EDA+MachineLearning-Frequency.ipynb

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    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Plot-settings\" data-toc-modified-id=\"Plot-settings-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Plot settings</a></span></li><li><span><a href=\"#Feature-extraction-or-Engineering\" data-toc-modified-id=\"Feature-extraction-or-Engineering-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Feature extraction or Engineering</a></span></li><li><span><a href=\"#Machine-Learning-with-XGBoost\" data-toc-modified-id=\"Machine-Learning-with-XGBoost-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Machine Learning with XGBoost</a></span><ul class=\"toc-item\"><li><span><a href=\"#Feature-importance\" data-toc-modified-id=\"Feature-importance-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>Feature importance</a></span></li></ul></li></ul></div>"
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import h5py\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import scipy.stats as stats\n",
    "import matplotlib as mpl\n",
    "from scipy.signal import hilbert\n",
    "from sklearn.metrics import accuracy_score,f1_score,precision_score,recall_score\n",
    "from sklearn.model_selection import train_test_split,cross_val_score\n",
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['axes.labelsize'] = 20\n",
    "plt.rcParams['xtick.labelsize'] = 15\n",
    "plt.rcParams['ytick.labelsize'] = 15\n",
    "plt.rcParams['legend.fontsize'] = 20\n",
    "plt.rcParams['figure.titlesize'] = 26\n",
    "plt.rcParams['xtick.major.size'] = 10\n",
    "plt.rcParams['xtick.major.width'] = 1\n",
    "plt.rcParams['ytick.major.size'] = 10\n",
    "plt.rcParams['ytick.major.width'] = 1\n",
    "plt.rcParams['xtick.minor.width'] = 1\n",
    "plt.rcParams['ytick.minor.size'] = 5\n",
    "plt.rcParams['ytick.minor.width'] = 1\n",
    "plt.rcParams['xtick.minor.size'] = 5\n",
    "plt.rcParams['figure.figsize'] = 10,7\n",
    "mpl.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Expected BPFO first frequency 102.81206399999999 Hz\n",
      "Expected BPFO harmonic frequencies [ 102.812064  205.624128  308.436192  411.248256  514.06032   616.872384\n",
      "  719.684448  822.496512  925.308576 1028.12064  1130.932704 1233.744768\n",
      " 1336.556832 1439.368896 1542.18096  1644.993024 1747.805088 1850.617152\n",
      " 1953.429216 2056.24128 ] Hz\n"
     ]
    }
   ],
   "source": [
    "## Sample frequency\n",
    "f_sample = 12e3\n",
    "\n",
    "# Axis rotation frequency\n",
    "f_rotation = 28.68\n",
    "bpfo_multiplier = 3.5848\n",
    "f_bpfo = f_rotation * bpfo_multiplier\n",
    "f_bpfo_harmonics = f_bpfo*(1+np.arange(20))\n",
    "\n",
    "print(\"Expected BPFO first frequency \" + str(f_bpfo) + \" Hz\")\n",
    "print(\"Expected BPFO harmonic frequencies \" + str(f_bpfo_harmonics) + \" Hz\")\n",
    "\n",
    "hf = h5py.File(\"x_baseline.h5\", \"r\")\n",
    "x_baseline = np.array(hf.get(\"x_baseline\"))\n",
    "\n",
    "hf = h5py.File(\"x_fault.h5\", \"r\")\n",
    "x_fault = np.array(hf.get(\"x_fault\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature extraction or Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "# FFT calculation function\n",
    "def fft_amp(time, data):\n",
    "    x0 = np.hanning(len(data))\n",
    "    data = x0 * data\n",
    "    amp =(2/data.size)*np.fft.fft(data)\n",
    "    amp = 2 * abs(amp[range(int(len(data) / 2))])\n",
    "    freq = np.linspace(0, f_sample // 2, np.int(amp.size))\n",
    "    return freq, amp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "#  finding the nearest frequency values to BPFO harmonics\n",
    "def find_nearest(array, value):\n",
    "    array = np.asarray(array)\n",
    "    idx = (np.abs(array - value)).argmin()\n",
    "    return array[idx], idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function finds the nearest frequency values to BPFO harmonics\n",
    "def find_nearest(array, value):\n",
    "    array = np.asarray(array)\n",
    "    idx = (np.abs(array - value)).argmin()\n",
    "    return array[idx], idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finding the nearest indices of FFT to BPFO harmonics\n",
    "time = np.linspace(0, 1, int(f_sample))\n",
    "x = x_baseline[0, :]\n",
    "freq, amp = fft_amp(time, x)\n",
    "indices = []\n",
    "freqs_bpfo = []\n",
    "for j in range(0,len(f_bpfo_harmonics)):\n",
    "    a, b = find_nearest(freq, f_bpfo_harmonics[j])\n",
    "    indices.append(b)\n",
    "    freqs_bpfo.append(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Baseline feature extraction for BPFO harmonics\n",
    "\n",
    "features = np.zeros((x_baseline.shape[0] + x_fault.shape[0], 20))\n",
    "\n",
    "for j in range(x_baseline.shape[0]):\n",
    "    x = x_baseline[j, :]\n",
    "    freq, amp = fft_amp(t, x)\n",
    "    for i in range(len(f_bpfo_harmonics)):\n",
    "        features[j, i] = amp[indices[i]]\n",
    "\n",
    "# Fault feature extraction for BPFO harmonics\n",
    "for j in range(x_fault.shape[0]):\n",
    "    x = x_fault[j, :]\n",
    "    freq, amp = fft_amp(t, x)\n",
    "    for i in range(len(f_bpfo_harmonics)):\n",
    "        features[j + (x_baseline.shape[0]), i] = amp[indices[i]]\n",
    "\n",
    "# target vector 0 = Baseline , 1 = Faulty\n",
    "\n",
    "labels = np.hstack((np.zeros(x_baseline.shape[0]),np.ones(x_fault.shape[0])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Creating data frame for machine learning \n",
    "cols = [str(j+1) + 'XBPFO' for j in range(len(f_bpfo_harmonics))]\n",
    "df = pd.DataFrame(features, columns=Col_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
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       "            background-color:  #f7fbff;\n",
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       "            color:  #000000;\n",
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       "            background-color:  #d9e7f5;\n",
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       "            background-color:  #a6cee4;\n",
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       "            background-color:  #e0ecf8;\n",
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       "            background-color:  #eaf3fb;\n",
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       "            background-color:  #e9f2fa;\n",
       "            color:  #000000;\n",
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       "            color:  #000000;\n",
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       "            background-color:  #dceaf6;\n",
       "            color:  #000000;\n",
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       "            background-color:  #08488e;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #08306b;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #3c8cc3;\n",
       "            color:  #000000;\n",
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       "            background-color:  #3484bf;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col7 {\n",
       "            background-color:  #f7fbff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col8 {\n",
       "            background-color:  #f7fbff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col9 {\n",
       "            background-color:  #f6faff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col10 {\n",
       "            background-color:  #f0f6fd;\n",
       "            color:  #000000;\n",
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       "            background-color:  #aed1e7;\n",
       "            color:  #000000;\n",
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       "            background-color:  #d2e3f3;\n",
       "            color:  #000000;\n",
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       "            background-color:  #72b2d8;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col14 {\n",
       "            background-color:  #dae8f6;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col15 {\n",
       "            background-color:  #d7e6f5;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col16 {\n",
       "            background-color:  #caddf0;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col17 {\n",
       "            background-color:  #dbe9f6;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col18 {\n",
       "            background-color:  #deebf7;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col19 {\n",
       "            background-color:  #dfecf7;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col0 {\n",
       "            background-color:  #f1f7fd;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col1 {\n",
       "            background-color:  #b3d3e8;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col2 {\n",
       "            background-color:  #d5e5f4;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col3 {\n",
       "            background-color:  #08306b;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col4 {\n",
       "            background-color:  #084c95;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col5 {\n",
       "            background-color:  #d3e3f3;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col6 {\n",
       "            background-color:  #bcd7eb;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col7 {\n",
       "            background-color:  #f7fbff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col8 {\n",
       "            background-color:  #f3f8fe;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col9 {\n",
       "            background-color:  #f6faff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col10 {\n",
       "            background-color:  #f2f7fd;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col11 {\n",
       "            background-color:  #cbdef1;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col12 {\n",
       "            background-color:  #dce9f6;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col13 {\n",
       "            background-color:  #3585bf;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col14 {\n",
       "            background-color:  #f7fbff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col15 {\n",
       "            background-color:  #eff6fc;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col16 {\n",
       "            background-color:  #f7fbff;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col17 {\n",
       "            background-color:  #eef5fc;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col18 {\n",
       "            background-color:  #d3e4f3;\n",
       "            color:  #000000;\n",
       "        }    #T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col19 {\n",
       "            background-color:  #eef5fc;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89b\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >1XBPFO</th>        <th class=\"col_heading level0 col1\" >2XBPFO</th>        <th class=\"col_heading level0 col2\" >3XBPFO</th>        <th class=\"col_heading level0 col3\" >4XBPFO</th>        <th class=\"col_heading level0 col4\" >5XBPFO</th>        <th class=\"col_heading level0 col5\" >6XBPFO</th>        <th class=\"col_heading level0 col6\" >7XBPFO</th>        <th class=\"col_heading level0 col7\" >8XBPFO</th>        <th class=\"col_heading level0 col8\" >9XBPFO</th>        <th class=\"col_heading level0 col9\" >10XBPFO</th>        <th class=\"col_heading level0 col10\" >11XBPFO</th>        <th class=\"col_heading level0 col11\" >12XBPFO</th>        <th class=\"col_heading level0 col12\" >13XBPFO</th>        <th class=\"col_heading level0 col13\" >14XBPFO</th>        <th class=\"col_heading level0 col14\" >15XBPFO</th>        <th class=\"col_heading level0 col15\" >16XBPFO</th>        <th class=\"col_heading level0 col16\" >17XBPFO</th>        <th class=\"col_heading level0 col17\" >18XBPFO</th>        <th class=\"col_heading level0 col18\" >19XBPFO</th>        <th class=\"col_heading level0 col19\" >20XBPFO</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col0\" class=\"data row0 col0\" >0.024178</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col1\" class=\"data row0 col1\" >0.007076</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col2\" class=\"data row0 col2\" >0.010499</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col3\" class=\"data row0 col3\" >0.013205</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col4\" class=\"data row0 col4\" >0.010896</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col5\" class=\"data row0 col5\" >0.091464</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col6\" class=\"data row0 col6\" >0.012891</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col7\" class=\"data row0 col7\" >0.018681</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col8\" class=\"data row0 col8\" >0.022702</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col9\" class=\"data row0 col9\" >0.038470</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col10\" class=\"data row0 col10\" >0.016197</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col11\" class=\"data row0 col11\" >0.010116</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col12\" class=\"data row0 col12\" >0.021212</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col13\" class=\"data row0 col13\" >0.000213</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col14\" class=\"data row0 col14\" >0.004828</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col15\" class=\"data row0 col15\" >0.004185</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col16\" class=\"data row0 col16\" >0.005497</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col17\" class=\"data row0 col17\" >0.003610</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col18\" class=\"data row0 col18\" >0.002062</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow0_col19\" class=\"data row0 col19\" >0.002505</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col0\" class=\"data row1 col0\" >0.055888</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col1\" class=\"data row1 col1\" >0.007851</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col2\" class=\"data row1 col2\" >0.015133</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col3\" class=\"data row1 col3\" >0.006148</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col4\" class=\"data row1 col4\" >0.009399</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col5\" class=\"data row1 col5\" >0.087912</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col6\" class=\"data row1 col6\" >0.024799</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col7\" class=\"data row1 col7\" >0.030888</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col8\" class=\"data row1 col8\" >0.031860</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col9\" class=\"data row1 