Graduation Rate vs Non Waver Rate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Graduation Rate vs Non Wavier Rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "import numpy as np\n",
    "from matplotlib import rc\n",
    "import textwrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pull grad rate csv files 2015-2019\n",
    "grad_rates2015 = pd.read_csv('Resources/2015_grad_rates_revised.csv')\n",
    "grad_rates2016 = pd.read_csv('Resources/2016_grad_rates_revised.csv')\n",
    "grad_rates2017 = pd.read_csv('Resources/2017_grad_rates_revised.csv')\n",
    "grad_rates2018 = pd.read_csv('Resources/2018_grad_rates_revised.csv')\n",
    "grad_rates2019 = pd.read_csv('Resources/2019_grad_rates_revised.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Corp Id</th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>Cohort N</th>\n",
       "      <th>Grad N</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>Non-Waiver Grad N</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>95</td>\n",
       "      <td>90</td>\n",
       "      <td>94.70%</td>\n",
       "      <td>87</td>\n",
       "      <td>91.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5265</td>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>112</td>\n",
       "      <td>98</td>\n",
       "      <td>87.50%</td>\n",
       "      <td>97</td>\n",
       "      <td>86.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5275</td>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>394</td>\n",
       "      <td>353</td>\n",
       "      <td>89.60%</td>\n",
       "      <td>277</td>\n",
       "      <td>70.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5470</td>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>46</td>\n",
       "      <td>34</td>\n",
       "      <td>73.90%</td>\n",
       "      <td>34</td>\n",
       "      <td>73.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2435</td>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>68</td>\n",
       "      <td>67</td>\n",
       "      <td>98.50%</td>\n",
       "      <td>64</td>\n",
       "      <td>94.10%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Corp Id                         Corporation Name  Cohort N  Grad N  \\\n",
       "0       15          Adams Central Community Schools        95      90   \n",
       "1     5265  Alexandria Community School Corporation       112      98   \n",
       "2     5275    Anderson Community School Corporation       394     353   \n",
       "3     5470                  Argos Community Schools        46      34   \n",
       "4     2435   Attica Consolidated School Corporation        68      67   \n",
       "\n",
       "  State Grad Rate  Non-Waiver Grad N State Non-Waiver Grad Rate  \n",
       "0          94.70%                 87                     91.60%  \n",
       "1          87.50%                 97                     86.60%  \n",
       "2          89.60%                277                     70.30%  \n",
       "3          73.90%                 34                     73.90%  \n",
       "4          98.50%                 64                     94.10%  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename Coporation Name column. Print 2015 grad rates\n",
    "grad_rates2015 = grad_rates2015.rename(columns={'CORPORATION NAME' : 'Corporation Name'})\n",
    "grad_rates2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Corp Id</th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>Cohort N</th>\n",
       "      <th>Grad N</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>Non-Waiver Grad N</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>87</td>\n",
       "      <td>86</td>\n",
       "      <td>98.90%</td>\n",
       "      <td>85</td>\n",
       "      <td>97.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5265</td>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>117</td>\n",
       "      <td>112</td>\n",
       "      <td>95.70%</td>\n",
       "      <td>108</td>\n",
       "      <td>92.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5275</td>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>387</td>\n",
       "      <td>367</td>\n",
       "      <td>94.80%</td>\n",
       "      <td>298</td>\n",
       "      <td>77.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5470</td>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>48</td>\n",
       "      <td>38</td>\n",
       "      <td>79.20%</td>\n",
       "      <td>37</td>\n",
       "      <td>77.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2435</td>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>61</td>\n",
       "      <td>57</td>\n",
       "      <td>93.40%</td>\n",
       "      <td>53</td>\n",
       "      <td>86.90%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Corp Id                         Corporation Name  Cohort N  Grad N  \\\n",
       "0       15          Adams Central Community Schools        87      86   \n",
       "1     5265  Alexandria Community School Corporation       117     112   \n",
       "2     5275    Anderson Community School Corporation       387     367   \n",
       "3     5470                  Argos Community Schools        48      38   \n",
       "4     2435   Attica Consolidated School Corporation        61      57   \n",
       "\n",
       "  State Grad Rate  Non-Waiver Grad N State Non-Waiver Grad Rate  \n",
       "0          98.90%                 85                     97.70%  \n",
       "1          95.70%                108                     92.30%  \n",
       "2          94.80%                298                     77.00%  \n",
       "3          79.20%                 37                     77.10%  \n",
       "4          93.40%                 53                     86.90%  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename Coporation Name column. Print 2016 grad rates\n",
    "grad_rates2016 = grad_rates2016.rename(columns={'CORPORATION NAME' : 'Corporation Name'})\n",
    "grad_rates2016.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Corp Id</th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>Cohort N</th>\n",
       "      <th>Grad N</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>Non-Waiver Grad N</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>95</td>\n",
       "      <td>93</td>\n",
       "      <td>97.89%</td>\n",
       "      <td>91</td>\n",
       "      <td>95.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5265</td>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>124</td>\n",
       "      <td>117</td>\n",
       "      <td>94.35%</td>\n",
       "      <td>110</td>\n",
       "      <td>88.71%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5275</td>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>387</td>\n",
       "      <td>371</td>\n",
       "      <td>95.87%</td>\n",
       "      <td>288</td>\n",
       "      <td>74.42%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5470</td>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>47</td>\n",
       "      <td>43</td>\n",
       "      <td>91.49%</td>\n",
       "      <td>41</td>\n",
       "      <td>87.23%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2435</td>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>52</td>\n",
       "      <td>47</td>\n",
       "      <td>90.38%</td>\n",
       "      <td>42</td>\n",
       "      <td>80.77%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Corp Id                         Corporation Name  Cohort N  Grad N  \\\n",
       "0       15          Adams Central Community Schools        95      93   \n",
       "1     5265  Alexandria Community School Corporation       124     117   \n",
       "2     5275    Anderson Community School Corporation       387     371   \n",
       "3     5470                  Argos Community Schools        47      43   \n",
       "4     2435   Attica Consolidated School Corporation        52      47   \n",
       "\n",
       "  State Grad Rate  Non-Waiver Grad N State Non-Waiver Grad Rate  \n",
       "0          97.89%                 91                     95.79%  \n",
       "1          94.35%                110                     88.71%  \n",
       "2          95.87%                288                     74.42%  \n",
       "3          91.49%                 41                     87.23%  \n",
       "4          90.38%                 42                     80.77%  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename Coporation Name column. Print 2017 grad rates\n",
    "grad_rates2017 = grad_rates2017.rename(columns={'CORPORATION NAME' : 'Corporation Name'})\n",
    "grad_rates2017.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Corp Id</th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>Cohort N</th>\n",
       "      <th>Grad N</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>Non-Waiver Grad N</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>99</td>\n",
       "      <td>98</td>\n",
       "      <td>98.99%</td>\n",
       "      <td>95</td>\n",
       "      <td>95.96%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5265</td>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>94</td>\n",
       "      <td>90</td>\n",
       "      <td>95.74%</td>\n",
       "      <td>73</td>\n",
       "      <td>77.66%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5275</td>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>457</td>\n",
       "      <td>367</td>\n",
       "      <td>80.31%</td>\n",
       "      <td>327</td>\n",
       "      <td>71.55%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5470</td>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>56</td>\n",
       "      <td>48</td>\n",
       "      <td>85.71%</td>\n",
       "      <td>43</td>\n",
       "      <td>76.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2435</td>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>50</td>\n",
       "      <td>49</td>\n",
       "      <td>98.00%</td>\n",
       "      <td>48</td>\n",
       "      <td>96.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Corp Id                         Corporation Name  Cohort N  Grad N  \\\n",
       "0       15          Adams Central Community Schools        99      98   \n",
       "1     5265  Alexandria Community School Corporation        94      90   \n",
       "2     5275    Anderson Community School Corporation       457     367   \n",
       "3     5470                  Argos Community Schools        56      48   \n",
       "4     2435   Attica Consolidated School Corporation        50      49   \n",
       "\n",
       "  State Grad Rate  Non-Waiver Grad N State Non-Waiver Grad Rate  \n",
       "0          98.99%                 95                     95.96%  \n",
       "1          95.74%                 73                     77.66%  \n",
       "2          80.31%                327                     71.55%  \n",
       "3          85.71%                 43                     76.79%  \n",
       "4          98.00%                 48                     96.00%  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename Coporation Name column. Print 2018 grad rates\n",
    "grad_rates2018 = grad_rates2018.rename(columns={'CORPORATION NAME' : 'Corporation Name'})\n",
    "grad_rates2018.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Corp Id</th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>Cohort N</th>\n",
       "      <th>Grad N</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>Non-Waiver Grad N</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15</td>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>99</td>\n",
       "      <td>98</td>\n",
       "      <td>98.99%</td>\n",
       "      <td>95</td>\n",
       "      <td>95.96%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5265</td>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>94</td>\n",
       "      <td>90</td>\n",
       "      <td>95.74%</td>\n",
       "      <td>73</td>\n",
       "      <td>77.66%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5275</td>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>457</td>\n",
       "      <td>367</td>\n",
       "      <td>80.31%</td>\n",
       "      <td>327</td>\n",
       "      <td>71.55%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5470</td>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>56</td>\n",
       "      <td>48</td>\n",
       "      <td>85.71%</td>\n",
       "      <td>43</td>\n",
       "      <td>76.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2435</td>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>50</td>\n",
       "      <td>49</td>\n",
       "      <td>98.00%</td>\n",
       "      <td>48</td>\n",
       "      <td>96.00%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Corp Id                         Corporation Name  Cohort N  Grad N  \\\n",
       "0       15          Adams Central Community Schools        99      98   \n",
       "1     5265  Alexandria Community School Corporation        94      90   \n",
       "2     5275    Anderson Community School Corporation       457     367   \n",
       "3     5470                  Argos Community Schools        56      48   \n",
       "4     2435   Attica Consolidated School Corporation        50      49   \n",
       "\n",
       "  State Grad Rate  Non-Waiver Grad N State Non-Waiver Grad Rate  \n",
       "0          98.99%                 95                     95.96%  \n",
       "1          95.74%                 73                     77.66%  \n",
       "2          80.31%                327                     71.55%  \n",
       "3          85.71%                 43                     76.79%  \n",
       "4          98.00%                 48                     96.00%  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename Coporation Name column. Print 2019 grad rates\n",
    "grad_rates2019 = grad_rates2019.rename(columns={'CORPORATION NAME' : 'Corporation Name'})\n",
    "grad_rates2019.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop unnecessary columns\n",
    "columns_to_drop = ['Corp Id',\n",
    "                  'Cohort N',\n",
    "                  'Grad N',\n",
    "                  'Non-Waiver Grad N']\n",
    "grad_rates2015.drop(columns_to_drop, axis=1, inplace=True)\n",
    "grad_rates2016.drop(columns_to_drop, axis=1, inplace=True)\n",
    "grad_rates2017.drop(columns_to_drop, axis=1, inplace=True)\n",
    "grad_rates2018.drop(columns_to_drop, axis=1, inplace=True)\n",
    "grad_rates2019.drop(columns_to_drop, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Corporation Name</th>\n",
       "      <th>2015 State Grad Rate</th>\n",
       "      <th>2015 State Non-Waiver Rate</th>\n",
       "      <th>2016 State Grad Rate</th>\n",
       "      <th>2016 State Non-Waiver Rate</th>\n",
       "      <th>2017 State Grad Rate</th>\n",
       "      <th>2017 State Non-Waiver Rate</th>\n",
       "      <th>2018 State Grad Rate</th>\n",
       "      <th>2018 State Non-Waiver Rate</th>\n",
       "      <th>2019 State Grad Rate</th>\n",
       "      <th>2019 State Non-Waiver Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>94.70%</td>\n",
       "      <td>91.60%</td>\n",
       "      <td>98.90%</td>\n",
       "      <td>97.70%</td>\n",
       "      <td>97.89%</td>\n",
       "      <td>95.79%</td>\n",
       "      <td>98.99%</td>\n",
       "      <td>95.96%</td>\n",
       "      <td>98.99%</td>\n",
       "      <td>95.96%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>87.50%</td>\n",
       "      <td>86.60%</td>\n",
       "      <td>95.70%</td>\n",
       "      <td>92.30%</td>\n",
       "      <td>94.35%</td>\n",
       "      <td>88.71%</td>\n",
       "      <td>95.74%</td>\n",
       "      <td>77.66%</td>\n",
       "      <td>95.74%</td>\n",
       "      <td>77.66%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>89.60%</td>\n",
       "      <td>70.30%</td>\n",
       "      <td>94.80%</td>\n",
       "      <td>77.00%</td>\n",
       "      <td>95.87%</td>\n",
       "      <td>74.42%</td>\n",
       "      <td>80.31%</td>\n",
       "      <td>71.55%</td>\n",
       "      <td>80.31%</td>\n",
       "      <td>71.55%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>73.90%</td>\n",
       "      <td>73.90%</td>\n",
       "      <td>79.20%</td>\n",
       "      <td>77.10%</td>\n",
       "      <td>91.49%</td>\n",
       "      <td>87.23%</td>\n",
       "      <td>85.71%</td>\n",
       "      <td>76.79%</td>\n",
       "      <td>85.71%</td>\n",
       "      <td>76.79%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.50%</td>\n",
       "      <td>94.10%</td>\n",
       "      <td>93.40%</td>\n",
       "      <td>86.90%</td>\n",
       "      <td>90.38%</td>\n",
       "      <td>80.77%</td>\n",
       "      <td>98.00%</td>\n",
       "      <td>96.00%</td>\n",
       "      <td>98.00%</td>\n",
       "      <td>96.00%</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>93.10%</td>\n",
       "      <td>89.70%</td>\n",
       "      <td>96.00%</td>\n",
       "      <td>95.00%</td>\n",
       "      <td>94.57%</td>\n",
       "      <td>93.48%</td>\n",
       "      <td>94.29%</td>\n",
       "      <td>89.52%</td>\n",
       "      <td>94.29%</td>\n",
       "      <td>89.52%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>90.50%</td>\n",
       "      <td>84.10%</td>\n",
       "      <td>90.80%</td>\n",
       "      <td>84.60%</td>\n",
       "      <td>93.48%</td>\n",
       "      <td>89.13%</td>\n",
       "      <td>94.20%</td>\n",
       "      <td>57.97%</td>\n",
       "      <td>94.20%</td>\n",
       "      <td>57.97%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.40%</td>\n",
       "      <td>89.00%</td>\n",
       "      <td>92.40%</td>\n",
       "      <td>86.60%</td>\n",
       "      <td>92.19%</td>\n",
       "      <td>88.28%</td>\n",
       "      <td>88.89%</td>\n",
       "      <td>76.07%</td>\n",
       "      <td>88.89%</td>\n",
       "      <td>76.07%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>95.00%</td>\n",
       "      <td>89.60%</td>\n",
       "      <td>95.10%</td>\n",
       "      <td>91.40%</td>\n",
       "      <td>91.60%</td>\n",
       "      <td>88.00%</td>\n",
       "      <td>86.59%</td>\n",
       "      <td>86.18%</td>\n",
       "      <td>86.59%</td>\n",
       "      <td>86.18%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>98.10%</td>\n",
       "      <td>97.10%</td>\n",
       "      <td>97.80%</td>\n",
       "      <td>97.80%</td>\n",
       "      <td>96.91%</td>\n",
       "      <td>96.03%</td>\n",
       "      <td>96.79%</td>\n",
       "      <td>93.39%</td>\n",
       "      <td>96.79%</td>\n",
       "      <td>93.39%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name 2015 State Grad Rate  \\\n",
       "0            Adams Central Community Schools               94.70%   \n",
       "1    Alexandria Community School Corporation               87.50%   \n",
       "2      Anderson Community School Corporation               89.60%   \n",
       "3                    Argos Community Schools               73.90%   \n",
       "4     Attica Consolidated School Corporation               98.50%   \n",
       "..                                       ...                  ...   \n",
       "263              Westview School Corporation               93.10%   \n",
       "264       White River Valley School District               90.50%   \n",
       "265      Whitko Community School Corporation               92.40%   \n",
       "266      Whitley County Consolidated Schools               95.00%   \n",
       "267             Zionsville Community Schools               98.10%   \n",
       "\n",
       "    2015 State Non-Waiver Rate 2016 State Grad Rate  \\\n",
       "0                       91.60%               98.90%   \n",
       "1                       86.60%               95.70%   \n",
       "2                       70.30%               94.80%   \n",
       "3                       73.90%               79.20%   \n",
       "4                       94.10%               93.40%   \n",
       "..                         ...                  ...   \n",
       "263                     89.70%               96.00%   \n",
       "264                     84.10%               90.80%   \n",
       "265                     89.00%               92.40%   \n",
       "266                     89.60%               95.10%   \n",
       "267                     97.10%               97.80%   \n",
       "\n",
       "    2016 State Non-Waiver Rate 2017 State Grad Rate  \\\n",
       "0                       97.70%               97.89%   \n",
       "1                       92.30%               94.35%   \n",
       "2                       77.00%               95.87%   \n",
       "3                       77.10%               91.49%   \n",
       "4                       86.90%               90.38%   \n",
       "..                         ...                  ...   \n",
       "263                     95.00%               94.57%   \n",
       "264                     84.60%               93.48%   \n",
       "265                     86.60%               92.19%   \n",
       "266                     91.40%               91.60%   \n",
       "267                     97.80%               96.91%   \n",
       "\n",
       "    2017 State Non-Waiver Rate 2018 State Grad Rate  \\\n",
       "0                       95.79%               98.99%   \n",
       "1                       88.71%               95.74%   \n",
       "2                       74.42%               80.31%   \n",
       "3                       87.23%               85.71%   \n",
       "4                       80.77%               98.00%   \n",
       "..                         ...                  ...   \n",
       "263                     93.48%               94.29%   \n",
       "264                     89.13%               94.20%   \n",
       "265                     88.28%               88.89%   \n",
       "266                     88.00%               86.59%   \n",
       "267                     96.03%               96.79%   \n",
       "\n",
       "    2018 State Non-Waiver Rate 2019 State Grad Rate 2019 State Non-Waiver Rate  \n",
       "0                       95.96%               98.99%                     95.96%  \n",
       "1                       77.66%               95.74%                     77.66%  \n",
       "2                       71.55%               80.31%                     71.55%  \n",
       "3                       76.79%               85.71%                     76.79%  \n",
       "4                       96.00%               98.00%                     96.00%  \n",
       "..                         ...                  ...                        ...  \n",
       "263                     89.52%               94.29%                     89.52%  \n",
