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9ab0353db4f699d569c124bdcadf5c70
mooc-rr
Commits
109f79a1
Commit
109f79a1
authored
Jan 30, 2025
by
9ab0353db4f699d569c124bdcadf5c70
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exemple analyse du prix immobilier
parent
df594fa1
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exercice.ipynb
module2/exo4/exercice.ipynb
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module2/exo4/exercice.ipynb
View file @
109f79a1
{
"cells": [],
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Statistiques descriptives :\n",
" Année_construction Nombre_pieces Prix_k€ Surface_m2\n",
"count 100.000000 100.000000 100.00000 100.000000\n",
"mean 1983.410000 3.160000 831.61000 125.080000\n",
"std 19.799549 1.447534 409.84912 48.530253\n",
"min 1951.000000 1.000000 116.00000 21.000000\n",
"25% 1965.750000 2.000000 505.25000 85.500000\n",
"50% 1983.500000 3.000000 871.00000 133.500000\n",
"75% 1999.250000 4.000000 1169.75000 166.000000\n",
"max 2022.000000 5.000000 1498.00000 199.000000\n"
]
},
{
"data": {
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a5zyMV8q0N8vxit23+9OuHWDcDLw2QO/iVW07Ga+tC8653+NdVP6KV8d61SCW3ddivAt4M97Fovci5ZxrBj6Ld7HdgdfL3in+4EFvX+fcS3gNb/8v3nZ6Ey/DEvF9vBP+bjNbPFCwfkbmTLweu97C+7f4HrySwHj+G/gO3vabiVc1b6/MbDLejVO1c67FOfffwEvAHXEm+T941TB24P2jfV9U3M3AaXj787v+OJFG2CPSII/H3+Dte6/g3aj8YojL2Nu+ITLi7cM1cwfe/v4uXqcRlzvnNvnDrgD+zT+v3oTXBmagZbcCtwDP++fQ2f2MdjPen0O7rU/vpc65MHAW8Dm88+lP8c55m/aYy144514D/gXvnPuev47RD64d6LpxEN41tAmvStkz7HnjH+2/8f7k3Oq/BvXwX/9G/wy8qpcAVwHHWlRveVHrEwa+gHdOasSrrv/rqOGj8fy1BO869le8NmgvE7vtBto3B2s491+SRBZb3VVEZN+Y94DeoEvigz5FRAbLLyH6pXOuPN2xjFZmVofXCdAf0h2LyGiiEiwREREREZEEUQZLREREREQkQVRFUEREREREJEFUgiUiIiIiIpIgWekOIFnKyspcRUVFypYXCoUoKCjY+4gjkGJPD8WeeqM1blDsEevXr693zvX78PWRJNXXoMEazftRhNZh5BgL6zEW1gHGxnqMhnUY7DVozGawKioqeOmll1K2vJqaGqqqqlK2vERS7Omh2FNvtMYNij3CzN5OyIySLNXXoMEazftRhNZh5BgL6zEW1gHGxnqMhnUY7DVIVQRFREREREQSRBksERERERGRBFEGS0REREREJEHGbBus/nR2dhIMBmlvb0/4vA844ABef/31hM83FfYl9tzcXMrLy8nOzk5SVCIiIiIio89+lcEKBoMUFRVRUVGBmSV03s3NzRQVFSV0nqky1NidczQ0NBAMBjn00EOTGJmIiIiIyOiyX1URbG9vp7S0NOGZq/2NmVFaWpqUkkARERERkdFsv8pgAcpcJYi2o4iIiIjInva7DJaIiIiIiEiyKIOVYpmZmcyYMYNPfvKTHHvssbzwwgvDmt/NN9/M0qVLExSdiIiIiIgMx37VycVIkJeXxyuvvALAk08+yXXXXcczzzwzqGm7u7vJzMxMZngiIiIiIjIMKsEawNqtDVyxYj3z7nqOK1asZ+3WhoTOv6mpiZKSEsDrme/qq69m2rRpTJ8+nV/96lcA1NTUcMopp/DFL36R6dOnA3DLLbfwiU98gs985jO88cYbvfP729/+xhlnnMHMmTM58cQT2bRpEwCPPvooxx9/PMcccwyf+cxneP/994E9S7+mTZtGXV0dtbW1HH300bS3txMKhTjqqKN49dVXE7ruIiIiIiJjkUqw4li7tYElqzaSH8hiQmEO9c1hlqzayI3zpjL7sNJ9nm9bWxszZsygvb2d9957jz/96U8A/PrXv+aVV17hL3/5C/X19VRWVnLSSScBsG7dOl599VUOPfRQ1q9fz8qVK/nzn/9MV1cXxx57LDNnzgRg0aJF3H333RxxxBG8+OKLXHHFFfzpT39i7ty5rF27FjPjnnvu4Qc/+AE//OEP48ZYWVnJWWedxY033khbWxv//M//zLRp0/Z5nUVERERE9hfKYMWxfE0d+YEsinK9TRR5X76mblgZrOgqgmvWrKG6uppXX32V1atXc8EFF5CZmcmBBx7IySefTG1tLcXFxcyaNav3eVPPPfccn//858nPzwfgrLPOAqClpYUXXniB8847r3dZHR0dgPf8r/PPP5/33nuPcDg8qGdX3XTTTVRWVpKbm8udd965z+srIiIiIrI/UQYrjm27WplQmBOTVpCTybZdrQlbxpw5c6ivr+eDDz7AORd3vIKCgpjv/XWR3tPTw7hx43ozb9GuvPJKrrrqKs466yxqamq4+eabAcjKyqKnp6d3vOjnWu3atYuWlhY6Oztpb2/fIwYREREREdmT2mDFMXl8PqGO7pi0UEc3k8fnJ2wZmzZtoru7m9LSUk466SR+9atf0d3dzQcffMCzzz7LrFmz9pjmpJNO4pFHHqGtrY3m5mYeffRRAIqLizn00EP5n//5H8Br0/WXv/wFgA8//JBJkyYB8MADD/TOq6KigpdffhmAl19+mbfeeqt32KJFi/je977HwoULueaaaxK2ziIiIiIiY5lKsOKonlPBklUbAa/kKtTRTWu4i+o5U4Y130gbLPAyQQ888ACZmZl8/vOfZ82aNXzyk5/EzPjBD37AQQcd1NtRRcSxxx7L+eefz4wZMzjkkEM48cQTe4etWLGCr371qyxZsoTOzk4WLFjAJz/5SW6++WbOO+88Jk2axOzZs3szUueccw7Lly/nhBNO4Pjjj2fKFG/dli9fTlZWFl/84hfp7u7mU5/6FH/605849dRTh7XuMnShdbU0rlhBZ/AdsssPpmThQgpmVaY7LBERERGJQxmsOGYfVsqN86ayfE0d23a1Mnl8PtVzpgyr/RV4Xa33x8y4/fbbuf3222PSq6qqqKqqikm74YYbuOGGG/aYx6GHHsoTTzyxR/r8+fOZP3/+Hul5eXk89dRTNDc3U1RU1JteUVFBdXU14D2368UXX9zreknihdbVsvO2W7G8fDJLy+hqaGDnbbcy8ZprlckaZdZubehzLqkY9rlEREaHL3zhy9TV7YxJu+yy+Vx1VfzOpgajomIiv/71L4Y1Dxnb+tv3EkX738CUwRrA7MNKdRMkadO4YoWXuSosBCCzsJBuP10ZrNEjWT2SisjoUFe3k0mTHo1Jy86u2SNt6PM9c1jTy9jX376XuHlr/xuIMlgyou3P//x3Bt8hs7QsJi0jP5/OYDBNEcm+SFaPpCIiIjIyqZMLGbEi//zXN4dj/vlP9AOfR6rs8oPpaY3ttbKntZXs8vI0RST7YtuuVgpyMmPSEt0jqYiIiIwcymDJiBX9z3+GGUW5WeQHsli+pi7NkaVGycKFuLZWultacD093ntbKyULF6Y7NBmCVPRIKiIiIiOHMlgyYu3v//wXzKpk4jXXklVaSndDA1mlpergYhDWbm3gihXrmXfXc1yxYn3aSzyr51TQGu6iub2LHudobu/yeyStSGtcIiIikhxqgyUj1uTx+dQ3h3vbrMD+989/waxKZaiGYCR2KJGsHklFRERkZFIJVooV+j3CRbv77rtZvnw5ABdddBEPP/ww4HXR/tJLL6U0vpFE//zLUI3UaqWzDyvlpwtnsurKE/npwpnKXImIiIxhKsEaAS6//PJ0hzAi6Z9/Gaptu1qZUJgTk7Y/VSsVERGR9FMGayB1q2HdMmh8G0oOgVmLoGJuwhdz8803U1hYyOLFi+OO89RTT/Gd73yHjo4ODj/8cO67775+S8PGGj2LTIZC1UpFREQk3VRFMJ661fDkDRCqh8KJ3vuTN3jpKVZfX8+SJUv4wx/+wMsvv8xxxx3Hj370o5THITLSqVqpiIiIpJtKsOJZtwwCBZBT5H2PvK9blpRSrIGsXbuWjRs3csIJJwAQDoeZM2dOSmMYTbZvbmRDTZCm+naKy3KZXlXOpCkl6Q5LUiCZ1Uq1X4mIiMhgKIMVT+PbXslVtECBl55izjk++9nP8uCDD6Z82aPN9s2NPP/wFrIDmeQXZ9PWFOb5h7dwwrlH6GZ4P5GMaqXar0RERGSwVEUwnpJDIByKTQuHvPQUmz17Ns8//zxvvvkmAK2trWzevDnlcYwGG2qCZAcyCeRlYWYE8rLIDmSyoSaY7tBkFNN+JSIiIoOlDFY8sxZ5GaqOZnA93ns45KUPQ2trK+Xl5b2vwbSlmjBhAvfffz8XXHABRx99NLNnz2bTpk3DimOsaqpvJzs39uHE2bmZNNW3pykiGQu0X4mIiMhgqYpgPBVz4fRbYnsRPOX6Ybe/6unpGXD4/fff3/u5pqam9/Opp55KbW3tsJa9Pyguy6WtKUwg76Ndu7O9m+Ky3DRGJaOd9isREREZLGWwBlIxN+UdWsjwTK8q5/mHtwBeCUNnezed4W5mVZWnOTIZzbRfiYiIyGCpiqCMKZOmlHDCuUeQVxygtamTvOKAOiKQYdN+JSIiIoOlEiwZcyZNKdGNrySc9isREREZDJVgiYiIiIiIJIhKsJIk3N5FW3OY7