Step-3_Analyze_the_Results.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze the results\n",
    "\n",
    "Now that you have `test.csv` or some other outputs from your model, you might like to analyze or visualize the results. The first thing to do is to either make a copy, or copy the metadata from the first six lines of `test.csv` so that the first line of the file is the column names.\n",
    "\n",
    "Once you've done that, you can use the `pandas` project to get the info into a dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "data_df = pandas.read_csv('test.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(did you get an 'error tokenizing data'? If so, you *probably* forgot to delete the metadata from the csv file:\n",
    "```\n",
    "\"BehaviorSpace results (NetLogo 6.0.4)\"\n",
    "\"Virus.nlogo\"\n",
    "\"exp01\"\n",
    "\"08/28/2018 14:15:31:214 +0000\"\n",
    "\"min-pxcor\",\"max-pxcor\",\"min-pycor\",\"max-pycor\"\n",
    "\"-17\",\"17\",\"-17\",\"17\"\n",
    "```\n",
    "Delete that, save, then try again.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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       "      <td>44</td>\n",
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       "      <td>252</td>\n",
       "      <td>48</td>\n",
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       "      <td>75</td>\n",
       "      <td>243</td>\n",
       "      <td>47</td>\n",
       "      <td>87</td>\n",
       "      <td>166</td>\n",
       "      <td>243</td>\n",
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       "      <td>75</td>\n",
       "      <td>230</td>\n",
       "      <td>47</td>\n",
       "      <td>82</td>\n",
       "      <td>171</td>\n",
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       "      <td>229</td>\n",
       "      <td>47</td>\n",
       "      <td>82</td>\n",
       "      <td>171</td>\n",
       "      <td>229</td>\n",
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       "      <th>955</th>\n",
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       "      <td>45</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>228</td>\n",
       "      <td>42</td>\n",
       "      <td>83</td>\n",
       "      <td>175</td>\n",
       "      <td>228</td>\n",
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       "      <th>872</th>\n",
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       "      <td>45</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>205</td>\n",
       "      <td>35</td>\n",
       "      <td>112</td>\n",
       "      <td>152</td>\n",
       "      <td>205</td>\n",
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       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>206</td>\n",
       "      <td>33</td>\n",
       "      <td>114</td>\n",
       "      <td>152</td>\n",
       "      <td>206</td>\n",
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       "      <td>75</td>\n",
       "      <td>207</td>\n",
       "      <td>31</td>\n",
       "      <td>113</td>\n",
       "      <td>155</td>\n",
       "      <td>207</td>\n",
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       "    <tr>\n",
       "      <th>196</th>\n",
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       "      <td>53</td>\n",
       "      <td>42</td>\n",
       "      <td>63</td>\n",
       "      <td>98</td>\n",
       "      <td>53</td>\n",
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       "    <tr>\n",
       "      <th>1370</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>351</td>\n",
       "      <td>88</td>\n",
       "      <td>147</td>\n",
       "      <td>63</td>\n",
       "      <td>351</td>\n",
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       "    <tr>\n",
       "      <th>1314</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>335</td>\n",
       "      <td>115</td>\n",
       "      <td>94</td>\n",
       "      <td>91</td>\n",
       "      <td>335</td>\n",
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       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>58</td>\n",
       "      <td>44</td>\n",
       "      <td>68</td>\n",
       "      <td>96</td>\n",
       "      <td>58</td>\n",
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       "    <tr>\n",
       "      <th>1309</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>334</td>\n",
       "      <td>113</td>\n",
       "      <td>94</td>\n",
       "      <td>91</td>\n",
       "      <td>334</td>\n",
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       "    <tr>\n",
       "      <th>1305</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>333</td>\n",
       "      <td>113</td>\n",
       "      <td>92</td>\n",
       "      <td>94</td>\n",
       "      <td>333</td>\n",
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       "    <tr>\n",
       "      <th>1219</th>\n",
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       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>316</td>\n",
       "      <td>78</td>\n",
       "      <td>85</td>\n",
       "      <td>137</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>317</td>\n",
       "      <td>74</td>\n",
       "      <td>85</td>\n",
       "      <td>141</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>318</td>\n",
       "      <td>83</td>\n",
       "      <td>78</td>\n",
       "      <td>139</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>319</td>\n",
       "      <td>84</td>\n",
       "      <td>81</td>\n",
       "      <td>134</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>320</td>\n",
       "      <td>87</td>\n",
       "      <td>81</td>\n",
       "      <td>131</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>321</td>\n",
       "      <td>90</td>\n",
       "      <td>82</td>\n",
       "      <td>128</td>\n",
       "      <td>321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>63</td>\n",
       "      <td>46</td>\n",
       "      <td>79</td>\n",
       "      <td>91</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1242</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>322</td>\n",
       "      <td>99</td>\n",
