diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 78860465dc6a9735d8a3ddd543c630a8c0c158d4..9fdb50ed731c1ab158f11dc37a84c034cfe1b1ff 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -6,18 +6,505 @@ "source": [ "# le pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle\n", "\n", - "On utilise le [jeu de données de William Playfair](https://vincentarelbundock.github.io/Rdatasets/doc/HistData/Wheat.html) pour étudier l'évolution du pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle.\n", - "\n", - "## Importation du jeu de données\n", - "\n" + "On utilise le [jeu de données de William Playfair](https://vincentarelbundock.github.io/Rdatasets/doc/HistData/Wheat.html) pour étudier l'évolution du pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle.\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Importation du jeu de données\n", + "\n", + "On importe le jeu de données d'après l'url suivant :" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Unnamed: 0 Year Wheat Wages\n", + "0 1 1565 41.0 5.00\n", + "1 2 1570 45.0 5.05\n", + "2 3 1575 42.0 5.08\n", + "3 4 1580 49.0 5.12\n", + "4 5 1585 41.5 5.15\n", + "5 6 1590 47.0 5.25\n", + "6 7 1595 64.0 5.54\n", + "7 8 1600 27.0 5.61\n", + "8 9 1605 33.0 5.69\n", + "9 10 1610 32.0 5.78\n", + "10 11 1615 33.0 5.94\n", + "11 12 1620 35.0 6.01\n", + "12 13 1625 33.0 6.12\n", + "13 14 1630 45.0 6.22\n", + "14 15 1635 33.0 6.30\n", + "15 16 1640 39.0 6.37\n", + "16 17 1645 53.0 6.45\n", + "17 18 1650 42.0 6.50\n", + "18 19 1655 40.5 6.60\n", + "19 20 1660 46.5 6.75\n", + "20 21 1665 32.0 6.80\n", + "21 22 1670 37.0 6.90\n", + "22 23 1675 43.0 7.00\n", + "23 24 1680 35.0 7.30\n", + "24 25 1685 27.0 7.60\n", + "25 26 1690 40.0 8.00\n", + "26 27 1695 50.0 8.50\n", + "27 28 1700 30.0 9.00\n", + "28 29 1705 32.0 10.00\n", + "29 30 1710 44.0 11.00\n", + "30 31 1715 33.0 11.75\n", + "31 32 1720 29.0 12.50\n", + "32 33 1725 39.0 13.00\n", + "33 34 1730 26.0 13.30\n", + "34 35 1735 32.0 13.60\n", + "35 36 1740 27.0 14.00\n", + "36 37 1745 27.5 14.50\n", + "37 38 1750 31.0 15.00\n", + "38 39 1755 35.5 15.70\n", + "39 40 1760 31.0 16.50\n", + "40 41 1765 43.0 17.60\n", + "41 42 1770 47.0 18.50\n", + "42 43 1775 44.0 19.50\n", + "43 44 1780 46.0 21.00\n", + "44 45 1785 42.0 23.00\n", + "45 46 1790 47.5 25.50\n", + "46 47 1795 76.0 27.50\n", + "47 48 1800 79.0 28.50\n", + "48 49 1805 81.0 29.50\n", + "49 50 1810 99.0 30.00\n", + "50 51 1815 78.0 NaN\n", + "51 52 1820 54.0 NaN\n", + "52 53 1821 54.0 NaN" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_url = \"https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv\"\n", + "data = pd.read_csv(data_url)\n", + "data" + ] }, { "cell_type": "markdown", @@ -25,21 +512,192 @@ "source": [ "## Premier graphique \n", "\n", - "Pour ce premier graphique, l'objectif est de reproduire quelque chose de similaire au [graphique produit par William Playfair](https://upload.wikimedia.org/wikipedia/commons/3/3a/Chart_Showing_at_One_View_the_Price_of_the_Quarter_of_Wheat%2C_and_Wages_of_Labour_by_the_Week%2C_from_1565_to_1821.png). " + "Pour