{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rank                                        1\n",
      "Major_code                               2419\n",
      "Major                   PETROLEUM ENGINEERING\n",
      "Total                                    2339\n",
      "Men                                      2057\n",
      "Women                                     282\n",
      "Major_category                    Engineering\n",
      "ShareWomen                           0.120564\n",
      "Sample_size                                36\n",
      "Employed                                 1976\n",
      "Full_time                                1849\n",
      "Part_time                                 270\n",
      "Full_time_year_round                     1207\n",
      "Unemployed                                 37\n",
      "Unemployment_rate                   0.0183805\n",
      "Median                                 110000\n",
      "P25th                                   95000\n",
      "P75th                                  125000\n",
      "College_jobs                             1534\n",
      "Non_college_jobs                          364\n",
      "Low_wage_jobs                             193\n",
      "Name: 0, dtype: object\n",
      "   Rank  Major_code                                      Major    Total  \\\n",
      "0     1        2419                      PETROLEUM ENGINEERING   2339.0   \n",
      "1     2        2416             MINING AND MINERAL ENGINEERING    756.0   \n",
      "2     3        2415                  METALLURGICAL ENGINEERING    856.0   \n",
      "3     4        2417  NAVAL ARCHITECTURE AND MARINE ENGINEERING   1258.0   \n",
      "4     5        2405                       CHEMICAL ENGINEERING  32260.0   \n",
      "\n",
      "       Men    Women Major_category  ShareWomen  Sample_size  Employed  \\\n",
      "0   2057.0    282.0    Engineering    0.120564           36      1976   \n",
      "1    679.0     77.0    Engineering    0.101852            7       640   \n",
      "2    725.0    131.0    Engineering    0.153037            3       648   \n",
      "3   1123.0    135.0    Engineering    0.107313           16       758   \n",
      "4  21239.0  11021.0    Engineering    0.341631          289     25694   \n",
      "\n",
      "       ...        Part_time  Full_time_year_round  Unemployed  \\\n",
      "0      ...              270                  1207          37   \n",
      "1      ...              170                   388          85   \n",
      "2      ...              133                   340          16   \n",
      "3      ...              150                   692          40   \n",
      "4      ...             5180                 16697        1672   \n",
      "\n",
      "   Unemployment_rate  Median  P25th   P75th  College_jobs  Non_college_jobs  \\\n",
      "0           0.018381  110000  95000  125000          1534               364   \n",
      "1           0.117241   75000  55000   90000           350               257   \n",
      "2           0.024096   73000  50000  105000           456               176   \n",
      "3           0.050125   70000  43000   80000           529               102   \n",
      "4           0.061098   65000  50000   75000         18314              4440   \n",
