--- a
+++ b/I‏initial_Analysis.ipynb
@@ -0,0 +1,3618 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import sklearn\n",
+    "import numpy as np\n",
+    "import statsmodels as sm\n",
+    "import warnings\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import *\n",
+    "import random \n",
+    "import seaborn as sns\n",
+    "warnings.filterwarnings('ignore')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "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>ID</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>age</th>\n",
+       "      <th>height(cm)</th>\n",
+       "      <th>weight(kg)</th>\n",
+       "      <th>waist(cm)</th>\n",
+       "      <th>eyesight(left)</th>\n",
+       "      <th>eyesight(right)</th>\n",
+       "      <th>hearing(left)</th>\n",
+       "      <th>hearing(right)</th>\n",
+       "      <th>...</th>\n",
+       "      <th>hemoglobin</th>\n",
+       "      <th>Urine protein</th>\n",
+       "      <th>serum creatinine</th>\n",
+       "      <th>AST</th>\n",
+       "      <th>ALT</th>\n",
+       "      <th>Gtp</th>\n",
+       "      <th>oral</th>\n",
+       "      <th>dental caries</th>\n",
+       "      <th>tartar</th>\n",
+       "      <th>smoking</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>42457</td>\n",
+       "      <td>M</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>170.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>85</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>68.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>53335</td>\n",
+       "      <td>M</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>170.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>95</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>67</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>30283</td>\n",
+       "      <td>M</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>87.8</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>43</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>7654</td>\n",
+       "      <td>M</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>99</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16.1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>89</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4978</td>\n",
+       "      <td>F</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>78.4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44548</th>\n",
+       "      <td>23835</td>\n",
+       "      <td>M</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>84.5</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44549</th>\n",
+       "      <td>44943</td>\n",
+       "      <td>M</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>180.0</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>18</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44550</th>\n",
+       "      <td>36348</td>\n",
+       "      <td>M</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>76.5</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>18</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44551</th>\n",
+       "      <td>37798</td>\n",
+       "      <td>M</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>160.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>87.2</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>15.9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>96</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44552</th>\n",
+       "      <td>5234</td>\n",
+       "      <td>F</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>150.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>64.7</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>44553 rows × 27 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          ID gender   age  height(cm)  weight(kg) waist(cm)  eyesight(left)  \\\n",
+       "0      42457      M  45.0       170.0        65.0        85             1.2   \n",
+       "1      53335      M  50.0       170.0        75.0        95             1.0   \n",
+       "2      30283      M  70.0       160.0        70.0      87.8             0.6   \n",
+       "3       7654      M  35.0       180.0        90.0        99             1.2   \n",
+       "4       4978      F  50.0       150.0        60.0      78.4             1.0   \n",
+       "...      ...    ...   ...         ...         ...       ...             ...   \n",
+       "44548  23835      M  40.0       160.0        60.0      84.5             0.9   \n",
+       "44549  44943      M  35.0       180.0        75.0      92.0             1.0   \n",
+       "44550  36348      M  20.0       175.0        60.0      76.5             0.9   \n",
+       "44551  37798      M  45.0       160.0        65.0      87.2             0.5   \n",
+       "44552   5234      F  40.0       150.0        40.0      64.7             1.0   \n",
+       "\n",
+       "       eyesight(right)  hearing(left)  hearing(right)  ...  hemoglobin  \\\n",
+       "0                  1.2            1.0             1.0  ...        15.4   \n",
+       "1                  1.0            1.0             1.0  ...        15.2   \n",
+       "2                  0.6            1.0             1.0  ...        15.8   \n",
+       "3                  1.0            1.0             1.0  ...        16.1   \n",
+       "4                  1.0            1.0             1.0  ...        14.0   \n",
+       "...                ...            ...             ...  ...         ...   \n",
+       "44548              1.0            1.0             1.0  ...        14.0   \n",
+       "44549              1.2            1.0             1.0  ...        15.9   \n",
+       "44550              0.3            1.0             1.0  ...        15.6   \n",
+       "44551              1.0            1.0             1.0  ...        15.9   \n",
+       "44552              0.9            1.0             1.0  ...        14.0   \n",
+       "\n",
+       "       Urine protein  serum creatinine   AST   ALT  Gtp  oral  dental caries  \\\n",
+       "0                1.0               1.5  41.0  68.0   34     Y              0   \n",
+       "1                1.0               0.9  38.0  45.0   67     Y              0   \n",
+       "2                1.0               1.0  22.0  24.0   43     Y              0   \n",
+       "3                1.0               1.0  16.0  31.0   89     Y              0   \n",
+       "4                1.0               0.8  23.0  19.0   16     Y              0   \n",
+       "...              ...               ...   ...   ...  ...   ...            ...   \n",
+       "44548              1               0.9  20.0  17.0   15     Y              0   \n",
+       "44549              1               0.9  19.0  21.0   18     Y              0   \n",
+       "44550              1               1.2  18.0  13.0   18     Y              1   \n",
+       "44551              1               1.3  37.0  48.0   96     Y              1   \n",
+       "44552              1               0.7  16.0  15.0   16     Y              0   \n",
+       "\n",
+       "      tartar  smoking  \n",
+       "0          Y        0  \n",
+       "1          Y        1  \n",
+       "2          Y        1  \n",
+       "3          N        1  \n",
+       "4          N        1  \n",
+       "...      ...      ...  \n",
+       "44548      N        1  \n",
+       "44549      Y        0  \n",
+       "44550      Y        1  \n",
+       "44551      Y        1  \n",
+       "44552      Y        0  \n",
+       "\n",
+       "[44553 rows x 27 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Splitting x_train and y_train\n",
+    "df = pd.read_csv(\"/Users/Xy_train.csv\")\n",
+    "x_train = df.iloc[:,:-1]\n",
+    "y_train = df.iloc[:,-1]\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function for random color selection for the plots\n",
+    "def random_color():\n",
+    "    r = random.random()\n",
+    "    b = random.random()\n",
+    "    g = random.random()\n",
+    "    color = (r, g, b)\n",
+    "    return color"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#function to detected misformatted and try to transform them to the right format\n",
+    "def detect_misformatted(df):\n",
+    "    for i in df.columns:\n",
+    "        if df[i].dtype == 'object':\n",
+    "            if df[i].apply(type).eq(str).all():\n",
+    "                print(i, \"is correctly formatted\")\n",
+    "            else:\n",
+    "                print(i, \"is not correctly formatted (object)\")\n",
+    "        else:\n",
+    "            if df[i].apply(type).eq(float).all():\n",
+    "                try:\n",
+    "                    df[i] = df[i].astype(float)\n",
+    "                except:\n",
+    "                    print(i, \"is not correctly formatted (not object)\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "gender is correctly formatted\n",
+      "waist(cm) is not correctly formatted (object)\n",
+      "Urine protein is not correctly formatted (object)\n",
+      "oral is not correctly formatted (object)\n",
+      "tartar is not correctly formatted (object)\n"
+     ]
+    }
+   ],
+   "source": [
+    "detect_misformatted(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "M    28326\n",
+      "F    16227\n",
+      "Name: gender, dtype: int64\n",
+      "1.0    30928\n",
+      "1      11162\n",
+      "2.0     1066\n",
+      "3.0      558\n",
+      "2        366\n",
+      "3        185\n",
+      "4.0      151\n",
+      "5.0       51\n",
+      "4         51\n",
+      "5         15\n",
+      "6.0        8\n",
+      "6          2\n",
+      "yes        1\n",
+      "Name: Urine protein, dtype: int64\n",
+      "Y      44549\n",
+      "12         1\n",
+      "yes        1\n",
+      "Name: oral, dtype: int64\n",
+      "Y    24652\n",
+      "N    19900\n",
+      "Name: tartar, dtype: int64\n",
+      "80       1104\n",
+      "82       1053\n",
+      "84       1004\n",
+      "81        990\n",
+      "78        959\n",
+      "         ... \n",
+      "100.7       1\n",
+      "118.5       1\n",
+      "61.6        1\n",
+      "114.8       1\n",
+      "67.9        1\n",
+      "Name: waist(cm), Length: 1000, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Taking a look at the data\n",
+    "print(df.gender.value_counts())\n",
+    "print(df[\"Urine protein\"].value_counts())\n",
+    "print(df.oral.value_counts())\n",
+    "print(df.tartar.value_counts())\n",
+    "print(df[\"waist(cm)\"].value_counts())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "22816\n",
+      "Sample #  22816 was deleted\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Revealing rows to delete because of problems with the data\n",
+    "def isfloat(value):\n",
+    "  try:\n",
+    "    float(value)\n",
+    "    return True\n",
+    "  except ValueError:\n",
+    "    return False\n",
+    "\n",
+    "l_1 = list(df[\"waist(cm)\"])\n",
+    "misplaced_1 = [ind for ind,x in enumerate(l_1) if isfloat(x) == False]\n",
+    "# The Identified problematic rows\n",
+    "print(misplaced_1[0])\n",
+    "\n",
+    "#Deleting rows with misplaced data ( Run only once)\n",
+    "try:\n",
+    "  df.drop([misplaced_1[0]],axis=0,inplace = True)\n",
+    "  print(\"Sample # \",misplaced_1[0] ,\"was deleted\")\n",
+    "except:\n",
+    "  print(\"Already deleted\")\n",
+    "\n",
+    "df[\"waist(cm)\"] = df[\"waist(cm)\"].astype(float)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Y    44548\n",
+      "Name: oral, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Identified as useless, because all of the samples are 1 and the only 12 \n",
+    "# different samples are misformatted\n",
+    "#Fixing oral values\n",
+    "df = df[(df[\"oral\"] != \"yes\") & ((df[\"oral\"] != \"12\"))]\n",
+    "df[\"oral\"] = df[\"oral\"].astype(object)\n",
+    "print(df[\"oral\"].value_counts())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1.0    42088\n",
+      "2.0     1431\n",
+      "3.0      743\n",
+      "4.0      202\n",
+      "5.0       66\n",
+      "6.0       10\n",
+      "Name: Urine protein, dtype: int64\n",
+      "col_0          Prior Probabity\n",
+      "Urine protein                 \n",
+      "1.0                   0.944757\n",
+      "2.0                   0.032122\n",
+      "3.0                   0.016678\n",
+      "4.0                   0.004534\n",
+      "5.0                   0.001482\n",
+      "6.0                   0.000224\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Removing the row with the yes value and merging the float and the integers to one value \n",
+    "df = df[df[\"Urine protein\"] != \"yes\"]\n",
+    "df[\"Urine protein\"] = df[\"Urine protein\"].astype(float)\n",
+    "print(df[\"Urine protein\"].value_counts())\n",
+    "print(pd.crosstab(df[\"Urine protein\"],\"Prior Probabity\")/len(df))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Y    24649\n",
+      "N    19899\n",
+      "Name: tartar, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#replacing the nan value with the mode\n",
+    "df['tartar'][df[\"tartar\"] == \"nan\"] = df['tartar'].mode()[0]\n",
+    "print(df[\"tartar\"].value_counts())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#plot histogram and density of all the continous features ( without the outliers !)\n",
+    "def plot_hist(df):\n",
+    "    for i in df.columns:\n",
+    "        try:\n",
+    "            sns.displot( height=4,aspect=1,data = df[i][(df[i]<= (df[i].quantile(0.75) + 1.5*(df[i].quantile(0.75) - df[i].quantile(0.25))))\n",
+    "            & (df[i]>=0)].astype(float),kde=True,stat = \"proportion\",fill=True,color = random_color())\n",
+    "        except:\n",
+    "            print(i, \"Not a continous feature\")\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "gender Not a continous feature\n",
+      "oral Not a continous feature\n",
+      "tartar Not a continous feature\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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zGpv8/AazmaAZCQB47f83yuFo8hhE8yOJQQi9HD9G6bafUEYjZT376BaG/+RpKP8AjEUXsKTt1y0O0XxIYhBCJ4YN6wBQ0f+Bw9NLvzg8PXFM/D0Apck/gVK6xSKaB0kMQuhBKbTN31V8+ZvbdA4G1F334DCZsOflYk4/rnc4QmeSGITQgVtuDlrmWTRPT9R1N+gdDnh5U9q3Yk10z9S9ctfQxkliEEIH5pO/AOAdMw482ukcTYWSvgPB3R33vFy07T/pHY7QkSQGIXRgTj8BgO+dE/QN5BLKw4N2Q4YDYPhoOUruGtosSQxCNDF7/nncLhSijEa8xsTqHY6LdiOjUAYj2oF9lPy4Re9whE4kMQjRxKzHK7qRGDAIo6+vvsFcxuDtQ2mviqmzOYte1TkaoRdZk0+IJlZ+/BgAjlHROkdSvZIBg2h39BAlWzbCgdRavcdms7nUhZIlP1s2uWMQoik5HJRfHF9QI5tnYnB4+6DGjgdw1nG6mvoUDxTNlyQGIZqQe3YWymrFYfaA3n31DqdGjvsfAoMBQ/IPuOXl1uo9dSkeKJo3SQxCNCHT2dMAWMM6gqEZ//Pr3NU5Y6pdWu26k0Tr0Yz/zxSi9XEmho6ddI7k6gL+OAMAjxO/4CiThXzaEkkMQjSV/PO45eYAYA1r/omh3cgoVPeeaHY7lloOQovWQRKDEE1E27kNDTC274DD01PvcK5K0zQcd1R0J5XtTZEH3toQSQxCNBFtZzIApm49dI6k9tRvbkO5uWHPzcF25pTe4YgmIolBiCaglELbuQ0A927ddY6mDrx9KIuoiLdsb4rOwYimIolBiCZg+TkVLS8X5eaGe8fOeodTJ6W9+wFgOZSGm9WiczSiKcijiUJco0uf+j18+DBB1SyPWZyUCIA1JAythT0RbAtqj7FDCPZzWQSdPY2le0+9QxKNrFncMSxZsoSIiAg8PDyIiopix44dV2y/evVq+vbti4eHB5GRkaxfv965r7y8nGeffZbIyEi8vLwIDw9n8uTJnD171uUYERERaJrm8nr1VakNI+ru0qd+D7z3Lufz86u0Kdp0MTGEN//ZSFVoGh4DBwEQfDZd52BEU9A9MaxatYqEhATmzZtHSkoKgwcPJjY2lnPnzlXbfuvWrUyaNIlp06axZ88e4uLiiIuLY//+irVqS0pKSElJ4YUXXiAlJYU1a9Zw6NAh7rjjjirHeumll8jIyHC+ZsyY0ajXKlqvyqd+Owf4V9nnKC6mNPlHoIUmBsDcbwBoGj755zEVXdA7HNHIdE8MixYtYvr06UydOpX+/fuzdOlSPD09ee+996pt//bbbzNu3DhmzZpFv379ePnllxk2bBiLFy8GwM/Pj8TERO655x769OnDddddx+LFi9m9ezfp6a5/7fj4+BAaGup8eXnpt+6uaL1Ktn6PslpRoWHYff30DqdeDF7euF+cTeV7Ru4aWjtdE4PVamX37t3ExMQ4txkMBmJiYkhOTq72PcnJyS7tAWJjY2tsD1BQUICmafj7+7tsf/XVVwkKCmLo0KG88cYb2Gy2Go9hsVgoLCx0eQlRG0UXxxfUyGjQNJ2jqT+PAZEA+J5Ol2caWjldR8FycnKw2+2EhIS4bA8JCeHgwYPVviczM7Pa9pmZmdW2Lysr49lnn2XSpEn4XlL7/oknnmDYsGEEBgaydetWZs+eTUZGBosWLar2OAsWLODFF1+sy+UJAUDxpm8BUKOi4chhnaOpP1PP3tjc3DCVlmA7nQ7uHnqHJBqJ7l1Jjam8vJx77rkHpRR///vfXfYlJCRw8803M2jQIB599FEWLlzIO++8g8VS/XS82bNnU1BQ4HydOiUP+4hayMzAeuQwGI2oYSP1juaaaO7u5IV2BKBMSmS0aromhuDgYIxGI1lZWS7bs7KyCA0NrfY9oaGhtWpfmRROnjxJYmKiy91CdaKiorDZbJw4caLa/WazGV9fX5eXEFej7ajo4mw3Igq8fXSO5trldOwCgPVQGlyh61W0bLomBpPJxPDhw0lKSnJuczgcJCUlER1d/SIm0dHRLu0BEhMTXdpXJoUjR47w3XffERR09frwe/fuxWAw0KFDh3pejRBVVZbB8Lr1NzpH0jAKA4Mpb+eJslgwnz6pdziikej+pE1CQgJTpkxhxIgRjBo1irfeeovi4mKmTp0KwOTJk+nYsSMLFiwA4Mknn2T06NEsXLiQ8ePHs3LlSnbt2sWyZcuAiqTwu9/9jpSUFNatW4fdbneOPwQGBmIymUhOTmb79u3ccsst+Pj4kJyczMyZM3nggQcICAjQ54MQrY/DgZZS8UyO961jdQ6mgWgaBR07E3z0EB6/HNU7GtFIdE8M9957L9nZ2cydO5fMzEyGDBnChg0bnAPM6enpGC5Z0OT6669nxYoVzJkzh+eff55evXqxdu1aBg4cCMCZM2f44osvABgyZIjLuTZt2sTNN9+M2Wxm5cqVzJ8/H4vFQrdu3Zg5cyYJCQlNc9GiTXDPOYdWVIQxIBCPIcPg55/1DqlBFHbqQvDRQ5jOnMJ+Pk/vcEQj0D0xAMTHxxMfH1/tvs2bN1fZNnHiRCZOnFht+4iIiKtOpRs2bBjbtm2rc5xC1EXlojxeN49BMxp1jqbhWL19cQsNx5Z5Fm3jt3DTaL1DEg2sVc9KEkJPprNnAPBqLd1IlzD3r7hDN2z8VudIRGOQxCBEI3CUleGWmw1U3DG0NqY+/VCAtv/flJ+SQejWRhKDEI2gPP0EmlKoLhG4t4D1nevK6ONDeWgYAAVrPtE5GtHQJDEI0QjKTx4HQA2P0jmSxlMWUVE7qVASQ6sjiUGIRmA9cTExjGy9icHSpRvKaMSS+m+4mAhF6yCJQYgG5lZSjON8HkrTUIOH6R1Oo1EeHqiR1wFgSPpG52hEQ5LEIEQD88qpWEukPLhDqyiDcSVqzDiAimmrUnG11WgWzzEI0Zo4E0NYR8w6nN/mcHD4cEUV15qWGm0o6sbRaB4ecOokbufzIKxqjbNLlz4F6NevH24tbHnTtkZ+OkI0JKXwvJgYrDolhvS88xR88A+Ce3TnwJFjRAYFQHhY45zM0wuvMWMp+uoLzOnHoX//Kk0qlz7tERzEsZxcePa/iYyMbJx4RIOQxCBEA/K8UICb1YrmbqK8feMVZLzaXUHXAH/6h4bwS05uo8VQyfc/4y4mhhM1tqlc+lS0DJIYhGhAfhfvFtw6dwFD4w3hNeldwVV4x45HGY245Z/Hntf4iUg0Phl8FqIBVSYGU0T3Rj9X5V1B5wD/Rj/XlRj9A1BDRwBgOXJI11hEw5DEIEQDUTYbvnk5ALhHdNM5mqalbroVAOthSQytgSQGIRpI+ZlTGBwOys0eGIOC9Q6nSakbR6MAW8YZDMVFeocjrpEkBiEaSPnFp51LgjugaZrO0TSxoPaUt68YXDZLUb0WTxKDEA2ksj5ScSPORmrOLF0jACqmrYoWTRKDEA1AK7diy6pYQrYkqL3O0ejD0jkCAPesTCi6oG8w4ppIYhCiAbifywKlKGvnia2dp97h6MLh44sxMAhNKbRd2/UOR1wDSQxCNAD3cxV3CxcC29ag8+Xcu/cEQNv2k86RiGshiUGIBuB+sRupsJaJofLJ5dTUVA4fPoxqxHpGTcnU42Ji2P5Tq7mmtkiefBbiWlksuOdULON5ISAIj1q8pTk9uXy5aynC596pCw43dwx5uZTt20u7Ia237HhrJncMQlyrgz+jOexoXl6UeXnX+m3N5cnly6XnnefUB/8gb/lSDrz3Lufz82v9Xs1oxBreEYCixK8bKULR2Op1x2C32/nggw9ISkri3LlzOC77i2Ljxo0NEpwQzcXlpaPh1/LR2r49QMVfy7SS5xeupQiftWNnPNJPUJy4gfaz/rsRohONrV6J4cknn+SDDz5g/PjxDBw4sO09zCPanEtLRwMu5aN/TQyd9Qyx2bB2rPgcSnfvwJabo3M0oj7qlRhWrlzJJ598wu23397Q8QjRbFVXOlrZ7Wj7/w1cvGPIztMjtGbF4emF6tkb7ehhijd+C31l7YWWpl5jDCaTiZ49ezZ0LEK0OGX796GVFONwd8fYRp94ro6KugGAom9lnKElqldiePrpp3n77bdRssaraONKt/4AQHmHULRGXH+hpXFEXQ9A8eYkkGmrLU69upJ+/PFHNm3axNdff82AAQNwd3d32b9mzZoGCU6I5q4k+UegIjGISwyIxODtgz03Bw4f1DsaUUf1Sgz+/v7cddddDR2LEC2LUpRcfMK3PKRlJYZLn1WAuj+vcFVu7niOvoWir75A25nccMcVTaJeieH9999v6DiEaHnST2DPyUaZzJQ3UuG8a3nY7EoufcAOaJSH7LxvHUvRV19g2JEMQ0Y02HFF47umJ5+zs7M5dKhixaY+ffrQvn3brCop2qbKaar0HwhGY6OcozGfkK58VgGo1/MKV+N1628qvjiwD63/oAY/vmg89RotKy4u5g9/+ANhYWHcdNNN3HTTTYSHhzNt2jRKSkoaOkYhmiXt3xWJQQ0a2qjnaa5PSF+NqWs3TD16otntuGee1TscUQf1SgwJCQls2bKFL7/8kvz8fPLz8/n888/ZsmULTz/9dEPHKESzpKU2TWJoybxuHQuA6expnSMRdVGvxPDpp5+yfPlybrvtNnx9ffH19eX222/n3Xff5V//+ldDxyhEs2MoKkLLzACjETVAuklqUtmdZD57Wqa3tyD1SgwlJSWEhIRU2d6hQ4d6dSUtWbKEiIgIPDw8iIqKYseOHVdsv3r1avr27YuHhweRkZGsX7/eua+8vJxnn32WyMhIvLy8CA8PZ/LkyZw963orm5eXx/3334+vry/+/v5MmzaNoiJZxFzUTuX6Cx6Dh4Jn21yYpza8bhiNcnPDWHQBx/nzeocjaqleiSE6Opp58+ZRVlbm3FZaWsqLL75IdHR0nY61atUqEhISmDdvHikpKQwePJjY2FjOnTtXbfutW7cyadIkpk2bxp49e4iLiyMuLo79+/cDFUkrJSWFF154gZSUFNasWcOhQ4e44447XI5z//33c+DAARITE1m3bh3ff/89jzzySB0/CdHa2Gw2UlNTnS+bzVZtO1NWBgCe193YlOG1OAZvb1TkEACsJ47pG4yotXrNSnr77beJjY2lU6dODB48GIB///vfeHh48M0339TpWIsWLWL69OlMnToVgKVLl/LVV1/x3nvv8dxzz1V77nHjxjFr1iwAXn75ZRITE1m8eDFLly7Fz8+PxMREl/csXryYUaNGkZ6eTpcuXUhLS2PDhg3s3LmTESMqptG988473H777bz55puEh4fX+TMRrcOlxfIuLZR3uco7Bs/rJTFcjRoVDXt2Yf3lGIR30TscUQv1umMYOHAgR44cYcGCBQwZMoQhQ4bw6quvcuTIEQYMGFDr41itVnbv3k1MTMyvARkMxMTEkJxc/UMxycnJLu0BYmNja2wPUFBQgKZp+Pv7O4/h7+/vTAoAMTExGAwGtm+vfq1ai8VCYWGhy0u0TpXF8iorqV7OUVKMW0E+AO2uu6EJI2uZ1MiKXoTyUyfBbndur+3dmWh69X6OwdPTk+nTp1/TyXNycrDb7VXGK0JCQjh4sPrH6DMzM6ttn5mZWW37srIynn32WSZNmoSvr6/zGB06uBY8c3NzIzAwsMbjLFiwgBdffLFW1yVat/LTpwBQ3XrgFhgEZ2Qq5hX16IXdox3GslLnnRbU/u5MNL1aJ4YvvviC2267DXd3d7744osrtr28P18v5eXl3HPPPSil+Pvf/35Nx5o9ezYJCQnO7wsLC+ncWervt0XOxHCx71xchcGANbwj7X45WmXaanWlzIX+ap0Y4uLinH9px8XF1dhO0zTsl9wuXklwcDBGo5GsrCyX7VlZWYSGVl97JjQ0tFbtK5PCyZMn2bhxo/NuofIYlw9u22w28vLyajyv2WzGbDbX6rpE62Y7lQ7I8wt1YQ3vXG1iEM1TrccYHA6Hs/vF4XDU+KptUoCKdR2GDx9OUlKSy3mSkpJqnN0UHR3t0h4gMTHRpX1lUjhy5AjfffcdQUFBVY6Rn5/P7t27nds2btyIw+EgKiqq1vGLtsdhsWC72B2iBktiqK3KdaDdz+eBrOrW7NVr8Pmjjz7CYrFU2W61Wvnoo4/qdKyEhATeffddPvzwQ9LS0njssccoLi52zlKaPHkys2fPdrZ/8skn2bBhAwsXLuTgwYPMnz+fXbt2ER8fD1Qkhd/97nfs2rWLjz/+GLvdTmZmJpmZmVitVqBird5x48Yxffp0duzYwU8//UR8fDz33XefzEgSV2Q7exqUwu7tDVJqu9aURzvcQipqPGk7t+kcjbiaeiWGqVOnUlBQUGX7hQsXnL/Qa+vee+/lzTffZO7cuQwZMoS9e/eyYcMG5wBzeno6GRkZzvbXX389K1asYNmyZQwePJh//etfrF27loEDBwJw5swZvvjiC06fPs2QIUMICwtzvrZu3eo8zscff0zfvn0ZM2YMt99+OzfeeCPLli2rz8ch2pDy0xXdSNYODVeFtK1w71ZRybW6MtyVVWRlllLzUK9ZSUopNE2rsv306dP4+fnV+Xjx8fHOv/gvt3nz5irbJk6cyMSJE6ttHxERUatH7wMDA1mxYkWd4hSi/OL4QnlIKO5XaStcmbp1p3TbT2g7t6EuKx9+eRlwmaWkrzolhqFDh6JpGpqmMWbMGNzcfn273W7n+PHjjBs3rsGDFKJZKC/HdvZMxZeh0uVYV27hnXC4u2MoyKds314wuqbWS8uAC33VKTFUzkbau3cvsbGxeHt7O/eZTCYiIiKYMGFCgwYoRHNhys4ChwODjy92b5+rtm/0VdJaGM1opDw0HPOpkxQnfQNj/1PvkEQN6pQY5s2bh91uJyIigrFjxxIWJv2sou2oXFPAvWsEVNOVermmWCWtpbGGd8J86iRFGxMlMTRjdR58NhqN/PGPf3QpoCdEW2CqTAxdImr9nsrukZa40E5jsIR3AqB05zYolmrGzVW9ayX98ssvDR2LEM1X0QXcLs6/d+/SVedgWi6Hjy+qY2ew2dBSduodjqhBvRLDn//8Z5555hnWrVtHRkaGFJcTrZ62bw+aUhj8AzD61n3mnfiVGlXxMKq2o+bCl0Jf9ZquevvttwMVNZEunbZaOY21Lk8/C9ESaCm7ADB1jdA3kFZAjYyGzz6peNAt5ja9wxHVqFdi2LRpU0PHIUSzpu2p6Paoy/hCa3fprKu6zLhSQ0eAuztaxhmMFwohTJ4gb27qlRhGjx7d0HEI0WzZ8nLRjlb8ApTxhV9dOuuqTjOuPD3xjLqekh+3VBTV69278YMVdVLv9Rjy8/NZvnw5aWlpAAwYMIA//OEP9XryWYjmrOTHLQDY/AMweHlfpXXbUjnr6pec3Dq9z2vM2F8Tg2h26jX4vGvXLnr06MFf/vIX8vLyyMvLY9GiRfTo0YOUlJSGjlEIXRVvrFgq1ipPOzcY71t/A1RMAVbl5TpHIy5XrzuGmTNncscdd/Duu+86y2LYbDYefvhhnnrqKb7//vsGDVII3ShFUeIGAKwdZWGmhmIeOBgVEoqWlYn1xHG9wxGXqfcdw7PPPutSK8nNzY3/+q//YteuXQ0WnBC6O3oYW8YZlIcH1tC2+8RyQ9M0DXXjzQBYjx7SNxhRRb0Sg6+vL+np6VW2nzp1Ch+fq9eQEaKl0JJ/AEANjwJjvYfkRDV+TQyHoQ3XkGqO6pUY7r33XqZNm8aqVas4deoUp06dYuXKlTz88MNMmjSpoWMUQjeG5B8BUNfdqHMkrY8aNBSHyYwqLcUnP0/vcMQl6vUn0JtvvommaUyePNm5mIa7uzuPPfYYr776aoMGKIRetLJSSNsPgIq+Eb5Yo3NErYybG5ZOXWj3yxECM89SENxe74jERfW6YzCZTLz99tucP3+evXv3snfvXvLy8vjLX/6C2Wxu6BiF0IX5zCk0pTBHDob2HfQOp1WyXHxgMCDrLNRigS3RNK6p09TT0xN/f3/n10K0JqbTpwDwHnsbxTrH0lpZwzuBmxsepSWYL1RdLljoo153DDabjRdeeAE/Pz8iIiKIiIjAz8+POXPmUC5zkkUroOx258NXPmPH6xxNK+bmhimiYr0Kn4yzOgcjKtXrjmHGjBmsWbOG119/nejoikqJycnJzJ8/n9zcXP7+9783aJBCNCSbzeZ8Yr9Sv379XKZf286cxlBuRfn54zFsBPz8c1OH2WaYevfBevQwPpln9A5FXFSvxLBixQpWrlzJbbf9Whlx0KBBdO7cmUmTJkliEM1aWloaO197hR7BQUD1C89bjx0BQEXdgGY06hJnW2Hq2QeHtg7zhUJsOdm4ySC07urVlWQ2m4mIiKiyvVu3bphMpmuNSYhG1yM4yLmyWmWCuJT1l6PAxdlIolEZPDwoaB8CgOWg3Jk1B/VKDPHx8bz88stYLBbnNovFwiuvvEJ8fHyDBSeEHgwXCrHn5qA0rWLtANHocsMqlvy0HvwZJbOTdFevrqQ9e/aQlJREp06dGDx4MAD//ve/sVqtjBkzhrvvvtvZds0amfstWhbz6Yqn+ss7hGKQJ/mbxPkOYTgMBsjLxZ59zmXf5WNCl48HiYZXr0/X39+fCRMmuGzr3FkKjInWwXSmYpqqtWNnPHSOpa2wu7tT3D4Un6yzFd1Jvfs79106JlTdeJBoePVKDO+//35DxyFE81BaiikzAwBLpy41Job6rl7WFlz62UDtP5/C8E6/JoZe/Vz2VY4JiaZxTfdj2dnZHDpUURmxT58+tG8vswlEy6al7EBz