col9\" >0.033967</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col10\" class=\"data row1 col10\" >0.010796</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col11\" class=\"data row1 col11\" >0.010814</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col12\" class=\"data row1 col12\" >0.021339</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col13\" class=\"data row1 col13\" >0.004622</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col14\" class=\"data row1 col14\" >0.008494</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col15\" class=\"data row1 col15\" >0.002809</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col16\" class=\"data row1 col16\" >0.001191</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col17\" class=\"data row1 col17\" >0.001914</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col18\" class=\"data row1 col18\" >0.008522</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow1_col19\" class=\"data row1 col19\" >0.004215</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col0\" class=\"data row2 col0\" >0.027438</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col1\" class=\"data row2 col1\" >0.004708</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col2\" class=\"data row2 col2\" >0.002374</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col3\" class=\"data row2 col3\" >0.010365</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col4\" class=\"data row2 col4\" >0.003581</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col5\" class=\"data row2 col5\" >0.060537</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col6\" class=\"data row2 col6\" >0.003384</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col7\" class=\"data row2 col7\" >0.038724</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col8\" class=\"data row2 col8\" >0.029513</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col9\" class=\"data row2 col9\" >0.017968</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col10\" class=\"data row2 col10\" >0.007373</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col11\" class=\"data row2 col11\" >0.007052</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col12\" class=\"data row2 col12\" >0.015954</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col13\" class=\"data row2 col13\" >0.003189</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col14\" class=\"data row2 col14\" >0.001421</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col15\" class=\"data row2 col15\" >0.009200</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col16\" class=\"data row2 col16\" >0.005694</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col17\" class=\"data row2 col17\" >0.003260</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col18\" class=\"data row2 col18\" >0.003035</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow2_col19\" class=\"data row2 col19\" >0.002960</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col0\" class=\"data row3 col0\" >0.030069</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col1\" class=\"data row3 col1\" >0.008573</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col2\" class=\"data row3 col2\" >0.009686</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col3\" class=\"data row3 col3\" >0.008440</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col4\" class=\"data row3 col4\" >0.002690</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col5\" class=\"data row3 col5\" >0.047062</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col6\" class=\"data row3 col6\" >0.033867</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col7\" class=\"data row3 col7\" >0.032495</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col8\" class=\"data row3 col8\" >0.036900</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col9\" class=\"data row3 col9\" >0.006784</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col10\" class=\"data row3 col10\" >0.031628</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col11\" class=\"data row3 col11\" >0.017477</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col12\" class=\"data row3 col12\" >0.010743</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col13\" class=\"data row3 col13\" >0.004903</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col14\" class=\"data row3 col14\" >0.011012</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col15\" class=\"data row3 col15\" >0.007512</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col16\" class=\"data row3 col16\" >0.002779</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col17\" class=\"data row3 col17\" >0.001878</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col18\" class=\"data row3 col18\" >0.004456</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow3_col19\" class=\"data row3 col19\" >0.010371</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col0\" class=\"data row4 col0\" >0.010518</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col1\" class=\"data row4 col1\" >0.004864</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col2\" class=\"data row4 col2\" >0.013915</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col3\" class=\"data row4 col3\" >0.015447</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col4\" class=\"data row4 col4\" >0.003787</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col5\" class=\"data row4 col5\" >0.077121</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col6\" class=\"data row4 col6\" >0.026033</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col7\" class=\"data row4 col7\" >0.091804</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col8\" class=\"data row4 col8\" >0.032342</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col9\" class=\"data row4 col9\" >0.031036</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col10\" class=\"data row4 col10\" >0.008397</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col11\" class=\"data row4 col11\" >0.012784</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col12\" class=\"data row4 col12\" >0.028185</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col13\" class=\"data row4 col13\" >0.005764</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col14\" class=\"data row4 col14\" >0.007510</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col15\" class=\"data row4 col15\" >0.007872</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col16\" class=\"data row4 col16\" >0.004120</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col17\" class=\"data row4 col17\" >0.001525</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col18\" class=\"data row4 col18\" >0.004874</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow4_col19\" class=\"data row4 col19\" >0.005103</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col0\" class=\"data row5 col0\" >0.056963</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col1\" class=\"data row5 col1\" >0.012098</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col2\" class=\"data row5 col2\" >0.015090</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col3\" class=\"data row5 col3\" >0.003637</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col4\" class=\"data row5 col4\" >0.008842</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col5\" class=\"data row5 col5\" >0.097252</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col6\" class=\"data row5 col6\" >0.017632</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col7\" class=\"data row5 col7\" >0.019150</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col8\" class=\"data row5 col8\" >0.026343</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col9\" class=\"data row5 col9\" >0.026939</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col10\" class=\"data row5 col10\" >0.023274</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col11\" class=\"data row5 col11\" >0.010135</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col12\" class=\"data row5 col12\" >0.022101</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col13\" class=\"data row5 col13\" >0.002749</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col14\" class=\"data row5 col14\" >0.003542</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col15\" class=\"data row5 col15\" >0.008069</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col16\" class=\"data row5 col16\" >0.002333</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col17\" class=\"data row5 col17\" >0.001316</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col18\" class=\"data row5 col18\" >0.004030</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow5_col19\" class=\"data row5 col19\" >0.003083</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col0\" class=\"data row6 col0\" >0.014251</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col1\" class=\"data row6 col1\" >0.004146</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col2\" class=\"data row6 col2\" >0.002227</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col3\" class=\"data row6 col3\" >0.008751</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col4\" class=\"data row6 col4\" >0.005737</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col5\" class=\"data row6 col5\" >0.049700</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col6\" class=\"data row6 col6\" >0.018553</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col7\" class=\"data row6 col7\" >0.059055</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col8\" class=\"data row6 col8\" >0.020453</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col9\" class=\"data row6 col9\" >0.025759</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col10\" class=\"data row6 col10\" >0.016987</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col11\" class=\"data row6 col11\" >0.012442</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col12\" class=\"data row6 col12\" >0.027817</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col13\" class=\"data row6 col13\" >0.006381</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col14\" class=\"data row6 col14\" >0.003895</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col15\" class=\"data row6 col15\" >0.005950</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col16\" class=\"data row6 col16\" >0.004519</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col17\" class=\"data row6 col17\" >0.000573</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col18\" class=\"data row6 col18\" >0.004244</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow6_col19\" class=\"data row6 col19\" >0.004121</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col0\" class=\"data row7 col0\" >0.030989</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col1\" class=\"data row7 col1\" >0.003814</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col2\" class=\"data row7 col2\" >0.015140</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col3\" class=\"data row7 col3\" >0.007861</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col4\" class=\"data row7 col4\" >0.008196</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col5\" class=\"data row7 col5\" >0.055277</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col6\" class=\"data row7 col6\" >0.007148</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col7\" class=\"data row7 col7\" >0.004969</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col8\" class=\"data row7 col8\" >0.012425</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col9\" class=\"data row7 col9\" >0.016965</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col10\" class=\"data row7 col10\" >0.024738</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col11\" class=\"data row7 col11\" >0.017842</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col12\" class=\"data row7 col12\" >0.020877</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col13\" class=\"data row7 col13\" >0.002159</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col14\" class=\"data row7 col14\" >0.003780</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col15\" class=\"data row7 col15\" >0.008584</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col16\" class=\"data row7 col16\" >0.001462</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col17\" class=\"data row7 col17\" >0.004523</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col18\" class=\"data row7 col18\" >0.004186</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow7_col19\" class=\"data row7 col19\" >0.012333</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col0\" class=\"data row8 col0\" >0.054912</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col1\" class=\"data row8 col1\" >0.003320</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col2\" class=\"data row8 col2\" >0.014262</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col3\" class=\"data row8 col3\" >0.006095</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col4\" class=\"data row8 col4\" >0.010843</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col5\" class=\"data row8 col5\" >0.065696</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col6\" class=\"data row8 col6\" >0.047045</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col7\" class=\"data row8 col7\" >0.022400</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col8\" class=\"data row8 col8\" >0.030278</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col9\" class=\"data row8 col9\" >0.039565</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col10\" class=\"data row8 col10\" >0.011147</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col11\" class=\"data row8 col11\" >0.010393</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col12\" class=\"data row8 col12\" >0.018948</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col13\" class=\"data row8 col13\" >0.005645</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col14\" class=\"data row8 col14\" >0.006207</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col15\" class=\"data row8 col15\" >0.003753</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col16\" class=\"data row8 col16\" >0.000773</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col17\" class=\"data row8 col17\" >0.001402</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col18\" class=\"data row8 col18\" >0.001469</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow8_col19\" class=\"data row8 col19\" >0.013338</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col0\" class=\"data row9 col0\" >0.044957</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col1\" class=\"data row9 col1\" >0.004512</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col2\" class=\"data row9 col2\" >0.008504</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col3\" class=\"data row9 col3\" >0.002331</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col4\" class=\"data row9 col4\" >0.004303</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col5\" class=\"data