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    "# The Euro on Forex\n",
    "## Exploring Twenty Years of Volatility\n",
    "### History\n",
    "The currency exchange market has been around since coins were first used. At the end of the 1800s the development of the gold standard fixed currency values to a certain amount of gold, allowing for an internationally stable monetary system (1). Eventually the amount of gold was not enough to keep up with the demand for currency. After World War II the Bretton Woods Accord set the US Dollar as the global fixed currency. This was an adjustable rate, but still determined by central banks and state actors (2). The US dollar was pegged to gold at the time, but during the 1970s the same problem (i.e. amount of gold vs currency in circulation) occurred with the dollar. In August of 1971 President Richard Nixon unilaterally canceled direct international convertability of the US dollar to gold, inadvertently beginning a regime of free-floating currencies (3).\n",
    "\n",
    "### Today\n",
    "The modern foreign exchange market (Forex, FX, or currency market) is a direct broker to dealer global marketplace that determines the market value and exchange rate of currencies all over the world. It is open 24 hours a day, 5 days a week. Currencies are always traded in pairs, and the value expressed is of one currency relative to another. For example, at the end of the day on 11/19/21 the Euro to US dollar rate was 1.13, or $1.13 equals €1. All of the twenty most traded currencies are free-floating, their value is determined by political conditions, economic factors and market psychology.\n",
    "\n",
    "Forex is by far the largest financial market in the world, in 2019 having a daily volume of over $6.6 trillion (4). The Euro to US dollar (EURUSD) is the most traded currency pair, taking about 30% of the multi-billion dollar Forex turnover (5).\n",
    "\n",
    "### Methodology\n",
    "This study examines the volatility of the value of the Euro to eight other currencies. It uses the 2019 Triennial Central Bank Survey by the Bank for International Settlements to determine four currencies that represent large portions of the market and four currencies that represent small portions of the market. The highly traded currencies are the US dollar, Japanese yen, UK pound, and Australian dollar. The Israeli shekel, Phillipine peso, Malaysian ringgit, and Romanian leu comprise the group of least traded currencies.\n",
    "\n",
    "The data set used is based on daily closing values provided by the European Central Bank and compiled by Daria Chemkaeva. It is updated weekly, the version used for this study was downloaded from Kaggle in November 2021.\n",
    "\n",
    "### Summary\n",
    "Text with conclusion.\n",
    "<br><br>\n",
    "\n",
    "## Initial Look\n",
    "The first steps are to import the basic libraries, open the file, and take an initial look at the dataset.\n",
    "\n"
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       "      <th></th>\n",
       "      <th>Period\\Unit:</th>\n",
       "      <th>[Australian dollar ]</th>\n",
       "      <th>[Bulgarian lev ]</th>\n",
       "      <th>[Brazilian real ]</th>\n",
       "      <th>[Canadian dollar ]</th>\n",
       "      <th>[Swiss franc ]</th>\n",
       "      <th>[Chinese yuan renminbi ]</th>\n",
       "      <th>[Cypriot pound ]</th>\n",
       "      <th>[Czech koruna ]</th>\n",
       "      <th>[Danish krone ]</th>\n",
       "      <th>[Estonian kroon ]</th>\n",
       "      <th>[UK pound sterling ]</th>\n",
       "      <th>[Greek drachma ]</th>\n",
       "      <th>[Hong Kong dollar ]</th>\n",
       "      <th>[Croatian kuna ]</th>\n",
       "      <th>[Hungarian forint ]</th>\n",
       "      <th>[Indonesian rupiah ]</th>\n",
       "      <th>[Israeli shekel ]</th>\n",
       "      <th>[Indian rupee ]</th>\n",
       "      <th>[Iceland krona ]</th>\n",
       "      <th>[Japanese yen ]</th>\n",
       "      <th>[Korean won ]</th>\n",
       "      <th>[Lithuanian litas ]</th>\n",
       "      <th>[Latvian lats ]</th>\n",
       "      <th>[Maltese lira ]</th>\n",
       "      <th>[Mexican peso ]</th>\n",
       "      <th>[Malaysian ringgit ]</th>\n",
       "      <th>[Norwegian krone ]</th>\n",
       "      <th>[New Zealand dollar ]</th>\n",
       "      <th>[Philippine peso ]</th>\n",
       "      <th>[Polish zloty ]</th>\n",
       "      <th>[Romanian leu ]</th>\n",
       "      <th>[Russian rouble ]</th>\n",
       "      <th>[Swedish krona ]</th>\n",
       "      <th>[Singapore dollar ]</th>\n",
       "      <th>[Slovenian tolar ]</th>\n",
       "      <th>[Slovak koruna ]</th>\n",
       "      <th>[Thai baht ]</th>\n",
       "      <th>[Turkish lira ]</th>\n",
       "      <th>[US dollar ]</th>\n",
       "      <th>[South African rand ]</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-01-08</td>\n",
       "      <td>1.5758</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5748</td>\n",
       "      <td>1.5543</td>\n",
       "      <td>1.0827</td>\n",
       "      <td>7.9184</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.163</td>\n",
       "      <td>7.4369</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90128</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.4982</td>\n",
       "      <td>7.5690</td>\n",
       "      <td>359.62</td>\n",
       "      <td>17247.33</td>\n",
       "      <td>3.8981</td>\n",
       "      <td>89.7975</td>\n",
       "      <td>155.5000</td>\n",
       "      <td>127.26</td>\n",
       "      <td>1337.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.4718</td>\n",
       "      <td>4.9359</td>\n",
       "      <td>10.2863</td>\n",
       "      <td>1.6883</td>\n",
       "      <td>58.947</td>\n",
       "      <td>4.5113</td>\n",
       "      <td>4.8708</td>\n",
       "      <td>90.8000</td>\n",
       "      <td>10.0510</td>\n",
       "      <td>1.6228</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.8480</td>\n",
       "      <td>9.0146</td>\n",
       "      <td>1.2250</td>\n",
       "      <td>18.7212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-01-07</td>\n",
       "      <td>1.5836</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5172</td>\n",
       "      <td>1.5601</td>\n",
       "      <td>1.0833</td>\n",
       "      <td>7.9392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.147</td>\n",
       "      <td>7.4392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5176</td>\n",
       "      <td>7.5660</td>\n",
       "      <td>357.79</td>\n",
       "      <td>17259.99</td>\n",
       "      <td>3.9027</td>\n",
       "      <td>90.0455</td>\n",
       "      <td>155.3000</td>\n",
       "      <td>127.13</td>\n",
       "      <td>1342.29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.2552</td>\n",
       "      <td>4.9570</td>\n",
       "      <td>10.3435</td>\n",
       "      <td>1.6907</td>\n",
       "      <td>59.043</td>\n",
       "      <td>4.4998</td>\n",
       "      <td>4.8712</td>\n",
       "      <td>91.2000</td>\n",
       "      <td>10.0575</td>\n",
       "      <td>1.6253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.8590</td>\n",
       "      <td>8.9987</td>\n",
       "      <td>1.2276</td>\n",
       "      <td>18.7919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-01-06</td>\n",
       "      <td>1.5824</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5119</td>\n",
       "      <td>1.5640</td>\n",
       "      <td>1.0821</td>\n",
       "      <td>7.9653</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.145</td>\n",
       "      <td>7.4393</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90635</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5659</td>\n",
       "      <td>7.5595</td>\n",
       "      <td>357.86</td>\n",
       "      <td>17168.20</td>\n",
       "      <td>3.9289</td>\n",
       "      <td>90.2040</td>\n",
       "      <td>156.3000</td>\n",
       "      <td>127.03</td>\n",
       "      <td>1339.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.3543</td>\n",
       "      <td>4.9482</td>\n",
       "      <td>10.3810</td>\n",
       "      <td>1.6916</td>\n",
       "      <td>59.296</td>\n",
       "      <td>4.5160</td>\n",
       "      <td>4.8720</td>\n",
       "      <td>90.8175</td>\n",
       "      <td>10.0653</td>\n",
       "      <td>1.6246</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.9210</td>\n",
       "      <td>9.0554</td>\n",
       "      <td>1.2338</td>\n",
       "      <td>18.5123</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-01-05</td>\n",
       "      <td>1.5927</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.5517</td>\n",
       "      <td>1.5651</td>\n",
       "      <td>1.0803</td>\n",
       "      <td>7.9315</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.227</td>\n",
       "      <td>7.4387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5136</td>\n",
       "      <td>7.5588</td>\n",
       "      <td>360.27</td>\n",
       "      <td>17075.10</td>\n",
       "      <td>3.9277</td>\n",
       "      <td>89.8670</td>\n",
       "      <td>156.1000</td>\n",
       "      <td>126.25</td>\n",
       "      <td>1335.85</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.5860</td>\n",
       "      <td>4.9293</td>\n",
       "      <td>10.4713</td>\n",
       "      <td>1.7036</td>\n",
       "      <td>59.020</td>\n",
       "      <td>4.5473</td>\n",
       "      <td>4.8721</td>\n",
       "      <td>91.6715</td>\n",
       "      <td>10.0570</td>\n",
       "      <td>1.6180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.7760</td>\n",
       "      <td>9.0694</td>\n",
       "      <td>1.2271</td>\n",
       "      <td>18.4194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-01-04</td>\n",
       "      <td>1.5928</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>6.3241</td>\n",
       "      <td>1.5621</td>\n",
       "      <td>1.0811</td>\n",
       "      <td>7.9484</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.141</td>\n",
       "      <td>7.4379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.90160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.5330</td>\n",
       "      <td>7.5565</td>\n",
       "      <td>361.32</td>\n",
       "      <td>17062.67</td>\n",
       "      <td>3.9430</td>\n",
       "      <td>89.7890</td>\n",
       "      <td>156.1000</td>\n",
       "      <td>126.62</td>\n",
       "      <td>1332.03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.3031</td>\n",
       "      <td>4.9264</td>\n",
       "      <td>10.4440</td>\n",
       "      <td>1.7065</td>\n",
       "      <td>59.058</td>\n",
       "      <td>4.5475</td>\n",
       "      <td>4.8713</td>\n",
       "      <td>90.3420</td>\n",
       "      <td>10.0895</td>\n",
       "      <td>1.6198</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.7280</td>\n",
       "      <td>9.0579</td>\n",
       "      <td>1.2296</td>\n",
       "      <td>17.9214</td>\n",
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       "  Period\\Unit: [Australian dollar ] [Bulgarian lev ] [Brazilian real ] [Canadian dollar ] [Swiss franc ] [Chinese yuan renminbi ] [Cypriot pound ] [Czech koruna ] [Danish krone ] [Estonian kroon ] [UK pound sterling ] [Greek drachma ] [Hong Kong dollar ] [Croatian kuna ] [Hungarian forint ] [Indonesian rupiah ] [Israeli shekel ] [Indian rupee ]   [Iceland krona ]   [Japanese yen ] [Korean won ] [Lithuanian litas ] [Latvian lats ] [Maltese lira ] [Mexican peso ] [Malaysian ringgit ] [Norwegian krone ] [New Zealand dollar ] [Philippine peso ] [Polish zloty ]    [Romanian leu ]   [Russian rouble ] [Swedish krona ] [Singapore dollar ] [Slovenian tolar ] [Slovak koruna ] [Thai baht ]    [Turkish lira ]   [US dollar ] [South African rand ]\n",
       "0  2021-01-08         1.5758             1.9558            6.5748            1.5543           1.0827              7.9184                 NaN            26.163          7.4369             NaN              0.90128              NaN              9.4982            7.5690             359.62             17247.33             3.8981           89.7975                155.5000      127.26         1337.90            NaN               NaN             NaN           24.4718           4.9359              10.2863              1.6883              58.947            4.5113                   4.8708       90.8000          10.0510            1.6228               NaN               NaN          36.8480                 9.0146    1.2250            18.7212      \n",
       "1  2021-01-07         1.5836             1.9558            6.5172            1.5601           1.0833              7.9392                 NaN            26.147          7.4392             NaN              0.90190              NaN              9.5176            7.5660             357.79             17259.99             3.9027           90.0455                155.3000      127.13         1342.29            NaN               NaN             NaN           24.2552           4.9570              10.3435              1.6907              59.043            4.4998                   4.8712       91.2000          10.0575            1.6253               NaN               NaN          36.8590                 8.9987    1.2276            18.7919      \n",
       "2  2021-01-06         1.5824             1.9558            6.5119            1.5640           1.0821              7.9653                 NaN            26.145          7.4393             NaN              0.90635              NaN              9.5659            7.5595             357.86             17168.20             3.9289           90.2040                156.3000      127.03         1339.30            NaN               NaN             NaN           24.3543           4.9482              10.3810              1.6916              59.296            4.5160                   4.8720       90.8175          10.0653            1.6246               NaN               NaN          36.9210                 9.0554    1.2338            18.5123      \n",
       "3  2021-01-05         1.5927             1.9558            6.5517            1.5651           1.0803              7.9315                 NaN            26.227          7.4387             NaN              0.90333              NaN              9.5136            7.5588             360.27             17075.10             3.9277           89.8670                156.1000      126.25         1335.85            NaN               NaN             NaN           24.5860           4.9293              10.4713              1.7036              59.020            4.5473                   4.8721       91.6715          10.0570            1.6180               NaN               NaN          36.7760                 9.0694    1.2271            18.4194      \n",
       "4  2021-01-04         1.5928             1.9558            6.3241            1.5621           1.0811              7.9484                 NaN            26.141          7.4379             NaN              0.90160              NaN              9.5330            7.5565             361.32             17062.67             3.9430           89.7890                156.1000      126.62         1332.03            NaN               NaN             NaN           24.3031           4.9264              10.4440              1.7065              59.058            4.5475                   4.8713       90.3420          10.0895            1.6198               NaN               NaN          36.7280                 9.0579    1.2296            17.9214      "
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       "      <th>[New Zealand dollar ]</th>\n",
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       "      <th>[Romanian leu ]</th>\n",
       "      <th>[Russian rouble ]</th>\n",
       "      <th>[Swedish krona ]</th>\n",
       "      <th>[Singapore dollar ]</th>\n",
       "      <th>[Slovenian tolar ]</th>\n",
       "      <th>[Slovak koruna ]</th>\n",
       "      <th>[Thai baht ]</th>\n",
       "      <th>[Turkish lira ]</th>\n",
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       "      <th>5694</th>\n",
       "      <td>1999-01-08</td>\n",
       "      <td>1.8406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7643</td>\n",
       "      <td>1.6138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58187</td>\n",
       "      <td>34.938</td>\n",
       "      <td>7.4433</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.70940</td>\n",
       "      <td>324.00</td>\n",
       "      <td>9.0302</td>\n",
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       "      <td>250.15</td>\n",
       "      <td>9321.63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.9900</td>\n",
       "      <td>130.09</td>\n",
       "      <td>1366.73</td>\n",
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       "      <td>0.6654</td>\n",
       "      <td>0.4419</td>\n",
       "      <td>11.4414</td>\n",
       "      <td>4.4295</td>\n",
       "      <td>8.5900</td>\n",
       "      <td>2.1557</td>\n",
       "      <td>44.295</td>\n",
       "      <td>4.0363</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>27.2075</td>\n",
       "      <td>9.1650</td>\n",
       "      <td>1.9537</td>\n",
       "      <td>188.8400</td>\n",
       "      <td>42.560</td>\n",
       "      <td>42.5590</td>\n",
       "      <td>0.3718</td>\n",
       "      <td>1.1659</td>\n",
       "      <td>6.7855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5695</th>\n",
       "      <td>1999-01-07</td>\n",
       "      <td>1.8474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7602</td>\n",
       "      <td>1.6165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58187</td>\n",
       "      <td>34.886</td>\n",
       "      <td>7.4431</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.70585</td>\n",
       "      <td>324.40</td>\n",
       "      <td>9.0131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.09</td>\n",
       "      <td>9218.77</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0600</td>\n",
       "      <td>129.43</td>\n",
       "      <td>1337.16</td>\n",
       "      <td>4.65480</td>\n",
       "      <td>0.6627</td>\n",
       "      <td>0.4413</td>\n",
       "      <td>11.5511</td>\n",
       "      <td>4.4203</td>\n",
       "      <td>8.6295</td>\n",
       "      <td>2.1531</td>\n",
       "      <td>44.436</td>\n",
       "      <td>4.0165</td>\n",
       "      <td>1.3092</td>\n",
       "      <td>26.9876</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>1.9436</td>\n",
       "      <td>188.8000</td>\n",
       "      <td>42.765</td>\n",
       "      <td>42.1678</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>6.8283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5696</th>\n",
       "      <td>1999-01-06</td>\n",
       "      <td>1.8820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7711</td>\n",
       "      <td>1.6116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58200</td>\n",
       "      <td>34.850</td>\n",
       "      <td>7.4452</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.70760</td>\n",
       "      <td>324.72</td>\n",
       "      <td>9.1010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.67</td>\n",
