diff --git a/IITK/Assignments/Assignment 1/JAI_GAIKWAD_230407.ipynb b/IITK/Assignments/Assignment 1/JAI_GAIKWAD_230407.ipynb new file mode 100644 index 00000000..cfc0e245 --- /dev/null +++ b/IITK/Assignments/Assignment 1/JAI_GAIKWAD_230407.ipynb @@ -0,0 +1,685 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "id": "29c9b0a5-07bd-4243-b053-ba89c6397863", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[[-0.78182471 -1.71978888 -0.78182471 -0.24069153]\n", + " [ 0.80549928 -1.2508068 0.91372592 0.51689492]\n", + " [ 0.08398838 -0.8539758 1.31055692 1.0580281 ]\n", + " [-0.92612689 0.98587701 -0.56537144 0.94980147]]\n", + "\n", + " [[-1.07042907 1.27448137 1.20233028 -0.63752253]\n", + " [-0.70967362 -0.92612689 -1.28688234 -0.63752253]\n", + " [ 0.12006392 -0.89005134 -0.96220243 0.3365172 ]\n", + " [ 1.02195256 -1.03435352 -1.2508068 0.3365172 ]]\n", + "\n", + " [[ 0.73334819 0.6611971 -0.96220243 -0.31284262]\n", + " [ 1.20233028 -0.56537144 -1.53941116 -1.75586443]\n", + " [ 1.27448137 -1.2508068 0.19221501 1.0580281 ]\n", + " [ 1.52701019 0.04791283 -0.67359807 0.98587701]]\n", + "\n", + " [[ 1.77953901 -0.0603138 1.4548591 1.56308573]\n", + " [-0.67359807 -1.21473125 -0.20461598 0.69727265]\n", + " [-1.10650461 0.73334819 1.4548591 -0.24069153]\n", + " [-1.50333561 1.20233028 0.98587701 0.12006392]]]\n" + ] + } + ], + "source": [ + "#question 1\n", + "import numpy as np\n", + "\n", + "a = np.random.randint(1,101,size=(4,4,4))\n", + "\n", + "mean = np.mean(a)\n", + "std = np.std(a)\n", + "\n", + "#the z score normalization array can be obtained as follows\n", + "z_score = (a-mean)/std\n", + "\n", + "print(z_score)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "3bf5b7d4-2b88-491f-85e4-f397601af270", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([-696., 0., 1080.])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Q5. Using NumPy, calculate the dot product of two matrices and find the determinant of the resulting matrix.\n", + "import numpy as np\n", + "a = np.random.randint(7,size=(3,3,3))\n", + "b = np.random.randint(7,size=(3,3,3))\n", + "z = np.matmul(a,b)\n", + "np.linalg.det(z)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5b1b0165-56b1-41c3-a57b-a84951e5f468", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1, 2, 3],\n", + " [5, 6, 7]])" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Q8. Using NumPy, create a 2D array and perform a slicing operation to extract a specific sub-array.\n", + "a = np.array([[1,2,3,4,5],[5,6,7,8,9]])\n", + "a[:,0:3] # Slicing the 2D array to get the specific sub array" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "835d44fa-31d7-464e-84fa-137343d0d5ec", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " sepal_length sepal_width petal_length petal_width species\n", + "50 7.0 3.2 4.7 1.4 versicolor\n", + "51 6.4 3.2 4.5 1.5 versicolor\n", + "52 6.9 3.1 4.9 1.5 versicolor\n", + "53 5.5 2.3 4.0 1.3 versicolor\n", + "54 6.5 2.8 4.6 1.5 versicolor\n", + ".. ... ... ... ... ...\n", + "145 6.7 3.0 5.2 2.3 virginica\n", + "146 6.3 2.5 5.0 1.9 virginica\n", + "147 6.5 3.0 5.2 2.0 virginica\n", + "148 6.2 3.4 5.4 2.3 virginica\n", + "149 5.9 3.0 5.1 1.8 virginica\n", + "\n", + "[99 rows x 5 columns]\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "iris = sns.load_dataset('iris')\n", + "\n", + "# Filter the rows where petal length is greater than 3.0\n", + "filtered_data = iris[iris['petal_length'] > 3.0]\n", + "\n", + "# Display the filtered data\n", + "print(filtered_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ad11c07b-d36a-4724-a1be-43e1e06b0ce3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sepal_lengthsepal_widthpetal_lengthpetal_widthspecies
05.13.51.40.2setosa
14.93.01.40.2setosa
24.73.21.30.2setosa
34.63.11.50.2setosa
45.03.61.40.2setosa
..................
1456.73.05.22.3virginica
1466.32.55.01.9virginica
1476.53.05.22.0virginica
1486.23.45.42.3virginica
1495.93.05.11.8virginica
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" + ], + "text/plain": [ + " sepal_length sepal_width petal_length petal_width species\n", + "0 5.1 3.5 1.4 0.2 setosa\n", + "1 4.9 3.0 1.4 0.2 setosa\n", + "2 4.7 3.2 1.3 0.2 setosa\n", + "3 4.6 3.1 1.5 0.2 setosa\n", + "4 5.0 3.6 1.4 0.2 setosa\n", + ".. ... ... ... ... ...\n", + "145 6.7 3.0 5.2 2.3 virginica\n", + "146 6.3 2.5 5.0 1.9 virginica\n", + "147 6.5 3.0 5.2 2.0 virginica\n", + "148 6.2 3.4 5.4 2.3 virginica\n", + "149 5.9 3.0 5.1 1.8 virginica\n", + "\n", + "[150 rows x 5 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "\n", + "data = sns.load_dataset('iris')\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "297c7cb5-553b-4dc9-aaa8-08943cb231ac", + "metadata": {}, + "outputs": [], + "source": [ + "filtered = data[data['petal_length']>3]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "0f09cf8c-d140-4358-b4cd-01dab600f404", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " sepal_length sepal_width petal_length petal_width species\n", + "50 7.0 3.2 4.7 1.4 versicolor\n", + "51 6.4 3.2 4.5 1.5 versicolor\n", + "52 6.9 3.1 4.9 1.5 versicolor\n", + "53 5.5 2.3 4.0 1.3 versicolor\n", + "54 6.5 2.8 4.6 1.5 versicolor\n", + ".. ... ... ... ... ...\n", + "145 6.7 3.0 5.2 2.3 virginica\n", + "146 6.3 2.5 5.0 1.9 virginica\n", + "147 6.5 3.0 5.2 2.0 virginica\n", + "148 6.2 3.4 5.4 2.3 virginica\n", + "149 5.9 3.0 5.1 1.8 virginica\n", + "\n", + "[99 rows x 5 columns]\n" + ] + } + ], + "source": [ + "print(filtered)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e435457a-b3b6-4c44-9ee5-76828b9a1e7d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original DataFrame with NaN values:\n", + " A B C\n", + "0 0.374540 0.950714 0.731994\n", + "1 0.598658 0.156019 0.155995\n", + "2 0.058084 0.866176 0.601115\n", + "3 NaN 0.020584 0.969910\n", + "4 0.832443 0.212339 0.181825\n", + "5 0.183405 0.304242 0.524756\n", + "6 0.431945 NaN 0.611853\n", + "7 0.139494 0.292145 0.366362\n", + "8 0.456070 0.785176 NaN\n", + "9 0.514234 0.592415 0.046450\n", + "\n", + "DataFrame after replacing NaN values with the mean of the column:\n", + " A B C\n", + "0 0.374540 0.950714 0.731994\n", + "1 0.598658 0.156019 0.155995\n", + "2 0.058084 0.866176 0.601115\n", + "3 0.398764 0.020584 0.969910\n", + "4 0.832443 0.212339 0.181825\n", + "5 0.183405 0.304242 0.524756\n", + "6 0.431945 0.464423 0.611853\n", + "7 0.139494 0.292145 0.366362\n", + "8 0.456070 0.785176 0.465584\n", + "9 0.514234 0.592415 0.046450\n", + "\n", + "DataFrame sorted by columns 'A' (ascending) and 'B' (descending):\n", + " A B C\n", + "2 0.058084 0.866176 0.601115\n", + "7 0.139494 0.292145 0.366362\n", + "5 0.183405 0.304242 0.524756\n", + "0 0.374540 0.950714 0.731994\n", + "3 0.398764 0.020584 0.969910\n", + "6 0.431945 0.464423 0.611853\n", + "8 0.456070 0.785176 0.465584\n", + "9 0.514234 0.592415 0.046450\n", + "1 0.598658 0.156019 0.155995\n", + "4 0.832443 0.212339 0.181825\n" + ] + } + ], + "source": [ + "#Q4.Create a Pandas DataFrame with random values with at least 3 columns and perform the following operations: (i) Replace NaN values with the mean of the column. (ii) Sort the DataFrame based on any two columns.\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "np.random.seed(42)\n", + "data = np.random.rand(10, 3) \n", + "df = pd.DataFrame(data, columns=['A', 'B', 'C'])\n", + "\n", + "\n", + "df.iloc[3, 0] = np.nan\n", + "df.iloc[6, 1] = np.nan\n", + "df.iloc[8, 2] = np.nan\n", + "\n", + "\n", + "print(\"Original DataFrame with NaN values:\")\n", + "print(df)\n", + "df.fillna(df.mean(), inplace=True)\n", + "\n", + "print(\"\\nDataFrame after replacing NaN values with the mean of the column:\")\n", + "print(df)\n", + "\n", + "df_sorted = df.sort_values(by=['A', 'B'], ascending=[True, False])\n", + "\n", + "print(\"\\nDataFrame sorted by columns 'A' (ascending) and 'B' (descending):\")\n", + "print(df_sorted)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fb305c20-6fce-41b2-9766-cdd039ae9010", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Category\n", + "A 11\n", + "B 15\n", + "C 9\n", + "Name: Value, dtype: int64\n" + ] + } + ], + "source": [ + "#Q6. With Pandas, group a DataFrame by a categorical column and calculate the sum of another numerical column for each group.\n", + "import pandas as pd\n", + "var = pd.DataFrame({\"Category\":['A','A','B','B','C'],\"Value\":[5,6,7,8,9]})\n", + "var\n", + "result = var.groupby('Category')['Value'].sum()\n", + "print(result)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "04c18d21-9e85-4fa4-8afe-30204e901f7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Category Value\n", + "0 A 5\n", + "1 B 6\n", + "2 C 7\n", + "3 D 8\n", + "4 E 9\n", + " Category ids\n", + "0 A 5\n", + "1 B 6\n", + "2 C 7\n", + "3 D 8\n", + "4 E 9\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Category Value ids\n", + "0 A 5 5\n", + "1 B 6 6\n", + "2 C 7 7\n", + "3 D 8 8\n", + "4 E 9 9" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Q9. Using Pandas, perform a merge operation between two DataFrames based on a common column for dataset of your choice.\n", + "import pandas as pd\n", + "\n", + "var1 = pd.DataFrame({\"Category\":['A','B','C','D','E'],\"Value\":[5,6,7,8,9]})\n", + "var2 = pd.DataFrame({\"Category\":['A','B','C','D','E'],\"ids\":[5,6,7,8,9]})\n", + "print(var1)\n", + "print(var2)\n", + "pd.merge(var1,var2,on = \"Category\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1d8cb0a3-9a75-4088-8ec8-ac0e109d6cdc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Q3. Using Matplotlib, plot a line graph showing the trend of a numerical dataset. Customize the plot with title, axis labels, and a legend.\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "x = np.arange(0,5,0.1)\n", + "y= np.sin(x)\n", + "\n", + "plt.plot(x, y, label='THE GRAPH', color='r', marker='o')\n", + "\n", + "plt.title('Numerical data') \n", + "plt.xlabel('X-values') \n", + "plt.ylabel('Y-value')\n", + "plt.legend() \n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "4d14aa53-dad3-473c-9c59-3e0360384c45", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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79u2dYxEREYqPj9fu3bslSampqerdu7fLdu3atSsUZOrWrauaNWu6jO3du1fjx4/Xli1bdOLECef/gg4ePOgSZJo3b+78e2RkpCSpWbNmLmMFH0MAoGgnT578/S9vvHFh7v8zsz+ObydPniTImABBxsRCQ0PVoEEDl7GC/3UVZeLEierXr58+/vhjrVixQhMmTNDChQsLBZHyEBoaWmjs+uuvV926dfXGG28oJiZGDodDCQkJOnfunMt6BZeipP+9ud1fxzgVDLgpPv73+/NQPIdDOnLE21XATVworWQuvfRSjRgxQqtXr9aNN96oOXPmSJKCgoIKXZZq3LixfvvtN23ZssU5dvLkSaWmpqpJkyaSpPj4eG3bts1lu78+LkrBPI8//ri6du2qxo0b69SpU3/32wMAVDIEmUoiJydHw4YN04YNG3TgwAF9/vnn2rZtmxr/cYq5Xr16Onv2rNauXasTJ04oOztbDRs2VM+ePXXvvffqs88+086dO3XHHXeodu3a6tmzpyTpgQce0CeffKKpU6dq7969mjlzplasWHHejwWoXr26IiIiNGvWLO3bt0/r1q3TyJEjy70PAICKhUtLxfnjGmlF2Y+/v79Onjypu+66S8ePH1fNmjV14403atKkSZKkyy+/XEOGDNEtt9yikydPasKECZo4caLmzJmjhx56SD169NC5c+fUqVMnffLJJ85LOx07dtSMGTM0adIkPf7440pKStKIESP06quvlliPn5+fFi5cqAcffFAJCQmKj4/Xyy+/rM6dO5d3KwAAFYjFMAzD20WUp8zMTFWtWlUZGRkKDw93WZabm6v9+/crLi7O+d4mZnlnX19277336ocfftCnn37qHHM4HMrMzFR4ePgFf+lnUf/Ovsxut+uTTz7Rtdde63IvEAqjV+7bvn27jhw5ottq11ZOmzbeLsen2bZv14IjR1S7dm21oVclKs/fwZKev/+MMzJ/UadOHaXu3l0hPmvpQnn++ed1zTXXKDQ0VCtWrNC8efP0+uuve7ssAEAlQJApQp06dc4bLLx5hsHXbN26VVOmTNGZM2d0ySWX6OWXX9Y999zj7bIAAJUAQQZ/26JFi7xdAgCgkqrcpxIAAICpEWQkVfD7nSs9/n0BoOKq1EGm4A7r7Av4CiVceAX/vryqBQAqnkp9j4y/v7+qVavm/JyekJCQ876RWwGHw6Fz584pNze30t/s6w5v9MswDGVnZys9PV3VqlWTv7//BdkvAODCqdRBRpLz055L+6GDhmEoJydHNpvN7fBTmXmzX9WqVXP5VG8AQMVR6YOMxWJRdHS0atWqJbvd7vZ2drtdmzZtUqdOnbhk4QZv9SswMJAzMQBQgVX6IFPA39+/VE94/v7++u233xQcHEyQcQP9AgCUB27uAAAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApuXVILNp0yZdf/31iomJkcVi0dKlS53L7Ha7xowZo2bNmik0NFQxMTG66667dPToUe8VDAAAfIpXg0xWVpZatGih1157rdCy7Oxsff311xo3bpy+/vprffDBB0pNTdUNN9zghUoBAIAv8uob4nXv3l3du3cvclnVqlWVnJzsMvbqq6+qXbt2OnjwoOrUqXMhSgQAAD7MVO/sm5GRIYvFomrVqhW7Tl5envLy8pyPMzMzJf1+qao0H0FwPgVzeXLOiox+uY9euY9euc/hcEiSbA6HRL9KZPujVw6Hg5+t8yjP30F357QYhmF4fO9lYLFYtGTJEvXq1avI5bm5uerYsaMaNWqkd955p9h5Jk6cqEmTJhUanz9/vkJCQjxVLgAAKEfZ2dnq16+fMjIyFB4eXux6pggydrtdffr00eHDh7Vhw4YSv6GizsjExsbqxIkTJW5XWna7XcnJybrmmmv47CA30C/30Sv30Sv3paSkKC0tTYOio5XTqpW3y/FptpQUzU5LU3R0tFrRqxKV5+9gZmamatased4g4/OXlux2u26++WYdOHBA69atO28YsVqtslqthcYDAwPL5UBXXvNWVPTLffTKffTq/Pz8fn9tR46fn3LoVcn+6JWfnx8/V24qj99Bd+fz6SBTEGL27t2r9evXKyIiwtslAQAAH+LVIHP27Fnt27fP+Xj//v3asWOHatSooejoaN100036+uuv9dFHHyk/P1/Hjh2TJNWoUUNBQUHeKhsAAPgIrwaZ7du3q0uXLs7HI0eOlCT1799fEydO1PLlyyVJLVu2dNlu/fr16ty584UqEwAA+CivBpnOnTurpHuNfeQ+ZAAA4KP4rCUAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaBBkAAGBaXg0ymzZt0vXXX6+YmBhZLBYtXbrUZblhGBo/fryio6Nls9mUmJiovXv3eqdYAADgc7waZLKystSiRQu99tprRS6fMmWKXn75Zc2YMUNbtmxRaGiokpKSlJube4ErBQAAvijAmzvv3r27unfvXuQywzA0bdo0Pf744+rZs6ck6a233lJkZKSWLl2qW2+99UKWCgAAfJBXg0xJ9u/fr2PHjikxMdE5VrVqVbVv315ffPFFsUEmLy9PeXl5zseZmZmSJLvdLrvd7rH6Cuby5JwVGf1yH71yX0GPUlJS5OfHLX8lSU1NVVhYmGwOh8TPVolsDockyeFw8Ht4HuV5vHJ3Tp8NMseOHZMkRUZGuoxHRkY6lxVl8uTJmjRpUqHx1atXKyQkxLNFSkpOTvb4nBUZ/XIfvXJfWlqat0vweWFhYZKk2WlpEv1yS1paGj9bbiqP41V2drZb6/lskCmrsWPHauTIkc7HmZmZio2NVbdu3RQeHu6x/djtdiUnJ+uaa65RYGCgx+atqOiX++iV+1JSUpSWlqZBZ88qJz7e2+X4NNuaNZrduLEGRUcrp1Urb5fj02wpKZqdlqbo6Gi1olclKs/jVcEVlfPx2SATFRUlSTp+/Liio6Od48ePH1fLli2L3c5qtcpqtRYaDwwMLJcnhfKat6KiX+6jV+dXcDkpJz5eOW3aeLkaH5eaKknK8fNTDj9XJfvj58rPz4/fQTeVx/HK3fl89qJyXFycoqKitHbtWudYZmamtmzZog4dOnixMgAA4Cu8ekbm7Nmz2rdvn/Px/v37tWPHDtWoUUN16tTR8OHD9eSTT6phw4aKi4vTuHHjFBMTo169enmvaAAA4DO8GmS2b9+uLl26OB8X3NvSv39/zZ07V4888oiysrI0ePBgnT59WldccYVWrlyp4OBgb5UMAAB8iFeDTOfOnWUYRrHLLRaLnnjiCT3xxBMXsCoAAGAWPnuPDAAAwPkQZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkRZAAAgGkFeLsAAEXbuXOn/Pz4v0ZJUlNTFRYW5u0yUEGlpqbyO3geDofD2yUQZABfc/jwYUlSp06dlJOT4+VqfJvNZtOCBQu8XQYqmmPHJEn33nsvv4PnUfA7ePjwYcXFxXmlBoIM4GNOnjz5+1/eeENq3Ni7xfi6lSu9XQEqoowMKSyM30F37N4t6ffjFkEGgKv4eOmyy7xdhW/74yAKlAt+B8/P4ZCOHPFqCVz8AwAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApkWQAQAApuXTQSY/P1/jxo1TXFycbDab6tevr3//+98yDMPbpQEAAB8Q4O0CSvLss89q+vTpmjdvnpo2bart27dr4MCBqlq1qh588EFvlwcAALzMp4PM5s2b1bNnT1133XWSpHr16mnBggXaunWrlysDAAC+wKeDzOWXX65Zs2Zpz549uvTSS7Vz50599tlnmjp1arHb5OXlKS8vz/k4MzNTkmS322W32z1WW8FcnpyzIqNf7nM4HJIkm8Mh0a8S2Qr+pFfnRa/cR6/cZ/vjeOVwODx+fHd3PovhwzecOBwO/d///Z+mTJkif39/5efn66mnntLYsWOL3WbixImaNGlSofH58+crJCSkPMsFAAAekp2drX79+ikjI0Ph4eHFrufTQWbhwoUaPXq0nnvuOTVt2lQ7duzQ8OHDNXXqVPXv37/IbYo6IxMbG6sTJ06U2IjSstvtSk5O1jXXXKPAwECPzVtR0S/3paSkKC0tTYOio5XTqpW3y/FptkWLNDssjF65gV65j165z5aSotlpaYqOjlYrD/cqMzNTNWvWPG+QKdWlpZtvvlkzZ85U9erV/3aB7hg9erQeffRR3XrrrZKkZs2a6cCBA5o8eXKxQcZqtcpqtRYaDwwMLJcn0PKat6KiX+fn5/f7iwlz/PyUQ6/cQq/cR6/cR6/c8Mfxys/Pz+PHdnfnK9XLrw8fPqymTZvq448/LlNRpZWdne08qBfw9/d33kMAAAAqt1IFmc8//1wjRoxQ3759dc899+js2bPlVZck6frrr9dTTz2ljz/+WD///LOWLFmiqVOnqnfv3uW6XwAAYA6lurRksVg0evRoXX/99Ro4cKCaNWumBx54QAEBrtN46j1eXnnlFY0bN07333+/0tPTFRMTo/vuu0/jx4/3yPwAAMDcyvTy60aNGunuu+/WkCFD9OKLL7oEGYvF4rEgU6VKFU2bNk3Tpk3zyHwAAKBiKXWQOX78uO655x599tlnevPNN4u96RYAAKC8leoemYULF6pp06bKycnRzp07CTEAAMCrShVk7r77bk2YMEFr1qxRnTp1yqsmAAAAt5Tq0tKOHTvUsGHD8qoFAACgVEoVZP4cYo4eParPPvtM6enphd7XhU+mBgAAF0KZXrU0d+5c3XfffQoKClJERIQsFotzmSdftQQAAFCSMgWZcePGafz48Ro7dmyhd94FAAC4UMqUQrKzs3XrrbcSYgAAgFeVKYncfffdWrx4sadrAQAAKJUyXVqaPHmyevTooZUrV6pZs2aFPqFy6tSpHikOAACgJGUOMqtWrVJ8fLwkFbrZFwAA4EIoU5B54YUXNHv2bA0YMMDD5QAAALivTPfIWK1WdezY0dO1AAAAlEqZgsxDDz2kV155xdO1AAAAlEqZLi1t3bpV69at00cffaSmTZsWutn3gw8+8EhxAAAAJSlTkKlWrZpuvPFGT9cCAABQKmUKMnPmzPF0HQAAAKVWpiBT4JdfflFqaqokKT4+XhdddJFHigIAAHBHmW72zcrK0qBBgxQdHa1OnTqpU6dOiomJ0d13363s7GxP1wgAAFCkMgWZkSNHauPGjfrwww91+vRpnT59WsuWLdPGjRs1atQoT9cIAABQpDJdWnr//ff13nvvqXPnzs6xa6+9VjabTTfffLOmT5/uqfoAAACKVeZPv46MjCw0XqtWLS4tAQCAC6ZMQaZDhw6aMGGCcnNznWM5OTmaNGmSOnTo4LHiAAAASlKmS0svvfSSkpKSdPHFF6tFixaSpJ07dyo4OFirVq3yaIEAAADFKVOQSUhI0N69e/XOO+/ohx9+kCTddtttuv3222Wz2TxaIAAAQHHK/D4yISEhuvfeez1ZCwAAQKm4HWSWL1/u9qQ33HBDmYoBAAAoDbeDTK9evVweWywWGYZRaEyS8vPz/35lAAAA5+H2q5YcDofza/Xq1WrZsqVWrFjhfEO8FStW6LLLLtPKlSvLs14AAACnMt0jM3z4cM2YMUNXXHGFcywpKUkhISEaPHiwdu/e7bECAQAAilOm95H58ccfVa1atULjVatW1c8///w3SwIAAHBPmYJM27ZtNXLkSB0/ftw5dvz4cY0ePVrt2rXzWHEAAAAlKVOQmT17ttLS0lSnTh01aNBADRo0UJ06dXTkyBG9+eabnq4RAACgSGW6R6ZBgwb65ptvlJyc7HxDvMaNGysxMdH5yiUAAIDyVuY3xLNYLOrWrZu6devmyXoAAADcVuYgs3btWq1du1bp6elyOBwuy2bPnv23CwMAADifMgWZSZMm6YknnlCbNm0UHR3N5SQAAOAVZQoyM2bM0Ny5c3XnnXd6uh4AAAC3lelVS+fOndPll1/u6VoAAABKpUxB5p577tH8+fM9XQsAAECplOnSUm5urmbNmqU1a9aoefPmCgwMdFk+depUjxQHAABQkjIFmW+++UYtW7aUJO3atctlGTf+AgCAC6VMQWb9+vWergMAAKDUynSPzIV05MgR3XHHHYqIiJDNZlOzZs20fft2b5cFAAB8QJnfEG/79u1atGiRDh48qHPnzrks++CDD/52YZJ06tQpdezYUV26dNGKFSt00UUXae/evapevbpH5gcAAOZWpiCzcOFC3XXXXUpKStLq1avVrVs37dmzR8ePH1fv3r09Vtyzzz6r2NhYzZkzxzkWFxfnsfkBAIC5lSnIPP3003rxxRc1dOhQValSRS+99JLi4uJ03333KTo62mPFLV++XElJSerbt682btyo2rVr6/7779e9995b7DZ5eXnKy8tzPs7MzJQk2e122e12j9VWMJcn56zICvqUkpIiPz+fv6LpVampqQoLC5PN4ZD4+SqRreBPenVe9Mp99Mp9tj8+osjhcHj8+dDd+SyGYRilnTw0NFTfffed6tWrp4iICG3YsEHNmjXT7t27dfXVVystLa3UBRclODhYkjRy5Ej17dtX27Zt00MPPaQZM2aof//+RW4zceJETZo0qdD4/PnzFRIS4pG6AABA+crOzla/fv2UkZGh8PDwYtcr0xmZ6tWr68yZM5Kk2rVra9euXWrWrJlOnz6t7OzsslVcBIfDoTZt2ujpp5+WJLVq1Uq7du0qMciMHTtWI0eOdD7OzMxUbGysunXrVmIjSstutys5OVnXXHNNoffRQWEpKSlKS0vToLNnlRMf7+1yfJptzRrNbtxYg6KjldOqlbfL8Wm2RYs0OyyMXrmBXrmPXrnPlpKi2Wlpio6OVisP96rgisr5lCnIdOrUScnJyWrWrJn69u2rhx56SOvWrVNycrKuvvrqskxZpOjoaDVp0sRlrHHjxnr//feL3cZqtcpqtRYaDwwMLJfAUV7zVjQFl5Ny4uOV06aNl6vxcampkqQcPz/l8LPlFnrlPnrlPnrlhj+O7X5+fh5/LnR3vjIFmVdffVW5ubmSpMcee0yBgYHavHmz+vTpo4cffrgsUxapY8eOSv3joF5gz549qlu3rsf2AQAAzKtMd13WqFFDMTExv0/g56dHH31UixYtUkxMjEdPLY0YMUJffvmlnn76ae3bt0/z58/XrFmzNHToUI/tAwAAmFepgkxeXp7Gjh2rNm3a6PLLL9fSpUslSXPmzFH9+vX10ksvacSIER4rrm3btlqyZIkWLFighIQE/fvf/9a0adN0++23e2wfAADAvEp1aWn8+PGaOXOmEhMTtXnzZvXt21cDBw7Ul19+qRdeeEF9+/aVv7+/Rwvs0aOHevTo4dE5AQBAxVCqILN48WK99dZbuuGGG7Rr1y41b95cv/32m3bu3MmHRQIAgAuuVJeWDh8+rNatW0uSEhISZLVaNWLECEIMAADwilIFmfz8fAUFBTkfBwQEKCwszONFAQAAuKNUl5YMw9CAAQOc79OSm5urIUOGKDQ01GU9T31oJAAAQElKFWT++m66d9xxh0eLAQAAKI1SBZk/fwo1AACAt/ExxAAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLQIMgAAwLRMFWSeeeYZWSwWDR8+3NulAAAAH2CaILNt2zbNnDlTzZs393YpAADAR5giyJw9e1a333673njjDVWvXt3b5QAAAB8R4O0C3DF06FBdd911SkxM1JNPPlniunl5ecrLy3M+zszMlCTZ7XbZ7XaP1VQwlyfnrMgcDockyeZwSPSsRLaCP+nVedEr99Er99Er99n+OLY7HA6PPx+6O5/FMAzDo3v2sIULF+qpp57Stm3bFBwcrM6dO6tly5aaNm1aketPnDhRkyZNKjQ+f/58hYSElHO1AADAE7Kzs9WvXz9lZGQoPDy82PV8OsgcOnRIbdq0UXJysvPemPMFmaLOyMTGxurEiRMlNqK07Ha7kpOTdc011ygwMNBj81ZUKSkpSktL06DoaOW0auXtcnyabdEizQ4Lo1duoFfuo1fuo1fus6WkaHZamqKjo9XKw73KzMxUzZo1zxtkfPrS0ldffaX09HRddtllzrH8/Hxt2rRJr776qvLy8uTv7++yjdVqldVqLTRXYGBguQSO8pq3ovHz+/12rBw/P+XQL7fQK/fRK/fRK/fRKzf8cWz38/Pz+HOhu/P5dJDp2rWrvv32W5exgQMHqlGjRhozZkyhEAMAACoXnw4yVapUUUJCgstYaGioIiIiCo0DAIDKxxQvvwYAACiKT5+RKcqGDRu8XQIAAPARnJEBAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmRZABAACmFeDtAsxu586d8vMjD55PamqqwsLCvF0GAKCCIciU0eHDhyVJnTp1Uk5Ojper8X02m00LFizwdhkAgAqGIFNGJ0+e/P0vb7whNW7s3WLMYOVKb1cAAKiACDJ/V3y8dNll3q7C9+3e7e0KAAAVEDd3AAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0yLIAAAA0/LpIDN58mS1bdtWVapUUa1atdSrVy+lpqZ6uywAAOAjfDrIbNy4UUOHDtWXX36p5ORk2e12devWTVlZWd4uDQAA+IAAbxdQkpUrV7o8njt3rmrVqqWvvvpKnTp18lJVAADAV/j0GZm/ysjIkCTVqFHDy5UAAABf4NNnZP7M4XBo+PDh6tixoxISEopdLy8vT3l5ec7HmZmZkiS73S673e7ReiTJ5nBIHpy3orIV/Em/zoteuY9euY9euY9euc/2x3Ohw+Hw6HOsJLfnsxiGYXh0z+XkX//6l1asWKHPPvtMF198cbHrTZw4UZMmTSo0Pn/+fIWEhJRniQAAwEOys7PVr18/ZWRkKDw8vNj1TBFkhg0bpmXLlmnTpk2Ki4srcd2izsjExsbqxIkTJTaitFJSUpSWlqZB0dHKadXKY/NWVLZFizQ7LIx+uYFeuY9euY9euY9euc+WkqLZaWmKjo5WKw/3KjMzUzVr1jxvkPHpS0uGYeiBBx7QkiVLtGHDhvOGGEmyWq2yWq2FxgMDAxUYGOix2vz8fr+9KMfPTzkenLeio1/uo1fuo1fuo1fuo1du+OO50M/Pz6PPsZLcns+ng8zQoUM1f/58LVu2TFWqVNGxY8ckSVWrVpXNZjvP1gAAoKLz6VctTZ8+XRkZGercubOio6OdX++++663SwMAAD7Ap8/ImOD2HQAA4EU+fUYGAACgJAQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWgQZAABgWqYIMq+99prq1aun4OBgtW/fXlu3bvV2SQAAwAf4fJB59913NXLkSE2YMEFff/21WrRooaSkJKWnp3u7NAAA4GU+H2SmTp2qe++9VwMHDlSTJk00Y8YMhYSEaPbs2d4uDQAAeJlPB5lz587pq6++UmJionPMz89PiYmJ+uKLL7xYGQAA8AUB3i6gJCdOnFB+fr4iIyNdxiMjI/XDDz8UuU1eXp7y8vKcjzMyMiRJv/76q+x2u8dqy8zMVHZ2toJTUmScPeuxeSuq4L17lR0fT7/cQK/cR6/cR6/cR6/cF7x3r7LDwpSZmamTJ096dO4zZ85IkgzDKHE9nw4yZTF58mRNmjSp0HhcXJwXqkGBXEn9vF2ESdAr99Er99Er99Er912IXp05c0ZVq1YtdrlPB5maNWvK399fx48fdxk/fvy4oqKiitxm7NixGjlypPOxw+HQr7/+qoiICFksFo/VlpmZqdjYWB06dEjh4eEem7eiol/uo1fuo1fuo1fuo1fuK89eGYahM2fOKCYmpsT1fDrIBAUFqXXr1lq7dq169eol6fdgsnbtWg0bNqzIbaxWq6xWq8tYtWrVyq3G8PBwftBLgX65j165j165j165j165r7x6VdKZmAI+HWQkaeTIkerfv7/atGmjdu3aadq0acrKytLAgQO9XRoAAPAynw8yt9xyi3755ReNHz9ex44dU8uWLbVy5cpCNwADAIDKx+eDjCQNGzas2EtJ3mK1WjVhwoRCl7FQNPrlPnrlPnrlPnrlPnrlPl/olcU43+uaAAAAfJRPvyEeAABASQgyAADAtAgyAADAtAgyAADAtAgyZfTaa6+pXr16Cg4OVvv27bV161Zvl+R1mzZt0vXXX6+YmBhZLBYtXbrUZblhGBo/fryio6Nls9mUmJiovXv3eqdYL5s8ebLatm2rKlWqqFatWurVq5dSU1Nd1snNzdXQoUMVERGhsLAw9enTp9C7XFcG06dPV/PmzZ1vuNWhQwetWLHCuZw+Fe+ZZ56RxWLR8OHDnWP0638mTpwoi8Xi8tWoUSPncnrl6siRI7rjjjsUEREhm82mZs2aafv27c7l3jrGE2TK4N1339XIkSM1YcIEff3112rRooWSkpKUnp7u7dK8KisrSy1atNBrr71W5PIpU6bo5Zdf1owZM7RlyxaFhoYqKSlJubm5F7hS79u4caOGDh2qL7/8UsnJybLb7erWrZuysrKc64wYMUIffvihFi9erI0bN+ro0aO68cYbvVi1d1x88cV65pln9NVXX2n79u26+uqr1bNnT3333XeS6FNxtm3bppkzZ6p58+Yu4/TLVdOmTZWWlub8+uyzz5zL6NX/nDp1Sh07dlRgYKBWrFih77//Xi+88IKqV6/uXMdrx3gDpdauXTtj6NChzsf5+flGTEyMMXnyZC9W5VskGUuWLHE+djgcRlRUlPHcc885x06fPm1YrVZjwYIFXqjQt6SnpxuSjI0bNxqG8XtvAgMDjcWLFzvX2b17tyHJ+OKLL7xVps+oXr268Z///Ic+FePMmTNGw4YNjeTkZOOqq64yHnroIcMw+Ln6qwkTJhgtWrQochm9cjVmzBjjiiuuKHa5N4/xnJEppXPnzumrr75SYmKic8zPz0+JiYn64osvvFiZb9u/f7+OHTvm0reqVauqffv29E1SRkaGJKlGjRqSpK+++kp2u92lX40aNVKdOnUqdb/y8/O1cOFCZWVlqUOHDvSpGEOHDtV1113n0heJn6ui7N27VzExMbrkkkt0++236+DBg5Lo1V8tX75cbdq0Ud++fVWrVi21atVKb7zxhnO5N4/xBJlSOnHihPLz8wt9REJkZKSOHTvmpap8X0Fv6FthDodDw4cPV8eOHZWQkCDp934FBQUV+sDTytqvb7/9VmFhYbJarRoyZIiWLFmiJk2a0KciLFy4UF9//bUmT55caBn9ctW+fXvNnTtXK1eu1PTp07V//35deeWVOnPmDL36i59++knTp09Xw4YNtWrVKv3rX//Sgw8+qHnz5kny7jHeFB9RAFRkQ4cO1a5du1yuzcNVfHy8duzYoYyMDL333nvq37+/Nm7c6O2yfM6hQ4f00EMPKTk5WcHBwd4ux+d1797d+ffmzZurffv2qlu3rhYtWiSbzebFynyPw+FQmzZt9PTTT0uSWrVqpV27dmnGjBnq37+/V2vjjEwp1axZU/7+/oXuXD9+/LiioqK8VJXvK+gNfXM1bNgwffTRR1q/fr0uvvhi53hUVJTOnTun06dPu6xfWfsVFBSkBg0aqHXr1po8ebJatGihl156iT79xVdffaX09HRddtllCggIUEBAgDZu3KiXX35ZAQEBioyMpF8lqFatmi699FLt27ePn62/iI6OVpMmTVzGGjdu7LwU581jPEGmlIKCgtS6dWutXbvWOeZwOLR27Vp16NDBi5X5tri4OEVFRbn0LTMzU1u2bKmUfTMMQ8OGDdOSJUu0bt06xcXFuSxv3bq1AgMDXfqVmpqqgwcPVsp+/ZXD4VBeXh59+ouuXbvq22+/1Y4dO5xfbdq00e233+78O/0q3tmzZ/Xjjz8qOjqan62/6NixY6G3iNizZ4/q1q0rycvH+HK9lbiCWrhwoWG1Wo25c+ca33//vTF48GCjWrVqxrFjx7xdmledOXPGSElJMVJSUgxJxtSpU42UlBTjwIEDhmEYxjPPPGNUq1bNWLZsmfHNN98YPXv2NOLi4oycnBwvV37h/etf/zKqVq1qbNiwwUhLS3N+ZWdnO9cZMmSIUadOHWPdunXG9u3bjQ4dOhgdOnTwYtXe8eijjxobN2409u/fb3zzzTfGo48+algsFmP16tWGYdCn8/nzq5YMg3792ahRo4wNGzYY+/fvNz7//HMjMTHRqFmzppGenm4YBr36s61btxoBAQHGU089Zezdu9d45513jJCQEOPtt992ruOtYzxBpoxeeeUVo06dOkZQUJDRrl0748svv/R2SV63fv16Q1Khr/79+xuG8fvL88aNG2dERkYaVqvV6Nq1q5Gamurdor2kqD5JMubMmeNcJycnx7j//vuN6tWrGyEhIUbv3r2NtLQ07xXtJYMGDTLq1q1rBAUFGRdddJHRtWtXZ4gxDPp0Pn8NMvTrf2655RYjOjraCAoKMmrXrm3ccsstxr59+5zL6ZWrDz/80EhISDCsVqvRqFEjY9asWS7LvXWMtxiGYZTvOR8AAIDywT0yAADAtAgyAADAtAgyAADAtAgyAADAtAgyAADAtAgyAADAtAgyAADAtAgyAEzLYrFo6dKl3i4DgBcRZAD8LQMGDJDFYpHFYlFgYKDi4uL0yCOPKDc319ulecTOnTsVFBSk5cuXu4y///77Cg4O1q5du7xUGQCJIAPAA/75z38qLS1NP/30k1588UXNnDlTEyZM8HZZHtGiRQuNHz9egwcP1smTJyVJ6enpGjJkiCZNmqSEhAQvVwhUbgQZAH+b1WpVVFSUYmNj1atXLyUmJio5OVmSdPLkSd12222qXbu2QkJC1KxZMy1YsMBl+86dO+vBBx/UI488oho1aigqKkoTJ050WWfv3r3q1KmTgoOD1aRJE+f8f/btt9/q6quvls1mU0REhAYPHqyzZ886lw8YMEC9evXS008/rcjISFWrVk1PPPGEfvvtN40ePVo1atTQxRdfrDlz5rjMO3bsWNWpU0dDhw6VJN13331q2LChHn74YU+0D8DfQJAB4FG7du3S5s2bFRQUJEnKzc1V69at9fHHH2vXrl0aPHiw7rzzTm3dutVlu3nz5ik0NFRbtmzRlClT9MQTTzjDisPh0I033qigoCBt2bJFM2bM0JgxY1y2z8rKUlJSkqpXr65t27Zp8eLFWrNmjYYNG+ay3rp163T06FFt2rRJU6dO1YQJE9SjRw9Vr15dW7Zs0ZAhQ3Tffffp8OHDzm38/f01b948LVu2TP369dOqVas0d+5c+fv7l0cLAZRGuX8sJYAKrX///oa/v78RGhpqWK1WQ5Lh5+dnvPfee8Vuc9111xmjRo1yPr7qqquMK664wmWdtm3bGmPGjDEMwzBWrVplBAQEGEeOHHEuX7FihSHJWLJkiWEYhjFr1iyjevXqxtmzZ53rfPzxx4afn59x7NgxZ61169Y18vPznevEx8cbV155pfPxb7/9ZoSGhhoLFiwoVPejjz5qSDKeffZZd1oD4ALgjAyAv61Lly7asWOHtmzZov79+2vgwIHq06ePJCk/P1///ve/1axZM9WoUUNhYWFatWqVDh486DJH8+bNXR5HR0crPT1dkrR7927FxsYqJibGubxDhw4u6+/evVstWrRQaGioc6xjx45yOBxKTU11jjVt2lR+fv879EVGRqpZs2bOx/7+/oqIiHDuu8DZs2f17rvvKiQkRJ9++mmp+gOg/BBkAPxtoaGhatCggVq0aKHZs2dry5YtevPNNyVJzz33nF566SWNGTNG69ev144dO5SUlKRz5865zBEYGOjy2GKxyOFweLzWovbjzr5Hjx6t4OBgbd68WWvWrNFbb73l8doAlB5BBoBH+fn56f/+7//0+OOPKycnR59//rl69uypO+64Qy1atNAll1yiPXv2lGrOxo0b69ChQ0pLS3OOffnll4XW2blzp7Kyspxjn3/+ufz8/BQfH/+3vqfk5GT95z//0bx589SiRQs9+eSTGj58uEs9ALyDIAPA4/r27St/f3+99tpratiwoZKTk7V582bt3r1b9913n44fP16q+RITE3XppZeqf//+2rlzpz799FM99thjLuvcfvvtCg4OVv/+/bVr1y6tX79eDzzwgO68805FRkaW+XvJzMzU3XffrdGjR6tt27aSpBEjRqhJkyYaPHhwmecF4BkEGQAeFxAQoGHDhmnKlCkaNWqULrvsMiUlJalz586KiopSr169SjWfn5+flixZopycHLVr10733HOPnnrqKZd1QkJCtGrVKv36669q27atbrrpJnXt2lWvvvrq3/pehg8frqpVq7q8HNzPz09z5szRunXruMQEeJnFMAzD20UAAACUBWdkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaRFkAACAaf0/5yUYQjXpkH0AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Q7. Using Matplotlib, create a histogram to show the distribution of a numerical dataset. Customize the number of bins and add grid lines for better readability.\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import random \n", + "\n", + "x = np.random.randint(0,60,(50))\n", + "plt.hist(x,color='aqua',edgecolor='black',bins = [0,10,20,30,40,50,60],label=\"Histogram\")\n", + "plt.xlabel('RandomX')\n", + "plt.ylabel('RandomY')\n", + "plt.title('RandomHisto')\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "4be0cc80-525d-4876-9016-1ede8e90b967", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Q10. Using Matplotlib, create a scatter plot comparing two numerical variables in the dataset of your choice. Customize the plot by changing the color and shape of the data points.\n", + "import matplotlib.pyplot as plt\n", + "\n", + "x =[1,2,3,4,5,6]\n", + "y=[5,6,2,6,8,9]\n", + "\n", + "plt.scatter(x, y, color='green', marker='o', label='Data Points')\n", + "\n", + "plt.title('Comparing Two Variables') \n", + "plt.xlabel('X-axis Label') \n", + "plt.ylabel('Y-axis Label') \n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33bea7e1-4a78-42c0-84a3-6830d2e6e487", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 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" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 X8 Y1 Y2\n", + "0 0.98 514.5 294.0 110.25 7.0 2.0 0.0 0.0 15.55 21.33\n", + "1 0.98 514.5 294.0 110.25 7.0 3.0 0.0 0.0 15.55 21.33\n", + "2 0.98 514.5 294.0 110.25 7.0 4.0 0.0 0.0 15.55 21.33\n", + "3 0.98 514.5 294.0 110.25 7.0 5.0 0.0 0.0 15.55 21.33\n", + "4 0.90 563.5 318.5 122.50 7.0 2.0 0.0 0.0 20.84 28.28\n", + "... ... ... ... ... ... ... ... ... ... ...\n", + "1291 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1292 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1293 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1294 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "1295 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN\n", + "\n", + "[1296 rows x 10 columns]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "74c3a5f3-d2ba-4933-8116-f8c8df3adae3", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1296 entries, 0 to 1295\n", + "Data columns (total 10 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 X1 768 non-null float64\n", + " 1 X2 768 non-null float64\n", + " 2 X3 768 non-null float64\n", + " 3 X4 768 non-null float64\n", + " 4 X5 768 non-null float64\n", + " 5 X6 768 non-null float64\n", + " 6 X7 768 non-null float64\n", + " 7 X8 768 non-null float64\n", + " 8 Y1 768 non-null float64\n", + " 9 Y2 768 non-null float64\n", + "dtypes: float64(10)\n", + "memory usage: 101.4 KB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "12efad47-8c61-4bed-bcdb-25c06377954b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1296, 10)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "410894fd-b7ae-4e2d-9a78-a92732282e45", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "X1 528\n", + "X2 528\n", + "X3 528\n", + "X4 528\n", + "X5 528\n", + "X6 528\n", + "X7 528\n", + "X8 528\n", + "Y1 528\n", + "Y2 528\n", + "dtype: int64" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isnull().sum()" + ] + }, + { + "cell_type": "markdown", + "id": "95494fec-8899-479d-9b2d-ddb9c319ec3f", + "metadata": {}, + "source": [ + "**So we will be dropping the NaN values**" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "e507fbbd-1724-482e-9f4b-6209fe8d27c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The number of null values now in every column is 0\n" + ] + } + ], + "source": [ + "df = df.dropna()\n", + "print(f'The number of null values now in every column is {df.isnull().sum().sum()}')" + ] + }, + { + "cell_type": "markdown", + "id": "96289a6d-188a-43d6-b8de-6293efb7ba69", + "metadata": {}, + "source": [ + "**Two target variables are heating load and the cooling load. We are supposed to predict the Heating Load**" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "48abff67-bee2-4438-b8dc-fb8f037f6b47", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(x='Y2', data = df) #By continously changing the values of the x attribute inside the boxplot paranthesis we learned that there are no outliers which are needed to be handled" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "d9c2a565-5a6d-4642-bef6-668d265dcf26", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " X1 X2 X3 X4 X5 \\\n", + "X1 1.000000e+00 -9.919015e-01 -2.037817e-01 -8.688234e-01 8.277473e-01 \n", + "X2 -9.919015e-01 1.000000e+00 1.955016e-01 8.807195e-01 -8.581477e-01 \n", + "X3 -2.037817e-01 1.955016e-01 1.000000e+00 -2.923165e-01 2.809757e-01 \n", + "X4 -8.688234e-01 8.807195e-01 -2.923165e-01 1.000000e+00 -9.725122e-01 \n", + "X5 8.277473e-01 -8.581477e-01 2.809757e-01 -9.725122e-01 1.000000e+00 \n", + "X6 4.678592e-17 -3.459372e-17 -2.429499e-17 -5.830058e-17 4.492205e-17 \n", + "X7 -2.960552e-15 3.636925e-15 -8.567455e-17 -1.759011e-15 1.489134e-17 \n", + "X8 -7.107006e-16 2.438409e-15 2.067384e-16 -1.078071e-15 -2.920613e-17 \n", + "Y1 6.222722e-01 -6.581202e-01 4.556712e-01 -8.618283e-01 8.894307e-01 \n", + "Y2 6.343391e-01 -6.729989e-01 4.271170e-01 -8.625466e-01 8.957852e-01 \n", + "\n", + " X6 X7 X8 Y1 Y2 \n", + "X1 4.678592e-17 -2.960552e-15 -7.107006e-16 0.622272 0.634339 \n", + "X2 -3.459372e-17 3.636925e-15 2.438409e-15 -0.658120 -0.672999 \n", + "X3 -2.429499e-17 -8.567455e-17 2.067384e-16 0.455671 0.427117 \n", + "X4 -5.830058e-17 -1.759011e-15 -1.078071e-15 -0.861828 -0.862547 \n", + "X5 4.492205e-17 1.489134e-17 -2.920613e-17 0.889431 0.895785 \n", + "X6 1.000000e+00 -9.406007e-16 -2.549352e-16 -0.002587 0.014290 \n", + "X7 -9.406007e-16 1.000000e+00 2.129642e-01 0.269841 0.207505 \n", + "X8 -2.549352e-16 2.129642e-01 1.000000e+00 0.087368 0.050525 \n", + "Y1 -2.586534e-03 2.698410e-01 8.736759e-02 1.000000 0.975862 \n", + "Y2 1.428960e-02 2.075050e-01 5.052512e-02 0.975862 1.000000 \n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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160.79637.0343.0147.007.02.00.00.028.5237.73
170.79637.0343.0147.007.03.00.00.029.9031.27
180.79637.0343.0147.007.04.00.00.029.6330.93
190.79637.0343.0147.007.05.00.00.028.7539.44
\n", + "