       "264                     57.97%               94.20%                     57.97%  \n",
       "265                     76.07%               88.89%                     76.07%  \n",
       "266                     86.18%               86.59%                     86.18%  \n",
       "267                     93.39%               96.79%                     93.39%  \n",
       "\n",
       "[268 rows x 11 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Combine grad rates 2015 and 2016\n",
    "combined_grad_rate = pd.merge(grad_rates2015, grad_rates2016, how = 'outer', on = 'Corporation Name')\n",
    "\n",
    "# Rename columns\n",
    "combined_grad_rate = combined_grad_rate.rename(columns={\n",
    "    'State Grad Rate_x' : '2015 State Grad Rate',\n",
    "    'State Non-Waiver Grad Rate_x' : '2015 State Non-Waiver Rate',\n",
    "    'State Grad Rate_y' : '2016 State Grad Rate',\n",
    "    'State Non-Waiver Grad Rate_y' : '2016 State Non-Waiver Rate'})\n",
    "\n",
    "# Combine 2017 grad rates\n",
    "combined_grad_rate = pd.merge(combined_grad_rate, grad_rates2017, how = 'outer', on = 'Corporation Name')\n",
    "\n",
    "# Rename columns\n",
    "combined_grad_rate = combined_grad_rate.rename(columns={\n",
    "    'State Grad Rate' : '2017 State Grad Rate',\n",
    "    'State Non-Waiver Grad Rate' : '2017 State Non-Waiver Rate'})\n",
    "\n",
    "# Combine 2018 grad rates\n",
    "combined_grad_rate = pd.merge(combined_grad_rate, grad_rates2018, how = 'outer', on = 'Corporation Name')\n",
    "\n",
    "# Rename columns\n",
    "combined_grad_rate = combined_grad_rate.rename(columns={\n",
    "    'State Grad Rate' : '2018 State Grad Rate',\n",
    "    'State Non-Waiver Grad Rate' : '2018 State Non-Waiver Rate'})\n",
    "\n",
    "# Combine 2019 grate rates\n",
    "combined_grad_rate = pd.merge(combined_grad_rate, grad_rates2019, how = 'outer', on = 'Corporation Name')\n",
    "\n",
    "# Rename columns\n",
    "combined_grad_rate = combined_grad_rate.rename(columns={\n",
    "    'State Grad Rate' : '2019 State Grad Rate',\n",
    "    'State Non-Waiver Grad Rate' : '2019 State Non-Waiver Rate'})\n",
    "\n",
    "# Print data frame\n",
    "combined_grad_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>Corporation Name</th>\n",
       "      <th>2015 State Grad Rate</th>\n",
       "      <th>2015 State Non-Waiver Rate</th>\n",
       "      <th>2016 State Grad Rate</th>\n",
       "      <th>2016 State Non-Waiver Rate</th>\n",
       "      <th>2017 State Grad Rate</th>\n",
       "      <th>2017 State Non-Waiver Rate</th>\n",
       "      <th>2018 State Grad Rate</th>\n",
       "      <th>2018 State Non-Waiver Rate</th>\n",
       "      <th>2019 State Grad Rate</th>\n",
       "      <th>2019 State Non-Waiver Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>94.7</td>\n",
       "      <td>91.6</td>\n",
       "      <td>98.9</td>\n",
       "      <td>97.7</td>\n",
       "      <td>97.89</td>\n",
       "      <td>95.79</td>\n",
       "      <td>98.99</td>\n",
       "      <td>95.96</td>\n",
       "      <td>98.99</td>\n",
       "      <td>95.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>87.5</td>\n",
       "      <td>86.6</td>\n",
       "      <td>95.7</td>\n",
       "      <td>92.3</td>\n",
       "      <td>94.35</td>\n",
       "      <td>88.71</td>\n",
       "      <td>95.74</td>\n",
       "      <td>77.66</td>\n",
       "      <td>95.74</td>\n",
       "      <td>77.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>89.6</td>\n",
       "      <td>70.3</td>\n",
       "      <td>94.8</td>\n",
       "      <td>77.0</td>\n",
       "      <td>95.87</td>\n",
       "      <td>74.42</td>\n",
       "      <td>80.31</td>\n",
       "      <td>71.55</td>\n",
       "      <td>80.31</td>\n",
       "      <td>71.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>73.9</td>\n",
       "      <td>73.9</td>\n",
       "      <td>79.2</td>\n",
       "      <td>77.1</td>\n",
       "      <td>91.49</td>\n",
       "      <td>87.23</td>\n",
       "      <td>85.71</td>\n",
       "      <td>76.79</td>\n",
       "      <td>85.71</td>\n",
       "      <td>76.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.5</td>\n",
       "      <td>94.1</td>\n",
       "      <td>93.4</td>\n",
       "      <td>86.9</td>\n",
       "      <td>90.38</td>\n",
       "      <td>80.77</td>\n",
       "      <td>98.00</td>\n",
       "      <td>96.00</td>\n",
       "      <td>98.00</td>\n",
       "      <td>96.00</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>93.1</td>\n",
       "      <td>89.7</td>\n",
       "      <td>96.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>94.57</td>\n",
       "      <td>93.48</td>\n",
       "      <td>94.29</td>\n",
       "      <td>89.52</td>\n",
       "      <td>94.29</td>\n",
       "      <td>89.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>90.5</td>\n",
       "      <td>84.1</td>\n",
       "      <td>90.8</td>\n",
       "      <td>84.6</td>\n",
       "      <td>93.48</td>\n",
       "      <td>89.13</td>\n",
       "      <td>94.20</td>\n",
       "      <td>57.97</td>\n",
       "      <td>94.20</td>\n",
       "      <td>57.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.4</td>\n",
       "      <td>89.0</td>\n",
       "      <td>92.4</td>\n",
       "      <td>86.6</td>\n",
       "      <td>92.19</td>\n",
       "      <td>88.28</td>\n",
       "      <td>88.89</td>\n",
       "      <td>76.07</td>\n",
       "      <td>88.89</td>\n",
       "      <td>76.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>95.0</td>\n",
       "      <td>89.6</td>\n",
       "      <td>95.1</td>\n",
       "      <td>91.4</td>\n",
       "      <td>91.60</td>\n",
       "      <td>88.00</td>\n",
       "      <td>86.59</td>\n",
       "      <td>86.18</td>\n",
       "      <td>86.59</td>\n",
       "      <td>86.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>98.1</td>\n",
       "      <td>97.1</td>\n",
       "      <td>97.8</td>\n",
       "      <td>97.8</td>\n",
       "      <td>96.91</td>\n",
       "      <td>96.03</td>\n",
       "      <td>96.79</td>\n",
       "      <td>93.39</td>\n",
       "      <td>96.79</td>\n",
       "      <td>93.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  2015 State Grad Rate  \\\n",
       "0            Adams Central Community Schools                  94.7   \n",
       "1    Alexandria Community School Corporation                  87.5   \n",
       "2      Anderson Community School Corporation                  89.6   \n",
       "3                    Argos Community Schools                  73.9   \n",
       "4     Attica Consolidated School Corporation                  98.5   \n",
       "..                                       ...                   ...   \n",
       "263              Westview School Corporation                  93.1   \n",
       "264       White River Valley School District                  90.5   \n",
       "265      Whitko Community School Corporation                  92.4   \n",
       "266      Whitley County Consolidated Schools                  95.0   \n",
       "267             Zionsville Community Schools                  98.1   \n",
       "\n",
       "     2015 State Non-Waiver Rate  2016 State Grad Rate  \\\n",
       "0                          91.6                  98.9   \n",
       "1                          86.6                  95.7   \n",
       "2                          70.3                  94.8   \n",
       "3                          73.9                  79.2   \n",
       "4                          94.1                  93.4   \n",
       "..                          ...                   ...   \n",
       "263                        89.7                  96.0   \n",
       "264                        84.1                  90.8   \n",
       "265                        89.0                  92.4   \n",
       "266                        89.6                  95.1   \n",
       "267                        97.1                  97.8   \n",
       "\n",
       "     2016 State Non-Waiver Rate  2017 State Grad Rate  \\\n",
       "0                          97.7                 97.89   \n",
       "1                          92.3                 94.35   \n",
       "2                          77.0                 95.87   \n",
       "3                          77.1                 91.49   \n",
       "4                          86.9                 90.38   \n",
       "..                          ...                   ...   \n",
       "263                        95.0                 94.57   \n",
       "264                        84.6                 93.48   \n",
       "265                        86.6                 92.19   \n",
       "266                        91.4                 91.60   \n",
       "267                        97.8                 96.91   \n",
       "\n",
       "     2017 State Non-Waiver Rate  2018 State Grad Rate  \\\n",
       "0                         95.79                 98.99   \n",
       "1                         88.71                 95.74   \n",
       "2                         74.42                 80.31   \n",
       "3                         87.23                 85.71   \n",
       "4                         80.77                 98.00   \n",
       "..                          ...                   ...   \n",
       "263                       93.48                 94.29   \n",
       "264                       89.13                 94.20   \n",
       "265                       88.28                 88.89   \n",
       "266                       88.00                 86.59   \n",
       "267                       96.03                 96.79   \n",
       "\n",
       "     2018 State Non-Waiver Rate  2019 State Grad Rate  \\\n",
       "0                         95.96                 98.99   \n",
       "1                         77.66                 95.74   \n",
       "2                         71.55                 80.31   \n",
       "3                         76.79                 85.71   \n",
       "4                         96.00                 98.00   \n",
       "..                          ...                   ...   \n",
       "263                       89.52                 94.29   \n",
       "264                       57.97                 94.20   \n",
       "265                       76.07                 88.89   \n",
       "266                       86.18                 86.59   \n",
       "267                       93.39                 96.79   \n",
       "\n",
       "     2019 State Non-Waiver Rate  \n",
       "0                         95.96  \n",
       "1                         77.66  \n",
       "2                         71.55  \n",
       "3                         76.79  \n",
       "4                         96.00  \n",
       "..                          ...  \n",
       "263                       89.52  \n",
       "264                       57.97  \n",
       "265                       76.07  \n",
       "266                       86.18  \n",
       "267                       93.39  \n",
       "\n",
       "[268 rows x 11 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change percents to floats\n",
    "combined_grad_rate['2015 State Non-Waiver Rate'] = combined_grad_rate['2015 State Non-Waiver Rate'].str.replace('%','').astype(np.float64)\n",
    "combined_grad_rate[\"2015 State Grad Rate\"] = combined_grad_rate[\"2015 State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "combined_grad_rate['2016 State Non-Waiver Rate'] = combined_grad_rate['2016 State Non-Waiver Rate'].str.replace('%','').astype(np.float64)\n",
    "combined_grad_rate[\"2016 State Grad Rate\"] = combined_grad_rate[\"2016 State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "combined_grad_rate['2017 State Non-Waiver Rate'] = combined_grad_rate['2017 State Non-Waiver Rate'].str.replace('%','').astype(np.float64)\n",
    "combined_grad_rate[\"2017 State Grad Rate\"] = combined_grad_rate[\"2017 State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "combined_grad_rate['2018 State Non-Waiver Rate'] = combined_grad_rate['2018 State Non-Waiver Rate'].str.replace('%','').astype(np.float64)\n",
    "combined_grad_rate[\"2018 State Grad Rate\"] = combined_grad_rate[\"2018 State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "combined_grad_rate['2019 State Non-Waiver Rate'] = combined_grad_rate['2019 State Non-Waiver Rate'].str.replace('%','').astype(np.float64)\n",
    "combined_grad_rate[\"2019 State Grad Rate\"] = combined_grad_rate[\"2019 State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# print dataframe\n",
    "combined_grad_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "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>Year</th>\n",
       "      <th>State Grad Rate Average</th>\n",
       "      <th>State Non-Waiver Grad Rate Average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015</td>\n",
       "      <td>91.92</td>\n",
       "      <td>86.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016</td>\n",
       "      <td>92.67</td>\n",
       "      <td>86.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017</td>\n",
       "      <td>91.96</td>\n",
       "      <td>85.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>91.31</td>\n",
       "      <td>81.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019</td>\n",
       "      <td>91.31</td>\n",
       "      <td>81.33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  State Grad Rate Average  State Non-Waiver Grad Rate Average\n",
       "0  2015                    91.92                               86.14\n",
       "1  2016                    92.67                               86.18\n",
       "2  2017                    91.96                               85.23\n",
       "3  2018                    91.31                               81.33\n",
       "4  2019                    91.31                               81.33"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Find mean of all schools grad rates and non waiver grad rates for 2015\n",
    "avg_grad_rate15 = round(combined_grad_rate['2015 State Grad Rate'].mean(),2)\n",
    "avg_nonwave_grad_rate15 = round(combined_grad_rate['2015 State Non-Waiver Rate'].mean(),2)\n",
    "\n",
    "# Find mean of all schools grad rates and non waiver grad rates for 2016\n",
    "avg_grad_rate16 = round(combined_grad_rate['2016 State Grad Rate'].mean(),2)\n",
    "avg_nonwave_grad_rate16 = round(combined_grad_rate['2016 State Non-Waiver Rate'].mean(),2)\n",
    "\n",
    "# Find mean of all schools grad rates and non waiver grad rates for 2017\n",
    "avg_grad_rate17 = round(combined_grad_rate['2017 State Grad Rate'].mean(),2)\n",
    "avg_nonwave_grad_rate17 = round(combined_grad_rate['2017 State Non-Waiver Rate'].mean(),2)\n",
    "\n",
    "# Find mean of all schools grad rates and non waiver grad rates for 2018\n",
    "avg_grad_rate18 = round(combined_grad_rate['2018 State Grad Rate'].mean(),2)\n",
    "avg_nonwave_grad_rate18 = round(combined_grad_rate['2018 State Non-Waiver Rate'].mean(),2)\n",
    "\n",
    "# Find mean of all schools grad rates and non waiver grad rates for 2019\n",
    "avg_grad_rate19 = round(combined_grad_rate['2019 State Grad Rate'].mean(),2)\n",
    "avg_nonwave_grad_rate19 = round(combined_grad_rate['2019 State Non-Waiver Rate'].mean(),2)\n",
    "\n",
    "# List years\n",
    "year = [2015, 2016, 2017, 2018, 2019]\n",
    "\n",
    "# List grad rates\n",
    "state_avg_gradrate = [avg_grad_rate15, avg_grad_rate16, avg_grad_rate17, avg_grad_rate18, avg_grad_rate19]\n",
    "\n",
    "# List non-waiver grad rates\n",
    "state_avg_nonwave = [avg_nonwave_grad_rate15, avg_nonwave_grad_rate16, avg_nonwave_grad_rate17, avg_nonwave_grad_rate18, avg_nonwave_grad_rate19]\n",
    "\n",
    "# Create Dataframe\n",
    "state_grad_averages = pd.DataFrame ({'Year':  year, \n",
    "                                     'State Grad Rate Average' : state_avg_gradrate,\n",
    "                                    'State Non-Waiver Grad Rate Average' : state_avg_nonwave})\n",
    "\n",
    "# Print Dataframe\n",
    "state_grad_averages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = state_grad_averages['State Non-Waiver Grad Rate Average']\n",
    "bars2 = state_grad_averages['State Grad Rate Average']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = state_grad_averages['Year']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), names, rotation = 35, fontsize=8, ha = 'right')\n",
    "plt.xlabel('Year')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('Indiana State Graduation Rates vs. Non-Waiver Graduation Rates Yearly Averages')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/Indiana_State_Graduation_Rates_vs._Non-Waiver_Graduation_Rates_Yearly_Averages.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>94.70%</td>\n",
       "      <td>91.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>87.50%</td>\n",
       "      <td>86.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>89.60%</td>\n",
       "      <td>70.30%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>73.90%</td>\n",
       "      <td>73.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.50%</td>\n",
       "      <td>94.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>93.10%</td>\n",
       "      <td>89.70%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>90.50%</td>\n",
       "      <td>84.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.40%</td>\n",
       "      <td>89.00%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>95.00%</td>\n",
       "      <td>89.60%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>98.10%</td>\n",
       "      <td>97.10%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name State Grad Rate  \\\n",
       "0            Adams Central Community Schools          94.70%   \n",
       "1    Alexandria Community School Corporation          87.50%   \n",
       "2      Anderson Community School Corporation          89.60%   \n",
       "3                    Argos Community Schools          73.90%   \n",
       "4     Attica Consolidated School Corporation          98.50%   \n",
       "..                                       ...             ...   \n",
       "263              Westview School Corporation          93.10%   \n",
       "264       White River Valley School District          90.50%   \n",
       "265      Whitko Community School Corporation          92.40%   \n",
       "266      Whitley County Consolidated Schools          95.00%   \n",
       "267             Zionsville Community Schools          98.10%   \n",
       "\n",
       "    State Non-Waiver Grad Rate  \n",
       "0                       91.60%  \n",
       "1                       86.60%  \n",
       "2                       70.30%  \n",
       "3                       73.90%  \n",
       "4                       94.10%  \n",
       "..                         ...  \n",
       "263                     89.70%  \n",
       "264                     84.10%  \n",
       "265                     89.00%  \n",
       "266                     89.60%  \n",
       "267                     97.10%  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grad_rates2015 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <th></th>\n",
       "      <th>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>94.7</td>\n",
       "      <td>91.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>87.5</td>\n",
       "      <td>86.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>89.6</td>\n",
       "      <td>70.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>73.9</td>\n",
       "      <td>73.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.5</td>\n",
       "      <td>94.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>93.1</td>\n",
       "      <td>89.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>90.5</td>\n",
       "      <td>84.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.4</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>95.0</td>\n",
       "      <td>89.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>98.1</td>\n",
       "      <td>97.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  State Grad Rate  \\\n",
       "0            Adams Central Community Schools             94.7   \n",
       "1    Alexandria Community School Corporation             87.5   \n",
       "2      Anderson Community School Corporation             89.6   \n",
       "3                    Argos Community Schools             73.9   \n",
       "4     Attica Consolidated School Corporation             98.5   \n",
       "..                                       ...              ...   \n",
       "263              Westview School Corporation             93.1   \n",
       "264       White River Valley School District             90.5   \n",
       "265      Whitko Community School Corporation             92.4   \n",
       "266      Whitley County Consolidated Schools             95.0   \n",
       "267             Zionsville Community Schools             98.1   \n",
       "\n",
       "     State Non-Waiver Grad Rate  \n",
       "0                          91.6  \n",
       "1                          86.6  \n",
       "2                          70.3  \n",
       "3                          73.9  \n",
       "4                          94.1  \n",
       "..                          ...  \n",
       "263                        89.7  \n",
       "264                        84.1  \n",
       "265                        89.0  \n",
       "266                        89.6  \n",
       "267                        97.1  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change percents to floats\n",
    "grad_rates2015['State Non-Waiver Grad Rate'] = grad_rates2015['State Non-Waiver Grad Rate'].str.replace('%','').astype(np.float64)\n",
    "grad_rates2015[\"State Grad Rate\"] = grad_rates2015[\"State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# Print dataframe\n",
    "grad_rates2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Corporation Name               object\n",
       "State Grad Rate               float64\n",
       "State Non-Waiver Grad Rate    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grad_rates2015.dtypes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sample size\n",
    "grad_rates2015 = grad_rates2015.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = grad_rates2015['State Non-Waiver Grad Rate']\n",
    "bars2 = grad_rates2015['State Grad Rate']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = grad_rates2015['Corporation Name']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), [textwrap.fill(name, 10) for name in names], \n",
    "           rotation = 10, fontsize=8, horizontalalignment=\"center\")\n",
