final_project_v2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xlrd\n",
    "import pandas as pd\n",
    "import csv\n",
    "import sqlite3\n",
    "import matplotlib\n",
    "matplotlib.use(\"svg\")\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "if not os.environ.get(\"DISABLE_TESTING\", False):\n",
    "    %matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "import numpy as np\n",
    "import re\n",
    "from sklearn import linear_model\n",
    "import statsmodels.api as sm\n",
    "pd.set_option('display.max_columns', 20)\n",
    "pd.set_option('display.max_rows', 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Load graduation_rate_total \n",
    "conn = sqlite3.connect(\":memory:\")\n",
    "cursor = conn.cursor()\n",
    "\n",
    "cursor.execute(\"\"\"\n",
    "CREATE TABLE GRAD_RATE_TOTAL(\n",
    "    region_id INTEGER,\n",
    "    region_name TEXT,\n",
    "    region_type TEXT,\n",
    "    year INTEGER,\n",
    "    variable TEXT,\n",
    "    percentage REAL  \n",
    ");\"\"\")\n",
    "\n",
    "conn.commit()\n",
    "\n",
    "\n",
    "with open (\"graduation_rates_total.csv\",encoding='latin-1') as grad_rate:\n",
    "    data = csv.reader(grad_rate)\n",
    "    counter = 0\n",
    "    for row in data:\n",
    "        if counter >= 1:\n",
    "            cursor.execute(\"INSERT INTO GRAD_RATE_TOTAL VALUES (?,?,?,?,?,?)\",tuple(row))\n",
    "        counter += 1\n",
    "        \n",
    "conn.commit()\n",
    "\n",
    "\n",
    "\n",
    "#pd.read_sql_query(\"SELECT * from GRAD_RATE_TOTAL;\", conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "fin_df = pd.read_excel(\"financial_data.xls\", sheet_name=[\"14\",\"15\",\"16\",\"17\",\"18\"], skiprow=5)\n",
    "fin_df_pps = fin_df[\"18\"].fillna(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print(fin_df[\"18\"].columns)\n",
    "per_pupil_spending = pd.DataFrame([], columns=[\"Rank\", \"School System\", \"State\", \"Enrollment\", \"Instruction_Total\", \n",
    "                              \"Instruction_Salaries\", \"Instruction_EmployeeBenefits\", \"Support_Total\", \n",
    "                              \"Support_Pupil\", \"Support_Staff\",\"Support_GeneralAdmin\", \"Support_SchoolAdmin\"])\n",
    "per_pupil_spending[\"Rank\"] = [i for i in range(100)]\n",
    "per_pupil_spending[\"School System\"] = [i for i in fin_df_pps[\"Unnamed: 2\"][4:] if i !=\"School System\" and i != -1]\n",
    "per_pupil_spending[\"State\"] = [i for i in fin_df_pps[\"Unnamed: 3\"][4:] if i !=\"State\" and i != -1]\n",
    "per_pupil_spending[\"Enrollment\"] = [int(i) for i in fin_df_pps[\"Unnamed: 4\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Instruction_Total\"] = [int(i) for i in fin_df_pps[\"Unnamed: 8\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Instruction_Salaries\"] = [int(i) for i in fin_df_pps[\"Unnamed: 9\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Instruction_EmployeeBenefits\"] = [int(i) for i in fin_df_pps[\"Unnamed: 10\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Support_Total\"] = [int(i) for i in fin_df_pps[\"Unnamed: 11\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Support_Pupil\"] = [int(i) for i in fin_df_pps[\"Unnamed: 12\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Support_Staff\"] = [int(i) for i in fin_df_pps[\"Unnamed: 13\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Support_GeneralAdmin\"] = [int(i) for i in fin_df_pps[\"Unnamed: 14\"] if i != -1 and type(i) != str]\n",
    "per_pupil_spending[\"Support_SchoolAdmin\"] = [int(i) for i in fin_df_pps[\"Unnamed: 15\"] if i != -1 and type(i) != str]\n",
    "\n",
    "#per_pupil_spending.to_csv(index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Finance sheet 17\n",
    "fin_df_percent_dist_rev = fin_df[\"17\"].fillna(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "percent_dist_rev = pd.DataFrame([], columns=[\"Rank\",\"School System\",\"State\",\"Enrollment\",\"Overall Total Percentage\",\n",
    "                                             \"Federal Total Percentage\",\"Federal Title I\",\"State Total Percentage\",\n",
    "                                             \"State General Formula Assistance\",\"Local Total Percentage\",\n",
    "                                             \"Local Taxes Parent Government Contributions\",\"Other Local Government\",\n",
    "                                            \"Charges\"])\n",
    "\n",
    "percent_dist_rev[\"Rank\"] = [i for i in range(100)]\n",
    "percent_dist_rev[\"School System\"] = [i for i in fin_df_percent_dist_rev[\"Unnamed: 2\"][4:] if i !=\"School System\" and i != -1]\n",
    "percent_dist_rev[\"State\"] = [i for i in fin_df_percent_dist_rev[\"Unnamed: 3\"][4:] if i !=\"State\" and i != -1]\n",
    "percent_dist_rev[\"Enrollment\"] = [int(i) for i in fin_df_percent_dist_rev[\"Unnamed: 4\"] if i != -1 and type(i) != str]\n",
    "percent_dist_rev[\"Overall Total Percentage\"] = [float(i) for i in fin_df_percent_dist_rev[\"Unnamed: 5\"][4:] if i !=\"Total\" and i != -1]\n",
    "percent_dist_rev[\"Federal Total Percentage\"] = [float(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 6\"]) if i !=\"Federal sources\" and i != \"Total2\" and i != -1]\n",
    "percent_dist_rev[\"Federal Title I\"] = [float(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 7\"]) if i !=\"Federal sources\" and i != \"Title I\" and i != -1]\n",
    "percent_dist_rev[\"State Total Percentage\"] = [float(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 8\"]) if i !=\"State sources\" and i != \"Total2\" and i != -1]\n",
    "percent_dist_rev[\"State General Formula Assistance\"] = [float(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 9\"]) if i !=\"State sources\" and i != \"General\" and i !=\"formula\" and i != \"assistance\" and i != -1]\n",
    "percent_dist_rev[\"Local Total Percentage\"] = [float(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 10\"]) if i !=\"Local sources\" and i != \"Total2\" and i != -1]\n",
    "\n",
    "#This function changes the (Z) to zeros  \n",
    "def changeZ(i):\n",
    "    try:\n",
    "        return (float(i))\n",
    "    except:\n",
    "        return(0.0)\n",
    "\n",
    "percent_dist_rev[\"Local Taxes Parent Government Contributions\"] = [changeZ(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 11\"]) if i !=\"Local sources\" and i != -1 and i!=\"Taxes and\" and i != \"parent\" and i != \"government\" and i != \"contributions\"]\n",
    "percent_dist_rev[\"Other Local Government\"] = [changeZ(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 12\"]) if i !=\"Local sources\" and i != -1 and i!=\"Other\" and i != \"local\" and i != \"governments\"]\n",
    "percent_dist_rev[\"Charges\"] = [changeZ(i) for i in (fin_df_percent_dist_rev[\"Unnamed: 13\"]) if i !=\"Local sources\" and i != -1 and i!=\"Charges\"]\n",
    "\n",
    "\n",
    "#percent_dist_rev.to_csv(index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Finance sheet 16\n",
    "fin_df_expenditure = fin_df[\"16\"].fillna(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Finance Sheet 16\n",
    "expenditure = pd.DataFrame([], columns=[\"Rank\",\"School System\",\"State\",\"Enrollment\",\n",
    "                                       \"Elementary_secondary Expenditure Total\", \"Selected Objects Salaries\",\n",
    "                                       \"Selected Objects Employee Benfits\",\"Instruction Salaries\",\"Instruction Employee Benefits\",\n",
    "                                       \"Support Services Pupil Support\",\"Support Services Instructive Staff Support\",\n",
    "                                       \"Support Services General Administration\",\"Support Services School Administration\",\n",
    "                                       \"Support Services Other and Nonspecified\",\"Other Current Spending\",\"Capital Outlay\",\n",
    "                                       \"Inter-governmental\",\"Interest On Debt\"])\n",
    "\n",
    "expenditure[\"Rank\"] = [i for i in range(100)]\n",
    "expenditure[\"School System\"] = percent_dist_rev[\"School System\"]\n",
    "expenditure[\"State\"] = percent_dist_rev[\"State\"]\n",
    "expenditure[\"Enrollment\"] = percent_dist_rev[\"Enrollment\"]\n",
    "expenditure[\"Elementary_secondary Expenditure Total\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 5\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Total\" and i != -1 and i != \"Elementary-secondary expenditure\"]\n",
    "expenditure[\"Selected Objects Salaries\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 7\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"For selected objects\" and i != -1 and i != \"Salaries and\" and i != \"wages\"]\n",
    "expenditure[\"Selected Objects Employee Benfits\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 8\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i != -1 and i != \"Employee\" and i != \"benefits\"]\n",
    "expenditure[\"Instruction Salaries\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 10\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i != -1 and i != \"Salaries and\" and i != \"wages\"]\n",
    "expenditure[\"Instruction Employee Benefits\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 11\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i != -1 and i != \"Employee\" and i != \"benefits\"]\n",
    "expenditure[\"Support Services Pupil Support\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 5\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Pupil\" and i != \"support\"]\n",
    "expenditure[\"Support Services Instructive Staff Support\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 6\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Instructional\" and i != \"staff\" and i != \"support\"]\n",
    "expenditure[\"Support Services General Administration\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 7\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"General\" and i != \"adminis-\" and i != \"tration\"]\n",
    "expenditure[\"Support Services School Administration\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 8\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"School\" and i != \"adminis-\" and i != \"tration\"]\n",
    "expenditure[\"Support Services Other and Nonspecified\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 9\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Other and\" and i != \"nonspecified\"]\n",
    "expenditure[\"Other Current Spending\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 10\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Other\" and i != \"current\" and i != \"spending\"]\n",
    "expenditure[\"Capital Outlay\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 11\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Capital\" and i != \"outlay\"]\n",
    "expenditure[\"Inter-governmental\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 12\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Inter-\" and i != \"governmental\"]\n",
    "expenditure[\"Interest On Debt\"] = [int(i) for i in fin_df_expenditure[\"Unnamed: 13\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i != -1 and i != \"Interest\" and i != \"on debt\"]\n",
    "\n",
    "\n",
    "#expenditure.to_csv(index=False, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#load grad_rate_total.csv using pandas\n",
    "grad_rate = pd.read_csv(\"graduation_rates_total.csv\",encoding='latin-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#only take the grad rate of the most recent year \n",
    "#generate a new data frame\n",
    "new_frame = []\n",
    "grad_rate_sort_year = grad_rate.sort_values(by='year',ascending=False)\n",
    "grad_rate_sort_year_sorted = grad_rate_sort_year.groupby([\"name\"])\n",
    "for g in grad_rate_sort_year_sorted:\n",
    "    new_frame.append(g[1].iloc[0,:])\n",
    "\n",
    "\n",
    "reduced_grad_rate = pd.DataFrame(new_frame)\n",
    "#new grad rate data frame with the most recent grad rate\n",
    "reduced_grad_rate = reduced_grad_rate.reset_index().drop([\"index\"],axis=1)\n",
    "\n",
    "\n",
    "#collect the counties and states separately in the grad rate data \n",
    "#for matching purposes\n",
    "county = []\n",
    "state = []\n",
    "\n",
    "for name in reduced_grad_rate[\"name\"]:\n",
    "    county_name, state_name = name.split(\", \")\n",
    "    county.append(county_name)\n",
    "    state.append(state_name)\n",
    "    \n",
    "#change all the county name to ones without the trailing \"county\"\n",
    "tmp = []\n",
    "for i in range(len(county)):\n",
    "        c = county[i]\n",
    "        k = [j for j in c.split(\" County\") if j != \"\"]\n",
    "        tmp = tmp+k\n",
    "        \n",
    "county = tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "school_system = per_pupil_spending[\"School System\"]\n",
    "\n",
    "#list of indices for the per_pupil_spending data frame \n",
    "#names can be found in grad rate data\n",
    "school_final_ind = []\n",
    "\n",
    "#indices of the grad rate data that match up the per pupil spending\n",
    "grad_rate_ind = []\n",
    "\n",
    "#graduation rate in order of the per pupil spending data frame\n",
    "grad_rate_values = []\n",
    "\n",
    "for i in range(len(per_pupil_spending)):\n",
    "    school = school_system[i]\n",
    "    for j in range(len(county)):\n",
    "        c = county[j]\n",
    "        s = state[j]\n",
    "        if (c.lower().replace(\"'\",\"\") in school.lower().replace(\"'\",\"\") and s==per_pupil_spending[\"State\"][i]):\n",
    "            school_final_ind.append(i)\n",
    "            grad_rate_ind.append(j)\n",
    "            grad_rate_values.append(reduced_grad_rate[\"value\"][j])\n",
    "            \n",
    "per_pupil_spending_with_grad = per_pupil_spending.loc[school_final_ind,:]\n",
    "per_pupil_spending_with_grad[\"grad_rate\"] = grad_rate_values \n",
    "\n",
    "per_pupil_spending_with_grad.to_csv(\"per_pupil_spending_with_grad.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEaCAYAAAD3+OukAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3deVhTd7oH8G9ISADZCUhZBXHf6m7BShWm947WjlpbtbZqW7WVqm3VunRRrK0LvbjUZbS21RZtUUfR0dHWQdzFccV9RwVFRQhoEFmS/O4flgyBLCdkO0nez/P4PHJykvN7c5Lz5vxWAWOMgRBCiFNysXUBCCGE2A4lAUIIcWKUBAghxIlREiCEECdGSYAQQpwYJQFCCHFilASIw7h16xYEAgEOHTqk3iYQCLBu3Toblsq29u3bB4FAgDt37ljleC+99BJGjx5tlWMR86AkYAVPnz7Fl19+iWbNmsHd3R0BAQHo2rUrvvvuO1sXzWgxMTFITk426jlNmjSBQCCAQCCAm5sbWrZsiZSUFKhUKrOWLTw8HPfu3UP37t3N+rrmcvToUbz++usICQmBRCJBeHg4EhMTkZaWhqqqKlsXzyhff/01mjRpUm/7li1bsHDhQosfvybh1/zz9vZGp06dkJaWZvRr6YrFWYhsXQBnMG7cOOzduxdLlixBhw4d8PjxY5w+fRp5eXm2LhpnVVVVEIvFDX7+tGnT8PHHH+Pp06fYtm0bJk2aBIFAgE8//dRsZRQKhQgODjbb65nTmjVrMGbMGAwcOBA///wzoqOjUVpaiosXL2L16tWIjo5GXFyc1uea+t5bk7+/v1WPt23bNnTr1g1lZWVIT0/HiBEj0LhxY7z88stWLYddY8TifHx82NKlS/XuM3LkSJaQkKCxLS0tjdU+RbNmzWJNmzZl69evZ1FRUUwikbCEhASWm5tr1D6MMbZ27VrWqlUrJhaLWWhoKPv8889ZdXW1+vH4+Hj27rvvsi+++IIFBwczqVTK4uPjGQCNfzdv3jQYf2RkJJszZ47GtsTERNajRw/GGGNr1qxhQqFQ4/H8/HwGgO3du5cxxtjevXsZAPbPf/6Tde3alUkkEta6dWu2e/du9XNu3rzJALCDBw+qtwFgaWlpWsv16NEj5u7uztavX6+xvaCggLm4uLBdu3YxxhjbunUre/7555m7uzvz8fFhXbt2ZadOnTIYd407d+4wiUTCkpKSdO6jUqk0Yli3bh3761//yjw8PNjkyZOZSqVio0ePZtHR0czNzY1FRUWxGTNmsIqKCo3X+e6771hoaChzd3dnL7/8Mvv5558ZAJafn88Y4/ZeGzrWmjVr6n0OZs2axRh79rl577331K9dVVXFpk2bxkJCQpirqytr1apVvfcbAFu+fDl76623mKenJwsLC2MLFizQ+55qO9eMMebv788mTZqk8b42NJbq6mo2a9Ys1qRJE/XnbeXKlXrLZY8oCVhBy5YtWb9+/VhxcbHOfbgmAQ8PDxYXF8eOHTvGjh07xrp168bat2+vvohw2WfHjh3MxcWFzZ07l125coWlp6czX19f9sUXX6iPFR8fzzw9Pdn777/PLly4wM6ePcuKi4tZkyZN2OTJk9m9e/fYvXv3mEKhMBi/tiTQv39/1rlzZ8aYcUkgJiaGbd++nV28eJG9++67zM3Njd25c4cxZnwSYIyxoUOHspdffllj27fffsuee+45plAo2L1795irqytbsGABy83NZRcvXmTr169nZ8+eNRh3jUWLFjEA7O7duwb3rYkhNDSUpaWlsRs3brDc3FymVCrZ559/zo4ePcpu3rzJtm3bxoKDg9nMmTPVz926dSsTCoUsNTWVXblyhf3www8sKCjI6CRg6Fjl5eVs2rRpLCwsTP05kMvljLH6SWDKlCnM39+fbdy4kV25coV98803TCAQsMzMTPU+AFhQUBD7/vvv2fXr19mSJUsYAJaVlWXwfao51wqFgv32228MAJs+fbp6P1NiGTlyJGvXrh37448/WG5uLktPT2c+Pj7shx9+MHge7QklASs4dOgQi4iIYC4uLqxdu3ZszJgxbOvWreqLMmPckwAAdu3aNfW2K1euMADs3//+N+d9evbsyV5//XWNYy1evJi5ubmxyspKxtizL3OzZs2YUqnU2K9p06bqX0pc1U4CSqWS7dixg4nFYjZt2jTGmHFJoPYXsLq6mkVERLDPP/+cMdawJLBr1y4mFAo1LtDt27dnU6ZMYYwxdurUKc53PLqMGzeOeXt7a2w7e/Ysa9SokfrfN998oxHDV199ZfB1Fy5cyGJiYtR/x8XFsTfffFNjn8mTJxudBLgca86cOSwyMrLefrWTwJMnT5hYLGbLly/X2GfAgAGsd+/e6r8BsAkTJmjs06JFC42LeV0175O7uztr1KgREwqFDAALDAxkN27c0Pk8rrHk5uYygUDALl26pLF99uzZrEOHDnpf395Qw7AVxMXF4caNGzh48CBGjhyJBw8e4LXXXsOrr74KZuT8fYGBgYiJiVH/3bx5c0ilUly8eJHzPhcuXECvXr00Xjc+Ph4VFRW4ceOGelvnzp3h4mKej8icOXPg6ekJNzc3DBo0CCNHjjS6gRkAXnjhBfX/RSIRunXrphG7sf7yl78gKCgI69evBwCcOXMGZ8+exYgRIwAA7du3x//8z/+gbdu2GDhwIJYsWYL8/HyjjqHtHLdo0QI5OTnIyclBQEBAvYbhbt261XvO6tWr0b17dzRu3Bienp6YMWMGbt++rX784sWLiI2N1XhOz549jSor12Nxcf36dVRVVWn9rF24cEFj2/PPP6/xd2hoKB48eGDwGGvWrEFOTg527dqFtm3bYsWKFYiOjjY5lhMnToAxhi5dusDT01P9b+7cubh27ZrBctkTSgJWIhKJEBsbi8mTJ2Pbtm1Yu3YtduzYgQMHDgAAXFxc6l0sqqurOb02l0RSdx+BQKD18drbGzVqxOn4XHz44YfIyclBbm4unj59iu+//x5ubm4AoDXRmDN2fYRCIYYPH45ffvkFAPDLL7+gY8eOaNeunfrxXbt2ISsrC127dsXmzZvRvHlz7Nixg/MxWrRogcePH+Pu3bvqbWKxGDExMYiJiYGrq2u959R97zdt2oQPP/wQQ4YMwc6dO3H69GnMnDmz3vtU97zWxeW95nosrrR91upuq9vwLRAIOPUeCw0NRUxMDP7yl78gPT0d77zzDi5fvmxyLDXHPnLkiDpZ5+Tk4Pz58zh79qzBctkTSgI20qpVKwBAYWEhACAoKAgFBQUa+5w6dare8x4+fKjxa/3q1asoLi5Wvx6Xfdq0aYP9+/drvO6BAwfg7u5e71dUXWKxGEqlkkuIGvz9/RETE4OwsLB6F6KgoCAolUqNX37aYgeedbOsoVAocPz4cY3YG2LkyJE4f/48Tpw4gd9++w0jR47UeFwgEKBbt2747LPPcODAAcTHx2PNmjWcX3/w4MGQSCSYM2dOg8t44MABdOzYEZMmTULnzp3RrFkz3Lp1S2Of1q1b4/Dhwxrb6v7N5b3mciwun4OYmBhIJBKtn7U2bdrofW5DtGnTBv3799focdbQWDp37gwAyMvLUyfrmn9NmzY1e9ltiZKAFcTHx2PlypU4ceIEbt++jT179iApKQm+vr7o3bs3ACAxMRGXL1/GsmXLcOPGDaxevRobN26s91oeHh545513cPLkSZw4cQIjR45Eu3btkJiYyHmfGTNmYPPmzZg/fz6uXr2KjRs3Ijk5GZMnTzbYFTEqKgqHDx9GXl4eioqKzNLXv1u3bvDy8sL06dNx7do1/P777/jqq6+07jt//nzs3LkTly5dwrhx4/DgwQOMGzfOpOO3bdsWHTt2xJgxY/Dw4UMMGzZM/diRI0cwZ84c/Oc//0FeXh727NmDs2fPonXr1up9WrZsiWXLlul8/bCwMCxbtgyrV6/G4MGDsXv3buTm5uL8+fP4+9//jgcPHkAoFOotY4sWLXDu3Dls27YNN27cwJIlS7BlyxaNfSZPnowNGzZgyZIluHbtGtasWVOv3zyX95rLsaKionD//n1kZ2ejqKgI5eXl9crs4eGBiRMn4ssvv8SmTZtw7do1zJ07F9u2bcNnn32mN96G+vTTT7Fjxw518mtoLDExMXj33XcxZswYpKWl4fr16zhz5gx++uknLFiwwCJltxmbtUY4kXnz5rGePXuywMBAJpFIWHh4OBs+fDi7cOGCxn5ff/01CwkJYY0aNWJDhw5ly5Yt09pFNC0tjUVGRjKxWMx69+7Nrl+/btQ+jD3rItqyZUvm6urKQkJC2GeffVavi2jtXh41jh8/zjp16sTc3NxM6iJa144dO1jLli2Zm5sbi42NZb///rvWhuFt27axTp06MbFYzFq1asV+//139Ws0pGG4xuLFixkA9sorr2hsP3/+PPvrX//KGjduzMRiMYuIiGBTpkxRN6DXHINLY/nhw4fZoEGDWOPGjZlIJGK+vr4sPj6erVixQv16uro+VlVVsbFjxzI/Pz/m5eXFhg0bxpYuXcrqfoUXL17MQkJCmJubG0tISGBr167VaBhmzPB7zeVYVVVVbNiwYczPz88sXUTrnqOEhAQ2cuRIne+lrveJsWfdj3v27GlyLAqFgi1YsIC1aNGCubq6soCAANarVy+2ceNGneWyRwLGaGUxe5GcnIx169bh+vXrJu1jj/bt24fevXsjPz8fYWFhti4OIQ6DqoMIIcSJURIgJvnggw80utDV/meJxj9CiHlRdRAxSWFhIR4/fqz1MVdXV0RGRlq5RIQQY1ASIIQQJ0bVQYQQ4sTscirpuoOqbEEqlaKoqMjWxTA7R4zLEWMCHDMuR4wJ4EdcISEhWrfTnQAhhDgxSgKEEOLEKAkQQogToyRACCFOjJIAIYQ4MUoCRE2YlwfhyJEIGDwYvuPHQ5iXZ+siEUIszC67iBLzE+blwX/oUAhv30bNpMaup05Blp4OZUSETctGCLEcuhMgAACvlBS41llyz/X2bXilpNioRIQQa6AkQAAAwvv3tW/nsM4rIcR+URIgAABlcLD27Y0bW7kkhBBroiRAAADyqVNRXWfGz+rISMinTrVRiQgh1kANwwQAoIyIgCw9HdIlS6DIy4OycWPIp06lRmFCHBwlAaKmjIiA8uefUeyAE3gRQrSj6iBCCHFilAQIIcSJURIghBAnRkmAEEKcGCUBQghxYpQECCHEiVESIIQQJ0ZJgBBCnBglAUIIcWKUBAghxIlREiCEECdGSYAQQpwYTSBnBsK8PHilpEB4/z6UwcE0+yYhxG5QEjBRzdq8tZdmpLV5CSH2gqqDTGTNtXmFeXnwHT8eAYMHw3f8eAjz8sx+DEKIc6E7ARNZa21euuMghFiC1ZLAzp07sWfPHjDGkJCQgH79+mHjxo3Ys2cPvL29AQDDhg1Dp06drFUks7DW2rz67jhKly0z67EIIc7DKkkgLy8Pe/bswdy5cyESiTB37lz1xb5fv3549dVXrVEMi5BPnQrXU6c0LtCWWJvXWncchBDnYpUkcPfuXTRr1gwSiQQA0KpVKxw7dswah7a4mrV5vVJSIHzwwGJr81rrjoMQ4lwEjDFm6YPcuXMH3377Lb7++muIxWJ89dVXaNq0KTw9PbF//364u7sjOjoaI0aMgKenZ73nZ2ZmIjMzEwAwf/58VFVVWbrIBolEIigUCusd8OZNuPbtC0FurnoTi45G9c6dQFSU2Q5j9biswBFjAhwzLkeMCeBHXGKxWOt2qyQBAMjKysIff/wBNzc3hIaGQiwWY8CAAer2gA0bNqCkpARJSUkGX6ugoMDSxTVIKpWiyMoLsqvHI1jwjsMWcVmaI8YEOGZcjhgTwI+4QkJCtG63WsNwnz590KdPHwDAr7/+ioCAAPj6+qofT0hIwIIFC6xVHLukjIigRmBCiFlZbZzAo0ePAABFRUU4duwY4uLiUFJSon782LFjCA8Pt1ZxCCGEwIp3AqmpqZDL5RCJRHjvvffg6emJpUuX4tatWxAIBAgMDMTYsWOtVRxiQzTNBiH8YbUk8NVXX9XbNmHCBGsdnvAEDXojhF9o2ghiVdacZoMQYhglAWJVNOiNEH6hJECsiga9EcIvlARIPZacrVQ+dSqqIyM1tlWHhEDw5IlDzo5KM78SvqNZRJ0Ip145N29atOG27jQbKk9PuF64APfduy1yPFuiRnBiD+hOwAi1f9UJR460q191NRckj4wMSLKz4ZGRAf+hQ+vFIExOtnjDbc2gt9LUVIguXoTo7l2LHs9WqBGc2ANKAhzVvYgK09O1XkT5iusFSXDvntbnW2J9hIDBg+F6545VjmcL1AhO7AElAY7s/Vcd1wsSe+45rfuZu+HWe9asencAljyeLVAjOLEHlAQ4svdfdVwvSMrk5PoNtxZYH0F86pTOxyxxPFvQ2gjuILERx0ENwxzZ+686zovfREVZZX0EXVQSicM0nFprrQlCTEFJgCNrrSBmKcZckKwxW2lVp04aPYJqVMbHO9RFkmZ+JXxHSYCjuhdRUUQEZB99ZFcXLD5dkB7Png3R+fNwrbU2RHVICB7Pnm3DUhHifCgJGKH2RVQqlULpgItfWIsyIgKyzZupqoQA+O8YFpFMBl9/f/osWBE1DBObUUZEPPuyN24M4f37zxJCA7vc0shc+1W7+7XL/v06x7AQy6A7AWIz5hpRSyNz7Zu+7td8qb50ZHQnQGzGXGMv7H0Mh7Oz9+7X9o7uBIhFcJmnyFxffrqI2Dd7735t7ygJELPjWj1j7JdfV2Khi4h9s/fu1/aOkgAxO651vMZ8+fUlFrqIcMPXtZ1rd792k8lQQb2DrIqSADE7rtUzxgxgM5RYaGSufnxvPK/pfi2VSlFKXa+tipIAMTtjqme4DmAzlFj4NBCOj6gHDtGFegcRg4ztg2+JidOo3t801HhOdOF8J3Dnzh0cPXoUpaWlGD16NO7evQuFQoHIOl92YhuWqu81VI2g67jmrp6xRL0/X+vILYGSKNGFUxLIzs7Gjz/+iG7duuHw4cMYPXo0Kioq8Ouvv+LLL7+0dBmJAZas79VXjSCfOlXvcc1ZzWDuxML3OnJzo8Zzogun6qCNGzfiiy++wNixY+Hi8uwpkZGRuHXrliXLRjiy5GApfdUI1h6kVZNYijdtQumyZSZdrJ1tgFlNEi0fOBCVsbEoHzjQYRMeMQ6nO4FHjx7Vq/YRCAQQCAQWKRQxjiXre/VVI+g6ruTgQQQMHmzxKhZTqnOcsY6cGs/tlyWrLjklgejoaBw4cADx8fHqbYcPH0ZMTIxZCkFMY8n6Xn3VCLp+NQuLiiD8s5ufpapYTK3OoTpyYi8sXXUpTE5OTja0U9OmTbFixQocP34chYWFuHz5Mo4ePYqJEyfCy8vL5EIYSy6XW/2YdXl4eKC8vNzWxQAAVLdtC0lmJoSPHv13W2QkHi1aBObjU29/YV4efD7/HI1++gmSAwdQ3bater+6cTEfH1T+5S9wkcmg8vdHVZcueLRoEZQREVqPW+9Yjx7BRSZDRd++ZowY8Pn8c7gdPcrpWNrOlbHvmaXoOxeG9nXp3BnlEonVymoNfPpemZMpcRnzWddH17Wa051AaGgoFi9ejJMnT6Jz584ICAhA586d4ebmxrkAxHKMaTRtyK8KXdUI9RbauXpVfQegcUwLVLGYWp3Dh6UfjTkX2vZlZ85AuH491es7OEtXXXJKAj/99BPeffddxMbGamxfu3YtRo0aZZaCENNwre8196Ch2sf1HT8eHhkZ9fexQBWLOapzbF1Hbsy50LavIDeXBns5AUtXXXLqHbR//36t2w8cOGCWQhDrMeevirqDyJ689ZbZB4npYokBadam81zUudjr3deBG7LJM5b+rOu9E8jKygIAKJVK9f9rFBYW2qQ9gJjGXL8qdFVllC5ciEbr1lm8ioUP1Tmm0nUuXC9fhjAvz6QZV4njsPRnXcAYY7oenP3not+XLl1Cq1atNB7z8fFB37590bx5c04H2rlzJ/bs2QPGGBISEtCvXz+UlZVh0aJFePjwIQIDA/HJJ5/A09PT4GsV1Fqc3FakUimK7HCiK20X7+rISHU9NNe4dFX9lA8cyLvqCb6eK2FeHqSJiRA+eVLvsbrvo9Y2gehoFDpYmwBfz5Wp+BBXSEiI1u167wRmzZoFAEhPT8fQoUMbfPC8vDzs2bMHc+fOhUgkwty5c9GpUyfs2bMH7dq1w4ABA7B161Zs3boVb731VoOPQwwz168Kqp4wnTIiAsoWLSA8dareY1xmXBXNmwcl3Y0TE3FqGK6dABhjqH3zUDOCWJ+7d++iWbNmkPzZna1Vq1Y4duwYjh8/jpoeqvHx8UhOTrbrJGDJAR3mfG1zNIhS9YR5KCIjIdaSBLjMuCqVSgEH/NVMrItTEpDJZPjxxx9x6dIlPKlz67phwwaDzw8PD0d6ejrkcjnEYjFOnz6Npk2b4tGjR/Dz8wMA+Pn54fHjx1qfn5mZiczMTADA/Pnzn334bUwkEmmW4+ZNuA4fDkFurnqT+5kzqN65E4iKMu1glnztWscQJifD5f59NA4OhjI5Wf9rz5sHduaMRplYdDRE8+bx4vzUVu9c8YkJ7yOv42ogR4wJ4HdcnJLA999/D4lEgpkzZ2LWrFmYPXs2Nm3ahI4dO3I6SFhYGP72t7/h66+/hpubGyIjIzndQdRITExEYmKi+m9b160B9ev4fGfMgLjWFxl41oVPMWOGyb+6LfnawH/rm2t6pQgBqLKz9Y9I9PKCcP36+tVKXl68+3XKh/pYnUx4H3kdVwM5YkwAP+JqUJtAjatXr2LFihVwc3ODQCBAkyZNMG7cOHzxxRcaF2d9+vTpgz59+gAAfv31VwQEBMDHxwclJSXw8/NDSUkJvL29OYbDP5asI7d0/buh/uo61/aluWjMgt5HYkucfo67uLhAKBQCABo1aoTHjx9DIpFAJpNxPtCjP4fnFxUV4dixY4iLi0OXLl3UYxD279+Prl27Glt+3rBkHXlDX5vrYjD6kkzNXYJHRgYk2dnwyMh4dtdgYGEZW6sdu3DkSN6XlxBb4XQnEBMTg9OnT6Nbt27o0KEDFi1aBLFYjKZNm3I+UGpqKuRyOUQiEd577z14enpiwIABWLRoEbKysiCVSjFp0qQGB2JrlpyvvSGvbcyUBPqSjD0uS1gv9uxs+Buq3iLESekdJ1DjyZMnYIzB09MTVVVV2L59O54+fYp+/fqpG3atia/jBNTVJhYY0GHsaxvTj1/f2AHfSZMgyc6u9zqVsbEo3rTJhIi4aUivKHsaw2AKPtQzm0LbufXr1MmuY9KFD+fKpDaBRo0aqf8vFovx2muvAYDO3jzOypJ1u8a+tjHtCLX7oLvJZKjw9/9vvb8Fq7kMXeCFeXnwf+01uNZK+q7/+Q9kmzfrTQQ0hoH/dN2psj/+AGjsg1VxahOQy+VQqVTqv0tLS/Hzzz9j/PjxFisYMY2xF++aJKPYvVtj1S5LzVvCpa3Be9YsjQQAAK4FBfD+cxCjLjSGgf90VTMKDc9sT8xM753A1atXsWjRIshkMnh5eWHSpEnIzc3Fpk2b0KFDB8ycOdNa5SRGMrYdoeZXuUgmg2/tOwELzVvCpa1B2yAqfdtr0Hq6/Kfrbk1w756VS0L0JoG0tDTEx8ejZ8+e2L9/P1JTUxEREYF58+bprF8i/FD34q36c04m30mT6lW91L0194BmI7IlqrnMPZtp3WoljXUOIiIg++gjahTmEV13a+y556xcEqI3Cdy5cwezZ8+Gi4sLhgwZgu3bt2Py5MmcJnkjtldz8TbUU8gWPYC4VNlUdeoE99276+1T1amT+v9aY/vPf6Bo2xYucjmUwcEQJCfTHDs8o+tujVF1kNXpbRNQqVTqkb0ikQju7u6UAOyQvos8oPtXueTgQZP61+sbp8ClreHx7NlQhIZq7KMIDcXjP2e3BXTEVlAA99271W0Nrn370jgBnqm5Uy0fOBCVsbEoHzgQsvR0802DQjjTeydQVVWFZbV+CVZWVmr8DYAah+2AoaoXXb/KhUVF8B86tEH96w3dfXBpa1BGRKD4H//Qu4+u2GqjFbj4iUZK84PeJDBo0CCNvwcOHGjRwhDLMFT1ou3WvEZDq4W4VDFxuQgY2kdXbHVR91DzseRsucT69CaB119/3VrlIHqY+qUz1Fum5le5tH9/sy0Ub42++sK8PAiePIFKIoFLZaXefal7qHkYMxKd2AdOg8WI7ZjjS6er6gV4Nrq2JrnoaohtyAXU0n31tb0vKokEVV27QnTzJkR376q3s+ho6h5qJvY4jQjRj5IAj2j7xW+uL13dahWtU0WEhICFh0OQn//fbQ3sX2/pvvra3heXykqoAgNR/O23tAKXhdBobMdDSYAndA6jDwjQvr+JXzpdvWqUr7yCyi5dTB4YZunFsfVdjGgFLsuh0diOh5IAT+j6xV+tVGrd39Qvnc4Rm3I5Sn/9VftzjGybsOhcSiZcjKhhs+FoNLbj4ZwEzpw5g1u3bqGiokJj+5AhQ8xeKGek66KsCgpCtVBo9i+dvhGb2i6SAHjVINjQixE1bJrG0nd4xPo4JYEff/wR2dnZaNOmjXqxeGJeOn/ZRkaidPlys3/pdI7YfO89rRdJRYsWvGoQbOjFiBo2TUf9+x0LpyRw+PBhpKSk8HahZEeg75etJb50ui6i0iVL1GsN13C9fRsuT55ofR1bNghyfl9u3oTvjBkQ3r8P0bVrWnehhk3irDglAS8vL401BeyNPdQBm3Kb3dD4tF1EjZ3Fke8NgsK8PLgOHw5xbq7e/azRlmD2z2Gt5KZtUsCaY6n+7BlVM5cSHz//xHY4JYFXXnkF3333HQYOHAgfHx+NxxrbwUXAXuqAG/KL39zx6ZrFkYlE9QZl2UODoFdKCgQGEkBD2xLcdu5EZXw8Hs+ebfC9Nvd50pbcal4PqN9+UxtfP//ENjglgR9++AEAcErLPO4bNmwwb4nMzNHrgM0dnzI5GarsbI3XZCIRRLUarlUSCeeLn63panBXSqVQNG9uUluCS2Ul3HfvhujKFYMXVXOfJ23JrfakgLoSgNkJ2UUAAB53SURBVKnHJY6HUxLg+4VeH0cf3GL2+KKiNKqlXPLy4HrnjsYuLpWVYI0a8T4BALob3CtffNEsy3UC3C6q5j5Pel/P8LLhDvP5J6bjtLxkjaKiIly9etXmCyYbw9EHt1givppqqeJNm6AKD9e6j71cRORTp4JFR2tsa0g1lqGJ6gy9H+Y+T/pej8ukeo7y+Sem43QnUFJSgsWLF+Pq1avw8vKCXC5H8+bN8dFHH8Hf39/SZTSJow9usXR89p5ElRERqN65E4oZMzg3uGtrwNU30ypg+P0w93mST50K9zNnNKqEar+evrLy+vOvp7GbWIaAMcP3jjXdQ9988024ubmhoqICv/32GwoLCzFt2jRrlFNDQZ3Fxw1Rf6nN2M9eKpXy5o7InPHVjUvrHEORkXbVsGjMudIXLwB4z5oFyf799RrIubwf5v4cSuVyncmt9rFqlhZ1KSvj9eAuYV4egoYPr5fY7Omzpgsfrhe6lgTmlATee+89rFq1CiLRf28cqqur8cEHH+DHH380Xyk5MjYJWAIfTqolaIvLEknUmow5V77jx8MjI6Pe9vKBA9V1/nx5PxztM8jlvbdXfDhXupIAp+qgRo0a4c6dO2jSpIl6W0FBATw8PMxSOMJvzjRClEsDrjO9H9bk6J04+IpTEnj11VcxZ84c9OnTB4GBgXj48CH27dtH8wYRi7LFID9LtoEYG489DHI0J3tvf7JXnJJAYmIigoODcejQIeTl5cHPzw8fffQR2rZta+nyEQuwh4uLrQb5Waqh3dh47GmQo7kYauwmlsGpTYBvqE2g4Qw19PIlLnPWDxsbkyXq/I2Nh8v+fDlX5qSvsdue8eFcGd0msGXLFvVC8/oGi1GVkH2xlxHUtqwftkSdv7HxOG39eFQUrz6HzkBnEiguLtb6f2Lf7OXi4mj1w8bG42jxE/7SmQTGjBmj/n9SUpJVCkMsz14uLqbUzddt88C8eYCN1xg2Nh5HH+RI+IPTtBHvvPOO1u2jR482a2GI5cmnTkV1ZKTGNj5eXGqm1i4fOBCVsbEoHziQ84As/6FD4ZGRAUl2NjwyMuDaty+EeXlWKrl2xsbT0PgJMRan3kFKLevcKhQKqFQqzgfasWMHsrKyIBAIEB4ejqSkJKxevRoXL15Ujzf48MMPNcYiEPOzp+UBG1I3r63NQ5Cby4s2D2PjofEIxBr0JoGZM2dCIBCguroas2bN0nisuLgYzZs353QQmUyGXbt2YdGiRRCLxVi4cCGOHDkCAHj77bfRo0ePBhafNERDLy520bXUTto8COELvUmgT58+AIDr16+jd+/e6u0CgQA+Pj5GjRNQqVSoqqqCUChEVVUV/Pz8GlhkYgv20m/dXto8COELTuME7t69i9DQUJMOtHPnTvz2228Qi8Xo0KEDJk6ciOXLl+Pq1atwdXVF27ZtMXz4cLi6utZ7bmZmJjIzMwEA8+fPR1VVlUllMQeRSASFQmHrYpidrriEI0dC+OckarUphw6F8uefrVE0bm7ehGvfvhoDjlh0NKp37gSiomxYMBPdvAlhcjIE9+6BPfcclMnJEDVr5nCfQWf7XlmTWCzWup3zYLHS0lJcv34dcrkctZ9Sc7egT1lZGVJTU/HJJ5/Aw8MDCxcuRI8ePdCuXTv4+vpCoVBg1apVCA4OxuDBgw2+Hg0WsxxdcQUMHgxJdna97ZWxsSjetMkaReOs7mAv0bx5KLJx7yBT6Brgx/74w67j0sbZvlfWZNIEcseOHcPSpUvx3HPPIT8/H+Hh4cjPz0fLli05JYFz584hKCgI3t7eAIDu3bvj6tWr6NWrFwDA1dUVvXv3xvbt27nGQ6zMnqpZ6rZ5SKVSwI4vLLoG+CmTk4HUVNsUijgMzstLJiUl4YUXXsA777yDlJQU7N27F/n5+ZwOIpVKce3aNVRWVkIsFuPcuXNo2rQpSkpK4OfnB8YYjh8/jnAdq1gR2+Nbv/XajdSqP38Nu8jlvG2wNoWuxm7BvXtWLglxRJySQFFREV544QWNbfHx8Rg7dixGjBhh8PnNmjVDjx49MG3aNAiFQjRp0gSJiYmYO3cuHj9+DACIjIzE2LFjGxACsQY+dS3VVj1SGx8brE2h6y6MPfeclUtCHBGnJODt7Y3S0lL4+voiMDBQvcykMeME3njjDbzxxhsa2+p2OyWWY47unXzpt66teqQ2Ps6FZApdd2EsOdl2hSIOg1MSSEhIwOXLl9GjRw/069cPs2fPhkAgwCuvvGLp8hEzsJfunVzpqh7R2MeBxgXougvzi4qy67YOwg+cksCAAQPU/4+Pj0ebNm1QUVGBsLAwixWMmI+9zBzKla7qEY19eNhgbQq+3IURx8Np7qC6pFIpJQA74mijaLXNf1QbH+dCIoSvON0JjBs3Tudjf//7381WGGIZ9tS9EzDcflG3ekTl6QkAcCkr4/VcSITwEackMGHCBI2/S0pKsHPnTsTFxVmkUMS8+Na9Ux+u7RdUPUKIeXBKAq1bt663rU2bNvjmm2/Qt29fsxeKmBefunca4mjtF4TwHackoPWJIhEKCwvNWRZiQfbyy9nR2i8I4TvOI4Zrq6ysxOnTp9GxY0eLFIo4L3trvyDE3nFKAnXXGJZIJHjllVfUc/8QYi721H5BiCPglARojWFiLfbUfkGII9CZBM6fP8/pBYxZWIYQLuyl/YIQR6AzCdTt/y+TySAQCODl5aVeUyAgIADL6MtKCCF2S2cSWL58ufr/W7ZsQVlZGYYMGQKJRILKykps2LABXg62oIWja+gkclyeZw/rDxNC6uPUJvCvf/0Lq1atgkj0bHeJRII333wT77//PgYOHGjRAhLzaOgkclyeZ+4J6iihEGI9nOYOcnNzw/Xr1zW23bhxAxKJxCKFIuanbxCWqc9r6GtrU5NQPDIyIMnOhkdGBvyHDoUwL8/o1yKEGMbpTmDIkCGYO3cuOnfujICAABQXF+PUqVN47733LF0+YiYNHYTF5XnmHOBFI4YJsS5OSaBXr16Ijo7G0aNHUVJSgtDQULz22ms0k6gdaeggLEPPE+blwUXHMqMNGeBFI4YJsS7O00aEhYVh8ODBliwLsaCGDsLS9zx1W8CdO/We19ABXjRimBDr4pwETpw4gYsXL6rXBK4xfvx4sxeKmF9DB2Hpe57v+PFal3msDgtrcKMwn0cMU4M1cUScksCmTZvw73//G7GxsTh69CgSExNx+PDheovPE35r6CAsXc/TVXWjioho8MWRryOGHW2JTkJqcEoCe/fuxRdffIGIiAjs27cPo0aNQs+ePbF582ZLl4/wmKWqbvg4YpgarImj4tRF9MmTJ4j489eOSCSCQqFATEwMLl68aNHCEX7TtswjX6puzI0arImj4nQnEBwcjPz8fISHhyM8PBy7d++Gp6cnPP9c1o84J75W3VgCNVgTR8V5nIBcLgcADB8+HEuWLEFFRQVGjx5t0cIR/uNj1Y0l8LnBmhBTGEwCKpUKYrEYzZs3BwDExMRg6dKlFi8YIXziTHc9xLkYTAIuLi5ISUnBL7/8Yo3yEMJbznLXQ5wLp4bhVq1a4erVq5YuCyGEECvj1CYQGBiIefPmoUuXLggICIBAIFA/NmTIEIsVjlgODXwihAAck0BVVRW6du0K4NniMsS+6Rv4BKnUhiUjhFgbrTHshPRO/ZyebqNSEUJswWASUCgU6sVkLl++DJVKpX6sRYsWEAqFlisdsQhdA58kBw9CefMmYOYV44ypeqrZV3T7NgSFhVAFBkLZpAlVVxFiIXqTwO7du3HlyhVMmDABAPD111+rl5SsrKzEW2+9hT59+li+lMSsdA18EhYVwaVvXwjXrzfbBdeYOXe07Ys7d4DTp+1+nh5qgyF8pTcJ7N+/H2PGjFH/7erqql6A/tatW1i9ejXnJLBjxw5kZWVBIBAgPDwcSUlJKC0txeLFi1FWVoaoqChMmDBBfddBLEfbwKcagtxcs86HY8ycO9r2NfQce0CTzxE+09tFtLCwEE2aNFH/XXsRmcjISBQWFnI6iEwmw65duzB//nykpqZCpVLhyJEjWLduHfr164fvvvsOjRo1QlZWVsOiIEapGfik1NEIbM75cIyZc0fXvvqeYw/MufwmIeamNwlUVFSgoqJC/fecOXPU/6+srNR4zBCVSoWqqioolUpUVVXB19cXFy5cQI8ePQAAL730Eo4fP25s+UkDKSMiUPnii9ofM+N8OMbMuaNrX33PsQc0+RzhM711LxERETh79iy6detW77GcnByEh4dzOoi/vz/69++PcePGQSwWo0OHDoiOjoaHh4e6Ydnf319n99PMzExkZmYCAObPnw8pD7oxikQiXpTDJPPmgZ05A0FurnoTi46GaN4888VmzDG07GuOctn6XAkjI4Hs7HrbRRERJpXL1nFZgiPGBPA7Lr1JoG/fvvjhhx8AAF26dIGLiwtUKhVOnDiBn376CSNGjOB0kLKyMhw/fhzLly+Hh4cHFi5ciJycHM6FTExMRGJiovrvoqIizs+1FKlUyotymMTLC8L16zXmwxHNm4ciLy/AXLFpOYZ86lQotR2j1r7q3kFBQVD+OVGb1udwYOtzJfzoI/hnZ9ebfE720UdQmlAuW8dlCY4YE8CPuEJCQrRu15sE4uLiIJPJsHTpUigUCnh7e+Px48dwdXXF4MGD0bNnT04HP3fuHIKCguDt7Q0A6N69O65cuYLy8nIolUoIhULIZDL4+/sbGRYxVd35cKRSqfkSgI5jmGtfe0GTzxE+M9gVp3///khISMDVq1chl8vh5eWF5s2bw8PDg/NBpFIprl27hsrKSojFYpw7dw5NmzZFmzZtcPToUcTFxWHfvn3o0qWLScEQwleOmNyIY+DUH9PDwwPPP/98gw/SrFkz9OjRA9OmTYNQKESTJk2QmJiITp06YfHixUhPT0dUVBSNOSCEECsTMMaYrQthrIKCAlsXgRd1fJbgiHE5YkyAY8bliDEB/IhLV5sAp6mkCSGEOCYanksIAUBTWzgrSgKEEJrawolRdRAhhKa2cGKUBAghNLWFE6MkQAgxao4n4lgoCRBCIJ86FdWRkRrbqv+croM4NmoYJrzApWcK9V6xHJrawnlREiA2x6VnCvVesTya2sI5UXUQsTkuPVOo9wohlkF3AsTmuPRMMan3ys2b8J0xw6bVSFSVRfiKkgCxOS49Uxrae0WYlwfX4cMhrrVQjbWrkagqi/AZVQcRm+PSM6WhvVe8UlLqrVRm7WokqsoifEZ3AsTmuPRMaWjvFT4MguJDGQjRhZIA4QUuPVMa0nuFD4Og+FAGQnSh6iDi0ORTp4JFR2tss/YgKBqIRfiM7gSIQ1NGRKB6504oZsyw2SAoGohF+IySAHF8UVE2HwRFA7EIX1F1ECGEODFKAoQQ4sSoOog4Ph6MGCaErygJEIfGhxHDhPAZVQcRh8aHEcOE8BklAeLQaLQuIfpREiAOjUbrEqIfJQHi0PgwYpgQPqOGYeLQ+DBimBA+oyRAHB8PRgwTwldUHUQIIU6MkgAhhDgxSgKEEOLEKAkQQogTs0rDcEFBARYtWqT+u7CwEG+88QaePHmCPXv2wNvbGwAwbNgwdOrUyRpFIoQQAislgZCQEHz77bcAAJVKhffffx/dunXD3r170a9fP7z66qvWKAYhhJA6rF4ddO7cOQQHByMwMNDahyaEEFKH1ccJHD58GHFxceq///jjDxw4cADR0dEYMWIEPD096z0nMzMTmZmZAID58+dDKpVarby6iEQiXpTD3BwxLkeMCXDMuBwxJoDfcQkYY8xaB1MoFHj//feRmpoKX19flJaWqtsDNmzYgJKSEiQlJRl8nYKCAksX1SCpVIqioiJbF8PsHDEuR4wJcMy4HDEmgB9xhYSEaN1u1eqg06dPIyoqCr6+vgAAX19fuLi4wMXFBQkJCbhx44Y1i0MIIU7PqkmgblVQSUmJ+v/Hjh1DeHi4NYtDCCFOz2ptApWVlTh79izGjh2r3rZu3TrcunULAoEAgYGBGo8RQgixPKslAYlEgp9++klj24QJE6x1eEIIIVrQiGFCCHFiNJU0ITYizMuDV0oKhPfvQxkcTOscEJugJECIDQjz8uA/dChcb99Wb3M9dQqy9HRKBMSqqDqIEBvwSknRSAAA4Hr7NrxSUmxUIuKsKAkQYgPC+/e1b3/wwMolIc6OkgAhNqAMDta+vXFjK5eEODtKAoTYgHzqVFRHRmpsq46MhHzqVBuViDgrahgmxAaUERGQpac/6x304AGUjRtT7yBiE5QECLERZUQESpcts3UxiJOj6iBCCHFilAQIIcSJURIghBAnRkmAEEKcGCUBQghxYlZdXpIQQgi/0J1AA02fPt3WRbAIR4zLEWMCHDMuR4wJ4HdclAQIIcSJURIghBAnJkxOTk62dSHsVXR0tK2LYBGOGJcjxgQ4ZlyOGBPA37ioYZgQQpwYVQcRQogToyRACCFOjGYR1aKoqAjLly9HaWkpBAIBEhMT0bdvX5SVlWHRokV4+PAhAgMD8cknn8DT0xOMMaxZswanT5+GRCJBUlISb+v/AEClUmH69Onw9/fH9OnTUVhYiMWLF6OsrAxRUVGYMGECRCIRqqursWzZMuTm5sLLywsff/wxgoKCbF18rZ48eYKVK1ciPz8fAoEA48aNQ0hIiF2frx07diArKwsCgQDh4eFISkpCaWmp3Z2rFStW4NSpU/Dx8UFqaioANOi7tG/fPmzZsgUAMGjQILz00ku2CklrTGlpaTh58iREIhEaN26MpKQkNGrUCACQkZGBrKwsuLi44J133sHzzz8PAMjJycGaNWugUqmQkJCAAQMGWD8YRuqRyWTsxo0bjDHGysvL2cSJE1l+fj5LS0tjGRkZjDHGMjIyWFpaGmOMsZMnT7JvvvmGqVQqduXKFTZjxgyblZ2L7du3s8WLF7N58+YxxhhLTU1lhw4dYowxtmrVKvbHH38wxhj7/fff2apVqxhjjB06dIgtXLjQNgXmYOnSpSwzM5Mxxlh1dTUrKyuz6/NVXFzMkpKSWGVlJWPs2Tnau3evXZ6rCxcusBs3brBJkyaptxl7buRyOfvwww+ZXC7X+L+taIspJyeHKRQKxtiz+Gpiys/PZ1OmTGFVVVXswYMHbPz48UypVDKlUsnGjx/P7t+/z6qrq9mUKVNYfn6+1WOh6iAt/Pz81L8+3N3dERoaCplMhuPHjyM+Ph4AEB8fj+PHjwMATpw4gV69ekEgEKB58+Z48uQJSkpKbFZ+fYqLi3Hq1CkkJCQAABhjuHDhAnr06AEAeOmllzTiqvm11aNHD5w/fx6Mh/0IysvLcenSJfTp0wcAIBKJ0KhRI7s/XyqVClVVVVAqlaiqqoKvr69dnqvWrVvD09NTY5ux5yYnJwft27eHp6cnPD090b59e+Tk5Fg9lhraYurQoQOEQiEAoHnz5pDJZACexRobGwtXV1cEBQUhODgY169fx/Xr1xEcHIzGjRtDJBIhNjZW/T5YE1UHGVBYWIibN28iJiYGjx49gp+fH4BnieLx48cAAJlMBqlUqn5OQEAAZDKZel8+Wbt2Ld566y08ffoUACCXy+Hh4aH+8Pr7+6s/vDKZDAEBAQAAoVAIDw8PyOVyeHt726bwOhQWFsLb2xsrVqzA7du3ER0djVGjRtn1+fL390f//v0xbtw4iMVidOjQAdHR0XZ/rmoYe25qxwdoxs5HWVlZiI2NBfAspmbNmqkfq1322jEFBATg2rVr1i0oqGFYr4qKCqSmpmLUqFHw8PDQuZ+2X1wCgcCSRWuQkydPwsfHh3P9t73EpVQqcfPmTbz88stISUmBRCLB1q1bde5vD3GVlZXh+PHjWL58OVatWoWKigq9v3ztISYujImDr/Ft2bIFQqEQL774IgDtMenabouY6E5AB4VCgdTUVLz44ovo3r07AMDHxwclJSXw8/NDSUmJ+ldWQEAAioqK1M8tLi7m1a/KGleuXMGJEydw+vRpVFVV4enTp1i7di3Ky8uhVCohFAohk8ng7+8P4FlcxcXFCAgIgFKpRHl5eb1bYD4ICAhAQECA+tdWjx49sHXrVrs+X+fOnUNQUJC6zN27d8eVK1fs/lzVMPbc+Pv74+LFi+rtMpkMrVu3tnq5Ddm3bx9OnjyJmTNnqi/oNeemRu3zVnu7rT6HdCegBWMMK1euRGhoKF555RX19i5dumD//v0AgP3796Nr167q7QcOHABjDFevXoWHhwfvLioA8Oabb2LlypVYvnw5Pv74Y7Rt2xYTJ05EmzZtcPToUQDPPsRdunQBAHTu3Bn79u0DABw9ehRt2rTh5a8vX19fBAQEoKCgAMCzC2hYWJhdny+pVIpr166hsrISjDF1TPZ+rmoYe26ef/55nDlzBmVlZSgrK8OZM2fUPWz4IicnB9u2bcO0adMgkUjU27t06YIjR46guroahYWFuHfvHmJiYtC0aVPcu3cPhYWFUCgUOHLkiPp8WhONGNbi8uXLmDlzJiIiItRfpGHDhqFZs2ZYtGgRioqKIJVKMWnSJHW3th9//BFnzpyBWCxGUlISmjZtauMo9Ltw4QK2b9+O6dOn48GDB/W6Hbq6uqKqqgrLli3DzZs34enpiY8//hiNGze2ddG1unXrFlauXAmFQoGgoCAkJSWBMWbX52vjxo04cuQIhEIhmjRpgg8++AAymczuztXixYtx8eJFyOVy+Pj44I033kDXrl2NPjdZWVnIyMgA8KyLaO/evXkVU0ZGBhQKhfoOrFmzZhg7diyAZ1VEe/fuhYuLC0aNGoWOHTsCAE6dOoWff/4ZKpUKvXv3xqBBg6weCyUBQghxYlQdRAghToySACGEODFKAoQQ4sQoCRBCiBOjJEAIIU6MkgAhDqioqAhvv/02VCoVACA5ORl79uyxcakIH9GIYWJXLl++jHXr1iE/Px8uLi4ICwvDyJEjERMTY+uiqV24cAFLly7FypUrDe67ceNGZGRkQCQSQSgUIiwsDCNGjEDz5s1NKoNUKkVaWppJr0GcAyUBYjfKy8sxf/58jB49GrGxsVAoFLh06RJcXV1tXTQ1pVJp9HNeeOEFTJw4EQqFAunp6fi///s/rFq1itcjfonjoCRA7Ma9e/cAAD179gQA9eyawLNf1Pfv38fEiRMBPJtZdPz48fjtt98gFAqRnJyM5s2b49y5cygoKECbNm2QlJQET09P9b5jx47Fpk2bwBhD//790b9/fwBAdXU11q9fj+zsbADPLtrDhw+Hq6ur+lf///7v/+Jf//oXWrVqhZMnT0KhUODtt98GACxZskQ9V4w+IpEI8fHx+Oc//wm5XI7ff//d5Jhq9iVEF2oTIHbjueeeg4uLC5YtW4bTp0+jrKzMqOfv378f48aNw6pVq+Di4oKffvpJ4/Hz589jyZIl+OKLL7B161acPXsWwLMh/9euXUNKSgq+/fZbXL9+HZs3b1Y/r7S0FGVlZVixYgXGjx+Pzz77DH5+fkhLS0NaWhqnBAA8Szb79u1DQEAA5ymgDcVEiCGUBIjd8PDwwFdffQWBQIBVq1Zh9OjRWLBgAUpLSzk9v1evXoiIiICbmxuGDh2K7OxsdcMpALz++utwc3NDREQEevfujcOHDwMADh06hNdeew0+Pj7w9vbG4MGDcfDgQfXzBAIB3njjDbi6ukIsFhsdV3Z2NkaNGoVx48YhNzcXn376KefnGoqJEEOoOojYlbCwMHz44YcAgLt372Lp0qVYu3YtQkJCDD639gIeUqkUSqVSvZiJtsfz8vIAPJv6NzAwUP1YYGCgxoIm3t7eDbr416hpE2gIQzERYgjdCRC7FRoaipdeegn5+flwc3NDVVWV+jFtdwe1524vKiqCUCjUqHap+3jN9NL+/v54+PChxmO1q3jqNuCaq0HXHDERYgglAWI37t69i+3bt6svfEVFRTh8+DCaNWuGJk2a4NKlSygqKkJ5ebnWlcUOHjyIO3fuoLKyEhs3bkSPHj3g4vLfr8DmzZtRWVmJ/Px87Nu3T708YFxcHLZs2YLHjx/j8ePH+Mc//qFeNUobHx8fyOVylJeXmxSvOWIixBCqDiJ2w93dHdeuXcOOHTtQXl4ODw8PdO7cGW+99RY8PDzwwgsvYMqUKfDy8sLf/vY3nDhxQuP5vXr1wvLly1FQUIBWrVohKSlJ4/HWrVtj4sSJUKlU6N+/v7rn0aBBg1BeXo4pU6YAeLZymb5530NDQxEXF4fx48dDpVJh4cKFnBuHa2vfvr3JMRFiCK0nQJxCcnIyXnzxRSQkJNR7zF67U+qLiRCu6L6REEKcGFUHEWJhc+fOxaVLl+ptHzhwoE2WEySkNqoOIoQQJ0bVQYQQ4sQoCRBCiBOjJEAIIU6MkgAhhDgxSgKEEOLE/h/RpDjcNTqFmQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Remove outliers and then plot\n",
    "\n",
    "\n",
    "def outliers_rem(features,df):\n",
    "    features_dict = {}\n",
    "    for feature in features:\n",
    "        description = df[feature].describe()\n",
    "        feature_mean = description[\"mean\"]\n",
    "        feature_std_3 = description[\"std\"]*3\n",
    "        features_dict[feature] = (feature_mean + feature_std_3,feature_mean - feature_std_3)\n",
    "    return features_dict\n",
    "\n",
    "def EDA(features_dict, df,log = False):\n",
    "    for feature in features_dict:\n",
    "        tmp = df[df[feature]<=features_dict[feature][0]]\n",
    "        tmp = tmp[tmp[feature]>=features_dict[feature][1]]\n",
    "        if log:\n",
    "            plt.scatter(np.log(tmp[feature]),np.log(tmp[\"grad_rate\"]),color=\"red\")\n",
    "            plt.xlabel(feature + \" in log scale\")\n",
    "        else:\n",
    "            plt.scatter(tmp[feature],tmp[\"grad_rate\"],color=\"red\")\n",
    "            plt.xlabel(feature)\n",
    "        plt.ylabel(\"Graduation Rate\")\n",
    "        plt.title(feature+\" vs. Graduation Rate\")\n",
    "        plt.show()\n",
    "        \n",
    "        plt.hist(tmp[feature])\n",
    "        plt.title(\"Histogram of \"+feature)\n",
    "        plt.show()\n",
    "    \n",
    "    \n",
    "    \n",
    "\n",
    "features = [\"Instruction_EmployeeBenefits\",\"Support_Pupil\",\"Support_Staff\",\"Support_SchoolAdmin\"]\n",
    "\n",
    "a = outliers_rem(features,per_pupil_spending_with_grad)\n",
    "\n",
    "EDA(a,per_pupil_spending_with_grad)\n",
    "\n",
    "#features_dict = {}\n",
    "\n",
    "#for feature in features:\n",
    "    #description = per_pupil_spending_with_grad[feature].describe()\n",
    "    #feature_mean = description[\"mean\"]\n",
    "    #feature_std_3 = description[\"std\"]*3\n",
    "    #features_dict[feature] = feature_mean + feature_std_3\n",
    "\n",
    "\n",
    "#for feature in features_dict:\n",
    "    #tmp = per_pupil_spending_with_grad[per_pupil_spending_with_grad[feature]<=features_dict[feature]]\n",
    "    #plt.scatter(np.log(tmp[feature]),tmp[\"grad_rate\"],color=\"blue\")\n",
    "    #plt.xlabel(feature)\n",
    "    #plt.ylabel(\"Graduation Rate\")\n",
    "    #plt.title(feature+\" vs. Graduation Rate\")\n",
    "    #plt.show()\n",
    "    #plt.hist(tmp[feature])\n",
    "    #plt.title(\"Histogram of \"+feature)\n",
    "    #plt.show()\n",
    "    \n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                 OLS Regression Results                                \n",
      "=======================================================================================\n",
      "Dep. Variable:              grad_rate   R-squared (uncentered):                   0.922\n",
      "Model:                            OLS   Adj. R-squared (uncentered):              0.918\n",
      "Method:                 Least Squares   F-statistic:                              276.0\n",
      "Date:                Mon, 09 Dec 2019   Prob (F-statistic):                    4.96e-51\n",
      "Time:                        09:51:55   Log-Likelihood:                         -452.57\n",
      "No. Observations:                  98   AIC:                                      913.1\n",
      "Df Residuals:                      94   BIC:                                      923.5\n",
      "Df Model:                           4                                                  \n",
      "Covariance Type:            nonrobust                                                  \n",
      "================================================================================================\n",
      "                                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------------------------\n",
      "Instruction_EmployeeBenefits     0.0016      0.003      0.457      0.649      -0.005       0.009\n",
      "Support_Pupil                    0.0215      0.013      1.691      0.094      -0.004       0.047\n",
      "Support_Staff                    0.0004      0.009      0.044      0.965      -0.018       0.019\n",
      "Support_SchoolAdmin              0.0997      0.014      6.956      0.000       0.071       0.128\n",
      "==============================================================================\n",
      "Omnibus:                        9.471   Durbin-Watson:                   2.037\n",
      "Prob(Omnibus):                  0.009   Jarque-Bera (JB):               10.241\n",
      "Skew:                          -0.790   Prob(JB):                      0.00597\n",
      "Kurtosis:                       2.899   Cond. No.                         13.6\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "reg = linear_model.LinearRegression()\n",
    "per_pupil_spending_with_grad\n",
    "#reg.fit(per_pupil_spending_with_grad[[\"Instruction_EmployeeBenefits\",\"Support_Pupil\",\"Support_Staff\",\"Support_SchoolAdmin\"]],per_pupil_spending_with_grad[\"grad_rate\"])\n",
    "#reg.coef_\n",
    "results = sm.OLS(per_pupil_spending_with_grad[\"grad_rate\"], per_pupil_spending_with_grad[[\"Instruction_EmployeeBenefits\",\"Support_Pupil\",\"Support_Staff\",\"Support_SchoolAdmin\"]]).fit()\n",
