degrees-that-pay-back.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Load all necessary packages\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.manifold import TSNE\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Undergraduate Major</th>\n",
       "      <th>Starting Median Salary</th>\n",
       "      <th>Mid-Career Median Salary</th>\n",
       "      <th>Percent change from Starting to Mid-Career Salary</th>\n",
       "      <th>Mid-Career 10th Percentile Salary</th>\n",
       "      <th>Mid-Career 25th Percentile Salary</th>\n",
       "      <th>Mid-Career 75th Percentile Salary</th>\n",
       "      <th>Mid-Career 90th Percentile Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accounting</td>\n",
       "      <td>$46,000.00</td>\n",
       "      <td>$77,100.00</td>\n",
       "      <td>67.6</td>\n",
       "      <td>$42,200.00</td>\n",
       "      <td>$56,100.00</td>\n",
       "      <td>$108,000.00</td>\n",
       "      <td>$152,000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aerospace Engineering</td>\n",
       "      <td>$57,700.00</td>\n",
       "      <td>$101,000.00</td>\n",
       "      <td>75.0</td>\n",
       "      <td>$64,300.00</td>\n",
       "      <td>$82,100.00</td>\n",
       "      <td>$127,000.00</td>\n",
       "      <td>$161,000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agriculture</td>\n",
       "      <td>$42,600.00</td>\n",
       "      <td>$71,900.00</td>\n",
       "      <td>68.8</td>\n",
       "      <td>$36,300.00</td>\n",
       "      <td>$52,100.00</td>\n",
       "      <td>$96,300.00</td>\n",
       "      <td>$150,000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Anthropology</td>\n",
       "      <td>$36,800.00</td>\n",
       "      <td>$61,500.00</td>\n",
       "      <td>67.1</td>\n",
       "      <td>$33,800.00</td>\n",
       "      <td>$45,500.00</td>\n",
       "      <td>$89,300.00</td>\n",
       "      <td>$138,000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Architecture</td>\n",
       "      <td>$41,600.00</td>\n",
       "      <td>$76,800.00</td>\n",
       "      <td>84.6</td>\n",
       "      <td>$50,600.00</td>\n",
       "      <td>$62,200.00</td>\n",
       "      <td>$97,000.00</td>\n",
       "      <td>$136,000.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Undergraduate Major Starting Median Salary Mid-Career Median Salary  \\\n",
       "0             Accounting            $46,000.00               $77,100.00    \n",
       "1  Aerospace Engineering            $57,700.00              $101,000.00    \n",
       "2            Agriculture            $42,600.00               $71,900.00    \n",
       "3           Anthropology            $36,800.00               $61,500.00    \n",
       "4           Architecture            $41,600.00               $76,800.00    \n",
       "\n",
       "   Percent change from Starting to Mid-Career Salary  \\\n",
       "0                                               67.6   \n",
       "1                                               75.0   \n",
       "2                                               68.8   \n",
       "3                                               67.1   \n",
       "4                                               84.6   \n",
       "\n",
       "  Mid-Career 10th Percentile Salary Mid-Career 25th Percentile Salary  \\\n",
       "0                       $42,200.00                        $56,100.00    \n",
       "1                       $64,300.00                        $82,100.00    \n",
       "2                       $36,300.00                        $52,100.00    \n",
       "3                       $33,800.00                        $45,500.00    \n",
       "4                       $50,600.00                        $62,200.00    \n",
       "\n",
       "  Mid-Career 75th Percentile Salary Mid-Career 90th Percentile Salary  \n",
       "0                      $108,000.00                       $152,000.00   \n",
       "1                      $127,000.00                       $161,000.00   \n",
       "2                       $96,300.00                       $150,000.00   \n",
       "3                       $89,300.00                       $138,000.00   \n",
       "4                       $97,000.00                       $136,000.00   "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('degrees-that-pay-back.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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kKcGZ/EuSJEmSlOBM/iVJkiRJSnAm/5IkSZIkJTiTf0mSJEmSEpzJvyRJkiRJCc7kX5Ik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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x264b50b1eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_matrix = np.array(data[data.columns[1:]].replace('[\\$,]', '', regex=True).astype(float))\n",
    "pca = PCA(n_components=2)\n",
    "pca_transform = pca.fit_transform(data_matrix)\n",
    "kmeans = KMeans(n_clusters=4, random_state=0)\n",
    "kmeans.fit(pca_transform)\n",
    "pca_transform.shape\n",
    "data['class'] = kmeans.labels_\n",
    "colormap = np.array(['red', 'lime', 'black', 'blue'])\n",
    "plt.figure(figsize=(16,9))\n",
    "plt.scatter(pca_transform[:,0], pca_transform[:,1], c=colormap[kmeans.labels_])\n",
    "for i, txt in enumerate(data.iloc[:,0]):\n",
    "    plt.annotate(txt, (pca_transform[i,0], pca_transform[i,1]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plot above shows the end result. Now I will explain what I did.  Since there are a total of 7 different numerical variables for each college major (Starting Median Salary, Mid-Career Median Salary, Percent change from Starting to Mid-Career Salary, etc.), it would be impossible to plot all the categories.  Thus we reduce the dimensions down to 2 so it becomes easier to visualize.  I used a popular dimensionality reduction technique called PCA (principal component analysis), which projects the 7 dimensional data down into a 2 dimensional plane while attempting to keep the structure.  Then I clustered the points together into 4 groups using the simple yet popular K-Means algorithm, an alogorithm that tries to find natural clusters within our data.  Finally, we get the above results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing pairwise distances...\n",
      "[t-SNE] Computing 49 nearest neighbors...\n",
      "[t-SNE] Computed conditional probabilities for sample 50 / 50\n",
      "[t-SNE] Mean sigma: 3611.964701\n",
      "[t-SNE] KL divergence after 75 iterations with early exaggeration: 1.177800\n",
      "[t-SNE] Error after 150 iterations: 1.177800\n"
     ]
    },
    {
     "data": {
      "image/png": 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fX8nJyZLyQ+X5p56SfHwky/rpBB8f6S9/0W3t2mnfvn2aPXt2kcrZ1WpXcL2G\nDRtq4MCB+r//+z97X4UKFbRt2zYNGjTIHot7xx13aNOmTdqyZYt69eql119/XcrMlObO1c6zZ7U8\nN1ebjdE5SedbtcqvfBeYPXu2/vSnP+mVV15Ramqq3T319OnTatOmjfz8/Ozq7Jo1axQREXHVn+ti\nXakv1f23RYsW9oRMs2bNsgP9r9G2bVt9/PHH+v777yVJR48e1TfffKMWLVooPj5eX3/9tSQVG296\nuapUqSJvb2+7e+4HH3ygVq1aFTmmSZMm2r17t7766itJ0ocffqhWrVrJz89Pu3bt0r59+2SMKfaH\nkEceeUS9e/dWr1695OZW/H/VmzRpoi+//PKK25yRkaGAgIArPg+4HhFiAQDAb2v+fKnQ7LCWpDhJ\nq9LSinaLrVGjxNNLlSql+fPna/jw4QoODpbL5brqsX0JCQkKDg5WSEiI5s6dqyeffFKS9Oijjyqo\nUyf1vvNOqUMHyd1datBAGjdOGjtWknT//ffr9ttvv6IJdYrYtUt68UVp8GCV3bRJSYmJmjp1qqpV\nq6aePXvaoe9CSH7ggQfs4P7tt9+qffv2CgwM1NixY/ND/LRpUl6eOkryklRV+c/28OnTUkHVU8rv\nQr1jxw4tWLBA27Ztk6enp6T85/raa68pKChIc+fO1dtvv63XX3/9ot/D5bhYV+qoqCilp6fb67MW\n9tZbb+m9995TUFCQPvjgA/3rX/+66vtfEBgYqJdffllt27ZVUFCQ2rVrp8OHD6t69eqaPHmyunbt\nquDgYPXu3fuq7/HBBx9oyJAhCgoKUnp6epGJxCTJx8dH06ZN07333qvAwEB5eXlpwIAB8vHx0b//\n/W+1bdtW4eHhqlixoipUqGCf161bN504cUJ9+vQp8b6F19m9XGfPnlVmZqZCQkKu+HMC1yVjjCN+\nwsLCDAAAcKCyZY3JX3216I+7uzE5Ob936y5bx44dzapVq67u5OnTjfH2NsbDI/+zlyljzH33GZOb\na4wxZt68eaZTp06mTp065quvvjLGGHPu3DlTpUoVY4wxrVq1MgsXLjTGGBMfH29atWplTN++5mXJ\njC30TP0ls9fb25jp002ZMmXs2+/fv99MnTrVBAcHm/fff98YY4rsnzdvnomJibm6z4YrdvLkSWOM\nMXl5eWbAgAFmwoQJ9r6NGzeayMjIS54/cOBAEx8ff9n3+/jjj82oUaOuqq3A/5KkRHMZ2ZBKLAAA\n+G117y7BvWN0AAAgAElEQVQVVP9s7u5S+/b5/17njh8/roYNG8rb21tt2rS5mgtIf/mLlJVld/Pd\ndfq0dn/2mbRkiaT8mY0vTB50oVI5d+5cew3Xwt107fGc7doVf65S/qRZBTPrShfvQo3fz+TJk+Vy\nueTn56esrCwNGDBAkvTaa6+pZ8+e9mzPFzNixAidOnXqsu9njNGQIUN+VZuB6wkTOwEAgN/WG29I\n69fbEzupTBmpQgXp7bd/75ZdlooVKxaZqMnd3V2BgYH2+169etkTDl2QkJCgN954Q0uWLJFWr84P\nm1lZ9v5TkgZnZen4n/8sjzp1dOutt2rq1KlasmSJfvjhBwUFBcnLy0sfffSRJGnUqFHq3Lmzypcv\nr86dO2vv3r2a8v33SvX21u3G/DQG1rKkbt3yu0IXasvYsWPl6empsmXLaubMmb/BU8KVGDp0qIYO\nHVps+4svvlhk+aiLqVmzpjp16nTZ97uwzBBwo7BMCYtpX4/Cw8PNlfb/BwAA14mcHGnxYiktTWrY\nUIqOlgrNJOwkZcuW/cUqWJEQu2SJ1Lu39OOPRQ+yLKlv3/yxrQV8fX2VmJhoz9hb2KhRo1S2bFk9\n++yzP208c0aaNEn66KP8Sagef1x64IGik1MBgENYlpVkjAn/peOoxAIAgN+eh0d+hbBbt6s6/XKC\n42/hwvIxaWlpSkxMvGQVc9myZXrqqafk4+OjOwp15x21aZPKnj2rC9EzQNISSb7e3ppZs6beCAqS\nZVkKCgqSJC1fvlwTJkywl9OZNWuWsrKyNGXKFLm7u+vDDz/UW2+9pdWrV9uhNqVtW8XGxurMmDGq\nP2+epk+frkqVKikyMlK33Xab4uPjdfz4cU2bNu2azP4LAL8nxsQCAIA/hNzc3F91fnh4uCZMmKCs\nrCy5XC77Z+7cucrOztaAAQO0ePFiJSUl6dChQz+d6OGRX3EtW1YqVy6/SlqqlLbHxGj0xx/r888/\nV2pqqv71r38pMzNT99xzT7HldHx9fRUbG6shQ4YoJSWlWBB9+OGH9Y9//ENbt25VYGCg/vrXv9r7\ncnJytHnzZo0fP77IdgBwKkIsAABwBGOMhg4dqoCAAAUGBtoTICUkJBQZHzho0CB7uRpfX18NHz5c\noaGhmjdvniIjIzV8+HBFRESoYcOG9tq0mZmZatmypUJDQxUaGlp0CZ+TJ6WAACWUKqVOZcvKu1Sp\nIsvAjBkzRklJSapUqZL69++v6OhorVmzRjt37tSsWbP0zjvv6J8LFmjP+vXS1KlSzZrS55/r8yZN\n1KNHD7vr8IX1W0tcTucSTpw4oePHj9vrlMbExGjNmjX2/nvvvVeSFBYWpszMTJUtW/YXn/X48eN1\n5syZXzzu18rMzNTs2bPt94mJiXriiSeu+X18fX3tNWN/vj0wMFBBQUFq1aqVvX7s1VyrsJ9PzNSi\nRYsrazCASyLEAgCA69fRo9IPP0iSPv30U6WkpCg1NVWrVq3S0KFDdfDgwV+8RJUqVZScnKxevXpJ\nKrkyedNNN2nlypVKTk7W3LlzfwpSK1dK+/ZJ27fnr3V7+rSUna03hgzRxIkTlZKSorVr18qrYHxv\namqqpkyZookTJ+rbb79VRkaGHn/8cTVt2lRvTZ8u9eqlbG9vqWCm4ZIMHjxYgwYN0rZt2/T2228r\nOzv71zxBu23u7u5F1m69lKsJsVdT6f55iL1Q7f5fio+P19atWxUZGanRo0dfk2v+PMRe7brGAEpG\niAUAANef9HQpLEyqVUuqUUPKytK6pUv1wAMPyN3dXdWrV1erVq30xRdf/OKlevbsWeT9zyuTknT+\n/HkNGDBAgYGB6tGjh9LT0/MPHjMmfwXWn7n9q6/09NNPa8KECTp+/LgCAgJ06NAhBQQEqGbNmpo/\nf77KlCmjdu3aydfXVydPnlRmZqaSk5O1d+9eSVLr1q01b948HT16VJJ07NgxSRdZTkdSuXLldPLk\nyWJtqVChgipVqmRXlT/44AO7KnspCQkJioyMVPfu3dW4cWP17t1bxhhNmDBBBw4cUFRUlKKioiRJ\nK1asUPPmzRUaGqoePXrY45N/baX7ueee09q1a+VyufTmm28WqaofO3ZM0dHRCgoKUrNmzbR161ZJ\n+RNc9evXT5GRkapXr16R0BsdHa2wsDD5+/tr6tSpv/gMCmvevLn2799vv//www8VEREhl8ulxx57\nrMSQXtL9nnvuObvLee/evSXJrn5fqjdBSd/Fhev5+fkpKCio6KRewB8YIRYAAFxffvwxf53TLVuk\nc+fyf/LypLlzf1pKphAPDw/l5eXZ739euSxTpkyR9yVVJt98801Vr15dqampSkxM1Llz5/IPLqF7\naZakOQVdeMeMGSN/f39lZmbmT7CUkqLQ0FDddNNN9r3uu+8+nTx5UqtXr9a///1vNWzYUJLk7++v\nF198Ua1atVJwcLCefvppSfkhrUePHgoLCysyS3Hnzp0VFxcnl8tlh8ML3n//fQ0dOlRBQUFKSUnR\nyJEjf/ExS9KWLVs0fvx4paen66uvvtL69ev1xBNPqFatWoqPj1d8fLy+//57jR49WqtWrVJycrLC\nw8M1btw4+xq/ptI9ZswYtWzZUikpKcXWMX355ZcVEhKirVu36m9/+5sefvhhe9/OnTu1fPlybd68\nWX/96191/vx5SdL06dOVlJSkxMRETZgwwf4DweVYtmyZoqOjJUk7duzQ3LlztX79eqWkpMjd3V2z\nZs0qdk5J9xszZoy8vb2VkpJS7JxL9SYo6bs4evSo4uLitH37dm3dulUjRoy47M8D3MiYnRgAAFxf\n5s7ND64/q4C2zMvT25MmKeaRR3Ts2DGtWbNGY8eO1fnz55Wenq6zZ88qKytLq1evLjI7cEkOHz6s\ngQMHav/+/QoLC9OBAwfUvn17ubm56f333/+p6lajhlSoOidJuZL2VK2q+rt2KTMzU8HBwdq5c6ci\nIiIUGRmZv6yO8rsWS5K3t7feeOMNvfHGG5o+fXqRa8XExCgmJqbItq5du6pr167F2tywYUO7Gimp\nyOROLpdLmzZtKnZOQkKC/brqDz8oc9YslW3f3t4WERGh2rVr29fIzMws9uw2bdqk9PR03X777ZKk\nc+fOqXnz5vb+y610Dxo0yA6EhdfdvZh169bpk08+kZRftT569Kh+LFimqGPHjvLy8pKXl5duuukm\nHT58WLVr19aECRMUFxcnSdq3b592796tKlWqXPI+UVFROnbsmMqWLatXX31VkrR69WolJSWpadOm\nkqSsrCz7DxOFXen91q1bV2JvgvLly5f4XTRr1kylS5fWI488ok6dOl3R2rDAjYxKLAAAuL589VX+\n2NMCOZK8JHXLyVFQxYoKDg5W69at9frrr6tGjRq65ZZbdP/99ysgIED333+/QkJCLnl5Y4yio6PV\nvHlz3XzzzUpKStJHH32klStX2oHUrt4+/XTxNVd9fDQ+IEABAQHq0KGDJOnuu+++hg+gZIcOHVKv\nXr1Uv359hYWF6Z577rmsMKjvvpOaNZOCg6V77sl/tgWV1AtV6QULFujEiRMljpk1xuiuu+5SSkqK\nUlJSlJ6ermmF1rYtqdI9Y8YMHTlyxL5eVFSUPDw8ile6r9KFdks/VdQTEhK0atUqbdy4UampqQoJ\nCbms8cTx8fH6+uuv5XK59PLLL9ufOSYmxv7Mu3bt0qhRo4qcd7X3u5LP5OHhoc2bN6t79+5asmSJ\n/fsG/NERYgEAwPUlIiJ/OZoC2yXVl2SVLq2xo0YpLS1N27ZtK1IBfP3117V7926tWLFCn376qfr0\n6SMpfyxm4S65CQkJ+vHHH1WqVCk9++yzdqUwMjJS+/fvV3JysvLy8tSkSRMFBQVpeZkySnv3XZnq\n1bVUUqa7uwIrVtQdjz2mtLQ0LVu2TLfccou8vLzUrFkzVatWTYGBgQoJCdHLL7+s8PBwnTlzRpMm\nTdJXX32lbt266bbbblNiYqKmT5+up556ym7bO++8U6xL7QXGGHXr1k2RkZHas2ePkpKS9Pe//12H\nDx/+5efZrZuUnCxlZeV31Zakl16SNm+2D1mwYIE9JlcqOv42PDxc69ev15dffilJOn369C+G5xkz\nZhRZZqhVq1YKCAiQm5ubPvjgA7vSfbFxvlJ+pflCd9yEhARVrVpV5cuXv+g9T5w4oUqVKsnHx0c7\nd+4ssTJ9MR4eHho/frxmzpypY8eOqU2bNpo/f76+++47Sfnjc38+c/Gl7ufp6Wl3cf75Z5o7d65y\nc3N15MgRrVmzRhERERdt16lTp3TixAndc889evPNN+3qPvBHR3diAABwfencWapTR/ryS005e1YT\nJI339JQCA6XLmLDol2zfvl2hoaEl7ps2bZoqVKigL774QmfPntXtt9+udvPmKfnf/1bK5MlKXb5c\n3x89qqZNm+rOn7Vl4sSJsixL27Zt086dO9WuXTtlZGRo0qRJqlSpktLT05WWliaXyyVJuv/++/Xa\na69p7Nix8vT01Hvvvae33367xHbFx8fL09NTsbGx9rbg4GB7oqD//Oc/sixLI0aMUM+ePZWQkKBR\no0apqre30jZuVJgx+lCSJemcJL8zZ5T98suyatXShg0btGjRIuXk5Cg9PV0tW7ZUdna2QkNDlZOT\no1GjRqlJkybq0KGDfHx8JEkZGRl21fFCl1o3Nzf98MMPWr16tRITExUbG6sDBw4oKytL69ev1w8/\n/KCZM2eqTp06cnNzsyvZ7u7udgW8R48eWrNmjZo1a6YZM2boueeeU1BQkHx8fIpMclWSDh06aMqU\nKWrSpIkaNWqkZs2aXcZvw09q1qypBx54QBMnTtRLL72k0aNHq127dsrLy5Onp6cmTpyoOnXqXNb9\nHn30UQUFBSk0NLTIuNhu3bpp48aNCg4OlmVZdm+CnTt3ltimkydPqmvXrsrOzpYxpshYZOAPzRjj\niJ+wsDADAAD+IE6cMOaZZ4ypWdOY2rWNGTHCmNOnr+5aubnGvP22MUFBxtSvb/7VurV5KjbW3j1w\n4EATFBRkwsPDzX333WcaNGhggoODTXBwsPH19TXLly83Tz31lJk2bZp9zkMPPWQWLlxo9u7da/z9\n/Y0xxkRHR5vVq1fbx9xxxx0mNTXVtG/f3kRGRpp69eqZ0NBQU758eTN//nxjjDH9+/c3n376qdmx\nY4cJDw8v3va8PGOys82//vUv89RTTxXbPX/+fNO2bVuTk5NjDh06ZG655RZz4MABEx8fb8qXL2/2\nLVlicsuVM80ks1Yy30umoWTyJGOCgswPP/xgjDEmJibGzJs3z+zfv9/cd999plWrVubxxx+373Nh\n/wVlypQxxhjz2WefmebNm5vTp0+b9957z6SlpRljjGnVqpXp0qWL2b59u/3+iy++MPv37ze33HKL\n+e6778z58+dNVFSUiYuLM8YYI8ksWrTIGGPM0KFDzauvvnq53zCAG4SkRHMZ2ZDuxAAA4PpTvrz0\nxhvSgQP567S++qpUUAW8Yv37S0OGSFu3Snv2yH/NGiXPmGGPu504caJWr16tI0eOyBijt956yx4L\nuXfvXrVr1+6qP4YxRps3b5bL5bK7AdeqVcvuutu/f3/NmDFD7733nvr27fvTibm5+V1+K1TI/9x/\n/Wv+WOGfudhEQVLBpE1t2sjNGLkkZUqqIKm0pEfc3PRp/fp2ZfWCWrVqaf78+ZKKT9hUklWrVqlv\n377y8fHRjBkzlJWVZe976aWX5OfnV+T4L774QpGRkapWrZo8PDzUu3dvrVmzRpJUqlQpe+KiwpNC\nAcDPEWIBAMCNa+9e6aOPpDNn7E2tc3KUfe6cJvfvb287U7C/ffv2mjx5sj2eMSMjQ6dPn76ssYyF\nx3BmZGTom2++0cGDB1WxYkW76216erq+/PJLuVwuDR06VI888ohWrFihd999Vw888IASEhLUqlUr\ndW3YUPVee03PnTypWXl5mnTsmKYuWqQ9H30kSerTp48ef/xxzZkzR8OHD1dCQoL69eunRYsWafz4\n8ZLyJwoqW7WqNG6c3D08tFFSf0mbS5XSNx4eGrF9u6pVq6Z69erZgTEzM1MBAQGSpNKlS+vZZ59V\nQECAFi1apKVLl0rKXwLozJkzCggI0MqVK2WM0fz585WYmKjevXvL5XIpLy9Pjz32mBITEyVJ3333\nnXr16qXBgwcrOTnZfmYDBw7U+vXrFRwcrJycHHsM6ubNm/XJJ58oODhYd95556/7HQBwwyHEAgAA\nR1mwYIEsy7roOEJJOn78uCZNmpQ/eZGnZ5F9lqRteXn6v3XrVLduXUVERKh9+/Zq1KiR+vfvr+zs\nbNWrV08BAQF67LHHlJOTo27duikoKEjBwcG67bbb9Mgjj6hGjRpFrjtw4EDl5eUpMDBQPXv21IwZ\nM5SRkaF77rlHR44ckZ+fn0aMGCF/f3/997//tdcLfeaZZ5SVlWUH3dTUVE05cEA7jNEHkjIk7ZBU\nVdKjAwfa99u7d68ee+wx1a5dW507d1ZMTIwqVqyo77//3p6ESZI0YED+OOO6dXW+cmWd+MtfVPve\ne9WwSRN5eHhoyZIl2rJlS7EJluLi4pSZmamUlBQ9/fTTKleunCSpfv36MsZo+/bt8vHx0Ztvvql7\n7rlH4eHhmjRpklJSUlShQgV7ZuIDBw7oq6++0uTJkxUREaGMjAzNnDlTubm5OnfunNq2bav//Oc/\nMsbonXfeUUpKimbOnKm77rpLqampWrRo0RX9fowfP97+owSAGxMhFgAAOMpHH32kO+64Qx8VVCV/\nLicn56cQe/PNxdablfL/B2hOr17au3evNm/erOHDh6tBgwZyc3PTsmXLtG/fPqWlpSk+Pl4VKlSQ\nZVkaO3as0tLS9PDDD9vdcH19fZWWliYpv3L53rRp2vaXv2hLdraiHnpImjNH7llZmjFjhtLT0zV2\n7FidOHFCGRkZdjfglJQUtWjRwu4G3DQgQDU9POSl/FmZ2yk/eI+VtPPHH1W/fn0tWLBAhw4dUu/e\nvRUeHq5z585p0KBBev311+VyuYrMDCxJqlVLuvtunW/TRp3WrdOi5cuVlJSkcePGyc/PT+fPn9fY\nsWPVsWNHe/mbzZs367HHHpOHh4cGDBigzZs3Kzg42F671cfHR+np6apTp47Cw8OVmJioDz/8UDk5\nOerTp492796tBx98UOvWrVPFihVVqVIllS1bVnfeeaeefvppBQcHy83NTaNHj1atWrVUqlQpOzSX\nLl1a69at0zvvvPPTmr2X6WpCbElLCwG4fhFiAQCAY5w6dUrr1q3TtGnTNGfOHHt7QkKCWrZsqS5d\nusjPz0/PPfec9uzZI9egQRrq6Sm5uxe/2OOPl3iPUaNG6Y033pCUP/Oun5+fgoKC1KtXL2VmZmrK\nlCl688035XK5tHbtWmVmZqp169YKCgpSm1tu0TdDhkg7d6rPgQNasXGjpk+frvr16snLy0udO3fW\npEmT5ObmpmHDhql+/fry9vZWzZo17ft7lS9vB2835a+RK0k3SQqpWlV79uxRdHS0RowYoQYNGujF\nF19UgwYN7GWH3Nzc1LhxYy1ZskRWwRq3//73v9W8eXP5+Pho8+bN6tKli958803FxMTk38fNTenp\n6Vq6dKlKlSqlhIQEVapUyW5T9erVtWnTJv33v//Vhg0bVL16dW3ZskWenp5q1qyZJk2aJHd3d+3Z\ns0d+fn667777VKdOHeXl5WnYsGHy8fFReHi4pPxxwqVKldKZM2fk6ekpy7KUmZmpatWq6dy5cxo5\ncqSys7NVpkwZLVu2TKGhoXrwwQcVERGhkJAQLVy4UJKUm5trd3cOCgrSW2+9pQkTJujAgQOKiopS\nVFSUJKlsoeWa5s+fby+/1KdPH8XGxuq2227TsGHDdPr0afXr16/YfQBcf1hiBwAAOMbChQvVoUMH\nNWzYUFWqVFFSUpLCwsIkScnJyUpLS1PdunWVmZmptLQ0paSkSPv3S/ffLyUl5YfZihWVdeiQXPfe\na1/32LFj6tKlS7H7jRkzRnv37pWXl5eOHz+uihUrKjY2VmXLltWzzz4rSXZX3pi2bTXd11dP5ORo\nQcH5RlITy1L/Fi10MCREFSpU0M0336xjx47J3d1dGRkZOnbsmMLDwzV27Nj8LtJubtLw4dI//mFP\nPiVJ8vKSGja8oudVvXp17dixQ40aNVJcXJzdJfhy3HXXXXr77bcVFRUlDw8PHTt2TG5ubjp79qyi\no6NVq1YtZWVl6cCBA5Ly/8AQGxurBx98UNu3b9fXX3+tRYsWyd/fXxEREfr++++Vl5entLQ0TZky\nRY0aNbLH317g5uamV155RatXr9YHH3wgKX/pG39/f82ePVvHjx9XRESE2rZtq5kzZ9qV2wvtq1y5\nssaNG6f4+Pgi6wNfzLfffqsNGzbI3d1dL7zwglq3bq3p06cXuU+ZMmWu4IkD+F+gEgsAAK6ZwlWv\ny5GQkGDPSFui5GQpOlqqV0/q0kUfTZmiXr16SZJq1KihmTNn2odGRESobt269vv9+/crPT09v0vx\n+vX5kzylpkr79snb21spKSmqWLGi3n33Xb3yyitFbjt58mQ1atRIp06d0k033aTKlSsrNDRUYWFh\nmjVrlo4cOWIfu3HjRj344IPSli36s4+P1hW6zv2SbjVGn65dq+nTp+v555/X888/r6NHj+r2229X\ncHCwWrduba8XahsxIn92Zi8vqVQpqVkz6Y039GWh+xZ2/vx5de/evdj2MWPGqFOnTmrRooVd7d20\naZOWLl2qZ599Vk2aNNGoUaNKvGb//v31pz/9SRXLlVNA6dKaXb26KkZE6CZvb61cuVLt27dXYGCg\n3Z26SZMm+utf/yqXy6Vly5apWrVqqlixomrWrKnXX39dUVFRWrx4sSIiItStWzf5+fnJlNDVW5I2\nbNigwMBABQQEKC8vT7Nnz5bL5VJkZKSys7P1zTffaNWqVXZ3Z0mqXLlyide6lB49esi9oEq/YsUK\njRkzpth9AFx/qMQCAIDr09q1UocOUlaWZIyO7d2rzyVt+/OfZZUurW+//VbVq1e3Z+MtXDHLzc3V\nzTffXHSJl0Jddi/HrFmz5HK5FBwcrBo1aujAgQP673//q0GDBhWbBEmS9Kc/SQWzGl9QRtJsDw+p\nZ09p0iTdfffdeuaZZ9S/f3/t3r3bDlAXREZGKjIyMv9NbKwSYmN/2ifp2+eekyTNmDHD3l67dm3t\n2rXLfl94X/fu3dWtW7ci92nUqJFWrVql4OBg5ebmateuXXaQLTzG18PDQ+Pat9e4t9+2Z3c+tnu3\n9kuqVqWK9u/fr9zcXFmWJWOMfH19tWTJEknSW2+9pYf+n737DovqTB8+/p0ZGIYmClhQQUAQlKoU\nWwiuFdQYjb2hJpqYSDTWWNZILKuJplgSjcYajRoLliixICBiQ2AoKoYi9oYo0svM8/4xeiJR03b3\nl2Tf87kuLnfOzDnnOeewu/Nw3899DxsmpRAPHjyYwYMHM3LkyBp/tHj6mVlZWbFhwwY2bNhAaGgo\nK1asAAztdr799lvc3Nyevee/wZOUakAqnvW88wsh2LVr1x8+j0wm+78jR2JlMplMJpP9x8XGxtKh\nQwf69euHu7s7Q4cOlaJuP/zwA+7u7rRq1Yrdu3dL+zy9FhXAs2tX8kpLKRGCHoAPhh6nH6vVTJo0\nCaVSycOHD2nVqpV03MmTJ+Pj40NmZibZ2dlSi5e3334bf39/PDw8mDNnzm+6Br1ez3fffYeNjQ0/\n/PADhYWFhIWFcf78efbv34+zszO9evWisrISJycnuk6ZgkN1NdWANfA9MA5wqK5mnpERgYGBHDp0\niFdeeYXi4mIaNGhAWFgY/v7+ODs7065dOwICAnBycqJv374AlJSUYG9vT/Pmzalfvz6lpaX4+vrS\ntm1baf2vtbW19K9Op2PDhg0YGRnh6OiIiYkJw4cPBwxR8rVr15Kdnc3IkSMZM2YMEyZMkCb6xcXF\nBAYG4uHhgbe3t6GA0/vv41haSv7jezIFsADqFBbSrWtX8vLycHJyonPnziQnJ+Pj40ObNm3w9vZm\nx44dXLx4kT59+uDp6YmPj4/UQmfz5s0EBgZSVlbGW2+9xaeffsqlS5fw9fVlxowZ7N+/3xBFx9D2\naPny5dLvT0pKCvBTuvOTokxPeu8KIfj444+l5/gkpVqv1xMZGfnC5/2i88hksr8eeRIrk8lkMpns\nvyIlJYXPP/+cCxcukJubS0JCAuXl5YwZM4b9+/eTlJT0bBXdpz2Omv0ANARcgG+BkGvXGP/uuzRs\n2JBZs2bRpk0bwBB9bd26NampqfTo0QMrKysGDhzI1KlTWbBgAefOnSMtLY24uDj0ev2vjn/YsGGM\nGjWKkydPYmdnx/jx41Gr1Zibm0u9Xw8fPoxWq8XCwoKjR4/i3LIlH7VowQOgmULB59bW3DEy4mpZ\nGWfPnkUIQUVFBcePH6d+/fqcOnWKs2fP4uHhQVZWFvHx8YSHh7N79258fX1xcnIiPz+fcePGSdFW\nR0dH3nrrLc6ePYu9vT3379/n4MGDgCF6nJmZiU6nIyIigsLCQhISErh27RpCCObNm8fUqVO5fPky\nkZGRZGRkSNHJefPmkZmZSVxcHGlpaXTs2BF+/FG6HxeBfcA6QCsEqsfn69OnD3q9nkaNGpGamsrL\nL79MfHy89GzOnDmDv78/ycnJ1K5dm+vXr7Nt2zYSEhIwNTVFpVKRmZmJjY0NWq2W8+fPY2RkhI+P\nD2vWrGH27NlUVVXh7e2Nh4cHs2fPBn5Kd37S+ujbb78FYMqUKezdu1cq7PS8lOrnedF5ZDLZX488\niZXJZDKZTPbvuX8fNm6EtWtrtLMJDAykcePGKJVKfH19ycvLIzMzEycnJ1xdXVEoFAwbNuzFx32c\nAusFHAECMaTnWtWpA49TRN98801WrlxJhw4dUKlUUgQTDGs0t2/fzuLFi/nuu+9o1aoVLVu25Pz5\n80uQPpEAACAASURBVKxbt67GqUaOHCmlr0aMHIl9cTHf3r/P4jp1ePcf/yD/3j2mP07lHT58uFQJ\nGMDZ2ZmQkBDatGnD+7Nm4fbFF9S1tWXSypUMzs/H1NxcmmgbGRlRq1Yt3N3dsbGxwc7ODqVSyZkz\nZygrK8PHx4elS5cCcOLECRwcHFAoFEydOlVKM164cCFgmMymp6cTEBBA9+7dKSkpITc3V7qm4cOH\no9FoaNGiBVeuXEGv1xMcHExISAhubm5oNBoSEhJo0qQJQgi+/fZbysvLpcq+derU4bCNDbeAjsAQ\nDOvQ/gmodTq27dzJ+++/T4MGDaRqywBqtZrPPvuMJUuWUFFRQWZmJhs2bKBp06bY29vzySefkJCQ\nQEBAAC4uLkRHR1NZWSkVyrK2tiYnJ4fBgwdTWlqKqakpb775JtbW1mg0Gqqqqrh165YUbQZD9PXE\nCcNqZEtLS7p06UJMTAw5OTksWbIEMzMzOnfuLKUrx8bGkpeXx7Zt26RMAY1Gw1dffUV6ejrnz5+X\nUqNlMtlfjzyJlclkMplM9sft2AH29hAeDhMmGNZOfvklACYmJtLHVCrVr/biNDIyqhEhLa9dGzQa\nmgHJGCaz/1Qqmevr+9z9NRrNM2tMAwICGD16NEuWLCE6OpqwsDAaNWr0zNpIya1b4OcHd+9CQQEe\nd+6QdOwYTJ0qfeTJdR05cuSFEV2lSgU2NtJk29jYmEWLFqHT6XB3dwcMazWf7K/X6/H19eW7777j\nX//6F0ZGRlhYWCCEwN7eHj8/P7RaLaampvTv31+6X7a2tlIf1YYNG0prWxUKBSqVioKCAlJSUggL\nC6OiooIHDx4AcPHiRdRqNRYWFty7d08qXqXRaBg4cCAxMTHk5+czuqwMM+AYYA+4AlozMxrWqcP0\n6dO5desWgwYNQqlUolAoKC8vZ9WqVbz88sukp6cDsHr1aum+2NjYMG3aNMaOHYtWq0Wr1XLp0qWf\n1gE/pVWrVmRmZlJVVcW7777Lzp07SUpK4vXXX2fWrFmAIcqakpJCWloaq1ateuYYEyZMYMKECaSn\np9O4ceMa7z0vU0Amk/09yJNYmUwmk8lkf8y9exAWZii8VFz8UzuYKVPg2rXn7uLu7k5eXh45OTkA\nbN26VXrP0dGR5ORkwNAu5/KDBzBsGDc1GswsLBim0TC1Rw+SH7eJsbS0fH6Bpaeo1WqioqIwMTHB\nysqKoqIisrKyXrzDp58aruWxl4EKvZ7VS5caIs7AlStXiI+PZ+7cuej1enQ6HV5eXqSkpODv709B\nQYG0PvNp06dPx8TEpEYV3by8PPR6Pe3atSM9PR03NzccHR2prq7Gx8eH3NxcfvzxRyli/aSIEhjW\ny+bl5REdHc3y5cu5fv16jQJPAHPefJNapaWsq10btUrFDz/8wLFjx6hVqxZCCLp3746RkRH5+fkE\nBwcjhOC7774DDNV6bzx4QIlKRQcjI84DqcDd99+HWrXo1q0bV65cqXG+S5cuUa9ePaysrABo27Zt\njQrSoaGhdOrUiZ07d0rrYwsKCnj48OEz9+vJdV66dImMjAy6dOmCr68v8+fP5/r16wB4e3szdOhQ\nNm/eLFUpftqpU6ekSf+QIUNqvPe8TAGZTPb3IFcnlslkMplM9sfs2WPoafpzVVVw7Nhzd9FoNKxe\nvZoePXpgZmZGUFCQNBHt27cvmzZtwsPDg9atW9OsWTOYNYv07t2ZOn06ShMTjG/dYuXKlYAhlTgk\nJISGDRsSExPz3POpVCrCw8PZunUr7u7uCCFwcHAADCnET7fKsbCwoNjDg9jKSlIwVAOuApyBd6ur\nebdBA6r1ehwcHDh8+LC0ZtLHx4eLFy/i4OCAs7OzFEW1srIiJyeH4uJiZs2axY8//vjc6riBgYE8\nePAAb29vAr28qC4tRaFQUFFRQVBQECdPnmT8+PEsX74cGxsbsrOz+eqrrygsLGTChAl07dqV8vJy\ndDodiYmJPx181SpO7N5NYyEgJQUjwFipZPHixZSXl2NlZcWxY8cICQkhOjqaSZMmsW7dOnJycmjW\nrBktW7akYcOGqFQqYhMTsbW0ZPuePXRdtIibN28SFhbGV199RZMmTV74KzJu3DjeffddvLy8uHnz\nJtevXyc0NJT58+fTtWtX9Ho9xsbGtGzZ8pl9n/xRQAiBh4cHp06deuYzBw4c4Pjx4+zfv58FCxZI\n0d/f4vdmCshksr8QIcTf4sfPz0/IZDKZTCb7C1mxQghTUyEMK2F/+lEqhZg1688dW0mJENXVwtzc\nXBQWFoomTZqIhw8fisWLF4s5c+YIIYQYMWKE2LFjh7SLubm5EEOHihiFQpiByH18PTtBjFaphMjN\nFUII8fDhQyGEEMHBwSIxMVEIIQQgtm/fLoQQIjw8XFhZWYlevXoJMzMz4ejoKEJDQ0VERIThHI/V\nOP+DB0IEBAhhbi6EpaUwByFCQoQoLxdCCFGvXj1x584dcfnyZeHh4SGEEKJ3794iOjpaOt5LL70k\nUlNTRUxMjOjRrZsQZmbCF8Tkx9dhDqIhiO/feENYWlqKjh07it27d4tx48YJMzMzce/ePeHp6SmW\nLVsmxo8fL3r16iXq1q0rsrKyxIgRI4SDg4Nwd3cXPj4+wsTERNy7d++ZaykrKxP29vYiKytL2v75\n558LIYRo0qSJuHfvnpg9e7Y4cuRIjcc1Z84csXjxYun1zp07Rf369cXdu3dFRUWFaNq0qTh58qQQ\nQojKykqRkZEhdDqduHz5srTNzs5OPHjwQKxfv16MGzdOtG3bVnTv3l1s27ZNCCHEV199Jd3/mJgY\n0aNHD+l848aNE+vXr/+VXyqZTPbfBpwTv2FuKKcTy2QymUwm+2N69KhRyEmi0UDv3v/34wGIi4MW\nLaBWLbC0hIoKaqnVhIWFsWzZsl/ff/JkUKsJBJweb/IyNuaIsTHvr1pFfHy8lCr7NLVazRdffIGv\nry+RkZHo9XpCQ0PRaDRkZWWxcOFCWrdu/eLzjh0LqamGlOwnKdKxsfDhh1K1YRsbmxq7BAUFsWXL\nFgB+/PFHrl69+lOP08JCMDIiCFj++PM6DJHlCVu2UFZWRnl5Ob179+bq1auUPu4D++abb7J8+XLW\nrFlDeno6W7ZsYfDgwezbtw+Ajz76CK1WS4MGDZ57GRqNhvXr19O/f3+8vLxQKpWMfarXLcDcuXPp\n3LnzM/t+9tln+Pr64urqyubNmzl27Bh169ZFrVaz83ERKR8fH3x9fTl58iQ6nY5hw4bh5eVFy5Yt\nGT9+PLVr15bWCJ88eZLPP/+cTz/9FG9vb7Kzs5/77GQy2d+PPImVyWQymUz2xzg6wpw5YGpqqCSs\nUICZGYweDf7+f/iwe/bsQaFQkJmZ+ft2PH8euneHixdBpzOs1a2uhqFDee+991i7di0lT9btUrOQ\nlF6vp7KyElq2hDlzMDcxIdbYmJNGRjR79VWSL17k7t27jBkzhrlz5z5zamNjY+Li4tBqtbzxxhuY\nmprWmLz5+PjQrl07AKZOnYqnpydJSUmGCVdVFbG7dhFcWcmrGNKXS4Am5eWYLVxIy5YtWbRoESqV\niilTpnDz5k38/f1ZuXIlV65cwcvLi86dO9OyZUspRTbxxx+JraxEAVQCphgqOx8FIjw88PT0JC0t\nDRsbG+rWrUuDBg1wdHQkLy8PU1NTunTpwoABA+jSpQuJiYn06tWLTz75hF69egGGtby2trZERETw\n+uuvk5eXx7Rp01i2bBmdOnUiJSWFAQMGkJCQQKdOnRg8eDDh4eHY2toycuRIdu7cCRjWQc+ZM4d9\n+/ZhbW3Ntm3byMrKYvPmzSxZsoTAwEBatmzJlStXOH78OMnJyXTv3p3Vq1fj5+cnVYpesWIFBw4c\noFevXnz00UesWLECCwsLGjVqxKJFi7C2tiYuLo5Hjx4xdOhQgoOD+f777zl48CDu7u6cOnWK5ORk\nevbs+ft+52Qy2Z9CnsTKZDKZTCb746ZPh9OnDcWcJk2C6Gh43CLmj9q6dSsvvfRSjaJPv8nHH0NF\nxbPbDx7EurSUAQMGsHbtWmmzo6MjSUlJAOzbt4+qqirDG23bQufOxL77LicjIri5dClmDRqwfv16\nlixZIhWfepFr165JUdM2bdqwa9cuALZt24ZOp0Or1ZKamsrRo0eZOnUqt65fB72eVGAVhn6sDYGR\nQKmFBYsWLSIjIwMwrNsNDAzk7NmzHDx4kMzMTBITE5k7d65UfbdDhw4EtG0LdeuyVKnEHCgD8gFj\njYbtxsbEx8fz4MEDBg0aRKNGjahfvz4lJSW0bt2alJQUrly5whtvvFHjuqZOnYqvry++vr4MHTpU\n2p6ZmcmhQ4c4e/YsH374IVVVVSQmJrJr1y5SU1OJiori3LlzL7xftra2JCcn8/bbb7NkyRIAFixY\nQMeOHTl79iwxMTFMnTqVkpIS1q5di5WVFYmJiSQmJrJmzRouX74MGIqBLV26lB+f6m2blJTE6NGj\niY+Pl14/3bP4rbfeIioqiqSkpBrro2Uy2V+bXNhJJpPJZDLZv8fb2/DzH1BcXMyJEyeIiYnhlVde\n4cMPPwQMaaybN29GqVQSGhrKokWLyM7OZuzYsdy7dw+VSsWOqiqcdTqmAVGAAqgGMDEhdvduUlJS\nyM/PByA8PBxXV1e+//571Go1AQEBKJVKvLy8mDp1KmVlZazasgWVSsWXa9eiUCgoKSnB2NiYyMhI\nOnToQG5uLiNGjKCqqsoQ0b1+ndKzZ4k5dIib+fn06dOH69evM2/ePBYsWEBISAgqlYrBgwejUqmo\nX78+wcHBJKanU8vFhYAff8Tu8X1oCnRVKCA0FC8vrxqFqwYMGIBSqcTV1RVnZ+cXR6w/+sgQKc/K\nMqRXV1YSHRJC0pkzBAQESJWRbWxs2Lt3L23btqV58+a4uLjQp08fXF1daxxu8eLF9OvX75nT9OjR\nAxMTE0xMTKhXrx537twhISGBV199FY1Gg0aj4ZVXXnnhM3/ttdcA8PPzY/fu3YChMvK+ffukSW15\neTlXr17l8OHDpKWlSZHcwsJCsrKyUKvVBAYG4uTkVOPYQUFBrF27lgULFnDkyBEAqRKxhYUFzs7O\n0j6DBw+u0Q5IJpP9dcmTWJlMJpPJZH8Ze/fuJSQkhGbNmmFjY0NSUhJ3795l7969nDlzBjMzM6l9\nzdChQ5k+fTp9+vShvLwc/fjx7L54Ea1ORyqGyGMAcKu8HBwcMDExkdZ+hoeHY2VlxenTp3F0dGTQ\noEEkJCTw5Zdfcvz4caKjo4mIiMDCwoIpU6YASK/9H6dK9+/fn08++YSD+/fz6VtvgYsLXyoUeFRW\nYm9hwbz338enfXtOnz5NQEAA27Zto379+s+/8KlTMXn7bTAygvJylEolJrVqwZIlKHNza1TOVTzu\nPfv062d67JaXg50dXLoE5ubw3XfQujXim28Y4e7OwoULnxmCRqPBy8uL3Nzc3/XM/t0qv0/2f3pf\nIQS7du36aY3vY0IIli9fTrdu3Wpsj42Nxdzc/L82RplM9tcipxPLZDKZTCb7c5WXw44dsHIlW9es\nYdCgQQAMGjSIrVu3cvToUUaNGoWZmRkA1tbWFBUVcePGDfr06QMYJmBmM2dyQqlkMKAC6gPBKhWJ\nHTpA7dq/OIQn0cApU6bU6BeamJhIeHj4L+7jl5RE3u3bUFHBifJyJun1VBQVcTI8nKZNmzJ06FCa\nNWvGwoULmTRpEpMmTUKn05GUlERUVBSBgYHg4gIdOsCMGdCvn2G98a5d4ODA7du3iYuLAyA/P58P\nP/wQvV7Pli1buHjxotRbduXKlfj4+NC8eXNiYmIMKcgKBcYmJlR17Ai1a9OpUyfWrl2Li4sLHh4e\nLF68+Jler6tWraJfv35S6rBKpWLfvn1MmTLlucWxioqKGDRoEE2bNiUnJ4eRI0fSuHFjtm7dSmho\nKMXFxXz//ffS5/V6vdSe6ImIiAgCAgIoKysDoFu3bowePRqFQsG5c+dISUmRtq9cuZI2bdoAhoJW\nT69z/jURERHSsdzc3MjNzSUvL4+IiAgGDRrE8ePHpet+Xu/a32LVqlU1euP+kg0bNnDz5s0/dJ7u\n3bv/4THKZH93ciRWJpPJZDLZn0erhY4dobqagqoqjpWXk37uHApbW3Q6HQqFgv79+/+2Yzk6wqBB\nkJwMeXmGiWv9+jB27PMjlU95OlL3W6N0UgRx3Tqqn6rSrAAiheC9lBSuGBnRqFEjmjdvzueff46L\niwt5eXn4+PhQUlKCg4MDDRo0MKQEm5jABx8YDtKhgyEF+GdsbW0JCQkhMDCQy5cvSym77du3R6VS\nUVFRQfPmzTE2NmbNmjWEh4fz5ptv4u3tTatWrdi4cSMVFRWYmpoCsHHjRoKCgmr0eh07dmyNolQW\nFhb06tWLuLg41q1bx7p16wA4e/YsQgg2bNjAjBkz2LZtG56enkybNg1LS0vatWvHzp07CX2cEm1l\nZUV1dTVKpZJ58+Y9c21Nmzbl7t27AMyePRsnJydMTEwYMGAALVq04Pvvv2f06NHk5eWRk5ODp6cn\ndevWZc+ePb/pef2cqakpX375JSEhITx69AgfHx+cnZ2lis9/1M+rMf+SDRs24OnpScOGDX/zPk9a\njBw8ePCPDE8m+58gR2JlMplMJpM9l0qlwtfXF09PT/r3709paSl5eXl4enr+28detWoVmzZsgFde\ngQcPoKiIneXlDAeuAHkffcS1a9dwcnLCysqK9evXS6nABQUFWFpa0rhxY2kCU1FRQWlpKUG9e7O9\nUSN0hYXcS0nheH4+gW3a0KRJEy5cuEBFRQUPHz4kOjr6V8doaWlZY7L78OFDVq1ahbe3N6mpqdy+\nfRuAvffvcxPwAdKA74DDQL4QVFZWUl1dTWBgIK6urigUClauXElGRgb169cnJycHX19fUlJSWLFi\nBUFBQbRq1YpHjx4ZqiVjKA71ZJJ5+/ZtEhMT2blzJ8bGxhw6dAhfX19OnDiBXq8nPT2dyMhIJk+e\nTHZ2NlVVVYSGhtK0aVNpclZRUUFYWBjp6en07NmT119/HW9vb2nyFRERIa1F7dChA5WVlVy4cAFj\nY2OWL19OZGQktWvXplGjRixZsoS7d++iUCgYNmwYkyZNYtGiRbz77rts2rQJV1dXdDodu3fv5u23\n38bc3BxPT09GjRpFcHAwlpaWuLq68uWXX/Lo0SPu3LnDhAkTsLCw4P79+ygUCh4+fEhqaiqWlpaY\nmpqyefNmLl26REZGBjExMTg6OjJw4ECio6OpW7cumZmZrFmzBgcHB8zNzenduzf37t3j0qVLgGEN\n78GDB2nRogWrV6/GysqKHj16oFAosLS0pG3btrRq1Yr+/fuzatUqXnvtNUxNTbG2tqZevXr4+/uT\nnJyMh4cHarUaR0dHxowZQ3h4OIsXL6Zhw4bY2dkxZ84cOnTowNixYzE1NcXKygpHR0e6du1KcXEx\nvXr1Ij4+nvbt22Nvby9FoRcvXkxAQADe3t7MmTMHMFSDdnNzIywsDE9PT65du4ajoyP5+fnk5eXR\nvHlzxowZg4eHB127dpWOlZiYiLe3N76+vlJVbJnsf4E8iZXJZDKZTPZcpqamaLVaMjIyUKvVrFq1\n6j927LFjxxLm7Q1PpUNuBfqAoVfq4wI7ffv25datW/Tq1Qt/f398fX2lCdY333zDsmXL8Pb2pl27\ndty+fZs+ffrg7e2Nj48PHTt25OOPP6ZBgwbY29szYMAAPD09GTBgAC1btnzuuCoqKjh37hy+vr58\n/fXXREVFsW3bNuLj44mKisLf35+0tDTq1asnjeMTIyPqAalAPHAPmAmcBDw8PDhw4AA7dux4pkLv\nokWLCAoKQqvVMnHiROrVq8eRI0dITk5m+/btjB8//oX3z9HRkbFjxzJx4kS0Wi1BQUEIIWjWrBnu\n7u6MHTuWPn36YGxsXGO/6upqbG1tWb58OdnZ2URGRnL+/HnS0tL45z//+cLznT17ls8//5wPP/yQ\nd955h6ZNmzJh/Hhe6dmTRo0asWbNGoqLi4mPj6dbt25otVqUSiVpaWlkZWWhUCjw9vYmOjqaoUOH\nUlZWxs6dOxk2bBihoaE0atSIKVOmYGZmRmFhIXq9nqCgIPR6Pa6urrRo0QILCwsOHjxIvXr10Ol0\npKWlERUVRVlZGdOmTZP+XbJkCa+99hqnT5+msLCQ8PBwAgICmDlzJmDoH1unTh0uXLhA8+bNOXv2\nLDt37iQlJYVvvvmGkpISrKys8Pf359ChQ2i1WurWrUtERASmpqZSdebi4mIyMjIoLS0lMzOTq1ev\nkpWVxZgxY5g0aRJJSUkUFhZSXV1NVVUV8+fPx8XFhdq1azN+/HgCAwMJCgoiJiaG+vXrc/v2bQ4f\nPkxWVhZnz55Fq9WSlJTE8ePHAcjKyuKdd97h/PnzNSLnT94bN24c58+fp3bt2lJF7FGjRvHVV1+h\n1WpRqVQvfL4y2d+NnE4sk8lkMpnsVwUFBZGWlgaATqdjzJgxnDx5kkaNGrF3715u3rxJ//79pfYz\nWVlZDBw4kOTkZKZPn86+ffswMjKia9euLFmyxFAk6f59piiVZANjgQIMkz9XwKyoiIEvv8yjR4+o\nrq5myJAhTJ8+vcaYXF1dOXbs2DNjbd++PUuWLOHixYu4u7tL2z/++GM+/vjjZz6fd/kynDwJR49i\nqtFQXFwsvbdhwwbOnTtHUFAQ9+/f55tvvgEgIyMDOztDLeGXe/YkZ8cO1gjBq9XVbFap2KZSsTcw\nEO3167i5ufHaa69x4sQJqSjU81RVVREeHi5NOJ5uFQOGCOm5c+eorKzE19eX2zduMM7BAb74AurX\nR6NW4+3tzd69e/H09OTUqVOIp9KcAWbMmIG7uzvl5eWEhoai0Wjo2LEjtWrVYseOHc8dl5GR4eui\nn58feXl5FOTn8w8TEzbdvUsxcBtoYm+PlZUVAQEBrF+/nqqqKoyMjLCwsOCzzz7jzTffpKqqin37\n9jFo0CB0Oh1dunShqKiI69evY25uzu3bt6lfvz46nQ6lUsnEiRNJSUmhRYsWuLu7k5ubyzvvvENO\nTg56vZ4LFy6QmJiIubm5tI765Zdf5tChQ2RkZDB16lQuXbpEWVkZFhYW1KtXDy8vL/Ly8pg8ebL0\nO3H06FH8/f2prq5m3759KJVKHjx4wMaNG7G1taVTp04cOXKEvn37EhUVRd26dWncuDENGzakWbNm\naDQaevbsybZt20hLS6P8cWEuMzMzVCoVISEhxMXFMWDAAJYuXUqXLl3YtGkTJ06c4ObNm4wcOZKq\nqiqysrI4fPgwhw8flv7IUlxcTFZWFg4ODjRp0kRaC/xzTk5O+Pr61nhODx8+pKioiLZt2wIwZMiQ\nGmuTZbK/MzkSK5PJZDKZ7BdVV1cTFRWFl5cX8PyoT9OmTbGyskKr1QKwfv16Ro0axf37918c7Wvc\nGFQqhgLjMEQyTwJ2pqZ86+AgRfRSU1OlL+i/xe/qM3vrFrRoASEhiDFjoLQUwsJAp/vN51u1ZQvz\n9+7lWtu2BJiY0KZ2bWZbWxObkcGXX36JWq0Gnq0q/DSVSoWbmxtRUVG4ublx/PhxKioqnkn/7N+/\nPy+//DK9OnSga2EhplotHfLyOHfmDKrKSvISE4mNjcXMzIzi4mLu3btXYz3woUOHsLGxYfTo0bz1\n1ls0btyY6upq9Ho9ISEhv3idn3zyCffv34dHjxB377IcWIshInLZyAj7x2t/jx8/ToMGDaisrKRx\n48Y0aNCAjh070rhxY44ePUpERAQqlQqtVktOTg65ubm0b99e6qN7+PBhVCoVlpaWKJVKlEolxcXF\nXL9+nRUrVmBhYYGRkVGNVO+fVzgeOXIkDRo0YN68eaxevZqOHTs+sw76ebp06YJWq0Wr1XLhwgVe\nf/116dgmJiaoVCqEEDUi3EqlEp1OhxCCGTNmMHbsWCZNmkR2djZ2dnao1Wpp3+rqaukYy5cvx9/f\nn2+//ZbLly/TtWtX6RhPxpCdnS3165WrL8tkP5EnsTKZTCaTyQwqK2H6dENBJCMjykpK8HVzw9/f\nHwcHB+nL9POiPgCjR49m/fr16HQ6tm/fzpAhQ7CyskKj0fDGG2+we/duqcIwACoVRWvXckOhoM/j\nL+EaCwvM/P0JePtt1q9fT0REBOnp6VhaWv6mS3jSZ3bt2rVs27atxnvPXWvYuzdumZmEFRfjWVyM\nALZu346XvT2enp589913gCH6bGpqipOTE15eXoSFhREUFESHDh0YMWIEb82Ywe6CAsydndlw9Cij\nxoyhpKSEadOm0bp1a7Zv30779u3R6XRUVlbi6enJmDFjpB6vJiYmGBkZodFoSEhIYPjw4TUKUf3c\nXJ0OH52OIr2e28BUoBy4cesWPXv2JDQ0FJ1Ox969exk+fDjR0dG8/vrrVFZWcvjwYfbs2UNZWRkP\nHz4kOTkZZ2dnjh8/TrNmzaRqxTqdjpycHMrLy/H29jb8gaKykjZKJdeBQcBoDJWg5924gXl+Pq+/\n/jpjxoyRqg9nZGRw7do1SktLOX36NEqlkh9++AGdTkdsbCxXrlzh8uXLnDx5kpKSEm7cuIEQosak\nDAyFuFQqFebm5ggh0D3+I0OXLl0oKSmR1ksXFhYChorJ1dXV1K9fny1btpCdnS0dy9HRUXquFy5c\nID09HQAHBwcSEhKkz5aUlEjrnn+uXr16xMXF8eDBA4QQfP/99zg4OLBu3TppLfONGzeoqqp67v5N\nmzZl5cqVmJubU1RUJFVZ7tatG+vWrZOyAW7cuCEVu/q9ateujaWlJWfOnAF45r8PMtnfmZxOLJPJ\nZDKZzCAsDPbtg8dFYUwB7c2bkJYGTk7Sx34e9XlSRKZv3758+OGHdOzYET8/P2xsbADDesro6Gh2\n7tzJihUraqYAd+5sqCAcHg537kCXLtC9Oy+rVBw/fpwDBw4wcuRIJk2aRFhY2K9ewvP6zPr5