i5HZpaRVxQgkKvNLSIiIiIylumOPwnC7V20NHZgBhmZRk+3o6Wxg8ISlMkSkcSqWx3b2+msReqcR0REJI2SVkXQzO41s51m9mo/wxabmTOzsqi068zsTTN7w8xOj0qfaWYb/GF3mpklK+ZEaWsOYwaW4YVqGYZZJN340pe+1DtuV1cXEyZMYN68eUmN6dJLL2Xjxo0AVFRUUF9fD0BhYeE+za+lo4uGUJh5dz3HFSvWs3ZrQ8JiFRnNtm9u5IllG3jo32t5YtkGtm9uTN7C6lbDkzdAqB4KJ3rvT97gpYuIiEhaJLMN1v3AGX0Tzexg4LPAtqi0qcAC4Ch/mp+aWeSpnv8JLAKO8F97zHOk6e5yvZmrCMswurscBQUFvPrqq7S1tQHw+9//nkmTJg1p/l1dXUOO6Z577mHq1KlDnq4/LR1dvLe7jZ4ex4TCHOqbwyxZtVGZLNnvbd/cyPMPb6GtKUx+cTZtTWGef3hL8jJZ65ZBoAByisAyvPdAgZcuIiIiaZG0DJZz7llgVz+D7gC+BbiotPnASudch3PuLeBNYJaZfQwods6tcc45YDlwdrJi7qt2Ry3frPkm5z96Pt+s+Sa1Owb3oN/MLMP1uJg01+O1xQL43Oc+x2OPPQbAgw8+yAUXXNA73rp16/jUpz7FMcccw6c+9SneeOMNwHsA8XnnnceZZ57JaaedxnvvvcdJJ53EjBkzmDZtGs899xwATz31FHPmzOHYY4/lvPPOo6WlBYCqqipeeumlAeO+/fbbqays5Oijj+Y73/lO3PEaWjrIMCPDIMOMotws8gNZLF9TN6jtIzJWbagJkh3IJJCXhZkRyMsiO5DJhppgchbY+LaXoYoWKPDSRUREJC1S2iDIzM4Ctjvn/tKnpt8kYG3U96Cf1ul/7pseb/6L8Eq7OPDAA6mpqYkZfsABB9Dc3DyoWP/8wZ+5c8Od5GXmMS57HDtbdnLbi7fxtelf45gJx+wxfnd3d++8LeCg2+EA46OcpGV663zmmWdy2223cfLJJ/PKK6+wYMECnn76aZqbm5k0aRKPPfYYWVlZPP3003zrW9/il7/8Je3t7bzwwgu88MILjB8/nrvuuouqqiquvvpquru7aW1tpa6uju9+97s88sgjFBQUcMcdd/D973+fa6+9lu7ubkKhEM3NzTjnaGlpIScnpzf2//3f/2Xjxo388Y9/xDnH+eefzxNPPMEJJ5ywx7rmWzeWbezK6OGkog8AcEXQ1d2zxzZPtpaWlpQvM1EUe+olO+624lYySozoMuYMoK3bUVMzvBLefmOfeDH0dHmlVxGuB/KzYAT9PqN1fxEREdkXKctgmVk+cANwWn+D+0lzA6T3yzm3DFgGcNxxx7mqqqqY4a+//jpFRUWDivc3639DYaCQwoDXRumA7APIDGfym22/4aTDTtpj/Obm5ph5D9SL4Jw5cwgGg6xatYp58+aRn59PVlYWRUVF7N69m0suuYQtW7ZgZnR2dlJUVERubi6nnXYahxxyCABz587lkksuISMjg7PPPpsZM2awatUq3njjDc44w6tFGQ6HmTNnDkVFRWRmZlJQUEBRURFmRmFhYW+8mZmZrF69mqeffpqTTvLWraWlhe3bt/e7vXY1hOjqcnT0ZPBs8wRv/du7KCsKcGnVzEFt30Spqamh7+88Wij21Et23E8s20BbU5hA3ken1nBbF3nFAaoWTB/WvPuNPdIGK1DgvcIh73X6LSOqo4vRur+IiIjsi1SWYB0OHApESq/KgZfNbBZeydTBUeOWA+/66eX9pCddsDlIWV5ZTFpBdgHBlsFV9QnkZg3YY+BZZ53F4sWLqampoaHho3+2v/3tb3PKKafwyCOPUFdXF3NTUlDwUVWgk046iWeffZbHHnuML33pS1x99dWUlJTw2c9+lgcffHCQa/kR5xzXXXcdX/nKV/Y6bmlhjtcGy0GPc4QsLfH4AAAgAElEQVQ6umkNd1E9Z8qQlytjV2hdLY0rVtAZfIfs8oMpWbiQglmV6Q4rqaZXlfP8w1sAyM7NpLO9m85wN7Oqyvcy5T6qmOtlpqJ7ETzl+hGVuRIREdnfpOxBw865Dc65ic65CudcBV7m6Vjn3A7gt8ACM8sxs0PxOrNY55x7D2g2s9l+74HVwG9SEW95UTmhzlBMWqgzRHlhYm6ULrnkEm666SamT4/9V/vDDz/s7fTi/vvvjzv922+/zcSJE7nsssv48pe/zMsvv8zs2bN5/vnnefPNNwFobW1l8+bNg4rn9NNP59577+1ts7V9+3Z27tzZ77iFOVl8bFweGRnGBy0dlBUFuHHeVGYfVjqoZcnYF1pXy87bbqWroYHM0jK6GhrYeduthNYNrh3jaDVpSgknnHsEecUBWps6ySsOcMK5RzBpSknyFloxF/5pOXzlGe9dmSsREZG0SloJlpk9CFQBZWYWBL7jnPtFf+M6514zs4eAjUAX8C/OuW5/8FfxeiTMAx73X0m34MgFLK1dCnglV6HOEG1dbSw4ckFC5l9eXs7Xv/71PdK/9a1vceGFF/KjH/2IU089Ne70NTU13H777WRnZ1NYWMjy5cuZMGEC999/PxdccAEdHR0ALFmyhClT9l6ydNppp/H6668zZ84cwOu+/Ze//CUTJ07sd/zCnCxKCwKsuvLEwayu7GcaV6zA8vLJ9B8DkFlYSLefPtZLsSZNKUluhkpERERGtKRlsJxzF+xleEWf77cAt/Qz3kvAtIQGNwiVB1WyuHIxKzetJNgSpLywnAVHLqDyoOHdHEZKiKJVVVX1VgWcM2dOTKnT9773PQAuuugiLrroot70Cy+8kAsvvHCPeZ166qnU1u5ZShDdwLyuri4mnkjnHF//+tf7zfSJDFVn8B0yS2Or2Gbk59MZTFJveiIiIiIjREp7ERxtKg+qHHaGSmR/lF1+sFc9MOpB1j2trWSXJ6ktkoiIiMgIkbI2WCKy/yhZuBDX1kp3Swuup8d7b2ulZOHCdIcmIiIiklTKYIlIwhXMqmTiNdeSVVpKd0MDWaWlTLzm2jHf/kpEREREVQRlzKvdUeu1pWsOUl6UmLZ0sncFsyqVoRIREZH9jkqwZEyr3VHL0tqlNLQ1UJZXRkNbA0trl1K7Y2x3Fy4iiWVm/2pmr5nZq2b2oJnlpjsmEREZmVSCJWPayk0rycvKozDgdbYQeV+5aaVKsWTMW7u1geVr6ti2q5XJ4/OpnlOh59XtAzObBHwNmOqca/MfK7IA7xEiIiIiMVSClWKFUb2qSfIFm4MUZBfEpBVkFxBsUXfhMrat3drAklUbqW8OM6Ewh/rmMEtWbWTt1oZ0hzZaZQF5ZpYF5APvpjkeEREZoVSCJWNaeVE5DW0NvSVXAKHOEOWF6i5cxrbla+rID2RRlOud5iPvy9fUqRRriJxz281sKbANaAOecs491Xc8M1sELAI48MADY54/OFK0tLSMyLiGIhnr8Le/vU043JnQeUZUV3+OwsKamLRx41qYP7+m3/EHq7Nzftp/y335LZK5rQOBbA4//JAhTTMWjgnofz0uu2w+2dk1/Y4/XMnY/1paWvjFLx4YUfvHvlIGawChdbU0rlhBZ/AdsssPpmThwoQ32m9ububoo49m8+bNZGdn09TUxNFHH82WLVt47bXXuPzyy2ltbeXwww/n3nvvpaSkhKqqKo4//niefvppdu/ezS9+8QtOPPHEhMY1Viw4cgFLa5cCXslVqDNEW1cbC45ckObIRJJr265WJhTmxKQV5GSybVdrmiIavcysBJgPHArsBv7HzP7ZOffL6PGcc8uAZQDHHXecizxAfiSpqalhJMY1FMlYh6uuOpNJkx5N6Dwj/vjHqXz60xtj0ubPr+E3v6ka1ny3b/8hL7+cnJgHa19+i2Ru6+3bzxzyNhkLxwT0vx5XXfXDJG7rxO9/NTU13HTTz0bU/rGvVEUwjtC6Wnbedqv3sNTSMroaGth5262E1iW2c4SioiKqqqp47LHHAFi5ciXnnHMO2dnZVFdXc9ttt/HXv/6V6dOn893vfrd3uq6uLtatW8ePf/zjmHSJVXlQJYsrF1OaV0p9ez2leaUsrlys9lcy5k0en0+oozsmLdTRzeTx+WmKaFT7DPCWc+4D51wn8GvgU2mOSURERiiVYMXRuGIFlpdPpt9mKrOwkG4/PdGlWJdeeik/+MEPOPvss7nvvvv4+c9/zocffsju3bs5+eSTAbjwwgs577zzeqf5whe+AMDMmTOpq6tLaDxjTeVBlcpQyX6nek4FS1Z5/5oX5GQS6uimNdxF9ZwpaY5sVNoGzDazfLwqgp8GXkpvSCIiMlIpgxVHZ/AdMkvLYtIy8vPpDCa+c4QTTjiBuro6nnnmGbq7u5k2bRoffvjhgNPk5HhVfzIzM+nq6kp4TOJJRTXRsU492aXH7MNKuXHe1D7bfoq2/T5wzr1oZg8DLwNdwJ/xqwKKiIj0pQxWHNnlB3vVA6N6/etpbSW7PDmdI1RXV3PBBRfw7W9/G4ADDjiAkpISnnvuOU488UT+67/+q7c0S1IjUk3U8vJjqolOvOZaZbIGKdKTXX4gK6YnuxvnTdWNfgrMPqxU2zlBnHPfAb6T7jhERGTkUxusOEoWLsS1tdLd0oLr6fHe21opWbhwWPNtbW2lvLy89/WjH/0IgIULF9LY2MgFF1zQO+4DDzzA1VdfzdFHH80rr7zCTTfdNKxly9BEVxO1jAzvPS+fxhUr0h3aqBHdk12GGUW5WeQHsli+pi7NkYmIiIgkh0qw4iiYVcnEa671q4cFyS4vp2Th14ZdctHT09Nv+urVqzn33HMZN25cb9qMGTNYu3btHuNGd4tZVlamNlhJkspqomOVerITERGR/Y0yWAMomFWZkqpgV155JY8//ji/+93vkr4sGbxUVxMdiyaPz6e+Odz7DCYYXE92tTtqWblpJcHmIOVF5Sw4coE6KhEREZFRQVUER4C77rqLN998kylT1LvXSJKsaqL7k+o5FbSGu2hu76LHOZrbu/ye7CriTlO7o5altUtpaGugLK+MhrYGltYupXZHYh+RkEprtzZwxYr1zLvrOa5YsZ61WxvSHZKIiIgkiTJYInFEqolmlZbS3dBAVmmpOrgYokhPdmVFAT5o6aCsKLDXDi5WblpJXlYehYFCzIzCQCF5WXms3LQyhZEnTqSjj/rmcExHH8pkiYiIjE2qIigygFRVEx3LhtqTXbA5SFlebNu3guwCgi2js+1bdEcfQO/78jV1Y7aHv75VPD/d9el0hyQiIpIyKsESGY