2DH4+WP386+xXb1XL2sDLv1sgFp/PkUhYeDmhiP/PG55dVv4RzSseg0+FxcX84c//IGwsDBuuukmbrrpJsLDw5k2bRolJSUNHaMQTUbbWlFN1dSjJ2jaFdtWrl7WOcC/CSJrWSo/m7p8PsrNDVOPXgCYTxxrxOjE1dQrMSQkJLBlyxa+/PJL8vPzyc/P5/PPP2fLli08/fTTDR2jEE1CKYW2/ScATN176RxN22TuU9GF5HHyF6mdpKN6JYZPP/2U5cuXc9ttt+Hr64uvry+333477777Lv/6178aOkYhmoRl/7/Rss+h3Nxw79JV73DaJFOPXuDujrGoCA4e0DucNqteiaGkpISQkKoDQR06dJCuJNFiFX2zHgBraEc0mQ6pC83d3dmdZNiUqHM0bVe9EkN0dDTz5s2jrKzMua20tJQXX3zRWTtJiJam6NuvAbB0kqnXejL3rZiqqm1KRMlsL13U68+it956i3HjxlV5wM3Dw4NvvvmmQQMUoknkn6d09w6g4vkFoR9T95443NwxnMuidOd28PTWO6Q2p16JITIykiNHjvDxxx9z8OBBACZNmsT9999Pu3btGjRAIZqCtiMZlEL17I3DS34R6Ulzc8PauSsex49SuPZf8PuH9A6pzalzV1J5eTk9evTg5MmTTJ8+nYULF7Jw4UIefvjheiWFJUuWEBERgYeHB1FRUezYseOK7VevXk3fvn3x8PAgMjKS9evXu+xfs2YNY8eOJSgoCE3T2Lt3b5Vj3HzzzWia5vJ69NFH6xy7aD203dsBUKOkK7Q5KLu4RsOFLz4F6U5qcnVODO7u7i5jC9di1apVJCQkMG/ePFJSUhg8eDCxsbGcO3eu2vZbt25l0qRJTJs2jT179hAXF0dcXBz79+93tikuLubGG2/ktddeu+K5p0+fTkZGhvP1+uuvN8g1iRZIKbTdOyu+HDZK52AEVKzspry9sWWchdS9eofT5tRr8Pnxxx/ntddew2azXdPJFy1axPTp05k6dSr9+/dn6dKleHp68t5771Xb/u2332bcuHHMmjWLfv368fLLLzNs2DAWL17sbPPggw8yd+5cYmJirnhuT09PQkNDnS9fX99ruhbRchkLC9Cys9DMZtSgIXqHIwCMRtSNNwNg2PSdvrG0QfVKDDt37mTNmjV06dKF2NhY7r77bpdXbVitVnbv3u3yC9xgMBATE0NycnK170lOTq7yCz82NrbG9lfy8ccfExwczMCBA5k9e/ZVp9laLBYKCwtdXqJ1MF1cUrLdqGgwS9m85kLdXPFvXfs+SbqTmliDVVetq5ycHOx2e5XnIUJCQpwD2pfLzMystn1mZmadzv373/+erl27Eh4ezr59+3j22Wc5dOjQFUuEL1iwgBdffLFO5xEtg/vFJSW9Rt+KpPvmQ424DoOvH47cHNyzs6QWVROqU2JwOBy88cYbHD58GKvVyq233sr8+fNb3EykRx55xPl1ZGQkYWFhjBkzhmPHjtGjR49q3zN79mwSEhKc3xcWFkqp8VZAORyYMivuGLxuulXnaIQLd3d8xt9Bwf/9L+YTv8DgIXpH1GbUqSvplVde4fnnn8fb25uOHTvy17/+lccff7xeJw4ODsZoNJKVleWyPSsri9DQ0GrfExoaWqf2tRUVFQXA0aNHa2xjNpud5T8qX6Lls2VlYrBaUd7eeAwZpnc44jK+cb8DwJx+XB52a0J1SgwfffQRf/vb3/jmm29Yu3YtX375JR9//DGOevzATCYTw4cPJykpybnN4XCQlJRU49PT0dHRLu0BEhMTr/lp68oprWFhcqva1pSfPA6AGjJcymA0Q16jx6C8fTCWlmI7fUrvcNqMOv1LSE9P5/bbb3d+HxMTg6ZpnD17lk6dOtX55AkJCUyZMoURI0YwatQo3nrrLYqLi5k6dSoAkydPpmPHjixYsACAJ598ktGjR7Nw4ULGjx/PypUr2bVrF8uWLXMeMy8vj/T0dM6eregeqFwvonL20bFjx1ixYgW33347QUFB7Nu3j5kzZ3LTTTcxaNCgOl+DaNmciWF4lM6RiOpoJhPqxpvRNnyJ5VAaRA7VO6Q2oU6JwWaz4eHhOmvD3d2d8vLyep383nvvJTs7m7lz55KZmcmQIUPYsGGDc4A5PT0dg+HXm5rrr7+eFStWMGfOHJ5//nl69erF2rVrGThwoLPNF1984UwsAPfddx8A8+bNY/78+ZhMJr777jtnEurcuTMTJkxgzpw59boG0XKp8nLKL/4VKs8vNI36rHynbvkNbPgSy+E0GDC4sUMU1DExKKV46KGHMJvNzm1lZWU8+uijeHl5ObddaXbP5eLj44mPj6923+bNm6tsmzhxIhMnTqzxeA899BAPPfRQjfs7d+7Mli1bah2faL3Kz54Gux17O0/oGqF3OG1CfVa+U8NH4TCZMRQX434u64ptRcOoU2KYMmVKlW0PPPBAgwUjRGOx2WykpaUBv/6lWn6iohvJGhaO+1VWaxMNp3J1t19yarl8p7s7ls5daXfsMOaTvzRucAKoY2J4//33GysOIRpVWloaO197hR7BQc6/VDuePAFAeVhH3PUNT1yFJaL7xcRwHGW36x1Oq1evJ5+FaIl6BAc51yA2WK3YLj6/YA3rqHNk4mqsYR3RPDwwlpWi7dujdzitniQG0SZ55mYDYAwMwuHpdZXWQncGA6ZefYCKBXxE45LEINokr5yKCr7uXbvpHImoLefKbt9vlO6kRiaJQbRJnpWJIUISQ0vh3iUCh8mMdj6Pkq0/6B1OqyaJQbQ5ptISzMVFoGm4d+6qdziiljSjEUuXCAAKP/9U32BaOUkMos3xvTi+4BYahsFDymy3JJbKld2+/IzysjJSU1NdXte6RoyoIMVhRJvj5xxfiNA3EFFn1tBwlK8f9uxzHFr1MTsTE+kRHATAsZxcePa/iYyM1DnKlk8Sg2hTlFL4XbxjkIHnFshgQP3HLWhfrUXb9J1zCrJoWNKVJNoUe24OJksZDoMB946ynkZLpG6pXNlto6zs1kjkjkG0KeUXn3YuDQy+apnt+hR8E41PDR2BMTAIe14u7pkZzlpLl/68APr164eblFKvF7ljEG1KZZnt4uAOV22bnneeUx/8g7zlSznw3rucz89v5OhErbi54/PbuwDwuKR20qU/r52vveKsjSXqThKDaDscDsrTTwJQUovEAL8WfOsc4N+IgYm68r2rosLy5bWTKn9elQPSon4kMYg2wy03G2W1YHNzp8zPX+9wxDXwvP4/UAGBGKwWZ/egaDiSGESbYco4A0BBUHuQMtstmubmhho9BgDLwQM6R9P6SGIQbYYpo6KaamFwe50jEQ3BcetYAKxHDqHkwbYGJYlBtA1lpbhnV6z+VRBUu/EF0cxFDsHezhNlsWA9IQv4NCRJDKJN0FL3ojkcGHx8KPPy1jsc0RAMBmeJDOvBn3UOpnWRxCDaBG3XDuDi084yvtBqlFUmhiOH0aQUd4ORxCDaBC3lksQgWg1bcAcMvr6ociv+2Zl6h9NqSGIQrZ4tLxeOHALAJIXzWhdNw9ynYgGfoIuzzsS1k8QgWr2SHzajKYXNzx+Dt4/e4YgGZrq4slvAuQw0mZ3UICQxiFaveMtGoGJBedH6uIWGYfD3x2i3431OupMagiQG0eoVf78JkMTQWmmXdCf5nj2lczStgyQG0apZ009Q/stRlNFIeUhYtW0qq3KmpqZy+PBhlFRRbXHMF7uTvM5l4rBYdI6m5ZOatKJVK96UVPFFv4Eok6naNul55yn44B8E9+jOgSPHiAwKcJZyFi2DsUMIpV7etCsuwnr0MMhDjNdEEoNoNWw2W5VSy/6bEgFwjLwO7DXfCVRW5fwlJ7dRYxS1U9e1MDRNIzesE52OHsSSth9uvLUpwmy1JDGIViMtLY2dr73y6xrA2Tlc92MSGqBGRMH2ZH0DFLVW013clRJGTnhnOh09SPnxXzAMu06v0FsFSQyiVbl0DWC3nGy0C4UYfHyh7wBJDC1MdXdxV+r2K/P2oSQgEM/zeZiPH9Ur7FZBBp9Fq2XKOA2A5003gyzx2GpcafGkwk5dAWh37Ago1cSRtR6SGESrZTpb8SSs180xOkcimkphWCcwGnHLz4Ojh6/+BlEtSQyiVVJWq7PMtvctkhjaCofJhKlnbwAM36zTOZqWS/fEsGTJEiIiIvDw8CAqKoodO3Zcsf3q1avp27cvHh4eREZGsn79epf9a9asYezYsQQFBaFpGnv37q1yjLKyMh5//HGCgoLw9vZmwoQJZGVlNeRlCZ2Vn0pHczhQoeG4d+uhdziiCXkMGASA9t0GVHm5ztG0TLomhlWrVpGQkMC8efNISUlh8ODBxMbGcu7cuWrbb926lUmTJjFt2jT27NlDXFwccXFx7N+/39mmuLiYG2+8kddee63G886cOZMvv/yS1atXs2XLFs6ePcvdd9/d4Ncn9FO5cIsaEYUmZbbbFPdu3XF4eKCdz6Mo8Wu9w2mRdE0MixYtYvr06UydOpX+/fuzdOlSPD09ee+996pt//bbbzNu3DhmzZpFv379ePnllxk2bBiLFy92tnnwwQeZO3cuMTHVdx8UFBSwfPlyFi1axK233srw4cN5//332bp1K9u2bWuU6xRNr7wyMYyUaYttjWY0Utq9ojvp/Pvv6hxNy6RbYrBarezevdvlF7jBYCAmJobk5OqnFSYnJ1f5hR8bG1tj++rs3r2b8vJyl+P07duXLl261Ok4ovmy55/HnpuD0rSK5xdEm1PWpx8AxUnfYD1+TOdoWh7d5vDl5ORgt9sJCQlx2R4SEsLBgwerfU9mZma17TMza19RMTMzE5PJhL+/f52OY7FYsFxSg6WwsLDW5xRNy/pLxS+C8g6hUma7jbL7+OIYdT2GHVvJXf4/5Nz7oHNfv379cJPpy1ckn04tLViwgBdffFHvMEQtWH85UvHfjp3x0DkWoR8VNxF2bOX8P99n97HjdAvpwLGcXHj2v4mMjNQ7vGZNt66k4OBgjEZjldlAWVlZhIaGVvue0NDQOrWv6RhWq5X8/Pw6HWf27NkUFBQ4X6dOSXnfZslmozz9JACWTp11DkboSV13A26duqAVFtCvKJ/+oSHOciniynRLDCaTieHDh5OUlOTc5nA4SEpKIjo6utr3REdHu7QHSExMrLF9dYYPH467u7vLcQ4dOkR6evoVj2M2m/H19XV5iebHlHkWbDYMvr7Y/QL0DkfoyWgkYOp0ANod+lnnYFoWXbuSEhISmDJlCiNGjGDUqFG89dZbFBcXM3XqVAAmT55Mx44dWbBgAQBPPvkko0ePZuHChYwfP56VK1eya9culi1b5jxmXl4e6enpnD17Fqj4pQ8VdwqhoaH4+fkxbdo0EhISCAwMxNfXlxkzZhAdHc1118kMlpbOdKbiTs7UvRfINNU2z/+BqZx79SXcc7IpP50Obma9Q2oRdE0M9957L9nZ2cydO5fMzEyGDBnChg0bnAPM6enpGAy/3tRcf/31rFixgjlz5vD888/Tq1cv1q5dy8CBA51tvvjiC2diAbjvvvsAmDdvHvPnzwfgL3/5CwaDgQkTJmCxWIiNjeVvf/tbE1yxaFRKYT6TDoCpe0+dgxHNgVv7DqjY/0Rb9xkl236qUo778lLtMjBdQfdPID4+nvj4+Gr3bd68ucq2iRMnMnHixBqP99BDD/HQQw9d8ZweHh4sWbKEJUuW1CVU0dydPI6xqAiMRty7dIW883pHJJoBx++noH21lvJfjuHWb5DLvktLtcvA9K90L4khREPRkn8EwL1LBFoNq7WJNqhjZywRFWVRPPfvrbK7slS7DEz/ShKDaDUMP24GwNSjl76BiGanOHIwAOaTx+HEcZ2jaf4kMYhWwZaVCQf2AWDq1VvnaERzY/cPxNSrDxpg+Ph9vcNp9iQxiFbhwtfr0JSiPLg9Rh+ZSiyq8oy+EQAtcT1lP6desa3NZiM1NdX5stlsTRFisyGJQbQKF776HABL5wjntsr1gVNTUzl8+DDqKgvKi9bNLTSMsq7d0JTi3Itzrti2clA6b/lSdr72isvMpbZA91lJQtTV5VMMe3cMp/j7jQBYukQ4t19pfWDRNhUPHYn5dDrFiV9T/P0mCAiuse2l64e3NZIYRItz+RRDbcQIjOXlqC5dsfv5u7StbkF50XbZff1Qd/wO7bNVnJs/G/7yP3qH1CxJV5JokS6dYqj9sAkA9R+36ByVaAkcUx7G4O1D2d4UtI3f6h1OsySJQbRsdhvatp8AcEhiELUREEjQk88AYHh3Mdjb1sBybUhiEC2aKeMMWmkJbmHh0Ke/3uGIFiLwsSdxC+uIlpmBZ9oBvcNpdiQxiBbN4+ISnj6/vRsM8r+zqB2DpyftX3gJAM/UPThKinWOqHmRf0mixVI2G6ZTFWsv+Mb9TudoREvjd8/9qN59MZSXU/LT93qH06xIYhAtlvX4MQzl5aj2IbQbJSXTRd1oBgOOP80EoGxvCsZ8KbpYSRKDaLEsF/uG1S0xaNKNJOpBDR2BpVNXUArvlB16h9NsyL8m0TLZbFiPVazt7Lh1rM7BiJasaPgoMBgwn05H2y3JASQxiBbKfCYdysuxe3tD3wF6hyNaMLufPx5DhgNgWLYYpZTOEelPEoNoES4tanb48GHMx48BUNa1uyzhKa6ZZ/SNKDc3tIMHKE6Sh96kJIZoES4tg3Ho4CH6nq5Y29kS0QNZxVdcrrKAIsDhw4cJukoBRYOXF6W9++H5cyo5r/8Z3mzbqztKYhAtRmUZjMK9KRgcdowBgdgCZdUtUVV9CiiWDBhEu6OHKd21HW3X9iaKtHmSriTR4gSfqbhbMA+IlG4kUaPKAoqdA/xr1d7RzhN1x90AGD5cBm14rEHuGESLYr9wAb/ccwCY+w+EMqvOEYmW5NIuJqjazeSYNAXjl2sg9d+4h3aEsFA9wtSdJAbRoljSDqABJYFBBPsHQGaW3iGJFuTSLiagajdTcHv8H5jK+eVL8UzbD0OH6RitfqQrSbQolotLMhZ27KJzJKKlquxiqqmbKeCP8QCYTqdjP5/XxNE1D5IYRIthPJ+H/VwWDk2jMKyT3uGIVsrcszeOqBvQgNI9u/UORxeSGESL4fHLUQDyO4TiMJl0jka0ZmrCfQBY9u1FKy/XOZqmJ2MMomWw2fD4paIERvYl3Uh1na8uRG2okddh8/HF7UIhHhdLr7QlkhhEi6Bt34qxtATN05P8DmH4Xdxen/nqQlyVwUBp3wH47Eym3aEDbW7qqnQliRZB+2otAB4DBqEuq6Ra1/nqQtRGWY/eaCYTbgX5ba64niQG0eyVZ5xF2/YjAOZBQ/QNRrQZymSqeIgS0L74VOdompYkBtHsFaz8XzS7HWv7ENyCgvUOR7QhlVVXtR83U55xVudomo4kBtGsKYeD/H9+AEBZr776BiPaHLf2HbC2D0Gz28n/5/t6h9NkJDGIZq3kp+8pP34M5elFWddueocj2qDSPv0ByP9wOcpm0zmapiGJQTRr59/7HwBUzDhwd9c5GtEWFXfugs3bG9vZ0xz4x1JSU1OxtfIEIYlBNFvlp09xYd1aABxxE/UNRrRZ6QUXOOUbCIBt8SJ2vvYKaWlpOkfVuJpFYliyZAkRERF4eHgQFRXFjh1Xnhq2evVq+vbti4eHB5GRkaxfv95lv1KKuXPnEhYWRrt27YiJieHIEdeHVCIiItA0zeX16quvNvi1idq7dJW21NRUcv/xd7Db8fyPm6FHL73DE22Yo08/AMxnT9Pb1Pof/9I9MaxatYqEhATmzZtHSkoKgwcPJjY2lnPnzlXbfuvWrUyaNIlp06axZ88e4uLiiIuLY//+/c42r7/+On/9619ZunQp27dvx8vLi9jYWMrKylyO9dJLL5GRkeF8zZgxo1GvVVxZ5SptecuXsvv/vUjeB+8CEHixqJkQein38sa9e08A2qXtv0rrlk/3xLBo0SKmT5/O1KlT6d+/P0uXLsXT05P33nuv2vZvv/0248aNY9asWfTr14+XX36ZYcOGsXjxYqDibuGtt95izpw53HnnnQwaNIiPPvqIs2fPsnbtWpdj+fj4EBoa6nx5eXk19uWKq6hcpa1f4Xm0wgLcu0TgHTte77CEoN2IUQB4HDsMFy7oHE3j0jUxWK1Wdu/eTUxMjHObwWAgJiaG5OTkat+TnJzs0h4gNjbW2f748eNkZma6tPHz8yMqKqrKMV999VWCgoIYOnQob7zxRqsfUGoplFIVtfCBgIcfQzMadY5ICHDv2g1jcHsMNhva2tV6h9OodO0sy8nJwW63ExIS4rI9JCSEgwcPVvuezMzMattnZmY691duq6kNwBNPPMGwYcMIDAxk69atzJ49m4yMDBYtWlTteS0WCxaLxfl9YWFhLa9S1FX5yeO45Z9HeXjg/+BUvcMRbcTVCjJqmka7qOsp+upzDJ/8E/sLL2H08dEj1EbX+kdRapCQkOD8etCgQZhMJv74xz+yYMECzGZzlfYLFizgxRdfbMoQ26zSbT8BoG67E6Ofv77BiDajNgUZzf0GkP/DZtwKCzj/j78RPPNZfYJtZLp2JQUHB2M0GsnKcl2eMSsri9DQ6tdaDQ0NvWL7yv/W5ZgAUVFR2Gw2Tpw4Ue3+2bNnU1BQ4HydOnXqitcm6sctO4vy9JMoTcMx6UG9wxFtzNUKMmoGA8WDhgKQ+5fXsWVlVtuupdM1MZhMJoYPH05SUpJzm8PhICkpiejo6GrfEx0d7dIeIDEx0dm+W7duhIaGurQpLCxk+/btNR4TYO/evRgMBjp06FDtfrPZjK+vr8tLNDyv1L0AlPXoBSFSPls0P5ZuPVF9B+AoukDmi8+7TLGuHKe8fOp1S3soTveupISEBKZMmcKIESMYNWoUb731FsXFxUydWtG3PHnyZDp27MiCBQsAePLJJxk9ejQLFy5k/PjxrFy5kl27drFs2TKgoh/wqaee4s9//jO9evWiW7duvPDCC4SHhxMXFwdUDGBv376dW265BR8fH5KTk5k5cyYPPPAAAQEBunwOAjh6GPPpdNA0SgYOdq65IESzomnYn5yF22MPcWHlPzly9BeC+g/gWE4uPPvfREZGOqde9wgOAnDZ1xLonhjuvfdesrOzmTt3LpmZmQwZMoQNGzY4B4/T09MxXFJ///rrr2fFihXMmTOH559/nl69erF27VoGDhzobPNf//VfFBcX88gjj5Cfn8+NN97Ihg0b8PDwACr++l+5ciXz58/HYrHQrVs3Zs6c6TLuIJqe4eMPADD16Yfd11/XWIS4ov6RBDzyOOeXLaHP/hSCR42s0qRy6nVLpHtiAIiPjyc+vvqHmDZv3lxl28SJE5k4seYSCZqm8dJLL/HSSy9Vu3/YsGFs27atXrGKxmE5+DPa5kQAPK+7AWSFTtHMdZi/gLykbzEcO0LBv1ai3TpO75AajO4PuAkBkP3/5qM5HJR1icCtQ8v8K0u0LQYPD+wvv4HDox32c1n4bdwARa3jwbdmcccg2rbSPbu5sG4tStMoHjICcJ1TDtXPKxdCdx07kz9mHEHfrcd0Lgv15B+xrftO76iumSQGobvsV+YBoMbejt2/YvD/0jnlQI3zyoXQmy0oGL/7HiRv1ccYjh7i5Phb4JW/6B3WNZGuJKGr4p++p3jjt+DmhuOhR1z2Vc4pv9K8ciGaA7eQUM6P+y0qNAzrsaMYZ0zDmH9e77DqTRKDaHLOOd779nHy2ZkA+E+eBuGddI5MiPqz+/phX/wepj790LLPEbDhS8ozzugdVr1IYhBNrnKOd/ELs9B+TkW1a0fw07P1DkuIa9e+A12/2ojqNwCD1ULByn9Sfva03lHVmSQGoYse/n4E7N0NgOP+qbiHhesckRANwy0wCPuipVhDw6G8nMI1n2C80LKKbkpiELrw/HkfjguF2L28Uffcr3c4QjQsT08KbhmLMSQUVVKCX9IGKMjXO6pak8Qgml72Obz2/xuAomGjwOyhc0BCXLvKKdapqakcPnwYh9GI34R7Mfj64lZYgDXhT6Tu3t0i6ibJdFXR5Ax/+wuazYZbx04Ud4ngzBVq4AvRUlRXttsQHobv7yaR89F7eB49ROmjk9nbeyA8N6dZ102SxCCaVFHi1xg2fovSNLzHxJKec/Ua+EK0FJVTrH/JyXVucwtuz5Gho+i7ayvtjh0h0q/5F+qUriTRZBzFxWQ+8wQApf0G4hZakQCuVgNfiJauoH0IWf0HAeCVsgPtp+91jujKJDGIJpP96kuUnzqJCg2jaPBwvcMRoknlR/TAY8gwNMDw8n9T9nOq3iHVSBKDaBKlu3eS9/e3AXDMfA7c3XWOSIj6uXyQWdV2XEzT8BoTizU0HK20hNOT7qY842zjBltPMsYgGp39wgXOTH8QHA58J9xL3nU3woH9eoclRL3UZm3ommhGIwWjxxD80xbKT50kfcLtlLz+Dlyytnm/fv1wc9P3V7MkBtEobDYbaWlpABhemYvhxC+4d+5K6JvvkJcu62WLlq26QebaUmYP7G8uxmPmY1gP/kzZgxMove1OlMnUbFZ6k64k0SicZS/++xkM336FMhgI/58PMV7yl5EQbVZYR7qsWY/y88e7IJ+wHzfSLzDAuRSo3iQxiEbT26jhv/0nABxTpuN53fU6RyRE82Hu0w/7m4txuLtjO32Kgn/9H1q5Ve+wAEkMorHk5uC/8RtUuRVLSBiHov6joqJqXQfshGjNevcj/ze3o5nN2E6fwv+7r5vFKnAyxiAanKO0FOOcp9GKizAEBLIvcjh5//u+LLojRDVswR3wu/cBCj75GPfsc6hnHse+fpOu3a6SGESDsdlspKXuw/Di8xh+3o/DZCJgwn3Yz2bS1cNM/9CKtZzrM2AnRGtx6bK1lWVg3MLD8Lv3AfJW/i+GtAOk3zWO8FVfcDgzy/m+ppytJIlBNJi01FTy759AcOYZ7JrGmWHX0SEwEM5m6h2aEM1GTdNd3UJCOT92PIHfb6RsbwrHxo9hT0RPuoaHN/lsJRljEA1C2WwY/jyH4MwzYDBwZPh1lAS31zssIZqlmsrA2AOCsL/1Pxjbd0A7eoghu5Pp6+tN18AA50N1TVGdVRKDuGaO4mJOT56IYVMiymDAJ+535HeQ8QMh6qV7T7p+kYgKDML9fB4Fn6zg9LlsTn3wD/KWL2Xna684nxFqLNKVJOrk0gfXAMjLxeul2Vj27EaZzBTcMJr2PXvD/p/1C1KIFs7cpx/2t5dhmP4AnMui596dnBsZ7Ryna2ySGESdVD641iM4CLe8XDyTNmApLcEYGITl5Tewbk/WO0QhWiyXgekyK6GjxxD43dcEnstApaXCgP5NEod0JYk66xEUSLfM0wR+/TkepSWojp2I+OZ7GDhY79CEaNHS8847u4wOvPcu59zN+Nx+BwBBvxyhbN+eJolDEoOols1mcw50uQx2nc/D94eNFH/7NdjtWDp2xv73DzH16KVvwEK0EpcPTJv7DeBUr34AFCVuwC03u9FjkK4kUa1Lu4yO5eTCrNl02rMT49xncSu6AJqG5023cLZTBPlZ5+DiE82yNKcQDe9Mz774F+bjk5WB35bvUI8+0ajnk8QgatQjOIh+IR0wnTqJ8ZEHyDxyCA0oDwgi+D/vxD0snPT9P8vSnEI0Nk0jY/AI/Hb8APn5OF55AbUuCc3QOJ0+0pUkqmexYP7lKPkfLcd/07doRw5h8PbGHv8058fH4R4W7mwqS3MK0fgcJhO+d/4OZTRi2PYTue8sbLRzSWIQLqzHjpA19zmME2/D78dN2LMycbi54bj/IXrsOYya+HtopL9ShBBX5hYSyoWoG1A9euH727sa7zyNdmTRLF3+HEK/fv3gfB6FX6yh8NNVlG6rKJOtAXZPL3yGjeBkeBcCHpmBW1AwnM3QKXIhBEBZzz54vvQ6pu49G+0ckhjamMpB5Z6+3hQc2I/B7I4hZSdcHDRWmoaKup7TI6Ix5+US0qkj5WczqhT9EkLoqJHXTG8WfQJLliwhIiICDw8PoqKi2LFjxxXbr169mr59++Lh4UFkZCTr16932a+UYu7cuYSFhdGuXTtiYmI4cuSIS5u8vDzuv/9+fH198ff3Z9q0aRQVFTX4tTUn5adPoX32CcP3bKf9J/+kZ2oKhl3bweFA9elP5sQH2D16LDm9+7N9dwrnCwuBqnOrz+fn63shQohGpXtiWLVqFQkJCcybN4+UlBQGDx5MbGws586dq7b91q1bmTRpEtOmTWPPnj3ExcURFxfH/v2/Li7/+uuv89e//pWlS5eyfft2vLy8iI2NpayszNnm/vvv58CBAyQmJrJu3Tq+//57HnnkkUa/3qZky8vlwoZ1ZL3wLL/cPIqjg3pgfOs1TBlnwOGgxNuXI126kxt3D9lRN/DD6bN4e3tXO5AsA8xCtB26dyUtWrSI6dOnM3XqVACWLl3KV199xXvvvcdzzz1Xpf3bb7/NuHHjmDVrFgAvv/wyiYmJLF68mKVLl6KU4q233mLOnDnceeedAHz00UeEhISwdu1a7rvvPtLS0tiwYQM7d+5kxIgRALzzzjvcfvvtvPnmm4SHh1c5b3Nlv3AB2+l0yk6d5NTOnWjpJ+D4UbTjx9Byc1wbaxpq4CCK3c10HjacbWez8Ddo9OndG5B1EoQQFXRNDFarld27dzN79mznNoPBQExMDMnJ1dfcSU5OJiEhwWVbbGwsa9euBeD48eNkZmYSExPj3O/n50dUVBTJycncd999JCcn4+/v70wKADExMRgMBrZv385ddzXOaH/J1h8o278PZbOBzYbdVs65jAw0ux3sdoL8/dEcjor9dhvKZvv1a7sdZbViz8+nOOMMFBRAYQFaSbHz+MZqzmnz9SPH1x/buN8S+p93cjg7h6At32EMDIKzWdW8QwjR1umaGHJycrDb7YSEuFYMDAkJ4eDBg9W+JzMzs9r2mZmZzv2V267UpkOHDi773dzcCAwMdLa5nMViwWKxOL8vKCgAoPBiP3xtZH2ygvwP/1Hj/pJaH8mV8vLB4udPmcWKKSgIu58/u4tKUF7eDOzZkx+PHSf/+x/odewY+06fpU+APyXlNo6cy8HXoGH2OgXg8n1tvm4N72lu8TTn9zS3eFrbe2rb7nheHsOKiur0u+dSPj4+aJp2xTa6dyW1FAsWLODFF1+ssr1z5846RHOZ/PNw5nzF18fOuO77bnOThyOEaGSfrKn3WwsKCvD19b1iG10TQ3BwMEajkaws1y6NrKwsQkNDq31PaGjoFdtX/jcrK4uwsDCXNkOGDHG2uXxw22azkZeXV+N5Z8+e7dKF5XA4yMvLIygo6KrZt7kqLCykc+fOnDp16qr/o7Q2cu1y7W3t2iv5+PhctY2uicFkMjF8+HCSkpKIi4sDKn7hJiUlER8fX+17oqOjSUpK4qmnnnJuS0xMJDo6GoBu3boRGhpKUlKSMxEUFhayfft2HnvsMecx8vPz2b17N8OHDwdg48aNOBwOoqKiqj2v2WzGbDa7bPP396/nlTcvvr6+bfYfiVy7XLuohtLZypUrldlsVh988IH6+eef1SOPPKL8/f1VZmamUkqpBx98UD333HPO9j/99JNyc3NTb775pkpLS1Pz5s1T7u7uKjU11dnm1VdfVf7+/urzzz9X+/btU3feeafq1q2bKi0tdbYZN26cGjp0qNq+fbv68ccfVa9evdSkSZOa7sKbgYKCAgWogoICvUNpcnLtcu2iZronBqWUeuedd1SXLl2UyWRSo0aNUtu2bXPuGz16tJoyZYpL+08++UT17t1bmUwmNWDAAPXVV1+57Hc4HOqFF15QISEhymw2qzFjxqhDhw65tMnNzVWTJk1S3t7eytfXV02dOlVduHCh0a6xOWrL/0jk2uXaRc00pZTS735F6MlisbBgwQJmz55dpZustZNrl2tva9deF5IYhBBCuNC9JIYQQojmRRKDEEIIF5IYhBBCuJDE0Mp8//33/Pa3vyU8PBxN05w1pCqpVlyS/GrX/tBDD6Fpmstr3LhxLm1a6rUvWLCAkSNH4uPjQ4cOHYiLi+PQoUMubcrKynj88ccJCgrC29ubCRMmVHlYND09nfHjx+Pp6UmHDh2YNWsWNputKS+lzmpz7TfffHOVn/2jjz7q0qYlXntjkcTQyhQXFzN48GCWLFlS7f7WXJL8atcOMG7cODIyMpyv//u//3PZ31KvfcuWLTz++ONs27aNxMREysvLGTt2LMXFvxZZnDlzJl9++SWrV69my5YtnD17lrvvvtu53263M378eKxWK1u3buXDDz/kgw8+YO7cuXpcUq3V5toBpk+f7vKzf/311537Wuq1NxpdJ8uKRgWozz77zPm9w+FQoaGh6o033nBuy8/PV2azWf3f//2fUkqpn3/+WQFq586dzjZff/210jRNnTlzpsliv1aXX7tSSk2ZMkXdeeedNb6ntVy7UkqdO3dOAWrLli1KqYqfs7u7u1q9erWzTVpamgJUcnKyUkqp9evXK4PB4Hy4VCml/v73vytfX19lsVia9gKuweXXrlTF81BPPvlkje9pLdfeUOSOoQ25Wkly4KolyVu6zZs306FDB/r06cNjjz1Gbu6va1C0pmuvrP4bGBgIwO7duykvL3f52fft25cuXbq4/OwjIyNdKhPHxsZSWFjIgQMHmjD6a3P5tVf6+OOPCQ4OZuDAgcyePZuSkl/rGbeWa28oUl21DWmskuQtxbhx47j77rvp1q0bx44d4/nnn+e2224jOTkZo9HYaq7d4XDw1FNPccMNNzBw4ECg4udqMpmq1Pe6/Gdf3f8blftaguquHeD3v/89Xbt2JTw8nH379vHss89y6NAh1qypqFLaGq69IUliEG3Gfffd5/w6MjKSQYMG0aNHDzZv3syYMWN0jKxhPf744+zfv58ff/xR71CaXE3Xfuk4UWRkJGFhYYwZM4Zjx47Ro0ePpg6z2ZOupDbk0pLkl7q8bHldS5K3VN27dyc4OJijR48CrePa4+PjWbduHZs2baJTp07O7aGhoVitVvLz813aX/6zr+7/jcp9zV1N116dyirKl/7sW/K1NzRJDG3IpSXJK1WWJK8sW35pSfJKVytJ3lKdPn2a3Nxc57odLfnalVLEx8fz2WefsXHjRrp16+ayf/jw4bi7u7v87A8dOkR6errLzz41NdUlOSYmJuLr60v//v2b5kLq4WrXXp29e/cCuPzsW+K1Nxq9R79Fw7pw4YLas2eP2rNnjwLUokWL1J49e9TJkyeVUq27JPmVrv3ChQvqmWeeUcnJyer48ePqu+++U8OGDVO9evVSZWVlzmO01Gt/7LHHlJ+fn9q8ebPKyMhwvkpKSpxtHn30UdWlSxe1ceNGtWvXLhUdHa2io6Od+202mxo4cKAaO3as2rt3r9qwYYNq3769mj17th6XVGtXu/ajR4+ql156Se3atUsdP35cff7556p79+7qpptuch6jpV57Y5HE0Mps2rRJAVVelaXLW3NJ8itde0lJiRo7dqxq3769cnd3V127dlXTp093mZ6oVMu99uquG1Dvv/++s01paan605/+pAICApSnp6e66667VEZGhstxTpw4oW677TbVrl07FRwcrJ5++mlVXl7exFdTN1e79vT0dHXTTTepwMBAZTabVc+ePdWsWbOqlN5uidfeWKS6qhBCCBcyxiCEEMKFJAYhhBAuJDEIIYRwIYlBCCGEC0kMQgghXEhiEEII4UISgxBCCBeSGIQQQriQxCDEVVS3TGhd3XzzzTz11FMNEk9T27x5M5qmVSnAJ1ovSQyizcvMzGTGjBl0794ds9lM586d+e1vf+tScK45kV/UorHJegyiTTtx4gQ33HAD/v7+vPHGG0RGRlJeXs4333zD448/zsGDB/UOsdEopbDb7bi5ya8B4UruGESb9qc//QlN09ixYwcTJkygd+/eDBgwgISEBLZt2+Zsl5OTw1133YWnpye9evXiiy++cDnOli1bGDVqFGazmbCwMJ577jlsNluN57VYLDzzzDN07NgRLy8voqKi2Lx5s3P/yZMn+e1vf0tAQABeXl4MGDCA9evXc+LECW655RYAAgIC0DSNhx56CKhYvWzBggV069aNdu3aMXjwYP71r385j1l5p/H1118zfPhwzGYzP/74IxaLhSeeeIIOHTrg4eHBjTfeyM6dOxvg0xUtls5F/ITQTW5urtI0Tf2///f/rtgOUJ06dVIrVqxQR44cUU888YTy9vZWubm5SimlTp8+rTw9PdWf/vQnlZaWpj777DMVHBys5s2b5zzG5YvRP/zww+r6669X33//vTp69Kh64403lNlsVocPH1ZKKTV+/Hj1m9/8Ru3bt08dO3ZMffnll2rLli3KZrOpTz/9VAHq0KFDKiMjQ+Xn5yullPrzn/+s+vbtqzZs2KCOHTum3n//fWU2m9XmzZuVUr9Wnx00aJD69ttv1dGjR1Vubq564oknVHh4uFq/fr06cOCAmjJligoICHBeX+X7zp8/30CfvGjuJDGINmv79u0KUGvWrLliO0DNmTPH+X1RUZEC1Ndff62UUur5559Xffr0UQ6Hw9lmyZIlytvbW9ntdqWUa2I4efKkMhqN6syZMy7nGTNmjLP+f2RkpJo/f3618VT3i7qsrEx5enqqrVu3urSdNm2acz2JyvetXbvW5Vrc3d3Vxx9/7NxmtVpVeHi4ev3112s8n2jdpHNRtFmqDhXnBw0a5Pzay8sLX19f52pfaWlpREdHo2mas80NN9xAUVERp0+fpkuXLi7HSk1NxW6307t3b5ftFouFoKAgAJ544gkee+wxvv32W2JiYpgwYYJLDJc7evQoJSUl/OY3v3HZbrVaGTp0qMu2ESNGOL8+duwY5eXl3HDDDc5t7u7ujBo1irS0tCt+JqL1ksQg2qxevXqhaVqtBpjd3d1dvtc0DYfDUa/zFhUVYTQa2b17N0aj0WWft7c3AA8//DCxsbF89dVXfPvttyxYsICFCxcyY8aMGo8J8NVXX9GxY0eXfWaz2eV7Ly+vesUt2g4ZfBZtVmBgILGxsSxZsoTi4uIq+2s7HbRfv34kJye73IH89NNP+Pj4VLso/dChQ7Hb7Zw7d46ePXu6vC5deL5z5848+uijrFmzhqeffpp3330XAJPJBIDdbne27d+/P2azmfT09CrH7Ny5c42x9+jRA5PJxE8//eTcVl5ezs6dO9vmWscCkMQg2rglS5Zgt9sZNWoUn376KUeOHCEtLY2//vWvREdH1+oYf/rTnzh16hQzZszg4MGDfP7558ybN4+EhAQMhqr/xHr37s3999/P5MmTWbNmDcePH2fHjh0sWLCAr776CoCnnnqKb775huPHj5OSksKmTZvo168fAF27dkXTNNatW0d2djZFRUX4+PjwzDPPMHPmTD788EOOHTtGSkoK77zzDh9++GGNsXt5efHYY48xa9YsNmzYwM8//8z06dMpKSlh2rRp9fhERaug9yCHEHo7e/asevzxx1XXrl2VyWRSHTt2VHfccYfatGmTUqpi8Pmzzz5zeY+fn5/LesqbN29WI0eOVCaTSYWGhqpnn33WZb3gy2clWa1WNXfuXBUREaHc3d1VWFiYuuuuu9S+ffuUUkrFx8erHj16KLPZrNq3b68efPBBlZOT43z/Sy+9pEJDQ5WmaS7reb/11luqT58+yt3dXbVv317FxsaqLVu2KKVqHkQuLS1VM2bMUMHBwcpsNqsbbrhB7dixw7lfBp/bHlnzWQghhAvpShJCCOFCEoMQQggXkhiEEEK4kMQghBDChSQGIYQQLiQxCCGEcCGJQQghhAtJDEIIIVxIYhBCCOFCEoMQQggXkhiEEEK4kMQghBDCxf8Hlgv/yUdX9Q0AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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oXWOfp4xm29X3Y23tlrvTdYKdrhOsL97VZvyGCG0BDQxWq5Vp06aRn5/vW2cYBvn5+WRkZLS7T0ZGhl95gLy8vA7LX3zclpYW3zGqq6spLCz0bd+xYweGYZCent7d0xGiR5UbDZQle+8Osi2jGFUf1uVj6JrG/3HEENZo4MLg+HAL5bar/3XfF91yReAE/FFSTk4O//Ef/8Frr73G4cOH+dGPfkRDQwPz588H4P7772fJkiW+8o8++ijbt2/nhRde4MiRI6xYsYL9+/ezaNEiABoaGnjiiSf44IMPOHHiBIWFhfzgBz/g9OnTzJ49G4Bx48Yxc+ZMFi5cyL59+3j//fdZtGgR9957LykpKX1/EYS4RI1qodBTDprG2NowZllGdvtYFqUzvNRFNFY8Zo2/XFPF+67TKCW9lUT7Aj7yec6cOVRUVLBs2TIcDgdTpkxh+/btvgbm0tJSdP2r+HXzzTezYcMGli5dyhNPPMGoUaPYsmULEydOBMBkMnHkyBFee+01KisriY+P58Ybb+Tdd99lwoQJvuOsX7+eRYsWcccdd6DrOnfffTe/+c1v+vbkhWhHi1Vjr7sMD4qIBoPby6PRhlzdIyCTATebh/Je9VHqI3VecX7Ch54yJlsAaR4Qlwh4YABYtGiR7xf/pXbt2tVm3ezZs32//i9lt9vZvHnzFV8zLi6ODRs2dKmeQvS2OrOHE0MtuPAQjZWUk3WYTD2T38Ki6QwrdRGdGM+HCQ0c8lTy6XCIrTJxjQyEExcJ+KMkIYRXrWphy9AqXFaNCCzcZB7S4ViF7tKA6ecjeSrsFiabBmNoUBVvZoe7lKpYXQbDCUACgxBBoVm5Wd1cSI3Vg8WpyDCnYOtkt9TuSNYj+LF9Gt86NQhbs7dhuizFQn5SLW4lOZYGOgkMQgSYWxn8ruUgJ4xa7G6N4aWdH6twtVKbbFz7pYvxejwoxZHoJl5p+QRDGqYHNAkMQgSQUopXWw5R7DmHFRP/fGYQNmfffilrwLWmWIaddKMr2Osp4y3XF31aBxFcJDAIEUA73aV84DmDCY0f2aaQ1GINWF2i6g1fGo2trqOU25wBq4sILAkMQgRIhdXFn5xHAJhtHcMk8+AA18ibRiPdNAQFvJ1Ug7Q2DEwSGIQIAAXsSKrBjWKKKZE7zMMDXSWfubZxRGHlvM1D9SD5ihiI5K8uRABUxZmosLsJw8x9tgloWvDMxRmpWfln67UAVCSYpZfSACSBQYg+5lIezg72ps3+jnU0MZotwDVq61ZzKlEuE26LxglD5h4ZaCQwCNHHvjRqMEwacS1mbjMH57weZk1nelUEAMeMGhn2NsAERUoMIQYKp/LwpVENwIyqSPS44HmEdKnRdWG8E19Dk9lNXaQOLVfex+VytUnBPWHCBCwWSy/VUvQGCQxC9KETRi1uFPZmg2vrg+8R0sUsSmNQtYfKBDNV8SboxHTorXM1tKbiPvPZMeYBU6ZM6dW6ip4lgUGIPqKA40YNAPHnPGgE791Cq0HnvYGhIUKn1uzu1D6tczWI0CVtDEL0kdponWY82DARXRsaPX2sLkjQvBMEHYnumalBRfCTwCBEH6ka5O2JNFyPRg+h1txUPQqAI9FNkkNpgJDAIEQfqLG4aYzwftyG6aE1X3iyFoHuUdRaPHxhnA90dUQfkDYGIbqgu71uDkc1ATBYC+uzzKk9xazpRNUZ1MSaKHSXMy7QFRK9LrTeoUIEWHd63RgX0llD6N0ttIqp9QaGAx4HY4kNdHVEL5PAIEQXdbXXzVGjmnqLge5RJJnDe7FmvSeiwcDi0ThvasFhd8k80f2ctDEI0cv2ucsAiK4zMGmh+ZHTFYxo8I67+CJSeif1d6H5LhUiRBgo9rsdAETXeAJcm6tzXb0dgKORzZIio5+TwCBELzod5qQOJ3aPRmRDaH+dDmu0YcNEvcWgyR78g/NE90lgEKIXfRnpTTA0st4eAuOcL8+sNCabvJMJ1UbLV0d/Jn9dIXqJAo5FeJ/HjwzyvEidNc2cDEBttAklg936LQkMQvSSZrtGvcXAholrmvpHYJhoGozZ0HBZNWqQOaH7KwkMQvSSuijvx2uCKQGzCvUHSV42zcTwBisAZUZ9gGsjeosEBiF6Se2FwHCDKTHANelZ117onVRmNMjjpH5KAoMQvaBRuWix62gKJpkHB7o6PSqt0YZmKBpwUS8j3folCQxC9AKH0QBASpOVSM0a4Nr0LKuhE9HgTRsuj5P6p6AIDGvXriUtLQ273U56ejr79u27bPlNmzYxduxY7HY7kyZNYtu2bb5tLpeLn//850yaNImIiAhSUlK4//77OXPGf/qptLQ0NE3zW5599tleOT8x8DiUNzCMbOgfjc6Xap1PouxCABT9S8ADwxtvvEFOTg7Lly/nwIEDTJ48maysLM6ePdtu+T179jB37lwWLFjAwYMHyc7OJjs7m0OHDgHQ2NjIgQMHePLJJzlw4ACbN2+mpKSEb37zm22O9fTTT1NWVuZbfvzjH/fquYqBwak8nFPebqoj+kk31UtF1RtoQC1OnDKdc78T8MCwcuVKFi5cyPz58xk/fjzr1q0jPDycl19+ud3yq1evZubMmSxevJhx48bxzDPPMHXqVNasWQNATEwMeXl53HPPPYwZM4abbrqJNWvWUFhYSGlpqd+xoqKiSE5O9i0RERG9fr6i/6tQjQDYmg2i3f0zT6XZA/EXZnarjTYFuDaipwU0MDidTgoLC8nMzPSt03WdzMxMCgoK2t2noKDArzxAVlZWh+UBampq0DSN2NhYv/XPPvss8fHx3HDDDTz33HO43R3PadvS0kJtba3fIkR7zhrewBBZHxrTd3bXEM37Q6qzo6BdLhdFRUV+i8sljdfBKKA/ZyorK/F4PCQlJfmtT0pK4siRI+3u43A42i3vcDjaLd/c3MzPf/5z5s6dS3T0V7nwf/KTnzB16lTi4uLYs2cPS5YsoaysjJUrV7Z7nNzcXJ566qmunJ4YgBRw9sIdQ1Q/DwzJegSfGJU0henUma+cILA7c1mIwOif97kXuFwu7rnnHpRS/O53v/PblpOT4/v/66+/HqvVysMPP0xubi42W9vnwkuWLPHbp7a2ltTU1N6rvAhJzXYNJwZmNMIbFfTj5+92zUycZqdKNfNlRDP/2Il9ujqXhQiMgAaGhIQETCYT5eXlfuvLy8tJTk5ud5/k5OROlW8NCidOnGDHjh1+dwvtSU9Px+12c/z4ccaMGdNmu81mazdgCHGxukjvY5UELRyN/j9vwRAtgirVzFGZo6FfCWgbg9VqZdq0aeTn5/vWGYZBfn4+GRkZ7e6TkZHhVx4gLy/Pr3xrUPj88895++23iY+Pv2JdioqK0HWdxMT+NUpV9K36C4EhUQ/Nmdq6Kln3tjOcCXNRY7QEuDaip3TrjsHj8fDqq6+Sn5/P2bNnMQz/Z6k7duzo9LFycnJ44IEHmD59OjNmzGDVqlU0NDQwf/58AO6//36GDh1Kbm4uAI8++ii33XYbL7zwArNmzWLjxo3s37+fl156CfAGhe9+97scOHCArVu34vF4fO0PcXFxWK1WCgoK2Lt3L7fffjtRUVEUFBTw2GOP8f3vf59BgwZ155IIQZNu0BTmzYmUqIVTFuD69IVwzUJYo0FTuM6HnjISAl0h0SO6FRgeffRRXn31VWbNmsXEiRPRtO4nCJszZw4VFRUsW7YMh8PBlClT2L59u6+BubS0FF3/6sbm5ptvZsOGDSxdupQnnniCUaNGsWXLFiZOnAjA6dOnefPNN4G2jVo7d+7ka1/7GjabjY0bN7JixQpaWloYMWIEjz32mF8bghBdVRrRAppGNFbCtN5/Sutxuyn5sgSAkpIS1PDAPOqMqfHQFK7zgbuMbxAWkDqIntWtd+/GjRv505/+xF133dUjlVi0aBGLFi1qd9uuXbvarJs9ezazZ89ut3xaWtoVE3tNnTqVDz74oMv1FOJyToR7H6V05jHSxV/qABMmTMBi6VpLtePLUkqqazgz0k7R0f2kRo/j2q5VuUfE1BqUJ8Nxo4bzFguSPin0dSswWK1Wrrvuup6uixAhy1CK0guBYbB25cBw8Zf61XTbTBo5jJGTx3P6sy+7vG9PMXtgWKOVExFOPotqgsaAVUX0kG41Pj/++OOsXr1aUu4KccFxo4Zms0L3KOI0e6f2af1Sb+3XH8pG13kfIX0W1Yx8K4S+bt0xvPfee+zcuZO//e1v7d4Cb968uUcqJ0So+MRTAUBkg4Fu7x+T8nTFyHobNkzUWD3EhQ288+9vuhUYYmNj+fa3v93TdREiZB3yVAIX0mBcuXd0ULq03aMrDdoWpTPFlMheTxk1MZI7KdR1KzC88sorPV0PIUJWk8nguFED9Hx+pO72POpov8t9+V/c7gF0uUH7JnOKNzBE6xhKoV9Fb0URWFfVp66iooKSEu+bbMyYMQwe3L9mqhKiM0rDW1BAfIsZi7tnB3l1t+dRR/td6cu/td0D6HKD9nhTPGFunSazQYVqJEmTbMWhqluNzw0NDfzgBz9gyJAh3Hrrrdx6662kpKSwYMECGhulS4IYWE6GOwEY1kuT8rR+WQ8entIj+7Wu784xL8ek6Yy6MB/0aZnZLaR1KzDk5OSwe/du3nrrLaqrq6muruavf/0ru3fv5vHHH+/pOgoRtBRw8kI31dSm/jWFZ3eMqfUGBodqwK36d3bZ/qxbj5L++7//mz//+c987Wtf86276667CAsL45577mmTyVSI/qrFqtFgNjCjk9Jk5WigKxRgiS0WrC0GTpvum95UhJ5u3TE0Nja2mRMBIDExUR4liQGl4ULSvNH6IMxKGls1NGIuzActj5NCV7cCQ0ZGBsuXL6e5+atUu01NTTz11