LWzG\nkQAAIABJREFU+dVYayiEoFevXhzftw8HrZYsYCPQBjAH3q+sJMnSkjparRR91mq1NGnSBLVaTX5+\nPjdv3uSbb74hLCyMuLg4LC0tKS0tpbCwEB8fH06dOkVoaCiPHj3ixx9/lNZYrly5Er1ej1arRQhB\nx44d8fb2pry8nF27djFmzBiuX7/OiRMnMDU1RafTMX36dLKzs/nmm294+PAhVVVVWEdFYaPXYwrk\nYeiJKwAT4H5JCYsWLaJz584sWLCAxMREOnTowIYNG1CpVJiamnLs2DESEhIoLCykqqqKFStWsHz5\nchwdHenbty/+/v4sXbqUO3fuoFarSUxMpEmTJlRWVnJZpyML0ACFQBXwr8pK6pw4QWFREQcPHsTM\nzEzqX1tQUMC5c+ek1OHdu3fTp08fxo4dK01czczMqFevHuXl5Wg0Gmki+ESjRo2wsLBg4MCBlJaW\nolQa4jAhISGYmprSpUsXTE1NpTTcefPmMW/ePI4dO4alpWWN6r/t2rUjOTlZSlP28PDAxMSENWvW\nYGpqire3N0IImjRp8kw/2icsLCyYOXMmgYGB3L59mzZt2uDi4kKnTp1YsGABKpWKXbt2vfAPEa1a\ntaKqqootW7YQEhKCsbEx2dnZdO3alYsXL0opwBYWFmzevPkPr2ddu3YtY8aMQalUEhwcjJWV1R86\njkz2l/OkTPdf/cfPz0/IZDKZTCb7L7l2TQiNRgiQfsxBCGNjIcLDpY9dvnxZeHh4SK8XL14s5syZ\nI70ODw8XdnZ24uDBg0IIIYqKioRSqRQ+Pj6iefPmwtjYWJSUlIg5c+aIxYsXCyGEaN26tYiMjBRC\nCFFeXi7Mzc1FXl6euHr1qujbt69Yvny5GDJkiDhw4IB0nr1794qFCxcKUVUlxLZtQgwaJMTYsaLH\nSy+Jw4cPCyGEWLp0qZg8ebIQQojJkyeLJk2aCB8fH2FsbCwcHR3F1x99JC6bmAjHx9e7FoQDiNog\nPIyNxZ49e8TXX38tJk6cKAoKCoSzs7MIDw8XUVFR4tq1a6Jv374iODhYREdHC0AMHTpU2NvbiwcP\nHoiPP/5YKJVKYWFhITw9PYWbm5sQQojXXntNGt8T6enpAhA+Pj7C2dlZGBkZCXd3d3H58mWhUqlE\nSkqKEEKIFi1aiEGDBgkhhBjRqJHYASIFRCMQr4K4AcIShLm5uYiJiRGenp6iQ4cO4ty5c6Jz585i\n6dKlYty4ceLBgwdizpw5okGDBiI2NlYEBweLkSNHigkTJojbt28LjUYjRo8eLfr27SsaN24sNBqN\n8PHxEVZWVqJ5o0ZigpGRaAxCBcL78T1zUCjE5fXrRZMmTYSzs7PIz88XQgjRpEkTce/ePXH58mXh\n4uIiXfOiRYvEvHnzxIMHD4SDg4O0PTU1tcbv139DdXW1KCsrE0IIkZ2dLRwdHUVFRcXvPk5RUZEQ\nQoiqqirRs2dPsXv37v/oOP8TnoxRCCEWLlwoxo8f/yeORib7dcA58Rvmhn9aOrFCoQhRKBSXFApF\ntkKhmP7re8hkMplMJvuvuXTJ0Kf056qqDH1Xf6OhQ4eiVCrp2rUrYEjrBNDr9ahUKvz8/J6pcvzz\nKsNCCGJjYwkNDSUnJ4ft27fj6+tboy9mr169mD55siGS+8YbsG0bBV99xbETJxg9aBCOjo4sXryY\n7777TvrS82StYcOGDUlMTOSNqVPBxgZz4DqwAFgIvKJUcnrMGLy9vaXz1alTh9TUVDp06MCqVav4\n4IMP2LlzJ2BY62pubk5GRgZ6vR6FQsGGDRswNTUlODiY/fv3P3895tGj8NJLiA4dABClpSgUCho1\nakRqaipQM3Xbzs6OBw8eGPb18gK1Gi1QAqiBMQoFQqWSikcFBwdz584dnJ2dyc3NZefOnVy5coVa\ntWpRXl5OeXk5wcHBALz66qscP35cWq85ePBghBB8/fXX1K1bl9jYWN577z2GjhmDysyMfyqVuAIH\ngCtqNc3MzDhvbY0QgpYtW0pR+Kf9VdZtlpaW8tJLL+Hj40OfPn1qrFv+PSIiIqQWVE5OTvTu3fu/\nMNp/z4EDB6QxxsfH/2IFapns7+RPSSdWKBQq4AugC4b/30hUKBT7hBAX/ozxyGQymUz2/71mzaCi\nosamYgAjI3iqqJKjoyMZGRnS6ylTptTY58SJE4waNUpKf7Szs8PU1FSqbLxq1SrS0tL48ssv+fTT\nT6XCRaNHj+a9994DDCmUI0aMIDg4mJ49exIdHY2LiwtlZWWcOHGCGTNmUFZWxrlvv2XFuXPcKSlh\nLHBOCEyBrcXFtMvNpfeIEURHR+Ps7Myrr77KunXrGDp0KAC3bt0ypHp+8gkMGcJdlQrL6mpe1miY\nUVVF+fjxODg4sHXrVvr160dwcDAFBQUYGxuzYMECJk+ejKenJ7a2tmzdupXKykquXbtGUVER27Zt\nk6rCnjp1iu7du3P9+nVsbW3RaDTExsbyRVgYy5Yt44peT8nje6fIysK/Uyd+OHcOT09POnfuzPXr\n18nJyaFBgwZcvHiR4uJiWrZsSZ06dagePZoPVq7kkRAcBsY4O/PQxkZao3zmzBmys7Pp1q0bOp2O\n3Nxc1Go1b7zxBlqtlkePHtGlSxfS09M5efJkjeeoUCjo1q0bK1eulF7fv38fOzs7uq1Zw+x33kFR\nUEC1qSk3XnmF/m3asDMykocPH/L666//5l+7p9dttm7d+v9k3aalpeUz7Y7+iCctlv7KBg4cyMCB\nA//sYchk/3F/ViQ2EMgWQuQKISqBbcCrf9JYZDKZTCaT2dtDz55galpzu0YDj9uR/Jo+ffqwadMm\nJkyY8Nz3n65ynJSUxPr16zlz5gynT59mzZo1pKSkPHc/tVrN3LlzGThwIFqt9qcv5dnZUFLCeCAY\ncAE2AR4mJhAXx7p161iwYAGdO3fm6NGjvPrqq7Rt25abN28yatQoQ5S4TRtwdcXnvfeoX68e7UxN\ncWzTBr+uXfHx8cHPz4/169fTu3dvjI2Nqa6u5v3332fatGmGMQhBTlYW1dXV1KlTh3bt2rF69Wqp\n+m5BQQGdO3fGzs4OFxcXNm/ezMsvv8yQzz/nnl7PPwAzDGtZS4DDcXHodDp69erF+vXrsbOzo2nT\npixYsABra2v0ej3V1dXExcUxbf9+xi9cSC1LS7r26sWk+Hgu5eSg0+nQ6XTcuHEDe3t77t27h7m5\nOY8ePaJTp05s2LCBCxcuoFQqycrK4uHDhyQlJUlRWYDt27czevRoLC0tuXv3Lu3bt2f//v3o9Xq6\nDhjAkNmzyVWr6da4Mf2uXCGoWzfi4uIoKyt74TrSF3mybtPX11fq0SqTyWS/5M+axDYCrj31+vrj\nbTKZTCaTyf4sW7bAuHFgaQlKpWGCFxcHzs6/affIyEjS0tKwtbU1FIfatAmmT6estBRfH58aVY5P\nnDhBnz59MDc3x8LCgtdee434+PjfN161GhQKjgFvAzFAD8BKoQALC5YtW8batWs5e/Ys165do2PH\njqSnp9OwYUN++OEHmjZtaogsX7qEavFifrh9m50//EBIjx4YGxvTr18//vnPf3Ljxg0mTpxIcnIy\naWlppKWl0cHPD65fh/h4iI0FIbBQqTh79ixXr16ldevWzJo1C1tbW5YtW8bJkye5c+cOw4YNIyMt\nDRMgC+gMdMOQGucDmD+uXvzFF19Qp04dqTDQ4cOHpcmoSqVCo9EwadIkbOvXx8zSkmmzZ2NnZ0e/\nfv0oLS1lwoQJ2NjYMHPmTPbs2YNaraaoqIijR4+iVCpZtWoViYmJ2NjYoFAoyMzM5IMPPsDW1pY2\nbdqg0Who1aoVKSkpHD9+nIyMDEaOHIlGowFgwoQJuLi4cOjQIU6dOkXz5s3p2rUrkyZNqlGEKC8v\nD1tb2+dG8CMiIgDw8PAgLS0NrVaLnZ3dL/bSlclkMviLt9hRKBRvKhSKcwqF4ty9e/f+7OHIZDKZ\nTPa/Ta2GxYvh0SOoroZTp6BVq99/nOvXwcXFMCH+6CNMhUD74AHaqCiWL1/+h9YfPpeHx7ORYwAT\nE2KF4OjRo5w6dYrU1FRatmz5q31CFQoFgYGBzJgxg23btrFr164Xf3jUKMN9EgKBYU2q9tYtpr/z\nDnq9nlmzZgFIVXRnz56Nvb098+fPZ/ny5YinDmWOIXVbAO/WqUNAQAAeHh6sWbNGSg0WQhAXF8ft\n27fRarWUlJRI6dd9+vSRJn5t2rRh8ODBZGRk4Ofnx969exkxYgRlZWUYGxuTm5srjcnX15ekpCQ6\nderEo0ePqF27Nhs2bCAjI4MTJ05gZWXF6dOnmTFjBq1atWLXrl24uroChslpdXU1ERERNGvWjCFD\nhnDkyBEOHz6Mq6srZ8+eBQyVqdu2bUvLli1p164dly5deuZWyus2ZTLZ7/VnTWJvAPZPvW78eFsN\nQojVQgh/IYR/3bp1/88GJ5PJZDLZ//cUij++79tvG9rlPO51CcCtW/BUmnFQUBB79uyhtLSUkpIS\nIiMjCQoKeuEhLS0tKSoqYs+ePSgUCm7dugV2dvDBB3RSKllpYgK1aqGztqZwxw4Ki4ulIkiZmZmc\nPn2a0NDQFx7/5s2bJD9VwOpJSx1LS0saN27Mnj17AKioqKD09Gm4cAGEIBZDv9RqoKq8nNfLy3n7\n7bdxdnamoKCA+/fvA4b+pebm5gAknDqFTqEg8XGho8rH+3dTq9lnY0OtWrU4cOAAkyZNIioqCoBu\n3boZJr/CMP19knr95L68SFhYGFqtlszMTNRqNQqFokb7lzt37pCYmIher5f6kRYVFfHRRx8RFxeH\nRqMhMjKS5ORkYmJimDx5sjSG7OxsJk+ezO7du9m1axempqYkJSWxZMkS/vWvfwHg7u5OfHw8KSkp\nzJ07l5kzZz4zxidp4hkZGRw4cAD5O59MJvs1f9YkNhFwVSgUTgqFQo3hf//3/UljkclkMplM9p8i\nBPzwA+h0NbdXVxt60D7WqlUrRo4cSWBgIK1bt2b06NFSj8/n+cc//sGFCxcYNWoUbm5unD592vDG\n+++zNDWVGC8vvKyt8WvcmAtqNSEhIeTm5uLr68v06dNp06bNLw67qqqK8ePHU6tWLUxMTJg0aRI3\nbtwgMjLymerJt5OS4KmU2dEYvlC1qqoiZNMmEhISnqm8O23aNE6dOsUHH3yAEALb+vV5t04dPsDw\nBajcwoLR8+fTJCCAEydO0KlTJ6ytrZk4cSJnzpxh9uzZVFVVYW9vj7W1NbNnz65xX3x9fdm+ffvz\nL+7uXfjwQygvh0mTUCmVNG7cmBYtWjBs2DBa/SzaPmTIEDp16gQYIsAzZ87E29ubzp07c+PGDe7c\nuQMYKid7eXnh6enJwIEDmTFjBgqFAi8vLymCXFhYSP/+/fH09GTixImcP3/+F5+DTCaT/Sa/pQ/P\nf+MH6A78COQAs37t83KfWJlMJpPJ/gb0ekNv2af6zUo/pqb/1qGLiopEw4YNxaVLl0SzZs2EEELE\nxMSI4OBg0bdvX+Hm5iaGDBki9Hq9WLp0qTA2NpZ6pQohhLm5uZg5c6bw9vYWrVu3Frdv3xZCCDFi\nxAjx5ptvCnNzc9GxY0dx//598eqrrwo3NzfRpEkTkZqaKoQQYs6cOWLYsGGija+vcFEoxOrH16UH\nMQWEh0IhPOvXF9u2bRNC1OypW1ZWJkaOHCk8PT2Fr6+vOHbsmKiurhYl9+6J/j16iObu7qJ3794i\nMDBQJCYmirVr14oJEyZI17569WphbGws1q9fL8aNGyeEEDX+88qVK8XGjRufvWm5uUJYW4sYY2OR\n8LjvrzmIomPHhBBC5OfnCwcHB1G7dm2h1+trHPPJOQYMGCAqKyuFEIa+r5cvX36mX7BCoZD68DZv\n3ly4urqKxMRE4e7uLpYuXSrdjyZNmvwbvwEymex/Hb+xT+yf0mLn8eT5IHDwVz8ok8lkMpns70Oh\ngN69ITLSEH19wtgY+vX7tw69d+9eQkJCaNasGTY2NiQlJQGG1Nrz58/TsGFD2rdvT0JCAuPHj+fT\nTz8lJibGUGgKKCkpoU2bNixYsIBp06axZs0aaf1lamoqrVq1Ijo6mnfffZeWLVuyZ88ejh07xvDh\nw+natSvffvstBQUFfPzxxwyOisI3KopkDL1SC4A1ZmZ0jInBv2tXoqKiiI+P586dO3Tv3h1bW1uM\njIwoKiqic+fOdOvWja+//pr9+/cTd/YsdnZ2FBcXS61foqOj2b9/P/Hx8RQVFaFSqTAyMnxtu3nz\nJiEhIaSkpNCokaEuplqtJjk5mbCwMADWrFnDhQsX+OzqVXj4kFi9HgugXVUVAD1feYWHj9sWWVpa\nMnLkSBQ/SyGvrq6msLCQevXqYWxsTExMDFeuXHnus1GpVCxZsoR+/fqRl5dHz5498ff3x93dXRrj\nhg0b/q3nL5PJZE/8pQs7yWQymUwm+xv64gtwcjJUOTY2NvzbtCl8/vnvP1Z+PmzcCOvXs3XjRgYN\nGgTAoEGD2Lp1KwCBgYE0btwYpVKJr6+vlMr6c2q1mp49ewLg5+dX43MuLi74+fkBhl63w4cPB6Bj\nx45cvXoVjUbDmDFjmDhxIhs3bqTos89o6uDAKSMj+hgZMc/Li/dr1UJfuzZOTk5kZGRw5MgRGjVq\nxKlTp8jMzGTYsGEANGvWjNatW0stZbZv305qaiqtW7emYcOGABgbG2NlZcXMmTNZtmwZOTk5UkEm\nrVbL9u3bmT9/PllZWVy7do3s7Gy++eYbqqqqWLZsGRMmTODAgQMM2rePPL2eVcBngC9QCtwtKSEr\nK4urV69SUVHBqFGjAPj666+JjY2ldevWTJs2jaVLl3Lq1Cm8vLzYuHEjxsbG0jrfXxMbG8vdu3eZ\nMWMGDRo0IDIyktu3b+Ps7MyyZcukz/Xu3Rs/Pz88PDxYvXq1tN3CwoJZs2bh4+NDmzZtpDTmO3fu\n0KdPH3x8fPDx8ZF63G7evJnAwEB8fX1566230P08pV0mk/3P+NMisTKZTCaTyf5H1a0LFy9CVBRk\nZhqqCHftWmMd6W+yZQuMHg1GRhTo9RwrLSU9ORmFhQU6nQ6FQkGPHj0weVwgCQwRwZ+vR33C2NhY\nijaqVCqqHz2CpUshIwO1g0ONz86ZM4e0tDTUajUVFRVs3bqV4seFqkxNTcm6coW7ZmZ0HjsWpZER\nVl5eBMfEkJiYyL179+jSpQtKpZIff/wRe/ufalkKIfjoo4+k4kiPHj1iwoQJCCEoLi6mrKwMgIKC\nAtq3b8+mTZtwd3fHwsKChw8f8sEHH1BSUkJwcDAFBQVYW1tz5coV1Go1Li4ufP/998yfP5/mzZuT\nlJTEwwYNqH3nDmMBC2DK43G8olDw/rJljHjjDdatW8d7773Hnj17cHFxIT8/n71796JSqbCyssLK\nyor33nuPw4cPU1RUJE32n26Zo9frmT9/PvPnz5cm8bGxsdSpU4eEhAQiIiI4fPgwhYWFFBUV4ebm\nxttvv42xsTHr1q3D2tqasrIyAgIC6Nu3LzY2Ni+MnI8fP57g4GAiIyPR6XQUFxdz8eJFtm/fTkJC\nAsbGxrzzzjts2bJFikzLZLL/LXIkViaTyWQy2S9SKBRSFBEMaaZ169aVoprPpVJBz54wZQqEhtaY\nwDo6OpKfn//LJ7150zCBLS+H4mJ2lpYyHLhSUkJeXBzXrl3DycmJt956i6rHKbI/90uVe2O++orT\nO3bA9OmQnIz9/v0k797Nhg0byMzM5OjRo+h0OrRaLSqVii+++IKxY8fSoEEDLl68iJ+fH9evX8fJ\nyYmgoCC2b9+OEILCwkJu3LiBs7MzR44cQaFQ8OjRI1xdXdmyZQvl5eXY2NhQVlaGm5sbFy5cwM3N\njfT0dEaPHk1BQQFgmMTeu3ePa9eu8e2mTZir1ahUKubOncvgwYPR/j/27jsqqmt74Ph36M2CYsFC\nMzZkClURCSi2KLH3Cpa8WGLK02iKEdvTJDxrjCZG5VmCRE3UmPLUCBFijCICoqJYEBWjoIICg7Tz\n+2PgBgQTS/ISfzmftVhx7tx77rkzrCy3+5y9ExOZN28eKpWKRYsWkZWVRfv27YmIiMDGxoaysjI2\nb96MyYQJ1dsQmZvzo5kZI8oDvNGjRxMXF6e8PXjwYKXX67hx49i4cSMA69evVzK2APzwg6HV0MCB\nWJqakhgfT2JiIl988UWNn3nFPzjY2dnRsGFDJbO6YsUKJdt6+fJl0tLSgAdnzg8cOMCkSZMAlED7\nu+++49ixY3h7e6PT6fjuu++4cOFCjfOQJOnpJzOxkiRJkiT9Kmtra1JSUtDr9VhaWirLZP9QO3ZU\nafMTCcwEKCuDbdtg+nQGDhzI6tWrMTU1rXGIF154gZ49e9KkSROio6N/eSM7Gypel/eOdSsp4dsr\nVziwbRsjR44kOzub1NRUjIyMePXVV1m9ejVqtRqNRkOHDh24e/cuo0aN4r///S9fffUV3333HWvX\nriU+Pp7x48ezf/9+ZcnsvXv3sLOz486dO2RlZaFSqdDpdJibm1NaWsr+/fuxsLCgtLSUWrVqYWlp\nSWJiIkX37lG/rAx7IThXnrldHBbGtdu3adWqFbVr10YIwYwZM4iJicHGxoa4uDiKioqYO3cuMTEx\nLPz6a04EB8Pnn4OJieEfE7y8oFIW9X4VrYAAmjdvTqNGjThw4ABHjhxhy5YthjcWLYIFC0CvN5S3\nAujVy5B9f0DGvaaMeUxMjNLP18rKisDAQKWfb7XM+QMy7GDIcI8dO5ZFixY98BxJkv7/kJlYSZIk\nSZJ+U69evfjqq68AiIyMZPjw4cp7+fn5jBs3Dh8fH9zd3dm1axcApaWlTJ8+HTc3NzQaDStXrlSu\nWblyJR4eHqjValJTUwE4cuQIvr6+uLu70/Hf/+ZMedASAdgCy4CWRUW8Xj7+tGnT0Ov1SsGgjRs3\ncvDgQZYuXcro0aN56aWXCA8Pp6CgAHd391/2VX71Fd4mJnQtn0sEMBjYKQRnEhL47LPPyMzMxN7e\nno0bNxIWFoa1tTXvvvsun332GWfPnsXT05NVq1ah0Who0aIFn3zyCc2aNaN79+6cPXuWZs2a4efn\nB4BGo2Hr1q1YVsqIFhUVASitcoyNjbGwsODu3bu0bNkSnZsbDUtLySorI0UIGgKlwD+vX6egoICZ\nM2cye/Zs7t27xyuvvEJmZiYAJ0+exNLSktmzZ/PDDz9w6/Zt8j7+mHsvvMAyGxvUTZvytr8/Obm5\nbN26FYAtW7b8ao/eCRMmMGrUqF8ytD//DPPmQUHBLwEswI8/Vmmj9DByc3OxtbXFyspK6ef7W4KC\ngli9ejVg+B3Lzc0lKCiI7du3K71ub9269cAiVJIkPf1kECtJkiRJ0m8aNmwYW7dupbCwkOTkZNq3\nb6+8t3DhQrp06cKRI0eIjo5mxowZ5Ofn8/HHH5Oenk5iYiLJycmMHDlSucbOzo6EhAQmTZpEeHg4\nAG3atCE2Npbjx48zb84c3qxUmCcRiAJOWFgQdf48ly9frjK/kydPsmDBAg4cOEBSUhLLly8HoFOn\nThw+fJjjx48zbNgw3nvvvaqBVyX2wCStFnNzc4qKirh9+zaLFi3i3r17TJw4ESMjI6ZPn05eXh6X\nL1/m0KFDzJ8/n7KyMlJTU7lw4QJZJ0+iiosjfP16Ft27h7FKRXZ2NsXFxRw9epSZM2eyePFiJXCv\nW7cuBQUFlJSUUFRUhLm5OYcPH+bulStcE4K+QBGGIN4ImFiekazoITto0CDq1q2rPENRURFFRUWU\nlZVx/vx5tFotdevW5fDp0xhZWWFsZUVhYSHm5uZs2LABjUbDpk2blM+rJn369CEvL++XpcQHDhgK\ndt0vL8+Q8X0EPXv2pKSkhLZt2z5UP1+A5cuXEx0djVqtxtPTk1OnTuHq6sqCBQvo3r07Go2Gbt26\nce3atUeaiyRJTw+5nFiSJEmSpKoOHYKXX4bERKhXD4qL0bi5kZ6eTmRkJL169apy+t69e9m9e7cS\njBYWFpKRkcH+/ft58cUXldYw9erVU64ZMGAAYNjr+Hl54JObm8vYsWNJS0tDpVJRbGtrWK6q1xMk\nBHWsrGDKFFxPnODSpUtVCiYdOHCAwYMHY2dnh7GxMWq1mpKSEpo0aUJpaSk3btygqKgIZ2dnwz7Y\nmirXWlqCjw9Dn3mGDz74oNrbTZo0oW7dulWqINvY2ODi4mIY98cfGR4Xx8dFRQQDF27fpgSY7e7O\n8vPnOX36NOvXr+fmzZvcu3cPgKVLl2JjY0Pz5s0pKioiLS2NtLQ08vLzMQXOY6gofAXoAqDXY2xk\nRN26dRkwYABOTk4EBgYyfPhw/vGPf2BkZER6ejoqlYqoqCj27dsHQHJyMtevX8fExIQ7d+6wZs0a\nDhw4UO0Za2qDk5SUhFarpU2bNoYDtWtXWeoNkAeGZcS2tsqxwMBAAgMDAQgLC6tyfuWiUN988031\n7wKUQloAgwYNYlB5i6ZGjRop2f7Khg4dytChQ2scS5Kk/19kJlaSJEmSpF8kJkK3bhAfb+jzeuMG\nFBXB66/Tp08fpk+fXmUpMRj2I+7YsYPExEQSExPJyMigbdu2v3qb5s2bo9PpGD16NIcPH2bx4sXM\nnj2bzp07k5KSwpdffkmhjQ0cPAjdu2Ou1Rr2sb733m/uj6zYU5qSkkJSUhJOTk6cOHGCjz76yLDf\nskEDGDvWEHSZmxv2ilpawtSp4OLCjRs3mDZtWrVxK4JxeMAezdmzDZ8VEAPMKz8csncvz7i4MGTI\nENRqdZVL7t27x6BBg0hMTGTIkCE0bdqU8ePHE9ihAy1VKhIxZKGnAt0ND4eFmVm1nq61atXi7Nmz\nWFpaPvQ+0oexePFiBg4cWHWvabduNe97NTOD8eOf6H6SJEkPQwaxkiRJkiT9oqJYz/1WrWLckCHM\nmTOnWiDWo0cPVq5cqbSNOX78OADdunXjo48+UgKpisq78Eug+emnn+Ll5cWsWbPIzc3FlCu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GVlRPn7w8svK6etXLkSnU7H8OHDsbKyomfPnuzevZuQkBCCg4MZNGgQJ06ceOjHq5hftb3JQCJA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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x264b72bab00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne = TSNE(n_components=2, verbose=1, perplexity=40, n_iter=1000)\n",