    "plt.xlabel('School Corporations')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('2015 Graduation Rates vs. Non-Waiver Graduation Rates')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/2015_Grad_vs_Non-Waiver_Grad_Rates.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>98.9</td>\n",
       "      <td>97.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>95.7</td>\n",
       "      <td>92.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>94.8</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>79.2</td>\n",
       "      <td>77.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>93.4</td>\n",
       "      <td>86.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>96.0</td>\n",
       "      <td>95.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>90.8</td>\n",
       "      <td>84.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.4</td>\n",
       "      <td>86.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>95.1</td>\n",
       "      <td>91.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>97.8</td>\n",
       "      <td>97.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  State Grad Rate  \\\n",
       "0            Adams Central Community Schools             98.9   \n",
       "1    Alexandria Community School Corporation             95.7   \n",
       "2      Anderson Community School Corporation             94.8   \n",
       "3                    Argos Community Schools             79.2   \n",
       "4     Attica Consolidated School Corporation             93.4   \n",
       "..                                       ...              ...   \n",
       "263              Westview School Corporation             96.0   \n",
       "264       White River Valley School District             90.8   \n",
       "265      Whitko Community School Corporation             92.4   \n",
       "266      Whitley County Consolidated Schools             95.1   \n",
       "267             Zionsville Community Schools             97.8   \n",
       "\n",
       "     State Non-Waiver Grad Rate  \n",
       "0                          97.7  \n",
       "1                          92.3  \n",
       "2                          77.0  \n",
       "3                          77.1  \n",
       "4                          86.9  \n",
       "..                          ...  \n",
       "263                        95.0  \n",
       "264                        84.6  \n",
       "265                        86.6  \n",
       "266                        91.4  \n",
       "267                        97.8  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change percents to floats\n",
    "grad_rates2016['State Non-Waiver Grad Rate'] = grad_rates2016['State Non-Waiver Grad Rate'].str.replace('%','').astype(np.float64)\n",
    "grad_rates2016[\"State Grad Rate\"] = grad_rates2016[\"State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# Print Dataframe\n",
    "grad_rates2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sample size\n",
    "grad_rates2016 = grad_rates2016.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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BWwMy8Y+/vhjk1H1ToXzMIII90peAYJgGniCc96eHMzsn3/++bn7zGJhpxEgfpMRfgIk7/vFOho5EmNciz7HHjGcNIgSCx8/AQJRgaVY8GuRxTtSGIIHWRD4LtggfDuW/LEQgUxBgAIkU3qa75nWCCAYwBIRzJbjB0FM3oLgEct2kEXwsiIY0DDbqd2EjvXoyFhg8yYCFxTsMcBsOpYN+BUsNYBoQeAd+UwaAYJnxcy0t3wE+zsQ4HoCBMuZkD3AsiQUzCJiCRY2l3oZEMzIY5kNgkcUrMXGHhFPDGCmGSLEWyYG/LCkyBMgEHMIeCMzFZolWN6SEM06+Ej8/IIj9AGWZeH9sTQrFj5Yn48ACH3mFczgY1kJZob9NiVHPgeEBQQIRIV3ClVkHQTkyD5giRMCeMyI+xVNW3mviwwAMduP5TPIEmBW3zteOL8lWFjiAtHiF6znFSD5GT8CYwTNWB6D7By4BVvDIQjgDIQJxAtKrL7w609kJiF8IIiR4fFOrcPvEKDi+fPbo6IRIHgu8AXiC3shvJl/731jCRAsD8Rz4NADBPgo4A4CZ0+AoD9gb8ikoGB5JQSptwQLWRtwFcLFW7aEfRrYI+KJgVjY+fFYuwQLtoz9Kn6C31aA4P0gPmBDyGxiWWssfHCMNPDPu/8OSzbxu/yWfkXyEcvKwFdkb1iIQKYgQAGSKT3N90xrBDAjjsAaAWreU5W8M/IxC41ZWgSJeY/hxQybdwwvlmhhthKDIgIj/BfBPWbkECAgAMfMJmYzEdBjaQpEDE5Tym+DKwZMBB0IZLxjeBGgIhBFAILNq8is5JcBQSYC98f6cgTMmNHEEhxPgEAkYCYVQQGWKGCGEMFK3k3oWO6A+gg2EDCgDQRUngBBBge/x94CYDB06FAzA+0JEO/ZIOJwEhNOAsLypbwCBEuXvE2lyFBgORcEDYIuLKUISoBA0OA+AwYMMO8RCx8EXcAHezwQPGN5FTJY6Ef8QJxghhwboCG00K9YcoL3QeCGJUDAFsuUsJwnv8MGMEONwBTBJ/Zd4J4osdoC9zBznt+Rpn5BdteuXQ3PISw9AYLgF0IYggD8xNK1yE3oh8uA5Gf8noDGLH9eEQdR4GHrLWuM1Rd+wS6eCfyDgEKGApkFr8A+MPONpXywW+CPwyWwXwPLtbQCBMIRAhK8xTXISsKW0d+4BzJhEOd+AToEPXzIlVdeaeoiI4P/IlPjCRBgDh/gbUKHOMGsvbcJHe+DE9/QDpbqIRPiZSY8ARILOz8e4xn8NqGDB+AfJi78NqEXJAOCd8G3XLD8E/2JbGssfFAP/hG+AMIV2Ss8O+wPXAb3MREAgQtsYJPwYcAX/eYdogAb9U6/S+vBig9PBJQIUIAogWI1IpBMBPJbn5/3OwaYAY38ECGyJl7xOzISf/MCcfw/2sMSHgymmA3H7CrWhx/uQ2De2mkEprgeG5sRQCGoQVsI5vMTIAh4MNOMZ0fghJlDDNp53wsBGtZkI7DG8yDLk/cYXogqCCWIHiyfgABD0OcJEGRv8HfMriOgQQCDDcp53xv3RZANoRLrGF48K0QghBXaRQlKgKAtzB5jkyrW8WMW9nD4QLBg5hTiCdku750gMCC0sBQGARlEHjJLCBqxTAlLdtA2AlWsrYcwQTCUX8HeAAgCCBwIU2/zeqy2IIrwfH5H/OJefkE29iSAC9hz4wmQyGN4sXcHy/4ij+HNbwlWfu/lZb/A1bwbzTGjDsEAriD4RonFVT8BggAfwSx4BdzyHi+NvoPwxhItBKzAF5k4ZBS9vSeRoiq/94BNeB8ixH4LZELQr+AnfrBMMb8lgZikGDhwoNnjAgEOgQ2/4QkQ78hY4I1+B68gPPN+CR1cgm2i75Axwf/jvp4YiIWdH48PdwwvbB6n0vkdw1tQAQKMgQdEPSZpYuEDwYK9PuAS/t/zXTgyGfuxwEngD98EMQI7RFYaJ7tBdMC3Yjke/BzeiYUIZAoCFCCZ0tN8TyJABIgAESACRIAIEAEikAIIUICkQCfwEYgAESACRIAIEAEiQASIQKYgQAGSKT3N9yQCRIAIEAEiQASIABEgAimAAAVICnQCH4EIEAEiQASIABEgAkSACGQKAhQgmdLTfE8iQASIABEgAkSACBABIpACCFCApEAn8BGIABEgAkSACBABIkAEiECmIJARAgTHgOIs73Qo+OI0npflUASISzQjiAkx0fgJ8sQfJeJC+6H9aBAgT7QoZbpPwXHgwEBbMkKA4GuwOOM8HQo+8IRvFLAcigBxiWYEMSEmGj9BnvijRFxoP7QfDQLkiRalTPcptrE2BYiWWQmql+kEzg9m4sJBQGOC5Al5ouEJ6pAr5IqGK+QJeaLhCX2KCAWID1NsQdGSLYx6dHacrdTyilzhwKjhCnlCn6LhCQMo8oQ80SJArvghYBtrMwNSML4FfjWDBRq2llTkCgWIhivkCX2KhicUIOQJeaJFgFyhAFFyxVaVKZsNpRqDBRq2lljkCgWIhivkCX2KhicUIOQJeaJFgFxJWwEycOBAef3112XdunWydOlSqVevnnmXzZs3S8+ePWXVqlXmJKiJEydKq1atzN927twp/fr1k3nz5knhwoXl/vvvl86dO6vYQgGigimlKzGIYrCtISh5Qp5oeMJgmwEUeaJFgD5Fi1Smjz+2sXZSlmB9/PHHUrNmTSMu3njjjVwB0rdvX6levbqMHDnSCI2uXbsaMZKVlSWjRo2S1atXy7PPPitr1qyRFi1ayIoVK6R8+fIxuWELSswGQ6yQ6QTOD1riwkFAY3bkCXmi4QkFCAUIeaJFgD5Fi1Smjz+2sXZSBIjXmTVq1DhEgJQuXdqIC++bHU2bNpXs7Gxp27at1K1b14iPM844w1zevXt3ufjii6V3794xuWELSswGQ6yQ6QSmANGTi1zhwKhhC3nCYFvDE4oy8oQ80SJArvghYBtrp4wA2bJli1SrVs0stfIKREb79u3NsqwyZcqYbMjRRx9t/jxs2DCBYLnzzjtjMsYWlJgNhliBwQINW0svcoUCRMMV8oQ+RcMTChDyhDzRIkCuOCdAsPxqx44due/VrVs36dChQ64AwRIsLztyyy23GFHiJ0DGjRsn+PHKtm3bZOrUqQVjVoKu3r17t5QoUSJBd0uf2xCX6L4iJsREY8HkiT9KxIX2Q/vRIECeaFHKdJ+Cfdo2H/1OmQwIOrhUqVKydu1aLsHil9Cj7J2zuJzt1wwC5Al5ouEJZ/s5g0ueaBGgT9Eilenjj+1qo5QSINjPgX0h3ib0Ll26mI3n2ISO30GceJvQmzdvbjahH3XUUTG5YQtKzAZDrJDpBM4PWuLCQUBjduQJeaLhCQUIBQh5okWAPkWLVKaPP7axdlIEyIABA+S1116TH3/8USpWrGj2cqxcuVI2bdokPXr0MBvRixUrJhMmTJA2bdqYvsfSLJyS9dVXX5ljeO+77z5zSpam2IKiaTOsOplOYAoQPbPIFQ6MGraQJwy2NTyhKCNPyBMtAuSKHwK2sXZSBEjButj+altQ7O8Q3BUMFmjYWjaRKxQgGq6QJ/QpGp5QgJAn5IkWAXKFAkTJFQoQJVApXI1BFINtDT3JE/JEwxMG2wygyBMtAvQpWqQyffyxjbWZAdEyK0H1Mp3A+cFMXDgIaEyQPCFPNDyhAKEAIU+0CNCnaJHK9PGHAsSHKbagaMkWRr1MJzAFiJ5V5AoHRg1byBMG2xqeUJSRJ+SJFgFyxQ8B21ibGZCC8S3wqxks0LC1pCJXKEA0XCFP6FM0PKEAIU/IEy0C5AoFiJIrtqpM2Wwo1Rgs0LC1xCJXKEA0XCFP6FM0PKEAIU/IEy0C5AoFiJIrFCBKoFK4GoMoBtsaepIn5ImGJwy2GUCRJ1oE6FO0SGX6+GMba3MJlpZZCaqX6QTOD2biwkFAY4LkCXmi4QkFCAUIeaJFgD5Fi1Smjz8UID5MsQVFS7Yw6mU6gSlA9KwiVzgwathCnjDY1vCEoow8IU+0CJArfgjYxtrMgBSMb4FfzWCBhq0lFblCAaLhCnlCn6LhCQUIeUKeaBEgVyhAlFyxVWXKZkOpxmCBhq0lFrlCAaLhCnlCn6LhCQUIeUKeaBEgVyhAlFyhAFEClcLVGEQx2NbQkzwhTzQ8YbDNAIo80SJAn6JFKtPHH9tYm0uwtMxKUL1MJ3B+MBMXDgIaEyRPyBMNTyhAKEDIEy0C9ClapDJ9/KEA8WGKLShasoVRL9MJTAGiZxW5woFRwxbyhMG2hicUZeQJeaJFgFzxQ8A21mYGpGB8C/xqBgs0bC2pyBUKEA1XyBP6FA1PKEDIE/JEiwC5QgGi5IqtKlM2G0o1Bgs0bC2xyBUKEA1XyBP6FA1PKEDIE/JEiwC54qQAefvtt2XEiBGyd+9eKVmypEyaNEkaNGggbdu2lfXr10vZsmXNe/fq1UsGDx6sYgsFiAqmlK7EIIrBtoag5Al5ouGJTbC998B+KVa4iLZZVb0w2lTdOEYl2g/tR8Mj8oQCxDkBsnXrVjn55JPlk08+kdq1a8tHH30kAwYMkGXLlhkBMnToUGnfvr3GPg6pQwFiDVnKXUCHx4FRQ0rypGA8CSMwDqNNDRdi1bHhSov33pDfc/bFalL199JZRWXuefbjmKrxAlaywaSAt0qby7WYhMHzMNoMAngtJkHcK53ayHRcbGPtlNoDMn/+fOnZs6csX748l3NlypQxQmTIkCEUIOlkiQE/a6Ybth+cxKRgwXbAFE3Z5mx5wmA7uivrvzVdfs/JCaSPS2dlydKLOgXSVtCN2HIl6PunYns2mNB2UrEHE/dMNlxJ3FMl7k5pLUC2b98uJ510ksyYMUOaN28u06dPl86dO8vUqVPl0UcflU2bNklWVpbUqVNHxowZIzVr1lQhawuKqtGQKmU6gfODlbgw2NaYHHlScJ4w2KYAiWVrYczMh9FmrPfQ/N3Gp9B2NIi6W8eGKy6iYBtrp1QGBB3y8ccfy5133im//fabtGrVSmbNmiX333+/NGzYUKpVqyYHDx6UJ554QiZMmHBIpiRvZ44bN07w45Vt27YZEZMOZffu3VKiRAnVoxYuXFgKFSqkqqutBHwPHDigrZ6weja4JOyhknwjYhLdAcQkfkyKFCki7dq1kzCCKPjx/fv3J9liDr29hivEJLrLPEzCmO0nT/7A28uUpSsmKWXsCXoYjU9J0KMk5Tb9+vWTDRs2qO+dcgIk75Pv2bNHjjnmGJk3b57JjOQtCNJ/+OEHqVChQsyXtVVlMRsMsYKNgg5jxiiMNoOAywaXIO6XDm0Qk+heIiYFxyQMAZKK9mTDFWIS3YPEhJikol0n85lsfEoynzOse9vG2iknQDZu3ChVqlQx+OA0rBUrVshLL70kW7ZskcqVK5vfI5uBPSHr1q1T4WgLiqrRkCrZEjiMWaiQXq1AzdriUqCbpcnFxKTgwXaadHWBHtOWJwwsGVhqCEeekCcanmRSHVtf6xo2trF2ygmQa6+9VubMmSM5OTnSokULeeyxx6Ro0aLSpk0bQUYEy44qVqxolljheF5NsQVF02ZYdWwJzEHg0J4II4MTRptB8MeWK0HcM9XbICYFF2X0KQwsNXZOnpAnGp5kUp1MH39sY+2UEyBhkNUWlDCeQdumLYE5CEQjy6yQlm3u1bO1H/cQoADR9qkNV+hnGWxreEWeaFByt46NT3ERBdtYmwIkxVhgS2A6PA6MKUbhpD6Orf0k9WETdHNbTOhT6FM01CRPyBMNTzKpjq2vdQ0bChCfHrUFJZmksCUwBwEOAsnka6rd29Z+Uu35w3geW0zoU+hTNDwkT8gTDU8yqY6tr3UNG9tYmxmQFGOALYE5CHAQSDEKJ/VxbO0nqQ+boJvbYkKfQp+ioSZ5Qp5oeJJJdWx9rWvYUIAwAxI3p135Qi8HxrgpkPYXZvoA4NeBtpjQfhhYahwBeUKeaHiSSXVsfa1r2FCAUIDEzWkKkGjoXMEkblKk2YWZPgBQgOgJa/ICqlIAACAASURBVMMVBtsMtjXMIk80KLlbx8anuIgCBQgFSNy8diXY5iAQNwXS/sJMHwAoQPQUtuEKfQoFiIZZ5Ek0SmEcYx9Gm5r+jVXHxqfEaisd/04BQgESN28pQJgBiZs8KXJhpg8AFCB6ItpwhYElBYiGWeSJP0o8Gl/DnvSvQwFCARI3iylAKEDiJk+KXGgTVKbII4f+GLaYMIhisK0hJXlCnmh4gjrkihap9K5HAUIBEjeDKUAoQOImT4pcaBtsp8hjh/oYtpgwWGBgqSEkeUKeaHhCAaJFKf3rUYBQgMTNYgoQCpC4yZMiF9oG2yny2KE+hi0mDCwZWGoISZ6QJxqeUIBoUUr/ehQgFCBxs5gChAIkbvKkyIW2wXaKPHaoj2GLCQNLBpYaQpIn5ImGJxQgWpTSvx4FCAVI3CymAKEAiZs8KXKhbbCdIo8d6mPYYsLAMnMDy1mzZkm7du1UfCRPMpcn9Cn+JmKLi8rQ0qgSBQgFSNx0pQChAImbPClyYaYPAH7dYIsJA0u3AssDOTlSOCsrcAslT9ziiQ1B6FMoQPwQoAChALHxI4fUpQChAImbPClyoe3AmCKPHepj2GLCwNK9wHLpwIGyf9euQHhWtHx5qZudzZONfNCk7fhTjLgEYnop30jaC5C3335bRowYIXv37pWSJUvKpEmTpEGDBrJ582bp2bOnrFq1SooXLy4TJ06UVq1aqTrEFhRVoyFVYrDgDyyXBkTjouVKGB9tCqPNIExKi0kQ90qXNmwxyZRgIZN8yqLrrpMDu3cHQtmscuXktMceowChAFHzKVN8iq2vVQOYJhVtY+1CBw8ePJgq77Z161Y5+eST5ZNPPpHatWvLRx99JAMGDJBly5ZJ3759pXr16jJy5EiZN2+edO3a1YiRLEVq2RaUZOJhS+B0NmwuDSgY02y4wg9BFQzrdL7ahid4T/oU9zIgFCDxW7CN/aSz7dggZINJuvuUMHGxaTsd6trG2iklQObPn2+yHMuXL8/FukyZMkaItG7dWtasWSOVKlUyf2vatKlkZ2dL27ZtY/aLLSgxGwyxQqYZNpcGxE8mG65wYIwf53S/0oYnLgQL9CnRjKUAid+KbeyHftYfZ+ISP//S6UrbWDulBMj27dvlpJNOkhkzZkjz5s1l+vTp0rlzZ3nllVekR48esnPnzty+6N69u7Rv394IlljFFpRY7YX5dxtn50KwwIExfjbZcIUDQPw4p/uVNjyhTzm0t11ZbkQ/G78VZ9JSPS1KmeZTwsJF22661LONtVNKgADkjz/+WO6880757bffzB4PGP+wYcPkxhtvlB07duT2Q7du3aRDhw6+AmTcuHGCH69s27ZNpk6dmhZ9uHv3bilRokTMZy1SpIg5LjGMwBKY79+/P+YzFKSC9/zpMjAmAhNbPDVcSXeehIGJbZvpXl/DE7xjunOFPiWaqcTE33oLFy4srVu2lOIlSwZq3uk6HtuCkCk+JSxcbNtNl/r9+vWTDRs2qB835QRI3iffs2ePHHPMMWbPBzair127lkuwIro2DIenZk8AFdNFgATwqoE3YTMLle480YJng4m2zXSvZ4tJunOFPiWascTE34qDWq7Hk8EO7yXT3adoxwBbX6ttN13qpX0GZOPGjVKlShWDN07DWrFihcle9O7dW2rUqJG7Cb1Lly6yevVqbkJ/a7r8npMTCD+TcQwvB8b4u87G2XEAiB/ndL/Shid413TnCn0KBYjWZoPiiitL9bS4ZZpPCQsXbbvpUi/tBci1114rc+bMkZycHGnRooU89thjUq5cOdm0aZPZB4KN6MWKFZMJEyZImzZtVP1iC4qq0ZAqZZphBzUAoDs4CORPynQPKrXmZms/2nbTuZ4tJunOFfoUChCtvQbFFY49zIAAAVtfq+VputSzjbVTeglWUKDbghLUfeNpx5bADBb+QJmDAAWIrf3EY6Ppdo0tJvQp7vmUoAJt1yZ6gsKFYw8FCAWIiG2sTQGSYtEEg4X4O4SDAAWIrf3Ez7b0udIWEwoQCpDDsdslP0sBEp8fyzSfokXJFhdtu+lSjwLEp6dsQUlmZ9sSmMGCe8GCln82XEl3noSBibbNdK9nwxO8a7pzJaig0qXZfmLib8VB4eKSKNP4u0zzKRpMmAFhBsSXJxQgOvPhJvRonJKBia637NabpntQGQYm2jbTvV6mBQtBBZUUIP7MdynYDoorLmGi8XeZ5lM0mFCAUIBQgGgtxadeMoLtoAYAl4IFbRfaDAIUIFpU3atnwxNmQA7tf1cCS/pZZkCC9GyZ5lO02Nniom03XerZTvZzD0iK9awtgdM9sOTAGD8BbbiS7jzRomSDibbNdK9ni0m6c4U+JZqxxIQCJEg/lmk+RYudLS7adtOlHgWIT0/ZgpLMzrYlMIOFP3rLldlKLf9suJLuPAkDE22b6V7PhifMgDADEovvLvnZoISZS5jE6n/8PdN8igaTeHDRtpsu9WxjbWZAUqxnM82wgxoA0I0cBPInMwVIihl6Ah9n1qxZ0q5dO/Ud050r9CnMgGjJHhRXOPYcHvF09ylaPtnGb9p206UeBQgzIHFzlXtAoqFLBibaDrRxdhwAtKimT70DOTlSOCsr8AdOd64EFVS6NKlBTPzNJChcKEAoQJgBSeAm9BkzZpgvkZctW1YefPBB+fzzz2XkyJFSr169wAfEgjZoq8oKer+CXG8TVOI+DBb+QJuDADMgtvZTEFtNhWuXDhwo+3ftCuRRipYvL3Wzs+lT8qDpik8JKtB2SZThXYLCxRWeaB2JrZ9N9zglLFy07aZLPdtYO+4lWKeddposWbJEFi9eLL169ZI//elPMmXKFPnkk09SDitbUJL5Aplm2EENAK4NjBoO2nCFA4AG0fSrQ/uJ7jNiQky0lhwUVyhAmAFhBiSBGZDGjRvLggULZOzYsVKqVCm58cYbxfud1vgTVY8CRId0MpYbBTUAUIBwAMjEAYD2w2Bb493JE3+UgsKFAoTjTyaOP5G9bhtrx50BadCggUyaNEkGDRokzzzzjNSuXVvq168vS5cu1fjDhNaxBSWhDxdxM5tZbVya7jPbQQ0AFCAcADJxAKD9UIBoxivyhAJEwxNtnUyLU8LCRdtuutSzjbXjFiDYA3LHHXfIueeeKw899JB8++23Mnz4cJk2bVrKYWULSjJfINMMmwNj/Gyz4Uq6C1UtSjaYaNtM5Xq0HwoQDT/JEwoQDU+0dWz9LMefQ5Hde2C/FCtcRAu3ql4YbapunKeSbawdtwCxfbBk1rcFJZnPmmmGzYExfrbZcIUDQPw4p/KVtB8KEA0/yRMKEA1PtHVsxh60yfEnGtkW770hv+fs00J+2Hqls4rK3PPaB9JWQRqxjbXjFiA//PCDDBgwQL7//nv56quvZNGiRTJ79myzJCvVii0oyXz+TDNsDozxs82GKxwA4sc5la+k/VCAaPhJnlCAaHiirWMz9lCA+KPq4phsG2vHLUDat28vV1xxhdmEjpOwcnJypFGjRgXeAwJi33bbbXLgwAHZt2+f3HLLLeaUrbZt28r69evNsb8o+N3gwYNV9mILiqrRkCplmmFzYIyfSDZccdHZ+SGnxSSMdHUYbcZiB+2HAiQWR/B38oQCRMMTbZ1M+7ipFhft+OOqKLONteMWIKeffrrMnz/fiI6FCxea/sn7/9oOy1vv4MGDUrFiRfnwww8Fx/yuXbtWatWqJT/99JN06NBBhg4dKhA+tsUWFNv2g6xvQ2AXSMyBMX722HCFAiQaZxdS4LQfChCNByFPKEA0POHHTTUo5V8n08dk21g7bgHSvHlzmTt3rjl6FwJk69atJkuBbEi8xRMg06dPl9atW5vvjFx00UWyZs0aOf/88ylAfIBN98CSA2O81iKS6c6uIBkQF8Q7Z7bDDSrRuivHq9LPhssVV3gClPhxU47J8SKQMAGCk6++++47ef/992XEiBEyYcIEueaaa2TgwIHxPru5Du1dfvnl5tsiEDU4Vatdu3ZG3GzatEmysrKkTp06MmbMGKlZs6bqXragqBoNqZJNUOlCEMWBMX4i2XAl3YWqFqVMw4T2wwyIxjbIEwoQDU84qaFFyb9epo0/kSjYxtpxZ0Bw4xdffFFeffVVQebi0ksvNQKkIAX7SC688EK5++67pWXLljJv3jzp2LGj2VeyY8cOqVatmrnXE088YQTP8uXLfW83btw4wY9Xtm3bJlOnTi3IoyXs2t27d0uJEiVi3q9IkSJGmIURWGJ95/79+2M+Q0EqeM+fLgNjIjCxxVPDlXTnCTHxR4D2E40LMSEmWn8RNFfCzIAkauwJGhP0hQu4aDmFepk+Jvfr1082bNighqxAAkR9F2VF7Cnp2bPnIcLijDPOkOzsbDn77LMPaQVBOk7iqlChQszWbVVZzAZDrGCjoPEYYQiQEF8vqul0ESCJxER7LxuupDtPiIk/ArSfaFyICTHR+ouguBJmoK19l6DqBYVJ2AIkqPcNsp1MH5NtY+24BUi3bt2kUKFCh/TdkUceKS1atJDevXtL4cKFrfsVS6xOPvlkk/k49dRTZeXKldK0aVOzxwSCo3LlyqZNZDOGDBki69atU93DFhRVoyFVsiEwBcihneDSIKChlw1XKECiEXUBEwYLDLY1voI8CVfAuzT2kCsai/Kvk+ljsm2sHbcAwTdAFixYIFdeeaXpiZdeekmaNGli9oWccsop8uijj8bVi1jWdd999xkBg+VWOJIXJ2C1adNG9uzZY36Pk7KwxKpBgwaqe9iComo0pEo2BKYAoQC54IILVEx0IdjWvKiN/biACYMFChCNXZAnFCAanqAOuaJFKrpepo0/kQjYxtpxC5CzzjpLsDaxePHi5hmw9g1C4c0335SGDRvmuz8j/q6N/0pbUOK/U8GvtCEwBQgFCAXIoRywsR8KEDfthwEURZl2JA6KK8yA+CPuEi4aTmXa+JM0AYIlUt98803uMixsWq5Xr56sWLGiwN8D0XS0TR0KEB1apbOyZOlFnXSVA6oV1ACAx6Gzy79TXAi2NZTLtAGA9sNgW2MX5AkzIBqeMAOiRcm/XqaNP0kTINdff73Z7d6jRw8jQqZMmSJVqlSRhx9+2JzO9PnnnxesJwO8mgJEByYFSDROycBE11v8DogfTpk2ADCwpADR+AvyhAJEwxMKEC1KFCB+CNjG2nEvwdq3b59MnDhRZs+ebfZq4JSq/v37S9GiRQvWgyFcbQtKCI+gbtImgEKj6T6zzYFRTY2oijZcSXeeaFHKNExoPxQgGtsgTyhANDyhANGiRAGSVAFSsG5K7NUUIDq8kzHbz4FR1zec7dfhRAGiw8mvlitLGOlTKMq0VhAUV1yxHQoQLXMoQJIqQLDpHB8DXLRokdmA7pWXX365YD0YwtUUIDpQKUCicUoGJrre4hIsijKeWOPHgaCCSrTtSmBJTJgB0Y4r5IoWqeh6mTYBFomAbawd9xIs7P0oU6aMzJw5U26++WZ59tlnpXXr1mYPSKoVW1CS+fw2BMZzpvvSGjq7+Nlmw5V054kWJZzMhz1omuICJrQfzvZruE6eUIBoeMIMiBYlZkCSmgGpX7++LF26VE477TRZsmSJ/Pbbb9K1a1dBUJRqJZ0EiE0ARQFyKNNcma3U2k8mCZADOTlSOCtLC42qHgWIm/bDYJuiTOUAAvzmhUtjD+1Hyx5mQJKWAcEXyr/88ktp3LixzJkzR0qWLGmO4V22bFn8vRfSlakgQMIIoChA3AygtGaQSQIEmCwdOFD279qlhSffekXLl5e62dlpnz3kbGW4s9po3ZXAkkFluFxxhSf0KQUbXjJtTE6aALnwwgsFXy1/6KGH5JNPPpEKFSqYLMh7771XsB4M4epUECBBBlBoy5UgigNj/ITPNGcXFFcYLPhzzhVcguIJBYjbPAky2HbFdoLExCX70Y7SmTYmJ02A4MODRYoUMUfwvvDCC7J161bp1auX2ReSaiVVBAgHxmhmEJP4rSXTnF1QXGGw4HZgGRRPXAqgiAkzINqRhlzRIhVdL9PG5KQJkNGjR8uIESMOub/f7+LvyuCupADRYZmME5/o7HR941cr05xdUFyhAKEA0VqdK1wJynZcEmVBzva7wpMgMXGNKxqfkWljctIECPZ+LFiw4JD7+/1O02lh16EA0SFMARKNUzIw0fVW5h3DG1QQxWCBAkRrY65wJSjbcS2oDAoXV3hCAaL1DP71KECOkw0bNqhBtD6GF3s83n33XXn++eelZ8+euTfavn27zJs3L0qUqJ8kxIoUIDpwkxFsBzUAuDYwanos05xdUFxhsEABorEvl3xKULbjEiZBBtv0KW77FK2/yLQxOeEZkI8++khmz54tEydOlP79++fev2zZstKpUyepUaOGtq8SVo8CRAc1BQgzIBqmJIMnDBb8e4aBZTQuxISYaPwYfQp9ipYn2noUICFnQLyOWLx4sTRo0EDbL0mtRwGigz8ZgSWDBV3f+NXKNGcXFFc4W+n2bGVQPHFptp+YhBts06e47VO0o3SmjckJz4B4N8zJyZGpU6fKqlWrBP/vlTvvvFPbV7710IG33XabHDhwQPbt2ye33HKLOV1r8+bNZskX7le8eHGTgWnVqpXqXhQgKpiEAoQZEA1TksETzlaGG0Ax2HY7gKIACdd+KEDcth/NuIg6FCAJyoDgq+c//vij4IOEOI7XK2PHjtX2VVQ9HOlbsWJF+fDDD80X1teuXSu1atWSn376SW666SapXr26jBw50uw1wf0hRrIUX0emANF1STICSw6Mur5hBkQkKK4wWHA7WAiKJxRlbvOEkxrhijKX7Ec7SlOAJEiAnHrqqfLNN99IoUKFtH0Ts54nQKZPny6tW7eWJUuWyEUXXSRr1qyRo446yvy3UqVKph0In+zsbGnbtm3MdilAYkJkKlCAMAOiYUoyeMJggcGChptB8sSlAIqiLFz74aSG+2JV438oQBIkQM477zx58803pVixYpp+Udd5//335fLLL5dSpUqZjxtOmzZNGjVqJNWqVZOdO3fmttO9e3dp3779ISdx5XcTChAd/MkILDkw6vqGGRBmQPw4QPuJRoWYEBOtVw2KKxQgFCBAgAIkQQJkwIABgo3onTt3lhIlSuSy78Ybb9TaflQ97CW58MIL5e6775aWLVuapVYdO3Y0mRAsv9qxY0fuNd26dZMOHTr4CpBx48YJfryybds2s18lWQVL1Nq1axfYEpKwZ+ZmzZol+NJ9mIWYFBzd3bt3H2J7fi16ONd/a7r8nmevVkHu7gnVRPAEzxk0V8IMFtIVE/qUxAdQieBK0LbjAk/oU/y5Tq4UZFT877WZMibnh1S/fv3C/Q6Id+M+ffpEPQOWYz399NNx9+L8+fONoFi+fHluG2eccYZZaoVsB/aEcAnWf6EJM4iKuwPjuDCoGSiXMNHCmGmzLUFxxRXbAU+CwsQl+yEm0R6EmPh71aBwoU9JvIDXjpOJrJdpY3Iktrarjaw/RBhmZ27atElOPvlkk/nAHpOVK1eavR5Lly6V22+/3XxjxNuE3qVLF1m9ejU3oYcwsx1mH0e2HdQA4FIApcU/05xdUFxhsOB2sBAUT1zyKcSEAkQ7rpArWqSi62XamJw0AfLrr78KjtxFVuLVV181WQssybryyivj7z0RefHFF+W+++6TwoULCzal40jeK664QiBOevToYTaiY9/JhAkTpE2bNqp72aoyVaNxVKJhc2YuDtrkewmWcGBpn6aEsQRLc98g6wRlPxQgFCBaXrrClaBsxyVRhncJChdXeBIkJq5xReMzKEAStAfkqquukjp16sg///lPWbZsmezatUtatGghixYt0vRTQutQgOjg5ib0aJwSjcmBnBwprDhaWtejf9SiAPkDCwYLFCBa+3GFK0EF2q4FlUHh4gpPKEC0nsG/HgVIggRI48aNZcGCBeaEqoULF5rewJfRkQVJtUIBouuRRAfbdHb+/bJ04EDZv2uXrtNi1CpavrzUzc4WChAKkFiEciWICiqodCnYJib+7A8KF1dsh2NyLC95+L9TgCRIgDRv3lw+//zzXAGCDEizZs3MiVWpVihAdD1CAZL8DAgHgPy5ymAhGpugMGGwzayQbpRw5wCUIH0tBYjb9qO1DQqQBAmQ4cOHS5kyZWTKlClmPwaOvW3YsKGMGjVK21cJq0cBooOaAoQCRMOUZPCEwUK4M7gUIG4HUBSq4doPBYjb9qMZF1GHAiRBAgTf7Bg7dqzZgI7N4pdeeqnceuutqlOptJ0ZVD0KEB2SyQgsOTByVlvHTm4Y9cOJ9kP70dgPeUIBouFJkBM9Lk1qaLGjAEmQANF2SCrUowDR9QIFCDMgGqYkgydBDoycrXR7tpLBNkWZxo/Rp4QryihADs9CF/ZlRr6hbawd93dArr32WnnggQekQoUK5hl+/vln862OSZMmaW0/YfVsQQnrwTgwcmDUcIs8CXdgpAChANHYoUsBFH0KfYqW8+SKFqnoesyAJCgDkvf0K68bvJOx4u++cK6kANHhmoyZbTo7ijIdO7kEyw8n2g/tR2M/5AkFiIYnQWaFXBLwWuwoQBIkQE477bRDTrzCPpB69erJ119/re2rhNWjANFBTQESjRMxSQ1MghwYmQFhBkTnEd058YkChAJEy3lyRYsUMyCRCNjG2nEvwbruuuukZMmSMmzYMLMJHRvSd+zYIZMnT46/90K60haUkB4jsK+uujSzQGfHGVytvQXFFQoQChAt51zhSlC249LYw0mNcEWZa1zR+AxmQBKUAfn1119l0KBB8sYbb0ihQoXMKVg4ihdH86ZaoQDR9Qhn+1Njtp/BQrgDoytBZZABlEvBAu2Hkxq6EY/LOv1wov1o2cMMSFIyIPv375fbbrvNbEJPh0IBouslChAKEA1TksGTIINtChBmQDQ8pyhzmyf0KeFO9LhkP1p/wQxIgjIgZ599tnz44YfafklqPQoQHfzJCCw528LZSh07OVvJ2UodU+hT6FN0TKFPoU/RMkVXjwIkQQIEy6327dsnffr0kdKlS+f2DvaFpFqhANH1CAUIMyAapiSDJ5yt5GylhptB8sSlGVyKsnDth1lV97NlGv9DAZIgAVK4cOHc/sAeEGxEx3+xPCvVCgWIrkeSEVhyYORspY6dnK3kbKWOKfQp9Ck6ptCn0KdomaKrRwGSIAGi647UqEUBousHChBmQDRMSQZPgpzZ5myl27OVFCAUIBo/Rp8SblbIpQyilk8UIAkUIIsWLZLly5fLVVddJdu2bZNdu3ZJlSpVtH3lWw/ttG3bNvdvO3fulNWrV8vmzZulc+fOsn79eilbtqz5e69evWTw4MEx70cBEhMiUyEZgSWDBQYLOnZytpKzlTqm0KfQp+iYQp9Cn6Jliq4eBUiCBMjEiRPlySeflN9//11WrVplfvBtkA8++EDXU8paDz74oHz00UcyY8YMI0yGDh0q7du3V17932oUIDq4KECicSImqYEJZys5W6nzYsEFlS7N4FKUhWs/zKr64+sSLhr/QwGSIAHSqFEj+eyzz+TMM8+UhQsXmr7Bl9CXLVum6Sd1nbp168q9994rHTt2pADJg5orhs2BkbOVWmcQFFdcsZ0gRRmDbbcDqKBsxyWeBGk/9Clu2492jKIASZAAadasmXzxxRcCIeIJkIYNGwqWZQVV5s6dK506dZINGzZIVlaWESCbNm0y/1+nTh0ZM2aM1KxZM+btmAGJCZGpwNn+1JjtZ7DA2UqdxXK23w8n2g8nNRJtPxQgFCBAgAIkQQIEy6BwFO8VV1whCxYskOeff15efvlls1QqqIIlXeXLl5fs7GzT5Pfffy/VqlUzJ2498cQTMmHCBLMHJbLgufDjFewrmTp1alCPZd1OkSJFpF27dpIuA+OsWbNCP82MmETTiJj4m1bQuIQZLCTCdoBS0JiEPbOdCFyICX2KdnAOmiv0KYkXIInwKVo+efV2794tJUqUOOxlHvfqvzVdfs/Jsb2Fb31v8jjZmPTr188kDLSl0EFE83GUlStXms3nX3/9tVSqVEnw/Q+IjxNPPDGO1qIv2bFjh9nQ/uWXX0qtWrV820RH//DDD1KhQoXD3pMZEF2XMAMSjRMxSQ1M8BRBCfgwgwWdpQVXKyhMwhYgwb1x7JaISTRGxMSfN0HhQp+SeAES2xMkvgYzIAnKgPzyyy9Srlw5+fbbb01G4tRTTzWzckGVZ599ViZPnixz5swxTebk5MiWLVukcuXK5t/IaAwZMkTWrVsX85YUIDEhMhUYbKdGsB3UoOhSUEkBEm4A5RJXaD8UILoRj5MafjjRfrTsia5HARKyAJk9e7Z0797diIHq1avL66+/LvXr14+/x/K58qyzzpK+ffuaL62jICPSpk0b2bNnj+AjiBUrVjTLrBo0aBDz3hQgMSGiAMkHIoqy1BBlFCAUIDovFlxQSVHmjzhn+6NxISbuc0XjfyhAQhYgTZs2lREjRsh5550nL7zwgrz66quB7vvQdLJtHQoQHWIMtlMj2OYMVLjBNoMFt4MF2g8zILoRLzixSp/itk/R8okCJGQBEnnSVd5TsLSdlOh6FCA6xClAKEA0TEkGT5gBCVeUcbbf7QCKoixc+6EAcdt+NOMi6lCAhCxAGjdubE698krkv7Udlch6FCA6tJMRWHJg5Gyljp2crfTDifZD+9HYD3lCAaLhSZATPS5NamixowAJWYAULVrUHI3rla1bt5p/YyN6oUKFZPPmzdq+Slg9ChAd1BQgzIBomJIMngQ5MHK20u3ZSgbbFGUaP0afEq4oowA5PAvDOIZXy/uw6tnG2tbH8MY6der4448P693ibtcWlLhvFONCDowcGDXcIk/CHRgpQChANHboUgBFn0KfouU8uaJFKroeMyAhZ0Di75rkXUkBosM+GTPbdHYUZTp2cgmWH0606g84SwAAIABJREFUH9qPxn7IEwoQDU+CzAq5JOC12FGAUIBEcYUCRGc+FCDROBGT1MAkyIGRGRBmQHQeUcQVrlCAUIBoOU+uaJFiBiQSAdtY23oJVvxdk7wrbUEJ60lp2Jyt1HCLPGGwoOFJkKLMpdlK2g/9bKLtxxWhSp+iZY5/PWZAmAFhBiROG+Jsf2rM9jOAogDRmjC5wmBbwxXyhD5FwxMKEC1KFCB+CNhO9hcoA7Jx40ZZs2aN5OTk5D5L69atC9aDIVxtC0oIj2Ca5CDAYEHDLfKEwYKGJ/Qp4fKEWSF/fDnbH40LMXGfKxqfzAxIgjIg9957r4wdO1Zq1qwpRYoUMX2DY3i//PJLTT8ltA4FiA5uZkCicSImqYFJkME2gwW3gwUKeE706Ea84CYF6VPc9ilaPlGAJEiAnHjiifLFF19IxYoVtX2TtHoUIDroGWynRrDNACrcmW0GC24HC7QfChDdiEcB4ocT7UfLnuh6s2bNknbt2qka4HdAROJegtWyZUv59NNPVUAnuxIFiK4HKEAoQDRMSQZPmAEJV5ShdVeEGQMoChCNH6NPoU/R8ORATo4UzsrSVLWqQwFSAAEyatQo2b59u1x99dVSokSJXODr1Klj1QmJqEwBokM5GYElgwUGCzp2craSs5U6ptCn0KfomEKfQp+iY8rSgQNl/65dusoxahUtX17qZmcLBUgBBMgJJ5wQBTP2gKxevTqQTgqyEQoQHZoUIMyAaJiSDJ5wtpKzlRpuBskTZoX8EXclUxYkV4iJ21zhpIbO+9rG2nEvwdI9jn2tbdu2Sdu2bXMv3LlzpxE1mzdvNqdt9ezZU1atWiXFixeXiRMnSqtWrWLexBaUmA3GWYEk5sychjrkSbjBNoMFBgsaO6QAcZsnFCDh+lnaj/v2E/mGtrF2gQTI/Pnz5f333zenX5177rnSpEkTrV9X13vwwQflo48+khkzZkjfvn2levXqMnLkSJk3b5507drViJGsGOvzbEFRP5xlRQaWFCAaypAn4Q6MFCBuD4y0H/pZjZ+lAAnXz1KAuO1n/d7ONtaOW4A89dRTcs8990jnzp3Nc0yfPl3uuOMOufbaa7W2r6pXt25dwZG/HTt2lNKlS5vvjlSqVMlc27RpU8nOzj4kYxIEKKoHi6MSB0YOjBrakCfhDowUIG4PjLQf+lmNn6UACdfPUoC47WeDiLXjFiCnnXaayX54YuCnn34yWZAlS5ZobT9mvblz50qnTp1kw4YNZsN7tWrVBEuyvNK9e3dp3769WZZ1uGKrymI+WJwVODByYNRQhzwJd2CkAHF7YKT90M9q/CwFSLh+lgLEbT+bdAESKTYaNGggixcv1tp+zHrXXXedlC9f3mQ5tmzZYpZf7dixI/e6bt26SYcOHaIEyLhx4wQ/XsG+kqlTp8a8X1gV8KFGnA2dLgMjzrLev39/WHCYdolJNLzExJ9yQeMSpgBJhO3QfhLDk7ADqERwJWjbcQGTMOyHPiXxwTbt5w/MvYNhEoHJ4QLDfv36mYSBtsSdAcHSq9q1a8uAAQPMHpC//e1vRnxMmzZNe+/D1oPQqFKlivmyeq1atUzdUqVKydq1a7kEi2f2+3InzEEgEFIrG0kXoap8ncCqBYWLKzwBsEFhEnZgGRgJFA0Rk2iQiIk/cYLChT4l8QJE4QoCqxIUT1zys37g2q42iluA4FSqgQMHChQXBAhm+MePHy9HH310IJ3+7LPPyuTJk2XOnDm57fXu3Vtq1KiRuwm9S5cu5oQsbkLPCQTzZByvSsNmsKAlb1BcYbDAYEHLOVe4EpTtuBZABYWLKzzhpEa4QtU1+4lEK2ECROvA46131llnmVOv+vTpk9vEpk2bpEePHmYjerFixWTChAnSpk2bmLewBSVmg3FWCMrZuURiYkIBojWnoLjCYIECRMs5V7gSlO24NPYEGWy7wpMgMXGJK7Qfnce0jbWtMyCffvqptGzZUmbOnOn7RBdffLHuSRNYyxaUsB6NJGawreEWeRLuLBSDBQoQjR0ygHKbJ0EG2/QpbnOFY7LOY9rG2tYCBBvDcQTv2WefHfVEWIr1wQcf6J40gbVsQQnr0UhiChANt8gTChANT4IMoBhsM4DSco7BdjRSxIT2k4n2E/nOtrG2tQDRgpxK9WxBCevZGVhSgGi4RZ5QgGh4QgESLk8oytwOKoO0HwoQt7nCMVk3ItnG2nELEHwEECdU5S1+v9M9dri1bEEJ62lIYgoQDbfIk3ADSwYLDBY0dkgB4jZPKEDC9bO0H/ftJ2kZkMaNG8uCBQty74/vRtSvX1+WL1+u9e0Jq0cBooOap2BF40RMUgMTBgsMFnRejEcT++HESY1w7YeTGm4H27Qfnfe1jbWtMyBjx441HwbEl8nLlSuX+1T4QvnVV18tkyZN0j1pAmvZghLWo5HEzIBouEWeMFjQ8CRIUcbZSgZQWs4x2I5GipjQfjLRfhKeAYHw2Lp1q/zpT3+SiRMn5t6/bNmy5qvlqVgoQHS9wtn+1JjtpwChANFZLGf7OduvYwp9Cn2Kjin0KfQpWqZE17ONta0zIPE/WvKutAUlrCflIMAMiIZb5AmDBQ1PmAEJlyfMCrk9qx2k/TAD4jZXOCbrRiTbWDtuAbJq1SoZNGiQLF68WHbv3p37dPhCeqoVW1DCen6SmAJEwy3yJNzAksECgwWNHVKAuM0TCpBw/Sztx337iXxD21g7bgGC74D0799fRo0aJf/85z/lsccekxo1ashtt92m9e0Jq2cLSlgPxsCSAkTDLfIk3IGRAsTtgZH2Qz+r8bMUIOH6WQoQt/2s39vZxtpxCxDvFCycfLV06VI5ePCgnHPOOfLhhx9qbT9h9WxBCevBODByYNRwizwJd2CkAHF7YKT90M9q/CwFSLh+lgLEbT+bVAHSrFkz+eKLL+TMM8+UF198USpXrix16tSR1atXa20/YfUoQHRQcxN6NE7