1.2-AED-FraudDetection.ipynb

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        "#Análise Exploratória Descritiva - Dataset Fraud Detection\n",
        "\n",
        "Este dataset é encontrado originalmente na competição do Kaggle\n",
        "https://www.kaggle.com/datasets/whenamancodes/fraud-detection\n"
      ],
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from sklearn.model_selection import train_test_split"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"https://media.githubusercontent.com/media/diegonogare/MachineLearning/main/creditcard.csv\")"
      ],
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        "df.info()\n",
        "df.describe()\n",
        "df.head()"
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              "#T_bca86_row0_col3, #T_bca86_row0_col4, #T_bca86_row0_col6, #T_bca86_row0_col11, #T_bca86_row0_col13, #T_bca86_row0_col15, #T_bca86_row0_col20, #T_bca86_row0_col24, #T_bca86_row0_col25, #T_bca86_row0_col26, #T_bca86_row0_col27, #T_bca86_row0_col28, #T_bca86_row1_col21, #T_bca86_row2_col21, #T_bca86_row2_col29, #T_bca86_row3_col0, #T_bca86_row3_col21, #T_bca86_row4_col21, #T_bca86_row5_col21, #T_bca86_row6_col21, #T_bca86_row7_col21, #T_bca86_row8_col21, #T_bca86_row9_col21, #T_bca86_row10_col21, #T_bca86_row11_col21, #T_bca86_row12_col21, #T_bca86_row13_col21, #T_bca86_row14_col21, #T_bca86_row15_col21, #T_bca86_row16_col21, #T_bca86_row17_col21, #T_bca86_row17_col30, #T_bca86_row18_col21, #T_bca86_row19_col21, #T_bca86_row20_col21, #T_bca86_row22_col21, #T_bca86_row23_col21, #T_bca86_row24_col21, #T_bca86_row25_col21, #T_bca86_row26_col21, #T_bca86_row27_col21, #T_bca86_row28_col21, #T_bca86_row29_col1, #T_bca86_row29_col2, #T_bca86_row29_col5, #T_bca86_row29_col8, #T_bca86_row29_col19, #T_bca86_row29_col22, #T_bca86_row29_col23, #T_bca86_row30_col7, #T_bca86_row30_col9, #T_bca86_row30_col10, #T_bca86_row30_col12, #T_bca86_row30_col14, #T_bca86_row30_col16, #T_bca86_row30_col17, #T_bca86_row30_col18 {\n",
              "  background-color: #fff7fb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col5 {\n",
              "  background-color: #9ab8d8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col7 {\n",
              "  background-color: #d5d5e8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col8, #T_bca86_row1_col6, #T_bca86_row1_col13, #T_bca86_row1_col22, #T_bca86_row2_col6, #T_bca86_row2_col13, #T_bca86_row2_col22, #T_bca86_row3_col6, #T_bca86_row3_col13, #T_bca86_row3_col22, #T_bca86_row4_col6, #T_bca86_row4_col13, #T_bca86_row4_col22, #T_bca86_row5_col6, #T_bca86_row5_col13, #T_bca86_row5_col22, #T_bca86_row6_col13, #T_bca86_row6_col22, #T_bca86_row7_col6, #T_bca86_row7_col13, #T_bca86_row7_col22, #T_bca86_row8_col6, #T_bca86_row8_col13, #T_bca86_row8_col22, #T_bca86_row9_col6, #T_bca86_row9_col13, #T_bca86_row9_col22, #T_bca86_row10_col6, #T_bca86_row10_col13, #T_bca86_row10_col22, #T_bca86_row11_col6, #T_bca86_row11_col13, #T_bca86_row11_col22, #T_bca86_row12_col6, #T_bca86_row12_col13, #T_bca86_row12_col22, #T_bca86_row13_col6, #T_bca86_row13_col22, #T_bca86_row14_col6, #T_bca86_row14_col13, #T_bca86_row14_col22, #T_bca86_row15_col6, #T_bca86_row15_col13, #T_bca86_row15_col22, #T_bca86_row16_col6, #T_bca86_row16_col13, #T_bca86_row16_col22, #T_bca86_row17_col6, #T_bca86_row17_col13, #T_bca86_row17_col22, #T_bca86_row18_col6, #T_bca86_row18_col13, #T_bca86_row18_col22, #T_bca86_row19_col6, #T_bca86_row19_col13, #T_bca86_row19_col22, #T_bca86_row20_col6, #T_bca86_row20_col13, #T_bca86_row20_col22, #T_bca86_row21_col6, #T_bca86_row21_col13, #T_bca86_row21_col22, #T_bca86_row22_col6, #T_bca86_row22_col13, #T_bca86_row23_col6, #T_bca86_row23_col13, #T_bca86_row23_col22, #T_bca86_row24_col6, #T_bca86_row24_col13, #T_bca86_row24_col22, #T_bca86_row25_col6, #T_bca86_row25_col13, #T_bca86_row25_col22, #T_bca86_row26_col6, #T_bca86_row26_col13, #T_bca86_row26_col22, #T_bca86_row27_col6, #T_bca86_row27_col13, #T_bca86_row27_col22, #T_bca86_row28_col6, #T_bca86_row28_col13, #T_bca86_row28_col22, #T_bca86_row30_col22 {\n",
              "  background-color: #f6eff7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col9, #T_bca86_row0_col19 {\n",
              "  background-color: #f3edf5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col10, #T_bca86_row1_col12, #T_bca86_row2_col12, #T_bca86_row3_col12, #T_bca86_row4_col12, #T_bca86_row5_col12, #T_bca86_row6_col12, #T_bca86_row7_col12, #T_bca86_row8_col12, #T_bca86_row9_col12, #T_bca86_row10_col12, #T_bca86_row11_col12, #T_bca86_row13_col12, #T_bca86_row14_col12, #T_bca86_row15_col12, #T_bca86_row16_col12, #T_bca86_row17_col12, #T_bca86_row18_col12, #T_bca86_row19_col12, #T_bca86_row20_col12, #T_bca86_row21_col12, #T_bca86_row22_col12, #T_bca86_row23_col12, #T_bca86_row24_col12, #T_bca86_row25_col12, #T_bca86_row26_col12, #T_bca86_row27_col12, #T_bca86_row28_col12 {\n",
              "  background-color: #dad9ea;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col12, #T_bca86_row22_col29 {\n",
              "  background-color: #bdc8e1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col14, #T_bca86_row1_col7, #T_bca86_row2_col7, #T_bca86_row3_col7, #T_bca86_row4_col7, #T_bca86_row5_col7, #T_bca86_row6_col7, #T_bca86_row8_col7, #T_bca86_row9_col7, #T_bca86_row10_col7, #T_bca86_row11_col7, #T_bca86_row12_col7, #T_bca86_row13_col7, #T_bca86_row14_col7, #T_bca86_row15_col7, #T_bca86_row16_col7, #T_bca86_row17_col7, #T_bca86_row18_col7, #T_bca86_row19_col7, #T_bca86_row20_col7, #T_bca86_row21_col7, #T_bca86_row22_col7, #T_bca86_row23_col7, #T_bca86_row24_col7, #T_bca86_row25_col7, #T_bca86_row26_col7, #T_bca86_row27_col7, #T_bca86_row28_col7, #T_bca86_row30_col3 {\n",
              "  background-color: #e5e1ef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col16, #T_bca86_row5_col30, #T_bca86_row9_col30 {\n",
              "  background-color: #e1dfed;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col17, #T_bca86_row1_col25, #T_bca86_row2_col25, #T_bca86_row3_col25, #T_bca86_row4_col25, #T_bca86_row5_col25, #T_bca86_row6_col25, #T_bca86_row7_col25, #T_bca86_row8_col25, #T_bca86_row9_col25, #T_bca86_row10_col25, #T_bca86_row11_col25, #T_bca86_row12_col25, #T_bca86_row13_col25, #T_bca86_row14_col25, #T_bca86_row15_col25, #T_bca86_row16_col25, #T_bca86_row17_col25, #T_bca86_row18_col25, #T_bca86_row19_col25, #T_bca86_row20_col25, #T_bca86_row21_col25, #T_bca86_row22_col25, #T_bca86_row23_col25, #T_bca86_row24_col25, #T_bca86_row26_col25, #T_bca86_row27_col25, #T_bca86_row28_col25 {\n",
              "  background-color: #dedcec;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col18 {\n",
              "  background-color: #e0dded;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col21, #T_bca86_row1_col20, #T_bca86_row2_col20, #T_bca86_row3_col20, #T_bca86_row4_col20, #T_bca86_row5_col20, #T_bca86_row6_col20, #T_bca86_row7_col20, #T_bca86_row8_col20, #T_bca86_row9_col20, #T_bca86_row10_col20, #T_bca86_row11_col20, #T_bca86_row12_col20, #T_bca86_row12_col30, #T_bca86_row13_col20, #T_bca86_row14_col20, #T_bca86_row15_col20, #T_bca86_row16_col20, #T_bca86_row17_col20, #T_bca86_row18_col20, #T_bca86_row19_col20, #T_bca86_row21_col20, #T_bca86_row22_col20, #T_bca86_row23_col20, #T_bca86_row24_col20, #T_bca86_row25_col20, #T_bca86_row26_col20, #T_bca86_row27_col20, #T_bca86_row28_col20, #T_bca86_row29_col9, #T_bca86_row30_col26 {\n",
              "  background-color: #f8f1f8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col22, #T_bca86_row1_col11, #T_bca86_row1_col29, #T_bca86_row2_col11, #T_bca86_row3_col11, #T_bca86_row4_col11, #T_bca86_row5_col11, #T_bca86_row6_col11, #T_bca86_row7_col11, #T_bca86_row8_col11, #T_bca86_row9_col11, #T_bca86_row10_col11, #T_bca86_row12_col11, #T_bca86_row13_col11, #T_bca86_row14_col11, #T_bca86_row15_col11, #T_bca86_row16_col11, #T_bca86_row17_col11, #T_bca86_row18_col11, #T_bca86_row19_col11, #T_bca86_row20_col11, #T_bca86_row21_col11, #T_bca86_row22_col11, #T_bca86_row23_col11, #T_bca86_row24_col11, #T_bca86_row25_col11, #T_bca86_row26_col11, #T_bca86_row27_col11, #T_bca86_row28_col11, #T_bca86_row29_col11, #T_bca86_row29_col12 {\n",
              "  background-color: #dcdaeb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col23, #T_bca86_row29_col3, #T_bca86_row29_col25, #T_bca86_row30_col15 {\n",
              "  background-color: #e7e3f0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row0_col30 {\n",
              "  background-color: #d3d4e7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col0 {\n",
              "  background-color: #a5bddb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col2, #T_bca86_row3_col2, #T_bca86_row4_col2, #T_bca86_row4_col30, #T_bca86_row5_col2, #T_bca86_row6_col2, #T_bca86_row7_col2, #T_bca86_row8_col2, #T_bca86_row9_col2, #T_bca86_row10_col2, #T_bca86_row11_col2, #T_bca86_row11_col29, #T_bca86_row12_col2, #T_bca86_row13_col2, #T_bca86_row14_col2, #T_bca86_row15_col2, #T_bca86_row15_col29, #T_bca86_row16_col2, #T_bca86_row16_col29, #T_bca86_row17_col2, #T_bca86_row18_col2, #T_bca86_row19_col2, #T_bca86_row20_col2, #T_bca86_row21_col2, #T_bca86_row22_col2, #T_bca86_row23_col2, #T_bca86_row24_col2, #T_bca86_row25_col2, #T_bca86_row26_col2, #T_bca86_row26_col29, #T_bca86_row27_col2, #T_bca86_row28_col2 {\n",
              "  background-color: #b0c2de;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col3, #T_bca86_row2_col3, #T_bca86_row4_col3, #T_bca86_row5_col3, #T_bca86_row6_col3, #T_bca86_row7_col3, #T_bca86_row8_col3, #T_bca86_row9_col3, #T_bca86_row10_col3, #T_bca86_row11_col3, #T_bca86_row12_col3, #T_bca86_row13_col3, #T_bca86_row14_col3, #T_bca86_row15_col3, #T_bca86_row16_col3, #T_bca86_row17_col3, #T_bca86_row18_col3, #T_bca86_row19_col3, #T_bca86_row20_col3, #T_bca86_row21_col3, #T_bca86_row22_col3, #T_bca86_row23_col3, #T_bca86_row24_col3, #T_bca86_row25_col3, #T_bca86_row26_col3, #T_bca86_row27_col3, #T_bca86_row28_col3 {\n",
              "  background-color: #c1cae2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col4, #T_bca86_row2_col4, #T_bca86_row3_col4, #T_bca86_row5_col4, #T_bca86_row5_col29, #T_bca86_row6_col4, #T_bca86_row7_col4, #T_bca86_row8_col4, #T_bca86_row9_col4, #T_bca86_row10_col4, #T_bca86_row11_col4, #T_bca86_row12_col4, #T_bca86_row13_col4, #T_bca86_row14_col4, #T_bca86_row15_col4, #T_bca86_row16_col4, #T_bca86_row17_col4, #T_bca86_row18_col4, #T_bca86_row19_col4, #T_bca86_row20_col4, #T_bca86_row21_col4, #T_bca86_row22_col4, #T_bca86_row23_col4, #T_bca86_row24_col4, #T_bca86_row25_col4, #T_bca86_row26_col4, #T_bca86_row27_col4, #T_bca86_row28_col4, #T_bca86_row29_col10 {\n",
              "  background-color: #f1ebf4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col8, #T_bca86_row2_col8, #T_bca86_row3_col8, #T_bca86_row4_col8, #T_bca86_row5_col8, #T_bca86_row6_col8, #T_bca86_row7_col8, #T_bca86_row9_col8, #T_bca86_row10_col8, #T_bca86_row11_col8, #T_bca86_row12_col8, #T_bca86_row13_col8, #T_bca86_row14_col8, #T_bca86_row15_col8, #T_bca86_row16_col8, #T_bca86_row17_col8, #T_bca86_row18_col8, #T_bca86_row19_col8, #T_bca86_row20_col8, #T_bca86_row21_col8, #T_bca86_row22_col8, #T_bca86_row23_col8, #T_bca86_row24_col8, #T_bca86_row25_col8, #T_bca86_row26_col8, #T_bca86_row27_col8, #T_bca86_row28_col8 {\n",
              "  background-color: #f1ebf5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col9, #T_bca86_row2_col9, #T_bca86_row3_col9, #T_bca86_row4_col9, #T_bca86_row5_col9, #T_bca86_row6_col9, #T_bca86_row7_col9, #T_bca86_row8_col9, #T_bca86_row10_col9, #T_bca86_row10_col30, #T_bca86_row11_col9, #T_bca86_row12_col9, #T_bca86_row13_col9, #T_bca86_row14_col9, #T_bca86_row15_col9, #T_bca86_row16_col9, #T_bca86_row17_col9, #T_bca86_row18_col9, #T_bca86_row19_col9, #T_bca86_row20_col9, #T_bca86_row21_col9, #T_bca86_row22_col9, #T_bca86_row23_col9, #T_bca86_row24_col9, #T_bca86_row25_col9, #T_bca86_row26_col9, #T_bca86_row27_col9, #T_bca86_row28_col9, #T_bca86_row30_col19 {\n",
              "  background-color: #f2ecf5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col10, #T_bca86_row2_col10, #T_bca86_row3_col10, #T_bca86_row4_col10, #T_bca86_row5_col10, #T_bca86_row6_col10, #T_bca86_row7_col10, #T_bca86_row8_col10, #T_bca86_row9_col10, #T_bca86_row11_col10, #T_bca86_row12_col10, #T_bca86_row13_col10, #T_bca86_row14_col10, #T_bca86_row15_col10, #T_bca86_row16_col10, #T_bca86_row17_col10, #T_bca86_row18_col10, #T_bca86_row19_col10, #T_bca86_row20_col10, #T_bca86_row21_col10, #T_bca86_row22_col10, #T_bca86_row23_col10, #T_bca86_row24_col10, #T_bca86_row25_col10, #T_bca86_row26_col10, #T_bca86_row27_col10, #T_bca86_row28_col10 {\n",
              "  background-color: #e0deed;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col14, #T_bca86_row2_col14, #T_bca86_row3_col14, #T_bca86_row4_col14, #T_bca86_row5_col14, #T_bca86_row6_col14, #T_bca86_row7_col14, #T_bca86_row8_col14, #T_bca86_row9_col14, #T_bca86_row10_col14, #T_bca86_row11_col14, #T_bca86_row12_col14, #T_bca86_row13_col14, #T_bca86_row15_col14, #T_bca86_row16_col14, #T_bca86_row17_col14, #T_bca86_row18_col14, #T_bca86_row19_col14, #T_bca86_row20_col14, #T_bca86_row21_col14, #T_bca86_row22_col14, #T_bca86_row23_col14, #T_bca86_row24_col14, #T_bca86_row25_col14, #T_bca86_row26_col14, #T_bca86_row27_col14, #T_bca86_row28_col14 {\n",
              "  background-color: #d4d4e8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col15, #T_bca86_row2_col15, #T_bca86_row3_col15, #T_bca86_row4_col15, #T_bca86_row5_col15, #T_bca86_row6_col15, #T_bca86_row7_col15, #T_bca86_row8_col15, #T_bca86_row9_col15, #T_bca86_row10_col15, #T_bca86_row11_col15, #T_bca86_row12_col15, #T_bca86_row13_col15, #T_bca86_row14_col15, #T_bca86_row16_col15, #T_bca86_row17_col15, #T_bca86_row18_col15, #T_bca86_row19_col15, #T_bca86_row20_col15, #T_bca86_row21_col15, #T_bca86_row22_col15, #T_bca86_row23_col15, #T_bca86_row24_col15, #T_bca86_row25_col15, #T_bca86_row26_col15, #T_bca86_row27_col15, #T_bca86_row28_col15, #T_bca86_row29_col15 {\n",
              "  background-color: #e6e2ef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col16, #T_bca86_row2_col16, #T_bca86_row3_col16, #T_bca86_row4_col16, #T_bca86_row5_col16, #T_bca86_row6_col16, #T_bca86_row7_col16, #T_bca86_row8_col16, #T_bca86_row9_col16, #T_bca86_row10_col16, #T_bca86_row11_col16, #T_bca86_row12_col16, #T_bca86_row13_col16, #T_bca86_row14_col16, #T_bca86_row15_col0, #T_bca86_row15_col16, #T_bca86_row17_col16, #T_bca86_row18_col16, #T_bca86_row19_col16, #T_bca86_row20_col16, #T_bca86_row21_col16, #T_bca86_row22_col16, #T_bca86_row23_col16, #T_bca86_row24_col16, #T_bca86_row25_col16, #T_bca86_row26_col16, #T_bca86_row27_col16, #T_bca86_row28_col16 {\n",
              "  background-color: #e3e0ee;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col17, #T_bca86_row2_col17, #T_bca86_row3_col17, #T_bca86_row4_col17, #T_bca86_row5_col17, #T_bca86_row6_col17, #T_bca86_row7_col17, #T_bca86_row8_col17, #T_bca86_row9_col17, #T_bca86_row10_col17, #T_bca86_row11_col17, #T_bca86_row12_col17, #T_bca86_row13_col0, #T_bca86_row13_col17, #T_bca86_row14_col17, #T_bca86_row15_col17, #T_bca86_row16_col17, #T_bca86_row18_col17, #T_bca86_row19_col17, #T_bca86_row20_col17, #T_bca86_row21_col17, #T_bca86_row22_col17, #T_bca86_row22_col30, #T_bca86_row23_col17, #T_bca86_row24_col17, #T_bca86_row25_col17, #T_bca86_row25_col30, #T_bca86_row26_col17, #T_bca86_row26_col30, #T_bca86_row27_col17, #T_bca86_row28_col17 {\n",
              "  background-color: #d1d2e6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col18, #T_bca86_row1_col23, #T_bca86_row2_col18, #T_bca86_row2_col23, #T_bca86_row3_col18, #T_bca86_row3_col23, #T_bca86_row3_col30, #T_bca86_row4_col18, #T_bca86_row4_col23, #T_bca86_row5_col18, #T_bca86_row5_col23, #T_bca86_row6_col18, #T_bca86_row6_col23, #T_bca86_row7_col18, #T_bca86_row7_col23, #T_bca86_row7_col30, #T_bca86_row8_col18, #T_bca86_row8_col23, #T_bca86_row9_col18, #T_bca86_row9_col23, #T_bca86_row10_col18, #T_bca86_row10_col23, #T_bca86_row11_col18, #T_bca86_row11_col23, #T_bca86_row12_col18, #T_bca86_row12_col23, #T_bca86_row13_col18, #T_bca86_row13_col23, #T_bca86_row14_col18, #T_bca86_row14_col23, #T_bca86_row15_col18, #T_bca86_row15_col23, #T_bca86_row16_col18, #T_bca86_row16_col23, #T_bca86_row16_col30, #T_bca86_row17_col18, #T_bca86_row17_col23, #T_bca86_row18_col23, #T_bca86_row19_col18, #T_bca86_row19_col23, #T_bca86_row20_col18, #T_bca86_row20_col23, #T_bca86_row21_col18, #T_bca86_row21_col23, #T_bca86_row22_col18, #T_bca86_row22_col23, #T_bca86_row23_col18, #T_bca86_row24_col18, #T_bca86_row24_col23, #T_bca86_row25_col18, #T_bca86_row25_col23, #T_bca86_row26_col18, #T_bca86_row26_col23, #T_bca86_row27_col18, #T_bca86_row27_col23, #T_bca86_row28_col18, #T_bca86_row28_col23, #T_bca86_row30_col1, #T_bca86_row30_col23 {\n",
              "  background-color: #f0eaf4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col19, #T_bca86_row2_col19, #T_bca86_row3_col19, #T_bca86_row4_col19, #T_bca86_row5_col19, #T_bca86_row6_col19, #T_bca86_row7_col19, #T_bca86_row8_col19, #T_bca86_row9_col19, #T_bca86_row10_col19, #T_bca86_row11_col19, #T_bca86_row12_col19, #T_bca86_row13_col19, #T_bca86_row14_col19, #T_bca86_row15_col19, #T_bca86_row16_col19, #T_bca86_row17_col19, #T_bca86_row18_col19, #T_bca86_row20_col19, #T_bca86_row21_col19, #T_bca86_row22_col19, #T_bca86_row23_col19, #T_bca86_row24_col19, #T_bca86_row25_col19, #T_bca86_row26_col19, #T_bca86_row27_col19, #T_bca86_row28_col19, #T_bca86_row30_col13 {\n",
              "  background-color: #f7f0f7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col24, #T_bca86_row2_col24, #T_bca86_row3_col24, #T_bca86_row4_col24, #T_bca86_row5_col24, #T_bca86_row6_col24, #T_bca86_row7_col24, #T_bca86_row8_col24, #T_bca86_row9_col24, #T_bca86_row10_col24, #T_bca86_row11_col24, #T_bca86_row12_col24, #T_bca86_row13_col24, #T_bca86_row14_col24, #T_bca86_row14_col30, #T_bca86_row15_col24, #T_bca86_row16_col24, #T_bca86_row17_col24, #T_bca86_row18_col24, #T_bca86_row19_col24, #T_bca86_row20_col24, #T_bca86_row21_col24, #T_bca86_row22_col24, #T_bca86_row23_col24, #T_bca86_row25_col24, #T_bca86_row26_col24, #T_bca86_row27_col24, #T_bca86_row28_col24, #T_bca86_row29_col28, #T_bca86_row30_col6, #T_bca86_row30_col28 {\n",
              "  background-color: #fdf5fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col26, #T_bca86_row2_col26, #T_bca86_row3_col26, #T_bca86_row4_col26, #T_bca86_row5_col26, #T_bca86_row6_col26, #T_bca86_row7_col26, #T_bca86_row8_col26, #T_bca86_row9_col26, #T_bca86_row10_col26, #T_bca86_row11_col26, #T_bca86_row12_col26, #T_bca86_row13_col26, #T_bca86_row14_col26, #T_bca86_row15_col26, #T_bca86_row16_col26, #T_bca86_row17_col26, #T_bca86_row18_col26, #T_bca86_row19_col26, #T_bca86_row20_col26, #T_bca86_row21_col26, #T_bca86_row22_col26, #T_bca86_row23_col26, #T_bca86_row24_col26, #T_bca86_row25_col26, #T_bca86_row27_col26, #T_bca86_row28_col26, #T_bca86_row30_col21 {\n",