    "print(results.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "fin_df_tot_rev = fin_df[\"15\"].fillna(-1)\n",
    "#Revenue of the 100 Largest .....\n",
    "#Finance page 15\n",
    "tot_rev = pd.DataFrame([], columns=[\"Rank\",\"School System\",\"State\",\"Enrollment\",\n",
    "                                   \"Total Revenue\",\"Federal Total\",\"Federal Titile I\",\"Federal Special Education\",\n",
    "                                   \"Federal Child Nutrition\",\"Federal Other and Nonspecified\",\"State Total\",\"State General Formula Assistance\",\n",
    "                                   \"State Special Education\",\"State Transportation\",\"State Other and Nonspecified\",\"Local Total\",\n",
    "                                   \"Local Total Taxes\",\"Local Property Taxes\",\"Local Parent Government Contribution\",\"Local From Cities and Counties\",\n",
    "                                   \"Local From Other School Systems\"])\n",
    "\n",
    "def changeInt(i):\n",
    "    try:\n",
    "        return (int(i))\n",
    "    except:\n",
    "        return(0)\n",
    "\n",
    "tot_rev[\"Rank\"] = [i for i in range(100)]\n",
    "tot_rev[\"School System\"] = percent_dist_rev[\"School System\"]\n",
    "tot_rev[\"State\"] = percent_dist_rev[\"State\"]\n",
    "tot_rev[\"Enrollment\"] = percent_dist_rev[\"Enrollment\"]\n",
    "tot_rev[\"Total Revenue\"] = [int(i) for i in fin_df_tot_rev[\"Unnamed: 5\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Total\" and i != -1 and i != \"Elementary-secondary revenue\"]\n",
    "tot_rev[\"Federal Total\"] = [int(i) for i in fin_df_tot_rev[\"Unnamed: 6\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Total\" and i != -1 and i != \"Federal sources\"]\n",
    "tot_rev[\"Federal Titile I\"] = [int(i) for i in fin_df_tot_rev[\"Unnamed: 7\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Title I\" and i != -1 ]\n",
    "tot_rev[\"Federal Special Education\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 8\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Special\" and i != -1 and i != \"education\"]/tot_rev[\"Enrollment\"]\n",
    "tot_rev[\"Federal Child Nutrition\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 9\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Child\" and i != -1 and i != \"nutrition\"]/tot_rev[\"Enrollment\"]\n",
    "tot_rev[\"Federal Other and Nonspecified\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 10\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Child\" and i != -1 and i != \"Other and\" and i != \"nonspecified\"]\n",
    "tot_rev[\"State Total\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 11\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"State sources\" and i != -1 and i != \"Total\"]\n",
    "tot_rev[\"State General Formula Assistance\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 12\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"General\" and i != -1 and i != \"formula\" and i != \"assistance\"]\n",
    "tot_rev[\"State Special Education\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 13\"][np.concatenate((np.arange(4,74,1),np.arange(149,217,1)))] if i !=\"Special\" and i != -1 and i != \"education\"]/tot_rev[\"Enrollment\"]\n",
    "tot_rev[\"State Transportation\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 4\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"State sources--Con.\" and i != -1 and i != \"Transpor-\" and i != \"tation\" and i !=\"Elementary-secondary revenue--Con.\"]/tot_rev[\"Enrollment\"]\n",
    "tot_rev[\"State Other and Nonspecified\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 5\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"Other and\" and i != -1 and i != \"nonspecified\"]\n",
    "tot_rev[\"Local Total\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 6\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"Local sources\" and i != -1 and i != \"Total\"]\n",
    "tot_rev[\"Local Total Taxes\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 7\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"Total taxes\" and i != -1]\n",
    "tot_rev[\"Local Property Taxes\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 8\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"Property\" and i != -1 and i != \"taxes\"]/tot_rev[\"Enrollment\"]\n",
    "tot_rev[\"Local Parent Government Contribution\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 9\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"Parent\" and i != -1 and i != \"government\" and i != \"contributions\"]\n",
    "tot_rev[\"Local From Cities and Counties\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 10\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"From cities\" and i != -1 and i != \"and\" and i != \"counties\"]\n",
    "tot_rev[\"Local From Other School Systems\"] = [changeInt(i) for i in fin_df_tot_rev[\"Unnamed: 11\"][np.concatenate((np.arange(76,145,1),np.arange(220,288,1)))] if i !=\"From other\" and i != -1 and i != \"systems\" and i != \"school\"]\n",
    "\n",
    "tot_rev_with_grad = tot_rev.loc[school_final_ind,:]\n",
    "tot_rev_with_grad[\"grad_rate\"] = grad_rate_values\n",
    "\n",
    "tot_rev.columns\n",
    "\n",
    "tot_rev_with_grad.to_csv(\"tot_rev_with_grad.csv\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXAAAAEJCAYAAACNNHw2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3de1RU9f4+8Ge43xEYUEFFvCNeSDG1TEhHrTRSMz3e09S8fEs0L+gRsZMdSSU4GabHZWq3k7pMMivNARTtJkoognnF0kQRAUGIEObz+8OfkyMDM4zA8MHntRZrMXv25f3es+dhs2fvPQohhAAREUnHwtwFEBGRaRjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoAb0Lp1a6xcudLcZUilvLwcU6dOhYeHBxQKBQ4ePGjukhqNFStWoF27djWa5uWXX4ZKpaqTekJCQjBt2rQ6mXdNbd26FVZWVuYuo149kgFe3QatUCjwySefaB+npKRg3rx5Rs33yJEjUCgUuHTpUm2UKa1du3bhs88+w1dffYXs7Gw88cQTesdLT0/HyJEj0bx5c9jZ2cHHxwfDhg3DL7/8oh3HysoKW7durXEN06ZNQ0hIiIkdVLZlyxb07NkTLi4ucHZ2hr+/P6ZPn15r8zfWggUL8NNPP9X6fFu3bg2FQlHpZ9iwYbW+rId15coVvTsGY8aMwR9//GGeoszk0fpzZQJPT09zl1ClsrIy2NjYmLuMSs6dOwcfH58qgxsAbty4gQEDBuDpp5/Gnj174OXlhStXruC7775DXl5ePVZr2NatWzFz5kxER0dj8ODBAIDTp0/jyy+/rPdanJyc4OTkVCfzXrx4McLCwnSG2dnZ1cmy6oK9vT3s7e3NXUb9Eo+gyZMni4EDB+p9DoD4+OOPtY99fX3FW2+9pX0cHx8vAgMDhb29vXB1dRW9evUSqampIisrSwDQ+QkODhZCCKHRaMSaNWuEn5+fsLa2Fm3atBExMTE6y83NzRWjRo0SDg4OwsvLSyxbtkxMmjRJp87g4GAxdepUsWzZMtGsWTOhVCqFEEJ8+umn4vHHHxcuLi7Cw8NDPPfcc+LMmTPa6e7V9umnn4rBgwcLe3t70bFjR3Hw4EFx5coV8eyzzwoHBwfh7+8vkpOTq113hnoJDg7WWQe+vr5657N7924BQBQVFVW5LF9f30rrVAgh8vLyxPjx40XLli2FnZ2d6NChg1i7dq3QaDRCCCEiIyMrTbdlyxYhhBBFRUXi9ddfF97e3sLe3l4EBgaKXbt2VdvzCy+8IF588cVqx9myZYuwtLQUBw4cEJ07dxa2traiV69e4vjx4zrjHTt2TAwaNEg4OjoKpVIpRowYIS5duqQzzoEDB0S/fv2Evb29cHFxEf379xfnz5/X9ta2bVvtuBcvXhQjRowQzZs3F/b29qJLly7io48+0plfddv7PQ9u5/pcunRJDBkyRNjZ2YmWLVuK9957TwQHB4tXXnml2vm88sor2vfCPe+//77w9/cXNjY2wtPTU2f9GtqeH3xt721j916D+3399deiR48e2uXMmjVL3L59u9K62bhxo2jVqpVwdnYWoaGhIicnp9p10VA8kodQTHXt2jW89NJLGDt2LDIyMvDjjz8iLCwMVlZWaNmypXaP7OjRo8jOzsYXX3wBAFi/fj0iIiIQHh6OjIwMLFy4EOHh4di8ebN23lOmTMGJEyewd+9eJCYm4sqVK4iPj69Uw44dO3Djxg0kJCQgMTERAPDXX38hIiICqampOHDgACwtLTF06FCUlZXpTBsREYFZs2YhLS0N/v7+GDt2LCZPnozp06fjl19+gb+/P8aNG4c7d+5UuQ4M9fLFF1/gjTfeQOvWrZGdnY2UlBS982nevDkA4PPPP4dGo9E7TkpKCiwtLREbG4vs7GxkZ2dr++3atSvi4+ORmZmJiIgIREZGag+1LFiwAOPGjUPfvn21040ZMwZCCDz//PM4ceIEtm/fjlOnTmHWrFn4xz/+gYSEhCp7bt68OY4dO4azZ89WOQ4AaDQaLFq0COvXr8fRo0fh5eWFoUOHoqSkBACQmZmJ4OBg9O3bF8eOHUNiYiIsLS0xaNAglJaWAgDUajWGDBmCnj174scff8TPP/+MSZMmVfma3L59GwMHDsS+ffuQnp6OGTNmYMqUKUhKSqq21poSQmDEiBG4efMmDh48iD179mDPnj1ITU2t8bwiIyOxePFizJ49G+np6di3bx8CAwO1zxvanu8tc9euXdVuYydPnkRoaCj69++PtLQ0bNu2DXv37sXMmTN1xktJSUFSUhK+/vpr7Nu3D2lpaViwYEGN+zILc/8FMYfJkycLS0tL4ejoWOkH1eyBp6amCgAiKytL73wPHz6s9/kWLVqIhQsX6gwLCwsTfn5+Qgghzp49KwAItVqtfb6srEy0aNGi0h54+/btRUVFRbX93bx5UwAQR44cEUL8vQd+/57y0aNHBQCxdu1a7bB7/aWnp1c5b0O9CFF5L7EqERERwtraWjg7O4uQkBARGRkpTp8+rTOOpaWldu+5Oq+//rpQqVTax/r2+pKSkoStra0oKCjQGT5lyhTxwgsvVDnv7Oxs8eSTT2r39kaPHi02btwoiouLteNs2bKl0muYl5cnHB0dxaZNm4QQd7e7MWPG6My7tLRU2Nvbi927dwshhOjXr58YOnRolbUYs25DQ0PFtGnTtI+N3QO3sbGp9H545513hBB3/ysAoLMnnJOTI+zs7Gq0B3779m1hZ2cn1qxZU20993twe758+bIAIJKSknTGe3APfMKECaJXr14648THxwuFQqH9r2fy5MlCqVSK0tJS7TirVq0SzZo1M7o+c3pk98B79+6NtLS0Sj/V6datG4YMGYIuXbpgxIgR+M9//oPLly9XO01hYSGuXLmC/v376wwPDg7GpUuXUFJSgszMTABAnz59tM9bW1sjKCio0vx69uwJCwvdly0tLQ0jRoyAn58fnJ2d0apVKwDAb7/9pjNe9+7dtb83a9ZM29ODw3JyckzupSb+9a9/4fr169i6dSv69OmDXbt2oVu3bvjss8+qnU6j0SAqKgqBgYFQKpVwcnLChg0bKvX7oJSUFJSVlcHHx0d7LNnJyQmffPIJzp07V+V0zZo1w5EjR5CZmYklS5bA0dERixYtQkBAQKV11bdvX+3vbm5u8Pf3176+KSkp2L17t86yPTw8UFpaql3+8ePHtcfZjVFSUoLw8HAEBATA3d0dTk5O+OabbwyuC33mzJlT6f1w74PazMxMKJVKdOjQQTu+p6cnOnbsWKNlZGRkoLS0tNoejd2ejVmWvm1VCKF9TQDA398ftra22sc+Pj64fv16jZZlLo/sh5j29vY1Ph3L0tIS3377LVJSUqBWq7Fr1y6Eh4dj586dBj+tVygUOo+FnptAPjiOPo6OjjqPS0pKMHjwYPTr1w8ffvihNoQDAgIqHUKxtrautCx9w6o6pFFVnfp6MZabmxtGjhyJkSNH4t///jeGDBmCf/7znxg3blyV00RHR2PVqlV499130aNHDzg7OyMmJgZff/11tcvSaDRwdXXV+y+3MR8G+/v7w9/fH6+++ioiIiLQoUMHfPDBB4iMjKxymvvXjUajwcSJExEeHl5pPA8PD+3vxmwH9yxcuBBffvkloqOj0alTJzg6OuKNN97ArVu3jJ7HPe7u7lW+J4QQRtVlYWFRaXvQd/inqnnVZHs2RlXLuX/4g6+9QqF4qG26Pj2ye+CmUigUePzxx7F06VIkJycjODgYW7ZsAfD3hlBRUaEd38XFBS1atMChQ4d05pOcnAw/Pz84ODigc+fOAIAff/xR+3x5eTmOHz9usJ7Tp0/jxo0bePvtt/H000/D398f+fn5dbIBGtPLw1AoFOjYsaPOXq2NjY3O+ry3vGeeeQavvPIKHnvsMbRr167SHrS+6YKCglBQUIDS0lK0a9dO5+feXp6xWrduDQcHh0p74Pef4ldQUIBff/0V/v7+2uWfPHkSbdu2rbR8Nzc3AHf/w9q/f7/RdSQnJ2P8+PEYM2YMunfvjjZt2hg8Vm+KgIAA3LhxQ2c95+bmVlqWl5cXrl69qjPs/tNCO3fuDDs7uyp7NGZ71vc+q6rmB7fVQ4cOQaFQaN9zsmOA18APP/yAt956Cz///DN+//13JCQk4OTJk9qNwdfXFxYWFvjmm2+Qk5Oj3QtasmQJ1q1bh02bNuHcuXPYuHEjPvjgAyxduhQA0L59ezz//POYM2cODh06hMzMTLz66qsoLCw0uNfj6+sLW1tbrFu3DhcuXEBCQgLmzp1bo724mjDUi7G++uorjBs3Dnv27MGZM2dw7tw5bNq0CR9++CFGjBihHc/Pzw9JSUm4evUqcnNzAQAdO3bEwYMHkZSUhLNnz2LZsmX4+eefdebv5+eHX3/9FRkZGcjNzcVff/2FAQMGQKVSYeTIkdi9ezcuXryI48ePa/upyqxZs/Dmm2/i8OHD+O2333D8+HFMnjwZhYWFGD58uHY8hUKBRYsWITk5Genp6Zg0aRIcHR21/00sXboUp0+fxoQJE3D06FFkZWUhKSkJc+fOxcWLFwHc/aD522+/RVhYGE6ePIkzZ85g69atOHPmjN7aOnbsiC+//BJHjx5FZmYmZsyYUSlAjXX79m1cu3ZN5+fmzZsAgIEDB6J79+7a2tPS0jB+/PhKF86oVCps374d3333Hc6cOYN58+bpHPpwcnLCG2+8gRUrViAuLg5nz57FiRMnsGrVKgDGbc/3Dpt99913uHbtGvLz8/X2s3DhQqSmpmL+/Pn49ddfsW/fPrz22msYP358jf9gN1hmO/puRqaeRnjq1Cnx7LPPiqZNmwobGxvRqlUrsWDBAvHXX39px3/nnXeEt7e3sLCw0DmNcPXq1aJ169bCyspK+Pn56T2N8MUXXxT29vbC09NTREREiFGjRolhw4Zpx3nwlK17du7cKdq1aydsbW1FYGCgOHjwoM6Hf/c+xDx8+LB2Gn0fBGVnZwsA4sCBA1WuO2N6MeaDtgsXLoiZM2cKf39/4ejoKJycnERAQIBYuXKlKCkp0Y737bffik6dOgkbGxvtaYQFBQXipZdeEs7OzsLd3V3Mnj1bLFu2TOeUxZs3b4pnn31WuLi46JxGWFJSIhYvXixat24trK2tRdOmTcWQIUNEQkJClbXu2rVLPP/888LHx0fY2NgILy8voVKpxDfffKMd594HaPv379fWGxQUJFJSUnTmdfLkSREaGiqaNGki7OzsRNu2bcX06dPFzZs3tePs27dP9OnTR9jZ2QkXFxcREhIiLly4oHfd/v7772Lw4MHCwcFBNGvWTCxfvlxMnTpV5wNcYz/ExAOn5wEQAQEB2nGysrLEoEGDhK2trfDx8RGxsbGVtsnCwkIxYcIE0aRJE+Hp6SkiIyMrfaCs0WhEbGys6NChg7C2thZeXl5i1KhR2ucNbc9CCLFt2zbtNmjsaYRKpVLMnDlT72mE9/v444+FLNGoEEKSgz2PmIqKCnTq1AmhoaGIjo42dzlkwNatWzFt2jSUl5ebuxR6hDyyH2I2NMnJycjJycFjjz2GoqIixMTE4NKlS3j55ZfNXRoRNVAM8AaioqICK1euxPnz52FtbY0uXbogKSkJXbt2NXdpRNRA8RAKEZGkeBYKEZGkGOBERJIyeAy8rKwMkZGRKC8vR0VFBfr06YPRo0cjLi4OmZmZ2os35syZg9atWxtcoKnnqCqVSu15wI1RY+6PvcmrMfcnU2/e3t56hxsMcGtra0RGRsLOzg7l5eVYvny59s5hEydO1Ll/BxER1R+Dh1AUCoX2pu4VFRWoqKios6v8iIjIeEYdA9doNFi4cCGmTZuGrl27on379gCA//3vf1iwYAG2bt1a7T2kiYio9tXoNMLi4mKsXbsWU6ZMgbOzM5o0aYLy8nJs3LgRzZo1w6hRoypNo1aroVarAQBRUVEm3VEMuPvdiI35KrfG3B97k1dj7k+m3qq6W2aNzwPfuXMnbG1tERoaqh2WkZGBr776Su9tMh/EDzH1a8z9sTd5Neb+ZOqtqg8xDR5CKSwsRHFxMYC7Z6Skp6fDx8dHewcwIQRSUlLQsmXLWiyXiIgMMXgWSn5+PuLi4qDRaCCEQN++fdGzZ0+8+eabKCwsBHD3FpAzZsyo82KJiOhvBgPc19cXq1evrjS8um8hISKiuscrMYmIJCXN3Qivj3jCbMu23LTHbMsmIqoK98CJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJGfxS47KyMkRGRqK8vBwVFRXo06cPRo8ejZycHMTGxuL27dvw8/PDa6+9Bisrab4jmYhIegYT19raGpGRkbCzs0N5eTmWL1+OwMBA7N27F0OHDsWTTz6J//73v0hMTMTgwYPro2YiIoIRh1AUCgXs7OwAABUVFaioqIBCoUBGRgb69OkDAAgJCUFKSkrdVkpERDqMOuah0WiwePFiXLt2DUOGDEHTpk3h4OAAS0tLAIC7uzvy8vL0TqtWq6FWqwEAUVFRUCqVJhV63aSpaoepNdeElZVVvSzHHNibvBpzf42hN6MC3MLCAmvWrEFxcTHWrl2LP/74w+gFqFQqqFQq7ePc3NyaV2lm9VGzUqmUct0Yg73JqzH3J1Nv3t7eeofX6CwUR0dHdO7cGefOnUNJSQkqKioAAHl5eXB3d3/4KomIyGgGA7ywsBDFxcUA7p6Rkp6eDh8fHwQEBOCnn34CABw8eBBBQUF1WykREekweAglPz8fcXFx0Gg0EEKgb9++6NmzJ1q0aIHY2Fh8/vnn8PPzw4ABA+qjXiIi+v8MBrivry9Wr15daXjTpk2xatWqOimKiIgM45WYRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSMvit9Lm5uYiLi0NBQQEUCgVUKhWee+457NixAwkJCXBxcQEAjB07Fj169KjzgomI6C6DAW5paYmJEyeiTZs2+PPPPxEeHo5u3boBAIYOHYrQ0NA6L5KIiCozGOBubm5wc3MDANjb28PHxwd5eXl1XhgREVWvRsfAc3JykJWVhXbt2gEA9u/fjwULFmD9+vW4fft2nRRIRET6KYQQwpgRS0tLERkZiZEjR6J3794oKCjQHv/evn078vPzMXv27ErTqdVqqNVqAEBUVBTKyspMKvT6iCdMmq42NN39Q50vw8rKCuXl5XW+HHNgb/JqzP3J1JuNjY3e4QYPoQBAeXk5oqOj8dRTT6F3794AgCZNmmifHzhwIN555x2906pUKqhUKu3j3Nxco4tuKOqjZqVSKeW6MQZ7k1dj7k+m3ry9vfUON3gIRQiBDRs2wMfHB8OGDdMOz8/P1/5+9OhRtGzZshbKJCIiYxncAz9z5gySk5PRqlUrLFy4EMDdUwa///57XLp0CQqFAp6enpgxY0adF0tERH8zGOCdOnXCjh07Kg3nOd9ERObFKzGJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJMcCJiCTFACcikpSVoRFyc3MRFxeHgoICKBQKqFQqPPfcc7h9+zZiYmJw48YNeHp6Yt68eXBycqqPmomICEYEuKWlJSZOnIg2bdrgzz//RHh4OLp164aDBw+ia9euGD58OOLj4xEfH48JEybUR81ERAQjDqG4ubmhTZs2AAB7e3v4+PggLy8PKSkpCA4OBgAEBwcjJSWlbislIiIdBvfA75eTk4OsrCy0a9cOt27dgpubG4C7IV9YWKh3GrVaDbVaDQCIioqCUqk0qdDrJk1VO0ytuSasrKzqZTnmwN7k1Zj7awy9GR3gpaWliI6OxssvvwwHBwejF6BSqaBSqbSPc3Nza1ZhA1AfNSuVSinXjTHYm7wac38y9ebt7a13uFFnoZSXlyM6OhpPPfUUevfuDQBwdXVFfn4+ACA/Px8uLi61VCoRERnDYIALIbBhwwb4+Phg2LBh2uFBQUE4dOgQAODQoUPo1atX3VVJRESVGDyEcubMGSQnJ6NVq1ZYuHAhAGDs2LEYPnw4YmJikJiYCKVSifnz59d5sURE9DeDAd6pUyfs2LFD73PLly+v9YKIiMg4vBKTiEhSDHAiIkkxwImIJMUAJyKSFAOciEhSDHAiIknV6F4oRHWtYnqoWZZruWmPWZZL9DC4B05EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJCkGOBGRpAzeTnb9+vVITU2Fq6sroqOjAQA7duxAQkICXFxcAABjx45Fjx496rZSIiLSYTDAQ0JC8MwzzyAuLk5n+NChQxEaap57NxMRkRGHUDp37gwnJ6f6qIWIiGrA5G/k2b9/P5KTk9GmTRtMmjSpypBXq9VQq9UAgKioKCiVSpOWd93UQmuBqTXXhJWVVb0sxxxq0pu5XmdT131jft2Axt1fY+jNpAAfPHgwRo0aBQDYvn07PvroI8yePVvvuCqVCiqVSvs4NzfXlEWaVX3UrFQqpVw3xpChN1Prk6G3h9GY+5OpN29vb73DTToLpUmTJrCwsICFhQUGDhyICxcuPFRxRERUcyYFeH5+vvb3o0ePomXLlrVWEBERGcfgIZTY2FhkZmaiqKgIM2fOxOjRo5GRkYFLly5BoVDA09MTM2bMqI9aiYjoPgYDPCwsrNKwAQMG1EkxRERkPF6JSUQkKQY4EZGkGOBERJJigBMRSYoBTkQkKQY4EZGkGOBERJJigBMRSYoBTkQkKQY4EZGkGOBERJJigBMRSYoBTkQkKZO/Uo0ar4rptftl1eb8Ojyixox74EREkmKAExFJigFORCQpBjgRkaQY4EREkmKAExFJigFORCQpBjgRkaQMXsizfv16pKamwtXVFdHR0QCA27dvIyYmBjdu3ICnpyfmzZsHJyenOi+WiIj+ZnAPPCQkBEuXLtUZFh8fj65du+K9995D165dER8fX2cFEhGRfgYDvHPnzpX2rlNSUhAcHAwACA4ORkpKSt1UR0REVTLpXii3bt2Cm5sbAMDNzQ2FhYVVjqtWq6FWqwEAUVFRUCqVpizSrPfTMLXmmrCysqqX5RjjUbx3ianrviG9bnWhMffXGHqr85tZqVQqqFQq7ePc3Ny6XmStq4+alUqllOumsTB13Tf2160x9ydTb97e3nqHm3QWiqurK/Lz8wEA+fn5cHFxMb0yIiIyiUkBHhQUhEOHDgEADh06hF69etVqUUREZJjBQyixsbHIzMxEUVERZs6cidGjR2P48OGIiYlBYmIilEol5s+fXx+1EhHRfQwGeFhYmN7hy5cvr/ViiIjIeLwSk4hIUgxwIiJJMcCJiCTFACcikhQDnIhIUgxwIiJJ1fml9EQyqJgeatJ0tXHfGMtNe2phLvQo4h44EZGkGOBERJJigBMRSYoBTkQkKQY4EZGkeBZKA2bqmRFE9GjgHjgRkaQY4EREkmKAExFJigFORCQpBjgRkaR4FooR6uNskNq4pwYRPVq4B05EJCkGOBGRpB7qEMqcOXNgZ2cHCwsLWFpaIioqqrbqIiIiAx76GHhkZCRcXFxqoxYiIqoBHkIhIpKUQgghTJ14zpw5cHJyAgAMGjQIKpWq0jhqtRpqtRoAEBUVhbKyMpOWdX3EE6aWSUR6NN39g8FxrKysUF5eXg/V1D+ZerOxsdE7/KECPC8vD+7u7rh16xZWrlyJKVOmoHPnztVOc/XqVZOWxRs7EdUuY77KTalUIjc3tx6qqX8y9ebt7a13+EMdQnF3dwcAuLq6olevXjh//vzDzI6IiGrA5AAvLS3Fn3/+qf395MmTaNWqVa0VRkRE1TP5LJRbt25h7dq1AICKigr069cPgYGBtVYYERFVz+QAb9q0KdasWVObtRARUQ3wNEIiIkkxwImIJMUAJyKSFAOciEhSDHAiIkkxwImIJMUAJyKSFL9SjegRZcz9herqq/6MuQ8LGcY9cCIiSTHAiYgkxQAnIpIUA5yISFIMcCIiSfEsFCJ6ZNx/5k1dnWFTlbo484Z74EREkmKAExFJigFORCQpBjgRkaQY4EREkuJZKERU74y5DwsZxj1wIiJJMcCJiCT1UIdQ0tLSsGXLFmg0GgwcOBDDhw+vrbqIiMgAk/fANRoNNm/ejKVLlyImJgbff/89rly5Upu1ERFRNUwO8PPnz6NZs2Zo2rQprKys8MQTTyAlJaU2ayMiomqYfAglLy8PHh4e2sceHh44d+5cpfHUajXUajUAICoqCt7e3qYt8Otjpk1HRNRImbwHLoSoNEyhUFQaplKpEBUVhaioKFMXBQAIDw9/qOkbusbcH3uTV2PurzH0ZnKAe3h44ObNm9rHN2/ehJubW60URUREhpkc4G3btkV2djZycnJQXl6OH374AUFBQbVZGxERVcNyxYoVK0yZ0MLCAs2aNcO6deuwb98+PPXUU+jTp08tl6erTZs2dTp/c2vM/bE3eTXm/mTvTSH0HcwmIqIGj1diEhFJigFORCSpBnc3QkOX59+5cwfvv/8+Ll68CGdnZ4SFhcHLy8tM1daMod727t2LhIQEWFpawsXFBbNmzYKnp6eZqq05Y2+t8NNPP+Hdd9/FqlWr0LZt23qu0jTG9PbDDz9g586dUCgU8PX1xdy5c81QqWkM9Zebm4u4uDgUFxdDo9Fg3Lhx6NGjh5mqrZn169cjNTUVrq6uiI6OrvS8EAJbtmzBL7/8AltbW8yePVueY+OiAamoqBD/93//J65duybu3LkjFsgsfqEAAAQMSURBVCxYIC5fvqwzzr59+8TGjRuFEEIcOXJEvPvuu+YotcaM6S09PV2UlpYKIYTYv3+/NL0JYVx/QghRUlIili9fLpYuXSrOnz9vhkprzpjerl69KhYuXCiKioqEEEIUFBSYo1STGNPfhg0bxP79+4UQQly+fFnMnj3bHKWaJCMjQ1y4cEHMnz9f7/PHjx8Xb7/9ttBoNOLMmTNiyZIl9Vyh6RrUIRRjLs8/duwYQkJCAAB9+vTBqVOn9F5U1NAY01uXLl1ga2sLAGjfvj3y8vLMUapJjL21wvbt2xEaGgpra2szVGkaY3pLSEjAkCFD4OTkBABwdXU1R6kmMaY/hUKBkpISAEBJSYlU13x07txZ+7roc+zYMfTv3x8KhQIdOnRAcXEx8vPz67FC0zWoANd3ef6DIXb/OJaWlnBwcEBRUVG91mkKY3q7X2JiIgIDA+ujtFphTH9ZWVnIzc1Fz54967u8h2JMb1evXkV2djYiIiLwz3/+E2lpafVdpsmM6e+ll17C4cOHMXPmTKxatQpTp06t7zLrTF5eHpRKpfaxofdmQ9KgAlzfnvSDl+cbM05DVJO6k5OTcfHiRYSGyvOtJYb602g02LZtGyZNmlSfZdUKY147jUaD7OxsREZGYu7cudiwYQOKi4vrq8SHYkx/33//PUJCQrBhwwYsWbIE69atg0ajqa8S65SsmQI0sAA35vL8+8epqKhASUlJtf8eNRTG3nrg5MmT2L17NxYtWiTVYQZD/ZWWluLy5ct48803MWfOHJw7dw6rV6/GhQsXzFFujRjz2rm7u6NXr16wsrKCl5cXvL29kZ2dXd+lmsSY/hITE9G3b18AQIcOHXDnzh0p/vM1hoeHB3Jzc7WPZbotSIMKcGMuz+/ZsycOHjwI4O7ZDAEBAVL8tTSmt6ysLGzatAmLFi2S6hgqYLg/BwcHbN68GXFxcYiLi0P79u2xaNEiKc5CMea1e/zxx3Hq1CkAQGFhIbKzs9G0aVNzlFtjxvSnVCq1/V25cgV37tyBi4uLOcqtdUFBQUhOToYQAmfPnoWDg4M0Ad7grsRMTU3Ftm3boNFo8PTTT2PkyJHYvn072rZti6CgIJSVleH9999HVlYWnJycEBYWJs0bxVBvb731Fn7//Xc0adIEwN03zeLFi81ctfEM9Xe/FStWYOLEiVIEOGC4NyEEPvroI6SlpcHCwgIjR47Ek08+ae6yjWaovytXrmDjxo0oLS0FAEyYMAHdu3c3c9XGiY2NRWZmJoqKiuDq6orRo0ejvLwcADB48GAIIbB582acOHECNjY2mD17tjTbZYMLcCIiMk6DOoRCRETGY4ATEUmKAU5EJCkGOBGRpBjgRESSYoATEUmKAU5EJKn/B0Tazojig5xNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features_rev = ['Federal Child Nutrition','Federal Special Education','State Special Education',\n",
    "               'State Transportation','Local Property Taxes']\n",
    "\n",
    "b = outliers_rem(features_rev, tot_rev_with_grad)\n",
    "\n",
    "EDA(b,tot_rev_with_grad)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'pd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-ad5239aa4b36>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Grad Rates by Race\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mgrad\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"grad_rates_by_race.csv\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"\\t\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlineterminator\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"\\r\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
     ]
    }
   ],
   "source": [
    "# Grad Rates by Race\n",
    "\n",
    "grad= pd.read_csv(\"grad_rates_by_race.csv\", sep=\"\\t\", lineterminator=\"\\r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "selected_cols = ['State']\n",
    "for i in range(10,len(grad.columns)):\n",
    "#     print(grad[grad.columns[i]].isna().sum())\n",
    "    if grad[grad.columns[i]].isna().sum() != 77: selected_cols += [grad.columns[i]]\n",
    "# grad_parsed = grad[selected_cols]\n",
    "\n",
    "selected_rows = []\n",
    "for i in range(len(grad)-13):\n",
    "#     print(grad[i:i+1].isna().sum().sum())\n",
    "    if (grad[i:i+1].isna().sum().sum() != 25): selected_rows += [i]\n",
    "\n",
    "grad_parsed = grad[selected_cols].iloc[selected_rows].reset_index()\n",
    "grad_parsed = grad_parsed.drop('index', axis=1).drop([3], axis=0)\n",
    "\n",
    "header = [\"State\",\"Total\", \"White\", \"Black\", \"Hispanic\", \"Asian/Pacific Islander\", \"Asian\", \"Pacific Islander\", \n",
    "          \"American Indian/Alaska/Native\", \"Two or more races\", \"Students with Disabilities\", \n",
    "          \"Limited English\", \"Economically disadvantaged\"]\n",
    "\n",
    "grad_parsed.columns = header\n",
    "grad_parsed = grad_parsed[3:].reset_index().drop('index', axis=1)\n",
    "\n",
    "states=[]\n",
    "for i in grad_parsed['State']:\n",
    "    states += [re.sub(\"[^a-zA-Z]+\", \"\", i)]\n",
    "grad_parsed[\"State\"] = states\n",
    "\n",
    "grad_parsed.to_csv('grad_rates_by_race_parsed.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "agcr = pd.read_csv('grad_rates_by_race_parsed.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10], <a list of 11 Text xticklabel objects>)"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "means_by_dem = dict()\n",
    "for col in range(2,len(agcr.columns)):\n",
    "    ok = []\n",
    "    for row in range(len(agcr)):\n",
    "        if type(agcr.iloc[row,col]) == np.int64 or agcr.iloc[row,col].isdigit(): \n",
    "            ok += [int(agcr.iloc[row,col]) - agcr.iloc[row,1]]\n",
    "    means_by_dem[agcr.columns[col]] = np.mean(ok)\n",
    "\n",
    "# Average difference in percentage between racial demographic and total\n",
    "means_by_dem\n",
    "\n",
    "plt.bar(means_by_dem.keys(), means_by_dem.values(), color='g')\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "##Read table using pandas \n",
    "df1 = pd.read_csv(\"enrollment_gender_race.csv\",skiprows=6)\n",
    "df1_n = df1[:-5]\n",
    "# df1_n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratio = pd.DataFrame([],columns = ['County Name', 'State', 'Pupil/Teacher Ratio'])\n",
    "counties, states, ratios = [],[], []\n",
    "for i in range(len(df1_n)):\n",
    "    if df1_n['Pupil/Teacher Ratio [Public School] 2016-17'][i] != '†':\n",
    "        counties += [df1_n['County Name'][i][:-5]]\n",
    "        states += [df1_n['County Name'][i][-4:].strip()]\n",
    "        ratios += [float(df1_n['Pupil/Teacher Ratio [Public School] 2016-17'][i])]\n",
    "ratio['County Name'] = counties\n",
    "ratio['State'] = states\n",
    "ratio['Pupil/Teacher Ratio'] = ratios\n",
    "# ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv('graduation_rates_total.csv')\n",
    "counties, states, vals = [], [], []\n",
    "state_abbv = pd.read_csv('state_to_abbreviation.csv', names=['State','Abbv'])\n",
    "state_abbv_dict = {}\n",
    "for i in range(len(state_abbv)):\n",
    "    state_abbv_dict[state_abbv['State'][i]] = state_abbv['Abbv'][i]\n",
    "for i in range(len(df2)):\n",
    "    name = df2['name'][i].split(',')\n",
    "    if name[1].strip() in state_abbv_dict.keys():\n",
    "        counties += [name[0]]\n",
    "        states += [state_abbv_dict[name[1].strip()]]\n",
    "        vals += [df2['value'][i]]\n",
    "\n",
    "grad_rates_c = pd.DataFrame([],columns = ['County Name', 'State', 'Graduation Rate'])\n",
    "grad_rates_c['County Name'] = counties\n",
    "grad_rates_c['State'] = states\n",
    "grad_rates_c['Graduation Rate'] = vals\n",
    "# grad_rates_c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "grad_rates_c_new = pd.DataFrame([])\n",
    "temp = []\n",
    "for i in range(1,len(grad_rates_c)):\n",
    "    if grad_rates_c['County Name'][i] == grad_rates_c['County Name'][i-1]:\n",
    "        # Add to temp list\n",
    "        temp += [grad_rates_c['Graduation Rate'][i-1]]\n",
    "    else:\n",
    "        # Put into grad_rates_c_new\n",
    "        temp += [grad_rates_c['Graduation Rate'][i-1]]\n",
    "        mean = np.mean(temp)\n",
    "        grad_rates_c_new = grad_rates_c_new.append([[grad_rates_c['County Name'][i-1], \n",
    "                                                    grad_rates_c['State'][i-1], mean]])\n",
    "        temp = []\n",
    "        \n",
    "grad_rates_c_new.columns = ['County Name', 'State', 'Grad Rate']\n",
    "# grad_rates_c_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "merged = ratio.merge(grad_rates_c_new, on=['County Name', 'State'], how='inner')\n",
    "\n",
    "# merged.to_csv('pupil_ratio_grad_by_county.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "revenue = pd.read_csv('revenue.csv')\n",
    "expenditure = pd.read_csv('per_pupil_exp.csv')\n",
    "teacher_ratio_grad = pd.read_csv('pupil_ratio_grad_by_county.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>School System</th>\n",
       "      <th>State</th>\n",
       "      <th>Enrollment</th>\n",
       "      <th>Overall Total Percentage</th>\n",
       "      <th>Federal Total Percentage</th>\n",
       "      <th>Federal Title I</th>\n",
       "      <th>State Total Percentage</th>\n",
       "      <th>State General Formula Assistance</th>\n",
       "      <th>Local Total Percentage</th>\n",
       "      <th>Local Taxes Parent Government Contributions</th>\n",
       "      <th>Other Local Government</th>\n",
       "      <th>Charges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>New York County</td>\n",
       "      <td>New York</td>\n",
       "      <td>984462</td>\n",
       "      <td>100</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>37.1</td>\n",
       "      <td>25.2</td>\n",
       "      <td>56.0</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>California</td>\n",
       "      <td>633621</td>\n",
       "      <td>100</td>\n",
       "      <td>10.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>62.8</td>\n",
       "      <td>48.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>20.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Cook County</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>378199</td>\n",
       "      <td>100</td>\n",
       "      <td>13.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>34.4</td>\n",
       "      <td>28.3</td>\n",
       "      <td>52.2</td>\n",
       "      <td>46.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Miami-Dade County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>357249</td>\n",
       "      <td>100</td>\n",
       "      <td>12.3</td>\n",
       "      <td>3.8</td>\n",
       "      <td>29.9</td>\n",
       "      <td>10.0</td>\n",
       "      <td>57.8</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>326953</td>\n",
       "      <td>100</td>\n",
       "      <td>9.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>62.2</td>\n",
       "      <td>18.9</td>\n",
       "      <td>28.6</td>\n",
       "      <td>26.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Broward County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>271852</td>\n",
       "      <td>100</td>\n",
       "      <td>10.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>38.8</td>\n",
       "      <td>16.7</td>\n",
       "      <td>50.3</td>\n",
       "      <td>43.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Houston County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>216106</td>\n",
       "      <td>100</td>\n",
       "      <td>12.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>8.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>79.8</td>\n",
       "      <td>75.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>Hillsborough County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>214386</td>\n",
       "      <td>100</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>50.5</td>\n",
       "      <td>23.9</td>\n",
       "      <td>35.2</td>\n",
       "      <td>28.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>200674</td>\n",
       "      <td>100</td>\n",
       "      <td>9.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>34.5</td>\n",
       "      <td>14.8</td>\n",
       "      <td>55.9</td>\n",
       "      <td>48.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>Palm Beach County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>192721</td>\n",
       "      <td>100</td>\n",
       "      <td>9.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>24.5</td>\n",
       "      <td>7.8</td>\n",
       "      <td>66.4</td>\n",
       "      <td>58.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Fairfax County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>187467</td>\n",
       "      <td>100</td>\n",
       "      <td>4.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>21.9</td>\n",
       "      <td>16.4</td>\n",
       "      <td>73.6</td>\n",
       "      <td>68.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Hawaii County</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>181550</td>\n",
       "      <td>100</td>\n",
       "      <td>8.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>89.1</td>\n",
       "      <td>44.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Gwinnett County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>178214</td>\n",
       "      <td>100</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>48.0</td>\n",
       "      <td>30.7</td>\n",
       "      <td>44.6</td>\n",
       "      <td>37.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>Wake County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>160467</td>\n",
       "      <td>100</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>61.1</td>\n",
       "      <td>61.1</td>\n",
       "      <td>31.5</td>\n",
       "      <td>28.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>159010</td>\n",
       "      <td>100</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>27.9</td>\n",
       "      <td>11.7</td>\n",
       "      <td>68.3</td>\n",
       "      <td>67.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>157886</td>\n",
       "      <td>100</td>\n",
       "      <td>14.8</td>\n",
       "      <td>3.9</td>\n",
       "      <td>17.7</td>\n",
       "      <td>14.1</td>\n",
       "      <td>67.5</td>\n",
       "      <td>64.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>Charlotte/Mecklenburg</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>147428</td>\n",
       "      <td>100</td>\n",
       "      <td>10.3</td>\n",
       "      <td>3.2</td>\n",
       "      <td>56.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>33.7</td>\n",
       "      <td>29.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>Philadelphia County</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>133929</td>\n",
       "      <td>100</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>48.9</td>\n",
       "      <td>33.2</td>\n",
       "      <td>41.1</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>Prince George's County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>130814</td>\n",
       "      <td>100</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>53.5</td>\n",
       "      <td>25.7</td>\n",
       "      <td>40.1</td>\n",
       "      <td>37.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>Duval County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>129479</td>\n",
       "      <td>100</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>50.2</td>\n",
       "      <td>25.3</td>\n",
       "      <td>37.8</td>\n",
       "      <td>32.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>San Diego County</td>\n",
       "      <td>California</td>\n",
       "      <td>128040</td>\n",
       "      <td>100</td>\n",
       "      <td>9.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>33.5</td>\n",
       "      <td>20.3</td>\n",
       "      <td>57.3</td>\n",
       "      <td>49.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>114868</td>\n",
       "      <td>100</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>31.6</td>\n",
       "      <td>27.8</td>\n",
       "      <td>60.9</td>\n",
       "      <td>55.8</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Cobb County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>113151</td>\n",
       "      <td>100</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1.8</td>\n",
       "      <td>40.4</td>\n",
       "      <td>17.1</td>\n",
       "      <td>52.8</td>\n",
       "      <td>43.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>Baltimore County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>112139</td>\n",
       "      <td>100</td>\n",
       "      <td>5.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>41.7</td>\n",
       "      <td>20.9</td>\n",
       "      <td>52.6</td>\n",
       "      <td>51.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Shelby County</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>111403</td>\n",
       "      <td>100</td>\n",
       "      <td>18.4</td>\n",
       "      <td>6.1</td>\n",
       "      <td>39.4</td>\n",
       "      <td>38.0</td>\n",
       "      <td>42.1</td>\n",
       "      <td>36.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>Houston County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>106145</td>\n",
       "      <td>100</td>\n",
       "      <td>9.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>30.1</td>\n",
       "      <td>26.2</td>\n",
       "      <td>60.0</td>\n",
       "      <td>55.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>Pinellas County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>102905</td>\n",
       "      <td>100</td>\n",
       "      <td>10.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>34.1</td>\n",
       "      <td>13.7</td>\n",
       "      <td>55.2</td>\n",
       "      <td>50.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>Polk County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>102295</td>\n",
       "      <td>100</td>\n",
       "      <td>12.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>54.2</td>\n",
       "      <td>27.2</td>\n",
       "      <td>33.1</td>\n",
       "      <td>24.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>101284</td>\n",
       "      <td>100</td>\n",
       "      <td>8.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>39.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>99813</td>\n",
       "      <td>100</td>\n",
       "      <td>11.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>38.8</td>\n",
       "      <td>19.3</td>\n",
       "      <td>49.5</td>\n",
       "      <td>47.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>Fulton County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>96122</td>\n",
       "      <td>100</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>30.7</td>\n",
       "      <td>19.1</td>\n",
       "      <td>63.1</td>\n",
       "      <td>54.4</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>Lee County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>92686</td>\n",
       "      <td>100</td>\n",
       "      <td>12.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>29.4</td>\n",
       "      <td>10.9</td>\n",
       "      <td>58.3</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>32</td>\n",
       "      <td>Denver County</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>91138</td>\n",
       "      <td>100</td>\n",
       "      <td>8.8</td>\n",
       "      <td>2.3</td>\n",
       "      <td>26.2</td>\n",
       "      <td>22.1</td>\n",
       "      <td>64.9</td>\n",
       "      <td>53.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>33</td>\n",
       "      <td>Bernalillo County</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>90651</td>\n",
       "      <td>100</td>\n",
       "      <td>11.9</td>\n",
       "      <td>3.5</td>\n",
       "      <td>67.7</td>\n",
       "      <td>62.1</td>\n",
       "      <td>20.4</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>34</td>\n",
       "      <td>Prince William County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>89345</td>\n",
       "      <td>100</td>\n",
       "      <td>5.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>41.1</td>\n",
       "      <td>29.4</td>\n",
       "      <td>53.2</td>\n",
       "      <td>46.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>87,428</td>\n",
       "      <td>100</td>\n",
       "      <td>13.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>41.2</td>\n",
       "      <td>36.8</td>\n",
       "      <td>45.5</td>\n",
       "      <td>42.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>36</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>86371</td>\n",
       "      <td>100</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>42.1</td>\n",
       "      <td>38.4</td>\n",
       "      <td>52.9</td>\n",
       "      <td>44.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>37</td>\n",
       "      <td>Davidson County</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>85163</td>\n",
       "      <td>100</td>\n",
       "      <td>11.5</td>\n",
       "      <td>3.1</td>\n",
       "      <td>28.1</td>\n",
       "      <td>26.7</td>\n",
       "      <td>60.4</td>\n",
       "      <td>57.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>Austin</td>\n",
       "      <td>Texas</td>\n",
       "      <td>83067</td>\n",
       "      <td>100</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>85.9</td>\n",
       "      <td>82.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>39</td>\n",
       "      <td>Baltimore County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>82354</td>\n",
       "      <td>100</td>\n",
       "      <td>11.5</td>\n",
       "      <td>4.1</td>\n",
       "      <td>67.8</td>\n",
       "      <td>27.9</td>\n",
       "      <td>20.8</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>40</td>\n",
       "      <td>Anne Arundel County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>81379</td>\n",
       "      <td>100</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>17.3</td>\n",
       "      <td>58.7</td>\n",
       "      <td>57.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>41</td>\n",
       "      <td>Utah County</td>\n",
       "      <td>Utah</td>\n",
       "      <td>78957</td>\n",
       "      <td>100</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>59.5</td>\n",
       "      <td>34.4</td>\n",
       "      <td>35.0</td>\n",
       "      <td>27.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>Loudoun County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>78348</td>\n",
       "      <td>100</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>27.9</td>\n",
       "      <td>21.4</td>\n",
       "      <td>70.1</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>Greenville County</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>76918</td>\n",
       "      <td>100</td>\n",
       "      <td>8.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>51.5</td>\n",
       "      <td>12.9</td>\n",
       "      <td>40.2</td>\n",
       "      <td>29.9</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>California</td>\n",
       "      <td>76428</td>\n",
       "      <td>100</td>\n",
       "      <td>10.1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>65.9</td>\n",
       "      <td>50.6</td>\n",
       "      <td>24.0</td>\n",
       "      <td>16.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>45</td>\n",
       "      <td>Milwaukee County</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>76206</td>\n",
       "      <td>100</td>\n",
       "      <td>14.9</td>\n",
       "      <td>6.1</td>\n",
       "      <td>57.7</td>\n",
       "      <td>44.0</td>\n",
       "      <td>27.4</td>\n",
       "      <td>18.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>46</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>75428</td>\n",
       "      <td>100</td>\n",
       "      <td>5.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>27.9</td>\n",
       "      <td>23.3</td>\n",
       "      <td>66.9</td>\n",
       "      <td>62.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>47</td>\n",
       "      <td>Fort Bend County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>74146</td>\n",
       "      <td>100</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>30.0</td>\n",
       "      <td>25.8</td>\n",
       "      <td>63.6</td>\n",
       "      <td>60.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>48</td>\n",
       "      <td>Brevard County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>73444</td>\n",
       "      <td>100</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.4</td>\n",
       "      <td>45.8</td>\n",
       "      <td>20.6</td>\n",
       "      <td>44.2</td>\n",
       "      <td>38.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>49</td>\n",
       "      <td>Fresno County</td>\n",
       "      <td>California</td>\n",
       "      <td>73356</td>\n",
       "      <td>100</td>\n",
       "      <td>12.1</td>\n",
       "      <td>4.3</td>\n",
       "      <td>75.4</td>\n",
       "      <td>60.2</td>\n",
       "      <td>12.5</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>50</td>\n",
       "      <td>Guilford County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>73059</td>\n",
       "      <td>100</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>56.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>27.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>51</td>\n",
