFHTJgwATNnzsSpU6fw1ltvoU+fPsjMzJQ7GhEREcmMxaqGli5dilGjRuGjjz6Cs7Mzli9fDnt7e6xcuVLuaERERCSzenIH0CalpaVISkrC9OnTVbb7+vri6NGjVX5MSUkJSkpKxPf5+fkAgIKCAnFbeUlxLaSVzpNZq3PvQXktJ/l31D2Oh8UPaznJi1P3GAofau4xAOofR3FJUS0n+XfUOY4HZWUvIcmLU/f34v6DwlpO8u+oexxP/jzWNOoeQ1FR3fhZW16kXX+mHr8XBKH6DxRIbdevXxcACEeOHFHZPnfuXKFly5ZVfkxoaKgAgC+++OKLL774qgOvrKysarsCZ6xegEKhUHkvCEKlbY/NmDEDkyZNEt9XVFQgNzcXDRs2fObH/BsFBQWwt7dHVlYWzMzMJP/8LwuPQ3PUhWMA6sZx1IVjAHgcmqQuHAPwco5DEATcu3cPdnZ21Y5jsaoBS0tL6OrqIicnR2X7rVu3YGNjU+XHGBgYwMDAQGVbgwYNaiuiyMzMTKv/kjzG49AcdeEYgLpxHHXhGAAehyapC8cA1P5xKJXK547hxes1oK+vjw4dOiAmJkZle0xMDDw9PWVKRURERJqCM1Y1NGnSJAQGBqJjx47w8PDAmjVrkJmZiU8++UTuaERERCQzFqsaeu+993Dnzh3MmTMH2dnZcHFxwa+//oqmTZvKHQ3Ao1OPoaGhlU4/ahseh+aoC8cA1I3jqAvHAPA4NEldOAZAs45DIQjPu2+QiIiIiNTBa6yIiIiIJMJiRURERCQRFisiIiIiibBYEREREUmExYqIiKiGBEF4/jPj6JXEYkVERKSmTZs2wdXVFUZGRjAyMkLbtm2xefNmuWORBuE6VnVEYWEh4uLikJmZidLSUpV948ePlynV8z35HMXnWbp0aS0mIdIcgwcPVnvszz//XItJpJWYmIjt27dX+XNKG45j6dKlmDVrFj799FN4eXlBEAQcOXIEn3zyCf755x9MnDhR7ojP5ObmpvbzaZOTk2s5Td3GYlUHnDp1Cm+//TaKiopQWFgICwsL/PPPPzA2Noa1tbVGF6tTp06pNa42HlhdW5o3b47ExEQ0bNhQZfvdu3fRvn17XLlyRaZkNdO9e/dqv+8HDhx4iWnUV1BQID4rrKCgoNqxmvpstCefRyYIAnbu3AmlUomOHTsCAJKSknD37t0aFTC5RUVFYfjw4fD19UVMTAx8fX1x8eJF5OTk4J133pE7nloiIiKwcuVKDB8+XNw2cOBAtGnTBmFhYRpdrAYNGiT++sGDB/j222/RunVreHh4AAASEhJw7tw5jBkzRqaEL+ann37Ctm3bqizrchVEFqs6YOLEiejfvz9WrlyJBg0aICEhAXp6ehg2bBg+++wzueNV6+DBg3JHkNzVq1dRXl5eaXtJSQmuX78uQ6IX065dO5X3ZWVlSElJQWpqKkaMGCFPKDWYm5sjOzsb1tbWaNCgQZXlUBAEKBSKKn+fNMH69evFX0+bNg3+/v5YtWoVdHV1AQDl5eUYM2aMxhbDqoSHh2PZsmUYO3YsTE1N8b///Q8ODg4YPXo0GjVqJHc8tWRnZ1f5XFhPT09kZ2fLkEh9oaGh4q8/+ugjjB8/Hl9++WWlMVlZWS872gv7+uuvMXPmTIwYMQK7du3CyJEjcfnyZSQmJmLs2LGy5eLK63VAgwYNcPz4cTg5OaFBgwY4duwYnJ2dcfz4cYwYMQIXLlyQO+IrYffu3QAe/c9w48aNKrMO5eXliI2NRUxMDNLT0+WKKImwsDDcv38fixcvljtKleLi4uDl5YV69erh0KFD1c66devW7SUmezFWVlaIj4+Hk5OTyvb09HR4enrizp07MiWrGRMTE5w7dw7NmjWDpaUlDh48CFdXV6SlpaFHjx4aX0wAwMXFBQEBAfh//+//qWz/6quv8OOPP+Ls2bMyJasZpVKJkydPwtHRUWX7xYsX0bFjR+Tn58uUrGZatWqF0NBQfPDBBzA1NcXp06fRvHlzzJ49G7m5uVixYoUsuThjVQfo6emJ/3jY2NggMzMTzs7OUCqVyMzMlDldzWjzNRiPp9oVCkWlGR09PT00a9YMS5YskSGZtIYNG4bOnTtrbLF6six5e3vLF0QiDx8+RFpaWqVilZaWhoqKCplS1ZyFhQXu3bsHAHjttdeQmpoKV1dX3L17F0VFRTKnU88XX3yB9957D4cPH4aXlxcUCgXi4+MRGxuLbdu2yR1PbUZGRoiPj69UrOLj42FoaChTqprLzMwUZxCNjIzEP1+BgYFwd3dnsaIX5+bmhpMnT6Jly5bo3r07Zs+ejX/++QebN2+Gq6ur3PHUpu3XYDz+R87BwQGJiYmwtLSUOVHtOHbsmNb88PXy8kK3bt3g7e0NLy8vmJiYyB2pxkaOHIkPP/wQly5dgru7O4BH18PMnz8fI0eOlDmd+t566y3ExMTA1dUV/v7++Oyzz3DgwAHExMSgZ8+ecsdTy5AhQ3D8+HEsW7YMv/zyCwRBQOvWrXHixAm4ubnJHU9tEyZMwH//+18kJSWp/Jn6/vvvMXv2bJnTqc/W1hZ37txB06ZN0bRpUyQkJOCNN95ARkaGvEthCKT1EhMThQMHDgiCIAi3bt0S+vTpI5iamgpubm5CSkqKzOnU5+rqKqxYsUIQBEGoX7++cPnyZaGiokIIDg4WZs+eLXO6V88777yj8ho0aJDQpUsXQVdXVwgLC5M7nlrCw8MFPz8/wdTUVNDT0xPc3d2FadOmCb/99ptw7949ueOppby8XFiwYIFgZ2cnKBQKQaFQCHZ2dsKCBQuEhw8fyh1PbXfu3BGuX78uCML/HVP//v2FiRMnCrm5uTKne/X8+OOPgqenp2Bubi6Ym5sLnp6ewo8//ih3rBoZNWqU+LNo5cqVgpGRkeDj4yM0aNBA+PDDD2XLxWusSGPUhWswHouNjcWyZcuQlpYGhUKBVq1aYcKECfDx8ZE7mtqeng3R0dGBlZUVevToAV9fX5lSvZjy8nIkJibi0KFDOHToEA4cOACFQoGSkhK5o9XI47sctemi9bokOTkZenp64pmAXbt2Yf369WjdujXCwsKgr68vc8JXS0VFBSoqKlCv3qOTb9u2bUN8fDxatGiBTz75RLbfD54KJI1RF67BAIAVK1Zg4sSJePfdd8W7MhMSEvD2229j6dKl+PTTT2VO+Hzl5eUICgqCq6srLCws5I7zr128eBGnT5/G6dOncebMGZiZmeGtt96SO1aNaVuhqgtLXzxp9OjRmD59OlxdXXHlyhW89957GDx4MLZv346ioiIsX75c7og1Ulpailu3blW6Vq9JkyYyJaoZHR0d6Oj83zrn/v7+8Pf3lzHRI5yx0lJ1cbG3gIAAdOzYEZMmTcLcuXPxv//9DwMHDkRMTAzat2+v8RevP/baa69hxowZlQrUN998g7lz5+LGjRsyJasZQ0NDpKWlwcHBQe4oL+zxhcYVFRXo2rUrunbtim7duqFt27ZyR6sRTVyrRx26urri0hc6OjpaufTFk5RKJZKTk/H6669jwYIFOHDgAH7//XccOXIE77//vtYsVXDx4kV8+OGHOHr0qMp2bfq9AIDDhw9Xu79r164vKYkqzlhpqScXe6srVqxYgQcPHgAAZsyYAT09PcTHx2Pw4MGYNWuWzOnUV1BQgN69e1fa7uvri2nTpsmQ6MU8/l+5Nher7du3w9LSEkFBQejevTveeust1K9fX+5YNaKpa/Wo48CBA+KMZ11Ys04QBHF2548//kC/fv0AAPb29vjnn3/kjFYjQUFBqFevHvbu3YtGjRpp1QLMT6rqrt8nj0WugsgZKyKJDR06FO3atcOUKVNUti9evBhJSUn44YcfZEpWM9HR0Zg2bRq+/PJLdOjQodIdddpw6ubu3bs4fPgwDh06hLi4OJw7dw5vvPEGvL294e3tjT59+sgd8bk0da2eV1GPHj1gb28PHx8fjBo1CufPn0eLFi0QFxeHESNG4OrVq3JHVIuJiQmSkpLQqlUruaP8K0+vt1VWVoZTp05h1qxZmDt3rmx3m7JYkcZ41jUYCoUCBgYGWnNh6FdffYXFixfDy8tL5XERR44cQUhIiEoh0eTHDT157cKT/wvUttMFT7p8+TK++uorREZGoqKiQiuOwdjYGGlpaWjatCmsra0RExODN954AxcvXoS7u7vWLBAKAHl5eVi3bp14U4ezszNGjhypNdfxnTlzBkOHDkVmZiYmTZokrmY+btw43LlzB1u3bpU5oXo6deqEZcuW4c0335Q7Sq04fPgwJk6ciKSkJFm+PotVHVBeXo5ly5Y98xqM3NxcmZLVzLOuwXiscePGCAoKQmhoqMo/+ppG3VNnCoVCo58bGBcXV+1+bVi1PDc3F3FxceLdgOfOnYOFhQW6du2K7t27a/ypNODRsyd/+ukntG/fHp06dcJHH32E0aNHIzo6Gu+//77W/P2Oi4vDgAEDqnzm4e7du7Xiz9OzPHjwALq6utDT05M7iloOHDiAzz//HOHh4XB1da2UWxtmo6uTlpaGTp064f79+7J8fRarOmD27Nn47rvvMGnSJMyaNQszZ87E1atX8csvv2D27NkaPSvypE2bNmHmzJkICgpC586dIQgCEhMTsXHjRnz++ee4ffs2Fi9ejClTplR6pARRVXR1dWFpaYm33npLPP3n4uIid6wa+eijj2Bvb4/Q0FCsWrUKkyZNgpeXF06ePInBgwdj3bp1ckdUi4uLCzw9PbFy5cpKzzw8cuQIUlNTZU746nj8H9On/yOrbbPRZ86cUXkvCAKys7Mxf/58lJWV4ciRI7LkYrGqA15//XV8/fXX6Nu3L0xNTZGSkiJuS0hI0Jrp6Z49e2L06NGVbpfdtm0bVq9ejdjYWGzevBlz587V6OcfHjp0qE48SgUA/vzzT6xevRpXrlzB9u3b8dprr2Hz5s1wcHDQitMIqampWleknqapa/XUlJGREVJSUqp85mG7du1QXFwsUzL11ZWzA3VhNhr4v7McT9cYd3d3fP/99/JdQ/YyVyOl2mFsbCxcu3ZNEARBsLW1FZKSkgRBEITLly8LZmZmckarESMjI+Gvv/6qtP2vv/4SjIyMBEEQhCtXroi/1lQGBgZC8+bNhS+//FLIzMyUO84L++mnnwQjIyPho48+EgwMDITLly8LgiAI33zzjdCnTx+Z05G28fT0FHbu3Flp+86dOwV3d/eXH+gFzJo1S2jUqJGwaNEiwdDQUPjyyy+FUaNGCQ0bNhT+97//yR3vlXP16lWVV2ZmplBcXCx3LIHLLdQBjRs3RnZ2Npo0aYIWLVogOjoa7du3R2JiIgwMDOSOp7bGjRtj3bp1mD9/vsr2devWwd7eHgBw584dmJubyxFPbTdu3EBkZCQ2bNiAsLAw9OzZE6NGjcKgQYO0ZnYBeHQR/qpVqzB8+HBERUWJ2z09PTFnzhwZk9WMtq4B9aS7d+/ixIkTVS7mOHz4cJlSPd+Tp2rGjx+Pzz77rNIzD7/55ptKf+c11ZYtW7B27Vr07dsXX3zxBT744AO8/vrraNu2LRISErTmsovHioqKqvx7oS3rvDVt2lTuCFXiqcA6YPr06TAzM8P/+3//Dz/99BM++OADNGvWDJmZmZg4caLW/NDavXs3/vOf/6BVq1bo1KkTFAoFEhMTceHCBfz000/o168fVq5ciYsXL2Lp0qVyx1VLSkoKvv/+e/zwww+oqKjA0KFDMWrUKLzxxhtyR3suY2NjnD9/Hs2aNVO5zf/KlSto3bq1uOaYJntyDai1a9dWWgNq7ty5ckd8rj179mDo0KEoLCyEqampynUxCoVCo08/PetUzdO05boeExMTpKWloUmTJmjUqBH27duH9u3b48qVK3Bzc6t0+7+mun37NkaOHInffvutyv3a8HsBPPr7XRWFQgFDQ0O0aNECXbt2Fa/pe2lknjGjWnDs2DFhyZIlwq5du+SOUmMZGRnCtGnTxIf+Tp8+XcjIyJA71r9y/fp1ITQ0VDAwMBBMTEwEXV1d4c033xRSU1Pljlat5s2bCzExMYIg/N9DsQVBEDZu3Cg4OzvLGU1tTk5OwtatWwVBUD2GWbNmCWPHjpUzmtocHR2Fzz77TCgsLJQ7So09faqmupc2aNmypZCQkCAIgiC8+eabwrx58wRBEISoqCjByspKzmg1EhAQIHh6egonTpwQTExMhOjoaGHz5s2Ck5OTsHfvXrnjqa1Zs2aCiYmJoFAoBAsLC8Hc3FxQKBSCiYmJYGNjIygUCuH1119/6ZdksFgR1YLS0lJh+/btQp8+fYR69eoJ7u7uwtq1a4X79+8LmZmZwgcffKDx5WTBggVC69athYSEBMHU1FT4888/hcjISMHKykqIiIiQO55ajIyMxH+0rayshJSUFEEQHl23Z2FhIWc0tRkbG4uFkOQ1bdo0Ye7cuYIgCML27duFevXqCS1atBD09fWFadOmyZxOfba2tsLx48cFQRAEU1NTIT09XRAEQdi1a5fg5eUlZ7Qa2bp1q+Dt7S1cunRJ3Hbx4kWhR48eQlRUlJCVlSV4eXkJQ4YMeam5eI1VHXH9+nUcOXKkymswtOm8v7bfhQY8Wizw8erqw4YNw8KFC1XuTDMxMcH8+fPRrFkzmRKqZ+rUqSgoKED37t3x4MEDdO3aFQYGBpg8ebJWPEgaAGxtbXHnzh00bdoUTZs2RUJCAt544w1kZGQ89/SUpvDz88PJkyfRvHlzuaP8a9r6c6qiogI6Ojoql1W8++67sLe3x5EjR9CiRQsMGDBAxoQ1U1hYCGtrawCAhYUFbt++jZYtW8LV1VVrrjsEgM8//xw7duzA66+/Lm5r0aIFFi9ejCFDhuDKlStYuHAhhgwZ8lJzsVjVAevXrxdvu27YsGGlazA0+QfWk3bs2IHAwEAMHToUycnJKCkpAQDcu3cP4eHh+PXXX2VOqJ7z588jIiICQ4YMeebF6nZ2dhr77LSioiJMmTIFv/zyC8rKytC/f3+EhIQAAFq3bq1Vz9rr0aMH9uzZg/bt22PUqFGYOHEifvrpJ3ENKE21e/du8dd9+/bFlClTcP78+SoXc9SWf9C1+eeUnp6e+DBpAJgyZQpmzJiBLl26oEuXLjKnqzknJyekp6ejWbNmaNeuHVavXo1mzZph1apVaNSokdzx1JadnY2HDx9W2v7w4UPk5OQAePSz9t69ey832EudH6Na0bhxY+Grr74SysvL5Y7yr7Rr107YuHGjIAiq18OcOnVKsLGxkTPaK2Xy5MmCsbGxEBwcLIwfP16wtLQU3n33XbljvZDy8nKhrKxMfP/jjz8K48aNE/73v/8JJSUlMiarnkKhUOulo6Mjd1S1afPPKYVCIdy8eVN8b2pqqtWnZyMjI4X169cLgiAIycnJgpWVlaCjoyMYGhoKUVFR8oargbffflto3769kJycLG5LTk4WOnToIPTt21cQBEHYvXu34OLi8lJz8a7AOqBhw4Y4ceKEynSoNqoLd6EBqrMNT3ryThV1H3sjh9dffx1z587F+++/DwA4ceIEvLy8xMd2EL0Ibf45paOjg5ycHHHG6smfT3VBUVERLly4gCZNmsDS0lLuOGrLyclBYGAgYmNjxZnchw8fomfPnti8eTNsbGxw8OBBlJWVwdfX96Xl4qnAOmDUqFHYvn07pk+fLneUf6VRo0a4dOlSpWuP4uPjteoH2KBBg6q8xfzxNoVCgTfffBO//PKLRq7JlZWVhbfeekt837lzZ9SrVw83btwQ1xPTZE8/5qI6mrxez4EDB/Dpp58iISGh0rPb8vPz4enpiVWrVqn8XmmyuvJzqi4yNjZG+/bt5Y5RY7a2toiJicGFCxfw119/QRAEtGrVSmV1/+7du7/0XJyxqgPKy8vRr18/FBcXV3kNhras+bRw4UJs3LgR33//PXr16oVff/0V165dw8SJEzF79mytuWA6NjYWM2fOxNy5c9G5c2cAj2Z9Pv/8c8yaNQtKpRKjR49Gly5dNPI5b7q6usjJyYGVlZW4zdTUFGfOnNHombbH6sraSQMGDED37t0xceLEKvd//fXXOHjwIHbu3PmSk70Ybf45paOjg48//hjGxsYAgG+++QbDhg2DUqlUGafJxzBp0iS1x2rycWgDzljVAeHh4fj999/Flv70RaHaYurUqcjPz9fqu9AA4LPPPsOaNWvg6ekpbuvZsycMDQ3x8ccf49y5c1i+fDk+/PBDGVM+myAICAoKUlm1/8GDB/jkk09gYmIibvv555/liPdcGRkZckeQxOnTp7FgwYJn7vf19cXixYtfYqJ/R5t/TnXt2hXp6enie09PT1y5ckVljKYfw6lTp9Qap+nH8bS///4bu3fvrnIFebkKImes6gBzc3MsW7YMQUFBckeRRFFREc6fP4+KigqtuwsNePSw2cTExEoP/z179iw6d+6M4uJiXLt2Dc7OzigqKpIp5bONHDlSrXHr16+v5SSvNkNDQ6SmpqJFixZV7r906RJcXV214uHFQN37OUXyi42NxYABA+Dg4ID09HS4uLjg6tWrEAQB7du3x4EDB2TJxRmrOsDAwABeXl5yx5CMsbExOnbsKHeMF9ahQwdMmTIFmzZtEk+n3b59G1OnTkWnTp0AABcvXkTjxo3ljPlMdbEwnT9/vsr/0WryUgWvvfYazp49+8xidebMGa26Nb6u/Zwi+c2YMQMhISGYM2cOTE1NsWPHDlhbW2Po0KHo3bu3bLk4Y1UHzJs3D9nZ2c98bpK2KCwsxPz58xEbG1vlAoJPT71rqvT0dAwcOBAZGRmwt7eHQqFAZmYmmjdvjl27dqFly5b45ZdfcO/ePQQGBsodt067cuUK3nnnHZw9e1bluqvHpzs0+RqrcePG4dChQ0hMTIShoaHKvuLiYnTu3Bndu3fXmr/3deXnlLYaPHgwNmzYADMzs+eu4aapp/mfZmpqipSUFLz++uswNzdHfHw82rRpg9OnT2PgwIG4evWqLLk4Y1UHnDhxAgcOHMDevXvRpk2bSheFastfko8++ghxcXEIDAxEo0aNtO5c/2NOTk5IS0tDdHQ00tPTxTtVevXqBR0dHQCP7hyk2vfZZ5/BwcEBf/zxB5o3b44TJ07gzp07CAkJ0fjrkz7//HP8/PPPaNmyJT799FM4OTlBoVAgLS0N33zzDcrLyzFz5ky5Y6qtrvyc0lZKpVL8mfr0RffaysTERFxI2s7ODpcvX0abNm0AAP/8849suVis6oAGDRpo9CrS6vrtt9+wb98+rT1d8Pbbb+OHH34Qf4CdPHkSY8eORYMGDQAAd+7cwVtvvYXz58/LG/QVcuzYMRw4cABWVlbQ0dGBjo4O3nzzTcybNw/jx49X+4JeOdjY2ODo0aP473//ixkzZqjMtvn5+eHbb7+FjY2NzCnVV1d+TmmrJ0/x15XT/e7u7jhy5Ahat26Nvn37IiQkBGfPnsXPP/8Md3d32XLxVCBpDAcHB/z6669wdnaWO8oL0dXVVXnshZmZGVJSUsQ1uG7evAk7OzuNPv1U15ibmyMpKQnNmzfH66+/ju+++w7du3fH5cuX4erqqpE3D1QlLy8Ply5dgiAIcHR01Mj1z0h7zJkzB2+++SZ69Oihsr2wsBBLlizB7NmzZUpWM1euXMH9+/fRtm1bFBUVYfLkyYiPj0eLFi2wbNkyNG3aVJZcLFZ1xMOHD3Ho0CFcvnwZAQEBMDU1xY0bN2BmZqY1d9VFRkZi165d2Lhxo7hejDZ53urMLFYv31tvvYWQkBAMGjQIAQEByMvLw+eff441a9YgKSkJqampckckLVRUVFTlzRCavODsk3R0dKCnp4d58+aprG+lTT+jysvLER8fj7Zt22rcfzR4KrAOuHbtGnr37o3MzEyUlJSgV69eMDU1xcKFC/HgwQOsWrVK7ohqWbJkCS5fvgwbGxs0a9as0jUY2vTUddIMn3/+OQoLCwEAX331Ffr164e33noLDRs2RFRUlMzpXj0//fQTtm3bVmUp0Ya/37dv38bIkSPx22+/VblfGwrJY5s2bcKnn36KM2fOYM2aNc98YLym0tXVhZ+fH9LS0lisSHqfffYZOnbsiNOnT6Nhw4bi9nfeeQcfffSRjMlqRtsv6FYoFJUuuNfWC/DrCj8/P/HXzZs3x/nz55Gbmwtzc3P+3rxkX3/9NWbOnIkRI0Zg165dGDlyJC5fvozExESMHTtW7nhqmTBhAvLy8pCQkIDu3btj586duHnzJr766issWbJE7ng10r17dyQkJKB///7w9vbWmhX8n+Tq6oorV65o3BMheCqwDrC0tMSRI0fg5OSkcvrp6tWraN26tdZcR6LtdHR00KdPH3HF8j179qBHjx7iauUlJSXYv3+/Vv2vVlupu6r9999/X8tJ6LFWrVohNDQUH3zwgcrPqdmzZyM3NxcrVqyQO+JzNWrUCLt27ULnzp1hZmaGkydPomXLlti9ezcWLlyI+Ph4uSOq5cnrQQsKCuDv749z585h1apVGDBggNb8jIqOjsa0adPw5ZdfokOHDipPhgBQ6RmbLwtnrOqAioqKKv8i/P333zA1NZUh0Yu7e/cufvrpJ1y+fBlTpkyBhYUFkpOTYWNjg9dee03ueNUaMWKEyvthw4ZVGjN8+PCXFeeVtmHDBjRt2hRubm7PfWYgvRyZmZniY56MjIxw7949AEBgYCDc3d21olgVFhaK11BaWFjg9u3baNmyJVxdXbXiVOZjT/6dMDMzw6+//ooJEyZo3VmDx4uADhgwQGUG+vHD7uUqiCxWdUCvXr2wfPlyrFmzBsCj00/3799HaGgo3n77bZnTqe/MmTPw8fGBUqnE1atXERwcDAsLC+zcuRPXrl3Dpk2b5I5YrbpyC3Nd8MknnyAqKgpXrlzBhx9+iGHDhsHCwkLuWK80W1tb3LlzB02bNkXTpk2RkJCAN954AxkZGVpTfp2cnJCeno5mzZqhXbt2WL16NZo1a4ZVq1Zp1Sr469evV1nLSkdHB19//TXc3Nxw+PBhGZPVzMGDB+WOUDWBtN7169eFli1bCs7OzkK9evUEd3d3oWHDhoKTk5Nw8+ZNueOprWfPnsKUKVMEQRCE+vXrC5cvXxYEQRCOHDkiNG3aVMZkpI0ePHggbN26VfDx8RGMjY2F//znP8L+/fuFiooKuaO9kkaNGiWEhYUJgiAIK1euFIyMjAQfHx+hQYMGwsiRI2VOp57IyEhh/fr1giAIQnJysmBlZSXo6OgIhoaGQlRUlLzhSGPwGqs6ori4GFFRUUhKSkJFRQXat2+PoUOHwsjISO5oalMqlUhOTsbrr7+ucg3GtWvX4OTkhAcPHsgdkbTUtWvXsGHDBmzatAllZWU4f/681ixDUldUVFSgoqIC9eo9OlGybds2cc2h//73v5XuAtYGRUVFuHDhApo0aQJLS0u549RIYWEh4uLiqrxDc/z48TKlejGatvwFTwXWAYcPH4anpydGjhyJkSNHitsfPnyIw4cPo2vXrjKmU5+hoSEKCgoqbU9PTxcfZkz0Ih7fsSkIQqVnUFLt6tmzJ8aOHYvBgweLj3QCAH9/f/j7++Off/6Bk5OT1jwL9EnGxsZo37693DFq7NSpU3j77bdRVFSEwsJCWFhY4J9//oGxsTGsra21plhp6vIXOs8fQpque/fuyM3NrbQ9Pz8f3bt3lyHRixk4cCDmzJmDsrIyABAfXjx9+nQMGTJE5nSkbUpKSvDDDz+gV69ecHJywtmzZ7FixQpkZmZytuolOnjwIPz9/REaGlrl/vLycly7du0lp3ox5eXlWLduHQICAuDj44MePXqovLTFxIkT0b9/f+Tm5sLIyAgJCQm4du0aOnTooPHP0HzSk8tfGBkZYf/+/di4cSMcHR2xe/du2XJxxqoOEP7/OyCedufOnUq3n2qyxYsX4+2334a1tTWKi4vRrVs3ZGdnw8PDA3PnzpU7HmmRMWPGICoqCk2aNMHIkSMRFRWlssYbvVwrV67ElClTcObMGWzevFlri+1nn32GDRs2oG/fvnBxcdHatdBSUlKwevVq6OrqQldXFyUlJWjevDkWLlyIESNGaM0zHQ8cOIBdu3ahU6dO0NHRQdOmTdGrVy+YmZlh3rx56Nu3ryy5WKy02OM//AqFAkFBQeL6ScCj/1mdOXNGvL1ZG5iZmSE+Ph4HDhxAcnIyKioq0KFDB/Ts2VPuaKRlVq1ahSZNmsDBwQFxcXGIi4urctzPP//8kpO9mgYOHIg333wTgwYNgoeHB3bt2iU+6kmbREVFYdu2bVp1t3VV9PT0xFJoY2ODzMxMODs7Q6lUIjMzU+Z06tPU5S9YrLTY49tlBUGAqampyoXq+vr6cHd3R3BwsFzx1Hb8+HHk5uaiT58+AIAePXogKysLoaGhKCoqwqBBgxAREaFSHImqM3z4cK2dTairnJ2dceLECXzwwQfo1KkTfvzxR/j4+Mgdq0b09fXRokULuWP8a25ubuLipt27d8fs2bPxzz//YPPmzXB1dZU7nto0dvkLWe9JJEmEhYUJ9+/flzvGC+vdu7cwf/588f2ZM2cEPT094aOPPhKWLFki2NraCqGhofIFJKIXplAoVJZ9qaioEKZNmybo6ekJS5cuFXJycgQdHR0ZE6pv8eLFwpgxY7R+yY7ExEThwIEDgiAIwq1bt4Q+ffoIpqamgpubm5CSkiJzOvVp6vIXXG6BZNeoUSPs2bMHHTt2BADMnDkTcXFx4uMhtm/fjtDQUJw/f17OmET0Ap58fMqTfvzxR4waNQrdu3fHr7/+qhWPUXnnnXdw8OBBWFhYoE2bNpWWiOCpZXlpyvIXPBVYR2jzU+Pz8vJgY2Mjvo+LixMfVQAAnTp1QlZWlhzRiOhfetb/3d977z04OTlp1WNUGjRogHfeeUfuGP/a2rVr4e3tDUdHR7mjSEpTlr9gsaoDtP2p8TY2NsjIyIC9vT1KS0uRnJyML774Qtx/7949rVw8kIggzvBUpV27dkhKSsK+fftecqoXU1ceW7VkyRJ88sknsLGxQbdu3eDt7Y1u3bqhVatWckerkXfffRcdO3bE9OnTVbYvWrQIJ06cwPbt22XJxVOBdYC2PzV+9OjROHv2LBYsWIBffvkFGzduxI0bN6Cvrw8A2LJlC5YvX47ExESZkxIR1Q05OTk4ePAg4uLicOjQIVy8eBFWVlbw9vZGVFSU3PHUYmVlhQMHDlS64P7s2bPw8fHBzZs3ZcnFYlUHGBsbIy0tDU2bNoW1tTViYmLwxhtv4OLFi3B3d8edO3fkjlit27dvY/DgwThy5Ajq16+PjRs3qky39+zZE+7u7lzLioheuvbt2yM2Nhbm5uZwc3Or9m5TTb/soiqFhYWIj49HVFQUIiMjIQgCHj58KHcstRgZGSElJQVOTk4q2y9cuAA3NzcUFxfLkounAusAbX9qvJWVFf7880/k5+ejfv360NXVVdm/fft2rV1QkIi028CBA8WlXgYOHFgnlvH47bffxJmq06dPo02bNujatSt27NiBt956S+54anNxccGPP/6I2bNnq2yPiopC69atZUrFGas64aOPPoK9vT1CQ0OxatUqTJo0CV5eXjh58iQGDx6MdevWyR2RiKhOE57xBAxNpKOjAysrK4SEhGD06NHimojaZvfu3RgyZAgCAgLERwrFxsbihx9+wPbt22W7MYLFqg6o7qnxn3zyiXitEhERvbh58+ZhxowZlbaXl5dj2LBh+OGHH2RIVXPLly/H4cOH8eeff0JXV1e8gN3b2xvOzs5yx6uRffv2ITw8HCkpKTAyMkLbtm0RGhqKbt26yZaJxYqIiEgNNjY2+PLLL/Hxxx+L28rLy/H+++8jNTUVaWlpMqZ7MWfPnkVcXBwOHjyIPXv2oGHDhsjOzpY7llbjNVZ1wOHDh6vd37Vr15eUhIio7vr111/h4+ODBg0awN/fH2VlZXjvvfdw4cIFHDx4UO54NXbq1CkcOnQIBw8exJ9//omKigo0btxY7lhajzNWdYCOjk6lbU+e69eGFY2JiLTBoUOHMHDgQGzatAnr1q3D5cuXceDAAZVFjjXdgAEDEB8fj4KCArRr1048Ddi1a1eYmZnJHa9aFhYW+Ouvv2BpaQlzc/Nqr2vLzc19icn+D2es6oC8vDyV92VlZTh16hRmzZrFJQqIiCTk7e2NzZs3Y8iQIXB2dkZcXJysj095ES1btsTHH3+sFUXqacuWLYOpqan4a028YYAzVnXY4cOHMXHiRCQlJckdhYhIKw0ePLjK7QkJCWjRooVKqdL0ZwUeP34cubm56NOnj7ht06ZNCA0NRWFhIQYNGoSIiAhxeQl6MZyxqsOsrKyQnp4udwwiIq31rKUI/Pz8XnKSfy8sLAze3t5isTp79ixGjRqFoKAgODs7Y9GiRbCzs0NYWJi8QZ9DR0fnuTNVCoVCtoVOOWNVB5w5c0blvSAIyM7Oxvz581FWVoYjR47IlIyIqG4QBAGZmZmwsrKCsbGx3HFeSKNGjbBnzx507NgRADBz5kzExcUhPj4ewKPFmENDQ3H+/Hk5Yz7Xrl27nrnv6NGjiIiIgCAIXHmdXly7du2gUCgqrbLu7u6O77//XqZURER1hyAIcHR0xLlz5+Do6Ch3nBeSl5encpF9XFwcevfuLb7v1KkTsrKy5IhWIwMHDqy07cKFC5gxYwb27NmDoUOH4ssvv5Qh2SMsVnVARkaGyvvHq+oaGhrKlIiIqG7R0dGBo6Mj7ty5o7XFysbGBhkZGbC3t0dpaSmSk5PxxRdfiPvv3bsHPT09GRPW3I0bNxAaGoqNGzfCz88PKSkpcHFxkTUTi5UWKy4uRmxsLPr16wcAmDFjBkpKSsT99erVw5w5c1iwiIgksHDhQkyZMgUrV66U/R/vF9G7d29Mnz4dCxYswC+//AJjY2OVZwOeOXMGr7/+uowJ1Zefn4/w8HBERESgXbt2iI2N1ZjnHPIaKy22evVq7N27F3v27AEAmJqaok2bNjAyMgLwaGp06tSpmDhxopwxiYjqBHNzcxQVFeHhw4fQ19cXf9Y+Jte6Seq6ffs2Bg8ejCNHjqB+/frYuHEj3nnnHXF/z5494e7urvHL9CxcuBALFiyAra0twsPDqzw1KCcWKy3WtWtXTJw4UfyLYWpqitOnT6N58+YAgMjISHzzzTc4duyYnDGJiOqEjRs3Vrt/xIgRLynJv5Ofn4/69etDV1dXZXtubi7q16+v8c+X1dHRgZGREXx8fCodw5PkWv6CpwK12F9//YWWLVuK7w0NDVVWYe/cuTPGjh0rRzQiojpHW4rT8zxrCQkLC4uXnOTFDB8+XCMXBn2MxUqL5efno169//stvH37tsr+iooKlWuuiIjoxWVmZla7v0mTJi8pyattw4YNckeoFouVFmvcuDFSU1Ph5ORU5f4zZ87wgZpERBJp1qxZtTMlfC4rASxWWu3tt9/G7Nmz0bdv30p3/hUXF+OLL75A3759ZUpHRFS3nDp1SuX94+eyLl26VOMv+KaXhxeva7GbN2+iXbt20NfXx6effoqWLVtCoVDgwoULWLFiBR4+fIhTp05p1VPXiYi0zb59+7Bo0SIcOnRI7iikAVistFxGRgb++9//IiYmRlx5XaFQoFevXvj222/FOwSJiKh2XLx4Ee3atUNhYaHcUUgDsFjVEbm5ubh06RIAoEWLFlpzdwcRkbYoKChQef/4uaxhYWG4cOECUlJS5AlGGoXFioiISA06OjqVLl4XBAH29vaIioqCh4eHTMlIk7BYERERqSEuLk7l/ePnsrZo0UJl6Rt6tbFYEREREUmEFZuIiEgNd+7cQcOGDQEAWVlZWLt2LYqLi9G/f3907dpV5nSkKThjRUREVI2zZ8+if//+yMrKgqOjI6KiotC7d28UFhZCR0cHhYWF+OmnnzBo0CC5o5IG0Hn+ECIiolfX1KlT4erqiri4OHh7e6Nfv354++23kZ+fj7y8PIwePRrz58+XOyZpCM5YERERVcPS0hIHDhxA27Ztcf/+fZiZmeHEiRPo2LEjAODChQtwd3fH3bt35Q1KGoEzVkRERNXIzc2Fra0tAKB+/fowMTFRWSvQ3Nwc9+7dkyseaRgWKyIioud4ev2q6h7GTK823hVIRET0HEFBQTAwMAAAPHjwAJ988glMTEwAACUlJXJGIw3Da6yIiIiqMXLkSLXGrV+/vpaTkDZgsSIiIiKSCK+xIiIiIpIIixURERGRRFisiIiIiCTCYkVEREQkERYrIiIiIomwWBERERFJhMWKiF4ZOTk5GDduHJo3bw4DAwPY29ujf//+iI2Nfak5FAoFfvnll5f6NYno5eDK60T0Srh69Sq8vLzQoEEDLFy4EG3btkVZWRl+//13jB07FhcuXJA7ooqysjLo6enJHYOIaogzVkT0ShgzZgwUCgVOnDiBd999Fy1btkSbNm0wadIkJCQkAAAyMzMxcOBA1K9fH2ZmZvD398fNmzfFzxEUFIRBgwapfN4JEybA29tbfO/t7Y3x48dj6tSpsLCwgK2tLcLCwsT9zZo1AwC88847UCgU4vuwsDC0a9cO33//vTijtnHjRjRs2LDSI1OGDBmC4cOHS/a9ISLpsFgRUZ2Xm5uL/fv3Y+zYseLz3Z7UoEEDCIKAQYMGITc3F3FxcYiJicHly5fx3nvv1fjrbdy4ESYmJjh+/DgWLlyIOXPmICYmBgCQmJgI4NHjT7Kzs8X3AHDp0iVs27YNO3bsQEpKCvz9/VFeXo7du3eLY/755x/s3btX7cesENHLxVOBRFTnXbp0CYIgoFWrVs8c88cff+DMmTPIyMiAvb09AGDz5s1o06YNEhMT0alTJ7W/Xtu2bREaGgoAcHR0xIoVKxAbG4tevXrBysoKwKMyZ2trq/JxpaWl2Lx5szgGAAICArB+/Xr85z//AQBs2bIFjRs3VpklIyLNwRkrIqrzHj8SVaFQPHNMWloa7O3txVIFAK1bt0aDBg2QlpZWo6/Xtm1blfeNGjXCrVu3nvtxTZs2VSlVABAcHIzo6Ghcv34dwKOZrqCgoGqPhYjkw2JFRHWeo6MjFApFtQVJEIQqy8qT23V0dPD0c+vLysoqfczTF50rFApUVFQ8N2dVpynd3NzwxhtvYNOmTUhOTsbZs2cRFBT03M9FRPJgsSKiOs/CwgJ+fn745ptvUFhYWGn/3bt30bp1a2RmZiIrK0vcfv78eeTn58PZ2RkAYGVlhezsbJWPTUlJqXEePT09lJeXqz3+o48+wvr16/H999/Dx8dHZVaNiDQLixURvRK+/fZblJeXo3PnztixYwcuXryItLQ0fP311/Dw8ICPjw/atm2LoUOHIjk5GSdOnMDw4cPRrVs3dOzYEQDQo0cPnDx5Eps2bcLFixcRGhqK1NTUGmdp1qwZYmNjkZOTg7y8vOeOHzp0KK5fv461a9fiww8/rPHXI6KXh8WKiF4JDg4OSE5ORvfu3RESEgIXFxf06tULsbGxWLlypbhop7m5Obp27QofHx80b94cP/74o/g5/Pz8MGvWLEydOhWdOnXCvXv3XmjZgyVLliAmJgb29vZwc3N77ngzMzMMGTIE9evXr7TcAxFpFoXw9AUDRESkcXr16gVnZ2d8/fXXckchomqwWBERabDc3FxER0dj6NChOH/+PJycnOSORETV4DpWREQarH379sjLy8OCBQtYqoi0AGesiIiIiCTCi9eJiIiIJMJiRURERCQRFisiIiIiibBYEREREUmExYqIiIhIIixWRERERBJhsSIiIiKSCIsVERERkUT+P2/5uJQCGaP6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_yei=df.sort_values('Yield(Kg / Hectare)' , ascending=False).head(10) # to get top contrries ascending order\n",