FMdZkUVoj+qj/AGg/EmSR/XKqbGGxgqVCNu6bkakrr1KGn16tVkZWVxzTXXMHnyZAA++ugj7HY7f//733u0gkIEK0MpGiO8v60mmOI5R023jhMsyfB6is2piMZKLU5qo3SQJ0ohp1uBYeLEiXz++eesX7/eNwXn3LlzmTdvHmFhkl1RDAxVqhlD1whz6wzVozjXzeMESzK8njRUj6TWqPIOdpPAEHK6PY4hPDychQsX9mRdhAgpFRfmdk5ttKLHXF37QjAkw+tJQ/UoDhtVNIZr1HdiPmgRXDodGN58802+/vWvY7FYfPMddOSb3/zmVVdMiGBXqZoASG0M7Uc/vSGsdT5omvk8splbAl0h0SWdDgzZ2dk4HA4SExPJzs7usJymaXg88gtB9G9O5aFaXRi/0CjjF9ozVIukSjV7U3GLkNLpwHDx9J2XTuUpxEDTerdgazaI9EjXm/YM0SP5xFNBhd3NWUO6sYeSbnVXff3112lpaZsTxul08vrrr191pYQINJfLRVFRkW9xufynJau48EUX0SA/kjpi00xENHpnZzjoKQ9wbURXdCswzJ8/n5qatl3z6urqmD9//lVXSohAKy4uZn3xLna6TrC+eBfFxcW+bQqouHDHENkwMKal8bjdlJSUUFRU5O1S6+nceUfVeh8rH3RfPjBcKRCLvtWtXklKKbR2UuqeOnWKmJiYq66UEMEgZfQIX6bRizkt0IQbjQt3DFeVozg0dLdLbXSdgWMIHDWqaTQN7nA+6NZAnDJ6xFVNdSp6Rpfe0jfccAOapqFpGnfccQdm81e7ezwejh07xsyZM3u8kkIEk9Y0GHGaHV11nGa7vw1c606XWosbEpstnLW7+DKiBZo7LttRIBZ9r0uBobU3UlFREVlZWURGRvq2Wa1W0tLSuPvuu3u0gkIEm8Zwb2CI18LgMqOd++PAte4YWW/jrN3FschmIrs7ClD0qS4FhuXLl+PxeEhLS+POO+9kyJAhvVUvIYKSQtFwUWCovUL5/jZwrTtG1tv5IKGek2FORnerVVP0tS7/mUwmEw8//LBfAj0hBooaiwe3RUMHBmmh/Wior8S5zCRrERg61EdKZAgF3forTZw4kS+/HLi/gMTAdSbMO1tbrGbHpMmXXGfdYE4E8CbVE0GvW3+lf/u3f+Nf//Vf2bp1K2VlZdTW1votQvRXpy8EhnjNHuCahJYbTN75W+ojdQw1MLr4hrJudbS76667AG9OpIu7rbZ2Y5WUGKK/ar1jiNMki3BXpOkxhLl1mswGVaqJBC080FUSl9GtwLBz586erocQQe+c0USdxQCliJM7hi7RNY20BhuHY5pwqEYSkMAQzLoVGG677baerocQQe8zTxUAYU0Ks1WelXdVa2AoNxqYoMcHujriMrr97q6uruaFF17gX/7lX/iXf/kXXnzxxXbTZHTG2rVrSUtLw263k56ezr59+y5bftOmTYwdOxa73c6kSZPYtm2bb5vL5eLnP/85kyZNIiIigpSUFO6//37OnDnjd4yqqirmzZtHdHQ0sbGxLFiwgPp6maNWdKzEOA9AeKPkR+qO1EYrmqFoxE1DR0OgRVDoVmDYv38/1157LS+++CJVVVVUVVWxcuVKrr32Wg4cONClY73xxhvk5OSwfPlyDhw4wOTJk8nKyuLs2bPtlt+zZw9z585lwYIFHDx4kOzsbLKzszl06BAAjY2NHDhwgCeffJIDBw6wefNmSkpK2swRMW/ePIqLi8nLy2Pr1q288847PPTQQ925HGKA+PzCHUNrYjjRNValE37h2pVLttWg1q3A8Nhjj/HNb36T48ePs3nzZjZv3syxY8f4xje+wU9/+tMuHWvlypUsXLiQ+fPnM378eNatW0d4eDgvv/xyu+VXr17NzJkzWbx4MePGjeOZZ55h6tSprFmzBoCYmBjy8vK45557GDNmDDfddBNr1qyhsLCQ0tJSAA4fPsz27dv5/e9/T3p6Orfccgu//e1v2bhxY5s7i1YtLS3S+2oAazB5KFeNoOSO4WpE1Xk7ppQrme8zmHX7juHnP/+5X64ks9nMz372M/bv39/p4zidTgoLC8nMzPyqQrpOZmYmBQUF7e5TUFDgVx4gKyurw/IANTU1aJpGbGys7xixsbFMnz7dVyYzMxNd19m7d2+7x8jNzSUmJsa3pKamdvY0RT/Q2k11cIsZk8SFbouq9168KtWMR5ppgla3/jTR0dG+X98XO3nyJFFRUZ0+TmVlJR6Ph6SkJL/1SUlJOByOdvdxOBxdKt/c3MzPf/5z5s6dS3R0tO8YiYmJfuXMZjNxcXEdHmfJkiXU1NT4lpMnT3bqHEX/0NpNNaVJZmu7GlYXRGJBIaOgg1m3eiXNmTOHBQsW8Pzzz3PzzTcD8P7777N48WLmzp3boxW8Gi6Xi3vuuQelFL/73e+u6lg2mw2bTVIgDFRnwryNpUObrJwIcF1CXbIewRdGNXWROsisn0GpW4Hh+eefR9M07r//ftxuNwAWi4Uf/ehHPPvss50+TkJCAiaTifJy/0k8ysvLSU5Obnef5OTkTpVvDQonTpxgx44dvruF1mNc2rjtdrupqqrq8HXFwOU2QZXN+z4fIoHhqiVq4XxBNfVROkaFNOQHo27dy1mtVlavXs358+d9My5VVVXx4osvdulXtdVqZdq0aeTn5/vWGYZBfn4+GRkZ7e6TkZHhVx4gLy/Pr3xrUPj88895++23iY+Pb3OM6upqCgsLfet27NiBYRikp6d3uv5iYGhNsz1UiyTMkMcfV2uQZseCjsek4bBLt9VgdFVzT4WHh/sadMPDuzeSMScnhwceeIDp06czY8YMVq1aRUNDg2+K0Pvvv5+hQ4eSm5sLwKOPPsptt93GCy+8wKxZs9i4cSP79+/npZdeArxB4bvf/S4HDhxg69ateDweX7tBXFwcVquVcePGMXPmTBYuXMi6detwuVwsWrSIe++9l5SUlKu5JKIfagj3pn0ZbYoDnIGtTBDq6oREuqaRqIVzWtVzPKLjiY5E4HTr54/b7ebJJ58kJiaGtLQ00tLSiImJYenSpV2eq3XOnDk8//zzLFu2jClTplBUVMT27dt9DcylpaWUlZX5yt98881s2LCBl156icmTJ/PnP/+ZLVu2MHHiRABOnz7Nm2++yalTp5gyZQpDhgzxLXv27PEdZ/369YwdO5Y77riDu+66i1tuucUXXIS4WGOE92My2jQowDUJTo4vS3m78jA7XSfYdnQ/VeerrrhPkh4BIIEhSHXrjuHHP/4xmzdv5te//rXvEU5BQQErVqzg3LlzXW7oXbRoEYsWLWp3265du9qsmz17NrNnz263fFpaGqoT2Rvj4uLYsGFDl+opBh6n8tBsu3DHoMdxjMtPaj9QdXVCokQtDJSiyuamQga7BZ1uBYYNGzawceNGvv71r/vWXX/99aSmpjJ37tyr7gEkRLCoUs2gacQ6TcRESK+0nmLRTIQ3KhojND7ynCUh0BUSfrr1KMlms5GWltZm/YgRI7BapZ+36D/OKW9/Shm/0POi6ryD3T52VwS4JuJS3QoMixYt4plnnqGl5avngy0tLfzyl7/s8JGQEKGoSnmnsB0qgaHHtY6CLjGqcGoynDyYdOtR0sGDB8nPz+eaa65h8uTJAHz00Uc4nU7uuOMOvvOd7/jKbt68uWdqKkQf8+hQo7w/fuSOoefZnIoYp4kaq4fSCKd0+Aoi3QoMsbGx3H333X7rJHeQ6G8awzQUYHEqotymQFenX0prsPGRtZHjES2Yzge6NqJVtwLDK6+80tP1ECLotHZTjZBsqr1mRIONjwY1ciK8hRGBrozwuaoBbhUVFZSUeAe2jBkzhsGDB/dIpYQIBg0XRjyHN0hg6C1DmqyEYabJ7KYpTLvyDqJPdKvxuaGhgR/84AcMGTKEW2+9lVtvvZWUlBQWLFhAY6P0SRahz6Upmi98UV3ujsHjdlNSUkJRUZF31K9Hcv90hQmNCSZvZ9U6ybYaNLr1l8jJyWH37t289dZbVFdXU11dzV//+ld2797N448/3tN1FKLPldudKE3DjgnLZQbzd2fUr/A32eR90lAfJYEhWHTrUdJ///d/8+c//5mvfe1rvnV33XUXYWFh3HPPPTLATYS81ol54rUwNC5/F9zVUb/C30TzYLQWaLbrNCl3oKsj6OYdQ2NjY5vJcgASExPlUZLoF3yBQQ8LcE36vyjNSnKzBYByQ6b8DAbdCgwZGRksX76c5uZm37qmpiaeeuqpDtNlCxEqXMpD+YV00HGaPcC1GRjSGrzpRsqV/LAMBt16lLRq1SpmzpzZZoCb3W7n73//e49WUIi+dsyowaOD2a2INFuQhA3d19mU3GkNNgoS6qlUTcRL56SA61ZgmDRpEp9//jnr16/nyJEjAMydO5d58+YRFia33iI0uFwuiouLff+eMGECFouFzzzekVbhDQaadKG8Ko4vSympruHMSDtFR/eTGj2Oa9spF+c0Y3EqXFZoiNBBsnEHVJcDg8vlYuzYsWzdupWFCxf2Rp2E6BPFxcWsL95FyugRnPnsGPOAKVOmUOLx9iwKl4FtPaIzjfMaGlH1BlVxJuqiJDAEWpcDg8Vi8WtbECKUpYwewcjJ433/diuDo0Y1ABGNMiahL0XVebyBIVJHVcq1D6RuNT4/8sgj/OpXv8Ltlq5lon85YdTixIPNo2FrkS+nvhTeqDCh4bZoVNjkuyWQutXG8OGHH5Kfn8///u//MmnSJCIiIvy2S0ZVEao+u/AYKaXJiobcGfclXcFgLRyHauBYhFz7QOqx7KpC9AefGd6G56FNViTZZ98bokfg8DRwNFIaGQKpS4HBMAyee+45PvvsM5xOJ//0T//EihUrpCeS6BcMFF9c6JGUIoEhIJK0cLQLc0GfMepJ0SMDXaUBqUttDL/85S954okniIyMZOjQofzmN7/hkUce6a26CdGnKmxumnAThpmElq9+M0mivL5j0UxEXJjZrdDtCHBtBq4uBYbXX3+df//3f+fvf/87W7Zs4a233mL9+vUYhnTrE6HvdLj38cVo0yB0vhq/IIny+lZ07YXA4CkPcE0Gri49SiotLeWuu+7y/TszMxNN0zhz5gzXXHNNj1dOiL506kJ+pLGmeKDab5skyus7UXUGuoJTRh0Oo4Fk/avOLZcOSoSvBiaKntOlOwa3243d7p87xmKx4HJdJi+xECFAAWVh3vfxWD0usJUZ4MwGDG30zrF94JLHSa2DEne6TrDTdYL1xbvaBApx9bp0x6CU4sEHH8Rm+yrfSXNzMz/84Q/9uqxKd1URaprCNFy6IhILQ/UozgW6QgPcdfV2TkY4KfSUc9clSTQuHZQoel6XAsMDDzzQZt33v//9HquMEIHScGF+59GmOHRN8iMF2sgGO7uo5YRRS4XRyGA9PNBVGlC6FBheeeWV3qqHEAHVOr/zWJM8RgoGYR6dMXocR4wqDnjKydJHBLpKA4rMpScGPI9SNIZ77xLGSGAIGtPMyYB0Ww0ECQxiwKtWzShdI8ytk6LJgKpgMdWUhAZ8adRwzmgKdHUGlIAHhrVr15KWlobdbic9PZ19+/ZdtvymTZsYO3YsdrudSZMmsW3bNr/tmzdv5s477yQ+Ph5N0ygqKmpzjK997Wtomua3/PCHP+zJ0xIh5Jzyfulc02RFk/aFoBGj2xilDwJkTENfC2hgeOONN8jJyWH58uUcOHCAyZMnk5WVxdmzZ9stv2fPHubOncuCBQs4ePAg2dnZZGdnc+jQIV+ZhoYGbrnlFn71q19d9rUXLlxIWVmZb/n1r3/do+cmQkflhcDQ2kVSBI/pFx4nfeguC3BNBpaABoaVK1eycOFC5s+fz/jx41m3bh3h4eG8/PLL7ZZfvXo1M2fOZPHixYwbN45nnnmGqVOnsmbNGl+Z++67j2XLlpGZmXnZ1w4PDyc5Odm3REdHX7Z8S0sLtbW1fosIfR4dqpQ3k2eqBIagM82cjI7GMaOGcqMh0NUZMAIWGJxOJ4WFhX5f4Lquk5mZSUFBQbv7FBQUtPnCz8rK6rD85axfv56EhAQmTpzIkiVLaGy8/CTkubm5xMTE+JbU1NQuv6YIPg3hOgqwOhUx7m4lGxa9KEazMc4UD8A+uWvoMwELDJWVlXg8HpKSkvzWJyUl4XC03wvB4XB0qXxHvve97/Ff//Vf7Ny5kyVLlvCf//mfVxyPsWTJEmpqanzLyZMnu/SaIjjVR3o/Aq2J20TwmWEaAsBedxkKSWDYFwbkT6SHHnrI9/+TJk1iyJAh3HHHHRw9epRrr21vqnKw2Wx+I75F/9BwITBESmAIWlPNSfynsxiHaqDSZgfJwNPrAnbHkJCQgMlkorzcv7dBeXk5ycnJ7e6TnJzcpfKdlZ6eDsAXX3xxVccRoaXG4sZp1dCAiEYJDMEqTDMz2TQYgM8iZWa3vhCwwGC1Wpk2bRr5+fm+dYZhkJ+fT0ZGRrv7ZGRk+JUHyMvL67B8Z7V2aR0yZMhVHUeEltJwbzbVOM2OSeJCUEs3pwDweVSTPEzqAwF9lJSTk8MDDzzA9OnTmTFjBqtWraKhoYH58+cDcP/99zN06FByc3MBePTRR7ntttt44YUXmDVrFhs3bmT//v289NJLvmNWVVVRWlrKmTNnACgpKQHw9T46evQoGzZs4K677iI+Pp6PP/6Yxx57jFtvvZXrr7++j6+ACKTSC/MvDNbCgZrAVkZc1iRTAmGYqbe4faPURe8JaGCYM2cOFRUVLFu2DIfDwZQpU9i+fbuvgbm0tBRd/+qm5uabb2bDhg0sXbqUJ554glGjRrFlyxYmTpzoK/Pmm2/6AgvAvffeC8Dy5ctZsWIFVquVt99+2xeEUlNTufvuu1m6dGkfnbXoS5fm72/N3e9WBqcu3DEM1sORqXeCm0UzcaM5mXfcpzgfawp0dfq9gDc+L1q0iEWLFrW7bdeuXW3WzZ49m9mzZ3d4vAcffJAHH3yww+2pqans3r27q9UUIao1f3/K6BGc+ewY84ApU6Zw1KjGpStMbkWM2SqBIQTcYr6Gd9ynqI3WcSkPFk0CRG8JeGAQore1l7//E08FAJENBlqYPJoIBSP0GOJazFTZ3Jw26kkzxfhtl9ndek7AcyUJEQhFbm/alag6aXUOFZqmMb42DIBSVddmu8zu1nPkjkEMOA6jHodqQFcyfiGQPG43JV96O4eUlJSghl95nNCY2jDeT6ilhhZqVEub7TK7W8+QwCAGnIMX7haGNloxGW2/XETfcHxZSkl1DWdG2ik6up/U6HG0P7z0K2GGTlStQW2MiVKjlogrlBfdI4FBDDhFHm9gGNlgpxLvI4mLf71C53/BiquTNHIYIyeP5/RnX3Z6n0HVHmpjTJw26rlOmod6hQQGMaA0mDx8aVQDMKLBRuWF9Rf/egU6/QtW9L2IBkU4ZhpxUx2jgyRd7XESGMSAcjyiBQWk6dFEuv27O7b+egW69AtW9C0NSNNj+NQ4R1WcCdUgY6F7mvRKEgPKl5HeNoUppqQrlBTBbJgehQmNFrvOqTBnoKvT70hgEAOGR4dTYd7AcIM5McC1EVfDoplI1aMA+Cj28nOpiK6TwCAGjPpIHY/uzY2UokUGujriKo3QvQPcjke0yOxuPUzaGMSAURPj/R10ozkZTZPuLKEuUrMSWeehPsrEDlcp4y5TtqOcWaJ9cscgBgSn8vhma0s3S3r1/iK+ygPAu+5TNOkdD1a8eFS0jIi+MrljEANCmWpAaRrxLWaGRkQFujqih0Q0KAY3m6mwu/loUANcZpZfGRXdeXLHIAaE04Z3INvoOnuAayJ6kgZMr/K2F30c04hHvtF6hNwxiJB3pefHLjOcU94pIUfVhfV5/UTXXDoKHS7fJjCywUaKFskZUz1VcZKKuydIYBAhr6M5F1rVRHu/LMIbDaLd8sUR7C4dhd7e3/RiGhp3WUfy+5aPORdnwq0MzJrcOlwNCQyiX7jc8+PW3kgxNZ6+rJK4ChePQu+MG03J/MlZTK3VwwmjlmtNsb1XuQFAwqro185ZXTSH6WhAdK2k2O6vTJrO9PPeXKtHjWrcSv7WV0MCg+jXDkc3AZCkRWCWG4Z+bUxtGBanogXvXYPoPgkMot9yK4OSKG+jc2v6BBF6PG43JSUlFBUVedOhe9pPmmdCY3ClG4AvjGoMGcPYbRIYRL/1iaeCJrOB2aVI1MIDXR3RTY4vS3m78jA7XSfYdnQ/VeerOiwbW20QjhknHqoGSUeD7pLAIPqt99ynAG+jsy4pMEJaa2P04OEply2nAaNMgwCoTDDh0qStoTskMIh+qdpo5hOPdxqeQdXy5TCQXKNFEY4Zj1njk5imQFcnJElgEP1SgfsMBorkJgs2p0zkMpDomsboC3cNBwc10KLcAa5R6JFxDKLfUSjed58GYHxtGOXUAzKv80AyVIviU+dZmqwGO10nSQ50hUKM3DGIfsdhd+FQDVgxcd1FuZEubsTsTEOmCF26pjG4wnunsN31JU5pa+gSuWMQ/U7r2IXp5mSsyn/wgszrPHDE1BjUDzZRY3VxKLYRzga6RqFD7hhEv+LR4PMLYxduMQ8NcG1EIGnAjRcyrx6IbcAjHdM6TQKD6FfqonVcumKwFs4ofVCgqyMCbHSdnSQtnGazksyrXRDwwLB27VrS0tKw2+2kp6ezb9++y5bftGkTY8eOxW63M2nSJLZt2+a3ffPmzdx5553Ex8ejaRpFRUVtjtHc3MwjjzxCfHw8kZGR3H333ZSXl/fkaYkAqY7xfvhvNqfI9J0CHY1vWK4F4Fy8SXIodVJAA8Mbb7xBTk4Oy5cv58CBA0yePJmsrCzOnm3/YeCePXuYO3cuCxYs4ODBg2RnZ5Odnc2hQ4d8ZRoaGrjlllv41a9+1eHrPvbYY7z11lts2rSJ3bt3c+bMGb7zne/0+PmJvtWk3DREeIPBTebLD4QS/UNn0mXMMA8h1mnCY9Y4ZtQEoJahJ6CBYeXKlSxcuJD58+czfvx41q1bR3h4OC+//HK75VevXs3MmTNZvHgx48aN45lnnmHq1KmsWbPGV+a+++5j2bJlZGZmtnuMmpoa/vCHP7By5Ur+6Z/+iWnTpvHKK6+wZ88ePvjggw7r2tLSQm1trd8igsspow40jZRGC4N1SYExEHQmXYZJ031tDUeNapnlrRMCdomcTieFhYV+X+C6rpOZmUlBQUG7+xQUFLT5ws/KyuqwfHsKCwtxuVx+xxk7dizDhg277HFyc3OJiYnxLampqZ1+TdH7FBcCAzBWZmkbUDqTLmNUnR1ri4ELQ9oaOiFggaGyshKPx0NSUpLf+qSkJByO9mf0djgcXSrf0TGsViuxsbFdOs6SJUuoqanxLSdPnuz0a4re12zXqMeFZiiuq5d5nYU/HY3BFd6uy+fiTLg1GQ1/OTKOoZNsNhs2m4ySDVbVsd5fgdF1BlZDnhWItmJqDaow02R281lUE9MDXaEgFrBPUEJCAiaTqU1voPLycpKT2x/Anpyc3KXyHR3D6XRSXV19VccRwcODoib6wvSd1TIbj2ifBqTp0QB8FNuIUt67BpfLRVFRkW9xuVwBrGVwCFhgsFqtTJs2jfz8fN86wzDIz88nIyOj3X0yMjL8ygPk5eV1WL4906ZNw2Kx+B2npKSE0tLSLh1HBI8TES14zBo2TEQ2yCMC0bFhejSaoThnc1NieBuqi4uLWV+8i52uE6wv3kVxcXGAaxl4AX2UlJOTwwMPPMD06dOZMWMGq1atoqGhgfnz5wNw//33M3ToUHJzcwF49NFHue2223jhhReYNWsWGzduZP/+/bz00ku+Y1ZVVVFaWsqZM2cA75c+eO8UkpOTiYmJYcGCBeTk5BAXF0d0dDQ//vGPycjI4KabburjKyB6wpELKTCG6pFoNAa4NiKYWTUTsdUG5+NMvO06wVhTPAApo0f4UqWIAAeGOXPmUFFRwbJly3A4HEyZMoXt27f7GphLS0vR9a9uam6++WY2bNjA0qVLeeKJJxg1ahRbtmxh4sSJvjJvvvmmL7AA3HvvvQAsX76cFStWAPDiiy+i6zp33303LS0tZGVl8e///u99cMaip9UrJ8cjWgDv9J2VkhBHXEF8lYfzcSY+8pyl3GgIdHWCUsAbnxctWsSiRYva3bZr164262bPns3s2bM7PN6DDz7Igw8+eNnXtNvtrF27lrVr13alqiIIfeh2YGhgbzKIjrZRLqm1xRXYnIrhDVZORDjZ4SplXKArFIQCHhiEuBoFF+ZdiKkxINo74KmkuoYzI71dVouO7ic1ehzXBrKSIiAunn/j0h8I11dHcCLCyR73aa7V4gJVxaAlgUGELIdRz5dGDZryzuvMhTGHklpbgP+PhEt/IAxrtJKohXNWNfJZVDOcC2hVg450+BYhq8Dt7WAwrNGGRXqpinZ0NCpaQ+NrlmEAfBzbiPRl8yd3DCIkuFwuv26ECkXBKG9CtLG1dk4huatE1/yDeShbnJ9RZXMTHS6ZeC8mgUGEhNa+5imjRwBwoqqc+lHDCMPMiAY7pwJcPxF6IjQLN5lTeMd9iqpBkj/pYhIYRMi4uK/56bPet+6N5mTMyh3IaokQdrt5GO+4T1EbrdMs7yMfaWMQIcetDGovpMDIkOk7xVVINUUzpMkCmsYJQx5HtpLAIEJOmarHMGnEOE1cp8cGujoixE2q9s7dccKolUboCyQwiJBTemHehXG1YTJ9p7hq19bbMbsVLXh8d6IDnVwFEVLqlZMq1QxKMbZWJuQRV8+ExqDz3v7O0gjtJYFBhJSTF+4WIusNIj3yIRY9Y9B5DxrQGKFTaZW02xIYRMhQfBUYBlUbga2M6FcsbkjWIgD4JFYy9EpgECGjPlKnBQ9WdCLrJDCInpWmxwBQEtVMvXIGuDaBJYFBhIzzsd636zV6lLxxRY+L1+zYmw3cumKXa2DP6S4D3ETQuDTtBcCECROwWCzUWNzURXnDwTA9mgqZd0H0ME3TiK/0cPoanXzXCf6PJQ2bNjDbsSQwiKBxadqLM58dYx4wZcoUPoppBE1jsBZGlGalIrBVFf1UTK1BrctEncXJ++5T/CMpfj9WWn+o9HcSGERQaW+KxUbl4nCMd/rOkRcGtF0u174Q3aUBN5wP553EOv7XdZzYz6r4Y/FuUkaP8Puh0t9JYBBB7133KVy6wtZsMDjSO3bhcrn2hbgczxVm+RtXG86BxGYqVRNfRFoH5HzQ0oYngpqBIt91AvDO1XvxSOeOcu0LcTmOL0t5u/IwO10n2Ok6wbaj+6k6X+XbblEad1iGA7A/rmFApsmQOwYR1I5GNlOlmglz697pO4XoAVea5e+fLMPJcx2nyuYmLGbg/X4eeGcsQoYCPoxrAGBSTTj6QPzpJgIiQrMw0zISgLODzRhqYL35JDCIoFUbrVNlcxOOmckXMmAK0VfusAwn3K3jsg68lNwSGERQMpTi7GBvH/I7LSOwGfJWFX3LppmYURUJwOfGeTwDKJGvfNpEUDqt6nHadOwejcwLDYFC9LVxNWFYnd6U3OfiB85gNwkMIugYSvGZx9tLZOr5COya9JEQgWFCI/Gsd8rPygQTtWZPgGvUNyQwiKBzwqilETcmt/LNriVEoETXGsRrdpSu8X7CwGhrkJ9iIqi4TfCl4b1bSKxwY1Hy20UElgZMNCWw23WSo1EtFHsqmWBKaJPbqz+ly5DAIIJKxWAzLgyisDLofAv0j8+ZCBEdjYqO1mzEVXmoijfzx5bDrAj7B7/cXv0tXUZQ/Bxbu3YtaWlp2O120tPT2bdv32XLb9q0ibFjx2K325k0aRLbtm3z266UYtmyZQwZMoSwsDAyMzP5/PPP/cqkpaWhaZrf8uyzz/b4uYnOO2d1UTXI+5acaIpnAHUCEUHicqOiEys8hLl1HKqBfLd3NH5ruozWxI/9RcADwxtvvEFOTg7Lly/nwIEDTJ48maysLM6ebT+t8p49e5g7dy4LFizg4MGDZGdnk52dzaFDh3xlfv3rX/Ob3/yGdevWsXfvXiIiIsjKyqK5udnvWE8//TRlZWW+5cc//nGvnqvomFKK9xLqQNNI1iJI0KVtQQRG66joS9OtmAzIOOftvvqm8wvqTf23ITrggWHlypUsXLiQ+fPnM378eNatW0d4eDgvv/xyu+VXr17NzJkzWbx4MePGjeOZZ55h6tSprFmzBvB+waxatYqlS5fyrW99i+uvv57XX3+dM2fOsGXLFr9jRUVFkZyc7FsiIiJ6+3RFBz72VHAywolmKMab4gNdHSHaNa42jJF6DC14eH9wXaCr02sCGhicTieFhYVkZmb61um6TmZmJgUFBe3uU1BQ4FceICsry1f+2LFjOBwOvzIxMTGkp6e3Oeazzz5LfHw8N9xwA8899xxut7vDura0tFBbW+u3iJ7hVgZ/ch4BIK7KQ4QmDQsiOGlofM86Hg34PKqZusiA/7buFQE9q8rKSjweD0lJSX7rk5KScDgc7e7jcDguW771v1c65k9+8hM2btzIzp07efjhh/l//+//8bOf/azDuubm5hITE+NbUlNTO3+i4rJ2uE9QrhoJd+sMruy/t+eif0gzxZBp9g66LEs241b9L7njgO2VlJOT4/v/66+/HqvVysMPP0xubi42W9tJX5YsWeK3T21trQSHHlCrWnjLeRSAm85FUm40BbhGQlzZt6yj+KDpJHVWgyNGFf2tRSygdwwJCQmYTCbKy8v91peXl5OcnNzuPsnJyZct3/rfrhwTID09HbfbzfHjx9vdbrPZiI6O9lvE1dvi/Jwm3AzToxlXGxbo6gjRKXbNzNfOxgBwzKihMax/9aELaGCwWq1MmzaN/Px83zrDMMjPzycjI6PdfTIyMvzKA+Tl5fnKjxgxguTkZL8ytbW17N27t8NjAhQVFaHrOomJiVdzSqILTnpqedd9CoB7rWPRLumg6nG7KSkpoaioyNuf3DOwUh+L4HLx+7GoqIjmg8eJOe999Hk6xYxT8z5ScrlcvjKti8vlCmTVuyzgj5JycnJ44IEHmD59OjNmzGDVqlU0NDQwf/58AO6//36GDh1Kbm4uAI8++ii33XYbL7zwArNmzWLjxo3s37+fl156CQBN0/jpT3/Kv/3bvzFq1ChGjBjBk08+SUpKCtnZ2YC3AXvv3r3cfvvtREVFUVBQwGOPPcb3v/99Bg0aFJDrMNAopdjoPIICppuSGW2Ko4hSvzIyfacIJhe/HwGKju5naNx47Den0mxz8+7gOmaA38A3ICQHvwU8MMyZM4eKigqWLVuGw+FgypQpbN++3dd4XFpaiq5/dWNz8803s2HDBpYuXcoTTzzBqFGj2LJlCxMnTvSV+dnPfkZDQwMPPfQQ1dXV3HLLLWzfvh273fsHtdlsbNy4kRUrVtDS0sKIESN47LHH/NoQRM+5NHUAgHPcYEqMKizozLaO6XDf1j7l7c2yJURfu3TmN92tuMGUSIH7NIdjmtjvdmCGkJ8nOuCBAWDRokUsWrSo3W27du1qs2727NnMnj27w+NpmsbTTz/N008/3e72qVOn8sEHH3SrrqLrLv0FdfqL4xhp48ECWZYRxOvStiBCV4IeRkKlh8rBZl5vOcR3LLEQWk+O2giKwCD6v4t/QVXEmzhr8RCr2Zhp6V+pBMTAlFjhwRQZRnmYi60p50kK8Rvc/jk6QwStZuWmMsE74cndltEy14LoFzTgrrJY4jQ71VYPJ1MtIT1PtAQG0aeOeKowTBrR593Yi8+GZI8NIdoT4THxE/s0LB6NxgidIs9ZVIgGBwkMos9UG82cVN78MrV7jrDLVcr64l1tGqaFCFXX6FHMdMSCUpxW9XzkqSAUQ4Pcx4s+oYBDxjkALCdriI+KY+Tk8b6+4fBV7nshQtnwRhvXnHZz+hoLJ1UdMSlmjIrQCg9yxyD6RE20znnVjAmNsOKvUqpfnP/+4tz3QoSymFqDqaYkNKAm1sT/JtfgUqGTB0wCg+h1LbpBebL35vQ6fRB6s38W29a+4Rfnvhci1KXokUwzJaEpxRdRzbzYvJ8GFRrtafIoSfS6fXH1uM0aEVi4Vo+l/Mq7CNEvDNEjGXbCRVmqjc84T25jAXceCyfa/dVXbzDOFS2BQfSqk55aPo5tBGCSKQGT1r+SjQlxJZGNiu+ciuPvafU4VCP/mVLL8DKDiEYVtOkyJDCIXmMoxX85P0VpEF3jYXBCf0tOLISXx+2m5MuOO1EkOC0ssWfw3Pn3qLDDiTQYr8czJAB17QxpYxC9Js99nKNGNRZDI7m849nxhAh1nelEEafbuftUPDHVHhRQbJzj5DVmmvXgm+hH7hhErzhp1PEX52cA/GNFFOXu5gDXSIje1ZmEj2alMfSMm2viEvnUOEddtImNYZXEeaoYYUT5jekJZNuDBAbR41zK4PfNH+FGMcWUyLhaTRqchbhAA0aaYonTw9jbUEq9DZ5r3sf0cxF8/mkhQ0eNCHjbgwQG0eM2Oz/jtKonCiv32ybwJYcDXSUhAqaj9odYzcbIL10wNJYj0U18GN9AeOZohsQEPrGkBAbRI1rnXCiJaiIvuQaAeeaxRGsyklkMbJebcMqk4PbyGP5x8ChebfyExgid3e6TDInUoSVwdZbAIHpEcXExrzr20nDtMEDDeqSCo1+8i3nMGEl1IQa8jtofWu8mxgAzTtZSmBFBcxiUppr5qLKBKRfKXTrZVW+3P0ivJNEjym0uGm8ehtI1krRwwo5USqoLIa7g4t5Muz7ZR8x+B8P1aNA03h1cxybnEQylfJNd7XSd6JPEk3LHIK5aiaeKLUO96bTjNTvTTEnsQablFKIzLv6caAom6Qk0lVVxNsnM313HqVNObkD16XShEhhEp116O6tQnB8byxuez/CYFOENBjNihmDS5EZUiO7SNI3B5zxcr+LZkVzLHvcZmuIjwNF3dZDAIDrt4rmbDQ2OhjXh9MQCcG2dDeupWszXS1AQoieMrQtj2LBhvOz8hINxDSQ5TYzso9eWT7HokpTRI4ibNJJT46JwpsWiKfiOZTQzHbHooZVyXoig1TpPSXhxBRmVkQCUJ5s5Y9T3yetLYBCd5tYU5Ykm3vOcpg4nJrfin88M4i7rSDQkOZ4QPeXiRumas+fwHDwJQJHnLM223v+syaMkcUVKKQo95awfXkGdxfuWGapFElZSTtOxWooabdIlVYge1tooDXB605c0pTXjHGTnZKqFlpO9m19JAoNoo7WRWaE4Hebkk1SDo6oGLGBxKSbbkxmiR/Lu5x9ytIOBO0KInqMBsYfPU3dzKk1WN/+bXMONSqH3Uhp7CQyijU+KD/Fa5X6MyUNpCtdBgdmAYZ83Y3XBkBsifWWlS6oQfUN3K6abk3nPeZITES38zfUls6y981NMAoPwOWc0UeA+Q35aBQ2jUr0rPQZ8dpaRpkEUb3+f1BvGBbaSQgxgsZqNlDI3LfFhzAjrvdkcJDAMUK2Pi2rNHr6IbOZMosZxVevdaAGTW5FmjaXib/sJj4hgzB3jOfup3BUIEWixNQa3NsYzOL73Jr6SwDDAuJXBl0Y1+Y5iigafwxNr925Q3ueYo/RBDDtjcPr8Wa67PoF3W9wQEdAqCyEuYerlXoASGPoxl8vFoeJDVFs8nAlzcj7ZRok6TxNuiAPwBoWweg/DjznJiBhGhMdESUkJmvQwEmLACopxDGvXriUtLQ273U56ejr79u27bPlNmzYxduxY7HY7kyZNYtu2bX7blVIsW7aMIUOGEBYWRmZmJp9//rlfmaqqKubNm0d0dDSxsbEsWLCA+vq+GTzSm+qUkyOec+S5jvP8uff499TTrE+rZGdSLUWqgibc2D0ayaedpJx0cqd5OLa3P6Ok8CP2NZ+SpHdCiMDfMbzxxhvk5OSwbt060tPTWbVqFVlZWZSUlJCYmNim/J49e5g7dy65ubl84xvfYMOGDWRnZ3PgwAEmTpwIwK9//Wt+85vf8NprrzFixAiefPJJsrKy+PTTT7Hbvb+S582bR1lZGXl5ebhcLubPn89DDz3Ehg0b+vT8O6PF6eRAySGadIMmk0GzyWBQajKNuocqTyOltZXUmz3UWzw0my4afhwFYEZHQ6usx3OyihExSYQ1Kz7Ke4/UG8ZhG+ltTPbrMy09jIQY0AIeGFauXMnChQuZP38+AOvWreN//ud/ePnll/nFL37Rpvzq1auZOXMmixcvBuCZZ54hLy+PNWvWsG7dOpRSrFq1iqVLl/Ktb30LgNdff52kpCS2bNnCvffey+HDh9m+fTsffvgh06dPB+C3v/0td911F88//zwpKSm9cq4ftJxib+WXeDSFR1MYGkRER2Ho4DY81DTUY2gKjwaGptBtVhpxUa9ctEmS4qkGz4X/j/TfFO00Ee80YzpZg9uqMX7MOPa89z/Y42KYOMMbCM7Il78QogMBDQxOp5PCwkKWLFniW6frOpmZmRQUFLS7T0FBATk5OX7rsrKy2LJlCwDHjh3D4XCQmZnp2x4TE0N6ejoFBQXce++9FBQUEBsb6wsKAJmZmei6zt69e/n2t7/d5nVbWlpoaflqSqWaGu8sZbW1tZ0+33fOfMKhmMavViig5lzHO1wyg5PuAbNb0Xy+FldNI+FWG9XHyoiKiOCaoddwbE8RNSfKMI8YQSNw9MAhUiZch+lcI6dLjmGNjiDCHgbg9+/ObuuJY/T28UOhjqF+/FCoY6gf/3Llyr44wY3j4rv03XOxqKgotCsMjAtoYKisrMTj8ZCUlOS3PikpiSNHjrS7j8PhaLe8w+HwbW9dd7kylz6mMpvNxMXF+cpcKjc3l6eeeqrN+tTU1I5OTwghesVvr2LfmpoaoqOjL1sm4I+SQsWSJUv87lQMw6Cqqor4+PgrRl/w3lmkpqZy8uTJK/5RBgq5Jm3JNWmfXJe2untNoqKirlgmoIEhISEBk8lEeXm53/ry8nKSk5Pb3Sc5Ofmy5Vv/W15ezpAhQ/zKTJkyxVfm7Nmzfsdwu91UVVV1+Lo2mw2bzb8LZ2xs7OVPsB3R0dHyxr6EXJO25Jq0T65LW71xTQLaXdVqtTJt2jTy8/N96wzDID8/n4yMjHb3ycjI8CsPkJeX5ys/YsQIkpOT/crU1tayd+9eX5mMjAyqq6spLCz0ldmxYweGYZCent5j5yeEECFJBdjGjRuVzWZTr776qvr000/VQw89pGJjY5XD4VBKKXXfffepX/ziF77y77//vjKbzer5559Xhw8fVsuXL1cWi0V98sknvjLPPvusio2NVX/961/Vxx9/rL71rW+pESNGqKamJl+ZmTNnqhtuuEHt3btXvffee2rUqFFq7ty5vXaeNTU1ClA1NTW99hqhRq5JW3JN2ifXpa3evCYBDwxKKfXb3/5WDRs2TFmtVjVjxgz1wQcf+Lbddttt6oEHHvAr/6c//UmNHj1aWa1WNWHCBPU///M/ftsNw1BPPvmkSkpKUjabTd1xxx2qpKTEr8y5c+fU3LlzVWRkpIqOjlbz589XdXV1vXaOzc3Navny5aq5ubnXXiPUyDVpS65J++S6tNWb10RTSsmEjEIIIXyCIiWGEEKI4CGBQQghhB8JDEIIIfxIYBBCCOFHAkMf6Wpq8f5kxYoVaJrmt4wdO9a3vbm5mUceeYT4+HgiIyO5++672wxiDHXvvPMO//zP/0xKSgqapvlye7VSAzBV/JWuyYMPPtjmfTNz5ky/Mv3tmuTm5nLjjTcSFRVFYmIi2dnZlJSU+JXpzOeltLSUWbNmER4eTmJiIosXL8btdne6HhIY+kBravHly5dz4MABJk+eTFZWVpvR1/3ZhAkTKCsr8y3vvfeeb9tjjz3GW2+9xaZNm9i9ezdnzpzhO9/5TgBr2/MaGhqYPHkya9eubXd7a6r4devWsXfvXiIiIsjKyqK5udlXZt68eRQXF5OXl8fWrVt55513eOihh/rqFHrcla4JwMyZM/3eN3/84x/9tve3a7J7924eeeQRPvjgA9+UAHfeeScNDQ2+Mlf6vHg8HmbNmoXT6WTPnj289tprvPrqqyxbtqzzFenxDrCijRkzZqhHHnnE92+Px6NSUlJUbm5uAGvVd5YvX64mT57c7rbq6mplsVjUpk2bfOsOHz6sAFVQUNBHNexbgPrLX/7i+7dhGCo5OVk999xzvnXV1dXKZrOpP/7xj0oppT799FMFqA8//NBX5m9/+5vSNE2dPn26z+reWy69Jkop9cADD6hvfetbHe7T36+JUkqdPXtWAWr37t1Kqc59XrZt26Z0XfcNElZKqd/97ncqOjpatbS0dOp15Y6hl7WmFr84DfiVUov3R59//jkpKSmMHDmSefPmUVpaCkBhYSEul8vv+owdO5Zhw4YNmOtzpVTxwBVTxfdXu3btIjExkTFjxvCjH/2Ic+e+SlM/EK5Ja3r/uLg4oHOfl4KCAiZNmuSXYTorK4va2lqKi4s79boSGHrZ5VKLd5Tiu79JT0/n1VdfZfv27fzud7/j2LFj/OM//iN1dXU4HA6sVmubhIQD6fr0Vqr4UDdz5kxef/118vPz+dWvfsXu3bv5+te/jsfjnaGqv18TwzD46U9/yj/8wz/4ZqfszOelo6kJWrd1hqTdFr3u61//uu//r7/+etLT0xk+fDh/+tOfCAsLC2DNRDC79957ff8/adIkrr/+eq699lp27drFHXfcEcCa9Y1HHnmEQ4cO+bXH9RW5Y+hl3Ukt3t/FxsYyevRovvjiC5KTk3E6nVRXV/uVGUjX5+JU8Re7NJ18V1PF9zcjR44kISGBL774Aujf12TRokVs3bqVnTt3cs011/jWd+bz0tHUBK3bOkMCQy/rTmrx/q6+vp6jR48yZMgQpk2bhsVi8bs+JSUllJaWDpjrI6niO+fUqVOcO3fON89Kf7wmSikWLVrEX/7yF3bs2MGIESP8tnfm85KRkcEnn3ziFzTz8vKIjo5m/Pjxna6I6GVXSi3e3z3++ONq165d6tixY+r9999XmZmZKiEhQZ09e1YppdQPf/hDNWzYMLVjxw61f/9+lZGRoTIyMgJc655VV1enDh48qA4ePKgAtXLlSnXw4EF14sQJpVRwporvbZe7JnV1depf//VfVUFBgTp27Jh6++231dSpU9WoUaP8son2t2vyox/9SMXExKhdu3apsrIy39LY2Ogrc6XPi9vtVhMnTlR33nmnKioqUtu3b1eDBw9WS5Ys6XQ9JDD0kculFu/v5syZo4YMGaKsVqsaOnSomjNnjvriiy9825uamtT//b//Vw0aNEiFh4erb3/726qsrCyANe55O3fuVECbpTWlfDCmiu9tl7smjY2N6s4771SDBw9WFotFDR8+XC1cuLDNj6n+dk3aux6AeuWVV3xlOvN5OX78uPr617+uwsLCVEJCgnr88ceVy+XqdD0k7bYQQgg/0sYghBDCjwQGIYQQfiQwCCGE8COBQQghhB8JDEIIIfxIYBBCCOFHAoMQQgg/EhiEEEL4kcAghBDCjwQGIfrAgw8+SHZ2drvb0tLSfHMah4WFkZaWxj333MOOHTv8yh0/fhxN0ygqKur9CosBTQKDEEHg6aefpqysjJKSEl5//XViY2PJzMzkl7/8ZaCrJgYgmahHiCAQFRXly5U/bNgwbr31VoYMGcKyZcv47ne/y5gxYwJcQzGQyB2DEEHq0UcfRSnFX//610BXRQwwEhiECFJxcXEkJiZy/PjxQFdFDDASGIQIYkopNE0LdDXEACOBQYggde7cOSoqKtpM7yhEb5PAIESQWr16Nbqud9jNVYjeIr2ShOgjNTU1bcYgxMfHA1BXV4fD4cDlcnHs2DH+67/+i9///vfk5uZy3XXX+e1TUlLS5tgTJkzAYrH0Wt3FwCJTewrRBx588EFee+21NusXLFjA22+/zYkTJwCwWq0kJydz00038cMf/pDbb7/dV/b48eMdPlY6efIk11xzTe9UXgw4EhiEEEL4kTYGIYQQfiQwCCGE8COBQQghhB8JDEIIIfxIYBBCCOFHAoMQQgg/EhiEEEL4kcAghBDCjwQGIYQQfiQwCCGE8COBQQghhJ//D2Hr2lDhs+0mAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_hist(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x14773b1f0>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 7069.86x500 with 14 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Intresting phenomena where at age 40 the distribution of weight becomes different between smokes and non smokers.\n",
+    "#This is excluded from the report but will be further investigated on part B.\n",
+    "sns.displot(data=df, x=\"weight(kg)\", hue=\"smoking\", col=\"age\", kind=\"kde\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "             Cholesterol      LDL\n",
+      "Cholesterol      1.00000  0.73496\n",
+      "LDL              0.73496  1.00000\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x240 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Plotting and printing the correlation between Cholesterol and LDL\n",
+    "plt.figure(dpi=80 , figsize=(10,3))\n",
+    "plt.ylim(0,350)\n",
+    "plt.xlabel(\"Cholesterol\")\n",
+    "plt.ylabel(\"LDL\")\n",
+    "plt.scatter(x=df[\"Cholesterol\"],y=df[\"LDL\"] ,c = \"green\" , s = 2 )\n",
+    "print(df[[\"Cholesterol\",\"LDL\"]].corr())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            weight(kg)  waist(cm)\n",
+      "weight(kg)     1.00000    0.82115\n",
+      "waist(cm)      0.82115    1.00000\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x14bbd8a30>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x240 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"weight(kg)\"].astype(float)\n",
+    "df = df[df[\"waist(cm)\"] != \"ok\"]\n",
+    "df[\"waist(cm)\"] = df[\"waist(cm)\"].astype(float)\n",
+    "print(df[[\"weight(kg)\",\"waist(cm)\"]].corr())\n",
+    "plt.figure(dpi=80 , figsize=(10,3))\n",
+    "plt.xlabel(\"Weight (KG)\")\n",
+    "plt.ylabel(\"Waist (CM)\")\n",
+    "\n",
+    "plt.scatter(x=df[\"weight(kg)\"],y=df[\"waist(cm)\"] ,c = \"green\" , s = 2)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            systolic  relaxation\n",
+      "systolic    1.000000    0.729996\n",
+      "relaxation  0.729996    1.000000\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x14bc1d7b0>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x240 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(df[[\"systolic\",\"relaxation\"]].corr())\n",
+    "plt.figure(dpi=80 , figsize=(10,3))\n",
+    "plt.xlim(-30,250)\n",
+    "plt.xlabel(\"Systolic\")\n",
+    "plt.ylabel(\"Relaxation\")\n",
+    "plt.scatter(x=df[\"systolic\"],y=df[\"relaxation\"] ,c = \"green\" , s = 1.1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_035db_row0_col0 {\n",
+       "  background-color: #67000d;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_035db_row1_col0 {\n",
