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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "notas[\"nota\"].plot(kind='hist')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "3VcI7Lp2xMxL", + "outputId": "800ed4db-c6a9-40cc-e63a-e2d78c4b9a66" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 9 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "mediana=notas[\"nota\"].median()\n", + "media=notas[\"nota\"].mean()\n", + "print(f\"mediana é {mediana}\")\n", + "print(f\"media é {media}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6kqdiIF_yCzk", + "outputId": "25d9352e-78f6-4e20-9bdd-a5ca9163d67c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "mediana é 3.5\n", + "media é 3.501556983616962\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "notas[\"nota\"].describe()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 335 + }, + "id": "Uo_Sn0WK0xPN", + "outputId": "c7cfde62-d8e1-43a9-8842-6b1b7809d717" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "count 100836.000000\n", + "mean 3.501557\n", + "std 1.042529\n", + "min 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" + ] + }, + "metadata": {}, + "execution_count": 11 + } + ] + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "sns.boxplot(notas[\"nota\"])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sJu0kNUe2Efd", + "outputId": "acb048db-dfba-4709-f753-16bb3aaee622" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/seaborn/categorical.py:640: FutureWarning: SeriesGroupBy.grouper is deprecated and will be removed in a future version of pandas.\n", + " positions = grouped.grouper.result_index.to_numpy(dtype=float)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 12 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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yXl1DJElXr17Vjh079Oabb+rSpUuSpPz8fJWWlvpsOAAAAH/w6gzRt99+q6FDhyovL0/l5eW65557FBoaqhdffFHl5eVatmyZr+cEAACoMV6dIZo6dap69+6tCxcuqH79+u7t9913nzIyMnw2HAAAgD94dYbo448/1qeffiq73e6xvVWrVvrnP//pk8EAAAD8xaszRFVVVaqsrLxm+5kzZxQaGnrDQwEAAPiTV0E0ZMgQvfLKK+77NptNpaWlmj17Nj/nAQAAah2v3jJbuHCh4uPj1alTJ12+fFnjxo3TsWPH1LRpU7377ru+nhEAAKBGeRVELVq00BdffKE1a9bo0KFDKi0tVVJSksaPH+9xkTUAAEBt4FUQSVJwcLAmTJjgy1kAAAAs4VUQrVy58kf3T5w40athAAAArOBVEE2dOtXjfkVFhf7973/LbrerQYMGBBEAAKhVvPqU2YULFzxupaWlOnr0qPr168dF1QAAoNbx+rfMvq9t27aaN2/eNWePAAAAAp3Pgkj67kLr/Px8Xz4kAABAjfPqGqIPPvjA477L5VJBQYFef/113XnnnT4ZDAAAwF+8CqKRI0d63LfZbGrWrJkGDhyohQsX+mIuAAAAv/EqiKqqqnw9BwAAgGV8eg0RAABAbeTVGaKUlJSfvXbRokXePAUAAIDfeBVEn3/+uT7//HNVVFSoffv2kqSvv/5aQUFB6tmzp3udzWbzzZQAAAA1yKsgGj58uEJDQ/XOO++oUaNGkr77ssbJkyerf//+euKJJ3w6JAAAQE3y6hqihQsXKjU11R1DktSoUSPNnTuXT5kBAIBax6sgcjqdOnv27DXbz549q0uXLt3wUAAAAP7kVRDdd999mjx5sjZs2KAzZ87ozJkz+tvf/qakpCSNGjXK1zMCAADUKK+uIVq2bJmmT5+ucePGqaKi4rsHCg5WUlKSFixY4NMBAQAAappXQdSgQQO98cYbWrBggU6cOCFJuu2229SwYUOfDgcAAOAPN/TFjAUFBSooKFDbtm3VsGFDuVwuX80FAADgN14F0blz5zRo0CC1a9dOw4YNU0FBgSQpKSmJj9wDAIBax6sgevzxx1W3bl3l5eWpQYMG7u3333+/tm7d6rPhAAAA/MGra4i2b9+ubdu2qUWLFh7b27Ztq2+//dYngwEAAPiLV2eIysrKPM4MVTt//rxCQkJueCgAAAB/8iqI+vfvr5UrV7rv22w2VVVVaf78+br77rt9NhwAAIA/ePWW2fz58zVo0CAdPHhQV65c0VNPPaXc3FydP39ee/bs8fWMAAAANcqrM0RdunTR119/rX79+mnEiBEqKyvTqFGj9Pnnn+u222772Y+TmZmp4cOHKzo6WjabTRs3bvTY73K5NGvWLDVv3lz169fX4MGDdezYMY8158+f1/jx4xUWFqbw8HAlJSWptLTUY82hQ4fUv39/1atXTzExMZo/f743hw0AAG5S1x1EFRUVGjRokIqLi/WHP/xB69at09///nfNnTtXzZs3v67HKisrU/fu3bVkyZIf3D9//ny9+uqrWrZsmfbt26eGDRsqPj5ely9fdq8ZP368cnNzlZ6erk2bNikzM1OPPPKIe7/T6dSQIUMUGxur7OxsLViwQHPmzNFbb711vYcOAABuUtf9llndunV16NAhnzx5QkKCEhISfnCfy+XSK6+8omeeeUYjRoyQJK1cuVKRkZHauHGjxowZoy+//FJbt27VgQMH1Lt3b0nSa6+9pmHDhumll15SdHS0Vq1apStXrmj58uWy2+3q3LmzcnJytGjRIo9wAgAA5vLqLbMJEybo7bff9vUsHk6ePKnCwkINHjzYvc3hcKhPnz7KysqSJGVlZSk8PNwdQ5I0ePBg1alTR/v27XOvGTBggOx2u3tNfHy8jh49qgsXLtToMQAAgNrBq4uqr169quXLl2vHjh3q1avXNb9htmjRohserLCwUJIUGRnpsT0yMtK9r7CwUBERER77g4OD1bhxY481rVu3vuYxqvc1atTomucuLy9XeXm5+77T6bzBowEAAIHsuoLom2++UatWrXTkyBH17NlTkvT11197rLHZbL6bziKpqal69tlnrR4DAAD4yXUFUdu2bVVQUKCPPvpI0nc/1fHqq69ecxbHF6KioiRJRUVFHhdrFxUVqUePHu41xcXFHn939epVnT9/3v33UVFRKioq8lhTfb96zffNnDlTKSkp7vtOp1MxMTE3dkAAACBgXdc1RN//NfstW7aorKzMpwNVa926taKiopSRkeHe5nQ6tW/fPsXFxUmS4uLidPHiRWVnZ7vX7Ny5U1VVVerTp497TWZmpioqKtxr0tPT1b59+x98u0ySQkJCFBYW5nEDAAA3L68uqq72/UC6XqWlpcrJyVFOTo6k7y6kzsnJUV5enmw2m6ZNm6a5c+fqgw8+0OHDhzVx4kRFR0dr5MiRkqSOHTtq6NChevjhh7V//37t2bNHU6ZM0ZgxYxQdHS1JGjdunOx2u5KSkpSbm6u1a9dq8eLFHmeAAACA2a7rLTObzXbNNUI3cs3QwYMHPX7qozpSJk2apLS0ND311FMqKyvTI488oosXL6pfv37aunWr6tWr5/6bVatWacqUKRo0aJDq1Kmj0aNH69VXX3Xvdzgc2r59u5KTk9WrVy81bdpUs2bN4iP3AADAzea6jtM8derUUUJCgvsHXD/88EMNHDjwmk+ZbdiwwbdTWszpdMrhcKikpIS3z4Cf0OrpzVaPAPjUqXmJVo8AL13Pv9/XdYZo0qRJHvcnTJhw/dMBAAAEmOsKohUrVtTUHAAAAJa5oYuqAQAAbgYEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIwXbPUAAAAEslZPb7Z6hOt2al6i1SPUOpwhAgAAxiOIAACA8QgiAABgPIIIAAAYjyACAADGI4gAAIDxCCIAAGA8gggAABiPIAIAAMYjiAAAgPEIIgAAYDyCCAAAGI8gAgAAxiOIAACA8QgiAABgvGCrBwDwv7V6erPVIwCAEThDBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjBfQQTRnzhzZbDaPW4cOHdz7L1++rOTkZDVp0kS33HKLRo8eraKiIo/HyMvLU2Jioho0aKCIiAg9+eSTunr1qr8PBQAABLBgqwf4KZ07d9aOHTvc94OD///Ijz/+uDZv3qz169fL4XBoypQpGjVqlPbs2SNJqqysVGJioqKiovTpp5+qoKBAEydOVN26dfXCCy/4/VgAAEBgCvggCg4OVlRU1DXbS0pK9Pbbb2v16tUaOHCgJGnFihXq2LGj9u7dq759+2r79u36xz/+oR07digyMlI9evTQ888/rxkzZmjOnDmy2+3+PhwAABCAAvotM0k6duyYoqOjdeutt2r8+PHKy8uTJGVnZ6uiokKDBw92r+3QoYNatmyprKwsSVJWVpa6du2qyMhI95r4+Hg5nU7l5ub+z+csLy+X0+n0uAEAgJtXQAdRnz59lJaWpq1bt2rp0qU6efKk+vfvr0uXLqmwsFB2u13h4eEefxMZGanCwkJJUmFhoUcMVe+v3ve/pKamyuFwuG8xMTG+PTAAABBQAvots4SEBPd/d+vWTX369FFsbKzWrVun+vXr19jzzpw5UykpKe77TqeTKAIA4CYW0GeIvi88PFzt2rXT8ePHFRUVpStXrujixYsea4qKitzXHEVFRV3zqbPq+z90XVK1kJAQhYWFedwAAMDNq1YFUWlpqU6cOKHmzZurV69eqlu3rjIyMtz7jx49qry8PMXFxUmS4uLidPjwYRUXF7vXpKenKywsTJ06dfL7/AAAIDAF9Ftm06dP1/DhwxUbG6v8/HzNnj1bQUFBGjt2rBwOh5KSkpSSkqLGjRsrLCxMjz32mOLi4tS3b19J0pAhQ9SpUyc98MADmj9/vgoLC/XMM88oOTlZISEhFh8dAAAIFAEdRGfOnNHYsWN17tw5NWvWTP369dPevXvVrFkzSdLLL7+sOnXqaPTo0SovL1d8fLzeeOMN998HBQVp06ZNevTRRxUXF6eGDRtq0qRJeu6556w6JAAAEIBsLpfLZfUQgc7pdMrhcKikpITrieBXrZ7ebPUIAGqhU/MSrR4hIFzPv9+16hoiAACAmkAQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMF2z1AAAAwLdaPb3Z6hGu26l5iZY+P2eIAACA8QgiAABgPIIIAAAYjyACAADG46JqGKM2XmQIAPAPzhABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4BBEAADAeQQQAAIxHEAEAAOMRRAAAwHgEEQAAMF6w1QOgdmr19GarRwAAwGc4QwQAAIxHEAEAAOMRRAAAwHgEEQAAMB5BBAAAjEcQAQAA4xFEAADAeAQRAAAwHkEEAACMRxABAADjEUQAAMB4/JZZAOB3wQAAsBZniAAAgPEIIgAAYDyCCAAAGI8gAgAAxiOIAACA8QgiAABgPIIIAAAYjyACAADGI4gAAIDxCCIAAGA8gggAABjPqCBasmSJWrVqpXr16qlPnz7av3+/1SMBAIAAYEwQrV27VikpKZo9e7Y+++wzde/eXfHx8SouLrZ6NAAAYDFjgmjRokV6+OGHNXnyZHXq1EnLli1TgwYNtHz5cqtHAwAAFgu2egB/uHLlirKzszVz5kz3tjp16mjw4MHKysq6Zn15ebnKy8vd90tKSiRJTqezRuarKv93jTwuAAC1RU38G1v9mC6X6yfXGhFE//rXv1RZWanIyEiP7ZGRkfrqq6+uWZ+amqpnn332mu0xMTE1NiMAACZzvFJzj33p0iU5HI4fXWNEEF2vmTNnKiUlxX2/qqpK58+fV5MmTWSz2SycLHA5nU7FxMTo9OnTCgsLs3oc4/F6BBZej8DDaxJYaur1cLlcunTpkqKjo39yrRFB1LRpUwUFBamoqMhje1FRkaKioq5ZHxISopCQEI9t4eHhNTniTSMsLIz/cwkgvB6Bhdcj8PCaBJaaeD1+6sxQNSMuqrbb7erVq5cyMjLc26qqqpSRkaG4uDgLJwMAAIHAiDNEkpSSkqJJkyapd+/e+sUvfqFXXnlFZWVlmjx5stWjAQAAixkTRPfff7/Onj2rWbNmqbCwUD169NDWrVuvudAa3gkJCdHs2bOveasR1uD1CCy8HoGH1ySwBMLrYXP9nM+iAQAA3MSMuIYIAADgxxBEAADAeAQRAAAwHkEEAACMRxDhhmRmZmr48OGKjo6WzWbTxo0brR7JaKmpqbrjjjsUGhqqiIgIjRw5UkePHrV6LGMtXbpU3bp1c3/ZXFxcnLZs2WL1WPg/8+bNk81m07Rp06wexVhz5syRzWbzuHXo0MGSWQgi3JCysjJ1795dS5YssXoUSNq9e7eSk5O1d+9epaenq6KiQkOGDFFZWZnVoxmpRYsWmjdvnrKzs3Xw4EENHDhQI0aMUG5urtWjGe/AgQN688031a1bN6tHMV7nzp1VUFDgvn3yySeWzGHM9xChZiQkJCghIcHqMfB/tm7d6nE/LS1NERERys7O1oABAyyaylzDhw/3uP/HP/5RS5cu1d69e9W5c2eLpkJpaanGjx+vP/3pT5o7d67V4xgvODj4B39Gy984QwTcxEpKSiRJjRs3tngSVFZWas2aNSorK+MngyyWnJysxMREDR482OpRIOnYsWOKjo7WrbfeqvHjxysvL8+SOThDBNykqqqqNG3aNN15553q0qWL1eMY6/Dhw4qLi9Ply5d1yy236L333lOnTp2sHstYa9as0WeffaYDBw5YPQok9enTR2lpaWrfvr0KCgr07LPPqn///jpy5IhCQ0P9OgtBBNykkpOTdeTIEcvej8d32rdvr5ycHJWUlOivf/2rJk2apN27dxNFFjh9+rSmTp2q9PR01atXz+pxIHlcctGtWzf16dNHsbGxWrdunZKSkvw6C0EE3ISmTJmiTZs2KTMzUy1atLB6HKPZ7Xa1adNGktSrVy8dOHBAixcv1ptvvmnxZObJzs5WcXGxevbs6d5WWVmpzMxMvf766yovL1dQUJCFEyI8PFzt2rXT8ePH/f7cBBFwE3G5XHrsscf03nvvadeuXWrdurXVI+F7qqqqVF5ebvUYRho0aJAOHz7ssW3y5Mnq0KGDZsyYQQwFgNLSUp04cUIPPPCA35+bIMINKS0t9Sj5kydPKicnR40bN1bLli0tnMxMycnJWr16td5//32FhoaqsLBQkuRwOFS/fn2LpzPPzJkzlZCQoJYtW+rSpUtavXq1du3apW3btlk9mpFCQ0OvuZ6uYcOGatKkCdfZWWT69OkaPny4YmNjlZ+fr9mzZysoKEhjx471+ywEEW7IwYMHdffdd7vvp6SkSJImTZqktLQ0i6Yy19KlSyVJd911l8f2FStW6MEHH/T/QIYrLi7WxIkTVVBQIIfDoW7dumnbtm265557rB4NCAhnzpzR2LFjde7cOTVr1kz9+vXT3r171axZM7/PYnO5XC6/PysAAEAA4XuIAACA8QgiAABgPIIIAAAYjyACAADGI4gAAIDxCCIAAGA8gggAABiPIAIAAMYjiAAAgPEIIgAAYDyCCAAAGI8gAgAAxvt/DBMOhdJk6JkAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "sns.boxplot(medias_por_filme)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "IE6V2AolSwpI", + "outputId": "15ce8ba9-4471-402f-e113-3121d8d105a8" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/seaborn/categorical.py:640: FutureWarning: SeriesGroupBy.grouper is deprecated and will be removed in a future version of pandas.\n", + " positions = grouped.grouper.result_index.to_numpy(dtype=float)\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 27 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + ] + }, + "metadata": {}, + "execution_count": 28 + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "sns.displot(medias_por_filme, kde=True)\n", + "plt.title(\"Histograma das medias dos filmes\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 546 + }, + "id": "c0tyOhOZXLpq", + "outputId": "86dfef90-98a6-44f4-c8a4-ce117d7b7ffa" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Histograma das medias dos filmes')" + ] + }, + "metadata": {}, + "execution_count": 29 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "tmdb = pd.read_csv(\"https://raw.githubusercontent.com/alura-cursos/data-science-analise-exploratoria/main/Aula_0/tmdb_5000_movies.csv\")\n", + "tmdb.head()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 729 + }, + "id": "LtlJG9czbqlO", + "outputId": "cd1afbcb-cc37-4002-fab0-b30c7bc51fec" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " budget genres \\\n", + "0 237000000 [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam... \n", + "1 300000000 [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"... \n", + "2 245000000 [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam... \n", + "3 250000000 [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"nam... \n", + "4 260000000 [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam... \n", + "\n", + " homepage id \\\n", + "0 http://www.avatarmovie.com/ 19995 \n", + "1 http://disney.go.com/disneypictures/pirates/ 285 \n", + "2 http://www.sonypictures.com/movies/spectre/ 206647 \n", + "3 http://www.thedarkknightrises.com/ 49026 \n", + "4 http://movies.disney.com/john-carter 49529 \n", + "\n", + " keywords original_language \\\n", + "0 [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":... en \n", + "1 [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na... en \n", + "2 [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name... en \n", + "3 [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,... en \n", + "4 [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":... en \n", + "\n", + " original_title \\\n", + "0 Avatar \n", + "1 Pirates of the Caribbean: At World's End \n", + "2 Spectre \n", + "3 The Dark Knight Rises \n", + "4 John Carter \n", + "\n", + " overview popularity \\\n", + "0 In the 22nd century, a paraplegic Marine is di... 150.437577 \n", + "1 Captain Barbossa, long believed to be dead, ha... 139.082615 \n", + "2 A cryptic message from Bond’s past sends him o... 107.376788 \n", + "3 Following the death of District Attorney Harve... 