       "      <td>9337.68</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5400</td>\n",
       "      <td>131.42</td>\n",
       "      <td>1359.54</td>\n",
       "      <td>4.69940</td>\n",
       "      <td>0.6649</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>11.4705</td>\n",
       "      <td>4.4637</td>\n",
       "      <td>8.7335</td>\n",
       "      <td>2.1890</td>\n",
       "      <td>44.872</td>\n",
       "      <td>4.0065</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>27.4315</td>\n",
       "      <td>9.3050</td>\n",
       "      <td>1.9699</td>\n",
       "      <td>188.7000</td>\n",
       "      <td>42.778</td>\n",
       "      <td>42.6949</td>\n",
       "      <td>0.3722</td>\n",
       "      <td>1.1743</td>\n",
       "      <td>6.7307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5697</th>\n",
       "      <td>1999-01-05</td>\n",
       "      <td>1.8944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7965</td>\n",
       "      <td>1.6123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58230</td>\n",
       "      <td>34.917</td>\n",
       "      <td>7.4495</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.71220</td>\n",
       "      <td>324.70</td>\n",
       "      <td>9.1341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.80</td>\n",
       "      <td>9314.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5300</td>\n",
       "      <td>130.96</td>\n",
       "      <td>1373.01</td>\n",
       "      <td>4.71740</td>\n",
       "      <td>0.6657</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.5960</td>\n",
       "      <td>4.4805</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>2.2011</td>\n",
       "      <td>44.745</td>\n",
       "      <td>4.0245</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>26.5876</td>\n",
       "      <td>9.4025</td>\n",
       "      <td>1.9655</td>\n",
       "      <td>188.7750</td>\n",
       "      <td>42.848</td>\n",
       "      <td>42.5048</td>\n",
       "      <td>0.3728</td>\n",
       "      <td>1.1790</td>\n",
       "      <td>6.7975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5698</th>\n",
       "      <td>1999-01-04</td>\n",
       "      <td>1.9100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8004</td>\n",
       "      <td>1.6168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.58231</td>\n",
       "      <td>35.107</td>\n",
       "      <td>7.4501</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.71110</td>\n",
       "      <td>327.15</td>\n",
       "      <td>9.1332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.48</td>\n",
       "      <td>9433.61</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.4800</td>\n",
       "      <td>133.73</td>\n",
       "      <td>1398.59</td>\n",
       "      <td>4.71700</td>\n",
       "      <td>0.6668</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.6446</td>\n",
       "      <td>4.4798</td>\n",
       "      <td>8.8550</td>\n",
       "      <td>2.2229</td>\n",
       "      <td>45.510</td>\n",
       "      <td>4.0712</td>\n",
       "      <td>1.3111</td>\n",
       "      <td>25.2875</td>\n",
       "      <td>9.4696</td>\n",
       "      <td>1.9554</td>\n",
       "      <td>189.0450</td>\n",
       "      <td>42.991</td>\n",
       "      <td>42.6799</td>\n",
       "      <td>0.3723</td>\n",
       "      <td>1.1789</td>\n",
       "      <td>6.9358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Period\\Unit: [Australian dollar ] [Bulgarian lev ] [Brazilian real ] [Canadian dollar ] [Swiss franc ] [Chinese yuan renminbi ] [Cypriot pound ] [Czech koruna ] [Danish krone ] [Estonian kroon ] [UK pound sterling ] [Greek drachma ] [Hong Kong dollar ] [Croatian kuna ] [Hungarian forint ] [Indonesian rupiah ] [Israeli shekel ] [Indian rupee ]   [Iceland krona ]   [Japanese yen ] [Korean won ] [Lithuanian litas ] [Latvian lats ] [Maltese lira ] [Mexican peso ] [Malaysian ringgit ] [Norwegian krone ] [New Zealand dollar ] [Philippine peso ] [Polish zloty ]    [Romanian leu ]   [Russian rouble ] [Swedish krona ] [Singapore dollar ] [Slovenian tolar ] [Slovak koruna ] [Thai baht ]    [Turkish lira ]   [US dollar ] [South African rand ]\n",
       "5694  1999-01-08         1.8406               NaN               NaN             1.7643           1.6138                NaN                0.58187          34.938          7.4433           15.6466            0.70940            324.00             9.0302              NaN              250.15              9321.63               NaN              NaN                   80.9900      130.09         1366.73          4.66430           0.6654          0.4419          11.4414           4.4295              8.5900               2.1557              44.295            4.0363                   1.3143       27.2075          9.1650             1.9537            188.8400           42.560         42.5590                 0.3718    1.1659            6.7855       \n",
       "5695  1999-01-07         1.8474               NaN               NaN             1.7602           1.6165                NaN                0.58187          34.886          7.4431           15.6466            0.70585            324.40             9.0131              NaN              250.09              9218.77               NaN              NaN                   81.0600      129.43         1337.16          4.65480           0.6627          0.4413          11.5511           4.4203              8.6295               2.1531              44.436            4.0165                   1.3092       26.9876          9.1800             1.9436            188.8000           42.765         42.1678                 0.3701    1.1632            6.8283       \n",
       "5696  1999-01-06         1.8820               NaN               NaN             1.7711           1.6116                NaN                0.58200          34.850          7.4452           15.6466            0.70760            324.72             9.1010              NaN              250.67              9337.68               NaN              NaN                   81.5400      131.42         1359.54          4.69940           0.6649          0.4420          11.4705           4.4637              8.7335               2.1890              44.872            4.0065                   1.3168       27.4315          9.3050             1.9699            188.7000           42.778         42.6949                 0.3722    1.1743            6.7307       \n",
       "5697  1999-01-05         1.8944               NaN               NaN             1.7965           1.6123                NaN                0.58230          34.917          7.4495           15.6466            0.71220            324.70             9.1341              NaN              250.80              9314.51               NaN              NaN                   81.5300      130.96         1373.01          4.71740           0.6657          0.4432          11.5960           4.4805              8.7745               2.2011              44.745            4.0245                   1.3168       26.5876          9.4025             1.9655            188.7750           42.848         42.5048                 0.3728    1.1790            6.7975       \n",
       "5698  1999-01-04         1.9100               NaN               NaN             1.8004           1.6168                NaN                0.58231          35.107          7.4501           15.6466            0.71110            327.15             9.1332              NaN              251.48              9433.61               NaN              NaN                   81.4800      133.73         1398.59          4.71700           0.6668          0.4432          11.6446           4.4798              8.8550               2.2229              45.510            4.0712                   1.3111       25.2875          9.4696             1.9554            189.0450           42.991         42.6799                 0.3723    1.1789            6.9358       "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 5699 entries, 0 to 5698\n",
      "Data columns (total 41 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Period\\Unit:              5699 non-null   object \n",
      " 1   [Australian dollar ]      5699 non-null   object \n",
      " 2   [Bulgarian lev ]          5297 non-null   object \n",
      " 3   [Brazilian real ]         5431 non-null   object \n",
      " 4   [Canadian dollar ]        5699 non-null   object \n",
      " 5   [Swiss franc ]            5699 non-null   object \n",
      " 6   [Chinese yuan renminbi ]  5431 non-null   object \n",
      " 7   [Cypriot pound ]          2346 non-null   object \n",
      " 8   [Czech koruna ]           5699 non-null   object \n",
      " 9   [Danish krone ]           5699 non-null   object \n",
      " 10  [Estonian kroon ]         3130 non-null   object \n",
      " 11  [UK pound sterling ]      5699 non-null   object \n",
      " 12  [Greek drachma ]          520 non-null    object \n",
      " 13  [Hong Kong dollar ]       5699 non-null   object \n",
      " 14  [Croatian kuna ]          5431 non-null   object \n",
      " 15  [Hungarian forint ]       5699 non-null   object \n",
      " 16  [Indonesian rupiah ]      5699 non-null   object \n",
      " 17  [Israeli shekel ]         5431 non-null   object \n",
      " 18  [Indian rupee ]           5431 non-null   object \n",
      " 19  [Iceland krona ]          3292 non-null   float64\n",
      " 20  [Japanese yen ]           5699 non-null   object \n",
      " 21  [Korean won ]             5699 non-null   object \n",
      " 22  [Lithuanian litas ]       4159 non-null   object \n",
      " 23  [Latvian lats ]           3904 non-null   object \n",
      " 24  [Maltese lira ]           2346 non-null   object \n",
      " 25  [Mexican peso ]           5699 non-null   object \n",
      " 26  [Malaysian ringgit ]      5699 non-null   object \n",
      " 27  [Norwegian krone ]        5699 non-null   object \n",
      " 28  [New Zealand dollar ]     5699 non-null   object \n",
      " 29  [Philippine peso ]        5699 non-null   object \n",
      " 30  [Polish zloty ]           5699 non-null   object \n",
      " 31  [Romanian leu ]           5637 non-null   float64\n",
      " 32  [Russian rouble ]         5699 non-null   object \n",
      " 33  [Swedish krona ]          5699 non-null   object \n",
      " 34  [Singapore dollar ]       5699 non-null   object \n",
      " 35  [Slovenian tolar ]        2085 non-null   object \n",
      " 36  [Slovak koruna ]          2608 non-null   object \n",
      " 37  [Thai baht ]              5699 non-null   object \n",
      " 38  [Turkish lira ]           5637 non-null   float64\n",
      " 39  [US dollar ]              5699 non-null   object \n",
      " 40  [South African rand ]     5699 non-null   object \n",
      "dtypes: float64(3), object(38)\n",
      "memory usage: 1.8+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import libraries and set display options\n",
    "import pandas as pd\n",
    "import pprint\n",
    "\n",
    "pd.options.display.float_format = '{:20,.4f}'.format\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.width', 1000)\n",
    "pd.set_option('display.colheader_justify', 'center')\n",
    "pd.set_option('display.precision', 3)\n",
    "\n",
    "# open file\n",
    "x_rates = pd.read_csv(\"euro-daily-hist_1999_2020.csv\")\n",
    "\n",
    "# head, tail, and basic info\n",
    "display(x_rates.head())\n",
    "display(x_rates.tail())\n",
    "display(x_rates.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initial Look Continued\n",
    "The dataset covers the time period from January 1999 to January 2021. It has 5699 rows and 41 columns. Some of these columns have less than half the number of entries as other columns. In the original data set, cells with missing entries have a hyphen (-). This causes problems with a lot of the functions that will be used. For the time being the hyphens will be converted to the value ```NaN```, which preserves the row of information.\n",
    "## Data Cleaning\n",
    "The first steps will be:\n",
    "* Clean and modify column names\n",
    "* Convert to `datetime` data type\n",
    "* Sort the values with oldest first and reset the index\n",
    "* Clean currency columns\n",
    "* Convert exchange rates to floats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/bz/5cj1tzbj5xn319rpqrw6gpmh0000gn/T/ipykernel_4258/1330394742.py:4: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  x_rates.columns = x_rates.columns.str.replace(\"[\",\"\").str.replace(\"]\",\"\")\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>australian_dollar</th>\n",
       "      <th>bulgarian_lev</th>\n",
       "      <th>brazilian_real</th>\n",
       "      <th>canadian_dollar</th>\n",
       "      <th>swiss_franc</th>\n",
       "      <th>chinese_yuan</th>\n",
       "      <th>cypriot_pound</th>\n",
       "      <th>czech_koruna</th>\n",
       "      <th>danish_krone</th>\n",
       "      <th>estonian_kroon</th>\n",
       "      <th>uk_pound</th>\n",
       "      <th>greek_drachma</th>\n",
       "      <th>hong_kong_dollar</th>\n",
       "      <th>croatian_kuna</th>\n",
       "      <th>hungarian_forint</th>\n",
       "      <th>indonesian_rupiah</th>\n",
       "      <th>israeli_shekel</th>\n",
       "      <th>indian_rupee</th>\n",
       "      <th>iceland_krona</th>\n",
       "      <th>japanese_yen</th>\n",
       "      <th>korean_won</th>\n",
       "      <th>lithuanian_litas</th>\n",
       "      <th>latvian_lats</th>\n",
       "      <th>maltese_lira</th>\n",
       "      <th>mexican_peso</th>\n",
       "      <th>malaysian_ringgit</th>\n",
       "      <th>norwegian_krone</th>\n",
       "      <th>new_zealand_dollar</th>\n",
       "      <th>philippine_peso</th>\n",
       "      <th>polish_zloty</th>\n",
       "      <th>romanian_leu</th>\n",
       "      <th>russian_rouble</th>\n",
       "      <th>swedish_krona</th>\n",
       "      <th>singapore_dollar</th>\n",
       "      <th>slovenian_tolar</th>\n",
       "      <th>slovak_koruna</th>\n",
       "      <th>thai_baht</th>\n",
       "      <th>turkish_lira</th>\n",
       "      <th>us_dollar</th>\n",
       "      <th>south_african_rand</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1999-01-04</td>\n",
       "      <td>1.9100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8004</td>\n",
       "      <td>1.6168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>35.1070</td>\n",
       "      <td>7.4501</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7111</td>\n",
       "      <td>327.1500</td>\n",
       "      <td>9.1332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.4800</td>\n",
       "      <td>9,433.6100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.4800</td>\n",
       "      <td>133.7300</td>\n",
       "      <td>1,398.5900</td>\n",
       "      <td>4.7170</td>\n",
       "      <td>0.6668</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.6446</td>\n",
       "      <td>4.4798</td>\n",
       "      <td>8.8550</td>\n",
       "      <td>2.2229</td>\n",
       "      <td>45.5100</td>\n",
       "      <td>4.0712</td>\n",
       "      <td>1.3111</td>\n",
       "      <td>25.2875</td>\n",
       "      <td>9.4696</td>\n",
       "      <td>1.9554</td>\n",
       "      <td>189.0450</td>\n",
       "      <td>42.9910</td>\n",
       "      <td>42.6799</td>\n",
       "      <td>0.3723</td>\n",
       "      <td>1.1789</td>\n",
       "      <td>6.9358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1999-01-05</td>\n",
       "      <td>1.8944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7965</td>\n",
       "      <td>1.6123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>34.9170</td>\n",
       "      <td>7.4495</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7122</td>\n",
       "      <td>324.7000</td>\n",
       "      <td>9.1341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.8000</td>\n",
       "      <td>9,314.5100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5300</td>\n",
       "      <td>130.9600</td>\n",
       "      <td>1,373.0100</td>\n",
       "      <td>4.7174</td>\n",
       "      <td>0.6657</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.5960</td>\n",
       "      <td>4.4805</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>2.2011</td>\n",
       "      <td>44.7450</td>\n",
       "      <td>4.0245</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>26.5876</td>\n",
       "      <td>9.4025</td>\n",
       "      <td>1.9655</td>\n",
       "      <td>188.7750</td>\n",
       "      <td>42.8480</td>\n",
       "      <td>42.5048</td>\n",
       "      <td>0.3728</td>\n",
       "      <td>1.1790</td>\n",
       "      <td>6.7975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1999-01-06</td>\n",
       "      <td>1.8820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7711</td>\n",
       "      <td>1.6116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5820</td>\n",
       "      <td>34.8500</td>\n",
       "      <td>7.4452</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7076</td>\n",
       "      <td>324.7200</td>\n",
       "      <td>9.1010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.6700</td>\n",
       "      <td>9,337.6800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5400</td>\n",
       "      <td>131.4200</td>\n",
       "      <td>1,359.5400</td>\n",
       "      <td>4.6994</td>\n",
       "      <td>0.6649</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>11.4705</td>\n",
       "      <td>4.4637</td>\n",
       "      <td>8.7335</td>\n",
       "      <td>2.1890</td>\n",
       "      <td>44.8720</td>\n",
       "      <td>4.0065</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>27.4315</td>\n",
       "      <td>9.3050</td>\n",
       "      <td>1.9699</td>\n",
       "      <td>188.7000</td>\n",
       "      <td>42.7780</td>\n",
       "      <td>42.6949</td>\n",
       "      <td>0.3722</td>\n",
       "      <td>1.1743</td>\n",
       "      <td>6.7307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1999-01-07</td>\n",
       "      <td>1.8474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7602</td>\n",
       "      <td>1.6165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.8860</td>\n",
       "      <td>7.4431</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7058</td>\n",
       "      <td>324.4000</td>\n",
       "      <td>9.0131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.0900</td>\n",
       "      <td>9,218.7700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0600</td>\n",
       "      <td>129.4300</td>\n",
       "      <td>1,337.1600</td>\n",
       "      <td>4.6548</td>\n",
       "      <td>0.6627</td>\n",
       "      <td>0.4413</td>\n",
       "      <td>11.5511</td>\n",
       "      <td>4.4203</td>\n",
       "      <td>8.6295</td>\n",
       "      <td>2.1531</td>\n",
       "      <td>44.4360</td>\n",
       "      <td>4.0165</td>\n",
       "      <td>1.3092</td>\n",
       "      <td>26.9876</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>1.9436</td>\n",
       "      <td>188.8000</td>\n",
       "      <td>42.7650</td>\n",
