Human_activity_Kmean.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3a2852fc-6731-4616-8b5a-3c67fbdf14ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from sklearn.metrics import silhouette_score \n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.decomposition import PCA\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e02627da-da0b-4b7e-afcf-5c455127b303",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7f5b3ffc-14af-48c4-befc-58f02ecb41c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tBodyAcc-mean()-X', 'tBodyAcc-mean()-Y', 'tBodyAcc-mean()-Z',\n",
       "       'tBodyAcc-std()-X', 'tBodyAcc-std()-Y', 'tBodyAcc-std()-Z',\n",
       "       'tBodyAcc-mad()-X', 'tBodyAcc-mad()-Y', 'tBodyAcc-mad()-Z',\n",
       "       'tBodyAcc-max()-X',\n",
       "       ...\n",
       "       'fBodyBodyGyroJerkMag-kurtosis()', 'angle(tBodyAccMean,gravity)',\n",
       "       'angle(tBodyAccJerkMean),gravityMean)',\n",
       "       'angle(tBodyGyroMean,gravityMean)',\n",
       "       'angle(tBodyGyroJerkMean,gravityMean)', 'angle(X,gravityMean)',\n",
       "       'angle(Y,gravityMean)', 'angle(Z,gravityMean)', 'subject', 'Activity'],\n",
       "      dtype='object', length=563)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3aa10231-e64a-4210-acb5-098d706d3b54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2947, 563)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bd93cf6a-c7c5-4017-aed6-b73d18ad0f9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>tBodyAcc-mean()-X</th>\n",
       "      <th>tBodyAcc-mean()-Y</th>\n",
       "      <th>tBodyAcc-mean()-Z</th>\n",
       "      <th>tBodyAcc-std()-X</th>\n",
       "      <th>tBodyAcc-std()-Y</th>\n",
       "      <th>tBodyAcc-std()-Z</th>\n",
       "      <th>tBodyAcc-mad()-X</th>\n",
       "      <th>tBodyAcc-mad()-Y</th>\n",
       "      <th>tBodyAcc-mad()-Z</th>\n",
       "      <th>tBodyAcc-max()-X</th>\n",
       "      <th>...</th>\n",
       "      <th>fBodyBodyGyroJerkMag-kurtosis()</th>\n",
       "      <th>angle(tBodyAccMean,gravity)</th>\n",
       "      <th>angle(tBodyAccJerkMean),gravityMean)</th>\n",
       "      <th>angle(tBodyGyroMean,gravityMean)</th>\n",
       "      <th>angle(tBodyGyroJerkMean,gravityMean)</th>\n",
       "      <th>angle(X,gravityMean)</th>\n",
       "      <th>angle(Y,gravityMean)</th>\n",
       "      <th>angle(Z,gravityMean)</th>\n",
       "      <th>subject</th>\n",
       "      <th>Activity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.257178</td>\n",
       "      <td>-0.023285</td>\n",
       "      <td>-0.014654</td>\n",
       "      <td>-0.938404</td>\n",
       "      <td>-0.920091</td>\n",
       "      <td>-0.667683</td>\n",
       "      <td>-0.952501</td>\n",
       "      <td>-0.925249</td>\n",
       "      <td>-0.674302</td>\n",
       "      <td>-0.894088</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.705974</td>\n",
       "      <td>0.006462</td>\n",
       "      <td>0.162920</td>\n",
       "      <td>-0.825886</td>\n",
       "      <td>0.271151</td>\n",
       "      <td>-0.720009</td>\n",
       "      <td>0.276801</td>\n",
       "      <td>-0.057978</td>\n",
       "      <td>2</td>\n",
       "      <td>STANDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.286027</td>\n",
       "      <td>-0.013163</td>\n",
       "      <td>-0.119083</td>\n",
       "      <td>-0.975415</td>\n",
       "      <td>-0.967458</td>\n",
       "      <td>-0.944958</td>\n",
       "      <td>-0.986799</td>\n",
       "      <td>-0.968401</td>\n",
       "      <td>-0.945823</td>\n",
       "      <td>-0.894088</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.594944</td>\n",
       "      <td>-0.083495</td>\n",
       "      <td>0.017500</td>\n",
       "      <td>-0.434375</td>\n",
       "      <td>0.920593</td>\n",
       "      <td>-0.698091</td>\n",
       "      <td>0.281343</td>\n",
       "      <td>-0.083898</td>\n",
       "      <td>2</td>\n",
       "      <td>STANDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.275485</td>\n",
       "      <td>-0.026050</td>\n",
       "      <td>-0.118152</td>\n",
       "      <td>-0.993819</td>\n",
       "      <td>-0.969926</td>\n",
       "      <td>-0.962748</td>\n",
       "      <td>-0.994403</td>\n",
       "      <td>-0.970735</td>\n",
       "      <td>-0.963483</td>\n",
       "      <td>-0.939260</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.640736</td>\n",
       "      <td>-0.034956</td>\n",
       "      <td>0.202302</td>\n",
       "      <td>0.064103</td>\n",
       "      <td>0.145068</td>\n",
       "      <td>-0.702771</td>\n",
       "      <td>0.280083</td>\n",
       "      <td>-0.079346</td>\n",
       "      <td>2</td>\n",
       "      <td>STANDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.270298</td>\n",
       "      <td>-0.032614</td>\n",
       "      <td>-0.117520</td>\n",
       "      <td>-0.994743</td>\n",
       "      <td>-0.973268</td>\n",
       "      <td>-0.967091</td>\n",
       "      <td>-0.995274</td>\n",
       "      <td>-0.974471</td>\n",
       "      <td>-0.968897</td>\n",
       "      <td>-0.938610</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.736124</td>\n",
       "      <td>-0.017067</td>\n",
       "      <td>0.154438</td>\n",
       "      <td>0.340134</td>\n",
       "      <td>0.296407</td>\n",
       "      <td>-0.698954</td>\n",
       "      <td>0.284114</td>\n",
       "      <td>-0.077108</td>\n",
       "      <td>2</td>\n",
       "      <td>STANDING</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.274833</td>\n",
       "      <td>-0.027848</td>\n",
       "      <td>-0.129527</td>\n",
       "      <td>-0.993852</td>\n",
       "      <td>-0.967445</td>\n",
       "      <td>-0.978295</td>\n",
       "      <td>-0.994111</td>\n",
       "      <td>-0.965953</td>\n",
       "      <td>-0.977346</td>\n",
       "      <td>-0.938610</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.846595</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>-0.040046</td>\n",
       "      <td>0.736715</td>\n",
       "      <td>-0.118545</td>\n",
       "      <td>-0.692245</td>\n",
       "      <td>0.290722</td>\n",
       "      <td>-0.073857</td>\n",
       "      <td>2</td>\n",
       "      <td>STANDING</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 563 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   tBodyAcc-mean()-X  tBodyAcc-mean()-Y  tBodyAcc-mean()-Z  tBodyAcc-std()-X  \\\n",
       "0           0.257178          -0.023285          -0.014654         -0.938404   \n",
       "1           0.286027          -0.013163          -0.119083         -0.975415   \n",
       "2           0.275485          -0.026050          -0.118152         -0.993819   \n",
       "3           0.270298          -0.032614          -0.117520         -0.994743   \n",
       "4           0.274833          -0.027848          -0.129527         -0.993852   \n",
       "\n",
       "   tBodyAcc-std()-Y  tBodyAcc-std()-Z  tBodyAcc-mad()-X  tBodyAcc-mad()-Y  \\\n",
       "0         -0.920091         -0.667683         -0.952501         -0.925249   \n",
       "1         -0.967458         -0.944958         -0.986799         -0.968401   \n",
       "2         -0.969926         -0.962748         -0.994403         -0.970735   \n",
       "3         -0.973268         -0.967091         -0.995274         -0.974471   \n",
       "4         -0.967445         -0.978295         -0.994111         -0.965953   \n",
       "\n",
       "   tBodyAcc-mad()-Z  tBodyAcc-max()-X  ...  fBodyBodyGyroJerkMag-kurtosis()  \\\n",
       "0         -0.674302         -0.894088  ...                        -0.705974   \n",
       "1         -0.945823         -0.894088  ...                        -0.594944   \n",
       "2         -0.963483         -0.939260  ...                        -0.640736   \n",
       "3         -0.968897         -0.938610  ...                        -0.736124   \n",
       "4         -0.977346         -0.938610  ...                        -0.846595   \n",
       "\n",
       "   angle(tBodyAccMean,gravity)  angle(tBodyAccJerkMean),gravityMean)  \\\n",
       "0                     0.006462                              0.162920   \n",
       "1                    -0.083495                              0.017500   \n",
       "2                    -0.034956                              0.202302   \n",
       "3                    -0.017067                              0.154438   \n",
       "4                    -0.002223                             -0.040046   \n",
       "\n",
       "   angle(tBodyGyroMean,gravityMean)  angle(tBodyGyroJerkMean,gravityMean)  \\\n",
       "0                         -0.825886                              0.271151   \n",
       "1                         -0.434375                              0.920593   \n",
       "2                          0.064103                              0.145068   \n",
       "3                          0.340134                              0.296407   \n",
       "4                          0.736715                             -0.118545   \n",
       "\n",
       "   angle(X,gravityMean)  angle(Y,gravityMean)  angle(Z,gravityMean)  subject  \\\n",
       "0             -0.720009              0.276801             -0.057978        2   \n",
       "1             -0.698091              0.281343             -0.083898        2   \n",
       "2             -0.702771              0.280083             -0.079346        2   \n",
       "3             -0.698954              0.284114             -0.077108        2   \n",
       "4             -0.692245              0.290722             -0.073857        2   \n",
       "\n",
       "   Activity  \n",
       "0  STANDING  \n",
       "1  STANDING  \n",
       "2  STANDING  \n",
       "3  STANDING  \n",
       "4  STANDING  \n",
       "\n",
       "[5 rows x 563 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "478fbb34-060e-4188-8c52-cff6a823b8a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.dropna()\n",
    "data = data.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "70245289-4f86-4947-88e5-b785709580d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table id=\"T_6e882\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_6e882_level0_col0\" class=\"col_heading level0 col0\" >tBodyAcc-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col1\" class=\"col_heading level0 col1\" >tBodyAcc-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col2\" class=\"col_heading level0 col2\" >tBodyAcc-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col3\" class=\"col_heading level0 col3\" >tBodyAcc-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col4\" class=\"col_heading level0 col4\" >tBodyAcc-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col5\" class=\"col_heading level0 col5\" >tBodyAcc-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col6\" class=\"col_heading level0 col6\" >tBodyAcc-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col7\" class=\"col_heading level0 col7\" >tBodyAcc-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col8\" class=\"col_heading level0 col8\" >tBodyAcc-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col9\" class=\"col_heading level0 col9\" >tBodyAcc-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col10\" class=\"col_heading level0 col10\" >tBodyAcc-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col11\" class=\"col_heading level0 col11\" >tBodyAcc-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col12\" class=\"col_heading level0 col12\" >tBodyAcc-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col13\" class=\"col_heading level0 col13\" >tBodyAcc-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col14\" class=\"col_heading level0 col14\" >tBodyAcc-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col15\" class=\"col_heading level0 col15\" >tBodyAcc-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col16\" class=\"col_heading level0 col16\" >tBodyAcc-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col17\" class=\"col_heading level0 col17\" >tBodyAcc-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col18\" class=\"col_heading level0 col18\" >tBodyAcc-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col19\" class=\"col_heading level0 col19\" >tBodyAcc-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col20\" class=\"col_heading level0 col20\" >tBodyAcc-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col21\" class=\"col_heading level0 col21\" >tBodyAcc-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col22\" class=\"col_heading level0 col22\" >tBodyAcc-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col23\" class=\"col_heading level0 col23\" >tBodyAcc-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col24\" class=\"col_heading level0 col24\" >tBodyAcc-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col25\" class=\"col_heading level0 col25\" >tBodyAcc-arCoeff()-X,1</th>\n",
       "      <th id=\"T_6e882_level0_col26\" class=\"col_heading level0 col26\" >tBodyAcc-arCoeff()-X,2</th>\n",
       "      <th id=\"T_6e882_level0_col27\" class=\"col_heading level0 col27\" >tBodyAcc-arCoeff()-X,3</th>\n",
       "      <th id=\"T_6e882_level0_col28\" class=\"col_heading level0 col28\" >tBodyAcc-arCoeff()-X,4</th>\n",
       "      <th id=\"T_6e882_level0_col29\" class=\"col_heading level0 col29\" >tBodyAcc-arCoeff()-Y,1</th>\n",
       "      <th id=\"T_6e882_level0_col30\" class=\"col_heading level0 col30\" >tBodyAcc-arCoeff()-Y,2</th>\n",
       "      <th id=\"T_6e882_level0_col31\" class=\"col_heading level0 col31\" >tBodyAcc-arCoeff()-Y,3</th>\n",
       "      <th id=\"T_6e882_level0_col32\" class=\"col_heading level0 col32\" >tBodyAcc-arCoeff()-Y,4</th>\n",
       "      <th id=\"T_6e882_level0_col33\" class=\"col_heading level0 col33\" >tBodyAcc-arCoeff()-Z,1</th>\n",
       "      <th id=\"T_6e882_level0_col34\" class=\"col_heading level0 col34\" >tBodyAcc-arCoeff()-Z,2</th>\n",
       "      <th id=\"T_6e882_level0_col35\" class=\"col_heading level0 col35\" >tBodyAcc-arCoeff()-Z,3</th>\n",
       "      <th id=\"T_6e882_level0_col36\" class=\"col_heading level0 col36\" >tBodyAcc-arCoeff()-Z,4</th>\n",
       "      <th id=\"T_6e882_level0_col37\" class=\"col_heading level0 col37\" >tBodyAcc-correlation()-X,Y</th>\n",
       "      <th id=\"T_6e882_level0_col38\" class=\"col_heading level0 col38\" >tBodyAcc-correlation()-X,Z</th>\n",
       "      <th id=\"T_6e882_level0_col39\" class=\"col_heading level0 col39\" >tBodyAcc-correlation()-Y,Z</th>\n",
       "      <th id=\"T_6e882_level0_col40\" class=\"col_heading level0 col40\" >tGravityAcc-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col41\" class=\"col_heading level0 col41\" >tGravityAcc-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col42\" class=\"col_heading level0 col42\" >tGravityAcc-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col43\" class=\"col_heading level0 col43\" >tGravityAcc-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col44\" class=\"col_heading level0 col44\" >tGravityAcc-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col45\" class=\"col_heading level0 col45\" >tGravityAcc-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col46\" class=\"col_heading level0 col46\" >tGravityAcc-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col47\" class=\"col_heading level0 col47\" >tGravityAcc-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col48\" class=\"col_heading level0 col48\" >tGravityAcc-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col49\" class=\"col_heading level0 col49\" >tGravityAcc-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col50\" class=\"col_heading level0 col50\" >tGravityAcc-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col51\" class=\"col_heading level0 col51\" >tGravityAcc-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col52\" class=\"col_heading level0 col52\" >tGravityAcc-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col53\" class=\"col_heading level0 col53\" >tGravityAcc-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col54\" class=\"col_heading level0 col54\" >tGravityAcc-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col55\" class=\"col_heading level0 col55\" >tGravityAcc-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col56\" class=\"col_heading level0 col56\" >tGravityAcc-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col57\" class=\"col_heading level0 col57\" >tGravityAcc-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col58\" class=\"col_heading level0 col58\" >tGravityAcc-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col59\" class=\"col_heading level0 col59\" >tGravityAcc-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col60\" class=\"col_heading level0 col60\" >tGravityAcc-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col61\" class=\"col_heading level0 col61\" >tGravityAcc-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col62\" class=\"col_heading level0 col62\" >tGravityAcc-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col63\" class=\"col_heading level0 col63\" >tGravityAcc-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col64\" class=\"col_heading level0 col64\" >tGravityAcc-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col65\" class=\"col_heading level0 col65\" >tGravityAcc-arCoeff()-X,1</th>\n",
       "      <th id=\"T_6e882_level0_col66\" class=\"col_heading level0 col66\" >tGravityAcc-arCoeff()-X,2</th>\n",
       "      <th id=\"T_6e882_level0_col67\" class=\"col_heading level0 col67\" >tGravityAcc-arCoeff()-X,3</th>\n",
       "      <th id=\"T_6e882_level0_col68\" class=\"col_heading level0 col68\" >tGravityAcc-arCoeff()-X,4</th>\n",
       "      <th id=\"T_6e882_level0_col69\" class=\"col_heading level0 col69\" >tGravityAcc-arCoeff()-Y,1</th>\n",
       "      <th id=\"T_6e882_level0_col70\" class=\"col_heading level0 col70\" >tGravityAcc-arCoeff()-Y,2</th>\n",
       "      <th id=\"T_6e882_level0_col71\" class=\"col_heading level0 col71\" >tGravityAcc-arCoeff()-Y,3</th>\n",
       "      <th id=\"T_6e882_level0_col72\" class=\"col_heading level0 col72\" >tGravityAcc-arCoeff()-Y,4</th>\n",
       "      <th id=\"T_6e882_level0_col73\" class=\"col_heading level0 col73\" >tGravityAcc-arCoeff()-Z,1</th>\n",
       "      <th id=\"T_6e882_level0_col74\" class=\"col_heading level0 col74\" >tGravityAcc-arCoeff()-Z,2</th>\n",
       "      <th id=\"T_6e882_level0_col75\" class=\"col_heading level0 col75\" >tGravityAcc-arCoeff()-Z,3</th>\n",
       "      <th id=\"T_6e882_level0_col76\" class=\"col_heading level0 col76\" >tGravityAcc-arCoeff()-Z,4</th>\n",
       "      <th id=\"T_6e882_level0_col77\" class=\"col_heading level0 col77\" >tGravityAcc-correlation()-X,Y</th>\n",
       "      <th id=\"T_6e882_level0_col78\" class=\"col_heading level0 col78\" >tGravityAcc-correlation()-X,Z</th>\n",
       "      <th id=\"T_6e882_level0_col79\" class=\"col_heading level0 col79\" >tGravityAcc-correlation()-Y,Z</th>\n",
       "      <th id=\"T_6e882_level0_col80\" class=\"col_heading level0 col80\" >tBodyAccJerk-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col81\" class=\"col_heading level0 col81\" >tBodyAccJerk-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col82\" class=\"col_heading level0 col82\" >tBodyAccJerk-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col83\" class=\"col_heading level0 col83\" >tBodyAccJerk-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col84\" class=\"col_heading level0 col84\" >tBodyAccJerk-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col85\" class=\"col_heading level0 col85\" >tBodyAccJerk-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col86\" class=\"col_heading level0 col86\" >tBodyAccJerk-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col87\" class=\"col_heading level0 col87\" >tBodyAccJerk-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col88\" class=\"col_heading level0 col88\" >tBodyAccJerk-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col89\" class=\"col_heading level0 col89\" >tBodyAccJerk-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col90\" class=\"col_heading level0 col90\" >tBodyAccJerk-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col91\" class=\"col_heading level0 col91\" >tBodyAccJerk-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col92\" class=\"col_heading level0 col92\" >tBodyAccJerk-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col93\" class=\"col_heading level0 col93\" >tBodyAccJerk-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col94\" class=\"col_heading level0 col94\" >tBodyAccJerk-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col95\" class=\"col_heading level0 col95\" >tBodyAccJerk-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col96\" class=\"col_heading level0 col96\" >tBodyAccJerk-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col97\" class=\"col_heading level0 col97\" >tBodyAccJerk-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col98\" class=\"col_heading level0 col98\" >tBodyAccJerk-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col99\" class=\"col_heading level0 col99\" >tBodyAccJerk-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col100\" class=\"col_heading level0 col100\" >tBodyAccJerk-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col101\" class=\"col_heading level0 col101\" >tBodyAccJerk-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col102\" class=\"col_heading level0 col102\" >tBodyAccJerk-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col103\" class=\"col_heading level0 col103\" >tBodyAccJerk-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col104\" class=\"col_heading level0 col104\" >tBodyAccJerk-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col105\" class=\"col_heading level0 col105\" >tBodyAccJerk-arCoeff()-X,1</th>\n",
       "      <th id=\"T_6e882_level0_col106\" class=\"col_heading level0 col106\" >tBodyAccJerk-arCoeff()-X,2</th>\n",
       "      <th id=\"T_6e882_level0_col107\" class=\"col_heading level0 col107\" >tBodyAccJerk-arCoeff()-X,3</th>\n",
       "      <th id=\"T_6e882_level0_col108\" class=\"col_heading level0 col108\" >tBodyAccJerk-arCoeff()-X,4</th>\n",
       "      <th id=\"T_6e882_level0_col109\" class=\"col_heading level0 col109\" >tBodyAccJerk-arCoeff()-Y,1</th>\n",
       "      <th id=\"T_6e882_level0_col110\" class=\"col_heading level0 col110\" >tBodyAccJerk-arCoeff()-Y,2</th>\n",
       "      <th id=\"T_6e882_level0_col111\" class=\"col_heading level0 col111\" >tBodyAccJerk-arCoeff()-Y,3</th>\n",
       "      <th id=\"T_6e882_level0_col112\" class=\"col_heading level0 col112\" >tBodyAccJerk-arCoeff()-Y,4</th>\n",
       "      <th id=\"T_6e882_level0_col113\" class=\"col_heading level0 col113\" >tBodyAccJerk-arCoeff()-Z,1</th>\n",
       "      <th id=\"T_6e882_level0_col114\" class=\"col_heading level0 col114\" >tBodyAccJerk-arCoeff()-Z,2</th>\n",
       "      <th id=\"T_6e882_level0_col115\" class=\"col_heading level0 col115\" >tBodyAccJerk-arCoeff()-Z,3</th>\n",
       "      <th id=\"T_6e882_level0_col116\" class=\"col_heading level0 col116\" >tBodyAccJerk-arCoeff()-Z,4</th>\n",
       "      <th id=\"T_6e882_level0_col117\" class=\"col_heading level0 col117\" >tBodyAccJerk-correlation()-X,Y</th>\n",
       "      <th id=\"T_6e882_level0_col118\" class=\"col_heading level0 col118\" >tBodyAccJerk-correlation()-X,Z</th>\n",
       "      <th id=\"T_6e882_level0_col119\" class=\"col_heading level0 col119\" >tBodyAccJerk-correlation()-Y,Z</th>\n",
       "      <th id=\"T_6e882_level0_col120\" class=\"col_heading level0 col120\" >tBodyGyro-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col121\" class=\"col_heading level0 col121\" >tBodyGyro-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col122\" class=\"col_heading level0 col122\" >tBodyGyro-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col123\" class=\"col_heading level0 col123\" >tBodyGyro-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col124\" class=\"col_heading level0 col124\" >tBodyGyro-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col125\" class=\"col_heading level0 col125\" >tBodyGyro-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col126\" class=\"col_heading level0 col126\" >tBodyGyro-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col127\" class=\"col_heading level0 col127\" >tBodyGyro-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col128\" class=\"col_heading level0 col128\" >tBodyGyro-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col129\" class=\"col_heading level0 col129\" >tBodyGyro-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col130\" class=\"col_heading level0 col130\" >tBodyGyro-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col131\" class=\"col_heading level0 col131\" >tBodyGyro-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col132\" class=\"col_heading level0 col132\" >tBodyGyro-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col133\" class=\"col_heading level0 col133\" >tBodyGyro-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col134\" class=\"col_heading level0 col134\" >tBodyGyro-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col135\" class=\"col_heading level0 col135\" >tBodyGyro-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col136\" class=\"col_heading level0 col136\" >tBodyGyro-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col137\" class=\"col_heading level0 col137\" >tBodyGyro-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col138\" class=\"col_heading level0 col138\" >tBodyGyro-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col139\" class=\"col_heading level0 col139\" >tBodyGyro-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col140\" class=\"col_heading level0 col140\" >tBodyGyro-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col141\" class=\"col_heading level0 col141\" >tBodyGyro-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col142\" class=\"col_heading level0 col142\" >tBodyGyro-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col143\" class=\"col_heading level0 col143\" >tBodyGyro-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col144\" class=\"col_heading level0 col144\" >tBodyGyro-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col145\" class=\"col_heading level0 col145\" >tBodyGyro-arCoeff()-X,1</th>\n",
       "      <th id=\"T_6e882_level0_col146\" class=\"col_heading level0 col146\" >tBodyGyro-arCoeff()-X,2</th>\n",
       "      <th id=\"T_6e882_level0_col147\" class=\"col_heading level0 col147\" >tBodyGyro-arCoeff()-X,3</th>\n",
       "      <th id=\"T_6e882_level0_col148\" class=\"col_heading level0 col148\" >tBodyGyro-arCoeff()-X,4</th>\n",
       "      <th id=\"T_6e882_level0_col149\" class=\"col_heading level0 col149\" >tBodyGyro-arCoeff()-Y,1</th>\n",
       "      <th id=\"T_6e882_level0_col150\" class=\"col_heading level0 col150\" >tBodyGyro-arCoeff()-Y,2</th>\n",
       "      <th id=\"T_6e882_level0_col151\" class=\"col_heading level0 col151\" >tBodyGyro-arCoeff()-Y,3</th>\n",
       "      <th id=\"T_6e882_level0_col152\" class=\"col_heading level0 col152\" >tBodyGyro-arCoeff()-Y,4</th>\n",
       "      <th id=\"T_6e882_level0_col153\" class=\"col_heading level0 col153\" >tBodyGyro-arCoeff()-Z,1</th>\n",
       "      <th id=\"T_6e882_level0_col154\" class=\"col_heading level0 col154\" >tBodyGyro-arCoeff()-Z,2</th>\n",
       "      <th id=\"T_6e882_level0_col155\" class=\"col_heading level0 col155\" >tBodyGyro-arCoeff()-Z,3</th>\n",
       "      <th id=\"T_6e882_level0_col156\" class=\"col_heading level0 col156\" >tBodyGyro-arCoeff()-Z,4</th>\n",
       "      <th id=\"T_6e882_level0_col157\" class=\"col_heading level0 col157\" >tBodyGyro-correlation()-X,Y</th>\n",
       "      <th id=\"T_6e882_level0_col158\" class=\"col_heading level0 col158\" >tBodyGyro-correlation()-X,Z</th>\n",
       "      <th id=\"T_6e882_level0_col159\" class=\"col_heading level0 col159\" >tBodyGyro-correlation()-Y,Z</th>\n",
       "      <th id=\"T_6e882_level0_col160\" class=\"col_heading level0 col160\" >tBodyGyroJerk-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col161\" class=\"col_heading level0 col161\" >tBodyGyroJerk-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col162\" class=\"col_heading level0 col162\" >tBodyGyroJerk-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col163\" class=\"col_heading level0 col163\" >tBodyGyroJerk-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col164\" class=\"col_heading level0 col164\" >tBodyGyroJerk-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col165\" class=\"col_heading level0 col165\" >tBodyGyroJerk-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col166\" class=\"col_heading level0 col166\" >tBodyGyroJerk-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col167\" class=\"col_heading level0 col167\" >tBodyGyroJerk-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col168\" class=\"col_heading level0 col168\" >tBodyGyroJerk-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col169\" class=\"col_heading level0 col169\" >tBodyGyroJerk-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col170\" class=\"col_heading level0 col170\" >tBodyGyroJerk-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col171\" class=\"col_heading level0 col171\" >tBodyGyroJerk-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col172\" class=\"col_heading level0 col172\" >tBodyGyroJerk-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col173\" class=\"col_heading level0 col173\" >tBodyGyroJerk-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col174\" class=\"col_heading level0 col174\" >tBodyGyroJerk-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col175\" class=\"col_heading level0 col175\" >tBodyGyroJerk-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col176\" class=\"col_heading level0 col176\" >tBodyGyroJerk-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col177\" class=\"col_heading level0 col177\" >tBodyGyroJerk-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col178\" class=\"col_heading level0 col178\" >tBodyGyroJerk-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col179\" class=\"col_heading level0 col179\" >tBodyGyroJerk-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col180\" class=\"col_heading level0 col180\" >tBodyGyroJerk-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col181\" class=\"col_heading level0 col181\" >tBodyGyroJerk-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col182\" class=\"col_heading level0 col182\" >tBodyGyroJerk-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col183\" class=\"col_heading level0 col183\" >tBodyGyroJerk-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col184\" class=\"col_heading level0 col184\" >tBodyGyroJerk-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col185\" class=\"col_heading level0 col185\" >tBodyGyroJerk-arCoeff()-X,1</th>\n",
       "      <th id=\"T_6e882_level0_col186\" class=\"col_heading level0 col186\" >tBodyGyroJerk-arCoeff()-X,2</th>\n",
       "      <th id=\"T_6e882_level0_col187\" class=\"col_heading level0 col187\" >tBodyGyroJerk-arCoeff()-X,3</th>\n",
       "      <th id=\"T_6e882_level0_col188\" class=\"col_heading level0 col188\" >tBodyGyroJerk-arCoeff()-X,4</th>\n",
       "      <th id=\"T_6e882_level0_col189\" class=\"col_heading level0 col189\" >tBodyGyroJerk-arCoeff()-Y,1</th>\n",
       "      <th id=\"T_6e882_level0_col190\" class=\"col_heading level0 col190\" >tBodyGyroJerk-arCoeff()-Y,2</th>\n",
       "      <th id=\"T_6e882_level0_col191\" class=\"col_heading level0 col191\" >tBodyGyroJerk-arCoeff()-Y,3</th>\n",
       "      <th id=\"T_6e882_level0_col192\" class=\"col_heading level0 col192\" >tBodyGyroJerk-arCoeff()-Y,4</th>\n",
       "      <th id=\"T_6e882_level0_col193\" class=\"col_heading level0 col193\" >tBodyGyroJerk-arCoeff()-Z,1</th>\n",
       "      <th id=\"T_6e882_level0_col194\" class=\"col_heading level0 col194\" >tBodyGyroJerk-arCoeff()-Z,2</th>\n",
       "      <th id=\"T_6e882_level0_col195\" class=\"col_heading level0 col195\" >tBodyGyroJerk-arCoeff()-Z,3</th>\n",
       "      <th id=\"T_6e882_level0_col196\" class=\"col_heading level0 col196\" >tBodyGyroJerk-arCoeff()-Z,4</th>\n",
       "      <th id=\"T_6e882_level0_col197\" class=\"col_heading level0 col197\" >tBodyGyroJerk-correlation()-X,Y</th>\n",
       "      <th id=\"T_6e882_level0_col198\" class=\"col_heading level0 col198\" >tBodyGyroJerk-correlation()-X,Z</th>\n",
       "      <th id=\"T_6e882_level0_col199\" class=\"col_heading level0 col199\" >tBodyGyroJerk-correlation()-Y,Z</th>\n",
       "      <th id=\"T_6e882_level0_col200\" class=\"col_heading level0 col200\" >tBodyAccMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col201\" class=\"col_heading level0 col201\" >tBodyAccMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col202\" class=\"col_heading level0 col202\" >tBodyAccMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col203\" class=\"col_heading level0 col203\" >tBodyAccMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col204\" class=\"col_heading level0 col204\" >tBodyAccMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col205\" class=\"col_heading level0 col205\" >tBodyAccMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col206\" class=\"col_heading level0 col206\" >tBodyAccMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col207\" class=\"col_heading level0 col207\" >tBodyAccMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col208\" class=\"col_heading level0 col208\" >tBodyAccMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col209\" class=\"col_heading level0 col209\" >tBodyAccMag-arCoeff()1</th>\n",
       "      <th id=\"T_6e882_level0_col210\" class=\"col_heading level0 col210\" >tBodyAccMag-arCoeff()2</th>\n",
       "      <th id=\"T_6e882_level0_col211\" class=\"col_heading level0 col211\" >tBodyAccMag-arCoeff()3</th>\n",
       "      <th id=\"T_6e882_level0_col212\" class=\"col_heading level0 col212\" >tBodyAccMag-arCoeff()4</th>\n",
       "      <th id=\"T_6e882_level0_col213\" class=\"col_heading level0 col213\" >tGravityAccMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col214\" class=\"col_heading level0 col214\" >tGravityAccMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col215\" class=\"col_heading level0 col215\" >tGravityAccMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col216\" class=\"col_heading level0 col216\" >tGravityAccMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col217\" class=\"col_heading level0 col217\" >tGravityAccMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col218\" class=\"col_heading level0 col218\" >tGravityAccMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col219\" class=\"col_heading level0 col219\" >tGravityAccMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col220\" class=\"col_heading level0 col220\" >tGravityAccMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col221\" class=\"col_heading level0 col221\" >tGravityAccMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col222\" class=\"col_heading level0 col222\" >tGravityAccMag-arCoeff()1</th>\n",
       "      <th id=\"T_6e882_level0_col223\" class=\"col_heading level0 col223\" >tGravityAccMag-arCoeff()2</th>\n",
       "      <th id=\"T_6e882_level0_col224\" class=\"col_heading level0 col224\" >tGravityAccMag-arCoeff()3</th>\n",
       "      <th id=\"T_6e882_level0_col225\" class=\"col_heading level0 col225\" >tGravityAccMag-arCoeff()4</th>\n",
       "      <th id=\"T_6e882_level0_col226\" class=\"col_heading level0 col226\" >tBodyAccJerkMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col227\" class=\"col_heading level0 col227\" >tBodyAccJerkMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col228\" class=\"col_heading level0 col228\" >tBodyAccJerkMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col229\" class=\"col_heading level0 col229\" >tBodyAccJerkMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col230\" class=\"col_heading level0 col230\" >tBodyAccJerkMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col231\" class=\"col_heading level0 col231\" >tBodyAccJerkMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col232\" class=\"col_heading level0 col232\" >tBodyAccJerkMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col233\" class=\"col_heading level0 col233\" >tBodyAccJerkMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col234\" class=\"col_heading level0 col234\" >tBodyAccJerkMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col235\" class=\"col_heading level0 col235\" >tBodyAccJerkMag-arCoeff()1</th>\n",
       "      <th id=\"T_6e882_level0_col236\" class=\"col_heading level0 col236\" >tBodyAccJerkMag-arCoeff()2</th>\n",
       "      <th id=\"T_6e882_level0_col237\" class=\"col_heading level0 col237\" >tBodyAccJerkMag-arCoeff()3</th>\n",
       "      <th id=\"T_6e882_level0_col238\" class=\"col_heading level0 col238\" >tBodyAccJerkMag-arCoeff()4</th>\n",
       "      <th id=\"T_6e882_level0_col239\" class=\"col_heading level0 col239\" >tBodyGyroMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col240\" class=\"col_heading level0 col240\" >tBodyGyroMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col241\" class=\"col_heading level0 col241\" >tBodyGyroMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col242\" class=\"col_heading level0 col242\" >tBodyGyroMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col243\" class=\"col_heading level0 col243\" >tBodyGyroMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col244\" class=\"col_heading level0 col244\" >tBodyGyroMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col245\" class=\"col_heading level0 col245\" >tBodyGyroMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col246\" class=\"col_heading level0 col246\" >tBodyGyroMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col247\" class=\"col_heading level0 col247\" >tBodyGyroMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col248\" class=\"col_heading level0 col248\" >tBodyGyroMag-arCoeff()1</th>\n",
       "      <th id=\"T_6e882_level0_col249\" class=\"col_heading level0 col249\" >tBodyGyroMag-arCoeff()2</th>\n",
       "      <th id=\"T_6e882_level0_col250\" class=\"col_heading level0 col250\" >tBodyGyroMag-arCoeff()3</th>\n",
       "      <th id=\"T_6e882_level0_col251\" class=\"col_heading level0 col251\" >tBodyGyroMag-arCoeff()4</th>\n",
       "      <th id=\"T_6e882_level0_col252\" class=\"col_heading level0 col252\" >tBodyGyroJerkMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col253\" class=\"col_heading level0 col253\" >tBodyGyroJerkMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col254\" class=\"col_heading level0 col254\" >tBodyGyroJerkMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col255\" class=\"col_heading level0 col255\" >tBodyGyroJerkMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col256\" class=\"col_heading level0 col256\" >tBodyGyroJerkMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col257\" class=\"col_heading level0 col257\" >tBodyGyroJerkMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col258\" class=\"col_heading level0 col258\" >tBodyGyroJerkMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col259\" class=\"col_heading level0 col259\" >tBodyGyroJerkMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col260\" class=\"col_heading level0 col260\" >tBodyGyroJerkMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col261\" class=\"col_heading level0 col261\" >tBodyGyroJerkMag-arCoeff()1</th>\n",
       "      <th id=\"T_6e882_level0_col262\" class=\"col_heading level0 col262\" >tBodyGyroJerkMag-arCoeff()2</th>\n",
       "      <th id=\"T_6e882_level0_col263\" class=\"col_heading level0 col263\" >tBodyGyroJerkMag-arCoeff()3</th>\n",
       "      <th id=\"T_6e882_level0_col264\" class=\"col_heading level0 col264\" >tBodyGyroJerkMag-arCoeff()4</th>\n",
       "      <th id=\"T_6e882_level0_col265\" class=\"col_heading level0 col265\" >fBodyAcc-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col266\" class=\"col_heading level0 col266\" >fBodyAcc-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col267\" class=\"col_heading level0 col267\" >fBodyAcc-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col268\" class=\"col_heading level0 col268\" >fBodyAcc-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col269\" class=\"col_heading level0 col269\" >fBodyAcc-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col270\" class=\"col_heading level0 col270\" >fBodyAcc-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col271\" class=\"col_heading level0 col271\" >fBodyAcc-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col272\" class=\"col_heading level0 col272\" >fBodyAcc-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col273\" class=\"col_heading level0 col273\" >fBodyAcc-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col274\" class=\"col_heading level0 col274\" >fBodyAcc-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col275\" class=\"col_heading level0 col275\" >fBodyAcc-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col276\" class=\"col_heading level0 col276\" >fBodyAcc-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col277\" class=\"col_heading level0 col277\" >fBodyAcc-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col278\" class=\"col_heading level0 col278\" >fBodyAcc-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col279\" class=\"col_heading level0 col279\" >fBodyAcc-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col280\" class=\"col_heading level0 col280\" >fBodyAcc-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col281\" class=\"col_heading level0 col281\" >fBodyAcc-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col282\" class=\"col_heading level0 col282\" >fBodyAcc-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col283\" class=\"col_heading level0 col283\" >fBodyAcc-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col284\" class=\"col_heading level0 col284\" >fBodyAcc-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col285\" class=\"col_heading level0 col285\" >fBodyAcc-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col286\" class=\"col_heading level0 col286\" >fBodyAcc-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col287\" class=\"col_heading level0 col287\" >fBodyAcc-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col288\" class=\"col_heading level0 col288\" >fBodyAcc-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col289\" class=\"col_heading level0 col289\" >fBodyAcc-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col290\" class=\"col_heading level0 col290\" >fBodyAcc-maxInds-X</th>\n",
       "      <th id=\"T_6e882_level0_col291\" class=\"col_heading level0 col291\" >fBodyAcc-maxInds-Y</th>\n",
       "      <th id=\"T_6e882_level0_col292\" class=\"col_heading level0 col292\" >fBodyAcc-maxInds-Z</th>\n",
       "      <th id=\"T_6e882_level0_col293\" class=\"col_heading level0 col293\" >fBodyAcc-meanFreq()-X</th>\n",
       "      <th id=\"T_6e882_level0_col294\" class=\"col_heading level0 col294\" >fBodyAcc-meanFreq()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col295\" class=\"col_heading level0 col295\" >fBodyAcc-meanFreq()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col296\" class=\"col_heading level0 col296\" >fBodyAcc-skewness()-X</th>\n",
       "      <th id=\"T_6e882_level0_col297\" class=\"col_heading level0 col297\" >fBodyAcc-kurtosis()-X</th>\n",
       "      <th id=\"T_6e882_level0_col298\" class=\"col_heading level0 col298\" >fBodyAcc-skewness()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col299\" class=\"col_heading level0 col299\" >fBodyAcc-kurtosis()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col300\" class=\"col_heading level0 col300\" >fBodyAcc-skewness()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col301\" class=\"col_heading level0 col301\" >fBodyAcc-kurtosis()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col302\" class=\"col_heading level0 col302\" >fBodyAcc-bandsEnergy()-1,8</th>\n",
       "      <th id=\"T_6e882_level0_col303\" class=\"col_heading level0 col303\" >fBodyAcc-bandsEnergy()-9,16</th>\n",
       "      <th id=\"T_6e882_level0_col304\" class=\"col_heading level0 col304\" >fBodyAcc-bandsEnergy()-17,24</th>\n",
       "      <th id=\"T_6e882_level0_col305\" class=\"col_heading level0 col305\" >fBodyAcc-bandsEnergy()-25,32</th>\n",
       "      <th id=\"T_6e882_level0_col306\" class=\"col_heading level0 col306\" >fBodyAcc-bandsEnergy()-33,40</th>\n",
       "      <th id=\"T_6e882_level0_col307\" class=\"col_heading level0 col307\" >fBodyAcc-bandsEnergy()-41,48</th>\n",
       "      <th id=\"T_6e882_level0_col308\" class=\"col_heading level0 col308\" >fBodyAcc-bandsEnergy()-49,56</th>\n",
       "      <th id=\"T_6e882_level0_col309\" class=\"col_heading level0 col309\" >fBodyAcc-bandsEnergy()-57,64</th>\n",
       "      <th id=\"T_6e882_level0_col310\" class=\"col_heading level0 col310\" >fBodyAcc-bandsEnergy()-1,16</th>\n",
       "      <th id=\"T_6e882_level0_col311\" class=\"col_heading level0 col311\" >fBodyAcc-bandsEnergy()-17,32</th>\n",
       "      <th id=\"T_6e882_level0_col312\" class=\"col_heading level0 col312\" >fBodyAcc-bandsEnergy()-33,48</th>\n",
       "      <th id=\"T_6e882_level0_col313\" class=\"col_heading level0 col313\" >fBodyAcc-bandsEnergy()-49,64</th>\n",
       "      <th id=\"T_6e882_level0_col314\" class=\"col_heading level0 col314\" >fBodyAcc-bandsEnergy()-1,24</th>\n",
       "      <th id=\"T_6e882_level0_col315\" class=\"col_heading level0 col315\" >fBodyAcc-bandsEnergy()-25,48</th>\n",
       "      <th id=\"T_6e882_level0_col316\" class=\"col_heading level0 col316\" >fBodyAcc-bandsEnergy()-1,8.1</th>\n",
       "      <th id=\"T_6e882_level0_col317\" class=\"col_heading level0 col317\" >fBodyAcc-bandsEnergy()-9,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col318\" class=\"col_heading level0 col318\" >fBodyAcc-bandsEnergy()-17,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col319\" class=\"col_heading level0 col319\" >fBodyAcc-bandsEnergy()-25,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col320\" class=\"col_heading level0 col320\" >fBodyAcc-bandsEnergy()-33,40.1</th>\n",
       "      <th id=\"T_6e882_level0_col321\" class=\"col_heading level0 col321\" >fBodyAcc-bandsEnergy()-41,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col322\" class=\"col_heading level0 col322\" >fBodyAcc-bandsEnergy()-49,56.1</th>\n",
       "      <th id=\"T_6e882_level0_col323\" class=\"col_heading level0 col323\" >fBodyAcc-bandsEnergy()-57,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col324\" class=\"col_heading level0 col324\" >fBodyAcc-bandsEnergy()-1,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col325\" class=\"col_heading level0 col325\" >fBodyAcc-bandsEnergy()-17,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col326\" class=\"col_heading level0 col326\" >fBodyAcc-bandsEnergy()-33,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col327\" class=\"col_heading level0 col327\" >fBodyAcc-bandsEnergy()-49,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col328\" class=\"col_heading level0 col328\" >fBodyAcc-bandsEnergy()-1,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col329\" class=\"col_heading level0 col329\" >fBodyAcc-bandsEnergy()-25,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col330\" class=\"col_heading level0 col330\" >fBodyAcc-bandsEnergy()-1,8.2</th>\n",
