{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Low-income Americans can no longer afford rent, food, and transportation](http://www.vox.com/2016/3/30/11330832/low-income-households-cant-afford-basic-needs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">A new Pew Charitable Trusts analysis of data from the Bureau of Labor Statistics shows that in 2013, low-income Americans spent a median of 6,897 on housing. In 2014, that rose to 9,178 — the biggest jump in housing spending for the 19-year period of data that Pew studied.\n",
    "\n",
    ">The cost of other necessities, like transportation and food, also rose, albeit not as dramatically. 2014 was the first year that Pew studied in which median spending on these three categories was higher than the median income for those in the lower third of income groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>jQuery(function() {if (jQuery(\"body.notebook_app\").length == 0) { jQuery(\".input_area\").toggle(); jQuery(\".prompt\").toggle();}});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<button onclick=\"jQuery('.input_area').toggle(); jQuery('.prompt').toggle();\">Toggle code</button>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import IPython.core.display as di\n",
    "\n",
    "# This line will hide code by default when the notebook is exported as HTML\n",
    "di.display_html('<script>jQuery(function() {if (jQuery(\"body.notebook_app\").length == 0) { jQuery(\".input_area\").toggle(); jQuery(\".prompt\").toggle();}});</script>', raw=True)\n",
    "\n",
    "# This line will add a button to toggle visibility of code blocks, for use with the HTML export version\n",
    "di.display_html('''<button onclick=\"jQuery('.input_area').toggle(); jQuery('.prompt').toggle();\">Toggle code</button>''', raw=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "import matplotlib as mpl\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pandas import Series, DataFrame\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style(\"darkgrid\")\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Try to recreate this plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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au3yQwGtRLpfNMccck955552PtsAhsNiZmR0IsU6AHgLMzdba9YC4Xiq5MyLL+rihmCiX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LZp0yakquo/AKBh7KRs2y6bpolq5REAzPV4PKRSqSzu7e19zJUdp5xyir1+/XqTMcYcxzEAACzL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ZnXg83scYUwHkvOY7I5HAYFw1NjbK4bVhI/XjYowhEokoI8T90LZM0xT5y0da3/9utO9H2nbe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\nOpx7Z8yuKVHUG3qEe7UU8l7G5MR5z61fg11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JmqZp/vd++jZa3PT19Y0vKCgIDY+b8vLy\ncsZY4Xu5P4Z/P1q+YHfiBoCladrEPb0/LMvqC4VC3a7rHjVa3AzLF7wjbuz+/qMDUrp4ZVO2m4E9\nXF72m4WGIS969NEpFmPO7t4fDz300CRN07S//vWvr3zmM5+ZKKUM7CpfwBgbNW7y07fhcbM794cf\nB17cKJqmjd+dfEF+3IyWN3uPadcu82b5943/7HnssceOUlXVnjt37qbh902REOqH77rr2dtnfegf\nTFEiGVtumf2FL0w4rqurKHn66S99apT7Y7S82Wj5gpHiZvv27Zva29v9SSp3MNQEyzRN4fWzaO3t\n7T1BCHGTEKJX1/WqYDD4n/r6+varr756lrfertqOSQCQUmqMMWsX6+YYY9J1XSWXyymMMQ7Awgil\np87OTr/QYgFQ0+m0P/a04rpuLpvNXldSUnJ1KpX6huM4/1NeXv7VaDR6fnV1tdvW1vaexqn2RvSC\nqqoXaJrWkMlkDsvlch8VQjSUlZVN5pyfDaAhk8kclc1mTwfQwBibqut6JYCGUCh0nBDieAANlmVN\n1XV9FoCGQCAwgzF2AmOsIZvNzs7lcrMYYw0APsQ5nwGgQdO0U7LZ7BQADVLKD4fD4SOFEA2c8/ma\npk0SQjS4rvtxy7ImaJrWwBg7f+PGjWMURWlwHOfCoqKiUm+b1YWFhUWMsQbbtj/7wAMPhAA0AIiM\nHz++mDHWwDn/0pYtW4qEEA22bV+Sy+XCqqo2MMa+/cADD4Q45w2qqn6vo6MjyBhLCCGuvPvuuwOK\nokQ55wvvvvvuAICFruvGOjs7A67rXgGgvqOjI6jreg3nvAFASAjxTSFEQ39/f4HjOF9TVbUhEolo\niqJ8WQjhr/M1IUTDli1bijjnX2KMNYwfP75YSnmxoigNRx55ZJmqqhcoitLw6quvjgXwSSFEQyaT\nOSybzZ4jhGgIBoOHM8aqhBAN27dvP9p13dMBNCiKcqymaScBaCgoKJgphDieMdaQyWTm5MeNoijT\nATTkcrlZ2Wx2NmOsgTF2QiAQmOFt5xTHcY4F0OA4zhnd3d1HeeGfpyjKZCFEgxDiY37ccM7Pe/XV\nV8cqitKgKMqFoVCoTFGUBiHEUByoqvql7u7uQiFEg5TyEu9cNGia9uVIJKJ55/BruVwu7F0H33zx\nxRdDnPMGTdO+29HREQRQJ4RYcPfddwd0XY8CGIobXdejd999d0AIsQBAXUdHR1DTtO9yzhu87XxT\nCNGQy+XCjuN8zbtmixRF+QJjrKGsrKxESnkxgIYHHngg5DjOhYyxhsLCwiIAEcZYg3dcF/pxwzk/\nT9O0BsuyJgghPiaEaFAUZTKAeUKIhu7u7qNs2/4wgIZ0On2soiinvJv7gzF2QjgcPhJAg6qqJyuK\ncqx3X56xffv2o4UQDYyxqmAweLgQoiGbzZ6TyWQO8+Lsk37cqKp6wZFHHlmmKEqDlPLisrKykj25\nPzo7OwMA6jnn34lEIlwIkciLm3rXda/w7o8YY+zqu+++O8AYW6QoStT7vIAxlujo6Ajatv09znnD\nAw88EFIU5duqqjZ4cb9H9wfn/DxFURrGjx9f7LruxxVFadi4ceMYxtj5mqY1OI4z3nXdj3vX2iTO\n+XwhRIOX3pwJoCGbzU7RNO0UAA3e+f8QY+w93R+O45zhOM5471o+u6ysbLIXho9yzg/z0rdP5nK5\nsZqmNWia9hk/bmzbHoobRVG+YFlWkbevr/X39xfs6f2hKMoixtgCb1TIq/O/55zXevfQlUKIRGdn\nZ8C27cv8+4Bz/h1VVRsAhKSUl3jXdaGiKF9mjDVMnjx5j+8PPw5yudxYIcSZXpowUdf1+UKIhsLC\nwiP8uMnlcscEg8FTATQIIaYLIU5kjDXouj4rk8nMYYw1CCGOLygomOndNye9m/vDe/59rKysrERR\nlAbXdT+ZTqfHaZrWoCjKpydNmlTufX+RHzeqqn7ejxvbtr/ix40Q4psA/PumZk/vj87OzoDjOJe5\nrhszDIOpqlrDGEt46dtlUko/boaePVLKr/vPHk3TvgzAT7uqGWMNRUVFpY7jXPhu749gMHiqEKKh\nuLj4cCnl2QAaUqnU0ZZlneY9w6dxzisZYw2BQKAilUrNZYw1SCnnhkKh4wA06LpeKaWc5qW9p6VS\nqaO9++msPbk/AHzSS7sbFEX59IQJE8Z4981n/XyBlPLz3vEPj5tvAAg5ul53dNZa/Xwg9O1fjB+T\nXDOu7OORzs5ADoj6cbM794eqqjUA6iKRCPea3V/T0dERVFV1xHyBbdtf8eOGMfYFP25s275IUZSG\nCRMmjFFV9XxN0xrS6fQ4x3E+IYRoCAQCu3V/KIpyop9nS6VSc/08m58v8PNsjLGGVCo1NxAIVHjp\nzIl+3AQCgdP6+/uP8fJRZ3n7a9A07SNSyonec+Lc3b0/vLzZxd590MAY+7yfZ+OcfyUvX/B1ACFV\nVRs459954IEHQlLKBtu2L+vs7AwIIRIArrz77rsDnPPajKpedf7554d/f/hhb94ycexvGVe7P7p1\n24/SgUD8srVrw6PdH7Ztf0VV1YZzzz1X55x/MS9f8NWR8gWO43xOUZSGSZMmleu6/mlFURqKi4sP\n9/LQ7yg37LR9ViwWW8M57xZCPFJQULA0m81uZoxVLl269E3DMJhpmhKAjMVizwDgLS0tMwAwKSW8\n+UTWSSnHtLS0TMZggWKoSZU3TK4bi8X+V9f1r7uue5iu61uz2WxaSvmflpaWjw4fMjdvnpKHpZTH\nZjKZSatWrcrFYrFfBAKBr2mahnQ6vaKpqal20aJFY8Ph8LNCiLSmaRUA0o2NjZI6oRNCCCGE7JoE\nQv+dNmsTOEeBm5lz/IYNGw2Am3s4RwXZvyQiCkPS/e/U2ddPCgXrN6bTv/7wi51fld7cIfsjTEMd\nUGpqajTDMCoWL1483vusMsZCQoi3Wlpalg0MDHyvuLh4ouM4X8ZgIWLUWpDGxkYFAKSUz2maNt4w\njDHwCiZ5BAAphJhrWVaPruvdXmHjJQAVXuEj/weMMQbDMHQA0xljG1atWpXzFrjBYBADAwO/bmpq\nql2wYEFg5cqV23K53MLi4uIjUqnU9aZpCj9c7xHLK8mN9Jm9D5/xPn3mI332j/m9fAYw2me2G9+/\n288HY9zw3fh+f8TNvvy8N+NgX8bTLuOA4ma/pV0jxtPeiIMPcNwc9M+Y/PO+n+KG7cb3B0Xc3FpZ\nqUmAt8+c84MJwVCpLfFGl673RCIRxQTkXrw/9kfcHCzP/7123yQjg59TnN2/xbERDOhfWTvrhJMZ\nII2qKnUfx8GImGEM1jIkEokpgUDgxXQ6fU1ra+t1kUhEmTJlyn0Ank2n098rKioaq6rqq9ls9mct\nLS2XLliwIJDL5cQ555wjHn300fUA+EknnXTcv/71Lx4IBPiqVaty8Xj8m6WlpT/r6ur6Qmtr6+8X\nLFgQuPnmm61LL71UnThxomvb9gRFUV7P5XJ/bmlpuRgA4vH4isLCwkW9vb0fWr58+ZOGYWiNjY12\nY2OjZpqmtWjRojPHjBlzX29vb2NLS4vp/eaXmqZ91XGcsU1NTdv9DvLeUMD3FBQUzO/r6zttxYoV\nD/lDBO/spBBCCCGEHKr8N+P/njbrovGavmy7cFbMe3bdapr5/OAlMTg61toZs+8Mc+WtXplb/LFn\nn92+v2q0uDfcLnvxxRdfzWazz+q6/r3LLrusMK+TubNq1aqcZVknhUIhBcAzALBq1arc6tWr7erq\naldK6Ugpnerqanf16tW2VzPBANzW39/fpev6tZdccklw1apVOcaYXL16tW2aphBCLA0Gg4qiKDf4\nAWKM3eo4jtQ0rRmANE3TYoxJ0zQtAAgGg03ZbNZmjP1cSsmAwaZZruvKQCDAAKCtrW3oRHrtQ21N\n025ta2tTKioq/KZghBBCCCEkjzfErrhvxtxPl6iqeD7rniUzfb+UAKPCx8GLYXBoXpkd89menHV9\nsQws/vdxxx1l7qd5QVQAqK6u5slk0o1Go5fpun5PWVnZf6PR6BVeJ/KC2traz4VCod/09/e/mkql\nfgUA0Wj0o7quj3VdV0gpx0gpWSKRiCiKwh3H2RoMBteaptkbjUa/VVxc/KfDDz/8v7W1tVHO+bNC\niLGqqi4uLS39yrZt225Yvnz5fwzD4J2dnaypqen52tra2JgxY1rr6urusCzrB4qivCGEOErX9R8U\nFhZ+uKur67Lly5e/lk6nAxjsxM4VRWGWZQ0VLLyRvVTTNJ+NRqNLx40bZzzyyCN1ra2t17W1tSnV\n1dVUC0IIIYQQkmd9MikBwJby+0dpgZNSbqau6qVXm9ZUVamgAshBr2jsgJsaUP9+WECb+nJOpABc\nP6+qipvt7e9rLQgH3h6Gt7W1dU1fX9/5jLFQMBhcyxirZIx9KRQK/cF13fsymcw5t9xyy3bvtz9Q\nVfV3ANoAlDDGigG0qar6OyHE9Xmjav25r6/v0wCKw+HwPxVFeT0YDD7OOb+op6cnsXz58kVeMzCZ\nTCbdSCSiLF++fHl3d3cN5/zUcDj8IOf89XA4fD9jbFZ3d/fXli9f/qNIJKKUl5f7hYiU67p9Usod\nTp5pmq5hGDwcDjd1d3c/GggEropGo9Oqq6vdXbVNI4QQQgg5lLQhopiAWDNtzjmHadpJr+WyNhPq\nXwBg3vucQSV739qqKuWkjg4bwGpbSjDI2vtnzCia197uyve5ddAOO/P7gwBQGhoa5jqO8ysp5cvB\nYHChaZob8tdJJBJlgUBAsyxL2ratAICmaa6u6yyXy9lNTU3dw7bJGhoaTgAwWUrZ093d/cQPf/jD\nAS8McqRwLFiwIFBUVPQhzvlYIcSWbdu2Pb569Wo7b5sABmc+V1U1qOv69hFmO2cA5CWXXBI89dRT\ni19++eWMN+HhO/ZLCCGEEHKo8vsJ/O3IOWUTCnn9gOuWzX/u6W/TyFcfDH78ts+cOVGDtion2E/H\nqc49szs77bdX2U8ikYji1w4kEoknYrHYzwHAMAz93dYa+J3Cd/f7d/ubnaA+H4QQQggho/D7Aayd\nNuu4h2ce/9M7j515ogTY+/1mnOxbfnz+/KijgvdPnxNbM33OP/ZHH5ARLyq/oJHL5T7nuu62cDjc\nDgxOVuiv43cAH3XD75xvgxmGwWbNmsWSySTa2trEbszJwSKRCI9EIkgmk/4M6yP9ZmjukZ1tazfW\nIYQQQgg55PgjXK2ZPvv6Y4Oh+pdz2U5xWPnxa9vbBdV+fHD4tVn3zpw7PcDYcwHG0e861Wc+t+4P\niEQ4o5FiCSGEEELIvubXdPxlYmW4fcbst16cUynXzJjzdWCwYLKfg0f2sjavNdGa6XN+tnHuyfLe\nGXN+Bwz2AXq/wrDTWoxIJKJUVFTIEfpVEEIIIYSQDw72aGWlOtBrz1YV+U07y6+Z/+qTPX6/gf0d\nOLL3+PO8/Gfm3Nk65JyXM+6aicVK7sx163qAwSF793MQCSGEEELIB9jgHGqAsnb6nLX/nTm3+c8z\nZhQBb/cXIB880utu8Y/pcz761KwPrV87Y84vgbdrR/Y1GoqWEEIIIeQQJSMRLgE2bsacz5aoSpXK\nWKwU+tHeYiqAfECtXbuWS4Dpkk3mQIUKRO6tqKiIJJPvy8SEVAAhhBBCCDlEJTHY5IZLfHKsqiHt\nur+d99y6df6M6Ps7fGTfmN/e7jQCbN4LT/1yq+M8Vci5Il12BAPkrEhknxc8qWMRIYQQQsghSAIM\nyaRYc/zxpW/12Et0lvs7XPYyAESSFdQP4BDBOPt6t8h2K1Ir/ufMmWM+lkxu39d9f6gGhBBCCCHk\nENRRWakyQPKse/1xhfp9Kde1ql5c95iEwRloAKIPOhMQBsDnPfPU4xxadIymP6kJ9RJgcNb0fblv\nKoAQQgghhBwC/OF2vX/KSR0ddvvMyokc7GsK+FSN82MlwNZWraX84SFiXlUVlwCXgMUZwBiL/nPm\nzDHz2tvdfTkIAV1ghBBCCCEfYBJga6qqVAbIvH/uY8edMA0y95kQ57kttv1WSmR+BADz2ttpMrpD\nxNr2dsEAoUJr3WLZ/Rx4YiLnuX29XxrdgBBCCCHkA2SwFqNK2dreLiOA8Nvy/33q1IASDqu6JeeE\nwZYy4MyMkHf3IveNUmgzzn5+/X9o3o9DV/v0ucfYtkgzTX78I8+v//W+vA6oAEIIIYQQ8gExUgHi\n/hlzZmiMfUtl7DMDrmgXkDdM1gPP9LkuUsJ9RDxXfsZ8tDtU+Dg0+U2t7j9yTqkI4oUyVR3T5Vin\nzHt+/SNtiCjVSO71GjFqgkUIIYQQ8gHBALmmouKwB2acEOmoOOH3a6fPiTsuC0/Q9GiBosyQkPOs\nIH99k527Kgv3bJHtO3sr2mUbIgoVPg5NDJDJSIRvfm1dHyD/U6goAGPL11RV7bPRcmkYXkIIIYSQ\ngxuTAF6Yeq7+EDYEWI4fMy6ktOmMYcB1z+4t0Va93JdbGeDocKTS3vvU9Gw1kjfvuInkfgk4OXBU\nA247+E29jn2UAFZ/pH2wVmxf7IuaYBFCCCGEHMTaIhGlOpl0186Y/ZMgU86yXHmJYPIHGmOdQsg7\nNmvuvdWdnVb+b9ZUValb28fLCJKCaj4IMNgUK4kIL65YX1Iu1Quzriw5+/l1N0iA06SUhBBCCCEE\nwGBBAgDWTJ99/WMVJ8j1s06Ua6bPTgxfT0YiypqqKnVfDq1KDm5tkYgCAPfNnP2xh2Ye/9O1M+bM\n8Ydt3t9hI4QQQgghBwDD68u7YOrUQPuMOV9/vOIEsWb67BuBwYLJmqoqtQ2RfTqhHCGEEEIIIeQQ\n4Bcs/j2j4jMdxx3/1NrjTpj2z5mzT3+0slID3h7ZiJA9JQEmIxHFoMGqCCGEEEIIMFi7IQG2Ztqc\ncx6YMbf/hdmVsn367N8CbxdMCDmQUcmGEEIIIeQgIQE2v73dYYDkjAmVs/AmO/dgQIS/u6aqSl2P\nJHUoJwc8qp4jhBBCCDkIGAA3AXHnzJkTx7HA/0sJp16AWXDZm/M3rNtIEwmSgwXNA0IIIYQQcoCT\nAE9GIuz+p56dAYk/FanqcSnX/c38558+BhgsnNBQqeRgQU2wCCGEEEIObCwJsOpk0nUAnTN2zFbb\nynLOLpYAX1NVpZpU+CAHEWqCRQghhBBygMpvVnXfjDm/c4HbHCmfU8AnzX/+qbtokjhyMKICCCGE\nEELIgYndWlmpzhoYCLpSv6lMU7+RdgVsbh91Vmfna2tQpc5Hu7O/A0nInqImWIQQQgghB6A2gF/a\n0WGrbgljTH5KAUNWiLgzbtymRysrNSp8kIMV1YAQQgghhBxg/KZVa6bNXqAwprqM/0ll8otnPfvU\nsv0dNkIIIYQQQsgHiAS4BPg9M+dU3j9jjv3MrBPlvVNnnQ8A/kznhBzMqAkWIYQQQsgBZG1VFWeA\n4FJec2QgqG5xrPvCInjfo5WVWmVHBzW7Igc9aoJFCCGEEHKAaZ8+9xihOplCqV2TduxfVL3Q+XAb\noFQD7v4OGyGEEEIIIeQDwPBapjxQUVF+34w5XffNmPOnX06YW5C/jJAPAqoBIYQQQgg5AMhIRFm/\nfr2y3eG/GavpF29zrC1CEcfP6+zcAkD684EQcrCj0jQhhBBCyP7HWDIpZnd2WgDrs6WEBP/2/M7O\nN5ORCKPCB/kgoRoQQgghhJD9yJ/t/NHKynAuZS+xuLPKyfFjznnxuIeBpKDCB/mgoRoQQgghhJD9\nKRLhAJAasGKHaXo9d/h/73/x6YeApNjfQSOEEEIIIYR8gPidy++bNmfKgzOPl+tmfUiumTEnKgEu\nIxFlf4ePkH2BmmARQgghhOwnEmBrq6qU7hfeKhlTpM+TUnx93vNPfxoAkwCo+RX5IKImWIQQQggh\n+0FbJKIwQGLztq9PKQk+KCRS855/+tNy8AUxjXpFPrCoAEIIIYQQ8j4zAB5JJuX9M+bMUBlvDinK\nVAZxkV8jsr/DR8i+RAUQQgghhJD32azBoXWFzZimMea+aec29hUFrgaAee3tNNs5+UCjPiCEEEII\nIe8jCYMzmOLe6XM+qnI2OefIe1wV4895dt1j/pC8+zuMhBBCCCGEkA8G1gYoz0+dGlgzY86TL885\nSbbPmBMFgDVVVer+Dhwh7wdqgkUIIYQQ8j5ZU1WlVAPumzx02VF6YO4bVq6Hue4dbYCytr2d5v0g\nhwQqgBBCCCGEvA8kwNa2t4tHKyvDluRt2237f20hW87e0NmJSAQmQAUQQgghhBBCyHvXBiiPVlZq\nALBm+pw7Hpp5/O13HTvriMFlNOEgObRQW0NCCCGEkH2HGQCrBlx0dLjtM2ZfWsCV81TGENJwC4DX\n93cACSGEEEIIIQcxA+Beh/Kh0Ub/c9zcD90zY+7n2mfMvmXDnEp5z/Q5q4DByQj3W0AJ2U9oGF5C\nCCGEkPdIAiyJCK9Gcoc5PNpnzpzIpfa/DPh4SFH4ALOP5K56kppzHzjt5ae3AAANu0sONdQEixBC\nCCHkPWhDRGFIukDSlQBvnzZrhsKUr7hMnMk1dqFryROLFZXnpHgQtpx41gtP/ml/h5mQ/YlqQAgh\nhBBC3oU2QIkAggHy6YoKvVvwqrTOHwhkRcfhemAGZwwb7cynHbD+Iqj6yc8+8U9gcL6Pee3tLtV8\nkEMVFUAIIYQQQvZQG6BUA64E2L0zZycUyb4yVtMq3nJynxCSH1+qKF9JOeLHXLK/nPHCk2/4v6OZ\nzgmhJliEEEIIIXvEAHg14K6ZNuectS+Ur2Wy65Qj9GDFW7bVzQSf9XyRfuOmTOYm8/lOCxgsrABA\nNUC1HoQQQgghhJDd58/l0T59zgUdx50g26fP+Wv7tIpTnjjuhNp/TZs2OX/dNVVVqqTWJoS8A90U\nhBBCCCG74dHKSu2kjg77vuOOnxUAng4yjm7HadfSBZ88Y+ODGWCHJlYMVNtByIj4/g4AIYQQQsiB\nzgD4SR0d9tpps8/LOejJue71va5zj5hYfs4ZGx/MPFpZqQ3r30GFD0IIIYQQQsie8wsX906ffeHD\nxx0v750x5+k1Rx1fCq8lCTWzImTPUA0IIYQQQsgo1lRVqSd1dNj3Tp97tMb5n0KcAxIZLcjDEoAE\nOHUsJ2TPUAGEEEIIIWQEBsDnt7c7a6bPvlC4jmJBLOhznTVvprvPPvO5xzc1Dja5Evs7nIQcbKjK\nkBBCCCFkmEcrK7WXOjrEhJmzz9XB/+ZIudlR3BPnd3a+CdB8HoS8F1QDQgghhBCSRwLKSR0d9qQZ\nM8KQaCtRVAB4jTOmSYBTsytC3hsqgBBCCCGEeIzBwoW7dsacSMblUxmTn+9znTudbN+8qvXrX28E\nQM2uCHlvqAkWIYQQQggGO5wDAHtz2yd1ptzuSpm1XDHnoxvWvwhQsytC9haqASGEEELIIa8NUOa3\ntztFAwOMSf7zclVlkHgcmu60IaJQsytC9h6qASGEEELIIc0rXIi1M2d/zJHSURjPhBiLvdbf9eXq\njRszBsBNanZF/j979x0nR13/D/z9/nxmdrZfSU8oIYQkpFGCFAUuASmioKh7Fuz6CzZESHKXgLq3\nXxHSAAVRib3rrQUBI4qaHCDNhJKQkEZPvSRXts7szHw+vz9uNxwxd7n09nryyOOG2dmZ2X3fZ2be\n92mw3yABAQAAgGOWJhJpIh4wduxJ0pdPmcy1jkdnTl637Nny62h2BbCfoQkWAAAAHKu4iYjqiXz2\nxO8Hm4FaX9PLwqB8cyIhm4kkkg+A/Q81IAAAAHAsYk1EK8aONVuVnEBEVMX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3uDtXo3DRhgL6qrM8rDWaFZDOx36USiktj+ZIvnftMT3l1MpCe3tKAT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\nUupXoVDoR47jPEFE9/alfBSLxd8R0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G0Hk0aNxicbx/QCeHhJ4dn9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\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RW6PSlSWICLoQ8KSPEfF6/OdF76ooHWXEMBA2fPQ6WfgcXLUbAHyWcCVjVbfEvoyEEWBQ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\nVwCA3t7e982YMeO4JEm+t2bNmt+la4M8lSTJDwqFwjt7e3v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uAPDAypUrrySiz9i2LVuu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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('https://cdn2.vox-cdn.com/thumbor/PBFeR5h6uDVbac3CSVzXSpZJkAE=/800x0/filters:no_upscale()/cdn0.vox-cdn.com/uploads/chorus_asset/file/6268393/chart.0.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>thirds</th>\n",
       "      <th>weighted_mean_total_expend</th>\n",
       "      <th>weighted_mean_food</th>\n",
       "      <th>weighted_mean_housing</th>\n",
       "      <th>weighted_mean_transportation</th>\n",
       "      <th>weighted_mean_healthcare</th>\n",
       "      <th>weighted_mean_entertainment</th>\n",
       "      <th>weighted_mean_apparal</th>\n",
       "      <th>weighted_mean_reading</th>\n",
       "      <th>...</th>\n",
       "      <th>median_food</th>\n",
       "      <th>median_housing</th>\n",
       "      <th>median_transportation</th>\n",
       "      <th>median_healthcare</th>\n",
       "      <th>median_entertainment</th>\n",
       "      <th>median_apparal</th>\n",
       "      <th>median_reading</th>\n",
       "      <th>median_retirement_pension</th>\n",
       "      <th>median_cash_contrib</th>\n",
       "      <th>median_income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1996</td>\n",
       "      <td>Lower Third</td>\n",
       "      <td>23465.69</td>\n",
       "      <td>4469.709</td>\n",
       "      <td>7748.817</td>\n",
       "      <td>4779.971</td>\n",
       "      <td>906.5408</td>\n",
       "      <td>992.0576</td>\n",
       "      <td>1022.189</td>\n",
       "      <td>90.83981</td>\n",
       "      <td>...</td>\n",
       "      <td>3167.614</td>\n",
       "      <td>5674.843</td>\n",
       "      <td>1208.842</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>386.1579</td>\n",
       "      <td>402.9474</td>\n",
       "      <td>0</td>\n",
       "      <td>420.8672</td>\n",
       "      <td>0</td>\n",
       "      <td>14548.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1997</td>\n",
       "      <td>Lower Third</td>\n",
       "      <td>26339.62</td>\n",
       "      <td>4969.511</td>\n",
       "      <td>9298.430</td>\n",
       "      <td>5092.749</td>\n",
       "      <td>1200.3450</td>\n",
       "      <td>1134.4780</td>\n",
       "      <td>1087.907</td>\n",
