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@fhoffa
Last active December 22, 2015 10:29
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Planes correlation
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{
"metadata": {
"name": "planes_correlation"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": "Predicting the future with Google BigQuery\n====\n\nWill your plane be late tomorrow? We'll use Pearson Correlation over a 70 million flights dataset.\n\n*Watch these queries live at [http://youtu.be/tqS4vZ2Rxlo](http://youtu.be/tqS4vZ2Rxlo)*"
},
{
"cell_type": "code",
"collapsed": false,
"input": "import pandas as pd\nimport numpy",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 49
},
{
"cell_type": "markdown",
"metadata": {},
"source": "First let's learn what is Pearson Correlation."
},
{
"cell_type": "code",
"collapsed": false,
"input": "# temperature vs ice_cream, fill the series\ntemperatures = pd.Series([21,30,16,18])\nicecreams_sold = pd.Series([70,90,35,40])",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 77
},
{
"cell_type": "code",
"collapsed": false,
"input": "temperatures.plot()\nicecreams_sold.plot()",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 78,
"text": "<matplotlib.axes.AxesSubplot at 0x43be250>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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phwM//KKO4jZIUjIhWi5NN+40Fe/mN+409b954w55myTdnAa5cyenQZL8VFfQ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\nIthd3lIMAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x3e0fa50>"
}
],
"prompt_number": 78
},
{
"cell_type": "code",
"collapsed": false,
"input": "# x,y plot\nplt.scatter(temperatures, icecreams_sold)\n",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 79,
"text": "<matplotlib.collections.PathCollection at 0x452e690>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": "<matplotlib.figure.Figure at 0x38e6490>"
}
],
"prompt_number": 79
},
{
"cell_type": "code",
"collapsed": false,
"input": "# calc correlation\ntemperatures.corr(icecreams_sold)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 80,
"text": "0.9479496280955706"
}
],
"prompt_number": 80
},
{
"cell_type": "code",
"collapsed": false,
"input": "# negative correlation? fill the series\ncoats_sold = pd.Series([25, 10, 47, 40])\nplt.scatter(temperatures, coats_sold)\n",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 82,
"text": "<matplotlib.collections.PathCollection at 0x4cf9510>"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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lS5Zo3rx5cjgckqR33nlHycnJysnJUU1NjaKjo1VcXKzQ0NDeA7O0AgB+G053DmmNfKzC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\nRU5ErkJggg==\n",
"text": "<matplotlib.figure.Figure at 0x4a52a50>"
}
],
"prompt_number": 82
},
{
"cell_type": "code",
"collapsed": false,
"input": "# calc corr\ncoats_sold.corr(temperatures)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 83,
"text": "-0.96746634288595723"
}
],
"prompt_number": 83
},
{
"cell_type": "code",
"collapsed": false,
"input": "#bigquery imports\nimport bq\nimport datetime\nimport pandas as pd\nclient = bq.Client.Get()",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {},
"source": "*We have a cool web UI too! You can run all the following queries at [https://bigquery.cloud.google.com/](https://bigquery.cloud.google.com/).*"
},
{
"cell_type": "code",
"collapsed": false,
"input": "# first 10 days of NY\nquery = \"\"\"\nSELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5\nORDER BY 1\nLIMIT 10\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:10]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r797746b2216394db_00000140f53399a7_1 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": "[[u'2002-01-01', u'NY', u'6.125506072874494', u'494'],\n [u'2002-01-02', u'NY', u'11.340782122905027', u'537'],\n [u'2002-01-03', u'NY', u'16.863636363636363', u'528'],\n [u'2002-01-04', u'NY', u'8.84981684981685', u'546'],\n [u'2002-01-05', u'NY', u'5.15483870967742', u'465'],\n [u'2002-01-06', u'NY', u'12.728880157170924', u'509'],\n [u'2002-01-07', u'NY', u'9.858757062146893', u'531'],\n [u'2002-01-08', u'NY', u'3.478181818181818', u'550'],\n [u'2002-01-09', u'NY', u'3.996389891696751', u'554'],\n [u'2002-01-10', u'NY', u'1.3776978417266188', u'556']]"
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": "# last 10 days of NY\nquery = \"\"\"\nSELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5\nORDER BY 1 DESC\nLIMIT 10\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:10]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r54972aee4745abad_00000140f534278a_2 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 4,
"text": "[[u'2012-12-31', u'NY', u'7.752791068580542', u'627'],\n [u'2012-12-30', u'NY', u'22.181286549707604', u'684'],\n [u'2012-12-29', u'NY', u'23.13673805601318', u'607'],\n [u'2012-12-28', u'NY', u'17.09874826147427', u'719'],\n [u'2012-12-27', u'NY', u'40.883156297420335', u'659'],\n [u'2012-12-26', u'NY', u'40.486486486486484', u'666'],\n [u'2012-12-25', u'NY', u'5.826860841423948', u'618'],\n [u'2012-12-24', u'NY', u'7.156704361873991', u'619'],\n [u'2012-12-23', u'NY', u'16.78826895565093', u'699'],\n [u'2012-12-22', u'NY', u'22.182527301092044', u'641']]"
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": "# plot NY by day\nquery = \"\"\"\nSELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5\nORDER BY 1\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\nfor x in data:\n x[2] = float(x[2])\nframe = pd.DataFrame(data)\nxx=frame.plot()\nxx.set_xticklabels([frame[0][min(int(x), len(frame[0])-1)][0:7] for x in xx.get_xticks()])\n\n",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r8588c34d5409c7d_00000140f53457fd_3 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": "[<matplotlib.text.Text at 0x387ed50>,\n <matplotlib.text.Text at 0x388f050>,\n <matplotlib.text.Text at 0x3866090>,\n <matplotlib.text.Text at 0x3866710>,\n <matplotlib.text.Text at 0x3866c50>,\n <matplotlib.text.Text at 0x39ce310>]"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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xtnmzkdYVVxjnVFbyfQcOuE9f5sYb+b3ihfL8hz9E7h83jv9/7DHG3nzTONcJ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\nnYAQETUI8RulThVNttfQYNyD8i9rEDk5vNzlb11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GVsX6h/fddx/OP/98x4nIwkCPgdBo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\nlPx/Sc8TWnc+0rMAAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x35f7d90>"