       "      <th id=\"T_6e882_level0_col331\" class=\"col_heading level0 col331\" >fBodyAcc-bandsEnergy()-9,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col332\" class=\"col_heading level0 col332\" >fBodyAcc-bandsEnergy()-17,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col333\" class=\"col_heading level0 col333\" >fBodyAcc-bandsEnergy()-25,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col334\" class=\"col_heading level0 col334\" >fBodyAcc-bandsEnergy()-33,40.2</th>\n",
       "      <th id=\"T_6e882_level0_col335\" class=\"col_heading level0 col335\" >fBodyAcc-bandsEnergy()-41,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col336\" class=\"col_heading level0 col336\" >fBodyAcc-bandsEnergy()-49,56.2</th>\n",
       "      <th id=\"T_6e882_level0_col337\" class=\"col_heading level0 col337\" >fBodyAcc-bandsEnergy()-57,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col338\" class=\"col_heading level0 col338\" >fBodyAcc-bandsEnergy()-1,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col339\" class=\"col_heading level0 col339\" >fBodyAcc-bandsEnergy()-17,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col340\" class=\"col_heading level0 col340\" >fBodyAcc-bandsEnergy()-33,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col341\" class=\"col_heading level0 col341\" >fBodyAcc-bandsEnergy()-49,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col342\" class=\"col_heading level0 col342\" >fBodyAcc-bandsEnergy()-1,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col343\" class=\"col_heading level0 col343\" >fBodyAcc-bandsEnergy()-25,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col344\" class=\"col_heading level0 col344\" >fBodyAccJerk-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col345\" class=\"col_heading level0 col345\" >fBodyAccJerk-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col346\" class=\"col_heading level0 col346\" >fBodyAccJerk-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col347\" class=\"col_heading level0 col347\" >fBodyAccJerk-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col348\" class=\"col_heading level0 col348\" >fBodyAccJerk-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col349\" class=\"col_heading level0 col349\" >fBodyAccJerk-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col350\" class=\"col_heading level0 col350\" >fBodyAccJerk-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col351\" class=\"col_heading level0 col351\" >fBodyAccJerk-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col352\" class=\"col_heading level0 col352\" >fBodyAccJerk-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col353\" class=\"col_heading level0 col353\" >fBodyAccJerk-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col354\" class=\"col_heading level0 col354\" >fBodyAccJerk-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col355\" class=\"col_heading level0 col355\" >fBodyAccJerk-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col356\" class=\"col_heading level0 col356\" >fBodyAccJerk-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col357\" class=\"col_heading level0 col357\" >fBodyAccJerk-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col358\" class=\"col_heading level0 col358\" >fBodyAccJerk-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col359\" class=\"col_heading level0 col359\" >fBodyAccJerk-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col360\" class=\"col_heading level0 col360\" >fBodyAccJerk-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col361\" class=\"col_heading level0 col361\" >fBodyAccJerk-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col362\" class=\"col_heading level0 col362\" >fBodyAccJerk-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col363\" class=\"col_heading level0 col363\" >fBodyAccJerk-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col364\" class=\"col_heading level0 col364\" >fBodyAccJerk-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col365\" class=\"col_heading level0 col365\" >fBodyAccJerk-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col366\" class=\"col_heading level0 col366\" >fBodyAccJerk-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col367\" class=\"col_heading level0 col367\" >fBodyAccJerk-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col368\" class=\"col_heading level0 col368\" >fBodyAccJerk-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col369\" class=\"col_heading level0 col369\" >fBodyAccJerk-maxInds-X</th>\n",
       "      <th id=\"T_6e882_level0_col370\" class=\"col_heading level0 col370\" >fBodyAccJerk-maxInds-Y</th>\n",
       "      <th id=\"T_6e882_level0_col371\" class=\"col_heading level0 col371\" >fBodyAccJerk-maxInds-Z</th>\n",
       "      <th id=\"T_6e882_level0_col372\" class=\"col_heading level0 col372\" >fBodyAccJerk-meanFreq()-X</th>\n",
       "      <th id=\"T_6e882_level0_col373\" class=\"col_heading level0 col373\" >fBodyAccJerk-meanFreq()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col374\" class=\"col_heading level0 col374\" >fBodyAccJerk-meanFreq()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col375\" class=\"col_heading level0 col375\" >fBodyAccJerk-skewness()-X</th>\n",
       "      <th id=\"T_6e882_level0_col376\" class=\"col_heading level0 col376\" >fBodyAccJerk-kurtosis()-X</th>\n",
       "      <th id=\"T_6e882_level0_col377\" class=\"col_heading level0 col377\" >fBodyAccJerk-skewness()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col378\" class=\"col_heading level0 col378\" >fBodyAccJerk-kurtosis()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col379\" class=\"col_heading level0 col379\" >fBodyAccJerk-skewness()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col380\" class=\"col_heading level0 col380\" >fBodyAccJerk-kurtosis()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col381\" class=\"col_heading level0 col381\" >fBodyAccJerk-bandsEnergy()-1,8</th>\n",
       "      <th id=\"T_6e882_level0_col382\" class=\"col_heading level0 col382\" >fBodyAccJerk-bandsEnergy()-9,16</th>\n",
       "      <th id=\"T_6e882_level0_col383\" class=\"col_heading level0 col383\" >fBodyAccJerk-bandsEnergy()-17,24</th>\n",
       "      <th id=\"T_6e882_level0_col384\" class=\"col_heading level0 col384\" >fBodyAccJerk-bandsEnergy()-25,32</th>\n",
       "      <th id=\"T_6e882_level0_col385\" class=\"col_heading level0 col385\" >fBodyAccJerk-bandsEnergy()-33,40</th>\n",
       "      <th id=\"T_6e882_level0_col386\" class=\"col_heading level0 col386\" >fBodyAccJerk-bandsEnergy()-41,48</th>\n",
       "      <th id=\"T_6e882_level0_col387\" class=\"col_heading level0 col387\" >fBodyAccJerk-bandsEnergy()-49,56</th>\n",
       "      <th id=\"T_6e882_level0_col388\" class=\"col_heading level0 col388\" >fBodyAccJerk-bandsEnergy()-57,64</th>\n",
       "      <th id=\"T_6e882_level0_col389\" class=\"col_heading level0 col389\" >fBodyAccJerk-bandsEnergy()-1,16</th>\n",
       "      <th id=\"T_6e882_level0_col390\" class=\"col_heading level0 col390\" >fBodyAccJerk-bandsEnergy()-17,32</th>\n",
       "      <th id=\"T_6e882_level0_col391\" class=\"col_heading level0 col391\" >fBodyAccJerk-bandsEnergy()-33,48</th>\n",
       "      <th id=\"T_6e882_level0_col392\" class=\"col_heading level0 col392\" >fBodyAccJerk-bandsEnergy()-49,64</th>\n",
       "      <th id=\"T_6e882_level0_col393\" class=\"col_heading level0 col393\" >fBodyAccJerk-bandsEnergy()-1,24</th>\n",
       "      <th id=\"T_6e882_level0_col394\" class=\"col_heading level0 col394\" >fBodyAccJerk-bandsEnergy()-25,48</th>\n",
       "      <th id=\"T_6e882_level0_col395\" class=\"col_heading level0 col395\" >fBodyAccJerk-bandsEnergy()-1,8.1</th>\n",
       "      <th id=\"T_6e882_level0_col396\" class=\"col_heading level0 col396\" >fBodyAccJerk-bandsEnergy()-9,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col397\" class=\"col_heading level0 col397\" >fBodyAccJerk-bandsEnergy()-17,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col398\" class=\"col_heading level0 col398\" >fBodyAccJerk-bandsEnergy()-25,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col399\" class=\"col_heading level0 col399\" >fBodyAccJerk-bandsEnergy()-33,40.1</th>\n",
       "      <th id=\"T_6e882_level0_col400\" class=\"col_heading level0 col400\" >fBodyAccJerk-bandsEnergy()-41,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col401\" class=\"col_heading level0 col401\" >fBodyAccJerk-bandsEnergy()-49,56.1</th>\n",
       "      <th id=\"T_6e882_level0_col402\" class=\"col_heading level0 col402\" >fBodyAccJerk-bandsEnergy()-57,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col403\" class=\"col_heading level0 col403\" >fBodyAccJerk-bandsEnergy()-1,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col404\" class=\"col_heading level0 col404\" >fBodyAccJerk-bandsEnergy()-17,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col405\" class=\"col_heading level0 col405\" >fBodyAccJerk-bandsEnergy()-33,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col406\" class=\"col_heading level0 col406\" >fBodyAccJerk-bandsEnergy()-49,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col407\" class=\"col_heading level0 col407\" >fBodyAccJerk-bandsEnergy()-1,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col408\" class=\"col_heading level0 col408\" >fBodyAccJerk-bandsEnergy()-25,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col409\" class=\"col_heading level0 col409\" >fBodyAccJerk-bandsEnergy()-1,8.2</th>\n",
       "      <th id=\"T_6e882_level0_col410\" class=\"col_heading level0 col410\" >fBodyAccJerk-bandsEnergy()-9,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col411\" class=\"col_heading level0 col411\" >fBodyAccJerk-bandsEnergy()-17,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col412\" class=\"col_heading level0 col412\" >fBodyAccJerk-bandsEnergy()-25,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col413\" class=\"col_heading level0 col413\" >fBodyAccJerk-bandsEnergy()-33,40.2</th>\n",
       "      <th id=\"T_6e882_level0_col414\" class=\"col_heading level0 col414\" >fBodyAccJerk-bandsEnergy()-41,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col415\" class=\"col_heading level0 col415\" >fBodyAccJerk-bandsEnergy()-49,56.2</th>\n",
       "      <th id=\"T_6e882_level0_col416\" class=\"col_heading level0 col416\" >fBodyAccJerk-bandsEnergy()-57,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col417\" class=\"col_heading level0 col417\" >fBodyAccJerk-bandsEnergy()-1,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col418\" class=\"col_heading level0 col418\" >fBodyAccJerk-bandsEnergy()-17,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col419\" class=\"col_heading level0 col419\" >fBodyAccJerk-bandsEnergy()-33,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col420\" class=\"col_heading level0 col420\" >fBodyAccJerk-bandsEnergy()-49,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col421\" class=\"col_heading level0 col421\" >fBodyAccJerk-bandsEnergy()-1,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col422\" class=\"col_heading level0 col422\" >fBodyAccJerk-bandsEnergy()-25,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col423\" class=\"col_heading level0 col423\" >fBodyGyro-mean()-X</th>\n",
       "      <th id=\"T_6e882_level0_col424\" class=\"col_heading level0 col424\" >fBodyGyro-mean()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col425\" class=\"col_heading level0 col425\" >fBodyGyro-mean()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col426\" class=\"col_heading level0 col426\" >fBodyGyro-std()-X</th>\n",
       "      <th id=\"T_6e882_level0_col427\" class=\"col_heading level0 col427\" >fBodyGyro-std()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col428\" class=\"col_heading level0 col428\" >fBodyGyro-std()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col429\" class=\"col_heading level0 col429\" >fBodyGyro-mad()-X</th>\n",
       "      <th id=\"T_6e882_level0_col430\" class=\"col_heading level0 col430\" >fBodyGyro-mad()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col431\" class=\"col_heading level0 col431\" >fBodyGyro-mad()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col432\" class=\"col_heading level0 col432\" >fBodyGyro-max()-X</th>\n",
       "      <th id=\"T_6e882_level0_col433\" class=\"col_heading level0 col433\" >fBodyGyro-max()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col434\" class=\"col_heading level0 col434\" >fBodyGyro-max()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col435\" class=\"col_heading level0 col435\" >fBodyGyro-min()-X</th>\n",
       "      <th id=\"T_6e882_level0_col436\" class=\"col_heading level0 col436\" >fBodyGyro-min()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col437\" class=\"col_heading level0 col437\" >fBodyGyro-min()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col438\" class=\"col_heading level0 col438\" >fBodyGyro-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col439\" class=\"col_heading level0 col439\" >fBodyGyro-energy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col440\" class=\"col_heading level0 col440\" >fBodyGyro-energy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col441\" class=\"col_heading level0 col441\" >fBodyGyro-energy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col442\" class=\"col_heading level0 col442\" >fBodyGyro-iqr()-X</th>\n",
       "      <th id=\"T_6e882_level0_col443\" class=\"col_heading level0 col443\" >fBodyGyro-iqr()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col444\" class=\"col_heading level0 col444\" >fBodyGyro-iqr()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col445\" class=\"col_heading level0 col445\" >fBodyGyro-entropy()-X</th>\n",
       "      <th id=\"T_6e882_level0_col446\" class=\"col_heading level0 col446\" >fBodyGyro-entropy()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col447\" class=\"col_heading level0 col447\" >fBodyGyro-entropy()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col448\" class=\"col_heading level0 col448\" >fBodyGyro-maxInds-X</th>\n",
       "      <th id=\"T_6e882_level0_col449\" class=\"col_heading level0 col449\" >fBodyGyro-maxInds-Y</th>\n",
       "      <th id=\"T_6e882_level0_col450\" class=\"col_heading level0 col450\" >fBodyGyro-maxInds-Z</th>\n",
       "      <th id=\"T_6e882_level0_col451\" class=\"col_heading level0 col451\" >fBodyGyro-meanFreq()-X</th>\n",
       "      <th id=\"T_6e882_level0_col452\" class=\"col_heading level0 col452\" >fBodyGyro-meanFreq()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col453\" class=\"col_heading level0 col453\" >fBodyGyro-meanFreq()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col454\" class=\"col_heading level0 col454\" >fBodyGyro-skewness()-X</th>\n",
       "      <th id=\"T_6e882_level0_col455\" class=\"col_heading level0 col455\" >fBodyGyro-kurtosis()-X</th>\n",
       "      <th id=\"T_6e882_level0_col456\" class=\"col_heading level0 col456\" >fBodyGyro-skewness()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col457\" class=\"col_heading level0 col457\" >fBodyGyro-kurtosis()-Y</th>\n",
       "      <th id=\"T_6e882_level0_col458\" class=\"col_heading level0 col458\" >fBodyGyro-skewness()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col459\" class=\"col_heading level0 col459\" >fBodyGyro-kurtosis()-Z</th>\n",
       "      <th id=\"T_6e882_level0_col460\" class=\"col_heading level0 col460\" >fBodyGyro-bandsEnergy()-1,8</th>\n",
       "      <th id=\"T_6e882_level0_col461\" class=\"col_heading level0 col461\" >fBodyGyro-bandsEnergy()-9,16</th>\n",
       "      <th id=\"T_6e882_level0_col462\" class=\"col_heading level0 col462\" >fBodyGyro-bandsEnergy()-17,24</th>\n",
       "      <th id=\"T_6e882_level0_col463\" class=\"col_heading level0 col463\" >fBodyGyro-bandsEnergy()-25,32</th>\n",
       "      <th id=\"T_6e882_level0_col464\" class=\"col_heading level0 col464\" >fBodyGyro-bandsEnergy()-33,40</th>\n",
       "      <th id=\"T_6e882_level0_col465\" class=\"col_heading level0 col465\" >fBodyGyro-bandsEnergy()-41,48</th>\n",
       "      <th id=\"T_6e882_level0_col466\" class=\"col_heading level0 col466\" >fBodyGyro-bandsEnergy()-49,56</th>\n",
       "      <th id=\"T_6e882_level0_col467\" class=\"col_heading level0 col467\" >fBodyGyro-bandsEnergy()-57,64</th>\n",
       "      <th id=\"T_6e882_level0_col468\" class=\"col_heading level0 col468\" >fBodyGyro-bandsEnergy()-1,16</th>\n",
       "      <th id=\"T_6e882_level0_col469\" class=\"col_heading level0 col469\" >fBodyGyro-bandsEnergy()-17,32</th>\n",
       "      <th id=\"T_6e882_level0_col470\" class=\"col_heading level0 col470\" >fBodyGyro-bandsEnergy()-33,48</th>\n",
       "      <th id=\"T_6e882_level0_col471\" class=\"col_heading level0 col471\" >fBodyGyro-bandsEnergy()-49,64</th>\n",
       "      <th id=\"T_6e882_level0_col472\" class=\"col_heading level0 col472\" >fBodyGyro-bandsEnergy()-1,24</th>\n",
       "      <th id=\"T_6e882_level0_col473\" class=\"col_heading level0 col473\" >fBodyGyro-bandsEnergy()-25,48</th>\n",
       "      <th id=\"T_6e882_level0_col474\" class=\"col_heading level0 col474\" >fBodyGyro-bandsEnergy()-1,8.1</th>\n",
       "      <th id=\"T_6e882_level0_col475\" class=\"col_heading level0 col475\" >fBodyGyro-bandsEnergy()-9,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col476\" class=\"col_heading level0 col476\" >fBodyGyro-bandsEnergy()-17,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col477\" class=\"col_heading level0 col477\" >fBodyGyro-bandsEnergy()-25,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col478\" class=\"col_heading level0 col478\" >fBodyGyro-bandsEnergy()-33,40.1</th>\n",
       "      <th id=\"T_6e882_level0_col479\" class=\"col_heading level0 col479\" >fBodyGyro-bandsEnergy()-41,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col480\" class=\"col_heading level0 col480\" >fBodyGyro-bandsEnergy()-49,56.1</th>\n",
       "      <th id=\"T_6e882_level0_col481\" class=\"col_heading level0 col481\" >fBodyGyro-bandsEnergy()-57,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col482\" class=\"col_heading level0 col482\" >fBodyGyro-bandsEnergy()-1,16.1</th>\n",
       "      <th id=\"T_6e882_level0_col483\" class=\"col_heading level0 col483\" >fBodyGyro-bandsEnergy()-17,32.1</th>\n",
       "      <th id=\"T_6e882_level0_col484\" class=\"col_heading level0 col484\" >fBodyGyro-bandsEnergy()-33,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col485\" class=\"col_heading level0 col485\" >fBodyGyro-bandsEnergy()-49,64.1</th>\n",
       "      <th id=\"T_6e882_level0_col486\" class=\"col_heading level0 col486\" >fBodyGyro-bandsEnergy()-1,24.1</th>\n",
       "      <th id=\"T_6e882_level0_col487\" class=\"col_heading level0 col487\" >fBodyGyro-bandsEnergy()-25,48.1</th>\n",
       "      <th id=\"T_6e882_level0_col488\" class=\"col_heading level0 col488\" >fBodyGyro-bandsEnergy()-1,8.2</th>\n",
       "      <th id=\"T_6e882_level0_col489\" class=\"col_heading level0 col489\" >fBodyGyro-bandsEnergy()-9,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col490\" class=\"col_heading level0 col490\" >fBodyGyro-bandsEnergy()-17,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col491\" class=\"col_heading level0 col491\" >fBodyGyro-bandsEnergy()-25,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col492\" class=\"col_heading level0 col492\" >fBodyGyro-bandsEnergy()-33,40.2</th>\n",
       "      <th id=\"T_6e882_level0_col493\" class=\"col_heading level0 col493\" >fBodyGyro-bandsEnergy()-41,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col494\" class=\"col_heading level0 col494\" >fBodyGyro-bandsEnergy()-49,56.2</th>\n",
       "      <th id=\"T_6e882_level0_col495\" class=\"col_heading level0 col495\" >fBodyGyro-bandsEnergy()-57,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col496\" class=\"col_heading level0 col496\" >fBodyGyro-bandsEnergy()-1,16.2</th>\n",
       "      <th id=\"T_6e882_level0_col497\" class=\"col_heading level0 col497\" >fBodyGyro-bandsEnergy()-17,32.2</th>\n",
       "      <th id=\"T_6e882_level0_col498\" class=\"col_heading level0 col498\" >fBodyGyro-bandsEnergy()-33,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col499\" class=\"col_heading level0 col499\" >fBodyGyro-bandsEnergy()-49,64.2</th>\n",
       "      <th id=\"T_6e882_level0_col500\" class=\"col_heading level0 col500\" >fBodyGyro-bandsEnergy()-1,24.2</th>\n",
       "      <th id=\"T_6e882_level0_col501\" class=\"col_heading level0 col501\" >fBodyGyro-bandsEnergy()-25,48.2</th>\n",
       "      <th id=\"T_6e882_level0_col502\" class=\"col_heading level0 col502\" >fBodyAccMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col503\" class=\"col_heading level0 col503\" >fBodyAccMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col504\" class=\"col_heading level0 col504\" >fBodyAccMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col505\" class=\"col_heading level0 col505\" >fBodyAccMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col506\" class=\"col_heading level0 col506\" >fBodyAccMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col507\" class=\"col_heading level0 col507\" >fBodyAccMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col508\" class=\"col_heading level0 col508\" >fBodyAccMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col509\" class=\"col_heading level0 col509\" >fBodyAccMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col510\" class=\"col_heading level0 col510\" >fBodyAccMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col511\" class=\"col_heading level0 col511\" >fBodyAccMag-maxInds</th>\n",
       "      <th id=\"T_6e882_level0_col512\" class=\"col_heading level0 col512\" >fBodyAccMag-meanFreq()</th>\n",
       "      <th id=\"T_6e882_level0_col513\" class=\"col_heading level0 col513\" >fBodyAccMag-skewness()</th>\n",
       "      <th id=\"T_6e882_level0_col514\" class=\"col_heading level0 col514\" >fBodyAccMag-kurtosis()</th>\n",
       "      <th id=\"T_6e882_level0_col515\" class=\"col_heading level0 col515\" >fBodyBodyAccJerkMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col516\" class=\"col_heading level0 col516\" >fBodyBodyAccJerkMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col517\" class=\"col_heading level0 col517\" >fBodyBodyAccJerkMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col518\" class=\"col_heading level0 col518\" >fBodyBodyAccJerkMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col519\" class=\"col_heading level0 col519\" >fBodyBodyAccJerkMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col520\" class=\"col_heading level0 col520\" >fBodyBodyAccJerkMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col521\" class=\"col_heading level0 col521\" >fBodyBodyAccJerkMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col522\" class=\"col_heading level0 col522\" >fBodyBodyAccJerkMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col523\" class=\"col_heading level0 col523\" >fBodyBodyAccJerkMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col524\" class=\"col_heading level0 col524\" >fBodyBodyAccJerkMag-maxInds</th>\n",
       "      <th id=\"T_6e882_level0_col525\" class=\"col_heading level0 col525\" >fBodyBodyAccJerkMag-meanFreq()</th>\n",
       "      <th id=\"T_6e882_level0_col526\" class=\"col_heading level0 col526\" >fBodyBodyAccJerkMag-skewness()</th>\n",
       "      <th id=\"T_6e882_level0_col527\" class=\"col_heading level0 col527\" >fBodyBodyAccJerkMag-kurtosis()</th>\n",
       "      <th id=\"T_6e882_level0_col528\" class=\"col_heading level0 col528\" >fBodyBodyGyroMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col529\" class=\"col_heading level0 col529\" >fBodyBodyGyroMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col530\" class=\"col_heading level0 col530\" >fBodyBodyGyroMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col531\" class=\"col_heading level0 col531\" >fBodyBodyGyroMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col532\" class=\"col_heading level0 col532\" >fBodyBodyGyroMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col533\" class=\"col_heading level0 col533\" >fBodyBodyGyroMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col534\" class=\"col_heading level0 col534\" >fBodyBodyGyroMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col535\" class=\"col_heading level0 col535\" >fBodyBodyGyroMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col536\" class=\"col_heading level0 col536\" >fBodyBodyGyroMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col537\" class=\"col_heading level0 col537\" >fBodyBodyGyroMag-maxInds</th>\n",
       "      <th id=\"T_6e882_level0_col538\" class=\"col_heading level0 col538\" >fBodyBodyGyroMag-meanFreq()</th>\n",
       "      <th id=\"T_6e882_level0_col539\" class=\"col_heading level0 col539\" >fBodyBodyGyroMag-skewness()</th>\n",
       "      <th id=\"T_6e882_level0_col540\" class=\"col_heading level0 col540\" >fBodyBodyGyroMag-kurtosis()</th>\n",
       "      <th id=\"T_6e882_level0_col541\" class=\"col_heading level0 col541\" >fBodyBodyGyroJerkMag-mean()</th>\n",
       "      <th id=\"T_6e882_level0_col542\" class=\"col_heading level0 col542\" >fBodyBodyGyroJerkMag-std()</th>\n",
       "      <th id=\"T_6e882_level0_col543\" class=\"col_heading level0 col543\" >fBodyBodyGyroJerkMag-mad()</th>\n",
       "      <th id=\"T_6e882_level0_col544\" class=\"col_heading level0 col544\" >fBodyBodyGyroJerkMag-max()</th>\n",
       "      <th id=\"T_6e882_level0_col545\" class=\"col_heading level0 col545\" >fBodyBodyGyroJerkMag-min()</th>\n",
       "      <th id=\"T_6e882_level0_col546\" class=\"col_heading level0 col546\" >fBodyBodyGyroJerkMag-sma()</th>\n",
       "      <th id=\"T_6e882_level0_col547\" class=\"col_heading level0 col547\" >fBodyBodyGyroJerkMag-energy()</th>\n",
       "      <th id=\"T_6e882_level0_col548\" class=\"col_heading level0 col548\" >fBodyBodyGyroJerkMag-iqr()</th>\n",
       "      <th id=\"T_6e882_level0_col549\" class=\"col_heading level0 col549\" >fBodyBodyGyroJerkMag-entropy()</th>\n",
       "      <th id=\"T_6e882_level0_col550\" class=\"col_heading level0 col550\" >fBodyBodyGyroJerkMag-maxInds</th>\n",
       "      <th id=\"T_6e882_level0_col551\" class=\"col_heading level0 col551\" >fBodyBodyGyroJerkMag-meanFreq()</th>\n",
       "      <th id=\"T_6e882_level0_col552\" class=\"col_heading level0 col552\" >fBodyBodyGyroJerkMag-skewness()</th>\n",
       "      <th id=\"T_6e882_level0_col553\" class=\"col_heading level0 col553\" >fBodyBodyGyroJerkMag-kurtosis()</th>\n",
       "      <th id=\"T_6e882_level0_col554\" class=\"col_heading level0 col554\" >angle(tBodyAccMean,gravity)</th>\n",
       "      <th id=\"T_6e882_level0_col555\" class=\"col_heading level0 col555\" >angle(tBodyAccJerkMean),gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col556\" class=\"col_heading level0 col556\" >angle(tBodyGyroMean,gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col557\" class=\"col_heading level0 col557\" >angle(tBodyGyroJerkMean,gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col558\" class=\"col_heading level0 col558\" >angle(X,gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col559\" class=\"col_heading level0 col559\" >angle(Y,gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col560\" class=\"col_heading level0 col560\" >angle(Z,gravityMean)</th>\n",
       "      <th id=\"T_6e882_level0_col561\" class=\"col_heading level0 col561\" >subject</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "      <td id=\"T_6e882_row0_col0\" class=\"data row0 col0\" >2947.00</td>\n",
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       "      <td id=\"T_6e882_row0_col416\" class=\"data row0 col416\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col417\" class=\"data row0 col417\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col418\" class=\"data row0 col418\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col419\" class=\"data row0 col419\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col420\" class=\"data row0 col420\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col421\" class=\"data row0 col421\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col422\" class=\"data row0 col422\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col423\" class=\"data row0 col423\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col424\" class=\"data row0 col424\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col425\" class=\"data row0 col425\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col426\" class=\"data row0 col426\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col427\" class=\"data row0 col427\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col428\" class=\"data row0 col428\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col429\" class=\"data row0 col429\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col430\" class=\"data row0 col430\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col431\" class=\"data row0 col431\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col432\" class=\"data row0 col432\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col433\" class=\"data row0 col433\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col434\" class=\"data row0 col434\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col435\" class=\"data row0 col435\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col436\" class=\"data row0 col436\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col437\" class=\"data row0 col437\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col438\" class=\"data row0 col438\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col439\" class=\"data row0 col439\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col440\" class=\"data row0 col440\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col441\" class=\"data row0 col441\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col442\" class=\"data row0 col442\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col443\" class=\"data row0 col443\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col444\" class=\"data row0 col444\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col445\" class=\"data row0 col445\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col446\" class=\"data row0 col446\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col447\" class=\"data row0 col447\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col448\" class=\"data row0 col448\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col449\" class=\"data row0 col449\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col450\" class=\"data row0 col450\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col451\" class=\"data row0 col451\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col452\" class=\"data row0 col452\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col453\" class=\"data row0 col453\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col454\" class=\"data row0 col454\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col455\" class=\"data row0 col455\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col456\" class=\"data row0 col456\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col457\" class=\"data row0 col457\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col458\" class=\"data row0 col458\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col459\" class=\"data row0 col459\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col460\" class=\"data row0 col460\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col461\" class=\"data row0 col461\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col462\" class=\"data row0 col462\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col463\" class=\"data row0 col463\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col464\" class=\"data row0 col464\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col465\" class=\"data row0 col465\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col466\" class=\"data row0 col466\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col467\" class=\"data row0 col467\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col468\" class=\"data row0 col468\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col469\" class=\"data row0 col469\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col470\" class=\"data row0 col470\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col471\" class=\"data row0 col471\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col472\" class=\"data row0 col472\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col473\" class=\"data row0 col473\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col474\" class=\"data row0 col474\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col475\" class=\"data row0 col475\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col476\" class=\"data row0 col476\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col477\" class=\"data row0 col477\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col478\" class=\"data row0 col478\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col479\" class=\"data row0 col479\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col480\" class=\"data row0 col480\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col481\" class=\"data row0 col481\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col482\" class=\"data row0 col482\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col483\" class=\"data row0 col483\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col484\" class=\"data row0 col484\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col485\" class=\"data row0 col485\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col486\" class=\"data row0 col486\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col487\" class=\"data row0 col487\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col488\" class=\"data row0 col488\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col489\" class=\"data row0 col489\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col490\" class=\"data row0 col490\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col491\" class=\"data row0 col491\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col492\" class=\"data row0 col492\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col493\" class=\"data row0 col493\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col494\" class=\"data row0 col494\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col495\" class=\"data row0 col495\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col496\" class=\"data row0 col496\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col497\" class=\"data row0 col497\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col498\" class=\"data row0 col498\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col499\" class=\"data row0 col499\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col500\" class=\"data row0 col500\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col501\" class=\"data row0 col501\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col502\" class=\"data row0 col502\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col503\" class=\"data row0 col503\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col504\" class=\"data row0 col504\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col505\" class=\"data row0 col505\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col506\" class=\"data row0 col506\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col507\" class=\"data row0 col507\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col508\" class=\"data row0 col508\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col509\" class=\"data row0 col509\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col510\" class=\"data row0 col510\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col511\" class=\"data row0 col511\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col512\" class=\"data row0 col512\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col513\" class=\"data row0 col513\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col514\" class=\"data row0 col514\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col515\" class=\"data row0 col515\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col516\" class=\"data row0 col516\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col517\" class=\"data row0 col517\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col518\" class=\"data row0 col518\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col519\" class=\"data row0 col519\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col520\" class=\"data row0 col520\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col521\" class=\"data row0 col521\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col522\" class=\"data row0 col522\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col523\" class=\"data row0 col523\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col524\" class=\"data row0 col524\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col525\" class=\"data row0 col525\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col526\" class=\"data row0 col526\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col527\" class=\"data row0 col527\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col528\" class=\"data row0 col528\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col529\" class=\"data row0 col529\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col530\" class=\"data row0 col530\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col531\" class=\"data row0 col531\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col532\" class=\"data row0 col532\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col533\" class=\"data row0 col533\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col534\" class=\"data row0 col534\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col535\" class=\"data row0 col535\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col536\" class=\"data row0 col536\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col537\" class=\"data row0 col537\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col538\" class=\"data row0 col538\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col539\" class=\"data row0 col539\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col540\" class=\"data row0 col540\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col541\" class=\"data row0 col541\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col542\" class=\"data row0 col542\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col543\" class=\"data row0 col543\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col544\" class=\"data row0 col544\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col545\" class=\"data row0 col545\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col546\" class=\"data row0 col546\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col547\" class=\"data row0 col547\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col548\" class=\"data row0 col548\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col549\" class=\"data row0 col549\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col550\" class=\"data row0 col550\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col551\" class=\"data row0 col551\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col552\" class=\"data row0 col552\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col553\" class=\"data row0 col553\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col554\" class=\"data row0 col554\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col555\" class=\"data row0 col555\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col556\" class=\"data row0 col556\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col557\" class=\"data row0 col557\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col558\" class=\"data row0 col558\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col559\" class=\"data row0 col559\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col560\" class=\"data row0 col560\" >2947.00</td>\n",
       "      <td id=\"T_6e882_row0_col561\" class=\"data row0 col561\" >2947.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "      <td id=\"T_6e882_row1_col0\" class=\"data row1 col0\" >0.27</td>\n",
       "      <td id=\"T_6e882_row1_col1\" class=\"data row1 col1\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row1_col2\" class=\"data row1 col2\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row1_col3\" class=\"data row1 col3\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row1_col4\" class=\"data row1 col4\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row1_col5\" class=\"data row1 col5\" >-0.63</td>\n",
       "      <td id=\"T_6e882_row1_col6\" class=\"data row1 col6\" >-0.64</td>\n",
       "      <td id=\"T_6e882_row1_col7\" class=\"data row1 col7\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row1_col8\" class=\"data row1 col8\" >-0.64</td>\n",
       "      <td id=\"T_6e882_row1_col9\" class=\"data row1 col9\" >-0.46</td>\n",
       "      <td id=\"T_6e882_row1_col10\" class=\"data row1 col10\" >-0.30</td>\n",
       "      <td id=\"T_6e882_row1_col11\" class=\"data row1 col11\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row1_col12\" class=\"data row1 col12\" >0.53</td>\n",
       "      <td id=\"T_6e882_row1_col13\" class=\"data row1 col13\" >0.39</td>\n",
       "      <td id=\"T_6e882_row1_col14\" class=\"data row1 col14\" >0.61</td>\n",
       "      <td id=\"T_6e882_row1_col15\" class=\"data row1 col15\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row1_col16\" class=\"data row1 col16\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row1_col17\" class=\"data row1 col17\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col18\" class=\"data row1 col18\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col19\" class=\"data row1 col19\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row1_col20\" class=\"data row1 col20\" >-0.64</td>\n",
       "      <td id=\"T_6e882_row1_col21\" class=\"data row1 col21\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row1_col22\" class=\"data row1 col22\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row1_col23\" class=\"data row1 col23\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row1_col24\" class=\"data row1 col24\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row1_col25\" class=\"data row1 col25\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row1_col26\" class=\"data row1 col26\" >0.12</td>\n",
       "      <td id=\"T_6e882_row1_col27\" class=\"data row1 col27\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row1_col28\" class=\"data row1 col28\" >0.10</td>\n",
       "      <td id=\"T_6e882_row1_col29\" class=\"data row1 col29\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col30\" class=\"data row1 col30\" >0.05</td>\n",
       "      <td id=\"T_6e882_row1_col31\" class=\"data row1 col31\" >0.14</td>\n",
       "      <td id=\"T_6e882_row1_col32\" class=\"data row1 col32\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row1_col33\" class=\"data row1 col33\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row1_col34\" class=\"data row1 col34\" >0.05</td>\n",
       "      <td id=\"T_6e882_row1_col35\" class=\"data row1 col35\" >0.03</td>\n",
       "      <td id=\"T_6e882_row1_col36\" class=\"data row1 col36\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row1_col37\" class=\"data row1 col37\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row1_col38\" class=\"data row1 col38\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row1_col39\" class=\"data row1 col39\" >0.10</td>\n",
       "      <td id=\"T_6e882_row1_col40\" class=\"data row1 col40\" >0.68</td>\n",
       "      <td id=\"T_6e882_row1_col41\" class=\"data row1 col41\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row1_col42\" class=\"data row1 col42\" >0.09</td>\n",
       "      <td id=\"T_6e882_row1_col43\" class=\"data row1 col43\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col44\" class=\"data row1 col44\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col45\" class=\"data row1 col45\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row1_col46\" class=\"data row1 col46\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col47\" class=\"data row1 col47\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col48\" class=\"data row1 col48\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row1_col49\" class=\"data row1 col49\" >0.62</td>\n",
       "      <td id=\"T_6e882_row1_col50\" class=\"data row1 col50\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row1_col51\" class=\"data row1 col51\" >0.09</td>\n",
       "      <td id=\"T_6e882_row1_col52\" class=\"data row1 col52\" >0.70</td>\n",
       "      <td id=\"T_6e882_row1_col53\" class=\"data row1 col53\" >0.00</td>\n",
       "      <td id=\"T_6e882_row1_col54\" class=\"data row1 col54\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col55\" class=\"data row1 col55\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row1_col56\" class=\"data row1 col56\" >0.47</td>\n",
       "      <td id=\"T_6e882_row1_col57\" class=\"data row1 col57\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row1_col58\" class=\"data row1 col58\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row1_col59\" class=\"data row1 col59\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col60\" class=\"data row1 col60\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col61\" class=\"data row1 col61\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row1_col62\" class=\"data row1 col62\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row1_col63\" class=\"data row1 col63\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row1_col64\" class=\"data row1 col64\" >-0.63</td>\n",
       "      <td id=\"T_6e882_row1_col65\" class=\"data row1 col65\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row1_col66\" class=\"data row1 col66\" >0.52</td>\n",
       "      <td id=\"T_6e882_row1_col67\" class=\"data row1 col67\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row1_col68\" class=\"data row1 col68\" >0.60</td>\n",
       "      <td id=\"T_6e882_row1_col69\" class=\"data row1 col69\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row1_col70\" class=\"data row1 col70\" >0.33</td>\n",
       "      <td id=\"T_6e882_row1_col71\" class=\"data row1 col71\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row1_col72\" class=\"data row1 col72\" >0.41</td>\n",
       "      <td id=\"T_6e882_row1_col73\" class=\"data row1 col73\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row1_col74\" class=\"data row1 col74\" >0.45</td>\n",
       "      <td id=\"T_6e882_row1_col75\" class=\"data row1 col75\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row1_col76\" class=\"data row1 col76\" >0.49</td>\n",
       "      <td id=\"T_6e882_row1_col77\" class=\"data row1 col77\" >0.15</td>\n",
       "      <td id=\"T_6e882_row1_col78\" class=\"data row1 col78\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row1_col79\" class=\"data row1 col79\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col80\" class=\"data row1 col80\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col81\" class=\"data row1 col81\" >0.01</td>\n",
       "      <td id=\"T_6e882_row1_col82\" class=\"data row1 col82\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row1_col83\" class=\"data row1 col83\" >-0.63</td>\n",