row9 col5\" >0.095776</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col6\" class=\"data row9 col6\" >0.022674</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col7\" class=\"data row9 col7\" >0.070159</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col8\" class=\"data row9 col8\" >0.019605</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col9\" class=\"data row9 col9\" >0.044013</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col10\" class=\"data row9 col10\" >0.004336</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col11\" class=\"data row9 col11\" >0.014712</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col12\" class=\"data row9 col12\" >0.021743</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col13\" class=\"data row9 col13\" >0.002720</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col14\" class=\"data row9 col14\" >0.001812</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col15\" class=\"data row9 col15\" >0.003561</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col16\" class=\"data row9 col16\" >0.005409</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col17\" class=\"data row9 col17\" >0.006511</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col18\" class=\"data row9 col18\" >0.001560</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow9_col19\" class=\"data row9 col19\" >0.010499</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col0\" class=\"data row10 col0\" >0.028837</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col1\" class=\"data row10 col1\" >0.008572</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col2\" class=\"data row10 col2\" >0.016445</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col3\" class=\"data row10 col3\" >0.005042</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col4\" class=\"data row10 col4\" >0.002675</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col5\" class=\"data row10 col5\" >0.042483</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col6\" class=\"data row10 col6\" >0.015695</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col7\" class=\"data row10 col7\" >0.055685</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col8\" class=\"data row10 col8\" >0.015464</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col9\" class=\"data row10 col9\" >0.016222</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col10\" class=\"data row10 col10\" >0.013408</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col11\" class=\"data row10 col11\" >0.019880</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col12\" class=\"data row10 col12\" >0.025985</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col13\" class=\"data row10 col13\" >0.001605</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col14\" class=\"data row10 col14\" >0.004871</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col15\" class=\"data row10 col15\" >0.011975</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col16\" class=\"data row10 col16\" >0.002714</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col17\" class=\"data row10 col17\" >0.001492</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col18\" class=\"data row10 col18\" >0.001494</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow10_col19\" class=\"data row10 col19\" >0.002401</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col0\" class=\"data row11 col0\" >0.047654</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col1\" class=\"data row11 col1\" >0.007252</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col2\" class=\"data row11 col2\" >0.010671</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col3\" class=\"data row11 col3\" >0.006250</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col4\" class=\"data row11 col4\" >0.008786</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col5\" class=\"data row11 col5\" >0.061834</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col6\" class=\"data row11 col6\" >0.003235</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col7\" class=\"data row11 col7\" >0.048560</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col8\" class=\"data row11 col8\" >0.010848</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col9\" class=\"data row11 col9\" >0.030747</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col10\" class=\"data row11 col10\" >0.008058</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col11\" class=\"data row11 col11\" >0.011347</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col12\" class=\"data row11 col12\" >0.030278</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col13\" class=\"data row11 col13\" >0.002800</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col14\" class=\"data row11 col14\" >0.002973</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col15\" class=\"data row11 col15\" >0.009667</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col16\" class=\"data row11 col16\" >0.003743</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col17\" class=\"data row11 col17\" >0.001071</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col18\" class=\"data row11 col18\" >0.003958</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow11_col19\" class=\"data row11 col19\" >0.002974</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col0\" class=\"data row12 col0\" >0.028747</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col1\" class=\"data row12 col1\" >0.002896</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col2\" class=\"data row12 col2\" >0.014995</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col3\" class=\"data row12 col3\" >0.008046</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col4\" class=\"data row12 col4\" >0.005217</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col5\" class=\"data row12 col5\" >0.070159</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col6\" class=\"data row12 col6\" >0.023244</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col7\" class=\"data row12 col7\" >0.055659</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col8\" class=\"data row12 col8\" >0.013469</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col9\" class=\"data row12 col9\" >0.034297</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col10\" class=\"data row12 col10\" >0.015188</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col11\" class=\"data row12 col11\" >0.011695</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col12\" class=\"data row12 col12\" >0.020536</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col13\" class=\"data row12 col13\" >0.013090</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col14\" class=\"data row12 col14\" >0.005506</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col15\" class=\"data row12 col15\" >0.002961</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col16\" class=\"data row12 col16\" >0.003359</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col17\" class=\"data row12 col17\" >0.001397</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col18\" class=\"data row12 col18\" >0.007679</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow12_col19\" class=\"data row12 col19\" >0.005875</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col0\" class=\"data row13 col0\" >0.051990</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col1\" class=\"data row13 col1\" >0.006107</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col2\" class=\"data row13 col2\" >0.002709</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col3\" class=\"data row13 col3\" >0.013779</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col4\" class=\"data row13 col4\" >0.011850</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col5\" class=\"data row13 col5\" >0.076068</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col6\" class=\"data row13 col6\" >0.034145</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col7\" class=\"data row13 col7\" >0.030267</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col8\" class=\"data row13 col8\" >0.028888</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col9\" class=\"data row13 col9\" >0.017836</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col10\" class=\"data row13 col10\" >0.008845</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col11\" class=\"data row13 col11\" >0.009257</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col12\" class=\"data row13 col12\" >0.028038</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col13\" class=\"data row13 col13\" >0.004874</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col14\" class=\"data row13 col14\" >0.005994</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col15\" class=\"data row13 col15\" >0.005588</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col16\" class=\"data row13 col16\" >0.006196</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col17\" class=\"data row13 col17\" >0.003983</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col18\" class=\"data row13 col18\" >0.005163</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow13_col19\" class=\"data row13 col19\" >0.010535</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col0\" class=\"data row14 col0\" >0.035023</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col1\" class=\"data row14 col1\" >0.003340</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col2\" class=\"data row14 col2\" >0.015302</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col3\" class=\"data row14 col3\" >0.011248</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col4\" class=\"data row14 col4\" >0.004548</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col5\" class=\"data row14 col5\" >0.036408</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col6\" class=\"data row14 col6\" >0.018150</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col7\" class=\"data row14 col7\" >0.072641</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col8\" class=\"data row14 col8\" >0.031457</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col9\" class=\"data row14 col9\" >0.005092</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col10\" class=\"data row14 col10\" >0.026684</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col11\" class=\"data row14 col11\" >0.010703</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col12\" class=\"data row14 col12\" >0.026160</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col13\" class=\"data row14 col13\" >0.003015</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col14\" class=\"data row14 col14\" >0.003705</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col15\" class=\"data row14 col15\" >0.006990</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col16\" class=\"data row14 col16\" >0.001455</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col17\" class=\"data row14 col17\" >0.003956</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col18\" class=\"data row14 col18\" >0.004149</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow14_col19\" class=\"data row14 col19\" >0.001725</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col0\" class=\"data row15 col0\" >0.040131</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col1\" class=\"data row15 col1\" >0.009992</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col2\" class=\"data row15 col2\" >0.005830</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col3\" class=\"data row15 col3\" >0.008846</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col4\" class=\"data row15 col4\" >0.006705</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col5\" class=\"data row15 col5\" >0.103237</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col6\" class=\"data row15 col6\" >0.009681</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col7\" class=\"data row15 col7\" >0.068371</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col8\" class=\"data row15 col8\" >0.010460</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col9\" class=\"data row15 col9\" >0.048843</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col10\" class=\"data row15 col10\" >0.013824</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col11\" class=\"data row15 col11\" >0.012984</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col12\" class=\"data row15 col12\" >0.019870</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col13\" class=\"data row15 col13\" >0.004841</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col14\" class=\"data row15 col14\" >0.004931</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col15\" class=\"data row15 col15\" >0.008363</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col16\" class=\"data row15 col16\" >0.002111</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col17\" class=\"data row15 col17\" >0.001172</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col18\" class=\"data row15 col18\" >0.004567</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow15_col19\" class=\"data row15 col19\" >0.003062</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col0\" class=\"data row16 col0\" >0.024935</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col1\" class=\"data row16 col1\" >0.004940</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col2\" class=\"data row16 col2\" >0.007518</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col3\" class=\"data row16 col3\" >0.011680</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col4\" class=\"data row16 col4\" >0.012232</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col5\" class=\"data row16 col5\" >0.060230</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col6\" class=\"data row16 col6\" >0.021677</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col7\" class=\"data row16 col7\" >0.037575</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col8\" class=\"data row16 col8\" >0.024091</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col9\" class=\"data row16 col9\" >0.038174</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col10\" class=\"data row16 col10\" >0.003079</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col11\" class=\"data row16 col11\" >0.007274</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col12\" class=\"data row16 col12\" >0.022101</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col13\" class=\"data row16 col13\" >0.003296</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col14\" class=\"data row16 col14\" >0.004614</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col15\" class=\"data row16 col15\" >0.002660</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col16\" class=\"data row16 col16\" >0.003511</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col17\" class=\"data row16 col17\" >0.003833</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col18\" class=\"data row16 col18\" >0.005984</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow16_col19\" class=\"data