diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..e459e6b70a3e555fe008e53f7b306e637a8d9369 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,31 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "data = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, \n", + " 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, \n", + " 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, \n", + " 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, \n", + " 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, \n", + " 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, \n", + " 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1,\n", + " 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, \n", + " 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, \n", + " 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +42,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..c58f6fc28c0f9290c338c8fd96c0298b3a6554cd 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -28,10 +28,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" @@ -61,9 +59,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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520242933956032592.046528.05949.069.0FRFrance
620242835434245781.062903.08168.094.0FRFrance
720242734736440234.054494.07160.082.0FRFrance
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1120242333587530610.041140.05446.062.0FRFrance
1220242233377228274.039270.05143.059.0FRFrance
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1820241632888223305.034459.04335.051.0FRFrance
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2220241234063934582.046696.06152.070.0FRFrance
2320241135026843331.057205.07565.085.0FRFrance
2420241036010752623.067591.09079.0101.0FRFrance
2520240937112162920.079322.010795.0119.0FRFrance
26202408310456694520.0114612.0157142.0172.0FRFrance
272024073138078127050.0149106.0207190.0224.0FRFrance
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292024053216237203595.0228879.0324305.0343.0FRFrance
.................................
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2078 rows × 10 columns

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213.0 FR France \n", + "\n", + "[2078 rows x 10 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -78,9 +1043,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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2077 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202434 3 28229 21391.0 35067.0 42 32.0 \n", + "1 202433 3 20795 15392.0 26198.0 31 23.0 \n", + "2 202432 3 23187 17532.0 28842.0 35 27.0 \n", + "3 202431 3 26035 20267.0 31803.0 39 30.0 \n", + "4 202430 3 36393 28593.0 44193.0 55 43.0 \n", + "5 202429 3 39560 32592.0 46528.0 59 49.0 \n", + "6 202428 3 54342 45781.0 62903.0 81 68.0 \n", + "7 202427 3 47364 40234.0 54494.0 71 60.0 \n", + "8 202426 3 44219 36956.0 51482.0 66 55.0 \n", + "9 202425 3 47204 40300.0 54108.0 71 61.0 \n", + "10 202424 3 41110 34671.0 47549.0 62 52.0 \n", + "11 202423 3 35875 30610.0 41140.0 54 46.0 \n", + "12 202422 3 33772 28274.0 39270.0 51 43.0 \n", + "13 202421 3 21963 17556.0 26370.0 33 26.0 \n", + "14 202420 3 20057 15780.0 24334.0 30 24.0 \n", + "15 202419 3 15375 11274.0 19476.0 23 17.0 \n", + "16 202418 3 22409 17653.0 27165.0 34 27.0 \n", + "17 202417 3 27042 21410.0 32674.0 41 33.0 \n", + "18 202416 3 28882 23305.0 34459.0 43 35.0 \n", + "19 202415 3 30229 24648.0 35810.0 45 37.0 \n", + "20 202414 3 31813 26529.0 37097.0 48 40.0 \n", + "21 202413 3 35090 29607.0 40573.0 53 45.0 \n", + "22 202412 3 40639 34582.0 46696.0 61 52.0 \n", + "23 202411 3 50268 43331.0 57205.0 75 65.0 \n", + "24 202410 3 60107 52623.0 67591.0 90 79.0 \n", + "25 202409 3 71121 62920.0 79322.0 107 95.0 \n", + "26 202408 3 104566 94520.0 114612.0 157 142.0 \n", + "27 202407 3 138078 127050.0 149106.0 207 190.0 \n", + "28 202406 3 190062 177955.0 202169.0 285 267.0 \n", + "29 202405 3 216237 203595.0 228879.0 324 305.0 \n", + "... ... ... ... ... ... ... ... \n", + "2048 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2049 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2050 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2051 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2052 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2053 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2054 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2055 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2056 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2057 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2058 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2059 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2060 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2061 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2062 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2063 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2064 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2065 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2066 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2067 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2068 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2069 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2070 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2071 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2072 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2073 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2074 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2075 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2076 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2077 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 52.0 FR France \n", + "1 39.0 FR France \n", + "2 43.0 FR France \n", + "3 48.0 FR France \n", + "4 67.0 FR France \n", + "5 69.0 FR France \n", + "6 94.0 FR France \n", + "7 82.0 FR France \n", + "8 77.0 FR France \n", + "9 81.0 FR France \n", + "10 72.0 FR France \n", + "11 62.0 FR France \n", + "12 59.0 FR France \n", + "13 40.0 FR France \n", + "14 36.0 FR France \n", + "15 29.0 FR France \n", + "16 41.0 FR France \n", + "17 49.0 FR France \n", + "18 51.0 FR France \n", + "19 53.0 FR France \n", + "20 56.0 FR France \n", + "21 61.0 FR France \n", + "22 70.0 FR France \n", + "23 85.0 FR France \n", + "24 101.0 FR France \n", + "25 119.0 FR France \n", + "26 172.0 FR France \n", + "27 224.0 FR France \n", + "28 303.0 FR France \n", + "29 343.0 FR France \n", + "... ... ... ... \n", + "2048 59.0 FR France \n", + "2049 64.0 FR France \n", + "2050 97.0 FR France \n", + "2051 93.0 FR France \n", + "2052 80.0 FR France \n", + "2053 116.0 FR France \n", + "2054 149.0 FR France \n", + "2055 281.0 FR France \n", + "2056 395.0 FR France \n", + "2057 485.0 FR France \n", + "2058 544.0 FR France \n", + "2059 689.0 FR France \n", + "2060 722.0 FR France \n", + "2061 762.0 FR France \n", + "2062 926.0 FR France \n", + "2063 1113.0 FR France \n", + "2064 1236.0 FR France \n", + "2065 832.0 FR France \n", + "2066 459.0 FR France \n", + "2067 207.0 FR France \n", + "2068 190.0 FR France \n", + "2069 198.0 FR France \n", + "2070 224.0 FR France \n", + "2071 266.0 FR France \n", + "2072 219.0 FR France \n", + "2073 176.0 FR France \n", + "2074 163.0 FR France \n", + "2075 195.0 FR France \n", + "2076 308.0 FR France \n", + "2077 213.0 FR France \n", + "\n", + "[2077 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2148,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2173,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" + ] + } + ], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -199,10 +2201,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ + "sorted_data['inc'] = sorted_data['inc'].astype(int)\n", "sorted_data['inc'].plot()" ] }, @@ -215,9 +2241,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Z731PKaXM9QKl1L3m+kal1PyYfa5XSu0zv65P14cW8o/BmCCx9T3fLY0S043i8edXwD9TePwhSgocmLemKIUuOxEtRZQWqVgavwQuTbB+h9b6VPPrUQCl1ApgPbDS3OdHSilLtu8EbgSWmF/WMW8AurXWi4E7gNvMY1UBtwBnAuuAW5RSleP+hMKMYCAwNAch+gSeR60fvKa/PTamYYlG32D+FTJmgv7BUPSaxlJgWq7iojIYUzS01i8AXSke7wrgD1prv9b6ANAMrFNK1QNlWutXtGHj/Qq4Mmafe8zXfwIuMK2QS4ANWusurXU3sIHE4iUIxvAc8yncbfZnyqcZCIkC4WVuI7XYI6KRFvoHgyMyp2DoIURaiRhMJqbxGaXUVtN9ZVkADcCRmG1azLUG83X8+rB9tNYhoBeoHuVYgjACIxBu/Dpb09YG82jamiUaxTFPwlZ8o19EY1yEI5ojXQMj1j3+UELRKJTY0TAmKhp3AouAU4HjwLfNdZVgWz3K+kT3GYZS6kal1Gal1Ob29vbRzlvIU2LHdBbk4ZOhFQiPDdI67DYKnXaJaaRAJKJ5YW8733piD+d961nO/eazbD/aO2wbK6YRj2VpiHvKYEKiobVu1VqHtdYR4KcYMQcwrIG5MZs2AsfM9cYE68P2UUo5gHIMd1iyYyU6n7u01mu11mtra2sn8pGEHMcXDEeDxIV5mHI74Leyp4bf1ErdDrE0UuCFfe189O5N/Oi5ZorM/l3HenzDtvEMhihxO0fsG7Vc8+j3aTJMSDTMGIXF3wJWZtVDwHozI2oBRsB7k9b6ONCvlDrLjFd8FHgwZh8rM+oq4Bkz7vEEcLFSqtJ0f11srgnCCHyBoTGdTrvCpvLLnRBb8R5LidtBv19EYyyO9w4C8MwXz+MnHzkdGCrms+hLEgjPx4eQyTDyCsWhlPo9cB5Qo5RqwchoOk8pdSqGu+gg8EkArfUOpdR9wE4gBNyktbau9KcxMrEKgcfML4CfA79WSjVjWBjrzWN1KaW+BrxmbvdVrXWqAXlhhmFYGsYft1Xgl0/uhAH/UMV7LKVupwTCU6DLazS0rCt3RzPR4i00jz9IWYKYRoG4p4Yxpmhora9NsPzzUba/Fbg1wfpmYFWC9UHg6iTHuhu4e6xzFISBQGhYMz93nnUm9QZCFLtG1hCUFjiijfaE5HR6AhS77LiddqxLGGtpBMMRBoORMSyN/LFcJ4NUhAs5TySizVkTQ6JhtLPOnz9yX1yHW4tSt2OEm0UYSfdAgKoSFwAFDjsuh42+GLFN1kIEhmIa/jyq+5kMIhpCzmMV8cXeVPNtrrM3EB4RBAejwE8C4WPT6Q1QVVwQ/XdpgWOYW29oAFOiQHj+1f1MBhENIeex/phjLQ23w85gHv2R+wKhEUFwMJ6MJaYxNl1eP1VFQ4IQn3VmvZZA+NiIaAg5j1X4NjymkWeWhj+cUDRK3U48gRARaY8+Kl2e4ZZGSZxbL9moV4htS5M/7s7JIKIh5DzWE+CwmIYrv2IaA4HQsGaFFqUFDrQeKv4TRqK1ptMboNqMaQCUFjiHJRBEp/YlLO6zodRQrcxMR0RDyHl8CWoY3I78yp4aCISHtUW3sJ6MJa6RHF8wjD8Uoao4RjTi3FOjWRpKKSN2JKIBiGgIecBAophGvtVpBMIUOhMEwt1We3S5oSWj02PUaMSKRkmymEYC0QArtVmuMYhoCHmAJQ7x2VP5NNfZGwglsTSM4K7UaiTHKuyrjhGNMne8e8oa9ToyewqkiDIWEQ0h5/ElDITnn3sqUUzD8sHLU3ByLNGojLU0CoxAuDWNz+MP4rCpaE1GPEa7FhFmENEQ8oBEKbeFeSQawXCEQCiSMHuqTGIaY9KZwNIodTuI6CHXptGscGTFfez2YmkYiGgIOc9AAveUkXIbyYu5zokGMFlITGNsur2JYxowdN36k7RFj24vMY0oIhpCzjOYpLgvHNF5MdfZl2AAk8WQe0pcJ8no9AZw2W3DRCE+FnSoc4C6MnfSY5S6nZI9ZSKiIeQ8ybKnID/mhFs1GIksDaOJoYx8HY0ur5+qYtcw11NsqnIgFGHb0V7WNFUkPYaRoivCDCIaQh7gC4Zx2W047EO/zm5X/rR+8EXdUyMtDZtNUeJy0CeikZQub2BYEByMFFowRGPX8T4CoQhrmioT7R7dfjAYIRjOn4y8iSKiIeQ8g8HwiKwXtzl3Ih/Sbq35D8UJLA2QTrdj0ekNDAuCQ6x7KsSWw90Ao1oa0RiIiLOIhpD7JGqxkU9znRP11oqlRFwno9LW56emZLhoDAXCg2w50kNdmZv68sKkx7BERsRZREPIA3zByIgbqjuPOpMOjBIIB7PwTG5mCfGHwhzv9TGvunjYemxMY8vhnlGtDBhKOOgTcRbREHIfXyA0LAgOQ4Nz8qFpoccsKksUCAdDTMRtkpgjXQNENCyoGS4axaZlerDTy+GugTFFo0zcU1FENIScxxccOdUun2YgdA8YolFZ5Er4fpHTHrVGhOEc7BgAYH6caNhtRhPCR7edAODMBdWjHqdEiiijiGgIOY/RYiOxeyofYhrdAwFcDltSS6PIJaKRjIOdXgDmVxeNeK/U7aDLG2B+dRGrG8tHPY7ENIYQ0RByHl8gHBUJiyH3VO7fTHu8QSqLnElbXBQV5FdH33RyoMNLRZGTigRWmhWnuHJNQ9JrG7+tJByIaAh5gC8YHhHTKHAY/86HlNuugUBS1xQY9RsDMoQpIYc6B0YEwS2sYPiVpzaMeZxo4FwsDZI3WxGEHMGXwD1lxTjyoSK8ZyBARVHilt1gNWeMEI5o7LbRn5hnGgc6vJwxP3HR3vzqYgoc9hHxjkQUOGw47UpiGohoCHmAL5jIPZVfgfCls0uSvm8Jpi8YHrXp3kxjMBjmWK+PedWNCd//36tPIRRJzRJVSslMDRNxTwk5jdY64ShUqyLcF8h995RhaYzmnjI+u7iohtPSPYBOkG5rYbepqBszFYxOtxLTENEQchpfMEw4oqPZLRYOuw2HTeW8e0prTfeAEQhPhlUN75MMqmEcSJJuO1GkXYuBiIaQ00RnOydwy+TDIKa+wRDhiB4jEG5ZGrn9WdNNa98gAPXlyVuej4eSAmkMCSIaQo5juQus7JZYCswAcS7TM2AMEBrNPVUoopGQXp/xu1FemNxKGw8S0zAQ0RByGsvSKHOPvDG4nbactzSsavCq4rHdUxLTGE7PQIBCp31EksREKZU54YCIhpDjRN1TCSwNdx64p6xRpakFwnP7s6abnoHgqKnK40XmhBuIaAg5jSUaidxT+WFpGKIxWkzDck9JIHw4Pb5g2lxTMDQnPB/mzk+GMUVDKXW3UqpNKbU9Zq1KKbVBKbXP/F4Z897NSqlmpdQepdQlMeunK6W2me99T5l1+0qpAqXUveb6RqXU/Jh9rjd/xj6l1PXp+tBC/mB1gI3PnoKhordcZqhZYfKbX3HUPSWiEUtv2i0NJ6GIzvnfqcmSiqXxS+DSuLWvAE9rrZcAT5v/Rim1AlgPrDT3+ZFSynIo3gncCCwxv6xj3gB0a60XA3cAt5nHqgJuAc4E1gG3xIqTIMDo2VNupz3nU257BgLYVOKYjUWh1GkkpMcXoKIwuYU2XqKdbmd4XGNM0dBavwB0xS1fAdxjvr4HuDJm/Q9aa7/W+gDQDKxTStUDZVrrV7Rh2/0qbh/rWH8CLjCtkEuADVrrLq11N7CBkeIlzHD6RhGNAoc95102XV6jsM82SnuQInFPJSTdMY0yaY8OTDymMVtrfRzA/D7LXG8AjsRs12KuNZiv49eH7aO1DgG9QPUoxxKEKJ7BECUFjoQ9l9xOG/5QbrsSUrnxOe1GXySviEYUrbUR00ijaFgPJjM9GJ7uQHiixyE9yvpE9xn+Q5W6USm1WSm1ub29PaUTFfKD/sFgwiA45EdxX/cYHW4tCp12fOKeijIYjBAIRdLqnrLiZmJpTIxW0+WE+b3NXG8B5sZs1wgcM9cbE6wP20cp5QDKMdxhyY41Aq31XVrrtVrrtbW1tRP8SEIu0m9aGonIi5TbMVqIWBjt0Ud+1rb+QT77+y3sPNY3FaeXtfT4jKyzdGdPwVDyxUxloqLxEGBlM10PPBizvt7MiFqAEfDeZLqw+pVSZ5nxio/G7WMd6yrgGTPu8QRwsVKq0gyAX2yuCUIUjz+U1NJwO205P5xorGaFFkUFdgbiPmtb/yAf/ulGHnrrGL/fdHiqTjErsarB012nAcz4ViJj9lFWSv0eOA+oUUq1YGQ0fQO4Tyl1A3AYuBpAa71DKXUfsBMIATdpra3f5E9jZGIVAo+ZXwA/B36tlGrGsDDWm8fqUkp9DXjN3O6rWuv4gLwww+kfDCa9qbrNlFut9ZiT2bKVnoEgFSk8LRe5Rgb9f/BMM4e7BlhYW8wrb3dO1SlmJT1mqnIq1y5VLNGY6TGNMUVDa31tkrcuSLL9rcCtCdY3A6sSrA9iik6C9+4G7h7rHIWZS/9giMaqkfOfYWimhj8USVsriekkEIrgC4ZTcrEUOUdO72vp9rFkVgmXnzKHbzy2m/Z+P7WlBVN1ulmFJRpTEQiXmIYg5DD9/lA0FTKeqGjkaDFWtOFeCje+Qpd9REzDEomzFlYD8OoMsjZ6fWO3XxkvDruNQqddYhqZPgFBmAxG9lTim6rbaQ5iytG4xni6tBYlEI0Oj5+akgJWzSmjpMAxo1xUU+GeArNpoVgagpCbBMMRBoOR5NlTjtwe+WqJRlkKN77CuJhGJKLp8BiWhsNu44z5lby6fwaJhi+I065GzI6fLCVuB/0zfBCTiIaQs3hGaVYIMXPCc7SVSN9g6pZGsWt4TKPXFyQY1tSWGDGMU+dWcqDTm7MCOl56BoKUF7rSngBR6naKpZHpExCEiTLU4TbxTbXQZfx652qDub5JuKc6PH4AaszA97zqIrQ25mbPBHp9gbSm21qUFjjwzPA54SIaQs5iNY7Ld/dUKqJR6LLjD0UIR4ymCe39hmhYlkZTtZFhdqhzZohGqqnK40ViGiIaQg4zNLUvsWgUmO6pnA2Em8Hc0TrcWhTFdbptNy2N2lIje2he1QwUjSmwNEoKHHgkpiEIuclY7ikre8qfq6LhC1LotONyjP1nWmjO1LCC4UOWhhuAqmIXJQUODnfNFNEIpJRAMF4kpiGiIeQwVr58olGvEBMIz9GYRu84Js8Vx4187fAEcNltlBUa10YpRVNVEYc6vVNzslnEYDDMib5BGisTF31OhhK3YWlEIjN3ep+IhpCzjDbqFYzOr5DbMY1URSN+Tnh7v5+akuHZQ/Oqizg0AyyNAx1eIhoWzypJ+7EtV6hnBncUFtEQcpbRpvbBkKWRszGNcYhG1D0VHIppxLcMaaouoqXLFw2W5yvNbR4AFtemXzRkpoaIhpDDePwhXHZb0r5SVkwjl91Tqfrl4y2Njn6jGjyWeVXFBMIRTvQNpvdEs4z97R6UgoW1xWk/tszUENEQchjPYIjiguQVv7mects3DkvDSi+1AuAJLY1oBlV+xzWa2zw0VhZOSZNKK342k/tPiWgIOYvXH6I4iWsKwGZTuBy2nK0IH497akFNMUUuO1tbeglHNF3ewEhLw6zVOGym3d702zf42V/fTu9JZwHNbZ4pcU2BzNSAFFqjC0K24vEnn9pn4XbYGMzB2dmhcARvILW26GB0YF3dWM6Ww910DwQIR/QIS6O+3I3DpjjUNYDXH+KRbcd5ZNtxugcC/PPFy3J25kgs4Yjm7Q4v5y6pmZLjl0pMQywNIXdJSTTMQUy5hvUkW16Y+nPdqXMr2Xm8j+f3tAOwdHbpsPcddhuNlYUc7hzgiNlOZNnsUn747H6++vBOjIGZuU1L9wCBUIRFU2ZpSExDREPIWcZyT4EpGjnonhpPh1uLNU0VBMOa2zfsZXZZAesWVI3Ypqm6mENd3qiL6ptXrebj58znFy8d5MfPZ7erqtPjZ29r/6jb7G83M6emIN0WJKYBIhpCDuPxh5IW9lkUOu05GQgfT98pizVzKwA42uPj/afMwW4b6W6aV1XEoc6BaGX4vOoi/uN9KzitqYLHtx9Pw5lPHf/96G7e/4MXOTJKrcmBDuO9BTXpz5xG5cQWAAAgAElEQVQCo4hSKbE0BCEn8fhDlLjGsjRsOememohozCpz01BRCMAVpzYk3GZedRH9gyG2tvRS6nZQXuhEKcXZi6rZfqwPbxb3Vdp8qIvBYISvPrwz6TYdHj8Om6IyjRP7YlFKUVNSwLGe/E5bHg0RDSFn8frDY7qnCpz2nCzum4hoALxraS2rG8tZOacs4ftW2u1LzR00VRVFg9/rFlQTjmjeONw9ibOeOrq8AQ51DjC/uogNO1v56772hNt1evxUFbuwJbCy0sWy2aXsaxvdTZbPiGgIWUUgFOHbT+5ha0vPqNtFIhpvYGz3lNtpz8mGhRMVja9dsZI/furspJlQ86oNt02nNxAVEIDT51ViU/Daga4JnvHU8tYR4/fh61eejMth46/7OhJu1+kJUB2Xapxuls4uZW9r/4ztPyWiIWQVmw918f1nmrnihy/x3af2Jd1uIBhGaygZpbgPzJTbHHRPdXsDAFSM083isNsocCS/JrFCEfu6pMDByjnlbMxS0dhypAebMoL9S2eXsOt4X8LtOrwBakqmxjVlsayuhMFgJJqBNtMQ0RCyipZuHwCnNVXyg2f3RWdKxGP53sdyTxW6cjN7qtPjp8ztSKkt+ngodNmZZdZvzK0a3gV23YIq3jzSgz8Lr9eWw90sqyujuMDB8roydp9I7B7q9Ixsn5JurFTmPUnOId8R0RCyiqPdPpSCr1y2nGBY88TOEwm3swbhjF3cZ4/OmMglOr1T52axKsOb4kTjlLkV+EMRDnZk1xN0JKJ560gPp5rZYcvrSmnv90dH2sbS6QlQXTy1lsYSUzTGSv/NV0Q0hKyipdtHXZmbtfMqaaoq4i9vHUu4nWeMDrcWRvZUDorGFN78mqqKze/DRaOhwhjYdKzXNyU/d6Ic6R6gbzDEKY3lAJxUbwT545/0BwIhfMHwlMc0SgocNFYWsqfVM6U/J1sR0RCyipbuARoqClFKcfkp9by8vzPhE2Wq7imjuC/3YhqdXj/VU+SbX91YTkWRkzlmeq5Ffbnx7+NZlk560CxEXGhWeS+vM5704+ManR4jDjRV1y2WZbNL2SvuKUHIPC3dPhorjZvXZavqCUc0LybIlEnZPeW0EwhFci7TpcsboKp4ap6Y/+6seTz/L+ePiJfMKi3ApuB4llkasYWIANUlBdSWFoyIa1gPF1MdCAdYWlfK/nYPgRx8IJksIhpC1hAyZz1YYzqt/kFHe0bexMYjGkBOBcOHutROzc3PblMJU3kddhuzSt1ZV7h2pGuAAoeN2hi30/K6UnafSGJpTJHYxrK8rpRQREcHPs0kRDSErOFE3yDhiI5aGoUuO2VuB60Jhgal7p7KvUFMPQMBIpopD+gmor7CzYm+7LI0DnV6mVtVNKxg77SmSrYf7eNbT+yJWpGdXsPSmA731KoGI76y/VjvlP+sbENEQ8garHRby9IAmF3m5kTvSNHw+A3LIdl8cAt3Ds4J7zJrNKqmOKCbiDnlhVkX0zjc5WNeXND+H89fxIfWNvKDZ5v5zcZDAHRMo6WxoLqYYpedHUdFNAQhYxw1RaOhcihAW1fuprV/ZCDc4w9itykKxqhjGLI0ckc0rJtfTSYsjXI3x3p9WdMmXWvNka6BETUlBQ47t31wNXVlbt48bFSLd3oCFLvsFLrSP7EvHptNsWJOGduPJS4yTDehcCRr/k8mJRpKqYNKqW1KqTeVUpvNtSql1Aal1D7ze2XM9jcrpZqVUnuUUpfErJ9uHqdZKfU9ZfZAUEoVKKXuNdc3KqXmT+Z8hezkcOcAV/zgRR4002vnmKmfYFgarQksDa8/bHYcHb3HUKHTsEQGcqhWY8jNMv2WRn1FIYPBCD1Jiiqnmy5vAI8/FA2Cx6KUYvGsEprNduhGxtn0XbOVc8rZeayP8BQnWWited/3X+SODXun9OekSjosjfO11qdqrdea//4K8LTWegnwtPlvlFIrgPXASuBS4EdKKeuR4E7gRmCJ+XWpuX4D0K21XgzcAdyWhvMVsoz/e/Mob7X08sLedmaXFQxrgzG7rIB2j3/EH6bHH4oOxBmN2lLjab09QdputhJ1T2XA0phTnl21GlbmVHxNicXiWSXsb/OgtTb7Tk3fNVvVUI4vGOZAx9TOXH+7w8vuE/282ZIdrrCpcE9dAdxjvr4HuDJm/Q9aa7/W+gDQDKxTStUDZVrrV7Rhf/0qbh/rWH8CLlBjPVoKOcczu9tYOruEBTXFI6bN1ZW5CUc0nXE3fc9giOIx+k4BzCo1boJtCYLp2UqHJ4BSUFk0vmaF6aC+IrtqNcYSjUWzSvAGwhzvHaTD45+WeIbFqgajyHDHFAfD/7rX6OjbMsockelksqKhgSeVUq8rpW4012ZrrY8DmN9nmesNwJGYfVvMtQbzdfz6sH201iGgF6ie5DkLWUR7v5+3Wnq4fPUcHv3sufz4704f9v7sMuOmfyLupu8NjD21D2BWmXETae3LHUuj0+OnssiFwz79IUfL0siWWg1rwmB8TMNisZmW3dzmoXMamhXG/+wCh43tUxwMtzr6tnT7sqLeaLK/ledorU8DLgNuUkq9a5RtE1kIepT10fYZfmClblRKbVZKbW5vT9xnX8hOntvThtZw/vJZFLrsI4SgzryJxWdQpTIfHIyAaVWxK2HabqbZsLM14RQ6o7Bv+l1TADUlBTjtimMJ4kiZ4FDXALPLCqJZcPFYY12f2d1Ge7+f+VM0sS8RDruN5fVlbD86dcHwQCjCq293UuyyEwhHaEuQFDLdTEo0tNbHzO9twAPAOqDVdDlhfm8zN28B5sbs3ggcM9cbE6wP20cp5QDKgRG9m7XWd2mt12qt19bW1k7mIwnTzLN72phdVpB0aJBlacRnUHlTFA0wKp2zTTT2tfbzD7/azIW3P8+Pn98/7L3paLqXDJtNMbvMzbEEBZWZoLnNw8Ka5PO+a0pclBc6+e3GQygFV5w6ZxrPDlbNKWP7sd60ZjZ5/KHoPJkth7vxBsK835zEmA3t2CcsGkqpYqVUqfUauBjYDjwEXG9udj3woPn6IWC9mRG1ACPgvcl0YfUrpc4y4xUfjdvHOtZVwDM6W/LOhLTw1pFe1i2oTpoFVVNSgN2mRmRQGTGN1ERjdpk769xTz+4xnqXOWljNNx7bzcNbhxozdninvr33aCyqLWFfFjTji0Q0e1v7WVZXmnQbK4MqGNa8a0lttH/WdLGqoZz+wRBHutInst97eh9X/PAlXj/Uxc9ePECh086H1hrP1aPNR58uJmNpzAZeVEq9BWwCHtFaPw58A7hIKbUPuMj8N1rrHcB9wE7gceAmrbWVB/lp4GcYwfH9wGPm+s+BaqVUM/BPmJlYQn4wGAxzrNcX9Usnwm5T1JYUjIhppOqeAiMDK9ssjef2tLNsdik/u34tp86t4N8e2B6NI3R6MueeAlheX0pzm4dgOLNV9C3dPgYC4WiDwmRYvz8fWjt31O2mglVz0lsZrrXmiR0n0Bo++es32LCzlc9esCTa2dcqgM0kExYNrfXbWutTzK+VWutbzfVOrfUFWusl5veumH1u1Vov0lov01o/FrO+WWu9ynzvM5Y1obUe1FpfrbVerLVep7V+ezIfVsguDnR40RoW1o7uh46/6Wut8QbCKYtGXZmbDo+fUIZvghYef4jXDnbx7mW1OO02vnPNqXj8IX776mG6vAF6fcFoK5VMcFJdGYFwZMpTScfC6i01mqUBcP7yWtY0VXDhilmjbjcVLK0rwWFTaQuG7231cKhzgEtWzqbD42dRbTE3vHMBbqcxPCsbLI3U/uoEYQrYbxZljS0abg52Dt3A+gZDhCOaihRTUmeVuYloI5XVCqxnkpebOwiGNectNeJv82uKWTKrhB3HeqM3SuvJMhMsrx9qPR6fAj2dWEOOloxxDpeuqufSVfXTcUojKHDYWTK7lB1pqgx/cscJlIKvXbmKS1bWsbqxItqNeG5VUW7HNARhsrzdbgjBaIFOMHpRHe4aiKYbWu1G4udBJCMaTM8CF1UgFOGXLx+k2GVn7fyq6PqKOWXsPN7H7uPGjdK6cWeChTUlOO0q4+NMd5/oZ25VYcoWZaZYNaeM7UfTEwzfsKuVU+dWMKvUzQdOa4xmhwHMrSxMa+xkoohoxCAx9unl7XYPDRWFY/YKWlZXwmAwEn3KslqlN6QoGnVZIhpaa75w35u8vL+T/7h8xbB5Fivqy2jt8/Py/g6qi13D2oBPNy6HjUW1JUnncE8Xe070s2x25iyuVFnVUE6nNzDpeMPhzgG2tvRy8Yq6hO/PrSrieK8v47EmEQ2Tbm+A6362kdcPdWf6VGYMb3d4x3RNAVEXiXUTO2qKR0OKfv/Z0QK/zIrG7hP9PLL1OJ+7YAnXnNE07L0VZsrxc3vaWV5fOmZPralmeV0pu49PTzO+RPhDYd7u8I4ZBM8G3m26GR/fnniefao8sOUoAO9PkjY8r7qYiIY3MnyPEtEwCWvNsR4fN9zzGs1tM3OM43SitWZ/myc6aGk0LNGwxmse7fHhdtpSrmWottJ2M5x2a7l73rt6pP99hRnDCEU0y+sy/3S9vL6MY72D9GaoceHeEx7CET1mEDwbmF9TzMkN5cPSpseL1poHtrRw1sKqpBb0ZavqqCtz89WHd055k8TRENEwqSkp4Fd/fyYOm40bf/16pk8n72nr9+MNhFOyNIoLHMytKmRP65BozDHniKeClbY7UUvDFwinxb+/t7Ufh00xv3rkZ64ockVvFtlwo7QC8TszZG28sM/o7HDmwqoxtswOLj+lnrdaejnUObGMsy1HejjYOcAH1jQm3aa4wMG/vfckdhzr43ebDk/0VCeNiEYMTdVF3PDOBbzd7qV/MDtaQ+cLe1v7ORiTwvmcWdw2VhDcYtnssuiN+2i3L+V4hkVduTva/G68fO+ZfVz+gxfxTbK9+t7WfhbWFo+YzW1huahOygJLw6rQn+pmfMl4dncbJzeURxtOZjvvXW24lB7eenzc+/pDYW57bDdup41LT04cz7B43+p6lteV8sgkrJrJIqIRh9W3PxuyFPIFjz/EB370Mud96zmuuvNlPvzTV/ny/dtYUV/GafMqUjrGsroSDnR48YfCHO3xjbuO4ZTGcrYd7Z1QrcZTO1sJhCLD0n4nwp7W/lFTWE+fV0lJgYMls1MT0qmkpqSA+nI32zIwma5nIMAbh7s5f1nutARqqCjkHYuq+cVLB+gbxwOn1pov3vcWGw908T8fOJmyMdr9K6VY01TBruP9GUvcEdGIw2rBPNGnUmEkD755FI8/xHVnNhGKaHp9QT717kU8cNM7KHKllk65rK6MUESz81gfHZ7AuC2N0+ZVMhAIjzsjqKV7gH1tRj2JlSI8EQYCRquJ0UTjhncu4Jkvvjtpc77pZlVDeUZE44V9HUQ0nLd8+ov1JsPNl51EpzfAD55pTnmflm4fD289zk3nL+JvR3FNxXJSfRm9viDHM9RUMrsToDOA1YI5Gyov8wGtNb/beJjldaV8/cpVE84KWmbebJ/a1QqkXqNhcfo8Y4DkG4e7WdVQnvJ+z+0Z6pp8oGPi/ZisXk6jiYbTbmNWWfa4Y05uKOepXa3jatmSDp7Z1UpVsYtTGlOzQrOFkxvL+dDpc/nFSwc4e2E156cges3mA8l5y1IXSCvetPtE37j/DtKBWBpxlBc6KXM7xNJIE1tbetlxrI/rzmyaVBrpotpiGisL+cVLB4HUazQsGioKmV1WMO50xef2tDG3qpC6MjdvT6KthhXEz4Ygd6qsaihDa9g5TXOwwehe/OTOVi46aTZ2W+7NW/vyZctZOruUG+55jTuf2z/m/AtLNEbrvxaPlYa863hmsjxFNBLQVF0kopEmHnrrGC67jSvWNIy98Sg47Da+cOHS6KzvVGs0LJRSnD6vktcPpy4a/lCYl5o7OW/pLBbWFk/KPbWvtZ8Chy3pBLpsxLLIptNF9ei24wwEwly9NjVXTbZRVezij586m8tOrue2x3fzkbs30m2O701Ec5uH6mIXleNoUFnqdjK3qnBEZluXNzAtqbgiGgloqioS91Qa0Frz1K5Wzl5UPWaALxWuXNPA0tkl2G0qWuU9Hk5rquRIly/l0a+bDnThC4Y5f3mtKRqeCQcf32rpZVldaU49Pc8qdTO7rIBHth6btuaFf3q9hQU1xVF3Yi5S5HLwg2vXcNsHT+a1g91c+9NXaU8yPKm53cOiWeNPfDiproxdcaLxpT9t5Yofvjihcx4PIhoJmFtVlJHRir0DwazpxJoO9rcbHTsvXDE7Lcez2xS3f+hU/vP9Kyc0CnVNk3EjeqsltSfnZ3e343LYOHthDQtqSugbDNE1ylNjMnyBMFsOd3P2wtybVPzJdy1i+9E+Lrr9+WgzxaniSNcAGw90cdXpjRmviJ8sSimuOaOJX3zsDA52ernpd2+M2EZrTXObZ1h/qVQ5qb6Mgx3eaBp4OKLZeKAz2qp9KhHRSEBTVRGBcITW/unLThgMhjn/28/x9Ud2TdvPnGo27DRqMS5IYxbMqoZyPnLWvAntu7yuFKUY8YSWjOf2tnH2wmoKXfZoEeJEnrg3H+oiGNacvSj3ROPv37mAZ/753YS15skdrVP6s57bayQdvPfkzHSsnQrOWVzDP1+8jE0HukbEhto9fnp9wXHFMyxWN5YT0fDINqMuZMexXvoHQ9PyOyaikYBo2m3n9Lmo/rqvgy5vgN9uPERLFrQ/TgdP72pl5ZyyjGR4JKK4wMG8qqKURONQp5e3272cZ9YKLDRnT08kGP7y/k4cNsUZ83OjujmexsoiTm4o58V9HVP6c17d30l9uTtaK5UvXHV6IwUOG7/ZeGjYejQIPgFL47xls1g7r5KvPbyTtr5BXtnfCTAt1qyIRgLSUavROxDkvx/dlbL//NFtxyl1O1Aofvjs/rF3yBIiEc3vNx0e0aLD4w+ZBVrZlWu/vK4spVqNZ3YbVpJ1/o2VRRQ4bDy3p23ccY2XmztY01SR8njabOScxTW8cbgbjz80JcfXWvPq252cvTD56N9cpaLIxftWz+HBLUeHXb/9kxANu03xzatWMxgM86X7t/JicweLaounJWVbRCMBcyoKcTlsk+o39N+P7uKuF97m20/uHXNbfyjMUztbuWxVHdeum8sfNx/JeEfWVHls+wlu/vM2vnz/1mHrWw53E9FwxoLsero+qb6Mg51eBgLJb36BUIS7XzrAqoYy5psWht2muOn8xTy67QT3v3E05Z/X6wuy7WgvZy+qmfS5Z5JzF9cQimg2HeickuPva/PQ6Q1wVg7GfVLhw2c24Q2EeXKH0Qk3HNE8vbuNYped+gkOBltYW8L/e98KntvTzl/3dfCOafodE9FIgNNuY83cCl6d4B/Iq293cu/mI9SUFPCnN1o41OmldyCY9An1peYO+v0hLju5no+ds4BQRPOn11sm8xGmhXBEc8dTe3HZbTy3p53n9w4Vwr1+qBulYE1TdhVonVRfitaMam38buMhjnT5+JdLlg9bv+n8xZy1sIr/eHB7yt1fNx3oIqLhHTkYz4jltHmVFDhs/HWKXFSvvm26V3L8OiVjzdwKqopd/HVfB1pr/vmPb/HcnnY+f+HSSVlW153ZxNWnG+nJ03XtRDSScPaianYc60v55vDNx3fznaf2Eo5obnlwB3OrCrn/02fjsCne970XOeWrT3LxHS/wf1uGP6Vqrfnhs/upKXFxzqIaFtQUc9bCKu597ci0Z2+Nh0hEc/eLB2hu8/DNq1Yzr7qIWx/ZGT3n1w91s2x2aVpSbdOJVU2bLK7R1jfI959p5qyFVbxryfAnN7tNcfNlJzEQCEcr08fi5f0duJ22rBPP8eJ22nnHomoeevNYwr+JyfZBerm5k4aKwozORp9KbDbFOYtreLG5gxf2dfDAlqN87oIl/MO7Fk7quEopvnblKr5zzalcnKYsxbEQ0UjC2Qur0Ro2pmBtnOgd5CcvvM13ntrHv//fdva09nPzZScxr7qYL126nFObKvjcBUtwOWx8/t43edb0lwM8+OYxXj/Uzb9csiza/XT9GU0c7hqIPn1lG93eAJf/4EVufXQXZy6o4v2nzOGfLlrK3lYPT+9uIxzRbDnck5W59o2VhZQWOHhlfyevH+oaJswef4iP//I1fMEw//G+lQmfAFc3ltNQUchj21PrZvpycydnzK+iwJEd/aQmwz9fsoweX5BvPD6U4ecPhbnpt2/w/h+8NOF08S5vgGf2tPE3y2flXTwjlnMX19De7+fWR3ZSVeziH89flJbjup12rlzTMKE09IkgopGEU5sqKHDYeCWFG/e9rx0hHNHMKi3g95sOc8rcCi5bZbQ4vuGdC/j1DWfyhYuWcv+n38GK+jK+cN+bHO3x4QuE+Z/HdrG6sZyrT58bPd6lq+qoKHJyy0M7Ug6kTydfe3gne070c8c1p/C7fzgLm03x3pPraago5CfP72fPiX48/hBr52efaCilWNlQxsNbj/PBO1/hLzEtpr98/1Z2n+jnh9edFm1Tnmj/S1fV8cLejjHb57f3+9nT2p83LpeVc8q54Z0L+P2mI9z85638buNhPnb3azyy7TjbjvZG0z/Hy72vHSEQivCRsyeWSp0rvNO0XPe2erh6bWPOPkiIaCShwGFn7fxKXtnfOarpHQpH+MNrhzl3SQ3f/tApVBe7+Pf3npTwicnttPOj604jEIpwy4M7+PWrB2nt8/Pv712BLaZS2O20c+d1p3Osx8eHfvJKxqanJeL5ve38ectRPn2e0ZXTqnB22G184twFbD7UzZfufwuA05uyKwhu8c0PnsKd151Gfbmbh940ROPx7Sd4ZOtx/umipWNmfL3n5DoC4QhP72obdTvLUpyuAOV08PkLl7D+jLk8sOUo//rANt480sP/fOBklswq4c7n9o/LTfX7TYf52V/f5jevHuLshdWjNnPMB+ZUFEbrfT68rmmMrbMXEY1R+Jvls9l9op9P/vp1egYSVwI/ubOV472DXHdmE+cuqeW1f7tw1Hz8+TXFfPaCJTy1q5XbN+zlXUtrWZcgw+jsRdXc8/frONw1wDef2J22zzQZQuEI//WXHSysLeYzf7N4xPvXnDGXRbXFDATCfOwd85lblZ3+6abqIi47uZ73nlzPC/vaOdjh5T8e3M6K+jJuTMHHvGZuJXOrCvn6IzvZPkpfppf3d1Ba4GBVEqslFylyOfjGB1fz2r9dyF+/dD7b/+sSrl3XxKfevYjdJ/p5cmdqsZ67XzzAzX/extcf2cXRHh8fzXMrw+LGcxfyyXctZF6C6Y25gojGKHz8HfP5t/ecxLN72vjYL15jMGiM/dzW0stAIEQoHOH2DXtZVFvMhScZQShbCr2F/v6cBSysLWYwGOGfLlqadLu186v4+DkL+N2mw7wxjkZ7U8UDW47ydruXL12yPKFpXeRy8PQXz+OZL57Hf74/cUwgm7j8lDkEw5oP3vkyPb4g37xqNc4U/MI2m+IXH1uHy27jmp+8wp3P7WcwOHyqnz8U5vHtJ3jX0tpp8zVPJ0bTvKKopfn+U+eweFYJX/3LTrxj1HL835ajfPXhnVyycjbPfPHd3HndaVy6avSJdfnC+nVN3PyekzJ9GpMid6uNpgGbTfEP71pIU3URn/rN61x4+/O0dBsT/VwOG+9cXENzm4cf/91p47oxuBw27vrIWrYf7eXUuaNn1XzhoqU8svU433h0N/d96uxJfZ7JMBgM852n9rG6sZxLVk5PlsZUs7qxnKYqo6PxbR88eVxzNhbPKuH+f3wH//7Adm57fDe7T/Tx3fVrou9v2NlK90CQa86YO8pR8gen3cb/fOBkrv7xK/zvE3u45fIVCR8antxxgi/+8S3OXljNd9evwe20s3ACbTSEzJF/j0BTwCUr6/i395yELxDmixct5cd/dxrvWVXHM7vbOKWxnEtWjv8pafGsEq5MoV14SYGDT5y7gE0Hu3jrSM9ETj8pXn+IT9yzme8+tW9UX7THH+Ljv3iNY70+vnzp8qy3IFJFKcUtl6/g/71vBdecMX4fc315IT//2Bnc8M4FPLL1+LCkhT9sOkJDRSHvXJw/8YyxOGN+FR85ax6/fPkgH/7pRva1Dq+FeXFfB5/53RZObijnp9evzZoJhcL4UJmaMztVrF27Vm/evHlaftbe1n4qi1zUlhZM6c/pHwzyjv95hvOWz+L7164Ze4cx8PhDnOj18dWHd/GCWZD3+QuX8PkLl6K15miPj7oyNw67jd6BINf/YhPbjvby7atPSUnoZhoHO7yc963n+KeLlvLZC5aw/Wgv7/v+i3zhwqV87sIlmT69aSVstpX53yf24PWHuOLUBqqKnfT5Qvxl6zGaqor4w41nUVGU+vwIYXpQSr2utV471nbinpoE05XtUep2sn7dXO5+6SAfe8c8Tp9nBM4Pdnix21R0RG0qHOka4IofvhRt8f2ND5zM5kPdfOepfbgcNo50DfD7TUcoL3RyytwKjnYPcKTLx4+uO21CFtVMYH5NMecuqeF3Gw9TXeLitsd2U1fm5tozZ4ZrKha7TfF3Z83jslV1fPPxPTy67TjBSIQyt5PTmiq5/ZpTRDByHLE0coT2fj8f+skrtPYNcu26Jnaf6OOl5k5K3Q5++4kzWZ3CPOVgOMLVP36F/W0e/uuKlSyoKWZNUyXhiOYL977JQ28Z6afXrptLKKzZfaIfbyDELZev5N1La6f6I+Y0z+5u4+O/fA2AedVF/OaGM8cl5oKQaVK1NEQ0coi2/kFu+OVmdp/oo6mqiPetnsOft7TQMxDk8xcu5arTGykvHNm2o61vkP96eCev7O+kyxvghx8+jfeuHj6zIBiO8PWHd9JYWcQnzl2QN3GL6aTDnI/QUFEo/noh5xDRyFO01kQ00VTHlu4BvnDvm7x2sJtCp52/Pa2Bj549jyWzSuaS/sMAAAa2SURBVNlzop9NBzr5wbP78fiDXL56Ducvn8V78mjIjSAI6SGvREMpdSnwXcAO/Exr/Y1k2+a7aCRj+9FefvXKQR588xj+UIRilx2vOQpyeV0p312/hmV1+V1xKwjCxMkb0VBK2YG9wEVAC/AacK3Wemei7WeqaFh0ewPct/kIR7oHOH1eJWfMr6KxUnzrgiCMTj5lT60DmrXWbwMopf4AXAEkFI2ZTmWxi0++Oz3dMwVBEOLJheK+BuBIzL9bzLUoSqkblVKblVKb29vbEQRBEKaGXBCNRGk8w3xqWuu7tNZrtdZra2slNVQQBGGqyAXRaAFiq6QagWNJthUEQRCmkFwQjdeAJUqpBUopF7AeeCjD5yQIgjAjyfpAuNY6pJT6DPAERsrt3VrrHRk+LUEQhBlJ1osGgNb6UeDRTJ+HIAjCTCcX3FOCIAhCliCiIQiCIKRM1leEjxelVD+wJ4VNy4HkA57HRw3QkaZjQXrPLReOJ9dv4si1Sw/pvI7Z/pkTHa8GKNZaj12zoLXOqy9gc4rb3TXdP3Mcx0vbueXI8eT6ybXLyPGm4jpm+2dOdLzxfP6Z7J76S6ZPYBTSfW7Zfrx0k+2fN5uvX7Z/1my+dhbZ/pkndbx8dE9t1ik03cr1n5lPyPWbOHLt0sNMv47j+fz5aGncNUN+Zj4h12/iyLVLDzP9Oqb8+fPO0hAEQRCmjny0NARBEIQpQkQjAUqpuUqpZ5VSu5RSO5RSnzPXq5RSG5RS+8zvleb6RUqp15VS28zvfxNzrFuVUkeUUp5MfZ7pJl3XTylVpJR6RCm12zxO0omN+UKaf/ceV0q9ZR7nx+ZAsxlBOq9jzDEfUkptn+7PknVMRfparn8B9cBp5utSjMmBK4BvAl8x178C3Ga+XgPMMV+vAo7GHOss83ieTH+uXLt+QBFwvvnaBfwVuCzTny8Xrp357zLzuwLuB9Zn+vPl4nU01z4A/A7YnunPlumvjJ9ALnwBD2KMm90D1Jtr9cCeBNsqoBMoiFufMaIxFdfPfO+7wD9k+vPk2rUDnBhpltdk+vPk4nUESoAXTdGZ8aIh7qkxUErNx3gK2QjM1lofBzC/z0qwyweBLVpr/3SdYzaTruunlKoALgeensrzzSbSce2UUk8AbUA/8KcpPuWsJA3X8WvAt4GBKT/ZHEBEYxSUUiUYZv3ntdZ9KWy/ErgN+ORUn1sukK7rp5RyAL8HvqfNWfH5Trqundb6Eown6gJghJ8+35nsdVRKnQos1lo/MKUnmkOIaCRBKeXE+GX7rdb6z+Zyq1Kq3ny/HuMJztq+EXgA+KjWev90n2+2kebrdxewT2v9nak/88yT7t89rfUgxuCyK6b63LOJNF3Hs4HTlVIHMVxUS5VSz03PJ8hORDQSoJRSwM+BXVrr22Peegi43nx9PYaf1HKdPALcrLV+aTrPNRtJ5/VTSn0do8Ha56f6vLOBdF07pVRJzM3RAbwH2D31nyA7SNd11FrfqbWeo7WeD7wT2Ku1Pm/qP0EWk+mgSjZ+YfxyaGAr8Kb59R6gGsOnvs/8XmVu/++AN2bbN4FZ5nvfxJhzHjG//2emP1+uXD+MefAa2BWz/olMf74cuXazMUYlbwV2AN8HHJn+fLl2HeOOOR8JhEtFuCAIgpA64p4SBEEQUkZEQxAEQUgZEQ1BEAQhZUQ0BEEQhJQR0RAEQRBSRkRDEKYZpdSnlFIfHcf286W7qpAtODJ9AoIwk1BKObTWP870eQjCRBHREIRxYjbAexyjAd4ajLbbHwVOAm7H6IraAXxMa33cbDvxMnAO8JBSqhSj6/G3zN5GP8ZoA78f+HutdbdS6nTgbowmeS9O36cThNER95QgTIxlwF1a69VAH3ATRtX1VVpr64Z/a8z2FVrrd2utvx13nF8BXzaPsw24xVz/BfBZrfXZU/khBGG8iKUhCBPjiB7qUfQb4F8xhvdsMNoeYQeOx2x/b/wBlFLlGGLyvLl0D/DHBOu/Bi5L/0cQhPEjoiEIEyO+/04/sGMUy8A7jmOrBMcXhKxA3FOCMDGalFKWQFwLvArUWmtKKac5myEpWuteoFspda659BHgea11D9CrlHqnuX5d+k9fECaGWBqCMDF2AdcrpX6C0TH1+8ATwPdM95ID+A5Gh9nRuB74sVKqCHgb+Li5/nHgbqXUgHlcQcgKpMutIIwTM3vqYa31qgyfiiBMO+KeEgRBEFJGLA1BEAQhZcTSEARBEFJGREMQBEFIGRENQRAEIWVENARBEISUEdEQBEEQUkZEQxAEQUiZ/w9+JWwMbtZu7QAAAABJRU5ErkJggg==\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2301,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 16, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,7 +2321,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +2345,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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4111392\n", + "2013 4182691\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,21 +2450,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] } ], "metadata": { @@ -364,7 +2497,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo2/Analyse incidence varicelle.ipynb b/module3/exo2/Analyse incidence varicelle.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..54383d46ac52683cebf5f02fcf2a66a64c7c9946 --- /dev/null +++ b/module3/exo2/Analyse incidence varicelle.ipynb @@ -0,0 +1,800 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Incidence de la varicelle" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importation du jeu de données" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Les données de l'incidence de la varicelle sont disponibles sur le [site du réseau Sentinelles](https://www.sentiweb.fr/france/fr/?page=accueil), dans la section \"Surveillance continue\" puis \"Bases de données\". " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202434728314155247408FRFrance
1202433719555113399315FRFrance
220243274399194468547311FRFrance
320243174500221367877410FRFrance
4202430770044278973011715FRFrance