       "      <td id=\"T_6e882_row1_col84\" class=\"data row1 col84\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row1_col85\" class=\"data row1 col85\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row1_col86\" class=\"data row1 col86\" >-0.63</td>\n",
       "      <td id=\"T_6e882_row1_col87\" class=\"data row1 col87\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row1_col88\" class=\"data row1 col88\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row1_col89\" class=\"data row1 col89\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row1_col90\" class=\"data row1 col90\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row1_col91\" class=\"data row1 col91\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row1_col92\" class=\"data row1 col92\" >0.60</td>\n",
       "      <td id=\"T_6e882_row1_col93\" class=\"data row1 col93\" >0.68</td>\n",
       "      <td id=\"T_6e882_row1_col94\" class=\"data row1 col94\" >0.75</td>\n",
       "      <td id=\"T_6e882_row1_col95\" class=\"data row1 col95\" >-0.64</td>\n",
       "      <td id=\"T_6e882_row1_col96\" class=\"data row1 col96\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row1_col97\" class=\"data row1 col97\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row1_col98\" class=\"data row1 col98\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row1_col99\" class=\"data row1 col99\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row1_col100\" class=\"data row1 col100\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row1_col101\" class=\"data row1 col101\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row1_col102\" class=\"data row1 col102\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col103\" class=\"data row1 col103\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row1_col104\" class=\"data row1 col104\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row1_col105\" class=\"data row1 col105\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row1_col106\" class=\"data row1 col106\" >0.19</td>\n",
       "      <td id=\"T_6e882_row1_col107\" class=\"data row1 col107\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col108\" class=\"data row1 col108\" >0.14</td>\n",
       "      <td id=\"T_6e882_row1_col109\" class=\"data row1 col109\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row1_col110\" class=\"data row1 col110\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col111\" class=\"data row1 col111\" >0.18</td>\n",
       "      <td id=\"T_6e882_row1_col112\" class=\"data row1 col112\" >0.30</td>\n",
       "      <td id=\"T_6e882_row1_col113\" class=\"data row1 col113\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col114\" class=\"data row1 col114\" >0.10</td>\n",
       "      <td id=\"T_6e882_row1_col115\" class=\"data row1 col115\" >0.01</td>\n",
       "      <td id=\"T_6e882_row1_col116\" class=\"data row1 col116\" >0.14</td>\n",
       "      <td id=\"T_6e882_row1_col117\" class=\"data row1 col117\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row1_col118\" class=\"data row1 col118\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row1_col119\" class=\"data row1 col119\" >0.06</td>\n",
       "      <td id=\"T_6e882_row1_col120\" class=\"data row1 col120\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col121\" class=\"data row1 col121\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row1_col122\" class=\"data row1 col122\" >0.09</td>\n",
       "      <td id=\"T_6e882_row1_col123\" class=\"data row1 col123\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row1_col124\" class=\"data row1 col124\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row1_col125\" class=\"data row1 col125\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row1_col126\" class=\"data row1 col126\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col127\" class=\"data row1 col127\" >-0.71</td>\n",
       "      <td id=\"T_6e882_row1_col128\" class=\"data row1 col128\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row1_col129\" class=\"data row1 col129\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row1_col130\" class=\"data row1 col130\" >-0.75</td>\n",
       "      <td id=\"T_6e882_row1_col131\" class=\"data row1 col131\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row1_col132\" class=\"data row1 col132\" >0.63</td>\n",
       "      <td id=\"T_6e882_row1_col133\" class=\"data row1 col133\" >0.74</td>\n",
       "      <td id=\"T_6e882_row1_col134\" class=\"data row1 col134\" >0.55</td>\n",
       "      <td id=\"T_6e882_row1_col135\" class=\"data row1 col135\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row1_col136\" class=\"data row1 col136\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row1_col137\" class=\"data row1 col137\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col138\" class=\"data row1 col138\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col139\" class=\"data row1 col139\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col140\" class=\"data row1 col140\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col141\" class=\"data row1 col141\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row1_col142\" class=\"data row1 col142\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row1_col143\" class=\"data row1 col143\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row1_col144\" class=\"data row1 col144\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row1_col145\" class=\"data row1 col145\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row1_col146\" class=\"data row1 col146\" >0.16</td>\n",
       "      <td id=\"T_6e882_row1_col147\" class=\"data row1 col147\" >0.10</td>\n",
       "      <td id=\"T_6e882_row1_col148\" class=\"data row1 col148\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row1_col149\" class=\"data row1 col149\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row1_col150\" class=\"data row1 col150\" >0.18</td>\n",
       "      <td id=\"T_6e882_row1_col151\" class=\"data row1 col151\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row1_col152\" class=\"data row1 col152\" >0.15</td>\n",
       "      <td id=\"T_6e882_row1_col153\" class=\"data row1 col153\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row1_col154\" class=\"data row1 col154\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col155\" class=\"data row1 col155\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row1_col156\" class=\"data row1 col156\" >0.14</td>\n",
       "      <td id=\"T_6e882_row1_col157\" class=\"data row1 col157\" >-0.16</td>\n",
       "      <td id=\"T_6e882_row1_col158\" class=\"data row1 col158\" >0.05</td>\n",
       "      <td id=\"T_6e882_row1_col159\" class=\"data row1 col159\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row1_col160\" class=\"data row1 col160\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row1_col161\" class=\"data row1 col161\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col162\" class=\"data row1 col162\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row1_col163\" class=\"data row1 col163\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col164\" class=\"data row1 col164\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row1_col165\" class=\"data row1 col165\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col166\" class=\"data row1 col166\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row1_col167\" class=\"data row1 col167\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row1_col168\" class=\"data row1 col168\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row1_col169\" class=\"data row1 col169\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row1_col170\" class=\"data row1 col170\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row1_col171\" class=\"data row1 col171\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col172\" class=\"data row1 col172\" >0.76</td>\n",
       "      <td id=\"T_6e882_row1_col173\" class=\"data row1 col173\" >0.83</td>\n",
       "      <td id=\"T_6e882_row1_col174\" class=\"data row1 col174\" >0.80</td>\n",
       "      <td id=\"T_6e882_row1_col175\" class=\"data row1 col175\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row1_col176\" class=\"data row1 col176\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row1_col177\" class=\"data row1 col177\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row1_col178\" class=\"data row1 col178\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row1_col179\" class=\"data row1 col179\" >-0.75</td>\n",
       "      <td id=\"T_6e882_row1_col180\" class=\"data row1 col180\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row1_col181\" class=\"data row1 col181\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row1_col182\" class=\"data row1 col182\" >0.02</td>\n",
       "      <td id=\"T_6e882_row1_col183\" class=\"data row1 col183\" >0.06</td>\n",
       "      <td id=\"T_6e882_row1_col184\" class=\"data row1 col184\" >0.02</td>\n",
       "      <td id=\"T_6e882_row1_col185\" class=\"data row1 col185\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row1_col186\" class=\"data row1 col186\" >0.06</td>\n",
       "      <td id=\"T_6e882_row1_col187\" class=\"data row1 col187\" >0.16</td>\n",
       "      <td id=\"T_6e882_row1_col188\" class=\"data row1 col188\" >0.14</td>\n",
       "      <td id=\"T_6e882_row1_col189\" class=\"data row1 col189\" >-0.17</td>\n",
       "      <td id=\"T_6e882_row1_col190\" class=\"data row1 col190\" >0.22</td>\n",
       "      <td id=\"T_6e882_row1_col191\" class=\"data row1 col191\" >0.08</td>\n",
       "      <td id=\"T_6e882_row1_col192\" class=\"data row1 col192\" >0.07</td>\n",
       "      <td id=\"T_6e882_row1_col193\" class=\"data row1 col193\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row1_col194\" class=\"data row1 col194\" >0.06</td>\n",
       "      <td id=\"T_6e882_row1_col195\" class=\"data row1 col195\" >0.09</td>\n",
       "      <td id=\"T_6e882_row1_col196\" class=\"data row1 col196\" >0.02</td>\n",
       "      <td id=\"T_6e882_row1_col197\" class=\"data row1 col197\" >0.03</td>\n",
       "      <td id=\"T_6e882_row1_col198\" class=\"data row1 col198\" >0.05</td>\n",
       "      <td id=\"T_6e882_row1_col199\" class=\"data row1 col199\" >-0.08</td>\n",
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       "      <td id=\"T_6e882_row1_col201\" class=\"data row1 col201\" >-0.60</td>\n",
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       "      <td id=\"T_6e882_row1_col204\" class=\"data row1 col204\" >-0.84</td>\n",
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       "      <td id=\"T_6e882_row1_col208\" class=\"data row1 col208\" >0.15</td>\n",
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       "      <td id=\"T_6e882_row1_col210\" class=\"data row1 col210\" >0.02</td>\n",
       "      <td id=\"T_6e882_row1_col211\" class=\"data row1 col211\" >0.05</td>\n",
       "      <td id=\"T_6e882_row1_col212\" class=\"data row1 col212\" >-0.06</td>\n",
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       "      <td id=\"T_6e882_row1_col235\" class=\"data row1 col235\" >0.08</td>\n",
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       "      <td id=\"T_6e882_row1_col247\" class=\"data row1 col247\" >0.30</td>\n",
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       "      <td id=\"T_6e882_row1_col250\" class=\"data row1 col250\" >0.10</td>\n",
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       "      <td id=\"T_6e882_row1_col260\" class=\"data row1 col260\" >0.18</td>\n",
       "      <td id=\"T_6e882_row1_col261\" class=\"data row1 col261\" >0.30</td>\n",
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       "      <td id=\"T_6e882_row1_col478\" class=\"data row1 col478\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row1_col479\" class=\"data row1 col479\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col480\" class=\"data row1 col480\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col481\" class=\"data row1 col481\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row1_col482\" class=\"data row1 col482\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row1_col483\" class=\"data row1 col483\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col484\" class=\"data row1 col484\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row1_col485\" class=\"data row1 col485\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col486\" class=\"data row1 col486\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col487\" class=\"data row1 col487\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col488\" class=\"data row1 col488\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col489\" class=\"data row1 col489\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row1_col490\" class=\"data row1 col490\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row1_col491\" class=\"data row1 col491\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col492\" class=\"data row1 col492\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col493\" class=\"data row1 col493\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col494\" class=\"data row1 col494\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row1_col495\" class=\"data row1 col495\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col496\" class=\"data row1 col496\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col497\" class=\"data row1 col497\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row1_col498\" class=\"data row1 col498\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row1_col499\" class=\"data row1 col499\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col500\" class=\"data row1 col500\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col501\" class=\"data row1 col501\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row1_col502\" class=\"data row1 col502\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row1_col503\" class=\"data row1 col503\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row1_col504\" class=\"data row1 col504\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row1_col505\" class=\"data row1 col505\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row1_col506\" class=\"data row1 col506\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row1_col507\" class=\"data row1 col507\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row1_col508\" class=\"data row1 col508\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row1_col509\" class=\"data row1 col509\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row1_col510\" class=\"data row1 col510\" >-0.17</td>\n",
       "      <td id=\"T_6e882_row1_col511\" class=\"data row1 col511\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row1_col512\" class=\"data row1 col512\" >0.09</td>\n",
       "      <td id=\"T_6e882_row1_col513\" class=\"data row1 col513\" >-0.37</td>\n",
       "      <td id=\"T_6e882_row1_col514\" class=\"data row1 col514\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row1_col515\" class=\"data row1 col515\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row1_col516\" class=\"data row1 col516\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row1_col517\" class=\"data row1 col517\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row1_col518\" class=\"data row1 col518\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row1_col519\" class=\"data row1 col519\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row1_col520\" class=\"data row1 col520\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row1_col521\" class=\"data row1 col521\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row1_col522\" class=\"data row1 col522\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row1_col523\" class=\"data row1 col523\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row1_col524\" class=\"data row1 col524\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col525\" class=\"data row1 col525\" >0.16</td>\n",
       "      <td id=\"T_6e882_row1_col526\" class=\"data row1 col526\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row1_col527\" class=\"data row1 col527\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row1_col528\" class=\"data row1 col528\" >-0.71</td>\n",
       "      <td id=\"T_6e882_row1_col529\" class=\"data row1 col529\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row1_col530\" class=\"data row1 col530\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row1_col531\" class=\"data row1 col531\" >-0.75</td>\n",
       "      <td id=\"T_6e882_row1_col532\" class=\"data row1 col532\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col533\" class=\"data row1 col533\" >-0.71</td>\n",
       "      <td id=\"T_6e882_row1_col534\" class=\"data row1 col534\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col535\" class=\"data row1 col535\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row1_col536\" class=\"data row1 col536\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row1_col537\" class=\"data row1 col537\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row1_col538\" class=\"data row1 col538\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row1_col539\" class=\"data row1 col539\" >-0.29</td>\n",
       "      <td id=\"T_6e882_row1_col540\" class=\"data row1 col540\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row1_col541\" class=\"data row1 col541\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row1_col542\" class=\"data row1 col542\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row1_col543\" class=\"data row1 col543\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row1_col544\" class=\"data row1 col544\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row1_col545\" class=\"data row1 col545\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row1_col546\" class=\"data row1 col546\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row1_col547\" class=\"data row1 col547\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row1_col548\" class=\"data row1 col548\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row1_col549\" class=\"data row1 col549\" >-0.25</td>\n",
       "      <td id=\"T_6e882_row1_col550\" class=\"data row1 col550\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row1_col551\" class=\"data row1 col551\" >0.13</td>\n",
       "      <td id=\"T_6e882_row1_col552\" class=\"data row1 col552\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row1_col553\" class=\"data row1 col553\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row1_col554\" class=\"data row1 col554\" >0.01</td>\n",
       "      <td id=\"T_6e882_row1_col555\" class=\"data row1 col555\" >0.00</td>\n",
       "      <td id=\"T_6e882_row1_col556\" class=\"data row1 col556\" >0.04</td>\n",
       "      <td id=\"T_6e882_row1_col557\" class=\"data row1 col557\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row1_col558\" class=\"data row1 col558\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row1_col559\" class=\"data row1 col559\" >0.07</td>\n",
       "      <td id=\"T_6e882_row1_col560\" class=\"data row1 col560\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row1_col561\" class=\"data row1 col561\" >12.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "      <td id=\"T_6e882_row2_col0\" class=\"data row2 col0\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col1\" class=\"data row2 col1\" >0.03</td>\n",
       "      <td id=\"T_6e882_row2_col2\" class=\"data row2 col2\" >0.04</td>\n",
       "      <td id=\"T_6e882_row2_col3\" class=\"data row2 col3\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col4\" class=\"data row2 col4\" >0.49</td>\n",
       "      <td id=\"T_6e882_row2_col5\" class=\"data row2 col5\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col6\" class=\"data row2 col6\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col7\" class=\"data row2 col7\" >0.48</td>\n",
       "      <td id=\"T_6e882_row2_col8\" class=\"data row2 col8\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col9\" class=\"data row2 col9\" >0.52</td>\n",
       "      <td id=\"T_6e882_row2_col10\" class=\"data row2 col10\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col11\" class=\"data row2 col11\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col12\" class=\"data row2 col12\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col13\" class=\"data row2 col13\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col14\" class=\"data row2 col14\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col15\" class=\"data row2 col15\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col16\" class=\"data row2 col16\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col17\" class=\"data row2 col17\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col18\" class=\"data row2 col18\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col19\" class=\"data row2 col19\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col20\" class=\"data row2 col20\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col21\" class=\"data row2 col21\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col22\" class=\"data row2 col22\" >0.45</td>\n",
       "      <td id=\"T_6e882_row2_col23\" class=\"data row2 col23\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col24\" class=\"data row2 col24\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col25\" class=\"data row2 col25\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col26\" class=\"data row2 col26\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col27\" class=\"data row2 col27\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col28\" class=\"data row2 col28\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col29\" class=\"data row2 col29\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col30\" class=\"data row2 col30\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col31\" class=\"data row2 col31\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col32\" class=\"data row2 col32\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col33\" class=\"data row2 col33\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col34\" class=\"data row2 col34\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col35\" class=\"data row2 col35\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col36\" class=\"data row2 col36\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col37\" class=\"data row2 col37\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col38\" class=\"data row2 col38\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col39\" class=\"data row2 col39\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col40\" class=\"data row2 col40\" >0.51</td>\n",
       "      <td id=\"T_6e882_row2_col41\" class=\"data row2 col41\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col42\" class=\"data row2 col42\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col43\" class=\"data row2 col43\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col44\" class=\"data row2 col44\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col45\" class=\"data row2 col45\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col46\" class=\"data row2 col46\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col47\" class=\"data row2 col47\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col48\" class=\"data row2 col48\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col49\" class=\"data row2 col49\" >0.51</td>\n",
       "      <td id=\"T_6e882_row2_col50\" class=\"data row2 col50\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col51\" class=\"data row2 col51\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col52\" class=\"data row2 col52\" >0.50</td>\n",
       "      <td id=\"T_6e882_row2_col53\" class=\"data row2 col53\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col54\" class=\"data row2 col54\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col55\" class=\"data row2 col55\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col56\" class=\"data row2 col56\" >0.69</td>\n",
       "      <td id=\"T_6e882_row2_col57\" class=\"data row2 col57\" >0.49</td>\n",
       "      <td id=\"T_6e882_row2_col58\" class=\"data row2 col58\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col59\" class=\"data row2 col59\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col60\" class=\"data row2 col60\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col61\" class=\"data row2 col61\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col62\" class=\"data row2 col62\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col63\" class=\"data row2 col63\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col64\" class=\"data row2 col64\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col65\" class=\"data row2 col65\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col66\" class=\"data row2 col66\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col67\" class=\"data row2 col67\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col68\" class=\"data row2 col68\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col69\" class=\"data row2 col69\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col70\" class=\"data row2 col70\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col71\" class=\"data row2 col71\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col72\" class=\"data row2 col72\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col73\" class=\"data row2 col73\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col74\" class=\"data row2 col74\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col75\" class=\"data row2 col75\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col76\" class=\"data row2 col76\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col77\" class=\"data row2 col77\" >0.69</td>\n",
       "      <td id=\"T_6e882_row2_col78\" class=\"data row2 col78\" >0.69</td>\n",
       "      <td id=\"T_6e882_row2_col79\" class=\"data row2 col79\" >0.69</td>\n",
       "      <td id=\"T_6e882_row2_col80\" class=\"data row2 col80\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col81\" class=\"data row2 col81\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col82\" class=\"data row2 col82\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col83\" class=\"data row2 col83\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col84\" class=\"data row2 col84\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col85\" class=\"data row2 col85\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col86\" class=\"data row2 col86\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col87\" class=\"data row2 col87\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col88\" class=\"data row2 col88\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col89\" class=\"data row2 col89\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col90\" class=\"data row2 col90\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col91\" class=\"data row2 col91\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col92\" class=\"data row2 col92\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col93\" class=\"data row2 col93\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col94\" class=\"data row2 col94\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col95\" class=\"data row2 col95\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col96\" class=\"data row2 col96\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col97\" class=\"data row2 col97\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col98\" class=\"data row2 col98\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col99\" class=\"data row2 col99\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col100\" class=\"data row2 col100\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col101\" class=\"data row2 col101\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col102\" class=\"data row2 col102\" >0.65</td>\n",
       "      <td id=\"T_6e882_row2_col103\" class=\"data row2 col103\" >0.62</td>\n",
       "      <td id=\"T_6e882_row2_col104\" class=\"data row2 col104\" >0.59</td>\n",
       "      <td id=\"T_6e882_row2_col105\" class=\"data row2 col105\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col106\" class=\"data row2 col106\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col107\" class=\"data row2 col107\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col108\" class=\"data row2 col108\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col109\" class=\"data row2 col109\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col110\" class=\"data row2 col110\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col111\" class=\"data row2 col111\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col112\" class=\"data row2 col112\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col113\" class=\"data row2 col113\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col114\" class=\"data row2 col114\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col115\" class=\"data row2 col115\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col116\" class=\"data row2 col116\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col117\" class=\"data row2 col117\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col118\" class=\"data row2 col118\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col119\" class=\"data row2 col119\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col120\" class=\"data row2 col120\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col121\" class=\"data row2 col121\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col122\" class=\"data row2 col122\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col123\" class=\"data row2 col123\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col124\" class=\"data row2 col124\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col125\" class=\"data row2 col125\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col126\" class=\"data row2 col126\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col127\" class=\"data row2 col127\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col128\" class=\"data row2 col128\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col129\" class=\"data row2 col129\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col130\" class=\"data row2 col130\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col131\" class=\"data row2 col131\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col132\" class=\"data row2 col132\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col133\" class=\"data row2 col133\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col134\" class=\"data row2 col134\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col135\" class=\"data row2 col135\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col136\" class=\"data row2 col136\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col137\" class=\"data row2 col137\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col138\" class=\"data row2 col138\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col139\" class=\"data row2 col139\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col140\" class=\"data row2 col140\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col141\" class=\"data row2 col141\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col142\" class=\"data row2 col142\" >0.45</td>\n",
       "      <td id=\"T_6e882_row2_col143\" class=\"data row2 col143\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col144\" class=\"data row2 col144\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col145\" class=\"data row2 col145\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col146\" class=\"data row2 col146\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col147\" class=\"data row2 col147\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col148\" class=\"data row2 col148\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col149\" class=\"data row2 col149\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col150\" class=\"data row2 col150\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col151\" class=\"data row2 col151\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col152\" class=\"data row2 col152\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col153\" class=\"data row2 col153\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col154\" class=\"data row2 col154\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col155\" class=\"data row2 col155\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col156\" class=\"data row2 col156\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col157\" class=\"data row2 col157\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col158\" class=\"data row2 col158\" >0.37</td>\n",
       "      <td id=\"T_6e882_row2_col159\" class=\"data row2 col159\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col160\" class=\"data row2 col160\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col161\" class=\"data row2 col161\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col162\" class=\"data row2 col162\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col163\" class=\"data row2 col163\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col164\" class=\"data row2 col164\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col165\" class=\"data row2 col165\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col166\" class=\"data row2 col166\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col167\" class=\"data row2 col167\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col168\" class=\"data row2 col168\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col169\" class=\"data row2 col169\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col170\" class=\"data row2 col170\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col171\" class=\"data row2 col171\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col172\" class=\"data row2 col172\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col173\" class=\"data row2 col173\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col174\" class=\"data row2 col174\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col175\" class=\"data row2 col175\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col176\" class=\"data row2 col176\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col177\" class=\"data row2 col177\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col178\" class=\"data row2 col178\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col179\" class=\"data row2 col179\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col180\" class=\"data row2 col180\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col181\" class=\"data row2 col181\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col182\" class=\"data row2 col182\" >0.54</td>\n",
       "      <td id=\"T_6e882_row2_col183\" class=\"data row2 col183\" >0.51</td>\n",
       "      <td id=\"T_6e882_row2_col184\" class=\"data row2 col184\" >0.56</td>\n",
       "      <td id=\"T_6e882_row2_col185\" class=\"data row2 col185\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col186\" class=\"data row2 col186\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col187\" class=\"data row2 col187\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col188\" class=\"data row2 col188\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col189\" class=\"data row2 col189\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col190\" class=\"data row2 col190\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col191\" class=\"data row2 col191\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col192\" class=\"data row2 col192\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col193\" class=\"data row2 col193\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col194\" class=\"data row2 col194\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col195\" class=\"data row2 col195\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col196\" class=\"data row2 col196\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col197\" class=\"data row2 col197\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col198\" class=\"data row2 col198\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col199\" class=\"data row2 col199\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col200\" class=\"data row2 col200\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col201\" class=\"data row2 col201\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col202\" class=\"data row2 col202\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col203\" class=\"data row2 col203\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col204\" class=\"data row2 col204\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col205\" class=\"data row2 col205\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col206\" class=\"data row2 col206\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col207\" class=\"data row2 col207\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col208\" class=\"data row2 col208\" >0.65</td>\n",
       "      <td id=\"T_6e882_row2_col209\" class=\"data row2 col209\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col210\" class=\"data row2 col210\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col211\" class=\"data row2 col211\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col212\" class=\"data row2 col212\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col213\" class=\"data row2 col213\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col214\" class=\"data row2 col214\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col215\" class=\"data row2 col215\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col216\" class=\"data row2 col216\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col217\" class=\"data row2 col217\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col218\" class=\"data row2 col218\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col219\" class=\"data row2 col219\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col220\" class=\"data row2 col220\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col221\" class=\"data row2 col221\" >0.65</td>\n",
       "      <td id=\"T_6e882_row2_col222\" class=\"data row2 col222\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col223\" class=\"data row2 col223\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col224\" class=\"data row2 col224\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col225\" class=\"data row2 col225\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col226\" class=\"data row2 col226\" >0.37</td>\n",
       "      <td id=\"T_6e882_row2_col227\" class=\"data row2 col227\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col228\" class=\"data row2 col228\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col229\" class=\"data row2 col229\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col230\" class=\"data row2 col230\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col231\" class=\"data row2 col231\" >0.37</td>\n",
       "      <td id=\"T_6e882_row2_col232\" class=\"data row2 col232\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col233\" class=\"data row2 col233\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col234\" class=\"data row2 col234\" >0.71</td>\n",
       "      <td id=\"T_6e882_row2_col235\" class=\"data row2 col235\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col236\" class=\"data row2 col236\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col237\" class=\"data row2 col237\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col238\" class=\"data row2 col238\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col239\" class=\"data row2 col239\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col240\" class=\"data row2 col240\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col241\" class=\"data row2 col241\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col242\" class=\"data row2 col242\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col243\" class=\"data row2 col243\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col244\" class=\"data row2 col244\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col245\" class=\"data row2 col245\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col246\" class=\"data row2 col246\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col247\" class=\"data row2 col247\" >0.46</td>\n",
       "      <td id=\"T_6e882_row2_col248\" class=\"data row2 col248\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col249\" class=\"data row2 col249\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col250\" class=\"data row2 col250\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col251\" class=\"data row2 col251\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col252\" class=\"data row2 col252\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col253\" class=\"data row2 col253\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col254\" class=\"data row2 col254\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col255\" class=\"data row2 col255\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col256\" class=\"data row2 col256\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col257\" class=\"data row2 col257\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col258\" class=\"data row2 col258\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col259\" class=\"data row2 col259\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col260\" class=\"data row2 col260\" >0.66</td>\n",
       "      <td id=\"T_6e882_row2_col261\" class=\"data row2 col261\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col262\" class=\"data row2 col262\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col263\" class=\"data row2 col263\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col264\" class=\"data row2 col264\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col265\" class=\"data row2 col265\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col266\" class=\"data row2 col266\" >0.48</td>\n",
       "      <td id=\"T_6e882_row2_col267\" class=\"data row2 col267\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col268\" class=\"data row2 col268\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col269\" class=\"data row2 col269\" >0.47</td>\n",
       "      <td id=\"T_6e882_row2_col270\" class=\"data row2 col270\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col271\" class=\"data row2 col271\" >0.44</td>\n",
       "      <td id=\"T_6e882_row2_col272\" class=\"data row2 col272\" >0.49</td>\n",
       "      <td id=\"T_6e882_row2_col273\" class=\"data row2 col273\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col274\" class=\"data row2 col274\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col275\" class=\"data row2 col275\" >0.36</td>\n",
       "      <td id=\"T_6e882_row2_col276\" class=\"data row2 col276\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col277\" class=\"data row2 col277\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col278\" class=\"data row2 col278\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col279\" class=\"data row2 col279\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col280\" class=\"data row2 col280\" >0.45</td>\n",
       "      <td id=\"T_6e882_row2_col281\" class=\"data row2 col281\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col282\" class=\"data row2 col282\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col283\" class=\"data row2 col283\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col284\" class=\"data row2 col284\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col285\" class=\"data row2 col285\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col286\" class=\"data row2 col286\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col287\" class=\"data row2 col287\" >0.72</td>\n",
       "      <td id=\"T_6e882_row2_col288\" class=\"data row2 col288\" >0.66</td>\n",
       "      <td id=\"T_6e882_row2_col289\" class=\"data row2 col289\" >0.60</td>\n",
       "      <td id=\"T_6e882_row2_col290\" class=\"data row2 col290\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col291\" class=\"data row2 col291\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col292\" class=\"data row2 col292\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col293\" class=\"data row2 col293\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col294\" class=\"data row2 col294\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col295\" class=\"data row2 col295\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col296\" class=\"data row2 col296\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col297\" class=\"data row2 col297\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col298\" class=\"data row2 col298\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col299\" class=\"data row2 col299\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col300\" class=\"data row2 col300\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col301\" class=\"data row2 col301\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col302\" class=\"data row2 col302\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col303\" class=\"data row2 col303\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col304\" class=\"data row2 col304\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col305\" class=\"data row2 col305\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col306\" class=\"data row2 col306\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col307\" class=\"data row2 col307\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col308\" class=\"data row2 col308\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col309\" class=\"data row2 col309\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col310\" class=\"data row2 col310\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col311\" class=\"data row2 col311\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col312\" class=\"data row2 col312\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col313\" class=\"data row2 col313\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col314\" class=\"data row2 col314\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col315\" class=\"data row2 col315\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col316\" class=\"data row2 col316\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col317\" class=\"data row2 col317\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col318\" class=\"data row2 col318\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col319\" class=\"data row2 col319\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col320\" class=\"data row2 col320\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col321\" class=\"data row2 col321\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col322\" class=\"data row2 col322\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col323\" class=\"data row2 col323\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col324\" class=\"data row2 col324\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col325\" class=\"data row2 col325\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col326\" class=\"data row2 col326\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col327\" class=\"data row2 col327\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col328\" class=\"data row2 col328\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col329\" class=\"data row2 col329\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col330\" class=\"data row2 col330\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col331\" class=\"data row2 col331\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col332\" class=\"data row2 col332\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col333\" class=\"data row2 col333\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col334\" class=\"data row2 col334\" >0.05</td>\n",