       "      <td>95.18034</td>\n",
       "      <td>...</td>\n",
       "      <td>3353.184</td>\n",
       "      <td>6136.958</td>\n",
       "      <td>1413.894</td>\n",
       "      <td>46.76302</td>\n",
       "      <td>462.1286</td>\n",
       "      <td>436.7694</td>\n",
       "      <td>0</td>\n",
       "      <td>501.3747</td>\n",
       "      <td>0</td>\n",
       "      <td>15696.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1998</td>\n",
       "      <td>Lower Third</td>\n",
       "      <td>25917.10</td>\n",
       "      <td>4804.838</td>\n",
       "      <td>9145.672</td>\n",
       "      <td>4922.368</td>\n",
       "      <td>1136.4340</td>\n",
       "      <td>1189.4580</td>\n",
       "      <td>1066.689</td>\n",
       "      <td>92.84431</td>\n",
       "      <td>...</td>\n",
       "      <td>3174.551</td>\n",
       "      <td>5999.362</td>\n",
       "      <td>1201.116</td>\n",
       "      <td>10.76119</td>\n",
       "      <td>442.2290</td>\n",
       "      <td>382.1732</td>\n",
       "      <td>0</td>\n",
       "      <td>522.7584</td>\n",
       "      <td>0</td>\n",
       "      <td>15794.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1999</td>\n",
       "      <td>Lower Third</td>\n",
       "      <td>26129.84</td>\n",
       "      <td>4719.575</td>\n",
       "      <td>8987.732</td>\n",
       "      <td>5239.441</td>\n",
       "      <td>1090.0910</td>\n",
       "      <td>1218.5830</td>\n",
       "      <td>1103.091</td>\n",
       "      <td>86.00095</td>\n",
       "      <td>...</td>\n",
       "      <td>3147.648</td>\n",
       "      <td>6141.948</td>\n",
       "      <td>1233.700</td>\n",
       "      <td>26.90297</td>\n",
       "      <td>467.2310</td>\n",
       "      <td>376.6416</td>\n",
       "      <td>0</td>\n",
       "      <td>593.6587</td>\n",
       "      <td>0</td>\n",
       "      <td>16141.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2000</td>\n",
       "      <td>Lower Third</td>\n",
       "      <td>27817.75</td>\n",
       "      <td>4994.988</td>\n",
       "      <td>9332.954</td>\n",
       "      <td>5916.607</td>\n",
       "      <td>1200.1270</td>\n",
       "      <td>1290.1890</td>\n",
       "      <td>1113.315</td>\n",
       "      <td>81.42344</td>\n",
       "      <td>...</td>\n",
       "      <td>3412.361</td>\n",
       "      <td>6336.492</td>\n",
       "      <td>1484.495</td>\n",
       "      <td>78.74680</td>\n",
       "      <td>514.7571</td>\n",
       "      <td>367.4851</td>\n",
       "      <td>0</td>\n",
       "      <td>580.8434</td>\n",
       "      <td>0</td>\n",
       "      <td>15880.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year       thirds  weighted_mean_total_expend  weighted_mean_food  \\\n",
       "0  1996  Lower Third                    23465.69            4469.709   \n",
       "1  1997  Lower Third                    26339.62            4969.511   \n",
       "2  1998  Lower Third                    25917.10            4804.838   \n",
       "3  1999  Lower Third                    26129.84            4719.575   \n",
       "4  2000  Lower Third                    27817.75            4994.988   \n",
       "\n",
       "   weighted_mean_housing  weighted_mean_transportation  \\\n",
       "0               7748.817                      4779.971   \n",
       "1               9298.430                      5092.749   \n",
       "2               9145.672                      4922.368   \n",
       "3               8987.732                      5239.441   \n",
       "4               9332.954                      5916.607   \n",
       "\n",
       "   weighted_mean_healthcare  weighted_mean_entertainment  \\\n",
       "0                  906.5408                     992.0576   \n",
       "1                 1200.3450                    1134.4780   \n",
       "2                 1136.4340                    1189.4580   \n",
       "3                 1090.0910                    1218.5830   \n",
       "4                 1200.1270                    1290.1890   \n",
       "\n",
       "   weighted_mean_apparal  weighted_mean_reading      ...        median_food  \\\n",
       "0               1022.189               90.83981      ...           3167.614   \n",
       "1               1087.907               95.18034      ...           3353.184   \n",
       "2               1066.689               92.84431      ...           3174.551   \n",
       "3               1103.091               86.00095      ...           3147.648   \n",
       "4               1113.315               81.42344      ...           3412.361   \n",
       "\n",
       "   median_housing  median_transportation  median_healthcare  \\\n",
       "0        5674.843               1208.842            0.00000   \n",
       "1        6136.958               1413.894           46.76302   \n",
       "2        5999.362               1201.116           10.76119   \n",
       "3        6141.948               1233.700           26.90297   \n",
       "4        6336.492               1484.495           78.74680   \n",
       "\n",
       "   median_entertainment  median_apparal  median_reading  \\\n",
       "0              386.1579        402.9474               0   \n",
       "1              462.1286        436.7694               0   \n",
       "2              442.2290        382.1732               0   \n",
       "3              467.2310        376.6416               0   \n",
       "4              514.7571        367.4851               0   \n",
       "\n",
       "   median_retirement_pension  median_cash_contrib  median_income  \n",
       "0                   420.8672                    0       14548.08  \n",
       "1                   501.3747                    0       15696.40  \n",
       "2                   522.7584                    0       15794.67  \n",
       "3                   593.6587                    0       16141.78  \n",
       "4                   580.8434                    0       15880.60  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = \"https://raw.githubusercontent.com/voxmedia/data-projects/master/vox-data/pew-household-expenditures-2016.csv\"\n",
    "raw_data = pd.read_csv(url)\n",
    "raw_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year                                  int64\n",
       "thirds                               object\n",
       "weighted_mean_total_expend          float64\n",
       "weighted_mean_food                  float64\n",
       "weighted_mean_housing               float64\n",
       "weighted_mean_transportation        float64\n",
       "weighted_mean_healthcare            float64\n",
       "weighted_mean_entertainment         float64\n",
       "weighted_mean_apparal               float64\n",
       "weighted_mean_reading               float64\n",
       "weighted_mean_retirement_pension    float64\n",
       "weighted_mean_cash_contrib          float64\n",
       "weighted_mean_income                float64\n",
       "median_total_expend                 float64\n",
       "median_food                         float64\n",
       "median_housing                      float64\n",
       "median_transportation               float64\n",
       "median_healthcare                   float64\n",
       "median_entertainment                float64\n",
       "median_apparal                      float64\n",
       "median_reading                      float64\n",
       "median_retirement_pension           float64\n",
       "median_cash_contrib                 float64\n",
       "median_income                       float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'year', u'thirds', u'weighted_mean_total_expend',\n",
       "       u'weighted_mean_food', u'weighted_mean_housing',\n",
       "       u'weighted_mean_transportation', u'weighted_mean_healthcare',\n",
       "       u'weighted_mean_entertainment', u'weighted_mean_apparal',\n",
       "       u'weighted_mean_reading', u'weighted_mean_retirement_pension',\n",
       "       u'weighted_mean_cash_contrib', u'weighted_mean_income',\n",
       "       u'median_total_expend', u'median_food', u'median_housing',\n",
       "       u'median_transportation', u'median_healthcare', u'median_entertainment',\n",
       "       u'median_apparal', u'median_reading', u'median_retirement_pension',\n",
       "       u'median_cash_contrib', u'median_income'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'year', u'thirds', u'weighted_mean_total_expend',\n",
       "       u'weighted_mean_food', u'weighted_mean_housing',\n",
       "       u'weighted_mean_transportation', u'weighted_mean_healthcare',\n",
       "       u'weighted_mean_entertainment', u'weighted_mean_apparal',\n",
       "       u'weighted_mean_reading', u'weighted_mean_retirement_pension',\n",
       "       u'weighted_mean_cash_contrib', u'weighted_mean_income',\n",
       "       u'median_total_expend', u'median_food', u'median_housing',\n",
       "       u'median_transportation', u'median_healthcare', u'median_entertainment',\n",
       "       u'median_apparal', u'median_reading', u'median_retirement_pension',\n",
       "       u'median_cash_contrib', u'median_income'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Copy raw_data into a new df\n",
    "df = raw_data.copy()\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Convert \"thirds\" column to category\n",
    "df['thirds'] = df['thirds'].astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year                                   int64\n",
       "thirds                              category\n",
       "weighted_mean_total_expend           float64\n",
       "weighted_mean_food                   float64\n",
       "weighted_mean_housing                float64\n",
       "weighted_mean_transportation         float64\n",
       "weighted_mean_healthcare             float64\n",
       "weighted_mean_entertainment          float64\n",
       "weighted_mean_apparal                float64\n",
       "weighted_mean_reading                float64\n",
       "weighted_mean_retirement_pension     float64\n",
       "weighted_mean_cash_contrib           float64\n",
       "weighted_mean_income                 float64\n",
       "median_total_expend                  float64\n",
       "median_food                          float64\n",
       "median_housing                       float64\n",
       "median_transportation                float64\n",
       "median_healthcare                    float64\n",
       "median_entertainment                 float64\n",
       "median_apparal                       float64\n",
       "median_reading                       float64\n",
       "median_retirement_pension            float64\n",
       "median_cash_contrib                  float64\n",
       "median_income                        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'weighted_mean_total_expend', u'weighted_mean_food',\n",
       "       u'weighted_mean_housing', u'weighted_mean_transportation',\n",
       "       u'weighted_mean_healthcare', u'weighted_mean_entertainment',\n",
       "       u'weighted_mean_apparal', u'weighted_mean_reading',\n",
       "       u'weighted_mean_retirement_pension', u'weighted_mean_cash_contrib',\n",
       "       u'weighted_mean_income', u'median_total_expend', u'median_food',\n",
       "       u'median_housing', u'median_transportation', u'median_healthcare',\n",
       "       u'median_entertainment', u'median_apparal', u'median_reading',\n",
       "       u'median_retirement_pension', u'median_cash_contrib', u'median_income'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns[2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Save weighted_mean values in a separate dataframe\n",
    "weighted_mean = df[['weighted_mean_total_expend', 'weighted_mean_food', 'weighted_mean_housing', 'weighted_mean_transportation', \n",
    "    'weighted_mean_healthcare', 'weighted_mean_entertainment', 'weighted_mean_apparal', 'weighted_mean_reading',\n",
    "    'weighted_mean_retirement_pension', 'weighted_mean_cash_contrib', 'weighted_mean_income']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>thirds</th>\n",
       "      <th>median_total_expend</th>\n",
       "      <th>median_food</th>\n",
       "      <th>median_housing</th>\n",
       "      <th>median_transportation</th>\n",
       "      <th>median_healthcare</th>\n",
       "      <th>median_entertainment</th>\n",
       "      <th>median_apparal</th>\n",
       "      <th>median_reading</th>\n",
       "      <th>median_retirement_pension</th>\n",
       "      <th>median_cash_contrib</th>\n",
       "      <th>median_income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16186.45</td>\n",
       "      <td>3167.614</td>\n",
       "      <td>5674.843</td>\n",
       "      <td>1208.842</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>386.1579</td>\n",
       "      <td>402.9474</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>420.8672</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>14548.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17045.12</td>\n",
       "      <td>3353.184</td>\n",
       "      <td>6136.958</td>\n",
       "      <td>1413.894</td>\n",
       "      <td>46.76302</td>\n",
       "      <td>462.1286</td>\n",
       "      <td>436.7694</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>501.3747</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15696.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16194.86</td>\n",
       "      <td>3174.551</td>\n",
       "      <td>5999.362</td>\n",
       "      <td>1201.116</td>\n",
       "      <td>10.76119</td>\n",
       "      <td>442.2290</td>\n",
       "      <td>382.1732</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>522.7584</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15794.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16469.64</td>\n",
       "      <td>3147.648</td>\n",
       "      <td>6141.948</td>\n",
       "      <td>1233.700</td>\n",
       "      <td>26.90297</td>\n",
       "      <td>467.2310</td>\n",
       "      <td>376.6416</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>593.6587</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>16141.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17796.78</td>\n",
       "      <td>3412.361</td>\n",
       "      <td>6336.492</td>\n",
       "      <td>1484.495</td>\n",
       "      <td>78.74680</td>\n",
       "      <td>514.7571</td>\n",
       "      <td>367.4851</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>580.8434</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15880.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17619.35</td>\n",
       "      <td>3320.342</td>\n",
       "      <td>6412.185</td>\n",
       "      <td>1423.004</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>479.4166</td>\n",
       "      <td>339.9231</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>647.9749</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>16738.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17852.68</td>\n",
       "      <td>3303.402</td>\n",
       "      <td>6403.517</td>\n",
       "      <td>1353.690</td>\n",
       "      <td>24.91778</td>\n",
       "      <td>465.9622</td>\n",
       "      <td>304.9294</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>681.0090</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17162.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17726.51</td>\n",