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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "0 202434 7 2831 415 5247 4 0 8 \n", + "1 202433 7 1955 511 3399 3 1 5 \n", + "2 202432 7 4399 1944 6854 7 3 11 \n", + "3 202431 7 4500 2213 6787 7 4 10 \n", + "4 202430 7 7004 4278 9730 11 7 15 \n", + "\n", + " geo_insee geo_name \n", + "0 FR France \n", + "1 FR France \n", + "2 FR France \n", + "3 FR France \n", + "4 FR France " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "raw_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vérifions maintenant qu'il n'y a pas de données manquantes ainsi que le type de la colonne ```\"inc\"```, qui contient les données qui nous intéressent." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n", + "Index: []" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[raw_data.isnull().any(axis=1)]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dtype('int64')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[\"inc\"].dtype" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Il n'y a pas de données manquantes dans le jeu de données, et l'incidence a bien été traitée comme une série de nombres entiers. Nous pouvons donc travailler directement sur les données brutes." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "data = raw_data.copy()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Préparation du jeu de données" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Désormais, il nous faut convertir le format de semaine donné dans le jeu de données en un format compréhensible par Pandas." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(year_and_week_int):\n", + " year_and_week_str = str(year_and_week_int)\n", + " year = int(year_and_week_str[:4])\n", + " week = int(year_and_week_str[4:])\n", + " w = isoweek.Week(year, week)\n", + " return pd.Period(w.day(0), 'W')\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Définissons la nouvelle série ```\"period\"``` comme l'index du jeu de données et trions-le en conséquence." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
period
1990-12-03/1990-12-091990497114302610205FRFrance
1990-12-10/1990-12-16199050711079666015498201228FRFrance
1990-12-17/1990-12-231990517190801380724353342543FRFrance
1990-12-24/1990-12-301990527193751329525455342345FRFrance
1990-12-31/1991-01-061991017155651027120859271836FRFrance
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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 \\\n", + "period \n", + "1990-12-03/1990-12-09 199049 7 1143 0 2610 2 \n", + "1990-12-10/1990-12-16 199050 7 11079 6660 15498 20 \n", + "1990-12-17/1990-12-23 199051 7 19080 13807 24353 34 \n", + "1990-12-24/1990-12-30 199052 7 19375 13295 25455 34 \n", + "1990-12-31/1991-01-06 199101 7 15565 10271 20859 27 \n", + "\n", + " inc100_low inc100_up geo_insee geo_name \n", + "period \n", + "1990-12-03/1990-12-09 0 5 FR France \n", + "1990-12-10/1990-12-16 12 28 FR France \n", + "1990-12-17/1990-12-23 25 43 FR France \n", + "1990-12-24/1990-12-30 23 45 FR France \n", + "1990-12-31/1991-01-06 18 36 FR France " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Vérifions la cohérence du jeu de données, en s'assurant que les dates de fin d'une période correspondent bien aux dates de début de la période suivante." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "periods = sorted_data.index\n", + "for p1, p2 in zip(periods[:-1], periods[1:]):\n", + " delta = p2.to_timestamp() - p1.end_time\n", + " if delta > pd.Timedelta('1s'):\n", + " print(p1, p2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Aucune ligne n'est ressortie comme étant anormale ; nous pouvons donc poursuivre notre analyse. Portons donc un premier regard sur les données." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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vVbyxeTfmr95ev048nFAolrBsQ3bH0WrhTByIaBCAPwH4shBiJwIR0WEApgLYAOAqWZW5XFjKbdfoY5hFRPOIaN7mzZtdh15T1OqDzLoTbiSWrN8RC+1QKWrJ/KU9i4tvmof/+tvrbP1GmXxmvV2u+vod7Vi4xm1BruddSWuvZh+ivtvx0/9bjg/999N4Y7Ob4UOt4EQciKgZAWH4vRDibgAQQmwUQhSFECUAvwYwPay+FsB45fJxANaH5eOY8tg1RNQEYAiArfo4hBA3CCGmCSGmjRo1yu0Oa4xaLTQuHr/dRRzOvvYZ/Mvv51fdjlxWasEBpbXw9s722PGeLkXR2kMYMP0xmJL1nPOLZx3bq9+NSYfCB195G6u27K5bPx7peHl1ECX4nQYn/3KxViIANwJYJoS4Wik/QKn2UQCvhL/vBXBBaIF0CALF81whxAYAbUR0YtjmhQDuUa65KPx9HoDHRA/1AKvVqLoyKljrhSXrd+DTv34e2/d01rztWiqkWVjaXbN1r0u1miKNc9A3Fj1TqxZAcra3Pr8KH72utlFqJdq7inj/Tx+vS9v7EspWfw3u18UJ7mQAnwWwmIgWhGVXAPgUEU1FMOaVAL4AAEKIJUR0J4ClCCydLhVCyBjLlwC4CUB/AA+Gf0BAfG4lohUIOIYLqrut7Hjs1Y044ZARGNjaGL/ALgfOoRHEYfb9y/DcG1uwZP1OnDxxZE3b1hPZVINqmugp2wwHfXRV7dUSqo5n6+7abxwA4I3Nu7B6655EuRDC501R0U2PInUlFEI8A354D1iumQ1gNlM+D8BRTHk7gPPTxlIvrNm6B/900zycOWU0brhwmrVurRiaTifiUJOunFDPhaZGAUesZ23fT8N0DlnDZ3TjApg2jwsKZzugxRxMsFQSWPb2Thx54JDMYzA9r5IA8p42JNDoTY73kFawxCGUdK1eUGche0azesBlfeoqlvDnl9dmJoy1dILrDZxDqlgp4QRXXX/1fCYqZ2sjDjc+8xbOvvYZvLgyoSJMhen+K8n2ty8jilHWWOrgiQOAXGiRsdPBprva1yNzULuIlRoJ28S74ak38ZU7FmYOihbpHDKYZ5rKmROurfYQqVICJoW0K6pZLNKuVM/bOJyloYnl6i1J8VAaTPfPBVnsy+guBtMTB6AcakFdsE/80aM47T+fqHlfzflcoi8dE/cfBAA4eWL9XT1cRCGbQkugbRXKnmvxqVe1EBqIU6NtHhIK6Yb2HkfavbuOLcqBnf1Zmha9fYk2/O7Zt3DUd/6vNo01+Ln4qKyIJra6k9FNIyWqXU+a84S9XUBnwdzQMWOHYMWmXZg4alB1nTmgFhZFd764hi0vm7LW4GvvHWKlNA9pvX51/VX1TGrUT66K+WO6/X3F+RMAvvfXpQCqU7J3l7WS5xwQ7VRcXl2lO1ghBO5ftKF8tY1zaFQC+Rfe3IKnX3+nqr46CkV840+L+JNU30mtriGVfHeNXoMSsZUcBm0bY9rw71mwDjv28qLSWt17NZyDCbXYTPQ0VHNLdTcJN8ATB0QyTk4GukYztav0BT352mZc+of5aGsPnLNsxEF2Ue/J8PsXVkd9GjpbvWWPdRGyjbGRTnDWaw0X1/rxpkdlra2fg0009NrGNnzp9gX42h8X8temWX/FBmeumwtXkEoWP9Ml+yBtqEqPUiYOXiHdeJQ/MuZjfZ/mpFPp69mmOZnZOQfZV+MmA7fOvLRqG97/s8dx29zV4Xiyoby+dLe1UjeGz1AX8ATnUKXWwXZXezsD16KNdRKPAsEOX/opmDYA9y5cj8/8ho/8arpmX1RIV0Ucamj1lwVe5wCUE8M4WY9U8IY2tbXjK3fEd3AdFlPWslipgZOB+1DfDGO5uHhzSxRLopyuU6La29i+pxN/W7YxUe666Bs5hxo/YG6xt60J3alzMOHtHe3Yf7/W2J2Y+vnVU2/i2RVbwjp8pX8Ls7txMnfTgtlDgyNUBKLg+RWruKeIc2gsPOcAQJpVO9GGCtq/e34y8bxtwZUfR70ng9o+953qH7PLWvanl6LIqJWIlbiFYer3HzHKzp3azFheSyxZH4XErkhpWyeTJm4sq7bsxok/fhTXPbHCeN2mtnZMuOx+3LNgHRaviwIEpm2Muc2Q6XlUs5D2NMjXd5siwu0t8MQBvLWSCZXM2/auYqLMKlYqVd5XpahUL6BftqczCngniYusU88doU1E06idKDd9rvjzYmUgWn2HNu1DT57c3VGI+euY9S3JE+u2B/Gonn79ndi9qDVlStTb5q7GwJZI8GCaP7Kdd337IWxqi4u4TNfsS1IluabMfmBZ1W01mqPyxAHRJK2X3flehjjYFuPoXH0ngzrZOAuRaq23dM6h1nPbtT0j59CAb03dA9Ra98GN/8QfPYpjvvtw6rUVe+grfapxyEwiopZ8tMQ8E1rGpV2zL1krVevoCCibrKpbygZPHKCYsjqJlbK/Ii7FpW3+lxXSdZ4NaWKlnMPssFordZOsVEejNlwcwS8qoSBqThyZsjYtJ7RpTl/9yGuJMpX7Un9zO1YCxRY+02anKafWiZ8zfQP7kp9DLcSC3eUs6YkDoh2Mi935Lx5/I3P7OS5hiuUDEHXaadvAfZAu1jS2IUZWFo3RoZhhUHw2YCevJnXasruzpqIBl6ZMddZv562YgMrek2muxDYgGjXIYq1054trMK+C+E3djVpwDmU0+APyxAHR4lUvCs2mg7SNp/y/caxD5TqH9Otcmq7Ee9R1xGZrpcxdWsE9w3XborwSp1/9JG585q3admpAWiA8lhsg/rfpMZnqx/uJfuvPxyQ+4oq/8adFOO+XcwwjcceezkJZt9II1CKRnvdz6CZc9Nu5+M69SwDUmMoryDNP2SZX7Q5TVq4v/XFww7EOUfPs7C4Txe7iWLbu7kxY6Tz5WpTetmpTVsud/fD+ZbE+Ogsl3PXS2ppxcc5mxEo93QqpO8RKn71xLk6+8rG6ta+jJjqHGoyjEvR54vDka5vLobrrZTaYZ4T3tukfOcE1Di4f5M69hUSZfpl6mFBIVzg2F9jeXXfpHHa1J59XLZFFrPSLx1fga39ciL8uCnKDW9+3/k4NVV12xXHOIX7ObK1kHtvPH33deM4FL63aVtX1WaHOyy27qkvz6cNndCPqxjkw7doU0o3QOWzb3Yn7F2+wjkcX9Vzzt6QS02XFr9dtuHIi9WDHd3ekE8rfPltfEVKW+bE5XJh2hv4iLKeYoW8CxeaHSSxYK52DxFWPvNarrJlUfePDS5OOnC7QTcIbBU8cGgBeH+0gVrIsagvXbMfh33oQEy6731hnx54uo3z1m39ZHDvmkshXbcqq5XPoLiOUeugcbp6zMlGmrll7Ogu46blknVqiEqInr0jjFNXF3oUIG+eKcqm+6JvW+LTuepOTnBcr7SOol1iJs1ayze+y9aOlzjm/eDbVVv3Uq54wylfbNJHHg6+8nahTbTQRPSZMoxVqElkcwVywYcdeLNvQxvQTtfe7Z1ey19YyNWhV8aaUa59dEfc/0J+LUSGdsc+NuhOcgTqkxSHqTbGXaqGQlmj0XacSByIaT0SPE9EyIlpCRF8Ky4cT0SNE9Hr4f5hyzeVEtIKIlhPRB5Xy44locXjuWgq/FCJqJaI7wvIXiGhC7W81HfUSK7EB2SyvulYy+iyJ4Vds2oWXV2+LhXuo2pS1G/wcsjxr6e2bFZ+9cS7+ymTFUxfc1qb0fVe1gfdcoD8PLqTJq2+3oatYwnYlREmtRqY++189+WbsXCU6ByBuHtzTERO9VdxG8L8nekgXAPy7EGIygBMBXEpEUwBcBuBRIcQkAI+GxwjPXQDgSAAzAVxHRDIJ7fUAZgGYFP7NDMsvBrBNCDERwDUAflKDe8uMenEOWQOydZd1z2OvbooRFDfOIV2slMX6Kssdc+01c8p/Q6Mf+Z9nM/QWwURU1IWwXzOfd7nRIoJoLvHlQDCmL9+xAF+49SVDI+xPPKV4PFfy7Rg9pFMmCudUmhWN+LY6CyVsbouU0JWvL90jWEolDkKIDUKI+eHvNgDLAIwFcA6Am8NqNwM4N/x9DoDbhRAdQoi3AKwAMJ2IDgAwWAgxRwRv5hbtGtnWXQBmUC35b0c0lHOwGovU37qHgz5MN52DQ50G3kitXmFHIRnyJA3qWrdgzXa2Tk19oip4rjrBlrh/UWScIET6OImAZWH+aBtsu3yzKWtam9XnX2/EnNy+t7K0ujp6RVTWUNxzHIAXAIwWQmwAAgICYP+w2lgAat7ItWHZ2PC3Xh67RghRALADQCKBMhHNIqJ5RDRv8+bN+umq0UhqZI+tFPyv5wR2c0yrrh3JMTUiHEKt350p9akN6m3e9dJatk4tx5lNZ2LWI6S9Z66X597YEjs2NWHdBFVgreRy3gWNmJPtnXEiVqkYUV7VE8VKAAAiGgTgTwC+LISwbRm4JyAs5bZr4gVC3CCEmCaEmDZq1Ki0IWdG/cRK2dCoNKEc4vPPRecQH6V6RcKJrodZK9lQyQLU6JhAFXEOWkiToIypl3HSVsLom6yOGqFzaMSb4gJuVoLGy1ACOBEHImpGQBh+L4S4OyzeGIqKEP7fFJavBTBeuXwcgPVh+TimPHYNETUBGAKg4YFUqpVk/ebpNzHhsvvLWbiidpN17R7Swf967hTYXSeRo51Ktiouprm1Qlblv7md+oXziPrI3AUA4LR37Z9eSYNV56ANJNjJZTRlreBejGIlTWqk999bOIdaEQeJHufnEMr+bwSwTAhxtXLqXgAXhb8vAnCPUn5BaIF0CALF89xQ9NRGRCeGbV6oXSPbOg/AY6KOK+OZ1zyJmxkb9GoJ9A1PBdYYajx9gH+ptpurZ6A6IYQz0el0UPzVSudQfvZV3jTHulcykyoxQXRbRLM1bJ0nmVqS/Sev5Ya0eN2OZCHMz9LVMU1d2NXndf7x0b5RX7j1PmvBOSxeu6PuJrG2nC1ZUOb2atKaO1w4h5MBfBbAaUS0IPw7C8CVAM4gotcBnBEeQwixBMCdAJYCeAjApUIISUIvAfAbBErqNwA8GJbfCGAEEa0A8FWElk/1QEehiNc27irHU1JRrULaJCPjXqpt51KetBXOBiEE/mbwxvzczfNwyOUPsOcI8Q9Wpni096Udq+0lkv2Y25H3/F8ZwiO4LvqVPMauosCEy+7HtTUeTy0kBLWQQZdSxEoqnDYAjv2qC6a6ODcrpr+6uClxXINF/bxfzsEvHjdnvKsFunQ/pApffneJlVJzSAshnoH5tmYYrpkNYDZTPg/AUUx5O4Dz08ZSC2zbHezqm/PJW7K9hFOPGIXHl5uV4Ft2dZTN1pIBxpKT2WWhrFQM88TyzfjcLfPYc4++uoktB4L7z9pjlmQ/NshseQsNVj5psO3IK1lEH18ePKdfPfkG/m3GJKdrGq5zqOZaC+tQyfNyvUTd9atrvJoUKE2MVAtrJQBYuj7d2qoadNaIc5DocWKlfQ1y4eYWE9sC8+6DhiXKSiWBQjgB3jP7b+XygiaOYcVKljctP6BKJ8PGneZY/bYxBSey9WW1VtJEGLam1YV1wmX3Y5PhHr5/zpHZBpjSrwlPhzb8XRl2qbWyAAP41LKV9Ge+NgPnkEGvlKWeKopSN2v6mqo3zdGGzkIJp/3nE3jsVff4RQ8tSUYFqCX0daBqJzgfsru+KH8UnD7Wcl0uR/jocWMxfnj/ctnFN7+Iid8MJGPqGuIia7QulFUShywLmo6sE9BWWxd/2Aiifub6J/mkSuo7cg4brVRbs3UPpvy/h/DmZjfv6EKG3V8tOYdv/vkVAPycbGK43jToQ9MzxjUKpRjnoBKHHFsOuHHim3d14M13duNb4XPrCdDXgUoNXiKT8KqHlAmpYqV9DbY4P7a0mESh2EW5zCRm0hVm3KJoW0cKVYqVihWys5XYYbuIIP7wwmrkczmrlU0inLPpS6joA4vaumfBOuzpLOJP83k/hLRxVQ+38S/fGIg8uO6byhM1++Bk7xt3RJyZ/kh1MY46D01z0pUuFg1ipRhx0PrfoxEyri9pQLB+RzrX3CjUSqwkc4I02s+hzxEHCe452xbHPAU5c13ej75j4K5xUUhXOhcqtebQiZ8L9PoogY99AAAgAElEQVSvrIvkuHKntHDtDiz840JcdNLBzg2pu6yWplxqkMHouvQxZsXs+5diUGszvnS6XfdQS7GSDZJzyHJf+qKucpf6vNcTFFXSvgkqF6D+bmlSOYf4NWu27TG2IaEak6x8ZzcmjBzoNJ56oqsGYT4A4G/LAlGZ1znUGfIBszmTLR9ujgg5chMdJHQO3Di04+/c8wouv3sRAFUhzWOt9rFUYgder4mm7sj1x/nOLnM4AdtwWpVdZUys5HgP1d7qr59+i89loaFRCmnJOVTS248eWIYv3f5yjNjqZrv6jtdN5+DWv9qWOm9VhXTSOknvi/l2ld+7uklkpiOLSNIFjTZ46HPEQYJ7zDaZIFGww3IiDprGjLtGL7t5zircNndNeL2dc/i7nzweO9brVRPv3kXBrOLRZWYFYF5fdSzEV38e6k6wEhm7Ctn0G5t34apH0hf5ivsxlA/p31z+XQurxGYL5zB0QHOyUKm7s72AexbEI8rq7/XNzcncHmmoSKxkUEjrm520YyBOnFwi4jYCCZ1Dle15zqHOKAe1y6qQJkIuV9kuirvmrnlmmXfRJaGD2r523FWoUKyU0uPQ/smF50ZLtrMsi7r+jNQFq0nlHJRyNZOdilH7tcaOJeGZcdWT5X7qES475jugNH/2MQew5epmxKSP0fNuAKpYKfm2hjDvqFq4zCZnsZLycagMdszPIaHz0NtItqs++56SDMjFiTQLPOdQZ2TdGUvkc0FaRBf2WVeocZdsseRayGrKqk+aHXu7DDWrAyses4yxSdPw25Zj/bmqTEdLTKwUnbhlzkq2rdnnxl1pGpVWMi4yiX43O7hbf/2DR8SO5X1yeSP056oi4V3sEOE3lVA6PD7TPOjXHB+rOj7VXFcNtZ62ueIWSZWg6GLd7kLSWqm69jznUGfYnm+T5SPOUfDnYjGQ2LlkfKulFJ2DDiGA3z7zFl7fGGQn276nslDBlHJ/vL+GuT39edqIlt5vPD+xuQ8OuniwUEqGDKmH1+mOcn5m872YMPmAwXjfpJHlY9NOfNyw/jjliFFhnTgeWboRa7byaWGtSKUNLjosvo5OeNSFX+WK1GyJyc1V/DjNqbTRO2wTdJ1DtcPyfg51hm3xs+3IKLRWcmFZE7TBeXQBIs7B7cqSEPj+fUtx9rXP4M55a3D3y+vSx8iMSgh3RzUTZh45pvxbT4/69Ovv6NWNbZsUz+o6axoOp6DXLUfqsX7c8NSb2NnelWhbJZK2XbpKRExOwD8779iyZY/ez+cZr3jZXzW0sKuYHo/L+C6QfBcSbe38ZiExz3TOgXk26ndpstbjnk89oYuVqp1yjfZz6HvEwXIuoUBVkCNCPkdsFqr/uGtR7Fif3Fl2Mjv2dKVaK+mQzXcWS/iGNpa0a1QUhbAvmsw5/d4GtEYZ0LIsSLqc2bTbTmuTO18oiQSLr1t81Qq72guJx6Saadot4qLfpteQIzUQm/u8stV0cdq0WZrZ2k/4ryjzRTWZVYmPvgHT204z8OCs9Xbs7cIjTLyxevoOdBVLMUV7tRyN1znUGbbn+8wK8842nwNam/KsDfgd8+KJYVwU0iYc+/2Hyx9HpToHF7DEoSSwaK05tlFWnUOWUdkU0i6wZcsqlkoJOfRfFiRl+ZXg3KkHxo4DX5h4X6qDlwr9FlULLaOYhih6NoYHfPrkSLntQkCGD2hJrWN6HzNCRbpxDmrF8aisfHlCrOSgc1Cfl07471u0Hsd+72F2ePXcjXcVSmjO53DgkH4AAl+pauB1DnVH9IQnXHa/81VEFDhjFUupu42kUjAb5OWu16WJupasT4Zf5q75+WMrcN0TfNgKwPBRaqOcv2qbtb5r23GxUnTOKTuddtxVFBV7q9q4SQD48umHx45zuWT/6u7RmXMwPLqAc7DjoOEDccy4IQAiEUy9iPhpISFyFSup71k919psUUg76BzU1/uVOxbibcVTet7KbYn6ErUKq21quzmfw3X/3/EA4vdYCXpsJrh9BWnP12TZkiMq20+neZAm7bKTdfbrl+6c7qxzSNn+nH3tM4mySsIeuyikV27ZEzlYZehCH45cRDftbDeGROAWWmLGVGTESq7gbObVRVwfA+dF32TgHJJIF0Go4jbT423OE0YP7mdtR4XLNDMRJLkbdhYrqa9BAGOH9seNF03DR44dWy5OmLJqbfzw/mVMP/FKH73u2fLvwZZvrZ7rbVdJoDmfw6BQ1Fotl+J1DnVG2vNtNySWz1G0UKTtQhOZrLheHV60TYGropKFviLiwAyaa0YqGqvhHKSIZdnbbbHyeIYy80hVFErC2bxRX+y561Qdgp4DJPAVMYuVbAppF51DEOPLHj4jn0v2YhMvubwnow4ojDlmGkzCOCA8bmvvwt0vr8O67XsxY/Jo5HOE//n0cex49JY5Jz19Pm9QNhSDLb4f9bQA6iqU0JInSNJa7c7fx1aqM9Ke757OIga0JB9LjHPoKgH9zG2kZbICKrdceIXJ0FWJ009lOZKz1cvSg879GM0/HRZQHcVSqeIcAF3Mda1NebR38e0JRO/7y6dPwplTxmCbalqcEqKl3I7hneaIQBTqpAxPoCmfK7flxDmk1jCPp1gKbsk0N/RiOR7OcuiUI3j9hcuiaKsyuJ+ZONRV51Ashe8iOK52bfecQzdDLpp6MqBcjpAPTV3TPrikQrp2b/XDP0+KiCpZ9yqyfGAv4bgJEf6vvGmXDGzqG+JoyQGhIrBQqnx/yD2mmGmq1q/6XFuacphy4GCcPHEkdHQUirh3oTmMhWm8qs7B9AqbclSOMFyuY9M5OMwF07ssCgEico7WKvtawCR1ko81qXNIh22DZJP119daSaA5TxGnV8Es/P5fl5Z/e2ulOiPtBcnn3785HyuXTnCAC3Fw4ByUwmo9mivZFb+qiWtc4JrR7g8vrA7PVS5WMiGmqObOE2FQa7BTlAmaiqUUE92MUPUXCQ5HRM+EEyHJkqsffi2xQMY5B2CbwYveZpkFBOE1ap132ORpXSyWjJyDLQYS9z7k/Se4WoebuOW5lemVGNSbc2iuknP4rSU8Tb2RShyI6LdEtImIXlHKvktE67Sc0vLc5US0goiWE9EHlfLjiWhxeO5aCr8qImolojvC8heIaEJtbzGOtBdk+giaY6y6vQ0XayW17O0qY9DXKGtiKrj74Bb1X4aJerJ8DAePcAuxnOZtLITAyRNH4OpPHItvnj1ZGUftVoGDRgyIxqP3j2gOsQrzsFCmlI2fU9oRAsf94JGKxtecy5UH5kJ0q1FaF0oCuVwyIOWKTW1lx8NLTjkMN/3je4K+wo+HE2vmyroU/ftJ2YyVhNXxM6vvTq3QVSyhpSlXs2Q9PZFzuAnATKb8GiHE1PDvAQAgoikALgBwZHjNdUQkt+DXA5gFYFL4J9u8GMA2IcREANcA+EmF9+KEVOIggK/csSAR8OywUYOiD64krBZCem7aZRuSuWpr+Z4bFWiMTVrE1Qv/Z5nMJxwyPLXO/G+fETs2kQkiwsfePQ4DWqSViDvn4GKJPrR/5BegK6RFjHMwgzORjXlIW8drV3D2b8mnip5UuNQxvcuSEGjOUUxxv2JTG06/+qlymPP+zXm0NsUtdjgvZvlM0tKEAsCqLZFSeqHFN8c29rRz1aIz5BxkoETOYm7Hni68ttGNi+9xOgchxFMAtjq2dw6A24UQHUKItwCsADCdiA4AMFgIMUcEM/oWAOcq19wc/r4LwAxK2x5WARe535+ZXciAlnxsIbj1+VXG63VfgRWbkikp08YRfFBuUr9KlMuVgBcdMBUtooOsUCfC8IEt6R7SakwmZcfmOpSsj5II+MnHjy4fC+XNmkxtAZ44xK2VzDL8NLFS/+a8YtFUGVfQos09UzPFUqAAV+MIvb0j4IpeCn1eVJGsbTwmsS13yRV/Xlz+vZOJXOsydqCujENo3JLHwNbAwGU3k2fi4798Dmde85RTe436ziWq0Tl8kYgWhWKnYWHZWACqu/DasGxs+Fsvj10jhCgA2AFgRBXjsiJdrBTh2x+eUv7d2pSLTd4s4RcKJYGzjh5jPM8tBPmcW9Y5oH6hIFwwdmj/RJm8nyy7MuedvUFpy8r3y0pZN87h5dVmZykV6vsiAJ98z0HROREtgNbMgixxUDgHg6hQQCGYhntSOQcXyzHu3D+ePCF2LN9lMm5VECJC5QTKz0dyUETlOFu29U16f7uIZfs3RxaF3KLLjT3ruWqxt7OI/s15DAw5WC4JEbdxNKG3EIfrARwGYCqADQCuCsu5r0FYym3XJEBEs4hoHhHN27yZz99cLdTJP3JQJD5obc7HdA6STXZBSQiMHNQac8ZJm5OuWecA4Lv3LkmtUyurDL2dEw9N0nHhsCA1ApEM241jXMyYCXNI24laOYewjIsArOscTEizfgk4B1jrqODmmR7qwfROCyWBvCZWKjFftqsxR46S+gtdTAvEnUh3pXEOtnN1nKR7Oovo35JHUz6H1qYc9nTyPlSAW1j59q5iw8LPAxUSByHERiFEUQhRAvBrANPDU2sBjFeqjgOwPiwfx5THriGiJgBDYBBjCSFuEEJME0JMGzVqVCVDd9I5SPRTLJZam3LlD64kRKZsU0KEnrNqWcqY8oySzwSXnNG1+ghsgdTKfZX7zMA5OJKSLALHaPfs1raaX8AGtTndWz6NS4nESsn5c+SBQ6J2LP2zuymlU9UJLgqfkU22onM2JpPYUkmgKZeL+YPIvua+FXzGgW+Gm99Fniihc+BStKo5PtLSgtrD0NdvsW3vKqJfuIlsypF1YXcJ73LdE2/gu39N3wjWChURh1CHIPFRANKS6V4AF4QWSIcgUDzPFUJsANBGRCeG+oQLAdyjXHNR+Ps8AI+JOr6xtEVIXWj7NedxcGiZ0pSjmDVFcwbiUBIiuaiJ+HkdAXFwa9/F+7dWSmuXfNWRCKImXWaC+pjL78thLEKIhHLZFFZJnUN6tjuhsA421RmXJe+fTp6AIw8cHLVjGGesr7BM1XPJxFR6fRO4b0J/FuV3qtUtCoF12/fi7vnr0BFGF9BbI4KzU15aTpHy+JSXk7awdpfOoSQE8uF7zqUkCnMN73LLHLOus9ZwMWW9DcAcAEcQ0VoiuhjAT0Oz1EUATgXwFQAQQiwBcCeApQAeAnCpEEJuxy4B8BsESuo3ADwYlt8IYAQRrQDwVQCX1ermOKTNu3+/c0H5d7+mHP74hZNwyz9NL+dzAILdc1Z5eo4oNhPVjyyLWR8Hl4W/VrJVfahc37Lo0Vc3Obfrbk2UYsqq1lU4vSwco4S+QKp1jx47BH/4/Ak4YEhS5yKfNUdcZJsma6Wjxw6JtcGhLDIKq8xfvQ0/+7/lsT7K1kraf9P96NDHZyL46maKM88FAoItxVRpZtf5HBll678LzWGB+LNNS7RnW5RrrXMQIbEEgu9a3jenS1HRmRKvTYUrh1stUsNnCCE+xRTfaKk/G8BspnwegKOY8nYA56eNo1ZImwrzV0dmcf1b8th/cD/sHwYxy2VYbFSUhAiyyBnOcx9DXlHgpaVidlFU1coXIhEhs8FKMmNUDctC7KJzEEju9IPrebHZgJY83ntY0vM56CscEzvQ4J8pfDMpGxATdAc3XZadV9yoKw2fkSQO/LWj94viyJQXLa1uOf6Sw3jyOTKKSccMjvrSHQZtsL37WnO3t81dgyv+vBjnTD0Q2/Z0lZ8j5wuiwsT9fOioMXjwlbdjZY3iyPueh3SGJ9tP85IuT/CSvZ3TJ4+OHZdCkUWHEtRPvdzGObh83Ho6Qg4u3AVneaRDb+b2F9fwFTPCNLrMeR2Ya0sOHtIiJOAqjOIKYR5XsHEQYf/JSnIcpt2uvOSdXfwuXEDlHILGdLGiGgRW9tfPYkDBzTGda5LBFNWq3zp7Mi5674Ty8SvrdrLttWRwIB3crznhYyShDsklSKH8rhrJOTz9emAoc0+YL0SOmVO0qzCJhrl51qh0oX2OOGSB/kGpViK2CacTjpIAQIilqlRrXPL7+Yk2Is7BQazkwjm4EBkH9kJtxiYnXb/dnstYJWidhZKRA7HKi1NuSdU5pKEkzGIkDibxlqJyYD/skoVwAOkiEg46EQvESvHFeMgAS2RS5gHpw5MZBtVd/QePHBPjMKQ4RW+vtTmvxHqyv439+jVhpyF9qPrMyYFzKM9Pq0I6frxqy248+ZrdErKzUDJuyHQDBckhBtaH5jaLJRGGedE58/Qx1wt9jjhkea7NTZyYIXg51l0AExsm6Ulrl9WWiYMyOUwLqIu1kov4R53vh43iw1mou5bZTFx9iasfSVqYqFBDKh/+rQfxq6feTB0foDm5pSykWcSAAozRgKWu8ZzSF29VFJ4zcQ4ZkqvKUSQ5ByVbnCWUx5lTRsfaUaETKRnixbYhkKbaenuBj5Ab5zCwtQl7Ol04h+jA9C0WDJzDv5xyWPm3fukHfvYELvrtXOsYj//hI5j530+z5/TFXX7HRMkMgSqKQuCwKx7A1/5oTzlsKqsH+h5xyPBc9fSO6mKTtgtQIXUOEgePGJBKpDjOwSQacuMcUqvE+vr0CQezddQhzFvl6jifhGtWLNuCnfYuVfm9aUGXKRyFcAudUa6rVT4tTJcZcA5JCjD3ihnhWIJzJi4ljUDtv19rQiGtL9iqQrr83rXb79+cxw/PPSrekILdHXE9huxTVZwmI9LKa+OLe2tT3tnPgfjhlM9JuHBYcndvNWWtQETT1l4wOq/pnuUyqGaeyKr3k9/wn+ZHvsK3z12Nh5m8141S8/U54pCFdxgxMJ5bV939LGVSb0roH6vUOUi0OGQGK1t3KBM7bYdkg00vIe+zQ7GCSIQsZz5umxgmdeHOsEOOX2cvb9MWJmkaaVxwFG7QNWqLKveXOCfMJR0zZVXO7z+4Hw4bNTBd52Dpd87lp2HcsAHQbZH0+aZyDnJh1OdOv+ZczOhBx03PrYwdS9NRm9moXOC+fMeCWHngI+QmJg3el/mcPh7AvPhLMS4X5PWSkHuo9UKrW69JnVyaUyu3wbvs7sVMzWx602rQ54iD63M9dOTAxGKhWlz8bZnZTHOvZmpW0haermLJYdcbXVtupwqLI1tqU6l4361YvejWKvJYHbZpITtjyuh066AaTHCXtZxL28mOJ4tYSYgEcYverzm2UuAIadc52CAXHp1z0DcHgRNcfOHXn4E6J7l3oW8m5EbAJlYyLX79lOgCLpsG89wh5lfU5pzLT4vVljo0rrV3jdkvvLa2C62+qZKgFD+HLKExPOdQJ7g+V14Oa/6YVCxauyPB0uYI+MWn3w0AmHzA4NT+xw0bkOirGkc2G3HgbO718A5l4qAM4Z1dfL6BQ5UdsgmVTvB4iIn0+nLHZlxulIXWlZvhOIcyaRCKXkFrL6eIFsxipfQxRKExArBiJY3T4xJQxfmPOHSCI6eDzR7ftMC1NuecxUpw5By4CLb77xdPz9hVCE7Yvtes8zDNMtDExedy9nFkIw6ec6gLXJ8r9yJdlWoAcNdLa2N1CYSzjzkAr/5gJg4fze9abr14Ohb+vzNx1z+fhPdNGpnoq5pJYfuouTg/eniHPEMY1zEWSU1hwMCsCZFcEfcPSLZx3EFDY8eEYMdm+jDVRdTVUujl1dvjqT8RX7BN+RxURyj13KEj3XJZlNvRiM7Lq+Mhq1W/gigGXvz+93QWrbt5/f3Ixdi2yTBtXrIopAnmDZxJ51B+3lp9GdLjh5rhxKT9BynEOds87EqJRmBa5NNMWWUOFA5J3Y4nDnVBNWykajefBqnMVjkHIGCxdbGAxNih/TFkQDOmTRjO7rSqcThTfSx05JhVUS/iOAcOrU25IN9FSr1K7yTO5STHrRsRBI7pZs5BLhKvbWzDH+audh6HtOmPRhI9n8Vrd7CjC9JpJkf+53852blfFfJd6CHmA+uluIxff2+FkrA6ynGcwyvrdsSyFiZEVSbOoSmf+HYOMRBEg99heC56apwTnL6ImnwHPnrcWFZs64I0T2Y7cTBfpzu6qZg6Pr7h8aasdUI1YiWdnQeAY8cNidX5+gePAACMCCO6ygmhLsAm8YU64TkFnj65rv3Ucabh49MnHBQ77iyUjCaCPOfAi5Xcomo6cA6OX2VHV1LZaoN+VuocTMOR7X38+jlYtNZsZJAWaLGcrwACl/4h6bcixxZtFqKR2nwQ2HaUvjh0FUuJucptimwSrOED4sYYwwe24sM/fwY3WEyOTSKVOOcQ1Dls1CC2rk20Z+YcwvPaDZn0I2oonKwLbUfRHrrCRBxUrjErVm+Jh+T3nEOd4C5WSpZxXsv3fPHvYnV0xS0nRij3Yemfm7z6xJOLOtf2J6eNjx13FEq4xuB7kLbgAkFCFyCduMqPII1Dc30P/3rby7FjjsuxIUeSEPEdNjPRUTkMTVnAo51xJHrQxSy5nCJmNNyGi55a1W9wGDu0fyIiLbvZsbSjbzxmhKa6KnQuzUTwW5qSllG2Bc5E9Ew6ByF4YwKbFZ/+fFxQKJbwb9p8vOGpN3C3Yn5q1Dk4GkZw2KLlEvcK6TrB1a7ZFqnS9pLLCquwzqqQ6se9O8MqlobkGqgSBD2pjxzPcRrbyaGjUDKGNuY4B32n3FIWk9n7kc4+6Qppc4X3TRqJUfu1AkhafnFjlf2ayksWzsGV2Mjrze9Mbgqi8zoxzymOUFm8sRM9MRysimEDWxJiE1uIDG6ujxzUGjvW6/z8U8dhzJC4AlgSQz18jB7u3jQeIMWUFYTxwwOLLdWfwOSjYg9emJ1zWL11D55/M+7b86MHXsVX71xYPjaLlWq3429UPLM+Rxw4LPzOmfi5tlPiOYfgv+0lS4Wd/Jg+f8s8AMHEknBRhXFcyr/dHt+1yN2YabcyXPHT6CyUYgvoqUdE+TDSspIBkYmejaD9/nMnlAMMuiqkuexrIwe1Gn1BOLHDro4C3nonyCnMKYFVncOHjzkgdt5EbABg+oQor3UknuHrcnokXeZNRJBFZj8H/sQX3n9orJYJ3zp7crydMlEzj5mbPvr41Dqj9mvF3x97YOIauS/S30GzIlaS88cmfjGSXwL+9+ITwvEpnAOEIY6VjTgE/7Ms2C4WRfq3eERofJKmkO6J6HvEgXk/Q/o3J1hkDi4RM8vEIazDyflNm0Z1wucYBXC7Jn+XC5tJSSYtnoJxFWMf/OVnTcaPPhrkPk5Ldg8oCnYEH8lzK95JXHPyxJHlj0A+o34GT2h5Wx+97rnEOduHFBfVBL/nrYx2c5z5qKpz0He1OYtoblAsc1/KjpcbKyMGrHTXd/lZkxNl3OKnF0UpW5Ntqkp0HTpHpd63iXCbng0XeM/GHdgW9dFhZFaVk/nF428Y8ooYm6mIc9PFhD9+MBk+Zq8WIfeqTxwLIN3PIQu8zqFOsO1KYvUq5BykQ5lI+QjUc4PCBOSSZdb72rq7E2u27onFYBrYElmAmDiHn553DP7wuWCn1VEoxRbOHKGcyIglDtpxsyJWOu+Xz+HTv3mB7ZMoyOT1SOj2P2JgK1svLTvXhh3tZasfFabESFH/8XNp7Lz0WeKWiu+fc6QyJtk/3w4npuCc02yOWUE7xqGydWS2tfI4NTPaaAjJHmUdzpItkexHuReTo5dpZ92cT/o5VMI5qJDP2RS9Vu3jhEOGJ86l6Ry4+amP+VdPJpXzq7bsjh3LbztH1VlKqmiUziE1n8O+BvOOJR1pTnD/ef6xeNeY/XDto68nZKuq5YSeA3jMkH44fPQg1lSvJICTr3zM6nVtcsxpbcrjiNATtLNQinEOwSIe9M9xTZxoQN6PblevIlIABzApu20TfGX4gX31zgWJc9yzV30f9NMUciHyOl123mRQSB8+elBM7l4WK4W/PqNZg5F2HgCKpSSn11WMc5aVQFUkf+JXc2Lnymad4XF5HjJTRD42zqpHLmoSahXTO5XzSb83NTOdk0LacIrLqDjth38ztiP76N+SDFcuM/GZ/BaEYPwLHCIU2BTSLPdm0bFIHDikH9YrgSo951AnmC0h4jPBZvpnmiTnHR+lyRbaf+4DlF0USyKxSKkyUZ0wAAGLmyt/3ObJItstlkSC+Eg2mWOx9bDJLVLnYOwpGrfKfptk67YJLi2juF009+xzKZyDEIr1mHY9FxYECALTqW3p/gLSg13vN51zCMqee2NL8kbgtknRNxcqhF5HcrAc5wCzzkoaBEio78tEUG0om/qmKqTJOMcC14x03ZeEjduTxE8PEli+lilzCWmv35eaFZC7Z9P7Vu/vPM3y0MdWqhNcOQeumlxEN7a1M2fDdrRF4uARgbPPzCPHJOpIFEqlhGI0jUs5ePgA5eM2R8o0OTqp8m9uAR8zOB5ATFqHpMnMgxARUZ0hA1pw40XT8NOPHxOrZ/vOpGhOzXAmF6u0xDQ856AuknHYzHi5dk0pQDkLIk7nUCgKPPnaZvxtWSB2u/mfphv7N0HlHHSYd91MO2FDRZcc5EoDuj7ipjB9Z/RuzO+oJAQKxZLR05oA400EG5ywB8OQP6IoyiOCnqw8MCQOJgu+SkNlJyMyB/9NOgdbKloJPWtgjzFlJaLfEtEmInpFKRtORI8Q0evh/2HKucuJaAURLSeiDyrlx4d5p1cQ0bUUbm2IqJWI7gjLXyCiCbW9xThqIeudo+36nr98Bp76+qlBHc0W6dCRAzF2aH986OjISkZXmhaKIrFI2cINTBgxAL///AnlBUq1itEnm9qsmmFr3LD+OHniSJw5ZTS++5EjE/d/0mEj8NTXT8XT3zgV75s0EmdOGQMXqByJ7H/G5NGYNDru9GQzKZZmtGu3ReE5pBVO/HkEg7Yt8IRgcZD96QvF/oN5nQiINHGV3PEGx/pzVne0Mq/BWUdrllH5HAolgY2KiCAR7iO7njQGU+gO1lop/O8U1Vepo29kTjlifwwf2GLVs6nz+YxrnjI6HNp0DiVhj6ZkL2UAACAASURBVAcFAGcdHc1TmwgrjXPgrnFIuJg0CFA2E1kcEUvaN5Q2tnrAhXO4CcBMrewyAI8KISYBeDQ8BhFNAXABgCPDa64jIinwux7ALACTwj/Z5sUAtgkhJgK4BsBPKr0ZF6TF2InqJevICa7vNsYM6YeDQuVulPEq+N9RKGIAI/NU6xRKoixKifoK/nMTYcbk0UGQMUZmrO8y1B2bjBU/uF8TiAj9mvO44cJpOHjEQHYHc9CIARg/fABuvfiE8seUNi+J4rsn2aou9w0siPjGOG9k+Rzii3lQphIHneiUnY8MnAOnrJTjVh+JzjmYODQBYMqBgzF9wvBEgMWmHAV6CEpcVsaQ/une0rbdc6Rz0MSkrEI6qGNSDs+9Ygae+NopAOIcI+cbQrD7MKhiUml2nBWBziEuLrPWD8fMcalSz2bTOehwESvpz1Kak5ss8GwZBSUSlmM1ygefhlTiIIR4CoCe1eUcADeHv28GcK5SfrsQokMI8RaAFQCmE9EBAAYLIeaIYEW4RbtGtnUXgBmSq6gHjJyDg7S3TBwMOW7VduQc2dzWkUhsE4kggkqBzkHbicpFnVMkhv/lXNupjIez81fHAxgU0NzNsO04iJViu57gwlGDkjJsrqlBrU1oZfIdS+Xwuw8apoRbln3YxhP2FR6PHdofhytcjHxfehPnTD0QRIRTjxgVS85UXnwNRFgIXpkJAJvaOvDaxl1Yuj6Ky6S3M+v9h+mXJVDmUmx1tP75POXBf3XRu+9f/w7/9+X3AwhyUEwIYyCpnANnrKTu+G0i2TSxZMDpmccdcQ7mL1ki8g5P1m0uK6T5lXbn3mSqUpdFWTd3HRHOWzUib2y0TpyDLlbqOZwDh9FCiA0AEP6XvvVjAagZ59eGZWPD33p57BohRAHADgAjKhxXOtLnVFjN/DG1W4LYqQv/Q69swIsrt2HZhja2qzLnUCwxYqXgv9XLkykziafUZpqYrzuNHHMydQ45iou5vnrG4QCij0SiJPjEMc/+x2msqeT7JkVOe8cfPCw2piw6h+Z8Dg9/5QOJ+1Lx0rdOxz+8dwIA4Hf/OB1nTB4dWTuZdA7h/85CkKuD48ReWhU4/N23aH25TG+npSmH/frZjQgjzoGRi4eL6TAl3Mfmto5ywvvbPn+i0k7QkPq+jho7pGzhpo4xLckTESncVXLMtsRCiXaUWfb2zkAEN7AljyNG75eqc1BRYsbzx38+CUBk9GAiDr9kzFRdQubbJBM2jirZTvRbnyO2yLi1RK0V0tytCku57Zpk40SziGgeEc3bvNmeBNwEo7WSXo+T0ZbZcHP76sL/TOgoltj9aAttgeEcOA/p8tjC/0drQf/U63SkWZukcU5pCvLPnnhw0I6meHuPQWxTEgLXPvp6onzIgGZjKAwdnIxbHx2Fst77F68vH8fPJ/sKIueSUie50OjPWYoaH3xlA0pCwGbQo2YLqzQjHsB/JLJMciAfe/dYzFe80E86LLnvSlv0iCjGOcxblfRql7qdQrGUMOEFzJudY7Q5rHIOf3l5HU6+8jEAwFfOOBxEkUmsy96ZU0i/J/R6lxsQ9b6uenh5+Te3Tti4njTPb1NsJZfvNZ8jHHlgJKLsYKwX64FKicPGUFSE8L9Mi7YWgGp3NQ7A+rB8HFMeu4aImgAMQVKMBQAQQtwghJgmhJg2atQorkrFSJiyMnWieEdm6iCbuWfBevzv83wI6IRCmtE52HZaU0JZNjexdHk9V4fjHFzXKG48Bw0fgB+E+Yj1HZLJ81wIPh8EYBcTsW1ZlopcuLDdNjdgaA2qgth9cQQk8jTmOQcZVvmg4QOgp4WV+PHHAo90m+ktN8bEeUsFGdaipSmHccP6A8IeIkTXEXHQfVf4OsHiN/GbD+LZFUkzXS66wIeOGoN7tcCVATEPfj/1erQB1HMzu7AOZZ0DU7Wsc1B24T9/bEXsfnTYFPe/efqtRF9q+Jog6GL8+pdWbY1Z5KkQsflImHZw2ebHKrmoJSolDvcCuCj8fRGAe5TyC0ILpEMQKJ7nhqKnNiI6MdQnXKhdI9s6D8Bjoo6GvM6mrFbOwSLqCetIU0XAbE2j7jaSOofgP8c5fOzdgUSOm8A///RxmPX+Q3H02CFhnbAdZcz/fuYRievSFmQ1DaYOXeTgYv0ihCiLOpJjcaMOnD4l2ZZdkbiZ8bBNpgBNKqT1FVqa3zblKOagqKJszuywU3cC04yaJyGfCyzH0sx1TXkPyuMBpSpjTWKTeF/xXTwf9DDyc1DHpYbssFk0qc57UaiOZG35vXWVHffS56ztu3/itU144c0tsXwXPzsvMt/mFNIfvz7uwKhCrbth+15cftZkfPHUiQCSYXTqBRdT1tsAzAFwBBGtJaKLAVwJ4Awieh3AGeExhBBLANwJYCmAhwBcKoSQZO4SAL9BoKR+A8CDYfmNAEYQ0QoAX0Vo+VQvqO/nk9PGY/F3zwTgZkKYc1iMuGZ0Gbrsq1AU+P5fl6JYMpuyCiEwaf9B2vVkHPP4YQNwxVmTlZhByR3biWw4gTSxEsLxJM/p8lGX+EFcFRkLypVzENzHz+gc1EVGf2Zt7UnFY4JzgCISKIuV4nXyynNWU3CqKBM9TWSV1n/yvBStxG/2vy+YmhhTSdid1oolgQ07eA5OHU+aGWeQHzuJ6z7z7lidmLiE1V0Ez2/OG1vwwOIN5XLV2k0VPek4eeIIzAqDFP7ogSD2Ee/jQaHfSclYR4fVcTOXwydveD5WNkOJ45U1tpJa96Elb6Nfcx6ffE8glNliCRlSS6SGzxBCfMpwaoah/mwAs5nyeQCOYsrbAZyfNo5aQX0/A1ubsF+/QHGXXByTb1J+3C6cA3edjsde3YTfPhuwo2adAzB++AC8vmkXgPjOiGvXpNhWFxJujKkLEpJERkJonINL9EruQ/vMCZHewjqW8LT0HC/FaENSvxMfT7xt0wKlH+sB7BJ+DuH6Ky2jDJvioE7M1Jd5h2n3H/7v1Hb850wdG68XEmpWjKhgviUcimzHJkqV4N6pmsVMDyHBPSNZ9KlfxxdaVfyiK63jYyV88j3jccNTb5bFliauoDmfKyukdc6Ie2I2jjgtJ0rm2EpKVTnGccP6o19zrpwGoN7og7GVzLvIeL1kmaxvJQ5Mmf6xl8VTqpLY5OdQiifOmaWEbubmY2LRYjiHSuTcHJGR+OVnj4/150IcuOcrPzBXsVK0YESN6e3qYi7Z9JUfOxrjhw/AiyuT6q1kZNekWMnMOQijziEKd2LxaEcyuUtifOE1aSkr87n4uxgxsMVS24zAsdFehwipWmJd9MT6SxA/N9oVJayNcwCSi7BpOjblKUrMpFUaxjwrG0ecThyycg5RZcn5EhGaczknq6laoO+Fz1B+xwPRmetF9V04B+Y6XZ+gtQckOQd1UVd7UychuwAxb1Sy6tbrHHfr6gZrwogBePnbZ+CYcdHukOBmh83touStOURPjyFN56C+L9nvBdMPwskTR7LKWk6spDt4mfwcSiJ4RjYOUl3UHSVoifEA6bt56a0u79+WVtben1tf3GsQeh0RP072xXMFp8dENEG7pp24auo5f/U2LF7He2M353NljkHnCkYOShIHdR7pIjyb0h9ImgOr+NhxY3G2lmfk4aVRTukjx0YWXbkqwr5nRR/kHKLfsZzNDtfK+vb0g+YdY7JuBKM4SIjY4hcjDkzDpoXfZjedGIxltOqH2685n9hh5XJu9uC2ODNZfSBt3enKVC4BT/Ia7ZgUBy9hrgMEC0jAOTBjkTt+JkJvJbAFXASCuVIqifJ8NeXWSIOLqNCkkI5vSuK77zTxmYrxw6NAh1IHZHrvKnH4GJMvRKI5T+gqhJyD9iy5b1yd17qjZmpucwvnMLC1CeO17+ju+evKv684613l30058pxD/WCQveucg2Vna08/mCzTJw5XR1day4W/vVDEU69FJn1J3YQ+Rp44qWPmCJizWMlAqNT+K9U5MPpaFvqlalt6q7rOweXD0hds1cFL/tefczm6qxBGJzhZFhMrpY4mCckduoiVSkKUF+R8BdFUAQDkYu6aniM5R4QXFR8JM5cbL0s4BVKwSTG9y8NGBgYceqrT+/41bjbblMuhy8A5cBZc6jPQ574L56CuKTrR1OeLOh6VEOVybt9XLdDniINpB52MRZNEWv6EoE6yLBmkLVn3nV1xObMc28NLNsbKTVZN5fMGVj2mc2A/yvSdD5BOHLqKwhhUTYUtaU9Wx7CYsZLWbo4otsNO06tecsphSWKutF3WOWjPUL6HNVv3YvnGNuPCB8R3/JUwDq35YLHgQrnH+wt0BXKhSVvAHg/jKOlw4hyQfKcnHjocY4cqDn8ELFFEPCbDCL2nhMgVAISZYA0Z0IwDhvTDae+K+0IdNTbucNfSlCsTAb0tlnMoxRd0FSoXP3JQK1ZeeXb8vGappYZsJ6KEKNUULy3vuPmqBfoecVB+2zKIcXI9J4W0gzyfq/OslnazTIi0vtKIA7/wx8VBfPiD5HWx8+H/tDAKXFpUDtwTlB9B2li+pvlp2KxAcrn4++rSqIP6nscO7Y//mPku6JDjEULROTBKawC4Y94a9rxapjpeVSJWkg5h6rMeE6bPVJEPxThSX5CmVzKF7UhafPF11Nfwvkkjcfusk2L3l8vFF0jW6APJNKEc5y0M15f7Iko1v1WTL+nWSpyOJcZ9a49SJWB3X/JedjzqI/yMkkkxRxQjLkKIGFeobjQCIwPDDdUYfVrncOSB0U5C/2xsru420QT3+ZnESuoE+4a2KMmFUv8o00RUrDpB+3C5OmkLh5ygaqpSjnNwlSNzC7pc9NJa0PUcwvA7aCturaTLltUj09DLPieI3kfyPVD8ObMcZPC/I/y6X5/9Ib7DFJSJQ0fEOYxgFKjSWqnMOaSYtJrO6mHY2WuJYnODI3r5hNKapQ6JUi48uhBxsZJqMgskPZK/dubhia6a8jmjtRLHOcT8ZbSn1ZTPYfohw5EjlCM0q9iwYy9WbNoV+MAkjBni38267XvjgQ6VuZaXkX0bgD7HOUj8+sJpmHmUmoAn/sK4jyEyLzW3yy0wpkVHnWDDB8ZDNZsso0z+EDboCXg4bE0znwzHqubsff+kZAgTdTj/ePKE2Lm5V8zANZ8MEq5zz7BMHDJupu07yPguUP/o42EK+DZUrskmolE/cJ7zjOsc0sQ8JuRzgQPX7k5zNF4gaa3kYm7JgcDL4PU681ZFZsG8Qp40ESDfjk4dVGV00E6ci/vW2ZPxl0tPjtXJa2IczjS1JR8ZK+zQorBy9yvbe/dBQxOUNE8UOj/yz1D6kqzZmnQ4zOUo9uyFAPYqfh3qewsU0mwXNUefIw5SvHLwCD7NowTHRpc/bgt1cHFM43QOpjShSc6B94ew9W8yMzTh1xdOSxbKXa/C7l56ajK8tNr/EaPj0T33H9wPk/YPyjidQ8Q5ZFs0baIKPWic/jxjzoGGflWxklw0dL8UIH7vthDZQsTzKleClqZczDHMNO+EQhzSiJGROBKfi0BFjgjDB0YKYJ47jR/zvkTJuforxY9Gti0QEWDTnFffAZfUJ58LvOeFEPjI/zwbO2fTOdx68QmMqDi4nzSd/26D2FW3PFTT9KqbjlwDOYc+K1bSp5N+zC5e4YJgN51MIiFqYSazzvJHZrPxiaCvSXJSnTFlNE6fvH85/aE+plhUVot44dypB+KMKaMT5XI8arC8tAXSxkVxjEwW00aJF97cYhUrLVgT9/7Vn6cT5xCeCDgH865fvd62uTBdnwXN+VzMMUzfXQPRAlnQFtETDx2O6WF00lnvPxQ3PPVmYnzxcadniwvqKHJyB91bBxNAjhAXOU4/ZHjC6qgp9Gy2cUS6fmP7nmSYlGDTJBJz0SS6kdKEfC65jdi+pytIRpSyseF0csVS3PRZiDgxi4mVvEK6fiiLhHW2UJtg3MeQiAzJwUGsJBdBlXXVOQd5qCufkpxD0Nb4YQPwyfccxA9JkYV/Yto4NplO1K9ZtACgvJCYoN4r7/Mhy5idWThINXhcGj55w/OZQhjLXNQSMZ2D4RqZnGf5221W+b06h0yLqbz9LMRBzygn+1KVlpd/KKlIz4UiiKI25ttnnYSvhkp9m1FGuR1ySNJD9hhWsh0Vf2ECL+rWSlxWwAOG9MP67XujUCYGEZ+6vm9nkvfIBDxcfnXWlLWoEAety3sXrg9yE6S8Vq7dQrGUWFtiYUYSOgd7H7VC3yMOBo2hHlraFN4hlTXnYuUYrnn01chM1cQ56DsYk5+DjRvI5SLZ6tihyR0mEGQ+AyrbvZtgkoMDwFItARIQpciUUWddMevWl6KDFPHHew8bGS+IWaDw9/7gK0EAuL8t21j+uE0+HhK2uP4Az3WZcPUnjmXbUUV8MiqsishayTxmdT6ZdQ7pkXYJevImjrNKn1t6DW4js1+/JuzpjPx/TA6HRSHKns5nHXUAW0eGO1HRlOPvt8w5ELHPyhSNV6+jo7MoYjHTdA/xpgRx8ArpuiKNczBB3cncevH01HaB5EcnWcYHFkcu8s0GXYK+0TCZstrGTwB2h5YtJiIiORdTO3rebBNUsRZv1hv8f3L5plj5nV84qZwEh4iMebdrjZj/h6EOJ1bi8lSoj85MHIL/WTgHU1/qYmzSORRLUVIlLjqrep1pSC6cQy4X9/+pRmqmrtVjhzImuuHO/t//uDA4Ntx7qSQwfvgAvG/SSPzdpJGJOtJxT99PNOVz7PubE/om5Bixkhy46b4/NT2IqMqFBhFCIw4COO6gwPrqP2a+CwNalGCbXiFdP5h0Dq4fa2u4QxszuF8sdaUE14rLjkn/bsnAOZiC+Nl2/Dki/PnlwB3fdJ8tTRSOgz+/bY/dmklCjUljexY7tTzcal5nOeZKYPtuvnX2ZKZ+OnVQFcmFFDm3hIk4yGUlzaxUBWsZpYmVTNZBe7uK2BSamHJzRG3brJCPm7J+anpSfBlYD6nXJNvRkzt94HDO2i0eW0kXAwZjzsX1GwYurhSGnjHNJWnumiAOiv+DihfeUoI0ak0eMXq/gHNgewLODSPmCoFEsEchkhkTSyWBDxw+CpecEjf6aMo1LrZS3yMO4cTTF2ydzT/tXfuDg1RKm3bYLosat3vQ2eeyQlrbJugssByGlXNQFaEGcYbcnZqa0SekTAtqagfgLTcihbTQyjWixw8jFccrGbN0jBvWP1GW5v8BRGMTiN6HzukB8cXXlBwn0jmYPz09CJtJhNWVEqMpr9XJc3oSpcyskI/rvs5kDBaWhHoZ25h1fOaEJJEh6F74zHPWQkjwASiDHbaw7OYlAdGJlt4+B52QDmzNQ4CPxivHAwT3psZNAoJvYXC/yJRdILAK5PQteUpPvFQr9D3i4MA5HD56UCxJiQo56U2Tn5sbXIRHHbpCSi407Zqy1TRp01JBSugxnKLrc7F+dejKbjV0uLFfi0JaJw6mhEhZccVZce7g4++OstNyH25MIW3o9NBQQd6syHu5969en65zMN/gMVqYB55LQSrnkNd2wGm+GXbiELVjS8sajcf+As+ZemAsGU7UmU4cklV0nQBXR+pbTOHTAWmiC5x+9ZOx8iBaa5rpbvy4WBJhNF57fTXWlYTelfSQ5gxgAnGZdWg1Q98lDhadwxFjBrMKPvU602LMLYhXnR9XKLoEVZT96M45bZo4xmaxIaGeMu1Ym1PESi1NORw2amDsOA02ixV9gvfTOKdKfQB0+fyhypi5ReLz74uInKnH//l0sFEYtV9rWQnM3b/66KqxVtKJgckTPU4cOGIFbNyZ4tHuoJDWfQZc5m8a5/DNsybzBBbxvirmHKRYyRA+PajDe+o7cQ5am0VRlkmYrgAQEAcZYkUimX9ChJwDY2SQ85xD3RDZKulipejYJg5O5RyYJ7o/E/cmDXKRXqllfTpwaFw0IieWbbGJ5Y0w3FxZXGZZlNV7bnGwtrHFmUoEyNMdBSuVK2nQLT10DB/Ygn/+wGHWPocNCFh+ye4DvIml2r7J47zMOVjESqZcESrWbNuL3SlOcPct2hA7Ttc5GMaDOCfkIvJOs3ozmVMTIZXb0Xf2RrGSJXy6vI67F5POQR+nimIpTYQV/L/q4dcS53QuuiRCsRITYt0rpBsA/eWqH6tLaGOZtlOHPpm5RcTl3