112.312950 \n", + "4 John Carter is a war-weary, former military ca... 43.926995 \n", + "\n", + " production_companies \\\n", + "0 [{\"name\": \"Ingenious Film Partners\", \"id\": 289... \n", + "1 [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"... \n", + "2 [{\"name\": \"Columbia Pictures\", \"id\": 5}, {\"nam... \n", + "3 [{\"name\": \"Legendary Pictures\", \"id\": 923}, {\"... \n", + "4 [{\"name\": \"Walt Disney Pictures\", \"id\": 2}] \n", + "\n", + " production_countries release_date revenue \\\n", + "0 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2009-12-10 2787965087 \n", + "1 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2007-05-19 961000000 \n", + "2 [{\"iso_3166_1\": \"GB\", \"name\": \"United Kingdom\"... 2015-10-26 880674609 \n", + "3 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2012-07-16 1084939099 \n", + "4 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2012-03-07 284139100 \n", + "\n", + " runtime spoken_languages status \\\n", + "0 162.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso... Released \n", + "1 169.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "2 148.0 [{\"iso_639_1\": \"fr\", \"name\": \"Fran\\u00e7ais\"},... Released \n", + "3 165.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "4 132.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "\n", + " tagline \\\n", + "0 Enter the World of Pandora. \n", + "1 At the end of the world, the adventure begins. \n", + "2 A Plan No One Escapes \n", + "3 The Legend Ends \n", + "4 Lost in our world, found in another. \n", + "\n", + " title vote_average vote_count \n", + "0 Avatar 7.2 11800 \n", + "1 Pirates of the Caribbean: At World's End 6.9 4500 \n", + "2 Spectre 6.3 4466 \n", + "3 The Dark Knight Rises 7.6 9106 \n", + "4 John Carter 6.1 2124 " + ], + "text/html": [ + "\n", + "
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budgetgenreshomepageidkeywordsoriginal_languageoriginal_titleoverviewpopularityproduction_companiesproduction_countriesrelease_daterevenueruntimespoken_languagesstatustaglinetitlevote_averagevote_count
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1300000000[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...http://disney.go.com/disneypictures/pirates/285[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...enPirates of the Caribbean: At World's EndCaptain Barbossa, long believed to be dead, ha...139.082615[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...2007-05-19961000000169.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedAt the end of the world, the adventure begins.Pirates of the Caribbean: At World's End6.94500
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3J1q2B1K2hyIeuCWssLCw3Py7du0KR0dHbNiwQW977Nu3D5cvX0ZQUNBjaxk8eDBOnjyJ06dPS8MyMjKwdetWvXZVrae6RowYAWNjY4SHh+vNu2xZZa99586d0bRpU6xevbrca1w2naOjI/r06YPPPvsMN2/eLLesjIyMx9ZiaWlZ4aHsitb91KlTiIuLq3T9+vfvD1NTU6xZs0Zv+oqegDZ48GCcPn1ab775+fnYuHEjPDw8pFMlD/8/KJVKtG7dGkIIFBUVVVqTIQQGBkKtVmPJkiUV1lj22ty5cwf37t3TG+fl5QVra2u99zdVDfeoqVrCw8Oxf/9+9OrVC2+99RaKi4ule0ErO9/cunVr9OnTB126dIGtrS1++eUXfPfdd3oXfHXp0gUAMHPmTAQGBsLY2BijR4+uUa1mZmbYv38/goOD4evri3379mHPnj34n//5H+mCNI1Gg5dffhlr1qyBQqGAl5cXoqKiqnQOtFmzZvjggw+wePFi9OrVCyNGjIBKpcKZM2fg6uqKiIgI9OjRA40aNUJwcDBmzpwJhUKBLVu2lAszU1NTLFu2DJMmTULv3r0xZswY6fYsDw8PzJ49+7G1vPfee9KjJN9++23p9ix3d3e916Wq9VSXl5cXPvroI4SGhuLatWsYNmwYrK2tkZKSgp07d2Lq1Kl49913YWRkhE8//RRDhgxBx44dMWnSJLi4uOC3335DYmKi9IVv3bp16NmzJ9q1a4cpU6bA09MTaWlpiIuLw40bN/Drr78+spYuXbpg+/btmDNnDrp16wYrKysMGTIEL774In744QcMHz4cQUFBSElJwYYNG9C6dWvk5eU9dv0cHBzw7rvvIiIiAi+++CIGDx6M8+fPY9++fbC3t9dr+/777+Prr7/GoEGDMHPmTNja2uKLL75ASkoKvv/+e+nCw4CAADg7O+P555+Hk5MTLl++jLVr1yIoKAjW1tZP9HrUFbVajU8//RTjx49H586dMXr0aDg4OCA1NRV79uzB888/j7Vr1+L3339Hv379MGrUKLRu3RomJibYuXMn0tLSavz/3KA9/QvNqb47duyY6NKli1AqlcLT01Ns2LCh3K1LQpS/Peujjz4SPj4+wsbGRpibm4uWLVuKjz/+WBQWFkptiouLxYwZM4SDg4NQKBTSPMtuK6nodo9H3Z5laWkpkpOTRUBAgLCwsBBOTk5i4cKF5W6lysjIECNHjhQWFhaiUaNGYtq0aSIhIaHS27PKbNq0SXTq1EkAEABE7969RXR0tDT++PHjonv37sLc3Fy4urqK9957Txw4cKDC28K2b98uOnXqJFQqlbC1tRXjxo0TN27ceORr8aALFy6I3r17CzMzM9G4cWOxePFi8fnnn5e7Pas69TysbBuU3d72sO+//1707NlTWFpaCktLS9GyZUsREhIikpKS9Nr9/PPPYsCAAcLa2lpYWlqK9u3bizVr1ui1SU5OFhMmTBDOzs7C1NRUNG7cWLz44oviu+++k9pUdEtSXl6eGDt2rLCxsREApNuTSktLxZIlS4S7u7tQqVSiU6dOIioqqtwtTI9SUlIiwsPDhYuLizA3Nxd9+vQRCQkJ5d7nZbW/9NJLwsbGRpiZmQkfHx8RFRWl1+azzz4T/v7+ws7OTqhUKuHl5SXmzp0rcnNzK60FT3h71sP/R2XT7tixQ2/45s2bBQBx5syZcu0DAwOFRqMRZmZmwsvLS0ycOFH88ssvQgghMjMzRUhIiGjZsqWwtLQUGo1G+Pr6im+//bbSdaPyFEI84VdpIgJw/0ryAQMGIDExkc9bJqJaw3PURLXEw8MDVlZW+Pnnnw1dChE9Q3iOmqgWhIWFwd7eHleuXKn0fCcRUXXw0DdRLfD09MTff/+Nvn37YteuXXX+y2FE1HAwqImIiGSM56iJiIhkjEFNREQkYwzqKhBCQKfTPfFDIYiIiKqLQV0Ft2/fhkajwe3btw1dChERNTAMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg/opE0IgMzMTQghDl0JERPUAg/opy8rKwugVPyArK8vQpRARUT3AoDYApaW1oUsgIqJ6gkFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwYN6oiICHTr1g3W1tZwdHTEsGHDkJSUpNfm3r17CAkJgZ2dHaysrDBy5EikpaXptUlNTUVQUBAsLCzg6OiIuXPnori4WK/N0aNH0blzZ6hUKjRr1gyRkZF1vXpERERPzKBBfezYMYSEhODkyZOIjo5GUVERAgICkJ+fL7WZPXs2/vOf/2DHjh04duwY/v77b4wYMUIaX1JSgqCgIBQWFuLEiRP44osvEBkZiQULFkhtUlJSEBQUhL59+yI+Ph6zZs3C66+/jgMHDjzV9SUiIqo2ISPp6ekCgDh27JgQQoicnBxhamoqduzYIbW5fPmyACDi4uKEEELs3btXGBkZCa1WK7X59NNPhVqtFgUFBUIIId577z3Rpk0bvWW98sorIjAwsEp15ebmCgAiNzf3idZPCCEyMjLEoPBtIiMj44nnRUREzz5ZnaPOzc0FANja2gIAzp49i6KiIvTv319q07JlSzz33HOIi4sDAMTFxaFdu3ZwcnKS2gQGBkKn0yExMVFq8+A8ytqUzeNhBQUF0Ol0eh0REZEhyCaoS0tLMWvWLDz//PNo27YtAECr1UKpVMLGxkavrZOTE7RardTmwZAuG1827nFtdDod7t69W66WiIgIaDQaqXNzc6uVdSQiIqou2QR1SEgIEhIS8M033xi6FISGhiI3N1fq/vzzT0OXREREDZSJoQsAgOnTpyMqKgqxsbFo0qSJNNzZ2RmFhYXIycnR26tOS0uDs7Oz1Ob06dN68yu7KvzBNg9fKZ6Wlga1Wg1zc/Ny9ahUKqhUqlpZNyIioidh0D1qIQSmT5+OnTt34vDhw2jatKne+C5dusDU1BSHDh2ShiUlJSE1NRV+fn4AAD8/P1y8eBHp6elSm+joaKjVarRu3Vpq8+A8ytqUzYOIiEiuDLpHHRISgm3btmH37t2wtraWzilrNBqYm5tDo9Fg8uTJmDNnDmxtbaFWqzFjxgz4+fmhe/fuAICAgAC0bt0a48ePx/Lly6HVajF//nyEhIRIe8VvvPEG1q5di