3qVsND1fCzk733utXpjihhyovKCXWGYtJCnSHKC0dn27dtu1opyMmMSRvLHX30V8VzR2jHqK7iKSIiMhTKYImMNnWr4ckbIFQPhRO99ydvGDOZrAVHLqCtq42WcAvOOVrCLbR1tbHgyAXpDm2fTB6fT6ijOyZtMB19jFb9VfHMsIxRW8VTRERkqJTBSrHMzExmzJjBtGnTOO+882htHdq/2JdeeikbN25MUnQyKqxbBoECyCkCy/DeAwVe+hhQeVAliysXU5pXSn17PaV5pSyuXDxqexHcl44+RrNgc5CC7IKYtAzLGLVVPEVERIZKbbBSLC8vj1deeQXwHi589913c9VVVw1q2u7ubu65555khiejQePbXslVtECBlz5GVB5UOWozVH1FOvpYvqaObbtamTw+n+o5U8Zs+6vyonIa2hooDEQ93sD1UF40Oqt4ioiIDJVKsAawfXMjTyzbwEP/XssTyzawfXNjQud/4okn8uabbwJw9tlnM3PmTI466iiWLfuoJKKwsJCbbrqJ448/njVr1lBVVcVLL71Ed3c3F110EdOmTWP69OnccccdCY1NRrCSQyAc20aJcMhLlxFp9mGl/HThTFZdeSI/XThzzGauoP8qnj2uZ9RW8RQRERkqZbDi2L65kecf3kJbU5j84mzamsI8//CWhGWyurq6ePzxx5k+fToA9957L+vXr+ell17izjvvpKHB68I5FAoxbdo0XnzxRebOnds7/SuvvML27dt59dVX2bBhAxdffHFC4pJRYNYiL0PV0Qyux3sPh7x0kTTrr4rnQQUHjZkSSRERkb1RFcE4NtQEyQ5kEsjzNlHkfUNNkElTSvZ5vm1tbcyYMQPwSrC+/OUvA3DnnXfyyCOPAPDOO++wZcsWSktLyczM5JxzztljPocddhhbt27lyiuv5B//8R857bTT9jkmGWUq5sLpt3htrhrf9kquTrneS5d+bd/cyIaaIG3FrTyxbAPTq8qHdRzLwPpW8aypqUlfMCIiIimmDFYcTfXt5Bdnx6Rl52bSVN8+rPlGt8GKqKmp4Q9/+ANr1qwhPz+fqqoq2tu95eTm5pKZmbnHfEpKSvjLX/7Ck08+yX/8x3/w0EMPce+99w4rNhlFKuYqQzVIkdLo7EAmGSXWWxp9wrlHKJMlIiIiCacMVhzFZbm0NYV7S64AOtu7KS7LTfiyPvzwQ0pKSsjPz2fTpk2sXbt2r9PU19cTCAQ455xzOPzww7nooosSHpfIWBBdGt1F4kqjRURERPqjDFYc06vKef7hLYBXctXZ3k1nuJtZVYnvCeuMM87g7rvv5uijj+YTn/gEs2fP3us027dv5+KLL6anpweA73//+wmPS2QsSFZptIiIiEh/lMGKY9KUEk449wg21ARpqm+nuCyXWQlot9HS0rJHWk5ODo8//vigxo9uy/Dyyy8PKxaR/UEqS6NTae3Whj5dv1eM6d4JRURERgtlsAYwaUqJqhCJjHLRpdEZQLitK2ml0amydmsDS1ZtJD+QxYTCHOqbwyxZtZEb503tP5NVtzq2U5RZi9SGT0REJEnUTbuIjGmR0ui84gA93Y684sCo7+Bi+Zo68gNZFOVmkWFGUW4W+YEslq+p23PkutXw5A0QqvceUB2q977XrU5x1CIiIvuH/a4EyzmHmaU7jFHPOZfuEEQGLVIaXVPTQNWC6ekOZw+1O2pZuWklweYg5UXlLDhywYDPjdq2q5UJhTkxaQU5mWzb1brnyOuWQaAAcoq875H3dctUiiUiIpIE+1UJVm5uLg0NDSnPHHSHQoS3baPjzTcJb9tGdyiU0uUnmnOOhoYGcnNHdxsWkZGgdkctS2uX0tDWQFleGQ1tDSytXUrtjtq400wen0+oozsmLdTRzeTx+XuO3Pi2l8GKFijw0kVERCTh9qsSrPLycoLBIB988EHC593e3t5vhqOno4OepiYw817OQV0dGcXFZOTk9DOn1IsX+0Byc3MpLx+9bVhERoqVm1aSl5VHYaAQoPd95aaVcUuxqudUsGTVRsAruQp1dNMa7qJ6zpQ9Ry45xKsWGCm5AgiHvHQRERFJuP0qg5Wdnc2hhx6alHnX1NRwzDHH7JEe/Po36GpoILOwsDetu6WFrNJSyn/y46TEMlTxYheR5As2BynLK4tJK8guINgSjDvN7MNKuXHe1D69CE7pv4OLWYu8NlfglVyFQ97rlOsTuBYiIiISsV9lsNKhM/gOmaWxN08Z+fl0BuPfPInI/qO8qJyGtobekiuAUGeI8sKBS4hnH1Y6uG7ZK+bC6bfE9iJ4yvVqfyUiIpIkymAlWXb5wXuUYPW0tpKt6nUiAiw4cgFLa5cCXslVqDNEW1cbC45ckLiFVMxVhkpERCRFktbJhZnda2Y7zezVqLTbzWyTmf3VzB4xs3FRw64zszfN7A0zOz0qfaaZbfCH3WmjrAvAkoULcW2tdLe04Hp6vPe2VkoWLkx3aCIyAlQeVMniysWU5pVS315PaV4piysXD9iLoIiIiIxcySzBuh/4v8DyqLTfA9c557rM7DbgOuAaM5sKLACOAj4O/MHMpjjnuoH/BBYBa4HfAWcAjycx7oQqmFXJxGuupXHFCjqDQbLLyylZ+DUKZunmSUQ8lQdVKkMlIiIyRiQtg+Wce9bMKvqkPRX1dS1wrv95PrDSOdcBvGVmbwKzzKwOKHbOrQEws+XA2YyiDBZ4mSxlqERERERExr50PgfrEj7KKE0C3okaFvTTJvmf+6aLiIiIiIiMOGnp5MLMbgC6gBWRpH5GcwOkx5vvIrzqhBx44IHU1NQML9AhaGlpSenyEkmxp4diT73RGjcodhERkdEi5RksM7sQmAd82jkXySwFgYOjRisH3vXTy/tJ75dzbhmwDOC4445zVVVViQt8L2pqakjl8hJJsaeHYk+90Ro3KHYREZHRIqVVBM3sDOAa4CznXGvUoN8CC8wsx8wOBY4A1jnn3gOazWy233tgNfCbVMYsIiIiIiIyWEkrwTKzB4EqoMzMgsB38HoNzAF+7/e2vtY5d7lz7jUzewjYiFd18F/8HgQBvorXI2EeXputUdXBhUiqrN3awPI1dWzb1crk8flUz6kY3INoRURERCRhktmL4AX9JP9igPFvAW7pJ/0lYFoCQxMZc9ZubWDJqo3kB7KYUJhDfXOYJas2cuO8qcpkpdH2zY1sqAnSVN9OcVku06vKmTSlJN1hySjxhS98mbq6nQmd52WXzeeqq37Ijh1BDjooOQ+8T9a8Kyom8utfx72NEEmaZByLEaN1v9669W8ce+yZCZ3nZZfNZ+vWt5k0BrqzS0snFyKSWMvX1JEfyKIo1zukI+/L19Qpg5Um2zc38vzDW8gOZJJfnE1bU5jnH97CCeceoUyWDEpd3U4mTXo0ofPMzq5h0qRH2bRpKjNnJnbeEcmad11dYm/mRAYrGcfiR/Menft1OExSzk/hcFdC55kuymCJjAHbdrUyoTAnJq0gJ5Ntu1rjTCHJtqEmSHYgk0Ced5qNvG+oCSYlg7X+ieXsWH4fue9/SPuBB3BQ9cXMPKM64csRERGRgaXzOVgi+6W1Wxu4YsV63tzZwhUr1rN2a8Ow5zl5fD6hju6YtFBHN5PH5w973rJvmurbyc7NjEnLzs2kqb494cta/8Rydt9+B1m7Q3SMyyNrd4jdt9/B+ieWJ3xZIiIiMjBlsERSKNJWqr45TFZmRm9bqeFmsqrnVNAa7qK5vYse52hu76I13EX1nIrEBC5DVlyWS2d7bKa3s72b4rLchC9rx/L76MrJpjs/ByyD7vwcunKy2bH8voQvS0RERAamDJZICkW3lTK8tlL5gSyWr6kb1nxnH1bKjfOmUlYU4IOWDsqKAurgIs2mV5XTGe4m3NaFc45wWxed4W6mVyW+8X/u+x/SnZcdk9adl03u+x8mfFkiIiIyMLXBEkmhZLaVmn1YqTJUUfrrtj6VJk0p4YRzj4jpRXBWknoRbD/wALJ2h7wSLF9mWyftBx6Q8GWJiIjIwJTBEkmhyePzqW8O9/byB2orlQzxuq3/6pHde584gSZNKUlJj4EHVV/M7tvvALySq8y2TrI6OimrvjjpyxYREZFYqiIokkLRbaUcqK1UkkRXxcww662K2dDSke7QkmLmGdWMu/pf6RpXQM7uNrrGFTDu6n9VL4IiIiJpoBIskRSKtJVavqaOru4eyooCVM+Zoqp9CRavKma4qydNESXfzDOqQRkqERGRtFMGSyTFIm2lampquLRqZrrDGZPiVcUMHKBCexEREUku3W2IyJgTr9v60j6lWiIiIiKJpgyWiIw58bqtLwhk7n3iPkLragl+/Ru8dc45BL/+DULrapMQsYiIiIwVqiIoImNSf93W12wb2jxC62rZedutWF4+maVldDU0sPO2W5l4zbUUzKpMYLQiIiIyVqgES0QkjsYVK7zMVWEhlpHhvefl07hiRbpDExERkRFKGSwRkTg6g++QkR/7jLKM/Hw6g8E0RSQiIiIjnTJYIiJxZJcfTE9ra0xaT2sr2eXlaYpIRERERjplsERE4ihZuBDX1kp3Swuup8d7b2ulZOHCdIcmIiIiI5Q6uRARiaNgViUTr7mWxhUr6AwGyS4vp2Th1xLWwcXarQ0sX1PHtl2tTB6fT/WcCj10WkREZJRTBktEZAAFsyqT0mPg2q0NLFm1kfxAFhMKc6hvDrNk1UZunDdVmSwREZFRTFUERUTSYPmaOvIDWRTlZpFhRlFuFvmBLJavqUtzZCIiIjIcKsFKlHALPFQNjW9DySEwaxFUzE13VCIyQm3b1cqEwpyYtIKcTLbtao0zhYiIiIwGKsFKhLrV0LQdQvVQONF7f/IGL11EpB+Tx+cT6uiOSQt1dDN5fH6cKURERGQ0UAYrEdYtA8uEnCKwDO89UOCli4j0o3pOBa3hLprbu+hxjub2LlrDXVTPqUh3aCIiIjIMymAlQuPbXsYqWqDASxcR6cfsw0q5cd5UyooCfNDSQVlRQB1ciIiIjAFqg5UIJYeA64lNC4e8dBHZb23f3MiGmiBN9e0Ul+UyvaqcSVNKeofPPqxUGSoREZExRiVYiTBrEbhu6Gj2MlodzV4Ga9aidEcmMiKt3drAFSvWM++u57hixXrWbm1Id0gJt31zI88/vIW2pjD5xdm0NYV5/uEtbN/cmO7QREREJIlUgpUIFXNh827oKfuoF8FTrlcvgiLgdfayblnvsfFa+QKWvFSUsuc/1e6oZeWmlQSbg5xpZ1K7o5bKgxL/XKu+NtQEyQ5