python_for_analytics

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   "execution_count": 1,
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   "metadata": {
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    "id": "YTwH6a-4s4dJ"
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   },
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   "outputs": [],
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   "source": [
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    "from sklearn.datasets import load_boston\n",
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    "import pandas as pd\n",
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    "import matplotlib.pyplot as plt\n",
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    "import seaborn as sns"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {
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    "colab": {
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     "base_uri": "https://localhost:8080/"
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    },
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    "id": "C50up3Bms_Fr",
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    "outputId": "e0b0a09d-dcf0-4305-f0fc-53908f868585"
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   },
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   "outputs": [
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    {
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     "name": "stderr",
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     "output_type": "stream",
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     "text": [
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      "C:\\Users\\shali\\anaconda3\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function load_boston is deprecated; `load_boston` is deprecated in 1.0 and will be removed in 1.2.\n",
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      "\n",
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      "    The Boston housing prices dataset has an ethical problem. You can refer to\n",
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      "    the documentation of this function for further details.\n",
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      "\n",
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      "    The scikit-learn maintainers therefore strongly discourage the use of this\n",
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      "    dataset unless the purpose of the code is to study and educate about\n",
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      "    ethical issues in data science and machine learning.\n",
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      "\n",
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      "    In this special case, you can fetch the dataset from the original\n",
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      "    source::\n",
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      "\n",
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      "        import pandas as pd\n",
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      "        import numpy as np\n",
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      "\n",
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      "\n",
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      "        data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n",
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      "        raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n",
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      "        data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n",
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      "        target = raw_df.values[1::2, 2]\n",
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      "\n",
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      "    Alternative datasets include the California housing dataset (i.e.\n",
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      "    :func:`~sklearn.datasets.fetch_california_housing`) and the Ames housing\n",
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      "    dataset. You can load the datasets as follows::\n",
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      "\n",
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      "        from sklearn.datasets import fetch_california_housing\n",
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      "        housing = fetch_california_housing()\n",
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      "\n",
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      "    for the California housing dataset and::\n",
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      "\n",
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      "        from sklearn.datasets import fetch_openml\n",
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      "        housing = fetch_openml(name=\"house_prices\", as_frame=True)\n",
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      "\n",
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      "    for the Ames housing dataset.\n",
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      "    \n",
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      "  warnings.warn(msg, category=FutureWarning)\n"
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     ]
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    }
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   ],
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   "source": [
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    "# нужный датасет встроен в библиотеку sklearn\n",
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    "data = load_boston()"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {
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    "colab": {
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     "base_uri": "https://localhost:8080/"
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    "id": "jFAyB7YzLva5",
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    "outputId": "9488aa23-8c38-4e36-9b82-fb967fd4f59c"
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "array([[6.3200e-03, 1.8000e+01, 2.3100e+00, ..., 1.5300e+01, 3.9690e+02,\n",
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       "        4.9800e+00],\n",
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       "       [2.7310e-02, 0.0000e+00, 7.0700e+00, ..., 1.7800e+01, 3.9690e+02,\n",
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       "        9.1400e+00],\n",
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       "       [2.7290e-02, 0.0000e+00, 7.0700e+00, ..., 1.7800e+01, 3.9283e+02,\n",
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       "        4.0300e+00],\n",
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       "       ...,\n",
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       "       [6.0760e-02, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9690e+02,\n",
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       "        5.6400e+00],\n",
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       "       [1.0959e-01, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9345e+02,\n",
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       "        6.4800e+00],\n",
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       "       [4.7410e-02, 0.0000e+00, 1.1930e+01, ..., 2.1000e+01, 3.9690e+02,\n",
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       "        7.8800e+00]])"
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      ]
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     "execution_count": 3,
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     "metadata": {},
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     "output_type": "execute_result"
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   "source": [
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    "data['data']"
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   "cell_type": "code",
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   "execution_count": 4,
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    {
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     "data": {
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      "text/plain": [
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       "array([24. , 21.6, 34.7, 33.4, 36.2, 28.7, 22.9, 27.1, 16.5, 18.9, 15. ,\n",
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       "       18.9, 21.7, 20.4, 18.2, 19.9, 23.1, 17.5, 20.2, 18.2, 13.6, 19.6,\n",
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       "       15.2, 14.5, 15.6, 13.9, 16.6, 14.8, 18.4, 21. , 12.7, 14.5, 13.2,\n",
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       "       13.1, 13.5, 18.9, 20. , 21. , 24.7, 30.8, 34.9, 26.6, 25.3, 24.7,\n",
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       "       21.2, 19.3, 20. , 16.6, 14.4, 19.4, 19.7, 20.5, 25. , 23.4, 18.9,\n",
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       "       35.4, 24.7, 31.6, 23.3, 19.6, 18.7, 16. , 22.2, 25. , 33. , 23.5,\n",
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       "       19.4, 22. , 17.4, 20.9, 24.2, 21.7, 22.8, 23.4, 24.1, 21.4, 20. ,\n",
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       "       20.8, 21.2, 20.3, 28. , 23.9, 24.8, 22.9, 23.9, 26.6, 22.5, 22.2,\n",
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       "       23.6, 28.7, 22.6, 22. , 22.9, 25. , 20.6, 28.4, 21.4, 38.7, 43.8,\n",
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       "       33.2, 27.5, 26.5, 18.6, 19.3, 20.1, 19.5, 19.5, 20.4, 19.8, 19.4,\n",
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       "       21.7, 22.8, 18.8, 18.7, 18.5, 18.3, 21.2, 19.2, 20.4, 19.3, 22. ,\n",
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       "       20.3, 20.5, 17.3, 18.8, 21.4, 15.7, 16.2, 18. , 14.3, 19.2, 19.6,\n",
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       "       23. , 18.4, 15.6, 18.1, 17.4, 17.1, 13.3, 17.8, 14. , 14.4, 13.4,\n",
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       "       15.6, 11.8, 13.8, 15.6, 14.6, 17.8, 15.4, 21.5, 19.6, 15.3, 19.4,\n",
142
       "       17. , 15.6, 13.1, 41.3, 24.3, 23.3, 27. , 50. , 50. , 50. , 22.7,\n",
143
       "       25. , 50. , 23.8, 23.8, 22.3, 17.4, 19.1, 23.1, 23.6, 22.6, 29.4,\n",
144
       "       23.2, 24.6, 29.9, 37.2, 39.8, 36.2, 37.9, 32.5, 26.4, 29.6, 50. ,\n",
145
       "       32. , 29.8, 34.9, 37. , 30.5, 36.4, 31.1, 29.1, 50. , 33.3, 30.3,\n",
146
       "       34.6, 34.9, 32.9, 24.1, 42.3, 48.5, 50. , 22.6, 24.4, 22.5, 24.4,\n",
147
       "       20. , 21.7, 19.3, 22.4, 28.1, 23.7, 25. , 23.3, 28.7, 21.5, 23. ,\n",
148
       "       26.7, 21.7, 27.5, 30.1, 44.8, 50. , 37.6, 31.6, 46.7, 31.5, 24.3,\n",
149
       "       31.7, 41.7, 48.3, 29. , 24. , 25.1, 31.5, 23.7, 23.3, 22. , 20.1,\n",
150
       "       22.2, 23.7, 17.6, 18.5, 24.3, 20.5, 24.5, 26.2, 24.4, 24.8, 29.6,\n",
151
       "       42.8, 21.9, 20.9, 44. , 50. , 36. , 30.1, 33.8, 43.1, 48.8, 31. ,\n",
152
       "       36.5, 22.8, 30.7, 50. , 43.5, 20.7, 21.1, 25.2, 24.4, 35.2, 32.4,\n",
153
       "       32. , 33.2, 33.1, 29.1, 35.1, 45.4, 35.4, 46. , 50. , 32.2, 22. ,\n",
154
       "       20.1, 23.2, 22.3, 24.8, 28.5, 37.3, 27.9, 23.9, 21.7, 28.6, 27.1,\n",
155
       "       20.3, 22.5, 29. , 24.8, 22. , 26.4, 33.1, 36.1, 28.4, 33.4, 28.2,\n",
156
       "       22.8, 20.3, 16.1, 22.1, 19.4, 21.6, 23.8, 16.2, 17.8, 19.8, 23.1,\n",
157
       "       21. , 23.8, 23.1, 20.4, 18.5, 25. , 24.6, 23. , 22.2, 19.3, 22.6,\n",
158
       "       19.8, 17.1, 19.4, 22.2, 20.7, 21.1, 19.5, 18.5, 20.6, 19. , 18.7,\n",
159
       "       32.7, 16.5, 23.9, 31.2, 17.5, 17.2, 23.1, 24.5, 26.6, 22.9, 24.1,\n",
160
       "       18.6, 30.1, 18.2, 20.6, 17.8, 21.7, 22.7, 22.6, 25. , 19.9, 20.8,\n",
161
       "       16.8, 21.9, 27.5, 21.9, 23.1, 50. , 50. , 50. , 50. , 50. , 13.8,\n",
162
       "       13.8, 15. , 13.9, 13.3, 13.1, 10.2, 10.4, 10.9, 11.3, 12.3,  8.8,\n",
163
       "        7.2, 10.5,  7.4, 10.2, 11.5, 15.1, 23.2,  9.7, 13.8, 12.7, 13.1,\n",
164
       "       12.5,  8.5,  5. ,  6.3,  5.6,  7.2, 12.1,  8.3,  8.5,  5. , 11.9,\n",
165
       "       27.9, 17.2, 27.5, 15. , 17.2, 17.9, 16.3,  7. ,  7.2,  7.5, 10.4,\n",
166
       "        8.8,  8.4, 16.7, 14.2, 20.8, 13.4, 11.7,  8.3, 10.2, 10.9, 11. ,\n",
167
       "        9.5, 14.5, 14.1, 16.1, 14.3, 11.7, 13.4,  9.6,  8.7,  8.4, 12.8,\n",
168
       "       10.5, 17.1, 18.4, 15.4, 10.8, 11.8, 14.9, 12.6, 14.1, 13. , 13.4,\n",
169
       "       15.2, 16.1, 17.8, 14.9, 14.1, 12.7, 13.5, 14.9, 20. , 16.4, 17.7,\n",
170
       "       19.5, 20.2, 21.4, 19.9, 19. , 19.1, 19.1, 20.1, 19.9, 19.6, 23.2,\n",
171
       "       29.8, 13.8, 13.3, 16.7, 12. , 14.6, 21.4, 23. , 23.7, 25. , 21.8,\n",
172
       "       20.6, 21.2, 19.1, 20.6, 15.2,  7. ,  8.1, 13.6, 20.1, 21.8, 24.5,\n",
173
       "       23.1, 19.7, 18.3, 21.2, 17.5, 16.8, 22.4, 20.6, 23.9, 22. , 11.9])"
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      ]
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     "execution_count": 4,
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     "metadata": {},
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    }
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   ],
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   "source": [
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    "data['target']"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 5,
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   "metadata": {
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    "colab": {
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     "base_uri": "https://localhost:8080/",
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     "height": 206
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    },
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    "id": "5r8JqpimtGvd",
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    "outputId": "83483965-4a0e-4720-e907-993dd6a4688a"
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   },
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   "outputs": [
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    {
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     "data": {
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      "text/html": [
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       "<div>\n",
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       "<style scoped>\n",
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       "        vertical-align: top;\n",
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       "\n",
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       "    .dataframe thead th {\n",
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       "        text-align: right;\n",
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       "    }\n",
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       "</style>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "  <thead>\n",
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th></th>\n",
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       "      <th>CRIM</th>\n",
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       "      <th>ZN</th>\n",
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       "      <th>INDUS</th>\n",
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       "      <th>CHAS</th>\n",
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       "      <th>NOX</th>\n",
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       "      <th>RM</th>\n",
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       "      <th>AGE</th>\n",
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       "      <th>DIS</th>\n",
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       "      <th>RAD</th>\n",
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       "      <th>TAX</th>\n",
228
       "      <th>PTRATIO</th>\n",
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       "      <th>B</th>\n",
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       "      <th>LSTAT</th>\n",
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       "      <th>MEDV</th>\n",
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       "    </tr>\n",
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       "  </thead>\n",
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       "  <tbody>\n",
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       "    <tr>\n",
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       "      <th>0</th>\n",
237
       "      <td>0.00632</td>\n",
238
       "      <td>18.0</td>\n",
239
       "      <td>2.31</td>\n",
240
       "      <td>0.0</td>\n",
241
       "      <td>0.538</td>\n",
242
       "      <td>6.575</td>\n",
243
       "      <td>65.2</td>\n",
244
       "      <td>4.0900</td>\n",
245
       "      <td>1.0</td>\n",
246
       "      <td>296.0</td>\n",
247
       "      <td>15.3</td>\n",
248
       "      <td>396.90</td>\n",
249
       "      <td>4.98</td>\n",
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       "      <td>24.0</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>1</th>\n",
254
       "      <td>0.02731</td>\n",
255
       "      <td>0.0</td>\n",
256
       "      <td>7.07</td>\n",
257
       "      <td>0.0</td>\n",
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       "      <td>0.469</td>\n",
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       "      <td>6.421</td>\n",
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       "      <td>78.9</td>\n",
261
       "      <td>4.9671</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>242.0</td>\n",
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       "      <td>17.8</td>\n",
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       "      <td>396.90</td>\n",
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       "      <td>9.14</td>\n",
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       "      <td>21.6</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>2</th>\n",
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       "      <td>0.02729</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>7.07</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.469</td>\n",
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       "      <td>7.185</td>\n",
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       "      <td>61.1</td>\n",
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       "      <td>4.9671</td>\n",
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       "      <td>2.0</td>\n",
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       "      <td>242.0</td>\n",
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       "      <td>17.8</td>\n",
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       "      <td>392.83</td>\n",
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       "      <td>4.03</td>\n",
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       "      <td>34.7</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>3</th>\n",
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       "      <td>0.03237</td>\n",
289
       "      <td>0.0</td>\n",
290
       "      <td>2.18</td>\n",
291
       "      <td>0.0</td>\n",
292
       "      <td>0.458</td>\n",
293
       "      <td>6.998</td>\n",
294
       "      <td>45.8</td>\n",
295
       "      <td>6.0622</td>\n",
296
       "      <td>3.0</td>\n",
297
       "      <td>222.0</td>\n",
298
       "      <td>18.7</td>\n",
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       "      <td>394.63</td>\n",
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       "      <td>2.94</td>\n",
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       "      <td>33.4</td>\n",
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       "    </tr>\n",
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       "    <tr>\n",
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       "      <th>4</th>\n",
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       "      <td>0.06905</td>\n",
306
       "      <td>0.0</td>\n",
307
       "      <td>2.18</td>\n",
308
       "      <td>0.0</td>\n",
309
       "      <td>0.458</td>\n",
310
       "      <td>7.147</td>\n",
311
       "      <td>54.2</td>\n",
312
       "      <td>6.0622</td>\n",
313
       "      <td>3.0</td>\n",
314
       "      <td>222.0</td>\n",
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       "      <td>18.7</td>\n",
316
       "      <td>396.90</td>\n",
317
       "      <td>5.33</td>\n",
318
       "      <td>36.2</td>\n",
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       "    </tr>\n",
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       "  </tbody>\n",
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       "</table>\n",
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       "</div>"
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      ],
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      "text/plain": [
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       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
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       "0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
327
       "1  0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
328
       "2  0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
329
       "3  0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
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       "4  0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
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       "\n",
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       "   PTRATIO       B  LSTAT  MEDV  \n",
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       "0     15.3  396.90   4.98  24.0  \n",
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       "1     17.8  396.90   9.14  21.6  \n",
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       "2     17.8  392.83   4.03  34.7  \n",
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       "3     18.7  394.63   2.94  33.4  \n",
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       "4     18.7  396.90   5.33  36.2  "
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      ]
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     },
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     "execution_count": 5,
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     "metadata": {},
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     "output_type": "execute_result"
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    }
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   ],
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   "source": [
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    "# добавляем target в сами данные\n",
347
    "df = pd.DataFrame(data['data'], columns=data['feature_names'])\n",
348
    "df['MEDV'] = data['target']\n",
349
    "df.head()"
350
   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {
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    "id": "q0uG3K3cti_L"
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   },
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   "source": [
358
    "Содержит информацию о жилье в Бостоне, собранную бюро переписи населения США. Она была получена из архива StatLib и широко использовалась в литературе для оценки алгоритмов.\n",
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    "\n",
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    "- CRIM - уровень преступности на душу населения\n",
361
    "- ZN - доля земли под жилую застройку,\n",
362
    "- INDUS - доля акров, не относящихся к розничной торговле.\n",
363
    "- CHAS - фиктивная переменная реки Чарльз (1, если участок ограничивает реку; 0 в противном случае)\n",
364
    "- NOX - концентрация оксидов азота \n",
365
    "- RM - среднее количество комнат в доме\n",
366
    "- AGE - доля занимаемых владельцами единиц, построенных до 1940 г.\n",
367
    "- DIS - взвешенное расстояние до пяти бостонских центров занятости\n",
368
    "- RAD - индекс доступности радиальных автомобильных дорог\n",
369
    "- TAX - полная ставка налога на имущество за 10 000 долларов США.\n",
370
    "- PTRATIO - соотношение учеников и учителей по городам\n",
371
    "- B - 1000 (Bk - 0,63) ^ 2, где Bk - доля афроамериканцев по городам\n",
372
    "- LSTAT - % более населения низкого соц статуса\n",
373
    "- MEDV - Средняя стоимость домов в 1000 долларов"
374
   ]
375
  },
376
  {
377
   "cell_type": "markdown",
378
   "metadata": {
379
    "id": "x_4aNGy5wfVM"
380
   },
381
   "source": [
382
    "## Корреляция"
383
   ]
384
  },
385
  {
386
   "cell_type": "code",
387
   "execution_count": 6,
388
   "metadata": {
389
    "colab": {
390
     "base_uri": "https://localhost:8080/",
391
     "height": 573
392
    },
393
    "id": "L-gaiS50tHpv",
394
    "outputId": "ab039f9a-064c-4b7e-f187-5ed0bb21f68c"
395
   },
396
   "outputs": [
397
    {
398
     "data": {
399
      "text/plain": [
400
       "<AxesSubplot:xlabel='CRIM', ylabel='MEDV'>"
401
      ]
402
     },
403
     "execution_count": 6,
404
     "metadata": {},
405
     "output_type": "execute_result"
406
    },
407
    {
408
     "data": {
409
      "image/png": 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AQPgRzFj0jdH5ptuyrQEAAOFHMGNRUc5AXT7M7rNNgs2mycU5bGsAAEAEEMwEwN/00aRR2Vo5szRCvQEAoG9LjHYH4k3Zvno1nzrr9fz5OWlaN3d8BHsEAEDfxsiMRf52zf6s4SSrmAAAiCCCGYu+MmyQ3zYfVjeFvyMAAEASwYxlUy4c4reNLQL9AAAA5xDMWPSH8s/9tplQNDgCPQEAABLBjGUb9/7T5/nM1CSWZAMAEEEEMxZlDEjyef6qUdkR6gkAAJAIZiwbV5jp8/wkghkAACKKYMaiCYW+82HIlwEAILIIZiwqyhmoied7DlhKCwaRLwMAQIQRzARg9a1jNLk4p8fxnQePa9aacjW3nolCrwAA6JsIZgJgT03SurnjNW5kpvp1Kyrzwf5GzV+/MzodAwCgDyKYCVB1Q4u21x5Tp+F+vMMwtKWqgS0NAACIEIKZABxoOqlvPrvVZxt/O2sDAIDQIJgJwDd+tVUtbR0+24wcTCIwAACRkBjtDsSbsn31OtF21ut5m6SvFuewqgkAgAhhZMai3314wOf5rLQkrZxZGqHeAAAAghmLDh5t9Xl+SHqy7Km+tzwAAAChQzBjUVZaclDnAQBAaBHMWHRhXnpQ5wEAQGgRzFiUmeZ7CikrrX+EegIAACSCGcty0n1PI2UPZJoJAIBIIpixqJ9sPs8ndN/fAAAAhBXBjEV1J077PH+4+VSEegIAACSCGcvy0gf4PJ9vT4lQTwAAgEQwY9k//YzM/NPh+zwAAAgtghmLjp5s93n+V+9V6WCT78J6AAAgdAhmLJp24RCf59s7DF2/8v0I9QYAABDMWFSQleq3jeP0Wb1f1RCB3gAAAIIZiw742ZvJ6Y1PDoW5JwAAQCKYsWyEiZEZAAAQOQQzYVJVf0LNrWei3Q0AAHo9ghmLPqppMtVuz+ETmr9+Z5h7AwAACGYsM7ddQYdhaEtVg2oaT4a5PwAA9G0EMxbl231XAO6utolgBgCAcCKYsajTYvtENp4EACCsCGYssrqa6WynEaaeAAAAiWAm7EYOTot2FwAA6NWiGsysXr1ao0ePVkZGhjIyMnTllVfqf//3f13nDcPQsmXLlJ+fr5SUFE2dOlW7d++OYo+lj2qOmmrXzyZNLs5RYTbBDAAA4RTVYGbYsGF6/PHHtWPHDu3YsUNXX321brzxRlfA8uSTT+rpp5/Ws88+q+3btysvL0/Tp0/XiRMnothrc9NG/Ww2rZxZGvC7VDe0aNO+elZDAQDgh80wjJhK6sjKytLPf/5zzZkzR/n5+Vq4cKGWLFkiSWpra1Nubq6eeOIJff/73/f4+ra2NrW1tbn+7HA4VFBQoObmZmVkZATdv7J99Zq9druptr+dO15fLc6xdP3jre1asL5CW7rs7TS5OEcrZ5bKnppk6VoAAMQrh8Mhu91u6vkdMzkzHR0d2rBhg06ePKkrr7xSNTU1qqur04wZM1xtkpOTNWXKFG3bts3rdVasWCG73e76KigoCGk/DzefMt32k8+PWb7+gvUV+mB/o9uxD/Y3UoAPAAAvoh7MVFZWauDAgUpOTtY999yjN954Q5dcconq6uokSbm5uW7tc3NzXec8efDBB9Xc3Oz6OnjwYEj723Ci3XTbK4ZnWrp2dUOLtlQ1qKPbYBkF+AAA8M5SMPPMM8/o6FFzCbBmXXjhhaqoqNCHH36oH/zgB5o9e7b27NnjOm+zuddpMQyjx7GukpOTXQnFzq9QOnayzX8jSZmpSZanmPztyE0BPgAAerIUzDzyyCPKz8/Xd7/7Xb3zzjsKRbpN//79NWrUKI0dO1YrVqzQ5Zdfrv/6r/9SXl6eJPUYhamvr+8xWhNJhontDDJTk/TWvKssX9tfDRuWeQMA0JOlYKaurk5r1qzR0aNHdd1112nEiBF6+OGHVVNTE7IOGYahtrY2FRYWKi8vTxs3bnSda29vV1lZmSZOnBiy97Pq4rx0n+fvuqpQO386QwWDrRXXk6SinIGaXJyjhG4jTwk2G8u8AQDwwlIwk5ycrFtvvVXvvvuuPvvsM915551at26diouLdc0112jDhg1uK4n8+clPfqL3339ftbW1qqys1NKlS7V582bdeuutstlsWrhwoZYvX6433nhDu3bt0h133KHU1FTdcsstlr/RUBniZ2+mD2ua1Nx6JuDrr5xZqkmjst2OTRqVHdQybwAAerOQLM1+9913tXbtWr355psaMGCAmpqaTL1u7ty5eu+993TkyBHZ7XaNHj1aS5Ys0fTp0yWdG6V55JFH9Otf/1rHjh3ThAkTtGrVKpWUlJjum5WlXWb8ofxzLXm90ut5m6SvFudo3dzxQb1PTeNJ1Tad1MjBaYzIAAD6HCvP78RQvGG/fv1ks9lkGIY6O81vxbhmzRqf5202m5YtW6Zly5YF2cPQ2Vvn8HnekFwrj4IJQgqzCWIAADAj4KXZBw4c0COPPKLCwkLNmDFDhw8f1osvvqgjR46Esn8xJyutv6l2rDwCACAyLI3MnD59Wq+99ppeeukllZWVaejQoZo9e7bmzJmjoqKicPUxpvQzsZpJYuURAACRYimYycvL0+nTp/WNb3xDb7/9tq699lr16xf1unsR9cFnjX7bsPIIAIDIsRTM/PSnP9WsWbOUnZ3tv3Evdbrdd05QenICK48AAIggS8HMokWLJElVVVX605/+pNraWtlsNhUWFuqmm27qE1NNI3PStPMfx72en35JXq/dELK6oUUHjraywgoAEFMsr2ZasWKF/uM//kOGYWjIkCEyDEMNDQ164IEHtHz5ci1evDgc/YwZ5/t5iI8aMjBCPYkcdvIGAMQySwkvmzZt0kMPPaSHHnpIjY2NOnLkiOrq6lzBzAMPPKAtW7aEq68xodHP3kwNJ8wXDYwX7OQNAIhllkZmnn/+ed1111096r5kZWXpZz/7merq6rR69WpNnjw5lH2MKTY/q5kcpwOv/ttVrEzpOHfy7q7rTt6++hcr3wcAoPeyFMyUl5frt7/9rdfzt99+u2bNmhV0p2LZBXm+p5Fe++SQGk60BzwFE2tTOmZ28vYUpMTa9wEA6L0sTTP985//1MiRI72eLyws7LHLdW8zoXCw3zbBTMHE2pROoDt5x9r3AQDovSwFM6dPn1b//t4r4CYlJam9vT3oTsW7rlMwVjindDq6bZcV6PVCIZCdvGPx+wAA9F6WVzP95je/0cCBnqdaTpw4EXSHYp2/aZeuPqpuspQnEuiUTritnFmq+et3uk0Z+drJO1a/DwBA72QpmBk+fLhefPFFv216M3/TLl098Hql/r/KOtN5IoFO6YSbPTVJ6+aON72Td6x+HwCA3slSMFNbWxumbsSPgxZGZqQv80TWzR3vt61zSueD/Y1uUzQJNpsmjcqO+miG2Z28Y/37AAD0Ln1rY6UQqPBR/dcTq3kiK2eWatIo9+0ifE3pxKre8n0AAGKfpZGZr3/961q/fr3sdrsk6bHHHtO8efM0aNAgSVJTU5O++tWvas+ePSHvaKz4yrBBAb3ObJ6I1SmdWNVbvg8AQOyzNDLzl7/8RW1tX1a4feKJJ3T06FHXn8+ePat9+/aFrncxaMqFQwJ6ndU8kcLsNE27cEjcBwC95fsAAMQuSyMzRreltt3/3Bc8+16VpfbkiQAAEF7kzFj035WHLbUnTwQAgPCyNDJjs9lk61Y8rfufe7usVO9FAyUpwSa9+6Op5IkAABAhlqeZ7rjjDiUnJ0s6VxH4nnvuUVrauQd213ya3ur7U87XtuqjXs93fDHzNi3A3BoAAGCNpWBm1qxZbiMxt912m8c2vdmUC4doQKJNp896zxeiwi0AAJFjKZh5+eWXw9SN+LJm9njduuYjr+epcAsAQORYCmbmzJnjt43NZtOaNWsC7lA8mFScrcnFOXq/qkFdx2dYuQQAQORZHpkZMWKESktL++SybKfjre0609Gp7n8DE4qyWLkEAECEWQpm7rnnHm3YsEHV1dWaM2eObrvtNmVlZYWrbzHrB7/7RP+3uqnH8VNtZ01tKAkAAELHUp2Z5557TkeOHNGSJUv09ttvq6CgQN/97nf1l7/8pc+M1FQ3tHgMZCRp5z+a9Z3nt6m59Yzfa2zaV+9zvyZvbcy8FgCAvsRmBBGFHDhwQC+//LLWrVunM2fOaM+ePRo4cGAo+xc0h8Mhu92u5uZmZWRkBH299eWf68HXK322mVyc43GX7OOt7VqwvkJbqhrc2q6cWeoa0fHW5tGbSvTQm7t8vhYAgN7CyvM7qArAziJ6hmGos7MzmEvFEf+xn7ddshesr9AH+xvdjn2wv1Hz1+/02+bGVVv9vhYAgL7IcjDT1tam9evXa/r06brwwgtVWVmpZ599Vp9//nnMjcqEQ9OJdlPtapt6Tg9tqWpQR7eBsA7DcAU/vtocaz3j87UAAPRVlhKA7733Xm3YsEHDhw/XnXfeqQ0bNmjw4MHh6ltMenfvP021615r5sDRVp/tuwc/VlCkDwDQl1kKZp5//nkNHz5chYWFKisrU1lZmcd2r7/+ekg6F4uaTvrfsuG8Qcmu4MQZZIzISvX5mpGD0wJOoqZIHwCgLwtqO4O+yEy8ceh4m+5cu13Sl0m6RTkDNbk4Rx/sb3SbLupeaM9bm4yURDlOnfX5WgAA+qKgVjPFg1CvZvrq43/VweOnTLd3Bhzr5o5Xc+sZzV+/0+eKJG9tHrupREtZzQQA6COsPL8JZiy66dmtqvhHs+XXbVo81TWCUtN4UrVNJzVycJrXURVvbcy8FgCAeGfl+W1pmgnSkPTkgF739t8O67JhdlcQ4i8Q8dSmuqFFB462EsgAANAFwYxF9S3+E4A9eXrjp67/tzo9ZKbYHgAAfVVQRfP6IoefrQrMsFrszkyxPQAA+iqCGYua24IPZqwUuzNTbA8AgL6MYMaiRJv/v7Isk1M/zlo0vjaPDGexPQAAegNyZiwqyknTP0/4zps5anIqKiu1v2atKfeaC3O8tV2r/rrf5zViqWAeCcoAgGggmLEoFCUDnbVnnnrnU6+5MOvmjteC9RXa+flxj9foZ5OuGpUTE0EDCcoAgGhimsmiOsfpoK8xaVS2fjTjAp+5MFs+rfd43qnTkM50dKo5BAnJwSJBGQAQTQQzFrV3dAb82jsnjtRv547XurnjdbTV9+7bOw8e93u98pqjUQ8YSFAGAEQbwYxFJ0+fDfi1a7fV6vY15Zq1plxZqf19th2akeL3erEQMJCgDACINnJmLDrbGfzuD84pGU+bSjrd/9rfldjPZur9aptORi13xsxu4AAAhBMjMxaNyhkY9DWcIyqLr71Ak0Zle21nNnCKZsDg3A08odtu6gk2myYXx0aCMgCgdyOYsSi1f4LptsVDfD/IPz/aqnVzx2vdnHEB9SVWAoaVM0t7BGWTRmVr5czSKPUIANCXMM1k0f7GFlPt0gck6hffuVw3rtrmtc0r22r1jdH56ghw5ipWAgZ7apLWzR3Pjt4AgKggmLHIZpirNNPadlZPvVOlsSMytePAMY9tttce05ZPG1T5j+Om37+fpEvyM7TylitiLmAwsxs4AAChRjBjUWpygnTCf7sOQ9pS1aCHv3Gx12BGkma9VO71XIJNykhJ0rEutWSuohgdAABuCGYsOnPWWp2ZARZybLqbNOpc4HK0tZ3pGwAAvCCYsaj5lNWKuzaNG5mpj2uPyUoYdFl+htbNHS/pXE6K1SAmFvZJioU+AAB6P4KZMHvw9UpJ0sDkBLW0dZh+XeVhh2oardePiYV9kmKhDwCAvoOl2RalJAc2bdRqIZBxCqR6bizskxQLfQAA9B0EMxalJQU2mOWcYupnYdttq8XwYmGfpFjoAwCgbyGYsSgjyGmSS/IzTLULpBheLOyTFAt9AAD0LeTMWDRkYHJQr1858wpJ0ofVTa58Gk8Wz7jA8rUjsU+Sv6Re9moCAEQawYxFJ9oC2zU7wWZT6fBBriXWefYBPts3tbZbXg3k3Cep++aVCTabJo3KDmpFkdmk3nD2AQAAT2yG4WHL5l7E4XDIbrerublZGRnmpnh8+ddVW7XzYLPl12Wmuhe/81UZWJLGjczU9tovz5tdDdTcekbz1+8M+UqiWWvKvQYoziXk4e4DAKDvsPL8Jpix6K5XtuvdvfWWXnPZeRnac/iEWyDQzyb52hS7+3lvgYM3odwnqbqhRVc/Veb1/KbFUz2+B3s1AQACZeX5zTSTRYf8JLh25Zxa8jQC4yuQ8XTeuRpoy6f16jDkN0AI5T5JZpJ6Pb0XezUBACKBYMaiOsdp020nFGXp1vHDfU4nWTXrpe2u/4/U1I2/pN4Em02b9tUzAgMAiIqoLs1esWKFxo0bp/T0dA0ZMkQ33XST9u3b59bGMAwtW7ZM+fn5SklJ0dSpU7V79+4o9VhKSzYf/53p6NTFfpZid78BVm6IsxBddUOLNu2rD1sNF2dSb4LNvUhOP53LBZr1UrnuXLtd036xWbPWlKu51eqWDwAABC6qwUxZWZnmzZunDz/8UBs3btTZs2c1Y8YMnTz55UP5ySef1NNPP61nn31W27dvV15enqZPn64TJ0xsXR0G2RaWZm+vPSabzeYxEEiw2VRaMKhH3ZkxIzNVWjDIVHE959TT1U+VhT2YWDmzVJNGZbsds6cmydFtryoq/QIAIi2mEoAbGho0ZMgQlZWVafLkyTIMQ/n5+Vq4cKGWLFkiSWpra1Nubq6eeOIJff/73/d7zVAnAF/1+Hv6x3HzU01r7xynKwoye6zu6b66KVSsJgpb5UzqTbDZNOulcq/tvCUFAwBghpXnd0xVAG5uPrfkOSsrS5JUU1Ojuro6zZgxw9UmOTlZU6ZM0bZt2zxeo62tTQ6Hw+0rlE6dtbbHUmI/m+ypSVo3d7w2LZ6qtXeO07gRmXKcMlevpp/OrYYyK9zbBhRmp2nahUN6bFfQHZV+AQCREjPBjGEYWrRoka666iqVlJRIkurq6iRJubm5bm1zc3Nd57pbsWKF7Ha766ugoCCk/UxJtLbR5O1ryvWvqz7Q//ztsKRzybTbDxzzGww4dUqqPOTQuBGZPaaqfAl3MEGlXwBArIiZ1Uw//OEP9fe//11bt27tcc7W7SFuGEaPY04PPvigFi1a5Pqzw+EIaUAzPCvN0jSTJO08eFzzvsgjKTG5N1N3d0wcqZT+/3CbqvIl3MEElX4BALEiJkZm5s+fr7feekubNm3SsGHDXMfz8vIkqccoTH19fY/RGqfk5GRlZGS4fYXShXnpQb1+z+HApr0uOc/eY6rKm0A2qQyEp6TgSaOytXJmadjfGwAAp6iOzBiGofnz5+uNN97Q5s2bVVhY6Ha+sLBQeXl52rhxo0pLzz0g29vbVVZWpieeeCIaXda+uuBycDq/+K+/CsBO/SRd9UVw4tyrKcEmbfdRuyaQTSoD4cwFslrp1+qeUwAA+BLVYGbevHl69dVX9ac//Unp6emuERi73a6UlBTZbDYtXLhQy5cvV3FxsYqLi7V8+XKlpqbqlltuiUqf9/0zNEvCL8xL194j/q81cECillx7oWatKTc9xdTU2h5s9ywxW+nX7GaVAABYEdVpptWrV6u5uVlTp07V0KFDXV9/+MMfXG3uv/9+LVy4UPfee6/Gjh2rQ4cO6Z133lF6enDTPYFK6R+a+G9gcqI2LZ6qEj8rlU62dei2lz7SB/sbTV87VpNvF6yv6PF9UJcGABCsqE8z+WOz2bRs2TItW7Ys/B0yYfzITP3j2Kmgr7O99pgOHm3VrkO+p606DMN0PZpYTr6tbmjxOLLUdSl5LPYbABD7YmY1U7w4cdp/fZiff3u0znYa+vs/jmt9+UGv7XYeDN2eTVJsJ98GulklAAD+EMxY9Fl9i9823xl7bin4hMIsn8FMaYH3FUlm/XbueJ3tNGI+mZa6NACAcImJpdlxxUTduht+9b6aW8943aAx4Yv9miZfkOPxfPe2g1I8J8dOPH+wvlqco2kXDonpQEbyvlml8+8i1vsPAIhdBDMWJZuoAFx52KG71+2Q5L8Wi6fz3dsWDxno8Vzs7KplDnVpAADhEFMbTYZDqDeavOuV7Xp3b72ptl03W/RXi6XreUmu/zcMQ1c/VWbqPeKF1bo0AIC+J243mowHXxk2yHTb//n7Ydf/+4sZnRs4Omu2OP/fTOKsL9UNLdq0r9618WT3P0dD1+8vULHwfQAAYgMJwBZ1yPxAVmNLm6lCcb4q4gaaOOvpfTNTk9yWecdjwToK7wEAumNkxiIrIzNfuzjXZ6G4463tmrWmXFc/VaY7127XtF9s1qw15WruEnAEmjjr6X2716uJx4J1FN4DAHRHMGPRlAuHKLW//7+25ASbjC8KwnV0m2JyFoq7e90OUw9mq4mzzgJ13d+3u64F6+KBt+8r3r4PAEBoMc0UgJtLz9PvPvJeP0aS2joMzXppu88222t7Fs3zVBHX6oaO/vJsuouXgnUU3gMAeEIwE4BXfRTCCxVPD2YzGzpWN7Sorvm0pfcKR8G6cOyMTeE9AIAnBDMW/aH8c3UGuZg9wWZT6fBB2nHA+3YGVh/MnhJjzfbDuSIqFEFHOBN0nflDH+xvdJtqiuU9qQAA4UfOjEUb9/4z6GtMGpWtNbPHhbQirqfE2O4yuwUTGSmJ2nHgmNfk40CEO0GXwnsAgO4YmbEoY0Bgf2WXnZehRTMudJt2WTmzVPPX73QbxbhixCB9d9wwS7tIe9uR2unxmy/ThKLBKsxOc+XdPLdpvz45cNytnTPoWDd3vPVv0Ec/QrkzttX8IQBA70cwY9HIAB+clYccPR68XR/Muw8165Vttdpee8yVGDx2RKbunDhSl5xnDyrhN9c+wPX6wuxzVYXNJB9bzXuJZIKumfwhAEDfQDBjUU76gIBf6+1hXpidpof/tFuffH7c7fiOA8dceTW+8k6sJsb6Czp2H2rWw3/abTnvhQRdAEA0kDNj0YTCrIBf6+1hbqYujK+8E6uF9fwFHa9sqw0o74WdsQEA0UAwY1FRzkClJFr7a/P3MDdTF8ZfYTgribG+go5xIzO1/cCxgAvTkaBrDXtMAUDwmGayqLqhRafOdlp6TdeHuac8FH8jJV11narqfi0ribGeko8njcrWd8cN85hP4+n9PSFB1xz2mAKA0CGYschKdd2uq4ic+zB5enh5q5/iSVt7h88HodnEWG9BR3VDi8/Xmc17IUHXN19L2ANdTQYAfRXTTBaZHUWZXJyj740f7nqg+6u/4ml6xpNnN+0PaS2Xwuw0TbtwiKuf5L2EH3tMAUBoEcxYVJQzUAP85MyMyEpxyxEx8/ByjpSsm+P7X+W7DjvC/iAk7yW8zCxhBwCYxzSTRdUNLTrtJ2dmzqRCt7yHj2qafLZ/62+H9M3Lz5NhGOowDBUPGaiqet/TPd6EopYLeS/hxRJ2AAgtghmLzOTMPPz2Hv1lzz/1+M2j9dCbu/zul/TLjVX65caqkPQvkAeht+J45L2EB3tMAUBoEcxYZDZnZttnTbpx1VY5Tp0N2Xs7H3aSQvIgZEVN9HhbTcZUHgBYZzMMP8tn4pzD4ZDdbldzc7MyMjJCcs1Za8q1tapB1hZoB6/kvAwt/9fLNCIrrceDMJAgZNaacq9BEStqIoOpPADwzMrzm2AmAJ83teobK9+X43ToRl28+Y9vXKw3PjmkXYcdrmPOwOVoa7vrQWgYhqV9lKobWnT1U2Vez29aPDWuHq5W95ECQonPHxB6Vp7fTDMF4KE3d+lkW/gDGUn686467T1ywu3YB/sbdde67bp32ihlpSZ53EfpRzMu0NHWdq+/XCO5KWQ4MVWGaOLzB8QGRmYs8jeiESoJNptKhw9ybTQZjO6/XI+3tuvudTt8VvqNl5EZpsoQTXz+gPCx8vymzoxFVioAB2PSqGzdOXFkSK7VvaDegvUV+uTAcY9t+0lxUxyP4nOIJj5/QOxgmskiK/sodVWUnabqbr/cJp4/WA/8n4vU9MV0kCRLWwuY5fzlur78c503KMXnUvFOSWc7O9Xceibmh8l7y1QZ4hOfPyB2EMxYVJQz8NzO0j6maLpLT07UgSb3X3z9JCX266fRBYPcjnf95WdlzyYzHny90lS7j6qPxsUeQRSfQzTx+QNiB9NMAfjNrHGyp5gftTjRdrZHMNIpmRqKXjmzVBOKsgLpZsDiZZicfaQQTXz+gNhBMBMAe2qSLs0PzTJvX/vwVDe06JODx3TmbGdUblQ87BHEPlKIJj5/QGxgmikA1Q0t2vaZ7/2WzPI0FO1puWc0hGOYPNT1ONhHCtHE5w+IDQQzAQjFiiZf2w8sWF+hD/Y3Bv0ed04cqbXbagN6bWZqkgzD0KZ99SH5BR2qehzsI4VYxOcPiC6CmQAEuqKpq4yURD12U0mP487lnqEQaCAjScdaz7jV0wm2EJinAM25ZNxMojHFyQAA3pAzEyWOU2e19M1dPY6bHfVJsNk0bmRmqLvlVfdaNVaEoh6Hr2AIANC3EcwEYPcRh/9GfnSt/dL1YW521GfSqGz9ZtY4TS7OichNDGaFk5l6HL5QnAwA4AvTTAFYF8T0TXfO2i/OKRNvtWUSbDZdMWKQ7p02ypUv8reDx1TXfCqiu3cHUggs2HocFCcDAPjCyIxF1Q0tlgrmmdV1ysTbcs/fzBqnaRcOUWZqkmatKdeNq7bp0/rQVAk2K5AVTsHW44hGcbLqhhZt2lfPqA8AxAFGZiwK195MXadMCrPTfC73XLC+Qlv3B5cknGCTOg2p68RNP0mX5meo8nDw02jdrZxZqvnrd7ol8Jqtx+FrtMrbirBAkWgMAPGHYMaiUKxk8qXrlImn5Z6hWu3U4WF3hE7JbyAT6JROsPU4ggmGrAh21RUAIPIIZiwqyhmokvMytOtQ6EcvpC+nTLzVU4nUrt3eeJvSMVsML9B6HJEoTuYtUOw+agYAiC0EMwF47KYS3bhqW0iv6ZwycebDeJvmCPfIkCSNG5mpTw4cNzWlE+lpmXAWJyPRGADiEwnAAbi8IDPkS6KdUyZm6qmUnJehfrbuVwiNzNQkPf2dr5jeb6Y31X9hF2QAiE+MzATIUw6HFZ6WWvub5vjO6m3afsDzSqqRg1NV2+R9ZKGfZGoJt+PUGS19c5epKZ3eNi0TyURjAEDoMDITIGcOx6bFU/Xv04t9tr14aLomnj/Y7VjXpdbOh6S/aY6PuwUy/SSV5Gdo0+Kp2vzjaR6XP3ftrxkdhtwCka796y7YYnixiF2QASD+MDITpMLsNN0wOl+/3Fjltc1zt45RYXaa35EOf9Mc3UdWOiXt6rL6yNdokePUWV1mYdm1mfyQ3jgtwy7IABB/GJkJgrOwmu2L4m/+isL5G+nwVlzOX36McwTEnpqkZd+8xGObDsNQ5WGHxo3MVIKJfBszgYjVYnjRKEQX6Hv6u1cAgNjByEwAPK3gmXj+YI0vzNL/rW5yHfM2PeFrGbOn0ZUxIzJ9Vh3uGnj4m/qZPXGk9te36FjrGY/nnbk8zgDJ38PcTP2XaBSio/gdAPQdNsMwPJRP6z0cDofsdruam5uVkZERkmvOWlPuNUn0kRsv9To9YeUB232aw9d7di3mVt3QoqufKvPa9x9Nv0BPbfzU6/mMAYlynD7rt3/dde2vYRhuwZrZvodSNN4TABA6Vp7fBDMW+QsWNi2e6nU0I5gHbHPrmR4jIN4CDU/vY1a/L7Y5sNo/yXOwNnZEpnZ4WYEl+f77ClQw9wgAEBusPL+ZZrIo0MJqwS5jtpKYunJmqe753cduU15mdXaLf6wss/ZUc+YTH4GMFJ5CdBS/A4C+hQRgiwJdwROqZcxmElPtqUlKSuhnqbCevw+Cv/45g7Xuo0H+atuEY8VTb1xlBQDwjmDGIqsreJwi+YB1BhbdR1l8uWJEps/z/vrnL1jrHlj5+/sKRqD3CAAQnwhmAhBIYbVIPWCrG1r09t8Pm25vkzRuRKb+3x9MDKp//oK1Md2CpXAXoqP4HQD0HSQAB8FqYTUrSbxWeUq+tWLT4qnKSu0fVP/8JTh3//syu9N2MCh+F3qRuG8AwGqmLsIZzAQqHA/YYFYwSdLaO89trWClf90famaDNWrAxCfuG4BIIpjpIhaDmVDztxTZDCvLlf091PwFQ9SAiU/cNwCRZOX5Tc5ML+Av+fbfpxdr0+KpIcvZ8bQE+4P9jZq/fqck3yuuvK166roEPBKsbnMQja0YYkms3DcA8IQ6M72Av+Tbb15+ngqz00xtPeBPsPVyol0DxupUidn2vT2PJNr3DUBsipXffQQzvYBzpZS3KQDnBywUO0Jbeah5+pAHskQ9lD8svkaVPE2V+GvfV/JIqN0DoKtY+91HMNNLWBl1KcwOLCg43tquVX/d77PNyMFpPj/kZgMv5/uF8ofF6qiSmfYP/2m3peAoXlm5bwB6P6v/MAy3qObMbNmyRTfccIPy8/Nls9n05ptvup03DEPLli1Tfn6+UlJSNHXqVO3evTs6nY1xzlGXTYunau2d47Rp8VStmzs+pBHygvUV2vn5cY/nuube+MupMVsDxt91rLJahdlf+w+rm/pUHgm1ewBIsZlDF9WRmZMnT+ryyy/XnXfeqW9961s9zj/55JN6+umn9fLLL+uCCy7Qo48+qunTp2vfvn1KT0+PQo9jX6CjLv54G6VwumLEIK2cWWp69MPfdFewuTmeWJ0q8dfe324RvS2PJBTTlADiXyzm0EU1mLnuuut03XXXeTxnGIaeeeYZLV26VDfffLMk6ZVXXlFubq5effVVff/7349kV/s0M1WF7502SvbUJH1y0PzGkr4Cr3D8sFidKvHXfnxhls/36615JOEKmAHEh1jMoYvZpdk1NTWqq6vTjBkzXMeSk5M1ZcoUbdu2zevr2tra5HA43L7Qk5mlxsdb2zVrTbmufqpMv9xY5fN6zg9vqD7k4fphsTpV4qs9e0AB6Iti8XdfzCYA19XVSZJyc3Pdjufm5urAgQNeX7dixQo98sgjYe1bPLOSVOspZ6W77qMazg/51qqGHjtmZ6YmKSu1v6l+hivh1OpUib/2oVjuDgDxJtZ+98VMBWCbzaY33nhDN910kyRp27ZtmjRpkg4fPqyhQ4e62t199906ePCg/vznP3u8Tltbm9ra2lx/djgcKigo6NUVgK0wW8XVbFVhT4FQc+sZTf3FJh1rPePWNsEmTRqVYzrTPZx7WYUaeSQA+qJw/u6zUgE4Zkdm8vLyJJ0boekazNTX1/cYrekqOTlZycnJYe9fPLKSVGumqrCzGF93TSfbegQy595HlpJ34ynhlDwSAH1RrPzui9mcmcLCQuXl5Wnjxo2uY+3t7SorK9PEiROj2LP4ZWVpstmqwsG+jxm+tkcAACCqIzMtLS3av//LImw1NTWqqKhQVlaWhg8froULF2r58uUqLi5WcXGxli9frtTUVN1yyy1R7HX8spJUG0zOSixmugMAeq+ojszs2LFDpaWlKi09lzC0aNEilZaW6qc//akk6f7779fChQt17733auzYsTp06JDeeecdaswEyGoGeqBF0ry9Tz9JJfnhzVvq6xtCAggMvzviW8wkAIeLlQSiviCQpNpAclY8vU9XoU7kjbV9QgDEB353xC4rz2+CmV7IzMaMkUqqrWk8qfnrP9Geww51dvmkeVpBFQyzq7QQe2Jl1130TfzuiF29YjUTrLPyLwyrGehmHzjd2xmGoV2HehYudK6gWl/+uf6laHBQD7FwbH3g67148IYG/yJGtEXydwfCi2CmFwnHLqZmHzje2n133DCf13/w9Uqv1zQrEvuE8OANvVjbdRd9TyzuMYTAxOzS7HgRK0lj4drF1OzO1d7avbKt1tT7BLMbdiRWT4V6B+++LhZ33UXfw8rL3oNgJkBd9y26c+12TfvFZs1aU65mD8XiIiHUtV0k8w8cX+221x7TuBGZPVY2dRfMQyzc+4Tw4A29cHxeAaticY8hBIZgJkCx9i/1cPwLw+wDx1+7OyaO7LHE2981rQp0GbkZPHhDj38RI1aE83cHIoecmQDEYtJYODZmNPvA8dfukvPsWnd5vmoaT+rD6kY9+Pouv9e0KpxbH/DgDb1wbSQKWBVP26bAO0ZmAhCr/1IP1b8wnHlAti+GWv0NwZodqi3MTtPM8SPCOqwbjq0PGIoOD/5FjFjCtinxjTozAfC3o/SmxVOj+gMR6L8wPK3YubJosGw2adtnTa5j3nbKNluML9Z2wzaz3DrW+tyb8C9iAJ5QNK+LcBXN642Flnx9T4/ceKmpB07XB5NhGD6DBE8PMW+BRTjquwSy3JoHLwBEBsFMF+EKZnrbv9RDOdoUSJDg7TWP3lSih97cFZa/594YkAJAb0EF4AiwpyZp2Tcv0Uc1R2WTNCHIKrbRFsriUYEUQ/P2mhtXbZXj1FlL1zIjFpO4ETpUagb6FoKZAPTGarChWrETSJDg6zXHPNTtCUXAQeXP3qk3/mwC8I/VTAGItRozoRCqFTuBrPTy9xor1zKL5da9U2/82QTgH8GMRb25GmwolsoGEiT4e42Va5nFcuvepzf/bALwjWkmi3rz9EQoikcFUgzN12syUhLlOHU2LIXVVs4s7ZHETZ2T+NWbfzYB+EYwY1FvnJ7onizp/ApUIEGCt9c8dlOJlnZbzRSqgIPKn71Lb/zZBGAOS7MD0FuW9IY7WTKQIMHbawg4YEZv+dkEQJ0ZN+EIZnpLjRl+8aO36S0/mwAIZtyEq2ieFN+jBbG+JQMQjHj+2QRwDkXzIiTY3JJoIlkSvVk8/2wCsI5gpo8iWTJwVJcFgNhCMNNHBbKEuq+juiwAxCaK5vVhoSiS15dQXRYAYhMjM30YdVbMY2NKAIhdBDMgWdIEEqYBIHYRzAAmkDDtHQnRCAc+V7CCYAYwgYTpnkiIRjjwuUIgSAAGTCJh2h0J0QgHPlcIBCMzgEkkTH+JhGiEA58rBIqRGcCiwuw0TbtwSJ/+pWomIRqwis8VAkUwA8AyEqIRDnyuECiCGQCWOROiE2w2t+MJNpsmF+f06VErBI7PFQJFMAMgICREIxz4XCEQNsPoss60F7KyhTgA60iIRjjwuYKV5zermQAEhQrSCAc+V7CCaSYAABDXCGYAAEBcI5gBAABxjWAGAADENYIZAAAQ1whmAABAXCOYAQAAcY1gBgAAxDWCGQAAENcIZgAAQFzr9dsZOLeecjgcUe4JAAAwy/ncNrOFZK8PZk6cOCFJKigoiHJPAACAVSdOnJDdbvfZptfvmt3Z2anDhw8rPT1dNpstpNd2OBwqKCjQwYMH2ZE7RnBPYg/3JDZxX2IP98SdYRg6ceKE8vPz1a+f76yYXj8y069fPw0bNiys75GRkcEHL8ZwT2IP9yQ2cV9iD/fkS/5GZJxIAAYAAHGNYAYAAMQ1gpkgJCcn6+GHH1ZycnK0u4IvcE9iD/ckNnFfYg/3JHC9PgEYAAD0bozMAACAuEYwAwAA4hrBDAAAiGsEMwAAIK4RzAToueeeU2FhoQYMGKAxY8bo/fffj3aX+owVK1Zo3LhxSk9P15AhQ3TTTTdp3759bm0Mw9CyZcuUn5+vlJQUTZ06Vbt3745Sj/ueFStWyGazaeHCha5j3JPoOHTokG677TYNHjxYqamp+spXvqKPP/7YdZ77Ellnz57VQw89pMLCQqWkpKioqEg/+9nP1NnZ6WrDPQmAAcs2bNhgJCUlGS+++KKxZ88e47777jPS0tKMAwcORLtrfcK1115rrF271ti1a5dRUVFhXH/99cbw4cONlpYWV5vHH3/cSE9PN1577TWjsrLS+Ld/+zdj6NChhsPhiGLP+4by8nJj5MiRxujRo4377rvPdZx7EnlHjx41RowYYdxxxx3GRx99ZNTU1BjvvvuusX//flcb7ktkPfroo8bgwYON//7v/zZqamqMP/7xj8bAgQONZ555xtWGe2IdwUwAxo8fb9xzzz1uxy666CLjgQceiFKP+rb6+npDklFWVmYYhmF0dnYaeXl5xuOPP+5qc/r0acNutxvPP/98tLrZJ5w4ccIoLi42Nm7caEyZMsUVzHBPomPJkiXGVVdd5fU89yXyrr/+emPOnDlux26++WbjtttuMwyDexIoppksam9v18cff6wZM2a4HZ8xY4a2bdsWpV71bc3NzZKkrKwsSVJNTY3q6urc7lFycrKmTJnCPQqzefPm6frrr9c111zjdpx7Eh1vvfWWxo4dq+985zsaMmSISktL9eKLL7rOc18i76qrrtJ7772nTz/9VJL0t7/9TVu3btXXv/51SdyTQPX6jSZDrbGxUR0dHcrNzXU7npubq7q6uij1qu8yDEOLFi3SVVddpZKSEkly3QdP9+jAgQMR72NfsWHDBn388cfasWNHj3Pck+iorq7W6tWrtWjRIv3kJz9ReXm5FixYoOTkZM2aNYv7EgVLlixRc3OzLrroIiUkJKijo0OPPfaYZs6cKYmflUARzATIZrO5/dkwjB7HEH4//OEP9fe//11bt27tcY57FDkHDx7Ufffdp3feeUcDBgzw2o57ElmdnZ0aO3asli9fLkkqLS3V7t27tXr1as2aNcvVjvsSOX/4wx/0u9/9Tq+++qouvfRSVVRUaOHChcrPz9fs2bNd7bgn1jDNZFF2drYSEhJ6jMLU19f3iKQRXvPnz9dbb72lTZs2adiwYa7jeXl5ksQ9iqCPP/5Y9fX1GjNmjBITE5WYmKiysjL96le/UmJiouvvnXsSWUOHDtUll1ziduziiy/W559/LomflWj48Y9/rAceeEDf+973dNlll+n222/Xv//7v2vFihWSuCeBIpixqH///hozZow2btzodnzjxo2aOHFilHrVtxiGoR/+8Id6/fXX9de//lWFhYVu5wsLC5WXl+d2j9rb21VWVsY9CpOvfe1rqqysVEVFhetr7NixuvXWW1VRUaGioiLuSRRMmjSpR9mCTz/9VCNGjJDEz0o0tLa2ql8/90dvQkKCa2k29yRAUUw+jlvOpdlr1qwx9uzZYyxcuNBIS0szamtro921PuEHP/iBYbfbjc2bNxtHjhxxfbW2trraPP7444bdbjdef/11o7Ky0pg5cyZLGyOs62omw+CeREN5ebmRmJhoPPbYY0ZVVZXx+9//3khNTTV+97vfudpwXyJr9uzZxnnnnedamv36668b2dnZxv333+9qwz2xjmAmQKtWrTJGjBhh9O/f37jiiitcy4IRfpI8fq1du9bVprOz03j44YeNvLw8Izk52Zg8ebJRWVkZvU73Qd2DGe5JdLz99ttGSUmJkZycbFx00UXGCy+84Hae+xJZDofDuO+++4zhw4cbAwYMMIqKioylS5cabW1trjbcE+tshmEY0RwZAgAACAY5MwAAIK4RzAAAgLhGMAMAAOIawQwAAIhrBDMAACCuEcwAAIC4RjADAADiGsEMAACIawQzAAAgrhHMAIi6uro6zZ8/X0VFRUpOTlZBQYFuuOEGvffee5KkkSNHymazyWazKSUlRRdddJF+/vOfq2sB89raWtlsNlVUVLj9OTExUYcOHXJ7vyNHjigxMVE2m021tbWR+jYBhAnBDICoqq2t1ZgxY/TXv/5VTz75pCorK/XnP/9Z06ZN07x581ztfvazn+nIkSPau3evFi9erJ/85Cd64YUX/F4/Pz9f69atczv2yiuv6Lzzzgv59wIgOghmAETVvffeK5vNpvLycn3729/WBRdcoEsvvVSLFi3Shx9+6GqXnp6uvLw8jRw5UnfddZdGjx6td955x+/1Z8+erbVr17ode/nllzV79uyQfy8AooNgBkDUHD16VH/+8581b948paWl9Tg/aNCgHscMw9DmzZu1d+9eJSUl+X2Pb37zmzp27Ji2bt0qSdq6dauOHj2qG264Iej+A4gNBDMAomb//v0yDEMXXXSR37ZLlizRwIEDlZycrGnTpskwDC1YsMDv65KSknTbbbfppZdekiS99NJLuu2220wFQgDiA8EMgKhxJvDabDa/bX/84x+roqJCZWVlmjZtmpYuXaqJEyeaep+5c+fqj3/8o+rq6vTHP/5Rc+bMCarfAGILwQyAqCkuLpbNZtPevXv9ts3OztaoUaN05ZVX6rXXXtMvf/lLvfvuu6bep6SkRBdddJFmzpypiy++WCUlJcF2HUAMIZgBEDVZWVm69tprtWrVKp08ebLH+ePHj3t8XWZmpubPn6/Fixe7Lc/2Zc6cOdq8eTOjMkAvRDADIKqee+45dXR0aPz48XrttddUVVWlvXv36le/+pWuvPJKr6+bN2+e9u3bp9dee83U+9x9991qaGjQXXfdFaquA4gRBDMAoqqwsFCffPKJpk2bph/96EcqKSnR9OnT9d5772n16tVeX5eTk6Pbb79dy5YtU2dnp9/3SUxMVHZ2thITE0PZfQAxwGaYHaMFAACIQYzMAACAuEYwAwAA4hrBDAAAiGsEMwAAIK4RzAAAgLhGMAMAAOIawQwAAIhrBDMAACCuEcwAAIC4RjADAADiGsEMAACIa/8/ibg+5A4cVV8AAAAASUVORK5CYII=\n",
410
      "text/plain": [
411
       "<Figure size 640x480 with 1 Axes>"
412
      ]
413
     },
414
     "metadata": {},
415
     "output_type": "display_data"
416
    }
417
   ],
418
   "source": [
419
    "# визуализируем взаимосвязь преступности и цены дома\n",
420
    "df.plot(kind='scatter', x='CRIM', y='MEDV')"
421
   ]
422
  },
423
  {
424
   "cell_type": "code",
425
   "execution_count": 7,
426
   "metadata": {
427
    "id": "zlHf0GACugC5"
428
   },
429
   "outputs": [],
430
   "source": [
431
    "# можем использовать pairplot для изучения взаимосвязи между множеством признаков\n",
432
    "# sns.pairplot(df, kind='reg')"
433
   ]
434
  },
435
  {
436
   "cell_type": "code",
437
   "execution_count": 8,
438
   "metadata": {
439
    "colab": {
440
     "base_uri": "https://localhost:8080/",
441
     "height": 574
442
    },
443
    "id": "hpb23QYBumwF",
444
    "outputId": "d6224540-a4ff-45b0-9b7c-c8c48606b63d"
445
   },
446
   "outputs": [
447
    {
448
     "data": {
449
      "text/plain": [
450
       "<AxesSubplot:xlabel='LSTAT', ylabel='RM'>"
451
      ]
452
     },
453
     "execution_count": 8,
454
     "metadata": {},
455
     "output_type": "execute_result"
456
    },
457
    {
458
     "data": {
459