       "      <td id=\"T_6e882_row2_col335\" class=\"data row2 col335\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col336\" class=\"data row2 col336\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col337\" class=\"data row2 col337\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col338\" class=\"data row2 col338\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col339\" class=\"data row2 col339\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col340\" class=\"data row2 col340\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col341\" class=\"data row2 col341\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col342\" class=\"data row2 col342\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col343\" class=\"data row2 col343\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col344\" class=\"data row2 col344\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col345\" class=\"data row2 col345\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col346\" class=\"data row2 col346\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col347\" class=\"data row2 col347\" >0.39</td>\n",
       "      <td id=\"T_6e882_row2_col348\" class=\"data row2 col348\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col349\" class=\"data row2 col349\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col350\" class=\"data row2 col350\" >0.45</td>\n",
       "      <td id=\"T_6e882_row2_col351\" class=\"data row2 col351\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col352\" class=\"data row2 col352\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col353\" class=\"data row2 col353\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col354\" class=\"data row2 col354\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col355\" class=\"data row2 col355\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col356\" class=\"data row2 col356\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col357\" class=\"data row2 col357\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col358\" class=\"data row2 col358\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col359\" class=\"data row2 col359\" >0.40</td>\n",
       "      <td id=\"T_6e882_row2_col360\" class=\"data row2 col360\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col361\" class=\"data row2 col361\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col362\" class=\"data row2 col362\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col363\" class=\"data row2 col363\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col364\" class=\"data row2 col364\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col365\" class=\"data row2 col365\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col366\" class=\"data row2 col366\" >0.74</td>\n",
       "      <td id=\"T_6e882_row2_col367\" class=\"data row2 col367\" >0.73</td>\n",
       "      <td id=\"T_6e882_row2_col368\" class=\"data row2 col368\" >0.62</td>\n",
       "      <td id=\"T_6e882_row2_col369\" class=\"data row2 col369\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col370\" class=\"data row2 col370\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col371\" class=\"data row2 col371\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col372\" class=\"data row2 col372\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col373\" class=\"data row2 col373\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col374\" class=\"data row2 col374\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col375\" class=\"data row2 col375\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col376\" class=\"data row2 col376\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col377\" class=\"data row2 col377\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col378\" class=\"data row2 col378\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col379\" class=\"data row2 col379\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col380\" class=\"data row2 col380\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col381\" class=\"data row2 col381\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col382\" class=\"data row2 col382\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col383\" class=\"data row2 col383\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col384\" class=\"data row2 col384\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col385\" class=\"data row2 col385\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col386\" class=\"data row2 col386\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col387\" class=\"data row2 col387\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col388\" class=\"data row2 col388\" >0.04</td>\n",
       "      <td id=\"T_6e882_row2_col389\" class=\"data row2 col389\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col390\" class=\"data row2 col390\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col391\" class=\"data row2 col391\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col392\" class=\"data row2 col392\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col393\" class=\"data row2 col393\" >0.21</td>\n",
       "      <td id=\"T_6e882_row2_col394\" class=\"data row2 col394\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col395\" class=\"data row2 col395\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col396\" class=\"data row2 col396\" >0.20</td>\n",
       "      <td id=\"T_6e882_row2_col397\" class=\"data row2 col397\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col398\" class=\"data row2 col398\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col399\" class=\"data row2 col399\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col400\" class=\"data row2 col400\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col401\" class=\"data row2 col401\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col402\" class=\"data row2 col402\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col403\" class=\"data row2 col403\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col404\" class=\"data row2 col404\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col405\" class=\"data row2 col405\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col406\" class=\"data row2 col406\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col407\" class=\"data row2 col407\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col408\" class=\"data row2 col408\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col409\" class=\"data row2 col409\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col410\" class=\"data row2 col410\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col411\" class=\"data row2 col411\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col412\" class=\"data row2 col412\" >0.05</td>\n",
       "      <td id=\"T_6e882_row2_col413\" class=\"data row2 col413\" >0.05</td>\n",
       "      <td id=\"T_6e882_row2_col414\" class=\"data row2 col414\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col415\" class=\"data row2 col415\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col416\" class=\"data row2 col416\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col417\" class=\"data row2 col417\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col418\" class=\"data row2 col418\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col419\" class=\"data row2 col419\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col420\" class=\"data row2 col420\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col421\" class=\"data row2 col421\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col422\" class=\"data row2 col422\" >0.05</td>\n",
       "      <td id=\"T_6e882_row2_col423\" class=\"data row2 col423\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col424\" class=\"data row2 col424\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col425\" class=\"data row2 col425\" >0.37</td>\n",
       "      <td id=\"T_6e882_row2_col426\" class=\"data row2 col426\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col427\" class=\"data row2 col427\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col428\" class=\"data row2 col428\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col429\" class=\"data row2 col429\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col430\" class=\"data row2 col430\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col431\" class=\"data row2 col431\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col432\" class=\"data row2 col432\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col433\" class=\"data row2 col433\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col434\" class=\"data row2 col434\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col435\" class=\"data row2 col435\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col436\" class=\"data row2 col436\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col437\" class=\"data row2 col437\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col438\" class=\"data row2 col438\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col439\" class=\"data row2 col439\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col440\" class=\"data row2 col440\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col441\" class=\"data row2 col441\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col442\" class=\"data row2 col442\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col443\" class=\"data row2 col443\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col444\" class=\"data row2 col444\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col445\" class=\"data row2 col445\" >0.59</td>\n",
       "      <td id=\"T_6e882_row2_col446\" class=\"data row2 col446\" >0.59</td>\n",
       "      <td id=\"T_6e882_row2_col447\" class=\"data row2 col447\" >0.59</td>\n",
       "      <td id=\"T_6e882_row2_col448\" class=\"data row2 col448\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col449\" class=\"data row2 col449\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col450\" class=\"data row2 col450\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col451\" class=\"data row2 col451\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col452\" class=\"data row2 col452\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col453\" class=\"data row2 col453\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col454\" class=\"data row2 col454\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col455\" class=\"data row2 col455\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col456\" class=\"data row2 col456\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col457\" class=\"data row2 col457\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col458\" class=\"data row2 col458\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col459\" class=\"data row2 col459\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col460\" class=\"data row2 col460\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col461\" class=\"data row2 col461\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col462\" class=\"data row2 col462\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col463\" class=\"data row2 col463\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col464\" class=\"data row2 col464\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col465\" class=\"data row2 col465\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col466\" class=\"data row2 col466\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col467\" class=\"data row2 col467\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col468\" class=\"data row2 col468\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col469\" class=\"data row2 col469\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col470\" class=\"data row2 col470\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col471\" class=\"data row2 col471\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col472\" class=\"data row2 col472\" >0.11</td>\n",
       "      <td id=\"T_6e882_row2_col473\" class=\"data row2 col473\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col474\" class=\"data row2 col474\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col475\" class=\"data row2 col475\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col476\" class=\"data row2 col476\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col477\" class=\"data row2 col477\" >0.06</td>\n",
       "      <td id=\"T_6e882_row2_col478\" class=\"data row2 col478\" >0.04</td>\n",
       "      <td id=\"T_6e882_row2_col479\" class=\"data row2 col479\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col480\" class=\"data row2 col480\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col481\" class=\"data row2 col481\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col482\" class=\"data row2 col482\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col483\" class=\"data row2 col483\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col484\" class=\"data row2 col484\" >0.04</td>\n",
       "      <td id=\"T_6e882_row2_col485\" class=\"data row2 col485\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col486\" class=\"data row2 col486\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col487\" class=\"data row2 col487\" >0.05</td>\n",
       "      <td id=\"T_6e882_row2_col488\" class=\"data row2 col488\" >0.15</td>\n",
       "      <td id=\"T_6e882_row2_col489\" class=\"data row2 col489\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col490\" class=\"data row2 col490\" >0.12</td>\n",
       "      <td id=\"T_6e882_row2_col491\" class=\"data row2 col491\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col492\" class=\"data row2 col492\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col493\" class=\"data row2 col493\" >0.08</td>\n",
       "      <td id=\"T_6e882_row2_col494\" class=\"data row2 col494\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col495\" class=\"data row2 col495\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col496\" class=\"data row2 col496\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col497\" class=\"data row2 col497\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col498\" class=\"data row2 col498\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col499\" class=\"data row2 col499\" >0.09</td>\n",
       "      <td id=\"T_6e882_row2_col500\" class=\"data row2 col500\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col501\" class=\"data row2 col501\" >0.07</td>\n",
       "      <td id=\"T_6e882_row2_col502\" class=\"data row2 col502\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col503\" class=\"data row2 col503\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col504\" class=\"data row2 col504\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col505\" class=\"data row2 col505\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col506\" class=\"data row2 col506\" >0.16</td>\n",
       "      <td id=\"T_6e882_row2_col507\" class=\"data row2 col507\" >0.43</td>\n",
       "      <td id=\"T_6e882_row2_col508\" class=\"data row2 col508\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col509\" class=\"data row2 col509\" >0.33</td>\n",
       "      <td id=\"T_6e882_row2_col510\" class=\"data row2 col510\" >0.67</td>\n",
       "      <td id=\"T_6e882_row2_col511\" class=\"data row2 col511\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col512\" class=\"data row2 col512\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col513\" class=\"data row2 col513\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col514\" class=\"data row2 col514\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col515\" class=\"data row2 col515\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col516\" class=\"data row2 col516\" >0.41</td>\n",
       "      <td id=\"T_6e882_row2_col517\" class=\"data row2 col517\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col518\" class=\"data row2 col518\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col519\" class=\"data row2 col519\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col520\" class=\"data row2 col520\" >0.42</td>\n",
       "      <td id=\"T_6e882_row2_col521\" class=\"data row2 col521\" >0.22</td>\n",
       "      <td id=\"T_6e882_row2_col522\" class=\"data row2 col522\" >0.35</td>\n",
       "      <td id=\"T_6e882_row2_col523\" class=\"data row2 col523\" >0.66</td>\n",
       "      <td id=\"T_6e882_row2_col524\" class=\"data row2 col524\" >0.19</td>\n",
       "      <td id=\"T_6e882_row2_col525\" class=\"data row2 col525\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col526\" class=\"data row2 col526\" >0.38</td>\n",
       "      <td id=\"T_6e882_row2_col527\" class=\"data row2 col527\" >0.37</td>\n",
       "      <td id=\"T_6e882_row2_col528\" class=\"data row2 col528\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col529\" class=\"data row2 col529\" >0.28</td>\n",
       "      <td id=\"T_6e882_row2_col530\" class=\"data row2 col530\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col531\" class=\"data row2 col531\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col532\" class=\"data row2 col532\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col533\" class=\"data row2 col533\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col534\" class=\"data row2 col534\" >0.14</td>\n",
       "      <td id=\"T_6e882_row2_col535\" class=\"data row2 col535\" >0.29</td>\n",
       "      <td id=\"T_6e882_row2_col536\" class=\"data row2 col536\" >0.58</td>\n",
       "      <td id=\"T_6e882_row2_col537\" class=\"data row2 col537\" >0.17</td>\n",
       "      <td id=\"T_6e882_row2_col538\" class=\"data row2 col538\" >0.27</td>\n",
       "      <td id=\"T_6e882_row2_col539\" class=\"data row2 col539\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col540\" class=\"data row2 col540\" >0.30</td>\n",
       "      <td id=\"T_6e882_row2_col541\" class=\"data row2 col541\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col542\" class=\"data row2 col542\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col543\" class=\"data row2 col543\" >0.26</td>\n",
       "      <td id=\"T_6e882_row2_col544\" class=\"data row2 col544\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col545\" class=\"data row2 col545\" >0.18</td>\n",
       "      <td id=\"T_6e882_row2_col546\" class=\"data row2 col546\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col547\" class=\"data row2 col547\" >0.10</td>\n",
       "      <td id=\"T_6e882_row2_col548\" class=\"data row2 col548\" >0.25</td>\n",
       "      <td id=\"T_6e882_row2_col549\" class=\"data row2 col549\" >0.61</td>\n",
       "      <td id=\"T_6e882_row2_col550\" class=\"data row2 col550\" >0.13</td>\n",
       "      <td id=\"T_6e882_row2_col551\" class=\"data row2 col551\" >0.23</td>\n",
       "      <td id=\"T_6e882_row2_col552\" class=\"data row2 col552\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col553\" class=\"data row2 col553\" >0.31</td>\n",
       "      <td id=\"T_6e882_row2_col554\" class=\"data row2 col554\" >0.34</td>\n",
       "      <td id=\"T_6e882_row2_col555\" class=\"data row2 col555\" >0.45</td>\n",
       "      <td id=\"T_6e882_row2_col556\" class=\"data row2 col556\" >0.63</td>\n",
       "      <td id=\"T_6e882_row2_col557\" class=\"data row2 col557\" >0.50</td>\n",
       "      <td id=\"T_6e882_row2_col558\" class=\"data row2 col558\" >0.51</td>\n",
       "      <td id=\"T_6e882_row2_col559\" class=\"data row2 col559\" >0.32</td>\n",
       "      <td id=\"T_6e882_row2_col560\" class=\"data row2 col560\" >0.24</td>\n",
       "      <td id=\"T_6e882_row2_col561\" class=\"data row2 col561\" >6.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "      <td id=\"T_6e882_row3_col0\" class=\"data row3 col0\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row3_col1\" class=\"data row3 col1\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row3_col2\" class=\"data row3 col2\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row3_col3\" class=\"data row3 col3\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col4\" class=\"data row3 col4\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col5\" class=\"data row3 col5\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col6\" class=\"data row3 col6\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col7\" class=\"data row3 col7\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col8\" class=\"data row3 col8\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col9\" class=\"data row3 col9\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row3_col10\" class=\"data row3 col10\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row3_col11\" class=\"data row3 col11\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row3_col12\" class=\"data row3 col12\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row3_col13\" class=\"data row3 col13\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row3_col14\" class=\"data row3 col14\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row3_col15\" class=\"data row3 col15\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col16\" class=\"data row3 col16\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col17\" class=\"data row3 col17\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col18\" class=\"data row3 col18\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col19\" class=\"data row3 col19\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col20\" class=\"data row3 col20\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col21\" class=\"data row3 col21\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col22\" class=\"data row3 col22\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col23\" class=\"data row3 col23\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col24\" class=\"data row3 col24\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col25\" class=\"data row3 col25\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col26\" class=\"data row3 col26\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col27\" class=\"data row3 col27\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col28\" class=\"data row3 col28\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col29\" class=\"data row3 col29\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row3_col30\" class=\"data row3 col30\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row3_col31\" class=\"data row3 col31\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row3_col32\" class=\"data row3 col32\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row3_col33\" class=\"data row3 col33\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row3_col34\" class=\"data row3 col34\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col35\" class=\"data row3 col35\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row3_col36\" class=\"data row3 col36\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row3_col37\" class=\"data row3 col37\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col38\" class=\"data row3 col38\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col39\" class=\"data row3 col39\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col40\" class=\"data row3 col40\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row3_col41\" class=\"data row3 col41\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col42\" class=\"data row3 col42\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col43\" class=\"data row3 col43\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col44\" class=\"data row3 col44\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col45\" class=\"data row3 col45\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col46\" class=\"data row3 col46\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col47\" class=\"data row3 col47\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col48\" class=\"data row3 col48\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col49\" class=\"data row3 col49\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row3_col50\" class=\"data row3 col50\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col51\" class=\"data row3 col51\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col52\" class=\"data row3 col52\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row3_col53\" class=\"data row3 col53\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col54\" class=\"data row3 col54\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col55\" class=\"data row3 col55\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row3_col56\" class=\"data row3 col56\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col57\" class=\"data row3 col57\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col58\" class=\"data row3 col58\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col59\" class=\"data row3 col59\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col60\" class=\"data row3 col60\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col61\" class=\"data row3 col61\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col62\" class=\"data row3 col62\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col63\" class=\"data row3 col63\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col64\" class=\"data row3 col64\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col65\" class=\"data row3 col65\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col66\" class=\"data row3 col66\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row3_col67\" class=\"data row3 col67\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col68\" class=\"data row3 col68\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row3_col69\" class=\"data row3 col69\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col70\" class=\"data row3 col70\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col71\" class=\"data row3 col71\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col72\" class=\"data row3 col72\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row3_col73\" class=\"data row3 col73\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col74\" class=\"data row3 col74\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col75\" class=\"data row3 col75\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col76\" class=\"data row3 col76\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col77\" class=\"data row3 col77\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col78\" class=\"data row3 col78\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col79\" class=\"data row3 col79\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col80\" class=\"data row3 col80\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row3_col81\" class=\"data row3 col81\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row3_col82\" class=\"data row3 col82\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row3_col83\" class=\"data row3 col83\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col84\" class=\"data row3 col84\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col85\" class=\"data row3 col85\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col86\" class=\"data row3 col86\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col87\" class=\"data row3 col87\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col88\" class=\"data row3 col88\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col89\" class=\"data row3 col89\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col90\" class=\"data row3 col90\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col91\" class=\"data row3 col91\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col92\" class=\"data row3 col92\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row3_col93\" class=\"data row3 col93\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col94\" class=\"data row3 col94\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row3_col95\" class=\"data row3 col95\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col96\" class=\"data row3 col96\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col97\" class=\"data row3 col97\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col98\" class=\"data row3 col98\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col99\" class=\"data row3 col99\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col100\" class=\"data row3 col100\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col101\" class=\"data row3 col101\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col102\" class=\"data row3 col102\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col103\" class=\"data row3 col103\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row3_col104\" class=\"data row3 col104\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col105\" class=\"data row3 col105\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col106\" class=\"data row3 col106\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row3_col107\" class=\"data row3 col107\" >-0.71</td>\n",
       "      <td id=\"T_6e882_row3_col108\" class=\"data row3 col108\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row3_col109\" class=\"data row3 col109\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row3_col110\" class=\"data row3 col110\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row3_col111\" class=\"data row3 col111\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row3_col112\" class=\"data row3 col112\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row3_col113\" class=\"data row3 col113\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row3_col114\" class=\"data row3 col114\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col115\" class=\"data row3 col115\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row3_col116\" class=\"data row3 col116\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row3_col117\" class=\"data row3 col117\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row3_col118\" class=\"data row3 col118\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row3_col119\" class=\"data row3 col119\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col120\" class=\"data row3 col120\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col121\" class=\"data row3 col121\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col122\" class=\"data row3 col122\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col123\" class=\"data row3 col123\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col124\" class=\"data row3 col124\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col125\" class=\"data row3 col125\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col126\" class=\"data row3 col126\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col127\" class=\"data row3 col127\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col128\" class=\"data row3 col128\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col129\" class=\"data row3 col129\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col130\" class=\"data row3 col130\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col131\" class=\"data row3 col131\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col132\" class=\"data row3 col132\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row3_col133\" class=\"data row3 col133\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row3_col134\" class=\"data row3 col134\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row3_col135\" class=\"data row3 col135\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col136\" class=\"data row3 col136\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col137\" class=\"data row3 col137\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col138\" class=\"data row3 col138\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col139\" class=\"data row3 col139\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col140\" class=\"data row3 col140\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col141\" class=\"data row3 col141\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col142\" class=\"data row3 col142\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col143\" class=\"data row3 col143\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col144\" class=\"data row3 col144\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col145\" class=\"data row3 col145\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row3_col146\" class=\"data row3 col146\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row3_col147\" class=\"data row3 col147\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col148\" class=\"data row3 col148\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col149\" class=\"data row3 col149\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row3_col150\" class=\"data row3 col150\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row3_col151\" class=\"data row3 col151\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col152\" class=\"data row3 col152\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row3_col153\" class=\"data row3 col153\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col154\" class=\"data row3 col154\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col155\" class=\"data row3 col155\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col156\" class=\"data row3 col156\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row3_col157\" class=\"data row3 col157\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col158\" class=\"data row3 col158\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row3_col159\" class=\"data row3 col159\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col160\" class=\"data row3 col160\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row3_col161\" class=\"data row3 col161\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row3_col162\" class=\"data row3 col162\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row3_col163\" class=\"data row3 col163\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col164\" class=\"data row3 col164\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col165\" class=\"data row3 col165\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col166\" class=\"data row3 col166\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col167\" class=\"data row3 col167\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col168\" class=\"data row3 col168\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col169\" class=\"data row3 col169\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col170\" class=\"data row3 col170\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col171\" class=\"data row3 col171\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col172\" class=\"data row3 col172\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row3_col173\" class=\"data row3 col173\" >-0.45</td>\n",
       "      <td id=\"T_6e882_row3_col174\" class=\"data row3 col174\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col175\" class=\"data row3 col175\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col176\" class=\"data row3 col176\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col177\" class=\"data row3 col177\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col178\" class=\"data row3 col178\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col179\" class=\"data row3 col179\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col180\" class=\"data row3 col180\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col181\" class=\"data row3 col181\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col182\" class=\"data row3 col182\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row3_col183\" class=\"data row3 col183\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row3_col184\" class=\"data row3 col184\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row3_col185\" class=\"data row3 col185\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col186\" class=\"data row3 col186\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row3_col187\" class=\"data row3 col187\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row3_col188\" class=\"data row3 col188\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row3_col189\" class=\"data row3 col189\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col190\" class=\"data row3 col190\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row3_col191\" class=\"data row3 col191\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col192\" class=\"data row3 col192\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row3_col193\" class=\"data row3 col193\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col194\" class=\"data row3 col194\" >-0.93</td>\n",
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       "      <td id=\"T_6e882_row3_col202\" class=\"data row3 col202\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col204\" class=\"data row3 col204\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col223\" class=\"data row3 col223\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row3_col224\" class=\"data row3 col224\" >-0.90</td>\n",
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       "      <td id=\"T_6e882_row3_col243\" class=\"data row3 col243\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col244\" class=\"data row3 col244\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col246\" class=\"data row3 col246\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col256\" class=\"data row3 col256\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col259\" class=\"data row3 col259\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col260\" class=\"data row3 col260\" >-0.98</td>\n",
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       "      <td id=\"T_6e882_row3_col262\" class=\"data row3 col262\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row3_col401\" class=\"data row3 col401\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col402\" class=\"data row3 col402\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col403\" class=\"data row3 col403\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col404\" class=\"data row3 col404\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col405\" class=\"data row3 col405\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col406\" class=\"data row3 col406\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col407\" class=\"data row3 col407\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col408\" class=\"data row3 col408\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col409\" class=\"data row3 col409\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col410\" class=\"data row3 col410\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col411\" class=\"data row3 col411\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col412\" class=\"data row3 col412\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col413\" class=\"data row3 col413\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col414\" class=\"data row3 col414\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col415\" class=\"data row3 col415\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col416\" class=\"data row3 col416\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col417\" class=\"data row3 col417\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col418\" class=\"data row3 col418\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col419\" class=\"data row3 col419\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col420\" class=\"data row3 col420\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col421\" class=\"data row3 col421\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col422\" class=\"data row3 col422\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col423\" class=\"data row3 col423\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col424\" class=\"data row3 col424\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col425\" class=\"data row3 col425\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col426\" class=\"data row3 col426\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col427\" class=\"data row3 col427\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col428\" class=\"data row3 col428\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col429\" class=\"data row3 col429\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col430\" class=\"data row3 col430\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col431\" class=\"data row3 col431\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col432\" class=\"data row3 col432\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col433\" class=\"data row3 col433\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col434\" class=\"data row3 col434\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col435\" class=\"data row3 col435\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col436\" class=\"data row3 col436\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col437\" class=\"data row3 col437\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col438\" class=\"data row3 col438\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col439\" class=\"data row3 col439\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col440\" class=\"data row3 col440\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col441\" class=\"data row3 col441\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col442\" class=\"data row3 col442\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col443\" class=\"data row3 col443\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col444\" class=\"data row3 col444\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col445\" class=\"data row3 col445\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col446\" class=\"data row3 col446\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col447\" class=\"data row3 col447\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col448\" class=\"data row3 col448\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col449\" class=\"data row3 col449\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col450\" class=\"data row3 col450\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col451\" class=\"data row3 col451\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row3_col452\" class=\"data row3 col452\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col453\" class=\"data row3 col453\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col454\" class=\"data row3 col454\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row3_col455\" class=\"data row3 col455\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col456\" class=\"data row3 col456\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row3_col457\" class=\"data row3 col457\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col458\" class=\"data row3 col458\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col459\" class=\"data row3 col459\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col460\" class=\"data row3 col460\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col461\" class=\"data row3 col461\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col462\" class=\"data row3 col462\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col463\" class=\"data row3 col463\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col464\" class=\"data row3 col464\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col465\" class=\"data row3 col465\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col466\" class=\"data row3 col466\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col467\" class=\"data row3 col467\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col468\" class=\"data row3 col468\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col469\" class=\"data row3 col469\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col470\" class=\"data row3 col470\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col471\" class=\"data row3 col471\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col472\" class=\"data row3 col472\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col473\" class=\"data row3 col473\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col474\" class=\"data row3 col474\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col475\" class=\"data row3 col475\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col476\" class=\"data row3 col476\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col477\" class=\"data row3 col477\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col478\" class=\"data row3 col478\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col479\" class=\"data row3 col479\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col480\" class=\"data row3 col480\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col481\" class=\"data row3 col481\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col482\" class=\"data row3 col482\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col483\" class=\"data row3 col483\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col484\" class=\"data row3 col484\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col485\" class=\"data row3 col485\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col486\" class=\"data row3 col486\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col487\" class=\"data row3 col487\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col488\" class=\"data row3 col488\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col489\" class=\"data row3 col489\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col490\" class=\"data row3 col490\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col491\" class=\"data row3 col491\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col492\" class=\"data row3 col492\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col493\" class=\"data row3 col493\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col494\" class=\"data row3 col494\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col495\" class=\"data row3 col495\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col496\" class=\"data row3 col496\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col497\" class=\"data row3 col497\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col498\" class=\"data row3 col498\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col499\" class=\"data row3 col499\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col500\" class=\"data row3 col500\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col501\" class=\"data row3 col501\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col502\" class=\"data row3 col502\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col503\" class=\"data row3 col503\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col504\" class=\"data row3 col504\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col505\" class=\"data row3 col505\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col506\" class=\"data row3 col506\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col507\" class=\"data row3 col507\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col508\" class=\"data row3 col508\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col509\" class=\"data row3 col509\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col510\" class=\"data row3 col510\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col511\" class=\"data row3 col511\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col512\" class=\"data row3 col512\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row3_col513\" class=\"data row3 col513\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row3_col514\" class=\"data row3 col514\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col515\" class=\"data row3 col515\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col516\" class=\"data row3 col516\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col517\" class=\"data row3 col517\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col518\" class=\"data row3 col518\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col519\" class=\"data row3 col519\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col520\" class=\"data row3 col520\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col521\" class=\"data row3 col521\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col522\" class=\"data row3 col522\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col523\" class=\"data row3 col523\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col524\" class=\"data row3 col524\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col525\" class=\"data row3 col525\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row3_col526\" class=\"data row3 col526\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col527\" class=\"data row3 col527\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col528\" class=\"data row3 col528\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col529\" class=\"data row3 col529\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col530\" class=\"data row3 col530\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col531\" class=\"data row3 col531\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col532\" class=\"data row3 col532\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col533\" class=\"data row3 col533\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col534\" class=\"data row3 col534\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col535\" class=\"data row3 col535\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col536\" class=\"data row3 col536\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col537\" class=\"data row3 col537\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col538\" class=\"data row3 col538\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col539\" class=\"data row3 col539\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row3_col540\" class=\"data row3 col540\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col541\" class=\"data row3 col541\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col542\" class=\"data row3 col542\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col543\" class=\"data row3 col543\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col544\" class=\"data row3 col544\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col545\" class=\"data row3 col545\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col546\" class=\"data row3 col546\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col547\" class=\"data row3 col547\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col548\" class=\"data row3 col548\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col549\" class=\"data row3 col549\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col550\" class=\"data row3 col550\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col551\" class=\"data row3 col551\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row3_col552\" class=\"data row3 col552\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col553\" class=\"data row3 col553\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col554\" class=\"data row3 col554\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col555\" class=\"data row3 col555\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col556\" class=\"data row3 col556\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row3_col557\" class=\"data row3 col557\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row3_col558\" class=\"data row3 col558\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row3_col559\" class=\"data row3 col559\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row3_col560\" class=\"data row3 col560\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row3_col561\" class=\"data row3 col561\" >2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "      <td id=\"T_6e882_row4_col0\" class=\"data row4 col0\" >0.26</td>\n",