              "  background-color: #f9f2f8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col27, #T_bca86_row2_col27, #T_bca86_row3_col27, #T_bca86_row4_col27, #T_bca86_row5_col27, #T_bca86_row6_col27, #T_bca86_row7_col27, #T_bca86_row8_col27, #T_bca86_row9_col27, #T_bca86_row10_col27, #T_bca86_row11_col27, #T_bca86_row12_col27, #T_bca86_row13_col27, #T_bca86_row14_col27, #T_bca86_row15_col27, #T_bca86_row16_col27, #T_bca86_row17_col27, #T_bca86_row18_col27, #T_bca86_row19_col27, #T_bca86_row20_col27, #T_bca86_row21_col27, #T_bca86_row22_col27, #T_bca86_row23_col27, #T_bca86_row24_col27, #T_bca86_row25_col27, #T_bca86_row26_col27, #T_bca86_row28_col27 {\n",
              "  background-color: #fef6fb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col28, #T_bca86_row2_col28, #T_bca86_row3_col28, #T_bca86_row4_col28, #T_bca86_row5_col28, #T_bca86_row6_col28, #T_bca86_row7_col28, #T_bca86_row8_col28, #T_bca86_row9_col28, #T_bca86_row10_col28, #T_bca86_row11_col28, #T_bca86_row12_col28, #T_bca86_row13_col28, #T_bca86_row14_col28, #T_bca86_row15_col28, #T_bca86_row16_col28, #T_bca86_row17_col28, #T_bca86_row18_col28, #T_bca86_row19_col28, #T_bca86_row20_col28, #T_bca86_row21_col28, #T_bca86_row22_col28, #T_bca86_row23_col28, #T_bca86_row24_col28, #T_bca86_row25_col28, #T_bca86_row26_col28, #T_bca86_row27_col28, #T_bca86_row30_col24 {\n",
              "  background-color: #fef6fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row1_col30 {\n",
              "  background-color: #e2dfee;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row2_col0, #T_bca86_row28_col0, #T_bca86_row29_col0, #T_bca86_row30_col0 {\n",
              "  background-color: #c4cbe3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row2_col1, #T_bca86_row3_col1, #T_bca86_row4_col1, #T_bca86_row5_col1, #T_bca86_row6_col1, #T_bca86_row7_col1, #T_bca86_row8_col1, #T_bca86_row9_col1, #T_bca86_row10_col1, #T_bca86_row11_col1, #T_bca86_row12_col1, #T_bca86_row13_col1, #T_bca86_row14_col1, #T_bca86_row15_col1, #T_bca86_row16_col1, #T_bca86_row17_col1, #T_bca86_row18_col1, #T_bca86_row19_col1, #T_bca86_row20_col1, #T_bca86_row21_col1, #T_bca86_row22_col1, #T_bca86_row23_col1, #T_bca86_row24_col1, #T_bca86_row25_col1, #T_bca86_row26_col1, #T_bca86_row27_col1, #T_bca86_row28_col1, #T_bca86_row29_col4 {\n",
              "  background-color: #dfddec;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row2_col30, #T_bca86_row19_col0, #T_bca86_row25_col29 {\n",
              "  background-color: #bbc7e0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row3_col29, #T_bca86_row6_col30, #T_bca86_row30_col5 {\n",
              "  background-color: #d9d8ea;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row4_col0 {\n",
              "  background-color: #d7d6e9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row4_col29 {\n",
              "  background-color: #97b7d7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row5_col0, #T_bca86_row21_col29 {\n",
              "  background-color: #96b6d7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row6_col0, #T_bca86_row28_col30, #T_bca86_row29_col17, #T_bca86_row29_col30 {\n",
              "  background-color: #d0d1e6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row6_col29 {\n",
              "  background-color: #79abd0;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_bca86_row7_col0, #T_bca86_row17_col29, #T_bca86_row28_col29 {\n",
              "  background-color: #adc1dd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row7_col29 {\n",
              "  background-color: #3f93c2;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_bca86_row8_col0, #T_bca86_row19_col30 {\n",
              "  background-color: #c9cee4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row8_col30, #T_bca86_row20_col0, #T_bca86_row20_col30, #T_bca86_row27_col30, #T_bca86_row29_col14 {\n",
              "  background-color: #cdd0e5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row9_col0, #T_bca86_row27_col0 {\n",
              "  background-color: #c2cbe2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row9_col29, #T_bca86_row10_col0 {\n",
              "  background-color: #b9c6e0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row11_col0 {\n",
              "  background-color: #ede7f2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row11_col30 {\n",
              "  background-color: #abbfdc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row12_col0 {\n",
              "  background-color: #a2bcda;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row13_col29, #T_bca86_row24_col29, #T_bca86_row30_col29 {\n",
              "  background-color: #afc1dd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row13_col30, #T_bca86_row15_col30, #T_bca86_row17_col0, #T_bca86_row23_col30 {\n",
              "  background-color: #d2d2e7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row14_col0 {\n",
              "  background-color: #d6d6e9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row14_col29, #T_bca86_row18_col29 {\n",
              "  background-color: #a8bedc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row16_col0 {\n",
              "  background-color: #bfc9e1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row18_col0 {\n",
              "  background-color: #acc0dd;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row18_col30, #T_bca86_row29_col16 {\n",
              "  background-color: #e4e1ef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row19_col29 {\n",
              "  background-color: #bcc7e1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row20_col29 {\n",
              "  background-color: #529bc7;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_bca86_row21_col0 {\n",
              "  background-color: #b7c5df;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row21_col30, #T_bca86_row23_col29 {\n",
              "  background-color: #c8cde4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row22_col0 {\n",
              "  background-color: #9ebad9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row23_col0 {\n",
              "  background-color: #b5c4df;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row24_col0 {\n",
              "  background-color: #c5cce3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row24_col30 {\n",
              "  background-color: #d2d3e7;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row25_col0, #T_bca86_row29_col18 {\n",
              "  background-color: #ebe6f2;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row26_col0 {\n",
              "  background-color: #cacee5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row27_col29 {\n",
              "  background-color: #a9bfdc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col6 {\n",
              "  background-color: #cccfe5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col7 {\n",
              "  background-color: #76aad0;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_bca86_row29_col13, #T_bca86_row30_col20 {\n",
              "  background-color: #f5eef6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col20 {\n",
              "  background-color: #a7bddb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col21 {\n",
              "  background-color: #efe9f3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col24, #T_bca86_row30_col27 {\n",
              "  background-color: #fcf4fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col26 {\n",
              "  background-color: #faf2f8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row29_col27 {\n",
              "  background-color: #faf3f9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row30_col2 {\n",
              "  background-color: #99b8d8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row30_col4 {\n",
              "  background-color: #d8d7e9;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row30_col8 {\n",
              "  background-color: #eee9f3;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row30_col11 {\n",
              "  background-color: #b8c6e0;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_bca86_row30_col25 {\n",
              "  background-color: #dddbec;\n",
              "  color: #000000;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_bca86_\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th class=\"col_heading level0 col0\" >Time</th>\n",
              "      <th class=\"col_heading level0 col1\" >V1</th>\n",
              "      <th class=\"col_heading level0 col2\" >V2</th>\n",
              "      <th class=\"col_heading level0 col3\" >V3</th>\n",
              "      <th class=\"col_heading level0 col4\" >V4</th>\n",
              "      <th class=\"col_heading level0 col5\" >V5</th>\n",
              "      <th class=\"col_heading level0 col6\" >V6</th>\n",
              "      <th class=\"col_heading level0 col7\" >V7</th>\n",
              "      <th class=\"col_heading level0 col8\" >V8</th>\n",
              "      <th class=\"col_heading level0 col9\" >V9</th>\n",
              "      <th class=\"col_heading level0 col10\" >V10</th>\n",
              "      <th class=\"col_heading level0 col11\" >V11</th>\n",
              "      <th class=\"col_heading level0 col12\" >V12</th>\n",
              "      <th class=\"col_heading level0 col13\" >V13</th>\n",
              "      <th class=\"col_heading level0 col14\" >V14</th>\n",
              "      <th class=\"col_heading level0 col15\" >V15</th>\n",
              "      <th class=\"col_heading level0 col16\" >V16</th>\n",
              "      <th class=\"col_heading level0 col17\" >V17</th>\n",
              "      <th class=\"col_heading level0 col18\" >V18</th>\n",
              "      <th class=\"col_heading level0 col19\" >V19</th>\n",
              "      <th class=\"col_heading level0 col20\" >V20</th>\n",
              "      <th class=\"col_heading level0 col21\" >V21</th>\n",
              "      <th class=\"col_heading level0 col22\" >V22</th>\n",
              "      <th class=\"col_heading level0 col23\" >V23</th>\n",
              "      <th class=\"col_heading level0 col24\" >V24</th>\n",
              "      <th class=\"col_heading level0 col25\" >V25</th>\n",
              "      <th class=\"col_heading level0 col26\" >V26</th>\n",
              "      <th class=\"col_heading level0 col27\" >V27</th>\n",
              "      <th class=\"col_heading level0 col28\" >V28</th>\n",
              "      <th class=\"col_heading level0 col29\" >Amount</th>\n",
              "      <th class=\"col_heading level0 col30\" >Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row0\" class=\"row_heading level0 row0\" >Time</th>\n",
              "      <td id=\"T_bca86_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row0_col1\" class=\"data row0 col1\" >0.117396</td>\n",
              "      <td id=\"T_bca86_row0_col2\" class=\"data row0 col2\" >-0.010593</td>\n",
              "      <td id=\"T_bca86_row0_col3\" class=\"data row0 col3\" >-0.419618</td>\n",
              "      <td id=\"T_bca86_row0_col4\" class=\"data row0 col4\" >-0.105260</td>\n",
              "      <td id=\"T_bca86_row0_col5\" class=\"data row0 col5\" >0.173072</td>\n",
              "      <td id=\"T_bca86_row0_col6\" class=\"data row0 col6\" >-0.063016</td>\n",
              "      <td id=\"T_bca86_row0_col7\" class=\"data row0 col7\" >0.084714</td>\n",
              "      <td id=\"T_bca86_row0_col8\" class=\"data row0 col8\" >-0.036949</td>\n",
              "      <td id=\"T_bca86_row0_col9\" class=\"data row0 col9\" >-0.008660</td>\n",
              "      <td id=\"T_bca86_row0_col10\" class=\"data row0 col10\" >0.030617</td>\n",
              "      <td id=\"T_bca86_row0_col11\" class=\"data row0 col11\" >-0.247689</td>\n",
              "      <td id=\"T_bca86_row0_col12\" class=\"data row0 col12\" >0.124348</td>\n",
              "      <td id=\"T_bca86_row0_col13\" class=\"data row0 col13\" >-0.065902</td>\n",
              "      <td id=\"T_bca86_row0_col14\" class=\"data row0 col14\" >-0.098757</td>\n",
              "      <td id=\"T_bca86_row0_col15\" class=\"data row0 col15\" >-0.183453</td>\n",
              "      <td id=\"T_bca86_row0_col16\" class=\"data row0 col16\" >0.011903</td>\n",
              "      <td id=\"T_bca86_row0_col17\" class=\"data row0 col17\" >-0.073297</td>\n",
              "      <td id=\"T_bca86_row0_col18\" class=\"data row0 col18\" >0.090438</td>\n",
              "      <td id=\"T_bca86_row0_col19\" class=\"data row0 col19\" >0.028975</td>\n",
              "      <td id=\"T_bca86_row0_col20\" class=\"data row0 col20\" >-0.050866</td>\n",
              "      <td id=\"T_bca86_row0_col21\" class=\"data row0 col21\" >0.044736</td>\n",
              "      <td id=\"T_bca86_row0_col22\" class=\"data row0 col22\" >0.144059</td>\n",
              "      <td id=\"T_bca86_row0_col23\" class=\"data row0 col23\" >0.051142</td>\n",
              "      <td id=\"T_bca86_row0_col24\" class=\"data row0 col24\" >-0.016182</td>\n",
              "      <td id=\"T_bca86_row0_col25\" class=\"data row0 col25\" >-0.233083</td>\n",
              "      <td id=\"T_bca86_row0_col26\" class=\"data row0 col26\" >-0.041407</td>\n",
              "      <td id=\"T_bca86_row0_col27\" class=\"data row0 col27\" >-0.005135</td>\n",
              "      <td id=\"T_bca86_row0_col28\" class=\"data row0 col28\" >-0.009413</td>\n",
              "      <td id=\"T_bca86_row0_col29\" class=\"data row0 col29\" >-0.010596</td>\n",
              "      <td id=\"T_bca86_row0_col30\" class=\"data row0 col30\" >-0.012323</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row1\" class=\"row_heading level0 row1\" >V1</th>\n",
              "      <td id=\"T_bca86_row1_col0\" class=\"data row1 col0\" >0.117396</td>\n",
              "      <td id=\"T_bca86_row1_col1\" class=\"data row1 col1\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row1_col2\" class=\"data row1 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col3\" class=\"data row1 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col4\" class=\"data row1 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col5\" class=\"data row1 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col6\" class=\"data row1 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col7\" class=\"data row1 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col8\" class=\"data row1 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col9\" class=\"data row1 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col10\" class=\"data row1 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col11\" class=\"data row1 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col12\" class=\"data row1 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col13\" class=\"data row1 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col14\" class=\"data row1 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col15\" class=\"data row1 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col16\" class=\"data row1 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col17\" class=\"data row1 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col18\" class=\"data row1 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col19\" class=\"data row1 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col20\" class=\"data row1 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col21\" class=\"data row1 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col22\" class=\"data row1 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col23\" class=\"data row1 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col24\" class=\"data row1 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col25\" class=\"data row1 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col26\" class=\"data row1 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col27\" class=\"data row1 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col28\" class=\"data row1 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row1_col29\" class=\"data row1 col29\" >-0.227709</td>\n",
              "      <td id=\"T_bca86_row1_col30\" class=\"data row1 col30\" >-0.101347</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row2\" class=\"row_heading level0 row2\" >V2</th>\n",
              "      <td id=\"T_bca86_row2_col0\" class=\"data row2 col0\" >-0.010593</td>\n",
              "      <td id=\"T_bca86_row2_col1\" class=\"data row2 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row2_col3\" class=\"data row2 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col4\" class=\"data row2 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col5\" class=\"data row2 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col6\" class=\"data row2 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col7\" class=\"data row2 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col8\" class=\"data row2 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col9\" class=\"data row2 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col10\" class=\"data row2 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col11\" class=\"data row2 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col12\" class=\"data row2 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col13\" class=\"data row2 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col14\" class=\"data row2 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col15\" class=\"data row2 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col16\" class=\"data row2 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col17\" class=\"data row2 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col18\" class=\"data row2 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col19\" class=\"data row2 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col20\" class=\"data row2 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col21\" class=\"data row2 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col22\" class=\"data row2 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col23\" class=\"data row2 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col24\" class=\"data row2 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col25\" class=\"data row2 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col26\" class=\"data row2 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col27\" class=\"data row2 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col28\" class=\"data row2 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row2_col29\" class=\"data row2 col29\" >-0.531409</td>\n",
              "      <td id=\"T_bca86_row2_col30\" class=\"data row2 col30\" >0.091289</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row3\" class=\"row_heading level0 row3\" >V3</th>\n",
              "      <td id=\"T_bca86_row3_col0\" class=\"data row3 col0\" >-0.419618</td>\n",