       "      <td>Davis County</td>\n",
       "      <td>Utah</td>\n",
       "      <td>72987</td>\n",
       "      <td>100</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>56.9</td>\n",
       "      <td>32.4</td>\n",
       "      <td>35.5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>Pasco County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>72493</td>\n",
       "      <td>100</td>\n",
       "      <td>10.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>54.9</td>\n",
       "      <td>27.3</td>\n",
       "      <td>34.7</td>\n",
       "      <td>26.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>53</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>69768</td>\n",
       "      <td>100</td>\n",
       "      <td>14.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>49.5</td>\n",
       "      <td>44.9</td>\n",
       "      <td>36.2</td>\n",
       "      <td>33.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>54</td>\n",
       "      <td>Salt Lake County</td>\n",
       "      <td>Utah</td>\n",
       "      <td>69580</td>\n",
       "      <td>100</td>\n",
       "      <td>11.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>54.0</td>\n",
       "      <td>31.4</td>\n",
       "      <td>34.3</td>\n",
       "      <td>28.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55</td>\n",
       "      <td>Virginia Beach City County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>69085</td>\n",
       "      <td>100</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1.6</td>\n",
       "      <td>42.8</td>\n",
       "      <td>31.6</td>\n",
       "      <td>49.7</td>\n",
       "      <td>44.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>56</td>\n",
       "      <td>Seminole County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>67808</td>\n",
       "      <td>100</td>\n",
       "      <td>8.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>47.2</td>\n",
       "      <td>22.5</td>\n",
       "      <td>44.4</td>\n",
       "      <td>37.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>57</td>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>67531</td>\n",
       "      <td>100</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.9</td>\n",
       "      <td>71.1</td>\n",
       "      <td>66.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>58</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>67470</td>\n",
       "      <td>100</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>46.2</td>\n",
       "      <td>42.8</td>\n",
       "      <td>51.1</td>\n",
       "      <td>37.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>9.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>59</td>\n",
       "      <td>Washoe County</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>66671</td>\n",
       "      <td>100</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>65.3</td>\n",
       "      <td>21.5</td>\n",
       "      <td>25.2</td>\n",
       "      <td>22.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>60</td>\n",
       "      <td>Maricopa County</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>63444</td>\n",
       "      <td>100</td>\n",
       "      <td>12.1</td>\n",
       "      <td>3.6</td>\n",
       "      <td>46.1</td>\n",
       "      <td>45.3</td>\n",
       "      <td>41.9</td>\n",
       "      <td>32.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>61</td>\n",
       "      <td>Sacramento County</td>\n",
       "      <td>California</td>\n",
       "      <td>63061</td>\n",
       "      <td>100</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>72.9</td>\n",
       "      <td>54.5</td>\n",
       "      <td>19.8</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>62</td>\n",
       "      <td>Osceola County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>63031</td>\n",
       "      <td>100</td>\n",
       "      <td>11.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>50.5</td>\n",
       "      <td>24.5</td>\n",
       "      <td>37.8</td>\n",
       "      <td>27.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>63</td>\n",
       "      <td>Volusia County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>63028</td>\n",
       "      <td>100</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>43.3</td>\n",
       "      <td>19.0</td>\n",
       "      <td>46.7</td>\n",
       "      <td>40.9</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>64</td>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>62181</td>\n",
       "      <td>100</td>\n",
       "      <td>10.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>39.4</td>\n",
       "      <td>35.2</td>\n",
       "      <td>50.3</td>\n",
       "      <td>47.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>65</td>\n",
       "      <td>Knox County</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>60372</td>\n",
       "      <td>100</td>\n",
       "      <td>10.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>35.7</td>\n",
       "      <td>52.9</td>\n",
       "      <td>45.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>66</td>\n",
       "      <td>San Francisco County</td>\n",
       "      <td>California</td>\n",
       "      <td>60133</td>\n",
       "      <td>100</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>19.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>75.3</td>\n",
       "      <td>61.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>67</td>\n",
       "      <td>Chesterfield County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>60060</td>\n",
       "      <td>100</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>48.2</td>\n",
       "      <td>36.4</td>\n",
       "      <td>46.2</td>\n",
       "      <td>42.3</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>68</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>59764</td>\n",
       "      <td>100</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>22.8</td>\n",
       "      <td>18.4</td>\n",
       "      <td>71.3</td>\n",
       "      <td>67.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>69</td>\n",
       "      <td>El Paso County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>59424</td>\n",
       "      <td>100</td>\n",
       "      <td>15.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>51.5</td>\n",
       "      <td>46.5</td>\n",
       "      <td>33.3</td>\n",
       "      <td>31.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>70</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>57133</td>\n",
       "      <td>100</td>\n",
       "      <td>9.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>52.0</td>\n",
       "      <td>44.5</td>\n",
       "      <td>38.8</td>\n",
       "      <td>35.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>71</td>\n",
       "      <td>Mobile County</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>56628</td>\n",
       "      <td>100</td>\n",
       "      <td>13.8</td>\n",
       "      <td>4.3</td>\n",
       "      <td>57.0</td>\n",
       "      <td>47.6</td>\n",
       "      <td>29.1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>72</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>56282</td>\n",
       "      <td>100</td>\n",
       "      <td>11.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>57.2</td>\n",
       "      <td>50.0</td>\n",
       "      <td>31.5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>73</td>\n",
       "      <td>Collin County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>55923</td>\n",
       "      <td>100</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>22.1</td>\n",
       "      <td>18.5</td>\n",
       "      <td>75.7</td>\n",
       "      <td>68.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>74</td>\n",
       "      <td>Howard County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>55626</td>\n",
       "      <td>100</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>33.3</td>\n",
       "      <td>16.5</td>\n",
       "      <td>63.7</td>\n",
       "      <td>62.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>75</td>\n",
       "      <td>Forsyth County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>55228</td>\n",
       "      <td>100</td>\n",
       "      <td>12.3</td>\n",
       "      <td>4.1</td>\n",
       "      <td>59.7</td>\n",
       "      <td>59.2</td>\n",
       "      <td>28.0</td>\n",
       "      <td>23.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>76</td>\n",
       "      <td>Arapahoe County</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>54852</td>\n",
       "      <td>100</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>42.5</td>\n",
       "      <td>38.9</td>\n",
       "      <td>53.2</td>\n",
       "      <td>45.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>77</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>California</td>\n",
       "      <td>54505</td>\n",
       "      <td>100</td>\n",
       "      <td>10.9</td>\n",
       "      <td>2.4</td>\n",
       "      <td>64.4</td>\n",
       "      <td>47.6</td>\n",
       "      <td>24.7</td>\n",
       "      <td>19.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>78</td>\n",
       "      <td>Clayton County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>54345</td>\n",
       "      <td>100</td>\n",
       "      <td>13.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>53.4</td>\n",
       "      <td>38.1</td>\n",
       "      <td>33.5</td>\n",
       "      <td>29.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>78</td>\n",
       "      <td>King County</td>\n",
       "      <td>Washington</td>\n",
       "      <td>54345</td>\n",
       "      <td>100</td>\n",
       "      <td>13.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>53.4</td>\n",
       "      <td>38.1</td>\n",
       "      <td>33.5</td>\n",
       "      <td>29.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>79</td>\n",
       "      <td>Collin County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>54215</td>\n",
       "      <td>100</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>48.8</td>\n",
       "      <td>35.7</td>\n",
       "      <td>45.7</td>\n",
       "      <td>39.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>80</td>\n",
       "      <td>Suffolk County</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>54173</td>\n",
       "      <td>100</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>87.8</td>\n",
       "      <td>83.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>81</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>California</td>\n",
       "      <td>53640</td>\n",
       "      <td>100</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.4</td>\n",
       "      <td>24.1</td>\n",
       "      <td>14.1</td>\n",
       "      <td>70.2</td>\n",
       "      <td>67.8</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>82</td>\n",
       "      <td>Salt Lake County</td>\n",
       "      <td>Utah</td>\n",
       "      <td>53613</td>\n",
       "      <td>100</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>34.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>61.2</td>\n",
       "      <td>57.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>83</td>\n",
       "      <td>Denton County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>53416</td>\n",
       "      <td>100</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55.9</td>\n",
       "      <td>33.3</td>\n",
       "      <td>37.5</td>\n",
       "      <td>30.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>84</td>\n",
       "      <td>Riverside County</td>\n",
       "      <td>California</td>\n",
       "      <td>53257</td>\n",
       "      <td>100</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.7</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.1</td>\n",
       "      <td>79.7</td>\n",
       "      <td>74.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>85</td>\n",
       "      <td>San Bernardino County</td>\n",
       "      <td>California</td>\n",
       "      <td>53157</td>\n",
       "      <td>100</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.1</td>\n",
       "      <td>64.1</td>\n",
       "      <td>47.9</td>\n",
       "      <td>30.3</td>\n",
       "      <td>20.9</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>86</td>\n",
       "      <td>Bexar County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>53152</td>\n",
       "      <td>100</td>\n",
       "      <td>10.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>77.5</td>\n",
       "      <td>62.2</td>\n",
       "      <td>11.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>87</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>52514</td>\n",
       "      <td>100</td>\n",
       "      <td>19.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>42.5</td>\n",
       "      <td>38.5</td>\n",
       "      <td>37.6</td>\n",
       "      <td>35.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>88</td>\n",
       "      <td>Fulton County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>52344</td>\n",
       "      <td>100</td>\n",
       "      <td>11.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>41.0</td>\n",
       "      <td>33.1</td>\n",
       "      <td>47.5</td>\n",
       "      <td>45.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>89</td>\n",
       "      <td>Klein</td>\n",
       "      <td>Texas</td>\n",
       "      <td>51927</td>\n",
       "      <td>100</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>19.6</td>\n",
       "      <td>12.5</td>\n",
       "      <td>72.4</td>\n",
       "      <td>56.5</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>91</td>\n",
       "      <td>Henrico County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>51425</td>\n",
       "      <td>100</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.7</td>\n",
       "      <td>32.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>45.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>92</td>\n",
       "      <td>Cumberland County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>51194</td>\n",
       "      <td>100</td>\n",
       "      <td>14.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>63.2</td>\n",
       "      <td>62.2</td>\n",
       "      <td>22.4</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>93</td>\n",
       "      <td>Sedgwick County</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>50600</td>\n",
       "      <td>100</td>\n",
       "      <td>11.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>69.3</td>\n",
       "      <td>53.9</td>\n",
       "      <td>19.4</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>94</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>50331</td>\n",
       "      <td>100</td>\n",
       "      <td>10.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>26.2</td>\n",
       "      <td>19.6</td>\n",
       "      <td>63.4</td>\n",
       "      <td>53.6</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>95</td>\n",
       "      <td>Alameda County</td>\n",
       "      <td>California</td>\n",
       "      <td>49760</td>\n",
       "      <td>100</td>\n",
       "      <td>9.4</td>\n",
       "      <td>2.6</td>\n",
       "      <td>51.8</td>\n",
       "      <td>38.1</td>\n",
       "      <td>38.8</td>\n",
       "      <td>28.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>96</td>\n",
       "      <td>Nevada County</td>\n",
       "      <td>California</td>\n",
       "      <td>49255</td>\n",
       "      <td>100</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>29.2</td>\n",
       "      <td>24.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>97</td>\n",
       "      <td>Manatee County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>48884</td>\n",
       "      <td>100</td>\n",
       "      <td>10.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>33.6</td>\n",
       "      <td>13.3</td>\n",
       "      <td>56.0</td>\n",
       "      <td>47.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>98</td>\n",
       "      <td>Jefferson Parish</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>48668</td>\n",
       "      <td>100</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>37.5</td>\n",
       "      <td>36.1</td>\n",
       "      <td>49.5</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>99</td>\n",
       "      <td>Charleston County</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>48551</td>\n",
       "      <td>100</td>\n",
       "      <td>8.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>30.5</td>\n",
       "      <td>5.4</td>\n",
       "      <td>61.4</td>\n",
       "      <td>52.6</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rank               School System           State Enrollment  \\\n",
       "0      0             New York County        New York     984462   \n",
       "1      1          Los Angeles County      California     633621   \n",
       "2      2                 Cook County        Illinois     378199   \n",
       "3      3           Miami-Dade County         Florida     357249   \n",
       "4      4                Clark County          Nevada     326953   \n",
       "5      5              Broward County         Florida     271852   \n",
       "6      6              Houston County           Texas     216106   \n",
       "7      7         Hillsborough County         Florida     214386   \n",
       "8      8               Orange County         Florida     200674   \n",
       "9      9           Palm Beach County         Florida     192721   \n",
       "10    10              Fairfax County        Virginia     187467   \n",
       "11    11               Hawaii County          Hawaii     181550   \n",
       "12    12             Gwinnett County         Georgia     178214   \n",
       "13    13                 Wake County  North Carolina     160467   \n",
       "14    14           Montgomery County        Maryland     159010   \n",
       "15    15               Dallas County           Texas     157886   \n",
       "16    16       Charlotte/Mecklenburg  North Carolina     147428   \n",
       "17    17         Philadelphia County    Pennsylvania     133929   \n",
       "18    18      Prince George's County        Maryland     130814   \n",
       "19    19                Duval County         Florida     129479   \n",
       "20    20            San Diego County      California     128040   \n",
       "21    21               Harris County           Texas     114868   \n",
       "22    22                 Cobb County         Georgia     113151   \n",
       "23    23            Baltimore County        Maryland     112139   \n",
       "24    24               Shelby County       Tennessee     111403   \n",
       "25    25              Houston County           Texas     106145   \n",
       "26    26             Pinellas County         Florida     102905   \n",
       "27    27                 Polk County         Florida     102295   \n",
       "28    28               DeKalb County         Georgia     101284   \n",
       "29    29            Jefferson County        Kentucky      99813   \n",
       "30    30               Fulton County         Georgia      96122   \n",
       "31    31                  Lee County         Florida      92686   \n",
       "32    32               Denver County        Colorado      91138   \n",
       "33    33           Bernalillo County      New Mexico      90651   \n",
       "34    34       Prince William County        Virginia      89345   \n",
       "35    35              Tarrant County           Texas     87,428   \n",
       "36    36            Jefferson County        Colorado      86371   \n",
       "37    37             Davidson County       Tennessee      85163   \n",
       "38    38                      Austin           Texas      83067   \n",
       "39    39            Baltimore County        Maryland      82354   \n",
       "40    40         Anne Arundel County        Maryland      81379   \n",
       "41    41                 Utah County            Utah      78957   \n",
       "42    42              Loudoun County        Virginia      78348   \n",
       "43    43           Greenville County  South Carolina      76918   \n",
       "44    44          Los Angeles County      California      76428   \n",
       "45    45            Milwaukee County       Wisconsin      76206   \n",
       "46    46               Harris County           Texas      75428   \n",
       "47    47            Fort Bend County           Texas      74146   \n",
       "48    48              Brevard County         Florida      73444   \n",
       "49    49               Fresno County      California      73356   \n",
       "50    50             Guilford County  North Carolina      73059   \n",
       "51    51                Davis County            Utah      72987   \n",
       "52    52                Pasco County         Florida      72493   \n",
       "53    53               Harris County           Texas      69768   \n",
       "54    54            Salt Lake County            Utah      69580   \n",
       "55    55  Virginia Beach City County        Virginia      69085   \n",
       "56    56             Seminole County         Florida      67808   \n",
       "57    57              Tarrant County           Texas      67531   \n",
       "58    58              Douglas County        Colorado      67470   \n",
       "59    59               Washoe County          Nevada      66671   \n",
       "60    60             Maricopa County         Arizona      63444   \n",
       "61    61           Sacramento County      California      63061   \n",
       "62    62              Osceola County         Florida      63031   \n",
       "63    63              Volusia County         Florida      63028   \n",
       "64    64              Tarrant County           Texas      62181   \n",
       "65    65                 Knox County       Tennessee      60372   \n",
       "66    66        San Francisco County      California      60133   \n",
       "67    67         Chesterfield County        Virginia      60060   \n",
       "68    68           Montgomery County           Texas      59764   \n",
       "69    69              El Paso County           Texas      59424   \n",
       "70    70               Dallas County           Texas      57133   \n",
       "71    71               Mobile County         Alabama      56628   \n",
       "72    72               Harris County           Texas      56282   \n",
       "73    73               Collin County           Texas      55923   \n",
       "74    74               Howard County        Maryland      55626   \n",
       "75    75              Forsyth County  North Carolina      55228   \n",
       "76    76             Arapahoe County        Colorado      54852   \n",
       "77    77               Orange County      California      54505   \n",
       "78    78              Clayton County         Georgia      54345   \n",
       "79    78                 King County      Washington      54345   \n",
       "80    79               Collin County           Texas      54215   \n",
       "81    80              Suffolk County   Massachusetts      54173   \n",
       "82    81               Orange County      California      53640   \n",
       "83    82            Salt Lake County            Utah      53613   \n",
       "84    83               Denton County           Texas      53416   \n",
       "85    84            Riverside County      California      53257   \n",
       "86    85       San Bernardino County      California      53157   \n",
       "87    86                Bexar County           Texas      53152   \n",
       "88    87              Douglas County        Nebraska      52514   \n",
       "89    88               Fulton County         Georgia      52344   \n",
       "90    89                       Klein           Texas      51927   \n",
       "91    91              Henrico County        Virginia      51425   \n",
       "92    92           Cumberland County  North Carolina      51194   \n",
       "93    93             Sedgwick County          Kansas      50600   \n",
       "94    94             Franklin County            Ohio      50331   \n",
       "95    95              Alameda County      California      49760   \n",
       "96    96               Nevada County      California      49255   \n",
       "97    97              Manatee County         Florida      48884   \n",
       "98    98            Jefferson Parish       Louisiana      48668   \n",
       "99    99           Charleston County  South Carolina      48551   \n",
       "\n",
       "    Overall Total Percentage  Federal Total Percentage  Federal Title I  \\\n",
       "0                        100                       6.9              3.2   \n",
       "1                        100                      10.8              3.6   \n",
       "2                        100                      13.4              5.0   \n",
       "3                        100                      12.3              3.8   \n",
       "4                        100                       9.2              2.9   \n",
       "5                        100                      10.9              2.5   \n",
       "6                        100                      12.1              3.7   \n",
       "7                        100                      14.3              3.2   \n",
       "8                        100                       9.6              2.7   \n",
       "9                        100                       9.1              2.3   \n",
       "10                       100                       4.4              0.7   \n",
       "11                       100                       8.9              1.8   \n",
       "12                       100                       7.4              2.1   \n",
       "13                       100                       7.4              1.8   \n",
       "14                       100                       3.8              0.8   \n",
       "15                       100                      14.8              3.9   \n",
       "16                       100                      10.3              3.2   \n",
       "17                       100                      10.0              4.4   \n",
       "18                       100                       6.4              1.6   \n",
       "19                       100                      12.0              3.3   \n",
       "20                       100                       9.1              2.2   \n",
       "21                       100                       7.5              1.5   \n",
       "22                       100                       6.7              1.8   \n",
       "23                       100                       5.7              1.5   \n",
       "24                       100                      18.4              6.1   \n",
       "25                       100                       9.9              1.8   \n",
       "26                       100                      10.8              2.6   \n",
       "27                       100                      12.7              3.2   \n",
       "28                       100                       8.1              2.5   \n",
       "29                       100                      11.7              3.1   \n",
       "30                       100                       6.2              2.3   \n",
       "31                       100                      12.2              3.0   \n",
       "32                       100                       8.8              2.3   \n",
       "33                       100                      11.9              3.5   \n",
       "34                       100                       5.7              1.2   \n",
       "35                       100                      13.3              4.0   \n",
       "36                       100                       5.0              1.2   \n",
       "37                       100                      11.5              3.1   \n",
       "38                       100                       7.9              1.8   \n",
       "39                       100                      11.5              4.1   \n",
       "40                       100                       4.6              1.0   \n",
       "41                       100                       5.5              1.3   \n",
       "42                       100                       2.1              0.2   \n",
       "43                       100                       8.3              2.9   \n",
       "44                       100                      10.1              2.7   \n",
       "45                       100                      14.9              6.1   \n",
       "46                       100                       5.1              0.7   \n",
       "47                       100                       6.3              1.2   \n",
       "48                       100                      10.0              2.4   \n",
       "49                       100                      12.1              4.3   \n",
       "50                       100                      14.0              3.6   \n",
       "51                       100                       7.6              1.3   \n",
       "52                       100                      10.4              2.3   \n",
       "53                       100                      14.3              3.6   \n",
       "54                       100                      11.7              3.3   \n",
       "55                       100                       7.6              1.6   \n",
       "56                       100                       8.4              1.9   \n",
       "57                       100                       7.9              1.7   \n",
       "58                       100                       2.7              0.3   \n",
       "59                       100                       9.5              2.2   \n",
       "60                       100                      12.1              3.6   \n",
       "61                       100                       7.4              2.0   \n",
       "62                       100                      11.7              2.8   \n",
       "63                       100                      10.0              2.9   \n",
       "64                       100                      10.3              2.7   \n",
       "65                       100                      10.6              3.0   \n",
       "66                       100                       5.5              1.2   \n",
       "67                       100                       5.6              1.0   \n",
       "68                       100                       5.9              1.2   \n",
       "69                       100                      15.2              4.4   \n",
       "70                       100                       9.2              2.1   \n",
       "71                       100                      13.8              4.3   \n",
       "72                       100                      11.3              2.7   \n",
       "73                       100                       2.2              0.1   \n",
       "74                       100                       3.0              0.6   \n",
       "75                       100                      12.3              4.1   \n",
       "76                       100                       4.2              0.8   \n",
       "77                       100                      10.9              2.4   \n",
       "78                       100                      13.1              3.9   \n",
       "79                       100                      13.1              3.9   \n",
       "80                       100                       5.5              1.5   \n",
       "81                       100                       4.5              0.7   \n",
       "82                       100                       5.7              2.4   \n",
       "83                       100                       4.0              0.8   \n",
       "84                       100                       6.6              1.0   \n",
       "85                       100                       5.3              0.7   \n",
       "86                       100                       5.6              1.1   \n",
       "87                       100                      10.7              3.9   \n",
       "88                       100                      19.9              4.2   \n",
       "89                       100                      11.4              2.8   \n",
       "90                       100                       8.0              3.5   \n",
       "91                       100                       7.8              2.0   \n",
       "92                       100                      14.4              3.2   \n",
       "93                       100                      11.3              3.6   \n",
       "94                       100                      10.4              4.0   \n",
       "95                       100                       9.4              2.6   \n",
       "96                       100                       6.9              2.0   \n",
       "97                       100                      10.4              2.8   \n",
       "98                       100                      13.0              4.3   \n",
       "99                       100                       8.2              2.0   \n",
       "\n",
       "    State Total Percentage  State General Formula Assistance  \\\n",
       "0                     37.1                              25.2   \n",
       "1                     62.8                              48.0   \n",
       "2                     34.4                              28.3   \n",
       "3                     29.9                              10.0   \n",
       "4                     62.2                              18.9   \n",
       "5                     38.8                              16.7   \n",
       "6                      8.1                               5.1   \n",
       "7                     50.5                              23.9   \n",
       "8                     34.5                              14.8   \n",
       "9                     24.5                               7.8   \n",
       "10                    21.9                              16.4   \n",
       "11                    89.1                              44.1   \n",
       "12                    48.0                              30.7   \n",
       "13                    61.1                              61.1   \n",
       "14                    27.9                              11.7   \n",
       "15                    17.7                              14.1   \n",
       "16                    56.0                              55.0   \n",
       "17                    48.9                              33.2   \n",
       "18                    53.5                              25.7   \n",
       "19                    50.2                              25.3   \n",
       "20                    33.5                              20.3   \n",
       "21                    31.6                              27.8   \n",
       "22                    40.4                              17.1   \n",
       "23                    41.7                              20.9   \n",
       "24                    39.4                              38.0   \n",
       "25                    30.1                              26.2   \n",
       "26                    34.1                              13.7   \n",
       "27                    54.2                              27.2   \n",
       "28                    39.9                              19.0   \n",
       "29                    38.8                              19.3   \n",
       "30                    30.7                              19.1   \n",
       "31                    29.4                              10.9   \n",
       "32                    26.2                              22.1   \n",
       "33                    67.7                              62.1   \n",
       "34                    41.1                              29.4   \n",
       "35                    41.2                              36.8   \n",
       "36                    42.1                              38.4   \n",
       "37                    28.1                              26.7   \n",
       "38                     6.2                               3.4   \n",
       "39                    67.8                              27.9   \n",
       "40                    36.7                              17.3   \n",
       "41                    59.5                              34.4   \n",
       "42                    27.9                              21.4   \n",
       "43                    51.5                              12.9   \n",
       "44                    65.9                              50.6   \n",
       "45                    57.7                              44.0   \n",
       "46                    27.9                              23.3   \n",
       "47                    30.0                              25.8   \n",
       "48                    45.8                              20.6   \n",
       "49                    75.4                              60.2   \n",
       "50                    56.0                              55.0   \n",
       "51                    56.9                              32.4   \n",
       "52                    54.9                              27.3   \n",
       "53                    49.5                              44.9   \n",
       "54                    54.0                              31.4   \n",
       "55                    42.8                              31.6   \n",
       "56                    47.2                              22.5   \n",
       "57                    21.0                              16.9   \n",
       "58                    46.2                              42.8   \n",
       "59                    65.3                              21.5   \n",
       "60                    46.1                              45.3   \n",
       "61                    72.9                              54.5   \n",
       "62                    50.5                              24.5   \n",
       "63                    43.3                              19.0   \n",
       "64                    39.4                              35.2   \n",
       "65                    36.5                              35.7   \n",
       "66                    19.2                              10.4   \n",
       "67                    48.2                              36.4   \n",
       "68                    22.8                              18.4   \n",
       "69                    51.5                              46.5   \n",
       "70                    52.0                              44.5   \n",
       "71                    57.0                              47.6   \n",
       "72                    57.2                              50.0   \n",
       "73                    22.1                              18.5   \n",
       "74                    33.3                              16.5   \n",
       "75                    59.7                              59.2   \n",
       "76                    42.5                              38.9   \n",
       "77                    64.4                              47.6   \n",
       "78                    53.4                              38.1   \n",
       "79                    53.4                              38.1   \n",
       "80                    48.8                              35.7   \n",
       "81                     7.7                               4.5   \n",
       "82                    24.1                              14.1   \n",
       "83                    34.8                              18.0   \n",
       "84                    55.9                              33.3   \n",
       "85                    15.0                              11.1   \n",
       "86                    64.1                              47.9   \n",
       "87                    77.5                              62.2   \n",
       "88                    42.5                              38.5   \n",
       "89                    41.0                              33.1   \n",