ce premier graphique, l'objectif est de reproduire quelque chose de similaire au [graphique produit par William Playfair](https://upload.wikimedia.org/wikipedia/commons/3/3a/Chart_Showing_at_One_View_the_Price_of_the_Quarter_of_Wheat%2C_and_Wages_of_Labour_by_the_Week%2C_from_1565_to_1821.png). \n", + "On commence par créer les deux premier graphiques bruts :" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Evolution du prix du blé :" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ZvCE8Avw+3Ule6+lnmbGeCXy06/u9wBVD2/9GN54HGfrWfr2PdSXjnOU5HTXOrv0jwC+N2H4m53OlY21tToEfA+7pxnMXcGkLczrqxzNjJalxnhkrSY0z6CWpcQa9JDXOoJekxhn0ktQ4g16SGmfQS1LjDHpJatz/AUF1+eKEYhVGAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.bar(data['Year'],data['Wheat'], 5, color='grey')" + ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "Evolution du salaire hebdomadaire :" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(data['Year'],data['Wages'], color='r')\n", + "plt.fill_between(data['Year'], data['Wages'], color='#539ecd')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "On peut maintenant superposer les deux graphiques, en ajoutant un échelle à droite et les légendes." + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0,0.5,'The price of the quarter of wheat in shillings')" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig1, ax1 = plt.subplots()\n", + "ax1.set_title(\"The price of the quarter of wheat and wages of labour by the week\")\n", + "ax1.bar(data['Year'], data['Wheat'],5, color='grey')\n", + "ax1.set_xlabel(\"Years\")\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.set_ylim((0,100))\n", + "ax2.plot(data['Year'],data['Wages'], color='r')\n", + "ax2.fill_between(data['Year'], data['Wages'], color='#539ecd')\n", + "ax2.set_ylabel(\"The price of the quarter of wheat in shillings\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Amélioration de la présentation des données\n", + "On ajuste les unités du graphique, on remplace shillings par shillings par quart de boisseau de bé ou shillings par semaine." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0,0.5,'Weekly wages (in shillings by week)')" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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BksokbS3pkLiaNOeCucARhHPW+Sn3ZT35TqSZGky/KmbF2cQvyQmE4osZhH86vwfyfRC3E35US4A9gULagn0TeJXQBdUS4KeEe1NzCDc9v0v4ss8BvkWW42FmDcCJhEv3RcBvgbPM7I2UMWQaHC+W9FJrCxcR28mE+ypLCUUzf0vMn0q44f0fQs29lu2Jzgd+KKmOcNK4q5XYVgE/Bp6JRQD7mdnfCcf1L7GoaTLhWKViZm8Sfii/IhzfEwjNKBpSpn8feAl4LZHmOWCWmb2XO+V66xgPfAn4NeE4vkU4ppjZ68DVcZ0LCBVXnkkk/y+havZ8SYuyrLsO+Crh2C4l/DG4P01c0VcIRYXzCfd4b25l+ScImVIm03qacLWQzMCvJVRUWUSoDPGvFus4g9DEZTHwI8JJtj7uT77vZxnhT8dcwu/tEMJ3LJsfETLHVwi/0ZfitIKkPL7z47y5hOK38xK/3wsJf0qnE47V7YQ/u5jZI3HfXyFUaniw0Pii2wkn++nxsXY/zWw14UpxSxK/3Sz7+QYho58ef3t5i1KLPNc+QSiqnp14L+DlxDJnEf4ovE44pvcQb12kPRfE9R8BXKIiOlnINzTJHYQv7qasf19IYbtW8pGLJf2RcPPxe6XeVk/hx8y1N0l3Am+Y2dhWF3YFk/QDYIyZndnZsXQHORt7mtmn4j2QfxOuNJxzvUAsQlpC+If+EcKVVbZ7qq6NYpHhF4DPdHYs3UXe+yxmNt/MdiPcnO0fH3NjubdzrmcaSrgXthL4JfBlM3s5bwpXMElfIhSvPmRmae+/dghJNyk0dp+cmDZIoaOHafF5YGLedyS9JelNSUeXNLZcxYOJYA4h3CCcSSgaHEFoM9SlDrJzzrn2Ielgwp+WW81s5zjtKkLFrSslXUpoAH9JrCB0B6Ey1HDCPfQxiYo/7SpNjbZMx5WHmNnBhEaAvyhFMM455zpfvChZ0mLySYQq+sTnjyWm/8XM6s1sBqEi0z6USJpMqzLW8ALW1kirLFVAzjnnuqQhsdp7pvp7plHx5qzfgPod2t75Qk5pet0eL+kPhG4+IFSHnVCqgApRVlZmNTU1nR2Gc851K6tWrTJCM4OMcWY2rsjVZWsoX2hj6NTSZFpfJgz6+FVCcE8S2ip1upqaGt5///3WF3TOObeWpNVmtlfrS65ngaRhZjZP0jBCH5kQrqySvX5sQRG9m6SVpu/BejO7xsxONrOPm9kvzKy+VAE555zrku5nXY8sZxN6x89M/6TC0DJbAtsSeuQoic4aONE551wXFTuXOBQYrDBi8lhCW727FMYNnE3oRxAze03SXYReMhqBC0pVcxBSVHnvympra82LB51zrjCSVplZbetLdj15iwdjJ4s/K2bFXblxmnPOue6ptR4xmoA9JaUZRqGlPxIG40u6FHjUzLYFHo3viY3TPkkYAfQY4LdKDOHsnHPOQbp7Wi8D90m6m9AbMgBmlrNH4jj/SUmjW0w+iVBOCqFx2uOEkVDXNk4DZkjKNE57LkV8zjnneok0mdYgwhAFhyemGXm60c9jvcZpkpKN055PLJezcZqkc4BzAKqqcg1h5JxzridqNdMys8+1tkw7SN04LTaAGwehIkYpg3LOOde1tJppSRoDXE+4StpZ0q7AiWZW8IBtdJHGac451xkuv/zyrNPHjvWhytJK0/fgjYRhptcAmNkrhEoTxegSjdOcc851T2nuafU1sxdbVCBsbC1RV26c5pxzrntKk2ktkrQ18R6TpFMIg0LmZWafyjHriBzL/xj4cYp4nHPO9VJpMq0LCBUftpf0LmEI7jNKGpVzzjmXRZpMy8zsSEm1QJmZ1cX7Ts4551yHSlMR468AZva+mdXFafeULiTnnHMuu5xXWpK2J3SrtJGkkxOzBgB9Sh2Yc84511K+4sHtgI8CGwMnJKbXAV8qZVDOOedcNjkzLTO7T9KDwCVm9pMOjMk555zLKk0v70d1UCzOOedcXmlqDz4r6dfAnazfy/tLJYvKOedcjyNpC0KPSgcBw4HVwGTgH8BDZtbc2jrSZFoHxOcfJqYZ6/f67pxzzuUk6WbC6B0PAj8l9D3bBxhDGEfx/0m61MyezLeeNL28H9b2cJ1zzvVyV5vZ5CzTJwN/k1QFjGxtJWmutJB0PKH6+9qq7mb2w9wpnHPOuXUyGZakPc1sQnKepBPM7AHgrdbW02rjYkk3AKcDFxLGvToVGFVM0M4553q9GyXtknkj6VPA99ImTtMjxgFmdhaw1MwuB/Zn/bGvnHPOubROAW6RtIOkLwHnAx9JmzhN8eDq+LxK0nBgMeB9DzrnnCuYmU2X9EngXmAO8BEzW91KsrXSZFoPStoY+BnwEqHm4O+LCdY551zvJOlV4hBX0SCgHHhBEma2a5r1pKk9eEV8+dfYQ0YfM1teaMDOOed6tY+2x0pazbQknZVlGmZ2a3sE4Jxzruczs1mZ15I+DGxrZjdL2hTol3Y9aYoH90687kMYefglwDMt55xzBZE0FtiL0Cn7zUAl8CfgwDTp0xQPXthigxsBtxUcqXPOOQcfBz5EuPjBzOZK6p82cZoq7y2tArYtIp1zzjnXYGZGrJQhqbaQxGnuaT3AuhofZcCOwF0FBumcc84B3CXpd8DGsZ3W54Eb0yZOc0/r54nXjcAsM3unsBidc845MLOfSzoKWEG4r/UDM3skbfo097SeaEN8zjnnXEtTATOz/0jqK6m/mdWlSZimeLCO9RuErZ0VNzqgsFidc871VrFI8BxC4+KtCcOV3EComd6qNMWDvwDmE2oMCjgD6G9mVxUTsHPOuV7tAmAf4AUAM5smabO0idPUHjzazH5rZnVmtsLMrgc+UVyszjnnerl6M2vIvJFUQfbSvKzSZFpNks6QVC6pTNIZQFMRgTrnnOsmJF0s6TVJkyXdIamPpEGSHpE0LT4PLGLVT0j6LlATK2TcDTyQNnGaTOvTwGnAgvg4NU5zzjnXA0naHPgqsJeZ7Uzo2PaTwKXAo2a2LfBofF+oS4GFwKvAucA/KWA8rTS1B2cCJxURmHPOue6rgnA1tAboC8wFvgMcGuffAjwOXFLgeg8F/mxmqdtmJRXTI4ZzzrkezMzeJbTRnQ3MA5ab2cPAEDObF5eZB6SuQJHwWWCipOckXSXphEKKGT3Tcs653qdC0vjE45zkzJiJnEQY8Hc4UCvpzPbYsJmdZWZjCBX63gF+QyguTBd4awtIKjczr3jhnHM9R6OZ7ZVn/pHADDNbCCDpb8ABwAJJw8xsnqRhwHuFbjhmfgcBuwCLgF8DT6VNn6ad1luS7gFuNrPXCw3QOedctzMb2E9SX2A1oeHveOB94Gzgyvh8XxHrvhZ4m9Cg+LFYbyK1NMWDuxK63Pi9pOclnSOpTb1glLAqpXPOuTYysxeAewjDh7xKyCvGETKroyRNA46K7wtd92BCJ7l9gB9LelFS6uGuFHqIT7mwdDBwB7AxYYeuMLO3Cgk4VqV8GtjRzFZLuotQ5XFHYImZXSnpUmCgmeWtlVJbW2vvv/9+IZt3zrmSu/zyywtafuzYsSWKJDtJq8ysoCFB2nHbAwgDPh5CKCYcDDxvZmenSd/qlVZsVHyipL8D1wFXA1sRGoP9s8i4M1UpK1hXlfIkQhVK4vPHily3c865rutp4ATgFeB0M9subYYF6e5pTQMeA35mZs8mpt8Tr7wKYmbvSspUpVwNPGxmD0taryplrr6oYi2XcwCqqqoK3bxzzrlOZGa7tiV9mkxrVzNbmWPjXy10gy2qUi4D7i6kKqWZjSOUrVJbW5u+bNM551y3lybT2kzSHcD+QDPwHHCxmU0vcpslq0rpnHMdrdD7V65t0tQevB24CxhKaGR2N6EyRrHWVqWUJEJVyinA/YQqlFB8VUrnnHNdmKRBbUrfWu1BSS+Y2b4tpj1vZvsVvVHpcuB0oBF4Gfgi0I+QOY4kZGynmtmSfOvx2oPOuc5WyiutUtUq7OTag9OAicDNwENWSBV28hQPJnLDx2IV9L8Qxjw5HfhHceEGZjYWaPlp1JNy5ErnnHPd1hjCbaLPA7+SdCfwRzObmiZxvntaEwiZlOL7cxPzDLii8Fidc871ZvHK6hHgEUmHAX8Czpc0CbjUzJ7Llz5npmVmW7ZrpM4553o9SZsAZwKfIYzReCGhTsPuhDoTefOeNLUHnXPOufbyHHAb8DEzeycxfbykG1pL7JmWc86l4FXb2812ZmaSBkjqb2Z1mRlm9tPWEvt4Ws455zrSnpJeJXTjNFnSJEl7pk2cpu/BAyXVxtdnSrpG0qji43XOOdeL3QScb2ajzWwUcAGh+nsqaa60rgdWSdoN+DYwC7i1mEidc871enVmtnbQRzN7GqjLs/x60tzTaozljycB15nZHySl7pHXOeeck7RHfPmipN8RelbKtP19PO160mRadZK+Q6iieLCkcqCysHCdc871cle3eJ/sYCJ1rxhpMq3TgU8DXzCz+ZJGAj9LuwHnnHPOzA5rj/W0mmmZ2XzgmsT72fg9Leecc52g1UxLUh0bXrotB8YD32jDECXOOedcQdIUD14DzCUMUSLgk4RhSt4kVF08tFTBOeecc0lpqrwfY2a/M7M6M1sRRw4+zszuBAaWOD7nnHM9iKRTJfWPr78n6W+JmoWtSpNpNUs6TVJZfJyWmOfD3TvnnCvE982sTtKHgaOBWwjtgVNJk2mdQeiN9z1Cj7yfAc6UVAN8pfB4nXPO9WJN8fl44Hozuw+oSps4Te3B6cAJOWY/nXZDzjnnHPBubFx8JPBTSdUU0A9umtqDmwJfAkYnlzezzxccqnPOud7uNOAY4OdmtkzSMOBbaROnqT14H/AU8B/WXdY555xzxehD7LZJ0iCgHngsbeI0mVZfM7ukqNCcc8659b0EjACWEppRbQzMk/Qe8CUzm5AvcZpyxAclHdfmMJ1zzjn4F6HZ1GAz2wQ4FrgLOB/4bWuJ02RaXyNkXKslrZBUJ2lFm0J2zjnXW+1lZv/OvDGzh4GDzex5oLq1xGlqD/ZvW3zOOefcWkskXQL8Jb4/HVgaRxBpbi1xzkxL0vZm9kaulspm9lIx0TrnnOvVPk0YluRewj2tp+O0ckLNwrzyXWl9g1DVveUYKBB6wji80Eidc871bma2CLgwx+y3WkufM9Mysy/F53YZA8U555yTNAb4Jhu2/U11IZSvePDkfAnN7G/pQnTOOefWuhu4Afg9RbT9zVc8mKvrJgjFg55pOedcDyVpY0LGsjPhnP95wpBUdxKukmYCp5nZ0gJX3WhmqTvIbSlf8eDnil2pK9zll1++wbSxY8d2QiTOOQfAdcC/zOwUSVVAX+C7wKNmdqWkS4FLgUI7n3hA0vnA3wm9YQBgZkvSJM5XPPj1fAnN7Jq0ETrnnOs+JA0ADgY+C2BmDUCDpJNYN/DvLYTumArNtM6Oz8n+Bg3YKk3ifMWD3j7LOed6p62AhcDNknYDJhA6mhhiZvMAzGyepM0KXbGZbdmWwPIVD25YXuWcc64nqJA0PvF+XByVfu18YA/gQjN7QdJ1hKLAokk63Mz+m6uSX9rKffmKB79tZldJ+hVZRig2s6+mjnbDdZfqBp9zzrnWNZrZXnnmvwO8Y2YvxPf3EDKtBZKGxausYYTBgdM6BPgv2Sv5pa7cl694cEp8Hp9nmWKV6gafc865NjKz+ZLmSNrOzN4EjgBej4+zgSvj830FrHNsfG5TJb98xYMPxOdb2rKBlkp8g88551z7uBD4c7ywmA58jtDJ+l2SvgDMBk5Nu7L2qtyXZuTiNrVezqJkN/icc861DzObCGQrQjyiyFW2S+W+NINAtqn1co5tFn2DT9I5wDkAVVVV7RCOc865Umuvyn1pMq02tV7Ook03+GINl3EAtbW1G1QQcc451/VI+mW++Wkr9+WrPTgovmxT6+UsgbX7DT7nnHNd3oT2WEm+K60JhGqIiu+Lar2cQ7ve4HPOOde1tVelvny1B9vUajmfEtzgc84514VJutbMLpL0ANnb/p6YZj1pag+eSmhTVSfpe4RKFFeY2cuFBu2cc67Xui0+/7wtK0lTEeP7Zna3pA8DR8cN3gDs25YNO+ec6z3MbEJ8fqIt6ylLsUyqHDrWAAAgAElEQVSmmvvxwPVmdh/gdc2dc84VTNKBkh6RNFXSdEkzJE1Pmz7Nlda7kn4HHAn8VFI16TI755xzrqU/ABcTKvu168jFGacBxwA/N7NlsQ3Vt1pJ45xzzmWz3MweKjZxq5mWma0i0ftu7GppXrEbdM451/tI2iO+fEzSzwj5SrLt70tp1pPmSss555xrq6tbvE82ezIgVX+2nmk555wrOTM7rD3W45mWc851UZdfnruP2bFjx3ZgJO1H0teAm4E64EZC299LzezhNOlbrQUo6WRJ0yQtl7RCUp2kFW2K2jnnXG/1eTNbAXwE2IzQjd+VaROnudK6CjjBzKa0uqRzrcj1z7G7/mt0zhUs05/tccDNZjZJkvIlSErT3mqBZ1jOOefayQRJDxMyrX9L6g80p02c5kprvKQ7gXtZv3ri33Incc4557L6ArA7MN3MVknahFBEmEqaTGsAsIpQ/phhJNpuOeecc2mYWTPwUuL9YmBx2vRpGhenzgGdc865Uso3cvG3zewqSb8i+9gnqYZGds4559pLviutTOWL8R0RiHM9ideSdC43SeXAEBJ5kJnNTpM238jFD8Tndhki2TnnnJN0ITAWWMC6WoMG7Jomfb7iwXHAr8zs1SzzaoHTgXoz+3OhQfck/o/aOecK8jVgu1gBo2D5igd/C3xf0i7AZGAh0AfYllCj8CagV2dYzjnnCjYHWF5s4nzFgxOB0yT1I/TGOwxYDUwxszeL3aBzzrlebTrwuKR/sH7b32vSJE5T5X0l8Hix0TnnXHeSr5Na1y5mx0dVfBTEe3nvYP6DcK7tsv2O/D5y92BmbToJeqbluh2v/OJc9yPpWjO7SNIDZG/7e2Ka9bSaaUk61czubm2ac851Rf4np8u4LT7/vC0rSXOl9R2gZQaVbZpzzjmXlZlNiM9PtGU9+dppHUvoOn5zSb9MzBoANLZlo12Z/yvLzo+Lc64tYrHgOOBfZramxbytgM8CM83spnzryXelNZfQhdOJwITE9Drg4iJids4513t9Cfg6cK2kJaxr+zsaeBv4tZnd19pK8rXTmgRMknR7y1zROdcxvJZcel4zt2szs/nAt4FvSxrNura/U81sVdr1pLmnNVrS/wE7EnLFTABbFRKwc845B2BmM4GZxaQtS7HMzcD1hPtYhwG3sq4WiHPOuR5KUrmklyU9GN8PkvSIpGnxeWBHx5TmSqvGzB6VJDObBVwm6SlCL73OdVteuaTr8yK/Tvc1wjBVA+L7S4FHzexKSZfG95d0ZEBprrQ+kFQGTJP0FUkfBzYrcVzOOec6kaQtgOOB3ycmnwRkhqu6BfhYG7cxUFKqIUky0lxpXQT0Bb4KXEEoIjy78PDWFwcBGw+8a2YflTQIuJNQk2QmcJqZLW3rdtqL/+MrLa9w4Dqa/6ZbdS2h4kT/xLQhZjYPwMzmSSr4AkbS44Ra6RXARGChpCfM7Otp0qfpMPd/cUNmZp8rNMA8utxlZ3vyH4RzrgurkJQclX6cmY3LvJH0UeA9M5sg6dB23vZGZrZC0heBm81srKRX0iZO043T/sAfgH7ASEm7Aeea2fnFRpy47Pwxod4+hMvOQ+PrWwg9y5c00/KMxTnXSzWa2V555h8InCjpOEKt8QGS/gQskDQsXmUNA94rYtsVMe1pwP8rOHGKZa4Fjgbuh9B+S9LBhW4oyzrb/bLT9Sz+p8K5zmFm3yF010e80vqmmZ0p6WeE20NXxudWGwNn8UPg38AzZva/2BvGtLSJU/XybmZzJCUnNRUUYkJbLzslnQOcA1BVVfBQLM61K89YXS9zJXCXpC8QxsQ6tdAVxM7W7068nw58Im36NJnWHEkHACapilAhY0qhgSa06bIzlruOA6itrd2ge3vnnHPtx8weJw4EbGaLgSPasj5JYwhtf4eY2c6x9uCJZvajNOnTZFrnAdcBmwPvAA8DFxQZb6kvO10X4VcgXYe3R3NdzI3At4DfAZjZK5JuB9on0zKzRcAZbYkwpTZfdjrnnOvy+prZiy1uOaUeOSRN7cFNCb3zjk4ub2afTx9jdu192emcc67LWyRpa+LoxZJOAealTZymePA+4CngP7ShAoZzzjlHuL00Dthe0rvADODMtInTZFp9zazbNvJ1zu+vOdd1xNqCR0qqBcrMrK6Q9GkyrQclHWdm/ywqQueccy6S9PUW7wGWAxPMbGJr6XNmWpLqCGWOAr4rqR5YE9+bmQ3IldY555zLYa/4eCC+Px74H3CepLvN7Kp8ifONXNw/1zznnCuGV793wCbAHma2EkDSWOAe4GBgAlBcppUh6VZCRYynzOyNNofrugw/gWTnPc47V1IjgYbE+zXAKDNbHUv08kpzT+uPwIeBX8U+oiYCT5rZdUUE65xzrne7HXheUqYDiROAO2LFjNdbS5ymcfF/JT0B7E0YS+s8YCdCLxnOOedcamZ2haSHCF36CTjPzDLDpLTakUWa4sFHgVrgOUIx4d5mVkx39M455xxmNl7SbEL/s0gaaWaz06RNUzz4CrAnsDOhWuIySc+Z2epiA3ZtU+i9qELbKRWyvLeB6nh+L9J1Z5JOBK4GhhM6Rh8JvEEowWtVWWsLmNnFZnYw8HFgMXAzsKzYgJ1zzvVqVwD7AVPNbEvgSOCZtInTFA9+BTiIcLU1C7iJUEzonHPOFWqNmS2WVCapzMwek/TTtInTFA/WANcQWiun7onXdbzeXlTXnfe/K8XuxY+lo6YmBi9ezJD58+m7ejUv7rtvZ4fUGZZJ6gc8CfxZ0nu0Zy/vZvazNgTnnHO91kZLlzJm6lSGzp/P0Pnz2XThQiobw/l5Zd/+PL/PAZSp1/VDfhKwGriYUFtwI+CHaROnudJyzrmClLLyT1dXWV/PjlOmsNvEiWw5cyYAdbUDmDFyO8bvchizRmzL9JE7MG/ISLZc9Cx9Gld2bsAd73RCZxXTgFsKTZyv78FqM2u1dbJzzvV6zc2MmjWL3SdOZIcpU6huaGD+ppvzl5PO4an9jmXBZiNg/UEPKWte00nBdrrRwJmSRgPjWdfjUqud5UL+K63ngD0k3WZmn2ljkM45etYVhYOBixez26RJ7DbpFTZevozVfWp4at9jefyA43ljzB4bZFQOzOwHAJJqCAMMfwu4FihPkz5fplUl6WzgAEknZ9nw3woP1znnurfqDz5gx9deY7dJkxg1ezbNEq/suA9PnHYcL+xxBA3VNZ0dYpcm6XuE3jD6AS8D36SAGun5Mq3zCDfJNib0DZVkgGdaznUhfhVXeju9+iofffBB+tTXM3fISP588vk8sf9xLNlkWGeH1p2cTKgt+A/gCeB5M/sgbeJ8Q5M8DTwtabyZ/aHNYTrnXDdVsWYNx/zrX+w5YQJTt9qZP55+MVO32c2L/4pgZntI6k/oiP0o4EZJC8zsw2nSp6k9eJukrxLGOoGQM95gZr32LqJzrvfYZNEiTrn7boYuWMC9x3yGO06+gKaKys4Oq9uStDOhw4pDCINBzqGdigczfgtUxmeAzwDXA18sKFLnXI/T04skd3nlFY5/8EEaKvvwk69ew0u7H9LZIfUEPyVc/PwS+F+hF0BpMq29zWy3xPv/SppUyEZccXr6CaE78c+idx2DsqYmjvvnP9lzwgSmbLsb137pRywePLyzw+oRzOz4tqRPk2k1SdrazN4GiANB9rom3M653qF8zRpOuecetn/zTf5+7FnccfIFNJd7PwxdRZpP4lvAY5KmEwbsGgV8rqRROedKrjddOaVVVV/PJ++4gy1nzuT3n/4W/zryk50dkmshTd+Dj0raFtiOkGm94T1lOOd6mpr33+eMP/+ZofPnc90XL+epAz7a2SH1SJJ2NrPJxaZPdc0bM6lXit2Ic851Zf1XrOAzt97KxsuW87Pzr2L8Hod1dkg92Q2SqoA/ArebWUHjM7Y6CKRzzvVkAxcv5nM33US/uvf50UXXeYZVYrE91hnACGC8pNslHZU2fd4rLUkCtjCzOW0L0znnup7t3niDE++7j6aySi771vW8vdUunR1Sr2Bm02J3TuMJVd8/FPOb77bWRWDeTMvMTNK9hFGLnXOuRyhrbOSoRx5hvxdeYPqo7bjm3P9j/tBRnR1WryBpV0JlvuOBR4ATzOwlScMJHbUXn2lFz0va28z+1+ZonXOuk228dCmn3H03m8+dyz8PP41bT7uIxqrqzg6rN/k18HvCVdXqzEQzmxuvvvJKk2kdBpwnaSbwPqEGoZnZrsXF65xznWOH11/nhPvvx1TOz758JS/snfpWSq8iaQRwKzAUaAbGmdl1kgYBdxLGxJoJnGZmSwtZt5kdnGfeba2lT5NpHVtIQM4519X0X7GCwx99lN0nTeKt0Tvwi3N/woIhIzs7rK6sEfhGLLbrD0yQ9AjwWeBRM7tS0qXApcAlaVYo6VXCCCEbzKKAC6E07bRmSfowsK2Z3SxpU8I4KEUpZQ7unHNJlfX1HPjMM+z/3HOo2fjbcZ/lrpPOpbGyqrND69LMbB4wL76ukzQF2Bw4CTg0LnYL8DgpMy2gXRq+tZppSRpL6Il3O+BmQue5fyIM4lWMds/BnXMuSc3N7D5xIof997/0X7mSZ/Y+kttPvsCvroogaTTwIeAFYEjM0DCzeZI2S7seM5sV13esmT3UYhvnATekWU+a4sGPx4BfihueGzObopQoB3fOOSrr69lhyhT2f+45hi5YwNStd+b/LryIqdt+qLND62oqJI1PvB9nZuNaLiSpH/BX4CIzW6H2GT/s+5Lqzey/cRuXEM797ZZpNcSq7xY3UFtspC21Vw7unOvFmpsZNWsWu02axI6vv051QwNzh4zg6vN+wnN7f8QHasyu0cz2yreApEpChvXnRNupBZKGxXP0MOC9IrZ9IvCgpG8BxwDbx2mppMm07pL0O2BjSV8CPk+ortgmxebgks4BzgGoqvJyaed6q8ELF7Lz5MnsOmkSA5ctY3WfGp7a91geP+B43hizh2dWbRAb+v4BmGJm1yRm3Q+cDVwZn+8rdN1mtkjSicB/gAnAKWaWrYJGVmkqYvw8drGxgnBf6wdm9kihgSa1JQePl7DjAGpra1PvqHOu+9tk0SJ2eu01dnztNYa89x7NEq/usDe3nno8L+xxBA3VNZ0dYk9xIGHA31clTYzTvkvIrO6S9AVgNnBq2hVKqmP92oNVwFbAKZLMzAakWU+aihg/NbNLCC2XW04rWClzcOdcz9Ovro7dJ05kp8mTGbpgAc0Sb26zG/844kye2/NIlg4a0tkh9jhm9jShKno2RxS5zqLrQiSlKR48ig0rRBybZVpa7Z6DO+d6GDNGz5jBXuPHs/0bb1De3Mwb2+zKQ4edwXN7HcGSQUM7O0JXpHjhcgawpZldEZtBDTOzF9Okz5lpSfoycD6wtaTksCT9gWeKDbgUObhzrmfos3o1u02cyF7jxzN48WJW1vbnH0d+iocP/Tjzh27Z2eG59vFbQhvdw4ErgJXAb4C90yTOd6V1O/AQ8H+ENlMZdWa2pKhQnXOuhYGLF7Pd1KlsO3Uqo2bNory5malb7cRfTvoKz+7zERqq+nR2iK597Wtme0h6GcDMlsbxtVLJmWmZ2fJ442yXTKMw55xrq/I1axgxZw7bTpvGmKlTGbx4MQBzhm/J/Ud/hmf3PpIZo3fs5ChdCa2RVE6slBF7WWpOm7i1oUmaJU2SNNLMZrctTudcb6SmJobPm8eW06ez5YwZjJgzh8rGRhrLK5i8/Z7c/5GzGb/bwby32YjODtV1jF8CfweGSPoxcArQau/uGWkqYgwDXpP0IqGXdwDMLHVjMOdc71DW1MQmixYxdP58hs6fz5AFC9j83XfpU18PwKwttuHfh53KqzvsxWvb7c0HNe3WV4HrJszsz5ImEOowCPiYmU1Jmz5NpnV5scE553qu6g8+YMiCBesyqPnz2XThQiobGwFoqKhkzuZb89R+xzF5uz14dcf9WDFgUCdH7bqIwcCqTCfskrY0sxlpEqZpXPxEm8NzznVPZvRdtYpNFi9e91i0iCELFjBo6bpBGJb335hZI8bwv12PYNaIbZg+cgfmDhtNc3ma/8WuN2lrJ+xpGhfvB/wK2IHQgrkceD9t62XnXNelpib619UxYMUKNlqxggHLlzNgxYrwfvlyBi1ZQs0HH6xdvrG8ggWbbs6UbfZi1ohtmDFiDDNG7cCyjQZ7t0kurTZ1wp7mb9CvgU8CdxNyx7OAbQuP0znXGSrr6xny3nsMnT+fQYsXr82Q+tfV0b+ujrIW3b6trq5h8aAhLBo4gslj9mfekBG8O3QUc4dtycJNhvnVk2urNnXCnurbZ2ZvSSo3sybgZknPFhGoc67Eypqa2GLOHEbNns2Q+fMZMn8Bg5YuWZsxfVDVh8WDNmPxwOFMGzUkvt6MRYOGsmiTYSweNIRVNf38qsmVUrZO2G9MmzhNprUqNvyaKOkqwlhYXuXHuS5io6VL2ebtt9n6rbfYcsaMtTX15m+6OW+N3pVZB23LjBFjmDlqexYNGuoZkutUbe2EPU2m9RnCfayvABcDI4BPFBGrc64dVDQ0MHrWLLZ+6y22eettBi9eBMDCTYbw5H7HM2mnfXh1x/1Y1bdd+id1rl1IuojQBeDLMZMqarSQNLUHM