    "ax = sns.barplot(data = df_yei,  x= \"Country\", y = \"Yield(Kg / Hectare)\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation =90) # to rotate the x-axis name\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b00d8e08",
   "metadata": {},
   "source": [
    "### Which country has highest Production per Person?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "5e12839b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pro=df.sort_values('Production_per_Person(Kg)', ascending=False).head(10)\n",
    "# to get top contrries ascending order\n",
    "ax = sns.barplot(data = df_pro,  x= \"Country\", y = \"Production_per_Person(Kg)\")\n",
    "ax.set_xticklabels(ax.get_xticklabels(),rotation =90) # to rotate the x-axis name\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "id": "a314bc49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country                       object\n",
       "Continent                     object\n",
       "Production(Tons)             float64\n",
       "Production_per_Person(Kg)     object\n",
       "Acreage(Hectare)             float64\n",
       "Yield(Kg / Hectare)          float64\n",
       "Production per Person(Kg)    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pro.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2fb2afb",
   "metadata": {},
   "source": [
    "## Correlation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "id": "37e8b215",
   "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>Continent</th>\n",
       "      <th>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>768678382.0</td>\n",
       "      <td>3668.531</td>\n",
       "      <td>10226205.0</td>\n",
       "      <td>75167.5</td>\n",
       "      <td>3668.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>India</td>\n",
       "      <td>Asia</td>\n",
       "      <td>348448000.0</td>\n",
       "      <td>260721</td>\n",
       "      <td>4950000.0</td>\n",
       "      <td>70393.5</td>\n",
       "      <td>260721.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>China</td>\n",
       "      <td>Asia</td>\n",
       "      <td>123059739.0</td>\n",
       "      <td>88287</td>\n",
       "      <td>1675215.0</td>\n",
       "      <td>73459.1</td>\n",
       "      <td>88287.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Thailand</td>\n",
       "      <td>Asia</td>\n",
       "      <td>87468496.0</td>\n",
       "      <td>1264.303</td>\n",
       "      <td>1336575.0</td>\n",
       "      <td>65442.2</td>\n",
       "      <td>1264.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pakistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>65450704.0</td>\n",
       "      <td>324219</td>\n",
       "      <td>1130820.0</td>\n",
       "      <td>57879.0</td>\n",
       "      <td>324219.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Country      Continent  Production(Tons) Production_per_Person(Kg)  \\\n",
       "0    Brazil  South America       768678382.0                  3668.531   \n",
       "1     India           Asia       348448000.0                    260721   \n",
       "2     China           Asia       123059739.0                     88287   \n",
       "3  Thailand           Asia        87468496.0                  1264.303   \n",
       "4  Pakistan           Asia        65450704.0                    324219   \n",
       "\n",
       "   Acreage(Hectare)  Yield(Kg / Hectare)  Production per Person(Kg)  \n",
       "0        10226205.0              75167.5                   3668.531  \n",
       "1         4950000.0              70393.5                 260721.000  \n",
       "2         1675215.0              73459.1                  88287.000  \n",
       "3         1336575.0              65442.2                   1264.303  \n",
       "4         1130820.0              57879.0                 324219.000  "
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cor=df.copy()\n",
    "cor.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "id": "7f4f9d73",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: 'Brazil'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[202], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m cor\u001b[38;5;241m.\u001b[39mcorr()\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\core\\frame.py:10054\u001b[0m, in \u001b[0;36mDataFrame.corr\u001b[1;34m(self, method, min_periods, numeric_only)\u001b[0m\n\u001b[0;32m  10052\u001b[0m cols \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mcolumns\n\u001b[0;32m  10053\u001b[0m idx \u001b[38;5;241m=\u001b[39m cols\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m> 10054\u001b[0m mat \u001b[38;5;241m=\u001b[39m data\u001b[38;5;241m.\u001b[39mto_numpy(dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfloat\u001b[39m, na_value\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39mnan, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m  10056\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpearson\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m  10057\u001b[0m     correl \u001b[38;5;241m=\u001b[39m libalgos\u001b[38;5;241m.\u001b[39mnancorr(mat, minp\u001b[38;5;241m=\u001b[39mmin_periods)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\core\\frame.py:1838\u001b[0m, in \u001b[0;36mDataFrame.to_numpy\u001b[1;34m(self, dtype, copy, na_value)\u001b[0m\n\u001b[0;32m   1836\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dtype \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   1837\u001b[0m     dtype \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdtype(dtype)\n\u001b[1;32m-> 1838\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mgr\u001b[38;5;241m.\u001b[39mas_array(dtype\u001b[38;5;241m=\u001b[39mdtype, copy\u001b[38;5;241m=\u001b[39mcopy, na_value\u001b[38;5;241m=\u001b[39mna_value)\n\u001b[0;32m   1839\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m dtype:\n\u001b[0;32m   1840\u001b[0m     result \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray(result, dtype\u001b[38;5;241m=\u001b[39mdtype, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\core\\internals\\managers.py:1732\u001b[0m, in \u001b[0;36mBlockManager.as_array\u001b[1;34m(self, dtype, copy, na_value)\u001b[0m\n\u001b[0;32m   1730\u001b[0m         arr\u001b[38;5;241m.\u001b[39mflags\u001b[38;5;241m.\u001b[39mwriteable \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m   1731\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1732\u001b[0m     arr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_interleave(dtype\u001b[38;5;241m=\u001b[39mdtype, na_value\u001b[38;5;241m=\u001b[39mna_value)\n\u001b[0;32m   1733\u001b[0m     \u001b[38;5;66;03m# The underlying data was copied within _interleave, so no need\u001b[39;00m\n\u001b[0;32m   1734\u001b[0m     \u001b[38;5;66;03m# to further copy if copy=True or setting na_value\u001b[39;00m\n\u001b[0;32m   1736\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m na_value \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m lib\u001b[38;5;241m.\u001b[39mno_default:\n",
      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\pandas\\core\\internals\\managers.py:1794\u001b[0m, in \u001b[0;36mBlockManager._interleave\u001b[1;34m(self, dtype, na_value)\u001b[0m\n\u001b[0;32m   1792\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   1793\u001b[0m         arr \u001b[38;5;241m=\u001b[39m blk\u001b[38;5;241m.\u001b[39mget_values(dtype)\n\u001b[1;32m-> 1794\u001b[0m     result[rl\u001b[38;5;241m.\u001b[39mindexer] \u001b[38;5;241m=\u001b[39m arr\n\u001b[0;32m   1795\u001b[0m     itemmask[rl\u001b[38;5;241m.\u001b[39mindexer] \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m   1797\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m itemmask\u001b[38;5;241m.\u001b[39mall():\n",
      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'Brazil'"
     ]
    }
   ],
   "source": [
    "cor.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d893df0f",
   "metadata": {},
   "source": [
    "This code selects only columns with numeric data types (float64 and int64) from your DataFrame cor, and then computes the correlation matrix. This way, non-numeric columns like the one containing the string 'Brazil' are excluded from the correlation computation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "id": "81ee5d0b",
   "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>Production(Tons)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Production(Tons)</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.997550</td>\n",
       "      <td>0.132812</td>\n",
       "      <td>0.015000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <td>0.997550</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.113433</td>\n",
       "      <td>0.012557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <td>0.132812</td>\n",
       "      <td>0.113433</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.017999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.012557</td>\n",
       "      <td>0.017999</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Production(Tons)  Acreage(Hectare)  \\\n",