       "90                    19.6                              12.5   \n",
       "91                    43.7                              32.0   \n",
       "92                    63.2                              62.2   \n",
       "93                    69.3                              53.9   \n",
       "94                    26.2                              19.6   \n",
       "95                    51.8                              38.1   \n",
       "96                    64.0                              48.0   \n",
       "97                    33.6                              13.3   \n",
       "98                    37.5                              36.1   \n",
       "99                    30.5                               5.4   \n",
       "\n",
       "    Local Total Percentage  Local Taxes Parent Government Contributions  \\\n",
       "0                     56.0                                         52.1   \n",
       "1                     26.3                                         20.2   \n",
       "2                     52.2                                         46.5   \n",
       "3                     57.8                                         52.5   \n",
       "4                     28.6                                         26.9   \n",
       "5                     50.3                                         43.3   \n",
       "6                     79.8                                         75.9   \n",
       "7                     35.2                                         28.7   \n",
       "8                     55.9                                         48.7   \n",
       "9                     66.4                                         58.4   \n",
       "10                    73.6                                         68.7   \n",
       "11                     2.0                                          0.0   \n",
       "12                    44.6                                         37.9   \n",
       "13                    31.5                                         28.5   \n",
       "14                    68.3                                         67.4   \n",
       "15                    67.5                                         64.8   \n",
       "16                    33.7                                         29.6   \n",
       "17                    41.1                                         36.0   \n",
       "18                    40.1                                         37.8   \n",
       "19                    37.8                                         32.1   \n",
       "20                    57.3                                         49.2   \n",
       "21                    60.9                                         55.8   \n",
       "22                    52.8                                         43.8   \n",
       "23                    52.6                                         51.6   \n",
       "24                    42.1                                         36.1   \n",
       "25                    60.0                                         55.9   \n",
       "26                    55.2                                         50.1   \n",
       "27                    33.1                                         24.6   \n",
       "28                    52.0                                         46.0   \n",
       "29                    49.5                                         47.3   \n",
       "30                    63.1                                         54.4   \n",
       "31                    58.3                                         52.5   \n",
       "32                    64.9                                         53.1   \n",
       "33                    20.4                                         15.2   \n",
       "34                    53.2                                         46.2   \n",
       "35                    45.5                                         42.5   \n",
       "36                    52.9                                         44.2   \n",
       "37                    60.4                                         57.9   \n",
       "38                    85.9                                         82.6   \n",
       "39                    20.8                                         19.4   \n",
       "40                    58.7                                         57.4   \n",
       "41                    35.0                                         27.6   \n",
       "42                    70.1                                         65.0   \n",
       "43                    40.2                                         29.9   \n",
       "44                    24.0                                         16.1   \n",
       "45                    27.4                                         18.1   \n",
       "46                    66.9                                         62.2   \n",
       "47                    63.6                                         60.6   \n",
       "48                    44.2                                         38.4   \n",
       "49                    12.5                                          9.8   \n",
       "50                    30.1                                         27.2   \n",
       "51                    35.5                                         27.8   \n",
       "52                    34.7                                         26.9   \n",
       "53                    36.2                                         33.5   \n",
       "54                    34.3                                         28.6   \n",
       "55                    49.7                                         44.9   \n",
       "56                    44.4                                         37.7   \n",
       "57                    71.1                                         66.6   \n",
       "58                    51.1                                         37.2   \n",
       "59                    25.2                                         22.5   \n",
       "60                    41.9                                         32.1   \n",
       "61                    19.8                                         16.1   \n",
       "62                    37.8                                         27.2   \n",
       "63                    46.7                                         40.9   \n",
       "64                    50.3                                         47.3   \n",
       "65                    52.9                                         45.3   \n",
       "66                    75.3                                         61.1   \n",
       "67                    46.2                                         42.3   \n",
       "68                    71.3                                         67.9   \n",
       "69                    33.3                                         31.5   \n",
       "70                    38.8                                         35.5   \n",
       "71                    29.1                                         22.0   \n",
       "72                    31.5                                         27.8   \n",
       "73                    75.7                                         68.7   \n",
       "74                    63.7                                         62.4   \n",
       "75                    28.0                                         23.9   \n",
       "76                    53.2                                         45.6   \n",
       "77                    24.7                                         19.1   \n",
       "78                    33.5                                         29.1   \n",
       "79                    33.5                                         29.1   \n",
       "80                    45.7                                         39.7   \n",
       "81                    87.8                                         83.0   \n",
       "82                    70.2                                         67.8   \n",
       "83                    61.2                                         57.3   \n",
       "84                    37.5                                         30.9   \n",
       "85                    79.7                                         74.4   \n",
       "86                    30.3                                         20.9   \n",
       "87                    11.8                                          5.9   \n",
       "88                    37.6                                         35.6   \n",
       "89                    47.5                                         45.1   \n",
       "90                    72.4                                         56.5   \n",
       "91                    48.5                                         45.6   \n",
       "92                    22.4                                         19.0   \n",
       "93                    19.4                                         14.0   \n",
       "94                    63.4                                         53.6   \n",
       "95                    38.8                                         28.9   \n",
       "96                    29.2                                         24.5   \n",
       "97                    56.0                                         47.4   \n",
       "98                    49.5                                         46.0   \n",
       "99                    61.4                                         52.6   \n",
       "\n",
       "    Other Local Government  Charges  \n",
       "0                      0.0      0.2  \n",
       "1                      2.0      0.8  \n",
       "2                      1.3      0.9  \n",
       "3                      0.0      3.6  \n",
       "4                      0.0      0.5  \n",
       "5                      0.0      4.5  \n",
       "6                      1.3      0.5  \n",
       "7                      0.0      3.0  \n",
       "8                      0.0      2.6  \n",
       "9                      0.0      6.2  \n",
       "10                     1.6      1.9  \n",
       "11                     0.0      1.5  \n",
       "12                     1.9      2.7  \n",
       "13                     0.0      2.1  \n",
       "14                     0.0      0.7  \n",
       "15                     0.0      0.5  \n",
       "16                     0.0      2.0  \n",
       "17                     0.5      0.0  \n",
       "18                     0.0      0.7  \n",
       "19                     0.0      4.0  \n",
       "20                     4.1      0.7  \n",
       "21                     0.1      3.3  \n",
       "22                     2.4      4.7  \n",
       "23                     0.0      0.7  \n",
       "24                     0.1      2.7  \n",
       "25                     0.0      2.6  \n",
       "26                     0.1      3.1  \n",
       "27                     0.0      6.3  \n",
       "28                     1.9      0.2  \n",
       "29                     0.2      0.8  \n",
       "30                     2.7      1.4  \n",
       "31                     0.0      4.2  \n",
       "32                     0.2      3.9  \n",
       "33                     0.2      0.8  \n",
       "34                     3.8      2.0  \n",
       "35                     0.0      1.0  \n",
       "36                     0.3      7.2  \n",
       "37                     0.0      1.8  \n",
       "38                     0.0      0.9  \n",
       "39                     0.0      0.1  \n",
       "40                     0.0      0.9  \n",
       "41                     0.0      5.1  \n",
       "42                     0.5      2.1  \n",
       "43                     3.4      4.0  \n",
       "44                     2.0      0.6  \n",
       "45                     1.5      1.0  \n",
       "46                     0.0      3.5  \n",
       "47                     0.0      2.2  \n",
       "48                     0.0      3.5  \n",
       "49                     0.8      0.2  \n",
       "50                     0.0      1.8  \n",
       "51                     0.0      4.3  \n",
       "52                     0.0      3.7  \n",
       "53                     0.0      1.3  \n",
       "54                     0.0      3.4  \n",
       "55                     2.5      1.4  \n",
       "56                     0.0      4.5  \n",
       "57                     0.1      3.1  \n",
       "58                     0.5      9.5  \n",
       "59                     0.1      1.0  \n",
       "60                     4.9      2.4  \n",
       "61                     0.1      0.6  \n",
       "62                     0.1      3.3  \n",
       "63                     0.1      3.6  \n",
       "64                     0.0      1.4  \n",
       "65                     0.0      6.8  \n",
       "66                     0.8      1.2  \n",
       "67                     0.5      2.1  \n",
       "68                     0.0      1.8  \n",
       "69                     0.0      0.8  \n",
       "70                     0.2      2.1  \n",
       "71                     2.5      1.7  \n",
       "72                     0.0      1.9  \n",
       "73                     0.1      4.0  \n",
       "74                     0.0      0.8  \n",
       "75                     0.0      1.4  \n",
       "76                     0.2      6.5  \n",
       "77                     2.8      0.3  \n",
       "78                     1.3      1.9  \n",
       "79                     1.3      1.9  \n",
       "80                     0.1      1.6  \n",
       "81                     0.0      3.6  \n",
       "82                     0.1      1.1  \n",
       "83                     0.9      1.4  \n",
       "84                     0.0      3.7  \n",
       "85                     0.1      3.9  \n",
       "86                     5.3      0.9  \n",
       "87                     4.1      0.2  \n",
       "88                     0.2      0.4  \n",
       "89                     0.3      0.7  \n",
       "90                     2.5      0.9  \n",
       "91                     0.4      2.1  \n",
       "92                     0.0      1.7  \n",
       "93                     2.0      0.9  \n",
       "94                     1.2      0.7  \n",
       "95                     3.0      0.1  \n",
       "96                     0.5      1.2  \n",
       "97                     0.1      6.0  \n",
       "98                     0.7      0.9  \n",
       "99                     3.3      1.8  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>School System</th>\n",
       "      <th>State</th>\n",
       "      <th>Enrollment</th>\n",
       "      <th>Instruction_Total</th>\n",
       "      <th>Instruction_Salaries</th>\n",
       "      <th>Instruction_EmployeeBenefits</th>\n",
       "      <th>Support_Total</th>\n",
       "      <th>Support_Pupil</th>\n",
       "      <th>Support_Staff</th>\n",
       "      <th>Support_GeneralAdmin</th>\n",
       "      <th>Support_SchoolAdmin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>New York County</td>\n",
       "      <td>New York</td>\n",
       "      <td>984462</td>\n",
       "      <td>19110</td>\n",
       "      <td>10413</td>\n",
       "      <td>6584</td>\n",
       "      <td>5494</td>\n",
       "      <td>129</td>\n",
       "      <td>102</td>\n",
       "      <td>87</td>\n",
       "      <td>574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>California</td>\n",
       "      <td>633621</td>\n",
       "      <td>7884</td>\n",
       "      <td>4466</td>\n",
       "      <td>2296</td>\n",
       "      <td>5005</td>\n",
       "      <td>729</td>\n",
       "      <td>987</td>\n",
       "      <td>92</td>\n",
       "      <td>978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Cook County</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>378199</td>\n",
       "      <td>9372</td>\n",
       "      <td>4352</td>\n",
       "      <td>2990</td>\n",
       "      <td>3602</td>\n",
       "      <td>734</td>\n",
       "      <td>354</td>\n",
       "      <td>337</td>\n",
       "      <td>545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Miami-Dade County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>357249</td>\n",
       "      <td>5981</td>\n",
       "      <td>3094</td>\n",
       "      <td>1119</td>\n",
       "      <td>2807</td>\n",
       "      <td>386</td>\n",
       "      <td>432</td>\n",
       "      <td>65</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Clark County</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>326953</td>\n",
       "      <td>5362</td>\n",
       "      <td>3486</td>\n",
       "      <td>1400</td>\n",
       "      <td>3222</td>\n",
       "      <td>435</td>\n",
       "      <td>521</td>\n",
       "      <td>110</td>\n",
       "      <td>663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>Broward County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>271852</td>\n",
       "      <td>5675</td>\n",
       "      <td>3073</td>\n",
       "      <td>882</td>\n",
       "      <td>2964</td>\n",
       "      <td>479</td>\n",
       "      <td>427</td>\n",
       "      <td>69</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Houston County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>216106</td>\n",
       "      <td>5096</td>\n",
       "      <td>3663</td>\n",
       "      <td>610</td>\n",
       "      <td>4061</td>\n",
       "      <td>374</td>\n",
       "      <td>435</td>\n",
       "      <td>133</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>Hillsborough County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>214386</td>\n",
       "      <td>5556</td>\n",
       "      <td>3593</td>\n",
       "      <td>974</td>\n",
       "      <td>2834</td>\n",
       "      <td>389</td>\n",
       "      <td>738</td>\n",
       "      <td>75</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>200674</td>\n",
       "      <td>5499</td>\n",
       "      <td>3029</td>\n",
       "      <td>1015</td>\n",
       "      <td>3306</td>\n",
       "      <td>285</td>\n",
       "      <td>943</td>\n",
       "      <td>75</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>Palm Beach County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>192721</td>\n",
       "      <td>6299</td>\n",
       "      <td>3424</td>\n",
       "      <td>1202</td>\n",
       "      <td>3019</td>\n",
       "      <td>307</td>\n",
       "      <td>593</td>\n",
       "      <td>94</td>\n",
       "      <td>546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Fairfax County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>187467</td>\n",
       "      <td>9030</td>\n",
       "      <td>6037</td>\n",
       "      <td>2606</td>\n",
       "      <td>4933</td>\n",
       "      <td>853</td>\n",
       "      <td>995</td>\n",
       "      <td>62</td>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Hawaii County</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>181550</td>\n",
       "      <td>8372</td>\n",
       "      <td>5262</td>\n",
       "      <td>2314</td>\n",
       "      <td>5227</td>\n",
       "      <td>1348</td>\n",
       "      <td>483</td>\n",
       "      <td>71</td>\n",
       "      <td>1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>Gwinnett County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>178214</td>\n",
       "      <td>5556</td>\n",
       "      <td>3921</td>\n",
       "      <td>1471</td>\n",
       "      <td>3564</td>\n",
       "      <td>434</td>\n",
       "      <td>364</td>\n",
       "      <td>52</td>\n",
       "      <td>752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>Wake County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>160467</td>\n",
       "      <td>5729</td>\n",
       "      <td>4105</td>\n",
       "      <td>1368</td>\n",
       "      <td>2579</td>\n",
       "      <td>515</td>\n",
       "      <td>282</td>\n",
       "      <td>50</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>159010</td>\n",
       "      <td>10655</td>\n",
       "      <td>6924</td>\n",
       "      <td>3200</td>\n",
       "      <td>5101</td>\n",
       "      <td>628</td>\n",
       "      <td>994</td>\n",
       "      <td>78</td>\n",
       "      <td>1060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>157886</td>\n",
       "      <td>5625</td>\n",
       "      <td>4398</td>\n",
       "      <td>683</td>\n",
       "      <td>3773</td>\n",
       "      <td>553</td>\n",
       "      <td>677</td>\n",
       "      <td>88</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>Charlotte/Mecklenburg</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>147428</td>\n",
       "      <td>5817</td>\n",
       "      <td>3918</td>\n",
       "      <td>1305</td>\n",
       "      <td>2762</td>\n",
       "      <td>401</td>\n",
       "      <td>249</td>\n",
       "      <td>95</td>\n",
       "      <td>537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>Philadelphia County</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>133929</td>\n",
       "      <td>6918</td>\n",
       "      <td>3607</td>\n",
       "      <td>2505</td>\n",
       "      <td>4219</td>\n",
       "      <td>454</td>\n",
       "      <td>493</td>\n",
       "      <td>458</td>\n",
       "      <td>493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>Prince George's County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>130814</td>\n",
       "      <td>9581</td>\n",
       "      <td>5935</td>\n",
       "      <td>2561</td>\n",
       "      <td>5424</td>\n",
       "      <td>777</td>\n",
       "      <td>572</td>\n",
       "      <td>110</td>\n",
       "      <td>952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>Duval County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>129479</td>\n",
       "      <td>5583</td>\n",
       "      <td>3052</td>\n",
       "      <td>1045</td>\n",
       "      <td>3013</td>\n",
       "      <td>509</td>\n",
       "      <td>532</td>\n",
       "      <td>61</td>\n",
       "      <td>466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>San Diego County</td>\n",
       "      <td>California</td>\n",
       "      <td>128040</td>\n",
       "      <td>6965</td>\n",
       "      <td>4200</td>\n",
       "      <td>2250</td>\n",
       "      <td>4282</td>\n",
       "      <td>1007</td>\n",
       "      <td>543</td>\n",
       "      <td>77</td>\n",
       "      <td>753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>114868</td>\n",
       "      <td>5366</td>\n",
       "      <td>4317</td>\n",
       "      <td>630</td>\n",
       "      <td>2429</td>\n",
       "      <td>395</td>\n",
       "      <td>318</td>\n",
       "      <td>50</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Cobb County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>113151</td>\n",
       "      <td>6530</td>\n",
       "      <td>4448</td>\n",
       "      <td>1713</td>\n",
       "      <td>2920</td>\n",
       "      <td>453</td>\n",
       "      <td>415</td>\n",
       "      <td>110</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>Baltimore County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>112139</td>\n",
       "      <td>9008</td>\n",
       "      <td>5436</td>\n",
       "      <td>2478</td>\n",
       "      <td>4832</td>\n",
       "      <td>753</td>\n",
       "      <td>623</td>\n",
       "      <td>83</td>\n",
       "      <td>1027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Shelby County</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>111403</td>\n",
       "      <td>6271</td>\n",
       "      <td>4019</td>\n",
       "      <td>1337</td>\n",
       "      <td>3712</td>\n",
       "      <td>608</td>\n",
       "      <td>605</td>\n",
       "      <td>179</td>\n",
       "      <td>718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>Houston County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>106145</td>\n",
       "      <td>5458</td>\n",
       "      <td>4230</td>\n",
       "      <td>801</td>\n",
       "      <td>2722</td>\n",
       "      <td>427</td>\n",
       "      <td>458</td>\n",
       "      <td>44</td>\n",
       "      <td>451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>Pinellas County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>102905</td>\n",
       "      <td>5762</td>\n",
       "      <td>3716</td>\n",
       "      <td>1109</td>\n",
       "      <td>3108</td>\n",
       "      <td>400</td>\n",
       "      <td>567</td>\n",
       "      <td>68</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>Polk County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>102295</td>\n",
       "      <td>5976</td>\n",
       "      <td>3048</td>\n",
       "      <td>971</td>\n",
       "      <td>2626</td>\n",
       "      <td>373</td>\n",
       "      <td>489</td>\n",
       "      <td>79</td>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>101284</td>\n",
       "      <td>6365</td>\n",
       "      <td>4391</td>\n",
       "      <td>1579</td>\n",
       "      <td>3612</td>\n",
       "      <td>577</td>\n",
       "      <td>454</td>\n",
       "      <td>159</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>99813</td>\n",
       "      <td>6560</td>\n",
       "      <td>4674</td>\n",
       "      <td>1698</td>\n",
       "      <td>5103</td>\n",
       "      <td>595</td>\n",
       "      <td>1349</td>\n",
       "      <td>51</td>\n",
       "      <td>868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>70</td>\n",
       "      <td>Dallas County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>57133</td>\n",
       "      <td>5246</td>\n",
       "      <td>4078</td>\n",
       "      <td>641</td>\n",
       "      <td>3051</td>\n",
       "      <td>520</td>\n",
       "      <td>547</td>\n",
       "      <td>61</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>71</td>\n",
       "      <td>Mobile County</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>56628</td>\n",
       "      <td>5012</td>\n",
       "      <td>3222</td>\n",
       "      <td>1282</td>\n",
       "      <td>3674</td>\n",
       "      <td>539</td>\n",
       "      <td>424</td>\n",
       "      <td>162</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>72</td>\n",
       "      <td>Harris County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>56282</td>\n",
       "      <td>5950</td>\n",
       "      <td>4767</td>\n",
       "      <td>816</td>\n",
       "      <td>3072</td>\n",
       "      <td>527</td>\n",
       "      <td>416</td>\n",
       "      <td>50</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>73</td>\n",
       "      <td>Collin County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>55923</td>\n",
       "      <td>5319</td>\n",
       "      <td>4365</td>\n",
       "      <td>646</td>\n",
       "      <td>2480</td>\n",
       "      <td>411</td>\n",
       "      <td>388</td>\n",
       "      <td>70</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>74</td>\n",
       "      <td>Howard County</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>55626</td>\n",
       "      <td>11492</td>\n",
       "      <td>7635</td>\n",
       "      <td>3182</td>\n",
       "      <td>4161</td>\n",
       "      <td>315</td>\n",
       "      <td>122</td>\n",
       "      <td>249</td>\n",
       "      <td>1420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>75</td>\n",
       "      <td>Forsyth County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>55228</td>\n",
       "      <td>6074</td>\n",
       "      <td>4107</td>\n",
       "      <td>1410</td>\n",
       "      <td>2616</td>\n",
       "      <td>571</td>\n",
       "      <td>304</td>\n",
       "      <td>46</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>76</td>\n",
       "      <td>Arapahoe County</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>54852</td>\n",
       "      <td>7065</td>\n",
       "      <td>5169</td>\n",
       "      <td>1400</td>\n",
       "      <td>3006</td>\n",
       "      <td>579</td>\n",
       "      <td>390</td>\n",
       "      <td>95</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>77</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>California</td>\n",
       "      <td>54505</td>\n",
       "      <td>7572</td>\n",
       "      <td>4796</td>\n",
       "      <td>2119</td>\n",
       "      <td>3956</td>\n",
       "      <td>575</td>\n",
       "      <td>645</td>\n",
       "      <td>47</td>\n",
       "      <td>747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>78</td>\n",
       "      <td>Clayton County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>54345</td>\n",
       "      <td>5812</td>\n",
       "      <td>3926</td>\n",
       "      <td>1258</td>\n",
       "      <td>3246</td>\n",
       "      <td>530</td>\n",
       "      <td>553</td>\n",
       "      <td>238</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>79</td>\n",
       "      <td>King County</td>\n",
       "      <td>Washington</td>\n",
       "      <td>54215</td>\n",
       "      <td>8401</td>\n",
       "      <td>5688</td>\n",
       "      <td>1929</td>\n",
       "      <td>5159</td>\n",
       "      <td>1000</td>\n",
       "      <td>770</td>\n",
       "      <td>176</td>\n",
       "      <td>884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>80</td>\n",
       "      <td>Collin County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>54173</td>\n",
       "      <td>6003</td>\n",
       "      <td>4878</td>\n",
       "      <td>670</td>\n",
       "      <td>3055</td>\n",
       "      <td>518</td>\n",
       "      <td>388</td>\n",
       "      <td>96</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>81</td>\n",
       "      <td>Suffolk County</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>53640</td>\n",
       "      <td>12612</td>\n",
       "      <td>8733</td>\n",
       "      <td>3708</td>\n",
       "      <td>8712</td>\n",
       "      <td>1353</td>\n",
       "      <td>2173</td>\n",
       "      <td>381</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>82</td>\n",
       "      <td>Orange County</td>\n",
       "      <td>California</td>\n",
       "      <td>53613</td>\n",
       "      <td>5837</td>\n",
       "      <td>3727</td>\n",
       "      <td>1694</td>\n",
       "      <td>2859</td>\n",
       "      <td>566</td>\n",
       "      <td>341</td>\n",
       "      <td>52</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>83</td>\n",
       "      <td>Salt Lake County</td>\n",
       "      <td>Utah</td>\n",
       "      <td>53416</td>\n",
       "      <td>3992</td>\n",
       "      <td>2474</td>\n",
       "      <td>1090</td>\n",
       "      <td>1968</td>\n",
       "      <td>224</td>\n",
       "      <td>264</td>\n",
       "      <td>46</td>\n",
       "      <td>409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>84</td>\n",
       "      <td>Denton County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>53257</td>\n",
       "      <td>5646</td>\n",
       "      <td>4513</td>\n",
       "      <td>709</td>\n",
       "      <td>2878</td>\n",
       "      <td>475</td>\n",
       "      <td>353</td>\n",
       "      <td>75</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>85</td>\n",
       "      <td>Riverside County</td>\n",
       "      <td>California</td>\n",
       "      <td>53157</td>\n",
       "      <td>7131</td>\n",
       "      <td>4738</td>\n",
       "      <td>1621</td>\n",
       "      <td>3720</td>\n",
       "      <td>730</td>\n",
       "      <td>431</td>\n",
       "      <td>47</td>\n",
       "      <td>784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>86</td>\n",
       "      <td>San Bernardino County</td>\n",
       "      <td>California</td>\n",
       "      <td>53152</td>\n",
       "      <td>7275</td>\n",
       "      <td>4324</td>\n",
       "      <td>1927</td>\n",
       "      <td>4773</td>\n",
       "      <td>883</td>\n",
       "      <td>640</td>\n",
       "      <td>68</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>87</td>\n",
       "      <td>Bexar County</td>\n",
       "      <td>Texas</td>\n",
       "      <td>52514</td>\n",
       "      <td>5850</td>\n",
       "      <td>4200</td>\n",
       "      <td>1056</td>\n",
       "      <td>3920</td>\n",
       "      <td>675</td>\n",
       "      <td>789</td>\n",
       "      <td>71</td>\n",
       "      <td>633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>88</td>\n",
       "      <td>Douglas County</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>52344</td>\n",
       "      <td>8001</td>\n",
       "      <td>4987</td>\n",
       "      <td>2080</td>\n",
       "      <td>3731</td>\n",
       "      <td>429</td>\n",
       "      <td>262</td>\n",
       "      <td>185</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>89</td>\n",
       "      <td>Fulton County</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>51927</td>\n",
       "      <td>6716</td>\n",
       "      <td>5208</td>\n",
       "      <td>2503</td>\n",
       "      <td>6973</td>\n",
       "      <td>1266</td>\n",
       "      <td>1192</td>\n",
       "      <td>215</td>\n",
       "      <td>1089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>90</td>\n",
       "      <td>Klein</td>\n",
       "      <td>Texas</td>\n",
       "      <td>51810</td>\n",
       "      <td>5594</td>\n",
       "      <td>4406</td>\n",
       "      <td>729</td>\n",
       "      <td>2959</td>\n",
       "      <td>574</td>\n",
       "      <td>417</td>\n",
       "      <td>81</td>\n",
       "      <td>549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>91</td>\n",
       "      <td>Henrico County</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>51425</td>\n",
       "      <td>5782</td>\n",
       "      <td>4032</td>\n",
       "      <td>1523</td>\n",
       "      <td>3441</td>\n",
       "      <td>467</td>\n",
       "      <td>622</td>\n",
       "      <td>111</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>92</td>\n",
       "      <td>Cumberland County</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>51194</td>\n",
       "      <td>5388</td>\n",
       "      <td>3832</td>\n",
       "      <td>1207</td>\n",
       "      <td>2606</td>\n",
       "      <td>449</td>\n",
       "      <td>367</td>\n",
       "      <td>38</td>\n",
       "      <td>599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>93</td>\n",
       "      <td>Sedgwick County</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>50600</td>\n",
       "      <td>6048</td>\n",
       "      <td>4059</td>\n",
       "      <td>1620</td>\n",
       "      <td>4220</td>\n",
       "      <td>987</td>\n",
       "      <td>599</td>\n",
       "      <td>99</td>\n",
       "      <td>699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>94</td>\n",
       "      <td>Franklin County</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>50331</td>\n",
       "      <td>8324</td>\n",
       "      <td>5227</td>\n",
       "      <td>2114</td>\n",
       "      <td>6506</td>\n",
       "      <td>1424</td>\n",
       "      <td>825</td>\n",
       "      <td>185</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>95</td>\n",
       "      <td>Alameda County</td>\n",
       "      <td>California</td>\n",
       "      <td>49760</td>\n",
       "      <td>6487</td>\n",
       "      <td>3583</td>\n",
       "      <td>1821</td>\n",
       "      <td>4724</td>\n",
       "      <td>413</td>\n",
       "      <td>1266</td>\n",
       "      <td>150</td>\n",
       "      <td>912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>96</td>\n",
       "      <td>Nevada County</td>\n",
       "      <td>California</td>\n",
       "      <td>49255</td>\n",
       "      <td>6212</td>\n",
       "      <td>3747</td>\n",
       "      <td>1868</td>\n",
       "      <td>3911</td>\n",
       "      <td>508</td>\n",
       "      <td>929</td>\n",
       "      <td>78</td>\n",
       "      <td>834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>97</td>\n",
       "      <td>Manatee County</td>\n",
       "      <td>Florida</td>\n",
       "      <td>48884</td>\n",
       "      <td>5356</td>\n",
       "      <td>2828</td>\n",
       "      <td>840</td>\n",
       "      <td>2894</td>\n",
       "      <td>370</td>\n",
       "      <td>470</td>\n",
       "      <td>72</td>\n",
       "      <td>501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>98</td>\n",
       "      <td>Jefferson Parish</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>48668</td>\n",
       "      <td>6053</td>\n",
       "      <td>3703</td>\n",
       "      <td>1837</td>\n",
       "      <td>4412</td>\n",
       "      <td>790</td>\n",
       "      <td>390</td>\n",
       "      <td>514</td>\n",
       "      <td>755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>99</td>\n",
       "      <td>Charleston County</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>48551</td>\n",
       "      <td>5716</td>\n",
       "      <td>3781</td>\n",
       "      <td>1374</td>\n",
       "      <td>4600</td>\n",
       "      <td>756</td>\n",
       "      <td>776</td>\n",
       "      <td>76</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Rank           School System           State  Enrollment  \\\n",
       "0      0         New York County        New York      984462   \n",
       "1      1      Los Angeles County      California      633621   \n",
       "2      2             Cook County        Illinois      378199   \n",
       "3      3       Miami-Dade County         Florida      357249   \n",
       "4      4            Clark County          Nevada      326953   \n",
       "5      5          Broward County         Florida      271852   \n",
       "6      6          Houston County           Texas      216106   \n",
       "7      7     Hillsborough County         Florida      214386   \n",
       "8      8           Orange County         Florida      200674   \n",
       "9      9       Palm Beach County         Florida      192721   \n",
       "10    10          Fairfax County        Virginia      187467   \n",
       "11    11           Hawaii County          Hawaii      181550   \n",
       "12    12         Gwinnett County         Georgia      178214   \n",
       "13    13             Wake County  North Carolina      160467   \n",
       "14    14       Montgomery County        Maryland      159010   \n",
       "15    15           Dallas County           Texas      157886   \n",
       "16    16   Charlotte/Mecklenburg  North Carolina      147428   \n",
       "17    17     Philadelphia County    Pennsylvania      133929   \n",
       "18    18  Prince George's County        Maryland      130814   \n",
       "19    19            Duval County         Florida      129479   \n",
       "20    20        San Diego County      California      128040   \n",
       "21    21           Harris County           Texas      114868   \n",
       "22    22             Cobb County         Georgia      113151   \n",
       "23    23        Baltimore County        Maryland      112139   \n",
       "24    24           Shelby County       Tennessee      111403   \n",
       "25    25          Houston County           Texas      106145   \n",
       "26    26         Pinellas County         Florida      102905   \n",
       "27    27             Polk County         Florida      102295   \n",
       "28    28           DeKalb County         Georgia      101284   \n",
       "29    29        Jefferson County        Kentucky       99813   \n",
       "..   ...                     ...             ...         ...   \n",
       "70    70           Dallas County           Texas       57133   \n",
       "71    71           Mobile County         Alabama       56628   \n",
       "72    72           Harris County           Texas       56282   \n",
       "73    73           Collin County           Texas       55923   \n",
       "74    74           Howard County        Maryland       55626   \n",
       "75    75          Forsyth County  North Carolina       55228   \n",
       "76    76         Arapahoe County        Colorado       54852   \n",
       "77    77           Orange County      California       54505   \n",