    "tsne_results = tsne.fit_transform(data_matrix)\n",
    "\n",
    "kmeans2 = KMeans(n_clusters=3, random_state=0)\n",
    "kmeans2.fit(tsne_results)\n",
    "pca_transform.shape\n",
    "colormap = np.array(['red', 'lime', 'black', 'blue'])\n",
    "plt.figure(figsize=(16,9))\n",
    "plt.scatter(tsne_results[:,0], tsne_results[:,1], c=colormap[kmeans2.labels_])\n",
    "for i, txt in enumerate(data.iloc[:,0]):\n",
    "    plt.annotate(txt, (tsne_results[i,0], tsne_results[i,1]))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above plot shows another transformation of our data but this time using the t-distributed Stocastic Neighbor Embedding (t-SE) technique.  Unlike PCA, which is merely a projection (if you took linear algebra, you would know that a projection is just a linear transformation which makes it nearly impossible to preserve highly nonlinear structure in our data), t-SNE is a nonlinear dimensionality reduction technique and thus effectively preserves nonlinear structure in the data.  However, it seems that t-SNE did not perform as well as PCA did on this dataset, so we will just stick with PCA for this project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Undergraduate Major</th>\n",
       "      <th>Starting Median Salary</th>\n",
       "      <th>Mid-Career Median Salary</th>\n",
       "      <th>Percent change from Starting to Mid-Career Salary</th>\n",
       "      <th>Mid-Career 10th Percentile Salary</th>\n",
       "      <th>Mid-Career 25th Percentile Salary</th>\n",
       "      <th>Mid-Career 75th Percentile Salary</th>\n",
       "      <th>Mid-Career 90th Percentile Salary</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aerospace Engineering</td>\n",
       "      <td>$57,700.00</td>\n",
       "      <td>$101,000.00</td>\n",
       "      <td>75.0</td>\n",
       "      <td>$64,300.00</td>\n",
       "      <td>$82,100.00</td>\n",
       "      <td>$127,000.00</td>\n",
       "      <td>$161,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Chemical Engineering</td>\n",
       "      <td>$63,200.00</td>\n",
       "      <td>$107,000.00</td>\n",
       "      <td>69.3</td>\n",
       "      <td>$71,900.00</td>\n",
       "      <td>$87,300.00</td>\n",
       "      <td>$143,000.00</td>\n",
       "      <td>$194,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Computer Engineering</td>\n",
       "      <td>$61,400.00</td>\n",
       "      <td>$105,000.00</td>\n",
       "      <td>71.0</td>\n",
       "      <td>$66,100.00</td>\n",
       "      <td>$84,100.00</td>\n",
       "      <td>$135,000.00</td>\n",
       "      <td>$162,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Computer Science</td>\n",
       "      <td>$55,900.00</td>\n",
       "      <td>$95,500.00</td>\n",
       "      <td>70.8</td>\n",
       "      <td>$56,000.00</td>\n",
       "      <td>$74,900.00</td>\n",
       "      <td>$122,000.00</td>\n",
       "      <td>$154,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Construction</td>\n",
       "      <td>$53,700.00</td>\n",
       "      <td>$88,900.00</td>\n",
       "      <td>65.5</td>\n",
       "      <td>$56,300.00</td>\n",
       "      <td>$68,100.00</td>\n",
       "      <td>$118,000.00</td>\n",
       "      <td>$171,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Economics</td>\n",
       "      <td>$50,100.00</td>\n",
       "      <td>$98,600.00</td>\n",
       "      <td>96.8</td>\n",
       "      <td>$50,600.00</td>\n",
       "      <td>$70,600.00</td>\n",
       "      <td>$145,000.00</td>\n",
       "      <td>$210,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Electrical Engineering</td>\n",
       "      <td>$60,900.00</td>\n",
       "      <td>$103,000.00</td>\n",
       "      <td>69.1</td>\n",
       "      <td>$69,300.00</td>\n",
       "      <td>$83,800.00</td>\n",
       "      <td>$130,000.00</td>\n",
       "      <td>$168,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Finance</td>\n",
       "      <td>$47,900.00</td>\n",
       "      <td>$88,300.00</td>\n",
       "      <td>84.3</td>\n",
       "      <td>$47,200.00</td>\n",
       "      <td>$62,100.00</td>\n",
       "      <td>$128,000.00</td>\n",
       "      <td>$195,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Industrial Engineering</td>\n",
       "      <td>$57,700.00</td>\n",
       "      <td>$94,700.00</td>\n",
       "      <td>64.1</td>\n",
       "      <td>$57,100.00</td>\n",
       "      <td>$72,300.00</td>\n",
       "      <td>$132,000.00</td>\n",
       "      <td>$173,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Math</td>\n",
       "      <td>$45,400.00</td>\n",
       "      <td>$92,400.00</td>\n",
       "      <td>103.5</td>\n",
       "      <td>$45,200.00</td>\n",
       "      <td>$64,200.00</td>\n",
       "      <td>$128,000.00</td>\n",
       "      <td>$183,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Mechanical Engineering</td>\n",
       "      <td>$57,900.00</td>\n",
       "      <td>$93,600.00</td>\n",
       "      <td>61.7</td>\n",
       "      <td>$63,700.00</td>\n",
       "      <td>$76,200.00</td>\n",
       "      <td>$120,000.00</td>\n",
       "      <td>$163,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Physics</td>\n",
       "      <td>$50,300.00</td>\n",
       "      <td>$97,300.00</td>\n",
       "      <td>93.4</td>\n",
       "      <td>$56,000.00</td>\n",
       "      <td>$74,200.00</td>\n",
       "      <td>$132,000.00</td>\n",
       "      <td>$178,000.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Undergraduate Major Starting Median Salary Mid-Career Median Salary  \\\n",
       "1    Aerospace Engineering            $57,700.00              $101,000.00    \n",
       "8     Chemical Engineering            $63,200.00              $107,000.00    \n",
       "12    Computer Engineering            $61,400.00              $105,000.00    \n",
       "13        Computer Science            $55,900.00               $95,500.00    \n",
       "14            Construction            $53,700.00               $88,900.00    \n",
       "17               Economics            $50,100.00               $98,600.00    \n",
       "19  Electrical Engineering            $60,900.00              $103,000.00    \n",
       "22                 Finance            $47,900.00               $88,300.00    \n",
       "30  Industrial Engineering            $57,700.00               $94,700.00    \n",
       "37                    Math            $45,400.00               $92,400.00    \n",
       "38  Mechanical Engineering            $57,900.00               $93,600.00    \n",
       "44                 Physics            $50,300.00               $97,300.00    \n",
       "\n",
       "    Percent change from Starting to Mid-Career Salary  \\\n",
       "1                                                75.0   \n",
       "8                                                69.3   \n",
       "12                                               71.0   \n",
       "13                                               70.8   \n",
       "14                                               65.5   \n",
       "17                                               96.8   \n",
       "19                                               69.1   \n",
       "22                                               84.3   \n",
       "30                                               64.1   \n",
       "37                                              103.5   \n",
       "38                                               61.7   \n",
       "44                                               93.4   \n",
       "\n",
       "   Mid-Career 10th Percentile Salary Mid-Career 25th Percentile Salary  \\\n",
       "1                        $64,300.00                        $82,100.00    \n",
       "8                        $71,900.00                        $87,300.00    \n",
       "12                       $66,100.00                        $84,100.00    \n",
       "13                       $56,000.00                        $74,900.00    \n",
       "14                       $56,300.00                        $68,100.00    \n",
       "17                       $50,600.00                        $70,600.00    \n",
       "19                       $69,300.00                        $83,800.00    \n",
       "22                       $47,200.00                        $62,100.00    \n",
       "30                       $57,100.00                        $72,300.00    \n",
       "37                       $45,200.00                        $64,200.00    \n",
       "38                       $63,700.00                        $76,200.00    \n",