+       "  background-color: #f34c37;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_035db_row2_col0 {\n",
+       "  background-color: #fa6648;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_035db_row3_col0 {\n",
+       "  background-color: #fb7555;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_035db_row4_col0 {\n",
+       "  background-color: #fc8b6b;\n",
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+       "  background-color: #fc9b7c;\n",
+       "  color: #000000;\n",
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+       "#T_035db_row7_col0 {\n",
+       "  background-color: #fcaa8d;\n",
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+       "#T_035db_row8_col0 {\n",
+       "  background-color: #fcb296;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row9_col0, #T_035db_row10_col0 {\n",
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+       "  background-color: #fedccd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row16_col0 {\n",
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+       "#T_035db_row17_col0, #T_035db_row18_col0 {\n",
+       "  background-color: #fee6da;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row19_col0 {\n",
+       "  background-color: #feeae0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row20_col0 {\n",
+       "  background-color: #ffeee6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row21_col0 {\n",
+       "  background-color: #fff2eb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_035db_row22_col0, #T_035db_row23_col0, #T_035db_row24_col0, #T_035db_row25_col0, #T_035db_row26_col0 {\n",
+       "  background-color: #fff5f0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_035db\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_035db_level0_col0\" class=\"col_heading level0 col0\" >0</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row0\" class=\"row_heading level0 row0\" >height(cm)</th>\n",
+       "      <td id=\"T_035db_row0_col0\" class=\"data row0 col0\" >43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row1\" class=\"row_heading level0 row1\" >triglyceride</th>\n",
+       "      <td id=\"T_035db_row1_col0\" class=\"data row1 col0\" >25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row2\" class=\"row_heading level0 row2\" >ALT</th>\n",
+       "      <td id=\"T_035db_row2_col0\" class=\"data row2 col0\" >22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row3\" class=\"row_heading level0 row3\" >systolic</th>\n",
+       "      <td id=\"T_035db_row3_col0\" class=\"data row3 col0\" >20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row4\" class=\"row_heading level0 row4\" >hearing(right)</th>\n",
+       "      <td id=\"T_035db_row4_col0\" class=\"data row4 col0\" >17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row5\" class=\"row_heading level0 row5\" >Cholesterol</th>\n",
+       "      <td id=\"T_035db_row5_col0\" class=\"data row5 col0\" >15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row6\" class=\"row_heading level0 row6\" >hemoglobin</th>\n",
+       "      <td id=\"T_035db_row6_col0\" class=\"data row6 col0\" >15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row7\" class=\"row_heading level0 row7\" >relaxation</th>\n",
+       "      <td id=\"T_035db_row7_col0\" class=\"data row7 col0\" >13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row8\" class=\"row_heading level0 row8\" >HDL</th>\n",
+       "      <td id=\"T_035db_row8_col0\" class=\"data row8 col0\" >12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row9\" class=\"row_heading level0 row9\" >fasting blood sugar</th>\n",
+       "      <td id=\"T_035db_row9_col0\" class=\"data row9 col0\" >11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row10\" class=\"row_heading level0 row10\" >LDL</th>\n",
+       "      <td id=\"T_035db_row10_col0\" class=\"data row10 col0\" >11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row11\" class=\"row_heading level0 row11\" >eyesight(right)</th>\n",
+       "      <td id=\"T_035db_row11_col0\" class=\"data row11 col0\" >10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row12\" class=\"row_heading level0 row12\" >Urine protein</th>\n",
+       "      <td id=\"T_035db_row12_col0\" class=\"data row12 col0\" >9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row13\" class=\"row_heading level0 row13\" >eyesight(left)</th>\n",
+       "      <td id=\"T_035db_row13_col0\" class=\"data row13 col0\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row14\" class=\"row_heading level0 row14\" >serum creatinine</th>\n",
+       "      <td id=\"T_035db_row14_col0\" class=\"data row14 col0\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row15\" class=\"row_heading level0 row15\" >AST</th>\n",
+       "      <td id=\"T_035db_row15_col0\" class=\"data row15 col0\" >6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row16\" class=\"row_heading level0 row16\" >hearing(left)</th>\n",
+       "      <td id=\"T_035db_row16_col0\" class=\"data row16 col0\" >5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row17\" class=\"row_heading level0 row17\" >waist(cm)</th>\n",
+       "      <td id=\"T_035db_row17_col0\" class=\"data row17 col0\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row18\" class=\"row_heading level0 row18\" >weight(kg)</th>\n",
+       "      <td id=\"T_035db_row18_col0\" class=\"data row18 col0\" >4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row19\" class=\"row_heading level0 row19\" >age</th>\n",
+       "      <td id=\"T_035db_row19_col0\" class=\"data row19 col0\" >3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row20\" class=\"row_heading level0 row20\" >oral</th>\n",
+       "      <td id=\"T_035db_row20_col0\" class=\"data row20 col0\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row21\" class=\"row_heading level0 row21\" >tartar</th>\n",
+       "      <td id=\"T_035db_row21_col0\" class=\"data row21 col0\" >1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row22\" class=\"row_heading level0 row22\" >dental caries</th>\n",
+       "      <td id=\"T_035db_row22_col0\" class=\"data row22 col0\" >0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row23\" class=\"row_heading level0 row23\" >ID</th>\n",
+       "      <td id=\"T_035db_row23_col0\" class=\"data row23 col0\" >0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row24\" class=\"row_heading level0 row24\" >Gtp</th>\n",
+       "      <td id=\"T_035db_row24_col0\" class=\"data row24 col0\" >0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row25\" class=\"row_heading level0 row25\" >gender</th>\n",
+       "      <td id=\"T_035db_row25_col0\" class=\"data row25 col0\" >0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_035db_level0_row26\" class=\"row_heading level0 row26\" >smoking</th>\n",
+       "      <td id=\"T_035db_row26_col0\" class=\"data row26 col0\" >0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x14bb469e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Displaying the missing values count at each cokumn/feature\n",
+    "display(pd.DataFrame(df.isna().sum().sort_values(ascending=False)).style.background_gradient(cmap='Reds'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 880x560 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting the missing values\n",
+    "missing_vals = df.isna().sum().sort_values(ascending=False)\n",
+    "missing_vals = missing_vals[missing_vals > 0]\n",
+    "# Sampling random colors for the plot\n",
+    "n = len(missing_vals)\n",
+    "all_colors=[x for x in plt.cm.colors.cnames.keys()]\n",
+    "random.seed(101)\n",
+    "c = random.choices(all_colors, k=n)\n",
+    "\n",
+    "# Plot Bars\n",
+    "plt.figure(figsize=(11,7), dpi= 80)\n",
+    "plt.bar(missing_vals.index, missing_vals, color=c, width=.5)\n",
+    "for i, val in enumerate(missing_vals.values):\n",
+    "    plt.text(i, val, float(val), horizontalalignment='center', verticalalignment='bottom', fontdict={'fontweight':500, 'size':12})\n",
+    "\n",
+    "# Decoration\n",
+    "plt.gca().set_xticklabels(missing_vals.index, rotation=60, horizontalalignment= 'right')\n",
+    "plt.title(\"Missing values per feature\", fontsize=22)\n",
+    "plt.ylabel('# of missing values', fontsize=18)\n",
+    "plt.ylim(0, 45)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total missing values :  260\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Checking for missing values\n",
+    "print(\"Total missing values : \",df.isna().sum().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.5836270174414689 % Out of the data is missing\n"
+     ]
+    }
+   ],
+   "source": [
+    "percentage_null = (df.isna().sum().sum()/len(df))*100\n",
+    "print(percentage_null,\"% Out of the data is missing\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#removing the null values\n",
+    "df.dropna(inplace = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  background-color: #f7fbff;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row0_col18, #T_a7c6e_row1_col13, #T_a7c6e_row3_col20, #T_a7c6e_row4_col18 {\n",
+       "  background-color: #f4f9fe;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row0_col19, #T_a7c6e_row1_col19, #T_a7c6e_row5_col19 {\n",
+       "  background-color: #f5fafe;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row0_col20 {\n",
+       "  background-color: #f0f6fd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row0_col22 {\n",
+       "  background-color: #a0cbe2;\n",
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+       "}\n",
+       "#T_a7c6e_row1_col3 {\n",
+       "  background-color: #c3daee;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col4, #T_a7c6e_row1_col5 {\n",
+       "  background-color: #eff6fc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col8, #T_a7c6e_row5_col4, #T_a7c6e_row5_col5 {\n",
+       "  background-color: #e1edf8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col12, #T_a7c6e_row3_col12 {\n",
+       "  background-color: #e3eef8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col14, #T_a7c6e_row5_col18 {\n",
+       "  background-color: #f3f8fe;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col17, #T_a7c6e_row3_col19, #T_a7c6e_row4_col19 {\n",
+       "  background-color: #f6faff;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col18, #T_a7c6e_row3_col18 {\n",
+       "  background-color: #f5f9fe;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col20, #T_a7c6e_row3_col14, #T_a7c6e_row5_col20 {\n",
+       "  background-color: #eef5fc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col21 {\n",
+       "  background-color: #91c3de;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row1_col22 {\n",
+       "  background-color: #72b2d8;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row2_col0, #T_a7c6e_row2_col16, #T_a7c6e_row3_col16, #T_a7c6e_row4_col16, #T_a7c6e_row5_col16 {\n",
+       "  background-color: #e2edf8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row2_col2, #T_a7c6e_row4_col12 {\n",
+       "  background-color: #dce9f6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row2_col6, #T_a7c6e_row2_col7, #T_a7c6e_row3_col6, #T_a7c6e_row3_col7, #T_a7c6e_row4_col6, #T_a7c6e_row4_col7, #T_a7c6e_row5_col6, #T_a7c6e_row5_col7 {\n",
+       "  background-color: #7db8da;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row2_col9, #T_a7c6e_row5_col8 {\n",
+       "  background-color: #ccdff1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row2_col11 {\n",
+       "  background-color: #e4eff9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row2_col15, #T_a7c6e_row3_col10 {\n",
+       "  background-color: #d6e5f4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col0, #T_a7c6e_row4_col0 {\n",
+       "  background-color: #9ac8e0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col1 {\n",
+       "  background-color: #105ba4;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row3_col2 {\n",
+       "  background-color: #a8cee4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col3 {\n",
+       "  background-color: #3585bf;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row3_col4, #T_a7c6e_row3_col5, #T_a7c6e_row5_col14 {\n",
+       "  background-color: #e9f2fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col8, #T_a7c6e_row5_col10 {\n",
+       "  background-color: #cfe1f2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col9 {\n",
+       "  background-color: #82bbdb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col11 {\n",
+       "  background-color: #a1cbe2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col13 {\n",
+       "  background-color: #eaf2fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row3_col15 {\n",
+       "  background-color: #4594c7;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row4_col10 {\n",
+       "  background-color: #d3e3f3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row4_col11 {\n",
+       "  background-color: #8abfdd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row4_col13 {\n",
+       "  background-color: #e7f0fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row4_col15 {\n",
+       "  background-color: #3484bf;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row4_col20 {\n",
+       "  background-color: #f2f8fd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row5_col0 {\n",
+       "  background-color: #4e9acb;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col1 {\n",
+       "  background-color: #084d96;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col2 {\n",
+       "  background-color: #68acd5;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col3 {\n",
+       "  background-color: #2171b5;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col9 {\n",
+       "  background-color: #61a7d2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col11 {\n",
+       "  background-color: #6fb0d7;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col12 {\n",
+       "  background-color: #d2e3f3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row5_col13 {\n",
+       "  background-color: #e3eef9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_a7c6e_row5_col15 {\n",
+       "  background-color: #2777b8;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_a7c6e_row5_col22, #T_a7c6e_row6_col0, #T_a7c6e_row6_col1, #T_a7c6e_row6_col2, #T_a7c6e_row6_col3, #T_a7c6e_row6_col4, #T_a7c6e_row6_col5, #T_a7c6e_row6_col6, #T_a7c6e_row6_col7, #T_a7c6e_row6_col8, #T_a7c6e_row6_col9, #T_a7c6e_row6_col10, #T_a7c6e_row6_col11, #T_a7c6e_row6_col12, #T_a7c6e_row6_col13, #T_a7c6e_row6_col14, #T_a7c6e_row6_col15, #T_a7c6e_row6_col16, #T_a7c6e_row6_col17, #T_a7c6e_row6_col18, #T_a7c6e_row6_col19, #T_a7c6e_row6_col20, #T_a7c6e_row6_col21, #T_a7c6e_row6_col22 {\n",
+       "  background-color: #08306b;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_a7c6e\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_a7c6e_level0_col0\" class=\"col_heading level0 col0\" >age</th>\n",
+       "      <th id=\"T_a7c6e_level0_col1\" class=\"col_heading level0 col1\" >height(cm)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col2\" class=\"col_heading level0 col2\" >weight(kg)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col3\" class=\"col_heading level0 col3\" >waist(cm)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col4\" class=\"col_heading level0 col4\" >eyesight(left)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col5\" class=\"col_heading level0 col5\" >eyesight(right)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col6\" class=\"col_heading level0 col6\" >hearing(left)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col7\" class=\"col_heading level0 col7\" >hearing(right)</th>\n",
+       "      <th id=\"T_a7c6e_level0_col8\" class=\"col_heading level0 col8\" >systolic</th>\n",
+       "      <th id=\"T_a7c6e_level0_col9\" class=\"col_heading level0 col9\" >relaxation</th>\n",
+       "      <th id=\"T_a7c6e_level0_col10\" class=\"col_heading level0 col10\" >fasting blood sugar</th>\n",
+       "      <th id=\"T_a7c6e_level0_col11\" class=\"col_heading level0 col11\" >Cholesterol</th>\n",
+       "      <th id=\"T_a7c6e_level0_col12\" class=\"col_heading level0 col12\" >triglyceride</th>\n",
+       "      <th id=\"T_a7c6e_level0_col13\" class=\"col_heading level0 col13\" >HDL</th>\n",
+       "      <th id=\"T_a7c6e_level0_col14\" class=\"col_heading level0 col14\" >LDL</th>\n",
+       "      <th id=\"T_a7c6e_level0_col15\" class=\"col_heading level0 col15\" >hemoglobin</th>\n",
+       "      <th id=\"T_a7c6e_level0_col16\" class=\"col_heading level0 col16\" >Urine protein</th>\n",
+       "      <th id=\"T_a7c6e_level0_col17\" class=\"col_heading level0 col17\" >serum creatinine</th>\n",
+       "      <th id=\"T_a7c6e_level0_col18\" class=\"col_heading level0 col18\" >AST</th>\n",
+       "      <th id=\"T_a7c6e_level0_col19\" class=\"col_heading level0 col19\" >ALT</th>\n",
+       "      <th id=\"T_a7c6e_level0_col20\" class=\"col_heading level0 col20\" >Gtp</th>\n",
+       "      <th id=\"T_a7c6e_level0_col21\" class=\"col_heading level0 col21\" >dental caries</th>\n",
+       "      <th id=\"T_a7c6e_level0_col22\" class=\"col_heading level0 col22\" >smoking</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row0\" class=\"row_heading level0 row0\" >mean</th>\n",
+       "      <td id=\"T_a7c6e_row0_col0\" class=\"data row0 col0\" >44.173326</td>\n",
+       "      <td id=\"T_a7c6e_row0_col1\" class=\"data row0 col1\" >164.666179</td>\n",
+       "      <td id=\"T_a7c6e_row0_col2\" class=\"data row0 col2\" >65.891840</td>\n",
+       "      <td id=\"T_a7c6e_row0_col3\" class=\"data row0 col3\" >82.037549</td>\n",
+       "      <td id=\"T_a7c6e_row0_col4\" class=\"data row0 col4\" >1.013231</td>\n",
+       "      <td id=\"T_a7c6e_row0_col5\" class=\"data row0 col5\" >1.009688</td>\n",
+       "      <td id=\"T_a7c6e_row0_col6\" class=\"data row0 col6\" >1.025729</td>\n",
+       "      <td id=\"T_a7c6e_row0_col7\" class=\"data row0 col7\" >1.026494</td>\n",
+       "      <td id=\"T_a7c6e_row0_col8\" class=\"data row0 col8\" >121.522881</td>\n",
+       "      <td id=\"T_a7c6e_row0_col9\" class=\"data row0 col9\" >76.007608</td>\n",
+       "      <td id=\"T_a7c6e_row0_col10\" class=\"data row0 col10\" >99.349375</td>\n",
+       "      <td id=\"T_a7c6e_row0_col11\" class=\"data row0 col11\" >196.737243</td>\n",
+       "      <td id=\"T_a7c6e_row0_col12\" class=\"data row0 col12\" >126.560045</td>\n",
+       "      <td id=\"T_a7c6e_row0_col13\" class=\"data row0 col13\" >57.278875</td>\n",
+       "      <td id=\"T_a7c6e_row0_col14\" class=\"data row0 col14\" >114.838672</td>\n",
+       "      <td id=\"T_a7c6e_row0_col15\" class=\"data row0 col15\" >14.620610</td>\n",
+       "      <td id=\"T_a7c6e_row0_col16\" class=\"data row0 col16\" >1.086145</td>\n",
+       "      <td id=\"T_a7c6e_row0_col17\" class=\"data row0 col17\" >0.907586</td>\n",
+       "      <td id=\"T_a7c6e_row0_col18\" class=\"data row0 col18\" >26.179651</td>\n",
+       "      <td id=\"T_a7c6e_row0_col19\" class=\"data row0 col19\" >27.032347</td>\n",
+       "      <td id=\"T_a7c6e_row0_col20\" class=\"data row0 col20\" >39.927428</td>\n",
+       "      <td id=\"T_a7c6e_row0_col21\" class=\"data row0 col21\" >0.213708</td>\n",
+       "      <td id=\"T_a7c6e_row0_col22\" class=\"data row0 col22\" >0.367428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row1\" class=\"row_heading level0 row1\" >std</th>\n",
+       "      <td id=\"T_a7c6e_row1_col0\" class=\"data row1 col0\" >12.075602</td>\n",
+       "      <td id=\"T_a7c6e_row1_col1\" class=\"data row1 col1\" >9.184391</td>\n",
+       "      <td id=\"T_a7c6e_row1_col2\" class=\"data row1 col2\" >12.842170</td>\n",
+       "      <td id=\"T_a7c6e_row1_col3\" class=\"data row1 col3\" >9.293766</td>\n",
+       "      <td id=\"T_a7c6e_row1_col4\" class=\"data row1 col4\" >0.486634</td>\n",
+       "      <td id=\"T_a7c6e_row1_col5\" class=\"data row1 col5\" >0.494527</td>\n",
+       "      <td id=\"T_a7c6e_row1_col6\" class=\"data row1 col6\" >0.158327</td>\n",
+       "      <td id=\"T_a7c6e_row1_col7\" class=\"data row1 col7\" >0.160601</td>\n",
+       "      <td id=\"T_a7c6e_row1_col8\" class=\"data row1 col8\" >14.272444</td>\n",
+       "      <td id=\"T_a7c6e_row1_col9\" class=\"data row1 col9\" >9.680102</td>\n",
+       "      <td id=\"T_a7c6e_row1_col10\" class=\"data row1 col10\" >20.967344</td>\n",
+       "      <td id=\"T_a7c6e_row1_col11\" class=\"data row1 col11\" >36.152933</td>\n",
+       "      <td id=\"T_a7c6e_row1_col12\" class=\"data row1 col12\" >71.658976</td>\n",
+       "      <td id=\"T_a7c6e_row1_col13\" class=\"data row1 col13\" >14.784625</td>\n",
+       "      <td id=\"T_a7c6e_row1_col14\" class=\"data row1 col14\" >41.097297</td>\n",
+       "      <td id=\"T_a7c6e_row1_col15\" class=\"data row1 col15\" >1.567857</td>\n",
+       "      <td id=\"T_a7c6e_row1_col16\" class=\"data row1 col16\" >0.402118</td>\n",
+       "      <td id=\"T_a7c6e_row1_col17\" class=\"data row1 col17\" >4.740143</td>\n",
+       "      <td id=\"T_a7c6e_row1_col18\" class=\"data row1 col18\" >19.294221</td>\n",
+       "      <td id=\"T_a7c6e_row1_col19\" class=\"data row1 col19\" >31.222037</td>\n",
+       "      <td id=\"T_a7c6e_row1_col20\" class=\"data row1 col20\" >49.999592</td>\n",
+       "      <td id=\"T_a7c6e_row1_col21\" class=\"data row1 col21\" >0.409928</td>\n",
+       "      <td id=\"T_a7c6e_row1_col22\" class=\"data row1 col22\" >0.482110</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row2\" class=\"row_heading level0 row2\" >min</th>\n",
+       "      <td id=\"T_a7c6e_row2_col0\" class=\"data row2 col0\" >20.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col1\" class=\"data row2 col1\" >130.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col2\" class=\"data row2 col2\" >30.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col3\" class=\"data row2 col3\" >-33.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col4\" class=\"data row2 col4\" >0.100000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col5\" class=\"data row2 col5\" >0.100000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col6\" class=\"data row2 col6\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col7\" class=\"data row2 col7\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col8\" class=\"data row2 col8\" >-102.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col9\" class=\"data row2 col9\" >40.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col10\" class=\"data row2 col10\" >46.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col11\" class=\"data row2 col11\" >72.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col12\" class=\"data row2 col12\" >-35.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col13\" class=\"data row2 col13\" >4.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col14\" class=\"data row2 col14\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col15\" class=\"data row2 col15\" >4.900000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col16\" class=\"data row2 col16\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col17\" class=\"data row2 col17\" >0.100000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col18\" class=\"data row2 col18\" >6.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col19\" class=\"data row2 col19\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col20\" class=\"data row2 col20\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col21\" class=\"data row2 col21\" >0.000000</td>\n",