       "      <td>42.1678</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>6.8283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1999-01-08</td>\n",
       "      <td>1.8406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7643</td>\n",
       "      <td>1.6138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.9380</td>\n",
       "      <td>7.4433</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7094</td>\n",
       "      <td>324.0000</td>\n",
       "      <td>9.0302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.1500</td>\n",
       "      <td>9,321.6300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.9900</td>\n",
       "      <td>130.0900</td>\n",
       "      <td>1,366.7300</td>\n",
       "      <td>4.6643</td>\n",
       "      <td>0.6654</td>\n",
       "      <td>0.4419</td>\n",
       "      <td>11.4414</td>\n",
       "      <td>4.4295</td>\n",
       "      <td>8.5900</td>\n",
       "      <td>2.1557</td>\n",
       "      <td>44.2950</td>\n",
       "      <td>4.0363</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>27.2075</td>\n",
       "      <td>9.1650</td>\n",
       "      <td>1.9537</td>\n",
       "      <td>188.8400</td>\n",
       "      <td>42.5600</td>\n",
       "      <td>42.5590</td>\n",
       "      <td>0.3718</td>\n",
       "      <td>1.1659</td>\n",
       "      <td>6.7855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     date      australian_dollar   bulgarian_lev  brazilian_real    canadian_dollar        swiss_franc      chinese_yuan     cypriot_pound        czech_koruna         danish_krone        estonian_kroon          uk_pound           greek_drachma      hong_kong_dollar    croatian_kuna   hungarian_forint     indonesian_rupiah   israeli_shekel  indian_rupee     iceland_krona        japanese_yen          korean_won        lithuanian_litas       latvian_lats         maltese_lira         mexican_peso       malaysian_ringgit     norwegian_krone    new_zealand_dollar     philippine_peso       polish_zloty         romanian_leu        russian_rouble        swedish_krona      singapore_dollar      slovenian_tolar       slovak_koruna          thai_baht          turkish_lira           us_dollar       south_african_rand \n",
       "0 1999-01-04               1.9100      NaN             NaN                     1.8004               1.6168      NaN                    0.5823              35.1070               7.4501              15.6466               0.7111             327.1500               9.1332      NaN                   251.4800           9,433.6100       NaN            NaN                   81.4800             133.7300           1,398.5900               4.7170               0.6668               0.4432              11.6446               4.4798               8.8550               2.2229              45.5100               4.0712               1.3111              25.2875               9.4696               1.9554             189.0450              42.9910              42.6799               0.3723               1.1789               6.9358\n",
       "1 1999-01-05               1.8944      NaN             NaN                     1.7965               1.6123      NaN                    0.5823              34.9170               7.4495              15.6466               0.7122             324.7000               9.1341      NaN                   250.8000           9,314.5100       NaN            NaN                   81.5300             130.9600           1,373.0100               4.7174               0.6657               0.4432              11.5960               4.4805               8.7745               2.2011              44.7450               4.0245               1.3168              26.5876               9.4025               1.9655             188.7750              42.8480              42.5048               0.3728               1.1790               6.7975\n",
       "2 1999-01-06               1.8820      NaN             NaN                     1.7711               1.6116      NaN                    0.5820              34.8500               7.4452              15.6466               0.7076             324.7200               9.1010      NaN                   250.6700           9,337.6800       NaN            NaN                   81.5400             131.4200           1,359.5400               4.6994               0.6649               0.4420              11.4705               4.4637               8.7335               2.1890              44.8720               4.0065               1.3168              27.4315               9.3050               1.9699             188.7000              42.7780              42.6949               0.3722               1.1743               6.7307\n",
       "3 1999-01-07               1.8474      NaN             NaN                     1.7602               1.6165      NaN                    0.5819              34.8860               7.4431              15.6466               0.7058             324.4000               9.0131      NaN                   250.0900           9,218.7700       NaN            NaN                   81.0600             129.4300           1,337.1600               4.6548               0.6627               0.4413              11.5511               4.4203               8.6295               2.1531              44.4360               4.0165               1.3092              26.9876               9.1800               1.9436             188.8000              42.7650              42.1678               0.3701               1.1632               6.8283\n",
       "4 1999-01-08               1.8406      NaN             NaN                     1.7643               1.6138      NaN                    0.5819              34.9380               7.4433              15.6466               0.7094             324.0000               9.0302      NaN                   250.1500           9,321.6300       NaN            NaN                   80.9900             130.0900           1,366.7300               4.6643               0.6654               0.4419              11.4414               4.4295               8.5900               2.1557              44.2950               4.0363               1.3143              27.2075               9.1650               1.9537             188.8400              42.5600              42.5590               0.3718               1.1659               6.7855"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# strip brackets and trailing space from country names\n",
    "# replace remaining space with underscore\n",
    "# lower case all column names\n",
    "x_rates.columns = x_rates.columns.str.replace(\"[\",\"\").str.replace(\"]\",\"\")\n",
    "x_rates.columns = x_rates.columns.str.rstrip()\n",
    "x_rates.columns = x_rates.columns.str.replace(\" \",\"_\")\n",
    "x_rates.columns = x_rates.columns.str.lower()\n",
    "\n",
    "# rename columns\n",
    "x_rates.rename(columns={\"period\\\\unit:\":\"date\",\n",
    "                        \"chinese_yuan_renminbi\":\"chinese_yuan\",\n",
    "                        \"uk_pound_sterling\":\"uk_pound\"}, inplace=True)\n",
    "\n",
    "# convert datetime\n",
    "x_rates[\"date\"] = pd.to_datetime(x_rates[\"date\"])\n",
    "\n",
    "# resort and reindex\n",
    "x_rates.sort_values(\"date\", inplace=True)\n",
    "x_rates.reset_index(drop=True, inplace=True)\n",
    "\n",
    "# convert hyphens in currency columns to NaN\n",
    "import numpy as np\n",
    "x_rates = x_rates.replace(\"-\", np.nan)\n",
    "\n",
    "# convert exchange rate values to float\n",
    "x_rates.iloc[:,1:] = x_rates.iloc[:,1:].astype(float)\n",
    "\n",
    "# set style for cells with centered output\n",
    "from IPython.core.display import HTML\n",
    "HTML(\"\"\"\n",
    "<style>\n",
    ".output_png {\n",
    "    display: table-cell;\n",
    "    text-align: center;\n",
    "    vertical-align: middle;\n",
    "}\n",
    "</style>\n",
    "\"\"\")\n",
    "\n",
    "# x_rates head\n",
    "display(x_rates.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dollar to Euro\n",
    "The change over time in Euro exchange rate can be visualized in a line graph. The US dollar is the first currency to be examined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x270 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a us dollar to euro dataframe and add 30 day rolling mean column\n",
    "us_dollar = x_rates[[\"date\",\"us_dollar\"]].copy()\n",
    "us_dollar[\"rolling_mean_30\"] = us_dollar[\"us_dollar\"].rolling(30).mean()\n",
    "\n",
    "# line graph for dollar to euro exchange rate\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "%matplotlib inline\n",
    "years = mdates.YearLocator() # every year\n",
    "years_fmt = mdates.DateFormatter('%Y')\n",
    "# ticks = [2000,2005,2010,2015,2020]\n",
    "fig, ax = plt.subplots(figsize=(10,3.75))\n",
    "ax.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax.xaxis.set_major_locator(years) # format the ticks\n",
    "ax.xaxis.set_major_formatter(years_fmt)\n",
    "fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "ax.xaxis.set_major_locator(fmt_three_years)\n",
    "# num_ticks = 5 \n",
    "# plt.xticks(range(0, len(us_dollar[\"date\"].sort_values().unique()), num_ticks),\n",
    "#            us_dollar[\"date\"].sort_values().unique()[::num_ticks], rotation = 0)\n",
    "ax.set(xlabel=\"Year\",\n",
    "       ylabel=\"US dollar\",\n",
    "       title=\"US Dollar to Euro Exhcange Rates\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Euro to Dollar Continued\n",
    "The line graph shows that the exchange rate between the Euro and US dollar is pretty variable. There are also a lot of gaps in the graph. These represent points in the data frame where information for a particular day is missing. This is the most accurate representation of the data, but it's not very easy to look at. A quick visual check can illustrate this overlap and then compare the original data frame with one where the missing dates are removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x540 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x540 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create nan group and get dates\n",
    "nan_dollar_group = us_dollar[us_dollar[\"us_dollar\"].isnull()]\n",
    "nan_days = nan_dollar_group[\"date\"]\n",
    "\n",
    "# line graph showing dollar to euro showing NaN values with and without highlight\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(10,7.5))\n",
    "for ax in ax1,ax2:\n",
    "    ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "    fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "    ax.xaxis.set_major_locator(fmt_three_years)\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "ax1.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax1.set(title=\"dataset w/ NaN values\")\n",
    "ax2.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax2.set(title=\"dataset w/ corresponding dates in light blue\")\n",
    "for xc in nan_days:\n",
    "    plt.axvline(x=xc, color=\"lightcyan\")\n",
    "fig.suptitle(\"US dollar to Euro exchange rates\", fontsize=20)\n",
    "fig.tight_layout(pad=3.0)\n",
    "plt.show()\n",
    "\n",
    "# create a dollar to euro dataframe with NaN dates removed\n",
    "US_dollar_nonull = x_rates[x_rates[\"us_dollar\"].notna()].copy()\n",
    "US_dollar_nonull[\"rolling_mean_30\"] = US_dollar_nonull[\"us_dollar\"].rolling(30).mean()\n",
    "\n",
    "# line graph showing 30 day rolling mean with and without NaN rows\n",
    "fig, (ax1, ax2) = plt.subplots(nrows=2, ncols=1, figsize=(10,7.5))\n",
    "for ax in ax1,ax2:\n",
    "    ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "    fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "    ax.xaxis.set_major_locator(fmt_three_years)\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "ax1.plot(us_dollar[\"date\"], us_dollar[\"rolling_mean_30\"])\n",
    "ax1.set(title=\"NaN rows included\")\n",
    "ax2.plot(US_dollar_nonull[\"date\"], US_dollar_nonull[\"rolling_mean_30\"])\n",
    "ax2.set(title=\"NaN rows removed\")\n",
    "fig.suptitle(\"US dollar to Euro exchange rates\", fontsize=20)\n",
    "fig.tight_layout(pad=3.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Euro to Dollar Conclusion\n",
    "The third graph shows vertical blue stripes for all dates with missing information. These correspond perfectly with the gaps in the original chart. The final chart, with these rows removed, appears to be good match and is easier to look at. This also demonstrates how the rolling mean handles NaN values within a data frame. In either case the shape of the line is identical where the information exists, therefor both are similarly accurate represenations of the availalble data. All further currency data frames will be handled the same.\n",
    "\n",
    "## Euro & Traded Pairs\n",
    "### Euro to Highly Traded Currencies\n",
    "The line graphs represent the exchange rates for the Euro to the US dollar, Japanese yen, UK pound, and Australian dollar. These four currencies, in addition to the Euro, are the top five currenceis in the Forex market. All five together comprise over 75% of daily trades (4).\n",
    "### Euro to Least Traded Currencies\n",
    "The line graphs represent the exchange rates for the Euro to the Israeli shekel, Philippine peso, Malaysian ringgit, and Romanian leu. These four currencies have low trade volumes, they comprise less than 0.4% of daily trades (4)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# building the rolling 30 mean into the data frame\n",
    "mean_rates = x_rates.rolling(30).mean()\n",
    "mean_rates = mean_rates.add_suffix(\"_rolling_30\")\n",
    "new_frame = pd.concat([x_rates, mean_rates], axis=1)\n",
    "new_frame = new_frame[[item for items in zip(x_rates.columns, mean_rates.columns) for item in items]]\n",
    "# display(new_frame.head())\n",
    "# # how do I get the currency columns before the rolling mean column\n",
    "\n",
    "# function to build data frame for Euro to other half of trading pair\n",
    "# this one uses new_frame, which has the 30 day rolling mean incorporated, and then removes the NaN dates\n",
    "framer_list = []\n",
    "\n",
    "def framer(col):\n",
    "    framer_list.append(col)\n",
    "    col_names = [\"date\", (str(col)), (str(col)+\"_rolling_30\")]\n",
    "    df = pd.DataFrame(columns=col_names)\n",
    "    df.iloc[:,0] = new_frame[\"date\"]\n",
    "    df.iloc[:,1] = new_frame[col]\n",
    "    df.iloc[:,2] = new_frame[(str(col)+\"_rolling_30\")]\n",
    "    df = df[df.iloc[:,2].notna()]\n",
    "    return df\n",
    "\n",
    "# australian_dollar = framer(\"australian_dollar\")\n",
    "# display(australian_dollar.head())\n",
    "# print(framer_list)\n",
    "# plt.plot(australian_dollar[\"date\"], australian_dollar[\"australian_dollar_rolling_30\"])\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# function to build data frame for Euro to other half of trading pair\n",
    "# this one uses x_rates, removes the NaN values, and then adds a rolling 30 mean\n",
    "xchange_list = []\n",
    "\n",
    "def xchange(col):\n",
    "    xchange_list.append(col)\n",
    "    df = x_rates[[\"date\",col]].copy()\n",
    "    df = df[df[col].notna()]\n",
    "    df[\"rolling_mean_30\"] = df[col].rolling(30).mean()\n",
    "    return df\n",
    "\n",
    "# canadian_dollar = xchange(\"canadian_dollar\")\n",
    "# display(canadian_dollar.head())\n",
    "# print(xchange_list)\n",
    "# plt.plot(canadian_dollar[\"date\"], canadian_dollar[\"rolling_mean_30\"])\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# is there a way to apply either function to all the columns in x_rates?\n",
    "# one drawback could be having 42 data frames\n",
    "    \n",
    "# calling xchange function on four highly traded currencies\n",
    "us_dollar = xchange(\"us_dollar\")\n",
    "japanese_yen = xchange(\"japanese_yen\")\n",
    "uk_pound = xchange(\"uk_pound\")\n",
    "australian_dollar = xchange(\"australian_dollar\")\n",
    "\n",
    "# calling xchange function on four least traded currencies\n",
    "israeli_shekel = xchange(\"israeli_shekel\")\n",
    "philippine_peso = xchange(\"philippine_peso\")\n",
    "malaysian_ringgit = xchange(\"malaysian_ringgit\")\n",
    "romanian_leu = xchange(\"romanian_leu\")\n",
    "\n",
    "# it would be cool to convert or use xchange_list for this but I can't get the string off\n",
    "c_list = [us_dollar, japanese_yen, uk_pound, australian_dollar,\n",
    "          israeli_shekel, philippine_peso, malaysian_ringgit, romanian_leu]\n",
    "\n",
    "# line graph showing Euro to each high frequency trading pairs\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "fig.tight_layout(pad=3)\n",
    "for ax in ax1, ax2, ax3, ax4:\n",
    "    ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "    fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "    ax.xaxis.set_major_locator(fmt_three_years)\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "for ax, currency in zip((ax1, ax2, ax3, ax4), c_list[:5]):\n",
    "    ax.plot(currency[\"date\"], currency[\"rolling_mean_30\"])\n",
    "#   ax.set_ylabel(str(currency)) # why not, i can get it to change to a string \"currency\", but not a variable\n",
    "ax1.set(ylabel=\"US dollar\")\n",
    "ax2.set(ylabel=\"Japanese yen\")\n",
    "ax3.set(ylabel=\"UK pound\")\n",
    "ax4.set(ylabel=\"Australian dollar\")\n",
    "fig.suptitle(\"Euro to High Frequency Pairs\", fontsize=20)\n",
    "plt.show()\n",
    "\n",
    "# line graph showing Euro to each low frequency trading pairs\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows=2, ncols=2, figsize=(12,8))\n",
    "fig.tight_layout(pad=3)\n",
    "for ax in ax1, ax2, ax3, ax4:\n",
    "    ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "    fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "    ax.xaxis.set_major_locator(fmt_three_years)\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "for ax, currency in zip((ax1, ax2, ax3, ax4), c_list[4:]):\n",
    "    ax.plot(currency[\"date\"], currency[\"rolling_mean_30\"])\n",
    "#   ax.set_ylabel(str(currency)) # why not, i can get it to change to a string \"currency\", but not a variable\n",
    "ax1.set(ylabel=\"Israeli shekel\")\n",
    "ax2.set(ylabel=\"Philippine peso\")\n",
    "ax3.set(ylabel=\"Malaysian ringgit\")\n",
    "ax4.set(ylabel=\"Romanian leu\")\n",
    "fig.suptitle(\"Euro to Low Frequency Pairs\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Euro to Traded Pairs Conclusion\n",
    "\n",
    "### High Frequency Pairs\n",
    "* The US dollar, Japanese yen, and UK pound all show a tight ratio with the Euro in the early 2000s.\n",
    "* Both the Japanese yen and Australian dollar show similar trade ratios in late 2011.\n",
    "### Low Frequency Pairs\n",
    "* The Israeli shekel appears to have increased in value and the Romanian leu is definitely loosing value.\n",
    "* The shekel and leu appear to be fairly stable, or have low volatility.\n",
    "* The Israeli shekel and Malaysian ringgit also show the tight ratio of the early 2000s. This is seen to a lesser extent in the Phillipine pese\n",
    "\n",
    "## The early struggle\n",
    "An overlay of all currencies focused on the first decade of the Euro shows it's initial struggle and eventual success."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_values1 = us_dollar[\"date\"]\n",