      "\n",
      "   Low_wage_jobs  \n",
      "0            193  \n",
      "1             50  \n",
      "2              0  \n",
      "3              0  \n",
      "4            972  \n",
      "\n",
      "[5 rows x 21 columns]\n",
      "     Rank  Major_code                   Major   Total     Men   Women  \\\n",
      "168   169        3609                 ZOOLOGY  8409.0  3050.0  5359.0   \n",
      "169   170        5201  EDUCATIONAL PSYCHOLOGY  2854.0   522.0  2332.0   \n",
      "170   171        5202     CLINICAL PSYCHOLOGY  2838.0   568.0  2270.0   \n",
      "171   172        5203   COUNSELING PSYCHOLOGY  4626.0   931.0  3695.0   \n",
      "172   173        3501         LIBRARY SCIENCE  1098.0   134.0   964.0   \n",
      "\n",
      "               Major_category  ShareWomen  Sample_size  Employed  \\\n",
      "168    Biology & Life Science    0.637293           47      6259   \n",
      "169  Psychology & Social Work    0.817099            7      2125   \n",
      "170  Psychology & Social Work    0.799859           13      2101   \n",
      "171  Psychology & Social Work    0.798746           21      3777   \n",
      "172                 Education    0.877960            2       742   \n",
      "\n",
      "         ...        Part_time  Full_time_year_round  Unemployed  \\\n",
      "168      ...             2190                  3602         304   \n",
      "169      ...              572                  1211         148   \n",
      "170      ...              648                  1293         368   \n",
      "171      ...              965                  2738         214   \n",
      "172      ...              237                   410          87   \n",
      "\n",
      "     Unemployment_rate  Median  P25th  P75th  College_jobs  Non_college_jobs  \\\n",
      "168           0.046320   26000  20000  39000          2771              2947   \n",
      "169           0.065112   25000  24000  34000          1488               615   \n",
      "170           0.149048   25000  25000  40000           986               870   \n",
      "171           0.053621   23400  19200  26000          2403              1245   \n",
      "172           0.104946   22000  20000  22000           288               338   \n",
      "\n",
      "     Low_wage_jobs  \n",
      "168            743  \n",
      "169             82  \n",
      "170            622  \n",
      "171            308  \n",
      "172            192  \n",
      "\n",
      "[5 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "% matplotlib inline\n",
    "recent_grads = pd.read_csv('recent-grads.csv')\n",
    "print(recent_grads.iloc[0])\n",
    "print(recent_grads.head())\n",
    "print(recent_grads.tail())\n",
    "recent_grads = recent_grads.dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas, Scatter Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1073a9978>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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TGZvKrY02ZLAxs9uIptB+AtwVlhYYkyoNNpu2vc6f3rKBPam+Ae0tTQluOK8w60qZWSIy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\nKdiIiEjsFGxERCR2CjYiIhK7/w/o4f0oabhuyAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1073a2240>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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K9Zm5U/qNWC9UFVTo132lSizFqjlKrQap9h5jg63aSm7Vlh+pXnGCyd8Chxab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\nrkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Sample_size', y='Unemployment_rate', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1103c2c50>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wp3xaW5Ih91EzqpR9JSKNqtRgM9Y1m08BRxBli/2nmb0Rfnab2RuVqGizKHZd5s3+9KjT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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Full_time', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x107418d30>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ty4+8WVbLxt89x5rNz/L080P8w08fKSl20Yl877uun8HhUXaNjO8/aFfiVLhx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\nXEwcx3GcxPx/7p73p2k6nEsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='ShareWomen', y='Unemployment_rate', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110581710>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Bx8xuItW1djdwW1jSYEKqVdBZt2knH75hNbuHRveXdcYNN6MzXlrGkjKcRKRV1DR7DfgI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\nHgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Men', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110672ba8>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bJrOnrGBThNHSgPsG8w88dQmYXl93sIcyWqDJJ01xItP6Z/eQkololumPrTiC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\nOScmrv8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads.plot(x='Women', y='Median', kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas, Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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M+c9ExD358YukJZmHA7uTVg8FryJqZhVSahuppA5gc+BOYO2IeAZSsgXWWsrv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\ni5tb5ycAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = [\"Sample_size\", \"Median\", \"Employed\", \"Full_time\", \"ShareWomen\", \"Unemployment_rate\", \"Men\", \"Women\"]\n",
    "\n",
    "fig = plt.figure(figsize=(5,12))\n",
    "for r in range(1,5):\n",
    "    ax = fig.add_subplot(4,1,r)\n",
    "    ax = recent_grads[cols[r]].plot(kind='hist', rot=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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68DDwwYi4JZ/+byNp11qDHJingKeBf5a0WkT8BTgZ+LCk7ftbnzpkE6qkoyUdIml0z69m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\nrkJggg==\n",
      "text/plain": [
       "<Figure size 360x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols = [\"Sample_size\", \"Median\", \"Employed\", \"Full_time\", \"ShareWomen\", \"Unemployment_rate\", \"Men\", \"Women\"]\n",
    "\n",
    "fig = plt.figure(figsize=(5,12))\n",
    "for r in range(4,8):\n",
    "    ax = fig.add_subplot(4,1,r-3)\n",
    "    ax = recent_grads[cols[r]].plot(kind='hist', rot=40)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas, Scatter Matrix Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x110c8c198>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110d974e0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x110db8780>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110dd6a20>]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ow+vxsO+tfrweuzpKyuuDgNeYSGXpbqrlwU2tZHOOc8OT7wZjhQUge5vDNIaD\nDE4kqQv5aIsE8XoMn9foaqxhQ1sdXQ3XzgupD/mLEyehqS5IIvPuPvCJTI6ReBqA2FSavHN4MFrq\ngnzu7h6ePTHEmaE4fq8RDvnwe42uhhqMwpbBHfUh8nlHwPtuArtUbALri914Bvz54sCFi7EE+bzD\n4zGOXIhx+PwYAI21AV49V1gQc3AixY6ehpLWFFtuVjeFCflHcTh657F52nJPJjHgyr6h0eLjq8zs\nceBxgNWrVy9uZCtcqTWjUq3UmlW0xsdIPE1PYw13dNeTyORpiwR54sfHyOUdv3xfL1s6Cv/kNxRX\nCv7ZHV0MTKTY3l1/zZfflU7xX9y7mql0jngqQ1skSMjv5fJYEp/XWNNcS1skyKf39OD3eLg0NsXz\np0aYSGZZ11pLd2OYtkihD6Y1GuIze3rY09vEurYw+ZwrzKxf20TLdRMWu5vCfO7u1ZwdmeLndnRx\n1+oGcnlHwGdsbo/wy/f2su/Nft63tumahRnboqGr82ciQT/1tX5+dscqTg5Osq2rHr/XWNdSRzbv\nrln88ZEt7bzRN8b27gZu5KHNrbx6LsaWziieYjNXYzjAlW6Xxlo/vc1hXpuK0dUQIuirrgUjWyNB\nHn9wHcC8mgHNFTfLWY6KfSa/5pz7NTP7feC/OOdemunY3bt3u0OHDl19XOkvQynNSksmu3fv5tCh\nQ6Szec6PTtERDREOvvtbL1n8ZT/fX8qpbI6xRIagz0Mqm6e+prBnPIDPY9d0ZE+mskwkMoT83sK8\nFJ8Hv9dDYNqX63gyw9hUhu7Gmht2giczOcaL64eV05XvrHJ1vg+MJzGzq4MCxpMZwgGf+lWKzOxl\n59zu2Y5b1jUT59wrZpY0s/3A4RslEpHlIuDzzDjzu9TmlqDPS1tkbu9RF/RRF7z5V0M0VOhvuZmQ\n37sgzUTlHsHVdt2+87Ndl8xsWScTgOU0HFhWDg2AELnWsm7muhUtLS2ut7e30mGIzOjMmTPo36cs\nRS+//LJzzs3agbTsayZz1dvby/Q+E5Gl5EqfichSY2avzOW4qkkm13vp9AhHL45x1+oG7lrdWOlw\nRESWteoa+1bknOOFk8OMJTK8cGq40uGIiCx7VZlMzIz1bYUlszdozwQRkZJVbTPXx7Z3kczkqmqG\nq4jIQqnKmskVSiQiIuVRtTUTkZWslHkwmgMj81HVNRMRESkPJRMRESmZkomIiJRMyUREREqmZCIi\nIiVTMhERkZIpmYiISMmUTEREpGRKJiIiUjIlExERKdmCJRMz6zKzK3u0+4plT5jZfjP76rTjylom\nIiKLbyFrJiPAI8CLAGa2EwiYFXwIAAAgAElEQVQ75x4AAma2p9xlC3gtIiJyEwu20KNzLgkkzexK\n0T3AvuL9fcBeIF/msoMLcCkiIjKLxewzaQDGi/fHgMYFKLuGmT1uZofM7NDg4GBZL0ZERN61mMkk\nBkSL96PFx+Uuu4Zz7knn3G7n3O7W1tayXoyIiLxrMZPJCxT6UAAepdCXUu4yERGpgIUczeU3s33A\nncAPAT+FPpT9QN4595Jz7pVyli3UtYiIyM0tZAd8hkKNYboDMxz3xXKWiYjI4tOkRRERKZmSiYiI\nlEzJRERESqZkIiIiJVMyERGRkimZiIhIyZRMRESkZEomIiJSMiUTEREpmZKJiIiUTMlERERKpmQi\nIiIlUzIREZGSKZmIiEjJlExERKRkSiYiIlIyJRMRESmZkomIiJRMyUREREqmZCIiIiVTMhERkZIp\nmYiISMmUTEREpGRKJiIiUjIlExERKZmSiYiIlEzJRERESraoycTMas3se2b2lJl9y8yCZvaEme03\ns69OO27eZSIisvgWu2byIeCAc+79wEvAl4Cwc+4BIGBme8xs53zLFvlaRESkyLfI5zsJ7CrebwAm\ngX3Fx/uAvUC+hLKDCxi7iIjcwGLXTI4D7zOzN4DdQBYYLz43BjRSSDLzLRMRkQpY7GTyy8APnXPb\ngO9RqBlFi89FgVjxz3zLrmFmj5vZITM7NDg4WP6rERERYPGTiQEjxftDxdtHirePAi8CL5RQdg3n\n3JPOud3Oud2tra1lvAwREZlusZPJ14BPm9lTwC8C/wFImtl+IO+ce8k598p8yxb5WkREpGhRO+Cd\nczHgseuKvzjDcfMuExGRxadJiyIiUjIlExERKVlVJpN83hFPZSsdhojIirHYkxYrLp93/OXL5+mL\nJdnd28gDGzXKS0SkVFVXM0lkcvTFkgCcHopXOBoRkZVhTjUTM2sF/hHQO/01zrlfWZiwFk446GN3\nbyOnh+LsXddc6XBERFaEuTZzfQvYT2ENrNzChbM4msNBALobayociYjIyjDXZFLrnPvtBY1kkQyM\nJ/nhG5cBiKdyfOj2jgpHJCKy/M21z+S7ZvaRBY1kkQR8HrweAyDkr7ouIxGRBTHXmskXgX9hZikg\nQ2GNLeeci978ZUtPQ22Az+7pYWQqzca2SKXDERFZEeaUTJxzK+pbty0aoi0aqnQYIiIrxpznmZhZ\nI7ARuPot7Jx7ZiGCWmjOOS6MJmio9RMJ+SsdjojIsjfXocG/SqGpqxt4jcKuhi8ADy9caAvnqWOD\nvHYuRk3Ayy/f00tNwFvpkERElrW59kB/EdgDnHXOfQC4C1i2u02NxtMAJNI5EpllP9JZRKTi5trM\nlXTOJc0MMws65942s80LGtkCemhTKwdOj9BZH6IpHKh0OCIiy95ck8kFM2sA/gb4sZmNAn0LF9bC\naq4L8pE7OisdhojIijHX0VyfKN79V2b2d0A98IMFi0pERJaVmyYTM4s658bNrGla8evF2zre3c9d\nRESq2Gw1k68BHwNeBhyFyYpXOGDdAsUlIiLLyE2TiXPuY8XbtYsTjohUWu+XvlfS6898+aNlikSW\nk9mauXbe7Hnn3CvlDWdxpLN53rw0TktdgO7G2psee6x/gkwuz9bOKGZ202NFRKrVbM1c/654GwJ2\nA4cpNHVtBw4A9y9caAvnqXcGeKNvHI8Zv3zvGhpqZx4efGJggu8duQRAJufY0dOwmGGKiCwbN520\n6Jz7QHGS4llgp3Nut3NuF4VJiycWI8CFkHeFW4fDudmPA8jlb3KgiEiVm+s8k9ucc1dGceGcO2pm\nOxYopgX3/s2tNIUDtEaCNN5k0uKm9gjprXmyecf2VfWLGKGIyPIy12Tylpn9MfCnFEZxfR54a8Gi\nWmAhv5e71zbNfiBwu5KIiMis5ppM/iHwjyms0QXwDPAHCxLRIsjnHWOJDH6vYWaEg3NePFlERGYw\n1xnwSTP7Q+D7zrl3FjimBfetwxd54+I4l8YSbO6I8nM7VrG6+eajukRE5MbmtGqwmX2cwtLzPyg+\n3mFm357PCc3sl8zsJ2b2lJmtMrMnzGy/mX112jHzLpuLCyMJJlNZRqcy5PKOi7HEfC5FRESK5roE\n/b8E7gZiAM6514DeWz2Zma0CHnLOPeKcez/QDoSdcw8AATPbU5zbMq+yucbx/s1tbO2K8sDGFta2\nhNnerX4REZFSzLWzIOucGyvDpL3HAK+Z/QR4E3gb2Fd8bh+FTbfyJZQdnEsQmzsijE6l8XkMMzh4\nZoTNHRGOXhynu7GGLZ033tr+tfMxhidT3L22acZdGrO5PAdOj+Ac7F3XhM8713xd6Ms5cHqEdC7P\n3nVNBH3atEtEloe5JpOjZvYLFBLBRuA3gOfncb52IOCce8TMvgI0ACeLz40B24BcCWVz8uq5UV4+\nO8pIPEUuD62RIM+dGKI24OONvjG6G2tmTBSXx5L83dsDQGEW/YdnWMb+aN84L50urH8ZDnq5a3Xj\nXMPi2MAEL54aBsDvNe5d3zLn14qIVNJcfzb/Uwpf1ing68A48M/mcb4x4Oni/Z8Wb6PTbmPFP/Mt\nu4aZPW5mh8zs0ODguxtDXkkUQZ+XoL/wETSHg0Bh2LD/BrWJmoAXv9eueY/rRUK+afdvbX/5uqCP\nK5W/qPamF5FlZK6juaaA/7n4pxTPA/+oeH8HhTkrjwB/ATwK/BcgC/zaPMuuj/tJ4EmA3bt3X53C\nvrUrSm1x3/fagJdkJs+qxhpOD8VpjQQJ+WduXqqv8fML71tDbCrN2pbwjMesb63jM3t6cMCqhpo5\nfCTv6m6s5XN3ryadzdPTpNFlIrJ8zLbQ401HbDnnPn4rJ3POvWZmCTN7ChgCfgH4P81sP3DYOfdS\n8bzJ+ZbNRTKT46l3BoglMjx8Wxvbuwtrbm1oq5v1tU3hwKxb/XbdYhKZrj0amvdrRUQqZbaayT3A\neQpNWwe4dj+TeXHO/Y/XFX1xhmPmXTYXo1NpRqcyjMTT7Huzn80dkaud3X2xBLm8U81AROQWzNZn\n0gH8C+B24KvAB4Eh59zTzrmnb/rKJaw9EqKzPsSF0SkmUlmeOzEEwJmhOP/t4Hn+6uULvH15vMJR\niogsH7OtGpxzzv3AOffLFIbengCeMrN/uijRLRCPx3hkSzt39jQQDfnxegofw2Qqe/WYiWT2Ri/n\njb4xnj0+RCKdW/BYRUSWg1k74M0sCHwU+ByFiYq/B3xzYcNaeK2RIJ+8q5tYIs3W4rySLZ1RxpOF\nWfE32rvk8liSH73RD8BUOsvPbOtYtJhFRJaq2Trg/4RCE9ffAr/jnDu6KFEtktXNtazm3b4Rr2f2\nuR0BnwePGXnnbjjqS0Sk2sxWM/kCEAc2Ab8xbQa8Ac45d+Op4ktcJpvD6/Hg8dzamIKmcIDP7Okh\nlkizqS2yQNGJiCwvN00mzrm5rwWyjDz1zgD/6dnT1AV9fOnDt7GmeeY5IzfSUR+io15DeEVErliR\nyWI2B06PkM7mGYmnebNveYzaSqRznBueIpvLVzoUEZH3qMpdoT64pZ1zw3EiIT+71sx97axKyecd\nf37wHLGpDBva6vh7d3ZVOiQRkWtUZTLZ0dPArz6wDr/XQ32tn5dOj9AUDsxpBnwlZPJ5xhOFocoj\n8XSFoxERea+qTCavno/xzLHCwo+Hzo4yGk9jBr/4vjW0RoIVju69gj4vP7OtnZODk+y8hVWIRUQW\nS1UmE++0EVz+ab1G1w/sOj8yxcEzI/S2hCv+Jb6lM3rTfVZERCqpKpPJnd31BLwe/F6jtyXMm33j\nNIUDNNddWyt5+tgggxMpzg5Psbk9QjhYlR+XiMisqu7bMZd3fP2lczz5zEnGpjLcvqqeT+/p4Udv\nXGZgMsXm9gifuGsVzXVB2uqCPHNskGw+z+mhSW5fNfOseIBnjg1y+HyM7T0NPLSpdRGvSESk8qpu\naHBsKs2hMyOMxNOksjlODU7yd28PMDiZ4tzwFLGpDCcGJgHYsbqB1U21bO2M8taliZu+75ELMbJ5\nx5Hz79mjS0Rkxau6ZNJQG2B3bxNN4QBBn5f1rXU8fFsbrXVBVjfX0lDrvzqqq7kuyJbOKDUBH3d0\n19/0fe/sacDnMbbfYE0vEZGVrOqaubwe4/N71/D5vWvmdOzP7+qe0/s+sLGVBzaqeWsusrk8b14a\np77Gf8urD4jI0lR1yUQq74VTwxw6M4oZfO7u1dpdUmQFUDJZppxzvHBqmPFEhvs2tBAJ+Rc9hkwu\nz/7jhfk6929oJeCbW6tpLu8AcA7yzi1YfMtZ75e+V+kQRG6JkskydW5kigOnRgDwejx8cGv7osfw\n+sUxDp8fA6C+JjDnpWnuXd9CXdBHfY2fzvqahQxRRBZJVSaTfN7x/aOXONY/QTbn6G0O8/EdXYT8\nXt7sG+fZE4P0Nof54NZ2pi27v6REQ378XiOTczSFF79WAtBUG+DKx9MUDsz5dQGfh929TQsUlYhU\nQlUmk0tjSV4/H+PE4CQuD36vh9NDcRpr/Tx9fIBYPEM8leOe9c0zNh+lsjlS2TzR4nPOOcYSGSIh\n/zWz6xdSYzjAF/b2Ek9n6WpY+F/3ubxjIpmhvsZ/NcH2toT5xfcVBjIsxWVoRGTxVF0ymUpn+c6R\nPr5/9DKj8TT1tX52r2viuZND7Huzn8tjSaIhP/dtaCEceO/HE09l+bMDZ4mncjyypY3t3Q385K0B\nXr84Rkd9iM/u6Vm02kx9rZ/62sWplXzj5QtcjCXY0hnhQ7d3Xi1XEhERqMJ5JiPxNFOpLBOpLB6P\n4TH4yO0dnB2aIp3Nk8071rbUsrYlPOMujCPxNPFUDoDzIwmg0H8Bhf3hU9mVt99INpenb6xwrVeu\nWURkuqqrmaxqqGFda5hI0MdkKktHtIbVTWE+cdcqcnnH2pYct3fVc8/65hu+/o5V9YzE0+xZW+hw\nfnBTCwfPjLKxrW5F7gvv83p4cFMr71yeqPiClyKyNFVdMjEz7lnfwsfvnGQ8mWHvumY8HmPnmkZ2\nzmE0ksdjPHrdyKkNbRE2rPD94HeublQiEZEbqrpkAtAeDfHR7V2MxNPLYqdFEZGlrur6TAD2Hx/k\n4JkREpksf3HoPE8XN8oSEZH5qbqaSTyV5aXTI0wmMnz78EU2tUUYiafZubqhIrPIRURWgorUTMzs\nN83s2eL9J8xsv5l9ddrz8y6bjcfgeP8k3zrcx4XRBG9dGicS8s04DFhEROZm0ZOJmQWBO4v3dwJh\n59wDQMDM9pRSNpfzjyezmDnS2RwT8RQ1fg8bWsMc65/gzb4xzg1PcWkswU/f7ufbr11k//EBkpkc\nzjlOD8UZmkwtyOeyEo3E05wanCSf1/pbIitdJX6O/yrwJ8C/Bu4B9hXL9wF7gXwJZQdnO3mN38sL\nJ4eZTBfmg7x6fowv/+Ad6oJefF4P27qiJNKFJdLPDcdpCgf4+V3d3LW6kRdODl9dwv5Wlg+pRuPJ\nDF87cJZMzrFzTaN2n6wipS5SeebLHy1TJLKYFrVmYmZ+4CHn3E+LRQ3AePH+GNBYYtn153vczA6Z\n2aHBwUInezp37aTCXN6RzuSYSudwDjJZRzKbI5XJ4YrPj8TTnB2e4uxwnPFEhngqW+pHseIlMzky\nuUKNZDKpz0tkpVvsmskXgK9NexwDosX70eLjXAll13DOPQk8CbB7924H0FIX5J8/tpn/sO84ubzj\nvvXNbOyI0hYNksrkWd1cy6b2CM+fHOLVszEiNT6+sHcN33jlAnnnyOYdPU215fk0VrC2SIhHtrQx\nOJHi7rVa1FFkpVvsZLIZ2GFmvw5sA1qA7cBfAI8C/wXIAr82z7I5+cLeXlKZPMf7J5lIZnh0aztb\nOqOMTWX48Vv9TKVj/OyOVXxqV8/V10RCfta21NGyBNeiOj0U58CpYXpbwuxdN/PM/UrY3j33LYwv\njyV5+tgAbZEQ79/cumRXay7VycFJXjo9wvrWOiVZWVEWNZk45377yn0ze9Y59ztm9lUz2w8cds69\nVHwuOd+yW4iGM8NxPAb/ft8x7t/YiuHYf2yISMjP+tY6Nne8O6v9U7u6OTs8xdqWpbfN7LPHBxma\nTHNpLMkdq+oJB5ffyLQXTw3TF0vSF0uypTNKR/3K3H3x2eNDjMTTXB5Lsr27fkUuvyPVqWLfOs65\n+4u3X5zhuXmXzcXfvn6JoYk07dEghpHJ5xmaSNE/niSWyDCRyhLwXvvLOBLyc/uq+vmcbsH1NNUy\nNJmmNRJctl9OPU01nB6KEwn5aFiklZAroaephpF4mvZoiIC3KucMywq1/H7Cliifdxy9OMZQPEVT\nOEDAY+x7e4BUJs9Ht3fQWOunvjZAV2MNo/E0qWx+yf9Kfv/mNnb0NFAX9C3afirltmtNExvaItT4\nvXPe/nc5evi2dnaubqQu6JtxVWqR5arqkgnA8YEJDp8fI49jqjgyyzB2rWni/g2t5J3jh0cv8+r5\nGNGQnw9ubV+ytZIrGmqX/1Dl+pqVWyOZbiX8XYlcr+qSSc45MjmHmWNyKlO4D4zEk3z7tYs44PkT\nQ8RTWWJTae7f2MpIPH3Ne5wdjhfbvBuoCczcrJTLO147H6PG72VrV/RquXOON/rGyeYd21fVz+nX\nqXOOoxfHyTvHHXN8zWxG42ne6Z9gXUuYtujC1LySmRxHLozRUhdgXWvdgpxDRJaGqksm8VSWhtoA\niUyePEbAV/hizjnjj589jQOS6Rz5vCPo9/LmpQn+l4+9OyppLJHhb17tI+8cg5MpPra9a8bzHDwz\nwgsnhwGoCXivdty/fXmCH7/Zf/W4HT2zj3h669IE+9569zV3zuE1s/n24T5G4mlePRfj1x9atyCj\np54+NsibfeOYwRf2rqG5bumNhBOR8qi6ZGIY4KjxezEHtUEfXoOBiRQ557DC03g80BQO0NVQg9/r\n4UdvXCaTc+zqbbh6jPcmX8DT+y6mHze9PJ3J890jfYR8Xt6/uRWf10M+73jm+CBjiQwPbWqloTaA\nxzPz+5biSu1mIfuAr1y3YXhW6FBfESmoumSSc476Gj89jbUMTqbY1B4hm8uTzjni6Swhn4fmuiA7\n1zSwrauBBze1cqx/kjf6CpPtG2v9fGpXN/3jyWuar663a3UjNX4vIb+X1c3vTnLc1B6B7ZDNOYYm\nkxzvnwRgVWMNWzqjnBuZ4tVzhfmXIb+Xx7Z1cFtHFMPIO8dtHdduwpXO5nn2xCCGcf/GFvxzzA4/\nu6OLEwOT9DaHF2xOx4ObWmmJBGkOB2jU8jMiK1rVJZNw0Fv8tW+E/B6OXhhjJJHGAJ/HaI2E6KwP\ncWIgTiYHH7mjk4DXg9dT+DJvi4boaqihq6Hm6nueGpzkB29cZmA8SWNtgLvXNnPP+uYbdtpvai8k\nhGP9hlkMrxnNdQH6Ygm+9dpF3ugbY1N7hPZpfRmbO2beyfH1izEOnx8DoKHWz11z3A0xGvIv+M6J\nAZ9nTs14IrL8VV0yCfq8/Mp9awl4Pbx8ephzIyOYy4MZq5vCdDfWcjE2RSKTx4A3+8a4d30zt6+K\nEk9m6YslaIsGiU7b++SNvnESqSyHz49xx6p6Dl+I3XAP+ek2tUdoqQvi9xqRkJ99b/YzkcyyobWO\nBze1zumLuLE2wJWKRSTkY2A8SVM4gG+GGsrQZIragJdaLbcvImVWld8q0Ro/v3L/WrwG52IJzgxN\n4fHAZDpbaAarDTAxkqAlEmRrVz1//OxpfvTGZYYm0jy0uZXheIpP3NV99f22dUV56p0B8s5xdmSK\nR7e1zTmW6asPnx2J89blcdoiQe6Y41Dkda11/ML7VmMYT70zwIXRBGuaa/nkzu5rjnv57CjPHBsk\n5Pfy+b2rl8RGYBdGp/B6jM76mtkPlqqhVYeXp6pMJgCZXJ6pTJ77N7aSzQ3QXBck7xxbuyL0xVLs\n7m3iA5vbiktfpDCMrHMkMzkGJ1Ic65+42ly1rrWOXWua6G4s9I3c1TO/5qNkJs/uNU34vXZLS6K0\nRQrNYf3jSQAuF2+nu/JcMpMjNpWpeDJ5+/I4f/v6ZQA+uXMVa5qX3jI1IjJ3VZtMIiE/D25q4ezw\nFE3hAJdiST61q5updI6XTg9zOZbgO4f7qAv6ePi2VoI+D811AVrqApwYiPO9I5dwd7zbl/HQ5lYO\nnBqmNRLgtfMxOutr2NB2a3MrPri1ndcvjLFt1Y079m/m0a3tvHFxnDu631ur2buumXQ2T1M4QHdj\n5WsC05eln9AS9SLLXtUmk1S2MKHuWP8Em9oidDeF+Nujl1jTXIuZkcjkGZyYpKkuyN+r7+K3P3wb\nr5wb5cWTw6SzeWoC3qt7nbx4apiO+hCf3NnN37x6kdNDccxG+Yf3rb2lWd2b2iNXazvzcVtHlNs6\nZk5ETeEAP3fXqnm/d7nd2dNAIpPDa8aWzvklTxFZOqo2mRw8PcIPjl7m4miCw+djTKZydNaHGI2n\n+ezdq6kNeDk5OInPY0RCPoYmUzz9ziDOOcJBLw/f1s6Wzgjfeq2P00Nx3rk8wZqmWkL+Qse33+vB\n79Xcihvxez08sFG7L4qsFFWZTMaTGQ6cHmF4MoXHDI8V+hJG4ilq/F7eulxYZmQqnSOVzfHNVy4S\nrfHh8xrZHOxY3Xi1KakxHOD0UJyQvzBK6pEt7axuCtMaCWrUlIhUjar8tjveP4nHCpP81rXUcXKg\nMHHw/OgUWzqjDE2k2NgW5rFt7Rzrn+D00BSTyQwPbGxlVWPNNX0OD25sYV1LmIZa/9V1um42mVFE\nZCWqymSyprmWmoAXI4DPY8SSGWJTGX5mWxvjiRwAb1+aYHQqQ0Otn1Qmxzv9E5gZn9rVfc2McTPT\nNr4iUvVW7sYRN9FSF+Rze3rw+zz89J0BvGbcsSrKhtYIH7+zk8cfWMtYojDCKJXN86E7OtnaGWEk\nnubty+MVjl5EZOmpymQCkMjkSWfz9BQ7zcNBP8+fHOavXr7IyFSGhza30h4N8eDGVrZ0RphI5Ria\nTPH25QkyuXylwxcRWVKqspkLCutYhQNevB7jC3tX8+r5whpXeedIZXPs6Gm4ZjmTrZ1RGmsDeMzI\n5R3LdHdcEZEFUbXJ5OCZEeLpQv/IcDzNvetbCPq81Nf4r85kn+6xbR0cuThWHP6rTCIiMl1VJpOv\nHTjLd49cotbv5fbuesJBHyG/l/s2tNzwNY3hAA9t0rwIEZGZVF2fSTyV5QdHL5PLOyZSWX5+5yot\nNCgiUqKqSyY1fi8b2upwrrAH+0xNWiIicmuqLpl4PMY/vHctu3ubaK8PMZHSIoMiIqWqumQCcHJo\nEr/Xw0Qyy/mRqUqHIyKy7FVlMvF5jJF4ipa6AOtabm2ZeBERea+qSyZ9sQQHz4zSFA7S1VBzdT0t\nERGZv0UdGmxm7wOeAHLAIefc/2BmvwX8LHAW+AfOuUwpZbPFEPB58JiRd46gT4lEZKXRtr+Vsdg1\nk7PAw865B4A2M3sA+IBz7n7gCPBzZtY637K5BNBSF+TTe7r58B0d3Lu+ufxXKCJShRa1ZuKcuzzt\nYRbYDjxVfLwP+AVgqoSyv5xLHJ31NZpbIiIzWu41m0rFX5E+EzPbDrQAMeDKMrxjQCPQUELZ9ed5\n3MwOmdmhwcHBBbgSERGBCiynYmZNwH8EPg3sAq5sTB6lkFxiJZRdwzn3JPBk8byDZnZ22tMtwFBZ\nLqq8FNetWSlx7TSzVxYqmHlYap/rUosHbhCTfaUCkRSU5TOaIf41c3ndYnfA+4A/BX7LOXfZzA4C\n/z3wb4FHgReBUspuyDl3zcJaZnbIObe7bBdXJorr1qyUuJbadSie2S21mCodz2I3c/19YA/wFTN7\nClgPPGNmzwI7gL9xzg3Mt2yRr0VERIoWuwP+68DXryt+AfjKdcd9Zb5lIiKy+Kpu0uI0T1Y6gBtQ\nXLdmpcS11K5D8cxuqcVU0XjMOVfJ84uIyApQzTUTEREpEyUTEREpWdVs22tmu4C9FCY3xoAXnXOH\nKhuViMjKUBV9Jmb2BBCksOzKGIVJjo8COefcb1Q4tiWX5MzMS2Gts2viojAku6K7iS3Rz+uWYlqK\nn+9S+1yXWjxLMaYlF0+VJJNnnHMPzrV8sSzVJGdm/5XC4pk/uS6uO51zn69gXEvu85pPTEvt811q\nn+tSi2cpxrTU4oHqaeY6ZGZ/SOGDH6fwwT8CVHr5il0zJLO/NrNnKhLNu3qdc1+4ruxVM9tfkWje\ntRQ/r/nEtNQ+36X2uS61eGDpxbTU4qmOZOKc+00zu4v/v73zj9WyLOP45wuIIijkj8w2nLmShkCo\n6CJL0KmVGY2ZTWshOEP7xdT8QclaZDZbalPLjNRVI4VaM3+EipuipmLoiEOMSdlolDZlmYgUJHz7\n475fz8PLAT3nPec89znn+mzPzvPez/u8z/e9znve69zXdd3XA5OBI0lTwgW2V9arrFgnd7ek+0hd\nmTcBI4ETgXvrFEWZ9uqKptLsW5pdS9NToqbS9AyMMFfJVJzcSNrjnnU7OSQdBBxPu65nbNfeerlE\ne3VFU2n2Lc2upekpUVNpegbEzKRwBuVtCDA4b7WSE8RTSB/UdwCvAMMl1Z6Ap0B70UlNhdq3NLuW\npgfK01SUnpiZ1EhOog1l10RsCQn41eya3CshAV+UvbqiqTT7lmbX0vSUqKk0PQDYjq2mDXisM+O9\nqOvxzowPZHt1RVNp9i3NrqXpKVFTaXpsR5irZopLomVKSxA3KNFekYDv/3pK1FSanghz1U1pSbQG\npSWIG5Ror0jA9389JWoqTU/MTOqnqCQaFJsgblCcvYgEfE9Qmh4oT1NRemJmUiNFJtEoL0Fc0VWc\nvSIB3//1lKipND1AJODr3CgwiZavX1SCuGR7dUVTafYtza6l6SlRU2l67EjA101xSbTMPU0J4v1J\nYZl76hRFmfaKBHz/11OiptL0RJirbipJtFGkJNpTwBDbK2rW9WFgfNb0KrACOML20zXrOp70RzME\neAOw7Wtq1nQ0qXtr4yp/QboAAAckSURBVHd4kO2r3uKcSMD3IT0laipNT8xMakTSIGBV3t4cBh4A\nTq1FFCDpOuCdwHbgQOA82y9LWgycXKOu2/LuNuBg4AVgk6QFtmfXpOlxwKTfW4Oxkk71bjpSRwL+\nbVGaHihPU1F6YmZSI5K2kO5jsdMwMMH2gTVISgKkR21PyfsTgBuBy4Dv2a7TmVR1rbY9Pu8/Yvuk\nmjRdAkwAfmZ7WR673/bH93BOJOD7kJ4SNZWmB2JmUjdrgem2X60OSnqoJj0Nhkgaanub7TZJ04GF\nwFF166rsf6Oyr+Yn9ha2r5c0FDhf0oXAHW/jtMMdLej3RGl6oDxNpekJZ1IzZwD/6WB8t//V9hIX\nk+L/LwHYfkXSNOCsWlXBbEmDbW+3fS9A/iK/vk5RtrcBN0taAHyencOWHVFagUNpydzS9JSoqTQ9\nEeYKgjoorcChK0UEPajlUOBdtCeXBewArq0rp5T/aZlLyo+9AeyV92+y/e+aNEUCPggGMqUVOHSl\niKCH+aXtkyXNArYADwMTSSHEz9SgB2AxyeGPAo4FlgAb8/hHa9JUVAI+nEkQ9D6Tmgocfi3pshr1\n3EUniwh6mB3551jbp+T9pZIeqUkPwCjb34U3iz+uy/sz6xDTlIBfSwpzzZI0IxLwQTBwKKrAoYtF\nBD3JzyXdCmyQtBB4lOTsnqlR0+uS5gF7A/+U9DXgX8DWmvQUl4CPnEk/QNKVwGdJYZMdwAU9FXuX\ntAy41HbLf9j5i2uL7V+0LKwPkRderrf9UmVsMHCW7UX1KQNJQ0hFBGNsz61Rx7tJ4aNDSDmlJ22/\nVWFDT+oZBnwMeB74M3AuKSx4R3M1Zi/puR7Yl10T8FttX9