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": "# too much data, plot NY by month\nquery = \"\"\"\nSELECT left(date, 7) date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5\nORDER BY 1\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\nfor x in data:\n x[2] = float(x[2])\nframe = pd.DataFrame(data)\nxx=frame.plot()\nxx.set_xticklabels([frame[0][min(int(x), len(frame[0])-1)][0:7] for x in xx.get_xticks()])\n\"\"\n",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r258ba2c835b8073d_00000140f5347c23_4 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": "''"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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nE0fvXpFKYRChXAw+np4Cn+hLtIHnNdrMTPHPmHkKRl1hGXNeKYwbR/vhKkX9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\nfmRSkEgkEkk/MilIJBKJpJ//DwtNzT/9WWQUAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x3877150>"
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": "#comparing NY to NJ\nquery = \"\"\"\nSELECT a.date, a.departure_state, a.avg, b.departure_state, b.avg FROM\n(\nSELECT left(date, 7) date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5) a\nJOIN\n(\nSELECT left(date, 7) date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NJ'\nGROUP BY 1,2 HAVING c > 5) b\nON a.date=b.date\nORDER BY 1\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\nfor x in data:\n x[2] = float(x[2])\n x[4] = float(x[4])\ndata[0:30]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r6576de1edb3d4e37_00000140f584a723_17 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 34,
"text": "[[u'2002-01', u'NY', 4.224489795918367, u'NJ', 2.66523400191022],\n [u'2002-02', u'NY', 2.6769026254569623, u'NJ', 2.0702388637830857],\n [u'2002-03', u'NY', 5.243683589138135, u'NJ', 3.5450068712780576],\n [u'2002-04', u'NY', 4.026859869234847, u'NJ', 3.697752548656163],\n [u'2002-05', u'NY', 4.3853169432957575, u'NJ', 2.080332409972299],\n [u'2002-06', u'NY', 7.976488302061617, u'NJ', 6.910594439117929],\n [u'2002-07', u'NY', 7.509252120277564, u'NJ', 5.460073428178063],\n [u'2002-08', u'NY', 5.807095465262927, u'NJ', 3.749971869022167],\n [u'2002-09', u'NY', 1.3849529046978295, u'NJ', 0.6082779009608278],\n [u'2002-10', u'NY', 2.0596776854958474, u'NJ', 2.9180081065431382],\n [u'2002-11', u'NY', 3.709320788003528, u'NJ', 2.44229328003997],\n [u'2002-12', u'NY', 10.089354760753988, u'NJ', 8.9136109384711],\n [u'2003-01', u'NY', 5.021275671920455, u'NJ', 4.340754431655885],\n [u'2003-02', u'NY', 8.710468502528993, u'NJ', 5.20531164249314],\n [u'2003-03', u'NY', 4.462194599228461, u'NJ', 5.039822658538516],\n [u'2003-04', u'NY', 2.7360550999139064, u'NJ', 2.393997498957899],\n [u'2003-05', u'NY', 2.407901907356948, u'NJ', 4.340288924558587],\n [u'2003-06', u'NY', 4.321551843158912, u'NJ', 5.14180790960452],\n [u'2003-07', u'NY', 6.881477544512357, u'NJ', 6.968390579766841],\n [u'2003-08', u'NY', 12.440087743350698, u'NJ', 14.168986083499005],\n [u'2003-09', u'NY', 1.8673290749940856, u'NJ', 7.626663210644548],\n [u'2003-10', u'NY', 2.1025048854148163, u'NJ', 2.703413885692367],\n [u'2003-11', u'NY', 5.279374471682164, u'NJ', 5.883586525759577],\n [u'2003-12', u'NY', 10.662271710771524, u'NJ', 11.625710285761343],\n [u'2004-01', u'NY', 9.86022422617597, u'NJ', 7.841423684639192],\n [u'2004-02', u'NY', 4.871669700479894, u'NJ', 4.293862874887636],\n [u'2004-03', u'NY', 5.9521935188015895, u'NJ', 7.606765012665773],\n [u'2004-04', u'NY', 5.019260106788711, u'NJ', 7.0949304552709584],\n [u'2004-05', u'NY', 7.749483510597598, u'NJ', 10.789101203113942],\n [u'2004-06', u'NY', 8.488849516619805, u'NJ', 11.050073637702504]]"
}
],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": "#plot NJ vs NY\nframe = pd.DataFrame(data)\nxx=frame.plot()\nxx.set_xticklabels([frame[0][min(int(x), len(frame[0])-1)][0:7] for x in xx.get_xticks()])\n\n",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 36,
"text": "[<matplotlib.text.Text at 0x3876090>,\n <matplotlib.text.Text at 0x43c8490>,\n <matplotlib.text.Text at 0x4677c50>,\n <matplotlib.text.Text at 0x4657310>,\n <matplotlib.text.Text at 0x4657850>,\n <matplotlib.text.Text at 0x4657ed0>,\n <matplotlib.text.Text at 0x4658890>,\n <matplotlib.text.Text at 0x4658f50>]"
},
{
"metadata": {},
"output_type": "display_data",
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OjWYzqD0KgD2jSHOTRnOFfJRm0wh4AxjMDpq+zwpa9ZGF0TxSGNH2b5guCLIA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rdj+fLlMBgMeOCBB0TZJdb+XIyfVPaPxdwzVvY//PDDmDx5MgwGQ8Lxn//856itrUVdXR1WrlyJ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\n",
"text": "<matplotlib.figure.Figure at 0x38e6c10>"
}
],
"prompt_number": 36
},
{
"cell_type": "code",
"collapsed": false,
"input": "#scatter plot NY vs NJ\nplt.scatter(frame[2],frame[4])\nplt.xlabel('avg NY delay in minutes')\nplt.ylabel('avg NJ delay in minutes')\nframe[2].corr(frame[4])",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 40,