       "78    78          Clayton County         Georgia       54345   \n",
       "79    79             King County      Washington       54215   \n",
       "80    80           Collin County           Texas       54173   \n",
       "81    81          Suffolk County   Massachusetts       53640   \n",
       "82    82           Orange County      California       53613   \n",
       "83    83        Salt Lake County            Utah       53416   \n",
       "84    84           Denton County           Texas       53257   \n",
       "85    85        Riverside County      California       53157   \n",
       "86    86   San Bernardino County      California       53152   \n",
       "87    87            Bexar County           Texas       52514   \n",
       "88    88          Douglas County        Nebraska       52344   \n",
       "89    89           Fulton County         Georgia       51927   \n",
       "90    90                   Klein           Texas       51810   \n",
       "91    91          Henrico County        Virginia       51425   \n",
       "92    92       Cumberland County  North Carolina       51194   \n",
       "93    93         Sedgwick County          Kansas       50600   \n",
       "94    94         Franklin County            Ohio       50331   \n",
       "95    95          Alameda County      California       49760   \n",
       "96    96           Nevada County      California       49255   \n",
       "97    97          Manatee County         Florida       48884   \n",
       "98    98        Jefferson Parish       Louisiana       48668   \n",
       "99    99       Charleston County  South Carolina       48551   \n",
       "\n",
       "    Instruction_Total  Instruction_Salaries  Instruction_EmployeeBenefits  \\\n",
       "0               19110                 10413                          6584   \n",
       "1                7884                  4466                          2296   \n",
       "2                9372                  4352                          2990   \n",
       "3                5981                  3094                          1119   \n",
       "4                5362                  3486                          1400   \n",
       "5                5675                  3073                           882   \n",
       "6                5096                  3663                           610   \n",
       "7                5556                  3593                           974   \n",
       "8                5499                  3029                          1015   \n",
       "9                6299                  3424                          1202   \n",
       "10               9030                  6037                          2606   \n",
       "11               8372                  5262                          2314   \n",
       "12               5556                  3921                          1471   \n",
       "13               5729                  4105                          1368   \n",
       "14              10655                  6924                          3200   \n",
       "15               5625                  4398                           683   \n",
       "16               5817                  3918                          1305   \n",
       "17               6918                  3607                          2505   \n",
       "18               9581                  5935                          2561   \n",
       "19               5583                  3052                          1045   \n",
       "20               6965                  4200                          2250   \n",
       "21               5366                  4317                           630   \n",
       "22               6530                  4448                          1713   \n",
       "23               9008                  5436                          2478   \n",
       "24               6271                  4019                          1337   \n",
       "25               5458                  4230                           801   \n",
       "26               5762                  3716                          1109   \n",
       "27               5976                  3048                           971   \n",
       "28               6365                  4391                          1579   \n",
       "29               6560                  4674                          1698   \n",
       "..                ...                   ...                           ...   \n",
       "70               5246                  4078                           641   \n",
       "71               5012                  3222                          1282   \n",
       "72               5950                  4767                           816   \n",
       "73               5319                  4365                           646   \n",
       "74              11492                  7635                          3182   \n",
       "75               6074                  4107                          1410   \n",
       "76               7065                  5169                          1400   \n",
       "77               7572                  4796                          2119   \n",
       "78               5812                  3926                          1258   \n",
       "79               8401                  5688                          1929   \n",
       "80               6003                  4878                           670   \n",
       "81              12612                  8733                          3708   \n",
       "82               5837                  3727                          1694   \n",
       "83               3992                  2474                          1090   \n",
       "84               5646                  4513                           709   \n",
       "85               7131                  4738                          1621   \n",
       "86               7275                  4324                          1927   \n",
       "87               5850                  4200                          1056   \n",
       "88               8001                  4987                          2080   \n",
       "89               6716                  5208                          2503   \n",
       "90               5594                  4406                           729   \n",
       "91               5782                  4032                          1523   \n",
       "92               5388                  3832                          1207   \n",
       "93               6048                  4059                          1620   \n",
       "94               8324                  5227                          2114   \n",
       "95               6487                  3583                          1821   \n",
       "96               6212                  3747                          1868   \n",
       "97               5356                  2828                           840   \n",
       "98               6053                  3703                          1837   \n",
       "99               5716                  3781                          1374   \n",
       "\n",
       "    Support_Total  Support_Pupil  Support_Staff  Support_GeneralAdmin  \\\n",
       "0            5494            129            102                    87   \n",
       "1            5005            729            987                    92   \n",
       "2            3602            734            354                   337   \n",
       "3            2807            386            432                    65   \n",
       "4            3222            435            521                   110   \n",
       "5            2964            479            427                    69   \n",
       "6            4061            374            435                   133   \n",
       "7            2834            389            738                    75   \n",
       "8            3306            285            943                    75   \n",
       "9            3019            307            593                    94   \n",
       "10           4933            853            995                    62   \n",
       "11           5227           1348            483                    71   \n",
       "12           3564            434            364                    52   \n",
       "13           2579            515            282                    50   \n",
       "14           5101            628            994                    78   \n",
       "15           3773            553            677                    88   \n",
       "16           2762            401            249                    95   \n",
       "17           4219            454            493                   458   \n",
       "18           5424            777            572                   110   \n",
       "19           3013            509            532                    61   \n",
       "20           4282           1007            543                    77   \n",
       "21           2429            395            318                    50   \n",
       "22           2920            453            415                   110   \n",
       "23           4832            753            623                    83   \n",
       "24           3712            608            605                   179   \n",
       "25           2722            427            458                    44   \n",
       "26           3108            400            567                    68   \n",
       "27           2626            373            489                    79   \n",
       "28           3612            577            454                   159   \n",
       "29           5103            595           1349                    51   \n",
       "..            ...            ...            ...                   ...   \n",
       "70           3051            520            547                    61   \n",
       "71           3674            539            424                   162   \n",
       "72           3072            527            416                    50   \n",
       "73           2480            411            388                    70   \n",
       "74           4161            315            122                   249   \n",
       "75           2616            571            304                    46   \n",
       "76           3006            579            390                    95   \n",
       "77           3956            575            645                    47   \n",
       "78           3246            530            553                   238   \n",
       "79           5159           1000            770                   176   \n",
       "80           3055            518            388                    96   \n",
       "81           8712           1353           2173                   381   \n",
       "82           2859            566            341                    52   \n",
       "83           1968            224            264                    46   \n",
       "84           2878            475            353                    75   \n",
       "85           3720            730            431                    47   \n",
       "86           4773            883            640                    68   \n",
       "87           3920            675            789                    71   \n",
       "88           3731            429            262                   185   \n",
       "89           6973           1266           1192                   215   \n",
       "90           2959            574            417                    81   \n",
       "91           3441            467            622                   111   \n",
       "92           2606            449            367                    38   \n",
       "93           4220            987            599                    99   \n",
       "94           6506           1424            825                   185   \n",
       "95           4724            413           1266                   150   \n",
       "96           3911            508            929                    78   \n",
       "97           2894            370            470                    72   \n",
       "98           4412            790            390                   514   \n",
       "99           4600            756            776                    76   \n",
       "\n",
       "    Support_SchoolAdmin  \n",
       "0                   574  \n",
       "1                   978  \n",
       "2                   545  \n",
       "3                   460  \n",
       "4                   663  \n",
       "5                   504  \n",
       "6                   614  \n",
       "7                   485  \n",
       "8                   591  \n",
       "9                   546  \n",
       "10                  858  \n",
       "11                 1028  \n",
       "12                  752  \n",
       "13                  485  \n",
       "14                 1060  \n",
       "15                  596  \n",
       "16                  537  \n",
       "17                  493  \n",
       "18                  952  \n",
       "19                  466  \n",
       "20                  753  \n",
       "21                  397  \n",
       "22                  643  \n",
       "23                 1027  \n",
       "24                  718  \n",
       "25                  451  \n",
       "26                  553  \n",
       "27                  420  \n",
       "28                  618  \n",
       "29                  868  \n",
       "..                  ...  \n",
       "70                  525  \n",
       "71                  528  \n",
       "72                  645  \n",
       "73                  507  \n",
       "74                 1420  \n",
       "75                  492  \n",
       "76                  492  \n",
       "77                  747  \n",
       "78                  510  \n",
       "79                  884  \n",
       "80                  489  \n",
       "81                  926  \n",
       "82                  580  \n",
       "83                  409  \n",
       "84                  561  \n",
       "85                  784  \n",
       "86                  926  \n",
       "87                  633  \n",
       "88                  567  \n",
       "89                 1089  \n",
       "90                  549  \n",
       "91                  602  \n",
       "92                  599  \n",
       "93                  699  \n",
       "94                  832  \n",
       "95                  912  \n",
       "96                  834  \n",
       "97                  501  \n",
       "98                  755  \n",
       "99                  768  \n",
       "\n",
       "[100 rows x 12 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expenditure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100\n"
     ]
    }
   ],
   "source": [
    "states = []\n",
    "for i in range(len(revenue)):\n",
    "    states += [state_abbv_dict[revenue['State'][i].strip()]]\n",
    "revenue['State'] = states\n",
    "expenditure['State'] = states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Rank', 'School System', 'State', 'Enrollment', 'Instruction_Total',\n",
       "       'Instruction_Salaries', 'Instruction_EmployeeBenefits', 'Support_Total',\n",
       "       'Support_Pupil', 'Support_Staff', 'Support_GeneralAdmin',\n",
       "       'Support_SchoolAdmin'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expenditure.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 100\n"
     ]
    }
   ],
   "source": [
    "print(len(revenue), len(expenditure))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School System</th>\n",
       "      <th>State</th>\n",
       "      <th>Enrollment</th>\n",
       "      <th>Federal Title I</th>\n",
       "      <th>State General Formula Assistance</th>\n",
       "      <th>Local Taxes Parent Government Contributions</th>\n",
       "      <th>Charges</th>\n",
       "      <th>Instruction_Salaries</th>\n",
       "      <th>Instruction_EmployeeBenefits</th>\n",
       "      <th>Support_Pupil</th>\n",
       "      <th>Support_Staff</th>\n",
       "      <th>Support_GeneralAdmin</th>\n",
       "      <th>Support_SchoolAdmin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>New York County</td>\n",
       "      <td>NY</td>\n",
       "      <td>984462</td>\n",
       "      <td>3.2</td>\n",
       "      <td>25.2</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>10413</td>\n",
       "      <td>6584</td>\n",
       "      <td>129</td>\n",
       "      <td>102</td>\n",
       "      <td>87</td>\n",
       "      <td>574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>CA</td>\n",
       "      <td>633621</td>\n",
       "      <td>3.6</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4466</td>\n",
       "      <td>2296</td>\n",
       "      <td>729</td>\n",
       "      <td>987</td>\n",
       "      <td>92</td>\n",
       "      <td>978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cook County</td>\n",
       "      <td>IL</td>\n",
       "      <td>378199</td>\n",
       "      <td>5.0</td>\n",
       "      <td>28.3</td>\n",
       "      <td>46.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4352</td>\n",
       "      <td>2990</td>\n",
       "      <td>734</td>\n",
       "      <td>354</td>\n",
       "      <td>337</td>\n",
       "      <td>545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Miami-Dade County</td>\n",
       "      <td>FL</td>\n",
       "      <td>357249</td>\n",
       "      <td>3.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3094</td>\n",
       "      <td>1119</td>\n",
       "      <td>386</td>\n",
       "      <td>432</td>\n",
       "      <td>65</td>\n",
       "      <td>460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Clark County</td>\n",
       "      <td>NV</td>\n",
       "      <td>326953</td>\n",
       "      <td>2.9</td>\n",
       "      <td>18.9</td>\n",
       "      <td>26.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3486</td>\n",
       "      <td>1400</td>\n",
       "      <td>435</td>\n",
       "      <td>521</td>\n",
       "      <td>110</td>\n",
       "      <td>663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Broward County</td>\n",
       "      <td>FL</td>\n",
       "      <td>271852</td>\n",
       "      <td>2.5</td>\n",
       "      <td>16.7</td>\n",
       "      <td>43.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3073</td>\n",
       "      <td>882</td>\n",
       "      <td>479</td>\n",
       "      <td>427</td>\n",
       "      <td>69</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Houston County</td>\n",
       "      <td>TX</td>\n",
       "      <td>216106</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>75.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3663</td>\n",
       "      <td>610</td>\n",
       "      <td>374</td>\n",
       "      <td>435</td>\n",
       "      <td>133</td>\n",
       "      <td>614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hillsborough County</td>\n",
       "      <td>FL</td>\n",
       "      <td>214386</td>\n",
       "      <td>3.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>28.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3593</td>\n",
       "      <td>974</td>\n",
       "      <td>389</td>\n",
       "      <td>738</td>\n",
       "      <td>75</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Orange County</td>\n",
       "      <td>FL</td>\n",
       "      <td>200674</td>\n",
       "      <td>2.7</td>\n",
       "      <td>14.8</td>\n",
       "      <td>48.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3029</td>\n",
       "      <td>1015</td>\n",
       "      <td>285</td>\n",
       "      <td>943</td>\n",
       "      <td>75</td>\n",
       "      <td>591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Palm Beach County</td>\n",
       "      <td>FL</td>\n",
       "      <td>192721</td>\n",
       "      <td>2.3</td>\n",
       "      <td>7.8</td>\n",
       "      <td>58.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>3424</td>\n",
       "      <td>1202</td>\n",
       "      <td>307</td>\n",
       "      <td>593</td>\n",
       "      <td>94</td>\n",
       "      <td>546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fairfax County</td>\n",
       "      <td>VA</td>\n",
       "      <td>187467</td>\n",
       "      <td>0.7</td>\n",
       "      <td>16.4</td>\n",
       "      <td>68.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>6037</td>\n",
       "      <td>2606</td>\n",
       "      <td>853</td>\n",
       "      <td>995</td>\n",
       "      <td>62</td>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hawaii County</td>\n",
       "      <td>HI</td>\n",
       "      <td>181550</td>\n",
       "      <td>1.8</td>\n",
       "      <td>44.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5262</td>\n",
       "      <td>2314</td>\n",
       "      <td>1348</td>\n",
       "      <td>483</td>\n",
       "      <td>71</td>\n",
       "      <td>1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Gwinnett County</td>\n",
       "      <td>GA</td>\n",
       "      <td>178214</td>\n",
       "      <td>2.1</td>\n",
       "      <td>30.7</td>\n",
       "      <td>37.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3921</td>\n",
       "      <td>1471</td>\n",
       "      <td>434</td>\n",
       "      <td>364</td>\n",
       "      <td>52</td>\n",
       "      <td>752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Wake County</td>\n",
       "      <td>NC</td>\n",
       "      <td>160467</td>\n",
       "      <td>1.8</td>\n",
       "      <td>61.1</td>\n",
       "      <td>28.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4105</td>\n",
       "      <td>1368</td>\n",
       "      <td>515</td>\n",
       "      <td>282</td>\n",
       "      <td>50</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>MD</td>\n",
       "      <td>159010</td>\n",
       "      <td>0.8</td>\n",
       "      <td>11.7</td>\n",
       "      <td>67.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>6924</td>\n",
       "      <td>3200</td>\n",
       "      <td>628</td>\n",
       "      <td>994</td>\n",
       "      <td>78</td>\n",
       "      <td>1060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dallas County</td>\n",
       "      <td>TX</td>\n",
       "      <td>157886</td>\n",
       "      <td>3.9</td>\n",
       "      <td>14.1</td>\n",
       "      <td>64.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4398</td>\n",
       "      <td>683</td>\n",
       "      <td>553</td>\n",
       "      <td>677</td>\n",
       "      <td>88</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Charlotte/Mecklenburg</td>\n",
       "      <td>NC</td>\n",
       "      <td>147428</td>\n",
       "      <td>3.2</td>\n",
       "      <td>55.0</td>\n",
       "      <td>29.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3918</td>\n",
       "      <td>1305</td>\n",
       "      <td>401</td>\n",
       "      <td>249</td>\n",
       "      <td>95</td>\n",
       "      <td>537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Philadelphia County</td>\n",
       "      <td>PA</td>\n",
       "      <td>133929</td>\n",
       "      <td>4.4</td>\n",
       "      <td>33.2</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3607</td>\n",
       "      <td>2505</td>\n",
       "      <td>454</td>\n",
       "      <td>493</td>\n",
       "      <td>458</td>\n",
       "      <td>493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Prince George's County</td>\n",
       "      <td>MD</td>\n",
       "      <td>130814</td>\n",
       "      <td>1.6</td>\n",
       "      <td>25.7</td>\n",
       "      <td>37.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5935</td>\n",
       "      <td>2561</td>\n",
       "      <td>777</td>\n",
       "      <td>572</td>\n",
       "      <td>110</td>\n",
       "      <td>952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Duval County</td>\n",
       "      <td>FL</td>\n",
       "      <td>129479</td>\n",
       "      <td>3.3</td>\n",
       "      <td>25.3</td>\n",
       "      <td>32.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3052</td>\n",
       "      <td>1045</td>\n",
       "      <td>509</td>\n",
       "      <td>532</td>\n",
       "      <td>61</td>\n",
       "      <td>466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>San Diego County</td>\n",
       "      <td>CA</td>\n",
       "      <td>128040</td>\n",
       "      <td>2.2</td>\n",
       "      <td>20.3</td>\n",
       "      <td>49.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4200</td>\n",
       "      <td>2250</td>\n",
       "      <td>1007</td>\n",
       "      <td>543</td>\n",
       "      <td>77</td>\n",
       "      <td>753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Harris County</td>\n",
       "      <td>TX</td>\n",
       "      <td>114868</td>\n",
       "      <td>1.5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>55.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4317</td>\n",
       "      <td>630</td>\n",
       "      <td>395</td>\n",
       "      <td>318</td>\n",
       "      <td>50</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Cobb County</td>\n",
       "      <td>GA</td>\n",
       "      <td>113151</td>\n",
       "      <td>1.8</td>\n",
       "      <td>17.1</td>\n",
       "      <td>43.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4448</td>\n",
       "      <td>1713</td>\n",
       "      <td>453</td>\n",
       "      <td>415</td>\n",
       "      <td>110</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Baltimore County</td>\n",
       "      <td>MD</td>\n",
       "      <td>112139</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.9</td>\n",
       "      <td>51.6</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5436</td>\n",
       "      <td>2478</td>\n",
       "      <td>753</td>\n",
       "      <td>623</td>\n",
       "      <td>83</td>\n",
       "      <td>1027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shelby County</td>\n",
       "      <td>TN</td>\n",
       "      <td>111403</td>\n",
       "      <td>6.1</td>\n",
       "      <td>38.0</td>\n",
       "      <td>36.1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4019</td>\n",
       "      <td>1337</td>\n",
       "      <td>608</td>\n",
       "      <td>605</td>\n",
       "      <td>179</td>\n",
       "      <td>718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Houston County</td>\n",
       "      <td>TX</td>\n",
       "      <td>106145</td>\n",
       "      <td>1.8</td>\n",
       "      <td>26.2</td>\n",
       "      <td>55.9</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4230</td>\n",
       "      <td>801</td>\n",
       "      <td>427</td>\n",
       "      <td>458</td>\n",
       "      <td>44</td>\n",
       "      <td>451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Pinellas County</td>\n",
       "      <td>FL</td>\n",
       "      <td>102905</td>\n",
       "      <td>2.6</td>\n",
       "      <td>13.7</td>\n",
       "      <td>50.1</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3716</td>\n",
       "      <td>1109</td>\n",
       "      <td>400</td>\n",
       "      <td>567</td>\n",
       "      <td>68</td>\n",
       "      <td>553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Polk County</td>\n",
       "      <td>FL</td>\n",
       "      <td>102295</td>\n",
       "      <td>3.2</td>\n",
       "      <td>27.2</td>\n",
       "      <td>24.6</td>\n",
       "      <td>6.3</td>\n",
       "      <td>3048</td>\n",
       "      <td>971</td>\n",
       "      <td>373</td>\n",
       "      <td>489</td>\n",
       "      <td>79</td>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>DeKalb County</td>\n",
       "      <td>GA</td>\n",
       "      <td>101284</td>\n",
       "      <td>2.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4391</td>\n",
       "      <td>1579</td>\n",
       "      <td>577</td>\n",
       "      <td>454</td>\n",
       "      <td>159</td>\n",
       "      <td>618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>KY</td>\n",
       "      <td>99813</td>\n",
       "      <td>3.1</td>\n",
       "      <td>19.3</td>\n",
       "      <td>47.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4674</td>\n",
       "      <td>1698</td>\n",
       "      <td>595</td>\n",
       "      <td>1349</td>\n",
       "      <td>51</td>\n",
       "      <td>868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Fulton County</td>\n",
       "      <td>GA</td>\n",
       "      <td>96122</td>\n",
       "      <td>2.3</td>\n",
       "      <td>19.1</td>\n",
       "      <td>54.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4588</td>\n",
       "      <td>1575</td>\n",
       "      <td>568</td>\n",
       "      <td>668</td>\n",
       "      <td>68</td>\n",
       "      <td>643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Lee County</td>\n",
       "      <td>FL</td>\n",
       "      <td>92686</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.9</td>\n",
       "      <td>52.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>2988</td>\n",
       "      <td>865</td>\n",
       "      <td>337</td>\n",
       "      <td>494</td>\n",
       "      <td>81</td>\n",
       "      <td>517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Denver County</td>\n",
       "      <td>CO</td>\n",
       "      <td>91138</td>\n",
       "      <td>2.3</td>\n",
       "      <td>22.1</td>\n",
       "      <td>53.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4207</td>\n",
       "      <td>695</td>\n",
       "      <td>651</td>\n",
       "      <td>1159</td>\n",
       "      <td>111</td>\n",
       "      <td>1204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Bernalillo County</td>\n",
       "      <td>NM</td>\n",
       "      <td>90651</td>\n",
       "      <td>3.5</td>\n",
       "      <td>62.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3900</td>\n",
       "      <td>1363</td>\n",
       "      <td>920</td>\n",
       "      <td>240</td>\n",
       "      <td>108</td>\n",
       "      <td>538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Prince William County</td>\n",
       "      <td>VA</td>\n",
       "      <td>89345</td>\n",
       "      <td>1.2</td>\n",
       "      <td>29.4</td>\n",
       "      <td>46.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4455</td>\n",
       "      <td>1495</td>\n",
       "      <td>542</td>\n",
       "      <td>822</td>\n",
       "      <td>463</td>\n",
       "      <td>769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>TX</td>\n",
       "      <td>87428</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>42.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4451</td>\n",
       "      <td>694</td>\n",
       "      <td>673</td>\n",
       "      <td>631</td>\n",
       "      <td>47</td>\n",
       "      <td>545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Jefferson County</td>\n",
       "      <td>CO</td>\n",
       "      <td>86371</td>\n",
       "      <td>1.2</td>\n",
       "      <td>38.4</td>\n",
       "      <td>44.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3713</td>\n",
       "      <td>1086</td>\n",
       "      <td>503</td>\n",
       "      <td>638</td>\n",
       "      <td>92</td>\n",
       "      <td>751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Davidson County</td>\n",
       "      <td>TN</td>\n",
       "      <td>85163</td>\n",
       "      <td>3.1</td>\n",
       "      <td>26.7</td>\n",
       "      <td>57.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3968</td>\n",
       "      <td>1666</td>\n",
       "      <td>620</td>\n",
       "      <td>962</td>\n",
       "      <td>45</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Austin</td>\n",
       "      <td>TX</td>\n",
       "      <td>83067</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>82.6</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4253</td>\n",
       "      <td>1003</td>\n",
       "      <td>459</td>\n",
       "      <td>643</td>\n",
       "      <td>102</td>\n",
       "      <td>661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Baltimore County</td>\n",
       "      <td>MD</td>\n",
       "      <td>82354</td>\n",
       "      <td>4.1</td>\n",
       "      <td>27.9</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>5601</td>\n",
       "      <td>2684</td>\n",
       "      <td>792</td>\n",
       "      <td>671</td>\n",
       "      <td>624</td>\n",
       "      <td>1076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Anne Arundel County</td>\n",
       "      <td>MD</td>\n",
       "      <td>81379</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.3</td>\n",
       "      <td>57.4</td>\n",
       "      <td>0.9</td>\n",
       "      <td>5390</td>\n",
       "      <td>2544</td>\n",
       "      <td>554</td>\n",
       "      <td>674</td>\n",
       "      <td>97</td>\n",
       "      <td>971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Utah County</td>\n",
       "      <td>UT</td>\n",
       "      <td>78957</td>\n",
       "      <td>1.3</td>\n",
       "      <td>34.4</td>\n",
       "      <td>27.6</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2493</td>\n",
       "      <td>1410</td>\n",
       "      <td>194</td>\n",
       "      <td>237</td>\n",
       "      <td>25</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Loudoun County</td>\n",
       "      <td>VA</td>\n",
       "      <td>78348</td>\n",
       "      <td>0.2</td>\n",
       "      <td>21.4</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>5637</td>\n",
       "      <td>2714</td>\n",
       "      <td>724</td>\n",
       "      <td>586</td>\n",
       "      <td>134</td>\n",
       "      <td>809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Greenville County</td>\n",
       "      <td>SC</td>\n",
       "      <td>76918</td>\n",
       "      <td>2.9</td>\n",
       "      <td>12.9</td>\n",
       "      <td>29.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3572</td>\n",
       "      <td>1320</td>\n",
       "      <td>734</td>\n",
       "      <td>533</td>\n",
       "      <td>33</td>\n",
       "      <td>636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Los Angeles County</td>\n",
       "      <td>CA</td>\n",
       "      <td>76428</td>\n",
       "      <td>2.7</td>\n",
       "      <td>50.6</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>4562</td>\n",
       "      <td>2235</td>\n",
       "      <td>608</td>\n",
       "      <td>627</td>\n",
       "      <td>65</td>\n",
       "      <td>697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Milwaukee County</td>\n",
       "      <td>WI</td>\n",
       "      <td>76206</td>\n",
       "      <td>6.1</td>\n",
       "      <td>44.0</td>\n",
       "      <td>18.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4121</td>\n",
       "      <td>1891</td>\n",
       "      <td>836</td>\n",
       "      <td>925</td>\n",
       "      <td>468</td>\n",
       "      <td>662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Harris County</td>\n",
       "      <td>TX</td>\n",
       "      <td>75428</td>\n",
       "      <td>0.7</td>\n",
       "      <td>23.3</td>\n",
       "      <td>62.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4719</td>\n",
       "      <td>751</td>\n",
       "      <td>488</td>\n",
       "      <td>349</td>\n",
       "      <td>77</td>\n",
       "      <td>484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Fort Bend County</td>\n",
       "      <td>TX</td>\n",
       "      <td>74146</td>\n",
       "      <td>1.2</td>\n",
       "      <td>25.8</td>\n",
       "      <td>60.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4047</td>\n",
       "      <td>745</td>\n",
       "      <td>544</td>\n",
       "      <td>446</td>\n",
       "      <td>64</td>\n",
       "      <td>531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Brevard County</td>\n",
       "      <td>FL</td>\n",
       "      <td>73444</td>\n",
       "      <td>2.4</td>\n",
       "      <td>20.6</td>\n",
       "      <td>38.4</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3253</td>\n",
       "      <td>896</td>\n",
       "      <td>340</td>\n",
       "      <td>679</td>\n",
       "      <td>60</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Fresno County</td>\n",
       "      <td>CA</td>\n",
       "      <td>73356</td>\n",
       "      <td>4.3</td>\n",
       "      <td>60.2</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4222</td>\n",
       "      <td>2082</td>\n",
       "      <td>747</td>\n",
       "      <td>751</td>\n",
       "      <td>97</td>\n",
       "      <td>732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Guilford County</td>\n",
       "      <td>NC</td>\n",
       "      <td>73059</td>\n",
       "      <td>3.6</td>\n",
       "      <td>55.0</td>\n",
       "      <td>27.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4008</td>\n",
       "      <td>1359</td>\n",
       "      <td>593</td>\n",
       "      <td>383</td>\n",
       "      <td>70</td>\n",
       "      <td>527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Davis County</td>\n",
       "      <td>UT</td>\n",
       "      <td>72987</td>\n",
       "      <td>1.3</td>\n",
       "      <td>32.4</td>\n",
       "      <td>27.8</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2694</td>\n",
       "      <td>1327</td>\n",
       "      <td>219</td>\n",
       "      <td>285</td>\n",
       "      <td>38</td>\n",
       "      <td>472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Pasco County</td>\n",
       "      <td>FL</td>\n",
       "      <td>72493</td>\n",
       "      <td>2.3</td>\n",
       "      <td>27.3</td>\n",
       "      <td>26.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>3119</td>\n",
       "      <td>1012</td>\n",
       "      <td>408</td>\n",
       "      <td>521</td>\n",
       "      <td>60</td>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Harris County</td>\n",
       "      <td>TX</td>\n",
       "      <td>69768</td>\n",
       "      <td>3.6</td>\n",
       "      <td>44.9</td>\n",
       "      <td>33.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4596</td>\n",
       "      <td>730</td>\n",
       "      <td>537</td>\n",
       "      <td>548</td>\n",
       "      <td>59</td>\n",
       "      <td>655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Salt Lake County</td>\n",
       "      <td>UT</td>\n",
       "      <td>69580</td>\n",
       "      <td>3.3</td>\n",
       "      <td>31.4</td>\n",
       "      <td>28.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2873</td>\n",
       "      <td>1416</td>\n",
       "      <td>310</td>\n",
       "      <td>234</td>\n",
       "      <td>55</td>\n",
       "      <td>458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Virginia Beach City County</td>\n",
       "      <td>VA</td>\n",
       "      <td>69085</td>\n",
       "      <td>1.6</td>\n",
       "      <td>31.6</td>\n",
       "      <td>44.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4531</td>\n",
       "      <td>1684</td>\n",
       "      <td>509</td>\n",
       "      <td>916</td>\n",
       "      <td>90</td>\n",
       "      <td>665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Seminole County</td>\n",
       "      <td>FL</td>\n",
       "      <td>67808</td>\n",
       "      <td>1.9</td>\n",
       "      <td>22.5</td>\n",
       "      <td>37.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3328</td>\n",
       "      <td>1026</td>\n",
       "      <td>376</td>\n",
       "      <td>337</td>\n",
       "      <td>75</td>\n",
       "      <td>488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>TX</td>\n",
       "      <td>67531</td>\n",
       "      <td>1.7</td>\n",
       "      <td>16.9</td>\n",
       "      <td>66.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4121</td>\n",
       "      <td>820</td>\n",
       "      <td>501</td>\n",
       "      <td>538</td>\n",
       "      <td>55</td>\n",
       "      <td>534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Douglas County</td>\n",