       "      <td>82</td>\n",
       "      <td>119</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>62</td>\n",
       "      <td>49</td>\n",
       "      <td>75</td>\n",
       "      <td>89</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>323</td>\n",
       "      <td>102</td>\n",
       "      <td>80</td>\n",
       "      <td>118</td>\n",
       "      <td>323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>432</td>\n",
       "      <td>101</td>\n",
       "      <td>101</td>\n",
       "      <td>98</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>61</td>\n",
       "      <td>45</td>\n",
       "      <td>74</td>\n",
       "      <td>93</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>325</td>\n",
       "      <td>111</td>\n",
       "      <td>79</td>\n",
       "      <td>108</td>\n",
       "      <td>325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>326</td>\n",
       "      <td>113</td>\n",
       "      <td>79</td>\n",
       "      <td>106</td>\n",
       "      <td>326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>60</td>\n",
       "      <td>44</td>\n",
       "      <td>73</td>\n",
       "      <td>94</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>327</td>\n",
       "      <td>115</td>\n",
       "      <td>81</td>\n",
       "      <td>101</td>\n",
       "      <td>327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1284</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>328</td>\n",
       "      <td>120</td>\n",
       "      <td>79</td>\n",
       "      <td>101</td>\n",
       "      <td>328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>329</td>\n",
       "      <td>118</td>\n",
       "      <td>81</td>\n",
       "      <td>101</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1293</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>330</td>\n",
       "      <td>117</td>\n",
       "      <td>81</td>\n",
       "      <td>101</td>\n",
       "      <td>330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>59</td>\n",
       "      <td>43</td>\n",
       "      <td>71</td>\n",
       "      <td>94</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1297</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>331</td>\n",
       "      <td>116</td>\n",
       "      <td>83</td>\n",
       "      <td>99</td>\n",
       "      <td>331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>332</td>\n",
       "      <td>117</td>\n",
       "      <td>85</td>\n",
       "      <td>96</td>\n",
       "      <td>332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>324</td>\n",
       "      <td>103</td>\n",
       "      <td>77</td>\n",
       "      <td>119</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1041</th>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>person</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>75</td>\n",
       "      <td>267</td>\n",
       "      <td>47</td>\n",
       "      <td>183</td>\n",
       "      <td>68</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2084 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      [run number]  duration turtle-shape  infectiousness  number-people  \\\n",
       "0                1        20       person              45            150   \n",
       "972              1        20       person              45            150   \n",
       "975              1        20       person              45            150   \n",
       "978              1        20       person              45            150   \n",
       "981              1        20       person              45            150   \n",
       "985              1        20       person              45            150   \n",
       "989              1        20       person              45            150   \n",
       "993              1        20       person              45            150   \n",
       "996              1        20       person              45            150   \n",
       "1001             1        20       person              45            150   \n",
       "1007             1        20       person              45            150   \n",
       "968              1        20       person              45            150   \n",
       "1010             1        20       person              45            150   \n",
       "1016             1        20       person              45            150   \n",
       "1023             1        20       person              45            150   \n",
       "1027             1        20       person              45            150   \n",
       "1031             1        20       person              45            150   \n",
       "1040             1        20       person              45            150   \n",
       "2082             1        20       person              45            150   \n",
       "1044             1        20       person              45            150   \n",
       "1047             1        20       person              45            150   \n",
       "1050             1        20       person              45            150   \n",
       "1054             1        20       person              45            150   \n",
       "1013             1        20       person              45            150   \n",
       "963              1        20       person              45            150   \n",
       "959              1        20       person              45            150   \n",
       "955              1        20       person              45            150   \n",
       "872              1        20       person              45            150   \n",
       "876              1        20       person              45            150   \n",
       "879              1        20       person              45            150   \n",
       "...            ...       ...          ...             ...            ...   \n",
       "196              4        20       person              75            150   \n",
       "1370             4        20       person              75            150   \n",
       "1314             4        20       person              75            150   \n",