       "      <td>3239.312</td>\n",
       "      <td>6837.439</td>\n",
       "      <td>1495.067</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>463.4707</td>\n",
       "      <td>254.1614</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>667.7969</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17442.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17417.29</td>\n",
       "      <td>3162.359</td>\n",
       "      <td>6510.437</td>\n",
       "      <td>1542.070</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>452.4605</td>\n",
       "      <td>209.2021</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>814.3961</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>19867.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17401.50</td>\n",
       "      <td>3074.680</td>\n",
       "      <td>6716.992</td>\n",
       "      <td>1560.991</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>463.5671</td>\n",
       "      <td>236.5138</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>819.7566</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20316.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18651.59</td>\n",
       "      <td>3206.498</td>\n",
       "      <td>7186.978</td>\n",
       "      <td>1773.709</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>497.5600</td>\n",
       "      <td>230.3519</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>881.0958</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20686.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>19438.81</td>\n",
       "      <td>3782.088</td>\n",
       "      <td>7334.940</td>\n",
       "      <td>1865.196</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>539.3339</td>\n",
       "      <td>224.7229</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>946.0820</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20998.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>19507.30</td>\n",
       "      <td>3825.949</td>\n",
       "      <td>7273.666</td>\n",
       "      <td>1962.614</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>549.5320</td>\n",
       "      <td>218.0683</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>834.1111</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20138.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18797.70</td>\n",
       "      <td>3578.644</td>\n",
       "      <td>7331.856</td>\n",
       "      <td>1623.482</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>523.7744</td>\n",
       "      <td>183.2964</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>775.0819</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>19801.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18262.34</td>\n",
       "      <td>3627.782</td>\n",
       "      <td>7070.955</td>\n",
       "      <td>1631.428</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>530.7769</td>\n",
       "      <td>171.7293</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>684.4130</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18868.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18425.46</td>\n",
       "      <td>3626.741</td>\n",
       "      <td>7343.226</td>\n",
       "      <td>1864.702</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>468.3719</td>\n",
       "      <td>167.6137</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>648.9445</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18656.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18364.26</td>\n",
       "      <td>3742.353</td>\n",
       "      <td>7073.458</td>\n",
       "      <td>1838.277</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>468.8222</td>\n",
       "      <td>164.4990</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>709.4020</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18711.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17541.92</td>\n",
       "      <td>3466.667</td>\n",
       "      <td>6896.907</td>\n",
       "      <td>1668.381</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>420.0000</td>\n",
       "      <td>121.7101</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>620.7216</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17036.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>22659.60</td>\n",
       "      <td>4680.000</td>\n",
       "      <td>9178.000</td>\n",
       "      <td>2312.000</td>\n",
       "      <td>140.00000</td>\n",
       "      <td>672.0000</td>\n",
       "      <td>180.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>894.9000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15525.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>27325.57</td>\n",
       "      <td>4365.264</td>\n",
       "      <td>8825.062</td>\n",
       "      <td>3015.674</td>\n",
       "      <td>610.01760</td>\n",
       "      <td>777.9124</td>\n",
       "      <td>696.3297</td>\n",
       "      <td>55.96492</td>\n",
       "      <td>2335.0350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>38547.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29123.73</td>\n",
       "      <td>4533.262</td>\n",
       "      <td>9215.065</td>\n",
       "      <td>3139.280</td>\n",
       "      <td>687.69150</td>\n",
       "      <td>896.7496</td>\n",
       "      <td>770.2144</td>\n",
       "      <td>54.59618</td>\n",
       "      <td>2609.1010</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>41261.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>28895.03</td>\n",
       "      <td>4476.887</td>\n",
       "      <td>9374.164</td>\n",
       "      <td>2964.573</td>\n",
       "      <td>622.39640</td>\n",
       "      <td>873.5389</td>\n",
       "      <td>709.7503</td>\n",
       "      <td>43.67694</td>\n",
       "      <td>2611.0620</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>40947.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29151.19</td>\n",
       "      <td>4465.893</td>\n",
       "      <td>9620.503</td>\n",
       "      <td>2980.849</td>\n",
       "      <td>677.95490</td>\n",
       "      <td>887.7980</td>\n",
       "      <td>715.6190</td>\n",
       "      <td>32.28357</td>\n",
       "      <td>2573.2690</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>41699.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29921.51</td>\n",
       "      <td>4567.314</td>\n",
       "      <td>9869.599</td>\n",
       "      <td>3281.117</td>\n",
       "      <td>692.97190</td>\n",
       "      <td>908.2131</td>\n",
       "      <td>661.4731</td>\n",
       "      <td>20.99915</td>\n",
       "      <td>2711.5150</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>42023.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29900.36</td>\n",
       "      <td>4558.060</td>\n",
       "      <td>9828.154</td>\n",
       "      <td>3183.878</td>\n",
       "      <td>700.44750</td>\n",
       "      <td>894.4519</td>\n",
       "      <td>618.0419</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2758.0120</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>43931.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31044.35</td>\n",
       "      <td>4523.119</td>\n",
       "      <td>10198.120</td>\n",
       "      <td>3201.759</td>\n",
       "      <td>792.81640</td>\n",
       "      <td>955.4454</td>\n",
       "      <td>609.8588</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2915.8870</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>44856.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30369.04</td>\n",
       "      <td>4460.282</td>\n",
       "      <td>10486.060</td>\n",
       "      <td>3239.311</td>\n",
       "      <td>749.19440</td>\n",
       "      <td>907.0078</td>\n",
       "      <td>498.3556</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2859.3150</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>44976.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30471.75</td>\n",
       "      <td>4694.886</td>\n",
       "      <td>10319.020</td>\n",
       "      <td>3201.280</td>\n",
       "      <td>744.37040</td>\n",
       "      <td>904.9210</td>\n",
       "      <td>462.1908</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3212.8340</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50455.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31177.30</td>\n",
       "      <td>4499.016</td>\n",
       "      <td>10506.540</td>\n",
       "      <td>3453.102</td>\n",
       "      <td>695.50630</td>\n",
       "      <td>931.8647</td>\n",
       "      <td>402.0735</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3171.7920</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50384.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32370.19</td>\n",
       "      <td>4791.317</td>\n",
       "      <td>11190.490</td>\n",
       "      <td>3662.594</td>\n",
       "      <td>718.69780</td>\n",
       "      <td>967.4778</td>\n",
       "      <td>460.7037</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3259.9400</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>51008.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>33350.88</td>\n",
       "      <td>5258.505</td>\n",
       "      <td>11160.730</td>\n",
       "      <td>3671.965</td>\n",
       "      <td>750.57300</td>\n",
       "      <td>959.5004</td>\n",
       "      <td>443.4520</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3322.0720</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50670.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>33731.34</td>\n",
       "      <td>5480.782</td>\n",
       "      <td>11252.320</td>\n",
       "      <td>4001.552</td>\n",
       "      <td>732.70940</td>\n",
       "      <td>1023.7990</td>\n",
       "      <td>409.9683</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3336.4440</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>51324.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32848.42</td>\n",
       "      <td>5106.114</td>\n",
       "      <td>11466.940</td>\n",
       "      <td>3316.792</td>\n",
       "      <td>765.39660</td>\n",
       "      <td>999.4018</td>\n",
       "      <td>353.5006</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3172.7730</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50188.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31616.44</td>\n",
       "      <td>5117.534</td>\n",
       "      <td>11274.030</td>\n",
       "      <td>3288.616</td>\n",
       "      <td>768.48870</td>\n",
       "      <td>996.0300</td>\n",
       "      <td>339.1654</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3038.5360</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>48359.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32036.43</td>\n",
       "      <td>5265.864</td>\n",
       "      <td>11154.690</td>\n",
       "      <td>3666.550</td>\n",
       "      <td>807.89810</td>\n",
       "      <td>945.8694</td>\n",
       "      <td>335.2274</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2969.2770</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>47560.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32238.21</td>\n",
       "      <td>5303.123</td>\n",
       "      <td>11025.550</td>\n",
       "      <td>3678.609</td>\n",
       "      <td>863.61990</td>\n",
       "      <td>970.5442</td>\n",
       "      <td>359.1560</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3041.4840</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>48076.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30669.33</td>\n",
       "      <td>5192.965</td>\n",
       "      <td>10743.960</td>\n",
       "      <td>3407.883</td>\n",
       "      <td>770.83070</td>\n",
       "      <td>900.6548</td>\n",
       "      <td>271.8192</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2986.3610</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>46655.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31755.00</td>\n",
       "      <td>5584.000</td>\n",
       "      <td>11520.000</td>\n",
       "      <td>3632.000</td>\n",
       "      <td>1104.00000</td>\n",
       "      <td>1020.0000</td>\n",
       "      <td>400.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2708.2000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>39499.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>47016.83</td>\n",
       "      <td>6366.123</td>\n",
       "      <td>13662.440</td>\n",
       "      <td>4992.071</td>\n",
       "      <td>1203.24600</td>\n",
       "      <td>1595.0000</td>\n",
       "      <td>1354.3510</td>\n",
       "      <td>147.37410</td>\n",
       "      <td>5887.5090</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>81425.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49809.49</td>\n",
       "      <td>6546.822</td>\n",
       "      <td>14612.070</td>\n",
       "      <td>5242.959</td>\n",
       "      <td>1270.85400</td>\n",
       "      <td>1749.4870</td>\n",
       "      <td>1470.7430</td>\n",
       "      <td>148.54140</td>\n",
       "      <td>6026.9280</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>82539.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49058.76</td>\n",
       "      <td>6360.455</td>\n",
       "      <td>14457.070</td>\n",
       "      <td>5030.855</td>\n",
       "      <td>1226.77600</td>\n",
       "      <td>1754.3570</td>\n",
       "      <td>1310.3080</td>\n",
       "      <td>147.06940</td>\n",
       "      <td>6264.9120</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>85443.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49965.54</td>\n",
       "      <td>6472.855</td>\n",
       "      <td>14888.100</td>\n",
       "      <td>5063.139</td>\n",
       "      <td>1291.34300</td>\n",
       "      <td>1795.4270</td>\n",
       "      <td>1296.6970</td>\n",
       "      <td>134.51490</td>\n",
       "      <td>6573.7410</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>87770.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>50504.26</td>\n",
       "      <td>6630.480</td>\n",
       "      <td>15289.130</td>\n",
       "      <td>5423.318</td>\n",
       "      <td>1284.44800</td>\n",
       "      <td>1795.4270</td>\n",
       "      <td>1259.9490</td>\n",
       "      <td>120.74510</td>\n",
       "      <td>6464.2370</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>88865.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52188.49</td>\n",
       "      <td>6611.597</td>\n",
       "      <td>15734.320</td>\n",
       "      <td>5614.832</td>\n",
       "      <td>1333.94100</td>\n",
       "      <td>1756.5010</td>\n",
       "      <td>1220.6330</td>\n",
       "      <td>103.00700</td>\n",
       "      <td>6642.2340</td>\n",
       "      <td>33.88121</td>\n",
       "      <td>92706.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52938.49</td>\n",
       "      <td>6581.393</td>\n",
       "      <td>15965.810</td>\n",
       "      <td>5460.777</td>\n",
       "      <td>1504.31800</td>\n",
       "      <td>1875.3160</td>\n",
       "      <td>1158.7320</td>\n",
       "      <td>99.67112</td>\n",
       "      <td>6803.7370</td>\n",
       "      <td>254.10780</td>\n",
       "      <td>95290.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>51701.70</td>\n",
       "      <td>6503.541</td>\n",
       "      <td>15544.130</td>\n",
       "      <td>5317.541</td>\n",
       "      <td>1480.11600</td>\n",
       "      <td>1784.1140</td>\n",
       "      <td>1031.5960</td>\n",