              "      <td id=\"T_bca86_row3_col1\" class=\"data row3 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col2\" class=\"data row3 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row3_col4\" class=\"data row3 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col5\" class=\"data row3 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col6\" class=\"data row3 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col7\" class=\"data row3 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col8\" class=\"data row3 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col9\" class=\"data row3 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col10\" class=\"data row3 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col11\" class=\"data row3 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col12\" class=\"data row3 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col13\" class=\"data row3 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col14\" class=\"data row3 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col15\" class=\"data row3 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col16\" class=\"data row3 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col17\" class=\"data row3 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col18\" class=\"data row3 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col19\" class=\"data row3 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col20\" class=\"data row3 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col21\" class=\"data row3 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col22\" class=\"data row3 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col23\" class=\"data row3 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col24\" class=\"data row3 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col25\" class=\"data row3 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col26\" class=\"data row3 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col27\" class=\"data row3 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col28\" class=\"data row3 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row3_col29\" class=\"data row3 col29\" >-0.210880</td>\n",
              "      <td id=\"T_bca86_row3_col30\" class=\"data row3 col30\" >-0.192961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row4\" class=\"row_heading level0 row4\" >V4</th>\n",
              "      <td id=\"T_bca86_row4_col0\" class=\"data row4 col0\" >-0.105260</td>\n",
              "      <td id=\"T_bca86_row4_col1\" class=\"data row4 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col2\" class=\"data row4 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row4_col5\" class=\"data row4 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col6\" class=\"data row4 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col7\" class=\"data row4 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col8\" class=\"data row4 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col9\" class=\"data row4 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col10\" class=\"data row4 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col11\" class=\"data row4 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col12\" class=\"data row4 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col13\" class=\"data row4 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col14\" class=\"data row4 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col15\" class=\"data row4 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col16\" class=\"data row4 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col17\" class=\"data row4 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col18\" class=\"data row4 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col19\" class=\"data row4 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col20\" class=\"data row4 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col21\" class=\"data row4 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col22\" class=\"data row4 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col23\" class=\"data row4 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col24\" class=\"data row4 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col25\" class=\"data row4 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col26\" class=\"data row4 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col27\" class=\"data row4 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col28\" class=\"data row4 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row4_col29\" class=\"data row4 col29\" >0.098732</td>\n",
              "      <td id=\"T_bca86_row4_col30\" class=\"data row4 col30\" >0.133447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row5\" class=\"row_heading level0 row5\" >V5</th>\n",
              "      <td id=\"T_bca86_row5_col0\" class=\"data row5 col0\" >0.173072</td>\n",
              "      <td id=\"T_bca86_row5_col1\" class=\"data row5 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col3\" class=\"data row5 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col4\" class=\"data row5 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col5\" class=\"data row5 col5\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row5_col6\" class=\"data row5 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col7\" class=\"data row5 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col8\" class=\"data row5 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col9\" class=\"data row5 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col10\" class=\"data row5 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col11\" class=\"data row5 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col12\" class=\"data row5 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col13\" class=\"data row5 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col14\" class=\"data row5 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col15\" class=\"data row5 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col16\" class=\"data row5 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col17\" class=\"data row5 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col18\" class=\"data row5 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col19\" class=\"data row5 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col20\" class=\"data row5 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col21\" class=\"data row5 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col22\" class=\"data row5 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col23\" class=\"data row5 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col24\" class=\"data row5 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col25\" class=\"data row5 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col26\" class=\"data row5 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col27\" class=\"data row5 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col28\" class=\"data row5 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row5_col29\" class=\"data row5 col29\" >-0.386356</td>\n",
              "      <td id=\"T_bca86_row5_col30\" class=\"data row5 col30\" >-0.094974</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row6\" class=\"row_heading level0 row6\" >V6</th>\n",
              "      <td id=\"T_bca86_row6_col0\" class=\"data row6 col0\" >-0.063016</td>\n",
              "      <td id=\"T_bca86_row6_col1\" class=\"data row6 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col4\" class=\"data row6 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col5\" class=\"data row6 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col6\" class=\"data row6 col6\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row6_col7\" class=\"data row6 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col8\" class=\"data row6 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col9\" class=\"data row6 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col10\" class=\"data row6 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col11\" class=\"data row6 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col12\" class=\"data row6 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col13\" class=\"data row6 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col14\" class=\"data row6 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col15\" class=\"data row6 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col16\" class=\"data row6 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col17\" class=\"data row6 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col18\" class=\"data row6 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col19\" class=\"data row6 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col20\" class=\"data row6 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col21\" class=\"data row6 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col22\" class=\"data row6 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col23\" class=\"data row6 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col24\" class=\"data row6 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col25\" class=\"data row6 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col26\" class=\"data row6 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col27\" class=\"data row6 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col28\" class=\"data row6 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row6_col29\" class=\"data row6 col29\" >0.215981</td>\n",
              "      <td id=\"T_bca86_row6_col30\" class=\"data row6 col30\" >-0.043643</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row7\" class=\"row_heading level0 row7\" >V7</th>\n",
              "      <td id=\"T_bca86_row7_col0\" class=\"data row7 col0\" >0.084714</td>\n",
              "      <td id=\"T_bca86_row7_col1\" class=\"data row7 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col2\" class=\"data row7 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col4\" class=\"data row7 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col5\" class=\"data row7 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col6\" class=\"data row7 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col7\" class=\"data row7 col7\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row7_col8\" class=\"data row7 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col9\" class=\"data row7 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col10\" class=\"data row7 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col11\" class=\"data row7 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col12\" class=\"data row7 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col13\" class=\"data row7 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col14\" class=\"data row7 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col15\" class=\"data row7 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col16\" class=\"data row7 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col17\" class=\"data row7 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col18\" class=\"data row7 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col19\" class=\"data row7 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col20\" class=\"data row7 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col21\" class=\"data row7 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col22\" class=\"data row7 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col23\" class=\"data row7 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col24\" class=\"data row7 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col25\" class=\"data row7 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col26\" class=\"data row7 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col27\" class=\"data row7 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col28\" class=\"data row7 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row7_col29\" class=\"data row7 col29\" >0.397311</td>\n",
              "      <td id=\"T_bca86_row7_col30\" class=\"data row7 col30\" >-0.187257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row8\" class=\"row_heading level0 row8\" >V8</th>\n",
              "      <td id=\"T_bca86_row8_col0\" class=\"data row8 col0\" >-0.036949</td>\n",
              "      <td id=\"T_bca86_row8_col1\" class=\"data row8 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col2\" class=\"data row8 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col3\" class=\"data row8 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col5\" class=\"data row8 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col6\" class=\"data row8 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col7\" class=\"data row8 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col8\" class=\"data row8 col8\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row8_col9\" class=\"data row8 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col10\" class=\"data row8 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col11\" class=\"data row8 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col12\" class=\"data row8 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col13\" class=\"data row8 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col14\" class=\"data row8 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col15\" class=\"data row8 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col16\" class=\"data row8 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col17\" class=\"data row8 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col18\" class=\"data row8 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col19\" class=\"data row8 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col20\" class=\"data row8 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col21\" class=\"data row8 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col22\" class=\"data row8 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col23\" class=\"data row8 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col24\" class=\"data row8 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col25\" class=\"data row8 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col26\" class=\"data row8 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col27\" class=\"data row8 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col28\" class=\"data row8 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row8_col29\" class=\"data row8 col29\" >-0.103079</td>\n",
              "      <td id=\"T_bca86_row8_col30\" class=\"data row8 col30\" >0.019875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row9\" class=\"row_heading level0 row9\" >V9</th>\n",
              "      <td id=\"T_bca86_row9_col0\" class=\"data row9 col0\" >-0.008660</td>\n",
              "      <td id=\"T_bca86_row9_col1\" class=\"data row9 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col2\" class=\"data row9 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col3\" class=\"data row9 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col4\" class=\"data row9 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col5\" class=\"data row9 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col6\" class=\"data row9 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col7\" class=\"data row9 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col8\" class=\"data row9 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col9\" class=\"data row9 col9\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row9_col10\" class=\"data row9 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col11\" class=\"data row9 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col12\" class=\"data row9 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col13\" class=\"data row9 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col14\" class=\"data row9 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col15\" class=\"data row9 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col16\" class=\"data row9 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col17\" class=\"data row9 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col18\" class=\"data row9 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col19\" class=\"data row9 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col20\" class=\"data row9 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col21\" class=\"data row9 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col22\" class=\"data row9 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col23\" class=\"data row9 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col24\" class=\"data row9 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col25\" class=\"data row9 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col26\" class=\"data row9 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col27\" class=\"data row9 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col28\" class=\"data row9 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row9_col29\" class=\"data row9 col29\" >-0.044246</td>\n",
              "      <td id=\"T_bca86_row9_col30\" class=\"data row9 col30\" >-0.097733</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row10\" class=\"row_heading level0 row10\" >V10</th>\n",
              "      <td id=\"T_bca86_row10_col0\" class=\"data row10 col0\" >0.030617</td>\n",
              "      <td id=\"T_bca86_row10_col1\" class=\"data row10 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col2\" class=\"data row10 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col3\" class=\"data row10 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col4\" class=\"data row10 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col5\" class=\"data row10 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col6\" class=\"data row10 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col7\" class=\"data row10 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col8\" class=\"data row10 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col9\" class=\"data row10 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col10\" class=\"data row10 col10\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row10_col11\" class=\"data row10 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col12\" class=\"data row10 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col13\" class=\"data row10 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col14\" class=\"data row10 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col15\" class=\"data row10 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col16\" class=\"data row10 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col17\" class=\"data row10 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col18\" class=\"data row10 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col19\" class=\"data row10 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col20\" class=\"data row10 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col21\" class=\"data row10 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col22\" class=\"data row10 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col23\" class=\"data row10 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col24\" class=\"data row10 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col25\" class=\"data row10 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col26\" class=\"data row10 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col27\" class=\"data row10 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col28\" class=\"data row10 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row10_col29\" class=\"data row10 col29\" >-0.101502</td>\n",