+       "      <td id=\"T_a7c6e_row2_col22\" class=\"data row2 col22\" >0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row3\" class=\"row_heading level0 row3\" >25%</th>\n",
+       "      <td id=\"T_a7c6e_row3_col0\" class=\"data row3 col0\" >40.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col1\" class=\"data row3 col1\" >160.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col2\" class=\"data row3 col2\" >55.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col3\" class=\"data row3 col3\" >76.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col4\" class=\"data row3 col4\" >0.800000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col5\" class=\"data row3 col5\" >0.800000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col6\" class=\"data row3 col6\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col7\" class=\"data row3 col7\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col8\" class=\"data row3 col8\" >112.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col9\" class=\"data row3 col9\" >70.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col10\" class=\"data row3 col10\" >89.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col11\" class=\"data row3 col11\" >172.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col12\" class=\"data row3 col12\" >74.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col13\" class=\"data row3 col13\" >47.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col14\" class=\"data row3 col14\" >92.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col15\" class=\"data row3 col15\" >13.600000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col16\" class=\"data row3 col16\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col17\" class=\"data row3 col17\" >0.800000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col18\" class=\"data row3 col18\" >19.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col19\" class=\"data row3 col19\" >15.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col20\" class=\"data row3 col20\" >17.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col21\" class=\"data row3 col21\" >0.000000</td>\n",
+       "      <td id=\"T_a7c6e_row3_col22\" class=\"data row3 col22\" >0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row4\" class=\"row_heading level0 row4\" >50%</th>\n",
+       "      <td id=\"T_a7c6e_row4_col0\" class=\"data row4 col0\" >40.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col1\" class=\"data row4 col1\" >165.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col2\" class=\"data row4 col2\" >65.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col3\" class=\"data row4 col3\" >82.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col5\" class=\"data row4 col5\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col6\" class=\"data row4 col6\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col7\" class=\"data row4 col7\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col8\" class=\"data row4 col8\" >120.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col9\" class=\"data row4 col9\" >76.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col10\" class=\"data row4 col10\" >96.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col11\" class=\"data row4 col11\" >195.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col12\" class=\"data row4 col12\" >108.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col13\" class=\"data row4 col13\" >55.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col14\" class=\"data row4 col14\" >113.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col15\" class=\"data row4 col15\" >14.800000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col16\" class=\"data row4 col16\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col17\" class=\"data row4 col17\" >0.900000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col18\" class=\"data row4 col18\" >23.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col19\" class=\"data row4 col19\" >21.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col20\" class=\"data row4 col20\" >25.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col21\" class=\"data row4 col21\" >0.000000</td>\n",
+       "      <td id=\"T_a7c6e_row4_col22\" class=\"data row4 col22\" >0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row5\" class=\"row_heading level0 row5\" >75%</th>\n",
+       "      <td id=\"T_a7c6e_row5_col0\" class=\"data row5 col0\" >55.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col1\" class=\"data row5 col1\" >170.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col2\" class=\"data row5 col2\" >75.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col3\" class=\"data row5 col3\" >88.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col4\" class=\"data row5 col4\" >1.200000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col5\" class=\"data row5 col5\" >1.200000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col6\" class=\"data row5 col6\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col7\" class=\"data row5 col7\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col8\" class=\"data row5 col8\" >130.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col9\" class=\"data row5 col9\" >82.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col10\" class=\"data row5 col10\" >104.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col11\" class=\"data row5 col11\" >219.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col12\" class=\"data row5 col12\" >160.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col13\" class=\"data row5 col13\" >66.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col14\" class=\"data row5 col14\" >135.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col15\" class=\"data row5 col15\" >15.700000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col16\" class=\"data row5 col16\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col17\" class=\"data row5 col17\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col18\" class=\"data row5 col18\" >28.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col19\" class=\"data row5 col19\" >31.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col20\" class=\"data row5 col20\" >44.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col21\" class=\"data row5 col21\" >0.000000</td>\n",
+       "      <td id=\"T_a7c6e_row5_col22\" class=\"data row5 col22\" >1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_a7c6e_level0_row6\" class=\"row_heading level0 row6\" >max</th>\n",
+       "      <td id=\"T_a7c6e_row6_col0\" class=\"data row6 col0\" >85.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col1\" class=\"data row6 col1\" >190.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col2\" class=\"data row6 col2\" >135.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col3\" class=\"data row6 col3\" >129.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col4\" class=\"data row6 col4\" >9.900000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col5\" class=\"data row6 col5\" >9.900000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col6\" class=\"data row6 col6\" >2.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col7\" class=\"data row6 col7\" >2.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col8\" class=\"data row6 col8\" >949.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col9\" class=\"data row6 col9\" >146.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col10\" class=\"data row6 col10\" >423.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col11\" class=\"data row6 col11\" >410.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col12\" class=\"data row6 col12\" >999.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col13\" class=\"data row6 col13\" >618.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col14\" class=\"data row6 col14\" >1860.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col15\" class=\"data row6 col15\" >21.100000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col16\" class=\"data row6 col16\" >6.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col17\" class=\"data row6 col17\" >999.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col18\" class=\"data row6 col18\" >1090.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col19\" class=\"data row6 col19\" >2914.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col20\" class=\"data row6 col20\" >999.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col21\" class=\"data row6 col21\" >1.000000</td>\n",
+       "      <td id=\"T_a7c6e_row6_col22\" class=\"data row6 col22\" >1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x14ad846d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Basic statistics of the data\n",
+    "display(df.drop(columns = [\"ID\"]).describe().loc[[\"mean\",\"std\",\"min\",\"25%\",\"50%\",\"75%\",\"max\"]].style.background_gradient(cmap='Blues'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Removing all unreasonable values - removing the entire tuple if one of the values is unreasonable\n",
+    "# Fixing systolic values (there were negative values and values above 250)\n",
+    "df = df[(df[\"systolic\"]> 0) & (df[\"systolic\"]< 250)]\n",
+    "# Fixing fasting blood sugar values (there were values above 400 )\n",
+    "df = df[(df[\"fasting blood sugar\"]> 0) & (df[\"fasting blood sugar\"]< 200)]\n",
+    "# Fixing triglyceride values (there were values above 500 )\n",
+    "df = df[(df[\"triglyceride\"]> 0) & (df[\"triglyceride\"]< 500)]\n",
+    "# Fixing HDL cholesterol values (there were values above 300 )\n",
+    "df = df[(df[\"HDL\"]> 10) & (df[\"HDL\"]< 300)]\n",
+    "# Fixing LDL cholesterol values (there were values above 1800 )\n",
+    "df = df[(df[\"LDL\"]> 0) & (df[\"LDL\"]< 300)]\n",
+    "# Fixing serum creatinine values (there were values above 1.5 )\n",
+    "df = df[(df[\"serum creatinine\"]> 0) & (df[\"serum creatinine\"]< 1.5)]\n",
+    "# Fixing AST values (there were values above 50 )\n",
+    "df = df[(df[\"AST\"]> 0) & (df[\"AST\"]< 50)]\n",
+    "# Fixing ALT values (there were values above 100 )\n",
+    "df = df[(df[\"ALT\"]> 0) & (df[\"ALT\"]< 100)]\n",
+    "# Fixing Gtp values (there were values above 100 )\n",
+    "df = df[(df[\"Gtp\"]> 0) & (df[\"Gtp\"]< 100)]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 40096 entries, 1 to 44552\n",
+      "Data columns (total 27 columns):\n",
+      " #   Column               Non-Null Count  Dtype  \n",
+      "---  ------               --------------  -----  \n",
+      " 0   ID                   40096 non-null  int64  \n",
+      " 1   gender               40096 non-null  object \n",
+      " 2   age                  40096 non-null  float64\n",
+      " 3   height(cm)           40096 non-null  float64\n",
+      " 4   weight(kg)           40096 non-null  float64\n",
+      " 5   waist(cm)            40096 non-null  float64\n",
+      " 6   eyesight(left)       40096 non-null  float64\n",
+      " 7   eyesight(right)      40096 non-null  float64\n",
+      " 8   hearing(left)        40096 non-null  float64\n",
+      " 9   hearing(right)       40096 non-null  float64\n",
+      " 10  systolic             40096 non-null  float64\n",
+      " 11  relaxation           40096 non-null  float64\n",
+      " 12  fasting blood sugar  40096 non-null  float64\n",
+      " 13  Cholesterol          40096 non-null  float64\n",
+      " 14  triglyceride         40096 non-null  float64\n",
+      " 15  HDL                  40096 non-null  float64\n",
+      " 16  LDL                  40096 non-null  float64\n",
+      " 17  hemoglobin           40096 non-null  float64\n",
+      " 18  Urine protein        40096 non-null  float64\n",
+      " 19  serum creatinine     40096 non-null  float64\n",
+      " 20  AST                  40096 non-null  float64\n",
+      " 21  ALT                  40096 non-null  float64\n",
+      " 22  Gtp                  40096 non-null  int64  \n",
+      " 23  oral                 40096 non-null  object \n",
+      " 24  dental caries        40096 non-null  int64  \n",
+      " 25  tartar               40096 non-null  object \n",
+      " 26  smoking              40096 non-null  int64  \n",
+      "dtypes: float64(20), int64(4), object(3)\n",
+      "memory usage: 8.6+ MB\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "None"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(df.info())\n",
+    "# object values urine protein,waist(cm) that shold be float/int but identified as object\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_b0e58_row0_col0, #T_b0e58_row1_col1, #T_b0e58_row2_col2, #T_b0e58_row3_col3, #T_b0e58_row4_col4, #T_b0e58_row5_col5, #T_b0e58_row6_col6, #T_b0e58_row7_col7, #T_b0e58_row8_col8, #T_b0e58_row9_col9, #T_b0e58_row10_col10, #T_b0e58_row11_col11, #T_b0e58_row12_col12, #T_b0e58_row13_col13, #T_b0e58_row14_col14, #T_b0e58_row15_col15, #T_b0e58_row16_col16, #T_b0e58_row17_col17, #T_b0e58_row18_col18, #T_b0e58_row19_col19, #T_b0e58_row20_col20 {\n",
+       "  background-color: #00441b;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row0_col1, #T_b0e58_row0_col2 {\n",
+       "  background-color: #ade0d4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col3, #T_b0e58_row1_col6, #T_b0e58_row17_col13 {\n",
+       "  background-color: #c7eae3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col4, #T_b0e58_row2_col20, #T_b0e58_row12_col5 {\n",
+       "  background-color: #dbf2f2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col5, #T_b0e58_row9_col11, #T_b0e58_row15_col20, #T_b0e58_row16_col5, #T_b0e58_row20_col4 {\n",
+       "  background-color: #def2f4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col6, #T_b0e58_row0_col8, #T_b0e58_row12_col6, #T_b0e58_row12_col14, #T_b0e58_row16_col9, #T_b0e58_row20_col11 {\n",
+       "  background-color: #ecf8fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col7, #T_b0e58_row0_col11, #T_b0e58_row4_col10, #T_b0e58_row4_col11, #T_b0e58_row5_col10, #T_b0e58_row12_col7, #T_b0e58_row16_col6, #T_b0e58_row16_col7, #T_b0e58_row16_col8, #T_b0e58_row18_col6, #T_b0e58_row18_col7 {\n",
+       "  background-color: #edf8fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col9, #T_b0e58_row2_col17, #T_b0e58_row9_col6, #T_b0e58_row9_col7, #T_b0e58_row13_col20, #T_b0e58_row16_col11, #T_b0e58_row17_col7, #T_b0e58_row18_col14 {\n",
+       "  background-color: #ecf8fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col10, #T_b0e58_row3_col1, #T_b0e58_row4_col20, #T_b0e58_row10_col17, #T_b0e58_row11_col20, #T_b0e58_row14_col20, #T_b0e58_row16_col10, #T_b0e58_row20_col9, #T_b0e58_row20_col10 {\n",
+       "  background-color: #e8f6fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col12, #T_b0e58_row2_col5, #T_b0e58_row14_col2, #T_b0e58_row14_col3, #T_b0e58_row15_col18, #T_b0e58_row16_col12 {\n",
+       "  background-color: #bce6dd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col13, #T_b0e58_row2_col4, #T_b0e58_row7_col12, #T_b0e58_row10_col15 {\n",
+       "  background-color: #bde6de;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col14, #T_b0e58_row0_col19, #T_b0e58_row7_col11, #T_b0e58_row11_col6, #T_b0e58_row11_col7, #T_b0e58_row15_col6, #T_b0e58_row15_col7, #T_b0e58_row17_col14, #T_b0e58_row20_col14, #T_b0e58_row20_col17 {\n",
+       "  background-color: #f0f9fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col15, #T_b0e58_row8_col19, #T_b0e58_row9_col18 {\n",
+       "  background-color: #d4efec;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col16, #T_b0e58_row1_col0, #T_b0e58_row1_col16, #T_b0e58_row2_col0, #T_b0e58_row2_col14, #T_b0e58_row3_col0, #T_b0e58_row4_col16, #T_b0e58_row5_col0, #T_b0e58_row6_col0, #T_b0e58_row6_col16, #T_b0e58_row7_col16, #T_b0e58_row8_col0, #T_b0e58_row9_col0, #T_b0e58_row9_col16, #T_b0e58_row10_col0, #T_b0e58_row10_col16, #T_b0e58_row12_col0, #T_b0e58_row12_col16, #T_b0e58_row14_col0, #T_b0e58_row15_col0, #T_b0e58_row17_col0, #T_b0e58_row17_col16, #T_b0e58_row18_col16, #T_b0e58_row19_col0, #T_b0e58_row19_col16, #T_b0e58_row20_col0 {\n",
+       "  background-color: #f6fcfd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col17, #T_b0e58_row3_col13, #T_b0e58_row4_col6, #T_b0e58_row5_col6, #T_b0e58_row6_col14, #T_b0e58_row7_col14, #T_b0e58_row10_col14, #T_b0e58_row16_col17 {\n",
+       "  background-color: #f2fafc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col18, #T_b0e58_row5_col20, #T_b0e58_row6_col18, #T_b0e58_row7_col18, #T_b0e58_row8_col17, #T_b0e58_row10_col6, #T_b0e58_row10_col7, #T_b0e58_row11_col10, #T_b0e58_row14_col9, #T_b0e58_row16_col18, #T_b0e58_row16_col20, #T_b0e58_row17_col20 {\n",
+       "  background-color: #e7f6f9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row0_col20, #T_b0e58_row3_col11, #T_b0e58_row10_col20, #T_b0e58_row15_col14, #T_b0e58_row17_col11, #T_b0e58_row20_col8 {\n",
+       "  background-color: #e9f7fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col2, #T_b0e58_row1_col4, #T_b0e58_row1_col5, #T_b0e58_row1_col15, #T_b0e58_row1_col20, #T_b0e58_row2_col1, #T_b0e58_row2_col6, #T_b0e58_row2_col7, #T_b0e58_row2_col11, #T_b0e58_row7_col0, #T_b0e58_row8_col16, #T_b0e58_row11_col0, #T_b0e58_row12_col13, #T_b0e58_row13_col0, #T_b0e58_row13_col3, #T_b0e58_row13_col8, #T_b0e58_row13_col9, #T_b0e58_row13_col10, #T_b0e58_row13_col12, #T_b0e58_row13_col14, #T_b0e58_row13_col16, #T_b0e58_row13_col17, #T_b0e58_row13_col18, #T_b0e58_row13_col19, #T_b0e58_row16_col0, #T_b0e58_row18_col0 {\n",
+       "  background-color: #f7fcfd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col3, #T_b0e58_row2_col16, #T_b0e58_row3_col6, #T_b0e58_row3_col7, #T_b0e58_row15_col16 {\n",
+       "  background-color: #f4fbfc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col7, #T_b0e58_row1_col10, #T_b0e58_row12_col18, #T_b0e58_row15_col19 {\n",
+       "  background-color: #c5e9e2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col8, #T_b0e58_row5_col1, #T_b0e58_row15_col10, #T_b0e58_row18_col13 {\n",
+       "  background-color: #d7f0ee;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col9, #T_b0e58_row1_col11, #T_b0e58_row2_col10, #T_b0e58_row6_col4, #T_b0e58_row6_col5, #T_b0e58_row6_col8, #T_b0e58_row7_col4, #T_b0e58_row7_col8, #T_b0e58_row8_col6, #T_b0e58_row8_col11, #T_b0e58_row8_col20, #T_b0e58_row9_col20, #T_b0e58_row10_col4, #T_b0e58_row10_col5, #T_b0e58_row11_col8, #T_b0e58_row12_col20, #T_b0e58_row15_col13, #T_b0e58_row18_col11, #T_b0e58_row18_col20 {\n",
+       "  background-color: #e5f5f9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col12, #T_b0e58_row4_col12, #T_b0e58_row5_col12, #T_b0e58_row12_col11, #T_b0e58_row17_col15 {\n",
+       "  background-color: #b7e4da;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col13 {\n",
+       "  background-color: #b8e4db;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col14, #T_b0e58_row5_col9 {\n",
+       "  background-color: #eaf7fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col17, #T_b0e58_row1_col19, #T_b0e58_row5_col11, #T_b0e58_row5_col19, #T_b0e58_row6_col19, #T_b0e58_row8_col14, #T_b0e58_row11_col17 {\n",
+       "  background-color: #eef8fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row1_col18, #T_b0e58_row4_col8, #T_b0e58_row4_col19, #T_b0e58_row5_col8, #T_b0e58_row6_col11, #T_b0e58_row7_col19, #T_b0e58_row13_col6, #T_b0e58_row13_col7, #T_b0e58_row14_col6, #T_b0e58_row14_col7, #T_b0e58_row16_col14, #T_b0e58_row16_col19, #T_b0e58_row20_col6, #T_b0e58_row20_col7 {\n",
+       "  background-color: #eff9fb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col3 {\n",
+       "  background-color: #1f8742;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row2_col8, #T_b0e58_row11_col5, #T_b0e58_row13_col4, #T_b0e58_row15_col17, #T_b0e58_row17_col8, #T_b0e58_row19_col11 {\n",
+       "  background-color: #e0f3f5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col9, #T_b0e58_row4_col1, #T_b0e58_row8_col18, #T_b0e58_row10_col18 {\n",
+       "  background-color: #d8f0ef;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col12, #T_b0e58_row9_col2 {\n",
+       "  background-color: #8dd3c0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col13, #T_b0e58_row13_col5, #T_b0e58_row20_col18 {\n",
+       "  background-color: #e3f4f7;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col15 {\n",
+       "  background-color: #3fab72;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row2_col18, #T_b0e58_row3_col10, #T_b0e58_row9_col13, #T_b0e58_row10_col8, #T_b0e58_row10_col19, #T_b0e58_row19_col8 {\n",
+       "  background-color: #d1eee9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row2_col19, #T_b0e58_row6_col15, #T_b0e58_row7_col15, #T_b0e58_row18_col10 {\n",
+       "  background-color: #d9f1f0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col2 {\n",
+       "  background-color: #19833e;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row3_col4, #T_b0e58_row3_col5, #T_b0e58_row3_col19, #T_b0e58_row12_col8, #T_b0e58_row14_col13, #T_b0e58_row19_col13 {\n",
+       "  background-color: #ccece6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col8, #T_b0e58_row14_col12, #T_b0e58_row20_col12 {\n",
+       "  background-color: #b4e2d8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col9, #T_b0e58_row12_col1, #T_b0e58_row19_col1 {\n",
+       "  background-color: #aadfd3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col12 {\n",
+       "  background-color: #60bf9c;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col14, #T_b0e58_row4_col9, #T_b0e58_row6_col9, #T_b0e58_row6_col20, #T_b0e58_row7_col9, #T_b0e58_row7_col20, #T_b0e58_row9_col14, #T_b0e58_row10_col11, #T_b0e58_row14_col8, #T_b0e58_row14_col10, #T_b0e58_row17_col6, #T_b0e58_row19_col6, #T_b0e58_row19_col7, #T_b0e58_row20_col19 {\n",
+       "  background-color: #ebf7fa;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col15 {\n",
+       "  background-color: #4ab381;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row3_col16, #T_b0e58_row4_col0, #T_b0e58_row13_col15, #T_b0e58_row20_col16 {\n",