       "      <td>73.09182</td>\n",
       "      <td>7041.7650</td>\n",
       "      <td>241.23450</td>\n",
       "      <td>96087.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52938.05</td>\n",
       "      <td>6767.447</td>\n",
       "      <td>16032.390</td>\n",
       "      <td>5480.610</td>\n",
       "      <td>1605.50500</td>\n",
       "      <td>1731.9980</td>\n",
       "      <td>973.0333</td>\n",
       "      <td>58.38200</td>\n",
       "      <td>7257.6120</td>\n",
       "      <td>170.28080</td>\n",
       "      <td>101549.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53401.27</td>\n",
       "      <td>6557.350</td>\n",
       "      <td>15899.640</td>\n",
       "      <td>5543.884</td>\n",
       "      <td>1513.68900</td>\n",
       "      <td>1680.8250</td>\n",
       "      <td>922.4044</td>\n",
       "      <td>29.17775</td>\n",
       "      <td>7349.7590</td>\n",
       "      <td>189.21100</td>\n",
       "      <td>103658.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>55723.07</td>\n",
       "      <td>6852.968</td>\n",
       "      <td>17165.820</td>\n",
       "      <td>5989.148</td>\n",
       "      <td>1542.34500</td>\n",
       "      <td>1759.8880</td>\n",
       "      <td>944.4423</td>\n",
       "      <td>19.47580</td>\n",
       "      <td>7551.2650</td>\n",
       "      <td>224.72250</td>\n",
       "      <td>104917.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>56839.99</td>\n",
       "      <td>7564.158</td>\n",
       "      <td>17411.500</td>\n",
       "      <td>5946.156</td>\n",
       "      <td>1573.05700</td>\n",
       "      <td>1836.1350</td>\n",
       "      <td>898.8898</td>\n",
       "      <td>11.63002</td>\n",
       "      <td>7553.1870</td>\n",
       "      <td>179.77800</td>\n",
       "      <td>106743.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>57435.91</td>\n",
       "      <td>7798.121</td>\n",
       "      <td>17205.590</td>\n",
       "      <td>6454.820</td>\n",
       "      <td>1744.54600</td>\n",
       "      <td>1962.6140</td>\n",
       "      <td>872.2731</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7635.6610</td>\n",
       "      <td>226.79100</td>\n",
       "      <td>106784.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>54960.55</td>\n",
       "      <td>7413.151</td>\n",
       "      <td>16676.700</td>\n",
       "      <td>5234.858</td>\n",
       "      <td>1822.05300</td>\n",
       "      <td>1920.2480</td>\n",
       "      <td>785.5560</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7638.7940</td>\n",
       "      <td>218.21000</td>\n",
       "      <td>106470.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53413.72</td>\n",
       "      <td>7285.616</td>\n",
       "      <td>16514.410</td>\n",
       "      <td>5237.744</td>\n",
       "      <td>1793.46700</td>\n",
       "      <td>1807.4510</td>\n",
       "      <td>718.8544</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7360.4080</td>\n",
       "      <td>148.46260</td>\n",
       "      <td>102044.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53114.79</td>\n",
       "      <td>7263.260</td>\n",
       "      <td>16299.730</td>\n",
       "      <td>5656.962</td>\n",
       "      <td>1868.89300</td>\n",
       "      <td>1699.8230</td>\n",
       "      <td>712.3582</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7157.8010</td>\n",
       "      <td>104.75860</td>\n",
       "      <td>101555.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>54837.12</td>\n",
       "      <td>7484.706</td>\n",
       "      <td>16449.900</td>\n",
       "      <td>5913.740</td>\n",
       "      <td>2023.09300</td>\n",
       "      <td>1725.5790</td>\n",
       "      <td>806.0452</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7288.7450</td>\n",
       "      <td>121.71010</td>\n",
       "      <td>102811.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53065.41</td>\n",
       "      <td>7413.333</td>\n",
       "      <td>16280.760</td>\n",
       "      <td>5554.038</td>\n",
       "      <td>2000.00000</td>\n",
       "      <td>1582.2310</td>\n",
       "      <td>588.2656</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7171.5650</td>\n",
       "      <td>121.71010</td>\n",
       "      <td>100466.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>56812.00</td>\n",
       "      <td>8237.334</td>\n",
       "      <td>17764.000</td>\n",
       "      <td>6030.000</td>\n",
       "      <td>3082.66700</td>\n",
       "      <td>1960.0000</td>\n",
       "      <td>740.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7738.0000</td>\n",
       "      <td>200.00000</td>\n",
       "      <td>95000.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           thirds  median_total_expend  median_food  median_housing  \\\n",
       "0     Lower Third             16186.45     3167.614        5674.843   \n",
       "1     Lower Third             17045.12     3353.184        6136.958   \n",
       "2     Lower Third             16194.86     3174.551        5999.362   \n",
       "3     Lower Third             16469.64     3147.648        6141.948   \n",
       "4     Lower Third             17796.78     3412.361        6336.492   \n",
       "5     Lower Third             17619.35     3320.342        6412.185   \n",
       "6     Lower Third             17852.68     3303.402        6403.517   \n",
       "7     Lower Third             17726.51     3239.312        6837.439   \n",
       "8     Lower Third             17417.29     3162.359        6510.437   \n",
       "9     Lower Third             17401.50     3074.680        6716.992   \n",
       "10    Lower Third             18651.59     3206.498        7186.978   \n",
       "11    Lower Third             19438.81     3782.088        7334.940   \n",
       "12    Lower Third             19507.30     3825.949        7273.666   \n",
       "13    Lower Third             18797.70     3578.644        7331.856   \n",
       "14    Lower Third             18262.34     3627.782        7070.955   \n",
       "15    Lower Third             18425.46     3626.741        7343.226   \n",
       "16    Lower Third             18364.26     3742.353        7073.458   \n",
       "17    Lower Third             17541.92     3466.667        6896.907   \n",
       "18    Lower Third             22659.60     4680.000        9178.000   \n",
       "19   Middle Third             27325.57     4365.264        8825.062   \n",
       "20   Middle Third             29123.73     4533.262        9215.065   \n",
       "21   Middle Third             28895.03     4476.887        9374.164   \n",
       "22   Middle Third             29151.19     4465.893        9620.503   \n",
       "23   Middle Third             29921.51     4567.314        9869.599   \n",
       "24   Middle Third             29900.36     4558.060        9828.154   \n",
       "25   Middle Third             31044.35     4523.119       10198.120   \n",
       "26   Middle Third             30369.04     4460.282       10486.060   \n",
       "27   Middle Third             30471.75     4694.886       10319.020   \n",
       "28   Middle Third             31177.30     4499.016       10506.540   \n",
       "29   Middle Third             32370.19     4791.317       11190.490   \n",
       "30   Middle Third             33350.88     5258.505       11160.730   \n",
       "31   Middle Third             33731.34     5480.782       11252.320   \n",
       "32   Middle Third             32848.42     5106.114       11466.940   \n",
       "33   Middle Third             31616.44     5117.534       11274.030   \n",
       "34   Middle Third             32036.43     5265.864       11154.690   \n",
       "35   Middle Third             32238.21     5303.123       11025.550   \n",
       "36   Middle Third             30669.33     5192.965       10743.960   \n",
       "37   Middle Third             31755.00     5584.000       11520.000   \n",
       "38  Highest Third             47016.83     6366.123       13662.440   \n",
       "39  Highest Third             49809.49     6546.822       14612.070   \n",
       "40  Highest Third             49058.76     6360.455       14457.070   \n",
       "41  Highest Third             49965.54     6472.855       14888.100   \n",
       "42  Highest Third             50504.26     6630.480       15289.130   \n",
       "43  Highest Third             52188.49     6611.597       15734.320   \n",
       "44  Highest Third             52938.49     6581.393       15965.810   \n",
       "45  Highest Third             51701.70     6503.541       15544.130   \n",
       "46  Highest Third             52938.05     6767.447       16032.390   \n",
       "47  Highest Third             53401.27     6557.350       15899.640   \n",
       "48  Highest Third             55723.07     6852.968       17165.820   \n",
       "49  Highest Third             56839.99     7564.158       17411.500   \n",
       "50  Highest Third             57435.91     7798.121       17205.590   \n",
       "51  Highest Third             54960.55     7413.151       16676.700   \n",
       "52  Highest Third             53413.72     7285.616       16514.410   \n",
       "53  Highest Third             53114.79     7263.260       16299.730   \n",
       "54  Highest Third             54837.12     7484.706       16449.900   \n",
       "55  Highest Third             53065.41     7413.333       16280.760   \n",
       "56  Highest Third             56812.00     8237.334       17764.000   \n",
       "\n",
       "    median_transportation  median_healthcare  median_entertainment  \\\n",
       "0                1208.842            0.00000              386.1579   \n",
       "1                1413.894           46.76302              462.1286   \n",
       "2                1201.116           10.76119              442.2290   \n",
       "3                1233.700           26.90297              467.2310   \n",
       "4                1484.495           78.74680              514.7571   \n",
       "5                1423.004            0.00000              479.4166   \n",
       "6                1353.690           24.91778              465.9622   \n",
       "7                1495.067            0.00000              463.4707   \n",
       "8                1542.070            0.00000              452.4605   \n",
       "9                1560.991            0.00000              463.5671   \n",
       "10               1773.709            0.00000              497.5600   \n",
       "11               1865.196            0.00000              539.3339   \n",
       "12               1962.614            0.00000              549.5320   \n",
       "13               1623.482            0.00000              523.7744   \n",
       "14               1631.428            0.00000              530.7769   \n",
       "15               1864.702            0.00000              468.3719   \n",
       "16               1838.277            0.00000              468.8222   \n",
       "17               1668.381            0.00000              420.0000   \n",
       "18               2312.000          140.00000              672.0000   \n",
       "19               3015.674          610.01760              777.9124   \n",
       "20               3139.280          687.69150              896.7496   \n",
       "21               2964.573          622.39640              873.5389   \n",
       "22               2980.849          677.95490              887.7980   \n",
       "23               3281.117          692.97190              908.2131   \n",
       "24               3183.878          700.44750              894.4519   \n",
       "25               3201.759          792.81640              955.4454   \n",
       "26               3239.311          749.19440              907.0078   \n",
       "27               3201.280          744.37040              904.9210   \n",
       "28               3453.102          695.50630              931.8647   \n",
       "29               3662.594          718.69780              967.4778   \n",
       "30               3671.965          750.57300              959.5004   \n",
       "31               4001.552          732.70940             1023.7990   \n",
       "32               3316.792          765.39660              999.4018   \n",
       "33               3288.616          768.48870              996.0300   \n",
       "34               3666.550          807.89810              945.8694   \n",
       "35               3678.609          863.61990              970.5442   \n",
       "36               3407.883          770.83070              900.6548   \n",
       "37               3632.000         1104.00000             1020.0000   \n",
       "38               4992.071         1203.24600             1595.0000   \n",
       "39               5242.959         1270.85400             1749.4870   \n",
       "40               5030.855         1226.77600             1754.3570   \n",
       "41               5063.139         1291.34300             1795.4270   \n",
       "42               5423.318         1284.44800             1795.4270   \n",
       "43               5614.832         1333.94100             1756.5010   \n",
       "44               5460.777         1504.31800             1875.3160   \n",
       "45               5317.541         1480.11600             1784.1140   \n",
       "46               5480.610         1605.50500             1731.9980   \n",
       "47               5543.884         1513.68900             1680.8250   \n",
       "48               5989.148         1542.34500             1759.8880   \n",
       "49               5946.156         1573.05700             1836.1350   \n",
       "50               6454.820         1744.54600             1962.6140   \n",
       "51               5234.858         1822.05300             1920.2480   \n",
       "52               5237.744         1793.46700             1807.4510   \n",
       "53               5656.962         1868.89300             1699.8230   \n",
       "54               5913.740         2023.09300             1725.5790   \n",
       "55               5554.038         2000.00000             1582.2310   \n",
       "56               6030.000         3082.66700             1960.0000   \n",
       "\n",
       "    median_apparal  median_reading  median_retirement_pension  \\\n",
       "0         402.9474         0.00000                   420.8672   \n",
       "1         436.7694         0.00000                   501.3747   \n",
       "2         382.1732         0.00000                   522.7584   \n",
       "3         376.6416         0.00000                   593.6587   \n",
       "4         367.4851         0.00000                   580.8434   \n",
       "5         339.9231         0.00000                   647.9749   \n",
       "6         304.9294         0.00000                   681.0090   \n",
       "7         254.1614         0.00000                   667.7969   \n",
       "8         209.2021         0.00000                   814.3961   \n",
       "9         236.5138         0.00000                   819.7566   \n",
       "10        230.3519         0.00000                   881.0958   \n",
       "11        224.7229         0.00000                   946.0820   \n",
       "12        218.0683         0.00000                   834.1111   \n",
       "13        183.2964         0.00000                   775.0819   \n",
       "14        171.7293         0.00000                   684.4130   \n",