       "      <td>CO</td>\n",
       "      <td>67470</td>\n",
       "      <td>0.3</td>\n",
       "      <td>42.8</td>\n",
       "      <td>37.2</td>\n",
       "      <td>9.5</td>\n",
       "      <td>3514</td>\n",
       "      <td>1136</td>\n",
       "      <td>404</td>\n",
       "      <td>428</td>\n",
       "      <td>55</td>\n",
       "      <td>717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Washoe County</td>\n",
       "      <td>NV</td>\n",
       "      <td>66671</td>\n",
       "      <td>2.2</td>\n",
       "      <td>21.5</td>\n",
       "      <td>22.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3507</td>\n",
       "      <td>1429</td>\n",
       "      <td>809</td>\n",
       "      <td>597</td>\n",
       "      <td>163</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Maricopa County</td>\n",
       "      <td>AZ</td>\n",
       "      <td>63444</td>\n",
       "      <td>3.6</td>\n",
       "      <td>45.3</td>\n",
       "      <td>32.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3005</td>\n",
       "      <td>904</td>\n",
       "      <td>674</td>\n",
       "      <td>463</td>\n",
       "      <td>45</td>\n",
       "      <td>388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Sacramento County</td>\n",
       "      <td>CA</td>\n",
       "      <td>63061</td>\n",
       "      <td>2.0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>4362</td>\n",
       "      <td>2083</td>\n",
       "      <td>683</td>\n",
       "      <td>573</td>\n",
       "      <td>51</td>\n",
       "      <td>683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Osceola County</td>\n",
       "      <td>FL</td>\n",
       "      <td>63031</td>\n",
       "      <td>2.8</td>\n",
       "      <td>24.5</td>\n",
       "      <td>27.2</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2612</td>\n",
       "      <td>797</td>\n",
       "      <td>381</td>\n",
       "      <td>557</td>\n",
       "      <td>69</td>\n",
       "      <td>372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Volusia County</td>\n",
       "      <td>FL</td>\n",
       "      <td>63028</td>\n",
       "      <td>2.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>40.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3332</td>\n",
       "      <td>947</td>\n",
       "      <td>361</td>\n",
       "      <td>569</td>\n",
       "      <td>57</td>\n",
       "      <td>572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Tarrant County</td>\n",
       "      <td>TX</td>\n",
       "      <td>62181</td>\n",
       "      <td>2.7</td>\n",
       "      <td>35.2</td>\n",
       "      <td>47.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4543</td>\n",
       "      <td>616</td>\n",
       "      <td>593</td>\n",
       "      <td>491</td>\n",
       "      <td>56</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Knox County</td>\n",
       "      <td>TN</td>\n",
       "      <td>60372</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35.7</td>\n",
       "      <td>45.3</td>\n",
       "      <td>6.8</td>\n",
       "      <td>3671</td>\n",
       "      <td>1009</td>\n",
       "      <td>382</td>\n",
       "      <td>632</td>\n",
       "      <td>115</td>\n",
       "      <td>547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>San Francisco County</td>\n",
       "      <td>CA</td>\n",
       "      <td>60133</td>\n",
       "      <td>1.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>61.1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3825</td>\n",
       "      <td>1688</td>\n",
       "      <td>847</td>\n",
       "      <td>2001</td>\n",
       "      <td>205</td>\n",
       "      <td>756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Chesterfield County</td>\n",
       "      <td>VA</td>\n",
       "      <td>60060</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>42.3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4045</td>\n",
       "      <td>1914</td>\n",
       "      <td>426</td>\n",
       "      <td>526</td>\n",
       "      <td>85</td>\n",
       "      <td>581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Montgomery County</td>\n",
       "      <td>TX</td>\n",
       "      <td>59764</td>\n",
       "      <td>1.2</td>\n",
       "      <td>18.4</td>\n",
       "      <td>67.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4129</td>\n",
       "      <td>690</td>\n",
       "      <td>429</td>\n",
       "      <td>317</td>\n",
       "      <td>80</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>El Paso County</td>\n",
       "      <td>TX</td>\n",
       "      <td>59424</td>\n",
       "      <td>4.4</td>\n",
       "      <td>46.5</td>\n",
       "      <td>31.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4211</td>\n",
       "      <td>782</td>\n",
       "      <td>607</td>\n",
       "      <td>719</td>\n",
       "      <td>71</td>\n",
       "      <td>632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Dallas County</td>\n",
       "      <td>TX</td>\n",
       "      <td>57133</td>\n",
       "      <td>2.1</td>\n",
       "      <td>44.5</td>\n",
       "      <td>35.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4078</td>\n",
       "      <td>641</td>\n",
       "      <td>520</td>\n",
       "      <td>547</td>\n",
       "      <td>61</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Mobile County</td>\n",
       "      <td>AL</td>\n",
       "      <td>56628</td>\n",
       "      <td>4.3</td>\n",
       "      <td>47.6</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>3222</td>\n",
       "      <td>1282</td>\n",
       "      <td>539</td>\n",
       "      <td>424</td>\n",
       "      <td>162</td>\n",
       "      <td>528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Harris County</td>\n",
       "      <td>TX</td>\n",
       "      <td>56282</td>\n",
       "      <td>2.7</td>\n",
       "      <td>50.0</td>\n",
       "      <td>27.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>4767</td>\n",
       "      <td>816</td>\n",
       "      <td>527</td>\n",
       "      <td>416</td>\n",
       "      <td>50</td>\n",
       "      <td>645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Collin County</td>\n",
       "      <td>TX</td>\n",
       "      <td>55923</td>\n",
       "      <td>0.1</td>\n",
       "      <td>18.5</td>\n",
       "      <td>68.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4365</td>\n",
       "      <td>646</td>\n",
       "      <td>411</td>\n",
       "      <td>388</td>\n",
       "      <td>70</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Howard County</td>\n",
       "      <td>MD</td>\n",
       "      <td>55626</td>\n",
       "      <td>0.6</td>\n",
       "      <td>16.5</td>\n",
       "      <td>62.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>7635</td>\n",
       "      <td>3182</td>\n",
       "      <td>315</td>\n",
       "      <td>122</td>\n",
       "      <td>249</td>\n",
       "      <td>1420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Forsyth County</td>\n",
       "      <td>NC</td>\n",
       "      <td>55228</td>\n",
       "      <td>4.1</td>\n",
       "      <td>59.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4107</td>\n",
       "      <td>1410</td>\n",
       "      <td>571</td>\n",
       "      <td>304</td>\n",
       "      <td>46</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Arapahoe County</td>\n",
       "      <td>CO</td>\n",
       "      <td>54852</td>\n",
       "      <td>0.8</td>\n",
       "      <td>38.9</td>\n",
       "      <td>45.6</td>\n",
       "      <td>6.5</td>\n",
       "      <td>5169</td>\n",
       "      <td>1400</td>\n",
       "      <td>579</td>\n",
       "      <td>390</td>\n",
       "      <td>95</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Orange County</td>\n",
       "      <td>CA</td>\n",
       "      <td>54505</td>\n",
       "      <td>2.4</td>\n",
       "      <td>47.6</td>\n",
       "      <td>19.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4796</td>\n",
       "      <td>2119</td>\n",
       "      <td>575</td>\n",
       "      <td>645</td>\n",
       "      <td>47</td>\n",
       "      <td>747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Clayton County</td>\n",
       "      <td>GA</td>\n",
       "      <td>54345</td>\n",
       "      <td>3.9</td>\n",
       "      <td>38.1</td>\n",
       "      <td>29.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>3926</td>\n",
       "      <td>1258</td>\n",
       "      <td>530</td>\n",
       "      <td>553</td>\n",
       "      <td>238</td>\n",
       "      <td>510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>King County</td>\n",
       "      <td>WA</td>\n",
       "      <td>54215</td>\n",
       "      <td>3.9</td>\n",
       "      <td>38.1</td>\n",
       "      <td>29.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>5688</td>\n",
       "      <td>1929</td>\n",
       "      <td>1000</td>\n",
       "      <td>770</td>\n",
       "      <td>176</td>\n",
       "      <td>884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Collin County</td>\n",
       "      <td>TX</td>\n",
       "      <td>54173</td>\n",
       "      <td>1.5</td>\n",
       "      <td>35.7</td>\n",
       "      <td>39.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4878</td>\n",
       "      <td>670</td>\n",
       "      <td>518</td>\n",
       "      <td>388</td>\n",
       "      <td>96</td>\n",
       "      <td>489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Suffolk County</td>\n",
       "      <td>MA</td>\n",
       "      <td>53640</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>83.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>8733</td>\n",
       "      <td>3708</td>\n",
       "      <td>1353</td>\n",
       "      <td>2173</td>\n",
       "      <td>381</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Orange County</td>\n",
       "      <td>CA</td>\n",
       "      <td>53613</td>\n",
       "      <td>2.4</td>\n",
       "      <td>14.1</td>\n",
       "      <td>67.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>3727</td>\n",
       "      <td>1694</td>\n",
       "      <td>566</td>\n",
       "      <td>341</td>\n",
       "      <td>52</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Salt Lake County</td>\n",
       "      <td>UT</td>\n",
       "      <td>53416</td>\n",
       "      <td>0.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>57.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2474</td>\n",
       "      <td>1090</td>\n",
       "      <td>224</td>\n",
       "      <td>264</td>\n",
       "      <td>46</td>\n",
       "      <td>409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Denton County</td>\n",
       "      <td>TX</td>\n",
       "      <td>53257</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>30.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4513</td>\n",
       "      <td>709</td>\n",
       "      <td>475</td>\n",
       "      <td>353</td>\n",
       "      <td>75</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Riverside County</td>\n",
       "      <td>CA</td>\n",
       "      <td>53157</td>\n",
       "      <td>0.7</td>\n",
       "      <td>11.1</td>\n",
       "      <td>74.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4738</td>\n",
       "      <td>1621</td>\n",
       "      <td>730</td>\n",
       "      <td>431</td>\n",
       "      <td>47</td>\n",
       "      <td>784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>San Bernardino County</td>\n",
       "      <td>CA</td>\n",
       "      <td>53152</td>\n",
       "      <td>1.1</td>\n",
       "      <td>47.9</td>\n",
       "      <td>20.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4324</td>\n",
       "      <td>1927</td>\n",
       "      <td>883</td>\n",
       "      <td>640</td>\n",
       "      <td>68</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Bexar County</td>\n",
       "      <td>TX</td>\n",
       "      <td>52514</td>\n",
       "      <td>3.9</td>\n",
       "      <td>62.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4200</td>\n",
       "      <td>1056</td>\n",
       "      <td>675</td>\n",
       "      <td>789</td>\n",
       "      <td>71</td>\n",
       "      <td>633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Douglas County</td>\n",
       "      <td>NE</td>\n",
       "      <td>52344</td>\n",
       "      <td>4.2</td>\n",
       "      <td>38.5</td>\n",
       "      <td>35.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>4987</td>\n",
       "      <td>2080</td>\n",
       "      <td>429</td>\n",
       "      <td>262</td>\n",
       "      <td>185</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Fulton County</td>\n",
       "      <td>GA</td>\n",
       "      <td>51927</td>\n",
       "      <td>2.8</td>\n",
       "      <td>33.1</td>\n",
       "      <td>45.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5208</td>\n",
       "      <td>2503</td>\n",
       "      <td>1266</td>\n",
       "      <td>1192</td>\n",
       "      <td>215</td>\n",
       "      <td>1089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Klein</td>\n",
       "      <td>TX</td>\n",
       "      <td>51810</td>\n",
       "      <td>3.5</td>\n",
       "      <td>12.5</td>\n",
       "      <td>56.5</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4406</td>\n",
       "      <td>729</td>\n",
       "      <td>574</td>\n",
       "      <td>417</td>\n",
       "      <td>81</td>\n",
       "      <td>549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Henrico County</td>\n",
       "      <td>VA</td>\n",
       "      <td>51425</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>45.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4032</td>\n",
       "      <td>1523</td>\n",
       "      <td>467</td>\n",
       "      <td>622</td>\n",
       "      <td>111</td>\n",
       "      <td>602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Cumberland County</td>\n",
       "      <td>NC</td>\n",
       "      <td>51194</td>\n",
       "      <td>3.2</td>\n",
       "      <td>62.2</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>3832</td>\n",
       "      <td>1207</td>\n",
       "      <td>449</td>\n",
       "      <td>367</td>\n",
       "      <td>38</td>\n",
       "      <td>599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Sedgwick County</td>\n",
       "      <td>KS</td>\n",
       "      <td>50600</td>\n",
       "      <td>3.6</td>\n",
       "      <td>53.9</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4059</td>\n",
       "      <td>1620</td>\n",
       "      <td>987</td>\n",
       "      <td>599</td>\n",
       "      <td>99</td>\n",
       "      <td>699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Franklin County</td>\n",
       "      <td>OH</td>\n",
       "      <td>50331</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.6</td>\n",
       "      <td>53.6</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5227</td>\n",
       "      <td>2114</td>\n",
       "      <td>1424</td>\n",
       "      <td>825</td>\n",
       "      <td>185</td>\n",
       "      <td>832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Alameda County</td>\n",
       "      <td>CA</td>\n",
       "      <td>49760</td>\n",
       "      <td>2.6</td>\n",
       "      <td>38.1</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3583</td>\n",
       "      <td>1821</td>\n",
       "      <td>413</td>\n",
       "      <td>1266</td>\n",
       "      <td>150</td>\n",
       "      <td>912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Nevada County</td>\n",
       "      <td>CA</td>\n",
       "      <td>49255</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>24.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3747</td>\n",
       "      <td>1868</td>\n",
       "      <td>508</td>\n",
       "      <td>929</td>\n",
       "      <td>78</td>\n",
       "      <td>834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Manatee County</td>\n",
       "      <td>FL</td>\n",
       "      <td>48884</td>\n",
       "      <td>2.8</td>\n",
       "      <td>13.3</td>\n",
       "      <td>47.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2828</td>\n",
       "      <td>840</td>\n",
       "      <td>370</td>\n",
       "      <td>470</td>\n",
       "      <td>72</td>\n",
       "      <td>501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Jefferson Parish</td>\n",
       "      <td>LA</td>\n",
       "      <td>48668</td>\n",
       "      <td>4.3</td>\n",
       "      <td>36.1</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>3703</td>\n",
       "      <td>1837</td>\n",
       "      <td>790</td>\n",
       "      <td>390</td>\n",
       "      <td>514</td>\n",
       "      <td>755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Charleston County</td>\n",
       "      <td>SC</td>\n",
       "      <td>48551</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.4</td>\n",
       "      <td>52.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3781</td>\n",
       "      <td>1374</td>\n",
       "      <td>756</td>\n",
       "      <td>776</td>\n",
       "      <td>76</td>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 School System State  Enrollment  Federal Title I  \\\n",
       "0              New York County    NY      984462              3.2   \n",
       "1           Los Angeles County    CA      633621              3.6   \n",
       "2                  Cook County    IL      378199              5.0   \n",
       "3            Miami-Dade County    FL      357249              3.8   \n",
       "4                 Clark County    NV      326953              2.9   \n",
       "5               Broward County    FL      271852              2.5   \n",
       "6               Houston County    TX      216106              3.7   \n",
       "7          Hillsborough County    FL      214386              3.2   \n",
       "8                Orange County    FL      200674              2.7   \n",
       "9            Palm Beach County    FL      192721              2.3   \n",
       "10              Fairfax County    VA      187467              0.7   \n",
       "11               Hawaii County    HI      181550              1.8   \n",
       "12             Gwinnett County    GA      178214              2.1   \n",
       "13                 Wake County    NC      160467              1.8   \n",
       "14           Montgomery County    MD      159010              0.8   \n",
       "15               Dallas County    TX      157886              3.9   \n",
       "16       Charlotte/Mecklenburg    NC      147428              3.2   \n",
       "17         Philadelphia County    PA      133929              4.4   \n",
       "18      Prince George's County    MD      130814              1.6   \n",
       "19                Duval County    FL      129479              3.3   \n",
       "20            San Diego County    CA      128040              2.2   \n",
       "21               Harris County    TX      114868              1.5   \n",
       "22                 Cobb County    GA      113151              1.8   \n",
       "23            Baltimore County    MD      112139              1.5   \n",
       "24               Shelby County    TN      111403              6.1   \n",
       "25              Houston County    TX      106145              1.8   \n",
       "26             Pinellas County    FL      102905              2.6   \n",
       "27                 Polk County    FL      102295              3.2   \n",
       "28               DeKalb County    GA      101284              2.5   \n",
       "29            Jefferson County    KY       99813              3.1   \n",
       "30               Fulton County    GA       96122              2.3   \n",
       "31                  Lee County    FL       92686              3.0   \n",
       "32               Denver County    CO       91138              2.3   \n",
       "33           Bernalillo County    NM       90651              3.5   \n",
       "34       Prince William County    VA       89345              1.2   \n",
       "35              Tarrant County    TX       87428              4.0   \n",
       "36            Jefferson County    CO       86371              1.2   \n",
       "37             Davidson County    TN       85163              3.1   \n",
       "38                      Austin    TX       83067              1.8   \n",
       "39            Baltimore County    MD       82354              4.1   \n",
       "40         Anne Arundel County    MD       81379              1.0   \n",
       "41                 Utah County    UT       78957              1.3   \n",
       "42              Loudoun County    VA       78348              0.2   \n",
       "43           Greenville County    SC       76918              2.9   \n",
       "44          Los Angeles County    CA       76428              2.7   \n",
       "45            Milwaukee County    WI       76206              6.1   \n",
       "46               Harris County    TX       75428              0.7   \n",
       "47            Fort Bend County    TX       74146              1.2   \n",
       "48              Brevard County    FL       73444              2.4   \n",
       "49               Fresno County    CA       73356              4.3   \n",
       "50             Guilford County    NC       73059              3.6   \n",
       "51                Davis County    UT       72987              1.3   \n",
       "52                Pasco County    FL       72493              2.3   \n",
       "53               Harris County    TX       69768              3.6   \n",
       "54            Salt Lake County    UT       69580              3.3   \n",
       "55  Virginia Beach City County    VA       69085              1.6   \n",
       "56             Seminole County    FL       67808              1.9   \n",
       "57              Tarrant County    TX       67531              1.7   \n",
       "58              Douglas County    CO       67470              0.3   \n",
       "59               Washoe County    NV       66671              2.2   \n",
       "60             Maricopa County    AZ       63444              3.6   \n",
       "61           Sacramento County    CA       63061              2.0   \n",
       "62              Osceola County    FL       63031              2.8   \n",
       "63              Volusia County    FL       63028              2.9   \n",
       "64              Tarrant County    TX       62181              2.7   \n",
       "65                 Knox County    TN       60372              3.0   \n",
       "66        San Francisco County    CA       60133              1.2   \n",
       "67         Chesterfield County    VA       60060              1.0   \n",
       "68           Montgomery County    TX       59764              1.2   \n",
       "69              El Paso County    TX       59424              4.4   \n",
       "70               Dallas County    TX       57133              2.1   \n",
       "71               Mobile County    AL       56628              4.3   \n",
       "72               Harris County    TX       56282              2.7   \n",
       "73               Collin County    TX       55923              0.1   \n",
       "74               Howard County    MD       55626              0.6   \n",
       "75              Forsyth County    NC       55228              4.1   \n",
       "76             Arapahoe County    CO       54852              0.8   \n",
       "77               Orange County    CA       54505              2.4   \n",
       "78              Clayton County    GA       54345              3.9   \n",
       "79                 King County    WA       54215              3.9   \n",
       "80               Collin County    TX       54173              1.5   \n",
       "81              Suffolk County    MA       53640              0.7   \n",
       "82               Orange County    CA       53613              2.4   \n",
       "83            Salt Lake County    UT       53416              0.8   \n",
       "84               Denton County    TX       53257              1.0   \n",
       "85            Riverside County    CA       53157              0.7   \n",
       "86       San Bernardino County    CA       53152              1.1   \n",
       "87                Bexar County    TX       52514              3.9   \n",
       "88              Douglas County    NE       52344              4.2   \n",
       "89               Fulton County    GA       51927              2.8   \n",
       "90                       Klein    TX       51810              3.5   \n",
       "91              Henrico County    VA       51425              2.0   \n",
       "92           Cumberland County    NC       51194              3.2   \n",
       "93             Sedgwick County    KS       50600              3.6   \n",
       "94             Franklin County    OH       50331              4.0   \n",
       "95              Alameda County    CA       49760              2.6   \n",
       "96               Nevada County    CA       49255              2.0   \n",
       "97              Manatee County    FL       48884              2.8   \n",
       "98            Jefferson Parish    LA       48668              4.3   \n",
       "99           Charleston County    SC       48551              2.0   \n",
       "\n",
       "    State General Formula Assistance  \\\n",
       "0                               25.2   \n",
       "1                               48.0   \n",
       "2                               28.3   \n",
       "3                               10.0   \n",
       "4                               18.9   \n",
       "5                               16.7   \n",
       "6                                5.1   \n",
       "7                               23.9   \n",
       "8                               14.8   \n",
       "9                                7.8   \n",
       "10                              16.4   \n",
       "11                              44.1   \n",
       "12                              30.7   \n",
       "13                              61.1   \n",
       "14                              11.7   \n",
       "15                              14.1   \n",
       "16                              55.0   \n",
       "17                              33.2   \n",
       "18                              25.7   \n",
       "19                              25.3   \n",
       "20                              20.3   \n",
       "21                              27.8   \n",
       "22                              17.1   \n",
       "23                              20.9   \n",
       "24                              38.0   \n",
       "25                              26.2   \n",
       "26                              13.7   \n",
       "27                              27.2   \n",
       "28                              19.0   \n",
       "29                              19.3   \n",
       "30                              19.1   \n",
       "31                              10.9   \n",
       "32                              22.1   \n",
       "33                              62.1   \n",
       "34                              29.4   \n",
       "35                              36.8   \n",
       "36                              38.4   \n",
       "37                              26.7   \n",
       "38                               3.4   \n",
       "39                              27.9   \n",
       "40                              17.3   \n",
       "41                              34.4   \n",
       "42                              21.4   \n",
       "43                              12.9   \n",
       "44                              50.6   \n",
       "45                              44.0   \n",
       "46                              23.3   \n",
       "47                              25.8   \n",
       "48                              20.6   \n",
       "49                              60.2   \n",
       "50                              55.0   \n",
       "51                              32.4   \n",
       "52                              27.3   \n",
       "53                              44.9   \n",
       "54                              31.4   \n",
       "55                              31.6   \n",
       "56                              22.5   \n",
       "57                              16.9   \n",
       "58                              42.8   \n",
       "59                              21.5   \n",
       "60                              45.3   \n",
       "61                              54.5   \n",
       "62                              24.5   \n",
       "63                              19.0   \n",
       "64                              35.2   \n",
       "65                              35.7   \n",
       "66                              10.4   \n",
       "67                              36.4   \n",
       "68                              18.4   \n",
       "69                              46.5   \n",
       "70                              44.5   \n",
       "71                              47.6   \n",
       "72                              50.0   \n",
       "73                              18.5   \n",
       "74                              16.5   \n",
       "75                              59.2   \n",
       "76                              38.9   \n",
       "77                              47.6   \n",
       "78                              38.1   \n",
       "79                              38.1   \n",
       "80                              35.7   \n",
       "81                               4.5   \n",
       "82                              14.1   \n",
       "83                              18.0   \n",
       "84                              33.3   \n",
       "85                              11.1   \n",
       "86                              47.9   \n",
       "87                              62.2   \n",
       "88                              38.5   \n",
       "89                              33.1   \n",
       "90                              12.5   \n",
       "91                              32.0   \n",
       "92                              62.2   \n",
       "93                              53.9   \n",
       "94                              19.6   \n",
       "95                              38.1   \n",
       "96                              48.0   \n",
       "97                              13.3   \n",
       "98                              36.1   \n",
       "99                               5.4   \n",
       "\n",
       "    Local Taxes Parent Government Contributions  Charges  \\\n",
       "0                                          52.1      0.2   \n",
       "1                                          20.2      0.8   \n",
       "2                                          46.5      0.9   \n",
       "3                                          52.5      3.6   \n",
       "4                                          26.9      0.5   \n",
       "5                                          43.3      4.5   \n",
       "6                                          75.9      0.5   \n",
       "7                                          28.7      3.0   \n",
       "8                                          48.7      2.6   \n",
       "9                                          58.4      6.2   \n",
       "10                                         68.7      1.9   \n",
       "11                                          0.0      1.5   \n",
       "12                                         37.9      2.7   \n",
       "13                                         28.5      2.1   \n",
       "14                                         67.4      0.7   \n",
       "15                                         64.8      0.5   \n",
       "16                                         29.6      2.0   \n",
       "17                                         36.0      0.0   \n",
       "18                                         37.8      0.7   \n",
       "19                                         32.1      4.0   \n",
       "20                                         49.2      0.7   \n",
       "21                                         55.8      3.3   \n",
       "22                                         43.8      4.7   \n",
       "23                                         51.6      0.7   \n",
       "24                                         36.1      2.7   \n",
       "25                                         55.9      2.6   \n",
       "26                                         50.1      3.1   \n",
       "27                                         24.6      6.3   \n",
       "28                                         46.0      0.2   \n",
       "29                                         47.3      0.8   \n",
       "30                                         54.4      1.4   \n",
       "31                                         52.5      4.2   \n",
       "32                                         53.1      3.9   \n",
       "33                                         15.2      0.8   \n",
       "34                                         46.2      2.0   \n",
       "35                                         42.5      1.0   \n",
       "36                                         44.2      7.2   \n",
       "37                                         57.9      1.8   \n",
       "38                                         82.6      0.9   \n",
       "39                                         19.4      0.1   \n",
       "40                                         57.4      0.9   \n",
       "41                                         27.6      5.1   \n",
       "42                                         65.0      2.1   \n",
       "43                                         29.9      4.0   \n",
       "44                                         16.1      0.6   \n",
       "45                                         18.1      1.0   \n",
       "46                                         62.2      3.5   \n",
       "47                                         60.6      2.2   \n",
       "48                                         38.4      3.5   \n",
       "49                                          9.8      0.2   \n",
       "50                                         27.2      1.8   \n",
       "51                                         27.8      4.3   \n",
       "52                                         26.9      3.7   \n",
       "53                                         33.5      1.3   \n",
       "54                                         28.6      3.4   \n",
       "55                                         44.9      1.4   \n",
       "56                                         37.7      4.5   \n",
       "57                                         66.6      3.1   \n",
       "58                                         37.2      9.5   \n",
       "59                                         22.5      1.0   \n",
       "60                                         32.1      2.4   \n",
       "61                                         16.1      0.6   \n",
       "62                                         27.2      3.3   \n",
       "63                                         40.9      3.6   \n",
       "64                                         47.3      1.4   \n",
       "65                                         45.3      6.8   \n",
       "66                                         61.1      1.2   \n",
       "67                                         42.3      2.1   \n",
       "68                                         67.9      1.8   \n",
       "69                                         31.5      0.8   \n",
       "70                                         35.5      2.1   \n",
       "71                                         22.0      1.7   \n",
       "72                                         27.8      1.9   \n",
       "73                                         68.7      4.0   \n",
       "74                                         62.4      0.8   \n",
       "75                                         23.9      1.4   \n",
       "76                                         45.6      6.5   \n",
       "77                                         19.1      0.3   \n",
       "78                                         29.1      1.9   \n",
       "79                                         29.1      1.9   \n",
       "80                                         39.7      1.6   \n",
       "81                                         83.0      3.6   \n",
       "82                                         67.8      1.1   \n",
       "83                                         57.3      1.4   \n",
       "84                                         30.9      3.7   \n",
       "85                                         74.4      3.9   \n",
       "86                                         20.9      0.9   \n",
       "87                                          5.9      0.2   \n",
       "88                                         35.6      0.4   \n",
       "89                                         45.1      0.7   \n",
       "90                                         56.5      0.9   \n",
       "91                                         45.6      2.1   \n",
       "92                                         19.0      1.7   \n",
       "93                                         14.0      0.9   \n",
       "94                                         53.6      0.7   \n",
       "95                                         28.9      0.1   \n",
       "96                                         24.5      1.2   \n",
       "97                                         47.4      6.0   \n",
       "98                                         46.0      0.9   \n",
       "99                                         52.6      1.8   \n",
       "\n",
       "    Instruction_Salaries  Instruction_EmployeeBenefits  Support_Pupil  \\\n",
       "0                  10413                          6584            129   \n",
       "1                   4466                          2296            729   \n",
       "2                   4352                          2990            734   \n",
       "3                   3094                          1119            386   \n",
       "4                   3486                          1400            435   \n",
       "5                   3073                           882            479   \n",
       "6                   3663                           610            374   \n",
       "7                   3593                           974            389   \n",
       "8                   3029                          1015            285   \n",
       "9                   3424                          1202            307   \n",
       "10                  6037                          2606            853   \n",
       "11                  5262                          2314           1348   \n",
       "12                  3921                          1471            434   \n",
       "13                  4105                          1368            515   \n",
       "14                  6924                          3200            628   \n",
       "15                  4398                           683            553   \n",
       "16                  3918                          1305            401   \n",
       "17                  3607                          2505            454   \n",
       "18                  5935                          2561            777   \n",
       "19                  3052                          1045            509   \n",
       "20                  4200                          2250           1007   \n",
       "21                  4317                           630            395   \n",
       "22                  4448                          1713            453   \n",
       "23                  5436                          2478            753   \n",
       "24                  4019                          1337            608   \n",
       "25                  4230                           801            427   \n",
       "26                  3716                          1109            400   \n",
       "27                  3048                           971            373   \n",
       "28                  4391                          1579            577   \n",