       "44                       $56,000.00                        $74,200.00    \n",
       "\n",
       "   Mid-Career 75th Percentile Salary Mid-Career 90th Percentile Salary  class  \n",
       "1                       $127,000.00                       $161,000.00       0  \n",
       "8                       $143,000.00                       $194,000.00       0  \n",
       "12                      $135,000.00                       $162,000.00       0  \n",
       "13                      $122,000.00                       $154,000.00       0  \n",
       "14                      $118,000.00                       $171,000.00       0  \n",
       "17                      $145,000.00                       $210,000.00       0  \n",
       "19                      $130,000.00                       $168,000.00       0  \n",
       "22                      $128,000.00                       $195,000.00       0  \n",
       "30                      $132,000.00                       $173,000.00       0  \n",
       "37                      $128,000.00                       $183,000.00       0  \n",
       "38                      $120,000.00                       $163,000.00       0  \n",
       "44                      $132,000.00                       $178,000.00       0  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['class'] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "        text-align: right;\n",
       "    }\n",
       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Undergraduate Major</th>\n",
       "      <th>Starting Median Salary</th>\n",
       "      <th>Mid-Career Median Salary</th>\n",
       "      <th>Percent change from Starting to Mid-Career Salary</th>\n",
       "      <th>Mid-Career 10th Percentile Salary</th>\n",
       "      <th>Mid-Career 25th Percentile Salary</th>\n",
       "      <th>Mid-Career 75th Percentile Salary</th>\n",
       "      <th>Mid-Career 90th Percentile Salary</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Criminal Justice</td>\n",
       "      <td>$35,000.00</td>\n",
       "      <td>$56,300.00</td>\n",
       "      <td>60.9</td>\n",
       "      <td>$32,200.00</td>\n",
       "      <td>$41,600.00</td>\n",
       "      <td>$80,700.00</td>\n",
       "      <td>$107,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Education</td>\n",
       "      <td>$34,900.00</td>\n",
       "      <td>$52,000.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>$29,300.00</td>\n",
       "      <td>$37,900.00</td>\n",
       "      <td>$73,400.00</td>\n",
       "      <td>$102,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Forestry</td>\n",
       "      <td>$39,100.00</td>\n",
       "      <td>$62,600.00</td>\n",
       "      <td>60.1</td>\n",
       "      <td>$41,000.00</td>\n",
       "      <td>$49,300.00</td>\n",
       "      <td>$78,200.00</td>\n",
       "      <td>$111,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Graphic Design</td>\n",
       "      <td>$35,700.00</td>\n",
       "      <td>$59,800.00</td>\n",
       "      <td>67.5</td>\n",
       "      <td>$36,000.00</td>\n",
       "      <td>$45,500.00</td>\n",
       "      <td>$80,800.00</td>\n",
       "      <td>$112,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Health Care Administration</td>\n",
       "      <td>$38,800.00</td>\n",
       "      <td>$60,600.00</td>\n",
       "      <td>56.2</td>\n",
       "      <td>$34,600.00</td>\n",
       "      <td>$45,600.00</td>\n",
       "      <td>$78,800.00</td>\n",
       "      <td>$101,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Hospitality &amp; Tourism</td>\n",
       "      <td>$37,800.00</td>\n",
       "      <td>$57,500.00</td>\n",
       "      <td>52.1</td>\n",
       "      <td>$35,500.00</td>\n",
       "      <td>$43,600.00</td>\n",
       "      <td>$81,900.00</td>\n",
       "      <td>$124,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Interior Design</td>\n",
       "      <td>$36,100.00</td>\n",
       "      <td>$53,200.00</td>\n",
       "      <td>47.4</td>\n",
       "      <td>$35,700.00</td>\n",
       "      <td>$42,600.00</td>\n",
       "      <td>$72,500.00</td>\n",
       "      <td>$107,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Nursing</td>\n",
       "      <td>$54,200.00</td>\n",
       "      <td>$67,000.00</td>\n",
       "      <td>23.6</td>\n",
       "      <td>$47,600.00</td>\n",
       "      <td>$56,400.00</td>\n",
       "      <td>$80,900.00</td>\n",
       "      <td>$98,300.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Nutrition</td>\n",
       "      <td>$39,900.00</td>\n",
       "      <td>$55,300.00</td>\n",
       "      <td>38.6</td>\n",
       "      <td>$33,900.00</td>\n",
       "      <td>$44,500.00</td>\n",
       "      <td>$70,500.00</td>\n",
       "      <td>$99,200.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Religion</td>\n",
       "      <td>$34,100.00</td>\n",
       "      <td>$52,000.00</td>\n",
       "      <td>52.5</td>\n",
       "      <td>$29,700.00</td>\n",
       "      <td>$36,500.00</td>\n",
       "      <td>$70,900.00</td>\n",
       "      <td>$96,400.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Sociology</td>\n",
       "      <td>$36,500.00</td>\n",
       "      <td>$58,200.00</td>\n",
       "      <td>59.5</td>\n",
       "      <td>$30,700.00</td>\n",
       "      <td>$40,400.00</td>\n",
       "      <td>$81,200.00</td>\n",
       "      <td>$118,000.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Spanish</td>\n",
       "      <td>$34,000.00</td>\n",
       "      <td>$53,100.00</td>\n",
       "      <td>56.2</td>\n",
       "      <td>$31,000.00</td>\n",
       "      <td>$40,000.00</td>\n",
       "      <td>$76,800.00</td>\n",
       "      <td>$96,400.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Undergraduate Major Starting Median Salary  \\\n",
       "15            Criminal Justice            $35,000.00    \n",
       "18                   Education            $34,900.00    \n",
       "23                    Forestry            $39,100.00    \n",
       "26              Graphic Design            $35,700.00    \n",
       "27  Health Care Administration            $38,800.00    \n",
       "29       Hospitality & Tourism            $37,800.00    \n",
       "32             Interior Design            $36,100.00    \n",
       "40                     Nursing            $54,200.00    \n",
       "41                   Nutrition            $39,900.00    \n",
       "47                    Religion            $34,100.00    \n",
       "48                   Sociology            $36,500.00    \n",
       "49                     Spanish            $34,000.00    \n",
       "\n",
       "   Mid-Career Median Salary  \\\n",
       "15              $56,300.00    \n",
       "18              $52,000.00    \n",
       "23              $62,600.00    \n",
       "26              $59,800.00    \n",
       "27              $60,600.00    \n",
       "29              $57,500.00    \n",
       "32              $53,200.00    \n",
       "40              $67,000.00    \n",
       "41              $55,300.00    \n",
       "47              $52,000.00    \n",
       "48              $58,200.00    \n",
       "49              $53,100.00    \n",
       "\n",
       "    Percent change from Starting to Mid-Career Salary  \\\n",
       "15                                               60.9   \n",
       "18                                               49.0   \n",
       "23                                               60.1   \n",
       "26                                               67.5   \n",
       "27                                               56.2   \n",
       "29                                               52.1   \n",
       "32                                               47.4   \n",
       "40                                               23.6   \n",
       "41                                               38.6   \n",
       "47                                               52.5   \n",
       "48                                               59.5   \n",
       "49                                               56.2   \n",
       "\n",
       "   Mid-Career 10th Percentile Salary Mid-Career 25th Percentile Salary  \\\n",
       "15                       $32,200.00                        $41,600.00    \n",
       "18                       $29,300.00                        $37,900.00    \n",
       "23                       $41,000.00                        $49,300.00    \n",
       "26                       $36,000.00                        $45,500.00    \n",
       "27                       $34,600.00                        $45,600.00    \n",
       "29                       $35,500.00                        $43,600.00    \n",
       "32                       $35,700.00                        $42,600.00    \n",
       "40                       $47,600.00                        $56,400.00    \n",
       "41                       $33,900.00                        $44,500.00    \n",
       "47                       $29,700.00                        $36,500.00    \n",
       "48                       $30,700.00                        $40,400.00    \n",
       "49                       $31,000.00                        $40,000.00    \n",
       "\n",
       "   Mid-Career 75th Percentile Salary Mid-Career 90th Percentile Salary  class  \n",
       "15                       $80,700.00                       $107,000.00       1  \n",
       "18                       $73,400.00                       $102,000.00       1  \n",
       "23                       $78,200.00                       $111,000.00       1  \n",
       "26                       $80,800.00                       $112,000.00       1  \n",
       "27                       $78,800.00                       $101,000.00       1  \n",
       "29                       $81,900.00                       $124,000.00       1  \n",
       "32                       $72,500.00                       $107,000.00       1  \n",
       "40                       $80,900.00                        $98,300.00       1  \n",