       "15        167.6137         0.00000                   648.9445   \n",
       "16        164.4990         0.00000                   709.4020   \n",
       "17        121.7101         0.00000                   620.7216   \n",
       "18        180.0000         0.00000                   894.9000   \n",
       "19        696.3297        55.96492                  2335.0350   \n",
       "20        770.2144        54.59618                  2609.1010   \n",
       "21        709.7503        43.67694                  2611.0620   \n",
       "22        715.6190        32.28357                  2573.2690   \n",
       "23        661.4731        20.99915                  2711.5150   \n",
       "24        618.0419         0.00000                  2758.0120   \n",
       "25        609.8588         0.00000                  2915.8870   \n",
       "26        498.3556         0.00000                  2859.3150   \n",
       "27        462.1908         0.00000                  3212.8340   \n",
       "28        402.0735         0.00000                  3171.7920   \n",
       "29        460.7037         0.00000                  3259.9400   \n",
       "30        443.4520         0.00000                  3322.0720   \n",
       "31        409.9683         0.00000                  3336.4440   \n",
       "32        353.5006         0.00000                  3172.7730   \n",
       "33        339.1654         0.00000                  3038.5360   \n",
       "34        335.2274         0.00000                  2969.2770   \n",
       "35        359.1560         0.00000                  3041.4840   \n",
       "36        271.8192         0.00000                  2986.3610   \n",
       "37        400.0000         0.00000                  2708.2000   \n",
       "38       1354.3510       147.37410                  5887.5090   \n",
       "39       1470.7430       148.54140                  6026.9280   \n",
       "40       1310.3080       147.06940                  6264.9120   \n",
       "41       1296.6970       134.51490                  6573.7410   \n",
       "42       1259.9490       120.74510                  6464.2370   \n",
       "43       1220.6330       103.00700                  6642.2340   \n",
       "44       1158.7320        99.67112                  6803.7370   \n",
       "45       1031.5960        73.09182                  7041.7650   \n",
       "46        973.0333        58.38200                  7257.6120   \n",
       "47        922.4044        29.17775                  7349.7590   \n",
       "48        944.4423        19.47580                  7551.2650   \n",
       "49        898.8898        11.63002                  7553.1870   \n",
       "50        872.2731         0.00000                  7635.6610   \n",
       "51        785.5560         0.00000                  7638.7940   \n",
       "52        718.8544         0.00000                  7360.4080   \n",
       "53        712.3582         0.00000                  7157.8010   \n",
       "54        806.0452         0.00000                  7288.7450   \n",
       "55        588.2656         0.00000                  7171.5650   \n",
       "56        740.0000         0.00000                  7738.0000   \n",
       "\n",
       "    median_cash_contrib  median_income  \n",
       "0               0.00000       14548.08  \n",
       "1               0.00000       15696.40  \n",
       "2               0.00000       15794.67  \n",
       "3               0.00000       16141.78  \n",
       "4               0.00000       15880.60  \n",
       "5               0.00000       16738.64  \n",
       "6               0.00000       17162.80  \n",
       "7               0.00000       17442.45  \n",
       "8               0.00000       19867.88  \n",
       "9               0.00000       20316.07  \n",
       "10              0.00000       20686.98  \n",
       "11              0.00000       20998.07  \n",
       "12              0.00000       20138.39  \n",
       "13              0.00000       19801.89  \n",
       "14              0.00000       18868.76  \n",
       "15              0.00000       18656.45  \n",
       "16              0.00000       18711.76  \n",
       "17              0.00000       17036.88  \n",
       "18              0.00000       15525.50  \n",
       "19              0.00000       38547.23  \n",
       "20              0.00000       41261.48  \n",
       "21              0.00000       40947.13  \n",
       "22              0.00000       41699.61  \n",
       "23              0.00000       42023.23  \n",
       "24              0.00000       43931.20  \n",
       "25              0.00000       44856.71  \n",
       "26              0.00000       44976.59  \n",
       "27              0.00000       50455.66  \n",
       "28              0.00000       50384.77  \n",
       "29              0.00000       51008.88  \n",
       "30              0.00000       50670.42  \n",
       "31              0.00000       51324.77  \n",
       "32              0.00000       50188.30  \n",
       "33              0.00000       48359.19  \n",
       "34              0.00000       47560.39  \n",
       "35              0.00000       48076.48  \n",
       "36              0.00000       46655.54  \n",
       "37              0.00000       39499.00  \n",
       "38              0.00000       81425.81  \n",
       "39              0.00000       82539.48  \n",
       "40              0.00000       85443.02  \n",
       "41              0.00000       87770.95  \n",
       "42              0.00000       88865.77  \n",
       "43             33.88121       92706.29  \n",
       "44            254.10780       95290.43  \n",
       "45            241.23450       96087.04  \n",
       "46            170.28080      101549.40  \n",
       "47            189.21100      103658.30  \n",
       "48            224.72250      104917.70  \n",
       "49            179.77800      106743.20  \n",
       "50            226.79100      106784.80  \n",
       "51            218.21000      106470.70  \n",
       "52            148.46260      102044.70  \n",
       "53            104.75860      101555.80  \n",
       "54            121.71010      102811.90  \n",
       "55            121.71010      100466.40  \n",
       "56            200.00000       95000.00  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We'll be looking at median values for now\n",
    "df = df[['thirds','median_total_expend', 'median_food','median_housing', 'median_transportation', 'median_healthcare',\n",
    "         'median_entertainment', 'median_apparal', 'median_reading','median_retirement_pension',\n",
    "         'median_cash_contrib', 'median_income']]\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = range(1996, 2015)\n",
    "df.index = 3*x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>thirds</th>\n",
       "      <th>median_total_expend</th>\n",
       "      <th>median_food</th>\n",
       "      <th>median_housing</th>\n",
       "      <th>median_transportation</th>\n",
       "      <th>median_healthcare</th>\n",
       "      <th>median_entertainment</th>\n",
       "      <th>median_apparal</th>\n",
       "      <th>median_reading</th>\n",
       "      <th>median_retirement_pension</th>\n",
       "      <th>median_cash_contrib</th>\n",
       "      <th>median_income</th>\n",
       "      <th>housing+food</th>\n",
       "      <th>housing+food+transport</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16186.45</td>\n",
       "      <td>3167.614</td>\n",
       "      <td>5674.843</td>\n",
       "      <td>1208.842</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>386.1579</td>\n",
       "      <td>402.9474</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>420.8672</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>14548.08</td>\n",
       "      <td>8842.457</td>\n",
       "      <td>10051.299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17045.12</td>\n",
       "      <td>3353.184</td>\n",
       "      <td>6136.958</td>\n",
       "      <td>1413.894</td>\n",
       "      <td>46.76302</td>\n",
       "      <td>462.1286</td>\n",
       "      <td>436.7694</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>501.3747</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15696.40</td>\n",
       "      <td>9490.142</td>\n",
       "      <td>10904.036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16194.86</td>\n",
       "      <td>3174.551</td>\n",
       "      <td>5999.362</td>\n",
       "      <td>1201.116</td>\n",
       "      <td>10.76119</td>\n",
       "      <td>442.2290</td>\n",
       "      <td>382.1732</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>522.7584</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15794.67</td>\n",
       "      <td>9173.913</td>\n",
       "      <td>10375.029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>16469.64</td>\n",
       "      <td>3147.648</td>\n",
       "      <td>6141.948</td>\n",
       "      <td>1233.700</td>\n",
       "      <td>26.90297</td>\n",
       "      <td>467.2310</td>\n",
       "      <td>376.6416</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>593.6587</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>16141.78</td>\n",
       "      <td>9289.596</td>\n",
       "      <td>10523.296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17796.78</td>\n",
       "      <td>3412.361</td>\n",
       "      <td>6336.492</td>\n",
       "      <td>1484.495</td>\n",
       "      <td>78.74680</td>\n",
       "      <td>514.7571</td>\n",
       "      <td>367.4851</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>580.8434</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15880.60</td>\n",
       "      <td>9748.853</td>\n",
       "      <td>11233.348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17619.35</td>\n",
       "      <td>3320.342</td>\n",
       "      <td>6412.185</td>\n",
       "      <td>1423.004</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>479.4166</td>\n",
       "      <td>339.9231</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>647.9749</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>16738.64</td>\n",
       "      <td>9732.527</td>\n",
       "      <td>11155.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17852.68</td>\n",
       "      <td>3303.402</td>\n",
       "      <td>6403.517</td>\n",
       "      <td>1353.690</td>\n",
       "      <td>24.91778</td>\n",
       "      <td>465.9622</td>\n",
       "      <td>304.9294</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>681.0090</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17162.80</td>\n",
       "      <td>9706.919</td>\n",
       "      <td>11060.609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17726.51</td>\n",
       "      <td>3239.312</td>\n",
       "      <td>6837.439</td>\n",
       "      <td>1495.067</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>463.4707</td>\n",
       "      <td>254.1614</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>667.7969</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17442.45</td>\n",
       "      <td>10076.751</td>\n",
       "      <td>11571.818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17417.29</td>\n",
       "      <td>3162.359</td>\n",
       "      <td>6510.437</td>\n",
       "      <td>1542.070</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>452.4605</td>\n",
       "      <td>209.2021</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>814.3961</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>19867.88</td>\n",
       "      <td>9672.796</td>\n",
       "      <td>11214.866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17401.50</td>\n",
       "      <td>3074.680</td>\n",
       "      <td>6716.992</td>\n",
       "      <td>1560.991</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>463.5671</td>\n",
       "      <td>236.5138</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>819.7566</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20316.07</td>\n",
       "      <td>9791.672</td>\n",
       "      <td>11352.663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18651.59</td>\n",
       "      <td>3206.498</td>\n",
       "      <td>7186.978</td>\n",
       "      <td>1773.709</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>497.5600</td>\n",
       "      <td>230.3519</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>881.0958</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20686.98</td>\n",
       "      <td>10393.476</td>\n",
       "      <td>12167.185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>19438.81</td>\n",
       "      <td>3782.088</td>\n",
       "      <td>7334.940</td>\n",
       "      <td>1865.196</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>539.3339</td>\n",
       "      <td>224.7229</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>946.0820</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20998.07</td>\n",
       "      <td>11117.028</td>\n",
       "      <td>12982.224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>19507.30</td>\n",
       "      <td>3825.949</td>\n",
       "      <td>7273.666</td>\n",
       "      <td>1962.614</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>549.5320</td>\n",
       "      <td>218.0683</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>834.1111</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>20138.39</td>\n",
       "      <td>11099.615</td>\n",
       "      <td>13062.229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18797.70</td>\n",
       "      <td>3578.644</td>\n",
       "      <td>7331.856</td>\n",
       "      <td>1623.482</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>523.7744</td>\n",
       "      <td>183.2964</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>775.0819</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>19801.89</td>\n",
       "      <td>10910.500</td>\n",
       "      <td>12533.982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18262.34</td>\n",
       "      <td>3627.782</td>\n",
       "      <td>7070.955</td>\n",
       "      <td>1631.428</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>530.7769</td>\n",
       "      <td>171.7293</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>684.4130</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18868.76</td>\n",
       "      <td>10698.737</td>\n",
       "      <td>12330.165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18425.46</td>\n",
       "      <td>3626.741</td>\n",
       "      <td>7343.226</td>\n",
       "      <td>1864.702</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>468.3719</td>\n",
       "      <td>167.6137</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>648.9445</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18656.45</td>\n",
       "      <td>10969.967</td>\n",
       "      <td>12834.669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>18364.26</td>\n",
       "      <td>3742.353</td>\n",
       "      <td>7073.458</td>\n",
       "      <td>1838.277</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>468.8222</td>\n",
       "      <td>164.4990</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>709.4020</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>18711.76</td>\n",
       "      <td>10815.811</td>\n",
       "      <td>12654.088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>17541.92</td>\n",
       "      <td>3466.667</td>\n",