+       "  background-color: #f5fbfc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col17, #T_b0e58_row14_col5, #T_b0e58_row17_col4, #T_b0e58_row17_col5 {\n",
+       "  background-color: #dff3f5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col18, #T_b0e58_row10_col2, #T_b0e58_row12_col19, #T_b0e58_row16_col2 {\n",
+       "  background-color: #a8ded2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row3_col20, #T_b0e58_row9_col5, #T_b0e58_row11_col9, #T_b0e58_row19_col5, #T_b0e58_row20_col5 {\n",
+       "  background-color: #dcf2f2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col2, #T_b0e58_row8_col12 {\n",
+       "  background-color: #84cfb9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col3 {\n",
+       "  background-color: #a7ddd1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col5 {\n",
+       "  background-color: #77c9b0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col7, #T_b0e58_row4_col17, #T_b0e58_row5_col7, #T_b0e58_row5_col17 {\n",
+       "  background-color: #f3fafc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col13, #T_b0e58_row6_col13, #T_b0e58_row7_col13, #T_b0e58_row12_col9, #T_b0e58_row18_col1 {\n",
+       "  background-color: #c0e7df;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col14, #T_b0e58_row5_col14, #T_b0e58_row6_col17, #T_b0e58_row7_col17, #T_b0e58_row14_col17, #T_b0e58_row14_col19, #T_b0e58_row19_col14 {\n",
+       "  background-color: #f1fafc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col15, #T_b0e58_row5_col15, #T_b0e58_row11_col3, #T_b0e58_row16_col13 {\n",
+       "  background-color: #bfe7de;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row4_col18, #T_b0e58_row11_col19, #T_b0e58_row15_col11 {\n",
+       "  background-color: #e4f5f8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col2, #T_b0e58_row12_col2 {\n",
+       "  background-color: #82ceb8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col3, #T_b0e58_row17_col1 {\n",
+       "  background-color: #a5ddd0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col4, #T_b0e58_row6_col1, #T_b0e58_row9_col3 {\n",
+       "  background-color: #75c9af;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col13, #T_b0e58_row20_col13 {\n",
+       "  background-color: #c2e8e0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col16, #T_b0e58_row11_col16, #T_b0e58_row14_col16 {\n",
+       "  background-color: #f5fbfd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row5_col18, #T_b0e58_row12_col17, #T_b0e58_row19_col20 {\n",
+       "  background-color: #e3f4f8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row6_col2, #T_b0e58_row7_col2, #T_b0e58_row11_col2, #T_b0e58_row16_col3, #T_b0e58_row19_col10 {\n",
+       "  background-color: #c4e9e1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row6_col3, #T_b0e58_row7_col3, #T_b0e58_row9_col19 {\n",
+       "  background-color: #d1eeea;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row6_col7, #T_b0e58_row7_col6 {\n",
+       "  background-color: #56ba91;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row6_col10, #T_b0e58_row7_col10, #T_b0e58_row14_col18 {\n",
+       "  background-color: #e2f4f7;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row6_col12, #T_b0e58_row15_col9 {\n",
+       "  background-color: #bae5dc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row7_col1, #T_b0e58_row11_col12 {\n",
+       "  background-color: #74c8ae;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row7_col5, #T_b0e58_row8_col7, #T_b0e58_row9_col17 {\n",
+       "  background-color: #e6f5f9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col1, #T_b0e58_row17_col19, #T_b0e58_row19_col3, #T_b0e58_row19_col18 {\n",
+       "  background-color: #88d1bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col2, #T_b0e58_row20_col2 {\n",
+       "  background-color: #98d8c9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col3 {\n",
+       "  background-color: #7acbb3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col4, #T_b0e58_row8_col5, #T_b0e58_row15_col1 {\n",
+       "  background-color: #e1f4f6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col9, #T_b0e58_row9_col8 {\n",
+       "  background-color: #228a44;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row8_col10, #T_b0e58_row11_col15 {\n",
+       "  background-color: #caebe5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col13, #T_b0e58_row13_col11 {\n",
+       "  background-color: #d0ede9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row8_col15 {\n",
+       "  background-color: #a4dccf;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row9_col1 {\n",
+       "  background-color: #a0dbcd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row9_col4, #T_b0e58_row16_col4, #T_b0e58_row17_col10, #T_b0e58_row19_col4 {\n",
+       "  background-color: #ddf2f3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row9_col10, #T_b0e58_row15_col4, #T_b0e58_row15_col8 {\n",
+       "  background-color: #ceede8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row9_col12, #T_b0e58_row10_col1, #T_b0e58_row18_col3 {\n",
+       "  background-color: #7ccbb4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row9_col15 {\n",
+       "  background-color: #92d5c4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row10_col3, #T_b0e58_row11_col1, #T_b0e58_row18_col15 {\n",
+       "  background-color: #9ddacb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row10_col9, #T_b0e58_row16_col15 {\n",
+       "  background-color: #d3eeeb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row10_col12 {\n",
+       "  background-color: #78cab1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row10_col13 {\n",
+       "  background-color: #d5efed;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row11_col4, #T_b0e58_row11_col18, #T_b0e58_row14_col4, #T_b0e58_row17_col9, #T_b0e58_row18_col8 {\n",
+       "  background-color: #dff3f4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row11_col13, #T_b0e58_row18_col2, #T_b0e58_row18_col12 {\n",
+       "  background-color: #8ad2be;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row11_col14 {\n",
+       "  background-color: #238b45;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row12_col3 {\n",
+       "  background-color: #65c2a3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row12_col4, #T_b0e58_row18_col4, #T_b0e58_row18_col5, #T_b0e58_row18_col9 {\n",
+       "  background-color: #dbf1f1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row12_col10 {\n",
+       "  background-color: #b2e2d7;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row12_col15 {\n",
+       "  background-color: #85cfbb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row13_col1 {\n",
+       "  background-color: #acdfd4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row13_col2 {\n",
+       "  background-color: #daf1f1;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row14_col1, #T_b0e58_row17_col2, #T_b0e58_row17_col3 {\n",
+       "  background-color: #a2dcce;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row14_col11 {\n",
+       "  background-color: #218944;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row14_col15, #T_b0e58_row19_col9, #T_b0e58_row20_col1 {\n",
+       "  background-color: #cdece6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row15_col2 {\n",
+       "  background-color: #319c5c;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row15_col3 {\n",
+       "  background-color: #41ae77;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row15_col5 {\n",
+       "  background-color: #cfede8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row15_col12 {\n",
+       "  background-color: #6cc4a8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row16_col1 {\n",
+       "  background-color: #afe1d5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row17_col12 {\n",
+       "  background-color: #9fdacc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row17_col18 {\n",
+       "  background-color: #258d48;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row18_col17 {\n",
+       "  background-color: #2b9452;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_b0e58_row18_col19 {\n",
+       "  background-color: #9ad8ca;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row19_col2 {\n",
+       "  background-color: #87d0bc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row19_col12 {\n",
+       "  background-color: #64c1a2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row19_col15 {\n",
+       "  background-color: #95d6c6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row19_col17 {\n",
+       "  background-color: #8cd2bf;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row20_col3 {\n",
+       "  background-color: #b0e1d6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_b0e58_row20_col15 {\n",
+       "  background-color: #c8ebe4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_b0e58\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_b0e58_level0_col0\" class=\"col_heading level0 col0\" >ID</th>\n",
+       "      <th id=\"T_b0e58_level0_col1\" class=\"col_heading level0 col1\" >age</th>\n",
+       "      <th id=\"T_b0e58_level0_col2\" class=\"col_heading level0 col2\" >height(cm)</th>\n",
+       "      <th id=\"T_b0e58_level0_col3\" class=\"col_heading level0 col3\" >weight(kg)</th>\n",
+       "      <th id=\"T_b0e58_level0_col4\" class=\"col_heading level0 col4\" >eyesight(left)</th>\n",
+       "      <th id=\"T_b0e58_level0_col5\" class=\"col_heading level0 col5\" >eyesight(right)</th>\n",
+       "      <th id=\"T_b0e58_level0_col6\" class=\"col_heading level0 col6\" >hearing(left)</th>\n",
+       "      <th id=\"T_b0e58_level0_col7\" class=\"col_heading level0 col7\" >hearing(right)</th>\n",
+       "      <th id=\"T_b0e58_level0_col8\" class=\"col_heading level0 col8\" >systolic</th>\n",
+       "      <th id=\"T_b0e58_level0_col9\" class=\"col_heading level0 col9\" >relaxation</th>\n",
+       "      <th id=\"T_b0e58_level0_col10\" class=\"col_heading level0 col10\" >fasting blood sugar</th>\n",
+       "      <th id=\"T_b0e58_level0_col11\" class=\"col_heading level0 col11\" >Cholesterol</th>\n",
+       "      <th id=\"T_b0e58_level0_col12\" class=\"col_heading level0 col12\" >triglyceride</th>\n",
+       "      <th id=\"T_b0e58_level0_col13\" class=\"col_heading level0 col13\" >HDL</th>\n",
+       "      <th id=\"T_b0e58_level0_col14\" class=\"col_heading level0 col14\" >LDL</th>\n",
+       "      <th id=\"T_b0e58_level0_col15\" class=\"col_heading level0 col15\" >hemoglobin</th>\n",
+       "      <th id=\"T_b0e58_level0_col16\" class=\"col_heading level0 col16\" >serum creatinine</th>\n",
+       "      <th id=\"T_b0e58_level0_col17\" class=\"col_heading level0 col17\" >AST</th>\n",
+       "      <th id=\"T_b0e58_level0_col18\" class=\"col_heading level0 col18\" >ALT</th>\n",
+       "      <th id=\"T_b0e58_level0_col19\" class=\"col_heading level0 col19\" >Gtp</th>\n",
+       "      <th id=\"T_b0e58_level0_col20\" class=\"col_heading level0 col20\" >dental caries</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row0\" class=\"row_heading level0 row0\" >ID</th>\n",
+       "      <td id=\"T_b0e58_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row0_col1\" class=\"data row0 col1\" >0.001817</td>\n",
+       "      <td id=\"T_b0e58_row0_col2\" class=\"data row0 col2\" >0.003741</td>\n",
+       "      <td id=\"T_b0e58_row0_col3\" class=\"data row0 col3\" >0.003081</td>\n",
+       "      <td id=\"T_b0e58_row0_col4\" class=\"data row0 col4\" >0.012597</td>\n",
+       "      <td id=\"T_b0e58_row0_col5\" class=\"data row0 col5\" >0.003470</td>\n",
+       "      <td id=\"T_b0e58_row0_col6\" class=\"data row0 col6\" >0.004498</td>\n",
+       "      <td id=\"T_b0e58_row0_col7\" class=\"data row0 col7\" >-0.002745</td>\n",
+       "      <td id=\"T_b0e58_row0_col8\" class=\"data row0 col8\" >0.000340</td>\n",
+       "      <td id=\"T_b0e58_row0_col9\" class=\"data row0 col9\" >-0.000314</td>\n",
+       "      <td id=\"T_b0e58_row0_col10\" class=\"data row0 col10\" >0.001928</td>\n",
+       "      <td id=\"T_b0e58_row0_col11\" class=\"data row0 col11\" >-0.003402</td>\n",
+       "      <td id=\"T_b0e58_row0_col12\" class=\"data row0 col12\" >0.002138</td>\n",
+       "      <td id=\"T_b0e58_row0_col13\" class=\"data row0 col13\" >-0.005821</td>\n",
+       "      <td id=\"T_b0e58_row0_col14\" class=\"data row0 col14\" >-0.000085</td>\n",
+       "      <td id=\"T_b0e58_row0_col15\" class=\"data row0 col15\" >0.001390</td>\n",
+       "      <td id=\"T_b0e58_row0_col16\" class=\"data row0 col16\" >-0.002777</td>\n",
+       "      <td id=\"T_b0e58_row0_col17\" class=\"data row0 col17\" >-0.001279</td>\n",
+       "      <td id=\"T_b0e58_row0_col18\" class=\"data row0 col18\" >-0.002951</td>\n",
+       "      <td id=\"T_b0e58_row0_col19\" class=\"data row0 col19\" >0.000626</td>\n",
+       "      <td id=\"T_b0e58_row0_col20\" class=\"data row0 col20\" >-0.000513</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row1\" class=\"row_heading level0 row1\" >age</th>\n",
+       "      <td id=\"T_b0e58_row1_col0\" class=\"data row1 col0\" >0.001817</td>\n",
+       "      <td id=\"T_b0e58_row1_col1\" class=\"data row1 col1\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row1_col2\" class=\"data row1 col2\" >-0.480930</td>\n",
+       "      <td id=\"T_b0e58_row1_col3\" class=\"data row1 col3\" >-0.325326</td>\n",
+       "      <td id=\"T_b0e58_row1_col4\" class=\"data row1 col4\" >-0.193642</td>\n",
+       "      <td id=\"T_b0e58_row1_col5\" class=\"data row1 col5\" >-0.188604</td>\n",
+       "      <td id=\"T_b0e58_row1_col6\" class=\"data row1 col6\" >0.204489</td>\n",
+       "      <td id=\"T_b0e58_row1_col7\" class=\"data row1 col7\" >0.208728</td>\n",
+       "      <td id=\"T_b0e58_row1_col8\" class=\"data row1 col8\" >0.132410</td>\n",
+       "      <td id=\"T_b0e58_row1_col9\" class=\"data row1 col9\" >0.050921</td>\n",
+       "      <td id=\"T_b0e58_row1_col10\" class=\"data row1 col10\" >0.180835</td>\n",
+       "      <td id=\"T_b0e58_row1_col11\" class=\"data row1 col11\" >0.057794</td>\n",
+       "      <td id=\"T_b0e58_row1_col12\" class=\"data row1 col12\" >0.015517</td>\n",
+       "      <td id=\"T_b0e58_row1_col13\" class=\"data row1 col13\" >0.008264</td>\n",
+       "      <td id=\"T_b0e58_row1_col14\" class=\"data row1 col14\" >0.043046</td>\n",
+       "      <td id=\"T_b0e58_row1_col15\" class=\"data row1 col15\" >-0.261970</td>\n",
+       "      <td id=\"T_b0e58_row1_col16\" class=\"data row1 col16\" >-0.004877</td>\n",
+       "      <td id=\"T_b0e58_row1_col17\" class=\"data row1 col17\" >0.029663</td>\n",
+       "      <td id=\"T_b0e58_row1_col18\" class=\"data row1 col18\" >-0.064636</td>\n",
+       "      <td id=\"T_b0e58_row1_col19\" class=\"data row1 col19\" >0.013609</td>\n",
+       "      <td id=\"T_b0e58_row1_col20\" class=\"data row1 col20\" >-0.111757</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row2\" class=\"row_heading level0 row2\" >height(cm)</th>\n",
+       "      <td id=\"T_b0e58_row2_col0\" class=\"data row2 col0\" >0.003741</td>\n",
+       "      <td id=\"T_b0e58_row2_col1\" class=\"data row2 col1\" >-0.480930</td>\n",
+       "      <td id=\"T_b0e58_row2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row2_col3\" class=\"data row2 col3\" >0.676907</td>\n",
+       "      <td id=\"T_b0e58_row2_col4\" class=\"data row2 col4\" >0.151194</td>\n",
+       "      <td id=\"T_b0e58_row2_col5\" class=\"data row2 col5\" >0.156250</td>\n",
+       "      <td id=\"T_b0e58_row2_col6\" class=\"data row2 col6\" >-0.078804</td>\n",
+       "      <td id=\"T_b0e58_row2_col7\" class=\"data row2 col7\" >-0.079057</td>\n",
+       "      <td id=\"T_b0e58_row2_col8\" class=\"data row2 col8\" >0.079977</td>\n",
+       "      <td id=\"T_b0e58_row2_col9\" class=\"data row2 col9\" >0.117240</td>\n",
+       "      <td id=\"T_b0e58_row2_col10\" class=\"data row2 col10\" >0.019907</td>\n",
+       "      <td id=\"T_b0e58_row2_col11\" class=\"data row2 col11\" >-0.081390</td>\n",
+       "      <td id=\"T_b0e58_row2_col12\" class=\"data row2 col12\" >0.157034</td>\n",
+       "      <td id=\"T_b0e58_row2_col13\" class=\"data row2 col13\" >-0.213216</td>\n",
+       "      <td id=\"T_b0e58_row2_col14\" class=\"data row2 col14\" >-0.048195</td>\n",
+       "      <td id=\"T_b0e58_row2_col15\" class=\"data row2 col15\" >0.537816</td>\n",
+       "      <td id=\"T_b0e58_row2_col16\" class=\"data row2 col16\" >0.018142</td>\n",
+       "      <td id=\"T_b0e58_row2_col17\" class=\"data row2 col17\" >0.043108</td>\n",
+       "      <td id=\"T_b0e58_row2_col18\" class=\"data row2 col18\" >0.127736</td>\n",
+       "      <td id=\"T_b0e58_row2_col19\" class=\"data row2 col19\" >0.140377</td>\n",
+       "      <td id=\"T_b0e58_row2_col20\" class=\"data row2 col20\" >0.080084</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row3\" class=\"row_heading level0 row3\" >weight(kg)</th>\n",
+       "      <td id=\"T_b0e58_row3_col0\" class=\"data row3 col0\" >0.003081</td>\n",
+       "      <td id=\"T_b0e58_row3_col1\" class=\"data row3 col1\" >-0.325326</td>\n",
+       "      <td id=\"T_b0e58_row3_col2\" class=\"data row3 col2\" >0.676907</td>\n",
+       "      <td id=\"T_b0e58_row3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row3_col4\" class=\"data row3 col4\" >0.107747</td>\n",
+       "      <td id=\"T_b0e58_row3_col5\" class=\"data row3 col5\" >0.112923</td>\n",
+       "      <td id=\"T_b0e58_row3_col6\" class=\"data row3 col6\" >-0.049581</td>\n",
+       "      <td id=\"T_b0e58_row3_col7\" class=\"data row3 col7\" >-0.053485</td>\n",
+       "      <td id=\"T_b0e58_row3_col8\" class=\"data row3 col8\" >0.255159</td>\n",
+       "      <td id=\"T_b0e58_row3_col9\" class=\"data row3 col9\" >0.273587</td>\n",
+       "      <td id=\"T_b0e58_row3_col10\" class=\"data row3 col10\" >0.136567</td>\n",
+       "      <td id=\"T_b0e58_row3_col11\" class=\"data row3 col11\" >0.025984</td>\n",
+       "      <td id=\"T_b0e58_row3_col12\" class=\"data row3 col12\" >0.323755</td>\n",
+       "      <td id=\"T_b0e58_row3_col13\" class=\"data row3 col13\" >-0.356548</td>\n",
+       "      <td id=\"T_b0e58_row3_col14\" class=\"data row3 col14\" >0.039089</td>\n",
+       "      <td id=\"T_b0e58_row3_col15\" class=\"data row3 col15\" >0.488863</td>\n",
+       "      <td id=\"T_b0e58_row3_col16\" class=\"data row3 col16\" >0.009318</td>\n",
+       "      <td id=\"T_b0e58_row3_col17\" class=\"data row3 col17\" >0.121640</td>\n",
+       "      <td id=\"T_b0e58_row3_col18\" class=\"data row3 col18\" >0.250995</td>\n",
+       "      <td id=\"T_b0e58_row3_col19\" class=\"data row3 col19\" >0.210337</td>\n",
+       "      <td id=\"T_b0e58_row3_col20\" class=\"data row3 col20\" >0.075699</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row4\" class=\"row_heading level0 row4\" >eyesight(left)</th>\n",
+       "      <td id=\"T_b0e58_row4_col0\" class=\"data row4 col0\" >0.012597</td>\n",
+       "      <td id=\"T_b0e58_row4_col1\" class=\"data row4 col1\" >-0.193642</td>\n",
+       "      <td id=\"T_b0e58_row4_col2\" class=\"data row4 col2\" >0.151194</td>\n",
+       "      <td id=\"T_b0e58_row4_col3\" class=\"data row4 col3\" >0.107747</td>\n",
+       "      <td id=\"T_b0e58_row4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row4_col5\" class=\"data row4 col5\" >0.357019</td>\n",
+       "      <td id=\"T_b0e58_row4_col6\" class=\"data row4 col6\" >-0.044312</td>\n",
+       "      <td id=\"T_b0e58_row4_col7\" class=\"data row4 col7\" >-0.048974</td>\n",
+       "      <td id=\"T_b0e58_row4_col8\" class=\"data row4 col8\" >-0.018929</td>\n",
+       "      <td id=\"T_b0e58_row4_col9\" class=\"data row4 col9\" >0.006349</td>\n",
+       "      <td id=\"T_b0e58_row4_col10\" class=\"data row4 col10\" >-0.041152</td>\n",
+       "      <td id=\"T_b0e58_row4_col11\" class=\"data row4 col11\" >-0.006571</td>\n",
+       "      <td id=\"T_b0e58_row4_col12\" class=\"data row4 col12\" >0.017195</td>\n",
+       "      <td id=\"T_b0e58_row4_col13\" class=\"data row4 col13\" >-0.014722</td>\n",
+       "      <td id=\"T_b0e58_row4_col14\" class=\"data row4 col14\" >-0.006500</td>\n",
+       "      <td id=\"T_b0e58_row4_col15\" class=\"data row4 col15\" >0.095012</td>\n",
+       "      <td id=\"T_b0e58_row4_col16\" class=\"data row4 col16\" >0.002610</td>\n",
+       "      <td id=\"T_b0e58_row4_col17\" class=\"data row4 col17\" >-0.007802</td>\n",
+       "      <td id=\"T_b0e58_row4_col18\" class=\"data row4 col18\" >0.018927</td>\n",
+       "      <td id=\"T_b0e58_row4_col19\" class=\"data row4 col19\" >0.002774</td>\n",
+       "      <td id=\"T_b0e58_row4_col20\" class=\"data row4 col20\" >0.001619</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row5\" class=\"row_heading level0 row5\" >eyesight(right)</th>\n",
+       "      <td id=\"T_b0e58_row5_col0\" class=\"data row5 col0\" >0.003470</td>\n",
+       "      <td id=\"T_b0e58_row5_col1\" class=\"data row5 col1\" >-0.188604</td>\n",
+       "      <td id=\"T_b0e58_row5_col2\" class=\"data row5 col2\" >0.156250</td>\n",
+       "      <td id=\"T_b0e58_row5_col3\" class=\"data row5 col3\" >0.112923</td>\n",
+       "      <td id=\"T_b0e58_row5_col4\" class=\"data row5 col4\" >0.357019</td>\n",
+       "      <td id=\"T_b0e58_row5_col5\" class=\"data row5 col5\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row5_col6\" class=\"data row5 col6\" >-0.044087</td>\n",
+       "      <td id=\"T_b0e58_row5_col7\" class=\"data row5 col7\" >-0.047077</td>\n",
+       "      <td id=\"T_b0e58_row5_col8\" class=\"data row5 col8\" >-0.013424</td>\n",
+       "      <td id=\"T_b0e58_row5_col9\" class=\"data row5 col9\" >0.011377</td>\n",
+       "      <td id=\"T_b0e58_row5_col10\" class=\"data row5 col10\" >-0.043659</td>\n",
+       "      <td id=\"T_b0e58_row5_col11\" class=\"data row5 col11\" >-0.010097</td>\n",
+       "      <td id=\"T_b0e58_row5_col12\" class=\"data row5 col12\" >0.018653</td>\n",
+       "      <td id=\"T_b0e58_row5_col13\" class=\"data row5 col13\" >-0.021830</td>\n",
+       "      <td id=\"T_b0e58_row5_col14\" class=\"data row5 col14\" >-0.006255</td>\n",
+       "      <td id=\"T_b0e58_row5_col15\" class=\"data row5 col15\" >0.093862</td>\n",
+       "      <td id=\"T_b0e58_row5_col16\" class=\"data row5 col16\" >0.004164</td>\n",
+       "      <td id=\"T_b0e58_row5_col17\" class=\"data row5 col17\" >-0.006391</td>\n",
+       "      <td id=\"T_b0e58_row5_col18\" class=\"data row5 col18\" >0.024391</td>\n",
+       "      <td id=\"T_b0e58_row5_col19\" class=\"data row5 col19\" >0.011300</td>\n",