       "Production(Tons)                   1.000000          0.997550   \n",
       "Acreage(Hectare)                   0.997550          1.000000   \n",
       "Yield(Kg / Hectare)                0.132812          0.113433   \n",
       "Production per Person(Kg)          0.015000          0.012557   \n",
       "\n",
       "                           Yield(Kg / Hectare)  Production per Person(Kg)  \n",
       "Production(Tons)                      0.132812                   0.015000  \n",
       "Acreage(Hectare)                      0.113433                   0.012557  \n",
       "Yield(Kg / Hectare)                   1.000000                   0.017999  \n",
       "Production per Person(Kg)             0.017999                   1.000000  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_df = cor.select_dtypes(include=['float64', 'int64'])\n",
    "correlation_matrix = numeric_df.corr()\n",
    "correlation_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "id": "8990af9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(correlation_matrix, annot = True, cmap=\"Greens\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "536994cb",
   "metadata": {},
   "source": [
    "### Do countries with highest land produce more sugarcane?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "0e9c4978",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Acreage(Hectare)', ylabel='Production(Tons)'>"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kJASjR4+GlZUV+vTpgy1btqi0+euvv/D48WOcOnUKa9euxcKFC9GvXz/UqVMHFy9exIQJEzBhwgTExcUBKByl6datG8zNzXHq1CmcOXMG5ubm6NWrF/Ly8hT9Hjt2DJGRkThy5Igi+fg3uVyO3r1749y5c/jxxx8RERGBlStXQiqVAih8GnLr1q1x4MAB3Lx5E+PHj8eYMWNw8eLFcl9TIiKqAqIGS01NFQBEamqqSl12draIiIgQ2dnZavVdIJOLV5YfFW4fHCj25f7BAfHK8qOiQCav7MdQ8euvv4o6deoIY2Nj0aFDBzF37lxx/fp1Rf3hw4eFVCoVsbGxirJbt24JAOLSpUtCCCGCgoJEYGCgUr/Tpk0TXbp0Ubzv0qWLmDZtmlKb48ePCwDi6NGjirI//vhDACj1Wt69e1cYGBiIp0+fCiGE2Lt3r3B1dRUymUzRJigoSLi5uSmVNW7cWHTu3FnxvqCgQJiZmYmff/5ZCCFESEiIaNy4sZDL/3edc3NzhYmJiTh06JCiX0dHR5Gbm6sUk5ubm/j888+FEEIcOnRI6OnpiTt37pT4GV7Up08f8Z///KfYusp+v4iIXmal/X6/iCMqJbgUnaQykvJvAkB8ag4uRWt+3sjgwYPx+PFj7N+/HwEBAThx4gRatWqF0NBQAEBkZCRcXV2VRkC8vb1hbW2NyMhIjcTg6+ur+LOzszOAwkm+JQkJCUFAQADs7OwAAH369EFmZiaOHj2q1K5Zs2bQ0/vf187R0RHNmzdXvJdKpbC1tVWcKywsDPfv34eFhYVitMnGxgY5OTmIiopSHNe8eXMYGhqWGF94eDjq1aunuC30IplMhmXLlsHX1xe2trYwNzfH4cOHERsbW2KfRERU9TiZtgSJ6SUnKeq0qyhjY2P06NEDPXr0wIIFC/DOO+/gk08+QXBwMIQQkEhUJ/P+u1xPTw9CCKX6/Pz8cp/fwMBA8eeiPuVyebFtZTIZtm3bhoSEBOjr6yuVh4SEoGfPnsX2W9R3cWVF55LL5WjdujW2b9+uct5/T5Y1MzMr9fOYmJiUWr9mzRp8/vnnWLduHZo3bw4zMzNMnz5d6fYSERFVP62OqLi7uysmcv77NXnyZG2GBQBwsDDWaLvK8vb2RmZmpuLPsbGxinkcABAREYHU1FQ0bdoUQOGPeHy88hya8PBwpfeGhoaQyWSVju3PP/9Eeno6rl27hvDwcMXrl19+wb59+/D8+XO1+27VqhXu3bsHBwcHNGzYUOllZWVV7n58fX3x8OFD3L17t9j606dPIzAwEKNHj0aLFi3QoEED3Lt3T+24iYhIM7SaqFy+fFkxkTM+Ph5HjhwBALz55pvaDAsA0NbDBs5WxihpEbIEgLNV4VJlTXr+/Dlee+01/Pjjj/j7778RHR2NX375BZ9++ikCAwMBAN27d4evry9GjRqFq1ev4tKlSxg7diy6dOkCf39/AMBrr72GK1euYNu2bbh37x4++eQT3Lx5U+lc7u7uuHjxImJiYvDs2bMSR0zKEhISgr59+6JFixbw8fFRvAYPHgx7e3v8+OOPal+PUaNGwc7ODoGBgTh9+jSio6Nx8uRJTJs2DQ8fPix3P126dMGrr76KwYMH48iRI4iOjsZ///tfHDx4EADQsGFDHDlyBOfOnUNkZCTee+89JCQkqB03ERFphlYTFXt7ezg5OSleBw4cgKenJ7p06aLNsAAAUj0JPunvDQAqyUrR+0/6e2t8PxVzc3O0a9cOn3/+OV599VX4+Phg/vz5ePfdd/HVV18Vnl8iwb59+1CnTh28+uqr6N69Oxo0aICdO3cq+gkICMD8+fMxZ84ctGnTBunp6Rg7dqzSuWbNmgWpVApvb2/Y29urNR/jyZMn+OOPPzB48GCVOolEgkGDBiEkJKTC/RYxNTXFqVOnUL9+fQwaNAhNmzbFuHHjkJ2dDUtLywr1tXv3brRp0wYjRoyAt7c35syZoxhRmj9/Plq1aoWAgAB07doVTk5OKsu7iYio+knEixMZtCQvLw8uLi6YOXMmPvroo3Idk5aWBisrK6Smpqr8aOXk5CA6OhoeHh4wNlb/9szBm/FY9HuE0sRaZytjfNLfG718nNXul2o2TX2/iIheRqX9fr9IZybT7tu3DykpKQgODi6xTW5urtLeImlpaVUeVy8fZ/TwdqrWnWmJiIiokM4kKiEhIejduzdcXFxKbLNixQosWrSoGqMqJNWToL2nbbWfl4iI6GWnE/uo/PPPPzh69CjeeeedUtvNnTsXqampite/V70QERFR7aMTIypbtmyBg4OD0rNsimNkZAQjI6NqioqIiIi0TesjKnK5HFu2bEFQUJDSZmFEREREWk9Ujh49itjY2HI99I6IiIheLlofwujZs6fKVu9EREREgA6MqBARERGVhIkKERER6SwmKrVMTEwMJBKJygMIiYiIaiImKjrs3LlzkEql6NWrV7mPcXV1RXx8PHx8fKowMiIiourBRKU85DIg+jRw49fCf8pl1XLazZs3Y8qUKThz5ky5HxgolUrh5OTEpd5ERFQrMFEpS8R+YJ0PsLUfsPvtwn+u8yksr0KZmZnYtWsXJk6ciH79+iE0NFRRl5ycjFGjRsHe3h4mJiZo1KgRtmzZAkD11o9MJsPbb78NDw8PmJiYoHHjxli/fn2Vxk5ERKQp/Gt3aSL2A7vGAnhh+XRafGH50G2A94AqOfXOnTvRuHFjNG7cGKNHj8aUKVMwf/58SCQSzJ8/HxEREfjvf/8LOzs73L9/H9nZ2cX2I5fLUa9ePezatQt2dnY4d+4cxo8fD2dnZwwdOrRKYiciItIUJiolkcuAgx9AJUkB/r9MAhz8EGjSF9CTavz0ISEhGD16NACgV69eyMjIwLFjx9C9e3fExsbCz88P/v7+AAB3d/cS+zEwMFB6kKOHhwfOnTuHXbt2MVEhIiKdx1s/JfnnHJD2uJQGAkh7VNhOw+7cuYNLly5h+PDhAAB9fX0MGzYMmzdvBgBMnDgRO3bsQMuWLTFnzhycO1d6DBs3boS/vz/s7e1hbm6O7777rtxzXoiIiLSJIyolyXii2XYVEBISgoKCAtStW1dRJoSAgYEBkpOT0bt3b/zzzz/4448/cPToUbz++uuYPHkyPvvsM5W+du3ahRkzZmDNmjVo3749LCwssHr1aly8eFHjcRMREWkaR1RKYu6o2XblVFBQgG3btmHNmjUIDw9XvK5fvw43Nzds374dAGBvb4/g4GD8+OOPWLduHb799tti+zt9+jQ6dOiASZMmwc/PDw0bNkRUVJRGYyYiIqoqHFEpiVsHwNKlcOJssfNUJIX1bh00etoDBw4gOTkZb7/9NqysrJTqhgwZgpCQECQmJqJ169Zo1qwZcnNzceDAATRt2rTY/ho2bIht27bh0KFD8PDwwA8//IDLly/Dw8NDo3ETERFVBY6olERPCvRa9f9vJC9U/v/7Xis1PpE2JCQE3bt3V0lSAGDw4MEIDw+Hvr4+5s6dC19fX7z66quQSqXYsWNHsf1NmDABgwYNwrBhw9CuXTs8f/4ckyZN0mjMREREVUUiavCji9PS0mBlZYXU1FRYWloq1eXk5CA6OhoeHh4wNjZW/yQR+wtX//x7Yq1l3cIkpYqWJpPu09j3i4joJVTa7/eLeOunLN4DCpcg/3OucOKsuWPh7Z4qWJJMREREypiolIeeFPDorO0oiIiIXjqco0JEREQ6i4kKERER6SwmKkRERKSzmKgQERGRzmKiQkRERDqLiQoRERHpLCYqREREpLOYqJBCcHAwBg4cqO0wKu3EiROQSCRISUnRdihERFRJTFR0UHBwMCQSCVauXKlUvm/fPkgkLz53qOJiYmIgkUgQHh5e6b6KZGdno06dOrCxsUF2drbG+lVHhw4dEB8fX+zzkoiIqGZholIOMrkMlxMu488Hf+JywmXI5LIqP6exsTFWrVqF5ORkjfabl5en0f6K7N69Gz4+PvD29saePXuq5BzlkZ+fD0NDQzg5OWkkqSMiIu1iolKGo/8cRcDuAIw7NA4fnP4A4w6NQ8DuABz952iVnrd79+5wcnLCihUrSm23e/duNGvWDEZGRnB3d8eaNWuU6t3d3bF06VIEBwfDysoK7777Ljw8PAAAfn5+kEgk6Nq1q9Ixn332GZydnWFra4vJkycjPz+/zHhDQkIwevRojB49GiEhISr1EokEmzZtQr9+/WBqaoqmTZvi/PnzuH//Prp27QozMzO0b98eUVFRSsf9/vvvaN26NYyNjdGgQQMsWrQIBQUFSv1u3LgRgYGBMDMzw9KlS4u99XP27Fl06dIFpqamqFOnDgICAhRJ4MGDB9GpUydYW1vD1tYW/fr1U4mDiIi0g4lKKY7+cxQzT8zEk6wnSuWJWYmYeWJmlSYrUqkUy5cvx5dffomHDx8W2yYsLAxDhw7F8OHDcePGDSxcuBDz589HaGioUrvVq1fDx8cHYWFhmD9/Pi5dugQAOHr0KOLj45VGQI4fP46oqCgcP34cW7duRWhoqEp/L4qKisL58+cxdOhQDB06FOfOncODBw9U2i1ZsgRjx45FeHg4mjRpgpEjR+K9997D3LlzceXKFQDA+++/r2h/6NAhjB49GlOnTkVERAQ2bdqE0NBQLFu2TKnfTz75BIGBgbhx4wbGjRunct7w8HC8/vrraNasGc6fP48zZ86gf//+kMkKR8YyMzMxc+ZMXL58GceOHYOenh7eeOMNyOXyUj83ERFVA1GDpaamCgAiNTVVpS47O1tERESI7OxstfoukBWI13e9LnxCfYp9NQ9tLrrv6i4KZAWV/RgqgoKCRGBgoBBCiFdeeUWMGzdOCCHE3r17xb//lY0cOVL06NFD6djZs2cLb29vxXs3NzcxcOBApTbR0dECgLh27ZrKed3c3ERBwf8+05tvvimGDRtWarwfffSR0jkCAwPFvHnzlNoAEB9//LHi/fnz5wUAERISoij7+eefhbGxseJ9586dxfLly5X6+eGHH4Szs7NSv9OnT1dqc/z4cQFAJCcnCyGEGDFihOjYsWOpn+HfEhMTBQBx48aNEttU9vtFRPQyK+33+0UcUSnB1cSrKiMp/yYgkJCVgKuJV6s0jlWrVmHr1q2IiIhQqYuMjETHjh2Vyjp27Ih79+4pRgsAwN/fv9zna9asGaRSqeK9s7MzEhMTS2wvk8mwdetWjB49WlE2evRobN26VSkGAPD19VX82dHREQDQvHlzpbKcnBykpaUBKBwxWrx4MczNzRWvd999F/Hx8cjKyir35ysaUSlJVFQURo4ciQYNGsDS0lJxayw2NrbUfomIqOrpazsAXfU066lG26nr1VdfRUBAAD766CMEBwcr1QkhVCaMCiFU+jAzMyv3+QwMDJTeSySSUm+BHDp0CI8ePcKwYcOUymUyGQ4fPozevXsX23dR3MWVFZ1PLpdj0aJFGDRokMp5jY2NFX8u6/OZmJiUWt+/f3+4urriu+++g4uLC+RyOXx8fKps4jEREZUfE5US2Jvaa7RdZaxcuRItW7aEl5eXUrm3tzfOnDmjVHbu3Dl4eXkpjYq8yNDQEABURjzUERISguHDh2PevHkqMYeEhCglKhXVqlUr3LlzBw0bNqxUjL6+vjh27BgWLVqkUvf8+XNERkZi06ZN6Ny5MwCoXFMiItIeJiolaOXQCo6mjkjMSoSA6iiFBBI4mjqilUOrKo+lefPmGDVqFL788kul8v/85z9o06YNlixZgmHDhuH8+fP46quv8M0335Tan4ODA0xMTHDw4EHUq1cPxsbGau058vTpU/z+++/Yv38/fHx8lOqCgoLQt29fPH36FPb26iVzCxYsQL9+/eDq6oo333wTenp6+Pvvv3Hjxg0sXbq03P3MnTsXzZs3x6RJkzBhwgQYGhri+PHjePPNN2FjYwNbW1t8++23cHZ2RmxsLD788EO14iUiIs3T+hyVR48eYfTo0bC1tYWpqSlatmyJsLAwbYcFqZ4UH7Yt/MGSQPn2StH7D9p+AKleySMXmrRkyRKV2zqtWrXCrl27sGPHDvj4+GDBggVYvHixyi2iF+nr6+OLL77Apk2b4OLigsDAQLVi2rZtG8zMzIqd/9GtWzdYWFjghx9+UKtvAAgICMCBAwdw5MgRtGnTBq+88grWrl0LNze3CvXj5eWFw4cP4/r162jbti3at2+P3377Dfr6+tDT08OOHTsQFhYGHx8fzJgxA6tXr1Y7ZiIi0iyJKG5SQzVJTk6Gn58funXrhokTJ8LBwQFRUVFwd3eHp6dnmcenpaXBysoKqampsLS0VKrLyclBdHQ0PDw8lOYzVNTRf45i5aWVShNrnUyd8EHbD9Ddrbva/VLNpqnvFxHRy6i03+8XafXWz6pVq+Dq6ootW7Yoytzd3bUXUDG6u3VHN9duuJp4FU+znsLe1B6tHFpV20gKERHRy0yrt372798Pf39/vPnmm3BwcICfnx++++47bYZULKmeFG2c2qBPgz5o49SGSQoREVE10Wqi8uDBA2zYsAGNGjXCoUOHMGHCBEydOhXbtm0rtn1ubi7S0tKUXkRERFR7afXWj1wuh7+/P5YvXw6g8Nkzt27dwoYNGzB27FiV9itWrCh2iSkRERHVTlodUXF2doa3t7dSWdOmTUvcEXTu3LlITU1VvOLi4qojTCIiItISrY6odOzYEXfu3FEqu3v3bonLT42MjGBkZFQdoREREZEO0OqIyowZM3DhwgUsX74c9+/fx08//YRvv/0WkydP1mZYREREpCO0mqi0adMGe/fuxc8//wwfHx8sWbIE69atw6hRo7QZFhEREekIrW+h369fP/Tr10/bYZCaQkNDMX36dKSkpGg7FCIiqoW0voU+FS8uLg5vv/02XFxcYGhoCDc3N0ybNg3Pnz/XdmhKhg0bhrt372o7DCIiqqWYqOigBw8ewN/fH3fv3sXPP/+M+/fvY+PGjTh27Bjat2+PpKQkbYeoYGJiAgcHB22HQUREtRQTlXIQMhkyL15C6oE/kHnxEoRMVqXnmzx5MgwNDXH48GF06dIF9evXR+/evXH06FE8evQI8+bNA1C4Ad6cOXPg6uoKIyMjNGrUCCEhIYp+IiIi0KdPH5ibm8PR0RFjxozBs2fPFPUHDx5Ep06dYG1tDVtbW/Tr1w9RUVGK+piYGEgkEuzZswfdunWDqakpWrRogfPnzyvahIaGwtraWvE+KioKgYGBcHR0hLm5Odq0aYOjR49W4dUiIqLajIlKGdIOH8b917sjNigIj2fNQmxQEO6/3h1phw9XyfmSkpJw6NAhTJo0CSYmJkp1Tk5OGDVqFHbu3AkhBMaOHYsdO3bgiy++QGRkJDZu3Ahzc3MAQHx8PLp06YKWLVviypUrOHjwIJ48eYKhQ4cq+svMzMTMmTNx+fJlHDt2DHp6enjjjTcgl8uVzjtv3jzMmjUL4eHh8PLywogRI1BQUFBs/BkZGejTpw+OHj2Ka9euISAgAP379y9xbxwiIqJSiRosNTVVABCpqakqddnZ2SIiIkJkZ2er3/+hQyKiSVMR0biJ8qtJUxHRpKlIPXSoMuEX68KFCwKA2Lt3b7H1a9euFQDExYsXBQBx5MiRYtvNnz9f9OzZU6ksLi5OABB37twp9pjExEQBQNy4cUMIIUR0dLQAIL7//ntFm1u3bgkAIjIyUgghxJYtW4SVlVWpn8nb21t8+eWXpbapaTTx/SIielmV9vv9Io6olEDIZHiyfAUgRDGVhWVPlq+o8ttAqqcuPHd0dDSkUim6dOlSbLuwsDAcP34c5ubmileTJk0AQHF7JyoqCiNHjkSDBg1gaWkJDw8PAFAZ/fD19VX82dnZGQCQmJhY7HkzMzMxZ84ceHt7w9raGubm5rh9+zZHVIiISC1aX56sq7KuhKEgIaHkBkKgICEBWVfCYNaurcbO27BhQ0gkEkRERGDgwIEq9bdv30adOnVgampaaj9yuRz9+/fHqlWrVOqKko3+/fvD1dUV3333HVxcXCCXy+Hj44O8vDyl9gYGBoo/SyQSRf/FmT17Ng4dOoTPPvsMDRs2hImJCYYMGaLSJxERUXkwUSlBwdOnGm1XXra2tujRowe++eYbzJgxQ2meSkJCArZv346xY8eiefPmkMvlOHnyJLp3767ST6tWrbB79264u7tDX1/1X/Pz588RGRmJTZs2oXPnzgCAM2fOVDr+06dPIzg4GG+88QaAwjkrMTExle6XiIheTrz1UwJ9e3uNtquIr776Crm5uQgICMCpU6cQFxeHgwcPokePHqhbty6WLVsGd3d3BAUFYdy4cdi3bx+io6Nx4sQJ7Nq1C0DhyqGkpCSMGDECly5dwoMHD3D48GGMGzcOMpkMderUga2tLb799lvcv38ff/31F2bOnFnp2Bs2bIg9e/YgPDwc169fx8iRI0scfSEiIioLE5USmPq3hr6TE/D/tzpUSCTQd3KCqX9rjZ+7UaNGuHLlCjw9PTFs2DB4enpi/Pjx6NatG86fPw8bGxsAwIYNGzBkyBBMmjQJTZo0wbvvvovMzEwAgIuLC86ePQuZTIaAgAD4+Phg2rRpsLKygp6eHvT09LBjxw6EhYXBx8cHM2bMwOrVqysd++eff446deqgQ4cO6N+/PwICAtCqVatK90tERC8niRDFzRatGdLS0mBlZYXU1FRYWloq1eXk5CA6OhoeHh4wNjZWr//Dh/Fo2vTCN/++TP+fvNRdvw6WPXuq1TfVbJr4fhERvaxK+/1+EUdUSmHZsyfqrl8HfUdHpXJ9R0cmKURERNWAk2nLYNmzJyxef71wFdDTp9C3t4epf2tIpFJth0ZERFTrMVEpB4lUqtElyERERFQ+vPVDREREOouJChEREeksJipERESks5ioEBERkc5iokJEREQ6i4kKERER6SwmKjWQEALjx4+HjY0NJBIJwsPDS2wrkUiwb9++aouNiIhIk5io6LBz585BKpWiV69eSuUHDx5EaGgoDhw4gPj4ePj4+JTYR3x8PHr37l3VoRIREVUJJio6bPPmzZgyZQrOnDmD2NhYRXlUVBScnZ3RoUMHODk5QV9fdd++vLw8AICTkxOMjIyqLWYiIiJNYqJSDnK5wKM7ybh7OQGP7iRDLq/65zhmZmZi165dmDhxIvr164fQ0FAAQHBwMKZMmYLY2FhIJBK4u7sDALp27Yr3338fM2fOhJ2dHXr06AFA9dbPw4cPMXz4cNjY2MDMzAz+/v64ePEigMIEKDAwEI6OjjA3N0ebNm1w9OjRKv+sREREJeEW+mWIupaI0zvvITMlV1FmZm2EzsMawdPPocrOu3PnTjRu3BiNGzfG6NGjMWXKFMyfPx/r16+Hp6cnvv32W1y+fBnSfz1zaOvWrZg4cSLOnj2L4h6KnZGRgS5duqBu3brYv38/nJyccPXqVcjlckV9nz59sHTpUhgbG2Pr1q3o378/7ty5g/r161fZZyUiIioJE5VSRF1LxMFNN1XKM1NycXDTTfR6z6fKkpWQkBCMHj0aANCrVy9kZGTg2LFj6N69OywsLCCVSuHk5KR0TMOGDfHpp5+W2OdPP/2Ep0+f4vLly7CxsVEcU6RFixZo0aKF4v3SpUuxd+9e7N+/H++//74mPx4REVG58NZPCeRygdM775Xa5syue1VyG+jOnTu4dOkShg8fDgDQ19fHsGHDsHnz5lKP8/f3L7U+PDwcfn5+iiTlRZmZmZgzZw68vb1hbW0Nc3Nz3L59W2l+DBERUXXiiEoJ4u+lKN3uKU5Gci7i76WgbuM6Gj13SEgICgoKULduXUWZEAIGBgZITk4u8TgzM7NS+zUxMSm1fvbs2Th06BA+++wzNGzYECYmJhgyZIhiYi4REVF1Y6JSgsy00pOUirYrr4KCAmzbtg1r1qxBz549leoGDx6M7du3q923r68vvv/+eyQlJRU7qnL69GkEBwfjjTfeAFA4ZyUmJkbt8xEREVUWb/2UwMyyfEt6y9uuvA4cOIDk5GS8/fbb8PHxUXoNGTIEISEhavc9YsQIODk5YeDAgTh79iwePHiA3bt34/z58wAK56vs2bMH4eHhuH79OkaOHKmYaEtERKQNTFRK4NzIGmbWpSch5nWM4NzIWqPnDQkJQffu3WFlZaVSN3jwYISHh6udPBgaGuLw4cNwcHBAnz590Lx5c6xcuVKxcujzzz9HnTp10KFDB/Tv3x8BAQFo1apVpT4PERFRZUhEcetYa4i0tDRYWVkhNTUVlpaWSnU5OTmIjo6Gh4cHjI2N1eq/pFU/Rapy1Q/pNk18v4iIXlal/X6/iCMqpfD0c0Cv93xURlbM6xgxSSEiIqoGWp1Mu3DhQixatEipzNHREQkJCVqKSJWnnwM8WtgXrgJKy4WZZeHtHj09ibZDIyIiqvXUTlRyc3Nx6dIlxMTEICsrC/b29vDz84OHh0eF+mnWrJnSNu3/3mlVV+jpSTS+BJmIiIjKVuFE5dy5c/jyyy+xb98+5OXlwdraGiYmJkhKSkJubi4aNGiA8ePHY8KECbCwsCg7AH19lR1WiYiIiIAKzlEJDAzEkCFDULduXRw6dAjp6el4/vw5Hj58iKysLNy7dw8ff/wxjh07Bi8vLxw5cqTMPu/duwcXFxd4eHhg+PDhePDgQYltc3NzkZaWpvQiIiKi2qtCIyo9e/bEL7/8AkNDw2LrGzRogAYNGiAoKAi3bt3C48ePS+2vXbt22LZtG7y8vPDkyRMsXboUHTp0wK1bt2Bra6vSfsWKFSpzWoiIiKj20qnlyZmZmfD09MScOXMwc+ZMlfrc3Fzk5v5vJ9i0tDS4urpW2fJkopLw+0VEpL6KLE9WezJtXFwcJBIJ6tWrBwC4dOkSfvrpJ3h7e2P8+PFq9WlmZobmzZvj3r3iHwZoZGQEIyPN7gRLREREukvtfVRGjhyJ48ePAwASEhLQo0cPXLp0CR999BEWL16sVp+5ubmIjIyEs7OzumERERFRLaJ2onLz5k20bdsWALBr1y74+Pjg3Llz+OmnnxAaGlquPmbNmoWTJ08iOjoaFy9exJAhQ5CWloagoCB1wyIiIqJaRO1EJT8/X3Eb5ujRoxgwYAAAoEmTJoiPjy9XHw8fPsSIESPQuHFjDBo0CIaGhrhw4QLc3NzUDatWCA4OhkQiUXn16tVL26ERERFVK7XnqDRr1gwbN25E3759ceTIESxZsgQA8Pjx42JX7BRnx44d6p6+1uvVqxe2bNmiVKbu/BwhBGQyGfT1tboRMRERUYWpPaKyatUqbNq0CV27dsWIESPQokULAMD+/fsVt4RqC7lchrhbfyPy7EnE3fobcrmsys9pZGQEJycnpVedOnUQExMDiUSC8PBwRduUlBRIJBKcOHECAHDixAlIJBIcOnQI/v7+MDIywunTp5Gbm4upU6fCwcEBxsbG6NSpEy5fvqzop+i4P/74Ay1atICxsTHatWuHGzduKMV27tw5vPrqqzAxMYGrqyumTp2KzMzMKr8mRET08lH7r9hdu3bFs2fPkJaWhjp1/re9/Pjx42FqaqqR4HTBvYvn8Ffot8hIeqYoM7exw2vB49GoXQctRla2OXPm4LPPPkODBg1gbW2NOXPmYPfu3di6dSvc3Nzw6aefIiAgAPfv34eNjY3iuNmzZ2P9+vVwcnLCRx99hAEDBuDu3bswMDDAjRs3EBAQgCVLliAkJARPnz7F+++/j/fff19lBIiIiKiyKvX0ZKlUqpSkAIC7uzscHGrHU4XvXTyH/WuXKyUpAJCR9Az71y7HvYvnquzcBw4cgLm5udKr6PZaeS1evBg9evSAp6cnjI2NsWHDBqxevRq9e/eGt7c3vvvuO5iYmCAkJETpuE8++QQ9evRA8+bNsXXrVjx58gR79+4FAKxevRojR47E9OnT0ahRI3To0AFffPEFtm3bhpycHI19fiIiIqASIypPnjzBrFmzcOzYMSQmJuLFfeNksqq/PVKV5HIZ/gr9ttQ2x7d+C8827aCnp/kHKXbr1g0bNmxQKrOxsanQYwP8/f0Vf46KikJ+fj46duyoKDMwMEDbtm0RGRmpdFz79u2Vztm4cWNFm7CwMNy/fx/bt29XtBFCQC6XIzo6Gk2bNi13fERERGVRO1EJDg5GbGws5s+fD2dnZ0gkEk3GpXWPIm+pjKS8KP35MzyKvAXXZr4aP7+ZmRkaNmyoUp6RkQEASolhfn5+iX0UKWr/4r8nIUS5/t0VtZHL5XjvvfcwdepUlTb169cvsx8iIqKKUDtROXPmDE6fPo2WLVtqMBzdkZGSrNF2mmJvbw8AiI+Ph5+fHwAoTawtScOGDWFoaIgzZ85g5MiRAAoTnCtXrmD69OlKbS9cuKBIOpKTk3H37l00adIEANCqVSvcunWr2CSKiIhI09ROVFxdXVVu99Qm5tZ1ym5UgXYVlZubi4SEBKUyfX192NnZ4ZVXXsHKlSvh7u6OZ8+e4eOPPy6zPzMzM0ycOBGzZ8+GjY0N6tevj08//RRZWVl4++23ldouXrwYtra2cHR0xLx582BnZ4eBAwcCAD744AO88sormDx5Mt59912YmZkhMjISR44cwZdffqmxz09ERARUYjLtunXr8OGHHyImJkaD4eiOuk2bwdzGrtQ2FrZ2qNu0WZWc/+DBg3B2dlZ6derUCQCwefNm5Ofnw9/fH9OmTcPSpUvL1efKlSsxePBgjBkzBq1atcL9+/dx6NAhlQnRK1euxLRp09C6dWvEx8dj//79iidm+/r64uTJk7h37x46d+4MPz8/xe0/IiIiTVP76cl16tRBVlYWCgoKYGpqCgMDA6X6pKQkjQRYmtKevqiJp9sWrfopyYCZH+n8EuWKOHHiBLp164bk5GRYW1trOxydxqcnExGpr1qenrxu3Tp1D60xGrXrgAEzP1LZR8XC1g7dgnR/HxUiIqKaTu1E5WV5cGCjdh3g2aZd4SqglGSYW9dB3abNqmRJMhERESmr1MNfZDIZ9u3bh8jISEgkEnh7e2PAgAGQSmvXj7ienrRKliDrmq5du9bqCdJERFTzqJ2o3L9/H3369MGjR4/QuHFjCCFw9+5duLq64o8//oCnp6cm4yQiIqKXkNqrfqZOnQpPT0/ExcXh6tWruHbtGmJjY+Hh4VHsZmBEREREFaX2iMrJkydx4cIFpYfZ2draYuXKlUrbtGsbb2VQVeD3ioioeqg9omJkZIT09HSV8oyMDMWeG9pUtFw6KytLy5FQbVT0vXpxWT4REWlWhUdUTp06hfbt26Nfv34YP348QkJC0LZtWwDAxYsXMWHCBAwYMEDjgVaUVCqFtbU1EhMTAQCmpqa17nlEVP2EEMjKykJiYiKsra1r3cRxIiJdU+EN36RSKeLj42FoaIigoCD8/vvvir9VFhQUYMCAAQgNDYWVlVWVBPxvZW0YI4RAQkICUlJSqjwWerlYW1vDycmJyS8RkRqqdMO3orzG2toav/32G+7du4fbt29DCAFvb2+delidRCKBs7MzHBwcSnzCMFFFGRgYcCSFiKiaqDWZ9t9/i2zUqBEaNWqksYCqglQq5Q8LERFRDaRWojJ//nyYmpqW2mbt2rVqBURERERURK1E5caNG6Wu7OF9eyIiItIEtRKVvXv3wsHBQdOxEBERESmp8D4qHC0hIiKi6lLhRIU7chIREVF1qXCismXLlmrZI4WIiIioQonK+fPnERQUBCMjozLbZmZm4tatW2oHRkRERFShRGXs2LHo0aMHdu3ahYyMjGLbRERE4KOPPkLDhg1x9epVjQRJREREL6cKrfqJiIjApk2bsGDBAowaNQpeXl5wcXGBsbExkpOTcfv2bWRmZmLQoEE4cuQIfHx8qipuIiIieglU+Fk/Ra5evYrTp08jJiYG2dnZsLOzg5+fH7p16wYbGxtNx1msijwrgIiIiHRDlT7rp0irVq3QqlUrdQ8nIiIiKlOFV/0QERERVRe1E5UnT55gzJgxcHFxgb6+vuLBf3wAIBEREWmK2rd+goODERsbi/nz58PZ2bnSO9auWLECH330EaZNm4Z169ZVqi8iIiKqHdROVM6cOYPTp0+jZcuWlQ7i8uXL+Pbbb+Hr61vpvoiIiKj2UPvWj6urq0a208/IyMCoUaPw3XffoU6dOpXuj4iIiGoPtROVdevW4cMPP0RMTEylApg8eTL69u2L7t27l9k2NzcXaWlpSi8iIiKqvdS+9TNs2DBkZWXB09MTpqamMDAwUKpPSkoqs48dO3bg6tWruHz5crnOuWLFCixatEiteImIiKjmUTtRqeyE17i4OEybNg2HDx+GsbFxuY6ZO3cuZs6cqXiflpYGV1fXSsVBREREukvtnWkra9++fXjjjTeUljLLZDJIJBLo6ekhNze3zGXO3JmWiIio5qmWnWmBwsRi3759iIyMhEQigbe3NwYMGFCufVRef/113LhxQ6nsrbfeQpMmTfDBBx9wLxYiIiJSP1G5f/8++vTpg0ePHqFx48YQQuDu3btwdXXFH3/8AU9Pz1KPt7CwUHlooZmZGWxtbfkwQyIiIgJQiVU/U6dOhaenJ+Li4nD16lVcu3YNsbGx8PDwwNSpUzUZIxEREb2k1J6jYmZmhgsXLqB58+ZK5devX0fHjh2RkZGhkQBLwzkqRERENU9Ffr/VHlExMjJCenq6SnlGRgYMDQ3V7ZaIiIhIQe1EpV+/fhg/fjwuXrwIIQSEELhw4QImTJiAAQMGaDJGIiIiekmpnah88cUX8PT0RPv27WFsbAxjY2N07NgRDRs2xPr16zUZIxEREb2k1F71Y21tjd9++w337t3D7du3IYSAt7c3GjZsqMn4iIiI6CVWqX1UAKBRo0Zo1KiRJmIhIiIiUlKhRGXmzJlYsmQJzMzMlLayL87atWsrFRgRERFRhRKVa9euIT8/X/FnIiIioqqktWf9aAL3USEiIqp5qmUflXHjxhW7j0pmZibGjRunbrdERERECmonKlu3bkV2drZKeXZ2NrZt21apoIiIiIgANVb9pKWlKTZ4S09Ph7GxsaJOJpPhzz//hIODg0aDJCIiopdThRMVa2trSCQSSCQSeHl5qdRLJBIsWrRII8ERUS2WngBkJwOQAKY2gDn/gkNEqiqcqBw/fhxCCLz22mvYvXs3bGxsFHWGhoZwc3ODi4uLRoMkolokPwd4eBnY/z6QHFNYZucFDNwAOLcEpJXe3omIahG1V/38888/qF+/PiQSiaZjKjeu+iGqgRIjgI2dALlMuVzfGJh4DrD11E5cRFRtqmXVz19//YVff/1VpfyXX37B1q1b1e2WiGqz/Czg9DrVJAUACnKAsFBAll/dURGRDlM7UVm5ciXs7OxUyh0cHLB8+fJKBUVEtVRuBvD4Ssn1cReAvKzqi4eIdJ7aico///wDDw8PlXI3NzfExsZWKigiqqX0jQEr15Lr6zQADIyqLx4i0nlqJyoODg74+++/VcqvX78OW1vbSgVFRLWUsSXQeVbJ9a9MLExmiIj+n9qJyvDhwzF16lQcP34cMpkMMpkMf/31F6ZNm4bhw4drMkYiqk0cfYAeSwA96f/KpIbAgK8AG06kJSJlaq/6ycvLw5gxY/DLL79AX79wOaFcLsfYsWOxceNGGBoaajTQ4nDVD1ENlZcJZCQCT28DevqFy5PNHQADE21HRkTVoCK/35V+KOHdu3dx/fp1mJiYoHnz5nBzc6tMdxXCRIWIiKjmqcjvd6V3VvLy8ip2h1oiIiKiylI7USnrCcmbN29Wt2siIiIiAJVIVJKTk5Xe5+fn4+bNm0hJScFrr71W6cCIiIiI1E5U9u7dq1Iml8sxadIkNGjQoFJBEREREQGVWJ5cbGd6epgxYwY+//xzTXZLRERELymNJioAEBUVhYKCAk13S0RERC8htW/9zJw5U+m9EALx8fH4448/EBQUVOnAiIiIiNROVK5du6b0Xk9PD/b29lizZk2ZK4KIiIiIykPtROX48eOajIOIiIhIhcbnqBARERFpSoVGVPz8/CCRSMrV9urVq2oFRERERFSkQiMqAwcORGBgIAIDAxEQEICoqCgYGRmha9eu6Nq1K4yNjREVFYWAgIBy9bdhwwb4+vrC0tISlpaWaN++Pf773/+q9UGIiIio9lH7oYTvvPMOnJ2dsWTJEqXyTz75BHFxceXaQv/333+HVCpFw4YNAQBbt27F6tWrce3aNTRr1qzM4/lQQiIiopqnWp6ebGVlhStXrqBRo0ZK5ffu3YO/vz9SU1PV6RY2NjZYvXo13n777TLbMlEhIiKqeSry+632ZFoTExOcOXNGpfzMmTMwNjaucH8ymQw7duxAZmYm2rdvr25YREREVIuovTx5+vTpmDhxIsLCwvDKK68AAC5cuIDNmzdjwYIF5e7nxo0baN++PXJycmBubo69e/fC29u72La5ubnIzc1VvE9LS1M3fCIiIqoB1L71AwC7du3C+vXrERkZCQBo2rQppk2bhqFDh5a7j7y8PMTGxiIlJQW7d+/G999/j5MnTxabrCxcuBCLFi1SKeetHyIiopqjWuaoVJXu3bvD09MTmzZtUqkrbkTF1dWViQoREVENUpFERe1bP0XCwsIQGRkJiUQCb29v+Pn5Vao/IYRSMvJvRkZGMDIyqlT/REREVHOonagkJiZi+PDhOHHiBKytrSGEQGpqKrp164YdO3bA3t6+zD4++ugj9O7dG66urkhPT8eOHTtw4sQJHDx4UN2wiIiIqBZRe9XPlClTkJaWhlu3biEpKQnJycm4efMm0tLSMHXq1HL18eTJE4wZMwaNGzfG66+/josXL+LgwYPo0aOHumERERFRLVKpfVSOHj2KNm3aKJVfunQJPXv2REpKiibiKxX3USEiIqp5qmUfFblcDgMDA5VyAwMDyOVydbslIiIiUlA7UXnttdcwbdo0PH78WFH26NEjzJgxA6+//rpGgiMiIqKXm9qJyldffYX09HS4u7vD09MTDRs2hIeHB9LT0/Hll19qMkYiIiJ6Sam96sfV1RVXr17FkSNHcPv2bQgh4O3tje7du2syPiIiInqJqZWoFBQUwNjYGOHh4ejRowdX6RAREVGVUOvWj76+Ptzc3CCTyTQdDxEREZGC2nNUPv74Y8ydOxdJSUmajIeIiIhIQe05Kl988QXu378PFxcXuLm5wczMTKn+6tWrlQ6OiIiIXm5qJyoDBw6ERCKBjj3TkIiIiGqRCicqWVlZmD17Nvbt24f8/Hy8/vrr+PLLL2FnZ1cV8REREdFLrMJzVD755BOEhoaib9++GDFiBI4ePYqJEydWRWxERET0kqvwiMqePXsQEhKC4cOHAwBGjRqFjh07QiaTQSqVajxAIiIienlVeEQlLi4OnTt3Vrxv27Yt9PX1lbbSJyIiItKECicqMpkMhoaGSmX6+vooKCjQWFBEREREgBq3foQQCA4OhpGRkaIsJycHEyZMUFqivGfPHs1ESERERC+tCicqQUFBKmWjR4/WSDBERERE/1bhRGXLli1VEQcRERGRCrW30CciIiKqakxUiIiISGcxUSEiIiKdxUSFiIiIdBYTFSIiItJZTFSIiIhIZzFRISIiIp3FRIWIiIh0FhMVIiIi0llMVIiIiEhnMVEhIiIincVEhYiIiHQWExUiIiLSWUxUiIiISGcxUSEiIiKdxUSFiIiIdJZWE5UVK1agTZs2sLCwgIODAwYOHIg7d+5oMyQiIiLSIVpNVE6ePInJkyfjwoULOHLkCAoKCtCzZ09kZmZqMywiIiLSERIhhNB2EEWePn0KBwcHnDx5Eq+++mqZ7dPS0mBlZYXU1FRYWlpWQ4RERERUWRX5/davppjKJTU1FQBgY2NTbH1ubi5yc3MV79PS0qolLiIiItIOnZlMK4TAzJkz0alTJ/j4+BTbZsWKFbCyslK8XF1dqzlKIiIiqk46c+tn8uTJ+OOPP3DmzBnUq1ev2DbFjai4urry1g8REVENUuNu/UyZMgX79+/HqVOnSkxSAMDIyAhGRkbVGBkRERFpk1YTFSEEpkyZgr179+LEiRPw8PDQZjhERESkY7SaqEyePBk//fQTfvvtN1hYWCAhIQEAYGVlBRMTE22GRkRERDpAq3NUJBJJseVbtmxBcHBwmcdzeTIREVHNU2PmqOjIPF4iIiLSUTqzPJmIiIjoRUxUiIiISGcxUSEiIiKdxUSFiIiIdBYTFSIiItJZTFSIiIhIZzFRISIiIp3FRIWIiIh0FhMVIiIi0llMVIiIiEhnMVEhIiIincVEhYiIiHQWExUiIiLSWUxUiIiISGcxUSEiIiKdxUSFiIiIdBYTFSIiItJZTFSIiIhIZzFRISIiIp3FRIWIiIh0FhMVIiIi0llMVIiIiEhnMVGhypHLtB0BERHVYvraDoBqILkMSI0DIn8HYi8Ajs2A5kMBq3qAgbG2oyMiolqEiQpV3JObwJY+QF5G4fvbB4DTa4BRvwDurwJSfq2IiEgzeOuHKib9CfDruP8lKUXkBcAvbwEZ8dqJi4iIaiUmKlQx2c+B5/eLr8tJAdIeV2s4RERUuzFRoYqRFZRen59TPXEQEdFLgYkKVYypDWBSp/g6PX2gjlv1xkNERLUaExWqGHMnoPfq4uu6fACY2VdvPEREVKsxUaGKkeoDXgFA8B+AazvAyAJw9AGGbQf83wYMzbQdIRER1SJcR0oVZ2wJuHcCRuwECrIAqRFgZqftqIiIqBZiokLqM60DoIT5KkRERBqg1Vs/p06dQv/+/eHi4gKJRIJ9+/ZpMxwiIiLSMVpNVDIzM9GiRQt89dVX2gyDiIiIdJRWb/307t0bvXv31mYIREREpMNq1ByV3Nxc5ObmKt6npaVpMRoiIiKqajVqefKKFStgZWWleLm6umo7JCIiIqpCNSpRmTt3LlJTUxWvuLg4bYdUs8nlQOoj4Nk9IDmW298TEZHOqVG3foyMjGBkZKTtMGqHrOdA5O/AX0uBzKeAvjHQcjTw6n8ASxdtR0dERASgho2okIbIZMDN3cDv0wqTFAAoyAGufA/smwRkPtNufERERP9PqyMqGRkZuH//vuJ9dHQ0wsPDYWNjg/r162sxslouIx44vrz4ugfHgfQE7jRLREQ6QasjKleuXIGfnx/8/PwAADNnzoSfnx8WLFigzbBqv9x0IDu55Pqnd6ovFiIiolJodUSla9euEEJoM4SXk74xINEDhLz4enM+AZmIiHQD56i8jExtAa8SNtozqQPYNKjeeIiIiErAROVlZGwJ9F4FOHi/UG4FjN4DWHDVDxER6YYatTyZNMjaFRizF0iOARJuAFaugGMzwLIuoMf8lYiIdAMTlZeZhVPhq/4r2o6EiIioWExUaqu0x0DSAyAxErDxAOybAFb1tB0VERFRhTBRqY2SooEf3gCSo/9XZmYHjN1feHuHiIiohuBkhNomKwnY+55ykgIU7jb70zAgLV47cREREamBiUptk/kMiLtYfF1qHJDxpHrjISIiqgTe+tFRGXkZeJr9FKcfnkZmfiY61euEuuZ1YWNsU/qB+Vml1+ekai5IIiKiKsZERQel56Xjt/u/YdXlVYqyb65/g04unbC442LYm5ayc6xJncKdZwtyiq/nk5GJiKgG4a0fHRSfEa+UpBQ58/gMDv9zuPTHDlg4Ah2nFV/n8yZgxu3xiYio5mCiooP23N9TYt22W9vwLPtZyQfrGwNtxwM9lxWOrgCAoRnQcToQsAwwsdZorERERFWJt350jFzIkZiVWGJ9al4q5CU9TLCImR3QbiLQbCCQn12YvJg7AvqGmg2WiIioinFERcfoSfTQvX73EuvbOLaBmYFZ2R1JpYUbvNk1Ktwun0kKERHVQExUdFArx1ZwMVOd9Kqvp48pflNgbmiuhaiIiIiqHxMVHeRk5oTNAZsxwHMA9PUK7861tG+J7b23w93KXbvBERERVSOJKHUJiW5LS0uDlZUVUlNTYWlpqe1wVGTlFiAlOx9CCFgYG8DSxKBCx2cXZCM5JxlCCJgbmsPKyKqKIiUiIqo+Ffn95mTaKvLP80ysOXwHtx6nYYy3NXzsTeDmYos6jjbQl5ZvIMtE3wQm5iZVHCkREZHuYqJSjKTsJDzOfIwLjy/AzNAMHVw6wN7EHqYGpuU6/lFyNoZsPI8pre0xwzQL4tsvkP/4MdIbe8F42nSYNvaC1JzzTIiIiMrCOSoveJr1FPPOzMOKiytgamAKCwML/Hb/N/wV+xcy8jPKPF4IgaORT9CrgSU63TyOnA/+g9zISMhTU5F76TIejhqFjHPnIORlLDEmIiIijqj8m1zIcTD6IHq698TT7KfYemsrnmY/hY+dD5raNsWzrGcwtyp9JCQ7T4aDtxKwoJUlcpd+X1iorw/zbq/CuL4L8h4nInHlKpj6+sLAyakaPhUREVHNxUTlX55lP0OePA+nHp7C0dijivJridcQnhiOtV3XlrnqRl+qh7rWxjBIeIx8mQxmnTvAafJo6Efvg17yacg9PCAbOxciN7OKPw0REVHNx1s//yIXcjS0bqiUpBQREFgbthZPs56W2oehvh7GdfSAnokJzLp2gcsH42EY+S30bu0AYs9D7+ZPMNj/JgwybgEF+VX1UYiIiGoFJir/Ym5gjpi0mBLr49LjSpynUiCT42FyFg7fSsCl6CSkeHjBeN4s6N8IBcwdgCGbC5/BAwBCDsn+yUDmE81/CCIiolqEt37+xdzQHPYmJT9dWAIJpBKpSnmBTI7wuBSM3XwJWXkyRfkr7tb4PHA6CjJjkC8KYO4zEA7mjsBfS4DcNCA9vnCbeyIiIioWE5UXNLdrDn09fRTIC5TKJZDgrWbjYC2xRX6eDAaG/5+w5GVCnpkKw6xUjGhpi5/DnyMrTwYnS2NMDrDDopvrcO7xWQgIuJi54MPWM9GmdRDMw7YCclkxERAREVER7kz7gpyCHJx8eBKzT86GQOGlaWDZAMtbrkZmhBSxN5NhYmGIVgH1YW4pRUbCUyQ9ToNlHQNYWcuRYWSEMb8+xn96O+LziKlIyExQOcf3nVaj3X8XAKN/BazrayRuIiKimqIiv99MVIqRnZ+NJ1lPcOrhKcSlxyG47nv47+cRyM0qHGUxNJai57s+OPvrPSTHZymOM7EwQOA4J+SYSXAq7S6Wh31QbP9NbJrg25azUMepBWBgrLG4iYiIagJuoV9JJtnJcE95DHeZMXIbDMfjfD10er85DPQkeHIzCXoygfDDsUpJCgBkp+fj962JGPSODQrkSSX2fzvpNnKs6zJJISIiKgMTlRcl3kbu7cN45twOEqdXINe3gIWegKWBBHp6chi3s0a+xBByYz08e5SBnAzlJcaZKbnIztaHj3nJt3RsjG0glRpW9SchIiKq8Zio/EtBxjP8I7dDmEl/NDUzgrOpCYwkhtCTFAD5mRASE2z6Kw5/3HgCb2cLTAj2QsrlZ4i5qLzMODtLDjuH+pBKpJAJ1QmzQc2CYGdiV10fi4iIqMbiPir/ci9NDyYG+uju5YRGZqawNDCDoYEhMvOkgMQGWcl6mNXeHb+/3RzhD1Mx6scrkHlbwt7dQqkfS2cbGJna4Ytu62Gopzxy0sOtBwZ4DoCehJeeiIioLFqfTPvNN99g9erViI+PR7NmzbBu3Tp07ty5XMdqcjJtcmYeCvLzYa0vg6QgC3q5GRBSA8itXCDPyUPy83xASPD8YQaMzAxg42KK4F3hSEjPwdeve+NS6G0AgLuPNV4b5QmTOlbIk+XhadZT3E66jbS8NPjY+cDexB7WxtaVipWIiKgmqzGTaXfu3Inp06fjm2++QceOHbFp0yb07t0bERERqF+/epftymUyWEmyIU19DJxZC71HFwEzB0jaTIRe/fYws7TH8R9uIy4yBQBgZKqPde/5YNqhW5CZSCE10IN3Bye0DnCFSR0zAICh1BB1LeqirkXdav0sREREtYVWR1TatWuHVq1aYcOGDYqypk2bYuDAgVixYkWZx2tyRCUnJwdG8dcg+bE/IFOeICtvPgqiy4fIhA1++PiSotzAWIpmbzWGjZ0J6hoZwtTSEPqGqjvXEhER0f9U5PdbaxMl8vLyEBYWhp49eyqV9+zZE+fOnav2eAzSEyA5/IFKkgIAeje2Q5KbAgEJGrVxUJTn58hglCmDo5UxLO1MmKQQERFpmNYSlWfPnkEmk8HR0VGp3NHREQkJqru5AkBubi7S0tKUXpoiKcgC4q+X3ODBKZhaGcHN20qpWC9bBhtzI43FQURERP+j9aUnEolE6b0QQqWsyIoVK2BlZaV4ubq6ajCQMi6FfuHmbJnpys8AcnLT3I64REREpExriYqdnR2kUqnK6EliYqLKKEuRuXPnIjU1VfGKi4vTWDzCwAzCvUvxlRIJ4NERmUm5uHrwoaLYpq4ZrOxNNBYDERERKdNaomJoaIjWrVvjyJEjSuVHjhxBhw4dij3GyMgIlpaWSi9Nkdq6QgSsAEzqqNTJu34CuYE5slKzkJuVD4kEaOBnh36TWsDMird9iIiIqopWlyfPnDkTY8aMgb+/P9q3b49vv/0WsbGxmDBhglbiKbBtBP23jgIR+6EXewrC1AGizTsQZk7IkdjA1FqC4QvaQt9ADybmhjA04ca+REREVUmrv7TDhg3D8+fPsXjxYsTHx8PHxwd//vkn3NzctBKPoaEh4NAQBTZTITJHAwbGkJoWjtqYayUiIiKil5vWd6atDE3uo0JERETVo0bso0JERERUFiYqREREpLOYqBAREZHOYqJCREREOouJChEREeksJipERESks5ioEBERkc5iokJEREQ6i4kKERER6SwmKkRERKSzavRT9Yp2/09LS9NyJERERFReRb/b5XmKT41OVNLT0wEArq6uWo6EiIiIKio9PR1WVlaltqnRDyWUy+V4/PgxLCwsIJFINNp3WloaXF1dERcXxwceVgFe36rF61u1eH2rFq9v1dP2NRZCID09HS4uLtDTK30WSo0eUdHT00O9evWq9ByWlpb8D6UK8fpWLV7fqsXrW7V4faueNq9xWSMpRTiZloiIiHQWExUiIiLSWUxUSmBkZIRPPvkERkZG2g6lVuL1rVq8vlWL17dq8fpWvZp0jWv0ZFoiIiKq3TiiQkRERDqLiQoRERHpLCYqREREpLNe6kTlm2++gYeHB4yNjdG6dWucPn261PYnT55E69atYWxsjAYNGmDjxo3VFGnNVJHru2fPHvTo0QP29vawtLRE+/btcejQoWqMtuap6Pe3yNmzZ6Gvr4+WLVtWbYA1XEWvb25uLubNmwc3NzcYGRnB09MTmzdvrqZoa56KXt/t27ejRYsWMDU1hbOzM9566y08f/68mqKtWU6dOoX+/fvDxcUFEokE+/btK/MYnf59Ey+pHTt2CAMDA/Hdd9+JiIgIMW3aNGFmZib++eefYts/ePBAmJqaimnTpomIiAjx3XffCQMDA/Hrr79Wc+Q1Q0Wv77Rp08SqVavEpUuXxN27d8XcuXOFgYGBuHr1ajVHXjNU9PoWSUlJEQ0aNBA9e/YULVq0qJ5gayB1ru+AAQNEu3btxJEjR0R0dLS4ePGiOHv2bDVGXXNU9PqePn1a6OnpifXr14sHDx6I06dPi2bNmomBAwdWc+Q1w59//inmzZsndu/eLQCIvXv3ltpe13/fXtpEpW3btmLChAlKZU2aNBEffvhhse3nzJkjmjRpolT23nvviVdeeaXKYqzJKnp9i+Pt7S0WLVqk6dBqBXWv77Bhw8THH38sPvnkEyYqpajo9f3vf/8rrKysxPPnz6sjvBqvotd39erVokGDBkplX3zxhahXr16VxVhblCdR0fXft5fy1k9eXh7CwsLQs2dPpfKePXvi3LlzxR5z/vx5lfYBAQG4cuUK8vPzqyzWmkid6/siuVyO9PR02NjYVEWINZq613fLli2IiorCJ598UtUh1mjqXN/9+/fD398fn376KerWrQsvLy/MmjUL2dnZ1RFyjaLO9e3QoQMePnyIP//8E0IIPHnyBL/++iv69u1bHSHXerr++1ajn/WjrmfPnkEmk8HR0VGp3NHREQkJCcUek5CQUGz7goICPHv2DM7OzlUWb02jzvV90Zo1a5CZmYmhQ4dWRYg1mjrX9969e/jwww9x+vRp6Ou/lP/Zl5s61/fBgwc4c+YMjI2NsXfvXjx79gyTJk1CUlIS56m8QJ3r26FDB2zfvh3Dhg1DTk4OCgoKMGDAAHz55ZfVEXKtp+u/by/liEqRF5+4LIQo9SnMxbUvrpwKVfT6Fvn555+xcOFC7Ny5Ew4ODlUVXo1X3usrk8kwcuRILFq0CF5eXtUVXo1Xke+vXC6HRCLB9u3b0bZtW/Tp0wdr165FaGgoR1VKUJHrGxERgalTp2LBggUICwvDwYMHER0djQkTJlRHqC8FXf59eyn/amVnZwepVKqSvScmJqpklUWcnJyKba+vrw9bW9sqi7UmUuf6Ftm5cyfefvtt/PLLL+jevXtVhlljVfT6pqen48qVK7h27Rref/99AIU/rEII6Ovr4/Dhw3jttdeqJfaaQJ3vr7OzM+rWrav0NNimTZtCCIGHDx+iUaNGVRpzTaLO9V2xYgU6duyI2bNnAwB8fX1hZmaGzp07Y+nSpVr/G39Np+u/by/liIqhoSFat26NI0eOKJUfOXIEHTp0KPaY9u3bq7Q/fPgw/P39YWBgUGWx1kTqXF+gcCQlODgYP/30E+89l6Ki19fS0hI3btxAeHi44jVhwgQ0btwY4eHhaNeuXXWFXiOo8/3t2LEjHj9+jIyMDEXZ3bt3oaenh3r16lVpvDWNOtc3KysLenrKP1dSqRTA//7mT+rT+d83LU3i1bqi5XEhISEiIiJCTJ8+XZiZmYmYmBghhBAffvihGDNmjKJ90fKtGTNmiIiICBESEqJTy7d0TUWv708//ST09fXF119/LeLj4xWvlJQUbX0EnVbR6/sirvopXUWvb3p6uqhXr54YMmSIuHXrljh58qRo1KiReOedd7T1EXRaRa/vli1bhL6+vvjmm29EVFSUOHPmjPD39xdt27bV1kfQaenp6eLatWvi2rVrAoBYu3atuHbtmmL5d037fXtpExUhhPj666+Fm5ubMDQ0FK1atRInT55U1AUFBYkuXbootT9x4oTw8/MThoaGwt3dXWzYsKGaI65ZKnJ9u3TpIgCovIKCgqo/8Bqiot/ff2OiUraKXt/IyEjRvXt3YWJiIurVqydmzpwpsrKyqjnqmqOi1/eLL74Q3t7ewsTERDg7O4tRo0aJhw8fVnPUNcPx48dL/f9pTft949OTiYiISGe9lHNUiIiIqGZgokJEREQ6i4kKERER6SwmKkRERKSzmKgQERGRzmKiQkRERDqLiQoRERHpLCYqREREpLOYqBCRTrlz5w6cnJyQnp6u7VCq3JAhQ7B27Vpth0Gk4tSpU+jfvz9cXFwgkUiwb9++Ch2/cOFCSCQSlZeZmVmFY2GiQlQDnTt3DlKpFL169dJ2KBo3b948TJ48GRYWFgCAEydOQCKRICUlRaWtu7s71q1bp7Fza7q/sixYsADLli1DWlpatZ2TqDwyMzPRokULfPXVV2odP2vWLMTHxyu9vL298eabb1a4LyYqRDXQ5s2bMWXKFJw5cwaxsbFq95OXl6fBqCrv4cOH2L9/P9566y1th1Ip5b2uvr6+cHd3x/bt26s4IqKK6d27N5YuXYpBgwYVW5+Xl4c5c+agbt26MDMzQ7t27XDixAlFvbm5OZycnBSvJ0+eICIiAm+//XaFY2GiQlTDZGZmYteuXZg4cSL69euH0NBQpfr9+/fD398fxsbGsLOzU/ofjbu7O5YuXYrg4GBYWVnh3XffBVA4QvPqq6/CxMQErq6umDp1KjIzMxXH/fjjj/D394eFhQWcnJwwcuRIJCYmqpy3UaNGMDExQbdu3bB161aVkZCyzrNr1y60aNEC9erVU+vapKamYvz48XBwcIClpSVee+01XL9+vVzXp2vXrvjnn38wY8YMxTA1ADx//hwjRoxAvXr1YGpqiubNm+Pnn39W6rNr1654//33MXPmTNjZ2aFHjx4AgIiICPTp0wfm5uZwdHTEmDFj8OzZM6VjBwwYoNIfka576623cPbsWezYsQN///033nzzTfTq1Qv37t0rtv33338PLy8vdO7cucLnYqJCVMPs3LkTjRs3RuPGjTF69Ghs2bIFRc8W/eOPPzBo0CD07dsX165dw7Fjx+Dv7690/OrVq+Hj44OwsDDMnz8fN27cQEBAAAYNGoS///4bO3fuxJkzZ/D+++8rjsnLy8OSJUtw/fp17Nu3D9HR0QgODlbUx8TEYMiQIRg4cCDCw8Px3nvvYd68eUrnLc95Tp06pRJveQkh0LdvXyQkJODPP/9EWFgYWrVqhddffx1JSUllXp89e/agXr16WLx4sWKoGgBycnLQunVrHDhwADdv3sT48eMxZswYXLx4Uen8W7duhb6+Ps6ePYtNmzYhPj4eXbp0QcuWLXHlyhUcPHgQT548wdChQ5WOa9u2LS5duoTc3Fy1PjdRdYuKisLPP/+MX375BZ07d4anpydmzZqFTp06YcuWLSrtc3NzsX37drVGUwAA2n14MxFVVIcOHcS6deuEEELk5+cLOzs7ceTIESGEEO3btxejRo0q8Vg3NzcxcOBApbIxY8aI8ePHK5WdPn1a6Onpiezs7GL7uXTpkgAg0tPThRBCfPDBB8LHx0epzbx58wQAkZycXO7ztGjRQixevFipTdEj683MzFReEolEfP7550IIIY4dOyYsLS1FTk6O0vGenp5i06ZN5b4+Rf2Vpk+fPuI///mP4n2XLl1Ey5YtldrMnz9f9OzZU6ksLi5OABB37txRlF2/fl0AEDExMWWel0gbAIi9e/cq3u/atavY/yb19fXF0KFDVY7/6aefhL6+voiPj1fr/PrqZlREVP3u3LmDS5cuYc+ePQAAfX19DBs2DJs3b0b37t0RHh6uuJ1TkhdHLMLCwnD//n2leRJCCMjlckRHR6Np06a4du0aFi5ciPDwcCQlJUEulwMAYmNj4e3tjTt37qBNmzZK/bZt27bC58nOzoaxsXGxcZ8+fVoxwbZI165dlfrPyMiAra2tUpvs7GxERUUBQLmuz4tkMhlWrlyJnTt34tGjR8jNzUVubq7K6oXiruvx48dhbm6u0mdUVBS8vLwAACYmJgCArKysCsVFpC1yuRxSqRRhYWGQSqVKdcV937///nv069cPTk5Oap2PiQpRDRISEoKCggLUrVtXUSaEgIGBAZKTkxU/eqV58QdWLpfjvffew9SpU1Xa1q9fH5mZmejZsyd69uyJH3/8Efb29oiNjUVAQIBi0qgQQjGn499xVeQ8AGBnZ4fk5ORi4/bw8IC1tbVSmb7+//4XJpfL4ezsrDShr0jRceW5Pi9as2YNPv/8c6xbtw7NmzeHmZkZpk+frjJhtrjr2r9/f6xatUqlT2dnZ8Wfi25L2dvbVzg2Im3w8/ODTCZDYmJimXNOoqOjcfz4cezfv1/t8zFRIaohCgoKsG3bNqxZswY9e/ZUqhs8eDC2b98OX19fHDt2rEKrZlq1aoVbt26hYcOGxdbfuHEDz549w8qVK+Hq6goAuHLlilKbJk2a4M8//1Qqe7FNWecBCv8HGBERUe7YX+w/ISEB+vr6cHd3L7ZNWdfH0NAQMplMqez06dMIDAzE6NGjARQmIPfu3UPTpk3LjGf37t1wd3dXSqhedPPmTdSrVw92dnal9kdUnTIyMnD//n3F++joaISHh8PGxgZeXl4YNWoUxo4dizVr1sDPzw/Pnj3DX3/9hebNm6NPnz6K4zZv3gxnZ2f07t1b/WDUumFERNVu7969wtDQUKSkpKjUffTRR6Jly5bi+PHjQk9PTyxYsEBERESIv//+W6xatUrRrrg5GNevXxcmJiZi0qRJ4tq1a+Lu3bvit99+E++//74QQojExERhaGgoZs+eLaKiosRvv/0mvLy8BABx7do1IYQQDx48EAYGBmLOnDnizp07YufOnaJevXoCgCLess4jhBD79+8XDg4OoqCgQFFWNEelaK7Lv/3788jlctGpUyfRokULcfDgQREdHS3Onj0r5s2bJy5fvqzoq7Tr06NHDzFgwADx8OFD8fTpUyGEENOnTxeurq7i7NmzIiIiQrzzzjvC0tJSBAYGKo7r0qWLmDZtmlJsjx49Evb29mLIkCHi4sWLIioqShw6dEi89dZbSp8vKChIjBs3TuWzEWlT0X93L76CgoKEEELk5eWJBQsWCHd3d2FgYCCcnJzEG2+8If7++29FHzKZTNSrV0989NFHlYqFiQpRDdGvXz/Rp0+fYuvCwsIEABEWFiZ2794tWrZsKQwNDYWdnZ0YNGiQol1Jk0UvXbokevToIczNzYWZmZnw9fUVy5YtU9T/9NNPwt3dXRgZGYn27duL/fv3KyUqQgjx22+/iYYNGwojIyPRtWtXsWHDBgFAaUJuWecpKCgQdevWFQcPHlSUlTdREUKItLQ0MWXKFOHi4iIMDAyEq6urGDVqlIiNjVW0Ke36nD9/Xvj6+gojIyNR9Pe458+fi8DAQGFubi4cHBzExx9/LMaOHVtmoiKEEHfv3hVvvPGGsLa2FiYmJqJJkyZi+vTpQi6XCyGEyM7OFpaWluL8+fMqxxJRIYkQL9xIJiLSgGXLlmHjxo2Ii4ur0HHffPMNfvvtNxw6dKiKItMdX3/9NX777TccPnxY26EQ6SzOUSEijfjmm2/Qpk0b2Nra4uzZs1i9erXSHinlNX78eCQnJyM9PV1llU9tY2BggC+//FLbYRDpNI6oEJFGzJgxAzt37kRSUhLq16+PMWPGYO7cuaVOJCUiKgsTFSIiItJZ3EKfiIiIdBYTFSIiItJZTFSIiIhIZzFRISIiIp3FRIWIiIh0FhMVIiIi0llMVIiIiEhnMVEhIiIincVEhYiIiHTW/wHKrIfeQnxBdAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=df , x='Acreage(Hectare)' , y='Production(Tons)', hue='Continent')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2d3da9f",
   "metadata": {},
   "source": [
    "## Do countries which yield more sugarcane per hectare produces more sugarcane in total?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "id": "7135dd20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Yield(Kg / Hectare)', ylabel='Production(Tons)'>"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=df , x='Yield(Kg / Hectare)' , y='Production(Tons)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d4a3e96",
   "metadata": {},
   "source": [
    "## Analysis for Continent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "7cbff035",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_continent=df.groupby('Continent').sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "261a1faf",
   "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>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>89681472.0</td>\n",
       "      <td>1616512611431392444816.2991354282537843002.994...</td>\n",
       "      <td>1439089.0</td>\n",
       "      <td>2142107.5</td>\n",
       "      <td>2332636.293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>721930425.0</td>\n",
       "      <td>260721882871264.303324219102482102321723341937...</td>\n",
       "      <td>10608319.0</td>\n",
       "      <td>1171871.4</td>\n",
       "      <td>1857769.303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>5823.0</td>\n",
       "      <td>5288</td>\n",
       "      <td>71.0</td>\n",
       "      <td>131870.9</td>\n",
       "      <td>536.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>173995947.0</td>\n",
       "      <td>4525241938.114913041683.5281084.1111084.393594...</td>\n",
       "      <td>1581983.0</td>\n",
       "      <td>1082602.4</td>\n",
       "      <td>3796081.508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>36177574.0</td>\n",
       "      <td>1373.4061759.199254556</td>\n",
       "      <td>490909.0</td>\n",
       "      <td>162419.1</td>\n",
       "      <td>28593.605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>865588126.0</td>\n",
       "      <td>3668.53174007549423731476850751861118951087104...</td>\n",
       "      <td>11369236.0</td>\n",
       "      <td>677192.7</td>\n",
       "      <td>3505531.738</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Production(Tons)  \\\n",
       "Continent                         \n",
       "Africa               89681472.0   \n",
       "Asia                721930425.0   \n",
       "Europe                   5823.0   \n",
       "North America       173995947.0   \n",
       "Oceania              36177574.0   \n",
       "South America       865588126.0   \n",
       "\n",
       "                                       Production_per_Person(Kg)  \\\n",
       "Continent                                                          \n",
       "Africa         1616512611431392444816.2991354282537843002.994...   \n",
       "Asia           260721882871264.303324219102482102321723341937...   \n",
       "Europe                                                      5288   \n",
       "North America  4525241938.114913041683.5281084.1111084.393594...   \n",
       "Oceania                                   1373.4061759.199254556   \n",
       "South America  3668.53174007549423731476850751861118951087104...   \n",
       "\n",
       "               Acreage(Hectare)  Yield(Kg / Hectare)  \\\n",
       "Continent                                              \n",
       "Africa                1439089.0            2142107.5   \n",
       "Asia                 10608319.0            1171871.4   \n",
       "Europe                     71.0             131870.9   \n",
       "North America         1581983.0            1082602.4   \n",
       "Oceania                490909.0             162419.1   \n",
       "South America        11369236.0             677192.7   \n",
       "\n",
       "               Production per Person(Kg)  \n",
       "Continent                                 \n",
       "Africa                       2332636.293  \n",
       "Asia                         1857769.303  \n",
       "Europe                           536.000  \n",
       "North America                3796081.508  \n",
       "Oceania                        28593.605  \n",
       "South America                3505531.738  "
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_continent.drop('Country' , axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1353d4a6",
   "metadata": {},
   "source": [
    "### Which continent produces maximum sugarcane?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "id": "ab0b9f36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Continent\n",
       "Africa           38\n",
       "Asia             25\n",
       "North America    22\n",
       "South America    11\n",
       "Oceania           4\n",
       "Europe            2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Continent'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "id": "8edf94ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Continent'>"
      ]
     },
     "execution_count": 210,
     "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_continent['Production(Tons)'].sort_values(ascending=False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "id": "1aeabd2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Continent'>"
      ]
     },
     "execution_count": 211,
     "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_continent['Acreage(Hectare)'].sort_values(ascending=False).plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c3cd05b",