       "29                  4674                          1698            595   \n",
       "30                  4588                          1575            568   \n",
       "31                  2988                           865            337   \n",
       "32                  4207                           695            651   \n",
       "33                  3900                          1363            920   \n",
       "34                  4455                          1495            542   \n",
       "35                  4451                           694            673   \n",
       "36                  3713                          1086            503   \n",
       "37                  3968                          1666            620   \n",
       "38                  4253                          1003            459   \n",
       "39                  5601                          2684            792   \n",
       "40                  5390                          2544            554   \n",
       "41                  2493                          1410            194   \n",
       "42                  5637                          2714            724   \n",
       "43                  3572                          1320            734   \n",
       "44                  4562                          2235            608   \n",
       "45                  4121                          1891            836   \n",
       "46                  4719                           751            488   \n",
       "47                  4047                           745            544   \n",
       "48                  3253                           896            340   \n",
       "49                  4222                          2082            747   \n",
       "50                  4008                          1359            593   \n",
       "51                  2694                          1327            219   \n",
       "52                  3119                          1012            408   \n",
       "53                  4596                           730            537   \n",
       "54                  2873                          1416            310   \n",
       "55                  4531                          1684            509   \n",
       "56                  3328                          1026            376   \n",
       "57                  4121                           820            501   \n",
       "58                  3514                          1136            404   \n",
       "59                  3507                          1429            809   \n",
       "60                  3005                           904            674   \n",
       "61                  4362                          2083            683   \n",
       "62                  2612                           797            381   \n",
       "63                  3332                           947            361   \n",
       "64                  4543                           616            593   \n",
       "65                  3671                          1009            382   \n",
       "66                  3825                          1688            847   \n",
       "67                  4045                          1914            426   \n",
       "68                  4129                           690            429   \n",
       "69                  4211                           782            607   \n",
       "70                  4078                           641            520   \n",
       "71                  3222                          1282            539   \n",
       "72                  4767                           816            527   \n",
       "73                  4365                           646            411   \n",
       "74                  7635                          3182            315   \n",
       "75                  4107                          1410            571   \n",
       "76                  5169                          1400            579   \n",
       "77                  4796                          2119            575   \n",
       "78                  3926                          1258            530   \n",
       "79                  5688                          1929           1000   \n",
       "80                  4878                           670            518   \n",
       "81                  8733                          3708           1353   \n",
       "82                  3727                          1694            566   \n",
       "83                  2474                          1090            224   \n",
       "84                  4513                           709            475   \n",
       "85                  4738                          1621            730   \n",
       "86                  4324                          1927            883   \n",
       "87                  4200                          1056            675   \n",
       "88                  4987                          2080            429   \n",
       "89                  5208                          2503           1266   \n",
       "90                  4406                           729            574   \n",
       "91                  4032                          1523            467   \n",
       "92                  3832                          1207            449   \n",
       "93                  4059                          1620            987   \n",
       "94                  5227                          2114           1424   \n",
       "95                  3583                          1821            413   \n",
       "96                  3747                          1868            508   \n",
       "97                  2828                           840            370   \n",
       "98                  3703                          1837            790   \n",
       "99                  3781                          1374            756   \n",
       "\n",
       "    Support_Staff  Support_GeneralAdmin  Support_SchoolAdmin  \n",
       "0             102                    87                  574  \n",
       "1             987                    92                  978  \n",
       "2             354                   337                  545  \n",
       "3             432                    65                  460  \n",
       "4             521                   110                  663  \n",
       "5             427                    69                  504  \n",
       "6             435                   133                  614  \n",
       "7             738                    75                  485  \n",
       "8             943                    75                  591  \n",
       "9             593                    94                  546  \n",
       "10            995                    62                  858  \n",
       "11            483                    71                 1028  \n",
       "12            364                    52                  752  \n",
       "13            282                    50                  485  \n",
       "14            994                    78                 1060  \n",
       "15            677                    88                  596  \n",
       "16            249                    95                  537  \n",
       "17            493                   458                  493  \n",
       "18            572                   110                  952  \n",
       "19            532                    61                  466  \n",
       "20            543                    77                  753  \n",
       "21            318                    50                  397  \n",
       "22            415                   110                  643  \n",
       "23            623                    83                 1027  \n",
       "24            605                   179                  718  \n",
       "25            458                    44                  451  \n",
       "26            567                    68                  553  \n",
       "27            489                    79                  420  \n",
       "28            454                   159                  618  \n",
       "29           1349                    51                  868  \n",
       "30            668                    68                  643  \n",
       "31            494                    81                  517  \n",
       "32           1159                   111                 1204  \n",
       "33            240                   108                  538  \n",
       "34            822                   463                  769  \n",
       "35            631                    47                  545  \n",
       "36            638                    92                  751  \n",
       "37            962                    45                  832  \n",
       "38            643                   102                  661  \n",
       "39            671                   624                 1076  \n",
       "40            674                    97                  971  \n",
       "41            237                    25                  406  \n",
       "42            586                   134                  809  \n",
       "43            533                    33                  636  \n",
       "44            627                    65                  697  \n",
       "45            925                   468                  662  \n",
       "46            349                    77                  484  \n",
       "47            446                    64                  531  \n",
       "48            679                    60                  522  \n",
       "49            751                    97                  732  \n",
       "50            383                    70                  527  \n",
       "51            285                    38                  472  \n",
       "52            521                    60                  544  \n",
       "53            548                    59                  655  \n",
       "54            234                    55                  458  \n",
       "55            916                    90                  665  \n",
       "56            337                    75                  488  \n",
       "57            538                    55                  534  \n",
       "58            428                    55                  717  \n",
       "59            597                   163                  602  \n",
       "60            463                    45                  388  \n",
       "61            573                    51                  683  \n",
       "62            557                    69                  372  \n",
       "63            569                    57                  572  \n",
       "64            491                    56                  470  \n",
       "65            632                   115                  547  \n",
       "66           2001                   205                  756  \n",
       "67            526                    85                  581  \n",
       "68            317                    80                  489  \n",
       "69            719                    71                  632  \n",
       "70            547                    61                  525  \n",
       "71            424                   162                  528  \n",
       "72            416                    50                  645  \n",
       "73            388                    70                  507  \n",
       "74            122                   249                 1420  \n",
       "75            304                    46                  492  \n",
       "76            390                    95                  492  \n",
       "77            645                    47                  747  \n",
       "78            553                   238                  510  \n",
       "79            770                   176                  884  \n",
       "80            388                    96                  489  \n",
       "81           2173                   381                  926  \n",
       "82            341                    52                  580  \n",
       "83            264                    46                  409  \n",
       "84            353                    75                  561  \n",
       "85            431                    47                  784  \n",
       "86            640                    68                  926  \n",
       "87            789                    71                  633  \n",
       "88            262                   185                  567  \n",
       "89           1192                   215                 1089  \n",
       "90            417                    81                  549  \n",
       "91            622                   111                  602  \n",
       "92            367                    38                  599  \n",
       "93            599                    99                  699  \n",
       "94            825                   185                  832  \n",
       "95           1266                   150                  912  \n",
       "96            929                    78                  834  \n",
       "97            470                    72                  501  \n",
       "98            390                   514                  755  \n",
       "99            776                    76                  768  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "money = pd.concat([revenue.iloc[:,4:], expenditure], axis=1)\n",
    "money = money[['School System', 'State', 'Enrollment',\n",
    "       'Federal Title I', \n",
    "       'State General Formula Assistance', \n",
    "       'Local Taxes Parent Government Contributions',\n",
    "       'Charges', 'Instruction_Salaries',\n",
    "       'Instruction_EmployeeBenefits', 'Support_Pupil',\n",
    "       'Support_Staff', 'Support_GeneralAdmin', 'Support_SchoolAdmin']]\n",
    "money"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Enrollment</th>\n",
       "      <th>Federal Title I</th>\n",
       "      <th>State General Formula Assistance</th>\n",
       "      <th>Local Taxes Parent Government Contributions</th>\n",
       "      <th>Charges</th>\n",
       "      <th>Instruction_Salaries</th>\n",
       "      <th>Instruction_EmployeeBenefits</th>\n",
       "      <th>Support_Pupil</th>\n",
       "      <th>Support_Staff</th>\n",
       "      <th>Support_GeneralAdmin</th>\n",
       "      <th>Support_SchoolAdmin</th>\n",
       "      <th>Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>984462</td>\n",
       "      <td>3.2</td>\n",
       "      <td>25.2</td>\n",
       "      <td>52.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>10413</td>\n",
       "      <td>6584</td>\n",
       "      <td>129</td>\n",
       "      <td>102</td>\n",
       "      <td>87</td>\n",
       "      <td>574</td>\n",
       "      <td>86.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>633621</td>\n",
       "      <td>3.6</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4466</td>\n",
       "      <td>2296</td>\n",
       "      <td>729</td>\n",
       "      <td>987</td>\n",
       "      <td>92</td>\n",
       "      <td>978</td>\n",
       "      <td>76.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>76428</td>\n",
       "      <td>2.7</td>\n",
       "      <td>50.6</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>4562</td>\n",
       "      <td>2235</td>\n",
       "      <td>608</td>\n",
       "      <td>627</td>\n",
       "      <td>65</td>\n",
       "      <td>697</td>\n",
       "      <td>76.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>357249</td>\n",
       "      <td>3.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3094</td>\n",
       "      <td>1119</td>\n",
       "      <td>386</td>\n",
       "      <td>432</td>\n",
       "      <td>65</td>\n",
       "      <td>460</td>\n",
       "      <td>79.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>271852</td>\n",
       "      <td>2.5</td>\n",
       "      <td>16.7</td>\n",
       "      <td>43.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3073</td>\n",
       "      <td>882</td>\n",
       "      <td>479</td>\n",
       "      <td>427</td>\n",
       "      <td>69</td>\n",
       "      <td>504</td>\n",
       "      <td>88.033333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>216106</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>75.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>3663</td>\n",
       "      <td>610</td>\n",
       "      <td>374</td>\n",
       "      <td>435</td>\n",
       "      <td>133</td>\n",
       "      <td>614</td>\n",
       "      <td>84.785000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>106145</td>\n",
       "      <td>1.8</td>\n",
       "      <td>26.2</td>\n",
       "      <td>55.9</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4230</td>\n",
       "      <td>801</td>\n",
       "      <td>427</td>\n",
       "      <td>458</td>\n",
       "      <td>44</td>\n",
       "      <td>451</td>\n",
       "      <td>84.785000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>192721</td>\n",
       "      <td>2.3</td>\n",
       "      <td>7.8</td>\n",
       "      <td>58.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>3424</td>\n",
       "      <td>1202</td>\n",
       "      <td>307</td>\n",
       "      <td>593</td>\n",
       "      <td>94</td>\n",
       "      <td>546</td>\n",
       "      <td>87.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>187467</td>\n",
       "      <td>0.7</td>\n",
       "      <td>16.4</td>\n",
       "      <td>68.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>6037</td>\n",
       "      <td>2606</td>\n",
       "      <td>853</td>\n",
       "      <td>995</td>\n",
       "      <td>62</td>\n",
       "      <td>858</td>\n",
       "      <td>91.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>181550</td>\n",
       "      <td>1.8</td>\n",
       "      <td>44.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5262</td>\n",
       "      <td>2314</td>\n",
       "      <td>1348</td>\n",
       "      <td>483</td>\n",
       "      <td>71</td>\n",
       "      <td>1028</td>\n",
       "      <td>91.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>178214</td>\n",
       "      <td>2.1</td>\n",
       "      <td>30.7</td>\n",
       "      <td>37.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3921</td>\n",
       "      <td>1471</td>\n",
       "      <td>434</td>\n",
       "      <td>364</td>\n",
       "      <td>52</td>\n",
       "      <td>752</td>\n",
       "      <td>87.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>160467</td>\n",
       "      <td>1.8</td>\n",
       "      <td>61.1</td>\n",
       "      <td>28.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4105</td>\n",
       "      <td>1368</td>\n",
       "      <td>515</td>\n",
       "      <td>282</td>\n",
       "      <td>50</td>\n",
       "      <td>485</td>\n",
       "      <td>91.925000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>157886</td>\n",
       "      <td>3.9</td>\n",
       "      <td>14.1</td>\n",
       "      <td>64.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>4398</td>\n",
       "      <td>683</td>\n",
       "      <td>553</td>\n",
       "      <td>677</td>\n",
       "      <td>88</td>\n",
       "      <td>596</td>\n",
       "      <td>81.646667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>57133</td>\n",
       "      <td>2.1</td>\n",
       "      <td>44.5</td>\n",
       "      <td>35.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4078</td>\n",
       "      <td>641</td>\n",
       "      <td>520</td>\n",
       "      <td>547</td>\n",
       "      <td>61</td>\n",
       "      <td>525</td>\n",
       "      <td>81.646667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>133929</td>\n",
       "      <td>4.4</td>\n",
       "      <td>33.2</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3607</td>\n",
       "      <td>2505</td>\n",
       "      <td>454</td>\n",
       "      <td>493</td>\n",
       "      <td>458</td>\n",
       "      <td>493</td>\n",
       "      <td>80.640000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>130814</td>\n",
       "      <td>1.6</td>\n",
       "      <td>25.7</td>\n",
       "      <td>37.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5935</td>\n",
       "      <td>2561</td>\n",
       "      <td>777</td>\n",
       "      <td>572</td>\n",
       "      <td>110</td>\n",
       "      <td>952</td>\n",
       "      <td>85.680000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>128040</td>\n",
       "      <td>2.2</td>\n",
       "      <td>20.3</td>\n",
       "      <td>49.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>4200</td>\n",
       "      <td>2250</td>\n",
       "      <td>1007</td>\n",
       "      <td>543</td>\n",
       "      <td>77</td>\n",
       "      <td>753</td>\n",
       "      <td>85.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>114868</td>\n",
       "      <td>1.5</td>\n",
       "      <td>27.8</td>\n",
       "      <td>55.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4317</td>\n",
       "      <td>630</td>\n",
       "      <td>395</td>\n",
       "      <td>318</td>\n",
       "      <td>50</td>\n",
       "      <td>397</td>\n",
       "      <td>85.242857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>75428</td>\n",
       "      <td>0.7</td>\n",
       "      <td>23.3</td>\n",
       "      <td>62.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4719</td>\n",
       "      <td>751</td>\n",
       "      <td>488</td>\n",
       "      <td>349</td>\n",
       "      <td>77</td>\n",
       "      <td>484</td>\n",
       "      <td>85.242857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>69768</td>\n",
       "      <td>3.6</td>\n",
       "      <td>44.9</td>\n",
       "      <td>33.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4596</td>\n",
       "      <td>730</td>\n",
       "      <td>537</td>\n",
       "      <td>548</td>\n",
       "      <td>59</td>\n",
       "      <td>655</td>\n",
       "      <td>85.242857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>56282</td>\n",
       "      <td>2.7</td>\n",
       "      <td>50.0</td>\n",
       "      <td>27.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>4767</td>\n",
       "      <td>816</td>\n",
       "      <td>527</td>\n",
       "      <td>416</td>\n",
       "      <td>50</td>\n",
       "      <td>645</td>\n",
       "      <td>85.242857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>113151</td>\n",
       "      <td>1.8</td>\n",
       "      <td>17.1</td>\n",
       "      <td>43.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4448</td>\n",
       "      <td>1713</td>\n",
       "      <td>453</td>\n",
       "      <td>415</td>\n",
       "      <td>110</td>\n",
       "      <td>643</td>\n",
       "      <td>90.925000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>112139</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.9</td>\n",
       "      <td>51.6</td>\n",
       "      <td>0.7</td>\n",
       "      <td>5436</td>\n",
       "      <td>2478</td>\n",
       "      <td>753</td>\n",
       "      <td>623</td>\n",
       "      <td>83</td>\n",
       "      <td>1027</td>\n",
       "      <td>90.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>82354</td>\n",
       "      <td>4.1</td>\n",
       "      <td>27.9</td>\n",
       "      <td>19.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>5601</td>\n",
       "      <td>2684</td>\n",
       "      <td>792</td>\n",
       "      <td>671</td>\n",
       "      <td>624</td>\n",
       "      <td>1076</td>\n",
       "      <td>90.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>102905</td>\n",
       "      <td>2.6</td>\n",
       "      <td>13.7</td>\n",
       "      <td>50.1</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3716</td>\n",
       "      <td>1109</td>\n",
       "      <td>400</td>\n",
       "      <td>567</td>\n",
       "      <td>68</td>\n",
       "      <td>553</td>\n",
       "      <td>88.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>91138</td>\n",
       "      <td>2.3</td>\n",
       "      <td>22.1</td>\n",
       "      <td>53.1</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4207</td>\n",
       "      <td>695</td>\n",
       "      <td>651</td>\n",
       "      <td>1159</td>\n",
       "      <td>111</td>\n",
       "      <td>1204</td>\n",
       "      <td>85.525000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>90651</td>\n",
       "      <td>3.5</td>\n",
       "      <td>62.1</td>\n",
       "      <td>15.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3900</td>\n",
       "      <td>1363</td>\n",
       "      <td>920</td>\n",
       "      <td>240</td>\n",
       "      <td>108</td>\n",
       "      <td>538</td>\n",
       "      <td>87.425000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>89345</td>\n",
       "      <td>1.2</td>\n",
       "      <td>29.4</td>\n",
       "      <td>46.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4455</td>\n",
       "      <td>1495</td>\n",
       "      <td>542</td>\n",
       "      <td>822</td>\n",
       "      <td>463</td>\n",
       "      <td>769</td>\n",
       "      <td>89.175000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>87428</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>42.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4451</td>\n",
       "      <td>694</td>\n",
       "      <td>673</td>\n",
       "      <td>631</td>\n",
       "      <td>47</td>\n",
       "      <td>545</td>\n",
       "      <td>84.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>67531</td>\n",
       "      <td>1.7</td>\n",
       "      <td>16.9</td>\n",
       "      <td>66.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4121</td>\n",
       "      <td>820</td>\n",
       "      <td>501</td>\n",
       "      <td>538</td>\n",
       "      <td>55</td>\n",
       "      <td>534</td>\n",
       "      <td>84.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>62181</td>\n",
       "      <td>2.7</td>\n",
       "      <td>35.2</td>\n",
       "      <td>47.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4543</td>\n",
       "      <td>616</td>\n",
       "      <td>593</td>\n",
       "      <td>491</td>\n",
       "      <td>56</td>\n",
       "      <td>470</td>\n",
       "      <td>84.560000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>85163</td>\n",
       "      <td>3.1</td>\n",
       "      <td>26.7</td>\n",
       "      <td>57.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3968</td>\n",
       "      <td>1666</td>\n",
       "      <td>620</td>\n",
       "      <td>962</td>\n",
       "      <td>45</td>\n",
       "      <td>832</td>\n",
       "      <td>83.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>81379</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17.3</td>\n",
       "      <td>57.4</td>\n",
       "      <td>0.9</td>\n",
       "      <td>5390</td>\n",
       "      <td>2544</td>\n",
       "      <td>554</td>\n",
       "      <td>674</td>\n",
       "      <td>97</td>\n",
       "      <td>971</td>\n",
       "      <td>90.975000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>78957</td>\n",
       "      <td>1.3</td>\n",
       "      <td>34.4</td>\n",
       "      <td>27.6</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2493</td>\n",
       "      <td>1410</td>\n",
       "      <td>194</td>\n",
       "      <td>237</td>\n",
       "      <td>25</td>\n",
       "      <td>406</td>\n",
       "      <td>93.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>78348</td>\n",
       "      <td>0.2</td>\n",
       "      <td>21.4</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>5637</td>\n",
       "      <td>2714</td>\n",
       "      <td>724</td>\n",
       "      <td>586</td>\n",
       "      <td>134</td>\n",
       "      <td>809</td>\n",
       "      <td>93.566667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>76918</td>\n",
       "      <td>2.9</td>\n",
       "      <td>12.9</td>\n",
       "      <td>29.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3572</td>\n",
       "      <td>1320</td>\n",
       "      <td>734</td>\n",
       "      <td>533</td>\n",
       "      <td>33</td>\n",
       "      <td>636</td>\n",
       "      <td>85.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>76206</td>\n",
       "      <td>6.1</td>\n",
       "      <td>44.0</td>\n",
       "      <td>18.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4121</td>\n",
       "      <td>1891</td>\n",
       "      <td>836</td>\n",
       "      <td>925</td>\n",
       "      <td>468</td>\n",
       "      <td>662</td>\n",
       "      <td>86.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>74146</td>\n",
       "      <td>1.2</td>\n",
       "      <td>25.8</td>\n",
       "      <td>60.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>4047</td>\n",
       "      <td>745</td>\n",
       "      <td>544</td>\n",
       "      <td>446</td>\n",
       "      <td>64</td>\n",
       "      <td>531</td>\n",
       "      <td>88.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>73444</td>\n",
       "      <td>2.4</td>\n",
       "      <td>20.6</td>\n",
       "      <td>38.4</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3253</td>\n",
       "      <td>896</td>\n",
       "      <td>340</td>\n",
       "      <td>679</td>\n",
       "      <td>60</td>\n",
       "      <td>522</td>\n",
       "      <td>90.833333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>73356</td>\n",
       "      <td>4.3</td>\n",
       "      <td>60.2</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4222</td>\n",
       "      <td>2082</td>\n",
       "      <td>747</td>\n",
       "      <td>751</td>\n",
       "      <td>97</td>\n",
       "      <td>732</td>\n",
       "      <td>73.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>73059</td>\n",
       "      <td>3.6</td>\n",
       "      <td>55.0</td>\n",
       "      <td>27.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4008</td>\n",
       "      <td>1359</td>\n",
       "      <td>593</td>\n",
       "      <td>383</td>\n",
       "      <td>70</td>\n",
       "      <td>527</td>\n",
       "      <td>88.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>72987</td>\n",
       "      <td>1.3</td>\n",
       "      <td>32.4</td>\n",
       "      <td>27.8</td>\n",
       "      <td>4.3</td>\n",
       "      <td>2694</td>\n",
       "      <td>1327</td>\n",
       "      <td>219</td>\n",
       "      <td>285</td>\n",
       "      <td>38</td>\n",
       "      <td>472</td>\n",
       "      <td>92.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>72493</td>\n",
       "      <td>2.3</td>\n",
       "      <td>27.3</td>\n",
       "      <td>26.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>3119</td>\n",
       "      <td>1012</td>\n",
       "      <td>408</td>\n",
       "      <td>521</td>\n",
       "      <td>60</td>\n",
       "      <td>544</td>\n",
       "      <td>87.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>69580</td>\n",
       "      <td>3.3</td>\n",
       "      <td>31.4</td>\n",
       "      <td>28.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>2873</td>\n",
       "      <td>1416</td>\n",
       "      <td>310</td>\n",
       "      <td>234</td>\n",
       "      <td>55</td>\n",
       "      <td>458</td>\n",
       "      <td>89.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>53416</td>\n",
       "      <td>0.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>57.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2474</td>\n",
       "      <td>1090</td>\n",
       "      <td>224</td>\n",
       "      <td>264</td>\n",
       "      <td>46</td>\n",
       "      <td>409</td>\n",
       "      <td>89.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>66671</td>\n",
       "      <td>2.2</td>\n",
       "      <td>21.5</td>\n",
       "      <td>22.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3507</td>\n",
       "      <td>1429</td>\n",
       "      <td>809</td>\n",
       "      <td>597</td>\n",
       "      <td>163</td>\n",
       "      <td>602</td>\n",
       "      <td>86.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>63444</td>\n",
       "      <td>3.6</td>\n",
       "      <td>45.3</td>\n",
       "      <td>32.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3005</td>\n",
       "      <td>904</td>\n",
       "      <td>674</td>\n",
       "      <td>463</td>\n",
       "      <td>45</td>\n",
       "      <td>388</td>\n",
       "      <td>86.316667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>63061</td>\n",
       "      <td>2.0</td>\n",
       "      <td>54.5</td>\n",
       "      <td>16.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>4362</td>\n",
       "      <td>2083</td>\n",
       "      <td>683</td>\n",
       "      <td>573</td>\n",
       "      <td>51</td>\n",
       "      <td>683</td>\n",
       "      <td>85.925000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>63028</td>\n",
       "      <td>2.9</td>\n",
       "      <td>19.0</td>\n",
       "      <td>40.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3332</td>\n",
       "      <td>947</td>\n",
       "      <td>361</td>\n",
       "      <td>569</td>\n",
       "      <td>57</td>\n",
       "      <td>572</td>\n",
       "      <td>88.180000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>60133</td>\n",
       "      <td>1.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>61.1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3825</td>\n",
       "      <td>1688</td>\n",
       "      <td>847</td>\n",
       "      <td>2001</td>\n",
       "      <td>205</td>\n",
       "      <td>756</td>\n",
       "      <td>86.466667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>60060</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>42.3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4045</td>\n",
       "      <td>1914</td>\n",
       "      <td>426</td>\n",
       "      <td>526</td>\n",
       "      <td>85</td>\n",
       "      <td>581</td>\n",
       "      <td>82.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>59424</td>\n",
       "      <td>4.4</td>\n",
       "      <td>46.5</td>\n",
       "      <td>31.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>4211</td>\n",
       "      <td>782</td>\n",
       "      <td>607</td>\n",
       "      <td>719</td>\n",
       "      <td>71</td>\n",
       "      <td>632</td>\n",
       "      <td>83.762500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>56628</td>\n",
       "      <td>4.3</td>\n",
       "      <td>47.6</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>3222</td>\n",
       "      <td>1282</td>\n",
       "      <td>539</td>\n",
       "      <td>424</td>\n",
       "      <td>162</td>\n",
       "      <td>528</td>\n",
       "      <td>84.575000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>55923</td>\n",
       "      <td>0.1</td>\n",
       "      <td>18.5</td>\n",
       "      <td>68.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4365</td>\n",
       "      <td>646</td>\n",
       "      <td>411</td>\n",
       "      <td>388</td>\n",
       "      <td>70</td>\n",
       "      <td>507</td>\n",
       "      <td>93.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>54173</td>\n",
       "      <td>1.5</td>\n",
       "      <td>35.7</td>\n",
       "      <td>39.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4878</td>\n",
       "      <td>670</td>\n",
       "      <td>518</td>\n",
       "      <td>388</td>\n",
       "      <td>96</td>\n",
       "      <td>489</td>\n",
       "      <td>93.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>55228</td>\n",
       "      <td>4.1</td>\n",
       "      <td>59.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4107</td>\n",
       "      <td>1410</td>\n",
       "      <td>571</td>\n",
       "      <td>304</td>\n",
       "      <td>46</td>\n",
       "      <td>492</td>\n",
       "      <td>89.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>54852</td>\n",
       "      <td>0.8</td>\n",
       "      <td>38.9</td>\n",
       "      <td>45.6</td>\n",
       "      <td>6.5</td>\n",
       "      <td>5169</td>\n",
       "      <td>1400</td>\n",
       "      <td>579</td>\n",
       "      <td>390</td>\n",
       "      <td>95</td>\n",
       "      <td>492</td>\n",
       "      <td>91.625000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>54215</td>\n",
       "      <td>3.9</td>\n",
       "      <td>38.1</td>\n",
       "      <td>29.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>5688</td>\n",
       "      <td>1929</td>\n",
       "      <td>1000</td>\n",
       "      <td>770</td>\n",
       "      <td>176</td>\n",
       "      <td>884</td>\n",
       "      <td>87.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>53257</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>30.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>4513</td>\n",
       "      <td>709</td>\n",
       "      <td>475</td>\n",
       "      <td>353</td>\n",
       "      <td>75</td>\n",
       "      <td>561</td>\n",
       "      <td>91.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>53157</td>\n",
       "      <td>0.7</td>\n",
       "      <td>11.1</td>\n",
       "      <td>74.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4738</td>\n",
       "      <td>1621</td>\n",
       "      <td>730</td>\n",
       "      <td>431</td>\n",
       "      <td>47</td>\n",
       "      <td>784</td>\n",
       "      <td>79.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>53152</td>\n",
       "      <td>1.1</td>\n",
       "      <td>47.9</td>\n",
       "      <td>20.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4324</td>\n",
       "      <td>1927</td>\n",
       "      <td>883</td>\n",
       "      <td>640</td>\n",
       "      <td>68</td>\n",
       "      <td>926</td>\n",
       "      <td>78.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>52514</td>\n",
       "      <td>3.9</td>\n",
       "      <td>62.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4200</td>\n",
       "      <td>1056</td>\n",
       "      <td>675</td>\n",
       "      <td>789</td>\n",
       "      <td>71</td>\n",
       "      <td>633</td>\n",
       "      <td>81.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>51425</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>45.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4032</td>\n",
       "      <td>1523</td>\n",
       "      <td>467</td>\n",
       "      <td>622</td>\n",
       "      <td>111</td>\n",
       "      <td>602</td>\n",
       "      <td>90.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>50600</td>\n",
       "      <td>3.6</td>\n",
       "      <td>53.9</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>4059</td>\n",
       "      <td>1620</td>\n",
       "      <td>987</td>\n",
       "      <td>599</td>\n",
       "      <td>99</td>\n",
       "      <td>699</td>\n",
       "      <td>88.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>49760</td>\n",
       "      <td>2.6</td>\n",
       "      <td>38.1</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3583</td>\n",
       "      <td>1821</td>\n",
       "      <td>413</td>\n",
       "      <td>1266</td>\n",
       "      <td>150</td>\n",
       "      <td>912</td>\n",
       "      <td>86.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>49255</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>24.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3747</td>\n",
       "      <td>1868</td>\n",
       "      <td>508</td>\n",
       "      <td>929</td>\n",
       "      <td>78</td>\n",
       "      <td>834</td>\n",
       "      <td>88.528571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>48884</td>\n",
       "      <td>2.8</td>\n",
       "      <td>13.3</td>\n",
       "      <td>47.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2828</td>\n",