       "      <td id=\"T_6e882_row4_col1\" class=\"data row4 col1\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row4_col2\" class=\"data row4 col2\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row4_col3\" class=\"data row4 col3\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col4\" class=\"data row4 col4\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col5\" class=\"data row4 col5\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col6\" class=\"data row4 col6\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col7\" class=\"data row4 col7\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col8\" class=\"data row4 col8\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col9\" class=\"data row4 col9\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row4_col10\" class=\"data row4 col10\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row4_col11\" class=\"data row4 col11\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row4_col12\" class=\"data row4 col12\" >0.24</td>\n",
       "      <td id=\"T_6e882_row4_col13\" class=\"data row4 col13\" >0.15</td>\n",
       "      <td id=\"T_6e882_row4_col14\" class=\"data row4 col14\" >0.41</td>\n",
       "      <td id=\"T_6e882_row4_col15\" class=\"data row4 col15\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col16\" class=\"data row4 col16\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col17\" class=\"data row4 col17\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col18\" class=\"data row4 col18\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col19\" class=\"data row4 col19\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col20\" class=\"data row4 col20\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col21\" class=\"data row4 col21\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col22\" class=\"data row4 col22\" >-0.54</td>\n",
       "      <td id=\"T_6e882_row4_col23\" class=\"data row4 col23\" >-0.53</td>\n",
       "      <td id=\"T_6e882_row4_col24\" class=\"data row4 col24\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row4_col25\" class=\"data row4 col25\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row4_col26\" class=\"data row4 col26\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row4_col27\" class=\"data row4 col27\" >-0.19</td>\n",
       "      <td id=\"T_6e882_row4_col28\" class=\"data row4 col28\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row4_col29\" class=\"data row4 col29\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row4_col30\" class=\"data row4 col30\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row4_col31\" class=\"data row4 col31\" >0.01</td>\n",
       "      <td id=\"T_6e882_row4_col32\" class=\"data row4 col32\" >-0.16</td>\n",
       "      <td id=\"T_6e882_row4_col33\" class=\"data row4 col33\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row4_col34\" class=\"data row4 col34\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row4_col35\" class=\"data row4 col35\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row4_col36\" class=\"data row4 col36\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row4_col37\" class=\"data row4 col37\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row4_col38\" class=\"data row4 col38\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row4_col39\" class=\"data row4 col39\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row4_col40\" class=\"data row4 col40\" >0.83</td>\n",
       "      <td id=\"T_6e882_row4_col41\" class=\"data row4 col41\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row4_col42\" class=\"data row4 col42\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row4_col43\" class=\"data row4 col43\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col44\" class=\"data row4 col44\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col45\" class=\"data row4 col45\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col46\" class=\"data row4 col46\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col47\" class=\"data row4 col47\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col48\" class=\"data row4 col48\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col49\" class=\"data row4 col49\" >0.77</td>\n",
       "      <td id=\"T_6e882_row4_col50\" class=\"data row4 col50\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row4_col51\" class=\"data row4 col51\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row4_col52\" class=\"data row4 col52\" >0.84</td>\n",
       "      <td id=\"T_6e882_row4_col53\" class=\"data row4 col53\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row4_col54\" class=\"data row4 col54\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row4_col55\" class=\"data row4 col55\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row4_col56\" class=\"data row4 col56\" >0.57</td>\n",
       "      <td id=\"T_6e882_row4_col57\" class=\"data row4 col57\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col58\" class=\"data row4 col58\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col59\" class=\"data row4 col59\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col60\" class=\"data row4 col60\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col61\" class=\"data row4 col61\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col62\" class=\"data row4 col62\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col63\" class=\"data row4 col63\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col64\" class=\"data row4 col64\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col65\" class=\"data row4 col65\" >-0.63</td>\n",
       "      <td id=\"T_6e882_row4_col66\" class=\"data row4 col66\" >0.38</td>\n",
       "      <td id=\"T_6e882_row4_col67\" class=\"data row4 col67\" >-0.71</td>\n",
       "      <td id=\"T_6e882_row4_col68\" class=\"data row4 col68\" >0.46</td>\n",
       "      <td id=\"T_6e882_row4_col69\" class=\"data row4 col69\" >-0.55</td>\n",
       "      <td id=\"T_6e882_row4_col70\" class=\"data row4 col70\" >0.13</td>\n",
       "      <td id=\"T_6e882_row4_col71\" class=\"data row4 col71\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row4_col72\" class=\"data row4 col72\" >0.24</td>\n",
       "      <td id=\"T_6e882_row4_col73\" class=\"data row4 col73\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row4_col74\" class=\"data row4 col74\" >0.28</td>\n",
       "      <td id=\"T_6e882_row4_col75\" class=\"data row4 col75\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row4_col76\" class=\"data row4 col76\" >0.33</td>\n",
       "      <td id=\"T_6e882_row4_col77\" class=\"data row4 col77\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row4_col78\" class=\"data row4 col78\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row4_col79\" class=\"data row4 col79\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row4_col80\" class=\"data row4 col80\" >0.06</td>\n",
       "      <td id=\"T_6e882_row4_col81\" class=\"data row4 col81\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row4_col82\" class=\"data row4 col82\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row4_col83\" class=\"data row4 col83\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col84\" class=\"data row4 col84\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col85\" class=\"data row4 col85\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col86\" class=\"data row4 col86\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col87\" class=\"data row4 col87\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col88\" class=\"data row4 col88\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col89\" class=\"data row4 col89\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col90\" class=\"data row4 col90\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col91\" class=\"data row4 col91\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col92\" class=\"data row4 col92\" >0.25</td>\n",
       "      <td id=\"T_6e882_row4_col93\" class=\"data row4 col93\" >0.40</td>\n",
       "      <td id=\"T_6e882_row4_col94\" class=\"data row4 col94\" >0.54</td>\n",
       "      <td id=\"T_6e882_row4_col95\" class=\"data row4 col95\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col96\" class=\"data row4 col96\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col97\" class=\"data row4 col97\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col98\" class=\"data row4 col98\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col99\" class=\"data row4 col99\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col100\" class=\"data row4 col100\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col101\" class=\"data row4 col101\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col102\" class=\"data row4 col102\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row4_col103\" class=\"data row4 col103\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row4_col104\" class=\"data row4 col104\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row4_col105\" class=\"data row4 col105\" >-0.37</td>\n",
       "      <td id=\"T_6e882_row4_col106\" class=\"data row4 col106\" >0.07</td>\n",
       "      <td id=\"T_6e882_row4_col107\" class=\"data row4 col107\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row4_col108\" class=\"data row4 col108\" >0.01</td>\n",
       "      <td id=\"T_6e882_row4_col109\" class=\"data row4 col109\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row4_col110\" class=\"data row4 col110\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row4_col111\" class=\"data row4 col111\" >0.04</td>\n",
       "      <td id=\"T_6e882_row4_col112\" class=\"data row4 col112\" >0.16</td>\n",
       "      <td id=\"T_6e882_row4_col113\" class=\"data row4 col113\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row4_col114\" class=\"data row4 col114\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row4_col115\" class=\"data row4 col115\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row4_col116\" class=\"data row4 col116\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row4_col117\" class=\"data row4 col117\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row4_col118\" class=\"data row4 col118\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row4_col119\" class=\"data row4 col119\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row4_col120\" class=\"data row4 col120\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row4_col121\" class=\"data row4 col121\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row4_col122\" class=\"data row4 col122\" >0.07</td>\n",
       "      <td id=\"T_6e882_row4_col123\" class=\"data row4 col123\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col124\" class=\"data row4 col124\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col125\" class=\"data row4 col125\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col126\" class=\"data row4 col126\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col127\" class=\"data row4 col127\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col128\" class=\"data row4 col128\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col129\" class=\"data row4 col129\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row4_col130\" class=\"data row4 col130\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row4_col131\" class=\"data row4 col131\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row4_col132\" class=\"data row4 col132\" >0.46</td>\n",
       "      <td id=\"T_6e882_row4_col133\" class=\"data row4 col133\" >0.62</td>\n",
       "      <td id=\"T_6e882_row4_col134\" class=\"data row4 col134\" >0.34</td>\n",
       "      <td id=\"T_6e882_row4_col135\" class=\"data row4 col135\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col136\" class=\"data row4 col136\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col137\" class=\"data row4 col137\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col138\" class=\"data row4 col138\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col139\" class=\"data row4 col139\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col140\" class=\"data row4 col140\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col141\" class=\"data row4 col141\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col142\" class=\"data row4 col142\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row4_col143\" class=\"data row4 col143\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row4_col144\" class=\"data row4 col144\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row4_col145\" class=\"data row4 col145\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row4_col146\" class=\"data row4 col146\" >0.01</td>\n",
       "      <td id=\"T_6e882_row4_col147\" class=\"data row4 col147\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row4_col148\" class=\"data row4 col148\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row4_col149\" class=\"data row4 col149\" >-0.35</td>\n",
       "      <td id=\"T_6e882_row4_col150\" class=\"data row4 col150\" >0.06</td>\n",
       "      <td id=\"T_6e882_row4_col151\" class=\"data row4 col151\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row4_col152\" class=\"data row4 col152\" >0.00</td>\n",
       "      <td id=\"T_6e882_row4_col153\" class=\"data row4 col153\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row4_col154\" class=\"data row4 col154\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row4_col155\" class=\"data row4 col155\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row4_col156\" class=\"data row4 col156\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row4_col157\" class=\"data row4 col157\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row4_col158\" class=\"data row4 col158\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row4_col159\" class=\"data row4 col159\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row4_col160\" class=\"data row4 col160\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row4_col161\" class=\"data row4 col161\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row4_col162\" class=\"data row4 col162\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row4_col163\" class=\"data row4 col163\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col164\" class=\"data row4 col164\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col165\" class=\"data row4 col165\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col166\" class=\"data row4 col166\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col167\" class=\"data row4 col167\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col168\" class=\"data row4 col168\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col169\" class=\"data row4 col169\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col170\" class=\"data row4 col170\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col171\" class=\"data row4 col171\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col172\" class=\"data row4 col172\" >0.58</td>\n",
       "      <td id=\"T_6e882_row4_col173\" class=\"data row4 col173\" >0.72</td>\n",
       "      <td id=\"T_6e882_row4_col174\" class=\"data row4 col174\" >0.64</td>\n",
       "      <td id=\"T_6e882_row4_col175\" class=\"data row4 col175\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col176\" class=\"data row4 col176\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col177\" class=\"data row4 col177\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col178\" class=\"data row4 col178\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col179\" class=\"data row4 col179\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col180\" class=\"data row4 col180\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col181\" class=\"data row4 col181\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col182\" class=\"data row4 col182\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row4_col183\" class=\"data row4 col183\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row4_col184\" class=\"data row4 col184\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row4_col185\" class=\"data row4 col185\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row4_col186\" class=\"data row4 col186\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row4_col187\" class=\"data row4 col187\" >0.03</td>\n",
       "      <td id=\"T_6e882_row4_col188\" class=\"data row4 col188\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row4_col189\" class=\"data row4 col189\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row4_col190\" class=\"data row4 col190\" >0.12</td>\n",
       "      <td id=\"T_6e882_row4_col191\" class=\"data row4 col191\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row4_col192\" class=\"data row4 col192\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row4_col193\" class=\"data row4 col193\" >-0.30</td>\n",
       "      <td id=\"T_6e882_row4_col194\" class=\"data row4 col194\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row4_col195\" class=\"data row4 col195\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row4_col196\" class=\"data row4 col196\" >-0.16</td>\n",
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       "      <td id=\"T_6e882_row4_col201\" class=\"data row4 col201\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col202\" class=\"data row4 col202\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col203\" class=\"data row4 col203\" >-0.98</td>\n",
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       "      <td id=\"T_6e882_row4_col205\" class=\"data row4 col205\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col206\" class=\"data row4 col206\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col207\" class=\"data row4 col207\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col208\" class=\"data row4 col208\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row4_col209\" class=\"data row4 col209\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row4_col210\" class=\"data row4 col210\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row4_col211\" class=\"data row4 col211\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row4_col212\" class=\"data row4 col212\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row4_col213\" class=\"data row4 col213\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col214\" class=\"data row4 col214\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col215\" class=\"data row4 col215\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col216\" class=\"data row4 col216\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col217\" class=\"data row4 col217\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col218\" class=\"data row4 col218\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col219\" class=\"data row4 col219\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col220\" class=\"data row4 col220\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col221\" class=\"data row4 col221\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row4_col222\" class=\"data row4 col222\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row4_col223\" class=\"data row4 col223\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row4_col224\" class=\"data row4 col224\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row4_col225\" class=\"data row4 col225\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row4_col226\" class=\"data row4 col226\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col227\" class=\"data row4 col227\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col228\" class=\"data row4 col228\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col229\" class=\"data row4 col229\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col230\" class=\"data row4 col230\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col231\" class=\"data row4 col231\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col232\" class=\"data row4 col232\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col233\" class=\"data row4 col233\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col234\" class=\"data row4 col234\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row4_col235\" class=\"data row4 col235\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row4_col236\" class=\"data row4 col236\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row4_col237\" class=\"data row4 col237\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row4_col238\" class=\"data row4 col238\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row4_col239\" class=\"data row4 col239\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col240\" class=\"data row4 col240\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col241\" class=\"data row4 col241\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col242\" class=\"data row4 col242\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col243\" class=\"data row4 col243\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col244\" class=\"data row4 col244\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col245\" class=\"data row4 col245\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col246\" class=\"data row4 col246\" >-0.97</td>\n",
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       "      <td id=\"T_6e882_row4_col251\" class=\"data row4 col251\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row4_col252\" class=\"data row4 col252\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col253\" class=\"data row4 col253\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col254\" class=\"data row4 col254\" >-0.99</td>\n",
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       "      <td id=\"T_6e882_row4_col461\" class=\"data row4 col461\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col462\" class=\"data row4 col462\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col463\" class=\"data row4 col463\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col464\" class=\"data row4 col464\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col465\" class=\"data row4 col465\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col466\" class=\"data row4 col466\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col467\" class=\"data row4 col467\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col468\" class=\"data row4 col468\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col469\" class=\"data row4 col469\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col470\" class=\"data row4 col470\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col471\" class=\"data row4 col471\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col472\" class=\"data row4 col472\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col473\" class=\"data row4 col473\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col474\" class=\"data row4 col474\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col475\" class=\"data row4 col475\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col476\" class=\"data row4 col476\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col477\" class=\"data row4 col477\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col478\" class=\"data row4 col478\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col479\" class=\"data row4 col479\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col480\" class=\"data row4 col480\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col481\" class=\"data row4 col481\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col482\" class=\"data row4 col482\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col483\" class=\"data row4 col483\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col484\" class=\"data row4 col484\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col485\" class=\"data row4 col485\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col486\" class=\"data row4 col486\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col487\" class=\"data row4 col487\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col488\" class=\"data row4 col488\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col489\" class=\"data row4 col489\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col490\" class=\"data row4 col490\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col491\" class=\"data row4 col491\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col492\" class=\"data row4 col492\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col493\" class=\"data row4 col493\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col494\" class=\"data row4 col494\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col495\" class=\"data row4 col495\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col496\" class=\"data row4 col496\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col497\" class=\"data row4 col497\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col498\" class=\"data row4 col498\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col499\" class=\"data row4 col499\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col500\" class=\"data row4 col500\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col501\" class=\"data row4 col501\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col502\" class=\"data row4 col502\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col503\" class=\"data row4 col503\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col504\" class=\"data row4 col504\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col505\" class=\"data row4 col505\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col506\" class=\"data row4 col506\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col507\" class=\"data row4 col507\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col508\" class=\"data row4 col508\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col509\" class=\"data row4 col509\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col510\" class=\"data row4 col510\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row4_col511\" class=\"data row4 col511\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col512\" class=\"data row4 col512\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row4_col513\" class=\"data row4 col513\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row4_col514\" class=\"data row4 col514\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row4_col515\" class=\"data row4 col515\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col516\" class=\"data row4 col516\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col517\" class=\"data row4 col517\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col518\" class=\"data row4 col518\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col519\" class=\"data row4 col519\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col520\" class=\"data row4 col520\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col521\" class=\"data row4 col521\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col522\" class=\"data row4 col522\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col523\" class=\"data row4 col523\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col524\" class=\"data row4 col524\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col525\" class=\"data row4 col525\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row4_col526\" class=\"data row4 col526\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row4_col527\" class=\"data row4 col527\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row4_col528\" class=\"data row4 col528\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col529\" class=\"data row4 col529\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col530\" class=\"data row4 col530\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col531\" class=\"data row4 col531\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col532\" class=\"data row4 col532\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col533\" class=\"data row4 col533\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col534\" class=\"data row4 col534\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col535\" class=\"data row4 col535\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row4_col536\" class=\"data row4 col536\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row4_col537\" class=\"data row4 col537\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col538\" class=\"data row4 col538\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row4_col539\" class=\"data row4 col539\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row4_col540\" class=\"data row4 col540\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row4_col541\" class=\"data row4 col541\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col542\" class=\"data row4 col542\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col543\" class=\"data row4 col543\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col544\" class=\"data row4 col544\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col545\" class=\"data row4 col545\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col546\" class=\"data row4 col546\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col547\" class=\"data row4 col547\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row4_col548\" class=\"data row4 col548\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row4_col549\" class=\"data row4 col549\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row4_col550\" class=\"data row4 col550\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row4_col551\" class=\"data row4 col551\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row4_col552\" class=\"data row4 col552\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row4_col553\" class=\"data row4 col553\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row4_col554\" class=\"data row4 col554\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row4_col555\" class=\"data row4 col555\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row4_col556\" class=\"data row4 col556\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row4_col557\" class=\"data row4 col557\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row4_col558\" class=\"data row4 col558\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row4_col559\" class=\"data row4 col559\" >0.02</td>\n",
       "      <td id=\"T_6e882_row4_col560\" class=\"data row4 col560\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row4_col561\" class=\"data row4 col561\" >9.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "      <td id=\"T_6e882_row5_col0\" class=\"data row5 col0\" >0.28</td>\n",
       "      <td id=\"T_6e882_row5_col1\" class=\"data row5 col1\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row5_col2\" class=\"data row5 col2\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row5_col3\" class=\"data row5 col3\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col4\" class=\"data row5 col4\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row5_col5\" class=\"data row5 col5\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row5_col6\" class=\"data row5 col6\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col7\" class=\"data row5 col7\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row5_col8\" class=\"data row5 col8\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col9\" class=\"data row5 col9\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row5_col10\" class=\"data row5 col10\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row5_col11\" class=\"data row5 col11\" >-0.68</td>\n",
       "      <td id=\"T_6e882_row5_col12\" class=\"data row5 col12\" >0.76</td>\n",
       "      <td id=\"T_6e882_row5_col13\" class=\"data row5 col13\" >0.59</td>\n",
       "      <td id=\"T_6e882_row5_col14\" class=\"data row5 col14\" >0.76</td>\n",
       "      <td id=\"T_6e882_row5_col15\" class=\"data row5 col15\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col16\" class=\"data row5 col16\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col17\" class=\"data row5 col17\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row5_col18\" class=\"data row5 col18\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col19\" class=\"data row5 col19\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col20\" class=\"data row5 col20\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row5_col21\" class=\"data row5 col21\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col22\" class=\"data row5 col22\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row5_col23\" class=\"data row5 col23\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col24\" class=\"data row5 col24\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row5_col25\" class=\"data row5 col25\" >-0.16</td>\n",
       "      <td id=\"T_6e882_row5_col26\" class=\"data row5 col26\" >0.10</td>\n",
       "      <td id=\"T_6e882_row5_col27\" class=\"data row5 col27\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row5_col28\" class=\"data row5 col28\" >0.10</td>\n",
       "      <td id=\"T_6e882_row5_col29\" class=\"data row5 col29\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col30\" class=\"data row5 col30\" >0.03</td>\n",
       "      <td id=\"T_6e882_row5_col31\" class=\"data row5 col31\" >0.14</td>\n",
       "      <td id=\"T_6e882_row5_col32\" class=\"data row5 col32\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row5_col33\" class=\"data row5 col33\" >0.00</td>\n",
       "      <td id=\"T_6e882_row5_col34\" class=\"data row5 col34\" >0.03</td>\n",
       "      <td id=\"T_6e882_row5_col35\" class=\"data row5 col35\" >0.04</td>\n",
       "      <td id=\"T_6e882_row5_col36\" class=\"data row5 col36\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row5_col37\" class=\"data row5 col37\" >-0.16</td>\n",
       "      <td id=\"T_6e882_row5_col38\" class=\"data row5 col38\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row5_col39\" class=\"data row5 col39\" >0.11</td>\n",
       "      <td id=\"T_6e882_row5_col40\" class=\"data row5 col40\" >0.93</td>\n",
       "      <td id=\"T_6e882_row5_col41\" class=\"data row5 col41\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row5_col42\" class=\"data row5 col42\" >0.05</td>\n",
       "      <td id=\"T_6e882_row5_col43\" class=\"data row5 col43\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col44\" class=\"data row5 col44\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col45\" class=\"data row5 col45\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col46\" class=\"data row5 col46\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col47\" class=\"data row5 col47\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col48\" class=\"data row5 col48\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col49\" class=\"data row5 col49\" >0.87</td>\n",
       "      <td id=\"T_6e882_row5_col50\" class=\"data row5 col50\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row5_col51\" class=\"data row5 col51\" >0.05</td>\n",
       "      <td id=\"T_6e882_row5_col52\" class=\"data row5 col52\" >0.93</td>\n",
       "      <td id=\"T_6e882_row5_col53\" class=\"data row5 col53\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row5_col54\" class=\"data row5 col54\" >0.04</td>\n",
       "      <td id=\"T_6e882_row5_col55\" class=\"data row5 col55\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row5_col56\" class=\"data row5 col56\" >0.80</td>\n",
       "      <td id=\"T_6e882_row5_col57\" class=\"data row5 col57\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col58\" class=\"data row5 col58\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col59\" class=\"data row5 col59\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col60\" class=\"data row5 col60\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col61\" class=\"data row5 col61\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col62\" class=\"data row5 col62\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col63\" class=\"data row5 col63\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col64\" class=\"data row5 col64\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row5_col65\" class=\"data row5 col65\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row5_col66\" class=\"data row5 col66\" >0.52</td>\n",
       "      <td id=\"T_6e882_row5_col67\" class=\"data row5 col67\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row5_col68\" class=\"data row5 col68\" >0.62</td>\n",
       "      <td id=\"T_6e882_row5_col69\" class=\"data row5 col69\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row5_col70\" class=\"data row5 col70\" >0.34</td>\n",
       "      <td id=\"T_6e882_row5_col71\" class=\"data row5 col71\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row5_col72\" class=\"data row5 col72\" >0.44</td>\n",
       "      <td id=\"T_6e882_row5_col73\" class=\"data row5 col73\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row5_col74\" class=\"data row5 col74\" >0.44</td>\n",
       "      <td id=\"T_6e882_row5_col75\" class=\"data row5 col75\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row5_col76\" class=\"data row5 col76\" >0.51</td>\n",
       "      <td id=\"T_6e882_row5_col77\" class=\"data row5 col77\" >0.30</td>\n",
       "      <td id=\"T_6e882_row5_col78\" class=\"data row5 col78\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row5_col79\" class=\"data row5 col79\" >0.16</td>\n",
       "      <td id=\"T_6e882_row5_col80\" class=\"data row5 col80\" >0.08</td>\n",
       "      <td id=\"T_6e882_row5_col81\" class=\"data row5 col81\" >0.01</td>\n",
       "      <td id=\"T_6e882_row5_col82\" class=\"data row5 col82\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row5_col83\" class=\"data row5 col83\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col84\" class=\"data row5 col84\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col85\" class=\"data row5 col85\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col86\" class=\"data row5 col86\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col87\" class=\"data row5 col87\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col88\" class=\"data row5 col88\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col89\" class=\"data row5 col89\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col90\" class=\"data row5 col90\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col91\" class=\"data row5 col91\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col92\" class=\"data row5 col92\" >0.91</td>\n",
       "      <td id=\"T_6e882_row5_col93\" class=\"data row5 col93\" >0.90</td>\n",
       "      <td id=\"T_6e882_row5_col94\" class=\"data row5 col94\" >0.91</td>\n",
       "      <td id=\"T_6e882_row5_col95\" class=\"data row5 col95\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col96\" class=\"data row5 col96\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col97\" class=\"data row5 col97\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row5_col98\" class=\"data row5 col98\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col99\" class=\"data row5 col99\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col100\" class=\"data row5 col100\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col101\" class=\"data row5 col101\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col102\" class=\"data row5 col102\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row5_col103\" class=\"data row5 col103\" >-0.18</td>\n",
       "      <td id=\"T_6e882_row5_col104\" class=\"data row5 col104\" >-0.30</td>\n",
       "      <td id=\"T_6e882_row5_col105\" class=\"data row5 col105\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row5_col106\" class=\"data row5 col106\" >0.19</td>\n",
       "      <td id=\"T_6e882_row5_col107\" class=\"data row5 col107\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col108\" class=\"data row5 col108\" >0.15</td>\n",
       "      <td id=\"T_6e882_row5_col109\" class=\"data row5 col109\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row5_col110\" class=\"data row5 col110\" >0.08</td>\n",
       "      <td id=\"T_6e882_row5_col111\" class=\"data row5 col111\" >0.19</td>\n",
       "      <td id=\"T_6e882_row5_col112\" class=\"data row5 col112\" >0.30</td>\n",
       "      <td id=\"T_6e882_row5_col113\" class=\"data row5 col113\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col114\" class=\"data row5 col114\" >0.10</td>\n",
       "      <td id=\"T_6e882_row5_col115\" class=\"data row5 col115\" >0.02</td>\n",
       "      <td id=\"T_6e882_row5_col116\" class=\"data row5 col116\" >0.14</td>\n",
       "      <td id=\"T_6e882_row5_col117\" class=\"data row5 col117\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row5_col118\" class=\"data row5 col118\" >0.00</td>\n",
       "      <td id=\"T_6e882_row5_col119\" class=\"data row5 col119\" >0.06</td>\n",
       "      <td id=\"T_6e882_row5_col120\" class=\"data row5 col120\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col121\" class=\"data row5 col121\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row5_col122\" class=\"data row5 col122\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col123\" class=\"data row5 col123\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col124\" class=\"data row5 col124\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row5_col125\" class=\"data row5 col125\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col126\" class=\"data row5 col126\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col127\" class=\"data row5 col127\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col128\" class=\"data row5 col128\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col129\" class=\"data row5 col129\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row5_col130\" class=\"data row5 col130\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col131\" class=\"data row5 col131\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row5_col132\" class=\"data row5 col132\" >0.74</td>\n",
       "      <td id=\"T_6e882_row5_col133\" class=\"data row5 col133\" >0.83</td>\n",
       "      <td id=\"T_6e882_row5_col134\" class=\"data row5 col134\" >0.72</td>\n",
       "      <td id=\"T_6e882_row5_col135\" class=\"data row5 col135\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row5_col136\" class=\"data row5 col136\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col137\" class=\"data row5 col137\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row5_col138\" class=\"data row5 col138\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col139\" class=\"data row5 col139\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row5_col140\" class=\"data row5 col140\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col141\" class=\"data row5 col141\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row5_col142\" class=\"data row5 col142\" >-0.16</td>\n",
       "      <td id=\"T_6e882_row5_col143\" class=\"data row5 col143\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col144\" class=\"data row5 col144\" >0.07</td>\n",