EJDUwYbDAYEHnxbiJ1g8nirJw7YeTGm4H27Qfnfe1jbXjzoAMGzZMbr31Vnn77bflpptukuLFi0vXrl3lkUce0T1pAmvZghLWo5HEnJnTcIs8YbCg4UmQooyzlQygtJxjsB2NFDGh/WSi/US+s22sHbcAyXvj77//3nwXpF69eto+SGg9W1DCejgGlhQgGm6RJxQgGp5QgITLE4oyt4PKIO2HAsRtrnBM1o1ItrF23AJk/fr1vk9UvXp13ZMmsJYtKGE9GklMAaLhFnkSbmDJYIHBgsYOKUDc5gkFSLh+lvbjvv0kLQNSqVIlKVSokNl8jmN48SX0ChUqCI/hzX9oY2BJAaIJfMiTcAdGChC3B0baD/2sxs9SgITrZylA3Pazfm9nO9kfdwYk8ubTpk2TRYsWmWN5C1L27NkjN998s7zzzjtSrFgxadSokUyZMkXatm0ryLrgi+sovXr1ksGDB6tuZQuKqtE4KnFg5MCooQ15Eu7ASAHi9sBI+6Gf1fhZCpBw/SwFiNt+NqUECB7mrLPOkk8++URr+771ICr2798v48ePNxmWjRs3SpUqVYwAGTp0qLRv3966fQoQHWQ88SkaJ2KSGpgwWGCwoPNiPAXLDyeKsnDth5MabgfbtB+d97WNtePOgGDJlVcgGHAk74033ijfffed7kl9au3YsUOOPfZY2bBhg5QuXfqQGhQghwLmisOjYXO2UuswguKKK7YTpCjjbCUDKK0d0n6ikSImtJ9MtJ/Id06YAClcuHDuHpAiRYrISSedJA8//LBceOGF2n6IqrdkyRLp1KmTdOvWTWbNmiVHHHGEjBw5Us4991yTAdm0aZNkZWWZ742MGTNGatasqbqXLSiqRuOoFFQAxWCBzk5LPw6MDBYyjSv0s5zU0HI+KK7Qz3JM1nLOJa4kTYBowbap99VXX8npp58uzz33nPTs2VMWL14s7dq1k+XLl5uN7tWqVTOb3p944gmZMGGC+b1fGTdunODHK9u2bZOpU6faPEqgdSHQ8B5BObuwBQjEH7JaYRZiEo0uMfFnXNC4hDkAJMJ2gFLQmNCnJD6ASgRXyBP6FO04Tq5wTNZyJb96/fr1MyuYtMV6CVbepVd+NylZsqT23lH1fv75Z/NF9b1795oBFqVp06aSnZ1tMiB5S4kSJeSHH34wJ2/FKsyAxELov3/nfodonIhJamCCpwhKwIcpQHSWFlytoDAJW4AE98axWyIm0RgRE3/eBIULfUriBXxsTxBcjaB44pKf9UPXNta2FiDe0qv8uragM+fnn3++DBo0SC6++GJZt26dyYgsWLDAnIgFcYKCbMaQIUPM3zXFFhRNm/HUIYk5MGp4Q54wWNDwJEhR5tLASPuhn020/VCAUIBoOecSVyLf2TbWthYg3g1Hjx4txYsXl+uvv94si5o8ebLZnwHxUJCyevVq6du3r2zZssVkQe666y6BKGnTpo3giF4IoIoVK5olVg0aNFDdyhYUVaNxVOLAyIFRQxvyhAJEwxMKkHB5QlHmdlAZpP24FFRy/GGcoh1/kiZAWrZsKZ9++ukh92/VqpXMmTMn3mcP7ToKEB20XG4UjRMxSQ1MGCww2NZ5seCW6lGAUIBoOUcB4jZXKMp0lmAba8edAaldu7bMmDHDnH6FsnLlSvONjm+++Ub3pAmsZQtKWI9GEnNmQcMt8iTcYJvBAoMFjR1SgLjNE05qhOtnaT/u20/SMiD48jmWXzVp0sQ8w8KFC+Vvf/ubdOzYUevbE1aPAkQHNWf7U2O2nwIk3IGRAsTtgZH2w4ke3YgXXLaMPoU+Rcs5l7iSNAGCG2/evNl8gBB7QFq0aCGVKlXS9kFC61GA6OCmAKEA0TAlGTzhbGW4ooyzlQygNLbvEk/oU+hTtJznpIYOKdtYO+4lWN7j5OTkmGNzvVKQY3h1r2hfyxYU+zvoriCJOTOnYQp5Eu7A6NIMFLlCn0KfokGAPkWLEn0KfYqWK5H1bGPtuAXIl19+KfjoyIoVK0wGxCsFPYY33hc/3HW2oITxDEHOtrg0C0VnR2entbeguEIB4o+4K7gExRP6Wbd5EuSY7IrtBIkJ7cd9+0maAGnevLmMHz9e+vfvLx9//LE8+uijcsQRR5jvc6RaoQDR9UgyltYwWKAA0bGT67X9cKL90H409kOeMAOi4QkFSLg8cUmU+SFlG2vHnQHB5vOvvvpK6tevL0uXLjXPgq+Vz549W8vzhNWzBSWsB+MgwGBBwy3yJNxBgLOVbs/M0X7oZzV+Nshgmz6FPkXLOZe4krQMSNOmTQXLsCA6HnnkEUGQf8YZZ8iaNWu0/ZCwehQgOqiZAYnGiZikBiYMFsIVZS7NzFGAUIDoRjxmVf1wov3QfrT2kzQB8vDDD0vPnj1NFqRr166CzeijRo2SoUOHxvvsoV1HAaKDlsF2agTbHADCDbZdmoEiVxgsaLw7eUKfouFJkBM9nNRwOyvk93a2sXZcS7AOHDgg8+bNk2bNmpln2Ldvn+zevVvKlCmj5XhC69mCEtbDcRBgsKDhFnnCYEHDEwYL4fKEAZT7AVRQvpaTGm5zJSieuORTkiZAcGNvCZZ2oExmPQoQHfrMgDADomFKMngSZLDNYIHBgobnLgULDKDCFav0KfQpmeZTkipAevXqJXfddZfUrFlTi3vS6lGA6KBPRmDJgZFZIR07uV7bDyfaD+1HYz/kCQWIhidBTvRQwLstypIqQC666CL59NNPpVWrVlK6dOncZ3n55Ze1PE9YPQoQHdQUIMyAaJiSDJ4EOTByttLtgZHBNkWZxo/Rp4QryihA3PazSRUgzz33nC+6yIykWqEA0fVIMgJLBgsMFnTsZAaEGRAdU+hT6FN0TKFPoU/RMYU+RYeTbawd1yZ03aOkTi1bUMJ6cpKYA6OGW+RJuDNzzIC4PTNH+6Gf1fhZZkDC9bPMgLjtZ5OSAVmyZIl8/fXXcuWVV5r733DDDbJ161bz/7fccov5FkhByp49e+Tmm2+Wd955R4oVKyaNGjWSKVOmyObNm82xv6tWrZLixYvLxIkTzfIvTaEA0aAkwgxINE7EJDUwYbDAYEHnxYKb1WYA5X4AFZRY5aSG21wJiicu+ZSkCJDOnTtLv3795JJLLjH3r1WrlgwfPlx27Ngh77//vkydOlU7TvjWGzx4sOzfv1/Gjx8vhQoVko0bN0qVKlWkb9++Ur16dRk5cqQ5AhjfHoEYycrKink/CpCYEJkKDLZTI9imsws32GawwGBB5xFFXOEKfQp9ipbz5Eo0UsRExx7bWNt6CVaTJk3Mxwe9ggzFwoULzT/POuss+eSTT3RP6lMLIubYY4+VDRs2HLKx3QTHpUubr6xXqlTJXIljgLOzs82X2GMVW1BitRfv30liGraGO+QJgwUNT1CHXKFP0XCFPKFP0fCEPiVcnqB1VyY1/JCyjbWtBUj9+vVl6dKlufdevXp17lG89erVk2XLlml5HlUPy7s6deok3bp1k1mzZskRRxxhMh4NGzaUatWqyc6dO3Ov6d69u7Rv394sy4pVbEGJ1V68f+cgwGBBwx3yJNxBwKUBgFyhT6FP0SBAn6JFiT6FPkXLlch6trG2tQCpXbu2fPHFF1K2bNlD7r19+3bzZfRvvvkm3mc3mZXTTz9dcMIWhMXixYulXbt2RtTgeyPIkHgFIqVDhw6+AmTcuHGCH69s27atwEvD4n4pESlSpIh5j3QxbIg/LIMLsxCTaHSJiT/jgsYlTAGSCNsBSkFjgjbTHRdiQp+iHbOC5kq62w59SmLGHhf87OFsDNszsIJJW6wFyN13322EwTPPPCNHHnmkuQ/EB26MDAgyFvGWn3/+WSpXrix79+41AyyKt9QKe07Wrl3LJVj/AzdMhxdv/8VzXbqIsnjeLd5riIk/ckHh4ortAKWgMAl7YIzXFuK5jphEo0ZM6FO0tkSu0H60XImsF3oGJCcnR3r37i2vvfaanHTSSWaj+L///W+57LLL5Nlnn1VtCj/cy51//vkyaNAgufjii2XdunUmI4KlWdjoXqNGjdxN6F26dBEs/+Im9Onye05OvHw55DpuQo+GkZikBiZBBtsUIP7uwhVcGEAxgNIOiEFxxRXbCdLPclLDbT/r93ahCxDvpitXrszdfI6N6BAjQRSICpx4tWXLFpMFueuuu8y+kE2bNkmPHj3MRnQczzthwgRp06aN6pa2oKgajaNSUM6Ohu22YZMnnK3UuhdyhcG2hivkCX2KhicUIOHyxKXYLakCREvmVKhHAaLrBc72p8ZsP4OFcAcBzlZSwOs8Yrj7YrTPEEQ9+hT6FC2PyBVOami5ElnPNta23gMS74Ml8zpbUMJ6Vho2DVvDLfKEwYKGJ5ytDJcnLs1W0qeEyxVOanBSQ+uzXeIKBYii1ylAFCDxQ4S+IDErlBpZoSCDbZcGAAaWnNTQeHfyhAJEw5Mg/SwFvNuizO/tbGNtZkC0VhlAPQ4CDBY0NCJPGCxoeMJgIVyeMIByP4AKytdyUsNtrgTFE5d8CgWIcpS2VWXKZq2rkcQUIBrSkCfhBpYMFhgsaOzQpWCBPoU+Rct5coVxipYrkfVsY21mQOJFOo7raNg0bA1tyBMGCxqeMAMSLk8oQNwWqkHaDyc13OYKx2TdiEQB4oOTLSg6qO1rkcQUIBrWkCfhBpYMFhgsaOyQAsRtnlCAhOtnaT/u2w8zIIqRhAJEARI3ofuCxE3o0bAkAxMGCwwWdF6MX4f3w4mTGuHaDyc13A62aT8672sba3MJlg7XQGqRxMyAaIhEnjBY0PAkSFHG2UoGUFrOMdiORoqY0H4y0X6YAVH0uq0qUzQZVxUGlhQgGuKQJxQgGp5QgITLE4oyt4PKIO2HAsRtrnBM1o1ItrE2MyA6XAOpRRJTgGiIRJ6EG1gyWGCwoLFDChC3eUIBEq6fpf24bz/MgChGEltVpmgyrioMLClANMQhT8IdGClA3B4YaT/0sxo/SwESrp+lAHHbz/q9nW2szQyI1lMFUI8DIwdGDY3Ik3AHRgoQtwdG2g/9rMbPUoCE62cpQNz2sxQgSi9jq8qUzVpX48DIgVFDGvIk3IGRAsTtgZH2Qz+r8bMUIOH6WQoQt/0sBYjSy1CA6IBKxvGqDBYYLOjYGdzxqhQgbg+M9Cn0KfQpWgTIFQ1S9CkalERsY20uwdLhGkgtkpjOTkMk8iTcmTkKEAoQjR1yBtdtnjADEq6fpf24bz+Rb+iEAKlRo4aUKFHC/KAMHz5cLr/8cmnbtq2sX79eypYta37fq1cvGTx4cMyxxBaUmA3GWYGBJQWIhjrkSbgDIwWI2wMj7Yd+VuNnKUDC9bMUIG77Wb+3s421UzIDAgHyxhtvSL169Q55RwiQoUOHSvv27bX+xdSzBcWqcYvKHBg5MGroQp6EOzBSgLg9MNJ+6Gc1fpYCJFw/SwHitp+lAFF6GQoQHVDcAxKNEzFJDUwYLDBY0Hmx4PYKMYByP4AKSqxyUsNtrgTFE5d8itMC5Mgjj5QDBw5Is2bNZMyYMVKpUiWzBGvTpk2SlZUlderUMb+vWbNmzHGJAiQmRKYCg+3UCLbp7MINthksMFjQeUQRV7hCn0KfouU8ucIMopYrkfVsY+2UXIKFfR7Vq1eXffv2yYgRI2Tp0qUyc+ZM+f7776VatWpy8OBBeeKJJ2TChAmyfPnyKKzGjRsn+PHKtm3bZOrUqfFiWuDrihQpIu3atZN0MexZs2bJ/v37C/zeh2uAmESjQ0z8GRM0LmEGlYmwHaAUNCZhz8wlAhdiQp+iHbSC5gp9SuInNehT/sDcmzxOBCaHs7F+/frJhg0btGYoKSlA8j79xo0b5ZRTTpHffvst6qWwSf2HH36QChUqHPaFbVWZGj3LiukiQCxfq0DViQlnW7QECoorYQYL2ncJql5QmIQtQIJ6X007xIQ+RcMT1AmKK/QpiRcg2j4Ool5QPHHJz/rhahtrp5wA2bFjh8l8lCtXzrwfMhmvvvqqfPDBB7JlyxapXLmy+T0yGkOGDJF169bF5JctKDEbjLMCScyBUUMd8sQfpaBwYbDAYEFjhy4FC0HZjkuYUICE62dd4grtR+cxbWPtlBMgq1evli5dupglQFhqhT0e48ePN3tA2rRpI3v27JHChQtLxYoVjThp0KBBTGRsQYnZYJwVSGIKEA11yJNwB0YKEAoQjR0ygHKbJxQg4fpZ2o/79hP5hraxdsoJEO3AYFPPFhSbtm3qMrCkANHwhTwJd2CkAHF7YKT90M9q/CwFSLh+lgLEbT/r93a2sTYFiNZTBVCPAyMHRg2NyJNwB0YKELcHRtoP/azGz1KAhOtnKUDc9rMUIEovY6vKlM1aV+PAyIFRQxryJNyBkQLE7YGR9kM/q/Gz8QiQg0WKiBQqFNU8fEq9Bx+Upu/OkB37c7S3P2y9UkWy5MvzOwTSlk0jS/78Zzmwe7fNJfnWdQUXYvLfLi5UqJDZApFfsY21mQEJxMx0jXBg5MCoYQp5QgGi4Uk8AdTh2nVFmNF+6GeDtp+DWVlS+JJLpNDRR5sgLKoULizFjjpK/rNrp9m7GkTBfaoeUTKIpqza2Ltli0hA7yCO4EJM/qAQTp89/vjjfYUIBYiPqdmCYmWtFpU5MHJg1NCFPKEA0fCEAiRcnqB1irJojF3BxMp+mjWTMi1aSOUjj/QVIIWysuSI446TFb9uk/0BBe9FChWS2mX/expoIsuu9evl4IEDgdzSFVyIyX/pAHGNT18UL15cjjnmmCiO2MbazIAEYma6RhhYUoBomEKehBtYZmQApSCeK7jQfuhnFXQ3VTRcQT6jSN++Uv2446Q4lmD5FATaJatXl6+3bw1UgNQ9srz2VQKrt3Pt2kAFiAu4EJM/6LV7925Zu3atnHrqqVFinALExwxtQQnMkiMa0jg77b0ZLEQjRUzcxUQbLGjsxxWeBIkJ2nIFF/pZChCNH9DaD5ZfZfXtKydUrSrISlCAaNEVcUWYUYD80ef4RMZ3331nBEjkfhDbWJsZEL0tFbgmB0YOjBoSkSf+KAWFiyuBtjaA0nCOAsQfJVe4EpTtuMQTrf14AqRm1apS2BMgEULEBNrVqsmKADIgyLiYrEuhQsIMSLRdJgMXCpBoAXLKKadIkYiMIAUIMyDaeCOqXumsLFl6Uae4r4/nQg6MFGVa3gTFFVeCSm0ApcXXFVyC4olLwTYxiX9SI0qAFCokJZANKV5ca1pW9fbt3Svf7PzdiJ3DCZBp06bJvffeaz7ajA80V61aVd577z0zK/3II4/IVVddJUcffXTMez/77LNy5plnCgJKFJtgu07r1mY/wLy33pKsrCxz/VmXXSb3Dh8urZs3DyQD0q/9pdK5Zw+5pHs30/7E+x+Q5x57XLZu3SrFihUzvzvxxBPlmWeekdatW/u+7/z58+Xhhx+Wf/zjHzHx8KugxWTBkiVyz8MPy3erV0v5I4+UAwcPymUXXCB//fOfc5uNNyv05P0PyM4dO+Tme0ZFPeJFpzWUMiVLCjaI79q1S/r06SO33nprzHeN7PuYF4gYviEDQgGiQUtEbFWZslnrahwEGGxrSEOexB8saPB1JdCmAAmXJxQg/vhmmv34CZBSJ5wgSwcOlP27dmlcjrpOkSOOkPqPPirLtv1i1tfnJ0B+/PFHOe2002TevHnmRCKUBQsWSKNGjcx1NWrUkDfeeEPq1asX895t27aVoUOHSvv27eMSILjfkBtukH5XXRWKAJn4QLb8+MMPMvLR8aZ9CJIiOTny4IMPSqtWrWTDhg0mGIYggRgKo0QKkJycnFzB5d1v2bffysVXXy2TsrPlonPOMb/++Zdf5N7x4+Xhu++OEiCLt/wkhfLZU+T3DrEEyDszZ5r+/s9//iN16tSRd999V5o2bXpYOCL7XoMdBYgGpTx1KEB0gDEDEo0TMUkNTIIMtjMtgNJZP/eA+OHkClc4qRG/WM3CLmiTAAAgAElEQVRPgASJqfd0hUuUkIZPPRVTgCxcuFAuueQSMxNdunTpQ15u1KhRMnr0aKlZs6aZEccs95YtW2TEiBGCDcT79u2Tm2++2cyST548WQYNGmQyJWXLlpX77rtP2tapI49MmiTTZs6UnP37pXLFivLo6NFyXNWqUSAiAzJi0CAZ+dBDsmjWLCl5xBGHZEA2b90qQ0aPlq+/+1YOHDgoV91wvXTt3cu0g1n7y66+Sj57/wP5adMm6dTjarl+6NCoe3z16Wdy118GyhsL5svePXukc4uWcsfw4bJp0ybzTs8//7w899xzMmvWLLnmmmvkm2++kb1790r16tXl6aefNu82e/ZsI7KQCbn22muldu3aBgOU1atXmwzQ999/b/59xx13yAcffGDaqFWrlkycOFGKbdsm1998s5QpXVpWrlkjG378Uea//fYhz9pvyBA59phjZNSwYfm6XODV58or5aP586VUpYoy5J5R8tdrr5cdv/0me/bslmatW8tf7x9jRORv23+VkQMHyupvv5XKxx4r5StUkIqVK+ebAfEECG7erFkz877dunWT999/X933F198sRF2L7/8skBk4aSrSZMmSbVq1XLfiQJEO6L+rx4FiA4wBtupEWwHObC5EkBRgMQfQOmsnwKEAkTHlEzzKakoQA4cOGCCyw8//FDatGljAmgsuTr22GNNJ0ZmQJAdgMDAmv1ffvlFGjduLHPnzpUqVapI5Cz4M+PHy8dz58r4e+4x9V+cPl1efftteWnSJF8B8q+nnpIHn3xSap98sgwbMOAQAdLrppvk5Hr15Jpbh8nmzZvlyrbnyEN/f1bqN2liBMg57S+RW+67V375+Wfp0Ph0mfb5Z1I5QuhgSVqrGjXltS+/kO/XrpHpf39exo2+V/70pz+Z4Lpv375mCdbtt98uP//8s1SsWNE85/3332+yI48//vghAuSzzz6TG264QZYuXWrq3XnnnbJjxw556KGHjAADthA2KPfcc49pc8zgwUaAIMvxzosvSulSpaKwaHLBBXLXkCFy6QUXHFaAtGvTRiZPmSLLf90mO3ftkv05OVKydGmztOmmq66Ry666Us677FJ5cMQd8uu2bTLq8cdk65YtckWbs+X8Th1jChAIMIjTzz//XCpVqmQyQ9q+f+GFFwxWTz75pOl7iLtXXnlFXnvtNQoQnXuMrkUBokOOAoQCRMOUZPCEAoQCRMPNIHmCtlwJtjmpEb/9pKIA8d4GweZHH30kb731lgkcMcN/0kknRQmQlStXyrBhw0zGBHs18O9XX31V2rVrFyVAulxyiSxYutTM9qMgMEYwOveNN/IVIMh8tO3SRRa8+6507N07dw9I9SZNZPHSpbK9TClzPPEDtw6XikcfLf2GDDYC5MHnnpG6jRqZdru3biu3PnC/NG7RPOo+13fsJB2uuEI2rF0rx1StIncNHGTe8+uvvzbZjClTphgRNn78eBM0Y08M9kJgBn/OnDmHCBA0jswGrmnSpImccMIJucvVsGTp119/NZkjFGRBIG5eeuwxI0BOOfFEubl/f18yQYCMvPlm6XD++ebvt48ZIx98+qlZhvXmlClySs2aggzIc48/Lm07djRHNv++Y4c8fOddsvDzL8w3NiDEOve4Rv484na5vM3ZBo9GzZuZ9rKH3yZFsrIOuwcEmZNvv/3W7He56aabzHU2fd+9e3fDIQiWvH2/aNEiChDtABRZjwJEh1wyAksOjNF9Q0ziDxY0THclqGSwHS5PKED88c00+0llAZK3hy688EI5//zzZciQIVECBEKjQ4cOMnDgQLO8BxkQLNXCvo/IDEjniy+W89q0kZ7d/rvp+3AFATUyIHVPPVWG3n23ESqfzZt3iABZsmyZbCtd8g8BUrmy9Bs8yAiQR//5opxcp7a5xZVnn2OWJB1VsaIMv+4G87uGzZrKbQ+OlacefEi+X7tWfli7TkaOf1guaXKGXHnllWamv3///maW/4svvjDLypDhwMz/66+/bt4RAXXeJVho18uOdOrUSYYPHy5ffvmlud8ZZ5whDzzwgJzzvz0c3rtjDwgESKP69aV/z56+kPQdPFiqVa0qd99yyyF/z4sR/v+VZ56RM847zwiQJ8eOlZXLv5F7JjwuxUuUkLG3jzCHCGCjOQTZ8OwH1ALEW4KFpWjoa7xT/fr1jcjU9j2yahdddJHJKuVXuAQrllVE/J0CRAcYBUg0TsQkNTAJMtjOtABKZ/2c7ffDyRWucFIjfrGaigIEX6PGx+BatmxpXgwBePPmzSU7O1suu+wys0Edy2i8v2OmH3sbOnbsKB9//LGcffbZZlkNBMill14ql19+uVx99dWmrcnjxsmEZ56R1557To4qV87sGVn+3XfSoG7dKBDzBtc/bdkip194oRTNypKnH37YnIKFJVh1GzeW7kMGyU8//WSWYCHr4S3B8hMgZ7RqFXWfRV98KX/td63JALyzeKHZnI+9CVg2hb0ub7/9tsyYMUNGjhxpAm8EyRAX2CfiJ0A2btwoDRs2NKdmQWxgORcKllxByGAPRMmSJWXnzp2yZs0aOaFUqZgCZOmKFXJJjx7y1NixcsHZZ5v2kEGpd/bZMv3pp41IixQgD9w+Qg7s3y/DxtwnW7BE7exz5YLOnYwAeeiOO+W37dvN5vvtW7fK5a3bynkdL4u5BAv3hQhdtWqV6WObvkf2CFkkbGA/6qijTN8vW7bMHG7gFQoQ7Yj6v3oUIDrAGGynRrDNYCH+YEHDdFeCyiBFGdpyBRfaT7QVEJP4fUoqnoK1bt06uf76601wjEAZG4axB+S22277r4iYPNmIEfwNm9AR/N94441SoUIFc0ISlm6hLgQITsvChuwjjjgidxP64//3f/L3f/3LZEuwEb1Xt27yl379DitA8Mf7H3tMRj/yiMz8xz+MAPljE/p3Zm/FlddfJ9369Dbt5JcB8RMgCIRb1zxRWp9/gTz49GQjQPAOWH41ZswYc+QsMICIwmlgiPmwJOudd97xFSC4P7In2GwOMVKuXDnzTLjP3XffbQJ3vDvKX//6V+nUsmVMAYK68xcvNsfwYqN6hfLlpVjRonLhOefIgD595IgSJaIEyPfr1svQPn0kZ+8+ObpKFSlfqaKUO+ooIzKwCf2uv/xF1nz3nVQ5rpocXbWKlDnySJUAgSDFEjUICez50fY9NqHjCGds3jd9n5Mj/fr1M4ImYwQINlBhDZ63Dg8pMih0bGLq2bOnUXY4bg2nE+AYtliFAiQWQv/9OwUIBYiGKcngSZDBtiuBdpCYUID4M98VrlCABCtAUuE7IBpfHU8d7TcvNG3H+82Lw7XNDxFGo5NITJzPgOR3hjXWpeFoNaTZcP51165djRjxPoCTH2kpQDSuggLED6VkBNsMFuIPFjRMdyWopAAJlycUZW6LMq398EvoGq/qX4cCJBqXdMckYwUIzrtGyhEbjFBwYgHSjNhEdbhCAaJzIAy2mQHRMCUZPNEGC5rnpwBxO7CkgI/uX2ISv1j1FSARzaV7UJn3dZgBieYKMfkDk4wQIEfiM/YHDpgPqmCNH04GwMdQsCnIKzgyDGsYsSyLAkQTeh2+TjICSw6MDBa0zA2KKxQgFCBazrnClaBsx6WskHZSgwJEay3uzfZ7b0QBkkECZP369WapFTYE4YMw+GAMdufjd/hgjFdwZBiOF4sUIOPGjRP8eGXbtm0yderU+K2ogFfiaDochZYugwCOcYPKDbMQk2h0iYk/44LGJcygMhG2A5SCxiTswDIRuBAT+hTtmGXDlWQLEHyXAt+ICLtg0zG+/5AuwXYicCEm0axDYgArkXCwQWTBhnV8/FFbCh1MBLO1T+NTDycUnHLKKfLbb79JqVKlzNFzXILFE2v8KBVmYFkACltfmi5C1frFCnhBULi4whPAGRQmYQuQAna91eXEJBouYuJPIQ0uyRYgVuQPoHK6CJAAXlXdBDH5Ayqnl2Ahw4HMh3csGjIZ+GInzq7u3bu3+cCOtwm9S5cusnr1am5Cz8lRG9LhKnIJVjQ6xCQ1MAky2KYA8fcCruCiCSq1DpOYRCPlCiZan0IBorWW6Hqu7I2hAMkQAQJBAWEBlYXkDD4ygw+jQHjgozI9evQw6Z9ixYrJhAkTpE2bNjGtg5vQY0JkKjDYTo1gmwFU/LOVGqZnWgClwYQZEIqyTONJgQTI/74R4WFmAu1q1WTF9q3mi98FKbgaP7GOVp02bZrce++9Jlbas2ePVK1aVd577z2zXxbfcsB3QY4++uiYj4LvhOCbGVhpgmITbGOyeOyTT8q/Zswwy0Lx3YvqVavKbTfdJKfVqSMFFSANyleQud+vk5KlS+e+B3CZN/01GTRokIkL8a0KrIrBhwm9d8jvpbGCBt/GwDdUbIoNJrHaLSgmfu3H4kqsZ7L5u9MZEBsgtHUpQHRIUYBQgGiYkgyeaIMFzfNTgDDY1vCEosxtnmh9it+HCLOOO06KFy2qpZFVvV05ObLy91+lcKFC5oN7fuXHH380XzvH5wiOP/54UwUf4MMXq7FvIb9PGfi1hVNEhw4dag70sRUg/YYMMftyn8zOlvJHHmmun/n++/Lb77/L5ZddFiVAELxCqGjL4QQIPqD4yiuvmKaGDRtmvtg9c+bMwzY9e/Zs8674OrpNoQD5Ay0KEBvmiJivYtpsjLFsXl2dM9vRUBETYqI1oKC4QgHidmAZFE8oQNzmSUEESKkTTpAW770hv+fs07ovVb3SWUVl7nntZdm2X4yQyE+ALFy40HzJ+7vvvhN8niBvGTVqlIwePdqsHsHHnJHh2LJliznQZ/fu3WaJO7583qdPH/PFdGQSkCnBBvT77rtP2tapI49MmiTTZs40X0GvXLGiPDp6tBxXteoh98HXvs/s0EG+mTNHjvrfl8QjX3LK9Oky/b33pFi5crLq22/k1gcekMXz5snbU6dKTs5+ySqaJbc+cL+cdvrp5tJZM2bIY/eMlrLlykmr886TCfeNyTcDkleAvPXWW0ZYfP3116ada665xnwpfe/evebwInzZG+9Yq1YtwSFHyJTg96+//rr8+9//NhjgQ9eof8MNN5gvh+ctFCAUICoD9qtEAaKDLhkz2wwWKEB07AxuwzUFiNuBJX0KfUqQPsUvAwIBUv+t6fJ7QPsvvef1xuBYAgQnEeEU0A8//NAsQ8cSKiy5OvbYY01TkRmQrVu3GoGB7MMvv/wijRs3lrlz50qVKlXMd9TyZkCeGT9ePp47V8bfc4+p/+L06fLq22/LS5MmHQLr1DfflLETJsjnb76ZL9wQIDffdZe8/PFsOa5mTVPvl59/lqMqVjT/v2TePBk5cJBMm/upbPnpJ+nUrIX8/Z23pMbJJ8sz4x+VR0beHVOAAIv+/fubzzTccccdpt2ff/5ZKv7vHvfff7+ZgH788cclMgOC2fzmzZubU1YhTvCZB/wbog0YeYUChAJE61Oi6lGA6KD7//buBNzWsewD+INjSKZImZLhhJAhlKgMX8bKkLGIJCpKlL6KUoZUMmZKRESlRIM5JT5UGpCMUcmcikOZKr7r99RzWtZZe6937f3uNex1v9d1rnPO3u961/v+3/u57///vu/neUKAzIhTYNIfmLiLuohlCJAQINU8Yqw22AqnYRs//ShAynuR5b/iiiuSCgByrbVo6tSpMwiQO+64I7cpqZhMmTIl+b/FfWwP0CxAtnrjG9Ovbrwxzf2fykppm/rJ+efPIEAOP/HEVH7+u7vuSjvsuWeusqy9xhrpuM98JpUKyBFnf3363JhrfnR5OuWII9Mjf/1rvpfbb7op/fyB+9LVl/0wff3kk9NJ552bv+fRadPS65ZYqu0cEBWN+eefP/3sZz9LCyywQP6secNEhbkxTzzxRFpooYXSVVddNYMAufnmm9Pqq6/+nLkj06ZNSwcffHCuooQAmdEDRAtW1ejxn/NCgFQDLMh2f5Dtuoi2pxk2slDF0gOTECBV7GQyjZ/wKa3feBVc+lmAND7VxhtvnDbccMP0wQ9+cAYBQmjYM22vvfbKrV2y+1q1zPtoFiBv2XTTtME666Sdttlm1GFSWrBuu/rq6fM/fODMc85JF11+eTrr+OOzAPnBT36SDvzyyVmA/OPpp9Prl56avvz976XlV1kl/e3RR9PaL10yi4yfXXll+sbJp1QWIKUFS9Vi6623TnPPPXc6++yzs9DQXnbNNdfkyenarDwrcdZcAdGytckmm+S2rNGOqID8F50QIFWjRwiQjpAKARICpIrB9MJO3FcVslDl/kOAhACpYichQCa3nVT1Kf0oQO699968J9raa6+dX5IWK61Dhx12WNp8883zBPUTTzxx+u9XW2213J60xRZb5C0N1ltvvfTd7343C5DNNtssbbfddmmHHXbI1zrlyCPTCaedlr57+ul5boc5IzfffntaeYUVZjCIXfbeOz351FPpxM99Ls03zzz59yd99avpyp/+tKUAITjWW2a5dPGNN6QFFlwwnXz4Eem4Tx+aBYhKxVvWXCudrgVr6tR0+rHHpSMP+GTbFizfed9996Vll102V4NgY6uGa6+9Nq8QtuWWW+YVVAkQE/U9q3kfDitorbjiimm//fabvqG16pCKij/lCAESAqRqzJjhvKiAVIOuF8SyLlIZZCHIQjUrj6rQSDhNFmEWPmXGNxyYtLb6KriMJEB6OQn9rrvuykvJ2pJgzjnnzETaHBBEOouIU07JYsTvzGewa7WJ1VqUll9++TxB27kEiEqCSenPe97zpk9CP+7LX05nfOtbuVpiIvrO22yT3r/rrjOAaNL2YSeckL59/vlp5llmSS+YZ570wgUWSB96z3vSGqusMkMFxAXM7fjml09NCy22WFp3k42fIzJMQv/CQQen+V4wf3rD5pulIz7+iUoCxHUPPPDALDLOO++8LKaIDdzP/JhLLrkk/w5ORBjxZpJ+mYS+zz775CoIwaJqctZZZ02fT+PaIUBCgFTlFyFAxohUCJAZgQtM+gMTd1GFLFQx/clCtOvEJAT85BbwdY2dyWQnVcdPPy7DW8XPjfWcINszIheYhAAZ63iKZXgrIhdkuz/IdpCFsWcrq5h6CJAg21XsZDKR7fApY/cpLXdC74ONCKvacKfnBdkOATKazcQckA5HVLRgVQMsBEgIkCqW0gs7qZqtrHL/IUBCgFSxkxAgk9tOqvqUlgKkCZpB39268XFCgIQACQFSNUJUOC8ESAWQUkq9IJaRmZvx3QQmY89WVrH0ECCTm1jG+AmfUsUPhABpjVIIkBAgIUCqepAK54UAqQBSCJCWIIUo64+qUFWyUMXSQ4CEAKliJ1EBmdx2UtWnRAWk6miZ8bzJUhkKUfbfdxstWB2OhxAg1QALst0fZDsyuFEBqTZi65uYH2R7cpPt8Clj9ynPzjJLmvLOd6YlF1kkzTLzzC0vNFmItocLsh0VkNHij5XELGNs2eOZm8ZDp1x7pmefffbZqsFuUM/rFJSJes4IAjMiG5gEJlXHW122EhWQINtVbW6y2EpdY2cyCdWqFRDnzbTttmmBJZdM880xR16atvkgQJ632GLplkcfmb7jd1UbG+m8WWaaKb18nvnGe5mOP//EH/+Ynn3mmY4/1+oDkwWXwOTfb5dc+Mtf/pIee+yxNHXq1BleeadcOwRILcOs2kUiCATZrmIpYSdjz1ZWwXeykMpOCNQw4RLjJ/xsFXvvZPw8O/fcaeZNNkkzzztvSi0ESJp55jTb/POn+554PJO0Og5CZ5HnzVnHpTq6xtN/+Qum2dFnRjx5kuASmPz3Dc8666xp8cUXT7PNNlsIkCqjpFNVVuWaYzknAmMExip2E3YSAqSKnXRCoKpcb7IIsxg/4Wer2PtYxo92rFYCxNhZ8fDD06su/X76+7/+WfXrRz3v+bNMSddu+OZartXJRX79vvelZ558spOPjHjuZMElMPn3KyaKm9uuGl9+p1w7KiC1DLNqF4nAGIGxiqWEnYQAqWInYyFQo103BMiM6AQmkxeTOsfPZLGTOjFxrcmCS8TkahEpBEgLnDoFpRrUnZ8VRhwCpIrVhJ2EAKliJ0EWJtZOgkC1xneykMo6x09gMrltJWJytYjUKdeOCkg1XGs5K4w4BEgVQwo7mVhiGWQhyEKVcRgCZHLbSQiQifWzMX4m//hpfsIQIC3e+eyzz54WXHDBqjGnp+f97W9/S3PNNVdP76EfvzxwmfGtBCaBSZWxGnbSGqXAJcZPjJ8qCISdVEVp2H3KQw89lJ566qmqcKWhqIBURqMPTuxUQfbBLXflFgKXGWEOTAKTKoMv7KQ1SoFLjJ8YP1UQCDupilL4lKpI/fu8ECCd4TXhZ4cBB1moamRhKxEYq9hK2En4lCp24pywlfApVWwl7CR8ShU7aXdOCJB2CHX59zGwY2BXNbmwlSALVWwl7CR8ShU7CQESdhJ2UhWBsJXxIRUVkDrwq/0aRx55ZPrgBz9Y+3UH/YKBy4xvMDAJTKqM67CT1igFLjF+YvxUQSDspCpK4VOqIhUCpDOk4uxAIBAIBAKBQCAQCAQCgUAgEBg3AtGCNW4I4wKBQCAQCAQCgUAgEAgEAoFAIFAVgRAgVZGK8wKBQCAQCAQCgUAgEAgEAoFAYNwIhAAZN4RxgUAgEAgEAoFAIBAIBAKBQCAQqIpACJCqSMV5gUAgEAgEAoFAIBAIBAKBQCAwbgRCgIwbwrhAIBAIBAKBQCAQCAQCgUAgEAhURSAESFWk4rxAYIARePbZZ9NMM800wE8Qt94tBP75z3+m+++/P73kJS9J//jHP9Kss87ara8euO8xrvyZeeaZB+7e44Z7gwB7cYTd9Ab/Xn9r8Rn+nmWWWXp9Oz39/hAgPYU/vrxuBJAnRPuvf/1r+tGPfpS22267tNVWW6VDDz00LbvssnV/XV9c7ze/+U1accUV07/+9a9MhEJo9MVrGYibKGTomWeemW47l19+eTrssMPSRRddNBDPMNE3CRuHsXXZZZelpZdeOi255JIzfO3TTz+dZptttom+nb65fiQ12r8KGLEfPjlEanu8JuMZ5f1HXJ7x7YYAGQCLf/DBB9MDDzyQXvayl6U555xzAO64+7dIeEyZMiXtv//+affdd0+PPvpoOuSQQ9Kpp56a9thjj7T99tunTTbZpPs3NkHf+MMf/jDdcMMNedNKO13ffvvtz7GNv/3tbznDNvfcc+e/99133/Sud70rvfzlL5+gO+q/y/7+979Pc8wxR1p44YVTsY/+u8uJu6ORCOKdd96ZjjjiiHTCCSe0/PI//OEP6X3ve1/+Q8Svs846adNNN530wraQxdFE/IEHHpgWXXTRtMoqq+SxJNFx8MEHp2uuuSZtttlmadddd80CZTIdjXYUoqP1my24XHHFFWnllVdO880334gmIGF03333ZYG/5ZZbpte//vWTyVyy4DKGhsVWRqsSN2PwyCOPZJ9x7bXXph/84AfpRS96Udprr71yjBoWvBqNPQRIj4Z+K2MrpbmSbdtxxx2TP37+f//3f5lcP//5z+/RHff+a0smUiahMZtQHF65Q3gRbIcffngWI9///vfz+R/60Id6/xAV76CdM/JMV111Vfrc5z6Xtt566/Ta1742Pfnkk+mxxx5Ln/jEJ9IxxxyTAwHxhVB+61vfyoRyoYUWqngHg3ca0XXPPffk4O85d9lllyza99tvv8F7mHHcMTsgUN/4xje2vAqMdtppp3T++ednm/H/K6+8MhFsH//4x7NoQ6ZXWmml9IpXvCKdfvrpWbC88pWvHMdd9ddHjY0qLRBa0a6++ur029/+NoswCY2vf/3raa211kqf+cxn0i9+8YuEVLz//e/P/tm/jz/++IEkE/BAoAko7XftDvby8MMPZzuR/BmGo1QMR8pm77nnnjlmv+pVr8ox5+677842Y3xJgr373e/OySAJo7e97W15jEoSDeJRdQyJxY7JEHtKksLzaJ9SLXast956z3mF4rCxsfjii2cfwYeqkPKtONzPf/7z9MlPfjLzOvH5pJNOmi7cBtEWxnrPIUDGitwYPldI5d///vdshDfddFM655xzMoFcYYUVZriigDbvvPOmbbfdNgc1//7Zz36WHf5HP/rRgXVcVaFrFhbNn3v88cezk3/e856XSYHzOYWf/vSn6bOf/WxuI1lttdVycDzvvPPSF7/4xapf3ZXzZE5uvPHGdN1116Unnngii6bVV189bb755tMFVqMQkblGsmXYrr/++nT22WenD3zgA+lLX/pSuuSSSzLRvvjii3NWRaA77bTTcnWE4z/33HOzDWnTGuS+08Z2mOaXxOkTWsstt1wmiF/96lfTd77znfSOd7wjY7XBBhuknXfeeSDJ4UgG2So7za4QILbw4he/OH9U1u1Pf/pTWmaZZfLzb7PNNum4447L2Xs/33DDDdNtt92WXvjCF2bh9p73vCcTKee9853vTGussUZ673vfO1DYdVIBQw6MQ+NIlRlZXHDBBXOF0ZjbeOON00YbbZR+8pOfpB//+Mfp85//fMb1Yx/7WBZy2juRzS222CL75n5vt0B8VHE8t0qqKhe/8Na3vjX/QYz9H4n69a9/nZZaaqksSiQx2AMxChtjTZJnMh3Gj5hRdY4GMYFEsgHvnoh7zWtek8cW7Ah8iSDJIr5YUuRrX/taFiaDcJQ4fOaZZ+Y5YfxD8wErsUWMuuWWW/KvJYL23nvvzFv4DzHJs/f7oVp+7733Zj/AB4wWM8UVf/hLcZd/NUZuvfXWtPzyy+cW8CWWWCL//YUvfCEnCsVlSY1TTjkl3XXXXektb3lL+uUvfzlQvrWudxgCpC4kR7hO84SjT3/60+nPf/5zOuqoo9L//u//5sFJaBjksmwG71xzzZXe8IY3pG9/+9uZUBn4Bi/Roo1GNgVxpZoH+WjsjVSS9P8111xzhkcqvRDexkEAACAASURBVNV33HFHuuCCC9JDDz2UHZ0BrhcbUTK4OYp11103Z2sN8q985SuZPJgDIgAgCv10IIDK8Fo5OCYYcHgIAPLENjyj59VOpnQvO8k2EAaf57zYwhlnnJH70/3bcxMmWveOPfbYjKlryLi0q6z0Az7e4x//+Mfpffbf/OY3c8ZQdr7xKM9iPAkYhCfR4bllq3fbbbdMCM3/YVsCvsCPZA/a0fjeWgnz8vunnnoq/eUvf0kyscjQq1/96hwcf/WrX6UFFlgg+w82I2Mv8WEcIaDGDwGsLYu9CIzGzoc//OH8O+KEgG2XFOglrlUrYMS+9gf+ADlQGSXCjButEMQaeyIuJDHWX3/97JOR7mnTpqUDDjgg8eOLLLJI+vKXv5yvI8GBuLDFfsn0ek4JKxl2SSuLCRQ7kbAhqvhWlWIVMdUuLWaEBpFBvBsz88wzT05kaC/73ve+l/2s2CXhgXQT9f1sF+1s0r17JvgcffTRWXgZH+UomKluIY7O1TblvFLNYCNEK7uS3RZ/iq2oosmEq1ojos476KCD0je+8Y2e+uNGn1LaiMocylZJKslSGX9+gN1oz2Rf/ArSrer69re/Pe2zzz45ofq6170uZ/y1Q+M7rsm++uXwHsvcHPET/yIaJRnYPV7GPzQe4pIYIsYYU+Z88a+SXPyq1jM2IF5LVPC3eIsKCfzmn3/+jCGfgaf4fljxz7PPPnu/QNO1+wgBUgPUDBk5ZGg333xzzmKPNN/gu9/9bs7Wc+Acv+y14IaIIosUtLYIBMLA1gqhhOd8zl4QkJVCQqnmQTjala09gwCOQAv6AoIgzln5mawJZ8A5FudNVOi7VukQKP1eSVsWQjCV8ecA/HHO//zP/+SfcQD9cKiCcXYy1RyXw72efPLJOXPEGQpayLNKmRIugkR0EqT+7blf+tKX5opIESJsx78RcXZ11llnZeEhG96qytYPWDTfA8Irc3bhhRdmkmTMeGZinEgjRjhr2XljQ1DfYYcdMkkyDj033ARVY4aodz6iJFu79tpr9+NjJxU992pcyyzLojavQNVI9GRWiYapU6dmmxE0CQjiVIVMb7EASbQTq7LeCCSBC0f4rLrqqrkyCF+kwphDppAGeAu2xiAxA+teE83RKmDuWZAn6GFXKmAytsgen4koCPb8rsQF/NiXc4kHIpYvRq48r2vyG0g4jIw5uPLvBIjv4sdVT7w/Y9YY7ubKYSVDyz8aN0iP6gZx5L2JGXxg4yFjjxAiy0QmW2AjyDIBa6x4XgkeFfg3velN+VldR3snrAgVmW3xbhCO5hbnVvfM3o1BPlT1QjzxrglUFQx+WwxRWUSwCRbVMPjxP3y1RIl4RhAjokirc17wghfkrDp8VRwRUXbVzYOtSG6xU77B/RofEmBHHnlky1vhby+99NL0u9/9Lo8XY4W9E+L8s+SWihHhwRbgx7Y8P3LuM7CXPDPu+uEwrnEqY4MNGzeEh+f0rlV7jR/vz3PgHbiYz8DNeMBLiPs3v/nN+XMOHE5lg41IZhg/khUqimxAQpH/8W/JDWMIZgSrBMCwHSFAanjjjMdA43hkrQ042RJkgLEhA4KTLIHJZ4IjMsi4ZdUMTplLfxMwHB117XrOk6Hk9J0j6yQ795GPfGR6W1YNj1DLJWQOtTBw3ByybAhy3OqAD1w4Y2ICCeLAODQEiRAj1GDh+WXkEAJCQpAgUHwHR8E5cIYcOqIpO4WwC6acKlLCYRj0/TIJWyAQvGTUZEeQBytZERZIknYhzy5bT2Qg2QKewKfK4/fIkIBIrHKKiDuMYADP0gbi84iGYDoIh2dgO7JPqoDGjPcML4ECaTYGYGL8aLdCqGSfkG32hySqGAouKigCAaJVBF8/tqFp8WGzqjaCPoFlbPAnSIPqGLEhwJWA5Tzny9gimyo/BAjf4fnZjEBHeLg2ksl2jB32QwT7DAHH9xiXxp2x6TPGFduU8TP5uhtH3RUwczU8rywn3GQfiSrjiOjnX7RMsA9jhM8tApg/Z2tl4r7PIV9w9C4+9alPZZHCN/ei8sHfGi/ij/FuLBgXhKR7JCL5PiSKr2EPEhLGkmeS8HGesUac86EEmGtIdphnhpwSW3yz6hiCafK09lYJjl5XVRu/v1TLR8vkN9qw90ZswgYGkhPm0CGGKkj8K9LpurAiVpFo2BgfxqZ4ZGwaI2V8wb3MReTT2TQC77oqCLLfhCL76ubh/vhGftU7ZPfIMcHqZ0Qn++ZLxR8JLd0DWvDYuzHC3mAguSP2OgduEid4i+SGygfRL5EGP35ZgoQ4R8x7fXg33qGxzQeKL+KKnxPffACfyN49k3dFkBATxhgB7m/xBH6EOQEhacZG+AVJIWNFjFJt5s+NK/FMm55Ej3gOP3j1ehz14p2EAKkBdQOOQOCMHYxa1kimgDNjgAa07J1yP0NFEpEsogQZorq1zQiAjFv1A6EUJAkZpErwRKRk6RCDkjmv4RHGfQkBnvoX1AxkjhYpRq5lFhAoZJCTNzhlhQw62RNOTEbI8wgGsDrxxBMzYeDYiTdkysA22AXP0kuq5UgZXKAQEGQeiBVYyvK4H/g3T1wf9wPXcAFBjTjijAQi75VY0FvN6ZVSL0EGI05c9UuAQCoEORksQlZwJK7YDYELB44NQYE/4drtbNtYISqCQ1AzFgQ9LYgErmyzjBHiWLLRxhjyXQIAsUXEwbIIWkFFoJGxEmz6sdztPbpnfoFYZg8Cn/FiPCEBiCU7MP4JBs/quYwXwZHdIwZINttCdGT+4eV8gpyAMR4RA5k7gVDVUHYWqez1Kk4TWQFD1BElZItNaVEzVow/yRIknJDgU4w/wrasVmNuFkLST/M7kF6xR9KF7fCNyCRiZE4Km+ArxB5/85GysM5hS2IWoqjFTlsQv0ywGSNsSyyTGCJIiRjVAOTeOJRcI+57cYyUySew2HzzQWgQmvylWKpaLh7xvcaEMcJviq9isvHgWYkFzwtPhB2G8GM34ooYR6jAjc9RlUfO4SwOwpK/JuyNS0KulwfbZ/d8iXfHL2jp5iuMCVxDjBVnCA2xCHlWPXXwFTAhqjyfuOTwGdfgb/kj9qgaLe7gNvD17HhRv7TASsgY0/ibRA+/w6/iD7gHMcEOcAtYSeqpdsALL5Gk4Ke11hlfqtZiFhvA1XAiMVl8EotVwFTn4/gvAiFAarAGhqyMaQAiygIUB85BU7ycvaySQeyPwcrQEWoBzqBnxJwYEo4UcP6yBcgXo+f0ZCsMXpnIbmUjq8JD6Rus7rscJetIVMjuy4YIloKkYCbDwsnJRHhWzylgIt+cITwFRWIDEfXsHEaZHFtaD1yPc5fZHeTVWGRdEE0i1bMQGJwZh85JEnjEKqLBsSOMAuBI2Xx2KVhw/oTsoBzIAtGFSCDf7EImFlmCiWcR1BFEwdQzIhNIBTsRFLRAyFgZUwgmMsHm+jkAeB6iigAR4P3tvoklBNB40QagwiHQI1LeMQw8q3Egu8iHqAAilkiXQOqzfJPfETXGDjwQb6TCuGxuAehVu1W7Chjip/0MmSGYqlbAjCvEiD/hW9gC+yjCln/ikwkRWBiP/Vgpax7HyJIMvrHCL0hGINXGA7GJbHoeJItfFZdUyPhSOEhQlGoY/ymWIZ4IuVZGpJVfMu5U25zD1iSTGhfM6KZ/GSmT790hi2IKkc1Xqg4S855fPBGXZPr5FIJTcqKxLdP4QELZFXxUGQlXPxO3LXYBb5UB49T4kkxzjvFaJrH3474fJbkjUeV+EWX2wlb4DjyDT/B8Knvw4lvYFTvSgWBuHVz5Y9cR+9kKoepa7EQ11+Ea/Zz44g+Iaf7SmCBCCEqJBkKS8DQW+ArxVsWLAOF/zHkRa+DFDvhpLV2eN/bjquYNQoBUw2nUsxAm5TrOCXl2yC7KrqhoGNRIgwFMJcuUcG6cH1LJkDlAjqusJ0+0yDB0s5d4PFAIbBy15xa0izgoA9xKVUg1h6cqYYBy/DJ4iKbsL2cnY2DwyxYQYuYuOEepEkmSkSNEykZgg1y2lGXyPIgP7DxnWZGImPNzFSIkq13GviwP2M7xDQpegjuy7D0T6EgSAm0cCX6CgLGEVCJbggDn74ArktS4vOUgPLdnlJwgvtgFn8CvID4CvXZF7TACJUJJ7CM+