shchokshi/gist:e4553084e4ad398458d5c91244e98ad8

## gistfile1.txt
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: TkAgg\n",
      "Response Summary\n",
      "Survey Filters: []\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invites</th>\n",
       "      <th>Invite_Pct</th>\n",
       "      <th>Responses</th>\n",
       "      <th>Complete</th>\n",
       "      <th>Partial</th>\n",
       "      <th>Response_Rate</th>\n",
       "      <th>Completion_Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>32481</td>\n",
       "      <td>100.0</td>\n",
       "      <td>6789</td>\n",
       "      <td>6395</td>\n",
       "      <td>394</td>\n",
       "      <td>20.90145</td>\n",
       "      <td>94.196494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Invites  Invite_Pct  Responses  Complete  Partial  Response_Rate  \\\n",
       "all    32481       100.0       6789      6395      394       20.90145   \n",
       "\n",
       "     Completion_Rate  \n",
       "all        94.196494  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Respondant Bias\n",
      "Survey Filters: []\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invites</th>\n",
       "      <th>Invite_Pct</th>\n",
       "      <th>Responses</th>\n",
       "      <th>Complete</th>\n",
       "      <th>Partial</th>\n",
       "      <th>Response_Rate</th>\n",
       "      <th>Completion_Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>17395</td>\n",
       "      <td>53.554386</td>\n",
       "      <td>2260</td>\n",
       "      <td>2080</td>\n",
       "      <td>180</td>\n",
       "      <td>12.992239</td>\n",
       "      <td>92.035398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>5806</td>\n",
       "      <td>17.875065</td>\n",
       "      <td>1300</td>\n",
       "      <td>1216</td>\n",
       "      <td>84</td>\n",
       "      <td>22.390630</td>\n",
       "      <td>93.538462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>4544</td>\n",
       "      <td>13.989717</td>\n",
       "      <td>1346</td>\n",
       "      <td>1292</td>\n",
       "      <td>54</td>\n",
       "      <td>29.621479</td>\n",
       "      <td>95.988113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>3461</td>\n",
       "      <td>10.655460</td>\n",
       "      <td>1299</td>\n",
       "      <td>1246</td>\n",
       "      <td>53</td>\n",
       "      <td>37.532505</td>\n",
       "      <td>95.919938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>1275</td>\n",
       "      <td>3.925372</td>\n",
       "      <td>584</td>\n",
       "      <td>561</td>\n",
       "      <td>23</td>\n",
       "      <td>45.803922</td>\n",
       "      <td>96.061644</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Invites  Invite_Pct  Responses  Complete  Partial  \\\n",
       "Zero_Trips           17395   53.554386       2260      2080      180   \n",
       "Few_Trips(1-5)        5806   17.875065       1300      1216       84   \n",
       "Mid_Trips(6-15)       4544   13.989717       1346      1292       54   \n",
       "High_Trips(16-50)     3461   10.655460       1299      1246       53   \n",
       "Heavy_Trips(>50)      1275    3.925372        584       561       23   \n",
       "\n",
       "                   Response_Rate  Completion_Rate  \n",
       "Zero_Trips             12.992239        92.035398  \n",
       "Few_Trips(1-5)         22.390630        93.538462  \n",
       "Mid_Trips(6-15)        29.621479        95.988113  \n",
       "High_Trips(16-50)      37.532505        95.919938  \n",
       "Heavy_Trips(>50)       45.803922        96.061644  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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xDllEJO7qxDsAERGRqpC7dj3u7dsiHt/OmBjDaEREDg26MiAiIiIikqCUDIiI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\nPX98++23M3To0Pzxcccdx8UXX5w/vvrqq2nXrh3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R2y96JLAQOD07/QVQtsylzYDyquq4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\nnAY0BT4GRgInGwQkSZKkdaNO9wxIkiRJWn/qes+AJEmSpPXEMCBpvYg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      "text/plain": [
       "<matplotlib.figure.Figure at 0x63002f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Access to another bike / backup bike\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Access to another bike / backup bike</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>37.2</td>\n",
       "      <td>62.8</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>37.5</td>\n",
       "      <td>62.5</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>36.7</td>\n",
       "      <td>63.3</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>35.7</td>\n",
       "      <td>64.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>39.6</td>\n",
       "      <td>60.4</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>38.4</td>\n",
       "      <td>61.6</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>34.2</td>\n",
       "      <td>65.8</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>37.5</td>\n",
       "      <td>62.5</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>39.5</td>\n",
       "      <td>60.5</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>38.3</td>\n",
       "      <td>61.7</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>40.6</td>\n",
       "      <td>59.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Access to another bike / backup bike           N\n",
       "all                                                37.2  62.8  6789\n",
       "male                                               37.5  62.5  4262\n",
       "female                                             36.7  63.3  2527\n",
       "<=35                                               35.7  64.3  3792\n",
       "36-50                                              39.6  60.4  1896\n",
       ">50                                                38.4  61.6  1101\n",
       "Zero_Trips                                         34.2  65.8  2260\n",
       "Few_Trips(1-5)                                     37.5  62.5  1300\n",
       "Mid_Trips(6-15)                                    39.5  60.5  1346\n",
       "High_Trips(16-50)                                  38.3  61.7  1299\n",
       "Heavy_Trips(>50)                                   40.6  59.4   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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Mjgin/x9wk5m1MrP9gN+Vt8EeNA36V7gtz4c/cwN8AHwbrqehmeUQJKlFzZU+As40s6Zh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\nMmP++kotc+Yx7Ws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xLFu2rHiegQMHFvfQE/136qmnlln2zp07S7T5j2ZmugegBin5FxER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\nz18xCNjgvt26dQMyI+tTpkzh7bff5u677+aKK67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33ngjw4YN48wzz2T77bfnkksu4cYb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\nKU8Y/EuSJEl54v8DaHUnAHjq3pIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7434630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Discount / Promotion\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Discount / Promotion</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>73.5</td>\n",
       "      <td>26.5</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>75.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>71.1</td>\n",
       "      <td>28.9</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>72.5</td>\n",
       "      <td>27.5</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>73.5</td>\n",
       "      <td>26.5</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>77.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>71.7</td>\n",
       "      <td>28.3</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>69.5</td>\n",
       "      <td>30.5</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>73.8</td>\n",
       "      <td>26.2</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>76.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>83.4</td>\n",
       "      <td>16.6</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Discount / Promotion     N\n",
       "all                73.5                  26.5  6789\n",
       "male               75.0                  25.0  4262\n",
       "female             71.1                  28.9  2527\n",
       "<=35               72.5                  27.5  3792\n",
       "36-50              73.5                  26.5  1896\n",
       ">50                77.0                  23.0  1101\n",
       "Zero_Trips         71.7                  28.3  2260\n",
       "Few_Trips(1-5)     69.5                  30.5  1300\n",
       "Mid_Trips(6-15)    73.8                  26.2  1346\n",
       "High_Trips(16-50)  76.0                  24.0  1299\n",
       "Heavy_Trips(>50)   83.4                  16.6   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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Q2Iq+AW8mXtvWwfi1/r4EvIRtl5nVBB4j/3fxE/m3x2K8bXePvy3izayVmbX3x/8duNfM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\nX5vr/JcAY4ABwLsRURYRayJiWErpPeBI4JfASuDrwDG11Td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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6300410>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Exercise, Fitness\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Exercise, Fitness</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>62.6</td>\n",
       "      <td>37.4</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>63.3</td>\n",
       "      <td>36.7</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>61.5</td>\n",
       "      <td>38.5</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>63.5</td>\n",
       "      <td>36.5</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>63.2</td>\n",
       "      <td>36.8</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>58.3</td>\n",
       "      <td>41.7</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>64.5</td>\n",
       "      <td>35.5</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>66.2</td>\n",
       "      <td>33.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>61.4</td>\n",
       "      <td>38.6</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>60.2</td>\n",
       "      <td>39.8</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>55.3</td>\n",
       "      <td>44.7</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Exercise, Fitness     N\n",
       "all                62.6               37.4  6789\n",
       "male               63.3               36.7  4262\n",
       "female             61.5               38.5  2527\n",
       "<=35               63.5               36.5  3792\n",
       "36-50              63.2               36.8  1896\n",
       ">50                58.3               41.7  1101\n",
       "Zero_Trips         64.5               35.5  2260\n",
       "Few_Trips(1-5)     66.2               33.8  1300\n",
       "Mid_Trips(6-15)    61.4               38.6  1346\n",
       "High_Trips(16-50)  60.2               39.8  1299\n",