" + ], + "text/plain": [ + " X1 X2 X3 X4 X5 X6 X7 X8 Y1 Y2\n", + "0 0.98 514.5 294.0 110.25 7.0 2.0 0.0 0.0 15.55 21.33\n", + "1 0.98 514.5 294.0 110.25 7.0 3.0 0.0 0.0 15.55 21.33\n", + "2 0.98 514.5 294.0 110.25 7.0 4.0 0.0 0.0 15.55 21.33\n", + "3 0.98 514.5 294.0 110.25 7.0 5.0 0.0 0.0 15.55 21.33\n", + "4 0.90 563.5 318.5 122.50 7.0 2.0 0.0 0.0 20.84 28.28\n", + "5 0.90 563.5 318.5 122.50 7.0 3.0 0.0 0.0 21.46 25.38\n", + "6 0.90 563.5 318.5 122.50 7.0 4.0 0.0 0.0 20.71 25.16\n", + "7 0.90 563.5 318.5 122.50 7.0 5.0 0.0 0.0 19.68 29.60\n", + "8 0.86 588.0 294.0 147.00 7.0 2.0 0.0 0.0 19.50 27.30\n", + "9 0.86 588.0 294.0 147.00 7.0 3.0 0.0 0.0 19.95 21.97\n", + "10 0.86 588.0 294.0 147.00 7.0 4.0 0.0 0.0 19.34 23.49\n", + "11 0.86 588.0 294.0 147.00 7.0 5.0 0.0 0.0 18.31 27.87\n", + "12 0.82 612.5 318.5 147.00 7.0 2.0 0.0 0.0 17.05 23.77\n", + "13 0.82 612.5 318.5 147.00 7.0 3.0 0.0 0.0 17.41 21.46\n", + "14 0.82 612.5 318.5 147.00 7.0 4.0 0.0 0.0 16.95 21.16\n", + "15 0.82 612.5 318.5 147.00 7.0 5.0 0.0 0.0 15.98 24.93\n", + "16 0.79 637.0 343.0 147.00 7.0 2.0 0.0 0.0 28.52 37.73\n", + "17 0.79 637.0 343.0 147.00 7.0 3.0 0.0 0.0 29.90 31.27\n", + "18 0.79 637.0 343.0 147.00 7.0 4.0 0.0 0.0 29.63 30.93\n", + "19 0.79 637.0 343.0 147.00 7.0 5.0 0.0 0.0 28.75 39.44" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head(20)" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "8ce464e3-d526-468e-a471-6b181abfa8fb", + "metadata": {}, + "outputs": [], + "source": [ + "independant_col = ['X1','X2','X3','X4','X5']\n", + "target_col=['Y1','Y2']\n", + "x = df[independant_col]\n", + "y =df[target_col]" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "cd5421f0", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn import linear_model\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.linear_model import LinearRegression, Ridge, Lasso\n", + "from sklearn.metrics import mean_squared_error, r2_score" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "450409f1-68d1-49a6-b893-bd96786d93ef", + "metadata": {}, + "outputs": [], + "source": [ + "x_train,x_test,y_train,y_test= train_test_split(x,y,test_size = 0.2,random_state = 42)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "7ac73354-5427-4cf4-b067-eb622aadcad1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(614, 5)" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_train.shape\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "154a9ff8-5dbf-44a8-94fa-df380c8a9c37", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(154, 5)" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x_test.shape\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "2e1f3eaf-5bb3-42a2-bf45-f348639e15f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.987012987012987" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "614/154" + ] + }, + { + "cell_type": "markdown", + "id": "dad45d2a-481b-4cc3-90de-ec9fd1e9e41d", + "metadata": {}, + "source": [ + "**Therefore the given data has been successfully splited into desired ratio**" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "ede4d806-3717-4a6a-81d7-df2a96a5d311", + "metadata": {}, + "outputs": [], + "source": [ + "lr_model = LinearRegression()\n", + "lr_model.fit(x_train, y_train)\n", + "Y_pred_lr = lr_model.predict(x_test)\n", + "\n", + "# Ridge Regression\n", + "ridge_model = Ridge(alpha=1.0)\n", + "ridge_model.fit(x_train, y_train)\n", + "Y_pred_ridge = ridge_model.predict(x_test)\n", + "\n", + "# Lasso Regression\n", + "lasso_model = Lasso(alpha=1.0)\n", + "lasso_model.fit(x_train, y_train)\n", + "Y_pred_lasso = lasso_model.predict(x_test)" + ] + }, + { + "cell_type": "markdown", + "id": "58fe5de8-1c93-4b54-895c-8790f6a8ad2a", + "metadata": {}, + "source": [ + "**The Scores due to the models used are caluclated below**" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "87c55bc3-6d84-46ff-82e2-e5d1c7cbb1b4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.8512285840905137" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ridge_model.score(x_test,y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "e523bd3f-023b-4a4a-a187-8cfa30a9749b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.8516925183420243" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lr_model.score(x_test,y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "8aec8d40-7e90-4b24-858b-554f490b23f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.7813668369997759" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lasso_model.score(x_test,y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "a4122725-6243-4f16-8b41-402b00ad56f0", + "metadata": {}, + "outputs": [], + "source": [ + "metrics = {}\n", + "def evaluate_model(y_true, y_pred, model_name):\n", + " r2 = r2_score(y_true, y_pred)\n", + " mse = mean_squared_error(y_true, y_pred)\n", + " rmse = np.sqrt(mse)\n", + " metrics[model_name] = {\"R2 Score\": r2, \"MSE\": mse, \"RMSE\": rmse}\n", + "\n", + "\n", + "evaluate_model(y_test, Y_pred_lr, \"Sklearn Linear Regression\")\n", + "evaluate_model(y_test, Y_pred_ridge, \"Ridge Regression\")\n", + "evaluate_model(y_test, Y_pred_lasso, \"Lasso Regression\")" + ] + }, + { + "cell_type": "markdown", + "id": "0a06c243-8dc5-4039-9aa4-6e7d83c3cb7f", + "metadata": {}, + "source": [ + "**Plot predicted**" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "e5bbf013-ab2d-41c3-a855-22813514afb5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "ename": "ValueError", + "evalue": "Length of values (2) does not match length of index (5)", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[75], line 14\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;66;03m# Insights and suggestions\u001b[39;00m\n\u001b[0;32m 13\u001b[0m important_features \u001b[38;5;241m=\u001b[39m lr_model\u001b[38;5;241m.\u001b[39mcoef_\n\u001b[1;32m---> 14\u001b[0m feature_importance \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mSeries\u001b[49m\u001b[43m(\u001b[49m\u001b[43mimportant_features\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39msort_values(ascending\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFeature importance for heating load:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(feature_importance)\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\pandas\\core\\series.py:575\u001b[0m, in \u001b[0;36mSeries.__init__\u001b[1;34m(self, data, index, dtype, name, copy, fastpath)\u001b[0m\n\u001b[0;32m 573\u001b[0m index \u001b[38;5;241m=\u001b[39m default_index(\u001b[38;5;28mlen\u001b[39m(data))\n\u001b[0;32m 574\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m is_list_like(data):\n\u001b[1;32m--> 575\u001b[0m \u001b[43mcom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequire_length_match\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 577\u001b[0m \u001b[38;5;66;03m# create/copy the manager\u001b[39;00m\n\u001b[0;32m 578\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data, (SingleBlockManager, SingleArrayManager)):\n", + "File \u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\pandas\\core\\common.py:573\u001b[0m, in \u001b[0;36mrequire_length_match\u001b[1;34m(data, index)\u001b[0m\n\u001b[0;32m 569\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 570\u001b[0m \u001b[38;5;124;03mCheck the length of data matches the length of the index.\u001b[39;00m\n\u001b[0;32m 571\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 572\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(data) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(index):\n\u001b[1;32m--> 573\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 574\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of values \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 575\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m) \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 576\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdoes not match length of index \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 577\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(index)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 578\u001b[0m )\n", + "\u001b[1;31mValueError\u001b[0m: Length of values (2) does not match length of index (5)" + ] + } + ], + "source": [ + "\n", + "plt.figure(figsize=(12, 8))\n", + "plt.scatter(y_test, Y_pred_lr, label=\"Sklearn Linear Regression\", alpha=0.7)\n", + "plt.scatter(y_test, Y_pred_ridge, label=\"Ridge Regression\", alpha=0.7)\n", + "plt.scatter(y_test, Y_pred_lasso, label=\"Lasso Regression\", alpha=0.7)\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=2)\n", + "plt.xlabel(\"Actual Heating Load\")\n", + "plt.ylabel(\"Predicted Heating Load\")\n", + "plt.legend()\n", + "plt.title(\"Predicted values\")\n", + "plt.show()\n", + "\n", + "# Insights and suggestions\n", + "important_features = lr_model.coef_\n", + "feature_importance = pd.Series(important_features, index=x.columns).sort_values(ascending=False)\n", + "print(\"Feature importance for heating load:\")\n", + "print(feature_importance)\n" + ] + }, + { + "cell_type": "markdown", + "id": "00fe3381-0114-4fba-8974-8e6a50d5c684", + "metadata": {}, + "source": [ + "**SUGGESTION**" + ] + }, + { + "cell_type": "markdown", + "id": "0f5e0b29-a3ab-4819-a1e3-7f0d16bb4d9d", + "metadata": {}, + "source": [ + "**1. Focus on improving insulation and wall design as wall area significantly impacts heating load.\n", + "2. Optimize glazing area and its distribution to balance natural light and thermal efficiency.\n", + "3. Enhance roof area design to minimize heat loss in cold climates.\n", + "4. Consider relative compactness to reduce surface area exposure to the external environment.**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d249873-378d-4767-9e24-e67634887a70", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "70f496fc-476c-48a8-a5a1-318f06621e1e", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/IITK/Assignments/Assignment 2/JaiGaikwad_230407_IITK_2.pdf b/IITK/Assignments/Assignment 2/JaiGaikwad_230407_IITK_2.pdf new file mode 100644 index 00000000..22e1c74e Binary files /dev/null and b/IITK/Assignments/Assignment 2/JaiGaikwad_230407_IITK_2.pdf differ diff --git a/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/data_melbourne.csv b/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/data_melbourne.csv new file mode 100644 index 00000000..0b85fe2d --- /dev/null +++ b/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/data_melbourne.csv @@ -0,0 +1,1383 @@ +,Average Outflow,Average Inflow,Energy Consumption,Ammonia,Biological Oxygen Demand,Chemical Oxygen Demand,Total Nitrogen,Average Temperature,Maximum temperature,Minimum temperature,Atmospheric pressure,Average humidity,Total rainfall,Average visibility,Average wind speed,Maximum wind speed,Year,Month,Day +0,2.941,2.589,175856,27,365,730,60.378,19.3,25.1,12.6,0,56,1.52,10,26.9,53.5,2014,1,1 +1,2.936,2.961,181624,25,370,740,60.026,17.1,23.6,12.3,0,63,0,10,14.4,27.8,2014,1,2 +2,2.928,3.225,202016,42,418,836,64.522,16.8,27.2,8.8,0,47,0.25,10,31.9,61.1,2014,1,5 +3,2.928,3.354,207547,36,430,850,63,14.6,19.9,11.1,0,49,0,10,27,38.9,2014,1,6 +4,2.917,3.794,202824,46,508,1016,65.59,13.4,19.1,8,0,65,0,10,20.6,35.2,2014,1,7 +5,2.912,3.75,247691,40,410,820,61.786,18.9,27.3,7.7,0,52,0,0,15.6,31.7,2014,1,8 +6,2.355,3.507,224706,51,555,1110,68.82,25.9,32.4,12.1,0,39,0,0,26.7,46.5,2014,1,9 +7,2.366,3.188,212440,41,365,730,62.218,17.7,24.6,13,0,69,0,9.8,13.1,25.9,2014,1,12 +8,3.923,3.378,202676,26,355,710,61.433,26.4,36,12.7,0,44,0,0,19.8,51.9,2014,1,13 +9,3.912,3.425,202411,42,530,830,66.354,35.5,43.5,28.5,0,20,0,0,27.8,57.6,2014,1,14 +10,2.971,3.775,171123,47,435,870,65.531,32.1,42.9,23.7,0,29,0,0,18,35.2,2014,1,15 +11,3.833,3.763,193509,43,295,590,59.548,33.9,43.1,23.7,0,24,0,0,19.3,46.5,2014,1,16 +12,2.984,3.487,205761,38,600,1200,68.82,19.2,23.1,15.2,0,64,0,10,24.8,31.7,2014,1,19 +13,3.236,3.604,184108,38,465,930,64.568,18.4,24.7,15.8,0,66,0,10,25.6,35.2,2014,1,20 +14,2.95,3.6,200044,38,505.5,1011,65.59,17.6,22.6,14,0,61,0,10,25,37,2014,1,21 +15,2.935,3.481,173825,47,470,980,76,16.3,23.4,10,0,59,0,0,17.4,29.4,2014,1,22 +16,2.937,3.623,230632,39,431,862,64.847,23.6,33.7,10.2,0,52,1.52,8.5,14.8,27.8,2014,1,23 +17,3.308,3.785,236472,45,380,760,62.09,16.3,22.8,12.8,0,72,4.32,10,21.9,31.7,2014,1,24 +18,2.933,3.596,214057,36,345,690,63.227,29.3,35.5,16.7,0,26,0,0,32.6,48.2,2014,1,27 +19,2.94,3.642,204062,29,286.5,573,54.63,27.2,42.1,17.6,0,34,0,10,25.7,51.9,2014,1,28 +20,3.427,3.519,245524,31,360,720,61.496,17.7,23.7,13,0,64,0,10,20.2,33.5,2014,1,29 +21,2.98,3.541,230113,38,380,840,65.374,22.6,31.1,12.9,0,55,0,8,13.3,22.2,2014,1,30 +22,2.997,3.526,214635,43,344,688,63.521,31.7,40.5,23,0,23,0,0,15.6,33.5,2014,2,2 +23,2.978,3.542,210017,44,390.5,781,62.569,19.2,0,13.8,0,56,0.51,10,29.6,38.9,2014,2,3 +24,2.983,3.332,201393,35,391.5,783,62.218,17.7,25,10.8,0,54,0,10,25.7,44.6,2014,2,4 +25,2.989,3.249,201578,48,270,740,55,22.5,30.9,10.6,0,42,0,0,20,51.9,2014,2,5 +26,2.991,3.408,190528,46,385,770,63.38,28.7,35.3,14.2,0,27,0,0,29.8,51.9,2014,2,6 +27,2.989,3.498,177913,41,377.5,755,62.371,21.8,0,13,0,36,0,10,25.4,57.6,2014,2,9 +28,2.967,3.488,174894,34,435.5,871,64.366,17.6,23.7,12,0,61,0,9.7,20.6,31.7,2014,2,10 +29,2.965,3.448,196915,36,320,871,64.301,20.1,27.3,11.9,0,68,0,6.4,14.8,20.6,2014,2,11 +30,3.625,3.426,164381,35,420.5,841,64.301,22.1,28.1,14.9,0,69,0,7.7,13.9,24.1,2014,2,12 +31,2.991,3.456,231265,37,416.5,833,64.366,22.6,26.4,17.7,0,62,0,8.2,8.1,16.5,2014,2,13 +32,2.995,3.611,178585,37,357.5,715,61.825,17.1,23,12.7,0,68,0.25,10,19.8,35.2,2014,2,16 +33,3.356,3.601,203040,33,330,828,58,18.1,25.7,11.8,0,60,0,10,12.6,25.9,2014,2,17 +34,2.97,3.703,212571,37,453.5,907,65.42,21.6,31.9,11.5,0,57,0,10,15.4,27.8,2014,2,18 +35,3.812,3.585,211797,37,405.5,811,62.023,15.7,25.7,10,0,65,7.37,9.2,22.8,51.9,2014,2,19 +36,3.092,3.561,217368,30,404.5,809,62.218,14.9,20.2,10,0,55,0,10,27.4,44.6,2014,2,20 +37,3.129,3.519,186966,30,280,949,64.366,17.4,24.6,12.8,0,67,0,10,11.3,22.2,2014,2,23 +38,2.721,3.39,233170,37,421.5,843,64.522,19.2,30,12.5,0,62,0,0,17,42.4,2014,2,24 +39,2.994,3.478,240026,37,472,944,65.878,21.1,36.4,12,0,50,0,10,20.4,38.9,2014,2,25 +40,2.977,3.564,221132,44,489.5,979,65.59,15.5,21.5,10,0,61,0,9.7,20,35.2,2014,2,26 +41,3.146,3.67,189753,41,434.5,869,64.522,15.2,21.3,9.6,0,59,0,10,23.3,35.2,2014,2,27 +42,3.17,3.563,248635,42,351,702,62.16,17,23,12,0,67,0,10,15,27.8,2014,3,2 +43,3.177,3.569,226624,37,320,870,66,19.8,27,11.8,0,65,0,10,16.1,42.4,2014,3,3 +44,3.175,3.441,208340,34,437,874,65.531,26.7,34.1,13.5,0,42,0,10,24.8,38.9,2014,3,4 +45,3.182,3.505,217462,33,400.5,801,61.866,16.1,25.9,13.6,0,63,0,10,21.9,27.8,2014,3,5 +46,3.595,3.521,232162,39,477.5,955,65.59,15.7,21,11.7,0,61,0,10,17.4,25.9,2014,3,6 +47,3.044,3.571,213487,39,434,868,64.301,18.1,22.7,11.6,0,74,0,10,17,31.7,2014,3,7 +48,3.033,3.448,227709,39,410,820,63.578,24.5,35.2,17.7,0,37,0,0,17,38.9,2014,3,10 +49,3.156,3.599,249208,48,360,840,65.531,21.5,32.1,14,0,60,3.3,10,17,35.2,2014,3,11 +50,3.155,3.349,228459,44,465,930,64.411,15.6,21.3,9.7,0,59,0,10,16.3,29.4,2014,3,12 +51,3.145,3.31,230038,41,405,810,62.218,17.2,23.7,9.6,0,66,0,10,13,25.9,2014,3,13 +52,3.158,3.499,199081,42,355,710,62.371,15.7,20,10.8,0,52,1.02,10,21,42.4,2014,3,16 +53,3.151,3.476,201565,36,375,750,61.825,18.3,25.3,11.6,0,65,0,10,18.5,35.2,2014,3,17 +54,3.157,3.402,239774,31,425,850,64.366,16.7,25.1,9.6,0,62,0,10,14.1,25.9,2014,3,18 +55,3.158,3.36,222446,35,530,930,65,15.6,23,9.2,0,66,0,10,15.4,29.4,2014,3,19 +56,3.021,3.4,219441,35,457.5,915,65.577,23.1,31.1,9.2,0,28,0,0,22.6,37,2014,3,20 +57,2.482,3.451,230837,40,485,970,65.59,13.2,16.8,9,0,66,0,9.8,13.5,27.8,2014,3,23 +58,3.063,3.426,236305,32,422.5,845,64.301,14.7,18.3,8.9,0,76,1.02,10,15,25.9,2014,3,24 +59,3.077,3.427,233045,30,462.5,925,64.411,18.3,24.3,11.9,0,66,0,10,11.7,22.2,2014,3,25 +60,2.735,3.444,244547,46,422.5,845,64.301,20.3,27.3,12.5,0,70,5.59,8.9,11.9,27.8,2014,3,26 +61,2.972,3.431,233574,34,450,855,64.411,19.6,25.9,15.9,0,84,7.87,8.9,12.6,29.4,2014,3,27 +62,2.997,3.516,246220,41,415,830,64.412,20.2,26.6,14,0,69,0,10,15.2,38.9,2014,3,30 +63,3.003,3.568,267399,35,420,840,65.486,25.2,32,15.4,0,43,0,0,23.5,42.4,2014,3,31 +64,3.004,3.652,289188,41,472.5,945,66.354,26.9,33.7,5.5,0,38,0,0,34.6,46.5,2014,4,1 +65,2.936,3.444,241800,37,380,920,64,16.9,26,13,0,80,0,9.3,16.7,37,2014,4,2 +66,2.97,3.416,257357,37,457.5,915,64.366,15.1,17.3,13.3,0,70,0.25,10,22.2,31.7,2014,4,3 +67,2.97,3.191,254817,40,405,810,62.374,16.4,23.2,11,0,77,0,10,13.1,35.2,2014,4,6 +68,2.993,3.592,265212,36,390,780,62.218,19.9,25.2,10.8,0,53,0,0,21.7,38.9,2014,4,7 +69,3.008,3.432,264549,37,220,835,64.412,17.3,21,15.6,0,86,16.26,8.7,14.8,42.4,2014,4,8 +70,2.905,3.38,310372,32,365,730,61.24,16.4,17.5,16,0,97,18.03,6.3,10.9,18.3,2014,4,9 +71,3.009,3.468,330334,24,323,646,59.603,17.1,18.2,16,0,96,10.41,51.1,14.6,33.5,2014,4,10 +72,3,3.432,288220,34,335,670,61.866,14.1,20.4,8,0,76,0,10,14.6,27.8,2014,4,13 +73,4.799,5.071,300570,44,340,744,56,14.3,20.3,8.1,0,69,0,10,16.9,27.8,2014,4,14 +74,3.041,3.621,272809,42,357.5,715,62.218,14,19.5,8,0,77,0.25,9.8,14.8,25.9,2014,4,15 +75,3.615,3.494,295544,28,345,690,59.446,14.9,22.6,8.9,0,73,0,0,11.5,20.6,2014,4,16 +76,3.042,3.495,214921,34,371,742,62.023,12.4,18.9,9,0,72,1.52,10,18.9,35.2,2014,4,18 +77,3.618,3.483,244534,33,310,740,62.218,15.9,19,10.9,0,48,1.52,0,44.4,59.4,2014,4,21 +78,3.012,3.492,241273,31,340,680,62.023,13.3,17.3,9.5,0,87,3.05,9.7,11.7,37,2014,4,22 +79,3.004,3.417,226195,35,365,730,62.061,14.9,18.8,8.7,0,56,0.51,9.8,15,29.4,2014,4,23 +80,3.016,3.575,197036,38,370,740,61.186,15.7,20.1,3.5,0,47,0,0,25.9,37,2014,4,25 +81,2.996,3.411,200407,42,340,690,60,10.8,16.1,4.8,0,61,0,10,17.6,35.2,2014,4,27 +82,3.27,3.401,221851,36,415,830,63.689,18.8,21,4.2,0,60,0,10,43,57.6,2014,4,28 +83,2.977,3.376,254684,42,407,814,62.246,12.8,20,8.6,0,87,7.87,9.5,17.2,37,2014,4,29 +84,3.109,3.39,210285,27,302.5,605,53.59,9.5,16,4.7,0,72,0,10.9,18.5,40.7,2014,4,30 +85,3.109,3.367,271464,29,400,800,61.384,11.8,16,4.5,0,57,0,10,20.6,37,2014,5,1 +86,3.118,3.322,201502,32,357,714,61.825,10.4,14,7,0,79,1.02,9.8,20.4,35.2,2014,5,4 +87,3.117,3.537,260493,43,260,720,62.16,12.1,16.3,8.3,0,75,0.25,10,15.6,25.9,2014,5,5 +88,3.123,3.478,284909,37,380,760,61.339,10.8,14,8.7,0,78,0.51,10,15.6,24.1,2014,5,6 +89,3.138,3.339,305726,41,385,770,60.757,8.1,14.5,3,0,73,0.25,10,14.1,25.9,2014,5,7 +90,3.217,3.37,285409,46,370,740,61.051,11,17.5,2.3,0,58,0,0,14.3,31.7,2014,5,8 +91,3.124,3.393,242891,43,380,760,62.218,12.2,19,7,0,80,0.51,10,12.4,18.3,2014,5,11 +92,3.109,3.435,244843,32,435,870,63.467,12.1,18.5,6,0,76,0,10,10.7,22.2,2014,5,12 +93,3.909,4.357,261172,36,210,760,57,13.5,20.4,5.2,0,72,0,10,14.6,25.9,2014,5,13 +94,3.162,3.565,269218,40,392.5,785,61.748,16.3,21,7.4,0,62,0,10,30.9,46.5,2014,5,14 +95,3.156,3.48,300138,34,450,900,63.995,17.2,21.6,13.1,0,56,0,0,36.5,46.5,2014,5,15 +96,3.16,3.926,294444,31,367.5,735,61.396,17.1,21.2,15,0,61,0,0,32.6,40.7,2014,5,18 +97,2.971,3.575,299317,34,395,790,61.396,17.2,23,12,0,66,0,0,29.1,42.4,2014,5,19 +98,2.969,3.621,295754,35,440,880,63.728,14.5,22.1,9,0,76,0,10,15.6,31.7,2014,5,20 +99,3.512,3.475,288762,30,390,816,62.023,17.9,23.4,8.6,0,65,0,10,27.4,44.6,2014,5,21 +100,2.806,3.325,304978,33,408,816,61.496,17.8,21,14.6,0,65,3.3,9.8,22.2,40.7,2014,5,22 +101,2.771,3.098,277934,42,355,710,61.719,15.1,19.5,8.8,0,83,0,10,22.4,44.6,2014,5,25 +102,2.733,3.049,271449,30,400,800,61.496,17.9,19.4,8.6,0,68,0,10,30.7,46.5,2014,5,26 +103,2.996,3.363,269010,26,420,840,64.256,14.8,20,10.5,0,72,0.51,10,20.4,27.8,2014,5,27 +104,3.003,3.424,255480,37,392.5,785,61.866,12.2,18.3,7,0,79,0.25,10,15.6,27.8,2014,5,28 +105,3.02,3.371,259464,38,430,815,61,9.9,15,4.6,0,78,0,10,8.1,16.5,2014,5,29 +106,2.996,3.427,244163,31,355,710,61.866,12,14.3,8.7,0,94,5.33,82,5.9,16.5,2014,6,1 +107,3.012,3.431,263614,36,392.5,785,61.339,13.1,15,8.1,0,91,2.29,7.9,13.1,25.9,2014,6,2 +108,3.015,3.502,261779,31,387.5,775,62.061,12.8,16.3,8,0,52,0,0,11,21.8,2014,6,3 +109,3,3.52,194840,38,370,667,61.863,12.9,18,8.2,0,54,3.3,51.3,12,25.9,2014,6,4 +110,3.025,3.569,284030,49,383,766,61.786,9.9,14.9,7,0,56,0,0,7.4,18.3,2014,6,5 +111,3.028,2.807,299010,41,370,740,60.952,11.4,15,5.9,0,56,0.25,0,9.8,20.6,2014,6,6 +112,3.03,4.139,244693,34,350,700,61.228,10.2,14.2,3,0,54,0,51.5,10.9,22.2,2014,6,9 +113,3.186,3.472,239908,42,540,785,60,11.1,18.1,6.3,0,74,0,0,17.8,25.9,2014,6,10 +114,3.001,3.386,269410,43,450,900,63.052,12.4,16.2,6.4,0,74,0,0,25.2,42.4,2014,6,11 +115,3.558,3.726,280648,39,435,870,63.775,12.7,15,9.5,0,75,3.3,10.3,24.1,42.4,2014,6,12 +116,2.975,3.593,250741,35,330,660,61.866,10.9,14.3,7.6,0,79,0.51,0,18,21.8,2014,6,15 +117,3.751,4.333,256136,42,250,711,62.355,11.2,16,8.3,0,52,1.52,51.8,19.4,29.4,2014,6,16 +118,4.515,4.521,260096,34,382,764,61.866,11.6,15.1,8.7,0,76,0,0,11.3,20.6,2014,6,17 +119,3.341,3.605,273464,33,346.5,693,60.662,9.8,13.1,6,0,71,0,10.6,12.6,38.9,2014,6,18 +120,3.014,3.543,270896,35,368.5,737,61.384,10.1,11,5.4,0,52,0,0,31.1,44.6,2014,6,19 +121,3.219,3.42,262206,38,330,750,58,12.4,14.5,7.7,0,75,0,0,35.9,68.3,2014,6,22 +122,3.167,3.689,299892,32,310,620,58.036,8.7,14.6,4.9,0,72,2.79,51.8,26.3,53.5,2014,6,23 +123,3.011,3.553,297802,24,308,616,56.8,10.6,13.6,4.1,0,70,0,0,32.8,74.1,2014,6,24 +124,3.122,3.386,303524,42,568.5,1137,68.183,12.7,15.3,7.7,0,66,0.25,0,29.1,44.6,2014,6,25 +125,2.96,3.306,316848,43,360,720,60.786,11.8,15,6.7,0,66,0,0,27.4,51.9,2014,6,26 +126,3.012,3.586,274982,39,367.5,735,60.981,7.5,11.7,5,0,52,5.59,512,22.8,35.2,2014,6,29 +127,3.228,3.386,281415,33,360,774,60.758,9.7,12.3,4.8,0,50,0.51,51.8,19.8,33.5,2014,6,30 +128,3.018,3.319,291995,44,347.5,695,61.533,11.1,12,7.4,0,75,0,10,16.9,25.9,2014,7,1 +129,3.413,3.606,260039,40,367.5,735,61.541,10.6,15.8,5.5,0,68,0,10,20.4,42.4,2014,7,2 +130,3.015,3.529,274374,39,380.5,761,61.541,8.7,12,5.4,0,82,0,10,35.9,53.5,2014,7,3 +131,3.014,3.424,277587,35,290,580,55.946,9.2,13.2,3.9,0,86,0.25,10.9,16.7,31.7,2014,7,6 +132,3.029,3.283,275868,36,367,734,60.662,10.4,15.3,3.1,0,74,0,10,33,50,2014,7,7 +133,2.715,3.306,279933,33,410,737,50,10.9,13.6,7.9,0,67,0,10,43.5,68.3,2014,7,8 +134,3.275,3.309,311573,37,255,510,57.99,7.7,12.2,4.8,0,84,8.13,9.5,18.3,40.7,2014,7,9 +135,3.011,3.331,305095,49,250,500,58.526,8.9,13.5,4.2,0,80,0,10,26.1,38.9,2014,7,10 +136,3.01,3.525,286865,39,277,554,58.616,11.1,13,3.2,0,67,0,10,17.2,22.2,2014,7,13 +137,3.016,3.389,312907,40,307.5,615,58.617,9.2,12.4,6.6,0,72,0,10,16.5,37,2014,7,14 +138,3.333,3.403,307497,39,300,600,58.616,10,11.6,6.8,0,78,0.51,10,22.6,38.9,2014,7,15 +139,3.021,3.377,256799,31,250,586,54.63,10.4,13.8,7,0,73,0,10,27,38.9,2014,7,16 +140,3.012,3.403,219150,38,337.5,675,60.991,7.2,11.8,4.5,0,70,3.81,10,27.2,57.6,2014,7,17 +141,3.015,3.343,273029,37,372.5,745,61.033,7.6,12.8,4,0,87,0,10,8.3,18.3,2014,7,20 +142,3.009,3.345,342539,31,382.5,765,60.406,7.3,13.4,3,0,86,0.25,6.9,8.9,14.8,2014,7,21 +143,3.278,3.571,354523,40,370,740,60.629,5,10.1,0,0,97,0,4.7,7.8,14.8,2014,7,22 +144,3.013,3.46,352130,40,420,840,62.257,8.6,12.4,-0.4,0,78,0,0,16.5,29.4,2014,7,23 +145,2.988,3.535,339981,39,430,920,46,11.3,14,4.3,0,76,0,10,24.4,35.2,2014,7,24 +146,3.003,3.438,366871,35,306.5,613,56.089,11.3,16.4,5.4,0,71,0,10,29.4,50,2014,7,27 +147,3.17,3.44,315535,33,325,650,61.396,12.2,16.2,7.5,0,67,0.25,10,32.8,46.5,2014,7,28 +148,3.326,3.484,292272,31,341.5,683,61.396,13.8,16,9.1,0,71,0,10,29.1,48.2,2014,7,29 +149,3.03,3.431,300308,36,350,779,61.396,14.8,18,10.2,0,63,0,10,30.6,55.4,2014,7,30 +150,3.264,3.492,315762,29,373,746,60.563,9.1,18.6,4,0,62,6.1,9.2,33.3,53.5,2014,7,31 +151,3.053,3.467,230599,35,279,558,55.946,6.6,13.8,0,0,57,0,10,18.5,25.9,2014,8,3 +152,1.606,3.28,322902,36,369,738,60.601,8.8,14.1,1.4,0,55,0,9.7,16.1,25.9,2014,8,4 +153,3.354,3.175,323313,37,340,706,57,12.3,15.8,4.5,0,62,0,10,13.5,24.1,2014,8,5 +154,3.097,3.613,319754,39,344.5,689,61.533,10.2,15.3,7.6,0,78,0.51,9.7,14.3,22.2,2014,8,6 +155,3.049,3.486,325743,34,352.5,705,61.24,10.8,12.8,10,0,83,0.51,1.5,13,22.2,2014,8,7 +156,3.048,3.347,285829,33,368.5,737,60.662,10.2,15.3,6.7,0,62,0,10,21.5,40.7,2014,8,8 +157,3.219,3.416,306656,37,336.5,673,60.563,6.4,12.3,3.8,0,79,5.33,10,18.9,40.7,2014,8,10 +158,3.025,3.326,326631,30,310,631,59.849,6.6,11.1,3.1,0,79,0,10,11.9,27.8,2014,8,11 +159,3.371,4.007,362228,27,390,780,58.612,8.2,11.5,3.3,0,85,0,10,10.7,22.2,2014,8,12 +160,3.737,4.389,346222,25,309,618,56.764,10,13.5,6.4,0,80,0.51,9.8,10.2,24.1,2014,8,13 +161,4.558,4.834,219950,25,311,622,56.892,7.3,14.5,2.5,0,78,0,10,10.6,18.3,2014,8,14 +162,3.576,4.076,330714,32,240,734,55,10.9,14,7.3,0,75,0,10,22.6,33.5,2014,8,17 +163,3.399,3.648,349739,36,424,848,63.091,10.3,12.7,8.2,0,88,3.81,9.7,18,27.8,2014,8,18 +164,3.352,3.577,323562,24,355,710,59.446,9.9,12,8,0,70,0,10,14.8,24.1,2014,8,19 +165,3.32,3.687,318822,25,478.5,957,63.643,9.5,12.4,5.8,0,75,0,10,11.1,18.3,2014,8,20 +166,3.025,3.53,341913,22,385,770,58.612,10.8,17,5.5,0,73,0,10,17.6,27.8,2014,8,21 +167,3.052,3.261,341476,30,320,640,60.682,11.7,15.5,7.7,0,70,0.51,10,16.5,25.9,2014,8,24 +168,3.048,3.574,333601,25,280,661,59.446,10.6,15.1,7.8,0,91,2.79,6.9,12.6,24.1,2014,8,25 +169,3.041,3.455,305988,35,342.5,685,60.406,10.9,17.7,5,0,80,0.25,10,10.4,22.2,2014,8,26 +170,3.207,3.443,304984,31,509.5,1019,63.643,10.1,19,2.7,0,76,0,8,8,18.3,2014,8,27 +171,3.21,3.552,253707,38,400,800,61.033,11.3,20.3,2.3,0,70,0,5.5,7.2,18.3,2014,8,28 +172,3.061,3.472,316189,33,335,670,61.591,16.2,21,9.9,0,49,0,0,37,51.9,2014,8,31 +173,3.068,3.357,296212,22,387.5,775,59.446,9.7,15.9,7,0,84,8.89,9.7,16.5,27.8,2014,9,1 +174,3.204,3.422,298283,42,400,680,56,8.6,13.8,4.9,0,76,1.52,10,20.9,38.9,2014,9,2 +175,3.09,3.419,293375,36,343.5,687,60.505,7.7,13.1,2,0,74,0,10,11.7,22.2,2014,9,3 +176,3.05,3.528,281730,36,412.5,825,61.033,9.1,14.6,1.7,0,78,0,10,11.7,22.2,2014,9,4 +177,3.319,3.396,294510,35,345,690,60.857,13.6,19.8,4.7,0,56,0,10,22.6,50,2014,9,7 +178,3.16,3.551,235658,42,452.5,905,63.931,17.2,21.2,8.2,0,50,0,10,46.9,64.8,2014,9,8 +179,3.152,3.496,281629,35,625,1250,68.183,12.9,19.6,8,0,79,12.95,9.7,22.4,59.4,2014,9,9 +180,3.149,3.664,240832,32,380,955,63.885,14.4,18,7.4,0,57,3.81,9.3,24.3,33.5,2014,9,10 +181,3.251,3.537,282142,37,475,950,63.643,9.3,15.4,4,0,68,0,10,19.8,38.9,2014,9,11 +182,3.256,3.828,264255,27,330,660,58.711,8.3,14.1,2.9,0,74,0,10,9.1,16.5,2014,9,14 +183,3.604,4.176,287358,34,425,850,62.257,13.3,18.1,6.4,0,79,0,9.2,14.1,24.1,2014,9,15 +184,3.908,4.724,295183,30,410,820,61.24,10.4,14,6.9,0,82,2.03,9.2,17,31.7,2014,9,16 +185,4.202,4.355,322165,37,360,940,62.479,16.5,26,6.6,0,62,1.52,10,28.9,57.6,2014,10,6 +186,3.768,4.26,331715,33,382.5,765,60.563,11.3,16.9,6.7,0,64,0.25,10,20,38.9,2014,10,7 +187,3.459,3.998,310535,38,386.5,773,60.406,12.8,19.8,6.5,0,70,0.25,10,13.5,24.1,2014,10,8 +188,3.897,3.674,299576,31,387.5,775,61.591,17.3,23.5,7.4,0,48,0,0,21.1,44.6,2014,10,9 +189,3.003,3.686,257216,39,370,681,61,16.5,31.3,6.9,0,55,2.03,10.3,21.3,35.2,2014,10,12 +190,3.179,3.769,266428,39,375,750,61.748,10.2,15.6,7.6,0,67,7.11,10,28,44.6,2014,10,13 +191,3.271,3.605,263099,34,325,650,60.662,9.6,15.6,4.6,0,61,0,10,22,42.4,2014,10,14 +192,3.322,3.992,252674,25,350,700,59.239,11.4,15.7,4.3,0,64,0,10,15.4,27.8,2014,10,15 +193,3.331,3.759,237415,25,348.5,697,60.073,11.3,15.9,7,0,71,1.27,9.8,15.7,27.8,2014,10,16 +194,3.591,4.062,244135,42,355,710,62.569,15.8,28.2,9,0,55,0,10,28.9,48.2,2014,10,19 +195,3.728,3.533,242707,41,280,995,63.052,12.7,21,5.5,0,59,0,0,19.1,33.5,2014,10,20 +196,3.093,4.072,259769,51,414.5,829,63.006,21,27.6,5,0,48,0,0,27.6,57.6,2014,10,21 +197,3.531,3.915,245832,52,422.5,845,64.849,20.8,31.3,13.7,0,56,0,8.2,22.8,46.5,2014,10,22 +198,3.483,3.595,248445,48,370,740,62.246,16.1,26,13,0,81,0,9,13.1,33.5,2014,10,23 +199,3.357,3.661,283443,29,407.5,815,61.69,19.2,25.2,11.5,0,52,16.51,9.5,21.5,42.4,2014,10,26 +200,3.33,3.583,305252,24,310,620,57.281,13.1,25.2,8,0,55,0.76,10,26.1,50,2014,10,27 +201,3.267,3.59,287551,34,360,735,64,13.6,20,8,0,62,0.51,10.9,21.1,38.9,2014,10,28 +202,3.039,3.516,169942,40,421,842,63.729,15.6,23,7.7,0,64,0,10,10.7,27.8,2014,10,29 +203,3.939,4.498,263759,41,412.5,825,61.891,14.7,24,8,0,65,0,10,14.4,29.4,2014,10,30 +204,4.378,4.414,272029,38,327.5,655,61.033,11.2,17,6.7,0,65,0,10,15.7,31.7,2014,11,2 +205,3.455,3.638,272830,26,305,610,53.636,18.4,29.3,10.4,0,37,0,10,28.9,42.4,2014,11,4 +206,3.398,3.709,245850,32,260,655,61.339,12.3,18.2,7,0,60,0,10,19.1,31.7,2014,11,5 +207,3.057,3.809,283417,48,370,740,62.412,16.1,27,7.3,0,50,0,10,14.8,31.7,2014,11,6 +208,3.43,3.639,221996,39,370,740,62.218,13.9,19.9,8,0,61,0,10,18.9,29.4,2014,11,9 +209,3.313,3.472,257268,28,350,700,60.424,14.3,20.5,8.3,0,57,0,10,23,35.2,2014,11,10 +210,3.115,3.475,277460,28,365,730,58.612,12,18.3,5.9,0,63,0,10,15.4,27.8,2014,11,11 +211,3.752,4.458,241697,26,455,910,62.941,16.9,27.4,5,0,53,0,0,12.2,27.8,2014,11,12 +212,3.746,3.868,250057,40,350,715,54,27.2,33.4,18.9,0,20,0,0,20.2,37,2014,11,13 +213,3.438,3.814,265479,21,216,432,53.053,14.5,20.2,10.1,0,62,0.51,10,20.9,35.2,2014,11,16 +214,3.4,3.75,224226,37,335,670,62.023,14.1,21.2,8,0,59,0.25,10,18.3,37,2014,11,17 +215,2.529,3.749,250850,41,412.5,825,62.218,15.1,20.2,7.3,0,63,0,10,14.3,25.9,2014,11,18 +216,3.542,3.938,249239,48,430,840,63.885,23.5,29,9.6,0,26,0,0,26.3,59.4,2014,11,19 +217,3.827,4.17,266688,44,350,700,63.521,20.9,31.2,15,0,55,0,10,23.3,44.6,2014,11,20 +218,3.62,3.992,116638,34,267.5,535,55.506,18.2,25.7,12,0,64,0,10,15.4,46.5,2014,11,23 +219,3.994,4.05,254734,33,360,720,62.023,13.7,22.8,8.6,0,80,4.57,10,19.4,42.4,2014,11,24 +220,3.846,3.889,261025,35,360,600,54,14.7,21.6,8.5,0,55,0,10,18.5,29.4,2014,11,25 +221,3.216,3.628,269985,37,380,760,61.866,14.1,18,8.5,0,64,0,9.7,16.9,27.8,2014,11,26 +222,3.366,3.788,278556,25,415,830,63.155,14,18.8,10,0,67,0,10,15.4,29.4,2014,11,27 +223,3.644,3.852,270675,41,347,694,62.865,28.1,35,14.2,0,37,0,10,29.6,64.8,2014,11,30 +224,3.424,3.745,263073,34,320,640,60.938,19.7,28.7,15,0,72,0.51,10,14.4,33.5,2014,12,1 +225,3.489,3.759,254788,40,755,1510,68.183,19.1,27.2,14.7,0,68,0,10,14.6,29.4,2014,12,2 +226,3.485,3.763,258868,50,472.5,945,64.477,18.6,23.2,15.2,0,84,10.92,8.4,15.2,29.4,2014,12,3 +227,2.878,3.744,283142,42,290,775,61.533,20.5,26,16,0,74,0.25,9.8,17.8,25.9,2014,12,4 +228,3.799,4.033,270596,22,380.5,761,59.446,15.2,17.3,13.2,0,88,0.76,9,15.6,27.8,2014,12,7 +229,3.506,3.52,226507,28,340,680,59.545,16.2,20.1,13.9,0,72,0,10,17.2,25.9,2014,12,8 +230,2.74,2.854,262896,30,420,840,63.136,15.5,21.5,10.9,1015.7,71,0,16.3,11.6,20.6,2014,12,9 +231,3.779,4.215,249125,30,290,760,69,17.1,20.3,10.7,0,50,0.51,9.8,19.4,31.7,2014,12,10 +232,3.861,4.326,271225,36,442.5,885,63.886,16.6,20.7,13.8,0,76,0.25,10,23.2,40.7,2014,12,11 +233,3.747,3.932,203326,35,385,770,61.668,18.8,26.9,14,0,66,0,10,15.4,29.4,2014,12,14 +234,3.688,3.939,235077,34,380,760,61.866,18.6,25.1,13.5,0,74,0,9,13.1,24.1,2014,12,15 +235,3.238,3.635,270652,34,420,1130,67.315,18.4,33.6,8.7,0,35,0,10,28.3,64.8,2014,12,16 +236,3.429,4.027,247302,34,533.5,1067,64.953,15.9,23,8.5,0,48,0,0,16.1,29.4,2014,12,17 +237,4.893,5.121,229587,30,460,920,63.931,15,24.4,9,0,61,1.78,9.8,21.7,61.1,2014,12,18 +238,3.598,4.028,271184,34,290,755,60,23.2,33.3,10.6,0,47,0,9.8,14.3,35.2,2014,12,21 +239,3.418,3.735,266258,34,405,810,61.24,22.7,26,15.8,0,67,0.51,10,9.4,22.2,2014,12,22 +240,3.257,3.552,257576,25,415,830,63.201,17.9,28.7,10,0,67,0,9.8,18.5,31.7,2014,12,23 +241,3.269,4.05,246012,30,345,690,62.061,14.1,19.9,7.9,0,57,0,10,17.2,31.7,2014,12,26 +242,3.06,3.744,222378,34,370,680,63.227,24.1,33.4,10.7,0,32,0,0,16.7,35.2,2014,12,28 +243,3.848,3.984,186601,34,415,830,63.885,16.6,28.6,10.6,0,48,1.02,10,27.8,53.5,2014,12,29 +244,3.492,3.835,200055,41,405,810,62.243,15.9,24.2,8,0,52,0,10,21.9,44.6,2014,12,30 +245,3.499,3.793,219828,42,470,940,66.354,19.4,32,10.8,0,63,0,10,14.3,35.2,2015,1,1 +246,3.546,4.045,214449,40,365,730,62.019,16.8,24.8,11,0,64,0,10,17.6,31.7,2015,1,4 +247,3.863,4.326,221233,39,360,900,70,18.7,24.6,11.3,0,65,0,10,16.3,25.9,2015,1,5 +248,4.137,4.487,271295,29,465,930,65.049,22.7,33,13.8,0,62,0,9.3,14.4,37,2015,1,6 +249,3.689,4.051,310031,38,482.5,965,65.878,29.2,40.3,16.3,0,43,1.52,10,20.9,50,2015,1,7 +250,1.795,3.704,259810,37,442.5,885,64.523,21.9,29.9,16,0,72,2.79,8,14.4,35.2,2015,1,8 +251,3.044,4.3,184752,32,375,750,61.668,20.5,28.1,14.8,0,69,0,10,17.6,31.7,2015,1,11 +252,2.809,4.459,185148,36,425,850,65.531,25.3,31.2,14.6,0,49,0,10,17.6,35.2,2015,1,12 +253,3.634,3.719,287118,40,350,865,63.885,21.1,25.5,17,0,78,11.18,10.6,24.8,46.5,2015,1,13 +254,3.026,3.651,292543,32,355,710,61.396,17.4,22.6,14,0,72,0,10,28.5,42.4,2015,1,14 +255,3.095,3.713,266493,39,405.5,811,61.591,15.1,20.5,9.6,0,71,0,10,17.2,29.4,2015,1,15 +256,3.035,3.402,203637,50,405,810,62.214,15.7,20.1,11.6,0,52,0,10,23.2,31.7,2015,1,18 +257,3.327,3.527,226385,40,395,790,62.569,17.2,24,10,0,55,0,0,21.5,42.4,2015,1,19 +258,3.213,2.713,251356,44,422,844,64.522,23.8,30.1,10.1,0,47,0,10,20,38.9,2015,1,20 +259,3.38,4.108,258384,50,320,945,68,24.9,33.7,17,0,50,0,8.4,16.9,35.2,2015,1,21 +260,4.411,5.017,236364,53,425.5,851,65.531,25.4,36,16.7,0,52,0,0,15.7,37,2015,1,22 +261,4.127,4.055,234543,49,450,900,64.523,20,29.6,11.9,0,58,0,9.8,18.1,35.2,2015,1,24 +262,4.035,4.2,236791,38,340,680,62.218,15.3,21.5,7.5,0,54,0,10,23.2,33.5,2015,1,26 +263,3.056,3.916,269257,39,360,720,61.814,15.9,20.5,11,0,58,0,10,25.2,35.2,2015,1,27 +264,4.1,5.32,268005,38,405,810,61.591,17.6,25.5,10.7,0,52,0,10,28,50,2015,1,28 +265,5.985,4.579,202419,43,290,875,64.522,16.4,22.8,10.4,0,57,0,10,25.6,42.4,2015,1,29 +266,2.146,3.882,184654,49,290,580,58.389,15.8,23,12,0,71,0.51,9.7,24.3,33.5,2015,1,31 +267,4.605,4.563,223394,40,346.5,693,62.317,15.7,19,12.2,0,74,1.52,10,24.6,33.5,2015,2,1 +268,4.75,6.509,210924,32,380,760,62.023,17.4,23.6,13.9,0,64,0,10,21.7,35.2,2015,2,2 +269,5.969,6.553,241560,31,397.5,795,62.061,17.2,22.7,13.7,0,58,0,10,22.8,31.7,2015,2,3 +270,5.969,6.302,247056,43,350,865,73,15.3,20.2,10.6,0,66,0.25,10,19.1,35.2,2015,2,4 +271,6.361,7.9,235506,42,452.5,905,64.366,19.1,28,10.1,0,63,0,10,15.9,27.8,2015,2,5 +272,4.879,4.666,246107,38,420,840,64.366,17.1,26.7,13,0,67,0,10,21.3,29.4,2015,2,8 +273,4.272,4.533,242358,35,383.5,767,61.866,19.9,28,12.7,0,64,0,10,15.9,27.8,2015,2,9 +274,3.71,4.105,224013,36,370,840,65.531,23.9,31.1,14.9,0,58,0,0,16.9,40.7,2015,2,10 +275,3.658,4.028,228766,36,425,850,65.531,22.1,35.4,15.9,0,61,0,10,22,38.9,2015,2,11 +276,4.355,4.672,252061,37,370,740,62.023,18.9,28,14,0,63,0,10,15.6,37,2015,2,12 +277,4.082,3.767,265724,38,407.5,815,61.339,20.1,26.9,14.7,0,79,0,10,12.4,27.8,2015,2,14 +278,3.082,3.859,264516,30,340,680,62.443,26.2,34.7,14.6,0,41,0,10,14.8,29.4,2015,2,15 +279,3.894,4.117,249175,38,350,890,74,19.5,28.8,15.6,0,64,0,10,21.3,31.7,2015,2,16 +280,3.758,3.917,251137,39,435,870,64.256,17.6,20.7,16,0,75,0,10,15.4,20.6,2015,2,17 +281,3.744,3.799,242665,42,455,910,64.411,18.7,21.6,15.8,0,78,0,10,15.9,24.1,2015,2,18 +282,3.037,3.801,234605,36,375,750,62.875,21.5,31,15,0,70,0,10,13,25.9,2015,2,19 +283,4.186,4.223,252788,39,350,610,58.754,27.8,37,19,0,42,0,10,24.1,48.2,2015,2,22 +284,3.418,3.737,256896,36,333.5,667,61.396,17.9,30,14.9,0,67,13.72,9.2,22.2,38.9,2015,2,23 +285,3.428,4.257,243380,33,395,790,62.023,16.7,20.5,13.7,0,64,0,10,18.3,33.5,2015,2,24 +286,3.729,4.16,209192,33,390,780,61.866,20.4,27.6,13.5,0,66,0,10,12.8,22.2,2015,2,25 +287,3.419,3.883,252085,50,550,1100,68.82,19,25.3,13.9,0,72,0,10,13.5,24.1,2015,2,26 +288,4.189,4.452,294669,36,335,670,61.396,15,21.6,9,0,70,0,10,18.3,33.5,2015,3,1 +289,4.18,4.032,305444,37,360,610,56,18.5,24.1,8.7,0,59,0,10,10.6,16.5,2015,3,2 +290,4.483,4.823,291851,40,395,790,61.591,17.3,23,13,0,67,0,10,12.4,22.2,2015,3,3 +291,3.9,4.039,291310,46,350,700,61.885,17.8,25,9,0,51,0.25,9.7,22.8,42.4,2015,3,4 +292,3.312,3.895,249632,41,415,830,64.522,15.4,20.3,9.2,0,49,0,10,25.7,38.9,2015,3,5 +293,3.465,3.716,251624,43,465,930,64.523,16.4,20.8,12,0,80,1.02,10,17.6,37,2015,3,6 +294,3.493,3.789,248311,39,330,660,62.317,18.1,24.4,12.2,0,60,0,10,15.6,33.5,2015,3,9 +295,3.521,3.787,290098,36,540,1260,68.82,16.1,23.3,10,0,61,0,10,12.8,24.1,2015,3,10 +296,3.519,3.61,277457,35,375,750,61.434,17.6,26.6,9.3,0,57,0,10,15,29.4,2015,3,11 +297,3.536,3.835,278587,39,365,730,61.942,15.9,20,10.2,0,52,0,9.8,25,35.2,2015,3,12 +298,2.961,3.605,294721,39,290,580,58.616,13.8,21,8.5,0,69,0,10,19.3,35.2,2015,3,15 +299,3.173,3.717,286156,36,360,720,61.591,21.3,24.2,7.7,0,40,0,0,20.4,40.7,2015,3,16 +300,3.599,3.532,268211,44,641,1282,68.82,21.4,27,14.7,0,48,1.27,9,29.1,53.5,2015,3,17 +301,2.934,3.992,209680,44,360,860,62,20.2,26,14.6,0,62,0,10,20.7,57.6,2015,3,18 +302,4.147,3.606,228052,42,415,830,65.531,19.8,33,10,0,52,0,10,28.9,61.1,2015,3,19 +303,3.561,4.495,267762,43,380,760,62.441,23.2,28,8.2,0,38,0,10,28,44.6,2015,3,22 +304,3.697,4.166,276968,44,440,880,64.477,18,27,11.9,0,58,0,10,23.9,40.7,2015,3,23 +305,3.47,3.516,254816,36,850,1700,68.82,13.4,15,10.7,0,56,0,10,19.8,31.7,2015,3,24 +306,2.946,3.578,288791,48,470,940,65.114,14,21,7,0,54,0,10,15.9,33.5,2015,3,25 +307,2.962,3.68,293262,37,540,1027,65.114,14.5,19,6.9,0,51,0,10,29.6,44.6,2015,3,26 +308,3.049,2.972,257723,43,380,760,61.451,16,24,6.6,0,58,0,0,13.1,24.1,2015,3,29 +309,3.696,4.259,260068,35,350,855,58,16.1,24,8.4,0,64,0,10,12,27.8,2015,3,30 +310,2.987,3.816,264152,34,420,970,64.477,19.8,27,9.2,0,50,0,0,18.1,44.6,2015,3,31 +311,3.751,3.804,261656,49,570,1140,68.82,21.5,30,10,0,42,0,10,28,44.6,2015,4,1 +312,3.266,3.687,199607,42,370,740,61.186,13.2,19,5.2,0,67,0,10,18.1,27.8,2015,4,3 +313,3.147,3.608,203120,38,410,820,62.061,16.4,18,7.2,0,40,0,0,10.4,20.6,2015,4,6 +314,2.698,3.47,235405,35,480,885,65.59,12.3,17,8.4,0,82,8.89,8.5,27,40.7,2015,4,7 +315,2.977,2.679,266782,26,432.5,865,62.94,12.5,17,6.6,0,76,0,10,16.3,31.7,2015,4,8 +316,3.418,4.126,263134,36,495,990,64.757,12.9,18.3,6.2,0,72,0,10,14.8,22.2,2015,4,9 +317,3.267,3.522,283802,38,310,620,59.316,11.5,18.3,5,0,73,0,10,13.1,27.8,2015,4,12 +318,3.231,3.635,290642,30,475,950,65.114,14.6,21,12,0,68,0,9.5,8.5,14.8,2015,4,13 +319,2.963,3.603,307803,37,442.5,885,63.995,19.3,25,16,0,56,0,10,24.6,38.9,2015,4,14 +320,2.972,3.445,328693,30,590,900,66,19.6,27,14,0,64,0,10,21.9,51.9,2015,4,15 +321,3.364,3.901,324639,37,480,960,65.114,13.3,18,8,0,70,0,10,11.1,25.9,2015,4,16 +322,3.018,4.054,226162,29,320,640,60.632,9.6,13,5,0,66,0,10,21.1,46.5,2015,4,19 +323,3.789,3.732,281335,43,480,960,64.28,10.1,15.3,5,0,65,0,10,19.3,35.2,2015,4,20 +324,3.418,3.37,349614,34,395,790,61.24,12,17,7,0,71,0,10,16.9,31.7,2015,4,21 +325,3.93,6.605,222194,29,342.5,685,61.866,14.8,18.1,11.5,0,82,0,10,19.8,31.7,2015,4,22 +326,5.774,9.622,299114,29,510,970,65.114,14.9,17,12,0,86,0,9.3,12,20.6,2015,4,23 +327,3.277,4.007,346056,26,387.5,775,59.603,11.3,15.2,9.9,0,78,0,9.7,22.2,33.5,2015,4,26 +328,4.23,3.846,309250,34,485,970,65.114,11.3,14.4,8,0,78,0,10,14.6,25.9,2015,4,27 +329,2.91,3.144,317141,35,367.5,735,60.406,10.5,15,5.8,0,82,0,10,12,25.9,2015,4,28 +330,4.702,5.906,259241,42,520,945,62,10.4,17,6,0,74,0,10,11.1,18.3,2015,4,29 +331,4.401,4.079,300014,42,460,920,63.004,11.9,19,5,0,69,0,10,11.7,22.2,2015,4,30 +332,3.844,4.465,322354,35,367.5,735,60.406,11.6,18,6.5,0,78,0,9.3,12.4,22.2,2015,5,3 +333,4.272,5.115,316828,33,370,740,61.591,17.2,22,11.8,0,49,0,9.3,36.9,55.4,2015,5,4 +334,4.468,4.126,278662,34,430,860,63.949,12.1,16,8,0,56,0,10,27,57.6,2015,5,5 +335,3.571,3.874,262781,49,460,920,64.523,10.9,16,8,0,68,0,9.7,23,40.7,2015,5,6 +336,3.659,3.822,275288,34,530,940,65.114,11.1,14.3,9,0,71,0,10,21.5,42.4,2015,5,7 +337,3.572,4.096,329601,35,305,610,56.089,12.9,15,10,0,73,0,9.7,28,44.6,2015,5,10 +338,3.535,3.935,307695,35,372.5,745,61.396,13.6,15.2,12,0,66,0,9.8,22,38.9,2015,5,11 +339,3.566,4.077,351864,33,380,760,60.563,9,16.2,5,0,69,0,9.8,29.1,51.9,2015,5,12 +340,3.434,4.018,361830,25,290,570,40,9.3,12,7,0,73,0,10,24.3,33.5,2015,5,13 +341,3.396,3.711,341750,30,325,650,61.24,12.2,15,10.5,0,85,0,8.2,21.7,31.7,2015,5,14 +342,4.316,5.744,374614,26,295,590,53.295,12.9,20,6,0,68,0,10,17.8,25.9,2015,5,17 +343,3.429,3.224,359322,33,337.5,675,61.591,14.9,19,11,0,54,0,0,25,46.5,2015,5,18 +344,4.392,4.919,263942,36,370,750,61.396,13.5,16,11,0,83,0,10,26.5,42.4,2015,5,19 +345,3.505,3.748,361360,34,380,760,61.396,11.9,18,8.8,0,81,0,8.4,21.9,33.5,2015,5,20 +346,3.882,4.158,368798,27,297.5,595,53.295,10.3,12,8,0,94,0,9,10.6,18.3,2015,5,21 +347,3.653,3.961,334780,33,382.5,765,60.406,10.3,17,6,0,71,0,0,14.8,24.1,2015,5,24 +348,3.244,3.697,361330,36,440,975,68,9.9,16,5,0,72,0,0,20.2,27.8,2015,5,25 +349,3.38,3.786,378301,31,410,820,61.396,12.3,15,9.5,0,65,0,0,27.4,44.6,2015,5,26 +350,3.558,3.979,324196,28,350,700,59.603,13.7,17,11.9,0,74,0,10,35.7,42.4,2015,5,27 +351,3.815,4.688,307174,31,368,736,60.563,13.4,19,6,0,64,0,10,22.8,35.2,2015,5,28 +352,3.865,3.716,246106,40,460,710,61.608,8.3,16,3,0,50,0,9.8,21.3,35.2,2015,5,31 +353,2.958,3.652,267978,34,320,640,59.948,7.2,10,5,0,78,0,10,18,27.8,2015,6,1 +354,3.699,3.979,266112,37,405,810,61.033,8.1,10,6,0,92,0,9.5,9.8,20.6,2015,6,2 +355,3.483,3.633,295506,38,365,730,60.563,7.6,11,4,0,77,0,10,13,37,2015,6,3 +356,2.989,3.54,303551,37,407.5,815,60.758,7.6,10,6.7,0,50,0,10,33.5,42.4,2015,6,4 +357,3.651,3.837,285824,31,395,790,61.866,10.7,13,8.8,0,76,0,9.8,17.4,27.8,2015,6,5 +358,3.453,4.079,275973,35,320,890,62,13.7,17,5,0,66,0,9.3,28.7,40.7,2015,6,8 +359,3.096,3.286,313947,32,345,690,60.406,8.6,13,5,0,73,0,10,18.1,31.7,2015,6,9 +360,3.068,3.367,294143,32,420,840,62.257,8.8,11.2,3,0,72,0,10,13,24.1,2015,6,10 +361,2.971,3.194,312226,37,480.5,961,63.643,7.5,13,3,0,52,0,9.8,7.6,14.8,2015,6,11 +362,2.96,3.452,307405,38,383.5,767,60.406,10.8,17,6,0,78,0,10,8.9,16.5,2015,6,14 +363,2.967,3.434,266534,42,750,1500,68.183,12.6,17,10,0,50,0,7.2,5,20.6,2015,6,15 +364,2.944,3.304,286756,40,440,920,63.155,12.7,15.2,11,0,56,0,10,8.3,22.2,2015,6,16 +365,2.987,4.158,290286,40,450,900,63.201,11.8,14,9.8,0,56,0,9.8,14.4,25.9,2015,6,17 +366,3,3.218,271786,34,456,912,62.895,8.7,11.3,5,0,54,0,10,15.9,29.4,2015,6,18 +367,3.011,3.581,256123,38,562.5,1125,68.183,7.3,12,3,0,66,0,10,26.1,51.9,2015,6,21 +368,3.022,3.512,264775,39,370,800,60.885,10.4,12,5,0,66,0,10,38.7,51.9,2015,6,22 +369,3.26,3.471,329228,49,370,840,63.312,13.2,17,8.9,0,65,0,10,31.9,46.5,2015,6,23 +370,3.023,3.18,235591,42,760,875,60,11.1,16,7.9,0,77,0,9.8,15.2,22.2,2015,6,24 +371,3.022,3.105,255570,45,450,900,63.729,11.4,13,10,0,74,0,10,13.1,27.8,2015,6,25 +372,3.013,3.188,272990,46,371,742,61.256,9.9,14,5,0,77,0,10,8.5,16.5,2015,6,28 +373,3.024,3.138,266714,41,485,970,63.643,7.8,13,3.5,0,51,0,9.8,8.5,14.8,2015,6,29 +374,3.019,3.154,277412,36,521,1042,64.12,9.8,12.4,5,0,70,0,10,9.8,15.3,2015,6,30 +375,2.992,3.252,267615,35,437.5,875,63.84,11.1,14,9,0,59,0,9.5,22.2,33.5,2015,7,1 +376,2.849,3.27,262835,33,360,730,61.19,7.3,11.1,3,0,70,0,10,18.1,40.7,2015,7,2 +377,3.048,3.223,230251,44,515,1030,64.953,9.9,15,7,0,60,0,9.5,33.7,44.6,2015,7,5 +378,2.961,3.204,228277,34,494,988,64.953,8.3,11,7,0,80,0,1,26.5,35.2,2015,7,6 +379,2.653,3.292,268192,42,526.5,1053,63.643,8.1,14,2,0,83,0,10,12,22.2,2015,7,7 +380,3.026,3.228,255014,42,370,884,66,10.7,14,8.7,0,71,0,10,17.2,25.9,2015,7,8 +381,3.03,3.345,320720,37,490,980,63.643,9.7,12,6,0,71,0,10,22.6,35.2,2015,7,9 +382,3.037,3.356,186893,25,340,680,59.396,9,11,6,0,92,0,5,28,38.9,2015,7,12 +383,2.901,4.444,258631,20,250,500,53.152,8.7,12,6.8,0,77,0,10,24.6,33.5,2015,7,13 +384,3.399,3.456,345185,31,200,593,54.531,5.9,9,3,0,81,0,10,20,50,2015,7,14 +385,3.029,3.46,350890,37,327,654,60.406,7.4,9,5,0,82,0,10,9.8,20.6,2015,7,15 +386,3.274,3.356,295550,38,395,790,61.033,8.4,12,6,0,79,0,9.7,21.1,29.4,2015,7,16 +387,3.006,3.245,266787,30,440,880,60.852,5.2,13,-1,0,75,0,10,10,20.6,2015,7,19 +388,3.607,3.818,208687,36,450,960,58,9.8,14,5,0,61,0,10,27,48.2,2015,7,20 +389,3.008,3.381,256514,41,497.5,995,64.953,12.7,15.2,11,0,67,0,9.5,39.6,55.4,2015,7,21 +390,3.007,3.36,264696,48,480,960,64.12,9.8,15.3,6,0,74,0,1,18.9,31.7,2015,7,22 +391,3.108,3.437,279179,37,489,978,64.953,10.4,14,7,0,81,0,1,22.8,33.5,2015,7,23 +392,3.155,3.242,288225,30,300,760,61.19,6.6,11,4,0,67,0,10,27.8,61.1,2015,7,26 +393,3.403,3.741,301315,36,415,830,63.091,8.9,13,6.9,0,73,0,10,20.6,31.7,2015,7,27 +394,2.998,3.713,306927,26,590,1180,68.183,9.9,14,5.8,0,74,0,1,13.9,22.2,2015,7,28 +395,3.449,3.809,264852,26,488.5,977,64.953,9.3,13,7,0,67,0,1,28.9,55.4,2015,7,29 +396,3.318,3.722,267722,40,495,990,64.12,7.8,11,4,0,73,0,1,32,64.8,2015,7,30 +397,3.23,3.667,334956,41,425,850,62.479,10.1,14,6,0,62,0,9.8,27.4,38.9,2015,8,2 +398,2.995,3.686,330269,32,340,1050,51,5.6,10,2,0,67,0,10,20,37,2015,8,3 +399,3.575,3.621,328755,36,450,900,62.367,8.6,10,6,0,66,0,9.8,22,31.7,2015,8,4 +400,2.984,3.577,341811,29,554,1108,68.183,7.4,11,4,0,76,0,9.8,23.9,40.7,2015,8,5 +401,3.447,3.664,305398,28,400,800,58.612,9.3,13,6,0,85,0,10,17.2,31.7,2015,8,6 +402,3.274,3.67,314875,42,440,880,63.248,9.5,12,7.8,0,72,0,10,31.9,57.6,2015,8,9 +403,2.992,3.527,306061,45,460,920,62.524,9.8,15,6,0,69,0,10,27.2,53.5,2015,8,10 +404,3.067,3.451,313726,27,360,952,63.312,10.9,14,7,0,57,0,10,31.1,48.2,2015,8,11 +405,2.98,3.363,307656,23,500,1000,64.477,8.9,12,7,0,81,0,10,16.7,24.1,2015,8,12 +406,2.979,3.342,297035,34,460,920,63.201,10.5,12,8,0,65,0,10,16.7,25.9,2015,8,13 +407,4.322,4.798,315056,47,415,830,63.312,11.3,15,8,0,67,0,9.3,21.7,35.2,2015,8,16 +408,3.305,3.744,363624,45,450,900,62.524,6.6,11,4,0,77,0,10,18.7,33.5,2015,8,17 +409,3.215,3.779,335108,43,412.5,825,60.757,7.8,10,5.6,0,78,0,10,6.3,16.5,2015,8,18 +410,2.924,3.764,317375,42,470,840,61,8.8,13,4.7,0,64,0,10,16.1,44.6,2015,8,19 +411,3.098,3.658,338254,44,470,940,64.477,13,16,11,0,55,0,0,39.3,51.9,2015,8,20 +412,3.261,3.536,324078,45,410,820,61.463,10.9,16,7,0,74,0,10,15.2,22.2,2015,8,23 +413,3.056,2.88,342521,44,415,830,63.248,10.3,12,9,0,73,0,10,28,37,2015,8,24 +414,2.702,3.948,291742,47,438,876,63.091,9.9,13,7,0,76,0,9.8,17.4,31.7,2015,8,25 +415,3.454,3.39,310756,46,503.5,1007,64.477,11.1,15,8.6,0,72,0,9.8,7.4,13,2015,8,26 +416,3.289,3.545,225561,42,310,735,61.198,9.4,11.2,6.6,0,92,0,9.3,17.2,29.4,2015,8,27 +417,2.994,3.475,258161,41,380,760,60.728,8.7,11,6.5,0,78,0,10,13.7,22.2,2015,8,30 +418,2.997,3.303,247673,36,425,850,62.83,8.4,13,1.8,0,68,0,10,11.7,20.6,2015,8,31 +419,3.091,3.322,271978,40,492.5,985,64.477,11.2,16,9,0,59,0,10,22.2,37,2015,9,1 +420,2.954,3.449,283458,37,330,880,60,12.3,18,9,0,73,0,10,15.4,37,2015,9,2 +421,3.033,3.306,298037,51,500,1000,63.643,9.4,13.1,4,0,79,0,10,17.8,35.2,2015,9,3 +422,3.01,3.31,296488,50,417,834,63.312,10.8,15,8,0,66,0,9.8,29.3,50,2015,9,6 +423,3.025,3.28,255120,43,435,870,63.293,9.4,12,8,0,71,0,9.5,22.6,40.7,2015,9,7 +424,3.012,3.247,263866,48,340,780,61.632,10.3,13,9,0,77,0,8.9,17,31.7,2015,9,8 +425,1.868,3.394,299105,48,455,910,63.201,10.9,14,8,0,74,0,10,14.4,31.7,2015,9,9 +426,3.491,3.356,284981,45,470,940,64.12,9.3,16,4,0,77,0,10,13.5,29.4,2015,9,10 +427,2.934,3.38,246534,36,413,826,62.218,18.8,24,15,0,49,0,0,32.4,48.2,2015,9,13 +428,3.136,3.385,296682,30,380,769,52,18,25.7,9.9,0,55,0,9,27.8,48.2,2015,9,14 +429,2.99,3.261,288903,29,313.5,627,58.136,10.6,16,6,0,69,0,10,18.5,35.2,2015,9,15 +430,4.36,5.105,304905,33,380,760,61.339,10.6,15,7,0,77,0,9.8,11.7,27.8,2015,9,16 +431,5.116,6.025,289703,26,313.5,627,57.178,10.9,14,8.8,0,78,0,9.7,14.3,27.8,2015,9,17 +432,5.381,5.589,286984,36,350,747,62.218,16.8,22,13,0,55,0,10,26.9,42.4,2015,9,20 +433,3.229,3.711,248065,37,494,988,64.12,10.1,17.1,5.9,0,69,0,10,22.2,37,2015,9,21 +434,3.659,3.554,244697,49,426,852,63.006,8.1,12,4.9,0,64,0,10,23,42.4,2015,9,22 +435,3.003,3.592,228784,54,661,1322,68.183,8.6,12.6,4,0,62,0,10,18.5,31.7,2015,9,23 +436,3.257,3.476,236778,51,449,898,62.895,9.1,15,1.9,0,74,0,10,15.4,27.8,2015,9,24 +437,3.3,3.735,230818,38,442.5,885,63.097,13.3,21,5,0,53,0,10,13.7,33.5,2015,9,27 +438,3.289,3.578,208883,45,514,1028,64.12,13.3,22,6,0,56,0,10,13.9,22.2,2015,9,28 +439,3.033,3.472,236426,48,458.5,917,63.774,12.3,17,9.8,0,67,0,10,14.4,27.8,2015,9,29 +440,2.978,3.435,277242,54,570,1193,86,10,17,4,0,66,0,10,17.6,25.9,2015,9,30 +441,3.124,3.376,201316,41,449.5,899,63.931,21.6,28,17,0,33,0,0,31.3,51.9,2015,10,2 +442,2.969,3.296,238051,39,479,958,64.953,18.5,28,11,0,53,0,0,13.3,27.8,2015,10,4 +443,2.959,3.336,223142,40,434,868,64.849,26.4,34.1,19,0,23,0,0,33.5,48.2,2015,10,5 +444,3.181,3.61,275130,43,442,884,64.367,19.2,35,9,0,35,0,10,30.6,64.8,2015,10,6 +445,2.979,3.479,303446,45,454,908,63.403,11.5,16,8,0,60,0,10,20.7,33.5,2015,10,7 +446,2.998,3.712,285342,46,560,996,64.477,15.4,25,9,0,62,0,0,12.8,33.5,2015,10,8 +447,3.369,3.546,280161,39,439.5,879,63.091,15.3,26,10,0,79,0,7.4,18,31.7,2015,10,11 +448,2.974,3.365,239798,39,418,836,62.303,11.3,15,5,0,71,0,10,17.6,29.4,2015,10,12 +449,2.953,3.418,277537,35,342,684,61.24,13.4,21,7,0,71,0,10,12.6,29.4,2015,10,13 +450,2.964,3.272,302267,44,430,582,68,22,28,17,0,46,0,10,23.3,38.9,2015,10,14 +451,2.979,3.551,293161,42,254,508,58.616,24.4,34,16,0,25,0,0,19.3,44.6,2015,10,15 +452,2.963,3.463,271285,37,415,830,62.322,12.4,19,6,0,66,0,0,13.1,22.2,2015,10,18 +453,4.107,4.156,239881,35,427.5,855,63.729,19.4,28,10,0,36,0,0,17.4,31.7,2015,10,19 +454,2.99,3.394,264259,48,420,865,64.849,23.2,32,15,0,47,0,9.5,18.3,35.2,2015,10,20 +455,2.927,3.297,262920,34,470,940,64.953,12.4,18,10,0,79,0,9.8,22.8,33.5,2015,10,21 +456,2.834,3.001,290372,40,450,900,63.886,12.1,16,10,0,73,0,9.7,21.9,33.5,2015,10,22 +457,2.855,2.95,271698,36,400,800,63.227,22,32,13,0,35,0,9.7,29.8,53.5,2015,10,25 +458,2.129,2.891,265113,48,380,1115,70,11.9,16,9,0,70,0,10,26.9,40.7,2015,10,26 +459,2.488,2.748,237002,48,470,940,64.953,15.7,23,8,0,47,0,10,18.9,44.6,2015,10,27 +460,2.544,3.127,261331,48,645,1290,68.183,17.8,26,10,0,49,0,6.3,16.1,33.5,2015,10,28 +461,3.355,3.706,268448,48,485,970,64.953,19.2,26,10.7,0,43,0,0,13.7,31.7,2015,10,29 +462,3.412,3.319,248447,50,380,760,62.374,17.1,26,13,0,76,0,9.5,15.9,38.9,2015,11,1 +463,2.898,3.221,267357,50,380,845,63.136,14.1,18,9,0,68,0,10,12.6,20.6,2015,11,3 +464,2.889,3.279,278282,53,495,990,64.477,20.5,27,16.8,0,72,0,7.7,15.6,29.4,2015,11,4 +465,2.897,3.364,244110,33,360,720,62.023,18.7,24,15,0,82,0,10,14.6,63,2015,11,5 +466,3.36,3.641,303666,37,325,650,61.591,19.3,26,13,0,34,0,0,16.3,35.2,2015,11,8 +467,3.065,3.574,300547,49,430.5,861,64.321,22.8,34,14,0,41,0,9.2,18.1,33.5,2015,11,9 +468,3.152,3.459,277916,50,552.5,1105,68.183,12.3,15,10.8,0,79,0,9.8,18,29.4,2015,11,10 +469,3.076,3.451,291609,50,580,1110,92,14.8,18,12,0,50,0,9.7,9.4,14.8,2015,11,11 +470,2.887,3.337,301484,50,530,1060,64.477,16.5,23,12,0,75,0,10,16.7,27.8,2015,11,12 +471,3.22,3.508,238098,43,437.5,875,63.136,14.9,22,10.8,0,71,0,10,16.5,25.9,2015,11,15 +472,3.276,3.663,253699,42,405,810,61.942,21.3,27,14,0,45,0,0,20.2,44.6,2015,11,16 +473,2.992,3.551,258243,47,487.5,975,65.717,19.4,33,10,0,42,0,9.8,17.6,44.6,2015,11,17 +474,2.993,3.442,277745,47,530,1060,64.477,25.1,29,20,0,34,0,10,15.9,35.2,2015,11,18 +475,3.123,3.859,262671,50,380,945,64.367,20.1,33,14,0,64,0,9.8,16.7,44.6,2015,11,19 +476,3.189,3.419,272561,50,420,840,63.201,15.3,21,12,0,61,0,10,15,27.8,2015,11,22 +477,3.173,3.384,305234,50,450,900,63.201,15.4,21,9.8,0,63,0,10,15.4,29.4,2015,11,23 +478,3.902,4.112,265673,41,585,1170,68.183,18.3,27,11,0,50,0,10,16.3,42.4,2015,11,24 +479,3.403,3.796,267475,42,450,1030,72,23.4,34,8,0,26,0,10,40.2,68.3,2015,11,25 +480,3.203,3.431,275814,46,545,1090,68.183,11.3,17,5,0,47,0,10,25.9,48.2,2015,11,26 +481,3.444,3.638,271563,44,417.5,835,63.358,14.5,25,8.5,0,64,0,10,16.7,35.2,2015,11,29 +482,1.927,3.398,280864,50,370,1100,67.264,21.4,32,13,0,44,0,10,23.9,51.9,2015,11,30 +483,3.462,3.402,276888,50,370,920,63.312,14.1,23,7,0,45,0,10,23.5,46.5,2015,12,1 +484,3.013,3.282,269369,50,370,870,63.84,12.9,18,8,0,54,0,10,18.3,33.5,2015,12,2 +485,3.021,3.204,279465,50,490,840,64.477,15.6,27,9,0,65,0,10,12.4,27.8,2015,12,3 +486,3.43,3.647,167532,40,360,760,62.019,21.8,29.3,17,0,64,0,10,14.1,24.1,2015,12,6 +487,3.027,3.265,231881,50,340,920,78,23.4,27,20,0,64,0,10,17.6,42.4,2015,12,7 +488,2.997,3.392,257198,50,380,900,64.367,21.9,36,13,0,53,0,10,25,48.2,2015,12,8 +489,3.587,4.109,279211,48,570,940,64.477,17.7,27,10.6,0,59,0,10,16.1,33.5,2015,12,9 +490,3.213,2.942,223469,44,520,860,64.953,18.2,26,11,0,49,0,10,18,29.4,2015,12,10 +491,3.56,4.035,248592,47,280,760,61.827,19.4,29,10.6,0,34,0,0,15.4,29.4,2015,12,13 +492,3.305,3.819,261120,46,420,990,63.201,20.8,27,16,0,60,0,7.6,15.7,25.9,2015,12,15 +493,3.672,3.851,253265,45,660,900,64.477,22.5,29,15,0,57,0,0,22.4,46.5,2015,12,16 +494,3.021,3.387,274939,44,320,940,64.367,28.6,36.2,19.8,0,26,0,0,20.9,44.6,2015,12,17 +495,3.106,3.598,207493,50,360,790,62.569,20.9,0,13,0,55,0,10,20.4,50,2015,12,20 +496,3.663,3.768,190031,35,380,760,66,15.6,20,11,0,56,0,10,22.4,35.2,2015,12,21 +497,3.622,3.77,208327,49,340,900,63.729,19,25,14,0,61,0,10,14.4,24.1,2015,12,22 +498,3.8,3.85,230542,48,450,1000,63.886,22.1,29,14.7,0,59,0,10,17.4,33.5,2015,12,23 +499,3.053,3.404,185676,48,422.98,845.96,64.894,26.2,35,12,0,29,0,6.6,35.4,53.5,2015,12,25 +500,3.485,3.627,189064,44,280,660,61.834,16.7,22,11,0,62,0,10,14.8,25.9,2015,12,28 +501,3.048,3.463,175314,37,320,690,61.668,18.8,27,12,0,60,0,0,14.4,27.8,2015,12,29 +502,3.103,3.297,174974,35,360,860,64.738,29.4,35,23,0,19,0,0,19.1,31.7,2015,12,30 +503,3.095,3.273,204968,50,422.98,845.96,64.366,20.5,28,16,0,61,0,10,19.1,27.8,2016,1,1 +504,3.086,3.272,175665,54,280,730,61.844,20.1,27,14,0,62,0,10,14.8,31.7,2016,1,3 +505,3.071,3.266,187587,51,320,800,61.962,19.1,24,14,0,66,0,10,11.3,22.2,2016,1,4 +506,3.069,3.217,179315,49,340,840,57,20.4,25,16,0,66,0,10,11.7,29.4,2016,1,5 +507,3.085,3.547,183456,43,630,970,65.59,19.8,25,15,0,70,0,10,22.6,40.7,2016,1,6 +508,2.537,3.377,203716,50,570,910,65.59,17.9,23,13.9,0,61,0,10,25,35.2,2016,1,7 +509,3.653,3.562,211567,44,280,700,63.364,24.6,34,17,0,36,0,0,14.4,25.9,2016,1,10 +510,3.785,3.709,229446,49,320,970,65.531,23.1,37,15,0,51,0,10,16.1,57.6,2016,1,11 +511,2.745,3.434,231955,46,360,880,65.531,21.7,36,15,0,60,0,10,13.7,35.2,2016,1,12 +512,3.458,3.215,269373,43,360,870,65.004,28.9,43,16.9,0,32,0,10,28,48.2,2016,1,13 +513,3.354,3.585,252342,43,550,1000,65.114,14.3,18,12,0,61,0,10,23,38.9,2016,1,14 +514,3.46,3.933,242024,46,320,760,63.521,26.7,32,21,0,23,0,0,24.3,42.4,2016,1,17 +515,3.274,3.641,216526,36,370,900,65.531,23.9,36.3,13,0,31,0,10,16.1,38.9,2016,1,18 +516,3.238,3.563,246403,38,410,1000,64.847,23.9,33,17.8,0,48,0,10,13.7,25.9,2016,1,19 +517,3.085,3.335,203753,36,380,750,61.668,22,30,18,0,74,0,8.2,16.1,29.4,2016,1,20 +518,3.014,3.295,242712,36,420,1000,70,19.5,27,16.9,0,79,0,8.7,10.6,40.7,2016,1,21 +519,3.033,3.216,163031,52,510,830,65.59,18.3,23,15,0,76,0,9.7,18.5,31.7,2016,1,24 +520,2.954,3.237,186628,49,310,850,64.366,22.8,29,17.9,0,57,0,10,12.2,31.7,2016,1,26 +521,4.115,4.9,247019,45,650,950,65.114,23.7,28.1,21,0,60,0,10,31.5,46.5,2016,1,27 +522,4.408,4.099,284997,51,460,780,61.619,19.3,29,13,0,78,0,9.5,18.7,33.5,2016,1,28 +523,3.028,3.503,280083,49,320,590,58.488,14.9,20,10,0,72,0,10,20.4,40.7,2016,1,31 +524,3.024,3.38,260268,50,320,680,61.533,19.7,25,15,0,67,0,8.5,12.8,25.9,2016,2,1 +525,4.193,4.705,246364,50,350,930,66,23.5,32,17,0,54,0,9,18.3,27.8,2016,2,2 +526,4.173,4.149,254234,40,300,740,61.69,17.5,21,16,0,66,2.03,10,26.7,37,2016,2,3 +527,4.09,4.288,287372,41,370,760,61.748,17.7,21,14,0,71,0,10,20.9,33.5,2016,2,4 +528,4.112,4.236,248066,36,300,680,62.348,22.4,31,16,0,61,0,10,16.1,29.4,2016,2,7 +529,3.001,3.425,245010,45,430,840,63.838,19.5,24,17,0,63,0,10,18.3,27.8,2016,2,8 +530,3.199,3.745,233490,46,450,810,62.218,19.9,25,16,0,66,0,10,13.9,22.2,2016,2,9 +531,3.132,3.504,208796,36,560,820,62.622,20.1,24,17,0,62,0,10,16.5,22.2,2016,2,10 +532,2.735,3.412,205307,50,540,1100,68.82,19.7,25,15,0,64,0,10,17.6,29.4,2016,2,11 +533,0.187,4.761,239544,38,360,770,67,18.3,25,12,0,55,0,10,19.1,35.2,2016,2,14 +534,2.344,4.887,230809,33,340,660,62.218,19.4,27.7,13.9,1013.2,45,0,12.6,21.5,37,2016,2,15 +535,4.094,5.327,256059,30,370,700,62.218,15.1,18,13,0,55,0,10,27,38.9,2016,2,16 +536,3.703,4.961,272004,20,400,730,59.603,17.9,23,14.8,0,73,0,9.8,23.5,35.2,2016,2,17 +537,3.961,4.368,222314,32,350,810,61.866,18.3,23,15,0,68,0,10,11.3,18.3,2016,2,18 +538,3.885,3.919,222672,21,300,660,60.267,20.4,28,14,0,52,0,0,14.1,24.1,2016,2,21 +539,3.143,3.691,210987,50,230,730,63.393,25.1,33,19,0,37,0,0,15.4,51.9,2016,2,22 +540,3.384,3.844,215544,46,360,840,65.531,29.3,40,23,0,32,0,0,23.7,53.5,2016,2,23 +541,5.409,6.357,219079,32,580,750,62.622,22.1,28.2,18.9,0,72,0,10,14.8,31.7,2016,2,24 +542,5.371,5.975,207570,42,560,840,65.59,20.1,30,12,0,64,0,10,17.6,31.7,2016,2,25 +543,4.9,5.051,192139,50,330,1000,64.366,18.6,23,14,0,61,0,10,18.3,27.8,2016,2,28 +544,3.954,4.018,177134,50,360,710,62.048,18.5,26,13,0,73,0,9.5,15,35.2,2016,2,29 +545,4.17,4.504,201268,49,490,890,66.354,25.1,34,17.9,0,31,0,0,20.7,35.2,2016,3,1 +546,4.152,4.438,229270,49,480,920,74,23.6,36,16.5,0,47,0,10,17.8,35.2,2016,3,2 +547,3.538,4.094,272464,44,410,520,58.766,19.6,26,15,0,64,0,10,12.4,20.6,2016,3,3 +548,4.237,4.759,248067,55,340,360,58.806,21.1,28,15.1,0,72,0,10,13.5,27.8,2016,3,6 +549,3.921,4.42,247498,49,490,780,62.973,20.6,25,18.8,0,79,0,9.5,15.6,24.1,2016,3,7 +550,3.872,4.018,250976,51,480,710,63.931,32.3,40,27,0,23,0,0,27.2,40.7,2016,3,8 +551,3.453,3.977,260257,50,450,830,64.366,21.7,30,17.9,0,74,2.03,9.7,16.7,27.8,2016,3,9 +552,3.368,3.724,249098,51,510,840,65.59,19.2,22,18.5,0,92,0,6.3,7.4,16.5,2016,3,10 +553,3.041,3.539,239513,52,422.98,845.96,64.256,22.3,28,18,0,78,0,9.7,10.7,22.2,2016,3,11 +554,3.187,3.518,212006,45,420,780,62.019,16.6,20,13,0,71,0,10,16.9,29.4,2016,3,14 +555,3.436,3.694,207359,39,460,810,62.176,19.3,28,14,0,67,0,10,14.4,33.5,2016,3,15 +556,2.982,3.723,227429,47,620,960,71,25.1,31,19,0,45,0,0,22.6,53.5,2016,3,16 +557,3.218,3.722,275512,40,360,870,65.486,25.3,33,14,0,46,0,9,30.2,46.5,2016,3,17 +558,3.31,3.843,253338,39,340,730,62.16,15.2,22,9,0,62,0,10,13.1,25.9,2016,3,20 +559,3.6,4.125,210261,45,410,700,62.019,15.9,22,10,0,72,0,10,16.3,31.7,2016,3,21 +560,4.929,5.401,210442,43,320,720,62.029,18.6,26,13,0,51,0,0,13.9,25.9,2016,3,22 +561,4.566,4.709,230551,51,440,850,64.32,20.9,29,12.6,0,52,0,12.1,13.3,25.9,2016,3,23 +562,3.593,3.856,219806,40,422.98,845.96,64.32,16.2,20.4,11,0,64,0,10,14.1,27.8,2016,3,25 +563,3.707,4.057,193262,41,350,680,62.029,15.9,19,13.8,0,50,0,10,23.7,29.4,2016,3,28 +564,4.449,4.988,197264,46,520,770,65,15.4,17.4,14,0,58,0,10,20.4,31.7,2016,3,29 +565,4.454,4.727,212886,43,370,790,61.891,13.3,18,7,0,62,0,10,14.6,27.8,2016,3,30 +566,4.213,4.581,226469,42,360,880,64.32,17.9,23,13,0,59,0,10,16.5,29.4,2016,3,31 +567,4.208,4.441,185609,40,300,680,61.962,13.2,19,8,0,61,0,0,15.4,27.8,2016,4,3 +568,4.172,4.637,125886,42,530,760,62.736,16.7,23.3,11,0,53,0,0,13.5,33.5,2016,4,4 +569,4.135,4.653,149992,35,540,880,65.59,20.6,29,12,0,44,0,7.9,19.6,38.9,2016,4,5 +570,4.298,4.701,260866,27,340,690,60.073,11.2,15,7,0,84,0,51.5,14.1,31.7,2016,4,6 +571,4.199,4.49,282652,37,370,730,61.866,14.1,18,10,0,69,0,0,10,18.3,2016,4,7 +572,4.014,4.569,250282,41,380,750,62.412,17.6,23,14,0,58,0,0,20.2,29.4,2016,4,10 +573,4.123,4.397,181203,52,440,910,74,15.7,20,13,0,73,0,0,17.8,27.8,2016,4,11 +574,3.944,4.4,183726,43,550,940,65.59,14.7,18.5,12,0,78,0,0,14.1,27.8,2016,4,12 +575,3.793,4.357,289441,39,440,840,63.728,14.4,19,10,0,73,0,51.8,12.4,24.1,2016,4,13 +576,4.141,4.381,254752,38,450,750,62.061,18.3,27,12,0,51,0,7.7,17.2,29.4,2016,4,14 +577,3.837,4.045,243966,40,330,700,62.317,13,21,8,0,70,0,0,16.5,33.5,2016,4,17 +578,4.581,5.696,223776,35,330,690,62.218,19.1,25,13,0,49,0,0,20.9,38.9,2016,4,18 +579,5.685,5.632,271098,44,530,1000,65.114,20.4,27,16,0,44,0,0,23.7,40.7,2016,4,19 +580,4.652,5.15,278619,47,720,930,65.114,23.1,28,20,0,33,0,0,27.2,40.7,2016,4,20 +581,5.327,5.744,283027,41,580,850,65.59,16.9,24,13,0,71,0,8.4,17.8,33.5,2016,4,21 +582,4.844,4.761,257788,33,422.98,845.96,64.32,13.3,16,11,0,61,0,0,17.4,27.8,2016,4,22 +583,4.181,4.388,268530,39,400,630,60.232,17.1,25,9,0,54,0,0,19.8,33.5,2016,4,25 +584,4.281,4.505,261710,30,380,780,62.218,19.4,25,14,0,37,0,0,26.1,44.6,2016,4,26 +585,4.224,4.625,200091,45,810,900,70,21,24,18,0,42,0,0,31.7,44.6,2016,4,27 +586,4.426,4.566,239173,46,620,650,62.841,19.6,24,16,0,57,0.76,0,18.1,38.9,2016,4,28 +587,5.439,5.881,230841,36,500,850,65.59,11.3,16,8,0,61,0,10,26.3,44.6,2016,5,1 +588,5.668,7.364,188941,37,350,960,64.522,14.3,17,12.5,0,52,0,10,34.3,48.2,2016,5,2 +589,4.93,7.966,260517,40,370,1300,67.701,12.9,19,7,0,64,0,9.7,26.9,51.9,2016,5,3 +590,3.892,4.936,292013,34,590,900,65.114,13.9,17,11,0,57,0,10,22.4,35.2,2016,5,4 +591,4.142,4.722,277500,37,780,1000,65.114,16.6,20.2,14,0,57,0,10,35.2,50,2016,5,5 +592,4.819,5.984,213211,50,470,790,62.973,17.8,20,15,0,88,0,9.8,25.4,57.6,2016,5,8 +593,5.412,6.088,241074,40,570,820,62.973,15.4,21,12.8,0,76,0,9.5,34.1,53.5,2016,5,9 +594,5.043,5.117,277110,35,360,930,63.949,13.3,16.2,11,0,62,0,10,30.9,42.4,2016,5,10 +595,4.336,4.598,254395,38,360,710,63,15.2,18,13,0,67,0,10,24.3,37,2016,5,11 +596,4.347,5.164,272476,39,360,890,63.949,17,21,13.5,0,66,0,10,21.9,35.2,2016,5,12 +597,4.462,4.365,253118,50,310,660,62.317,13.2,21,7,0,67,0,10,20.9,38.9,2016,5,15 +598,4.242,4.53,255636,49,670,900,65.59,15.4,18.7,12,0,67,0,10,30.7,59.4,2016,5,16 +599,4.498,5.055,266683,40,620,900,65.114,14,17,11.2,0,58,0,10,16.1,29.4,2016,5,17 +600,3.708,4.041,283088,53,720,1100,68.82,15.2,19,13,0,56,0,10,22.6,29.4,2016,5,18 +601,4.858,5.546,248615,50,600,1000,65.59,14.6,17,9.8,0,73,0,10,20.6,38.9,2016,5,19 +602,4.363,4.332,206024,52,530,910,65.59,16.9,21,11,0,58,0.51,10,34.4,53.5,2016,5,22 +603,3.858,4.555,287972,50,520,970,73,11.9,16,8.7,0,68,0,10,21.7,42.4,2016,5,23 +604,3.915,4.801,313503,50,610,970,65.114,10.9,16,7,0,72,0,10,20.4,42.4,2016,5,24 +605,4.509,5.079,289080,44,380,880,63.93,11.2,15,9,0,81,0,9.2,33.5,57.6,2016,5,25 +606,4.316,4.992,329619,32,340,690,60.406,9.1,11,6,0,88,0,9.2,17.4,25.9,2016,5,26 +607,4.332,4.869,281219,48,250,660,60.572,8,12.2,4,0,69,0,10,15,25.9,2016,5,29 +608,3.74,4.804,280345,41,340,800,60.572,7.4,14,1,0,70,0,10,12.2,22.2,2016,5,30 +609,4.16,6.063,297279,45,480,960,64.28,8.8,16,4,0,68,0,10,12.4,20.6,2016,5,31 +610,4.126,4.554,300879,49,430,790,60.757,8.9,16,3,0,75,0,10,10.7,18.3,2016,6,1 +611,4.704,4.832,315064,44,420,840,62.414,9.1,13,6,0,90,0,5.5,7.2,14.8,2016,6,2 +612,4.446,7.225,253529,29,330,700,61.339,11.6,14,7.5,0,90,0,8.4,9.1,22.2,2016,6,5 +613,5.637,5.845,223104,50,360,850,63.664,10.6,13,8,0,82,0,10,18.7,31.7,2016,6,6 +614,4.761,5.065,263832,51,480,820,62.973,11.5,14,8,0,85,0,9.7,18.5,31.7,2016,6,7 +615,1.916,4.842,175754,41,370,740,62,12,14,10,0,31,0,10,31.5,51.9,2016,6,8 +616,4.143,4.815,264055,45,520,840,64.953,11.8,17,8,0,74,0,9.8,19.4,31.7,2016,6,9 +617,5.929,5.092,246666,49,422.98,845.96,62.942,10.7,15,6,0,71,0,9.7,20.9,31.7,2016,6,10 +618,4.327,5.237,177736,45,350,740,62.119,9.8,12.1,8,0,65,0,10,30,46.5,2016,6,13 +619,3.99,4.962,265425,39,390,740,61.591,9.8,14,7,0,72,0,10,22.8,27.8,2016,6,14 +620,4.239,4.832,167116,50,590,800,62.775,10.7,17,7,0,73,0,10,21.1,46.5,2016,6,15 +621,4.017,4.632,274879,53,520,910,64.477,11.9,14,9.7,0,80,0,10,31.9,48.2,2016,6,16 +622,4.9,5.185,267020,45,660,750,62.397,11.3,12.3,9.9,0,89,0,82,16.3,31.7,2016,6,19 +623,4.77,4.776,202008,39,320,1000,63.664,10.8,12.4,8,0,87,0,8.7,17.6,27.8,2016,6,20 +624,3.662,3.885,255306,31,280,710,62.023,10.8,14,9,0,76,0,10,26.5,42.4,2016,6,21 +625,3.482,4.249,244727,40,330,740,55,11.7,14,9,0,67,0,10,24.4,38.9,2016,6,22 +626,3.417,4.348,219358,17,270,600,53.347,8.8,13,5,0,76,0,9.5,27.6,53.5,2016,6,23 +627,3.44,4.006,265674,41,310,680,61.198,7.1,10,5,0,74,0,10,22.4,27.8,2016,6,26 +628,3.729,3.873,259854,40,300,820,61.198,8,10,5,0,84,0,9.5,18.5,27.8,2016,6,27 +629,3.016,4.152,303367,39,350,780,61.405,10.8,16,7,0,79,0,10,22.2,27.8,2016,6,28 +630,3.842,4.141,303958,28,360,920,63.248,10.8,15,8.5,0,68,0,10,30,48.2,2016,6,29 +631,3.486,3.897,306053,34,370,880,63.248,8.3,10,7,0,82,0,9.5,28.7,55.4,2016,6,30 +632,3.964,3.652,300053,38,300,690,61.24,11.8,16,10,0,68,0,10,24.8,31.7,2016,7,3 +633,2.98,3.768,303266,46,370,845.96,63.091,9.3,12,7,0,81,0,9.8,15.4,24.1,2016,7,4 +634,3.095,4.219,225778,22,370,810,60.229,10.5,12,8,0,93,0,8.4,21.5,33.5,2016,7,5 +635,3.539,4.551,290915,20,310,570,53.394,10.6,12,9.8,0,92,0,6.6,20.6,33.5,2016,7,6 +636,2.717,3.944,318969,39,410,670,61.591,10.1,12,8,0,94,0,82,9.4,22.2,2016,7,7 +637,3.435,4.036,284401,40,340,750,60,11.2,13,11,0,50,0,10,37.2,63,2016,7,10 +638,2.982,3.687,295527,32,330,790,61.396,12.2,14,10,0,67,0,10,35.4,51.9,2016,7,11 +639,3.338,4.07,259123,49,330,710,61.483,6.7,12,3,0,65,0,10,34.8,48.2,2016,7,12 +640,3.334,4.127,248927,45,400,790,61.541,7.8,11,4.9,0,68,0,10,24.6,40.7,2016,7,13 +641,3.348,4.06,306436,40,480,760,62.397,9.7,12.2,7,0,69,0,10,18.7,31.7,2016,7,14 +642,3.221,3.676,233359,43,360,770,62.374,12.4,15,10.6,0,69,0,10,37.4,55.4,2016,7,17 +643,3.079,3.576,270172,44,320,740,61.69,13.8,18,11,0,77,0,10,21.7,38.9,2016,7,18 +644,2.352,5.543,258090,33,640,820,62.622,11.4,15,8,0,85,0,10,6.9,13,2016,7,19 +645,4.751,4.226,189084,34,420,800,60.835,9.9,15,6,0,83,0,9.7,9.8,27.8,2016,7,20 +646,3.804,3.847,239883,32,480,840,64.953,14.7,17.1,12.7,0,82,0,9.5,34.6,57.6,2016,7,21 +647,5.275,4.916,256952,38,320,600,58.331,7.9,11,5.9,0,74,0,10,26.9,40.7,2016,7,24 +648,4.302,4.503,277208,23,500,680,59.994,8.7,13,5,0,65,0,9.7,27.2,57.6,2016,7,25 +649,3.202,3.919,284140,38,310,690,49,8.4,10,7,0,72,0,9.8,26.9,38.9,2016,7,26 +650,3.019,4.544,293102,41,350,660,60.828,8.4,11,6,0,74,0,10,19.3,33.5,2016,7,27 +651,4.755,4.431,275785,34,560,970,64.953,10.8,14,8,0,73,0,10,22.4,31.7,2016,7,28 +652,3.854,4.551,227967,38,330,660,62.023,12.6,16,10.7,0,72,0,9.8,23.3,35.2,2016,7,31 +653,3.377,10.731,334240,20,350,660,58.769,9.2,13,4.8,0,90,0,9.8,18.3,35.2,2016,8,1 +654,6.385,8.471,288778,29,260,470,54.389,9.4,12,8,0,84,0,8.4,18.3,33.5,2016,8,2 +655,6.952,5.107,312292,36,290,620,59.415,7.9,12,3.9,0,87,0.51,92,14.3,31.7,2016,8,3 +656,5.872,5.408,321241,26,320,650,58.612,7.2,13.2,2.8,0,79,0,10,14.3,24.1,2016,8,4 +657,4.489,4.904,323158,31,330,770,60.601,9.2,15,4,0,56,0,10,14.3,31.7,2016,8,7 +658,4.64,4.789,296718,36,330,740,61.496,10.8,13,9,0,64,0,0,46.9,66.5,2016,8,8 +659,4.154,4.438,269276,49,370,870,63.84,12.4,17,8,0,65,0,10,33.3,59.4,2016,8,9 +660,4.627,5.34,294068,32,390,950,62.524,9.4,14,4,0,66,0,10,27.6,48.2,2016,8,10 +661,5.421,5.978,261432,46,260,650,57,9.8,14,5,0,66,0,10,20.2,33.5,2016,8,11 +662,5.365,5.732,271096,43,410,800,62.218,11.9,16,7.9,0,68,0,10,17.2,27.8,2016,8,14 +663,3.536,4.552,262585,38,320,760,62.023,12.2,17,9,0,70,0,10,25.6,40.7,2016,8,15 +664,2.85,3.889,277449,38,480,760,62.622,13.8,18,11,0,67,0,9.8,25.6,38.9,2016,8,16 +665,4.166,4.01,279644,49,400,890,62.942,10.7,15,6,0,81,0,10,16.7,40.7,2016,8,17 +666,4.515,4.008,297691,54,440,880,63.312,16.6,20,14.7,0,58,0,10,39.1,64.8,2016,8,18 +667,4.36,4.521,306766,34,380,660,61.24,10.7,14,8.9,0,78,0,9.8,18.5,27.8,2016,8,21 +668,5.902,13.713,310318,28,340,600,53.295,9.6,15,6,0,86,0,9.8,10.7,27.8,2016,8,22 +669,7.211,14.488,292775,27,350,870,54,7.2,13,2,0,74,0,10,9.8,22.2,2016,8,23 +670,7.322,6.587,235076,32,330,690,61.033,8.1,12,5,0,80,0,10,14.6,22.2,2016,8,24 +671,7.276,5.664,331344,34,440,770,60.563,8.2,13,5,0,76,0,10,17.6,33.5,2016,8,25 +672,7.307,4.992,295867,35,440,760,61.396,11.8,18.3,7,0,66,0,0,24.6,33.5,2016,8,28 +673,6.762,5.535,333187,33,320,800,61.591,13.4,18,9,0,58,0,10,22.2,35.2,2016,8,29 +674,5.175,5.716,342432,34,450,860,63.358,13.3,17,12,0,77,0,10,28,48.2,2016,8,30 +675,4.547,5.638,336331,34,400,860,63.091,14.1,19,9.9,0,70,0,9.8,14.4,31.7,2016,8,31 +676,4.337,5.25,351076,40,510,800,62.397,11.3,15,9,0,90,0,8.5,7.2,20.6,2016,9,1 +677,4.447,5.204,311190,40,450,770,61.591,13.2,16,10,0,67,0,10,16.9,25.9,2016,9,4 +678,4.873,5.404,258255,47,350,780,62.16,13.3,17.3,9,0,70,0,10,13.7,25.9,2016,9,5 +679,4.967,5.208,238691,43,350,800,56,13.2,20,7,0,76,0,10,12,20.6,2016,9,6 +680,4.765,5.846,303346,26,330,840,63.312,15.7,20,13,0,65,0,10,31.7,53.5,2016,9,7 +681,4.805,4.625,314318,30,490,820,62.046,18.1,22,14,0,62,0,9.7,36.1,46.5,2016,9,8 +682,5.799,7.657,311978,23,360,650,59.446,11.6,16,9,0,75,0,8.4,14.6,25.9,2016,9,11 +683,5.798,5.551,342733,40,350,690,61.533,10.3,13,9,0,89,0,7.7,9.3,20.6,2016,9,12 +684,5.285,4.537,267952,23,300,650,60.073,11.6,13,10,0,92,0,8.9,13.1,25.9,2016,9,13 +685,3.318,4.565,253441,18,270,550,53.152,10.2,15,7,0,78,0,9.8,25,40.7,2016,9,14 +686,5.327,5.328,273615,18,270,450,53.152,10.6,14,8,0,81,0,9.5,18.1,44.6,2016,9,15 +687,4.525,5.04,343753,43,330,650,60.7,8.7,11,5,0,85,0,9.8,14.6,24.1,2016,9,18 +688,3.84,4.044,365841,33,450,1000,63.358,10.8,15,7,0,65,0,10,16.1,37,2016,9,19 +689,3.476,4.338,339308,29,370,760,61.396,13.3,18,10,0,64,0,10,21.5,38.9,2016,9,20 +690,3.837,4.346,349075,38,360,720,61.24,9.7,11,9,0,87,0,10,23.2,27.8,2016,9,21 +691,3.948,5.407,358562,32,380,740,55,9.5,12,7,0,80,0,10,14.6,27.8,2016,9,22 +692,4.305,4.518,288059,29,370,670,61.24,10.2,14,7,0,72,0,10,14.8,27.8,2016,9,25 +693,4.303,4.744,327217,28,350,720,58.612,10.2,16,5,0,71,0,9.7,13.7,31.7,2016,9,26 +694,5.27,6.917,210444,23,300,590,53.347,10.4,15,7,0,75,0,9.2,19.6,31.7,2016,9,27 +695,5.329,5.593,347807,27,360,740,59.603,14.2,17,11,0,66,0,10,33.2,51.9,2016,9,28 +696,5.824,9.607,398328,31,422.98,845.96,63.091,11.8,15,9,0,79,0,10,14.6,31.7,2016,9,30 +697,5.934,8.68,394396,30,300,610,54.774,15.4,22,9,0,64,0,9.3,36.1,61.1,2016,10,2 +698,5.759,5.525,363677,20,260,490,53.053,12,15,10,0,64,0,10,27,42.4,2016,10,3 +699,5.599,4.694,380550,25,340,570,41,9.9,16,6,0,70,0,9.8,30.4,64.8,2016,10,4 +700,2.526,7.046,195490,30,360,650,62.023,12.7,19,9,0,71,0,10,23,37,2016,10,5 +701,6.384,9.256,247582,27,460,730,60.378,20.1,25,17,0,50,0,10,36.9,48.2,2016,10,6 +702,7.432,5.804,389808,34,340,590,55.847,15.2,20,11,0,65,0,10,36.7,83.5,2016,10,9 +703,7.113,5.019,395208,26,310,660,58.769,9.1,16,5,0,69,0,9.8,26.1,53.5,2016,10,10 +704,5.651,4.973,322883,18,320,560,53.295,10.8,14,5,0,70,0,10,19.3,40.7,2016,10,11 +705,4.985,5.239,350181,34,410,750,60.563,9.1,15,4,0,75,0,9.7,18.1,38.9,2016,10,12 +706,4.577,5.492,343520,34,340,760,60.406,9,14.1,2,0,67,0,10,13.3,24.1,2016,10,13 +707,6.556,10.38,339821,29,290,620,48,12.9,21,7,0,74,0,9.5,19.4,37,2016,10,16 +708,7.465,6.998,329858,24,320,590,52.819,13.4,18,9.9,0,58,0,9.7,22.2,29.4,2016,10,17 +709,6.769,4.929,347406,30,360,690,60.563,8.3,16,3,0,72,0,10,19.8,40.7,2016,10,18 +710,6.71,6.338,273169,29,360,730,62.218,11.1,15,7,0,53,0,0,19.3,53,2016,10,19 +711,5.277,5.326,321799,30,370,770,61.69,16.9,21,14,0,43,0,0,47.6,74.1,2016,10,20 +712,3.936,4.253,324576,20,240,660,58.769,9.9,13,5,0,70,0,9.8,17.8,33.5,2016,10,23 +713,4.472,4.601,334776,29,350,670,61.396,13,15,9,0,66,0,10,18,50,2016,10,24 +714,4.052,5.071,343844,26,340,780,59.797,18.9,23,14,0,44,0,0,29.1,50,2016,10,25 +715,4.53,4.725,350836,37,360,1100,66.797,11.3,19,5,0,84,0,9,13,31.7,2016,10,26 +716,3.781,4.783,374982,41,380,660,60.629,9.8,15,4,0,66,0,10,18,29.4,2016,10,27 +717,3.792,4.661,265250,44,370,670,61.608,13.3,25,6,0,50,0,10,33,64,2016,10,30 +718,5.816,10.241,290343,33,340,720,61.19,11.9,19,6.5,0,66,0,9.8,17.6,37,2016,11,1 +719,7.366,8.025,312313,34,400,700,51,12.8,18,7,0,66,0,10,14.6,25.9,2016,11,2 +720,6.641,5.822,311909,34,530,690,62.145,13.9,21,8,0,67,0,10,13.3,31.7,2016,11,3 +721,5.979,5.554,317380,42,350,780,61.885,17.3,21,14,0,52,0,10,23.9,51.9,2016,11,6 +722,4.905,4.709,308886,26,300,630,57.086,15.4,25,9,0,61,0,10,21.5,55.4,2016,11,7 +723,3.239,4.335,275366,26,350,720,59.545,13.2,18.3,8,0,62,0,9.8,15,25.9,2016,11,8 +724,2.984,3.993,302033,30,340,770,61.24,13,18,9,0,71,0,10,15.6,24.1,2016,11,9 +725,2.994,4.504,297927,40,350,840,62.257,11.8,18,5,0,72,0,10,12.2,20.6,2016,11,10 +726,3.694,3.778,289343,34,422.98,845.96,63.312,16.8,24,11,0,56,0,9.8,27,38.9,2016,11,12 +727,4.587,4.694,306020,37,320,720,61.396,12.6,18,9.8,0,84,0,8.7,28,37,2016,11,13 +728,3.433,3.965,151270,27,260,530,53.106,12.3,17,8.8,0,71,0,10,23.5,37,2016,11,14 +729,3.123,3.676,232501,30,340,720,61.668,13.3,18.1,8.7,0,76,0,10,15.4,25.9,2016,11,15 +730,2.963,3.602,350012,33,340,660,52,15.9,23,11,0,70,0,10,16.5,35.2,2016,11,16 +731,2.981,3.165,349776,37,370,770,61.591,21.9,30,14,0,46,0,8.4,21.3,38.9,2016,11,17 +732,3.01,3.407,272259,31,300,460,54.389,26.3,33.1,21,0,42,0,0,26.1,53.5,2016,11,20 +733,3.015,3.541,295352,37,360,880,64.321,22.4,34.1,13,0,57,0,8.7,20.4,57.6,2016,11,21 +734,2.849,3.572,351523,40,330,910,63.091,12.3,14,10.6,0,90,0,8.4,12,27.8,2016,11,22 +735,2.984,3.851,346530,36,410,820,61.396,10.7,14.1,8,0,75,0,9.7,22.4,38.9,2016,11,23 +736,3.772,4.147,279054,40,470,1100,68.183,12.6,17,9,0,68,0,10,20.4,29.4,2016,11,24 +737,2.949,3.479,265138,44,330,730,61.504,14.2,17,12,0,79,0,9.3,13,20.6,2016,11,27 +738,3.061,3.509,264954,43,440,850,67,14.9,21,10,0,69,0,10,12.2,22.2,2016,11,28 +739,4.01,4.204,261667,39,330,860,63.136,15.4,21,10,0,71,0,9.5,15.6,25.9,2016,11,29 +740,2.958,3.743,306998,40,320,870,63.091,15,19.2,9,0,76,0,10,13.3,24.1,2016,11,30 +741,3.597,4.103,360903,39,340,930,63.155,16.7,24,10.9,0,67,0,10,13,24.1,2016,12,1 +742,5.204,4.975,288576,43,310,750,63.521,23.3,31,15.7,0,50,0,10,28.9,48.2,2016,12,4 +743,5.82,10.091,203027,40,540,1300,68.183,16.2,22,12,0,63,0,10,14.8,27.8,2016,12,5 +744,7.274,13.368,318615,39,490,1200,68.183,14.2,21,8,0,64,0,10,12.2,27.8,2016,12,6 +745,7.373,5.818,321522,44,520,1000,64.477,22.1,28,16,0,31,0,9,25.7,57.6,2016,12,7 +746,5.518,4.608,361701,35,320,680,61.396,14.4,23,8,0,62,0,10,33.2,53.5,2016,12,8 +747,5.368,5.64,324125,46,640,1300,68.183,14.7,27,8,0,66,0,10,14.8,24.1,2016,12,11 +748,5.451,5.124,288885,36,340,950,70,25.7,33,17,0,24,0,0,23,46.5,2016,12,12 +749,3.443,3.998,297419,38,360,900,64.321,24.6,35.2,15,0,34,0,10,25.9,44.6,2016,12,13 +750,3.387,4.042,344684,39,310,940,63.312,14.2,19,9,0,55,0,10,22,33.5,2016,12,14 +751,3.874,4.638,343474,40,340,940,63.155,13.9,23,8,0,62,0,10,19.3,31.7,2016,12,15 +752,4.243,4.371,317555,42,340,760,61.051,13.3,21,5.6,0,50,0,10,20,40.7,2016,12,18 +753,3.538,4.019,289704,40,370,840,63.312,22.9,30,14,0,27,0,8.7,26.1,40.7,2016,12,19 +754,3.785,4.348,334202,40,420,840,63.155,16.4,23,10,0,54,0,10,17.6,29.4,2016,12,20 +755,4.185,4.718,325270,42,550,900,64.477,15.9,20,14,0,61,0,10,21.1,29.4,2016,12,21 +756,4.072,4.405,328625,41,320,950,63.091,16.6,27,12,0,69,0,10,16.5,29.4,2016,12,22 +757,4.073,4.073,296143,42,422.98,845.96,64.164,22.6,32,15,0,53,0,10,13.7,27.8,2016,12,23 +758,4.052,4.51,193270,58,422.98,845.96,63.664,19.4,27.2,17,0,79,0,9.7,12,24.1,2016,12,26 +759,3.256,3.949,198034,50,310,820,61.991,24.1,28,21,0,72,0,9.7,17,48.2,2016,12,27 +760,3.339,3.775,221962,41,540,910,62,30.2,38,26,0,44,0,0,30.9,68.3,2016,12,28 +761,3.727,4.063,249398,26,320,740,61.238,23.8,34,19,0,82,0,8,18,44.6,2016,12,29 +762,3.167,3.966,243256,30,422.98,845.96,63.683,21.2,30,16,0,63,0,10,16.5,27.8,2016,12,30 +763,3.775,4.088,248758,49,260,640,61.76,15.6,18,14,0,72,0,0,20.9,33.5,2017,1,2 +764,3.35,4.002,273805,50,320,790,62.16,17.4,26,15,0,70,0,0,15.4,27.8,2017,1,3 +765,6.518,13.246,315502,38,340,700,61.24,23.7,30,18,0,60,0,0,17.4,27.8,2017,1,4 +766,7.904,18.968,289960,42,330,820,63.169,23.1,33,16,0,60,0,0,15.7,31.7,2017,1,5 +767,7.92,13.169,234544,42,320,740,63.169,21.5,34,17,0,64,0,0,19.4,31.7,2017,1,8 +768,7.913,9.306,273650,39,330,770,62.16,19.5,24,17,0,71,0,0,11.7,18.3,2017,1,9 +769,7.895,6.691,289576,41,380,960,64.32,20.7,29,15,0,63,0,0,16.1,31.7,2017,1,10 +770,7.718,5.659,226540,39,340,830,54,17.9,26,11,0,63,0,0,16.7,37,2017,1,11 +771,7.582,6.369,221330,39,380,920,64.522,22.7,29,18,0,48,0,0,15.2,35.2,2017,1,12 +772,7.387,6.011,208333,49,400,780,62.019,16.7,22,12.7,0,64,0,0,10.7,25.9,2017,1,15 +773,7.477,6.474,210266,37,360,1000,65.374,26,34,19,0,34,0,0,14.3,29.4,2017,1,16 +774,4.182,5.151,257722,46,360,910,65.486,25.1,37.2,14,0,37,0,8.9,19.8,35.2,2017,1,17 +775,2.987,4.138,308029,50,420,1200,67.656,15.7,21,10,0,57,0,51.8,21.7,35.2,2017,1,18 +776,3.119,4.229,330675,37,520,1300,68.82,19.1,25,15,0,61,0,7.7,15.4,38.9,2017,1,19 +777,5.577,6.706,267534,51,270,720,63.393,23.6,31,19,0,58,0,0,13.3,37,2017,1,22 +778,6.693,5.424,258182,46,350,1000,62,26.1,36.4,18,0,45,0,0,21.5,37,2017,1,23 +779,5.975,5.579,307794,36,370,1100,67.656,17,23,10,0,56,0,0,20.9,35.2,2017,1,24 +780,7.04,6.513,290872,55,350,790,61.539,17.9,21.2,16,0,67,0,0,16.7,25.9,2017,1,26 +781,6.926,6.404,254138,55,480,1300,68.82,22.8,28,16,0,55,0,0,17.2,33.5,2017,1,29 +782,5.138,5.337,204002,47,350,820,62.384,21.7,30,15.6,0,55,0,51.8,21.9,51.9,2017,1,30 +783,3.724,4.601,278886,29,460,1000,63.838,17.5,22,12,0,54,0,0,16.1,27.8,2017,1,31 +784,3.624,4.609,285228,45,510,920,65.114,16.4,20.3,10,0,59,0,0,11.9,24.1,2017,2,1 +785,3.479,4.44,291341,47,510,910,65.114,18.2,25,13,0,60,0,0,13.3,31.7,2017,2,2 +786,4.518,5.269,255289,27,770,1300,68.82,25.3,30,19,0,66,0,8.2,20.6,31.7,2017,2,5 +787,5.945,5.635,283990,27,310,610,46,15.4,19,14.6,0,65,0,0,20.7,25.9,2017,2,6 +788,5.292,5.215,277078,38,360,930,64.412,20.3,28,15,0,68,0,0,12.8,42.4,2017,2,7 +789,3.021,4.03,295661,40,360,810,63.051,29.8,35,25,0,40,0,0,43.5,64.8,2017,2,8 +790,3.055,3.994,273697,39,350,670,63.326,22.7,37,16.9,0,71,0,0,19.1,57.6,2017,2,9 +791,5.635,6.172,237793,49,350,810,62.119,15,20,12.9,0,60,0,0,28.5,46.5,2017,2,12 +792,3.532,4.457,264397,45,370,800,62.374,16.2,21,13,0,70,0,0,20.9,35.2,2017,2,13 +793,3.558,4.448,325099,40,490,880,65.114,13.9,22,8,0,68,0,0,15.9,40.7,2017,2,14 +794,4.443,4.629,320327,36,360,920,64.958,22.5,32,16.8,0,46,0,0,21.1,44.6,2017,2,15 +795,4.283,4.488,288086,38,420,990,63.728,17.8,25,11,0,70,0,0,14.1,29.4,2017,2,16 +796,3.007,4.33,287587,42,460,1000,64.523,12.2,17,9,0,73,0,51.5,24.4,38.9,2017,2,19 +797,4.988,5.497,310907,35,330,750,61.396,14.3,21,8,0,62,0,0,19.6,40.7,2017,2,20 +798,4.326,5.284,366068,40,390,930,63.949,17.6,24,11,0,49,0,0,15.2,33.5,2017,2,21 +799,4.285,4.747,349201,41,370,840,66,23.7,33,13,0,34,0,0,23.7,48.2,2017,2,22 +800,5.032,5.844,323395,42,440,950,63.792,19.4,26,15,0,64,0,0,19.3,24.1,2017,2,23 +801,4.421,4.431,305186,46,300,760,61.757,21.6,29,14,0,53,0,0,14.8,44.6,2017,2,26 +802,4.615,5.428,304202,40,410,840,64.801,25.1,33,15,0,36,0,0,15.9,29.4,2017,2,28 +803,4.174,5.128,298728,39,390,1100,67.744,21.8,32.3,12,0,47,0,5.5,11.1,25.9,2017,3,1 +804,3.957,4.711,283244,36,520,940,65.59,20.7,26,17,0,73,0,9.7,18.5,27.8,2017,3,2 +805,3.923,4.222,258740,40,320,790,62.16,20.4,26,17,0,70,0,10,24.3,31.7,2017,3,5 +806,3.694,4.558,240628,38,440,910,64.477,19.1,27,11,0,60,0,10,20.4,37,2017,3,6 +807,4.533,4.342,329796,32,460,1100,67.544,19.3,27,11.8,0,54,0,0,13.7,27.8,2017,3,7 +808,3.36,4.816,256277,35,430,960,65.486,22.4,31,14,0,39,0,0,17,35.2,2017,3,8 +809,3.174,4.521,280493,38,160,1000,68,23.6,32,14,0,36,0,0,12,27.8,2017,3,9 +810,5.469,4.714,318664,29,422.98,845.96,63.728,20.6,27,15.8,0,68,0,10,10.9,22.2,2017,3,10 +811,3.166,3.348,242941,43,310,720,62.16,20.8,26,16,0,73,0,9.8,15.2,27.8,2017,3,13 +812,3.147,4.827,237300,40,550,960,66.354,25.9,32,20.8,0,43,0,0,18.5,40.7,2017,3,14 +813,5.436,6.533,262160,42,520,870,66.354,26.8,34,20,0,43,0,9.7,29.8,48.2,2017,3,15 +814,5.072,4.903,287993,50,600,910,65.59,17.9,23,13,0,66,0,10,20.7,31.7,2017,3,16 +815,4.711,4.894,292123,46,360,820,62.795,25.1,33,18.9,0,42,0,0,13.5,31.7,2017,3,19 +816,3.383,4.404,301248,42,330,850,69,21.9,28.3,18.7,0,83,0,8.4,11.9,29.4,2017,3,20 +817,3.949,4.245,305637,43,350,860,63.728,20.7,27,17,0,89,0,6.9,18.3,29.4,2017,3,21 +818,1.874,4.168,269781,44,440,960,64.412,17.3,21,14,0,83,0,10,23.9,37,2017,3,22 +819,4.805,4.036,271353,58,530,910,65.59,17.4,24,12,0,74,0,10,14.4,27.8,2017,3,23 +820,3.042,4.295,237360,50,520,1100,68.82,22.2,28,19,0,67,0,10,21.1,55.4,2017,3,26 +821,3.746,4.119,252600,41,370,780,62.628,17.1,31,10,0,67,0,9.8,21.9,61.1,2017,3,27 +822,3.172,4.191,250282,46,520,1100,68.82,18.4,24.1,12,0,53,0,10,14.6,27.8,2017,3,28 +823,3.853,4.08,261043,42,200,880,63.995,16.1,27,8,0,58,0,9.2,23.7,46.5,2017,3,29 +824,3.114,4.073,224420,41,420,830,63.995,12.3,18,9,0,67,0,10,17.2,33.5,2017,3,30 +825,3.071,4.069,250990,47,340,1100,71,12.6,0,6,0,62,0,10,22,33.5,2017,4,2 +826,4.878,4.137,263371,43,520,920,65.114,14.1,21,7,0,61,0,10,10.4,16.5,2017,4,3 +827,4.275,4.058,240560,48,530,880,65.114,16.8,25,10,0,48,0,0,14.4,29.4,2017,4,4 +828,4.446,4.091,242268,43,440,920,63.995,18,25,12,0,43,0,0,20.2,33,2017,4,5 +829,3.116,6.464,260517,48,370,980,63.995,19.1,26,11.9,0,36,0,0,19.8,35.2,2017,4,6 +830,5.465,4.703,258211,42,270,760,61.69,11.2,13,9,0,87,0,7.6,27,44.6,2017,4,9 +831,5.964,6.066,284125,39,230,680,61.885,12.2,14,10.9,0,55,0.25,9.8,23,40.7,2017,4,10 +832,5.189,12.893,321321,40,350,890,63.792,14.3,18,10.6,0,53,0,9.7,15.2,27.8,2017,4,11 +833,7.488,6.878,270400,39,360,920,64.32,13.8,19,9,0,50,0,9.8,11.5,14.8,2017,4,12 +834,7.19,6.211,244740,44,340,840,64.256,13.9,18,10,0,83,0,10,9.1,16.5,2017,4,17 +835,5.845,5.393,313001,44,430,810,74,15.4,21,10,0,79,0,5.8,9.8,16,2017,4,18 +836,6.122,5.219,259369,45,370,810,62.569,21.3,26,18,0,49,0,0,26.5,40.7,2017,4,19 +837,5.734,5.13,258002,41,390,810,62.371,20.2,26,15.8,0,57,0,9,21.7,44.6,2017,4,20 +838,3.878,4.941,257330,47,340,720,61.834,17.3,21.1,15,0,83,0,9.5,6.9,22.2,2017,4,23 +839,4.374,4.473,287772,29,200,490,54.389,13.8,18,9,0,79,0,9.3,19.1,35.2,2017,4,25 +840,4.884,6.368,316517,27,170,845.96,61.118,5.8,13,6.5,0,74,0,9.8,23.5,48.2,2017,4,26 +841,6.102,6.053,322863,35,300,540,55.605,11.5,15,10.8,0,75,0,10,15.6,31.7,2017,4,27 +842,6.1,6.794,344321,44,350,620,59.879,13.7,16,10,0,63,0,10,16.5,25,2017,4,30 +843,6.119,6.55,328402,58,320,870,63.728,13,18.3,7,0,74,1.02,10,18,29.4,2017,5,1 +844,6.123,6.12,311566,58,340,1000,67,9.3,14,7,0,74,0,10,15.7,31.7,2017,5,2 +845,4.98,5.69,312726,58,360,780,60.792,9.4,14,4,0,72,0,10,12.6,20.6,2017,5,3 +846,4.776,5.259,317632,58,450,960,63.004,9.9,16,4,0,70,0,0,11.7,22.2,2017,5,4 +847,3.886,4.829,292509,81,310,760,60.891,10,14,6.8,0,73,0,10,18.3,33.5,2017,5,7 +848,4.398,4.399,289568,47,320,740,61.533,11.4,15,9.6,0,89,0,10,13.9,25.9,2017,5,8 +849,4.712,4.603,321937,46,270,990,62.894,11.2,15,6,0,82,0,10,9.6,18.3,2017,5,9 +850,5.368,4.845,219198,44,320,845.96,63.467,10.4,17,4.7,0,78,0,10,12,20.6,2017,5,10 +851,3.668,4.821,320927,45,360,890,62.894,10.4,16,4.9,0,77,0,9,12.6,25.9,2017,5,11 +852,3.993,4.872,361560,50,370,830,62.894,10.5,13.2,6.8,0,87,0,8.9,8.9,14.8,2017,5,14 +853,4.086,4.149,319684,47,340,860,62.894,9.6,15,3.9,0,89,0,9.5,9.3,14.8,2017,5,15 +854,3.89,4.086,300436,49,350,960,70,13.2,18,10.9,0,74,0,10,16.3,29.4,2017,5,16 +855,3.912,3.922,324302,50,370,850,63.728,12.7,15,7.9,0,77,0,0,9.4,15.5,2017,5,17 +856,3.003,4.423,309520,44,370,970,63.728,13.2,19,9,0,75,0,0,7.4,31.7,2017,5,18 +857,4.742,4.541,274613,46,330,910,63.885,13.9,17,11,0,82,0,10,23.3,35.2,2017,5,21 +858,2.966,3.358,291639,48,340,830,63.949,15.8,19,13.7,0,66,0,10,32.4,50,2017,5,22 +859,5.711,4.672,290715,48,370,930,63.885,13.3,18,8,0,76,0,10,21.1,35.2,2017,5,23 +860,6.207,4.209,365619,50,470,990,65.114,13.4,17,11.7,0,67,0,10,16.5,33.5,2017,5,24 +861,7.404,9.051,294876,54,410,910,63.728,13.7,17,11,0,76,0,10,17.8,27.8,2017,5,25 +862,7.755,7.928,321372,53,310,720,57,8,14,4,0,75,0,10,20.2,38.9,2017,5,28 +863,5.836,8.088,321293,54,260,760,61.597,11,14,9,0,68,0,10,23.7,38.9,2017,5,29 +864,5.096,8.575,323423,52,320,810,60.728,7.6,12.1,5,0,76,0,10,21.7,35.2,2017,5,30 +865,5.02,6.232,276919,39.222,330,770,62.032,9.4,12.1,7,0,79,0,10,13.9,27.8,2017,5,31 +866,4.041,5.505,339763,49,380,950,62.257,9.1,13,6.8,0,69,0,10,10.4,16.5,2017,6,1 +867,5.137,4.552,297041,42,330,820,60.7,9.4,15,5,0,73,0,10,11.5,22.2,2017,6,4 +868,4.107,4.847,279777,45,320,840,63.091,11.4,17,7.7,0,77,0,10,18.5,24.1,2017,6,5 +869,5.056,4.868,182092,44,310,780,61.285,9.2,12,5.8,0,77,0,10,15,37,2017,6,6 +870,4.141,4.658,281825,50,330,920,62.257,7.8,13,2.6,0,76,0,10,12.6,20.6,2017,6,7 +871,5.511,5.041,275958,48,360,930,63.136,9.5,15,7,0,86,0,9.3,11.7,27.8,2017,6,8 +872,5.823,4.769,319099,40,422.98,845.96,62.257,9.5,14,6,0,83,0,10,8.3,20.6,2017,6,9 +873,4.67,5.667,350719,50,320,760,60.7,11.4,16.3,5.8,0,80,0,10,12.6,29.4,2017,6,12 +874,4.202,5.43,321571,50,320,860,62.257,7.8,14,2,0,85,0,9.5,9.6,22.2,2017,6,13 +875,5.681,4.774,341991,45,370,930,63.091,11.1,16,8,0,76,0,10,18,29.4,2017,6,14 +876,5.512,5.806,239807,40,370,920,63,11.1,17,6.6,0,76,0,10,18,24.1,2017,6,15 +877,4.648,4.152,284389,57,320,760,60.735,10.4,16,6,0,83,0,10,11.7,24.1,2017,6,18 +878,4.149,5.28,312379,50,260,820,60.7,10.7,15.7,5,0,75,0,10,13.3,25.9,2017,6,19 +879,3.802,4.857,272984,47,370,930,63.248,10.7,15,8,0,75,0,9,23.5,35.2,2017,6,20 +880,2.933,4.41,304183,50,280,840,62.257,8.7,13,2.5,0,85,0,10,9.6,24.1,2017,6,21 +881,4.256,4.049,337139,45,400,890,62.257,9.4,13,6,0,73,0,10,19.3,27.8,2017,6,22 +882,3.489,3.9,298144,50,320,850,62.303,9.8,13,5.6,0,75,0,9.8,15.7,25.9,2017,6,25 +883,4.817,4.181,195587,45,330,960,62.83,9.3,12,6,0,84,0,10,7.6,18.3,2017,6,26 +884,4.381,4.044,246730,48,370,960,58,8.6,10.2,7,0,77,0,10,20.6,27.8,2017,6,27 +885,4.346,4.845,285134,47,300,920,63.091,10.1,14,7.7,0,75,0,10,17.4,24.1,2017,6,28 +886,4.617,5.157,305978,52,310,890,62.414,8.3,12,5,0,77,0,10,18.7,33.5,2017,6,29 +887,6.115,4.151,308145,44,350,820,61.051,7.8,12,3.9,0,49,0,0,27.6,48.2,2017,7,2 +888,5.134,5.889,315481,49,300,830,63.248,10.1,12,8,0,79,0,9.8,24.8,37,2017,7,3 +889,4.324,5.898,195683,37,240,860,63.664,12,16,9,0,75,0,1,18.5,25.9,2017,7,4 +890,4.756,4.74,313468,30,320,910,62.257,8.7,14,3,0,74,0,1,17.4,24.1,2017,7,5 +891,3.563,4.72,341903,48,320,920,63.248,9.4,14,7,0,73,0,1,23.9,35.2,2017,7,6 +892,3.668,4.9,309428,36,300,820,66,8.8,13,5,0,66,0,10,23,31.7,2017,7,9 +893,4.053,3.939,310785,45,310,860,62.303,9.9,15,4,0,72,0,1,14.3,27.8,2017,7,10 +894,4.298,4.112,322189,40,320,880,62.257,7,13,2,0,79,0,1,11.5,24.1,2017,7,11 +895,4.289,4.478,283526,51,340,970,62.414,9,14,5,0,68,0,1,25.7,61.1,2017,7,12 +896,4.778,4.481,348358,40,320,980,63.248,10.4,12,9,0,68,0,10,42.8,55.4,2017,7,13 +897,4.364,4.474,305924,42,340,780,60.856,8.6,11,6.7,0,59,0,101,40.7,51.9,2017,7,16 +898,4.444,4.89,275043,50,340,920,63.293,10.1,14,7,0,70,0,1,31.3,53.5,2017,7,17 +899,3.523,4.592,314661,50,340,1100,66.954,9.8,14,7,0,77,0,1,21.1,33.5,2017,7,18 +900,6.058,4.922,330698,44,340,880,62.414,8.5,11,5,0,83,0,9.5,25,37,2017,7,19 +901,5.623,4.623,342479,44,260,840,60.481,6.1,10,1.7,0,81,0,10,17.4,48.2,2017,7,20 +902,4.283,6.693,284274,46,270,790,60.728,9.2,14,4.8,0,79,0,9.8,19.1,38.9,2017,7,23 +903,3.819,4.942,293730,38,300,890,63.248,10.6,15,8,0,75,0,1,25.6,42.4,2017,7,24 +904,3.828,4.511,312083,43,350,1000,56,12.1,17,9,0,65,0,10,25.7,46.5,2017,7,25 +905,3.376,4.287,315783,36,290,920,62.414,8.3,15,4,0,79,0,10,20.6,37,2017,7,26 +906,5.025,4.619,324973,37,370,920,62.414,9.9,12,6,0,76,0,10,28.2,50,2017,7,27 +907,3.407,3.668,239882,40,220,830,63.052,9.6,17,3,0,62,0,1,16.3,35.2,2017,7,30 +908,4.242,4.646,288137,37,300,800,60.406,7.7,15,3,0,72,0,10,12,20.6,2017,7,31 +909,2.986,3.847,298435,37,270,870,62.257,7.4,14,2,0,78,0,6.8,8.3,14.8,2017,8,1 +910,4.126,4.421,302644,38,340,1000,60.324,5.4,12,1,0,84,0,8.7,9.6,16.5,2017,8,2 +911,3.617,3.895,303115,43,320,900,62.257,6.8,8.1,4,0,93,0,5.1,7.8,14.8,2017,8,3 +912,3.732,3.903,282028,40,330,920,62.414,8.4,12,6,0,74,0,0,24.3,37,2017,8,6 +913,3.663,4.162,285242,37,320,820,60.563,7.7,12,5,0,82,0,0,21.7,35.2,2017,8,7 +914,3.712,4.098,284836,36,330,820,60.406,10.6,14.1,6,0,73,0,0,18.1,21.8,2017,8,8 +915,4.215,4.109,212253,38,360,800,62.023,12.3,16,10,0,69,0,0,45.9,74.1,2017,8,9 +916,5.005,3.566,312287,40,330,830,68,12.9,18,7.7,0,54,0,0,27.6,66.5,2017,8,10 +917,4.044,5.16,292451,34,300,750,61.591,13.9,18,11.6,0,52,0,0,39.4,53.5,2017,8,13 +918,4.164,5.036,264278,41,320,850,63.358,13.7,19,9,0,59,0,0,29.6,51.9,2017,8,14 +919,3.815,4.256,338322,41,350,900,63.248,13.9,17,9.7,0,70,0,0,27.6,55.4,2017,8,15 +920,4.006,4.315,347841,41,360,900,63.312,12.6,17,8,0,55,0,0,31.9,53.5,2017,8,16 +921,3.901,4.306,352555,31,340,870,62.479,9.3,15,5,0,67,0,0,26.5,46.5,2017,8,17 +922,3.783,4.241,320506,30,260,740,60.563,8.5,13,6,0,61,0,0,13.5,33.5,2017,8,20 +923,4.445,4.086,297794,93,320,800,60.735,8.3,12,4,0,71,0,0,20.6,21.8,2017,8,21 +924,4.013,4.607,325069,40,340,850,60,11.9,17,7,0,63,0,0,11,24.1,2017,8,22 +925,3.973,4.517,286574,32,350,880,62.414,9.4,17,4,0,74,0,9.7,18.9,33.5,2017,8,23 +926,4.582,4.219,315745,32,300,780,60.406,7.8,13.1,3,0,77,0,0,14.8,31.1,2017,8,24 +927,5.545,4.341,314119,27,250,660,58.769,5.8,9.2,3,0,80,0,0,18.3,46.5,2017,8,27 +928,4.123,5.25,288283,42,310,740,60.765,7.1,11,3,0,79,0,0,10.2,18.3,2017,8,28 +929,4.403,5.395,289394,42,330,820,60.572,8.8,12,4,0,70,0,0,11.9,24.1,2017,8,29 +930,4.579,4.552,306590,45,370,970,62.257,7,12,1,0,77,0,9.8,13.5,27.8,2017,8,30 +931,4.232,4.563,282173,30,360,950,62.849,7.7,14,2,0,66,0,0,14.1,29.4,2017,8,31 +932,4.54,4.604,281519,36,360,980,63.84,11.2,15,7,0,59,0,10,24.3,40.7,2017,9,3 +933,4.667,4.57,293503,40,460,1000,62.524,7.5,13,4.9,0,56,0,10,30.9,57.6,2017,9,4 +934,5.432,4.641,319247,36,380,930,70,7.8,13,4.8,0,65,0,9.7,29.8,50,2017,9,5 +935,4.573,5.237,254582,30,370,920,62.942,9.6,15,5,0,73,0,10,21.3,38.9,2017,9,6 +936,5.162,5.288,337212,42,420,1000,62.414,10.1,15,6.8,0,75,0,9.8,23.5,37,2017,9,7 +937,4.531,5.459,313190,38,330,830,63.312,11.4,16,8,0,63,0,10,21.5,53.5,2017,9,10 +938,4.261,4.805,326101,43,340,880,63.312,14.3,17,11,0,62,0,10,30.2,50,2017,9,11 +939,4.193,4.646,370055,48,340,940,63.248,14.7,20,9,0,72,0,10,19.1,33.5,2017,9,12 +940,4.188,4.488,304270,27,350,890,62.414,8.5,15,4,0,70,0,10,27.8,44.6,2017,9,13 +941,4.338,4.591,304934,31,480,910,64.477,11.3,14,9,0,67,0,10,22.6,37,2017,9,14 +942,3.815,4.661,321835,24,320,730,59.797,12.7,18,9,0,44,0,0,37,64.8,2017,9,17 +943,4.103,4.4,346073,32,360,920,63.312,13.4,21.2,7,0,49,0,10,31.9,61.1,2017,9,18 +944,3.282,4.161,371725,29,380,1300,67.019,9.3,14,4.9,0,64,0,10,20,35.2,2017,9,19 +945,4.46,4.562,236862,31,480,1100,68.183,14.1,19,11,0,53,0,0,32.8,55.4,2017,9,20 +946,4.314,4.16,301200,35,422.98,845.96,63.312,15.4,23,10,0,60,0,10,20.9,51.9,2017,9,21 +947,4.512,4.208,326495,41,380,860,63.312,14.3,19,9,0,53,0.25,9.2,29.1,57.6,2017,9,24 +948,4.11,5.036,262565,38,422.98,845.96,62.942,8.2,13.4,2,0,78,0,10,17,35.2,2017,9,25 +949,3.587,4.608,320429,40,422.98,845.96,63.312,11.5,16,8,0,56,0,10,10.6,37,2017,9,26 +950,4.898,4.362,339197,38,520,860,64.477,15.7,24,7.5,0,47,0,10,20.2,51.9,2017,9,27 +951,4.525,4.288,233792,46,422.98,845.96,63.84,13.2,17,9,0,52,0,10,25,40.7,2017,9,29 +952,4.324,5.333,283684,50,400,970,62.785,11.9,17,6,0,75,0,9.5,13.3,24.1,2017,10,1 +953,3.803,4.696,274785,45,450,1000,62.895,10.5,19,4,0,73,0,10,11.3,20.6,2017,10,2 +954,4.415,4.341,259801,44,330,900,66,13.3,23,5.5,0,60,0,10,13,24.1,2017,10,3 +955,3.418,4.512,303702,41,380,1000,63.155,20.6,26,17,0,38,0,0,19.5,29.4,2017,10,4 +956,4.603,4.335,343694,44,420,900,63.312,13.1,20,8.6,0,65,0,10,29.3,50,2017,10,5 +957,5.155,4.269,342413,44,320,840,63.312,18.3,25,13,0,66,0,9.8,35,64.5,2017,10,8 +958,4.931,4.901,341127,44,480,845.96,63.643,12.4,19.2,5,0,60,0,10,18.1,40.7,2017,10,9 +959,4.021,5.469,256975,41,480,920,64.953,14.2,20,7,0,49,0,10,15.4,55.4,2017,10,10 +960,4.792,4.816,375692,41,410,880,63.312,14.5,24,7.8,0,61,0,9.7,29.3,63,2017,10,11 +961,4.057,4.551,339797,38,320,790,60.758,13.9,18,5,0,56,0,10,18.1,35.2,2017,10,12 +962,3.729,4.736,298750,44,320,690,55,13.9,23,9,0,73,0,9,11.3,27.5,2017,10,15 +963,4.303,4.426,303516,41,330,900,63.312,20.3,28.1,12.5,0,51,0,0,18.7,38.9,2017,10,16 +964,4.036,4.349,334167,41,370,1000,63.312,21.5,30,12,0,37,0,0,24.6,51.9,2017,10,17 +965,4.179,4.285,279218,40,440,900,63.84,24.7,30,19,0,41,0,10,31.1,46.5,2017,10,18 +966,4.129,4.487,285873,48,350,930,62.942,14.9,25,5,0,73,0,9.7,19.1,38.9,2017,10,19 +967,4.144,4.352,314317,39,400,850,63.091,13.2,16,10,0,75,0,10,15.9,24.1,2017,10,22 +968,4.491,4.167,331802,34,420,850,63.091,14.5,20,9,0,70,0,10,10.2,27.5,2017,10,23 +969,3.267,4.355,293425,37,350,880,63.091,15.5,22,12.7,0,77,0,7.9,10.7,25.9,2017,10,24 +970,3.003,4.241,180460,35,360,770,61.668,13.9,17,11,0,82,0,92,15.4,25.9,2017,10,25 +971,4.127,4.407,304905,45,410,830,63.155,13.5,20,12,0,50,0,10,17.5,29.4,2017,10,26 +972,3.897,4.277,276256,47,340,860,63.84,17.6,28.3,7,0,42,0,9.3,32,57.6,2017,10,29 +973,4.046,4.245,277247,33,340,910,62.942,9.6,15.2,5,0,71,0,10,18.5,42.4,2017,10,30 +974,3.968,4.193,275270,50,320,780,62.032,13,16,11.6,0,66,0,10,16.7,25.9,2017,10,31 +975,3.744,4.185,244846,50,380,790,58,12.9,17,9,0,81,0,92,16.3,24.1,2017,11,1 +976,3.929,4.386,284899,50,470,1000,64.477,11.3,15,8,0,72,0,0,14.1,33.5,2017,11,2 +977,3.049,4.039,237365,52,330,850,63.729,12.1,18,8,0,59,0,0,18.3,29.4,2017,11,5 +978,4.55,3.963,224424,78,330,810,62.547,12.3,15,8.7,0,54,0,0,21.5,33.5,2017,11,7 +979,3.678,3.925,212952,53,460,960,63.774,12.8,18,8,0,71,0,0,11.9,24.1,2017,11,8 +980,5.485,4.036,230159,52,400,940,63.729,15.3,22,10,0,67,0,9.8,13.5,25.9,2017,11,9 +981,4.606,4.211,265386,36,330,950,63.683,19.1,27,11,0,61,0,8.7,13.1,27.8,2017,11,12 +982,4.37,5.706,270370,46,550,1100,68.183,25.4,33,17,0,34,0,0,22,51.9,2017,11,13 +983,4.212,4.506,263309,41,480,1000,65.717,27.6,34,22,0,27,0,0,30.6,51.9,2017,11,14 +984,3.82,5.062,302874,42,440,890,58,21.2,31,16.5,0,62,0,6.8,18.3,51.9,2017,11,15 +985,4.704,4.314,320313,38,350,860,63.091,18.3,23,15,0,83,0,0,14.4,25.9,2017,11,16 +986,3.238,4.197,262783,41,340,900,63.84,21.7,28.1,14.6,0,57,0,0,19.3,37,2017,11,19 +987,3.87,4.198,280668,40,290,900,64.849,23.8,31,14.6,0,47,0,0,19.6,33.5,2017,11,20 +988,3.926,4.258,283348,45,360,1100,67.315,25.1,32,16,0,38,0,0,17,35.2,2017,11,21 +989,3.001,4.231,275802,38,430,940,64.849,23.6,32.4,12,0,33,0,0,16.9,38.9,2017,11,22 +990,4.186,4.444,292177,43,380,890,64.321,24.8,33.1,16,0,39,0,0,19.1,40.7,2017,11,23 +991,2.759,4.161,285816,49,300,870,63.619,19.8,27.5,15,0,78,0.25,8.4,14.8,31.7,2017,11,26 +992,5.087,4.317,284670,50,430,840,53,16.3,22,11,0,73,0,0,14.6,29.4,2017,11,27 +993,4.351,4.398,293724,42,350,890,63.312,24.7,30,18,0,53,0,0,18,44.6,2017,11,28 +994,3.883,4.154,323670,42,360,950,64.321,28.7,35,21,0,37,0,0,23.5,48.2,2017,11,29 +995,3.761,4.253,357342,45,470,1100,68.183,25.7,35.1,20,0,53,0,0,23.2,40.7,2017,11,30 +996,3.935,4.081,328661,13,140,360,53.053,13,15.2,11,0,77,0,9,22.2,37,2017,12,3 +997,3.499,4.366,303007,29,280,590,54.531,13.3,17,10,0,76,0,10,16.5,31.7,2017,12,4 +998,3.921,4.201,352520,29,340,840,63.091,16.5,22,12,0,72,0,10,15.6,31.7,2017,12,5 +999,5.019,4.169,367629,39,350,740,61.533,15.3,22,9.7,0,72,0,10,12.8,25.9,2017,12,6 +1000,5.735,3.977,364181,30,290,650,61.24,15.3,23,9,0,71,0,9.3,17,27.8,2017,12,7 +1001,6.099,9.41,393338,38,360,770,61.24,17.6,23,13,0,67,0,10,14.6,25.9,2017,12,10 +1002,6.015,11.354,331550,33,270,710,54,17.5,21,15,0,64,0,10,15.7,25.9,2017,12,11 +1003,6.007,9.082,350111,35,610,900,65.241,20.8,31,13,0,53,0,10,16.9,38.9,2017,12,12 +1004,5.941,8.745,344578,46,350,820,62.894,28.8,37,20.5,0,23,0,0,24.3,44.6,2017,12,13 +1005,5.059,7.54,341039,36,300,780,61.24,18,24,13,0,65,0,10,17,29.4,2017,12,14 +1006,4.767,6.202,330513,36,340,820,61.24,19.8,25,15,0,72,0,10,14.8,22.2,2017,12,17 +1007,4.758,5.225,319609,32,420,890,64.321,28.7,33,25,0,31,0,0,17,37,2017,12,18 +1008,4.757,5.219,316913,27,360,860,64.321,22.6,38,15,0,56,0,10,22.4,55.4,2017,12,19 +1009,4.67,5.184,322943,27,330,800,59.702,16.2,24,10,0,64,0,10,17.8,33.5,2017,12,20 +1010,4.521,4.697,315431,36,300,860,63.683,18.1,24.1,12,0,63,0,10,12.8,27.8,2017,12,21 +1011,5.411,4.881,269519,37,422.98,845.96,64.849,21.3,31,14,0,47,0,9.3,17.4,33.5,2017,12,23 +1012,4.099,5.369,269727,46,490,810,63.04,23.9,30,17,0,45,0,0,23.2,51.9,2017,12,26 +1013,3.863,4.927,295216,27,290,570,47,28.6,34,23,0,35,0,10,22.2,40.7,2017,12,27 +1014,4.348,4.393,272602,28,290,680,61.192,21.8,32,18,0,70,0,9.8,14.4,38.9,2017,12,28 +1015,4.77,4.176,261361,29,422.98,845.96,63.775,18.2,24,13,0,83,0,9.5,12.6,35.2,2017,12,29 +1016,3.952,4.995,294830,33,280,770,61.866,19.3,26,16,0,59,0,10,17.2,31.7,2018,1,1 +1017,3.683,4.721,264043,35,320,750,61.866,17.2,23,11,0,62,0,10,20.9,31.7,2018,1,2 +1018,3.666,4.322,228976,45,500,880,65.59,17.2,22,12,0,58,0,10,16.3,27.8,2018,1,3 +1019,4.748,3.857,240676,46,670,940,65.59,18.4,24,12,0,65,0,10,12.2,25.9,2018,1,4 +1020,4.083,4.434,281666,39,410,1100,67.486,18.2,21,16,0,74,0,10,13.7,22.2,2018,1,7 +1021,3.66,4.897,263358,47,340,900,64.32,18.7,23,14,0,66,0,10,16.3,24.1,2018,1,8 +1022,3.597,4.263,247567,44,540,970,65.59,17,22,12,0,61,0,10,23.5,35.2,2018,1,9 +1023,5.034,4.023,200216,29,530,890,56,19.7,28,13.9,0,58,0,0,11.9,20.6,2018,1,10 +1024,4.405,4.066,266754,37,360,920,65.486,29.6,35,25,0,26,0,10,22.4,46.5,2018,1,11 +1025,4.091,5.283,219748,32,270,650,61.668,15.9,19,13,0,62,0,9.8,21.1,31.7,2018,1,14 +1026,4.701,4.745,291562,40,330,1100,67.591,16.4,21,11,0,72,0,10,19.1,33.5,2018,1,15 +1027,3.927,4.764,232473,47,340,950,64.32,18.5,26,11,0,59,0,10,16.5,31.7,2018,1,16 +1028,3.747,4.695,243517,38,580,930,66.354,23.6,32,15.5,0,36,0,0,18,42.4,2018,1,17 +1029,4.77,4.3,255588,50,490,990,66.354,32,39,22,0,16,0,0,25.2,46.5,2018,1,18 +1030,6.02,4.029,241014,56,300,780,62.195,23.9,29,18.8,0,68,0,6.9,10.7,20.6,2018,1,21 +1031,5.325,6.195,227807,36,300,790,56,20.6,26,17,0,66,0,10,17.2,29.4,2018,1,22 +1032,4.198,5.502,251943,37,370,910,64.32,19.1,25,13,0,65,0,10,15,29.4,2018,1,23 +1033,4.092,5.355,262035,45,420,920,64.32,20,25,16,0,67,0,10,15.4,27.8,2018,1,24 +1034,4.118,4.419,255015,30,422.98,845.96,65.265,22.9,31,20,0,82,0,5.6,12.8,31.7,2018,1,26 +1035,3.937,4.301,246633,35,350,750,63.227,32.1,38,26.9,0,39,0,0,35.7,57.6,2018,1,28 +1036,4.07,4.142,311694,33,290,810,62.405,21.3,33,14,0,76,0,6.9,23.3,53.5,2018,1,29 +1037,4.132,4.196,315479,20,230,550,53.053,15.3,19,12,0,60,0,10,26.5,38.9,2018,1,30 +1038,3.657,4.174,300483,30,330,810,61.591,14.6,19,9,0,52,0,9.8,26.1,38.9,2018,1,31 +1039,3.006,4.702,307393,49,370,820,61.748,17.3,22,13,0,60,0,10,19.6,37,2018,2,1 +1040,5.868,4.204,281575,44,360,820,62.218,20.8,27,15,0,61,0,10,13.1,24.1,2018,2,4 +1041,4.663,4.444,254419,37,400,800,65,21.1,27,16,0,65,0,10,14.4,25.9,2018,2,5 +1042,6.044,5.409,256599,34,490,920,66.354,23.3,31,15.6,0,56,0,0,13.5,35.2,2018,2,6 +1043,5.547,9.911,198060,31,360,850,65.531,28.1,37,20,0,37,0,0,18.1,33.5,2018,2,7 +1044,5.054,8.081,283600,51,340,890,63.728,22.8,29,19,0,68,0,10,15.2,29.4,2018,2,8 +1045,5.311,6.128,267864,45,610,880,65.59,17.4,22,14.7,0,54,0,10,21.1,33.5,2018,2,11 +1046,4.067,5.761,248735,47,640,1700,68.82,17.6,23,11,0,59,0,10,13.3,24.1,2018,2,12 +1047,4.188,5.629,229126,40,400,1000,64.477,23.8,29.4,17,0,33,0,10,19.8,57.6,2018,2,13 +1048,4.381,5.039,314438,41,550,1000,65.114,16.8,24,9.7,0,40,0,0,23.5,51.9,2018,2,14 +1049,5.264,5.003,300011,39,600,990,65.114,18.7,23.3,13,0,54,0,10,18.7,29.4,2018,2,15 +1050,4.438,4.591,264966,48,340,910,64.256,19.7,26,17,0,72,0,10,19.4,27.8,2018,2,18 +1051,5.71,4.729,272804,50,640,1200,68.82,18.3,26,11.7,0,68,0,10,23.7,44.6,2018,2,19 +1052,5.895,4.658,319073,43,490,920,65.114,21.3,29,14,0,48,0,10,18.5,55.4,2018,2,20 +1053,4.339,7.958,314252,39,350,1100,65,23.1,29,18.7,0,46,0,0,16.7,53.5,2018,2,21 +1054,3.891,5.295,299886,41,330,1100,67.499,23.8,28,19.8,0,60,0,10,11.9,27.8,2018,2,22 +1055,4.05,4.402,301713,50,350,910,63.949,15.4,19,10.7,0,66,0,10,26.1,38.9,2018,2,25 +1056,4.961,4.474,310462,43,310,950,63.949,19.6,26,12.7,0,57,0,0,17,44.6,2018,2,26 +1057,3.551,4.63,288529,38,340,780,62.6,25.2,31,19,0,33,0,0,28.3,55.4,2018,2,27 +1058,5.497,4.406,279514,38,340,900,64.958,20.3,31,15,0,50,0,10,28.5,46.5,2018,2,28 +1059,7.384,3.997,346468,38,340,800,61.24,17.2,21,14.6,0,73,0,10,17,29.4,2018,3,1 +1060,6.032,14.551,318847,46,360,1000,63.792,16.6,21,13,0,55,0,10,19.8,29.4,2018,3,4 +1061,6.625,12.652,294423,38,260,740,60,16.1,20,10.5,0,60,0,10,25.4,35.2,2018,3,5 +1062,6.399,8.021,340930,45,370,980,63.792,18.3,26,11,0,56,0,0,14.1,29.4,2018,3,6 +1063,0.143,6.693,253080,40,360,860,63.995,21.7,30,13.7,0,46,0,0,18.1,33.5,2018,3,7 +1064,0.028,5.869,339219,38,380,940,64.801,21.6,31,12,0,46,0,0,14.3,27.8,2018,3,8 +1065,2.331,4.522,332643,48,422.98,845.96,64.801,21.9,31,13,0,42,0,0,14.3,25.9,2018,3,9 +1066,2.013,4.192,320902,43,340,860,63.949,16.6,20,13,0,64,0,10,21.1,33.5,2018,3,12 +1067,2.056,4.181,297998,38,330,810,61.24,16.7,21.3,13,0,64,0,10,15.7,29.4,2018,3,13 +1068,4.443,4.146,312583,39,360,800,61.591,16.9,22,13,0,65,0,10,11.7,22.2,2018,3,14 +1069,7.102,4.751,284939,68,350,840,63.728,15.8,21,11,0,69,0,10,13.9,25.9,2018,3,15 +1070,6.607,4.805,303374,49,360,890,63.949,16.8,22,11,0,34,0,10,26.7,53.5,2018,3,18 +1071,6.809,5.435,280064,43,310,760,61.728,19.4,28,14.7,0,52,0,10,18.9,31.7,2018,3,19 +1072,5.589,5.339,323207,52,540,1500,68.82,14.1,18,9,0,55,0,10,26.3,40.7,2018,3,20 +1073,7.695,5.607,256047,45,400,1200,78,16.8,26,10,0,56,0,0,12.6,27.8,2018,3,21 +1074,5.749,7.645,299212,47,510,1300,68.82,21.1,28,15,0,42,0,0,17.8,42.4,2018,3,22 +1075,5.438,6.917,326326,38,600,960,65.114,16,25,9,0,50,0,9.3,32,44.6,2018,3,25 +1076,5,5.122,386087,43,350,940,63.949,12.7,19,7.9,0,65,0,10,23.7,40.7,2018,3,26 +1077,5.05,5.755,383882,40,340,960,63.949,19.1,23,15.6,0,38,0,0,30.4,53.5,2018,3,27 +1078,4.303,5.38,385023,46,340,920,63.949,20.2,30,15,0,54,0,10,16.9,35.2,2018,3,28 +1079,4.026,4.686,304303,41,422.98,845.96,63.792,16.9,24,11,0,64,0,10,14.3,27.8,2018,3,30 +1080,4.742,4.535,316841,49,340,890,63,16.2,21,11,0,66,0,10,14.3,24.1,2018,4,2 +1081,4.662,4.602,345170,51,330,930,63.792,15.8,20,12,0,66,0,10,10.4,18.3,2018,4,3 +1082,3.057,4.841,361080,43,360,1100,67.434,16.2,23,12,0,72,0,10,10.6,22.2,2018,4,4 +1083,4.95,4.885,373131,46,360,1000,63.728,15.6,20,12,0,73,0,10,9.8,22.2,2018,4,5 +1084,4.661,4.14,343579,50,330,880,63.949,21.9,30.1,12.7,0,38,0,0,17.8,46.5,2018,4,8 +1085,3.026,5.372,335682,38,370,1100,67.656,19.3,26,13,0,56,0,10,15,53.5,2018,4,9 +1086,4.406,4.266,329495,39,422.98,845.96,63.949,22.7,28,17,0,44,0,10,22.8,38.9,2018,4,10 +1087,4.034,4.125,224909,49,370,920,64.522,21.4,30,15.4,1010.5,53,0.25,11.6,16.7,35,2018,4,11 +1088,5.863,4.225,302386,35,460,1100,67.544,17.6,28,10,0,54,0,10,16.7,27.8,2018,4,12 +1089,4.848,8.777,269376,39,310,840,64.412,16.5,20,14.8,0,70,0,10,23.2,44.6,2018,4,15 +1090,4.499,6.299,218684,41,300,980,63.995,14.8,22,11,0,62,0,10,24.3,40.7,2018,4,16 +1091,3.961,5.247,168264,50,350,940,62.94,10.1,16,3.7,0,68,0,10,13.7,25.9,2018,4,17 +1092,3.035,4.69,173441,34,710,1500,77,14.3,23.2,9,0,63,0,0,13.5,29.4,2018,4,18 +1093,4.166,4.217,179307,43,410,990,63.838,14,24,7,0,60,0,9.8,11.3,22.2,2018,4,19 +1094,3.032,3.982,180832,46,320,810,61.504,14.7,23,7.8,0,80,0,6,8.5,16.5,2018,4,22 +1095,3.049,3.78,303770,43,360,880,63.949,21.6,28,14,0,35,0,0,28.2,46.5,2018,4,23 +1096,4.402,3.494,302053,52,370,870,63.728,14.9,21,9,0,71,0,10,13,22.2,2018,4,25 +1097,3.039,4.384,319048,39,460,940,63.838,12.8,18,8,0,71,0,10,13.1,27.8,2018,4,26 +1098,3.398,4.035,263403,44,340,710,62.032,12.2,18,8,0,81,0,10,12,24.1,2018,4,29 +1099,3.065,3.979,306663,40,340,820,60.766,12.6,20,6,0,57,0,10,13,24.1,2018,4,30 +1100,3.709,3.74,319098,40,310,850,54,17.9,23,13,0,32,0,0,22.6,35.2,2018,5,1 +1101,4.915,3.684,313327,40,350,670,61.885,15.1,23,14.6,0,40,0,0,27.4,48.2,2018,5,2 +1102,3.73,4.255,288646,45,490,880,65.114,17.2,25,10,0,48,2.03,9.7,25.9,50,2018,5,3 +1103,3.821,4.899,302958,50,350,1100,67.656,14.9,20.1,10,0,60,0,10,18.5,46.5,2018,5,6 +1104,4.228,4.14,296588,46,350,1000,63.949,15.6,19,11,0,53,0,10,22,37,2018,5,7 +1105,4.043,3.954,291266,50,490,1200,68.82,11.5,15,7,0,70,0,10,13.9,24.1,2018,5,8 +1106,3.082,4.653,330347,39,500,1300,68.82,12.9,15,6.5,0,60,0,9.2,21.5,35.2,2018,5,9 +1107,3.087,3.927,370243,43,340,950,61.118,5.5,12,6,0,77,0,5.5,24.5,46.2,2018,5,10 +1108,4.354,3.758,236521,50,300,790,60.994,11.1,16,6,0,54,0,9,15,27.8,2018,5,13 +1109,3.058,3.816,260440,18,350,850,62.94,11.3,15,5,0,79,0,10,10.7,18.3,2018,5,14 +1110,4.155,4.301,269052,29,340,920,68,10.1,14,7,0,50,1.02,9.5,15.9,35.2,2018,5,15 +1111,3.062,4.19,262713,41,360,900,64.32,10.7,13,9,0,67,0,10,14.3,20.6,2018,5,16 +1112,3.074,3.741,268245,50,360,960,64.256,12.7,14,11,0,79,0,10,14.4,27.5,2018,5,17 +1113,4.045,3.675,309405,40,340,770,61.533,13.5,16,10,0,77,0,9.7,21.5,31.7,2018,5,20 +1114,3.028,3.745,293593,42,380,790,61.69,13.3,15,11.8,0,76,0,10,22,31.7,2018,5,21 +1115,3.68,3.884,311403,36,350,1000,63.792,12.9,16,10,0,56,0,9.7,18.1,31.7,2018,5,22 +1116,3.841,3.679,232384,35,340,930,64.301,12.7,14,11.7,0,74,0,10,16.3,27.5,2018,5,23 +1117,2.961,3.966,342567,41,350,1100,67.434,12.4,15.1,10,0,73,0,10,12.2,25.9,2018,5,24 +1118,2.972,3.864,296912,50,260,720,49,15.8,20,13.6,0,57,0,10,31.7,44.6,2018,5,27 +1119,3.658,3.709,304357,48,310,810,61.757,15.9,21,12,0,54,0,10,34.5,46.5,2018,5,28 +1120,2.953,3.639,270284,45,320,920,63.643,10.7,16,5,0,66,0,10,16.1,37,2018,5,29 +1121,3.968,3.675,255398,40,370,970,63.532,11.1,15,5,0,66,0,10,22.5,29.4,2018,5,30 +1122,2.963,3.609,271012,27,340,900,62.94,7.8,14,3,0,75,0,10,13.7,31.7,2018,5,31 +1123,4.112,4.046,252658,38,320,400,58.089,9.1,13,5,0,87,0,9.8,10.9,14.8,2018,6,3 +1124,3.688,3.925,259956,31,430,1100,66.849,10.8,14.1,8.8,0,85,0,9.7,10.4,16.5,2018,6,4 +1125,3.513,4.175,276357,27,430,980,63.091,11.3,15,7,0,81,0,10,10,16.5,2018,6,5 +1126,4.182,3.957,293012,34,390,1000,63.312,12.8,18,7,0,61,0,10,21.3,46.5,2018,6,6 +1127,2.974,3.857,255255,35,430,1200,67.07,14.2,16,12,0,61,0,10,36.3,57.6,2018,6,7 +1128,3.485,3.788,238215,38,422.98,845.96,63.775,11.4,13,9,0,86,0,10,19.1,37,2018,6,8 +1129,3.539,3.677,227780,41,330,910,63.821,12.6,16,10,0,70,0,10,36.3,48.2,2018,6,11 +1130,2.987,3.838,176208,34,330,930,63.821,11.3,15,7,0,73,0,10,21.7,38.9,2018,6,12 +1131,3.053,4.057,328442,31,300,1100,66.954,9.6,13,7,0,77,0,10,22.6,35.2,2018,6,13 +1132,4.417,3.852,360953,29,410,800,52,11,13,9,0,68,0,10,31.9,55.4,2018,6,14 +1133,2.985,3.162,312384,23,240,560,53.295,9.3,12,8,0,93,0,8.7,26.1,44.6,2018,6,17 +1134,3.522,4.009,337634,29,300,720,60.406,6.3,11,1.9,0,89,0,9.5,10.2,20.6,2018,6,18 +1135,3.691,3.94,295037,42,340,790,60.7,7.4,13,3,0,76,0,10,13,29.4,2018,6,19 +1136,3.555,3.663,334475,38,320,780,60.406,8,14,3,0,75,0,10,18.9,29.4,2018,6,20 +1137,3.017,3.801,280133,33,320,970,62.257,8,15,3,0,71,0,10,13.9,22.2,2018,6,21 +1138,3.674,3.864,267323,35,320,790,61.033,9.1,12,6,0,67,0,10,12.2,24.1,2018,6,24 +1139,3.038,3.727,241117,30,340,1000,63.136,9.6,12,8,0,80,0,10,4.3,13,2018,6,25 +1140,3.798,3.698,241714,45,450,790,56,7.8,14,3,0,86,0,7.4,8,14.8,2018,6,26 +1141,3.889,3.726,274864,46,560,1000,63.643,6.8,13,2.5,0,88,0,4.2,7,13,2018,6,27 +1142,3.048,4.255,258832,38,550,890,64.12,8.2,10,5,0,88,0,9.2,14.3,35.2,2018,6,28 +1143,3.076,3.738,197054,36,340,870,62.83,7.1,14,2,0,74,0,10,15.4,24.1,2018,7,1 +1144,4.54,4.004,196853,41,360,1100,67.115,9.1,14,6,0,67,0,10,29.1,57.6,2018,7,2 +1145,1.743,3.106,222667,38,420,1000,62.987,10.8,14,5.4,0,68,0,10,38.7,53.5,2018,7,3 +1146,5.076,4.353,219809,32,500,1100,68.183,12.9,16,9.1,0,62,0,10,49.1,63,2018,7,4 +1147,2.989,3.657,225159,47,590,1200,68.183,14.4,18,9,0,57,0,10,30,53.5,2018,7,5 +1148,3.725,3.851,259038,53,320,820,65,10.5,13,8,0,77,0,9.5,27,44.6,2018,7,8 +1149,2.981,3.788,257045,54,290,930,62.303,9.6,13,6,0,73,0,10,15.4,27.8,2018,7,9 +1150,3.863,3.785,263663,54,270,920,62.524,8.1,11,4.9,0,66,0,10,15.9,40.7,2018,7,10 +1151,6.021,3.87,249311,52,350,960,62.987,6.7,10,2.7,0,76,0,10,14.6,38.9,2018,7,11 +1152,5.055,3.977,261481,52,330,930,62.849,7.9,12,6,0,55,0,10,9.6,13,2018,7,12 +1153,3.558,6.92,210059,53,320,850,63.052,8.5,12,6,0,60,0,10,40.2,53.5,2018,7,15 +1154,5.485,4.721,239570,46,330,830,63.052,9,13,6,0,61,0,10,37.2,51.9,2018,7,16 +1155,3.1,4.287,241046,49,330,850,62.524,9.1,16,5,0,66,0,9.5,35.7,63,2018,7,17 +1156,6.215,5.224,243416,49,310,1000,63.006,10.2,14,6.7,0,57,0,10,33.2,51.9,2018,7,18 +1157,5.844,4.032,267608,44,350,1100,67.07,9.3,17,5,0,66,0,10,20.7,40.7,2018,7,19 +1158,3.622,6.751,227613,49,280,850,63.052,9,13,6,0,55,0,10,36.5,63,2018,7,22 +1159,4.117,5.459,286788,47,320,940,63.84,9.3,13,7,0,65,0,10,41.1,66.5,2018,7,23 +1160,3.513,4.107,362730,26,320,1000,63,10.1,16,6,0,74,0,10,27.5,53.5,2018,7,24 +1161,3.391,4.077,309158,40,330,820,60.728,10.2,14,5,0,78,0,10,24.6,37,2018,7,26 +1162,3.954,4.09,309731,35,290,770,60.563,9,14,6.5,0,69,0,10,25.7,50,2018,7,29 +1163,3.019,3.896,289943,35,320,820,60.563,9.4,12,6,0,65,0,10,30.4,51.9,2018,7,30 +1164,3.65,3.777,260510,35,330,1000,63.885,10.7,15,7,0,66,0,9.7,22.6,38.9,2018,7,31 +1165,3.61,3.873,285437,36,340,890,62.942,9.2,15,4,0,70,0,10,15.4,35.2,2018,8,1 +1166,3.385,3.691,297410,40,360,930,63.312,11.4,15,8,0,56,0,10,35.9,66.5,2018,8,2 +1167,3.917,4.087,251865,42,330,820,62.512,12.3,16,7.6,0,50,0,10,34.8,51.9,2018,8,5 +1168,4.433,3.827,331653,50,360,1100,67.019,8.5,13,5,0,65,0,10,23.5,35.2,2018,8,6 +1169,3.654,3.921,325329,44,360,900,63.312,10.9,13,9,0,61,0,10,32.4,48.2,2018,8,7 +1170,3.871,4.452,202616,40,422.98,845.96,62.83,8.7,16,3,0,74,0,10,20.7,31.7,2018,8,8 +1171,3.617,4.151,263932,47,340,890,61,10.4,13,8.5,0,62,0,10,38.2,63,2018,8,9 +1172,3.046,4.136,343442,37,310,790,61.396,11.3,14,9.9,0,63,0,10,22.2,35.2,2018,8,12 +1173,4.157,4.079,351710,37,300,1000,63.248,10.8,15,6.9,0,71,0,10,22.2,35.2,2018,8,13 +1174,4.318,3.989,344121,45,330,950,63.312,13.5,16,11,0,51,0,10,40.4,53.5,2018,8,14 +1175,3.442,3.585,325419,40,360,1100,67.019,11.1,18,5,0,56,0,10,24.3,46.5,2018,8,15 +1176,3.521,4.765,299944,37,430,990,62.322,9.3,14,6,0,61,0,10,19.1,29.4,2018,8,16 +1177,3.602,3.946,272606,29,290,670,60.662,6.8,12,4,0,76,0,10,24.1,46.5,2018,8,19 +1178,3.582,3.837,251888,29,280,760,60.406,8.9,11,6,0,73,0,9.8,20.6,31.7,2018,8,20 +1179,4.401,3.962,252906,41,350,810,55,8.8,12,6,0,79,0,9.8,15,24.1,2018,8,21 +1180,3.025,3.972,349091,41,380,970,62.257,9.1,13,4,0,69,0,10,14.1,24.1,2018,8,22 +1181,3.041,3.952,343612,36,390,1100,66.862,9.7,16,2,0,64,0,10,13.1,20.6,2018,8,23 +1182,4.204,3.889,288798,47,290,850,62.414,8.7,14,3,0,77,0,9.8,13.7,33.5,2018,8,26 +1183,2.959,3.867,256927,41,340,940,60.897,6.2,12,0,0,71,0,10,14.6,31.7,2018,8,27 +1184,3.719,3.864,308827,50,410,1100,64.864,4.7,11,-2,0,68,0,10,10.2,18.3,2018,8,28 +1185,3.538,3.893,321713,48,350,1000,62.479,8.5,14,3,0,50,0,10,17.6,42.4,2018,8,29 +1186,3.03,3.968,322896,38,330,990,63.312,11.1,14,7,0,41,0,10,29.4,51.9,2018,8,30 +1187,3.023,3.837,283637,42,360,950,62.257,7.3,12,3,0,77,0,10,12.8,27.8,2018,9,2 +1188,3.046,3.968,279421,43,360,1200,66.797,7.3,13,2,0,73,0,10,13,22.2,2018,9,3 +1189,4.503,3.809,308352,40,370,1100,68,11.7,18,5,0,57,0,10,16.5,38.9,2018,9,4 +1190,3.001,3.177,306308,39,350,990,63.312,14.4,18.3,9,0,54,0,10,28.3,46.5,2018,9,5 +1191,3.018,4.566,312529,36,390,980,62.414,12.4,19,5.8,0,71,0,10,23.2,50,2018,9,6 +1192,3.032,3.837,282721,45,370,860,63.84,13.9,18,10,0,66,0,10,18.5,40.7,2018,9,9 +1193,3.034,3.433,266473,37,320,1100,67.005,13.7,18,10,0,71,0,10,16.5,55.4,2018,9,10 +1194,4.068,3.334,286478,39,350,990,63.84,17.1,23.1,7.9,0,43,0,10,30.2,55.4,2018,9,11 +1195,3.549,3.944,180103,36,300,890,62.895,11.5,18,6,0,50,0,0,17.8,27.8,2018,9,12 +1196,3.037,3.906,329608,28,320,880,63.312,13.3,19,8,0,50,0,0,23.3,40.7,2018,9,13 +1197,3.914,3.849,194980,36,360,740,61.033,8.7,14,3,0,60,0,13.7,19.1,29.4,2018,9,16 +1198,3.011,3.996,286556,32,340,970,63.312,13.6,16,12,0,40,0,0,33.3,42.4,2018,9,17 +1199,3.873,3.894,314730,37,380,1100,66.797,8.4,12,5,0,79,0,10,12.4,25.9,2018,9,18 +1200,3.38,3.943,299107,35,422.98,845.96,62.414,8.4,15,3,0,68,3.3,11.6,15.7,42.4,2018,9,19 +1201,3.514,3.916,289956,36,350,990,62,10.7,16.7,2.3,1022,61,0,15.8,12.8,18.3,2018,9,20 +1202,3.549,3.79,309039,39,380,980,62.479,8.6,12,4,0,65,0,10,20.4,33.5,2018,9,23 +1203,3,3.822,315225,48,340,920,63.091,9.7,11,9,0,77,0,10,18.9,22.2,2018,9,24 +1204,3.568,3.859,296995,35,360,980,62.257,7.8,14,3,0,71,0,10,15.2,27.8,2018,9,25 +1205,3.684,3.673,306442,41,360,910,63.312,12.9,19,7,0,45,0,0,18.3,55.4,2018,9,26 +1206,4.49,3.972,270158,39,422.98,845.96,62.942,8.3,15,3,0,71,0.51,10,20.4,35.2,2018,9,28 +1207,3.728,4.112,270662,44,300,790,60.671,9.6,16.4,3,0,66,0,10,12.4,25.9,2018,9,30 +1208,1.516,4.315,262951,35,300,830,62.849,15.5,23,3.1,0,41,0,0,12.6,25.9,2018,10,1 +1209,4.69,4.451,267439,44,410,1000,63,20.3,25.9,10.3,0,35,0,10,22.2,38.9,2018,10,2 +1210,6.069,8.48,202227,41,310,1100,66.958,12.7,17,10,0,63,0,10,20.9,29.4,2018,10,3 +1211,5.596,8.186,285451,40,260,900,62.257,10.9,15.2,5.8,0,70,0,10,17.2,29.4,2018,10,4 +1212,4.194,5.859,294926,36,360,900,63.155,17.6,25,11,0,49,0,0,10.6,25.9,2018,10,7 +1213,4.422,4.741,301067,35,340,845.96,63.155,19.7,27,14,0,47,0,10,8,24.1,2018,10,8 +1214,4.321,4.909,283531,44,370,960,63.248,12.2,16,9,0,81,0,10,23.3,38.9,2018,10,9 +1215,3.161,5.003,158404,46,340,920,63.052,9.9,16.1,3.6,0,63,0,10,25,42.4,2018,10,10 +1216,6.998,4.442,245403,38,330,870,62.895,12.5,19.5,6,0,63,0,0,13.9,27.8,2018,10,11 +1217,7.119,3.81,283352,43,320,780,70,21.4,27,10.2,0,43,0,10,29.6,46.5,2018,10,14 +1218,6.041,7.749,261013,49,340,1200,67.07,23.4,27,18,0,40,0,10,34.6,48.2,2018,10,15 +1219,5.093,9.105,323494,47,350,960,63.248,17.3,22.2,14.7,0,79,0,10,25,42.4,2018,10,16 +1220,5.044,5.83,222837,45,340,850,63.885,17,21,13.8,0,67,2.29,10,19.8,33.5,2018,10,17 +1221,3.88,5.686,303182,41,340,880,63.248,15.9,21.3,10,0,68,0.25,10,19.4,42.4,2018,10,18 +1222,4.044,5.362,333262,45,340,820,60.856,13.7,21,6.4,0,60,0,10,16.3,46.5,2018,10,21 +1223,3.031,4.915,322831,31,370,940,63.312,18.2,27,7.7,0,47,0,10,25,46.5,2018,10,22 +1224,3.881,4.774,293890,43,350,1100,67.019,11.4,21.1,5,0,67,0,10.8,18.7,33.5,2018,10,23 +1225,4.19,4.624,219686,42,310,1200,66.958,10.7,16.6,4.7,0,63,0,10,18.1,29.4,2018,10,24 +1226,4.443,4.311,341987,42,350,1000,62.479,12.7,22.3,4.8,0,59,0,10,14.3,33.5,2018,10,25 +1227,5.387,4.783,309304,50,330,810,61.6,12.1,17.2,8.3,0,54,0,10,18.9,27.8,2018,10,28 +1228,4.055,4.848,304860,37,330,930,62.322,12.6,21,6,0,62,0,0,13.5,22.2,2018,10,29 +1229,3.614,5.922,300185,40,350,1100,66,17.7,26.9,5.9,0,53,0,10,11.5,25.9,2018,10,30 +1230,5.008,5.065,278652,25,422.98,845.96,63.619,15.3,21,11,0,77,0,10,12.2,20.6,2018,10,31 +1231,4.125,4.136,234241,27,422.98,845.96,64.849,27.4,34,20,0,28,0,0,25.4,50,2018,11,1 +1232,3.053,4.955,270214,39,422.98,845.96,63.683,17.7,24,14,0,55,0,0,12.4,27.8,2018,11,4 +1233,4.118,4.384,240673,21,422.98,845.96,62.785,14.7,21,5,0,75,0,51.5,13,27.8,2018,11,6 +1234,3.973,4.272,330795,35,422.98,845.96,62.479,10.3,16,6,0,62,0,0,21.5,45.2,2018,11,7 +1235,3.798,4.744,300619,33,320,760,61.24,12,17.1,6.9,0,59,0,0,16.7,27.8,2018,11,8 +1236,3.85,4.489,275148,35,340,830,63.155,24.4,29,20,0,25,0,0,22,31.7,2018,11,12 +1237,4.109,4.388,316940,41,310,920,62.322,12.3,17.1,6,0,64,0,0,19.5,31.7,2018,11,15 +1238,3.077,4.219,279823,39,350,910,60.388,0,0,0,0,0,0,0,0,0,2018,11,18 +1239,6.624,4.734,282413,31,320,1100,64.928,0,0,0,0,0,0,0,0,0,2018,11,19 +1240,7.579,4.738,305587,34,310,1000,60.388,0,0,0,0,0,0,0,0,0,2018,11,20 +1241,6.239,10.888,315000,28,280,680,59.603,12.5,14,11,0,67,0,0,28.9,42.4,2018,11,22 +1242,4.389,6.805,303537,30,330,720,61.24,14.4,19,11,0,78,0,0,16.3,31.7,2018,11,25 +1243,3.385,5.644,291143,35,340,930,63,15.5,19,13,0,71,0,0,15,25.9,2018,11,26 +1244,3.431,5.341,296543,31,300,900,63.248,16.6,20.1,14,0,75,0,0,22,35.2,2018,11,27 +1245,4.827,4.518,335973,43,340,960,63.312,15.6,20.3,13,0,50,0,51.3,25,35.9,2018,11,28 +1246,3.963,5.076,349363,44,340,940,63.091,15.9,20,14,0,74,0,0,17.6,25.9,2018,11,29 +1247,5.489,4.907,291902,25,290,1200,67.019,14.7,19,11,0,52,0,10,24.4,38.9,2018,12,2 +1248,4.559,4.637,313630,46,320,820,61.69,16.4,23,12,0,64,0,10,25.6,40.7,2018,12,3 +1249,4.57,5.068,324791,45,330,920,63.091,16.1,20,12,0,68,0,10,15.6,24.1,2018,12,4 +1250,5.056,5.941,292929,38,330,870,63.312,19.1,28,12.6,0,63,0,0,15.7,42.4,2018,12,5 +1251,5.095,9.77,277937,27,360,870,64.321,29.4,35,25,0,29,0,0,30.4,51.9,2018,12,6 +1252,3.846,6.157,292278,56,330,920,63.136,16.8,21,14,0,79,0,10,11.9,27.8,2018,12,9 +1253,5.372,5.004,292526,47,390,930,69,16.3,21,11.5,0,68,0,10,15.9,29.4,2018,12,10 +1254,6.027,4.592,371224,40,350,1100,67.019,19.2,28,13,0,66,0,10,16.9,42.4,2018,12,11 +1255,6.028,6.037,326261,34,320,990,64.321,24.6,33,15.6,0,51,0,9.2,20.9,40.7,2018,12,12 +1256,6.037,6.426,306734,23,300,740,59.603,16.6,20,14,0,87,0,8.9,17.4,38.9,2018,12,13 +1257,3.539,6.058,327745,32,230,640,60.839,17.8,23,14,0,77,0,10,15,38.9,2018,12,16 +1258,3.003,5.995,305813,30,290,750,61.24,17.6,22,15,0,76,0,10,16.7,25.9,2018,12,17 +1259,3.021,5.159,259978,35,330,970,63.136,17.9,22,16,0,77,0,10,15,24.1,2018,12,18 +1260,3.024,4.703,332033,32,330,890,63.091,20.1,26,14.8,0,73,0,9.5,8.5,18.3,2018,12,19 +1261,3.028,4.441,325807,32,360,850,63.248,15.9,20.3,12.7,0,81,0,9.2,21.7,33.5,2018,12,20 +1262,3.027,4.433,243707,68,330,930,64.366,18.5,22,16,0,55,0,10,18.7,27.8,2019,1,6 +1263,3.023,4.599,274646,34,320,970,63.792,19.2,24,15.9,0,66,0,10,15,27.8,2019,1,7 +1264,3.03,4.496,263962,32,310,810,62.023,19,26,14,0,65,0,10,19.4,33.5,2019,1,8 +1265,5.063,4.447,253436,33,340,810,60,15.4,20,9,0,56,0,10,16.7,31.7,2019,1,9 +1266,5.485,4.487,254959,35,350,850,64.32,16.8,22,11,0,59,0,10,14.8,25.9,2019,1,10 +1267,5.345,4.463,252191,39,280,720,61.632,22.1,29,16.9,0,59,0,0,18.5,31.7,2019,1,13 +1268,7.635,17.36,248053,35,300,810,63.07,25.6,38,16,0,55,0,0,14.1,31.7,2019,1,14 +1269,6.765,11.692,275338,29,330,860,64.801,25.8,37,16.9,0,47,0,10,11.7,27.8,2019,1,15 +1270,7.308,6.829,313894,34,360,880,63.792,23.6,30,19.9,0,59,0,10,10.6,29.4,2019,1,16 +1271,7.036,5.639,282407,36,350,880,65.004,27.8,37,21,0,44,0,10,16.3,46.5,2019,1,17 +1272,5.47,5.351,240626,34,300,710,61.866,20.1,24,17.8,0,73,0,10,17.2,25.9,2019,1,20 +1273,7.561,5.075,276750,35,320,760,58,21.9,29,18,0,70,0,10,12.4,27.8,2019,1,21 +1274,6.881,5.357,302437,39,370,1000,63.792,22.7,30.2,16,0,66,0,10,15.7,24.1,2019,1,22 +1275,6.111,6.44,276811,37,370,870,63.728,20.6,26,16,0,68,0,10,16.7,29.4,2019,1,23 +1276,7.105,5.954,300545,41,422.98,845.96,63.949,26.2,0,17,0,48,0,10,23,48.2,2019,1,25 +1277,7.592,5.973,244382,49,260,680,63.393,23.2,35,15,0,47,0,10,16.9,38.9,2019,1,28 +1278,6.854,8.016,252484,45,310,870,65.004,23.8,38,15,0,47,0,10,17.8,40.7,2019,1,29 +1279,4.037,10.761,270466,36,320,880,64.958,25.4,39,16,0,47,0,10,25.9,53.5,2019,1,30 +1280,6.517,7.265,266159,41,320,870,64.477,16.3,21,11,0,48,0,10,26.9,40.7,2019,1,31 +1281,5.701,5.969,278044,44,330,800,62.993,24.9,41,17,0,50,0,10,21.1,33.5,2019,2,3 +1282,5.941,5.4,267477,39,280,800,65,18.7,22,17,0,70,0,10,24.6,31.7,2019,2,4 +1283,5.328,5.127,289915,36,360,940,63.728,20.1,26,16,0,76,0,89,12.6,20.6,2019,2,5 +1284,5.274,5.291,280760,31,360,920,64.958,25.4,35,20,0,60,0,9.7,16.9,57.6,2019,2,6 +1285,5.241,4.958,298288,36,350,840,63.728,22.4,30,16.8,0,72,0,9.7,15.6,24.1,2019,2,7 +1286,4.972,5.928,260472,44,300,780,61.533,17.7,24,12,0,61,0,10,12.6,25.9,2019,2,10 +1287,4.993,4.728,270153,41,350,930,63.995,22.3,28,15,0,47,0,10,21.7,37,2019,2,11 +1288,5.437,5.603,298785,32,370,880,63.949,12.9,19,9.9,0,54,0,97,25.6,42.4,2019,2,12 +1289,6.331,5.689,217367,36,310,1300,67.595,14.1,21,9,0,53,0,10,17.8,29.4,2019,2,13 +1290,4.996,5.652,312401,32,360,900,63.792,18.6,24,15.7,0,58,0,10,13.9,25.9,2019,2,14 +1291,4.892,5.615,290821,37,350,980,63.792,24.7,30,19.6,0,37,0,0,16.4,27.8,2019,2,17 +1292,4.077,5.59,274770,40,360,940,63.949,17.1,26,11,0,62,0,10,18.1,37,2019,2,18 +1293,4.525,5.25,270973,37,370,930,63.838,15,20.3,9,0,61,0,10,16.9,27.8,2019,2,19 +1294,4.528,4.638,280038,38,380,940,70,16.4,23,11,0,63,0,10,16.1,27.8,2019,2,20 +1295,4.35E-06,5.153,290940,42,530,1100,68.82,17.3,20.1,15,0,59,0,10,19.6,29.4,2019,2,21 +1296,4.35E-06,5.19,228087,41,370,830,65.531,25.7,33,19,0,26,0,0,22,51.9,2019,2,24 +1297,4.35E-06,4.435,216494,34,330,970,65.531,26.2,35,17,0,24,0,10,19.4,50,2019,2,25 +1298,4.35E-06,4.582,279558,37,290,900,64.256,17.7,24,12,0,70,0,10,14.3,27.8,2019,2,26 +1299,4.35E-06,4.419,291837,35,520,1100,68.82,23.8,31,18,0,43,0,0,16.7,53.5,2019,2,27 +1300,4.35E-06,5.291,286661,49,440,930,64.958,30.9,38,26,0,24,0,0,30,51.9,2019,2,28 +1301,5.133,4.781,283081,46,350,870,65.486,25.4,38,16,0,42,0,10,17.8,40.7,2019,3,3 +1302,5.951,4.42,300576,50,360,840,70,20.9,29,16,0,59,0,0,11.9,24.1,2019,3,4 +1303,5.956,5.531,275199,38,330,820,61.396,18.4,26,11,0,69,0,10,18,38.9,2019,3,5 +1304,5.976,7.13,203334,22,370,790,60.424,12.2,17,7,0,52,0,10,19.8,61.1,2019,3,6 +1305,5.974,6.117,231426,31,390,920,64.366,17.3,24,11,0,32,0,0,15,29.4,2019,3,7 +1306,1.146,6.176,218284,35,422.98,845.96,64.366,19.4,26.1,12,0,34,0,0,16.3,31.7,2019,3,8 +1307,4.35E-06,5.434,242929,49,350,1000,64.522,17.8,24,13,0,67,0,10,14.8,42.4,2019,3,11 +1308,4.35E-06,5.571,266625,25,390,980,63.995,13.2,19,8,0,55,0,10,19.1,38.9,2019,3,12 +1309,4.35E-06,5.264,351227,27,350,850,63.792,14.3,18,9.7,1017.5,59,0,11.3,14.4,25.9,2019,3,13 +1310,4.35E-06,4.968,326009,31,290,780,61.24,15.9,22,11,0,62,0,10,14.1,25.9,2019,3,14 +1311,4.35E-06,4.733,246169,32,280,640,61.309,20.6,28,16,0,68,0,9.8,13.3,24.1,2019,3,17 +1312,4.35E-06,4.802,239426,45,330,830,64.301,21.3,27,17,0,68,0,10,13.9,29.4,2019,3,18 +1313,4.35E-06,5.235,279716,38,340,960,63.728,19.6,23,18,0,85,0,7.6,14.4,27.8,2019,3,19 +1314,4.35E-06,4.59,230698,37,450,1100,72,20.5,25,18.5,0,82,0,9.7,14.4,22.2,2019,3,20 +1315,4.35E-06,5.181,274400,40,440,1100,67.434,20.6,25,18,0,78,0,10,13.1,20.6,2019,3,21 +1316,4.35E-06,6.693,241643,38,300,820,63.227,22.8,31,14,0,48,0,10,31.7,55.4,2019,3,24 +1317,4.35E-06,6.201,241172,37,310,950,64.477,13.7,19,10,0,41,0,10,28.9,55.4,2019,3,25 +1318,4.35E-06,7.31,274798,37,420,890,64.32,14.4,21,8,0,52,0,10,17.4,31.7,2019,3,26 +1319,4.35E-06,6.256,223711,35,420,910,64.366,16.3,23,11,0,50,0,0,15,29.4,2019,3,27 +1320,4.35E-06,5.556,232271,35,410,1000,64.477,22.1,28,17,0,23,0,0,24.3,48.2,2019,3,28 +1321,4.35E-06,5.299,263513,35,280,720,61.866,14.1,19,12,0,74,0,9.7,13.7,31.7,2019,3,31 +1322,4.656,5.951,289189,35,350,770,58,11.7,17,6,0,68,0,10,11.7,20.6,2019,4,1 +1323,5.902,5.313,303918,50,400,940,63.792,19.4,26,13,0,38,0,0,21.1,29.4,2019,4,2 +1324,6.182,5.297,267033,27,360,1000,64.477,17.1,26,12.9,0,61,0,10,19.4,35.2,2019,4,3 +1325,6.432,6.005,339369,37,350,770,61.396,17.7,23,13,0,61,0,0,14.1,50,2019,4,4 +1326,6.248,7.915,276679,45,260,680,62.512,18.7,26,10,0,41,0,10,20,38.9,2019,4,7 +1327,6.112,5.953,266240,37,350,1000,64.477,16.3,23,9,0,57,0,10,22.6,42.4,2019,4,8 +1328,4.054,5.066,232435,48,340,845.96,64.477,11.1,16,8,0,67,0,10,17.2,35.2,2019,4,9 +1329,3.686,5.477,207915,42,380,840,64.366,13.1,15,9,0,59,0,10,11.9,20.6,2019,4,10 +1330,5.51,4.483,319623,38,320,650,60.406,11.4,18,5.6,0,64,0,10,13.3,20.6,2019,4,11 +1331,5.115,5.066,271916,45,260,660,60,17.1,23,12,0,58,0,0,9.6,25.9,2019,4,14 +1332,5.24,4.69,282147,40,300,670,62.512,22.4,27,20,0,36,0,0,25,42.4,2019,4,15 +1333,4.463,5.367,295988,36,340,680,62.218,24.8,30,21,0,28,0,0,41.3,61.1,2019,4,16 +1334,5.542,5.069,290667,38,300,930,65.486,20.9,31,8.9,0,39,0,10,26.9,59.4,2019,4,17 +1335,4.613,4.701,233217,33,422.98,845.96,64.32,15.1,23,9,0,56,0,0,11.3,27.8,2019,4,19 +1336,4.332,5.14,172867,42,270,780,61.601,13,16.1,9,0,73,0,10,12.4,18.3,2019,4,22 +1337,6.161,4.348,248114,46,300,890,64.32,16.1,22,11,0,54,0,10,18,31.7,2019,4,25 +1338,7.528,5.253,223064,50,260,730,62.032,12.2,16.2,8,0,77,0,10,14.6,27.8,2019,4,28 +1339,6.984,5.988,224891,40,250,770,61.991,12.3,18,7,0,63,0,10,12.8,38.9,2019,4,29 +1340,3.572,6.175,264894,41,270,750,62.384,18.7,22,15,0,37,0,10,28.3,50,2019,4,30 +1341,4.35E-06,6.372,269271,43,320,880,61,18.9,22,15,0,72,0,51.8,30,38.9,2019,5,1 +1342,0.002,5.208,257362,49,330,780,62.16,15.4,20,10,0,76,0,0,20.6,31.7,2019,5,2 +1343,5.689,4.165,261684,48,220,780,62.16,11.8,16,8,0,81,0,0,14.1,24.1,2019,5,5 +1344,6.567,4.093,223546,48,280,840,63.422,11,16,6,0,76,0,0,14.3,25.9,2019,5,6 +1345,6.589,6.135,236331,34,310,950,64.477,13.4,19,9,0,62,0,0,25.9,48.2,2019,5,7 +1346,5.481,5.445,260337,46,360,920,64.477,12,16,8,0,67,0,0,22.6,42.4,2019,5,8 +1347,3.994,5.608,262600,40,290,990,64.477,12.2,16,8.8,0,65,0,51.8,25.2,55.4,2019,5,9 +1348,4.525,4.664,243279,43,330,830,64.256,13.9,17,11,0,69,0,0,15.7,22.2,2019,5,12 +1349,5.326,4.59,248342,39,250,750,62.317,12.9,17,9,0,65,0,0,22.8,33.5,2019,5,13 +1350,5.64,4.37,230971,44,340,930,66,14.3,19.1,10,0,69,0,0,10.4,25.9,2019,5,14 +1351,3.788,5.544,232223,50,310,880,63.422,11.4,16,6,0,71,0,0,8.9,20.6,2019,5,15 +1352,4.844,5.078,297914,38,330,910,61.025,0,0,0,0,0,0,0,0,0,2019,5,16 +1353,5.045,4.628,269476,40,270,700,61.521,0,0,0,0,0,0,0,0,0,2019,5,19 +1354,4.187,4.895,275305,41,330,800,62.317,13.6,17,10,0,79,0,0,28.7,53.5,2019,5,20 +1355,4.467,4.705,270048,34,280,880,64.256,14.4,20,10.8,0,70,0,0,20.7,27.8,2019,5,21 +1356,2.815,4.644,188232,35,300,720,61.668,15.3,22,11,0,61,0,0,19.1,29.4,2019,5,22 +1357,5.332,4.488,306155,32,310,740,61.69,16.6,21,14,0,49,0,0,41.9,53.5,2019,5,23 +1358,5.502,4.453,285131,26,190,610,48,10.3,14,6,0,66,0,51.8,27.2,46.5,2019,5,26 +1359,5.392,4.93,328307,24,200,560,53.295,9.1,13,7,0,70,0,0,30.7,51.9,2019,5,27 +1360,4.582,4.802,339074,24,260,620,57.086,10.9,15,7,0,67,0,0,28,42.4,2019,5,28 +1361,4.875,5.346,353157,28,280,680,58.769,6.6,10,5,0,76,0,0,28.5,46.5,2019,5,29 +1362,4.846,4.219,343734,19,170,640,59.797,10.6,12,8.8,0,50,0,51.7,22.8,35.2,2019,5,30 +1363,3.593,4.357,321106,29,230,800,61.591,9.5,14,7,0,51,0,9.5,17.5,42.4,2019,6,2 +1364,3.954,4.907,259208,33,180,720,61.19,8.1,10,6,0,59,0,9,18.1,35.2,2019,6,3 +1365,5.686,5.083,286142,38,260,750,61.033,9.1,12,6,0,77,0,10,15,25.9,2019,6,4 +1366,6.171,4.615,295447,35,300,980,63.619,10.5,12,9.6,0,72,0,10,18.9,25.9,2019,6,5 +1367,3.797,5.971,303571,39,320,920,63.155,11.8,14,10,0,52,0,10,10.7,25.9,2019,6,6 +1368,4.545,4.932,294265,39,422.98,845.96,62.942,10.1,17,5,0,74,0,10,13.9,35.2,2019,6,7 +1369,4.738,4.777,304417,39,320,790,61.69,12.6,15,8.9,0,67,0,10,23,37,2019,6,10 +1370,2.813,5.216,255359,44,260,870,63.84,14.3,17,12,0,67,0,9.7,35.6,59.4,2019,6,11 +1371,4.398,4.513,304526,43,230,780,61.885,12,16,7,0,55,0,9.8,23.2,42.4,2019,6,12 +1372,3.805,4.558,329105,43,300,810,65,12.1,16,5,0,75,0,9.8,19.1,29.4,2019,6,13 +1373,5.327,4.795,303728,45,330,770,61.632,10.4,15,7,0,79,0,10,17.6,24.1,2019,6,16 +1374,4.394,4.656,277748,47,270,760,61.789,11.6,17,8.8,0,74,0,10,23.3,35.2,2019,6,17 +1375,3.838,4.95,289854,44,270,870,62.942,7.2,12,4.7,0,82,0,10,18.9,40.7,2019,6,18 +1376,4.934,4.834,289607,46,360,1000,62.849,7.7,11,5.6,0,55,0,10,11.1,18.3,2019,6,19 +1377,5.068,4.716,305938,28,310,660,58.807,6.8,10,4,0,56,0,10,14.4,22.2,2019,6,20 +1378,5.882,5.51,293446,40,250,700,60.671,7.6,16,3,0,71,0,0,13.5,25.9,2019,6,24 +1379,4.638,4.811,307968,47,260,860,64,9.7,16,3,0,65,0,10,18.1,25.9,2019,6,25 +1380,5.373,4.929,316675,46,300,900,62.479,10.9,17,5,0,65,0,10,21.9,35.2,2019,6,26 +1381,4.072,5.194,318268,31,270,910,63.312,12.4,16,10,0,63,0,10,28,44.6,2019,6,27 diff --git a/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/vertopal.com_JaiGaikwad_IITK_230407_3 (1).pdf b/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/vertopal.com_JaiGaikwad_IITK_230407_3 (1).pdf new file mode 100644 index 00000000..4f08f08e Binary files /dev/null and b/IITK/Assignments/Assignment 3/Assignment3_230407_JaiGaikwad/vertopal.com_JaiGaikwad_IITK_230407_3 (1).pdf differ diff --git a/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/JaiGaikwad_230407_3.ipynb b/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/JaiGaikwad_230407_3.ipynb new file mode 100644 index 00000000..a3a21da4 --- /dev/null +++ b/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/JaiGaikwad_230407_3.ipynb @@ -0,0 +1,446 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 37, + "id": "f8cf9274-a4d5-4030-b7e9-d6ff90a9d4cd", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.tree import DecisionTreeClassifier\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.svm import SVC\n", + "from sklearn.metrics import accuracy_score, f1_score, confusion_matrix, classification_report\n", + "from sklearn.model_selection import GridSearchCV\n", + "\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "38a6369e-b4a7-4d42-ac6f-16cd2d79f0bd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.scatterplot(x = 'Energy Consumption', y ='Chemical Oxygen Demand', data = data)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "859301e5-fd07-4c69-bd39-cfacf8e0a021", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "atmospheric_factors = ['Maximum temperature','Minimum temperature','Atmospheric pressure','Average humidity','Total rainfall','Average visibility']\n", + "for col in atmospheric_factors:\n", + " plt.figure(figsize=(10,6))\n", + " sns.histplot(data = data, x = col, kde = True)\n", + " plt.title(f'{col}')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "d590d461-2c22-4827-bcfe-16ef800688c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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k69ev9zvnszFp0iTFxcVp9OjROdZNnz5dM2bM0Ouvv66wsLAL9r9snM1zJknFixdXz5491bNnT6Wnp+vqq6/W008/7ReEW7ZsyXEl9scff5Sks/7gQfaHcqKios7rPw7KlSunrKwsrV279pSheTpZWVn66aefvKuCUu7PMfvKYnBwcK7OKTY2Vt27d1f37t21f/9+NWvWTIMHD/aCMPt8+vXrp379+mnDhg2qWbOmRo0apYkTJ0o6fuX1z/fcPHLkiLZu3Zqb0/XmIS4u7rL+RxrwZ7yHENDxW17MnTtXISEh3kvC7dq1U2Zmpl599VW/bV944QUFBAR4YXD06FF169ZN8fHxeumllzRhwgRt375dDz744AUbb/HixVWzZk29/fbbfn/5rV69WnPnzlW7du28ZdmxkpsbU9epU0dxcXF6/fXXdfjwYW/57NmztW7dOrVv3/6sx3rw4EFNnz5dHTp00C233JLjq3fv3srIyPBuQ3I24z0buX3OMjMztXfvXr994+LiFB8f7/ecSMf/ETF27Fjv+yNHjmjs2LEqUqSIateufVbjq127tsqVK6fnnnvO+0fJiX7//fezOl62G2+8UYGBgRo6dGiO9yDm9urpib8HzEyvvvqqgoOD1bJly9PuFxcXp2uuuUZjx449aZCdeE47d+70W1ewYEFdeeWV3nN+4MABHTp0yG+bcuXKKTIy0m9eypUrp8WLF/ttN27cuFy/T7VNmzaKiorSM888o6NHj552zMDlhCuEcNLs2bO9K33p6el67733tGHDBj3yyCPee4Q6duyoFi1aaMCAAdq8ebNq1KihuXPn6t///rf69u3rXUl46qmnlJqaqvnz5ysyMlLVq1fXwIED9fjjj+uWW27xi7PzaeTIkWrbtq0aNmyou+++27uFSnR0tN992LLDZMCAAbr99tsVHBysjh07nvT9hcHBwRoxYoS6d++u5s2bKykpybvtTEJCwjlF7ocffqiMjAz95S9/Oen6Bg0aeDepvu2221SzZk0FBQVpxIgR2rt3r3w+n6699lrFxcWd9WP/WW6es4yMDJUsWVK33HKLatSooYIFC2revHlatmyZRo0a5Xe8+Ph4jRgxQps3b9ZVV12lKVOmKDU1VePGjcvV/9pyosDAQP3zn/9U27ZtVaVKFXXv3l0lSpTQb7/9poULFyoqKkofffTRWZ/zlVdeqQEDBujJJ59U06ZNdfPNN8vn82nZsmWKj4/XsGHDTrt/aGioPv30UyUnJ6t+/fqaPXu2Pv74Yz322GOnvX1RttGjR6tJkyaqVq2aevToobJly2r79u1asmSJ/vOf/2jVqlWSjn9Y6JprrlHt2rUVGxur5cuXe7f+kY5flWzZsqU6d+6sypUrq0CBApoxY4a2b9+u22+/3Xu8e+65R/fee686deqk1q1ba9WqVZozZ453y6UziYqK0pgxY3THHXfo6quv1u23364iRYrol19+0ccff6zGjRvn+EcicFnIy484AxfbyW47ExoaajVr1rQxY8bkuA1HRkaGPfjggxYfH2/BwcFWvnx5GzlypLfdihUrrECBAn635TAzO3bsmNWtW9fi4+Nt9+7dpxxP9i1Jpk6detpxn+y2M2Zm8+bNs8aNG1tYWJhFRUVZx44dbe3atTn2f/LJJ61EiRIWGBiYq1vQTJkyxWrVqmU+n89iY2OtS5cu9p///Mdvm9zedqZjx44WGhpqf/zxxym36datmwUHB9uOHTvMzOyNN96wsmXLWlBQkN+tY8qUKXPSW5NIynGbmOzn7M+3KTnTc3b48GHr37+/1ahRwyIjIy0iIsJq1Khhr732mt9xmjdvblWqVLHly5dbw4YNLTQ01MqUKWOvvvqq33anmuNTzenKlSvt5ptvtiuuuMJ8Pp+VKVPGOnfubPPnz/e2yb61TPZtX07059vOZHvrrbe8OS1UqJA1b97cuwXQqSQnJ1tERIRt2rTJrrvuOgsPD7eiRYvaoEGD/G5hc6rnOtumTZvszjvvtGLFillwcLCVKFHCOnToYNOmTfO2eeqpp6xevXoWExNjYWFhVrFiRXv66ae92/fs2LHDevXqZRUrVrSIiAiLjo62+vXr2wcffOD3WJmZmfaPf/zDChcubOHh4damTRvbuHHjKW87c6pfvwsXLrQ2bdpYdHS0hYaGWrly5axbt262fPny0z5nQH4VYHYO77gGAMddc8012rFjh1avXp3XQ7lgunXrpmnTpp30JWwAlxfeQwgAAOA4ghAAAMBxBCEAAIDjeA8hAACA47hCCAAA4DiCEAAAwHHnfGPqrKwsbdmyRZGRkRfsv5oCAADAuTMzZWRkKD4+XoGBp74OeM5BuGXLFpUqVepcdwcAAMBF8uuvv6pkyZKnXH/OQRgZGek9QPZ/9QUAAIBLx759+1SqVCmv207lnIMw+2XiqKgoghAAAOASdqa39/GhEgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHJdvgnDjxo164IEHtHHjxrweCgAAwGUl3wRhWlqaVq1apbS0tLweCgAAwGUl3wQhAAAALgyCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADguHwThAcOHPD7EQAAAOdHvgnCTZs2+f0IAACA8yPfBCEAAAAuDIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiuQF4PAAAA4HKRmZmp7777Tjt27NCuXbu0Z88e7dixQ3FxcapZs6YCAwO1Z88excbGqnr16goKCsrrIUsiCAEAAM6LxYsX67XXXtO2bdtOun7SpEl+3xcrVkw9e/ZUs2bNLsbwTouXjAEAAP5Hixcv1qBBgxQdHe23vGDBgifdvkePHipbtqwGDRqkxYsXX4whnhZBCAAA8D/IzMzUa6+9pgYNGmjPnj0KCQmRz+dTw4YN9a9//Us+n08+n0/169f31s2aNUtDhgxRw4YNNWbMGGVmZubpOeQ6CA8fPqx9+/b5fQEAALjuu+++07Zt21SvXj1t375dR44c0eHDh9W1a1etXbtWhw8f1uHDh9WgQQNv3datW7V69Wp16dJFW7du1XfffZen55DrIBw2bJiio6O9r1KlSl3IcQEAAOQLu3btkiSFhob6LU9MTPTWSZLP58uxX2Jiot8x8kqug/DRRx/V3r17va9ff/31Qo4LAAAgX4iNjZUkHTp0yG95Wlqat046/mrrn/dLS0vzO0ZeyXUQ+nw+RUVF+X0BAAC4rnr16ipWrJi++eYbFS1a1Huf4MSJE1W5cmXvPYRff/21t6548eKqWrWqJk2apOLFi6t69ep5eg58qAQAAOB/EBQUpJ49e+rrr79WTEyM9z7BJUuWqFOnTt57CJcuXeqt69ChgwYNGqQlS5bovvvuy/P7ERKEAAAA/6NmzZppyJAh2rt3r9/y/fv3n3T7N954Q2lpaRoyZMglcR9CbkwNAABwHjRr1kyNGzfmfyoBAABwWVBQkGrVqpXXwzhrvGQMAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAAByXb4KwXLlyfj8CAADg/Mg3QRgeHu73IwAAAM6PfBOEAAAAuDAIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAx+WbIExMTFSNGjWUmJiY10MBAAC4rASYmZ3Ljvv27VN0dLT27t2rqKio8z0uAAAA/I9y22v55gohAAAALgyCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4whCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOMIQgAAAMcRhAAAAI4jCAEAABxHEAIAADiOIAQAAHAcQQgAAOA4ghAAAMBxBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQAADAcQQhAACA4wqc645mJknat2/feRsMAAAAzp/sTsvutlM55yDMyMiQJJUqVepcDwEAAICLICMjQ9HR0adcH2BnSsZTyMrK0pYtWxQZGamAgIBzHmBu7du3T6VKldKvv/6qqKioC/54OD+Yt/yLucufmLf8iXnLvy71uTMzZWRkKD4+XoGBp36n4DlfIQwMDFTJkiXPdfdzFhUVdUk+4Tg95i3/Yu7yJ+Ytf2Le8q9Lee5Od2UwGx8qAQAAcBxBCAAA4Lh8E4Q+n0+DBg2Sz+fL66HgLDBv+Rdzlz8xb/kT85Z/XS5zd84fKgEAAMDlId9cIQQAAMCFQRACAAA4jiAEAABwHEEIAADguHwThKNHj1ZCQoJCQ0NVv359ffPNN3k9JGcNGzZMdevWVWRkpOLi4nTjjTdq/fr1ftscOnRIvXr10hVXXKGCBQuqU6dO2r59u982v/zyi9q3b6/w8HDFxcWpf//+Onbs2MU8FacNHz5cAQEB6tu3r7eMebt0/fbbb+ratauuuOIKhYWFqVq1alq+fLm33sw0cOBAFS9eXGFhYWrVqpU2bNjgd4xdu3apS5cuioqKUkxMjO6++27t37//Yp+KMzIzM/XEE08oMTFRYWFhKleunJ588km//1OWebs0LF68WB07dlR8fLwCAgI0c+ZMv/Xna56+++47NW3aVKGhoSpVqpSeffbZC31quWf5wOTJky0kJMTeeustW7NmjfXo0cNiYmJs+/bteT00J7Vp08bGjx9vq1evttTUVGvXrp2VLl3a9u/f721z7733WqlSpWz+/Pm2fPlya9CggTVq1Mhbf+zYMatataq1atXKVq5caZ988okVLlzYHn300bw4Jed88803lpCQYNWrV7cHHnjAW868XZp27dplZcqUsW7dutnSpUvtp59+sjlz5tjGjRu9bYYPH27R0dE2c+ZMW7Vqlf3lL3+xxMREO3jwoLfN9ddfbzVq1LCvv/7aPv/8c7vyyistKSkpL07JCU8//bRdccUVNmvWLEtLS7OpU6dawYIF7aWXXvK2Yd4uDZ988okNGDDApk+fbpJsxowZfuvPxzzt3bvXihYtal26dLHVq1fb+++/b2FhYTZ27NiLdZqnlS+CsF69etarVy/v+8zMTIuPj7dhw4bl4aiQLT093STZZ599ZmZme/bsseDgYJs6daq3zbp160ySLVmyxMyO/+YLDAy0bdu2eduMGTPGoqKi7PDhwxf3BByTkZFh5cuXt5SUFGvevLkXhMzbpesf//iHNWnS5JTrs7KyrFixYjZy5Ehv2Z49e8zn89n7779vZmZr1641SbZs2TJvm9mzZ1tAQID99ttvF27wDmvfvr3dddddfstuvvlm69Kli5kxb5eqPwfh+Zqn1157zQoVKuT3Z+U//vEPq1ChwgU+o9y55F8yPnLkiFasWKFWrVp5ywIDA9WqVSstWbIkD0eGbHv37pUkxcbGSpJWrFiho0eP+s1ZxYoVVbp0aW/OlixZomrVqqlo0aLeNm3atNG+ffu0Zs2aizh69/Tq1Uvt27f3mx+JebuUffjhh6pTp45uvfVWxcXFqVatWnrjjTe89Wlpadq2bZvf3EVHR6t+/fp+cxcTE6M6dep427Rq1UqBgYFaunTpxTsZhzRq1Ejz58/Xjz/+KElatWqVvvjiC7Vt21YS85ZfnK95WrJkiZo1a6aQkBBvmzZt2mj9+vXavXv3RTqbUyuQ1wM4kx07digzM9PvLyBJKlq0qH744Yc8GhWyZWVlqW/fvmrcuLGqVq0qSdq2bZtCQkIUExPjt23RokW1bds2b5uTzWn2OlwYkydP1rfffqtly5blWMe8Xbp++uknjRkzRv/3f/+nxx57TMuWLVOfPn0UEhKi5ORk77k/2dycOHdxcXF+6wsUKKDY2Fjm7gJ55JFHtG/fPlWsWFFBQUHKzMzU008/rS5dukgS85ZPnK952rZtmxITE3McI3tdoUKFLsj4c+uSD0Jc2nr16qXVq1friy++yOuh4Ax+/fVXPfDAA0pJSVFoaGheDwdnISsrS3Xq1NEzzzwjSapVq5ZWr16t119/XcnJyXk8OpzKBx98oEmTJum9995TlSpVlJqaqr59+yo+Pp55wyXnkn/JuHDhwgoKCsrxScft27erWLFieTQqSFLv3r01a9YsLVy4UCVLlvSWFytWTEeOHNGePXv8tj9xzooVK3bSOc1eh/NvxYoVSk9P19VXX60CBQqoQIEC+uyzz/Tyyy+rQIECKlq0KPN2iSpevLgqV67st6xSpUr65ZdfJP33uT/dn5PFihVTenq63/pjx45p165dzN0F0r9/fz3yyCO6/fbbVa1aNd1xxx168MEHNWzYMEnMW35xvubpUv/z85IPwpCQENWuXVvz58/3lmVlZWn+/Plq2LBhHo7MXWam3r17a8aMGVqwYEGOS+C1a9dWcHCw35ytX79ev/zyizdnDRs21Pfff+/3GyglJUVRUVE5/uLD+dGyZUt9//33Sk1N9b7q1KmjLl26eD9n3i5NjRs3znFrpx9//FFlypSRJCUmJqpYsWJ+c7dv3z4tXbrUb+727NmjFStWeNssWLBAWVlZql+//kU4C/ccOHBAgYH+f80GBQUpKytLEvOWX5yveWrYsKEWL16so0ePetukpKSoQoUKef5ysaT8c9sZn89nEyZMsLVr19rf/vY3i4mJ8fukIy6e++67z6Kjo23RokW2detW7+vAgQPeNvfee6+VLl3aFixYYMuXL7eGDRtaw4YNvfXZty+57rrrLDU11T799FMrUqQIty+5yE78lLEZ83ap+uabb6xAgQL29NNP24YNG2zSpEkWHh5uEydO9LYZPny4xcTE2L///W/77rvv7IYbbjjpbTFq1aplS5cutS+++MLKly/P7UsuoOTkZCtRooR325np06db4cKF7eGHH/a2Yd4uDRkZGbZy5UpbuXKlSbLnn3/eVq5caT///LOZnZ952rNnjxUtWtTuuOMOW716tU2ePNnCw8O57czZeuWVV6x06dIWEhJi9erVs6+//jqvh+QsSSf9Gj9+vLfNwYMHrWfPnlaoUCELDw+3m266ybZu3ep3nM2bN1vbtm0tLCzMChcubP369bOjR49e5LNx25+DkHm7dH300UdWtWpV8/l8VrFiRRs3bpzf+qysLHviiSesaNGi5vP5rGXLlrZ+/Xq/bXbu3GlJSUlWsGBBi4qKsu7du1tGRsbFPA2n7Nu3zx544AErXbq0hYaGWtmyZW3AgAF+tx1h3i4NCxcuPOnfa8nJyWZ2/uZp1apV1qRJE/P5fFaiRAkbPnz4xTrFMwowO+GW6QAAAHDOJf8eQgAAAFxYBCEAAIDjCEIAAADHEYQAAACOIwgBAAAcRxACAAA4jiAEAABwHEEIAADgOIIQQL4UEBCgmTNn5rtjA8CliCAEHLJkyRIFBQWpffv2OdYNHjxYNWvWvPiDugRt3bpVbdu2zethAMBFQxACDnnzzTd1//33a/HixdqyZUteD+eSc+TIEUlSsWLF5PP5LtrjmpmOHTt20R4vNy7FMQG4cAhCwBH79+/XlClTdN9996l9+/aaMGGCt27ChAkaMmSIVq1apYCAAAUEBHjrAwICNHbsWHXo0EHh4eGqVKmSlixZoo0bN+qaa65RRESEGjVqpE2bNvk93pgxY1SuXDmFhISoQoUKevfdd711ZqbBgwerdOnS8vl8io+PV58+fbz1CQkJevLJJ5WUlKSIiAiVKFFCo0ePznFOO3bs0E033aTw8HCVL19eH374od/61atXq23btipYsKCKFi2qO+64Qzt27PDWX3PNNerdu7f69u2rwoULq02bNt45n/iS8X/+8x8lJSUpNjZWERERqlOnjpYuXXrS53nz5s0KCAjQ5MmT1ahRI4WGhqpq1ar67LPPvG0WLVqkgIAAzZ49W7Vr15bP59MXX3yhrKwsDRs2TImJiQoLC1ONGjU0bdo0b7/du3erS5cuKlKkiMLCwlS+fHmNHz9e0vGY7d27t4oXL67Q0FCVKVNGw4YN8xtTamqqd6w9e/YoICBAixYt+p/GBOAyYQCc8Oabb1qdOnXMzOyjjz6ycuXKWVZWlpmZHThwwPr162dVqlSxrVu32tatW+3AgQNmZibJSpQoYVOmTLH169fbjTfeaAkJCXbttdfap59+amvXrrUGDRrY9ddf7z3W9OnTLTg42EaPHm3r16+3UaNGWVBQkC1YsMDMzKZOnWpRUVH2ySef2M8//2xLly61cePGefuXKVPGIiMjbdiwYbZ+/Xp7+eWXLSgoyObOnettI8lKlixp7733nm3YsMH69OljBQsWtJ07d5qZ2e7du61IkSL26KOP2rp16+zbb7+11q1bW4sWLbxjNG/e3AoWLGj9+/e3H374wX744Qfv2DNmzDAzs4yMDCtbtqw1bdrUPv/8c9uwYYNNmTLFvvrqq5M+z2lpad7Ypk2bZmvXrrV77rnHIiMjbceOHWZmtnDhQpNk1atXt7lz59rGjRtt586d9tRTT1nFihXt008/tU2bNtn48ePN5/PZokWLzMysV69eVrNmTVu2bJmlpaVZSkqKffjhh2ZmNnLkSCtVqpQtXrzYNm/ebJ9//rm99957fmNauXKlN87du3ebJFu4cOH/NCYAlweCEHBEo0aN7MUXXzQzs6NHj1rhwoW9GDAzGzRokNWoUSPHfpLs8ccf975fsmSJSbI333zTW/b+++9baGio32P16NHD7zi33nqrtWvXzszMRo0aZVdddZUdOXLkpGMtU6aMX2Camd12223Wtm3bU45r//79Jslmz55tZmZPPvmkXXfddX7H+PXXX02SrV+/3syOB2GtWrVOes7ZQTh27FiLjIz0QvNMsuNr+PDh3rKjR49ayZIlbcSIEWb23/iaOXOmt82hQ4csPDw8R2jefffdlpSUZGZmHTt2tO7du5/0ce+//3679tprvcg/2ZhyE4RnOyYAlwdeMgYcsH79en3zzTdKSkqSJBUoUEC33Xab3nzzzVztX716de/nRYsWlSRVq1bNb9mhQ4e0b98+SdK6devUuHFjv2M0btxY69atkyTdeuutOnjwoMqWLasePXpoxowZOd6v1rBhwxzfZ+9/snFFREQoKipK6enpkqRVq1Zp4cKFKliwoPdVsWJFSfJ7ebt27dqnPffU1FTVqlVLsbGxp93uz04cf4ECBVSnTp0c469Tp473840bN+rAgQNq3bq135jfeecdb7z33XefJk+erJo1a+rhhx/WV1995e3frVs3paamqkKFCurTp4/mzp17VuM91zEBuDwUyOsBALjw3nzzTR07dkzx8fHeMjOTz+fTq6++qujo6NPuHxwc7P08ICDglMuysrJyNZ5SpUpp/fr1mjdvnlJSUtSzZ0+NHDlSn332md9xz+TP2wYEBHhj2L9/vzp27KgRI0bk2K948eLezyMiIk77GGFhYbkez9k68bH3798vSfr4449VokQJv+2yP+DStm1b/fzzz/rkk0+UkpKili1bqlevXnruued09dVXKy0tTbNnz9a8efPUuXNntWrVStOmTVNg4PF/+5uZd8yjR4+elzEBuDxwhRC4zB07dkzvvPOORo0apdTUVO9r1apVio+P1/vvvy9JCgkJUWZm5nl5zEqVKunLL7/0W/bll1+qcuXK3vdhYWHq2LGjXn75ZS1atEhLlizR999/763/+uuv/fb/+uuvValSpVyP4eqrr9aaNWuUkJCgK6+80u/rTBF4ourVqys1NVW7du3K9T7Z48127NgxrVix4rTjr1y5snw+n3755Zcc4y1VqpS3XZEiRZScnKyJEyfqxRdf1Lhx47x1UVFRuu222/TGG29oypQp+te//qVdu3apSJEiko7fTifbiR8w+V/HBCD/4wohcJmbNWuWdu/erbvvvjvHlcBOnTrpzTff1L333quEhASlpaUpNTVVJUuWVGRk5DlfBerfv786d+6sWrVqqVWrVvroo480ffp0zZs3T9LxTzVnZmaqfv36Cg8P18SJExUWFqYyZcp4x/jyyy/17LPP6sYbb1RKSoqmTp2qjz/+ONdj6NWrl9544w0lJSXp4YcfVmxsrDZu3KjJkyfrn//8p4KCgnJ1nKSkJD3zzDO68cYbNWzYMBUvXlwrV65UfHx8jpe1TzR69GiVL19elSpV0gsvvKDdu3frrrvuOuX2kZGReuihh/Tggw8qKytLTZo00d69e/Xll18qKipKycnJGjhwoGrXrq0qVaro8OHDmjVrlheZzz//vIoXL65atWopMDBQU6dOVbFixRQTE6PAwEA1aNBAw4cPV2JiotLT0/X444+f8dxzMyYAl4m8fhMjgAurQ4cO3oc5/mzp0qUmyVatWmWHDh2yTp06WUxMjEmy8ePHm5n/ByzMTv4BhewPJOzevdtb9tprr1nZsmUtODjYrrrqKnvnnXe8dTNmzLD69etbVFSURUREWIMGDWzevHne+jJlytiQIUPs1ltvtfDwcCtWrJi99NJLfmP/87jMzKKjo71xm5n9+OOPdtNNN1lMTIyFhYVZxYoVrW/fvt4HL5o3b24PPPBAjuflz8fevHmzderUyaKioiw8PNzq1KljS5cuPelzmv38vPfee1avXj0LCQmxypUre5+wPtXzZWaWlZVlL774olWoUMGCg4OtSJEi1qZNG/vss8/M7PgHZSpVqmRhYWEWGxtrN9xwg/30009mZjZu3DirWbOmRUREWFRUlLVs2dK+/fZb79hr1661hg0bWlhYmNWsWdPmzp170g+VnO2YAFweAsxOeFMJAFwCEhIS1LdvX/Xt2zevh3LWNm/erMTERK1cuZL/+QVAvsF7CAEAABxHEAIAADiOl4wBAAAcxxVCAAAAxxGEAAAAjiMIAQAAHEcQAgAAOI4gBAAAcBxBCAAA4DiCEAAAwHEEIQAAgOP+H6Dq/S7J+3BTAAAAAElFTkSuQmCC", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for col in atmospheric_factors:\n", + " plt.figure(figsize=(8, 6))\n", + " sns.boxplot(data=data, x=col)\n", + " plt.title(f'Box Plot of {col}')\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "b200fd02-baf8-46bd-a3da-1a964660aaba", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('third.csv')\n", + "data = data.drop(columns=['Unnamed: 0'])\n", + "data['Optimal'] = np.where(data['Average Outflow'] > data['Average Inflow'], 1, 0)\n", + "X = data.drop(columns=['Optimal'])\n", + "y = data['Optimal']\n", + "scaler = StandardScaler()\n", + "X_scaled = scaler.fit_transform(X)\n", + "X_train, X_test, y_train, y_test = train_test_split(X_scaled, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "7babbdd3-4ec1-4186-8d98-63927c032c16", + "metadata": {}, + "outputs": [], + "source": [ + "# Logistic Regression\n", + "logistic_model = LogisticRegression()\n", + "logistic_model.fit(X_train, y_train)\n", + "y_pred_logistic = logistic_model.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3f196f81-1134-4600-aef4-4b35e27b8bad", + "metadata": {}, + "outputs": [], + "source": [ + "# K-Nearest Neighbors\n", + "knn_model = KNeighborsClassifier()\n", + "knn_model.fit(X_train, y_train)\n", + "y_pred_knn = knn_model.predict(X_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "8cace73d-9d8e-486c-ac5f-ede27d0935f6", + "metadata": {}, + "outputs": [], + "source": [ + "# Decision Tree Classifier\n", + "dt_model = DecisionTreeClassifier(random_state=42)\n", + "dt_model.fit(X_train, y_train)\n", + "y_pred_dt = dt_model.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "ca470b4c-ef96-4541-b2fd-5664630eb397", + "metadata": {}, + "outputs": [], + "source": [ + "# Random Forest Classifier\n", + "rf_model = RandomForestClassifier(random_state=42)\n", + "rf_model.fit(X_train, y_train)\n", + "y_pred_rf = rf_model.predict(X_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "88994c15-afc6-4be3-a660-7a7e017d17c6", + "metadata": {}, + "outputs": [], + "source": [ + "# Support Vector Machine\n", + "svm_model = SVC()\n", + "svm_model.fit(X_train, y_train)\n", + "y_pred_svm = svm_model.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "a54006ea-503f-4d6e-a1ff-a8516206a443", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Gradient Boosting\n", + "from sklearn.ensemble import GradientBoostingClassifier\n", + "gb_model = GradientBoostingClassifier(random_state=42)\n", + "gb_model.fit(X_train, y_train)\n", + "y_pred_gb = gb_model.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "db7d5b29-77bb-4484-84cd-7a762b05977d", + "metadata": {}, + "outputs": [], + "source": [ + "def evaluate_model(name, y_test, y_pred):\n", + " print(f\"Model: {name}\")\n", + " print(f\"Accuracy: {accuracy_score(y_test, y_pred):.4f}\")\n", + " print(f\"F1 Score: {f1_score(y_test, y_pred):.4f}\")\n", + " print(\"Confusion Matrix:\")\n", + " print(confusion_matrix(y_test, y_pred))\n", + " print(\"\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "64727f5c-8c9a-4784-9732-4a07bf752a2a", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "models = {\n", + " \"Logistic Regression\": y_pred_logistic,\n", + " \"KNN\": y_pred_knn,\n", + " \"Decision Tree\": y_pred_dt,\n", + " \"Random Forest\": y_pred_rf,\n", + " \"SVM\": y_pred_svm,\n", + " \"Gradient Boosting\": y_pred_gb\n", + "}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "cc995b71-b6fe-4926-8edf-9a284efa315b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: Logistic Regression\n", + "Accuracy: 0.9819\n", + "F1 Score: 0.9412\n", + "Confusion Matrix:\n", + "[[232 0]\n", + " [ 5 40]]\n", + "\n", + "\n", + "Model: KNN\n", + "Accuracy: 0.8845\n", + "F1 Score: 0.5152\n", + "Confusion Matrix:\n", + "[[228 4]\n", + " [ 28 17]]\n", + "\n", + "\n", + "Model: Decision Tree\n", + "Accuracy: 0.9531\n", + "F1 Score: 0.8602\n", + "Confusion Matrix:\n", + "[[224 8]\n", + " [ 5 40]]\n", + "\n", + "\n", + "Model: Random Forest\n", + "Accuracy: 0.9495\n", + "F1 Score: 0.8250\n", + "Confusion Matrix:\n", + "[[230 2]\n", + " [ 12 33]]\n", + "\n", + "\n", + "Model: SVM\n", + "Accuracy: 0.9278\n", + "F1 Score: 0.7143\n", + "Confusion Matrix:\n", + "[[232 0]\n", + " [ 20 25]]\n", + "\n", + "\n", + "Model: Gradient Boosting\n", + "Accuracy: 0.9819\n", + "F1 Score: 0.9425\n", + "Confusion Matrix:\n", + "[[231 1]\n", + " [ 4 41]]\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for model_name, predictions in models.items():\n", + " evaluate_model(model_name, y_test, predictions)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "76672b84-5ef3-4149-acac-c2949d15d9bf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fitting 3 folds for each of 36 candidates, totalling 108 fits\n" + ] + } + ], + "source": [ + "param_grid = {\n", + " 'n_estimators': [50, 100, 150],\n", + " 'max_depth': [None, 10, 20, 30],\n", + " 'min_samples_split': [2, 5, 10]\n", + "}\n", + "rf_grid_search = GridSearchCV(RandomForestClassifier(random_state=42), param_grid, cv=3, scoring='f1', verbose=1)\n", + "rf_grid_search.fit(X_train, y_train)\n", + "print(\"Best Parameters for Random Forest:\", rf_grid_search.best_params_)\n", + "best_rf_model = rf_grid_search.best_estimator_\n", + "y_pred_rf_tuned = best_rf_model.predict(X_test)\n", + "evaluate_model(\"Tuned Random Forest\", y_test, y_pred_rf_tuned)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.1" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/third.csv b/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/third.csv new file mode 100644 index 00000000..0b85fe2d --- /dev/null +++ b/IITK/Assignments/Assignment 3/Assignment3_JaiGaikwad-230407/third.csv @@ -0,0 +1,1383 @@ +,Average Outflow,Average Inflow,Energy Consumption,Ammonia,Biological Oxygen Demand,Chemical Oxygen Demand,Total Nitrogen,Average Temperature,Maximum temperature,Minimum temperature,Atmospheric pressure,Average humidity,Total rainfall,Average visibility,Average wind speed,Maximum wind speed,Year,Month,Day +0,2.941,2.589,175856,27,365,730,60.378,19.3,25.1,12.6,0,56,1.52,10,26.9,53.5,2014,1,1 +1,2.936,2.961,181624,25,370,740,60.026,17.1,23.6,12.3,0,63,0,10,14.4,27.8,2014,1,2 +2,2.928,3.225,202016,42,418,836,64.522,16.8,27.2,8.8,0,47,0.25,10,31.9,61.1,2014,1,5 +3,2.928,3.354,207547,36,430,850,63,14.6,19.9,11.1,0,49,0,10,27,38.9,2014,1,6 +4,2.917,3.794,202824,46,508,1016,65.59,13.4,19.1,8,0,65,0,10,20.6,35.2,2014,1,7 +5,2.912,3.75,247691,40,410,820,61.786,18.9,27.3,7.7,0,52,0,0,15.6,31.7,2014,1,8 +6,2.355,3.507,224706,51,555,1110,68.82,25.9,32.4,12.1,0,39,0,0,26.7,46.5,2014,1,9 +7,2.366,3.188,212440,41,365,730,62.218,17.7,24.6,13,0,69,0,9.8,13.1,25.9,2014,1,12 +8,3.923,3.378,202676,26,355,710,61.433,26.4,36,12.7,0,44,0,0,19.8,51.9,2014,1,13 +9,3.912,3.425,202411,42,530,830,66.354,35.5,43.5,28.5,0,20,0,0,27.8,57.6,2014,1,14 +10,2.971,3.775,171123,47,435,870,65.531,32.1,42.9,23.7,0,29,0,0,18,35.2,2014,1,15 +11,3.833,3.763,193509,43,295,590,59.548,33.9,43.1,23.7,0,24,0,0,19.3,46.5,2014,1,16 +12,2.984,3.487,205761,38,600,1200,68.82,19.2,23.1,15.2,0,64,0,10,24.8,31.7,2014,1,19 +13,3.236,3.604,184108,38,465,930,64.568,18.4,24.7,15.8,0,66,0,10,25.6,35.2,2014,1,20 +14,2.95,3.6,200044,38,505.5,1011,65.59,17.6,22.6,14,0,61,0,10,25,37,2014,1,21 +15,2.935,3.481,173825,47,470,980,76,16.3,23.4,10,0,59,0,0,17.4,29.4,2014,1,22 +16,2.937,3.623,230632,39,431,862,64.847,23.6,33.7,10.2,0,52,1.52,8.5,14.8,27.8,2014,1,23 +17,3.308,3.785,236472,45,380,760,62.09,16.3,22.8,12.8,0,72,4.32,10,21.9,31.7,2014,1,24 +18,2.933,3.596,214057,36,345,690,63.227,29.3,35.5,16.7,0,26,0,0,32.6,48.2,2014,1,27 +19,2.94,3.642,204062,29,286.5,573,54.63,27.2,42.1,17.6,0,34,0,10,25.7,51.9,2014,1,28 +20,3.427,3.519,245524,31,360,720,61.496,17.7,23.7,13,0,64,0,10,20.2,33.5,2014,1,29 +21,2.98,3.541,230113,38,380,840,65.374,22.6,31.1,12.9,0,55,0,8,13.3,22.2,2014,1,30 +22,2.997,3.526,214635,43,344,688,63.521,31.7,40.5,23,0,23,0,0,15.6,33.5,2014,2,2 +23,2.978,3.542,210017,44,390.5,781,62.569,19.2,0,13.8,0,56,0.51,10,29.6,38.9,2014,2,3 +24,2.983,3.332,201393,35,391.5,783,62.218,17.7,25,10.8,0,54,0,10,25.7,44.6,2014,2,4 +25,2.989,3.249,201578,48,270,740,55,22.5,30.9,10.6,0,42,0,0,20,51.9,2014,2,5 +26,2.991,3.408,190528,46,385,770,63.38,28.7,35.3,14.2,0,27,0,0,29.8,51.9,2014,2,6 +27,2.989,3.498,177913,41,377.5,755,62.371,21.8,0,13,0,36,0,10,25.4,57.6,2014,2,9 +28,2.967,3.488,174894,34,435.5,871,64.366,17.6,23.7,12,0,61,0,9.7,20.6,31.7,2014,2,10 +29,2.965,3.448,196915,36,320,871,64.301,20.1,27.3,11.9,0,68,0,6.4,14.8,20.6,2014,2,11 +30,3.625,3.426,164381,35,420.5,841,64.301,22.1,28.1,14.9,0,69,0,7.7,13.9,24.1,2014,2,12 +31,2.991,3.456,231265,37,416.5,833,64.366,22.6,26.4,17.7,0,62,0,8.2,8.1,16.5,2014,2,13 +32,2.995,3.611,178585,37,357.5,715,61.825,17.1,23,12.7,0,68,0.25,10,19.8,35.2,2014,2,16 +33,3.356,3.601,203040,33,330,828,58,18.1,25.7,11.8,0,60,0,10,12.6,25.9,2014,2,17 +34,2.97,3.703,212571,37,453.5,907,65.42,21.6,31.9,11.5,0,57,0,10,15.4,27.8,2014,2,18 +35,3.812,3.585,211797,37,405.5,811,62.023,15.7,25.7,10,0,65,7.37,9.2,22.8,51.9,2014,2,19 +36,3.092,3.561,217368,30,404.5,809,62.218,14.9,20.2,10,0,55,0,10,27.4,44.6,2014,2,20 +37,3.129,3.519,186966,30,280,949,64.366,17.4,24.6,12.8,0,67,0,10,11.3,22.2,2014,2,23 +38,2.721,3.39,233170,37,421.5,843,64.522,19.2,30,12.5,0,62,0,0,17,42.4,2014,2,24 +39,2.994,3.478,240026,37,472,944,65.878,21.1,36.4,12,0,50,0,10,20.4,38.9,2014,2,25 +40,2.977,3.564,221132,44,489.5,979,65.59,15.5,21.5,10,0,61,0,9.7,20,35.2,2014,2,26 +41,3.146,3.67,189753,41,434.5,869,64.522,15.2,21.3,9.6,0,59,0,10,23.3,35.2,2014,2,27 +42,3.17,3.563,248635,42,351,702,62.16,17,23,12,0,67,0,10,15,27.8,2014,3,2 +43,3.177,3.569,226624,37,320,870,66,19.8,27,11.8,0,65,0,10,16.1,42.4,2014,3,3 +44,3.175,3.441,208340,34,437,874,65.531,26.7,34.1,13.5,0,42,0,10,24.8,38.9,2014,3,4 +45,3.182,3.505,217462,33,400.5,801,61.866,16.1,25.9,13.6,0,63,0,10,21.9,27.8,2014,3,5 +46,3.595,3.521,232162,39,477.5,955,65.59,15.7,21,11.7,0,61,0,10,17.4,25.9,2014,3,6 +47,3.044,3.571,213487,39,434,868,64.301,18.1,22.7,11.6,0,74,0,10,17,31.7,2014,3,7 +48,3.033,3.448,227709,39,410,820,63.578,24.5,35.2,17.7,0,37,0,0,17,38.9,2014,3,10 +49,3.156,3.599,249208,48,360,840,65.531,21.5,32.1,14,0,60,3.3,10,17,35.2,2014,3,11 +50,3.155,3.349,228459,44,465,930,64.411,15.6,21.3,9.7,0,59,0,10,16.3,29.4,2014,3,12 +51,3.145,3.31,230038,41,405,810,62.218,17.2,23.7,9.6,0,66,0,10,13,25.9,2014,3,13 +52,3.158,3.499,199081,42,355,710,62.371,15.7,20,10.8,0,52,1.02,10,21,42.4,2014,3,16 +53,3.151,3.476,201565,36,375,750,61.825,18.3,25.3,11.6,0,65,0,10,18.5,35.2,2014,3,17 +54,3.157,3.402,239774,31,425,850,64.366,16.7,25.1,9.6,0,62,0,10,14.1,25.9,2014,3,18 +55,3.158,3.36,222446,35,530,930,65,15.6,23,9.2,0,66,0,10,15.4,29.4,2014,3,19 +56,3.021,3.4,219441,35,457.5,915,65.577,23.1,31.1,9.2,0,28,0,0,22.6,37,2014,3,20 +57,2.482,3.451,230837,40,485,970,65.59,13.2,16.8,9,0,66,0,9.8,13.5,27.8,2014,3,23 +58,3.063,3.426,236305,32,422.5,845,64.301,14.7,18.3,8.9,0,76,1.02,10,15,25.9,2014,3,24 +59,3.077,3.427,233045,30,462.5,925,64.411,18.3,24.3,11.9,0,66,0,10,11.7,22.2,2014,3,25 +60,2.735,3.444,244547,46,422.5,845,64.301,20.3,27.3,12.5,0,70,5.59,8.9,11.9,27.8,2014,3,26 +61,2.972,3.431,233574,34,450,855,64.411,19.6,25.9,15.9,0,84,7.87,8.9,12.6,29.4,2014,3,27 +62,2.997,3.516,246220,41,415,830,64.412,20.2,26.6,14,0,69,0,10,15.2,38.9,2014,3,30 +63,3.003,3.568,267399,35,420,840,65.486,25.2,32,15.4,0,43,0,0,23.5,42.4,2014,3,31 +64,3.004,3.652,289188,41,472.5,945,66.354,26.9,33.7,5.5,0,38,0,0,34.6,46.5,2014,4,1 +65,2.936,3.444,241800,37,380,920,64,16.9,26,13,0,80,0,9.3,16.7,37,2014,4,2 +66,2.97,3.416,257357,37,457.5,915,64.366,15.1,17.3,13.3,0,70,0.25,10,22.2,31.7,2014,4,3 +67,2.97,3.191,254817,40,405,810,62.374,16.4,23.2,11,0,77,0,10,13.1,35.2,2014,4,6 +68,2.993,3.592,265212,36,390,780,62.218,19.9,25.2,10.8,0,53,0,0,21.7,38.9,2014,4,7 +69,3.008,3.432,264549,37,220,835,64.412,17.3,21,15.6,0,86,16.26,8.7,14.8,42.4,2014,4,8 +70,2.905,3.38,310372,32,365,730,61.24,16.4,17.5,16,0,97,18.03,6.3,10.9,18.3,2014,4,9 +71,3.009,3.468,330334,24,323,646,59.603,17.1,18.2,16,0,96,10.41,51.1,14.6,33.5,2014,4,10 +72,3,3.432,288220,34,335,670,61.866,14.1,20.4,8,0,76,0,10,14.6,27.8,2014,4,13 +73,4.799,5.071,300570,44,340,744,56,14.3,20.3,8.1,0,69,0,10,16.9,27.8,2014,4,14 +74,3.041,3.621,272809,42,357.5,715,62.218,14,19.5,8,0,77,0.25,9.8,14.8,25.9,2014,4,15 +75,3.615,3.494,295544,28,345,690,59.446,14.9,22.6,8.9,0,73,0,0,11.5,20.6,2014,4,16 +76,3.042,3.495,214921,34,371,742,62.023,12.4,18.9,9,0,72,1.52,10,18.9,35.2,2014,4,18 +77,3.618,3.483,244534,33,310,740,62.218,15.9,19,10.9,0,48,1.52,0,44.4,59.4,2014,4,21 +78,3.012,3.492,241273,31,340,680,62.023,13.3,17.3,9.5,0,87,3.05,9.7,11.7,37,2014,4,22 +79,3.004,3.417,226195,35,365,730,62.061,14.9,18.8,8.7,0,56,0.51,9.8,15,29.4,2014,4,23 +80,3.016,3.575,197036,38,370,740,61.186,15.7,20.1,3.5,0,47,0,0,25.9,37,2014,4,25 +81,2.996,3.411,200407,42,340,690,60,10.8,16.1,4.8,0,61,0,10,17.6,35.2,2014,4,27 +82,3.27,3.401,221851,36,415,830,63.689,18.8,21,4.2,0,60,0,10,43,57.6,2014,4,28 +83,2.977,3.376,254684,42,407,814,62.246,12.8,20,8.6,0,87,7.87,9.5,17.2,37,2014,4,29 +84,3.109,3.39,210285,27,302.5,605,53.59,9.5,16,4.7,0,72,0,10.9,18.5,40.7,2014,4,30 +85,3.109,3.367,271464,29,400,800,61.384,11.8,16,4.5,0,57,0,10,20.6,37,2014,5,1 +86,3.118,3.322,201502,32,357,714,61.825,10.4,14,7,0,79,1.02,9.8,20.4,35.2,2014,5,4 +87,3.117,3.537,260493,43,260,720,62.16,12.1,16.3,8.3,0,75,0.25,10,15.6,25.9,2014,5,5 +88,3.123,3.478,284909,37,380,760,61.339,10.8,14,8.7,0,78,0.51,10,15.6,24.1,2014,5,6 +89,3.138,3.339,305726,41,385,770,60.757,8.1,14.5,3,0,73,0.25,10,14.1,25.9,2014,5,7 +90,3.217,3.37,285409,46,370,740,61.051,11,17.5,2.3,0,58,0,0,14.3,31.7,2014,5,8 +91,3.124,3.393,242891,43,380,760,62.218,12.2,19,7,0,80,0.51,10,12.4,18.3,2014,5,11 +92,3.109,3.435,244843,32,435,870,63.467,12.1,18.5,6,0,76,0,10,10.7,22.2,2014,5,12 +93,3.909,4.357,261172,36,210,760,57,13.5,20.4,5.2,0,72,0,10,14.6,25.9,2014,5,13 +94,3.162,3.565,269218,40,392.5,785,61.748,16.3,21,7.4,0,62,0,10,30.9,46.5,2014,5,14 +95,3.156,3.48,300138,34,450,900,63.995,17.2,21.6,13.1,0,56,0,0,36.5,46.5,2014,5,15 +96,3.16,3.926,294444,31,367.5,735,61.396,17.1,21.2,15,0,61,0,0,32.6,40.7,2014,5,18 +97,2.971,3.575,299317,34,395,790,61.396,17.2,23,12,0,66,0,0,29.1,42.4,2014,5,19 +98,2.969,3.621,295754,35,440,880,63.728,14.5,22.1,9,0,76,0,10,15.6,31.7,2014,5,20 +99,3.512,3.475,288762,30,390,816,62.023,17.9,23.4,8.6,0,65,0,10,27.4,44.6,2014,5,21 +100,2.806,3.325,304978,33,408,816,61.496,17.8,21,14.6,0,65,3.3,9.8,22.2,40.7,2014,5,22 +101,2.771,3.098,277934,42,355,710,61.719,15.1,19.5,8.8,0,83,0,10,22.4,44.6,2014,5,25 +102,2.733,3.049,271449,30,400,800,61.496,17.9,19.4,8.6,0,68,0,10,30.7,46.5,2014,5,26 +103,2.996,3.363,269010,26,420,840,64.256,14.8,20,10.5,0,72,0.51,10,20.4,27.8,2014,5,27 +104,3.003,3.424,255480,37,392.5,785,61.866,12.2,18.3,7,0,79,0.25,10,15.6,27.8,2014,5,28 +105,3.02,3.371,259464,38,430,815,61,9.9,15,4.6,0,78,0,10,8.1,16.5,2014,5,29 +106,2.996,3.427,244163,31,355,710,61.866,12,14.3,8.7,0,94,5.33,82,5.9,16.5,2014,6,1 +107,3.012,3.431,263614,36,392.5,785,61.339,13.1,15,8.1,0,91,2.29,7.9,13.1,25.9,2014,6,2 +108,3.015,3.502,261779,31,387.5,775,62.061,12.8,16.3,8,0,52,0,0,11,21.8,2014,6,3 +109,3,3.52,194840,38,370,667,61.863,12.9,18,8.2,0,54,3.3,51.3,12,25.9,2014,6,4 +110,3.025,3.569,284030,49,383,766,61.786,9.9,14.9,7,0,56,0,0,7.4,18.3,2014,6,5 +111,3.028,2.807,299010,41,370,740,60.952,11.4,15,5.9,0,56,0.25,0,9.8,20.6,2014,6,6 +112,3.03,4.139,244693,34,350,700,61.228,10.2,14.2,3,0,54,0,51.5,10.9,22.2,2014,6,9 +113,3.186,3.472,239908,42,540,785,60,11.1,18.1,6.3,0,74,0,0,17.8,25.9,2014,6,10 +114,3.001,3.386,269410,43,450,900,63.052,12.4,16.2,6.4,0,74,0,0,25.2,42.4,2014,6,11 +115,3.558,3.726,280648,39,435,870,63.775,12.7,15,9.5,0,75,3.3,10.3,24.1,42.4,2014,6,12 +116,2.975,3.593,250741,35,330,660,61.866,10.9,14.3,7.6,0,79,0.51,0,18,21.8,2014,6,15 +117,3.751,4.333,256136,42,250,711,62.355,11.2,16,8.3,0,52,1.52,51.8,19.4,29.4,2014,6,16 +118,4.515,4.521,260096,34,382,764,61.866,11.6,15.1,8.7,0,76,0,0,11.3,20.6,2014,6,17 +119,3.341,3.605,273464,33,346.5,693,60.662,9.8,13.1,6,0,71,0,10.6,12.6,38.9,2014,6,18 +120,3.014,3.543,270896,35,368.5,737,61.384,10.1,11,5.4,0,52,0,0,31.1,44.6,2014,6,19 +121,3.219,3.42,262206,38,330,750,58,12.4,14.5,7.7,0,75,0,0,35.9,68.3,2014,6,22 +122,3.167,3.689,299892,32,310,620,58.036,8.7,14.6,4.9,0,72,2.79,51.8,26.3,53.5,2014,6,23 +123,3.011,3.553,297802,24,308,616,56.8,10.6,13.6,4.1,0,70,0,0,32.8,74.1,2014,6,24 +124,3.122,3.386,303524,42,568.5,1137,68.183,12.7,15.3,7.7,0,66,0.25,0,29.1,44.6,2014,6,25 +125,2.96,3.306,316848,43,360,720,60.786,11.8,15,6.7,0,66,0,0,27.4,51.9,2014,6,26 +126,3.012,3.586,274982,39,367.5,735,60.981,7.5,11.7,5,0,52,5.59,512,22.8,35.2,2014,6,29 +127,3.228,3.386,281415,33,360,774,60.758,9.7,12.3,4.8,0,50,0.51,51.8,19.8,33.5,2014,6,30 +128,3.018,3.319,291995,44,347.5,695,61.533,11.1,12,7.4,0,75,0,10,16.9,25.9,2014,7,1 +129,3.413,3.606,260039,40,367.5,735,61.541,10.6,15.8,5.5,0,68,0,10,20.4,42.4,2014,7,2 +130,3.015,3.529,274374,39,380.5,761,61.541,8.7,12,5.4,0,82,0,10,35.9,53.5,2014,7,3 +131,3.014,3.424,277587,35,290,580,55.946,9.2,13.2,3.9,0,86,0.25,10.9,16.7,31.7,2014,7,6 +132,3.029,3.283,275868,36,367,734,60.662,10.4,15.3,3.1,0,74,0,10,33,50,2014,7,7 +133,2.715,3.306,279933,33,410,737,50,10.9,13.6,7.9,0,67,0,10,43.5,68.3,2014,7,8 +134,3.275,3.309,311573,37,255,510,57.99,7.7,12.2,4.8,0,84,8.13,9.5,18.3,40.7,2014,7,9 +135,3.011,3.331,305095,49,250,500,58.526,8.9,13.5,4.2,0,80,0,10,26.1,38.9,2014,7,10 +136,3.01,3.525,286865,39,277,554,58.616,11.1,13,3.2,0,67,0,10,17.2,22.2,2014,7,13 +137,3.016,3.389,312907,40,307.5,615,58.617,9.2,12.4,6.6,0,72,0,10,16.5,37,2014,7,14 +138,3.333,3.403,307497,39,300,600,58.616,10,11.6,6.8,0,78,0.51,10,22.6,38.9,2014,7,15 +139,3.021,3.377,256799,31,250,586,54.63,10.4,13.8,7,0,73,0,10,27,38.9,2014,7,16 +140,3.012,3.403,219150,38,337.5,675,60.991,7.2,11.8,4.5,0,70,3.81,10,27.2,57.6,2014,7,17 +141,3.015,3.343,273029,37,372.5,745,61.033,7.6,12.8,4,0,87,0,10,8.3,18.3,2014,7,20 +142,3.009,3.345,342539,31,382.5,765,60.406,7.3,13.4,3,0,86,0.25,6.9,8.9,14.8,2014,7,21 +143,3.278,3.571,354523,40,370,740,60.629,5,10.1,0,0,97,0,4.7,7.8,14.8,2014,7,22 +144,3.013,3.46,352130,40,420,840,62.257,8.6,12.4,-0.4,0,78,0,0,16.5,29.4,2014,7,23 +145,2.988,3.535,339981,39,430,920,46,11.3,14,4.3,0,76,0,10,24.4,35.2,2014,7,24 +146,3.003,3.438,366871,35,306.5,613,56.089,11.3,16.4,5.4,0,71,0,10,29.4,50,2014,7,27 +147,3.17,3.44,315535,33,325,650,61.396,12.2,16.2,7.5,0,67,0.25,10,32.8,46.5,2014,7,28 +148,3.326,3.484,292272,31,341.5,683,61.396,13.8,16,9.1,0,71,0,10,29.1,48.2,2014,7,29 +149,3.03,3.431,300308,36,350,779,61.396,14.8,18,10.2,0,63,0,10,30.6,55.4,2014,7,30 +150,3.264,3.492,315762,29,373,746,60.563,9.1,18.6,4,0,62,6.1,9.2,33.3,53.5,2014,7,31 +151,3.053,3.467,230599,35,279,558,55.946,6.6,13.8,0,0,57,0,10,18.5,25.9,2014,8,3 +152,1.606,3.28,322902,36,369,738,60.601,8.8,14.1,1.4,0,55,0,9.7,16.1,25.9,2014,8,4 +153,3.354,3.175,323313,37,340,706,57,12.3,15.8,4.5,0,62,0,10,13.5,24.1,2014,8,5 +154,3.097,3.613,319754,39,344.5,689,61.533,10.2,15.3,7.6,0,78,0.51,9.7,14.3,22.2,2014,8,6 +155,3.049,3.486,325743,34,352.5,705,61.24,10.8,12.8,10,0,83,0.51,1.5,13,22.2,2014,8,7 +156,3.048,3.347,285829,33,368.5,737,60.662,10.2,15.3,6.7,0,62,0,10,21.5,40.7,2014,8,8 +157,3.219,3.416,306656,37,336.5,673,60.563,6.4,12.3,3.8,0,79,5.33,10,18.9,40.7,2014,8,10 +158,3.025,3.326,326631,30,310,631,59.849,6.6,11.1,3.1,0,79,0,10,11.9,27.8,2014,8,11 +159,3.371,4.007,362228,27,390,780,58.612,8.2,11.5,3.3,0,85,0,10,10.7,22.2,2014,8,12 +160,3.737,4.389,346222,25,309,618,56.764,10,13.5,6.4,0,80,0.51,9.8,10.2,24.1,2014,8,13 +161,4.558,4.834,219950,25,311,622,56.892,7.3,14.5,2.5,0,78,0,10,10.6,18.3,2014,8,14 +162,3.576,4.076,330714,32,240,734,55,10.9,14,7.3,0,75,0,10,22.6,33.5,2014,8,17 +163,3.399,3.648,349739,36,424,848,63.091,10.3,12.7,8.2,0,88,3.81,9.7,18,27.8,2014,8,18 +164,3.352,3.577,323562,24,355,710,59.446,9.9,12,8,0,70,0,10,14.8,24.1,2014,8,19 +165,3.32,3.687,318822,25,478.5,957,63.643,9.5,12.4,5.8,0,75,0,10,11.1,18.3,2014,8,20 +166,3.025,3.53,341913,22,385,770,58.612,10.8,17,5.5,0,73,0,10,17.6,27.8,2014,8,21 +167,3.052,3.261,341476,30,320,640,60.682,11.7,15.5,7.7,0,70,0.51,10,16.5,25.9,2014,8,24 +168,3.048,3.574,333601,25,280,661,59.446,10.6,15.1,7.8,0,91,2.79,6.9,12.6,24.1,2014,8,25 +169,3.041,3.455,305988,35,342.5,685,60.406,10.9,17.7,5,0,80,0.25,10,10.4,22.2,2014,8,26 +170,3.207,3.443,304984,31,509.5,1019,63.643,10.1,19,2.7,0,76,0,8,8,18.3,2014,8,27 +171,3.21,3.552,253707,38,400,800,61.033,11.3,20.3,2.3,0,70,0,5.5,7.2,18.3,2014,8,28 +172,3.061,3.472,316189,33,335,670,61.591,16.2,21,9.9,0,49,0,0,37,51.9,2014,8,31 +173,3.068,3.357,296212,22,387.5,775,59.446,9.7,15.9,7,0,84,8.89,9.7,16.5,27.8,2014,9,1 +174,3.204,3.422,298283,42,400,680,56,8.6,13.8,4.9,0,76,1.52,10,20.9,38.9,2014,9,2 +175,3.09,3.419,293375,36,343.5,687,60.505,7.7,13.1,2,0,74,0,10,11.7,22.2,2014,9,3 +176,3.05,3.528,281730,36,412.5,825,61.033,9.1,14.6,1.7,0,78,0,10,11.7,22.2,2014,9,4 +177,3.319,3.396,294510,35,345,690,60.857,13.6,19.8,4.7,0,56,0,10,22.6,50,2014,9,7 +178,3.16,3.551,235658,42,452.5,905,63.931,17.2,21.2,8.2,0,50,0,10,46.9,64.8,2014,9,8 +179,3.152,3.496,281629,35,625,1250,68.183,12.9,19.6,8,0,79,12.95,9.7,22.4,59.4,2014,9,9 +180,3.149,3.664,240832,32,380,955,63.885,14.4,18,7.4,0,57,3.81,9.3,24.3,33.5,2014,9,10 +181,3.251,3.537,282142,37,475,950,63.643,9.3,15.4,4,0,68,0,10,19.8,38.9,2014,9,11 +182,3.256,3.828,264255,27,330,660,58.711,8.3,14.1,2.9,0,74,0,10,9.1,16.5,2014,9,14 +183,3.604,4.176,287358,34,425,850,62.257,13.3,18.1,6.4,0,79,0,9.2,14.1,24.1,2014,9,15 +184,3.908,4.724,295183,30,410,820,61.24,10.4,14,6.9,0,82,2.03,9.2,17,31.7,2014,9,16 +185,4.202,4.355,322165,37,360,940,62.479,16.5,26,6.6,0,62,1.52,10,28.9,57.6,2014,10,6 +186,3.768,4.26,331715,33,382.5,765,60.563,11.3,16.9,6.7,0,64,0.25,10,20,38.9,2014,10,7 +187,3.459,3.998,310535,38,386.5,773,60.406,12.8,19.8,6.5,0,70,0.25,10,13.5,24.1,2014,10,8 +188,3.897,3.674,299576,31,387.5,775,61.591,17.3,23.5,7.4,0,48,0,0,21.1,44.6,2014,10,9 +189,3.003,3.686,257216,39,370,681,61,16.5,31.3,6.9,0,55,2.03,10.3,21.3,35.2,2014,10,12 +190,3.179,3.769,266428,39,375,750,61.748,10.2,15.6,7.6,0,67,7.11,10,28,44.6,2014,10,13 +191,3.271,3.605,263099,34,325,650,60.662,9.6,15.6,4.6,0,61,0,10,22,42.4,2014,10,14 +192,3.322,3.992,252674,25,350,700,59.239,11.4,15.7,4.3,0,64,0,10,15.4,27.8,2014,10,15 +193,3.331,3.759,237415,25,348.5,697,60.073,11.3,15.9,7,0,71,1.27,9.8,15.7,27.8,2014,10,16 +194,3.591,4.062,244135,42,355,710,62.569,15.8,28.2,9,0,55,0,10,28.9,48.2,2014,10,19 +195,3.728,3.533,242707,41,280,995,63.052,12.7,21,5.5,0,59,0,0,19.1,33.5,2014,10,20 +196,3.093,4.072,259769,51,414.5,829,63.006,21,27.6,5,0,48,0,0,27.6,57.6,2014,10,21 +197,3.531,3.915,245832,52,422.5,845,64.849,20.8,31.3,13.7,0,56,0,8.2,22.8,46.5,2014,10,22 +198,3.483,3.595,248445,48,370,740,62.246,16.1,26,13,0,81,0,9,13.1,33.5,2014,10,23 +199,3.357,3.661,283443,29,407.5,815,61.69,19.2,25.2,11.5,0,52,16.51,9.5,21.5,42.4,2014,10,26 +200,3.33,3.583,305252,24,310,620,57.281,13.1,25.2,8,0,55,0.76,10,26.1,50,2014,10,27 +201,3.267,3.59,287551,34,360,735,64,13.6,20,8,0,62,0.51,10.9,21.1,38.9,2014,10,28 +202,3.039,3.516,169942,40,421,842,63.729,15.6,23,7.7,0,64,0,10,10.7,27.8,2014,10,29 +203,3.939,4.498,263759,41,412.5,825,61.891,14.7,24,8,0,65,0,10,14.4,29.4,2014,10,30 +204,4.378,4.414,272029,38,327.5,655,61.033,11.2,17,6.7,0,65,0,10,15.7,31.7,2014,11,2 +205,3.455,3.638,272830,26,305,610,53.636,18.4,29.3,10.4,0,37,0,10,28.9,42.4,2014,11,4 +206,3.398,3.709,245850,32,260,655,61.339,12.3,18.2,7,0,60,0,10,19.1,31.7,2014,11,5 +207,3.057,3.809,283417,48,370,740,62.412,16.1,27,7.3,0,50,0,10,14.8,31.7,2014,11,6 +208,3.43,3.639,221996,39,370,740,62.218,13.9,19.9,8,0,61,0,10,18.9,29.4,2014,11,9 +209,3.313,3.472,257268,28,350,700,60.424,14.3,20.5,8.3,0,57,0,10,23,35.2,2014,11,10 +210,3.115,3.475,277460,28,365,730,58.612,12,18.3,5.9,0,63,0,10,15.4,27.8,2014,11,11 +211,3.752,4.458,241697,26,455,910,62.941,16.9,27.4,5,0,53,0,0,12.2,27.8,2014,11,12 +212,3.746,3.868,250057,40,350,715,54,27.2,33.4,18.9,0,20,0,0,20.2,37,2014,11,13 +213,3.438,3.814,265479,21,216,432,53.053,14.5,20.2,10.1,0,62,0.51,10,20.9,35.2,2014,11,16 +214,3.4,3.75,224226,37,335,670,62.023,14.1,21.2,8,0,59,0.25,10,18.3,37,2014,11,17 +215,2.529,3.749,250850,41,412.5,825,62.218,15.1,20.2,7.3,0,63,0,10,14.3,25.9,2014,11,18 +216,3.542,3.938,249239,48,430,840,63.885,23.5,29,9.6,0,26,0,0,26.3,59.4,2014,11,19 +217,3.827,4.17,266688,44,350,700,63.521,20.9,31.2,15,0,55,0,10,23.3,44.6,2014,11,20 +218,3.62,3.992,116638,34,267.5,535,55.506,18.2,25.7,12,0,64,0,10,15.4,46.5,2014,11,23 +219,3.994,4.05,254734,33,360,720,62.023,13.7,22.8,8.6,0,80,4.57,10,19.4,42.4,2014,11,24 +220,3.846,3.889,261025,35,360,600,54,14.7,21.6,8.5,0,55,0,10,18.5,29.4,2014,11,25 +221,3.216,3.628,269985,37,380,760,61.866,14.1,18,8.5,0,64,0,9.7,16.9,27.8,2014,11,26 +222,3.366,3.788,278556,25,415,830,63.155,14,18.8,10,0,67,0,10,15.4,29.4,2014,11,27 +223,3.644,3.852,270675,41,347,694,62.865,28.1,35,14.2,0,37,0,10,29.6,64.8,2014,11,30 +224,3.424,3.745,263073,34,320,640,60.938,19.7,28.7,15,0,72,0.51,10,14.4,33.5,2014,12,1 +225,3.489,3.759,254788,40,755,1510,68.183,19.1,27.2,14.7,0,68,0,10,14.6,29.4,2014,12,2 +226,3.485,3.763,258868,50,472.5,945,64.477,18.6,23.2,15.2,0,84,10.92,8.4,15.2,29.4,2014,12,3 +227,2.878,3.744,283142,42,290,775,61.533,20.5,26,16,0,74,0.25,9.8,17.8,25.9,2014,12,4 +228,3.799,4.033,270596,22,380.5,761,59.446,15.2,17.3,13.2,0,88,0.76,9,15.6,27.8,2014,12,7 +229,3.506,3.52,226507,28,340,680,59.545,16.2,20.1,13.9,0,72,0,10,17.2,25.9,2014,12,8 +230,2.74,2.854,262896,30,420,840,63.136,15.5,21.5,10.9,1015.7,71,0,16.3,11.6,20.6,2014,12,9 +231,3.779,4.215,249125,30,290,760,69,17.1,20.3,10.7,0,50,0.51,9.8,19.4,31.7,2014,12,10 +232,3.861,4.326,271225,36,442.5,885,63.886,16.6,20.7,13.8,0,76,0.25,10,23.2,40.7,2014,12,11 +233,3.747,3.932,203326,35,385,770,61.668,18.8,26.9,14,0,66,0,10,15.4,29.4,2014,12,14 +234,3.688,3.939,235077,34,380,760,61.866,18.6,25.1,13.5,0,74,0,9,13.1,24.1,2014,12,15 +235,3.238,3.635,270652,34,420,1130,67.315,18.4,33.6,8.7,0,35,0,10,28.3,64.8,2014,12,16 +236,3.429,4.027,247302,34,533.5,1067,64.953,15.9,23,8.5,0,48,0,0,16.1,29.4,2014,12,17 +237,4.893,5.121,229587,30,460,920,63.931,15,24.4,9,0,61,1.78,9.8,21.7,61.1,2014,12,18 +238,3.598,4.028,271184,34,290,755,60,23.2,33.3,10.6,0,47,0,9.8,14.3,35.2,2014,12,21 +239,3.418,3.735,266258,34,405,810,61.24,22.7,26,15.8,0,67,0.51,10,9.4,22.2,2014,12,22 +240,3.257,3.552,257576,25,415,830,63.201,17.9,28.7,10,0,67,0,9.8,18.5,31.7,2014,12,23 +241,3.269,4.05,246012,30,345,690,62.061,14.1,19.9,7.9,0,57,0,10,17.2,31.7,2014,12,26 +242,3.06,3.744,222378,34,370,680,63.227,24.1,33.4,10.7,0,32,0,0,16.7,35.2,2014,12,28 +243,3.848,3.984,186601,34,415,830,63.885,16.6,28.6,10.6,0,48,1.02,10,27.8,53.5,2014,12,29 +244,3.492,3.835,200055,41,405,810,62.243,15.9,24.2,8,0,52,0,10,21.9,44.6,2014,12,30 +245,3.499,3.793,219828,42,470,940,66.354,19.4,32,10.8,0,63,0,10,14.3,35.2,2015,1,1 +246,3.546,4.045,214449,40,365,730,62.019,16.8,24.8,11,0,64,0,10,17.6,31.7,2015,1,4 +247,3.863,4.326,221233,39,360,900,70,18.7,24.6,11.3,0,65,0,10,16.3,25.9,2015,1,5 +248,4.137,4.487,271295,29,465,930,65.049,22.7,33,13.8,0,62,0,9.3,14.4,37,2015,1,6 +249,3.689,4.051,310031,38,482.5,965,65.878,29.2,40.3,16.3,0,43,1.52,10,20.9,50,2015,1,7 +250,1.795,3.704,259810,37,442.5,885,64.523,21.9,29.9,16,0,72,2.79,8,14.4,35.2,2015,1,8 +251,3.044,4.3,184752,32,375,750,61.668,20.5,28.1,14.8,0,69,0,10,17.6,31.7,2015,1,11 +252,2.809,4.459,185148,36,425,850,65.531,25.3,31.2,14.6,0,49,0,10,17.6,35.2,2015,1,12 +253,3.634,3.719,287118,40,350,865,63.885,21.1,25.5,17,0,78,11.18,10.6,24.8,46.5,2015,1,13 +254,3.026,3.651,292543,32,355,710,61.396,17.4,22.6,14,0,72,0,10,28.5,42.4,2015,1,14 +255,3.095,3.713,266493,39,405.5,811,61.591,15.1,20.5,9.6,0,71,0,10,17.2,29.4,2015,1,15 +256,3.035,3.402,203637,50,405,810,62.214,15.7,20.1,11.6,0,52,0,10,23.2,31.7,2015,1,18 +257,3.327,3.527,226385,40,395,790,62.569,17.2,24,10,0,55,0,0,21.5,42.4,2015,1,19 +258,3.213,2.713,251356,44,422,844,64.522,23.8,30.1,10.1,0,47,0,10,20,38.9,2015,1,20 +259,3.38,4.108,258384,50,320,945,68,24.9,33.7,17,0,50,0,8.4,16.9,35.2,2015,1,21 +260,4.411,5.017,236364,53,425.5,851,65.531,25.4,36,16.7,0,52,0,0,15.7,37,2015,1,22 +261,4.127,4.055,234543,49,450,900,64.523,20,29.6,11.9,0,58,0,9.8,18.1,35.2,2015,1,24 +262,4.035,4.2,236791,38,340,680,62.218,15.3,21.5,7.5,0,54,0,10,23.2,33.5,2015,1,26 +263,3.056,3.916,269257,39,360,720,61.814,15.9,20.5,11,0,58,0,10,25.2,35.2,2015,1,27 +264,4.1,5.32,268005,38,405,810,61.591,17.6,25.5,10.7,0,52,0,10,28,50,2015,1,28 +265,5.985,4.579,202419,43,290,875,64.522,16.4,22.8,10.4,0,57,0,10,25.6,42.4,2015,1,29 +266,2.146,3.882,184654,49,290,580,58.389,15.8,23,12,0,71,0.51,9.7,24.3,33.5,2015,1,31 +267,4.605,4.563,223394,40,346.5,693,62.317,15.7,19,12.2,0,74,1.52,10,24.6,33.5,2015,2,1 +268,4.75,6.509,210924,32,380,760,62.023,17.4,23.6,13.9,0,64,0,10,21.7,35.2,2015,2,2 +269,5.969,6.553,241560,31,397.5,795,62.061,17.2,22.7,13.7,0,58,0,10,22.8,31.7,2015,2,3 +270,5.969,6.302,247056,43,350,865,73,15.3,20.2,10.6,0,66,0.25,10,19.1,35.2,2015,2,4 +271,6.361,7.9,235506,42,452.5,905,64.366,19.1,28,10.1,0,63,0,10,15.9,27.8,2015,2,5 +272,4.879,4.666,246107,38,420,840,64.366,17.1,26.7,13,0,67,0,10,21.3,29.4,2015,2,8 +273,4.272,4.533,242358,35,383.5,767,61.866,19.9,28,12.7,0,64,0,10,15.9,27.8,2015,2,9 +274,3.71,4.105,224013,36,370,840,65.531,23.9,31.1,14.9,0,58,0,0,16.9,40.7,2015,2,10 +275,3.658,4.028,228766,36,425,850,65.531,22.1,35.4,15.9,0,61,0,10,22,38.9,2015,2,11 +276,4.355,4.672,252061,37,370,740,62.023,18.9,28,14,0,63,0,10,15.6,37,2015,2,12 +277,4.082,3.767,265724,38,407.5,815,61.339,20.1,26.9,14.7,0,79,0,10,12.4,27.8,2015,2,14 +278,3.082,3.859,264516,30,340,680,62.443,26.2,34.7,14.6,0,41,0,10,14.8,29.4,2015,2,15 +279,3.894,4.117,249175,38,350,890,74,19.5,28.8,15.6,0,64,0,10,21.3,31.7,2015,2,16 +280,3.758,3.917,251137,39,435,870,64.256,17.6,20.7,16,0,75,0,10,15.4,20.6,2015,2,17 +281,3.744,3.799,242665,42,455,910,64.411,18.7,21.6,15.8,0,78,0,10,15.9,24.1,2015,2,18 +282,3.037,3.801,234605,36,375,750,62.875,21.5,31,15,0,70,0,10,13,25.9,2015,2,19 +283,4.186,4.223,252788,39,350,610,58.754,27.8,37,19,0,42,0,10,24.1,48.2,2015,2,22 +284,3.418,3.737,256896,36,333.5,667,61.396,17.9,30,14.9,0,67,13.72,9.2,22.2,38.9,2015,2,23 +285,3.428,4.257,243380,33,395,790,62.023,16.7,20.5,13.7,0,64,0,10,18.3,33.5,2015,2,24 +286,3.729,4.16,209192,33,390,780,61.866,20.4,27.6,13.5,0,66,0,10,12.8,22.2,2015,2,25 +287,3.419,3.883,252085,50,550,1100,68.82,19,25.3,13.9,0,72,0,10,13.5,24.1,2015,2,26 +288,4.189,4.452,294669,36,335,670,61.396,15,21.6,9,0,70,0,10,18.3,33.5,2015,3,1 +289,4.18,4.032,305444,37,360,610,56,18.5,24.1,8.7,0,59,0,10,10.6,16.5,2015,3,2 +290,4.483,4.823,291851,40,395,790,61.591,17.3,23,13,0,67,0,10,12.4,22.2,2015,3,3 +291,3.9,4.039,291310,46,350,700,61.885,17.8,25,9,0,51,0.25,9.7,22.8,42.4,2015,3,4 +292,3.312,3.895,249632,41,415,830,64.522,15.4,20.3,9.2,0,49,0,10,25.7,38.9,2015,3,5 +293,3.465,3.716,251624,43,465,930,64.523,16.4,20.8,12,0,80,1.02,10,17.6,37,2015,3,6 +294,3.493,3.789,248311,39,330,660,62.317,18.1,24.4,12.2,0,60,0,10,15.6,33.5,2015,3,9 +295,3.521,3.787,290098,36,540,1260,68.82,16.1,23.3,10,0,61,0,10,12.8,24.1,2015,3,10 +296,3.519,3.61,277457,35,375,750,61.434,17.6,26.6,9.3,0,57,0,10,15,29.4,2015,3,11 +297,3.536,3.835,278587,39,365,730,61.942,15.9,20,10.2,0,52,0,9.8,25,35.2,2015,3,12 +298,2.961,3.605,294721,39,290,580,58.616,13.8,21,8.5,0,69,0,10,19.3,35.2,2015,3,15 +299,3.173,3.717,286156,36,360,720,61.591,21.3,24.2,7.7,0,40,0,0,20.4,40.7,2015,3,16 +300,3.599,3.532,268211,44,641,1282,68.82,21.4,27,14.7,0,48,1.27,9,29.1,53.5,2015,3,17 +301,2.934,3.992,209680,44,360,860,62,20.2,26,14.6,0,62,0,10,20.7,57.6,2015,3,18 +302,4.147,3.606,228052,42,415,830,65.531,19.8,33,10,0,52,0,10,28.9,61.1,2015,3,19 +303,3.561,4.495,267762,43,380,760,62.441,23.2,28,8.2,0,38,0,10,28,44.6,2015,3,22 +304,3.697,4.166,276968,44,440,880,64.477,18,27,11.9,0,58,0,10,23.9,40.7,2015,3,23 +305,3.47,3.516,254816,36,850,1700,68.82,13.4,15,10.7,0,56,0,10,19.8,31.7,2015,3,24 +306,2.946,3.578,288791,48,470,940,65.114,14,21,7,0,54,0,10,15.9,33.5,2015,3,25 +307,2.962,3.68,293262,37,540,1027,65.114,14.5,19,6.9,0,51,0,10,29.6,44.6,2015,3,26 +308,3.049,2.972,257723,43,380,760,61.451,16,24,6.6,0,58,0,0,13.1,24.1,2015,3,29 +309,3.696,4.259,260068,35,350,855,58,16.1,24,8.4,0,64,0,10,12,27.8,2015,3,30 +310,2.987,3.816,264152,34,420,970,64.477,19.8,27,9.2,0,50,0,0,18.1,44.6,2015,3,31 +311,3.751,3.804,261656,49,570,1140,68.82,21.5,30,10,0,42,0,10,28,44.6,2015,4,1 +312,3.266,3.687,199607,42,370,740,61.186,13.2,19,5.2,0,67,0,10,18.1,27.8,2015,4,3 +313,3.147,3.608,203120,38,410,820,62.061,16.4,18,7.2,0,40,0,0,10.4,20.6,2015,4,6 +314,2.698,3.47,235405,35,480,885,65.59,12.3,17,8.4,0,82,8.89,8.5,27,40.7,2015,4,7 +315,2.977,2.679,266782,26,432.5,865,62.94,12.5,17,6.6,0,76,0,10,16.3,31.7,2015,4,8 +316,3.418,4.126,263134,36,495,990,64.757,12.9,18.3,6.2,0,72,0,10,14.8,22.2,2015,4,9 +317,3.267,3.522,283802,38,310,620,59.316,11.5,18.3,5,0,73,0,10,13.1,27.8,2015,4,12 +318,3.231,3.635,290642,30,475,950,65.114,14.6,21,12,0,68,0,9.5,8.5,14.8,2015,4,13 +319,2.963,3.603,307803,37,442.5,885,63.995,19.3,25,16,0,56,0,10,24.6,38.9,2015,4,14 +320,2.972,3.445,328693,30,590,900,66,19.6,27,14,0,64,0,10,21.9,51.9,2015,4,15 +321,3.364,3.901,324639,37,480,960,65.114,13.3,18,8,0,70,0,10,11.1,25.9,2015,4,16 +322,3.018,4.054,226162,29,320,640,60.632,9.6,13,5,0,66,0,10,21.1,46.5,2015,4,19 +323,3.789,3.732,281335,43,480,960,64.28,10.1,15.3,5,0,65,0,10,19.3,35.2,2015,4,20 +324,3.418,3.37,349614,34,395,790,61.24,12,17,7,0,71,0,10,16.9,31.7,2015,4,21 +325,3.93,6.605,222194,29,342.5,685,61.866,14.8,18.1,11.5,0,82,0,10,19.8,31.7,2015,4,22 +326,5.774,9.622,299114,29,510,970,65.114,14.9,17,12,0,86,0,9.3,12,20.6,2015,4,23 +327,3.277,4.007,346056,26,387.5,775,59.603,11.3,15.2,9.9,0,78,0,9.7,22.2,33.5,2015,4,26 +328,4.23,3.846,309250,34,485,970,65.114,11.3,14.4,8,0,78,0,10,14.6,25.9,2015,4,27 +329,2.91,3.144,317141,35,367.5,735,60.406,10.5,15,5.8,0,82,0,10,12,25.9,2015,4,28 +330,4.702,5.906,259241,42,520,945,62,10.4,17,6,0,74,0,10,11.1,18.3,2015,4,29 +331,4.401,4.079,300014,42,460,920,63.004,11.9,19,5,0,69,0,10,11.7,22.2,2015,4,30 +332,3.844,4.465,322354,35,367.5,735,60.406,11.6,18,6.5,0,78,0,9.3,12.4,22.2,2015,5,3 +333,4.272,5.115,316828,33,370,740,61.591,17.2,22,11.8,0,49,0,9.3,36.9,55.4,2015,5,4 +334,4.468,4.126,278662,34,430,860,63.949,12.1,16,8,0,56,0,10,27,57.6,2015,5,5 +335,3.571,3.874,262781,49,460,920,64.523,10.9,16,8,0,68,0,9.7,23,40.7,2015,5,6 +336,3.659,3.822,275288,34,530,940,65.114,11.1,14.3,9,0,71,0,10,21.5,42.4,2015,5,7 +337,3.572,4.096,329601,35,305,610,56.089,12.9,15,10,0,73,0,9.7,28,44.6,2015,5,10 +338,3.535,3.935,307695,35,372.5,745,61.396,13.6,15.2,12,0,66,0,9.8,22,38.9,2015,5,11 +339,3.566,4.077,351864,33,380,760,60.563,9,16.2,5,0,69,0,9.8,29.1,51.9,2015,5,12 +340,3.434,4.018,361830,25,290,570,40,9.3,12,7,0,73,0,10,24.3,33.5,2015,5,13 +341,3.396,3.711,341750,30,325,650,61.24,12.2,15,10.5,0,85,0,8.2,21.7,31.7,2015,5,14 +342,4.316,5.744,374614,26,295,590,53.295,12.9,20,6,0,68,0,10,17.8,25.9,2015,5,17 +343,3.429,3.224,359322,33,337.5,675,61.591,14.9,19,11,0,54,0,0,25,46.5,2015,5,18 +344,4.392,4.919,263942,36,370,750,61.396,13.5,16,11,0,83,0,10,26.5,42.4,2015,5,19 +345,3.505,3.748,361360,34,380,760,61.396,11.9,18,8.8,0,81,0,8.4,21.9,33.5,2015,5,20 +346,3.882,4.158,368798,27,297.5,595,53.295,10.3,12,8,0,94,0,9,10.6,18.3,2015,5,21 +347,3.653,3.961,334780,33,382.5,765,60.406,10.3,17,6,0,71,0,0,14.8,24.1,2015,5,24 +348,3.244,3.697,361330,36,440,975,68,9.9,16,5,0,72,0,0,20.2,27.8,2015,5,25 +349,3.38,3.786,378301,31,410,820,61.396,12.3,15,9.5,0,65,0,0,27.4,44.6,2015,5,26 +350,3.558,3.979,324196,28,350,700,59.603,13.7,17,11.9,0,74,0,10,35.7,42.4,2015,5,27 +351,3.815,4.688,307174,31,368,736,60.563,13.4,19,6,0,64,0,10,22.8,35.2,2015,5,28 +352,3.865,3.716,246106,40,460,710,61.608,8.3,16,3,0,50,0,9.8,21.3,35.2,2015,5,31 +353,2.958,3.652,267978,34,320,640,59.948,7.2,10,5,0,78,0,10,18,27.8,2015,6,1 +354,3.699,3.979,266112,37,405,810,61.033,8.1,10,6,0,92,0,9.5,9.8,20.6,2015,6,2 +355,3.483,3.633,295506,38,365,730,60.563,7.6,11,4,0,77,0,10,13,37,2015,6,3 +356,2.989,3.54,303551,37,407.5,815,60.758,7.6,10,6.7,0,50,0,10,33.5,42.4,2015,6,4 +357,3.651,3.837,285824,31,395,790,61.866,10.7,13,8.8,0,76,0,9.8,17.4,27.8,2015,6,5 +358,3.453,4.079,275973,35,320,890,62,13.7,17,5,0,66,0,9.3,28.7,40.7,2015,6,8 +359,3.096,3.286,313947,32,345,690,60.406,8.6,13,5,0,73,0,10,18.1,31.7,2015,6,9 +360,3.068,3.367,294143,32,420,840,62.257,8.8,11.2,3,0,72,0,10,13,24.1,2015,6,10 +361,2.971,3.194,312226,37,480.5,961,63.643,7.5,13,3,0,52,0,9.8,7.6,14.8,2015,6,11 +362,2.96,3.452,307405,38,383.5,767,60.406,10.8,17,6,0,78,0,10,8.9,16.5,2015,6,14 +363,2.967,3.434,266534,42,750,1500,68.183,12.6,17,10,0,50,0,7.2,5,20.6,2015,6,15 +364,2.944,3.304,286756,40,440,920,63.155,12.7,15.2,11,0,56,0,10,8.3,22.2,2015,6,16 +365,2.987,4.158,290286,40,450,900,63.201,11.8,14,9.8,0,56,0,9.8,14.4,25.9,2015,6,17 +366,3,3.218,271786,34,456,912,62.895,8.7,11.3,5,0,54,0,10,15.9,29.4,2015,6,18 +367,3.011,3.581,256123,38,562.5,1125,68.183,7.3,12,3,0,66,0,10,26.1,51.9,2015,6,21 +368,3.022,3.512,264775,39,370,800,60.885,10.4,12,5,0,66,0,10,38.7,51.9,2015,6,22 +369,3.26,3.471,329228,49,370,840,63.312,13.2,17,8.9,0,65,0,10,31.9,46.5,2015,6,23 +370,3.023,3.18,235591,42,760,875,60,11.1,16,7.9,0,77,0,9.8,15.2,22.2,2015,6,24 +371,3.022,3.105,255570,45,450,900,63.729,11.4,13,10,0,74,0,10,13.1,27.8,2015,6,25 +372,3.013,3.188,272990,46,371,742,61.256,9.9,14,5,0,77,0,10,8.5,16.5,2015,6,28 +373,3.024,3.138,266714,41,485,970,63.643,7.8,13,3.5,0,51,0,9.8,8.5,14.8,2015,6,29 +374,3.019,3.154,277412,36,521,1042,64.12,9.8,12.4,5,0,70,0,10,9.8,15.3,2015,6,30 +375,2.992,3.252,267615,35,437.5,875,63.84,11.1,14,9,0,59,0,9.5,22.2,33.5,2015,7,1 +376,2.849,3.27,262835,33,360,730,61.19,7.3,11.1,3,0,70,0,10,18.1,40.7,2015,7,2 +377,3.048,3.223,230251,44,515,1030,64.953,9.9,15,7,0,60,0,9.5,33.7,44.6,2015,7,5 +378,2.961,3.204,228277,34,494,988,64.953,8.3,11,7,0,80,0,1,26.5,35.2,2015,7,6 +379,2.653,3.292,268192,42,526.5,1053,63.643,8.1,14,2,0,83,0,10,12,22.2,2015,7,7 +380,3.026,3.228,255014,42,370,884,66,10.7,14,8.7,0,71,0,10,17.2,25.9,2015,7,8 +381,3.03,3.345,320720,37,490,980,63.643,9.7,12,6,0,71,0,10,22.6,35.2,2015,7,9 +382,3.037,3.356,186893,25,340,680,59.396,9,11,6,0,92,0,5,28,38.9,2015,7,12 +383,2.901,4.444,258631,20,250,500,53.152,8.7,12,6.8,0,77,0,10,24.6,33.5,2015,7,13 +384,3.399,3.456,345185,31,200,593,54.531,5.9,9,3,0,81,0,10,20,50,2015,7,14 +385,3.029,3.46,350890,37,327,654,60.406,7.4,9,5,0,82,0,10,9.8,20.6,2015,7,15 +386,3.274,3.356,295550,38,395,790,61.033,8.4,12,6,0,79,0,9.7,21.1,29.4,2015,7,16 +387,3.006,3.245,266787,30,440,880,60.852,5.2,13,-1,0,75,0,10,10,20.6,2015,7,19 +388,3.607,3.818,208687,36,450,960,58,9.8,14,5,0,61,0,10,27,48.2,2015,7,20 +389,3.008,3.381,256514,41,497.5,995,64.953,12.7,15.2,11,0,67,0,9.5,39.6,55.4,2015,7,21 +390,3.007,3.36,264696,48,480,960,64.12,9.8,15.3,6,0,74,0,1,18.9,31.7,2015,7,22 +391,3.108,3.437,279179,37,489,978,64.953,10.4,14,7,0,81,0,1,22.8,33.5,2015,7,23 +392,3.155,3.242,288225,30,300,760,61.19,6.6,11,4,0,67,0,10,27.8,61.1,2015,7,26 +393,3.403,3.741,301315,36,415,830,63.091,8.9,13,6.9,0,73,0,10,20.6,31.7,2015,7,27 +394,2.998,3.713,306927,26,590,1180,68.183,9.9,14,5.8,0,74,0,1,13.9,22.2,2015,7,28 +395,3.449,3.809,264852,26,488.5,977,64.953,9.3,13,7,0,67,0,1,28.9,55.4,2015,7,29 +396,3.318,3.722,267722,40,495,990,64.12,7.8,11,4,0,73,0,1,32,64.8,2015,7,30 +397,3.23,3.667,334956,41,425,850,62.479,10.1,14,6,0,62,0,9.8,27.4,38.9,2015,8,2 +398,2.995,3.686,330269,32,340,1050,51,5.6,10,2,0,67,0,10,20,37,2015,8,3 +399,3.575,3.621,328755,36,450,900,62.367,8.6,10,6,0,66,0,9.8,22,31.7,2015,8,4 +400,2.984,3.577,341811,29,554,1108,68.183,7.4,11,4,0,76,0,9.8,23.9,40.7,2015,8,5 +401,3.447,3.664,305398,28,400,800,58.612,9.3,13,6,0,85,0,10,17.2,31.7,2015,8,6 +402,3.274,3.67,314875,42,440,880,63.248,9.5,12,7.8,0,72,0,10,31.9,57.6,2015,8,9 +403,2.992,3.527,306061,45,460,920,62.524,9.8,15,6,0,69,0,10,27.2,53.5,2015,8,10 +404,3.067,3.451,313726,27,360,952,63.312,10.9,14,7,0,57,0,10,31.1,48.2,2015,8,11 +405,2.98,3.363,307656,23,500,1000,64.477,8.9,12,7,0,81,0,10,16.7,24.1,2015,8,12 +406,2.979,3.342,297035,34,460,920,63.201,10.5,12,8,0,65,0,10,16.7,25.9,2015,8,13 +407,4.322,4.798,315056,47,415,830,63.312,11.3,15,8,0,67,0,9.3,21.7,35.2,2015,8,16 +408,3.305,3.744,363624,45,450,900,62.524,6.6,11,4,0,77,0,10,18.7,33.5,2015,8,17 +409,3.215,3.779,335108,43,412.5,825,60.757,7.8,10,5.6,0,78,0,10,6.3,16.5,2015,8,18 +410,2.924,3.764,317375,42,470,840,61,8.8,13,4.7,0,64,0,10,16.1,44.6,2015,8,19 +411,3.098,3.658,338254,44,470,940,64.477,13,16,11,0,55,0,0,39.3,51.9,2015,8,20 +412,3.261,3.536,324078,45,410,820,61.463,10.9,16,7,0,74,0,10,15.2,22.2,2015,8,23 +413,3.056,2.88,342521,44,415,830,63.248,10.3,12,9,0,73,0,10,28,37,2015,8,24 +414,2.702,3.948,291742,47,438,876,63.091,9.9,13,7,0,76,0,9.8,17.4,31.7,2015,8,25 +415,3.454,3.39,310756,46,503.5,1007,64.477,11.1,15,8.6,0,72,0,9.8,7.4,13,2015,8,26 +416,3.289,3.545,225561,42,310,735,61.198,9.4,11.2,6.6,0,92,0,9.3,17.2,29.4,2015,8,27 +417,2.994,3.475,258161,41,380,760,60.728,8.7,11,6.5,0,78,0,10,13.7,22.2,2015,8,30 +418,2.997,3.303,247673,36,425,850,62.83,8.4,13,1.8,0,68,0,10,11.7,20.6,2015,8,31 +419,3.091,3.322,271978,40,492.5,985,64.477,11.2,16,9,0,59,0,10,22.2,37,2015,9,1 +420,2.954,3.449,283458,37,330,880,60,12.3,18,9,0,73,0,10,15.4,37,2015,9,2 +421,3.033,3.306,298037,51,500,1000,63.643,9.4,13.1,4,0,79,0,10,17.8,35.2,2015,9,3 +422,3.01,3.31,296488,50,417,834,63.312,10.8,15,8,0,66,0,9.8,29.3,50,2015,9,6 +423,3.025,3.28,255120,43,435,870,63.293,9.4,12,8,0,71,0,9.5,22.6,40.7,2015,9,7 +424,3.012,3.247,263866,48,340,780,61.632,10.3,13,9,0,77,0,8.9,17,31.7,2015,9,8 +425,1.868,3.394,299105,48,455,910,63.201,10.9,14,8,0,74,0,10,14.4,31.7,2015,9,9 +426,3.491,3.356,284981,45,470,940,64.12,9.3,16,4,0,77,0,10,13.5,29.4,2015,9,10 +427,2.934,3.38,246534,36,413,826,62.218,18.8,24,15,0,49,0,0,32.4,48.2,2015,9,13 +428,3.136,3.385,296682,30,380,769,52,18,25.7,9.9,0,55,0,9,27.8,48.2,2015,9,14 +429,2.99,3.261,288903,29,313.5,627,58.136,10.6,16,6,0,69,0,10,18.5,35.2,2015,9,15 +430,4.36,5.105,304905,33,380,760,61.339,10.6,15,7,0,77,0,9.8,11.7,27.8,2015,9,16 +431,5.116,6.025,289703,26,313.5,627,57.178,10.9,14,8.8,0,78,0,9.7,14.3,27.8,2015,9,17 +432,5.381,5.589,286984,36,350,747,62.218,16.8,22,13,0,55,0,10,26.9,42.4,2015,9,20 +433,3.229,3.711,248065,37,494,988,64.12,10.1,17.1,5.9,0,69,0,10,22.2,37,2015,9,21 +434,3.659,3.554,244697,49,426,852,63.006,8.1,12,4.9,0,64,0,10,23,42.4,2015,9,22 +435,3.003,3.592,228784,54,661,1322,68.183,8.6,12.6,4,0,62,0,10,18.5,31.7,2015,9,23 +436,3.257,3.476,236778,51,449,898,62.895,9.1,15,1.9,0,74,0,10,15.4,27.8,2015,9,24 +437,3.3,3.735,230818,38,442.5,885,63.097,13.3,21,5,0,53,0,10,13.7,33.5,2015,9,27 +438,3.289,3.578,208883,45,514,1028,64.12,13.3,22,6,0,56,0,10,13.9,22.2,2015,9,28 +439,3.033,3.472,236426,48,458.5,917,63.774,12.3,17,9.8,0,67,0,10,14.4,27.8,2015,9,29 +440,2.978,3.435,277242,54,570,1193,86,10,17,4,0,66,0,10,17.6,25.9,2015,9,30 +441,3.124,3.376,201316,41,449.5,899,63.931,21.6,28,17,0,33,0,0,31.3,51.9,2015,10,2 +442,2.969,3.296,238051,39,479,958,64.953,18.5,28,11,0,53,0,0,13.3,27.8,2015,10,4 +443,2.959,3.336,223142,40,434,868,64.849,26.4,34.1,19,0,23,0,0,33.5,48.2,2015,10,5 +444,3.181,3.61,275130,43,442,884,64.367,19.2,35,9,0,35,0,10,30.6,64.8,2015,10,6 +445,2.979,3.479,303446,45,454,908,63.403,11.5,16,8,0,60,0,10,20.7,33.5,2015,10,7 +446,2.998,3.712,285342,46,560,996,64.477,15.4,25,9,0,62,0,0,12.8,33.5,2015,10,8 +447,3.369,3.546,280161,39,439.5,879,63.091,15.3,26,10,0,79,0,7.4,18,31.7,2015,10,11 +448,2.974,3.365,239798,39,418,836,62.303,11.3,15,5,0,71,0,10,17.6,29.4,2015,10,12 +449,2.953,3.418,277537,35,342,684,61.24,13.4,21,7,0,71,0,10,12.6,29.4,2015,10,13 +450,2.964,3.272,302267,44,430,582,68,22,28,17,0,46,0,10,23.3,38.9,2015,10,14 +451,2.979,3.551,293161,42,254,508,58.616,24.4,34,16,0,25,0,0,19.3,44.6,2015,10,15 +452,2.963,3.463,271285,37,415,830,62.322,12.4,19,6,0,66,0,0,13.1,22.2,2015,10,18 +453,4.107,4.156,239881,35,427.5,855,63.729,19.4,28,10,0,36,0,0,17.4,31.7,2015,10,19 +454,2.99,3.394,264259,48,420,865,64.849,23.2,32,15,0,47,0,9.5,18.3,35.2,2015,10,20 +455,2.927,3.297,262920,34,470,940,64.953,12.4,18,10,0,79,0,9.8,22.8,33.5,2015,10,21 +456,2.834,3.001,290372,40,450,900,63.886,12.1,16,10,0,73,0,9.7,21.9,33.5,2015,10,22 +457,2.855,2.95,271698,36,400,800,63.227,22,32,13,0,35,0,9.7,29.8,53.5,2015,10,25 +458,2.129,2.891,265113,48,380,1115,70,11.9,16,9,0,70,0,10,26.9,40.7,2015,10,26 +459,2.488,2.748,237002,48,470,940,64.953,15.7,23,8,0,47,0,10,18.9,44.6,2015,10,27 +460,2.544,3.127,261331,48,645,1290,68.183,17.8,26,10,0,49,0,6.3,16.1,33.5,2015,10,28 +461,3.355,3.706,268448,48,485,970,64.953,19.2,26,10.7,0,43,0,0,13.7,31.7,2015,10,29 +462,3.412,3.319,248447,50,380,760,62.374,17.1,26,13,0,76,0,9.5,15.9,38.9,2015,11,1 +463,2.898,3.221,267357,50,380,845,63.136,14.1,18,9,0,68,0,10,12.6,20.6,2015,11,3 +464,2.889,3.279,278282,53,495,990,64.477,20.5,27,16.8,0,72,0,7.7,15.6,29.4,2015,11,4 +465,2.897,3.364,244110,33,360,720,62.023,18.7,24,15,0,82,0,10,14.6,63,2015,11,5 +466,3.36,3.641,303666,37,325,650,61.591,19.3,26,13,0,34,0,0,16.3,35.2,2015,11,8 +467,3.065,3.574,300547,49,430.5,861,64.321,22.8,34,14,0,41,0,9.2,18.1,33.5,2015,11,9 +468,3.152,3.459,277916,50,552.5,1105,68.183,12.3,15,10.8,0,79,0,9.8,18,29.4,2015,11,10 +469,3.076,3.451,291609,50,580,1110,92,14.8,18,12,0,50,0,9.7,9.4,14.8,2015,11,11 +470,2.887,3.337,301484,50,530,1060,64.477,16.5,23,12,0,75,0,10,16.7,27.8,2015,11,12 +471,3.22,3.508,238098,43,437.5,875,63.136,14.9,22,10.8,0,71,0,10,16.5,25.9,2015,11,15 +472,3.276,3.663,253699,42,405,810,61.942,21.3,27,14,0,45,0,0,20.2,44.6,2015,11,16 +473,2.992,3.551,258243,47,487.5,975,65.717,19.4,33,10,0,42,0,9.8,17.6,44.6,2015,11,17 +474,2.993,3.442,277745,47,530,1060,64.477,25.1,29,20,0,34,0,10,15.9,35.2,2015,11,18 +475,3.123,3.859,262671,50,380,945,64.367,20.1,33,14,0,64,0,9.8,16.7,44.6,2015,11,19 +476,3.189,3.419,272561,50,420,840,63.201,15.3,21,12,0,61,0,10,15,27.8,2015,11,22 +477,3.173,3.384,305234,50,450,900,63.201,15.4,21,9.8,0,63,0,10,15.4,29.4,2015,11,23 +478,3.902,4.112,265673,41,585,1170,68.183,18.3,27,11,0,50,0,10,16.3,42.4,2015,11,24 +479,3.403,3.796,267475,42,450,1030,72,23.4,34,8,0,26,0,10,40.2,68.3,2015,11,25 +480,3.203,3.431,275814,46,545,1090,68.183,11.3,17,5,0,47,0,10,25.9,48.2,2015,11,26 +481,3.444,3.638,271563,44,417.5,835,63.358,14.5,25,8.5,0,64,0,10,16.7,35.2,2015,11,29 +482,1.927,3.398,280864,50,370,1100,67.264,21.4,32,13,0,44,0,10,23.9,51.9,2015,11,30 +483,3.462,3.402,276888,50,370,920,63.312,14.1,23,7,0,45,0,10,23.5,46.5,2015,12,1 +484,3.013,3.282,269369,50,370,870,63.84,12.9,18,8,0,54,0,10,18.3,33.5,2015,12,2 +485,3.021,3.204,279465,50,490,840,64.477,15.6,27,9,0,65,0,10,12.4,27.8,2015,12,3 +486,3.43,3.647,167532,40,360,760,62.019,21.8,29.3,17,0,64,0,10,14.1,24.1,2015,12,6 +487,3.027,3.265,231881,50,340,920,78,23.4,27,20,0,64,0,10,17.6,42.4,2015,12,7 +488,2.997,3.392,257198,50,380,900,64.367,21.9,36,13,0,53,0,10,25,48.2,2015,12,8 +489,3.587,4.109,279211,48,570,940,64.477,17.7,27,10.6,0,59,0,10,16.1,33.5,2015,12,9 +490,3.213,2.942,223469,44,520,860,64.953,18.2,26,11,0,49,0,10,18,29.4,2015,12,10 +491,3.56,4.035,248592,47,280,760,61.827,19.4,29,10.6,0,34,0,0,15.4,29.4,2015,12,13 +492,3.305,3.819,261120,46,420,990,63.201,20.8,27,16,0,60,0,7.6,15.7,25.9,2015,12,15 +493,3.672,3.851,253265,45,660,900,64.477,22.5,29,15,0,57,0,0,22.4,46.5,2015,12,16 +494,3.021,3.387,274939,44,320,940,64.367,28.6,36.2,19.8,0,26,0,0,20.9,44.6,2015,12,17 +495,3.106,3.598,207493,50,360,790,62.569,20.9,0,13,0,55,0,10,20.4,50,2015,12,20 +496,3.663,3.768,190031,35,380,760,66,15.6,20,11,0,56,0,10,22.4,35.2,2015,12,21 +497,3.622,3.77,208327,49,340,900,63.729,19,25,14,0,61,0,10,14.4,24.1,2015,12,22 +498,3.8,3.85,230542,48,450,1000,63.886,22.1,29,14.7,0,59,0,10,17.4,33.5,2015,12,23 +499,3.053,3.404,185676,48,422.98,845.96,64.894,26.2,35,12,0,29,0,6.6,35.4,53.5,2015,12,25 +500,3.485,3.627,189064,44,280,660,61.834,16.7,22,11,0,62,0,10,14.8,25.9,2015,12,28 +501,3.048,3.463,175314,37,320,690,61.668,18.8,27,12,0,60,0,0,14.4,27.8,2015,12,29 +502,3.103,3.297,174974,35,360,860,64.738,29.4,35,23,0,19,0,0,19.1,31.7,2015,12,30 +503,3.095,3.273,204968,50,422.98,845.96,64.366,20.5,28,16,0,61,0,10,19.1,27.8,2016,1,1 +504,3.086,3.272,175665,54,280,730,61.844,20.1,27,14,0,62,0,10,14.8,31.7,2016,1,3 +505,3.071,3.266,187587,51,320,800,61.962,19.1,24,14,0,66,0,10,11.3,22.2,2016,1,4 +506,3.069,3.217,179315,49,340,840,57,20.4,25,16,0,66,0,10,11.7,29.4,2016,1,5 +507,3.085,3.547,183456,43,630,970,65.59,19.8,25,15,0,70,0,10,22.6,40.7,2016,1,6 +508,2.537,3.377,203716,50,570,910,65.59,17.9,23,13.9,0,61,0,10,25,35.2,2016,1,7 +509,3.653,3.562,211567,44,280,700,63.364,24.6,34,17,0,36,0,0,14.4,25.9,2016,1,10 +510,3.785,3.709,229446,49,320,970,65.531,23.1,37,15,0,51,0,10,16.1,57.6,2016,1,11 +511,2.745,3.434,231955,46,360,880,65.531,21.7,36,15,0,60,0,10,13.7,35.2,2016,1,12 +512,3.458,3.215,269373,43,360,870,65.004,28.9,43,16.9,0,32,0,10,28,48.2,2016,1,13 +513,3.354,3.585,252342,43,550,1000,65.114,14.3,18,12,0,61,0,10,23,38.9,2016,1,14 +514,3.46,3.933,242024,46,320,760,63.521,26.7,32,21,0,23,0,0,24.3,42.4,2016,1,17 +515,3.274,3.641,216526,36,370,900,65.531,23.9,36.3,13,0,31,0,10,16.1,38.9,2016,1,18 +516,3.238,3.563,246403,38,410,1000,64.847,23.9,33,17.8,0,48,0,10,13.7,25.9,2016,1,19 +517,3.085,3.335,203753,36,380,750,61.668,22,30,18,0,74,0,8.2,16.1,29.4,2016,1,20 +518,3.014,3.295,242712,36,420,1000,70,19.5,27,16.9,0,79,0,8.7,10.6,40.7,2016,1,21 +519,3.033,3.216,163031,52,510,830,65.59,18.3,23,15,0,76,0,9.7,18.5,31.7,2016,1,24 +520,2.954,3.237,186628,49,310,850,64.366,22.8,29,17.9,0,57,0,10,12.2,31.7,2016,1,26 +521,4.115,4.9,247019,45,650,950,65.114,23.7,28.1,21,0,60,0,10,31.5,46.5,2016,1,27 +522,4.408,4.099,284997,51,460,780,61.619,19.3,29,13,0,78,0,9.5,18.7,33.5,2016,1,28 +523,3.028,3.503,280083,49,320,590,58.488,14.9,20,10,0,72,0,10,20.4,40.7,2016,1,31 +524,3.024,3.38,260268,50,320,680,61.533,19.7,25,15,0,67,0,8.5,12.8,25.9,2016,2,1 +525,4.193,4.705,246364,50,350,930,66,23.5,32,17,0,54,0,9,18.3,27.8,2016,2,2 +526,4.173,4.149,254234,40,300,740,61.69,17.5,21,16,0,66,2.03,10,26.7,37,2016,2,3 +527,4.09,4.288,287372,41,370,760,61.748,17.7,21,14,0,71,0,10,20.9,33.5,2016,2,4 +528,4.112,4.236,248066,36,300,680,62.348,22.4,31,16,0,61,0,10,16.1,29.4,2016,2,7 +529,3.001,3.425,245010,45,430,840,63.838,19.5,24,17,0,63,0,10,18.3,27.8,2016,2,8 +530,3.199,3.745,233490,46,450,810,62.218,19.9,25,16,0,66,0,10,13.9,22.2,2016,2,9 +531,3.132,3.504,208796,36,560,820,62.622,20.1,24,17,0,62,0,10,16.5,22.2,2016,2,10 +532,2.735,3.412,205307,50,540,1100,68.82,19.7,25,15,0,64,0,10,17.6,29.4,2016,2,11 +533,0.187,4.761,239544,38,360,770,67,18.3,25,12,0,55,0,10,19.1,35.2,2016,2,14 +534,2.344,4.887,230809,33,340,660,62.218,19.4,27.7,13.9,1013.2,45,0,12.6,21.5,37,2016,2,15 +535,4.094,5.327,256059,30,370,700,62.218,15.1,18,13,0,55,0,10,27,38.9,2016,2,16 +536,3.703,4.961,272004,20,400,730,59.603,17.9,23,14.8,0,73,0,9.8,23.5,35.2,2016,2,17 +537,3.961,4.368,222314,32,350,810,61.866,18.3,23,15,0,68,0,10,11.3,18.3,2016,2,18 +538,3.885,3.919,222672,21,300,660,60.267,20.4,28,14,0,52,0,0,14.1,24.1,2016,2,21 +539,3.143,3.691,210987,50,230,730,63.393,25.1,33,19,0,37,0,0,15.4,51.9,2016,2,22 +540,3.384,3.844,215544,46,360,840,65.531,29.3,40,23,0,32,0,0,23.7,53.5,2016,2,23 +541,5.409,6.357,219079,32,580,750,62.622,22.1,28.2,18.9,0,72,0,10,14.8,31.7,2016,2,24 +542,5.371,5.975,207570,42,560,840,65.59,20.1,30,12,0,64,0,10,17.6,31.7,2016,2,25 +543,4.9,5.051,192139,50,330,1000,64.366,18.6,23,14,0,61,0,10,18.3,27.8,2016,2,28 +544,3.954,4.018,177134,50,360,710,62.048,18.5,26,13,0,73,0,9.5,15,35.2,2016,2,29 +545,4.17,4.504,201268,49,490,890,66.354,25.1,34,17.9,0,31,0,0,20.7,35.2,2016,3,1 +546,4.152,4.438,229270,49,480,920,74,23.6,36,16.5,0,47,0,10,17.8,35.2,2016,3,2 +547,3.538,4.094,272464,44,410,520,58.766,19.6,26,15,0,64,0,10,12.4,20.6,2016,3,3 +548,4.237,4.759,248067,55,340,360,58.806,21.1,28,15.1,0,72,0,10,13.5,27.8,2016,3,6 +549,3.921,4.42,247498,49,490,780,62.973,20.6,25,18.8,0,79,0,9.5,15.6,24.1,2016,3,7 +550,3.872,4.018,250976,51,480,710,63.931,32.3,40,27,0,23,0,0,27.2,40.7,2016,3,8 +551,3.453,3.977,260257,50,450,830,64.366,21.7,30,17.9,0,74,2.03,9.7,16.7,27.8,2016,3,9 +552,3.368,3.724,249098,51,510,840,65.59,19.2,22,18.5,0,92,0,6.3,7.4,16.5,2016,3,10 +553,3.041,3.539,239513,52,422.98,845.96,64.256,22.3,28,18,0,78,0,9.7,10.7,22.2,2016,3,11 +554,3.187,3.518,212006,45,420,780,62.019,16.6,20,13,0,71,0,10,16.9,29.4,2016,3,14 +555,3.436,3.694,207359,39,460,810,62.176,19.3,28,14,0,67,0,10,14.4,33.5,2016,3,15 +556,2.982,3.723,227429,47,620,960,71,25.1,31,19,0,45,0,0,22.6,53.5,2016,3,16 +557,3.218,3.722,275512,40,360,870,65.486,25.3,33,14,0,46,0,9,30.2,46.5,2016,3,17 +558,3.31,3.843,253338,39,340,730,62.16,15.2,22,9,0,62,0,10,13.1,25.9,2016,3,20 +559,3.6,4.125,210261,45,410,700,62.019,15.9,22,10,0,72,0,10,16.3,31.7,2016,3,21 +560,4.929,5.401,210442,43,320,720,62.029,18.6,26,13,0,51,0,0,13.9,25.9,2016,3,22 +561,4.566,4.709,230551,51,440,850,64.32,20.9,29,12.6,0,52,0,12.1,13.3,25.9,2016,3,23 +562,3.593,3.856,219806,40,422.98,845.96,64.32,16.2,20.4,11,0,64,0,10,14.1,27.8,2016,3,25 +563,3.707,4.057,193262,41,350,680,62.029,15.9,19,13.8,0,50,0,10,23.7,29.4,2016,3,28 +564,4.449,4.988,197264,46,520,770,65,15.4,17.4,14,0,58,0,10,20.4,31.7,2016,3,29 +565,4.454,4.727,212886,43,370,790,61.891,13.3,18,7,0,62,0,10,14.6,27.8,2016,3,30 +566,4.213,4.581,226469,42,360,880,64.32,17.9,23,13,0,59,0,10,16.5,29.4,2016,3,31 +567,4.208,4.441,185609,40,300,680,61.962,13.2,19,8,0,61,0,0,15.4,27.8,2016,4,3 +568,4.172,4.637,125886,42,530,760,62.736,16.7,23.3,11,0,53,0,0,13.5,33.5,2016,4,4 +569,4.135,4.653,149992,35,540,880,65.59,20.6,29,12,0,44,0,7.9,19.6,38.9,2016,4,5 +570,4.298,4.701,260866,27,340,690,60.073,11.2,15,7,0,84,0,51.5,14.1,31.7,2016,4,6 +571,4.199,4.49,282652,37,370,730,61.866,14.1,18,10,0,69,0,0,10,18.3,2016,4,7 +572,4.014,4.569,250282,41,380,750,62.412,17.6,23,14,0,58,0,0,20.2,29.4,2016,4,10 +573,4.123,4.397,181203,52,440,910,74,15.7,20,13,0,73,0,0,17.8,27.8,2016,4,11 +574,3.944,4.4,183726,43,550,940,65.59,14.7,18.5,12,0,78,0,0,14.1,27.8,2016,4,12 +575,3.793,4.357,289441,39,440,840,63.728,14.4,19,10,0,73,0,51.8,12.4,24.1,2016,4,13 +576,4.141,4.381,254752,38,450,750,62.061,18.3,27,12,0,51,0,7.7,17.2,29.4,2016,4,14 +577,3.837,4.045,243966,40,330,700,62.317,13,21,8,0,70,0,0,16.5,33.5,2016,4,17 +578,4.581,5.696,223776,35,330,690,62.218,19.1,25,13,0,49,0,0,20.9,38.9,2016,4,18 +579,5.685,5.632,271098,44,530,1000,65.114,20.4,27,16,0,44,0,0,23.7,40.7,2016,4,19 +580,4.652,5.15,278619,47,720,930,65.114,23.1,28,20,0,33,0,0,27.2,40.7,2016,4,20 +581,5.327,5.744,283027,41,580,850,65.59,16.9,24,13,0,71,0,8.4,17.8,33.5,2016,4,21 +582,4.844,4.761,257788,33,422.98,845.96,64.32,13.3,16,11,0,61,0,0,17.4,27.8,2016,4,22 +583,4.181,4.388,268530,39,400,630,60.232,17.1,25,9,0,54,0,0,19.8,33.5,2016,4,25 +584,4.281,4.505,261710,30,380,780,62.218,19.4,25,14,0,37,0,0,26.1,44.6,2016,4,26 +585,4.224,4.625,200091,45,810,900,70,21,24,18,0,42,0,0,31.7,44.6,2016,4,27 +586,4.426,4.566,239173,46,620,650,62.841,19.6,24,16,0,57,0.76,0,18.1,38.9,2016,4,28 +587,5.439,5.881,230841,36,500,850,65.59,11.3,16,8,0,61,0,10,26.3,44.6,2016,5,1 +588,5.668,7.364,188941,37,350,960,64.522,14.3,17,12.5,0,52,0,10,34.3,48.2,2016,5,2 +589,4.93,7.966,260517,40,370,1300,67.701,12.9,19,7,0,64,0,9.7,26.9,51.9,2016,5,3 +590,3.892,4.936,292013,34,590,900,65.114,13.9,17,11,0,57,0,10,22.4,35.2,2016,5,4 +591,4.142,4.722,277500,37,780,1000,65.114,16.6,20.2,14,0,57,0,10,35.2,50,2016,5,5 +592,4.819,5.984,213211,50,470,790,62.973,17.8,20,15,0,88,0,9.8,25.4,57.6,2016,5,8 +593,5.412,6.088,241074,40,570,820,62.973,15.4,21,12.8,0,76,0,9.5,34.1,53.5,2016,5,9 +594,5.043,5.117,277110,35,360,930,63.949,13.3,16.2,11,0,62,0,10,30.9,42.4,2016,5,10 +595,4.336,4.598,254395,38,360,710,63,15.2,18,13,0,67,0,10,24.3,37,2016,5,11 +596,4.347,5.164,272476,39,360,890,63.949,17,21,13.5,0,66,0,10,21.9,35.2,2016,5,12 +597,4.462,4.365,253118,50,310,660,62.317,13.2,21,7,0,67,0,10,20.9,38.9,2016,5,15 +598,4.242,4.53,255636,49,670,900,65.59,15.4,18.7,12,0,67,0,10,30.7,59.4,2016,5,16 +599,4.498,5.055,266683,40,620,900,65.114,14,17,11.2,0,58,0,10,16.1,29.4,2016,5,17 +600,3.708,4.041,283088,53,720,1100,68.82,15.2,19,13,0,56,0,10,22.6,29.4,2016,5,18 +601,4.858,5.546,248615,50,600,1000,65.59,14.6,17,9.8,0,73,0,10,20.6,38.9,2016,5,19 +602,4.363,4.332,206024,52,530,910,65.59,16.9,21,11,0,58,0.51,10,34.4,53.5,2016,5,22 +603,3.858,4.555,287972,50,520,970,73,11.9,16,8.7,0,68,0,10,21.7,42.4,2016,5,23 +604,3.915,4.801,313503,50,610,970,65.114,10.9,16,7,0,72,0,10,20.4,42.4,2016,5,24 +605,4.509,5.079,289080,44,380,880,63.93,11.2,15,9,0,81,0,9.2,33.5,57.6,2016,5,25 +606,4.316,4.992,329619,32,340,690,60.406,9.1,11,6,0,88,0,9.2,17.4,25.9,2016,5,26 +607,4.332,4.869,281219,48,250,660,60.572,8,12.2,4,0,69,0,10,15,25.9,2016,5,29 +608,3.74,4.804,280345,41,340,800,60.572,7.4,14,1,0,70,0,10,12.2,22.2,2016,5,30 +609,4.16,6.063,297279,45,480,960,64.28,8.8,16,4,0,68,0,10,12.4,20.6,2016,5,31 +610,4.126,4.554,300879,49,430,790,60.757,8.9,16,3,0,75,0,10,10.7,18.3,2016,6,1 +611,4.704,4.832,315064,44,420,840,62.414,9.1,13,6,0,90,0,5.5,7.2,14.8,2016,6,2 +612,4.446,7.225,253529,29,330,700,61.339,11.6,14,7.5,0,90,0,8.4,9.1,22.2,2016,6,5 +613,5.637,5.845,223104,50,360,850,63.664,10.6,13,8,0,82,0,10,18.7,31.7,2016,6,6 +614,4.761,5.065,263832,51,480,820,62.973,11.5,14,8,0,85,0,9.7,18.5,31.7,2016,6,7 +615,1.916,4.842,175754,41,370,740,62,12,14,10,0,31,0,10,31.5,51.9,2016,6,8 +616,4.143,4.815,264055,45,520,840,64.953,11.8,17,8,0,74,0,9.8,19.4,31.7,2016,6,9 +617,5.929,5.092,246666,49,422.98,845.96,62.942,10.7,15,6,0,71,0,9.7,20.9,31.7,2016,6,10 +618,4.327,5.237,177736,45,350,740,62.119,9.8,12.1,8,0,65,0,10,30,46.5,2016,6,13 +619,3.99,4.962,265425,39,390,740,61.591,9.8,14,7,0,72,0,10,22.8,27.8,2016,6,14 +620,4.239,4.832,167116,50,590,800,62.775,10.7,17,7,0,73,0,10,21.1,46.5,2016,6,15 +621,4.017,4.632,274879,53,520,910,64.477,11.9,14,9.7,0,80,0,10,31.9,48.2,2016,6,16 +622,4.9,5.185,267020,45,660,750,62.397,11.3,12.3,9.9,0,89,0,82,16.3,31.7,2016,6,19 +623,4.77,4.776,202008,39,320,1000,63.664,10.8,12.4,8,0,87,0,8.7,17.6,27.8,2016,6,20 +624,3.662,3.885,255306,31,280,710,62.023,10.8,14,9,0,76,0,10,26.5,42.4,2016,6,21 +625,3.482,4.249,244727,40,330,740,55,11.7,14,9,0,67,0,10,24.4,38.9,2016,6,22 +626,3.417,4.348,219358,17,270,600,53.347,8.8,13,5,0,76,0,9.5,27.6,53.5,2016,6,23 +627,3.44,4.006,265674,41,310,680,61.198,7.1,10,5,0,74,0,10,22.4,27.8,2016,6,26 +628,3.729,3.873,259854,40,300,820,61.198,8,10,5,0,84,0,9.5,18.5,27.8,2016,6,27 +629,3.016,4.152,303367,39,350,780,61.405,10.8,16,7,0,79,0,10,22.2,27.8,2016,6,28 +630,3.842,4.141,303958,28,360,920,63.248,10.8,15,8.5,0,68,0,10,30,48.2,2016,6,29 +631,3.486,3.897,306053,34,370,880,63.248,8.3,10,7,0,82,0,9.5,28.7,55.4,2016,6,30 +632,3.964,3.652,300053,38,300,690,61.24,11.8,16,10,0,68,0,10,24.8,31.7,2016,7,3 +633,2.98,3.768,303266,46,370,845.96,63.091,9.3,12,7,0,81,0,9.8,15.4,24.1,2016,7,4 +634,3.095,4.219,225778,22,370,810,60.229,10.5,12,8,0,93,0,8.4,21.5,33.5,2016,7,5 +635,3.539,4.551,290915,20,310,570,53.394,10.6,12,9.8,0,92,0,6.6,20.6,33.5,2016,7,6 +636,2.717,3.944,318969,39,410,670,61.591,10.1,12,8,0,94,0,82,9.4,22.2,2016,7,7 +637,3.435,4.036,284401,40,340,750,60,11.2,13,11,0,50,0,10,37.2,63,2016,7,10 +638,2.982,3.687,295527,32,330,790,61.396,12.2,14,10,0,67,0,10,35.4,51.9,2016,7,11 +639,3.338,4.07,259123,49,330,710,61.483,6.7,12,3,0,65,0,10,34.8,48.2,2016,7,12 +640,3.334,4.127,248927,45,400,790,61.541,7.8,11,4.9,0,68,0,10,24.6,40.7,2016,7,13 +641,3.348,4.06,306436,40,480,760,62.397,9.7,12.2,7,0,69,0,10,18.7,31.7,2016,7,14 +642,3.221,3.676,233359,43,360,770,62.374,12.4,15,10.6,0,69,0,10,37.4,55.4,2016,7,17 +643,3.079,3.576,270172,44,320,740,61.69,13.8,18,11,0,77,0,10,21.7,38.9,2016,7,18 +644,2.352,5.543,258090,33,640,820,62.622,11.4,15,8,0,85,0,10,6.9,13,2016,7,19 +645,4.751,4.226,189084,34,420,800,60.835,9.9,15,6,0,83,0,9.7,9.8,27.8,2016,7,20 +646,3.804,3.847,239883,32,480,840,64.953,14.7,17.1,12.7,0,82,0,9.5,34.6,57.6,2016,7,21 +647,5.275,4.916,256952,38,320,600,58.331,7.9,11,5.9,0,74,0,10,26.9,40.7,2016,7,24 +648,4.302,4.503,277208,23,500,680,59.994,8.7,13,5,0,65,0,9.7,27.2,57.6,2016,7,25 +649,3.202,3.919,284140,38,310,690,49,8.4,10,7,0,72,0,9.8,26.9,38.9,2016,7,26 +650,3.019,4.544,293102,41,350,660,60.828,8.4,11,6,0,74,0,10,19.3,33.5,2016,7,27 +651,4.755,4.431,275785,34,560,970,64.953,10.8,14,8,0,73,0,10,22.4,31.7,2016,7,28 +652,3.854,4.551,227967,38,330,660,62.023,12.6,16,10.7,0,72,0,9.8,23.3,35.2,2016,7,31 +653,3.377,10.731,334240,20,350,660,58.769,9.2,13,4.8,0,90,0,9.8,18.3,35.2,2016,8,1 +654,6.385,8.471,288778,29,260,470,54.389,9.4,12,8,0,84,0,8.4,18.3,33.5,2016,8,2 +655,6.952,5.107,312292,36,290,620,59.415,7.9,12,3.9,0,87,0.51,92,14.3,31.7,2016,8,3 +656,5.872,5.408,321241,26,320,650,58.612,7.2,13.2,2.8,0,79,0,10,14.3,24.1,2016,8,4 +657,4.489,4.904,323158,31,330,770,60.601,9.2,15,4,0,56,0,10,14.3,31.7,2016,8,7 +658,4.64,4.789,296718,36,330,740,61.496,10.8,13,9,0,64,0,0,46.9,66.5,2016,8,8 +659,4.154,4.438,269276,49,370,870,63.84,12.4,17,8,0,65,0,10,33.3,59.4,2016,8,9 +660,4.627,5.34,294068,32,390,950,62.524,9.4,14,4,0,66,0,10,27.6,48.2,2016,8,10 +661,5.421,5.978,261432,46,260,650,57,9.8,14,5,0,66,0,10,20.2,33.5,2016,8,11 +662,5.365,5.732,271096,43,410,800,62.218,11.9,16,7.9,0,68,0,10,17.2,27.8,2016,8,14 +663,3.536,4.552,262585,38,320,760,62.023,12.2,17,9,0,70,0,10,25.6,40.7,2016,8,15 +664,2.85,3.889,277449,38,480,760,62.622,13.8,18,11,0,67,0,9.8,25.6,38.9,2016,8,16 +665,4.166,4.01,279644,49,400,890,62.942,10.7,15,6,0,81,0,10,16.7,40.7,2016,8,17 +666,4.515,4.008,297691,54,440,880,63.312,16.6,20,14.7,0,58,0,10,39.1,64.8,2016,8,18 +667,4.36,4.521,306766,34,380,660,61.24,10.7,14,8.9,0,78,0,9.8,18.5,27.8,2016,8,21 +668,5.902,13.713,310318,28,340,600,53.295,9.6,15,6,0,86,0,9.8,10.7,27.8,2016,8,22 +669,7.211,14.488,292775,27,350,870,54,7.2,13,2,0,74,0,10,9.8,22.2,2016,8,23 +670,7.322,6.587,235076,32,330,690,61.033,8.1,12,5,0,80,0,10,14.6,22.2,2016,8,24 +671,7.276,5.664,331344,34,440,770,60.563,8.2,13,5,0,76,0,10,17.6,33.5,2016,8,25 +672,7.307,4.992,295867,35,440,760,61.396,11.8,18.3,7,0,66,0,0,24.6,33.5,2016,8,28 +673,6.762,5.535,333187,33,320,800,61.591,13.4,18,9,0,58,0,10,22.2,35.2,2016,8,29 +674,5.175,5.716,342432,34,450,860,63.358,13.3,17,12,0,77,0,10,28,48.2,2016,8,30 +675,4.547,5.638,336331,34,400,860,63.091,14.1,19,9.9,0,70,0,9.8,14.4,31.7,2016,8,31 +676,4.337,5.25,351076,40,510,800,62.397,11.3,15,9,0,90,0,8.5,7.2,20.6,2016,9,1 +677,4.447,5.204,311190,40,450,770,61.591,13.2,16,10,0,67,0,10,16.9,25.9,2016,9,4 +678,4.873,5.404,258255,47,350,780,62.16,13.3,17.3,9,0,70,0,10,13.7,25.9,2016,9,5 +679,4.967,5.208,238691,43,350,800,56,13.2,20,7,0,76,0,10,12,20.6,2016,9,6 +680,4.765,5.846,303346,26,330,840,63.312,15.7,20,13,0,65,0,10,31.7,53.5,2016,9,7 +681,4.805,4.625,314318,30,490,820,62.046,18.1,22,14,0,62,0,9.7,36.1,46.5,2016,9,8 +682,5.799,7.657,311978,23,360,650,59.446,11.6,16,9,0,75,0,8.4,14.6,25.9,2016,9,11 +683,5.798,5.551,342733,40,350,690,61.533,10.3,13,9,0,89,0,7.7,9.3,20.6,2016,9,12 +684,5.285,4.537,267952,23,300,650,60.073,11.6,13,10,0,92,0,8.9,13.1,25.9,2016,9,13 +685,3.318,4.565,253441,18,270,550,53.152,10.2,15,7,0,78,0,9.8,25,40.7,2016,9,14 +686,5.327,5.328,273615,18,270,450,53.152,10.6,14,8,0,81,0,9.5,18.1,44.6,2016,9,15 +687,4.525,5.04,343753,43,330,650,60.7,8.7,11,5,0,85,0,9.8,14.6,24.1,2016,9,18 +688,3.84,4.044,365841,33,450,1000,63.358,10.8,15,7,0,65,0,10,16.1,37,2016,9,19 +689,3.476,4.338,339308,29,370,760,61.396,13.3,18,10,0,64,0,10,21.5,38.9,2016,9,20 +690,3.837,4.346,349075,38,360,720,61.24,9.7,11,9,0,87,0,10,23.2,27.8,2016,9,21 +691,3.948,5.407,358562,32,380,740,55,9.5,12,7,0,80,0,10,14.6,27.8,2016,9,22 +692,4.305,4.518,288059,29,370,670,61.24,10.2,14,7,0,72,0,10,14.8,27.8,2016,9,25 +693,4.303,4.744,327217,28,350,720,58.612,10.2,16,5,0,71,0,9.7,13.7,31.7,2016,9,26 +694,5.27,6.917,210444,23,300,590,53.347,10.4,15,7,0,75,0,9.2,19.6,31.7,2016,9,27 +695,5.329,5.593,347807,27,360,740,59.603,14.2,17,11,0,66,0,10,33.2,51.9,2016,9,28 +696,5.824,9.607,398328,31,422.98,845.96,63.091,11.8,15,9,0,79,0,10,14.6,31.7,2016,9,30 +697,5.934,8.68,394396,30,300,610,54.774,15.4,22,9,0,64,0,9.3,36.1,61.1,2016,10,2 +698,5.759,5.525,363677,20,260,490,53.053,12,15,10,0,64,0,10,27,42.4,2016,10,3 +699,5.599,4.694,380550,25,340,570,41,9.9,16,6,0,70,0,9.8,30.4,64.8,2016,10,4 +700,2.526,7.046,195490,30,360,650,62.023,12.7,19,9,0,71,0,10,23,37,2016,10,5 +701,6.384,9.256,247582,27,460,730,60.378,20.1,25,17,0,50,0,10,36.9,48.2,2016,10,6 +702,7.432,5.804,389808,34,340,590,55.847,15.2,20,11,0,65,0,10,36.7,83.5,2016,10,9 +703,7.113,5.019,395208,26,310,660,58.769,9.1,16,5,0,69,0,9.8,26.1,53.5,2016,10,10 +704,5.651,4.973,322883,18,320,560,53.295,10.8,14,5,0,70,0,10,19.3,40.7,2016,10,11 +705,4.985,5.239,350181,34,410,750,60.563,9.1,15,4,0,75,0,9.7,18.1,38.9,2016,10,12 +706,4.577,5.492,343520,34,340,760,60.406,9,14.1,2,0,67,0,10,13.3,24.1,2016,10,13 +707,6.556,10.38,339821,29,290,620,48,12.9,21,7,0,74,0,9.5,19.4,37,2016,10,16 +708,7.465,6.998,329858,24,320,590,52.819,13.4,18,9.9,0,58,0,9.7,22.2,29.4,2016,10,17 +709,6.769,4.929,347406,30,360,690,60.563,8.3,16,3,0,72,0,10,19.8,40.7,2016,10,18 +710,6.71,6.338,273169,29,360,730,62.218,11.1,15,7,0,53,0,0,19.3,53,2016,10,19 +711,5.277,5.326,321799,30,370,770,61.69,16.9,21,14,0,43,0,0,47.6,74.1,2016,10,20 +712,3.936,4.253,324576,20,240,660,58.769,9.9,13,5,0,70,0,9.8,17.8,33.5,2016,10,23 +713,4.472,4.601,334776,29,350,670,61.396,13,15,9,0,66,0,10,18,50,2016,10,24 +714,4.052,5.071,343844,26,340,780,59.797,18.9,23,14,0,44,0,0,29.1,50,2016,10,25 +715,4.53,4.725,350836,37,360,1100,66.797,11.3,19,5,0,84,0,9,13,31.7,2016,10,26 +716,3.781,4.783,374982,41,380,660,60.629,9.8,15,4,0,66,0,10,18,29.4,2016,10,27 +717,3.792,4.661,265250,44,370,670,61.608,13.3,25,6,0,50,0,10,33,64,2016,10,30 +718,5.816,10.241,290343,33,340,720,61.19,11.9,19,6.5,0,66,0,9.8,17.6,37,2016,11,1 +719,7.366,8.025,312313,34,400,700,51,12.8,18,7,0,66,0,10,14.6,25.9,2016,11,2 +720,6.641,5.822,311909,34,530,690,62.145,13.9,21,8,0,67,0,10,13.3,31.7,2016,11,3 +721,5.979,5.554,317380,42,350,780,61.885,17.3,21,14,0,52,0,10,23.9,51.9,2016,11,6 +722,4.905,4.709,308886,26,300,630,57.086,15.4,25,9,0,61,0,10,21.5,55.4,2016,11,7 +723,3.239,4.335,275366,26,350,720,59.545,13.2,18.3,8,0,62,0,9.8,15,25.9,2016,11,8 +724,2.984,3.993,302033,30,340,770,61.24,13,18,9,0,71,0,10,15.6,24.1,2016,11,9 +725,2.994,4.504,297927,40,350,840,62.257,11.8,18,5,0,72,0,10,12.2,20.6,2016,11,10 +726,3.694,3.778,289343,34,422.98,845.96,63.312,16.8,24,11,0,56,0,9.8,27,38.9,2016,11,12 +727,4.587,4.694,306020,37,320,720,61.396,12.6,18,9.8,0,84,0,8.7,28,37,2016,11,13 +728,3.433,3.965,151270,27,260,530,53.106,12.3,17,8.8,0,71,0,10,23.5,37,2016,11,14 +729,3.123,3.676,232501,30,340,720,61.668,13.3,18.1,8.7,0,76,0,10,15.4,25.9,2016,11,15 +730,2.963,3.602,350012,33,340,660,52,15.9,23,11,0,70,0,10,16.5,35.2,2016,11,16 +731,2.981,3.165,349776,37,370,770,61.591,21.9,30,14,0,46,0,8.4,21.3,38.9,2016,11,17 +732,3.01,3.407,272259,31,300,460,54.389,26.3,33.1,21,0,42,0,0,26.1,53.5,2016,11,20 +733,3.015,3.541,295352,37,360,880,64.321,22.4,34.1,13,0,57,0,8.7,20.4,57.6,2016,11,21 +734,2.849,3.572,351523,40,330,910,63.091,12.3,14,10.6,0,90,0,8.4,12,27.8,2016,11,22 +735,2.984,3.851,346530,36,410,820,61.396,10.7,14.1,8,0,75,0,9.7,22.4,38.9,2016,11,23 +736,3.772,4.147,279054,40,470,1100,68.183,12.6,17,9,0,68,0,10,20.4,29.4,2016,11,24 +737,2.949,3.479,265138,44,330,730,61.504,14.2,17,12,0,79,0,9.3,13,20.6,2016,11,27 +738,3.061,3.509,264954,43,440,850,67,14.9,21,10,0,69,0,10,12.2,22.2,2016,11,28 +739,4.01,4.204,261667,39,330,860,63.136,15.4,21,10,0,71,0,9.5,15.6,25.9,2016,11,29 +740,2.958,3.743,306998,40,320,870,63.091,15,19.2,9,0,76,0,10,13.3,24.1,2016,11,30 +741,3.597,4.103,360903,39,340,930,63.155,16.7,24,10.9,0,67,0,10,13,24.1,2016,12,1 +742,5.204,4.975,288576,43,310,750,63.521,23.3,31,15.7,0,50,0,10,28.9,48.2,2016,12,4 +743,5.82,10.091,203027,40,540,1300,68.183,16.2,22,12,0,63,0,10,14.8,27.8,2016,12,5 +744,7.274,13.368,318615,39,490,1200,68.183,14.2,21,8,0,64,0,10,12.2,27.8,2016,12,6 +745,7.373,5.818,321522,44,520,1000,64.477,22.1,28,16,0,31,0,9,25.7,57.6,2016,12,7 +746,5.518,4.608,361701,35,320,680,61.396,14.4,23,8,0,62,0,10,33.2,53.5,2016,12,8 +747,5.368,5.64,324125,46,640,1300,68.183,14.7,27,8,0,66,0,10,14.8,24.1,2016,12,11 +748,5.451,5.124,288885,36,340,950,70,25.7,33,17,0,24,0,0,23,46.5,2016,12,12 +749,3.443,3.998,297419,38,360,900,64.321,24.6,35.2,15,0,34,0,10,25.9,44.6,2016,12,13 +750,3.387,4.042,344684,39,310,940,63.312,14.2,19,9,0,55,0,10,22,33.5,2016,12,14 +751,3.874,4.638,343474,40,340,940,63.155,13.9,23,8,0,62,0,10,19.3,31.7,2016,12,15 +752,4.243,4.371,317555,42,340,760,61.051,13.3,21,5.6,0,50,0,10,20,40.7,2016,12,18 +753,3.538,4.019,289704,40,370,840,63.312,22.9,30,14,0,27,0,8.7,26.1,40.7,2016,12,19 +754,3.785,4.348,334202,40,420,840,63.155,16.4,23,10,0,54,0,10,17.6,29.4,2016,12,20 +755,4.185,4.718,325270,42,550,900,64.477,15.9,20,14,0,61,0,10,21.1,29.4,2016,12,21 +756,4.072,4.405,328625,41,320,950,63.091,16.6,27,12,0,69,0,10,16.5,29.4,2016,12,22 +757,4.073,4.073,296143,42,422.98,845.96,64.164,22.6,32,15,0,53,0,10,13.7,27.8,2016,12,23 +758,4.052,4.51,193270,58,422.98,845.96,63.664,19.4,27.2,17,0,79,0,9.7,12,24.1,2016,12,26 +759,3.256,3.949,198034,50,310,820,61.991,24.1,28,21,0,72,0,9.7,17,48.2,2016,12,27 +760,3.339,3.775,221962,41,540,910,62,30.2,38,26,0,44,0,0,30.9,68.3,2016,12,28 +761,3.727,4.063,249398,26,320,740,61.238,23.8,34,19,0,82,0,8,18,44.6,2016,12,29 +762,3.167,3.966,243256,30,422.98,845.96,63.683,21.2,30,16,0,63,0,10,16.5,27.8,2016,12,30 +763,3.775,4.088,248758,49,260,640,61.76,15.6,18,14,0,72,0,0,20.9,33.5,2017,1,2 +764,3.35,4.002,273805,50,320,790,62.16,17.4,26,15,0,70,0,0,15.4,27.8,2017,1,3 +765,6.518,13.246,315502,38,340,700,61.24,23.7,30,18,0,60,0,0,17.4,27.8,2017,1,4 +766,7.904,18.968,289960,42,330,820,63.169,23.1,33,16,0,60,0,0,15.7,31.7,2017,1,5 +767,7.92,13.169,234544,42,320,740,63.169,21.5,34,17,0,64,0,0,19.4,31.7,2017,1,8 +768,7.913,9.306,273650,39,330,770,62.16,19.5,24,17,0,71,0,0,11.7,18.3,2017,1,9 +769,7.895,6.691,289576,41,380,960,64.32,20.7,29,15,0,63,0,0,16.1,31.7,2017,1,10 +770,7.718,5.659,226540,39,340,830,54,17.9,26,11,0,63,0,0,16.7,37,2017,1,11 +771,7.582,6.369,221330,39,380,920,64.522,22.7,29,18,0,48,0,0,15.2,35.2,2017,1,12 +772,7.387,6.011,208333,49,400,780,62.019,16.7,22,12.7,0,64,0,0,10.7,25.9,2017,1,15 +773,7.477,6.474,210266,37,360,1000,65.374,26,34,19,0,34,0,0,14.3,29.4,2017,1,16 +774,4.182,5.151,257722,46,360,910,65.486,25.1,37.2,14,0,37,0,8.9,19.8,35.2,2017,1,17 +775,2.987,4.138,308029,50,420,1200,67.656,15.7,21,10,0,57,0,51.8,21.7,35.2,2017,1,18 +776,3.119,4.229,330675,37,520,1300,68.82,19.1,25,15,0,61,0,7.7,15.4,38.9,2017,1,19 +777,5.577,6.706,267534,51,270,720,63.393,23.6,31,19,0,58,0,0,13.3,37,2017,1,22 +778,6.693,5.424,258182,46,350,1000,62,26.1,36.4,18,0,45,0,0,21.5,37,2017,1,23 +779,5.975,5.579,307794,36,370,1100,67.656,17,23,10,0,56,0,0,20.9,35.2,2017,1,24 +780,7.04,6.513,290872,55,350,790,61.539,17.9,21.2,16,0,67,0,0,16.7,25.9,2017,1,26 +781,6.926,6.404,254138,55,480,1300,68.82,22.8,28,16,0,55,0,0,17.2,33.5,2017,1,29 +782,5.138,5.337,204002,47,350,820,62.384,21.7,30,15.6,0,55,0,51.8,21.9,51.9,2017,1,30 +783,3.724,4.601,278886,29,460,1000,63.838,17.5,22,12,0,54,0,0,16.1,27.8,2017,1,31 +784,3.624,4.609,285228,45,510,920,65.114,16.4,20.3,10,0,59,0,0,11.9,24.1,2017,2,1 +785,3.479,4.44,291341,47,510,910,65.114,18.2,25,13,0,60,0,0,13.3,31.7,2017,2,2 +786,4.518,5.269,255289,27,770,1300,68.82,25.3,30,19,0,66,0,8.2,20.6,31.7,2017,2,5 +787,5.945,5.635,283990,27,310,610,46,15.4,19,14.6,0,65,0,0,20.7,25.9,2017,2,6 +788,5.292,5.215,277078,38,360,930,64.412,20.3,28,15,0,68,0,0,12.8,42.4,2017,2,7 +789,3.021,4.03,295661,40,360,810,63.051,29.8,35,25,0,40,0,0,43.5,64.8,2017,2,8 +790,3.055,3.994,273697,39,350,670,63.326,22.7,37,16.9,0,71,0,0,19.1,57.6,2017,2,9 +791,5.635,6.172,237793,49,350,810,62.119,15,20,12.9,0,60,0,0,28.5,46.5,2017,2,12 +792,3.532,4.457,264397,45,370,800,62.374,16.2,21,13,0,70,0,0,20.9,35.2,2017,2,13 +793,3.558,4.448,325099,40,490,880,65.114,13.9,22,8,0,68,0,0,15.9,40.7,2017,2,14 +794,4.443,4.629,320327,36,360,920,64.958,22.5,32,16.8,0,46,0,0,21.1,44.6,2017,2,15 +795,4.283,4.488,288086,38,420,990,63.728,17.8,25,11,0,70,0,0,14.1,29.4,2017,2,16 +796,3.007,4.33,287587,42,460,1000,64.523,12.2,17,9,0,73,0,51.5,24.4,38.9,2017,2,19 +797,4.988,5.497,310907,35,330,750,61.396,14.3,21,8,0,62,0,0,19.6,40.7,2017,2,20 +798,4.326,5.284,366068,40,390,930,63.949,17.6,24,11,0,49,0,0,15.2,33.5,2017,2,21 +799,4.285,4.747,349201,41,370,840,66,23.7,33,13,0,34,0,0,23.7,48.2,2017,2,22 +800,5.032,5.844,323395,42,440,950,63.792,19.4,26,15,0,64,0,0,19.3,24.1,2017,2,23 +801,4.421,4.431,305186,46,300,760,61.757,21.6,29,14,0,53,0,0,14.8,44.6,2017,2,26 +802,4.615,5.428,304202,40,410,840,64.801,25.1,33,15,0,36,0,0,15.9,29.4,2017,2,28 +803,4.174,5.128,298728,39,390,1100,67.744,21.8,32.3,12,0,47,0,5.5,11.1,25.9,2017,3,1 +804,3.957,4.711,283244,36,520,940,65.59,20.7,26,17,0,73,0,9.7,18.5,27.8,2017,3,2 +805,3.923,4.222,258740,40,320,790,62.16,20.4,26,17,0,70,0,10,24.3,31.7,2017,3,5 +806,3.694,4.558,240628,38,440,910,64.477,19.1,27,11,0,60,0,10,20.4,37,2017,3,6 +807,4.533,4.342,329796,32,460,1100,67.544,19.3,27,11.8,0,54,0,0,13.7,27.8,2017,3,7 +808,3.36,4.816,256277,35,430,960,65.486,22.4,31,14,0,39,0,0,17,35.2,2017,3,8 +809,3.174,4.521,280493,38,160,1000,68,23.6,32,14,0,36,0,0,12,27.8,2017,3,9 +810,5.469,4.714,318664,29,422.98,845.96,63.728,20.6,27,15.8,0,68,0,10,10.9,22.2,2017,3,10 +811,3.166,3.348,242941,43,310,720,62.16,20.8,26,16,0,73,0,9.8,15.2,27.8,2017,3,13 +812,3.147,4.827,237300,40,550,960,66.354,25.9,32,20.8,0,43,0,0,18.5,40.7,2017,3,14 +813,5.436,6.533,262160,42,520,870,66.354,26.8,34,20,0,43,0,9.7,29.8,48.2,2017,3,15 +814,5.072,4.903,287993,50,600,910,65.59,17.9,23,13,0,66,0,10,20.7,31.7,2017,3,16 +815,4.711,4.894,292123,46,360,820,62.795,25.1,33,18.9,0,42,0,0,13.5,31.7,2017,3,19 +816,3.383,4.404,301248,42,330,850,69,21.9,28.3,18.7,0,83,0,8.4,11.9,29.4,2017,3,20 +817,3.949,4.245,305637,43,350,860,63.728,20.7,27,17,0,89,0,6.9,18.3,29.4,2017,3,21 +818,1.874,4.168,269781,44,440,960,64.412,17.3,21,14,0,83,0,10,23.9,37,2017,3,22 +819,4.805,4.036,271353,58,530,910,65.59,17.4,24,12,0,74,0,10,14.4,27.8,2017,3,23 +820,3.042,4.295,237360,50,520,1100,68.82,22.2,28,19,0,67,0,10,21.1,55.4,2017,3,26 +821,3.746,4.119,252600,41,370,780,62.628,17.1,31,10,0,67,0,9.8,21.9,61.1,2017,3,27 +822,3.172,4.191,250282,46,520,1100,68.82,18.4,24.1,12,0,53,0,10,14.6,27.8,2017,3,28 +823,3.853,4.08,261043,42,200,880,63.995,16.1,27,8,0,58,0,9.2,23.7,46.5,2017,3,29 +824,3.114,4.073,224420,41,420,830,63.995,12.3,18,9,0,67,0,10,17.2,33.5,2017,3,30 +825,3.071,4.069,250990,47,340,1100,71,12.6,0,6,0,62,0,10,22,33.5,2017,4,2 +826,4.878,4.137,263371,43,520,920,65.114,14.1,21,7,0,61,0,10,10.4,16.5,2017,4,3 +827,4.275,4.058,240560,48,530,880,65.114,16.8,25,10,0,48,0,0,14.4,29.4,2017,4,4 +828,4.446,4.091,242268,43,440,920,63.995,18,25,12,0,43,0,0,20.2,33,2017,4,5 +829,3.116,6.464,260517,48,370,980,63.995,19.1,26,11.9,0,36,0,0,19.8,35.2,2017,4,6 +830,5.465,4.703,258211,42,270,760,61.69,11.2,13,9,0,87,0,7.6,27,44.6,2017,4,9 +831,5.964,6.066,284125,39,230,680,61.885,12.2,14,10.9,0,55,0.25,9.8,23,40.7,2017,4,10 +832,5.189,12.893,321321,40,350,890,63.792,14.3,18,10.6,0,53,0,9.7,15.2,27.8,2017,4,11 +833,7.488,6.878,270400,39,360,920,64.32,13.8,19,9,0,50,0,9.8,11.5,14.8,2017,4,12 +834,7.19,6.211,244740,44,340,840,64.256,13.9,18,10,0,83,0,10,9.1,16.5,2017,4,17 +835,5.845,5.393,313001,44,430,810,74,15.4,21,10,0,79,0,5.8,9.8,16,2017,4,18 +836,6.122,5.219,259369,45,370,810,62.569,21.3,26,18,0,49,0,0,26.5,40.7,2017,4,19 +837,5.734,5.13,258002,41,390,810,62.371,20.2,26,15.8,0,57,0,9,21.7,44.6,2017,4,20 +838,3.878,4.941,257330,47,340,720,61.834,17.3,21.1,15,0,83,0,9.5,6.9,22.2,2017,4,23 +839,4.374,4.473,287772,29,200,490,54.389,13.8,18,9,0,79,0,9.3,19.1,35.2,2017,4,25 +840,4.884,6.368,316517,27,170,845.96,61.118,5.8,13,6.5,0,74,0,9.8,23.5,48.2,2017,4,26 +841,6.102,6.053,322863,35,300,540,55.605,11.5,15,10.8,0,75,0,10,15.6,31.7,2017,4,27 +842,6.1,6.794,344321,44,350,620,59.879,13.7,16,10,0,63,0,10,16.5,25,2017,4,30 +843,6.119,6.55,328402,58,320,870,63.728,13,18.3,7,0,74,1.02,10,18,29.4,2017,5,1 +844,6.123,6.12,311566,58,340,1000,67,9.3,14,7,0,74,0,10,15.7,31.7,2017,5,2 +845,4.98,5.69,312726,58,360,780,60.792,9.4,14,4,0,72,0,10,12.6,20.6,2017,5,3 +846,4.776,5.259,317632,58,450,960,63.004,9.9,16,4,0,70,0,0,11.7,22.2,2017,5,4 +847,3.886,4.829,292509,81,310,760,60.891,10,14,6.8,0,73,0,10,18.3,33.5,2017,5,7 +848,4.398,4.399,289568,47,320,740,61.533,11.4,15,9.6,0,89,0,10,13.9,25.9,2017,5,8 +849,4.712,4.603,321937,46,270,990,62.894,11.2,15,6,0,82,0,10,9.6,18.3,2017,5,9 +850,5.368,4.845,219198,44,320,845.96,63.467,10.4,17,4.7,0,78,0,10,12,20.6,2017,5,10 +851,3.668,4.821,320927,45,360,890,62.894,10.4,16,4.9,0,77,0,9,12.6,25.9,2017,5,11 +852,3.993,4.872,361560,50,370,830,62.894,10.5,13.2,6.8,0,87,0,8.9,8.9,14.8,2017,5,14 +853,4.086,4.149,319684,47,340,860,62.894,9.6,15,3.9,0,89,0,9.5,9.3,14.8,2017,5,15 +854,3.89,4.086,300436,49,350,960,70,13.2,18,10.9,0,74,0,10,16.3,29.4,2017,5,16 +855,3.912,3.922,324302,50,370,850,63.728,12.7,15,7.9,0,77,0,0,9.4,15.5,2017,5,17 +856,3.003,4.423,309520,44,370,970,63.728,13.2,19,9,0,75,0,0,7.4,31.7,2017,5,18 +857,4.742,4.541,274613,46,330,910,63.885,13.9,17,11,0,82,0,10,23.3,35.2,2017,5,21 +858,2.966,3.358,291639,48,340,830,63.949,15.8,19,13.7,0,66,0,10,32.4,50,2017,5,22 +859,5.711,4.672,290715,48,370,930,63.885,13.3,18,8,0,76,0,10,21.1,35.2,2017,5,23 +860,6.207,4.209,365619,50,470,990,65.114,13.4,17,11.7,0,67,0,10,16.5,33.5,2017,5,24 +861,7.404,9.051,294876,54,410,910,63.728,13.7,17,11,0,76,0,10,17.8,27.8,2017,5,25 +862,7.755,7.928,321372,53,310,720,57,8,14,4,0,75,0,10,20.2,38.9,2017,5,28 +863,5.836,8.088,321293,54,260,760,61.597,11,14,9,0,68,0,10,23.7,38.9,2017,5,29 +864,5.096,8.575,323423,52,320,810,60.728,7.6,12.1,5,0,76,0,10,21.7,35.2,2017,5,30 +865,5.02,6.232,276919,39.222,330,770,62.032,9.4,12.1,7,0,79,0,10,13.9,27.8,2017,5,31 +866,4.041,5.505,339763,49,380,950,62.257,9.1,13,6.8,0,69,0,10,10.4,16.5,2017,6,1 +867,5.137,4.552,297041,42,330,820,60.7,9.4,15,5,0,73,0,10,11.5,22.2,2017,6,4 +868,4.107,4.847,279777,45,320,840,63.091,11.4,17,7.7,0,77,0,10,18.5,24.1,2017,6,5 +869,5.056,4.868,182092,44,310,780,61.285,9.2,12,5.8,0,77,0,10,15,37,2017,6,6 +870,4.141,4.658,281825,50,330,920,62.257,7.8,13,2.6,0,76,0,10,12.6,20.6,2017,6,7 +871,5.511,5.041,275958,48,360,930,63.136,9.5,15,7,0,86,0,9.3,11.7,27.8,2017,6,8 +872,5.823,4.769,319099,40,422.98,845.96,62.257,9.5,14,6,0,83,0,10,8.3,20.6,2017,6,9 +873,4.67,5.667,350719,50,320,760,60.7,11.4,16.3,5.8,0,80,0,10,12.6,29.4,2017,6,12 +874,4.202,5.43,321571,50,320,860,62.257,7.8,14,2,0,85,0,9.5,9.6,22.2,2017,6,13 +875,5.681,4.774,341991,45,370,930,63.091,11.1,16,8,0,76,0,10,18,29.4,2017,6,14 +876,5.512,5.806,239807,40,370,920,63,11.1,17,6.6,0,76,0,10,18,24.1,2017,6,15 +877,4.648,4.152,284389,57,320,760,60.735,10.4,16,6,0,83,0,10,11.7,24.1,2017,6,18 +878,4.149,5.28,312379,50,260,820,60.7,10.7,15.7,5,0,75,0,10,13.3,25.9,2017,6,19 +879,3.802,4.857,272984,47,370,930,63.248,10.7,15,8,0,75,0,9,23.5,35.2,2017,6,20 +880,2.933,4.41,304183,50,280,840,62.257,8.7,13,2.5,0,85,0,10,9.6,24.1,2017,6,21 +881,4.256,4.049,337139,45,400,890,62.257,9.4,13,6,0,73,0,10,19.3,27.8,2017,6,22 +882,3.489,3.9,298144,50,320,850,62.303,9.8,13,5.6,0,75,0,9.8,15.7,25.9,2017,6,25 +883,4.817,4.181,195587,45,330,960,62.83,9.3,12,6,0,84,0,10,7.6,18.3,2017,6,26 +884,4.381,4.044,246730,48,370,960,58,8.6,10.2,7,0,77,0,10,20.6,27.8,2017,6,27 +885,4.346,4.845,285134,47,300,920,63.091,10.1,14,7.7,0,75,0,10,17.4,24.1,2017,6,28 +886,4.617,5.157,305978,52,310,890,62.414,8.3,12,5,0,77,0,10,18.7,33.5,2017,6,29 +887,6.115,4.151,308145,44,350,820,61.051,7.8,12,3.9,0,49,0,0,27.6,48.2,2017,7,2 +888,5.134,5.889,315481,49,300,830,63.248,10.1,12,8,0,79,0,9.8,24.8,37,2017,7,3 +889,4.324,5.898,195683,37,240,860,63.664,12,16,9,0,75,0,1,18.5,25.9,2017,7,4 +890,4.756,4.74,313468,30,320,910,62.257,8.7,14,3,0,74,0,1,17.4,24.1,2017,7,5 +891,3.563,4.72,341903,48,320,920,63.248,9.4,14,7,0,73,0,1,23.9,35.2,2017,7,6 +892,3.668,4.9,309428,36,300,820,66,8.8,13,5,0,66,0,10,23,31.7,2017,7,9 +893,4.053,3.939,310785,45,310,860,62.303,9.9,15,4,0,72,0,1,14.3,27.8,2017,7,10 +894,4.298,4.112,322189,40,320,880,62.257,7,13,2,0,79,0,1,11.5,24.1,2017,7,11 +895,4.289,4.478,283526,51,340,970,62.414,9,14,5,0,68,0,1,25.7,61.1,2017,7,12 +896,4.778,4.481,348358,40,320,980,63.248,10.4,12,9,0,68,0,10,42.8,55.4,2017,7,13 +897,4.364,4.474,305924,42,340,780,60.856,8.6,11,6.7,0,59,0,101,40.7,51.9,2017,7,16 +898,4.444,4.89,275043,50,340,920,63.293,10.1,14,7,0,70,0,1,31.3,53.5,2017,7,17 +899,3.523,4.592,314661,50,340,1100,66.954,9.8,14,7,0,77,0,1,21.1,33.5,2017,7,18 +900,6.058,4.922,330698,44,340,880,62.414,8.5,11,5,0,83,0,9.5,25,37,2017,7,19 +901,5.623,4.623,342479,44,260,840,60.481,6.1,10,1.7,0,81,0,10,17.4,48.2,2017,7,20 +902,4.283,6.693,284274,46,270,790,60.728,9.2,14,4.8,0,79,0,9.8,19.1,38.9,2017,7,23 +903,3.819,4.942,293730,38,300,890,63.248,10.6,15,8,0,75,0,1,25.6,42.4,2017,7,24 +904,3.828,4.511,312083,43,350,1000,56,12.1,17,9,0,65,0,10,25.7,46.5,2017,7,25 +905,3.376,4.287,315783,36,290,920,62.414,8.3,15,4,0,79,0,10,20.6,37,2017,7,26 +906,5.025,4.619,324973,37,370,920,62.414,9.9,12,6,0,76,0,10,28.2,50,2017,7,27 +907,3.407,3.668,239882,40,220,830,63.052,9.6,17,3,0,62,0,1,16.3,35.2,2017,7,30 +908,4.242,4.646,288137,37,300,800,60.406,7.7,15,3,0,72,0,10,12,20.6,2017,7,31 +909,2.986,3.847,298435,37,270,870,62.257,7.4,14,2,0,78,0,6.8,8.3,14.8,2017,8,1 +910,4.126,4.421,302644,38,340,1000,60.324,5.4,12,1,0,84,0,8.7,9.6,16.5,2017,8,2 +911,3.617,3.895,303115,43,320,900,62.257,6.8,8.1,4,0,93,0,5.1,7.8,14.8,2017,8,3 +912,3.732,3.903,282028,40,330,920,62.414,8.4,12,6,0,74,0,0,24.3,37,2017,8,6 +913,3.663,4.162,285242,37,320,820,60.563,7.7,12,5,0,82,0,0,21.7,35.2,2017,8,7 +914,3.712,4.098,284836,36,330,820,60.406,10.6,14.1,6,0,73,0,0,18.1,21.8,2017,8,8 +915,4.215,4.109,212253,38,360,800,62.023,12.3,16,10,0,69,0,0,45.9,74.1,2017,8,9 +916,5.005,3.566,312287,40,330,830,68,12.9,18,7.7,0,54,0,0,27.6,66.5,2017,8,10 +917,4.044,5.16,292451,34,300,750,61.591,13.9,18,11.6,0,52,0,0,39.4,53.5,2017,8,13 +918,4.164,5.036,264278,41,320,850,63.358,13.7,19,9,0,59,0,0,29.6,51.9,2017,8,14 +919,3.815,4.256,338322,41,350,900,63.248,13.9,17,9.7,0,70,0,0,27.6,55.4,2017,8,15 +920,4.006,4.315,347841,41,360,900,63.312,12.6,17,8,0,55,0,0,31.9,53.5,2017,8,16 +921,3.901,4.306,352555,31,340,870,62.479,9.3,15,5,0,67,0,0,26.5,46.5,2017,8,17 +922,3.783,4.241,320506,30,260,740,60.563,8.5,13,6,0,61,0,0,13.5,33.5,2017,8,20 +923,4.445,4.086,297794,93,320,800,60.735,8.3,12,4,0,71,0,0,20.6,21.8,2017,8,21 +924,4.013,4.607,325069,40,340,850,60,11.9,17,7,0,63,0,0,11,24.1,2017,8,22 +925,3.973,4.517,286574,32,350,880,62.414,9.4,17,4,0,74,0,9.7,18.9,33.5,2017,8,23 +926,4.582,4.219,315745,32,300,780,60.406,7.8,13.1,3,0,77,0,0,14.8,31.1,2017,8,24 +927,5.545,4.341,314119,27,250,660,58.769,5.8,9.2,3,0,80,0,0,18.3,46.5,2017,8,27 +928,4.123,5.25,288283,42,310,740,60.765,7.1,11,3,0,79,0,0,10.2,18.3,2017,8,28 +929,4.403,5.395,289394,42,330,820,60.572,8.8,12,4,0,70,0,0,11.9,24.1,2017,8,29 +930,4.579,4.552,306590,45,370,970,62.257,7,12,1,0,77,0,9.8,13.5,27.8,2017,8,30 +931,4.232,4.563,282173,30,360,950,62.849,7.7,14,2,0,66,0,0,14.1,29.4,2017,8,31 +932,4.54,4.604,281519,36,360,980,63.84,11.2,15,7,0,59,0,10,24.3,40.7,2017,9,3 +933,4.667,4.57,293503,40,460,1000,62.524,7.5,13,4.9,0,56,0,10,30.9,57.6,2017,9,4 +934,5.432,4.641,319247,36,380,930,70,7.8,13,4.8,0,65,0,9.7,29.8,50,2017,9,5 +935,4.573,5.237,254582,30,370,920,62.942,9.6,15,5,0,73,0,10,21.3,38.9,2017,9,6 +936,5.162,5.288,337212,42,420,1000,62.414,10.1,15,6.8,0,75,0,9.8,23.5,37,2017,9,7 +937,4.531,5.459,313190,38,330,830,63.312,11.4,16,8,0,63,0,10,21.5,53.5,2017,9,10 +938,4.261,4.805,326101,43,340,880,63.312,14.3,17,11,0,62,0,10,30.2,50,2017,9,11 +939,4.193,4.646,370055,48,340,940,63.248,14.7,20,9,0,72,0,10,19.1,33.5,2017,9,12 +940,4.188,4.488,304270,27,350,890,62.414,8.5,15,4,0,70,0,10,27.8,44.6,2017,9,13 +941,4.338,4.591,304934,31,480,910,64.477,11.3,14,9,0,67,0,10,22.6,37,2017,9,14 +942,3.815,4.661,321835,24,320,730,59.797,12.7,18,9,0,44,0,0,37,64.8,2017,9,17 +943,4.103,4.4,346073,32,360,920,63.312,13.4,21.2,7,0,49,0,10,31.9,61.1,2017,9,18 +944,3.282,4.161,371725,29,380,1300,67.019,9.3,14,4.9,0,64,0,10,20,35.2,2017,9,19 +945,4.46,4.562,236862,31,480,1100,68.183,14.1,19,11,0,53,0,0,32.8,55.4,2017,9,20 +946,4.314,4.16,301200,35,422.98,845.96,63.312,15.4,23,10,0,60,0,10,20.9,51.9,2017,9,21 +947,4.512,4.208,326495,41,380,860,63.312,14.3,19,9,0,53,0.25,9.2,29.1,57.6,2017,9,24 +948,4.11,5.036,262565,38,422.98,845.96,62.942,8.2,13.4,2,0,78,0,10,17,35.2,2017,9,25 +949,3.587,4.608,320429,40,422.98,845.96,63.312,11.5,16,8,0,56,0,10,10.6,37,2017,9,26 +950,4.898,4.362,339197,38,520,860,64.477,15.7,24,7.5,0,47,0,10,20.2,51.9,2017,9,27 +951,4.525,4.288,233792,46,422.98,845.96,63.84,13.2,17,9,0,52,0,10,25,40.7,2017,9,29 +952,4.324,5.333,283684,50,400,970,62.785,11.9,17,6,0,75,0,9.5,13.3,24.1,2017,10,1 +953,3.803,4.696,274785,45,450,1000,62.895,10.5,19,4,0,73,0,10,11.3,20.6,2017,10,2 +954,4.415,4.341,259801,44,330,900,66,13.3,23,5.5,0,60,0,10,13,24.1,2017,10,3 +955,3.418,4.512,303702,41,380,1000,63.155,20.6,26,17,0,38,0,0,19.5,29.4,2017,10,4 +956,4.603,4.335,343694,44,420,900,63.312,13.1,20,8.6,0,65,0,10,29.3,50,2017,10,5 +957,5.155,4.269,342413,44,320,840,63.312,18.3,25,13,0,66,0,9.8,35,64.5,2017,10,8 +958,4.931,4.901,341127,44,480,845.96,63.643,12.4,19.2,5,0,60,0,10,18.1,40.7,2017,10,9 +959,4.021,5.469,256975,41,480,920,64.953,14.2,20,7,0,49,0,10,15.4,55.4,2017,10,10 +960,4.792,4.816,375692,41,410,880,63.312,14.5,24,7.8,0,61,0,9.7,29.3,63,2017,10,11 +961,4.057,4.551,339797,38,320,790,60.758,13.9,18,5,0,56,0,10,18.1,35.2,2017,10,12 +962,3.729,4.736,298750,44,320,690,55,13.9,23,9,0,73,0,9,11.3,27.5,2017,10,15 +963,4.303,4.426,303516,41,330,900,63.312,20.3,28.1,12.5,0,51,0,0,18.7,38.9,2017,10,16 +964,4.036,4.349,334167,41,370,1000,63.312,21.5,30,12,0,37,0,0,24.6,51.9,2017,10,17 +965,4.179,4.285,279218,40,440,900,63.84,24.7,30,19,0,41,0,10,31.1,46.5,2017,10,18 +966,4.129,4.487,285873,48,350,930,62.942,14.9,25,5,0,73,0,9.7,19.1,38.9,2017,10,19 +967,4.144,4.352,314317,39,400,850,63.091,13.2,16,10,0,75,0,10,15.9,24.1,2017,10,22 +968,4.491,4.167,331802,34,420,850,63.091,14.5,20,9,0,70,0,10,10.2,27.5,2017,10,23 +969,3.267,4.355,293425,37,350,880,63.091,15.5,22,12.7,0,77,0,7.9,10.7,25.9,2017,10,24 +970,3.003,4.241,180460,35,360,770,61.668,13.9,17,11,0,82,0,92,15.4,25.9,2017,10,25 +971,4.127,4.407,304905,45,410,830,63.155,13.5,20,12,0,50,0,10,17.5,29.4,2017,10,26 +972,3.897,4.277,276256,47,340,860,63.84,17.6,28.3,7,0,42,0,9.3,32,57.6,2017,10,29 +973,4.046,4.245,277247,33,340,910,62.942,9.6,15.2,5,0,71,0,10,18.5,42.4,2017,10,30 +974,3.968,4.193,275270,50,320,780,62.032,13,16,11.6,0,66,0,10,16.7,25.9,2017,10,31 +975,3.744,4.185,244846,50,380,790,58,12.9,17,9,0,81,0,92,16.3,24.1,2017,11,1 +976,3.929,4.386,284899,50,470,1000,64.477,11.3,15,8,0,72,0,0,14.1,33.5,2017,11,2 +977,3.049,4.039,237365,52,330,850,63.729,12.1,18,8,0,59,0,0,18.3,29.4,2017,11,5 +978,4.55,3.963,224424,78,330,810,62.547,12.3,15,8.7,0,54,0,0,21.5,33.5,2017,11,7 +979,3.678,3.925,212952,53,460,960,63.774,12.8,18,8,0,71,0,0,11.9,24.1,2017,11,8 +980,5.485,4.036,230159,52,400,940,63.729,15.3,22,10,0,67,0,9.8,13.5,25.9,2017,11,9 +981,4.606,4.211,265386,36,330,950,63.683,19.1,27,11,0,61,0,8.7,13.1,27.8,2017,11,12 +982,4.37,5.706,270370,46,550,1100,68.183,25.4,33,17,0,34,0,0,22,51.9,2017,11,13 +983,4.212,4.506,263309,41,480,1000,65.717,27.6,34,22,0,27,0,0,30.6,51.9,2017,11,14 +984,3.82,5.062,302874,42,440,890,58,21.2,31,16.5,0,62,0,6.8,18.3,51.9,2017,11,15 +985,4.704,4.314,320313,38,350,860,63.091,18.3,23,15,0,83,0,0,14.4,25.9,2017,11,16 +986,3.238,4.197,262783,41,340,900,63.84,21.7,28.1,14.6,0,57,0,0,19.3,37,2017,11,19 +987,3.87,4.198,280668,40,290,900,64.849,23.8,31,14.6,0,47,0,0,19.6,33.5,2017,11,20 +988,3.926,4.258,283348,45,360,1100,67.315,25.1,32,16,0,38,0,0,17,35.2,2017,11,21 +989,3.001,4.231,275802,38,430,940,64.849,23.6,32.4,12,0,33,0,0,16.9,38.9,2017,11,22 +990,4.186,4.444,292177,43,380,890,64.321,24.8,33.1,16,0,39,0,0,19.1,40.7,2017,11,23 +991,2.759,4.161,285816,49,300,870,63.619,19.8,27.5,15,0,78,0.25,8.4,14.8,31.7,2017,11,26 +992,5.087,4.317,284670,50,430,840,53,16.3,22,11,0,73,0,0,14.6,29.4,2017,11,27 +993,4.351,4.398,293724,42,350,890,63.312,24.7,30,18,0,53,0,0,18,44.6,2017,11,28 +994,3.883,4.154,323670,42,360,950,64.321,28.7,35,21,0,37,0,0,23.5,48.2,2017,11,29 +995,3.761,4.253,357342,45,470,1100,68.183,25.7,35.1,20,0,53,0,0,23.2,40.7,2017,11,30 +996,3.935,4.081,328661,13,140,360,53.053,13,15.2,11,0,77,0,9,22.2,37,2017,12,3 +997,3.499,4.366,303007,29,280,590,54.531,13.3,17,10,0,76,0,10,16.5,31.7,2017,12,4 +998,3.921,4.201,352520,29,340,840,63.091,16.5,22,12,0,72,0,10,15.6,31.7,2017,12,5 +999,5.019,4.169,367629,39,350,740,61.533,15.3,22,9.7,0,72,0,10,12.8,25.9,2017,12,6 +1000,5.735,3.977,364181,30,290,650,61.24,15.3,23,9,0,71,0,9.3,17,27.8,2017,12,7 +1001,6.099,9.41,393338,38,360,770,61.24,17.6,23,13,0,67,0,10,14.6,25.9,2017,12,10 +1002,6.015,11.354,331550,33,270,710,54,17.5,21,15,0,64,0,10,15.7,25.9,2017,12,11 +1003,6.007,9.082,350111,35,610,900,65.241,20.8,31,13,0,53,0,10,16.9,38.9,2017,12,12 +1004,5.941,8.745,344578,46,350,820,62.894,28.8,37,20.5,0,23,0,0,24.3,44.6,2017,12,13 +1005,5.059,7.54,341039,36,300,780,61.24,18,24,13,0,65,0,10,17,29.4,2017,12,14 +1006,4.767,6.202,330513,36,340,820,61.24,19.8,25,15,0,72,0,10,14.8,22.2,2017,12,17 +1007,4.758,5.225,319609,32,420,890,64.321,28.7,33,25,0,31,0,0,17,37,2017,12,18 +1008,4.757,5.219,316913,27,360,860,64.321,22.6,38,15,0,56,0,10,22.4,55.4,2017,12,19 +1009,4.67,5.184,322943,27,330,800,59.702,16.2,24,10,0,64,0,10,17.8,33.5,2017,12,20 +1010,4.521,4.697,315431,36,300,860,63.683,18.1,24.1,12,0,63,0,10,12.8,27.8,2017,12,21 +1011,5.411,4.881,269519,37,422.98,845.96,64.849,21.3,31,14,0,47,0,9.3,17.4,33.5,2017,12,23 +1012,4.099,5.369,269727,46,490,810,63.04,23.9,30,17,0,45,0,0,23.2,51.9,2017,12,26 +1013,3.863,4.927,295216,27,290,570,47,28.6,34,23,0,35,0,10,22.2,40.7,2017,12,27 +1014,4.348,4.393,272602,28,290,680,61.192,21.8,32,18,0,70,0,9.8,14.4,38.9,2017,12,28 +1015,4.77,4.176,261361,29,422.98,845.96,63.775,18.2,24,13,0,83,0,9.5,12.6,35.2,2017,12,29 +1016,3.952,4.995,294830,33,280,770,61.866,19.3,26,16,0,59,0,10,17.2,31.7,2018,1,1 +1017,3.683,4.721,264043,35,320,750,61.866,17.2,23,11,0,62,0,10,20.9,31.7,2018,1,2 +1018,3.666,4.322,228976,45,500,880,65.59,17.2,22,12,0,58,0,10,16.3,27.8,2018,1,3 +1019,4.748,3.857,240676,46,670,940,65.59,18.4,24,12,0,65,0,10,12.2,25.9,2018,1,4 +1020,4.083,4.434,281666,39,410,1100,67.486,18.2,21,16,0,74,0,10,13.7,22.2,2018,1,7 +1021,3.66,4.897,263358,47,340,900,64.32,18.7,23,14,0,66,0,10,16.3,24.1,2018,1,8 +1022,3.597,4.263,247567,44,540,970,65.59,17,22,12,0,61,0,10,23.5,35.2,2018,1,9 +1023,5.034,4.023,200216,29,530,890,56,19.7,28,13.9,0,58,0,0,11.9,20.6,2018,1,10 +1024,4.405,4.066,266754,37,360,920,65.486,29.6,35,25,0,26,0,10,22.4,46.5,2018,1,11 +1025,4.091,5.283,219748,32,270,650,61.668,15.9,19,13,0,62,0,9.8,21.1,31.7,2018,1,14 +1026,4.701,4.745,291562,40,330,1100,67.591,16.4,21,11,0,72,0,10,19.1,33.5,2018,1,15 +1027,3.927,4.764,232473,47,340,950,64.32,18.5,26,11,0,59,0,10,16.5,31.7,2018,1,16 +1028,3.747,4.695,243517,38,580,930,66.354,23.6,32,15.5,0,36,0,0,18,42.4,2018,1,17 +1029,4.77,4.3,255588,50,490,990,66.354,32,39,22,0,16,0,0,25.2,46.5,2018,1,18 +1030,6.02,4.029,241014,56,300,780,62.195,23.9,29,18.8,0,68,0,6.9,10.7,20.6,2018,1,21 +1031,5.325,6.195,227807,36,300,790,56,20.6,26,17,0,66,0,10,17.2,29.4,2018,1,22 +1032,4.198,5.502,251943,37,370,910,64.32,19.1,25,13,0,65,0,10,15,29.4,2018,1,23 +1033,4.092,5.355,262035,45,420,920,64.32,20,25,16,0,67,0,10,15.4,27.8,2018,1,24 +1034,4.118,4.419,255015,30,422.98,845.96,65.265,22.9,31,20,0,82,0,5.6,12.8,31.7,2018,1,26 +1035,3.937,4.301,246633,35,350,750,63.227,32.1,38,26.9,0,39,0,0,35.7,57.6,2018,1,28 +1036,4.07,4.142,311694,33,290,810,62.405,21.3,33,14,0,76,0,6.9,23.3,53.5,2018,1,29 +1037,4.132,4.196,315479,20,230,550,53.053,15.3,19,12,0,60,0,10,26.5,38.9,2018,1,30 +1038,3.657,4.174,300483,30,330,810,61.591,14.6,19,9,0,52,0,9.8,26.1,38.9,2018,1,31 +1039,3.006,4.702,307393,49,370,820,61.748,17.3,22,13,0,60,0,10,19.6,37,2018,2,1 +1040,5.868,4.204,281575,44,360,820,62.218,20.8,27,15,0,61,0,10,13.1,24.1,2018,2,4 +1041,4.663,4.444,254419,37,400,800,65,21.1,27,16,0,65,0,10,14.4,25.9,2018,2,5 +1042,6.044,5.409,256599,34,490,920,66.354,23.3,31,15.6,0,56,0,0,13.5,35.2,2018,2,6 +1043,5.547,9.911,198060,31,360,850,65.531,28.1,37,20,0,37,0,0,18.1,33.5,2018,2,7 +1044,5.054,8.081,283600,51,340,890,63.728,22.8,29,19,0,68,0,10,15.2,29.4,2018,2,8 +1045,5.311,6.128,267864,45,610,880,65.59,17.4,22,14.7,0,54,0,10,21.1,33.5,2018,2,11 +1046,4.067,5.761,248735,47,640,1700,68.82,17.6,23,11,0,59,0,10,13.3,24.1,2018,2,12 +1047,4.188,5.629,229126,40,400,1000,64.477,23.8,29.4,17,0,33,0,10,19.8,57.6,2018,2,13 +1048,4.381,5.039,314438,41,550,1000,65.114,16.8,24,9.7,0,40,0,0,23.5,51.9,2018,2,14 +1049,5.264,5.003,300011,39,600,990,65.114,18.7,23.3,13,0,54,0,10,18.7,29.4,2018,2,15 +1050,4.438,4.591,264966,48,340,910,64.256,19.7,26,17,0,72,0,10,19.4,27.8,2018,2,18 +1051,5.71,4.729,272804,50,640,1200,68.82,18.3,26,11.7,0,68,0,10,23.7,44.6,2018,2,19 +1052,5.895,4.658,319073,43,490,920,65.114,21.3,29,14,0,48,0,10,18.5,55.4,2018,2,20 +1053,4.339,7.958,314252,39,350,1100,65,23.1,29,18.7,0,46,0,0,16.7,53.5,2018,2,21 +1054,3.891,5.295,299886,41,330,1100,67.499,23.8,28,19.8,0,60,0,10,11.9,27.8,2018,2,22 +1055,4.05,4.402,301713,50,350,910,63.949,15.4,19,10.7,0,66,0,10,26.1,38.9,2018,2,25 +1056,4.961,4.474,310462,43,310,950,63.949,19.6,26,12.7,0,57,0,0,17,44.6,2018,2,26 +1057,3.551,4.63,288529,38,340,780,62.6,25.2,31,19,0,33,0,0,28.3,55.4,2018,2,27 +1058,5.497,4.406,279514,38,340,900,64.958,20.3,31,15,0,50,0,10,28.5,46.5,2018,2,28 +1059,7.384,3.997,346468,38,340,800,61.24,17.2,21,14.6,0,73,0,10,17,29.4,2018,3,1 +1060,6.032,14.551,318847,46,360,1000,63.792,16.6,21,13,0,55,0,10,19.8,29.4,2018,3,4 +1061,6.625,12.652,294423,38,260,740,60,16.1,20,10.5,0,60,0,10,25.4,35.2,2018,3,5 +1062,6.399,8.021,340930,45,370,980,63.792,18.3,26,11,0,56,0,0,14.1,29.4,2018,3,6 +1063,0.143,6.693,253080,40,360,860,63.995,21.7,30,13.7,0,46,0,0,18.1,33.5,2018,3,7 +1064,0.028,5.869,339219,38,380,940,64.801,21.6,31,12,0,46,0,0,14.3,27.8,2018,3,8 +1065,2.331,4.522,332643,48,422.98,845.96,64.801,21.9,31,13,0,42,0,0,14.3,25.9,2018,3,9 +1066,2.013,4.192,320902,43,340,860,63.949,16.6,20,13,0,64,0,10,21.1,33.5,2018,3,12 +1067,2.056,4.181,297998,38,330,810,61.24,16.7,21.3,13,0,64,0,10,15.7,29.4,2018,3,13 +1068,4.443,4.146,312583,39,360,800,61.591,16.9,22,13,0,65,0,10,11.7,22.2,2018,3,14 +1069,7.102,4.751,284939,68,350,840,63.728,15.8,21,11,0,69,0,10,13.9,25.9,2018,3,15 +1070,6.607,4.805,303374,49,360,890,63.949,16.8,22,11,0,34,0,10,26.7,53.5,2018,3,18 +1071,6.809,5.435,280064,43,310,760,61.728,19.4,28,14.7,0,52,0,10,18.9,31.7,2018,3,19 +1072,5.589,5.339,323207,52,540,1500,68.82,14.1,18,9,0,55,0,10,26.3,40.7,2018,3,20 +1073,7.695,5.607,256047,45,400,1200,78,16.8,26,10,0,56,0,0,12.6,27.8,2018,3,21 +1074,5.749,7.645,299212,47,510,1300,68.82,21.1,28,15,0,42,0,0,17.8,42.4,2018,3,22 +1075,5.438,6.917,326326,38,600,960,65.114,16,25,9,0,50,0,9.3,32,44.6,2018,3,25 +1076,5,5.122,386087,43,350,940,63.949,12.7,19,7.9,0,65,0,10,23.7,40.7,2018,3,26 +1077,5.05,5.755,383882,40,340,960,63.949,19.1,23,15.6,0,38,0,0,30.4,53.5,2018,3,27 +1078,4.303,5.38,385023,46,340,920,63.949,20.2,30,15,0,54,0,10,16.9,35.2,2018,3,28 +1079,4.026,4.686,304303,41,422.98,845.96,63.792,16.9,24,11,0,64,0,10,14.3,27.8,2018,3,30 +1080,4.742,4.535,316841,49,340,890,63,16.2,21,11,0,66,0,10,14.3,24.1,2018,4,2 +1081,4.662,4.602,345170,51,330,930,63.792,15.8,20,12,0,66,0,10,10.4,18.3,2018,4,3 +1082,3.057,4.841,361080,43,360,1100,67.434,16.2,23,12,0,72,0,10,10.6,22.2,2018,4,4 +1083,4.95,4.885,373131,46,360,1000,63.728,15.6,20,12,0,73,0,10,9.8,22.2,2018,4,5 +1084,4.661,4.14,343579,50,330,880,63.949,21.9,30.1,12.7,0,38,0,0,17.8,46.5,2018,4,8 +1085,3.026,5.372,335682,38,370,1100,67.656,19.3,26,13,0,56,0,10,15,53.5,2018,4,9 +1086,4.406,4.266,329495,39,422.98,845.96,63.949,22.7,28,17,0,44,0,10,22.8,38.9,2018,4,10 +1087,4.034,4.125,224909,49,370,920,64.522,21.4,30,15.4,1010.5,53,0.25,11.6,16.7,35,2018,4,11 +1088,5.863,4.225,302386,35,460,1100,67.544,17.6,28,10,0,54,0,10,16.7,27.8,2018,4,12 +1089,4.848,8.777,269376,39,310,840,64.412,16.5,20,14.8,0,70,0,10,23.2,44.6,2018,4,15 +1090,4.499,6.299,218684,41,300,980,63.995,14.8,22,11,0,62,0,10,24.3,40.7,2018,4,16 +1091,3.961,5.247,168264,50,350,940,62.94,10.1,16,3.7,0,68,0,10,13.7,25.9,2018,4,17 +1092,3.035,4.69,173441,34,710,1500,77,14.3,23.2,9,0,63,0,0,13.5,29.4,2018,4,18 +1093,4.166,4.217,179307,43,410,990,63.838,14,24,7,0,60,0,9.8,11.3,22.2,2018,4,19 +1094,3.032,3.982,180832,46,320,810,61.504,14.7,23,7.8,0,80,0,6,8.5,16.5,2018,4,22 +1095,3.049,3.78,303770,43,360,880,63.949,21.6,28,14,0,35,0,0,28.2,46.5,2018,4,23 +1096,4.402,3.494,302053,52,370,870,63.728,14.9,21,9,0,71,0,10,13,22.2,2018,4,25 +1097,3.039,4.384,319048,39,460,940,63.838,12.8,18,8,0,71,0,10,13.1,27.8,2018,4,26 +1098,3.398,4.035,263403,44,340,710,62.032,12.2,18,8,0,81,0,10,12,24.1,2018,4,29 +1099,3.065,3.979,306663,40,340,820,60.766,12.6,20,6,0,57,0,10,13,24.1,2018,4,30 +1100,3.709,3.74,319098,40,310,850,54,17.9,23,13,0,32,0,0,22.6,35.2,2018,5,1 +1101,4.915,3.684,313327,40,350,670,61.885,15.1,23,14.6,0,40,0,0,27.4,48.2,2018,5,2 +1102,3.73,4.255,288646,45,490,880,65.114,17.2,25,10,0,48,2.03,9.7,25.9,50,2018,5,3 +1103,3.821,4.899,302958,50,350,1100,67.656,14.9,20.1,10,0,60,0,10,18.5,46.5,2018,5,6 +1104,4.228,4.14,296588,46,350,1000,63.949,15.6,19,11,0,53,0,10,22,37,2018,5,7 +1105,4.043,3.954,291266,50,490,1200,68.82,11.5,15,7,0,70,0,10,13.9,24.1,2018,5,8 +1106,3.082,4.653,330347,39,500,1300,68.82,12.9,15,6.5,0,60,0,9.2,21.5,35.2,2018,5,9 +1107,3.087,3.927,370243,43,340,950,61.118,5.5,12,6,0,77,0,5.5,24.5,46.2,2018,5,10 +1108,4.354,3.758,236521,50,300,790,60.994,11.1,16,6,0,54,0,9,15,27.8,2018,5,13 +1109,3.058,3.816,260440,18,350,850,62.94,11.3,15,5,0,79,0,10,10.7,18.3,2018,5,14 +1110,4.155,4.301,269052,29,340,920,68,10.1,14,7,0,50,1.02,9.5,15.9,35.2,2018,5,15 +1111,3.062,4.19,262713,41,360,900,64.32,10.7,13,9,0,67,0,10,14.3,20.6,2018,5,16 +1112,3.074,3.741,268245,50,360,960,64.256,12.7,14,11,0,79,0,10,14.4,27.5,2018,5,17 +1113,4.045,3.675,309405,40,340,770,61.533,13.5,16,10,0,77,0,9.7,21.5,31.7,2018,5,20 +1114,3.028,3.745,293593,42,380,790,61.69,13.3,15,11.8,0,76,0,10,22,31.7,2018,5,21 +1115,3.68,3.884,311403,36,350,1000,63.792,12.9,16,10,0,56,0,9.7,18.1,31.7,2018,5,22 +1116,3.841,3.679,232384,35,340,930,64.301,12.7,14,11.7,0,74,0,10,16.3,27.5,2018,5,23 +1117,2.961,3.966,342567,41,350,1100,67.434,12.4,15.1,10,0,73,0,10,12.2,25.9,2018,5,24 +1118,2.972,3.864,296912,50,260,720,49,15.8,20,13.6,0,57,0,10,31.7,44.6,2018,5,27 +1119,3.658,3.709,304357,48,310,810,61.757,15.9,21,12,0,54,0,10,34.5,46.5,2018,5,28 +1120,2.953,3.639,270284,45,320,920,63.643,10.7,16,5,0,66,0,10,16.1,37,2018,5,29 +1121,3.968,3.675,255398,40,370,970,63.532,11.1,15,5,0,66,0,10,22.5,29.4,2018,5,30 +1122,2.963,3.609,271012,27,340,900,62.94,7.8,14,3,0,75,0,10,13.7,31.7,2018,5,31 +1123,4.112,4.046,252658,38,320,400,58.089,9.1,13,5,0,87,0,9.8,10.9,14.8,2018,6,3 +1124,3.688,3.925,259956,31,430,1100,66.849,10.8,14.1,8.8,0,85,0,9.7,10.4,16.5,2018,6,4 +1125,3.513,4.175,276357,27,430,980,63.091,11.3,15,7,0,81,0,10,10,16.5,2018,6,5 +1126,4.182,3.957,293012,34,390,1000,63.312,12.8,18,7,0,61,0,10,21.3,46.5,2018,6,6 +1127,2.974,3.857,255255,35,430,1200,67.07,14.2,16,12,0,61,0,10,36.3,57.6,2018,6,7 +1128,3.485,3.788,238215,38,422.98,845.96,63.775,11.4,13,9,0,86,0,10,19.1,37,2018,6,8 +1129,3.539,3.677,227780,41,330,910,63.821,12.6,16,10,0,70,0,10,36.3,48.2,2018,6,11 +1130,2.987,3.838,176208,34,330,930,63.821,11.3,15,7,0,73,0,10,21.7,38.9,2018,6,12 +1131,3.053,4.057,328442,31,300,1100,66.954,9.6,13,7,0,77,0,10,22.6,35.2,2018,6,13 +1132,4.417,3.852,360953,29,410,800,52,11,13,9,0,68,0,10,31.9,55.4,2018,6,14 +1133,2.985,3.162,312384,23,240,560,53.295,9.3,12,8,0,93,0,8.7,26.1,44.6,2018,6,17 +1134,3.522,4.009,337634,29,300,720,60.406,6.3,11,1.9,0,89,0,9.5,10.2,20.6,2018,6,18 +1135,3.691,3.94,295037,42,340,790,60.7,7.4,13,3,0,76,0,10,13,29.4,2018,6,19 +1136,3.555,3.663,334475,38,320,780,60.406,8,14,3,0,75,0,10,18.9,29.4,2018,6,20 +1137,3.017,3.801,280133,33,320,970,62.257,8,15,3,0,71,0,10,13.9,22.2,2018,6,21 +1138,3.674,3.864,267323,35,320,790,61.033,9.1,12,6,0,67,0,10,12.2,24.1,2018,6,24 +1139,3.038,3.727,241117,30,340,1000,63.136,9.6,12,8,0,80,0,10,4.3,13,2018,6,25 +1140,3.798,3.698,241714,45,450,790,56,7.8,14,3,0,86,0,7.4,8,14.8,2018,6,26 +1141,3.889,3.726,274864,46,560,1000,63.643,6.8,13,2.5,0,88,0,4.2,7,13,2018,6,27 +1142,3.048,4.255,258832,38,550,890,64.12,8.2,10,5,0,88,0,9.2,14.3,35.2,2018,6,28 +1143,3.076,3.738,197054,36,340,870,62.83,7.1,14,2,0,74,0,10,15.4,24.1,2018,7,1 +1144,4.54,4.004,196853,41,360,1100,67.115,9.1,14,6,0,67,0,10,29.1,57.6,2018,7,2 +1145,1.743,3.106,222667,38,420,1000,62.987,10.8,14,5.4,0,68,0,10,38.7,53.5,2018,7,3 +1146,5.076,4.353,219809,32,500,1100,68.183,12.9,16,9.1,0,62,0,10,49.1,63,2018,7,4 +1147,2.989,3.657,225159,47,590,1200,68.183,14.4,18,9,0,57,0,10,30,53.5,2018,7,5 +1148,3.725,3.851,259038,53,320,820,65,10.5,13,8,0,77,0,9.5,27,44.6,2018,7,8 +1149,2.981,3.788,257045,54,290,930,62.303,9.6,13,6,0,73,0,10,15.4,27.8,2018,7,9 +1150,3.863,3.785,263663,54,270,920,62.524,8.1,11,4.9,0,66,0,10,15.9,40.7,2018,7,10 +1151,6.021,3.87,249311,52,350,960,62.987,6.7,10,2.7,0,76,0,10,14.6,38.9,2018,7,11 +1152,5.055,3.977,261481,52,330,930,62.849,7.9,12,6,0,55,0,10,9.6,13,2018,7,12 +1153,3.558,6.92,210059,53,320,850,63.052,8.5,12,6,0,60,0,10,40.2,53.5,2018,7,15 +1154,5.485,4.721,239570,46,330,830,63.052,9,13,6,0,61,0,10,37.2,51.9,2018,7,16 +1155,3.1,4.287,241046,49,330,850,62.524,9.1,16,5,0,66,0,9.5,35.7,63,2018,7,17 +1156,6.215,5.224,243416,49,310,1000,63.006,10.2,14,6.7,0,57,0,10,33.2,51.9,2018,7,18 +1157,5.844,4.032,267608,44,350,1100,67.07,9.3,17,5,0,66,0,10,20.7,40.7,2018,7,19 +1158,3.622,6.751,227613,49,280,850,63.052,9,13,6,0,55,0,10,36.5,63,2018,7,22 +1159,4.117,5.459,286788,47,320,940,63.84,9.3,13,7,0,65,0,10,41.1,66.5,2018,7,23 +1160,3.513,4.107,362730,26,320,1000,63,10.1,16,6,0,74,0,10,27.5,53.5,2018,7,24 +1161,3.391,4.077,309158,40,330,820,60.728,10.2,14,5,0,78,0,10,24.6,37,2018,7,26 +1162,3.954,4.09,309731,35,290,770,60.563,9,14,6.5,0,69,0,10,25.7,50,2018,7,29 +1163,3.019,3.896,289943,35,320,820,60.563,9.4,12,6,0,65,0,10,30.4,51.9,2018,7,30 +1164,3.65,3.777,260510,35,330,1000,63.885,10.7,15,7,0,66,0,9.7,22.6,38.9,2018,7,31 +1165,3.61,3.873,285437,36,340,890,62.942,9.2,15,4,0,70,0,10,15.4,35.2,2018,8,1 +1166,3.385,3.691,297410,40,360,930,63.312,11.4,15,8,0,56,0,10,35.9,66.5,2018,8,2 +1167,3.917,4.087,251865,42,330,820,62.512,12.3,16,7.6,0,50,0,10,34.8,51.9,2018,8,5 +1168,4.433,3.827,331653,50,360,1100,67.019,8.5,13,5,0,65,0,10,23.5,35.2,2018,8,6 +1169,3.654,3.921,325329,44,360,900,63.312,10.9,13,9,0,61,0,10,32.4,48.2,2018,8,7 +1170,3.871,4.452,202616,40,422.98,845.96,62.83,8.7,16,3,0,74,0,10,20.7,31.7,2018,8,8 +1171,3.617,4.151,263932,47,340,890,61,10.4,13,8.5,0,62,0,10,38.2,63,2018,8,9 +1172,3.046,4.136,343442,37,310,790,61.396,11.3,14,9.9,0,63,0,10,22.2,35.2,2018,8,12 +1173,4.157,4.079,351710,37,300,1000,63.248,10.8,15,6.9,0,71,0,10,22.2,35.2,2018,8,13 +1174,4.318,3.989,344121,45,330,950,63.312,13.5,16,11,0,51,0,10,40.4,53.5,2018,8,14 +1175,3.442,3.585,325419,40,360,1100,67.019,11.1,18,5,0,56,0,10,24.3,46.5,2018,8,15 +1176,3.521,4.765,299944,37,430,990,62.322,9.3,14,6,0,61,0,10,19.1,29.4,2018,8,16 +1177,3.602,3.946,272606,29,290,670,60.662,6.8,12,4,0,76,0,10,24.1,46.5,2018,8,19 +1178,3.582,3.837,251888,29,280,760,60.406,8.9,11,6,0,73,0,9.8,20.6,31.7,2018,8,20 +1179,4.401,3.962,252906,41,350,810,55,8.8,12,6,0,79,0,9.8,15,24.1,2018,8,21 +1180,3.025,3.972,349091,41,380,970,62.257,9.1,13,4,0,69,0,10,14.1,24.1,2018,8,22 +1181,3.041,3.952,343612,36,390,1100,66.862,9.7,16,2,0,64,0,10,13.1,20.6,2018,8,23 +1182,4.204,3.889,288798,47,290,850,62.414,8.7,14,3,0,77,0,9.8,13.7,33.5,2018,8,26 +1183,2.959,3.867,256927,41,340,940,60.897,6.2,12,0,0,71,0,10,14.6,31.7,2018,8,27 +1184,3.719,3.864,308827,50,410,1100,64.864,4.7,11,-2,0,68,0,10,10.2,18.3,2018,8,28 +1185,3.538,3.893,321713,48,350,1000,62.479,8.5,14,3,0,50,0,10,17.6,42.4,2018,8,29 +1186,3.03,3.968,322896,38,330,990,63.312,11.1,14,7,0,41,0,10,29.4,51.9,2018,8,30 +1187,3.023,3.837,283637,42,360,950,62.257,7.3,12,3,0,77,0,10,12.8,27.8,2018,9,2 +1188,3.046,3.968,279421,43,360,1200,66.797,7.3,13,2,0,73,0,10,13,22.2,2018,9,3 +1189,4.503,3.809,308352,40,370,1100,68,11.7,18,5,0,57,0,10,16.5,38.9,2018,9,4 +1190,3.001,3.177,306308,39,350,990,63.312,14.4,18.3,9,0,54,0,10,28.3,46.5,2018,9,5 +1191,3.018,4.566,312529,36,390,980,62.414,12.4,19,5.8,0,71,0,10,23.2,50,2018,9,6 +1192,3.032,3.837,282721,45,370,860,63.84,13.9,18,10,0,66,0,10,18.5,40.7,2018,9,9 +1193,3.034,3.433,266473,37,320,1100,67.005,13.7,18,10,0,71,0,10,16.5,55.4,2018,9,10 +1194,4.068,3.334,286478,39,350,990,63.84,17.1,23.1,7.9,0,43,0,10,30.2,55.4,2018,9,11 +1195,3.549,3.944,180103,36,300,890,62.895,11.5,18,6,0,50,0,0,17.8,27.8,2018,9,12 +1196,3.037,3.906,329608,28,320,880,63.312,13.3,19,8,0,50,0,0,23.3,40.7,2018,9,13 +1197,3.914,3.849,194980,36,360,740,61.033,8.7,14,3,0,60,0,13.7,19.1,29.4,2018,9,16 +1198,3.011,3.996,286556,32,340,970,63.312,13.6,16,12,0,40,0,0,33.3,42.4,2018,9,17 +1199,3.873,3.894,314730,37,380,1100,66.797,8.4,12,5,0,79,0,10,12.4,25.9,2018,9,18 +1200,3.38,3.943,299107,35,422.98,845.96,62.414,8.4,15,3,0,68,3.3,11.6,15.7,42.4,2018,9,19 +1201,3.514,3.916,289956,36,350,990,62,10.7,16.7,2.3,1022,61,0,15.8,12.8,18.3,2018,9,20 +1202,3.549,3.79,309039,39,380,980,62.479,8.6,12,4,0,65,0,10,20.4,33.5,2018,9,23 +1203,3,3.822,315225,48,340,920,63.091,9.7,11,9,0,77,0,10,18.9,22.2,2018,9,24 +1204,3.568,3.859,296995,35,360,980,62.257,7.8,14,3,0,71,0,10,15.2,27.8,2018,9,25 +1205,3.684,3.673,306442,41,360,910,63.312,12.9,19,7,0,45,0,0,18.3,55.4,2018,9,26 +1206,4.49,3.972,270158,39,422.98,845.96,62.942,8.3,15,3,0,71,0.51,10,20.4,35.2,2018,9,28 +1207,3.728,4.112,270662,44,300,790,60.671,9.6,16.4,3,0,66,0,10,12.4,25.9,2018,9,30 +1208,1.516,4.315,262951,35,300,830,62.849,15.5,23,3.1,0,41,0,0,12.6,25.9,2018,10,1 +1209,4.69,4.451,267439,44,410,1000,63,20.3,25.9,10.3,0,35,0,10,22.2,38.9,2018,10,2 +1210,6.069,8.48,202227,41,310,1100,66.958,12.7,17,10,0,63,0,10,20.9,29.4,2018,10,3 +1211,5.596,8.186,285451,40,260,900,62.257,10.9,15.2,5.8,0,70,0,10,17.2,29.4,2018,10,4 +1212,4.194,5.859,294926,36,360,900,63.155,17.6,25,11,0,49,0,0,10.6,25.9,2018,10,7 +1213,4.422,4.741,301067,35,340,845.96,63.155,19.7,27,14,0,47,0,10,8,24.1,2018,10,8 +1214,4.321,4.909,283531,44,370,960,63.248,12.2,16,9,0,81,0,10,23.3,38.9,2018,10,9 +1215,3.161,5.003,158404,46,340,920,63.052,9.9,16.1,3.6,0,63,0,10,25,42.4,2018,10,10 +1216,6.998,4.442,245403,38,330,870,62.895,12.5,19.5,6,0,63,0,0,13.9,27.8,2018,10,11 +1217,7.119,3.81,283352,43,320,780,70,21.4,27,10.2,0,43,0,10,29.6,46.5,2018,10,14 +1218,6.041,7.749,261013,49,340,1200,67.07,23.4,27,18,0,40,0,10,34.6,48.2,2018,10,15 +1219,5.093,9.105,323494,47,350,960,63.248,17.3,22.2,14.7,0,79,0,10,25,42.4,2018,10,16 +1220,5.044,5.83,222837,45,340,850,63.885,17,21,13.8,0,67,2.29,10,19.8,33.5,2018,10,17 +1221,3.88,5.686,303182,41,340,880,63.248,15.9,21.3,10,0,68,0.25,10,19.4,42.4,2018,10,18 +1222,4.044,5.362,333262,45,340,820,60.856,13.7,21,6.4,0,60,0,10,16.3,46.5,2018,10,21 +1223,3.031,4.915,322831,31,370,940,63.312,18.2,27,7.7,0,47,0,10,25,46.5,2018,10,22 +1224,3.881,4.774,293890,43,350,1100,67.019,11.4,21.1,5,0,67,0,10.8,18.7,33.5,2018,10,23 +1225,4.19,4.624,219686,42,310,1200,66.958,10.7,16.6,4.7,0,63,0,10,18.1,29.4,2018,10,24 +1226,4.443,4.311,341987,42,350,1000,62.479,12.7,22.3,4.8,0,59,0,10,14.3,33.5,2018,10,25 +1227,5.387,4.783,309304,50,330,810,61.6,12.1,17.2,8.3,0,54,0,10,18.9,27.8,2018,10,28 +1228,4.055,4.848,304860,37,330,930,62.322,12.6,21,6,0,62,0,0,13.5,22.2,2018,10,29 +1229,3.614,5.922,300185,40,350,1100,66,17.7,26.9,5.9,0,53,0,10,11.5,25.9,2018,10,30 +1230,5.008,5.065,278652,25,422.98,845.96,63.619,15.3,21,11,0,77,0,10,12.2,20.6,2018,10,31 +1231,4.125,4.136,234241,27,422.98,845.96,64.849,27.4,34,20,0,28,0,0,25.4,50,2018,11,1 +1232,3.053,4.955,270214,39,422.98,845.96,63.683,17.7,24,14,0,55,0,0,12.4,27.8,2018,11,4 +1233,4.118,4.384,240673,21,422.98,845.96,62.785,14.7,21,5,0,75,0,51.5,13,27.8,2018,11,6 +1234,3.973,4.272,330795,35,422.98,845.96,62.479,10.3,16,6,0,62,0,0,21.5,45.2,2018,11,7 +1235,3.798,4.744,300619,33,320,760,61.24,12,17.1,6.9,0,59,0,0,16.7,27.8,2018,11,8 +1236,3.85,4.489,275148,35,340,830,63.155,24.4,29,20,0,25,0,0,22,31.7,2018,11,12 +1237,4.109,4.388,316940,41,310,920,62.322,12.3,17.1,6,0,64,0,0,19.5,31.7,2018,11,15 +1238,3.077,4.219,279823,39,350,910,60.388,0,0,0,0,0,0,0,0,0,2018,11,18 +1239,6.624,4.734,282413,31,320,1100,64.928,0,0,0,0,0,0,0,0,0,2018,11,19 +1240,7.579,4.738,305587,34,310,1000,60.388,0,0,0,0,0,0,0,0,0,2018,11,20 +1241,6.239,10.888,315000,28,280,680,59.603,12.5,14,11,0,67,0,0,28.9,42.4,2018,11,22 +1242,4.389,6.805,303537,30,330,720,61.24,14.4,19,11,0,78,0,0,16.3,31.7,2018,11,25 +1243,3.385,5.644,291143,35,340,930,63,15.5,19,13,0,71,0,0,15,25.9,2018,11,26 +1244,3.431,5.341,296543,31,300,900,63.248,16.6,20.1,14,0,75,0,0,22,35.2,2018,11,27 +1245,4.827,4.518,335973,43,340,960,63.312,15.6,20.3,13,0,50,0,51.3,25,35.9,2018,11,28 +1246,3.963,5.076,349363,44,340,940,63.091,15.9,20,14,0,74,0,0,17.6,25.9,2018,11,29 +1247,5.489,4.907,291902,25,290,1200,67.019,14.7,19,11,0,52,0,10,24.4,38.9,2018,12,2 +1248,4.559,4.637,313630,46,320,820,61.69,16.4,23,12,0,64,0,10,25.6,40.7,2018,12,3 +1249,4.57,5.068,324791,45,330,920,63.091,16.1,20,12,0,68,0,10,15.6,24.1,2018,12,4 +1250,5.056,5.941,292929,38,330,870,63.312,19.1,28,12.6,0,63,0,0,15.7,42.4,2018,12,5 +1251,5.095,9.77,277937,27,360,870,64.321,29.4,35,25,0,29,0,0,30.4,51.9,2018,12,6 +1252,3.846,6.157,292278,56,330,920,63.136,16.8,21,14,0,79,0,10,11.9,27.8,2018,12,9 +1253,5.372,5.004,292526,47,390,930,69,16.3,21,11.5,0,68,0,10,15.9,29.4,2018,12,10 +1254,6.027,4.592,371224,40,350,1100,67.019,19.2,28,13,0,66,0,10,16.9,42.4,2018,12,11 +1255,6.028,6.037,326261,34,320,990,64.321,24.6,33,15.6,0,51,0,9.2,20.9,40.7,2018,12,12 +1256,6.037,6.426,306734,23,300,740,59.603,16.6,20,14,0,87,0,8.9,17.4,38.9,2018,12,13 +1257,3.539,6.058,327745,32,230,640,60.839,17.8,23,14,0,77,0,10,15,38.9,2018,12,16 +1258,3.003,5.995,305813,30,290,750,61.24,17.6,22,15,0,76,0,10,16.7,25.9,2018,12,17 +1259,3.021,5.159,259978,35,330,970,63.136,17.9,22,16,0,77,0,10,15,24.1,2018,12,18 +1260,3.024,4.703,332033,32,330,890,63.091,20.1,26,14.8,0,73,0,9.5,8.5,18.3,2018,12,19 +1261,3.028,4.441,325807,32,360,850,63.248,15.9,20.3,12.7,0,81,0,9.2,21.7,33.5,2018,12,20 +1262,3.027,4.433,243707,68,330,930,64.366,18.5,22,16,0,55,0,10,18.7,27.8,2019,1,6 +1263,3.023,4.599,274646,34,320,970,63.792,19.2,24,15.9,0,66,0,10,15,27.8,2019,1,7 +1264,3.03,4.496,263962,32,310,810,62.023,19,26,14,0,65,0,10,19.4,33.5,2019,1,8 +1265,5.063,4.447,253436,33,340,810,60,15.4,20,9,0,56,0,10,16.7,31.7,2019,1,9 +1266,5.485,4.487,254959,35,350,850,64.32,16.8,22,11,0,59,0,10,14.8,25.9,2019,1,10 +1267,5.345,4.463,252191,39,280,720,61.632,22.1,29,16.9,0,59,0,0,18.5,31.7,2019,1,13 +1268,7.635,17.36,248053,35,300,810,63.07,25.6,38,16,0,55,0,0,14.1,31.7,2019,1,14 +1269,6.765,11.692,275338,29,330,860,64.801,25.8,37,16.9,0,47,0,10,11.7,27.8,2019,1,15 +1270,7.308,6.829,313894,34,360,880,63.792,23.6,30,19.9,0,59,0,10,10.6,29.4,2019,1,16 +1271,7.036,5.639,282407,36,350,880,65.004,27.8,37,21,0,44,0,10,16.3,46.5,2019,1,17 +1272,5.47,5.351,240626,34,300,710,61.866,20.1,24,17.8,0,73,0,10,17.2,25.9,2019,1,20 +1273,7.561,5.075,276750,35,320,760,58,21.9,29,18,0,70,0,10,12.4,27.8,2019,1,21 +1274,6.881,5.357,302437,39,370,1000,63.792,22.7,30.2,16,0,66,0,10,15.7,24.1,2019,1,22 +1275,6.111,6.44,276811,37,370,870,63.728,20.6,26,16,0,68,0,10,16.7,29.4,2019,1,23 +1276,7.105,5.954,300545,41,422.98,845.96,63.949,26.2,0,17,0,48,0,10,23,48.2,2019,1,25 +1277,7.592,5.973,244382,49,260,680,63.393,23.2,35,15,0,47,0,10,16.9,38.9,2019,1,28 +1278,6.854,8.016,252484,45,310,870,65.004,23.8,38,15,0,47,0,10,17.8,40.7,2019,1,29 +1279,4.037,10.761,270466,36,320,880,64.958,25.4,39,16,0,47,0,10,25.9,53.5,2019,1,30 +1280,6.517,7.265,266159,41,320,870,64.477,16.3,21,11,0,48,0,10,26.9,40.7,2019,1,31 +1281,5.701,5.969,278044,44,330,800,62.993,24.9,41,17,0,50,0,10,21.1,33.5,2019,2,3 +1282,5.941,5.4,267477,39,280,800,65,18.7,22,17,0,70,0,10,24.6,31.7,2019,2,4 +1283,5.328,5.127,289915,36,360,940,63.728,20.1,26,16,0,76,0,89,12.6,20.6,2019,2,5 +1284,5.274,5.291,280760,31,360,920,64.958,25.4,35,20,0,60,0,9.7,16.9,57.6,2019,2,6 +1285,5.241,4.958,298288,36,350,840,63.728,22.4,30,16.8,0,72,0,9.7,15.6,24.1,2019,2,7 +1286,4.972,5.928,260472,44,300,780,61.533,17.7,24,12,0,61,0,10,12.6,25.9,2019,2,10 +1287,4.993,4.728,270153,41,350,930,63.995,22.3,28,15,0,47,0,10,21.7,37,2019,2,11 +1288,5.437,5.603,298785,32,370,880,63.949,12.9,19,9.9,0,54,0,97,25.6,42.4,2019,2,12 +1289,6.331,5.689,217367,36,310,1300,67.595,14.1,21,9,0,53,0,10,17.8,29.4,2019,2,13 +1290,4.996,5.652,312401,32,360,900,63.792,18.6,24,15.7,0,58,0,10,13.9,25.9,2019,2,14 +1291,4.892,5.615,290821,37,350,980,63.792,24.7,30,19.6,0,37,0,0,16.4,27.8,2019,2,17 +1292,4.077,5.59,274770,40,360,940,63.949,17.1,26,11,0,62,0,10,18.1,37,2019,2,18 +1293,4.525,5.25,270973,37,370,930,63.838,15,20.3,9,0,61,0,10,16.9,27.8,2019,2,19 +1294,4.528,4.638,280038,38,380,940,70,16.4,23,11,0,63,0,10,16.1,27.8,2019,2,20 +1295,4.35E-06,5.153,290940,42,530,1100,68.82,17.3,20.1,15,0,59,0,10,19.6,29.4,2019,2,21 +1296,4.35E-06,5.19,228087,41,370,830,65.531,25.7,33,19,0,26,0,0,22,51.9,2019,2,24 +1297,4.35E-06,4.435,216494,34,330,970,65.531,26.2,35,17,0,24,0,10,19.4,50,2019,2,25 +1298,4.35E-06,4.582,279558,37,290,900,64.256,17.7,24,12,0,70,0,10,14.3,27.8,2019,2,26 +1299,4.35E-06,4.419,291837,35,520,1100,68.82,23.8,31,18,0,43,0,0,16.7,53.5,2019,2,27 +1300,4.35E-06,5.291,286661,49,440,930,64.958,30.9,38,26,0,24,0,0,30,51.9,2019,2,28 +1301,5.133,4.781,283081,46,350,870,65.486,25.4,38,16,0,42,0,10,17.8,40.7,2019,3,3 +1302,5.951,4.42,300576,50,360,840,70,20.9,29,16,0,59,0,0,11.9,24.1,2019,3,4 +1303,5.956,5.531,275199,38,330,820,61.396,18.4,26,11,0,69,0,10,18,38.9,2019,3,5 +1304,5.976,7.13,203334,22,370,790,60.424,12.2,17,7,0,52,0,10,19.8,61.1,2019,3,6 +1305,5.974,6.117,231426,31,390,920,64.366,17.3,24,11,0,32,0,0,15,29.4,2019,3,7 +1306,1.146,6.176,218284,35,422.98,845.96,64.366,19.4,26.1,12,0,34,0,0,16.3,31.7,2019,3,8 +1307,4.35E-06,5.434,242929,49,350,1000,64.522,17.8,24,13,0,67,0,10,14.8,42.4,2019,3,11 +1308,4.35E-06,5.571,266625,25,390,980,63.995,13.2,19,8,0,55,0,10,19.1,38.9,2019,3,12 +1309,4.35E-06,5.264,351227,27,350,850,63.792,14.3,18,9.7,1017.5,59,0,11.3,14.4,25.9,2019,3,13 +1310,4.35E-06,4.968,326009,31,290,780,61.24,15.9,22,11,0,62,0,10,14.1,25.9,2019,3,14 +1311,4.35E-06,4.733,246169,32,280,640,61.309,20.6,28,16,0,68,0,9.8,13.3,24.1,2019,3,17 +1312,4.35E-06,4.802,239426,45,330,830,64.301,21.3,27,17,0,68,0,10,13.9,29.4,2019,3,18 +1313,4.35E-06,5.235,279716,38,340,960,63.728,19.6,23,18,0,85,0,7.6,14.4,27.8,2019,3,19 +1314,4.35E-06,4.59,230698,37,450,1100,72,20.5,25,18.5,0,82,0,9.7,14.4,22.2,2019,3,20 +1315,4.35E-06,5.181,274400,40,440,1100,67.434,20.6,25,18,0,78,0,10,13.1,20.6,2019,3,21 +1316,4.35E-06,6.693,241643,38,300,820,63.227,22.8,31,14,0,48,0,10,31.7,55.4,2019,3,24 +1317,4.35E-06,6.201,241172,37,310,950,64.477,13.7,19,10,0,41,0,10,28.9,55.4,2019,3,25 +1318,4.35E-06,7.31,274798,37,420,890,64.32,14.4,21,8,0,52,0,10,17.4,31.7,2019,3,26 +1319,4.35E-06,6.256,223711,35,420,910,64.366,16.3,23,11,0,50,0,0,15,29.4,2019,3,27 +1320,4.35E-06,5.556,232271,35,410,1000,64.477,22.1,28,17,0,23,0,0,24.3,48.2,2019,3,28 +1321,4.35E-06,5.299,263513,35,280,720,61.866,14.1,19,12,0,74,0,9.7,13.7,31.7,2019,3,31 +1322,4.656,5.951,289189,35,350,770,58,11.7,17,6,0,68,0,10,11.7,20.6,2019,4,1 +1323,5.902,5.313,303918,50,400,940,63.792,19.4,26,13,0,38,0,0,21.1,29.4,2019,4,2 +1324,6.182,5.297,267033,27,360,1000,64.477,17.1,26,12.9,0,61,0,10,19.4,35.2,2019,4,3 +1325,6.432,6.005,339369,37,350,770,61.396,17.7,23,13,0,61,0,0,14.1,50,2019,4,4 +1326,6.248,7.915,276679,45,260,680,62.512,18.7,26,10,0,41,0,10,20,38.9,2019,4,7 +1327,6.112,5.953,266240,37,350,1000,64.477,16.3,23,9,0,57,0,10,22.6,42.4,2019,4,8 +1328,4.054,5.066,232435,48,340,845.96,64.477,11.1,16,8,0,67,0,10,17.2,35.2,2019,4,9 +1329,3.686,5.477,207915,42,380,840,64.366,13.1,15,9,0,59,0,10,11.9,20.6,2019,4,10 +1330,5.51,4.483,319623,38,320,650,60.406,11.4,18,5.6,0,64,0,10,13.3,20.6,2019,4,11 +1331,5.115,5.066,271916,45,260,660,60,17.1,23,12,0,58,0,0,9.6,25.9,2019,4,14 +1332,5.24,4.69,282147,40,300,670,62.512,22.4,27,20,0,36,0,0,25,42.4,2019,4,15 +1333,4.463,5.367,295988,36,340,680,62.218,24.8,30,21,0,28,0,0,41.3,61.1,2019,4,16 +1334,5.542,5.069,290667,38,300,930,65.486,20.9,31,8.9,0,39,0,10,26.9,59.4,2019,4,17 +1335,4.613,4.701,233217,33,422.98,845.96,64.32,15.1,23,9,0,56,0,0,11.3,27.8,2019,4,19 +1336,4.332,5.14,172867,42,270,780,61.601,13,16.1,9,0,73,0,10,12.4,18.3,2019,4,22 +1337,6.161,4.348,248114,46,300,890,64.32,16.1,22,11,0,54,0,10,18,31.7,2019,4,25 +1338,7.528,5.253,223064,50,260,730,62.032,12.2,16.2,8,0,77,0,10,14.6,27.8,2019,4,28 +1339,6.984,5.988,224891,40,250,770,61.991,12.3,18,7,0,63,0,10,12.8,38.9,2019,4,29 +1340,3.572,6.175,264894,41,270,750,62.384,18.7,22,15,0,37,0,10,28.3,50,2019,4,30 +1341,4.35E-06,6.372,269271,43,320,880,61,18.9,22,15,0,72,0,51.8,30,38.9,2019,5,1 +1342,0.002,5.208,257362,49,330,780,62.16,15.4,20,10,0,76,0,0,20.6,31.7,2019,5,2 +1343,5.689,4.165,261684,48,220,780,62.16,11.8,16,8,0,81,0,0,14.1,24.1,2019,5,5 +1344,6.567,4.093,223546,48,280,840,63.422,11,16,6,0,76,0,0,14.3,25.9,2019,5,6 +1345,6.589,6.135,236331,34,310,950,64.477,13.4,19,9,0,62,0,0,25.9,48.2,2019,5,7 +1346,5.481,5.445,260337,46,360,920,64.477,12,16,8,0,67,0,0,22.6,42.4,2019,5,8 +1347,3.994,5.608,262600,40,290,990,64.477,12.2,16,8.8,0,65,0,51.8,25.2,55.4,2019,5,9 +1348,4.525,4.664,243279,43,330,830,64.256,13.9,17,11,0,69,0,0,15.7,22.2,2019,5,12 +1349,5.326,4.59,248342,39,250,750,62.317,12.9,17,9,0,65,0,0,22.8,33.5,2019,5,13 +1350,5.64,4.37,230971,44,340,930,66,14.3,19.1,10,0,69,0,0,10.4,25.9,2019,5,14 +1351,3.788,5.544,232223,50,310,880,63.422,11.4,16,6,0,71,0,0,8.9,20.6,2019,5,15 +1352,4.844,5.078,297914,38,330,910,61.025,0,0,0,0,0,0,0,0,0,2019,5,16 +1353,5.045,4.628,269476,40,270,700,61.521,0,0,0,0,0,0,0,0,0,2019,5,19 +1354,4.187,4.895,275305,41,330,800,62.317,13.6,17,10,0,79,0,0,28.7,53.5,2019,5,20 +1355,4.467,4.705,270048,34,280,880,64.256,14.4,20,10.8,0,70,0,0,20.7,27.8,2019,5,21 +1356,2.815,4.644,188232,35,300,720,61.668,15.3,22,11,0,61,0,0,19.1,29.4,2019,5,22 +1357,5.332,4.488,306155,32,310,740,61.69,16.6,21,14,0,49,0,0,41.9,53.5,2019,5,23 +1358,5.502,4.453,285131,26,190,610,48,10.3,14,6,0,66,0,51.8,27.2,46.5,2019,5,26 +1359,5.392,4.93,328307,24,200,560,53.295,9.1,13,7,0,70,0,0,30.7,51.9,2019,5,27 +1360,4.582,4.802,339074,24,260,620,57.086,10.9,15,7,0,67,0,0,28,42.4,2019,5,28 +1361,4.875,5.346,353157,28,280,680,58.769,6.6,10,5,0,76,0,0,28.5,46.5,2019,5,29 +1362,4.846,4.219,343734,19,170,640,59.797,10.6,12,8.8,0,50,0,51.7,22.8,35.2,2019,5,30 +1363,3.593,4.357,321106,29,230,800,61.591,9.5,14,7,0,51,0,9.5,17.5,42.4,2019,6,2 +1364,3.954,4.907,259208,33,180,720,61.19,8.1,10,6,0,59,0,9,18.1,35.2,2019,6,3 +1365,5.686,5.083,286142,38,260,750,61.033,9.1,12,6,0,77,0,10,15,25.9,2019,6,4 +1366,6.171,4.615,295447,35,300,980,63.619,10.5,12,9.6,0,72,0,10,18.9,25.9,2019,6,5 +1367,3.797,5.971,303571,39,320,920,63.155,11.8,14,10,0,52,0,10,10.7,25.9,2019,6,6 +1368,4.545,4.932,294265,39,422.98,845.96,62.942,10.1,17,5,0,74,0,10,13.9,35.2,2019,6,7 +1369,4.738,4.777,304417,39,320,790,61.69,12.6,15,8.9,0,67,0,10,23,37,2019,6,10 +1370,2.813,5.216,255359,44,260,870,63.84,14.3,17,12,0,67,0,9.7,35.6,59.4,2019,6,11 +1371,4.398,4.513,304526,43,230,780,61.885,12,16,7,0,55,0,9.8,23.2,42.4,2019,6,12 +1372,3.805,4.558,329105,43,300,810,65,12.1,16,5,0,75,0,9.8,19.1,29.4,2019,6,13 +1373,5.327,4.795,303728,45,330,770,61.632,10.4,15,7,0,79,0,10,17.6,24.1,2019,6,16 +1374,4.394,4.656,277748,47,270,760,61.789,11.6,17,8.8,0,74,0,10,23.3,35.2,2019,6,17 +1375,3.838,4.95,289854,44,270,870,62.942,7.2,12,4.7,0,82,0,10,18.9,40.7,2019,6,18 +1376,4.934,4.834,289607,46,360,1000,62.849,7.7,11,5.6,0,55,0,10,11.1,18.3,2019,6,19 +1377,5.068,4.716,305938,28,310,660,58.807,6.8,10,4,0,56,0,10,14.4,22.2,2019,6,20 +1378,5.882,5.51,293446,40,250,700,60.671,7.6,16,3,0,71,0,0,13.5,25.9,2019,6,24 +1379,4.638,4.811,307968,47,260,860,64,9.7,16,3,0,65,0,10,18.1,25.9,2019,6,25 +1380,5.373,4.929,316675,46,300,900,62.479,10.9,17,5,0,65,0,10,21.9,35.2,2019,6,26 +1381,4.072,5.194,318268,31,270,910,63.312,12.4,16,10,0,63,0,10,28,44.6,2019,6,27