       "      <td id=\"T_6e882_row5_col145\" class=\"data row5 col145\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row5_col146\" class=\"data row5 col146\" >0.16</td>\n",
       "      <td id=\"T_6e882_row5_col147\" class=\"data row5 col147\" >0.11</td>\n",
       "      <td id=\"T_6e882_row5_col148\" class=\"data row5 col148\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row5_col149\" class=\"data row5 col149\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row5_col150\" class=\"data row5 col150\" >0.18</td>\n",
       "      <td id=\"T_6e882_row5_col151\" class=\"data row5 col151\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row5_col152\" class=\"data row5 col152\" >0.16</td>\n",
       "      <td id=\"T_6e882_row5_col153\" class=\"data row5 col153\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row5_col154\" class=\"data row5 col154\" >0.07</td>\n",
       "      <td id=\"T_6e882_row5_col155\" class=\"data row5 col155\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row5_col156\" class=\"data row5 col156\" >0.15</td>\n",
       "      <td id=\"T_6e882_row5_col157\" class=\"data row5 col157\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row5_col158\" class=\"data row5 col158\" >0.03</td>\n",
       "      <td id=\"T_6e882_row5_col159\" class=\"data row5 col159\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row5_col160\" class=\"data row5 col160\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row5_col161\" class=\"data row5 col161\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row5_col162\" class=\"data row5 col162\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col163\" class=\"data row5 col163\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col164\" class=\"data row5 col164\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col165\" class=\"data row5 col165\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col166\" class=\"data row5 col166\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col167\" class=\"data row5 col167\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col168\" class=\"data row5 col168\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col169\" class=\"data row5 col169\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row5_col170\" class=\"data row5 col170\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col171\" class=\"data row5 col171\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col172\" class=\"data row5 col172\" >0.90</td>\n",
       "      <td id=\"T_6e882_row5_col173\" class=\"data row5 col173\" >0.94</td>\n",
       "      <td id=\"T_6e882_row5_col174\" class=\"data row5 col174\" >0.94</td>\n",
       "      <td id=\"T_6e882_row5_col175\" class=\"data row5 col175\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col176\" class=\"data row5 col176\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col177\" class=\"data row5 col177\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col178\" class=\"data row5 col178\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col179\" class=\"data row5 col179\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col180\" class=\"data row5 col180\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col181\" class=\"data row5 col181\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col182\" class=\"data row5 col182\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col183\" class=\"data row5 col183\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col184\" class=\"data row5 col184\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col185\" class=\"data row5 col185\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row5_col186\" class=\"data row5 col186\" >0.06</td>\n",
       "      <td id=\"T_6e882_row5_col187\" class=\"data row5 col187\" >0.16</td>\n",
       "      <td id=\"T_6e882_row5_col188\" class=\"data row5 col188\" >0.15</td>\n",
       "      <td id=\"T_6e882_row5_col189\" class=\"data row5 col189\" >-0.18</td>\n",
       "      <td id=\"T_6e882_row5_col190\" class=\"data row5 col190\" >0.21</td>\n",
       "      <td id=\"T_6e882_row5_col191\" class=\"data row5 col191\" >0.08</td>\n",
       "      <td id=\"T_6e882_row5_col192\" class=\"data row5 col192\" >0.08</td>\n",
       "      <td id=\"T_6e882_row5_col193\" class=\"data row5 col193\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col194\" class=\"data row5 col194\" >0.06</td>\n",
       "      <td id=\"T_6e882_row5_col195\" class=\"data row5 col195\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col196\" class=\"data row5 col196\" >0.03</td>\n",
       "      <td id=\"T_6e882_row5_col197\" class=\"data row5 col197\" >0.03</td>\n",
       "      <td id=\"T_6e882_row5_col198\" class=\"data row5 col198\" >0.04</td>\n",
       "      <td id=\"T_6e882_row5_col199\" class=\"data row5 col199\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row5_col200\" class=\"data row5 col200\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col201\" class=\"data row5 col201\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col202\" class=\"data row5 col202\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row5_col203\" class=\"data row5 col203\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col204\" class=\"data row5 col204\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col205\" class=\"data row5 col205\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col206\" class=\"data row5 col206\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row5_col207\" class=\"data row5 col207\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col208\" class=\"data row5 col208\" >0.23</td>\n",
       "      <td id=\"T_6e882_row5_col209\" class=\"data row5 col209\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row5_col210\" class=\"data row5 col210\" >0.02</td>\n",
       "      <td id=\"T_6e882_row5_col211\" class=\"data row5 col211\" >0.05</td>\n",
       "      <td id=\"T_6e882_row5_col212\" class=\"data row5 col212\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col213\" class=\"data row5 col213\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col214\" class=\"data row5 col214\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col215\" class=\"data row5 col215\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row5_col216\" class=\"data row5 col216\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col217\" class=\"data row5 col217\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col218\" class=\"data row5 col218\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col219\" class=\"data row5 col219\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row5_col220\" class=\"data row5 col220\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col221\" class=\"data row5 col221\" >0.23</td>\n",
       "      <td id=\"T_6e882_row5_col222\" class=\"data row5 col222\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row5_col223\" class=\"data row5 col223\" >0.02</td>\n",
       "      <td id=\"T_6e882_row5_col224\" class=\"data row5 col224\" >0.05</td>\n",
       "      <td id=\"T_6e882_row5_col225\" class=\"data row5 col225\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col226\" class=\"data row5 col226\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col227\" class=\"data row5 col227\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col228\" class=\"data row5 col228\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col229\" class=\"data row5 col229\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row5_col230\" class=\"data row5 col230\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col231\" class=\"data row5 col231\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col232\" class=\"data row5 col232\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col233\" class=\"data row5 col233\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col234\" class=\"data row5 col234\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row5_col235\" class=\"data row5 col235\" >0.10</td>\n",
       "      <td id=\"T_6e882_row5_col236\" class=\"data row5 col236\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col237\" class=\"data row5 col237\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row5_col238\" class=\"data row5 col238\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col239\" class=\"data row5 col239\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row5_col240\" class=\"data row5 col240\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row5_col241\" class=\"data row5 col241\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row5_col242\" class=\"data row5 col242\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col243\" class=\"data row5 col243\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row5_col244\" class=\"data row5 col244\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row5_col245\" class=\"data row5 col245\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col246\" class=\"data row5 col246\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row5_col247\" class=\"data row5 col247\" >0.35</td>\n",
       "      <td id=\"T_6e882_row5_col248\" class=\"data row5 col248\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row5_col249\" class=\"data row5 col249\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row5_col250\" class=\"data row5 col250\" >0.09</td>\n",
       "      <td id=\"T_6e882_row5_col251\" class=\"data row5 col251\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col252\" class=\"data row5 col252\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col253\" class=\"data row5 col253\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col254\" class=\"data row5 col254\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col255\" class=\"data row5 col255\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col256\" class=\"data row5 col256\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col257\" class=\"data row5 col257\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col258\" class=\"data row5 col258\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col259\" class=\"data row5 col259\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col260\" class=\"data row5 col260\" >0.22</td>\n",
       "      <td id=\"T_6e882_row5_col261\" class=\"data row5 col261\" >0.31</td>\n",
       "      <td id=\"T_6e882_row5_col262\" class=\"data row5 col262\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row5_col263\" class=\"data row5 col263\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row5_col264\" class=\"data row5 col264\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row5_col265\" class=\"data row5 col265\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col266\" class=\"data row5 col266\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row5_col267\" class=\"data row5 col267\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col268\" class=\"data row5 col268\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col269\" class=\"data row5 col269\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row5_col270\" class=\"data row5 col270\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col271\" class=\"data row5 col271\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row5_col272\" class=\"data row5 col272\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col273\" class=\"data row5 col273\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row5_col274\" class=\"data row5 col274\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row5_col275\" class=\"data row5 col275\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row5_col276\" class=\"data row5 col276\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row5_col277\" class=\"data row5 col277\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col278\" class=\"data row5 col278\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col279\" class=\"data row5 col279\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row5_col280\" class=\"data row5 col280\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col281\" class=\"data row5 col281\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col282\" class=\"data row5 col282\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col283\" class=\"data row5 col283\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col284\" class=\"data row5 col284\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col285\" class=\"data row5 col285\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col286\" class=\"data row5 col286\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col287\" class=\"data row5 col287\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row5_col288\" class=\"data row5 col288\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row5_col289\" class=\"data row5 col289\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row5_col290\" class=\"data row5 col290\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col291\" class=\"data row5 col291\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row5_col292\" class=\"data row5 col292\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col293\" class=\"data row5 col293\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row5_col294\" class=\"data row5 col294\" >0.01</td>\n",
       "      <td id=\"T_6e882_row5_col295\" class=\"data row5 col295\" >0.06</td>\n",
       "      <td id=\"T_6e882_row5_col296\" class=\"data row5 col296\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row5_col297\" class=\"data row5 col297\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row5_col298\" class=\"data row5 col298\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row5_col299\" class=\"data row5 col299\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row5_col300\" class=\"data row5 col300\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row5_col301\" class=\"data row5 col301\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row5_col302\" class=\"data row5 col302\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col303\" class=\"data row5 col303\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col304\" class=\"data row5 col304\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col305\" class=\"data row5 col305\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col306\" class=\"data row5 col306\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col307\" class=\"data row5 col307\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col308\" class=\"data row5 col308\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col309\" class=\"data row5 col309\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col310\" class=\"data row5 col310\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col311\" class=\"data row5 col311\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col312\" class=\"data row5 col312\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col313\" class=\"data row5 col313\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col314\" class=\"data row5 col314\" >-1.00</td>\n",
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       "      <td id=\"T_6e882_row5_col523\" class=\"data row5 col523\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row5_col524\" class=\"data row5 col524\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col525\" class=\"data row5 col525\" >0.15</td>\n",
       "      <td id=\"T_6e882_row5_col526\" class=\"data row5 col526\" >-0.29</td>\n",
       "      <td id=\"T_6e882_row5_col527\" class=\"data row5 col527\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row5_col528\" class=\"data row5 col528\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row5_col529\" class=\"data row5 col529\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row5_col530\" class=\"data row5 col530\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row5_col531\" class=\"data row5 col531\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row5_col532\" class=\"data row5 col532\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col533\" class=\"data row5 col533\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row5_col534\" class=\"data row5 col534\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row5_col535\" class=\"data row5 col535\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row5_col536\" class=\"data row5 col536\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row5_col537\" class=\"data row5 col537\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row5_col538\" class=\"data row5 col538\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col539\" class=\"data row5 col539\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row5_col540\" class=\"data row5 col540\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row5_col541\" class=\"data row5 col541\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col542\" class=\"data row5 col542\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col543\" class=\"data row5 col543\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col544\" class=\"data row5 col544\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col545\" class=\"data row5 col545\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row5_col546\" class=\"data row5 col546\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row5_col547\" class=\"data row5 col547\" >-1.00</td>\n",
       "      <td id=\"T_6e882_row5_col548\" class=\"data row5 col548\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row5_col549\" class=\"data row5 col549\" >-0.29</td>\n",
       "      <td id=\"T_6e882_row5_col550\" class=\"data row5 col550\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row5_col551\" class=\"data row5 col551\" >0.14</td>\n",
       "      <td id=\"T_6e882_row5_col552\" class=\"data row5 col552\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row5_col553\" class=\"data row5 col553\" >-0.68</td>\n",
       "      <td id=\"T_6e882_row5_col554\" class=\"data row5 col554\" >0.01</td>\n",
       "      <td id=\"T_6e882_row5_col555\" class=\"data row5 col555\" >0.01</td>\n",
       "      <td id=\"T_6e882_row5_col556\" class=\"data row5 col556\" >0.05</td>\n",
       "      <td id=\"T_6e882_row5_col557\" class=\"data row5 col557\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row5_col558\" class=\"data row5 col558\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row5_col559\" class=\"data row5 col559\" >0.18</td>\n",
       "      <td id=\"T_6e882_row5_col560\" class=\"data row5 col560\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row5_col561\" class=\"data row5 col561\" >12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "      <td id=\"T_6e882_row6_col0\" class=\"data row6 col0\" >0.29</td>\n",
       "      <td id=\"T_6e882_row6_col1\" class=\"data row6 col1\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row6_col2\" class=\"data row6 col2\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row6_col3\" class=\"data row6 col3\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row6_col4\" class=\"data row6 col4\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row6_col5\" class=\"data row6 col5\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row6_col6\" class=\"data row6 col6\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row6_col7\" class=\"data row6 col7\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row6_col8\" class=\"data row6 col8\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row6_col9\" class=\"data row6 col9\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row6_col10\" class=\"data row6 col10\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row6_col11\" class=\"data row6 col11\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col12\" class=\"data row6 col12\" >0.84</td>\n",
       "      <td id=\"T_6e882_row6_col13\" class=\"data row6 col13\" >0.68</td>\n",
       "      <td id=\"T_6e882_row6_col14\" class=\"data row6 col14\" >0.84</td>\n",
       "      <td id=\"T_6e882_row6_col15\" class=\"data row6 col15\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row6_col16\" class=\"data row6 col16\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row6_col17\" class=\"data row6 col17\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row6_col18\" class=\"data row6 col18\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row6_col19\" class=\"data row6 col19\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row6_col20\" class=\"data row6 col20\" >-0.35</td>\n",
       "      <td id=\"T_6e882_row6_col21\" class=\"data row6 col21\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col22\" class=\"data row6 col22\" >0.31</td>\n",
       "      <td id=\"T_6e882_row6_col23\" class=\"data row6 col23\" >0.29</td>\n",
       "      <td id=\"T_6e882_row6_col24\" class=\"data row6 col24\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col25\" class=\"data row6 col25\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col26\" class=\"data row6 col26\" >0.30</td>\n",
       "      <td id=\"T_6e882_row6_col27\" class=\"data row6 col27\" >0.14</td>\n",
       "      <td id=\"T_6e882_row6_col28\" class=\"data row6 col28\" >0.26</td>\n",
       "      <td id=\"T_6e882_row6_col29\" class=\"data row6 col29\" >0.14</td>\n",
       "      <td id=\"T_6e882_row6_col30\" class=\"data row6 col30\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col31\" class=\"data row6 col31\" >0.28</td>\n",
       "      <td id=\"T_6e882_row6_col32\" class=\"data row6 col32\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col33\" class=\"data row6 col33\" >0.20</td>\n",
       "      <td id=\"T_6e882_row6_col34\" class=\"data row6 col34\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col35\" class=\"data row6 col35\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col36\" class=\"data row6 col36\" >0.06</td>\n",
       "      <td id=\"T_6e882_row6_col37\" class=\"data row6 col37\" >0.11</td>\n",
       "      <td id=\"T_6e882_row6_col38\" class=\"data row6 col38\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row6_col39\" class=\"data row6 col39\" >0.34</td>\n",
       "      <td id=\"T_6e882_row6_col40\" class=\"data row6 col40\" >0.96</td>\n",
       "      <td id=\"T_6e882_row6_col41\" class=\"data row6 col41\" >0.09</td>\n",
       "      <td id=\"T_6e882_row6_col42\" class=\"data row6 col42\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col43\" class=\"data row6 col43\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col44\" class=\"data row6 col44\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row6_col45\" class=\"data row6 col45\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col46\" class=\"data row6 col46\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col47\" class=\"data row6 col47\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col48\" class=\"data row6 col48\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row6_col49\" class=\"data row6 col49\" >0.89</td>\n",
       "      <td id=\"T_6e882_row6_col50\" class=\"data row6 col50\" >0.08</td>\n",
       "      <td id=\"T_6e882_row6_col51\" class=\"data row6 col51\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col52\" class=\"data row6 col52\" >0.97</td>\n",
       "      <td id=\"T_6e882_row6_col53\" class=\"data row6 col53\" >0.10</td>\n",
       "      <td id=\"T_6e882_row6_col54\" class=\"data row6 col54\" >0.16</td>\n",
       "      <td id=\"T_6e882_row6_col55\" class=\"data row6 col55\" >0.11</td>\n",
       "      <td id=\"T_6e882_row6_col56\" class=\"data row6 col56\" >0.88</td>\n",
       "      <td id=\"T_6e882_row6_col57\" class=\"data row6 col57\" >-0.76</td>\n",
       "      <td id=\"T_6e882_row6_col58\" class=\"data row6 col58\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col59\" class=\"data row6 col59\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row6_col60\" class=\"data row6 col60\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col61\" class=\"data row6 col61\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row6_col62\" class=\"data row6 col62\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row6_col63\" class=\"data row6 col63\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row6_col64\" class=\"data row6 col64\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row6_col65\" class=\"data row6 col65\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row6_col66\" class=\"data row6 col66\" >0.67</td>\n",
       "      <td id=\"T_6e882_row6_col67\" class=\"data row6 col67\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row6_col68\" class=\"data row6 col68\" >0.76</td>\n",
       "      <td id=\"T_6e882_row6_col69\" class=\"data row6 col69\" >-0.14</td>\n",
       "      <td id=\"T_6e882_row6_col70\" class=\"data row6 col70\" >0.54</td>\n",
       "      <td id=\"T_6e882_row6_col71\" class=\"data row6 col71\" >-0.18</td>\n",
       "      <td id=\"T_6e882_row6_col72\" class=\"data row6 col72\" >0.61</td>\n",
       "      <td id=\"T_6e882_row6_col73\" class=\"data row6 col73\" >-0.25</td>\n",
       "      <td id=\"T_6e882_row6_col74\" class=\"data row6 col74\" >0.63</td>\n",
       "      <td id=\"T_6e882_row6_col75\" class=\"data row6 col75\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row6_col76\" class=\"data row6 col76\" >0.68</td>\n",
       "      <td id=\"T_6e882_row6_col77\" class=\"data row6 col77\" >0.82</td>\n",
       "      <td id=\"T_6e882_row6_col78\" class=\"data row6 col78\" >0.57</td>\n",
       "      <td id=\"T_6e882_row6_col79\" class=\"data row6 col79\" >0.76</td>\n",
       "      <td id=\"T_6e882_row6_col80\" class=\"data row6 col80\" >0.09</td>\n",
       "      <td id=\"T_6e882_row6_col81\" class=\"data row6 col81\" >0.04</td>\n",
       "      <td id=\"T_6e882_row6_col82\" class=\"data row6 col82\" >0.02</td>\n",
       "      <td id=\"T_6e882_row6_col83\" class=\"data row6 col83\" >-0.30</td>\n",
       "      <td id=\"T_6e882_row6_col84\" class=\"data row6 col84\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row6_col85\" class=\"data row6 col85\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row6_col86\" class=\"data row6 col86\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row6_col87\" class=\"data row6 col87\" >-0.21</td>\n",
       "      <td id=\"T_6e882_row6_col88\" class=\"data row6 col88\" >-0.55</td>\n",
       "      <td id=\"T_6e882_row6_col89\" class=\"data row6 col89\" >-0.45</td>\n",
       "      <td id=\"T_6e882_row6_col90\" class=\"data row6 col90\" >-0.54</td>\n",
       "      <td id=\"T_6e882_row6_col91\" class=\"data row6 col91\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row6_col92\" class=\"data row6 col92\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col93\" class=\"data row6 col93\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col94\" class=\"data row6 col94\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col95\" class=\"data row6 col95\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row6_col96\" class=\"data row6 col96\" >-0.75</td>\n",
       "      <td id=\"T_6e882_row6_col97\" class=\"data row6 col97\" >-0.70</td>\n",
       "      <td id=\"T_6e882_row6_col98\" class=\"data row6 col98\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row6_col99\" class=\"data row6 col99\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row6_col100\" class=\"data row6 col100\" >-0.35</td>\n",
       "      <td id=\"T_6e882_row6_col101\" class=\"data row6 col101\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row6_col102\" class=\"data row6 col102\" >0.62</td>\n",
       "      <td id=\"T_6e882_row6_col103\" class=\"data row6 col103\" >0.56</td>\n",
       "      <td id=\"T_6e882_row6_col104\" class=\"data row6 col104\" >0.49</td>\n",
       "      <td id=\"T_6e882_row6_col105\" class=\"data row6 col105\" >0.15</td>\n",
       "      <td id=\"T_6e882_row6_col106\" class=\"data row6 col106\" >0.31</td>\n",
       "      <td id=\"T_6e882_row6_col107\" class=\"data row6 col107\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col108\" class=\"data row6 col108\" >0.28</td>\n",
       "      <td id=\"T_6e882_row6_col109\" class=\"data row6 col109\" >0.12</td>\n",
       "      <td id=\"T_6e882_row6_col110\" class=\"data row6 col110\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col111\" class=\"data row6 col111\" >0.33</td>\n",
       "      <td id=\"T_6e882_row6_col112\" class=\"data row6 col112\" >0.43</td>\n",
       "      <td id=\"T_6e882_row6_col113\" class=\"data row6 col113\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col114\" class=\"data row6 col114\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col115\" class=\"data row6 col115\" >0.15</td>\n",
       "      <td id=\"T_6e882_row6_col116\" class=\"data row6 col116\" >0.30</td>\n",
       "      <td id=\"T_6e882_row6_col117\" class=\"data row6 col117\" >0.05</td>\n",
       "      <td id=\"T_6e882_row6_col118\" class=\"data row6 col118\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col119\" class=\"data row6 col119\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col120\" class=\"data row6 col120\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row6_col121\" class=\"data row6 col121\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row6_col122\" class=\"data row6 col122\" >0.11</td>\n",
       "      <td id=\"T_6e882_row6_col123\" class=\"data row6 col123\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row6_col124\" class=\"data row6 col124\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row6_col125\" class=\"data row6 col125\" >-0.35</td>\n",
       "      <td id=\"T_6e882_row6_col126\" class=\"data row6 col126\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row6_col127\" class=\"data row6 col127\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row6_col128\" class=\"data row6 col128\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col129\" class=\"data row6 col129\" >-0.45</td>\n",
       "      <td id=\"T_6e882_row6_col130\" class=\"data row6 col130\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row6_col131\" class=\"data row6 col131\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row6_col132\" class=\"data row6 col132\" >0.84</td>\n",
       "      <td id=\"T_6e882_row6_col133\" class=\"data row6 col133\" >0.90</td>\n",
       "      <td id=\"T_6e882_row6_col134\" class=\"data row6 col134\" >0.82</td>\n",
       "      <td id=\"T_6e882_row6_col135\" class=\"data row6 col135\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row6_col136\" class=\"data row6 col136\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row6_col137\" class=\"data row6 col137\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col138\" class=\"data row6 col138\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row6_col139\" class=\"data row6 col139\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row6_col140\" class=\"data row6 col140\" >-0.53</td>\n",
       "      <td id=\"T_6e882_row6_col141\" class=\"data row6 col141\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row6_col142\" class=\"data row6 col142\" >0.18</td>\n",
       "      <td id=\"T_6e882_row6_col143\" class=\"data row6 col143\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col144\" class=\"data row6 col144\" >0.32</td>\n",
       "      <td id=\"T_6e882_row6_col145\" class=\"data row6 col145\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row6_col146\" class=\"data row6 col146\" >0.31</td>\n",
       "      <td id=\"T_6e882_row6_col147\" class=\"data row6 col147\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col148\" class=\"data row6 col148\" >0.08</td>\n",
       "      <td id=\"T_6e882_row6_col149\" class=\"data row6 col149\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row6_col150\" class=\"data row6 col150\" >0.30</td>\n",
       "      <td id=\"T_6e882_row6_col151\" class=\"data row6 col151\" >0.09</td>\n",
       "      <td id=\"T_6e882_row6_col152\" class=\"data row6 col152\" >0.31</td>\n",
       "      <td id=\"T_6e882_row6_col153\" class=\"data row6 col153\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col154\" class=\"data row6 col154\" >0.28</td>\n",
       "      <td id=\"T_6e882_row6_col155\" class=\"data row6 col155\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col156\" class=\"data row6 col156\" >0.31</td>\n",
       "      <td id=\"T_6e882_row6_col157\" class=\"data row6 col157\" >0.08</td>\n",
       "      <td id=\"T_6e882_row6_col158\" class=\"data row6 col158\" >0.28</td>\n",
       "      <td id=\"T_6e882_row6_col159\" class=\"data row6 col159\" >0.19</td>\n",
       "      <td id=\"T_6e882_row6_col160\" class=\"data row6 col160\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row6_col161\" class=\"data row6 col161\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row6_col162\" class=\"data row6 col162\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row6_col163\" class=\"data row6 col163\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row6_col164\" class=\"data row6 col164\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row6_col165\" class=\"data row6 col165\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row6_col166\" class=\"data row6 col166\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row6_col167\" class=\"data row6 col167\" >-0.64</td>\n",
       "      <td id=\"T_6e882_row6_col168\" class=\"data row6 col168\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row6_col169\" class=\"data row6 col169\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row6_col170\" class=\"data row6 col170\" >-0.68</td>\n",
       "      <td id=\"T_6e882_row6_col171\" class=\"data row6 col171\" >-0.53</td>\n",
       "      <td id=\"T_6e882_row6_col172\" class=\"data row6 col172\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col173\" class=\"data row6 col173\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col174\" class=\"data row6 col174\" >0.99</td>\n",
       "      <td id=\"T_6e882_row6_col175\" class=\"data row6 col175\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row6_col176\" class=\"data row6 col176\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col177\" class=\"data row6 col177\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col178\" class=\"data row6 col178\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row6_col179\" class=\"data row6 col179\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row6_col180\" class=\"data row6 col180\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row6_col181\" class=\"data row6 col181\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row6_col182\" class=\"data row6 col182\" >0.54</td>\n",
       "      <td id=\"T_6e882_row6_col183\" class=\"data row6 col183\" >0.55</td>\n",
       "      <td id=\"T_6e882_row6_col184\" class=\"data row6 col184\" >0.58</td>\n",
       "      <td id=\"T_6e882_row6_col185\" class=\"data row6 col185\" >0.07</td>\n",
       "      <td id=\"T_6e882_row6_col186\" class=\"data row6 col186\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col187\" class=\"data row6 col187\" >0.30</td>\n",
       "      <td id=\"T_6e882_row6_col188\" class=\"data row6 col188\" >0.30</td>\n",
       "      <td id=\"T_6e882_row6_col189\" class=\"data row6 col189\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row6_col190\" class=\"data row6 col190\" >0.32</td>\n",
       "      <td id=\"T_6e882_row6_col191\" class=\"data row6 col191\" >0.21</td>\n",
       "      <td id=\"T_6e882_row6_col192\" class=\"data row6 col192\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col193\" class=\"data row6 col193\" >0.21</td>\n",
       "      <td id=\"T_6e882_row6_col194\" class=\"data row6 col194\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col195\" class=\"data row6 col195\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col196\" class=\"data row6 col196\" >0.20</td>\n",
       "      <td id=\"T_6e882_row6_col197\" class=\"data row6 col197\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col198\" class=\"data row6 col198\" >0.23</td>\n",
       "      <td id=\"T_6e882_row6_col199\" class=\"data row6 col199\" >0.08</td>\n",
       "      <td id=\"T_6e882_row6_col200\" class=\"data row6 col200\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row6_col201\" class=\"data row6 col201\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row6_col202\" class=\"data row6 col202\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row6_col203\" class=\"data row6 col203\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row6_col204\" class=\"data row6 col204\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row6_col205\" class=\"data row6 col205\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row6_col206\" class=\"data row6 col206\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row6_col207\" class=\"data row6 col207\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row6_col208\" class=\"data row6 col208\" >0.79</td>\n",
       "      <td id=\"T_6e882_row6_col209\" class=\"data row6 col209\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col210\" class=\"data row6 col210\" >0.18</td>\n",
       "      <td id=\"T_6e882_row6_col211\" class=\"data row6 col211\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col212\" class=\"data row6 col212\" >0.12</td>\n",
       "      <td id=\"T_6e882_row6_col213\" class=\"data row6 col213\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row6_col214\" class=\"data row6 col214\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row6_col215\" class=\"data row6 col215\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row6_col216\" class=\"data row6 col216\" >-0.20</td>\n",
       "      <td id=\"T_6e882_row6_col217\" class=\"data row6 col217\" >-0.69</td>\n",
       "      <td id=\"T_6e882_row6_col218\" class=\"data row6 col218\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row6_col219\" class=\"data row6 col219\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row6_col220\" class=\"data row6 col220\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row6_col221\" class=\"data row6 col221\" >0.79</td>\n",
       "      <td id=\"T_6e882_row6_col222\" class=\"data row6 col222\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col223\" class=\"data row6 col223\" >0.18</td>\n",
       "      <td id=\"T_6e882_row6_col224\" class=\"data row6 col224\" >0.22</td>\n",
       "      <td id=\"T_6e882_row6_col225\" class=\"data row6 col225\" >0.12</td>\n",
       "      <td id=\"T_6e882_row6_col226\" class=\"data row6 col226\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row6_col227\" class=\"data row6 col227\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row6_col228\" class=\"data row6 col228\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row6_col229\" class=\"data row6 col229\" >-0.30</td>\n",
       "      <td id=\"T_6e882_row6_col230\" class=\"data row6 col230\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row6_col231\" class=\"data row6 col231\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row6_col232\" class=\"data row6 col232\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row6_col233\" class=\"data row6 col233\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row6_col234\" class=\"data row6 col234\" >0.70</td>\n",
       "      <td id=\"T_6e882_row6_col235\" class=\"data row6 col235\" >0.26</td>\n",
       "      <td id=\"T_6e882_row6_col236\" class=\"data row6 col236\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col237\" class=\"data row6 col237\" >0.06</td>\n",
       "      <td id=\"T_6e882_row6_col238\" class=\"data row6 col238\" >0.15</td>\n",
       "      <td id=\"T_6e882_row6_col239\" class=\"data row6 col239\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row6_col240\" class=\"data row6 col240\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row6_col241\" class=\"data row6 col241\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col242\" class=\"data row6 col242\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row6_col243\" class=\"data row6 col243\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row6_col244\" class=\"data row6 col244\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row6_col245\" class=\"data row6 col245\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row6_col246\" class=\"data row6 col246\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row6_col247\" class=\"data row6 col247\" >0.72</td>\n",
       "      <td id=\"T_6e882_row6_col248\" class=\"data row6 col248\" >0.17</td>\n",
       "      <td id=\"T_6e882_row6_col249\" class=\"data row6 col249\" >0.09</td>\n",
       "      <td id=\"T_6e882_row6_col250\" class=\"data row6 col250\" >0.26</td>\n",
       "      <td id=\"T_6e882_row6_col251\" class=\"data row6 col251\" >0.13</td>\n",
       "      <td id=\"T_6e882_row6_col252\" class=\"data row6 col252\" >-0.57</td>\n",
       "      <td id=\"T_6e882_row6_col253\" class=\"data row6 col253\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row6_col254\" class=\"data row6 col254\" >-0.64</td>\n",
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       "      <td id=\"T_6e882_row6_col258\" class=\"data row6 col258\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row6_col259\" class=\"data row6 col259\" >-0.66</td>\n",
       "      <td id=\"T_6e882_row6_col260\" class=\"data row6 col260\" >0.84</td>\n",
       "      <td id=\"T_6e882_row6_col261\" class=\"data row6 col261\" >0.46</td>\n",
       "      <td id=\"T_6e882_row6_col262\" class=\"data row6 col262\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row6_col263\" class=\"data row6 col263\" >0.07</td>\n",
       "      <td id=\"T_6e882_row6_col264\" class=\"data row6 col264\" >0.07</td>\n",
       "      <td id=\"T_6e882_row6_col265\" class=\"data row6 col265\" >-0.29</td>\n",
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       "      <td id=\"T_6e882_row6_col378\" class=\"data row6 col378\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row6_col379\" class=\"data row6 col379\" >-0.39</td>\n",
       "      <td id=\"T_6e882_row6_col380\" class=\"data row6 col380\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row6_col381\" class=\"data row6 col381\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row6_col382\" class=\"data row6 col382\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row6_col383\" class=\"data row6 col383\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row6_col384\" class=\"data row6 col384\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col385\" class=\"data row6 col385\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row6_col386\" class=\"data row6 col386\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col387\" class=\"data row6 col387\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col388\" class=\"data row6 col388\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row6_col389\" class=\"data row6 col389\" >-0.78</td>\n",
       "      <td id=\"T_6e882_row6_col390\" class=\"data row6 col390\" >-0.77</td>\n",
       "      <td id=\"T_6e882_row6_col391\" class=\"data row6 col391\" >-0.87</td>\n",
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       "      <td id=\"T_6e882_row6_col395\" class=\"data row6 col395\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row6_col396\" class=\"data row6 col396\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row6_col397\" class=\"data row6 col397\" >-0.74</td>\n",
       "      <td id=\"T_6e882_row6_col398\" class=\"data row6 col398\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row6_col399\" class=\"data row6 col399\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row6_col400\" class=\"data row6 col400\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row6_col401\" class=\"data row6 col401\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row6_col402\" class=\"data row6 col402\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row6_col403\" class=\"data row6 col403\" >-0.75</td>\n",
       "      <td id=\"T_6e882_row6_col404\" class=\"data row6 col404\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row6_col405\" class=\"data row6 col405\" >-0.82</td>\n",
       "      <td id=\"T_6e882_row6_col406\" class=\"data row6 col406\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row6_col407\" class=\"data row6 col407\" >-0.68</td>\n",
       "      <td id=\"T_6e882_row6_col408\" class=\"data row6 col408\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row6_col409\" class=\"data row6 col409\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col410\" class=\"data row6 col410\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col411\" class=\"data row6 col411\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row6_col412\" class=\"data row6 col412\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col413\" class=\"data row6 col413\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col414\" class=\"data row6 col414\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col415\" class=\"data row6 col415\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row6_col416\" class=\"data row6 col416\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row6_col417\" class=\"data row6 col417\" >-0.83</td>\n",
       "      <td id=\"T_6e882_row6_col418\" class=\"data row6 col418\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col419\" class=\"data row6 col419\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col420\" class=\"data row6 col420\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row6_col421\" class=\"data row6 col421\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row6_col422\" class=\"data row6 col422\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col423\" class=\"data row6 col423\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col424\" class=\"data row6 col424\" >-0.50</td>\n",
       "      <td id=\"T_6e882_row6_col425\" class=\"data row6 col425\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row6_col426\" class=\"data row6 col426\" >-0.53</td>\n",
       "      <td id=\"T_6e882_row6_col427\" class=\"data row6 col427\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row6_col428\" class=\"data row6 col428\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row6_col429\" class=\"data row6 col429\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row6_col430\" class=\"data row6 col430\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row6_col431\" class=\"data row6 col431\" >-0.33</td>\n",
       "      <td id=\"T_6e882_row6_col432\" class=\"data row6 col432\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row6_col433\" class=\"data row6 col433\" >-0.60</td>\n",
       "      <td id=\"T_6e882_row6_col434\" class=\"data row6 col434\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row6_col435\" class=\"data row6 col435\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row6_col436\" class=\"data row6 col436\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col437\" class=\"data row6 col437\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col438\" class=\"data row6 col438\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row6_col439\" class=\"data row6 col439\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col440\" class=\"data row6 col440\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col441\" class=\"data row6 col441\" >-0.79</td>\n",
       "      <td id=\"T_6e882_row6_col442\" class=\"data row6 col442\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row6_col443\" class=\"data row6 col443\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row6_col444\" class=\"data row6 col444\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row6_col445\" class=\"data row6 col445\" >0.52</td>\n",
       "      <td id=\"T_6e882_row6_col446\" class=\"data row6 col446\" >0.57</td>\n",
       "      <td id=\"T_6e882_row6_col447\" class=\"data row6 col447\" >0.45</td>\n",