       "Heavy_Trips(>50)   55.3               44.7   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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Zbf7PAAYAa4GFwPfAVe6+DjgTuB3YAPQGBiY5NhERERGR3VpSn/Pv7h8Dx1Uz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\nlPWYREREREQqinIV/AMTgQygPtAfeMbMWpXtkORoturf35f1EESkAtJ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bd5/o7vPKYvwi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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7433a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Get around more easily / faster\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Get around more easily / faster</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>76.5</td>\n",
       "      <td>23.5</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>78.4</td>\n",
       "      <td>21.6</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>73.4</td>\n",
       "      <td>26.6</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>78.3</td>\n",
       "      <td>21.7</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>75.1</td>\n",
       "      <td>24.9</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>72.9</td>\n",
       "      <td>27.1</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>69.3</td>\n",
       "      <td>30.7</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>76.2</td>\n",
       "      <td>23.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>81.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>82.4</td>\n",
       "      <td>17.6</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>82.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Get around more easily / faster           N\n",
       "all                                           76.5  23.5  6789\n",
       "male                                          78.4  21.6  4262\n",
       "female                                        73.4  26.6  2527\n",
       "<=35                                          78.3  21.7  3792\n",
       "36-50                                         75.1  24.9  1896\n",
       ">50                                           72.9  27.1  1101\n",
       "Zero_Trips                                    69.3  30.7  2260\n",
       "Few_Trips(1-5)                                76.2  23.8  1300\n",
       "Mid_Trips(6-15)                               81.0  19.0  1346\n",
       "High_Trips(16-50)                             82.4  17.6  1299\n",
       "Heavy_Trips(>50)                              82.0  18.0   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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JfvTYOrz2t+EsBjqbWRfzHiN4D+F36J+AQ0tu1Akjmh/uaGN/Ca/G/Ay/1rCBXyNWrsbM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\ndWA4cBTwKPANoAXkHxKaAX2AjyKiCXAe8BAwB1hSsVwou7bBX5KkAmf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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6dfe7b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Like to bike, fun way to travel\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Like to bike, fun way to travel</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>51.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>51.2</td>\n",
       "      <td>48.8</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>50.5</td>\n",
       "      <td>49.5</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>52.9</td>\n",
       "      <td>47.1</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>48.3</td>\n",
       "      <td>51.7</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>48.9</td>\n",
       "      <td>51.1</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>47.2</td>\n",
       "      <td>52.8</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>48.2</td>\n",
       "      <td>51.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>54.8</td>\n",
       "      <td>45.2</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>53.5</td>\n",
       "      <td>46.5</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>57.5</td>\n",
       "      <td>42.5</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Like to bike, fun way to travel           N\n",
       "all                                           51.0  49.0  6789\n",
       "male                                          51.2  48.8  4262\n",
       "female                                        50.5  49.5  2527\n",
       "<=35                                          52.9  47.1  3792\n",
       "36-50                                         48.3  51.7  1896\n",
       ">50                                           48.9  51.1  1101\n",
       "Zero_Trips                                    47.2  52.8  2260\n",
       "Few_Trips(1-5)                                48.2  51.8  1300\n",
       "Mid_Trips(6-15)                               54.8  45.2  1346\n",
       "High_Trips(16-50)                             53.5  46.5  1299\n",
       "Heavy_Trips(>50)                              57.5  42.5   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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C9cysVlC/UvtdhtgELAhZb+Odc2EfqRliG16cwYK/w+Lsa8timQRPvzy+g4LmfxNeE7Tg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\n7ixYsACAyy67jNWrV7PzzjszYMCAfEtC69atAdZ5YS+vT58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Y8OeU0py1WwyycreTW5/g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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e53170>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Recommendation from friend\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Recommendation from friend</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>88.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>90.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>84.6</td>\n",
       "      <td>15.4</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>84.7</td>\n",
       "      <td>15.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>92.1</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>92.3</td>\n",
       "      <td>7.7</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>88.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>85.4</td>\n",
       "      <td>14.6</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>87.8</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>88.6</td>\n",
       "      <td>11.4</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>93.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Recommendation from friend     N\n",
       "all                88.0                        12.0  6789\n",
       "male               90.0                        10.0  4262\n",
       "female             84.6                        15.4  2527\n",
       "<=35               84.7                        15.3  3792\n",
       "36-50              92.1                         7.9  1896\n",
       ">50                92.3                         7.7  1101\n",
       "Zero_Trips         88.0                        12.0  2260\n",
       "Few_Trips(1-5)     85.4                        14.6  1300\n",
       "Mid_Trips(6-15)    87.8                        12.2  1346\n",
       "High_Trips(16-50)  88.6                        11.4  1299\n",
       "Heavy_Trips(>50)   93.0                         7.0   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ISMpSwiMiIiIiIilLCY+IiIhUWl6btphZQn95bdomO2wRqUPMOZfsGCQOZub0\nWYmIyJ7GzPjil50SmqfLV/9Fx7SUZ8kOQKSU7vCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8\nIiIiIiKSspTwiIiIiIhIylLCIyIiIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpSwiMi\nIrIXaJ+7P2aW0F/73P2THbaISNLVS3YAIiIiUrGCFatws29IaB777bgaikZEZO+hOzwiIiIiIpKy\nlPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiI1KoG9eol3gFDTk6ywxaRvZQ6LRAREZFatW3HDtxDExOa\nxy4fUkPRiEiq0x0eERERERFJWUp4REREqig3t33Cj2jl5rZPdtgiInWCHmkTERGpohUrCpjx3tqE\n5jnrqNY1FI2IiITSHR4REZEQbfbPTfhujYiI7Ll0h0dERCTE2lUryLv+tYTmKbjzdzUUjYiIVJUS\nHhERkSRokI7uDomI1AIlPCIiIkmwbSe4UZlxT2+3FtVgNCIiqUvf4RERERERkZSlhEdERERERFKW\nEh4REZEUZfUS623OzGib0zbZYYuIVCt9h0dERCRFuR2Ogx8/OKF5Ph/0eQ1FIyKSHLrDIyIiIiIi\nKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiMger176Pgl1vtCoYeOEO2zIzc1L9mqKSA1QpwU1yMyK\nAVf6FmgEPOicGxaMPw6YAOQAHwAXOeeWJyNWERGRPdmOnT8z4bI3457+zw8fx/yXFiW0jF//Pj/R\nsERkL6A7PDXIOZfhnMt0zmUCrYEfgWcBzGxf4AXgJqAF8BHwTLJiFRERERFJRUp4as8fgHXOufnB\n+7OAz51zM5xz24HRQDcz65isAEVEREREUo0SntpzITAl5H0+8EnpG+fcj8CSYLiIiIiIiFQDJTy1\nwMzygGOAJ0IGNwUKwyYtAjJqKy4RERERkVSnTgtqxwDgHedcQciwzUBm2HTNgOJohYwePbrsdd++\nfenbt2/1RSgiIiIikoKU8NSOAcBfwoYtAgaWvjGzJsBBwfCIQhMeERERERGpmB5pq2Fm1gtoCzwf\nNupFIN/MzjSzBsAo4GPn3OLajlFEREREJFUp4al5FwIvOOe2hA50zq0Hzsbf+dkIHAb0q/3wRERE\nRERSlx5pq2HOuctjjJsDdK7FcERERGKqV78eZpbsMEREqo0SHhERESmzY/sOHvrmrrinv/yA62ow\nGhGRqtOQB3pKAAAgAElEQVQjbSIiIiIikrKU8IiIiIiISMpSwiMiIiIiIilLCY+IiIiIiKQsJTwi\nIiIiIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTwiIiIiIhIylLCIyIi\nIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpSwiMiIiIiIilLCY+IiIiIiKQsJTwiIiIi\nIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIkC9tDTMLKG/nHbtkh22iFSgXrID\nEBEREdkT7Cgp4e5zT01onmufnVlD0YhIddEdHhERERERSVlKeEREREREJGUp4RERERERkZSlhEdE\nRERERFKWEh4REREREUlZSnhERERERCRlKeEREREREZGUpYRHRERERERSlhIeERERERFJWUp4RERE\nREQkZSnhERERERGRlKWER0REREREUpYSHhERERERSVlKeEREREREJGUp4RERERERkZSlhEdERERE\nRFKWEh4REREREUlZSnhERERERCRlKeEREREREZGUpYSnFphZPzP7wsw2m9nXZvbrYPhxZvZlMPxN\nM8tNdqwiIiIiIqlECU8NM7PfAncAA51zTYFjgGVmti/wAnAT0AL4CHgmaYGKiIiIiKQgJTw1bzRw\nm3PuQwDn3Brn3BrgLOBz59wM59z2YLpuZtYxaZGKiIiIiKQYJTw1yMzSgMOA/YJH2Zab2f1m1hDI\nBz4pndY59yOwJBguIiIiIiLVoF6yA0hxrYB9gLOBXwM7gFeAkUBTYF3Y9EVARm0GKCIiIlJbGjVq\ntPann35qlew4JPU0bNjwu61bt7aONE4JT83aGvy/3zm3DsDM7sEnPPOAzLDpmwHFtReeiIiISO35\n6aefWjnnkh2GpCAzi5pIK+GpQc65TWa2Mnxw8LcIGFQ60MyaAAcFwyMaPXp02eu+ffvSt2/f6gtW\nRERERCQFKeGpeY8BV5jZG/hH2q4CXgVeAv5qZmcCrwOjgI+dc4ujFRSa8IiIiIiISMXUaUHNux34\nD7AYf/fmI+Avzrn1+O/2/AXYiO/coF+yghQRERERSUVKeGqYc26Hc26ocy7LOdfWOXdV0A01zrk5\nzrnOzrkmzrnfOOeWJzteERERESnviSeeoHfv3mXv09LSWLZsWRIjkkQo4RERERERqYCZRXwtez4l\nPCIiIiKSFG32z8XMauyvzf65NRK3eprbu6jTAhERERFJirWrVpB3/Ws1Vn7Bnb9LaPo777yTyZMn\ns27dOnJzcxkzZgy///3vayg6qS1KeEREREREgA4dOjB//nxatWrFc889x4ABA1iyZEmyw5Iq0iNt\nIiIiIiLA2WefTatW/vcrzznnHDp06MCCBQuSHJVUlRIeERERERFgypQp9OjRg6ysLLKysli0aBHr\n169PdlhSRXqkTURERETqvOXLl3PppZfy73//m6OOOgqAHj16qIOCFKCER0RERETqvC1btpCWlkZ2\ndjYlJSU88cQTfP7558kOS6qBHmkTERERkTqvc+fOXHPNNRx55JG0bt2aRYsWcfTRR0ecVr/Ds3fR\nHR4RERERSYrW7XIS7jo60fITcfvtt3P77bdHHDdw4MCy1zt37qxSXFK7lPCIiIiISFKsWbk82SFI\nHaBH2kREREREJGUp4RERERERkZSlhEdERERERFKWEh4REREREUlZSnhERERERCRlKeEREREREZGU\npYRHRERERERSlhIeEREREZFqctFFF3HLLbckOwwJoYRHRERERERSlhIeEREREUmK3Nz2mFmN/eXm\ntk/2KsoeoF6yAxARERGRumnFigJmvLe2xso/66jWcU97wAEHMHToUJ588kmWLVtGv379GDt2LIMG\nDeKdd97hyCOP5LnnnqNZs2ace+65vP322/z0009069aNiRMn0qVLl4jlvvbaa9x88818++235Ofn\nM2nSJA455JDqWkWJg+7wiIiIiIgAM2bM4M0332Tx4sW88sornHLKKYwbN47169ezc+dO7r//fgBO\nOeUUli5dyrp16+jZsyfnn39+xPIWLlzIJZdcwuTJk9m4cSOXXXYZp59+Oj///HNtrladp4RHRERE\nRAS44ooryM7Opk2bNvTu3ZsjjjiCrl27Ur9+fc4880wWLlwIwKBBg2jcuDH77LMPt9xyC5988gnF\nxcW7lTd58mQuv/xyDjvsMMyMAQMG0KBBA95///3aXrU6TQmPiIiIiAjQqlWrsteNGjXa7f3mzZsp\nKSnhhhtuoEOHDjRv3pwDDjgAM2P9+vW7lVdQUMDf/vY3WrRoQYsWLcjKymLlypWsXr26VtZHPH2H\nR0REREQkTlOnTuWVV15hzpw55ObmUlhYSFZWFs653abNycnhpptuYsSIEUmIVErpDo+IiIiISJw2\nb95Mw4YNycrKYsuWLYwYMQIzizjt4MGDeeihh1iwYAEAW7Zs4fXXX2fLli21GXKdp4RHREREROq8\n8KQlWhJz4YUXkpubS7t27Tj44IPp1atX1DIPPfRQJk+ezJ///GdatGhBx44deeKJJ6o1bqmYHmkT\nERERkaTIyclLqOvoypQfr2XLlpV7P2XKlHLvL7nkEi655BIAXnrppXLjLrjggrLXjz32WLlxJ5xw\nAieccELccUj1U8IjIiIiIkmxfPm3yQ5B6gA90iYiIiIiIilLCY+IiIiIiKQsJTwiIiIiIpKylPCI\niIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTwiIiIiEidt3jxYnr06EGzZs2YMGFC\nrS03LS1ttx89leqlHx4VERERkTrvrrvu4je/+Q0LFy6s1eWaWa0ury7SHR4RERERSYr2+7fBzGrs\nr/3+beKOpaCggPz8/Bpc28icc7W+zLpGd3hEREREJCkKVq3FjcqssfLt1rVxTXfccccxb9483nnn\nHYYPH85HH33Eww8/zHPPPcf27ds588wzuffee2nQoAHz5s3jggsu4Morr+Tuu++mXr16TJw4kfr1\n6zN8+HA2bNjANddcw4gRIwD48MMPGTZsGF9++SWNGzfmrLPO4t5776Vevd1Pw7dv386NN94YcblS\nebrDIyIiIiJ12ptvvknv3r2ZOHEiRUVFTJw4kSVLlvDpp5+yZMkSVq1axW233VY2/dq1a9m+fTur\nV6/m1ltvZfDgwTz99NMsXLiQt956i9tvv52CggIA0tPTGT9+PBs3buS9995jzpw5TJw4MWIc119/\nfczlSuUo4RERERERYdfjZZMnT+bee++lWbNmNGnShBtuuIFp06aVTVe/fn1uvPFG0tPT6devH+vX\nr2f48OE0btyYLl260KVLFz755BMAevbsyeGHH46ZkZuby6WXXsq8efMiLr+i5Url6JG2GmZmc4Ej\ngJ8BA1Y65zoH444DJgA5wAfARc655UkKVURERKTO+/777/nxxx859NBDy4aVlJSU+67NvvvuW9bZ\nQKNGjQDYb7/9ysY3atSIzZs3A/D1119z9dVX85///IetW7eyY8eOcmUnslypHN3hqXkOGOKcy3TO\nZYQkO/sCLwA3AS2Aj4BnkhemiIiIiGRnZ9O4cWMWLVrExo0b2bhxI5s2baKwsLBS5f3pT3+ic+fO\nLF26lE2bNjF27NiISUx1L1d2UcJTOyL1N3gW8LlzboZzbjswGuhmZh1rNTIRERERKWNmDB48mOHD\nh/P9998DsGrVKmbNmlWp8oqLi8nMzKRx48b897//ZdKkSbWyXNlFCU/tuMPM1pnZ22bWJxiWD3xS\nOoFz7kdgSTBcRERERGpR6O/hjBs3jg4dOnDkkUfSvHlzTjjhBBYvXhzXvOHv7777bp5++mkyMzO5\n7LLL6NevX9Rp77zzzoSWK/HRd3hq3nXAF8B2oD/wipl1B5oC68KmLQIyajc8ERERkeTIa9c67q6j\nK1t+vObMmVP2ukGDBowdO5axY8fuNl2fPn1YvnzXV67T09PZuXNnuWneeuutste9e/fmyy+/LDd+\n9OjRZa9D561fv37U5UrlKeGpYc65D0PeTjGzfsCpwGYgvOP5ZkBxtLJCd46+ffvSt2/faotTRERE\npLZ9u3JNskOQOkAJT/IsAgaWvjGzJsBBwfCIQhMeERERERGpmL7DU4PMrJmZnWBmDcws3czOB3oD\n/wBeBPLN7EwzawCMAj52zulBTRERERGRaqI7PDVrH2AM8EtgJ/Bf4Azn3FIAMzsbeBB4Cv87PP2i\nlCMiIiIiIpWghKcGOefWA4fHGD8H6Fx7EYmIiIiI1C16pE1ERERERFKWEh4REREREUlZSnhERERE\nRCRlKeEREREREZGUpYRHRERERKQaDRgwgDZt2tC8eXM6derEo48+WjauoKCAtLQ0MjMzycjIIDMz\nk7FjxyYx2tSnXtpEREREJCna5+5PwYpVNVZ+Xk47vl2+ssrlrFu3jv322y/u6UeMGMHkyZNp2LAh\nixcvpk+fPvTs2ZMePXoAYGYUFhZiZlWOTSqmhEdEREREkqJgxSrc7BtqrHz77bhKz1tYWMi0adN4\n7LHHyM7OZubMmXHP26VLl7LXzjnMjKVLl5YlPM45SkpKSE9Pr3R8Ej890iYiIiIigk9EZs+ezXnn\nnUdeXh6zZ89m5MiRvPLKKwCcdtppZGVl0aJFi93+n3766eXKGjp0KE2aNKFz5860bduWU045pWyc\nmdG+fXtyc3O5+OKL2bBhQ62uZ12jOzwiIiIiUuc9+OCD3HXXXbRs2ZJBgwbx4IMPkpWVVW6aV199\nNaHyJkyYwHvvvcfcuXNp0KABANnZ2Xz44Yd0796dDRs2MGTIEM4//3z++c9/Vuv6yC66wyMiIiIi\ndd4333zDpk2b6N69O127dt0t2akMM6NXr16sWLGCSZMmAdCkSRN69uxJWloaLVu2ZMKECcyaNYst\nW7ZUeXkSmRIeEREREanz7r77bpYuXUp+fj5XXHEFBx54ILfccgtLliwpm+aUU04p61kt/O/UU0+N\nWvaOHTtYunRp1PFmRklJSbWuj+yihEdEREREBP+42VVXXcUnn3zCCy+8wKZNm+jVqxd//OMfAXj9\n9dcpLi6mqKhot7/STg2+//57nnnmGbZs2UJJSQlvvPEG06dP5/jjjwdgwYIFLF68GOccGzZsYNiw\nYRx77LFkZGQkbb1TnRIeEREREZEwPXr04P7772f16tVcfvnlcc9nZkyaNImcnBxatGjBddddx333\n3Vd2B2jZsmWcdNJJZGZm0rVrVxo2bMjUqVNrajUEdVogIiIiIkmSl9OuSl1Hx1N+VdWrV4/DDjss\n7umzs7OZO3du1PH9+vWjX79+VY5L4qeER0RERESSojp+FFSkInqkTUREREREUpYSHhERERERSVlK\neEREREREJGUp4RERERERkZSlhEdERERERFKWEh4REREREUlZSnhERERERCRlKeEREREREZGUpYRH\nRERERAQYMGAAbdq0oXnz5nTq1IlHH320bNzWrVsZMmQILVu2JCsri759+0Ytp6CggLS0NDIzM8nI\nyCAzM5OxY8eWm+b6668nOzubli1bcsMNN9TUKglQL9kBiIiIiEjd1DanLWtWrqmx8tvs34bVK1bH\nPf2IESOYPHkyDRs2ZPHixfTp04eePXvSo0cPBg8eTElJCV999RVZWVl8/PHHMcsyMwoLCzGz3cY9\n/PDDvPLKK3z22WcAHH/88Rx44IFceumlia2gxEUJj4iIiIgkxZqVazj48YNrrPzPB32e0PRdunQp\ne+2cw8xYunQpjRs35rXXXmPlypU0bdoUgB49esQsyzlHSUkJ6enpu42bMmUK11xzDW3atAHg2muv\nZfLkyUp4aogeaRMRERERCQwdOpQmTZrQuXNn2rZtyymnnMKCBQvIzc3llltuoWXLlnTr1o0ZM2bE\nLMfMaN++Pbm5uVx88cVs2LChbNyiRYvo1q1b2ftu3bqxaNGiGlunuk4Jj4iIiIhI4MEHH2Tz5s28\n8847nHXWWdSvX5+VK1fy+eefk5WVxZo1a3jggQcYOHAgX331VcQysrOz+fDDDykoKOCjjz6iuLiY\n888/v2z85s2badasWdn7zMxMNm/eXOPrVlcp4RERERERCWFm9OrVixUrVjBp0iQaNWpE/fr1GTly\nJPXq1eOYY47h2GOPZdasWaxYsYKMjIyyzgkAmjRpQs+ePUlLS6Nly5ZMmDCBWbNmsWXLFgCaNm1K\nUVFR2fIKCwvLHpWT6qeER0REREQkgh07drBs2TK6du0K+O/llCrtjCAnJ4fi4mKKi4vLJTHhzIyS\nkhIA8vPz+eSTT8rGffzxx+Tn59fEKghKeERERERE+P7773nmmWfYsmULJSUlvPHGG0yfPp3jjz+e\nY445htzcXO644w527tzJ/PnzmTt3LieeeGLEshYsWMDixYtxzrFhwwaGDRvGscceS0ZGBgAXXngh\n99xzD6tXr2bVqlXcc889XHTRRbW5unWKEh4RERERqfPMjEmTJpGTk0OLFi247rrruO+++zj11FOp\nV68eL7/8MjNnzqR58+ZcdtllPPnkk3Ts2DFiWcuWLeOkk04iMzOTrl270rBhQ6ZOnVo2/rLLLuO0\n007jkEMOoVu3bpx++ukMHjy4tla1zlG31CIiIiKSFG32b5Nw19GJlh+v7Oxs5s6dG3V8586deffd\nd+Mqq1+/fvTr1y/mNOPGjWPcuHFxxyeVp4RHRERERJIikR8FFaksPdImIiIiIiIpSwmPiIiIiIik\nLCU8IiIiIiKSspTwiIiIiIhIylLCIyIiIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpS\nwlNLzOwXZrbVzKaEDDvOzL40s81m9qaZ5SYzRhERERGJrm/fvjRq1IjMzEwyMjLo3LlzufFvvvkm\nnTt3pmnTphx33HEsX748SZFKKCU8cTCzTDO7w8xeM7P7zaxtJYqZACwIKTMbeAG4CWgBfAQ8Uy0B\ni4iIiOwFcvJyMLMa+8vJy4k7lnXr1lU4jZkxceJEioqKKC4u5ssvvywbt2HDBs4++2zGjh3Lxo0b\nOfTQQ/mf//mfSm0XqV71kh3AXuJB4L/A/cCxwPNAr3hnNrN+wA/AF0CHYPCZwOfOuRnBNKOB9WbW\n0Tm3uPpCFxEREdkzrVy+koe+uavGyr/8gOvinnbQoEFs3LiRiy66iH79+tGsWbOI0znnIg6fMWMG\nBx98MGeddRYAo0ePJjs7m8WLF9OxY8fEg5dqozs8EZjZeDNrGjIoFxjnnJsFjAE6JVBWJnArcDVg\nIaPygU9K3zjnfgSWBMNFREREpBa9+uqr3Hjjjbzxxhu0b9+eCy64gH/961+7JTgjRoxgv/32o3fv\n3sybN69s+KJFi+jWrVvZ+8aNG9OhQwcWLVpUa+sgkSnhiWwBMM/MSu9DvgAsNLOngP8DnkigrNuA\nyc651WHDmwKFYcOKgIxKxCsiIiIiVZCens7pp5/OjBkzWLp0KUceeSTXX3897du3Z+LEiQDcdddd\nLFu2jFWrVjF48GBOO+00vvnmGwA2b968212hzMxMiouLa31dpDw90haBc26qmc0ExpjZxcCVwL+A\ng4H7nHMfxlOOmXUHjge6Rxi9GcgMG9YMiLpXjB49uux137596du3bzxhiIiIiEgCWrRowSGHHEL3\n7t15/vnny5KaX/3qV2XTXHjhhUybNo3XX3+doUOH0rRpU4qKisqVU1hYSEaGrmUnmxKeKJxzhcAV\nZnYo8P+AecBtzrmfEiimD5AHLDczw9/VSTOzLsBDwKDSCc2sCXAQEPW+Z2jCIyIiIiLVa8mSJUyZ\nMoUnn3yS5s2bM2jQIO666y723XffiNObWdkjb/n5+TzxxK6HgLZs2cLSpUvJz9e3FZJNj7RFYGZt\ng97YXgPOBc4AVgHvmdnpCRT1MD6J6Q50wyc5M4ETgJeAfDM708waAKOAj9VhgYiIiEjtu+SSS+jV\nqxeFhYW8+OKLLFy4kGHDhpUlO4WFhcyaNYtt27axc+dOnn76ad5++21OOukkAM4880wWLVrEiy++\nyLZt27j11lvp3r27OizYA+gOT2TPAfOBB4DjgPudc+eZ2fPA38xssHPutIoKCe4Gld0RMrPNwE/O\nuY3B+7PxPcA9BXwA9Kv2NRERERGRCv3pT3/i4Ycfpl69yKfHP//8MyNHjuSrr74iPT2dTp068fLL\nL9Ohg++ANzs7mxdeeIGhQ4dywQUXcMQRRzB9+vTaXAWJQglPZJ2Bvs65n81sHvA+gHPuO+ACMzu2\nMoU6524Nez8nWJaIiIhInbN/7v4JdR1dmfLjddhhh8Ucn52dzYIFC2JO85vf/Kbcb/PInkEJT2RT\ngH+Z2TtAb+Dx0JHOuX8nIygRERGRVLKiYEWyQ5A6QAlPBM654Wb2K+AAYKpzTh2oi4iIiIjshZTw\nRBF0PR1X99MiIiIiIrJnUi9tIiIiIiKSspTwiIiIiIhIylLCIyIiIiIiKUsJj4iIiIiIpCwlPCIi\nIiIikrKU8IiIiIiI7IVOPPFEpk2bluww9nhKeERERESkTps6dSoZGRlkZmaW/WVkZJCWlsaYMWNq\nfPnvvPNO2fKbNm1KWlpaWQyZmZmsXLky4nxvvPEG/fv3r/H49nZKeEREREQkKfLatMXMauwvr03b\nuOI477zzKC4upqioqOxv/PjxtG7dmsGDBye0Tjt37kx4Oxx99NFly1+0aBFmRmFhYdmw/fffv9z0\nzjmccwkvp65SwiMiIiIiSbF87Rq++GWnGvtbvnZNpeJauHAhw4cP55lnnqFVq1YUFRXxxz/+kbZt\n25KTk8PNN99clnA88cQTHH300Vx99dVkZ2dz66234pxjzJgxtG/fntatWzNo0CCKi4sTiiE8oend\nuze33HILvXr1omnTpqxYsYLevXszZcoUAB599FH69OnD0KFDad68Ofn5+cydO7ds/kcffZQDDjiA\nzMxMOnTowLPPPlupbbM3UsIjIiIiIhIoLCzknHPOYdSoUfTu3RuAgQMHUr9+fZYtW8bChQuZPXs2\njzzySNk8H3zwAR06dGDdunXcdNNNPPbYY0yZMoV58+axbNkyiouLGTp0aJVje+qpp3j88ccpKiqi\nXbt2u41/99136dKlCxs2bGDkyJGcddZZFBUVUVxczDXXXMObb75JUVER8+fPp2vXrlWOZ2+hhEdE\nREREJDBgwAC6du3KtddeC8C6dev4xz/+wb333kvDhg3Jzs5m+PDh5ToLaNeuHUOGDCEtLY0GDRow\ndepUrr76avLy8mjcuDF33HEH06dPp6SkpEqxXXzxxXTs2JH09HTS09N3G9+2bVuGDh1Keno6/fv3\n54ADDuAf//gHAGlpaXz22Wds27aNVq1a0alTpyrFsjdRwiMiIiIiAowbN44vv/ySxx9/vGxYQUEB\nP//8M23atKFFixZkZWVx+eWXs379+rJpcnJyypWzevVq8vLyyt7n5eWxY8cOvvvuuyrFF76ccOHf\n9cnLy2P16tVkZGQwbdo0JkyYQOvWrTn99NP5+uuvqxTL3kQJj4iIiIjUeXPnzuWOO+7ghRdeIDMz\ns2x4Tk4ODRs2ZMOGDWzcuJEffviBTZs28emnn5ZNY2blymrbti0FBQVl7wsKCthnn31o1apVlWIM\nX0648N7cli9fTtu2vuOGE088kdmzZ7N27VoOOuggLrvssirFsjdRwiMiIiIiddqaNWvo378/48eP\n3+27La1bt+aEE07gqquuori4GOccy5Yt46233opaXv/+/bn33nv59ttv2bx5MzfddBP9+vUjLS2+\nU+/K9sC2Zs0aJk6cyM6dO5k+fTrLli3jpJNOYu3atbz22mts3bqVevXq0aRJk4iPxKUqJTwiIiIi\nUqc98sgjrFu3jmHDhpX7HZ7MzEyGDBnClClT2L59O126dKFFixacc845rF27Nmp5F198MQMGDOCY\nY47hoIMOonHjxtx///1xxxPpTk48w3r16sWiRYto0aIFt912GzNmzKBZs2bs3LmTv/71r7Rt25aW\nLVvy3nvv8eCDD8Ydz96uXrIDEBEREZG6Kbd1G7p89d8aLT8eN998MzfffHPMaSZOnMjEiRN3Gz5w\n4EAGDhxYbpiZMXLkSEaOHBl/sIG8vLyIv+UT6Y5S+LC0tDQefPDB3ZKZdu3aMW/evIRjSRVKeERE\nREQkKQrWrE52CFIH6JE2EREREZFaMHXq1LJH5UIfnTvkkEOSHVpKU8IjIiIiIlILzjvvPIqLiykq\nKir7Ky4u5rPPPqty2Zdccglz5syphihTjxIeEdnr5LRrh5kl9JcT4RepRUREJPXpOzwistdZuXo1\nd597akLzXPvszBqKRkRERPZkusMjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTwiIiIiIjsBcaM\nGcOQIUOqpayjjjqKRYsWVUtZ4X71q1+xePHiGim7MpTwiIiIiEid1759exo3blz22ziZmZmsXbu2\nxpYX+ns86enpNG7cuGzYtGnTIs4zcuRIJk6cWOVlv/TSS7Rs2ZL8/HwAPv30U0488USys7OpX79+\nhfM/+uij1KtXr9y2mj9/ftn4a665hltuuaXKcVYXJTwiIiIikhTtc3IS/pmBRP7a5+TEHYuZMXPm\nzLLfxikqKqJ169Y1tu6hv8eTl5fHzJkzy4b1799/t+l37txZbct+6KGHGDBgQNn7+vXr079/fx55\n5JG4yzjmmGPKbatf//rXZePOOOMMZs2axfr166st5qpQt9QiIiIikhQFK1fiHqr6HYto7PLEHv9y\nzu027P333+eaa67hiy++oH379owfP54+ffowd+5crrzySj799FMAfvvb31JYWMiCBQsAnxBce+21\nnH766XEtN3zZN998M19//TVpaWnMnDmTBx54gK+//pqVK1fy2GOPsXTpUn7xi1/w97//nVGjRmFm\nXJ5Hd6AAACAASURBVHvttQwfPhyADz74gCFDhrBkyRIaN27MhRdeyJ133sm2bduYO3cuU6ZMKVtW\np06d6NSpE1999VVC2yuaRo0a0b17d2bPnh0xeattusMjIiIiIhLB6tX/n707j9O6qvs//vrMsOuM\nQAKCDIhoQqBgSWkGoph6UxSKmSKChOGWy31r9HNJLVIzF8rc7ro1QMQUyzVxSRNyA7UgRFBcWTWU\nxVEclOH8/riuuRqGQQaYYeDi9Xw8eDjX93u+53suegS+Ped8zmK+/e1vc8kll7B8+XKuueYaBg0a\nxAcffMCBBx7I66+/zrJly1izZg2zZs1iyZIlfPzxx5SVlfHSSy/Ru3fvLXr/fffdx5AhQ1i5ciXH\nHXcckJmJquzvf/87b775Jg8//DC/+MUvmDp1KgBnnXUWo0aNYuXKlbz++usce+yxALz66qs0bdqU\n1q1bb9HYXnjhBVq3bk3Xrl254oor1gtsXbt2ZebMmVv0jtriDI8kSZIEDBw4kAYNMv963LdvXw48\n8EC+9a1vceSRRwLQr18/DjjgAB5++GFOOukkevXqxdSpU2nbti09evSgRYsWPPPMMzRq1Ii9996b\nFi1abNF4vvGNb9C/f38AmjRpst79iOCyyy6jcePG7LfffgwbNow777yTPn360KhRI+bNm8eyZcto\n2bIlvXr1AmDFihUUFRVt0bgOO+wwZs+eTYcOHXj55Zf53ve+R+PGjTnvvPNybYqKilixYsUWvae2\nOMMjSZIkAffffz/Lli1j2bJl/PnPf+add97h7rvvpmXLlrRs2TIXaJYsWQJklq397W9/Y+rUqfTt\n25e+ffvy1FNPMWXKFA455JAtHk9JDfYgtW/fPvdzx44dWbx4MQB/+MMfmD17Nvvssw8HHnggkydP\nBqBFixaUlpbWeAzjx4/PFSb47ne/C0CnTp3o0KEDAN27d+fiiy/mnnvuWee50tJSmjdvXuP31CUD\njyRJksT6e3hKSkoYOnRoLgQtX76c0tJSRo0aBZDby/P3v/+dQw45hD59+jBlyhSmTp1aK4Gn6vK1\n6ixYsCD38/z582nXrh0Ae++9N3feeSdLly7lf/7nfxg0aBCffvop++yzD6tXr2bp0qU1GsPQoUNz\nhQnuv//+Dbar+ns3Z84cevToUaN31DUDjyRJklSNIUOG8OCDD/LYY4+xdu1aysrKmDJlSm4W5etf\n/zqvvvoq06dP56tf/Spf+tKXeOedd5g2bRp9+vSp8/GllBg9ejRlZWXMmjWLcePGcfzxxwMwYcIE\nPvjgAwCKi4spKCigoKCARo0acdhhhzFlypR1+lq9ejWrV68mpcTq1av57LPPNvjeRx55JBeYXnnl\nFa644goGDhyYu19WVsaMGTM4/PDDa/srbxYDjyRJknZ41c2mtG/fnvvvv58rrriCVq1a0bFjR665\n5hrWrl0LQLNmzfjKV75C9+7dc3t/DjroIPbYYw923XXXLXp3TX3jG99gzz335KijjuKiiy7KzSw9\n/PDDdO3alV122YVRo0Zx991358Y4cuTIdaq0vfHGGzRt2pT999+ftWvX0rRp09wZPdV57LHH6N69\nO0VFRXz3u9/lhBNOyM16Adx7770cccQRtGrVarO/V22yaIEkSZLqRcf27Te5dPSm9l9Tb775ZrXX\ne/XqxVNPPbXB5yofuAkwadKkGr/z8949evTojV6LCEaMGMGIESPWaztx4sQNvu873/kOV111FbNn\nz6Zbt2507tw5F+Jq4rrrruO6667b4P0xY8Zw++2317i/umbgkSRJUr14u9L+E2266s4NqqmqQa02\nVZxFtK1wSZskSZJUBxYsWJCrcFbxq+LzwoULt7j/LVkKtyNxhkeSJEmqAyUlJZtUAnpTdO7cmfLy\n8jrpO984wyNJkiQpbxl46lhE3B4RSyJiRUTMjYgRle71i4g5EfFRRDwRER3qc6ySJElSvjHw1L0r\ngU4ppebAd4BfRMT+EfEF4E/ARUBL4CXgrvobpiRJkpR/DDx1LKX0SkqpLPsxgAR0Bo4BXk4p/Tml\n9ClwGdAjIr5YPyPV9qakYwkRUeNfJR1L6nvIkiRJW51FC7aCiLgROBloCvwDeBi4AphZ0SaltCoi\nXge6Aa/VwzC1nVk4fyG3vPWrGrc/rdOojTeSJEnKM87wbAUppTOBnYFvAH8GPs1+Xlml6YdA0dYd\nnSRJkmri9NNP5/LLL9/g/YKCgg0eYLq5pkyZwr777lsrfY0aNYqbbrqpVvraFGVlZXTp0oXly5dv\n9XeDgWerSRnPAiXA6cBHQHGVZrsAdVO7UJIkSRu0xx570KRJE5YtW7bO9f3335+CggLmz5/PzTff\nzEUXXbTBPjZ2Lk7//v1z5/A0atSIxo0b587nOeOMM6p95pBDDmHWrFmb/oWqeO+99/jjH//IKaec\nkru2atUqTjvtNHbddVdatGhBv379Nvh8WVkZxx57LHvssQcFBQU8++yz69z/6U9/SqNGjao9a6hJ\nkyacfPLJXHXVVVv8PTaHS9q2vgbAnsDLZJa5ARARO5HZ2zN7Qw9edtlluZ/79u1L375962iIkiRJ\nda9k9w4sXLygzvpv366EBYvm16htRNCpUyfuvPNOzjzzTABefvllPvnkkxof8JlS+tz7Dz/8cO7n\n4cOHU1JSws9//vMNti8vL6ewsLBG796YP/zhDwwYMIBGjRrlrv3gBz+gUaNGzJs3j+bNmzNjxowN\nPh8RHHLIIZx33nkcffTR1bYZMmQIt912W7X3Bg8eTK9evbj88str7TvVlIGnDkVEK+Aw4CHgE+Cb\nwPHZX9OAqyPiaDJ7ei4FZqSUNrh/p3LgkSRJ2t4tXLyAG059os76/9H/bnjGojonnXQS48aNywWe\ncePGMWzYMC6++GJg/ZBy9dVXM2bMGAoKChg9enSNg9GGPPHEE5xyyimMHDmS66+/nv79+zN48GBO\nOeUU3nrrLSBzmOlZZ53F2LFjee+99zjmmGO46aabaNiwIUuXLuXkk0/m2WefpaCggH333ZennnoK\ngMmTJ+e+F8Arr7zCo48+yqJFi2jWrBmQmc3akMaNG3PWWWcBG5/Jqk6HDh3YeeedmT59OgcddNAm\nP78lXNJWtxKZ5WsLgGXAr4BzUkp/SSm9DwwiU7xgGXAAmSAkSZKkenDggQdSWlrKq6++ytq1a7nr\nrrsYMmRItW0feeQRrrvuOp544gnmzZvHX//611oZw8KFC1m1ahULFizI7bepGjAmTpyYe+/LL7/M\nlVdeCWQCWOfOnfnggw947733+MUvfpF7ZtasWeyzzz65z9OmTaNTp05ceOGFtGrVip49e3L//fdv\n0djvvfdedt11V/bbbz9+97vfrXe/S5cuzJw5s5on65aBpw6llN5PKfVNKbVMKTVPKfVIKd1W6f6T\nKaWuKaWdUkqHpZRqNucqSZKkOlExy/P444/TtWtX2rVrV+1StUmTJjF8+HC6du1K06ZNa20lTsOG\nDbn00ktp0KABjRs3rrbNOeecQ9u2bWnZsiUXXnghd955Z+7ZxYsX8/bbb9OgQQO+8Y1v5J5ZuXIl\nRUX/qY21cOFCZsyYQevWrVmyZAljxoxhyJAhvP7665s17sGDBzN37lyWLl3KzTffzCWXXMKf/vSn\nddoUFRWxYsWKzep/Sxh4JEmSpKwhQ4YwceJExo4dy9ChQ4Hql3AtXryYkpL/nHHXsWPHje7hqYk2\nbdrQoMHn7zpp3779Ou9dvHgxAP/v//0/OnToQL9+/dh777255pprcu2aN29Oael/amM1bdqUpk2b\ncsEFF9CgQQMOPfRQevfuzeOPP85bb71FUVERRUVFtGzZskbj7tq1K23atCEiOPjggznrrLO45557\n1mlTWlpK8+bNa9RfbTLwSJIkSVkdOnSgU6dOTJ48mWOOOWaD7dq2bcuCBf8puPDOO+9s8R4eqNn+\nmKrvbdeuHZCZQbnuuut46623uO+++7jqqqv4+9//DsB+++3Ha6/9Z6v4fvvtt977Kn7u1KkTpaWl\nlJaWrle1blO+R9UAOGfOHHr06LFZ/W0JA48kSZJUyW233caTTz5J06ZNgeqrrx133HGMHTuWOXPm\nsGrVqs+ttlbbbrjhBhYvXswHH3zAL3/5S44/PrMN/KGHHsqdA1RUVESDBg0oKMj8637//v1zBQwA\nDj30UHbbbTeuuuoqysvLmTp1Kk8//TRHHHHEBt/76aefUlZWBsDq1atZvXp17t7999/PypWZIyan\nTZvGb3/7WwYOHJi7v2DBAj7++GN69epVO78Jm8DAI6lWlezegYio8a+mTZptUvva+K9nkiRVVfnv\nl06dOvHlL3+52nsVjjrqKM4991wOO+wwvvjFL37uGTYbe9+mOuGEEzj88MPZe++96dq1KxdccAEA\nr776KocddhhFRUX07t2bc889l4MPPhiAYcOG8dBDD/HZZ58Bmf0+DzzwAPfddx/NmzfnzDPPZOLE\niXTu3HmD7+3cuTM77bQT//73vzn88MNp1qxZbjndxIkT2XPPPSkuLmb48OFceumluSAGMGHCBIYP\nH77R5Xp1wbLUkmrVppYY/dH/9uOZ+zZ4/FS1Dh7YbVOHJUnaBrVvV7LJpaM3tf+aqpgZqaqwsJDy\n8nIgc5ZNZaNGjWLUqFG5zyeffHKN31fdeTX9+vVbbxzVXfva177Gj3/84/WeP++88zjvvPOqfV/r\n1q054YQT+P3vf5875LRbt24899xzNR5z5aV0Vd11110bvFdWVsb48eN55plnavyu2mTgkSRJUr2o\n6aGgqh2//OUv6+W9TZo0Yc6cOfXybnBJmyRJklSrunfvTnFxce5XUVERxcXFufLRW8Kl3ZvOGR5p\nG9CupB1LFi6p72FIkqRa8PLLL9dZ3/PnOyu2qQw80jZgycIldB/bfZOeefnkuvvDVJIkKV+4pE2S\nJElS3jLwSJIkScpbBh5pI/Zo33aTzojZo33b+h6yJEmSstzDI23EO4veJV1aXOP28bN363A0kiRJ\n2hTO8EiSJEkb0b17d6ZOnVqjtp06deLJJ5+s4xFBly5dauUwz1mzZnHggQfWwohqV1lZGV26dGH5\n8uVb1I+BR9uttu07bNJSs4igbfsO9T1sSZK0DaoupIwbN47evXsDmVLTffr0qZN3T5w4MXdWT7Nm\nzSgsLFzn/J4NmTt3LgcffPAWv/+nP/0pP/nJT3Kfr7/+eg444AAaN27MyJEj12u/atUqTjvtNHbd\ndVdatGhBv379Ntj3G2+8QUFBwTrfp/IBqCklzj//fL7whS/QqlUrLrzwwty9Jk2acPLJJ3PVVVdt\n0fdzSZu2W+8uWkDHnzy0Sc8sHjPIA7skSdpGdOjQkQUL6u5cmZKSDsyf/84W9bE1/r1h8ODBDB48\nGIApU6Zw0kknfe55O+Xl5RQWFtbKuxctWsQzzzzDpEmTctfat2/PpZdeyl/+8hfWrl273jM/+MEP\naNSoEfPmzaN58+bMmDHjc98REXz44YfV3rvpppt45JFHeOWVVygvL+ewww5jr7324gc/+AGQ+b3p\n1asXl19++WZ/ZwOPdiiffbqaPz+3aXtsjjlotzoajSRJO7YFC+bzzH2z66z/gwd2q7W+OnXqxK23\n3sphhx1GWVkZp556Kg8++CBt27bl5JNP5vrrr2fBggW59v/85z/57//+b+bPn89RRx3FuHHjaNSo\n0Wa/v6SkhHPOOYfx48czb948PvnkE0pKSrjjjjvo06cPP/3pT5k3bx5r167lkUceoUuXLtx22210\n75455++KK67gxhtv5KOPPmL33XfnlltuoU+fPjz22GP06tWLhg0b5t51zDHHAPDss8/ywQcfrDOO\nV155hUcffZRFixbRrFkzAPbff//N/l7jx4/n/PPPp02bNgCcd955jB07Nhd4OnTowM4778z06dM5\n6KCDNusdLmmTJEmSqpFSqvb6ZZddxvz583n77bd5/PHHmTBhwnozQZMmTeKxxx7jrbfeYubMmYwd\nO3aLx3PXXXfx6KOPsmLFimrv33vvvQwZMoTly5czaNAgjj76aNauXcsrr7zC7373O2bMmMHKlSuZ\nPHkyHTpklvnPmjWLffbZp8ZjmDZtGp06deLCCy+kVatW9OzZk/vvv3+jz3Xo0IGOHTsyYsQIli1b\nlrs+e/ZsevTokfvco0cPZs9eNwR36dKFmTNn1niMVRl4JG3QHiUlm7xPSpKk7dXAgQNp2bJl7teZ\nZ55ZbbtJkyZx0UUXUVxcTLt27Tj77LPXa3POOefQpk0bmjdvzoABAza67Ksmzj33XNq2bUvjxo2r\nvf+1r32N73znOxQWFvLjH/+YDz/8kBdeeIEGDRqwevVqZs2aRXl5OR07dmSPPfYAYMWKFRQVFdV4\nDAsXLmTGjBm0bt2aJUuWMGbMGIYMGcLrr79ebfvWrVvz4osv8s477zB9+nSWL1/O0KFDc/dXrVrF\nLrvskvtcXFxMaWnpOn0UFRVtMOTVhEvaJG3QOwsXkm65aZOeidPOqKPRSJJUt+6//34OPfTQ3Odx\n48Zx6623rtdu8eLFtG/fPve5pKRkvTYVS7QAmjVrxpIlS7Z4fJXfWZ3K4ygoKGD33Xdn8eLFfO1r\nX+Paa6/lkksuYe7cuRx55JGMGTOG1q1b06JFi/UCxudp2rQpTZs25YILLiAiOPTQQ+nduzePP/44\nhYWF7LfffgA0bNiQZcuWUVRUlFvy1qZNG37729/SoUMHysrKaNKkCc2aNVtnf8/KlSvXC2ClpaU0\nb968xmOsyhkeSZIkiQ0vYauqbdu2LFy4MPf58woM1KaNraSovIcopcSiRYto164dkNn8//TTT/PW\nW2+xZs0aLrjgAgD2228/XnvttRqPoSLQVB5Lxc+dOnWitLSU0tLSdZatVfc9Kn6vu3Xrts5ytRkz\nZtCt27p7r+bMmbPOsrdNZeCRJEmSNsFxxx3HlVdeyYoVK1i0aBE33nhjfQ8JgOnTp/Pggw+yZs0a\nrr76aoqLi+nVqxdz587lqaee4tNPP6Vx48Y0bdqUgoJMDDjiiCN44YUXWLNmTa6f8vJyysrKKC8v\nZ82aNaxevTpXre3QQw9lt91246qrrqK8vJypU6fy9NNPc8QRR1Q7pmnTpjFv3jxSSixdupRzzz2X\nww8/nKZNmwIwdOhQrr32WpYsWcLChQsZM2YMw4cPzz2/YMECPv74Y3r16rXZvy8GHkmSJO3wNjZ7\nUvn+JZdcwu67706nTp044ogj+N73vrfOvpq62NNaXZ9Vrx1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JkqS85JK2+vMRUFzl2i5A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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6def670>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Reduce carbon footprint, concerned about environment\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Reduce carbon footprint, concerned about environment</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>26.6</td>\n",
       "      <td>73.4</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>26.3</td>\n",
       "      <td>73.7</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>27.1</td>\n",
       "      <td>72.9</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>24.8</td>\n",
       "      <td>75.2</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>27.9</td>\n",
       "      <td>72.1</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>30.7</td>\n",
       "      <td>69.3</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>22.6</td>\n",
       "      <td>77.4</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>25.7</td>\n",
       "      <td>74.3</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>28.7</td>\n",
       "      <td>71.3</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>28.7</td>\n",
       "      <td>71.3</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>34.9</td>\n",
       "      <td>65.1</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Reduce carbon footprint, concerned about environment        \\\n",
       "all                                                             26.6     73.4   \n",
       "male                                                            26.3     73.7   \n",
       "female                                                          27.1     72.9   \n",
       "<=35                                                            24.8     75.2   \n",
       "36-50                                                           27.9     72.1   \n",
       ">50                                                             30.7     69.3   \n",
       "Zero_Trips                                                      22.6     77.4   \n",
       "Few_Trips(1-5)                                                  25.7     74.3   \n",
       "Mid_Trips(6-15)                                                 28.7     71.3   \n",
       "High_Trips(16-50)                                               28.7     71.3   \n",
       "Heavy_Trips(>50)                                                34.9     65.1   \n",
       "\n",
       "                      N  \n",
       "all                6789  \n",
       "male               4262  \n",
       "female             2527  \n",
       "<=35               3792  \n",
       "36-50              1896  \n",
       ">50                1101  \n",
       "Zero_Trips         2260  \n",
       "Few_Trips(1-5)     1300  \n",
       "Mid_Trips(6-15)    1346  \n",
       "High_Trips(16-50)  1299  \n",
       "Heavy_Trips(>50)    584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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RfxD+fyHD1+HVvy3PIqCDmXX0mxEcTfk/yB+BZmaWXsH8ojlxRxv7C3gl5qf5pYb1/BKx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\n/EuSpA2IC/pI67+dgZERMRP4HyABpwMfAgMj4hHgLWAH4FvAc9l184D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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e53950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Save money on transportation\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Save money on transportation</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>40.8</td>\n",
       "      <td>59.2</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>43.3</td>\n",
       "      <td>56.7</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>36.6</td>\n",
       "      <td>63.4</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>44.3</td>\n",
       "      <td>55.7</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>38.3</td>\n",
       "      <td>61.7</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>33.2</td>\n",
       "      <td>66.8</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>30.5</td>\n",
       "      <td>69.5</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>34.8</td>\n",
       "      <td>65.2</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>47.6</td>\n",
       "      <td>52.4</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>49.9</td>\n",
       "      <td>50.1</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>58.2</td>\n",
       "      <td>41.8</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Save money on transportation           N\n",
       "all                                        40.8  59.2  6789\n",
       "male                                       43.3  56.7  4262\n",
       "female                                     36.6  63.4  2527\n",
       "<=35                                       44.3  55.7  3792\n",
       "36-50                                      38.3  61.7  1896\n",
       ">50                                        33.2  66.8  1101\n",
       "Zero_Trips                                 30.5  69.5  2260\n",
       "Few_Trips(1-5)                             34.8  65.2  1300\n",
       "Mid_Trips(6-15)                            47.6  52.4  1346\n",
       "High_Trips(16-50)                          49.9  50.1  1299\n",
       "Heavy_Trips(>50)                           58.2  41.8   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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8mdIHq1DKi6tCmVkmXtOB4KS/2Aygr5mdjFcN/n7QsN+Y1/b4JLwq6WKzgU7mtaW/gNJJ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\ndReDBg2iUaNGuXPHHXccjRo1Yvbs2bRo0YKpU6e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y9cuzIeTt7HlJkiRJNaDeBYuIaADc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\neCGl1KzcubOAPVNKP650b/3+y5AkSfVKSinqug9SmQZ13YFa8BbQICK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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7423ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Station located near home, work, or school\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Station located near home, work, or school</th>\n",
       "      <th></th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>54.1</td>\n",
       "      <td>45.9</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>54.8</td>\n",
       "      <td>45.2</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>52.9</td>\n",
       "      <td>47.1</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>53.7</td>\n",
       "      <td>46.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>55.9</td>\n",
       "      <td>44.1</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>52.3</td>\n",
       "      <td>47.7</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>48.1</td>\n",