              "      <td id=\"T_bca86_row10_col30\" class=\"data row10 col30\" >-0.216883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row11\" class=\"row_heading level0 row11\" >V11</th>\n",
              "      <td id=\"T_bca86_row11_col0\" class=\"data row11 col0\" >-0.247689</td>\n",
              "      <td id=\"T_bca86_row11_col1\" class=\"data row11 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col2\" class=\"data row11 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col3\" class=\"data row11 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col4\" class=\"data row11 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col5\" class=\"data row11 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col6\" class=\"data row11 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col7\" class=\"data row11 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col8\" class=\"data row11 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col9\" class=\"data row11 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col10\" class=\"data row11 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col11\" class=\"data row11 col11\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row11_col12\" class=\"data row11 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col13\" class=\"data row11 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col14\" class=\"data row11 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col15\" class=\"data row11 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col16\" class=\"data row11 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col17\" class=\"data row11 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col18\" class=\"data row11 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col19\" class=\"data row11 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col20\" class=\"data row11 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col21\" class=\"data row11 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col22\" class=\"data row11 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col23\" class=\"data row11 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col24\" class=\"data row11 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col25\" class=\"data row11 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col26\" class=\"data row11 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col27\" class=\"data row11 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col28\" class=\"data row11 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row11_col29\" class=\"data row11 col29\" >0.000104</td>\n",
              "      <td id=\"T_bca86_row11_col30\" class=\"data row11 col30\" >0.154876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row12\" class=\"row_heading level0 row12\" >V12</th>\n",
              "      <td id=\"T_bca86_row12_col0\" class=\"data row12 col0\" >0.124348</td>\n",
              "      <td id=\"T_bca86_row12_col1\" class=\"data row12 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col2\" class=\"data row12 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col3\" class=\"data row12 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col4\" class=\"data row12 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col5\" class=\"data row12 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col6\" class=\"data row12 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col7\" class=\"data row12 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col8\" class=\"data row12 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col9\" class=\"data row12 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col10\" class=\"data row12 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col11\" class=\"data row12 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col12\" class=\"data row12 col12\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row12_col13\" class=\"data row12 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col14\" class=\"data row12 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col15\" class=\"data row12 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col16\" class=\"data row12 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col17\" class=\"data row12 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col18\" class=\"data row12 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col19\" class=\"data row12 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col20\" class=\"data row12 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col21\" class=\"data row12 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col22\" class=\"data row12 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col23\" class=\"data row12 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col24\" class=\"data row12 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col25\" class=\"data row12 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col26\" class=\"data row12 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col27\" class=\"data row12 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col28\" class=\"data row12 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row12_col29\" class=\"data row12 col29\" >-0.009542</td>\n",
              "      <td id=\"T_bca86_row12_col30\" class=\"data row12 col30\" >-0.260593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row13\" class=\"row_heading level0 row13\" >V13</th>\n",
              "      <td id=\"T_bca86_row13_col0\" class=\"data row13 col0\" >-0.065902</td>\n",
              "      <td id=\"T_bca86_row13_col1\" class=\"data row13 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col2\" class=\"data row13 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col3\" class=\"data row13 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col4\" class=\"data row13 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col5\" class=\"data row13 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col6\" class=\"data row13 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col7\" class=\"data row13 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col8\" class=\"data row13 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col9\" class=\"data row13 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col10\" class=\"data row13 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col11\" class=\"data row13 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col12\" class=\"data row13 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col13\" class=\"data row13 col13\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row13_col14\" class=\"data row13 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col15\" class=\"data row13 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col16\" class=\"data row13 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col17\" class=\"data row13 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col18\" class=\"data row13 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col19\" class=\"data row13 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col20\" class=\"data row13 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col21\" class=\"data row13 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col22\" class=\"data row13 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col23\" class=\"data row13 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col24\" class=\"data row13 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col25\" class=\"data row13 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col26\" class=\"data row13 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col27\" class=\"data row13 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col28\" class=\"data row13 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row13_col29\" class=\"data row13 col29\" >0.005293</td>\n",
              "      <td id=\"T_bca86_row13_col30\" class=\"data row13 col30\" >-0.004570</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row14\" class=\"row_heading level0 row14\" >V14</th>\n",
              "      <td id=\"T_bca86_row14_col0\" class=\"data row14 col0\" >-0.098757</td>\n",
              "      <td id=\"T_bca86_row14_col1\" class=\"data row14 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col2\" class=\"data row14 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col3\" class=\"data row14 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col4\" class=\"data row14 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col5\" class=\"data row14 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col6\" class=\"data row14 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col7\" class=\"data row14 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col8\" class=\"data row14 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col9\" class=\"data row14 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col10\" class=\"data row14 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col11\" class=\"data row14 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col12\" class=\"data row14 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col13\" class=\"data row14 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col14\" class=\"data row14 col14\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row14_col15\" class=\"data row14 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col16\" class=\"data row14 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col17\" class=\"data row14 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col18\" class=\"data row14 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col19\" class=\"data row14 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col20\" class=\"data row14 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col21\" class=\"data row14 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col22\" class=\"data row14 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col23\" class=\"data row14 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col24\" class=\"data row14 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col25\" class=\"data row14 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col26\" class=\"data row14 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col27\" class=\"data row14 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col28\" class=\"data row14 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row14_col29\" class=\"data row14 col29\" >0.033751</td>\n",
              "      <td id=\"T_bca86_row14_col30\" class=\"data row14 col30\" >-0.302544</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row15\" class=\"row_heading level0 row15\" >V15</th>\n",
              "      <td id=\"T_bca86_row15_col0\" class=\"data row15 col0\" >-0.183453</td>\n",
              "      <td id=\"T_bca86_row15_col1\" class=\"data row15 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col2\" class=\"data row15 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col3\" class=\"data row15 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col4\" class=\"data row15 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col5\" class=\"data row15 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col6\" class=\"data row15 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col7\" class=\"data row15 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col8\" class=\"data row15 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col9\" class=\"data row15 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col10\" class=\"data row15 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col11\" class=\"data row15 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col12\" class=\"data row15 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col13\" class=\"data row15 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col14\" class=\"data row15 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col15\" class=\"data row15 col15\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row15_col16\" class=\"data row15 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col17\" class=\"data row15 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col18\" class=\"data row15 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col19\" class=\"data row15 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col20\" class=\"data row15 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col21\" class=\"data row15 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col22\" class=\"data row15 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col23\" class=\"data row15 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col24\" class=\"data row15 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col25\" class=\"data row15 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col26\" class=\"data row15 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col27\" class=\"data row15 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col28\" class=\"data row15 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row15_col29\" class=\"data row15 col29\" >-0.002986</td>\n",
              "      <td id=\"T_bca86_row15_col30\" class=\"data row15 col30\" >-0.004223</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row16\" class=\"row_heading level0 row16\" >V16</th>\n",
              "      <td id=\"T_bca86_row16_col0\" class=\"data row16 col0\" >0.011903</td>\n",
              "      <td id=\"T_bca86_row16_col1\" class=\"data row16 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col2\" class=\"data row16 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col3\" class=\"data row16 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col4\" class=\"data row16 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col5\" class=\"data row16 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col6\" class=\"data row16 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col7\" class=\"data row16 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col8\" class=\"data row16 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col9\" class=\"data row16 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col10\" class=\"data row16 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col11\" class=\"data row16 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col12\" class=\"data row16 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col13\" class=\"data row16 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col14\" class=\"data row16 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col15\" class=\"data row16 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col16\" class=\"data row16 col16\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row16_col17\" class=\"data row16 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col18\" class=\"data row16 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col19\" class=\"data row16 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col20\" class=\"data row16 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col21\" class=\"data row16 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col22\" class=\"data row16 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col23\" class=\"data row16 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col24\" class=\"data row16 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col25\" class=\"data row16 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col26\" class=\"data row16 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col27\" class=\"data row16 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col28\" class=\"data row16 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row16_col29\" class=\"data row16 col29\" >-0.003910</td>\n",
              "      <td id=\"T_bca86_row16_col30\" class=\"data row16 col30\" >-0.196539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row17\" class=\"row_heading level0 row17\" >V17</th>\n",
              "      <td id=\"T_bca86_row17_col0\" class=\"data row17 col0\" >-0.073297</td>\n",
              "      <td id=\"T_bca86_row17_col1\" class=\"data row17 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col2\" class=\"data row17 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col3\" class=\"data row17 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col4\" class=\"data row17 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col5\" class=\"data row17 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col6\" class=\"data row17 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col7\" class=\"data row17 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col8\" class=\"data row17 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col9\" class=\"data row17 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col10\" class=\"data row17 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col11\" class=\"data row17 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col12\" class=\"data row17 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col13\" class=\"data row17 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col14\" class=\"data row17 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col15\" class=\"data row17 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col16\" class=\"data row17 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col17\" class=\"data row17 col17\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row17_col18\" class=\"data row17 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col19\" class=\"data row17 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col20\" class=\"data row17 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col21\" class=\"data row17 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col22\" class=\"data row17 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col23\" class=\"data row17 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col24\" class=\"data row17 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col25\" class=\"data row17 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col26\" class=\"data row17 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col27\" class=\"data row17 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col28\" class=\"data row17 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row17_col29\" class=\"data row17 col29\" >0.007309</td>\n",
              "      <td id=\"T_bca86_row17_col30\" class=\"data row17 col30\" >-0.326481</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row18\" class=\"row_heading level0 row18\" >V18</th>\n",
              "      <td id=\"T_bca86_row18_col0\" class=\"data row18 col0\" >0.090438</td>\n",