       "      <td id=\"T_6e882_row6_col448\" class=\"data row6 col448\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col449\" class=\"data row6 col449\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row6_col450\" class=\"data row6 col450\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row6_col451\" class=\"data row6 col451\" >0.06</td>\n",
       "      <td id=\"T_6e882_row6_col452\" class=\"data row6 col452\" >0.02</td>\n",
       "      <td id=\"T_6e882_row6_col453\" class=\"data row6 col453\" >0.12</td>\n",
       "      <td id=\"T_6e882_row6_col454\" class=\"data row6 col454\" >0.02</td>\n",
       "      <td id=\"T_6e882_row6_col455\" class=\"data row6 col455\" >-0.32</td>\n",
       "      <td id=\"T_6e882_row6_col456\" class=\"data row6 col456\" >0.02</td>\n",
       "      <td id=\"T_6e882_row6_col457\" class=\"data row6 col457\" >-0.37</td>\n",
       "      <td id=\"T_6e882_row6_col458\" class=\"data row6 col458\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row6_col459\" class=\"data row6 col459\" >-0.35</td>\n",
       "      <td id=\"T_6e882_row6_col460\" class=\"data row6 col460\" >-0.90</td>\n",
       "      <td id=\"T_6e882_row6_col461\" class=\"data row6 col461\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col462\" class=\"data row6 col462\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row6_col463\" class=\"data row6 col463\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row6_col464\" class=\"data row6 col464\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col465\" class=\"data row6 col465\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col466\" class=\"data row6 col466\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col467\" class=\"data row6 col467\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row6_col468\" class=\"data row6 col468\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row6_col469\" class=\"data row6 col469\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row6_col470\" class=\"data row6 col470\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col471\" class=\"data row6 col471\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row6_col472\" class=\"data row6 col472\" >-0.88</td>\n",
       "      <td id=\"T_6e882_row6_col473\" class=\"data row6 col473\" >-0.93</td>\n",
       "      <td id=\"T_6e882_row6_col474\" class=\"data row6 col474\" >-0.86</td>\n",
       "      <td id=\"T_6e882_row6_col475\" class=\"data row6 col475\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col476\" class=\"data row6 col476\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row6_col477\" class=\"data row6 col477\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row6_col478\" class=\"data row6 col478\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row6_col479\" class=\"data row6 col479\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col480\" class=\"data row6 col480\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col481\" class=\"data row6 col481\" >-0.99</td>\n",
       "      <td id=\"T_6e882_row6_col482\" class=\"data row6 col482\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col483\" class=\"data row6 col483\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col484\" class=\"data row6 col484\" >-0.97</td>\n",
       "      <td id=\"T_6e882_row6_col485\" class=\"data row6 col485\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col486\" class=\"data row6 col486\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row6_col487\" class=\"data row6 col487\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col488\" class=\"data row6 col488\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row6_col489\" class=\"data row6 col489\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row6_col490\" class=\"data row6 col490\" >-0.91</td>\n",
       "      <td id=\"T_6e882_row6_col491\" class=\"data row6 col491\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col492\" class=\"data row6 col492\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col493\" class=\"data row6 col493\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col494\" class=\"data row6 col494\" >-0.94</td>\n",
       "      <td id=\"T_6e882_row6_col495\" class=\"data row6 col495\" >-0.98</td>\n",
       "      <td id=\"T_6e882_row6_col496\" class=\"data row6 col496\" >-0.81</td>\n",
       "      <td id=\"T_6e882_row6_col497\" class=\"data row6 col497\" >-0.89</td>\n",
       "      <td id=\"T_6e882_row6_col498\" class=\"data row6 col498\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col499\" class=\"data row6 col499\" >-0.96</td>\n",
       "      <td id=\"T_6e882_row6_col500\" class=\"data row6 col500\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row6_col501\" class=\"data row6 col501\" >-0.95</td>\n",
       "      <td id=\"T_6e882_row6_col502\" class=\"data row6 col502\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row6_col503\" class=\"data row6 col503\" >-0.39</td>\n",
       "      <td id=\"T_6e882_row6_col504\" class=\"data row6 col504\" >-0.27</td>\n",
       "      <td id=\"T_6e882_row6_col505\" class=\"data row6 col505\" >-0.58</td>\n",
       "      <td id=\"T_6e882_row6_col506\" class=\"data row6 col506\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row6_col507\" class=\"data row6 col507\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row6_col508\" class=\"data row6 col508\" >-0.72</td>\n",
       "      <td id=\"T_6e882_row6_col509\" class=\"data row6 col509\" >-0.45</td>\n",
       "      <td id=\"T_6e882_row6_col510\" class=\"data row6 col510\" >0.48</td>\n",
       "      <td id=\"T_6e882_row6_col511\" class=\"data row6 col511\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row6_col512\" class=\"data row6 col512\" >0.25</td>\n",
       "      <td id=\"T_6e882_row6_col513\" class=\"data row6 col513\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row6_col514\" class=\"data row6 col514\" >-0.56</td>\n",
       "      <td id=\"T_6e882_row6_col515\" class=\"data row6 col515\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row6_col516\" class=\"data row6 col516\" >-0.29</td>\n",
       "      <td id=\"T_6e882_row6_col517\" class=\"data row6 col517\" >-0.25</td>\n",
       "      <td id=\"T_6e882_row6_col518\" class=\"data row6 col518\" >-0.36</td>\n",
       "      <td id=\"T_6e882_row6_col519\" class=\"data row6 col519\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row6_col520\" class=\"data row6 col520\" >-0.26</td>\n",
       "      <td id=\"T_6e882_row6_col521\" class=\"data row6 col521\" >-0.73</td>\n",
       "      <td id=\"T_6e882_row6_col522\" class=\"data row6 col522\" >-0.37</td>\n",
       "      <td id=\"T_6e882_row6_col523\" class=\"data row6 col523\" >0.34</td>\n",
       "      <td id=\"T_6e882_row6_col524\" class=\"data row6 col524\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col525\" class=\"data row6 col525\" >0.34</td>\n",
       "      <td id=\"T_6e882_row6_col526\" class=\"data row6 col526\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row6_col527\" class=\"data row6 col527\" >-0.37</td>\n",
       "      <td id=\"T_6e882_row6_col528\" class=\"data row6 col528\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row6_col529\" class=\"data row6 col529\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row6_col530\" class=\"data row6 col530\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row6_col531\" class=\"data row6 col531\" >-0.59</td>\n",
       "      <td id=\"T_6e882_row6_col532\" class=\"data row6 col532\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row6_col533\" class=\"data row6 col533\" >-0.48</td>\n",
       "      <td id=\"T_6e882_row6_col534\" class=\"data row6 col534\" >-0.84</td>\n",
       "      <td id=\"T_6e882_row6_col535\" class=\"data row6 col535\" >-0.52</td>\n",
       "      <td id=\"T_6e882_row6_col536\" class=\"data row6 col536\" >0.51</td>\n",
       "      <td id=\"T_6e882_row6_col537\" class=\"data row6 col537\" >-0.85</td>\n",
       "      <td id=\"T_6e882_row6_col538\" class=\"data row6 col538\" >0.16</td>\n",
       "      <td id=\"T_6e882_row6_col539\" class=\"data row6 col539\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row6_col540\" class=\"data row6 col540\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row6_col541\" class=\"data row6 col541\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row6_col542\" class=\"data row6 col542\" >-0.65</td>\n",
       "      <td id=\"T_6e882_row6_col543\" class=\"data row6 col543\" >-0.62</td>\n",
       "      <td id=\"T_6e882_row6_col544\" class=\"data row6 col544\" >-0.67</td>\n",
       "      <td id=\"T_6e882_row6_col545\" class=\"data row6 col545\" >-0.80</td>\n",
       "      <td id=\"T_6e882_row6_col546\" class=\"data row6 col546\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row6_col547\" class=\"data row6 col547\" >-0.92</td>\n",
       "      <td id=\"T_6e882_row6_col548\" class=\"data row6 col548\" >-0.61</td>\n",
       "      <td id=\"T_6e882_row6_col549\" class=\"data row6 col549\" >0.34</td>\n",
       "      <td id=\"T_6e882_row6_col550\" class=\"data row6 col550\" >-0.87</td>\n",
       "      <td id=\"T_6e882_row6_col551\" class=\"data row6 col551\" >0.29</td>\n",
       "      <td id=\"T_6e882_row6_col552\" class=\"data row6 col552\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row6_col553\" class=\"data row6 col553\" >-0.46</td>\n",
       "      <td id=\"T_6e882_row6_col554\" class=\"data row6 col554\" >0.15</td>\n",
       "      <td id=\"T_6e882_row6_col555\" class=\"data row6 col555\" >0.29</td>\n",
       "      <td id=\"T_6e882_row6_col556\" class=\"data row6 col556\" >0.62</td>\n",
       "      <td id=\"T_6e882_row6_col557\" class=\"data row6 col557\" >0.39</td>\n",
       "      <td id=\"T_6e882_row6_col558\" class=\"data row6 col558\" >-0.55</td>\n",
       "      <td id=\"T_6e882_row6_col559\" class=\"data row6 col559\" >0.26</td>\n",
       "      <td id=\"T_6e882_row6_col560\" class=\"data row6 col560\" >0.09</td>\n",
       "      <td id=\"T_6e882_row6_col561\" class=\"data row6 col561\" >18.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6e882_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "      <td id=\"T_6e882_row7_col0\" class=\"data row7 col0\" >0.67</td>\n",
       "      <td id=\"T_6e882_row7_col1\" class=\"data row7 col1\" >0.25</td>\n",
       "      <td id=\"T_6e882_row7_col2\" class=\"data row7 col2\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col3\" class=\"data row7 col3\" >0.47</td>\n",
       "      <td id=\"T_6e882_row7_col4\" class=\"data row7 col4\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col5\" class=\"data row7 col5\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col6\" class=\"data row7 col6\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col8\" class=\"data row7 col8\" >0.43</td>\n",
       "      <td id=\"T_6e882_row7_col9\" class=\"data row7 col9\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col10\" class=\"data row7 col10\" >0.67</td>\n",
       "      <td id=\"T_6e882_row7_col11\" class=\"data row7 col11\" >0.38</td>\n",
       "      <td id=\"T_6e882_row7_col12\" class=\"data row7 col12\" >0.85</td>\n",
       "      <td id=\"T_6e882_row7_col13\" class=\"data row7 col13\" >0.71</td>\n",
       "      <td id=\"T_6e882_row7_col14\" class=\"data row7 col14\" >0.85</td>\n",
       "      <td id=\"T_6e882_row7_col15\" class=\"data row7 col15\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col16\" class=\"data row7 col16\" >0.07</td>\n",
       "      <td id=\"T_6e882_row7_col17\" class=\"data row7 col17\" >-0.23</td>\n",
       "      <td id=\"T_6e882_row7_col18\" class=\"data row7 col18\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row7_col19\" class=\"data row7 col19\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col20\" class=\"data row7 col20\" >0.66</td>\n",
       "      <td id=\"T_6e882_row7_col21\" class=\"data row7 col21\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col22\" class=\"data row7 col22\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col23\" class=\"data row7 col23\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col24\" class=\"data row7 col24\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col25\" class=\"data row7 col25\" >0.81</td>\n",
       "      <td id=\"T_6e882_row7_col26\" class=\"data row7 col26\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col27\" class=\"data row7 col27\" >0.91</td>\n",
       "      <td id=\"T_6e882_row7_col28\" class=\"data row7 col28\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col29\" class=\"data row7 col29\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col30\" class=\"data row7 col30\" >0.78</td>\n",
       "      <td id=\"T_6e882_row7_col31\" class=\"data row7 col31\" >0.90</td>\n",
       "      <td id=\"T_6e882_row7_col32\" class=\"data row7 col32\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col33\" class=\"data row7 col33\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col34\" class=\"data row7 col34\" >0.84</td>\n",
       "      <td id=\"T_6e882_row7_col35\" class=\"data row7 col35\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col36\" class=\"data row7 col36\" >0.64</td>\n",
       "      <td id=\"T_6e882_row7_col37\" class=\"data row7 col37\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col38\" class=\"data row7 col38\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col39\" class=\"data row7 col39\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col40\" class=\"data row7 col40\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col41\" class=\"data row7 col41\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col42\" class=\"data row7 col42\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col43\" class=\"data row7 col43\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col44\" class=\"data row7 col44\" >-0.01</td>\n",
       "      <td id=\"T_6e882_row7_col45\" class=\"data row7 col45\" >0.56</td>\n",
       "      <td id=\"T_6e882_row7_col46\" class=\"data row7 col46\" >0.53</td>\n",
       "      <td id=\"T_6e882_row7_col47\" class=\"data row7 col47\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row7_col48\" class=\"data row7 col48\" >0.52</td>\n",
       "      <td id=\"T_6e882_row7_col49\" class=\"data row7 col49\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col50\" class=\"data row7 col50\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col51\" class=\"data row7 col51\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col52\" class=\"data row7 col52\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col53\" class=\"data row7 col53\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col54\" class=\"data row7 col54\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col55\" class=\"data row7 col55\" >0.95</td>\n",
       "      <td id=\"T_6e882_row7_col56\" class=\"data row7 col56\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col57\" class=\"data row7 col57\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col58\" class=\"data row7 col58\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col59\" class=\"data row7 col59\" >0.41</td>\n",
       "      <td id=\"T_6e882_row7_col60\" class=\"data row7 col60\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row7_col61\" class=\"data row7 col61\" >0.33</td>\n",
       "      <td id=\"T_6e882_row7_col62\" class=\"data row7 col62\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col63\" class=\"data row7 col63\" >0.75</td>\n",
       "      <td id=\"T_6e882_row7_col64\" class=\"data row7 col64\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col65\" class=\"data row7 col65\" >0.60</td>\n",
       "      <td id=\"T_6e882_row7_col66\" class=\"data row7 col66\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col67\" class=\"data row7 col67\" >0.57</td>\n",
       "      <td id=\"T_6e882_row7_col68\" class=\"data row7 col68\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col69\" class=\"data row7 col69\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col70\" class=\"data row7 col70\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col71\" class=\"data row7 col71\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col72\" class=\"data row7 col72\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col73\" class=\"data row7 col73\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col74\" class=\"data row7 col74\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col75\" class=\"data row7 col75\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col76\" class=\"data row7 col76\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col77\" class=\"data row7 col77\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col78\" class=\"data row7 col78\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col79\" class=\"data row7 col79\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col80\" class=\"data row7 col80\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col81\" class=\"data row7 col81\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col82\" class=\"data row7 col82\" >0.85</td>\n",
       "      <td id=\"T_6e882_row7_col83\" class=\"data row7 col83\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col84\" class=\"data row7 col84\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col85\" class=\"data row7 col85\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col86\" class=\"data row7 col86\" >0.51</td>\n",
       "      <td id=\"T_6e882_row7_col87\" class=\"data row7 col87\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col88\" class=\"data row7 col88\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col89\" class=\"data row7 col89\" >0.59</td>\n",
       "      <td id=\"T_6e882_row7_col90\" class=\"data row7 col90\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col91\" class=\"data row7 col91\" >0.26</td>\n",
       "      <td id=\"T_6e882_row7_col92\" class=\"data row7 col92\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col93\" class=\"data row7 col93\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col94\" class=\"data row7 col94\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col95\" class=\"data row7 col95\" >0.29</td>\n",
       "      <td id=\"T_6e882_row7_col96\" class=\"data row7 col96\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col97\" class=\"data row7 col97\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col98\" class=\"data row7 col98\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row7_col99\" class=\"data row7 col99\" >0.60</td>\n",
       "      <td id=\"T_6e882_row7_col100\" class=\"data row7 col100\" >0.60</td>\n",
       "      <td id=\"T_6e882_row7_col101\" class=\"data row7 col101\" >-0.02</td>\n",
       "      <td id=\"T_6e882_row7_col102\" class=\"data row7 col102\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col103\" class=\"data row7 col103\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col104\" class=\"data row7 col104\" >0.91</td>\n",
       "      <td id=\"T_6e882_row7_col105\" class=\"data row7 col105\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col106\" class=\"data row7 col106\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col107\" class=\"data row7 col107\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col108\" class=\"data row7 col108\" >0.77</td>\n",
       "      <td id=\"T_6e882_row7_col109\" class=\"data row7 col109\" >0.68</td>\n",
       "      <td id=\"T_6e882_row7_col110\" class=\"data row7 col110\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col111\" class=\"data row7 col111\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col112\" class=\"data row7 col112\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col113\" class=\"data row7 col113\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col114\" class=\"data row7 col114\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col115\" class=\"data row7 col115\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col116\" class=\"data row7 col116\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col117\" class=\"data row7 col117\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col118\" class=\"data row7 col118\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col119\" class=\"data row7 col119\" >0.93</td>\n",
       "      <td id=\"T_6e882_row7_col120\" class=\"data row7 col120\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col121\" class=\"data row7 col121\" >0.76</td>\n",
       "      <td id=\"T_6e882_row7_col122\" class=\"data row7 col122\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col123\" class=\"data row7 col123\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col124\" class=\"data row7 col124\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col125\" class=\"data row7 col125\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col126\" class=\"data row7 col126\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col127\" class=\"data row7 col127\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col128\" class=\"data row7 col128\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col129\" class=\"data row7 col129\" >0.61</td>\n",
       "      <td id=\"T_6e882_row7_col130\" class=\"data row7 col130\" >0.22</td>\n",
       "      <td id=\"T_6e882_row7_col131\" class=\"data row7 col131\" >0.61</td>\n",
       "      <td id=\"T_6e882_row7_col132\" class=\"data row7 col132\" >0.90</td>\n",
       "      <td id=\"T_6e882_row7_col133\" class=\"data row7 col133\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col134\" class=\"data row7 col134\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col135\" class=\"data row7 col135\" >0.43</td>\n",
       "      <td id=\"T_6e882_row7_col136\" class=\"data row7 col136\" >0.13</td>\n",
       "      <td id=\"T_6e882_row7_col137\" class=\"data row7 col137\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col138\" class=\"data row7 col138\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col139\" class=\"data row7 col139\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col140\" class=\"data row7 col140\" >0.55</td>\n",
       "      <td id=\"T_6e882_row7_col141\" class=\"data row7 col141\" >0.36</td>\n",
       "      <td id=\"T_6e882_row7_col142\" class=\"data row7 col142\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col143\" class=\"data row7 col143\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col144\" class=\"data row7 col144\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col145\" class=\"data row7 col145\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col146\" class=\"data row7 col146\" >0.93</td>\n",
       "      <td id=\"T_6e882_row7_col147\" class=\"data row7 col147\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col148\" class=\"data row7 col148\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col149\" class=\"data row7 col149\" >0.64</td>\n",
       "      <td id=\"T_6e882_row7_col150\" class=\"data row7 col150\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col151\" class=\"data row7 col151\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col152\" class=\"data row7 col152\" >0.89</td>\n",
       "      <td id=\"T_6e882_row7_col153\" class=\"data row7 col153\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col154\" class=\"data row7 col154\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col155\" class=\"data row7 col155\" >0.80</td>\n",
       "      <td id=\"T_6e882_row7_col156\" class=\"data row7 col156\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col157\" class=\"data row7 col157\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col158\" class=\"data row7 col158\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col159\" class=\"data row7 col159\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col160\" class=\"data row7 col160\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col161\" class=\"data row7 col161\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col162\" class=\"data row7 col162\" >0.64</td>\n",
       "      <td id=\"T_6e882_row7_col163\" class=\"data row7 col163\" >0.28</td>\n",
       "      <td id=\"T_6e882_row7_col164\" class=\"data row7 col164\" >0.23</td>\n",
       "      <td id=\"T_6e882_row7_col165\" class=\"data row7 col165\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col166\" class=\"data row7 col166\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col167\" class=\"data row7 col167\" >0.14</td>\n",
       "      <td id=\"T_6e882_row7_col168\" class=\"data row7 col168\" >0.33</td>\n",
       "      <td id=\"T_6e882_row7_col169\" class=\"data row7 col169\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col170\" class=\"data row7 col170\" >0.36</td>\n",
       "      <td id=\"T_6e882_row7_col171\" class=\"data row7 col171\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col172\" class=\"data row7 col172\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col173\" class=\"data row7 col173\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col174\" class=\"data row7 col174\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col175\" class=\"data row7 col175\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col176\" class=\"data row7 col176\" >-0.18</td>\n",
       "      <td id=\"T_6e882_row7_col177\" class=\"data row7 col177\" >-0.24</td>\n",
       "      <td id=\"T_6e882_row7_col178\" class=\"data row7 col178\" >0.18</td>\n",
       "      <td id=\"T_6e882_row7_col179\" class=\"data row7 col179\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col180\" class=\"data row7 col180\" >0.09</td>\n",
       "      <td id=\"T_6e882_row7_col181\" class=\"data row7 col181\" >0.21</td>\n",
       "      <td id=\"T_6e882_row7_col182\" class=\"data row7 col182\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col183\" class=\"data row7 col183\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col184\" class=\"data row7 col184\" >0.93</td>\n",
       "      <td id=\"T_6e882_row7_col185\" class=\"data row7 col185\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col186\" class=\"data row7 col186\" >0.76</td>\n",
       "      <td id=\"T_6e882_row7_col187\" class=\"data row7 col187\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col188\" class=\"data row7 col188\" >0.81</td>\n",
       "      <td id=\"T_6e882_row7_col189\" class=\"data row7 col189\" >0.87</td>\n",
       "      <td id=\"T_6e882_row7_col190\" class=\"data row7 col190\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col191\" class=\"data row7 col191\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col192\" class=\"data row7 col192\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col193\" class=\"data row7 col193\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col194\" class=\"data row7 col194\" >0.82</td>\n",
       "      <td id=\"T_6e882_row7_col195\" class=\"data row7 col195\" >0.74</td>\n",
       "      <td id=\"T_6e882_row7_col196\" class=\"data row7 col196\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col197\" class=\"data row7 col197\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col198\" class=\"data row7 col198\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col199\" class=\"data row7 col199\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col200\" class=\"data row7 col200\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col201\" class=\"data row7 col201\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col202\" class=\"data row7 col202\" >0.26</td>\n",
       "      <td id=\"T_6e882_row7_col203\" class=\"data row7 col203\" >0.70</td>\n",
       "      <td id=\"T_6e882_row7_col204\" class=\"data row7 col204\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row7_col205\" class=\"data row7 col205\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col206\" class=\"data row7 col206\" >0.15</td>\n",
       "      <td id=\"T_6e882_row7_col207\" class=\"data row7 col207\" >0.21</td>\n",
       "      <td id=\"T_6e882_row7_col208\" class=\"data row7 col208\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col209\" class=\"data row7 col209\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col210\" class=\"data row7 col210\" >0.71</td>\n",
       "      <td id=\"T_6e882_row7_col211\" class=\"data row7 col211\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col212\" class=\"data row7 col212\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col213\" class=\"data row7 col213\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col214\" class=\"data row7 col214\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col215\" class=\"data row7 col215\" >0.26</td>\n",
       "      <td id=\"T_6e882_row7_col216\" class=\"data row7 col216\" >0.70</td>\n",
       "      <td id=\"T_6e882_row7_col217\" class=\"data row7 col217\" >-0.12</td>\n",
       "      <td id=\"T_6e882_row7_col218\" class=\"data row7 col218\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col219\" class=\"data row7 col219\" >0.15</td>\n",
       "      <td id=\"T_6e882_row7_col220\" class=\"data row7 col220\" >0.21</td>\n",
       "      <td id=\"T_6e882_row7_col221\" class=\"data row7 col221\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col222\" class=\"data row7 col222\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col223\" class=\"data row7 col223\" >0.71</td>\n",
       "      <td id=\"T_6e882_row7_col224\" class=\"data row7 col224\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col225\" class=\"data row7 col225\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col226\" class=\"data row7 col226\" >0.28</td>\n",
       "      <td id=\"T_6e882_row7_col227\" class=\"data row7 col227\" >0.87</td>\n",
       "      <td id=\"T_6e882_row7_col228\" class=\"data row7 col228\" >0.64</td>\n",
       "      <td id=\"T_6e882_row7_col229\" class=\"data row7 col229\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col230\" class=\"data row7 col230\" >0.18</td>\n",
       "      <td id=\"T_6e882_row7_col231\" class=\"data row7 col231\" >0.28</td>\n",
       "      <td id=\"T_6e882_row7_col232\" class=\"data row7 col232\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col233\" class=\"data row7 col233\" >0.30</td>\n",
       "      <td id=\"T_6e882_row7_col234\" class=\"data row7 col234\" >0.91</td>\n",
       "      <td id=\"T_6e882_row7_col235\" class=\"data row7 col235\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col236\" class=\"data row7 col236\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col237\" class=\"data row7 col237\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col238\" class=\"data row7 col238\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col239\" class=\"data row7 col239\" >0.41</td>\n",
       "      <td id=\"T_6e882_row7_col240\" class=\"data row7 col240\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col241\" class=\"data row7 col241\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col242\" class=\"data row7 col242\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col243\" class=\"data row7 col243\" >0.80</td>\n",
       "      <td id=\"T_6e882_row7_col244\" class=\"data row7 col244\" >0.41</td>\n",
       "      <td id=\"T_6e882_row7_col245\" class=\"data row7 col245\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col246\" class=\"data row7 col246\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col247\" class=\"data row7 col247\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col248\" class=\"data row7 col248\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col249\" class=\"data row7 col249\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col250\" class=\"data row7 col250\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col251\" class=\"data row7 col251\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col252\" class=\"data row7 col252\" >0.07</td>\n",
       "      <td id=\"T_6e882_row7_col253\" class=\"data row7 col253\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col254\" class=\"data row7 col254\" >0.08</td>\n",
       "      <td id=\"T_6e882_row7_col255\" class=\"data row7 col255\" >0.43</td>\n",
       "      <td id=\"T_6e882_row7_col256\" class=\"data row7 col256\" >0.52</td>\n",
       "      <td id=\"T_6e882_row7_col257\" class=\"data row7 col257\" >0.07</td>\n",
       "      <td id=\"T_6e882_row7_col258\" class=\"data row7 col258\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row7_col259\" class=\"data row7 col259\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row7_col260\" class=\"data row7 col260\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col261\" class=\"data row7 col261\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col262\" class=\"data row7 col262\" >0.58</td>\n",
       "      <td id=\"T_6e882_row7_col263\" class=\"data row7 col263\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col264\" class=\"data row7 col264\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col265\" class=\"data row7 col265\" >0.42</td>\n",
       "      <td id=\"T_6e882_row7_col266\" class=\"data row7 col266\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col267\" class=\"data row7 col267\" >0.43</td>\n",
       "      <td id=\"T_6e882_row7_col268\" class=\"data row7 col268\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col269\" class=\"data row7 col269\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col270\" class=\"data row7 col270\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col271\" class=\"data row7 col271\" >0.60</td>\n",
       "      <td id=\"T_6e882_row7_col272\" class=\"data row7 col272\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col273\" class=\"data row7 col273\" >0.61</td>\n",
       "      <td id=\"T_6e882_row7_col274\" class=\"data row7 col274\" >0.55</td>\n",
       "      <td id=\"T_6e882_row7_col275\" class=\"data row7 col275\" >0.73</td>\n",
       "      <td id=\"T_6e882_row7_col276\" class=\"data row7 col276\" >0.87</td>\n",
       "      <td id=\"T_6e882_row7_col277\" class=\"data row7 col277\" >0.73</td>\n",
       "      <td id=\"T_6e882_row7_col278\" class=\"data row7 col278\" >0.62</td>\n",
       "      <td id=\"T_6e882_row7_col279\" class=\"data row7 col279\" >0.43</td>\n",
       "      <td id=\"T_6e882_row7_col280\" class=\"data row7 col280\" >0.58</td>\n",
       "      <td id=\"T_6e882_row7_col281\" class=\"data row7 col281\" >0.08</td>\n",
       "      <td id=\"T_6e882_row7_col282\" class=\"data row7 col282\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col283\" class=\"data row7 col283\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col284\" class=\"data row7 col284\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col285\" class=\"data row7 col285\" >0.87</td>\n",
       "      <td id=\"T_6e882_row7_col286\" class=\"data row7 col286\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col287\" class=\"data row7 col287\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col288\" class=\"data row7 col288\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col289\" class=\"data row7 col289\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col290\" class=\"data row7 col290\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col291\" class=\"data row7 col291\" >0.40</td>\n",
       "      <td id=\"T_6e882_row7_col292\" class=\"data row7 col292\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col293\" class=\"data row7 col293\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col294\" class=\"data row7 col294\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col295\" class=\"data row7 col295\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col296\" class=\"data row7 col296\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col297\" class=\"data row7 col297\" >0.95</td>\n",
       "      <td id=\"T_6e882_row7_col298\" class=\"data row7 col298\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col299\" class=\"data row7 col299\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col300\" class=\"data row7 col300\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col301\" class=\"data row7 col301\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col302\" class=\"data row7 col302\" >0.24</td>\n",
       "      <td id=\"T_6e882_row7_col303\" class=\"data row7 col303\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row7_col304\" class=\"data row7 col304\" >0.57</td>\n",
       "      <td id=\"T_6e882_row7_col305\" class=\"data row7 col305\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col306\" class=\"data row7 col306\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col307\" class=\"data row7 col307\" >0.59</td>\n",
       "      <td id=\"T_6e882_row7_col308\" class=\"data row7 col308\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col309\" class=\"data row7 col309\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col310\" class=\"data row7 col310\" >0.09</td>\n",
       "      <td id=\"T_6e882_row7_col311\" class=\"data row7 col311\" >0.46</td>\n",
       "      <td id=\"T_6e882_row7_col312\" class=\"data row7 col312\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col313\" class=\"data row7 col313\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col314\" class=\"data row7 col314\" >0.08</td>\n",
       "      <td id=\"T_6e882_row7_col315\" class=\"data row7 col315\" >0.57</td>\n",
       "      <td id=\"T_6e882_row7_col316\" class=\"data row7 col316\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col317\" class=\"data row7 col317\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col318\" class=\"data row7 col318\" >0.67</td>\n",
       "      <td id=\"T_6e882_row7_col319\" class=\"data row7 col319\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col320\" class=\"data row7 col320\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col321\" class=\"data row7 col321\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col322\" class=\"data row7 col322\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col323\" class=\"data row7 col323\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col324\" class=\"data row7 col324\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col325\" class=\"data row7 col325\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col326\" class=\"data row7 col326\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col327\" class=\"data row7 col327\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col328\" class=\"data row7 col328\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col329\" class=\"data row7 col329\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col330\" class=\"data row7 col330\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col331\" class=\"data row7 col331\" >0.04</td>\n",
       "      <td id=\"T_6e882_row7_col332\" class=\"data row7 col332\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row7_col333\" class=\"data row7 col333\" >-0.34</td>\n",
       "      <td id=\"T_6e882_row7_col334\" class=\"data row7 col334\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row7_col335\" class=\"data row7 col335\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row7_col336\" class=\"data row7 col336\" >-0.15</td>\n",
       "      <td id=\"T_6e882_row7_col337\" class=\"data row7 col337\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col338\" class=\"data row7 col338\" >0.07</td>\n",
       "      <td id=\"T_6e882_row7_col339\" class=\"data row7 col339\" >-0.31</td>\n",
       "      <td id=\"T_6e882_row7_col340\" class=\"data row7 col340\" >-0.40</td>\n",
       "      <td id=\"T_6e882_row7_col341\" class=\"data row7 col341\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row7_col342\" class=\"data row7 col342\" >0.11</td>\n",
       "      <td id=\"T_6e882_row7_col343\" class=\"data row7 col343\" >-0.41</td>\n",
       "      <td id=\"T_6e882_row7_col344\" class=\"data row7 col344\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col345\" class=\"data row7 col345\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col346\" class=\"data row7 col346\" >0.14</td>\n",
       "      <td id=\"T_6e882_row7_col347\" class=\"data row7 col347\" >0.45</td>\n",
       "      <td id=\"T_6e882_row7_col348\" class=\"data row7 col348\" >0.95</td>\n",
       "      <td id=\"T_6e882_row7_col349\" class=\"data row7 col349\" >0.07</td>\n",
       "      <td id=\"T_6e882_row7_col350\" class=\"data row7 col350\" >0.70</td>\n",
       "      <td id=\"T_6e882_row7_col351\" class=\"data row7 col351\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col352\" class=\"data row7 col352\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col353\" class=\"data row7 col353\" >0.37</td>\n",
       "      <td id=\"T_6e882_row7_col354\" class=\"data row7 col354\" >0.70</td>\n",
       "      <td id=\"T_6e882_row7_col355\" class=\"data row7 col355\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col356\" class=\"data row7 col356\" >0.41</td>\n",
       "      <td id=\"T_6e882_row7_col357\" class=\"data row7 col357\" >0.81</td>\n",
       "      <td id=\"T_6e882_row7_col358\" class=\"data row7 col358\" >0.24</td>\n",
       "      <td id=\"T_6e882_row7_col359\" class=\"data row7 col359\" >0.61</td>\n",
       "      <td id=\"T_6e882_row7_col360\" class=\"data row7 col360\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col361\" class=\"data row7 col361\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col362\" class=\"data row7 col362\" >-0.38</td>\n",
       "      <td id=\"T_6e882_row7_col363\" class=\"data row7 col363\" >0.75</td>\n",
       "      <td id=\"T_6e882_row7_col364\" class=\"data row7 col364\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col365\" class=\"data row7 col365\" >0.14</td>\n",
       "      <td id=\"T_6e882_row7_col366\" class=\"data row7 col366\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col367\" class=\"data row7 col367\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col368\" class=\"data row7 col368\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col369\" class=\"data row7 col369\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col370\" class=\"data row7 col370\" >0.96</td>\n",
       "      <td id=\"T_6e882_row7_col371\" class=\"data row7 col371\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col372\" class=\"data row7 col372\" >0.87</td>\n",
       "      <td id=\"T_6e882_row7_col373\" class=\"data row7 col373\" >0.68</td>\n",
       "      <td id=\"T_6e882_row7_col374\" class=\"data row7 col374\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col375\" class=\"data row7 col375\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col376\" class=\"data row7 col376\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col377\" class=\"data row7 col377\" >0.86</td>\n",
       "      <td id=\"T_6e882_row7_col378\" class=\"data row7 col378\" >0.74</td>\n",
       "      <td id=\"T_6e882_row7_col379\" class=\"data row7 col379\" >0.51</td>\n",
       "      <td id=\"T_6e882_row7_col380\" class=\"data row7 col380\" >0.25</td>\n",
       "      <td id=\"T_6e882_row7_col381\" class=\"data row7 col381\" >0.22</td>\n",
       "      <td id=\"T_6e882_row7_col382\" class=\"data row7 col382\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row7_col383\" class=\"data row7 col383\" >0.47</td>\n",
       "      <td id=\"T_6e882_row7_col384\" class=\"data row7 col384\" >0.95</td>\n",
       "      <td id=\"T_6e882_row7_col385\" class=\"data row7 col385\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col386\" class=\"data row7 col386\" >0.55</td>\n",
       "      <td id=\"T_6e882_row7_col387\" class=\"data row7 col387\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row7_col388\" class=\"data row7 col388\" >-0.47</td>\n",
       "      <td id=\"T_6e882_row7_col389\" class=\"data row7 col389\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row7_col390\" class=\"data row7 col390\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col391\" class=\"data row7 col391\" >0.17</td>\n",
       "      <td id=\"T_6e882_row7_col392\" class=\"data row7 col392\" >-0.05</td>\n",
       "      <td id=\"T_6e882_row7_col393\" class=\"data row7 col393\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col394\" class=\"data row7 col394\" >0.69</td>\n",
       "      <td id=\"T_6e882_row7_col395\" class=\"data row7 col395\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col396\" class=\"data row7 col396\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col397\" class=\"data row7 col397\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col398\" class=\"data row7 col398\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col399\" class=\"data row7 col399\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col400\" class=\"data row7 col400\" >0.67</td>\n",
       "      <td id=\"T_6e882_row7_col401\" class=\"data row7 col401\" >0.06</td>\n",
       "      <td id=\"T_6e882_row7_col402\" class=\"data row7 col402\" >0.52</td>\n",
       "      <td id=\"T_6e882_row7_col403\" class=\"data row7 col403\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col404\" class=\"data row7 col404\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col405\" class=\"data row7 col405\" >0.93</td>\n",
       "      <td id=\"T_6e882_row7_col406\" class=\"data row7 col406\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row7_col407\" class=\"data row7 col407\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col408\" class=\"data row7 col408\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col409\" class=\"data row7 col409\" >-0.03</td>\n",
       "      <td id=\"T_6e882_row7_col410\" class=\"data row7 col410\" >0.11</td>\n",
       "      <td id=\"T_6e882_row7_col411\" class=\"data row7 col411\" >-0.11</td>\n",
       "      <td id=\"T_6e882_row7_col412\" class=\"data row7 col412\" >-0.33</td>\n",
       "      <td id=\"T_6e882_row7_col413\" class=\"data row7 col413\" >-0.51</td>\n",
       "      <td id=\"T_6e882_row7_col414\" class=\"data row7 col414\" >-0.13</td>\n",
       "      <td id=\"T_6e882_row7_col415\" class=\"data row7 col415\" >-0.04</td>\n",
       "      <td id=\"T_6e882_row7_col416\" class=\"data row7 col416\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row7_col417\" class=\"data row7 col417\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col418\" class=\"data row7 col418\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row7_col419\" class=\"data row7 col419\" >-0.44</td>\n",
       "      <td id=\"T_6e882_row7_col420\" class=\"data row7 col420\" >-0.07</td>\n",
       "      <td id=\"T_6e882_row7_col421\" class=\"data row7 col421\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col422\" class=\"data row7 col422\" >-0.43</td>\n",
       "      <td id=\"T_6e882_row7_col423\" class=\"data row7 col423\" >0.46</td>\n",
       "      <td id=\"T_6e882_row7_col424\" class=\"data row7 col424\" >0.40</td>\n",
       "      <td id=\"T_6e882_row7_col425\" class=\"data row7 col425\" >0.68</td>\n",
       "      <td id=\"T_6e882_row7_col426\" class=\"data row7 col426\" >0.47</td>\n",
       "      <td id=\"T_6e882_row7_col427\" class=\"data row7 col427\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col428\" class=\"data row7 col428\" >0.42</td>\n",
       "      <td id=\"T_6e882_row7_col429\" class=\"data row7 col429\" >0.55</td>\n",
       "      <td id=\"T_6e882_row7_col430\" class=\"data row7 col430\" >0.37</td>\n",
       "      <td id=\"T_6e882_row7_col431\" class=\"data row7 col431\" >0.63</td>\n",
       "      <td id=\"T_6e882_row7_col432\" class=\"data row7 col432\" >0.72</td>\n",
       "      <td id=\"T_6e882_row7_col433\" class=\"data row7 col433\" >0.60</td>\n",
       "      <td id=\"T_6e882_row7_col434\" class=\"data row7 col434\" >0.41</td>\n",