"text": "0.86342001714668237"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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UrMj0ieDAgQPMmjWLtWvX3vKPWU0oyz2jRn3K6NE/YLEMxNNzL7NmNWD//q2Z\nbnhutVp56qln2bbtCHq9H97eV/jnn9UUL1480zZfeaUf//yzg7lzi6LXG6hYsTwzZvyKyWTKeGuo\nXLly+aKbMDLyJCkpTbnxucbhaMqJE3NyrH69Xk+zZo346aeppKTUBZLRtJlUqlSOyMg6OBx1gZUM\nHvwmp08f5+pVCy+99CMtWz6VpdnLY8Z8iMFg4OefB+Pr68Pnn8+natW7T/JTlByX2SBCqVKlJCUl\nxalBi/uRhdAeCQ6HQwwGH4GT6YOPIiZTa5kxY0amZSMivhCj8WmBVAERvf5jadasfbbaP3/+vERH\nR4vD4XD2Elxu8uQpommPpw/Q2sTT82V54YXeOdrG1atXpUGDFuLlVUA8Pb2lS5fekpqaKitXrpSp\nU6fKtm3bcrQ9RXGWM/fOTJ8IwsLCuHTp0j37OBXXstlSgIIZ3zschUhKSsq03L59R0lKasmNBz+7\nvQ2HD/+crbb9/f2zdX5e6NfvZTZv3sVPPxXBzc2Txx57jMmTF+VoG97e3mzYsIL4+Hg8PDwoWDDt\n76NFixaZlFSU/C/TMYJLly5RoUIFWrRoQZs2bWjTpg1t27bNcgO9e/cmKCiIsLCwjGMjR44kJCQk\nY2LTihV3XvRMSXtDq337ThgMPYCdwHT0+mW0bNky07K1a4ehafMBCyB4eMykevWHb1tGNzc3fvhh\nCnFxpzl16iBbtqxxyZIZOp2OoKCgjCSgKA+LTCeUrVu37vZCOh1PPPFElhrYsGEDZrOZl156iX37\n9gHw4Ycf4u3tfc9lKtSEsn8lJSXx3/++w8qVawkMDGDSpE+ztG+03W6nS5fe/P77UvR6M8WLB7Bu\n3dKMWbEPguTkZObMmcOFCxdo0qQJtWrVyuuQFCVfy9G1hm5wZtXEmzVq1IioqKjbjqubfNYZjUam\nTBmf7XJ6vZ65c2cQHR1NUlISpUuXRq9/cNanSUlJoV69phw7ZsZqrYS7e2umT/+Kzp07Zam8zWZj\ny5YtGXsPmEymzAspyiMoz9YGmDBhAjNnzqRWrVpERETc8VF+5MiRGX8ODw+/76T0qCpWrFheh+CU\nuXPncuyYkcTEFaS9stmVAQOevWsicDgcLFiwgBMnTlCxYkU++iiCw4cTcHPzxts7gc2b1xASEpK7\nF6EoLrZu3bo79txkR66sNRQVFUWbNm0yuobi4+MJCAgA4P333yc2Npbvvvvu1sBU19Ajb/z48Qwb\ndoyUlK9/SvD/AAAgAElEQVTTj1zD3T2Q1NTbB8pFhA4dXmLlykhSUp5Ap5uBSCNstvmAG+7uI2nZ\nMpLff8/eYLmiPGicuXdmOljsCoGBgeh0OnQ6HX379lV7ICu3SUpKonLlyri5zQU2Apfw9BxCePhT\ndzx/+/btrFz5D4mJG7DZPic1tSk22zPc+Cdus7Xk8OHjt5UTEc6ePcv58+dddzGKks9lmgg2btxI\n8+bNKVu2LKGhoYSGht731P3Y2NiMPy9atOiWN4qUh09qaiojR46iQYOnefHFvpw5c+ae50+ePBU/\nv0DateuG0ehOwYJd8fIqQXj4eebOnX7HMhcvXsTdvSRgSD9SH/iWtDemHHh5fU/durcuvX316lUe\nf7w5pUtXJSSkLJ069cBut98zNovFwuHDh7l69epdz0lOTmb+/PnMmDGD06dP37M+RckXMptoUK5c\nOVm2bJmcO3dOzp8/n/GVVS+88IIEBweLh4eHhISEyHfffSfdu3eXsLAweeyxx6Rdu3Zy7ty528pl\nITTlAdGlS28xGpsJ/CZ6/XAJCgqVS5cu3fHcHTt2iKYFCxwTENHpJknp0o9l2sb58+fFxydI4BeB\nS6LTjRajMVC8vAqI0VhYatZsfFubPXsOEC+vngI2gUTRtCby+efjMn4eExMjn376qXz88Sdy6NAh\nWbNmjXh7B4jZXFoMBl+ZPXvObXFcv35dKleuI2bzE2IydRGzOUC2bNmSzd+YojjPmXtnpiXq1Knj\nVDD3SyWCh0NycrLo9Z4C1zJmRnt7t5K5c+fe8fxp06aJpvXMOBfsotPpszS7fevWrVKq1GPi5WWW\nGjUay4kTJyQ2NlZOnToldrv9tvMrVKgrsPGmtr6XZ5/tLiIiJ0+eFD+/YPHweEX0+jdE0/xF0/wE\nVqefu1eMxkJy+vTpW+r87LPPxWB4Pn2pbhGYLWFhjzvxm1MU5zhz78z0raEmTZowdOhQnnvuOby8\nvDKO16hRw2VPKcrDzW63sXz5ckSE55577paNbUqUKIFO9wVpi7mZgI34+gbg6emZab21a9fm+PE9\nWY6jbNlQjh1bhc3WAHBgMKyiYsWyAIweHcHVq71xOD4BwGKpjJvbMKBpeukwPD0fIzIy8pa3ss6c\nOUdyci3SluoGqMW5c/92hSpKfpRpIti8eTM6nY7t27ffclwtOqdkhZeXFy+88BKLFrXHYvkPev0/\nWCybmD27E3PnfsmECd8xePDLpKam0rRpU5o1a8bzzzdmwYLH0OsrYrNt4eeff3RJbBMn/o969Z7k\n+vXVOBzXKV3axDvvTAXg4sWrOBzVbjo7FBE7sAeoCsRgte4nNDT0ljqbNGnE1KlDsFheBILw8hpD\neHhjl8SvKDkm5x9MckY+Di1H2e12+eKLr6RBg6fl2We7SWRkZK60e/36dfnpp5/k22+/va17I6el\npqbKRx+NkUaNWote73NT98oF0ekKisHQSMzmZ8XPL1gOHjwoDodDNm/eLIsXL3Z5bNeuXZNVq1bJ\n+vXrxWq1Zhz/5Ze5omllBHYKHBZNqyedOnUTo7GQ+Po+IUZjgPzvf+PuWOfo0f8TT09N3Nw85Mkn\n28jly5ddeg2KcjNn7p13nUcwa9YsunfvTkRExB03r7/X8hA54VGZRzBs2AdMmLAci+U9dLrDeHt/\nwf7921w6CezKlSvUrNmIuLhgHI4A3Nz+YP36FS7v7ktNTcVg0HA4kkh7GP0AOAnMBHTodBNo1Ggl\n69cvcWkcWTVhwkQ++SQCm81G797d+fTTjzl79iyRkZGEhoZSunTpu5Z1OBzYbLYsdWkpSk7K0SUm\nbmxicu3atXyx5vzDatKkKVgsW0jreoCUlKMsWLCA119/3WVtjh//FdHR1bFafyCtL3s6/fsPZevW\nP13WJoCHhwc1ajRg9+73sNlGAnuBltzoTxepR0zMnV8PzQuDBr3KoEGv3nIsJCQkS7OT3dzcVBJQ\nHhh3TQSvvPIKcOsyD4or6ICbs7frn4Kio+OwWmvw74BmDc6di3Bpm8nJybz88mscOLAHkb3odBEY\njWbs9pOkpHQAvDEYPufJJxu6NA5FUW6XJzOLHwTR0dEcPnwYm83m0nYGDRqApnUEFuLmNgaDYSkd\nO3Z0aZtPPfUEmjYFiAYsGAyjaNbs39VkLRYLp06dIjU1NcfaHDz4bRYsiCUp6RB2+58YDMEsXPgz\nr776NO7uIej1voSH2xg/fkyOtakoShbl7DBFzsmr0Gw2m3Tu3FMMBn8xmUKlbNlqEhsb67L2HA6H\nfPXVRHniiTbSsWMPOXLkiMvautlHH40RT0+T6PWe0qZNZ0lMTBQRkenTZ4jB4COaVlQKFQqR7du3\n50h7wcHlBPbf9M7+WBk06A0RSRtMTkpKypF2FOVR58y9M9MSNpvNqWDuV14lgqlTp4qmNRBIFHCI\nu/vb0qpVhzyJxdUcDsctf7+RkZFiNAYIHEq/Wc+VgIDid5yM9f/r+eKLL6Vq1cbSoEFLWb9+vYiI\nREdHS9Om7aRw4bKiaUUEFmYkAg+P3vLhhx+79Pqc5XA4ZMyYz6Ro0QpSrFgl+frrSXkdkqJkmUsS\nQWhoqAwZMkQOHDjgVFDOyqtE8PLL/xEYd9Mn1/1SpEj5PIklt82bN098fNrfdO0iXl4FJS4u7p7l\nRo/+n2haVYFVAjNF0/xly5YtUrJkJXF3HyFwUNzceopOZxYPj9fEaOwoRYuWlYSEBKfijImJkQUL\nFsjatWszTVLO+PrryaJpYQI7BDaLppWR2bN/yvF2FMUVnLl3ZjqhbPfu3fz888/07dsXu91O7969\n6dKlCz4+Pq7ts8ojVaqUw2hcQlLSq4AHev1vlC9fLq/DyhUlS5bEZtsBXCRtj+Tt6PWOTLdmnDz5\nByyWGUDa7mEWy3G+/noyCQkObLYRgA6HYzom09/07i2kphaiSpXBXLhwIdvbPm7YsIGnn34eN7f6\nOBzHePzxcnTu3IbTp6OpU6c2Tz/9tDOXfosff1yMxTIKqJF+PSOZNWsRXbt2ue+6FSVfyk7WWLt2\nrRQpUkSMRqO89NJLcvTo0WxnnqzKZmg5xmq1SrNmbcVkKiU+PrWkSJEycvLkyTyJxdVmzfpRypSp\nISVKhMmYMZ+Jw+GQIUPeFU0rKr6+LUTT/GXRosWZ1hMaWlVgfcZThJvbUOnXb4AYjcEClvTjSaJp\nIVKnTmMxm2uKydRNNM1fli1blq2YQ0IqCPyeXmeyuLkFi5dXA9Hp3hWTqayMGPGJs7+ODC1aPCcw\nOeN6dLpPpXPnXvddr6LkBmfunZmWSE1NlcWLF0u7du2katWqEhERIbGxsTJv3jwpW7asU4FmKbA8\nHMe22+2ya9cu+fvvvzMGUR80Fy9elK+++krGjBkje/fuve3nv//+u2haMYE/BbaIyVRVvvjiKxER\n2bt3ryxZskROnTqVpbamT/9BNK2EwFTR6T4Sb+8AOXr0qDz7bFfRtMYCEaJp4VKjRkMxmeoLpKbf\nZNdJQECJbF2Xh4cmcCWjPJS5qb5Y8fDQ7vh3lpKSItHR0VlavG7btm1iMvmLTjdM3NyGiNkckOtd\no4riLJckgtDQUOnVq5f8/ffft/3sP//5T7YbzKq8TAQPugsXLkiRImXEYOgi7u5pK2euXr36lnM6\ndOgh8M1N4wGrpGrVxk63uXjxYnn++ZekV68BGctk2Gw2mTJlivTv/5pMmjRJIiIixMvr1ZvaTBS9\n3lOio6Nl6dKld0xYN0tKShJPzwCBEemre04TaHRTfY47jmmsWrVKzGZ/MRoLi9nsL3/88Uem13Pg\nwAEZPvw9ee+9D1z65KsoOc0lieDq1atOBXO/VCJw3kcffSIeHr1vukEulooVb11OvFevAaLTfXTT\nOT/K44+3dGlcW7duTd9r4KCAXfT6d6RcucdE0/zF17e5aFoReeONd+5afv369WIyhQlUF/ATMAgY\nBeYIxIq7+3Axm4PFaCwgwcFlZPHixXLp0iUxm/0F1mY8RZjN/nLx4kWXXqui5BVn7p2ZDha7u7vz\n9ddfc/DgQZKS0vaK1el0fP/99y4bt1Duz4ULl0hNLXvTkbJcvnz5lnPefnsw8+c34vr1RERMaNoE\nRo2a69K4ateuzYQJo3n11XpYrUmEhdXh8OHTJCWtAOoCF5kypTqdO7enTp06t5XX6/W4uemA7aQN\naHvi6VmckJCxxMcPwtPTzPXrDbBavyYpKZKuXTsxdeoXuLmFAOHptTyBm1sxjh07Ru3atV16vYry\noMh0ZnH37t2Ji4tjxYoVhIeHExMTg9lszo3YFCe1adMSTZtE2g3zDEbjW7Rt2+qWc8qXL8/Onf8w\nZIiOwYOvsn79MsLDw51q7+zZs7Rq1YGQkIo0a9b+ntsz9u7dE4vlMomJV1m9+lfsdiEtCQAURK+v\nzcmTJ+9Ytnbt2pQoYcTLqw/wJ0bjizz5ZFOOHdvFtWvnSUxMwGr9BggCniA1tQuHDx/Gaj0FnEqv\n5RRWaxRFixZ16loV5aGU2SND1apVRUQkLCxMRNLeqsmNXcuyEJpyD99/P10CAkqK2RwgPXr0l+Tk\nZJe0Y7VapVSpMHF3f1dgn+j1H0mxYuUlKSlJzp07J6tXr5ZDhw7dsazD4ZDAwBKStr2kCBwWozFQ\nDh48eNf2rly5Iq+//pY0b/68fPDBx7cM/vr7FxfYnDFeoGlPy7fffivjx38tRmOg+Pg