       "      <td>6896.907</td>\n",
       "      <td>1668.381</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>420.0000</td>\n",
       "      <td>121.7101</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>620.7216</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>17036.88</td>\n",
       "      <td>10363.574</td>\n",
       "      <td>12031.955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>Lower Third</td>\n",
       "      <td>22659.60</td>\n",
       "      <td>4680.000</td>\n",
       "      <td>9178.000</td>\n",
       "      <td>2312.000</td>\n",
       "      <td>140.00000</td>\n",
       "      <td>672.0000</td>\n",
       "      <td>180.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>894.9000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>15525.50</td>\n",
       "      <td>13858.000</td>\n",
       "      <td>16170.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>27325.57</td>\n",
       "      <td>4365.264</td>\n",
       "      <td>8825.062</td>\n",
       "      <td>3015.674</td>\n",
       "      <td>610.01760</td>\n",
       "      <td>777.9124</td>\n",
       "      <td>696.3297</td>\n",
       "      <td>55.96492</td>\n",
       "      <td>2335.0350</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>38547.23</td>\n",
       "      <td>13190.326</td>\n",
       "      <td>16206.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29123.73</td>\n",
       "      <td>4533.262</td>\n",
       "      <td>9215.065</td>\n",
       "      <td>3139.280</td>\n",
       "      <td>687.69150</td>\n",
       "      <td>896.7496</td>\n",
       "      <td>770.2144</td>\n",
       "      <td>54.59618</td>\n",
       "      <td>2609.1010</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>41261.48</td>\n",
       "      <td>13748.327</td>\n",
       "      <td>16887.607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>28895.03</td>\n",
       "      <td>4476.887</td>\n",
       "      <td>9374.164</td>\n",
       "      <td>2964.573</td>\n",
       "      <td>622.39640</td>\n",
       "      <td>873.5389</td>\n",
       "      <td>709.7503</td>\n",
       "      <td>43.67694</td>\n",
       "      <td>2611.0620</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>40947.13</td>\n",
       "      <td>13851.051</td>\n",
       "      <td>16815.624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29151.19</td>\n",
       "      <td>4465.893</td>\n",
       "      <td>9620.503</td>\n",
       "      <td>2980.849</td>\n",
       "      <td>677.95490</td>\n",
       "      <td>887.7980</td>\n",
       "      <td>715.6190</td>\n",
       "      <td>32.28357</td>\n",
       "      <td>2573.2690</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>41699.61</td>\n",
       "      <td>14086.396</td>\n",
       "      <td>17067.245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29921.51</td>\n",
       "      <td>4567.314</td>\n",
       "      <td>9869.599</td>\n",
       "      <td>3281.117</td>\n",
       "      <td>692.97190</td>\n",
       "      <td>908.2131</td>\n",
       "      <td>661.4731</td>\n",
       "      <td>20.99915</td>\n",
       "      <td>2711.5150</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>42023.23</td>\n",
       "      <td>14436.913</td>\n",
       "      <td>17718.030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>29900.36</td>\n",
       "      <td>4558.060</td>\n",
       "      <td>9828.154</td>\n",
       "      <td>3183.878</td>\n",
       "      <td>700.44750</td>\n",
       "      <td>894.4519</td>\n",
       "      <td>618.0419</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2758.0120</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>43931.20</td>\n",
       "      <td>14386.214</td>\n",
       "      <td>17570.092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31044.35</td>\n",
       "      <td>4523.119</td>\n",
       "      <td>10198.120</td>\n",
       "      <td>3201.759</td>\n",
       "      <td>792.81640</td>\n",
       "      <td>955.4454</td>\n",
       "      <td>609.8588</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2915.8870</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>44856.71</td>\n",
       "      <td>14721.239</td>\n",
       "      <td>17922.998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30369.04</td>\n",
       "      <td>4460.282</td>\n",
       "      <td>10486.060</td>\n",
       "      <td>3239.311</td>\n",
       "      <td>749.19440</td>\n",
       "      <td>907.0078</td>\n",
       "      <td>498.3556</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2859.3150</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>44976.59</td>\n",
       "      <td>14946.342</td>\n",
       "      <td>18185.653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30471.75</td>\n",
       "      <td>4694.886</td>\n",
       "      <td>10319.020</td>\n",
       "      <td>3201.280</td>\n",
       "      <td>744.37040</td>\n",
       "      <td>904.9210</td>\n",
       "      <td>462.1908</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3212.8340</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50455.66</td>\n",
       "      <td>15013.906</td>\n",
       "      <td>18215.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31177.30</td>\n",
       "      <td>4499.016</td>\n",
       "      <td>10506.540</td>\n",
       "      <td>3453.102</td>\n",
       "      <td>695.50630</td>\n",
       "      <td>931.8647</td>\n",
       "      <td>402.0735</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3171.7920</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50384.77</td>\n",
       "      <td>15005.556</td>\n",
       "      <td>18458.658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32370.19</td>\n",
       "      <td>4791.317</td>\n",
       "      <td>11190.490</td>\n",
       "      <td>3662.594</td>\n",
       "      <td>718.69780</td>\n",
       "      <td>967.4778</td>\n",
       "      <td>460.7037</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3259.9400</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>51008.88</td>\n",
       "      <td>15981.807</td>\n",
       "      <td>19644.401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>33350.88</td>\n",
       "      <td>5258.505</td>\n",
       "      <td>11160.730</td>\n",
       "      <td>3671.965</td>\n",
       "      <td>750.57300</td>\n",
       "      <td>959.5004</td>\n",
       "      <td>443.4520</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3322.0720</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50670.42</td>\n",
       "      <td>16419.235</td>\n",
       "      <td>20091.200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>33731.34</td>\n",
       "      <td>5480.782</td>\n",
       "      <td>11252.320</td>\n",
       "      <td>4001.552</td>\n",
       "      <td>732.70940</td>\n",
       "      <td>1023.7990</td>\n",
       "      <td>409.9683</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3336.4440</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>51324.77</td>\n",
       "      <td>16733.102</td>\n",
       "      <td>20734.654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32848.42</td>\n",
       "      <td>5106.114</td>\n",
       "      <td>11466.940</td>\n",
       "      <td>3316.792</td>\n",
       "      <td>765.39660</td>\n",
       "      <td>999.4018</td>\n",
       "      <td>353.5006</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3172.7730</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>50188.30</td>\n",
       "      <td>16573.054</td>\n",
       "      <td>19889.846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31616.44</td>\n",
       "      <td>5117.534</td>\n",
       "      <td>11274.030</td>\n",
       "      <td>3288.616</td>\n",
       "      <td>768.48870</td>\n",
       "      <td>996.0300</td>\n",
       "      <td>339.1654</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3038.5360</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>48359.19</td>\n",
       "      <td>16391.564</td>\n",
       "      <td>19680.180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32036.43</td>\n",
       "      <td>5265.864</td>\n",
       "      <td>11154.690</td>\n",
       "      <td>3666.550</td>\n",
       "      <td>807.89810</td>\n",
       "      <td>945.8694</td>\n",
       "      <td>335.2274</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2969.2770</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>47560.39</td>\n",
       "      <td>16420.554</td>\n",
       "      <td>20087.104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>32238.21</td>\n",
       "      <td>5303.123</td>\n",
       "      <td>11025.550</td>\n",
       "      <td>3678.609</td>\n",
       "      <td>863.61990</td>\n",
       "      <td>970.5442</td>\n",
       "      <td>359.1560</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>3041.4840</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>48076.48</td>\n",
       "      <td>16328.673</td>\n",
       "      <td>20007.282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>30669.33</td>\n",
       "      <td>5192.965</td>\n",
       "      <td>10743.960</td>\n",
       "      <td>3407.883</td>\n",
       "      <td>770.83070</td>\n",
       "      <td>900.6548</td>\n",
       "      <td>271.8192</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2986.3610</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>46655.54</td>\n",
       "      <td>15936.925</td>\n",
       "      <td>19344.808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>Middle Third</td>\n",
       "      <td>31755.00</td>\n",
       "      <td>5584.000</td>\n",
       "      <td>11520.000</td>\n",
       "      <td>3632.000</td>\n",
       "      <td>1104.00000</td>\n",
       "      <td>1020.0000</td>\n",
       "      <td>400.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>2708.2000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>39499.00</td>\n",
       "      <td>17104.000</td>\n",
       "      <td>20736.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>47016.83</td>\n",
       "      <td>6366.123</td>\n",
       "      <td>13662.440</td>\n",
       "      <td>4992.071</td>\n",
       "      <td>1203.24600</td>\n",
       "      <td>1595.0000</td>\n",
       "      <td>1354.3510</td>\n",
       "      <td>147.37410</td>\n",
       "      <td>5887.5090</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>81425.81</td>\n",
       "      <td>20028.563</td>\n",
       "      <td>25020.634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49809.49</td>\n",
       "      <td>6546.822</td>\n",
       "      <td>14612.070</td>\n",
       "      <td>5242.959</td>\n",
       "      <td>1270.85400</td>\n",
       "      <td>1749.4870</td>\n",
       "      <td>1470.7430</td>\n",
       "      <td>148.54140</td>\n",
       "      <td>6026.9280</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>82539.48</td>\n",
       "      <td>21158.892</td>\n",
       "      <td>26401.851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49058.76</td>\n",
       "      <td>6360.455</td>\n",
       "      <td>14457.070</td>\n",
       "      <td>5030.855</td>\n",
       "      <td>1226.77600</td>\n",
       "      <td>1754.3570</td>\n",
       "      <td>1310.3080</td>\n",
       "      <td>147.06940</td>\n",
       "      <td>6264.9120</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>85443.02</td>\n",
       "      <td>20817.525</td>\n",
       "      <td>25848.380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>49965.54</td>\n",
       "      <td>6472.855</td>\n",
       "      <td>14888.100</td>\n",
       "      <td>5063.139</td>\n",
       "      <td>1291.34300</td>\n",
       "      <td>1795.4270</td>\n",
       "      <td>1296.6970</td>\n",
       "      <td>134.51490</td>\n",
       "      <td>6573.7410</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>87770.95</td>\n",
       "      <td>21360.955</td>\n",
       "      <td>26424.094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>50504.26</td>\n",
       "      <td>6630.480</td>\n",
       "      <td>15289.130</td>\n",
       "      <td>5423.318</td>\n",
       "      <td>1284.44800</td>\n",
       "      <td>1795.4270</td>\n",
       "      <td>1259.9490</td>\n",
       "      <td>120.74510</td>\n",
       "      <td>6464.2370</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>88865.77</td>\n",
       "      <td>21919.610</td>\n",
       "      <td>27342.928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52188.49</td>\n",
       "      <td>6611.597</td>\n",
       "      <td>15734.320</td>\n",
       "      <td>5614.832</td>\n",
       "      <td>1333.94100</td>\n",
       "      <td>1756.5010</td>\n",
       "      <td>1220.6330</td>\n",
       "      <td>103.00700</td>\n",
       "      <td>6642.2340</td>\n",
       "      <td>33.88121</td>\n",
       "      <td>92706.29</td>\n",
       "      <td>22345.917</td>\n",
       "      <td>27960.749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52938.49</td>\n",
       "      <td>6581.393</td>\n",
       "      <td>15965.810</td>\n",
       "      <td>5460.777</td>\n",
       "      <td>1504.31800</td>\n",
       "      <td>1875.3160</td>\n",
       "      <td>1158.7320</td>\n",
       "      <td>99.67112</td>\n",
       "      <td>6803.7370</td>\n",
       "      <td>254.10780</td>\n",
       "      <td>95290.43</td>\n",
       "      <td>22547.203</td>\n",
       "      <td>28007.980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>51701.70</td>\n",
       "      <td>6503.541</td>\n",
       "      <td>15544.130</td>\n",
       "      <td>5317.541</td>\n",
       "      <td>1480.11600</td>\n",
       "      <td>1784.1140</td>\n",
       "      <td>1031.5960</td>\n",
       "      <td>73.09182</td>\n",
       "      <td>7041.7650</td>\n",
       "      <td>241.23450</td>\n",
       "      <td>96087.04</td>\n",
       "      <td>22047.671</td>\n",
       "      <td>27365.212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>52938.05</td>\n",
       "      <td>6767.447</td>\n",
       "      <td>16032.390</td>\n",
       "      <td>5480.610</td>\n",
       "      <td>1605.50500</td>\n",
       "      <td>1731.9980</td>\n",
       "      <td>973.0333</td>\n",
       "      <td>58.38200</td>\n",
       "      <td>7257.6120</td>\n",
       "      <td>170.28080</td>\n",
       "      <td>101549.40</td>\n",
       "      <td>22799.837</td>\n",
       "      <td>28280.447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53401.27</td>\n",
       "      <td>6557.350</td>\n",
       "      <td>15899.640</td>\n",
       "      <td>5543.884</td>\n",
       "      <td>1513.68900</td>\n",
       "      <td>1680.8250</td>\n",
       "      <td>922.4044</td>\n",
       "      <td>29.17775</td>\n",
       "      <td>7349.7590</td>\n",
       "      <td>189.21100</td>\n",
       "      <td>103658.30</td>\n",
       "      <td>22456.990</td>\n",
       "      <td>28000.874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>55723.07</td>\n",
       "      <td>6852.968</td>\n",
       "      <td>17165.820</td>\n",
       "      <td>5989.148</td>\n",
       "      <td>1542.34500</td>\n",
       "      <td>1759.8880</td>\n",
       "      <td>944.4423</td>\n",
       "      <td>19.47580</td>\n",
       "      <td>7551.2650</td>\n",
       "      <td>224.72250</td>\n",
       "      <td>104917.70</td>\n",
       "      <td>24018.788</td>\n",
       "      <td>30007.936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>56839.99</td>\n",