+       "      <td id=\"T_b0e58_row5_col20\" class=\"data row5 col20\" >0.015208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row6\" class=\"row_heading level0 row6\" >hearing(left)</th>\n",
+       "      <td id=\"T_b0e58_row6_col0\" class=\"data row6 col0\" >0.004498</td>\n",
+       "      <td id=\"T_b0e58_row6_col1\" class=\"data row6 col1\" >0.204489</td>\n",
+       "      <td id=\"T_b0e58_row6_col2\" class=\"data row6 col2\" >-0.078804</td>\n",
+       "      <td id=\"T_b0e58_row6_col3\" class=\"data row6 col3\" >-0.049581</td>\n",
+       "      <td id=\"T_b0e58_row6_col4\" class=\"data row6 col4\" >-0.044312</td>\n",
+       "      <td id=\"T_b0e58_row6_col5\" class=\"data row6 col5\" >-0.044087</td>\n",
+       "      <td id=\"T_b0e58_row6_col6\" class=\"data row6 col6\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row6_col7\" class=\"data row6 col7\" >0.516151</td>\n",
+       "      <td id=\"T_b0e58_row6_col8\" class=\"data row6 col8\" >0.054037</td>\n",
+       "      <td id=\"T_b0e58_row6_col9\" class=\"data row6 col9\" >0.009662</td>\n",
+       "      <td id=\"T_b0e58_row6_col10\" class=\"data row6 col10\" >0.040864</td>\n",
+       "      <td id=\"T_b0e58_row6_col11\" class=\"data row6 col11\" >-0.020528</td>\n",
+       "      <td id=\"T_b0e58_row6_col12\" class=\"data row6 col12\" >0.002867</td>\n",
+       "      <td id=\"T_b0e58_row6_col13\" class=\"data row6 col13\" >-0.017479</td>\n",
+       "      <td id=\"T_b0e58_row6_col14\" class=\"data row6 col14\" >-0.014454</td>\n",
+       "      <td id=\"T_b0e58_row6_col15\" class=\"data row6 col15\" >-0.025626</td>\n",
+       "      <td id=\"T_b0e58_row6_col16\" class=\"data row6 col16\" >-0.000747</td>\n",
+       "      <td id=\"T_b0e58_row6_col17\" class=\"data row6 col17\" >0.010157</td>\n",
+       "      <td id=\"T_b0e58_row6_col18\" class=\"data row6 col18\" >-0.000938</td>\n",
+       "      <td id=\"T_b0e58_row6_col19\" class=\"data row6 col19\" >0.012804</td>\n",
+       "      <td id=\"T_b0e58_row6_col20\" class=\"data row6 col20\" >-0.013315</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row7\" class=\"row_heading level0 row7\" >hearing(right)</th>\n",
+       "      <td id=\"T_b0e58_row7_col0\" class=\"data row7 col0\" >-0.002745</td>\n",
+       "      <td id=\"T_b0e58_row7_col1\" class=\"data row7 col1\" >0.208728</td>\n",
+       "      <td id=\"T_b0e58_row7_col2\" class=\"data row7 col2\" >-0.079057</td>\n",
+       "      <td id=\"T_b0e58_row7_col3\" class=\"data row7 col3\" >-0.053485</td>\n",
+       "      <td id=\"T_b0e58_row7_col4\" class=\"data row7 col4\" >-0.048974</td>\n",
+       "      <td id=\"T_b0e58_row7_col5\" class=\"data row7 col5\" >-0.047077</td>\n",
+       "      <td id=\"T_b0e58_row7_col6\" class=\"data row7 col6\" >0.516151</td>\n",
+       "      <td id=\"T_b0e58_row7_col7\" class=\"data row7 col7\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row7_col8\" class=\"data row7 col8\" >0.050980</td>\n",
+       "      <td id=\"T_b0e58_row7_col9\" class=\"data row7 col9\" >0.006938</td>\n",
+       "      <td id=\"T_b0e58_row7_col10\" class=\"data row7 col10\" >0.040655</td>\n",
+       "      <td id=\"T_b0e58_row7_col11\" class=\"data row7 col11\" >-0.022550</td>\n",
+       "      <td id=\"T_b0e58_row7_col12\" class=\"data row7 col12\" >-0.003442</td>\n",
+       "      <td id=\"T_b0e58_row7_col13\" class=\"data row7 col13\" >-0.014697</td>\n",
+       "      <td id=\"T_b0e58_row7_col14\" class=\"data row7 col14\" >-0.014567</td>\n",
+       "      <td id=\"T_b0e58_row7_col15\" class=\"data row7 col15\" >-0.027428</td>\n",
+       "      <td id=\"T_b0e58_row7_col16\" class=\"data row7 col16\" >-0.000591</td>\n",
+       "      <td id=\"T_b0e58_row7_col17\" class=\"data row7 col17\" >0.008091</td>\n",
+       "      <td id=\"T_b0e58_row7_col18\" class=\"data row7 col18\" >-0.004033</td>\n",
+       "      <td id=\"T_b0e58_row7_col19\" class=\"data row7 col19\" >0.009478</td>\n",
+       "      <td id=\"T_b0e58_row7_col20\" class=\"data row7 col20\" >-0.014462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row8\" class=\"row_heading level0 row8\" >systolic</th>\n",
+       "      <td id=\"T_b0e58_row8_col0\" class=\"data row8 col0\" >0.000340</td>\n",
+       "      <td id=\"T_b0e58_row8_col1\" class=\"data row8 col1\" >0.132410</td>\n",
+       "      <td id=\"T_b0e58_row8_col2\" class=\"data row8 col2\" >0.079977</td>\n",
+       "      <td id=\"T_b0e58_row8_col3\" class=\"data row8 col3\" >0.255159</td>\n",
+       "      <td id=\"T_b0e58_row8_col4\" class=\"data row8 col4\" >-0.018929</td>\n",
+       "      <td id=\"T_b0e58_row8_col5\" class=\"data row8 col5\" >-0.013424</td>\n",
+       "      <td id=\"T_b0e58_row8_col6\" class=\"data row8 col6\" >0.054037</td>\n",
+       "      <td id=\"T_b0e58_row8_col7\" class=\"data row8 col7\" >0.050980</td>\n",
+       "      <td id=\"T_b0e58_row8_col8\" class=\"data row8 col8\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row8_col9\" class=\"data row8 col9\" >0.730009</td>\n",
+       "      <td id=\"T_b0e58_row8_col10\" class=\"data row8 col10\" >0.167295</td>\n",
+       "      <td id=\"T_b0e58_row8_col11\" class=\"data row8 col11\" >0.056610</td>\n",
+       "      <td id=\"T_b0e58_row8_col12\" class=\"data row8 col12\" >0.192386</td>\n",
+       "      <td id=\"T_b0e58_row8_col13\" class=\"data row8 col13\" >-0.080623</td>\n",
+       "      <td id=\"T_b0e58_row8_col14\" class=\"data row8 col14\" >0.013551</td>\n",
+       "      <td id=\"T_b0e58_row8_col15\" class=\"data row8 col15\" >0.177470</td>\n",
+       "      <td id=\"T_b0e58_row8_col16\" class=\"data row8 col16\" >-0.005386</td>\n",
+       "      <td id=\"T_b0e58_row8_col17\" class=\"data row8 col17\" >0.081477</td>\n",
+       "      <td id=\"T_b0e58_row8_col18\" class=\"data row8 col18\" >0.090247</td>\n",
+       "      <td id=\"T_b0e58_row8_col19\" class=\"data row8 col19\" >0.164736</td>\n",
+       "      <td id=\"T_b0e58_row8_col20\" class=\"data row8 col20\" >0.026269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row9\" class=\"row_heading level0 row9\" >relaxation</th>\n",
+       "      <td id=\"T_b0e58_row9_col0\" class=\"data row9 col0\" >-0.000314</td>\n",
+       "      <td id=\"T_b0e58_row9_col1\" class=\"data row9 col1\" >0.050921</td>\n",
+       "      <td id=\"T_b0e58_row9_col2\" class=\"data row9 col2\" >0.117240</td>\n",
+       "      <td id=\"T_b0e58_row9_col3\" class=\"data row9 col3\" >0.273587</td>\n",
+       "      <td id=\"T_b0e58_row9_col4\" class=\"data row9 col4\" >0.006349</td>\n",
+       "      <td id=\"T_b0e58_row9_col5\" class=\"data row9 col5\" >0.011377</td>\n",
+       "      <td id=\"T_b0e58_row9_col6\" class=\"data row9 col6\" >0.009662</td>\n",
+       "      <td id=\"T_b0e58_row9_col7\" class=\"data row9 col7\" >0.006938</td>\n",
+       "      <td id=\"T_b0e58_row9_col8\" class=\"data row9 col8\" >0.730009</td>\n",
+       "      <td id=\"T_b0e58_row9_col9\" class=\"data row9 col9\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row9_col10\" class=\"data row9 col10\" >0.147814</td>\n",
+       "      <td id=\"T_b0e58_row9_col11\" class=\"data row9 col11\" >0.095093</td>\n",
+       "      <td id=\"T_b0e58_row9_col12\" class=\"data row9 col12\" >0.217585</td>\n",
+       "      <td id=\"T_b0e58_row9_col13\" class=\"data row9 col13\" >-0.087809</td>\n",
+       "      <td id=\"T_b0e58_row9_col14\" class=\"data row9 col14\" >0.039417</td>\n",
+       "      <td id=\"T_b0e58_row9_col15\" class=\"data row9 col15\" >0.235118</td>\n",
+       "      <td id=\"T_b0e58_row9_col16\" class=\"data row9 col16\" >-0.003288</td>\n",
+       "      <td id=\"T_b0e58_row9_col17\" class=\"data row9 col17\" >0.085765</td>\n",
+       "      <td id=\"T_b0e58_row9_col18\" class=\"data row9 col18\" >0.105948</td>\n",
+       "      <td id=\"T_b0e58_row9_col19\" class=\"data row9 col19\" >0.180496</td>\n",
+       "      <td id=\"T_b0e58_row9_col20\" class=\"data row9 col20\" >0.030347</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row10\" class=\"row_heading level0 row10\" >fasting blood sugar</th>\n",
+       "      <td id=\"T_b0e58_row10_col0\" class=\"data row10 col0\" >0.001928</td>\n",
+       "      <td id=\"T_b0e58_row10_col1\" class=\"data row10 col1\" >0.180835</td>\n",
+       "      <td id=\"T_b0e58_row10_col2\" class=\"data row10 col2\" >0.019907</td>\n",
+       "      <td id=\"T_b0e58_row10_col3\" class=\"data row10 col3\" >0.136567</td>\n",
+       "      <td id=\"T_b0e58_row10_col4\" class=\"data row10 col4\" >-0.041152</td>\n",
+       "      <td id=\"T_b0e58_row10_col5\" class=\"data row10 col5\" >-0.043659</td>\n",
+       "      <td id=\"T_b0e58_row10_col6\" class=\"data row10 col6\" >0.040864</td>\n",
+       "      <td id=\"T_b0e58_row10_col7\" class=\"data row10 col7\" >0.040655</td>\n",
+       "      <td id=\"T_b0e58_row10_col8\" class=\"data row10 col8\" >0.167295</td>\n",
+       "      <td id=\"T_b0e58_row10_col9\" class=\"data row10 col9\" >0.147814</td>\n",
+       "      <td id=\"T_b0e58_row10_col10\" class=\"data row10 col10\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row10_col11\" class=\"data row10 col11\" >0.011374</td>\n",
+       "      <td id=\"T_b0e58_row10_col12\" class=\"data row10 col12\" >0.231786</td>\n",
+       "      <td id=\"T_b0e58_row10_col13\" class=\"data row10 col13\" >-0.119665</td>\n",
+       "      <td id=\"T_b0e58_row10_col14\" class=\"data row10 col14\" >-0.021328</td>\n",
+       "      <td id=\"T_b0e58_row10_col15\" class=\"data row10 col15\" >0.099345</td>\n",
+       "      <td id=\"T_b0e58_row10_col16\" class=\"data row10 col16\" >-0.001372</td>\n",
+       "      <td id=\"T_b0e58_row10_col17\" class=\"data row10 col17\" >0.067988</td>\n",
+       "      <td id=\"T_b0e58_row10_col18\" class=\"data row10 col18\" >0.086332</td>\n",
+       "      <td id=\"T_b0e58_row10_col19\" class=\"data row10 col19\" >0.185101</td>\n",
+       "      <td id=\"T_b0e58_row10_col20\" class=\"data row10 col20\" >-0.001157</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row11\" class=\"row_heading level0 row11\" >Cholesterol</th>\n",
+       "      <td id=\"T_b0e58_row11_col0\" class=\"data row11 col0\" >-0.003402</td>\n",
+       "      <td id=\"T_b0e58_row11_col1\" class=\"data row11 col1\" >0.057794</td>\n",
+       "      <td id=\"T_b0e58_row11_col2\" class=\"data row11 col2\" >-0.081390</td>\n",
+       "      <td id=\"T_b0e58_row11_col3\" class=\"data row11 col3\" >0.025984</td>\n",
+       "      <td id=\"T_b0e58_row11_col4\" class=\"data row11 col4\" >-0.006571</td>\n",
+       "      <td id=\"T_b0e58_row11_col5\" class=\"data row11 col5\" >-0.010097</td>\n",
+       "      <td id=\"T_b0e58_row11_col6\" class=\"data row11 col6\" >-0.020528</td>\n",
+       "      <td id=\"T_b0e58_row11_col7\" class=\"data row11 col7\" >-0.022550</td>\n",
+       "      <td id=\"T_b0e58_row11_col8\" class=\"data row11 col8\" >0.056610</td>\n",
+       "      <td id=\"T_b0e58_row11_col9\" class=\"data row11 col9\" >0.095093</td>\n",
+       "      <td id=\"T_b0e58_row11_col10\" class=\"data row11 col10\" >0.011374</td>\n",
+       "      <td id=\"T_b0e58_row11_col11\" class=\"data row11 col11\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row11_col12\" class=\"data row11 col12\" >0.247585</td>\n",
+       "      <td id=\"T_b0e58_row11_col13\" class=\"data row11 col13\" >0.168516</td>\n",
+       "      <td id=\"T_b0e58_row11_col14\" class=\"data row11 col14\" >0.734966</td>\n",
+       "      <td id=\"T_b0e58_row11_col15\" class=\"data row11 col15\" >0.061829</td>\n",
+       "      <td id=\"T_b0e58_row11_col16\" class=\"data row11 col16\" >0.003169</td>\n",
+       "      <td id=\"T_b0e58_row11_col17\" class=\"data row11 col17\" >0.027659</td>\n",
+       "      <td id=\"T_b0e58_row11_col18\" class=\"data row11 col18\" >0.050510</td>\n",
+       "      <td id=\"T_b0e58_row11_col19\" class=\"data row11 col19\" >0.082798</td>\n",
+       "      <td id=\"T_b0e58_row11_col20\" class=\"data row11 col20\" >0.001261</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row12\" class=\"row_heading level0 row12\" >triglyceride</th>\n",
+       "      <td id=\"T_b0e58_row12_col0\" class=\"data row12 col0\" >0.002138</td>\n",
+       "      <td id=\"T_b0e58_row12_col1\" class=\"data row12 col1\" >0.015517</td>\n",
+       "      <td id=\"T_b0e58_row12_col2\" class=\"data row12 col2\" >0.157034</td>\n",
+       "      <td id=\"T_b0e58_row12_col3\" class=\"data row12 col3\" >0.323755</td>\n",
+       "      <td id=\"T_b0e58_row12_col4\" class=\"data row12 col4\" >0.017195</td>\n",
+       "      <td id=\"T_b0e58_row12_col5\" class=\"data row12 col5\" >0.018653</td>\n",
+       "      <td id=\"T_b0e58_row12_col6\" class=\"data row12 col6\" >0.002867</td>\n",
+       "      <td id=\"T_b0e58_row12_col7\" class=\"data row12 col7\" >-0.003442</td>\n",
+       "      <td id=\"T_b0e58_row12_col8\" class=\"data row12 col8\" >0.192386</td>\n",
+       "      <td id=\"T_b0e58_row12_col9\" class=\"data row12 col9\" >0.217585</td>\n",
+       "      <td id=\"T_b0e58_row12_col10\" class=\"data row12 col10\" >0.231786</td>\n",
+       "      <td id=\"T_b0e58_row12_col11\" class=\"data row12 col11\" >0.247585</td>\n",
+       "      <td id=\"T_b0e58_row12_col12\" class=\"data row12 col12\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row12_col13\" class=\"data row12 col13\" >-0.410603</td>\n",
+       "      <td id=\"T_b0e58_row12_col14\" class=\"data row12 col14\" >0.025008</td>\n",
+       "      <td id=\"T_b0e58_row12_col15\" class=\"data row12 col15\" >0.273401</td>\n",
+       "      <td id=\"T_b0e58_row12_col16\" class=\"data row12 col16\" >0.002432</td>\n",
+       "      <td id=\"T_b0e58_row12_col17\" class=\"data row12 col17\" >0.099919</td>\n",
+       "      <td id=\"T_b0e58_row12_col18\" class=\"data row12 col18\" >0.173265</td>\n",
+       "      <td id=\"T_b0e58_row12_col19\" class=\"data row12 col19\" >0.302585</td>\n",
+       "      <td id=\"T_b0e58_row12_col20\" class=\"data row12 col20\" >0.026207</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row13\" class=\"row_heading level0 row13\" >HDL</th>\n",
+       "      <td id=\"T_b0e58_row13_col0\" class=\"data row13 col0\" >-0.005821</td>\n",
+       "      <td id=\"T_b0e58_row13_col1\" class=\"data row13 col1\" >0.008264</td>\n",
+       "      <td id=\"T_b0e58_row13_col2\" class=\"data row13 col2\" >-0.213216</td>\n",
+       "      <td id=\"T_b0e58_row13_col3\" class=\"data row13 col3\" >-0.356548</td>\n",
+       "      <td id=\"T_b0e58_row13_col4\" class=\"data row13 col4\" >-0.014722</td>\n",
+       "      <td id=\"T_b0e58_row13_col5\" class=\"data row13 col5\" >-0.021830</td>\n",
+       "      <td id=\"T_b0e58_row13_col6\" class=\"data row13 col6\" >-0.017479</td>\n",
+       "      <td id=\"T_b0e58_row13_col7\" class=\"data row13 col7\" >-0.014697</td>\n",
+       "      <td id=\"T_b0e58_row13_col8\" class=\"data row13 col8\" >-0.080623</td>\n",
+       "      <td id=\"T_b0e58_row13_col9\" class=\"data row13 col9\" >-0.087809</td>\n",
+       "      <td id=\"T_b0e58_row13_col10\" class=\"data row13 col10\" >-0.119665</td>\n",
+       "      <td id=\"T_b0e58_row13_col11\" class=\"data row13 col11\" >0.168516</td>\n",
+       "      <td id=\"T_b0e58_row13_col12\" class=\"data row13 col12\" >-0.410603</td>\n",
+       "      <td id=\"T_b0e58_row13_col13\" class=\"data row13 col13\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row13_col14\" class=\"data row13 col14\" >-0.054434</td>\n",
+       "      <td id=\"T_b0e58_row13_col15\" class=\"data row13 col15\" >-0.239754</td>\n",
+       "      <td id=\"T_b0e58_row13_col16\" class=\"data row13 col16\" >-0.009122</td>\n",
+       "      <td id=\"T_b0e58_row13_col17\" class=\"data row13 col17\" >-0.038166</td>\n",
+       "      <td id=\"T_b0e58_row13_col18\" class=\"data row13 col18\" >-0.130014</td>\n",
+       "      <td id=\"T_b0e58_row13_col19\" class=\"data row13 col19\" >-0.056132</td>\n",
+       "      <td id=\"T_b0e58_row13_col20\" class=\"data row13 col20\" >-0.024860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row14\" class=\"row_heading level0 row14\" >LDL</th>\n",
+       "      <td id=\"T_b0e58_row14_col0\" class=\"data row14 col0\" >-0.000085</td>\n",
+       "      <td id=\"T_b0e58_row14_col1\" class=\"data row14 col1\" >0.043046</td>\n",
+       "      <td id=\"T_b0e58_row14_col2\" class=\"data row14 col2\" >-0.048195</td>\n",
+       "      <td id=\"T_b0e58_row14_col3\" class=\"data row14 col3\" >0.039089</td>\n",
+       "      <td id=\"T_b0e58_row14_col4\" class=\"data row14 col4\" >-0.006500</td>\n",
+       "      <td id=\"T_b0e58_row14_col5\" class=\"data row14 col5\" >-0.006255</td>\n",
+       "      <td id=\"T_b0e58_row14_col6\" class=\"data row14 col6\" >-0.014454</td>\n",
+       "      <td id=\"T_b0e58_row14_col7\" class=\"data row14 col7\" >-0.014567</td>\n",
+       "      <td id=\"T_b0e58_row14_col8\" class=\"data row14 col8\" >0.013551</td>\n",
+       "      <td id=\"T_b0e58_row14_col9\" class=\"data row14 col9\" >0.039417</td>\n",
+       "      <td id=\"T_b0e58_row14_col10\" class=\"data row14 col10\" >-0.021328</td>\n",
+       "      <td id=\"T_b0e58_row14_col11\" class=\"data row14 col11\" >0.734966</td>\n",
+       "      <td id=\"T_b0e58_row14_col12\" class=\"data row14 col12\" >0.025008</td>\n",
+       "      <td id=\"T_b0e58_row14_col13\" class=\"data row14 col13\" >-0.054434</td>\n",
+       "      <td id=\"T_b0e58_row14_col14\" class=\"data row14 col14\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row14_col15\" class=\"data row14 col15\" >0.052120</td>\n",
+       "      <td id=\"T_b0e58_row14_col16\" class=\"data row14 col16\" >0.005479</td>\n",
+       "      <td id=\"T_b0e58_row14_col17\" class=\"data row14 col17\" >0.002537</td>\n",
+       "      <td id=\"T_b0e58_row14_col18\" class=\"data row14 col18\" >0.031968</td>\n",
+       "      <td id=\"T_b0e58_row14_col19\" class=\"data row14 col19\" >-0.008297</td>\n",
+       "      <td id=\"T_b0e58_row14_col20\" class=\"data row14 col20\" >0.001742</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row15\" class=\"row_heading level0 row15\" >hemoglobin</th>\n",
+       "      <td id=\"T_b0e58_row15_col0\" class=\"data row15 col0\" >0.001390</td>\n",
+       "      <td id=\"T_b0e58_row15_col1\" class=\"data row15 col1\" >-0.261970</td>\n",
+       "      <td id=\"T_b0e58_row15_col2\" class=\"data row15 col2\" >0.537816</td>\n",
+       "      <td id=\"T_b0e58_row15_col3\" class=\"data row15 col3\" >0.488863</td>\n",
+       "      <td id=\"T_b0e58_row15_col4\" class=\"data row15 col4\" >0.095012</td>\n",
+       "      <td id=\"T_b0e58_row15_col5\" class=\"data row15 col5\" >0.093862</td>\n",
+       "      <td id=\"T_b0e58_row15_col6\" class=\"data row15 col6\" >-0.025626</td>\n",
+       "      <td id=\"T_b0e58_row15_col7\" class=\"data row15 col7\" >-0.027428</td>\n",
+       "      <td id=\"T_b0e58_row15_col8\" class=\"data row15 col8\" >0.177470</td>\n",
+       "      <td id=\"T_b0e58_row15_col9\" class=\"data row15 col9\" >0.235118</td>\n",
+       "      <td id=\"T_b0e58_row15_col10\" class=\"data row15 col10\" >0.099345</td>\n",
+       "      <td id=\"T_b0e58_row15_col11\" class=\"data row15 col11\" >0.061829</td>\n",
+       "      <td id=\"T_b0e58_row15_col12\" class=\"data row15 col12\" >0.273401</td>\n",
+       "      <td id=\"T_b0e58_row15_col13\" class=\"data row15 col13\" >-0.239754</td>\n",
+       "      <td id=\"T_b0e58_row15_col14\" class=\"data row15 col14\" >0.052120</td>\n",
+       "      <td id=\"T_b0e58_row15_col15\" class=\"data row15 col15\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row15_col16\" class=\"data row15 col16\" >0.013932</td>\n",
+       "      <td id=\"T_b0e58_row15_col17\" class=\"data row15 col17\" >0.119159</td>\n",
+       "      <td id=\"T_b0e58_row15_col18\" class=\"data row15 col18\" >0.197403</td>\n",
+       "      <td id=\"T_b0e58_row15_col19\" class=\"data row15 col19\" >0.225616</td>\n",
+       "      <td id=\"T_b0e58_row15_col20\" class=\"data row15 col20\" >0.067772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row16\" class=\"row_heading level0 row16\" >serum creatinine</th>\n",
+       "      <td id=\"T_b0e58_row16_col0\" class=\"data row16 col0\" >-0.002777</td>\n",
+       "      <td id=\"T_b0e58_row16_col1\" class=\"data row16 col1\" >-0.004877</td>\n",
+       "      <td id=\"T_b0e58_row16_col2\" class=\"data row16 col2\" >0.018142</td>\n",
+       "      <td id=\"T_b0e58_row16_col3\" class=\"data row16 col3\" >0.009318</td>\n",
+       "      <td id=\"T_b0e58_row16_col4\" class=\"data row16 col4\" >0.002610</td>\n",
+       "      <td id=\"T_b0e58_row16_col5\" class=\"data row16 col5\" >0.004164</td>\n",
+       "      <td id=\"T_b0e58_row16_col6\" class=\"data row16 col6\" >-0.000747</td>\n",
+       "      <td id=\"T_b0e58_row16_col7\" class=\"data row16 col7\" >-0.000591</td>\n",
+       "      <td id=\"T_b0e58_row16_col8\" class=\"data row16 col8\" >-0.005386</td>\n",
+       "      <td id=\"T_b0e58_row16_col9\" class=\"data row16 col9\" >-0.003288</td>\n",
+       "      <td id=\"T_b0e58_row16_col10\" class=\"data row16 col10\" >-0.001372</td>\n",
+       "      <td id=\"T_b0e58_row16_col11\" class=\"data row16 col11\" >0.003169</td>\n",
+       "      <td id=\"T_b0e58_row16_col12\" class=\"data row16 col12\" >0.002432</td>\n",
+       "      <td id=\"T_b0e58_row16_col13\" class=\"data row16 col13\" >-0.009122</td>\n",
+       "      <td id=\"T_b0e58_row16_col14\" class=\"data row16 col14\" >0.005479</td>\n",
+       "      <td id=\"T_b0e58_row16_col15\" class=\"data row16 col15\" >0.013932</td>\n",
+       "      <td id=\"T_b0e58_row16_col16\" class=\"data row16 col16\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row16_col17\" class=\"data row16 col17\" >0.000538</td>\n",
+       "      <td id=\"T_b0e58_row16_col18\" class=\"data row16 col18\" >0.001368</td>\n",
+       "      <td id=\"T_b0e58_row16_col19\" class=\"data row16 col19\" >0.002177</td>\n",
+       "      <td id=\"T_b0e58_row16_col20\" class=\"data row16 col20\" >0.010378</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row17\" class=\"row_heading level0 row17\" >AST</th>\n",
+       "      <td id=\"T_b0e58_row17_col0\" class=\"data row17 col0\" >-0.001279</td>\n",
+       "      <td id=\"T_b0e58_row17_col1\" class=\"data row17 col1\" >0.029663</td>\n",
+       "      <td id=\"T_b0e58_row17_col2\" class=\"data row17 col2\" >0.043108</td>\n",
+       "      <td id=\"T_b0e58_row17_col3\" class=\"data row17 col3\" >0.121640</td>\n",
+       "      <td id=\"T_b0e58_row17_col4\" class=\"data row17 col4\" >-0.007802</td>\n",
+       "      <td id=\"T_b0e58_row17_col5\" class=\"data row17 col5\" >-0.006391</td>\n",