              "      <td id=\"T_bca86_row18_col1\" class=\"data row18 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col2\" class=\"data row18 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col3\" class=\"data row18 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col4\" class=\"data row18 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col5\" class=\"data row18 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col6\" class=\"data row18 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col7\" class=\"data row18 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col8\" class=\"data row18 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col9\" class=\"data row18 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col10\" class=\"data row18 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col11\" class=\"data row18 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col12\" class=\"data row18 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col13\" class=\"data row18 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col14\" class=\"data row18 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col15\" class=\"data row18 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col16\" class=\"data row18 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col17\" class=\"data row18 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col18\" class=\"data row18 col18\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row18_col19\" class=\"data row18 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col20\" class=\"data row18 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col21\" class=\"data row18 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col22\" class=\"data row18 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col23\" class=\"data row18 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col24\" class=\"data row18 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col25\" class=\"data row18 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col26\" class=\"data row18 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col27\" class=\"data row18 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col28\" class=\"data row18 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row18_col29\" class=\"data row18 col29\" >0.035650</td>\n",
              "      <td id=\"T_bca86_row18_col30\" class=\"data row18 col30\" >-0.111485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row19\" class=\"row_heading level0 row19\" >V19</th>\n",
              "      <td id=\"T_bca86_row19_col0\" class=\"data row19 col0\" >0.028975</td>\n",
              "      <td id=\"T_bca86_row19_col1\" class=\"data row19 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col2\" class=\"data row19 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col3\" class=\"data row19 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col4\" class=\"data row19 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col5\" class=\"data row19 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col6\" class=\"data row19 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col7\" class=\"data row19 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col8\" class=\"data row19 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col9\" class=\"data row19 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col10\" class=\"data row19 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col11\" class=\"data row19 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col12\" class=\"data row19 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col13\" class=\"data row19 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col14\" class=\"data row19 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col15\" class=\"data row19 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col16\" class=\"data row19 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col17\" class=\"data row19 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col18\" class=\"data row19 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col19\" class=\"data row19 col19\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row19_col20\" class=\"data row19 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col21\" class=\"data row19 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col22\" class=\"data row19 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col23\" class=\"data row19 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col24\" class=\"data row19 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col25\" class=\"data row19 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col26\" class=\"data row19 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col27\" class=\"data row19 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col28\" class=\"data row19 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row19_col29\" class=\"data row19 col29\" >-0.056151</td>\n",
              "      <td id=\"T_bca86_row19_col30\" class=\"data row19 col30\" >0.034783</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row20\" class=\"row_heading level0 row20\" >V20</th>\n",
              "      <td id=\"T_bca86_row20_col0\" class=\"data row20 col0\" >-0.050866</td>\n",
              "      <td id=\"T_bca86_row20_col1\" class=\"data row20 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col2\" class=\"data row20 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col3\" class=\"data row20 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col4\" class=\"data row20 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col5\" class=\"data row20 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col6\" class=\"data row20 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col7\" class=\"data row20 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col8\" class=\"data row20 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col9\" class=\"data row20 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col10\" class=\"data row20 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col11\" class=\"data row20 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col12\" class=\"data row20 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col13\" class=\"data row20 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col14\" class=\"data row20 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col15\" class=\"data row20 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col16\" class=\"data row20 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col17\" class=\"data row20 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col18\" class=\"data row20 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col19\" class=\"data row20 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col20\" class=\"data row20 col20\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row20_col21\" class=\"data row20 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col22\" class=\"data row20 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col23\" class=\"data row20 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col24\" class=\"data row20 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col25\" class=\"data row20 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col26\" class=\"data row20 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col27\" class=\"data row20 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col28\" class=\"data row20 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row20_col29\" class=\"data row20 col29\" >0.339403</td>\n",
              "      <td id=\"T_bca86_row20_col30\" class=\"data row20 col30\" >0.020090</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row21\" class=\"row_heading level0 row21\" >V21</th>\n",
              "      <td id=\"T_bca86_row21_col0\" class=\"data row21 col0\" >0.044736</td>\n",
              "      <td id=\"T_bca86_row21_col1\" class=\"data row21 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col2\" class=\"data row21 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col3\" class=\"data row21 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col4\" class=\"data row21 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col5\" class=\"data row21 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col6\" class=\"data row21 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col7\" class=\"data row21 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col8\" class=\"data row21 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col9\" class=\"data row21 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col10\" class=\"data row21 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col11\" class=\"data row21 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col12\" class=\"data row21 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col13\" class=\"data row21 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col14\" class=\"data row21 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col15\" class=\"data row21 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col16\" class=\"data row21 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col17\" class=\"data row21 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col18\" class=\"data row21 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col19\" class=\"data row21 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col20\" class=\"data row21 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col21\" class=\"data row21 col21\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row21_col22\" class=\"data row21 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col23\" class=\"data row21 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col24\" class=\"data row21 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col25\" class=\"data row21 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col26\" class=\"data row21 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col27\" class=\"data row21 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col28\" class=\"data row21 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row21_col29\" class=\"data row21 col29\" >0.105999</td>\n",
              "      <td id=\"T_bca86_row21_col30\" class=\"data row21 col30\" >0.040413</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row22\" class=\"row_heading level0 row22\" >V22</th>\n",
              "      <td id=\"T_bca86_row22_col0\" class=\"data row22 col0\" >0.144059</td>\n",
              "      <td id=\"T_bca86_row22_col1\" class=\"data row22 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col2\" class=\"data row22 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col3\" class=\"data row22 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col4\" class=\"data row22 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col5\" class=\"data row22 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col6\" class=\"data row22 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col7\" class=\"data row22 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col8\" class=\"data row22 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col9\" class=\"data row22 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col10\" class=\"data row22 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col11\" class=\"data row22 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col12\" class=\"data row22 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col13\" class=\"data row22 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col14\" class=\"data row22 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col15\" class=\"data row22 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col16\" class=\"data row22 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col17\" class=\"data row22 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col18\" class=\"data row22 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col19\" class=\"data row22 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col20\" class=\"data row22 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col21\" class=\"data row22 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col22\" class=\"data row22 col22\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row22_col23\" class=\"data row22 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col24\" class=\"data row22 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col25\" class=\"data row22 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col26\" class=\"data row22 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col27\" class=\"data row22 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col28\" class=\"data row22 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row22_col29\" class=\"data row22 col29\" >-0.064801</td>\n",
              "      <td id=\"T_bca86_row22_col30\" class=\"data row22 col30\" >0.000805</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row23\" class=\"row_heading level0 row23\" >V23</th>\n",
              "      <td id=\"T_bca86_row23_col0\" class=\"data row23 col0\" >0.051142</td>\n",
              "      <td id=\"T_bca86_row23_col1\" class=\"data row23 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col2\" class=\"data row23 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col3\" class=\"data row23 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col4\" class=\"data row23 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col5\" class=\"data row23 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col6\" class=\"data row23 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col7\" class=\"data row23 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col8\" class=\"data row23 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col9\" class=\"data row23 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col10\" class=\"data row23 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col11\" class=\"data row23 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col12\" class=\"data row23 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col13\" class=\"data row23 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col14\" class=\"data row23 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col15\" class=\"data row23 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col16\" class=\"data row23 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col17\" class=\"data row23 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col18\" class=\"data row23 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col19\" class=\"data row23 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col20\" class=\"data row23 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col21\" class=\"data row23 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col22\" class=\"data row23 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col23\" class=\"data row23 col23\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row23_col24\" class=\"data row23 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col25\" class=\"data row23 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col26\" class=\"data row23 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col27\" class=\"data row23 col27\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col28\" class=\"data row23 col28\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row23_col29\" class=\"data row23 col29\" >-0.112633</td>\n",
              "      <td id=\"T_bca86_row23_col30\" class=\"data row23 col30\" >-0.002685</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row24\" class=\"row_heading level0 row24\" >V24</th>\n",
              "      <td id=\"T_bca86_row24_col0\" class=\"data row24 col0\" >-0.016182</td>\n",
              "      <td id=\"T_bca86_row24_col1\" class=\"data row24 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col2\" class=\"data row24 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col3\" class=\"data row24 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col4\" class=\"data row24 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col5\" class=\"data row24 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col6\" class=\"data row24 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col7\" class=\"data row24 col7\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col8\" class=\"data row24 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col9\" class=\"data row24 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col10\" class=\"data row24 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col11\" class=\"data row24 col11\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col12\" class=\"data row24 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col13\" class=\"data row24 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col14\" class=\"data row24 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col15\" class=\"data row24 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col16\" class=\"data row24 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col17\" class=\"data row24 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col18\" class=\"data row24 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col19\" class=\"data row24 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col20\" class=\"data row24 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col21\" class=\"data row24 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col22\" class=\"data row24 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col23\" class=\"data row24 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col24\" class=\"data row24 col24\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row24_col25\" class=\"data row24 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col26\" class=\"data row24 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col27\" class=\"data row24 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col28\" class=\"data row24 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row24_col29\" class=\"data row24 col29\" >0.005146</td>\n",
              "      <td id=\"T_bca86_row24_col30\" class=\"data row24 col30\" >-0.007221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row25\" class=\"row_heading level0 row25\" >V25</th>\n",
              "      <td id=\"T_bca86_row25_col0\" class=\"data row25 col0\" >-0.233083</td>\n",