    "y_values1 = us_dollar[\"rolling_mean_30\"]\n",
    "\n",
    "x_values2 = japanese_yen[\"date\"]\n",
    "y_values2 = japanese_yen[\"rolling_mean_30\"]\n",
    "\n",
    "x_values3 = uk_pound[\"date\"]\n",
    "y_values3 = uk_pound[\"rolling_mean_30\"]\n",
    "\n",
    "# x_values4 = uk_pound[\"date\"]\n",
    "# y_values4 = uk_pound[\"rolling_mean_30\"]\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, label = \"1\")\n",
    "ax2 = fig.add_subplot(111, label = \"2\", frame_on = False)\n",
    "ax3 = fig.add_subplot(111, label = \"3\", frame_on = False)\n",
    "for ax in ax, ax2, ax3:\n",
    "    ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "    ax.xaxis.set_major_formatter(years_fmt)\n",
    "    fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "    ax.xaxis.set_major_locator(fmt_three_years)\n",
    "    ax.set(yticks=[],\n",
    "           xlabel=\"Year\")\n",
    "#     ax.set_xlim(right=2009)\n",
    "\n",
    "ax.plot(x_values1, y_values1, color = \"blue\")\n",
    "\n",
    "ax.set_yticks([])\n",
    "# ax.set_xlabel(\"x label 1\", color = \"C0\")\n",
    "# ax.set_ylabel(\"y label 1\", color = \"C0\")\n",
    "# ax.tick_params(axis = 'x', colors = \"C0\")\n",
    "# ax.tick_params(axis = 'y', colors = \"C0\")\n",
    "\n",
    "ax2.plot(x_values2, y_values2, color = \"green\")\n",
    "\n",
    "ax2.set_yticks([])\n",
    "# ax2.xaxis.tick_top()\n",
    "# ax2.yaxis.tick_right()\n",
    "# ax2.set_xlabel('x label 2', color = \"C1\")\n",
    "# ax2.set_ylabel('y label 2', color = \"C1\")\n",
    "# ax2.xaxis.set_label_position('top')\n",
    "# ax2.yaxis.set_label_position('right')\n",
    "# ax2.tick_params(axis = 'x', colors = \"C1\")\n",
    "# ax2.tick_params(axis = 'y', colors = \"C1\")\n",
    "\n",
    "ax3.plot(x_values3, y_values3, color = \"yellow\")\n",
    "ax3.set_yticks([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# [us_dollar, japanese_yen, uk_pound, australian_dollar,\n",
    "#  israeli_shekel, philippine_peso, malaysian_ringgit, romanian_leu]\n",
    "\n",
    "for country in c_list:\n",
    "    plt.plot(country[\"date\"],country[\"rolling_mean_30\"])\n",
    "\n",
    "# plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>australian_dollar</th>\n",
       "      <th>bulgarian_lev</th>\n",
       "      <th>brazilian_real</th>\n",
       "      <th>canadian_dollar</th>\n",
       "      <th>swiss_franc</th>\n",
       "      <th>chinese_yuan</th>\n",
       "      <th>cypriot_pound</th>\n",
       "      <th>czech_koruna</th>\n",
       "      <th>danish_krone</th>\n",
       "      <th>estonian_kroon</th>\n",
       "      <th>uk_pound</th>\n",
       "      <th>greek_drachma</th>\n",
       "      <th>hong_kong_dollar</th>\n",
       "      <th>croatian_kuna</th>\n",
       "      <th>hungarian_forint</th>\n",
       "      <th>indonesian_rupiah</th>\n",
       "      <th>israeli_shekel</th>\n",
       "      <th>indian_rupee</th>\n",
       "      <th>iceland_krona</th>\n",
       "      <th>japanese_yen</th>\n",
       "      <th>korean_won</th>\n",
       "      <th>lithuanian_litas</th>\n",
       "      <th>latvian_lats</th>\n",
       "      <th>maltese_lira</th>\n",
       "      <th>mexican_peso</th>\n",
       "      <th>malaysian_ringgit</th>\n",
       "      <th>norwegian_krone</th>\n",
       "      <th>new_zealand_dollar</th>\n",
       "      <th>philippine_peso</th>\n",
       "      <th>polish_zloty</th>\n",
       "      <th>romanian_leu</th>\n",
       "      <th>russian_rouble</th>\n",
       "      <th>swedish_krona</th>\n",
       "      <th>singapore_dollar</th>\n",
       "      <th>slovenian_tolar</th>\n",
       "      <th>slovak_koruna</th>\n",
       "      <th>thai_baht</th>\n",
       "      <th>turkish_lira</th>\n",
       "      <th>us_dollar</th>\n",
       "      <th>south_african_rand</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1999-01-04</td>\n",
       "      <td>1.9100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.8004</td>\n",
       "      <td>1.6168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>35.1070</td>\n",
       "      <td>7.4501</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7111</td>\n",
       "      <td>327.1500</td>\n",
       "      <td>9.1332</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.4800</td>\n",
       "      <td>9,433.6100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.4800</td>\n",
       "      <td>133.7300</td>\n",
       "      <td>1,398.5900</td>\n",
       "      <td>4.7170</td>\n",
       "      <td>0.6668</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.6446</td>\n",
       "      <td>4.4798</td>\n",
       "      <td>8.8550</td>\n",
       "      <td>2.2229</td>\n",
       "      <td>45.5100</td>\n",
       "      <td>4.0712</td>\n",
       "      <td>1.3111</td>\n",
       "      <td>25.2875</td>\n",
       "      <td>9.4696</td>\n",
       "      <td>1.9554</td>\n",
       "      <td>189.0450</td>\n",
       "      <td>42.9910</td>\n",
       "      <td>42.6799</td>\n",
       "      <td>0.3723</td>\n",
       "      <td>1.1789</td>\n",
       "      <td>6.9358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1999-01-05</td>\n",
       "      <td>1.8944</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7965</td>\n",
       "      <td>1.6123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5823</td>\n",
       "      <td>34.9170</td>\n",
       "      <td>7.4495</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7122</td>\n",
       "      <td>324.7000</td>\n",
       "      <td>9.1341</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.8000</td>\n",
       "      <td>9,314.5100</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5300</td>\n",
       "      <td>130.9600</td>\n",
       "      <td>1,373.0100</td>\n",
       "      <td>4.7174</td>\n",
       "      <td>0.6657</td>\n",
       "      <td>0.4432</td>\n",
       "      <td>11.5960</td>\n",
       "      <td>4.4805</td>\n",
       "      <td>8.7745</td>\n",
       "      <td>2.2011</td>\n",
       "      <td>44.7450</td>\n",
       "      <td>4.0245</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>26.5876</td>\n",
       "      <td>9.4025</td>\n",
       "      <td>1.9655</td>\n",
       "      <td>188.7750</td>\n",
       "      <td>42.8480</td>\n",
       "      <td>42.5048</td>\n",
       "      <td>0.3728</td>\n",
       "      <td>1.1790</td>\n",
       "      <td>6.7975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1999-01-06</td>\n",
       "      <td>1.8820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7711</td>\n",
       "      <td>1.6116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5820</td>\n",
       "      <td>34.8500</td>\n",
       "      <td>7.4452</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7076</td>\n",
       "      <td>324.7200</td>\n",
       "      <td>9.1010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.6700</td>\n",
       "      <td>9,337.6800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.5400</td>\n",
       "      <td>131.4200</td>\n",
       "      <td>1,359.5400</td>\n",
       "      <td>4.6994</td>\n",
       "      <td>0.6649</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>11.4705</td>\n",
       "      <td>4.4637</td>\n",
       "      <td>8.7335</td>\n",
       "      <td>2.1890</td>\n",
       "      <td>44.8720</td>\n",
       "      <td>4.0065</td>\n",
       "      <td>1.3168</td>\n",
       "      <td>27.4315</td>\n",
       "      <td>9.3050</td>\n",
       "      <td>1.9699</td>\n",
       "      <td>188.7000</td>\n",
       "      <td>42.7780</td>\n",
       "      <td>42.6949</td>\n",
       "      <td>0.3722</td>\n",
       "      <td>1.1743</td>\n",
       "      <td>6.7307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1999-01-07</td>\n",
       "      <td>1.8474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7602</td>\n",
       "      <td>1.6165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.8860</td>\n",
       "      <td>7.4431</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7058</td>\n",
       "      <td>324.4000</td>\n",
       "      <td>9.0131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.0900</td>\n",
       "      <td>9,218.7700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0600</td>\n",
       "      <td>129.4300</td>\n",
       "      <td>1,337.1600</td>\n",
       "      <td>4.6548</td>\n",
       "      <td>0.6627</td>\n",
       "      <td>0.4413</td>\n",
       "      <td>11.5511</td>\n",
       "      <td>4.4203</td>\n",
       "      <td>8.6295</td>\n",
       "      <td>2.1531</td>\n",
       "      <td>44.4360</td>\n",
       "      <td>4.0165</td>\n",
       "      <td>1.3092</td>\n",
       "      <td>26.9876</td>\n",
       "      <td>9.1800</td>\n",
       "      <td>1.9436</td>\n",
       "      <td>188.8000</td>\n",
       "      <td>42.7650</td>\n",
       "      <td>42.1678</td>\n",
       "      <td>0.3701</td>\n",
       "      <td>1.1632</td>\n",
       "      <td>6.8283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1999-01-08</td>\n",
       "      <td>1.8406</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.7643</td>\n",
       "      <td>1.6138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.5819</td>\n",
       "      <td>34.9380</td>\n",
       "      <td>7.4433</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.7094</td>\n",
       "      <td>324.0000</td>\n",
       "      <td>9.0302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.1500</td>\n",
       "      <td>9,321.6300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.9900</td>\n",
       "      <td>130.0900</td>\n",
       "      <td>1,366.7300</td>\n",
       "      <td>4.6643</td>\n",
       "      <td>0.6654</td>\n",
       "      <td>0.4419</td>\n",
       "      <td>11.4414</td>\n",
       "      <td>4.4295</td>\n",
       "      <td>8.5900</td>\n",
       "      <td>2.1557</td>\n",
       "      <td>44.2950</td>\n",
       "      <td>4.0363</td>\n",
       "      <td>1.3143</td>\n",
       "      <td>27.2075</td>\n",
       "      <td>9.1650</td>\n",
       "      <td>1.9537</td>\n",
       "      <td>188.8400</td>\n",
       "      <td>42.5600</td>\n",
       "      <td>42.5590</td>\n",
       "      <td>0.3718</td>\n",
       "      <td>1.1659</td>\n",
       "      <td>6.7855</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     date      australian_dollar   bulgarian_lev  brazilian_real    canadian_dollar        swiss_franc      chinese_yuan     cypriot_pound        czech_koruna         danish_krone        estonian_kroon          uk_pound           greek_drachma      hong_kong_dollar    croatian_kuna   hungarian_forint     indonesian_rupiah   israeli_shekel  indian_rupee     iceland_krona        japanese_yen          korean_won        lithuanian_litas       latvian_lats         maltese_lira         mexican_peso       malaysian_ringgit     norwegian_krone    new_zealand_dollar     philippine_peso       polish_zloty         romanian_leu        russian_rouble        swedish_krona      singapore_dollar      slovenian_tolar       slovak_koruna          thai_baht          turkish_lira           us_dollar       south_african_rand \n",
       "0 1999-01-04               1.9100      NaN             NaN                     1.8004               1.6168      NaN                    0.5823              35.1070               7.4501              15.6466               0.7111             327.1500               9.1332      NaN                   251.4800           9,433.6100       NaN            NaN                   81.4800             133.7300           1,398.5900               4.7170               0.6668               0.4432              11.6446               4.4798               8.8550               2.2229              45.5100               4.0712               1.3111              25.2875               9.4696               1.9554             189.0450              42.9910              42.6799               0.3723               1.1789               6.9358\n",
       "1 1999-01-05               1.8944      NaN             NaN                     1.7965               1.6123      NaN                    0.5823              34.9170               7.4495              15.6466               0.7122             324.7000               9.1341      NaN                   250.8000           9,314.5100       NaN            NaN                   81.5300             130.9600           1,373.0100               4.7174               0.6657               0.4432              11.5960               4.4805               8.7745               2.2011              44.7450               4.0245               1.3168              26.5876               9.4025               1.9655             188.7750              42.8480              42.5048               0.3728               1.1790               6.7975\n",
       "2 1999-01-06               1.8820      NaN             NaN                     1.7711               1.6116      NaN                    0.5820              34.8500               7.4452              15.6466               0.7076             324.7200               9.1010      NaN                   250.6700           9,337.6800       NaN            NaN                   81.5400             131.4200           1,359.5400               4.6994               0.6649               0.4420              11.4705               4.4637               8.7335               2.1890              44.8720               4.0065               1.3168              27.4315               9.3050               1.9699             188.7000              42.7780              42.6949               0.3722               1.1743               6.7307\n",
       "3 1999-01-07               1.8474      NaN             NaN                     1.7602               1.6165      NaN                    0.5819              34.8860               7.4431              15.6466               0.7058             324.4000               9.0131      NaN                   250.0900           9,218.7700       NaN            NaN                   81.0600             129.4300           1,337.1600               4.6548               0.6627               0.4413              11.5511               4.4203               8.6295               2.1531              44.4360               4.0165               1.3092              26.9876               9.1800               1.9436             188.8000              42.7650              42.1678               0.3701               1.1632               6.8283\n",
       "4 1999-01-08               1.8406      NaN             NaN                     1.7643               1.6138      NaN                    0.5819              34.9380               7.4433              15.6466               0.7094             324.0000               9.0302      NaN                   250.1500           9,321.6300       NaN            NaN                   80.9900             130.0900           1,366.7300               4.6643               0.6654               0.4419              11.4414               4.4295               8.5900               2.1557              44.2950               4.0363               1.3143              27.2075               9.1650               1.9537             188.8400              42.5600              42.5590               0.3718               1.1659               6.7855"
      ]
     },
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    },
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>australian_dollar</th>\n",
       "      <th>bulgarian_lev</th>\n",
       "      <th>brazilian_real</th>\n",
       "      <th>canadian_dollar</th>\n",
       "      <th>swiss_franc</th>\n",
       "      <th>chinese_yuan</th>\n",
       "      <th>cypriot_pound</th>\n",
       "      <th>czech_koruna</th>\n",
       "      <th>danish_krone</th>\n",
       "      <th>estonian_kroon</th>\n",
       "      <th>uk_pound</th>\n",
       "      <th>greek_drachma</th>\n",
       "      <th>hong_kong_dollar</th>\n",
       "      <th>croatian_kuna</th>\n",
       "      <th>hungarian_forint</th>\n",
       "      <th>indonesian_rupiah</th>\n",
       "      <th>israeli_shekel</th>\n",
       "      <th>indian_rupee</th>\n",
       "      <th>iceland_krona</th>\n",
       "      <th>japanese_yen</th>\n",
       "      <th>korean_won</th>\n",
       "      <th>lithuanian_litas</th>\n",
       "      <th>latvian_lats</th>\n",
       "      <th>maltese_lira</th>\n",
       "      <th>mexican_peso</th>\n",
       "      <th>malaysian_ringgit</th>\n",
       "      <th>norwegian_krone</th>\n",
       "      <th>new_zealand_dollar</th>\n",
       "      <th>philippine_peso</th>\n",
       "      <th>polish_zloty</th>\n",
       "      <th>romanian_leu</th>\n",
       "      <th>russian_rouble</th>\n",
       "      <th>swedish_krona</th>\n",
       "      <th>singapore_dollar</th>\n",
       "      <th>slovenian_tolar</th>\n",
       "      <th>slovak_koruna</th>\n",
       "      <th>thai_baht</th>\n",
       "      <th>turkish_lira</th>\n",
       "      <th>us_dollar</th>\n",
       "      <th>south_african_rand</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2603</th>\n",
       "      <td>2008-12-25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2604</th>\n",
       "      <td>2008-12-26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2605</th>\n",
       "      <td>2008-12-29</td>\n",
       "      <td>2.0595</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>3.3777</td>\n",
       "      <td>1.7408</td>\n",
       "      <td>1.4931</td>\n",
       "      <td>9.7788</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.4550</td>\n",
       "      <td>7.4503</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9786</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0599</td>\n",
       "      <td>7.3438</td>\n",
       "      <td>266.6400</td>\n",
       "      <td>15,839.7000</td>\n",
       "      <td>5.4998</td>\n",
       "      <td>68.6360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.9800</td>\n",
       "      <td>1,828.4900</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.1860</td>\n",
       "      <td>4.9660</td>\n",
       "      <td>9.9450</td>\n",
       "      <td>2.4559</td>\n",
       "      <td>67.7400</td>\n",
       "      <td>4.1400</td>\n",
       "      <td>4.0649</td>\n",
       "      <td>41.6925</td>\n",
       "      <td>10.9795</td>\n",
       "      <td>2.0532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.1700</td>\n",
       "      <td>49.9380</td>\n",
       "      <td>2.1628</td>\n",
       "      <td>1.4270</td>\n",
       "      <td>13.6136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2606</th>\n",
       "      <td>2008-12-30</td>\n",
       "      <td>2.0435</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>3.3127</td>\n",
       "      <td>1.7331</td>\n",
       "      <td>1.4963</td>\n",
       "      <td>9.6364</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.6300</td>\n",
       "      <td>7.4506</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.9261</td>\n",
       "      <td>7.3348</td>\n",
       "      <td>266.3300</td>\n",
       "      <td>15,507.8000</td>\n",
       "      <td>5.3021</td>\n",
       "      <td>67.8530</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.4000</td>\n",