/feew+vvfYaDh8+jG+//RZ79uwx2LoTERFViSEvOQdQYbd582apzd27d8Vbb70lGjVqJCwsLMTw4cPFzZs39eZz7do1MWjQIGFubi7s7e3FO++8I4qKivTaHDlyRHTs2FEolUrh6empt4zK8PYsIiIyFIUQQhjwe0K9oNPpoNFokJubC7Va/UTzyszMxIT10fjyrQGwt7evpQqJiOhZJZurvomIiKg8BjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGTNoUMfGxmLIkCFwdXWFQqHArl279MYrFIoKuxUrVkhtPDw8yo1funSp3nwuXLiAXr16wczMDG5ubli+fPnTWD0iIqInZtCgzs/PR4cOHbBu3boKx9+8eVOv27RpExQKBUaOHKnXbtGiRXrtZsyYIY3T6XQICAiAu7s7zp49ixUrViAsLAwbN26s03UjIiKqDSaGXPigQYMwaNCgR453dnbW69+9ezf69u0LT09PveHW1tbl2pbZunUrCgsLsWnTJiiVSrRp0wbx8fFYuXIlpk6d+uQrQUREVIfqzTnqtLQ07NmzB5MnTy43bunSpbCzs0OnTp2wYsUKFBcXS+Pi4uLg7+8PpVIpDQsMDERSUhJu3bpV4bIKCgqg0+n0OiIiIkMw6B51dXzxxRewtrbGiBEj9IbPnDkTnTt3hq2tLU6cOIHQ0FDcvHkTK1euBABotVo0bdpUbxonJydpXKNGjcotKyIiAuHh4XW0JkRERFVXb4J606ZNGDduHMzMzPSGz5kzR/q7ffv2UCqVmDZtGiIiIqBSqWq0rNDQUL356nQ6uLm51axwIiKiJ1Avgvqnn35CUlIStm/fXmlbX19fFBcX49q1a/D29oazszPS0tL02pT1P+q8tkqlqnHIExER1aZ6cY76888/R5cuXdChQ4dK28bHx8PIyAiOjo4AAD8/P8TGxqKoqEhqEx0dDW9v7woPexMREcmJQYM6Ly8P8fHxiI+PBwCkpKQgPj4eqampUhudTocdO3bg9ddfLzd9XFwcVq9ejV9//RV//PEHtm7ditmzZ+PVV1+VQnjs2LFQKpWYPHkyEhMTsX37dnzyySd6h7aJiIjkyqCHvn/55Rf07dtX6i8Lz+DgYERGRgIAvvnmGwghMGbMmHLTq1QqfPPNNwgLC0NBQQGaNm2K2bNn64WwRqPBwYMHERISgi5dusDe3h4LFizgrVlERFQvKIQQwtBFyJ1Op4NGo0Fubi7UavUTzSszMxMT1kfjy7cGwN7evpYqJCKiZ1W9OEdNRETUUDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREcmYQYM6NjYWQ4YMgaurKxQKBXbt2qU3fuLEiVAoFHrdwIED9dpkZ2dj3LhxUKvVsLGxweTJk5GXl6fX5sKFC+jVqxfMzMzg5uaG5cuX1/WqERER1QqDBnV+fj46dOiAdevWPbLNwIEDcfPmTan7+uuv9caPGzcOiYmJiI6ORlRUFGJjYzF16lRpvE6nQ0BAANzd3XH27FmsWLECYWFh2LhxY52tFxERUW0xMeTCBw0ahEGDBj22jUqlgrOzc4XjLl++jP379+PMmTPo2rUrAGDNmjUYPHgw/vnPf8LV1RVbt25FYWEhNm3aBKVSiTZt2iA+Ph4rV67UC3QiIiI5kv056qNHj8LR0RHe3t548803kZWVJY2Li4uDjY2NFNIA0L9/fxgZGeHUqVNSG39/fyiVSqlNYGAgkpKScOvWrQqXWVBQAJ1Op9cREREZgqyDeuDAgfjyyy9x6NAhLFu2DMeOHcOgQYNQUlICANBqtXB0dNSbxsTEBLa2ttBqtVIbJycnvTZl/WVtHhYREQGNRiN1bm5utb1qREREVWLQQ9+VGT16tPR3u3bt0L59e3h5eeHo0aPo169fnS03NDQUc+bMkfp1Oh3DmoiIDELWe9QP8/T0hL29Pa5evQoAcHZ2Rnp6ul6b4uJiZGdnS+e1nZ2dkZaWptemrP9R575VKhXUarVeR0REZAj1Kqhv3LiBrKwsuLi4AAD8/PyQk5ODs2fPSm0OHz6M0tJS+Pr6Sm1iY2NRVFQktYmOjoa3tzcaNWr0dFeAiIiomgwa1Hl5eYiPj0d8fDwAICUlBfHx8UhNTUVeXh7mzp2LkydP4tq1azh06BCGDh2KZs2aITAwEADQqlUrDBw4EFOmTMHp06dx/PhxTJ8+HaNHj4arqysAYOzYsVAqlZg8eTISExOxfft2fPLJJ3qHtomIiGRLGNCRI0cEgHJdcHCwuHPnjggICBAODg7C1NRUuLu7iylTpgitVqs3j6ysLDFmzBhhZWUl1Gq1mDRpkrh9+7Zem19//VX07NlTqFQq0bhxY7F06dJq1ZmbmysAiNzc3Cde54yMDDEofJvIyMh44nkREdGzTyGEEIb8olAf6HQ6aDQa5ObmPvH56szMTExYH40v3xoAe3v7WqqQiIieVfXqHDUREVFDw6AmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMGDerY2FgMGTIErq6uUCgU2LVrlzSuqKgI8+bNQ7t27WBpaQlXV1dMmDABf//9t948PDw8oFAo9LqlS5fqtblw4QJ69eoFMzMzuLm5Yfny5U9j9YiIiJ6YQYM6Pz8fHTp0wLp168qNu3PnDs6dO4cPP/wQ586dww8//ICkpCT84x//KNd20aJFuHnzptTNmDFDGqfT6RAQEAB3d3ecPXsWK1asQFhYGDZu3Fin60ZERFQbTAy58EGDBmHQoEEVjtNoNIiOjtYbtnbtWvj4+CA1NRXPPfecNNza2hrOzs4Vzmfr1q0oLCzEpk2boFQq0aZNG8THx2PlypWYOnVq7a0MERFRHahX56hzc3OhUChgY2OjN3zp0qWws7NDp06dsGLFChQXF0vj4uLi4O/vD6VSKQ0LDAxEUlISbt26VeFyCgoKoNPp9DoiIiJDMOgedXXcu3cP8+bNw5gxY6BWq6XhM2fOROfOnWFra4sTJ04gNDQUN2/exMqVKwEAWq0WTZs21ZuXk5OTNK5Ro0bllhUREYHw8PA6XBsiIqKqqRdBXVRUhFGjRkEIgU8//VRv3Jw5c6S/27dvD6VSiWnTpiEiIgIqlapGywsNDdWbr06ng5ubW82KJyIiegKyD+qykL5+/ToOHz6stzddEV9fXxQXF+PatWvw9vaGs7Mz0tLS9NqU9T/qvLZKpapxyBMREdUmWZ+jLgvpK1euICYmBnZ2dpVOEx8fDyMjIzg6OgIA/Pz8EBsbi6KiIqlNdHQ0vL29KzzsTUREJCcG3aPOy8vD1atXpf6UlBTEx8fD1tYWLi4ueOmll3Du3DlERUWhpKQEWq0WAGBrawulUom4uDicOnUKffv2hbW1NeLi4jB79my8+uqrUgiPHTsW4eHhmDx5MubNm4eEhAR88sknWLVqlUHWmYiIqFqEAR05ckQAKNcFBweLlJSUCscBEEeOHBFCCHH27Fnh6+srNBqNMDMzE61atRJLliwR9+7d01vOr7/+Knr27ClUKpVo3LixWLp0abXqzM3NFQBEbm7uE69zRkaGGBS+TWRkZDzxvIiI6NmnEEIIw3xFqD90Oh00Gg1yc3MrPUdemczMTExYH40v3xoAe3v7WqqQiIieVbI+R01ERNTQ1SioPT09kZWVVW54Tk4OPD09n7goIiIiuq9GQX3t2jWUlJSUG15QUIC//vrriYsiIiKi+6p11fePP/4o/X3gwAFoNBqpv6SkBIcOHYKHh0etFUdERNTQVSuohw0bBgBQKBQIDg7WG2dqagoPDw/861//qrXiiIiIGrpqBXVpaSkAoGnTpjhz5gyvWiYiIqpjNXrgSUpKSm3XQURERBWo8ZPJDh06hEOHDiE9PV3a0y6zadOmJy6MiIiIahjU4eHhWLRoEbp27QoXFxcoFIrarouIiIhQw6DesGEDIiMjMX78+Nquh4iIiB5Qo/uoCwsL0aNHj9quhYiIiB5So6B+/fXXsW3bttquhYiIiB5So0Pf9+7dw8aNGxETE4P27dvD1NRUb/zKlStrpTgiIqKGrkZBfeHCBXTs2BEAkJCQoDeOF5YRERHVnhoF9ZEjR2q7DiIiIqoAf+aSiIhIxmq0R923b9/HHuI+fPhwjQsiIiKi/6pRUJedny5TVFSE+Ph4JCQklPuxDiIiIqq5GgX1qlWrKhweFhaGvLy8JyqIiIiI/qtWz1G/+uqrfM43ERFRLarVoI6Li4OZmVltzpKIiKhBq9Gh7xEjRuj1CyFw8+ZN/PLLL/jwww9rpTAiIiKqYVBrNBq9fiMjI3h7e2PRokUICAiolcKIiIiohkG9efPm2q6DiIiIKlCjoC5z9uxZXL58GQDQpk0bdOrUqVaKIiIiovtqFNTp6ekYPXo0jh49ChsbGwBATk4O+vbti2+++QYODg61WSMREVGDVaOrvmfMmIHbt28jMTER2dnZyM7ORkJCAnQ6HWbOnFnbNRIRETVYNdqj3r9/P2JiYtCqVStpWOvWrbFu3TpeTEZERFSLarRHXVpaWu43qAHA1NQUpaWlT1wUERER3VejoH7hhRfw9ttv4++//5aG/fXXX5g9ezb69etXa8URERE1dDUK6rVr10Kn08HDwwNeXl7w8vJC06ZNodPpsGbNmtqukYiIqMGq0TlqNzc3nDt3DjExMfjtt98AAK1atUL//v1rtTgiIqKGrlp71IcPH0br1q2h0+mgUCgwYMAAzJgxAzNmzEC3bt3Qpk0b/PTTT3VVKxERUYNTraBevXo1pkyZArVaXW6cRqPBtGnTsHLlylorjoiIqKGrVlD/+uuvGDhw4CPHBwQE4OzZs09cFBEREd1XraBOS0ur8LasMiYmJsjIyHjiooiIiOi+agV148aNkZCQ8MjxFy5cgIuLyxMXRURERPdVK6gHDx6MDz/8EPfu3Ss37u7du1i4cCFefPHFKs8vNjYWQ4YMgaurKxQKBXbt2qU3XgiBBQsWwMXFBebm5ujfvz+uXLmi1yY7Oxvjxo2DWq2GjY0NJk+ejLy8PL02Fy5cQK9evWBmZgY3NzcsX7686itNRERkQNUK6vnz5yM7OxstWrTA8uXLsXv3buzevRvLli2Dt7c3srOz8cEHH1R5fvn5+ejQoQPWrVtX4fjly5fjf//3f7FhwwacOnUKlpaWCAwM1PuiMG7cOCQmJiI6OhpRUVGIjY3F1KlTpfE6nQ4BAQFwd3fH2bNnsWLFCoSFhWHjxo3VWXUiIiLDENV07do1MWjQIGFkZCQUCoVQKBTCyMhIDBo0SPzxxx/VnZ0EgNi5c6fUX1paKpydncWKFSukYTk5OUKlUomvv/5aCCHEpUuXBABx5swZqc2+ffuEQqEQf/31lxBCiPXr14tGjRqJgoICqc28efOEt7d3lWvLzc0VAERubm5NV0+SkZEhBoVvExkZGU88LyIievZV+8lk7u7u2Lt3LzIzM3Hq1CmcPHkSmZmZ2Lt3L5o2bVprXyBSUlKg1Wr1HqKi0Wjg6+uLuLg4AEBcXBxsbGzQtWtXqU3//v1hZGSEU6dOSW38/f2hVCqlNoGBgUhKSsKtW7cqXHZBQQF0Op1eR0REZAg1eoQoADRq1AjdunWDj48PGjVqVJs1AQC0Wi0AwMnJSW+4k5OTNE6r1cLR0VFvvImJCWxtbfXaVDSPB5fxsIiICGg0Gqlzc3N78hUiIiKqgRoH9bMsNDQUubm5Uvfnn38auiQiImqgZBvUzs7OAO7fu/2gtLQ0aZyzszPS09