TbeiCcSZ9H0mRSNdNU21vzyuqhtl/o\noesto5ucSRAEXae07hkR5ur7HApstL0VwPZGAEnfBD4JDAOeJM1WnJ3BSlIS8WBgBvB1UmXRYtvz\nJB1OWoX/NHA0sA6YYXtL9cKSTgPmk6b+zwOzbG/uSKSka4BppEqYpbYvlfQtYDMprLKk8vTxwBGk\n5OstwGF5/CLbT3TaQkHQzyixe8agOi4adCtLgdGS1km6WdKUPP5D28fZHkdyKGdUztmW4623AHcD\nXwbGATMlNVbejwEW2J5AmkZ/qXrRPAOaB5xi+xhSPPuSjgRKOgCYDhyVX+871eO2X7A90fZE4KfA\nb2z/DbgB+IHt44AzgVs7bZ0g6J9sJoW4mrdj6hIUM5M+ju3Nko4FPgKcBCyWNBd4TdLlpLjqAcAa\n2rvSNhbHrQbW2H4RQNJfgdGkKfOGyixgITAHuLZy6Q8CY4EnJEGqLHlqNzI3Af8FbpX0O+C+jp4k\n6QTg/PxeILWHGJtfH2B/SfvZfm2PRgmC/k9x3TPCmfQDbG8nraZeJmk1cAGp+mWS7Q05nLRP5ZRG\nBcoOdq5G2UH7Z6I5mdb8WMBDts95G/reqHT7PRv4Ck3rKfJCtduAaZVQ2SBgsu2OugQEwUCmuO4Z\nEebq40gaI+l9laGJwHN5f6OkEcCnu/DSh+XkPsA5wO+bji8HTpD03qxjX0lH7kbjCGCk7SXARVlj\n9fhewK+AK2yvqxxaSnI8jeftdF4QDFRsv5jb+DSP13Zb7ZiZ9H1GADdJGkVKbv8FmE0KVa0G1pNW\n7naWtcC5kn5CKoX8cfVgXrE9E7hT0t55eB4pWd/MfqQbQu1DmtFc3HT8Q8BxwHxJ8/PY6aTQ2o8k\ntZE+q48BF3bhvQRB0MNEaXCwC7ma676cvA+CIHhLIswVBEExSHK+30vj8RBJL+cuy515nWWSJuX9\nJXnmHvQgEeYKdsH2elKpcKeRdBfwnqbhK2w/2KquYEDwOjBO0rBceHEq8I9WXtD26d2iLNgjMTMJ\nuhXb0xtrRipbOJKgM9wPfCLvnwPc2Tggabik2yWtkLRS0qfy+DBJiyS15e7LwyrnrM/ropD0W0nP\nSlojaXblOZslXS1plaTlkg7pjTfanwhnEgRBaSwCzs4FGxNInRgaXAk8nBeyngR8X9Jw4IukPm8T\ngKtJHR464jzbxwKTgDmVRbrDSfcD+QCp0OML3f2m+jvhTIIgKArbbcDhpFnJkqbDpwFzJf2RtLZq\nH1K7nRNJi2sb57ft5uXnSFpFKm0fDTTK6rfRvpj22Xz9oBNEziQIghK5h9RxYSrpBmINBJxp+7nq\nk3OXhD2WpkqaSuqqMNn2ltynrrGY939uL23dTnw3dpqYmQRBUCK3A9+2vbpp/EHgq8reI3fOhRSa\n+lweG0cKjzUzEnglO5L3k1oCBd1EOJMgCIrD9t9t39DBoatI919vk/Sn/BjSotoReYHr5cAfOjj3\nAdKNydryecu7X/nAJRYtBkEQBC0TM5MgCIKgZcKZBEEQBC0TziQIgiBomXAmQRAEQcuEMwmCIAha\nJpxJEARB0DLhTIIgCIKWCWcSBEEQtMz/ARSq0cLMp8D9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x110ebbcc0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110ed9e48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110f010f0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x110fbc390>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110fdc630>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x110fdc668>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x111020b70>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11103fe10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1110690f0>]], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Yx+e0s2tVYOr66W3wciEYx+96P5lwoWj41qEBMrkiZ8fifH63jr1bTDSQU0rN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RCFUl4Uf4ZmeHx+ktuTHZtAa/0FrfVurfXu6urrazzm85rhWJqtDX5q/A7WVHtoryoEPJ3DCf7l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\nSP1/5HbKUKm3M0wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(10,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas, Bar Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1115e6ac8>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fSkqM/E7b91SgYzvS8zBwtO08Ge6HOJKUzm5h4ELbMwpdWwP3ZdKwS1u5Mo+Z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\noDQ9GArwAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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tq5L7SGw/1BvDncEngKOBe5RWGJrv7nimmJZu8q58y82RtIMHL5D9+0wxvS7T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\n/HUURocAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].plot.bar(x='Major', y='ShareWomen', legend=False)\n",
    "recent_grads[163:].plot.bar(x='Major', y='ShareWomen', legend=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