       "212              4        20       person              75            150   \n",
       "1309             4        20       person              75            150   \n",
       "1305             4        20       person              75            150   \n",
       "1219             4        20       person              75            150   \n",
       "1223             4        20       person              75            150   \n",
       "1226             4        20       person              75            150   \n",
       "1229             4        20       person              75            150   \n",
       "1233             4        20       person              75            150   \n",
       "1237             4        20       person              75            150   \n",
       "230              4        20       person              75            150   \n",
       "1242             4        20       person              75            150   \n",
       "226              4        20       person              75            150   \n",
       "1263             4        20       person              75            150   \n",
       "1683             4        20       person              75            150   \n",
       "223              4        20       person              75            150   \n",
       "1272             4        20       person              75            150   \n",
       "1276             4        20       person              75            150   \n",
       "220              4        20       person              75            150   \n",
       "1280             4        20       person              75            150   \n",
       "1284             4        20       person              75            150   \n",
       "1289             4        20       person              75            150   \n",
       "1293             4        20       person              75            150   \n",
       "216              4        20       person              75            150   \n",
       "1297             4        20       person              75            150   \n",
       "1301             4        20       person              75            150   \n",
       "1268             4        20       person              75            150   \n",
       "1041             4        20       person              75            150   \n",
       "\n",
       "      chance-recover  [step]  count turtles with [ sick? ]  \\\n",
       "0                 75       0                            10   \n",
       "972               75     232                            47   \n",
       "975               75     233                            49   \n",
       "978               75     234                            47   \n",
       "981               75     235                            44   \n",
       "985               75     236                            41   \n",
       "989               75     237                            42   \n",
       "993               75     238                            43   \n",
       "996               75     239                            47   \n",
       "1001              75     240                            50   \n",
       "1007              75     241                            48   \n",
       "968               75     231                            47   \n",
       "1010              75     242                            46   \n",
       "1016              75     244                            47   \n",
       "1023              75     245                            46   \n",
       "1027              75     246                            44   \n",
       "1031              75     247                            46   \n",
       "1040              75     248                            43   \n",
       "2082              75     519                            75   \n",
       "1044              75     249                            42   \n",
       "1047              75     250                            43   \n",
       "1050              75     251                            44   \n",
       "1054              75     252                            48   \n",
       "1013              75     243                            47   \n",
       "963               75     230                            47   \n",
       "959               75     229                            47   \n",
       "955               75     228                            42   \n",
       "872               75     205                            35   \n",
       "876               75     206                            33   \n",
       "879               75     207                            31   \n",
       "...              ...     ...                           ...   \n",
       "196               75      53                            42   \n",
       "1370              75     351                            88   \n",
       "1314              75     335                           115   \n",
       "212               75      58                            44   \n",
       "1309              75     334                           113   \n",
       "1305              75     333                           113   \n",
       "1219              75     316                            78   \n",
       "1223              75     317                            74   \n",
       "1226              75     318                            83   \n",
       "1229              75     319                            84   \n",
       "1233              75     320                            87   \n",
       "1237              75     321                            90   \n",
       "230               75      63                            46   \n",
       "1242              75     322                            99   \n",
       "226               75      62                            49   \n",
       "1263              75     323                           102   \n",
       "1683              75     432                           101   \n",
       "223               75      61                            45   \n",
       "1272              75     325                           111   \n",
       "1276              75     326                           113   \n",
       "220               75      60                            44   \n",