P1xhcXFyM7O1uvTUXzeHAZD1OpVFCr1XodERGRIcg2qJs2bQpnZ2ccOnRIGqbT6XDq1Cn4+fkBAPz8/JCTk6P3NLTDhw+jtLQUvr6+UpvY2FgUFRVJbaKjo+Ht7V0nh+yJiIhqk0GDOi8vD/Hx8YiPjwdw/wKy+Ph4pKamQqFQYNasWfjoo4/w448/4uLFi5gwYQJcXV0xbNgwAPd/sWvgwIGYMmUKTp8+jePHj2P69OkYPXo0XF1dAQBjx46FUqnE5MmTkZiYiO3bt+OTTz7BnDlzDLTWRERE1WDIS86PHDkiAJTrgoODhRD3b9H68MMPhZOTk1CpVKJfv34iKSlJbx5ZWVlizJgxwsrKSqjVajFp0iRx+/ZtvTa//vqr6Nmzp1CpVKJx48Zi6dKl1aqTt2cREZGhKIQQwpBfFOoDnU4HjUaD3NzcJz5fnZmZiQnro/HlWwNgb29fSxUSEdGzSrbnqImIiIhBTUREJGsMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjGZB/UHh4eUCgU5bqQkBAAQJ8+fcqNe+ONN/TmkZqaiqCgIFhYWMDR0RFz585FcXGxIVaHiIioWkwMXUBlzpw5g5KSEqk/ISEBAwYMwMsvvywNmzJlChYtWiT1W1hYSH+XlJQgKCgIzs7OOHHiBG7evIkJEybA1NQUS5YseTorQUREVEOyD2oHBwe9/qVLl8LLywu9e/eWhllYWMDZ2bnC6Q8ePIhLly4hJiYGTk5O6NixIxYvXox58+YhLCwMSqWyTusnIiJ6ErI/9P2gwsJCfPXVV3jttdegUCik4Vu3boW9vT3atm2L0NBQ3LlzRxoXFxeHdu3awcnJSRoWGBgInU6HxMTECpdTUFAAnU6n1xERERmC7PeoH7Rr1y7k5ORg4sSJ0rCxY8fC3d0drq6uuHDhAubNm4ekpCT88MMPAACtVqsX0gCkfq1WW+FyIiIiEB4eXjcrQUREVA31Kqg///xzDBo0CK6urtKwqVOnSn+3a9cOLi4u6NevH5KTk+Hl5VWj5YSGhmLOnDlSv06ng5ubW80LJyIiqqF6E9TXr19HTEyMtKf8KL6+vgCAq1evwsvLC87Ozjh9+rRem7S0NAB45HltlUoFlUpVC1UTERE9mXpzjnrz5s1wdHREUFDQY9vFx8cDAFxcXAAAfn5+uHjxItLT06U20dHRUKvVaN26dZ3VS0REVBvqxR51aWkpNm/ejODgYJiY/Lfk5ORkbNu2DYMHD4adnR0uXLiA2bNnw9/fH+3btwcABAQEoHXr1hg/fjyWL18OrVaL+fPnIyQkhHvNREQke/UiqGNiYpCamorXXntNb7hSqURMTAxWr16N/Px8uLm5YeTIkZg/f77UxtjYGFFRUXjzzTfh5+cHS0tLBAcH6913TUREJFf1IqgDAgIghCg33M3NDceOHat0end3d+zdu7cuSiMiIqpT9eYcNRERUUPEoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERyRiDmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkY7IO6rCwMCgUCr2uZcuW0vh79+4hJCQEdnZ2sLKywsiRI5GWlqY3j9TUVAQFBcHCwgKOjo6YO3cuiouLn/aqEBER1YiJoQuoTJs2bRATEyP1m5j8t+TZs2djz5492LFjBzQaDaZPn44RI0bg+PHjAICSkhIEBQXB2dkZJ06cwM2bNzFhwgSYmppiyZIlT31diIiIqkv2QW1iYgJnZ+dyw3Nzc/H5559j27ZteOGFFwAAmzdvRqtWrXDy5El0794dBw8exKVLlxATEwMnJyd07NgRixcvxrx58xAWFgalUvm0V4eIiKhaZH3oGwCuXLkCV1dXeHp6Yty4cUhNTQUAnD17FkVFRejfv7/UtmXLlnjuuecQFxcHAIiLi0O7du3g5OQktQkMDIROp0NiYuIjl1lQUACdTqfXERERGYKsg9rX1xeRkZHYv38/Pv30U6SkpKBXr164ffs2tFotlEolbGxs9KZxcnKCVqsFAGi1Wr2QLhtfNu5RIiIioNFopM7Nza12V4yIiKiKZH3oe9CgQdLf7du3h6+vL9zd3fHtt9/C3Ny8zpYbGhqKOXPmSP06nY5hTUREBiHrPeqH2djYoEWLFrh69SqcnZ1RWFiInJwcvTZpaWnSOW1nZ+dyV4GX9Vd03ruMSqWCWq3W64iIiAyhXgV1Xl4ekpOT4eLigi5dusDU1BSHDh2SxiclJSE1NRV+fn4AAD8/P1y8eBHp6elSm+joaKjVarRu3fqp109ERFRdsj70/e6772LIkCFwd3fH33//jYULF8LY2BhjxoyBRqPB5MmTMWfOHNja2kKtVmPGjBnw8/ND9+7dAQABAQFo3bo1xo8fj+XLl0Or1WL+/PkICQmBSqUy8NoRERFVTtZBfePGDYwZMwZZWVlwcHBAz549cfLkSTg4OAAAVq1aBSMjI4wcORIFBQUIDAzE+vXrpemNjY0RFRWFN998E35+frC0tERwcDAWLVpkqFUiIiKqFoUQQhi6CLnT6XTQaDTIzc194vPVmZmZmLA+Gl++NQD29va1VCERET2r6tU5aiIiooaGQU1ERCRjDGoiIiIZY1ATERHJGIOaiIhIxhjUREREMsagJiIikjEGNRERkYwxqImIiGSMQU1ERCRjDGoiIiIZY1ATERHJGIOaiIhIxhjUREREMsagJiIikjEGNRERkYyZGLqAhkgIgaysLACAnZ0dFAqFgSsiIiK54h61ARTduY0ZW89gwvoYKbCJiIgqwj1qA1FaqmFqamroMoiISOa4R01ERCRjDGoiIiIZY1ATERHJGIOaiIhIxhjUREREMsagJiIikjEGNRERkYwxqImIiGSMQU1ERCRjDGoiIiIZY1ATERHJGIOaiIhIxhjUREREMsagJiIikjEGNRERkYwxqImIiGSMQU1ERCRjDGoiIiIZk3VQR0REoFu3brC2toajoyOGDRuGpKQkvTZ9+vSBQqHQ69544w29NqmpqQgKCoKFhQUcHR0xd+5cFBcXP81VqZAQAllZWRBCGLoUIiKSKVkH9bFjxxASEoKTJ08iOjoaRUVFCAgIQH5+vl67KVOm4ObNm1K3fPlyaVxJSQmCgoJQWFiIEydO4IsvvkBkZCQWLFjwtFennMJ8HaZtPISsrCxDl0JERDJlYugCHmf//v16/ZGRkXB0dMTZs2fh7+8vDbewsICzs3OF8zh48CAuXbqEmJgYODk5oWPHjli8eDHmzZuHsLAwKJXKOl2HyigtrA26fCIikjdZ71E/LDc3FwBga2urN3zr1q2wt7dH27ZtERoaijt37kjj4uLi0K5dOzg5OUnDAgMDodPpkJiYWOFyCgoKoNPp9DoiIiJDkPUe9YNKS0sxa9YsPP/882jbtq00fOzYsXB3d4erqysuXLiAefPmISkpCT/88AMAQKvV6oU0AKlfq9VWuKyIiAiEh4fX0ZoQERFVXb0J6pCQECQkJODnn3/WGz516lTp73bt2sHFxQX9+vVDcnIyvLy8arSs0NBQzJkzR+rX6XRwc3OrWeGVKLugDADs7OygUCjqZDlERFQ/1YtD39OnT0dUVBSOHDmCJk2aPLatr68vAODq1asAAGdnZ6Slpem1Ket/1HltlUoFtVqt19WVort5mLH1DCasj+FFZUREVI6sg1oIgenTp2Pnzp04fPgwmjZtWuk08fHxAAAXFxcAgJ+fHy5evIj09HSpTXR0NNRqNVq3bl0ndVeX0lINlZXG0GUQEZEMyfrQd0hICLZt24bdu3fD2tpaOqes0Whgbm6O5ORkbNu2DYMHD4adnR0uXLiA2bNnw9/fH+3btwcABAQEoHXr1hg/fjyWL18OrVaL+fPnIyQkBCqVypCrR0REVClZ71F/+umnyM3NRZ8+feDi4iJ127dvBwAolUrExMQgICAALVu2xDvvvIORI0fiP//5jzQPY2NjREVFwdjYGH5+fnj11VcxYcIELFq0yFCrRUREVGWy3qOu7Ildbm5uOHbsWKXzcXd3x969e2urLCIioqdG1nvUREREDR2DmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQy0TZr2hV9pAXIiJqWBjUMlGYr8O0jYf4C1pERKSHQS0jSgtrQ5dAREQyI+tnfTc0ZYe/AcDOzg4KhcLAFRERkaFxj1pGiu7mYcbWM5iwPoaHwImICACDWnaUlmooLdW8sIyIiAAwqGWJF5YREVEZBrVM8cIyIiICGNRERESyxqAmIiKSMd6eJWNCCGRmZgLg7VpERA0Vg1rGsrOzMXv7eQDAl2/1h729vYErIiKip41BLVNCCNy6dQsqK42hSyEiIgPiOWqZKrqbh3e+jEVRURF/sIOIqAFjUMuYqbkVAN5XTUTUkPHQdz1ham7F54ATETVA3KOuJ/gccCKihol71PWI0lINU1NTQ5dBRERPEfeo65mHLywru9c6MzOTF5sRET2DGNT1zMMXlmVlZWHC+hgeEiciekbx0Hc99PAPdvBeayKiZxeDuh568PA396KJiJ5tDOp6qOwK8NKCO7h7OweN3FvC1NSUzwYnInoGMajrKaWlGqUmJiguLgZwfy87OTkZiw5eA8BngxMRPSt4MdkzojBfh3e+jIWRykI6Z80rwomI6j/uUT9Dyh45+uA57OBPDwHgHjYRUX3FPepnUGG+DlM/i0FycjJUVhq9q8LL9rK5h01EVD8wqJ9RCoVC+vUt4L8B/fvvv2P0ih94tTgRUT3BQ9/PsAcPhZddaFaYr4PC1Ezv6WZlh8TL9rQVCgUUCoXeleMPPxHN3t6eV5UTET0FDSqo161bhxUrVkCr1aJDhw5Ys2YNfHx8DF1Wnbt/oVkCGrm3hBLAndxs6fauoqIibJzWHwAwZe0elJQUw9LeFcbGxlj1SifY2dkBuP8EtDnfxqMwXydNY2dnx9vAiIjqWIMJ6u3bt2POnDnYsGEDfH19sXr1agQGBiIpKQmOjo6GLq/Ole1dl5Fu73ogtI2UZjAqG1dwB5P/90dY2rvq3a+tBKRpjI2NsXp0Z7Ro0QLA/TAvC+6yPfCyoC+7v/vhPfUHPTjNg+MfNZyIqCFoMEG9cuVKTJkyBZMmTQIAbNiwAXv27MGmTZvw/vvvG7g6w3owtB9kam5V7n5tvWkK7mDqZzHYOO3+sLc+P4p1r/WGnZ0dsrOz8dbnR7F+ch8A9/fWzRo56u2pKxQK2NraIjs7WwrjkE3HsH5yH9ja2kqH4bOzsxGy6Ri+mTsCdnZ2UuiXKVueEEKaBkCFfz+8zLJD+ZW1A/57iuDhLyCPm/fj5vXwl47a+KLy4NPq6tsXG34hI6pYgwjqwsJCnD17FqGhodIwIyMj9O/fH3FxceXaFxQUoKCgQOrPzc0FAOh0uieu5fbt27iTk4VSGN3fU83LhZGJaYV/A3jkuKr8XZPpqzvNvbxcTF4ThdKiApSUFGPc4kiYN3KQ+h8cZ2JhjcKCO1IbExMTfDikLRb/JwGFd/NRkKeDibmFNE1Bnk6al5GpCtevX8f169fxxiffQ6W2k+a7ZMzzevMom6aivytaJoBK25WUFGP9m0EAgBkb92PN1IEAgDc++R6lJaWPnPfj5mVra6v33sjOzpbm/eC4Rw2vSHZ2Nt7Z8jMA4F/je1baXk6qs55EhlT2Rb02WFtbV/7FVDQAf/31lwAgTpw4oTd87ty5wsfHp1z7hQsXCgDs2LFjx45dnXa5ubmVZliD2KOurtDQUMyZM0fqLy0tRXZ2dq0cktPpdHBzc8Off/4JtVr9pKXWW9wO93E73MftcB+3w30NaTtYW1tX2qZBBLW9vT2MjY2RlpamNzwtLQ3Ozs7l2qtUKqhUKr1hNjY2tVqTWq1+5t+AVcHtcB+3w33cDvdxO9zH7XBfg3jgiVKpRJcuXXDo0CFpWGlpKQ4dOgQ/Pz8DVkZERPR4DWKPGgDmzJmD4OBgdO3aFT4+Pli9ejXy8/Olq8CJiIjkqMEE9SuvvIKMjAwsWLAAWq0WHTt2xP79++Hk5PRU61CpVFi4cGG5Q+sNDbfDfdwO93E73MftcB+3gz6FEPx1BiIiIrlqEOeoiYiI6isGNRERkYwxqImIiGSMQU1ERCRjDOo6sG7dOnh4eMDMzAy+vr44ffr0Y9vv2LEDLVu2hJmZGdq1a4e9e/c+pUrrVnW2Q2RkpPQDFmWdmZnZU6y2bsTGxmLIkCFwdXWFQqHArl27Kp3m6NGj6Ny5M1QqFZo1a4bIyMg6r7OuVXc7HD16tNz7QaFQQKvVPp2C60BERAS6desGa2trODo6YtiwYUhKSqp0umfx86Em2+JZ/YyoCgZ1LSv7Oc2FCxfi3Llz6NChAwIDA5Genl5h+xMnTmDMmDGYPHkyzp8/j2HDhmHYsGFISEh4ypXXrupuB+D+U4hu3rwpddevX3+KFdeN/Px8dOjQAevWratS+5SUFAQFBaFv376Ij4/HrFmz8Prrr+PAgQN1XGndqu52KJOUlKT3nqjPP0l77NgxhISE4OTJk4iOjkZRURECAgKQn5//yGme1c+HmmwL4Nn8jKiSWvrdC/r/fHx8REhIiNRfUlIiXF1dRURERIXtR40aJYKCgvSG+fr6imnTptVpnXWtutth8+bNQqPRPKXqDAOA2Llz52PbvPfee6JNmzZ6w1555RURGBhYh5U9XVXZDkeOHBEAxK1bt55KTYaQnp4uAIhjx449ss2z+vnwsKpsi4bwGfEo3KOuRWU/p9m/f39p2ON+ThMA4uLi9NoDQGBg4CPb1wc12Q4AkJeXB3d3d7i5uWHo0KFITEx8GuXKyrP4fngSHTt2hIuLCwYMGIDjx48bupxaVfbzuY/7Sc+G8n6oyrYAGu5nBIO6FmVmZqKkpKTc086cnJweeW5Nq9VWq319UJPt4O3tjU2bNmH37t346quvUFpaih49euDGjRtPo2TZeNT7QafT4e7duwaq6ulzcXHBhg0b8P333+P777+Hm5sb+vTpg3Pnzhm6tFpRWlqKWbNm4fnnn0fbtm0f2e5Z/Hx4WFW3RUP+jGgwjxAlefPz89P7gZQePXqgVatW+Oyzz7B48WIDVkaG4O3tDW9vb6m/R48eSE5OxqpVq7BlyxYDVlY7QkJCkJCQgJ9//tnQpRhcVbdFQ/6M4B51Laruz2kCgLOzc7Xa1wc12Q4PMzU1RadOnXD16tW6KFG2HvV+UKvVMDc3N1BV8uDj4/NMvB+mT5+OqKgoHDlyBE2aNHls22fx8+FB1dkWD2tInxEM6lpUk5/T9PPz02sPANHR0fX65zdr42dFS0pKcPHiRbi4uNRVmbL0LL4fakt8fHy9fj8IITB9+nTs3LkThw8fRtOmTSud5ll9P9RkWzysQX1GGPpqtmfNN998I1QqlYiMjBSXLl0SU6dOFTY2NkKr1QohhBg/frx4//33pfbHjx8XJiYm4p///Ke4fPmyWLhwoTA1NRUXL1401CrUiupuh/DwcHHgwAGRnJwszp49K0aPHi3MzMxEYmKioVahVty+fVucP39enD9/XgAQK1euFOfPnxfXr18XQgjx/vvvi/Hjx0vt//jjD2FhYSHmzp0rLl++LNatWyeMjY3F/v37DbUKtaK622HVqlVi165d4sqVK+LixYvi7bffFkZGRiImJsZQq/DE3nzzTaHRaMTRo0fFzZs3pe7OnTtSm4by+VCTbfGsfkZUBYO6DqxZs0Y899xzQqlUCh8fH3Hy5ElpXO/evUVwcLBe+2+//Va0aNFCKJVK0aZNG7Fnz56nXHHdqM52mDVrltTWyclJDB48WJw7d84AVdeustuMHu7K1j04OFj07t273DQdO3YUSqVSeHp6is2bNz/1umtbdbfDsmXLhJeXlzAzMxO2traiT58+4vDhw4YpvpZUtP4A9F7fhvL5UJNt8ax+RlQFf+aSiIhIxniOmoiISMYY1ERERDLGoCYiIpIxBjUREZGMMaiJiIhkjEFNREQkYwxqIiIiGWNQExERPSQ2NhZDhgyBq6srFAoFdu3aVe15fPvtt+jYsSMsLCzg7u6OFStW1KgWBjUREdFD8vPz0aFDB6xbt65G0+/btw/jxo3DG2+8gYSEBKxfvx6rVq3C2rVrqz0vPpmMqAEqLCyEUqk0dBlE9YJCocDOnTsxbNgwaVhBQQE++OADfP3118jJyUHbtm2xbNky9OnTBwAwduxYFBUVYceOHdI0a9aswfLly5GamgqFQlHl5XOPmqgB6NOnD6ZPn45Zs2bB3t4egYGBSEhIwKBBg2BlZQUnJyeMHz8emZmZAICNGzfC1dUVpaWlevMZOnQoXnvtNal/9+7d6Ny5M8zMzODp6Ynw8HAUFxdL4xUKBf79739j+PDhsLCwQPPmzfHjjz9K4yMjI2FjY6O3jF27dpX7EKtsOURP2/Tp0xEXF4dvvvkGFy5cwMsvv4yBAwfiypUrAO4HuZmZmd405ubmuHHjBq5fv169hRn2UeNE9DT07t1bWFlZiblz54rffvtNnDx5Ujg4OIjQ0FBx+fJlce7cOTFgwADRt29fIYQQ2dnZQqlU6v1aVVZWlt6w2NhYoVarRWRkpEhOThYHDx4UHh4eIiwsTJoGgGjSpInYtm2buHLlipg5c6awsrISWVlZQgghNm/eLDQajV6tO3fuFA9+NFVlOUR1CYDYuXOn1H/9+nVhbGws/vrrL712/fr1E6GhoUIIIT777DNhYWEhYmJiRElJiUhKShItW7YUAMSJEyeqt/wnXgMikr3evXuLTp06Sf2LFy8WAQEBem3+/PNPAUAkJSUJIYQYOnSoeO2116Txn332mXB1dRUlJSVCiPsfSkuWLNGbx5YtW4SLi4vUD0DMnz9f6s/LyxMAxL59+4QQVQvqqiyHqC49HNRRUVECgLC0tNTrTExMxKhRo4QQQpSWlor33ntPmJmZCWNjY9GoUSMRFhYmAOj9kmBVmDzRvj8R1RtdunSR/v71119x5MgRWFlZlWuXnJyMFi1aYNy4cZgyZQrWr18PlUqFrVu3YvTo0TAyMpLmcfz4cXz88cfStCUlJbh37x7u3LkDCwsLAED79u2l8ZaWllCr1UhPT69y3VVdDtHTkpeXB2NjY5w9exbGxsZ648r+pxQKBZYtW4YlS5ZAq9XCwcEBhw4dAgB4enpWa3kMaqIGwtLSUvo7Ly8PQ4YMwbJly8q1c3FxAQAMGTIEQgjs2bMH3bp1w08//YRVq1bpzSM8PBwjRowoN48Hz82ZmprqjVMoFNK5byMjI4iHrmctKirS66/qcoielk6dOqGkpATp6eno1avXY9saGxujcePGAICvv/4afn5+cHBwqNbyGNREDVDnzp3x/fffw8PDAyYmFX8MmJmZYcSIEdi6dSuuXr0Kb29vdO7cWW8eSUlJaNasWY3rcHBwwO3bt5Gfny99kYiPjy9X65Muh6i68vLycPXqVak/JSUF8fHxsLW1lY44TZgwAf/617/QqVMnZGRk4NChQ2jfvj2CgoKQmZmJ7777Dn369MG9e/ewefNm7NixA8eOHat+MbV3FJ+I5Kp3797i7bfflvr/+usv4eDgIF566SVx+vRpcfXqVbF//34xceJEUVxcLLWLjo4WKpVKeHt7i8WLF+vNc//+/cLExESEhYWJhIQEcenSJfH111+LDz74QGqDh87tCSGERqMRmzdvFkLcv0DN0tJSzJw5U1y9elVs3bpVuLq66p2jrspyiGrbkSNHBIByXXBwsBBCiMLCQrFgwQLh4eEhTE1NhYuLixg+fLi4cOGCEEKIjIwM0b17d2FpaSksLCxEv379qn1uugyDmqgBeDiohRDi999/F8OHDxc2NjbC3NxctGzZUsyaNUuUlpZKbUpKSoSLi4sAIJKTk8vNd//+/aJHjx7C3NxcqNVq4ePjIzZu3CiNryyohbh/8VizZs2Eubm5ePHFF8XGjRvFw/sQlS2H6FnGB54QERHJGB94QkREJGMMaiIiIhljUBMREckYg5qIiEjGGNREREQyxqAmIiKSMQY1ERGRjDGoiYiIZIxBTUREJGMMaiIiIhljUBMREckYg5qIiEjG/h8m0QB097jZwQAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# prompt: gráfico de distribuição do orçamento dos filmes(budget)\n", + "\n", + "import matplotlib.pyplot as plt\n", + "sns.displot(tmdb[\"budget\"])\n", + "plt.title(\"distribuição do orçamento dos filmes\")\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 529 + }, + "id": "ERRo_H3EpMMG", + "outputId": "e5fa0a56-57c9-4336-a161-6af4b40a0660" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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object \n", + " 11 release_date 4802 non-null object \n", + " 12 revenue 4803 non-null int64 \n", + " 13 runtime 4801 non-null float64\n", + " 14 spoken_languages 4803 non-null object \n", + " 15 status 4803 non-null object \n", + " 16 tagline 3959 non-null object \n", + " 17 title 4803 non-null object \n", + " 18 vote_average 4803 non-null float64\n", + " 19 vote_count 4803 non-null int64 \n", + "dtypes: float64(3), int64(4), object(13)\n", + "memory usage: 750.6+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "tmdb.describe()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 320 + }, + "id": "CVZlt-S3rBYx", + "outputId": "841c0475-4f61-4d3e-e712-ad933d7ffc03" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " budget id popularity revenue runtime \\\n", + "count 4.803000e+03 4803.000000 4803.000000 4.803000e+03 4801.000000 \n", + "mean 2.904504e+07 57165.484281 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17.815595 \n", + "376 An earthquake shatters a peaceful Los Angeles ... 