       "      <td>840</td>\n",
       "      <td>370</td>\n",
       "      <td>470</td>\n",
       "      <td>72</td>\n",
       "      <td>501</td>\n",
       "      <td>87.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>48668</td>\n",
       "      <td>4.3</td>\n",
       "      <td>36.1</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>3703</td>\n",
       "      <td>1837</td>\n",
       "      <td>790</td>\n",
       "      <td>390</td>\n",
       "      <td>514</td>\n",
       "      <td>755</td>\n",
       "      <td>84.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>48551</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.4</td>\n",
       "      <td>52.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3781</td>\n",
       "      <td>1374</td>\n",
       "      <td>756</td>\n",
       "      <td>776</td>\n",
       "      <td>76</td>\n",
       "      <td>768</td>\n",
       "      <td>88.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Enrollment  Federal Title I  State General Formula Assistance  \\\n",
       "0       984462              3.2                              25.2   \n",
       "1       633621              3.6                              48.0   \n",
       "2        76428              2.7                              50.6   \n",
       "3       357249              3.8                              10.0   \n",
       "4       271852              2.5                              16.7   \n",
       "5       216106              3.7                               5.1   \n",
       "6       106145              1.8                              26.2   \n",
       "7       192721              2.3                               7.8   \n",
       "8       187467              0.7                              16.4   \n",
       "9       181550              1.8                              44.1   \n",
       "10      178214              2.1                              30.7   \n",
       "11      160467              1.8                              61.1   \n",
       "12      157886              3.9                              14.1   \n",
       "13       57133              2.1                              44.5   \n",
       "14      133929              4.4                              33.2   \n",
       "15      130814              1.6                              25.7   \n",
       "16      128040              2.2                              20.3   \n",
       "17      114868              1.5                              27.8   \n",
       "18       75428              0.7                              23.3   \n",
       "19       69768              3.6                              44.9   \n",
       "20       56282              2.7                              50.0   \n",
       "21      113151              1.8                              17.1   \n",
       "22      112139              1.5                              20.9   \n",
       "23       82354              4.1                              27.9   \n",
       "24      102905              2.6                              13.7   \n",
       "25       91138              2.3                              22.1   \n",
       "26       90651              3.5                              62.1   \n",
       "27       89345              1.2                              29.4   \n",
       "28       87428              4.0                              36.8   \n",
       "29       67531              1.7                              16.9   \n",
       "30       62181              2.7                              35.2   \n",
       "31       85163              3.1                              26.7   \n",
       "32       81379              1.0                              17.3   \n",
       "33       78957              1.3                              34.4   \n",
       "34       78348              0.2                              21.4   \n",
       "35       76918              2.9                              12.9   \n",
       "36       76206              6.1                              44.0   \n",
       "37       74146              1.2                              25.8   \n",
       "38       73444              2.4                              20.6   \n",
       "39       73356              4.3                              60.2   \n",
       "40       73059              3.6                              55.0   \n",
       "41       72987              1.3                              32.4   \n",
       "42       72493              2.3                              27.3   \n",
       "43       69580              3.3                              31.4   \n",
       "44       53416              0.8                              18.0   \n",
       "45       66671              2.2                              21.5   \n",
       "46       63444              3.6                              45.3   \n",
       "47       63061              2.0                              54.5   \n",
       "48       63028              2.9                              19.0   \n",
       "49       60133              1.2                              10.4   \n",
       "50       60060              1.0                              36.4   \n",
       "51       59424              4.4                              46.5   \n",
       "52       56628              4.3                              47.6   \n",
       "53       55923              0.1                              18.5   \n",
       "54       54173              1.5                              35.7   \n",
       "55       55228              4.1                              59.2   \n",
       "56       54852              0.8                              38.9   \n",
       "57       54215              3.9                              38.1   \n",
       "58       53257              1.0                              33.3   \n",
       "59       53157              0.7                              11.1   \n",
       "60       53152              1.1                              47.9   \n",
       "61       52514              3.9                              62.2   \n",
       "62       51425              2.0                              32.0   \n",
       "63       50600              3.6                              53.9   \n",
       "64       49760              2.6                              38.1   \n",
       "65       49255              2.0                              48.0   \n",
       "66       48884              2.8                              13.3   \n",
       "67       48668              4.3                              36.1   \n",
       "68       48551              2.0                               5.4   \n",
       "\n",
       "    Local Taxes Parent Government Contributions  Charges  \\\n",
       "0                                          52.1      0.2   \n",
       "1                                          20.2      0.8   \n",
       "2                                          16.1      0.6   \n",
       "3                                          52.5      3.6   \n",
       "4                                          43.3      4.5   \n",
       "5                                          75.9      0.5   \n",
       "6                                          55.9      2.6   \n",
       "7                                          58.4      6.2   \n",
       "8                                          68.7      1.9   \n",
       "9                                           0.0      1.5   \n",
       "10                                         37.9      2.7   \n",
       "11                                         28.5      2.1   \n",
       "12                                         64.8      0.5   \n",
       "13                                         35.5      2.1   \n",
       "14                                         36.0      0.0   \n",
       "15                                         37.8      0.7   \n",
       "16                                         49.2      0.7   \n",
       "17                                         55.8      3.3   \n",
       "18                                         62.2      3.5   \n",
       "19                                         33.5      1.3   \n",
       "20                                         27.8      1.9   \n",
       "21                                         43.8      4.7   \n",
       "22                                         51.6      0.7   \n",
       "23                                         19.4      0.1   \n",
       "24                                         50.1      3.1   \n",
       "25                                         53.1      3.9   \n",
       "26                                         15.2      0.8   \n",
       "27                                         46.2      2.0   \n",
       "28                                         42.5      1.0   \n",
       "29                                         66.6      3.1   \n",
       "30                                         47.3      1.4   \n",
       "31                                         57.9      1.8   \n",
       "32                                         57.4      0.9   \n",
       "33                                         27.6      5.1   \n",
       "34                                         65.0      2.1   \n",
       "35                                         29.9      4.0   \n",
       "36                                         18.1      1.0   \n",
       "37                                         60.6      2.2   \n",
       "38                                         38.4      3.5   \n",
       "39                                          9.8      0.2   \n",
       "40                                         27.2      1.8   \n",
       "41                                         27.8      4.3   \n",
       "42                                         26.9      3.7   \n",
       "43                                         28.6      3.4   \n",
       "44                                         57.3      1.4   \n",
       "45                                         22.5      1.0   \n",
       "46                                         32.1      2.4   \n",
       "47                                         16.1      0.6   \n",
       "48                                         40.9      3.6   \n",
       "49                                         61.1      1.2   \n",
       "50                                         42.3      2.1   \n",
       "51                                         31.5      0.8   \n",
       "52                                         22.0      1.7   \n",
       "53                                         68.7      4.0   \n",
       "54                                         39.7      1.6   \n",
       "55                                         23.9      1.4   \n",
       "56                                         45.6      6.5   \n",
       "57                                         29.1      1.9   \n",
       "58                                         30.9      3.7   \n",
       "59                                         74.4      3.9   \n",
       "60                                         20.9      0.9   \n",
       "61                                          5.9      0.2   \n",
       "62                                         45.6      2.1   \n",
       "63                                         14.0      0.9   \n",
       "64                                         28.9      0.1   \n",
       "65                                         24.5      1.2   \n",
       "66                                         47.4      6.0   \n",
       "67                                         46.0      0.9   \n",
       "68                                         52.6      1.8   \n",
       "\n",
       "    Instruction_Salaries  Instruction_EmployeeBenefits  Support_Pupil  \\\n",
       "0                  10413                          6584            129   \n",
       "1                   4466                          2296            729   \n",
       "2                   4562                          2235            608   \n",
       "3                   3094                          1119            386   \n",
       "4                   3073                           882            479   \n",
       "5                   3663                           610            374   \n",
       "6                   4230                           801            427   \n",
       "7                   3424                          1202            307   \n",
       "8                   6037                          2606            853   \n",
       "9                   5262                          2314           1348   \n",
       "10                  3921                          1471            434   \n",
       "11                  4105                          1368            515   \n",
       "12                  4398                           683            553   \n",
       "13                  4078                           641            520   \n",
       "14                  3607                          2505            454   \n",
       "15                  5935                          2561            777   \n",
       "16                  4200                          2250           1007   \n",
       "17                  4317                           630            395   \n",
       "18                  4719                           751            488   \n",
       "19                  4596                           730            537   \n",
       "20                  4767                           816            527   \n",
       "21                  4448                          1713            453   \n",
       "22                  5436                          2478            753   \n",
       "23                  5601                          2684            792   \n",
       "24                  3716                          1109            400   \n",
       "25                  4207                           695            651   \n",
       "26                  3900                          1363            920   \n",
       "27                  4455                          1495            542   \n",
       "28                  4451                           694            673   \n",
       "29                  4121                           820            501   \n",
       "30                  4543                           616            593   \n",
       "31                  3968                          1666            620   \n",
       "32                  5390                          2544            554   \n",
       "33                  2493                          1410            194   \n",
       "34                  5637                          2714            724   \n",
       "35                  3572                          1320            734   \n",
       "36                  4121                          1891            836   \n",
       "37                  4047                           745            544   \n",
       "38                  3253                           896            340   \n",
       "39                  4222                          2082            747   \n",
       "40                  4008                          1359            593   \n",
       "41                  2694                          1327            219   \n",
       "42                  3119                          1012            408   \n",
       "43                  2873                          1416            310   \n",
       "44                  2474                          1090            224   \n",
       "45                  3507                          1429            809   \n",
       "46                  3005                           904            674   \n",
       "47                  4362                          2083            683   \n",
       "48                  3332                           947            361   \n",
       "49                  3825                          1688            847   \n",
       "50                  4045                          1914            426   \n",
       "51                  4211                           782            607   \n",
       "52                  3222                          1282            539   \n",
       "53                  4365                           646            411   \n",
       "54                  4878                           670            518   \n",
       "55                  4107                          1410            571   \n",
       "56                  5169                          1400            579   \n",
       "57                  5688                          1929           1000   \n",
       "58                  4513                           709            475   \n",
       "59                  4738                          1621            730   \n",
       "60                  4324                          1927            883   \n",
       "61                  4200                          1056            675   \n",
       "62                  4032                          1523            467   \n",
       "63                  4059                          1620            987   \n",
       "64                  3583                          1821            413   \n",
       "65                  3747                          1868            508   \n",
       "66                  2828                           840            370   \n",
       "67                  3703                          1837            790   \n",
       "68                  3781                          1374            756   \n",
       "\n",
       "    Support_Staff  Support_GeneralAdmin  Support_SchoolAdmin  Grad Rate  \n",
       "0             102                    87                  574  86.800000  \n",
       "1             987                    92                  978  76.875000  \n",
       "2             627                    65                  697  76.875000  \n",
       "3             432                    65                  460  79.600000  \n",
       "4             427                    69                  504  88.033333  \n",
       "5             435                   133                  614  84.785000  \n",
       "6             458                    44                  451  84.785000  \n",
       "7             593                    94                  546  87.625000  \n",
       "8             995                    62                  858  91.800000  \n",
       "9             483                    71                 1028  91.133333  \n",
       "10            364                    52                  752  87.333333  \n",
       "11            282                    50                  485  91.925000  \n",
       "12            677                    88                  596  81.646667  \n",
       "13            547                    61                  525  81.646667  \n",
       "14            493                   458                  493  80.640000  \n",
       "15            572                   110                  952  85.680000  \n",
       "16            543                    77                  753  85.900000  \n",
       "17            318                    50                  397  85.242857  \n",
       "18            349                    77                  484  85.242857  \n",
       "19            548                    59                  655  85.242857  \n",
       "20            416                    50                  645  85.242857  \n",
       "21            415                   110                  643  90.925000  \n",
       "22            623                    83                 1027  90.150000  \n",
       "23            671                   624                 1076  90.150000  \n",
       "24            567                    68                  553  88.400000  \n",
       "25           1159                   111                 1204  85.525000  \n",
       "26            240                   108                  538  87.425000  \n",
       "27            822                   463                  769  89.175000  \n",
       "28            631                    47                  545  84.560000  \n",
       "29            538                    55                  534  84.560000  \n",
       "30            491                    56                  470  84.560000  \n",
       "31            962                    45                  832  83.600000  \n",
       "32            674                    97                  971  90.975000  \n",
       "33            237                    25                  406  93.300000  \n",
       "34            586                   134                  809  93.566667  \n",
       "35            533                    33                  636  85.650000  \n",
       "36            925                   468                  662  86.700000  \n",
       "37            446                    64                  531  88.580000  \n",
       "38            679                    60                  522  90.833333  \n",
       "39            751                    97                  732  73.300000  \n",
       "40            383                    70                  527  88.075000  \n",
       "41            285                    38                  472  92.250000  \n",
       "42            521                    60                  544  87.200000  \n",
       "43            234                    55                  458  89.433333  \n",
       "44            264                    46                  409  89.433333  \n",
       "45            597                   163                  602  86.650000  \n",
       "46            463                    45                  388  86.316667  \n",
       "47            573                    51                  683  85.925000  \n",
       "48            569                    57                  572  88.180000  \n",
       "49           2001                   205                  756  86.466667  \n",
       "50            526                    85                  581  82.200000  \n",
       "51            719                    71                  632  83.762500  \n",
       "52            424                   162                  528  84.575000  \n",
       "53            388                    70                  507  93.250000  \n",
       "54            388                    96                  489  93.250000  \n",
       "55            304                    46                  492  89.900000  \n",
       "56            390                    95                  492  91.625000  \n",
       "57            770                   176                  884  87.600000  \n",
       "58            353                    75                  561  91.950000  \n",
       "59            431                    47                  784  79.700000  \n",
       "60            640                    68                  926  78.300000  \n",
       "61            789                    71                  633  81.700000  \n",
       "62            622                   111                  602  90.500000  \n",
       "63            599                    99                  699  88.285714  \n",
       "64           1266                   150                  912  86.700000  \n",
       "65            929                    78                  834  88.528571  \n",
       "66            470                    72                  501  87.800000  \n",
       "67            390                   514                  755  84.400000  \n",
       "68            776                    76                  768  88.800000  "
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df = money.merge(merged, left_on=[\"School System\",\"State\"], right_on=[\"County Name\",\"State\"])\n",
    "full_df = pd.concat([full_df.iloc[:,2:-3],full_df.iloc[:,-1]], axis=1)\n",
    "# full_df.iloc[28,0] = 87428\n",
    "full_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10413.0</td>\n",
       "      <td>6584.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>574.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4466.0</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>729.0</td>\n",
       "      <td>987.0</td>\n",
       "      <td>978.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4562.0</td>\n",
       "      <td>2235.0</td>\n",
       "      <td>608.0</td>\n",
       "      <td>627.0</td>\n",
       "      <td>697.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3094.0</td>\n",
       "      <td>1119.0</td>\n",
       "      <td>386.0</td>\n",
       "      <td>432.0</td>\n",
       "      <td>460.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3073.0</td>\n",
       "      <td>882.0</td>\n",
       "      <td>479.0</td>\n",
       "      <td>427.0</td>\n",
       "      <td>504.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3663.0</td>\n",
       "      <td>610.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>614.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4230.0</td>\n",
       "      <td>801.0</td>\n",
       "      <td>427.0</td>\n",
       "      <td>458.0</td>\n",
       "      <td>451.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3424.0</td>\n",
       "      <td>1202.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>546.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>6037.0</td>\n",
       "      <td>2606.0</td>\n",
       "      <td>853.0</td>\n",
       "      <td>995.0</td>\n",
       "      <td>858.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5262.0</td>\n",
       "      <td>2314.0</td>\n",
       "      <td>1348.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>1028.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3921.0</td>\n",
       "      <td>1471.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>752.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4105.0</td>\n",
       "      <td>1368.0</td>\n",
       "      <td>515.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>485.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4398.0</td>\n",
       "      <td>683.0</td>\n",
       "      <td>553.0</td>\n",
       "      <td>677.0</td>\n",
       "      <td>596.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4078.0</td>\n",
       "      <td>641.0</td>\n",
       "      <td>520.0</td>\n",
       "      <td>547.0</td>\n",
       "      <td>525.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3607.0</td>\n",
       "      <td>2505.0</td>\n",
       "      <td>454.0</td>\n",
       "      <td>493.0</td>\n",
       "      <td>493.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5935.0</td>\n",
       "      <td>2561.0</td>\n",
       "      <td>777.0</td>\n",
       "      <td>572.0</td>\n",
       "      <td>952.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4200.0</td>\n",
       "      <td>2250.0</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>753.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4317.0</td>\n",
       "      <td>630.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>318.0</td>\n",
       "      <td>397.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4719.0</td>\n",
       "      <td>751.0</td>\n",
       "      <td>488.0</td>\n",
       "      <td>349.0</td>\n",
       "      <td>484.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4596.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>548.0</td>\n",
       "      <td>655.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4767.0</td>\n",
       "      <td>816.0</td>\n",
       "      <td>527.0</td>\n",
       "      <td>416.0</td>\n",
       "      <td>645.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4448.0</td>\n",
       "      <td>1713.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>415.0</td>\n",
       "      <td>643.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5436.0</td>\n",
       "      <td>2478.0</td>\n",
       "      <td>753.0</td>\n",
       "      <td>623.0</td>\n",
       "      <td>1027.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5601.0</td>\n",
       "      <td>2684.0</td>\n",
       "      <td>792.0</td>\n",
       "      <td>671.0</td>\n",
       "      <td>1076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>3716.0</td>\n",
       "      <td>1109.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>567.0</td>\n",
       "      <td>553.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4207.0</td>\n",
       "      <td>695.0</td>\n",
       "      <td>651.0</td>\n",
       "      <td>1159.0</td>\n",
       "      <td>1204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>3900.0</td>\n",
       "      <td>1363.0</td>\n",
       "      <td>920.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>538.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4455.0</td>\n",
       "      <td>1495.0</td>\n",
       "      <td>542.0</td>\n",
       "      <td>822.0</td>\n",
       "      <td>769.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4451.0</td>\n",
       "      <td>694.0</td>\n",
       "      <td>673.0</td>\n",
       "      <td>631.0</td>\n",
       "      <td>545.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4121.0</td>\n",
       "      <td>820.0</td>\n",
       "      <td>501.0</td>\n",
       "      <td>538.0</td>\n",
       "      <td>534.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4543.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>470.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>3968.0</td>\n",
       "      <td>1666.0</td>\n",
       "      <td>620.0</td>\n",
       "      <td>962.0</td>\n",
       "      <td>832.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5390.0</td>\n",
       "      <td>2544.0</td>\n",
       "      <td>554.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>971.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2493.0</td>\n",
       "      <td>1410.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>406.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>5637.0</td>\n",
       "      <td>2714.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>586.0</td>\n",
       "      <td>809.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>3572.0</td>\n",
       "      <td>1320.0</td>\n",
       "      <td>734.0</td>\n",
       "      <td>533.0</td>\n",
       "      <td>636.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>4121.0</td>\n",
       "      <td>1891.0</td>\n",
       "      <td>836.0</td>\n",
       "      <td>925.0</td>\n",
       "      <td>662.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4047.0</td>\n",
       "      <td>745.0</td>\n",
       "      <td>544.0</td>\n",
       "      <td>446.0</td>\n",
       "      <td>531.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>3253.0</td>\n",
       "      <td>896.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>522.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>4222.0</td>\n",
       "      <td>2082.0</td>\n",
       "      <td>747.0</td>\n",
       "      <td>751.0</td>\n",
       "      <td>732.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>4008.0</td>\n",
       "      <td>1359.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>383.0</td>\n",
       "      <td>527.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2694.0</td>\n",
       "      <td>1327.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>472.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>3119.0</td>\n",
       "      <td>1012.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>521.0</td>\n",
       "      <td>544.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2873.0</td>\n",
       "      <td>1416.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>458.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2474.0</td>\n",
       "      <td>1090.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>264.0</td>\n",
       "      <td>409.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>3507.0</td>\n",
       "      <td>1429.0</td>\n",
       "      <td>809.0</td>\n",
       "      <td>597.0</td>\n",
       "      <td>602.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>3005.0</td>\n",
       "      <td>904.0</td>\n",
       "      <td>674.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>388.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4362.0</td>\n",
       "      <td>2083.0</td>\n",
       "      <td>683.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>683.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>3332.0</td>\n",
       "      <td>947.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>569.0</td>\n",
       "      <td>572.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>3825.0</td>\n",
       "      <td>1688.0</td>\n",
       "      <td>847.0</td>\n",
       "      <td>2001.0</td>\n",
       "      <td>756.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>4045.0</td>\n",
       "      <td>1914.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>526.0</td>\n",
       "      <td>581.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>4211.0</td>\n",
       "      <td>782.0</td>\n",
       "      <td>607.0</td>\n",
       "      <td>719.0</td>\n",
       "      <td>632.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>3222.0</td>\n",
       "      <td>1282.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>528.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>4365.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>388.0</td>\n",
       "      <td>507.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>4878.0</td>\n",
       "      <td>670.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>388.0</td>\n",
       "      <td>489.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>4107.0</td>\n",
       "      <td>1410.0</td>\n",
       "      <td>571.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>492.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>5169.0</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>492.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>5688.0</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>770.0</td>\n",
       "      <td>884.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>4513.0</td>\n",
       "      <td>709.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>353.0</td>\n",
       "      <td>561.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>4738.0</td>\n",
       "      <td>1621.0</td>\n",
       "      <td>730.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>4324.0</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>883.0</td>\n",
       "      <td>640.0</td>\n",
       "      <td>926.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>4200.0</td>\n",
       "      <td>1056.0</td>\n",
       "      <td>675.0</td>\n",
       "      <td>789.0</td>\n",
       "      <td>633.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>4032.0</td>\n",
       "      <td>1523.0</td>\n",
       "      <td>467.0</td>\n",
       "      <td>622.0</td>\n",
       "      <td>602.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>4059.0</td>\n",
       "      <td>1620.0</td>\n",
       "      <td>987.0</td>\n",
       "      <td>599.0</td>\n",
       "      <td>699.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>3583.0</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>1266.0</td>\n",
       "      <td>912.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>3747.0</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>508.0</td>\n",
       "      <td>929.0</td>\n",
       "      <td>834.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2828.0</td>\n",
       "      <td>840.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>501.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>3703.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>790.0</td>\n",
       "      <td>390.0</td>\n",
       "      <td>755.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>3781.0</td>\n",
       "      <td>1374.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>776.0</td>\n",
       "      <td>768.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0       1       2       3       4\n",
       "0   10413.0  6584.0   129.0   102.0   574.0\n",
       "1    4466.0  2296.0   729.0   987.0   978.0\n",
       "2    4562.0  2235.0   608.0   627.0   697.0\n",
       "3    3094.0  1119.0   386.0   432.0   460.0\n",
       "4    3073.0   882.0   479.0   427.0   504.0\n",
       "5    3663.0   610.0   374.0   435.0   614.0\n",
       "6    4230.0   801.0   427.0   458.0   451.0\n",
       "7    3424.0  1202.0   307.0   593.0   546.0\n",
       "8    6037.0  2606.0   853.0   995.0   858.0\n",
       "9    5262.0  2314.0  1348.0   483.0  1028.0\n",
       "10   3921.0  1471.0   434.0   364.0   752.0\n",
       "11   4105.0  1368.0   515.0   282.0   485.0\n",
       "12   4398.0   683.0   553.0   677.0   596.0\n",
       "13   4078.0   641.0   520.0   547.0   525.0\n",
       "14   3607.0  2505.0   454.0   493.0   493.0\n",
       "15   5935.0  2561.0   777.0   572.0   952.0\n",
       "16   4200.0  2250.0  1007.0   543.0   753.0\n",
       "17   4317.0   630.0   395.0   318.0   397.0\n",
       "18   4719.0   751.0   488.0   349.0   484.0\n",
       "19   4596.0   730.0   537.0   548.0   655.0\n",
       "20   4767.0   816.0   527.0   416.0   645.0\n",
       "21   4448.0  1713.0   453.0   415.0   643.0\n",
       "22   5436.0  2478.0   753.0   623.0  1027.0\n",
       "23   5601.0  2684.0   792.0   671.0  1076.0\n",
       "24   3716.0  1109.0   400.0   567.0   553.0\n",
       "25   4207.0   695.0   651.0  1159.0  1204.0\n",
       "26   3900.0  1363.0   920.0   240.0   538.0\n",
       "27   4455.0  1495.0   542.0   822.0   769.0\n",
       "28   4451.0   694.0   673.0   631.0   545.0\n",
       "29   4121.0   820.0   501.0   538.0   534.0\n",
       "30   4543.0   616.0   593.0   491.0   470.0\n",
       "31   3968.0  1666.0   620.0   962.0   832.0\n",
       "32   5390.0  2544.0   554.0   674.0   971.0\n",
       "33   2493.0  1410.0   194.0   237.0   406.0\n",
       "34   5637.0  2714.0   724.0   586.0   809.0\n",
       "35   3572.0  1320.0   734.0   533.0   636.0\n",
       "36   4121.0  1891.0   836.0   925.0   662.0\n",
       "37   4047.0   745.0   544.0   446.0   531.0\n",
       "38   3253.0   896.0   340.0   679.0   522.0\n",
       "39   4222.0  2082.0   747.0   751.0   732.0\n",
       "40   4008.0  1359.0   593.0   383.0   527.0\n",
       "41   2694.0  1327.0   219.0   285.0   472.0\n",
       "42   3119.0  1012.0   408.0   521.0   544.0\n",
       "43   2873.0  1416.0   310.0   234.0   458.0\n",
       "44   2474.0  1090.0   224.0   264.0   409.0\n",
       "45   3507.0  1429.0   809.0   597.0   602.0\n",
       "46   3005.0   904.0   674.0   463.0   388.0\n",
       "47   4362.0  2083.0   683.0   573.0   683.0\n",
       "48   3332.0   947.0   361.0   569.0   572.0\n",
       "49   3825.0  1688.0   847.0  2001.0   756.0\n",
       "50   4045.0  1914.0   426.0   526.0   581.0\n",
       "51   4211.0   782.0   607.0   719.0   632.0\n",
       "52   3222.0  1282.0   539.0   424.0   528.0\n",
       "53   4365.0   646.0   411.0   388.0   507.0\n",
       "54   4878.0   670.0   518.0   388.0   489.0\n",
       "55   4107.0  1410.0   571.0   304.0   492.0\n",
       "56   5169.0  1400.0   579.0   390.0   492.0\n",
       "57   5688.0  1929.0  1000.0   770.0   884.0\n",
       "58   4513.0   709.0   475.0   353.0   561.0\n",
       "59   4738.0  1621.0   730.0   431.0   784.0\n",
       "60   4324.0  1927.0   883.0   640.0   926.0\n",
       "61   4200.0  1056.0   675.0   789.0   633.0\n",
       "62   4032.0  1523.0   467.0   622.0   602.0\n",
       "63   4059.0  1620.0   987.0   599.0   699.0\n",
       "64   3583.0  1821.0   413.0  1266.0   912.0\n",
       "65   3747.0  1868.0   508.0   929.0   834.0\n",
       "66   2828.0   840.0   370.0   470.0   501.0\n",
       "67   3703.0  1837.0   790.0   390.0   755.0\n",
       "68   3781.0  1374.0   756.0   776.0   768.0"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import load_digits\n",
    "from sklearn.feature_selection import SelectKBest, f_classif\n",
    "\n",
    "X = full_df.iloc[:, :-1]\n",
    "y = full_df.iloc[:,-1]\n",
    "\n",
    "X_new = SelectKBest(f_classif, k=5).fit_transform(X, y)\n",
    "pd.DataFrame(X_new)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06586352038332732"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = linear_model.LinearRegression().fit(X_new[:53], y[:53])\n",
    "y_test = reg.predict(X_new[53:])\n",
    "reg.score(X_new[:53], y[:53])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}