row16 col19\" >0.002589</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col0\" class=\"data row17 col0\" >0.007629</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col1\" class=\"data row17 col1\" >0.010819</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col2\" class=\"data row17 col2\" >0.010829</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col3\" class=\"data row17 col3\" >0.002912</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col4\" class=\"data row17 col4\" >0.003812</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col5\" class=\"data row17 col5\" >0.072439</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col6\" class=\"data row17 col6\" >0.009642</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col7\" class=\"data row17 col7\" >0.013478</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col8\" class=\"data row17 col8\" >0.019417</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col9\" class=\"data row17 col9\" >0.028186</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col10\" class=\"data row17 col10\" >0.019705</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col11\" class=\"data row17 col11\" >0.007878</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col12\" class=\"data row17 col12\" >0.028538</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col13\" class=\"data row17 col13\" >0.005196</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col14\" class=\"data row17 col14\" >0.002453</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col15\" class=\"data row17 col15\" >0.004466</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col16\" class=\"data row17 col16\" >0.003714</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col17\" class=\"data row17 col17\" >0.002729</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col18\" class=\"data row17 col18\" >0.000903</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow17_col19\" class=\"data row17 col19\" >0.002664</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col0\" class=\"data row18 col0\" >0.020598</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col1\" class=\"data row18 col1\" >0.010833</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col2\" class=\"data row18 col2\" >0.010337</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col3\" class=\"data row18 col3\" >0.002676</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col4\" class=\"data row18 col4\" >0.002585</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col5\" class=\"data row18 col5\" >0.023108</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col6\" class=\"data row18 col6\" >0.015581</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col7\" class=\"data row18 col7\" >0.050142</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col8\" class=\"data row18 col8\" >0.012871</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col9\" class=\"data row18 col9\" >0.007502</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col10\" class=\"data row18 col10\" >0.005962</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col11\" class=\"data row18 col11\" >0.015110</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col12\" class=\"data row18 col12\" >0.018865</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col13\" class=\"data row18 col13\" >0.000974</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col14\" class=\"data row18 col14\" >0.005078</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col15\" class=\"data row18 col15\" >0.008091</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col16\" class=\"data row18 col16\" >0.004492</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col17\" class=\"data row18 col17\" >0.001455</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col18\" class=\"data row18 col18\" >0.006964</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow18_col19\" class=\"data row18 col19\" >0.002805</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col0\" class=\"data row19 col0\" >0.068358</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col1\" class=\"data row19 col1\" >0.008352</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col2\" class=\"data row19 col2\" >0.015455</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col3\" class=\"data row19 col3\" >0.006395</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col4\" class=\"data row19 col4\" >0.006283</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col5\" class=\"data row19 col5\" >0.076447</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col6\" class=\"data row19 col6\" >0.005216</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col7\" class=\"data row19 col7\" >0.059938</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col8\" class=\"data row19 col8\" >0.016808</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col9\" class=\"data row19 col9\" >0.036586</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col10\" class=\"data row19 col10\" >0.025004</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col11\" class=\"data row19 col11\" >0.011451</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col12\" class=\"data row19 col12\" >0.018876</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col13\" class=\"data row19 col13\" >0.003212</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col14\" class=\"data row19 col14\" >0.004747</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col15\" class=\"data row19 col15\" >0.006072</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col16\" class=\"data row19 col16\" >0.002167</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col17\" class=\"data row19 col17\" >0.002306</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col18\" class=\"data row19 col18\" >0.003040</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow19_col19\" class=\"data row19 col19\" >0.001187</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col0\" class=\"data row20 col0\" >0.054329</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col1\" class=\"data row20 col1\" >0.004388</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col2\" class=\"data row20 col2\" >0.014763</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col3\" class=\"data row20 col3\" >0.011012</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col4\" class=\"data row20 col4\" >0.007240</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col5\" class=\"data row20 col5\" >0.078209</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col6\" class=\"data row20 col6\" >0.009481</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col7\" class=\"data row20 col7\" >0.043173</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col8\" class=\"data row20 col8\" >0.017431</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col9\" class=\"data row20 col9\" >0.049129</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col10\" class=\"data row20 col10\" >0.033966</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col11\" class=\"data row20 col11\" >0.013704</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col12\" class=\"data row20 col12\" >0.025638</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col13\" class=\"data row20 col13\" >0.001942</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col14\" class=\"data row20 col14\" >0.005606</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col15\" class=\"data row20 col15\" >0.007518</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col16\" class=\"data row20 col16\" >0.003328</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col17\" class=\"data row20 col17\" >0.000980</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col18\" class=\"data row20 col18\" >0.000723</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow20_col19\" class=\"data row20 col19\" >0.000899</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col0\" class=\"data row21 col0\" >0.024187</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col1\" class=\"data row21 col1\" >0.003002</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col2\" class=\"data row21 col2\" >0.006318</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col3\" class=\"data row21 col3\" >0.012240</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col4\" class=\"data row21 col4\" >0.003608</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col5\" class=\"data row21 col5\" >0.056381</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col6\" class=\"data row21 col6\" >0.012046</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col7\" class=\"data row21 col7\" >0.027376</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col8\" class=\"data row21 col8\" >0.013197</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col9\" class=\"data row21 col9\" >0.012544</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col10\" class=\"data row21 col10\" >0.019989</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col11\" class=\"data row21 col11\" >0.020911</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col12\" class=\"data row21 col12\" >0.022920</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col13\" class=\"data row21 col13\" >0.007661</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col14\" class=\"data row21 col14\" >0.004477</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col15\" class=\"data row21 col15\" >0.007821</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col16\" class=\"data row21 col16\" >0.003149</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col17\" class=\"data row21 col17\" >0.000804</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col18\" class=\"data row21 col18\" >0.003151</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow21_col19\" class=\"data row21 col19\" >0.004414</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col0\" class=\"data row22 col0\" >0.039374</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col1\" class=\"data row22 col1\" >0.005905</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col2\" class=\"data row22 col2\" >0.016013</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col3\" class=\"data row22 col3\" >0.010680</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col4\" class=\"data row22 col4\" >0.005044</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col5\" class=\"data row22 col5\" >0.031636</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col6\" class=\"data row22 col6\" >0.006492</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col7\" class=\"data row22 col7\" >0.058067</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col8\" class=\"data row22 col8\" >0.029656</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col9\" class=\"data row22 col9\" >0.035281</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col10\" class=\"data row22 col10\" >0.019026</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col11\" class=\"data row22 col11\" >0.012756</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col12\" class=\"data row22 col12\" >0.014352</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col13\" class=\"data row22 col13\" >0.003337</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col14\" class=\"data row22 col14\" >0.000856</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col15\" class=\"data row22 col15\" >0.005351</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col16\" class=\"data row22 col16\" >0.001626</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col17\" class=\"data row22 col17\" >0.001750</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col18\" class=\"data row22 col18\" >0.005398</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow22_col19\" class=\"data row22 col19\" >0.008625</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col0\" class=\"data row23 col0\" >0.045384</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col1\" class=\"data row23 col1\" >0.006628</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col2\" class=\"data row23 col2\" >0.012624</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col3\" class=\"data row23 col3\" >0.002566</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col4\" class=\"data row23 col4\" >0.015648</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col5\" class=\"data row23 col5\" >0.064460</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col6\" class=\"data row23 col6\" >0.040320</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col7\" class=\"data row23 col7\" >0.046495</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col8\" class=\"data row23 col8\" >0.023312</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col9\" class=\"data row23 col9\" >0.029400</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col10\" class=\"data row23 col10\" >0.023106</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col11\" class=\"data row23 col11\" >0.010394</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col12\" class=\"data row23 col12\" >0.017340</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col13\" class=\"data row23 col13\" >0.002053</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col14\" class=\"data row23 col14\" >0.007249</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col15\" class=\"data row23 col15\" >0.003993</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col16\" class=\"data row23 col16\" >0.000614</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col17\" class=\"data row23 col17\" >0.002293</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col18\" class=\"data row23 col18\" >0.001789</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow23_col19\" class=\"data row23 col19\" >0.003627</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col0\" class=\"data row24 col0\" >0.051661</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col1\" class=\"data row24 col1\" >0.007996</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col2\" class=\"data row24 col2\" >0.004463</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col3\" class=\"data row24 col3\" >0.005474</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col4\" class=\"data row24 col4\" >0.007306</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col5\" class=\"data row24 col5\" >0.053784</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col6\" class=\"data row24 col6\" >0.013557</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col7\" class=\"data row24 col7\" >0.027085</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col8\" class=\"data row24 col8\" >0.027573</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col9\" class=\"data row24 col9\" >0.012844</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col10\" class=\"data row24 col10\" >0.010905</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col11\" class=\"data row24 col11\" >0.015956</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col12\" class=\"data row24 col12\" >0.022705</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col13\" class=\"data