       "      <td>51.9</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>53.2</td>\n",
       "      <td>46.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>55.3</td>\n",
       "      <td>44.7</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>60.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>63.4</td>\n",
       "      <td>36.6</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Station located near home, work, or school           N\n",
       "all                                                      54.1  45.9  6789\n",
       "male                                                     54.8  45.2  4262\n",
       "female                                                   52.9  47.1  2527\n",
       "<=35                                                     53.7  46.3  3792\n",
       "36-50                                                    55.9  44.1  1896\n",
       ">50                                                      52.3  47.7  1101\n",
       "Zero_Trips                                               48.1  51.9  2260\n",
       "Few_Trips(1-5)                                           53.2  46.8  1300\n",
       "Mid_Trips(6-15)                                          55.3  44.7  1346\n",
       "High_Trips(16-50)                                        60.0  40.0  1299\n",
       "Heavy_Trips(>50)                                         63.4  36.6   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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8FKksN3bs2LLu/Px88vPzExC1iIiIyG7TExRlj6GHFiSQme2Lf2BBU+dccdDv\ndOBm4H5giHOuZ9C/EfAdcJhzbkmEsvQQIhEREdlbKOGRPYZuaUsg59xG4GvgYjNLN7OmwGD8b3dm\nAZ3M7AwzqweMBT6OlOyIiIiIiEjVKOFJvDOBfvirN0uA7cCVzrkNwFnAX4FNwBH4F/iJiIiIiEg1\n0S1tewnd0iYiIiJ7Ed3SJnsMXeEREREREZGUpYRHRERERERSlhIeERERERFJWUp4REREREQkZSnh\nERERERGRlKWER0REREREUpYSHhERERERSVlKeEREREREJGUp4RERERERkZSlhEdERERERFKWEh4R\nEREREUlZSnhE9lI5eTmYWaX+cvJykh22iIiISI0y51yyY5A4mJnTdyWhzIyHvr6jUtNcfMA1qB6J\niEgNsGQHIFJKV3hERERERCRlKeEREREREZGUpYRHRERERERSlhIeERERERFJWUp4REREREQkZSnh\nEdkDtM5pXelHTIuIiIhIxeokOwARgbWr1tL5sc6VmuazIZ8lKBoRERGR1KErPCIiIiIikrKU8IiI\niIiISMpSwiMiIiIiIilLCY+IiIiIiKQsJTwiIiIiIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiI\niIikLCU8IiIiIiKSspTwiIiIiIhIylLCIyIiIiIiKUsJj9QqubltMbNK/eXmtk122CIiIiJSRXWS\nHYBITVq5soCZ762r1DRnHtsyQdGIiIiISKLpCo+IiIiIiKQsJTwiIiIiIpKylPCIiIiIiEjKUsIj\nIlG1zcmp9EMe2ubkJDtsERERkTJ6aIGIRFWwahXuoYmVmsYuHpGgaEREREQqT1d4ZK/Vav/cSl99\nqO3qan2JiIhILaMrPLLXWrd6JXnXvlipaQpu/12Cotk7bHeOzw8+JO7xO375nwRGU3U5bdqwas2a\nSk2zf+vWrFy9OkERiYiIyJ5KCY+IVKs66ftU+upQ/XoN+Gnbj5Wa5q5zTqnU+Fc//VKlxhcREZHU\noIRHRKrVzyU7mHDRG5Wa5k8Pn8D8WYvjHv/Xv+9U2bBERESkltJveBLIzIrNrCj4Kzazn83svpDh\nJ5jZF2a2xczeMLPcZMYrIiIiIpJqlPAkkHMuwzmX6ZzLBFoCPwBPA5jZvsAzwA1AM+Aj4KlkxSoi\nIiIikoqU8NScPwDrnXPzg+4zgc+cczOdc9uBcUBXM2ufrABFRERERFKNEp6acz4wNaS7E7CotMM5\n9wOwNOhDye57AAAgAElEQVQvIiIiIiLVQAlPDTCzPKA3MCWkd2OgMGzUIiCjpuISEREREUl1ekpb\nzRgEvOOcKwjptwXIDBuvCVAcrZBx48aVfc7Pzyc/P7/6IhQRERERSUFKeGrGIOCvYf0WA4NLO8ys\nEXBQ0D+i0IRHREREREQqplvaEszMegCtgX+GDXoW6GRmZ5hZPWAs8LFzbklNxygiIiIikqqU8CTe\n+cAzzrmtoT2dcxuAs/BXfjYBRwD9az48EREREZHUpVvaEsw5d3GMYXOADjUYjoiIiIhIraIrPCIV\nqJcOZhb3X9v9WyU7ZBEREREJ6AqPSAW2lYAbG/5AvejsxnUJjEZEREREKkNXeEREREREJGUp4RER\nERERkZSlW9pEqlm9fdIxs2SHISIiIiIo4RGpdtt2lOBeu65S09hvxicoGhEREZHaTbe0iYiIiIhI\nylLCIyIiIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpSwiMiIiIiIilLCY+IiIiIiKQs\nJTwiIiIiIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTwiIiIiIhIylLC\nIyIiIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpSwiMiIiIiIilLCY+IiIiIiKQsJTwi\nIiIiIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTwiIiIiIhIylLCIyIi\nIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiISMpSwiMiIiIiIilLCY+IiIiIiKQsJTwiIiIi\nIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiIiIikLCU8IiIiIiKSspTw1AAz629mn5vZFjP7ysx+\nHfQ/wcy+CPq/YWa5yY5VRERERCSVKOFJMDP7DXAbMNg51xjoDSw3s32BZ4AbgGbAR8BTSQtURERE\nRCQFKeFJvHHATc65DwGcc2udc2uBM4HPnHMznXPbg/G6mln7pEUqIiIiIpJilPAkkJmlAUcA+wW3\nsq0ws/vNrD7QCVhUOq5z7gdgadBfRERERESqQZ1kB5DiWgD7AGcBvwZ+Bp4HRgGNgfVh4xcBGTUZ\noIiIiEhNadCgwbqffvqpRbLjkNRTv379b3/88ceWkYYp4UmsH4P/9zvn1gOY2d34hGcekBk2fhOg\nuObCExEREak5P/30UwvnXLLDkBRkZlETaSU8CeSc22xmq8J7B3+LgSGlPc2sEXBQ0D+icePGlX3O\nz88nPz+/+oIVEREREUlBSngS71HgUjN7FX9L2xXAC8As4E4zOwN4GRgLfOycWxKtoNCER0RERERE\nKqaHFiTezcC/gSX4qzcfAX91zm3A/7bnr8Am/MMN+icrSBERERGRVKSEJ8Gccz8750Y657Kcc62d\nc1cEj6HGOTfHOdfBOdfIOXe8c25FsuMVERERkfKmTJlCr169yrrT0tJYvnx5EiOSylDCIyIiIiJJ\n02r/XMwsYX+t9s+tljjNLOJn2fPpNzwiIiIikjTrVq8k79oXE1Z+we2/q/Yy9aS5vYuu8IiIiIiI\nALfffjvt2rUjMzOTzp07M2vWrGSHJNVAV3hERERERIB27doxf/58WrRowT/+8Q8GDRrE0qVLkx2W\n7CZd4RERERERAc466yxatPDvrzz77LNp164dCxYsSHJUsruU8IiIiIiIAFOnTqVbt25kZWWRlZXF\n4sWL2bBhQ7LDkt2kW9pEREREpNZbsWIFF154IW+++SbHHnssAN26ddMDClKAEh4RERERqfW2bt1K\nWloa2dnZ7Ny5kylTpvDZZ58lOyypBrqlTURERERqvQ4dOnDVVVdxzDHH0LJlSxYvXkzPnj0jjqv3\n8OxddIVHRERERJKmZZuchLwrJ7T8eN18883cfPPNEYcNHjy47HNJScluxyU1RwmPiIiIiCTN2lUr\nkh2CpDjd0iYiIiIiIilLCY+IiIiIiKQsJTwiIiIiIpKylPCIiIiIiEjKUsIjIiIiIiIpSwmPiIiI\niIikLCU8IiIiIiKSspTwiIiIiIhUk6FDhzJmzJhkhyEhlPCIiIiISNLk5rbFzBL2l5vbNtmLKElW\nJ9kBiIiIiEjttXJlATPfW5ew8s88tmXCypa9g67wiIiIiEitd8ABB3DXXXfRtWtXMjIyGD58OOvX\nr6dfv35kZmbSt29fCgsLATjnnHNo1aoVWVlZ5Ofn8/nnn0ct98UXX6Rbt25kZWXRs2dPPv3005pa\nJAko4RERERERAWbOnMkbb7zBkiVLeP755+nXrx/jx49nw4YNlJSUcP/99wPQr18/li1bxvr16+ne\nvTvnnntuxPIWLlzIsGHDmDRpEps2beKiiy7itNNOY8eOHTW5WLWeEh4REREREeDSSy8lOzubVq1a\n0atXL44++mi6dOlC3bp1OeOMM1i4cCEAQ4YMoWHDhuyzzz6MGTOGRYsWUVxcvEt5kyZN4uKLL+aI\nI47AzBg0aBD16tXj/fffr+lFq9WU8IiIiIiIAC1atCj73KBBg126t2zZws6dO7nuuuto164dTZs2\n5YADDsDM2LBhwy7lFRQU8D//8z80a9aMZs2akZWVxapVq1izZk2NLI94emiBiIiIiEicpk2bxvPP\nP8+cOXPIzc2lsLCQrKwsnHO7jJuTk8MNN9zA9ddfn4RIpZSu8IiIiIiIxGnLli3Ur1+frKwstm7d\nyvXXX4+ZRRx3+PDhPPTQQyxYsACArVu38vLLL7N169aaDLnWU8IjIiIiIrVeeNISLYk5//zzyc3N\npU2bNnTu3JkePXpELfPwww9n0qRJ/OlPf6JZs2a0b9+eKVOmVGvcUjHd0iYiIiIiSZOTk5fQd+Xk\n5OTFNd7y5cvLdU+dOrVc97Bhwxg2bBgAs2bNKjfsvPPOK/v86KOPlhvWt29f+vbtG3e8Uv2U8IiI\niIhI0qxY8U2yQ5AUp1vaREREREQkZSnhERERERGRlKWER0REREREUpYSHhERERERSVlKeERERERE\nJGUp4RERERERkZSlhEdERERERFKWEh4RERERqfWWLFlCt27daNKkCRMmTKix+aalpe3y0lOpXnrx\nqIiIiIgkTdv9W1Gwel3Cys9r05JvVq2tcLw77riD448/noULFyYslkjMrEbnVxsp4RERERGRpClY\nvQ43NjNh5duN8SVTBQUFDBgwIGFxROOcq/F51ja6pU1EREREarUTTjiBN998k5EjR5KZmclXX33F\n1VdfTV5eHq1atWLEiBFs27YNgHnz5pGTk8Odd95JixYtaNOmDc899xyvvPIKBx98MNnZ2dx2221l\nZX/44Yf06NGDrKws2rRpw6WXXsrPP/8cMY7t27dHna9UnRIeEREREanV3njjDXr16sXEiRMpKipi\n4sSJLF26lE8++YSlS5eyevVqbrrpprLx161bx/bt21mzZg033ngjw4cP58knn2ThwoW89dZb3Hzz\nzRQUFACQnp7Ovffey6ZNm3jvvfeYM2cOEydOjBjHtddeG3O+UjVKeERERERE+OX2skmTJnHPPffQ\npEkTGjVqxHXXXcf06dPLxqtbty5/+ctfSE9Pp3///mzYsIHLL7+chg0b0rFjRzp27MiiRYsA6N69\nO0cddRRmRm5uLhdeeCHz5s2LOP+K5itVo9/wJJiZzQWOBnYABqxyznUIhp0ATABygA+Aoc65FUkK\nVURERKTW++677/jhhx84/PDDy/rt3Lmz3G9t9t1337KHDTRo0ACA/fbbr2x4gwYN2LJlCwBfffUV\nV155Jf/+97/58ccf+fnnn8uVXZn5StXoCk/iOWCEcy7TOZcRkuzsCzwD3AA0Az4CnkpemCIiIiKS\nnZ1Nw4YNWbx4MZs2bWLTpk1s3ryZwsLCKpV3ySWX0KFDB5YtW8bmzZu59dZbIyYx1T1f+YUSnpoR\n6XmDZwKfOedmOue2A+OArmbWvkYjExEREZEyZsbw4cO5/PLL+e677wBYvXo1s2fPrlJ5xcXFZGZm\n0rBhQ/7zn//w4IMP1sh85RdKeGrGbWa23szeNrM+Qb9OwKLSEZxzPwBLg/4iIiIiUoNC34czfvx4\n2rVrxzHHHEPTpk3p27cvS5YsiWva8O677rqLJ598kszMTC666CL69+8fddzbb7+9UvOV+Og3PIl3\nDfA5sB0YADxvZocBjYH1YeMWARk1G56IiIhI8uS1aRn3u3KqWn485syZU/a5Xr163Hrrrdx66627\njNenTx9WrPjlJ9fp6emUlJSUG+ett94q+9yrVy+++OKLcsPHjRtX9jl02rp160adr1SdEp4Ec859\nGNI51cz6A6cAW4Dwt2w1AYqjlRW6ceTn55Ofn19tcYqIiIgkwzer1iY7BElxSniSZzEwuLTDzBoB\nBwX9IwpNeEREREREpGL6DU8CmVkTM+trZvXMLN3MzgV6Aa8AzwKdzOwMM6sHjAU+ds7pRk0RERER\nkWqiKzyJtQ9wC3AwUAL8BzjdObcMwMzOAh4AnsC/h6d/lHJERERERKQKlPAkkHNuA3BUjOFzgA41\nF5GIiIiISO2iW9pERERERCRlKeEREREREZGUpYRHRERERERSlhIeERERERFJWUp4RERERCRp2ubu\nj5kl7K9t7v41vkyDBg2iVatWNG3alEMOOYTJkyeXDSsoKCAtLY3MzEwyMjLIzMzk1ltvrfEYaxM9\npU1EREREkqZg5Wrca9clrHz7zfjdLmP9+vXst99+cY9//fXXM2nSJOrXr8+SJUvo06cP3bt3p1u3\nbj4mMwoLCzGz3Y5NKqYrPCIiIiIiYQoLC3nooYc4+uijGTp0aKWm7dixI/Xr1wfAOYeZsWzZsrLh\nzjl27txZrfFKdEp4RERERETwichrr73GwIEDycvL47XXXmPUqFE8//zzAJx66qlkZWXRrFmzXf6f\ndtpp5coaOXIkjRo1okOHDrRu3Zp+/fqVDTMz2rZtS25uLhdccAEbN26s0eWsbXRLm4iIiIjUeg88\n8AB33HEHzZs3Z8iQITzwwANkZWWVG+eFF16oVHkTJkzgvffeY+7cudSrVw+A7OxsPvzwQw477DA2\nbtzIiBEjOPfcc/nXv/5Vrcsjv9AVHhERERGp9b7++ms2b97MYYcdRpcuXXZJdqrCzOjRowcrV67k\nwQcfBKBRo0Z0796dtLQ0mjdvzoQJE5g9ezZbt27d7flJZEp4RERERKTWu+uuu1i2bBmdOnXi0ksv\n5cADD2TMmDEsXbq0bJx+/fqVPVkt/O+UU06JWvbPP/9c7jc84cxMv+lJICU8IiIiIiL4282uuOIK\nFi1axDPPPMPmzZvp0aMHf/zjHwF4+eWXKS4upqioaJe/l156CYDvvvuOp556iq1bt7Jz505effVV\nZsyYwYknngjAggULWLJkCc45Nm7cyGWXXcZxxx1HRkZG0pY71SnhEREREREJ061bN+6//37WrFnD\nxRdfHPd0ZsaDDz5ITk4OzZo145prruG+++4ruwK0fPlyTj75ZDIzM+nSpQv169dn2rRpiVoMQQ8t\nEBEREZEkystpUy3vyolV/u6oU6cORxxxRNzjZ2dnM3fu3KjD+/fvT//+/XcrJqkcJTwiIiIikjTf\nrFiV7BAkxemWNhERERERSVlKeEREREREJGUp4RERERERkZSlhEdERERERFKWEh4REREREUlZSnhE\nRERERCRlKeEREREREZGUpYRHRERERERSlhIeEREREUma1jmtMbOE/bXOaR13LIMGDaJVq1Y0bdqU\nQw45hMmTJ5cN+/HHHxkxYgTNmzcnKyuL/Pz8qOUUFBSQlpZGZmYmGRkZZGZmcuutt5Yb59prryU7\nO5vmzZtz3XXXVXq9SfzqJDsAEREREam91q5aS+fHOies/M+GfBb3uNdffz2TJk2ifv36LFmyhD59\n+tC9e3e6devG8OHD2blzJ19++SVZWVl8/PHHMcsyMwoLCzGzXYY9/PDDPP/883z66acAnHjiiRx4\n4IFceOGFlVs4iYsSHhERERERoGPHjmWfnXOYGcuWLaNhw4a8+OKLrFq1isaNGwPQrVu3mGU559i5\ncyfp6em7DJs6dSpXXXUVrVq1AuDqq69m0qRJSngSRLe0iYiIiIgERo4cSaNGjejQoQOtW7emX79+\nLFiwgNzcXMaMGUPz5s3p2rUrM2fOjFmOmdG2bVtyc3O54IIL2LhxY9mwxYsX07Vr17Lurl27snjx\n4oQtU22nhEdEREREJPDAAw+wZcsW3nnnHc4880zq1q3LqlWr+Oyzz8jKymLt2rX87W9/Y/DgwXz5\n5ZcRy8jOzubDDz+koKCAjz76iOLiYs4999yy4Vu2bKFJkyZl3ZmZmWzZsiXhy1ZbKeEREREREQlh\nZvTo0YOVK1fy4IMP0qBBA+rWrcuoUaOoU6cOvXv35rjjjmP27NmsXLmSjIyMsocTADRq1Iju3buT\nlpZG8+bNmTBhArNnz2br1q0ANG7cmKKiorL5FRYWlt0qJ9VPCY+IiIiISAQ///wzy5cvp0uXLoD/\nXU6p0ocR5OTkUFxcTHFxcbkkJpyZsXPnTgA6derEokWLyoZ9/PHHdOrUKRGLICjhERERERHhu+++\n46mnnmLr1q3s3LmTV199lRkzZnDiiSfSu3dvcnNzue222ygpKWH+/PnMnTuXk046KWJZCxYsYMmS\nJTjn2LhxI5dddhnHHXccGRkZAJx//vncfffdrFmzhtWrV3P33XczdOjQmlzcWkUJj4iIiIjUembG\ngw8+SE5ODs2aNeOaa67hvvvu45RTTqFOnTo899xzvPTSSzRt2pSLLrqIxx9/nPbt20csa/ny5Zx8\n8slkZmbSpUsX6tevz7Rp08qGX3TRRZx66qkceuihdO3aldNOO43hw4fX1KLWOnostYiIiIgkTav9\nW1XqXTlVKT8e2dnZzJ07N+rwDh068O6778ZVVv/+/enfv3/MccaPH8/48ePjKk92jxIeEREREUma\nNSvXJDsESXG6pU1ERERERFKWEh4REREREUlZSnhERERERCRlKeEREREREZGUpYRHRERERERSlhIe\nERERERFJWUp4REREREQkZSnhERERERGRlKWEp4aY2a/M7EczmxrS7wQz+8LMtpjZG2aWm8wYRURE\nRGpaTl4OZpawv5y8nGqLNT8/nwYNGpCZmUlGRgYdOnQoN/yNN96gQ4cONG7cmBNOOIEVK1ZU27yl\n6uokO4C9gZllAtcDhwLLgfHOucq+FngCsCCkzGzgGeAC4EXgFuAp4NjqiFlERERkb7BqxSoe+vqO\nhJV/8QHXxDXe+vXr2W+//WKOY2ZMnDiRoUOH7jJs48aNnHXWWfz973/nd7/7HaNGjeK//uu/eO+9\n96oUt1QfXeGJzwPAFuB+YCvwz8pMbGb9ge+BN0J6nwF85pyb6ZzbDowDuppZ+2qJWERERETiNmTI\nEI455hgefvhhCgsLo47nnIvYf+bMmXTu3JkzzzyTunXrMm7cOBYtWsSSJUsSFbLESQlPBGZ2r5k1\nDumVi7+qMxt/JeaQSpSVCdwIXAlYyKBOwKLSDufcD8DSoL+IiIiI1KAXXniBv/zlL7z66qu0bduW\n8847j9dff32XBOf6669nv/32o1evXsybN6+s/+LFi+natWtZd8OGDWnXrh2LFy+usWWQyJTwRLYA\nmGdm/xV0PwMsNLMngP8DplSirJuASRFugWsMhJ8+KAIyqhCviIiIiOyG9PR0TjvtNGbOnMmyZcs4\n5phjuPbaa2nbti0TJ04E4I477mD58uWsXr2a4cOHc+qpp/L1118DsGXLFpo0aVKuzMzMTIqLi2t8\nWaQ8/YYnAufcNDN7CbjFzC4A/gy8DnQG7nPOfRhPOWZ2GHAicFiEwVuAzLB+TYCoW8W4cePKPufn\n55Ofnx9PGCIiIiJSCc2aNePQQw/lsMMO45///GdZUnPkkUeWjXP++eczffp0Xn75ZUaOHEnjxo0p\nKioqV05hYSEZGTqXnWxKeKJwzhUCl5rZ4cDfgXnATc65nypRTB8gD1hhZoa/qpNmZh2Bh4AhpSOa\nWSPgICDqdc/QhEdEREREqtfSpUuZOnUqjz/+OE2bNmXIkCHccccd7LvvvhHHN7OyW946derElCm/\n3AS0detWli1bRqdO+rVCsumWtgjMrLWZ3W9mLwLnAKcDq4H3zOy0ShT1MD6JOQzoik9yXgL6ArOA\nTmZ2hpnVA8YCHzvn9Ms2ERERkRo2bNgwevToQWFhIc8++ywLFy7ksssuK0t2CgsLmT17Ntu2baOk\npIQnn3ySt99+m5NPPhmAM844g8WLF/Pss8+ybds2brzxRg477DDat9fzqJJNV3gi+wcwH/gbcAJw\nv3NuoJn9E/gfMxvunDu1okKCq0FlV4TMbAvwk3NuU9B9Fv4JcE8AHwD9q31JRERERKRCl1xyCQ8/\n/DB16kQ+PN6xYwejRo3iyy+/JD09nUMOOYTnnnuOdu3aAZCdnc0zzzzDyJEjOe+88zj66KOZMWNG\nTS6CRKGEJ7IOQL5zboeZzQPeB3DOfQucZ2bHVaVQ59yNYd1zgnmJiIiI1Er75+4f97tyqlp+PI44\n4oiYw7Ozs1mwYEHMcY4//ni++OKLuGOTmqGEJ7KpwOtm9g7QC3gsdKBz7s1kBCUiIiKSalYWrEx2\nCJLilPBE4Jy73MyOBA4Apjnn9AB1EREREZG9kBKeKIJHT8f1+GkREREREdkz6SltIiIiIiKSspTw\niIiIiIhIylLCIyIiIiIiKUsJj4iIiIiIpCwlPCIiIiIikrKU8IiIiIiI7KVOOukkpk+fnuww9mhK\neEREREQkafJatcbMEvaX16p1XHFMmzaNjIwMMjMzy/4yMjJIS0vjlltuSfBagHfeeads/o0bNyYt\nLa0shszMTFatWhVxuldffZUBAwYkPL69md7DIyIiIiJJs2LdWj4/+JCEld/xy//ENd7AgQMZOHBg\nuX6TJ09m9OjRDB8+vFLzLCkpIT09vVLT9OzZk+LiYgAKCgo48MADKSwsxMwiju+cA4g6XH6hKzwi\nIiIiImEWLlzI5ZdfzlNPPUWLFi0oKirij3/8I61btyYnJ4fRo0eXJR1TpkyhZ8+eXHnllWRnZ3Pj\njTfinOOWW26hbdu2tGzZkiFDhpQlNPEqLb9Ur169GDNmDD169KBx48asXLmSXr16MXXqVMAnaH36\n9GHkyJE0bdqUTp06MXfu3LLpJ0+ezAEHHEBmZibt2rXj6aef3r2VtJdQwiMiIiIiEqKwsJCzzz6b\nsWPH0qtXLwAGDx5M3bp1Wb58OQsXLuS1117jkUceKZvmgw8+oF27dqxfv54bbriBRx99lKlTpzJv\n3jyWL19OcXExI0eO3O3YnnjiCR577DGKiopo06bNLsPfffddOnbsyMaNGxk1ahRnnnkmRUVFFBcX\nc9VVV/HGG29QVFTE/Pnz6dKly27HszdQwiMiIiIiEmLQoEF06dKFq6++GoD169fzyiuvcM8991C/\nfn2ys7O5/PLLyz0soE2bNowYMYK0tDTq1avHtGnTuPLKK8nLy6Nhw4bcdtttzJgxg507d+5WbBdc\ncAHt27cnPT094m1zrVu3ZuTIkaSnpzNgwAAOOOAAXnnlFQDS0tL49NNP2bZtGy1atOCQQxJ3K+Ge\nRAmPiIiIiEhg/PjxfPHFFzz22GNl/QoKCtixYwetWrWiWbNmZGVlcfHFF7Nhw4aycXJycsqVs2bN\nGvLy8sq68/Ly+Pnnn/n22293K77w+YTbf//9y3Xn5eWxZs0aMjIymD59OhMmTKBly5acdtppfPXV\nV7sVy95CCY+IiIiICDB37lxuu+02nnnmGTIzM8v65+TkUL9+fTZu3MimTZv4/vvv2bx5M5988knZ\nOOEPD2jdujUFBQVl3QUFBeyzzz60aNFit2Ks6CEF4U9zW7FiBa1b+yfVnXTSSbz22musW7eOgw46\niIsuumi3YtlbKOERERERkVpv7dq1DBgwgHvvvXeX37a0bNmSvn37csUVV1BcXIxzjuXLl/PWW29F\nLW/AgAHcc889fPPNN2zZsoUbbriB/v37k5YW3+F3+AMLKrMcEydOpKSkhBkzZrB8+XJOPvlk1q1b\nx4svvsiPP/5InTp1aNSoUaWfJLe3UsIjIiIiIrXeI488wvr167nsssvKvYcnMzOTESNGMHXqVLZv\n307Hjh1p1qwZZ599NuvWrYta3gUXXMCgQYPo3bs3Bx10EA0bNuT++++PO55IV3Li6dejRw8WL15M\ns2bNuOmmm5g5cyZNmjShpKSEO++8k9atW9O8eXPee+89Hnjggbjj2ZvpPTwiIiIikjS5LVvF/a6c\nqpYfj9GjRzN69OiY40ycOJGJEyfu0n/w4MEMHjy4XD8zY9SoUYwaNSr+YAN5eXmUlJTs0j/SFaXw\nfmlpaTzwwAO7JDNt2rRh3rx5lY4lFSjhEREREZGkKVi7JtkhSIrTLW0iIiIiIjVk2rRpZbfKhd46\nd+ihhyY7tJSlhEdEREREpIYMHDiQ4uJiioqKyv6Ki4v59NNPd7vsYcOGMWfOnGqIMrUo4RERERER\nkZSlhEdERERERFKWEh4REREREUlZSnhERERERCRlKeEREREREZGUpYRHRERERGQvcMsttzBixIhq\nKevYY49l8eLF1VJWuCOPPJIlS5YkpOyqUMIjIiIiIknTNicHM0vYX9ucnPjiaNuWhg0blr0XJzMz\nk3Xr1iVsuUPfxZOenk7Dhg3L+k2fPj3iNKNGjWLixIm7Pe9Zs2bRvHlzOnXqBMAnn3zCSSedRHZ2\nNnXr1q1w+smTJ1OnTp1y62r+/Pllw6+66irGjBmz23FWlzrJDkBEREREaq+CVatwD+3+QXw0dnF8\nV0TMjJdeeonjjjsuYbGEKi4uLvt84IEHMnny5JjzLikpIT09vVrm/dBDDzFs2LCy7rp16zJgwAAu\nuS8pYacAACAASURBVOQSzjnnnLjK6N27d9R3/px++umMGDGCDRs2kJ2dXS0x7w5d4RERERERAZxz\nu/R7//33+fWvf01WVhbdunVj3rx5AMydO5cuXbqUjfeb3/yGo446qqy7d+/ePP/883HPN3zeo0eP\npn///gwcOJAmTZrw5JNPMnr0aIYOHcr/s3fn0VVX5/7H30+YkQSCMkMgUgcEBapYrSIIFv1paVGs\nFURwRKu12mqxDlV6rVoVtYNaO2iVWqxiVdRK1asXUauovUIBcR4YtSoyKIIC+/fHOTk3CUHCkAQO\n79daWZ7vtL/75K7Vmw9772cDvPnmmxQUFPDHP/6RDh060LFjR375y1/mnp82bRp77703zZs3p127\ndpx//vkArFq1iilTptCvX7/cvbvvvjsnnHAC3bp1q1Z/N6RJkyb06tWLxx57bIu0t7kMPJIkSVIV\nFi5cyDe/+U0uueQSPv74Y8aNG8fQoUP56KOP2G+//XjjjTdYvHgxq1evZubMmSxatIhPP/2UlStX\n8q9//Yu+fftu1vvvv/9+RowYwdKlS3MjLxFR4Z6nnnqKt956i4cffpif//znTJ06FYCzzjqLMWPG\nsHTpUt544w2OPvpoAF599VWaNGlC69atN6tvL7zwAq1bt6Zbt25cccUV6wS2bt26MWPGjM16x5bi\nlDZJkiQJGDJkCPXrZ/487t+/P/vttx9HHHEEhx56KAADBw5kn3324eGHH+b444+nT58+TJ06lXbt\n2tGzZ0+Ki4t55plnaNiwIbvssgvFxcWb1Z8DDzyQww8/HIDGjRuvcz0iGDt2LI0aNWKvvfZi1KhR\n3HnnnRx00EE0bNiQ119/ncWLF9OyZUv69OkDwJIlSygsLNysfg0YMIDZs2dTUlLCrFmz+M53vkOj\nRo0499xzc/cUFhayZMmSzXrPluIIjyRJkgRMmjSJxYsXs3jxYu69917effdd7r77blq2bEnLli1z\ngWbRokVAZtra//zP/zB16lT69+9P//79mTJlCk8++WSFKWObqlM1Ci507Ngx97lz584sXLgQgD/9\n6U/Mnj2b3Xbbjf3224/JkycDUFxcXGH90IaMHz8+V5jg29/+NgClpaWUlJQA0KNHDy6++GLuueee\nCs8tX76cFi1aVPs9NcnAI0mSJLHuGp5OnToxcuTIXAj6+OOPWb58OWPGjAGgX79+TJkyhaeeeop+\n/fpx0EEH8eSTTzJ16tQtEngqT1+ryrx583Kf586dS/v27QHYZZdduPPOO/nggw/40Y9+xNChQ/n8\n88/ZbbfdWLVqFR988EG1+jBy5EiWL1/OsmXLmDRp0nrvq/y7mzNnDj179qzWO2qagUeSJEmqwogR\nI3jwwQd59NFHWbt2LStXruTJJ5/MjaJ8/etf59VXX+X5559n3333ZY899uDdd99l2rRpHHTQQTXe\nv5QSl112GStXrmTmzJncfvvtHHvssQDccccdfPTRRwAUFRVRUFBAQUEBDRs2ZMCAAbniC2VWrVrF\nqlWrSCmxatUqvvjii/W+9x//+EcuML388stcccUVDBkyJHd95cqVTJ8+nUMOOWRLf+VNYuCRJEnS\ndq+q0ZSOHTsyadIkrrjiClq1akXnzp0ZN24ca9euBaBp06bsvffe9OjRI7f2Z//996dLly4bVY65\nOiM563PggQey8847c9hhh3HRRRflRpYefvhhunXrRvPmzRkzZgx33313ro+jR49m/PjxuTbefPNN\nmjRpQu/evVm7di1NmjTJ7dFTlUcffZQePXpQWFjIt7/9bYYNG5Yb9QK47777GDRoEK1atdrk77Ul\nWbRAkiRJdaZzx47V3itnU9uvjrfeeqvK83369GHKlCnrfa78hpsAEydOrHbfvuzdl1122QbPRQQn\nn3xyhT11ykyYMGG97/vWt77FVVddxezZs+nevTtdu3bNhbjquO6667juuuvWe/3666/nz3/+c7Xb\nq2kGHkmSJNWZd8qtQdHGqWrfoOqqHNS2pOeff77G2t4UTmmTJGkb0KWkIxGxUT9dSqr3L9uSasa8\nefNyFc7KfsqO58+fv9ntb85UuO2JIzySJG0D3p23gPTYTzbqmfjGL2qoN5Kqo1OnThtVAnpjdO3a\nlTVr1tRI2/nGER5JkiRJecvAU8Mi4s8RsSgilkTEKxFxcrlrAyNiTkR8EhGPR0RJXfZVkiRJyjcG\nnpp3JVCaUmoBfAv4eUT0jogdgb8BFwEtgX8Bd9VdNyVJtalLx3YbtR5HkrRpXMNTw1JKL5c7DCAB\nXYF9gFkppXsBImIs8GFE7JpSeq3WOypJqlXvLniPdGlRte+Pny2rwd5IUv5yhKcWRMSNEfEpMAdY\nCDwMdAdmlN2TUloBvJE9L0mSJGkLMPDUgpTSmUA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izoyIFyJiZUTcWunawIiY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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7394950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Wanted to start bicycling for transportation / recreation\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Wanted to start bicycling for transportation / recreation</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>71.7</td>\n",
       "      <td>28.3</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>73.2</td>\n",
       "      <td>26.8</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>69.2</td>\n",
       "      <td>30.8</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>68.3</td>\n",
       "      <td>31.7</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>75.6</td>\n",
       "      <td>24.4</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>76.9</td>\n",
       "      <td>23.1</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>71.7</td>\n",
       "      <td>28.3</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>72.2</td>\n",
       "      <td>27.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>71.5</td>\n",
       "      <td>28.5</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>71.5</td>\n",
       "      <td>28.5</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>71.6</td>\n",
       "      <td>28.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         \\\n",
       "all                71.7   \n",
       "male               73.2   \n",
       "female             69.2   \n",
       "<=35               68.3   \n",
       "36-50              75.6   \n",
       ">50                76.9   \n",
       "Zero_Trips         71.7   \n",
       "Few_Trips(1-5)     72.2   \n",
       "Mid_Trips(6-15)    71.5   \n",
       "High_Trips(16-50)  71.5   \n",
       "Heavy_Trips(>50)   71.6   \n",
       "\n",
       "                   Wanted to start bicycling for transportation / recreation  \\\n",
       "all                                                             28.3           \n",
       "male                                                            26.8           \n",
       "female                                                          30.8           \n",
       "<=35                                                            31.7           \n",
       "36-50                                                           24.4           \n",
       ">50                                                             23.1           \n",
       "Zero_Trips                                                      28.3           \n",
       "Few_Trips(1-5)                                                  27.8           \n",
       "Mid_Trips(6-15)                                                 28.5           \n",
       "High_Trips(16-50)                                               28.5           \n",
       "Heavy_Trips(>50)                                                28.4           \n",
       "\n",
       "                      N  \n",
       "all                6789  \n",
       "male               4262  \n",
       "female             2527  \n",
       "<=35               3792  \n",
       "36-50              1896  \n",
       ">50                1101  \n",
       "Zero_Trips         2260  \n",
       "Few_Trips(1-5)     1300  \n",
       "Mid_Trips(6-15)    1346  \n",
       "High_Trips(16-50)  1299  \n",
       "Heavy_Trips(>50)    584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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M0O0ZIMG/mFKguHWWCdwTMv+mzrmX/d/fP/HuvUlwziXgNQMruJ9os3PuCudcO7ybuqeY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\nPvvsMwCaN2+evGZGRgZFRUXl7pOens7GjRur/VkYDCRJklR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      "text/plain": [
       "<matplotlib.figure.Figure at 0x741d790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What ultimately motivated you to join Divvy? (Check all that apply) : Other (please specify)\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>other</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>94.2</td>\n",
       "      <td>5.8</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>94.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>93.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>95.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>94.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>89.8</td>\n",
       "      <td>10.2</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>93.4</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>94.1</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>94.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>95.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>94.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         other     N\n",
       "all                94.2    5.8  6789\n",
       "male               94.8    5.2  4262\n",
       "female             93.0    7.0  2527\n",
       "<=35               95.3    4.7  3792\n",
       "36-50              94.3    5.7  1896\n",
       ">50                89.8   10.2  1101\n",
       "Zero_Trips         93.4    6.6  2260\n",
       "Few_Trips(1-5)     94.1    5.9  1300\n",
       "Mid_Trips(6-15)    94.6    5.4  1346\n",
       "High_Trips(16-50)  95.0    5.0  1299\n",
       "Heavy_Trips(>50)   94.3    5.7   584"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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HRDxWOoOI+GZE3FL8f7WIuCAipkfEyxFxeUSsXoz7S0TsVfK9VSJiTkRs3ZEF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m4A3EYJLs5DCSg80GMnHxHRR2QpQURMNvWhfoG2daHTSzpP0g41/X9PSv/xqesxNwN3UtaHrlmH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\nf7rcD6V4otd4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e36330>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Go to work / meetings\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>33.5</td>\n",
       "      <td>40.6</td>\n",
       "      <td>21.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>33.3</td>\n",
       "      <td>45.3</td>\n",
       "      <td>18.1</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>33.8</td>\n",