8I0ZjoIwb\nNyHL13ft2jVZu3atbNq0Kc8mVypKdjhz78y0RO3atUVEpGHDhrJ3716Jj4+X0NDQ7EeX3cBUIngg\n7Nu3T8zmsvLv1owiPj5VZcKECWIy+aev3V9Yhg59747ld+zYIf7+xUTTQsTLy1umTfs+y22npKTI\n+fPnxeFwiIjInDk/i9EYJHr9UNG0NlKxYk1JTEyUdevWpQ+ee0v9+k2zvOd2VFSUBAeXFh+femI2\nV5R69ZqqpTCUfM8liWDq1KmSkJAg69atk5IlS4q/v79MnjzZqQCzFdgjnggSEhJk3rx5snjx4nz3\nCuuCBQukR4/+8vbb78rWrVvFaAy6ab5AsmhacTGZCqS/3pm2AY3JVEI2b958x/qsVqucPHlSrl+/\nnuUYpk79Try8zOLl5SclSlTMeLNn8+bNMmrUKJkyZYokJibKiRMnxGTyF/gt/fXSQVKvXtMstdGi\nxXOi13+cfg02MRjay+jRY7Mco6LkBZckgrzyKCeCEydOiL9/MfH2biXe3k9IqVJVnF6OIadFRIxP\n37lrgnh4DJDChUtJ69Yd0+cLjBNNayrNmrUVd3ftlqUqvL07y48//pgjMezcuVM0rbDA4fQJX+Ol\nXLnqIiJisVgkMjIyY1ew6dOni8nU9aZYbKLXe2bpk33aRLntN5WdJN26vZwj16AoruLMvfOubw1F\nRNy+Pv2NnW9yY4eyR9lrr73DxYv9cTiGA0Jycn9q1GhEoUJBtGvXnHfffQu9Xp8nsY0cORqLZT1Q\ngdRUuHq1E08/3YRnntGxc+cBwsLa07//K4SElCU+fh7QEYjCZltPlSrv5EgMaftntwLSlv4QGcTR\no2+yfv162rV7AbvdRGrqeSZMGEdAQEF0uhOAg7R3I06h13tkadOYWrWqERPzPamp1YEkNG0O9eq9\nkCPXoCj5yV0TgdqZLO9ERcXgcAxI/05HamoDTp3aw6lTw4iM/IS4uPNMnPhFjrWXmppKTEwM/v7+\neHt7Z3JuMmnrEKWx2wtitVoZPHjwLectXTqfp55qj9X6Dqmp5xk7dgxVq1Z1Kr5du3Zx8uRJwsLC\nKFu2LMWKFcPN7SsgCTACm/Dx8ad9+xe4cmUa0Bo4wuDBDdm2bS0VKxo4cKAVyck1MRh+YsyYT3Fz\ny3wrjsmTIzhypC1HjoTgcCTTpk07+vd/xalrUJR8LecfTG7Vq1cvCQwMlCpVqmQcS0hIkGbNmknZ\nsmWlefPmcunSpdvK5UJoue7YsWMyYcIE+fbbb+XKlSt3PW/QoCFiND4nkCxwWaCWwFfp3RNnxWDw\nybGYdu3aJQEBxcVkKiZeXt4yceKUe57/0kv9xGhsJbBNYKaYTP53nXmbnJwskZGRd/z7zaq33npf\nNC1EfHzaiNEYIDNmzBKHwyGdO/cUs7mc+Pi0F03zl1mzZonBEHBLd5SPTxtZuHChJCcny7Rp02Tk\nyA/lzz//zFb7drtdoqKiXLonhaLkJGfunZmWiIyMlCeffFIqVaokIiJ79uyRjz/O+jryf/31l+zc\nufOWRDB06FD59NNPRURk7Nix8vbbb98e2EOWCDZt2iQmk78YDC+LprWXYsXK37Xf32KxyDPPdBR3\nd4O4uXmKXl9JwJ5+g4sSTSuQIzE5HA4pXLiUwOz0uo+LphWWPXv23LVMSkqKvPbaUAkNrSa1aze9\n6wBwTti3b1/6wnUX0uM7IAaDjyQmJorD4ZANGzbIvHnz5OTJk5KSkiKaVkBgU/q550TTitzzWhTl\nYeSSRNCoUSPZvHmzVKtWTUTSbh43kkJWnTx58pZEUL58eTl37pyIiMTGxkr58rev9/+wJYIaNZ4Q\nmJXxadXDo6+8//6Ie5a5fv26nD59WgoVChG9frjAbNG0ajJ8+L3LZdWVK1duG9Q1m1+QmTNn5kj9\nzkrb6OYrqVixpri7N7wlPk0rKlFRUXcsl7aQnr/4+jYWozFQRowYlcuRK0rec+bemekSExaLhbp1\n62Z8r9Pp8PDwuK/uqLi4OIKCggAICgoiLi7ujueNHDky48/h4eFOz3zND86fvwBUyfg+NbUKZ88e\nvWcZk8mEyWRi165/GDFiDOfO/UrbtgN55ZW+ORKTt7c3RqPGtWsbgYbAZUS2ULr0oByp31nvvfcR\n48f/jsXSHxgK7ABqAgswGKBIkSJ3LNe6dWuOHdvLoUOHKFasGGXLlr3jeYryMFm3bh3r1q27v0oy\nyxQtW7aUo0ePZjwRzJs3T1q2zN7iZP//icDPz++WnxcocHtXRxZCe6C88spgMRrbClwUOCyaVkYW\nLVqU12HJihUr0id+NRVNKyKDB7+V1yGJr29hgaPpTwELBTRxdy8ghQqFyNatW/M6PEXJ15y5d2b6\nRPD111/Tr18/IiMjKVKkCKGhocyePfu+kk9QUBDnzp2jcOHCxMbGEhgYeF/1PQjGjx/L5csDWLQo\nBA8PIx9++B7t27fP67B46qmnOHp0L3v37qVIkSKEhYXldUiAjrTXPQGexcOjC++8U5QPPvggz16b\nVZSHmS49g2QqMTERh8OR6euFdxIVFUWbNm3Yt28fAG+99RaFChXi7bffZuzYsVy+fJmxY8feGlj6\nnIUHxZEjR5g9+ydAR7duXfOsW2Lp0qX8+usKAgMLMHjwIAICAvIkjvsxYsQnfP75fCyW93BzO4q3\n95fs27eNYsWK5XVoipLvOXPvvGsiuHlC2Z3mE2R1QlmXLl1Yv349Fy5cICgoiI8++oh27drRqVMn\nTp8+TcmSJZk7dy5+fn63BvYAJYK9e/fy+ONNSUrqCQiaNpN//vkz1z9dT578DUOGjMVieQ0Pj8P4\n+69m//6t2d4XOK+JCJMnT2X+/OX4+/vxySfDKVfu0dg3WlHuV44mgpEjR6LT6Th8+DDbtm2jbdu2\niAhLliyhTp06/PjjjzkS9F0Dy+NEsH79en7+eSFms8agQQMoXrz4Xc9t164rv/1WF0ibVKXTfUG7\ndjtZtCjrv6Pjx4+zYcMGChQowDPPPIO7e6a9drcpVKgYFy8uAdImbhmNXfjss4a8+uqrd23z9OnT\nVKhQgeDg4Gy3Z7PZAJyK1Vn79u0jImISKSlW+vbtStOmTXOtbUV5EDh178xsEKFhw4a37FJ29epV\nadiwYbYHI7IrC6G5zMKFC8VoLCzwP9Hr3xQ/v+B77t/bqFFrgQU3veY4T5o0aZfl9lavXi2a5i8m\n04tiNteV+vWbidVqzXbcmlZQ4MxNr6gOks8+++yO544e/ZkYjQHi69tINK2QLF78a5bbSU1NlR49\nXhG93lP0ek/p3XtgrizRvHfv3vQF5MYITBRNC5Zff8163IryKHDm3plpiXLlyt2yQFdSUpKUK1cu\n2w1lV14mgnLlagmsyLih6vWvy7Bh7971/ClTponJVFlgp8AO0bSK8u23WV9OOSSkvMDy9PbsYjI1\nkenTp2c77h49+ovR2DI9jp9F0/zvuLb/wYMH01cMvZE0toqmFcjyEssffjhaNK1J+qznS6JpT8jo\n0f/LdrzZ1afPQNHpRt2UcBdJjRpNXN6uojxInLl3ZvpM/9JLL1GnTh2ee+45RITFixfTo0cPZ55Y\ncl1iYiJjx37O4cNRNGxYk1dfHZClt04sFgvw7yCr3R5IYuKFu57fr18frly5yrhxndHp4M03B9K7\nd8+Mn1+7do3z588TEhJyx8XOEhLOATe2TXQjJaUmsbGxWbzKf02d+iVm83B++607BQsWZMKEhVSs\nWPG2844fP46nZ3WSkm68j18bMBIfH3/PLrAbVq7cgMXyX8AXAItlMCtXTuedd4ZmO+bsSElJReTm\n3fHMWK1Wl7apKI+ErGSL7du3y7hx42T8+PGyc+fObGcbZ2QxtLuyWq1Sterj4uX1gsA00bRG8uKL\nfbJUdvjwkaJp9QS2CvwumhYkGzdudCqOyZOnipeXt5hMxcXfv5js2rXrtnPCw1uLu/t/BWwCR0TT\nQuSvv/66Z73Xrl2T06dPO9Ulc+zYMTEa/QUi0z9ZrxRf36Bbdvu6lxde6CV6/Qc3PTENz5Xlmdet\nW5f+JDNPYIWYTBVk0qRvXN6uojxInLl35ttZW/ebCNauXSve3tVvWqPnmnh6emdpXX+bzSbvvfeR\nlCz5mFSqVE9+//13p2LYu3dv+rr5x9Jj+EmCgkIzdtS6IT4+XurUaSJubh7i5WWWSZPuvfDbF198\nJZ6eZtG0YClatKxERkZmO7Zvv50uBoOveHuXFR+fQFm/fn2Wy54+fVoCAoqL2dxOzOY2EhRUUmJi\nYrIdgzOWLVsmtWs3k6pVG8vkyVNv+10qyqPOmXtnlucR5Lb7fWto5cqVdOo0mqtX16cfsWMwBHHy\n5H4KFy6cM0FmYvbs2QwY8DvXrv2ccczDw0x8fMxtr8sCpKSk4Onpec/lvzdv3kzTph2wWP4GSqDT\nTaRMmW85cmRXtuO7fPkyZ8+epWTJkmialq2yFy9eZPny5eh0Olq1akWBAgWy3b6iKDnPmXtn5ouy\nP6Aef/xxjMZo9PpRwGa8vF6mWrVqGWsc5YZSpUpht28BLqcf+RsvLwM+Pj53PN/LyyvTPSB27dqF\nyNNACQBEXuHYsb3Y7fZsx+fn50elSpWynQQAChYsyIsvvkjXrl1dngRmz/6JsLCGVKnSgBkzZrq0\nLUV5FOXeC+C5zNvbmy1b1jJgwFCOHVtM/fo1mTBhYcaNNjY2lt9//x2dTsezzz6Lv79/jsdQv359\nXn65E9OmVcbDoxI2227mzp2VpU1R7qZkyZK4uU0EEgETsIZChUJuGQSPiYlh165dBAcHU6tWrfu+\njry0YMFC+vV7B4vlG8CNgQP74+HhQdeuXfI6NEV5eNytz8hkMonZbL7jV6FChaRu3bqyatUqp/ux\nMnOP0O7bkSNHxM8vWIzGbqJpncXfv5icPn3aZe3t3btXli9fLmfOnLnvuhwOh3Tr9rKYTCXFx6eF\nmEz+smbNmoyf/7uIXCvRtBLSq9fAB7ofvXnz5wR+vOmV0bnSqFHrvA5LUfItZ+6dTo0R2Gw2Dhw4\nQNeuXTlw4EDOZydcO7O4XbuuLFlSDYfjLQD0+vfo1i2BH36Y7JL2cpqIsGPHDuLi4ihdujSjRn3B\n9u17qVChDH/+uZJr1xYAjYHrmEy1+PXXiQ/sDNy0WdsNgBuzo7+lRYvlrFy5IC/DUpR8y5l7p1Nd\nQ+7u7lStWpVBg/J23Xpnxcaex+H4dx0guz2Ms2fn5WFE92a320lNTcVgMABpf9Hnz59n1KgJ7Nmz\nG6u1NTZbBMeOLcFmSwJudAeZgbqcOnUqr0K/b8OHD2b16tZYLNcAPZr2P95/f1Feh6UoD5W7dlab\nzWa8vb1v+zIajRn90f3798+1QHNSmzZN0bSxQDxwFk37nDZtnszrsO7o008jMBq9MZt9adSoJZcu\nXWLNmjU8/3wvNm16GotFh802FWiAzTYanS4EGJle+jgiq6hevfo923A4HOzdu5ctW7aQlJTk4ivK\nnrp16/LXXyvo0yeaXr1OsnbtUho2bJjXYSnKwyWrfUjXrl2TMWPGSMmSJeWNN97Idh9UdmUjtGyz\n2WzSv/9g8fQ0iZeXt7z55jv5sh996dKlommlBU4JpIqn5yvSps0L0qFDD4FJ6cf9BZLS+89tomnl\npFChomI0FhZPT3Omm9FbrVZp1qytmEwlxdu7qhQrVj7L4yXJycnyyiuDJSiojJQvX0tWrlyZE5et\nKMp9cObemWmJS5cuyYgRI6RkyZIyfPhwuXDhglPBZZcrE8ENDocj1xPAiRMnZOrUqTJ79mxJTEy8\n57nDhg0X+PCmgdKTUqBAiLzwQm+BLwQcAh0Fmgp8LwZDR6ldO1xSUlIkOjo60/pFRMaNGy9G41MC\n1vRZwiOlRYvnsnQtPXsOEKPxaYEDAr+JpgXI7t27s1RWURTXcObeedeuofPnzzNs2DCqV6+OXq9n\n9+7djBo1ikKFCuXWw4rL6XS6TN/bz0mbNm0iLKwOr7/+N6+88gPVqzfk2rVrdz2/aNFgjMZtwI2B\nn60EBQXz5psD0LTRwHggHHf37dSvP4ehQ6uwbt1SPD09CQkJydL8gL17D5OU9AyQtg+13d6egwcj\ns3Q9CxcuJClpClAJaENKSg+WLFmSpbKKouQfdx0sLlmyJP7+/vTu3RtN0/juu+8yRqJ1Ol2WN6ZR\n/tWv35skJk4AXgCEU6e6MHnyFN56ayjJyclcv36dQoUKZSSnPn368N13P3PsWEOgOPAn33//K7Vq\n1QfQ6OgAABxmSURBVGLdumVEREzGarUxcOB8mjVr5lRMNWpU5pdf5mOx9AUMuLv/RLVqWdtQx2g0\ncfXqWSBt5zB397OYzSFOxaEoSt6558Y0cOfdyQBGjBjhsqButHuX0B5YhQuXIS5uKVA+/chYBg++\nQGBgYPpGQJ6ULl2W1at/pUiRtJVBrVYry5cv5+rVqzzxxBNZWh00O+x2Ox07vsSKFX+i15sJDvbm\nr7+WZ2kZjpkzZzFgwDtYLAPx8DhOQMB69u178HZEU5SHSY7uUJbXHsZE0LVrXxYuTCIl5VsgFk1r\nwbBhPRg79gcslr+AIuj171G//k42bFiea3GJCFFRUSQlJVG2bFk8PDyyXHbNmjUsWbKCQoX86N//\nlYeq61BRHkQqEeRz169fp1OnXvzxx294eHjxyScfkZR0nREjEnE4xqSfdR5NK09i4sU71nH69OmM\n5SNq166dq2MciqLkf7k2oUy5MxHh0qVL6PV6fH19b/u52Wxm2bJ52Gw2zp49i5ubG6tXr8ZonE5i\noo20v46/CA6+c/fP0qVL6dSpJ+7udbHbD9KpUyu+++5rlQwURbkv6okghyQmJtKuXRc2bFiPiJ2O\nHTszc+bU23ZE+7/27j0uqmrtA/hvD7dxuGmChIAiyv0yqIQKoqCgcALES4i3zEtW59VM1LKLhXb0\n1XOyRM2j+DHRMjNPJVmmvqKokQgkevQgHrxgJKAoIDAjDM487x/KCHKXyyDzfP9i9t5rrWevz/7s\nh31Za8vlcoSETERq6u8ACD4+Q0FESEu7AZGoH1SqFBw5koBhw4bVKkdEMDXthbKyBAA+eDh9xGAc\nOLAFAQEBHbafjLHOrV2uCNatW1erYkEQYGpqisGDB8PT0/PpIu2Cliz5AMnJEigUdwBUYv/+MHz2\n2QYsWbKo1nbvvbcCqammqKjIA6DC6dORWLjQA8uXL0ZxcTGGDdsKS0vLOvXL5fJH0yxUJwgjCMIL\n+OOPP5odY3Z2Nnbu/BJEhGnTpsDFxaVZ5aqqqrBhwyakp1+Eu7sDFi9+CwYGBs1ulzHWyTU10GDK\nlClkb29P0dHRtGjRInJwcKCJEyeSl5cXrVmzpsUDF5qrGaF1Km5uvgQk1Rj8tYtCQ6fU2c7bO4iA\ngzW2+478/cOb1Ubfvi4ExD0qd5kkkufp/PnzzSp78eJFMjIyJ5FoKQnCMjI0NKO0tLQmy6lUKgoN\njSSJJIiArdStWxj5+QWTUqlsVrtP1sUYa19Pc+5sssTw4cOprKxM/busrIz8/PxIJpORk5NTixus\nqW/fvuTu7k6enp70wgsv1A7sGUsE48ZNJR2djx6dpFWkrz+bFi16p852M2e+Tvr6Cx6NClaRSDSL\nPD2HUW5ubpNtZGZmUu/eA0gsNicDAyOKi9ve7PgiI18hQfh7jQS0mYKDJzVZ7urVq4++E1zxqFwV\nGRratejb1deuXSM3t6EkEulQr162lJiY2OyyjLGWeZpzZ5O3hgoLC6Gvr6/+raenh1u3bkEikahn\nw3xagiAgKSmpS7x3vnHjGpw54w+Z7CQAOXr3VuDDD4/V2e6TTz7Gr7+Oxs2bnqiokEOlUuLcuTGw\nsXGEhYUFduz4HCEhIfW24ezsjNzcy7h16xZ69OjRov6/d68cRFY1lljh3r3yJstVVlZCJOoGoPoY\n0IFIZAyFQtGsdokIo0eH48aNl6FSncDt2ycQHj4Zly6dhY2NTbPjZ4y1nyYTwbRp0zBkyBBERESA\niHDgwAFMnToVMpms2feYG0PP0APhxohEIvz44zfIy8uDWCzGyJEj6z1Rm5mZ4eLFM7Czc0N+/nwA\nf8XDk6wubt0qx6RJLyMt7USDfSsSiep9htCU6dMjcOpUDOTy/gD0IJG8jxkz5jdZzt7eHn36mOHK\nlUWoqpoKXd0E9OxZBalU2qx2CwsLkZeXB5VqCQABQBB0dIYhPT2dEwFjnUSTiWD58uUIDg5GcnIy\nBEHA1q1b1Z8/3L17d6saFwQBgYGB0NHRwWuvvYZXX3211vrq0c0A4O/vD39//1a11x6ICK+9thBf\nfrkburo98Nxz+jh58pdG/1sXi8V4OM3TaDz+T9scgDFUqok4fvx4myTZmqZPn4aSkntYu3YWVCoV\n3nzzVbz++rwmy+nq6uLkyV/wxhuLkZHxOlxcHLFly/81+2rExMQERJUAbgCwBVABpfIyzM3NW7M7\njLFHkpKSkJSU1LpKmrp3NH/+fEpOTm7xPafmyMvLIyKi27dvk1QqpZMnT6rXNSO0TuGbb74hQ8OB\nBNx7NHvnKvLxGdNkubff/oAkEl8C0gjYT4A5ASlkaDiKvvrqqw6IvOOsX7+JJBJrEovfICOjgTR+\n/DR+cMxYO3mac2eT4wji4+Px7bffIisrCxMmTEBUVFS7fBB9xYoVMDIywuLFiwFodhxBeXk5du/e\njZKSEowZM6bRD7u8//4HWL1aD0D13Eu5MDX1RklJfqNtKJVKfPjh3xAXtwt375ZAEEZBLJZhwIAS\npKYeh4GBAf78808UFBQgJSUF5eXlGDt2bJMfmemsTp8+jfT0dPTp0wdhYWEQiRqc+JYx1gpPde5s\nbsa4c+cOxcXFUUBAAPXv37/FGedJMpmMSktLiYiovLycfHx8an3YpAWhtamysjKyt5eSRDKOdHUX\nkUTSixISEhrcPj4+ngwNfdQfhxGEz2nQoBEtajM5OZlWrVpFcXFxdP/+fVKpVPTaawvJwOA5EgQr\nEoSepKMzp8lYGGPsac6dzS6RkpJC0dHRZGdnR6GhoS1u6EnXrl0jqVRKUqmUXF1dafXq1bUD01Ai\n2LhxI3XrNqHGa5bHyMrKscHtlUolRURMJYmkD5mYeJOZWR+6dOlSq2LYt28fGRpKCSh5FMPfCQho\nMhbGGHuac2eTD4vffvtt/PDDD7Czs0NUVBSWL1+O7t27P80VSy39+vXDuXPnWl1PWysqKkZlpUON\nJQ4oLS1ucHuRSITvv/8KFy5cQGlpKaRSKYyNjVsVw8WLFyGThQGonq9oOoB/NBkLY4w9jSYTgZ2d\nHU6fPg0zM7OOiEfjgoICsXbtBMjl4wD0h4HBUowdG9xoGUEQ4OHh0WTdBQUFSExMhFgsRkhISINf\nEHNwcIChYSxksvcAdAOwH4AdDAyWNBiLSqXCp59uwI8/HsXzz5thzZoPYWdn12RMjDHWrEnniouL\nkZ2djYqKCvWyESNGtG9gGnxY/M03e/Hmm8tQXl6C4OAXsWvXFhgZGbWqzv/85z/w9Q2EUukLoAiW\nlkVISztR7yylKpUKUVGz8PPPx0BkhoqKKzAwEGHs2FBMnBiMyspKjBo1qtaJftGiZYiLS4Jcvgwi\n0X9garoZmZm/N+sDM4yxrqNdHhbHxcWRm5sbmZqakr+/P4nFYgoICGjxPaiWakZoz5Thw0NIED5X\nT0FhYDCTPvjgowa3V6lUdPHiRUpOTqbS0lKSyWTk7j6UjIxGkkTyMhkamtV63VYsNiHgT/WzjW7d\nptPmzZs7YM8YY53J05w7m3yHLzY2FqmpqbC1tcXx48eRkZFR73+xrHE3b+aBaMijXwIqK71x40bD\nr5gKggBXV1f4+PjA2NgY27dvx5UrvVBefhxy+U7IZHGYM+etjgmeMdalNZkIxGIxunXrBgCoqKiA\nk5MTLl++3O6BdTUBAcMhFv8DQCWA2zA0jENg4PBml8/Pv4X79wfh4TQNADAIhYUF6vWvv/4GJJKJ\nAPZDJPobxOJjGD9+fBvuAWOsq2oyEdjY2KC4uBgREREICgpCeHg4bG1tOyC0jvPbb79hy5YtWLhw\nERwdveHiMgy7d3/dpm1s2LAW/v5V0NExga5uX/z1r6GYMWN6s8v7+4+ARBIP4CoABfT1P8bIkSPV\n69etW42PP54CP7/tmDjxCtLTT/HzAcZYs7ToC2VJSUkoLS1FcHBwrRlJ20NHPSxevfofWLVqExSK\nPnjw4AaAXQAUkEjm4uuvN2LcuHFt2l5lZSV0dHSgq9vyr4TGxm7CsmXvoaqqAiNGjMX333/ZJq/y\nMsa6Dv54fQvduXMHVlZ2UCjmAdiOh0kg7NHaeLz44mH89NOeNm+3qKgI//M/S3H27AU4O9vjn//8\npNkzihIRlErlUyUSxljXxx+vb6E7d+5AELoBOAxgCICiGmvvwtDw8QybRIR79+7BxMSk2fPkZGZm\nIj09HdbW1ggICIAgCFAqlQgICEVW1kAoFLG4du0Ahg0LRFbW782a0VMQBE4CjLE2pdVnlH79+gFQ\nAngVgCeAiQDyAdyHoeFmvPfeUQAPR/oGB0/A7dv50NPTw5498QgPD2+07t27v8a8eYsgEgWC6CzG\njfPFV19tw7Vr13D16k0oFL8CEOHBg6EoKjqEjIyMOh+sZ4yxjqDVU0AaGBhg9uwoAMkA/AAcBJAI\nC4uvkJJyHFKpFEqlEkFB4bh5811UVZVBLj+MKVPm4MaNGw3Wq1QqMXfu65DLE1Fevhsy2VkkJJzC\nqVOnoK+vD6WyAkD1F75UUKlKoaOj0+77yxhj9dHqRAAAa9ashoPDf2FkFAgjo09gYnIBhw9/Dzc3\nNwDAlStXcPt2MYBZj0q8AF3docjIyGiwzrKyMiiVBMDt0ZJuEIk8kJeXhz59+iAw0B8SSTiANRCE\n3pDL/8SIEaOxY8fOdtxTxhirn9YnAhMTE2RkJGPHjjeweXMoLl06W+szjMuWrYRKVQkg69GSUigU\n52Btbd1gnaampujduw8EYRMAAvA7lMoTGDx4MARBwPfff4WYmGAYG28CsAhE91FZmYb585c1mmAY\nY6w9aPVbQ83x3HPWKC6OBvB3ACMBnMbAgdY4e/a3RstlZ2dj7NgJ+OOPbIjFEuzatR0TJjwe4FVV\nVQUDg26PPuP48LaQRDIHn302BPPmNf0JScYYqw+/NdQOevbsheLi/gCOAciAvn4BZs6c0GQ5e3t7\nXLt2ATKZDBKJBIIg1Fqvq6sLExMz3Lt3BoAPgEqIRL/DyqrpuhljrC3xFUETkpKS8OKLL4FoHESi\nG+jTpwRpaUkwNDRsdd0//fQTJk+eBR2dUSC6iMBAT3z33Zf8GUfG2FPjAWXtJDs7G4mJiTAxMcH4\n8ePVcy+1hStXriA1NRUWFhYYNWpUnSsHxhhrCU4EjDGm5Z7m3Mn3IBhjTMtxImCMMS3XpRPB/fv3\n8e67H2LMmElYuvR9yGQyTYfEGGOdTpd9RqBSqTBiRAh+/90EFRWTIBbvh7t7AU6fPsrTOTDGuix+\nWFxDVlYWvLzGQia7iofDJZQwNHREcvJ3tUYOM8ZYV/JMPSw+dOgQnJycYG9vj7Vr17Z5/UqlEg9H\n7FbvogiCoAuVStXmbTHG2LNMI1cESqUSjo6OOHr0KKysrPDCCy9gz549cHZ2fhxYK68IlEolBg8e\ngawsZ1RWToa+/vcYMOB3nD//G8/nzxjrsp6ZK4LU1FQMGDAAtra20NPTQ1RUFBISEtq0DR0dHZw4\ncRAzZnTDoEH/i6lTBfz662FOAowx9gSNnBVv3rwJGxsb9W9ra2ucOXOmznYxMTHqv/39/eHv79+i\ndkxNTbFt28anDZMxxjq9pKQkJCUltaoOjSSC5k6jUDMRMMYYq+vJf5JXrFjR4jo0cmvIysoKubm5\n6t+5ubmNzu/PGGOs/WgkEXh5eSE7Oxs5OTlQKBTYu3dvk98AZowx1j40cmtIV1cXmzZtwtixY6FU\nKjFnzpxabwwxxhjrOF12QBljjGmjZ+b1UcYYY50HJwLGGNNynAgYY0zLcSJgjDEtx4mAMca0HCcC\nxhjTcpwIGGNMy3EiYIwxLceJgDHGtBwnAsYY03KcCBhjTMtxImCMMS3HiYAxxrQcJwLGGNNynAgY\nY0zLcSJgjDEtx4mAMca0HCcCxhjTcpwIGGNMy3EiYIwxLceJgDHGtBwnAsYY03KcCJ4BSUlJmg6h\n0+C+eIz74jHui9bRSCKIiYmBtbU1Bg4ciIEDB+LQoUOaCOOZwQf5Y9wXj3FfPMZ90Tq6mmhUEARE\nR0cjOjpaE80zxhirQWO3hohIU00zxhirQSANnJFXrFiBHTt2wNTUFF5eXli3bh26d+9eOzBB6Oiw\nGGOsS2jpab3dEkFQUBAKCgrqLF+1ahWGDh0Kc3NzAMDy5cuRn5+P7du3t0cYjDHGmqCRK4KacnJy\nEBYWhgsXLmgyDMYY01oaeUaQn5+v/vuHH36Au7u7JsJgjDEGDV0RvPzyyzh37hwEQUC/fv2wdetW\nWFhYdHQYjDHGoKErgl27duHf//43zp8/j/3799dJAocOHYKTkxPs7e2xdu1aTYTYadja2sLDwwMD\nBw6Et7e3psPpULNnz4aFhUWtK8aioiIEBQXBwcEBY8aMQUlJiQYj7Dj19YW2jsfJzc1FQEAAXF1d\n4ebmhg0bNgDQzmOjob5o8bFBncyDBw+of//+dP36dVIoFCSVSikzM1PTYWmMra0t3b17V9NhaMTJ\nkyfp7Nmz5Obmpl62dOlSWrt2LRERrVmzht555x1Nhdeh6uuLmJgYWrdunQaj0oz8/HzKyMggIqKy\nsjJycHCgzMxMrTw2GuqLlh4bnW6KidTUVAwYMAC2trbQ09NDVFQUEhISNB2WRpGWjrnw8/NDjx49\nai378ccfMXPmTADAzJkzsX//fk2E1uHq6wtAO4+N559/Hp6engAAIyMjODs74+bNm1p5bDTUF0DL\njo1Olwhu3rwJGxsb9W9ra2v1jmkjQRAQGBgILy8vbNu2TdPhaNytW7fUtxItLCxw69YtDUekWRs3\nboRUKsWcOXO04lbIk3JycpCRkYEhQ4Zo/bFR3RdDhw4F0LJjo9MlAh5IVltycjIyMjLwyy+/4PPP\nP8epU6c0HVKnIQiCVh8vb7zxBq5fv45z587B0tISixcv1nRIHaq8vBwTJ05EbGwsjI2Na63TtmOj\nvLwckyZNQmxsLIyMjFp8bHS6RGBlZYXc3Fz179zcXFhbW2swIs2ytLQEAJibm2P8+PFITU3VcESa\nZWFhoR6omJ+fj169emk4Is3p1auX+oQ3d+5crTo2qqqqMHHiRMyYMQMREREAtPfYqO6L6dOnq/ui\npcdGp0sEXl5eyM7ORk5ODhQKBfbu3Yvw8HBNh6URcrkcZWVlAACZTIYjR45o/ZiL8PBw7Ny5EwCw\nc+dO9YGvjbR1PA4RYc6cOXBxccFbb72lXq6Nx0ZDfdHiY6MdHmS32sGDB8nBwYH69+9Pq1ev1nQ4\nGnPt2jWSSqUklUrJ1dVV6/oiKiqKLC0tSU9Pj6ytremLL76gu3fv0ujRo8ne3p6CgoKouLhY02F2\niCf7Yvv27TRjxgxyd3cnDw8PGjduHBUUFGg6zA5x6tQpEgSBpFIpeXp6kqenJ/3yyy9aeWzU1xcH\nDx5s8bGh8SkmGGOMaVanuzXEGGOsY3EiYIwxLceJgDHGtBwnAsYY03KcCFinFRMTA0NDQxQWFqqX\nVQ8c8vPzqzWR1r59+xASEtJoffHx8ViwYEGrt2mOAwcOtMuEia2td/369bh//34bRsS6Ak4ErFMz\nMzPDunXr6izfsmULoqOjUVlZifLycrz//vvYvHlzq9trq9GoYWFheOedd9qkrrasNzY2FnK5vA0j\nYl0BJwLWJsaPHw8vLy+4ubmp50TasmUL3n77bfU2Nf/b/vjjj+Hk5AQ/Pz9MnTq13pO9IAiYPXs2\n9u7dW2euFFdXV4SFhWHt2rVYuXIlZs6ciX79+tWpY8eOHXB0dMSQIUPw22+/qZcXFhZi0qRJ8Pb2\nhre3d6111Q4cOIChQ4di0KBBCAoKwu3bt6FSqeDg4IA7d+4AAFQqFezt7XH37t1aZWvu6yuvvIKF\nCxfC19cX/fv3x3fffVenrZycHDg5OWHWrFlwdHTEtGnTcOTIEfj6+sLBwQFpaWnNrjcpKQlhYWHq\nuufPn4+dO3di48aNyMvLQ0BAAEaPHg0AOHLkCHx8fDB48GBERkZCJpMBAJYtWwZXV1dIpVIsXbq0\nTrysi+mQUQ+syysqKiIiIrlcTm5ublRUVESFhYU0YMAA9TYhISGUnJxMqamp5OnpSZWVlVRWVkb2\n9vb1TpkbExNDn3zyCa1cuZI++ugjIiIyMjJSr5fJZOTg4EAeHh6kUCjqlM/Ly6M+ffrQnTt3SKFQ\nkK+vLy1YsICIiKZMmUK//vorERHduHGDnJ2diYhox44dNH/+fCKiWgOStm3bRosXLyYiohUrVtD6\n9euJiOjw4cM0adKkOm3Hx8er65k5cyZFRkYSEVFmZmatPql2/fp10tXVpYsXL5JKpaLBgwfT7Nmz\niYgoISGBIiIi6sTXUL3Hjx+n0NBQdd3z58+nnTt3ElHtac0LCwtpxIgRJJfLiejh1M0rV66ku3fv\nkqOjo7r8vXv36sTLuhZdTSci1jXExsaqp/3Nzc1FdnY2vL29YWdnhzNnzmDAgAHIysqCj48P1q9f\nj4iICOjr60NfXx9hYWENTpkrCALefPNNeHp6YsmSJbXWSSQSREVFwdjYGHp6enXKnjlzBgEBAejZ\nsycAYPLkyfjvf/8LADh69CguXbqk3rasrEz933C13NxcREZGoqCgAAqFQn3FMXv2bIwbNw4LFy7E\nF198gVmzZjXaN4IgqKc7cHZ2bnBWzH79+sHV1RXAwyuewMBAAICbmxtycnKeut6GpKSkIDMzEz4+\nPgAAhUIBHx8fmJqaQiwWY86cOQgNDUVoaGiL6mXPHk4ErNWSkpKQmJiIlJQUiMViBAQEoKKiAgAQ\nFRWFb7/9Fk5OTpgwYQKAhyewmif+hpJA9TpTU1NMnToVmzZtqrNeJBI1eF+/vnaqtyUinDlzBvr6\n+nXKVFuwYAGWLFmC0NBQnDhxAjExMQAeTo1uYWGBY8eOIS0tDXv27GmsewCgVjsN7a+BgUGt/aou\nIxKJ8ODBg2bXq6urC5VKpV7e2MPhoKAgfP3113WWp6amIjExEf/617+wadMmJCYmNlgHe/bxMwLW\naqWlpejRowfEYjGysrKQkpKiXjd+/Hjs378fe/bsQVRUFADA19cXBw4cUD/o/fnnn5t8SBsdHY2t\nW7c2eEKsj7e3N06cOIGioiJUVVVh37596nVjxoxRf9YPAM6dOweg9km6tLQUvXv3BvDw3nxNc+fO\nxfTp0xEZGVlv7I0lt/bWt29fZGZmQqFQoKSkBMeOHVOvMzY2RmlpKQBgyJAhSE5OxtWrVwE8nNgw\nOzsbMpkMJSUlCAkJwaefforz589rZD9Yx+FEwFotODgYDx48gIuLC959910MGzZMva579+5wcXHB\nH3/8AS8vLwAPZ5gNDw+Hh4cH/vKXv8Dd3R2mpqb11l19ku3ZsycmTJgAhULR4DZPsrS0RExMDIYN\nG4bhw4erb7sAwIYNG5Ceng6pVApXV1fExcWp66quLyYmBi+99BK8vLxgbm5eq52wsDDIZLIGbws9\nOR9+Q383th/1lWlOvTY2NoiMjISbmxsmT56MQYMGqbeZN28egoODMXr0aJibmyM+Ph5TpkyBVCqF\nj48PLl++jLKyMoSFhUEqlcLPzw+fffZZvfGyroMnnWMaIZPJYGhoCLlcjpEjR2Lbtm3qT+49C9LT\n07F48WKcOHFC06Ew1mr8jIBpxLx585CZmYmKigq88sorz1QSWLNmDbZs2VLvvXXGnkV8RcAYY1qO\nnxEwxpiW40TAGGNajhMBY4xpOU4EjDGm5TgRMMaYluNEwBhjWu7/AQSz4sQs3XVLAAAAAElFTkSu\nQmCC\n",
"text": "<matplotlib.figure.Figure at 0x39e3dd0>"
}
],
"prompt_number": 40
},
{
"cell_type": "code",
"collapsed": false,
"input": "# repeat NJ vs HI\nquery = \"\"\"\nSELECT a.date, a.departure_state, b.departure_state, a.avg, b.avg corr\nFROM\n(SELECT LEFT(date, 7) date, departure_state , AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5 ) a\nJOIN\n(SELECT LEFT(date, 7) date, departure_state, AVG(departure_delay) avg, COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights]\nWHERE departure_state = 'HI'\nGROUP BY 1,2 HAVING c > 5 ) b\nON a.date=b.date\nORDER BY a.date;\n\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\nfor x in data:\n x[3] = float(x[3])\n x[4] = float(x[4])\n \n",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r44518860fd483d1_00000140f5859af8_18 ... (0s) Current status: RUNNING"
},
{
"output_type": "stream",
"stream": "stdout",
"text": " \rWaiting on bqjob_r44518860fd483d1_00000140f5859af8_18 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": "#NY vs HI\nframe = pd.DataFrame(data)\nxx=frame.plot()\nxx.set_xticklabels([frame[0][min(int(x), len(frame[0])-1)][0:7] for x in xx.get_xticks()])\nframe[3].corr(frame[4])\n\n",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 42,