       "      <td>7564.158</td>\n",
       "      <td>17411.500</td>\n",
       "      <td>5946.156</td>\n",
       "      <td>1573.05700</td>\n",
       "      <td>1836.1350</td>\n",
       "      <td>898.8898</td>\n",
       "      <td>11.63002</td>\n",
       "      <td>7553.1870</td>\n",
       "      <td>179.77800</td>\n",
       "      <td>106743.20</td>\n",
       "      <td>24975.658</td>\n",
       "      <td>30921.814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>57435.91</td>\n",
       "      <td>7798.121</td>\n",
       "      <td>17205.590</td>\n",
       "      <td>6454.820</td>\n",
       "      <td>1744.54600</td>\n",
       "      <td>1962.6140</td>\n",
       "      <td>872.2731</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7635.6610</td>\n",
       "      <td>226.79100</td>\n",
       "      <td>106784.80</td>\n",
       "      <td>25003.711</td>\n",
       "      <td>31458.531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>54960.55</td>\n",
       "      <td>7413.151</td>\n",
       "      <td>16676.700</td>\n",
       "      <td>5234.858</td>\n",
       "      <td>1822.05300</td>\n",
       "      <td>1920.2480</td>\n",
       "      <td>785.5560</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7638.7940</td>\n",
       "      <td>218.21000</td>\n",
       "      <td>106470.70</td>\n",
       "      <td>24089.851</td>\n",
       "      <td>29324.709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53413.72</td>\n",
       "      <td>7285.616</td>\n",
       "      <td>16514.410</td>\n",
       "      <td>5237.744</td>\n",
       "      <td>1793.46700</td>\n",
       "      <td>1807.4510</td>\n",
       "      <td>718.8544</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7360.4080</td>\n",
       "      <td>148.46260</td>\n",
       "      <td>102044.70</td>\n",
       "      <td>23800.026</td>\n",
       "      <td>29037.770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53114.79</td>\n",
       "      <td>7263.260</td>\n",
       "      <td>16299.730</td>\n",
       "      <td>5656.962</td>\n",
       "      <td>1868.89300</td>\n",
       "      <td>1699.8230</td>\n",
       "      <td>712.3582</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7157.8010</td>\n",
       "      <td>104.75860</td>\n",
       "      <td>101555.80</td>\n",
       "      <td>23562.990</td>\n",
       "      <td>29219.952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>54837.12</td>\n",
       "      <td>7484.706</td>\n",
       "      <td>16449.900</td>\n",
       "      <td>5913.740</td>\n",
       "      <td>2023.09300</td>\n",
       "      <td>1725.5790</td>\n",
       "      <td>806.0452</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7288.7450</td>\n",
       "      <td>121.71010</td>\n",
       "      <td>102811.90</td>\n",
       "      <td>23934.606</td>\n",
       "      <td>29848.346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>53065.41</td>\n",
       "      <td>7413.333</td>\n",
       "      <td>16280.760</td>\n",
       "      <td>5554.038</td>\n",
       "      <td>2000.00000</td>\n",
       "      <td>1582.2310</td>\n",
       "      <td>588.2656</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7171.5650</td>\n",
       "      <td>121.71010</td>\n",
       "      <td>100466.40</td>\n",
       "      <td>23694.093</td>\n",
       "      <td>29248.131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>Highest Third</td>\n",
       "      <td>56812.00</td>\n",
       "      <td>8237.334</td>\n",
       "      <td>17764.000</td>\n",
       "      <td>6030.000</td>\n",
       "      <td>3082.66700</td>\n",
       "      <td>1960.0000</td>\n",
       "      <td>740.0000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>7738.0000</td>\n",
       "      <td>200.00000</td>\n",
       "      <td>95000.00</td>\n",
       "      <td>26001.334</td>\n",
       "      <td>32031.334</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             thirds  median_total_expend  median_food  median_housing  \\\n",
       "1996    Lower Third             16186.45     3167.614        5674.843   \n",
       "1997    Lower Third             17045.12     3353.184        6136.958   \n",
       "1998    Lower Third             16194.86     3174.551        5999.362   \n",
       "1999    Lower Third             16469.64     3147.648        6141.948   \n",
       "2000    Lower Third             17796.78     3412.361        6336.492   \n",
       "2001    Lower Third             17619.35     3320.342        6412.185   \n",
       "2002    Lower Third             17852.68     3303.402        6403.517   \n",
       "2003    Lower Third             17726.51     3239.312        6837.439   \n",
       "2004    Lower Third             17417.29     3162.359        6510.437   \n",
       "2005    Lower Third             17401.50     3074.680        6716.992   \n",
       "2006    Lower Third             18651.59     3206.498        7186.978   \n",
       "2007    Lower Third             19438.81     3782.088        7334.940   \n",
       "2008    Lower Third             19507.30     3825.949        7273.666   \n",
       "2009    Lower Third             18797.70     3578.644        7331.856   \n",
       "2010    Lower Third             18262.34     3627.782        7070.955   \n",
       "2011    Lower Third             18425.46     3626.741        7343.226   \n",
       "2012    Lower Third             18364.26     3742.353        7073.458   \n",
       "2013    Lower Third             17541.92     3466.667        6896.907   \n",
       "2014    Lower Third             22659.60     4680.000        9178.000   \n",
       "1996   Middle Third             27325.57     4365.264        8825.062   \n",
       "1997   Middle Third             29123.73     4533.262        9215.065   \n",
       "1998   Middle Third             28895.03     4476.887        9374.164   \n",
       "1999   Middle Third             29151.19     4465.893        9620.503   \n",
       "2000   Middle Third             29921.51     4567.314        9869.599   \n",
       "2001   Middle Third             29900.36     4558.060        9828.154   \n",
       "2002   Middle Third             31044.35     4523.119       10198.120   \n",
       "2003   Middle Third             30369.04     4460.282       10486.060   \n",
       "2004   Middle Third             30471.75     4694.886       10319.020   \n",
       "2005   Middle Third             31177.30     4499.016       10506.540   \n",
       "2006   Middle Third             32370.19     4791.317       11190.490   \n",
       "2007   Middle Third             33350.88     5258.505       11160.730   \n",
       "2008   Middle Third             33731.34     5480.782       11252.320   \n",
       "2009   Middle Third             32848.42     5106.114       11466.940   \n",
       "2010   Middle Third             31616.44     5117.534       11274.030   \n",
       "2011   Middle Third             32036.43     5265.864       11154.690   \n",
       "2012   Middle Third             32238.21     5303.123       11025.550   \n",
       "2013   Middle Third             30669.33     5192.965       10743.960   \n",
       "2014   Middle Third             31755.00     5584.000       11520.000   \n",
       "1996  Highest Third             47016.83     6366.123       13662.440   \n",
       "1997  Highest Third             49809.49     6546.822       14612.070   \n",
       "1998  Highest Third             49058.76     6360.455       14457.070   \n",
       "1999  Highest Third             49965.54     6472.855       14888.100   \n",
       "2000  Highest Third             50504.26     6630.480       15289.130   \n",
       "2001  Highest Third             52188.49     6611.597       15734.320   \n",
       "2002  Highest Third             52938.49     6581.393       15965.810   \n",
       "2003  Highest Third             51701.70     6503.541       15544.130   \n",
       "2004  Highest Third             52938.05     6767.447       16032.390   \n",
       "2005  Highest Third             53401.27     6557.350       15899.640   \n",
       "2006  Highest Third             55723.07     6852.968       17165.820   \n",
       "2007  Highest Third             56839.99     7564.158       17411.500   \n",
       "2008  Highest Third             57435.91     7798.121       17205.590   \n",
       "2009  Highest Third             54960.55     7413.151       16676.700   \n",
       "2010  Highest Third             53413.72     7285.616       16514.410   \n",
       "2011  Highest Third             53114.79     7263.260       16299.730   \n",
       "2012  Highest Third             54837.12     7484.706       16449.900   \n",
       "2013  Highest Third             53065.41     7413.333       16280.760   \n",
       "2014  Highest Third             56812.00     8237.334       17764.000   \n",
       "\n",
       "      median_transportation  median_healthcare  median_entertainment  \\\n",
       "1996               1208.842            0.00000              386.1579   \n",
       "1997               1413.894           46.76302              462.1286   \n",
       "1998               1201.116           10.76119              442.2290   \n",
       "1999               1233.700           26.90297              467.2310   \n",
       "2000               1484.495           78.74680              514.7571   \n",
       "2001               1423.004            0.00000              479.4166   \n",
       "2002               1353.690           24.91778              465.9622   \n",
       "2003               1495.067            0.00000              463.4707   \n",
       "2004               1542.070            0.00000              452.4605   \n",
       "2005               1560.991            0.00000              463.5671   \n",
       "2006               1773.709            0.00000              497.5600   \n",
       "2007               1865.196            0.00000              539.3339   \n",
       "2008               1962.614            0.00000              549.5320   \n",
       "2009               1623.482            0.00000              523.7744   \n",
       "2010               1631.428            0.00000              530.7769   \n",
       "2011               1864.702            0.00000              468.3719   \n",
       "2012               1838.277            0.00000              468.8222   \n",
       "2013               1668.381            0.00000              420.0000   \n",
       "2014               2312.000          140.00000              672.0000   \n",
       "1996               3015.674          610.01760              777.9124   \n",
       "1997               3139.280          687.69150              896.7496   \n",
       "1998               2964.573          622.39640              873.5389   \n",
       "1999               2980.849          677.95490              887.7980   \n",
       "2000               3281.117          692.97190              908.2131   \n",
       "2001               3183.878          700.44750              894.4519   \n",
       "2002               3201.759          792.81640              955.4454   \n",
       "2003               3239.311          749.19440              907.0078   \n",
       "2004               3201.280          744.37040              904.9210   \n",
       "2005               3453.102          695.50630              931.8647   \n",
       "2006               3662.594          718.69780              967.4778   \n",
       "2007               3671.965          750.57300              959.5004   \n",
       "2008               4001.552          732.70940             1023.7990   \n",
       "2009               3316.792          765.39660              999.4018   \n",
       "2010               3288.616          768.48870              996.0300   \n",
       "2011               3666.550          807.89810              945.8694   \n",
       "2012               3678.609          863.61990              970.5442   \n",
       "2013               3407.883          770.83070              900.6548   \n",
       "2014               3632.000         1104.00000             1020.0000   \n",
       "1996               4992.071         1203.24600             1595.0000   \n",
       "1997               5242.959         1270.85400             1749.4870   \n",
       "1998               5030.855         1226.77600             1754.3570   \n",
       "1999               5063.139         1291.34300             1795.4270   \n",
       "2000               5423.318         1284.44800             1795.4270   \n",
       "2001               5614.832         1333.94100             1756.5010   \n",
       "2002               5460.777         1504.31800             1875.3160   \n",
       "2003               5317.541         1480.11600             1784.1140   \n",
       "2004               5480.610         1605.50500             1731.9980   \n",
       "2005               5543.884         1513.68900             1680.8250   \n",
       "2006               5989.148         1542.34500             1759.8880   \n",
       "2007               5946.156         1573.05700             1836.1350   \n",
       "2008               6454.820         1744.54600             1962.6140   \n",
       "2009               5234.858         1822.05300             1920.2480   \n",
       "2010               5237.744         1793.46700             1807.4510   \n",
       "2011               5656.962         1868.89300             1699.8230   \n",
       "2012               5913.740         2023.09300             1725.5790   \n",
       "2013               5554.038         2000.00000             1582.2310   \n",
       "2014               6030.000         3082.66700             1960.0000   \n",
       "\n",
       "      median_apparal  median_reading  median_retirement_pension  \\\n",
       "1996        402.9474         0.00000                   420.8672   \n",
       "1997        436.7694         0.00000                   501.3747   \n",
       "1998        382.1732         0.00000                   522.7584   \n",
       "1999        376.6416         0.00000                   593.6587   \n",
       "2000        367.4851         0.00000                   580.8434   \n",
       "2001        339.9231         0.00000                   647.9749   \n",
       "2002        304.9294         0.00000                   681.0090   \n",
       "2003        254.1614         0.00000                   667.7969   \n",
       "2004        209.2021         0.00000                   814.3961   \n",
       "2005        236.5138         0.00000                   819.7566   \n",
       "2006        230.3519         0.00000                   881.0958   \n",
       "2007        224.7229         0.00000                   946.0820   \n",
       "2008        218.0683         0.00000                   834.1111   \n",
       "2009        183.2964         0.00000                   775.0819   \n",
       "2010        171.7293         0.00000                   684.4130   \n",
       "2011        167.6137         0.00000                   648.9445   \n",
       "2012        164.4990         0.00000                   709.4020   \n",
       "2013        121.7101         0.00000                   620.7216   \n",
       "2014        180.0000         0.00000                   894.9000   \n",
       "1996        696.3297        55.96492                  2335.0350   \n",
       "1997        770.2144        54.59618                  2609.1010   \n",
       "1998        709.7503        43.67694                  2611.0620   \n",