       "      <td>32.7</td>\n",
       "      <td>27.9</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>33.8</td>\n",
       "      <td>37.6</td>\n",
       "      <td>25.2</td>\n",
       "      <td>3.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>32.1</td>\n",
       "      <td>45.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>34.5</td>\n",
       "      <td>41.9</td>\n",
       "      <td>16.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>38.4</td>\n",
       "      <td>20.0</td>\n",
       "      <td>35.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>41.1</td>\n",
       "      <td>28.2</td>\n",
       "      <td>25.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>38.0</td>\n",
       "      <td>40.8</td>\n",
       "      <td>17.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>22.8</td>\n",
       "      <td>68.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>10.8</td>\n",
       "      <td>86.3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Sometimes use Divvy  Often use Divvy  Never use Divvy  \\\n",
       "all                               33.5             40.6             21.8   \n",
       "male                              33.3             45.3             18.1   \n",
       "female                            33.8             32.7             27.9   \n",
       "<=35                              33.8             37.6             25.2   \n",
       "36-50                             32.1             45.8             18.0   \n",
       ">50                               34.5             41.9             16.3   \n",
       "Zero_Trips                        38.4             20.0             35.5   \n",
       "Few_Trips(1-5)                    41.1             28.2             25.6   \n",
       "Mid_Trips(6-15)                   38.0             40.8             17.8   \n",
       "High_Trips(16-50)                 22.8             68.0              7.2   \n",
       "Heavy_Trips(>50)                  10.8             86.3              1.5   \n",
       "\n",
       "                   Does not apply     N  \n",
       "all                           4.2  6789  \n",
       "male                          3.4  4262  \n",
       "female                        5.6  2527  \n",
       "<=35                          3.3  3792  \n",
       "36-50                         4.1  1896  \n",
       ">50                           7.3  1101  \n",
       "Zero_Trips                    6.0  2260  \n",
       "Few_Trips(1-5)                5.2  1300  \n",
       "Mid_Trips(6-15)               3.4  1346  \n",
       "High_Trips(16-50)             2.1  1299  \n",
       "Heavy_Trips(>50)              1.4   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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DyE4mFL5X7OGU0vMpa/d+F9g9IvrRhHVZ4X7dHMVt7jVmkeyi3Ycpe6/Jw2QnkRuVUjow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\nDvj3/Lb6/8h/Duw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KFObOncsuu+zCkUceWbK8l156iRNOOIGbb76ZhQsX8o1vfIODDjqI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\ny7nnnns4cOAAcXFxTJ06NfAQ4ve//z19+vRh6NChAMTHx/P555+TkpJ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eAb7Ga+GvBYEH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      "text/plain": [
       "<matplotlib.figure.Figure at 0x63001b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Go to or from school\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>60.2</td>\n",
       "      <td>28.9</td>\n",
       "      <td>5.5</td>\n",
       "      <td>5.3</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>61.0</td>\n",
       "      <td>28.5</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>58.9</td>\n",
       "      <td>29.7</td>\n",
       "      <td>5.5</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>57.4</td>\n",
       "      <td>28.4</td>\n",
       "      <td>7.3</td>\n",
       "      <td>6.9</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>64.1</td>\n",
       "      <td>28.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>63.3</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>52.8</td>\n",
       "      <td>38.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>57.0</td>\n",
       "      <td>31.1</td>\n",
       "      <td>5.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>60.1</td>\n",
       "      <td>28.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>69.2</td>\n",
       "      <td>18.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>76.5</td>\n",
       "      <td>11.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Does not apply  Never use Divvy  Often use Divvy  \\\n",
       "all                          60.2             28.9              5.5   \n",
       "male                         61.0             28.5              5.6   \n",
       "female                       58.9             29.7              5.5   \n",
       "<=35                         57.4             28.4              7.3   \n",
       "36-50                        64.1             28.8              3.8   \n",
       ">50                          63.3             31.0              2.5   \n",
       "Zero_Trips                   52.8             38.5              3.0   \n",
       "Few_Trips(1-5)               57.0             31.1              5.2   \n",
       "Mid_Trips(6-15)              60.1             28.0              6.2   \n",
       "High_Trips(16-50)            69.2             18.7              8.5   \n",
       "Heavy_Trips(>50)             76.5             11.8              8.2   \n",
       "\n",
       "                   Sometimes use Divvy     N  \n",
       "all                                5.3  6789  \n",
       "male                               4.9  4262  \n",
       "female                             5.9  2527  \n",
       "<=35                               6.9  3792  \n",
       "36-50                              3.3  1896  \n",
       ">50                                3.3  1101  \n",
       "Zero_Trips                         5.7  2260  \n",
       "Few_Trips(1-5)                     6.8  1300  \n",
       "Mid_Trips(6-15)                    5.6  1346  \n",
       "High_Trips(16-50)                  3.6  1299  \n",
       "Heavy_Trips(>50)                   3.4   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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N822Vm9N2nbXKNlylvGrLeU9yfX1lcQy6CvgHOdnQVj3/z1T2bJ22yqwxvytnvL79eIbH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      "text/plain": [
       "<matplotlib.figure.Figure at 0x743cb50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Social / Entertainment\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>28.0</td>\n",
       "      <td>55.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>12.5</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>27.5</td>\n",
       "      <td>54.6</td>\n",
       "      <td>4.7</td>\n",
       "      <td>13.2</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>28.7</td>\n",
       "      <td>56.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>11.2</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>33.4</td>\n",
       "      <td>56.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>8.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>21.5</td>\n",
       "      <td>56.4</td>\n",
       "      <td>6.2</td>\n",
       "      <td>15.9</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>20.3</td>\n",
       "      <td>50.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>21.1</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>25.8</td>\n",
       "      <td>55.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.1</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>27.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>31.0</td>\n",
       "      <td>55.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>11.3</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>28.2</td>\n",
       "      <td>53.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>11.7</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>31.3</td>\n",
       "      <td>53.4</td>\n",
       "      <td>5.8</td>\n",
       "      <td>9.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Often use Divvy  Sometimes use Divvy  Does not apply  \\\n",
       "all                           28.0                 55.3             4.3   \n",
       "male                          27.5                 54.6             4.7   \n",
       "female                        28.7                 56.4             3.6   \n",
       "<=35                          33.4                 56.1             2.2   \n",
       "36-50                         21.5                 56.4             6.2   \n",
       ">50                           20.3                 50.5             8.1   \n",
       "Zero_Trips                    25.8                 55.1             4.0   \n",
       "Few_Trips(1-5)                27.0                 58.0             3.8   \n",
       "Mid_Trips(6-15)               31.0                 55.1             2.6   \n",
       "High_Trips(16-50)             28.2                 53.8             6.3   \n",
       "Heavy_Trips(>50)              31.3                 53.4             5.8   \n",
       "\n",
       "                   Never use Divvy     N  \n",
       "all                           12.5  6789  \n",
       "male                          13.2  4262  \n",
       "female                        11.2  2527  \n",
       "<=35                           8.3  3792  \n",
       "36-50                         15.9  1896  \n",
       ">50                           21.1  1101  \n",
       "Zero_Trips                    15.1  2260  \n",
       "Few_Trips(1-5)                11.2  1300  \n",
       "Mid_Trips(6-15)               11.3  1346  \n",
       "High_Trips(16-50)             11.7  1299  \n",
       "Heavy_Trips(>50)               9.4   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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sFTNbZWafmNmJMePcb2YTzOwFMyuXNMzMfmxms6MyFpnZxXWJDwAA1A9JPgAA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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6dfb6d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Exercise, recreation\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>20.3</td>\n",
       "      <td>28.1</td>\n",
       "      <td>47.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>17.9</td>\n",
       "      <td>30.3</td>\n",
       "      <td>46.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>24.4</td>\n",
       "      <td>24.5</td>\n",
       "      <td>47.5</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>21.6</td>\n",
       "      <td>26.4</td>\n",
       "      <td>49.2</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>16.6</td>\n",
       "      <td>32.4</td>\n",
       "      <td>44.7</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>22.3</td>\n",
       "      <td>26.8</td>\n",
       "      <td>43.3</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>21.9</td>\n",
       "      <td>26.0</td>\n",
       "      <td>48.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>19.7</td>\n",
       "      <td>26.8</td>\n",
       "      <td>49.2</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>19.5</td>\n",