row24 col13\" >0.003362</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col14\" class=\"data row24 col14\" >0.005956</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col15\" class=\"data row24 col15\" >0.005303</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col16\" class=\"data row24 col16\" >0.003705</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col17\" class=\"data row24 col17\" >0.000682</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col18\" class=\"data row24 col18\" >0.003206</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow24_col19\" class=\"data row24 col19\" >0.003144</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col0\" class=\"data row25 col0\" >0.014167</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col1\" class=\"data row25 col1\" >0.012873</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col2\" class=\"data row25 col2\" >0.007278</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col3\" class=\"data row25 col3\" >0.005724</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col4\" class=\"data row25 col4\" >0.003246</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col5\" class=\"data row25 col5\" >0.067896</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col6\" class=\"data row25 col6\" >0.011589</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col7\" class=\"data row25 col7\" >0.012745</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col8\" class=\"data row25 col8\" >0.009168</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col9\" class=\"data row25 col9\" >0.017974</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col10\" class=\"data row25 col10\" >0.020396</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col11\" class=\"data row25 col11\" >0.012176</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col12\" class=\"data row25 col12\" >0.015995</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col13\" class=\"data row25 col13\" >0.001617</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col14\" class=\"data row25 col14\" >0.008058</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col15\" class=\"data row25 col15\" >0.006483</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col16\" class=\"data row25 col16\" >0.003354</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col17\" class=\"data row25 col17\" >0.004118</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col18\" class=\"data row25 col18\" >0.007756</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow25_col19\" class=\"data row25 col19\" >0.004231</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col0\" class=\"data row26 col0\" >0.066863</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col1\" class=\"data row26 col1\" >0.006349</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col2\" class=\"data row26 col2\" >0.008349</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col3\" class=\"data row26 col3\" >0.003791</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col4\" class=\"data row26 col4\" >0.007571</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col5\" class=\"data row26 col5\" >0.050711</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col6\" class=\"data row26 col6\" >0.014678</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col7\" class=\"data row26 col7\" >0.054318</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col8\" class=\"data row26 col8\" >0.018625</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col9\" class=\"data row26 col9\" >0.019610</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col10\" class=\"data row26 col10\" >0.029943</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col11\" class=\"data row26 col11\" >0.013159</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col12\" class=\"data row26 col12\" >0.016489</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col13\" class=\"data row26 col13\" >0.005250</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col14\" class=\"data row26 col14\" >0.003017</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col15\" class=\"data row26 col15\" >0.008671</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col16\" class=\"data row26 col16\" >0.001754</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col17\" class=\"data row26 col17\" >0.002453</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col18\" class=\"data row26 col18\" >0.002785</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow26_col19\" class=\"data row26 col19\" >0.004362</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col0\" class=\"data row27 col0\" >0.012130</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col1\" class=\"data row27 col1\" >0.012329</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col2\" class=\"data row27 col2\" >0.018960</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col3\" class=\"data row27 col3\" >0.005110</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col4\" class=\"data row27 col4\" >0.002321</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col5\" class=\"data row27 col5\" >0.108730</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col6\" class=\"data row27 col6\" >0.019593</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col7\" class=\"data row27 col7\" >0.040039</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col8\" class=\"data row27 col8\" >0.017354</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col9\" class=\"data row27 col9\" >0.020709</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col10\" class=\"data row27 col10\" >0.037506</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col11\" class=\"data row27 col11\" >0.006029</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col12\" class=\"data row27 col12\" >0.023801</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col13\" class=\"data row27 col13\" >0.002264</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col14\" class=\"data row27 col14\" >0.003502</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col15\" class=\"data row27 col15\" >0.004584</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col16\" class=\"data row27 col16\" >0.000902</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col17\" class=\"data row27 col17\" >0.002454</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col18\" class=\"data row27 col18\" >0.003798</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow27_col19\" class=\"data row27 col19\" >0.007720</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col0\" class=\"data row28 col0\" >0.041671</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col1\" class=\"data row28 col1\" >0.013067</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col2\" class=\"data row28 col2\" >0.001907</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col3\" class=\"data row28 col3\" >0.005037</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col4\" class=\"data row28 col4\" >0.004938</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col5\" class=\"data row28 col5\" >0.071021</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col6\" class=\"data row28 col6\" >0.005744</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col7\" class=\"data row28 col7\" >0.011279</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col8\" class=\"data row28 col8\" >0.028030</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col9\" class=\"data row28 col9\" >0.020351</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col10\" class=\"data row28 col10\" >0.007797</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col11\" class=\"data row28 col11\" >0.010521</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col12\" class=\"data row28 col12\" >0.016289</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col13\" class=\"data row28 col13\" >0.004813</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col14\" class=\"data row28 col14\" >0.001899</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col15\" class=\"data row28 col15\" >0.006048</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col16\" class=\"data row28 col16\" >0.004033</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col17\" class=\"data row28 col17\" >0.002010</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col18\" class=\"data row28 col18\" >0.006831</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow28_col19\" class=\"data row28 col19\" >0.003850</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col0\" class=\"data row29 col0\" >0.010052</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col1\" class=\"data row29 col1\" >0.009179</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col2\" class=\"data row29 col2\" >0.019220</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col3\" class=\"data row29 col3\" >0.003379</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col4\" class=\"data row29 col4\" >0.001489</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col5\" class=\"data row29 col5\" >0.040453</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col6\" class=\"data row29 col6\" >0.010335</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col7\" class=\"data row29 col7\" >0.048574</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col8\" class=\"data row29 col8\" >0.018973</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col9\" class=\"data row29 col9\" >0.007440</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col10\" class=\"data row29 col10\" >0.007522</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col11\" class=\"data row29 col11\" >0.011761</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col12\" class=\"data row29 col12\" >0.025490</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col13\" class=\"data row29 col13\" >0.001013</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col14\" class=\"data row29 col14\" >0.003895</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col15\" class=\"data row29 col15\" >0.004553</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col16\" class=\"data row29 col16\" >0.004293</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col17\" class=\"data row29 col17\" >0.004059</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col18\" class=\"data row29 col18\" >0.003862</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow29_col19\" class=\"data row29 col19\" >0.004376</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col0\" class=\"data row30 col0\" >0.061784</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col1\" class=\"data row30 col1\" >0.009889</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col2\" class=\"data row30 col2\" >0.016139</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col3\" class=\"data row30 col3\" >0.003467</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col4\" class=\"data row30 col4\" >0.005196</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col5\" class=\"data row30 col5\" >0.056743</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col6\" class=\"data row30 col6\" >0.022314</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col7\" class=\"data row30 col7\" >0.049673</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col8\" class=\"data row30 col8\" >0.016952</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col9\" class=\"data row30 col9\" >0.012212</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col10\" class=\"data row30 col10\" >0.017404</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col11\" class=\"data row30 col11\" >0.014334</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col12\" class=\"data row30 col12\" >0.019996</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col13\" class=\"data row30 col13\" >0.004654</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col14\" class=\"data row30 col14\" >0.003429</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col15\" class=\"data row30 col15\" >0.005463</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col16\" class=\"data row30 col16\" >0.006302</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col17\" class=\"data row30 col17\" >0.002979</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col18\" class=\"data row30 col18\" >0.002817</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow30_col19\" class=\"data row30 col19\" >0.010619</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col0\" class=\"data row31 col0\" >0.024397</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col1\" class=\"data row31 col1\" >0.001324</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col2\" class=\"data row31 col2\" >0.013713</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col3\" class=\"data row31 col3\" >0.007501</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col4\" class=\"data row31 col4\" >0.014093</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col5\" class=\"data row31 col5\" >0.097505</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col6\" class=\"data row31 col6\" >0.024349</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col7\" class=\"data row31 col7\" >0.072091</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col8\" class=\"data row31 col8\" >0.042343</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col9\" class=\"data row31 col9\" >0.005489</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col10\" class=\"data row31 col10\" >0.006328</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col11\" class=\"data row31 col11\" >0.014738</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col12\" class=\"data row31 col12\" >0.018343</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col13\" class=\"data row31 col13\" >0.003807</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col14\" class=\"data row31 col14\" >0.005010</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col15\" class=\"data row31 col15\" >0.004949</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col16\" class=\"data row31 col16\" >0.001321</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col17\" class=\"data row31 col17\" >0.000614</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col18\" class=\"data row31 col18\" >0.004231</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow31_col19\" class=\"data row31 col19\" >0.009273</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col0\" class=\"data row32 col0\" >0.051096</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col1\" class=\"data row32 col1\" >0.009035</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col2\" class=\"data row32 col2\" >0.002000</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col3\" class=\"data row32 col3\" >0.004884</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col4\" class=\"data row32 col4\" >0.002412</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col5\" class=\"data row32 col5\" >0.075653</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col6\" class=\"data row32 