CDkyICnBpyDUiCLfQcQ4Z7QDyVSpRCL6AacqFTCtQsSCdhJ4ID6tKmCIkIQFHPgXRAKhkAlHSvXtI629aJ8aj79t/KxKRxEXsOBjPTex6t0jTRJAbKJMsCVMkCvnaneV3ec7jCW+SOwZqVWGram4Ifnt5pVV9UudYtEqky+5Z0UiySz+wXv1f76Ur0CeVQEd4oxrGC8INb9SDkk/cZzNEBdikDmGJpUjqHDyeWMTKR1P0qvb400mnj9hLxKa3j+bIF6NB2MITvCQuDFe4OHZ8RhtVKoeBAmM8RUVU0kMPqocY32usX6uU/sp57NjcVayRVu7qo2YIrnheU2yh5lETuFtOlv4WtzGOXGMHYEQIGPH7jmfFAj1UstMOvTlIxGytwizzKxAoLxrUqPfCRYGnCwcgt2OKNR0qxNyGSVnmRDOnONStpZhVb41gOGgh9TfjeciSciDShGBpl9dBUnZUg8lUq6Vqo5s0kj7iEwIIBUuqrTL8SNcSIAeUZnG0daFr7r2uq8vGexeZbIrQDDiKTJLiLQWBkRTRRFZMMbKyl7IevMqJeP5ziqTVMdz/XafVc2QlfS8Du0eyI3nZBvIj4opEoA8ytBJVCARqlxsZ7QlI0ebwN14b0SvBMB4iFW7Zx3t94NSAWtcRWc8z1vHZ1XBCAa+0xwPhFn2XmYWMfdz7XmSP1pJVMQkjZCodnZTRIS/2UTpWXffhTB2e+y0yuR7ZiJLBYRv9dyeVWwxrmTotc0Q7OK0pBcfQ2QgzxaRgRFhL96IZcYC8s3PVB0PzSRaFcDPJEm6TbBb2VbZmJe/EYtVOFSRdWHgJ9rxxF0xHGa4iWqqWK31TBxXea969DMeeJgKmXevoswexBrJLn5WJUjFiyCtq32ujJV+bAuv+k7rOi8ESE1IIs7aZChnmXtOXSCQZREEZHK1iRjAZfB26oz6mUgiRsryHHsRYQazwS2bInMLF5k1jliLjFI/cWEeh4xCnb2h/UQOxmNiVWykapaRCC7L2yKY/XyYu6LtSFYKIUUE2Ehd/fdVMesmRp6T0JCYIDC0baooIjB8hwoFwaFagQTKvrYSHJ2QweZzzUuSHZUUUKXt1dEvFbBGfPqZMKgIIdqlDQaJluzRWoVMsRfEe7SWskZfM5LfkUQzB0myCR4SbyNtWojEGrfGsuuZV1PX0SqTL/66nzI/UKwpGWxVL6JLhp+wkM0uqyu6P21pEmCq9GNdKbHYCvHCdxFCqosqKJJKzavvGWvEj7FeF7mtgi+uwtdI8sn+w8G9an1U2dCepmIEq7KPUJXrNp8zKHiYL4en4WuNR5XY2w6XThKG7a41GX8fAqSmt8op6yVEvksb0VhWHWL0Ds4d8UDaVRFaHTIzHFsd1YE6YFDWl3Xi+JV3OTltNIKWdjTkyWRzjq0OIlkchECnROraIx36Or0jK5FYyUabS6sNlerAodNrIJGOdu1TztFeJKjLdo5UKYGLtgxBkI34jLkT2iVkegRCE1DrcLCdPmu3zy9Z/4Kvv0d6bntfaNnQVmDMIXTdboFECrTPEOzsgg+oIharvssqVRAtF8aqFpOq1637vfaiAtZJgkeGHaHVymVcIW69rmAj2XygGFT1vVU9z/u1GIj5aFqFtXRJHhHBWmYRWXP9zLtQZUBciWaEXnubOEaANO8YPR67aZXJ136F9GvHdA/ej/dKmGm/IsBUSSRjtBdpbR1rLCr20grD8jNYEfPijiq3OTPmr5QFa2Ck8tDNFkCCS7yU3KjzGFQ86sSgyngidrWvSQxoZxut46HOe+vHa4UA6fFbGW3Q+p2KirklSsAcFQcuW6J0aiKujE8VgtKtx+TY3JsApWw5lhV1mgdxu0EtmAhGJvEKkgY0AmOgqzaV9c3NpZDl0HYAV2SzH3dmHS0TKfNo8qRWpLIQgQqScjEBI7NnhQ7BXoYNmTRhTkugtgV/9HvLDE62ozHjNtKzaSvQSkEU6/81/8qkSZUWmTCVPLZBrBJvBEEnxLQuTJttvpWQGum7nFuy9e02+NSC4Fmt0mMCrTFS9oOwIES7sVfX8zZfZ6IqYNpOvFeLVni20ZI3fInxoiUFYZBcsdxmWeabCJHIQHjNN+iFYG2Hf3l/I73HsgFdqQiOViGRRDIPTwtxOUoFznw+JFo1xJiSRdfKQgyZ4Gwel3OdV9ek5FaZfBUf8ce7YPtaE8vE6nZYtfp9Y0JwtM97NskdtsI38zESPUSZOUjm9vlb9cXvxXRVBv6ZqOumABkLDuUzw4wHf1CWI5eYahaujWOMD3auJCAbUI3kN9iHFmLcSKzBP8w1qtreN55314+fDQHShbfSyaDVo+sPoSHo6V31eZkdq50IdCZJyWCXHUh7QZAmAjbPof8dQW73TIgBYo1sy67BQ8XJRFMT3pEq5ABZl0Xm+IkUDt9SjSozMrzaTXpBsgQswkFmjBjwXgXqxqPxvjwvB4gwIIra1bTImBcg88m5EV7mBSDWsrMECoGq+tNYlZIB1BY4nvL6RLz/qtes8r4KsSLYEJKy+7WMk7ZA/e9aI/SBw4EtIZICgcyolhaYIU7dPtrZfidkoGzwqT++7Feh5xseqhzGCjGmLRJhI2QFTPbRD3s8jBV7z+fZJCf4AfMhPKOxgviZT1SOgjesZPNVF7WTSuzADB58BdKBXMtow9OiAGxEfzyfxbeMtX1nrM/Z7C88y2giorECRohJwjRiUa6nxUlFUAKpkCNxR1wyJ6nENALO5GW2gkibt1dWeTS+GndVVxWH40gtW51iUHcmvwj3dsK03CffQFCZP8GP8zmesayspfXYDuAqY+Kan4vZWitVYwgWbZWESb90MTS+g2HFY6SNPb1LmBgHjQcf4+f4hyQFW2BDOi38TKWDH5EE9DOcRGJLq62EGF9TFtXpdAwM+vkhQGp8g9QtZyzzbqKW1TdG2miIgXJYDBIRECA5bJUDq1Jw1JwbQs1hI88Us15N2RKZfQrbpLkqhKzGx6zlUnqUkWhl/MaAaYUJ2asyT8bARdRlCgxmTltmTaDzb9kDLSuytVqqlPyJNv3OHD4xh1RpTUCwvA8/VwnRIiajWZXw1fLg/7mIicMmjtq/QlByf1r3THjTzkBMeGYT47QTeHZkh/Mjpqw6wiaQBM/vOnBCKAQ7wVlPM2KkzQAeiLhVf7T3mNxNiPX7UcW2iQdjwThBgow/bTFsApbEpuytVjTvm8M3jhBN9uOQzSbW2KJAISCMd4WburAd7wafWmKQQu0fDhVBfgoxQtT1P5tsqYUSmTZGfEZFaBAPAsG7Nc6t6GQyP1vwrvlVfsICGYSYCpDz+AzjSmaSQOVXkUP/RzSNL2OQYPVzfsWGjVob4UXs9CuJHOm+iAwrZVl2VisQnyQJQqBZllQbJzsoS1cTWNqI4FTiFz9tnxRti/y2z/qMmGb82GcCfpJpKiewH2lz2m7ZWuPiHKPN6ymrH/Evqhb8hyQFv62NWLVQAkiSg8/xnDLeKvFskC9SfZEw8jv2Bx8HwcaXI6L8TS9iULMAb6yctnoXw4DHaBt7ih1aDEtlix9gC3wCESKu8CnsQUWdzxC7JQr9zngQVyQ9+aMyL1jSotutvt0aa+2+JwRIO4Qq/l5pv2x0xjkJ7hyULDTnKwho9eCgEETOSCsVByRTgggwXtl8GXGZbOVu2RKfV7Zz+B0H7zMCB6EzCIdBx9Eizg4DU3nepNvGAxlCHgQ/jlyWUUbB0oAyBjL7SKIMpDk3cBcUZCcQbb2+lvUl1mDGYQgSRItMJuED57LxEhJRheTWjTExJHMm0JdDhUvmWVVH1tHvBSpCyeokbMjPPRcBhiwIjsilLBqixd5kbgU8YsaSi66nQqJPHea+R6YXmejlIeAJ6gRYlSqhc717gZCAME/DH+LKNYw3SQCB3ZgRMGS1kSFBQbZJwEA2EXC2ZRUyh3Y1IkV2SgYMcTW2jE/ksldH3Rt8woVdEaoOogNmxKjxZPzwLcgk4V5XtrpO/EYiSmUc85F8B6Js/MtKWrqZAOMniFOkEGkgKjw32zEZ2HjjvwlaAt4fY7Isy2lclXkEPmdMshVjTOtat22ltE61mz/GplVRte1K3PC/cBFLJDv4IX/ggTw1VtjL7uIERBEaBItDFcU8C35bsoTvhjkbs6SpSdYImuqtcyXPxjrnolMbquJTGq9pbLh3fyOLKqMw8xzih3Yurb3iOEFCkPEREkees2zkyIYkPeBRVuKS8OFbJITEbYkRGPu/2NiNI/Boj/JIG3uyd79TQSUuy/4nZW8lnMN7lCzC8Ywrds9OJPxU3CUIxSaJZX9rV5fIcD3+YxiPECA1vXU9nRw10lMO2TUER/8nUqjvmPEJggKaHZ0FN9lXmXvZIQ6eUQpuHByDdg1EAfmUbUPCkUiBr5+OkbI4svSeWzkfwVHlkRGAi8DJ4Zu7gCz7gxhz4MifAW/lMPgiCaUiov+XoJC1g6csnOtoP+IA9AILtgIf50GkCCTupbQQdCsQtnpHhJPWEFUMhIBYINBUKIhRgoHgQp6RKSTRgRwIZEQJEcseBDKOkB0h1rDyLtifygqxUjaE6mWmrRkHgZrgRnwa70t2mjhAGlUDkQKBGiZIpOw0EkBMIsscvb9lnDh12STvXXUNiSZQVBplmggQ/bhsScKAgDOpX9aboNN6ZT6ETKXx2uusdt0bfBoDkht8C3Ghelb65JErgs5YFFBLRruffEzzvRClxjEbb7QhY0dQV8EwXkrWkm9hX0SoJIbMNT/E//Ip3r9KmESJShHbYF+EO4Gv4mEsuj7b4WN8B1udyKO5uj7aXApjnRAqG+55FoJTdlfc8Yx8qknI4pVxoQpEkJm7QahLZBhDhErB1fWMWb5W7EKwnYtc80P2BZEEkvE1vrp1dNJ5oN3QOyOU/M3mxRxz5pBCsUNM4TesCqUKCDf+g48gwlR9+G0iS8sVv8MHy2oTp8YOm1D9kDiS2BDTXUPiRwWIsBHfyh5GdWIVeIwPzVYbe+IYfKMuAokNdiA24XXis6RHidd4nNghDrMBVVfvviQYxTOJDOIVFzJeBmHD0/Gh2vrTIUBqQJVj5nQYFCMtGSOOh3PWWoVwyqL4P4MVEAU1AoQTkz1BNvWGcvjUNPJNPasSyMggXhy7bFPpuUU8+/UogQvhQZhl4RBtjldlR8BCKGUcVSQ4Z5Uj/yZQtEkh6VqPBAXEHB6cupYR7SLWeVfR8DnYuxZyJdPmHA4AEe23g82wAfeJ/LhP2VZOzMEmYOP/hQR7bg5LVgVZYl9wUh0qGW2BT0ZuEA5VIAQAqXOwfWOE0GbXntG/OXy991oaEULv3O+ITWKCkDB2kCmBvZBr4h25QpacI+uNJAgObAWBJHSUwuuaGFs37nVu8CnQqR5JZiCiiCkSqQqoHZI9sq9+3C2eL1EJFbwtJS2RgCCzCyJbUsZRfA6fi0TymUQuwUFYOdf7RyL5IH6b/fFRrsXHyF6WVZ1kjZ1nfFoIpBfV0ubqOnHBJ/IXxgySzM4RHe+zzOsgisQVrSJ8r3mEMvXiB98LM8RImxQy7fB5YgRJJrxaZWYJOske98BeRquSTXTCo0rngeSEKg3SJ0njj/fIFsQT9l/aUfkUJBMuYo44K6khxkiewU5yS2wqu6DzYwQhvNgI4QK30fr6iR6iDbGt8wg8xo9mq409cTWxRnKKwMNLCH1jiq/hT1S2JADFZRUSYwz38Fk2hwM1btY4/jsd/CuEAKnhHXKyCI7sGsOUFSqT8zgufxycnWCHYMs2ycQj0bIj2rKQKAFCa5a/W+1Gq4wnWyMbIyPXL4csvkCGyMlWN/Y0apdBFkwA5qQ5a4pfhsAfuHHqgppng6FBrDQpeBjAcJOJQp60IAkM8DTgBQrzJcrE49EwaRUQe0Eq3COigzSUdgZkCGlGkok05BhW8FPKLxUkrSKytojIWJfw67QcPxF2JlgKxNqkCEjO3bhhQ8YTp01UsCfZeDYk0yTbrT2CQFfRYCOlHQ1WhCehwq5gKtOJGNSxaWG3baWuDT6RTRjDm93Ar19FV7OtIc8Egj8yz/yrqhmyiGRrLdSCyB+U96MyIsPPVtiBTD4RIvsvg0/EyHizCeOKcOVbEAmEVKZcRbLdhmvdsIdW1XUY8bmq4+6/LFAhG69115jhV2RdYYE8EfDGhvZUiTD4+JyKT1lpEWFCnPhY1bdODlgUPLpVXW7XeUCYef/IoeqxOS8W4YCTd88mCAn+QtyR7JPZZh/GCvEJI9VmYo549XPxqyyP73pldb12scfvJ7KqGnh0YrEjn9u8sScfwxdLYuAcuBl/KplM8Es+68iQMHJuWaFypG8oi0E0zkHqh5hcD3rVrxICpDpWo57J8GTa9AEX8o2Qy5rI1lLLDFX2VoZRQFQpERg4fRkYgVbGtxVJLg5O8OAcZXVVRfrhKIFQlhC5EfA4a60OnsXEciXL0h+s/K/0LCBy+jLTRAQCKmOpD5lA0yKhXxu5JNI8u1VYOHB4+B4OAaYlC1cCYPNg7rfdaL03doFQswF/w0smWkZNi5E/xIZjpMUMqr5/hF5VzTvql0NGiAATNFVuvFOtchy5sSGDiAgRozKF2vLKZGp2IGur9QGRNs4ciIR37bNVA30ziewnW+m3DT6L7Ux0ZrvZRiVqVDT4WN+tasjn8qXINLtu7qUnbP3Minh8TKmEaHNVeUQk/N0oTBF0VUeJksaN45ptpFtkobm67v9iBOIiS09sWJ5dQoLvdO+wUu3yzMQE32lcIc/+7SBQjBltjRIhKo5lcz7JDn/8fqQ5cJliTQAAIABJREFULY2rabXyJ3yysTqRc4g66TyQyBCHJCv4DgKWvyFA2AVbIWj5Xz4EviokxImEoOqY7gOCtsrRDWHafB+Djke3fcpo77HVxp46EiQn2IeEhc4D9i3+qJyWZGpZpIENjWYH/RiTq9h2neeEAKkRTRkRTooAUbalirUEybiZgKdqoc2oanaoqhOrel6Nj/qcS8kCyBrJMqnklLXynSQDbWCqfshEaQ/i2AkOWf5yaHkg0JABgUCWSYBo1WKGoApwMugGOxFTRF/JwvX7brSeGzHSgoQoqOCYq1B3lr7YhsyelhstThyo3nfVFmJQK0evbEj21fP7Y8yohCFS/i0jTagTYqpgRAXbQCQQBZ9ptRN4VTsfFFvp5gafSIyxqNVJRaGV8G20FRMznTPRm/ARC9678SLxog3RPDnCg7/xM76gkTBrN9Mqg2Q2t8M0k52S4NHSZHwYF43P1Cuy0Kq6LvsuhmiF4gfN23DwH8i0lix4eQbzpPhJBFvFXDVe9ctcIOO+OYlFeKiMEGAI1mhH4/hpPq9MtiZCJurotPOgLKog8UWAwEC12TtXUWdbxppY1diG2Mo3Vl2itltCFcb9ike/+pR2dtnJxp5sSZcGu9fJ0nw02lC/x+R2uNT5+xAgNaKJDHFkHL7ASGyMtrpBqzJcu9tpXEKwaoa33TXH+3uZaM4dwZWxl2mTWSw7wetB1idZyIxVqbQNIAiyS/oiEW/tDqMRysbJkEVwlJ+1ChLlZ/24G+14MS+fH004aB2QmYGvuSIqZ4JsCbCynzLJJr736lAFUvFBCpApxMkEcEKVIzdB2r+1YxGj48mSDbKt1LHBZ7t3jOAjZnAm8IhVcwHKpH6VThk/Ey8Re/MF/A5hVZGdyIMgQha1aLIPZFrbFVtWAeAL+Z92q1BVIYT9RhZaVdcJi1L1Ic6JJi2bxpOMrDYQIoVIV2FvnAfXagyV9lVJCf8mUhpxMP+GH2lXiXWe+CcmGLsSSRN5VOk8UBEi0rTwlV59lSA+ReW1ygTgqgmaXgnVgnG/4dHPPmUsdlnsAE8ZaeW5QY/JY8FlrJ8JATJW5Dr4HIMsGZOqoqF8pt3yilqVEEsZvl7tiG6CHwePAAiEyIKVIIiLsqyh1Xaq7vY61naHybYbbSEK5gNpxdH/Xo5GEgEvmWikAenQYoKoCbYqcqpQWkuQEyRfP7NSsom8E00c2w0TVSD3hyiVCpnKYdVx0irT5GftqoyTzVba4dxIvLXasCXJgmJH5pYhjbJ+ZXnmsnKaybuIBGFCtKposi9ks+yKXZWgtbvPkX6v3dJ9qHzov7YCIH/Sbh5Lu1ahQSELjdV170piS/uhVhCVY6tPWVig3WpcIz2vCpC2RxURY8P4MQbL+XyHOSXal2DqXFVv86skCvh+WWDz9kxMJ1aJU9XxiT7adR5YvENLWpU5glUEaqvkTz9ltbuFx6D7lHZ2WThYo0AdhpjcDpc6fx8CpE40/3OtRgde5fKCK+JujsRIk4oNBqszWCZQO5fPKPmZI8HZ61cWkCaaCIz0PHomZSJlyRAb9zPaHJXivJrJYtXSdrmPybAbrVU1rJyC0KkWyRw2HrJaiJ7qmsmxMncqSP5GDEyOk5k2GVLGUauflivX8nvE0co2WjKQF+1XWp1UqFQfZL3bEfYqdtztc4bRVurAmABhCyocZcU+FTKZa5PVzc1BHsseF0Qrm5LkMN/CxF5VTtU0ArJco457q3KNqgtJTCay0Fhd5/P52FJhHgmzkbK0hKX2MgkK75p4IUhVQlVOGo9C2rXXWiSEyLEwhjY9SQyiRCVblZLNmPReliVVJRMTJnqTtU47D1oJiHZ2NyhC1XN0A49mvAbdpzQ/T8TkdiOint+HAKkHx7ZXaVXWLx+y2oh+Xtm9snoCoqitCQkwuGW8ZB0Fe8uMWkLUKi0yYP7oPTSRuR+PVlmlxlayYd6N1nv2PssynyZJanshLtiFZYu1CXi/so96tAV0wV+7BGJopRYkwHmuhxQQGSarmjyJJJr07+f+rb+ZzWihIWKJuF5Vz6rYa9jKv1FqJkFV29HYEnGrPUl1yUIZ7MQE5UJAtanIpJsrgHTyOzJ/qpsSGyqcCKs5XnyVFYW0/hDO3Ux6tPquYScL7AAuo1XLvVs+QqXRaoIq0o0CxnKilpglNokG/9fCaYEMKwJpfysrzBEwEhvaN9kI29CaRZhIkrArrZ+qr0SLdr5eHFU7DyaTUB0N51Z4hE+ZEbGIyd0brSFAasRa5oHxCvbEACJpBafGo3HAI4Fl+USBgaNWKjZHQiuEdgcVEb2rJt/KThIoJu5y8FoR7BeBRMh+W7FDG06vjlZzWjopabvvyb4bbfO7EbBVIaxmUw4bCArmRIFsp6U2tTiYTCsDqefehFNB3wpRVgtjJ+YcqWw4T8ZSnzzyqLKmAuIzCAbSSLSwJef1ug2rMSPp31WrMcNiK8ZQWSFPKxT/IrtcjkYhQrSqkJbFMAhOLVPetQw3Iqkt0gpHbKdMvkbiLXWswtp4aP1jQ2xJq41KiaVMkU9VN/cy0Rnu0fzZsJGF0arrpSLYavzwM0SIaqnYQTj4w+8QlJIVVtKycmNZ6ppg5VskOdgTP6HlqqzeqLKq0q0aYxENAlUSTRWFSLG6lrl/3fIv7ToPhk2ojoZH+JSRvUrE5O4xyBAgNWJtZSfZImuMa0Wy2pPStCy2kjWSyFHLPFvdRwaKiLAevRVckEylcL35MlSuI8AKHDKPMldWLpENVzZHKAUUxMKKNdojyoZKNT5WpUvF7quVYJrhJJOuBXmBm/Cw1KxMI9tp3OfFzxEBVRAZRtlOvdaEqR5nQZ4INZ/CYYUgVRAk0ZLIzrXaizaadhN1x/Yk1T8VttIaq3YEyacIirIBJ6LIDqwSZglrxE9CwtwrLXqEgwSIVaJMQlb5QAz5G36HPTQe7Mgyo3wQYYGMauVDNH2GH9N6ZYUkPzP/rFfZ7XLfQRZGHncqX6qkfADbMi/P/DCrzKm0atFUXbcyFrtQIfUZy4FLdln4wLwO1S5xTTJEPGJzYo05OJIbzpEscX2iVkunaiyfQ6D0w2a5wyZUi1WET6kel8qZwxiTO0epnk+EAKkHx3wVmWwTOTngcuiJVZnQQiXL5PeCpqqFgM+Z+7n9DgT/sqGa5Qut8oKEyl5y8FplkAB9/q6nQoJ0aIXwPTLgZQJpjY/V9lKx+2pbiEY9AZHU9iCzaC4Qwal1CkEoh4qYNi0VC21T2iUQCZ/VLmF+kMoHoiCzKQtO8JbJ3FXbdcb3JO0/HbbSGqNmgkRUIHEylYigzLPWKEtOG+9+r5JBBBCkSKOEBYHiYCsqXWUpVj3/stGWsNY+Q7BKXhArpSqrGmsZUku5mtxtCXG+pnlFJNfvZtvVaFYVZOHf6FjViZ2oqltkwkRkGXAxhZiQ+GITWur8nyD1Xi3Z6/+qF1YXM5ePDWnXMkdI9Yw/kcRgC+YeltWtzPUgYn1OLCJO+/UYRqEaPmXs1jhMMXnsKI3/kyFAxo/h9CsgVwiCDKKJ4cSCeRoqFMrenLSNorQycN6yEw4ZJmVwokTw0FojeylzJCMlyAoESKQsuey4wFJWqemEXE4EcYjdV+szIpULbTJabJBEq1tp5dNuROBqoUIi2A4iYD4H4TLR+zDU9YRhK62RbEWQnKmlSvWBGPFHgsJ710IlSQFPBJAdWJqVL/FvLTPIpVWJVM38KfvzWLpWBtw+PM0LHnTiS+qyifFeZ9jJglijkqEKTjTyDQSHWKJljzDhV/ze//kSAsM5kh2Eq8qoOCV5JgnCHsuKWFqsJMv4IjGOvVmIYJCOYRSq4VPqsdDJHpPrQWlsVwkBMjbcWn5KhlLJWWlaj7SMk5YposOhPcJumv5fMtMcu1K1FhyZSSVsfdY2gRIcHIiHVq6RjmZR0c2dnAd999UaX/+YLqUHXyZbJtHCAkSGVioZSXagfUIlTDUEaejnyeLtAAhbGRmhZoLEHxAH5gJpbVHxKIfsNr/hZ6pfRIPqp1Wp/A6RFDT5E2KEoFUx03ZFuMh+l+TFRCQk2tnBRP5+GMmCZbq19Zo/qE2KDZg3RmTyKypkKhgWuyBa+ZCyKzyRqqWPTaiiqqryP5bYlQgTd6rOyZrI91rHtYdNqIZPGZvVDFNMHhtC9X0qBEh9WOYrmXi3ww475H5ah558fbhIgIyjzaKQCn3+VjTSq40UyDKZBKg/f6SleJtvFXkoq5+YPOqahx56aG61cA1iqPGQKResfJfWizqOft19tRVWftZvwdT701KFBKh0qHqocPVyYm8ddtHqGoNgK50umlAnVoUgwaksTKA9BqE08bsciKT9HogQtuNzfmZvDBUybVkqr42fabzPTkRH8TFl7PTb+Amy8O83a1EJYkOSgig1X0xckQX3c3M2tOuyLb8755xzcmJDld1CA0Rr4+7fY7XrXo6fTu55WIRq+JROrOLf5w5TTO4cnXo/EQKkXjxz1tGgt3yhv/Vmm6iJUMhY+kMAONrtKtt8a/26k3O/7b4Kt17vSFuzWU2ay/WbrfSrnSCPkhOIoaqozLbFKVRGbDzKt1ha2c9Km56FKcZyaA+V+KiynOtYrj+Rnwmy8G/CJHnlPap2+Ld2q6OOOiotscQSee6GqgZhaj5HnVXUfh0/zTYXQjVlQRo+ZSK9UVy7UwRCgHSKWJvzTeDTCmFZXT22VqoSBKoeVTNI/baTc7d2X22FY6s9VqzeY1UxEyn1NFsRSiXKpFxtcZ1kgau+uzivGgK9spV+tpNGgmQisT79nXbaKfsRE8e1Y5rk6//+Hs9O8TLeev4JDq045plttdVWLV+e1bDMOVKtNU+tzCOp9qbjrG4goLXRe7FQgbk/xheiyUaKndTh7/p5/LTDeRiFaviUdlYRv+81AiFAevgGJtNOzt3afXW0QGoVH1lASyCbPyFTTAyadKu9wCIA5ubIKsfROwS6YSuDZifNBEkLp3lgY61qlLdb9uZpFCxWSpMpbzzH77WHyppbflelxcprhI+qlbZRbYF+RxhZSCOOyYvAoI2fyfsmxv5k4VPGjl18sjsIhADpAs7DvJMzJ1iEVrus7bDsSNsFkxvIr6hqK2Enz329rTLTrQyA8NOCY66RKqA2Uct5m3BsHyKtXuaSmcBsTonzVHDNMyFGLK5hLpvFNWyIGcdgIhDjZzDfWzfvOnxKN9Ee3u8KAVLju6/aPlW+cjLu5NxuN1rP3m5zJBnXc889N0+gfOCBB3KLiJYCf5tjY/8Cq0Ppa9bfbFKllisrRfm9iZV2/tZuZS107Vd2CLfxo7k4lprst8m0NZrhwFyqna2Encz4Kkfb7brxbMt1w9dcka9//et5x3NL8lp8wn4x7N/P7R9hPNlbRIsVgaJX3HixjwiRYuEKLVrmoaicWEHL0q1x9DcCMX76+/30y92FT+mXNzF89xECZAzvPHZyHgNo//nIsO5IO3bEhvOTYSfV3ru2Kcs425HahqVf+tKX0plnnpnFgmV8iW5/LAFuvodV+Ww2Z9U1QtzSz4QIYWIiug0xTzvttLyniEqIlfVUQ7Rk2RTV6klWVbL/SBz9i0CMn/59N/1+Z+FT+v0NTZ77CwHS4buMnZw7BKzp9GHckXZ8iA3np8NOnvveZSlNHr/mmmvyxpOW+j7vvPPyHCfCw+Zw++67bxYIRIO5Gg6rZFmWVeUPsTjxxBPzLuc2rrNPgM1P/V711rKs5oeY1Oxc17OUrwqItiuLadQxmXk4Lbq7Tx3jp7t4D+K3hU8ZxLc2ue45BEiH7zN2cu4QsKbTh3FH2vEhNpyfDjv573vXSqX1ScXCKlgWW9BWaI7G/vvvn3eltiQvcWDlNz5KJcN59hGxO7b2RG1TWq3spq498XWve11emMFS4dobtS2qiNiQbplllsmLOcQxmAjE+BnM99atuw6f0i2k43tGQyAESAf2ETs5dwDWKKcO24609aA2fFcJO/nvO9cypTXqkksuyXM77FBthSytNg6VD/9+17velZeeNodqttlmy/M9pk2blvd+MJ9KG5V5U5bVVUmx8WWV/Yii8jF44y/Gz+C9s27ecfiUbqId39UKgRAgHdjFIOzk3MHj9MWpw7IjbV+APcA3Mex2IqN9wgknpDPOOCO/Rcv0OlQ7VCsOPfTQvDyuSsdb3vKWdOyxx+Z9iGxKd/XVV6epU6fmNi1L6bY7Qmy0Q2jwfj/s42fw3tjE33H4lInHOL5hdARCgHRoIf22k3Pj7R9yyCGZfOjX7tcjdqTt1zfTX/cVdvLc96EtykpvqhcPP/xwbpPSMmX+hkUxCBJzNlQ6tFNZCa6dkCjLsfbXm4+7qQOBGD91oDi5rxE+ZXK/30F4uhAgY3hLvdrJufFWW63TbW3+ddddN+2xxx5tyccYHruWjwzjjrS1ADdkFwk7ee4LJzrswaGdSjXDXJCVVlqpklV0ujx4pYvGSX2NQIyfvn49fXFz4VP64jUM9U2EABnD6+/GTs4jiY3m223c/fuYY45Jd9xxR26/iOzmGF5sfCQQ6FMErFaljcb+N1qtGg9jHeG00Wfsb9OnLzBuKxDoMwTCp/TZCxnC2wkBUuNLr7qTczN5QBwsdWmZTdWLcjSKCNd+8MEH04tf/OJMMizHqeXCRFO7FVsFR0+nzcas8x8CpMYXG5cKBHqMgPFseV2kYeedd47x3eP3EV8fCAw6AuFTBv0NDv79hwAZxztst5Nz46Xb7Upr1RrzS8ru35bG1GrRuPv3Yostlrbccsvpu39ruVpzzTWn7/5tDX+r2tx0003jeKr4aCAQCAQCgUAgEAgEAoFAIDBxCIQAmThsp1+5011pr7rqqjRlypS8Q7ENwfbaa6900UUXpSeffDL3fbueSaf2AnDeD3/4w3TBBRfkKoif+7fdj+MIBAKBQCAQCAQCgUAgEAgE+g2BECBdeCN17kprmU07IFvf35r/1vU/8MAD0yKLLJJ22223LEAOPvjgvOFYHIFAIBAIBAKBQCAQCAQCgUC/IRACpAtvpJu70t5yyy1p8cUXz8twxhEIBAKBQCAQCAQCgUAgEAj0GwIhQLr0RmJX2i4BHV8TCAQCgUAgEAgEAoFAINDXCIQA6cHriV1pewB6fGUgEAgEAoFAIBAIBAKBQF8gEAKkC69honelLcv/zjLLLHli+uyzz55WWGGFLjxZfEUgEAgEAoFAIBAIBAKBQCDQGQIhQDrDa0xn17Urbdn9/PTTT8+rYa266qoz3I/fPfLII2mzzTZL88wzT1pggQXGdM/xoUAgEAgEAoFAIBAIBAKBQGAiEAgBMhGojvOahMa0adPyzsZERBEe5bK33nprXvXK7+xFcsMNN+TKx1JLLZXuvPPOtM8+++TVsGxquM0224zzbuLjgUAgEAgEAoFAIBAIBAKBQH0IhACpD8uOr/TEE0/kHY2tWKVNyw7n2qjs93HppZfmvTxsNFiOe+65J91///1prrnmynt92An9W9/6VjrppJPSKquskpfkVfEwx+Tzn/98/nyzeOn4JuMDgUAgEAgEAoFAIBAIBAKBQI0IhACpEcyRLqVK8Zvf/CbdcccdeZfytdZaK7dPXXbZZWm55ZZLK6+88nM++uijj+a9Pa6//vq0xRZb5N3NP/axj6UVV1wxLbHEEmm99dZLO+20U77W5ptvnk455ZS04IIL5ms8/fTTeY8QmxcSJXEEAoFAIBAIBAKBQCAQCAQC/YRACJAuvI3TTjsti4KPf/zjad55500PPPBAnqdxwgknpMceeyxPGlexsF/InHPOmTcSdO7dd9+d//3KV74yC5GDDjoorbvuuvmOiRGihsi4+uqrn7Pvx5577pnWX3/9LG5e9rKXpdlmm60LTxlfEQgEAoFAIBAIBAKBQCAQCLRHIARIe4zGfca1116bjjnmmGRHdIc2KpPE/VEdeec735l23HHHdMYZZ6RFF100zTrrrLm6cfLJJ6ejjz46f2aTTTZJn/vc59IrXvGK3KplR/TvfOc7+ffzzTdfWnLJJdPNN9+cdt999/Twww+nQw89NLdz+XuxxRYb9zPEBQKBQCAQCAQCgUAgEAgEAoE6EAgBUgeKba5BcOyyyy7pnHPOyZUKAmK33XbLO5ZPmTIlbbfddunUU0/Ncz/8UcEgTMzt2G+//dLCCy+cRcpGG22Uz3VsuOGGWbRoxTryyCOTHdCXWWaZ/DPnxxEIBAKBQCAQCAQCgUAgEAj0IwIhQLrwVp566qm0ww47pAMOOCAvn+swR8N8DdUJ4sKqVo8//ni6+OKL03XXXZdXrzr77LPz6laf/OQn04UXXpjmn3/+tPfee+fPExwmnJtoHkcgEAgEAoFAIBAIBAKBQCAwKAiEAOnSmyI4Nt1007Txxhvnb9x1113zalZap5Zeeuk89+PMM89Mt912W17NSuWDEDERfYMNNkgLLbRQrpbEEQgEAoFAIBAIBAKBQCAQCAwyAiFAuvT2DjvssGQuyLbbbpsuueSSPDl8++23zxUPE8rnnnvudN999+VJ5dFC1aWXEl8TCAQCgUAgEAgEAoFAINB1BEKAdAly+3bYn0MF5OUvf3meRF6Wzu3SLcTXBAKBQCAQCAQCgUAgEAgEAj1HIARIz19B3EAgEAgEAoFAIBAIBAKBQCAwPAiEABmedx1PGggEAoFAIBAIBAKBQCAQCPQcgRAgPX8FcQOBQCAQCAQCgUAgEAgEAoHA8CAQAmR43nU8aSAQCAQCgUAgEAgEAoFAINBzBEKA9PwVxA0EAoFAIBAIBAKBQCAQCAQCw4NACJDhedfxpIFAIBAIBAKBQCAQCAQCgUDPEQgB0vNXEDcQCAQCgUAgEAgEAoFAIBAIDA8CIUCG513HkwYCgUAgEAgEAoFAIBAIBAI9RyAESM9fQdxAIBAIBAKdI3DuueemT3/60+lf//pXeuqpp9IiiyySfvCDH6SZZ555xIutu+66ad99901vetObOv/CFp/4wx/+kFZfffX05z//ueX1fvnLX6b9998/3X777WnOOedMc889d/rIRz6Stthii1q+v86LeJZLL7007b777tMvu+mmm6Zjjz02Lb300nV+VVwrEAgEAoGhRyAEyNCbQAAQCAQCg4bAAw88kFZaaaX085//PL30pS/Nt/+rX/0qrbrqqmmmmWbqCwFy0003pXXWWSeddtpp6c1vfnO+p3vvvTdddtllaeedd64M+T//+c80ZcqUyuePdGK76/z4xz/O4uwXv/jFuL8rLhAIBAKBQCAwOgIhQMJCAoFAIBAYMASuu+669MY3vjFXFuaaa64Z7v6WW25Je++9d7r//vvz7/bYY4/0nve8J6mAvPrVr07XXHNNuu+++9IGG2yQvvjFL+ZzHnzwwXzOHXfckZ599tm01157Ta8GIOXvf//709///vc0xxxzpKOOOiqtvfbaabQKyNvf/va08MILp8MOO6wlur7H9/3pT3/KVZtPfepT0ysjRNThhx+evv/976c11lgjrbDCCumss85K88wzT7rzzjvTvPPOm7761a+mxRdfPFeAVFUuvvji/D3rrbdeOuKII9Jss82W3vGOd+TPwOnuu+9ORNGOO+6Ybr311vT000/nz5966qnpRS96UVpuueXSH//4x7TMMsvkn3/ve99LSyyxRDr//PPTiiuumHEZ7X4/+9nPJlUpz3PAAQekXXbZJT3zzDMZR6Jr9tlnz0Lq6quvzhjGEQgEAoHAMCMQAmSY3348eyAQCAwkAojtNttsky6//PJcZVhrrbXS2972trTooosmmf7ll18+HXLIIWnbbbfNz6dF6oUvfGEWIP4+++yzMwF33te+9rX0mte8Jm233XZpqaWWSp/5zGcyiV5ttdXSt7/97bTKKqukqVOnppNPPjlttNFG6aqrrsrfjZA/9NBDI7ZgubYWsS233LIlxoTQrrvumkXOb3/727Tmmmum66+/Pr3kJS/JVRyf3W+//fJnv/KVr6T3vve9+ffLLrtsFjUqFhdeeGE68cQT0ze/+c0sQGaZZZa02WabZRHy4Q9/OAuQX//61+nKK6+cLtQKFq5LNNxzzz3puOOOy9drroA0CpB293v00UenD3zgA4n4e9WrXpUefvjhdOONN+b3QvgQWdOmTcttaKO1yQ2kQcZNBwKBQCDQIQIhQDoELE4PBAKBQKBfEJDJv+KKK9JFF12UCbRKhfkgWp5+97vfzXCbBMj73ve+tPXWW+ffEQdbbbVVrgossMAC6YYbbkiLLbZY/h0yvdBCC+X5Is4jOMqx8sor58qJCsdIc0BGEyCPPfZYFkKPP/54Fg2OzTffPG2//fbprW99axYgqje+vwgQFRBzXByPPPJI/m6f9yzuzzM4zjvvvHxvl1xySRYgKhsf/ehHp9/7Mccck6sncHriiSfydxBVowkQbW7t7pcYc47jBS94QRYfxAYh99rXvjaLIlWrck6/2FDcRyAQCAQCvUAgBEgvUI/vDAQCgUCgZgQ23njjtOGGG+YqxWgCpHESOvJOYCDqBIhqgSpKESBIvonYRIoqRaMAOemkkzJ5H0mAjNaC9eijj6YFF1wwC4BSDSBAiA8ihAAhUkp7mQrISALEvfmzww47TBcg7k1FxHO5P6LLQWhojdKC5vu1WR100EFZuI0mQLRkdXK/RIZrqqAQOkSiatXpp5+eqzEqSnEEAoFAIDDMCIQAGea3H88eCAQCA4mAydzmX5iH4dDuo4VJa5IsuzkLBx98cG6VcjS2YI0kQLRgqRYceOCBubVK5v6cc86Z3oJFBKy//vqZvCP87VqwVABk/ZFu9+TQ7qRtStuVliZzKggC8zr839yW0oLVLEDMY9GCZY6G+SEI/QUXXJBbsMy98G9ixgpbZbWvZgFiTom5Jtdee22eO6JyYu4LsWASPwwahVZzC1bV+y0C5PnPf36u8MznAkzcAAAB30lEQVQ///x5Xo33pRqjTSyOQCAQCASGGYEQIMP89uPZA4FAYCARuOuuuzKJ//3vf5+XtzXvw1yDMmfitttuy1l/q2WpJuy5557p3e9+93RiXpbhbayAlEnoxIA5Jiad+4zDalsmU5dJ6EceeWRuK2q3DK/PWYaXWEHGTQg3YRwB9zPXJ47cY/Mk9GYBYt6K1qabb745T0I/44wz8gpgzZPQiQ/3VyahN1ZA4KRSQmxoNTN3RqsWAeJ3xItnMhem1ST0qvdbBMhf//rXtNtuu6V//OMfGVPfd/zxx6dZZ511IO0ubjoQCAQCgboQCAFSF5JxnUAgEAgEAoEJQUD1xWpUKjJxBAKBQCAQCAw+AiFABv8dxhMEAoFAIDCpEQgBMqlfbzxcIBAIDCECIUCG8KXHIwcCgUAgEAgEAoFAIBAIBAK9QiAESK+Qj+8NBAKBQCAQCAQCgUAgEAgEhhCBECBD+NLjkQOBQCAQCAQCgUAgEAgEAoFeIRACpFfIx/cGAoFAIBAIBAKBQCAQCAQCQ4hACJAhfOnxyIFAIBAIBAKBQCAQCAQCgUCvEAgB0ivk43sDgUAgEAgEAoFAIBAIBAKBIUQgBMgQvvR45EAgEAgEAoFAIBAIBAKBQKBXCPw/xQEmRE56ij4AAAAASUVORK5CYII=\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = grad_rates2016['State Non-Waiver Grad Rate']\n",
    "bars2 = grad_rates2016['State Grad Rate']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = grad_rates2016['Corporation Name']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), [textwrap.fill(name, 10) for name in names], \n",
    "           rotation = 10, fontsize=8, horizontalalignment=\"center\")\n",
    "plt.tick_params(axis='x', pad=6)\n",
    "plt.xlabel('School Corporations')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('2016 Graduation Rates vs. Non-Waiver Graduation Rates')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/2016_Grad_vs_Non-Waiver_Grad_Rates.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>97.89</td>\n",
       "      <td>95.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>94.35</td>\n",
       "      <td>88.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>95.87</td>\n",
       "      <td>74.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>91.49</td>\n",
       "      <td>87.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>90.38</td>\n",
       "      <td>80.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>94.57</td>\n",
       "      <td>93.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>93.48</td>\n",
       "      <td>89.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>92.19</td>\n",
       "      <td>88.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>91.60</td>\n",
       "      <td>88.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>96.91</td>\n",
       "      <td>96.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  State Grad Rate  \\\n",
       "0            Adams Central Community Schools            97.89   \n",
       "1    Alexandria Community School Corporation            94.35   \n",
       "2      Anderson Community School Corporation            95.87   \n",
       "3                    Argos Community Schools            91.49   \n",
       "4     Attica Consolidated School Corporation            90.38   \n",
       "..                                       ...              ...   \n",
       "263              Westview School Corporation            94.57   \n",
       "264       White River Valley School District            93.48   \n",
       "265      Whitko Community School Corporation            92.19   \n",
       "266      Whitley County Consolidated Schools            91.60   \n",
       "267             Zionsville Community Schools            96.91   \n",
       "\n",
       "     State Non-Waiver Grad Rate  \n",
       "0                         95.79  \n",
       "1                         88.71  \n",
       "2                         74.42  \n",
       "3                         87.23  \n",
       "4                         80.77  \n",
       "..                          ...  \n",
       "263                       93.48  \n",
       "264                       89.13  \n",
       "265                       88.28  \n",
       "266                       88.00  \n",
       "267                       96.03  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Change percents to floats\n",
    "grad_rates2017['State Non-Waiver Grad Rate'] = grad_rates2017['State Non-Waiver Grad Rate'].str.replace('%','').astype(np.float64)\n",
    "grad_rates2017[\"State Grad Rate\"] = grad_rates2017[\"State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# Print Dataframe\n",
    "grad_rates2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sample size\n",
    "grad_rates2017 = grad_rates2017.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
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       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
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       "            event.step = -1;\n",
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       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = grad_rates2017['State Non-Waiver Grad Rate']\n",
    "bars2 = grad_rates2017['State Grad Rate']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = grad_rates2017['Corporation Name']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), [textwrap.fill(name, 10) for name in names], \n",
    "           rotation = 10, fontsize=8, horizontalalignment=\"center\")\n",
    "plt.tick_params(axis='x', pad=6)\n",
    "plt.xlabel('School Corporations')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('2017 Graduation Rates vs. Non-Waiver Graduation Rates')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/2017_Grad_vs_Non-Waiver_Grad_Rates.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>98.99</td>\n",