       "      <td>1,902.4300</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7079</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.3143</td>\n",
       "      <td>4.9040</td>\n",
       "      <td>9.8400</td>\n",
       "      <td>2.4448</td>\n",
       "      <td>67.0400</td>\n",
       "      <td>4.1465</td>\n",
       "      <td>4.0202</td>\n",
       "      <td>41.4035</td>\n",
       "      <td>10.9500</td>\n",
       "      <td>2.0325</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.1450</td>\n",
       "      <td>48.9980</td>\n",
       "      <td>2.1606</td>\n",
       "      <td>1.4098</td>\n",
       "      <td>13.3931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2607</th>\n",
       "      <td>2008-12-31</td>\n",
       "      <td>2.0274</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>3.2436</td>\n",
       "      <td>1.6998</td>\n",
       "      <td>1.4850</td>\n",
       "      <td>9.4956</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.8750</td>\n",
       "      <td>7.4506</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.7858</td>\n",
       "      <td>7.3555</td>\n",
       "      <td>266.7000</td>\n",
       "      <td>15,239.1200</td>\n",
       "      <td>5.2919</td>\n",
       "      <td>67.4370</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.1400</td>\n",
       "      <td>1,839.1300</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.2333</td>\n",
       "      <td>4.8048</td>\n",
       "      <td>9.7500</td>\n",
       "      <td>2.4191</td>\n",
       "      <td>65.9300</td>\n",
       "      <td>4.1535</td>\n",
       "      <td>4.0225</td>\n",
       "      <td>41.2830</td>\n",
       "      <td>10.8700</td>\n",
       "      <td>2.0040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.1260</td>\n",
       "      <td>48.2850</td>\n",
       "      <td>2.1488</td>\n",
       "      <td>1.3917</td>\n",
       "      <td>13.0667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date      australian_dollar      bulgarian_lev       brazilian_real       canadian_dollar        swiss_franc         chinese_yuan      cypriot_pound     czech_koruna         danish_krone        estonian_kroon          uk_pound        greek_drachma   hong_kong_dollar       croatian_kuna      hungarian_forint     indonesian_rupiah     israeli_shekel        indian_rupee      iceland_krona     japanese_yen          korean_won        lithuanian_litas       latvian_lats      maltese_lira     mexican_peso       malaysian_ringgit     norwegian_krone    new_zealand_dollar     philippine_peso       polish_zloty         romanian_leu        russian_rouble        swedish_krona      singapore_dollar    slovenian_tolar     slovak_koruna          thai_baht          turkish_lira           us_dollar       south_african_rand \n",
       "2603 2008-12-25                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                       NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN       NaN                         NaN                  NaN                  NaN                  NaN                  NaN\n",
       "2604 2008-12-26                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                       NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN       NaN                         NaN                  NaN                  NaN                  NaN                  NaN\n",
       "2605 2008-12-29               2.0595               1.9558               3.3777               1.7408               1.4931               9.7788      NaN                    26.4550               7.4503              15.6466               0.9786      NaN                    11.0599               7.3438             266.6400          15,839.7000               5.4998              68.6360      NaN                   128.9800           1,828.4900               3.4528               0.7061      NaN                   19.1860               4.9660               9.9450               2.4559              67.7400               4.1400               4.0649              41.6925              10.9795               2.0532       NaN                     30.1700              49.9380               2.1628               1.4270              13.6136\n",
       "2606 2008-12-30               2.0435               1.9558               3.3127               1.7331               1.4963               9.6364      NaN                    26.6300               7.4506              15.6466               0.9742      NaN                    10.9261               7.3348             266.3300          15,507.8000               5.3021              67.8530      NaN                   127.4000           1,902.4300               3.4528               0.7079      NaN                   19.3143               4.9040               9.8400               2.4448              67.0400               4.1465               4.0202              41.4035              10.9500               2.0325       NaN                     30.1450              48.9980               2.1606               1.4098              13.3931\n",
       "2607 2008-12-31               2.0274               1.9558               3.2436               1.6998               1.4850               9.4956      NaN                    26.8750               7.4506              15.6466               0.9525      NaN                    10.7858               7.3555             266.7000          15,239.1200               5.2919              67.4370      NaN                   126.1400           1,839.1300               3.4528               0.7083      NaN                   19.2333               4.8048               9.7500               2.4191              65.9300               4.1535               4.0225              41.2830              10.8700               2.0040       NaN                     30.1260              48.2850               2.1488               1.3917              13.0667"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "first_decade = x_rates[x_rates[\"date\"].dt.year < 2009]\n",
    "display(first_decade.head())\n",
    "display(first_decade.tail())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Late 2011\n",
    "An overlay of the Japanese yen and Australian dollar will show if the changes in 2011 are concurrent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wGAwGg2HAMQLEYDAYDAbDgGMEiMFgMBgMhgHHCBCDwWAwGAwDjhEgBoPBYDAYBhwjQAwGg8FgMAw4RoAYDAaDwWAYcIwAMRgMBoPBMOAYAWIwGAwGg2HAMQLEYDAYDAbDgGMEiMFgMBgMhgEnLBA7DQkJsaKjowOxa4PBYDAYDANMY2OjZVmWX40WAREg0dHRNDQ0BGLXBoPBYDAYBhilVJO/92lcMAaDwWAwGAYcI0AMBoPBYDAMOEaAGAwGg8FgGHCMADEYDAaDwTDgGAFiMBgMBoNhwDECxGAwGAwGw4BjBIjBYDAYDIYBxwgQg8FgMBgMA44RIAaDwWAwGAYcI0AMBoPBYDAMOEaAGAxDmLaONl7Z8wodnR0e1ykrgz17BnBQBoPB4ANGgBgMQ5iff/JzLv7Pxfx+ze89rnPhhTBjBrS1DeDADAaDoQeMADEYhjBPb38agA/yPvC4ztq1Mq2sHIgRGQwGg28YAWIwDFFqW2o5XH0YgKK6oh7Xr6sL9IgMBoPBd4wAMRiGKOuPrqfD6mBK8hQK6wrdrtPY6Hj+rW9BVdUADc5gMBh6wAgQg2GIkluVC8BJ40+iqrmK5vbmbusUFDiev/8+/Oc/AzU6g8Fg8I4RIAbDAPHHdX/kKy98xW/7y63KJTwknKXZSwH3bpimpq6vP/vMb4c3GAyGfmEEiMEwQHzvne/x353/paS+xC/7y6vOY3zSeHIScgAoqu8uQGpqZHrnnTBrFhS699QYDAbDgGMEiMEwwGwv3e6X/eyr2Mek5EmMTxpvf+2Kjvm46iqYOhVKS/1yaIPBYOg3RoAYDANAZZMjB/b93Pf7vb+Ozg52lu5kbvpcJidPBuBIzZFu62kBMmoUpKXBzp1wzjkOy4jBYDAMFkaAGAwDwJ5yRynSLcVb+r2/ssYy2jrbGJs4lrCQMOIj4qluru62Xm2tTBMSID1dnr/1FlxySb+HYDAYDP3CCBCDYQDYXbYbgOVjlrOtZFuXZZZl9Xp/uv5HVnwWAIlRiW4FSEuLTKOjxQKi2bq114c0GAwGv2IEiMEwAOwp30NkaCTLspdR1dy1GMePPvgRk/48qVdCZHPxZgAWZi4EICkqya0AabZl5kZGdhUgFRXwpz/17j0YDAaDPzECxGAYAHaX72ZqylSSopJobm+mrcPRmOU3n/+G3KpcDlYd9Hl/pQ0STaotIJ4ESEsLhIZCWBjExMi8efNk+vLLfXsvBoPB4A+MADEYBoA95XuYnjqd6PBoAHvRsPbOdvs6H+R67ufiSkVjBYmRiYSHhgPeLSBRUfL8jDPgBz+ADz+UGJC8vD6+GYPBYPADRoAYDAGmpL6Eg1UHWZi5kOgwESBN7U32ZZreBKfm1+YzOm60/bU3ARIZKc+jo+G3v4XkZJg4EcrKoA/hJwaDweAXjAAxGALM2gJpR7ti7ApiwsUP0tgmTVoOVB6wr5dfm+/zPg9UHmBayjT766RI9wKkrg7i47tvn54uVVIbGnw+pMFgMPgVI0AMhgCzoXADoSqURVmL7FYLXTZ9b8VeAOZnzO+VACltKCU9Nt3+OikqiZqWGjqtzi7rVVVJDRBXdEquKUxmMBgGCyNADIYA0trRyit7XmFG2gyiwqLIiMsAHEGkWogsyVrSLT3XE9XN1ZQ0lHS1gEQl0Wl1Ut9ab5+3Zw+8/rpYQVwxAsRgMAw2RoAYDAHk/jX3s7NsJxdMvQCA2PBYwOGCya/NJzUmlZlpMwF4afdLPe5TFzWbnjrdPi8pKgmgixtmpuySg26Sa3RKblmZz2/FYDAY/IoRIAZDAPnkyCeMTxrPL0/9JYA9BqShTYIvthRvYd7oedy44EYALv3vpahVihd3vehxnxsLNwLeBcj+/Y4A08TE7vtISJCprpRqMBgMA40RIAZDgGhqa+LzI59zxsQz7PNiI8QC0tAqAqS0oZTshGziI+O585g77evd+8G9bvfZ2tHKrW/dCsCEURPs87UAqWqSImc7dzq2efTR7vvRAsT0hDEYDIOFESAGQ4DYXLyZutY6zplyjn2ecxaMZVmUNZaRFiP+kBPGnWBfLzQk1O0+d5TusD8PCwmzP9fCRrt2dO2Pt9+Gyy7rvp/0dFknN7cPb8xgMBj8QFjPqxgMhr6wq2wXALPSZ9nnRYZGEqpCqW2ppbGtkeb2ZrsAOWvyWdyz/B4O1xzmzf1vut3np4c/BeDg7V0DO6LCRHHo+iI68DQ72/3YQkJg0iRx1RgMBsNgYCwgBkOA2FayjfiIeCaNmmSfp5RiXNI48qrzKGuUCNDUmFQAIsMi+fVpv2bu6LnUtNTY3TTOvLj7RcYljmPiqIld5usCZ7rCqnMXXE8kJUF9veflBoPBEEiMADEYAkRRfRHZCdkopbrMT49Np7KpkvLGcgDSYtO6LM+My7Rv78r20u2cOenMbvN1ifemtq4WEHdFyOzbREsxMoPBYBgMjAAxGAJEQW0B2fHdfSCx4bE0tDVQ1tDVAqLRDeZ0jRDNrrJdVDdXMz9jfrd9urpgtAXEmwCJiYHGRp/eisFgMPgdI0AMhgCRX5PPmMQx3ebHRcRR31rvsIDEdLWAaAFSWFfYZf6h6kMALMhc0G2fri6YujqxcIR5ifIyFhCDwTCYGAFiMASA9s52iuqLyInP6bYsNiKWhtYGewyIqwvGbgFxccHoxnWjY0fjijsXjDfrB0gMSGVlz+/FYDAYAoERIAZDACisK6TT6nRvAQl3WEDCQsJIjOxaKSwpKonI0MhuFpC9FXsJDwm3CxRnwkLCCFWhdhdMZaX7AmTOjBsH5eXGDWMwGAYHI0AMhgBQUFsAwJiE7gIkOyGb0oZSexl21yBVpRRZ8VndBMj+yv1MSp5EZFik22NGh0fbXTB5eTBxotvV7CQlydRUQzUYDIOBESAGQwDIr5HOtu4sIGMSxmBhsaN0R7cAVM3UlKlsKd7SbZ/uBI0mOiza7oKprXXfBdeZuDiZmlRcg8EwGBgBYjAEgPxamwBxIxh02fTcqlxSolPcbj81ZSpH645226c3ARIVFmV3wTQ2SpaLN4wAMRgMg4kRIAZDAMivySc+Ip7EqO6BGFqA1LbUkhyd7Hb7UVGjqGmuodPqBKQHTEl9iVuLisbZBdPQ0LMA0UGqumaIwWAwDCRGgBgMAaCkoYTM+Ey3y5xFhycBkhSVhIVFbYsEaBTVFWFhkZPQPatGEx0WTVN7E52d0mROx3h4wlhADAbDYGIEiMEQAEobSkmPTXe7bGbaTMJDwgHPAiQ+UswTWoDogFR3hc00UWFRNLU1UVsLnZ2Q7H7XdowAMRgMg4kRIAZDAChtKO1WYEwTHhpuFx6eBIgWL7r2hxYg7lJwNdoFo2t79CRAjAvGYDAMJkaAGAwBoKyxzKMFBLCn0noSIFpo7CzbSWNbo28CxOaCqaqS1yYLxmAwBDNGgBgMfqalvYXyxnK3FUs1p044FYCFmQvdLteulutfvZ7YX8Vy+9u3A5AS4z5rBhwuGF1YLDbW+ziNBcRgMAwmRoAYDH6grqWOM586k8+OfMb+yv10Wp3MSJvhcf2/nfs3Nt28icVZi90uHx3XXbxkxWcRojz/ZbULRvd3iY72PuaICAgPNxYQg8EwOBgBYjD4gVf2vMK7B9/lt5//lsomCcLwVGQMxFrhrqmcJkSFcEzOMfbXEaER7PnOHq9jiA2Ppa61juZm2zGieh53XJwRIAaDYXDw0ivTYDD4yrqCdYCjXge4bxrXG566+Ck+PvQxNyy4oVu5dndkxWdR1lBGXUM7ENajBQRMQzqDwTB4GAFiMPST/Jp8Ht38KCDVTYvriwE81gHxlUnJk5iUPMnn9bPis7CwKKmuAVJ8soDk5EBBQd/HaDAYDH3FuGAMhn7yi09+QWtHK6dMOIUDlQfYULSBsJAwjxkugUIfr7pefDC+CJDMTCguDuSoDAaDwT1GgBgM/eSjQx+xKHMRq05aBcATW59gdOxorwGjgUCXeK+qEwHiiwsmOhp7zIjBYDAMJEaAGAz9oKa5hv2V+7l85uUck3MME5ImAHDBtAsGfCz2HjMNrYBvFpCoKCNADAbD4GBiQAyGfrCvYh8AU1KmEBYSxv7b9lNcX0x2gueS6YHCVYBERva8TWQktLQEcFAGg8HgAWMBMRj6waaiTQAsyJCU2tCQ0EERH+AQIHUN7URFgQ+JM8YCYjAYBg0jQAyGfvDRoY8YHTua8UnjB3soJEYmAtDQ1O6T+wUcFhDLCuDADAaDwQ1GgBgM/WBL8RaWj13uU52OQBMeGk5seCwNjZ0+BaCCI06krS1w4zIYDAZ3GAFiMPSRhtYG8qrzmDTK91odgSYxKpHGJstnC4hez7hhDAbDQGMEiMHQR3aV7aK1o5Vjc44d7KHYiQ2PpbUlxGcBkiheG1MN1WAwDDhGgBgMfSS/Nh+AnIScQR6Jg8iwSNpaQn12wWRlybSwMHBjMhgMBncYAWIw9JEvCr4gIjSCWemzBnsodqLComhrDeu1BcQ0pDMYDAONESAGQx85UnuE7PhsYsJjBnsodiJDI2lv9a0RHUCMbeiNjYEbk8FgMLjDCBCDoQ9YlsU7B95hSfaSwR5KF6LComhvCffZAmIEiMFgGCyMADEY+kB9az1VzVUszlw82EPpQmRYJB1tvgsQbSkxAsRgMAw0RoAYDH2gqL4IgIy4jEEeSVeiwqLobA3vtQumqSlwYzIYDAZ3GAEyQmlshPLywR7F0GVD4QaAoApABYkB6WiL6LULxgShGgyGgcYIkBHK2WdDWpqpgNlXjtYeBWBy8uRBHklXosKisNoie+WCiY6GiorAjstgMBhcMQIkiNi3D9avD/xxysrgk0/k+fbtgT/ecORg1UFSolNIiEwY7KF0ITI0ks62SJ9dMCBCtKwscGMyGAwGdxgBEkRcdhksWwb5+YE9jrPI+dnPAnus4cqe8j1MT50+2MPoRmRoFLRH+WwBAUhJMe44g8Ew8BgBEkRoa8SOHX3fR2Mj3Hsv5OZ6XufjjyEiAr7xDfjgA2hv7/vxRip7yvcwLWXaYA+jG+HEgBXSKwtIQoKJATEYDAOPESBBgnMzsNravu/no4/gN7+Bn/7U8zoffwzHHANnnCGCZcOGvh9vJFLZVElJQwkz0mYM9lC6EdoRB0BkZKfP28THQ11doEZkMBgM7hlSAuQnP4Hvf3+wR9E7nnoK7ruv5/V27XI8r6np+/H27pXpwYPul7e0wJYtsHw5LFok87Zt6/vxRiI7S3cCMCstuDJgAEI6JK0lLKLD523i4/sneg0Gg6EvDCkBsmULfPjhYI+id1xzDdx9N+zf7329qirH8/4IkK1bZVpQ4H75zp3iclmwAMaOlXm33973441E3tz/JqEqlEVZiwZ7KN0I7YgFICzS9/SmnByJO+rwXbMYDAZDvxlSAmTUqK4X6qHEzp3elzvfgfbnbrS4WKYFBe6DWbW7ZcECCAuDWbPEKmJZfT/mSKKto40ntj3BWZPPIj02fbCH040QmwBRYS0+bzNlCrS2ehatBoPBEAiGlABJShq6AiQvz/tyZx98fywgZWWQmSnP16zpvvyTT2T5pEny+jvfkenRo30/5kji2R3PUlhXyM2Lbh7sobglvDNenoQ1e1/RiawsmWrxajAYDAPBkBIgo0bJxbnT9/i6QcU5sLQnAVJdLdOYmL4LkLY2iSW55BLZz5o13S0bhw/D1KmglLyeM0em69b17ZgjhdaOVp7f+Tz3vH8POQk5nD/1/MEeklvCbAKkM6zB5220YC0qCsSIDAaDwT1DSoAkJsp0qETsl5Q4nvckQA4ehLg4mDix7y6Yqipxp0yfDjNnwj//KReXzZtluWXBgQMwbpxjm2OPFbHy3nt9O+ZIoKKxgtH3jeaKF66gtqWWZy55BqUVXJARbkkWTLvyXYBk2NrZGAFiMBgGkiElQBJsRSeHSsS+NmmHhfUsQMrLYfRocTP11QKirShJSTB+PDQ0iAh6+22Zv3WrjOn44x3bhIbCaafBww9LETRTmr079625j+rman532u/Y8e0drBi3YrCH5JGwTokBaVO+F/ZITxeLmBEgBoNhIBlSAiQpSaaVlYM6DJ/RFpDFi3uOsairk3TIhIS+CxC9XVISfOUrjvlffCHT116T6fku3oPHHhNRsn69Scl1x3u573H82OO5e/ndjE8aP9jD8YrqlBKonaG+t7cNC5Ny7M4WO4PBYAg0Q0qATLb1/eoppTVY0BaQuXPFOtHa6nnd+npxwSQm9t3Coy0giYlw6aVSlOyWW+DVVyUeZO1acc9kuHSQT0mBJ5+U5zpLxmTFCGUNZWws2siZk84c7KH4RkcEAJ3K9yBUEOubCUI1GAwDyZASIOm2rMeh0rlT31HOni3T0lLP6/rbAqIUnHQS/PznMu+SS+DTT+GUU9xvO26cCJH77oPUVPmstaAZyXyYJ4VnTp94+iCPxDesNhEgVi+yYEBEqbGAGAyGgWRICRAdhDpULoxHj8pFfcwYee2LAElM9E8MiCYtTZrclZRITMipp7rfVin44Q8lSLWiQmJShlrRt0DwQd4HJEQmBGXRMXd0tIfJVPnuggGxgBgBYjAMLrm5UhhwpCQFDCkBEhMj/ur+1MkYSA4elKyW0aPltbcTvLMLprVVsll6i/5ctFDTPPKI4/mJJ3re/q675MevOXSo92MYbnyQ9wEnjT+JsJCwwR6KT3S2hQNghfbeBVNSYlxvBsNg8uyzcuP60kuDPZKBYUgJEKXENTBULoylpZIGm5Iir70Fzzq7YKBvIqu6GkJCRMg4k5QkZew/+cQxFneEhMCePTLO+HipGTKSOVR9iNyqXE6d4MFsFIR0agtISGOvths9Gpqahk6Ku8E7uVW57C7bPdjDMPQSnSjQlxvQocjQuK1zYvZsz43Wgg0tKmIlM5IGD6UZLEssINoFAyJA0ntZ6bu6WgRMiBtZOW+eb/uIjZXH2LFGgDy34zmAoROAikOAtKveCxAQK4gWwYahSW1LLfMfmo+FRdUPq4aM9c4grm9w30ZjODKkLCAgd/BDJQ1Xi4qeBEhTk1R3jYvrX62TigpITu7bWF0ZNw6OHPHPvoYilmXxxNYnWJK1hGmp0wZ7OD7T1hoKQG1HWa+288VNaBgarD+6nrrWOupb6ymsKxzs4Rh6QaPtvmGohBn0lyEnQEaNGjoCxNUCUu+hNpQ2e7taQHpLWVnvrSaeGOkWkNWHV7O7fDfXzb9usIfSK1pbAdVJeXPvlIROzR7JonO4sLFwo/15WUPvhKhhcNE3qc29C+Easgw5ATJ6tAiQxt5ZmAeclhb5EcXHQ3i4WDc8pQ/7S4CUl0vWiz8YN04+Z0+iabjz2l5xxl4779pBHknvaGkBFdZKc3vvsmCmTpUA702bAjQww4CxqdjxJZY0GJPWUMGyjAAJenQX12C/UztwQKZ6vNnZnquhandLQkL/BEhDg8Pa0l/GjpVpsH/OgeLjQx9z0viTiIuI63nlIKKlBULC2mjp6F0UW3Q0HHec+w7KhqHFvop9HJtzLAC7ynYN8mgMvtLS4mi0OlTajfSXISdAdIxEsN+Z65ocqakyHT3acx2QMpuVNC2tf7VOWlogMrL327lDxwTooKiRxP6K/Wwu3sy5U84d7KH0mqYmCAlvpbXDS9ldD0ycCDt2SP2XoVLsz9Cd2pZaJo6aSFhIGBWN5oscKmirfnq6xGIFu5XfHww5ARIv3caDPl3Q2a2ip55EkxYgqan9s4D4U4DoYNaReCF6abck4V80/aLBHUgfqKyE8Lg6Wtp7n8d31lnyuz31VCnhbxia1LbUkhiZSGJkIjUtIySacRig3S9Tpsh0JASEDzkBomtcBLsFxJ0A8SSatLktKUn88LGxwSNAhkrArz/ZVLyJSaMmMTl58mAPpddUVkJEXH2fLCDOZfpNFdyhiWVZ1DTXkBCZQGJUIrUtI8SWPwzQAkTXahoJtUCGrAAJdh+ZFkh6vHFxnkWTDjiKkkamfS7H7k8B4kvxtOHK2vy1zE6fPdjD6BOVlRAZ39DrGBAQF+A//gFXXglVVSPT+jXUqWmpoa2zjbTYNBIiE4wFZAihBYi++RsJgahDToDovioPPji44+iJ3lhAXAVIQkLvXUyW5V8BEhsr2TuDJUD27xeXgA7mHSiqmqrIr81n+ZjlA3tgP1FeDtEJfbOAANx8s3RShpFTDGk4UdoggWbpsekkRhoLyFDC1QJiBEgQEhsLxxwDGzc6IoaDEXcWkIYG92NubpYy8+HSxoOsLGlK1Buamx3FzPyBUqLE/SlAiovhwgvhiSd6Xvff/4Z33oGnnvLf8X3hYJWU2R2K7peODvmMY1Nq+xQDotGZW3v2+GlghgGjqqkKgOToZBKjEqlpNhaQoYIOOjUCJMi5+mopuOStu+xgU1cngkJbJOLixErR5KY8Q3OzWD+UktdTpvQ+/bVKzjtdOuH2l+Rk/2bB/OAH0uvg0Ud7XregQKYDHYh1sHLoCpCSEhEh8Sl1fbaAAMyaBRERsHmzHwdnGBAa2uQ2OjY8loTIBGMBGUIYC8gQYcYMmW7YMLjj8Ibubqvxlr2jBYhGWx5605lUp+2OGtXroXpk0iRxhfgDy4JXXpHnzvVQOjqkSV57e9f1dRVWLUQGij3lcts/cdTEgT2wHyi0Vd1OTKvvUwyIJjxcmih6qltjCF4a2+Q2OiY8xmTBDDGMABkiLFok091B3OxRl2HXeMvecRUgKSlyYa6pgbY2336IOmhVp/H6g/Hj/VeIrLRUPpPYWOlm3Gq7QT/3XDjxRLjvvq7r647HAyVA8qry2FW2i6e3P83irMXERvipotsAogVDYmpDvywgAHPmwJdf+mFQhgGlodVmAYmItceAWL25kzEMGlqA6BpMI6EfzJAUIImJcpEO5q64uhGdRgsQdxaQ+nqIiXG8nj5dphs3wsUXSwfgjg7vx9MiJTq672N2ZcwY+RO89Ra8+Wb/9qVLfH/1qxKrcuCAuI3ee0/mv/iiY932dofwGIi78LKGMmb/fTaz/jaL/ZX7uX7+9YE/aADQcUMpmQ39igEBESC5ud0tU4bgxtkCEhsRS3tne7/FqGFg0DEgU6fKdCQEgQ9JAQLiHgjmILm6OvcuGHcWkMJCCTzVHH+8TB94AN54Q4RWT/54LUD8lQUDsNyWCHLOOWKp6M+NlA5mvegimX7yCWzfLmJkzBjIy3OsW1goF76xY6VIW6BNkU9sfcJ+4o4MjeTymZcH9oABYudOqaI4KqX3pdhdGT9evoNC00x1SFHfKieY2PBYexsBHRdiCG6cXTDR0cYCEtQsXiwX5WC1LlZXd3WHeLOAFBWJz12TmCiv33jDMW/nTu/Hc03l9QeTXeIw++OO0TEqS5ZIxdcvv4RPP5XA2xtvlJoTOuVWx39oARToi+AzO57h2JxjsVZaNPyogbRYP3X0G2CqquSzjQyLpNPqpKOzB7OZF8aPl+lI7og8kDS3N/Pbz35LdXN1v/aTX5tPZGgkKTEpxIaLG1GLEkNw09AgN5ChoWIRd5ewMNwYsgJk1iwpRhasgXIlJXI3qvFkAXnnHdi3r6sLBhyBtuPGSVBgT9Ye/WP1pwAZPbprVk1/siKcY1QWLhSXzM6dYuXQdSe++EKmOv5DC5BAxoE0tzezvWQ7J4w7AYDQkNDAHSzA1NbK5xsZKmaw/lhBxo2Tqf4uDIHlsc2Pcc8H9/CdN7/Tr/2UNZaRHptOiAqxxzHpuBBDcOPcTDQmxvSCCWp0QbJgNBFblgRd6mAi8ByEevXVMtX1/zVakFx8sVgierKAaAuDP9NwAT74AP7+dwgJgS1b+r6f/HwZW1SUCJCdO+H112HpUpg2TdI+t22TdfVd93HHyTSQAuT1va/T1tnGSeNPCtxBBggtQCJCIwD65fvX3ZCNABkYPjr0EQCHqx0mp06rk6K6ol7tp6G1wS48tAvGWECGBo2NjvN+dLQRIEGNti7oRm7BRH29WCTcCRBnF0xHh2SDzJ4N99zTdR+X28IQbr7ZYTHwhq4D4s80XJBjf/ObEhjVHwFy5IijwNWpp0p2T329WDnCw2HmTNi6VZYfOgQZGQ4XUCCtXPsrJc94OAiQ0lL5/iPDbBaQfgSiRkfLd+Acm2MIDJZl8WGeNN/ZUbrDPv+m124i6w9ZqFWK1YdW+7SvxrZGYsLlKqZdMCYGZGhgLCBDiDSbmz4YBYgunuXOBeMsQHbskLvWu+8WC4Mz114ry2bMEOvI0aPegzGrquSi4c8gVGeWLYOPP+57QKi+OwdYsUL+YLGx0ncEYN68rhaQcePkM0tICKwFJLcql5ToFKLCHL6rffvguuuGVi+UtjYRblOn+scCApKNtWuXHwZn8Ep9az2VTZWkxqRS01JDfWs9uVW5PLblMfs6f/riTz7tq6GtwS48jAVkaOEqQBqCXDcqRYhSXNGffQx5ARKM1VC1pUAH8oG4GFwjm9evl6nOenFFi5YFC2T67ruej1ld7X/3izOnny5j72tvltpaERMgIqmhQSwgWqTNnSvBuKWlciHVn112dmAsIFuLt9Le2c720u3Mz5jfZdnddztKwQ8VdHPG5GT/xICAfCc7dgR3y4PhQHF9MQCLMqXAUX5NPk9sfQKFYsstWzhlwin2Ank94eyCMTEgQwtnAeLvNhiBwLLoBG7tzz6GrACJi5N4gmC0gOzcKdkdxxzTdX5SksNVAo47bOcMGHecdprsz5sLpKrK/+4XZxYulOmaNX3b3lmAuEOLsGefFXeNDoJMSvJ/OtqBygPM/8d8wn8ezvqj65maMtW+zLIk7gWCu9KuK1qAJCT4zwIyZ46cFLdv7+/oDN7QAuTk8ScDsLNsJ+/nvs+ynGXMy5jH8jHL2Vuxl6a2ntMialpqiI+QOxeTBTO0cBYgaWnBeW1zw3tK8X2lGKMUyfrh68ZDVoAoFbxfUm4u5OR0d4eMGtVdgERF9Vw8LCYGJk4cXAEyZYpDBK1b1/vtexIgS5dKHMiDD0pcjBYgcXG97wzsSnljORn3ZaBWKR5Y+wC//vTXXZZfMO0Cx7rlDtPnUBIgzllG/ogBATjjDJnOn9+v3Rh6QAuQ48ZI1PWBygNsLNrIcTny+sRxJ9JpdfLq3le97seyLA5XH2ZsokQQmzogQwvnINTUVP/24QogNwDfAT4BNtoePp85h6wAATHfB6ML5uBBR8ClM2PGdK3e6lqAzBtnnilZI84CxplAC5CwMDEL/v3vcOyxUqXVVyyrZwECUuxM955ZskSmGRn9z3R6YusTlDRIYM7v1vyOf239F8fkHMPjFz7OtxZ/i9MmnmZfV4urefMk8LenCrQDhWXJmK691v1ybU1LSvKfBWTsWKm3A/0LQDZ4RwuQaanTGB07mr9v+DvN7c0ckyMm1JMnnExKdApvHXjL635aOlpo6WghNSYVcLhgjAVkaOBsAUlIgJYWie0KZiyLCW4ePjfSGtICJJgtIBPdfAXjx3e9mLoWIPPGRRdJZUpPtTgCLUCgq6XmLe/nwi40N8vYfREgmgkTHNOCgv79ETcWbWRU1ChWnbSK4vpiOq1O7j3+Xq6bfx1/O/dvhIWE2dfVxdauuUZOCMHSb2jrVgnSffJJ98X3tHCbPNl/MSAA//ynTPft6/euDB4ori8mVIWSGpPKOVPO4UiN/AiPHXMsACEqhDMmncGre161V+x1h3MVVJDfQURoBDXNI6Ck5jDAWYDorMlgD0QFUIrZSnGFUlyrH75uawSInykuFmExa1b3ZQkJXd0JhYW+CxAdg/HYY+6XD4QAufFGmYaFOXq4+IJzfII3jjtOrFqzZzs6Qo4eLRfcvgZkWZbF6kOrOWPSGfY7SnAE/LlSVCQZSWedJa+DpSGbc+xNkZvSEM5BqP6ygICjHshI6EsxWJQ0lDA6bjQhKoQ7lt1hn5+TkGN/fsmMS6hpqWFbyTaP+9ECRLtelFKkRKdQ0TSE0rlGMO4ESH/dz4FGKVYCf7E9TgZ+B1zgdSMnhrQACUYXjA7Y04LBmYQEsQa0tspFtTcCJCVF6mU8/XT3i0FHh1yAAi1A7r1XsiJuvx3WrvXdPeGrAAkP71qiHeSCCg4Xw1v73+KNfW+434EbDtcc5mjdUVaMXcHyMcvt87Pi3fu+tm+XwmgzZsjn+eGHjmWVlYOXEVJc7Hiu07ydqa+Xzywmxn8xICAxJXFx/uuKbOhOcX0xGXEZAMzLmMddx97Fg+c82GUdLZi3l3iOCNaWjvhIRxfM1JhUI0CGAJYlMSDOWTAwJOJALgNOBYoti+uBeYDPxSCGtABJS5OCX8FkptICRJdSd0ZfgOvqxGReVyepjr7y/vsydb4ogqMKaqAFSGSkWHYmTRKXiK/iz1cBAnLHnZQkVSAbWhvIsd0EHjkCBbUFnPPMOZz37Hm0dfjmk/nsyGcArBi3gtiIWB6/8HFeuPwFlFY4Lhw+LO8vJESyj7Tl4bXXRARecolPh/U7zicidwJENz9Uyr8WEKXkOzEWkMDhLEAA7jvjPr695Ntd1hmXNI64iDivFpCCWimY42w5GRU9iqomD4FjhqBBt9LQQaj6vDcE/ndNtnTcdqVIAEphhMSA6DoZwSRAdu6UwEnnKqgafQGurXX8sFxLsHtj6VKZut6NBqoKqieys2Xqa32O3ggQzbff+DbZf8gma7zYIPftg19+8kuwgM4Q9lbs9Wk/r+59lbSYNGaliU/suvnXcenMSz2uX1go3x9IVk5enlit/v1v2/5eDWxhNE9UVIjrC9wLv/p6h9nWnzEgIMHTQ+BEOGQpri8mIzbD6zohKoRl2ct4aONDvLDrBbfr6NgRnQUDEB8RT11rkNvxDfZrmLaA6FYjg3Gu6SUblCIJeATJgNkErPd14x4FiFqllqtV6j21Su1Tq1SuWqXy1CqV2+fh+hGtFoNJgBQWOi7QrjhXQ9WxK7qgmi9ERcnF0bVD6UBZQDRanfv659DxG87dgXviHxv/QU1LDZtq3iUyEg4faefxF4pglQUPb2Br8dYe99HW0ca7B9/loukX+dRkLi9Pvpfp0+X19OliGv3wQ3jpJYcA1FaRX/1KKqY6ZzYFispKh1XNnQWksNDxW9IWEH+4YEAsIMYFExg6rU57DEhP/OO8fzA1ZSpfeeErHKzs/qM7UnOE8JDwLtaUhMgEaltq