col6\" >0.025055</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col7\" class=\"data row32 col7\" >0.019051</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col8\" class=\"data row32 col8\" >0.027744</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col9\" class=\"data row32 col9\" >0.033055</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col10\" class=\"data row32 col10\" >0.013052</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col11\" class=\"data row32 col11\" >0.004301</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col12\" class=\"data row32 col12\" >0.028169</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col13\" class=\"data row32 col13\" >0.004300</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col14\" class=\"data row32 col14\" >0.006584</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col15\" class=\"data row32 col15\" >0.006928</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col16\" class=\"data row32 col16\" >0.004601</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col17\" class=\"data row32 col17\" >0.003571</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col18\" class=\"data row32 col18\" >0.001052</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow32_col19\" class=\"data row32 col19\" >0.004910</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col0\" class=\"data row33 col0\" >0.023892</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col1\" class=\"data row33 col1\" >0.007681</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col2\" class=\"data row33 col2\" >0.011553</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col3\" class=\"data row33 col3\" >0.012052</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col4\" class=\"data row33 col4\" >0.003738</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col5\" class=\"data row33 col5\" >0.056175</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col6\" class=\"data row33 col6\" >0.028611</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col7\" class=\"data row33 col7\" >0.025285</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col8\" class=\"data row33 col8\" >0.017243</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col9\" class=\"data row33 col9\" >0.017368</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col10\" class=\"data row33 col10\" >0.006900</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col11\" class=\"data row33 col11\" >0.016279</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col12\" class=\"data row33 col12\" >0.018621</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col13\" class=\"data row33 col13\" >0.002508</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col14\" class=\"data row33 col14\" >0.001423</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col15\" class=\"data row33 col15\" >0.007994</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col16\" class=\"data row33 col16\" >0.002950</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col17\" class=\"data row33 col17\" >0.002611</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col18\" class=\"data row33 col18\" >0.006510</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow33_col19\" class=\"data row33 col19\" >0.008739</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col0\" class=\"data row34 col0\" >0.046309</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col1\" class=\"data row34 col1\" >0.007939</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col2\" class=\"data row34 col2\" >0.009557</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col3\" class=\"data row34 col3\" >0.007671</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col4\" class=\"data row34 col4\" >0.007071</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col5\" class=\"data row34 col5\" >0.035872</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col6\" class=\"data row34 col6\" >0.026259</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col7\" class=\"data row34 col7\" >0.033007</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col8\" class=\"data row34 col8\" >0.020260</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col9\" class=\"data row34 col9\" >0.012781</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col10\" class=\"data row34 col10\" >0.011280</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col11\" class=\"data row34 col11\" >0.012043</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col12\" class=\"data row34 col12\" >0.016563</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col13\" class=\"data row34 col13\" >0.005235</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col14\" class=\"data row34 col14\" >0.003623</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col15\" class=\"data row34 col15\" >0.005855</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col16\" class=\"data row34 col16\" >0.004266</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col17\" class=\"data row34 col17\" >0.002242</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col18\" class=\"data row34 col18\" >0.002424</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow34_col19\" class=\"data row34 col19\" >0.004898</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col0\" class=\"data row35 col0\" >0.028702</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col1\" class=\"data row35 col1\" >0.013012</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col2\" class=\"data row35 col2\" >0.013962</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col3\" class=\"data row35 col3\" >0.008254</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col4\" class=\"data row35 col4\" >0.001621</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col5\" class=\"data row35 col5\" >0.091632</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col6\" class=\"data row35 col6\" >0.009007</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col7\" class=\"data row35 col7\" >0.035274</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col8\" class=\"data row35 col8\" >0.019643</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col9\" class=\"data row35 col9\" >0.018840</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col10\" class=\"data row35 col10\" >0.017334</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col11\" class=\"data row35 col11\" >0.013646</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col12\" class=\"data row35 col12\" >0.031165</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col13\" class=\"data row35 col13\" >0.002512</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col14\" class=\"data row35 col14\" >0.008125</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col15\" class=\"data row35 col15\" >0.004410</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col16\" class=\"data row35 col16\" >0.002584</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col17\" class=\"data row35 col17\" >0.001261</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col18\" class=\"data row35 col18\" >0.005658</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow35_col19\" class=\"data row35 col19\" >0.003957</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col0\" class=\"data row36 col0\" >0.043268</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col1\" class=\"data row36 col1\" >0.013437</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col2\" class=\"data row36 col2\" >0.010823</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col3\" class=\"data row36 col3\" >0.003863</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col4\" class=\"data row36 col4\" >0.005252</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col5\" class=\"data row36 col5\" >0.077929</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col6\" class=\"data row36 col6\" >0.007127</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col7\" class=\"data row36 col7\" >0.038090</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col8\" class=\"data row36 col8\" >0.028627</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col9\" class=\"data row36 col9\" >0.025308</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col10\" class=\"data row36 col10\" >0.017066</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col11\" class=\"data row36 col11\" >0.014794</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col12\" class=\"data row36 col12\" >0.017913</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col13\" class=\"data row36 col13\" >0.003172</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col14\" class=\"data row36 col14\" >0.008371</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col15\" class=\"data row36 col15\" >0.005042</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col16\" class=\"data row36 col16\" >0.001558</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col17\" class=\"data row36 col17\" >0.002226</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col18\" class=\"data row36 col18\" >0.004036</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow36_col19\" class=\"data row36 col19\" >0.006213</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col0\" class=\"data row37 col0\" >0.012890</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col1\" class=\"data row37 col1\" >0.015007</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col2\" class=\"data row37 col2\" >0.011896</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col3\" class=\"data row37 col3\" >0.004634</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col4\" class=\"data row37 col4\" >0.006942</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col5\" class=\"data row37 col5\" >0.063067</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col6\" class=\"data row37 col6\" >0.015434</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col7\" class=\"data row37 col7\" >0.011731</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col8\" class=\"data row37 col8\" >0.018593</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col9\" class=\"data row37 col9\" >0.006088</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col10\" class=\"data row37 col10\" >0.027813</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col11\" class=\"data row37 col11\" >0.015312</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col12\" class=\"data row37 col12\" >0.016453</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col13\" class=\"data row37 col13\" >0.003551</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col14\" class=\"data row37 col14\" >0.001654</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col15\" class=\"data row37 col15\" >0.009261</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col16\" class=\"data row37 col16\" >0.001141</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col17\" class=\"data row37 col17\" >0.002878</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col18\" class=\"data row37 col18\" >0.001626</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow37_col19\" class=\"data row37 col19\" >0.002541</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col0\" class=\"data row38 col0\" >0.067310</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col1\" class=\"data row38 col1\" >0.007597</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col2\" class=\"data row38 col2\" >0.012126</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col3\" class=\"data row38 col3\" >0.007508</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col4\" class=\"data row38 col4\" >0.003959</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col5\" class=\"data row38 col5\" >0.098315</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col6\" class=\"data row38 col6\" >0.038962</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col7\" class=\"data row38 col7\" >0.056898</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col8\" class=\"data row38 col8\" >0.020010</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col9\" class=\"data row38 col9\" >0.013302</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col10\" class=\"data row38 col10\" >0.015549</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col11\" class=\"data row38 col11\" >0.009033</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col12\" class=\"data row38 col12\" >0.023011</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col13\" class=\"data row38 col13\" >0.001497</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col14\" class=\"data row38 col14\" >0.002580</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col15\" class=\"data row38 col15\" >0.005923</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col16\" class=\"data row38 col16\" >0.005387</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col17\" class=\"data row38 col17\" >0.001681</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col18\" class=\"data row38 col18\" >0.006528</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow38_col19\" class=\"data row38 col19\" >0.004571</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col0\" class=\"data row39 col0\" >0.025970</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col1\" class=\"data row39 col1\" >0.006365</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col2\" class=\"data row39 col2\" >0.003914</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col3\" class=\"data row39 col3\" >0.003543</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col4\" class=\"data row39 col4\" >0.010741</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col5\" class=\"data row39 col5\" >0.045180</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col6\" class=\"data row39 col6\" >0.008407</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col7\" class=\"data row39 col7\" >0.038107</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col8\" class=\"data row39 col8\" >0.036876</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col9\" class=\"data row39 col9\" >0.021511</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col10\" class=\"data row39 col10\" >0.011523</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col11\" class=\"data row39 col11\" >0.006139</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col12\" class=\"data row39 col12\" >0.027357</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col13\" class=\"data row39 col13\" >0.004807</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col14\" class=\"data row39 col14\" >0.005558</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col15\" class=\"data row39 col15\" >0.009295</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col16\" class=\"data row39 col16\" >0.005805</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col17\" class=\"data row39 col17\" >0.003313</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col18\" class=\"data row39 col18\" >0.000562</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow39_col19\" class=\"data row39 col19\" >0.006950</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col0\" class=\"data row40 