kEsjzTrOR9w01wZhSLBERERlbVIKVKIFC+Kfl8JVnvHdlrkS8zNWTN8T0sFn4zE3MdBtT8vyn2h21LK1dSkNbA2V5ZXT1dLG0dim1O2oTvqy+murbyc7NjEnLzs2kqb496csWERGR9FEGS0SSZ90yr8OXqB42m7oDzOt4NGa0ZD3/aeWmleRl5VEYKMTMyLRM8rLyWLlpZcKX1VdxWS6d7bHdsHe2d1Nclpv0ZYuIiEj6KIMlIsnT+LaXwYoWKGR8eEdMUrKe/xRsDlKQHbv8guwCgi3BhC+rr+lV5XSGuwm3deGcI9zWRWe4m+lV5UlftoiIiKSPMlgikjwlh3gdvkQ5pNDxrk1MyfOfyovKCXXGLj/UGaK8MPmZnElTSjjh3CPIKw7Q2tRJXnGAE849Qu2vRERExjh1ciEiyTNrkdcGC7ySrHCI4sww40/5V8reCrBtVyuTx+dTPWdKUjq4WHDkApbWLgW8kqtu101bVxsLjlyQ8GX1Z9KUEmWoRERE9jPKYIlI8lTMhdNvielFkFOu56iKufz0U8lffOVBlSyuXOz1ItgSJCsji8XHLU5KL4KhdbU0rlhBZ/AdsssPpmThQgpmJb+3QhERERlZlMESkeSqmJvWXjUrD6rszVDV1NQkLXO187Zbsbx8MkvL6GpoYOdttzLxmmuVyRIREdnPqA2WyHDVrYaHquFnJ3vvdavTHZGkWOOKFV7mqrAQy8jw3vPyaVyxIt2hSYKY2Tgze9jMNpnZ62Y2J90xiYjIyKQMlshw9POcJ568QZms/Uxn8B0y8mN7QczIz6czmPzeCiVlfgI84Zw7Evgk8Hqa4xERkRFKVQRlzKjdUeu1tWkOUl5UzoIjFySlOliM6Oc8wUfv65bpYdP7kezyg+lqaCCzsLA3rae1lexydck+FphZMXAScBGAcy4MhNMZk4iIjFzmnEt3DElx3HHHuZdeeilly6upqaGqqiply0uksRB77Y5altYuJS8rj4LsAkKdIdq62lhcmZwODXr97GSv5MqiCoNdD7TshK88M6jYR6PRGnuy4o5ug5WRn09PayuurTWhbbBG6zaHxMZuZuudc8clZGaDX+YMYBmwEa/0aj3wdedcqM94i4BFAAceeODMlSuH90Dr119/k+zsvxvWPPoaN66F3bsLaW5+jaKioxI674hkzbuz803+/u//jpaWFgqj/sxIhGRs64j+tkfkdxiOyPZIp335LZK5rVtaXiMnJ2dI05SVjaO+fveA43R0hCksnDqc0OLal5j70996JDPuZBzn48a18M47byft3JSIY+aUU04Z1DVIJVgyJqzctJK8rDwKA96JPvK+ctPK5GawSg7xqgVGSq7Ae+5TySHJW6aMOAWzKpl4zbV+L4JBssvLKVn4NXVwMXZkAccCVzrnXjSznwDXAt+OHsk5twwvI8Zxxx3nhpupvOqqHzJp0qPDmkdf8+fX8JvfVPHHP17Bpz+9MaHzjkjWvLdv/yEvv/xoUv5sSMa2juhve0R+h+GIbI902pffItXbem/mz6/hd787dy/znTrij5f+1mM0xB1t/vwabrjhP5IWcyqPmaRlsMzsXmAesNM5N81PGw/8CqgA6oB/cs41+sOuA74MdANfc8496afPBO4H8oDf4f1rODaL3WSfBZuDlOWVxaQVZBcQbElyG5h+nvNEOASnXJ/c5cqIUzCrUhmqsSsIBJ1zL/rfH8bLYImIiOwhmZ1c3A+c0SftWuCPzrkjgD/63zGzqcAC4Ch/mp+aWaY/zX/iVbk4wn/1nacI5UXlhDpjausQ6gxRXpjkNjCR5zwVlHnVAgvKvO9qfyUyZjjndgDvmNkn/KRP41UXFBER2UPSSrCcc8+aWUWf5PlAlf/5AaAGuMZPX+mc6wDeMrM3gVlmVgcUO+fWAJjZcuBs4PFkxS2j04IjF7C0dilATBusBUcuSP7C0/ycJxFJiSuBFWYWALYCF6c5HhERGaFS3QbrQOfcewDOuffMbKKfPglYGzVe0E/r9D/3Te9XnwbG1NTUJC7yvWhpaUnp8hJprMR+Yd6F7GrfRTgcJpAZYHzeeEKbQtRsqklrjPGMle0+mozWuEGxp5tz7hUgpZ1riIjI6DRSOrmwftLcAOn9SnQD46FQD1/podjTY7TGPlrjBsUuIiIyWqQ6g/W+mX3ML736GLDTTw8CB0eNVw6866eX95MuklTbNzeyoSZIU307xWW5TK8qZ9KUknSHNWal5RlmIiIiIkmQzE4u+vNb4EL/84XAb6LSF5hZjpkditeZxTq/OmGzmc02MwOqo6YRSYrtmxt5/uEttDWFyS/OpqJaguEAACAASURBVK0pzPMPb2H75sZ0hzYmRZ5h1tDWQFleGQ1tDSytXUrtjtp0hyYiIiIyZEnLYJnZg8Aa4BNmFjSzLwO3Ap81sy3AZ/3vOOdeAx7C65XpCeBfnHPd/qy+CtwDvAn8DXVwIUm2oSZIdiCTQF4WZkYgL4vsQCYbapLc5ft+KvoZZmZGYaCQvKw8Vm4a3kNaRURERNIhmb0IXhBn0KfjjH8LcEs/6S8B0xIYmsiAmurbyS/OjknLzs2kqb49TRGNbWl7hpmIiIhIEqS6iqDIiFdclktne3dMWmd7N8VluWmKaGxL2zPMRERERJJAGSyRPqZXldMZ7ibc1oVzjnBbF53hbqZX6YY/GRYcuYC2rjZawi0452gJt6TuGWYiIiIiCTZSumkXGTEmTSnhhHOPiOlFcNYY60VwJPWSWHlQJYsrF3u9CLYEKS9UL4IiIiIyeimDJdKPSVNKxlSGKlqkl8TsQGZML4knnHtEWjNZylCJiIjIWKAqgiL7GfWSKCIiIpI8ymCJ7Gea6tvJzs2MSVMviSIiIiKJoQyWyH5GvSSKiIiIJI8yWCL7GfWSKCIiIpI86uRCZD+zP/SSKP0bSb1HioiIjFXKYImMcWu3NrB8TR3bdrUyeXw+1XMqmD2lVDfW+5mR2HukiIjIWKQqgiJj2NqtDSxZtZH65jATCnOobw6zZNVG1m5tSHdokmLqPVJERCQ1VIIlMoYtX1NHfiCLolzvUI+8L19Tx+zDStMXWCrVrYZ1y6DxbZh4sfe9Ym7CFzPSq9811beTX5wdk6beI0VERBJPJVgiY9i2Xa0U5MR2yV6Qk8m2Xa1piijF6lbDkzdAqB4KJ0JPl/e9bnVCFxOpftfWFI6pfrd9c2NClzMc6j1SREQkNZTBEhnDJo/PJ9QRe1Md6uhm8vj8NEWUYuuWQaAAcorAMrxXoMBLT6DRUP1OvUeKiIikhjJYMiKt3drAFSvWM++u57hixXq1GdpH1XMqaA130dzeRY9zNLd30RruonpORbpDS43Gt70MVbRAgZeeQKPh4c2R3iPzigO0NnWSVxzYrzu4MLNDzOwz/uc8MytKd0wiIjI2xG2DZWa5wHjn3Lt90j8ONDjnOpIdnIw8oXW1NK5YQWfwHbLLD6Zk4UIKZlUmdBmRjhnyA1kxHTPcOG/q/tNuKEFmH1bKjfOm9ulFcMr+sx1LDvGqB+ZE3TuHQ156AhWX5dLWFCaQ99EpdSRWv5s0pWS/zVBFM7PLgEXAeOBwoBy4G/h0OuMSEZGxYaASrJ8DxwKY2cei0o8F7klmUDIyhdbVsvO2W+lqaCCztIyuhgZ23nYroXW1CV1OdMcMGfb/27v3+Lju8t73n0eXsTQauZGlOAkeO8I0JhhSaGIJm4TWIW0DNMX0kLbuEZgWWreFNknBZ8eQtKXnJLt2t+H0ckpbt9DGRa2ahltw6QmQXVGSHSMlacDEMXFwFGeMgyNZVNLoMro8+4+15IwcSZalmVkzo+/79dJrzfy0Zs2z1oxm6Znfbz0/o76minisigOP9OT0eZaLzesb+WTbNRz8nTfzybZrlk9yBdC6M0ioxgbBp4KfTDpozyENvys5HwSuBQYA3P0YsDrSiEREpGzMl2Bd6e4Hw9v/ambvAgjbXpP3yKTo9Le3Y7VxKhMJrKIiWNbG6W9vz+nzLPvCDJI7zdfBjXdDXRMMnYaKquB+jqsIavhdyRlz98z0HTOrAjzCeEREpIzMV6Z9ysxe5e7fAwy4A/ismV0BTBUkOikq46nnqWxsmtFWEY8znsrthfzrVsXpHcycLSkOy6wwg+RW83UvJVSdnXkp0Q7zD7/rfqGbjqMdpAZTJOuTbL9yOy2X5nZorVyQr5vZR4FaM/tp4APAlyKOSUREysR8PVgfBr5mZn8JNAKN4e2vhL+TZaY6uZap4Zm9SFPDw1QnczsMatkXZpCy0v1CN/u699E30kdTbRN9I33s695H9wu5HVorF2Q38CJwGPgN4MvAnZFGJCIiZWPOBMvdHwKuAbqAmvDnm8Amd/9GYcKTYtLQ1oaPDDM5NIRPTQXLkWEa2tpy+jzThRma6mO8ODRGU31MBS6kZHUc7aC2qpZELIGZkYglqK2qpeNoR9ShLWe1wKfd/Rfc/Wbg02GbiIjIks03RBB3P2Nm/wiMhPc7AMxslbufKUB8UkTqWltYffvusIpgiupkkoa2W3JeRRCCJEsJlZSD1GCKptqZQ2vrqutIDRXPHFnL0IPATwFD4f1agtEZb4osIhERKRvzJlihzwHvdPdxOFtR8CBB75YsM3WtLXlJqETKVbI+Sd9IH4lY4mxbejxNMqEKgxGqcffp5Ap3HzIzXeQpIiI5sZCJhr8A/IuZVZpZM/AA8JF8BiUiUi62X7mdkYkRhjJDuDtDmSFGJkbYfuX2qENbztJmdvX0HTO7hnCkhoiIyFKdtwfL3f/GzGIEiVYz8Bvu/r/yHZiISDloubSFXS27giqCQymSiZdXETz5dD+HO1MM9I6ysqmGq7YmVeI9v24j+OLw++H9y4BfijAeEREpI3MmWGb2oey7wFrgCWCzmW1290/kOzgRkXLQcmnLnGXZTz7dz8P3HaM6Vkl8ZTUjAxkevu+Y5tHKI3fvNrMrgVcTnN+OTg+DFxERWar5erDqz7n/+TnaRURkFoeO93HgkR5OnBlm3ao4O7Y0v6x4y+HOFNWxSmK1wcfx9PJwZ0oJVn61EIzKqAJ+3Mxw9wPRhiQiIuVgzgTL3f+wkIGIiJSTQ8f7uOvgEeKxKi5OrKB3MMNdB4+8bMqBgd5R4iurZzy2uqaSgd7RQoe8bJjZPwCvIhiVMRk2O6AES0RElmwhVQRFROQCHXikh3isivqa4GN2enngkZ4ZCdbKphpGBjJne64AxkcnWdlUU8hwl5tNwEZ396gDEVms48e/x9VX/1xett3cvJrPfe5Tedm2yHKgBEtEJA9OnBnm4sSKGW11Kyo5cWZ4RttVW5M8fN8xIOi5Gh+dZDwzSetWlXHPo+8AlwKnog5EZLEyGViz5kt52XZPT34SN5HlQgmWiEgerFsVp3cwc7bnCiA9Nsm6VTOnW1qzoYFrb75iRhXBVlURzLcm4IiZdQFj043u/o7oQhIRkXJx3gTLzC4Gfp2XLgYGwN3fl7+wRERK244tzdx18AgQ9FylxyYZzkywY8uGl627ZkODEqrC+ljUAYiISPlaSA/WF4FvAF/jpYuBRURkHpvXN3LnTRvPqSK44WVVBKXw3P3rZnY5cIW7f83M4kBl1HGJiEh5WEiCFXf32/MeiYhImdm8vlEJVREys18HdgKrCKoJrgH+CrghyrhERKQ8VCxgnYNm9va8RyIiIlIYHwSuBQYA3P0YsDrSiEREpGwsJMG6lSDJGjWzATMbNLOBfAcmIiKSJ2Punpm+Y2ZVBPNgiYiILNl5hwi6e30hAhERESmQr5vZR4FaM/tp4ANAfupdi4jIsnPeHiwLvNvMfi+8v9bMWvMfmoiISF7sBl4EDgO/AXwZuDPSiEREpGwspMjFJ4Ep4C3A/wMMAX8BtCz2Sc3sd4FfIxiScRj4VSAO/DNBOfge4BfdvT9c/yPA+wmqGN7i7g8s9rlFRCT30l3d9Le3M556nurkWhra2qhrXfRpIq/cfQr4m/BHREQkpxZyDdYb3f2DwChAmPTEFvuEZrYGuAXY5O6vIyiNu53gG8UH3f0K4MHwPma2Mfz9a4G3Ap80M5XTFREpEumubk7v3cNEXx+VjU1M9PVxeu8e0l3dUYc2KzN71syOn/sTdVwiIlIeFpJgjYcJjcPZiYenlvi8VQRj36sIeq6+D2wD7gl/fw/wzvD2NqDD3cfc/VngGUBDFEVEikR/eztWG6cykcAqKoJlbZz+9vaoQ5vLJoJRGC3Am4E/Az4TaUQiIlI2FjJE8M+AzwOrzexu4GaWMFbd3U+a2T7gBDACfMXdv2Jml7j7qXCdU2Y2XTJ3DXAoaxOpsO1lzGwnwdwmXHLJJXR2di42zAs2NDRU0OfLpQXFnhmCdC9MjkHlCqhrgliiIPHNp+yPe5G6kNjHxyYZGcwwOeFUVhm19TGqV0TTCb1cjnmhZX7sKqiqxuylNndgYoJnOjuLLnZ37zun6U/M7CHg96OIR0REystCqgi2m9ljBBMwGvBOd39qsU9oZg0EvVKvBH4I/IuZvXu+h8wW1hyx7gf2A2zatMm3bt262DAvWGdnJ4V8vlw6b+w9D8ED/wNidcFPJg2n03Dj3dB8XcHinE1ZH/cittDYTz7dz8P3HaM6Vkl1TSXjo5P0Zya59uYrWLOhIf+BnmM5HPMopD7/hWB4YOKlL10mh4aoamwk+f73FV3sZnZ11t0Kgh4tVcwVEZGcWEgPFu5+FDiao+f8KeBZd38RwMw+B7wJ+IGZXRb2Xl0GnA7XTwFrsx6fJBhSKIXStT9IrFaE/39ML7v2R55gSXE73JmiOlZJrDb4qJleHu5MRZJgSX40tLVxeu8eJoGKeJyp4WF8ZJiGtluiDm0uH8+6PUFYWCmaUEREpNwsKMHKsRPAZjOLEwwRvAF4FEgD7wX2hMsvhuvfD/yjmX0CeAVwBdBV6KCXtf7nILF6ZlusLmgXmcdA7yjxldUz2qprKhnoHY0oIsmHutYWVt++O6wimKI6maSh7ZZiriJ4fdQxiIhI+Sp4guXu3zSz+4DHCb45/E+CYX0J4F4zez9BEvYL4fpPmtm9wJFw/Q+6+2Sh417WGi4Prr9akTWCJpMO2kXmsbKphpGBzNmeK4Dx0UlWNtVEGJXkQ11rS9EmVOcysw/N93t3/0ShYhERkfKzkImGN87StnUpT+ruf+DuV7r769z9PWGFwD53v8HdrwiXZ7LWv9vdX+Xur3b3f1vKc8sitO4MEqqxQfCpYJlJB+0i87hqa5LxzCSZkQncnczIBOOZSa7amow6NFneNgG/RVAwaQ3wm8BGguuwdC2WiIgsyULKtN9rZrdboNbM/hz4o3wHJkWk+bqgoEVdEwydDpZFUOBCit+aDQ1ce/MV1K6MMTwwTu3KWGQFLkSyNAFXu/uH3f3DwDVA0t3/0N3/MOLYRESkxC1kiOAbgb3A/yL4Zq8duDafQUkRar5OCVWJS3d1h9fIPE91ci0NbW0FGdK1ZkODEiopNuuATNb9DNAcTSgiIlJuFjTRMEExilqghqAC4FInGhaRAkp3dXN6756glHZjExN9fZzeu4d0V3fUoYlE4R+ALjP7mJn9AfBN4EDEMYmISJlYSILVTZBgtQDXAb8cFqkQkRLR396O1capTCSwiopgWRunv7096tBECs7d7wZ+FegnmI/xV939v0cblYiIlIuFDBF8v7s/Gt5+AdhmZu/JY0wikmPjqeepbGya0VYRjzOeSkUUkUjk4sCAu/+dmV1sZq9092ejDkpERErfnAmWma109wHguJmtOufX/5rfsEQkl6qTa4PhgYnE2bap4WGqkwWo5tfzUDApdf9zQWn/1p26nk8Kzsxe6+5Phrf/gKCS4KuBvwOqgc+g64tFRCQH5hsi+I/h8jGCiYAfy/p5dK4HiUjxaWhrw0eGmRwawqemguXIMA1tbfl94p6H4IE7gnnUEquD5QN3BO0ihXW5me0Jb/888A6CCe5x9++j8uwiIpIjcyZY7n6TmRnwk+6+3t1fmfWzvoAxisgS1bW2sPr23VQ1NjLZ10dVYyOrb9+d/yqCXfshVhdMUm0VwTJWF7SLFJC7fxn49/Buxt0dcAAzq4ssMBERKTvzXoPl7m5mnyeYI0RESlhda0tByrLP0P9c0HOVLVYXtIsUmLs/EN6818z+GrjIzH4deB/wN9FFJiIi5WQhRS4OmVmLu6ues4hcmIbLg2GBK7JGX2XSQbvkhq5xu2Duvs/MfhoYILgO6/fd/asRhyUiImViIWXarydIsr5nZt82s8Nm9u18ByYiZaB1Z5BQjQ2CTwXLTDpol6XTNW4XzMwqzexr7v5Vd/+/3H2XkisREcmlhfRgvS3vUYhIeWq+Dm68e2YPy/UfVQ9LrmRf4wYvLbv26xjPwd0nzWzYzH7E3f8r6nhERKT8zFemvQb4TeBHgcPAp9x9olCBiUiZaL5O/+zni65xW6xR4LCZfZWwkiCAu98SXUgiIlIu5uvBugcYB75B0Iu1Ebi1EEGJiCzVoeN9HHikhxNnhlm3Ks6OLc1Rh5R7usZtsf4VzecoIiJ5Ml+CtdHdrwIws08BXYUJSURkaQ4d7+Oug0eIx6q4OLGC3sEMdx08wm9dORl1aLnVujO45gqCnqtMOvi5/qPRxlWkzGydu59w93uijkVERMrXfEUuxqdvaGigiJSSA4/0EI9VUV9TRYUZ9TVVxGNV9A2NRR1abk1f41bXBEOng+WNd2tI5ty+MH3DzD4bZSAiIlK+5uvBer2ZDYS3DagN7xvBFFkr8x6diMginDgzzMWJFTPa6lZUkpmYiiiiPNI1bhfCsm6vv+AHm1UCjwIn3f2mnEUlIiJlZc4Ey90rCxmIiEiurFsVp3cwQ33NSx9x6bFJYj+ykJkppIz5HLcX6lbgKUBfMIqIyJz034aIlJ0dW5oZzkwwODrBlDuDoxMMZyZoPKdXS5ad15vZgJkNAj8W3h4ws8GsERuzMrMk8LPA3xYkUhERKVnmvpgv8Yrfpk2b/NFHHy3Y83V2drJ169aCPV8uKfZoKPb8mq2K4OiJw0Uf91xK4ZjPJZexm9lj7r4pJxu7sOe9D/gjoB7YNdsQQTPbCewEuOSSS67p6OhY0nM+9dQzVFf/6JK2ca6LLhrihz9MMDj4JPX1r83ptqfla9vj48/wmtf8KENDQyQSiZxuOx/Hetpsx2P6dcj1dnNlaOhJVqw4/xdSTU0X0dv7wwva9thYhkRi42JDm9dijslCXotS+HuZbT9KIe5sF100xPPPP5e3mKc/Q5bi+uuvX9A5aCETDYuIlJzN6xvZvL5xRlvniYiCkZJmZjcBp939MTPbOtd67r4f2A/Bl3xLTSo/9KGPs2bNl5a0jXNt29bJF7+4lQcf/AA33HAkp9uelq9tnzz5cR5//Et5+bIhH8d62mzHY/p1yPV2c2Wh2962rZMvf/nmC9z2xsjjzraQ16IYjvX5zLYfpRB3tm3bOrnjjr/IW8zTnyGFoCGCIiIi87sWeIeZ9QAdwFvM7DPRhiQiIsVKPVgSnZ6HoGs/9D8XTIzaulPV0ESk6Lj7R4CPAIQ9WLvc/d2RBiUiIkVLCZZEo+ehYILUWB0kVkO6N7ivOXwkR2a7BktEREQk35RgSTS69gfJ1Yr64P70smu/EixZskPH+7jr4BHisSouTqygdzDDXQeP8FtXTkYdWsk4+XQ/hztTDPSOsrKphqu2JlmzoSHqsCLn7p1AZ8RhiIhIEdM1WBKN/ueCBCtbrC5oF1miA4/0EI9VUV9TRYUZ9TVVxGNV9A2NRR1aSTj5dD8P33eMkYEM8ZXVjAxkePi+Y5x8uj/q0ERERIqeEiyJRsPlkEnPbMukg3aRJTpxZpi6FTPnSq9bUUlmYiqiiErL4c4U1bFKYrVVmBmx2iqqY5Uc7kxFHZqIiEjRU4Il0WjdGSRUY4PgU8Eykw7aRebT8xDcuwP++ieDZc9DL1tl3ao46bGZwwHTY5PEqvSRtxADvaNU18xMUKtrKhnoHY0oIhERkdKh/zYkGs3XBQUt6ppg6HSwVIELOZ/p4ijp3pnFUc5JsnZsaWY4M8Hg6ART7gyOTjCcmaAxcf6JMwVWNtUwPjozQR0fnWRlU01EEYmIiJQOFbmQ6DRfp4Rqmep+oZuOox2kBlMk65Nsv3I7LZe2nP+BCyyOsnl9I3fetPGcKoIbGD1xOPc7U4au2prk4fuOAUHP1fjoJOOZSVq3JiOOTEREpPgpwRKRgup+oZt93fuoraqlqbaJvpE+9nXvY1fLrvMnWf3PBT1X2eYojrJ5fSOb1zfOaOs8sdTol4c1Gxq49uYrZlQRbFUVQRERkQVRgiUiBdVxtIPaqloSsQTA2WXH0Y7zJ1gNlwfDAqd7rkDFUfJkzYYGJVQiIiKLoGuwRKSgUoMp6qpnluivq64jNbSACnUqjnJB0l3dpG69jWff9S5St95Guqs76pBERETKnhIsESmoZH2S9PjMEv3p8TTJxAKu71FxlAVLd3Vzeu8eJvr6qGxsYqKvj9N79yjJEhERyTMNERQpc+mubvrb2xlPPU91ci0NbW3UtS6goESebL9yO/u69wFBz1V6PM3IxAjbr9y+sA2oOMqC9Le3Y7VxKhPBEMzKRILJsD3K119ERKTcqQdLpIwVYy9Gy6Ut7GrZRWNtI72jvTTWNi6swIVckPHU81TE4zPaKuJxxlOaLFhERCSf1IMlxaXnoaDkdv9zQeGC1p3qrViCYu3FaLm0RQlVnlUn1waJdfjaA0wND1OdVKl1ERGRfFIPlhSPBU4iKwunXozlq6GtDR8ZZnJoCJ+aCpYjwzS0tUUdmoiISFmLJMEys4vM7D4zO2pmT5nZFjNbZWZfNbNj4bIha/2PmNkzZvZdM7sxipilALInkbWKYBmrC9plUaqTa5kaHp7Rpl6M5aGutYXVt++mqrGRyb4+qhobWX37bl1/JSIikmdRDRH8U+D/d/ebzSwGxIGPAg+6+x4z2w3sBm43s43AduC1wCuAr5nZBnefjCh2gfwM5buASWRlYRra2ji9dw+TBD1XU8PDYS/GLVGHJgVQ19qihEpERKTACt6DZWYrgZ8APgXg7hl3/yGwDbgnXO0e4J3h7W1Ah7uPufuzwDNAa2GjlhnyNZSv4fJgTqNsmkR2SdSLISIiIlJYUfRgrQdeBP7OzF4PPAbcClzi7qcA3P2UmU13ZawBDmU9PhW2vYyZ7QR2AlxyySV0dnbmZQdmMzQ0VNDny6ULjr2/B5reEwzjA6glmPT1P5+BnonFB3LRL0LFSbDKYNs+BbFJWLkG5ohvWR33pfj5d750ezg95/FcqFI77unMJH1DY8RtnAOf+zKNiRXUxSqjDuuClNoxz1bKsYuIiFyoKBKsKuBq4Hfc/Ztm9qcEwwHnYrO0+Wwruvt+YD/Apk2bfOvWrUsMdeE6Ozsp5PPl0gXH/tc/GfRcWVYHqE8FE7/+/NeXFswFDj1cVse9iJRS7IeO97Hv4BHisThvv7ifL7/YwHBqgjtv2sjm9Y1Rh7dgpXTMz1XKsYuIiFyoKBKsFJBy92+G9+8jSLB+YGaXhb1XlwGns9Zfm/X4JPD9gkUrL9dweTAscEX9S225GsqnSWQlxw480kM8VkV9TRUG1NdUnW0vpQRLRERESkPBr8Fy9xeA583s1WHTDcAR4H7gvWHbe4EvhrfvB7ab2QozeyVwBdBVwJDlXK07g4RqbDDouRobDO637ow6smWj+4VuPtz5YX7pS7/Ehzs/TPcL0U0cXOxOnBmmbsXM4YB1Kyo5cWZ4jkeIiIiILF5UVQR/B2gPKwgeB36VINm718zeD5wAfgHA3Z80s3sJkrAJ4IOqIBix5uvgxrtnDuW7/qN57XnqfqGbjqMdpAZTJOuTbL9y+7KdqLb7hW72de+jtqqWptom+kb62Ne9j10tu5btMZnPulVxegczZ3uuANJjk6xbFZ/nUSIiIiKLE0mC5e5PAJtm+dUNc6x/N3B3XoOSC1PAoXzzJRTLUcfRDmqraknEEgBnlx1HO5RgzWLHlmbuOngEAK+HwdEJhjMT7NiyIeLIREREpBxFMtGwyIXITijMjEQsQW1VLR1HO6IOLRKpwRR11XUz2uqq60gNpSKKqLhtXt/InTdtpKk+xsTkFE31sZIrcCEiIiKlI6ohgiXj5NP9HO5MMdA7ysqmGq7ammTNhoaow1pWUoMpmmqbZrSdTSgSEQUVoWR9kr6RvrM9VwDp8TTJRDLCqIrb5vWNbF7fSGdnJ7+29ZqowxEREZEyph6seZx8up+H7zvGyECG+MpqRgYyPHzfMU4+3R91aMtKsj5JenzmBMTLOaHYfuV2RiZGGMoM4e4MZYYYmRhh+5XbF/T4dFc3qVtv49l3vYvUrbeR7lKBDBEREZFcUYI1j8OdKapjlcRqqzAzYrVVVMcqOdypoViFtNSEoty0XNrCrpZdNNY20jvaS2Nt44ILXKS7ujm9dw8TfX1UNjYx0dfH6b17lGSJiIiI5IiGCM5joHeU+MrqGW3VNZUM9I5GFNHyNJ1QdBztIDWUIpl4qYpg59HOqMOLRMulLYsqaNHf3o7VxqlMBMMLKxMJJsP2ulYVyBARERFZKiVY81jZVMPIQIZY7UuHaXx0kpVNNRFGtTwtNqGQmcZTz1PZOPN6top4nPGUemVFREREckEJ1jyu2prk4fuOAUHP1fjoJOOZSVq3Ls9rf6T0VSfXBsMDEy8VyJgaHqY6qfd0qdIccSIiIsVF12DNY82GBq69+QpqV8YYHhindmWMa2++QlUEpWQ1tLXhI8NMDg3hU1PBcmSYhra2qEOTRZieI65vpG/GHHHdL+iaOhERkaioB+s81mxoUEIlZaOutYXVt++mv72d8VSK6mSShrZbdP1VidKk0yIiIsVHCZbIMlPX2qKEqkzMO0eciIiIREJDBEVESpTmiBMRESk+SrBEREqU5ogTEREpPkqwRERK1FImnRYREZH80DVYIpJX6a7usKjG81Qn19LQ1qZrwHJIc8SJiIgUF/VgiUjepLu6Ob13TzD3VmMTE319nN67h3SXyoiLiIhIeVIPVgHpm3wpVvl6b/a3t2O18bMTG1cmEkyG7Xrvi4iISDlSD1aB6Jt8KVb5fG+Op56nIh6f0VYRjzOeUhlxERERKU9KsAok+5t8q6gIlrVx+tvbow5Nlrl8vjerk2uZGh6e0TY1PEx1UmXERUREpDwpwSoQfZMvxSqf782GtjZ8ZJjJoSF8aipYjgzT0Na25G2LiIiIuEw5AAAAIABJREFUFCMlWAWib/KlWOXzvVnX2sLq23dT1djIZF8fVY2NrL59t66/EhERkbKlIhcF0tDWxum9e5gk6B2YGh4Ov8m/JerQZJnL93uzrrVFCZWIiIgsG+rBKhB9ky/FSu9NERERkdxRD1YB6Zt8KVZ6b4qIiIjkhnqwREREREREckQJloiIiIiISI4owRIREREREckRJVgiIiIiIiI5ogRLREREREQkR5RgiYiIiIiI5IgSLBERERERkRzRPFgiIqWs5yHo2g/9z0HD5dC6E5qvizoqERGRZUs9WCIiparnIXjgDkj3QmJ1sHzgjqBdREREIqEES0SkVHXth1gdrKgHqwiWsbqgXURERCKhBEtEpFT1PxckVNlidUG7iIiIREIJlohIqWq4HDLpmW2ZdNAuIiIikVCCJSJSqlp3BgnV2CD4VLDMpIN2ERERiYQSLBGRUtV8Hdx4N9Q1wdDpYHnj3aoiKCIiEiGVaRcRKWXN1ymhEhERKSKR9WCZWaWZ/aeZHQzvrzKzr5rZsXDZkLXuR8zsGTP7rpndGFXMIrk0NTxM6tbbePZd7yJ1622ku7qjDklERERElijKIYK3Ak9l3d8NPOjuVwAPhvcxs43AduC1wFuBT5pZZYFjFcmpdFc3E6dOMdHXR2VjExN9fZzeu0dJloiIiEiJiyTBMrMk8LPA32Y1bwPuCW/fA7wzq73D3cfc/VngGaC1ULGK5EN/eztUVFCZSGDTy9p40C4iIiIiJSuqa7D+BPhvQH1W2yXufgrA3U+Z2eqwfQ1wKGu9VNj2Mma2E9gJcMkll9DZ2ZnjsOc2NDRU0OfLJcVeeJkfu4rRlSs5+qYtZ9vcgYkJnimB/SnV416qcYNiFxERKRUFT7DM7CbgtLs/ZmZbF/KQWdp8thXdfT+wH2DTpk2+detCNp8bnZ2dFPL5znXoeB8HHunhxJlh1q2Ks2NLM5vXNy7osVHHvhSlGnvq81/gyBtez5Xf7DrbNjk0RFVjI8n3vy/CyBamVI97qcYNil1ERKRURDFE8FrgHWbWA3QAbzGzzwA/MLPLAMLl6XD9FLA26/FJ4PuFC7f4HTrex10Hj9A7mOHixAp6BzPcdfAIh473RR2azKGhrQ2mppgcGsKnlyPDQbtIgaS7ulVoRUREJMcKnmC5+0fcPenuzQTFK/6nu78buB94b7jae4EvhrfvB7ab2QozeyVwBdCFnHXgkR7isSrqa6qoMKO+pop4rIoDj/REHJnMpa61harLLqOqsZHJvj6qGhtZfftu6lpbog5Nlol0Vzen9+5RoRUREZEcK6Z5sPYA95rZ+4ETwC8AuPuTZnYvcASYAD7o7pPRhVl8TpwZ5uLEihltdSsqOXFmOKKIZCEq4nGSf/onUYchy1R/eztWG6cykQCgMpFgMmxXoi8iIrJ4kSZY7t4JdIa3+4Ab5ljvbuDuggVWYtatitM7mKG+5qWXMz02ybpV8QijEpFiNp56nsrGphltFfE446lURBEVLzNbCxwALgWmgP3u/qfRRiUiIsUqynmwJEd2bGlmODPB4OgEU+4Mjk4wnJlgx5bmqEMTkSJVnVzL1PDMXu6p4WGqk8mIIipqE8CH3f01wGbgg+EcjSIiIi+jBKsMbF7fyJ03baSpPsaLQ2M01ce486aNC64iKCLLT0NbGz4yrEIrC+Dup9z98fD2IPAUc0wXIiIiYu6zVjwveZs2bfJHH320YM9XymWIFXs0FHvhLTjunoegaz/0PwcNl0PrTmi+Lu/xzScfxzzd1U1/ezvjqRTVySQNbW15uf4ql7Gb2WPuviknG1vc8zcD/wG8zt0Hzvld9lyM13R0dCzpuZ566hmqq390Sds410UXDfHDHyYYHHyS+vrX5nTb0/K17aGhJ1mxYgVNTRfR2/vDnG57bCxDIpGfTsnZjsf065Dr7ebKQre9mP0ohrizLWQfii3m2cy2H6UQd7aLLhri+eefy1vM4+PP8JrXLO0z9frrr1/QOaiYilyISKEUYQJRNHoeggfugFgdJFZDuje4f+PdZXeM6lpbVNDiAphZAvgscNu5yRXkfi7GD33o46xZ86UlbeNc27Z18sUvbuXBBz/ADTccyem2p+Vr29Pb3batky9/+eYcb3tjQY/H9OuQ6+3mykK3vZj9KIa4sy1kH4ot5tnMth+lEHe2bds6ueOOv8hbzCdPfpzHH8/tZ+pclGBJSTj5dD+HO1MM9I6ysqmGq7YmWbOhIeqwStMySiAWpWt/cGxW1Af3p5dd+3V8ljEzqyZIrtrd/XNRxyMiIsVL12BJ0Tv5dD8P33eMkYEM8ZXVjAxkePi+Y5x8uj/q0EpTdgJhFcEyVhe0S9CrF6ub2RarC9plWTIzAz4FPOXun4g6HhERKW5KsKToHe5MUR2rJFZbhZkRq62iOlbJ4U6Vk14UJRDza7gcMumZbZl00C7L1bXAe4C3mNkT4c/bow5KRESKkxIsKXoDvaNU11TOaKuuqWSgdzSiiEqcEoj5te4MjsfYIPhUsMykg3ZZltz9IXc3d/8xd39D+PPlqOMSEZHipARLit7KphrGRydntI2PTrKyqSaiiErcMksgDh3v4wPtj3HTn3+DE2eGOXS8b/4HNF8XXI9W1wRDp4Olrk8TERGRBVKRCyl6V21N8vB9x4Cg52p8dJLxzCStW5Mc+/55/lmWl5tOILKrCF7/0eJPIBZR+fDQ8T7uOniEeKyKixMrmJgc4K6DR84/T1zzdcV/PERERKQoKcGSordmQwPX3nzFjCqCrWEVwWPfjzq6ElVqCcQiKx8eeKSHeKyK+prgo66ywojHqjjwSI8m4hYREZG8UIIlJWHNhgaVZV/OFlk6/cSZYS5OrJjRVreikhNnhvMVqYiIiCxzugZLRIrfIisfrlsVJz028/q99Ngk61bFcx2hiIiICKAES0RKwSIrH+7Y0sxwZoLB0Qmm3JmccoYzE+zY0py/WEVERGRZU4IlIsVvkZUPN69v5M6bNtJUH+PFoTGqKu38BS5ERERElkDXYIlI8VtC5cPN6xvPJlSdnZ1KrkRERCSvlGCJSGkotcqHIiIisiwpwZKcOfl0/4xS6leFpdRFRERERJYLXYMlOXHy6X4evu8YIwMZ4iurGRnI8PB9xzj5dH/UoYmIiIiIFIwSLMmJw50pqmOVxGqrMDNitVVUxyo53JmKOjQRERERkYLREEHJiYHeUeIrq2e0VddUMtA7GlFEkgvprm7629sZTz1PdXItDW1t1LW2RB2WiIiISNFSD5bkxMqmGsZHZ07oOj46ycqmmogikqVKd3Vzeu8eJvr6qGxsYqKvj9N795Du6o46NBEREZGipQRLcuKqrUnGM5NkRiZwdzIjE4xnJrlqazLq0GSR+tvbsdo4lYkEVlERLGvj9Le3Rx2aiIiISNFSgiU5sWZDA9fefAW1K2MMD4xTuzLGtTdfoSqCJWw89TwV8fiMtop4nPGUrqsTERERmYuuwZKcWbOhoSgTKl1HtDjVybXB8MBE4mzb1PAw1Un1SoqIiIjMRT1YUtZ0HdHiNbS14SPDTA4N4VNTwXJkmIa2tqhDKx09D8G9O+CvfzJY9jwUdUQiIiKSZ+rBksgUYmLi7OuIACoTCSbDdvViza+utYXVt+8Oe/9SVCeTNLTdEhy3zs6owyt+PQ/BA3dArA4SqyHdG9y/8W5ovm7Gqt0vdNNxtIPUYIpkfZLtV26n5VK9P0VEREqREiyJxPTExNWxyhkTE+f6uq3x1PNUNjbNaNN1RAtX19qiRHSxuvYHydWK+uD+9LJr/4wEq/uFbvZ176O2qpam2ib6RvrY172PXS27lGSJiIiUIA0RlEgUamLi6uRapoaHZ7TpOiIpiP7nggQrW6wuaM/ScbSD2qpaErEEZkYilqC2qpaOox0FDFZERERyRQmWRGKgd5TqmsoZbfmYmFjXEUlkGi6HTHpmWyYdtGdJDaaoq56ZiNVV15EaUi+riIhIKVKCJZEo1MTE09cRVTU2MtnXR1VjI6tv361hb5J/rTuDhGpsEHwqWGbSQXuWZH2S9PjMRCw9niaZUC+riIhIKdI1WBKJq7Ymefi+Y0DQczU+Osl4ZpLWPExMrOuIJBLN1wUFLbr2B8MCGy6H6z/6sgIX26/czr7ufUDQc5UeTzMyMcL2K7dHEbWIiIgskRIsicT0xMTZVQRb81BFUKJ36HgfBx7p4cSZYdatirNjSzOb1zdGHVZhNF/3soTqXC2XtrCrZVdQRXAoRTKhKoIiIiKlTAmWRKZYJyaW3Dl0vI+7Dh4hHqvi4sQKegcz3HXwCHfetHH5JFkL0HJpixIqERGRMqFrsEQkbw480kM8VkV9TRUVZtTXVBGPVXHgkZ6IIxMRERHJDyVYIpI3J84MU7diZrXIuhWVnDgzPMcjREREREqbEiwRyZt1q+Kkx2ZWi0yPTbJuVTyiiERERETySwmWiOTNji3NDGcmGBydYMqdwdEJhjMT7NjSHHVoIiIiInlR8ATLzNaa2b+b2VNm9qSZ3Rq2rzKzr5rZsXDZkPWYj5jZM2b2XTO7sdAxi8jibF7fyJ03baSpPsaLQ2M01cdU4GKBDh3v4wPtj3HTn3+DD7Q/Rjozef4HiYiISOSiqCI4AXzY3R83s3rgMTP7KvArwIPuvsfMdgO7gdvNbCOwHXgt8Arga2a2wd3130YZW9alvcvM5vWNeu0u0GzVF09Vj3DoeF/BjmW6q5v+9nbGU89TnVxLQ1ub5pMTERFZgIL3YLn7KXd/PLw9CDwFrAG2AfeEq90DvDO8vQ3ocPcxd38WeAZoLWzUUkjT/1z2DmZmlPY+dLwv6tBECmK26osVZgWrvpju6ub03j1M9PVR2djERF8fp/fuId3VXZDnFxERKWWRXoNlZs3AjwPfBC5x91MQJGHA6nC1NcDzWQ9LhW1SplTaW5a72aovVlRYwaov9re3Y7VxKhMJrKIiWNbG6W9vL8jzi4iIlLLIJho2swTwWeA2dx8wszlXnaXN59jmTmAnwCWXXEJnZ2cOIl2YoaGhgj5fLhVb7FdXD1F1ccWMF97rYWJy6mVxFlvsF0KxF16pxP2La4aZmBygsuKlv4JExTi/uGawIPFnfuwqqKom+2PZHZiY4JlFPH+pHHcREZFciCTBMrNqguSq3d0/Fzb/wMwuc/dTZnYZcDpsTwFrsx6eBL4/23bdfT+wH2DTpk2+devWfIQ/q87OTgr5fLlUbLHf2/4YvWcy1Ne89PYcHJ2gqT7Gr229Zsa6xRb7hVDshVcqcWdfg1W3opL02CQ/s6qP1216Y0GuwUp9/gvB8MBE4mzb5NAQVY2NJN//vgveXqkcdxERkVyIooqgAZ8CnnL3T2T96n7gveHt9wJfzGrfbmYrzOyVwBVAV6HilcJTaW9Z7marvnjZRbUFK3DR0NaGjwwzOTSET00Fy5FhGtraCvL8IiIipSyKHqxrgfcAh83sibDto8Ae4F4zez9wAvgFAHd/0szuBY4QVCD8oCoIlrfpfy5nVhHcoEp0sqycW32xkEPs6lpbWH377rCKYIrqZJKGtltURVBERGQBCp5guftDzH5dFcANczzmbuDuvAUlRUelvUWiVdfaooRKRERkESKtIigiIiIiIlJOlGCJiIiIiIjkiBIsERERERGRHFGCJSIiIiIikiNKsERERERERHJECZaIiIiIiEiORDEPlohIznS/0E3H0Q5SgymS9Um2X7mdlktVXlxERESioR4sESlZ3S90s697H30jfTTVNtE30se+7n10v9AddWgiIiKyTCnBEpGS1XG0g9qqWhKxBGZGIpagtqqWjqMdUYcmIiIiy5SGCIpk0XCz0pIaTNFU2zSjra66jtRQKqKIREREZLlTD5ZISMPNSk+yPkl6PD2jLT2eJplIRhSRiIiILHfqwTqPQ8f7OPBID0+dGmAkM0lNdQUbX/Ej7NjSzOb1jVGHJzmUPdwMOLvsONqhXqwitf3K7ezr3gcEPVfp8TQjEyNsv3J7xJGJiIjIcqUerHkcOt7HXQePcPzFNC8OjJEem6R3KMPx00PcdfAIh473RR2i5FBqMEVddd2MNg03K24tl7awq2UXjbWN9I720ljbyK6WXUqIRUREJDLqwZrHgUd6iMeq6OlLU1VZQVWFMTE1xZn0OM1NdRx4pEe9WGUkWZ+kb6TvbM8VaLhZKWi5tEUJlYiIiBQN9WDN48SZYepWVDIyPkllhQFQacbI+CR1Kyo5cWY44ggll7ZfuZ2RiRGGMkO4O0OZIQ03ExEREZELogRrHutWxUmPTVJbXcnklAMw6U5tdSXpsUnWrYpHHKHkkoabiYiIiMhSaYjgPHZsaeaug0dYVRcjdWaYySnDcS5dWc1wZoIdWzZEHaLkmIabiYiIiMhSqAdrHpvXN3LnTRtZf3EdF6+soW5FJU2JGOtXJ7jzpo26/kpERERERGZQD9Z5bF7fqERKREREREQWRD1YIiIiIiIiOaIES0REREREJEeUYImIiIiIiOSIEiwREREREZEcUYIlIiIiIiKSI0qwREREREREckQJloiIiIiISI4owRIREREREckRJVgiIiIiIiI5ogRLREREREQkR5RgiYiInIeZvdXMvmtmz5jZ7qjjERGR4qUES0REZB5mVgn8BfA2YCPwy2a2MdqoRESkWCnBEhERmV8r8Iy7H3f3DNABbIs4JhERKVLm7lHHkBdm9iLwXAGfsgnoLeDz5ZJij4ZiL7xSjRsU+7TL3f3iHG1rQczsZuCt7v5r4f33AG90998+Z72dwM7w7quB7xYyzgUq5ffRNO1D8SiH/SiHfYDy2I9S2IcFnYOqChFJFCI4AT/q7psK+Zy5otijodgLr1TjBsUeMZul7WXfTrr7fmB//sNZvDJ4LbQPRaQc9qMc9gHKYz/KYR+maYigiIjI/FLA2qz7SeD7EcUiIiJFTgmWiIjI/LqBK8zslWYWA7YD90cck4iIFKmyHSIYgaIeFnIeij0air3wSjVuUOyRcfcJM/tt4AGgEvi0uz8ZcViLVdKvRUj7UDzKYT/KYR+gPPajHPYBKOMiFyIiIiIiIoWmIYIiIiIiIiI5ogRLREREREQkR5RgXSAzW2tm/25mT5nZk2Z2a9j+MTM7aWZPhD9vjzrW2ZhZj5kdDmN8NGxbZWZfNbNj4bIh6jjPZWavzjq2T5jZgJndVqzH3cw+bWanzew7WW1zHmcz+4iZPWNm3zWzG6OJ+mwss8X+P8zsqJl928w+b2YXhe3NZjaSdfz/KrrI54x9zvdICRz3f86Ku8fMngjbi+a4z/OZWBLv93JSTq+FmVWa2X+a2cHwfinuw0Vmdl/42fmUmW0ptf0ws98N30vfMbN/MrOaUtiHXJ2DzewaC/5nesbM/szMZpuyoZD7MOu5uJT2Iet3u8zMzaypmPdh0dxdPxfwA1wGXB3ergeeBjYCHwN2RR3fAuLvAZrOaftjYHd4ezewN+o4z7MPlcALwOXFetyBnwCuBr5zvuMcvn++BawAXgl8D6gssth/BqgKb+/Nir05e72of+aIfdb3SCkc93N+/3Hg94vtuM/zmVgS7/dy+imn1wL4EPCPwMHwfinuwz3Ar4W3Y8BFpbQfwBrgWaA2vH8v8CulsA9znAsuOG6gC9hCMBfevwFvi3gf5joXl8w+hO1rCYoGPUf4P2mx7sNif9SDdYHc/ZS7Px7eHgSeIvgQKmXbCE4EhMt3RhjLQtwAfM/dn4s6kLm4+38AZ85pnus4bwM63H3M3Z8FngFaCxLoLGaL3d2/4u4T4d1DBPMAFZ05jvtciv64Twu/rftF4J8KGtQCzPOZWBLv93JSLq+FmSWBnwX+Nqu51PZhJcE/l58