XKT7Kmvn5qwupBtpVkrSZjESnLHbRub+hE2u3AOXFlYmBarp1KFtA5XO37ArpAFAjFFp4U4qGP+0ceO5tsK/1tNjxNzM1lX39m6PC7WH8CVczCEmzYhjfMzcZ6EeLRZ05jTdvYyfIawKaQpuTC/9sMPoSmf3n5SrFSCEOmOlFziIb2ngHMoshuwXqOQJqKVRLSYiBYQ0bywbDgRPUJEr4f/hyn1LyeiFUS0nIg+qJQfH7azgoiupWriCqTANLFjnIPlqXR02XcUKpHZr18T/qrFkA/GkDJI8BOaC+glJ7ezQtpA+OT928IkxIiDYXGLy/DNY0mb35ny7VrgYscfJRni2yhbK0HlHJI7X/loJ4wYgFOP4A0a9oQLXxaxkk1kGI3RXufHBmKlboSMTZCWTS91NPZvCLAQB4rni+aeU5MmWjFlRCyJYD6b9npcAp6WphzyuXSdg771KZaEXSFteT16V8VwE8JyDpTuc1Ir1IJzOFUIMVUIIQPyXAbgUSHEJACPhscgoikALgBwJICZAK4jIvmFXQ9gFoBJ4d/MGoyLhemxqi/VttCmKePUyXzJKYfhcC2+kEsbgLtYRe4iXBXS/Q26FLlLcc2Ty1nrJPplFdLBf3Xtf+vHZyXqbQvDHZw+eTQe+Lf3pfZlgh7RkkPa4kuICNoP7lsKwKRzkETG3F7krewuVnKx/EmrYhLzqMMwy+bjOTE4wq076qWN2SiWRfq953MUi67LNSX1JCUmCqp6nXovMnJr4CGth1mxc2pBXxbOwWJ/lxArlWDROaT7nNQK9RArnQPg5vD3zQDOVcpvF0J0CCHeArACwHQiOgDAYCHEHBG8gVuUa2oPg0JanWC2XVia63rM1d3QTqWcA9uW7MuyWKttcbGXgEisZNuVyHsb2JJ32s1y3IVurUTEL0onTxwBADho+ABMOTAZPsIVLjvj1FspE7To2bCWJCkcSHxc1YmVktfY65jel4sIVb/SZEWTZTzGvrTLWD1JPr57Zs14c2TNyifHqC7McjHO55K784QYT2urKAQbjjsaI1sMIEl4pE/RYCa/RlMu12vShAoADxPRS0Q0KywbLYTYAADhf8lfjwWgqunXhmVjw996eQJENIuI5hHRvM2bN3NVHAbM+zmolN324WZxXXf9QKQ3pO3aT04bz18czhMbG796a6TUHtjKcw7ynu1ipeA/F+SNr5+8f1kk+xk/jG9LLlpZnMU4qLoBE7FOXViZ07wpa3p70kfAJJbjrneZR2lVTAQmK+E5//hxOOXwpMisEm7HBaYYVrGopQY/kKJIV0hzKWSbGZ2Dnq9bfyelUrDpM9019w7/M7Ri1Ptauy3wuxg7NOmX05vShJ4shHg3gA8BuJSI3m+pyz03YSlPFgpxgxBimhBi2qhRSe9KFxijsjpzDu4vxrRbO12x7z505ED8+V9OTtRRZapnTBmNKz/Oy4xdOAcVeoRLiTJxsNA+ubhyylhX6M59d37hJEO9eH0dnOfsf31yaqJMNUk2vQ/VBp2DGj7DBjlW27oox2ObYzoRc1lo09R0xnt3ajv6/YUPHGYMdBdr1zKegZbQKEmOntM55NCu6P44T2uZCc7mIU0U5+LVGFS686kM0y+97PV30lksQRjGy93XtIOH4YRDhmNASx7/ePIhsXNSId+PeU55yrYGVYOqiIMQYn34fxOAPwOYDmBjKCpC+F8G0VkLQN3+jgOwPiwfx5TXBWVTVssktO2mMhEHQzNHjNmvLDb58DHJgGAAMFKJjT+otcn48cuYR67hP3RTWIly5jkHhXQ1u0J5ZWexhP7NeYwZwpv5Rn3x7fzraRMTZecel2Q4+7ekT3HVe5UfC6znJeRzcdlcPP36O8Y6NpEnh/sYo4fE2Axjcpk3bs59qc0odd25Jg76/OPFXCjn/Lbt5rlcH3p4DiBK7SrFrxP3j8K9fO7vDsGu9gLWbd9r/H70+xo5qBXjhw/A0u/PxImHjoidk46vnLVSPsfHfaoHKiYORDSQiPaTvwGcCeAVAPcCuCisdhGAe8Lf9wK4gIhaiegQBIrnuaHoqY2ITgytlC5Urqk5Is5BEysph2+9s9t4fRZ5n22iL387MIU1yfhzOSqHrh46oJmto9dPg0kZDSjiHqvOIfhvs9FXeb5hA5PjjjiHklVkJM+YFjXXtUh1rjMv/iFxMI4lOP/A4g2GGmG9DAppG+R4hvRvxsorz07lCkwhztXLTETWiStRfquOd/G+MlAHS1XdiZHnHNxEYcWSQKEojPMsR/FggWo4dv09XfO318rngDhHOqR/M/Z2FdFZKOH+RfwcSSiwLeuIDEHPBVwcOagFm9raE5ET6oFqkv2MBvDncFI0AfiDEOIhInoRwJ1EdDGA1QDOBwAhxBIiuhPAUgAFAJcKIeQdXgLgJgD9ATwY/tUFkc4hXq5Owg072o3Xt6eYsgZtheysZRLLdJuc3bOEnKDDB6SH33D5YKxWWGVFvUXcEV7vqgc4/uDhibJIIe34kVcpu25VPmKTWCjyc+AhH8nCteZ3BUQLsC2/hMuzk7TX1ZzX9F6bc7ly5FbTRsUlRLu6F+gs8vemj+GZFWbOyAadC+CG52S9lQt0DoVSyWgZliPCeuVbVy3/9E3b/z6/OuibGdAQl82bdpluDaWio8ylJPsaM6QfuooC7V1FYxSHWqFi4iCEeBNAItC8EGILgBmGa2YDmM2UzwNwVKVjyQKTzkF9edUybdIKwmVds3EXUuk2lMl/m6UdCVuVyF8ivY9qxErqQmPTk8h3YCQgYMdlVQAAEwFJREFUjjtVlVtK4xxc5cUm7NwbiPjetHCeLkjjZHQYlc15gnQZMPkVcMH4dCxTcm8cPILnUvQhrDA4iaZBF6Vwt+a0EaIgHHdXUaDZZDarvdiCQeegEukuhvOTeUhs0PuyhcB/IMwfwnEO8ttrhK9Dn/OQLj9Sbb7U0u9ONuWyK7NN9J1hXKVhDjsTl6XE7r8RwEUebBuz5My48Nh6+zaLHflBVs85RFPctBNPc4LTRZCm95EWcgFw9Y4P+rOFKJE2+YD5varvyUQcNu00c8kSkoM9//hxRoOGLKarenwwFS5ipWfDvAo2vLaxDW+9sxs79nZh/urtbB39sckNUlM+rnNQF/IuTaw2dfxQDFaIwzHj4kETJfS7kBsJDmu27g3Hkbz3MuftiUP9kDWJfaa2U3aiKmyLn3z/A1vSGTynvhxk4TYiKT8YNaaPCWmKZsCNWJnNT1OHACDurGf6nspiJce+TKa8TuK2cAy20OIukVvPOjoyZDCNWxWnmGIZbWNyK5tgI376PD43zCyYFTIAJAAcO34oTmE8zZdq4cE5vPp2xO2YRLf69yC5hSbNXFTlIg5S3v3yH87EXf98Usx6bwqT0pXra6+DzoDT7UmC3whfh75HHBweqm1HK3Hs+KRvgkS02KQPx4VFdpJTu4iVLOeEg1jp2RXBjm3uW1vNldLGoAzCdu/y23T1pDVBfXYmz/RUD2nt2ZrGLXd8Nsgx/MN7JxjryOZtin+X962O02R+fLCjzwpgNoMOxhM/PtWQDyUNKrc0+9yjWI6nVlkCdYdQNRy76tcgRTjnHT8Opyu5LFqb8mjK52LvyZiDXSvuKNiJw8hBLTGLKL19Lhd1rdHniIPJlFWFy079Gx88wnhOKq1dFWdp4GSPOlxkx1sMkUIB4O+PPRDHHzysHKG0XohHiLXoHBxiRql46Mt8iI39FX8IE+dwb5joftkGfkeqj2CAw/wwQe5NrOK78J5tYdFdiENzjHPg25p51JjUdiT++RTz3NDHU6mYtr+y8Js2RS7fgwt0Xxm5G9c5B/nbxO2pw7E53KkwWX1JcBwTEHHSaT43tUDfIw4GhbSKsUzGMFM7NjjZbDt95LVpx4ahA1rwp0vei3EGj+VaQf14qrGw0m/3XWN4dr4pn8P7Qycpk86hPWUXp/dl2rm66Yb4NlW46HZcXvfH3x35fZgD3bnPGzvnQNqxc7MxjFHC25vm9OQDkvHKdJj8h1QM0qIFSKlZkxYSvGBJ8AToPlJuS2oHQxx++w/Tyr9Nc0yOoRG+Dn2QOKTL1v9j5rvS23HJhuUiMnKq48A51ChcQbWQery0CKiAXVyWtsPOcrdfPHUiBrTkMdUgCvzO3x9pvV6fK6YP9x/ee0jqWNw2FcF/G2flMrcuVRwF+9dIFGOC/kw4sd8ZTHpRHfsp6TJN93j1J5Ke8Do+pyRxmsBEMwaSBDNuyqr4Pyi6CA4xsZJp3mvXfufvpyTqjBkcbUpNPknSNFlPy1oP9D3iEP63fVqm+EMqJhsUT7G+HFaCwQ5mcC5stCmgngqbnLtWkOyuiwWqzZT1/2/vTIOlKq4A/B0eT1keiyAgIAhRQB+LsigiuIQSAQlSVtASF1CSGKu0RCuVRJMYl6ilMTFxoaJUAlnVVHaMGjWLWkmMC4kbIKAWpRgTk6iIS4xo58fty7tvZvrenrl37tzhna9q6t3X09Nzpqfnnu5zus8Jg4+5lF41W/kOGz2ADVfMo7/jvIjPVsSoGKWpSEN8JuGh3F5mpSpyPlSiU/j4Pf1XNaU8c/lc1l8+N7ZO6QaESvKtOmNq4nt1TrpV+UP6/Gair13pSPlbqhyiW1nDqK8vv/Euj219zcrmOC/hZVbquP7WaVPK0u6WtuM6w/C23Tn1+Nba/X6+pDkE15S40oRGifvhrr98Lh+UJAR34WMX/Nw8t+8iJM6sFMaHcc2Ko1x2QvwMOQs+3NW/LnNQdAke0892ZvSsww+QZLOtBu8QEsbQs7XFmdkvbGafmMx/774f/LjjnKrh+IubFPjtTuu47lEhN4AvbR4Tj9KVSaXJk48JK+qQdk0MouUuX0r0RruXY1KwR0tnmee0B3b+aKa5I6/9/a4x7RonfqfMO+q4Y3x1lLtWeuGOsaz8LnF0PeVg/8btdon7sn1m6CEe2969nJtx5oWNV8zLxTnlyy5HcsozHiGVDh1Bx/I6C3zMdqGksSE/7Gc+cUrFoMIAvP1e4N+IW536vZfzqTJ5Sq9LWT5zNAfuk2zHjyP6XT531fzYMRvbTkvyDTLKHWcfXrE8+hse4lDW0UlXVOZoprno8PM5T+IiWsUnOrDLrBTuovLJxJiWrmdW8vBIp01R2RHhNN1N+7rFkxg7pK3TjptSerS2pNo9kzXRPA1J+GzRdf3wSg8jpaGarcI+N4I4Xb3i2DH03qOFcQ4HOnT0YdqVgy9fXtjOyYc6QsJ7ElWwtSqG0nbiHOAhk0dW3kHkc54malaKyty9m+yKwtpZtuSb+gKHI7xTnhdnOx3XTp/DzvxWDl1OOYTEm5XStR0eUIrbiujDSdNGcN+FR1e1WsmDON/FhwmO5Cg+YcZd7YweVDmMQy2EyiHuRHI4mYjP4Jb8Xh8dN5j1V8yLNdUkOUAhW+WQBb5RgZPw2Znng0//OEOKdAtCb5RO7lzfffRm71JW0e/bx1xWKVw3dJiV4vxRWdHllIPPVta0oTRCp1HcDeCu82dxxaL6+wDqwWcioRtKqWbl4Ip5E8X1Q1owMXmroi/hbLVSzt6QUIo4mUNTpc9Otji227ApcY7XgmxO20XaMCch1cyIK+VxCPHxA7j8Fa6siGnymERfWykXCfiZlU4/fD8OGtqXk13JvzKkWFPSHHBlgsuS82YfwMZX3uTQ0eVRSUPGD+vH+GGV47AUHZ8VkV8gwOpstdW+1pfwRjI95vvqCGmRvHJI6wIKQ7RPG+WWp57jt95MqZD5MMQ34u/mK+fHKgAfn1epQ3rXa3cFt+tsWnKtjkIl4toyC52/L58Q6y6f1LD+PblnRe051auhyymHPJgyci8evrhiYNrdgtYYc9AHHls1Q3zub3nkNenXs5VfnjuTsUPKwxWEhLKGodYrsfDgYax66AVOSWm/n33gYH56zozY+Etpdh81kqcvO84Z5wmgb49WuneTxF18SRMUn7Norja671IOfoMvND/Ffa4orm2qUWUX52fMiy6nHHzMSko88cEC4885RAmjzsYRtxNrxkcG8vALyRE6fUjaChw6At+JCTo4vH9P/nrJnNSyiEjsqgH8b0RFo0/CFvAerS1suWp+6pWRj1kpSTl8UBK/yCXT/oPaOGvmKJbOGFWdkCVEJ1SD2tzbofOiOacfKfCJrbS7cdOSyVy3eFLqduIyyYX4JA0KeSQmgF+462PJYeWHhUK+u/zQxPfIijzi59eL4yf6x08qAlmYzNJspW6xpsPSVaKryW7dhEsXjneai3yJbojo27Px8/bGS5Az8yfsw9ghbU0786qFhQfXFj65lPsuPIotr+6IrVPNyiGOladOYeWp8XXC77BPjy43jIEgp0P7sPiT+luvWZCTNHBc+xCml+RDbhQ+DvKkcwtzvvFQp/IJKX2EK0+dErsSjqYDLoJPqcv9qvYb2NuZzQrinZJdnREDejlzGYQM7B3YSn3OXlxw7JjUMj342WMSTRVZsuas/FYrSZw3O33/ZcmqpdOSK+WET2TlYf17cvWJEzlyzN6dyiudvr/6xImpt6a7zkCEFEEhRCmMchCRecANQAvwbWPMNXnLkLQDQknm2sWTOHrcICYMT449NX10+llmnKKvB+OGpDtJrORDeLo6afvpqdPdZsuQzVfOT60YfLntU9NzeR8fCqEcRKQFWAnMAbYBj4nIWmPMhjzlyGsA7M7069ka6yeAwI9w+6MvMrAtOTd20RjWPzmcu1IMbvvk9JpC0JfOD/O8Lxyx/97JlXKiEMoBOAx4zhjzAoCI3AEsAnJVDko+XLqwnYWThjJWZ+FKHTnigNputDP2L4bfpNEURTkMB16K/L8NKM76SsmUHq0tNf9wG8WtZ0xNfbhNaQ4OGNyHrdcs4B/b/9ulrQlFUQ6VDP1lP0URORs4G2DkyGRboaJkxdzxzbUdVElPaY6KrkZR1OI2IHqsdF/g76WVjDGrjDHTjDHTBg1yx1VRFEVR0lEU5fAYMEZERovIHsApwNoGy6QoitJlKYRZyRizU0TOA+4l2Mq62hizvsFiKYqidFkKoRwAjDF3A3c3Wg5FURSlOGYlRVEUpUCoclAURVHKUOWgKIqilKHKQVEURSlDTJMe+xSRHcAmx9MjgRcTmugHbC9QHZU5nzoqczLNKLfK7N/OOGNMcuwaY0xTPoDHY577l8frVxWsjsqsMjdc5maVW2X2byfu3hl97K5mpTc86txZsDoqcz51VOb82tK+zqdOVjJ3opnNSo8bYypmF4l7rqiozPmgMudHM8rdFWT2rd/MK4dVNT5XVFTmfFCZ86MZ5e4KMnvVb9qVg6IoilI/mnnloCiKotSJplAOIrJaRF4VkWciZQeLyMMi8rSI3CkifW35HiKyxpY/KSLHRF4z1ZY/JyI3Sh0zemco8wMisklEnrCPwXWUeYSI/EFENorIehFZYcsHiMj9IrLF/t0r8pqLbX9uEpG5kfJc+jpjmXPp62plFpGBtv5bInJzSVt5juks5S5qX88RkXW2T9eJyOxIW4Uc0wky197PPluaGv0AjgKmAM9Eyh4DjrbXy4Gv2OtzgTX2ejCwDuhm/38UmEGQXOgeYH4TyPwAMC2nfh4KTLHXfYDNQDvwVeAiW34RcK29bgeeBPYERgPPAy159nXGMufS1zXI3BuYBZwD3FzSVp5jOku5i9rXk4Fh9noC8HLefZ2xzDX3c12/mIw7bBSdb7Rv0uEzGQFssNcrgdMj9X5HkKN6KPBspHwJcGuRZU775WYg/6+AOQSHDYfasqHAJnt9MXBxpP699seTe1+nlbmRfZ0kc6TemURuso3s5zRyN0Nf23IB/kMwkSjsmHbJnLafm8Ks5OAZ4AR7fRIdmeSeBBaJSHcRGQ1Mtc8NJ8g4F7LNluVJtTKHrLFLwkvqaTaIIiKjCGYkjwBDjDGvANi/4dK0Uu7v4TSor1PKHJJrX3vK7KJhYzql3CFF7+uPA38zxrxHscd0lKjMITX1czMrh+XAuSKyjmDp9T9bvprgi3sc+CbwZ2Annnmq60y1MgOcZoyZCBxpH2fUW0gRaQN+BlxgjHkzrmqFMhNTXjcykBly7usqZHY2UaGs7mM6A7mh4H0tIuOBa4FPh0UVqhVlTIf1S2WGFP3ctMrBGPOsMeY4Y8xU4HYC2zHGmJ3GmAuNMYcYYxYB/YEtBDfffSNNVMxTXTCZMca8bP/uAG4jMJHVDRFpJRiQPzLG/NwW/1NEhtrnhwKv2nJX7u9c+zojmXPt6ypldpH7mM5I7kL3tYjsC/wCWGqMed4WF3lMu2RO1c9NqxxCr7uIdAO+BNxi/+8lIr3t9RxgpzFmg12G7RCRw+3SaimBLa+wMlsz0962vBX4GIFpql7yCfAdYKMx5vrIU2uBZfZ6GR39thY4RUT2tOawMcCjefZ1VjLn2dc1yFyRvMd0VnIXua9FpD9wF4Ff6k9h5SKPaZfMqfs5D4dKBg6Z24FXgPcJNPgngBUEXvzNwDV0OHpHEThuNgK/BfaLtDPNds7zwM3ha4oqM8Fuj3XAU8B64Abszpo6yTyLYKn8FPCEfRwPDCRwkm+xfwdEXvNF25+biOzeyKuvs5I5z76uUeatwGvAW3Y8tTdgTGcid5H7mmDS9nak7hPA4CKPaZfMaftZT0griqIoZTStWUlRFEWpH6ocFEVRlDJUOSiKoihlqHJQFEVRylDloCiKopShykFR6oCInCMiS6uoP0oiEXwVpdF0b7QAirK7ISLdjTG3NFoORUmDKgdFqYANePYbgoBnkwkOLi4FDgKuB9qAfwNnGmNeEZEHCGJizQTWikgf4C1jzNdE5BCC0/C9CA5QLTfGvC4iUwniar0D/DG/T6coyahZSVHcjANWGWMmEYRbPxe4CVhsgvhYq4GrIvX7G2OONsZ8vaSd7wOft+08DVxqy9cA5xtjZtTzQyhKLejKQVHcvGQ6YtX8EPgCQTKV+23k4xaCECkhPy5tQET6ESiNB23R94CfVCj/ATA/+4+gKLWhykFR3JTGltkBrI+Z6b9dRdtSoX1FKQxqVlIUNyNFJFQES4C/AIPCMhFptTH0nRhjtgOvi8iRtugM4EFjzBvAdhGZZctPy158RakdXTkoipuNwDIRuZUgEuZNBGlFb7Rmoe4EyZnWJ7SzDLhFRHoBLwBn2fKzgNUi8o5tV1EKg0ZlVZQK2N1KvzbGTGiwKIrSENSspCiKopShKwdFURSlDF05KIqiKGWoclAURVHKUOWgKIqilKHKQVEURSlDlYOiKIpShioHRVEUpYz/AzQf1mi1qE5YAAAAAElFTkSuQmCC\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'].plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Le même regard, sur une période plus récente :" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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xXjo7jw0dnqL9k5aCJy8gLZSDoDTOhYMiW9eNMA4CQYtxaiqOSzaEVvw5ObeSpRyEcRCUwulWUiRrDohPleGSiDAOAkGrcGE+tWLVAACXDXZg92AH+kMeq85BuJUEJUjrWRA2G0phDRsJIXa793ZCGAfBqiSS0hFLGxgIr9w4XLUxjAc/9jZ4FBluRbiVBKXRDBP9rBrfJeUen8I4CAQtwoV5q33BQKevpp/rcYmAtKA0mp5FT1CF6pKgOsbLhoRxEAhaAz7prRbKwYlQDoJypA0THpeM3oAbLjlfOYg6B4GgBbjAjMOGTk+FPZeGaJ8hKIemZ+FWJHQHVCgO5SDcSgJBi3BhIQXVJaHH76688xJwK6LxnqA0mm4ph/6QBz4115ou5HW1nXEQjfcEqxKeqSRJpPLOS8DtkpExsqCUgpDafrZgdUIpxUsj87h6OGwZB0XGf7tlJ5KZ3AwHq2230VbXjVAOglXJ6EJt0lgL4QVxIu6wdvnq06fwkyMT9v+fOzWLD/zj83j9QgRpIwu3S8LmHj8u3dBh79PhVWBmKRKZ9nFJCuMgWJWM1ck48A6t7Tj2UVAd3/zFCB548Zz9/5HZBABgJp5mMQd50THtWCUtjINg1aHpJqZjaWyoi3HgyqF9VoCCpZHUTTvhAcjNi46mDKR101aXTmzjkBTGQSBoGuMR62atdRorkGulIdxKa5dUxsSF+RQotcZ+jrGRoDFNh2aY9jXipB1nOgjjIFh1nJuzRoPWw63ER4tOx9M1/2xB65PNUqSNLBIZE9GUFXCeYIuRSEqHblJbXTpZk24lQsg/EUKmCCGHHds+Rwi5QAh5hX29y/HepwkhJwkhxwkhtzi27yGEvM7e+xJhIX1CiJsQ8l22/QVCyHBtf0RBu3FwZA6yRLBrYOVN9wrZt7kLEgGeOj5d889uJSil+MmRCZhZ2uxTaSlSjhqX0QVrEcKV6nTMWjAUUw7tOPCnGuXwTQC3Ftl+H6X0Cvb1MAAQQi4BcCeAS9kxXyaE8N/kVwDcDWA7++Kf+REA85TSbQDuA/D5Zf4sgjXC86dnsWugA0FP7ef1dvlV7NkUxuPHJmv+2a3EoXML+L1vH8TP2vznXCpO48BdS7wan6tJTxHl0M3qbdpJcVY0DpTSpwHMVfl5twF4gFKappSeAXASwD5CyHoAIUrp89Ry5H0LwO2OY+5nr78P4CbSLonCgpqTyph45fwC9m9Z2YCfctx0cT+OjEXth0I7Ms786Cen4k0+k9Yi5UhFHVtIYSGp2/EnrhyKZSt5VRkhj8vepx1YSczhY4SQ15jbiQ/xHQBw3rHPKNs2wF4Xbs87hlJqAIgA6C72DQkhdxNCDhBCDkxPt7fsFxTn0Ll56CbF/i1FL5Ga8M6L+wAAj78xVbfv0WymotZD7JQwDnnkKYeFlB2MBoCZeAYAimYrAUBfyIPJqFbfE2wgyzUOXwGwFcAVAMYBfJFtL7bip2W2lztm8UZKv0op3Usp3dvb27u0Mxa0Bc+fmoUsEVy9wtGg5djaG8Bg2IvnT83U7Xs0mym2wj01LYyDE6dyuLCQstNYA+6cKuBjZQvpD7mFcaCUTlJKTUppFsDXAOxjb40CGHLsOghgjG0fLLI97xhCiAtAB6p3YwnWGC+OzGHXQIedVVQPCCHoDboR04zKO69SpmLWQ+z0dMJO2RQASWYcVJeECwua7X7b0R9APG1dD8UC0gDQH/RgMlrerfTDQ6M4Mhap4RnXj2UZBxZD4LwPAM9kegjAnSwDaTOswPOLlNJxADFCyH4WT/gwgAcdx9zFXr8fwBNUXK2CEkxFNWzqqu0Mh2K4XVJbV0nzVXAsbbSVn3yl8FkeW3r8uDCfwnhEg0si2NwTsPcplsoKAL0hN6Zj6bLG9rMPHsE3fzFS03OuFxWXX4SQfwVwI4AeQsgogM8CuJEQcgUs988IgN8DAErpEULI9wAcBWAAuIdSynXaR2FlPnkBPMK+AOAbAL5NCDkJSzHcWYsfTNCeRDUDIW/9+0V6FBnziUzdv0+zmIqmEXS7EEsbODkdR1+otq3PVytcOWztC+CNiXGMzCbQH/Kg05fLjCsWkAYs5ZAxs1hI6gj71UXvm1mKWNrAjCOjiVKK83MpbOyu/4JnqVS8yyilHyyy+Rtl9r8XwL1Fth8AsKvIdg3AHZXOQyCglCKa0u2c8nridrX30J+pmIZ9m7vw+BtTODWdwLVbe5p9Si0BD0hv77OUws+OTuHywQ4EPblHZamAdD8zsJMxrahxiDM3pTPd9Zk3Z3DXP7+Ipz/1dgw1QBEvBVEhLagbR8eiNfVnp3QTRpYiVIf6hkLcbTwuNGNkMZ/UcdlgB3yqjNMiKG3DjcOv7d6Ae96+FW/Z2o337xnMq6lxlwlIA7lMsEKimlUg53TjXVhIgdLWrI8QxkFQF558Ywrv+tIzS640zhhZnGftMQrhrQlCQjmsCP4g6gt6sKXXj1PTiSafUeuQYjMa+kIefOqWi3D/f9mHO/dtrEo59AWZciiRscSNw2w8gyyrTI+xbakWbPUtjIOgLtz//AgAq5q5GN/+5Vl88Ku/XLT93w6ex833/RyJ9OJMId7rphHKwaPI7WscYtw4uLGxy4fR+eLGeC2Sylh/c29BXCGUZxyKK4c+rhxKBPj59WtkKRbYQodnxBW73puNMA6CmnN2NoGfn7AUw0sjuazkwxcieOyo1a7h6FgEh87NLzp2Mmr1zC+2+uIrr0YEpK1spdZbzdWCKfa77Qu50elT26of0EpJ6gZUlwS5YMKgc0FSyjh4FBkdXqWicgBgB6W5cUgK5SBYC3znhXOQCMH7rhzA4QsR23f/mQcP43MPHQFgDWpPG1lbXnO4rC+2+uIPsYbEHNp4lvRULOdW6vQqWEjqotaBoWXMRaoBQEHMofRjsy/otmMOUzENTx3PVdk7jTBXb9xgCOOwBkhlTHzh0Tdw+MLqKHSpB788M4erh8N4z+XroZsUr55fwOh8Ei+fW7ADfnyYTqpgdc7HLBY1DlojYw4yzCyFYbafgZiKpUEI0BNQ0elTYNR4vGUyY+CLPz2+KgcmpXQTPrWYcbDUqiwRKHLpx2Z/yINJVmD4v395Dr9z/wG7823UUVRp15nYykG4ldqa2Xgad37tl/jyU6fwf16+0OzTaRqz8TTWd3ixZ5PVcuvA2Xk8/Po4gFyRkcYKzApXTDwwN1XMrWTHHBpR59C+s6SnYxq6/SpcsoROr5VyuZCsXU3HC2fm8PdPnMRro6tvgZQsqRysa65YR1YnfaGccogkMzCy1F4AOZVDzq3Uusqh/nfZGuIbz57BkQsR+FUZc21cQFUOSilm4mm2KlWxoz+AH782bruPNN0EpdQ2EoVZGnwF5Uz3++GhUQyGfTm3UoOUA2AZB9aNuW2YiqbRyzJrOlhx10JSx2C43FHVwyvL9RYyrCenYnhjIob3XL6h7H6aXnzSG3crlSqA43T7VcwmrGs3nrau7WTaQMDtQlTTEXC7kDGzi5RDQiiH9ub4RAzb+gLY2hfA7Bo1DsmMCU3PojtgPVF/97otODMTx/HJGLr8KrIU0M2ccUjqxqLjgXy30ucffQNfe+Y0opoOnyqXlfW1op1nSc8lM+hmRVqddZhglmGuuHQLueS+/swZfPqHr1fcL5kp7lZSXRI8ilRROQQ9CjQ9C93MIp62fqfcZRfTDIQ8LvQG3HY6se1WSrfedSaUQw05NR3HpRs6kMgYmI2vTePA5XIPMw537B3COy7qw+NvTGEyouGLj52AZpi2u6ZQTueMQ86tFEnpGFtIocunNiQYDVgBaSDn/monoikdGzqsEaudPu5WqqFxMFpPOVxYSFXVKyulmyWbOgY9SslMJQ4/NpE2kGAPfJ6mGk3pCHkVuBXZoRxa160klEONSBsmzs0lsbUvgC6/umbdSrznfXcg1z6gO+DGB/YOoZOtVjXdzMUeCm4KfiNxv23asJTI2EIKkZTekDRWINeWuR2VQySV60/FewYtpGp3vdrGwWydDKjxiIaMuTg7rpBUiZgDYMUd1ArKIcBiEzHNsLu48gd/VNMR8ijoDah2gz4RkF4DjMwkkaXA1l5/nt9xrcGVQ29gsaOeS/K0ni0dkNbz3Urc3TGf1DER1RquHNqxM2tU0+24De9TVVvlYP0N9RZxK1FKMc6m+mUqnFNKN+Et4lYCqlMOQaYc4umcceDxhCgzyr1BN2biGWh6FgYzVkI5tDF8aMrW3gC6/G5oerYlVwP1hrvTeooZB3Zjabppr8iTenG3UiSlQ9PNvAyPE5OxhgSjgfyAdDuh6SYyRtY2sh5FhkeRapqtxB/AlR7EjSKWNmy/f6W/Z6pEzAEA3nlRH27YUX7IGA9cxzTDVsE8npBTDm7MJdJ5aq0VnxXCONQIPm5xa2/ADvatxbgDVw5dRbpS5oxD1l6RpwpuimTasNMGp2PpvEBpMmM2JI0VyAWk2635XrFakbBPrVo5TMU0/Ojl0bL7cLdSpkUMK5/mBlR2E6YyxbOVAOAPbtqOP7p5R9njuVspntbtLqyFMYeeoBtZankbOIkWDEgL41AjTk7HMdDphVeV7QfjWow7zMbT6PAqRX2zvHZAM0xoXDk45DSlFEndxHC3H4DlWirMommUcuAPiHZTDrkq85yR7fAqdq+fSnzuoSP4o+++mjeToJBczKE1fnfOOdCV3IQpvXTMoRp4QDqmGbY7KZExkGWzHEIel50McHwiCsByRRUWg7YCwjjUiFPTcWxlPeC7AmvXOMzEM3nBaCf8gZtIG3aw0mkc0kYWlALDPZZxmI5pi41Do2IObZrKGmGFhM6ZGJ0+BZEqlMPxiRgefn0CAHCuROdcIJfC2irGYSLiVA6lz0k