/Tpmg/9xFSDp6WKFdRfvFUxYFt+2LKoti4eA04Gv21wxPuGLBeSfwB+A44ElwGLbdNAJxkAdb5ktzhYQ7dN3LtfuC2PHdhcggbCAbCnewnWvXOc26l4LEF8tILp6qrvUZHfotESAfZV7mTABPt5YRMurD9hWWMDn+3pOT/ni6BfUttRyxqQzvK7X3i5VaV1TgGfOlKnOznngAfmM33tPLDI//rFYRu69V5ZXVsJf/tK94WBvcZfxU1EhtVGio90LkEOHHL1zdAyIP1wwIHdjpaWSFmjwL5VNlbR3tncRDZ6YlDyJN696k06rk5d2v2Sf/0XBFzy17SkO1xwmOyGbEOU4rcdHxFPXEkQnSINbXAVIaKjcbAZrt3elWOj6AJKBMNtznwjreRVqrJVWL5IuBw598Q6mQNSjR6VOhjucBci+fXIx09kevjJrllQLdc56CYQA+c6b32FN/houmn4RF02/qMuytDQJGPXVAlJVJaXo4+N7XhfgaK3jX3eo+hALFsCzz4pNct58i61bFG9+VCnhT174MO9DQlRIlzof7rjrLvjzn+Fb35LXugjanDmSjvvkk/Cvf0mWzoIFkg779tuyzoknSmyOZYkgeeghSd392998e6+uPPecHHPDBqn7oamokHih0aPdC5CqKkfgmt0C4kcXDMhv2116uaHvaLHtiwABiQVZPmY5D6x7gJsW3UR1czXH/NOR3XXCuBO6rN+TBaSto415D83jtImn8eez/9yHd2DwB7rxnLbqg9SICsZu7zbu97LMAk7xZSe+WEA+UqvU79UqdaxapRbqh09DDDDaVx8sZqrmZgkW9OSCcRYg1dUiPjzEQnrk2mvlOM5pmf4WIM3tzXxR8AUAu8u6WxpCQuTP4as6d45P8IV9FVJ0IjwknEPVh+wWCVQnb7+liIhpIn/1qT0Gou6r2MfYxLEkRSV5Xe8j6YTOK6/InYf+/pSCJ54QcfH1r8s83R/ls8/k+7vySvn8jxxx9Pb517/6Xrfkpz8Vi8wJJ3QNPK2oEIGRleVe+Dn3AtIxIP6ygKSmOsZg8C+9FSAAvz711xTVF/HQhof4+NDHXZaNSRjT5XV8ZDxN7U20d7a73deT255kd/lu/rL+L1juCswYBgRXCwjIeShYBYhlcbKXh0/iA3wTIMsQt8uvENVzP3Bf34btX4LtxKh/LDk57pc7Z8HU1fluEXBmyRK5SK5d65inBYi/mtHl1+TTYUmObVG9e3WXmup7bY7evtd1BeuIDY/l/Gnnc6j6ENddB/HHPM+Z999FRgacclEBnTsv5bU13t0wuVW5TEia4HUdy3IEWBYVyXcX5sUuuGCB3K08/7yUKtdWig0bJANq0iSJaO9Lufp9+xxuoNpaR92V2lo5QWVmyv5dGwI2NsoxtQD1ZxouOH7PemwG/1FSL+as3giQFeNWcMK4E3hk0yN8fuRzEiMTue90OSUnRHaN9NavPVVDffego8NlVbPJlhks3AmQYLaAKMUl3h6+7qdHF4y10jq5f0MNHDqo0VN58oFmj61h5QQP1zx9Ea6t7bsAiY2V3hxr1khNiscek7tv3W3XHxyucQSZFNa5/wckJjqCX3uitxaQ1YdXMz9jPpNGTeJ/+/5HaEwtDWd/laXzfwzA9+7s4O3nWnn0H5FcusLzfvKq8zhn8jlej1VS0vV96NLjnljhdLxjj5WiaUrBZTZ30Pe/D7feKm6bFV7G5g59srnrLrj/fkcvGm3xGDNGfuvFxfLdh9huH3Tqty5+5880XOf99rUTssEzfbGAANy88GaufvlqcqtyuXDahXx7ybepa63jtqW3dVlPN6arbal1awl07rK7vWQ7J44/sZfvwOAPPAmQigqJvXLtKxYEnO9lmQW85GW5nR4FiFqlRiPWjyxrpXW2WqVmAsdaK61/+jTMABIa2r3D7GCy15YZOmeO++VxcXLRqKwUEeJrHxhXVqyQGIMVKxyuGF0Dwh9ot8v01OkeLSDJydIrRePtT1JR4bt7qLm9me2l2/nxih8zd/RcWjtaeWn3S3RancxIlTSQE+aNJ3T2q3z8mmdx0dTWRHF9MRNGebeA/O9/Mj3pJPj4Y1i2zPv4xo93PL/ySvnc//AHER7XXAPXXw9vvgmffNLze21v72pt0Q3lrrxSgo3vuEOsM9oVk5YmcU/t7fKZ6qwXHZSs4zNCVAhhIWF+iwEJDxeLl3MxNIN/KK4vJjos2i4UfOWqOVextWQr/9z8Tx4850Giw6P52Uk/67aetoC4iwNp72xnV9kurp57NU9te4odpTtYV7CO5Ohkblp0U5/ej6Fv6BgQVwECYpl1Pu8EA73JdPGGLy6YfwHvAPpyuQ/4rj8O7g9cO8wOJoWFkirr6WIbEiIBjrm5cmHpqwA5/3ypprpmjeMCds01fduXO4rqiwgLCWN+xnyK6twLkHnz5H00NsI3vykXYk99Uw4fdgR29sT6o+vptDrtFhCAdw6+A8CMNBEgUWFRpE0qoLku1mPGid5mQcYCr8fT1oUnn4Tvfhduvtn7+JSSviyvveZwAX73u2JFefxxEWHTpklWireqqevXy4VdCyDo2tFWx71s3eqYn5TkyMzRVg9wuJDGOLn/I0Ij/GYBAYm3CpZYq+FEcYMUIfNUGM8TSil+d/rvqPhBBdkJHoLOcFRFdeeCKakvoa2zjeNyjmNs4lhufetW7vngHm7+380mdXeA0RYQ5yBU7fo8dGjAh+MzSpGoFH9Qig22x/1K4XPBBV8ESKq10vov0AlgrbTagSDpESoX+772CfE3R49K4JC3c8mUKVKsrLzc94uyK0uckqDLy6VB3e9/37d9uaO4vpj02HSy47Mpqi9yG5ymU40LCuAf/5C78vs8RAZVVfWc7WNZFmvy1/Dk1icBWJa9zF5Q6Z0D76BQTE2Zal9/bLa4GVwvis/teI6/fPEXfv7Jz0mNSeX0Sad7Pe727ZK+mpMjaba+1CqZO1dEoDPOLqYJE8Qi5M1i8KS8Tb74wjFPxzKNGuU4+RQXO1xESUmOAFnnHkj5+XJ857FHhkb6LQYERIAYC4j/ca2C6m90Xxh3qbh51XmAFC47Y2LXVPWT/x20nvdhiTsXzALbvZMObg9SHgPqgCtsj1rgcV839iUNt0GtUimIXwe1Sh0DBE17xWCzgPRk1ZgzB961xX31pgiZM/Hx8J//yJ1xYqLEhPiTvRV7mZI8hXGJ42hub6agtoAxiV2j63Wl10cekWlGBrz8sogRZ7eCZYm7qacqqL/69Ff8v4/+HwAzUmfYe7XEhMdQ1VzF+KTxxIQ7bg8WzIphPfDlplamTBExsqN0B1e+eKV9nd+c+ht7PIQnCgp8r0/iKzoGKC/P8+9h40aZOrutDh6U7zM52SFoCgsdFrWkJEctDufffH6+WD+cha+/LSCZmb65lQy9o7i+mMnJkwO2/7SYNPtxXNFl3edlzKOgtoBHNz/K+KTxTE6ezJr8NViW1WvLjKFvVFaKRdTZApKWJuePPXs8b7djh9ys+CsBoQ9MsiycS0uvUootvm7siwXkLuA1YJJapT4HngBu877JwDHUBMilTl/VSSf1/VhXXAE3BchNm1+Tz/ik8Zw0/iQA3s99v9s6Os7lP/+R6a9+Jd+Da/fYhgYRId4ESEt7C39Z/xfGJo5l5Ykreetrb6GUQillt4Lo+A/N9CnhAOzNE9NyZVMlc/7eNfjmGwu/0eN71emt/mTaNJl6ckmBo5aHcypzRYXEeCglwkRXvdUWkMREx4nGVYC4Zl5FhkX6LQYEHBYQk6npX3wpw94fxieNJ0SFcLCqe+XUsgYxo2XEZbA4S6KvL595OedNOY/Gtka3osUQGCoq3JdlyMmRGxl3tLTIefi88wI/Pi80KcXx+oVSLAeafN24RwFirbQ2AicCxwG3ALOslZbnjkgDjCcBUl8Pp54qvvqBwLLkYtKTADn2WLngLV8OU6d6X3ewqG6uZlTUKGanzyYpKokbXruBTqtrQMOYMZJ5k58vF8ULL5T5q1fDA2sf4OynzwZ86wOz/uh6ShpK+O1pv+VnJ/2McUkO35QWINNTp3fZZnJOMqgOjhRK9NZb+6VW3i9O/gVfm/M1frj8h6TE9FzlrbKy98XgemL8eIkF8nbnoovn5To1NXCu5QESVJqXJ/Pj4sSyFB0t49UnpbY22LKle+Czvy0gWVlywhsC3TmHDG0dbZQ3lgfUBRMZFklWfFaXzDZNTUsNcRFxhIWEsShrEVtu2cLPT/45x405DoC73r3La/O7YKbT6uSBtQ+wq2zXYA/FJ7QAcWXZMnHTuus8vnOnTD//vKtLdoD5FvCgUhxSisPAX4Fv+rqxL71gNgA3A4XWSmuHtdLqY4mlwJCaKl+ea+GnrVulh4e+MAaavXslIFMHCXqjpEQu1MFIR2cHda11JEYlopRi3mgpdOFqBQkJcfRMycoSUZWSIrUi7nz3Tt4+8DaHqg91Caz0hO5Y665i6TcWiBXj5PFdfdLZCZkQV0xunggj7c++89g7eeqSp/jNab/p8b2WlYl49XeEuQ429hQ8VlLiKNfuLJ6rqroKkKwsiXFxFiZKyeeua3KUlclv37WpYWRo7y0gdS11pP0+jQ/zPsSyLO5bc58jI8r2XXsTVYbeUdogKtSXPjD9YWziWA5XuxEgzTUkRjr+mPMy5hEZFsn8jPkAPLvjWc586syAji1QfJT3EXe+e6f9RijY8SRAFi6UGj86Bb6gwHFT9+mnjvUeeijwY3SHZbHFspgHzAXmWBYLLIueG3XZ8MUF81UgG/hSrVLPqVXqTLUqeByDU6dKAKRrfxRns5VlyYn8sssCV7b9vfdk6qkMuzNhYZJCHIzUtIhi0DUDnr30WUCaw7lygq3qs65Iu3QprFvnsNFvLNzo0QKyt3wvj21+DIDP8j9jRuoMUmNSux3j8lmXU/XDKs6f1jXqMyMuA9J3cDhXgig2FW1i4qiJRIf7XgxFB1UGIsVt6VKJ9XFXK0X/NpOSugZQV1d3zaAaO1ZETHl5V2GSkeFw4ei7INfqu32xgKw+vJryxnIu/e+lFNQWcPd7dzPzbzOxLMveZ8aTOdjQe/Td+ZTkXrTE7gPjEse5tYBUt1STGNX9ziA8NNxewK+4vnhIVkjdUboDkAZ9ze3Ngzyanikvdy9AtGVz+3apgD19utzMFReLZWTMGBEpr7wyoMNFKe50fgDfAL7h9NonfHHBHLBWWj8GpgLPIFGvR9QqtUqtUn72nvcefWftmo7pfKIsK4Pf/hZefFGKRPmbgwfh9tulYJMvFpBg5kClSO3xSeMByIzPZGHmQj49/Gm3dXWTNi26Jk2CIwUOW2FpQ6ldgOQ37+SK56+gvrWejs4Opj84nRtfu5HD1YdZk7+G48cejyfcFVBKj02HmErqaiTi9XDN4S5ZMr6grTM9Bcj2hTvvlGJzo0bJc2e06Jg5U4SxNq+6umDmzpWTzqZNXedPmCDxJb/5jVRjBVi0qOsxIsN6nwVzqPoQIBesnWU77fM/z//cHmPy9/ff7FK8ytB3tACZM9pD4SA/MSN1BnlVefbvV+NqAXHm1a++ynXzrwPoVu59KPDK3lfsz7cUbxmUMTQ3S1q/c9VqT3iygMycKRZV3X9KZ8v84Q9iFZk0Sc4B27bJ8QaQeNtjMeKGybY9vgn4fBX0xQKCWqXmIiXYfw+8iLQBqwU+7NWQA4BOW9JfjMbZJ/bJJw5B8vzz3dftL3PnyvQ73/FfMbDBQpeGzklwRDVeMfMKyhrLuqXynXWWxICsWiWvx46F+towaEiFhhS+2H3UfpG/97Pv8Pyu51mTv8be6wVg/J/GU91c7VWAuCM0JJS4xFbqayKwLIt9Fft6fScZSAEyf77EIIGk97Y6GSO0AFm+XNx2BQVipXN1wTinOuvAVoAzbVZx3YX32mu7xx5FhEb02gWjW7y3dLR0ERkbCjcQFQWJKU2s21HI/63+v17t1+Ceg1UHiY+It2eqBIqLZ1yMhdXNjVrTUuOxT9Kc0XP469l/JTI0kse3+JxVGRSUNpSy+tBqblooUfpr831QAAFg7VrJErzgAu/rtbWJZd5dF/XoaHGvbtsmVa8TEsTy/PvfS8D/SSdJWYb2dgk7GCgsi1WWxSogFVhoWdxlWdwFLAI8NCPpji8xIBuBB4AvgbnWSut2a6X1hbXSuh/I9b514PEkQOrrJT4kJERKWn/0kSO10Z8tjtvaHFXsrvdLbbjBpbq5GuhqddDWENc7KJAo7dBQiRH57aGLAMg4fAfqgUKe/c4P7W6OqhApE7uhcIP94jYzzSGUXbt4+sK4jHhaG2IprC2mvrW+1xYQXfo8I0AxgP/+t6NEu3M8iI770KKiokLuXlpbu7pgnAuLOdd+OfVUqZYKUsjs3//ufuzI0Mheu2C2lUrA4ZGaIzy2+THSY9PJis/i0yNi/YpILobaMTS2NfZqvwb3HKw6yMRREwOe6jojdQbJ0cm8l/tel/nVze5dMJrYiFhOn3Q6Gwo3BHR8/ubTw59iYXHDghsYmziW9YWDU0hDp9qXl7sPItUUFckNiPP/3Zl58+DVV+H116UppvN15mtfc5wbXDMQB4ixgPOJphUY7+vGvtQBudxaabkVGtZKy+emM4HCkwCprZU86tmzRYXW1cFFF4mvrLjYfxkougLpU09J5sNQpycB4slc/IP3fkBF3CGgk+L/Sj2P1voI/u//IDTUoiNWgm++LPwShZxwP7v+M949+K69zkdvmZQ1ip1WCC9slhNrbwXIkSMiUD11L+4v2dnwve/BCy9I0Kj+zWkLiI6rKC9331BQB35C17sjpeCZZ+ThiYjQiF65YMoayvgwTwyajW2NbC/dzp/O+hN7y/fyyKZHWJO/hrKwIiibMWQyC4Kd3KrcLiI8UISGhLIocxF5VV0DeLy5YDQLMhbw5v43aWpr6lV81WDyyeFPiA6LZmHmQqamTO32vgeKDU66bccOsZS705ruKhk7c+KJ8N//yvNVq+QmxbLkPDJ5sjwfPbrr8QaQJ4H1SvEyUivsYsDNLZF7fIkBGXQrhze0VaPOpdBfVZV8USed5Djhn2xLpPBXSemqKkcdjN42HgtWtABxPjF5s4CApLwV1RcxZ3wOl18pYjh1zmZUaBtlZRCX0Akhkq2yvWQ7W0q2MCZhDKOiR/GV2V/hm4t9ztrqwpzxohz++fnLhKpQlmYv7dX2R4+K9cNb99v+orNTnDvJVlaKKVUXcysvdwSrOltAnE9WvS2WFhnWOwuILl3//OXP2+edP/V8Tpt4Gm2dbSx/bDkkHoHymRz8ZCkNjUFTDHlI8n7u++wp38P0lOk9r+wHxiaO7RKIalmWVxeMZt7oeXRanV1igoKdT498yjE5xxARGsGEpAnkVg3cJezwYUexwI0bJRgdpE1Ddra4Y135+99l6qky9k03wfvvi1DR54frr5emlSDniTlzBtYFo7EsfglcD1QB1cD1lsWvfd3epxiQYEabz11FhRYgS52uSefYepf5q5aBrgy5erXEPwwHqpuriQ2PJTw03D4vPTad6LBojwJkb/leiuuL+cbCb/DXP0Zx+umw+Kr/kXq9NFapqZKUn1MmnMLBqoP8d+d/7UXO+sO0HPGdbz+cz9jEsT2eTF0pKnLvd/UnqakSKO0sQKqqJG1Z95IpL3fUA3F1B61bB//3fzCjax22HultGm5BrTTFOXfKuUxJnkJGXAbjk8azYpyTsk6QW7XOF54iLjZ00FL/hjqFdYWc/qS0CDh5wsCUPJ84aiKlDaU0tIqpuKGtgdaO1h7/M3NHS4BbMNcDcc7S2VO+h83Fm+0u3QlJEyhrLHPbC8cTbW19K265YYOjBtCnn0qQ6OWXi2XjT3+S882dd0o4wGuvyTEqK+Hpp+Uc4ckqHx4ublfXYoPOrFgh9YAGo2O1ZbHJsviT7bG5N9sOeQESFydC48iRrvO1ADnuOMc8LRL81TvmlVfkTranDqpDierm6m4nJV2R9EjtEbfb6MyZY3KOIT1d0k9nLKiiIe0TwsPhuCskCOyPZ/7Rvs1F0y/q91gnZtluB5qS7Y3qmpocdyDuaG+XdWBgBIhSYgVxtYAkJ8vvMzRUUmp1kPSsWV23X7YMfvITcRX1ht6m4da11BGqQokKi+KzGz5j17d3oZQiNSbV7jL7zqVdU21++tPejckgvLz7ZUD6HflDiPuCTqvVNxE6ELynwO1JyZMIDwnvEjgeTFiWxYJ/LOCsp86ipL6ElR+vJD4inpsXyc2P7oatA6x9YckSsUa4lnboiX869Ye/9lqZnn8+/O538nzGDPnfn3KK1Kc6/nhHLY9nnulfaQYdE3bPPX3fx2DgSxBqjFqlfqJWqUdsr6eoVWpwi7+6kJ7e3aqhBUhiIvz5zxKjEREhP4BcP1nkNm2SiGRPbeiHItUt3QUIQGJUoscOmfru2TlzJjk6mcbIXIrLWpl3zVOkRKcwZ/Qcjnz3CE9f8jSXzOh/+JC9hHpTMnPSJTbl+uvlDsRd/Q2QoK3UVLnoD4QAAfcCRIuPjAwJhnVuOOcPetuMrr61nriIOJRSpMemMyra4QvSv4erz5nEqx8fgavPYNToBurqTGn2vvDK3leYnjqddd9YR1hIAP1/Tuj4qI1FEhmpy7D3VAQtRIWQFptmXz/Y2FO+h60lW3nn4Dtk3J/Bf3f+lwumXWDvJbUsW+4OP8//3Kf9lZaKK6OuDv7yl96NZeNGueFduFCCzkNDxXX6la/AW29J3Y6dO8WlEhMDu3bBVVfJc50x11emTIEbb4QPPvDehTvY8OW+6nGgBdAltgqAXwRsRH0gOdlRmAkk4rimxuEvu+02ufCAxIQ4V5DrD6WlDj/+cMGdBQQgPiLeoxnzaN1RQlUoo2MdH0ZytKiD1tBKyppKpW4HMCZxDFfNucovY9XiYUrY6Xx93tcBR0zO22+73+a//5WspYwM+f4CFYDqzJQpYqHTlpm9ex3Fz7KzJRbFudy6P+i1BaS1zt663ZV/XvBPrpl7DYsyF3H28ZnEz1zHtPPeoLk5ePowDRXqWupYfWg1500Z2Hu4BZkLiAyNZHvJdkDcQACZcT0r8LGJY9lbsTeg4+sra/LXANjT+KelTON3p//Ovnx80ngSIhPsFX17QneeDQuDzz7zfRxtbSJATjxRLBsgFo+wMLGCnnWWNBHNyICHH5YkiRNOkHPRsmX+uYldvlzOI/uC01jlFl8EyCRrpfU7oA3AWmk1AUFV7WLxYqmHr0/wur6Dc0CfRl8M+qsSW1vF6pKe3r/9BBsl9SWkxXavSxAfGe+2pTeIBSQzPpPQEIcNUQuOgtoCShscAsSfJCVJ8Z5TR93IjLQZXaxgL7zQfX3d7j7CqUHu8uV+H1Y3pkyR31turpxwdPQ6SP0OLUD82dGyt83oKpoqPGZEXDzjYp64+AnCQ8MJDw3nmJxjKAsVV68/U9pHAne9exdtnW2cM+WcAT1uiAohJyGHgjqxVmoBoi0F3pidNpvP8z/n8c2PB10K9v/2/4+chBw+ue4TrJUWe27d0+U9KaWYmjKVfZW+XZXXrhXLxde+JjcKvlr4DhyQ//iUKY7MyK98xfP6oaFSk+qOO+Cvf/XtGD1xzDEy1em/A4FSXKIU+5WiRilqlaJOKdybyt3giwBpVatUNJJig1qlJiEWkaBh2TLx7R+0ufncpTRqxo0TtdrfTJiNG+WYixf3bz/BRmFdIdnx3c0CaTFpHrtj7ijd0a2l+DE58m9Yk78mYAIERGRqwblGbobIyZE+QK4nD+didO3tUtzntO7tZ/yOcyaMFkG66qGzBcSfAqS3FpCDlQeZkuJbIbepKVPJ7RAz4stfDE7xgaFIp9XJf3dKPmWX4N4BIichx+4uPVp3lOToZJ9Sa8ckSn7oDa/dwMX/uTigY+wNlU2VvL73da6YeYXXWipTkqewr2Ifze3N/OWLv/DOgXc8rrt+vdTdWLhQ/pO+tu7Q1pLjj5drQmkp/PjH3rdJT4c//tF/1bOnTZNMGW3tHyB+B1xgWSRaFgmWRbxl4XNpR18EyErgbWCMWqWeBj4AftC3sfqH7SXbWVewzv5aF3Taa7MSuktp1GjTd28DjLqNQSyZ3bqQDmWa2pqoaq5ye1c0Pmk8ZY1l9ih6Z/ZX7mdu+twu87LjswkLCaO4vjjgAkSfKL79bbmw33GHiNDCQrkzefJJsY7ttllhx42TO5CB+u60tWP/foerUFvOsrNFQB096mcLSGgk7Z3t3boYe6KmpYbkKN86K0xNmYoVLwHJv37riT6PcaSxr2IfNS01PHL+IwMW++HMmMQxXQSIuxsNd9y29DaeueQZLpx2IasPraatIzj6ke4o3UGH1cEZk87wut7UlKkcrj7MN//3TW5/+3bOevosXtnzitt1c3MlG8X1mtITn38u/1/9X09LG/iq2CEh3jNlAkSJZeGbf8sNvtQBeQ+4BLgOeBZYbK20Pu7rAfuDZVlM/vNk5j40l2P/eSxbiyXxWacvad+XtoB4EyC++skOHZIeMq58+aVc7HpbnyGYOVon9nR3AkSfrIrqu5qOGlobqG2p7baNzqAoqC2gsqkyoAKkvFxiP44elWhynXq9bZvckVx7LfzqV1KQLjNz4EVjSoqMc/9+KasOjqJDOgZl507vHYN7S0So+Jl8tYLUNEtrdl84JucYiC8COlG1Y4Zks7LBYFPRJsBhHRxocuJzyK/Jp7WjlaO1R8lO8E2AjIoexZVzruS6+dfR0tHCB3kfBHikvqEL4ukMOE9MTZmKhcW/t/6bCydfjkLx+ZHuQant7eKenzDBvQBZs0Yy0trbux9jwwaJ6RjqrTj6wAal+I9SXGlzx1yiFD5nGPiSBbMcaLZWWm8AScCP1CrloWRKYDlcc5iDVY50qrUFkt6ZkCA/mnfflfneBMi0aVI91ZeiLZs3y34vu0wq2TmjAxh7mx4ZzBytFQHinM2i0fNc0/H0d+DuJDAnfY69/HOgBMiUKXKS2LpVLvSnny59WEJDJfNJWxx++1sJPr711sH5znQmjO5RlGYLs9ECpL7e/zEggE+ZMJ8d+Yy61joy431LCVqavZS3rn2dmFF1NFWOoqwxODMkgo3D1WJ27UvVX39w7Jhj6bA6eHP/mxTWFZIV13P8hzM6ZThYaoLsKN1BbHgsYxI8lBC1cfpEqbnCoRW8deNzpO/4RZfriKagQMTFhAkwZoxFVJRDgHR2SiDpL34hmSbO1NbKf3v6wNSUCzYSgEbgDOB828PnCGtfTsV/BxrVKjUPuBs4DAyK3VWbzd65+h1CVIj9ggnS8Gft2q5FZNwJkJAQCfzzJQbkz392OvYrXZeVljouIsMFd+m0msVZEuyys7RrRUR9MnLXTG5s4lh73EigBMi0aXIC+PBDsWwoJYJ0+nSxhoSEwBVXOAKUv/GNgAyjR7QA0S0DdAsB5ywcf8eAQM8WkOd2PMeKxyUewVeTPMBZk88iM6sTanPsF1aD8PDGh1GrFM/vdFSVvfXNW/nRhz9ibOJYny1N/kYX59pbvpeShhKfLSCapKgksuKzgqYU/6dHPuXYMcf22EsnLTaN1det5qz2f9DaEkL1+99kf3l3AaJjxP6097vE/SaGsROb2GPrybhvn6Pa9n//K1VIb7hBAsq3bpWkhJNO8uObGyJYFte7edzg6/a+CJB2a6VlARcCf7ZWWn9C2vAOON9753uAXAynp05nTcEa+7Ljj5cCU5s3excgIDEAvkQKV1SIyJg2TUxvOsjVssS839vqlMGOFiDuLkQJkQlEhEZ0u9stqisiMjSSUVHdP2zntNxACRD9HeTlOboSgyOwa+pU+P735fmyZYOXtTRligSI6aA23YE3UAIkMtRmAfGSCVPTXMOVL15pf93bC9KEsRFQm836o4PT7CtYueV/twDw1PanALjrnbt48MsHAbh0xqWDNq7EyETiI+JZX7ieTquzV4JTMzVlKvsr9/e8YoDptDo5UHmA2WmzfVp//qgT2POZnCxaqpM5kNvZzXWoq4jubH+F5vZmIkYfsrvq19lCDidNkq60f/iDlFe/8EJHbNlwux74glJEKcV3lOJvSvGYfvi6vS8CpE6tUvcC1wBvqFUqFAjvYZuA8PbX3ua7y75LcnQyZ08+mw/zPrRfNE84Qczur74qAiQ8XAq8uOOEE+THpitiaixLflhvvimvjxyReIJb5HzC3XfLtL5e0imHS/l1TUFtgZyk3NSD0AWqXGNAiuqLyIrPcnsX4lzkKFAC5OSTHf2Azj3XMV+nwF1yiUSlP/qolDweLHSF09dfl1gPXe8j3umjzuqdRdwr2gLizQWju9xqetvMb8r4GKjLCYoLUrBQVOf4f2wp3kJNcw1/WPcHAB4+72F+euLglY9VSjEuaRwf5IoPwZPgtCyJm3IX+zY6dnRQFCU7UHmAxrZGj80xXXn+eYnn+/3v5XVzwVS7dba0oZQvj37JgQMQGt5ORHIpM9NmUhe5h6NH5fP46CNx8X7nO7L9McfAV78qwacffCDXmuF2PfCRJ4EM4ExgNZADuK/X4AZfBMhXkLTbG6yVVjGQDfy+9+PsP2dOPpMHzpJuPudPPR9wuADS0+Uuc98+eYwb5zkgSEcqO1dE7eyUP91dd8mFrKZGBMjYsdLR9NJL5cfW1tY9lXK4cLDqoFf/9Jz0OfZCRpqi+iKPsQMDYQEJDRXXxnvvSfyH5pJL5Hfwi1/I7+DGGwc3YPgEsX6zY4f4kt2h03X9gY4B8eaC2VgoZsDS75dS8YMKt643b+TkKGhKprjK57T/YY9uXX/ulHM5UnOE93PfB+Ctr73FTYtu6nW/In8zNnEsNS2St+4pGLaqSjLHLrus+7LJyZPJrcqlqa2p+8IBwLIs/vLFX5j2V4kSXZi50Kft3nhDAr+//W0ICbGgeJ49DiT7D9ksfXQpu/Z0EJ1+lBnpUzkm+xgq4lbT2Cjnlw0bpMrpbbdJjaE33pDnliUumVmzhlc8YC+YbFn8BGiwLP4NnAv4HObvSxZMMfAioGu1lQMv92GgfkXX+HeOA8nMlNiOAwe851brC9FBJzfgm29K0KJm3Tr5I2pVe+mlYj7fudNRfGm4FSHbV7GPaanTPC7Pjs+mtKFrYnxRXZHHaorOwqSntt/9ISND6nk4C07dgyVYotKdfytXXOF+HX+acO0WEC8umB1lO5iaMpW02DR75dreoDPKCvMjvK43kqhokruTsyaLynx2x7MAzM+YP1hD6sK4RMkfSIxMJDUm1e06zrUvXPsqLchYQIfVYQ8uH2he2/sat799OwA3zL+BeaPn9bhNZSW8847EaMTEwITJbVAyj+0l29ldtpv2Tklr2bqjmZC0/YxLGseirEXUx0mxvQMH5GZmzhyxXF56qVTfPvZYKaUOjukIROdkVyvFbCARGO/rxr5kwdwEvAD8wzYrG3ilV0MMAJlxmSiUPXUU5EJUVCS+dp3m6A5tAXHuHKgzaO6/X6ZrJbnDLkAmTpTp0aOOGiDz5/fvPQQTLe0t5FXnMS3FswBJjUmlrLGMLwq+sPtPC+sKPQqQSaNE6WXGZfYYKDYS+NvfpPLqeS4x4n/6E5x5pn9z+HUMiDcLSEVjBWkxfY+k1v+jkvxBCQkLSioaHQIkVIXy4u4XSY5O7mINHEzGJsoJbVyS50TGMicPy/auBk9Om3gaOQk5/Pbz3wZieD2iS6/ffdzdPHz+wz6dVz7/XFzm118vrxfOCye8ci6v7n2V2966DQqWQsUkjh6OonXUdrLislg+ZjnEy7Xlo48kO8a1UaRS8MQTYtW84w6/vs2hxMNKMQr4CfAasAspTuYTvhiNvgMsBymvaq209gODfu8fHhpOemw6R2uP0tTWxN7yvWRmilulutq7AElOFn/7Rx855q1dK/EE+kfqKkC0f76wEIqL5cfn2jp9KHOw6iCdVqdXAZKTkEN7ZzvH/PMYHtv8GE1tTdS01Hgs55ydkM1LV7zEx9d9HKBRDy2+9S2pmBjhYjC4/XbPvWv6ii8xIIdrDpMR1/cfsRYgVUeHmS+yH1Q0VRAWEsakUZPs7oFZabOCRoDrYHFvrlZnC8jHH3ddlhiVyLVzr2X90fWD4oYpqCtgfNJ4fnf677q0fvDGhg3iHtH1gcaOVXTWZPPOgXf44ItCePQL+MsBOjtCaR61geyEbGanzyYyWcTkO7bCqa4CBMQFPGtW8FhaBxrL4lHLosqyWG1ZTLQs0i2Lh3zd3hcB0mKttOy3UWqVCsNWln2wyU7IZlf5LpY8soTpD04nelS1fVlPd5NnnSXdCUHiP3btkiwKnYmgLSITxNNDRob8yI4eFQGSmuq/xmGDyXM7nuOJrU/YU+u8uWCOG3Oc/fn7ee/bA1K91Y+4eMbFvQ5uNPSfnmJAKhoryK3K7VdRrORkiIxroK5oGCnxflLRWEFydDJKKb46+6tA8LhfQCwzCzMX8vvTPYfxaQtIZKR0/HZlWc4y2jvb+eTwJwEapWeO1vpewVXzwQfiPtGp72PGQEdrBDQlw36XnjzTXiMrPovQkFBuXHIVRFWyfTuEhlojtc6HW5Tiatv0TncPX/fjiwBZrVapHwHRapU6HXgeeL1vw/Yvx+Ycy5r8Newsk9oUuxtX25d5s4AAzJ4tf7SyMkeTsJkzRWSscGrToNMkw8Ol8+2+fSJAhoP1o7i+mCtfvJKvv/J1Ht74MAmRCcxI9RyIMD9jPs9d+hxnTDqDz498bo/496WjpmFg6SkNt7xROvf197tLG1dG89GpphqqjYqmClKixSJ069Jb+cvZf+E3p/1mkEflYFzSODbevNHrTYG2gCxbJgGYrpw28TRCVWi3LKqB4Gid7xVcQZIJ1q6VOlEa+81pzRjIO4Wp09r52i0lcN4tEFnPosxFAKw6eRWxqZUAJI7P80vH2mGETc4R7+HhE74IkHuAMmA7cAvwJvD/ejPSQHHeVHGmf3X2V5k7ei77LYcduycLiBYWpaUOd4vujLp6taRbPfdc123OOkuin4uKhocAeWTjI/bn7+W+x53H3ElsRKzH9ZVSfGX2Vzh/6vnk1+bz8h6JRfa1iZlh4OipEFllk5xY+xJ86syYaVVQOpNaD52SRxoVTRWkxIgAiQiN4NaltxIT7qEeQJBSUiKW4GXLpN5Rm0vrl5jwGCYnTx7wgmT1rfXkVuUyPcV3U8Rnn4mF+9RTHfP0zemFWbcSXTeH+fPCeOqh0fzsriyOG3Mcc0dLQaHUmFQuO1X8jFXJ73VJsR7pWJbEhFoWq9w9fN1Pj04Ea6XVCTxiewQVZ046k9XXrWZx1mJu+d8tfFTssBf2VFNBu1qqqyVoFRyBpkq5b5F8zDHwr39Jx0Tdcnko89iWx5g4aiK5VZKPrAVdT+iqp/evvZ8JSROYOGpiwMZo6Bs9lWLXAkRfLPvK+AntrG1JYv/RXBZP8rkJ5rClorFiyP8f8vIkw2nhQqnwuWuXdIh1JqXwa2xvfd7t9oGipL6ETquTScm+59Pr6qZTnQw+Ontrav03eK3UsveGWnnSSlaetLLL9nfcAe991EzhzGfZXDzG53YFwx2l+LO35ZbF7b7sp0cBYusF8zNgnG19BVjWSmvQ/2VKKXt54Zz4HIqtl+zLoqK8b+ssQI4eFX92dA+dqZ3/hEO96ExhXSGHqg9x3+n30WF1ALAoa5FP285On01KdAoVTRUsH7s8kMM09JGBsoBMnSyBgJt31bJ4GDVm7CsVTRUsyVoy2MPoF4cPywVbn++2b+967jtyBNb8+icw5lSab28mKqyHk62f6Mtv9uBBSb11tlinp0udqH//GyxL2S3f7liwAD7dUsikP6+muP7avg59OOJDLfGe8SWM8p/A92wH7PDHQQPBsWOOpSNEfK3JPvw+U20p8CUlIkCyfXArOndRPfbYPgwyiNhRKt31lmQvsYs4XwkLCWPCqAlUNFVwzuRzet7AMOD0FANS1Sz9CvpbGGvGVLn47N3npkXoCMOyLCoaK/ptVRpsamuljYWuXaMLL2p0fxTyj2Nv+VbmZfRci8Mf6Lgld20fPHHggNR9cs1SGTtWmlNCd+uOK+MSxxETHhM0TfiCAVvRsX7jiwCpsVZab/njYIFEmz1//tybXDSr54vi2LGSDrl3r3RB9EWAxDqFRxx3nOf1hgK6oFhf0zB/ecoveWXPK1w6c/B6Wxg805MFRKdQ9jc+YfZU2T4vb4TmITrR0NZAS0eLPQh1qFJbK72KkpLEknzoUNflzrVBPj+8bsAEiE428JapZ1ny0FVJ9+1znz577LEiQFJTe75hDQ0JZUbqjKBpwhdMKEUa8ENgJmA3hVkWp/iyvS9BqB+pVer3apU6Vq1SC/Wjb8MNHNNTpxMVFkX1qA+Z7UN/orAwER1Hj/puAQGpmPrvf3tudDdUOFJzBOh7FsQZk87gb+f+zX6hMwQXPcWANLc3A/TbfJ6dmgRxRRQcNikCh6oPAd6LfAU7nZ3S9TUhQWpcTJ7cXYDUOlXe37ivcMDGVlRXREx4jMcKriBtM2JiYMsWSRbYt09iWVy5/np5j/fe69uxp6VOY1/Fvr4NfHjzNLAbmACsAg4BX/q6sS8WkGW26WKneRb4pnAGirCQMLLis7o1S/NGZqZUySspcQSg9sTZZ/dxgEHG3oq95CTkuG08Zxj69GQBaW5vJiI0ghDVvwYWCZEJMGonJfkmOE9foKYkD92ssMpKsSDoG6zkZJnnTE2N43l+af2Aja28qdxr5V7Lgn/+U8rHP/AA3GBrCq8LkDkzfTqUl0t5BV+YljKNZ7c/S1NbE9HhPQQLjixSLIt/KsUdlsVqYLVSrO5xKxu+ZMGc3K/hDSCZcZn2Doe+cPLJ8MtfyvPhVFbdF0rqSzxWMDUMfaLCoghVofbGY640tTf5JXgwRIUQkVZARf4I7EXuwv4KKZoxlNPSdd2PaTYvx6hRXZt2QlcLSEHxwFVDPVh50GsWysGD0qkcpJDktGkS+zF3rvv1fRUfIALEwuJA5QGfO/AONAcrD7L8seU8esGjPmc0+gGdpF2kFOcChUhHXJ/w6fZHrVLnqlXqB2qV+ql+9GGgAScjLqNXudrLljme+7MPx1DgUPWhXnc/NQwdQlSI/B88WASb25uJDvPPnVxsegn15UndGpeNNPZX7ic9Nl2sQkMUbe3QQfqjR2NvSa8pKnJYSIrykrps/8wzUk+pocG/47Isi20l27xmGO2QuHquv16KRf7znxLr54+aTbpw296KvYAUcQw2l8y+in2UNJQMdMflXyhFInAX8H3gUSRpxSd8aUb3EPAV4DYkBfdyJCU36MiIy+iVBeTMMx3Pp46gauFtHW0crDrote+LYeiTFJVEbUut22XN7f5Ln0zKLAcrpFuswEhjf+X+frUdWLdOHoNJlSRH2QXGjBkiSrQwsSz48ktHZdGaiih7N1mQi/+aNeLa9uu4mquoa63z2sNmyxYJPr3nHnmdmwsn9C7BzyN2AVK+l/LGcpY+spRpf53G5c9fzqeHB7Yi7J/W/YkH1z/Ybf6HeR8SqkK9VrP2J0oRCkyxLGosix2WxcmWxSLL4jVf9+GLBeQ4a6V1LVBlrbRWAccCPRQ6HxxyEnKoaq7yeNJ1JSLCETXdU92Q4URedR7tne1GgAxzosKi7MGmrtS11nmtetsbUnPk/3bwoF92N2TZX7G/X/EfK1ZIdkbHIBY70AJE10nSlhCdinvwoDxfvhyi41qxmhK5+qWr7e6nBJvxx98C5HD1YcB7E72NG8Xt4nwzefzx/jl+bEQsU1Om8nn+59zz/j3k1+YzLWUaL+x6gQufu9Dj/8zfFNUV8d13vsutb91KY1ujfb5lWXyQ9wHLcpYNWBq4ZdEBXNDjil7wRYBoJ1+jWqWyEJ/PhP4cNFDMSRff3Pqj6wd5JMHN3nIxI3pLZzMMfaLDoz2eGA9XH7a3Zu8vmWPkFKFjBVraW7rcFY8EWjtaKaov8nqB9EZZmbR8B/jPf/w3rt6iC3el2K5heqoFyJo1Mj3mGEgeFQJNyfxn53+Y+tepvLv3Y7ul5PBh/45LZxh5+3y3bnVkvGgLjXMJ9v6yNHspO0p38Mb+Nzhr8lnsuXUPb171JlXNVby21+eb/n7x6t5X7c/f2u+ojrGrbBebizdz3pQBi/3QrFGKvyrFCqVYqB++buyLAPmfWqWSgN8Dm5A0m2f7NNQAc+L4E1GoQenSOJTQfkzTpXZ4480CUttS26uCTt7IzAiB8AYOHoSG1gbS70vnyhev9Mu+hwr9rauj4xcAvvY139ND/U1pqZQk0HU0dGyctm6tXSvWkVmzYPzYMGZGnMOj5z8KwFvbvqSzU9Yr9HN2bl611FQfl+je+29Zks2oyyn85z8y1kl+rM47J30O+bX5FNcXc+1cqYp6xqQzyEnI4d9b/VKXq0fW5K8hLSaN1JhUnt/lKIX/Xu57AFwx64oBGYcTxwGzgP8D7rc97vN14x4FiLXS+rm10qq2VlovIrEf062VVlAGocZFxLF87HKe2f4MnVbnYA8naHl176uMSxzX7zLchuDGmwDxZwxIcswoiC+kuNji4Y0PU9tSywu7XvDLvocKJfUlAIyOHd2n7T/7TDI2/vhHef2b38Ang3AfVV/fteCizobR8T2FhVLGPCREUlkr8lO4ceGNzEybyebcfPt2/hYga/LXkB2f7fGcVVIifWt0o7moKLHS+JNLZlwCSMkHfaEPDQnlmrnX8M6Bd3oVf9hXNhZtZFnOMi6dcSmv7HnF3sfrYOVB4iLiBqMP0Y222A/7A/iGrxv7EoQapVapO9Uq9RLwDHCDWqWCNmLiO0u+w8Gqg7x94O2eVx6BNLc3s65gHV+d/dXBHoohwAyUABkVNQpiyigu6WBLyRYAQlUobR1t3jccJuwt32u/+IyO65sA2b1bmqTdcQc8aIsv9Kf7wFfq6yEuzvE6IkIEiXatVFY6Koemp0stDcuCJVlL+GKfmElmz/avACmoLeCTw5+wMHMhyrWmug1tofGnxcOVycmT+deF/2LtjWsJDQm1z790xqV0WB0BD0atbKpkd9lulmUv485j76Slo4VX94hLZn3heuZnzPf4+QQQd3caPncp9MUF8wRiYvkL8FdgBvCkrwcYaC6ZcQkJkQm8vvf1wR5KULK9ZDvtne1DvmGWoWd6EiD+SsNNjk6G2DJKSjvZWSrlsjusDgpqC/yy/2Bm/dH1TH9wOj/56CdA3y0gX37p6NL6rW/BLbdITMiRI34aqI80NHQVICAZMTo4taLCIUBSUyVgtqYGzp96Ps11UpZ/7lxZv8lPJUKuefkamtub+eUpv/S4jo4/8rWgZF/5+vyvszhrcZd5M9NmEqJC7KXiA8WO0h1YWCzNXsqU5CnMTJvJ3zf8nbKGMjYXbWb5mIFrDKoU05XiUiBRKS5xelyHU0n2nvBFgEyzVlo3Wiutj2yPm4GgDR6ICI1g7ui5fHH0i8EeSlDyeb6Epy/IXDDIIzEEmtjwWOpb3Veq9KsFJFosIGXlsLt8t91P76kI2nDi3YPvArC5eDPQNwtIQ4M0TdMNLpWCq6+W5zsDe03rhqsLBroKkMpKR2CqzpApL0cuyo0yY/ZscX8X+V6SySNNbU18evhTblt6m9cCYJs3Q2SkQ8QNJNHh0UwaNcne4DNQ5FVJHMyEpAkopbj3+Hul9sx96bR1tnFszoB2SJ0GnAckAec7PRYCN/m6E18EyGa1Stm9aWqVWgb4OcnKv5w75Vw2F2+mrKFssIcSdDy34zlmps1kQlJQJjIZ/EhiZCI1zSICnIVIR2cHbZ1tfhMg4xLHQWwpleWhNLY2cuwYORHqYw9nPjr0kf15XERcn5r7HT0q0+nTHfNm2Eo57N7dn9H1DsuC/HxpUeFMcrIIEMvq6oJxFiBjE8cS0ybCsz5Jbv784YbZVbaLDqujxxumHTukq23kILUkmpU+K+AWkLzqPBTKnr12+czLuW7+dQBkx2dz4vgTA3p8ZyyLVy2L64HzLIvrnR63WxZrfN2PLwJkGbBGrVKH1Cp1CFgLnKhWqe1qlQrK/sTH5Ihe2lC4YZBHElyU1JfwxdEvuHL2lYPhKzQMMIlRibR0tLCleAvxv47nya3iOdVuGd2wrr/Mz5hPWHw1nR2h0JzEcTnSKtrXejxDlZb2FtbkO861seF9q6uiBYhzQ8yUFLnA79nTnxH2jqYmaUTnWhVaW0Dq66GtzSFAnFN0lVJ8fcqdEFlDcZhUU/OHANFNM3sKriwo6C6cBpJZabPYX7HfY/NHf5BXnUd2Qrb9fxsZFsnjFz5O9Q+r2f2d3QNdAVVzsVIkKEW4UnygFOVKcbWvG/siQM5C6n6caHtMAM5BzC/n92XEgWZ+xnyAgJvEhhr/2SkFBi6cduEgj8QwECRGJgLY09KvfUVSB0saJGPDW1fR3hAaEsqEbAkcWJR4NmdMOgMY/i6YL45+QXN7M7ctvQ1wfK69pcAWKuPakXvChO6daAOJ7qMS79KfctSortVQtfDQQkTPr6qIICK+joPtEozpDwFS0SQFSLw1oduyRSxFK1b0/3h9ZX7GfDqsji4WMX+zv2K/W8t1YlTiYDYVPcOyqEX0QAESnnG3rxv7koZ72FppHUYKkln64TQ/6EiMTCQ8JJzyxvLBHkpQ8ereV5mQNCFomykZ/ItOWVxbsNY+r6mtyd4vKTs+2+12feGqZacBcOm4b9rvxIa7BeRgpaRe3L7sdgBmp8/u037cWUBA0l0HMghVCxBPQai6GJkWHrpaapnN0715M2RMrGBLzUdERlo+CZCG1gZ+9vHP7IXGXNHncG/VPR95RIqn3Xhjz8cLFBdMu4CEyARe3v1yQPbfaXXyZeGX3QJggwDd0u8c4FnLotLbyq74koZ7gVql9gN5wGqkENlbXjcaZJRSTE2ZGnCf3FDCsizWH13P2ZPPHuyhGAYIHePx3I7n7PM2FG6wl3D2Vyl2gAsWittlRswJ9mZsw12AVDdXA2JJ2vrNrXxyXd8KdxQUQGJi9wv/2LEiQJwbwQWSujqZugahJidDY6OjU66utZGWJiJp3ToZ46FDMH0a1LRUk57R7pMAeWn3S6xavYopf5liL7fuTHljOTHhMV5jaz7+GE480SGIBoOI0AhOm3gaj2x6hL9/+XcsP39pZQ1ltHe2D0adj554XSn2AIuBD5QiDfC5Lr0vLpifA8cA+6yV1gTgVII8CBUkKGogCsMMFbaWbKW+tZ65oz30pjYMO06beJr9uXZLbi/dTlO75Ef6Kw0X5GIEcjccFRZFeEj4sA9CrWquQqFIiExg7ui5kg3UB44cEbHhyvTpEpfxxQAl9JXYPEijXRJ5tOB44w2ZjnMqRjpunFRPLSuDlhaYOUlcAXEptT4JkDcPvAlAeEg4q1av6ra8vLGclGjP1o/Nm2HXLv/1fOkPPz/554SHhvPtN7/NX9f/1a/71jfTk5Mn+3W//cWyuAfpD7fYsmgDGgCfffy+CJA2a6VVAYSoVSrEWml9BMzvy2AHkpSYFCqbemUNGrasK1jHgn9IFPmKcYPoKDUMKPGR8fbmaOdPPZ9QFcrR2qM0tYkA8VcWDEjL85gYSRtVSi7Kw90CUtpQSmpMKiHKl9OoZ/LzHRd5Zy6+WKb+buzmCS0YsrK6ztcdZd97T1KEnS0NSUninsm3FUFdNksiQUPiyikt7fmYeVV5nDbxNE4afxIf5n3YrYJ1eWO5x1illhZJV05Kgq9/vedjBZqZaTM5dMchYsJj+N2a3/VYiK+soYzjHzue/+37X4/73lYi+R4LMoKrfIJSXIvEgn7N9vwy4Axft/fln1OtVqk44FPgabVK/QkI+k5TyVHJlDWW+d0UNtRobm/m3GfOBSQ2JtgUtCGw7K8Uu/mizEVkxmdSWF9oFwbaVeIPwsOlC6muSJkYlUht6/AWICUNJX2ufOqMJwGSmiqPvXv7fQif0LEorgJkzBgJiC0uFldLWJhjWUaGuJB087mpE6OICI0gPKGyRwuIZVnsrdjLpFGTuGj6RRyuOdwtcaC8sZzkyHSaXYz6HR1w0kli/Xj66e7xM4NFZnwmT138FAW1Bbyy5xWv6/51/V/5PP9zvv3Gt+no9NwC2bIsHt/yOGMTx/rl9+Znljg9VgA/oxcdcn0RIBcAjcAdwNvAASTiNaiZmTaT+tZ6DtcEZZzsgPHqnlepbKrkqYufIv97+USERgz2kAwDyKabN3HJjEu4YNoFJEUlUdNcYxcgiVGJfj3WpEnSEr2jQ8TNcHfBVDRWeHUP+EJTkwR3uhMgIKJuoFJxdTXWKBfDWGgovP661Nn4wx+6Lps3T7JgVq+W12PHKlKiU4hILaCqylHAzB0VTRVUN1czPXU6502VS4prC43i+mKKX/820dHwVyevxr33SuzJhAlwzjl9fMMB4vxp5xMXEcfqw6s9rtPc3swT254AIL8236tYeWjDQ2wr2TbQhcZ8wrK4zelxE7AA8Pki41GAqFWqTq1StUAxUA1UIaXYfwXsVavUOrVKDUK3At/IihcZP9IzYd45+A7J0cl8ZfZXBjNVyzBILMhcwItXvIhSitjwWBraGqhpqUGhiIuI63kHveCUU6T6ZXExI8IFU99a3+//lLYSeLqDX7oU1q+XINBAs22boxqrK7NmSbrr977Xdf4ZNmP7n/8M0dGSopscnYxKltroukS6O5w7CGfFZ5GTkMO6gnX25S3tLRypOcKe10Vh3HYbvPgidHbCf/8rY9q3r09vNaCEhYQxK20We8o9K8e/fPEXDlUf4s2r3iQhMoFnd3huMP/SnpcAuO8Mn5vMDiaNwBRfV/YoQKyVVry10kpwecRbK614IAO4BfhT/8cbGHRAWFWTFwk+AjhUfYgZqTMICwnreWXDsCY2IpaG1gZqW2qJj4zvd+yCKzoQtbJS3H3DXYA0tDX0ufiYprpapjq11ZWzz5ZYh0972eesqQnuvx9qffwKLEuEo6v7pScmT3ZYb8aOlRiRlJgU2hLE9eetjsnuMinzqit7fnXWV3l5z8ssfngxpQ2lFNUXYbXE0tEWxo9+JNk5L78sQbuHD8Ott3Z1BwUTU1Omsq+iuzr6ouALvvrCV/nB+z/g7Mlnc/aUs7lp4U28tPsle9E1ZyzLYkvxFm6YfwM5CTndlg82SvG6Urxme/wP2Au85uv2fToDWSutDmultRVpUBeUjIoSATKSA1Ety+JA5QHGJHqw7xpGFM4WEH/Gf2h09sSRIzYXzDAvRFbfWt9vK5K2bMR4yDI97ji58L76au/2++yz8P3vw513+rb+gQMiWvrSS2X+fJlqIZIcnUxznIgLbwJEZ3bo2hZ3HHMHoSqUjUUbue2t26SVRtVE+zFOPFHcLhddJNtPDuJwtqkpU8mvzbenvGuueukq/rPzPyREJvDoBY8C8PV5X8fC4sO8D7vtJ686j/LG8mCs/6G5D7jf9vg1cIJl8UNfN+7XLZC10vpHf7YPJNkJYtPMr80f5JEMHpVNleTX5rM4M2h/vIYBxNkCoquk+hN9Idq1C2LCY+zZNsOVhtb+W0AaGmTqSYDExUmw5d//LsGWvvLeezKt8VEDfmIrYXJqH5zqs2bJ1C5AopKpVodITIQ86Z/Gu++Ku0bXGgGJoUmMTLTHpeUk5FB7by13H3c3z+98XqqK1shOx46V39fBg7B1q2y/aFHvxzpQzEqTD2X90fX2efk1+eRW5XL3cXez+ZbN9jCBWemzSI1J5YO8D7rtR2+v+ysFG5bFaqfH58A4pXjQ1+39a4MNIpKikhgVNcreQXAkosXXuKRxPaxpGAlkxGZQUFtAZVNlQCwgCQlyt15cLCm+uufMcKSto4261rp+B/JqF4y3Ilo//7m4Rv7f//N9vzo2Ql+se2LNGonfcG6I5ys//rEEheog0ZSYFCoaK5g6VeJKQJa/9x78w+mWtayxrFuKbUx4DNfNvw4Liz+u+yM0SZBvaqqk2ibaPu7vflcqtAYrWjA4Z/VoC8dXZ3+1S0GxEBXC2ZPP5s39b9Le2TXBVBdnC+bsRaWYrxS/U4pDwC8An8Omh60AAUiPTae8aeQGoepS0ZNGTRrkkRiCgQmjJtDU3sSh6kN+z4DR5OSIOT8qLMpe8MwffJD7Afevud9v++svhXWFdFqd9viFvqKzRLxdTBcsgNtvF3eGt6wSTVkZbNokz/PzfaukevCgiI++9KiMi4Nf/cphxUmKSqKlo4Xjlrfz5ZcSw6ItIffd5xhPeWM5abHde7xMT53OhKQJFNUXMTpU2gInJ0tGkO7K+8ADvR/nQDI6djRRYVHkVjmicF/e8zJjE8faiwI6c+mMS6lsquyWDXOw6iBJUUl+DxjvL0oxVSl+qhS7keSUfEBZFidblu+hGcNagCRHJ1PRWDHYwxg08qrlXx+E5XsNg4A+iR2qPuTXPjDOLFggrdG1BcRfdXhOe/I0vv/e94MmtVeXYdf9dnyhpKS7GPBFgIDDvbVlS8/HOXBApqecAs3NvrlhDh3qW/yHO9Jj0wGYOKuS5mbJrKmqgmXL5DMothWoLmssc9tkLkSFsChL/CupaipKOSwfQ6WJt1KKhZkL7S6UlvYWPsj7gHMmn+M2+Pv0SacDcPnzl3cpSb+paBNLspYMzKB7xx6kKvr5lsXxNtHhuZiJB4a1ABnp1VDLG8uJCI0IiLndMPRwvosakxCYwOTsbEnFjQqVMu/+cMM4m6Wd0zQHk4Y2Cd7wNQbk88+laNdvftN1flWV1N1wrb3hygJbAczNm3s+lm5gt2yZTPUF3xNtbWIpmdC90Wqf0BbX5Mligd28WawkP/6xLNdumbIG9wIE4Palt5OTkMPk6KWMGgUhQ/BKNTN1Jnsr9mJZFi/ufpH61noumXGJ23VjwmO4aeFNQNffeHF9sT2eMci4FCnR8ZFSPKIUpwK9lodD8Gv1neToZHs755GILmOshsptgyGgOAuQvvYt6Ylx4ySbIrJRLkJH6472e59lDWX25werDvZ7f/6goVUEiK+m8RdflOmXX3adX1XlWyxDerrEgfhiAdECZOlSmRYVeV9/9WqprTFtWs/79gX924odXWKft327o1/L1q2SoecuBkSzYtwK8r+XT0x7jscU5WBnYeZCyhvLya3K5bW9r5ERl8GpEz1H+T54zoOkxaTxh3VS7a2prYnShlIyYjMGasg+Y1m8bFl8BZgOfAx8DxitFH9Xyr+l2IcsKdEpI9oFs69iX7991Ibhg/PdenxEYIrS6Tv15kIRICX1JV7W9o2SBsc+Cut86HA2ANS3Su96XzsKaxHgWp68qsr3Lq4LFjhiO7xx9KhYHLSg6MkCsnq1uDYu9LmFmHeSopIA6Yp7++1w/fXi3hk1SjJltm2TDL3WjlYy4rxfXCsqJDh2KKIbf+4q28XGoo0cP/Z4r7V3wkPD+cbCb7D+6HqK6orYU76Hts42uzsqGLEsGiyLpy2L84AcYAtwj6/bD2sBkhCZQENbQ7cGRyOF3eW7mZtuut8aBGdTrvbT+xvd1bWmVNx+/ghEde5qXVTXw+38ANFbF0yZzYhz0MWAU17u+wV2xQpp9teTCCkuhsxMcfno197Yv1/cL/F+0qRagFQ1VfGnP8FjjzmWjRkjYkwHZ/YUn1ZZ6blIW7AzZ/QcAC547gIOVB5gYcbCHre5as5VADy+5XF7pdjMuMzADdKPWBaVlsU/LItTfN1mWAsQ3e2zpb1lkEcSeGqaa/jzF3+235nVt9ZT3ljOhFF+cuwahjzOcR+BqqqYlSX++spicU3oWiBNTfB//+dbFocr2oqSFJVEUX1wCBD9P/PVBaPjHsrLHam3IH1epk717ZhXybWJD7qXi+hCSYmIj6QkCd7sqVz5/v0wxefi2T2TEJmAQtkDdZ1JTZXxaatWZrz3i+tQFiAJkQlcPfdqAM6afBY3Lryxx21mpc1i4qiJPLb5MQpqCwB6tBINZYa1AIkOk0A4f6YDBiOWZXHCv07gjrfv4IZXbwAc+ePjEk0NEIMQGRZpfx6owLawMAlELSuU/56uBHnffbByJTz+eO/3uad8DwrF4qzFXdIaBxMdA+KLC6ahQSwgumnan/8s05YWKC31PfgzJwdmzoTXeih0XVwsVWmVkuwZb4GrluV/ARKiQkiITHArQObOlUJ1R0tFwOmK1Z6oqBi6AgTgyYufxFpp8dbX3vLJ6qiU4hsLvsHBqoO8uPtFwkLChnUdp+EtQML9F4kfzOyr2Me2ErnFemHXCxyoPGDvAjw+afwgjswQrPS3i6s3Jk6EwnyxPmrxr5uSlZV52sozHx/+mOVjl3PGxDPYW7E3KNwwvXHB6HLkV18tgaEvvyyvS8XCbi9h3xNKwWWXSUbNYQ9Nvjs6JAhVN7ebN086FP/0p+63KS2V6qT+FCAggajVLdXd5h9zjIiebVtDATwGoYJk59TUiNVkJHHpzEsBePfgu6TGpA7rPl7DWoBoF8xQLwld11LHrW/e2sUX7oxuYb3mhjWEh4bzwNoH7BVgjQAxOKNTsgOZGTVxIuQfCoedl3HLsV/joYfgbVuX9f37e7cvy7LIq8pj4qiJnDbxNADe3P+mn0fce+pb64kKiyI0JLTHdXVdjkmTJBNk717JOimxxdb6KkAAvvY1mf7hD13nl5XBz34GX3wh/WXmzZP5c+ZAe7tUU7377u7709+HvwVIUlSSWwvIihXiotu6LoVQFeq1IF6lrYLCSBMgk5MnExseS4fVwejYXvw4hiDDWoDofhdDvRbI8seW8+CXD/KPDe5b77x54E2mp07n2DHHcvrE0/nbhr9x61u3khaTNqz9h4bes/q61Wz/1vaAHmPiRCgpDoXnn6e1OZxvfUvcAgkJ8M47vvcnASioLaCkoYTFmYuZnzGf2PBYtpcGdvy+0Js+MDrwdNIkqTba1CRWir4IkKlTpST5n/8s2Suahx+GVatg+XJ5rQuXXXCBo7y6O/EXKAGSGpPq9oYpIUHGk783hdSYVK9ZIRW2BMahmgXTV0JUiF3YDvdGosNagOgU1KHckG5fxT77CfeZHc90a3F+qPoQ7+e+z7lTzgXg7+f+3b7sjElnmBoghi7Mz5jP7PTZAT3GJKfK/+OXOnphPPEE1Nf7VstCo+v4ZCdko5RicvJk9lf20owSABraGnwOQN28WVJQk5NhhlQWZ/duhwsmvZcJSb/6FURHwy23iMsFuvZ8iY6G2bMd+969G6691nFBd2b/fonb8VcVVM3kUZPZX+H+e1qwAMoOZnt1v4AE7MLIs4AAnD35bACum3fd4A4kwAxrARIfKXllOmJ9KHKo+hAA3z/2++yr2Me/tvwLkOC+TUWbePvA23RanVwz9xpAFHP+9/L55Sm/5E9n/WmQRm0YyUzUmZUh7Zx4733861/SyVUXxvK1QRpIMT1wxKxMSZnCvop97Cn3ud9VQKhvrfe5BsjOnRL7oJTDGvH5547aIL2xgICk2P7tb+LKWW9rtrp1K1x8scRzVFVBeHjXbaZMkWqn9S6nQp2CG+bnMIOpKVOpaq5yW4dp2TJoqkwlvOBUtm+Hb32r+7jAETuTleXfsQ0Fnrn0GWrvqbXHgwxXhm90C44smKEchKrdR9cvuJ5/bPwHByrFoXzGk2fwef7nAKTFpHW5q81JyOFHK3408IM1GHAIkMjsvTS3N/P1r8try5I78t5YQI7WSiVVnbUzPWU6L+x6gRkPzuB/V/6Pc6ee68eR+05tS63dxdsT5eWS/QFyN5+aCr/8pbyOi3M0cesNZ54p0zVrJN5j/3648krZnztybFnXZWVd1/F3BoxmSorsdFvJNk6ecHKXZXrsW379J+b+Wp5bFjz0UNd97NkjwsjXNOXhRIgKsd9AD2eGtQVEZ8EM5SBUfQeRHJ3MhFETePvA2zy66VE+z/+cycmTCVEh/PTEn/oUDGcwDARpaXIxmXjzD7ukwOu00N5YQHQpd90876ZFN9nTGXeX7/bbmHtLbUutTz2W2trE0uF8F3+PU53Ivl5cMzNF6K1eLc3/LMsReOoOncrq7IaxLAmQDYQAWTF2BSEqhI8OfdRtWc74Jsjo+iP4xz8kW8eZggJ5n6Hm1DZsGdYCxJ4FM4TrgOwp30N8RDzpsemcN+U89lfu56bXpWnR61e+TsdPO7h16a2DPEqDoSu33AKJmRXdrI+TJztM675Q01xDeEi4/WZibOJYiu8qJjos2mNW2EDgqwDJzZUsFO16AbjrLnjrLbm4fvObfR/DmWfChx86KqPO9VL0WAsQ5zTooiKpURIIAZIYlcistFmsyV/TbdnRugK4ZT6zjz3KlCnyWQB8+mnX9fbvl9+LYfgyMgTIELaAFNUXMSZxDCEqhO8f933On3o+MeExnDPlHKanTu95BwbDIBEVFtVNgGRlSXpls49e0bLGMtJiu3ZMVUqRk5Bjj48aDHwVIDoDxvVCetZZ0hfmppv6PoZFi0RAPPywVDz1VtBMB6U6W5/WrpWpDoz1N0uylrC5eLO9oqfm40Mfg4KnX6pkzx4RUrGx3YVpfr7/g2MNwcWwjgEJUSFEhkYO+RiQ5Gi5fRkVPYrXruyhDKLBECREhUV1S4HXroiiIt8qgB6tO0pWfPcoxOmp0wc1ENVXAZIn5Xj81ureGZ1yu3kz3HGH95b1SUkSa+JsAdm5U6bHHef/sYH0G6psqmTMA2Oou7fOnjX0313/ZULSBOaMno1O0pswwfFZgdRJKSsTd55h+DKsLSAgmTA1Lb0oPBBkFNcXB6xxmMEQSNxZQDJtrT9cu8J6orCu0B7/4cyEpAkcrjmMZVn9HWav6ejsoK61zmcXTFSUozGcP5k2DW6+WVwoP/xhz+unpDiKe4F8B2lpMr5AcPmsy+3P91Xs4+5372bJI0t4P/d9Lpt5WZcSAePHdxUghYXQ2hoY4WYIHoa9ABkdO7pLO++hhGVZHKk5wtiEsYM9FIOh1yREJlDT3FX86xLh+T6W5imsK3RrAZk7ei71rfXsKN3hZqvAotP6fREg+/bJRTQQ5XiUkuDNffscws4bqamO1F+Qi3wgU1wXZi5k/21SC2TRw4u4b+19bCjcAMAF0y7osq62gGg9qd0xRoAMb4a/AIkbbe+mOdRobm+moa2B0XHDuxyvYXiSGp1qr+Oh0Sm6Bw/CRx/B9Bkd9oqgrtS11FHZVOlWgBw/9ngANhX10Js+AOhigL4IkN27pYFcMDBvHnz5peP10aOBr7ExOXmy3YUcokJIjUllQcYClo9Z3mW9CROkFojO0tHWEBMDMrwZ9gIkKz6rWxDUUEGf6OIjhn8+uGH4kRqTSkNbQ5cg8NhYuejt3w+XXlXL3j2h3PnX99xu/87BdwBJ6XRlUvIkIkIj2Fm2MzCD94KvAkQ3hguWTI7Fi8UF8+GH8jo/32GRCiRrbljD/WfcT+v/a6XwzkLWfWNdtwrN2tKhLR+bN0v67bjh2wjWwAgQINNSppFfm29vnz2UqGutA3y70zIYgg1951vVXNVl/qxZUvOhvrEVgOffKKOupa7LOh2dHVz+vMQQHDeme5RkWEgYM1JnDIoLxlcBUlQkdUCCxY3w1a/KdPNmsTaUlQ3M2KalTuPOY+8kNCSU8NBwIkIjuq2jx5GXJ2nLr7wiQbaBik8xBAfDXoDMHS3J8c9sf2aQR9J79El5JFTEMww/kqKSALp1RT31VCme1VYrTT7aDi3jf/v+12WdtQWSI3r6xNMJD3WpK25jSdYSPjvy2YAHovoqQPTdfLC4EVJSpCdNbq5jbPay+YOMswDZsEGmV1wxuGMyBJ5hL0DOmnwWADf/72YufO5C2jvbB3lEvqMbcekTucEwlBgVPQro3o3a+cIybUkBVI/njZ2fdFnn40MfA/DcZc953P/s9NnUtdbZ/ycDxVAVICCCY8sWmDNHXgeLdSYhQYql5eY6SvWff/6gDskwAAx7ARIRGmEXIa/tfY0txVsGd0C9QHeTnJIcgFKFBkOAGZMgrcRdC4ZNmAD/eGEvXHw1V37zMFihrF3b1Yrxfu77zBs9z+7GcUdOgjQ4GegYL18FiA6kHBtESWyTJkn/GM3ChYM3FlcWLpQmfV9+KXVLxgzvTvQGRoAAAfjjmX+0t34eDJ9xX9EnOn0naTAMJcYnjQfgcPVhOjo7+MmHP7GnYY6ffxjmPc30qeJeyT3Uxvqj6+3bbi7ebM908USwC5ADByTIMzp6IEblG6eeKtOkJCgt7d41dzA5/nhxzT32GJx4YmBSlw3BxYgQINNSp1F8VzERoRHsLhu8Bla9paalhhAVYu/qazAMJaLDo4kJj6GyqZL1R9fzi09/wcn/ls6oW4ulJviKOeNJTOqEo0vtcSC1LbXUttQyLtF7CsRgC5CestPy8sTiEExccw38+Mfw2WfBV2VUB8mClKo3DH9GhAABCA0JJTMuk6L6op5XDhK2l25nWsq0bilrBsNQISU6haL6Ir4slAIU9a31NLc3U1xfTEx4DFmJ6UycEEJC6wx73Me+in0ATBzlPUIyIy6DUBXK0dqjAX0PrtS21BIbHttjB+rKSin+FUxER8MvfiGZSMHGtGlwxhny/LzzBncshoFhWPeCcSUjLmNQO2j2loOVB5mRFqBOUQbDALAwcyEbizby5v437fOK64upaKogJToFkDLlBfvHs7VkK5ZlsbNUanvMGS2Rknv3iiUhzOVsFRoSSkZcBgV1A28B8SU1vqpKsk4MvvP665K+nJMz2CMxDAQjxgICQ0uAdHR2cKTmCDnx5p9oGLqMSxzHvop91LTUMDpWKvoW1xeTV53HuCRxsWRmQkt1MrUttVQ2VbKjdAeRoZFMGjWJt96SVva33eZ+/zkJOXx+5POBejsA1LYaARIoIiJM8bGRhBEgAeaLgi94dvuzvd4utyqXhrYG5mXMC8CoDIaBYUn2Evvzd695F5BA8EPVh+wulowMqK+KgU5FblUuO8p2MCNtBiEqlLvvlm0fekiKZ7myLHsZ+yv380XBFwF/LxpfLCAtLdDUJMGeBoPBPSNOgJQ3ltPW0TZgx7z8+cu56qWrOFB5oFfb6cA6nUlgMAxFrp57Nc9f/jybbt7E7PTZRIRGsL9iP1VNVSRHSYptZiZ0doRAYyp51XnsKN3B7PTZrF8vLePPPlv2tWdP9/3fu+JeAD478tlAvSWfBEiVrfirsYAYDJ4ZUQJkdOxoLKxuDbIChWVZ5NdK289ljy7rVcVGXbxJ+8kNhqHKZTMvY0HmAkJUCFOSp7CxaCN1rXX2Anu6VX1Y41g+yP2AgtoCZqXNYqetzct3viNTdwIkIy6DrPgstpZsDfwbsWEEiMHgH0aUANEnvJqWGu8r+omGNkf/mcqmSp86d1Y0VlDaUGoXIN4KMRkMQ43Z6bPtYiExKhFw+Pynh57Dw5setq93+LDUgjjhBFmem+t+n/NGzxvQAoNGgBgM/mFECRB9wqtpHhgBUtEoJaJ/f/rvCQ8J56ltT/W4zXnPnseZT51JQW0BCkVabJAl6xsM/SAlOsVugcyIE9PHtGmybEz7Kfb1Thp/EocPS+fc+HipJrp9u/t9zs+Yz66yXbR2tAZ07CBWzbKGsh4tk9XVMjUCxGDwzIgSIPquJdAWkG0l26hqqqKkoQSAycmTOXPymfxv//+6rdve2c6RmiMAvHPgHdYVrGNL8Rae3/U8k5MnExVm2kEahg/OFr3Z6bMB6QMSEwPZahGnTjiVR89/lLiIOA4fdlhHli6Fbdvc73N80ng6rA5K6ksCPXwqmipoam9iTKL3OuHGAmIw9MyIEiCJkYG3gBypOcK8h+bx3Xe+y+aizYB05F2StYSDlQdpaG3osv633/g24/44jncOvMOd795pn7+7fDdnTz47YOM0GAaDCaMc3c+mpky1Px83DgoPxfP+te9z48IbOXQIPv3UIUAmTJDmbm1u4se1JaW4vpi6Oghkc9yyhjIAe0qxJ4wAMRh6ZmQJEO2CCaAFZGPhRgDe2v8W7+W+R2x4LGMTxzItZRoWFrlVDkd2Q2sDj2x6BICznj6LXWW7uH7+9SzMlA5Rty3zUPzAYBiizBvtSCuPCI1wzJ8H+/Y51tN1P77xDZkuXw6trVJC3JWiHVPg3+/z0afNJCTAj37kfQzvHXyPV/a80qfx67iu+EjvZdi1ADFpuAaDZ0aWALFZQHQvh0CgBUZ1czUfHfqI86aeR1hIGJnxmQB2twzArrJdANy21CE0fnf67/jkuk/Y9e1dTE6eHLBxGgyDwez02SgU18+/vsv8rCwoLBTrRUsLvPkm3HEHnGILC1mxQqZffCEX91dfldednXDn16dB3qn88EpZ6Te/8WwFsSyLM546g4v/czFr8te4X8kLdS11AMRFxHldr6oKYmODq9mbwRBsjKhS7PqkEUgXjC501tbZRmVTJRdMuwCAzLjMLssBdpZJnuGtS29l+Zjl5CTk2Lv2mhLshuFIZFgkDT9qIDy065U5KwsaG6GmRkpxd3bCggWO5cnJMGWKCJDPPoM33oC1a6G9HRobut9HHTnivqLm0TpH35jljy3HWtk7f01pQykAaTHeg8NNFVSDoWdGlAAJDQklKSopoHVAXJvd6TgO7acuqnMsdy457ewPNxiGM9Hh3bs7Z2XJtLAQ9u+X51OmdF1n6VJ4+mnH69dfh8hISdUNSd9DZlYH/75vFqeeKu4cdwJEx3Boappr7K5ZX9A3EPr/7AkjQAyGnhlRLhiACUkTyK32UFDAD7gKkFHRchaKi4gjMjSSskbHCXBn2U5mps3ssaumwTDcyc6WaWEh7Nghz2fO7LrOaad1ff3RR1BQAOnpMHPlFSz6wY/tKb1axLii6+v84LgfAJKx1huK64sJDwm3/689UV1tBIjB0BMjToCMTxpvT3sNBAW1BZwz5RwAvr342/b5SklNDy1A2jvb2VS0iVnpQdgX22AYYJwtIDt2iPUi3iXO8+tfl9iQP/0Jvv1tKdNeVCSVVDPiMiiqLyIrS1rO79rl/jja+nnyhJMBel1BtaShhNFxowlR3k+dxgJiMPTMiBMgOQk59j4rIEFpj21+jEPVh/yy/4LaAqanTKfmnhr+es5fuyxLi0mzm4A3FG6gtKGUc6ec65fjGgxDmUwJkaKwUAqOzXKjy5WSvjC33y7WkdpaWL0aJk2CzPhMiuuLUUqawD34oLhoXNlTvgeF4oRxJ5AcncyO0h29GmdxfXGP7hcwAsRg8IURKUBqW2rtmTCv7HmFG1+7ka+/8vV+77u1o5XGtkaSo5NJiExAKdVlubMF5GDlQaBrWqLBMFKJjYXERNi8WSwby5Z5X3+GLUa7rk7ESkasdLq2LIvvfleWPf549+3KGssYFT2KmPAYsuOze90du6yxrMcAVDACxGDwhREpQACO1ko0/P1r7wfgk8Of0NHZ0a996yJjsRGxbpc7W0DWFqwlLiLO3pLcYBjpZGVJZgt0zYBxx9y5judLlogFpLWjlcqmSh54AK69Ft57D+rru25X2VRpr8bqfEPgK87be6KtTY5rBIjB4J0RK0AKaguwLIvP8z+3L/uy8Mt+7bu+Vc52nmoEpMU4TniHqg8xOXkykWGR/TqmwTBcyMqCfGkebQ8m9URqquP5CSd0T3P/yldEBPzPpftBZVMlo6JEGaTHpnfLiumJqqaqHgWI7gNjipAZDN4ZcQJkTIL0cCioLeBglbhBfnrCTwH63VFTV0n0KEBi06hvrae5vZlD1YfIjs/u1/EMhuHEpEkyjYqCyT7U4PvRj+CWW8R1Y09zry/isyOfUZX5X0aNgnff7bpNVbNDQKTFpNnrevhCR2cH1c3VdgHjCVOG3WDwjREnQLLiJdy+oLaAt/a/BcAF0y4gKiyKTUWb+rVvHVcSG+7eBZMemw6I9WNn2U4WZS7q1/EMhuHEbOlNR2YmhPhwZvrlL+Ghh+S5FiAl9SVc9NxFXP3aV5g8rYVcl4z7Li6YmDRqWmp87qJb01KDhdWjBcQIEIPBN0acAIkMiyQ9Np382nx++P4PAZgzeg7LxyzvtwVEp/dqN48rYxPHArA2XxzdJv7DYHCwYoVkutx+e++31eJ+Y9FGKpoqAIjJOci6dV0b2FU1VdktGGmxEkzqa2HCqiZRFr7UAAEjQAyGnhhxAgREIDy741ma2pv4wXE/ICI0gglJEzhYdZBOq7PP+61olBPf6Dj3nTLHJUppxs+OSEetnlp6GwwjifnzpbT6HXf0fttR0aNIjk7mgXUP2OcdCH+JlhYotXlZOq3OLi4Y3dHW10yYvOo8wPMNhsZYQAwG3xiRAmTu6LnUt9YTGRrJT078CQCLsxZT2VRJXlVen/fb2NYIQEx4jNvl2gLyzsF3AEc8isFgEEJCxArSFyYkTQAgPiKen57wUwqtzYBDgNS11NFpddotGFNSpNb73vK9Pu1/Z6n0bpqV5r14oBEgBoNvjEgBoi/8WfFZ9oBRfVfTnz4xTe1NAESHde91AdID47gxx9kbYvV0J2UwGHxndroEkYxPGs/CzIVYMWLZKLE1oNb/be2CGZ80HqBLYUJv7CrbRUp0it3d4wkjQAwG3xiRAkR3nE2JSbHP0891r4i+0NjWSIgKISI0wuM6F027yP7cXVMug8HQN06bKM1iFmctZlzSOIgV5aEtIHvK9wDYGz/GhscSHRbtcybMrvJdzEyb2a3AoCtVVVIOPtJk2BsMXhmRAmRh5kIAEiMdXTDjI6TxhM5k6QuNbY1Eh0V7PUFdPfdqAFKiUzyuYzAYes/lMy/n0fMf5YEzHxArZ1xXAaJjPXTslVKK9Nh0Sht7FiCWZbGzVJpH9oSpgmow+EbYYA9gMDhuzHH8vxX/j2vmXWOfp09K/ekJ40tr78z4TB674DGW5fRQa9pgMPSKyLBIblx4IyCCITq2kybVSW2t3GdpF4yz+E+PTffJAlLSUEJVc5XPAsQUITMYemZECpAQFcLPT/l5l3kJkQnEhMf0ujSzMzUtNSRFJfW43vULru/zMQwGQ88opRiXNJb9ES00Noqrs6KpgqiwqC5B4umx6RTWFfa4v20l24CeA1BB0nCNBcRg6JkR6YLxRHxEPHUtdX3evqalpotbx2AwDB7jk8ZDRAO1tRYgFpDUmNQuLlJfLSBr89cSokJYkr2kx3WNC8Zg8A0jQJyIj4ynrrXvAqS2pZaEyAQ/jshgMPSVsyadRUd0EUcKJTutvLG8W+yVFiCWZXndV251LplxmT79v40AMRh8wwgQJ+Ij4vsdhOqpBojBYBhY5o6eC7ElHCmUUqgVTRX2DDjN6NjRtHW2UdNS43E/lmXx6eFPZX9d5sNll0kFV+d5ZWWQYmLMDYYeMQLEieyEbHaX7+7z9k1tTSa11mAIEqamTIWYcioqurpgnNE1Pby5YV7c/SJ51XmcM+WcLvPXr4cXX4TPPoNiWzHV6mpoaIAxpsagwdAjRoA4sTRrKblVuTS3N/dp+6b2Jo9FyAwGw8CSFZ9FWEwjdU5ZMO5cMOBZgFiWxa8+/RWZcZl8c/E3uyxbu9bx/MsvZVpoi2fNNo2uDYYeMQLECV2aWRcs6i1NbUaAGAzBglKKjNRomusjae/ooKqpqpsFJCFkNOw/k+K6Erf72Fayjc3Fm/nq7K8SFtI1aXDvXikdHxICm6XqO+W2QsppaX5/OwbDsMMIECeWZi8F4MujX/Zp+6b2JhMDYjAEERmjLaz2SPKKqrGwugmQ718/DZ5+m//8M8Pt9l8WyrngW4u/1W3Z3r2wdClkZMDhwzKvzJbFn5rabXWDweCCESBOjEscR3J0Mm8eeLPX21qWRXN7s4kBMRiCiDHjOgDYtleCy53bLzz+OHy2Wuqlf/rqJLfbbyvZRnxEPJOTJ3eZb1mwZw9MmyYCRMeAaAuIESAGQ88YAeJEaEgop088nU1Fm+zzjtQcYdHDi7jsv5d5LVik40aMC8ZgCB7GZktfpm25ohC0BaSuDu66S9Jlo1b8lZLcDOrru29/pOYI45LGdWuvsG8fFBWJBSQzU56DESAGQ28wAsSFRZmLOFJzxN6i+4G1D7CpaBMv7n6Rq168yuN29k64xgJiMAQNE7KkbsfOQxJkqgXIO+9IvY5nn4XkKQcAsWg4Y1kW6wrWua1+umuXTBcv7i5AEhIgwnM/SoPBYMMIEBeOH3s8AHnVeQAUNxTbl60+vJrD1YfdbtfUZhMgxgJiMAQNMydJZeKt+6XL9djEsYAIkORkOO00yJl5FJC0Wmdyq3IpaSjhlAmndNvvZ59Jt9vZs8UFU1oKHR0iQIz1w2DwDSNAXMhJyAEgvyYfkIyY0yaexqfXfwrgsU7I/2/v3oPjKs87jn8fa2VZliUkWbZ1M7YlX8A1BhsnYOKW2wCFFAL1jBuGSZjpdKZppxdm0kkCbacwIdMEOp02eDIdxplOL0BTSOskMCU0JJRL4nIxRtjYWJYxIFm2XMlGN8u20Ns/3nellSXbWuns2ZX295nZOUfn7Dl+H6929ezzvuc9/Wf6AVVARHJJ46JqKDnCgQOfUltaO1wB+fnP4aqroKAA1q1YAAWn+eij0bOhvt7mM5Lk4PRUH34IS5fC3Ll+zo+hIT8oVQmIyMQpATlL9bxqZtksWrtbae5sZteRXXym9jM0VvhBagePHxz3uOEuGFVARHLG0vKlFFZ0QG81q+avAny14uBBuP56/5zPLt4A8w6zp+XEqGNfOPgCZUVl43bBHDgAjWHc6k03+eXLL0NbGyxalKloRGYWJSBnKSwopHpeNa3drTz6y0cBuG3FbVTPq6Y4UUxLV8u4xw13wagCIpIzZtksVi+thN4aakprAH/1C4wkIDc33gxlrbzXMno69jfa3uDaJdeSmFVI6q1inIOWlpEEpN4XTWlv94NTL7kkkxGJzBxKQMaxtHwpLxx8gR2tO/j8is+z6eJNmBkNFQ0cPKEKiMh0sn5FHeWDl/LoTf4LxRNPwGWXwZVX+v11pXWULviEgx+d5tTgKQCG3BAtx1uoL1hHVRWsXevHeICvfvT2wvJwZW5hIdTWwrPPwunTSkBEJkoJyDjuXHUnrd2tvNvxrr+ld9BQ0XDuLhhVQERyUk2N0dM1l+qSWpzz3S833gjJK2vNjBsuXwmf1HP/zx4AoLW7lYHBAfp2X09XF+ze7btYALZu9WNH7rpr5N+45hrYGa7ev/TSGIMTmcaUgIxjfc36cdcbKhpo6WoZ99bdqoCI5Kbqal+96Oz0M5X29UFDw+jn/Maa5TA4l9f2++trmzubAejYu5Li8JbescN3vWzdCrfcMvqGc6tX+2VBwci6iJxf4sJPyT+XV18+vH51/dXD640VjfSd6eNY/7Hhm1gldZ/yMy3Omz0vnkaKyITU+KEffPyx7yKBsQnI4sW+HLK75TjOOZq7fALy4d4qNm70icebb0JJib/i5dFHRx9/333wzjtw3XVw0UWZi0VkJlECMo7UO2ZeUjXSodtQ4T+1WrpaxiQgh04cwrDhy3hFJDesXeuXTU1+BlTwU6inSt69tr+znGP9x2jubKbISnh/byGb74Jly+Dpp+HECVixYmyVo6ICtm/PZBQiM4+6YMZhZjz520/y2K2PMctG/ouSCcihE4fGHHO09yhVc6soShTF1UwRmYBkV8nhw/DGG75LZvnoW7uM3L22fwFNR5to7mpmiW1iaMhYsgTuvBO6u/38IddeG2frRWYuVUDO4e7L7h6zLTmJUefJzjH7+gf7dSdckRxUXAzl5bBnDzz/vB+AerbhycP6q2g62sTO9p00nvwT9uMHlSarKDB6XUQmTxWQNFQUVwDQdbJrzL6TZ07qChiRHLVxIzz5JHR1webNY/eXl0Mi4UgM1PLKR6/Q1tNGDX4A+uLFUFoKzzzju2puvjnetovMVEpA0pCYlaB0dum4Ccgnpz7RAFSRHPW5z/nlHXfAli1j95tBVZVRO2st2/dtB6B8yHe5Jqsjmzf7gaxnjx8RkclRApKmyuJKjg8cH7N9T8eeUQNWRSR3fO1rfvzH9u0j83+cbcECKB0cuTwmcbKOOXP8/V6SznWsiKRPCUiaKoorxlRAhtwQbT1tNJQ3nOMoEcmmwkLYsOH8CcSiRfBpt7+Ry/qa9TTvK9KcHiIZpAQkTZXFlRw/OboC0nu6F4DSotJsNElEIrBqFRz+oJQHNj3Attu30d4+erIxEYmWEpA0zS+eT0dfx6htwwnIbCUgItPVwoXQ3W08dO23WFezjqNHUy7PFZHIKQFJU21pLe297aO29ZzysxupAiIyfVX4i9w4ccJPWNbRMXLHWxGJnuYBSVNdaR29p3vpOdUznHB8csrfxlsVEJHpK5mAHD8Og4N+fcmS7LVHZKZTBSRNtaW1ALT1tA1v29+5H4DllcvHPUZEct8iP/6Uw4d9EgJQWZm99ojMdEpA0pRMQA73HB7e1t7ju2R0HxiR6WvZMr88dMhPWAYjVRERiZ4SkDStnL8SgF1Hdg1v6+jrYE5ijiYiE5nGkhWQY8fgyBG/rkGoIpmjMSBpqiuro2puFc2dzcPbjvUfY8HcBZhmKRKZtubNg4IC3/3S1gYlJRoDIpJJSkAmob6snn2d+4Z/7ujrYGHJwiy2SESmysxXPI4c8Xe+ra+HWaoRi2SM3l6TcMfKO3jp0EvsaN0BhApIiWq1ItNdYyMcOOArIHV12W6NyMymBGQSvnrNVykrKuOh/3mIM5+eUQVEZIaor4f2dp+A1GtMuUhGqQtmEsqKytiyegvb3t5G2bfLAFgwVxUQkelu/nw/CLW3VxUQkUxTBWSSvr7p6wAMDA4wMDhAXak+rUSmu7o6PxPq4KASEJFMUwIyScsrl7Pt9m3DPzdWas5mkeluzZqR9eS8ICKSGUpApuCetfcMrzdWKAERme4uvXRk/cors9cOkXygMSBTMCcxh4evf5hXP36VVVWrst0cEZmi5cvh7rth9uyRiclEJDPMORf5SUtKSlxfX1/k5xUREZH4mVm/c64kynOqC0ZERERipwREREREYqcERERERGKnBERERERipwREREREYqcERERERGKnBERERERipwREREREYqcERERERGKnBERERERipwREREREYqcERERERGKXkZvRmdkQcDLyE+e2BDCY7UZkQb7GDfkbe77GDfkbe77GDfkb+9lxFzvnIi1aZCQByUdm9qZzbkO22xG3fI0b8jf2fI0b8jf2fI0b8jf2OOJWF4yIiIjETgmIiIiIxE4JSHQez3YDsiRf44b8jT1f44b8jT1f44b8jT3jcWsMiIiIiMROFRARERGJnRIQERERiZ0SkHMws8Vm9gsz22tme8zsT8P2SjP7bzNrDsuKlGPuN7MDZva+md2Ssv1KM3s37PuumVk2YpqIiON+3szeCef5BzMryEZMExVx7LPN7HEz229m+8xsczZimoiI4/4dM2sK53kkG/GkI93YzWx+eH6vmW1NOc9cM3suvNZ7zOzb2YppIqKKO+x7Kfwe7AqPhdmIaaIijv3u8NneFD7vqrIR00RMIu6bzOytEN9bZnZDyrm+ZWYfm1nvlBrlnNNjnAdQA6wP66XAfmA18AjwjbD9G8B3wvpq4B2gCFgGtAAFYd/rwEbAgP8Cbs12fDHFXRaWBvwQ+GK244sx9oeAh8P6LKAq2/FlOm5gPvARsCA875+AG7MdX8SxlwCbgK8AW1POMxe4PqzPBl6ZYe/zceMO+14CNmQ7piy85gmgI/neDsc/mO34Iox7HVAb1tcAbSnnujqcr3cqbVIF5Bycc+3OuZ1hvQfYC9QBX8B/sBKWd4b1LwD/5pw75Zz7ADgAfNbMavB/iH/l/Cv3zynH5Jyo4g7Hd4fnJPAfyjk94jnK2IHfBf46nGvIOfd/sQQxCRHG3QDsd84dC8/7GZCzlR9IP3bnXJ9z7lVg4Kzz9DvnfhHWTwM7gfo4YpiMqOKejiKM3cKjxMwMKAMOZzyASZpE3G8755Lx7AHmmFlR2LfDOdc+1TYpAZkAM1uKzwb/F1iU/I8Py2S5sQ74OOWw1rCtLqyfvT3nTTHu5Dl+iv+W0AM8k/lWR2MqsZtZefj5m2a208yeNrNFsTR8iqb4mh8ALjGzpWaWwH+QLY6n5VM3wdgncp5y4HbgxehbGb2I4v7H0P3yl+GP8bQwldidc2eAPwDexSceq4HvZ7K9UZlE3JuBt51zp6JshxKQCzCzefjug/tSvtGP+9RxtrnzbM9pEcTtV5y7BV+qKwJuGOe5OSeC2BP4b7+vOefWA78C/ibyhkZsqnE7547jP5B/gO+COMQ0uYdGGrFf6DwJ4Cngu865g1G1L1Miivse59xlwK+Hx5eial8mTTV2MyvE/76vA2qBJuD+SBuZAenGbWa/BnwH+P2o26IE5DzCL9gPgSecc/8RNh8N3SqEZUfY3srob3v1+Ky4ldGl2OT2nBVR3MOccwPAj/GlvpwWUeydQD/wn2H708D6DDd9SqJ6zZ1zP3HOXeWc2wi8DzTH0f6pSDP2C3kcaHbO/V3kDY1YVHE759rCsgd4kpFuyJwVUexXADjnWkL3+r8D12SmxdFIN24zq8d/jn3ZOdcSdXuUgJxDKCN+H9jrnPvblF0/Bu4N6/cCP0rZ/kUzKzKzZcAK4PVQ0uoxs6vDOb+cckzOiSpuM5uX8kudAG4D9sURw2RF+Jo74CfAdeF5NwLvZbj5kxZV3OFcC8OyAvhDYFvmI5i8ScR+vnM9DFwE3BdxMyMXVdxmlkhe+RH+uP0WsDv6Fkcnwte8DVhtZgvCzzfhx1XkpHTjDl2JzwH3O+dey0ij0hmxmk8P/Khnhy+r7QqP2/Aj/V/Ef7N7EahMOebP8VcEvE/KCHhgA/5N2QJsJcxAm4uPqOIGFgFvhPPsAR4DEtmOL8bXfAnwcjjXi8DF2Y4vprifwidb75HjVz1NIfZDQBfQi68GrcZXgRz+D1DyPL+X7fhiiLsEeCvlff73hCvBcvURVexh+1fCa96E/9IxP9vxRRU38BdAX8pzdwELw75Hwv/DUFg+OJk2aSp2ERERiZ26YERERCR2SkBEREQkdkpAREREJHZKQERERCR2SkBEREQkdkpARGQM8141s1tTtm0xs+ez2S4RmTl0Ga6IjMvM1uBncV2Hv9vtLuA33SRmRDSzAufcp9G2UESmMyUgInJOZvYIfjKikrBcAlyGv9/Ng865H4UbW/1LeA7AHznnfmlm1wF/BbQDVzjnVsfbehHJZUpAROSczKwEf2v508CzwB7n3L+GaZpfx1dHHDDknBswsxXAU865DSEBeQ5Y45z7IBvtF5Hclch2A0Qkdznn+szsB/gpqLcAt5vZn4Xdc4CL8Tei22pmVwCfAitTTvG6kg8RGY8SEBG5kKHwMGCzc+791J1m9iBwFLgcP7B9IGV3X0xtFJFpRlfBiMhE/RT443BXTcxsXdh+EdDunBsCvoQfsCoicl5KQERkor4JFAJNZrY7/AzwPeBeM9uB735R1UNELkiDUEVERCR2qoCIiIhI7JSAiIiISOyUgIiIiEjslICIiIhI7JSAiIiISOyUgIiIiEjslICIiIhI7P4fzvVOlZY878UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 648x396 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# line graph showing Euro to yen and aus dollar\n",