      "image/png": 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1b78TM1Owzyu7ohRoSBUKz8nPwLL549Hi7tY9oUZSnUM4x2r3AM6c3W1EROHBQMVGpL6Bq337XfPtqQCgaYnJzCWpSKpzCPdYIyGAY28cIooUDFRsQOkbuNZvv3oavWWnJWPehBGK16s9XiTVOYRzrJESwLE3DhFFCgYqNqD2DVzq2+/UrGGm1ZIYWaqIpDqHcI41kgI4gL1xiMj+eNaPxbQchOhMSsAviy9HUVaq5/rqulYsqdiNdve5gMfzP7dHKRCSu35LTRPuXLtd9myiSDoDKJxjjaQAjogoEjBQsZjWgxCXVuzBrqNtPtd5Bxtt7m6UlFbhmtWbsKisGvNWbURJaRU+aWhVDIQ2H2qUvL4PwL7jLs/j+AdEQH+dw6y8dJ/L7FrnEK6xRlIAR0QUCbj0YzEt38C11D2seGe/ZNbklLtL8fF3N7SpjlGuEFSuzqG2qQO7GlqDrnswc3tvOGsyWKhKRGQeBioW01IsW3mwUfExtte2yAYy+44pN4YrHDtMdYxqhaBinYOY1Ql2W24ot/eGoyaDhapERObh0o/JpGpE1KwpLsTUrGE+l3l/A1fLuiif1wwUZKbILkXMGT9CcqlCirgMJUetFkYrsx7Hajnp/burGKQQERnHjIpJjGYBxPtV17V6LivKSvW5n1rW5dJRQxXH9twtk7Fqw6GApYjH5uej8mAjls0fDwCqhxYqFYKatS03Urb3EhFReDCjYhKtWQD/jIvU/XYdbQu4n1Ix6OoNNbLjmpOfgSljh6F88TRULpuLskVFeOfhmQCAm17chkVl1fjWi1sBAO8+MgsFo1MQ55dc0VIIqrUoWI1Zj0NERNGBGRUTaMkCpCYlBGRcirJTfTIpUvcTBAH1p9wYLpOV2XesTTETsuzr4z1/F+szSkqrJIMqAHh98XRDhaBmbcvl9l4iIvLGQMUEWrIAK96pCwgOdtYHBinellTsUiyG3Xq4GbuOnlJ8jJbObp9/qwVVp9zdhgpBzTo/hufQEBGRNy79mEAtCxDvcEj3KpE/xBgAcOC48o6dXkFAR1ev4m38MxBal1aMFIKqFQVrLTSOpP4sREQUWsyomEAtC+AfoPiLQ3+DNf9/qwUyavJHDPEJPIDQLa180tCKH761z+ckZ7EoWICga9syt/cSEZHIIQgqs6iNuVwuOJ1OtLe3IyUlxdKxtLvPBdR2iJNxS2cXrlm9Sfa+RVmpqPZaBirITPGZ8M3gHRiINSpSQZXe032ldjv5PyYA034eERFFPj3zNwMVk8llAdSCA+/7CYKgGNh43z9l8AC4zvSoZm28f5ZSUOWd4dDSGbaktApbDjcZzv5ULpvLbAkRUYzRM39z6cdkcp1P1dqq+99PainJ36y8dDx7cwF++PY+1R4o/n1IlJZWtPaEkSvM1cNupwkTEZG9MFDRQO+ZM1K311t3IRXYeCvKvtAUzvtxv2w/i8fX75V9XO/AQC6oUuoJ471Uo1aYqwW3GxMRkRIGKgr0dpvVcnutZ814ByBLKnbhwHGXz/LKrvo2n8BBfNzapg7Fx1ULDPR0hlUrzI0DMDs/A4B8jQqzKcrMPJiRiCgSWbo9OTs7Gw6HI+DPww8/bOWwPPSeOROKM2qE8wcL+teAeAcOojZ3N55894Dk42jpLgvo6wwr7naSOydo9vkgjduN9RMPeLxm9SYsKqvGvFUbUVJahXb3OauHRkQUVpZmVKqrq9Hbe6EPyL59+/C1r30NCxYssHBU/fSeOROqM2rUAod3PzmGb102GjnpyZKBkkhrYKB3+7LUElXB6BQ8d8tkTBkzzHOZnbcb2zFroXX5jYgo2lkaqGRkZPj8+/nnn8e4cePwla98xaIRXaAls+A9qWm9vZ5Jsc3djRf/fljxNv/9YQ3++8Ma2Xb8omVfH694OKJIb2dYPbU3Wpe9wsXoQZKhZoeDGe0YvBFRbLJNjUp3dzdee+01PProo3DILCV0dXWhq6vL82+Xy9xeI970ZhbU1tDOdvfqanoGAA++tgs7VNrsi3YoBCkAsKRiN367aJqmSUdth5KUUAYhoZo07Zq10Bskm8muwRsRxS7bBCpvv/022tracM8998jeZuXKlXjqqafCMh69mYU+/wfw8+LGw/js+Gmfy5QmxdqmDnxU26J5vGptTOpb3Ji3aqOmSccunWFDOWnaIWshx8qDGe0avBFR7LLNWT+lpaW4/vrrkZmZKXub5cuXo7293fOnoaEhpGPSUwSqNrnsO+YK6IkiVRAr+viI8mGDRukp7jVy3o+ZQlGcLNJTNBxuckXKWguijRKDNz3vUyKiULNFRqW+vh5//etfsX79esXbJSYmIjExMUyj0pdZUMrAXDpqqGJLfKlUftPps+Y8CT92yBhoEeqMh1qEbnV/FyPLb8GycsmJiEiOLQKVsrIyjBgxAjfccIPVQ5Gktf5CbnJ5bP543PTiVtn7SU2KGUMHGRssAIcDUDsYwe6Tjtqkub22xdD4lc4mAuzT38WK5Tcrl5yIiORYHqj09fWhrKwMCxcuxIABlg8nKEqTy5VZqdhV3+pTy6I0KV6VM9zwOK7MUt4BBAAD4qQLlu1CbdJcvn4v3t97Une9itIWbsB+/V3CuVNKb10WEVE4WF6j8te//hVHjx7Fvffea/VQTON9zqPYuGuHX5ACKE+KuRlDMCM3TfK6oYkDcOnIofAPNcQahjcfmInKZXNRkJki+wLfXVql2ECstqkDlQcbZesS1K4PllozOUB/vYpcDYbod4unoXzxtJje3WKX5nyhfn8RUeTg6ckmklpWSE1KgOvMOfR6/ZbjHMAVWal484GZio/X7j6Huasq0eoXTMQ7gKty0zAgLk5xR4zUKcm+j3PhRGWl5+D9uOHcvqo2fpHWE5grDzZiUVm17PVli4owb8II3eOMRlbt+Gpzd+O+dTt8tuVzezRR9NEzfzNQMVFJaZXqicfexAnWu0+IIAg+f79m9SbF+wNQnVA2H2pEyavyE7T3RF/8m+2S26Jn5Kah4t+mSz5HqYDHTG9UHVU8aFFrgFHb1KH6++TyhnXa3N2Yt2pjQGAunhll9fZoNsEjMo+e+Tuyi0JsRG6XipL9x9qx4p39svcryFR+8d775BgKxgxT/eDs1VhYq9S75aPaFmw+1GRJ75FpKvU6Wos8WYNhb/eX7wgIUoD+HkVW7lRjEzwia1leoxIt1HapSFm3rU6xsPOAwpZmAFj9YY2mA+vUClPjHQ5UHmzEn/eeULzd3//ZqHh9qHqPmNlXxC41GOSrtqlDtQDcyPvLjFqXUPbzISJ1zKiYRC0Y8BbvcGBq1jDVD2ax+DbOgYDTk/0pdQ+VyyTEoX+nUsmrVZrGnZY8UPH6UG5fNauviF267pIvLYG+nveXWVkQO3cwFnFJiqIdAxWTqAUD3intSzOH4vqCUaqBimhiZgr2HVPOrqh9cEpN9M7zhb5a3XhZJqrrWmXrcFa8s9+0dLj/h6/ZAYbdDkiMdWqBflFWqq7Xy6yjAOzcBI9LUhQruPRjIqllhdn5Gdi4bB7eeXimp+Zk3zEXnn7vgI7HnYr8Edo+DOXS4+JEX7lsLsoWFaH83mlodZ9TrV8RzRyXhpz0ZMnnKDIjHS5u575m9SbJZS2r2/rHonBsFb6wvBd4XWpSAtYuLNL8WGYeBWDnJnhckqJYwYyKiZS+9a+uqMFnJ06rPIKveIcDhRcPw98/+xI1jdo+XNUauYmZhMqDyvUm3sRvaUD/c3zyWxMld8+IE8EbVUdxVW6aoWBiacUebPFLtfNQPGuYuXyiZWlCKutXlJ2KtSVFun6emVkQuxZgR8KSFJFZGKiEgP+ygpEdQQCQMngAdtS3+vSUUHN3aZWmyURrTc3KWyejeNrFPpepTQTiVmK9k9qeo626Pny5Nh9awS6f6A10zFreMzsLYsW5S2rsvCRFZDYGKmGg9qHy/K2TcZFzkOcDtK6lE7+uPIxd9W2Gfp6WyUT8prjlcJNioe70891xvYMCreuFejMhP3pnn+L14ocv1+aN0xrcmfGN3WigE2z9kNlZEDsWYNt5SYrIbAxUwkDtQ2V06mBcnZ/h+bcgCJoLbaVomUxqmzrwr0VjsKehFa6zPZK3mZOfgdSkBJSUVvlMWmr9XfSMw3s8agXD4oevWYWSsURvcBfsN3arlyZCkQWxUwG2XZekiEKBgUoYyH2oiPyXa4z0ZJEiNZmonR7sbdn88ZJBgVp/Fy3j8Kf2nAsyUzxN6UI9AUbjkpLe4C7Yb+xWL03YMQtiNjsuSRGFAgOVMJH6UPHmPWloqR8RzwtSyrxITSZqpwd723/CJTlePf1d5MbhT+05P3fLZAChnQCjdUnJSHCn9I298OJhnt1lcr9ruyxNhOOEEKsC21gIxogAbk8OG/FDpfxe6aUJ70lDy8nBs/MysLakSFfH1k0HGxVPD/anvH+ov7+LEj2dY+WeswP92ZQWdzeONHeGdAKM1u2eWoI7KVJb0cUCb7WOyGZ2EzZCbZt7qH7Ggpe2mfoztOCWfYp2DFTCTC1IECeNNcWFuCpX+Ywb8XZqLeHFD9SFCicHe4tz9GcS1M7Y+Y+vT8DKWyfj+Vsn492HZ2GOV52N1Dj8+ffnkHouAoB9x12eieDJdw9gRm6a6ROgmb037MZocOffe6coOxWuM771TEqBnJXHFYQj6JTaSl9d34q5qyrDHqwQRTMu/YSZ1knDmZSAc719cKB/svbnvVSklv7Vs9wD9C/nnOvtQ1pyImaOS8O2zwMPKhyaOMDnRGZxieSUu1s1Da20xFK+eBoWvLwNO+tbJZeVth5uxlW5wzErL93UtXmraypCKdjCy5z0ZNkCb6XlI6uWJsJVxyS3jNvqPof7yqvx5gMzg/oZRNSPgUqYaZk02tzduLv0Y+xV2AXj/6ErtyPBaA+Xj4+0YEnFbsglgE53SX+zLl88Lahtq09+a6Ji3U2vIGDb5y2oXDYXAEybAO1SUxEqwRZeBhPIhXu3TDiCTrWfUV3XyqZrRCZhoGIBpUmjzd2Neas2Sh53L+Xj2hbFJmhGdxD1CdAV4Gj9tqr2bfd/dzZo+nl1LZ2mrstH+3bPYLMbkRTIhWOsWgreIzkLR2QnDFQsIE4amw81YndDG6ZenOrpo3LbS9s0BylAfxfYv+w9iWduLsCP3t4X0H78+oJRpo9fidqHs1rg9OuNtZp+TigmxljY7mk0uxFJgVw4xpqbMQRXZqUqdo22U/BGFMkYqFhArkbjsfn5utrli7YebsaNa/6BDr/lmOq6VtlllHiHAymDB6Ddfc6z3dgMah/OZlRv6z1JVytu91QWSYHcY/Pzccrd5dNE0Oyxli4swtxVlQFfLOIdwKy80O9sIooVDFQsIFejccrdZejxegVBtrusnFl56Xj25gL80C8LIxK/fQLAlpomTcFMalIChicNlLxOT6M5NffMzA76MZTYqQOpnSgFcnZpkif1PivITMFzt0zGlLHDTP1ZzqQEbFw2D/eVV/t8IZiVl2HL4I0oUjmEcHREChGXywWn04n29nakpGhr62612qYOyZOHw+X5Wyd7TjYWJ5euc734VeVhn2+f3icmKzWq8yZ+k5TqdFpSWiXbmVevymVzbTdBxiq7NcmTep+JQXcoj1dgFo5IHz3zNzMqYaalVfyB4y5Tl2O8fXn6LFxnulFSuj9gcnn3kVlo6ewO+LB98lsTNQVXvecLcKVOOVYKdP7rX6bgP/70qerjxzn6G93Z5WBCBkn2OnfJyvOFmIUjCh0GKmGmpVX8qg2HTFkikfLfH9bgvz+sCbhcnGykJhe9O4f8C2rV7p+RkqjpJOcrslI9WZ5wTpD+AYkdgiQ70BoYiL+/eEd/MBuqwC6ae+EQxTIGKmGmtiNhythhnjqAJRW7+rMrXpN3vANIGZyga2eQFnLfOtvc3Xhhw0Fdj+VfUKtlu6jSWUhx6A9SxAZa4frmLBeQuM6cw6dftPncNppOb9aaKVILDPYdb8eKd/ZLvlahCOzsvoWaGTgiYxioWEDL7omc9GS8vni6xO0udIB995NjktmRYGyvbfZZa19asQf7NZ6W7L39s7apAx8fOQUHgMxhg1XvKxZqftrQhife2ot9Xj9zdr5vcWK4vjlLZW3kMl1mB0lWTGp6M0XDVYKM8m112FXfJnldKAI7u26hZgaOKDgMVCzQ0tmFRbOzcf+cHPT0CbKTkdIuC2dSAi4fM0zx5/zXbZPxH/+7V9fYlq/f5/m7Wp8If7Py0vHMzZNQ/Jvt+Kg2sO2+HO/AYsrYYXhv6dU40tyJ7bXNAByYnpvm84Eejm/ORjv6BhMk1TZ14MBxF9Ztq0O11+9daVLTGtBouZ3e5bTVG+SD5CtVTvYOVd2IHbdQ26mOxyrMJlEwGKiEkdI3KyX+hXpqW33F3TcZQwcFNd5dKkGKuCTz0DV5ng+gktIqXUEK0D/eiqp6iEFJalJCwJKB92Qdjm/OHx85Zeh+RoIktdfT+3gB8cM+NSlB07d0rd/m9S6nqQVyN0wZpSnI3V7bYupuGbv1wrGywNcOmE0iMzBQCSOzvlmpHTKYMjgBa4oL0dJprC+LSG3n0RVZqVi7sAgtnV2oa+lEw6lOQ1kI78MNAcA5OAEdZ31rcPx/T3LfnB+bn4/Kg42KE5TStzuj/V7i0L9E5V08qnWSVHs9xUnNe+dValJCwAm9Uu8lre85vctparcflBCveL1o+foLGb/Jo1Pw718Zh0mZzqCzQ3bZhRPrBb7MJpEZGKiEiVnfrLQsSbS6z+GUuxu5GUNQlJ2KHXWtkicwB+tHN07U3GNFj/YzgYXC/r8n72/O22ubcaa7F+/vPYmbXtzmuY//Nzct3+70njQtuiIrFc/cXICS0ipd3x6NLjFJFVNL7bbR+p7Tu5ymdvvpuWmSWS8le4+58MjvdwMILjtkF7VNHTjZflbxNlYX+IZSrGeTyDxmdDQnDbR8szLjcUT7jrejpLQK1SEKUgDgh2/vNTSpB+PAsXbP39vc3Vjxzn4sX78PT7/3mU9dB3Dhm5vo/vId2HK4SfY24gernqZ0cY7+M5XefHAmfvT2Ptlvj3KMHhqpRHwv6XnPictp8Q6Hz23iHQ7MyQ9sB6/l9muKCz3djfWS+r1JBZFbDjfhvnLfjJzV2tzdKCmtwjWrN/lkjPwpdXKOBmZ95hExUAkTswpAtZzaCvTvuNAaRBhtSb/vmEvXpJ4/Yoihn+Ptt9vqPH/XumTySUMbbntpG6rrWgP6tHh/u1P7YF3xzYmYc/7wSNHsvAysLSmSDXK8H1+K1tdTD/G9pPc9JxVY+Bei1jZ1oPJgI440d6reXsx6VS6bi7JFRfjd4mkoW1SE52+drPoc/H9vcr/fPqH/TKsFL20LWAqzitasXLv7nGIQG+nsvl2cIgeXfsLErAJQ8XHUmqMp7bjwd80lGT4BgJo4ABMzU3y2EGtRPG0snn7vM1338Vdd34ojzZ0Qzk9kWvzw7b3Yf0x5rHUtnaofrHMnjMCiWTmShZq7GpR/33K1CHLvCyP830t633NKu9GUztB56qZJioWr/vUitU0dmp+T+HtTCyJ31rfaou5Bz1JeH6Q7OUcLu24Xp8jDjEoYafnGqqbN3Y1zvX2KQYpWYpp+zvgRmJOfofnN0AcgIV7/W2feJRdJLhfoVdeinv3wtu+YS3X5KzstWXY5I84BFIy+cBZFTnoy5k0Y4fNBq/fbo1pmQk28o3/pwJvUe0nLe857qWJRWTXuLq1C2ZY6n2UJqSzBvuMufOvFrVjxzn5MHav9RGuxdkoLrdkh70nfSkaW8qJ5CcSMzzwiZlTCyIytk0sr9qDK4NZZf7kjkrDs6+MB9H+g3Ll2u+YsyadftCNl0AB0dPWoBk3e36CUOtBqlZ2WDK1naSYOiENXj/L+paKsC5Os1Pj6hP5gZ96qjbLFm1q/PSoVhP5l3wnFmgZv3o3/lN5LWt5zajsz1LIEWw436c5mrC0pwtxVlbIdlqWyQ6lJ6h2Zrd5FY2QpL5qXQOy2XZwiEwMVCxjZOil2elWb4OMdDkzLGY5/nnQFfKg7AAxJHIDTXT0AgJovO/GtX23FjNw0/PAbl+Cojm+DvYIA19megMtnjkuDIMCnl4pU3YJ3Q7cxqYOx52gbVn94SPW5eU9eWpbA1IIUwLdGx3t8S36/K+CASKWtlVqajSkFBU9+a6LiOH+3eFrAkowzKUHTe0kusFPbmfFG1VHVbFSfzGGUSpxJCdi4bB7uW1cdUAQNSNfGaDk2wupJX89SXiwtgdhluzhFJgYqNqe3r8esvHT09PXBJbHFNz7O4QlSvH1U24Kbf70NPUGsJ4nN335//3QAysfei7t1/LMKM8el4ePaU7If8P6TlxnZGQCYONrp828xKJTKLiltrVT79qgWFDjOL8XJZWWu9ivk1UJtS6/aUsXjGjM8gP5shjMpAW8+ONPz+xoQ55Dt1Kw2Tu8+NlaTel/OyE2DwwFs+1w6gCcieQxUbE5PX4/fLZ6G0cMG+zQG86YUiAQTpAD9NQLV9a34R00Trj4/Yeht1T4tZzhm5aX7fMAXZadi4cxsySZgYmDw/t4TePD1XbrHHOfo37WjtCwjR2lSlnvuWrZrmt0CXm1Zx8xdR0azGVq+bauN0/tkbaspBaxcAiHSj4GKjWndQeD9jbvyYKPp4xg0IA7negVNu1LuLq1SPZtGLqvwUW0LKpfNBQBdH+aDBmrrgurPf3LTExQamZTVJtsBcQ5T1/TVMjhiUBnsrqNwLGHILanEOXxP1rYTqQCMSyBE+nHXj41p3UEgfuNuc3fjxb8fNn0cZ3v6MDVrmObbKzU509pS3H9XjT9x18wnDa2GnnPR+clNDKa0NnuLc8CnAVptUwcqqupRUXUUmw81eXbySJHbVSS6u7QKJaVVaHef0/Q78Oa9i0ik9rsWf96zNxdo3nW04psTfXZAAeFbwpDaQSL2sSGi6MWMio2pfQN//tbJuCo3zTOZlZRWYffRNsnbxjscSBk8QFNBopTZ+elY+tV8/PT9f6ruDFKq49CzjVfqTBejZ/F4m5GbhpfvusLnMq1BYZ8AnOvtw9EWNx5f/6lPzYG3gtH9PUam+J1wrVZXo/ccFKUaFC3LOlsON+HRN/fgzQdmni9wblHceTQoIR5riqcC0Jf1MoPZO0h4oi9RZHAIWvd5AigvL9d0u5KSEsMD0sPlcsHpdKK9vR0pKSnqd4hAJaVVssWV3pNZbVOHbG0K0F/r8eQ3J+Lba6skz9IJhbJFRZg3YUTA5WrPSWnyXVKx2/AyxWPzx+PGKZmSk5La78+bnqBPbhls86HGgMMYvfkHod42HWzEni/aMPXiVLyy+Yji71Lqdy2l6PwBk86kBE33sfMZO0pqmzpw4LgL67bV+ew2itTnQxSp9MzfugKVuLg4DBkyBAMGDJDd7uhwOHDqlDl9PtTEQqAittlWO4it8mAjFpXJT3xli4pQtqXOlA6oWlUumys50ao9p5LSqoBtx/EOB6ZmDdPVcdefXOAk0jqp6yHuRvHPkKi9XiKfHTotnbj5xa2as2KVy+ZieNJATTujvMcp9fr48w6G+ndJtQBwYLpMcGU1tUycVPBPRKGjZ/7WtfRz6aWX4ssvv8Rdd92Fe++9F1OmTAlqoKROa7pbLc3f5Ooy/ZRjOWrFlUrP6ZOGVtkC0GCCFODCspJcyt+s7c7e5Nqka91t470UpCdIAS7U+5QvnqaawfEfp3evm+Xr9wXcXlzeu+XFrdjd0OZznbi0ppSdCPeyy9KKPQEHUnoL14m+kRDUEdmNrkBl//79+Pjjj/Hqq69izpw5yMvLw+LFi3HnnXdGbUbDLtR2C6g1mvqPP32q+WfFOYCxwwejvuWMobFqLa6Uek4/fCtwUgyWGDilns/WyGVynEkJ+GXx5bi/fEfQQZE//+3MWhuDiRPoH6qP6q4vEgOzNnc31v6jTvc4c9KTVdu7+wcpQH9fnvvKq/HQvLyAQEStr0soyAW/UkLV2bbN3Y2HXt8VUNOkJagLFmtxKNLp3vVz1VVX4X/+539w4sQJLF26FH/84x8xatQo3Hnnnejq6grFGEkjI2fGSJmdl4EfXHeJrvtcOmooyhYVoXLZXJQvnqbrg1fcsbL5UKNqoW5RVqrus4LEwEmpp4hoacUe7KpvU33MAXH6xiC1nVnP67X6g4Oaf5Z4hpM4KQWz7dpon5XqulYsKqvGvFUbseDlbXjv0+M40typ6TUwm57gN1SdbZdW7JEsvP6otiVkz93/DKd5qzZ6dpURRRLDu34GDx6MkpISZGdnY8WKFXjjjTfwq1/9ComJiWaOj3QQl1TU0vzexGyDeALu8KQErN5Qg4de1/fh+dmJ07Lf2MRvdPEOB3qFC51H9e7gKRidgrULi2SXZwoyU/DIvDwkDowP6HKq1lNE74nMPX0CJo5KwYET2s5GWvHO/oCsQUtnF66fPBLTclIhCFA8QqCxo1vTzwF8M1p6e/H4v36y/UsAqB9O0K+6rlUxQxXKZZfapg5N51eFsheM2msQqueu1uxPD2ZlyEqGApVjx45h3bp1KCsrQ2dnJ+666y689NJLSE3VdiIqhVavjlpQcVJr6ezPhj3z3mfYJbPFWY1/2lwpEJmTn4Ez53p0LbHcWjgGp9zdKF88DQte2oad9a0+k+VnJ07j91UNkh/CatuPl1TswgNfGad5LAAwLWc4OrvOof6U+hKZ9wTR5u7Gg6/t8jkPCQCGDU7A6bPnfF6/OAdUD31MTUrA+odmSdYw6e3FI0WqdmdqVip2SJzRE4xQLLuY8fy1UJrItYzB7OeuJTDX8vOsWKoj8qcrUPnjH/+IsrIybNq0CV//+texevVq3HDDDYiPN9YZlEJDS7pe7Oj5y+LLTSsg9U+bKy05bKlp0vyNXPT0ewfw9HsHUJSdKnmQndSH8IVsjvJji1tW9fitjtt7j23FO/sDghQAaDtzLuCE4ImZKdh3TD4jEO8A3n14NsamJRkqsl556+SAok7/SVeu+Nm/3idYWpdd9Hy7V3v+P7lxIuZdor2xnj8tE7mW/49mLzlpbayoxsysDJFRugKVO+64AxdffDG+973v4aKLLkJdXR1efPHFgNstXbrUtAGSfloKNfuE/pT8/et2aM6gFIyWnzTn+B0Ip5bu1hukeNup8k2+rqUTqUkJARNIalIC2tznJE8DFn8fRVmp2HW0LWRbuLfXtij+Xlrd5zynJMc7HDjW5pbcdSPqFYAehbHKvRfEpY7iaRd7LlObdP2Ln9cUF+LB13fKNr3TSuuyi5Fv90pLV7PzM3Dv7Jygxq5lIhfHIPe6+//fMYOexopyzMrKEAVLV6By8cUXw+Fw4Pe//73sbRwOBwMVi9U2deD2K8fgTHePZObBm9r13p67ZTKef/+fkjsX/NPmWlPuRqgthWSnJUtOIK4z55CcGI+Orl7Z+94zMxuDB34Rsq3cWkpw286cw5vV2seg9u1Y60GHer89O5MS8Pv7p+NIcyc+rm2BAGD9zi90B3pal12MfruXev6zzwc4wdAzkcsFdVL/d8ygFqBqCTDMysoQBUtXoFJXV6d6m2PHjhkdCwVJ6hvn5NEp2KuwdKCF+OE2ZcywgIlp9LDB6BUEnHJ3+3yrNfNUXr0aTrllJhAoBikAMHG0E+WXZWpqJ6+H+DucljNc9bav/uOI5LZfOWrfjrX04gnm27N3puUbBaMUlxLFTIZYvK21ODOY8Zndel+kZyKXCupC3Ucl2JO4zcjKEJnBtLN+Tp48ieeeew6vvPIKzpwx1n+DgiP1jfPA8dNITUqA60yP4eUM/w+3nPRkyaWVrOGDce+sHFycnozstGTFdDcADE0cgNNdPYbGpGR3g3KWqGB0Cj47fjrgFN6JmRd6AWnpIaKH+Dt0JiUo/l4KMlN0BSlFWamaJzulXjyqxca/34XX75uuWkDpHRQcONaOtf+oxe4v2j3X9wHo6evD8KSBuiZpM77dm31ysZGJPJynJwcboJmRlSEyg64+Km1tbbjzzjuRkZGBzMxM/PKXv0RfXx9+8pOfIDc3Fx999BFeffXVUI2VFMid/tsrCGh1n9N1+nGco/9sIKW+KFJBUf2pM1jxfwc8PRtOn1Xu1/A/d12BVAM7B9RamIxKGax4/XO3TA7oX9InAPuOuXx6TQSbFVo2f7zk73BNcSFm5KZJ3kfLVlpRalIC1i405+Rgted64LhLV7+PnPRk3HBZJgYnBn4X2vZ5Cx58faep47Pi273cadj+fWyspvckbm9SvX7CdVo2kUhXoPLEE09g8+bNWLhwIYYPH47vfe97uPHGG7Flyxa8//77qK6uRnFxsa4BHDt2DHfddRfS0tKQlJSEyy+/HDt36vsQI/VvnA/Ny0PlsrkoW1SElbdOVrztxMwUrC0pkv1wkwuK/H2ikhno6uvDxmXzUJSlb1u7c7BycPMff/oUzsEJAW9ucQKZMmYYyhdPQ+WyuSjITAm4nVj3cGEi0jU8j1UbDqFsSx2GJw30HX9SAir+bToql81F/ogh0Nm/DkB/ILlx2byAAFJsnnekWV82SHyuckGgd4t9rWqbOmQLbbd93qLrsYIJCoz+TrSI9olczMqInx1GGjoSBUvX0s+f//xnlJWV4dprr8VDDz2EvLw8jB8/Hj//+c8N/fDW1lbMmjUL8+bNw/vvv48RI0bg888/x7Bhwww9XizT8o1TTDvXNnUo3nZN8VTFDyKthbJqO3uy0/q3vr754Eyf9PSKd/YHpJsdAPJGJGNY0kBNnWPbJbb6+k8ggiBIZjC86x7WFBdi7qpK3e3rRVtqmmSLPQVBQE2j8mvhT+5UZTP6XTxz8yR845f/UKzjkVpikdsu3H+mjbw/f3ocj1yTr2lsgP6ai3D0AAlV/UsoGWneFs4lKyJ/ugKV48ePY+LEiQCA3NxcDBo0CPfdd5/hH/7Tn/4UY8eORVlZmeey7Oxsw48Xy/SsJwe79mxGoaz/t2DvIEpqx5IAoKaxE4D2b8XeW32lPpQPqCyz1LX0d6s1GqQAFzIR/2/fCVxXMMpnktC7Mypl0ABcXzBKcpI1o9/Fj97eD7dKsbH3Esueo6340Tv7fLas+wYCyqmiVRsOoepIq+bAQW9QEM4eIJEwkbN5G0UqXUs/fX19SEi48IaOj49HcrLx/5zvvvsurrzySixYsAAjRoxAYWEhXnnlFdnbd3V1weVy+fyhC/SkoYNJWYuBjsEVEQDAsq+P9/m397kkD1fsRnV9K1IGDQjqZwD9re7llrDUGrYZCSbkPPDaLhQ+vcHn3BU95/cAgOtsj2SdiFJ9ktblGvExlLJgM85ncsTX6uZfbwvoq+N9bs9VGnY4GTnnx7/mQmppx4zfSbQxes5SKJfOiLTQlVERBAH33HOP5zyfs2fP4oEHHggIVtavX6/p8Wpra/HSSy/h0UcfxRNPPIGqqiosXboUiYmJKCkpCbj9ypUr8dRTT+kZcky5cNZPE3Y3tGLqxam4Oj9D8bbit9N4R//2Xf9txnKk0vB6tHT6nl0j2ffkbPA7guSKLGubOhRbwBdl9++mEUxs/OafmVHL6EiR2oprxo6Yj4+cUv3ZYnmIVPt/kXcgkJsxBDNy02Rv6397vRkJpQwBe4D4MrK9mxmY4PB8JPPoClQWLlzo8++77rorqB/e19eHK6+8Es899xwAoLCwEPv378dLL70kGagsX74cjz76qOffLpcLY8eODWoM0cTIB0tqUgJWvFOn+8NIDHS2HW7Gv/1uh2p/En/eAYTWg/P0UiqyVJvIFs7MBqCty69RRrvz+k+yWnfESH1wyp07JGXb5y3YfKhR020/rm1BTnoyXr7rCk0BrZHAQSlD8OS3JireN9Z6gBgJ3Ng+3xgGeObTFah415KYYdSoUZ6aF9Gll16KP/3pT5K3T0xM5OnMCox8sAT7YTQzLx37nroO/6hpwq6jrRjgcOBnG+RPAY5zALPzfAMII5kF1XGNU+74qTa5T8p0ev4ulT26fMwwuLt7cEhnMawUByDZ1l+O/ySbmzEEM8elSe6wmTkuDalJCbjtpW0+GSTxg3NpxR5NgYfo7/9s1HS7x9fvxV/2nsSa4kJPlq/k1SrZ2+sNHNQyBI7zu4HYA6Sf3u3dbJ9vHAM88+mqUTHbrFmzcPCg7zr9oUOHkJWVZdGIIpeRNXmz1vFrmzrQ0yfgW5eNxsTRTsXbTsxMwZriQp91bz2H+ylZNn88HvvaeKy8dTKevWUyWjq7JNfW29zdePLdA5KPIbXd1XuL5ppvF6IoOxV7vmjzBCn5FyVjxTcnonLZXMUtvnIKRqeo3+g8uSyRXLKnp7cP81ZtDFjm+kdNExavq9adyUpLHqh+o/O86x/mjM8wteeIlgxBJGwdDlf9h97t3Vp+vxSItVGhYVpnWiO+973vYebMmXjuuefwr//6r6iqqsJvfvMb/OY3v7FyWBHJSGo32HV8qRRnUbZyT5Rnb55s2mnNoniHA9NyhqPqSKviwW9i6lXpVGdxIqtt6ji/vdbhaXWek96/ddp/e3RtoxuV/2zColk5ump3xHby5YunYcH5jIdSZmXY4AQ8e3PBhZ/rdTK0XFakqk66DkcAFGt0pEwenYL0oYM0397/23ewLd29ackQ2HnrsBXLA3p+/3ZssBcJWBsVGpYGKkVFRXjrrbewfPlyPP3008jJycHPf/5z3HnnnVYOKyIZ+WAJ9sNIasKvlpkYxZT76g2HsMXkepRZeeno6euTDT4A39oFpSDisfn5sofHPX79JYrp8Iqqo5g4Snt2RMwutbm7AYf68s/psz344dv78MviywMmuVAbEOfA3mMuQ2cfiR/OZgYOerbYm1kQrZdcQaXR5YFgCjT1/P6tbJ8fyUWoDPBCwyFY+b84SC6XC06nE+3t7UhJ0T5BRKuS0irZDxa5Dz8j9wH6P0yuWb1J89jm5GfgsfnjcdOLWzXfR02cA7giKxU//Zcpmsfy/K2T8bjCZDtE4XTlgswUXS3u1VQum4uc9GSUlFbpCjqKslOxq17fCcXBSBk0AB1newwX/668dXJIDuBrd58LyBB4ZyWsLGpU+tktnV2K71fxfaH18UL1XNR+v2aLliJUo5+psUbP/G1pjQqZy8iavNF1fL39Re67Ohvv7z+h6z5q+oT+DE6Vhq21ok6VQxCVdi+ZGaSIdQFGdjxV17WaGqQkDwz8GCgcOwwvFhei/N4iuBSClPwRQ1Rrcpav3+tzhpJZ1Nq7G+0bYgaln22k/sOK5xLu9vlWvl5mioTaqEhj6dIPmctIat1oOl5vd9qSV6t13V4PPVP2/9t3MqifJXXysl6FY52eDy2zGsoFo7O7D79bPA1ftJ6BA/Bp0V95UHmXz3euzccfq7/QFGwZ2fmgZRlAqiuskV0rZi05qP3s+67OVry/3XbghKPrrtXP0Ux2ro2KVAxUopCRDxa99wllfxG9puemqY4l3uHA1KxhsjU0Wj13y2Ss+uCQ4fqQoqxUvPngTM+/7ZLS7OkTUDzt4oDLtWzjLl+c6flQHhDnwBetbixfvy/gtnomnWCXAfQUNZq95KD2s3sF6Kr/iIUCzWh8jpFwrEKksMvnJEUgqRRnOMU7HCjKTkVdSyeWfX284lhm5aV7mrgZ5X/y8spbC9Tv5Hf/tQuLAFw4MmBhWegyTXrIFflp2dZa29Th+eZ4dX4GRjoHK/4sLVtbg10G0FPUaPaSg5afrWd5IBYKNGPhOZJxzKiQYf4pzrSkgVi1wXi2wVtqUgLa3ecUCzhTBg9AdV0rFp2f7AsyU/DynVORODDe88HmnXpVOzUa6I/chw5OQPsZ31qKGbm+DeTEb0vv7/1SNatUMDoFz90yGVPGDPNc9tDruyQbtIWbll0ccttan7m5IKAQuL9oWvlEZLVJx4xlAK27VkKx5KD1Z0fCDpxwiYXnSMZx1w+Zzvv8ILXalDgAkzJT8OjXJ2BAnMNz0vHwpIEBk2NBZgoemZeHxIHxeOGDg9h/3CUZyCil7aUq8qXue8rdjY9rWyAAijtW5HZGLJs/Hi3ubskJSO+OKSUrb52M9bu+wM76VvQZ+J+stsThXbcB+AZ+SrsbABje+VB5sNETfEopW1SEeRNGqD43LbtWzPpZRn62lY9nR7HwHOkCPfM3AxUKKa2BgdwHkf83zjZ3N+4v36FYayK26ZeaENvd53BfebXP/YuyUnHPzGxMHO00/M3N/3BH/wDFe8LfXtssWcOhh/ek3+4+hztLtwecZCznd4uneQJCueerVrehFmy9+/CsgOya1klH7bGltu8qUcpamP2z9PxsOzyeHcXCcyR98zeXfiikpJYN9AQG/gVpSyv2YKdKR9U+QfqUYXHy9Q9S1i4sCvobm9zhjs/cXIAfvb3P5/Ks4co1HFp41zM4kxLwyzsKNWVpCjJTZE/UFtU2dWBpxe6AM5i8d+2oFT+2uLsN73zIzRiC1KSEgNOmgf7fs5mF4lqWHILZDWR2QWUsFGjGwnMkfRioUEiZuVVPb88R/50CUkWTO+tbcd+6avz0tik+k5HU5KQ0YckVZN704ha4zvj2bjl66oziuOUOKUwZNAA/vuFSXJkTuBQlTrhbapoU63qeu2Wy7HVSWRRv3nUbasWPA843VzEy6dQ2dUgGKQDQ6j5n+lZV+RqcSZI1OFyKIAovBioUFmZ8S9Lbc8S7aFMuyOkDUF3f6pON8P82P3NcGgTB9zwd/2UQuYJMqQlXba31yqxUVEtkjTq7evF/n57EgqLAbcQA8MzNk3DTi1slf6a4HDZl7DDZn6t0BpK3upZOzJswQnFL+N2lVYYn9XBvVZULpsVlS2/eRzFEapt3okjD7ckUMbQ2mZM6EVZPkOM/0W/7vCXg0D/v7atmNm2bOS4NP71tiuR1aiew/ujt/QHZG9HsvAzFzphyp75KEbMlatvTjW7xtWqrak56MuZNGOHTMVjuFNxrVm/CorLqkHTcJSJfDFTIVKE8tl5c3lAj1Y9CbyddNXqWQeT4nzQ9Jz8DL915haEW62qBxlM3TVLMbOgJtu4urUJJaRWA/i225fcWSd7O6NH2Wnq3hJqe30cktnkniiRc+iFThOtAscfm5yvWqfxu8TTJYlGtNRx6KS2DxDscSBk8AK4zPbLbdDcfasTuhjZMvTjVM24jGYVgl0v0BlvehbW9KkkYI0s1cnUj4TovRc/vIxLbvBNFEmZUyBThOlDslEqKvUehmcia4kJMzUqVvd4IMWiQ6zT67sOzJS8Xm6WVvFqN//6wxpOlaHefM5RRMBLceGe/cjOGoGC09i3+ejJKRpZqwn0gnj+510CJlo67pC6UWVmKTMyoUNDCeaBYMJOiMykB//vgTCx4eZvhBmki/46ZSrubpC4Xx+DNO0uhN6Ogp7OnXPZr+XWX4M7zSzpaiRklue3EKYMGBPXaW7lVVeo1UGLXNu9at1ebdSijUeHKylLkYaBCQQvnLg0zWm2vLSlSnICcEi30nYMHoN2rUHVq1rCAoEHpg16ccNvc3bjtpW3YIbGrxz+w07utWym48R7binf2Y8th3+cuZsP0Lo9lpyUrbid2ne3Bgpe3YW1J8L1qgqV3IvYPPn9deVi20WC4amf00Drx2yVAUMrK6jlxm6IPAxUKWrh3aQRbvyCV/QAutIdf8c7+gMm642wPUgYNgOtsf7BSXdeKJRW7saa4EAIEzR/0Syv2YJdKwzoxsAt2Ys1OS0ZqUoKmrIAYJL378CwA8Ll9alICXGfO+dSieAeGlQcbFR97Z32rpZNNsBNxTnoyBEFQ7Ia8bP54U8ZqJq0Tvx0ChHBmZSnyMFChoIX7QDGpCVkQBOxqaNWVtvZfVvDeluqvV4AnSBF51+Bo+aDX2rBueFKCbKOxls4u1eDF+3lJ9QJRInaU3XyoCbsbWjH14lRMGT1MMTBUC1TlOgWHkn8GKdiJWEsnXjvROvHbJUAId+8ciiwMVMgUVuzSyEnvzxiYmbbWsy1V/DBXus77g17tscWmbKs31ARMrFtqmjB3VaXPEouWAwX1nmQ9PGmgbJB0yt0tuQyldUdVOCYbte66Ir0TsVW9XYzSOvHbJUCItN8vhRd3/ZAprNqlYfZuI7P7rXjvBFF77CuyUj3br/37ofQhsBGd2vPU24iuYHQKVm84JPv79G6I5k/LjqpwTDZau+uKtO7U0bsTy+qdK1onfrsECHbonUP2xUCFTKU0mZlNrXuokUnCyLZUJd4f9HKPHYf+wxHffGCm6vZrb2rPU2/Q9fDcPMO/T3FHVVF2KuL8fnXhmmz0dNcV6ZmI5bage2cN29zdKCmt0t251uzARuvEr/Z+X/HO/rB13dXy+6XYxECFIpaRDq5aSH1gpiYlBPxnET/09XwTlHrs2fkZWLuwv7urkYyO3PPUGnTFoX95Z9DAeEM/x9vakiLMzvNtuBeuyUZPBslI8KQla6g3w2c0sNFC68SvdBRCOLvuWt07h+yLNSoUsUKVtpYq1h2eNFCxBkdrfY7aadJyhclGn6dU7ZB/z5PZXoW6Rn+OyMzTsvXSE+QFEzzJ9XYxUpgayh03Wl8LZ1ICnvzWRJ+DObWMPVSs7J1D9sRAhSJWqHcb+X9gKn3o652clT6M5YILpS3CcuQmK6mxOpMSTPt9WjHZqL0fnrppUkiDJ72FqeHacSNoCHjtUlRLJIWBCkU0s3Ybae1ZojQBmzU5G8noqJHaii1XFKv351jd0dSb0vidSQkhHZ/eDF+ogwM9/WPsUlSrhZ3ebxQeDkFLuG1TLpcLTqcT7e3tSEnRfk4JRR+jSw126cqpVbiWVLT8HDv/7qxYegIu9K2RO4TSW21Th+Ryi6hy2dygxq5nLEZuH252fr+RfnrmbxbTUlQwutsoXIcpmiVcu6q0/Byp392Ww022+N2Fc/eZNz07V0K5JdfIjji777qJtP+rZB4u/VDMClWNQCykpuV+d2IX2k8b2jBl7LDwD8xicjVBtU0d+Mu+4wAcmJ6b5nlfhKpRotqy0vbaZskapXAXQus5MNEOHXTJGgxUKGaZXSMQS6lptd/dE2/txXtLrw7TaC7wnvgEQbAsYPQ+hPLbr2zHts9bfK6fkZuGl++6ImTBgVrNyfL1+zx/93+PhqMQWu//FbX328e1LQxUohgDFYpZZhcQ2uFwt3BR+93tO+4K67dctdb5VgWMSyv2BAQpAPBRbYvP+8Ls4EDPNncr3qN6/6+ovd8eX78Xf9l7Miq/FBBrVCiCBdvN08wagVB0ybWz3IwhKBitXABntOGeEWqt862oZVA7aynU7wulRm7ewv0eNfJ/RUvzQtarRC8GKhRxzOzmaVYBYai65NrZszcXKF4fzJZWPUGoltb5oZiM1caopVNuKN8X/p1eV9462bKxeDP6f0Ut8IrWLwXEpR+KQGYusZhVIxBJfSjMctnYVMlTk4NpuGekzkdP63wzGpdpHaOWTrnheF+Iy0q1TR2WjwUw/n9F/L9aUXUUy9fvlb0/m9NFH2ZUKKKEaokl2O2ssXr665riQszON+9sHyNbUPW0zjdjMtY6RvE9ISfc7wu7vEeDHcdVOcMVr4/GLwWxjoEKRRQ7L7HYvQ9FKJh5kJzRIFRL/YJZk7HeMa4pLsTMcWkBjzMjN02126+ZpymLHps/HpeOGupzmRXv0WD+r9gl4KLw4dIPRRQ7L7FYeSCf1czYtRLMdnGpfiTezJqM9Y7RmZSA398/HUeaO/FxbQsEwKePir9QbXGXetyC0Sl47pbJmDJmmOHHNSrY/yuh6j9D9sRAhSJKqA8iNIPdTn+NlAZ0wQShUhMfANMDRqNj1PqeCNUWd6nH/ez4aaz64JClW+eN/l8RELEnv5ABXPqhiBOLSyxGmLk7KhzMSOl71xqFoo2+3dreW/m4VmI7/djCQIUijpl1EdEsEj/MIyEIDdUYQ1V/Zee6LiOiMfAiZVz6oYhltyUWO4nUs1Eioc7Hqrb3Ruuv7FzXZYTZR1+Q/TGjQhSFIv1btFWnH+th9hhDtawUbbtkoi3wInUMVIiiED/MI1OolpVCuaQWqq3UcqIt8CJ1DkFQObHKxlwuF5xOJ9rb25GSonzuCFGsKSmtkt0dFW2HJEabUC19mfm4Vp4W3u4+F7A9OVpPKo9WeuZvBipEUSqaPswjZYt1LLFDIGznWiZSpmf+ZjEtUZSKhMJUNVZ+ayd5dinWZkF9bGCNClGUi4TCVDmRuMU6FkR6sTZFFgYqRGRL7JdhXyzWpnBioEJEtsRv7fZl5s6bcO8aosjDGhUisiV+a7e3YA8GZP0RacVAhYhsKRIOoIxlwRZrh+oARoo+XPohItuKhLN/Yp2RYm3WH5EezKgQkW1FwxbrUIrU/jI8r4f0YKBCRLbHfhm+Ir2+I1brjyI1sLQaAxUiGfxQIbuK9PoOq+uPwv1/O9IDS6tZWqPy5JNPwuFw+PwZOXKklUMiQpu7GyWlVbhm9SYsKqvGvFUbUVJahXb3OauHRhQ19R1W1B9Z9X+bjQuDY3lGZdKkSfjrX//q+Xd8fLyFowkNfjOPLGrfVvl6kpWipb7DivojKzJRdjluIJJZHqgMGDBAcxalq6sLXV1dnn+7XK5QDcsUTPdFHrUPlQUvb0N1XavncqOvJ4MdMira6jvCVX9kVcAQLYGllSzfnlxTU4PMzEzk5OTgjjvuQG1trextV65cCafT6fkzduzYMI5UP6b7Io/ah8rO+laff+t9PbmsRMEysytsLLGq03G0BZZWsDRQueqqq1BeXo4PPvgAr7zyCk6ePImZM2eipaVF8vbLly9He3u7509DQ0OYR6xdtKwjxxq1D5U+35dT9+vJ4JXMEC39ZcLZPt+qgIGBZfAsXfq5/vrrPX+fPHkyZsyYgXHjxmHdunV49NFHA26fmJiIxMTEcA7RMKb7IpPcboQ4AH0K99PyenKtmswS6f1lrFgWt3KnkdJxA1wGVmd5jYq35ORkTJ48GTU1NVYPJWhM90UuqQ+VqVmp2OG37ONNy+vJ4JXMFon9ZWqbOrD0jd04cNy3xjAc26uDPZ/IKKnAMjUpIWAsrGGUZqtApaurC5999hmuvvpqq4cSNKv7BJBxct9WS0qrgno9GbxSLJPKonjTmlkMJgNhdSbKO7AUP0+8RVIvnHCytEZl2bJl2LRpE44cOYKPP/4Yt912G1wuFxYuXGjlsEwTLevIscr/DJNgX0+uVVMsk6rPkiJX1GpmIbqR84nMxBpGfSzNqHzxxRcoLi5Gc3MzMjIyMH36dGzfvh1ZWVlWDss0VkfvZC4zXk+rUs9EVpKrz5Iil1mM9G683rgMrI+lgcobb7xh5Y8Pm0hcRyZ5wbyeDF4pFqlNzIDyMmq0FaJzGVgfy/uoEMUiq1PPROGkNjEDyplFq3qghAqXgfVhoEJERCElNzHHASjITEHlsrkoXzxNdrdLNGYgWMOona12/RARUXSSqs+arXE7bjTuouQysHYOQfArO44gLpcLTqcT7e3tSElJsXo4RESkwujE3O4+x74jUUTP/M1AhYiIIgYzENFBz/zNpR8iIooY3EUZe1hMS0RERLbFQIWIiIhsi4EKERER2RYDFSIiIrItBipERERkW9z1Q0REhtQ2daD+lJtbhSmkGKgQEZEube5uLK3Yw+ZrOjGwM4aBChER6bK0Yg+2Hm72uWzr4WYsqdiN8sXTLBqVfTGwCw5rVIiISLPapg5srmnyOXMHAHoFAZtrmnCkObJOMg4HpcCO1DFQISIizepPuRWvr2thoOKNgV3wGKgQEZFmWcOTFK/PTmPthTcGdsFjoEJERJrlZgzBnPwMxDscPpfHOxyYk5/BIlE/DOyCx0CFiIh0WVNciFl56T6XzcpLx5riQotGZF8M7ILnEAS/hbMIoueYaCIiMteR5k7UtXRyu62Kdvc5LKnYbfmuHzttj9YzfzNQISIiCgOrAjs7bo/WM39z6YeIiCgMctKTMW/CiLBnMyJ9ezQDFSIioigVDdujGagQERFFqWjYHs1AhYiIKEpFw/ZoBipERERRKhq2RzNQISIiimKR3veGpycTERFFMWdSAsoXT4vYvjcMVIiIiGJATnpkBSgiBipERBQx7NRdlcKDgQoREdmeHburUniwmJaIiGwv0rurknEMVIiIyNaiobsqGcdAhYiIbC0auquScQxUiIjI1qKhuyoZx0CFiIhsLRq6q5JxDFSIiMj2Ir27KhnH7clERGR7kd5dlYxjoEJERBEjUrurknFc+iEiIiLbYqBCREREtsVAhYiIiGyLgQoRERHZFgMVIiIisi3u+iEiMkFtUwfqT7m5bZaiih3e1wxUiIiC0ObuxtKKPdhc0+S5bE5+BtYUF8KZlGDhyIiMs9P7mks/RERBWFqxB1sPN/tctvVwM5ZU7LZoRETBs9P7moEKEZFBtU0d2FzThF5B8Lm8VxCwuaYJR5p5qi9FHru9rxmoEBEZVH/KrXh9XQsDFYo8dntfM1AhIjIoa3iS4vXZaSyqpchjt/c1AxUiIoNyM4ZgTn4G4h0On8vjHQ7Myc/g7h+KSHZ7XzNQISIKwpriQszKS/e5bFZeOtYUF1o0IqLg2el97RAEv2qZCOJyueB0OtHe3o6UlBSrh0NEMexIcyfqWjrZR4WiSqje13rmb9tkVFauXAmHw4Hvfve7Vg+FiEi3nPRkzJswgkEKRRU7vK9tEahUV1fjN7/5DaZMmWL1UIiIiMhGLA9UOjo6cOedd+KVV15Bamqq1cMhIiIiG7E8UHn44Ydxww034Nprr1W9bVdXF1wul88fIiIiil6WnvXzxhtvYOfOndixY4em269cuRJPPfVUiEdFREREdmFZRqWhoQHf+c538Prrr2PQoEGa7rN8+XK0t7d7/jQ0NIR4lERERGQly7Ynv/3227jlllsQHx/vuay3txcOhwNxcXHo6uryuU4KtycTERFFHj3zt2VLP1/96lexd+9en8sWLVqESy65BD/4wQ9UgxQiIiKKfpYFKkOHDkVBQYHPZcnJyUhLSwu4nCjS1DZ1oP6Um82/iIiCZGkxLVG0aXN3Y2nFHmyuafJcNic/A2uKC+FMSrBwZEREkYkt9IlMVFJaha2Hm9Hr9d8q3uHArLx0lC+eZuHIiIjsIyJb6BNFutqmDmyuafIJUgCgVxCwuaYJR5o7LRoZEVHkYqBCZJL6U27F6+taGKgQEenFQIXIJFnDkxSvz05jUS0RkV4MVIhMkpsxBHPyMxDvcPhcHu9wYE5+Bnf/EBEZwECFyERrigsxKy/d57JZeelYU1xo0YiIiCIbtycTmciZlIDyxdNwpLkTdS2d7KNCRBQkBipEIZCTzgCFiMgMXPohIiIi22KgQkRERLbFQIWIiIhsi4EKERER2RYDFSIiIrItBipERERkWwxUiIiIyLYYqBAREZFtMVAhIiIi22KgQkRERLbFFvqkqrapA/Wn3Dy3hoiIwo6BCslqc3djacUebK5p8lw2Jz8Da4oL4UxKsHBkREQUK7j0Q7KWVuzB1sPNPpdtPdyMJRW7LRoRERHFGgYqJKm2qQOba5rQKwg+l/cKAjbXNOFIc6dFIyMioljCQIUk1Z9yK15f18JAhYiIQo+BCknKGp6keH12GotqiYgo9BiokKTcjCGYk5+BeIfD5/J4hwNz8jO4+4eIiMKCgQrJWlNciFl56T6XzcpLx5riQotGREREsYbbk0mWMykB5Yun4UhzJ+paOtlHhYiIwo6BCqnKSWeAQkRE1uDSDxEREdkWAxUiIiKyLQYqREREZFsMVIiIiMi2GKgQERGRbTFQISIiIttioEJERES2xUCFiIiIbIuBChEREdkWAxUiIiKyrYhuoS8IAgDA5XJZPBIiIiLSSpy3xXlcSUQHKqdPnwYAjB071uKREBERkV6nT5+G0+lUvI1D0BLO2FRfXx8OHjyIiRMnoqGhASkpKVYPKWxcLhfGjh0bc88biN3nzufN5x0LYvV5A7H13AVBwOnTp5GZmYm4OOUqlIjOqMTFxWH06NEAgJSUlKh/YaXE6vMGYve583nHFj7v2BMrz10tkyJiMS0RERHZFgMVIiIisq2ID1QSExOxYsUKJCYmWj2UsIrV5w3E7nPn8+bzjgWx+ryB2H7uSiK6mJaIiIiiW8RnVIiIiCh6MVAhIiIi22KgQkRERLbFQIWIiIhsK+IDlV//+tfIycnBoEGDcMUVV+Af//iH1UMKqSeffBIOh8Pnz8iRI60eluk2b96Mb37zm8jMzITD4cDbb7/tc70gCHjyySeRmZmJwYMHY+7cudi/f781gzWR2vO+5557Al7/6dOnWzNYE61cuRJFRUUYOnQoRowYgZtvvhkHDx70uU00vuZanne0vuYvvfQSpkyZ4mluNmPGDLz//vue66Px9QbUn3e0vt7BiOhA5Q9/+AO++93v4oc//CF2796Nq6++Gtdffz2OHj1q9dBCatKkSThx4oTnz969e60ekuk6Oztx2WWX4Ve/+pXk9f/1X/+FF154Ab/61a9QXV2NkSNH4mtf+5rn/KdIpfa8AeC6667zef3/8pe/hHGEobFp0yY8/PDD2L59Oz788EP09PRg/vz56Ozs9NwmGl9zLc8biM7XfMyYMXj++eexY8cO7NixA9dccw1uuukmTzASja83oP68geh8vYMiRLBp06YJDzzwgM9ll1xyifD4449bNKLQW7FihXDZZZdZPYywAiC89dZbnn/39fUJI0eOFJ5//nnPZWfPnhWcTqfw8ssvWzDC0PB/3oIgCAsXLhRuuukmS8YTTo2NjQIAYdOmTYIgxM5r7v+8BSF2XnNBEITU1FRh7dq1MfN6i8TnLQix9XprFbEZle7ubuzcuRPz58/3uXz+/PnYtm2bRaMKj5qaGmRmZiInJwd33HEHamtrrR5SWB05cgQnT570ee0TExPxla98JepfewDYuHEjRowYgfHjx+P+++9HY2Oj1UMyXXt7OwBg+PDhAGLnNfd/3qJof817e3vxxhtvoLOzEzNmzIiZ19v/eYui/fXWK2IPJWxubkZvby8uuugin8svuuginDx50qJRhd5VV12F8vJyjB8/Hl9++SWeeeYZzJw5E/v370daWprVwwsL8fWVeu3r6+utGFLYXH/99ViwYAGysrJw5MgR/PjHP8Y111yDnTt3Rk03S0EQ8Oijj2L27NkoKCgAEBuvudTzBqL7Nd+7dy9mzJiBs2fPYsiQIXjrrbcwceJETzASra+33PMGovv1NipiAxWRw+Hw+bcgCAGXRZPrr7/e8/fJkydjxowZGDduHNatW4dHH33UwpGFX6y99gBw++23e/5eUFCAK6+8EllZWfjzn/+MW2+91cKRmeeRRx7Bp59+ii1btgRcF82vudzzjubXfMKECdizZw/a2trwpz/9CQsXLsSmTZs810fr6y33vCdOnBjVr7dREbv0k56ejvj4+IDsSWNjY0AUHs2Sk5MxefJk1NTUWD2UsBF3OcX6aw8Ao0aNQlZWVtS8/kuWLMG7776LyspKjBkzxnN5tL/mcs9bSjS95gMHDkReXh6uvPJKrFy5Epdddhl+8YtfRP3rLfe8pUTT621UxAYqAwcOxBVXXIEPP/zQ5/IPP/wQM2fOtGhU4dfV1YXPPvsMo0aNsnooYZOTk4ORI0f6vPbd3d3YtGlTTL32ANDS0oKGhoaIf/0FQcAjjzyC9evX4+9//ztycnJ8ro/W11zteUuJltdciiAI6OrqitrXW474vKVE8+utmVVVvGZ44403hISEBKG0tFQ4cOCA8N3vfldITk4W6urqrB5ayDz22GPCxo0bhdraWmH79u3CjTfeKAwdOjTqnvPp06eF3bt3C7t37xYACC+88IKwe/duob6+XhAEQXj++ecFp9MprF+/Xti7d69QXFwsjBo1SnC5XBaPPDhKz/v06dPCY489Jmzbtk04cuSIUFlZKcyYMUMYPXp0xD/vBx98UHA6ncLGjRuFEydOeP643W7PbaLxNVd73tH8mi9fvlzYvHmzcOTIEeHTTz8VnnjiCSEuLk7YsGGDIAjR+XoLgvLzjubXOxgRHagIgiC8+OKLQlZWljBw4EBh6tSpPtv6otHtt98ujBo1SkhISBAyMzOFW2+9Vdi/f7/VwzJdZWWlACDgz8KFCwVB6N+uumLFCmHkyJFCYmKiMGfOHGHv3r3WDtoESs/b7XYL8+fPFzIyMoSEhATh4osvFhYuXCgcPXrU6mEHTeo5AxDKyso8t4nG11zteUfza37vvfd6PrszMjKEr371q54gRRCi8/UWBOXnHc2vdzAcgiAI4cvfEBEREWkXsTUqREREFP0YqBAREZFtMVAhIiIi22KgQkRERLbFQIWIiIhsi4EKERER2RYDFSIiIrItBipERERkWwxUiIiIyLYYqBCRqe655x7cfPPNktft3r0bN954I0aMGIFBgwYhOzsbt99+O5qbm/Hkk0/C4XAo/qmrqwMAbNu2DfHx8bjuuut8fq7a/Yko8jBQIaKwaGxsxLXXXov09HR88MEH+Oyzz/Dqq69i1KhRcLvdWLZsGU6cOOH5M2bMGDz99NM+l40dOxYA8Oqrr2LJkiXYsmULjh49CgD4xS9+4XNbACgrKwu4jIgiywCrB0BEsWHbtm1wuVxYu3YtBgzo/+jJycnBNddc47nNkCFDPH+Pj4/H0KFDMXLkSJ/H6ezsxB//+EdUV1fj5MmT+O1vf4uf/OQncDqdcDqdPrcdNmxYwP2JKLIwo0JEYTFy5Ej09PTgrbfeQjBnof7hD3/AhAkTMGHCBNx1110oKysL6vGIyN4YqBBRWEyfPh1PPPEEvv3tbyM9PR3XX389fvazn+HLL7/U9TilpaW46667AADXXXcdOjo68Le//S0UQyYiG2CgQkRh8+yzz+LkyZN4+eWXMXHiRLz88su45JJLsHfvXk33P3jwIKqqqnDHHXcAAAYMGIDbb78dr776aiiHTUQWYo0KEYVVWloaFixYgAULFmDlypUoLCzEqlWrsG7dOtX7lpaWoqenB6NHj/ZcJggCEhIS0NraitTU1FAOnYgswIwKEVlm4MCBGDduHDo7O1Vv29PTg/LycqxevRp79uzx/Pnkk0+QlZWF119/PQwjJqJwY0aFiEzX3t6OPXv2+Fz26aefYsOGDbjjjjswfvx4CIKA//u//8Nf/vIXlJWVqT7me++9h9bWVixevDhgd89tt92G0tJSPPLII2Y+DSKyAQYqRGS6jRs3orCw0Oeyu+++G0lJSXjsscfQ0NCAxMRE5OfnY+3atbj77rtVH7O0tBTXXnttQJACAP/yL/+C5557Drt27cLUqVNNex5EZD2HwH19REREZFOsUSEiIiLbYqBCREREtsVAhYiIiGyLgQoRERHZFgMVIiIisi0GKkRERGRbDFSIiIjIthioEBERkW0xUCEiIiLbYqBCREREtsVAhYiIiGzr/wMeLMbSttetOQAAAABJRU5ErkJggg==\n",
460
      "text/plain": [
461
       "<Figure size 640x480 with 1 Axes>"
462
      ]
463
     },
464
     "metadata": {},
465
     "output_type": "display_data"
466
    }
467
   ],
468
   "source": [
469
    "# изучаем взаимосвязь между населением низкого соц. статуса и количеством комнат в доме\n",
470
    "df.plot(kind='scatter', x='LSTAT', y='RM')"
471
   ]
472
  },
473
  {
474
   "cell_type": "code",
475
   "execution_count": 9,
476
   "metadata": {
477
    "colab": {
478
     "base_uri": "https://localhost:8080/",
479
     "height": 573
480
    },
481
    "id": "1oG9XCeUvFyo",
482
    "outputId": "03cf3660-aa03-4066-e1f1-8650d3c784f5"
483
   },
484
   "outputs": [
485
    {
486
     "data": {
487
      "text/plain": [
488
       "<AxesSubplot:xlabel='RM', ylabel='MEDV'>"
489
      ]
490
     },
491
     "execution_count": 9,
492
     "metadata": {},
493
     "output_type": "execute_result"
494
    },
495
    {
496
     "data": {
497
      "image/png": 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\n",
498
      "text/plain": [
499
       "<Figure size 640x480 with 1 Axes>"
500
      ]
501
     },
502
     "metadata": {},
503
     "output_type": "display_data"
504
    }
505
   ],
506
   "source": [
507
    "# изучаем взаимосвязь между ценой и количеством комнат в доме\n",
508
    "df.plot(kind='scatter', x='RM', y='MEDV')"
509
   ]
510
  },
511
  {
512
   "cell_type": "code",
513
   "execution_count": 10,
514
   "metadata": {
515
    "colab": {
516
     "base_uri": "https://localhost:8080/",
517
     "height": 112
518
    },
519
    "id": "PTExiv6cvKaf",
520
    "outputId": "8b64d013-19ec-49b3-b369-53792edde1e9"
521
   },
522
   "outputs": [
523
    {
524
     "data": {
525
      "text/html": [
526
       "<div>\n",
527
       "<style scoped>\n",
528
       "    .dataframe tbody tr th:only-of-type {\n",
529
       "        vertical-align: middle;\n",
530
       "    }\n",
531
       "\n",
532
       "    .dataframe tbody tr th {\n",
533
       "        vertical-align: top;\n",
534
       "    }\n",
535
       "\n",
536
       "    .dataframe thead th {\n",
537
       "        text-align: right;\n",
538
       "    }\n",
539
       "</style>\n",
540
       "<table border=\"1\" class=\"dataframe\">\n",
541
       "  <thead>\n",
542
       "    <tr style=\"text-align: right;\">\n",
543
       "      <th></th>\n",
544
       "      <th>RM</th>\n",
545
       "      <th>MEDV</th>\n",
546
       "    </tr>\n",
547
       "  </thead>\n",
548
       "  <tbody>\n",
549
       "    <tr>\n",
550
       "      <th>RM</th>\n",
551
       "      <td>1.00000</td>\n",
552
       "      <td>0.69536</td>\n",
553
       "    </tr>\n",
554
       "    <tr>\n",
555
       "      <th>MEDV</th>\n",
556
       "      <td>0.69536</td>\n",
557
       "      <td>1.00000</td>\n",
558
       "    </tr>\n",
559
       "  </tbody>\n",
560
       "</table>\n",
561
       "</div>"
562
      ],
563
      "text/plain": [
564
       "           RM     MEDV\n",
565
       "RM    1.00000  0.69536\n",
566
       "MEDV  0.69536  1.00000"
567
      ]
568
     },
569
     "execution_count": 10,
570
     "metadata": {},
571
     "output_type": "execute_result"
572
    }
573
   ],
574
   "source": [
575
    "# считаем коэф. корреляции Пирсона\n",
576
    "df[['RM', 'MEDV']].corr()"
577
   ]
578
  },
579
  {
580
   "cell_type": "code",
581
   "execution_count": 11,
582
   "metadata": {
583
    "colab": {
584
     "base_uri": "https://localhost:8080/",
585
     "height": 112
586
    },
587
    "id": "RYUgBTAPwQlI",
588
    "outputId": "d3caf52b-d7d4-4872-dd79-c2cb6098de85"
589
   },
590
   "outputs": [
591
    {
592
     "data": {
593
      "text/html": [
594
       "<div>\n",
595
       "<style scoped>\n",
596
       "    .dataframe tbody tr th:only-of-type {\n",
597
       "        vertical-align: middle;\n",
598
       "    }\n",
599
       "\n",
600
       "    .dataframe tbody tr th {\n",
601
       "        vertical-align: top;\n",
602
       "    }\n",
603
       "\n",
604
       "    .dataframe thead th {\n",
605
       "        text-align: right;\n",
606
       "    }\n",
607
       "</style>\n",
608
       "<table border=\"1\" class=\"dataframe\">\n",
609
       "  <thead>\n",
610
       "    <tr style=\"text-align: right;\">\n",
611
       "      <th></th>\n",
612
       "      <th>RM</th>\n",
613
       "      <th>MEDV</th>\n",
614
       "    </tr>\n",
615
       "  </thead>\n",
616
       "  <tbody>\n",
617
       "    <tr>\n",
618
       "      <th>RM</th>\n",
619
       "      <td>1.000000</td>\n",
620
       "      <td>0.633576</td>\n",
621
       "    </tr>\n",
622
       "    <tr>\n",
623
       "      <th>MEDV</th>\n",
624
       "      <td>0.633576</td>\n",
625
       "      <td>1.000000</td>\n",
626
       "    </tr>\n",
627
       "  </tbody>\n",
628
       "</table>\n",
629
       "</div>"
630
      ],
631
      "text/plain": [
632
       "            RM      MEDV\n",
633
       "RM    1.000000  0.633576\n",
634
       "MEDV  0.633576  1.000000"
635
      ]
636
     },
637
     "execution_count": 11,
638
     "metadata": {},
639
     "output_type": "execute_result"
640
    }
641
   ],
642
   "source": [
643
    "# считаем коэф. корреляции Спирмана\n",
644
    "df[['RM', 'MEDV']].corr(method='spearman')"
645
   ]
646
  },
647
  {
648
   "cell_type": "code",
649
   "execution_count": 12,
650
   "metadata": {
651
    "colab": {
652
     "base_uri": "https://localhost:8080/",
653
     "height": 112
654
    },
655
    "id": "RR88ZKNZwU2_",
656
    "outputId": "f4751339-f58e-4cb5-f62b-2b0f4579833a"
657
   },
658
   "outputs": [
659
    {
660
     "data": {
661
      "text/html": [
662
       "<div>\n",
663
       "<style scoped>\n",
664
       "    .dataframe tbody tr th:only-of-type {\n",
665
       "        vertical-align: middle;\n",
666
       "    }\n",
667
       "\n",
668
       "    .dataframe tbody tr th {\n",
669
       "        vertical-align: top;\n",
670
       "    }\n",
671
       "\n",
672
       "    .dataframe thead th {\n",
673
       "        text-align: right;\n",
674
       "    }\n",