col0\" >0.004795</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col1\" class=\"data row40 col1\" >0.004276</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col2\" class=\"data row40 col2\" >0.004342</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col3\" class=\"data row40 col3\" >0.019596</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col4\" class=\"data row40 col4\" >0.042321</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col5\" class=\"data row40 col5\" >0.066062</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col6\" class=\"data row40 col6\" >0.059598</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col7\" class=\"data row40 col7\" >0.000008</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col8\" class=\"data row40 col8\" >0.001154</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col9\" class=\"data row40 col9\" >0.000325</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col10\" class=\"data row40 col10\" >0.000972</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col11\" class=\"data row40 col11\" >0.003508</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col12\" class=\"data row40 col12\" >0.001684</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col13\" class=\"data row40 col13\" >0.018869</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col14\" class=\"data row40 col14\" >0.001678</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col15\" class=\"data row40 col15\" >0.001038</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col16\" class=\"data row40 col16\" >0.001882</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col17\" class=\"data row40 col17\" >0.000892</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col18\" class=\"data row40 col18\" >0.001918</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow40_col19\" class=\"data row40 col19\" >0.000633</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col0\" class=\"data row41 col0\" >0.005430</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col1\" class=\"data row41 col1\" >0.006171</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col2\" class=\"data row41 col2\" >0.004356</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col3\" class=\"data row41 col3\" >0.020696</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col4\" class=\"data row41 col4\" >0.044257</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col5\" class=\"data row41 col5\" >0.050765</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col6\" class=\"data row41 col6\" >0.043650</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col7\" class=\"data row41 col7\" >0.000023</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col8\" class=\"data row41 col8\" >0.000850</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col9\" class=\"data row41 col9\" >0.000123</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col10\" class=\"data row41 col10\" >0.001226</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col11\" class=\"data row41 col11\" >0.000921</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col12\" class=\"data row41 col12\" >0.007698</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col13\" class=\"data row41 col13\" >0.015900</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col14\" class=\"data row41 col14\" >0.002149</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col15\" class=\"data row41 col15\" >0.001402</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col16\" class=\"data row41 col16\" >0.001931</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col17\" class=\"data row41 col17\" >0.001012</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col18\" class=\"data row41 col18\" >0.002230</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow41_col19\" class=\"data row41 col19\" >0.002470</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col0\" class=\"data row42 col0\" >0.003756</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col1\" class=\"data row42 col1\" >0.003500</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col2\" class=\"data row42 col2\" >0.004766</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col3\" class=\"data row42 col3\" >0.020619</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col4\" class=\"data row42 col4\" >0.049960</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col5\" class=\"data row42 col5\" >0.053044</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col6\" class=\"data row42 col6\" >0.015261</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col7\" class=\"data row42 col7\" >0.000170</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col8\" class=\"data row42 col8\" >0.001875</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col9\" class=\"data row42 col9\" >0.000484</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col10\" class=\"data row42 col10\" >0.002256</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col11\" class=\"data row42 col11\" >0.001248</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col12\" class=\"data row42 col12\" >0.004517</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col13\" class=\"data row42 col13\" >0.015707</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col14\" class=\"data row42 col14\" >0.001549</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col15\" class=\"data row42 col15\" >0.001082</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col16\" class=\"data row42 col16\" >0.001306</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col17\" class=\"data row42 col17\" >0.001576</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col18\" class=\"data row42 col18\" >0.001130</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow42_col19\" class=\"data row42 col19\" >0.001668</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col0\" class=\"data row43 col0\" >0.003551</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col1\" class=\"data row43 col1\" >0.002572</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col2\" class=\"data row43 col2\" >0.004213</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col3\" class=\"data row43 col3\" >0.020893</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col4\" class=\"data row43 col4\" >0.047298</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col5\" class=\"data row43 col5\" >0.072873</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col6\" class=\"data row43 col6\" >0.012602</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col7\" class=\"data row43 col7\" >0.000152</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col8\" class=\"data row43 col8\" >0.001768</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col9\" class=\"data row43 col9\" >0.000170</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col10\" class=\"data row43 col10\" >0.000249</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col11\" class=\"data row43 col11\" >0.002041</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col12\" class=\"data row43 col12\" >0.003739</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col13\" class=\"data row43 col13\" >0.012503</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col14\" class=\"data row43 col14\" >0.000930</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col15\" class=\"data row43 col15\" >0.000234</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col16\" class=\"data row43 col16\" >0.000847</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col17\" class=\"data row43 col17\" >0.000217</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col18\" class=\"data row43 col18\" >0.001050</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow43_col19\" class=\"data row43 col19\" >0.001198</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col0\" class=\"data row44 col0\" >0.003743</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col1\" class=\"data row44 col1\" >0.005748</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col2\" class=\"data row44 col2\" >0.004411</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col3\" class=\"data row44 col3\" >0.018645</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col4\" class=\"data row44 col4\" >0.042079</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col5\" class=\"data row44 col5\" >0.029864</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col6\" class=\"data row44 col6\" >0.039454</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col7\" class=\"data row44 col7\" >0.000149</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col8\" class=\"data row44 col8\" >0.001507</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col9\" class=\"data row44 col9\" >0.000130</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col10\" class=\"data row44 col10\" >0.001469</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col11\" class=\"data row44 col11\" >0.002227</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col12\" class=\"data row44 col12\" >0.004543</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col13\" class=\"data row44 col13\" >0.012533</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col14\" class=\"data row44 col14\" >0.000728</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col15\" class=\"data row44 col15\" >0.000797</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col16\" class=\"data row44 col16\" >0.000339</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col17\" class=\"data row44 col17\" >0.000759</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col18\" class=\"data row44 col18\" >0.000372</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow44_col19\" class=\"data row44 col19\" >0.002383</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col0\" class=\"data row45 col0\" >0.003914</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col1\" class=\"data row45 col1\" >0.006201</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col2\" class=\"data row45 col2\" >0.004117</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col3\" class=\"data row45 col3\" >0.019418</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col4\" class=\"data row45 col4\" >0.043225</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col5\" class=\"data row45 col5\" >0.064156</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col6\" class=\"data row45 col6\" >0.068679</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col7\" class=\"data row45 col7\" >0.000179</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col8\" class=\"data row45 col8\" >0.001407</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col9\" class=\"data row45 col9\" >0.000196</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col10\" class=\"data row45 col10\" >0.000525</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col11\" class=\"data row45 col11\" >0.000306</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col12\" class=\"data row45 col12\" >0.005353</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col13\" class=\"data row45 col13\" >0.009589</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col14\" class=\"data row45 col14\" >0.001901</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col15\" class=\"data row45 col15\" >0.000546</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col16\" class=\"data row45 col16\" >0.001567</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col17\" class=\"data row45 col17\" >0.001226</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col18\" class=\"data row45 col18\" >0.001724</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow45_col19\" class=\"data row45 col19\" >0.001294</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col0\" class=\"data row46 col0\" >0.003735</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col1\" class=\"data row46 col1\" >0.003359</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col2\" class=\"data row46 col2\" >0.004371</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col3\" class=\"data row46 col3\" >0.018911</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col4\" class=\"data row46 col4\" >0.043728</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col5\" class=\"data row46 col5\" >0.050311</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col6\" class=\"data row46 col6\" >0.070377</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col7\" class=\"data row46 col7\" >0.000301</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col8\" class=\"data row46 col8\" >0.001079</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col9\" class=\"data row46 col9\" >0.000512</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col10\" class=\"data row46 col10\" >0.001090</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col11\" class=\"data row46 col11\" >0.004716</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col12\" class=\"data row46 col12\" >0.005941</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col13\" class=\"data row46 col13\" >0.010591</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col14\" class=\"data row46 col14\" >0.000939</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col15\" class=\"data row46 col15\" >0.000612</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col16\" class=\"data row46 col16\" >0.000232</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col17\" class=\"data row46 col17\" >0.001598</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col18\" class=\"data row46 col18\" >0.001478</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow46_col19\" class=\"data row46 col19\" >0.001070</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col0\" class=\"data row47 col0\" >0.003662</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col1\" class=\"data row47 col1\" >0.004040</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col2\" class=\"data row47 col2\" >0.004318</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col3\" class=\"data row47 col3\" >0.018374</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col4\" class=\"data row47 col4\" >0.046718</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col5\" class=\"data row47 col5\" >0.054130</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col6\" class=\"data row47 col6\" >0.055984</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col7\" class=\"data row47 col7\" >0.000164</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col8\" class=\"data row47 col8\" >0.001921</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col9\" class=\"data row47 col9\" >0.000119</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col10\" class=\"data row47 col10\" >0.001211</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col11\" class=\"data row47 col11\" >0.006207</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col12\" class=\"data row47 col12\" >0.002002</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col13\" class=\"data row47 col13\" >0.014844</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col14\" class=\"data row47 