       "41                       $70,500.00                        $99,200.00       1  \n",
       "47                       $70,900.00                        $96,400.00       1  \n",
       "48                       $81,200.00                       $118,000.00       1  \n",
       "49                       $76,800.00                        $96,400.00       1  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['class'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Undergraduate Major</th>\n",
       "      <th>Starting Median Salary</th>\n",
       "      <th>Mid-Career Median Salary</th>\n",
       "      <th>Percent change from Starting to Mid-Career Salary</th>\n",
       "      <th>Mid-Career 10th Percentile Salary</th>\n",
       "      <th>Mid-Career 25th Percentile Salary</th>\n",
       "      <th>Mid-Career 75th Percentile Salary</th>\n",
       "      <th>Mid-Career 90th Percentile Salary</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Accounting</td>\n",
       "      <td>$46,000.00</td>\n",
       "      <td>$77,100.00</td>\n",
       "      <td>67.6</td>\n",
       "      <td>$42,200.00</td>\n",
       "      <td>$56,100.00</td>\n",
       "      <td>$108,000.00</td>\n",
       "      <td>$152,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Chemistry</td>\n",
       "      <td>$42,600.00</td>\n",
       "      <td>$79,900.00</td>\n",
       "      <td>87.6</td>\n",
       "      <td>$45,300.00</td>\n",
       "      <td>$60,700.00</td>\n",
       "      <td>$108,000.00</td>\n",
       "      <td>$148,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Civil Engineering</td>\n",
       "      <td>$53,900.00</td>\n",
       "      <td>$90,500.00</td>\n",
       "      <td>67.9</td>\n",
       "      <td>$63,400.00</td>\n",
       "      <td>$75,100.00</td>\n",
       "      <td>$115,000.00</td>\n",
       "      <td>$148,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Geology</td>\n",
       "      <td>$43,500.00</td>\n",
       "      <td>$79,500.00</td>\n",
       "      <td>82.8</td>\n",
       "      <td>$45,000.00</td>\n",
       "      <td>$59,600.00</td>\n",
       "      <td>$101,000.00</td>\n",
       "      <td>$156,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>International Relations</td>\n",
       "      <td>$40,900.00</td>\n",
       "      <td>$80,900.00</td>\n",
       "      <td>97.8</td>\n",
       "      <td>$38,200.00</td>\n",
       "      <td>$56,000.00</td>\n",
       "      <td>$111,000.00</td>\n",
       "      <td>$157,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Management Information Systems (MIS)</td>\n",
       "      <td>$49,200.00</td>\n",
       "      <td>$82,300.00</td>\n",
       "      <td>67.3</td>\n",
       "      <td>$45,300.00</td>\n",
       "      <td>$60,500.00</td>\n",
       "      <td>$108,000.00</td>\n",
       "      <td>$146,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Marketing</td>\n",
       "      <td>$40,800.00</td>\n",
       "      <td>$79,600.00</td>\n",
       "      <td>95.1</td>\n",
       "      <td>$42,100.00</td>\n",
       "      <td>$55,600.00</td>\n",
       "      <td>$119,000.00</td>\n",
       "      <td>$175,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Philosophy</td>\n",
       "      <td>$39,900.00</td>\n",
       "      <td>$81,200.00</td>\n",
       "      <td>103.5</td>\n",
       "      <td>$35,500.00</td>\n",
       "      <td>$52,800.00</td>\n",
       "      <td>$127,000.00</td>\n",
       "      <td>$168,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Physician Assistant</td>\n",
       "      <td>$74,300.00</td>\n",
       "      <td>$91,700.00</td>\n",
       "      <td>23.4</td>\n",
       "      <td>$66,400.00</td>\n",
       "      <td>$75,200.00</td>\n",
       "      <td>$108,000.00</td>\n",
       "      <td>$124,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Political Science</td>\n",
       "      <td>$40,800.00</td>\n",
       "      <td>$78,200.00</td>\n",
       "      <td>91.7</td>\n",
       "      <td>$41,200.00</td>\n",
       "      <td>$55,300.00</td>\n",
       "      <td>$114,000.00</td>\n",
       "      <td>$168,000.00</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Undergraduate Major Starting Median Salary  \\\n",
       "0                             Accounting            $46,000.00    \n",
       "9                              Chemistry            $42,600.00    \n",
       "10                     Civil Engineering            $53,900.00    \n",
       "25                               Geology            $43,500.00    \n",
       "33               International Relations            $40,900.00    \n",
       "35  Management Information Systems (MIS)            $49,200.00    \n",
       "36                             Marketing            $40,800.00    \n",
       "42                            Philosophy            $39,900.00    \n",
       "43                   Physician Assistant            $74,300.00    \n",
       "45                     Political Science            $40,800.00    \n",
       "\n",
       "   Mid-Career Median Salary  \\\n",
       "0               $77,100.00    \n",
       "9               $79,900.00    \n",
       "10              $90,500.00    \n",
       "25              $79,500.00    \n",
       "33              $80,900.00    \n",
       "35              $82,300.00    \n",
       "36              $79,600.00    \n",
       "42              $81,200.00    \n",
       "43              $91,700.00    \n",
       "45              $78,200.00    \n",
       "\n",
       "    Percent change from Starting to Mid-Career Salary  \\\n",
       "0                                                67.6   \n",
       "9                                                87.6   \n",
       "10                                               67.9   \n",
       "25                                               82.8   \n",
       "33                                               97.8   \n",
       "35                                               67.3   \n",
       "36                                               95.1   \n",
       "42                                              103.5   \n",
       "43                                               23.4   \n",
       "45                                               91.7   \n",
       "\n",
       "   Mid-Career 10th Percentile Salary Mid-Career 25th Percentile Salary  \\\n",
       "0                        $42,200.00                        $56,100.00    \n",
       "9                        $45,300.00                        $60,700.00    \n",
       "10                       $63,400.00                        $75,100.00    \n",
       "25                       $45,000.00                        $59,600.00    \n",
       "33                       $38,200.00                        $56,000.00    \n",
       "35                       $45,300.00                        $60,500.00    \n",
       "36                       $42,100.00                        $55,600.00    \n",
       "42                       $35,500.00                        $52,800.00    \n",
       "43                       $66,400.00                        $75,200.00    \n",
       "45                       $41,200.00                        $55,300.00    \n",
       "\n",
       "   Mid-Career 75th Percentile Salary Mid-Career 90th Percentile Salary  class  \n",
       "0                       $108,000.00                       $152,000.00       2  \n",
       "9                       $108,000.00                       $148,000.00       2  \n",
       "10                      $115,000.00                       $148,000.00       2  \n",
       "25                      $101,000.00                       $156,000.00       2  \n",
       "33                      $111,000.00                       $157,000.00       2  \n",
       "35                      $108,000.00                       $146,000.00       2  \n",
       "36                      $119,000.00                       $175,000.00       2  \n",
       "42                      $127,000.00                       $168,000.00       2  \n",
       "43                      $108,000.00                       $124,000.00       2  \n",
       "45                      $114,000.00                       $168,000.00       2  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['class'] == 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Undergraduate Major</th>\n",
       "      <th>Starting Median Salary</th>\n",
       "      <th>Mid-Career Median Salary</th>\n",
       "      <th>Percent change from Starting to Mid-Career Salary</th>\n",
       "      <th>Mid-Career 10th Percentile Salary</th>\n",
       "      <th>Mid-Career 25th Percentile Salary</th>\n",
       "      <th>Mid-Career 75th Percentile Salary</th>\n",
       "      <th>Mid-Career 90th Percentile Salary</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agriculture</td>\n",
       "      <td>$42,600.00</td>\n",
       "      <td>$71,900.00</td>\n",
       "      <td>68.8</td>\n",
       "      <td>$36,300.00</td>\n",
       "      <td>$52,100.00</td>\n",
       "      <td>$96,300.00</td>\n",
       "      <td>$150,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Anthropology</td>\n",
       "      <td>$36,800.00</td>\n",
       "      <td>$61,500.00</td>\n",
       "      <td>67.1</td>\n",
       "      <td>$33,800.00</td>\n",
       "      <td>$45,500.00</td>\n",
       "      <td>$89,300.00</td>\n",
       "      <td>$138,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Architecture</td>\n",
       "      <td>$41,600.00</td>\n",
       "      <td>$76,800.00</td>\n",
       "      <td>84.6</td>\n",
       "      <td>$50,600.00</td>\n",
       "      <td>$62,200.00</td>\n",
       "      <td>$97,000.00</td>\n",
       "      <td>$136,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Art History</td>\n",
       "      <td>$35,800.00</td>\n",
       "      <td>$64,900.00</td>\n",
       "      <td>81.3</td>\n",
       "      <td>$28,800.00</td>\n",
       "      <td>$42,200.00</td>\n",
       "      <td>$87,400.00</td>\n",