              "      <td id=\"T_bca86_row25_col1\" class=\"data row25 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col2\" class=\"data row25 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col3\" class=\"data row25 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col4\" class=\"data row25 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col5\" class=\"data row25 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col6\" class=\"data row25 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col7\" class=\"data row25 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col8\" class=\"data row25 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col9\" class=\"data row25 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col10\" class=\"data row25 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col11\" class=\"data row25 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col12\" class=\"data row25 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col13\" class=\"data row25 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col14\" class=\"data row25 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col15\" class=\"data row25 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col16\" class=\"data row25 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col17\" class=\"data row25 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col18\" class=\"data row25 col18\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col19\" class=\"data row25 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col20\" class=\"data row25 col20\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col21\" class=\"data row25 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col22\" class=\"data row25 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col23\" class=\"data row25 col23\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col24\" class=\"data row25 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col25\" class=\"data row25 col25\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row25_col26\" class=\"data row25 col26\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col27\" class=\"data row25 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col28\" class=\"data row25 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row25_col29\" class=\"data row25 col29\" >-0.047837</td>\n",
              "      <td id=\"T_bca86_row25_col30\" class=\"data row25 col30\" >0.003308</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row26\" class=\"row_heading level0 row26\" >V26</th>\n",
              "      <td id=\"T_bca86_row26_col0\" class=\"data row26 col0\" >-0.041407</td>\n",
              "      <td id=\"T_bca86_row26_col1\" class=\"data row26 col1\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col2\" class=\"data row26 col2\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col3\" class=\"data row26 col3\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col4\" class=\"data row26 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col5\" class=\"data row26 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col6\" class=\"data row26 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col7\" class=\"data row26 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col8\" class=\"data row26 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col9\" class=\"data row26 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col10\" class=\"data row26 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col11\" class=\"data row26 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col12\" class=\"data row26 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col13\" class=\"data row26 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col14\" class=\"data row26 col14\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col15\" class=\"data row26 col15\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col16\" class=\"data row26 col16\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col17\" class=\"data row26 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col18\" class=\"data row26 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col19\" class=\"data row26 col19\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col20\" class=\"data row26 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col21\" class=\"data row26 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col22\" class=\"data row26 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col23\" class=\"data row26 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col24\" class=\"data row26 col24\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col25\" class=\"data row26 col25\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col26\" class=\"data row26 col26\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row26_col27\" class=\"data row26 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col28\" class=\"data row26 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row26_col29\" class=\"data row26 col29\" >-0.003208</td>\n",
              "      <td id=\"T_bca86_row26_col30\" class=\"data row26 col30\" >0.004455</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row27\" class=\"row_heading level0 row27\" >V27</th>\n",
              "      <td id=\"T_bca86_row27_col0\" class=\"data row27 col0\" >-0.005135</td>\n",
              "      <td id=\"T_bca86_row27_col1\" class=\"data row27 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col2\" class=\"data row27 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col3\" class=\"data row27 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col4\" class=\"data row27 col4\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col5\" class=\"data row27 col5\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col6\" class=\"data row27 col6\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col7\" class=\"data row27 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col8\" class=\"data row27 col8\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col9\" class=\"data row27 col9\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col10\" class=\"data row27 col10\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col11\" class=\"data row27 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col12\" class=\"data row27 col12\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col13\" class=\"data row27 col13\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col14\" class=\"data row27 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col15\" class=\"data row27 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col16\" class=\"data row27 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col17\" class=\"data row27 col17\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col18\" class=\"data row27 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col19\" class=\"data row27 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col20\" class=\"data row27 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col21\" class=\"data row27 col21\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col22\" class=\"data row27 col22\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col23\" class=\"data row27 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col24\" class=\"data row27 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col25\" class=\"data row27 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col26\" class=\"data row27 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col27\" class=\"data row27 col27\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row27_col28\" class=\"data row27 col28\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row27_col29\" class=\"data row27 col29\" >0.028825</td>\n",
              "      <td id=\"T_bca86_row27_col30\" class=\"data row27 col30\" >0.017580</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row28\" class=\"row_heading level0 row28\" >V28</th>\n",
              "      <td id=\"T_bca86_row28_col0\" class=\"data row28 col0\" >-0.009413</td>\n",
              "      <td id=\"T_bca86_row28_col1\" class=\"data row28 col1\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col2\" class=\"data row28 col2\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col3\" class=\"data row28 col3\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col4\" class=\"data row28 col4\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col5\" class=\"data row28 col5\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col6\" class=\"data row28 col6\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col7\" class=\"data row28 col7\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col8\" class=\"data row28 col8\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col9\" class=\"data row28 col9\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col10\" class=\"data row28 col10\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col11\" class=\"data row28 col11\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col12\" class=\"data row28 col12\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col13\" class=\"data row28 col13\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col14\" class=\"data row28 col14\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col15\" class=\"data row28 col15\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col16\" class=\"data row28 col16\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col17\" class=\"data row28 col17\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col18\" class=\"data row28 col18\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col19\" class=\"data row28 col19\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col20\" class=\"data row28 col20\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col21\" class=\"data row28 col21\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col22\" class=\"data row28 col22\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col23\" class=\"data row28 col23\" >0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col24\" class=\"data row28 col24\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col25\" class=\"data row28 col25\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col26\" class=\"data row28 col26\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col27\" class=\"data row28 col27\" >-0.000000</td>\n",
              "      <td id=\"T_bca86_row28_col28\" class=\"data row28 col28\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row28_col29\" class=\"data row28 col29\" >0.010258</td>\n",
              "      <td id=\"T_bca86_row28_col30\" class=\"data row28 col30\" >0.009536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row29\" class=\"row_heading level0 row29\" >Amount</th>\n",
              "      <td id=\"T_bca86_row29_col0\" class=\"data row29 col0\" >-0.010596</td>\n",
              "      <td id=\"T_bca86_row29_col1\" class=\"data row29 col1\" >-0.227709</td>\n",
              "      <td id=\"T_bca86_row29_col2\" class=\"data row29 col2\" >-0.531409</td>\n",
              "      <td id=\"T_bca86_row29_col3\" class=\"data row29 col3\" >-0.210880</td>\n",
              "      <td id=\"T_bca86_row29_col4\" class=\"data row29 col4\" >0.098732</td>\n",
              "      <td id=\"T_bca86_row29_col5\" class=\"data row29 col5\" >-0.386356</td>\n",
              "      <td id=\"T_bca86_row29_col6\" class=\"data row29 col6\" >0.215981</td>\n",
              "      <td id=\"T_bca86_row29_col7\" class=\"data row29 col7\" >0.397311</td>\n",
              "      <td id=\"T_bca86_row29_col8\" class=\"data row29 col8\" >-0.103079</td>\n",
              "      <td id=\"T_bca86_row29_col9\" class=\"data row29 col9\" >-0.044246</td>\n",
              "      <td id=\"T_bca86_row29_col10\" class=\"data row29 col10\" >-0.101502</td>\n",
              "      <td id=\"T_bca86_row29_col11\" class=\"data row29 col11\" >0.000104</td>\n",
              "      <td id=\"T_bca86_row29_col12\" class=\"data row29 col12\" >-0.009542</td>\n",
              "      <td id=\"T_bca86_row29_col13\" class=\"data row29 col13\" >0.005293</td>\n",
              "      <td id=\"T_bca86_row29_col14\" class=\"data row29 col14\" >0.033751</td>\n",
              "      <td id=\"T_bca86_row29_col15\" class=\"data row29 col15\" >-0.002986</td>\n",
              "      <td id=\"T_bca86_row29_col16\" class=\"data row29 col16\" >-0.003910</td>\n",
              "      <td id=\"T_bca86_row29_col17\" class=\"data row29 col17\" >0.007309</td>\n",
              "      <td id=\"T_bca86_row29_col18\" class=\"data row29 col18\" >0.035650</td>\n",
              "      <td id=\"T_bca86_row29_col19\" class=\"data row29 col19\" >-0.056151</td>\n",
              "      <td id=\"T_bca86_row29_col20\" class=\"data row29 col20\" >0.339403</td>\n",
              "      <td id=\"T_bca86_row29_col21\" class=\"data row29 col21\" >0.105999</td>\n",
              "      <td id=\"T_bca86_row29_col22\" class=\"data row29 col22\" >-0.064801</td>\n",
              "      <td id=\"T_bca86_row29_col23\" class=\"data row29 col23\" >-0.112633</td>\n",
              "      <td id=\"T_bca86_row29_col24\" class=\"data row29 col24\" >0.005146</td>\n",
              "      <td id=\"T_bca86_row29_col25\" class=\"data row29 col25\" >-0.047837</td>\n",
              "      <td id=\"T_bca86_row29_col26\" class=\"data row29 col26\" >-0.003208</td>\n",
              "      <td id=\"T_bca86_row29_col27\" class=\"data row29 col27\" >0.028825</td>\n",
              "      <td id=\"T_bca86_row29_col28\" class=\"data row29 col28\" >0.010258</td>\n",
              "      <td id=\"T_bca86_row29_col29\" class=\"data row29 col29\" >1.000000</td>\n",
              "      <td id=\"T_bca86_row29_col30\" class=\"data row29 col30\" >0.005632</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_bca86_level0_row30\" class=\"row_heading level0 row30\" >Class</th>\n",
              "      <td id=\"T_bca86_row30_col0\" class=\"data row30 col0\" >-0.012323</td>\n",
              "      <td id=\"T_bca86_row30_col1\" class=\"data row30 col1\" >-0.101347</td>\n",
              "      <td id=\"T_bca86_row30_col2\" class=\"data row30 col2\" >0.091289</td>\n",
              "      <td id=\"T_bca86_row30_col3\" class=\"data row30 col3\" >-0.192961</td>\n",
              "      <td id=\"T_bca86_row30_col4\" class=\"data row30 col4\" >0.133447</td>\n",
              "      <td id=\"T_bca86_row30_col5\" class=\"data row30 col5\" >-0.094974</td>\n",
              "      <td id=\"T_bca86_row30_col6\" class=\"data row30 col6\" >-0.043643</td>\n",
              "      <td id=\"T_bca86_row30_col7\" class=\"data row30 col7\" >-0.187257</td>\n",
              "      <td id=\"T_bca86_row30_col8\" class=\"data row30 col8\" >0.019875</td>\n",
              "      <td id=\"T_bca86_row30_col9\" class=\"data row30 col9\" >-0.097733</td>\n",
              "      <td id=\"T_bca86_row30_col10\" class=\"data row30 col10\" >-0.216883</td>\n",
              "      <td id=\"T_bca86_row30_col11\" class=\"data row30 col11\" >0.154876</td>\n",
              "      <td id=\"T_bca86_row30_col12\" class=\"data row30 col12\" >-0.260593</td>\n",
              "      <td id=\"T_bca86_row30_col13\" class=\"data row30 col13\" >-0.004570</td>\n",
              "      <td id=\"T_bca86_row30_col14\" class=\"data row30 col14\" >-0.302544</td>\n",
              "      <td id=\"T_bca86_row30_col15\" class=\"data row30 col15\" >-0.004223</td>\n",
              "      <td id=\"T_bca86_row30_col16\" class=\"data row30 col16\" >-0.196539</td>\n",
              "      <td id=\"T_bca86_row30_col17\" class=\"data row30 col17\" >-0.326481</td>\n",
              "      <td id=\"T_bca86_row30_col18\" class=\"data row30 col18\" >-0.111485</td>\n",
              "      <td id=\"T_bca86_row30_col19\" class=\"data row30 col19\" >0.034783</td>\n",
              "      <td id=\"T_bca86_row30_col20\" class=\"data row30 col20\" >0.020090</td>\n",
              "      <td id=\"T_bca86_row30_col21\" class=\"data row30 col21\" >0.040413</td>\n",
              "      <td id=\"T_bca86_row30_col22\" class=\"data row30 col22\" >0.000805</td>\n",
              "      <td id=\"T_bca86_row30_col23\" class=\"data row30 col23\" >-0.002685</td>\n",
              "      <td id=\"T_bca86_row30_col24\" class=\"data row30 col24\" >-0.007221</td>\n",
              "      <td id=\"T_bca86_row30_col25\" class=\"data row30 col25\" >0.003308</td>\n",
              "      <td id=\"T_bca86_row30_col26\" class=\"data row30 col26\" >0.004455</td>\n",
              "      <td id=\"T_bca86_row30_col27\" class=\"data row30 col27\" >0.017580</td>\n",
              "      <td id=\"T_bca86_row30_col28\" class=\"data row30 col28\" >0.009536</td>\n",
              "      <td id=\"T_bca86_row30_col29\" class=\"data row30 col29\" >0.005632</td>\n",
              "      <td id=\"T_bca86_row30_col30\" class=\"data row30 col30\" >1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = df[['V3','V4','V7','V10','V11','V12','V14','V16','V17','V18','Class']]\n",
        "corr = df2.corr()\n",
        "corr.style.background_gradient()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "VjMeZ6nLQ9cE",
        "outputId": "7dfe9d91-cbf7-4d34-80c8-81d0f1163699"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7fd3265faa10>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "#T_79a55_row0_col0, #T_79a55_row1_col1, #T_79a55_row2_col2, #T_79a55_row3_col3, #T_79a55_row4_col4, #T_79a55_row5_col5, #T_79a55_row6_col6, #T_79a55_row7_col7, #T_79a55_row8_col8, #T_79a55_row9_col9, #T_79a55_row10_col10 {\n",
              "  background-color: #023858;\n",
              "  color: #f1f1f1;\n",
              "}\n",
              "#T_79a55_row0_col1, #T_79a55_row0_col4, #T_79a55_row1_col4, #T_79a55_row2_col1, #T_79a55_row2_col4, #T_79a55_row3_col1, #T_79a55_row3_col4, #T_79a55_row4_col1, #T_79a55_row5_col1, #T_79a55_row5_col4, #T_79a55_row6_col1, #T_79a55_row6_col4, #T_79a55_row7_col1, #T_79a55_row7_col4, #T_79a55_row8_col1, #T_79a55_row8_col4, #T_79a55_row8_col10, #T_79a55_row9_col1, #T_79a55_row9_col4, #T_79a55_row10_col0, #T_79a55_row10_col2, #T_79a55_row10_col3, #T_79a55_row10_col5, #T_79a55_row10_col6, #T_79a55_row10_col7, #T_79a55_row10_col8, #T_79a55_row10_col9 {\n",
              "  background-color: #fff7fb;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col2, #T_79a55_row1_col2, #T_79a55_row3_col2, #T_79a55_row4_col2, #T_79a55_row5_col2, #T_79a55_row6_col2, #T_79a55_row7_col2, #T_79a55_row8_col2, #T_79a55_row9_col2 {\n",
              "  background-color: #e5e1ef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col3, #T_79a55_row1_col3, #T_79a55_row2_col3, #T_79a55_row4_col3, #T_79a55_row5_col3, #T_79a55_row6_col3, #T_79a55_row7_col3, #T_79a55_row8_col3, #T_79a55_row9_col3 {\n",
              "  background-color: #e0deed;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col5, #T_79a55_row1_col5, #T_79a55_row2_col5, #T_79a55_row3_col5, #T_79a55_row4_col5, #T_79a55_row6_col5, #T_79a55_row7_col5, #T_79a55_row8_col5, #T_79a55_row9_col5 {\n",
              "  background-color: #dad9ea;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col6, #T_79a55_row1_col6, #T_79a55_row2_col6, #T_79a55_row3_col6, #T_79a55_row4_col6, #T_79a55_row5_col6, #T_79a55_row7_col6, #T_79a55_row8_col6, #T_79a55_row9_col6 {\n",
              "  background-color: #d4d4e8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col7, #T_79a55_row1_col7, #T_79a55_row2_col7, #T_79a55_row3_col7, #T_79a55_row4_col7, #T_79a55_row5_col7, #T_79a55_row6_col7, #T_79a55_row8_col7, #T_79a55_row9_col7 {\n",
              "  background-color: #e3e0ee;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col8, #T_79a55_row1_col8, #T_79a55_row2_col8, #T_79a55_row3_col8, #T_79a55_row4_col8, #T_79a55_row5_col8, #T_79a55_row6_col8, #T_79a55_row7_col8, #T_79a55_row9_col8 {\n",