CcPeMu/+QEtsPgmrTtWZWBcQJ5n8r+n3IxTnYzC4DVrr7Ix78l3+AAv5/dIHn4pLZh9D/C/w3Zk7YXpT7sFhKsJbAzJqBHwe+GTb9dtht+2krwmF2IQe+YmaPmdnOsO0Sdz8FwQkaWB1ZdAuznZn/aJbCcYe5j/Ma4Pms9VIUd9L+PoJvkKa9MhzK83Uze3NUQZ3HbO+RUjrubwZ+4O7HstqK7rif85lYLu/3klTir8WfEPzzNZXVVmr7sB54Efi78O/0b82sjhLaD3c/CewDTgCngP9y969QQvtwjguNe014+9z2YpF9Li6ZfTCzdwAn3f1b5/yqZPZhIZRgLZKZJYDPAre5+wDwl8CrgDcQfBB9PMLw5nOtu18NvA34oJn9RNQBXQgLJvl8B/AvYVOpHPf5zDaWuCjnTzCzO4AJoD1sOgWsc/cfJxzSE35zW0zmeo+UzHEHfpmZXyoU3XGf5TNxzlVnaSvW416SSvm1MLObgNPu/thCHzJLWzG8n6oIhkb9Zfh3miYYljaXotuP8MuobQTDtV4B1JnZu+d7yCxtxfBanM9ccRft/sxyLi6JfTCzOHAH8Puz/XqWtqLbh4VSgrUIZlZNcPJqd/fPAbj7D9x90t2ngL+hOLr2X8bdvx8uTwOfJ4jzB2EXLOHydHQRntfbgMfd/QdQOsc9NNdxThGMR56WJBiGUVTM7L3ATUBb2E1P2JXfF95+jGDM9Iboony5ed4jpXLcq4D/A/jn6bZiO+6zfSZS4u/3UlUGr8W1wDvMrAfoAN5iZp+htPYBgrhS7j49wuU+goSrlPbjp4Bn3f1Fdx8HPge8idLah2wXGneKmcPhi2J/ZjsXUzr78CqChP1b4d94EnjczC6ldPZhQZRgXaDwWohPAU+5+yey2i/LWu3ngZdVTImamdWZWf30bYKLJb8D3A+8N1ztvcAXo4lwQWZ8k18Kxz3LXMf5fmC7ma0ws1cCVxBc0Fk0zOytwO3AO9x9OKv9YjOrDG+vJ4j9eDRRzm6e90jRH/fQTwFH3f3sEIliOu5zfSZSwu/3UlUOr4W7f8Tdk+7eTDAc/H+6+7spoX0AcPcXgOfN7NVh0w3AEUprP04Am80sHr63biC4rq+U9iHbBcUdDiMcNLPN4f7vIOL/j+Y6F1Mi++Duh919tbs3h3/jKYLCPC+Uyj4smBdBpY1S+gGuI+ia/DbwRPjzduAfgMNh+/3AZVHHOkvs6wkqtHwLeBK4I2xvBB4EjoXLVVHHOkf8caAP+JGstqI87gRJ4ClgnOAD5P3zHWeCLvPvAd8l4uo4c8T+DMHY6On3/F+F674rfC99C3gc+LkijH3O90ixH/ew/e+B3zxn3aI57vN8JpbE+72cfsrttQC28lIVwZLbB4JhyY+Gr8cXgIZS2w/gD4GjBF9M/QNBhbei34c5zgUXHDewKdz37wH/H2AR78Os5+JS2odzft9DVmXrYtyHxf5YGLiIiIiIiIgskYYIioiIiIiI5IgSLBERERERkRxRgiUiIiIiIpIjSrBERERERERyRAmWiIiIiIhIjijBElkkM7vDzJ40s2+b2RNm9sZFbOOfwsf/bj5iLAQz+3MzazezP4o6FhEReTkzmwzPU98xs38xs/gc633ZzC4qUEwfM7Ndc/zuOjPrMrPHwvPLrPGKFKuqqAMQKUVmtoVgJvWr3X3MzJqA2AU8vgpoAt7k7pfnKcyCcPffMbNLgD+POhYREZnViLu/AcDM2oHfBM5ORh1O4Gru/vaI4jvLzBqBzwA/4+5Pm9k7gFXA8PyPFCke6sESWZzLgF53HwNw9153/z6AmfWECRdmtsnMOsPbHzOz/Wb2FeAA8BVgdfit4pvN7NfNrNvMvmVmn53+xs7MLjGzz4ft3zKzN4Xt7w6/4XvCzP7azCrPDdLMrjGzr4ffAj5gZpeF7Z1mtjd8/NNm9uZZHrs1fOy94Tp7zKwtfMxhM3tVuN46YA/BCVtERIrbN4AfNbNmM3vKzD5JMGH52unzl5m1hKMrasysLhyt8bpzNzTXecjMhszs7vCcdSj8Em5O4fnv38ysFngH8IC7Pw3g7ve7eyrnR0Ekj5RgiSzOVwhORk+b2SfN7CcX+LhrgG3u/n8SnES+5+5vcPdvAJ9z9xZ3fz3wFMGs7QB/Bnw9bL8aeNLMXgP8EnBt+K3kJNCW/URmVk3Qq3Szu18DfBq4O2uVKndvBW4D/mCOeF8P3ApcBbwH2BA+5m+B3wl74h4h6L27Y4HHQEREIhB+Zr8NOBw2vRo44O4/7u7PTa/n7t3A/cBdwB8Dn3H375yzrfnOQ3XAofC89R/Ar88T028DPwe8M/z5Y+DtYdL2hJmtWeJuixSchgiKLIK7D5nZNcCbgeuBfzaz3e7+9+d56P3uPjLH715nZncBFwEJ4IGw/S3AjvB5J4H/MrP3ECRr3cHIDmqB0+ds79XA64CvhutUAqeyfv+5cPkY0DxHTN3ufgrAzL5HkFhCcHK+3t0nAJ38RESKW62ZPRHe/gbwKeAVwHPufmiOx/zfQDcwCtwyy+9vYO7zUAY4GN5+DPjpOZ7jPUAKeKe7j4fbyfbf3f3kPPslUpSUYIksUpjsdAKdZnYYeC/w98AEL/UO15zzsPQ8m/x7gpPMt8zsV4Ct86xrwD3u/pHzrPOku2+Z4/dj4XKSuT8LxrJuT2Xdn5rnMSIiUlzOXoM1LUxm5jsnrSL4sq+a4Fx27rrznYfG3d3D2/OdY74DvAFIAs+6+z+FwwTf6O6/MU9sIkVNQwRFFsHMXm1mV2Q1vQGYHl7RQ/CtHsC7LmCz9cCpcGhf9nC/B4HfCp+30sxWhm03m9nqsH2VmZ1bLOO7wMVhQQ7MrNrMXnsB8YiIyPK1H/g9oB3YO8vvF3IeOp//BH4DuN/MXhG23Q+81cw2hNv9OTNLLmYHRKKiBEtkcRLAPWZ2xMy+DWwEPhb+7g+BPzWzbxB8c7dQvwd8E/gqcDSr/Vbg+rCX7DHgte5+BLgT+Er4/F8lKLxxlrtngJuBvWb2LeAJ4E0XtJciIrLsmNkOYMLd/5GgiFGLmb27wr8OAAAAeUlEQVQle52FnIcWwt0fAnYB/2pmTe7eSzAsvt3MHge2A31L2iGRArOXenBFRERERERkKdSDJSIiIiIikiNKsERERERERHJECZaIiIiIiEiOKMESERERERHJESVYIiIiIiIiOaIES0REREREJEeUYImIiIiIiOTI/wYNsm7dJAkl7AAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 864x432 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Fixer une graine pour la reproductibilité\n",
"np.random.seed(42)\n",
"\n",
"# Génération de données fictives\n",
"n = 100\n",
"villes = ['Paris', 'Lyon', 'Marseille', 'Bordeaux', 'Lille']\n",
"types_biens = ['Appartement', 'Maison']\n",
"\n",
"data = {\n",
" 'Ville': np.random.choice(villes, n),\n",
" 'Type': np.random.choice(types_biens, n),\n",
" 'Surface_m2': np.random.randint(20, 200, n), # Surface entre 20 et 200 m²\n",
" 'Prix_k€': np.random.randint(100, 1500, n), # Prix entre 100k et 1.5M€\n",
" 'Nombre_pieces': np.random.randint(1, 6, n), # Entre 1 et 5 pièces\n",
" 'Année_construction': np.random.randint(1950, 2023, n) # Année entre 1950 et 2023\n",
"}\n",
"\n",
"# Création d'un DataFrame\n",
"df = pd.DataFrame(data)\n",
"\n",
"# Affichage des statistiques descriptives\n",
"print(\"Statistiques descriptives :\")\n",
"print(df.describe())\n",
"\n",
"# Création de la figure pour les graphiques\n",
"plt.figure(figsize=(12, 6))\n",
"\n",
"# Scatter plot : Relation entre la surface et le prix\n",
"plt.subplot(1, 2, 1)\n",
"for ville in df[\"Ville\"].unique():\n",
" ville_data = df[df[\"Ville\"] == ville]\n",
" plt.scatter(ville_data[\"Surface_m2\"], ville_data[\"Prix_k€\"], label=ville, alpha=0.7)\n",
"\n",
"plt.title(\"Relation entre la surface et le prix de l'immobilier\")\n",
"plt.xlabel(\"Surface en m²\")\n",
"plt.ylabel(\"Prix en k€\")\n",
"plt.legend()\n",
"plt.grid()\n",
"\n",
"# Histogramme des prix de l'immobilier\n",
"plt.subplot(1, 2, 2)\n",
"plt.hist(df[\"Prix_k€\"], bins=15, color='blue', edgecolor=\"black\", alpha=0.7)\n",
"plt.title(\"Répartition des prix de l'immobilier\")\n",
"plt.xlabel(\"Prix en k€\")\n",
"plt.ylabel(\"Fréquence\")\n",
"plt.grid()\n",
"\n",
"# Affichage des graphiques\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
...
...
@@ -16,10 +115,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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