675
       "</style>\n",
676
       "<table border=\"1\" class=\"dataframe\">\n",
677
       "  <thead>\n",
678
       "    <tr style=\"text-align: right;\">\n",
679
       "      <th></th>\n",
680
       "      <th>RM</th>\n",
681
       "      <th>MEDV</th>\n",
682
       "    </tr>\n",
683
       "  </thead>\n",
684
       "  <tbody>\n",
685
       "    <tr>\n",
686
       "      <th>RM</th>\n",
687
       "      <td>1.000000</td>\n",
688
       "      <td>0.482829</td>\n",
689
       "    </tr>\n",
690
       "    <tr>\n",
691
       "      <th>MEDV</th>\n",
692
       "      <td>0.482829</td>\n",
693
       "      <td>1.000000</td>\n",
694
       "    </tr>\n",
695
       "  </tbody>\n",
696
       "</table>\n",
697
       "</div>"
698
      ],
699
      "text/plain": [
700
       "            RM      MEDV\n",
701
       "RM    1.000000  0.482829\n",
702
       "MEDV  0.482829  1.000000"
703
      ]
704
     },
705
     "execution_count": 12,
706
     "metadata": {},
707
     "output_type": "execute_result"
708
    }
709
   ],
710
   "source": [
711
    "# считаем коэф. корреляции Кенделла\n",
712
    "df[['RM', 'MEDV']].corr(method='kendall')"
713
   ]
714
  },
715
  {
716
   "cell_type": "code",
717
   "execution_count": 13,
718
   "metadata": {
719
    "colab": {
720
     "base_uri": "https://localhost:8080/",
721
     "height": 488
722
    },
723
    "id": "yYlHvjXCvzFB",
724
    "outputId": "4362e1a2-2c65-45d2-bc99-76e3c5092825"
725
   },
726
   "outputs": [
727
    {
728
     "data": {
729
      "text/html": [
730
       "<div>\n",
731
       "<style scoped>\n",
732
       "    .dataframe tbody tr th:only-of-type {\n",
733
       "        vertical-align: middle;\n",
734
       "    }\n",
735
       "\n",
736
       "    .dataframe tbody tr th {\n",
737
       "        vertical-align: top;\n",
738
       "    }\n",
739
       "\n",
740
       "    .dataframe thead th {\n",
741
       "        text-align: right;\n",
742
       "    }\n",
743
       "</style>\n",
744
       "<table border=\"1\" class=\"dataframe\">\n",
745
       "  <thead>\n",
746
       "    <tr style=\"text-align: right;\">\n",
747
       "      <th></th>\n",
748
       "      <th>CRIM</th>\n",
749
       "      <th>ZN</th>\n",
750
       "      <th>INDUS</th>\n",
751
       "      <th>CHAS</th>\n",
752
       "      <th>NOX</th>\n",
753
       "      <th>RM</th>\n",
754
       "      <th>AGE</th>\n",
755
       "      <th>DIS</th>\n",
756
       "      <th>RAD</th>\n",
757
       "      <th>TAX</th>\n",
758
       "      <th>PTRATIO</th>\n",
759
       "      <th>B</th>\n",
760
       "      <th>LSTAT</th>\n",
761
       "      <th>MEDV</th>\n",
762
       "    </tr>\n",
763
       "  </thead>\n",
764
       "  <tbody>\n",
765
       "    <tr>\n",
766
       "      <th>CRIM</th>\n",
767
       "      <td>1.000000</td>\n",
768
       "      <td>-0.200469</td>\n",
769
       "      <td>0.406583</td>\n",
770
       "      <td>-0.055892</td>\n",
771
       "      <td>0.420972</td>\n",
772
       "      <td>-0.219247</td>\n",
773
       "      <td>0.352734</td>\n",
774
       "      <td>-0.379670</td>\n",
775
       "      <td>0.625505</td>\n",
776
       "      <td>0.582764</td>\n",
777
       "      <td>0.289946</td>\n",
778
       "      <td>-0.385064</td>\n",
779
       "      <td>0.455621</td>\n",
780
       "      <td>-0.388305</td>\n",
781
       "    </tr>\n",
782
       "    <tr>\n",
783
       "      <th>ZN</th>\n",
784
       "      <td>-0.200469</td>\n",
785
       "      <td>1.000000</td>\n",
786
       "      <td>-0.533828</td>\n",
787
       "      <td>-0.042697</td>\n",
788
       "      <td>-0.516604</td>\n",
789
       "      <td>0.311991</td>\n",
790
       "      <td>-0.569537</td>\n",
791
       "      <td>0.664408</td>\n",
792
       "      <td>-0.311948</td>\n",
793
       "      <td>-0.314563</td>\n",
794
       "      <td>-0.391679</td>\n",
795
       "      <td>0.175520</td>\n",
796
       "      <td>-0.412995</td>\n",
797
       "      <td>0.360445</td>\n",
798
       "    </tr>\n",
799
       "    <tr>\n",
800
       "      <th>INDUS</th>\n",
801
       "      <td>0.406583</td>\n",
802
       "      <td>-0.533828</td>\n",
803
       "      <td>1.000000</td>\n",
804
       "      <td>0.062938</td>\n",
805
       "      <td>0.763651</td>\n",
806
       "      <td>-0.391676</td>\n",
807
       "      <td>0.644779</td>\n",
808
       "      <td>-0.708027</td>\n",
809
       "      <td>0.595129</td>\n",
810
       "      <td>0.720760</td>\n",
811
       "      <td>0.383248</td>\n",
812
       "      <td>-0.356977</td>\n",
813
       "      <td>0.603800</td>\n",
814
       "      <td>-0.483725</td>\n",
815
       "    </tr>\n",
816
       "    <tr>\n",
817
       "      <th>CHAS</th>\n",
818
       "      <td>-0.055892</td>\n",
819
       "      <td>-0.042697</td>\n",
820
       "      <td>0.062938</td>\n",
821
       "      <td>1.000000</td>\n",
822
       "      <td>0.091203</td>\n",
823
       "      <td>0.091251</td>\n",
824
       "      <td>0.086518</td>\n",
825
       "      <td>-0.099176</td>\n",
826
       "      <td>-0.007368</td>\n",
827
       "      <td>-0.035587</td>\n",
828
       "      <td>-0.121515</td>\n",
829
       "      <td>0.048788</td>\n",
830
       "      <td>-0.053929</td>\n",
831
       "      <td>0.175260</td>\n",
832
       "    </tr>\n",
833
       "    <tr>\n",
834
       "      <th>NOX</th>\n",
835
       "      <td>0.420972</td>\n",
836
       "      <td>-0.516604</td>\n",
837
       "      <td>0.763651</td>\n",
838
       "      <td>0.091203</td>\n",
839
       "      <td>1.000000</td>\n",
840
       "      <td>-0.302188</td>\n",
841
       "      <td>0.731470</td>\n",
842
       "      <td>-0.769230</td>\n",
843
       "      <td>0.611441</td>\n",
844
       "      <td>0.668023</td>\n",
845
       "      <td>0.188933</td>\n",
846
       "      <td>-0.380051</td>\n",
847
       "      <td>0.590879</td>\n",
848
       "      <td>-0.427321</td>\n",
849
       "    </tr>\n",
850
       "    <tr>\n",
851
       "      <th>RM</th>\n",
852
       "      <td>-0.219247</td>\n",
853
       "      <td>0.311991</td>\n",
854
       "      <td>-0.391676</td>\n",
855
       "      <td>0.091251</td>\n",
856
       "      <td>-0.302188</td>\n",
857
       "      <td>1.000000</td>\n",
858
       "      <td>-0.240265</td>\n",
859
       "      <td>0.205246</td>\n",
860
       "      <td>-0.209847</td>\n",
861
       "      <td>-0.292048</td>\n",
862
       "      <td>-0.355501</td>\n",
863
       "      <td>0.128069</td>\n",
864
       "      <td>-0.613808</td>\n",
865
       "      <td>0.695360</td>\n",
866
       "    </tr>\n",
867
       "    <tr>\n",
868
       "      <th>AGE</th>\n",
869
       "      <td>0.352734</td>\n",
870
       "      <td>-0.569537</td>\n",
871
       "      <td>0.644779</td>\n",
872
       "      <td>0.086518</td>\n",
873
       "      <td>0.731470</td>\n",
874
       "      <td>-0.240265</td>\n",
875
       "      <td>1.000000</td>\n",
876
       "      <td>-0.747881</td>\n",
877
       "      <td>0.456022</td>\n",
878
       "      <td>0.506456</td>\n",
879
       "      <td>0.261515</td>\n",
880
       "      <td>-0.273534</td>\n",
881
       "      <td>0.602339</td>\n",
882
       "      <td>-0.376955</td>\n",
883
       "    </tr>\n",
884
       "    <tr>\n",
885
       "      <th>DIS</th>\n",
886
       "      <td>-0.379670</td>\n",
887
       "      <td>0.664408</td>\n",
888
       "      <td>-0.708027</td>\n",
889
       "      <td>-0.099176</td>\n",
890
       "      <td>-0.769230</td>\n",
891
       "      <td>0.205246</td>\n",
892
       "      <td>-0.747881</td>\n",
893
       "      <td>1.000000</td>\n",
894
       "      <td>-0.494588</td>\n",
895
       "      <td>-0.534432</td>\n",
896
       "      <td>-0.232471</td>\n",
897
       "      <td>0.291512</td>\n",
898
       "      <td>-0.496996</td>\n",
899
       "      <td>0.249929</td>\n",
900
       "    </tr>\n",
901
       "    <tr>\n",
902
       "      <th>RAD</th>\n",
903
       "      <td>0.625505</td>\n",
904
       "      <td>-0.311948</td>\n",
905
       "      <td>0.595129</td>\n",
906
       "      <td>-0.007368</td>\n",
907
       "      <td>0.611441</td>\n",
908
       "      <td>-0.209847</td>\n",
909
       "      <td>0.456022</td>\n",
910
       "      <td>-0.494588</td>\n",
911
       "      <td>1.000000</td>\n",
912
       "      <td>0.910228</td>\n",
913
       "      <td>0.464741</td>\n",
914
       "      <td>-0.444413</td>\n",
915
       "      <td>0.488676</td>\n",
916
       "      <td>-0.381626</td>\n",
917
       "    </tr>\n",
918
       "    <tr>\n",
919
       "      <th>TAX</th>\n",
920
       "      <td>0.582764</td>\n",
921
       "      <td>-0.314563</td>\n",
922
       "      <td>0.720760</td>\n",
923
       "      <td>-0.035587</td>\n",
924
       "      <td>0.668023</td>\n",
925
       "      <td>-0.292048</td>\n",
926
       "      <td>0.506456</td>\n",
927
       "      <td>-0.534432</td>\n",
928
       "      <td>0.910228</td>\n",
929
       "      <td>1.000000</td>\n",
930
       "      <td>0.460853</td>\n",
931
       "      <td>-0.441808</td>\n",
932
       "      <td>0.543993</td>\n",
933
       "      <td>-0.468536</td>\n",
934
       "    </tr>\n",
935
       "    <tr>\n",
936
       "      <th>PTRATIO</th>\n",
937
       "      <td>0.289946</td>\n",
938
       "      <td>-0.391679</td>\n",
939
       "      <td>0.383248</td>\n",
940
       "      <td>-0.121515</td>\n",
941
       "      <td>0.188933</td>\n",
942
       "      <td>-0.355501</td>\n",
943
       "      <td>0.261515</td>\n",
944
       "      <td>-0.232471</td>\n",
945
       "      <td>0.464741</td>\n",
946
       "      <td>0.460853</td>\n",
947
       "      <td>1.000000</td>\n",
948
       "      <td>-0.177383</td>\n",
949
       "      <td>0.374044</td>\n",
950
       "      <td>-0.507787</td>\n",
951
       "    </tr>\n",
952
       "    <tr>\n",
953
       "      <th>B</th>\n",
954
       "      <td>-0.385064</td>\n",
955
       "      <td>0.175520</td>\n",
956
       "      <td>-0.356977</td>\n",
957
       "      <td>0.048788</td>\n",
958
       "      <td>-0.380051</td>\n",
959
       "      <td>0.128069</td>\n",
960
       "      <td>-0.273534</td>\n",
961
       "      <td>0.291512</td>\n",
962
       "      <td>-0.444413</td>\n",
963
       "      <td>-0.441808</td>\n",
964
       "      <td>-0.177383</td>\n",
965
       "      <td>1.000000</td>\n",
966
       "      <td>-0.366087</td>\n",
967
       "      <td>0.333461</td>\n",
968
       "    </tr>\n",
969
       "    <tr>\n",
970
       "      <th>LSTAT</th>\n",
971
       "      <td>0.455621</td>\n",
972
       "      <td>-0.412995</td>\n",
973
       "      <td>0.603800</td>\n",
974
       "      <td>-0.053929</td>\n",
975
       "      <td>0.590879</td>\n",
976
       "      <td>-0.613808</td>\n",
977
       "      <td>0.602339</td>\n",
978
       "      <td>-0.496996</td>\n",
979
       "      <td>0.488676</td>\n",
980
       "      <td>0.543993</td>\n",
981
       "      <td>0.374044</td>\n",
982
       "      <td>-0.366087</td>\n",
983
       "      <td>1.000000</td>\n",
984
       "      <td>-0.737663</td>\n",
985
       "    </tr>\n",
986
       "    <tr>\n",
987
       "      <th>MEDV</th>\n",
988
       "      <td>-0.388305</td>\n",
989
       "      <td>0.360445</td>\n",
990
       "      <td>-0.483725</td>\n",
991
       "      <td>0.175260</td>\n",
992
       "      <td>-0.427321</td>\n",
993
       "      <td>0.695360</td>\n",
994
       "      <td>-0.376955</td>\n",
995
       "      <td>0.249929</td>\n",
996
       "      <td>-0.381626</td>\n",
997
       "      <td>-0.468536</td>\n",
998
       "      <td>-0.507787</td>\n",
999
       "      <td>0.333461</td>\n",
1000
       "      <td>-0.737663</td>\n",
1001
       "      <td>1.000000</td>\n",
1002
       "    </tr>\n",
1003
       "  </tbody>\n",
1004
       "</table>\n",
1005
       "</div>"
1006
      ],
1007
      "text/plain": [
1008
       "             CRIM        ZN     INDUS      CHAS       NOX        RM       AGE  \\\n",
1009
       "CRIM     1.000000 -0.200469  0.406583 -0.055892  0.420972 -0.219247  0.352734   \n",
1010
       "ZN      -0.200469  1.000000 -0.533828 -0.042697 -0.516604  0.311991 -0.569537   \n",
1011
       "INDUS    0.406583 -0.533828  1.000000  0.062938  0.763651 -0.391676  0.644779   \n",
1012
       "CHAS    -0.055892 -0.042697  0.062938  1.000000  0.091203  0.091251  0.086518   \n",
1013
       "NOX      0.420972 -0.516604  0.763651  0.091203  1.000000 -0.302188  0.731470   \n",
1014
       "RM      -0.219247  0.311991 -0.391676  0.091251 -0.302188  1.000000 -0.240265   \n",
1015
       "AGE      0.352734 -0.569537  0.644779  0.086518  0.731470 -0.240265  1.000000   \n",
1016
       "DIS     -0.379670  0.664408 -0.708027 -0.099176 -0.769230  0.205246 -0.747881   \n",
1017
       "RAD      0.625505 -0.311948  0.595129 -0.007368  0.611441 -0.209847  0.456022   \n",
1018
       "TAX      0.582764 -0.314563  0.720760 -0.035587  0.668023 -0.292048  0.506456   \n",
1019
       "PTRATIO  0.289946 -0.391679  0.383248 -0.121515  0.188933 -0.355501  0.261515   \n",
1020
       "B       -0.385064  0.175520 -0.356977  0.048788 -0.380051  0.128069 -0.273534   \n",
1021
       "LSTAT    0.455621 -0.412995  0.603800 -0.053929  0.590879 -0.613808  0.602339   \n",
1022
       "MEDV    -0.388305  0.360445 -0.483725  0.175260 -0.427321  0.695360 -0.376955   \n",
1023
       "\n",
1024
       "              DIS       RAD       TAX   PTRATIO         B     LSTAT      MEDV  \n",
1025
       "CRIM    -0.379670  0.625505  0.582764  0.289946 -0.385064  0.455621 -0.388305  \n",
1026
       "ZN       0.664408 -0.311948 -0.314563 -0.391679  0.175520 -0.412995  0.360445  \n",
1027
       "INDUS   -0.708027  0.595129  0.720760  0.383248 -0.356977  0.603800 -0.483725  \n",
1028
       "CHAS    -0.099176 -0.007368 -0.035587 -0.121515  0.048788 -0.053929  0.175260  \n",
1029
       "NOX     -0.769230  0.611441  0.668023  0.188933 -0.380051  0.590879 -0.427321  \n",
1030
       "RM       0.205246 -0.209847 -0.292048 -0.355501  0.128069 -0.613808  0.695360  \n",
1031
       "AGE     -0.747881  0.456022  0.506456  0.261515 -0.273534  0.602339 -0.376955  \n",
1032
       "DIS      1.000000 -0.494588 -0.534432 -0.232471  0.291512 -0.496996  0.249929  \n",
1033
       "RAD     -0.494588  1.000000  0.910228  0.464741 -0.444413  0.488676 -0.381626  \n",
1034
       "TAX     -0.534432  0.910228  1.000000  0.460853 -0.441808  0.543993 -0.468536  \n",
1035
       "PTRATIO -0.232471  0.464741  0.460853  1.000000 -0.177383  0.374044 -0.507787  \n",
1036
       "B        0.291512 -0.444413 -0.441808 -0.177383  1.000000 -0.366087  0.333461  \n",
1037
       "LSTAT   -0.496996  0.488676  0.543993  0.374044 -0.366087  1.000000 -0.737663  \n",
1038
       "MEDV     0.249929 -0.381626 -0.468536 -0.507787  0.333461 -0.737663  1.000000  "
1039
      ]
1040
     },
1041
     "execution_count": 13,
1042
     "metadata": {},
1043
     "output_type": "execute_result"
1044
    }
1045
   ],
1046
   "source": [
1047
    "# можем посчитать коэффициенты корреляции между всеми показателями\n",
1048
    "df.corr()"
1049
   ]
1050
  },
1051
  {
1052
   "cell_type": "code",
1053
   "execution_count": 14,
1054
   "metadata": {
1055
    "colab": {
1056
     "base_uri": "https://localhost:8080/",
1057
     "height": 522
1058
    },
1059
    "id": "ir5IpZ1Xv-TF",
1060
    "outputId": "19e4da94-a153-43df-b12a-b2fb1b6d09ef"
1061
   },
1062
   "outputs": [
1063
    {
1064
     "data": {
1065
      "text/plain": [
1066
       "<AxesSubplot:>"
1067
      ]
1068
     },
1069
     "execution_count": 14,
1070
     "metadata": {},
1071
     "output_type": "execute_result"
1072
    },
1073
    {
1074
     "data": {
1075