+       "      <td id=\"T_b0e58_row17_col6\" class=\"data row17 col6\" >0.010157</td>\n",
+       "      <td id=\"T_b0e58_row17_col7\" class=\"data row17 col7\" >0.008091</td>\n",
+       "      <td id=\"T_b0e58_row17_col8\" class=\"data row17 col8\" >0.081477</td>\n",
+       "      <td id=\"T_b0e58_row17_col9\" class=\"data row17 col9\" >0.085765</td>\n",
+       "      <td id=\"T_b0e58_row17_col10\" class=\"data row17 col10\" >0.067988</td>\n",
+       "      <td id=\"T_b0e58_row17_col11\" class=\"data row17 col11\" >0.027659</td>\n",
+       "      <td id=\"T_b0e58_row17_col12\" class=\"data row17 col12\" >0.099919</td>\n",
+       "      <td id=\"T_b0e58_row17_col13\" class=\"data row17 col13\" >-0.038166</td>\n",
+       "      <td id=\"T_b0e58_row17_col14\" class=\"data row17 col14\" >0.002537</td>\n",
+       "      <td id=\"T_b0e58_row17_col15\" class=\"data row17 col15\" >0.119159</td>\n",
+       "      <td id=\"T_b0e58_row17_col16\" class=\"data row17 col16\" >0.000538</td>\n",
+       "      <td id=\"T_b0e58_row17_col17\" class=\"data row17 col17\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row17_col18\" class=\"data row17 col18\" >0.705923</td>\n",
+       "      <td id=\"T_b0e58_row17_col19\" class=\"data row17 col19\" >0.384792</td>\n",
+       "      <td id=\"T_b0e58_row17_col20\" class=\"data row17 col20\" >0.011000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row18\" class=\"row_heading level0 row18\" >ALT</th>\n",
+       "      <td id=\"T_b0e58_row18_col0\" class=\"data row18 col0\" >-0.002951</td>\n",
+       "      <td id=\"T_b0e58_row18_col1\" class=\"data row18 col1\" >-0.064636</td>\n",
+       "      <td id=\"T_b0e58_row18_col2\" class=\"data row18 col2\" >0.127736</td>\n",
+       "      <td id=\"T_b0e58_row18_col3\" class=\"data row18 col3\" >0.250995</td>\n",
+       "      <td id=\"T_b0e58_row18_col4\" class=\"data row18 col4\" >0.018927</td>\n",
+       "      <td id=\"T_b0e58_row18_col5\" class=\"data row18 col5\" >0.024391</td>\n",
+       "      <td id=\"T_b0e58_row18_col6\" class=\"data row18 col6\" >-0.000938</td>\n",
+       "      <td id=\"T_b0e58_row18_col7\" class=\"data row18 col7\" >-0.004033</td>\n",
+       "      <td id=\"T_b0e58_row18_col8\" class=\"data row18 col8\" >0.090247</td>\n",
+       "      <td id=\"T_b0e58_row18_col9\" class=\"data row18 col9\" >0.105948</td>\n",
+       "      <td id=\"T_b0e58_row18_col10\" class=\"data row18 col10\" >0.086332</td>\n",
+       "      <td id=\"T_b0e58_row18_col11\" class=\"data row18 col11\" >0.050510</td>\n",
+       "      <td id=\"T_b0e58_row18_col12\" class=\"data row18 col12\" >0.173265</td>\n",
+       "      <td id=\"T_b0e58_row18_col13\" class=\"data row18 col13\" >-0.130014</td>\n",
+       "      <td id=\"T_b0e58_row18_col14\" class=\"data row18 col14\" >0.031968</td>\n",
+       "      <td id=\"T_b0e58_row18_col15\" class=\"data row18 col15\" >0.197403</td>\n",
+       "      <td id=\"T_b0e58_row18_col16\" class=\"data row18 col16\" >0.001368</td>\n",
+       "      <td id=\"T_b0e58_row18_col17\" class=\"data row18 col17\" >0.705923</td>\n",
+       "      <td id=\"T_b0e58_row18_col18\" class=\"data row18 col18\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row18_col19\" class=\"data row18 col19\" >0.339297</td>\n",
+       "      <td id=\"T_b0e58_row18_col20\" class=\"data row18 col20\" >0.024999</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row19\" class=\"row_heading level0 row19\" >Gtp</th>\n",
+       "      <td id=\"T_b0e58_row19_col0\" class=\"data row19 col0\" >0.000626</td>\n",
+       "      <td id=\"T_b0e58_row19_col1\" class=\"data row19 col1\" >0.013609</td>\n",
+       "      <td id=\"T_b0e58_row19_col2\" class=\"data row19 col2\" >0.140377</td>\n",
+       "      <td id=\"T_b0e58_row19_col3\" class=\"data row19 col3\" >0.210337</td>\n",
+       "      <td id=\"T_b0e58_row19_col4\" class=\"data row19 col4\" >0.002774</td>\n",
+       "      <td id=\"T_b0e58_row19_col5\" class=\"data row19 col5\" >0.011300</td>\n",
+       "      <td id=\"T_b0e58_row19_col6\" class=\"data row19 col6\" >0.012804</td>\n",
+       "      <td id=\"T_b0e58_row19_col7\" class=\"data row19 col7\" >0.009478</td>\n",
+       "      <td id=\"T_b0e58_row19_col8\" class=\"data row19 col8\" >0.164736</td>\n",
+       "      <td id=\"T_b0e58_row19_col9\" class=\"data row19 col9\" >0.180496</td>\n",
+       "      <td id=\"T_b0e58_row19_col10\" class=\"data row19 col10\" >0.185101</td>\n",
+       "      <td id=\"T_b0e58_row19_col11\" class=\"data row19 col11\" >0.082798</td>\n",
+       "      <td id=\"T_b0e58_row19_col12\" class=\"data row19 col12\" >0.302585</td>\n",
+       "      <td id=\"T_b0e58_row19_col13\" class=\"data row19 col13\" >-0.056132</td>\n",
+       "      <td id=\"T_b0e58_row19_col14\" class=\"data row19 col14\" >-0.008297</td>\n",
+       "      <td id=\"T_b0e58_row19_col15\" class=\"data row19 col15\" >0.225616</td>\n",
+       "      <td id=\"T_b0e58_row19_col16\" class=\"data row19 col16\" >0.002177</td>\n",
+       "      <td id=\"T_b0e58_row19_col17\" class=\"data row19 col17\" >0.384792</td>\n",
+       "      <td id=\"T_b0e58_row19_col18\" class=\"data row19 col18\" >0.339297</td>\n",
+       "      <td id=\"T_b0e58_row19_col19\" class=\"data row19 col19\" >1.000000</td>\n",
+       "      <td id=\"T_b0e58_row19_col20\" class=\"data row19 col20\" >0.038433</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_b0e58_level0_row20\" class=\"row_heading level0 row20\" >dental caries</th>\n",
+       "      <td id=\"T_b0e58_row20_col0\" class=\"data row20 col0\" >-0.000513</td>\n",
+       "      <td id=\"T_b0e58_row20_col1\" class=\"data row20 col1\" >-0.111757</td>\n",
+       "      <td id=\"T_b0e58_row20_col2\" class=\"data row20 col2\" >0.080084</td>\n",
+       "      <td id=\"T_b0e58_row20_col3\" class=\"data row20 col3\" >0.075699</td>\n",
+       "      <td id=\"T_b0e58_row20_col4\" class=\"data row20 col4\" >0.001619</td>\n",
+       "      <td id=\"T_b0e58_row20_col5\" class=\"data row20 col5\" >0.015208</td>\n",
+       "      <td id=\"T_b0e58_row20_col6\" class=\"data row20 col6\" >-0.013315</td>\n",
+       "      <td id=\"T_b0e58_row20_col7\" class=\"data row20 col7\" >-0.014462</td>\n",
+       "      <td id=\"T_b0e58_row20_col8\" class=\"data row20 col8\" >0.026269</td>\n",
+       "      <td id=\"T_b0e58_row20_col9\" class=\"data row20 col9\" >0.030347</td>\n",
+       "      <td id=\"T_b0e58_row20_col10\" class=\"data row20 col10\" >-0.001157</td>\n",
+       "      <td id=\"T_b0e58_row20_col11\" class=\"data row20 col11\" >0.001261</td>\n",
+       "      <td id=\"T_b0e58_row20_col12\" class=\"data row20 col12\" >0.026207</td>\n",
+       "      <td id=\"T_b0e58_row20_col13\" class=\"data row20 col13\" >-0.024860</td>\n",
+       "      <td id=\"T_b0e58_row20_col14\" class=\"data row20 col14\" >0.001742</td>\n",
+       "      <td id=\"T_b0e58_row20_col15\" class=\"data row20 col15\" >0.067772</td>\n",
+       "      <td id=\"T_b0e58_row20_col16\" class=\"data row20 col16\" >0.010378</td>\n",
+       "      <td id=\"T_b0e58_row20_col17\" class=\"data row20 col17\" >0.011000</td>\n",
+       "      <td id=\"T_b0e58_row20_col18\" class=\"data row20 col18\" >0.024999</td>\n",
+       "      <td id=\"T_b0e58_row20_col19\" class=\"data row20 col19\" >0.038433</td>\n",
+       "      <td id=\"T_b0e58_row20_col20\" class=\"data row20 col20\" >1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x14ae15210>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x_train.corr().style.background_gradient(\"BuGn\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "gender is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.11248004788507582\n",
+      "age is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.069413556521799\n",
+      "eyesight(left) is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.07168046299012594\n",
+      "eyesight(right) is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.07259718167296321\n",
+      "hearing(left) is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.47493515562649646\n",
+      "hearing(right) is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.4741121308858739\n",
+      "Urine protein is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.3506065104342625\n",
+      "serum creatinine is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.07430462237314046\n",
+      "dental caries is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.28967976855546684\n",
+      "smoking is suspicous for being unbalanced\n",
+      "Standard Deviation in % :  0.155701316839585\n",
+      "Total of Suspicious columns :  10\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Searching for suspicious Unbalanced data\n",
+    "suspicious_cols = []\n",
+    "cols = df.columns\n",
+    "for col in cols:\n",
+    "    values = df[col].value_counts()[:]\n",
+    "    values = values/len(df)\n",
+    "    if (np.max(values) - np.min(values)) > 0.2:\n",
+    "        print(col, \"is suspicous for being unbalanced\")\n",
+    "        suspicious_cols.append(col)\n",
+    "        print(\"Standard Deviation in % : \" , np.std(values))\n",
+    "print(\"Total of Suspicious columns : \",len(suspicious_cols))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 2000x1500 with 12 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Visualizations of frequency of values in each column\n",
+    "fig, axes = plt.subplots(nrows=4, ncols=3,figsize = (20,15))\n",
+    "fig.tight_layout(pad=5.0)\n",
+    "plot = 0\n",
+    "for i in range(4):\n",
+    "    for j in range(3):\n",
+    "        if(plot <10):\n",
+    "            df[[suspicious_cols[plot]]].value_counts().plot(ax=axes[i,j], kind='bar')\n",
+    "            axes[i,j].set_title(suspicious_cols[plot])\n",
+    "            axes[i,j].tick_params(labelrotation=45)\n",
+    "            plot += 1\n",
+    "\n",
+    "\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "  color: #f1f1f1;\n",
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+       "#T_1363e_row14_col0 {\n",
+       "  background-color: #3b4cc0;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_1363e_row15_col0 {\n",
+       "  background-color: #5f7fe8;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_1363e_row18_col0 {\n",
+       "  background-color: #bcd2f7;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_1363e_row20_col0 {\n",
+       "  background-color: #9ebeff;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_1363e_row21_col0 {\n",
+       "  background-color: #cbd8ee;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_1363e_row22_col0 {\n",
+       "  background-color: #8caffe;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_1363e_row23_col0 {\n",
+       "  background-color: #b40426;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_1363e\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_1363e_level0_col0\" class=\"col_heading level0 col0\" >smoking</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row0\" class=\"row_heading level0 row0\" >ID</th>\n",
+       "      <td id=\"T_1363e_row0_col0\" class=\"data row0 col0\" >0.009148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row1\" class=\"row_heading level0 row1\" >age</th>\n",
+       "      <td id=\"T_1363e_row1_col0\" class=\"data row1 col0\" >-0.170487</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row2\" class=\"row_heading level0 row2\" >height(cm)</th>\n",
+       "      <td id=\"T_1363e_row2_col0\" class=\"data row2 col0\" >0.399740</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row3\" class=\"row_heading level0 row3\" >weight(kg)</th>\n",
+       "      <td id=\"T_1363e_row3_col0\" class=\"data row3 col0\" >0.301396</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row4\" class=\"row_heading level0 row4\" >waist(cm)</th>\n",
+       "      <td id=\"T_1363e_row4_col0\" class=\"data row4 col0\" >0.217168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row5\" class=\"row_heading level0 row5\" >eyesight(left)</th>\n",
+       "      <td id=\"T_1363e_row5_col0\" class=\"data row5 col0\" >0.059746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row6\" class=\"row_heading level0 row6\" >eyesight(right)</th>\n",
+       "      <td id=\"T_1363e_row6_col0\" class=\"data row6 col0\" >0.064876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row7\" class=\"row_heading level0 row7\" >hearing(left)</th>\n",
+       "      <td id=\"T_1363e_row7_col0\" class=\"data row7 col0\" >-0.027205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row8\" class=\"row_heading level0 row8\" >hearing(right)</th>\n",
+       "      <td id=\"T_1363e_row8_col0\" class=\"data row8 col0\" >-0.021942</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row9\" class=\"row_heading level0 row9\" >systolic</th>\n",
+       "      <td id=\"T_1363e_row9_col0\" class=\"data row9 col0\" >0.054805</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row10\" class=\"row_heading level0 row10\" >relaxation</th>\n",
+       "      <td id=\"T_1363e_row10_col0\" class=\"data row10 col0\" >0.088302</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row11\" class=\"row_heading level0 row11\" >fasting blood sugar</th>\n",
+       "      <td id=\"T_1363e_row11_col0\" class=\"data row11 col0\" >0.080959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row12\" class=\"row_heading level0 row12\" >Cholesterol</th>\n",
+       "      <td id=\"T_1363e_row12_col0\" class=\"data row12 col0\" >-0.045405</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row13\" class=\"row_heading level0 row13\" >triglyceride</th>\n",
+       "      <td id=\"T_1363e_row13_col0\" class=\"data row13 col0\" >0.228477</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row14\" class=\"row_heading level0 row14\" >HDL</th>\n",
+       "      <td id=\"T_1363e_row14_col0\" class=\"data row14 col0\" >-0.196223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row15\" class=\"row_heading level0 row15\" >LDL</th>\n",
+       "      <td id=\"T_1363e_row15_col0\" class=\"data row15 col0\" >-0.054173</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row16\" class=\"row_heading level0 row16\" >hemoglobin</th>\n",
+       "      <td id=\"T_1363e_row16_col0\" class=\"data row16 col0\" >0.399585</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row17\" class=\"row_heading level0 row17\" >Urine protein</th>\n",
+       "      <td id=\"T_1363e_row17_col0\" class=\"data row17 col0\" >0.006657</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row18\" class=\"row_heading level0 row18\" >serum creatinine</th>\n",
+       "      <td id=\"T_1363e_row18_col0\" class=\"data row18 col0\" >0.267992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row19\" class=\"row_heading level0 row19\" >AST</th>\n",
+       "      <td id=\"T_1363e_row19_col0\" class=\"data row19 col0\" >0.061145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row20\" class=\"row_heading level0 row20\" >ALT</th>\n",
+       "      <td id=\"T_1363e_row20_col0\" class=\"data row20 col0\" >0.160099</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row21\" class=\"row_heading level0 row21\" >Gtp</th>\n",
+       "      <td id=\"T_1363e_row21_col0\" class=\"data row21 col0\" >0.325997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row22\" class=\"row_heading level0 row22\" >dental caries</th>\n",
+       "      <td id=\"T_1363e_row22_col0\" class=\"data row22 col0\" >0.099501</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_1363e_level0_row23\" class=\"row_heading level0 row23\" >smoking</th>\n",
+       "      <td id=\"T_1363e_row23_col0\" class=\"data row23 col0\" >1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x14bc55030>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Correlation of other explaining variables with the target variable\n",
+    "df.corr().loc[:,[\"smoking\"]].style.background_gradient(cmap='coolwarm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "</style>\n",
+       "<table id=\"T_3f9fe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_3f9fe_level0_col0\" class=\"col_heading level0 col0\" >gender</th>\n",
+       "      <th id=\"T_3f9fe_level0_col1\" class=\"col_heading level0 col1\" >oral</th>\n",
+       "      <th id=\"T_3f9fe_level0_col2\" class=\"col_heading level0 col2\" >tartar</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_3f9fe_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
+       "      <td id=\"T_3f9fe_row0_col0\" class=\"data row0 col0\" >40096</td>\n",
+       "      <td id=\"T_3f9fe_row0_col1\" class=\"data row0 col1\" >40096</td>\n",
+       "      <td id=\"T_3f9fe_row0_col2\" class=\"data row0 col2\" >40096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_3f9fe_level0_row1\" class=\"row_heading level0 row1\" >unique</th>\n",
+       "      <td id=\"T_3f9fe_row1_col0\" class=\"data row1 col0\" >2</td>\n",
+       "      <td id=\"T_3f9fe_row1_col1\" class=\"data row1 col1\" >1</td>\n",
+       "      <td id=\"T_3f9fe_row1_col2\" class=\"data row1 col2\" >2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_3f9fe_level0_row2\" class=\"row_heading level0 row2\" >top</th>\n",
+       "      <td id=\"T_3f9fe_row2_col0\" class=\"data row2 col0\" >M</td>\n",
+       "      <td id=\"T_3f9fe_row2_col1\" class=\"data row2 col1\" >Y</td>\n",
+       "      <td id=\"T_3f9fe_row2_col2\" class=\"data row2 col2\" >Y</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_3f9fe_level0_row3\" class=\"row_heading level0 row3\" >freq</th>\n",
+       "      <td id=\"T_3f9fe_row3_col0\" class=\"data row3 col0\" >24558</td>\n",
+       "      <td id=\"T_3f9fe_row3_col1\" class=\"data row3 col1\" >40096</td>\n",
+       "      <td id=\"T_3f9fe_row3_col2\" class=\"data row3 col2\" >22028</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x14b2d0790>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Checking now the categorical variables\n",
+    "display(df.drop(columns = [\"ID\"]).describe(include=np.object).style.background_gradient(cmap='Greens'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Y    22028\n",
+       "N    18068\n",
+       "Name: tartar, dtype: int64"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"tartar\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "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>tartar</th>\n",
+       "      <th>N</th>\n",
+       "      <th>Y</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>smoking</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>12740</td>\n",
+       "      <td>13551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>5328</td>\n",
+       "      <td>8477</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "tartar       N      Y\n",
+       "smoking              \n",
+       "0        12740  13551\n",
+       "1         5328   8477"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "crosstab_results = pd.crosstab(df[\"smoking\"],df[\"tartar\"])\n",
+    "crosstab_results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "13.6    762\n",
+       "13.3    682\n",
+       "13.9    673\n",
+       "13.5    673\n",
+       "13.4    672\n",
+       "       ... \n",
+       "19.0      1\n",
+       "19.5      1\n",
+       "5.5       1\n",
+       "6.1       1\n",
+       "6.2       1\n",
+       "Name: hemoglobin, Length: 130, dtype: int64"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"hemoglobin\"][df[\"smoking\"] == 1].value_counts()\n",
+    "df[\"hemoglobin\"][df[\"smoking\"] == 0].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pval :  2.9840121759907974e-79\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We will run a Chi-squared test under the null hypothesis that the two \n",
+    "# categorical variables are independent of each other.\n",
+    "from scipy.stats import chi2_contingency\n",
+    "chisq_results = chi2_contingency(crosstab_results)\n",
+    "print(\"Pval : \",chisq_results[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Categorizing the fasting blood sugar based on medical standards\n",
+    "df[\"fasting blood sugar\"] = pd.cut(df[\"fasting blood sugar\"], include_lowest=True ,bins = [df[\"fasting blood sugar\"].min()\n",
+    ",80,100,df[\"fasting blood sugar\"].max()] ,labels=[\"Normal\",\"Pre-Diabetes\",\"Diabetes\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Deriving a new feature based on existing features\n",
+    "df[\"BMI\"] = df[\"weight(kg)\"]/((df[\"height(cm)\"]/100)**2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Categorizing the BMI Based on Medical Standards\n",
+    "df[\"BMI\"] = pd.cut(df[\"BMI\"], include_lowest=True ,bins = [df[\"BMI\"].min()\n",
+    ",20,25,30,df[\"BMI\"].max()] ,labels=[\"Underweight\",\"Normal\",\"Overweight\",\"Obese\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Normal         22220\n",
+       "Overweight     11721\n",
+       "Underweight     4411\n",
+       "Obese           1744\n",
+       "Name: BMI, dtype: int64"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"BMI\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Pre-Diabetes    25371\n",
+       "Diabetes        12282\n",
+       "Normal           2443\n",
+       "Name: fasting blood sugar, dtype: int64"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"fasting blood sugar\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Binning the age column\n",
+    "df[\"age\"] = pd.cut(df[\"age\"], bins=3,labels=[\"Young\",\"Middle\",\"Old\"])\n",
+    "#Binning the height column\n",
+    "df[\"height(cm)\"] = pd.cut(df[\"height(cm)\"], bins=3,labels=[\"Short\",\"Middle\",\"Tall\"])\n",
+    "#Binning the weight column\n",
+    "df[\"weight(kg)\"] = pd.cut(df[\"weight(kg)\"], bins=3,labels=[\"Underweight\",\"Normal\",\"Overweight\"])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([    0.,  2500.,  5000.,  7500., 10000., 12500., 15000., 17500.,\n",
+       "        20000., 22500.]),\n",
+       " [Text(0.0, 0, '0'),\n",
+       "  Text(2500.0, 0, '2500'),\n",
+       "  Text(5000.0, 0, '5000'),\n",
+       "  Text(7500.0, 0, '7500'),\n",
+       "  Text(10000.0, 0, '10000'),\n",
+       "  Text(12500.0, 0, '12500'),\n",
+       "  Text(15000.0, 0, '15000'),\n",
+       "  Text(17500.0, 0, '17500'),\n",
+       "  Text(20000.0, 0, '20000'),\n",
+       "  Text(22500.0, 0, '22500')])"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(dpi=80,figsize=(5,5))\n",
+    "df[\"age\"].value_counts().sort_values().plot(kind = \"barh\",alpha = 0.4)\n",
+    "plt.xticks(rotation=45)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.8 ('MLVenv': venv)",
+   "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": "3.10.8"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "8853e68a6290bf026fa043886f5b51d069e543affa32030832444335db4736ec"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}