       "1280              75     327                           115   \n",
       "1284              75     328                           120   \n",
       "1289              75     329                           118   \n",
       "1293              75     330                           117   \n",
       "216               75      59                            43   \n",
       "1297              75     331                           116   \n",
       "1301              75     332                           117   \n",
       "1268              75     324                           103   \n",
       "1041              75     267                            47   \n",
       "\n",
       "      count turtles with [ immune? ]  \\\n",
       "0                                  0   \n",
       "972                               79   \n",
       "975                               79   \n",
       "978                               79   \n",
       "981                               83   \n",
       "985                               86   \n",
       "989                               87   \n",
       "993                               83   \n",
       "996                               84   \n",
       "1001                              80   \n",
       "1007                              81   \n",
       "968                               81   \n",
       "1010                              84   \n",
       "1016                              82   \n",
       "1023                              81   \n",
       "1027                              78   \n",
       "1031                              77   \n",
       "1040                              78   \n",
       "2082                              30   \n",
       "1044                              82   \n",
       "1047                              81   \n",
       "1050                              80   \n",
       "1054                              80   \n",
       "1013                              87   \n",
       "963                               82   \n",
       "959                               82   \n",
       "955                               83   \n",
       "872                              112   \n",
       "876                              114   \n",
       "879                              113   \n",
       "...                              ...   \n",
       "196                               63   \n",
       "1370                             147   \n",
       "1314                              94   \n",
       "212                               68   \n",
       "1309                              94   \n",
       "1305                              92   \n",
       "1219                              85   \n",
       "1223                              85   \n",
       "1226                              78   \n",
       "1229                              81   \n",
       "1233                              81   \n",
       "1237                              82   \n",
       "230                               79   \n",
       "1242                              82   \n",
       "226                               75   \n",
       "1263                              80   \n",
       "1683                             101   \n",
       "223                               74   \n",
       "1272                              79   \n",
       "1276                              79   \n",
       "220                               73   \n",
       "1280                              81   \n",
       "1284                              79   \n",
       "1289                              81   \n",
       "1293                              81   \n",
       "216                               71   \n",
       "1297                              83   \n",
       "1301                              85   \n",
       "1268                              77   \n",
       "1041                             183   \n",
       "\n",
       "      count turtles with [ not sick? and not immune? ]  ticks  \n",
       "0                                                  140      0  \n",
       "972                                                173    232  \n",
       "975                                                172    233  \n",
       "978                                                174    234  \n",
       "981                                                173    235  \n",
       "985                                                172    236  \n",
       "989                                                170    237  \n",
       "993                                                173    238  \n",
       "996                                                168    239  \n",
       "1001                                               170    240  \n",
       "1007                                               171    241  \n",
       "968                                                172    231  \n",
       "1010                                               170    242  \n",
       "1016                                               170    244  \n",
       "1023                                               172    245  \n",
       "1027                                               178    246  \n",
       "1031                                               176    247  \n",
       "1040                                               178    248  \n",
       "2082                                               193    519  \n",
       "1044                                               176    249  \n",
       "1047                                               176    250  \n",
       "1050                                               176    251  \n",
       "1054                                               172    252  \n",
       "1013                                               166    243  \n",
       "963                                                171    230  \n",
       "959                                                171    229  \n",
       "955                                                175    228  \n",
       "872                                                152    205  \n",
       "876                                                152    206  \n",