   "metadata": {},
   "source": [
    "### Do number of countries in a Continent effects production of sugarcane?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "id": "bce918e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_continent['number_of_countries']=df.groupby('Continent').count()['Country']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "49ade6ef",
   "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>Production(Tons)</th>\n",
       "      <th>Production_per_Person(Kg)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "      <th>number_of_countries</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>89681472.0</td>\n",
       "      <td>1616512611431392444816.2991354282537843002.994...</td>\n",
       "      <td>1439089.0</td>\n",
       "      <td>2142107.5</td>\n",
       "      <td>2332636.293</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>721930425.0</td>\n",
       "      <td>260721882871264.303324219102482102321723341937...</td>\n",
       "      <td>10608319.0</td>\n",
       "      <td>1171871.4</td>\n",
       "      <td>1857769.303</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>5823.0</td>\n",
       "      <td>5288</td>\n",
       "      <td>71.0</td>\n",
       "      <td>131870.9</td>\n",
       "      <td>536.000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North America</th>\n",
       "      <td>173995947.0</td>\n",
       "      <td>4525241938.114913041683.5281084.1111084.393594...</td>\n",
       "      <td>1581983.0</td>\n",
       "      <td>1082602.4</td>\n",
       "      <td>3796081.508</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceania</th>\n",
       "      <td>36177574.0</td>\n",
       "      <td>1373.4061759.199254556</td>\n",
       "      <td>490909.0</td>\n",
       "      <td>162419.1</td>\n",
       "      <td>28593.605</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South America</th>\n",
       "      <td>865588126.0</td>\n",
       "      <td>3668.53174007549423731476850751861118951087104...</td>\n",
       "      <td>11369236.0</td>\n",
       "      <td>677192.7</td>\n",
       "      <td>3505531.738</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Production(Tons)  \\\n",
       "Continent                         \n",
       "Africa               89681472.0   \n",
       "Asia                721930425.0   \n",
       "Europe                   5823.0   \n",
       "North America       173995947.0   \n",
       "Oceania              36177574.0   \n",
       "South America       865588126.0   \n",
       "\n",
       "                                       Production_per_Person(Kg)  \\\n",
       "Continent                                                          \n",
       "Africa         1616512611431392444816.2991354282537843002.994...   \n",
       "Asia           260721882871264.303324219102482102321723341937...   \n",
       "Europe                                                      5288   \n",
       "North America  4525241938.114913041683.5281084.1111084.393594...   \n",
       "Oceania                                   1373.4061759.199254556   \n",
       "South America  3668.53174007549423731476850751861118951087104...   \n",
       "\n",
       "               Acreage(Hectare)  Yield(Kg / Hectare)  \\\n",
       "Continent                                              \n",
       "Africa                1439089.0            2142107.5   \n",
       "Asia                 10608319.0            1171871.4   \n",
       "Europe                     71.0             131870.9   \n",
       "North America         1581983.0            1082602.4   \n",
       "Oceania                490909.0             162419.1   \n",
       "South America        11369236.0             677192.7   \n",
       "\n",
       "               Production per Person(Kg)  number_of_countries  \n",
       "Continent                                                      \n",
       "Africa                       2332636.293                   38  \n",
       "Asia                         1857769.303                   25  \n",
       "Europe                           536.000                    2  \n",
       "North America                3796081.508                   22  \n",
       "Oceania                        28593.605                    4  \n",
       "South America                3505531.738                   11  "
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_continent.drop('Country' , axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "id": "f9bee44d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "continent_names = df_continent.index.to_list()\n",
    "sns.lineplot(data = df_continent,x = \"number_of_countries\", y= \"Production(Tons)\" )\n",
    "plt.xticks(df_continent[\"number_of_countries\"], continent_names, rotation =90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe70a9ff",
   "metadata": {},
   "source": [
    "### Correlation for continent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "id": "27c51623",
   "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>Production(Tons)</th>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "      <th>number_of_countries</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Production(Tons)</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.994897</td>\n",
       "      <td>0.091201</td>\n",
       "      <td>0.522211</td>\n",
       "      <td>0.109244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acreage(Hectare)</th>\n",
       "      <td>0.994897</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111166</td>\n",
       "      <td>0.463215</td>\n",
       "      <td>0.132817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yield(Kg / Hectare)</th>\n",
       "      <td>0.091201</td>\n",
       "      <td>0.111166</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.542961</td>\n",
       "      <td>0.989712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production per Person(Kg)</th>\n",
       "      <td>0.522211</td>\n",
       "      <td>0.463215</td>\n",
       "      <td>0.542961</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.540086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>number_of_countries</th>\n",
       "      <td>0.109244</td>\n",
       "      <td>0.132817</td>\n",
       "      <td>0.989712</td>\n",
       "      <td>0.540086</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Production(Tons)  Acreage(Hectare)  \\\n",
       "Production(Tons)                   1.000000          0.994897   \n",
       "Acreage(Hectare)                   0.994897          1.000000   \n",
       "Yield(Kg / Hectare)                0.091201          0.111166   \n",
       "Production per Person(Kg)          0.522211          0.463215   \n",
       "number_of_countries                0.109244          0.132817   \n",
       "\n",
       "                           Yield(Kg / Hectare)  Production per Person(Kg)  \\\n",
       "Production(Tons)                      0.091201                   0.522211   \n",
       "Acreage(Hectare)                      0.111166                   0.463215   \n",
       "Yield(Kg / Hectare)                   1.000000                   0.542961   \n",
       "Production per Person(Kg)             0.542961                   1.000000   \n",
       "number_of_countries                   0.989712                   0.540086   \n",
       "\n",
       "                           number_of_countries  \n",
       "Production(Tons)                      0.109244  \n",
       "Acreage(Hectare)                      0.132817  \n",
       "Yield(Kg / Hectare)                   0.989712  \n",
       "Production per Person(Kg)             0.540086  \n",
       "number_of_countries                   1.000000  "
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_df = df_continent.select_dtypes(include=['float64', 'int64'])\n",
    "correlation_matrix = numeric_df.corr()\n",
    "correlation_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "ee80ebb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(correlation_matrix ,annot=True , cmap='RdBu'  )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8063f5ae",
   "metadata": {},
   "source": [
    "### Production distribution by continent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "c53d13d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_continent[\"Production(Tons)\"].plot(kind = \"pie\", autopct = \"%.2f%%\")\n",
    "plt.title('Production Distribution by Continent')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c123051",
   "metadata": {},
   "source": [
    "### Do continent with highest land produces more sugarcane?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "8bc287b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Acreage(Hectare)', ylabel='Production(Tons)'>"
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data = df_continent,x = \"Acreage(Hectare)\", y= \"Production(Tons)\" )"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}