      "image/png": 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\n",
1076
      "text/plain": [
1077
       "<Figure size 1170x827 with 2 Axes>"
1078
      ]
1079
     },
1080
     "metadata": {},
1081
     "output_type": "display_data"
1082
    }
1083
   ],
1084
   "source": [
1085
    "# удобно визуализировать при помощи тепловой карты\n",
1086
    "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
1087
    "sns.heatmap(df.corr(), annot=True)"
1088
   ]
1089
  },
1090
  {
1091
   "cell_type": "markdown",
1092
   "metadata": {
1093
    "id": "5ponhnz5wiEe"
1094
   },
1095
   "source": [
1096
    "## Регрессия"
1097
   ]
1098
  },
1099
  {
1100
   "cell_type": "code",
1101
   "execution_count": 15,
1102
   "metadata": {
1103
    "id": "V5BtgHVHwAit"
1104
   },
1105
   "outputs": [],
1106
   "source": [
1107
    "from sklearn.linear_model import LinearRegression\n",
1108
    "from sklearn.model_selection import train_test_split"
1109
   ]
1110
  },
1111
  {
1112
   "cell_type": "code",
1113
   "execution_count": 16,
1114
   "metadata": {
1115
    "id": "_M4mqTiPxcWE"
1116
   },
1117
   "outputs": [],
1118
   "source": [
1119
    "X = df[['CRIM', 'AGE', 'RAD', 'RM', 'CHAS']]\n",
1120
    "y = df['MEDV']"
1121
   ]
1122
  },
1123
  {
1124
   "cell_type": "code",
1125
   "execution_count": 17,
1126
   "metadata": {
1127
    "id": "5ztPF23Pbi6M"
1128
   },
1129
   "outputs": [],
1130
   "source": [
1131
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=42)"
1132
   ]
1133
  },
1134
  {
1135
   "cell_type": "code",
1136
   "execution_count": 18,
1137
   "metadata": {
1138
    "colab": {
1139
     "base_uri": "https://localhost:8080/"
1140
    },
1141
    "id": "hF2RTr4aRmf7",
1142
    "outputId": "1af0738c-f197-4fac-8abe-88d6fc1a0b9e"
1143
   },
1144
   "outputs": [
1145
    {
1146
     "data": {
1147
      "text/plain": [
1148
       "(354, 5)"
1149
      ]
1150
     },
1151
     "execution_count": 18,
1152
     "metadata": {},
1153
     "output_type": "execute_result"
1154
    }
1155
   ],
1156
   "source": [
1157
    "X_train.shape"
1158
   ]
1159
  },
1160
  {
1161
   "cell_type": "code",
1162
   "execution_count": 19,
1163
   "metadata": {
1164
    "colab": {
1165
     "base_uri": "https://localhost:8080/"
1166
    },
1167
    "id": "4jyD-EZrRJIj",
1168
    "outputId": "2426267d-89cb-4d2a-d354-5b7656c5100b"
1169
   },
1170
   "outputs": [
1171
    {
1172
     "data": {
1173
      "text/plain": [
1174
       "(152, 5)"
1175
      ]
1176
     },
1177
     "execution_count": 19,
1178
     "metadata": {},
1179
     "output_type": "execute_result"
1180
    }
1181
   ],
1182
   "source": [
1183
    "X_test.shape"
1184
   ]
1185
  },
1186
  {
1187
   "cell_type": "code",
1188
   "execution_count": 20,
1189
   "metadata": {
1190
    "colab": {
1191
     "base_uri": "https://localhost:8080/"
1192
    },
1193
    "id": "uHtibYVJRrjZ",
1194
    "outputId": "40c5b547-5911-4ec3-aadd-f5605fa6001c"
1195
   },
1196
   "outputs": [
1197
    {
1198
     "data": {
1199
      "text/plain": [
1200
       "(354,)"
1201
      ]
1202
     },
1203
     "execution_count": 20,
1204
     "metadata": {},
1205
     "output_type": "execute_result"
1206
    }
1207
   ],
1208
   "source": [
1209
    "y_train.shape"
1210
   ]
1211
  },
1212
  {
1213
   "cell_type": "code",
1214
   "execution_count": 21,
1215
   "metadata": {
1216
    "colab": {
1217
     "base_uri": "https://localhost:8080/"
1218
    },
1219
    "id": "qAioVnT2xMR3",
1220
    "outputId": "f8e3ad62-ec76-4d89-e736-d128e7f4d7e2"
1221
   },
1222
   "outputs": [
1223
    {
1224
     "data": {
1225
      "text/plain": [
1226
       "LinearRegression()"
1227
      ]
1228
     },
1229
     "execution_count": 21,
1230
     "metadata": {},
1231
     "output_type": "execute_result"
1232
    }
1233
   ],
1234
   "source": [
1235
    "model = LinearRegression()\n",
1236
    "model.fit(X_train, y_train)  # метод обучается на данных и подбирает оптимальные коэффициенты"
1237
   ]
1238
  },
1239
  {
1240
   "cell_type": "code",
1241
   "execution_count": 22,
1242
   "metadata": {
1243
    "colab": {
1244
     "base_uri": "https://localhost:8080/"
1245
    },
1246
    "id": "BbgJpYgzRy66",
1247
    "outputId": "7c96f08f-b490-4f28-d271-620405c30529"
1248
   },
1249
   "outputs": [
1250
    {
1251
     "data": {
1252
      "text/plain": [
1253
       "array([-0.14096091, -0.04481824, -0.13940635,  7.73216686,  5.60152278])"
1254
      ]
1255
     },
1256
     "execution_count": 22,
1257
     "metadata": {},
1258
     "output_type": "execute_result"
1259
    }
1260
   ],
1261
   "source": [
1262
    "model.coef_"
1263
   ]
1264
  },
1265
  {
1266
   "cell_type": "code",
1267
   "execution_count": 23,
1268
   "metadata": {
1269
    "colab": {
1270
     "base_uri": "https://localhost:8080/"
1271
    },
1272
    "id": "dnb8_ADdR3By",
1273
    "outputId": "35d19228-35ec-4d68-eed6-e17ca1ca0ad0"
1274
   },
1275
   "outputs": [
1276
    {
1277
     "data": {
1278
      "text/plain": [
1279
       "-21.418448522601217"
1280
      ]
1281
     },
1282
     "execution_count": 23,
1283
     "metadata": {},
1284
     "output_type": "execute_result"
1285
    }
1286
   ],
1287
   "source": [
1288
    "model.intercept_"
1289
   ]
1290
  },
1291
  {
1292
   "cell_type": "code",
1293
   "execution_count": 24,
1294
   "metadata": {
1295
    "id": "nf02JQzRndMe"
1296
   },
1297
   "outputs": [],
1298
   "source": [
1299
    "# y = -0.429 * x + 24.5"
1300
   ]
1301
  },
1302
  {
1303
   "cell_type": "code",
1304
   "execution_count": 25,
1305
   "metadata": {
1306
    "colab": {
1307
     "base_uri": "https://localhost:8080/"
1308
    },
1309
    "id": "sLhBX4S0bi6P",
1310
    "outputId": "44ff45da-9775-4f08-f265-127acd2e2389"
1311
   },
1312
   "outputs": [
1313
    {
1314
     "data": {
1315
      "text/plain": [
1316
       "array([23.71195083, 34.39695654, 19.84253296, 24.55701816, 19.09342427,\n",
1317
       "       23.08152472, 19.97821959, 21.52633137, 18.76519404, 20.74324042,\n",
1318
       "       25.28061351, 20.43459365, -0.75277505, 23.6566854 , 18.64971123,\n",
1319
       "       25.52158083, 19.452677  ,  6.46645781, 37.47860973, 17.32065368,\n",
1320
       "       25.65866514, 26.69392027, 17.82099884, 26.31455239, 16.41410418,\n",
1321
       "       11.78705692, 21.65109785, 21.69937127, 25.55681129, 19.34328925,\n",
1322
       "       16.98212583, 25.20380492, 24.62931288, 11.86567775, 16.79330434,\n",
1323
       "       17.3099132 , 31.11611631, 21.18469174, 27.84539829, 26.00589268,\n",
1324
       "       16.1134207 , 27.40564331, 38.71162085, 19.60925038, 24.95096517,\n",
1325
       "       14.08090795, 17.68492893, 27.33299923, 18.54233046, 26.35810203,\n",
1326
       "       20.61511952, 30.08979725, 21.23133212, 27.10468796, 33.21017732,\n",
1327
       "       21.19732574, 18.041584  , 29.81895754, 25.40573971, 17.7712917 ,\n",
1328
       "       27.78826978, 32.95162983, 27.10607389, 18.45713011, 27.27367061,\n",
1329
       "       20.40290636, 19.61388758, 25.30373651, 28.17604047, 16.84558232,\n",
1330
       "       21.38265106, 23.26640888, 14.3658379 , 23.03308784, 23.29507534,\n",
1331
       "        7.51137609, 21.5154729 , 37.25171911, 19.16367357, 15.45439634,\n",
1332
       "       22.03066055, 13.23601544, 23.0153279 ,  8.19559065, 20.50631001,\n",
1333
       "       32.03082693, 22.33708529, 25.64107832, 24.74911466, 23.4675513 ,\n",
1334
       "       22.30684497,  8.59729615, 22.39071356, 21.41497255, -1.81167771,\n",
1335
       "       22.82241351, 17.51573074,  3.88682746, 18.97901814, 20.24641026,\n",
1336
       "       22.64370037, 24.45869156,  9.76868507, 20.51271945, 24.02569274,\n",
1337
       "       17.61734748, 19.08886849, 26.92421191, 23.01179829, 26.05425189,\n",
1338
       "       16.18287352, 21.69954635, 24.94372122, 22.87236163, 29.21270497,\n",
1339
       "       17.01811248, 34.4609621 , 17.35692177, 19.4279747 , 27.01652853,\n",
1340
       "       17.39407161, 27.16185952,  6.44905901, 20.57722105, 25.54732344,\n",
1341
       "       22.30861249, 27.1626241 , 29.3419128 , 26.85404807, 35.45424444,\n",
1342
       "       17.36416629, 26.21138685, 20.30085656, 20.54250344, 13.45100756,\n",
1343
       "       20.65420757, 23.05733818, 28.76981173, 28.66076372, 19.50612872,\n",
1344
       "       20.56741372, 26.03515729, 21.36995573, 21.38621211,  8.32094222,\n",
1345
       "       22.87173388, 26.37464445, 19.04099767, 18.34985792, 41.13526599,\n",
1346
       "       20.27378889, 17.84111612])"
1347
      ]
1348
     },
1349
     "execution_count": 25,
1350
     "metadata": {},
1351
     "output_type": "execute_result"
1352
    }
1353
   ],
1354
   "source": [
1355
    "y_pred = model.predict(X_test)\n",
1356
    "y_pred"
1357
   ]
1358
  },
1359
  {
1360
   "cell_type": "code",
1361
   "execution_count": 26,
1362
   "metadata": {
1363
    "colab": {
1364
     "base_uri": "https://localhost:8080/"
1365
    },
1366
    "id": "aFNglLdPv-Oz",
1367
    "outputId": "13625bbb-ac2a-4a05-ece5-e7adcfc29683"
1368
   },
1369
   "outputs": [
1370
    {
1371
     "data": {
1372
      "text/plain": [
1373
       "173    23.6\n",
1374
       "274    32.4\n",
1375
       "491    13.6\n",
1376
       "72     22.8\n",
1377
       "452    16.1\n",
1378
       "       ... \n",
1379
       "441    17.1\n",
1380
       "23     14.5\n",
1381
       "225    50.0\n",
1382
       "433    14.3\n",
1383
       "447    12.6\n",
1384
       "Name: MEDV, Length: 152, dtype: float64"
1385
      ]
1386
     },
1387
     "execution_count": 26,
1388
     "metadata": {},
1389
     "output_type": "execute_result"
1390
    }
1391
   ],
1392
   "source": [
1393
    "y_test"
1394
   ]
1395
  },
1396
  {
1397
   "cell_type": "code",
1398
   "execution_count": 27,
1399
   "metadata": {
1400
    "colab": {
1401
     "base_uri": "https://localhost:8080/"
1402
    },
1403
    "id": "3GmxHXVkbi6Q",
1404
    "outputId": "3df9bfb8-5ce5-44f6-f133-4fe487e419b2"
1405
   },
1406
   "outputs": [
1407
    {
1408
     "data": {
1409
      "text/plain": [
1410
       "0.5484147255237969"
1411
      ]
1412
     },
1413
     "execution_count": 27,
1414
     "metadata": {},
1415
     "output_type": "execute_result"
1416
    }
1417
   ],
1418
   "source": [
1419
    "model.score(X_test, y_test) # метод возвращает значение коэффициента детерминации"
1420
   ]
1421
  },
1422
  {
1423
   "cell_type": "code",
1424
   "execution_count": 28,
1425
   "metadata": {
1426
    "colab": {
1427
     "base_uri": "https://localhost:8080/",
1428
     "height": 828
1429
    },
1430
    "id": "tyvTY_PDbi6R",
1431
    "outputId": "ee4a73a9-aa03-442a-d4a6-ef0cf721b61c"
1432
   },
1433
   "outputs": [
1434
    {
1435
     "ename": "ValueError",
1436
     "evalue": "x and y must be the same size",
1437
     "output_type": "error",
1438
     "traceback": [
1439
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
1440
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
1441
      "Cell \u001b[1;32mIn[28], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mscatter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_test\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_test\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      2\u001b[0m plt\u001b[38;5;241m.\u001b[39mplot(X_test, y_pred, c\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
1442
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\pyplot.py:2819\u001b[0m, in \u001b[0;36mscatter\u001b[1;34m(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, plotnonfinite, data, **kwargs)\u001b[0m\n\u001b[0;32m   2814\u001b[0m \u001b[38;5;129m@_copy_docstring_and_deprecators\u001b[39m(Axes\u001b[38;5;241m.\u001b[39mscatter)\n\u001b[0;32m   2815\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mscatter\u001b[39m(\n\u001b[0;32m   2816\u001b[0m         x, y, s\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, c\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, marker\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, norm\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m   2817\u001b[0m         vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, alpha\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, linewidths\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m,\n\u001b[0;32m   2818\u001b[0m         edgecolors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, plotnonfinite\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m-> 2819\u001b[0m     __ret \u001b[38;5;241m=\u001b[39m gca()\u001b[38;5;241m.\u001b[39mscatter(\n\u001b[0;32m   2820\u001b[0m         x, y, s\u001b[38;5;241m=\u001b[39ms, c\u001b[38;5;241m=\u001b[39mc, marker\u001b[38;5;241m=\u001b[39mmarker, cmap\u001b[38;5;241m=\u001b[39mcmap, norm\u001b[38;5;241m=\u001b[39mnorm,\n\u001b[0;32m   2821\u001b[0m         vmin\u001b[38;5;241m=\u001b[39mvmin, vmax\u001b[38;5;241m=\u001b[39mvmax, alpha\u001b[38;5;241m=\u001b[39malpha, linewidths\u001b[38;5;241m=\u001b[39mlinewidths,\n\u001b[0;32m   2822\u001b[0m         edgecolors\u001b[38;5;241m=\u001b[39medgecolors, plotnonfinite\u001b[38;5;241m=\u001b[39mplotnonfinite,\n\u001b[0;32m   2823\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdata\u001b[39m\u001b[38;5;124m\"\u001b[39m: data} \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {}), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   2824\u001b[0m     sci(__ret)\n\u001b[0;32m   2825\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m __ret\n",
1443
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\__init__.py:1412\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1409\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[0;32m   1410\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m   1411\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1412\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m func(ax, \u001b[38;5;241m*\u001b[39m\u001b[38;5;28mmap\u001b[39m(sanitize_sequence, args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1414\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1415\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[0;32m   1416\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
1444
      "File \u001b[1;32m~\\anaconda3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:4362\u001b[0m, in \u001b[0;36mAxes.scatter\u001b[1;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, plotnonfinite, **kwargs)\u001b[0m\n\u001b[0;32m   4360\u001b[0m y \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mma\u001b[38;5;241m.\u001b[39mravel(y)\n\u001b[0;32m   4361\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m x\u001b[38;5;241m.\u001b[39msize \u001b[38;5;241m!=\u001b[39m y\u001b[38;5;241m.\u001b[39msize:\n\u001b[1;32m-> 4362\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mx and y must be the same size\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   4364\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m s \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   4365\u001b[0m     s \u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m20\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m rcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_internal.classic_mode\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;28;01melse\u001b[39;00m\n\u001b[0;32m   4366\u001b[0m          rcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlines.markersize\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2.0\u001b[39m)\n",
1445
      "\u001b[1;31mValueError\u001b[0m: x and y must be the same size"
1446
     ]
1447
    },
1448
    {
1449
     "data": {
1450
      "image/png": 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\n",
1451
      "text/plain": [
1452
       "<Figure size 1170x827 with 1 Axes>"
1453
      ]
1454
     },
1455
     "metadata": {},
1456
     "output_type": "display_data"
1457
    }
1458
   ],
1459
   "source": [
1460