       "879                                                155    207  \n",
       "...                                                ...    ...  \n",
       "196                                                 98     53  \n",
       "1370                                                63    351  \n",
       "1314                                                91    335  \n",
       "212                                                 96     58  \n",
       "1309                                                91    334  \n",
       "1305                                                94    333  \n",
       "1219                                               137    316  \n",
       "1223                                               141    317  \n",
       "1226                                               139    318  \n",
       "1229                                               134    319  \n",
       "1233                                               131    320  \n",
       "1237                                               128    321  \n",
       "230                                                 91     63  \n",
       "1242                                               119    322  \n",
       "226                                                 89     62  \n",
       "1263                                               118    323  \n",
       "1683                                                98    432  \n",
       "223                                                 93     61  \n",
       "1272                                               108    325  \n",
       "1276                                               106    326  \n",
       "220                                                 94     60  \n",
       "1280                                               101    327  \n",
       "1284                                               101    328  \n",
       "1289                                               101    329  \n",
       "1293                                               101    330  \n",
       "216                                                 94     59  \n",
       "1297                                                99    331  \n",
       "1301                                                96    332  \n",
       "1268                                               119    324  \n",
       "1041                                                68    267  \n",
       "\n",
       "[2084 rows x 11 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's sort the data. Here, we'll use `sort_values` appended to our data_df dataframe, and we'll tell it to sort against\n",
    "# the [run number] column. The results will be stored in 'sorted'.\n",
    "sorted = data_df.sort_values('[run number]')\n",
    "sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's get the results from Run 1\n",
    "# we add the .loc operator that will let us select rows where run number = 1.\n",
    "# Then we store the new dataframe in run1.\n",
    "# Extract the other three runs!\n",
    "run1 = data_df.loc[data_df['[run number]'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f65fdf951d0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0WUq9XsF53LhSANx+ZaAGS58xehW66Zf+PPrSAjvnzBzFnJrSbuvV95kYRmTohRDfEUJsEUJsFkL8VQiRL4SYLIRYI4TYKYR4SgjhSNRgFYmjrknrd3rcuBKgq+uPYmDcPs349IrRF9jpDIbxh1QYrCeRiOT+d/YAmtJnPP543Um8ePPp3dYpQ58Yhm3ohRDjgVuABVLK4wEbcCXwa+BOKeV0oAW4IREDVSSWo7pWyzGjVehmqLijoZse6ZW6AVPGqTfv72niQGsnEyoKokVmfXH9aZOir1W1bGIYaegmFygQQuQCTuAQcDbwjP7+Y8AlIzyGIgkYGQ2jS7TH6De2HuG9XY3pHFLG0NYZJEcQV68FUJ2m0HLmV+1qREotxv7OThd2m+DVby0Z8LO3XXQcf//6qQCqAC1BDNvQSykPAMuABjQD3wasA1qllIZ7uB8YH+/zQogbhRBrhRBrXS5VGJFqOoNhHLYcRpdqOc1Prd3H1X9cw/t7lMDZQLTqDUdyenimhgyC8kJh1a4mrvnjGpZvPwrAyh2NzK8tpzBvcBndpQXq6SiRjCR0Uw5cDEwGxgGFwHlxNo07bS6lfEBKuUBKuaC6unq4w1AMk85AmHx7DiX5dv547YLoemXoB8ZoCt4TQ5teefSw2+UB4O3tLlxuP1sPtbN4+uB/50o7KLGMJHRzDrBXSumSUgaBZ4HTgDI9lANQAxwc4RgVSaAzEI726jzj2K4f4Id1zekaUsbQ2hmMGqJYjG5TyqPvyupascPFWv2aWjStatCfL1VhsIQyEkPfAJwihHAKIQSwFNgKLAcu17e5DnhhZENUJIPOYBinQ7sf2205vP+DpZx5bHW0oYYiPuGIxOX2RydeY1FeaBf1elZXXZOXt7drodkJ5QWD/rwjN4dCh03dNBPESGL0a9AmXT8CNun7egD4L+C7QohdQCXwUALGqUgwncEw+fYuyYMxpflMrHCqqsQB+M9nNrLtUHtcj744X2+JpyYQ2dfiZfqoIkCb/4G+0yr7oszp4KhbXY+JYERaN1LKnwI/7bF6D7BwJPtVJB9fMEyBvft9vqooj1ZvkEAogiNX1dLF49mPDgBwpN3X6z2jJZ7yQrUU1NOnVXHM6GJe3nQIoNfk9UCcMLGMNXuakFKiBQ0Uw0X9mrOU2Bi9gVGx2NShvKh47ItpE+iwxf/pKL0bDY8/RGFeLtecMnHY+1g8vYqjbn90YlcxfJShz1I6g2EK7N0NvaFB4lKPy3E5rHvx15w8kf/73Ny42yi9Gy2H3hsIU5hni6s9P1iMzx618LyRUWeQbJShzzJaOgJ85u6VbDnY3i1GD10e/Xee2pCOoZkeIwPk8ydNYHRJb011UC3xAPyhCOGIpDAvlzF9fE+DwZCYsGq/hA5/iJN+9SbPfrQ/6cdSevRZxi6Xh62H2gF6xeFnjS1hSnUhu10dHGztZFzZ4LMksgEj9m6kUcajtMDeLcSTjRgdywodudhyBHdcNocZY4uHvB+j8tiq8hzv72mi0ePv02lIJMqjzzJifzQ9c5QduTnce818AFbuVNXKPTE89XgZNwZa6Ca7s26M3gZGFeznTprAnJqyIe/HaNXosahHv3JnI/n2HObXlif9WMrQZxmxj8HxUteOGV3E6JI8VuxQujc9afMGEHE0bmIxpIqzWUfd6Klb6BhZx7LCPO3zVjX0u456mDGmpFcINRkoQ59lxHr0R929UwSFECyeXs27uxoJZ7GxikdrZ5CS/N4aN7GUFtiJSPAErGmcBkM0dDNIXZu+yMu14cjNod1nzTmPRo8/rjZ/MlCGPsvw6A1GZo4t4Y7L42eOLJxcQVtnkIYsjzX3pK0zGNWz6Ysavfpzx2F3KoZkSjoCRuhm5J5qcV6uZWP0Lrcy9IoksHz7UT457EYIePmbp3PGMfFFpibpaW31TR28uPFg1secDVq98cXMYjl1ShU5gmiD62zEq3v0hsTGSCjKz7Vk6CYUjtDsDcRtq5gMlKHPEkLhCF965EOe/egARY7cfsMPtXr/znX1Ldzy1/U8uHJPqoZpaho9fioK+y/jL3XamTuhjBU7sncyO9pqcYShG2MfVvTomzsCSBm/rWIyUIY+CzjQ2sl7u7vkh3v2Ou3JqOI88nJz+N1buwDUxCxaYUtDk5eJFfGbWMeyZHo1G/a18t7u7PzevHroxjnCyVjQDL0V8+hdRv/cotR0WlWGPgtYdPtbXPvwB9Hl/rJGQJuQHR+TQ7/5YBtNWS521twRwO0PDarS81OzRgNw6983JXtYpsSToMlY0Ca3WzqsFzo0qs+VR69IGoNJ53rkSydFX0sJj6yqS+KIzE+9PjFthLX64/jxpZw/Z6wlDdRg8AZC2HIEeQkQxptQ4WRfizdlUgGpotGjXRsqRq9IGoORi40NUQgBv1++i11HszeTpKFp8IYeYFp1EW5/KCtTVDv8YQodtoQoTtZWOvEFI5aTKzY8emXoFQkh1tDk23N45munctfn5w34udgf6b3XnAjAziPZqSLY1hlk66F2hICa8sEZeqN6tj0LdW86dOXKRFAbzQCzVqpvo8eP02FL2Pc0EErrxuI0x4QPLpk3ngWTKoa8D6MFXJ3FfmyDoc0bZMGv3iAYllQX5w26ijHaP7YzSPkAmTpWoyOQOEM/SX+C2nXUw8LJQ792zUoqc+hBGXrLYzwiXndqLT88f9aQPrv6B2fj8YUozrdTUeigobkjGUM0NftavATD2lPRUCakDUOfjU1IjNBNIphY4aS6OI/Ve5q4+uTha9ubjUaPP2VhG1ChG8vz9SfWAXDRvHFD7ho1trSA6aM11cGJFc6srJSNba04FDVPI3RzyR9WEQpHEj4uM+NNoEcvhGDxtCpW7bJWqqrL7adaGXpFojjS7qPcaWfuMNQDY6kozE6ddeOJ6KcXzuKJL5886M+VxkgZN2dZ9o3HH05IVazBtNFFNHcE8FpIP6jR46eqOHUhPWXoLUyHP4QvGOHGJVPJ7aP13WBxOmx4dfnZbMJIg/v8SROG1C0pVsrYlWU1CN5AiKIE6NwYGJ5vo9saN8xgOEKLN0h1UfJ16A2UobcwRtghEZM+hY7caMVjNuFy+yl02IbsoVYVOThn5qjoPrKJDn8IZwKzSar069fl6a22mok0GTn0yqNXJALD0FcloMy6wGGL6oxnE9oj9tBvlEIIfnLBcfo+rOGJDpYOfzghOjcG1dFexpn/Pb657Qjn3r0CQMXoFYkhkWXWhXk2vIGw5SoUB6K1M0jZIArM4mF4bNnk0Ycjks5gOCE6NwbVUY8+87/H59YfiDaPH44DMVyUobcwLt2TTITn4HTkEo5I/KEIvmCYn/1jC0+v3Tfi/Zodjy9IyQDaQH3hdOSSb8/h/17fji+YHWEvb6CrX2yiqCh0IAQ0WuCGGZvFpTx6RUJwuf0IwYDSuoPByIvuDIRZ39DKI6vq+P4zH494v2bH4w+NKAwxc2wJoYjko/qWBI7KvHgD3fvFJgK7LYdyp8MSHr3L7ae0wM7p06oYU6omYxUJoNHjp8LpGHHGDXQ1kegIhGjr7IqVWr03qts3MkP/u6tOALpE0axOl3JlYvugVhflWcSjD3DJvHH8+csnY0/A73KwKENvYRJZZu3Uf7jeQLhbPn2LxbtPeXyhAfX7+2NsaQF2m7CcVktfGCm4iQzdgDbfkekevT+k/XZSWRFroAy9hUlkmbXxw+3wh6KTSWCNCbK+iEQknkCI4hF49LYcwYRyZ9bIRxgevTMJHn2mT2obaZWp1LgxUIbewrjc/oSkVoKWXglajD5Wv8UqRSzx8AbDSDlwR66BmFjpzB6PPpC4NoKxVBXl0ejxZ3TWV12jdrNPZWzeQBl6iyKlpNGTuNBN1KPvEbqxShFLPIxepUV5/TcEH4jaCs3QZ7KRGizbj2g9CxIpgQCaF+wLRjK6UfjKXY3k5ohhKciOFGXoLUqjJ4AvGGF0SWK8h5KCXH2/ftq8QUYVW6ssPR4ev3ZDG6j14kDUVhbi8Ycsr3nz8f5W7nh1O5B4j95wWDK5+GzFDhcn1pYn/LsZDMrQWxSjMfVJCfIeJlY4qSrK473dText7KCmvIC83BxLx+jdhkc/YkOvaapbPfMmNjyV6Bh9VbQ6NjOvN5fbz5aD7ZxxTHVajq8MvUVZsaORMqed48eXJmR/QggWT6/iHxsPsvVQO6UFdi1umqE/vMFgGPqRTMZCl6FvsHic3h/qkmNOdNZNl0efmdfbB3ubga4mPqlmRIZeCFEmhHhGCPGJEGKbEOJUIUSFEOINIcRO/W95ogarGBxSSlbudHH6tCpsOSPv22kwKUa98QefmUl1cZ6lPfqmDu3cRlpwVlPuRAjrtcPrSay3ncjrDjLfoz/Y2gnA5KrBK6AmkpF69HcDr0opZwBzgW3ArcCbUsrpwJv6siJFrNrVyLE/fpWjbj9Lpif2MTF2YveY0cVUWSDlrT8SpRWUb7cxtiSf+iZrp1gm09s2brY/fXELmw+0Je04icbl9nPsj/7JixsP4sjNGbacxkgZtqEXQpQAS4CHAKSUASllK3Ax8Ji+2WPAJSMdpGLwfLC3mWA4wn/+27FcOHdcQvfd0+BVF+dl7KP0YGj0BMjLzUnI5NnESqflY/TGjfHxf1+Y8H3HPiG8sulQwvefLF7bchh/KMKmA21UF+UhRGKfdAbLSDz6KYALeEQIsV4I8UchRCEwWkp5CED/OyoB41QMkvqmDsaVFvCNs6ZFc98TRc+cfM3QB3jqw4aEHscsGJXFifhx1lYUWj50c9TtY35tOUuSPOGYSB2dZLNhX2v0dSrVKnsyEkOfC5wI3CulPAHoYAhhGiHEjUKItUKItS6XawTDUMRS3+yNTv4lmp4e/UX6E8OKndbq52mQyMriiZVOGj1+OjI4D7w/AqEIm/a3MWNMcdKOcd8X5gOZFac3YvMA1QkqXhwOIzH0+4H9Uso1+vIzaIb/iBBiLID+92i8D0spH5BSLpBSLqiuTk/KkRVpaEqeoe9p9KaNKuLEiWW8/PEh/vqB9bz6RGoFRVMsLejVr9nTxBX3r6YjEE6qN3/u8WOYUlWYUQkAsQVe6ZA+MBi2oZdSHgb2CSGO1VctBbYCLwLX6euuA14Y0QgVg8YfCtPUEWBcaUFS9p9vt/HVJVP429dOja4zmnL84NlNSTlmOkmkR29kLFlR8+bzD7zPRj1EcdrUyqQeK9MSAIzqaoCp1UVpG8dIg13fBJ4QQjiAPcCX0G4eTwshbgAagCtGeAzFIGlMgWjSDz4zs9tybBNsKxEKR2jqCCTsu5xoUY8+GI50Wy7OT+71UF2cx7bD7Uk9RiJxx3j0ixOcBTcURmTopZQbgAVx3lo6kv0qhkdjAlsHDharGvrmjgBSJi6uWpJvpzgvl0Nt1tIGOtDSFYO+6/Pzkn68yiJHVAUyE/D4QtRWOplSVcgxozPXo1eYAH8ozMsfH4p6U6nUu86zd0X/fMEw+fbEZvqkCyMOnMibZqnTTnuMIJwVMJRMH7puAUtnjk768UoL7LT7gkQikpwEF2UlmlA4QmcwzGUn1nDL0ulpHYsy9Bbgnjd38oflu/nULO2Hlso0rmCoS5GxvTNoHUOfhKejMqe9m8SzFTCUTMucqXmyKy2wI6UWEjH702SH3oQlHSJmPVFaNxbAeHx+Y+sRoHe+ezIJRbpitFYyYsZ8RyKfjkoL7LRarCOXcT6pMrrGcdq85r/W2n3aGEcqipcIlKG3GHabIC83dV71mcd2TTC1ZsCPb7A0eRKjcxNLWYGjm5a/FTBCUaUFqXEujCyv1k7z3zCN1MqRiuIlAmXoLUBsO4tHv5T48vP+OHvGaJ7+qpZuaSUj5vGHECKxj92lTrulviPourmnyqM3QkSZ8D1GDX2SM5EGgzL0FiD2oj9uXEnKjz9Wb43W3JE5+c0D4faFKMrLTag2iRa6CVqq01RbZxCnw4YjNzWmxLihZMLTY7L65w4HZegzlEhEEgxHOOr2dSsgMR5tU8mY0nxsOYJ9zZ0Db5whePwjawoej7ICO6GIxBsIx30/HMm8G0BrZ5CyFE6KGsfKBI/ep/8/F5ggQSH9wSPFsJjzs9dN0z/TbsuhpryAOgvT2rTSAAAgAElEQVTJ8Hp8oYRPohlhhxZvoJcw1wsbDvCtJzew8vtnMaEiORIWyaDVG6A0hc5FSSYZ+pBm6M2QiaY8+gylp5G/6cypLP/emekZDFqrwQYLyfB6/KGEp8VVFmoZPPEKfp5ffwCA7YfdCT1mstnX3Mn4suRIbsQj324j356TGYY+qGWk5dvTb2bTPwJFQvjCKbVp614DmpbLXlcHkX7CD40eP1P/+xUm3foyz360P4WjGzpuf4iiBE+iGTn5/Wm13PXmDv7tzhUJPW6ykFJS39yRNBG9vigrcGREmqo/qHv0KcyC6wtl6DOQ2Mm8S08Yzz1XncC4FHpV8Zg3oQy3P8TWQ33rkHxyyB2NQ//2jR2pGtqw8PiCFCc4dFM1iL6nmw+0s/2IG38ofhzfTBx1+/EFIyk39MakttnxhQyPXhl6xTCIncybNqooqgufThZP15oef/be93h8dR3n3b2SGx79kEBMw+hY45WO7KChkIzJWKOQbTBdufa3mH9i2xBom5jiOYVMSVP16R59Xooykvoj/SNQDBkjPl9aYOdLiyaldzA6o0ryOXvGKAKhCL96eRvbDrXz5idHWVvfHN0m1gsze4KJx5f4GH1ero2S/Ny4oZueX0dDBqhcHm7XBNpSGaMH7brPDEMfwWHLMYUmjzL0GYhb17j++cXH4XSYJ3Hqv3UJY3+MF//9Zz7m8dV1QFemxIwxxab+oYYjko5AOCml60b7xVjW1Tfz9vbuXda+9ud1/MfTG039PRk3rFSK6IGWYmnm78XAFwx3E/1LJ+YYhWJIdFXcmcfIA0yoKKBnfdH+lk5+8sIWQMu5FgJqyp2m1irZps8zJCP2XFmYR3NHd0N/4+Prem3nD0X4+0f7efjdvQkfQ6Jo9PjJzREpFxfLlBi9P2QeNVdl6DOQe9/eBUBRXvpLq2PJy7UxtiQfh633ZbXste3c8+ZOnHYblYWa5ssHe5v556ZDKR3jX9Y0sOuop8/3/aEw3/zregAWTatK+PFLCrorWK7e3URTD8P/4LVdLR7M7Lm63FoHrlSHJsqcdjqDYdNPWPuDEVOkVoIy9BlHMBzhtS2aSqUZ5E97cvEJ47nprKmcPLmCn110XHT975drN6eOQJhSp53WzgCfu381X3/io5SNLRCK8N/PbeLi37/b5zYb97Wxt7GDGWOKGVWcn/AxlDnttMWkBl714PvR11OqC/nqGVMYXdIVCjFzM/FGj5+q4tRXYteUa09aO4/0fcM2A75Q2BSplaAqYzOO2IwbMxr6/zp3BgDfPkdbPn58CZfdu7rbNqUF9mgxSbJ5ZdMhFk2rorTATpOuxdPRhwQBdMWd77oyOd2S+ppIPOOYah77d02Q7lBbV8bNuoYW/rB8F5+ZPTatdRLxcLn9jEpDw+vTpml9ad/Z4eL48aUpP/5g8QUjKnSjGB7egDm6yg+W6aOLuy1fOHccM8cWY0vB435Dk5ebnviI7/1tI9B/oZKBy61lkiRrgrGswE5HINwt7RTgutNqo6+NClqAPa4OfvPadu5/Z3dSxjMSEtk8fSiMKs5nSnUhH+9vTfmxh4IvGDZFaiUoQ59xGB793VfOo8BhDm+hP0ry7Wz86aejy7+76gTOnjGa7b84lxuXTEmq6uH+Fi1F0YjJx+avxxMQ23qwnT2NHdhyBOVJ0m8p1fVujrT7WFffjBDwraXTOXtGVxu+2O9k56/OY9bYEo4O4iaVKlxuPzuPuGn0JK55+lAZU5LfK3vJbJiptab5nv0V/eLV25MVmiitciCMrIzYwq5cWw6FjlwCoQjhiEyKh1+va+8YlcSxHv3B1s5u4mFSSj5zz0pAe1JK1hOH8V1c+/AH7G3UROD6av04d0IZdlsO1cV5g3oaSRW/ee0TXv74EOGITItHD9oT14Z9ZvfoI1QUmsOXzhxroQCgI2Aejeuh8MkvzsXeIxunwKEt+4LhXmqOIyEUjrD5YDsf1mnFWkaYJNYDfHXzYS6aN47RJfn6GLpCKck0XoahN4w8QHWc423/5bnY9FzV6uI8dhwxj9jZwVZfdJ4jXR69Vo9gnptfPPyhMHkm8ejNcbtRDBojRp9JHj1oeh89vWRDp7szmNg0uefWH+CSP6zi2Y80RcjD7T6C4Ug3r/hXr2zjwt+9G/X2Y1vTjStNfLaNwdjS3lWksVk2Bnm5NnL1G6Nh1MzSsCT2e0ynR+8NhE2dldThD5tCix6Uoc8IQmEtvBGOyGhVbGGGefTxMOKXnf1kwQwHI579yJdO4qYzpxKR0NwRoK0z2K1c/6jbz86jHqSU0UyY606t5Y7L5yR0PLEcO6aY57+xiIev78qVnzWA7k9VUR7BsDRNTn2sJ51Oj77nWMyEPxTmiNuXcnmIvsgstzALafL4mf/Lf/VaX5BhHn08jMlkX4I9ercvhCM3h7OOHYVfD8m43H5avQEqCh0caO1KX/z0nSv4zOwxXHvqJG35uDFUJtlLnTehrNvyQM3cDaN21O1PSwexWELhCM3eAAV2G/5QmFFxnkZSgSEQ53L7qa00V9opaDr9UsKkKnM0kcl8a2Fxdrvid20qzICMm4FIVujG4w9GlSer9YIel8dPW2eQMqed17+zhAK7jaW/fYdAKMIrmw5z8bzxQOqaXAO8cstiygsHPl5NueYV7mv2ckyPdNVU09wRQEr49jnTmTuhjJI0Nb42u0ff0Kz9bidWmOMmpAy9idl+2M3n7l8d9z0ziZkNF8Oj76uH6nCJbQNYXaTF2xvdflo7g4wtK4gaS1uMMI+hvZNKQz9QyMagVs8OqjeBoqUhD1FbWcgpUyrTNg5jAttM2UixGP9Xqdbq7wsVozcxj62u6/O9ZOafp4pkefTuGIlho0S/0ROgzdt3I2sj/m30dTUTFYUOivJy096q0eMPsa6+hdpKJ0uOSbwO0FCoKHQgBLhMmkt/pN2Pw5ZDZWF6Q20GmW8tLMwn/XRrsgLRGH2CPXp3TL9XpyOXQocNl1sL3cR67LHZLs3eALYcYUpZCSEEtZVOHn2vLq09ZT/Y20QoIvnfS2en/Yky15ZDhdNhWo9eqxp2IHrKuaYJ813VCkALJWzY18rcCWUsmloZlf8945hR/aovZhJJi9H7Qowr60qRrCrOo76pg1BEdvPYH77+JD53/2