col14\" >0.003133</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col15\" class=\"data row47 col15\" >0.002061</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col16\" class=\"data row47 col16\" >0.002267</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col17\" class=\"data row47 col17\" >0.000939</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col18\" class=\"data row47 col18\" >0.000898</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow47_col19\" class=\"data row47 col19\" >0.001562</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col0\" class=\"data row48 col0\" >0.004011</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col1\" class=\"data row48 col1\" >0.005668</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col2\" class=\"data row48 col2\" >0.004265</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col3\" class=\"data row48 col3\" >0.020189</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col4\" class=\"data row48 col4\" >0.050623</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col5\" class=\"data row48 col5\" >0.078373</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col6\" class=\"data row48 col6\" >0.048631</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col7\" class=\"data row48 col7\" >0.000139</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col8\" class=\"data row48 col8\" >0.000700</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col9\" class=\"data row48 col9\" >0.000341</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col10\" class=\"data row48 col10\" >0.001678</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col11\" class=\"data row48 col11\" >0.007042</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col12\" class=\"data row48 col12\" >0.007299</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col13\" class=\"data row48 col13\" >0.009188</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col14\" class=\"data row48 col14\" >0.001989</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col15\" class=\"data row48 col15\" >0.002122</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col16\" class=\"data row48 col16\" >0.001555</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col17\" class=\"data row48 col17\" >0.001112</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col18\" class=\"data row48 col18\" >0.001406</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow48_col19\" class=\"data row48 col19\" >0.002167</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89blevel0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col0\" class=\"data row49 col0\" >0.005626</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col1\" class=\"data row49 col1\" >0.005600</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col2\" class=\"data row49 col2\" >0.004909</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col3\" class=\"data row49 col3\" >0.021977</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col4\" class=\"data row49 col4\" >0.045312</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col5\" class=\"data row49 col5\" >0.039043</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col6\" class=\"data row49 col6\" >0.022153</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col7\" class=\"data row49 col7\" >0.000093</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col8\" class=\"data row49 col8\" >0.001612</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col9\" class=\"data row49 col9\" >0.000376</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col10\" class=\"data row49 col10\" >0.001327</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col11\" class=\"data row49 col11\" >0.004900</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col12\" class=\"data row49 col12\" >0.005761</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col13\" class=\"data row49 col13\" >0.012774</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col14\" class=\"data row49 col14\" >0.000429</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col15\" class=\"data row49 col15\" >0.000727</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col16\" class=\"data row49 col16\" >0.000103</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col17\" class=\"data row49 col17\" >0.000494</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col18\" class=\"data row49 col18\" >0.001844</td>\n",
       "                        <td id=\"T_1ffd397e_e0ea_11ea_b7c7_6c96cfdbc89brow49_col19\" class=\"data row49 col19\" >0.001277</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1232ffa50>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.style.background_gradient(cmap='Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1XBPFO</th>\n",
       "      <th>2XBPFO</th>\n",
       "      <th>3XBPFO</th>\n",
       "      <th>4XBPFO</th>\n",
       "      <th>5XBPFO</th>\n",
       "      <th>6XBPFO</th>\n",
       "      <th>7XBPFO</th>\n",
       "      <th>8XBPFO</th>\n",
       "      <th>9XBPFO</th>\n",
       "      <th>10XBPFO</th>\n",
       "      <th>11XBPFO</th>\n",
       "      <th>12XBPFO</th>\n",
       "      <th>13XBPFO</th>\n",
       "      <th>14XBPFO</th>\n",
       "      <th>15XBPFO</th>\n",
       "      <th>16XBPFO</th>\n",
       "      <th>17XBPFO</th>\n",
       "      <th>18XBPFO</th>\n",
       "      <th>19XBPFO</th>\n",
       "      <th>20XBPFO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.029834</td>\n",
       "      <td>0.007084</td>\n",
       "      <td>0.009531</td>\n",
       "      <td>0.009737</td>\n",
       "      <td>0.014158</td>\n",
       "      <td>0.064604</td>\n",
       "      <td>0.023121</td>\n",
       "      <td>0.032608</td>\n",
       "      <td>0.018234</td>\n",
       "      <td>0.018779</td>\n",
       "      <td>0.013221</td>\n",
       "      <td>0.010449</td>\n",
       "      <td>0.018306</td>\n",
       "      <td>0.005662</td>\n",
       "      <td>0.004073</td>\n",
       "      <td>0.005288</td>\n",
       "      <td>0.002839</td>\n",
       "      <td>0.002094</td>\n",
       "      <td>0.003423</td>\n",
       "      <td>0.004560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.020265</td>\n",
       "      <td>0.003323</td>\n",
       "      <td>0.005088</td>\n",
       "      <td>0.006037</td>\n",
       "      <td>0.016217</td>\n",
       "      <td>0.020485</td>\n",
       "      <td>0.016753</td>\n",
       "      <td>0.024291</td>\n",
       "      <td>0.011121</td>\n",
       "      <td>0.014381</td>\n",
       "      <td>0.009809</td>\n",
       "      <td>0.004967</td>\n",
       "      <td>0.008100</td>\n",
       "      <td>0.004512</td>\n",
       "      <td>0.002427</td>\n",
       "      <td>0.002892</td>\n",
       "      <td>0.001705</td>\n",
       "      <td>0.001296</td>\n",
       "      <td>0.002142</td>\n",
       "      <td>0.003253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.003551</td>\n",
       "      <td>0.001324</td>\n",
       "      <td>0.001907</td>\n",
       "      <td>0.002331</td>\n",
       "      <td>0.001489</td>\n",
       "      <td>0.023108</td>\n",
       "      <td>0.003235</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>0.000249</td>\n",
       "      <td>0.000306</td>\n",
       "      <td>0.001684</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000429</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>0.000103</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000372</td>\n",
       "      <td>0.000633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.010921</td>\n",
       "      <td>0.004419</td>\n",
       "      <td>0.004381</td>\n",
       "      <td>0.005038</td>\n",
       "      <td>0.003848</td>\n",
       "      <td>0.050724</td>\n",
       "      <td>0.010648</td>\n",
       "      <td>0.011985</td>\n",
       "      <td>0.011242</td>\n",
       "      <td>0.006262</td>\n",
       "      <td>0.006054</td>\n",
       "      <td>0.007045</td>\n",
       "      <td>0.015964</td>\n",
       "      <td>0.002727</td>\n",
       "      <td>0.001923</td>\n",
       "      <td>0.003111</td>\n",
       "      <td>0.001486</td>\n",
       "      <td>0.001127</td>\n",
       "      <td>0.001577</td>\n",
       "      <td>0.002418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.028070</td>\n",
       "      <td>0.006357</td>\n",
       "      <td>0.010012</td>\n",
       "      <td>0.007953</td>\n",
       "      <td>0.007007</td>\n",
       "      <td>0.063612</td>\n",
       "      <td>0.018352</td>\n",
       "      <td>0.032751</td>\n",
       "      <td>0.018799</td>\n",
       "      <td>0.017902</td>\n",
       "      <td>0.011401</td>\n",
       "      <td>0.011080</td>\n",
       "      <td>0.019409</td>\n",
       "      <td>0.004461</td>\n",
       "      <td>0.003743</td>\n",
       "      <td>0.005407</td>\n",
       "      <td>0.002649</td>\n",
       "      <td>0.001715</td>\n",
       "      <td>0.003096</td>\n",
       "      <td>0.003739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.046078</td>\n",
       "      <td>0.008919</td>\n",
       "      <td>0.014187</td>\n",
       "      <td>0.012964</td>\n",
       "      <td>0.012136</td>\n",
       "      <td>0.076953</td>\n",
       "      <td>0.028023</td>\n",
       "      <td>0.050025</td>\n",
       "      <td>0.027701</td>\n",
       "      <td>0.030411</td>\n",
       "      <td>0.019535</td>\n",
       "      <td>0.013690</td>\n",
       "      <td>0.023604</td>\n",
       "      <td>0.006227</td>\n",
       "      <td>0.005545</td>\n",
       "      <td>0.007745</td>\n",
       "      <td>0.004099</td>\n",
       "      <td>0.002841</td>\n",
       "      <td>0.004539</td>\n",
       "      <td>0.005682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.068358</td>\n",
       "      <td>0.015007</td>\n",
       "      <td>0.019220</td>\n",
       "      <td>0.021977</td>\n",
       "      <td>0.050623</td>\n",
       "      <td>0.108730</td>\n",
       "      <td>0.070377</td>\n",
       "      <td>0.091804</td>\n",
       "      <td>0.042343</td>\n",
       "      <td>0.049129</td>\n",
       "      <td>0.037506</td>\n",
       "      <td>0.020911</td>\n",
       "      <td>0.031165</td>\n",
       "      <td>0.018869</td>\n",
       "      <td>0.011012</td>\n",
       "      <td>0.011975</td>\n",
       "      <td>0.006302</td>\n",
       "      <td>0.006511</td>\n",
       "      <td>0.008522</td>\n",
       "      <td>0.013338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          1XBPFO     2XBPFO     3XBPFO     4XBPFO     5XBPFO     6XBPFO  \\\n",
       "count  50.000000  50.000000  50.000000  50.000000  50.000000  50.000000   \n",
       "mean    0.029834   0.007084   0.009531   0.009737   0.014158   0.064604   \n",
       "std     0.020265   0.003323   0.005088   0.006037   0.016217   0.020485   \n",
       "min     0.003551   0.001324   0.001907   0.002331   0.001489   0.023108   \n",
       "25%     0.010921   0.004419   0.004381   0.005038   0.003848   0.050724   \n",
       "50%     0.028070   0.006357   0.010012   0.007953   0.007007   0.063612   \n",
       "75%     0.046078   0.008919   0.014187   0.012964   0.012136   0.076953   \n",
       "max     0.068358   0.015007   0.019220   0.021977   0.050623   0.108730   \n",
       "\n",
       "          7XBPFO     8XBPFO     9XBPFO    10XBPFO    11XBPFO    12XBPFO  \\\n",
       "count  50.000000  50.000000  50.000000  50.000000  50.000000  50.000000   \n",
       "mean    0.023121   0.032608   0.018234   0.018779   0.013221   0.010449   \n",
       "std     0.016753   0.024291   0.011121   0.014381   0.009809   0.004967   \n",
       "min     0.003235   0.000008   0.000700   0.000119   0.000249   0.000306   \n",
       "25%     0.010648   0.011985   0.011242   0.006262   0.006054   0.007045   \n",
       "50%     0.018352   0.032751   0.018799   0.017902   0.011401   0.011080   \n",
       "75%     0.028023   0.050025   0.027701   0.030411   0.019535   0.013690   \n",
       "max     0.070377   0.091804   0.042343   0.049129   0.037506   0.020911   \n",
       "\n",
       "         13XBPFO    14XBPFO    15XBPFO    16XBPFO    17XBPFO    18XBPFO  \\\n",
       "count  50.000000  50.000000  50.000000  50.000000  50.000000  50.000000   \n",
       "mean    0.018306   0.005662   0.004073   0.005288   0.002839   0.002094   \n",
       "std     0.008100   0.004512   0.002427   0.002892   0.001705   0.001296   \n",
       "min     0.001684   0.000213   0.000429   0.000234   0.000103   0.000217   \n",
       "25%     0.015964   0.002727   0.001923   0.003111   0.001486   0.001127   \n",
       "50%     0.019409   0.004461   0.003743   0.005407   0.002649   0.001715   \n",
       "75%     0.023604   0.006227   0.005545   0.007745   0.004099   0.002841   \n",
       "max     0.031165   0.018869   0.011012   0.011975   0.006302   0.006511   \n",
       "\n",
       "         19XBPFO    20XBPFO  \n",
       "count  50.000000  50.000000  \n",
       "mean    0.003423   0.004560  \n",
       "std     0.002142   0.003253  \n",
       "min     0.000372   0.000633  \n",
       "25%     0.001577   0.002418  \n",
       "50%     0.003096   0.003739  \n",
       "75%     0.004539   0.005682  \n",
       "max     0.008522   0.013338  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x125370150>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data=df.corr(),cbar_kws={'label':'Pearson Correlation'},cmap='Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 877x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "col = ['1XBPFO', '5XBPFO', '7XBPFO', '14XBPFO','labels']\n",
    "df['labels'] = ['Baseline' if i==0 else 'Faulty' for i in labels]\n",
    "sns.pairplot(df[col],hue='labels');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Machine Learning with XGBoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.loc[:,'1XBPFO':'20XBPFO'].values\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, labels, test_size=0.2, random_state=27,stratify=labels )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "xgboost = xgb.XGBClassifier().fit(X_train,y_train)\n",
    "y_pred = xgboost.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy on the test set : 1.0\n",
      "F1 score the test set : 1.0\n",
      "Precision score the test set : 1.0\n",
      "Recall score the test set : 1.0\n"
     ]
    }
   ],
   "source": [
    "print(f'Accuracy on the test set : {accuracy_score(y_test,y_pred)}')\n",
    "print(f'F1 score the test set : {f1_score(y_test,y_pred)}')\n",
    "print(f'Precision score the test set : {precision_score(y_test,y_pred)}')\n",
    "print(f'Recall score the test set : {recall_score(y_test,y_pred)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* A Perfect score on the test set."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.barh(cols,xgboost.feature_importances_)\n",
    "plt.xlabel('Feature Importance');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": true,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
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