    "plt.scatter(X_test, y_test)\n",
1461
    "plt.plot(X_test, y_pred, c='r')"
1462
   ]
1463
  },
1464
  {
1465
   "cell_type": "code",
1466
   "execution_count": 29,
1467
   "metadata": {
1468
    "id": "uISz7-2_xrlt"
1469
   },
1470
   "outputs": [],
1471
   "source": [
1472
    "# Альтернативный способ из statsmodel"
1473
   ]
1474
  },
1475
  {
1476
   "cell_type": "code",
1477
   "execution_count": 30,
1478
   "metadata": {
1479
    "id": "gRPgPFkHxlxY"
1480
   },
1481
   "outputs": [],
1482
   "source": [
1483
    "import statsmodels.api as sm\n",
1484
    "from statsmodels.sandbox.regression.predstd import wls_prediction_std"
1485
   ]
1486
  },
1487
  {
1488
   "cell_type": "code",
1489
   "execution_count": 31,
1490
   "metadata": {
1491
    "id": "3yJNX2vObi6T"
1492
   },
1493
   "outputs": [],
1494
   "source": [
1495
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=42)"
1496
   ]
1497
  },
1498
  {
1499
   "cell_type": "code",
1500
   "execution_count": 32,
1501
   "metadata": {
1502
    "colab": {
1503
     "base_uri": "https://localhost:8080/"
1504
    },
1505
    "id": "bGOrfAD8xxoj",
1506
    "outputId": "b15ab8b4-1f09-4aa9-ea57-600230751b93"
1507
   },
1508
   "outputs": [],
1509
   "source": [
1510
    "X_const = sm.add_constant(X_train) # техническая особенность библиотеки, надо руками добавить константу"
1511
   ]
1512
  },
1513
  {
1514
   "cell_type": "code",
1515
   "execution_count": 33,
1516
   "metadata": {
1517
    "colab": {
1518
     "base_uri": "https://localhost:8080/",
1519
     "height": 424
1520
    },
1521
    "id": "G5lR_waGS4Qq",
1522
    "outputId": "e969a691-ec5c-44b4-aeef-06683300e540"
1523
   },
1524
   "outputs": [
1525
    {
1526
     "data": {
1527
      "text/html": [
1528
       "<div>\n",
1529
       "<style scoped>\n",
1530
       "    .dataframe tbody tr th:only-of-type {\n",
1531
       "        vertical-align: middle;\n",
1532
       "    }\n",
1533
       "\n",
1534
       "    .dataframe tbody tr th {\n",
1535
       "        vertical-align: top;\n",
1536
       "    }\n",
1537
       "\n",
1538
       "    .dataframe thead th {\n",
1539
       "        text-align: right;\n",
1540
       "    }\n",
1541
       "</style>\n",
1542
       "<table border=\"1\" class=\"dataframe\">\n",
1543
       "  <thead>\n",
1544
       "    <tr style=\"text-align: right;\">\n",
1545
       "      <th></th>\n",
1546
       "      <th>const</th>\n",
1547
       "      <th>CRIM</th>\n",
1548
       "      <th>AGE</th>\n",
1549
       "      <th>RAD</th>\n",
1550
       "      <th>RM</th>\n",
1551
       "      <th>CHAS</th>\n",
1552
       "    </tr>\n",
1553
       "  </thead>\n",
1554
       "  <tbody>\n",
1555
       "    <tr>\n",
1556
       "      <th>5</th>\n",
1557
       "      <td>1.0</td>\n",
1558
       "      <td>0.02985</td>\n",
1559
       "      <td>58.7</td>\n",
1560
       "      <td>3.0</td>\n",
1561
       "      <td>6.430</td>\n",
1562
       "      <td>0.0</td>\n",
1563
       "    </tr>\n",
1564
       "    <tr>\n",
1565
       "      <th>116</th>\n",
1566
       "      <td>1.0</td>\n",
1567
       "      <td>0.13158</td>\n",
1568
       "      <td>72.5</td>\n",
1569
       "      <td>6.0</td>\n",
1570
       "      <td>6.176</td>\n",
1571
       "      <td>0.0</td>\n",
1572
       "    </tr>\n",
1573
       "    <tr>\n",
1574
       "      <th>45</th>\n",
1575
       "      <td>1.0</td>\n",
1576
       "      <td>0.17142</td>\n",
1577
       "      <td>33.8</td>\n",
1578
       "      <td>3.0</td>\n",
1579
       "      <td>5.682</td>\n",
1580
       "      <td>0.0</td>\n",
1581
       "    </tr>\n",
1582
       "    <tr>\n",
1583
       "      <th>16</th>\n",
1584
       "      <td>1.0</td>\n",
1585
       "      <td>1.05393</td>\n",
1586
       "      <td>29.3</td>\n",
1587
       "      <td>4.0</td>\n",
1588
       "      <td>5.935</td>\n",
1589
       "      <td>0.0</td>\n",
1590
       "    </tr>\n",
1591
       "    <tr>\n",
1592
       "      <th>468</th>\n",
1593
       "      <td>1.0</td>\n",
1594
       "      <td>15.57570</td>\n",
1595
       "      <td>71.0</td>\n",
1596
       "      <td>24.0</td>\n",
1597
       "      <td>5.926</td>\n",
1598
       "      <td>0.0</td>\n",
1599
       "    </tr>\n",
1600
       "    <tr>\n",
1601
       "      <th>...</th>\n",
1602
       "      <td>...</td>\n",
1603
       "      <td>...</td>\n",
1604
       "      <td>...</td>\n",
1605
       "      <td>...</td>\n",
1606
       "      <td>...</td>\n",
1607
       "      <td>...</td>\n",
1608
       "    </tr>\n",
1609
       "    <tr>\n",
1610
       "      <th>106</th>\n",
1611
       "      <td>1.0</td>\n",
1612
       "      <td>0.17120</td>\n",
1613
       "      <td>91.9</td>\n",
1614
       "      <td>5.0</td>\n",
1615
       "      <td>5.836</td>\n",
1616
       "      <td>0.0</td>\n",
1617
       "    </tr>\n",
1618
       "    <tr>\n",
1619
       "      <th>270</th>\n",
1620
       "      <td>1.0</td>\n",
1621
       "      <td>0.29916</td>\n",
1622
       "      <td>42.1</td>\n",
1623
       "      <td>3.0</td>\n",
1624
       "      <td>5.856</td>\n",
1625
       "      <td>0.0</td>\n",
1626
       "    </tr>\n",
1627
       "    <tr>\n",
1628
       "      <th>348</th>\n",
1629
       "      <td>1.0</td>\n",
1630
       "      <td>0.01501</td>\n",
1631
       "      <td>29.7</td>\n",
1632
       "      <td>4.0</td>\n",
1633
       "      <td>6.635</td>\n",
1634
       "      <td>0.0</td>\n",
1635
       "    </tr>\n",
1636
       "    <tr>\n",
1637
       "      <th>435</th>\n",
1638
       "      <td>1.0</td>\n",
1639
       "      <td>11.16040</td>\n",
1640
       "      <td>94.6</td>\n",
1641
       "      <td>24.0</td>\n",
1642
       "      <td>6.629</td>\n",
1643
       "      <td>0.0</td>\n",
1644
       "    </tr>\n",
1645
       "    <tr>\n",
1646
       "      <th>102</th>\n",
1647
       "      <td>1.0</td>\n",
1648
       "      <td>0.22876</td>\n",
1649
       "      <td>85.4</td>\n",
1650
       "      <td>5.0</td>\n",
1651
       "      <td>6.405</td>\n",
1652
       "      <td>0.0</td>\n",
1653
       "    </tr>\n",
1654
       "  </tbody>\n",
1655
       "</table>\n",
1656
       "<p>354 rows × 6 columns</p>\n",
1657
       "</div>"
1658
      ],
1659
      "text/plain": [
1660
       "     const      CRIM   AGE   RAD     RM  CHAS\n",
1661
       "5      1.0   0.02985  58.7   3.0  6.430   0.0\n",
1662
       "116    1.0   0.13158  72.5   6.0  6.176   0.0\n",
1663
       "45     1.0   0.17142  33.8   3.0  5.682   0.0\n",
1664
       "16     1.0   1.05393  29.3   4.0  5.935   0.0\n",
1665
       "468    1.0  15.57570  71.0  24.0  5.926   0.0\n",
1666
       "..     ...       ...   ...   ...    ...   ...\n",
1667
       "106    1.0   0.17120  91.9   5.0  5.836   0.0\n",
1668
       "270    1.0   0.29916  42.1   3.0  5.856   0.0\n",
1669
       "348    1.0   0.01501  29.7   4.0  6.635   0.0\n",
1670
       "435    1.0  11.16040  94.6  24.0  6.629   0.0\n",
1671
       "102    1.0   0.22876  85.4   5.0  6.405   0.0\n",
1672
       "\n",
1673
       "[354 rows x 6 columns]"
1674
      ]
1675
     },
1676
     "execution_count": 33,
1677
     "metadata": {},
1678
     "output_type": "execute_result"
1679
    }
1680
   ],
1681
   "source": [
1682
    "X_const"
1683
   ]
1684
  },
1685
  {
1686
   "cell_type": "code",
1687
   "execution_count": 34,
1688
   "metadata": {
1689
    "colab": {
1690
     "base_uri": "https://localhost:8080/"
1691
    },
1692
    "id": "IfsbRzuJx0Q3",
1693
    "outputId": "3178c74d-6011-4e03-83dd-6fafbb60837b"
1694
   },
1695
   "outputs": [
1696
    {
1697
     "name": "stdout",
1698
     "output_type": "stream",
1699
     "text": [
1700
      "                            OLS Regression Results                            \n",
1701
      "==============================================================================\n",
1702
      "Dep. Variable:                   MEDV   R-squared:                       0.592\n",
1703
      "Model:                            OLS   Adj. R-squared:                  0.586\n",
1704
      "Method:                 Least Squares   F-statistic:                     101.1\n",
1705
      "Date:                Thu, 30 Mar 2023   Prob (F-statistic):           1.33e-65\n",
1706
      "Time:                        01:04:24   Log-Likelihood:                -1135.8\n",
1707
      "No. Observations:                 354   AIC:                             2284.\n",
1708
      "Df Residuals:                     348   BIC:                             2307.\n",
1709
      "Df Model:                           5                                         \n",
1710
      "Covariance Type:            nonrobust                                         \n",
1711
      "==============================================================================\n",
1712
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
1713
      "------------------------------------------------------------------------------\n",
1714
      "const        -21.4184      3.277     -6.535      0.000     -27.865     -14.972\n",
1715
      "CRIM          -0.1410      0.050     -2.818      0.005      -0.239      -0.043\n",
1716
      "AGE           -0.0448      0.013     -3.419      0.001      -0.071      -0.019\n",
1717
      "RAD           -0.1394      0.050     -2.789      0.006      -0.238      -0.041\n",
1718
      "RM             7.7322      0.471     16.415      0.000       6.806       8.659\n",
1719
      "CHAS           5.6015      1.257      4.457      0.000       3.130       8.074\n",
1720
      "==============================================================================\n",
1721
      "Omnibus:                      167.669   Durbin-Watson:                   2.130\n",
1722
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1412.173\n",
1723
      "Skew:                           1.784   Prob(JB):                    2.24e-307\n",
1724
      "Kurtosis:                      12.111   Cond. No.                         777.\n",
1725
      "==============================================================================\n",
1726
      "\n",
1727
      "Notes:\n",
1728
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
1729
     ]
1730
    }
1731
   ],
1732
   "source": [
1733
    "model = sm.OLS(y_train, X_const)\n",
1734
    "results = model.fit()\n",
1735
    "print(results.summary())"
1736
   ]
1737
  },
1738
  {
1739
   "cell_type": "code",
1740
   "execution_count": 35,
1741
   "metadata": {
1742
    "colab": {
1743
     "base_uri": "https://localhost:8080/"
1744
    },
1745
    "id": "MkbvV5W5x3sT",
1746
    "outputId": "d8d2ac42-5e37-4f4f-adaa-4c98190c423b"
1747
   },
1748
   "outputs": [
1749
    {
1750
     "name": "stdout",
1751
     "output_type": "stream",
1752
     "text": [
1753
      "Parameters:  const   -21.418449\n",
1754
      "CRIM     -0.140961\n",
1755
      "AGE      -0.044818\n",
1756
      "RAD      -0.139406\n",
1757
      "RM        7.732167\n",
1758
      "CHAS      5.601523\n",
1759
      "dtype: float64\n",
1760
      "R2:  0.592176717410185\n"
1761
     ]
1762
    }
1763
   ],
1764
   "source": [
1765
    "print('Parameters: ', results.params)\n",
1766
    "print('R2: ', results.rsquared)"
1767
   ]
1768
  },
1769
  {
1770
   "cell_type": "code",
1771
   "execution_count": 36,
1772
   "metadata": {
1773
    "id": "Dk-MEcS0x7KD"
1774
   },
1775
   "outputs": [
1776
    {
1777
     "data": {
1778
      "text/plain": [
1779
       "<matplotlib.legend.Legend at 0x2636065fd00>"
1780
      ]
1781
     },
1782
     "execution_count": 36,
1783
     "metadata": {},
1784
     "output_type": "execute_result"
1785
    },
1786
    {
1787
     "data": {
1788
      "image/png": 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\n",
1789
      "text/plain": [
1790
       "<Figure size 800x600 with 1 Axes>"
1791
      ]
1792
     },
1793
     "metadata": {},
1794
     "output_type": "display_data"
1795
    }
1796
   ],
1797
   "source": [
1798
    "prstd, iv_l, iv_u = wls_prediction_std(results) \n",
1799
    "# для каждой точки получаем не просто сам прогноз, но и доверительный интервал\n",
1800
    "# с увеличением количества факторов, этот интервал будет уменьшаться\n",
1801
    "fig, ax = plt.subplots(figsize=(8,6))\n",
1802
    "\n",
1803
    "ax.plot(X_const.iloc[:, 1], y_train, 'o', label=\"data\")\n",
1804
    "ax.plot(X_const.iloc[:, 1], results.fittedvalues, 'r--.', label=\"OLS\")\n",
1805
    "ax.plot(X_const.iloc[:, 1], iv_u, 'g--')\n",
1806
    "ax.plot(X_const.iloc[:, 1], iv_l, 'g--')\n",
1807
    "ax.legend(loc='best')"
1808
   ]
1809
  },
1810
  {
1811
   "cell_type": "code",
1812
   "execution_count": 37,
1813
   "metadata": {
1814
    "id": "of0t2NF2yDwO"
1815
   },
1816
   "outputs": [
1817
    {
1818
     "data": {
1819
      "text/plain": [
1820
       "Text(0, 0.5, 'Остатки')"
1821
      ]
1822
     },
1823
     "execution_count": 37,
1824
     "metadata": {},
1825
     "output_type": "execute_result"
1826
    },
1827
    {
1828
     "data": {
1829
      "image/png": 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\n",
1830
      "text/plain": [
1831
       "<Figure size 1170x827 with 1 Axes>"
1832
      ]
1833
     },
1834
     "metadata": {},
1835
     "output_type": "display_data"
1836
    }
1837
   ],
1838
   "source": [
1839
    "# посмотрим на остатки\n",
1840
    "plt.scatter(x=X_const.iloc[:, 1], y=results.resid)\n",
1841
    "plt.xlabel('Прогноз')\n",
1842
    "plt.ylabel('Остатки')"
1843
   ]
1844
  },
1845
  {
1846
   "cell_type": "code",
1847
   "execution_count": 38,
1848
   "metadata": {
1849
    "colab": {
1850
     "base_uri": "https://localhost:8080/",
1851
     "height": 664
1852
    },
1853
    "id": "u39jhKy9yglo",
1854
    "outputId": "b3e202b6-6842-4860-e54a-ae1760a38be0"
1855
   },
1856
   "outputs": [
1857
    {
1858
     "data": {
1859
      "text/plain": [
1860
       "(array([  1.,   0.,   2.,   3.,  21.,  57., 116.,  79.,  40.,  14.,   9.,\n",
1861
       "          6.,   1.,   1.,   2.,   0.,   1.,   0.,   0.,   1.]),\n",
1862
       " array([-22.62057705, -19.41416753, -16.20775802, -13.0013485 ,\n",
1863
       "         -9.79493898,  -6.58852946,  -3.38211995,  -0.17571043,\n",
1864
       "          3.03069909,   6.2371086 ,   9.44351812,  12.64992764,\n",
1865
       "         15.85633715,  19.06274667,  22.26915619,  25.4755657 ,\n",
1866
       "         28.68197522,  31.88838474,  35.09479425,  38.30120377,\n",
1867
       "         41.50761329]),\n",
1868
       " <BarContainer object of 20 artists>)"
1869
      ]
1870
     },
1871
     "execution_count": 38,
1872
     "metadata": {},
1873
     "output_type": "execute_result"
1874
    },
1875
    {
1876
     "data": {
1877
      "image/png": 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\n",
1878
      "text/plain": [
1879
       "<Figure size 1170x827 with 1 Axes>"
1880
      ]
1881
     },
1882
     "metadata": {},
1883
     "output_type": "display_data"
1884
    }
1885
   ],
1886
   "source": [
1887
    "plt.hist(results.resid, bins=20)"
1888
   ]
1889
  },
1890
  {
1891
   "cell_type": "code",
1892
   "execution_count": null,
1893
   "metadata": {
1894
    "id": "TOYwD1btbi6Y"
1895
   },
1896
   "outputs": [],
1897
   "source": []
1898
  }
1899
 ],
1900
 "metadata": {
1901
  "colab": {
1902
   "provenance": []
1903
  },
1904
  "kernelspec": {
1905
   "display_name": "Python 3 (ipykernel)",
1906
   "language": "python",
1907
   "name": "python3"
1908
  },
1909
  "language_info": {
1910
   "codemirror_mode": {
1911
    "name": "ipython",
1912
    "version": 3
1913
   },
1914
   "file_extension": ".py",
1915
   "mimetype": "text/x-python",
1916
   "name": "python",
1917
   "nbconvert_exporter": "python",
1918
   "pygments_lexer": "ipython3",
1919
   "version": "3.9.13"
1920
  }
1921
 },
1922
 "nbformat": 4,
1923
 "nbformat_minor": 1
1924
}
1925