       "1999        715.6190        32.28357                  2573.2690   \n",
       "2000        661.4731        20.99915                  2711.5150   \n",
       "2001        618.0419         0.00000                  2758.0120   \n",
       "2002        609.8588         0.00000                  2915.8870   \n",
       "2003        498.3556         0.00000                  2859.3150   \n",
       "2004        462.1908         0.00000                  3212.8340   \n",
       "2005        402.0735         0.00000                  3171.7920   \n",
       "2006        460.7037         0.00000                  3259.9400   \n",
       "2007        443.4520         0.00000                  3322.0720   \n",
       "2008        409.9683         0.00000                  3336.4440   \n",
       "2009        353.5006         0.00000                  3172.7730   \n",
       "2010        339.1654         0.00000                  3038.5360   \n",
       "2011        335.2274         0.00000                  2969.2770   \n",
       "2012        359.1560         0.00000                  3041.4840   \n",
       "2013        271.8192         0.00000                  2986.3610   \n",
       "2014        400.0000         0.00000                  2708.2000   \n",
       "1996       1354.3510       147.37410                  5887.5090   \n",
       "1997       1470.7430       148.54140                  6026.9280   \n",
       "1998       1310.3080       147.06940                  6264.9120   \n",
       "1999       1296.6970       134.51490                  6573.7410   \n",
       "2000       1259.9490       120.74510                  6464.2370   \n",
       "2001       1220.6330       103.00700                  6642.2340   \n",
       "2002       1158.7320        99.67112                  6803.7370   \n",
       "2003       1031.5960        73.09182                  7041.7650   \n",
       "2004        973.0333        58.38200                  7257.6120   \n",
       "2005        922.4044        29.17775                  7349.7590   \n",
       "2006        944.4423        19.47580                  7551.2650   \n",
       "2007        898.8898        11.63002                  7553.1870   \n",
       "2008        872.2731         0.00000                  7635.6610   \n",
       "2009        785.5560         0.00000                  7638.7940   \n",
       "2010        718.8544         0.00000                  7360.4080   \n",
       "2011        712.3582         0.00000                  7157.8010   \n",
       "2012        806.0452         0.00000                  7288.7450   \n",
       "2013        588.2656         0.00000                  7171.5650   \n",
       "2014        740.0000         0.00000                  7738.0000   \n",
       "\n",
       "      median_cash_contrib  median_income  housing+food  housing+food+transport  \n",
       "1996              0.00000       14548.08      8842.457               10051.299  \n",
       "1997              0.00000       15696.40      9490.142               10904.036  \n",
       "1998              0.00000       15794.67      9173.913               10375.029  \n",
       "1999              0.00000       16141.78      9289.596               10523.296  \n",
       "2000              0.00000       15880.60      9748.853               11233.348  \n",
       "2001              0.00000       16738.64      9732.527               11155.531  \n",
       "2002              0.00000       17162.80      9706.919               11060.609  \n",
       "2003              0.00000       17442.45     10076.751               11571.818  \n",
       "2004              0.00000       19867.88      9672.796               11214.866  \n",
       "2005              0.00000       20316.07      9791.672               11352.663  \n",
       "2006              0.00000       20686.98     10393.476               12167.185  \n",
       "2007              0.00000       20998.07     11117.028               12982.224  \n",
       "2008              0.00000       20138.39     11099.615               13062.229  \n",
       "2009              0.00000       19801.89     10910.500               12533.982  \n",
       "2010              0.00000       18868.76     10698.737               12330.165  \n",
       "2011              0.00000       18656.45     10969.967               12834.669  \n",
       "2012              0.00000       18711.76     10815.811               12654.088  \n",
       "2013              0.00000       17036.88     10363.574               12031.955  \n",
       "2014              0.00000       15525.50     13858.000               16170.000  \n",
       "1996              0.00000       38547.23     13190.326               16206.000  \n",
       "1997              0.00000       41261.48     13748.327               16887.607  \n",
       "1998              0.00000       40947.13     13851.051               16815.624  \n",
       "1999              0.00000       41699.61     14086.396               17067.245  \n",
       "2000              0.00000       42023.23     14436.913               17718.030  \n",
       "2001              0.00000       43931.20     14386.214               17570.092  \n",
       "2002              0.00000       44856.71     14721.239               17922.998  \n",
       "2003              0.00000       44976.59     14946.342               18185.653  \n",
       "2004              0.00000       50455.66     15013.906               18215.186  \n",
       "2005              0.00000       50384.77     15005.556               18458.658  \n",
       "2006              0.00000       51008.88     15981.807               19644.401  \n",
       "2007              0.00000       50670.42     16419.235               20091.200  \n",
       "2008              0.00000       51324.77     16733.102               20734.654  \n",
       "2009              0.00000       50188.30     16573.054               19889.846  \n",
       "2010              0.00000       48359.19     16391.564               19680.180  \n",
       "2011              0.00000       47560.39     16420.554               20087.104  \n",
       "2012              0.00000       48076.48     16328.673               20007.282  \n",
       "2013              0.00000       46655.54     15936.925               19344.808  \n",
       "2014              0.00000       39499.00     17104.000               20736.000  \n",
       "1996              0.00000       81425.81     20028.563               25020.634  \n",
       "1997              0.00000       82539.48     21158.892               26401.851  \n",
       "1998              0.00000       85443.02     20817.525               25848.380  \n",
       "1999              0.00000       87770.95     21360.955               26424.094  \n",
       "2000              0.00000       88865.77     21919.610               27342.928  \n",
       "2001             33.88121       92706.29     22345.917               27960.749  \n",
       "2002            254.10780       95290.43     22547.203               28007.980  \n",
       "2003            241.23450       96087.04     22047.671               27365.212  \n",
       "2004            170.28080      101549.40     22799.837               28280.447  \n",
       "2005            189.21100      103658.30     22456.990               28000.874  \n",
       "2006            224.72250      104917.70     24018.788               30007.936  \n",
       "2007            179.77800      106743.20     24975.658               30921.814  \n",
       "2008            226.79100      106784.80     25003.711               31458.531  \n",
       "2009            218.21000      106470.70     24089.851               29324.709  \n",
       "2010            148.46260      102044.70     23800.026               29037.770  \n",
       "2011            104.75860      101555.80     23562.990               29219.952  \n",
       "2012            121.71010      102811.90     23934.606               29848.346  \n",
       "2013            121.71010      100466.40     23694.093               29248.131  \n",
       "2014            200.00000       95000.00     26001.334               32031.334  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['housing+food'] = df['median_housing'] + df['median_food']\n",
    "df['housing+food+transport'] = df['median_housing'] + df['median_food'] + df['median_transportation']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Create three data frames for lower, middle and highest thirds. Reset index and drop old one.\n",
    "lower = df[df['thirds'] == 'Lower Third'].reset_index(drop=True)\n",
    "middle = df[df['thirds'] == 'Middle Third'].reset_index(drop=True)\n",
    "highest = df[df['thirds'] == 'Highest Third'].reset_index(drop=True)\n",
    "\n",
    "# Set index to years\n",
    "lower.index = range(1996, 2015)\n",
    "middle.index = range(1996, 2015)\n",
    "highest.index = range(1996, 2015)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hcODzzz+HwWCA1+uFVqvFV199deBJR/QTGex2O7766ivo9Xp4vV4YjUY8ePAA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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115616290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ==== Design the figure ==== #\n",
    "\n",
    "# Set general plot properties\n",
    "sns.set_context({\"figure.figsize\": (3, 8)})\n",
    "sns.set_color_codes(palette='muted')\n",
    "fig, ax = plt.subplots(figsize=(11, 8))\n",
    "ax.grid(True,linestyle='-',color='0.9')\n",
    "ax.set_ylim([0,df['median_income'].max()])\n",
    "ax.axes.get_xaxis().set_visible(False)\n",
    "ylim = df['median_income'].max() + 10000\n",
    "\n",
    "# Bigger font sizes for plots\n",
    "mpl.rcParams.update({'font.size': 18})\n",
    "mpl.rc('xtick', labelsize=10) \n",
    "mpl.rc('ytick', labelsize=18) \n",
    "mpl.rc('labelsize: large')\n",
    "\n",
    "# ==== Make legend ==== #\n",
    "\n",
    "leg1 = plt.Rectangle((0,0),1,1,fc=\"navy\", edgecolor = 'none')\n",
    "leg2 = plt.Rectangle((0,0),1,1,fc='skyblue',  edgecolor = 'none')\n",
    "leg3 = plt.Rectangle((0,0),1,1,fc='g', edgecolor='none')\n",
    "leg4 = plt.Rectangle((0,0),1,1,fc='r', edgecolor='none')\n",
    "\n",
    "l = plt.legend([leg1, leg2, leg3, leg4], ['Housing', 'Food', 'Transportation', 'Income'],\n",
    "               bbox_to_anchor=(.8,1.01), ncol = 4, prop={'size':16})\n",
    "l.draw_frame(False)\n",
    "\n",
    "# Format y axis ticks\n",
    "def thousands(x, pos):\n",
    "    'The two args are the value and tick position'\n",
    "    return '$%iK' % (x*1e-3)\n",
    "formatter = FuncFormatter(thousands)\n",
    "ax.yaxis.set_major_formatter(formatter)\n",
    "\n",
    "# ==== Plot the data ==== #\n",
    "\n",
    "# Lower plot\n",
    "ax1=fig.add_subplot(131)\n",
    "# Bar 1 - background - \"total\" (top) series\n",
    "top_plot = sns.barplot(x = lower.index, y = lower['housing+food+transport'], color='g')\n",
    "# Bar 2 - overlay - \"middle\" series\n",
    "middle_plot = sns.barplot(x = lower.index, y = lower['housing+food'], color = \"skyblue\")\n",
    "# Bar 3 - overlay - \"bottom\" series\n",
    "bottom_plot = sns.barplot(x = lower.index, y = lower['median_housing'], color = \"navy\")\n",
    "# Line\n",
    "income_line = plt.plot(lower['median_income'],'--', color='r')\n",
    "# Set axes\n",
    "ax1.set_ylim([0,ylim])\n",
    "ax1.axes.get_yaxis().set_visible(False)\n",
    "ax1.set_axis_off()\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "# Middle plot\n",
    "ax2=fig.add_subplot(132)\n",
    "top_plot = sns.barplot(x = middle.index, y = middle['housing+food+transport'], color='g')\n",
    "# Bar 2 - overlay - \"middle\" series\n",
    "middle_plot = sns.barplot(x = middle.index, y = middle['housing+food'], color = \"skyblue\")\n",
    "# Bar 3 - overlay - \"bottom\" series\n",
    "bottom_plot = sns.barplot(x = middle.index, y = middle['median_housing'], color = \"navy\")\n",
    "# Line\n",
    "income_line = plt.plot(middle['median_income'],'--', color='r')\n",
    "# Set axes\n",
    "ax2.set_ylim([0,ylim])\n",
    "ax2.axes.get_yaxis().set_visible(False)\n",
    "ax2.set_axis_off()\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "# Highest plot\n",
    "ax3=fig.add_subplot(133)\n",
    "top_plot = sns.barplot(x = highest.index, y = highest['housing+food+transport'], color='g')\n",
    "# Bar 2 - overlay - \"middle\" series\n",
    "middle_plot = sns.barplot(x = highest.index, y = highest['housing+food'], color = \"skyblue\")\n",
    "# Bar 3 - overlay - \"bottom\" series\n",
    "bottom_plot = sns.barplot(x = highest.index, y = highest['median_housing'], color = \"navy\")\n",
    "# Line\n",
    "income_line = plt.plot(highest['median_income'],'--', color='r')\n",
    "# Set axes\n",
    "ax3.set_ylim([0,ylim])\n",
    "ax3.axes.get_yaxis().set_visible(False)\n",
    "ax3.set_axis_off()\n",
    "plt.xticks(rotation=90)\n",
    "\n",
    "\n",
    "# ==== Add text ==== #\n",
    "\n",
    "# Title\n",
    "title = ax.annotate(\"Rising rent costs are devastating to low-income families\",\n",
    "            (0,0), (-75, 550), textcoords='offset points', color='gray', fontsize=26, fontweight='heavy')\n",
    "\n",
    "# Subtitle\n",
    "ax.annotate(\"Median incomes and costs of housing, food and transportation across income\",\n",
    "            (0,0), (-75, 525), textcoords='offset points', color='gray', fontsize=16, style='italic')\n",
    "ax.annotate(\"groups from 1996 to 2014. Figures adjusted for inflation.\",\n",
    "            (0,0), (-75, 505), textcoords='offset points', color='gray', fontsize=16, style='italic')\n",
    "\n",
    "# Plot 1 annotations\n",
    "ax1.annotate(\"'96\", (0,0), (0, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "ax1.annotate(\"'14\", (0,0), (198, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "lower_annotate = ax1.annotate(\"Lower\", (0,0), (70, -20), xycoords='axes fraction', textcoords='offset points',\n",
    "            va='top', color='gray', fontsize=22, fontweight='bold')\n",
    "\n",
    "# Plot 2 annotations\n",
    "ax2.annotate(\"'96\", (0,0), (0, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "ax2.annotate(\"'14\", (0,0), (198, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "ax2.annotate(\"Middle\", (0,0), (70, -20), xycoords='axes fraction', textcoords='offset points',\n",
    "            va='top', color='gray', fontsize=22, fontweight='bold')\n",
    "\n",
    "# Plot 3 annotations\n",
    "ax3.annotate(\"'96\", (0,0), (0, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "ax3.annotate(\"'14\", (0,0), (198, -5), xycoords='axes fraction', textcoords='offset points',\n",
    "             va='top', color='gray')\n",
    "ax3.annotate(\"Upper\", (0,0), (70, -20), xycoords='axes fraction', textcoords='offset points',\n",
    "            va='top', color='gray', fontsize=22, fontweight='bold')\n",
    "\n",
    "# Source annotations\n",
    "source_annotate = ax.annotate(\"Vox Media, March 2016. Data visualization by Will Geary.\",\n",
    "            (0,0), (-75, -75), textcoords='offset points', color='gray', fontsize=14, style='italic')\n",
    "\n",
    "#ax.set_position([0.0,0.0,0.0,0.0])\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig('/Users/Will/personal-website/assets/2016-05-26-fig3.png', \n",
    "            bbox_extra_artists=(l,title, lower_annotate, source_annotate),\n",
    "            bbox_inches='tight')"
   ]
  },
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   "outputs": [],
   "source": []
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