oaPQFW7nQxfVSRaX6YPbnm5Fr++7lNrNrVyLFj0hOnN7peTRtdlJbj98TMufQut7/PQrh0oAy9yegMhPnZP7Zw3PhSIhJ+dP5MTppU0W2bhZMr+vh0ZmEY+qHG6KWU3P7PT7h43vi4cW6PP0RxzCRhdVEeO/WbY6xHP6W6iB+dP4tvP7WBzQfauXHJlOGcRkq4auEE/ueVbWkN3xipvemagO1JVZG5KoZjcbn9jE1iPcZQUaEbk/H61sM8+eE+fvz8Zmw5grk1ZQN/KEMpKbAjxNAzJ1q9Qe5fsYdr/vh+3Pc9/u5tAKuK8qIGclKPVLxpo7q80yXTq4c0jlQihGBihZP6pvhZWKnA4w9htwnTCHWZ2aNPl+BbX5jjf0wRJTanelxZviUmXfsi3641Khlqf9R2nzZx6umjKjI26wa6UvEKHTZOmFjebdtZY7ueCBZM6v6e2ZhU5aS+yUsgFOH3b+1MeP3BQBh9dM0S3qoq0mL0ZqkYNohEJE0dgbRo9feFCt2YjNiS7p7epxWZWOmMio8NFiNDJhju/QNvaPISCEe6PTYbntWpU6t63ThzcgTf/dQxuH1B0ygN9sUxo4t5dfNhHly5h2Wv7yAUkXz7nGNSdnyPP5SUPrrDpbo4D38o0itUl252HvUQjkhTFXKN2F0UQtiEEOuFEC/py5OFEGuEEDuFEE8JIcxzW8sAYtvMTawwRw5uMqmtKBxyfnjPfqEHWzu5753dNDR5WbFTa7J9ekwbQMOj7ysl8Jal0/nh+bOGNIZ0cPq0KiISln9yFICWjtSmFmppq+YxqFUmzaVfqV+Di6enNwU1lkTEBb4FbItZ/jVwp5RyOtAC3JCAY2QNsXomPSdhrUhNeQGNHv+Q+n/21Hx56N293P7PT7j3nV181NDC6JK8bt2YZo8vZVRxHktnju65q4xi3oQyHLYcthzU0m4DcZ5okklsxbEZ6KqONVcu/UcNWq1BPAG7dDEiQy+EqAHOB/6oLwvgbOAZfZPHgEtGcoxMZF19C+/tahzWZ9u8AUoL7Oz61XlccsL4BI/MfJTpBSWG8Q6EIqyrb+n3M7FPPVJK6nTJ372NHdQ3eZlcVdgtjjy7ppQPfniOaQSmhkuurk1vpKOGwqlpx2hgttCNWT36ukYvU0zW9nGkHv1dwPcB44qrBFqllEageT8Q11oJIW4UQqwVQqx1uVwjHIZ5CIUjXHbve1z9xzVRAzQUWvWinlybdSdhYzHSHdt14/2j5zdx2b3vRbtDxaM9xtC3eIPRGH9Dk5f6Ji+1JtEXSQaGmBf0PRmdLDy+kKkKyox+tUfafWkeSRdSShqavaaKz8MIDL0Q4gLgqJRyXezqOJvGfb6UUj4gpVwgpVxQXW3etLah0u7r+vE99O7eIWcEGMJb2YIhSdDqDbLziJun1+4H+td1afV2ParXNXVEUycPtvlo9PiZaBJ9kWQQKwuc6tRCs3n0FYUOCh22tEtDxNLcEcDjD5lufm0kbuMi4CIhRB3wJFrI5i6gTAhhXA01wMERjTDDiDVCf3q/no8ahtburKUjkFJhrXRj3NTW1rfwqTtXRNfX9ZMvfri9y8B9VN9CIBThlCld8xnTR5mjcjMZxOZmpzJk4QuGNSfERNemJg1RmNbagp4YT5dmkSc2GLahl1L+QEpZI6WcBFwJvCWlvAZYDlyub3Yd8MKIR5lBGLHmLy2aBNBnCCJec2qAhmZvt16mVqesQAtFPL9e6wZ17zUnAvSZWx+JSFbvbuTfjtMmVtfrfUOvPrmWJ288haduPCXjJ137I9ajT6WhX1ffQjAsTVdrUFvpZNOBNtPk0hs3HbPIExskIxD8X8B3hRC70GL2DyXhGKbFmChccowWjor3Y2xo8jLzx6+y+UBbt/VtnUFavMGoLG02YDy9fHLYzfRRRZw3eyxTqwv7fBzf7fLQ6AmwdOZoxpbms1E39JWFDk6ZUsnJUyqT1tjbDBg9bgE6AuFoa8lks2KHC7tNpFWaOB5Tqgtp9AS4+82d6R4KoIUchYAJFeaa+E+IoZdSvi2lvEB/vUdKuVBKOU1KeYWU0lxT4knG0DWfUO7EYcvBFSeOuqfRQyAc6dXFviGqYW0ubyCZFMfEfBfrEgSVRXk095EjbqTS1ZQXMLHCGRXaypZw16UnjOc3l8/hm2dPA6DRnZrUwhU7G1lQW5F21cqe3HC6pk+00yRCfw1NXsaW5A/YNSzVZEdqRwqJ1TU3SrT72qa+qYNL/rCK/31FK0P44sNrAPPF95JJToz3vVgvaCotsPfZH9XINCnOs3dr6pAthr4wL5crFkzgxFothBLPkUg0R90+th1qjz6lmomKQgcLJ1eYJsWyodlrymQAZegTTGtMpyJNdKm3x9Vl6L1s2NfK/Sv24A+FafUGmVjh5Ng0t4tLNfdecyK3njeDxXo1a1m/hl5bX5Sf2+3JpzSLMpUgtR2W3t2p1YSYqdIzluoi84ibHW73mapQyiCrDP1v39jB799KXiyvrTPInf/aQb49B7stp08ZVSO8s/1IVxOJJv2G8PUzp5pGNCpVnDd7LF87Y2q0dqDMaedQm49zfvtOr8Izj56+WpSX2y2FzUwVm6nAmJR1uX3c985u7klijHrFDhdVRY5uAnBmorrYHHLFUkoaPf5uE+ZmIasM/T1v7mTZ6zuStn9jcvXTs8YAWipcPE+jNcajNzjUpsWaq00kbZoujDDMrqMenl67r9t7biN0k5/LnJrS6PpsuzlWF+VRUehgfUMrt//zE377RnKu60hE8u6uRk6fVtUtzGYmqoocuH2hlKt59sTjD+ELRroVtZmFrDL0ycYw3N8/91hA8zSaPP5eqZTxwhKX3as1ATdTV5p0Uers+qG8u6uRSMz35/F1aaJn06R1T3JyBKdPq+JZPS01WWw73E6jJ2DK+LyBUVuQ7vCNEaZVHn0a6StvPZHUN3fgsOVEY3RVRQ4iElq83eP0PdUXYzHjRZJqCh1dGQuNngBHYx7LjaYihge/7Iq5/Oj8mSkfoxn4wim1ST+GIaA2v9Zc+fOxVOqGvqWj799VKjDCR2ZqOGKQNYa+p7EdLkbTB7ev+0XV5PFz/zt7qKkoiOZxVxdrOc8944dtnYE+24yZpWt8OjEyawwRstjKR3ePpiKXz6/hy4vN2wIwmSycXMFpU7vy2pMRuqhv6iA3R5haEM4I9bV2plfFUhl6E5CoyZq3PjnKstd3sHx7dyE2Qwf9xJgORkasrucj5VG3n3kTypg3oYz5teV8+5zplDntfHrWaNM3v0gF5x43hilVhfzy0uOB7nMZZtNETzc/vfC46Ov2PjKVRkJ9k5fx5QWmFtkzZDT6ytRKFZ8cbidHwPhy890UsyZVIVGG3jDojT32Z2SD3HrejOg6IwxzoKWT59cf4KK54whLyYGWTi6YM5Z7vzA/um0qOwWZnVEl+bz1vTMJhiPYcgT1zV0evdk00dPNsWOK+f3VJ3DzX9bT2hlkVEliG1I3NHtNJ9DVk1hhvHSyYmcj8yaUmaZ5eixZ84vZ7Rp55ZyUkhU7NEPfs1DFyAaJlXE1ytXveG07zR0BguEICydXEIpIS0vpJgq7LYea8oJuHn1zRyArWiwOBUMvKBmGrr7Jy0VzxyV8v4mkpCD9Hr0/FGbT/la+fubUtI2hP8z7PJZgVupFHwUjCI3UNXmjJffxPHojG8SgMC+XykJHtJz/d2/tYucR7YZTa8LqOTMyscJJQ7OXjxpa8IfCGeFhpppkhS7e2eGirTNo+ms1324j356TVkO/v6WTiIQpVeZUTs0KQy+l5MO6ZgACI+jK8+FebR+lBfbeHr2vezaIQeyPpKHZy//p+c7ZnBo4FGornXy8v43P/r/3+Pk/tuILRkxveFKNMfnXX7OWodLcEeC6hz8AMqN3cVmBo5tEeKrp0qky53eVFYa+uSOA2xei3GknHJG9Ui2llGw+0DZgs+U6PQNhTk1pr5h/X00ZDINe5rRT6LCx7VA7ebk50e44iv6JDXE99aFWPDVR3SS7MaY0n9pKJ6uG2b4yHntjuqNlglNSWmBnbV1Lt5qLVBKVJ1aGPn0YzQCmj9I0ZAKh7l79OztcXPC7d7nqwfcH3E9NeQE15QUcaO3sdlH1lQ1ixJPLCuxcNE/rqlhb6TRtlaHZmD6661E4pH/f0yzcWGS4nDa1ijX6E2ciaIiZAM8Ej760wM6exg7+te1IWo5f3+zF6bCZtrI9Owy9frc1jIY/1D3fePthTXPmk8PuPuVxQXs8m1hZyILaClq9Qd7f00QoHCEckVo2SByP/mS981Fdk5czdHVGszUlMDNLplfz1I2nRJe/fc50U+d0p4uJFU7cvhAdCegjGwpHqGvUnKPXv7OEAof5U36XXTEXgB0x+lGppL5JmzsyqxRHVmTd7HF1IARMqdYMfU+Pvj6mycW7uxr7zDKob+pg3oQyFk+vQgi4+o+arPDECiclBbmMLu6d2mbk1U+pLuTUqVXk5gimVitDP1hycgQnT6lkfm056+pbuOH0yekekimJrdkoHEH66XPr9/OdpzZy0qRyxpcVcEyGKKlOrHRSXZzXb6/hZFLf1GHqJ82s8Ojf293EnJqyqMft72HoG5q8zB5fSpnTHk2f7IkvGKbdF2JMaT6jSvJ55PqTomXhDc1e6hq9cWP0jtwc/nHz6fz1K6dQWmDnqa+eylfPMGcKlpm5/4vzefam0yg2YY6yGTBqNkaq9/KvrUcB+LCuxdSyB/GorXB2c9pSRSQi2dfSaeq0X8sb+rbOIBv2tbJkelU09bFn5s3exg4mVxWyaFoVz6zbz18/aOi1H+MHZHhOZx47inNiepN6/KG4oRuA2TWl0Zz6+bXlVCiZgyFTVZTXrepY0Z2qBOnTx1Z1mlV/vi8mVjrZlwZDf6C1k0AoYtqJWMiC0M3q3Y2EI5Ilx1RHc99jQzf7mr0caO3ky4sns3h6FS9/fIjn1h/gqoUTu+3H+AHFio59adEknA5btGnIZ08cn4IzUih6Y2RxueI0uhkKhozCdz91DBfMMXehVE9GFefT5AkgpUxprNyYBJ83oSxlxxwqljf0K3c2UpSXy7wJZdGwTKyhXxntnlPNtFFFfP3Mqdz79m7ufXt3tyo3Q4I0VrAo327jutMmpeAsFIr+qSh0IMTIPfq2ziDTRhVxy9LpCRpZ6igtsBMIR/AFIymdQNYas+Qxc4w5G7NAFoRuGpq9TB1VhN2WgyNO6OaTw+0U5+VGJ0ivXjiRHAGPvVeHlF3pk/E8eoXCLOTacqhwOkYco2/1BqPaMZmGUSGcShVLozHL4unmbcwCWWDo2zq7LlyHrsAXCEV4fHUdr2w6pKVFVXalRU2ocPI/l87mcLuPXXpn+UAowm3/2AJAZaEy9ApzEtu6cvOBNr70yAdc+/AHPPZe3YCffWbdfv7j6Y2s3tMUNZiZRjrEzbYcbKe5I2D6+QzLh27aOoNMrtK89ahHH4rwkxc0wz25qpCZY7unkC3Wu+m8s8PF9NHF7DjiJhCKMHNsSXQfCoXZ0JrRa4b+T6vrWbW7iUKHjQMt3n5DjFJK7nj1k2iDl2A4PdWlI6U0DeJmhprt6SY39Ja3WrGPooaRvu+d3dH365o6ehUwjS8rYGp1Ib98eRv1TR006DP5y66Yk6JRKxRDp6pI6yH73u5GVu50sXTGKM49fuyAhu+Tw+5uXby2HGxL9lCTQqkztR79HpeH37y2nZljSxgVp4bGTFja0EciknZfMHqnryl3Mm1UUbdS8dHF+XEfu4ysm2fW7adOr6zNBM0PRfZitNS7+sE1HGzzsXByBWVOO22dwW7zTT1ZubN77cj/XDo7qeNMFmV6r+G2FMXoDe2lqxZOSMnxRoKlDb3bF0LKrmbTpQV2/vXdM6L59C98YxHv//dSFk3rbei/vHgKNeUF7Dji5v539lBV5OimNa9QmI2eGTeTqgopLbATDEte2xJfA+Zwm4//e31HdPmcmaP49HFjkjrOZJHq0E1dUwdTqwu59tRJKTneSLC0oTf+w3tmEfzvZzWPZeoAJcu1lU5e23KEts5gVD5BoTArl/ao46itcEav/a/9eV0v1VaAv6ypxx+KcPXJ2hPsFzPAaPVFocNGXm5OwrrJDUR9kzdjnvItbeiNNKvSHob+syfWUHf7+QN66LH/iQ9dtyDxA1QoEshZx47id1edEF2uKXd2y6CJJ9jX7A1QnJ/L/1w6m7rbz+cMPREhExFCMLHCmRK9GyllRjXBsbShP6B3g6oaZu77lKouQ680VhSZwMyxWtHOhIoCHLk5lBZ0yW3E83RbvUHTSusOh9pKZzR5Ipm0eIN4A2EmZIiht3TQeeUurSr2uHHDq1g7ZUplgkekUCSXaaOKeP8HSynM0ypDY/WX4hVTtXUGoz1XrcDEikLe292UdBkE46Y5uiQzbpKW9ug/2NvMwskV2G3DO81Zund0/HjzljYrFD0ZU5offQItL+zfo2/rDGZsgVQ8JlYU4A2E++0rkQiilfIZ8jRkaUN/pM03ohhaTo7gvVvP5okvnzLwxgqFCRlfVsCLNy8CNM30UA/l1lZvsNccViZjpFi2+0begKU/XB4fMPywcKqxrKH3BcO4/aERa9OMKyuw1A9BkX3MHl9KcV4u97y1i5v/sr7be63eQMZq28TDSLDwJNnQN7q1J4ZM0b4atqEXQkwQQiwXQmwTQmwRQnxLX18hhHhDCLFT/5sWEfFMe7RSKJKFEIIHr1vAmcdWs3z7UXxBrZVmOCJx+0PROhMrYDT/cfuTm0vv8vhx5OZQnCG1NSPx6EPAf0gpZwKnAN8QQswCbgXelFJOB97Ul1OOy6PUJhUKg1OmVHLtqbX4QxHW1bcAmjcvZe/040zG8OjdyQ7duP1UF+WZtkdsT4Zt6KWUh6SUH+mv3cA2YDxwMfCYvtljwCUjHeRwMJqMVCmPXqEA4PjxpQDs1Btor9UN/vHDzEozIyX6JHSyQzf7W7zdunGZnYTE6IUQk4ATgDXAaCnlIdBuBsCoRBxjKIQjkm8/tQGAqmLrPJYqFCOhuigPp8MW7av67s5GCh02TrBQi0YjdOPxJ9fQ1zd5qc2QHHpIgKEXQhQBfwe+LaVsH8LnbhRCrBVCrHW54jfkHi6bDrThDYQ5aVI5Y0rMrSqnUKQKo3K0Qa8c3dvYwfTRxZaS3jbqB5Jp6L2BEEfdfmpN3CO2JyP6HxZC2NGM/BNSymf11UeEEGP198cCR+N9Vkr5gJRygZRyQXV1YsuuV+xwIQTc/8UFGRNDUyhSQW2lM6rG6nL7LTeHlZdrw5Gbk9QYvVF5myk6NzCyrBsBPARsk1L+NuatF4Hr9NfXAS8Mf3jDY8vBNiZXFVJRqMI2CkUsM8eWsKexg1ZvgEaP9Qw9QHFeLp4kZt2sb2gF6NWwyMyMxKNfBHwROFsIsUH/9xngduBTQoidwKf05ZRS3+RlUgbdbRWKVLF4ejVSwq1/30RTR8CSyQpF+blJnYxdscPF2NJ8pmaQou2wk0CllO8CfcVFlg53vyPFUJU7darSqVEoejK3phSnw8arWw4D1kw/Lnc6ounViSYUjvDurkY+c/zYjAoLW2cWRsfl8eMNhDNqRlyhSBW5thycDlt02WHLHGM1WGorkydVvHF/G25fiCUZJudsOUO/9aCW+DNQUxGFIlv50fmzoq/n11ontdKgtsLJwdZOAqHIwBsPkY37tPj8wskVCd93MsmM+t0hsHJnI47cHBbUZtZ/hEKRKi45YTyXnDB+4A0zlImVhUQkHKMFsCQAAAqESURBVGjtZHJVYufqXB4/dpugMsMSPSzn0a/Y4WLhpAoKYh5PFQpF9mDkt9fraaSJpNHtp7Iwj5yczAp5WcrQH2rrZOdRD0uO6d3sW6FQZAddhj7xcXqXx5+R1faWMvQrdzQCZNxEiUKhSBxRqYckGPpGjz8jFXEtY+illLy06RCjivM4dnTmFDIoFIrEEpV6aE586Mbl9mdk7YFlDP297+xmxQ4Xi6dXZ1R+q0KhSDwTKxKfYukPhWnyBDKy9sAyhv7VzYdx5Obw/XOPTfdQFApFmplUVUhDs5dIRCZsn+vqWghFZEaqfVoivbK5I8CmA21855xjGK3UKhWKrGdihRN/KMIRt4+xpcPXjX9hwwFu/fsmIlISjkhyc0RGVt1bwtC/u6sRKWHxdJVto1AoumfejMTQv7uzkVyb4OqTawGYNbYk2sUqk8i8Ecdh5Q4XpQV25tSUpXsoCoXCBNRWaIVSDU1eTpkyfA+8vtnLsaOL+cF5MxM1tLSQ8TF6KSUrdro4fVoVtgwrYlAoFMlhXFk+uTmC+hFm3jQ0eZmYQQ1G+iLjPfqdRz0caferIimFQhEl15ZDTXkBf1i+m5MmVXDmsUPraPrgij2s2t3I4XafJSTPM96jX7FDa0N4+nRVJKVQKLooc2oVrNc/8uGQP/v/3t7F5gPtzK8t5+wZKW97nXAy2tCv3Onily9vY2p1IePLMqcju0KhSD4HWzujr1/ceHDQn2v3BWnxBvny4sn8/euncfz40mQML6VktKHf29hBZaGDqxZOTPdQFAqFyfj1ZXMo1jNkfvfmzkF/zmiebqWeFhkdo7/21Elce+qkdA9DoVCYkLNmjGLTz/6NX760lT+9X08kIgelOvnAij1AZjX/HoiM9ugVCoViIGorteKpo+6B2wseauuMhnkSrWWfTpShVygUlmai7pm/vOlQn9tsPtDGSx8fjHrzL33zdEv1tMjo0I1CoVAMhKFm+4uXtnLNyRPJt3c34L5gmCvuW01nMAxATXkBx40rSfk4k4ny6BUKhaUZU5rPry+bDcDf1u3v9f4He5vpDIb59WWzeeM7S3j5m4stp4CrDL1CobA8F84dhxDw4+c3s6+5u3zxih0uHLYcLpw7jumjiyl12tM0yuShDL1CobA8Tkcu931hPgAvfdw9Vr9yZyMnTS7H6bBuJFsZeoVCkRV8etZoRpfk8etXP2HDvlYADrf52H7EzRKLV9YrQ69QKLICIQS/ukSL1W860AZo1fUAiy1u6K37rKJQKBQ9OHvGqGis/sfPbwagqiiPmWOt3WdaefQKhSJryMkRyB7dBX964SzLZdn0RBl6hUKR1Vw4d1y6h5B0VOhGoVBkFX/5ysnscXUggckW0rPpD2XoFQpFVnHa1CpOm5pdjYpU6EahUCgsjjL0CoVCYXGUoVcoFAqLkxRDL4Q4VwixXQixSwhxazKOoVAoFIrBkXBDL4SwAX8AzgNmAVcJIWYl+jgKhUKhGBzJ8OgXAruklHuklAHgSeDiJBxHoVAoFIMgGYZ+PLAvZnm/vq4bQogbhRBrhRBrXS5XEoahUCgUCkiOoY9XSyx7rZDyASnlAinlgupqawsKKRQKRTpJRsHUfmBCzHINcLC/D6xbt65RCFE/zONVAY3D/GymkS3nmi3nCdlzrtlynpDac60dzEZC9lT4GSFCiFxgB7AUOAB8CFwtpdyS0AN1HW+tlHJBMvZtNrLlXLPlPCF7zjVbzhPMea4J9+illCEhxM3Aa4ANeDhZRl6hUCgUA5MUrRsp5SvAK8nYt0KhUCiGhhUqYx9I9wBSSLaca7acJ2TPuWbLeYIJzzXhMXqFQqFQmAsrePQKhUKh6IeMNvRW09QRQjwshDgqhNgcs65CCPGGEGKn/rdcXy+EEPfo5/6xEOLE9I18aAghJgghlgshtgkhtgghvqWvt9S5CiHyhRAfCCE26uf5M339ZCHEGv08nxJCOPT1efryLv39Sekc/1ARQtiEEOuFEC/py1Y9zzohxCYhxAYhxFp9namv3Yw19BbV1HkUOLfHuluBN6WU04E39WXQznu6/u9G4N4UjTERhID/kFLOBE4BvqH/31ntXP3A2VLKucA84FwhxCnAr4E79fNsAW7Qt78BaJFSTgPu1LfLJL4FbItZtup5ApwlpZwXk0Zp7mtXSpmR/4BTgddiln8A/CDd40rAeU0CNscsbwfG6q/HAtv11/cDV8XbLtP+AS8An7LyuQJO4CPgZLRimlx9ffQ6RktJPlV/natvJ9I99kGeXw2agTsbeAmtQt5y56mPuQ6o6rHO1Nduxnr0DFJTxwKMllIeAtD/jtLXW+L89cf2E4A1WPBc9XDGBuAo8AawG2iVUob0TWLPJXqe+vttQGVqRzxs7gK+D0T05UqseZ6gSbq8LoRYJ4S4UV9n6ms3k3vGDkpTx8Jk/PkLIYqAvwPfllK2CxHvlLRN46zLiHOVUoaBeUKIMuA5YGa8zfS/GXmeQogLgKNSynVCiDON1XE2zejzjGGRlPKgEGIU8IYQ4pN+tjXFuWayRz9kTZ0M5YgQYiyA/veovj6jz18IYUcz8k9IKZ/VV1vyXAGklK3A22hzEmW6VAh0P5foeervlwLNqR3psFgEXCSEqEOTJT8bzcO32nkCIKU8qP89inbzXojJr91MNvQfAtP1mX0HcCXwYprHlAxeBK7TX1+HFs821l+rz+qfArQZj45mR2iu+0PANinlb2PestS5CiGqdU8eIUQBcA7aZOVy4HJ9s57naZz/5cBbUg/smhkp5Q+klDVSyklov8O3pJTXYLHzBBBCFAohio3XwKeBzZj92k33xMYIJ0U+gyagthv4YbrHk4Dz+StwCAiieQI3oMUu3wR26n8r9G0FWtbRbmATsCDd4x/CeZ6O9vj6MbBB//cZq50rMAdYr5/nZuAn+vopwAfALuBvQJ6+Pl9f3qW/PyXd5zCMcz4TeMmq56mf00b93xbD7pj92lWVsQqFQmFxMjl0o1AoFIpBoAy9QqFQWBxl6BUKhcLiKEOvUCgUFkcZeoVCobA4ytArsg4hRJkQ4ib99TghxDMDbF8nhKhKzegUisSjDL0iGykDbgKtylFKefkA2ysUGY0y9Ips5HZgqq4n/jeh6//rAmTLdK3xj4UQ34z9kBCiQAjxqhDiK3qF5Mu61vxmIcTn03ImCsUgyGRRM4ViuNwKHC+lnKerZ76kr78RmAycIKUMCSEqYj5ThKbj8riU8nEhxGXAQSnl+QBCiNKUjV6hGCLKo1coujgHuE/q0rpSylihrReAR6SUj+vLm4BzhBC/FkIsllK2pXisCsWgUYZeoehC0LeE7CrgPF2QDSnlDmA+msH/XyHET1IzRIVi6ChDr8hG3EBxnPWvA18zpHV7hG5+AjQB/09/bxzglVL+GVgGZEQfW0V2ogy9IuuQUjYBq/RJ2N/EvPVHoAH4WAixEbi6x0e/DeQLIe4AZgMf6N2jfgj8MvkjVyiGh1KvVCgUCoujPHqFQqGwOMrQKxQKhcVRhl6hUCgsjjL0CoVCYXGUoVcoFAqLowy9QqFQWBxl6BUKhcLiKEOvUCgUFuf/Aw1cg5Wsqr8eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "run1.plot.line(x='ticks', y=\"count turtles with [ sick? ]\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So what does _that_ mean?\n",
    "\n",
    "Well, that depends. We often get to the end of a process (or more appropriately, the end of the beginning), and are left with a distinct sense of 'so what'. Embrace that. It's telling you something. Perhaps we're graphing the wrong thing, or asking the wrong question. Or perhaps our experiment was set up poorly. There clearly is _some dynamic_ at play here: try more exploratory visualizations of your data. Can you explain what is happening in this model? How does it force you to ask _other_ questions - and what _kinds_ of questions? \n",
    "\n",
    "Explore the [sample models on Netlogo Web](http://netlogoweb.org/). Are there any that seem like they'd be useful for archaeology? Try to get them running here. Run some experiments! These three notebook files should get you going asking some _good_ questions."
   ]
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