       "      <td id=\"T_6e882_row7_col435\" class=\"data row7 col435\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col436\" class=\"data row7 col436\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col437\" class=\"data row7 col437\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col438\" class=\"data row7 col438\" >0.28</td>\n",
       "      <td id=\"T_6e882_row7_col439\" class=\"data row7 col439\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col440\" class=\"data row7 col440\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col441\" class=\"data row7 col441\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col442\" class=\"data row7 col442\" >0.48</td>\n",
       "      <td id=\"T_6e882_row7_col443\" class=\"data row7 col443\" >0.42</td>\n",
       "      <td id=\"T_6e882_row7_col444\" class=\"data row7 col444\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col445\" class=\"data row7 col445\" >0.90</td>\n",
       "      <td id=\"T_6e882_row7_col446\" class=\"data row7 col446\" >0.91</td>\n",
       "      <td id=\"T_6e882_row7_col447\" class=\"data row7 col447\" >0.89</td>\n",
       "      <td id=\"T_6e882_row7_col448\" class=\"data row7 col448\" >0.53</td>\n",
       "      <td id=\"T_6e882_row7_col449\" class=\"data row7 col449\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col450\" class=\"data row7 col450\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col451\" class=\"data row7 col451\" >0.78</td>\n",
       "      <td id=\"T_6e882_row7_col452\" class=\"data row7 col452\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col453\" class=\"data row7 col453\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col454\" class=\"data row7 col454\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col455\" class=\"data row7 col455\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col456\" class=\"data row7 col456\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col457\" class=\"data row7 col457\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col458\" class=\"data row7 col458\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col459\" class=\"data row7 col459\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col460\" class=\"data row7 col460\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col461\" class=\"data row7 col461\" >-0.18</td>\n",
       "      <td id=\"T_6e882_row7_col462\" class=\"data row7 col462\" >-0.00</td>\n",
       "      <td id=\"T_6e882_row7_col463\" class=\"data row7 col463\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row7_col464\" class=\"data row7 col464\" >0.54</td>\n",
       "      <td id=\"T_6e882_row7_col465\" class=\"data row7 col465\" >-0.09</td>\n",
       "      <td id=\"T_6e882_row7_col466\" class=\"data row7 col466\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col467\" class=\"data row7 col467\" >0.32</td>\n",
       "      <td id=\"T_6e882_row7_col468\" class=\"data row7 col468\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col469\" class=\"data row7 col469\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row7_col470\" class=\"data row7 col470\" >0.24</td>\n",
       "      <td id=\"T_6e882_row7_col471\" class=\"data row7 col471\" >0.25</td>\n",
       "      <td id=\"T_6e882_row7_col472\" class=\"data row7 col472\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col473\" class=\"data row7 col473\" >-0.08</td>\n",
       "      <td id=\"T_6e882_row7_col474\" class=\"data row7 col474\" >0.16</td>\n",
       "      <td id=\"T_6e882_row7_col475\" class=\"data row7 col475\" >-0.06</td>\n",
       "      <td id=\"T_6e882_row7_col476\" class=\"data row7 col476\" >-0.25</td>\n",
       "      <td id=\"T_6e882_row7_col477\" class=\"data row7 col477\" >-0.49</td>\n",
       "      <td id=\"T_6e882_row7_col478\" class=\"data row7 col478\" >-0.42</td>\n",
       "      <td id=\"T_6e882_row7_col479\" class=\"data row7 col479\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row7_col480\" class=\"data row7 col480\" >0.27</td>\n",
       "      <td id=\"T_6e882_row7_col481\" class=\"data row7 col481\" >0.40</td>\n",
       "      <td id=\"T_6e882_row7_col482\" class=\"data row7 col482\" >-0.10</td>\n",
       "      <td id=\"T_6e882_row7_col483\" class=\"data row7 col483\" >-0.22</td>\n",
       "      <td id=\"T_6e882_row7_col484\" class=\"data row7 col484\" >-0.46</td>\n",
       "      <td id=\"T_6e882_row7_col485\" class=\"data row7 col485\" >0.50</td>\n",
       "      <td id=\"T_6e882_row7_col486\" class=\"data row7 col486\" >0.13</td>\n",
       "      <td id=\"T_6e882_row7_col487\" class=\"data row7 col487\" >-0.45</td>\n",
       "      <td id=\"T_6e882_row7_col488\" class=\"data row7 col488\" >0.05</td>\n",
       "      <td id=\"T_6e882_row7_col489\" class=\"data row7 col489\" >0.24</td>\n",
       "      <td id=\"T_6e882_row7_col490\" class=\"data row7 col490\" >0.11</td>\n",
       "      <td id=\"T_6e882_row7_col491\" class=\"data row7 col491\" >0.12</td>\n",
       "      <td id=\"T_6e882_row7_col492\" class=\"data row7 col492\" >0.26</td>\n",
       "      <td id=\"T_6e882_row7_col493\" class=\"data row7 col493\" >0.10</td>\n",
       "      <td id=\"T_6e882_row7_col494\" class=\"data row7 col494\" >0.64</td>\n",
       "      <td id=\"T_6e882_row7_col495\" class=\"data row7 col495\" >0.51</td>\n",
       "      <td id=\"T_6e882_row7_col496\" class=\"data row7 col496\" >0.03</td>\n",
       "      <td id=\"T_6e882_row7_col497\" class=\"data row7 col497\" >0.38</td>\n",
       "      <td id=\"T_6e882_row7_col498\" class=\"data row7 col498\" >0.19</td>\n",
       "      <td id=\"T_6e882_row7_col499\" class=\"data row7 col499\" >0.34</td>\n",
       "      <td id=\"T_6e882_row7_col500\" class=\"data row7 col500\" >0.04</td>\n",
       "      <td id=\"T_6e882_row7_col501\" class=\"data row7 col501\" >0.14</td>\n",
       "      <td id=\"T_6e882_row7_col502\" class=\"data row7 col502\" >0.56</td>\n",
       "      <td id=\"T_6e882_row7_col503\" class=\"data row7 col503\" >0.31</td>\n",
       "      <td id=\"T_6e882_row7_col504\" class=\"data row7 col504\" >0.61</td>\n",
       "      <td id=\"T_6e882_row7_col505\" class=\"data row7 col505\" >0.13</td>\n",
       "      <td id=\"T_6e882_row7_col506\" class=\"data row7 col506\" >0.39</td>\n",
       "      <td id=\"T_6e882_row7_col507\" class=\"data row7 col507\" >0.56</td>\n",
       "      <td id=\"T_6e882_row7_col508\" class=\"data row7 col508\" >0.06</td>\n",
       "      <td id=\"T_6e882_row7_col509\" class=\"data row7 col509\" >0.53</td>\n",
       "      <td id=\"T_6e882_row7_col510\" class=\"data row7 col510\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col511\" class=\"data row7 col511\" >0.79</td>\n",
       "      <td id=\"T_6e882_row7_col512\" class=\"data row7 col512\" >0.92</td>\n",
       "      <td id=\"T_6e882_row7_col513\" class=\"data row7 col513\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col514\" class=\"data row7 col514\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col515\" class=\"data row7 col515\" >0.84</td>\n",
       "      <td id=\"T_6e882_row7_col516\" class=\"data row7 col516\" >0.89</td>\n",
       "      <td id=\"T_6e882_row7_col517\" class=\"data row7 col517\" >0.94</td>\n",
       "      <td id=\"T_6e882_row7_col518\" class=\"data row7 col518\" >0.69</td>\n",
       "      <td id=\"T_6e882_row7_col519\" class=\"data row7 col519\" >0.69</td>\n",
       "      <td id=\"T_6e882_row7_col520\" class=\"data row7 col520\" >0.84</td>\n",
       "      <td id=\"T_6e882_row7_col521\" class=\"data row7 col521\" >0.74</td>\n",
       "      <td id=\"T_6e882_row7_col522\" class=\"data row7 col522\" >0.44</td>\n",
       "      <td id=\"T_6e882_row7_col523\" class=\"data row7 col523\" >0.85</td>\n",
       "      <td id=\"T_6e882_row7_col524\" class=\"data row7 col524\" >0.71</td>\n",
       "      <td id=\"T_6e882_row7_col525\" class=\"data row7 col525\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col526\" class=\"data row7 col526\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col527\" class=\"data row7 col527\" >0.95</td>\n",
       "      <td id=\"T_6e882_row7_col528\" class=\"data row7 col528\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col529\" class=\"data row7 col529\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col530\" class=\"data row7 col530\" >0.49</td>\n",
       "      <td id=\"T_6e882_row7_col531\" class=\"data row7 col531\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col532\" class=\"data row7 col532\" >0.02</td>\n",
       "      <td id=\"T_6e882_row7_col533\" class=\"data row7 col533\" >0.20</td>\n",
       "      <td id=\"T_6e882_row7_col534\" class=\"data row7 col534\" >0.74</td>\n",
       "      <td id=\"T_6e882_row7_col535\" class=\"data row7 col535\" >0.33</td>\n",
       "      <td id=\"T_6e882_row7_col536\" class=\"data row7 col536\" >0.88</td>\n",
       "      <td id=\"T_6e882_row7_col537\" class=\"data row7 col537\" >0.13</td>\n",
       "      <td id=\"T_6e882_row7_col538\" class=\"data row7 col538\" >0.98</td>\n",
       "      <td id=\"T_6e882_row7_col539\" class=\"data row7 col539\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col540\" class=\"data row7 col540\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col541\" class=\"data row7 col541\" >0.23</td>\n",
       "      <td id=\"T_6e882_row7_col542\" class=\"data row7 col542\" >0.29</td>\n",
       "      <td id=\"T_6e882_row7_col543\" class=\"data row7 col543\" >0.39</td>\n",
       "      <td id=\"T_6e882_row7_col544\" class=\"data row7 col544\" >0.38</td>\n",
       "      <td id=\"T_6e882_row7_col545\" class=\"data row7 col545\" >0.56</td>\n",
       "      <td id=\"T_6e882_row7_col546\" class=\"data row7 col546\" >0.23</td>\n",
       "      <td id=\"T_6e882_row7_col547\" class=\"data row7 col547\" >-0.28</td>\n",
       "      <td id=\"T_6e882_row7_col548\" class=\"data row7 col548\" >0.39</td>\n",
       "      <td id=\"T_6e882_row7_col549\" class=\"data row7 col549\" >0.84</td>\n",
       "      <td id=\"T_6e882_row7_col550\" class=\"data row7 col550\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col551\" class=\"data row7 col551\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col552\" class=\"data row7 col552\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col553\" class=\"data row7 col553\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col554\" class=\"data row7 col554\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col555\" class=\"data row7 col555\" >0.99</td>\n",
       "      <td id=\"T_6e882_row7_col556\" class=\"data row7 col556\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col557\" class=\"data row7 col557\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col558\" class=\"data row7 col558\" >0.83</td>\n",
       "      <td id=\"T_6e882_row7_col559\" class=\"data row7 col559\" >1.00</td>\n",
       "      <td id=\"T_6e882_row7_col560\" class=\"data row7 col560\" >0.97</td>\n",
       "      <td id=\"T_6e882_row7_col561\" class=\"data row7 col561\" >24.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1fa77f20550>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().style.format('{:.2f}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "81a69815-80a8-4627-9a55-6a6ba9bf3173",
   "metadata": {},
   "outputs": [],
   "source": [
    "Labels = data['Activity']\n",
    "\n",
    "data = data.drop(columns=['Activity'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbb71097-f0ad-410c-a162-7f0249f651aa",
   "metadata": {},
   "source": [
    "Normalization of data features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "01cb91bc-199b-43d7-b51c-03b8dbbb6566",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22c584c3-c02b-438c-b2f9-77e792fd5b31",
   "metadata": {},
   "source": [
    "To determine the optimal number of clusters based on the distance of each data point to the nearest cluster center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "23ca012d-9d14-4c04-9894-57f8b9c67f6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wdXXFxIkTUVpaajLm8OHDuPfee2FnZ4eAgADEx8dfl2fdunUIDQ2FnZ0dwsLCsGnTJpPtQgjMmTMHvr6+sLe3R1RUFE6ePGnGn4j1iAmvOwX486FclFRywjoREVk/SUvVggULsGjRInz88cfIyMjAggULEB8fj48++shk3EMPPYTc3FzjbdWqVSbbY2NjcezYMSQkJGDjxo3YtWsXnn76aeN2nU6HIUOGICgoCGlpaXjnnXfw2muvYcmSJcYxe/fuRUxMDCZOnIiDBw9ixIgRGDFiBI4ePWocEx8fj4ULF2Lx4sVITk6Go6MjoqOjUVlZ2UQ/oZarb5Abgr2cUFGjx0+HLkkdh4iIqOkJCQ0bNkxMmDDB5LGRI0eK2NhY4/1x48aJ4cOH33Qfx48fFwBEamqq8bHNmzcLmUwmLl68KIQQ4tNPPxVubm6iqqrKOGbmzJmic+fOxvujR48Ww4YNM9l3eHi4eOaZZ4QQQhgMBuHj4yPeeecd4/bi4mKhUqnEqlWrbpitsrJSaLVa4y0nJ0cAEFqt9qbvx5p8vuu0CJq5UQxbuEvqKERERI2m1Wob9Pkt6ZGqyMhIJCYm4sSJEwCAQ4cOYffu3Rg6dKjJuB07dsDLywudO3fGc889h4KCAuO2pKQkuLq6om/fvsbHoqKiIJfLkZycbBwzcOBAKJVK45jo6GhkZWWhqKjIOCYqKsrkdaOjo5GUlAQAyM7OhkajMRnj4uKC8PBw45g/mzdvHlxcXIy3gICA2/4ZtWQje7eFUiHH0Ys6HLmglToOERFRk5K0VL3yyit4/PHHERoaCltbW/Tq1QtTpkxBbGysccxDDz2Er7/+GomJiViwYAF27tyJoUOHQq/XAwA0Gg28vLxM9mtjYwN3d3doNBrjGG9vb5Mx9fdvNeba7dc+70Zj/mzWrFnQarXGW05OTsN/OFbA3VGJ6O4+AIBVqZywTkRE1s1Gyhdfu3Ytvv32W6xcuRLdunVDeno6pkyZAj8/P4wbNw4A8PjjjxvHh4WF4a677kLHjh2xY8cODB48WKroDaJSqaBSqaSOIamYfgH4+dAl/JR+Ca8+3AWOKkn/lyMiImoykh6pmjFjhvFoVVhYGMaOHYupU6di3rx5N31Ohw4d4OHhgVOnTgEAfHx8kJ+fbzKmtrYWhYWF8PHxMY7Jy8szGVN//1Zjrt1+7fNuNIaud3eHNmjXxgGlVbX45XCu1HGIiIiajKSlqry8HHK5aQSFQgGDwXDT51y4cAEFBQXw9a1bBykiIgLFxcVIS0szjtm2bRsMBgPCw8ONY3bt2oWamj++2p+QkIDOnTvDzc3NOCYxMdHktRISEhAREQEAaN++PXx8fEzG6HQ6JCcnG8fQ9eRyGcb0q1teYSXXrCIiImvWTBPnb2jcuHHC399fbNy4UWRnZ4v169cLDw8P8fLLLwshhCgpKREvvfSSSEpKEtnZ2eK3334TvXv3Fp06dRKVlZXG/Tz00EOiV69eIjk5WezevVt06tRJxMTEGLcXFxcLb29vMXbsWHH06FGxevVq4eDgID777DPjmD179ggbGxvx7rvvioyMDDF37lxha2srjhw5Yhwzf/584erqKn788Udx+PBhMXz4cNG+fXtRUVHRoPfb0G8PWJt8XaXoOOsXETRzo8jIbV3vnYiIWr6Gfn5LWqp0Op2YPHmyCAwMFHZ2dqJDhw7i1VdfNS59UF5eLoYMGSI8PT2Fra2tCAoKEk899ZTQaDQm+ykoKBAxMTHCyclJqNVq8eSTT4qSkhKTMYcOHRL33HOPUKlUwt/fX8yfP/+6PGvXrhUhISFCqVSKbt26iV9++cVku8FgELNnzxbe3t5CpVKJwYMHi6ysrAa/39ZaqoQQ4tlv9ougmRvF3B+PSh2FiIjotjT081smBK9421x0Oh1cXFyg1WqhVquljtOsdp64jHFfpUBtZ4OUV6NgZ6uQOhIREVGDNPTzm9f+o2Zxb7AH/F3toausxaYjnLBORETWh6WKmoVcLsPj/eoWP12d0rrW6yIiotaBpYqazai+AZDLgJSzhTiVXyJ1HCIiIrNiqaJm4+NihwdC61a/59EqIiKyNixV1Kxi+tetWfX9gQuoqtVLnIaIiMh8WKqoWQ0K8YSP2g5F5TXYcizv1k8gIiJqIViqqFnZKOQY3bctAGA1V1gnIiIrwlJFzW50vwDIZMDe0wU4e6VM6jhERERmwVJFza6tmwMGdvIEAKxO5YR1IiKyDixVJImY/nVrVn2XdgE1+ptfQJuIiKilYKkiSQzu4g0PJxWulFYhMYMT1omIqOVjqSJJ2CrkGHV1wvpKrllFRERWgKWKJFN/2ZrfT15GTmG5xGmIiIjuDEsVSSaojSMGBLeBEMC6/TxaRURELRtLFUnq8X51K6yv2Z+DWk5YJyKiFoyliiQ1pJs33Bxskaerwo6sy1LHISIiajSWKpKUykaBf/S5usJ6KldYJyKilouliiQ35uopwG2Z+cjVVkichoiIqHFYqkhywV5O6N/OHQYBrNt/Qeo4REREjcJSRRYhJrxueYU1qTnQG4TEaYiIiG4fSxVZhKHdfaG2s8HF4gr8fpIT1omIqOVhqSKLYGerwMjeVyesc4V1IiJqgViqyGI8fvUiy79l5CG/pFLiNERERLeHpYosRqiPGr0CXVFrEPgujRPWiYioZWGpIosSU7/CemoODJywTkRELQhLFVmUv/XwhZPKBucKyrHvTIHUcYiIiBqMpYosioPSBsN7+gEAVqZwhXUiImo5WKrI4sT0rzsFuPVYHgrLqiVOQ0RE1DAsVWRxuvu7IMzfBdV6A9Yf4IR1IiJqGViqyCLVL6+wMuU8hOCEdSIisnwsVWSRHu3hB3tbBc5cLkPq2SKp4xAREd0SSxVZJGc7Wzzao27C+mpOWCciohaApYosVv0pwF+O5EJbXiNxGiIior/GUkUWq2eAK0J9nFFVa8CGg5ywTkRElo2liiyWTCYzLq+wOjWHE9aJiMiisVSRRRvR0x8qGzkyNSU4mFMsdRwiIqKbYqkii+biYIthYb4AgGV7zvJoFRERWSyWKrJ4sXcHAQB+OnQJc386Bj0vtExERBaIpYosXp8gN7z2SFfIZMDXSefwwsoDqKzRSx2LiIjIBEsVtQjjB7THRzG9oFTIsfmoBuO+SoG2gsssEBGR5WCpohbjb3f5YdmEfnBS2SA5uxBjPkuCRlspdSwiIiIALFXUwkR29MCaZ+6Gp7MKmZoSPLZoL07ll0gdi4iIiKWKWp5ufi5Y/1wkOng44mJxBf6xOAlp53h9QCIikhZLFbVIAe4O+O65SPQMcEVxeQ1iv9iH347nSR2LiIhaMZYqarHcHZVY+VQ47u/sicoaA55ZkYY1qbz4MhERScOmsU/cv38/1q5di/Pnz6O6utpk2/r16+84GFFDOChtsOSJvpi1/gi+S7uAmd8fQb6uCi88EAyZTCZ1PCIiakUadaRq9erViIyMREZGBjZs2ICamhocO3YM27Ztg4uLi7kzEv0lW4Uc7/zjLrxwfzAA4L2EE/jvD0e5SCgRETWrRpWqt99+G//73//w888/Q6lU4sMPP0RmZiZGjx6NwMBAc2ckuiWZTIaXojvjjeHdIJMB3yafx/PfpnGRUCIiajaNKlWnT5/GsGHDAABKpRJlZWWQyWSYOnUqlixZYtaARLfjiYh2+OSfvaFUyLHlWB6e+DIF2nIuEkpERE2vUaXKzc0NJSV1awP5+/vj6NGjAIDi4mKUl5ebLx1RIzwc5ovlE/rDWWWDlLOFGPXZXuRqK6SORUREVq5RpWrgwIFISEgAAIwaNQqTJ0/GU089hZiYGAwePNisAYkaI6JjG6x9NgLeahVO5JVi5Kd7cTKPi4QSEVHTkQkhbns2b2FhISorK+Hn5weDwYD4+Hjs3bsXnTp1wn//+1+4ubk1RdYWT6fTwcXFBVqtFmq1Wuo4rcKFonKM+yoFpy+XwcXeFl+O64u+7dyljkVERC1IQz+/G1WqqHFYqqRRVFaNCctTcfB8MVQ2cnwU0wtDuvlIHYuIiFqIhn5+N/j0n06nM/nzX92ILImboxIrJ92NwaFeqKo14NkVaViZzEVCiYjIvBp8pEqhUCA3NxdeXl6Qy+U3XFhRCAGZTAa9nl9jvxEeqZJWrd6AVzccxZr9OQCAKVGdMHlwJy4SSkREf6mhn98NXlF927ZtcHevm4uyffv2O09I1MxsFHLMfywM3moVFm47hQ9+O4n8kiq8Obw7FHIWKyIiujMNLlWDBg0y/rl9+/YICAi47jd8IQRycnLMl47IzGQyGaYN6QxPtR3m/HgUK5PP40pJFRbG9IKdrULqeERE1II1akmF9u3b4/Lly9c9XlhYiPbt2zd4P3q9HrNnz0b79u1hb2+Pjh074s0338S1ZySFEJgzZw58fX1hb2+PqKgonDx58rrXjY2NhVqthqurKyZOnIjS0lKTMYcPH8a9994LOzs7BAQEID4+/ro869atQ2hoKOzs7BAWFoZNmzaZbG9IFmoZxt4dhEWxvaG0kWPr8Tz864tkFJdX3/qJREREN9GoUlU/d+rPSktLYWdn1+D9LFiwAIsWLcLHH3+MjIwMLFiwAPHx8fjoo4+MY+Lj47Fw4UIsXrwYycnJcHR0RHR0NCorK41jYmNjcezYMSQkJGDjxo3YtWsXnn76aeN2nU6HIUOGICgoCGlpaXjnnXfw2muvmaz+vnfvXsTExGDixIk4ePAgRowYgREjRhgXNm1oFmo5HuruixUTw6G2s8H+c0UYtTgJl4q5SCgRETXObS2pMG3aNADAhx9+iKeeegoODg7GbXq9HsnJyVAoFNizZ0+D9ve3v/0N3t7e+PLLL42PPfbYY7C3t8eKFSsghICfnx+mT5+Ol156CQCg1Wrh7e2NZcuW4fHHH0dGRga6du2K1NRU9O3bFwDw66+/4uGHH8aFCxfg5+eHRYsW4dVXX4VGo4FSqQQAvPLKK/jhhx+QmZkJABgzZgzKysqwceNGY5a7774bPXv2xOLFixuU5VY4Ud0yZWlKMO6rFGh0lfBR2+Hrif0R4u0sdSwiIrIQZl9SAQAOHjyIgwcPQgiBI0eOGO8fPHgQmZmZ6NGjB5YtW9bg/UVGRiIxMREnTpwAABw6dAi7d+/G0KFDAQDZ2dnQaDSIiooyPsfFxQXh4eFISkoCACQlJcHV1dVYqAAgKioKcrkcycnJxjEDBw40FioAiI6ORlZWFoqKioxjrn2d+jH1r9OQLH9WVVXF5SZagM4+zvj++UgEezlBo6vEPxbtRUp2odSxiIiohWnwRHXgj2/9Pfnkk1i4cCGcne/st/lXXnkFOp0OoaGhUCgU0Ov1eOuttxAbGwsA0Gg0AABvb2+T53l7exu3aTQaeHl5mWy3sbGBu7u7yZg/z/Wq36dGo4Gbmxs0Gs0tX+dWWf5s3rx5eP311xvwkyCp+bva47tnIzBx+X6knSvCv75MxsLHe+Gh7lwklIiIGua251TV1NTgm2++wblz5+74xdeuXYtvv/0WK1euxIEDB7B8+XK8++67WL58+R3v2xLMmjULWq3WeOM3Iy2bq4MS304KR1QXb1TXGvD8t2lYse/O/z8nIqLW4bZLla2tLQIDA82ywOeMGTPwyiuv4PHHH0dYWBjGjh2LqVOnYt68eQAAH5+6owR5eXkmz8vLyzNu8/HxQX5+vsn22tpaFBYWmoy50T6ufY2bjbl2+62y/JlKpYJarTa5kWWzs1Vg8b96I6Z/IAwC+O8PR/F+wgnwak5ERHQrjfr236uvvor//Oc/KCy8s3kn5eXlkMtNIygUChgMBgB1Szf4+PggMTHRuF2n0yE5ORkREREAgIiICBQXFyMtLc04Ztu2bTAYDAgPDzeO2bVrF2pqaoxjEhIS0LlzZ+PFnyMiIkxep35M/es0JAtZBxuFHG//vTsmD+4EAFiYeBKz1h9Brd4gcTIiIrJoohF69uwpnJychEqlEiEhIaJXr14mt4YaN26c8Pf3Fxs3bhTZ2dli/fr1wsPDQ7z88svGMfPnzxeurq7ixx9/FIcPHxbDhw8X7du3FxUVFcYxDz30kOjVq5dITk4Wu3fvFp06dRIxMTHG7cXFxcLb21uMHTtWHD16VKxevVo4ODiIzz77zDhmz549wsbGRrz77rsiIyNDzJ07V9ja2oojR47cVpa/otVqBQCh1Wob/DMiaa3Yd1a0f2WjCJq5UUxcliLKq2qljkRERM2soZ/ft7WkQr1bTb6eO3dug/ZTUlKC2bNnY8OGDcjPz4efnx9iYmIwZ84c4zf1hBCYO3culixZguLiYtxzzz349NNPERISYtxPYWEhXnjhBfz888+Qy+V47LHHsHDhQjg5ORnHHD58GHFxcUhNTYWHhwf+/e9/Y+bMmSZ51q1bh//+9784e/YsOnXqhPj4eDz88MPG7Q3J8le4pELLtOWYBi+uOoiqWgN6B7riy3H94OaovPUTiYjIKjT087tRpYoah6Wq5Uo9W4iJy1Khq6xFsJcTlk/oD39Xe6ljERFRM2iSdaquVVxcjC+++AKzZs0yzq06cOAALl682NhdElmsfu3c8d1zkfB1scOp/FKM/HQPMjVcd4yIiP7QqFJ1+PBhhISEYMGCBXj33XdRXFwMAFi/fj1mzZplznxEFiPE2xnrn49EiLcT8nRVGLU4CclnCqSORUREFqJRpWratGkYP348Tp48aXKtv4cffhi7du0yWzgiS+PrYo91z0SiXzs3lFTWYuxXKdh8JFfqWEREZAEaVapSU1PxzDPPXPe4v7//TVcXJ7IWLg62+GZiOKK7XV0kdOUBfJN0VupYREQksUaVKpVKdcPr2J04cQKenp53HIrI0tnZKvBpbB/EhgdCCGD2j8fw7pYsLhJKRNSKNapUPfroo3jjjTeMi2nKZDKcP38eM2fOxGOPPWbWgESWSiGX4f9GdMe0B+uW1Ph4+ynM/P4wFwklImqlGlWq3nvvPZSWlsLLywsVFRUYNGgQgoOD4ezsjLfeesvcGYkslkwmw4uDO2H+yDDIZcDa/RfwzDdpqKi+88s4ERFRy3JH61Tt3r0bhw8fRmlpKXr37o2oqChzZrM6XKfKuiUcz8MLKw+gqtaAXlcXCXXnIqFERC0eF/+0QCxV1i/tXCEmLt+P4vIadPB0xPIn+yPA3UHqWEREdAeavFQlJiYiMTER+fn5xgsg1/vqq68as0urx1LVOpzKL8ETX6bgkrYSXs4qLJ/QH118+d+biKilatIV1V9//XUMGTIEiYmJuHLlCoqKikxuRK1ZsJcz1j8/AJ29nZFfUoXRi5OQdJqLhBIRWbtGHany9fVFfHw8xo4d2xSZrBaPVLUu2ooaPPX1fqRkF0KpkON/Y3pi2F2+UsciIqLb1KRHqqqrqxEZGdnocEStgYu9Lb6e0B9Du/ugWm/AC6sOYNmebKljERFRE2lUqZo0aRJWrlxp7ixEVsfOVoGP/9kbY+8OghDAaz8fR/yvmVwklIjICtk05kmVlZVYsmQJfvvtN9x1112wtbU12f7++++bJRyRNVDIZXhjeDd4q1V4d+sJfLrjNPJLqjBvZBhsFY36vYaIiCxQo0rV4cOH0bNnTwDA0aNHzZmHyCrJZDK88EAneDnbYdaGI/gu7QKulFbh09jecFA26q8hERFZGK5T1Yw4UZ0AYFtmHp7/9gAqawzoEeCKpeO5SCgRkSVrknWqRo4cecsxMpkM33//fUN32aqwVFG9A+eLMGFZat0ioR6OWD6Bi4QSEVmqJvn2n4uLyy1vLAtEt9Y70A3fPRsJf1d7nLlShpGL9uLYJa3UsYiI6A7w9F8z4pEq+rM8XSXGfZWCTE0JAKCNoxK+rnbwc7GHn6s9/F3t6+5f/bOnkwpyuUzi1ERErQuv/WeBWKroRnSVNXhx1UHsyLp8y7G2Chl8XOzg61JXsvyuFq76EubnagdnO9tb7oeIiBqOpcoCsVTRXykur8al4krkaitwqbgCF4srcam47s+52kpodJXQG27919XZzqbuCJfL1cLlWl/A6h7zcbHjUg5ERLehoZ/f/C43kYVwdVDC1UGJrn43/gtbqzcgv6TqauGqK1r1pau+gGkralBSWYtMTYnxlOKfyWSAt7Md/Fzt4FtfuK4pYH6u9nBzsIVMxtOMRES3g6WKqIWwUciNpafvTcaUVdUiV2t6lOtS/Z+1FcgtrkS13gCNru7IF84X33A/drbyP45wuZjO66o/4mVnq2iy90pE1BKxVBFZEUeVDYK9nBHs5XzD7QaDQEFZ9TVHuCquO+V4pbQKlTUGnLlchjOXy276Wm0clcZ5XH+e1+Xvag8PTqonolaGpYqoFZHLZfB0VsHTWYUeAa43HFNZo4dGW4lL2muOcl1zyvFiUQUqavQoKKtGQVk1jly88VIQ9ZPq/a5Oqg9s44B/9g+El9quCd8hEZF0OFG9GXGiOlkDIQS0FTUmR7kuFpsWsDxdJW40p97f1R7fTOyPDp5OzR+ciKiR+O0/C8RSRa1Frd6AvKuT6uvnda3dn4PsK2XwcFJi+YT+6ObnInVMIqIGYamyQCxV1JpdKa3CuK9ScOySDs4qG3z1ZD/0a+cudSwioltqksvUEBE1loeTCquevhv92rmhpKoWY79MxvasfKljERGZDUsVETUbtZ0tvp4Qjvs6e6KyxoCnlu/Hz4cuSR2LiMgsWKqIqFnZKxVYMrYvHunhh1qDwIurD2Jl8nmpYxER3TGWKiJqdkobOT4Y0xOx4YEQAvjPhiNYtOO01LGIiO4ISxURSUIhl+H/RnTH8/d1BAAs+DUT8zdngt+dIaKWiqWKiCQjk8nw8kOhmDU0FACweOdp/GfD0QZdOJqIyNKwVBGR5J4Z1BHzRoZBJgNWpZzHi6sPorrWIHUsIqLbwlJFRBYhpn8gPo7pDVuFDL8czsVTX+9HRbVe6lhERA3GUkVEFmPYXb74Ylw/2NnKsfPEZYz9MhnaihqpYxERNQhLFRFZlEEhnlgxMRzOdjbYf64IMUv24XJJldSxiIhuiaWKiCxO33buWPN0BDycVDieq8Poz5Jwoahc6lhERH+JpYqILFJXPzXWPRsBf1d7ZF8pw6jFSTiVXyp1LCKim2KpIiKL1d7DEd89F4FgLyfkaisx+rMkHLmglToWEdENsVQRkUXzdbHH2mciEObvgsKyasR8vg/7zhRIHYuI6DosVURk8dwdlVj5VDjC27ujtKoW475KQWJGntSxiIhMsFQRUYvgbGeL5RP6I6qLF6pqDXjmmzT8mH5R6lhEREYsVUTUYtjZKrDoX33w917+qDUITFmTjm+Szkodi4gIAEsVEbUwtgo53hvVA+MigiAEMPvHY/h420leiJmIJMdSRUQtjlwuw2uPdsOLgzsBAN7degJvb8pgsSIiSbFUEVGLJJPJMO3BEMz+W1cAwOe/Z2Pm94ehN7BYEZE0WKqIqEWbeE97xP/jLshlwNr9F/DCygOoquWFmImo+bFUEVGLN7pvAD6N7Q2lQo7NRzWYtHw/yqpqpY5FRK0MSxURWYWHuvviq/H94KBU4PeTV/CvL5OhLa+ROhYRtSIsVURkNe7p5IFvJ4XDxd4WB88XY8ySJOTrKqWORUStBEsVEVmVXoFuWPtMBLycVcjUlGDUZ0nIKSyXOhYRtQIsVURkdTr7OOO7ZyMR4G6PcwXl+MfivTiRVyJ1LCKycixVRGSVAts44LtnI9HZ2xl5uiqM/iwJ6TnFUsciIivGUkVEVstbbYc1z9yNngGuKC6vQezn+7D31BWpYxGRlWKpIiKr5uqgxLeTwjEguA3KqvUYvywVW49ppI5FRFZI0lLVrl07yGSy625xcXEAgPvuu++6bc8++6zJPs6fP49hw4bBwcEBXl5emDFjBmprTden2bFjB3r37g2VSoXg4GAsW7bsuiyffPIJ2rVrBzs7O4SHhyMlJcVke2VlJeLi4tCmTRs4OTnhscceQ15ennl/IETUJBxVNvhqfD9Ed/NGda0Bz317AN+nXZA6FhFZGUlLVWpqKnJzc423hIQEAMCoUaOMY5566imTMfHx8cZter0ew4YNQ3V1Nfbu3Yvly5dj2bJlmDNnjnFMdnY2hg0bhvvvvx/p6emYMmUKJk2ahC1bthjHrFmzBtOmTcPcuXNx4MAB9OjRA9HR0cjPzzeOmTp1Kn7++WesW7cOO3fuxKVLlzBy5Mim/PEQkRmpbBT45J+98Y8+baE3CExfdwhL92RLHYuIrImwIJMnTxYdO3YUBoNBCCHEoEGDxOTJk286ftOmTUIulwuNRmN8bNGiRUKtVouqqiohhBAvv/yy6Natm8nzxowZI6Kjo433+/fvL+Li4oz39Xq98PPzE/PmzRNCCFFcXCxsbW3FunXrjGMyMjIEAJGUlHTTfJWVlUKr1RpvOTk5AoDQarUN+GkQUVPQ6w3i9Z+OiaCZG0XQzI3ifwlZxn9ziIhuRKvVNujz22LmVFVXV2PFihWYMGECZDKZ8fFvv/0WHh4e6N69O2bNmoXy8j/Wm0lKSkJYWBi8vb2Nj0VHR0On0+HYsWPGMVFRUSavFR0djaSkJOPrpqWlmYyRy+WIiooyjklLS0NNTY3JmNDQUAQGBhrH3Mi8efPg4uJivAUEBDTmR0NEZiSXyzD7b10w7cEQAMAHv53E6z8fh4EXYiaiO2QjdYB6P/zwA4qLizF+/HjjY//85z8RFBQEPz8/HD58GDNnzkRWVhbWr18PANBoNCaFCoDxvkaj+csxOp0OFRUVKCoqgl6vv+GYzMxM4z6USiVcXV2vG1P/Ojcya9YsTJs2zXhfp9OxWBFZAJlMhhcHd4Lazgav/Xwcy/aeRUllLRY8FgYbhcX8rklELYzFlKovv/wSQ4cOhZ+fn/Gxp59+2vjnsLAw+Pr6YvDgwTh9+jQ6duwoRczbolKpoFKppI5BRDcxfkB7qO1tMeO7w/j+wAWUVNZgYUwv2NkqpI5GRC2QRfxKdu7cOfz222+YNGnSX44LDw8HAJw6dQoA4OPjc9038Orv+/j4/OUYtVoNe3t7eHh4QKFQ3HDMtfuorq5GcXHxTccQUcs0sndbLP5XHyht5Nh6PA8TlqWitKr21k8kIvoTiyhVS5cuhZeXF4YNG/aX49LT0wEAvr6+AICIiAgcOXLE5Ft6CQkJUKvV6Nq1q3FMYmKiyX4SEhIQEREBAFAqlejTp4/JGIPBgMTEROOYPn36wNbW1mRMVlYWzp8/bxxDRC3Xg129sezJfnBUKrD3dAFiP9+HorJqqWMRUUvTTBPnb0qv14vAwEAxc+ZMk8dPnTol3njjDbF//36RnZ0tfvzxR9GhQwcxcOBA45ja2lrRvXt3MWTIEJGeni5+/fVX4enpKWbNmmUcc+bMGeHg4CBmzJghMjIyxCeffCIUCoX49ddfjWNWr14tVCqVWLZsmTh+/Lh4+umnhaurq8m3Cp999lkRGBgotm3bJvbv3y8iIiJERETEbb3Xhn57gIikcSinSPR8fYsImrlRRL23Q+QWV0gdiYgsQEM/vyUvVVu2bBEARFZWlsnj58+fFwMHDhTu7u5CpVKJ4OBgMWPGjOve0NmzZ8XQoUOFvb298PDwENOnTxc1NTUmY7Zv3y569uwplEql6NChg1i6dOl1OT766CMRGBgolEql6N+/v9i3b5/J9oqKCvH8888LNzc34eDgIP7+97+L3Nzc23qvLFVElu+ERifC3/pNBM3cKAbMTxRnr5RKHYmIJNbQz2+ZEILfI24mOp0OLi4u0Gq1UKvVUschopvIKSzH2C+TcbagHJ7OKnwzsT9Cffh3lqi1aujnt0XMqSIisiQB7g5Y+2wEQn2ccbmkCmM+24cD54ukjkVEFo6liojoBryc7bDm6Qj0CXKDtqIGsZ8n4/eTl6WORUQWjKWKiOgmXBxs8c3E/ri3kwcqavSYsCwVm4/kSh2LiCwUSxUR0V9wUNrgi3F9MSzMFzV6gbiVB7A2NUfqWERkgViqiIhuQWWjwMKYXni8XwAMAnj5+8P44vczUsciIgvDUkVE1AAKuQzzRobhmYEdAAD/90sG3tuaBX6BmojqsVQRETWQTCbDK0NDMSO6MwDgo22nMPenYzAYWKyIiKWKiOi2yGQyxN0fjP8b0R0yGfB10jlMW5uOGr1B6mhEJDGWKiKiRvjX3UH4YExP2Mhl+CH9Ep79Jg2VNXqpYxGRhLiiejPiiupE1mdbZh6eW3EAVbUGBLo74IFQLwwI9kB4B3eo7WyljkdEZtDQz2+WqmbEUkVknVKyCzFpeSp0lbXGxxRyGXq0dcE9wR4YEOyBXoFuUNrw5ABRS8RSZYFYqoisl66yBntPFWDPqSvYc+oKzlwpM9lub6tA//buxpIV6uMMuVwmUVoiuh0sVRaIpYqo9bhYXGEsWHtOXcGV0mqT7W0clYgM9sA9wW0wINgDbd0cJEpKRLfCUmWBWKqIWichBLLySrD7ZF3BSs4uRHm16aT2dm0cMCDYA/cEeyCiYxu4OiglSktEf8ZSZYFYqogIAKprDUjPKcbuq0ex0nOKob9mrSuZDAjzdzGWrD5BbrCzVUiYmKh1Y6myQCxVRHQjJZU1SD5TiN2nrmDv6Ss4kVdqsl1lI0ffdm7GktXNzwUKzsciajYsVRaIpYqIGiJPV4m9p69g98kC7D51GXm6KpPtLva2iOzYxliygto4QCZjySJqKixVFoiliohulxACpy+XYc+pK9h96gr2nS5ASVWtyRh/V/u6bxV28kBkxzbwcFJJlJbIOrFUWSCWKiK6U7V6Aw5f1GLPybqSdeB8EWr0pv+Md/FVG79V2L+9OxyUNhKlJbIOLFUWiKWKiMytvLoWKdmFV49kFSAjV2ey3VYhQ69AN+P6WD3ausBGwUVIiW4HS5UFYqkioqZ2pbQKe08XGI9kXSyuMNnurLJBeIc2uCe4De7p5IGOnk6cj0V0CyxVFoilioiakxAC5wrKjd8q3HOqANqKGpMx3mqVccL7gGAPeKvtJEpLZLlYqiwQSxURSUlvEDh+SWdcHyvlbCGqaw0mYzp5ORlLVngHdzjzotBELFWWiKWKiCxJZY0eaeeKjCXryEUtrv1E4EWhieqwVFkglioismTF5dVIOl1gLFlnC8pNtqvtbDB9SGf86+4gLj5KrQpLlQViqSKiliSnsLxuEdJTBdh76goKyuouCn1XWxe8/fcwdPd3kTghUfNgqbJALFVE1FLpDQIrU84j/tdMlFTWQi4Dnohoh+lDQjjviqxeQz+/eXKciIhuSSGXYezdQUicPgiP9vCDQQDL9p5F1Ps7selILvj7ORFLFRER3QYvZzssjOmFbyb2R7s2DsjTVeH5bw/gyWWpOP+nOVhErQ1LFRER3bZ7O3ni1ykD8eLgTlAq5NiRdRkP/m8nPtl+6rplGohaC5YqIiJqFDtbBaY9GILNU+5FZMc2qKo14J0tWXh44e9IPlMgdTyiZsdSRUREd6SjpxO+nRSO/43pgTaOSpzKL8WYJfswY90hFF79xiBRa8BSRUREd0wmk+Hvvdpi2/T78M/wQADAurQLeOC9HVibmgODgRPZyfqxVBERkdm4ONji7b+H4fvnIhHq44zi8hq8/P1hPL5kH07klUgdj6hJsVQREZHZ9Qlyw8//vgevPtwF9rYKpJwtxMMf/o4Fv2aiolovdTyiJsFSRURETcJWIcdTAzvgt+mD8GBXb9QaBBbtOI0H/7cT2zPzpY5HZHYsVURE1KT8Xe3x+RN9sWRsH/i52OFCUQWeXJaK51akIVdbIXU8IrNhqSIiomYxpJsPEqYNwtMDO0Ahl2HzUQ2i3tuJr3Zno1bPta2o5WOpIiKiZuOossF/Hu6Cjf++B70DXVFWrccbG49j+Cd7kJ5TLHU8ojvCUkVERM2ui68a3z0bibf/Hga1nQ2OXdLh75/uwZwfj0JXWSN1PKJGYakiIiJJyOUy/DM8ENteug8je/lDCODrpHMY/N5O/HToEi/STC0OSxUREUnKw0mF98f0xMpJ4ejg4YjLJVV4cdVBPPFVCs5eKZM6HlGDsVQREZFFiAz2wOYp92LagyFQ2sjx+8krGPLBLixMPImqWq5tRZaPpYqIiCyGykaBFwd3wtYpA3FvJw9U1xrwfsIJDP3wd+w9fUXqeER/iaWKiIgsTjsPR3w9oT8WxvSCh5MKZy6X4Z+fJ2PamnRcKa2SOh7RDbFUERGRRZLJZHi0hx8Spw/C2LuDIJMB6w9exOD3dmJVynlepJksjkzw6xXNRqfTwcXFBVqtFmq1Wuo4REQtSnpOMf6z/giO5+oAAL0DXfHW38PQxZf/nlLTaujnN49UERFRi9AzwBU/vTAAs//WFY5KBQ6cL8bfPtqNtzdloLy6Vup4RCxVRETUctgo5Jh4T3v8Nn0Qhnb3gd4gsGTXGTz4/i4kHM+TOh61cixVRETU4vi62GPRv/rgq/F90dbNHheLK/DU1/vx1Nf7cbGYF2kmabBUERFRi/VAqDcSpg7Cc/d1hI1choTjeXjw/Z34fNcZ1PAizdTMWKqIiKhFs1cqMPOhUGyafC/6tXNDebUeb23KwCMf7caB80VSx6NWhKWKiIisQoi3M9Y8HYH4x+6Cq4MtMjUleGzRXvxnwxFoy3mRZmp6LFVERGQ15HIZRvcLwLbp9+EffdpCCGBl8nkMfn8HNhy8wIs0U5NiqSIiIqvj7qjEu6N6YPXTdyPYywlXSqsxdc0hxH6RjNOXS6WOR1aKpYqIiKzW3R3aYNOL92JGdGeobOTYe7oAQz/4He8nnEBlDS/STObFUkVERFZNaSNH3P3BSJg6CINCPFGtN2Bh4kk89MEu/H7ystTxyIpIWqratWsHmUx23S0uLg4AUFlZibi4OLRp0wZOTk547LHHkJdnurjb+fPnMWzYMDg4OMDLywszZsxAba3pyro7duxA7969oVKpEBwcjGXLll2X5ZNPPkG7du1gZ2eH8PBwpKSkmGxvSBYiIrJcgW0csOzJfvg0tje81SqcLSjH2C9T8OKqg8gvqZQ6HlkBSUtVamoqcnNzjbeEhAQAwKhRowAAU6dOxc8//4x169Zh586duHTpEkaOHGl8vl6vx7Bhw1BdXY29e/di+fLlWLZsGebMmWMck52djWHDhuH+++9Heno6pkyZgkmTJmHLli3GMWvWrMG0adMwd+5cHDhwAD169EB0dDTy8/ONY26VhYiILJ9MJsPDYb74bdogjI9sB7kM+OnQJQx+bye+2XcOel6kme6EsCCTJ08WHTt2FAaDQRQXFwtbW1uxbt064/aMjAwBQCQlJQkhhNi0aZOQy+VCo9EYxyxatEio1WpRVVUlhBDi5ZdfFt26dTN5nTFjxojo6Gjj/f79+4u4uDjjfb1eL/z8/MS8efOEEKJBWRpCq9UKAEKr1Tb4OURE1HQO5xSLRz76XQTN3CiCZm4Uvd/YKl5ed0j8dlwjKqprpY5HFqKhn98WM6equroaK1aswIQJEyCTyZCWloaamhpERUUZx4SGhiIwMBBJSUkAgKSkJISFhcHb29s4Jjo6GjqdDseOHTOOuXYf9WPq91FdXY20tDSTMXK5HFFRUcYxDclyI1VVVdDpdCY3IiKyHGFtXbDh+QF4/dFucHOwRUFZNdbsz8HE5fvR+80EPLciDRsOXuA6V9QgNlIHqPfDDz+guLgY48ePBwBoNBoolUq4urqajPP29oZGozGOubZQ1W+v3/ZXY3Q6HSoqKlBUVAS9Xn/DMZmZmQ3OciPz5s3D66+/fus3T0REklHIZRgX2Q7/DA9E6tlCbD2Wh63HNLikrcTmoxpsPqqBjVyGuzu0wZBu3niwqzd8Xeyljk0WyGJK1ZdffomhQ4fCz89P6ihmM2vWLEybNs14X6fTISAgQMJERER0M7YKOSI7eiCyowfmPtIVxy7psPWYBluP5yFTU4Ldp65g96krmPPjMdzV1gVDunpjSDcfdPJygkwmkzo+WQCLKFXnzp3Db7/9hvXr1xsf8/HxQXV1NYqLi02OEOXl5cHHx8c45s/f0qv/Rt61Y/78Lb28vDyo1WrY29tDoVBAoVDccMy1+7hVlhtRqVRQqVQN/CkQEZGlkMlk6O7vgu7+Lpg2pDPOFZTVHcE6rsH+c0U4fEGLwxe0eHfrCbT3cLxasLzRK8ANcjkLVmtlEXOqli5dCi8vLwwbNsz4WJ8+fWBra4vExETjY1lZWTh//jwiIiIAABEREThy5IjJt/QSEhKgVqvRtWtX45hr91E/pn4fSqUSffr0MRljMBiQmJhoHNOQLEREZL2C2jjiqYEdsO7ZSKS+GoUFj4VhcKgXlDZyZF8pw2e7zuCxRUno/3YiZq0/jO1Z+aiq5eKirY1MCGkvhGQwGNC+fXvExMRg/vz5Jtuee+45bNq0CcuWLYNarca///1vAMDevXsB1C2p0LNnT/j5+SE+Ph4ajQZjx47FpEmT8PbbbwOoW1Khe/fuiIuLw4QJE7Bt2za8+OKL+OWXXxAdHQ2gbkmFcePG4bPPPkP//v3xwQcfYO3atcjMzDTOtbpVlobQ6XRwcXGBVquFWq2+sx8cERFJrrSqFrtOXMbWYxokZuajpPKPdRIdlQrcF+qFIV29cX+oF9R2thImpTvR0M9vyUvV1q1bER0djaysLISEhJhsq6ysxPTp07Fq1SpUVVUhOjoan376qckpt3PnzuG5557Djh074OjoiHHjxmH+/PmwsfnjzOaOHTswdepUHD9+HG3btsXs2bONE+Lrffzxx3jnnXeg0WjQs2dPLFy4EOHh4beV5VZYqoiIrFeN3oDkM4XYelyDrcfyoNH9saCoraJuont0Nx882NUb3mo7CZPS7Woxpao1YakiImodDAaBIxe1xoJ1Mt/0Is49A1wxpJs3hnT1QbCXk0QpqaFYqiwQSxURUet05nIpth6vW6rhYE4xrv3k7eDpiOhuPhjS1Rs92rpyorsFYqmyQCxVRESUr6vEbxn52Hpcg72nClCtNxi3eTmr8ODVpRoiOrSB0sYivk/W6rFUWSCWKiIiulZJZQ12ZF3G1uN52J6Zj9KqPya6O6tscH+oF4Z088agEE84c6K7ZFiqLBBLFRER3UxVrR77zhRi6zENEo7nIb+kyrhNqZAjMrgNhnT1QVRXL3g5c6J7c2KpskAsVURE1BAGg0D6hWLjJXPOXCkzbpPJgN6BbsYV3dt7OEqYtHVgqbJALFVERNQYp/JLseXqJXMO5RSbbOvk5YQh3bwR3c0HYf4uvGROE2CpskAsVUREdKc02kokZNQdwUo6XYBawx8f474udnUT3bv6ILyDO2wVnOhuDixVFoilioiIzElbUYMdWfnYeiwPO7LyUVb9x6Vx1HY2eCDUC9HdfDAwxBOOKou43G+LxFJlgViqiIioqVTW6JF0ugBbj9dNdL9SWm3cprSR495gD0R19cb9nb3g48KJ7reDpcoCsVQREVFz0BsEDp4vwtbjedhyTINzBeUm27v6qnF/qCfu7+yFXoFuUHDB0b/EUmWBWKqIiKi5CSFwMr8UW45qsC0rH+l/WtHd1cEWAzt54v5QTwwK8YK7o1K6sBaKpcoCsVQREZHUCsuqsfNEPrZnXsbOE5ehragxbpPJ6q5L+EBnL9wf6oWuvmpeNgcsVRaJpYqIiCxJrd6A9JxibM/Kx7bMy8jI1Zls93RW4f7OdacJB3TygLqVrurOUmWBWKqIiMiSabSV2J6Vj+2Z+dh96grKr/k2oY1chn7t3I1zsYK9nFrNmlgsVRaIpYqIiFqKqlo9UrOL6kpWVj7OXC4z2d7WzR73d/bC/aGeiOjgAXulQqKkTY+lygKxVBERUUt19koZdmTlY1vWZew7U4DqWoNxm8pGjoiObfBAqBfu7+yFAHcHCZOaH0uVBWKpIiIia1BeXYuk0wXYlll3qvCSttJke0dPR2PB6tvOHUqblr2yO0uVBWKpIiIiayOEwIm8UuNcrP3niqC/5tI5Tiob3BPsgftDPXFfZy94q1vewqMsVRaIpYqIiKydtqIGu09ewbbMfOw8kW+ysjsAdPNTG+di9QxoGQuPslRZIJYqIiJqTQwGgaOXtHWnCbMu4/CF6xceHRTiiQdCvTCwkyfcLHThUZYqC8RSRURErdmV0irszLqM7Vn52HXiMnSVtcZt8vqFR0O9cF9nL3TzU1vMkg0sVRaIpYqIiKhOrd6AA+eLjXOxMjUlJtu9nFXG04QDgj3gLOHCoyxVFoilioiI6MYuFVdcLViXsefUFVTU/LHwqK3i6sKjV0tWR8/mXXiUpcoCsVQRERHdWmWNHinZhcajWGcLyk22B7jXLzzqhYgObWBn27QLj7JUWSCWKiIiotuXfaUM2zPrVnZPPlOIar3pwqORVxceva+JFh5lqbJALFVERER3pqyqFnuvLjy6IysfuX9aeHT6gyH49+BOZn3Nhn5+25j1VYmIiIiakKPKBg929caDXb0hhECmpgTbs/KxI/My0s4XoUeAq2TZeKSqGfFIFRERUdPRltfAXqkw+2VxeKSKiIiIWhUXB+mWXQCAln2FQyIiIiILwVJFREREZAYsVURERERmwFJFREREZAYsVURERERmwFJFREREZAYsVURERERmwFJFREREZAYsVURERERmwFJFREREZAYsVURERERmwFJFREREZAYsVURERERmYCN1gNZECAEA0Ol0EichIiKihqr/3K7/HL8ZlqpmVFJSAgAICAiQOAkRERHdrpKSEri4uNx0u0zcqnaR2RgMBly6dAnOzs6QyWRm269Op0NAQABycnKgVqvNtl9LYu3v0drfH2D975Hvr+Wz9vfI99d4QgiUlJTAz88PcvnNZ07xSFUzksvlaNu2bZPtX61WW+VflGtZ+3u09vcHWP975Ptr+az9PfL9Nc5fHaGqx4nqRERERGbAUkVERERkBixVVkClUmHu3LlQqVRSR2ky1v4erf39Adb/Hvn+Wj5rf498f02PE9WJiIiIzIBHqoiIiIjMgKWKiIiIyAxYqoiIiIjMgKWKiIiIyAxYqlqwefPmoV+/fnB2doaXlxdGjBiBrKwsqWOZzaJFi3DXXXcZF3KLiIjA5s2bpY7VZObPnw+ZTIYpU6ZIHcVsXnvtNchkMpNbaGio1LHM6uLFi/jXv/6FNm3awN7eHmFhYdi/f7/UscymXbt21/03lMlkiIuLkzqaWej1esyePRvt27eHvb09OnbsiDfffPOW13hrSUpKSjBlyhQEBQXB3t4ekZGRSE1NlTpWo+3atQuPPPII/Pz8IJPJ8MMPP5hsF0Jgzpw58PX1hb29PaKionDy5MlmycZS1YLt3LkTcXFx2LdvHxISElBTU4MhQ4agrKxM6mhm0bZtW8yfPx9paWnYv38/HnjgAQwfPhzHjh2TOprZpaam4rPPPsNdd90ldRSz69atG3Jzc4233bt3Sx3JbIqKijBgwADY2tpi8+bNOH78ON577z24ublJHc1sUlNTTf77JSQkAABGjRolcTLzWLBgARYtWoSPP/4YGRkZWLBgAeLj4/HRRx9JHc1sJk2ahISEBHzzzTc4cuQIhgwZgqioKFy8eFHqaI1SVlaGHj164JNPPrnh9vj4eCxcuBCLFy9GcnIyHB0dER0djcrKyqYPJ8hq5OfnCwBi586dUkdpMm5ubuKLL76QOoZZlZSUiE6dOomEhAQxaNAgMXnyZKkjmc3cuXNFjx49pI7RZGbOnCnuueceqWM0q8mTJ4uOHTsKg8EgdRSzGDZsmJgwYYLJYyNHjhSxsbESJTKv8vJyoVAoxMaNG00e7927t3j11VclSmU+AMSGDRuM9w0Gg/Dx8RHvvPOO8bHi4mKhUqnEqlWrmjwPj1RZEa1WCwBwd3eXOIn56fV6rF69GmVlZYiIiJA6jlnFxcVh2LBhiIqKkjpKkzh58iT8/PzQoUMHxMbG4vz581JHMpuffvoJffv2xahRo+Dl5YVevXrh888/lzpWk6mursaKFSswYcIEs14UXkqRkZFITEzEiRMnAACHDh3C7t27MXToUImTmUdtbS30ej3s7OxMHre3t7eqo8b1srOzodFoTP49dXFxQXh4OJKSkpr89XlBZSthMBgwZcoUDBgwAN27d5c6jtkcOXIEERERqKyshJOTEzZs2ICuXbtKHctsVq9ejQMHDrTo+Q1/JTw8HMuWLUPnzp2Rm5uL119/Hffeey+OHj0KZ2dnqePdsTNnzmDRokWYNm0a/vOf/yA1NRUvvvgilEolxo0bJ3U8s/vhhx9QXFyM8ePHSx3FbF555RXodDqEhoZCoVBAr9fjrbfeQmxsrNTRzMLZ2RkRERF488030aVLF3h7e2PVqlVISkpCcHCw1PHMTqPRAAC8vb1NHvf29jZua0osVVYiLi4OR48etbrfPDp37oz09HRotVp89913GDduHHbu3GkVxSonJweTJ09GQkLCdb9FWotrf9u/6667EB4ejqCgIKxduxYTJ06UMJl5GAwG9O3bF2+//TYAoFevXjh69CgWL15slaXqyy+/xNChQ+Hn5yd1FLNZu3Ytvv32W6xcuRLdunVDeno6pkyZAj8/P6v5b/jNN99gwoQJ8Pf3h0KhQO/evRETE4O0tDSpo1kdnv6zAi+88AI2btyI7du3o23btlLHMSulUong4GD06dMH8+bNQ48ePfDhhx9KHcss0tLSkJ+fj969e8PGxgY2NjbYuXMnFi5cCBsbG+j1eqkjmp2rqytCQkJw6tQpqaOYha+v73UFv0uXLlZ1irPeuXPn8Ntvv2HSpElSRzGrGTNm4JVXXsHjjz+OsLAwjB07FlOnTsW8efOkjmY2HTt2xM6dO1FaWoqcnBykpKSgpqYGHTp0kDqa2fn4+AAA8vLyTB7Py8szbmtKLFUtmBACL7zwAjZs2IBt27ahffv2UkdqcgaDAVVVVVLHMIvBgwfjyJEjSE9PN9769u2L2NhYpKenQ6FQSB3R7EpLS3H69Gn4+vpKHcUsBgwYcN0yJidOnEBQUJBEiZrO0qVL4eXlhWHDhkkdxazKy8shl5t+FCoUChgMBokSNR1HR0f4+vqiqKgIW7ZswfDhw6WOZHbt27eHj48PEhMTjY/pdDokJyc3y3xcnv5rweLi4rBy5Ur8+OOPcHZ2Np4vdnFxgb29vcTp7tysWbMwdOhQBAYGoqSkBCtXrsSOHTuwZcsWqaOZhbOz83Xz3xwdHdGmTRurmRf30ksv4ZFHHkFQUBAuXbqEuXPnQqFQICYmRupoZjF16lRERkbi7bffxujRo5GSkoIlS5ZgyZIlUkczK4PBgKVLl2LcuHGwsbGuj41HHnkEb731FgIDA9GtWzccPHgQ77//PiZMmCB1NLPZsmULhBDo3LkzTp06hRkzZiA0NBRPPvmk1NEapbS01ORod3Z2NtLT0+Hu7o7AwEBMmTIF//d//4dOnTqhffv2mD17Nvz8/DBixIimD9fk3y+kJgPghrelS5dKHc0sJkyYIIKCgoRSqRSenp5i8ODBYuvWrVLHalLWtqTCmDFjhK+vr1AqlcLf31+MGTNGnDp1SupYZvXzzz+L7t27C5VKJUJDQ8WSJUukjmR2W7ZsEQBEVlaW1FHMTqfTicmTJ4vAwEBhZ2cnOnToIF599VVRVVUldTSzWbNmjejQoYNQKpXCx8dHxMXFieLiYqljNdr27dtv+Nk3btw4IUTdsgqzZ88W3t7eQqVSicGDBzfb/7syIaxo2VgiIiIiiXBOFREREZEZsFQRERERmQFLFREREZEZsFQRERERmQFLFREREZEZsFQRERERmQFLFREREZEZsFQRERERmQFLFRFZhbNnz0ImkyE9PV3qKEaZmZm4++67YWdnh549e9728y3xPRHRzbFUEZFZjB8/HjKZDPPnzzd5/IcffoBMJpMolbTmzp0LR0dHZGVlmVzgVSrLli2Dq6ur1DGIrBZLFRGZjZ2dHRYsWICioiKpo5hNdXV1o597+vRp3HPPPQgKCkKbNm3MmEpaer0eBoNB6hhEFoeliojMJioqCj4+Ppg3b95Nx7z22mvXnQr74IMP0K5dO+P98ePHY8SIEXj77bfh7e0NV1dXvPHGG6itrcWMGTPg7u6Otm3bYunSpdftPzMzE5GRkbCzs0P37t2xc+dOk+1Hjx7F0KFD4eTkBG9vb4wdOxZXrlwxbr/vvvvwwgsvYMqUKfDw8EB0dPQN34fBYMAbb7yBtm3bQqVSoWfPnvj111+N22UyGdLS0vDGG29AJpPhtddeu+l+4uPjERwcDJVKhcDAQLz11ls3HHujI01/PhJ46NAh3H///XB2doZarUafPn2wf/9+7NixA08++SS0Wi1kMplJpqqqKrz00kvw9/eHo6MjwsPDsWPHjute96effkLXrl2hUqlw/vx57NixA/3794ejoyNcXV0xYMAAnDt37obZiVoDlioiMhuFQoG3334bH330ES5cuHBH+9q2bRsuXbqEXbt24f3338fcuXPxt7/9DW5ubkhOTsazzz6LZ5555rrXmTFjBqZPn46DBw8iIiICjzzyCAoKCgAAxcXFeOCBB9CrVy/s378fv/76K/Ly8jB69GiTfSxfvhxKpRJ79uzB4sWLb5jvww8/xHvvvYd3330Xhw8fRnR0NB599FGcPHkSAJCbm4tu3bph+vTpyM3NxUsvvXTD/cyaNQvz58/H7Nmzcfz4caxcuRLe3t6N/rnFxsaibdu2SE1NRVpaGl555RXY2toiMjISH3zwAdRqNXJzc00yvfDCC0hKSsLq1atx+PBhjBo1Cg899JDxvQBAeXk5FixYgC+++ALHjh2Du7s7RowYgUGDBuHw4cNISkrC008/3WpP9RIBAAQRkRmMGzdODB8+XAghxN133y0mTJgghBBiw4YN4tp/aubOnSt69Ohh8tz//e9/IigoyGRfQUFBQq/XGx/r3LmzuPfee433a2trhaOjo1i1apUQQojs7GwBQMyfP984pqamRrRt21YsWLBACCHEm2++KYYMGWLy2jk5OQKAyMrKEkIIMWjQINGrV69bvl8/Pz/x1ltvmTzWr18/8fzzzxvv9+jRQ8ydO/em+9DpdEKlUonPP//8htvr39PBgweFEEIsXbpUuLi4mIz588/X2dlZLFu27Ib7u9Hzz507JxQKhbh48aLJ44MHDxazZs0yPg+ASE9PN24vKCgQAMSOHTtu+v6IWhseqSIis1uwYAGWL1+OjIyMRu+jW7dukMv/+CfK29sbYWFhxvsKhQJt2rRBfn6+yfMiIiKMf7axsUHfvn2NOQ4dOoTt27fDycnJeAsNDQVQN/+pXp8+ff4ym06nw6VLlzBgwACTxwcMGHBb7zkjIwNVVVUYPHhwg59zK9OmTcOkSZMQFRWF+fPnm7yvGzly5Aj0ej1CQkJMfi47d+40ea5SqcRdd91lvO/u7o7x48cjOjoajzzyCD788EPk5uaa7X0QtUQsVURkdgMHDkR0dDRmzZp13Ta5XA4hhMljNTU1142ztbU1uS+TyW742O1MmC4tLcUjjzyC9PR0k9vJkycxcOBA4zhHR8cG7/NO2Nvb39b4hvzsXnvtNRw7dgzDhg3Dtm3b0LVrV2zYsOGm+ywtLYVCoUBaWprJzyQjIwMffvihSdY/n9pbunQpkpKSEBkZiTVr1iAkJAT79u27rfdEZE1YqoioScyfPx8///wzkpKSTB739PSERqMxKQfmXIfp2g/12tpapKWloUuXLgCA3r1749ixY2jXrh2Cg4NNbrdTpNRqNfz8/LBnzx6Tx/fs2YOuXbs2eD+dOnWCvb19g5db8PT0RElJCcrKyoyP3ehnFxISgqlTp2Lr1q0YOXKkcUK/UqmEXq83GdurVy/o9Xrk5+df9zPx8fG5ZaZevXph1qxZ2Lt3L7p3746VK1c26L0QWSOWKiJqEmFhYYiNjcXChQtNHr/vvvtw+fJlxMfH4/Tp0/jkk0+wefNms73uJ598gg0bNiAzMxNxcXEoKirChAkTAABxcXEoLCxETEwMUlNTcfr0aWzZsgVPPvnkdWXjVmbMmIEFCxZgzZo1yMrKwiuvvIL09HRMnjy5wfuws7PDzJkz8fLLL+Prr7/G6dOnsW/fPnz55Zc3HB8eHg4HBwf85z//wenTp7Fy5UosW7bMuL2iogIvvPACduzYgXPnzmHPnj1ITU01lsp27dqhtLQUiYmJuHLlCsrLyxESEoLY2Fg88cQTWL9+PbKzs5GSkoJ58+bhl19+uWn27OxszJo1C0lJSTh37hy2bt2KkydPGl+LqDViqSKiJvPGG29cd3quS5cu+PTTT/HJJ5+gR48eSElJuek34xpj/vz5mD9/Pnr06IHdu3fjp59+goeHBwAYjy7p9XoMGTIEYWFhmDJlClxdXU3mbzXEiy++iGnTpmH69OkICwvDr7/+ip9++gmdOnW6rf3Mnj0b06dPx5w5c9ClSxeMGTPmunli9dzd3bFixQps2rQJYWFhWLVqlclSDQqFAgUFBXjiiScQEhKC0aNHY+jQoXj99dcBAJGRkXj22WcxZswYeHp6Ij4+HkDdabwnnngC06dPR+fOnTFixAikpqYiMDDwprkdHByQmZmJxx57DCEhIXj66acRFxeHZ5555rbeP5E1kYk/n6AnIiIiotvGI1VEREREZsBSRURERGQGLFVEREREZsBSRURERGQGLFVEREREZsBSRURERGQGLFVEREREZsBSRURERGQGLFVEREREZsBSRURERGQGLFVEREREZvD/kwN/Wt39lmUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "num_clusters = [i for i in range(2, 11)]\n",
    "\n",
    "def kmeans_inertia(num_clusters, x_vals):\n",
    "    inertia = []\n",
    "    for num in num_clusters:\n",
    "        kms = KMeans(n_clusters=num)\n",
    "        kms.fit(x_vals)\n",
    "        inertia.append(kms.inertia_)\n",
    "    return inertia\n",
    "\n",
    "inertia = kmeans_inertia(num_clusters, X_scaled)\n",
    "\n",
    "plot = sns.lineplot(x=num_clusters, y=inertia)\n",
    "plot.set_xlabel(\"Number of clusters\")\n",
    "plot.set_ylabel(\"Inertia\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "791f710a-7c66-4457-9753-e7dd3dd3dc93",
   "metadata": {},
   "source": [
    "How close is each data point to the centroid of its own cluster, and how far is it from the centroids of other clusters?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6c2c05a7-5697-487b-b5aa-42d991c5ef22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.3913060431047856,\n",
       " 0.3036629820782968,\n",
       " 0.26416268323669406,\n",
       " 0.12737847511248854,\n",
       " 0.10276724791418672,\n",
       " 0.09788266505450863,\n",
       " 0.09675076453685073,\n",
       " 0.08998375518982943,\n",
       " 0.0761618390568354]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def kmeans_sil(num_clusters, x_vals):\n",
    "    \n",
    "  \n",
    "    sil_score = []\n",
    "    for num in num_clusters:\n",
    "        kms = KMeans(n_clusters=num)\n",
    "        kms.fit(x_vals)\n",
    "        sil_score.append(silhouette_score(x_vals, kms.labels_))\n",
    "    \n",
    "    return sil_score\n",
    "\n",
    "sil_score = kmeans_sil(num_clusters, X_scaled)\n",
    "sil_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5db0cc99-399f-453b-a732-61e9fb28c333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.lineplot(x=num_clusters, y=sil_score)\n",
    "plot.set_xlabel(\"# of clusters\");\n",
    "plot.set_ylabel(\"Silhouette Score\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4b91b0f8-9564-4e9d-b4b8-e54c236fe76f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-1 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-1 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-1 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-1 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-1 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-1 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KMeans(n_clusters=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;KMeans<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.cluster.KMeans.html\">?<span>Documentation for KMeans</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>KMeans(n_clusters=3)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "KMeans(n_clusters=3)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_means = KMeans(n_clusters=3)\n",
    "k_means.fit(X_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "dd65b03c-8f34-4571-8699-2e61cd1cb4b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clusters:  [2 2 2 ... 1 1 1]\n",
      "Inertia:  817247.6501792278\n"
     ]
    }
   ],
   "source": [
    "print('Clusters: ', k_means.labels_)\n",
    "print('Inertia: ', k_means.inertia_)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c615106d-021c-4cb6-8fce-c2d10fd09695",
   "metadata": {},
   "source": [
    "Calculate the mean of features for each cluster after applying clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "c9c9fcc2-78c6-493a-aba7-aa12f01f5da1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>552</th>\n",
       "      <th>553</th>\n",
       "      <th>554</th>\n",
       "      <th>555</th>\n",
       "      <th>556</th>\n",
       "      <th>557</th>\n",
       "      <th>558</th>\n",
       "      <th>559</th>\n",
       "      <th>560</th>\n",
       "      <th>561</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.123534</td>\n",
       "      <td>-0.028279</td>\n",
       "      <td>-0.025079</td>\n",
       "      <td>1.371515</td>\n",
       "      <td>1.303630</td>\n",
       "      <td>1.152679</td>\n",
       "      <td>1.373857</td>\n",
       "      <td>1.282631</td>\n",
       "      <td>1.128485</td>\n",
       "      <td>1.349182</td>\n",
       "      <td>...</td>\n",
       "      <td>0.451275</td>\n",
       "      <td>0.385508</td>\n",
       "      <td>-0.089458</td>\n",
       "      <td>0.029556</td>\n",
       "      <td>0.093217</td>\n",
       "      <td>-0.056495</td>\n",
       "      <td>-0.458250</td>\n",
       "      <td>0.472043</td>\n",
       "      <td>0.423959</td>\n",
       "      <td>-0.052168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.111185</td>\n",
       "      <td>-0.091441</td>\n",
       "      <td>-0.046200</td>\n",
       "      <td>0.722301</td>\n",
       "      <td>0.755042</td>\n",
       "      <td>0.848359</td>\n",
       "      <td>0.716571</td>\n",
       "      <td>0.766134</td>\n",
       "      <td>0.865335</td>\n",
       "      <td>0.717522</td>\n",
       "      <td>...</td>\n",
       "      <td>0.079940</td>\n",
       "      <td>0.091309</td>\n",
       "      <td>0.050041</td>\n",
       "      <td>-0.023876</td>\n",
       "      <td>-0.002671</td>\n",
       "      <td>-0.008578</td>\n",
       "      <td>-0.407938</td>\n",
       "      <td>0.472247</td>\n",
       "      <td>0.499056</td>\n",
       "      <td>-0.048332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.016716</td>\n",
       "      <td>0.060174</td>\n",
       "      <td>0.034260</td>\n",
       "      <td>-0.885738</td>\n",
       "      <td>-0.879398</td>\n",
       "      <td>-0.876530</td>\n",
       "      <td>-0.883438</td>\n",
       "      <td>-0.877964</td>\n",
       "      <td>-0.877176</td>\n",
       "      <td>-0.875139</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.205084</td>\n",
       "      <td>-0.187799</td>\n",
       "      <td>0.004581</td>\n",
       "      <td>0.002507</td>\n",
       "      <td>-0.031860</td>\n",
       "      <td>0.024892</td>\n",
       "      <td>0.387159</td>\n",
       "      <td>-0.427300</td>\n",
       "      <td>-0.424790</td>\n",
       "      <td>0.045110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>3 rows × 562 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        0         1         2         3         4         5         6    \\\n",
       "0  0.123534 -0.028279 -0.025079  1.371515  1.303630  1.152679  1.373857   \n",
       "1 -0.111185 -0.091441 -0.046200  0.722301  0.755042  0.848359  0.716571   \n",
       "2  0.016716  0.060174  0.034260 -0.885738 -0.879398 -0.876530 -0.883438   \n",
       "\n",
       "        7         8         9    ...       552       553       554       555  \\\n",
       "0  1.282631  1.128485  1.349182  ...  0.451275  0.385508 -0.089458  0.029556   \n",
       "1  0.766134  0.865335  0.717522  ...  0.079940  0.091309  0.050041 -0.023876   \n",
       "2 -0.877964 -0.877176 -0.875139  ... -0.205084 -0.187799  0.004581  0.002507   \n",
       "\n",
       "        556       557       558       559       560       561  \n",
       "0  0.093217 -0.056495 -0.458250  0.472043  0.423959 -0.052168  \n",
       "1 -0.002671 -0.008578 -0.407938  0.472247  0.499056 -0.048332  \n",
       "2 -0.031860  0.024892  0.387159 -0.427300 -0.424790  0.045110  \n",
       "\n",
       "[3 rows x 562 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clusters_mean = pd.DataFrame(X_scaled).groupby(k_means.labels_).mean()\n",
    "clusters_mean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5336b77-0525-4b71-a431-530425e84954",
   "metadata": {},
   "source": [
    "Which labels are included in each cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f7a82453-d6bf-4981-a3ad-a4e986430971",
   "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>orig_label</th>\n",
       "      <th>LAYING</th>\n",
       "      <th>SITTING</th>\n",
       "      <th>STANDING</th>\n",
       "      <th>WALKING</th>\n",
       "      <th>WALKING_DOWNSTAIRS</th>\n",
       "      <th>WALKING_UPSTAIRS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clust_label</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>212</td>\n",
       "      <td>282</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>284</td>\n",
       "      <td>138</td>\n",
       "      <td>412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>533</td>\n",
       "      <td>485</td>\n",
       "      <td>529</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "orig_label   LAYING  SITTING  STANDING  WALKING  WALKING_DOWNSTAIRS  \\\n",
       "clust_label                                                           \n",
       "0                 0        0         0      212                 282   \n",
       "1                 4        6         3      284                 138   \n",
       "2               533      485       529        0                   0   \n",
       "\n",
       "orig_label   WALKING_UPSTAIRS  \n",
       "clust_label                    \n",
       "0                          59  \n",
       "1                         412  \n",
       "2                           0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame({'clust_label': k_means.labels_, 'orig_label': Labels.tolist()})\n",
    "\n",
    "ct = pd.crosstab(df['clust_label'], df['orig_label'])\n",
    "ct"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d22572c-8441-41d5-95d2-19d80addd470",
   "metadata": {},
   "source": [
    " clustering visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "167d0b32-24ce-46b6-9db6-20e5d51bfe9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "pca = PCA(n_components=2)\n",
    "pca_result = pca.fit_transform(X_scaled)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.scatterplot(x=pca_result[:, 0], y=pca_result[:, 1], hue=k_means.labels_, palette=\"Set2\")\n",
    "plt.title('KMeans Clustering with PCA Reduction')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20e2354a-b2a7-40f2-bb54-8fe41353e4e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6f6cea9-949d-4f86-977d-115119345541",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5bfaa7e-4a03-46a9-a17b-df681dd0fca4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "03d5d60d-68da-4328-99de-3496f36a1411",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1b86c1c-33a7-4079-911e-c3c3d4e55d39",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d976062-dc7e-48fd-8be6-3057025e5d8e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b293521-da84-44d2-9b13-6705c73918e9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e5289ce-d1a2-483e-9f55-e9917abe48ac",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "88575f78-8d51-480f-8398-07520442b53c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7881832b-f2c7-4819-a4d1-0fe6584d1414",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3a216f88-c4c7-4b41-bbd2-87c67116170e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.1"
  }
 },
 "nbformat": 4,
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}