       "      <td>$125,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Biology</td>\n",
       "      <td>$38,800.00</td>\n",
       "      <td>$64,800.00</td>\n",
       "      <td>67.0</td>\n",
       "      <td>$36,900.00</td>\n",
       "      <td>$47,400.00</td>\n",
       "      <td>$94,500.00</td>\n",
       "      <td>$135,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Business Management</td>\n",
       "      <td>$43,000.00</td>\n",
       "      <td>$72,100.00</td>\n",
       "      <td>67.7</td>\n",
       "      <td>$38,800.00</td>\n",
       "      <td>$51,500.00</td>\n",
       "      <td>$102,000.00</td>\n",
       "      <td>$147,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Communications</td>\n",
       "      <td>$38,100.00</td>\n",
       "      <td>$70,000.00</td>\n",
       "      <td>83.7</td>\n",
       "      <td>$37,500.00</td>\n",
       "      <td>$49,700.00</td>\n",
       "      <td>$98,800.00</td>\n",
       "      <td>$143,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Drama</td>\n",
       "      <td>$35,900.00</td>\n",
       "      <td>$56,900.00</td>\n",
       "      <td>58.5</td>\n",
       "      <td>$36,700.00</td>\n",
       "      <td>$41,300.00</td>\n",
       "      <td>$79,100.00</td>\n",
       "      <td>$153,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>English</td>\n",
       "      <td>$38,000.00</td>\n",
       "      <td>$64,700.00</td>\n",
       "      <td>70.3</td>\n",
       "      <td>$33,400.00</td>\n",
       "      <td>$44,800.00</td>\n",
       "      <td>$93,200.00</td>\n",
       "      <td>$133,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Film</td>\n",
       "      <td>$37,900.00</td>\n",
       "      <td>$68,500.00</td>\n",
       "      <td>80.7</td>\n",
       "      <td>$33,900.00</td>\n",
       "      <td>$45,500.00</td>\n",
       "      <td>$100,000.00</td>\n",
       "      <td>$136,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Geography</td>\n",
       "      <td>$41,200.00</td>\n",
       "      <td>$65,500.00</td>\n",
       "      <td>59.0</td>\n",
       "      <td>$40,000.00</td>\n",
       "      <td>$50,000.00</td>\n",
       "      <td>$90,800.00</td>\n",
       "      <td>$132,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>History</td>\n",
       "      <td>$39,200.00</td>\n",
       "      <td>$71,000.00</td>\n",
       "      <td>81.1</td>\n",
       "      <td>$37,000.00</td>\n",
       "      <td>$49,200.00</td>\n",
       "      <td>$103,000.00</td>\n",
       "      <td>$149,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Information Technology (IT)</td>\n",
       "      <td>$49,100.00</td>\n",
       "      <td>$74,800.00</td>\n",
       "      <td>52.3</td>\n",
       "      <td>$44,500.00</td>\n",
       "      <td>$56,700.00</td>\n",
       "      <td>$96,700.00</td>\n",
       "      <td>$129,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Journalism</td>\n",
       "      <td>$35,600.00</td>\n",
       "      <td>$66,700.00</td>\n",
       "      <td>87.4</td>\n",
       "      <td>$38,400.00</td>\n",
       "      <td>$48,300.00</td>\n",
       "      <td>$97,700.00</td>\n",
       "      <td>$145,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Music</td>\n",
       "      <td>$35,900.00</td>\n",
       "      <td>$55,000.00</td>\n",
       "      <td>53.2</td>\n",
       "      <td>$26,700.00</td>\n",
       "      <td>$40,200.00</td>\n",
       "      <td>$88,000.00</td>\n",
       "      <td>$134,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Psychology</td>\n",
       "      <td>$35,900.00</td>\n",
       "      <td>$60,400.00</td>\n",
       "      <td>68.2</td>\n",
       "      <td>$31,600.00</td>\n",
       "      <td>$42,100.00</td>\n",
       "      <td>$87,500.00</td>\n",
       "      <td>$127,000.00</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Undergraduate Major Starting Median Salary  \\\n",
       "2                   Agriculture            $42,600.00    \n",
       "3                  Anthropology            $36,800.00    \n",
       "4                  Architecture            $41,600.00    \n",
       "5                   Art History            $35,800.00    \n",
       "6                       Biology            $38,800.00    \n",
       "7           Business Management            $43,000.00    \n",
       "11               Communications            $38,100.00    \n",
       "16                        Drama            $35,900.00    \n",
       "20                      English            $38,000.00    \n",
       "21                         Film            $37,900.00    \n",
       "24                    Geography            $41,200.00    \n",
       "28                      History            $39,200.00    \n",
       "31  Information Technology (IT)            $49,100.00    \n",
       "34                   Journalism            $35,600.00    \n",
       "39                        Music            $35,900.00    \n",
       "46                   Psychology            $35,900.00    \n",
       "\n",
       "   Mid-Career Median Salary  \\\n",
       "2               $71,900.00    \n",
       "3               $61,500.00    \n",
       "4               $76,800.00    \n",
       "5               $64,900.00    \n",
       "6               $64,800.00    \n",
       "7               $72,100.00    \n",
       "11              $70,000.00    \n",
       "16              $56,900.00    \n",
       "20              $64,700.00    \n",
       "21              $68,500.00    \n",
       "24              $65,500.00    \n",
       "28              $71,000.00    \n",
       "31              $74,800.00    \n",
       "34              $66,700.00    \n",
       "39              $55,000.00    \n",
       "46              $60,400.00    \n",
       "\n",
       "    Percent change from Starting to Mid-Career Salary  \\\n",
       "2                                                68.8   \n",
       "3                                                67.1   \n",
       "4                                                84.6   \n",
       "5                                                81.3   \n",
       "6                                                67.0   \n",
       "7                                                67.7   \n",
       "11                                               83.7   \n",
       "16                                               58.5   \n",
       "20                                               70.3   \n",
       "21                                               80.7   \n",
       "24                                               59.0   \n",
       "28                                               81.1   \n",
       "31                                               52.3   \n",
       "34                                               87.4   \n",
       "39                                               53.2   \n",
       "46                                               68.2   \n",
       "\n",
       "   Mid-Career 10th Percentile Salary Mid-Career 25th Percentile Salary  \\\n",
       "2                        $36,300.00                        $52,100.00    \n",
       "3                        $33,800.00                        $45,500.00    \n",
       "4                        $50,600.00                        $62,200.00    \n",
       "5                        $28,800.00                        $42,200.00    \n",
       "6                        $36,900.00                        $47,400.00    \n",
       "7                        $38,800.00                        $51,500.00    \n",
       "11                       $37,500.00                        $49,700.00    \n",
       "16                       $36,700.00                        $41,300.00    \n",
       "20                       $33,400.00                        $44,800.00    \n",
       "21                       $33,900.00                        $45,500.00    \n",
       "24                       $40,000.00                        $50,000.00    \n",
       "28                       $37,000.00                        $49,200.00    \n",
       "31                       $44,500.00                        $56,700.00    \n",
       "34                       $38,400.00                        $48,300.00    \n",
       "39                       $26,700.00                        $40,200.00    \n",
       "46                       $31,600.00                        $42,100.00    \n",
       "\n",
       "   Mid-Career 75th Percentile Salary Mid-Career 90th Percentile Salary  class  \n",
       "2                        $96,300.00                       $150,000.00       3  \n",
       "3                        $89,300.00                       $138,000.00       3  \n",
       "4                        $97,000.00                       $136,000.00       3  \n",
       "5                        $87,400.00                       $125,000.00       3  \n",
       "6                        $94,500.00                       $135,000.00       3  \n",
       "7                       $102,000.00                       $147,000.00       3  \n",
       "11                       $98,800.00                       $143,000.00       3  \n",
       "16                       $79,100.00                       $153,000.00       3  \n",
       "20                       $93,200.00                       $133,000.00       3  \n",
       "21                      $100,000.00                       $136,000.00       3  \n",
       "24                       $90,800.00                       $132,000.00       3  \n",
       "28                      $103,000.00                       $149,000.00       3  \n",
       "31                       $96,700.00                       $129,000.00       3  \n",
       "34                       $97,700.00                       $145,000.00       3  \n",
       "39                       $88,000.00                       $134,000.00       3  \n",
       "46                       $87,500.00                       $127,000.00       3  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['class'] == 3]"
   ]
  }
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