    "fig, ax = plt.subplots(figsize=(9,5.5))\n",
    "ax.plot(japanese_yen[\"date\"], japanese_yen[\"rolling_mean_30\"], color=\"green\")\n",
    "ax.set_ylabel('Japanese yen', color=\"green\")\n",
    "ax.set(yticks=[])\n",
    "ax2 = ax.twinx()\n",
    "ax2.plot(australian_dollar[\"date\"], australian_dollar[\"rolling_mean_30\"], color=\"blue\")\n",
    "ax2.set_ylabel('Australian dollar', color=\"blue\")\n",
    "ax2.set(yticks=[])\n",
    "ax.set(xlabel='Year')\n",
    "ax.xaxis.set_major_locator(years) # format the x ticks\n",
    "ax.xaxis.set_major_formatter(years_fmt)\n",
    "fmt_three_years = mdates.MonthLocator(interval = 36) # Major ticks every 3 years\n",
    "ax.xaxis.set_major_locator(fmt_three_years)\n",
    "fig.suptitle(\"Euro to Two Traded Currencies\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "days = new_frame\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.plot(new_frame[\"date\"],new_frame[\"chinese_yuan_rolling_30\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# big_list = []\n",
    "# for col in x_rates.columns:\n",
    "#     big_list.append(col)\n",
    "    \n",
    "# big_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: center;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>australian_dollar</th>\n",
       "      <th>bulgarian_lev</th>\n",
       "      <th>brazilian_real</th>\n",
       "      <th>canadian_dollar</th>\n",
       "      <th>swiss_franc</th>\n",
       "      <th>chinese_yuan</th>\n",
       "      <th>cypriot_pound</th>\n",
       "      <th>czech_koruna</th>\n",
       "      <th>danish_krone</th>\n",
       "      <th>estonian_kroon</th>\n",
       "      <th>uk_pound</th>\n",
       "      <th>greek_drachma</th>\n",
       "      <th>hong_kong_dollar</th>\n",
       "      <th>croatian_kuna</th>\n",
       "      <th>hungarian_forint</th>\n",
       "      <th>indonesian_rupiah</th>\n",
       "      <th>israeli_shekel</th>\n",
       "      <th>indian_rupee</th>\n",
       "      <th>iceland_krona</th>\n",
       "      <th>japanese_yen</th>\n",
       "      <th>korean_won</th>\n",
       "      <th>lithuanian_litas</th>\n",
       "      <th>latvian_lats</th>\n",
       "      <th>maltese_lira</th>\n",
       "      <th>mexican_peso</th>\n",
       "      <th>malaysian_ringgit</th>\n",
       "      <th>norwegian_krone</th>\n",
       "      <th>new_zealand_dollar</th>\n",
       "      <th>philippine_peso</th>\n",
       "      <th>polish_zloty</th>\n",
       "      <th>romanian_leu</th>\n",
       "      <th>russian_rouble</th>\n",
       "      <th>swedish_krona</th>\n",
       "      <th>singapore_dollar</th>\n",
       "      <th>slovenian_tolar</th>\n",
       "      <th>slovak_koruna</th>\n",
       "      <th>thai_baht</th>\n",
       "      <th>turkish_lira</th>\n",
       "      <th>us_dollar</th>\n",
       "      <th>south_african_rand</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2608</th>\n",
       "      <td>2009-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2609</th>\n",
       "      <td>2009-01-02</td>\n",
       "      <td>1.9884</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>3.2456</td>\n",
       "      <td>1.6942</td>\n",
       "      <td>1.4874</td>\n",
       "      <td>9.4608</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.8250</td>\n",
       "      <td>7.4499</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9610</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.7472</td>\n",
       "      <td>7.3346</td>\n",
       "      <td>265.4800</td>\n",
       "      <td>15,391.2600</td>\n",
       "      <td>5.2522</td>\n",
       "      <td>67.1250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.6400</td>\n",
       "      <td>1,833.0900</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.1718</td>\n",
       "      <td>4.8080</td>\n",
       "      <td>9.6950</td>\n",
       "      <td>2.3969</td>\n",
       "      <td>65.3100</td>\n",
       "      <td>4.1638</td>\n",
       "      <td>4.0350</td>\n",
       "      <td>40.7819</td>\n",
       "      <td>10.8425</td>\n",
       "      <td>2.0265</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.2120</td>\n",
       "      <td>2.1380</td>\n",
       "      <td>1.3866</td>\n",
       "      <td>13.0618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2610</th>\n",
       "      <td>2009-01-05</td>\n",
       "      <td>1.9189</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>3.1619</td>\n",
       "      <td>1.6475</td>\n",
       "      <td>1.5060</td>\n",
       "      <td>9.2781</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.7600</td>\n",
       "      <td>7.4488</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9358</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.5303</td>\n",
       "      <td>7.3026</td>\n",
       "      <td>267.1300</td>\n",
       "      <td>15,076.0200</td>\n",
       "      <td>5.2355</td>\n",
       "      <td>65.8930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.8100</td>\n",
       "      <td>1,799.5200</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.5292</td>\n",
       "      <td>4.7503</td>\n",
       "      <td>9.3950</td>\n",
       "      <td>2.3301</td>\n",
       "      <td>64.0800</td>\n",
       "      <td>4.1360</td>\n",
       "      <td>4.0490</td>\n",
       "      <td>39.5915</td>\n",
       "      <td>10.7075</td>\n",
       "      <td>1.9987</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4620</td>\n",
       "      <td>2.0897</td>\n",
       "      <td>1.3582</td>\n",
       "      <td>12.8655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2611</th>\n",
       "      <td>2009-01-06</td>\n",
       "      <td>1.8727</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>2.9517</td>\n",
       "      <td>1.5850</td>\n",
       "      <td>1.5018</td>\n",
       "      <td>9.1138</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.4100</td>\n",
       "      <td>7.4530</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.3369</td>\n",
       "      <td>7.2835</td>\n",
       "      <td>266.6700</td>\n",
       "      <td>14,665.2000</td>\n",
       "      <td>5.1477</td>\n",
       "      <td>64.8270</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.8400</td>\n",
       "      <td>1,753.5800</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7070</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.7949</td>\n",
       "      <td>4.6789</td>\n",
       "      <td>9.3850</td>\n",
       "      <td>2.2700</td>\n",
       "      <td>62.5700</td>\n",
       "      <td>4.0200</td>\n",
       "      <td>4.0675</td>\n",
       "      <td>38.8859</td>\n",
       "      <td>10.5675</td>\n",
       "      <td>1.9719</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.7550</td>\n",
       "      <td>2.0256</td>\n",
       "      <td>1.3332</td>\n",
       "      <td>12.4521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2612</th>\n",
       "      <td>2009-01-07</td>\n",
       "      <td>1.8831</td>\n",
       "      <td>1.9558</td>\n",
       "      <td>2.9977</td>\n",
       "      <td>1.6061</td>\n",
       "      <td>1.5006</td>\n",
       "      <td>9.2908</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.1170</td>\n",
       "      <td>7.4522</td>\n",
       "      <td>15.6466</td>\n",
       "      <td>0.9043</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.5398</td>\n",
       "      <td>7.3019</td>\n",
       "      <td>266.1400</td>\n",
       "      <td>14,750.5800</td>\n",
       "      <td>5.2685</td>\n",
       "      <td>66.3640</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.7700</td>\n",
       "      <td>1,780.1300</td>\n",
       "      <td>3.4528</td>\n",
       "      <td>0.7069</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.2717</td>\n",
       "      <td>4.7589</td>\n",
       "      <td>9.3915</td>\n",
       "      <td>2.2717</td>\n",
       "      <td>63.1500</td>\n",
       "      <td>3.9747</td>\n",
       "      <td>4.0995</td>\n",
       "      <td>39.9068</td>\n",
       "      <td>10.5763</td>\n",
       "      <td>1.9990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.3510</td>\n",
       "      <td>2.0672</td>\n",
       "      <td>1.3595</td>\n",
       "      <td>12.7150</td>\n",
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      ],
      "text/plain": [
       "        date      australian_dollar      bulgarian_lev       brazilian_real       canadian_dollar        swiss_franc         chinese_yuan      cypriot_pound     czech_koruna         danish_krone        estonian_kroon          uk_pound        greek_drachma   hong_kong_dollar       croatian_kuna      hungarian_forint     indonesian_rupiah     israeli_shekel        indian_rupee      iceland_krona     japanese_yen          korean_won        lithuanian_litas       latvian_lats      maltese_lira     mexican_peso       malaysian_ringgit     norwegian_krone    new_zealand_dollar     philippine_peso       polish_zloty         romanian_leu        russian_rouble        swedish_krona      singapore_dollar    slovenian_tolar  slovak_koruna       thai_baht          turkish_lira           us_dollar       south_african_rand \n",
       "2608 2009-01-01                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN                  NaN                  NaN      NaN                        NaN                  NaN                  NaN                  NaN      NaN                       NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN                  NaN       NaN             NaN                        NaN                  NaN                  NaN                  NaN\n",
       "2609 2009-01-02               1.9884               1.9558               3.2456               1.6942               1.4874               9.4608      NaN                    26.8250               7.4499              15.6466               0.9610      NaN                    10.7472               7.3346             265.4800          15,391.2600               5.2522              67.1250      NaN                   126.6400           1,833.0900               3.4528               0.7083      NaN                   19.1718               4.8080               9.6950               2.3969              65.3100               4.1638               4.0350              40.7819              10.8425               2.0265       NaN             NaN                    48.2120               2.1380               1.3866              13.0618\n",
       "2610 2009-01-05               1.9189               1.9558               3.1619               1.6475               1.5060               9.2781      NaN                    26.7600               7.4488              15.6466               0.9358      NaN                    10.5303               7.3026             267.1300          15,076.0200               5.2355              65.8930      NaN                   126.8100           1,799.5200               3.4528               0.7070      NaN                   18.5292               4.7503               9.3950               2.3301              64.0800               4.1360               4.0490              39.5915              10.7075               1.9987       NaN             NaN                    47.4620               2.0897               1.3582              12.8655\n",
       "2611 2009-01-06               1.8727               1.9558               2.9517               1.5850               1.5018               9.1138      NaN                    26.4100               7.4530              15.6466               0.9176      NaN                    10.3369               7.2835             266.6700          14,665.2000               5.1477              64.8270      NaN                   125.8400           1,753.5800               3.4528               0.7070      NaN                   17.7949               4.6789               9.3850               2.2700              62.5700               4.0200               4.0675              38.8859              10.5675               1.9719       NaN             NaN                    46.7550               2.0256               1.3332              12.4521\n",
       "2612 2009-01-07               1.8831               1.9558               2.9977               1.6061               1.5006               9.2908      NaN                    26.1170               7.4522              15.6466               0.9043      NaN                    10.5398               7.3019             266.1400          14,750.5800               5.2685              66.3640      NaN                   126.7700           1,780.1300               3.4528               0.7069      NaN                   18.2717               4.7589               9.3915               2.2717              63.1500               3.9747               4.0995              39.9068              10.5763               1.9990       NaN             NaN                    47.3510               2.0672               1.3595              12.7150"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "late_2000s = x_rates[x_rates[\"date\"].dt.year.between(2009,2013)]\n",
    "late_2000s.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Volatility\n",
    "Determining volatility of the eight currencies for the past two decades illustrates part of the story of the twenty-first century."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 720x1008 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# function to get log of daily rate\n",
    "def logarizer(dataset):\n",
    "    dataset[\"log_rate\"] = np.log(dataset.iloc[:,1]/dataset.iloc[:,1].shift()) # getting the log of the exchange rate\n",
    "    return dataset[\"log_rate\"]\n",
    "\n",
    "# function to get overall volatility\n",
    "volatility_dict = {}\n",
    "def volatizer(dataset):\n",
    "    column_headers = list(dataset.columns.values)\n",
    "    currency_name = column_headers[1]\n",
    "    volatility = dataset[\"log_rate\"].std()*253**.5 # volatility measured by standard deviation * 253 trading days per year\n",
    "    volatility = round(volatility, 4)*100\n",
    "    volatility_dict[currency_name] = volatility\n",
    "\n",
    "# calling logarizer on all eight currencies\n",
    "for currency in c_list:\n",
    "    logarizer(currency)\n",
    "    \n",
    "# calling volatizer on all eight currencies\n",
    "for currency in c_list:\n",
    "    volatizer(currency)\n",
    "\n",
    "# line graph showing log exchange rates of each currency\n",
    "plt.figure(figsize=(10,14))\n",
    "for i, currency in zip(range(1,9), c_list):\n",
    "    plt.subplot(4,2,i)\n",
    "    currency[\"log_rate\"].plot.hist(bins=50)\n",
    "#     plt.title(currency) # will get ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n",
    "plt.show()\n",
    "\n",
    "# plt.title(\"Romanian volatility: \" + str(romanian_leu[\"volatility\"]) + \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'us_dollar': 9.66,\n",
       " 'japanese_yen': 11.74,\n",
       " 'uk_pound': 8.110000000000001,\n",
       " 'australian_dollar': 10.56,\n",
       " 'israeli_shekel': 9.83,\n",
       " 'philippine_peso': 10.57,\n",
       " 'malaysian_ringgit': 9.47,\n",
       " 'romanian_leu': 8.16}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "volatility_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# import geopandas and other libraries\n",
    "# import geopandas as gpd\n",
    "# import seaborn as sns\n",
    "# import os\n",
    "# map_data = gpd.read_file(\"World_Countries__Generalized_.shp\")\n",
    "# map_data[\"Volatility\"] = None\n",
    "# map_data.head()\n",
    "\n",
    "# map_data.shape\n",
    "# map_data.plot(figsize=(15,13))\n",
    "# map_data[map_data[\"COUNTRY\"] == \"United States\"].plot(color = \"green\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Volatility Continued\n",
    "stuff\n",
    "## Mapping\n",
    "stuff"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Citations\n",
    "1.  Eichengreen, Barry (2019). Globalizing Capital: A History of the International Monetary System (3rd ed.). Princeton University Press. pp. 7, 79. ISBN 978-0-691-19390-8. JSTOR j.ctvd58rxg.\n",
    "2. https://en.wikipedia.org/wiki/Bretton_Woods_system\n",
    "3. Lowenstein, Roger (August 5, 2011). \"The Nixon Shock\". www.bloomberg.com. Bloomberg. Retrieved March 25, 2019.\n",
    "4. Bank for International Settlements. \"Foreign Exchange Turnover in April 2019.\" Accessed Oct. 3, 2020.\n",
    "5. https://fxssi.com/the-most-traded-currency-pairs"
   ]
  }
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