3rRhAKbdSNXCjOxVNg8e+kxkTiYwBSi23E5/bcHTcMg79HR7ReK9d0XQTp6cT2NZrGQfbrbQGjcN0PF003gDkMoCcD3yn24bfIMNsKtZkNG0/tPgN26hsJTvm0GYB6WJupU6vWlW20t8/8SZ4P7pSbdWB1stW4sFooLSr69R03DYilYLO5eBupXGHQUqkDbt1RsjrwmDYUg7cOKwLeUTL7nZE003c/e2DSGZMXL/DmqaVcyvVN2MpktJbrvfPLKuOLgZ3KxXGEQpfD4a9kCWCqZhmr3R39AcBNFA5OFxg7USx5oWdPqVizCGeNvDw6+P44L6NAIDR+VTJfVst5jAWqRxz+M2vvWA3hfSpy1+AeBUZEsmf6ZDMmHm/d7/bhW6/ihMTVpyyL+RmyqI1jClHGIcKnJ9L4vLP/QTv+Nun8LWnTy96/ytPncIzb07jC79xOW7c2QfA8juqslRX5UApxU1ffArffG6kbt9jOczEM6WVA1uROV0YxYyD3+1CX9CNiYgVc/CrMjYxNdGIEaGAo86h3ZSD3YLEEXPwWTGHcg+nV88vIEuBX7l0HXoCalXKoVWylSq5lSilmI6n7dkjXnX5j0VCCAJuF8YdcY5E2ljU+mWwy2f/ftaFPMjS1otvCeNQgdcvRBDVDEQ1veiD+PxcEgOdXnzg6iF7GyHEKoSrY7ZSImNiJp7B2dnWGdSSMbKIpPSSxoGvxp3BT2e2Ek/n86subOj0YjxiFb51eBVs6LSkeMNSWdu08Z7t3vDku5UyRrZsNfjBs9bsjSuGOjHU5Ssbc+APvVapkB6LpLCOzXcu9vfU9CzMLLUXJ15lZa7LoEfJM0jJjLno9z7EXEuEAL1Bt71fKyGMQwX4Cuk9l2/AeCS1KMgW1Yy8Xu+cLr9aV+XAVyLVZpk0Ah6ArxSQXiihHLjf1avK2NDpdVRFO4xDg9xKqtyeAeloSofbJeX51aupkj50bh47+gPo8CoYCvtwvsz0uFbKVrIK4DRbeRZzdcXS+fdQqSK4agl6XHYRp0siSGSMRYqNB6UDqiuv5UYrIYxDBc7PJ9HhVXDJ+hCyND9nGrACfMEiuffdgfoaB+63r2Xx0kop7KtUSC4gnTtnZwofL1SylIMHYxENkVQGHV4FN+7oxa/uWodtLCOs3kgSgSpLbddbiRtbJ50VqqSzWYpDZ+dx1UarbetQlxdjC1rJeFfOrdR8H3o0ZSDlSI8uZuzjWv5DeSXZSoB31BlBAAAgAElEQVTlVuaVz71BN5Jp004E4AvJjcw4BD0uO8YhlMMq4/xcCkNdXgx2WSvXwhWT1WmxuHIoFpA+fCGCG/7mScyv0HDwlUgtu2muhMmohs8/+gYA2NkYhSgygURy5yxLJC9Lg7uVvKqMgU4vMkYWp6cTCHmt9L+v/NaeFa/qloJbkdpPOWj6okJCZ9vuYpyeiSOqGbiKzecYCvtgZikeOzqJu791YNFqPNNCqaz8odzP5jsXiyHFCozDSuocAOQtFvtCHsTTViNOieRiZkNhbhwU+NzW92u1KmlhHCpwfi6JjV0++49ZGIiLFbnZAJSMObx8fgFnZ5M4MRlb0XnllENrGIdPfu9VvDQyh7+87VJcuqGj6D6EEHgUGfPsnDu9SomAtGwXCs0mMg0LQhfidsntF3NIGYt+n5UG/hw6uwAADuVg3Quf/tHr+OnRyUXxh3QLZSvxVGmulor9PXkPpPUdVlxiJamsABBwLBb7gm4kMwamYhp6Am57NvUQW2wGPS74hXJYfWSzFKPzKQyFfVjf4YEskUXKIVpEpgOWayWRMTG2kJ/yN8tcL5OxNAwzix+/NoZ//PkpHDo3v6Rz4wGuVnErnZtL4tZL1+FDbxkuu59HkW2DFvareW4lfnP4FBfWd3rs7c0zDlL7ZStpi69XO/W6xLV0cjoO1SVhCytO5Asl/ncsLPZspZgDv754a/JMESXIlcONO3tByMqvNx5DkNgo1kTGxFQsjb5Qzt26odMLiXC3ElcOwjisGqZiaWTMLAa7fHDJEjZ0enB+Lvewp5Qi7ugF5OTXdm+AR5Hw/zx4JC9FkPvlJyManjk5g49952X8z0fewBeYS6ZauFspljbsGbXNJKbpRQPzhXhckh1zCPuUPCmdKnArcZpmHBSp7eocIil9kRu0q0IvsLmENRxIYqve9Z0eSMQKtvL3nbSSceAP3M4qlMPvXLcF3//9a+3soeXCnwd+t6UKkmkDU9E0+oK5BY8iSxju9qMv6HEYB+FWWjVwlcDTzgqzNBIZE1mKosZhqMuHP3rnDvzs2CR+cmTS3s5vwImohrMzCQDAReuCSC1xhcrdSpTmBoY0C96XvtjvoRCPItuVs2GfmrdaSmRMKDKB6pLQ4VXsm6ZZxsHjkttPORSZiaG6JIQ8LlvVFjKXyOQ1UlRkCb+1fxP+5NaL7Ped5LqyNn/RklMOpY0Dv3/CPtWee74SeNvuoNsFn9uFpG5iKqahr8Do/PNvX40/vnWnHZButeZ7wjiUgccXuI91KOzLUw7Fqk2dfORtm9HtV/H4sZxxsJVDVMP5+RQ8ioTBsA/pJTbeijoMQrPjDrwvfTXKwTmDt8uvIpUxMTqfxH+8Np43aIUQYqevNlM5tFNAmlKKqLY45gBYbtBS2XWFxgEA/uK2XfjwtZvY+/lGpZUmwfFhUgGPC7JEymYrlZoAt1QCecpBBqVWcWihItnU7Ud3wC0C0qsRbgi4i2Ooy4uZeNr+I3JfZamHokuWsL7TY8+LBXLKYTKqYXQ+icGwD25FWnI1qTNLqdm1DnzlFahKOeQuubBfhZGl+OrTp3HPdw5hMqrB77hBm24cXFJbBaSTGRNmlpbMrivlVppPLjYOgBWwD7hdi4xKK1VIc+XgVWS4XVLRIHk8bcDtkipOeasWbmT8TDlwCpUDx6eImMOq4/x8Ev0ht529wBUE7yuTy10u/VDsC3rskZcAbEMxGU2zYLd3WYHPaCq3ymh2UDpX/VmFcXDllEOYSf2jY1YDslfOL+Slqg6woHSjqqILcbvkJSu6ViZS0MLBiVWXk0ZM07H3rx7Dk8en7Pfm4hmEfcULG4uNxG2lVNZC41DUrVQibrhc+GdZmUi567nXEXNw4pItwySMwypibCGFQZaZAcB+zd1NsSIdLgvpC7rtasm0YSKmGZCIFXM4P8eUg2vpyiGq5dpUNLvWIVaFkeRw5eCSCAJu6/d2jHWnHI9odlofADudtWkxB6W9lIPdkbWIcugOuDEbz+D0dAIz8QwOjMwBsFRALG0UVQ6Apf5KBaRbIZWV19F4VJkZ++J1DtW4RKuFf5ZfdeU18XNmKxXiV2XhVlpNRDXdznIAcrKQy++cW6mccnBjNmGlrfLjtvQGkDGyiGoGhrq8cLvkJd9I0ZRutwRovnEo715zwlWYR5HtgHPCsWJyKof9W7tx8fpQXuZSI2m3OodokVkOnG6/ivlkBmfZwodPKZtnqrSUcehuceWgOZSD6ioeQ4pres3iDUDOrRTwuOB3567nUm4lwOoEu+oC0oSQfyKETBFCDju2dRFCHiOEvMn+DTve+zQh5CQh5Dgh5BbH9j2EkNfZe18ihBC23U0I+S7b/gIhZLi2P+LyiWtGnh+dV5Lyh3GlgDQA9IY8oNQq5uLGYdeGkP3+YNhX8qItRzSl21lUzQ5IV2MkOV7bOEhFi42crQuuHu7CIx+/rqFV0U4sd19r3bArIc56CDkfWJxuv4osBY5ciAAARmatTDr+4C9lHArdSpTSlprnkMyYcEkEiiyVVOjxtFFb48Dug4A7XzmUS5H1qTJS+upTDt8EcGvBtj8F8DildDuAx9n/QQi5BMCdAC5lx3yZEMKvxK8AuBvAdvbFP/MjAOYppdsA3Afg88v9YWpN4UUTdFsZD7xBWbRK5QBY85B5ppKzgniQxRwyRnZJ/dwjKR1dfjcCblcLGIf8vjHl4NlKbpecZwh2snkN/hX00q81Vp1D81e/tYK7VIoZ5W7monzlvFUNfXY2CUqp3ealVMyhmzWY5Neu0yC0hFvJMfbTrRSP7cUKFoErJVfnINuGuNOn2AOkitEbdONCmRkZzaCicaCUPg1grmDzbQDuZ6/vB3C7Y/sDlNI0pfQMgJMA9hFC1gMIUUqfp9ZV9K2CY/hnfR/ATVxVNJtC40AIQcjjspVDTDOgysVXwBy+WpiKaQ7jkFMOQ2EfVFlClsJu1lUJw8wikTHR4VXY/N/mBqSXohx4zMGtSHnG4ZZd6wCsvCNmLfG0WUCaF/QVNw7Ww/91phziacNSuxU67Xb5rXbf3DXoXJm3iluJX1Ol3ITV1uhUS8ijwK/KWN/htRc75VxKAHD5YCeOjkdbKnV6uTGHfkrpOACwf/vY9gEA5x37jbJtA+x14fa8YyilBoAIgO5i35QQcjch5AAh5MD09PQyT706dNPqb18oNzt9qr1St1oRlL+o+EUxFU1jhrmVLmHGwa/K1oqCPTCrXWnFHCMHq53/W09img5CrPbDlbBjDi7Zvmn9qozrtvfYr1sFd5sFpDVbOSy+7bv9uZkC/Jo/O5uwYw6llEOYt95g1za/hiXSIqmsmZxxUOUSMYe0YReu1QKPIuNnn7wB/+nqIXsB1FciU4lzxVAHdJPamXutQK0D0sVW/LTM9nLHLN5I6VcppXsppXt7e3uXeYrVwXurF8rNDq+SpxwquVJyyiGN2XgaXkVGp09F2Gd1GiWEOGYHVHcz8e+fUw75xuHIWGRRT6d6EtUMBFSX3V6hHDyV1aNItj92uMePnesst5KvhjfpSnG7ZBhZ2nKjWJcLD84Wc284lcH+LV0ArKA0j5PxtONFx9nz0i1VzI2D3+1qCeVQ6FYqXIDxFji1dCsBwPoOLxRZsut2KrXk2D3UCcCauNcqLNc4TDJXEdi/PCl6FMCQY79BAGNs+2CR7XnHEEJcADqw2I3VcPjq3O8uZxyKd2R14nZZ6mAqpmE2kbFvwq29AWxnfnaV3azVKgdnSqI1/zfnVjKzFB/6xov44k9PVPVZtWApspyvWp3ZSsM9foQ8Cr54x27cefVQucMbipsVRbXCCrgSGSNbdnQnkFt8FFMOYZ8K7szdv6UbskQwwpRDh1eBSy7+qOCBaq4w+DUcdLtaIiCd0rO2Wi1W58CnwNUyldWJ22W5T0u1seesC3nQF3Tj1dFIXc5jOSzXODwE4C72+i4ADzq238kykDbDCjy/yFxPMULIfhZP+HDBMfyz3g/gCdoCk7YTLOe4UG46h7FHU9U1m+sLuplbKW3XJvzjh/bgr27fBSD3EKrW32grB5+CDq+KiKMg7uhYFHOJTNFZEvWi2qZ7APJuVNs4sJTc39gziE1sKEsrwM91NQz8+beD53HzfT/Pm49RCFcOniLKQZaI7Tra3OPHQKcXI7PJoq0znHB3FFcYGTM3B9zM0qY3hdQcLVkKYw7/8do4jk1YbpxaZis5IYTg337/Lfid67ZU3O+KoU47IaAVqCaV9V8BPA9gJyFklBDyEQB/DeBmQsibAG5m/wel9AiA7wE4CuBRAPdQSvnV+lEAX4cVpD4F4BG2/RsAugkhJwH8V7DMp2Zj91up6FaqfFH1Bt2YjqcxHUujhymH7oDbzjfnZftVK4dUbh5tp09BJJXLFnn25AyA2tc+/PTIBN7+t08VNWDLVQ5Bj4I/f/fFuPPqjTU911qxVKPdTCYiGjQ9a6/gi6HpWaiyVNL9x11Eg2EfNnX7cHY2UdE4hP3WNczTWdMOtxLQ/KB0UjccAelcarKZpfjDB17GX/74KIDqkimWy6UbOqoq5Nw91IkzMwk7caXZVJOt9EFK6XpKqUIpHaSUfoNSOkspvYlSup39O+fY/15K6VZK6U5K6SOO7QcopbvYex/j6oBSqlFK76CUbqOU7qOUnq7Pj7o0YunibqVOr4KopiObpWyqVjXKwYMTEzGcmIxhB3MlOck9hJboVvK60OlVoJvUbjv83KkZtk9tc6aPT8RwZiaBs7OLXRexdPFRqcVwFsEBVptk3pak1eCJAquhMyt3g0bLdOjVdNP+mYrBXZ6DYS+29gZwYjKGs7PJksFowFpxq7JkGwe+wOEr8Wa75JzNHFVHnUMkpcPMUrx8zlqp10s5LIW3besBIcCv3Pc0Hj080ezTERXSpeAB6UK3UsirsDbZRtUr5r6gNfgn6FFw9/WL5aW6ROPgDEhzN9VsPANNN/HiGctOR2usHHga5BnWZtzJUtoPuB0B6VaHn+tqyFjiiwNnz61C0oZZNte+O+BG2KfA73bhN6/ZiIyRxYWFlK0oikEIsZr2FRgHnt/f7M6smp7NT2Vlhr5QYdUr5rAUdg914gcfvRZBjwtffupks09HGIdSlHIr8YlSM4k0khmzqqZwPFPhE+/cbh/vxL3EgHRM0yFLBF5FRg/77Jl4GofOziNtZLG9L1BztxL3u484jIOmW10+l+NWKveQahX4uWqroNaBFyKWWxSk9WxZo/z712/F/3jfZQCA7f1B/CeWHBAuYxwAoCeo2q4QvjLnfbOarhwKi+DYPVZYONoKygGwRrHu2Rgu2SG3kbTGb6QFiZdwK3HfIe/MWs1D8V2XrUdMM/Bb+zcVfV9dom87kTbhU2UQQuwYxkw8bZ/TDTt68fVnz0DTzRXPw+XwByRvqzAV0/C+//Uc3nFR3/IC0qtAOfAHXOEA+lbEVg7l3EpG+evhssEOXDaYq97/xDt34NHDE9jRHyj7vfuCHkxENABOtxJXDs0NSDvrHHj7jGyW2hl+LomwWSSt8ygs1um2GbT+HdokbOOgLs5WAnKdRCsVtwDWXII/unkHlBLpgO4lBqRTGdPO9OkN5NpzTEQ0eBTJbshXy4caX3GdmUkgbZj4vW8fxIWFFB49MgHdrP7mchbBtTrdDsPb6nClW045aBWUQyH9IQ9e/O/vxK9fNVh2P2fn4UxBQLoZyiGVMfFH330F5+eSSDkWSKojNXmeKYe3seLLljIOAWu2ernMs0bQOr+RFiOuGfCrMuSCzA7epfUl5tuvtKqqhqUGpJO6aReQdfmt/PTpeAYTUQ3rO7y2qyuS0lc8D5djK4eZJP71hXN4+dwCbtjRi5+fsCrVq5nlAORnK7U6PJ6zGoxDLiBdekGg6eaSjXKpBY0TZ+dhbgyama104OwcfvTyBewasFSQM5UVsO4zrhw+dctOvG1bT1F3b7NwFhYOqs1L1hDKoQTxtLHIpQTk3EoHzs5DkQmGe1ael7/UmEMqY9gXvEuW0OWzfL4TEQ39IbdtHMq5GJYKjzlMRDX86OUL2NkfxJ+962L7/ardSq6cxG91Qh4XFJmUHJ/ZSsTS1SiH8tlKy6U36AalVjpruiBbqRnG4QhrQXGWuUC9dpwr575dSOqQCHDxulDFGoRGU1g70ixa/w5tErESJfXOVfnmHn9VK6tKLDVbKZkx89ou9wTcmImlMR5hyoE9qGuZseSMh7w6GsEtl/Zje1/AzoGvVpaHfSrcLgnrOyq745oNIQTdfut32+rEq0hlTRvZurjz+ISzqVh6sVupCdlK3DiMsLRrZ8wBsALz88kMOn1qVS1fGk0Xc2c2O+4gjEMJEiWacXkU2XaNbC9Ss7AcckVwVQakMya8jlhIT1DFdDyNqZiG/pDHVje1zFjSdDPPANyyax0kieCazVYfnmqVQ4dPwbN/8g7ccum6mp1bPekJqi2vHAwza4/DLJfKWssEBSd8wtlUTGuJOocjY1YLinNcObB7xRlzWEjqdvyw1ci5lYRxaEniWnG3EgB0eq0/3o6+2hiHpcYcUhnDHkoOWMrhzck4dJNifYfH7hRby0I4Tc/iItYcbzDsxSXrrc6y+7dYDXSXcqP1Bt0tuWIrRrff3TIxh39/dayoMuDJE4ClHC4spPD5R99Y1LpC07N1cSs5Z5bkUlm5W6mx2UrJjGHX4vDsvUUxB6YcyhX3NROuxhvZAqcYwjiUoNx0KL4yr0UwGlh6+4ykI1sJsIwDf0D0hzx1cyv1BNy4aF0Qd+wZAh+58YG9Q/jiHbuxva82v4tWo4fNVm42ExENf/CvL+MHB0cXvefMSotqOh5+bRxfeeoUjk/E8vZLV0hlXS48cD8VTZcsgktlTLsWo54cG4+BUmv1zeejeAvSp3nMobNJs8krwavOhXJoUcq18eXjQmvlVnJJZEn9752520B+O+D1HR542LzcWhoHjXW3fOTj1+EPb9pmb/eqMn5jzyBaZD5TzekJWMH+ZveC5BW9o0WmhfGFgdslIZoycIG1az85Hc/bL61n65II4FFkdHgVO+YgkZyfnwekP/fQEdz9rYM1/96FHGUupRt25lr6e9XCgLSVrdRKGUpOeNX5nAhItyaVlIMiE7ueYKUQQtgc6eUrB846FujtYD2gaoWmm3C7JBBC2tYQFKM7oCJtZDGbyODvfnq8aYOVuKEvNkqSK4eBTi+imm7P8jg5lW8cKhXBrQSr1kFDxsxCdUl2ogZf8IxFUhiP1H/GyOELUXT6FFzJ5iMA+Z2AAUuhzyf1kjMqWoHuQPML4USdQxEopYhrpY3D27b1IORRapKpxHG75KrcStkstVoCOAPSLLtBlohtKJzjTGtBvYKZrQ7/ff7w0Ci+9MRJuGQJf3jT9oafB48fjRV5wMbT1t95Q6cXI7MJW12cchgHM0uhm7RuxYd9ITemY2ms7/BClSV7gFXG4VZK1bkNSdow8dixSbxlS7edQQUsjjlENR0p3WzZgDSAvH5VzUIohyKkjSyMLC3pVrrr2mF88QO7a/o9LeVQ+ebhN1gx5dAfdNtFeyGvUjZzZaloRn2Cma1ON/vdPvGGNc/qX18815TJcFw5FJvw51QOWQqcYu4kp3KwZznU6W/YG7CqpNNGFqpLtuNoPCDdiIrfRw9PYC6RwQf3bUR/KKemC1NZJ6NWoLdV3UqAFTOZFQHp1iNeoiNrPSk2pQoAIkkd1/yPn+FpVomcZDeYv0jMod9RO1BLt1I2S5GpU458q8PTCg+MWEWP4xENTx2v7/zyYnAVOMO67zrh1+sAmzZmPaAlnJlJ2IYsZxzqpRw8dszB7XAr8ZhDKmPWfWjSd144h41dPrxtWw/6Qrl7wadY9zFXDpNRqw9Uq2YrAUCX3y1iDq1IvMSI0HpSKubw0sgcJqNpHBix2nXw1ZfTrcRbaDgLy0IepWZupdx4ybVnHLjhNbIUt10xgL6gGw+8dK7h5+E09IXqgSuHDZ25UZT7hruQMbM4z1xM/G9Yr8r0vqAbGSOLmXiaxRwsBWsbB91ExszWTXWNzCTwwpk53LlvCJJE7J5jAOBhAWnVVg7cOLSuW6k7oCKRMZvaEVgYhyLwlVgj2/iWijkcOjcPADjL5gMndevcnG4lRZawoy+ISzfkOmqGvC5EUzoefOUCnn1zZkXnxt1dq2EGQ61xTkG7amMYezaF7crbRuJ0EV4oMA5xzYBEkOdKuWGHla3DXUv1Vg79bKV+cioOVc4pB26UuDu0XnGH50/PAgBuZcWVqktCl1+FRGDHP7hh5B1kO1rZOPibXyW99u72KrCNQwM7NZZSDgfPWsbhHDcOtnLIv8kf/vh1+L9v3Gr/n48z/dS/vYZ/fPrUis6NuwNWwwyGWqPIkh243D3UAa8iN2U1F2UzPIDFyoFn1jlHUV6/yDhw9VefW37/lm5IxDJcqisXkHa6lYD6GYcDI/Po9qvY7Oh11hd0w6vIdnadV5UhEeANVv/R2m4lYRxaEj4IpJoRoLXC7ZIWtc/QzSxeHbXGGJ5nxoHfZL6CFaAs5aeYhjwKspS3J17ZBVbvYGar0+23+kHt6A/C3SzjkNIx3O0DIcCFBS3/PTZPg1+vskSwtdePvqAbp1lwmk/yc9dJOfQG3Xa1vOqy5lS7JALdzMLMUnvho2Xq41Y6eHYOV20K590DfSFP3iLKo8j45K/stN2trWwceLv4ZmYsiVTWIkyzdgl9NWp3XQ1ul2SPJuUcG49C07O4dEMIR8aiiKcNex+fWv5P55xQN59YWexBM+rrkmh1Nnb50Bf0QJElphyakK2k6ej2u5FIm4tqHeJsEh//m68LeeCSJazr8NhzFmwDX0f1957LN+C5U7O2alBkCbpJ84xpPZTDdCyNkdkkPrhvY972i9cFFxWC3vP2bQh5XPjFydlF6ruV4JlU88I4NB9NN/Ho4QncdsUGzMTSICTf31xvVFnCXIFb6RBzKb3vygEcGYvaw0uAxW6lQnb0B9DhVXDVxk788vTcis6t3i6JVudv78ilLXsUqe75+sWIpgxs6PRgIOwt6VbijREHWGC6J2AVpgGOgHQd/4a37lqHzzx42A78KjJBxsjm/b6SmdpP1eOu173D4bztn7plJ8wile0fesswPvSW4ZqfRy3hqmalqn8lrM27vQj/8do4PvHdV3BsPIbpeBpdPhWuGha5VcKtSIsC0ofHougNunHNZkuun5tL5lJZ3eWNw55NXXj5Mzdj73DXinPMG7HqbGW6A2673sGryKygrL7q4cevjeHrz5y2/x/VdIQ8CjZ0ehcFpGOa1epFkSX4VBkbOq3gcLdftftCpRvwN+zyq/gvbx22g+EqG8vpvPbqYVgPnp2D6pLs4T4clyyt2jhZh1cBIbAn1jUDoRwYfDV2YSGFmVg6ryVFI1DlxQHpuUQG/SE3NnZZbTrOzSbtbqY8d7sckkRs9TOfzMCreiscUZzcqnN13mi1hLvWNN2saYV8Id96/ixeGpnDDTt6sb3fco+EvAp6g278+6tjGJ1PYjBsXRfxtGEPnbrn7dvs1hHdrGkgpbRh6u+/v/sS+7UiS9ALlEM94jWvjkZw6YbQqjUExZAlgg6vYk+sawZCOTDGWHrbeCSF6Xi6ZuM1q6VYKutCMoMOr4IOn4IOr4Jzc0mkmCyv1l/K5elKsh74Db0aprfVGw/7vdfbtXRhPgVKgft+dgLZLEUsbSDkceHXdm8AADz4yhgiSR3PvDmNSEq3067vefs2XLvNmovcE1CRMbOIakbdU1mLYcUcCpRDHQLSZ2YS2Nbbfl2Bwz5VKIdWYIL1rBlb0DATT2PTxsbObi3WPiOS0rG+w1rtb+zy4excEkGPCy6J2H7dSjiVw3JpxoOlVfE4ponVC93MYjySQodXwcOvT+DgW+dBqZVkMNTlw77hLvzg4Ch+dmwSL5+zstmKTeLj6nc2nm5KIaPqsgLS9Yw5xNMGpmPpmozrbTU6fUI5tATjTuUQa4ZyWBxziDBXAmAZh3OzCSQL2nVXostvHb8S5ZBe4wFpJ946KIdkxsB9j52wjfBEREOWAndfb802/o/XxgHkUqt//aoBnJ5J4OVzC/jULTvxkbdtxu1XDCz6XJ4O6Wy50Uj1p8gs5lBHtxKfE725DY2DpRyEcWg63Di8ORmHpmcbH3MoKIKjlCKSyo0y3NTtw+h8ClFNz6uOrkS4Bilxaz2V1QkP6NbyIffcyVn8v4+/aVeyn5+3alquHOpET8CNl1jrFD7h712Xr8eGDg/+8KbtuOft2/CZ91yCSzaEFn2uUznkYg4NVA48W6mOAemRGet3Ndzdfsah06esOA19JQjjAGvlxgtjTkxa1ZPNiDkYWYosm16VzJjQTWpXvQ73+GFkKd6cjFescXDCsx7mVuC7FG6lHLZyWEb218mpGD7xwMuLFCLvm3Riyrr2eMvtwbAPF68P4th4FEBOOYQ8Cp75k3fgv968o+z3s5VDIgPNMKHIxK6ybgSNiDmMMOVQq9kqrYRQDi0AVw3rOzz2aMFmKAcgNxyFGys+ynALk83HJ2NLUg4uWUKHV1mZcuCrThGQtl1rWpWDmZw8+cY0/s8rY/aMYw4v1Hpz0qpmHp1PQSLW4Kad/UHwUdDOwsZqHvJdTDXOxNLWPI4GZ/N4FNlKo65jEdzITAJ9QXdDm2Q2irBPQTJjVtXKvx6Iux25RlxXbcwV0TQj5gDk/Pu8hQdXDtynmjGySzIOgPWQmFvBCiRtmHBJpKF1H60KT5dcjnKYYZX3FxbyG/fxrqp85vPofBLrQh6oLgkXrc+5izqWOPPYJUsI+xTMJqyAdKNTkTt8CiJJ3VaeLonY2Xa1YmQ20ZbBaAAIs2SShSZlLIm7Hbkahys35kYLNks5pE3rRuLKgXeO7PKrdkaKdwluJcC6yFaqHEQaqwV3Ky1nNTdtG4fFvSRtzgUAABbaSURBVJEAa+azmaUYnUvZNQwXrcvNKV9Or68eVuvAx7w2krBPwVwyYxdudvrUmiuHMzNJDLehSwlofpX0iq4WQsgIIeR1QsgrhJADbFsXIeQxQsib7N+wY/9PE0JOEkKOE0JucWzfwz7nJCHkS6TBQ4q5criSKQepwa0zAIdx0Llbybog+GqREGK7lgqb7lUi7FvZPNq1OiK0GPz3sBzlwKuVC9tf8HbcGSOLs7MJq8Cty0ph3tYXAPcgLadLcHdAxUw8jbSebXi2WZdPRSSlI5E2oMgEIY8LqRqmAMfTBmbi7ZnGCsBORmlWULoWV8vbKaVXUEr3sv//KYDHKaXbATzO/g9CyCUA7gRwKYBbAXyZEMKfOF8BcDeA7ezr1hqcV9WMRbS8dr/dAXdDA3eAY/h5YczB0TmSn9+S3Up+ZYV1DllhHBheZfnZStyttGhYT1q3DcCRsSgmopqtHDyKjM09fgTdrmVdk90O5dDov2GnTwWl1nAdjyJbMYgajgrlHWc3t2GmErDKlUMJbgNwP3t9P4DbHdsfoJSmKaVnAJwEsI8Qsh5AiFL6PKWUAviW45iGMBFJYV2HB2GfArdLarhLCagccwBgr5CW2k3ScivpoEWakFWDZphrcn50MVYSkC5lHKIpAzv6LffRT45MIEuBwXCu1cmugQ70LDMG1htwYyaehmY03jiEWY3NWESDV5HhVWvX7lzTTXz2oSPwKjJ2D3VWPmAV0mzjsNIQPwXwU0IIBfCPlNKvAuinlI4DAKV0nBDSx/YdAPBLx7GjbJvOXhdubxjjEWulRgjBQKe34cFoIBfodCoHl0TyZkUvWzn4rDYKiYy5rOl26SZkurQqnmUGpLNZ6nArLY45rOvwIJEx8OPXxqHKUl5yxJ+/+xLbzbhUuv0qopqBGGvr3Ui46h2PpOBTZXgVuWYV0n/x46N4+dwC/r/f2pM3HrWd4G6l1RqQfiul9CoAvwrgHkLI9WX2LaaJaZntiz+AkLsJIQcIIQemp2sz5J1SinNzSXul9pe378InK+SP14NczMF66CykdFajkPv15IzD0gPSwPIL4dJG4/3VrYrEWpdoVQSkP/vgYTx30ipsi6R0GFmKoNuFiaiWN0s5phkIeRR8YM8QfnXXOjz6ieuwrS/XK6g36Ma2vuCiz68G3k326Fh0ydfNSuEr34mI5VbyqnLNYg5PvjGF9+7egFt3ravJ57UiHsUyqM2a6bCiq4VSOsb+nSKE/AjAPgCThJD1TDWsBzDFdh8FMOQ4fBDAGNs+WGR7se/3VQBfBYC9e/cuz0dSwFQsjWTGxNZe68H7Vta0rNFwyf/9g6PY1hdAJKUvmnG7uccPjyLZ83qrhc+jnYxqGOpaemaHlekilAPHq8jQKiiHjJHF/c+fxXhEw7XbemyX0q6BDjx/ehaTsbQ9dyGa0hH0uPAHN22v+bleMdSJoS4vrtncjd+9bkvNP78cYXb96iaFlymHWriVUhkT4xENO/rar9leIWGf0rTme8teDhJC/ISQIH8N4FcAHAbwEIC72G53AXiQvX4IwJ2EEDchZDOswPOLzAUVI4TsZ1lKH3YcU3dO8aBWT3MvtCuGOvGBvYP4waFR3P3tg4gk9UV57UGPgsc/eSPev2ewxKcU57JBq8/9iyPLG/qjNSHTpZXxKFLFaXA8oeD507MwzKydxnr5kPW34HEHSqk1q2GJNQzVcsmGEJ7543fgb+/YjZ3rlqc+lkvYkfHH3Uq1CEjzeeqb2jRLyUnYrzat+d5K7vh+AM8SQl4F8CKA/6CUPgrgrwHcTAh5E8DN7P+glB4B8D0ARwE8CuAeSim/Uj4K4OuwgtSnADyygvNaErxadXNvcy80WSL4wvt34w/esR2Hzs3j/HzSro52MtDprbojK6cv6MFF64J2755qMcwsIildpLIW4GWVv+XgxiGmGXj9QgQzLN6we9AKnnLjoOlZ6CZt6LzyRhF0Wx2EAdgB6VrEHOx7tk2zlJyEfSpGZhP29dRIlm0cKKWnKaW72dellNJ72fZZSulNlNLt7N85xzH3Ukq3Ukp3UkofcWw/QCndxd77GF1uWk0V/OjlUdz2D8/CZD0JTk8n4FEkrF+iq6Ze7N/SDUqBs7PJJVfEluP6Hb04MDJf8ebUdBOzbJX7z78YwXWffwKziYwwDg48VbhHeGEbAPzi5Axm2Czny5mK49PcYmy/RgeLGwEhxA6qeuxspZXHHHgn1o1tWvzm5Fcu7cfpmQRu+JsnMVLQdqXerDlfgUQIXh2N4PCFCABrFTLc7bcnrDWbKzd2QpGtc3HWOKyU67b3IGNm8cKZ8q6lf3jiJG77X78AAJyeiSOqGZhLZIRbyYFnCcpBlSU8e3IGs4k0ZIlgQ4cXnT4F5+cs48CNSL3cSs2GX8NeFlzNmNm8YPxyGJlNosuv1nTx1Kp8+C3DeOB392MhqeOXp2cb+r3X3B3PA87PsiyS09NxbG2hKVIeRbZdD7V8YFw93AW3S8LTJ8pneY3MJjA6n0LaMG1XCAARkHbgUaSKw354M73rd/Tg4Nl5nJpKoNuvQpII9mwM47Gjk8gYWURYdXSoDZUDkAtK85gDsLwaEScjM4m2bZlRDF7HsZL+aMthzRmHnoAbl6wP4ekT08gYWZyfT7XcoJB9m7sAoGjMYbl4FBnXbe/F9w+O2u1CisELbmbjGczG0wiyughRBJdjKTGHu64dhm5S/OTohF1c+aG3bMJMPI1HDo873ErtuQrmysGjyrkRq0sMSutmFgfPztuK4+xsoi3nN5SiWSmta/KOv257Dw6dm8fxiRjMLMWWJgejC+HGoday+c/ffTEMk+JPf/hayWrpOdbHZTqWxmwigxsv6sN/vnYYN1/cX9NzWc1UE3OIsPTDfZu7cMOOXlAKu8r5+u29GO724VvPn0WUdWTt8LancugqcCsBSzcO//uXZ/EbX3kOb/v8k/jeS+cxFtHatp9SKZqR0romjcPbtvdANyn+4ck3AbTeiMFrt/bgY2/fhrdf1Fd55yUw3OPHp27ZiaeOT+Olkfmi+8wlrMDpTDyNmVgaPQEVn/u1S7F3uKum57Ka8ShyxSK4SEqHR5Hgdsn4vRus+oIeNnxHkgh+a/8mHDw7j5fPWX+HdsxWAoBO1kLDq8h2Zf9SO7M+engCQ11erOvw4I9/8BqA9hzuU46VdlZeDmvSOFw93AWPIuEnRyaxLuSx+9q0CqpLwn+7ZWddOsPesLMXgNXSoBBKqd0B8vxcEomM2ZQ+U62O1UCucp0DV35v2dKND+3fhF/dtd5+/yamxH52bBJA+7qVeJW0M+awFOMwn8jgwNl53H7FAL7zu9fgKtZWv9UWdPWmy7+ymSzLoT21bAU8iox/+Z1rYJgUezaF19QQGy7zi7XwTmRMu7fTcTYula92BTmsgHTlVFZnu/W/vH1X3vvD3T70BNw4P5eCIpO2zQYLO1JZl9Pu/MnjUzCzFO+8uB8+1YV//u19eOzoJC4b6KjL+bYqnT7VHh/bKNrziqyCPZu6cM2W7jVlGAArA0oi+X2W/v7xN/GRb76Ut+3YuGUcuv1CORRSbUC6XMyIEIKrh63meiFPfg+tdsJOZVXl3PxtvfpCuJ8dm0Rf0G0bgw6vgvfvGWzb31cpunzKimayLIe19WQUQJYIOgvGhj58eALPnpyx+/8AwAmuHJrQobbV8SgyjCyFXiZfP5IyKiYU8DhOOxbAcbjyDLhddswhWaVySGYMPHV8Gu+8pL9l6pCaRScbnLTSGpGlIIzDGiTsU+zYQjJj4MRkDGkjaxsEjyLZN3B3gyfirQaqGfgTTVXul7SPGYd2LYADgCuHwvib91+Ot27rsY1ltS2of3JkAsmMiduvaGgH/5aExx8b2UZDGIc1SJc/Nzb08IWo3UrktVGrany7oz20CEgvxh74U6YQrpJbCQAuXh+EX5XbNlMJsDKz7tg7BEWW7AfcbLw698gPD13AYNiLvZvClXduc+yRoQ0MSgvjsAYJ+1T7InvlfC6llRsHnr3ld/iJBTk8FZSDYWYRT1d2K7lkCXdfvxXvumx92f3aBUWW0OlT8tyXpZiIaHj25Ax+/cqBNe9SAnLKYS6h2zU09UYYhzWIUzm8ej5iT757YyIKRSbY3GPlkHcL1VCUSsaBF7ZVowg+/s7t+L+u2Vi7k2txegJuzCYqG4dHD4+DUuD2K4VLCcilBI/MJrD7L36K+58bqfv3FMZhDRL2W8qBUopXzi/gms1d6Amo0E2KsE9FX9DqUCvSWItTKV+f+4XXQmO4pdLtVzETq+waOToeRbdfxZYW6nvWTPhsjKeOW7PTtjdg0JEwDmuQLp9lCEZmk7iwkMIVQ50YCFtqocuv2kpCKIfi5JRD8ZhDVBiHkvQE3JipQjmcmIy3XHFqM+H1Sc+cmAEhuQFe9UQYhzUIX4U8d8rqTHvJ+hCG2AztsE+1g9BCORTHq/KAdAXl4BPGoZCegFoxIE0pxZuTMezoF6qB41VluF0SYmkD2/sCDamoF8ZhDdLF+t28yGY7bO8P2rOluwI55SAylYrD25cLt9LS6Q64EUnpyJRp231hIYVExsSOBo81bXV4UJq39K83wjisQXhw64XTcwj7FPQEVAwy5dDls4zDOy7qs2dfCPLhaYWlWp8L41AavuAoV+375qQ11124lfLh9+0VG4VxENQJvgKZiGrY3hcEIQRDjpiDLBH803++Gvu3dDfzNFuWgU4vBsNee2BUIcI4lKabuSrLpbPyvl47+oRxcBJmiv+KIWEcBHUi7Kh63sb8utyt1C3iDBUhhOC67b14/tTsohYaibSB7x04j03dPjF3uwg9VRiHE5Mx9IfcImZTQNinwqvI2NkgRSWMwxok6HbBxQqLdrCUuOFuH+593y689/INzTy1VcP123sQTxt49fyCvW0qquEzDx7GubkkvvAblzfx7FoX7laaKROUPjEZEy6lIvz2Wzfjr27f1bBmoe3b8UtQEkIIwn4V07E0trObkBCC37xmU5PPbPVw7dYeSAR4+s0Z7B3uwrefH8FnHjwCAPjojVtxjXDJFYWnR88WUQ4TEQ33PnwMR8ei+J3rtjT61FqePZvC2NPAViJCOaxReN50I4pp2pEOn4LdQ534+YlpAMB3XjyPSzeE8NDH3oo/vmVnk8+udfGrMjyKhNkiAekvPPoGfnpkAnddO4x7btzWhLMTOBHGYY0S9ivo8Cp22qpg6bzz4n68en4BL43M4dh4FO/dvQGXD3auuVkDS4EQgm6/GzOxfOWg6SZ+cmQCt18xgM++91IRb2gBhHFYo9ywow/vu3JAPMhWwO1XDoAQ4E++b801vpGNYBWUpyegYqZAOTzxxhQSGRO/doWIebUKIuawRvnojVubfQqrnoFOL/Zv7sbzp2exLuRpWBbJaqcn4MZ4QY3Iv786hp6AW6RPtxBCOQgEK+DXr7K6ht64s1eosCrZ1h/AsYkoHnl9HP9/e/ceY1dVxXH8+0unbdK0UimlGeRRCY+ASMQOpkQID0O0BGNQwiOEFoyvqJH+ZzUmmiiJECE8AtRJqPGNUUGrJDQEkIBEwxArtOkLqkmpjRSFtlBLU1n+cfbEm7kzzOuce/aZ8/skN/d2z+m+a63czLpnzz37QnFB3ONbX+Hys/uZ5e25s+EzB7NpWPH+fn6zcTdXnXtC3aE0xuqPnMazf/s3Nz2wkWMWzOWp7Xt568jbXNeircubQBFRdwxTMjAwEENDQ3WHYWZT8PrBw1xx7zMcOFTss7T85EUMrhyoO6xWkPRcRIxbbC8rmVnPLZw3h8Hrl/Gfw/9l/6EjfPFif3Q1N15WMrNanLpkAfffcC6bdu/r2X5BNnFuDmZWm+UnL/InlDKVzbKSpI9J2ibpRUlr6o7HzKzNsmgOkmYB9wArgDOBayWdWW9UZmbtlUVzAD4EvBgROyPiMPAA8ImaYzIza61cmsN7gF0d/345jZmZWQ1yaQ6jXRbZdQGGpM9JGpI0tHfv3h6EZWbWTrk0h5eBzktMjwf+MfKgiBiMiIGIGFi82JucmZlVJZfm8CxwqqT3SpoDXAOsrzkmM7PWyuI6h4g4IunLwAZgFrAuIjbXHJaZWWs1dm8lSQeAbeMcdhSwr8SnPQZ4tcT5yo4v9/nKrF/uueZcO8g/37LnA9dwOP+TImL8dfmIaOQNGJrAMYO9fs5Jzld2fLnPV1r9GpBrtrVrSL6lzucaTj7/XP7mUJXf1R3AOMqOL/f5ypR7rjnXDvLPN/f6Qf45T2u+Ji8rDcUEtp1t+nPOJK7f1Ll209f2Gk42/yafOQy25DlnEtdv6ly76Wt7DSeVf2PPHMzMrDpNPnMwM7OKtLo5SDpB0hOStkjaLOmmNH60pEcl7Uj3707jl0p6TtIL6f6SjrlulrRL0ht15dNrZdVP0jxJD0vamub5bp159ULJr71HJP01zbM27XI845VZw44510va1OtcslT2x8WadAP6gQ+mxwuA7RRbht8KrEnja4Bb0uNzgOPS47OA3R1zLU/zvVF3Xk2rHzAPuDg9ngM8BayoO78m1C79+13pXsCvgWvqzq9pNUxjnwR+BmyqO7ccbrUHkNMN+C1wKcXFdf1prB/YNsqxAv4FzB0x3prmUEX90s/uBD5bdz5Nqx0wm+Lji1fXnU/TagjMB55OzcXNIWb+dQ4TJmkpxTuLPwNLImIPQLo/dpT/8ingLxHxVq9izFlZ9ZO0EPg48FiV8eakjNpJ2gC8AhwAflVxyNkpoYbfBm4DDlYebEO4OQCS5lOcjq+OiP0TOP59wC3A56uOrQnKqp+kPuDnwF0RsbOKWHNTVu0i4qMU75LnAl1r6TPZdGso6QPAKRHxUKWBNkzrm4Ok2RQvrJ9GxINp+J+S+tPP+ynekQ0ffzzwELAyIl7qdby5Kbl+g8COiLij+sjrV/ZrLyIOUexm3JpvUSyphucByyT9nWJp6TRJf+hNBvlqdXOQJOB+YEtE3N7xo/XAqvR4FcVa5vCSx8PA1yLij72MNUdl1k/Sdyg2Cltdddw5KKt2kuZ3/CLsAy4DtlafQf3KqmFE3BcRx0XEUuB8YHtEXFR9Bpmr+48edd4oXggBPA9sTLfLgEUUa9470v3R6fhvAG92HLsRODb97FaKLy16O91/q+78mlI/ii93CmBLx/hn6s6vIbVbQvF9KM8Dm4G7gb6682tSDUfMuRT/QZqI8BXSZmbWrdXLSmZmNjo3BzMz6+LmYGZmXdwczMysi5uDmZl1cXMwq4CkL0haOYnjl3o3UMtJX90BmM00kvoiYm3dcZhNh5uD2SjSRm6PUGzkdg7FdtArgTOA2yl28XwVuCEi9qTtFp4BPgysl7SAYofe76W9e9ZSbE3+EvDpiHhN0jJgHcVmb0/3Ljuz8XlZyWxspwODEXE2sB/4EsUVyFdGxPAv9ps7jl8YERdGxG0j5vkR8NU0zwvAN9P4D4CvRMR5VSZhNhU+czAb2674/x48PwG+TvElMY8W2/owC9jTcfwvRk4g6SiKpvFkGvoh8MtRxn8MrCg/BbOpcXMwG9vIvWUOAJvf4Z3+m5OYW6PMb5YNLyuZje1EScON4FrgT8Di4TFJs9N3A4wpIvYBr0m6IA1dDzwZEa8D+ySdn8avKz98s6nzmYPZ2LYAqyR9n2KHz7uBDcBdaVmoD7iDYjfUd7IKWCtpHrATuDGN3wisk3QwzWuWDe/KajaK9Gml30fEWTWHYlYLLyuZmVkXnzmYmVkXnzmYmVkXNwczM+vi5mBmZl3cHMzMrIubg5mZdXFzMDOzLv8DOZowed2yQ5MAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-200:].plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Etude de l'incidence annuelle" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nous observons que l'incidence semble périodique, avec un creux chaque année autour de septembre. Vérifions cela en traçant sur le même graphique que précédemment des lignes horizontales là où nous aimerions définir le début de notre période." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1991,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = sorted_data['inc'][-200:].plot()\n", + "for w in first_september_week:\n", + " if w >= sorted_data.index[-200]:\n", + " ax.axvline(w, color=\"red\", linestyle=\"--\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ce découpage a l'air tout à fait satisfaisant visuellement. Nous pouvons donc le conserver et procéder à une analyse annuelle où nos périodes commencent le premier septembre de chaque année." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_september_week[:-1],\n", + " first_september_week[1:]):\n", + " one_year = sorted_data['inc'][week1:week2-1]\n", + " assert abs(len(one_year)-52) < 2\n", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)\n", + "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "yearly_incidence.plot(style='*')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On constate d'emblée une incidence remarquablement faible en 2020, année du Covid et des confinements qui en ont découlé. En triant les données, on peut ainsi observer les années ayant vu le plus de cas se produire." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2020 221186\n", + "2023 366227\n", + "2021 376290\n", + "2002 516689\n", + "2018 542312\n", + "2017 551041\n", + "1996 564901\n", + "2019 584066\n", + "2015 604382\n", + "2000 617597\n", + "2001 619041\n", + "2012 624573\n", + "2005 628464\n", + "2006 632833\n", + "2022 641397\n", + "2011 642368\n", + "1993 643387\n", + "1995 652478\n", + "1994 661409\n", + "1998 677775\n", + "1997 683434\n", + "2014 685769\n", + "2013 698332\n", + "2007 717352\n", + "2008 749478\n", + "1999 756456\n", + "2003 758363\n", + "2004 777388\n", + "2016 782114\n", + "2010 829911\n", + "1992 832939\n", + "2009 842373\n", + "dtype: int64" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "yearly_incidence.sort_values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Enfin, un histogramme montre la distribution des incidences anuelles." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " Year Wheat Wages\n", + "rownames \n", + "51 1815 78.0 NaN\n", + "52 1820 54.0 NaN\n", + "53 1821 54.0 NaN" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[raw_data.isna().any(axis=1)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On observe qu'il manque des données pour les salaires lors des années 1815, 1820 et 1821. Nous proposons de garder ces points de données tout de même. Cependant, nous enlèverons l'année 1821 qui n'apporte rien à l'analyse de plus que l'année 1820." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Regardons l'écart temporel qui sépare deux dates, pour être sûr qu'il est bien de 5 ans de partout." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "year_diff = [raw_data[\"Year\"].iloc[i+1] - raw_data[\"Year\"].iloc[i] for i in range(len(raw_data)-1)]\n", + "unique_years = []\n", + "for year in year_diff:\n", + " if year not in unique_years:\n", + " unique_years.append(year)\n", + "count_year_diff = {year: sum([i == year for i in year_diff]) for year in unique_years}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{5: 51, 1: 1}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_year_diff" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On observe que toutes les dates sont espacées de 5 ans à l'exception d'une (la dernière) que nous avions de toute façon prévu d'enlever." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reproduction du grpahique de Playfair" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Créons un objet ```DataFrame``` avec lequel nous allons travailler, et changeons la colonne qui sert d'index pour utiliser les années." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "data = raw_data.copy().set_index(\"Year\").drop(index=1821)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Wheat Wages\n", + "Year \n", + "1800 79.0 28.5\n", + "1805 81.0 29.5\n", + "1810 99.0 30.0\n", + "1815 78.0 NaN\n", + "1820 54.0 NaN" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Voyons un aperçu des données. Pour commencer, reproduisons le grpahique de Playfair" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Evolution des prix du blé et des salaires des ouvriers \\n en Angleterre entre 1560 et 1820')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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CD8T3AXf77u5qapeDONytmfKW8zpkb645bBhwtIWuglMKSOuzhoZ3IQ4hQPwSwN2Xm9kMwtn963UsL9X990DCgSKlrr57hgEXm1l652tF1OxKvPb055jZaWnjCoHn61lf7S6oU117p8bl1ZHPVNfe6d2z1+7auzHbdm/zUycPfQKl3G1mFxAO2j8nHGhTL2CqBGaY2fPAyYRa4GZqdsbXHdjs8RS8lobsi73xfcKb44YQtu+FwHNmNjKeeBCv39xLaMq7Mm3e2uUgDm9CGkQBIrcsA2a4+6f3dkFmdiyho7frzOxbcXQ3Qi3iaq+/O+wVhDPVlCGZJiTk+0Z3vzFDeu0DU53dR2eYp/a45uzau7SeeTM9jbo3+WksZ3f33G/WM+3bhNrPq3F4DLu72K6tvn2xt0/ijgEecPdU55N3mdlPCc2ec2Kt5k5CoD4lrbZIzPPFqQELPcbuT+aySC1qYsotTwIHWXg/dWH8jE9rOmiMiwkXu0cQmo3GEpolOhOaQurzIKHb5EMtdLF9fR3T/hL4qoUXrVi8tfafzCzVFFC72/SM3Uc3tHDevF1712clUFrXnUqNzU/cTsWEmlbq3eKd4vcecdsUW+gu/YuEt/Q9HWd/gXD947qYfhzh7Wap9HuAfzezQRbex/wtwjWjJPXti7q6vE+VpSiWxYDCuIzUtppNqKH0j9vkS+x+XS/AbYQ7sU5z9221Fv0oMMrMvhCXfz2hybTRPSZ3VAoQOcTDy0lOJrRbLydUyVPvwG2w+GM6l/DWt4/TPksIVfmL614CuPufgZ8RmhreI9yeCOEsufa0cwjXIf6X0MX2e4SuvlN+CHzPQrfZV3vd3Uc3RrN07d0AD8W/5WaWdCtnU/IzjNBUlDob3kZop4dwAL2B3RepryK8XXEhQDzLPoPQ5LSBEKDTu5q/g3A96S3CRd0/xXF7aMC+uJVwrWadmf0sQ1n+GvN/LOF6yTZCQIPw//sGu+9w+ybhIvP6GKwvJ5y8fGy7n/n4YszbasKrTG8kbM+jafo1nQ5JfTFJq4i1mPmEO5NaoglFRJqZahDSYszszNh80JNwJviEgoNI+6EAIS3pckKzw2LCHT9fy252RKQx1MQkIiKJVIMQEZFE7fo5iD59+nhpaWm2syEi0q7MnTt3jbv3rW+6dh0gSktLmTNnTv0TiojILmb2QUOmUxOTiIgkUoAQEZFEChAiIpKoxa5BmNmvCd1Pr3L3UXFcL8JLZUoJffyf6+7rYtp1hBeTVAFfd/enExZbr4qKCsrKyti+fftel0H2VFxczODBgyksLMx2VkSkhbXkReq7CH3r3JM27lrgWXe/ycyujcPXmNkIQh8pIwldPD9jZge5e1VjV1pWVka3bt0oLS0luft6aSp3p7y8nLKyMoYPH57t7IhIC2uxJiZ3f4Hw9rJ0ZwB3x+93E957mxp/v7vviB3CvUd461mjbd++nd69eys4tAAzo3fv3qqdiXQQrX0Non/s1jjVvXG/OH4QNV+MUhbHNYmCQ8vRthXpONrKReqko05iHyBmNtnM5pjZnNWrV7dwtkREOq7WDhArzWwAQPy7Ko4vo+YbxwYT3mewB3ef5u7j3H1c3771PgiYNTfeeCMjR47ksMMOY+zYscyaNSvjtJdccgkPP/xwncu7/vrreeaZZ5o7myIiGbX2k9SPE142c1P8+1ja+N+Z2S2Ei9QHsvt1h+3OK6+8wpNPPslrr71Gp06dWLNmDTt37tyrZU6dOjVxfFVVFfn5+Xu1bBFpPU888UTi+NNOOy1xfDa1WA3CzH5PeIvYwWZWZmaXEgLDp81sEfDpOIy7v014ReU7wF+Af23KHUxtxYoVK+jTpw+dOoUXufXp04eBAwcydepUxo8fz6hRo5g8eTJJPelmmia9llFaWsrUqVM5/vjjeeihh1i8eDGf/exnOfLII5kwYQLvvhteDPbQQw8xatQoxowZwwknnLDHukRE6tJiNQh3vyBD0qQM099IeDVg8/nGN2DevGZdJGPHwk9/WuckJ598MlOnTuWggw7ipJNO4rzzzuPEE0/kyiuv5Prrw6uZv/SlL/Hkk0/ucdbQkGkgPI/w4osvAjBp0iRuv/12DjzwQGbNmsUVV1zBc889x9SpU3n66acZNGgQ69evb47Si0gH0q4762urunbtyty5c5k5cybPP/885513HjfddBPdunXjRz/6EVu3bmXt2rWMHDlyj4P/888/X+80AOeddx4Amzdv5uWXX+acc87ZlbZjR3jt83HHHccll1zCueeey1lnndWCJRaRXJTbAaKeM/2WlJ+fz8SJE5k4cSKjR4/mjjvu4M0332TOnDkMGTKEKVOm7PE8wfbt27niiivqnCalS5cuAFRXV9OjRw/mJdSUbr/9dmbNmsWf/vQnxo4dy7x58+jdu3fzF1ZEclJbuc01pyxcuJBFixbtGp43bx4HH3wwEK5HbN68OfGupVQwqGua2rp3787w4cN56KGHgPC08xtvvAHA4sWLOfroo5k6dSp9+vRh2bJldS1KRKSG3K5BZMnmzZu56qqrWL9+PQUFBRxwwAFMmzaNHj16MHr0aEpLSxk/fvwe8/Xo0YPLLruszmmS3HfffXzta1/jhhtuoKKigvPPP58xY8bw7W9/m0WLFuHuTJo0iTFjxjR3UUUkh7Xrd1KPGzfOa78waMGCBRx66KFZylHHoG0s0nRt4TZXM5vr7uPqm05NTCIikkgBQkREEilAiIhIIgUIERFJpAAhIiKJFCAk0UsvvcTMmTOznQ0RyaKcfw4i0y1lTdWQW9Hy8/MZPXo0lZWVHHroodx999107tx5j+lOOeUUfve739GjR49G52PKlCl07dqVq6++ukHTT58+nZtvvpknn3xyj7TS0lLmzJlDnz59AHj99df5zW9+w2233dbofIlI7lANogWUlJQwb9485s+fT1FREbfffnuNdHenurqap556qknBoaUdfvjh/OpXv6KwsDDbWRGRLFKAaGETJkzgvffeY+nSpRx66KFcccUVHHHEESxbtozS0lLWrFnD7NmzOeyww9i+fTtbtmxh5MiRzJ8/f49l3XjjjRx88MGcdNJJLFy4cNf4iRMnknpgcM2aNZSWlibmZePGjZx55pmMGDGCr371q1RXV+8xzW9/+1uOOuooxo4dy+WXX05VVbvtdV1E9pICRAuqrKzkz3/+M6NHjwZCH00XXXQRr7/+OsOGDds13fjx4zn99NP53ve+x3e+8x0uvPBCRo0aVWNZc+fO5f777+f111/nkUceYfbs2Y3Oz6uvvspPfvIT3nrrLRYvXswjjzxSI33BggU88MADvPTSS8ybN4/8/Hzuu+++JpRcRHJBzl+DyIZt27YxduxYINQgLr30UpYvX86wYcM45phjEue5/vrrGT9+PMXFxfzsZz/bI33mzJmceeaZu65lnH766Y3O11FHHcV+++0HwAUXXMCLL77I2WefvSv92WefZe7cubv6gNq2bRv9+vVr9HpEJDcoQLSA1DWI2lJddCdZu3YtmzdvpqKigu3btydOa2aJ8xYUFOxqLsrUPXjS/LWH3Z2LL76YH/7whxmXISIdh5qY2ojJkyfzX//1X3zxi1/kmmuu2SP9hBNO4NFHH2Xbtm1s2rSpxt1ZpaWlzJ07F6DOLsJfffVVlixZQnV1NQ888ADHH398jfRJkybx8MMPs2rVKiAErQ8++KA5iici7VDO1yDa4ovAa7vnnnsoKCjgn//5n6mqquLYY4/lueee41Of+tSuaY444gjOO+88xo4dy7Bhw5gwYcKutKuvvppzzz2Xe++9t8Y8tX3iE5/g2muv5a233uKEE07gzDPPrJE+YsQIbrjhBk4++WSqq6spLCzkF7/4RY3rJSLScai7b2k0bWORplN33yIi0u4pQIiISKKcDBDtudmsrdO2Fek4ci5AFBcXU15ergNZC3B3ysvLKS4uznZWRKQV5NxdTIMHD6asrIzVq1dnOys5qbi4mMGDB2c7GyLSCnIuQBQWFjJ8+PBsZ0NEpN3LuSYmERFpHgoQIiKSSAFCREQSKUCIiEgiBQgREUmkACEiIokUIEREJFFWAoSZfdPM3jaz+Wb2ezMrNrNeZvY3M1sU//bMRt5ERCRo9QflzGwQ8HVghLtvM7MHgfOBEcCz7n6TmV0LXAvs+eYcEZF2IFO33u1JtpqYCoASMysAOgPLgTOAu2P63cDns5Q3EREhCwHC3T8CbgY+BFYAG9z9r0B/d18Rp1kB9Eua38wmm9kcM5uj/pZERFpOqweIeG3hDGA4MBDoYmYXNnR+d5/m7uPcfVzfvn1bKpsiIh1eNpqYTgKWuPtqd68AHgGOBVaa2QCA+HdVFvImIiJRNnpz/RA4xsw6A9uAScAcYAtwMXBT/PtYFvImItJouXBBOkmrBwh3n2VmDwOvAZXA68A0oCvwoJldSggi57R23kREZLesvA/C3b8PfL/W6B2E2oSISIeTqRZy2mmntXJOdtOT1CIikkgBQkREEilAiIhIopx7J7WISEvJ1buVMlENQkREEilAiIhIIgUIERFJpAAhIiKJFCBERCSRAoSIiCRSgBARkUQKECIikkgBQkREEilAiIhIIgUIERFJpAAhIiKJFCBERCSRAoSIiCRSgBARkUQKECIikkgBQkREEilAiIhIIgUIERFJpAAhIiKJFCBERCSRAoSIiCRSgBARkUQKECIikqgg2xmQ4Iknnkgcf9ppp7VyTkREAtUgREQkkQKEiIgkUoAQEZFEChAiIpIoKwHCzHqY2cNm9q6ZLTCzT5hZLzP7m5ktin97ZiNvIiISZKsGcSvwF3c/BBgDLACuBZ519wOBZ+OwiIhkSYMChJkdZ2Zd4vcLzewWMxvWlBWaWXfgBOBOAHff6e7rgTOAu+NkdwOfb8ryRUSkeTS0BnEbsNXMxgDfAT4A7mniOvcDVgO/MbPXzexXMfj0d/cVAPFvv6SZzWyymc0xszmrV69uYhZERKQ+DQ0Qle7uhLP8W939VqBbE9dZABwB3ObuhwNbaERzkrtPc/dx7j6ub9++TcyCiIjUp6EBYpOZXQdcCPzJzPKBwiauswwoc/dZcfhhQsBYaWYDAOLfVU1cvoiINIOGBojzgB3Ape7+MTAI+HFTVhjnX2ZmB8dRk4B3gMeBi+O4i4HHmrJ8ERFpHg3qiyke1G9JG/6Qpl+DALgKuM/MioD3gS8TgtWDZnYp8CFwzl4sX0RE9lKDAoSZbQK81ugNwBzgW+7+fmNW6u7zgHEJSZMasxwREWk5De3N9RZgOfA7wIDzgX2BhcCvgYktkTkREcmehl6D+Ky73+Hum9x9o7tPA05x9wcAPfEsIpKDGhogqs3sXDPLi59z09JqNz2JiEgOaGiA+CLwJcKtpyvj9wvNrAS4soXyJiIiWdTQu5jeBzK92uzF5suOiIi0FQ29i6kvcBlQmj6Pu/9Ly2RLRESyraF3MT0GzASeAapaLjsiItJWNDRAdHb3a1o0JyIisocnnngicfxpp2Vq9W8+Db1I/aSZndKiORERkTaloTWIfwO+a2Y7gArCw3Lu7t1bLGeSk7J5NiQijdPQu5ia2rW3iIi0U3UGCDM7xN3fNbMjktLd/bWWyZaIiGRbfTWIbxFub/1JQpoDn2r2HImISJtQZ4Bw98vi30+2TnZERKStqK+J6ay60t39kebNjoiItBX1NTHVdWuJAwoQIhnoji1p7+prYvpya2VERETalvqamP69rnR3v6Wu9I5AZ4kikqvqa2LS8w8iIh1UfU1MP2itjIiISNtSXxPTd9z9R2b2cxLeHOfuX2+xnImIZEmmpuOOpr4mpgXx75yWzkhHoX88keaR9FvStb/mVV8T0xPx792tkx0REWkrGvpGuYOAq9nzjXLqakOyQnePibS8hnb3/RBwO/Ar9EY5EWlndELRNA0NEJXufluL5kRERNqU+u5i6hW/PmFmVwCPAjtS6e6+tgXzlhU608hMFwVFOpb6ahBzCbe3Why+ulb6fs2eIxERaRPqCxDnAcvcfQWAmV0MfAFYCkxp0ZyJiGq0jaTbyJtXXj3ptxOblMzsBOCHwN3ABmBay2ZNRESyqb4aRH7adYb2kb7tAAATuElEQVTzgGnu/gfgD2Y2r2WzJtKydHbePqhWkD311SDyzSwVRCYBz6WlNfQOKBERaYfqO8j/HphhZmuAbcBMADM7gNDM1GHoLKZl6WxeskG/67rV19XGjWb2LDAA+Ku7pzrsywOu2psVm1k+oY+nj9z91HhL7QOEp7WXAue6+7q9WUc26R9PRNq7epuJ3P3vCeP+0Qzr/jdCZ4Dd4/C1wLPufpOZXRuHr2mG9WSkg7iISGZZuY5gZoOBfwJuBFJvrTsDmBi/3w1Mp4UDhLR9CuIi2ZOtC80/Bb5DzTfW9U89b+HuK8ysX9KMZjYZmAwwdOjQls6nSL0UxCRX1XcXU7Mzs1OBVe4+tynzu/s0dx/n7uP69u3bzLkTEZGUbNQgjgNON7NTgGKgu5n9FlhpZgNi7WEAsCoLeZNmorPqtkV3iUlTtHoNwt2vc/fB7l4KnA885+4XAo8DF8fJLgYea+28iYjIbq0eIOpwE/BpM1sEfDoOi4hIlmT1aWh3n064Wwl3Lyc8rS0iIm2AusuQnKfrISJN05aamEREpA1RgBARkUQKECIikkjXIESkVemZjPZDAaID0w81mbaLSKAmJhERSaQAISIiiRQgREQkka5BtEONbSNv7INijZleD6Flh66TSGtQDUJERBKpBpFDdDbffrdBW8t3Un5UO+l4VIMQEZFEqkGISItoyWtf0joUIEREWkn+1q10//BDui9dSrelS+ny8cfM+v73wSzbWUukACHSynSm3HEUbNnCgFdeof+rr9J9yVK6rPx4V9rO4hI2lpZSsHUrlV26ZDGXmSlAiIg0I6uooN/cuQyeMYP+s2eTv3Mnm/r0ZcV+B7B2womUDxnG2sFD2NSnL326FdOpoO1eClaAEMkhqp1kSXU1vd59l0HTpzPwpZco2rSJbd27884Jn2TRcRNYtd8BbbYZqS4KECIiTdT1ww8ZPGMGg2bMoPOqVVQWFbHkyPEsOnYCZSNHU13Qvg+x7Tv3IiKtzKqqGPbnPzPkmWfo8f77VFseH40azStnnsOSI4+isrg421lsNgoQIrJXOlKzVsnKlRx+yy30XrCAVcP356UvXsx7Rx/Lth49sp21FqEA0cZ1pB9fW9fR90VHL/+gGTMYfdttuDvPfO3rvPeJ47KdpRanACEiUoeCLVsYfccdDJ4+nRUHHsxzX72STX37ZTtbrUIBQqQD6+i1gvr0fPddDr/5ZkpWr2H2mWfz2uln4fn52c5Wq1GAEBFJMHDmTMb+z/+wtUdPHvveFFYeeHC2s9TqFCBERGoZ/thjjLrzTlYcfAh//sa32dmla7azlBUKECIiKdXVjLjrLvb/4x9ZPP5onrv8SqqKirKdq6xRgBARAfIqKhhz660MfuEF5p/0GV668BI8r+12g9EaFCBEpMMr2LqVcf/93/R9803+fs4FzDv1jHbZNUZzU4AQkQ6t+/vvc8TNN9NlxQqem3wF/zj+xGxnqc1QgBCRjqm6mv0ef5xD7rmH7V278eS3v8vyEaOynas2RQFCRDqcTmvXMvbWW+n3+ussOXwcM75yOdu7dc92ttocBQgR6VD6z5rFmJ//nPzt25lxyVdY8MmTdL0hg1YPEGY2BLgH2BeoBqa5+61m1gt4ACgFlgLnuvu61s6fiOSmkpUrOeS++xg8fTprhpbyzNeuYv2gwdnOVpuWjRpEJfAtd3/NzLoBc83sb8AlwLPufpOZXQtcC1yThfyJSA4p2riRAx98kGFPPYWb8dppn2fO58+murAw21lr81o9QLj7CmBF/L7JzBYAg4AzgIlxsruB6ShAiEgT5W/bxn6PPcb+jz5K/vYdLDzhROaceQ5bevXOdtbajaxegzCzUuBwYBbQPwYP3H2FmSV2l2hmk4HJAEOHDm2djIpIu9Hlo48YNGMGw/7yF4rXr2fJkeOZdfb5ak5qgqwFCDPrCvwB+Ia7b7QGXiRy92nANIBx48Z5y+VQRNqLonXrGPTiiwyaPp2eixbhZpSNHM2cq77FygMPynb22q2sBAgzKyQEh/vc/ZE4eqWZDYi1hwHAqmzkTUTah6KNG+k/axYDX3yRPm+8QV51NauHDeflCy5k8dHHsaVXr2xnsd3Lxl1MBtwJLHD3W9KSHgcuBm6Kfx9r7byJSNtWXF7Ovn//OwNefpneb7+NVVezqU9f5v3T6Sz6xPGsGzwk21nMKdmoQRwHfAl4y8zmxXHfJQSGB83sUuBD4Jws5E1E2pj8rVsZNHMmQ559ll7vvgvAuoGDeO3UM1gy7ijWDBuu5xhaSDbuYnoRyLQ3J7VmXkSkjXKnxz/+wdC//pVBM2dSsH07awcN4dWzz+P9I4/SBedWoiepRaTN6LJ8Of1nz2bwM8+wzwcfUNGpE4uOPpYFEz/Fqv0PVE2hlSlAiEjW5O3YQZ/58+k7dy795syh68cfA7Bq+P7M+PJlvHfMsVSUdM5yLjsuBQgRaTVWWck+771Hn/nz6f3WW/R++23yd+6ksqiIjw4dyeuf/hzLDhvLxv77ZjurggKEiLSgws2b6bZ0KT0XLqTPm2/Sa8ECCrZvB2DtoCG8PXESHx42lhWHjOjQr/ZsqxQgRGSvWUUFXT/6iO4ffEC3pUvpvnQp3ZYupXN5+a5p1g4awrvHn8jyQ0aw/JBD2d59nyzmWBpCAUJEGq6qipLVq0MwWLp0V0DoVlZGXmVlmCQ/n/UDB1N28AjKhwylfMhQ1pTux/buet9Ce6MAISK7VVdTtHEjxeXllJSXU7xmDV1WrKDL8uV0WbGCzh9/TH4MBACbe/WmfMhQ3h85hvIhQ1k7ZCjrBwykukCHllygvSjSUbhTvHYtJStXhr8xABSvXUvJmjV0Ki+neO3aGgEAoLKoiA3992X1vgPZMOZINvTvz4Z9B1A+ZCg7u3TNUmGkNShAiOSg/B07dl0L6L50Kd0++IDuS5dStHlzjekqi4rY0rMXW3r2Ys0BB7GlZ2+29OwZxvXqzeZevdi6Tw/Iy8tSSSSbFCBEckFVFT0WL6bPvHn0feMNei5YsKsmsLO4mLWDh/Le+KMpHzyUjf36s6VXb7b07MWOLl308JlkpAAh0h6503nFCvq+8QZ9582j95tvUrRlCwBrhpXy1qc/x8cHHUz5kKFs6tNXNQBpEgUIkXaicONG+rz5Jn3nzaPPvHl0WRV6xN/cuzeLjzyKslGj+WjEKN0+Ks1GAUKkDSvcvJkBL77I4Bkz6PXOO5g7O0tK+GjEKMo+eyplI0ezYd8BaiaSFqEAIdLG5O3cSf/Zsxk0Ywb95swhv7KSdQMHMfeML7Bs9BhW7bc/np+f7WxKB6AAIdIWVFfTe/58Bk+fzr4vv0LR1i1s3acH8yd9hkXHHa93HkhWKECIZFG3JUsYPH06g154gZLycnYWF7Nk3NEsOvZ4PhoxCtfFZckiBQiRVlK0cWONZxN6LFxI92XLqM7P58PDxrLovAv54PAjqezUKdtZFQEUIESaXV5FBV3Lymo+qLZ0KSXr1u2aZlv37pQPGcYbF32axUd/gu3d1E+RtD0KECJN4U7Rxo27+ihK/e324Yd0LSsjr6oKgKqCAtYNHMyHI0ZTPnQoa4cMo3zIULbt0yPLBRCpnwKESIKCrVtDP0WpTuvSPiVr1lCyciVFW7fumr7ajM19+7F24CDeO+wIyocMYe2QYWzov686rpN2S/+50n5VVVGwbRt5FRXkVVdjlZXkVVVhVVVYZSX5O3fu+uTt2LH7+86d5O/YET5xuHDLForXrg1BYM0aCuNLbdJt69aNLT17sb5nL5btdyAb+u/Lhn0HsKH/vmzq20+BQHKO/qOladyxqqpwsK2sDAfp1KeyMhygKyqwioqa6Tt37pomr6IiHNArK7Hq6jBfVRV5FRXhYJ52AM/fuZP8bdso2LqVwvi3YMeOvS5GZWEhVYVFVJQUs6VHL1YNGMSWEaN3dVa3pWdPNvfqzdYePfXGM+lwFCByjTtWWUnBjh3hILplC4Vbt4YD69at5O/YsfvgnTpIp862U2fV27fXGK5x9r1jJ/k7d4T53Zs169X5+VTn51NVUEhlURFVRUVUFhZR2amInYVFVHTpxs4+/agoLmFnSQkVJSVUFJdQVVCwa97q/AKq8/Oozi+I89daVup7URFVhUW6jVSkDgoQWWQVFRSvW7e7fXvtWjqtWxcOxOln2eln4KnvqWni2XbezgryK3aGA3d1daPyUW1GZadOVBV1orJTERVFnags6sTOokIqO5VQ1W2fmgfXwiKqCgupKiygqrCIqoKCMFwQxlXnh+HqgoKQVlBAVUEh1YWFVBYWUh2nCwf2cHD3vDw9CCbSxnT4AFGyejX9Zs/e3XZdVbWrqcOqq3f/ra4OZ8zxe15VFcS/SdPivuv7roN42pl4/o4de/TND+F1jZWdOsWD6+6DbHV+AZWFhewsLKC6oJDK7p13HYQrdx20w4E7dSDfUdKZnZ07U1FSws6Szuzo3DmeORfWOIjrLFpEknT4ANH1ww857PbbE9OqzfC8vD0+1Xl5eF7+rjPf6sT0PNzy8DxjZ0Hymfi27t1DW3eP8IKWrT17sr1rN51Ji0ib0OEDRPlhh/GHaXeyscKpLsjfdeCvzstTH/oi0qF1+ABRXVjI9h492LG9sv6JRUQ6EJ0ii4hIIgUIERFJpAAhIiKJFCBERCSRAoSIiCRqcwHCzD5rZgvN7D0zuzbb+RER6ajaVIAws3zgF8DngBHABWY2Iru5EhHpmNracxBHAe+5+/sAZnY/cAbwTkuuNN+Mwvw2FStFpANo630mtLUAMQhYljZcBhydPoGZTQYmx8HNZlYOrGmd7GVVHzpGOUFlzUUdpZzQPso6rCETtbUAkRRQa/Qp7e7TgGm7ZjCb4+7jWjpj2dZRygkqay7qKOWE3CprW2tXKQOGpA0PBpZnKS8iIh1aWwsQs4EDzWy4mRUB5wOPZzlPIiIdUptqYnL3SjO7EngayAd+7e5v1zPbtHrSc0VHKSeorLmoo5QTcqis5s382kgREckNba2JSURE2ggFCBERSdTmAoSZ/drMVpnZ/LRxU8zsIzObFz+nxPGlZrYtbfztafMcaWZvxS47fmbW9t7jmVTWOP6q2N3I22b2o7Tx18XyLDSzz6SNb9NlbUw5c3GfmtkDaeVZambz0tJyZp9mKmeO7tOxZvb3WJ45ZnZUWlq73KeJ3L1NfYATgCOA+WnjpgBXJ0xbmj5drbRXgU8Qnq34M/C5bJetgWX9JPAM0CkO94t/RwBvAJ2A4cBiIL89lLWR5cy5fVor/SfA9bm4T+soZ87tU+CvqbwCpwDT2/s+Tfq0uRqEu78ArN2bZZjZAKC7u7/iYc/cA3y+OfLXnDKU9WvATe6+I06zKo4/A7jf3Xe4+xLgPeCo9lDWRpYzUXsoJ9T9/xvPGM8Ffh9H5do+BRLLmag9lBMyltWB7vH7Pux+Xqvd7tMkbS5A1OFKM3szVvd6po0fbmavm9kMM5sQxw0iPHSXUhbHtQcHARPMbFYs0/g4PqkbkkG037JmKifk3j5NmQCsdPdFcTjX9mlK7XJC7u3TbwA/NrNlwM3AdXF8Tu3T9hIgbgP2B8YCKwjVV+L3oe5+OPDvwO/MrDsN6LKjDSsAegLHAN8GHoxnZJnK1F7LmqmcubhPUy6g5ll1ru3TlNrlzMV9+jXgm+4+BPgmcGccn1P7tE09KJeJu69MfTezXwJPxvE7gFQTxVwzW0w4My0jdNOR0p667CgDHonV0FfNrJrQ+Vembkjaa1kTy+nuq8m9fYqZFQBnAUemjc61fZpYzhz9nV4M/Fv8/hDwq/g9p/Zpu6hBxPa7lDOB+XF8XwvvkMDM9gMOBN539xXAJjM7Jp6VXgQ81srZbqo/Ap8CMLODgCJCz5CPA+ebWSczG04o66vtuKyJ5czRfQpwEvCuu6c3M+TaPoWEcuboPl0OnBi/fwpINafl1j7N9lXy2h9C1XQFUEGIupcC9wJvAW8SdsCAOO0XgLcJdw28BpyWtpxxhECyGPhf4lPjbemToaxFwG9j3l8DPpU2/X/E8iwk7Q6Itl7WxpQzF/dpHH8X8NWE6XNmn2YqZy7uU+B4YG4s0yzgyPa+T5M+6mpDREQStYsmJhERaX0KECIikkgBQkREEilAiIhIIgUIkVZmZpfX6g1ApE1SgBCph5mdaWZuZoc0w7KuB9a6+7pmyJpIi9JtriL1MLMHgQHAs+4+JcvZEWk1qkGI1MHMugLHER6OOj+Om2hm083sYTN718zuS/Xtb+E9CD8ws9di3/+HxPFdYkeTs2OndWfE8flm9uM4/k0zuzxLRRXZgwKESN0+D/zF3f8BrDWzI+L4wwk9eo4A9iMEkZQ17n4EoZPJq+O4/wCec/fxhHdh/NjMuhACz4Y4fjxwWeyiQSTrFCBE6nYBcH/8fn8chtC/Tpm7VwPzCC/FSXkk/p2bNv5k4FoLb1mbDhQDQ+P4i+L4WUBvQv89IlnXLnpzFckGM+tN6IhtlJk5kE/oovkpYu+kURU1f0s7EsYb8AV3X1hrHQZc5e5PN38JRPaOahAimZ0N3OPuw9y91EPf/0sIHbU11tPAVWnXKg5PG/81MyuM4w+KTU8iWacAIZLZBcCjtcb9AfjnJizrv4BC4E0zmx+HIbxH4B3gtTj+DlSzlzZCt7mKiEgi1SBERCSRAoSIiCRSgBARkUQKECIikkgBQkREEilAiIhIIgUIERFJ9P8BP9bcnusnxYAAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "ax.plot(data.index, data[\"Wages\"], label=\"Salaires\", color=\"red\")\n", + "ax.fill_between(data.index, data[\"Wages\"], alpha=0.3)\n", + "ax.bar(data.index, data[\"Wheat\"], width=5, color=\"grey\", alpha=0.6, label=\"Prix du blé\")\n", + "ax.legend()\n", + "ax.set_ylabel(\"Shillings\")\n", + "ax.set_xlabel(\"Année\")\n", + "ax.set_title(\"Evolution des prix du blé et des salaires des ouvriers \\n en Angleterre entre 1560 et 1820\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Amélioration du graphique de Playfair" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nous proposerons ici une amélioration du graphique de Playfair, en mettant tout d'abord chaque série de données sur un axe des ordonnées différent. Les salaires seront représentés sur l'axe de gauche, et les prix du blé, sur l'axe de droite. Nous proposons aussi de représenter les prix du blé sous une autre forme, en ajoutant à la fois un nuage de points et une ligne représentant une moyenne glissante sur 3 périodes. Nous utiliserons aussi des couleurs adaptées aux personnes différenciant mal les couleurs." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "CB_color_cycle = ['#377eb8', '#ff7f00', '#4daf4a',\n", + " '#f781bf', '#a65628', '#984ea3',\n", + " '#999999', '#e41a1c', '#dede00']" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "prices_ma = data[\"Wheat\"].rolling(window=3).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax1 = plt.subplots()\n", + "\n", + "ax1.plot(\n", + " data.index, \n", + " data[\"Wages\"], \n", + " label=\"Salaires\",\n", + " color=CB_color_cycle[0]\n", + ")\n", + "\n", + "ax1.set_ylabel(\"Salaires \\n (en shillings par semaine)\")\n", + "ax1.set_xlabel(\"Année\")\n", + "ax1.set_title(\"Evolution des prix du blé et des salaires des ouvriers \\n en Angleterre entre 1560 et 1820\")\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.scatter(\n", + " data.index, \n", + " data[\"Wheat\"], \n", + " color=CB_color_cycle[3], \n", + " alpha=0.3,\n", + " label=\"Prix du blé\"\n", + ")\n", + "ax2.plot(\n", + " data.index,\n", + " prices_ma,\n", + " color=CB_color_cycle[3],\n", + " label=\"Prix du blé (moyenne glissante)\"\n", + ")\n", + "ax2.set_ylabel(\"Prix du blé \\n (en shillings par quart de boisseau de blé)\")\n", + "fig.legend(loc=\"upper left\", bbox_to_anchor=(0.12, 0.9))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Analyse de l'évolution du pouvoir d'achat des ouviers au cours du temps" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculons le pouvoir d'achat des ouvriers, défini comme la quantité de blé (en boisseaux) qu'il est possible d'acheter avec une semaine de salaire." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "purchasing_power = data[\"Wages\"] / data[\"Wheat\"] / 4" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,\"Evolution du pouvoir d'achat des ouvriers \\n en Angleterre entre 1560 et 1820\")" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(\n", + " data.index,\n", + " purchasing_power,\n", + " label=\"Pouvoir d'achat\",\n", + " color=CB_color_cycle[1]\n", + ")\n", + "ax.legend()\n", + "ax.set_ylabel(\"Pouvoir d'achat (en boissaux de blé \\n achetés par semaine de travail)\")\n", + "ax.set_xlabel(\"Année\")\n", + "ax.set_title(\"Evolution du pouvoir d'achat des ouvriers \\n en Angleterre entre 1560 et 1820\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nous proposons ensuite une visualisation des salaires en fonction des prix du blé. L'année des données n'apparaît pas directement ici mais elle a été représentée de la façon suivante : plus un point est foncé, plus il représente une donnée récente. Nous représenterons de plus le pouvoir d'achat moyen sur la période par une ligne pointillée verte, et le puvoir d'achat en début de période par une ligne continue violette." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5,1,'Corrélation entre salaires des ouvriers anglais \\n et prix du blé entre 1565 et 1820')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "mean_pp = data[\"Wheat\"].sort_values() * purchasing_power.mean() * 4\n", + "min_pp = data[\"Wheat\"].sort_values() * purchasing_power.iloc[0] * 4\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.scatter(\n", + " data[\"Wheat\"],\n", + " data[\"Wages\"],\n", + " c=data.index,\n", + " cmap='gray_r'\n", + ")\n", + "ax.plot(\n", + " data[\"Wheat\"].sort_values(),\n", + " mean_pp,\n", + " label=\"Mean purchasing power over the period\",\n", + " color=CB_color_cycle[2],\n", + " linestyle=\"--\"\n", + ")\n", + "ax.plot(\n", + " data[\"Wheat\"].sort_values(),\n", + " min_pp,\n", + " label=\"Purchasing power at the beginning of the period\",\n", + " color=CB_color_cycle[5],\n", + ")\n", + "\n", + "ax.set_ylabel(\"Salaires \\n (en shillings par semaine)\")\n", + "ax.set_xlabel(\"Prix du blé \\n (en shillings par quart de boisseau de blé)\")\n", + "ax.set_title(\"Corrélation entre salaires des ouvriers anglais \\n et prix du blé entre 1565 et 1820\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sur les deux graphiques ci-dessus, nous voyons clairement que le pouvoir d'achat tel que nous l'avons défini a progressé sur la période considérée. Le premier graphique nous permet de voir une évolution à la hausse de la quantité de blé qu'il est possible d'acheter avec le fruit d'une semaine de travail. Le second graphique nous montre bien que toutes les années où le pouvoir d'achat est plus haut que sur l'ensemble de la période sont des années récentes, et les années plus anciennes correspondent bien à un pouvoir d'achat plus faible." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}