19.836124 \n", + "... ... ... \n", + "4797 Adam, a security guard, travels from Californi... 0.022173 \n", + "4799 A newlywed couple's honeymoon is upended by th... 0.642552 \n", + "4800 \"Signed, Sealed, Delivered\" introduces a dedic... 1.444476 \n", + "4801 When ambitious New York attorney Sam is sent t... 0.857008 \n", + "4802 Ever since the second grade when he first saw ... 1.929883 \n", + "\n", + " production_companies \\\n", + "83 [{\"name\": \"Corsan\", \"id\": 7299}, {\"name\": \"Bli... \n", + "135 [{\"name\": \"Universal Pictures\", \"id\": 33}, {\"n... \n", + "265 [{\"name\": \"Imagine Entertainment\", \"id\": 23}, ... \n", + "309 [{\"name\": \"New Line Cinema\", \"id\": 12}, {\"name... \n", + "376 [{\"name\": \"Twentieth Century Fox Film Corporat... \n", + "... ... \n", + "4797 [] \n", + "4799 [] \n", + "4800 [{\"name\": \"Front Street Pictures\", \"id\": 3958}... \n", + "4801 [] \n", + "4802 [{\"name\": \"rusty bear entertainment\", \"id\": 87... \n", + "\n", + " production_countries release_date revenue \\\n", + "83 [{\"iso_3166_1\": \"AU\", \"name\": \"Australia\"}, {\"... 2015-02-13 0 \n", + "135 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2010-02-11 0 \n", + "265 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2003-11-21 0 \n", + "309 [{\"iso_3166_1\": \"DE\", \"name\": \"Germany\"}, {\"is... 2005-02-18 0 \n", + "376 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 1997-04-25 0 \n", + "... ... ... ... \n", + "4797 [] 2005-03-12 0 \n", + "4799 [] 2011-12-26 0 \n", + "4800 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2013-10-13 0 \n", + "4801 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2012-05-03 0 \n", + "4802 [{\"iso_3166_1\": \"US\", \"name\": \"United States o... 2005-08-05 0 \n", + "\n", + " runtime spoken_languages status \\\n", + "83 109.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "135 102.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "265 82.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "309 94.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "376 104.0 [{\"iso_639_1\": \"de\", \"name\": \"Deutsch\"}, {\"iso... Released \n", + "... ... ... ... \n", + "4797 80.0 [] Released \n", + "4799 85.0 [] Released \n", + "4800 120.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "4801 98.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "4802 90.0 [{\"iso_639_1\": \"en\", \"name\": \"English\"}] Released \n", + "\n", + " tagline \\\n", + "83 Love is longer than life. \n", + "135 When the moon is full the legend comes to life \n", + "265 Don't mess with the hat. \n", + "309 Who's next? \n", + "376 The coast is toast \n", + "... ... \n", + "4797 NaN \n", + "4799 A newlywed couple's honeymoon is upended by th... \n", + "4800 NaN \n", + "4801 A New Yorker in Shanghai \n", + "4802 NaN \n", + "\n", + " title vote_average vote_count \n", + "83 The Lovers 4.8 34 \n", + "135 The Wolfman 5.5 549 \n", + "265 The Cat in the Hat 4.9 366 \n", + "309 Son of the Mask 3.6 338 \n", + "376 Volcano 5.2 376 \n", + "... ... ... ... \n", + "4797 Cavite 7.5 2 \n", + "4799 Newlyweds 5.9 5 \n", + "4800 Signed, Sealed, Delivered 7.0 6 \n", + "4801 Shanghai Calling 5.7 7 \n", + "4802 My Date with Drew 6.3 16 \n", + "\n", + "[1448 rows x 20 columns]" + ], + "text/html": [ + "\n", + "
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budgetgenreshomepageidkeywordsoriginal_languageoriginal_titleoverviewpopularityproduction_companiesproduction_countriesrelease_daterevenueruntimespoken_languagesstatustaglinetitlevote_averagevote_count
8327000000[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...NaN79698[]enThe LoversThe Lovers is an epic romance time travel adve...2.418535[{\"name\": \"Corsan\", \"id\": 7299}, {\"name\": \"Bli...[{\"iso_3166_1\": \"AU\", \"name\": \"Australia\"}, {\"...2015-02-130109.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedLove is longer than life.The Lovers4.834
135150000000[{\"id\": 18, \"name\": \"Drama\"}, {\"id\": 27, \"name...http://www.thewolfmanmovie.com/7978[{\"id\": 494, \"name\": \"father son relationship\"...enThe WolfmanLawrence Talbot, an American man on a visit to...21.214571[{\"name\": \"Universal Pictures\", \"id\": 33}, {\"n...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...2010-02-110102.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedWhen the moon is full the legend comes to lifeThe Wolfman5.5549
2650[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 14, \"nam...NaN10588[{\"id\": 977, \"name\": \"cat\"}, {\"id\": 1155, \"nam...enThe Cat in the HatConrad and Sally Walden are home alone with th...18.251129[{\"name\": \"Imagine Entertainment\", \"id\": 23}, ...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...2003-11-21082.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedDon't mess with the hat.The Cat in the Hat4.9366
30984000000[{\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 35, \"na...NaN10214[{\"id\": 1009, \"name\": \"baby\"}, {\"id\": 2546, \"n...enSon of the MaskTim Avery, an aspiring cartoonist, finds himse...17.815595[{\"name\": \"New Line Cinema\", \"id\": 12}, {\"name...[{\"iso_3166_1\": \"DE\", \"name\": \"Germany\"}, {\"is...2005-02-18094.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedWho's next?Son of the Mask3.6338
37690000000[{\"id\": 878, \"name\": \"Science Fiction\"}, {\"id\"...NaN10357[{\"id\": 1552, \"name\": \"subway\"}, {\"id\": 2859, ...enVolcanoAn earthquake shatters a peaceful Los Angeles ...19.836124[{\"name\": \"Twentieth Century Fox Film Corporat...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...1997-04-250104.0[{\"iso_639_1\": \"de\", \"name\": \"Deutsch\"}, {\"iso...ReleasedThe coast is toastVolcano5.2376
...............................................................