"text": "0.13278480069610055"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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C0hEgTgq6p3AegUsKgfQUWKTA7yjFwJU6lEYKrP1COfVyEhJ3VKqV0Qx4RkbH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\nFIb/B+g4UohN6V8IAAAAAElFTkSuQmCC\n",
"text": "<matplotlib.figure.Figure at 0x43710d0>"
}
],
"prompt_number": 42
},
{
"cell_type": "code",
"collapsed": false,
"input": "plt.scatter(frame[3],frame[4])\nplt.xlabel('avg NY delay in minutes')\nplt.ylabel('avg Hawaii delay in minutes')\nprint \"Correlation: %s\" % frame[3].corr(frame[4])",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "Correlation: 0.132784800696\n"
},
{
"metadata": {},
"output_type": "display_data",
"png": 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5cra22Vo2QrOJ6dNnUZJCCPxAF5cJzJevMO/cuWP3egcOHEq5fEy6KXK/Zb16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\n",
"text": "<matplotlib.figure.Figure at 0x46496d0>"
}
],
"prompt_number": 45
},
{
"cell_type": "code",
"collapsed": false,
"input": "# The best correlations\nquery = \"\"\"SELECT a.departure_state, b.departure_state, corr(a.avg, b.avg) corr, COUNT(*) c\nFROM\n(SELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2 HAVING c > 5 \n) a\nJOIN\n(SELECT date, departure_state , \nAVG(departure_delay) avg, COUNT(*) c FROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2 HAVING c > 5 ) b\nON a.date=b.date\nWHERE a.departure_state < b.departure_state\nGROUP EACH BY 1, 2\nHAVING c > 5\nORDER BY corr DESC;\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:30]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r4c1bdc992d6e95dc_00000140f5362253_7 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": "[[u'NJ', u'NY', u'0.8338301570594732', u'3984'],\n [u'NC', u'VA', u'0.8245167702974038', u'3987'],\n [u'IL', u'WI', u'0.815321475058135', u'3987'],\n [u'IN', u'OH', u'0.8000256762959715', u'3987'],\n [u'KY', u'OH', u'0.7996098888549095', u'3987'],\n [u'MD', u'VA', u'0.7994796773926516', u'3982'],\n [u'FL', u'NC', u'0.7894417732293801', u'3987'],\n [u'IN', u'KY', u'0.7884110703532603', u'3987'],\n [u'PA', u'VA', u'0.7873618693153164', u'3987'],\n [u'IA', u'IL', u'0.7870630148407264', u'3987'],\n [u'NY', u'VA', u'0.7829532870030526', u'3987'],\n [u'IL', u'NE', u'0.7804910533256546', u'3987'],\n [u'NY', u'PA', u'0.7723228041983351', u'3987'],\n [u'IN', u'TN', u'0.7720173161040389', u'3987'],\n [u'MO', u'TN', u'0.7712146971483247', u'3987'],\n [u'AL', u'TN', u'0.7699968918541833', u'3987'],\n [u'AL', u'GA', u'0.769926850668077', u'3987'],\n [u'NH', u'RI', u'0.7685121873582897', u'3982'],\n [u'LA', u'TX', u'0.7659147383876882', u'3987'],\n [u'NC', u'PA', u'0.7658885387555227', u'3987'],\n [u'AZ', u'NV', u'0.7649309739242285', u'3987'],\n [u'PA', u'RI', u'0.762151254768136', u'3983'],\n [u'IL', u'IN', u'0.7602999454899928', u'3987'],\n [u'NC', u'SC', u'0.7599302716906835', u'3987'],\n [u'IN', u'MI', u'0.7597632943720553', u'3987'],\n [u'NY', u'RI', u'0.7580197224289437', u'3983'],\n [u'AL', u'MS', u'0.7561347292591919', u'3986'],\n [u'MA', u'NY', u'0.7556376488071689', u'3985'],\n [u'IN', u'WI', u'0.754066361397049', u'3987'],\n [u'AL', u'SC', u'0.7534529056655519', u'3987']]"
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": "# The best predictors\nquery = \"\"\"SELECT a.departure_state, b.departure_state, corr(a.avg, b.avg) corr, COUNT(*) c\nFROM\n(SELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2 HAVING c > 5 \n) a\nJOIN\n(SELECT DATE(DATE_ADD(timestamp(date), 1, 'DAY')) date, departure_state , \nAVG(departure_delay) avg, COUNT(*) c FROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2 HAVING c > 5 ) b\nON a.date=b.date\nGROUP EACH BY 1, 2\nHAVING c > 5\nORDER BY corr DESC;\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:30]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r32e6eb6e4c9874e9_00000140f53720fe_8 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": "[[u'WA', u'WA', u'0.6297898169456775', u'3985'],\n [u'OR', u'OR', u'0.5680633908435759', u'3985'],\n [u'UT', u'UT', u'0.5518993347477938', u'3985'],\n [u'AZ', u'AZ', u'0.5475550858757765', u'3985'],\n [u'CA', u'CA', u'0.5443100833617516', u'3985'],\n [u'OR', u'WA', u'0.5302798605673441', u'3985'],\n [u'CO', u'CO', u'0.5297917560132875', u'3985'],\n [u'NC', u'TN', u'0.5172774514631352', u'3985'],\n [u'NC', u'NC', u'0.5108313637543679', u'3985'],\n [u'AK', u'AK', u'0.5056712860460064', u'3985'],\n [u'VA', u'VA', u'0.5047323118512793', u'3985'],\n [u'FL', u'TN', u'0.5034450221256067', u'3985'],\n [u'FL', u'FL', u'0.502826355644986', u'3985'],\n [u'TN', u'TN', u'0.5017351620271352', u'3985'],\n [u'KY', u'KY', u'0.49957910159123026', u'3985'],\n [u'SC', u'TN', u'0.49543973189673185', u'3985'],\n [u'VA', u'TN', u'0.492398752072957', u'3985'],\n [u'MO', u'MO', u'0.4860324717460569', u'3985'],\n [u'IN', u'MO', u'0.484540858740931', u'3985'],\n [u'OK', u'OK', u'0.48317636525504104', u'3983'],\n [u'OH', u'MO', u'0.4826492949616015', u'3985'],\n [u'TN', u'MO', u'0.48025616219000855', u'3985'],\n [u'AZ', u'NV', u'0.4778793553143607', u'3985'],\n [u'OH', u'TN', u'0.47689189919879454', u'3985'],\n [u'ID', u'ID', u'0.4750537414307511', u'3985'],\n [u'KY', u'TN', u'0.4718897090994191', u'3985'],\n [u'VA', u'MO', u'0.47175614392232296', u'3985'],\n [u'AR', u'AR', u'0.4708215665034345', u'3985'],\n [u'KY', u'MO', u'0.46981922926980774', u'3985'],\n [u'LA', u'TX', u'0.4683406852498902', u'3985']]"