71hrMarvzvXKQYvXMg206axzVtvMXL2bCobG2morOK17fbkgaM+w8u7HMDcoVv6VZTryrYArgO2j/3ZPkvIxJ4rpGvANLUHZ7D+GCgAmNlW6WN1zhWq78qV7PLqq+w+cSJDFywA4J1ho/nX4acxcad9mbLdXt4vn+s2zOybAPF2017AAcT7WZKWmVmqvrvSFA8mh2TuQxgyxFsIOlcCZY2NjJk6ld0mTWLbadMob27m7VHbc9OnzuTFDx3KosHDOztE59qqBhgAbBQfc4FX0yZOUzy4uMWkayU9DfyggCCdc7mYMWzevLUDHdauWsXSjTbhwY98msf3P545I8Z0doTOtZmkccBOQB3wAqF48BozW5o3YQtpigf3SLwtI1x5+R1e59qoX10du7zyCrtPnMhmCxeypqKS/+1+CI8feBwTdz7Q20O5nmYkUA1MA94F3gGWFbqSNL+KqxOvG4GZwGmFbsi53qyssZFNFy1iSOynb9i8eYyYM4fy5mbe3Hpn7j3m8zyz99G832+jzg7VuZIws2PiqMU7Ee5nfQPYWdISQmWMsWnWk6Z48LA2RepcL9Nn9eq1mVOmp/NNFy6koqkJgPrKamZvsTX3HXMWjx94PHOHeZ0m1zuYmQGTJS0DlsfHR4F9gPbJtCR9vZUgrkmzIed6FDNqVq1icKIj2cELFzJkwQIGLltX4rF0wCBmjRzD8x/6CLNGbMv0kdszf+gomsvKOzF45zqepK8SrrAOBNYQq7sDN9GeFTEI97D2Bu6P708AngTmFBCvc92KmpupXblybSeyG8VOZAcsX762I9m+q1evXb6xvIL5m23B5O32ZdYW2zBj5BhmjtyB5Rtt0ol74VyXMhq4B7jYzOYVu5I0mdZgYA8zqwOQdBlwt5l9sdiNOldSzc1UNDVRuWYNFWvWULlmDZWNjeE5x7R+K1cmejivo3/dCsqb1x8BvL6ymsWDNmPRoOG8tu1+zBsygrlDRvLu8K28I1nnWmFmeUvt0krzKxsJNCTeNxByTOeyM6OsqYnypiYqmpoob2ykorGRiqYmKhob174vb2qirLmZ8ubmsHx8rmxsXJexZDKXhgaq6+vXPqri+6qGBsqbmilrblq7vpa9lqfRUFnF4oGbsXjQUKaP2IUlG28aejofNIRFg4axeNBQVtYO8B4nnOtkaTKt24AXJf2d0DPGx4FbShqVa1dqaqJPfT3VH3xAZcw01stQmpqoWLOGqkwm0dBAZXyfyTwqElcllWvWhPSNyQxpXUaUGbm2PTRLNFRVU1/Vh9V9allV04+6mk1ZPaiW1X1q+aC6hqbychrLK2gqr6CprJymigrWVFTRUFVNQ1U1H1TV0FDVh/qqPtRX1dBQHV43VFbTUB2evWdz57qHNLUHfyzpIeCgOOlzZvZyacPqZczos3o1A1asoN/KlWuvSsqzPWe5YslkKBWJ91UNDfT5oJ4+H3xA1ZqG1mPIor6yeu3JPpMB1FfVsqq2mobKahorK0PmUFnFmsoqGisqaawI09ZUVNJYWUVjeQVrKqtoqKhmTVyuobKaNZXVNFZU0lxWTmNFyHAyGU9DZZ+1GVVjRaVnJs65tdKOp/UScZTJnqZ8zRr6rl69rngqWVQVHzJDsdgp87x2XmK5TNFUy+UrGhvX3j9JFntlBuEbsGJFQVcnjeUViYyiKmYu1ayp7MP7fUKG8kF1Datq+rGqppZVffuH55p+fFBdQ2N55dq0mcymvqqG+uo+a58bKquxsrISHnnnnCtcr79zvNX06Xz6jjs6ZFsNFZU0VK27ili20Sa8s812LBm4abiHMnAzlm68GfXVfVhTsf6VS2NFyGjWVFR5ZuKc67V6faa1YMgQbjv9HJb3HUpzWVkspqqkqaKcprIKmsvKaS4ri8/rXjeVV4Tly8ppKi9ff77KEmnKWFMZisa8bY5zzrVNqkxL0ihgWzP7j6QaoCJTBb67W7Hxxrwx+kAWD/BeCZxzrqtrtZxJ0pcIDcJ+FydtAdxbyqCcc865bNLcHLmA0O3GCgAzmwZsVsqgnHPOuWzSZFr1Zra2zrSkCrKMZOycc86VWppM6wlJ3wVqJB0F3A08UNqwnHPOuQ2lybQuBRYSeuE9F/gn8L1SBuWcc85l02qmZWbNZnajmZ1qZqfE1yUrHpR0jKQ3Jb0l6dJSbcc551xuXfVcnKb24IGSHpE0VdJ0STMkTS9FMJLKgd8AxwI7Ap+StGMptuWccy67rnwuTtNO6w/AxcAEoKm04bAP8JaZTQeQ9BfgJOD1Em/XOefcOl32XJwm01puZg+VPJJgc9YfXPIdYN8O2rZzznUYU5fujq3LnotzZlqS9ogvH5P0M+BvQH1mfuxEt71l6857vftnks4BzsnMk7QGaNNYGOVVNWWVtf27dh9LRhmiufUFe4Desq++nz1PIftqxgfLF62hyCoCl112WVHpohpJ4xPvx5nZuMT7Vs/FnSXfldbVLd7vlXhtwOHtHw7vACMS77cA5iYXiAd27cGVNN7MkrH1SL1lP6H37KvvZ8/Tg/a11XNxZ8mZaZnZYQCStsqUa2ZIKlVHff8DtpW0JfAu8Eng0yXalnPOuey67Lk4TaHqPVmm3d3egQCYWSPwFeDfwBTgLjN7rRTbcs45l11XPhfnu6e1PbATsJGkkxOzBgB9ShWQmf2T0IA5rXGtL9Ij9Jb9hN6zr76fPU+P2dcizsUdQrnaCUs6CfgYcCJwf2JWHfAXM3u29OE555xz6+TMtNYuIO1vZs91UDzOOedcTmm6cerQDEvSTZLekzQ5Me0ySe9Kmhgfx8XpoyWtTky/IZFmT0mvxi5IfikpWxXOTpVtX+P0C2P3Ka9Juiox/Ttxf96UdHRiepfe10L2szt/pjm+u3cm9mWmpImJed3y84TC9rUHfqa7S3o+7st4Sfsk5nXbz7TbMLMu9QAOBvYAJiemXQZ8M8uyo5PLtZj3IrA/ob3BQ8Cxnb1vKff1MOA/QHV8v1l83hGYBFQDWwJvA+XdYV