       "      <td>95.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>95.74</td>\n",
       "      <td>77.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>80.31</td>\n",
       "      <td>71.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>85.71</td>\n",
       "      <td>76.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.00</td>\n",
       "      <td>96.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>94.29</td>\n",
       "      <td>89.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>94.20</td>\n",
       "      <td>57.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>88.89</td>\n",
       "      <td>76.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>86.59</td>\n",
       "      <td>86.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>96.79</td>\n",
       "      <td>93.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  State Grad Rate  \\\n",
       "0            Adams Central Community Schools            98.99   \n",
       "1    Alexandria Community School Corporation            95.74   \n",
       "2      Anderson Community School Corporation            80.31   \n",
       "3                    Argos Community Schools            85.71   \n",
       "4     Attica Consolidated School Corporation            98.00   \n",
       "..                                       ...              ...   \n",
       "263              Westview School Corporation            94.29   \n",
       "264       White River Valley School District            94.20   \n",
       "265      Whitko Community School Corporation            88.89   \n",
       "266      Whitley County Consolidated Schools            86.59   \n",
       "267             Zionsville Community Schools            96.79   \n",
       "\n",
       "     State Non-Waiver Grad Rate  \n",
       "0                         95.96  \n",
       "1                         77.66  \n",
       "2                         71.55  \n",
       "3                         76.79  \n",
       "4                         96.00  \n",
       "..                          ...  \n",
       "263                       89.52  \n",
       "264                       57.97  \n",
       "265                       76.07  \n",
       "266                       86.18  \n",
       "267                       93.39  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change percents to floats\n",
    "grad_rates2018['State Non-Waiver Grad Rate'] = grad_rates2018['State Non-Waiver Grad Rate'].str.replace('%','').astype(np.float64)\n",
    "grad_rates2018[\"State Grad Rate\"] = grad_rates2018[\"State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# Print Dataframe\n",
    "grad_rates2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sample size\n",
    "grad_rates2018 = grad_rates2018.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = grad_rates2018['State Non-Waiver Grad Rate']\n",
    "bars2 = grad_rates2018['State Grad Rate']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = grad_rates2018['Corporation Name']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), [textwrap.fill(name, 10) for name in names], \n",
    "           rotation = 10, fontsize=8, horizontalalignment=\"center\")\n",
    "plt.tick_params(axis='x', pad=6)\n",
    "plt.xlabel('School Corporations')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('2018 Graduation Rates vs. Non-Waiver Graduation Rates')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/2018_Grad_vs_Non-Waiver_Grad_Rates.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>Corporation Name</th>\n",
       "      <th>State Grad Rate</th>\n",
       "      <th>State Non-Waiver Grad Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adams Central Community Schools</td>\n",
       "      <td>98.99</td>\n",
       "      <td>95.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alexandria Community School Corporation</td>\n",
       "      <td>95.74</td>\n",
       "      <td>77.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Anderson Community School Corporation</td>\n",
       "      <td>80.31</td>\n",
       "      <td>71.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argos Community Schools</td>\n",
       "      <td>85.71</td>\n",
       "      <td>76.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Attica Consolidated School Corporation</td>\n",
       "      <td>98.00</td>\n",
       "      <td>96.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>Westview School Corporation</td>\n",
       "      <td>94.29</td>\n",
       "      <td>89.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>White River Valley School District</td>\n",
       "      <td>94.20</td>\n",
       "      <td>57.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>Whitko Community School Corporation</td>\n",
       "      <td>88.89</td>\n",
       "      <td>76.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Whitley County Consolidated Schools</td>\n",
       "      <td>86.59</td>\n",
       "      <td>86.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Zionsville Community Schools</td>\n",
       "      <td>96.79</td>\n",
       "      <td>93.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>268 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Corporation Name  State Grad Rate  \\\n",
       "0            Adams Central Community Schools            98.99   \n",
       "1    Alexandria Community School Corporation            95.74   \n",
       "2      Anderson Community School Corporation            80.31   \n",
       "3                    Argos Community Schools            85.71   \n",
       "4     Attica Consolidated School Corporation            98.00   \n",
       "..                                       ...              ...   \n",
       "263              Westview School Corporation            94.29   \n",
       "264       White River Valley School District            94.20   \n",
       "265      Whitko Community School Corporation            88.89   \n",
       "266      Whitley County Consolidated Schools            86.59   \n",
       "267             Zionsville Community Schools            96.79   \n",
       "\n",
       "     State Non-Waiver Grad Rate  \n",
       "0                         95.96  \n",
       "1                         77.66  \n",
       "2                         71.55  \n",
       "3                         76.79  \n",
       "4                         96.00  \n",
       "..                          ...  \n",
       "263                       89.52  \n",
       "264                       57.97  \n",
       "265                       76.07  \n",
       "266                       86.18  \n",
       "267                       93.39  \n",
       "\n",
       "[268 rows x 3 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change percents to floats\n",
    "grad_rates2019['State Non-Waiver Grad Rate'] = grad_rates2019['State Non-Waiver Grad Rate'].str.replace('%','').astype(np.float64)\n",
    "grad_rates2019[\"State Grad Rate\"] = grad_rates2019[\"State Grad Rate\"].str.replace('%','').astype(np.float64)\n",
    "\n",
    "# Print Dataframe\n",
    "grad_rates2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sample size\n",
    "grad_rates2019 = grad_rates2019.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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bCztiS2wKeBYUIDEnn6HI24hKGBjWDb2wQcfmIyqcyqcgxFEuFMKChAE08ATnHP25GBm/9xzz83fZ5YIO40AcZuMcBMgBd8v0dHIsRjjWvQ59ojhpEGURPi4CRCICizFgl+LLc6RwhA8yILAd8EG4dux5I+FCGQKAhQgmdLTfM9QI4BgAEtEMFuOHwQxBQuCRyzbQRbByYpgQMNsp3YTuhtACByQCXHWQ8fWwVIDLH9A4B37TBoBgmfFzLSzfAT7OxDgOgIEy5kgfLAsCQXiCEuwsLnUyYBgRh5ZGgSPKFhChj0ijhjATDNEiLNMDPhhSZEjQCDmEPDGZio0S7CcJSGadfCx2LkFR9gTgGVZeH8szUqED9bnIwDChlunYAYfy0owM+y2KTn2OSAsIEAgKpxTqGLrICBH9gFLnBDAY0bcrWjaKnhdbACI2X4sn0GWALP6zvHChS3BwhIXiBa3YL2gACnM+MFvBM1YHoPsHLgFW8MhCOAMhAnEC0qivnDrT2QmIXwgiJHhcU6tw+8QoOL5C9ujohEgeC7wBeILeyGcmX/nfRMJECwPxHPg0AME+CjgDgJnR4CgP2BvyKSgYDICgtRZgoWsDbgK4eIsW8I+DewRccRAIuzceKxdggVbxn4VN8FvK0DwfhAfsCFkNrGsNRE+OEYa+Bfcf4clm/hdYUu/YvmIZWXgK7I3LEQgUxCgAMmUnuZ7hhoBzIgjsEaAWvBUJeeMfMxCY5YWQWLBY3gxw+Ycw4slWpitxKCIwAj/RXCPGTkECAgWsNwGwSaWYGE2DvfELK0zsxkLIgZMBB0IZJxjeBGgIhBFAILNq9i0WlgGBJkI3B/ryxEwY0YTS3AcAQKRgJlUBAVYooBnQrBScBM6ljugPoINBAxoAwGVI0CwrwW/x94CYICTvTAD7QgQ59kg4nASE04CwvKlggIES5ecTaXIUGA5FwQNgi4spfBLgEDQ4D5Dhgwx75EIHwRdwAd7PBA8Y3kVlnNhhho/ECeYIccGaAgtCDUsOcH7IHDDEiBgi2VKyHoV9r0FzFAjMEXwiX0XuCdKorbAPcycF3akqVuQ3bt3b8NzCEtHgCD4xbIyCALMtmPpWuwm9KIyIIUZvyOgMctfUMRBFDjYOssaE/WFW7CLZwL/IKCQoUBmwSmwDwh7LOWD3QJ/HC6B/RpYrqUVIBCOEJDgLa5BVhJiGv2NeyATBnHuFqBD0MOHXHbZZaYubB3/RabGESDAHCeqOZvQIU4wa+9sQsf74MQ3tIOlesiEOJkJR4Akws6Nx3gGt03o4AH4h4kLt03oxcmA4F3wLRcs/0R/ItuaCB/UgxiDL4BwRfYKzw77A5fBfUwEQOACG9gkfBjwRb85hyjARp3T70I9WPHhiYASAQoQJVCsRgRSiUBh6/MLfscAM6CxHyJE1sQpbkdG4m9OII6gBXsWMAgiEEYGA9mNgns23DBw1k4jMMXzYGMzAigENVgOhGC+MAGCgAczzXh2BE6YOcSgXfC9EKBhTTYCa8z2IstT8BheiCpkeyB6sHwCAgxBnyNAsOkTf8fsOgIaBDDYoOy8N94J90WQDaGS6BhePCtEIISVs6HeLwGCZ8HsMTapYh0/ZmGLwgf9hJlTiCdku5x3gsCA0MJSGARkEHnILCFoxDIlLNlB2+hzrK2HMEEwVFjB3gAIAggc7JlwNq8naguiCM/ndsQv7uUWZGNPAriAPTeOAIk9hhd7d7DsL/YY3sKWYBX2Xk72C1wtuNEcM+oQDOAKgm+URFx1EyAI8BHMglfAreDx0ug7CG8s0ULACnyRiYPNOXtPYkVVYe8Bm3A+RIj9FsiEoF/BT/xgmWJRh08MHTrU7HGBAIfAht9wBIhzZCzwRr+DVxCeBb+EDi7BNtF3yJjg/3FfRwwkws6Nx0Udwwubx6l0bsfwFleAAGPgAVGPSRpM4hSFDwQL9vqAS/h/x3fhyGQsXwUngT98E8QI7BBZaey3g+iAAMFyPPg5vBMLEcgUBChAMqWn+Z5EgAgQASJABIgAESACRCANEKAASYNO4CMQASJABIgAESACRIAIEIFMQYACJFN6mu9JBIgAESACRIAIEAEiQATSAAEKkDToBD4CESACRIAIEAEiQASIABHIFAQoQDKlp/meRIAIEAEiQASIABEgAkQgDRCgAEmDTuAjEAEiQASIABEgAkSACBCBTEEgIwQIjgHFWd5hKPj+Ap6X5VAEiEs8I4gJMdH4CfLEHSXiQvuh/WgQIE+0KGW6T8Fx4MBAWzJCgOBrsDjjPAwFH3jCNwpYDkWAuMQzgpgQE42fIE/cUSIutB/ajwYB8kSLUqb7FNtYmwJEy6wk1ct0AhcGM3HhIKAxQfKEPNHwBHXIFXJFwxXyhDzR8IQ+RYQCxIUptqBoyRZEPTo7zlZqeUWucGDUcIU8oU/R8IQBFHlCnmgRIFfcELCNtZkBKR7ffL+awQINW0sqcoUCRMMV8oQ+RcMTChDyhDzRIkCuUIAouWKrypTNBlKNwQINW0sscoUCRMMV8oQ+RcMTChDyhDzRIkCuhFaADB06VF599VVZt26d5OTkSKNGjcy7bNmyRfr37y+rVq0yJ0FNnTpV2rVrZ/62a9cuGTx4sCxatEhKliwpDzzwgPTs2VPFFgoQFUxpXYlBFINtDUHJE/JEwxMG2wygyBMtAvQpWqQyffyxjbVTsgTrgw8+kHr16hlxMXfu3HwBMmjQIKlTp46MHTvWCI3evXsbMZKVlSXjxo2T1atXy7PPPitr1qyRNm3ayIoVK6Rq1aoJuWELSsIGA6yQ6QQuDFriwkFAY3bkCXmi4QkFCAUIeaJFgD5Fi1Smjz+2sXZKBIjTmXXr1j1EgFSsWNGIC+ebHS1btpTs7Gzp2LGjNGzY0IiP008/3Vzet29fueCCC2TgwIEJuWELSsIGA6yQ6QSmANGTi1zhwKhhC3nCYFvDE4oy8oQ80SJArrghYBtrp40A2bp1q9SuXdsstXIKREbXrl3NsqxKlSqZbMiRRx5p/jxq1CiBYLnzzjsTMsYWlIQNBliBwQINW0svcoUCRMMV8oQ+RcMTChDyhDzRIkCuRE6AYPnVzp0789+rT58+0q1bt3wBgiVYTnbklltuMaLETYBMmjRJ8OOU7du3y8yZM4vHrCRdvWfPHilXrlyS7hae2xCX+L4iJsREY8HkiTtKxIX2Q/vRIECeaFHKdJ+Cfdo2H/1OmwwIOrhChQqydu1aLsHil9Dj7J2zuJzt1wwC5Al5ouEJZ/s5g0ueaBGgT9Eilenjj+1qo7QSINjPgX0hzib0Xr16mY3n2ISO30GcOJvQW7dubTahH3HEEQm5YQtKwgYDrJDpBC4MWuLCQUBjduQJeaLhCQUIBQh5okWAPkWLVKaPP7axdkoEyJAhQ+SVV16R77//XqpXr272cqxcuVI2b94s/fr1MxvRy5QpI1OmTJEOHTqYvsfSLJyS9dlnn5ljeO+//35zSpam2IKiaTOoOplOYAoQPbPIFQ6MGraQJwy2NTyhKCNPyBMtAuSKGwK2sXZKBEjxutj+altQ7O/g3xUMFmjYWjaRKxQgGq6QJ/QpGp5QgJAn5IkWAXKFAkTJFQoQJVBpXI1BFINtDT3JE/JEwxObYHvfgTwpU7KUtllVvSDaVN04QSXaD+1HwyPyhAKEAkRjKSJCAaIEKo2r0eFxYNTQkzwhTzQ8sREgqNvmrbnya+5+bdNF1quYVVoWnNPVl7b8boT2Q/vRcIo8oQChANFYCgWIEqX0rkaHx4FRw1DyhDzR8MRWgDR+fbb8mpurbTqBAMmSnC49fGnL70ZoP7QfDafIEwoQChCNpVCAKFFK72p0eBwYNQwlT8gTDU8oQBhABcETbZthr0c/S/uhAFFaMZdgKYFK42p0eAwsNfQkT8gTDU8oQBhABcETbZthr0c/S/uhAFFaMQWIEqg0rkaHx8BSQ0/yhDzR8IQChAFUEDzRthn2evSztB8KEKUVU4AogUrjanR4DCw19CRPyBMNTyhAGEAFwRNtm2GvRz9L+6EAUVoxBYgSqDSuRofHwFJDT/KEPNHwhAKEAVQQPNG2GfZ69LO0HwoQpRVTgCiBSuNqdHgMLDX0JE/IEw1PKEAYQAXBE22bYa9HP0v7oQBRWjEFiBKoNK5Gh8fAUkNP8oQ80fCEAoQBVBA80bYZ9nr0s7QfChClFVOAKIFK42p0eAwsNfQkT8gTDU8oQBhABcETbZthr0c/S/uhAFFaMQWIEqg0rkaH5z2w3HcgT8qULOVr7wbRph8PSJ5454kf+IepDRuu8EOEYepZf5/Vhif+3jl9WyMmFCAUIEr7pABRApXG1ejwihdYtnlrrvyau9+XHq6YVVoWnNPVl7b8boQ8KR5P/O6PdG7PhisUIOnck8E+mw1Pgn2S9GmdmFCAUIAo7ZECRAlUGlejwyteYMkAKo3JHfCj0XbcAZ43b5507txZhT7tRwVTJCvRfoo39kSSFIW8VKZzxTbWLnHw4MGDUSeILSipxCPTCVwY9sSleIMAA6hUWnVq751JtnMgN1dKZmX5Djjtx3dIQ9NgJtmPtlOICTMgzIAorYUCRAlUGlejw6MA0dCTPCkeTzQYp3udnKFDJW/3bl8es3TVqtIwO1soQHyBM5SN0KfQp2iJm+lcsY210y4D8sYbb8iYMWNk3759Ur58eZk2bZo0adJEOnbsKOvXr5fKlSsbLgwYMECGDx+u4oUtKKpGA6qU6QRmBkRPLBuuMIDS4xq1mjY8icK7f3HNNXJgzx5fXiWrShU59bHHKEB8QTOcjWSa/Wh6iZgwAxK5DMi2bdvkxBNPlA8//FDq168v77//vgwZMkSWLVtmBMjIkSOla1f7za8UIBqXkt516PCKNwtFAZLe/A7y6TLNdihAvLMp07iiQYqYFG/s0WAclTqZzhXbWDutMiCLFy+W/v37y/Lly/P5WKlSJSNERowYQQESFSv18B6ZbthukNlgQgHigXQRucSGJ1F4ZQoQ772YaVzRIEVMKEA0PEGdTOdKqAXIjh075IQTTpA5c+ZI69atZfbs2dKzZ0+ZOXOmPProo7J582bJysqSBg0ayPjx46VevXoqXtiComo0oEqZTuDCYCUuxRsEKEACMtgQNJtptkMB4p2UmcYVDVLEpHhjjwbjqNTJdK7YxtpplQEBCT/44AO588475ZdffpF27doJjkp84IEHpGnTplK7dm3BoV1PPPGETJky5ZBMSUECT5o0SfDjlO3btxsRE4ayZ88eKVeuXBgeNanPSFzi4dZgUqpUKXPUaBACBLaZl5eXVB4kupkGk0RtRO3vmYKJw/WwCBDaTzgsLVPsx6Y3iIk7WpmOy+DBg2XDhg1qKqWdACn45Hv37pWjjjpKFi1aZDIjBQuC9I0bN0q1atUSvqytKkvYYIAVMl1BMwOiJ5cNV4IQIPonTV5NG0yS91SpvVOmYRIWAZJaVrjfPdO4oukDYhKPEjGh/bghYBtrp50A2bRpk9SqVcu8G07DWrFihfztb3+TrVu3Ss2aNc3vkc3AnpB169Zp/IfYgqJqNKBKNGwatpZaNlyhANGiGr16NjyJwttTgHjvxUzjigYpYkIBouEJ6mQ6V2xj7bQTIFdffbXMnz9fcnNzpU2bNvLYY49J6dKlpUOHDoKMSMmSJaV69epmiRWO59UUW1A0bQZVJ9MJXBiuWlz2HciTMiVL+do9QbTpxwNqMcG9KED8QDycbdjwJAiuB9FmUT1BAeKdpzZc8X6XcF1JTChAtIzNdK7YxtppJ0C0HW1TzxYUm7b9rmtD4CAG9iDa9AMjG1zavDVXfs3d78dtpWJWaVlwjv3Rz77cPEEjNphQgCSjR9LzHjY8wRuE3X4oQLzzUMuVIMaJINr0jsRvV2ox8eNeYWmDmLj3VKbjYhtrU4CkmcXbEjjswYIWfhtcGGzHo0pMtEyLXj0b24lCtowCxDuHbbjCscc7zmG/0oYnYX9Xm+fPdFwoQFzYYrdYdWAAACAASURBVAuKDeH8rmtLYAaWDLY1HCRPNChFs06m+RQKEO88tuEKfYp3nMN+pQ1Pwv6uNs+f6bjYxtrMgNiwKwl1bQnMQYACRENL8kSDUjTrZJpPoQDxzmMbrtCneMc57Ffa8CTs72rz/JmOCwUIMyA29nJI3YpZWZLTpYfn64O80MawOTBSlAXJxbC1bWM7eLew2w8FiHeG2nAl7DzRomSDibbNsNezwSSIvT1BtOlHn9jg4sf90q0NChAKEM+cpACJh46YRBcTz4YSsgttB8WwB5YUIN4JasOVsPNEi5INJto2w17PFhPuFwp7j+uenwKEAkTHFJdaDLajG2wzWPBsFqG/0DZYCDtXKEC8U9aGK2HniRYlG0y0bYa9ni0m5ErYe1z3/BQgFCA6plCAqHCiKIuuKFMRIAKVMi1YoADxTlobrjCo9I5z2K+04QnelVwJe4/rnp8ChAJExxQKEBVO6SxA5s2bJ507d1a9BwcAFUyRrJRpwQIFiHca23CFPsU7zmG/0oYnFCBh723981OAUIDo2RJTM52DbRuHF+aB8UBurpTMyvLch4VdGGZMbMCw4YlNu2Gua4tJ2LlCAeKdrTZcCTtPtCjZYKJtM+z1bDEhV8Le47rnpwChANExhRkQFU6pEGU5Q4dK3u7dqudLVKl01arSMDubKfBEQEX475kWLFCAeCezDVcYVHrHOexX2vCEGZCw97b++SlAKED0bGEGJCFWqRAgDKASdkuhFWwHRu93Cs+VtpiEPbCk/Xjnpg1Xws4TLUo2mGjbDHs9W0zIlbD3uO75KUAoQHRMYQZEhRMFSDxMqcBE1VkiYjswatsNcz1bTMIeLFCAeGerDVfCzhMtSlpMgvg2RRBtat+7qHpaTJw2yBU/UE//NihAKEA8szQqgWXYnR0DKM8UpgBxgS7TggXaT3LsJ+x+VouSjf3wexfuqJIrWraFux4FCAWIZwZTgKTHbD8DKM8UpgChABHaT3Lsh0FlPM7EhALkvPPO826AIb+SAoQCxDOFKUAoQDTkiQpPNO8ahTo2M7h437AHURQg3llrw5Ww80SLEjGJR8oGkyj4lCC4om0zTPVCL0DeeOMNGTNmjOzbt0/Kly8v06ZNkyZNmsiWLVukf//+smrVKilbtqxMnTpV2rVrp+obW1BUjQZUiYbtDqwNLmEfGBlAeTcuG554v0u4rrTFhPbzW/9mVakipz72WOhFmZaxNlwJO0+IiRYBChAtUjb2o20zTPVsY+0SBw8ePJguL7ht2zY58cQT5cMPP5T69evL+++/L0OGDJFly5bJoEGDpE6dOjJ27FhZtGiR9O7d24iRLMU3E2xBSSUetgTmIBDfW2HHhALEuwXa2o/3O4XnSltMaD8UIBp2h50nmndEHRv7ISbuqBIXLdvCXc821k4rAbJ48WKT5Vi+fHl+L1SqVMkIkfbt28uaNWukRo0a5m8tW7aU7Oxs6dixY8IeswUlYYMBVrBxdngMGjYFSFF05AxugMYakqYzzadQwHsnpg1XOPZEb+zRMseGJ4xTtKiGv55trJ1WAmTHjh1ywgknyJw5c6R169Yye/Zs6dmzp/zjH/+Qfv36ya5du/J7qG/fvtK1a1cjWBIVW1AStRfk32nY7uja4BL2gZEBlHcLs+GJ97uE60pbTGg/v/UvBXzhXA87T7RWbGM/xIQZEG5C36A1LUkrAYKn/uCDD+TOO++UX375xezxmDdvnowaNUpuvPFG2blzZ/6L9enTR7p16+YqQCZNmiT4ccr27dtl5syZalBSWXHPnj1Srly5hI9QqlQp6dy5cyAZEGCel5eX8BmSWUGDS9gxcZ4/LAIkrDxJJm/T4V4a28Fz0n7ieytIAZIs+ylZsqSUKFFCRcW9e/eaPZZFFfCkU6dOHHsKgBR221GRo0ClTPEpQeFi225Y6g8ePFg2bAixACkINJzhUUcdZfZ8YCP62rVruQQrhomccYk3zbBjEhYBko5O0Wa2Mh2fP4hnssWE9vNbLwQpQILoa7c2D+TmSknFXknb5wk7T7Tva2M/xMQdVeKiZVu469muNkq7DMimTZukVq1aphdwGtaKFStM9mLgwIFSt27d/E3ovXr1ktWrV0duEzpmxZDZ0BYaNgVIUVyJQgCltQXUswkWbNoNc11bTMLuUyjg49maM3So5O3e7QuNS1etKg2zswPJgPjygD43YmM/YbcdLXQ2mKBN4qJFNtz1Qi9Arr76apk/f77k5uZKmzZt5LHHHpMqVarI5s2bzT4QbEQvU6aMTJkyRTp06KDqLVtQVI1aVuIslCVgMdVtHF7YnR0DKO9cseGJ97uE60pbTGg/v/VvVAQ8fYp3m7Wxn7DbjhYlG0woQLSohr+ebayddhmQILrAFpQgngFtchbKO7I2Di/sgwCDheTwxPtdwnWlje1EIVig/cTzk5h4t1kb+wn72KNFyQaTKPiUoHDRthuWeraxNgVIEnuWg4B3sG0cXtgHAfIkOTzxfpdwXWljO1EIFmg/FCB+WqiN/YR97NHiZoNJFHxKULho2w1LPQoQl56yBSWozubA6B1ZG4cX9kGAPEkOT7zfJVxX2thOFIIF2g8FiJ8WamM/YR97tLjZYBIFnxIULtp2w1LPNtZmBiSJPcuB0TvYNg4v7IMAeZIcnni/S7iutLGdKAQLtB8KED8t1MZ+wj72aHGzwSQKPiUoXLTthqUeBQgzIJ65WjErS3K69PB8fZAX2ji8sA8CDKC8M8mGJ97vEq4rbTGh/fzWv9yEHs/1qGCitWIb+wm77QSBCQWIFtXw16MAoQDxzGIKkHjoUoEJBYhnCquP4d13IE/KlCzl/UYuVwbRph8PaBNARSFYoP0wA+KH3Tht2NgPBYg78sTFT0amb1sUIBQgntmZimBb+7CZNAgwgNKyIr6eDU/avDVXfs3d7/1mBa6smFVaFpzT1Ze2/G7EBhMKkEPRj8psP32Kd6uysR8G2hQg5513nneyhfxKChAKEM8UpgBhBkRDHvIkPXii6SvUsQmgKEAoQBLxKiqiLNF7MgNSOEL8YLI7Nra+VsvBsNSjAKEA8cxVBpbpEVhyttIzha2Cbc5WRnO2kvYT36/EhD5FgwA/mKxBqfA6FCDHyoYNG9Qg8hQsNVTFr8hBwDuGNjMuYQ8syRPvPLEZAMLOEy1KNpgwA8IMSCJeMQNSOEJR8Cn8YHIiC6AAKQwBZkCYAfFsPcnOgHC2xb2rKEA8U5gZEBfoKEC88ykqwTZ9incO2NhPFAQIuZIcrni/S/peSQFCAeKZnckWIHhQzrZwuYRnwhYz2I5CsKDBziaAYgaEGZBEnIqKKEv0ns7fbewnCj6FAkTLjPh6Nlzxfpf0vTJpAmTOnDnSoUMHqVy5skycOFE++eQTGTt2rDRq1Cjt0LEFJagXoGEz2NZwizzRoORex2YAiEKwoEHKBhMKEAqQRJyiACkcoSj4FI4/iSyg8L/b+lrvd0rPK21jbc97QE499VT58ssvZenSpTJgwAC54YYbZMaMGfLhhx+mHTK2oAT1AjRsChANt8gTDUoUIFqUbAfFsAdRtB/6Wa1taOrZ2E/YbQd40H40rCj++OP9Lul7pW2s7VmANG/eXJYsWSITJkyQChUqyI033ijO79INHltQgnp+GjYHRg23yBMNSsUfAKIQLGiQsgmgmAFhBiQRp5gBYQYkEUecv5MrWqSiUc821vYsQJo0aSLTpk2TYcOGyTPPPCP169eXxo0bS05OTtohaQtKUC/AwJICRMMt8kSDEgWIFiUKEC1S8fWiEkDRp3jngI39RGFSg1xJDle83yV9r7SNtT0LEOwBueOOO+Tss8+Whx56SL755hsZPXq0zJo1K+3QsQUlqBegYVOAaLhFnmhQogDRomQTQDEDwgxIIl5FRZQlek/n7zb2QwESTfsJgivaNsNUzzbW9ixAggIFxn7bbbfJgQMHZP/+/XLLLbeYPSYdO3aU9evXm03vKPjd8OHDVY9hC4qqUQ+VGFhSgGhoQ55oUKIA0aJkE0BRgEQzgKJP0VpLfD0b+6EAiab9aNljwxVtm2GqZxtrexYgGzdulCFDhsh3330nn332mXzxxRfy3nvvmSVZXsvBgwelevXq8u677wo2ua9du1ZOOeUU+eGHH6Rbt24ycuRI6dq1q3XztqBY30B5AQcBChANVcgTDUoUIFqUbAfFsAdRtB/6Wa1taOrZ2E/YbQd40H40rCj++OP9Lul7pW2s7VmAQAhceumlZhM6TsLKzc2VZs2aFWsPiCNAZs+eLe3btzenbHXp0kXWrFkj5557LgVIAd5FJQ1OZ8dgwU93mmnBggY7G0yYAYnmDC79rMZSih9UUoBE03607LH1tdp2w1IvaQLktNNOk8WLFxvR8fnnnxt8Cv6/V8DefvttueSSS8zJWtu2bTN7Sjp37myWYG3evFmysrKkQYMGMn78eKlXr57qNragqBr1UImDAINtDW3IEw1KDBa0KNkOimEPomg/9LNa29DUs7GfsNsOMyAaRhRex4YrxbtTel5tG2t7zoC0bt1aFixYYI7ehQCBWIBIQDbEa0EW5fzzz5e7775b2rZtK4sWLZLu3bubrMrOnTuldu3agizJE088IVOmTJHly5e73mrSpEmCH6ds375dZs6c6fWxin1dqVKljIgKy8A4b948ycvLK/Z7F9UAMYlHh5gUn3J79uyRcuXKFdmQg3MQwUIybMcWJQ0maDPsuNB+6FNsbUNTX2M/YbedgvbPOEXDCvc6Gq54bz39rxw8eLBs2LBB/aCeBQhOvvr2228FGYsxY8YYQXDllVfK0KFD1TePrYiMSv/+/Q8RFqeffrpkZ2dLp06dDqmOIAP7UKpVq5bwfraqLGGDHiuExbA9vp6ny4hJPGzExBOVzEU2M1BBCBDvTx7clTaY4CnCjgvthz7FT2uysZ+w2w5wo/14Z48NV7zfJX2vtI21PQsQQPDiiy/Kyy+/bLISF110kREgxSlYYnXiiSeazMfJJ58sK1eulJYtW5oMCwRHzZo1TfPIZowYMULWrVunup0tKKpGPVSiYXNg1NCGPNGg5F7HZgCIQrCgQcoGEwqQQxHlXrt4hkUFE43tZOKkBscfLTPi69n6Wu93Ss8rbWPtYgmQICCAqLn//vulZMmSRtjgSF6cgNWhQwfZu3ev+T1OysISK3wMUVNsQdG06aUODZsCRMMb8kSDEgWIFiXbQTHswoz2Qz+rtQ1NPRv7CbvtAA/aj4YVxR9/vN8lfa+0jbU9C5A+ffpIiRIlDkHi8MMPlzZt2sjAgQONUEiXYgtKUM9Nw+bAqOEWeaJBqfgDQBSCBQ1SNgEU2gs7LrQf+lmNXWjrYF8X9nBqSththwJE08uF17H1tcW7W/pdbRtrexYg+AbIkiVL5LLLLjMo/O1vf5MWLVqYfSEnnXSSPProo2mDji0oQT04B0YOjBpukScalChAtCjZDophD6JoP/SzGts4kJsrJbOyNFXVdcJuOxQg6q52rWjra4t3t/S72jbW9ixAzjzzTMHMQNmyZQ0K2P2PpVL//Oc/pWnTpoWeUJUKyGxBCeoZOTByYNRwizzRoEQBokXJdlAMexBF+6Gf1dpGztChkrd7t7Z6ofVKV60qDbOzQ589pAApHhVsfW3x7pZ+V9vG2p4FCDaJf/311/nLsHBsa6NGjWTFihW+fA/ET2htQfHz3gXb4sDIgVHDLfJEgxIFiBYl20GRAuQ3ZKOy4Zo+xd1a/MIlKjyhANF61eKPP8W7U3pebRtrexYg1157rTnvt1+/fkaEzJgxQ2rVqiUPP/ywWS/5ySefpA1CtqAE9eB+OTs8X1QcHjGhKPPT3myC7bAH2lrcbDBBm2HHhT6FPkVrG35xJSrjMQWIljkUIG4I2MbangXI/v37ZerUqfLee++Z06rwnY7rr79eSpcuXbweDOBqW1ACeATTpF/OjgLEvYeiMgiQJ94t0CbYDnugrUXJBhMKkENRpU+JZ1lUMPFzTCYm0R6Tg/K12nbDUs821vYsQMICCJ7TFpSg3o2BJWfmNNwiTzQoFX8GigLEHcOw40L7oZ/VehC/uEIBQgECBGwne7Q8DUs921jbswDBpnN8/fyLL74wG9Cd8tJLL6UdVragBPUCfjk7ZkCi7ezIE+8WaDMAhD3Q1qJkgwkzIMyAJOIVg21mhRJxxPl7lLiieWdbX6tpM0x1bGNtzwIEez8qVaokr732mtx8883y7LPPSvv27c0ekHQrtqAE9fwMLDkzp+EWeaJBiRkQLUq2g2LYhRnth35Waxt+cSVKgbZfmERpolTLJ1tfq203LPVsY23PAqRx48aSk5Mjp556qnz55Zfyyy+/SO/evU0KKt2KLShBPT8NmwOjhlvkiQYlChAtSraDIgXIb8hGJbCkT3G3Fr9wiQpPgJJfmFCAaD10dOrZxtqeBUjLli1l4cKF0rx5c5k/f76UL1/eHMO7bNmytEPTFpSgXoCGTQGi4RZ5okGJAkSLEgWIFqn4elEJLOlTKEC0VkCuaJGKr2fra73fKT2vtI21PQuQ888/X1588UV56KGH5MMPP5Rq1aqZLMhbb72VdsjYghLUC9CwKUA03CJPNChRgGhRsh0UmQFhBqQobkVFlPk5209M3BkTJVw0/tbW12raDFMd21jbswDBhwdLlSpljuB94YUXZNu2bTJgwACzLyTdii0oQT0/A0sKEA23yBMNShQgWpRsB0UKEAoQChCtdf23XpQCbY4/dn1fsLatr/V+p/S80jbW9ixA7r33XhkzZswhKLj9Lh1gsgUlqGemYVOAaLhFnmhQogDRomQ7KFKAUIBQgGitiwIkU7iiYYStr9W0GaY6trG2ZwGCvR9Lliw5BBu336UDeLagBPXMDCwpQDTcIk80KFGAaFGyHRQpQChAMiWo9MvXMgPizpgo4aLxt7a+VtNmmOrYxtrWAgR7PN588015/vnnpX///vnY7NixQxYtWhQnStIBPFtQgnpmv5wdni8qhk1MKMr8tDebASDsgbYWt3nz5knnzp211SXsuNCn0Kdoye4XV6IyHgM3vzCJUpyi5ZPN+KNtM0z1bGNtawHy/vvvy3vvvSdTp06V66+/Ph+bypUrS48ePaRu3bpph5ctKEG9AA2bA6OGW+SJBiVmQA7k5krJrCzvYBVyJQUIMyDMgNiZFQUIMyBAgALkWNmwYYPaeKwFiNPy0qVLpUmTJuobaSuiA2+77TY5cOCA7N+/X2655RazuX3Lli0m47Jq1SopW7asEUDt2rVTNUsBooJJKmZlSU6XHrrKPtVisE1R5hOVTDM2A0DYA228b87QoZK3e7cvEJauWlUaZmczA1IAzagElvSz7ibiFy5R4QlQ8gsTtBUlXDRO1mb80bQXtjq2sbZnAZKbmyszZ840ggD/75Q777zTM2Y4Uat69ery7rvvmg8crl27Vk455RT54Ycf5KabbpI6derI2LFjzVIvfPQQ985SzADaguL5BRJcSMNmsK3hFnmiQcm9js0AEAUBQq7Qp2ishTyhANHwhAJEi1Lxx5/i3Sk9r7aNtT0LEAiA77//XvBBQhzH65QJEyZ4RsYRILNnz5b27dubL6x36dJF1qxZI0cccYT5b40aNUz7uG92drZ07Ngx4f1sQUnYoMcKHAQYLGioQ55oUCr+AEABciiGUZmtpP3Qz2o9iF9ciYrtUIBomVP88ad4d0rPq21jbc8C5OSTT5avv/5aSpQo4SsSb7/9tlxyySVSoUIF822RWbNmSbNmzaR27dqya9eu/Hv17dtXunbteshG+MIexBYUX1+oQGN+OTs0GRWHR0wYLPhpb8yAeEeTPiUeO2ISXUz8DLajwhM/MYlSnKL1qtrxZ9+BPClT8reJe237RdULok3b57KNtT0LkHPOOUf++c9/SpkyZWyfsdD6WMqFL6zffffd0rZtW7PUqnv37iYTguVXO3fuzL+2T58+0q1bN1cBMmnSJMGPU7Zv326Wi6WqIEOEU2jCEmzj1Bx8aDLIQkzi0SUmxWfcnj17pFy5ckU25OAcRAYkGbaDlyNXaD8aayFP3FHyG5cgBQh9yqF96OxVTRYuGjtz6tiMP23emiu/5u63ab7QuhWzSsuCc7pKqjEZPHhwcjahDxkyRLARvWfPnocM+DfeeKNnQBcvXmwExfLly/PbOP30081SK2Q7sCeES7D+C02QDs9zB3q4MCyizMOreb6EmHiGLuM2oZMr8VwhJsRE60H84kpUxmPg5hcmUYpTtHzSZkDQXhATYNrnDKpe0jIgV111Vdw7YDnW008/7fndNm/eLCeeeKLJfGCJ18qVK81ej5ycHLn99tvNEb/OJvRevXrJ6tWruQn99dnya4FDADyDL8JTsFzA48lg8aCkAhMtrzNtAGCwwGBbYxvkiTtKfuFCAeKOb5Rw0dhZpo0/sZgkTYBoOsNLnRdffFHuv/9+KVmypGBTOo7kvfTSSwXipF+/fmYjOpZ9TZkyRTp06KC6hS0oqkY9VPLL2UVpZoGYMIDyYEqFXpJpAwDth/ajsR/yhAJEwxNmQLQoudfLtPEnZQLk559/Fhy5i2VRL7/8slk2hSVZl112WfF6MICrKUB0oKZiZpsDIwMoHTt1tTJtAKD90H40lkGeUIBoeEIBokWJAsQNAdtY2/Mm9Msvv1waNGggf/3rX2XZsmWye/duadOmjXzxxRfF68EArrYFJYBHME1yEGCwoOEWeaJBiQMAfUqwQSVaj8oSEvqUYLkSFZ7Qp3gfe3Blpk2ApSwD0rx5c1myZIk5Ivfzzz83z4EvoyMLkm6FAkTXI8yAxONETNIDEx2DM28AYGDJSQ2NbZAnFCAanlCAaFHiBJgbAraxtucMSOvWreWTTz7JFyDIgLRq1cocmZtuxRaUoJ6fgwCDBQ23yBMNShwAGCwEG1QyA+KOL2f743EhJtHnimZUYgbk2OQcwzt69GipVKmSzJgxw2wIx3c3mjZtKuPGjdP0U1LrUIDo4OZsf3rM9lOA6PjqVivTBgByhZMaGmshT4IVqxQgFCBAINPGn9het421PWdA8NHACRMmmA3oOK3qoosukltvvVV1LK7GYfpZxxYUP+9dsC0OAgwWNNwiTzQoMQPCDEiwQSUzINEPKv3ytRQg0eeKZlSiAElSBkTTGelShwJE1xPMgDADomFKKniiea5MnIHyK4BisB3tAIo8CVasUoBE2344/ugQsI21PWdArr76annwwQelWrVq5sl+/PFH87HAadOm6Z40ibVsQQnq0TgIMAOi4RZ5okGJGRBmQIINKinKoh9U+uVrKUCizxXNqMQMSJIyIAVPv3I6xjkZS9NRyaxDAaJDOxUz234NAAwWOAAwA6Kz88JqRSWIok/hRI/WEvziSlRsh5MaWuZwAswNAdtY23MG5NRTTz3kxCvsA2nUqJF89dVXxevBAK62BSWARzBN+uXsGGxHO9gmT7xbYKbNQJErDLY11kKeBJstowCJ9pissbFMnACLxcU21vYsQK655hopX768jBo1ymxCx4b0nTt3yvTp07V9lbR6tqAE9WAcBBgsaLhFnmhQ4gwUJzWCDSo50RP9oNIvX0sBEn2uaEalTJsAS5kA+fnnn2XYsGEyd+5cKVGihDkFC0fx4mjedCsUILoe4RKseJyISXpgomNw5h2D6FcAxWA72gEUeRKsWKUAibb9cPzRIWAba3vKgOTl5cltt91mNqGHodiCEtQ7cRBgBkTDLfJEgxIzIMyABBtUUpRFP6j0y9dSgESfK5pRiRmQJG1C79Spk7z77ruaPkl5HQoQXRdwtj89Zvv9GhSjFEDpGMwMiBYnt3pRCaJoP5zo0dqBX1yJiu1wUkPLHE6AuSFgG2t7yoDgxlhutX//frnqqqukYsWK+c+CfSHpVmxBCer5/XJ2UQosiQmDBT/tLdNmoGg/tB+N/ZAnwWbLKECYAQECmTb+xPa6baztWYCULFky/97YA4KN6PgvlmelW7EFJajn5yDAYEHDLfJEgxJnoDhbGWxQyYme6AeVfvlaCpDoc0UzKlGAJGkJlqYzvNTZvn27dOzYMf/SXbt2yerVq2XLli3Ss2dPWb9+vVSuXNn8fcCAATJ8+PCEt6EASQiRqcAlWPE4EZP0wETH4MybgfIrgGKwHe0AijwJVqxSgETbfjj+6BCwjbU9Z0DM7NsXX8jy5cvl8ssvFwiH3bt3S61atXRPqqw1ceJEef/992XOnDlGmIwcOVK6du2qvPq/1WxBsWrcojIHgXiwiAkxsTChhFUzbQaK9kP7SWgU/AZVoRD5ZT8UIBQgQCDTxp/YXreNtT0LkKlTp8qTTz4pv/76q6xatcr84Nsg77zzjsYfqus0bNhQ7rvvPunevTsFSAHUouLw/BoAOIPLASATBwDaDwWIZjAlT5gB0fDETCxfc40c2LNHW73IelGJU7RgUIAkaQlWs2bN5OOPP5YzzjhDPv/8c9M/+BL6smXLtH2VsN6CBQukR48esmHDBsnKyjICZPPmzeb/GzRoIOPHj5d69eolbMdWlSVs0GMFGjaDBQ11yBMNSu515s2bJ507d1Y10Pj12fJrbq6qbqJKqViqx2Ah2KCSkxrRn9Twy9dGKdD2C5Mo2U8i/+/8nQIkSQKkVatW8umnnwqEiCNAmjZtapZl+VWQUalatapkZ2ebJr/77jupXbu22fD+xBNPyJQpU8wSsNiCE7rw4xQsD5s5c6Zfj2XdTqlSpUxQFBbDRhAX9GECxCSeRsTE3bRw4EX7tm2lrM8n7AUhQJJhO0CJXKH9aAYi8sQdJb9xCVKA0Kcc2ofOZE+ycNHYmVNnz549Uq5cuSIvcbgX5vGnsBccPHiwSRhoi+clWNiHgSD/0ksvlSVLlsjzzz8vL730ktmr4UfZuXOn2U+ycOFCOeWUU1ybREdvXLptKQAAIABJREFU3LhRqlWrVuQtmQHR9UgqZnHDIsp0CPpTi5i445gzdKjk7d5dbJBLV60qDbOzJYgBoNgPZ9kAuRIPGDEhJloz8osrQQoQ7bv4Vc8vTPA8UcJFgy8zIEnKgKxcudJsPv/qq6+kRo0agu9/QHwcf/zxmn5KWOfZZ5+V6dOny/z5803d3Nxc2bp1q9SsWdP8GxmNESNGyLp16xK2RQGSECJTgQIkHidikh6Y4Cn8GhijNCj6hUmUggViQgGiG/HoU9xwov1o2RNfjwIkSQLkp59+kipVqsg333xjlkSdfPLJZlmAX+XMM8+UQYMGmQ8doiAj0qFDB9m7d69gSUb16tVNBqZJkyYJb0kBkhAiCpBCIKIAoQDRWE8qeOKnKKMAce/lqIhVBpXu/esXLlHhCX2KxtsXXocCJGAB8t5770nfvn1NNqJOnTry6quvSuPGjYvXawFfTQGiAzgVQZRfAwADqGgHUH4OjAwWos0V+hRmQHQjHjMgzIBomaKrRwESsABp2bKljBkzRs455xx54YUX5OWXX/Zt34eui+1rUYDoMKMASY/ZfgZQnK3UWax/ARQFPEWZlnMU8PFIEZNo24/WNihAAhYgsSddFTwFS9tJya5HAaJDnAKEAkTDlFTwhBmQYEUZBUi0AyhOagRrPxQg0bYfzbiIOhQgAQuQ5s2bm1OvnBL7b21HJbMeBYgO7VQElhwY4/uGmDBY0FksMyBuONF+6FOSbT8UIBQgFCAitrG29TG8pUuXNt/mcMq2bdvMv7ERvUSJErJlyxat7Setni0oQT0YB0YOjBpukScUIBqe+JkVYgYk2gEUfQp9Cn2KFgHv9ZgBCTgDkujY29/97nfeey+gKylAdMAyAxKPEzFJD0z8DLY5W8lgW+cRo/MdAwoQChAt58kVLVLx9ShAAhYg3rsmdVdSgOiwZ7CdHsE2BwAGCzqL5RIsN5xoP8w0J9t+OKkR7UkNLZ8oQChA4rhCAaIzHwoQChANU1LBE2ZAghVlaD0qQRQFCAWIxo/Rp9CnaHmirUcBQgFCAaK1lph6qQgsGSwwWNDS1S+uRCXQ9jOAogCJ9gyuX7YTJZ74aT/0KdG2H+0YRQFCAUIBorUWCpCESFGUpUdWiMECZysTGuv/KjDY5qRGsrlCAUIBAgQoQJIoQDZt2iRr1qyR3NzcfPa1b99ea/tJq8clWDqoGWynR7DNACrYYJvBQrSDBdoPBYhuxPNvDxV9SrR9ipZPFCBJEiD33XefTJgwQerVqyelSpUy/YNjeBcuXKjtq6TVowDRQU0BQgGiYUoqeMIMSLCiDK1HJYiiAKEA0fgx+hT6FC1PtPUoQJIkQI4//nj59NNPpXr16tq+SVk9ChAd9KkILBksMFjQsZOzlW440X5oPxr7IU+CDbajIt79FGVRmtTQ2BjqUIAkSYC0bdtWPvroI22/pLQeBYgOfgoQZkA0TEkFT/wcGBksuPdyVHBhsE1RpvFj9CnBijIKkKJZ2Pj12fJrge0LWs661UvVmBz7LLaxtvWX0J0bjhs3Tnbs2CFXXHGFlCtXLv85GjRoUBwcA7nWFpRAHkL8m8GNkmEzWGCwoLU3v7gSlUDbzwCKPoWiTGuHtJ94pIhJtO1HaxvMgCQpA3LcccfF9Qn2gKxevVrbV0mrRwGigzoVKtqvoJIBVPQHAL+4wmAh2lzxiyf0KdHmiZ8Cnj4l+lzRRFEUIEkSIJrOSJc6FCC6nqAAiceJmKQHJgwW3G2YwTYziBrvTp4Eaz8UIBQgQIACJIkCZPHixfL222+b06/OPvtsadGihcYXFlln+/bt0rFjx/w6u3btMlmVLVu2mON++/fvL6tWrZKyZcvK1KlTpV27dgnvSQGSECJTgcF2egTbDBYYLOgslss63XCi/VCUJdt+KEAoQChARGxjbc97QJ566im55557pGfPnoZ5s2fPljvuuEOuvvpqre2r6k2cOFHef/99mTNnjgwaNEjq1KkjY8eOlUWLFknv3r2NGMnKyiqyLVtQVA/moRIHRg6MGtqQJxQgGp6gDrlCn6LhCnlCn6LhCX2KFiX3esyAJCkDcuqpp5rsR40aNUxP/PDDDyYL8uWXXxavB2OubtiwoeCbI927d5eKFSuaDx8692zZsqVkZ2cfkjFxuzkFiK5LmAGJx4mYpAcmfg6MnK2M9mwlg22KMt2I55+Ap0+Jtk/R8okCJIkCJFZsNGnSRJYuXartq4T1FixYID169JANGzaYE7dq164tWJLllL59+0rXrl3NsqyiCgVIQqhNBQbb6RFsM4DibKXOYv0LoHC/qARRtB8KkGTbT1Rsx8+Jnij5FC2fKECSJECw9Kp+/foyZMgQswfkT3/6kxEfs2bN0vZVwnrXXHONVK1a1WQ5tm7dapZf7dy5M/+6Pn36SLdu3eIEyKRJkwQ/TsG+kpkzZya8X1AV8KX4zp07h2a5xLx58yQvLy8oOEy7xCQeXmLiTjm/cQkyWEiG7dB+ksOToAOoZHDFb9uJAiZB2A99irtNRgEXm0Boz549h3yWwu1axyaD+A5IMnxKUXgMHjzYJAy0xfMeEGwKHzp0qOCFIUAQYE+ePFmOPPJI7b2LrAehUatWLVm4cKGccsoppm6FChVk7dq1XILF2UpX7gTp7HwhtbIRzuC6A+UXLlHhCVDyC5OgA0sl9X2pRkziYSQm9Cla4yJXtEjF12MGJEkZEO9dpLvy2WeflenTp8v8+fPzLxg4cKDUrVs3fxN6r169zAlZ3ISeqwM1QS0uwYoHiJikByZ+BtsUIMmfrfTFQSkbYQBFAaKkim8Cnj4l2j5FyycKkIAFyEcffSRt27aV1157zbVPLrjgAm1fFVnvzDPPNKdeXXXVVfn1Nm/eLP369TMb0cuUKSNTpkyRDh06JLwf94AkhMhUYLCdHsE2AyjOVuoslhkQN5xoPxQgybYfChAKECBAARKwAMG+DBzB26lTpzjGYSnWO++8o7X9pNWjANFBTQFCAaJhSip4wgxIsKIMrUcliKIAoQDR+DH6FPoULU+09ShAAhYg2o5Ip3oUILreSEVgyWCBwYKOnf7N9kcl0PYzgKIAifYMLv1ssME2fUq07Uc7RlGAJEmA4Bsc2CBesLj9TttxQdajANGhSwHCDIiGKangiZ/BNoOFaAcLDLY5qaHxY/QpwYqyKE1qaPlEAZIkAdK8eXNZsmRJfr/g2NbGjRvL8uXLtX2VtHoUIDqoUxFYMlhgsKBjJzMgbjjRfmg/GvshT4INtjmpEe1JDY2NoQ4FSMACZMKECea7HPgwYJUqVfL7BR8IvOKKK2TatGnavkpaPQoQHdQUIMyAaJiSCp5wtjLYACpKs5UMtinKNH6MPoU+RcsTbT0KkIAFCITHtm3b5IYbbpCpU6fm90vlypXNRwPTsVCA6HolFYElgwUGCzp2MgPCDIiOKfQp9Ck6ptCn0KdomaKrRwESsADRdUN61aIA0fUHBQgzIBqmpIInnK3kbKWGm37yhFkhd8S53CgeF2ISfa5o/A8FSJIEyKpVq2TYsGGydOlSwefnnYIvpKdboQDR9UgqAkvOVnK2UsdOzlZytlLHFPoU+hQdU+hT6FO0TNHVowBJkgDBd0Cuv/56GTdunPz1r3+Vxx57zHyl/LbbbtP1VBJrUYDowKYAYQZEw5RU8MTPmW3OVkZ7tpIChAJE48foU5hV1fJEW48CJEkCxDkFCydf5eTkyMGDB+Wss86Sd999V9tXSatHAaKDOhWBJYMFBgs6dnK2krOVOqbQp9Cn6JhCn0KfomWKrh4FSJIESKtWreTTTz+VM844Q1588UWpWbOmNGjQQFavXq3rqSTWogDRgU0BwgyIhimp4AlnKzlbqeGmnzxBW1HJllGUBWs/UeEJ7UfrZdzrUYAkSYCMGjVKbr31VnnjjTfkpptukrJly0rv3r3lkUceKV4PBnA1BYgO1FQElhwYOVupYydnKzlbqWMKfQp9io4p9Cn0KVqm6OpRgCRJgBTsju+++858F6RRo0a6XkpyLQoQHeAUIMyAaJiSCp74OTPH2Ur3Xo4KLhQgFCAaP0afEmxWKEoZRC2fKECSJEDWr1/v2id16tTR9lXS6lGA6KBORWDJYIHBgo6dnK3kbKWOKfQp9Ck6ptCn0KdomaKrRwGSJAFSo0YNKVGihNl8jmN48SX0atWqCY/hLZyoHBg5MGrcGHkS7MxcVGb6/ZzBjdJsJe2HflbjZ/20H/qUaGdVtXyiAEmSAIntkFmzZskXX3xhjuVNt8IMiK5HmAGJx4mYpAcmDBaCFWUUINEOoCjKgrUfCpBo248ughKhAEmRAEEHnXnmmfLhhx9q+ypp9ShAdFAz2E6PYJvBAoMFncX6t4SEAiTaARR9Cn0KfYoWAe/1KECSJECw5MopeXl55kjeG2+8Ub799lvvvScie/fulZtvvtkoyTJlykizZs1kxowZ0rFjR8G+k8qVK5v2BwwYIMOHD1fdiwJEBZNQgFCAaJiSCp4wAxJsAEUBQgGisf0o8YQ+hT5Fy3ltPQqQJAmQkiVL5u8BKVWqlJxwwgny8MMPy/nnn6/tK9d6EBUQNJMnTzbtb9q0SWrVqmUEyMiRI6Vr167W7VOA6CBLRWDJmbn4viEmwQ6MXC7BYFvnEfkdEDecaD/xqBCTaPsUrb+gAEmSANF2iE29nTt3yjHHHCMbNmyQihUrHnIpBcihSEbF4THYpgDR+gi/uBIV2/FzBjdKM9t+8YSYRD+o9Isr9CnR54pmnKIACViAFFx65dYh5cuX1/STa50vv/xSevToIX369JF58+bJYYcdJmPHjpWzzz7bZEA2b94sWVlZ5ovr48ePl3r16qnuxQyICiYuwXKBiVmheFBSgYmfwTaDhWgHC34FlRQg0eYJfUqwmeYo2Y8uguImdNtYu8RBnKNrUZylV4VdguVTXstnn30mp512mjz33HPSv39/Wbp0qXTu3FmWL19ujvqtXbu2Ofb3iSeekClTppjfu5VJkyYJfpyyfft2mTlzptfHKvZ1WKKG9wjLwAjxV5x+1ABGTOJRIibuzPEblyAFSDJsByj5jUnQwUIycCEm9CmasScI+6FPSb5YTYZP0fLJqYc4tVy5ckVe5vipxq/Pll9zc21v4VrfmRRMNSaDBw82K5i0xVqAOA3fe++9UrZsWbn22muNKJg+fbrJTgwbNkx777h6P/74o9SsWVP27dtnBliUli1bSnZ2tsmAFCzo5I0bN5pvjyQqtqosUXte/x4WAeL1/bxcR0ziUSMm7kzyC5cggwUvNlCca/zCJGgBUpx3tL2WmNCnaDnjF1foU5IvQLR9nMx6XIIV8BIspzPbtm0rH3300SF9265dO5k/f36x+vvcc881IuaCCy6QdevWmYzIkiVLzIlYECcoyGaMGDHC/F1TKEA0KAmXYLnAlIrlRn4NilEKKvEufuHCYCHawYJfPImS/RATTmroogD//GyU7EeLHQVIkgRI/fr1Zc6cOeb0K5SVK1eaE6q+/vprbV+51lu9erUMGjRItm7darIgd911l0CUdOjQwRzRiyVg1atXN0usmjRporoXBYgKJgoQChAVUVIhyihAgg2gohQsMNiO5woxCdZ+OKkR7UkN1cAo3ANiG2t7XoKFL59j+VWLFi1M33z++efypz/9Sbp3767tq6TVswUlqAfjIMCBUcMt8oTBgoYnfooyCpBoB1D0KfQp9ClaBLzXYwYkSRkQdNGWLVvMBwixB6RNmzZSo0YN7z0X4JUUIDpwUzGzzYGRokzHTv+WBnC2ksG2lnNR4Qr9LAWIlvPkihap+HoUIEkUIIA/NzfXbBp3SnGO4fXe7UVfSQGiQ5YCJB4nYpIemPg52x+VoNJPTJgBoSjTjRLR+Tijn/ZDnxJt+9HaBgVIkgTIwoULBUdurVixwmRAnBL08a1aIhSsRwGiQ43BdnoE25yB4mylzmL9ywpRgEQ7gKJPoU+hT9Ei4L0eBUiSBEjr1q1l8uTJcv3118sHH3wgjz76qPlwIE6nSrdCAaLrEQoQChANU1LBE85WBhtAUYBQgGhsP0o8oU+hT9FyXluPAiRJAgSbz/HhwMaNG0tOTo7pH3yr47333tP2VdLqUYDooE5FYMmZufi+ISbBDoxcLsFgW+cRo7PciD6FPkXLeXJFi1R8PQqQJAkQfCAQy7AgOh555BFBkH/66afLmjVrvPdeQFdSgOiApQBhBkTDlFTwhLOVwQZQUZrZZgDFSQ2NH6NPoU/R8kRbjwIkSQLk4Ycflv79+5ssSO/evc1m9HHjxsnIkSO1fZW0ehQgOqhTEVgyWGCwoGOnf/sdmAFhBkTLuahwhX422GA7KjzxU5RFaVJD6y8oQJIgQA4cOCCLFi2SVq1amX7Zv3+/7NmzRypVqqTtp6TWowDRwU0BwgyIhimp4ImfAyODBQoQDc+jFEBRgFCAaDlPrmiRiq9HAZIEAQLYnSVY3rsqeVdSgOiwTkVgSWfHDIiOncyAuOFE+6H9aOyHPKEA0fDEz4meKAl4LXYUIEkSIAMGDJC77rpL6tWrp+2blNWjANFBTwHCDIiGKangiZ8DIzMgzIBoeB6lAIoChAJEy3lyRYsUMyCxCNjG2iUOFvyIhwXuXbp0kY8++kjatWsnFStWzL/ypZdesmglOVVtQQnqqWjYnK3UcIs8YbCg4YmfoozBNkWZlnMU8PFIEZNo24/WNpgBSVIG5LnnnnPtE2RG0q1QgOh6JBUz2wy2Kcp07OQSLDecaD+0H439kCec1NDwhJMaWpTc61GAJEmAFK+bkns1BYgObwqQeJyISXpg4ufAyNnKaM9WMtimKNONeJzU4KSGlim6ehQgAQuQL7/8Ur766iu57LLLTI9cd911sm3bNvP/t9xyi/kWSLoVChBdjzDYTo9gmwEUZyt1FutfAIX7RUWY0X4oQJJtP1GxHT8neqLkU7R8ogAJWID07NlTBg8eLBdeeKHpk1NOOUVGjx4tO3fulLfffltmzpyp7auk1aMA0UFNAUIBomFKKnji58DIYIEZEA3PoxRAUZRxUkPLeXJFi1R8PQqQgAVIixYtzMcHndKsWTP5/PPPzT/PPPNM+fDDD733nojs3btXbr75ZkFHlilTRtD+jBkzZMuWLebDh6tWrZKyZcvK1KlTzQZ4TaEA0aAkkorAks6Os5U6dvo3208BQgGi5VxUuEI/SwGi5Ty5okWKAiQWAdtY2/oUrMaNG0tOTk7+fVevXp1/FG+jRo1k2bJl3ntPRIYPHy55eXkyefJkKVGihGzatElq1aolgwYNkjp16sjYsWPNRxDx9XWIkaysrIT3swUlYYMeK9CwGWxrqEOeMFjQ8AR1yBX6FA1XyBP6FA1P6FO0KLnXYwYk4AxI/fr15dNPP5XKlSsf0gM7duwwX0b/+uuvPfcglnEdc8wxsmHDhkOO9kWDOOp3zZo1UqNGDdM+PoSYnZ0tHTt2THg/CpCEEJkKzIDE40RM0gMTPwfGqMxq+4kJ2ooKLgy2Kcp0I55/Aj4qtkOfomUOBYgbAraxtnUG5O6775alS5fKM888I4cffrh5BogP7AtBBgQZCq8FG9x79Oghffr0kXnz5slhhx1m2mvatKnUrl1bdu3ald903759pWvXrmZZVqJiC0qi9rz+nQMjB0YNd8gTd5T8woXBgju+UcHFL55QlEWbJ34G21GxHT8xiZL9aMZt1GEGJOAMSG5urgwcOFBeeeUVOeGEE8wyqX//+99y8cUXy7PPPqtaElVYZ2JvyWmnnSb4xgiEBYRO586dzbIufHEdGRKnQKR069bNVYBMmjRJ8OOU7du3p3RzfKlSpcx7hGVghPjDMrggCzGJR5eYuDPOb1yCDBaSYTtAyW9Mgg4WkoELMaFP0Y5ZfnOFPiX5YjUZPkXLJ6fenj17pFy5ckVe5nCv8euz5dfcXNtbuNZ3VmqkGhMkIrCCSVusMyBOwytXrszffI6N4hAjxS0//vij1KxZU/bt22cGWBRnqRVO3Vq7di2XYP0P5CAdXnH70eb6sIgym3cqbl1i4o6gX7hExXaAkl+YBC1AimsTNtcTk3i0iAl9itaGyBUtUvH1mAEJOAPivWt0V5577rkybNgwueCCC2TdunUmI4KlWTjqt27duvmb0Hv16iXYAM9N6P6raF1P+VOLzo7BgpZJfnGFAsQd8ajg4hdPKMqizRM/BXxUbMdPTKJkP9oxChkIrHbRlCAyIJr7BlnHdruD5wxIUC8BUYETr7Zu3WqyIHfddZfZF7J582bp16+f2YiO43mnTJkiHTp0UD2GLSiqRj1U4sDIYFtDG/KEs5UanjBYCJYnUQqg6FOC5QoFSHTF6oHcXCmpOG1V67OdehQgImknQGw7UVOfAkSDEk/BckOJp2DFo5IKTPwMthksRDdY8JMnFCDR5omfXKFPiTZXcoYOlbzdu3WBVIJapatWlYbZ2UIBQgHiC6G0jXAWihkQDVfIE85WanjiZwDFYDvaARR9Cn0KfYoWAcYpXpGynexnBsQr0h6u4yBAw9bQhjxhsKDhCQVIsDyhKIu2KPPTfpgBiTZXOCbrRiQKEBecbEHRQW1fiySmANGwhjwJNrBksMBgQWOHFCDR5gkFSLB+lvYTffuJfUPbWJsZEO1I5EM9BpYUIBoakSfBDowUINEeGGk/9LMaP0sBEqyfpQCJtp91ezsKEGZAtL43rl4qNhczWGCwoCWsX1yhAIn2wOgXTxhARZsnFCAUIMkee6LkUyhAlOyxVWXKZq2rcWBksK0hDXkS7MBIARLtwJL2Qz+r8bMUIMH62SgF2/QpOouyjbW5BEuHqy+1SGIOjBoikSfBDowUIBQgGjtkABVtnlCABOtnaT/Rt5/YN6QAcelzW1C0g5NtPQaWFCAazpAnwQ6MFCDRHhhpP/SzGj9LARKsn6UAibafdXs721ibGRCtp/KhHgdGDowaGpEnwQ6MFCDRHhhpP/SzGj9LARKsn6UAibafpQBRehlbVaZs1roaB0YOjBrSkCfBDowUINEeGGk/9LMaP0sBEqyfpQCJtp+lAFF6GQoQHVA8BSseJ2KSHpgwWGCwoPNiIhQgFCDJ5gonNaIdbNOn6CzKNtbmEiwdrr7UIok5MGqIRJ4EG2wzWGCwoLFDzuBGmyec1AjWz9J+om8/sW9IAeLS57agaAcn23oMLClANJwhT4IdGClAoj0w0n7oZzV+lgIkWD9LARJtP+v2draxNjMgWk/lQz0OjBwYNTQiT4IdGClAoj0w0n7oZzV+lgIkWD9LARJtP0sBovQytqpM2ax1NQ6MHBg1pCFPgh0YKUCiPTDSfuhnNX6WAiRYP0sBEm0/SwGi9DIUIDqguOE6Hidikh6YMFhgsKDzYtyE7oYTRVmw9sNJjWgH27Qfnfe1jbXTcglW3bp1pVy5cuYHZfTo0XLJJZdIx44dZf369VK5cmXz+wEDBsjw4cMTImMLSsIGPVYgiTkzp6EOecJgQcMTP0UZZysZQGk5x2A7HiliQvvJRPuJfWfbWDttBcjcuXOlUaNGh7wfBMjIkSOla9eu2r429WxBsWrcojIDSwoQDV3IEwoQDU8oQILlCUVZtINKP+2HAiTaXOGYrBuRbGNtChAdrr7UIokpQDREIk+CDSwZLDBY0NghBUi0eUIBEqyfpf1E334imwE5/PDD5cCBA9KqVSsZP3681KhRwyzB2rx5s2RlZUmDBg3M7+vVq5dwLLFVZQkb9FiBgSUFiIY65EmwAyMFSLQHRtoP/azGz1KABOtnKUCi7Wfd3s421k7LDAj2edSpU0f2798vY8aMkZycHHnttdfku+++k9q1a8vBgwfliSeekClTpsjy5cvjcJg0aZLgxynbt2+XmTNnan2S7/VKlSolnTt3Ds0XeufNmyd5eXm+41CwQWISDy8xcaec37gEKUCSYTtAyW9Mgg4WkoELMaFP0Q5afnOFPiX5wTZ9ym+YO4flJAOTomxs8ODBsmHDBq0ZSloKkIJPv2nTJjnppJPkl19+iXspbFLfuHGjVKtWrcgXtlVlavQsK3JmjjNzGsqQJ8HOzAUZLGj618865Ap9ioZP5Al9ioYnqEOu0KdouRJbzzbWTjsBsnPnTpP5qFKlink3ZDJefvlleeedd2Tr1q1Ss2ZN83tkNEaMGCHr1q1LiJUtKAkb9FiBhk3D1lCHPGGwoOEJg4VgeYLWoyJW6VOC5UpUeEKfEixPouRT3JCyjbXTToCsXr1aevXqZZYAYakV9nhMnjzZ7AHp0KGD7N27V0qWLCnVq1c34qRJkyYJx2pbUBI26LECBwEKEA11yJNgBwEGC+74RgUX2g/9rMbP+hlsR8V2/MQkSsE2fYrOomxj7bQTILrXtKtlC4pd6/raJDEHRg1byBMKEA1PGCwEyxMGUNEWqn7aDwVItLnCMVk3ItnG2hQgOlx9qUUSU4BoiESeBBtYMlhgsKCxQwqQaPOEAiRYP0v7ib79xL4hBYhLn9uCoh2cbOsxsKQA0XCGPAl2YKQAifbASPuhn9X4WQqQYP0sBUi0/azb29nG2syAaD2VD/U4MHJg1NCIPAl2YKQAifbASPuhn9X4WQqQYP0sBUi0/SwFiNLL2KoyZbPW1TgwcmDUkIY8CXZgpACJ9sBI+6Gf1fhZLwLkYKlSIiVKxDUPn9Jo4kRp+eYc2ZmXq719kfUqlMqShed286Utm0a+/P3v5cCePTaXFFo3KrgQk/92cYkSJcwhUIUV21ibGRBfzEzXCAdGDowappAnFCAanngJoIpqNyrCjPZDP+u3/RysVElKdukiJQ8/3FWASMmSUuaII+Q/u3eZ0zv9KAj2jj6svB9NWbWxb+tWEZ/eISq4EJPfKFS6dGnzofAyZcrE8YoCxMXUbEGxslaLyhwYOTBq6EKeUIBoeEIBEizA4KZ3AAAgAElEQVRP0DpFWTzGUcHExn5K9O0r1Y47TqqUK2dmgWNLiawsOezYY2XFz9slz6fgvVSJElK/8n+/h5bMsnv9ejl44IAvt4wKLsTkv3SAuMb3+PBh8BNOOIECRGMlFCAalEQqZmVJTpceuso+1WKwTVGmpZJfXMnEAEqDcVRw8YsnFCDurIkKT7QCBMuusgYNkuOOPlpKFbL8BIF2+Tp15Ksd23wVIA0Pr6oxXV/r7Fq71lcBEgVciMlvFMvNzZV///vfcvLJJ8ctx7KNtbkEy1fTLboxDowMtjV0I0/cUfILl0wLoDScY7Ad7WDbL9uJEk/UAiQrywiQekcfLSVdsh9ohwLE3X6iggsFyG/9i4+Ef/vtt3LSSSdJKeyJKlAoQFzswBYU7YBtW4+DAAWIhjPkCQWIhifaAErbVlSEGe2HflbLeQ1XDroJkBghYgLt2rVlhQ8ZEOwgwQ+WYDEDEt+TqcCFAoQCROtT4upRgOig4xKseJyISXpg4mewHZVA209MojSzrQkqdR6Re0DccMo0+4kTICVKSDksxypbVksjq3r79+2Tr3f9arItRQmQWbNmyX333SeYkd67d68cffTR8tZbb5llMY888ohcfvnlcuSRRya897PPPitnnHGGmdFGsQm2G7RvL2XLlpVFr78uWVlZ5vozL75Y7hs9Wtq3bu1LZmhw14ukZ/9+cmHfPqb9qQ88KM899rhs27YtfyP08ccfL88884y0b9/e9X0XL14sDz/8sPzlL39JiIdbBS0mS778Uu55+GH5dvVqqXr44XLg4EG5+Lzz5I+//31+s16zQk8+8KDs2rlTbr5nXNwjdjm1qVQqX17KlSsnu3fvlquuukpuvfXWhO8a2/cJLxAxfGMGRIPU/+pQgOjAYrCdHsE2Ayh3vvqFS6YFUDrrZ7Ad5WDbL9uJklDVCng3AVLhuOMkZ+hQydu9W2teqnqlDjtMGj/6qCzb/pPZ7F6YAPn+++/l1FNPlUWLFsnvfvc70/aSJUukWbNm5rq6devK3LlzpVGjRgnv27FjRxk5cqR07drVkwDB/UZcd50MvvzyQATI1Aez5fuNG2Xso5NN+xAkpXJzZeLEidKuXTvZsGGDEU8QJBBDQZRYAYJ9EI7gcu637Jtv5IIrrpBp2dnS5ayzzK9//OknuW/yZHn47rvjBMjSrT9IiZglTEU9eyIB8q/XXjP9/Z///EcaNGggb775prRs2bJIOGL7XoMdBYgGpQJ1KEB0gFGAUIBomJIKnmiDBc3zU4C4oxQVXBhsx/cvMfE+qVGYAPETU+fpSpYrJ02feiqhAPn888/lwgsvNDPRFStWPOTlxo0bJ/fee6/Uq1fPzIhjlhsnF40ZM0b27Nkj+/fvl5tvvtnMkk+fPl2GDRtmMiWVK1eW+++/Xzo2aCCPTJsms157TXLz8qRm9ery6L33yrFHHx0HIjIgY4YNk7EPPSRfzJsn5Q877JAMyJZt22TEvffKV99+IwcOHJTLr7tWeg8cYNrBrP3FV1wuH7/9jvywebP06HeFXDtyZNw9PvvoY7nrD0Nl7pLFsm/vXunZpq3cMXq0bN682bzT888/L88995zMmzdPrrzySvn6669l37595qjYp59+2rzbe++9Z0QWMiFXX3211K9f32CAsnr1apMB+u6778y/77jjDnnnnXdMG6eccopMnTpVymzfLtfefLNUqlhRVq5ZIxu+/14Wv/HGIc86eMQIOeaoo2TcqFGFDkPA66rLLpP3Fy+WCjWqy4h7xskfr75Wdv7yi+zdu0datW8vf3xgvBGRv+z4WcYOHSqrv/lGah5zjFStVk2q16xZaAbEESC4eatWrcz79unTR95++211319wwQVG2L300ksCkXXUUUfJtGnTpHbt2vnvRAGiiTIoQCxR4ilYboClItj2c2CLSlBJAeI9gNI6gqhwhfZDAaLlvIYr6ShADhw4YILLd999Vzp06GACaCy5OuaYY8yrx2ZAkB2AwMCm4Z9++kmaN28uCxYskFq1aknsLPgzkyfLBwsWyOR77jH1X5w9W15+4w3527RprgLk7089JROffFLqn3iijBoy5BABMuCmm+TERo3kyltHyZYtW+SyjmfJQ39+Vhq3aGEEyFldL5Rb7r9PfvrxR+nW/DSZ9cnHUjNG6GBJWru69eSVhZ/Kd2vXyOw/Py+T7r1PbrjhBhNcDxo0SLAE6/bbb5cff/xRqlevbp7zgQceMNmRxx9//BAB8vHHH8t1110nOTk5pt6dd94pO3fulIceesgIMGALYYNyzz33mDbHDx9uBAiyHP968UWpWKFCHBYtzjtP7hoxQi4677wiBUjnDh1k+owZsvzn7bJr927Jy82V8hUrmqVNN11+pVx8+WVyzsUXycQxd8jP27fLuMcfk21bt8qlHTrJuT26JxQgEGAQp5988onUqFHDZIa0ff/CCy8YrJ588knT9xB3//jHP+SVV16hANE6ldh6zIDokGOwHY8TMUkPTChAKEB0XkxEE1Rq26Ioi0cqKphofUo6ChCnVxBsvv/++/L666+bwBEz/Pg+Q6wAWblypYwaNcpkTLB0CP9++eWXpXPnznECpNeFF8qSnBwz24+CwBjB6IK5cwsVIMh8dOzVS5a8+aZ0Hzgwfw9InRYtZGlOjuyoVMEcT/zgraOl+pFHyuARw40AmfjcM9KwWTPTbt/2HeXWBx+Q5m1ax93n2u49pNull8qGtWvlqKNryV1Dh5n3/Oqrr0w2Y8aMGUaETZ482QTN2BODvRCYwZ8/f/4hAgSNI7OBa1q0aCHHHXdc/nI1LFn6+eefTeYIBVkQiJu/PfaYESAnHX+83Hz99a7uAwJk7M03S7dzzzV/v338eHnno4/MMqx/zpghJ9WrJ8iAPPf449Kxe3dzZPOvO3fKw3feJZ9/8qn5xgaEWM9+V8rvx9wul3ToZPBo1rqVaS979G1SKiuryD0gyJx88803Zr/LTTfdZK6z6fu+ffsaDkGwFOz7L774ggJEO2hQgHhDisF2egTbDKCCDbYzLYDSeoOo4EL7ie9xYuLdp6SzACn4Vueff76ce+65MmLEiDgBAqHRrVs3GTp0qFnegwwIlmph30dsBqTnBRfIOR06SP8+/930XVRBQI0MSMOTT5aRd99thMrHixYdIkC+XLZMtlcs/5sAqVlTBg8fZgTIo399UU5sUN/c4rJOZ5klSUdUry6jr7nO/K5pq5Zy28QJ8tTEh+S7tWtl49p1Mnbyw3Jhi9PlsssuMzP9119/vZnl//TTT82yMmQ4MPP/6quvmndEQF1wCRbadbIjPXr0kNGjR8vChQvN/U4//XR58MEH5az/7eFw3h17QCBAmjVuLNf37+8KyaDhw6X20UfL3bfccsjfC2KE///HM8/I6eecYwTIkxMmyMrlX8s9Ux6XsuXKyYTbx5hDBLDRHIJsdPaDagHiLMHCUjT0Nd6pcePGRmRq+x5ZtS5dupisUmEl8kuwoN6hQB0VCoJccsklJoXXv39/WbVqldlshLV52ISUqDADkgih//6dAoQCRMOUVPAEz+VXEBWVQNtPTNBWVHDxiyfExN0bRIUnWvtJRwGyceNGWbt2rbRt29Z0EgLw1q1bS3Z2tlx88cVmgzqW0Th/x0w/9jZ0795dPvjgA+nUqZNZVgMBctFFF5n46oorrjBtTZ80SaY884y88txzckSVKmbPyPJvv5UmDRvGEaJgcP3D1q1y2vnnS+msLHn64YfNKVhYgtWweXPpO2KY/PDDD2YJFrIezhIsNwFyuktM98WnC+WPg682GYB/Lf3cbM7H3gQsm8JelzfeeEPmzJkjY8eONYE3gmSIC+wTcRMgmzZtkqZNm5pTsyA2sJwLBUuuIGSwB6J8+fKya9cuWbNmjRxXoUJCAZKzYoVc2K+fPDVhgpzXqZNpDxmURp06yeynnzYiLVaAPHj7GDmQlyejxt8vW7FErdPZcl7PHkaAPHTHnfLLjh1m8/2ObdvkkvYd5ZzuFydcgoX7QoQiTkYf2/Q9skfIImED+xFHHGH6ftmyZeZwA6dkhABxO8EBqgwbi0AynP7Qu3dvA3LsaQSxVkIBogkrKUDcUEpFsM0Ayp2vfuGSaQGUzvopQNxwigpX/LKdKImy4gqQVJ6CtW7dOrn22mtNcIxAGRuGsQfktttu+6+ImD7diBH8DZvQEfzfeOONUq1aNXNCEpZuoS4ECGItbMg+7LDD8jehP/5//yd//vvfTbYEG9EH9Okjfxg8uEgBgj8+8Nhjcu8jj8hrf/mLESC/bUL/1uytuOzaa6TPVQNNO4VlQNwECALh9vWOl/bnnicTn55uBAjeAcuvxo8fb46cBQYQUTgNDDEflmT961//chUguD+yJ9hsDjFSpUoV80y4z913320Cd7w7yh//+Efp0bZtQgGCuouXLjXH8GKjerWqVaVM6dJy/llnyZCrrpLDypWLEyDfrVsvI6+6SnL37Zcja9WSqjWqS5UjjjAiA5vQ7/rDH2TNt99KrWNry5FH15JKhx+uEiAQpFiiBiGBPT/avscmdBzhjM37pu9zc2Xw4MFG0GS8AMFpDzA4pNdQsF4PRoYUYlGFAkQXgjDYjseJmKQHJtpgQcP0qASVfmISpcCSwXa8FRAT75Ma6fodEI2v81JH+80LTdtev3lRVNv8EGE8OsnEJCMyIIfjIy4HDpjjxKBwsS4OR4EhJeYUbJiBgseyLAoQjTsoug6D7fQIthkseA8WNFZAAeKOUlRwof1QgGj8gFbA80voWjTj61GARA+TyAuQ9evXm6VWSIfhODQcl4a1afgdjktzCjbMYHNNrACZNGmS4Mcp27dvl5kzZ3q3omJeiY1Z2AgUloERm5hAsiALMXGZxSBPXCnnN1eCDLSTYTsAyW9M0GbYcSEm9CnaMcuGK64CJOZGQQbaOJUJJyQFXbDkBqcfhSUDkgxciEk865AYwEokLOuLLViuhaOPtaXEwWQwW/s0LvWwPg9fufzll1+kQoUKZuMVl2AFGywUo7usLw2LKLN+sWJcQEzcwfMLlyAD7WJ0u6dL/cIkaAHi6eU8XkRM4oEjJt59SqoFiEcz8HxZWASI5xf0cCEx+Q20SGdAkOFA5sPZFIRMBs6rxskNAwcONMfLOZvQe/XqZb5iyU3ouR5MKv4SLsEiJhoipYIneC6/gigKEPdejgoufvGEoizaPNH6FAoQzajgXifIzJD3p7K/kgIkQwQIBAWEBVQWkjM4Yg3HgkF44Ei1fv36mfRPmTJlZMqUKeYroIkKN6EnQui/f09FYMlggbOVOnZSgLjhRPuh/WjshzxhBkTDE9RhsB2PFDHJEAGiNRKbehQgOrQoQJgB0TAlFTzRzlZqnj8qM/1+YsLZ/mjP9lOA+CxA/ndEq9OqmemvXVtW7NhmPrhXnIKr8ZPMk40KPi+DbQqQovgb6SVYxTHcwq6lANGhmorAkgMjZ3B17GQGhBkQHVPoU+hTdEzR+RS3Y3izjj1WypYurb2NVb3dubmy8tefpWSJEuZ7F4WVWbNmyX333WdWi+zdu1eOPvpoeeutt8yJofiWA74LcuSRRya8N74Tgm9mYK8tio0AwXL5CU8+KX+fM8ccjIHvXtQ5+mi57aab5NQGDaS4S7CaVK0mC75bJ+UrVsx/DwizRbNfkWHDhpmVMfhWBfYF48OEzjsU9tLYQ4xvY+AbKjbFBpNE7RYXE7f2kylWKUAS9XDM3ylAdIBRgMTjREzSAxM8hV+BJTMg7v4gKrj4xROgREziufL/7d0JvHVT+QfwFUJmryHDGyVlTDJkqkSRkqkMhZIkpCRJ0mjIFEpEQqJUMpVZKsPfUFQqkdBAkcz0Zpb/57u03o5zzz1nn3vPvWd61udzP/d979l7n71/+5l+z/OstQYFk6o2ZbSd0Ne45Lw07emnqjnXikfNMdML0zXrvT39/qEH8kZwoxGQu+++O+92bkPmxRdfPF/dBnx2rHaewLzRZs6NbsM+anvuuWfe0qBdArLDHnvklUmPPfTQNO/cc+fzL/jpT9O/pk1LW22yyQgCInhFVKqOZgTE851xxhn5UnvttVfesfuCCy5oeunLLrssP6vd0dsZQUD+h1YQkHYkJ6W8K2Y7S4O1efnKh4djHAlVYBKYVFWgTsnKsAVQVfEdFFw6JSdBQAabqI6XgLzqwrPTtKc7swBMQbokvFoRkOuvvz7v5H3LLbckGzTXjv322y8dcMABef7srLPOmndCv//++/OWBo8//nhe5MfO59tvv33eMV0lQaXEErwHHnhgeuOyy6avHHdcOuuCC/Iu6C+ef/701QMOSFMXWeR532O37zU32ijdfOWVacp/dxKvl5jvnH12OvuSS9LM88yT/vTHm9PehxySfnvddemiM89MTz/9TJrphTOlvQ85OK2wyir51J+ce246av8D0lzzzJNet9566ZgDDxq1AlJLQC688MJMLG688cZ8nW233TbvlP7kk0/m7Rvs7O0Zl1566WSbB5USfz/nnHPSrbfemjG455578vE77bRT3jm8dgQBCQJS1Y+OOC4ISDXoIts/EqfApDcwqRosVJH0QQm0O4lJBNuDHWwHKWv8fqvgMloFpJsExF4M9kG79NJL80I8Wqi0XC266KL5QesrIA8++GAmGKoPDzzwQFpppZXSNddckxZeeOFUXwE56cgj0xXXXJOO3H//fPz3zj47/fCii9Jpxx33PBDPPP/89KVjjkk/P//8Uc0uAvLxz38+/eCKy9LUJZbIxz1w331pyvzz53//7rrr0hd22z2ddc1V6f57702brbZGOuXiC9NLX/GKdNKRX01f+cK+LQkILHbeeee8UfVnP/vZfN377rsvzf/f7zj44INzAvroo49O9RUQ2fzVV1897zOHnNjo2v+RNhiVEQQkCEiV2KLhMUFAqkEXwXZvBNtVnGK1Nzo4LSSdDLaDgESwPWz6EzZlsAhIeRpZ/ssvvzypAAiutRYtueSSIwjIbbfdltuUVExsW+D/tjewQXI9AXnnhhumX99wQ5rzv5WV0jZ1zXnnjSAghx17bCp///Ptt6dtdt01V1nWWnXVdPRBB6VSATn8tO9Nn5x/9c8uTSccfkR66IEH8r3ccuON6bq770pX/eSn6XvHH5+OO/us/D2PPPxwev1Ll2g5B0RFY8qUKekXv/hFmm+++fK5Vk5FKsyNeeyxx9JCCy2UrrzyyhEE5KabbkqrrLLK8+aOPPzww2n//ffPVZQgICP1JlqwqnqP/x4XBKQaYEFAgoBUkZRuyEkQkLEHUFXeqWMGhZhFsD3yjQcmY9efXqyANHqaDTbYIK2//vppjz32GEFAEI2NNtoo7bbbbnmOiOy+Vi3zPuoJyDve9ra03tprp/dusUVT01FasP541VXT53844TtnnJEuvPTSdOrXvpYJyCXXXJP2PfH4TECeevLJ9IaXL5lOPPectOyKK6ZpjzyS1lr8ZZlk/OKKK9L3jz+hMgEpLViqFptvvnmac84502mnnZaJhvayq6++Ok9O12blWZGz+gqIlq23vvWtuS2r2YgKyP/QCQJS1aMGAWkLqW4EluEYI1ioKqSdkpVBCbQ7ScqCgDSWwkGRlU7pziDJSVX96UUCcueddyYrOq211lpZcLVYaR069NBD0yabbJInqB977LHTP1955ZVze9Kmm26aN3VeZ5110o9+9KNMQDbeeOO01VZbpW222SZf64QjjkjHnHRS+tHJJ+e5HeaM3HTLLenVyy03Qkm233339PgTT6RjDzkkzTPXXPnz47797XTFz3/ekIAgHOu8cul00Q2/TfMtsEA6/rDD09FfPDATEJWKd6y+ZjpZC9aSS6aTjzo6HfG5z7dswfKdd911V1pqqaVyNQg2Nqu+9tpr8wphm222Wd5DDgExUd+zmvdhWEFr+eWXT/vss09673vfm/+mOqSi4qeMICBBQKrGKSOOiwpINeiCgIzEKTDpDUyqBgtVJH1QgspOYjJIgWUE25HUqGIHqupPL66Cdfvtt+elZG3KPNtss+VA2hwQgXQmESeckMmIz8xnuPfee/PEai1Kyy67bJ6g7VgERCXBpPQXvehF0yehH33iiemU00/P1RIT0bfbYov0kR12GAGrSduHHnNMOvO889IMM86Y5p1rrjT/fPOlj++8c1p1xRVHVEBcwNyOH5z4zbTQ1KnpjW/d4HkkwyT0r+63f5pn3inpzZtsnA7/zGcrERDX3XfffTPJOPvsszOZQjbEfubHXHzxxfkzOCFhyJtJ+mUS+sc+9rFcBUFYVE1OPfXU6fNpXDsISBCQqjYlCMgYkYpguzeC7QigGgtwp3AJAtIY30HBpVNyEqRssOVkPASkF/YBGaObb3laBNsjIQpMgoC0VJzRDogKSDXogoAEAakiKd2Qk6rBQpX7H5RAu5OYRLA92MF2kLKxJzVGVEBcKnZCr2Jqx70RYaMvmcxN98r3BwEJAlJJ4BsdFASkGnTdCCzDMY58N4HJ2IOFKpIeBCSC7SpyEqRssOWkKoFvSEDqoOn33a1rHyeC7aiANLOPMQm9qvf473FBQKoBFgQkKiBVJKUbclI1WKhy/0FABjuwDAIfSY0qdqCqTQkCUhXNkccNCjELUhYVkDFrQRCQatB1I7CMYCGChWrSmVKnZCUISBCQqjI3KLLSKd0ZpKpQuwTkZYsskrT/NBqDEmh7tgi2owJSpQJi1bEZZpjheYe2G2u/4Nlnn322qjHu1+PaBWWinjOcQATbVWQr5KQxSp3CZVCCyqoBVBWZG6TAslNyEpgMNlGtqj8CpBnf//602NSpaZYZZwwCUtWgmCoz00xptsUWSzc+/OD0jQjbOL3hoTEHZCQsk4mJjSatIoaAWCWtdrQbawcBGa82tHF+OMYgIFXEJeQkCEgVOakaQFW91qAQs9CfsLNVZb6yrKy2WppzjTXSi+eee0TQ5bsE2i+aOjX94ZGHOhpoLzPXPFUfpWPHPXbHHenZ//ynI9cbFFwCk+fEQb3CPiuzzDJL3l2+fgQBaaA27YLSEc1rcJHKxq7CDUSwMBKkwGRwMelksD0octJJTFxrUHAJOxsEpIILzYdUlRXzQGbYcMP0ggUXbEhA0gwzpJmnTEl3PfZoDtI6MWSXF3nRbJ24VFvXePL++0WabZ0z6sEDgktg8r83POuss6bFF198RPuVI9qNtaMC0hk1q3SVqsauysUiWBjcYDvkpLEGdAqXQdGddgKosClVEAibUgWlYdafZ7VgNZgHApPlDzssvfbH56Z/P/N0FRhbHjP7jDOla9ffqOVxnT7gdx/+cPrP44935LKDgktg8pw4IMX18z5qBSUISAO1aReUjmheg4t0KoBy6UFxAoHJSEEJTIKAVLVBISuhP1VkJeQkbEoVOYmkxsTKySDFbo2QajfWjgpIVa3swHHhBCJYqCJGIScT6wQGhbxHsDCxcjJIwULYlImVlbApjfEdFFxCf6pELtGC1RCldllZNajbPyqEOAhIFakJOYlgoYqcBAGZWDkJAjLYQWUn9WdQAu1OYhL6M/j6U/+E7cbaQ1EBMWN/gQUWqOrTu3rctGnT0hxzzNHVe+jFLw9cRr6VwCQwqaKrISeNUQpcQn9Cf6ogEHJSFaVhtyn33ntveuKJJ6rClYaCgFRGowcObJdB9sAtT8otBC4jYQ5MApMqyhdy0hilwCX0J/SnCgIhJ1VRCptSFannjgsC0h5eE350CHAEC1WFLGQlHGMVWQk5CZtSRU4cE7ISNqWKrISchE2pIietjgkC0gqhSf48FDsUu6rIhaxEsFBFVkJOwqZUkZMgICEnISdVEQhZGR9SUQHpBH4dv8YRRxyR9thjj45ft98vGLiMfIOBSWBSRa9DThqjFLiE/oT+VEEg5KQqSmFTqiIVBKQ9pOLoQCAQCAQCgUAgEAgEAoFAIBAYNwLRgjVuCOMCgUAgEAgEAoFAIBAIBAKBQCBQFYEgIFWRiuMCgUAgEAgEAoFAIBAIBAKBQGDcCAQBGTeEcYFAIBAIBAKBQCAQCAQCgUAgEKiKQBCQqkjFcYFAIBAIBAKBQCAQCAQCgUAgMG4EgoCMG8K4QCAQCAQCgUAgEAgEAoFAIBAIVEUgCEhVpPrkuGeffTb5mWGGGfrkjif+Nm+55ZY0ZcqUNP/880/8l8U3BAKBwNAhUOzuC17wguRnmMYzzzyTnzl8zjC99XjWTiLwn//8Z3rcNkz2IwhIJ6Vokq9FaI0w/P8D/he/+EVaaKGF0pxzzpl22mmn9L3vfS+9//3vT5tvvnnaaKONhi44mGSR7Muvu+KKK9KKK66Y5pprrr68/6o3/a9//SudfvrpaamllkprrbVW1dPiuDoEhpVsFH8zjCQrlKBzCBx44IFpzz33TDPPPHPnLtoHV0LUZ5xxxjRt2rT061//Or3hDW/og7ue2FsMAjKx+Hbk6hwe449oNGPHTz75ZLrxxhvTtddemwOM5ZdfviPf36sXgUs9Hpdcckl61ateleaee+70rne9Kx199NHpBz/4QZpvvvnSNttsk174whf26uOM+b7+8pe/pFlnnTUtvPDC6emnn04zzTTTmK81yCfSoUbB0y677JJl43Wve12iQ/3uGBvphff68MMPJxtlvfzlL0/vfe970x133JEWXXTR7BRjNEag2N1m+AgoLr/88nTvvfemv/3tb+kjH/lImmeeefoW0gceeCCdc845af3110+LLLJI0+d44okn0ve///2c6GF3d9xxx/TKV76yb5+9yo1XkYkq1xn0Y84///ycDFxppZWe56fFJSeddFJaddVVBxaC2k4UxEOS68UvfnFadtll8zOvt956SaxSSMn//d//pR//+Mfp1ltvTfvtt9/A61B58UFAekwFqlY17rvvvuz0COwGG2yQM7if+cxn0s9//vP0+hYjCZoAACAASURBVNe/Pm222WZphRVW6LGnG9/tjGb4S8AlEPBz1113ZWf4iU98Ir3tbW9Ljz32WPrtb3+bd5ifY445xncTPXC2Z/z73/+egxwGfvvtt0+veMUr0j777NMDd9cbt1AfhNf//5577slEDYYCLcQdYf3Qhz6UsezlwWn9/ve/zz8Ik8pes/ZC+vCPf/wjywqboQpClx588MFcHXzf+97Xy4874feGmP3whz9M73nPe/J3jVZRfuSRR3KV7Jprrkk33HBDuvrqq9Omm26afvWrX6XbbrstZzQ/+clP5s+XW265Cb/vTn1BvV29/fbb0yGHHJKfjW7wNSrKf/3rX9OXv/zl/Kz8y6677pquu+66TEA+97nPZQxVoI855phO3VpXr0M/jHnnnbfhfRSbwr/86U9/ykR+mWWW6eo9T+aX//vf/872p+BTL0f878te9rJsYyTIbr755kxE+OFtt902vfvd785tR4PSctSMmB588MFZPpZeeum0xBJLZALy0pe+NK277rrpYx/7WE4MiVnIz1FHHZWTGK9+9asn83V25buCgHQF9pQDAMrXKvso2PzjH/+YGfSLXvSirLSy+xzBnXfemaZOnZqfgDDLvlF0ws2JLrbYYn2l4FUzSxwDo+/5PS/FPfzww5NsHKWVvTv00EPTKaeckp566qn01re+NX3ta1/LTnLBBRfs0htv72ubEdHSSsOYrbnmmunb3/52dv4CydNOOy2//+22266v3n176KT8bH4aBYwlq+Qz+iPAlOn/5S9/mU4++eQsM7JPG264YfrUpz6Vjj322Px/Gah+GLKHqjbaGB5//PH00EMPpRNOOGF69UaAeNNNN6W3v/3tacstt0zkRdYRuRIEfPGLX8zBMz1ae+210+9+97t+eOyO3mOtrSEjql/kAyktVUQ2hrzssMMOuXIqmIIVWyLRs/fee6fVV189J3zOOuustMACC6RNNtkkffCDH8yy1SujBHnnnXdeTs4I/mabbbYRt/foo4/m5/T87KkElp/Pfvaz+ZlUWuEjaEJiBZ+I1u67756veeGFF+Zg9Pjjj8/V2H4b9fMn+RF/804LhuYT/uEPf8g++I1vfGO2u/BB1HQdvOMd7+i3x27rfiVuJDrZUDHHGmuskVZeeeXnVY0LUeeXyAy/e9FFF6UvfOELGcsrr7wyB+JkrKrPb+smJ+jgqp0o/I+khJhtlVVWyXLiuSUt/J+8sN3vfOc7s16de+656cwzz8zEhC33/yOPPDInTwd9BAGZhDdchWww+rIoFJbgvuUtb8nBwb777psuu+yynHFS7WDYGfvddtstO0DtVj/60Y+yMGsjEYhwnP/85z/zHIhebMMqitxq4qLASfaNoRMkMFhnn312dvpbbbVVVmgOQUAgKNMCARslzM9//vPpN7/5TXYQzoPXpz/96dx+0iuDodIGI7AxtIp5Hga+dhTnBwukS/DDuHvHjJS2B9lKvbVk7Zvf/Gb67ne/OzCT7qtO0KM/AijEW4VINprOLLnkklkX6A4CT1YWX3zxtNdee6Wdd945veQlL8k40qV+GO5TayGCbQgGvvSlL+UKxxZbbJGd/Xe+852sF29+85uz/SiZSr3HkheybKo/q622Wm6f4fwGaZTAppaMNno++oScChxf+9rXZpuhWvTVr341y83GG2+cs5MSGwJv/xbEw1Rg5frsiuoZEkMXtS2x2xM5GgVutdnkRplltlAFTACEgJAjLSGSFnRCdUeg9NGPfjTbF3ZGggwBY6PoDr3RokW/+Kh11lknJz5cmx6pMLdKqk0kLqNdu7ZqyO+wl7UkrB7P+++/P5PPb33rW/m56RX/grwjXYiYzgO/Vc6Q/kEYfIykXWnn9S5rKxRIpgofMiHJKYmBdPJFBxxwQLrqqqtya5WsvoSgeMS/yQfSRpb8+ytf+UrWoV4mIIgmooAs8a2zzDLL814xmULaVQeN/fffP9sLccuJJ56Y7YnKutiNjUa8EA540UGtvn7/9Kc/zXg4nixZMIceDcPc3iAgY7QatQa+1tkVZW0mPBT8Zz/7WXYGhI2Q+z8CQdAFUqoejJ9AEiHhEPxd7zbF1SYiwyn7gFULugi0bG/JOiiFT2Y7SS0mnrFk02DSyikx7hT+z3/+czbw+kdl7PyboZddQi5gUTKUgvePf/zj2dlzolpRTLCVkVPm9Z3KwDIKJqH7uyChV4Ygxz1dcMEF+RkRSYGj7KLgABlh9Dg/2Vmki4yoemm/YaTIC6w9N/wcr/rB0PXLROMSHJB5gY2Mkb7h0YbnlWGSjbv00kvzsQJr7SDIKgzJDlzpgOsKIpzzpje9KZNYwYeyuAAMeVf6hh+nWe9oekVeyn0IkD2PKsjFF1+cdZxOCKQ5MHZCBq0EBCo7HCV5ICd0S2XkNa95Tc7cCiC33nrrXnvMtu+nWTuHQEl2UZCMjElICA7oEiInEPC5wIocCb7ZG3ZFEgfBoFOCKwkQMuRzxE3gwRaxP7L/iAuSNxGDrxEcq7awCWQdkR5trgYdIQ8y1ci41irPKFAUSHpu13PPjmUn+R22h3whqBIjhqBdxdVz+z44srESYQJxfodsIrSt5o5MBDbNrolgqQAKhgWIfBL7653zPXRI8O0dswlsBb/q2dkQLc4f/vCH8/n8mvfL/qqgIp2CakFmP41S8SmVZO9SJp79E1vUDtho85QcQyrEIXASt7AzCJh5DBJ/bJK/CawleODubwJ5tlYrnwoh/evWUDn2vGVOaCMi5B0jC+wj+6m90HPootAiJdGn60SsIe467rjjcruZlkS6wQ/DSYymXZGd4b/ZE3orLmFf6Cd7w/+w42yJhBg9G/QRBKSNN1yyacXRUUSKJnAcrV/PORx+UWzZMhUKLUIcln8LniguQWX4DQEGw07xBVPFoSmJawMg0IJWgu58wcXss8+ejarMZgnYJ3pCrefjeAoBYlTMSRDoyxY2GgzQqaeempWagsrcIhKCBI5eJo5iUnCBOKOldURWwVwOw/NRdg7C32R9GUCBpUCd8gsW/Ia94zjhXpogKYAQMAqa3aPMKqcvG4KYCBBlaD2PIJvzhx1yS6bIgUDKe/esnlGmEumSTZHVbUX82hD/CTtUcMBRMeSIACPtvskH+fWsiAanoZql91glC06cJSKhIoC4yEAJCDlGGTeyKNjg/FTMBFhIG2LrPNf3vQIP2JI1MqndsVcHAkb+ZaMFfoJHjsv/yXvJ1AqMBFEGGyJxIYgUPNMFWMBetpMt6YcxWmtiscklkJDc8c4lcLSblcDdOydHyCmbY2KoQa4E4AJ0QfQ3vvGNHHwL2kt2l14hyCpLAk+6y87BW9LAOxDQsG2ynROR3XVtgR3byP6pyghUtL0IAmVjBdOOoRPk2P2pVPAnzlFZJwNajAxzPugA++sant2iHUgsPSsT6z379ddfn5NE/obMOw+egjM+gH3tRZvDj3ie4nfIBpnnb2FE/2Wq+SIBJFvCN/PDyIUBN8/G15fEHwJL51Td2ZRem9NQkjt8hWAa4eIvVUwbDTLLDyEb5FxgzZbSE/gJlFWB+Fu2k04IxrWwwk1wzj7xQ+SIDfrABz6QryngluggP+SGve3G0vjekXcmsScGq31nqnuGxDBf4HnJRqlmsJVsgmeEAx/EBpMNmCIZ9Myz8mlsMhshsYWgiE/4cW3jdNH74aNUHiWZvSOfOW8YRhCQim8ZESBQ+sVlnwT+DDzhEwQSMEadAnNGsgMElKGWNSHw/iYDJzAn6AwWR8V4MxDIBYEnpLItDCIyoV1C0CSrJNjwPYTU39yHoI0jcl+TPWDg+QXQ7hdRkN2QMfI3SiVbLzukUsGow4Ohp2SybYIBhEwwaSI1Y4ZgeV4KX6oasICvdizfIeD2uWenyHBnAF0P1gL7XnMIte+nEA7BJPlizLUKkY3DDjssB4+CRg4QxrKVjJt37xllamVn4MiZcpbkTAAuEEFmej2bDw/BAWen5cHwnEgWYn3QQQelr3/96zlwFijQBY5OFokTFAAIrjgCgQHiJnvH0SIt8OJEy5wgToXjQXQRG+QEdo7hUJG5fhjkwbNwfJIgnDk9EVh5dgRegCxgIg8lUHKOgFSA2WsrwiGc5q6whfTZOyrtDaO9k7vvvjtnEOkQQkGnZOAFOGyE4Elm0RwNMoLQSwKxTeSHw0daBRxICHskQ07uVKbppZYktoj8yXqTVckOMlgm4ArOBe9aVNhh507E4CvYBqTD/Us4lWSN7+WP3J9WMvcgyWG4V/aCDfaMMtmCQc/NhrAdWqokO9hTCQ2Zf9dQIWFrnYOMseFkrZ+WrUYqtf+wmwas2BQVK8TLv5F0gSD/zH/xM4JDfhap47cQD8kgyQz2Agljr8wz7EUSXyo/7AVfwJeIIehDIQUCauTRMbLvkhP0hB31fP4OEz4c2VA1ReRgiGCQHzqI9DqObYE33wxz8iSpRG5VlmBNr/29W1UjNlE84XmQCTaDLrkfz1eqWohEkRm2RuVQnOF56RPbwp5I5vBjbIwuDdeDi2PIFxmhiz4nQ2SJXrEn/eCjJ8KWuWYQkIrICnwFPxRTMCMLy0Ey2ISSsWaQGX9EggN0PIcq4yBIKEO1gyPh+KycQpFlGCi+DJ2gAgEhqBwrJRDcK/cTfAFnfW9mxcfo+GEMiqDZvXFSAmYKeMYZZ+TsI4cny+C+BXvKsZ4FZgbHRxk5dM6QUxRMCRwZM45fICoYZ0wpP4VmIATbDIYMHgwRt14mHPXgI62eX+CjLQJOCCnj7jll4WQc4QhjsiUwgJHASMYFGVUZ4jjgxxFynP202ldtS5FADgkVANIhVUatIgIAAR75UmUTKMBMO4xMkmBTcC1I4gDJGeKiOilg4iQ4VHJI1/oJn0ZK690jEmxRaddEuBBwAZLsvaDTs050FbRTRkUA5/2zq0iI4IfcIwQSG94rhy8gZGsRA89LVyy8QD4EC87j1OkPbGQeSwWIPGl/KINskRmklv0VHLHNMJTxZfd9J2IqoTHaYOvZLZlf5GCiluGlK+S8VCNgImGh2ieQMiGerNMX98+Oss0wEWAhZLBDUCSvBEkCx5/85CeZvLgemyRLy8Y4dxCW9WZrJR7YR0SXL+FjkXTvFqbm9Kgs8buqoIZ5ZMiGAJqMkS8kE74IG5kp+PSi76mt/KhUlSSmv/PT5F/iBon1zJI5/i9wlhAjN+IUxEUcI3ahn5Jb4hS+W6XeMRJI5It/Jjf8t6CdX5Jw7KWBIPC1fCq9IevukX6pZnnXiIhWVe8cdhIciKnjYON8+uJadE6ylf4Z8IKF5DB8+KlWo7TCDcqqYK2eNwhIFYRqjmG4lOIYbI6dUDFanBsCwmirCHBenCOHqqyv5EhgS9AjUBC4cwQcifI5pyoQZfz0//m77FptRnY8Bm485zaDqWTxKaIKEcOuPYHBdv8yDJRZsMRYcXgCBnjIxJTlHGVtBZYCDgpe5kP4u+wtIlMMfbv9xUWxGRn3JgjplSFQ1iolcCFDHIJ3zrgjmpyErDbjx6CXiXzun6GHSW2WeKLe80TiVVqKvHfOTemeHAiEZCi1iiBnSAZsBHcyk9o9vE+y5O8ICaMv2BBoCLBk+YtBHy824z2/kxjqRRYQ6P93X2wTAj4e5zURLUPtPLMkjUysQEh1CrlGIsqSsORDQodtpcsCHse6b8eQCYkZgTYbLJkjOUGOBFyCIXIEO4GmCoK2KUGoTK2/q0pLZoyWlSwYNZOFiZQTusI2IGXsrSSMv6kYG4iapBib4hkFkBYi8DcBFd2R1IA1jNkQxFxCTcZ6kCe+8kkSEIiH7DPfJcAkM3yCpIdWZ3JSlhLWosVXS/zwV+2MMsfCOd3Ctb7yQy88n64ExIBeeD6dHbL44hky4/nFNfw6n80PqZoIzpFaFbCyWAHbS97EMQL18aw0OZG6U/vuPLf3zcaotopPVHrYFQk8iQi+hc6IacQg/I1n9y7hIMla5iqSDTFLq+W3ywI8VdoUu22P25H1sR4bFZA2kRPs6IvV4mNyJ2UleBiwbAnyQJGRCU6MIBNgmTjGHmlxLCeAyAg8CXHt6kxVBa9eWRkAfxOkTpYiMzgy0GWehmcVRHNwDJiyK5JBwZEIJEQLAEVHwAQIjL7fpX1LAMAotNp4sf7VCcJkq2R/fb+gon45SBUnFYWyfHGbr7/jh8tky2AyhuRIZknPKTmSVSUvAu9m2deqN1UcYrecYbP75MwEQsgqmaEDgmsyITsLI0GDH+VsgYR2EEEnvRJ8j6WU3Qs6VPX9deK42iwbe8GGsVeNhrY05Hay5EUmUZCDfKpasLH0VSUM2dLOqvKlIipgVuGi34IfmWjZRj3YCAeiUia5SlioTqgEaYsVaJAj9kcQ1mjUy0WvyIn74D8EeZ5BdU/1kw8RHPmMrkj8aDND6JAUSS/VYgku1xiLrnRC/rp5DXYF4YSTIfjkeyQpVEcQOpgi8aPJRbP7lyyTXGPHemUZ4lL54U+QES3gMvUqGaoUMJGsMU8KqUXe+U2ZfDZVJQS5Z2+REPrHz5KlqkSjV3Sn9t3BQheFGMWQzCAbnl2ir1RO+SPyIs5TCVH1QEYRDaTDs4l32C3+qrbSU+ar1W9+K2Gg7c3cWfNDxGv1oxYzfs4x3WpXm0idDQLSJrqqGYJs8xQ4SqVHbRCCbApKUTlPJX3BsF5DhomCC6y1Z413gmttIKmUrvVJBUVGT8BQv/qRTDDlUb1pt3pQBR5ZfJlrSi1brSVIBsW/BQdaGLSuCRJkFZAP2UbGXhlbNmUso355VlgI5PVZqjb5ofyqScieQEr7BSctsOmFAQf3jbxyFoia1YzGk8n2XK3IRq/tmF7bUoSgkmU6ZJCrMt/D/JdOlPN7TYcmShabZex9JgMs64ngavXUgsFG0F1JEsH6aBuxdfqeOXKBkowrcsA+CJJUtQQKZd8JxAKZ0OrE9qg8Iyl0ScCkTc+P1irXKf3ooyVlmmHUi3KisuO+2FKEiz3jY9g0/sU75APYO76mE8moTlyj0/LS7vVqbW2xkX63a2vZTkkR3Q2lVatcz9/KwgaIIeIsLlCBKgtCtHvf4z1e5QcBl2hQKSMvfC4/o91XEMwH8T/IhlhFkCz7T67GOiG6F3WnYOlZxWy6VNg3yVHvFS4SH/yMyqi4BZkcjbCLZcQb2qwkYVsN5A/ZUTUyAV/CUcsbEozYaSNFEt0TkqgV1WfITbfkp9UzjefzICBjQA/bLeVKbR+CJz2hWmUIDKfeyQCvlYNkQBkMDglBUiqUqdAOxsAYWLsAoxPBWz1kCBiFlpnG7GGBFJU+0jJpmAKNdeLiaKvf1N4LYyGjJTCRLVVqluVQDVFyRhbdi4oC8tjPo52AQLaYwbPAgXdivg3nwnn2yvyA2uBAZt5PJ6tUva5D45HF2qpGs+uoKkqQ+BGkCoxkfZ2v1U0wyxmWpa21X2hXqVqRHc8zFKKJUMhMG+YwuDetQu5NICCxgZBonxEscP6yg5IMCEr9fib1995Kb/pBTugKclgy+Z4daRxPpUqAWqqsMKjP2ta+Wy0qcGy1QMB45aHb5zeTe+1tZJDPRXD5NT+SJ2QQNvRIptxcLDGD4N4cgskeqhx0X5LLkCC0ShydkpDTfWBCuArieOYu9YPu1GLPtnl32jzFLIiHimGzMVpVoxBQv+mOJApbJulbcJGQNudEsqSsxlk2bWTXkBN+WiJBUsgCEOI5slOu3y5ZnmxZa/f7goC0i1hKOYOvosCYyDh1YrQTRGDJSoSyheYAyHZxygJvGRi/Bd4+J8iIkdYx1ZiJICC1/ejjxaIK0Sh7jMiKcwRKwZb6KyuPwYNiC7CsioSIyfxoc1OdkpUqPb7jvd/JPL9V8KQVCQljTLXPyJp4VhkuclCWSoQJhzNoo591qMq7oPNIpBYk5X8EslH5vjgreiJTy07pV6YvgiGVBlnRsnyojBtnKQiVOGAjEFOlf61xreSuyr1XOUYSQ8uqtgeZe/diQQKtRFojJFEMOCBHZQnPRvfXLIgedDmpgrVjTLYnC+wBudCaWuvPEDoBD8Kh9cQxWobLMuveyWTJRtVnGutxVUg2+yrBSPcktCT0VOm0+0n4yVhLdqmAaGtSPaQ/bK2WOH64zNUZ632O5bz6yk/93Lh2rjkMutOqe6AKXgiIVnAVDnizp5IlCA8iytapbEgamGeknZSM0C9dHFoAJVgktyVgyjWqfHc/HRMEpAtvqzhHgl4layVYFixgzxixwEJvvLkC/m5Sosy/HkHzCPydg7ZaB+OIsGh/QkyqfN9EQiJAdp/ur9U8D/NLipIKRkxOlllixGWWkCrPr9qBgMn0IIYy/qocSs3aFSi8AEtZlZMV0PjptVHVmZf3r6VPsChAkFXhHGVcTJBT+YIdWRBglFXW4IOsycBU/b5ew8n9DJsOcVxleWVyXPr5tVEg2vRaJk8rBRugfUBWXFWSfTBXQObTnA+BJ11SYWAjnG++UQlKyYtzyEm7E2/HKyt0W2ZZFpCO60UvLatjkddhk5OCfz1W5unJ+NZu8CkhUTaN85lA2Qp7bCP50H6jUkyuBEhsDTtT9rzQcjKWdzJeGRnv+a3IBr+EjKsWs6cqGvyINkAZcvMY6ZvgkP9BNkpSR6DpPL5Wqw39lAyUBKObJru3+v7xPl+nzh8G3fGuazePrpfnqu9KzCE2Y6vYTO9bxUPCs2xuq/vCamMqvHw4GTIZXUupFjDVKPLDfiP8KlZaxCzf2496VkUOg4BUQWmMxxThbVXSFmjLVCulq1rItJjTwfgLNkwcNDnMXArZT4SEMRNMKwELTGT/GUKfCT5kWwyBqFKwQIRzr6pQY3zkhqchQQw4o65iI3MmA1s7TIBDLjyfMra5EAIRxEG7ECwopAydwNoqFp5LO5Fsv8mllJWy6/+WiYIlpafQlv0VdGvLco5McjeWl2R4GCbvT/bMu6qvStUaG+0yekNlH53DgMFFFliQ5r16Pk6PjJRBLkyIhJdnLhUiWXArAZGpfhihQ8+9JRUsWTB6VAYyrwVU1VPPsIyZgEgyQhuolke6xDmqKshc6+8mU8g6Am/CsmsIjOiDigrCrj2jbIraC3LSygGHnPzvLQl8VYC117GV/IqJtUiINityQ1bYZT6EXEhMSORopyVjfAl7KavPl1gMQ7VZ657gSBBedRLyZMpP2UuGP+Uv/ZgULhHTaOUhfobfYZORdEQf0aAHAko6BB/tMQg9DNlwPkdGW3WZn7GKFMy1ZiP22mckzZA88yNVS/gwcx57bYTuPDdnEhlhA71r757sl1EbN5Ep758PpV8qFOwzsqltWCxigjkd0epW2vH5bHOB+PHaIS5CQMipajW50i7OZqtOu5de27OpUzIcBKQDSFYtS5avknEkoH5baUJ2WlCprKtkZ9lE2RWZJ8atLFmrR5OjkIEywQ25MMlb5ltQLUulfMdBmGAl6DQng3D7f5VJUmOFYzSSxSgLjMumRI4TEPu/AAfBoPiynWUCHCNPKfWmUkQZAp8J2JEzhESGFuFAWAzKKuvgGA5AoM45IGSC8NJP7jh4d2MHVvfpHmWdEcuyZ4C+Tzhxgu5LcMAxlrkrMnACAiTTu5elZKy8awZPNUmfaO3ywgILgYgMJ8fq+rIz+sbhBtdeGqFDo78NAY9V9WTWBDilHM+5kQGkUuDEdvi/d68N0XtGQFRLyQ3nJuikg2yBbDYdsQIQO6RdhFO1LCfbIrHRjY0Z67OStciEnLTWWkRCtdz7FvzyGQiIAEkQpEVThZhPIC8SGQIcNlKVjM9BaAXzbItkkaSFhTzYYdU3QVcrUtj6Tjt/hJY9foWcl816td4i2gJBpEmFx/N5Nr4GBgJKcu9ZyT3/y0943rL5IEyRfVUQ7TUCQ1hot4EH7OgN+8x28/FsMNJWNoutsvxq51F57oqhO8+1b6ooeHe6QsRa9cO7lLgUT6kWl+qyiiD5Yk+RUXIltvK+kXZywb/ztZKjJqaTw9qh0miejbjHPUiWsr/srHMkYvl/8uNv2v27FatMlBzWXjcISBsot9ODLcg2UVCg7TeDxtjJjBA0LNhqWrJKFELWRbCoZ1svoIBSOY6gMnyEXvBI4DFshkxQIrgWmBJsAYnspmvIWJlQitjIkpc9JNp43I4cyghzghS5GEElT0GGDEPZxMj9+RsHoHyNUBmeT9bWilaMPwfCgcKUMeAk9aozCDIHjIRqh55cTocT6RVHKRPNuSnrI44GOUDQYEJmOCrvn+FBKDgwZVxLlGqTEVwKLAUNSJb2OlUUAYIqiPePcCB05IOBE3AyjtoqGERZ0NHmDnTkpTe5SOhQ+wh7f+RGRtoSswIpTlEVT9Djx0AmVL3M9yA/gkyOlEyokglIBaN0xW+6V79cKBLMRpFBJLdbI+RkfMjLvrMdgintqSrq/ILBt/AjqgTsroDI3BvZeTYEOWWDERTtnWwsu4sIs6uqAqpm3W7nbYaQ55ekExyqYCAY5hDpApDogwUMBKD8ss/ojefSTsXHspEwtAKSZB4/Imj0meuypbDhl1WVrBwnCaDiJDHED1ncQRJgMkfoTmO02TbJXPESHyjBK77wXumCmIKMs7F8rM/FL2wpH0wXvGs6ZbiO2A0ZpTfIqGQQfVNJpCdkgr0tMQh54de1wlq0AEkmf43ilF6JWyZSdoOAVES3Sg+2rLxsvay7YNMPIZKxFxwIIstOmUq2hJMhRERkTiiBYELpTjbGbpqCdAZMwKDtSIsFdkyBCL95ADLpow3CzZBqy5iogQAgDAIdxr62NC8bIAPkeeqHzJJqgOMZaw6A8UcsPLeAi2OAlTY1pVEBd5lsjqBZ354iu1avr5ONYCFJnhUm/u9ZGCQOX1VCAEkmEDFBAaLBODneDywQS8EBwqpVpuycjqDI7AkkOEJEREvaZC2j2kq+QodaITT657K2nJYM8oi5uQAAHdZJREFUWynHI5dsBWdHzxBSWTtkXZujSgliinyyO6XFoFEbZmkTUHkUuHGeqiLdGCEn40ddBVWiix1hA/gKQbEEhoyqIEmChu1QMRFY8SmCczJAzthz/kuCQ0ufCqpAXPDdq4tYlKCNjaUXCJPA0YRwbVD67JEKftHcDDqjMgQjZFybFN1BwOkAeyuJp/JI12SlSyXadenIaMvq6z6QWPQOJqtdLXRndN0h62Vn+NqjtFTRFWTED/lGTL1vSZyykA+7imhoBfdvMYf3q925+GeVED5b0lU8KPlbX2XpRhv8+C3KxFwhCEhFXFv1YFu1QMDMQBNQwaQAshh2/bhlbgOGrexmBRLOnjEUiGPHjL12CWU4f1fpKBuFuV6V5X2rrCRV8bErHUZ5Bf/uWRVGf7mgtzgDGQIZqbKeuEDIc3keWOiLFDz7OwdgdR8OD0aysYJtzkFLlupHJ5dnrfSAHTxIUIhowQkxlMXm+BEGJWEkVLWMIYNN2a1YdoZMyb6ZM8JJChwcj3C02lisF4xe6ND4BIkdKH3H3ruWLBk0feYyvIImlc+qSzVWybC127Yxvid87uyQk06gmLKNUT3nV9hkATcCIuAWQAm8JMy0VqmWSv4I1LV8CmS1KNUu0y2AkyxRsSV3VUc3bA990LZq0j0CwLZqbxEMqsZLEkr2sLueV1UaQSlLtPNJSJZqAn1io1stWd7Oc7ZzbFWcQ3eaI8XXWphGi6GKld/kQVJX4lTFowy2VleJv6lieV9sK9/sMzEInUJy6RK/LMmqqoy4SPqUJXar2Nl23vEgHRsEpMLbbKcHW+AoU4/9YsVlh00ERAbTCgiyKrJQslSMmwoJcqJUxxkIMqqux11FuCfK2IGOgdYni0wgEAgUMiXjWpbLVfb2PMqffgvA9U8iLdqCVE/goerBUXCKCMdYdqOt8Dp76hCtUogZB4hwcfDev4qICofSr1YHBs3Gaohbs92pJ5t8VgWzH3SoG8F2VfwcR78EgYJDWVgOUQV0tFFkodmeDvXnavXSguP63Rj9ICfN8O6VtqTiFyQxVM+0DgmkVN35JrIhOVaqo7VZ/JIg8py1k3PNrTBJt+y10us7Oqt+sJvIg8Qgv4R0yVh7/jJ3DlFhWyX8PFvt89e/a+fBZLS5HN3EpJ91B84TGaeU94h8Ipq+q1RDxC9IRe28SLEKv4yEIKrO87eyZK62LHHNaHMpq8RltbLl+Fr/UzWJ1A0b3cnvDAJSAc12e7DN67B6gUw+AqKsjSHrGRVAYNECTWU67LmMRkLbbCm8bhq7cs8IiMwrYiGAlhmQBUAuyvOUlUW0lMlCKUcjZLIPJpVzamVTq3YVtxguv3vF+TcTqbJXh/I8YyYTY2gxM2TZBAZVqzyt8JoMo15BhbLBb2cew2ToULeD7Sq4VTmGDBQ70Y4O1MpO+TcdlvmVGZYgsciDVh1VTMFZK3mrcr/NjulFOekFO9suruU9WZCEjTbnTPtQp7L4vbyjc7F52g/LXA3tikgW36uF1SgZ6maEox3cu41JL+oO/HpVf1QqJEL5WtVCyUBdFiojOlOQDnOk/E2bOblp1WnQTF60RJPBQmLZ6mEhGqPhEgSkooWp0oNtwqceU1l9hl7WRR+tuSB6C6usgFHVwXfb2BXYPBsy5XkpsoDFZFfZp9pnYeRNEJd16sQoTsMcEKuJIXNawHp9wMtER33F2slk3fRjm7goC9dotMq61WZOOFWVttK2V389rQnNKigTiV83dagXg+2xYl1WiRor2aj/Xi06nCPdNEeJ8xWolQSJnmarx1UlxWN9rnJeN+Wk/t57xc6OF9Pa82uzrY1kqNae9OOOzoWA6CZQyVPlaTU/sGAymk71Cya9pDtkrpf0R/u6SeUSwfyvuEGSWAWMDzYfSAzh/363Y1/r9ZO8mEtlfi555JP5/tFWIlWh1PmhG0TSoMwl6aTe9+K1goC08VZa9WAr16255prTW4+aXbpZu0e/GLvyfJa+1VZmIp+eWxiYON2p0aytSBUB6bNijzamfhxIlNY8BER1qFXVonw+WsXM/Bl99FoPlJu1Amrv035hLok+725NTJ8MHWpG4nst2O6EvBZ5sFAFp2flvDJqZQkuMnl0U+bN6nLmWEkeaPszD6BM3jWZXTulhTNkAE3IncwxWXLimWDRj4F21fdRqmNjybb2647Oo9lGmI0nsHR+r2MyGboDh36LU9yvdiqJYtUMC9y86U1vGldVo9bO1suW+axaqOttsXjJokCqcqotlkNHfpBH81EsMuIz5Egyd5BHEJA23m67Pdjl0lWrGo1updeNXRvwNT20BEqCHdkAQXOzoZfX0pKcKoU1adBcmn4ZZMlQFZOZ8bs2QGhGUGuf0XVU2fzATFZHe5vz9XxbJYuxtVCAZSdluRHlViRnonAcrw4NYrBdFetWa9hzYJZY1eZpSWcZNy0GfpssiYBqDTVfS+VN66SWK/OufK5Fx4Zt2q0sWamaqW0SKdYvrZ10LEFs1eerl+t25ruM19YOmp2t9zlV9X3QdnRuVPlsRM6byWi/YTJeGzsWfR00/WmEQTNZqrdd/Dm/q21VK6C5ehYdshCEdi/L7+uEMK/EcRK3yBEyYpEZLfuqd5KJgzyCgHTg7TbqwQ4HMDZgEQu9+drYtAtZsUWLl8BK5soqFgImmVs79Fre2OotsgX6fftttLNmO5nST2uZXpkRk/mtO26XdMbNai8yKFZRE2jKhMuIW4GMUZPplgG34dx4SPFEYFyvQ8MUbFfBs34NexOJOS7BEZ0xt0qbpxXjEFGlfMRcBcMcDmTDJFxzjRznejKASIY5WNpVrLim59nf/dv8NK0KNjrlHK0c1K3KWS3BqJ3vEnb2+dIDj9jROTAZLYCunysW+tPY+latGprDSd/MF2FrJRMtcqDjQCJQwsbfJQglgOwvosUKQTEHRYLHEtlIigq2Fi1zUVROtFObDzrIIwjIGN5usx7scADtA6qNSkBk0qv2LT9aQiirTK1KB8Jh7oLAS/bAMpCCbn/Tr249dkvTtur1bf/uJu6MKmu2WwbQ89pITksMw2ZtcTjo27dvjP5SBhBps5uxQFMlxNLGhs+QNOeYl2T51m6PZjoUwfbIt9NoDXvOD+FECjgtGTUTyDk+mbO99torZ9Ys9yzrhrzTF6tncXyOIw/aF1XHrDynAuIcLVgcI1mSBHDcZLdhQWE0ORl2O9uKoMNu2HZ0DkyebzciTumcl9M2Zf4IG8ke8rVav9ldi+moEvuxYTR/rJ1Va7V2L5VjczwREf7bRHSt0fZ/s68Iuy1JqBqiJYs9llw0V0Ur9SCPICBjfLth7MYIXN1pWL5eydIq4re16imtSdoUVVCthKl/n4JbVYyiCsRNkJUlMP9EgGU5334ZrfY7EFiaDCfI1DMqqBQEWrJZ5tvEYOuX6+WXYbEuOSMm482oqRzJbgtALTWoHQvZ6/UxrMF2s/dSv4a9VY04LW2HtTuW+7tqhypIWcJZhcwcLa135EcLFgdpkBlVEBUzlTPHcnwmT462wdpkyk/Y2ZFox47OgUlVHQz9qYrUc8epfOga4FPt2aWrwPxMSU7EQ9eFZCiCwP6aq2FoHdfyrFW1zIm1QbLWNLZbfOJziRNL7It5dDM41vUs56sCUnZp77UOhfZQrH50EJDqWE0/MhzAGEAb5RQKL5NP6QXWCImWEps52hSKgmv90F4lcBJ461U3aYvCOl6mR2BF2a373g+jnTXbDzrooEzK1lprrVwVghMiJmDUiiVghKPyrR5SbWl6+1WFtFupJtkkSWCvvQ1+vTyGNdhu9U7KGvYco2ohHdA6pSWxDO+fE1Ox0DblvZMB53KANq9U+eAAtQHUr4pWda5Aq3vtxOdhZxujGDs6j8QlMAlSNl6bI46QtJH8tBKWhKfkjFZXyU37kmlRRQ5UmiUQJUgdJ8GnK4MtlhDlp8Us5tPZE02idNq0aTl+UWVWEWGLbV7dqZVBx/v83Tg/CMgYUA9jNwbQmpxywAEH5Ay+VZtk7wVNNtDSzy5zYOWm8847L0+spfwCKgquNan0tAu2+2m0u2a7jIvNj5AyZV14actCQBAxpV2/7cGiTFw7BHKyLDLjtdnyXsZr2ILtdt+FyoWJijbvRL7LOvVa72ThtFBZ1lEGVIuA+RyISz+1KIadbSwVsaPzSFwCkyBl7drQRsfzrVqjbAKMkCyzzDJ5lSw+1OCH/VuCx15J5qaaWympI5mja0Gcws9qHzcXj91lo3UitBrDUvkoOAQBaSURDT4PYzcG0EY5RVAtw6+XUvuUoJpCmzQt+yDzYFIsEuJvAu1OjW5ne6us2S7LLZgUQJrjwpiZsKbSI7NSJpw2ehYT4rRgqS7Z24ERrELUuo1L/fsdhmC7lUzXrmEve4ZkqAjSFXt3aKFS2peBQ8q7PVm81fNU+Tzs7Ogo9eqOzlXe60QdE5g8H9nQn/YlDWY6LrQrG2IPQ7VDtcJ8VAvesLPaXc2z1Cp+zz335CXMza/UpmUBkFZj2MhGIzyCgLSSklE+70VjR6Brl2+drCUzxwjh9NNMlhRky9SaIGvpOnM+xjp6defVRs/Tas12VQuYVH2XzYxav+AyjMF2K1mvX8MemTT/o4qja3XtXv487GzrtzPZOzqPdke95H8Ck+feUuhPa/2pPUJblPZl1YsHH3wwt0lpmdK+qpqMkOgmkOAp7eCtiESvJfTaQ2Rijw4C0gF8J9PYmS9hcmjZHdvStFWD0w48as9fopd2Xq0CVrtrtpdNGb3zdt57P+EyrMF2FXkZ5mPCzj739idzR+d6eetV/xOYtLYMoT+tMUI6tLZqp1LNMBfEsuVVRtW9u6pca1iOCQIyhjc9WcaOQGufsSKNwNPybli3ycaNhg389H3rO7TW9MEHH5wnPw3KqFXwQd652PtqtLdMs8yjzwZ9R+dBkeN4jmoIhJ1tjFM9Qe/kjs6139hP/icwGSkroT/V7EztUeacavnV0qrVqnZE0rd9PFudEQSkFUINPp8oY1ey26oaZVitxsoMZZRynuXbLM1qlShL0lr9xnwB8wos26o1w2eUyETlQRuDtvNqszXb23l3g4ZLO88exw4WAmFnJ/d9hv8ZiXc/YxL6077+eN+W10VExFHRPtU+hu2cEQSkHbQ6cGxtv2Cz3kEBqWUyLQFnToSJx+ZF2Hxvxx13zBuLWQXKfg/2fnCcDcQsvYmMmLCtlGhJTvtH9MqInVdHz2rWtlRVNXwqYipf2vKUjI8++ui8SgfSyohawcPKHsip9czNA0FwyZZqmQ3obKhkMrMFAFTOLIFslTEb0bXqb+0VuYr7CARqERh2OzuaNAQuI5EJTAKTsJ7dQSAIyATiLois0qtvR2OEw4Qxu2UqnX7qU5/KKz5Z3s01/N3Sq+ecc04ODgWKgkh9nXY1FiwiKZZi1aJlVSlBqH0yrEvd7THsOxc3CwjKSlbmaSATllatr3j5v/1R9Kba10OFy+R9q3PYIGnq1KmZcNqtlUwgqGUVLJPnttpqq0xYa4f2PgTEkoGqZFZTsiGSDQ6VoN3LoE9y7rZexPePH4Gws40xDFwaVzTCJz8fl5CT8duguMLYEAgCMjbcxnSWtikBon0aBI3f+MY3cvYZWbAC1IILLph/bDJnvofdii+99NKcwbY5juU3ERHERMbbJjjWrL7uuutyJUTpUDVES5ag0prVNqkTpE7WiJ1XGyMduEyWBMb3DDsCw2Bnx/KOA5eRqAUmgclYdCnO6QwCQUA6g+PzriKjILt89dVX530bttlmm9z+8qUvfSkTD+tEW8oNQUAazNUwbr/99rzcmzX+GcZjjz02zTXXXHmHb+tTa6nxuWqCNf/ND9FS41jXk71WAdF2ZVO/yW6fiZ2LGwtT4DIBShaXHHoEhtXOtnrxgUvjyscw+uRmshJy0kqT4vOJRiAISIcR1k6j9UnFwhJujz76aN5QzxwNm+pNmTIlHXHEEZkcrLvuurk6oZLhuEMOOSS96lWvypvcaJvSarX11lun1VZbLW86Z0WradOm5ZWwrE2tImKdahvkzDfffB1+kvYvFzsXN8YscGlfluKMQKAZAsNsZwOX9nQjZGUkXoFJezIUR08MAkFAJgBXLVNaoy6++OI8t2OZZZbJk4Flwg2VD//+wAc+kHbZZZd01lln5UnA5nvo8bfJzd13353bqGyIY1ldlRSbj80999wt73iyKx/lhmLn1cavJnBpKbJxQCDQNgLDamdbARW4jEQoMAlMWulNfD75CAQBmQDMBZzHHHNMOuWUU/LVrdNuqHaoVhx44IF5eVyVjne84x3pqKOOSq94xSvSPffck6666qq8mpE2rSoTgLtFNkaDLXZebYxM4DIBihaXHGoEhtnONnvxgctIdAKTwGSojWWPPnwQkAl4Mdqitthii1y9sLOm/2uZMn/DZGSExJwNlQ7tVLPPPnvL+RpVl2WdgMcZ8yVj59XG0AUuYxapODEQmI5A2NnGwhC4jMQlMAlMwnT2HgJBQCbgnSAdlkTVTqWaYS7ICiusUOmbanf7rnRCDx0UO682fhmBSw8JadzKwCAwrHa21QsMXEYiFJgEJq30Jj6ffASCgEwA5larOuyww/JeClqtaodKBpJhM7jajecm4DYm/ZKx82pjyAOXSRfF+MIhQGBY7WyrVxu4jEQoMAlMWulNfD75CAQBmQDMkQzL6zJ62223XerH9qkJgKXpJWM32tHJSyGqzeb7WOzAxpRWW1tiiSXyppQLLLBAuuaaa9KOO+6YNya0EaH9YuwV47iVVlopnX766WmPPfZICy20UK7aWcJ5yy23nOzXH98XCLSNQNjZxpAFLiNxCUwCk7YNTJww4QgEAZlwiOML6hGInVdHDxxil97Ql0AgEAgEAoFAIBAYdASCgAz6G+6D54vdaBu/pMClD4Q3bjEQCAQCgUAgEAgE2kYgCEjbkMUJY0Ugdl4dvfIRu/SOVarivEAgEAgEAoFAIBDoNwSCgPTbG+vT+42dVxu/uMClTwU6bjsQCAQCgUAgEAgExoxAEJAxQxcntotA7EbbGLHApV1JiuMDgUAgEAgEAoFAoJ8RCALSz2+vz+49dqNt/MIClz4T5LjdQCAQCAQCgUAgEBgXAkFAxgVfnNwOArEbbWO0Apd2pCiODQQCgUAgEAgEAoF+RyAISL+/wT66/9iNtvHLClz6SIjjVgOBQCAQCAQCgUBg3AgEARk3hHGBqgjEbrSNkQpcqkpQHBcIBAKBQCAQCAQCg4BAEJBBeIt98gyxG23jFxW49IkAx20GAoFAIBAIBAKBQEcQCALSERjjIoFAIBAIBAKBQCAQCAQCgUAgUAWBICBVUIpjAoFAIBAIBAKBQCAQCAQCgUCgIwgEAekIjHGRQCAQCAQCgUAgEAgEAoFAIBCogkAQkCooxTGBQCAQCAQCgUAgEAgEAoFAINARBIKAdATGuEggEAgEAoFAIBAIBAKBQCAQCFRBIAhIFZTimEAgEAgEegyBs846K33xi19MzzzzTLKU8yKLLJIuueSSNMMMM4x6p2984xvTnnvumd7+9rd35Gn++te/plVWWSXdd999Da/3q1/9Kn36059Ot9xyS5ptttnSnHPOmT75yU+mTTfdtCPf38mLeJYf//jH6YMf/OD0y77tbW9LRx11VHr5y1/eya+KawUCgUAgMPQIBAEZehEIAAKBQKDfELj77rvTCiuskK677rq0+OKL59v/9a9/nV7zmtekF7zgBT1BQG688ca09tprp5NOOilttNFG+Z7uvPPO9JOf/CRtt912lSF/+umn00wzzVT5+NEObHWdyy67LJOzX/7yl+P+rrhAIBAIBAKBQHMEgoCEhAQCgUAg0GcIXH/99WnDDTfMlYU55phjxN3/4Q9/SLvvvnv6xz/+kT/70Ic+lHbeeeekArLaaqulq6++Ot11111pvfXWS1//+tfzMf/85z/zMbfddlt69tln02677Ta9GiAo/8hHPpL+/e9/p1lnnTV9+ctfTmuttVZqVgF5z3vekxZeeOF06KGHNkTX9/i+e+65J1dtvvCFL0yvjCBRhx12WDr33HPTqquumpZbbrl06qmnprnmmiv96U9/SnPPPXf69re/nRZbbLFcAVJVueiii/L3rLPOOunwww9PM888c3rf+96Xz4HT3/72t4QUbbvttunmm29OTz75ZD7/m9/8ZlpwwQXT0ksvne644470yle+Mv/9nHPOSS996UvTeeedl5ZffvmMS7P7Pfjgg5OqlOf53Oc+l7bffvtkjx84Il2zzDJLJlJXXXVVxjBGIBAIBALDjEAQkGF++/HsgUAg0JcICGy32GKLdOmll+Yqw5prrpm23nrrtOiiiyaZ/mWXXTYdcMABacstt8zPp0Vq/vnnzwTE79NOOy0H4I777ne/m9ZYY4201VZbpSWWWCIddNBBOYheeeWV05lnnplWXHHFtOSSS6bjjz8+veUtb0lXXnll/m4B+b333jtqC5ZraxHbbLPNGmKMCO2www6Z5Nx6661p9dVXT7/5zW/SS17yklzFce4+++yTz/3Wt76Vdtlll/z5UkstlUmNisUFF1yQjj322PSDH/wgE5AZZ5wxbbzxxpmEfOITn8gE5He/+1264oorphO1goXrIg1///vf09FHH52vV18BqSUgre73K1/5SvroRz+akL/Xvva16cEHH0w33HBDfi+ID5L18MMP5za0Zm1yfSmQcdOBQCAQCLSJQBCQNgGLwwOBQCAQ6BUEZPIvv/zydOGFF+YAWqXCfBAtT3/+859H3CYC8uEPfzhtvvnm+TPk4J3vfGeuCsw333zpt7/9bZo6dWr+TDC90EIL5fkijkM4ynj1q1+dKycqHKPNAWlGQP71r39lIvToo49m0mBssskm6V3veld697vfnQmI6o3vLwREBcQcF+Ohhx7K3+18z+L+PINx9tln53u7+OKLMwFR2dh7772n3/uRRx6Zqydweuyxx/J3IFXNCIg2t1b3i4w5xph33nkz+UA2ELnXve51mRSpWpVjekWG4j4CgUAgEOgGAkFAuoF6fGcgEAgEAh1GYIMNNkjrr79+rlI0IyC1k9AF7wiGQB0BUS1QRSkERJBvIjaSokpRS0COO+64HLyPRkCatWA98sgjaYEFFsgEoFQDEBDkAwlBQJCU0l6mAjIaAXFvfrbZZpvpBMS9qYh4LveHdBmIhtYoLWi+X5vVfvvtl4lbMwKiJaud+0UyXFMFBdFBElWrTj755FyNUVGKEQgEAoHAMCMQBGSY3348eyAQCPQlAiZzm39hHoah3UcLk9YkWXZzFvbff//cKmXUtmCNRkC0YKkW7Lvvvrm1Sub+jDPOmN6ChQSsu+66OXgX8LdqwVIBkPUXdLsnQ7uTtiltV1qazKlACMzr8H9zW0oLVj0BMY9FC5Y5GuaHCOjPP//83IJl7oV/IzNW2CqrfdUTEHNKzDW59tpr89wRlRNzX5AFk/hhUEu06luwqt5vISCzzz57rvBMmTIlz6vxvlRjtInFCAQCgUBgmBEIAjLMbz+ePRAIBPoSgdtvvz0H8X/5y1/y8rbmfZhrUOZM/PGPf8xZf6tlqSbsuuuuaaeddpoemJdleGsrIGUSOjJgjolJ584xrLZlMnWZhH7EEUfktqJWy/A6zzK8yIpg3IRwE8YF4P7m+siRe6yfhF5PQMxb0dp000035Unop5xySl4BrH4SOvLh/sok9NoKCJxUSpANrWbmzmjVQkB8hrx4JnNhGk1Cr3q/hYA88MADaccdd0xPPfVUxtT3fe1rX0svfOEL+1Lu4qYDgUAgEOgUAkFAOoVkXCcQCAQCgUBgQhBQfbEalYpMjEAgEAgEAoH+RyAISP+/w3iCQCAQCAQGGoEgIAP9euPhAoFAYAgRCAIyhC89HjkQCAQCgUAgEAgEAoFAIBDoFgJBQLqFfHxvIBAIBAKBQCAQCAQCgUAgMIQIBAEZwpcejxwIBAKBQCAQCAQCgUAgEAh0C4EgIN1CPr43EAgEAoFAIBAIBAKBQCAQGEIEgoAM4UuPRw4EAoFAIBAIBAKBQCAQCAS6hUAQkG4hH98bCAQCgUAgEAgEAoFAIBAIDCECQUCG8KXHIwcCgUAgEAgEAoFAIBAIBALdQiAISLeQj+8NBAKBQCAQCAQCgUAgEAgEhhCB/wdJ3ECtXoHy9AAAAABJRU5ErkJggg==\" width=\"999.999985098839\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fig size\n",
    "plt.figure(figsize=(10,5))\n",
    "barWidth = 0.3\n",
    "\n",
    "# set bars\n",
    "bars1 = grad_rates2019['State Non-Waiver Grad Rate']\n",
    "bars2 = grad_rates2019['State Grad Rate']\n",
    "\n",
    " # Set position of bar on X axis\n",
    "r1 = np.arange(len(bars1))\n",
    "r2 = [x + barWidth for x in r1]\n",
    "names = grad_rates2019['Corporation Name']\n",
    " \n",
    "# Make the plot\n",
    "plt.bar(r1, bars1, color='indianred', width=barWidth, edgecolor='white', label='State Non-Waiver Grad Rate', zorder=3)\n",
    "plt.bar(r2, bars2, color='lightseagreen', width=barWidth, edgecolor='white', label='State Grad Rate', zorder=3)\n",
    " \n",
    "# Add xticks on the middle of the group bars\n",
    "plt.xticks(np.arange(0,len(bars1)), [textwrap.fill(name, 10) for name in names], \n",
    "           rotation = 10, fontsize=8, horizontalalignment=\"center\")\n",
    "plt.tick_params(axis='x', pad=6) \n",
    "plt.xlabel('School Corporations')  \n",
    "plt.ylabel('Graduation Percentages')\n",
    "plt.grid(zorder=0)\n",
    "plt.ylim(45,102)\n",
    "plt.title('2019 Graduation Rates vs. Non-Waiver Graduation Rates')\n",
    "plt.yticks([50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100])\n",
    "\n",
    "# Create legend & Show graphic\n",
    "plt.legend(loc='lower right')\n",
    "plt.tight_layout() \n",
    "plt.show()\n",
    "\n",
    "# save fig size\n",
    "plt.savefig('Output_Data/2019_Grad_vs_Non-Waiver_Grad_Rates.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:PythonData] *",
   "language": "python",
   "name": "conda-env-PythonData-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}