       "      <td>30.9</td>\n",
       "      <td>46.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>18.9</td>\n",
       "      <td>30.4</td>\n",
       "      <td>44.7</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>20.5</td>\n",
       "      <td>27.9</td>\n",
       "      <td>44.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Often use Divvy  Never use Divvy  Sometimes use Divvy  \\\n",
       "all                           20.3             28.1                 47.0   \n",
       "male                          17.9             30.3                 46.6   \n",
       "female                        24.4             24.5                 47.5   \n",
       "<=35                          21.6             26.4                 49.2   \n",
       "36-50                         16.6             32.4                 44.7   \n",
       ">50                           22.3             26.8                 43.3   \n",
       "Zero_Trips                    21.9             26.0                 48.2   \n",
       "Few_Trips(1-5)                19.7             26.8                 49.2   \n",
       "Mid_Trips(6-15)               19.5             30.9                 46.0   \n",
       "High_Trips(16-50)             18.9             30.4                 44.7   \n",
       "Heavy_Trips(>50)              20.5             27.9                 44.3   \n",
       "\n",
       "                   Does not apply     N  \n",
       "all                           4.6  6789  \n",
       "male                          5.2  4262  \n",
       "female                        3.6  2527  \n",
       "<=35                          2.9  3792  \n",
       "36-50                         6.3  1896  \n",
       ">50                           7.5  1101  \n",
       "Zero_Trips                    3.8  2260  \n",
       "Few_Trips(1-5)                4.3  1300  \n",
       "Mid_Trips(6-15)               3.6  1346  \n",
       "High_Trips(16-50)             5.9  1299  \n",
       "Heavy_Trips(>50)              7.2   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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8kiSpZSbvkiStbAqwPCJ+HhGfjYj1KwxTfiW9/PdBwFeB/sBPgK0i4n0l/b8M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      "text/plain": [
       "<matplotlib.figure.Figure at 0x6e36770>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Shopping, errands\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>4.1</td>\n",
       "      <td>51.0</td>\n",
       "      <td>25.7</td>\n",
       "      <td>19.2</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>4.5</td>\n",
       "      <td>51.9</td>\n",
       "      <td>24.1</td>\n",
       "      <td>19.5</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>3.5</td>\n",
       "      <td>49.5</td>\n",
       "      <td>28.3</td>\n",
       "      <td>18.6</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>2.3</td>\n",
       "      <td>52.3</td>\n",
       "      <td>27.1</td>\n",
       "      <td>18.3</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>5.9</td>\n",
       "      <td>51.1</td>\n",
       "      <td>22.4</td>\n",
       "      <td>20.6</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>7.4</td>\n",
       "      <td>46.2</td>\n",
       "      <td>26.5</td>\n",
       "      <td>19.8</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>4.2</td>\n",
       "      <td>50.5</td>\n",
       "      <td>20.3</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>4.1</td>\n",
       "      <td>50.4</td>\n",
       "      <td>24.3</td>\n",
       "      <td>21.2</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>3.5</td>\n",
       "      <td>52.6</td>\n",
       "      <td>28.5</td>\n",
       "      <td>15.5</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>4.5</td>\n",
       "      <td>52.1</td>\n",
       "      <td>28.6</td>\n",
       "      <td>14.8</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>4.5</td>\n",
       "      <td>47.9</td>\n",
       "      <td>37.2</td>\n",
       "      <td>10.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Does not apply  Sometimes use Divvy  Often use Divvy  \\\n",
       "all                           4.1                 51.0             25.7   \n",
       "male                          4.5                 51.9             24.1   \n",
       "female                        3.5                 49.5             28.3   \n",
       "<=35                          2.3                 52.3             27.1   \n",
       "36-50                         5.9                 51.1             22.4   \n",
       ">50                           7.4                 46.2             26.5   \n",
       "Zero_Trips                    4.2                 50.5             20.3   \n",
       "Few_Trips(1-5)                4.1                 50.4             24.3   \n",
       "Mid_Trips(6-15)               3.5                 52.6             28.5   \n",
       "High_Trips(16-50)             4.5                 52.1             28.6   \n",
       "Heavy_Trips(>50)              4.5                 47.9             37.2   \n",
       "\n",
       "                   Never use Divvy     N  \n",
       "all                           19.2  6789  \n",
       "male                          19.5  4262  \n",
       "female                        18.6  2527  \n",
       "<=35                          18.3  3792  \n",
       "36-50                         20.6  1896  \n",
       ">50                           19.8  1101  \n",
       "Zero_Trips                    25.0  2260  \n",
       "Few_Trips(1-5)                21.2  1300  \n",
       "Mid_Trips(6-15)               15.5  1346  \n",
       "High_Trips(16-50)             14.8  1299  \n",
       "Heavy_Trips(>50)              10.4   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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vg9wI3F7Uaw9QvCOnE9dNHV37N1NluxT1437k9xXdQW5X/pH8OFH5+3DK99dH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\nJEnSGti6eeuKL3ZfW39bN2/dqfwcfvj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+0C3GD7IElnAPMANzevUZmJ1bM0HhTMaPvVVj0ySWsBJwJPA/0lXUMJuOxEqWV1jKThwILADHWM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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7424610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What are the primary types of trips for which you use Divvy? Please rate each item individually for how often you use Divvy for this type of trip. : Go to or from transit (Metra, CTA, etc)\n",
      "Survey Filters: []\n",
      "Responses: Percentage\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Does not apply</th>\n",
       "      <th>Often use Divvy</th>\n",
       "      <th>Sometimes use Divvy</th>\n",
       "      <th>Never use Divvy</th>\n",
       "      <th>N</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>all</th>\n",
       "      <td>5.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>38.3</td>\n",
       "      <td>20.2</td>\n",
       "      <td>6789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>male</th>\n",
       "      <td>4.2</td>\n",
       "      <td>40.4</td>\n",
       "      <td>38.9</td>\n",
       "      <td>16.5</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>6.4</td>\n",
       "      <td>29.8</td>\n",
       "      <td>37.4</td>\n",
       "      <td>26.4</td>\n",
       "      <td>2527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&lt;=35</th>\n",
       "      <td>3.9</td>\n",
       "      <td>34.1</td>\n",
       "      <td>40.3</td>\n",
       "      <td>21.7</td>\n",
       "      <td>3792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36-50</th>\n",
       "      <td>5.5</td>\n",
       "      <td>39.7</td>\n",
       "      <td>37.1</td>\n",
       "      <td>17.7</td>\n",
       "      <td>1896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>&gt;50</th>\n",
       "      <td>8.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>33.7</td>\n",
       "      <td>19.3</td>\n",
       "      <td>1101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zero_Trips</th>\n",
       "      <td>6.1</td>\n",
       "      <td>22.9</td>\n",
       "      <td>41.6</td>\n",
       "      <td>29.5</td>\n",
       "      <td>2260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Few_Trips(1-5)</th>\n",
       "      <td>5.2</td>\n",
       "      <td>33.3</td>\n",
       "      <td>41.9</td>\n",
       "      <td>19.6</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid_Trips(6-15)</th>\n",
       "      <td>3.9</td>\n",
       "      <td>38.8</td>\n",
       "      <td>39.9</td>\n",
       "      <td>17.4</td>\n",
       "      <td>1346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High_Trips(16-50)</th>\n",
       "      <td>4.2</td>\n",
       "      <td>51.9</td>\n",
       "      <td>31.6</td>\n",
       "      <td>12.4</td>\n",
       "      <td>1299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heavy_Trips(&gt;50)</th>\n",
       "      <td>5.0</td>\n",
       "      <td>56.5</td>\n",
       "      <td>29.1</td>\n",
       "      <td>9.4</td>\n",
       "      <td>584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Does not apply  Often use Divvy  Sometimes use Divvy  \\\n",
       "all                           5.0             36.5                 38.3   \n",
       "male                          4.2             40.4                 38.9   \n",
       "female                        6.4             29.8                 37.4   \n",
       "<=35                          3.9             34.1                 40.3   \n",
       "36-50                         5.5             39.7                 37.1   \n",
       ">50                           8.0             39.0                 33.7   \n",
       "Zero_Trips                    6.1             22.9                 41.6   \n",
       "Few_Trips(1-5)                5.2             33.3                 41.9   \n",
       "Mid_Trips(6-15)               3.9             38.8                 39.9   \n",
       "High_Trips(16-50)             4.2             51.9                 31.6   \n",
       "Heavy_Trips(>50)              5.0             56.5                 29.1   \n",
       "\n",
       "                   Never use Divvy     N  \n",
       "all                           20.2  6789  \n",
       "male                          16.5  4262  \n",
       "female                        26.4  2527  \n",
       "<=35                          21.7  3792  \n",
       "36-50                         17.7  1896  \n",
       ">50                           19.3  1101  \n",
       "Zero_Trips                    29.5  2260  \n",
       "Few_Trips(1-5)                19.6  1300  \n",
       "Mid_Trips(6-15)               17.4  1346  \n",
       "High_Trips(16-50)             12.4  1299  \n",
       "Heavy_Trips(>50)               9.4   584  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
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NTfcUsCgi9ii+Ggc8VNTPSupvpdyC5tusVepwhfIqrefPkdvr64pj0A3A38mJhuba+RdS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\n49l9993p2bMnAIcddhgXXXQRc+fOZc6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kpaURQqBXr15f+31NmTKFyy+/nDZt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\nkiR9dzktUJIk7ZVLCSRJkiRJSmDOGJAkSZIkKYEZDEiSJEmSlMAMBiRJkiR