              "  background-color: #d1d2e6;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row0_col9, #T_79a55_row0_col10, #T_79a55_row1_col9, #T_79a55_row2_col9, #T_79a55_row2_col10, #T_79a55_row3_col9, #T_79a55_row4_col9, #T_79a55_row5_col9, #T_79a55_row6_col9, #T_79a55_row7_col9, #T_79a55_row7_col10, #T_79a55_row8_col9 {\n",
              "  background-color: #f0eaf4;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row1_col0, #T_79a55_row2_col0, #T_79a55_row3_col0, #T_79a55_row4_col0, #T_79a55_row5_col0, #T_79a55_row6_col0, #T_79a55_row7_col0, #T_79a55_row8_col0, #T_79a55_row9_col0, #T_79a55_row9_col10 {\n",
              "  background-color: #e4e1ef;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row1_col10 {\n",
              "  background-color: #b0c2de;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row3_col10 {\n",
              "  background-color: #f2ecf5;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row4_col10 {\n",
              "  background-color: #abbfdc;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row5_col10 {\n",
              "  background-color: #f8f1f8;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row6_col10 {\n",
              "  background-color: #fdf5fa;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row10_col1 {\n",
              "  background-color: #eae6f1;\n",
              "  color: #000000;\n",
              "}\n",
              "#T_79a55_row10_col4 {\n",
              "  background-color: #e6e2ef;\n",
              "  color: #000000;\n",
              "}\n",
              "</style>\n",
              "<table id=\"T_79a55_\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"blank level0\" >&nbsp;</th>\n",
              "      <th class=\"col_heading level0 col0\" >V3</th>\n",
              "      <th class=\"col_heading level0 col1\" >V4</th>\n",
              "      <th class=\"col_heading level0 col2\" >V7</th>\n",
              "      <th class=\"col_heading level0 col3\" >V10</th>\n",
              "      <th class=\"col_heading level0 col4\" >V11</th>\n",
              "      <th class=\"col_heading level0 col5\" >V12</th>\n",
              "      <th class=\"col_heading level0 col6\" >V14</th>\n",
              "      <th class=\"col_heading level0 col7\" >V16</th>\n",
              "      <th class=\"col_heading level0 col8\" >V17</th>\n",
              "      <th class=\"col_heading level0 col9\" >V18</th>\n",
              "      <th class=\"col_heading level0 col10\" >Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row0\" class=\"row_heading level0 row0\" >V3</th>\n",
              "      <td id=\"T_79a55_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row0_col1\" class=\"data row0 col1\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col2\" class=\"data row0 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col3\" class=\"data row0 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col4\" class=\"data row0 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col5\" class=\"data row0 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col6\" class=\"data row0 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col7\" class=\"data row0 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col8\" class=\"data row0 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col9\" class=\"data row0 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row0_col10\" class=\"data row0 col10\" >-0.192961</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row1\" class=\"row_heading level0 row1\" >V4</th>\n",
              "      <td id=\"T_79a55_row1_col0\" class=\"data row1 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col1\" class=\"data row1 col1\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row1_col2\" class=\"data row1 col2\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col4\" class=\"data row1 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col5\" class=\"data row1 col5\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col6\" class=\"data row1 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col7\" class=\"data row1 col7\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col8\" class=\"data row1 col8\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col9\" class=\"data row1 col9\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row1_col10\" class=\"data row1 col10\" >0.133447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row2\" class=\"row_heading level0 row2\" >V7</th>\n",
              "      <td id=\"T_79a55_row2_col0\" class=\"data row2 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col1\" class=\"data row2 col1\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col2\" class=\"data row2 col2\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row2_col3\" class=\"data row2 col3\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col4\" class=\"data row2 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col5\" class=\"data row2 col5\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col6\" class=\"data row2 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col7\" class=\"data row2 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col8\" class=\"data row2 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col9\" class=\"data row2 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row2_col10\" class=\"data row2 col10\" >-0.187257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row3\" class=\"row_heading level0 row3\" >V10</th>\n",
              "      <td id=\"T_79a55_row3_col0\" class=\"data row3 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col1\" class=\"data row3 col1\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col2\" class=\"data row3 col2\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col3\" class=\"data row3 col3\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row3_col4\" class=\"data row3 col4\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col5\" class=\"data row3 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col6\" class=\"data row3 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col7\" class=\"data row3 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col8\" class=\"data row3 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col9\" class=\"data row3 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row3_col10\" class=\"data row3 col10\" >-0.216883</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row4\" class=\"row_heading level0 row4\" >V11</th>\n",
              "      <td id=\"T_79a55_row4_col0\" class=\"data row4 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col1\" class=\"data row4 col1\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col2\" class=\"data row4 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col3\" class=\"data row4 col3\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col4\" class=\"data row4 col4\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row4_col5\" class=\"data row4 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col6\" class=\"data row4 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col7\" class=\"data row4 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col8\" class=\"data row4 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col9\" class=\"data row4 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row4_col10\" class=\"data row4 col10\" >0.154876</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row5\" class=\"row_heading level0 row5\" >V12</th>\n",
              "      <td id=\"T_79a55_row5_col0\" class=\"data row5 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col1\" class=\"data row5 col1\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col2\" class=\"data row5 col2\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col3\" class=\"data row5 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col4\" class=\"data row5 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col5\" class=\"data row5 col5\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row5_col6\" class=\"data row5 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col7\" class=\"data row5 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col8\" class=\"data row5 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col9\" class=\"data row5 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row5_col10\" class=\"data row5 col10\" >-0.260593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row6\" class=\"row_heading level0 row6\" >V14</th>\n",
              "      <td id=\"T_79a55_row6_col0\" class=\"data row6 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col1\" class=\"data row6 col1\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col3\" class=\"data row6 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col4\" class=\"data row6 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col5\" class=\"data row6 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col6\" class=\"data row6 col6\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row6_col7\" class=\"data row6 col7\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col8\" class=\"data row6 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col9\" class=\"data row6 col9\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row6_col10\" class=\"data row6 col10\" >-0.302544</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row7\" class=\"row_heading level0 row7\" >V16</th>\n",
              "      <td id=\"T_79a55_row7_col0\" class=\"data row7 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col1\" class=\"data row7 col1\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col2\" class=\"data row7 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col3\" class=\"data row7 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col4\" class=\"data row7 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col5\" class=\"data row7 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col6\" class=\"data row7 col6\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col7\" class=\"data row7 col7\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row7_col8\" class=\"data row7 col8\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col9\" class=\"data row7 col9\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row7_col10\" class=\"data row7 col10\" >-0.196539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row8\" class=\"row_heading level0 row8\" >V17</th>\n",
              "      <td id=\"T_79a55_row8_col0\" class=\"data row8 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col1\" class=\"data row8 col1\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col2\" class=\"data row8 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col3\" class=\"data row8 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col5\" class=\"data row8 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col6\" class=\"data row8 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col7\" class=\"data row8 col7\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col8\" class=\"data row8 col8\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row8_col9\" class=\"data row8 col9\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row8_col10\" class=\"data row8 col10\" >-0.326481</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row9\" class=\"row_heading level0 row9\" >V18</th>\n",
              "      <td id=\"T_79a55_row9_col0\" class=\"data row9 col0\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col1\" class=\"data row9 col1\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col2\" class=\"data row9 col2\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col3\" class=\"data row9 col3\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col4\" class=\"data row9 col4\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col5\" class=\"data row9 col5\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col6\" class=\"data row9 col6\" >0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col7\" class=\"data row9 col7\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col8\" class=\"data row9 col8\" >-0.000000</td>\n",
              "      <td id=\"T_79a55_row9_col9\" class=\"data row9 col9\" >1.000000</td>\n",
              "      <td id=\"T_79a55_row9_col10\" class=\"data row9 col10\" >-0.111485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_79a55_level0_row10\" class=\"row_heading level0 row10\" >Class</th>\n",
              "      <td id=\"T_79a55_row10_col0\" class=\"data row10 col0\" >-0.192961</td>\n",
              "      <td id=\"T_79a55_row10_col1\" class=\"data row10 col1\" >0.133447</td>\n",
              "      <td id=\"T_79a55_row10_col2\" class=\"data row10 col2\" >-0.187257</td>\n",
              "      <td id=\"T_79a55_row10_col3\" class=\"data row10 col3\" >-0.216883</td>\n",
              "      <td id=\"T_79a55_row10_col4\" class=\"data row10 col4\" >0.154876</td>\n",
              "      <td id=\"T_79a55_row10_col5\" class=\"data row10 col5\" >-0.260593</td>\n",
              "      <td id=\"T_79a55_row10_col6\" class=\"data row10 col6\" >-0.302544</td>\n",
              "      <td id=\"T_79a55_row10_col7\" class=\"data row10 col7\" >-0.196539</td>\n",
              "      <td id=\"T_79a55_row10_col8\" class=\"data row10 col8\" >-0.326481</td>\n",
              "      <td id=\"T_79a55_row10_col9\" class=\"data row10 col9\" >-0.111485</td>\n",
              "      <td id=\"T_79a55_row10_col10\" class=\"data row10 col10\" >1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = df2.drop(['Class'], axis = 1)\n",
        "Y = df2[['Class']]\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "dVKcOJt8RidO"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "YWiKg_J1XIgI",
        "outputId": "82412980-fdcb-4b37-a544-a6b268c78d83"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  V3             V4             V7            V10  \\\n",
              "count  227845.000000  227845.000000  227845.000000  227845.000000   \n",
              "mean       -0.000920      -0.001458       0.001090      -0.001250   \n",
              "std         1.514545       1.415853       1.243493       1.086659   \n",
              "min       -48.325589      -5.683171     -43.557242     -24.588262   \n",
              "25%        -0.890786      -0.849270      -0.552156      -0.536120   \n",
              "50%         0.179041      -0.020959       0.041272      -0.094026   \n",
              "75%         1.025399       0.741630       0.570639       0.450669   \n",
              "max         4.187811      16.875344     120.589494      15.245686   \n",
              "\n",
              "                 V11            V12            V14            V16  \\\n",
              "count  227845.000000  227845.000000  227845.000000  227845.000000   \n",
              "mean        0.000577      -0.001405       0.000004       0.000668   \n",
              "std         1.021130       1.001724       0.959456       0.877394   \n",
              "min        -4.797473     -18.683715     -19.214325     -14.129855   \n",
              "25%        -0.763311      -0.406727      -0.425856      -0.467322   \n",
              "50%        -0.031764       0.139452       0.051191       0.067910   \n",
              "75%         0.740126       0.617962       0.494204       0.523986   \n",
              "max        12.018913       7.848392      10.526766      17.315112   \n",
              "\n",
              "                 V17            V18  \n",
              "count  227845.000000  227845.000000  \n",
              "mean        0.000616      -0.000344  \n",
              "std         0.851612       0.838031  \n",
              "min       -25.162799      -9.498746  \n",
              "25%        -0.484129      -0.498850  \n",
              "50%        -0.065443      -0.004699  \n",
              "75%         0.400649       0.500715  \n",
              "max         9.253526       5.041069  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c2e64785-24fb-4b8d-82ba-104c01601775\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "      <th></th>\n",
              "      <th>V3</th>\n",
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              "      <th>V7</th>\n",
              "      <th>V10</th>\n",
              "      <th>V11</th>\n",
              "      <th>V12</th>\n",
              "      <th>V14</th>\n",
              "      <th>V16</th>\n",
              "      <th>V17</th>\n",
              "      <th>V18</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>227845.000000</td>\n",
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              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "      <td>227845.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>-0.000920</td>\n",
              "      <td>-0.001458</td>\n",
              "      <td>0.001090</td>\n",
              "      <td>-0.001250</td>\n",
              "      <td>0.000577</td>\n",
              "      <td>-0.001405</td>\n",
              "      <td>0.000004</td>\n",
              "      <td>0.000668</td>\n",
              "      <td>0.000616</td>\n",
              "      <td>-0.000344</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.514545</td>\n",
              "      <td>1.415853</td>\n",
              "      <td>1.243493</td>\n",
              "      <td>1.086659</td>\n",
              "      <td>1.021130</td>\n",
              "      <td>1.001724</td>\n",
              "      <td>0.959456</td>\n",
              "      <td>0.877394</td>\n",
              "      <td>0.851612</td>\n",
              "      <td>0.838031</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-48.325589</td>\n",
              "      <td>-5.683171</td>\n",
              "      <td>-43.557242</td>\n",
              "      <td>-24.588262</td>\n",
              "      <td>-4.797473</td>\n",
              "      <td>-18.683715</td>\n",
              "      <td>-19.214325</td>\n",
              "      <td>-14.129855</td>\n",
              "      <td>-25.162799</td>\n",
              "      <td>-9.498746</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.890786</td>\n",
              "      <td>-0.849270</td>\n",
              "      <td>-0.552156</td>\n",
              "      <td>-0.536120</td>\n",
              "      <td>-0.763311</td>\n",
              "      <td>-0.406727</td>\n",
              "      <td>-0.425856</td>\n",
              "      <td>-0.467322</td>\n",
              "      <td>-0.484129</td>\n",
              "      <td>-0.498850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.179041</td>\n",
              "      <td>-0.020959</td>\n",
              "      <td>0.041272</td>\n",
              "      <td>-0.094026</td>\n",
              "      <td>-0.031764</td>\n",
              "      <td>0.139452</td>\n",
              "      <td>0.051191</td>\n",
              "      <td>0.067910</td>\n",
              "      <td>-0.065443</td>\n",
              "      <td>-0.004699</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1.025399</td>\n",