8L3M9u+5lm288W868GftDdP88i9rVHfabAw5k4geOAx3vCZ9pdHjmvtCR9LT4fmGuZUjCzJ4ElbVmHpGHAADN7zsI35lbC/bkuJce+fhm40szq4zLvxeknEe4l1pvZDOAtYJ/usK8F7mdW3Xg/AYj/rE8D7oiTuu3nCQXva1bdYV9z7KcRKqQBbMS69kvd+jPtLvIVD34uPv+qIwJJ4SuSXomX6wMT07eU9LKkJyQdFKdtTmgcl/FOnNYdjAEOkvRC3Ke94/Rs3apsTvfd11z7CT3vMwU4CFhgYeRv6HmfZ1LLfYWe9ZleBPxM0hzg58B34vSe/Jl2Gfl6xJgiaSawqaRXEtMFmJntWtLI1nc9cAXhH84VhKKHzwPzgJFmtljSnsC9knaiC3dBkkIFMBDYD9gbuEuhMXeufequ+5prP3viZwrwKda/8uhpn2dSy33taZ/pl4GLzeyvkk4jdCp+JD37M+0y8vWI8SlJQwmNy07suJCyxrIg81rSjcCDcXo9sT9EM5sg6W3CP/h3CN2OZHSZLkhSeAf4WyxGeFFSMzCY3N2qdNd9zbqfZraQHvaZSqoATgb2TEzuaZ8nkH1fe+Dv9Gzga/H13cDv4+se+Zl2NXlrD5rZfDPbjfBPqX98zDWzWR0RXEYsE874ODA5Tt9UYdyXTNdS2wLTzWweUCdpv1i+fhZwX0fG3Ab3Evt1lDQGqAIWEdrKfVJStULXKtsCL3bjfc26nz30Mz0SeMPMkkVEPe3zzNhgX3vgZzoXOCS+PhzIFIP21M+0a2mtpgbhw5kFPAE8CcwADi5VzRBCscI8YA3hH8oXgNuAV4FXCF+MYXHZTwCvEWrsvASckFjPXoTM7W3g18Q2aV3pkWNfq4A/xdhfAg5PLP//4v68SaL2UVff10L2szt/ptn2M07/I3BeluW75edZ6L72tM8U+DBhfMFJwAvAnj3hM+0ujzSNiycAnzazN+P7McAdZrZn3oTOOedcO0vTYW5lJsMCMLOpQGXpQnLOOeeySzNy8XhJfyAU0QGcQbg0ds455zpUmuLBauACQjmuCPe1fmuxUahzzjnXUVrNtJxzzrmuIs09Leecc65L8EzLuVYoeFrSsYlpp0n6V2fG5VxvlLp4UFKtmb1f4nic65Ik7Uzo/eBDQDkwETjGzN5uwzorLAxr7pxLqdUrLUkHSHodmBLf7ybptyWPzLkuxMwmAw8AlwBjgVvN7G1JZ0t6UWFspd9KKgOQNE5hrKXXJP0gsx5J70j6vqRngI9LurSjUxQAAAMISURBVFjS65ImSfpTp+ycc91ImirvvwCOJvREgZlNknRwSaNyrmu6nNCjQwOwV7z6+jhwgJk1ShoHfBK4HbjUzJbEvvgek3SPmb0e1/O+mR0IIGkeMMrMGiRt3OF75Fw3kybT+v/t3c+LTXEYx/HPR5NQpvzayI8SKSEpFpZSUsqKsmVjxcqOhYWFhT+BUlJTSspy2Igku8ESY7ZCBqWJj8X3XHNw73EW7jE371fduud27unZ3J5zvvf5Po+SzPjnQZtfhxMOsHAl+WR7QtLHJF9sH1DpUP+k+n0s1fxoiuO2T6r8xtaqDAjsJa2J2mWfSbpu+7ZKP0YADdokrRnb+yTF9mJJp1UtFQL/oW/VSyr7Fq8mOV8/wfYWlS7ge5O8r5b9ltROqf83fFClv+cRSedsb0/CTSEwQJvqwVMqm4t7g8x2VcfA/25S0jHbqyXJ9irbG1Sm2s5K+lBNKDjY78tV5/N1Se5JOitpjaRlnUQOjKg/PmkleaPSuglATZIp2xckTVYFGHMqN3lPVJYCn0p6IenBgEuMSbphe7nKDeSlJLPDjxwYXW3aOF2TdCbJ++p4haTLSU50EB8AAD+0WR7c2UtYkpTkncpeFQAAOtUmaS2qnq4kSbZXqmXVIQAAf1Ob5HNZ0kPbN6vjo5IuDi8kAAD6a9XGyfY2SftVSnzv1jZJAgDQmYFJy/Z4kg/VcuBvkrwdamQAAPyiKWndSXLY9ktJ9ZMsKUk2dREgAAA9jcuDLr1p1id53V1IAAD011g9mJLRbnUUCwAAjdqUvD+yvWfokQAA8AdtOmI8l7RV0iuVRp+9/7R2Dj06AABq2iStjf0+TzI9lIgAABhg4OZi20tUmn9uljQl6QqjwQEA/1JTyfuEStfq+5IOSZpOcqbD2AAA+ElT0ppKsqN6PybpcZLdXQYHAEBdU/XgXO8Ny4IAgIWg6Unrq+bHglvSUkmfNV89ON5JhAAAVFo1zAUAYCFos7kYAIAFgaQFABgZJC0AwMggaQEARgZJCwAwMkhaAICR8R3yNbbtPQOShAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig1, ax1 = plt.subplots()\n", + "ax1.bar(data['Year'], data['Wheat'],5, color='grey')\n", + "ax1.set_title(\"The price of the quarter of wheat and wages of labour by the week\")\n", + "ax1.set_xlabel(\"Years\")\n", + "ax1.set_ylabel(\"Price of the quarter of wheat (in shillings by quarter of wheat)\")\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.set_ylim((0,100))\n", + "ax2.plot(data['Year'],data['Wages'], color='r')\n", + "ax2.fill_between(data['Year'], data['Wages'], color='#539ecd')\n", + "ax2.set_ylabel(\"Weekly wages (in shillings by week)\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, "source": [] }, {