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "# The best NY predictors\nquery = \"\"\"SELECT a.departure_state, b.departure_state, corr(a.avg, b.avg) corr, COUNT(*) c\nFROM\n(SELECT date, departure_state, AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2 HAVING c > 5 \n) a\nJOIN\n(SELECT DATE(DATE_ADD(timestamp(date), 1, 'DAY')) date, departure_state , \nAVG(departure_delay) avg, COUNT(*) c FROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2 HAVING c > 5 ) b\nON a.date=b.date\nGROUP EACH BY 1, 2\nHAVING c > 5\nORDER BY corr DESC;\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:30]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r73f81a2da6417c68_00000140f53ae992_13 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": "[[u'NY', u'TN', u'0.4604778422876315', u'3985'],\n [u'NY', u'VA', u'0.4525985794332655', u'3985'],\n [u'NY', u'MO', u'0.4468373082176345', u'3985'],\n [u'NY', u'NC', u'0.4437414892121395', u'3985'],\n [u'NY', u'IN', u'0.42946643366576065', u'3985'],\n [u'NY', u'OH', u'0.4222869735099268', u'3985'],\n [u'NY', u'NY', u'0.41533503512414677', u'3985'],\n [u'NY', u'FL', u'0.41124840488503495', u'3985'],\n [u'NY', u'MI', u'0.4094548348798478', u'3985'],\n [u'NY', u'KY', u'0.4067009482378483', u'3985'],\n [u'NY', u'PA', u'0.404689694730979', u'3985'],\n [u'NY', u'IL', u'0.39262812794547247', u'3985'],\n [u'NY', u'CT', u'0.39235729297846395', u'3981'],\n [u'NY', u'SC', u'0.386602477144127', u'3985'],\n [u'NY', u'AL', u'0.384011640257245', u'3985'],\n [u'NY', u'MD', u'0.3810324724938643', u'3980'],\n [u'NY', u'WI', u'0.3730419992515536', u'3985'],\n [u'NY', u'RI', u'0.36244171842441797', u'3981'],\n [u'NY', u'AR', u'0.36115590731660774', u'3985'],\n [u'NY', u'NE', u'0.3597984334988245', u'3985'],\n [u'NY', u'NJ', u'0.34369045546341237', u'3982'],\n [u'NY', u'GA', u'0.33602647196842883', u'3985'],\n [u'NY', u'LA', u'0.3332696246080804', u'3985'],\n [u'NY', u'MA', u'0.33093486961307106', u'3983'],\n [u'NY', u'NH', u'0.3249965562761172', u'3981'],\n [u'NY', u'IA', u'0.31988290093730404', u'3985'],\n [u'NY', u'OK', u'0.31878660685572396', u'3984'],\n [u'NY', u'KS', u'0.31585571149654557', u'3984'],\n [u'NY', u'VT', u'0.30069202780694454', u'3973'],\n [u'NY', u'MS', u'0.2993557875886553', u'3984']]"
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": "# The best NY predictors, by quarter\nquery = \"\"\"SELECT a.q, a.departure_state, b.departure_state, corr(a.avg, b.avg) corr, COUNT(*) c\nFROM\n(SELECT QUARTER(timestamp(date)) q, date, departure_state , AVG(departure_delay) avg , COUNT(*) c\nFROM [bigquery-samples:airline_ontime_data.flights] \nWHERE departure_state = 'NY'\nGROUP BY 1,2,3 HAVING c > 5 \n) a\nJOIN\n(SELECT QUARTER(timestamp(date)) q, DATE(DATE_ADD(timestamp(date), 1, 'DAY')) date, departure_state , \nAVG(departure_delay) avg, COUNT(*) c FROM [bigquery-samples:airline_ontime_data.flights] \nGROUP BY 1,2,3 HAVING c > 5 ) b\nON a.date=b.date AND a.q = b.q\nGROUP EACH BY 1, 2, 3\nHAVING c > 5\nORDER BY corr DESC;\"\"\"\nfields, data = client.ReadSchemaAndRows(client.Query(query)['configuration']['query']['destinationTable'], max_rows = 1000)\ndata[0:30]",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\rWaiting on bqjob_r68fdf9c52356a2d_00000140f53b417c_14 ... (0s) Current status: DONE "
},
{
"output_type": "stream",
"stream": "stdout",
"text": "\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": "[[u'4', u'NY', u'TN', u'0.53851067476334', u'970'],\n [u'4', u'NY', u'MO', u'0.5152172520022091', u'970'],\n [u'4', u'NY', u'IN', u'0.49885726806993796', u'970'],\n [u'4', u'NY', u'FL', u'0.4928303849234381', u'970'],\n [u'4', u'NY', u'MI', u'0.48909682769276874', u'970'],\n [u'4', u'NY', u'NC', u'0.48781253899118443', u'970'],\n [u'4', u'NY', u'VA', u'0.47846255064825305', u'970'],\n [u'4', u'NY', u'NE', u'0.4774949028181781', u'970'],\n [u'4', u'NY', u'AR', u'0.47679508128463516', u'970'],\n [u'1', u'NY', u'VA', u'0.47457313376436105', u'982'],\n [u'4', u'NY', u'AL', u'0.47313773278292814', u'970'],\n [u'4', u'NY', u'SC', u'0.46563316524812737', u'970'],\n [u'4', u'NY', u'LA', u'0.4646150398714457', u'970'],\n [u'4', u'NY', u'NY', u'0.4618504486049276', u'970'],\n [u'4', u'NY', u'KY', u'0.45956516103857753', u'970'],\n [u'1', u'NY', u'MO', u'0.45927112269889714', u'982'],\n [u'4', u'NY', u'PA', u'0.4480173413522477', u'970'],\n [u'2', u'NY', u'TN', u'0.446800533477935', u'990'],\n [u'3', u'NY', u'OH', u'0.4465535392634808', u'1001'],\n [u'1', u'NY', u'TN', u'0.44189949064435124', u'982'],\n [u'4', u'NY', u'OH', u'0.4417318415120308', u'970'],\n [u'4', u'NY', u'WI', u'0.4408363684332177', u'970'],\n [u'2', u'NY', u'OH', u'0.4406200062270232', u'990'],\n [u'4', u'NY', u'IL', u'0.4405578019068183', u'970'],\n [u'1', u'NY', u'NC', u'0.44051373077047573', u'982'],\n [u'4', u'NY', u'KS', u'0.4391476663920567', u'970'],\n [u'2', u'NY', u'MO', u'0.4349768298772989', u'990'],\n [u'1', u'NY', u'IN', u'0.43422241708881326', u'982'],\n [u'2', u'NY', u'VA', u'0.43060698481465537', u'990'],\n [u'4', u'NY', u'GA', u'0.4274920117910521', u'970']]"
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": "# Bonus: When is a correlation a good correlation?\n\n\nnnn = 1100 # Move it from 2 to 4000\ns1 = pd.Series(np.random.random(nnn))\ns2 = pd.Series(np.random.random(nnn))\nplt.scatter(s1, s2)\ns1.corr(s2)",
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 87,
"text": "-0.023421886876298374"
},
{
"metadata": {},
"output_type": "display_data",
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NZ3vYXDDcH/K8v8Ruj2L69JkXfK7Hjh2jffvOREUVolSpKqxatYr9+/fj88Uj8iQiHyBS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vfGjRucPn36f5Lfzy1KswoprH0BWaDTURQdXW+HXM6nILHj19D1EuzatYukpIr4p8FstgeZNi1H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\nU2Q50F2XqyODBw9BV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L4AgKNHj+JylTS+jQhk93oUiYnFC+yw/vTTT1GUMPz7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\nIwa/IAjCMvMfSJV1EUN2Vu0AAAAASUVORK5CYII=\n",
"text": "<matplotlib.figure.Figure at 0x4d2b350>"
}
],
"prompt_number": 87
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Follow the most interesting BigQuery news at [http://www.reddit.com/r/bigquery](http://www.reddit.com/r/bigquery). Ask your technical questions using the [google-bigquery] tag on [Stack Overflow](http://stackoverflow.com/questions/tagged/google-bigquery)."
}
],
"metadata": {}
}
]
}
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