              "      <td>0.741630</td>\n",
              "      <td>0.570639</td>\n",
              "      <td>0.450669</td>\n",
              "      <td>0.740126</td>\n",
              "      <td>0.617962</td>\n",
              "      <td>0.494204</td>\n",
              "      <td>0.523986</td>\n",
              "      <td>0.400649</td>\n",
              "      <td>0.500715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>4.187811</td>\n",
              "      <td>16.875344</td>\n",
              "      <td>120.589494</td>\n",
              "      <td>15.245686</td>\n",
              "      <td>12.018913</td>\n",
              "      <td>7.848392</td>\n",
              "      <td>10.526766</td>\n",
              "      <td>17.315112</td>\n",
              "      <td>9.253526</td>\n",
              "      <td>5.041069</td>\n",
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              "  </tbody>\n",
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              "\n",
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              "          const element = document.querySelector('#df-c2e64785-24fb-4b8d-82ba-104c01601775');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
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    {
      "cell_type": "code",
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        "y_train.describe()"
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        "outputId": "3afdf37d-9cea-40df-be7c-b5f393c219b6"
      },
      "execution_count": 13,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "               Class\n",
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              "                                                     [key], {});\n",
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      "execution_count": 12,
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              "                 V3            V4            V7           V10           V11  \\\n",
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              "50%        0.142883      0.048383      0.060212     -0.066670      0.000009  \n",
              "75%        0.619266      0.489440      0.519693      0.395655      0.500929  \n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.523083</td>\n",
              "      <td>1.415928</td>\n",
              "      <td>1.211161</td>\n",
              "      <td>1.097566</td>\n",
              "      <td>1.019049</td>\n",
              "      <td>0.989035</td>\n",
              "      <td>0.955153</td>\n",
              "      <td>0.871677</td>\n",
              "      <td>0.840178</td>\n",
              "      <td>0.838763</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-33.680984</td>\n",
              "      <td>-5.560118</td>\n",
              "      <td>-41.506796</td>\n",
              "      <td>-24.403185</td>\n",
              "      <td>-4.682931</td>\n",
              "      <td>-18.431131</td>\n",
              "      <td>-18.822087</td>\n",
              "      <td>-13.251542</td>\n",
              "      <td>-22.883999</td>\n",
              "      <td>-9.287832</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.888704</td>\n",
              "      <td>-0.845879</td>\n",
              "      <td>-0.560154</td>\n",
              "      <td>-0.531788</td>\n",
              "      <td>-0.758804</td>\n",
              "      <td>-0.400500</td>\n",
              "      <td>-0.424073</td>\n",
              "      <td>-0.471834</td>\n",
              "      <td>-0.482571</td>\n",
              "      <td>-0.497824</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.182747</td>\n",
              "      <td>-0.015815</td>\n",
              "      <td>0.035441</td>\n",
              "      <td>-0.088595</td>\n",
              "      <td>-0.036275</td>\n",
              "      <td>0.142883</td>\n",
              "      <td>0.048383</td>\n",
              "      <td>0.060212</td>\n",
              "      <td>-0.066670</td>\n",
              "      <td>0.000009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1.033586</td>\n",
              "      <td>0.749608</td>\n",
              "      <td>0.569454</td>\n",
              "      <td>0.465203</td>\n",
              "      <td>0.737644</td>\n",
              "      <td>0.619266</td>\n",
              "      <td>0.489440</td>\n",
              "      <td>0.519693</td>\n",
              "      <td>0.395655</td>\n",
              "      <td>0.500929</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>9.382558</td>\n",
              "      <td>12.699542</td>\n",
              "      <td>21.437514</td>\n",
              "      <td>23.745136</td>\n",
              "      <td>11.619723</td>\n",
              "      <td>4.846452</td>\n",
              "      <td>7.754599</td>\n",
              "      <td>5.286804</td>\n",
              "      <td>7.733456</td>\n",
              "      <td>4.093440</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-abf1f6a6-107c-4ab2-9c2d-bbd73de224ed')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
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          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_test.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
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        "id": "1kQyzActXIx1",
        "outputId": "a174b5ab-d201-4ae3-8495-50c1de319017"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              Class\n",
              "count  56962.000000\n",
              "mean       0.001720\n",
              "std        0.041443\n",
              "min        0.000000\n",
              "25%        0.000000\n",
              "50%        0.000000\n",
              "75%        0.000000\n",
              "max        1.000000"
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>56962.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.001720</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.041443</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1984b233-c25e-4fe9-944a-0968edcfb183')\"\n",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-1984b233-c25e-4fe9-944a-0968edcfb183');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in X:\n",
        "  plt.scatter(df2[i],df2['Class'])\n",
        "  plt.title('Correlação entre ' + i +' e Class')\n",
        "  plt.xlabel(i)\n",
        "  plt.ylabel('Class')\n",
        "  plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "g0Cfp8eUUSaG",
        "outputId": "ee41ca22-3292-474b-a070-4501a918c0f7"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "legenda = [\"Média\",\"Mediana\"]\n",
        "\n",
        "for i in X:\n",
        "  plt.hist(df2[i])\n",
        "  plt.axvline(df2[i].mean(), color='purple', lw=3, ls=\"--\") #Média\n",
        "  plt.axvline(df2[i].median(), color='orange', lw=3, ls=\"--\") #Mediana\n",
        "  plt.legend(legenda, loc=\"upper right\")\n",
        "  plt.title('Histograma de ' + i)  \n",
        "  plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "qGsAJPLBXYBy",
        "outputId": "72bc398e-adde-4545-f0c8-58d73d0d8dbc"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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l8pyEmZW1A/+wiG+Puh3ITVxfsOSsIreotDhJmFlZ2/u5FYw878madSeJrXm4yczMMjlJmJlZJicJMzPL5CRhZmaZnCTMzCyTk4SZmWVykjAzs0xOEmZmlslJwszMMtWbJCT1kfSopJckvSjpeym+m6SZkham964pLknXSqqSNF/SAXl1jU/lF0oanxcfLOn5tM+1klTXMczMtpdnD+rFnXOO5M45R3LNsnHFbk7JaciZxGbg3IgYAAwHzpA0AJgIzIqIfsCstA5wONAvvSYA10PuAx+YBAwDhgKT8j70rwe+k7ff6BTPOoaZ2XYx7+DeTNzpNCbudBrXLDu+2M0pOfUmiYhYGhF/S8tvAwuA3sAYYFoqNg04Ki2PAW6NnNlAF0m9gFHAzIhYFRGrgZnA6LRtl4iYHREB3FqrrkLHMDOzZrBNcxKSKoFBwNNAz4hYmja9CfRMy72BxXm7VadYXfHqAnHqOEbtdk2QNFfS3OXLl29Ll8zMrA4NThKSdgbuBb4fEevyt6UzgNjObdtKXceIiBsjYkhEDOnRo8cn2Qwzs7LSoCQhqS25BHFbRPw2hZeloSLS+1spvgTok7d7RYrVFa8oEK/rGGZm28Uh9yzkdzudx+92Oo9fV15S7OaUnIZc3STgZmBBRFydt2k6sOUKpfHA/XnxE9NVTsOBtWnI6GHgMEld04T1YcDDads6ScPTsU6sVVehY5iZbRe7/2Mt++/9Evvv/RKH7jKn2M0pOQ350aGDgBOA5yXNS7ELgMuBuyWdArwGfD1tmwEcAVQB64GTACJilaTLgC3/FS6NiFVp+XTgFqAD8FB6UccxzMysGdSbJCLiCUAZmw8pUD6AMzLqmgpMLRCfC+xbIL6y0DHMzKx5+I5rMzPL5CRhZmaZnCTMzCyTk4SZmWVykjAzs0xOEmZmlslJwszMMjXkZjozs1brL6P24Jqncg92WNanc5FbU3qcJMysrP19/x78nWNzK6vqLluOPNxkZmaZnCTMzCyTk4SZmWVykjCzsvblW17i8a6n8njXU3lgz+8VuzklxxPXZlbWui9bz+59ltRfsEz5TMLMzDI5SZiZWSYnCTMzy+QkYWZmmZwkzMwsk5OEmZllcpIwM7NMThJmZpbJScLMzDL5jmszK2t//NqerH/yHABW9OpU5NaUHicJMytri/fswl2MzK28Xdy2lCIPN5mZWSYnCTMzy+QkYWZmmZwkzKysHffL55i/+zjm7z6Op/ufWOzmlBxPXJtZWev4zvvs0iU3Y71LkdtSiuo9k5A0VdJbkl7Ii02WtETSvPQ6Im/b+ZKqJL0iaVRefHSKVUmamBfvK+npFL9LUrsU3ymtV6Xtldur02Zm1jANGW66BRhdIP6ziNg/vWYASBoAjAX2Sfv8SlIbSW2AXwKHAwOAcakswBWprj2B1cApKX4KsDrFf5bKmZlZM6o3SUTE48CqBtY3BrgzIt6LiH8CVcDQ9KqKiFcjYhNwJzBGkoCRwD1p/2nAUXl1TUvL9wCHpPJmZtZMmjJxfaak+Wk4qmuK9QYW55WpTrGseDdgTURsrhXfqq60fW0q/zGSJkiaK2nu8uXLm9AlMzPL19gkcT3wWWB/YClw1XZrUSNExI0RMSQihvTo0aOYTTEza1UalSQiYllEfBARHwI3kRtOAlgC9MkrWpFiWfGVQBdJO9aKb1VX2r5rKm9mZs2kUUlCUq+81aOBLVc+TQfGpiuT+gL9gL8Cc4B+6UqmduQmt6dHRACPAsek/ccD9+fVNT4tHwP8KZU3M7NmUu99EpLuAEYA3SVVA5OAEZL2BwJYBJwKEBEvSrobeAnYDJwRER+kes4EHgbaAFMj4sV0iB8Cd0r6MfAscHOK3wz8RlIVuYnzsU3urZmZbZN6k0REjCsQvrlAbEv5KcCUAvEZwIwC8Vf5aLgqP74ROLa+9pmZ2SfHd1ybWVmbPr4/f3/qJwCs7d6hyK0pPU4SZlbWVn66E3/hX3MrG4rbllLkB/yZmVkmJwkzM8vkJGFmZpmcJMysrJ10xVwWDTyy5mVbc5IwM7NMThJmZpbJScLMzDI5SZiZWSYnCTMzy+QkYWZmmZwkzMwsk5OEmZllcpIwM7NMThJmZpbJjwo3s7J25+kDmTXn1wBs7NS2yK0pPU4SZlbWNnRux+t8OreyubhtKUUebjIzs0xOEmZmlsnDTWZW1jq8vYke7VYBuTmJtzZ3K3KLSouThJmVtbG/ms+k2ybXrFfOf7B4jSlBHm4yM7NMThJmZpbJScLMzDI5SZiZWSYnCTMzy+QkYWZmmZwkzMwsk5OEmZllqjdJSJoq6S1JL+TFdpM0U9LC9N41xSXpWklVkuZLOiBvn/Gp/EJJ4/PigyU9n/a5VpLqOoaZmTWfhpxJ3AKMrhWbCMyKiH7ArLQOcDjQL70mANdD7gMfmAQMA4YCk/I+9K8HvpO33+h6jmFmZs2k3iQREY8Dq2qFxwDT0vI04Ki8+K2RMxvoIqkXMAqYGRGrImI1MBMYnbbtEhGzIyKAW2vVVegYZmbbzX//cAiV8x+sednWGjsn0TMilqblN4Geabk3sDivXHWK1RWvLhCv6xgfI2mCpLmS5i5fvrwR3TEzs0KaPHGdzgBiO7Sl0ceIiBsjYkhEDOnRo8cn2RQzs7LS2CSxLA0Vkd7fSvElQJ+8chUpVle8okC8rmOYmVkzaWySmA5suUJpPHB/XvzEdJXTcGBtGjJ6GDhMUtc0YX0Y8HDatk7S8HRV04m16ip0DDOz7abbm+9y0LvPc9C7z7Nvh6piN6fk1Pt7EpLuAEYA3SVVk7tK6XLgbkmnAK8BX0/FZwBHAFXAeuAkgIhYJekyYE4qd2lEbJkMP53cFVQdgIfSizqOYWa23Xxl2gL/nkQd6k0SETEuY9MhBcoGcEZGPVOBqQXic4F9C8RXFjqGmZk1H99xbWZmmZwkzMwsk5OEmZllcpIwM7NMThJmZpbJScLMzDI5SZiZWSYnCTMzy1TvzXRmZq3Z+p3bsm5NZwA2dGpb5NaUHicJMytrd52xH3e9fkexm1GyPNxkZmaZnCTMzCyTk4SZmWXynISZlbU+VWs48NN/A2BFr07MentYkVtUWpwkzKysHXpvFZNuu7pm3b8nsTUPN5mZWSYnCTMzy+QkYWZmmZwkzMwsk5OEmZllcpIwM7NMThJmZpbJScLMzDI5SZiZWSbfcW1mZW1Fz468vrg3AGu7tS9ya0qPk4SZlbUHvjWAB1bfkFtZXdy2lCIPN5mZWSYnCTMzy+QkYWZmmTwnYWZlba95yzmi32MALOvTmTtWjS5ug0pMk84kJC2S9LykeZLmpthukmZKWpjeu6a4JF0rqUrSfEkH5NUzPpVfKGl8Xnxwqr8q7aumtNfMrLaDHn6N739hGt//wjR+UvGLYjen5GyP4aYvRcT+ETEkrU8EZkVEP2BWWgc4HOiXXhOA6yGXVIBJwDBgKDBpS2JJZb6Tt59TvJlZM/ok5iTGANPS8jTgqLz4rZEzG+giqRcwCpgZEasiYjUwExidtu0SEbMjIoBb8+oyM7Nm0NQkEcAjkp6RNCHFekbE0rT8JtAzLfcGFuftW51idcWrC8Q/RtIESXMlzV2+fHlT+mNmZnmaOnF9cEQskfQpYKakl/M3RkRIiiYeo14RcSNwI8CQIUM+8eOZmZWLJp1JRMSS9P4WcB+5OYVlaaiI9P5WKr4E6JO3e0WK1RWvKBA3M7Nm0ugkIamTpM5bloHDgBeA6cCWK5TGA/en5enAiekqp+HA2jQs9TBwmKSuacL6MODhtG2dpOHpqqYT8+oyM7Nm0JThpp7Afemq1B2B2yPiD5LmAHdLOgV4Dfh6Kj8DOAKoAtYDJwFExCpJlwFzUrlLI2JVWj4duAXoADyUXmZm1kwanSQi4lVgvwLxlcAhBeIBnJFR11RgaoH4XGDfxrbRzMyaxo/lMDOzTH4sh5mVtdc/uyvzXhkAwIpenYrcmtLjJGFmZW3WMf2Y9d6VuZVFRW1KSfJwk5mZZXKSMDOzTE4SZmaWyXMSZlbW9n9iCWM//wAAb+7emWuWHV/kFpUWJwkzK2uD/rKUsac/WLPuJLE1DzeZmVkmJwkzM8vkJGFmZpmcJMzMLJOThJmZZXKSMDOzTE4SZmaWyUnCzMwyOUmYmVkm33FtZmXtlf2686fnDgTgzYrORW5N6XGSMLOy9uToSp7kgtzKkuK2pRQ5SZjZJ6Zy4u+L3QRrIs9JmJlZJicJMzPL5OEmMytrB/5hEd8edTuQm7i+YMlZRW5RaXGSMLOytvdzKxh53pM1604SW/Nwk5mZZXKSMDOzTE4SZmaWyUnCzMwyOUmYmVkmJwkzM8tU8klC0mhJr0iqkjSx2O0xMysnJZ0kJLUBfgkcDgwAxkkaUNxWmZmVj5JOEsBQoCoiXo2ITcCdwJgit8nMrGwoIordhkySjgFGR8S30/oJwLCIOLNWuQnAhLS6N/BKgeq6Ays+weYWg/vUMrS2PrW2/oD7BLBHRPSoHWwVj+WIiBuBG+sqI2luRAxppiY1C/epZWhtfWpt/QH3qS6lPty0BOiTt16BfxbEzKzZlHqSmAP0k9RXUjtgLDC9yG0yMysbJT3cFBGbJZ0JPAy0AaZGxIuNrK7O4agWyn1qGVpbn1pbf8B9ylTSE9dmZlZcpT7cZGZmReQkYWZmmVp9kpA0WdISSfPS64i8beenx328ImlUMdvZGJLOlRSSuqd1Sbo29Wm+pAOK3caGkHRZau88SY9I+pcUb5H9AZD0X5JeTu2+T1KXvG0t8u9O0rGSXpT0oaQhtba1yD5B63j0j6Spkt6S9EJebDdJMyUtTO9dG1V5RLTqFzAZ+M8C8QHAc8BOQF/gH0CbYrd3G/rVh9yE/mtA9xQ7AngIEDAceLrY7WxgX3bJWz4b+L8tuT+p7YcBO6blK4Ar0nKL/bsD+pO7WfUxYEhevCX3qU1q72eAdqkfA4rdrkb044vAAcALebErgYlpeeKWv8FtfbX6M4k6jAHujIj3IuKfQBW5x4C0FD8DzgPyrzwYA9waObOBLpJ6FaV12yAi1uWtduKjPrXI/gBExCMRsTmtziZ3jw+04L+7iFgQEYWeZtBi+0QrefRPRDwOrKoVHgNMS8vTgKMaU3e5JIkz02n/1LxTrt7A4rwy1SlW8iSNAZZExHO1NrXkPk2RtBg4Hrg4hVtsf2o5mdwZEbSePuVryX1qyW2vT8+IWJqW3wR6NqaSkr5PoqEk/RH4dIFNFwLXA5eR+3Z6GXAVuf9pS1o9fbqA3HBGi1FXfyLi/oi4ELhQ0vnAmcCkZm1gI9TXp1TmQmAzcFtztq2xGtIna3kiIiQ16n6HVpEkIuLQhpSTdBPwYFot6Ud+ZPVJ0r+SG/d9ThLk2v03SUMp4T419L8RuQ/TGeSSRMn2B+rvk6RvAUcCh0QaGKaF9ylDSfepHi257fVZJqlXRCxNw7RvNaaSVj/cVGsM+2hgy+z/dGCspJ0k9QX6AX9t7vZtq4h4PiI+FRGVEVFJ7vT4gIh4k1yfTkxXBQ0H1uadbpYsSf3yVscAL6flFtkfyF0xQ27O6CsRsT5vU4v8u6tHS+5Ta370z3RgfFoeDzTqTLBVnEnU40pJ+5MbbloEnAoQES9Kuht4idxwwBkR8UHRWrl9zCB3RVAVsB44qbjNabDLJe0NfEjuaq3TUryl9gfgF+Su9pmZzvhmR8RpLfnvTtLRwHVAD+D3kuZFxKiW3KfYvo/+KRpJdwAjgO6SqsmdiV8O3C3pFHL/X329UXV/dBZsZma2tVY/3GRmZo3nJGFmZpmcJMzMLJOThJmZZXKSMDOzTE4SZmaWyUnCzMwy/X+xC8D2j7LYXQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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MzCyTi4SZmWXyNQkzy80dK45mz+rCYzleOahbztlYKS4SZpabHy6+gNobk0bkmopl8HCTmZllcpEwM7NMLhJmZpbJ1yTMLDc/7XVj7YXr3844lSdGVOSbkG3GRcLMcnNq1xnQtTD/+LVHuUiUIQ83mZlZJhcJMzPL5CJhZmaZXCTMzCyTi4SZmWVykTAzs0wuEmZmlslFwszMMrlImJlZJn/j2sxyc/3S0ez5RuGxHM9+rmfO2VgpLhJmlpvrl54GO6eFQ3NNxTJ4uMnMzDK5SJiZWaYGi4SkvSQ9KuklSS9K+naKd5E0U9KC9No5xSXpBklVkuZKOqSorzGp/QJJY4rigyS9kLa5QZLq24eZmbWOxpxJbAS+GxH9gWHAeZL6AxcDj0REX+CRtAxwDNA3TWOB8VD4wAcuA4YCQ4DLij70xwNfL9qu5tdus/ZhZtuA31Zczr07/4B7d/4BR9y1IO90rIQGL1xHxBJgSZp/W9J8oBdwAjA8NZsMzAIuSvHbIiKA2ZI6SeqZ2s6MiJUAkmYCIyTNAnaPiNkpfhtwIvBgPfsws23Akbs/A7sX5vf++5p8k7GSmnRNQlIFMBB4CuiRCgjAm0CPNN8LWFS0WXWK1RevLhGnnn3UzWuspEpJlcuWLWvKWzIzs3o0ukhI2hW4G7gwItYWr0tnDbGFc9tEffuIiIkRMTgiBnfv3n1rpmFmtl1pVJGQtCOFAnF7RPwxhZemYSTS61spvhjYq2jz3ilWX7x3iXh9+zAzs1bQmLubBNwCzI+I64pWTQNq7lAaA9xXFD8j3eU0DFiThoxmAEdJ6pwuWB8FzEjr1koalvZ1Rp2+Su3DzMxaQWO+cf054HTgBUnPpdgPgauBOyWdA7wOfCWtmw6MBKqA9cBZABGxUtKVwDOp3RU1F7GBc4FbgQ4ULlg/mOJZ+zAzs1bQmLub/gIoY/URJdoHcF5GX5OASSXilcCnSsRXlNqHmZm1Dn/j2szMMrlImJlZJhcJMzPL5EeFm1luLqk+nx6LCr8n8V9H75NzNlaKi4SZ5WbKyhGwS1o4ONdULIOHm8zMLJOLhJmZZXKRMDOzTC4SZpab+/f/No91/gaPdf4Gx936Ut7pWAm+cG1mufl0x79Dx8J8t6Xr803GSvKZhJmZZXKRMDOzTC4SZmaWyUXCzMwyuUiYmVkmFwkzM8vkImFmZplcJMzMLJOLhJmZZfI3rs0sN+e89iO6LVkHwBMn759zNlaKi4SZ5eaRt4fCrmnBNaIsebjJzMwyuUiYmVkmFwkzM8vkImFmuXmq3xnM3Xs0c/cezVd/9Xze6VgJvnBtZrnpseNK6FSY7/jOB/kmYyX5TMLMzDK5SJiZWSYXCTMzy9RgkZA0SdJbkuYVxcZJWizpuTSNLFp3iaQqSa9IOrooPiLFqiRdXBTvI+mpFP+DpJ1SfOe0XJXWV2ypN21mZo3TmDOJW4ERJeK/iIiD0zQdQFJ/YBRwYNrm15LaSWoH/Ao4BugPjE5tAa5Jfe0PrALOSfFzgFUp/ovUzszMWlGDRSIiHgNWNrK/E4CpEfFeRLwGVAFD0lQVEa9GxPvAVOAESQIOB+5K208GTizqa3Kavws4IrU3M7NW0pJrEudLmpuGozqnWC9gUVGb6hTLincFVkfExjrxTfpK69ek9puRNFZSpaTKZcuWteAtmZlZseYWifHAfsDBwBLg51sso2aIiIkRMTgiBnfv3j3PVMzMtinNKhIRsTQi/hkRHwI3UxhOAlgM7FXUtHeKZcVXAJ0k7VAnvklfaf0eqb2ZmbWSZn3jWlLPiFiSFk8Cau58mgbcIek64BNAX+BpQEBfSX0ofPiPAk6NiJD0KHAKhesUY4D7ivoaAzyZ1v9HRERz8jWz8nTsguvZY/kGAF4es2/O2VgpDRYJSVOA4UA3SdXAZcBwSQcDASwEvgEQES9KuhN4CdgInBcR/0z9nA/MANoBkyLixbSLi4Cpkn4CPAvckuK3AL+XVEXhwvmoFr9bMysr8zbsD7ukhV3qbWo5abBIRMToEuFbSsRq2l8FXFUiPh2YXiL+Kh8NVxXH3wW+3FB+Zma29fgb12ZmlslFwszMMrlImFluFg44tnY665rKvNOxElwkzMwsk4uEmZllcpEwM7NMLhJmZpbJRcLMzDK5SJiZWSYXCTMzy+QiYWZmmVwkzMwsk4uEmZllatbvSZiZbQlDXppM+3UfALDs3C45Z2OluEiYWW7e2tgVdk4LO9fb1HLi4SYzM8vkImFmZpk83GRmufn4Dis+uibxfhc27LZTzhlZXS4SZpabp/uPqZ2//LRx/O6iwTlmY6V4uMnMzDK5SJiZWSYXCTMzy+QiYWZmmVwkzMwsk4uEmZllcpEwM7NMLhJmZpbJRcLMzDK5SJiZWaYGi4SkSZLekjSvKNZF0kxJC9Jr5xSXpBskVUmaK+mQom3GpPYLJI0pig+S9ELa5gZJqm8fZrbtqJj7QO3kR3KUp8acSdwKjKgTuxh4JCL6Ao+kZYBjgL5pGguMh8IHPnAZMBQYAlxW9KE/Hvh60XYjGtiHmZm1kgaLREQ8BqysEz4BmJzmJwMnFsVvi4LZQCdJPYGjgZkRsTIiVgEzgRFp3e4RMTsiAritTl+l9mFmZq2kudckekTEkjT/JtAjzfcCFhW1q06x+uLVJeL17WMzksZKqpRUuWzZsma8HTMzK6XFjwqPiJAUWyKZ5u4jIiYCEwEGDx68VXMxsy3nUx2q2GP5BgBefntfVuy5S84ZWV3NPZNYmoaKSK9vpfhiYK+idr1TrL547xLx+vZhZtuIB/peyO2fvYTbP3sJx0+en3c6VkJzi8Q0oOYOpTHAfUXxM9JdTsOANWnIaAZwlKTO6YL1UcCMtG6tpGHprqYz6vRVah9mZtZKGhxukjQFGA50k1RN4S6lq4E7JZ0DvA58JTWfDowEqoD1wFkAEbFS0pXAM6ndFRFRczH8XAp3UHUAHkwT9ezDzMxaSYNFIiJGZ6w6okTbAM7L6GcSMKlEvBL4VIn4ilL7MDOz1uNvXJuZWSYXCTMzy+QiYWZmmVwkzMwsk4uEmZllcpEwM7NMLX4sh5lZcy39oAsd1n0AwPpdd8w5GyvFRcLMcjN0/m0fLZT8hpXlzcNNZmaWyUXCzMwyuUiYmVkmX5Mws9wcsdtTdFuyDoAn3jyERft3yjkjq8tFwsxyc0ufK6FPYf7y08bxu4sG55uQbcbDTWZmlslFwszMMrlImJlZJhcJMzPL5CJhZmaZXCTMzCyTi4SZmWVykTAzs0wuEmZmlsnfuDaz3Lywfj/2WPEuAMt7dMw5GyvFRcLMcnNc1S8/WjgztzSsHh5uMjOzTC4SZmaWyUXCzMwy+ZqEmeVmdJc/02PR2wBMXzCcvx3cPeeMrC4XCTPLzb/3vgl6F+bX3NTHRaIMtWi4SdJCSS9Iek5SZYp1kTRT0oL02jnFJekGSVWS5ko6pKifMan9AkljiuKDUv9VaVu1JF8zM2uaLXFN4l8i4uCIqPlJqYuBRyKiL/BIWgY4BuibprHAeCgUFeAyYCgwBLisprCkNl8v2m7EFsjXzMwaaWtcuD4BmJzmJwMnFsVvi4LZQCdJPYGjgZkRsTIiVgEzgRFp3e4RMTsiAritqC8zM2sFLS0SATwkaY6ksSnWIyKWpPk3gR5pvhewqGjb6hSrL15dIr4ZSWMlVUqqXLZsWUvej5mZFWnphetDI2KxpI8DMyW9XLwyIkJStHAfDYqIicBEgMGDB2/1/ZmZbS9adCYREYvT61vAPRSuKSxNQ0Wk17dS88XAXkWb906x+uK9S8TNzKyVNLtISNpF0m4188BRwDxgGlBzh9IY4L40Pw04I93lNAxYk4alZgBHSeqcLlgfBcxI69ZKGpbuajqjqC8zM2sFLRlu6gHck+5K3QG4IyL+LOkZ4E5J5wCvA19J7acDI4EqYD1wFkBErJR0JfBMandFRKxM8+cCtwIdgAfTZGZmraTZRSIiXgUOKhFfARxRIh7AeRl9TQImlYhXAp9qbo5mZtYy/sa1meXm4bWfoduSdQC8sd8eOWdjpbhImFlu/nXhZR8tnJJfHpbNT4E1M7NMLhJmZpbJRcLMzDL5moSZ5ebCHrez5xuF35OY+sxxPHdoySfvWI5cJMwsNxf2mFL7dLdXrh/sIlGGPNxkZmaZXCTMzCyTi4SZmWVykTAzs0wuEmZmlslFwszMMrlImJlZJhcJMzPL5CJhZmaZ/I1rM8vNHSuOZs/qwmM5XjmoW87ZWCkuEmaWmx8uvgCUFkbkmopl8HCTmZllcpEwM7NMLhJmZpbJ1yTMLDc/7XVj7YXr3844lSdGVOSbkG3GRcLMcnNq1xnQtTD/+LVHuUiUIQ83mZlZJhcJMzPL5OEms+1AxcV/yjsFa6N8JmFmZplcJMzMLJOLhJmZZSr7IiFphKRXJFVJujjvfMzMtidlfeFaUjvgV8D/AqqBZyRNi4iX8s3MzMpdXhfrF179xVz2u7WU+5nEEKAqIl6NiPeBqcAJOedkZrbdKOszCaAXsKhouRoYWreRpLHA2LT4jqRXWrjfbsDyFvbRmpzv1uV8txJ9NNsNxi3nmvxyaaLMY6zyfA+N+TexT6lguReJRomIicDELdWfpMqIGLyl+tvanO/W5Xy3vraW8/aUb7kPNy0G9ipa7p1iZmbWCsq9SDwD9JXUR9JOwChgWs45mZltN8p6uCkiNko6H5gBtAMmRcSLrbDrLTZ01Uqc79blfLe+tpbzdpOvImJLJmJmZtuQch9uMjOzHLlImJlZJheJRNL/lfSypLmS7pHUKcUrJG2Q9FyafpN3rpCdb1p3SXqMySuSjs4zz2KSvizpRUkfShpcFC/XY1wy37SuLI9xDUnjJC0uOqYj886plLb42B1JCyW9kI5rZd751CVpkqS3JM0rinWRNFPSgvTaudEdRoSnwnWZo4Ad0vw1wDVpvgKYl3d+Tci3P/A8sDPQB/g70C7vfFNu/YADgFnA4KJ4uR7jrHzL9hgX5TgO+F7eeTSQY7t07PYFdkrHtH/eeTUi74VAt7zzqCe/w4BDiv+fAq4FLk7zF9d8XjRm8plEEhEPRcTGtDibwncyylY9+Z4ATI2I9yLiNaCKwuNNchcR8yOipd+GbzX15Fu2x7iN8WN3toKIeAxYWSd8AjA5zU8GTmxsfy4SpZ0NPFi03EfSs5L+U9Ln80qqHsX5lnqUSa9Wz6jpyv0YF2srx/j8NBw5qUnDC62nrRzHugJ4SNKc9EigtqBHRCxJ828CPRq7YVl/T2JLk/QwsGeJVZdGxH2pzaXARuD2tG4JsHdErJA0CLhX0oERsbZM881VY3IuoayPcbmqL3dgPHAlhQ+0K4GfU/hjwlru0IhYLOnjwExJL6e/3tuEiAhJjf7uw3ZVJCLiyPrWSzoTOBY4ItLgXUS8B7yX5udI+jvwSWCrX7BqTr7k/CiThnLO2KZsj3GGsnhcTGNzl3Qz8MBWTqc5yuI4NlVELE6vb0m6h8KwWbkXiaWSekbEEkk9gbcau6GHmxJJI4AfAMdHxPqiePf0uxZI2hfoC7yaT5YfycqXwmNLRknaWVIfCvk+nUeOjVWux7geZX+M0wdBjZOAeVltc9TmHrsjaRdJu9XMU7iBpByPbV3TgDFpfgzQ+LPkvK/El8tE4eLjIuC5NP0mxU8GXkyxvwLH5Z1rffmmdZdSuGvkFeCYvHMtyuskCuPO7wFLgRllfoxL5lvOx7gov98DLwBz0wdEz7xzyshzJPC3dCwvzTufRuS7L4W7sJ5P/2bLLmdgCoUh3A/Sv99zgK7AI8AC4GGgS2P782M5zMwsk4ebzMwsk4uEmZllcpEwM7NMLhJmZpbJRcLMzDK5SJiZWSYXCTMzy/Tfd4lqOak6btMAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}