47970[{\"id\": 10769, \"name\": \"Foreign\"}, {\"id\": 53, ...NaN67238[]enCaviteAdam, a security guard, travels from Californi...0.022173[][]2005-03-12080.0[]ReleasedNaNCavite7.52
47999000[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 10749, \"...NaN72766[]enNewlywedsA newlywed couple's honeymoon is upended by th...0.642552[][]2011-12-26085.0[]ReleasedA newlywed couple's honeymoon is upended by th...Newlyweds5.95
48000[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"nam...http://www.hallmarkchannel.com/signedsealeddel...231617[{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...enSigned, Sealed, Delivered\"Signed, Sealed, Delivered\" introduces a dedic...1.444476[{\"name\": \"Front Street Pictures\", \"id\": 3958}...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...2013-10-130120.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedNaNSigned, Sealed, Delivered7.06
48010[]http://shanghaicalling.com/126186[]enShanghai CallingWhen ambitious New York attorney Sam is sent t...0.857008[][{\"iso_3166_1\": \"US\", \"name\": \"United States o...2012-05-03098.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedA New Yorker in ShanghaiShanghai Calling5.77
48020[{\"id\": 99, \"name\": \"Documentary\"}]NaN25975[{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...enMy Date with DrewEver since the second grade when he first saw ...1.929883[{\"name\": \"rusty bear entertainment\", \"id\": 87...[{\"iso_3166_1\": \"US\", \"name\": \"United States o...2005-08-05090.0[{\"iso_639_1\": \"en\", \"name\": \"English\"}]ReleasedNaNMy Date with Drew6.316
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xcXG5GkeFChX0+OOP6/HHH9f58+d1xx13aNy4cVZQ52eFLl++vCRlOws6L79Wc5qn/fv3u+x6LF++fI67u7JOp27dulqxYoVOnz591a3qzz//XJcuXdJnn33m8os96263jBtSxMXFqU6dOlb3lJQUHTp0SBEREVedp7x8XjVr1lR6eroOHDhgbeFJV07COnv2bLYbY7Rt21Zt27bVa6+9pgULFqhPnz766KOPbHnDluDgYJUrV05paWl/ubwy+Pv76+GHH9bDDz+slJQU9ezZU6+99ppGjx4tp9OZ4zB169bV5s2blZqaetWT+2rWrKlVq1bp3LlzLlvV+/bts/oXtTNnzmj16tWKjo7WmDFjrO45rTNX+9ssiL+/vNRxverWrasff/xRnTp1KrAAvdp48vp3VZyw69umPD09FRkZqSVLlujIkSNW971792rFihXXHD7rZRZly5ZVvXr1XHabZlxPmZc7/GQcP1q/fr3VLS0tTbNnz871OJYsWaLjx49b77ds2aLNmzfr7rvvdpnOvn37XM5y/fHHH7PtGu3Vq5eMMTlugWX8Cs/4lZ75V3liYqJiY2Nd2kdERMjHx0fTpk1zafvee+8pMTFRXbt2veo85eXzuueeeyRJU6dOdemesdWRMZ0zZ85k25LIuBWoXS838fT0VK9evbRo0aJsl9xJcvk8s66jPj4+aty4sYwxf3lMvlevXjp16pTefvvtbP0yltc999yjtLS0bG2mTJkih8Phsq4VlZzWQyn7eiBd/W8zICBAlSpVcvn7k65c1VAYdVyvhx56SMePH9e7776brd+ff/6pCxcu5HmcV1s2uf27Ko7Yorax6OhoLV++XLfffruefvppXb582bru9FrHmxs3bqwOHTqoRYsWqlChgr7//nt98sknGjJkiNWmRYsWkqShQ4cqMjJSnp6eLicQ5aRJkyZq27atRo8ebW3FfvTRR7p8+XKu56tevXq67bbbNHjwYF26dElTp05VxYoVNXLkSKtN//79NXnyZEVGRmrAgAFKSEjQzJkz1aRJEyUlJVntOnbsqL59+2ratGk6cOCAtevum2++UceOHTVkyBB17txZPj4+6tatm5588kmdP39e7777ripXrqzff//dGldwcLBGjx6t6OhodenSRffdd5/i4uI0Y8YMtWrVSo8++uhfzlduP69mzZqpX79+mj17ts6ePav27dtry5Ytmjdvnnr06KGOHTtKkubNm6cZM2bo/vvvV926dXXu3Dm9++67CggIsL6U7OiNN97Q2rVr1aZNGz3xxBNq3LixTp8+re3bt2vVqlU6ffq0JKlz584KDQ3VrbfeqpCQEO3du1dvv/22unbtmu3YcmZ///vf9f7772v48OHasmWLbr/9dl24cEGrVq3S008/re7du6tbt27q2LGjXnjhBf36669q1qyZvvrqK3366acaNmyYywlLRSUgIEB33HGHJk6cqNTUVFWtWlVfffWVDh06lK1txt/mCy+8oN69e8vb21vdunWTv7+/Bg4cqDfeeEMDBw5Uy5YttX79eu3fv79Q6rheffv21ccff6ynnnpKa9eu1a233qq0tDTt27dPH3/8sVasWGFdQplbV1s2uf27KpaK+jRz5M26detMixYtjI+Pj6lTp46ZOXOmdclEZlkvu3n11VdN69atTVBQkPHz8zMNGzY0r732mklJSbHaXL582TzzzDMmODjYOBwOa5wZl4BMmjQpx5oOHjxoIiIijK+vrwkJCTH//Oc/zcqVK3N9edakSZPMW2+9ZapXr258fX3N7bffbn788cds0/nPf/5j6tSpY3x8fEzz5s3NihUrso0zYz4mTZpkGjZsaCQZSebuu+8227Zts9p89tln5qabbjJOp9PUqlXLTJgwwbrMJ+tlHm+//bZp2LCh8fb2NiEhIWbw4MHmzJkzOS6LrHL7eaWmppro6GhTu3Zt4+3tbapXr25Gjx5tkpOTrTbbt283f/vb30yNGjWMr6+vqVy5srn33nvN999/f806rvfyrJwum6pZs2aOl/xJMlFRUS7dTpw4YaKiokz16tWNt7e3CQ0NNZ06dTKzZ8+22syaNcvccccdpmLFisbX19fUrVvXjBgxwiQmJl5z/i5evGheeOEFa/mFhoaaBx54wBw8eNBqc+7cOfPcc8+ZKlWqGG9vb1O/fn0zadIkl8v2rlb/1f4GrnbZVVZXa3fs2DFz//33m6CgIBMYGGgefPBB89tvv2W7tMoYY1555RVTtWpV4+Hh4bKeXrx40QwYMMAEBgaacuXKmYceesgkJCRc9fKskydPZqsvt3VcbRxXW79yWndSUlLMhAkTTJMmTYyvr68pX768adGihYmOjnb5rHP6HIzJvs7+1bLJzd9VceQwJp9nRQA29O233+of//hHrs4eBoDigKBGiZOxqz/zCWEAUFxxjBolwsmTJ617SScmJur8+fNurggACgZBjRIhLS1N06ZN05kzZ/Too49a1+oCQHHHrm8AAGyM66gBALAxghoAABsjqHXlDj1JSUn5vn8vAACFhaCWdO7cOQUGBurcuXPuLgUAABcENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGNe7i6gJElPT9exY8es99WqVZOHB7+FAAD5R1AXoGPHjql/zHL5lQ/Wn2dOak5UF9WoUcPdZQEAijGCuoD5lQ+Wf4VQd5cBACgh2C8LAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjbk1qNPS0vTSSy+pdu3a8vPzU926dfXKK6/IGGO1McZozJgxCgsLk5+fnyIiInTgwAGX8Zw+fVp9+vRRQECAgoKCNGDAAJ0/f76oZwcAgALn1qCeMGGC3nnnHb399tvau3evJkyYoIkTJ2r69OlWm4kTJ2ratGmaOXOmNm/eLH9/f0VGRio5Odlq06dPH+3Zs0crV67U0qVLtX79eg0aNMgdswQAQIHycufEN2zYoO7du6tr166SpFq1aunDDz/Uli1bJF3Zmp46dapefPFFde/eXZL0/vvvKyQkREuWLFHv3r21d+9eLV++XFu3blXLli0lSdOnT9c999yjN998U1WqVHHPzAEAUADcukXdrl07rV69Wvv375ck/fjjj/r222919913S5IOHTqk+Ph4RUREWMMEBgaqTZs22rhxoyRp48aNCgoKskJakiIiIuTh4aHNmzfnON1Lly4pKSnJ5QUAgB25dYt61KhRSkpKUsOGDeXp6am0tDS99tpr6tOnjyQpPj5ekhQSEuIyXEhIiNUvPj5elStXdunv5eWlChUqWG2yGj9+vKKjowt6dgAAKHBu3aL++OOPNX/+fC1YsEDbt2/XvHnz9Oabb2revHmFOt3Ro0crMTHReh09erRQpwcAQH65dYt6xIgRGjVqlHr37i1Jatq0qQ4fPqzx48erX79+Cg0NlSSdOHFCYWFh1nAnTpxQ8+bNJUmhoaFKSEhwGe/ly5d1+vRpa/isfH195evrWwhzBABAwXLrFvXFixfl4eFagqenp9LT0yVJtWvXVmhoqFavXm31T0pK0ubNmxUeHi5JCg8P19mzZ7Vt2zarzZo1a5Senq42bdoUwVwAAFB43LpF3a1bN7322muqUaOGmjRpoh9++EGTJ09W//79JUkOh0PDhg3Tq6++qvr166t27dp66aWXVKVKFfXo0UOS1KhRI3Xp0kVPPPGEZs6cqdTUVA0ZMkS9e/fmjG8AQLHn1qCePn26XnrpJT399NNKSEhQlSpV9OSTT2rMmDFWm5EjR+rChQsaNGiQzp49q9tuu03Lly+X0+m02syfP19DhgxRp06d5OHhoV69emnatGnumCUAAAqUw2S+DVgplZSUpMDAQCUmJiogICDf4zly5IiiFmyTf4VQXTgdr5hHWqhGjRoFWCkAoLThXt8AANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjbk9qI8fP65HH31UFStWlJ+fn5o2barvv//e6m+M0ZgxYxQWFiY/Pz9FRETowIEDLuM4ffq0+vTpo4CAAAUFBWnAgAE6f/58Uc8KAAAFzq1BfebMGd16663y9vbWl19+qZ9++klvvfWWypcvb7WZOHGipk2bppkzZ2rz5s3y9/dXZGSkkpOTrTZ9+vTRnj17tHLlSi1dulTr16/XoEGD3DFLAAAUKC93TnzChAmqXr26YmNjrW61a9e2/m+M0dSpU/Xiiy+qe/fukqT3339fISEhWrJkiXr37q29e/dq+fLl2rp1q1q2bClJmj59uu655x69+eabqlKlStHOFAAABcitW9SfffaZWrZsqQcffFCVK1fWzTffrHfffdfqf+jQIcXHxysiIsLqFhgYqDZt2mjjxo2SpI0bNyooKMgKaUmKiIiQh4eHNm/enON0L126pKSkJJcXAAB25Nag/uWXX/TOO++ofv36WrFihQYPHqyhQ4dq3rx5kqT4+HhJUkhIiMtwISEhVr/4+HhVrlzZpb+Xl5cqVKhgtclq/PjxCgwMtF7Vq1cv6FkDAKBAuDWo09PTdcstt+j111/XzTffrEGDBumJJ57QzJkzC3W6o0ePVmJiovU6evRooU4PAID8cmtQh4WFqXHjxi7dGjVqpCNHjkiSQkNDJUknTpxwaXPixAmrX2hoqBISElz6X758WadPn7baZOXr66uAgACXFwAAduTWoL711lsVFxfn0m3//v2qWbOmpCsnloWGhmr16tVW/6SkJG3evFnh4eGSpPDwcJ09e1bbtm2z2qxZs0bp6elq06ZNEcwFAACFx61nfT/33HNq166dXn/9dT300EPasmWLZs+erdmzZ0uSHA6Hhg0bpldffVX169dX7dq19dJLL6lKlSrq0aOHpCtb4F26dLF2maempmrIkCHq3bs3Z3wDAIo9twZ1q1attHjxYo0ePVovv/yyateuralTp6pPnz5Wm5EjR+rChQsaNGiQzp49q9tuu03Lly+X0+m02syfP19DhgxRp06d5OHhoV69emnatGnumCUAAAqUwxhj3F2EuyUlJSkwMFCJiYnXdbz6yJEjilqwTf4VQnXhdLxiHmmhGjVqFGClAIDSxu23EAUAAFdHUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgY/kK6jp16uiPP/7I1v3s2bOqU6fOdRcFAACuyFdQ//rrr0pLS8vW/dKlSzp+/Ph1FwUAAK7wykvjzz77zPr/ihUrFBgYaL1PS0vT6tWrVatWrQIrDgCA0i5PQd2jRw9JksPhUL9+/Vz6eXt7q1atWnrrrbcKrDgAAEq7PAV1enq6JKl27draunWrKlWqVChFAQCAK/IU1BkOHTpU0HUAAIAc5CuoJWn16tVavXq1EhISrC3tDHPmzLnuwgAAQD6DOjo6Wi+//LJatmypsLAwORyOgq4LAAAon0E9c+ZMzZ07V3379i3oegAAQCb5uo46JSVF7dq1K+haAABAFvkK6oEDB2rBggUFXQsAAMgiX7u+k5OTNXv2bK1atUo33XSTvL29XfpPnjy5QIoDAKC0y1dQ79y5U82bN5ck7d6926UfJ5YBAFBw8hXUa9euLeg6AABADnjMJQAANpavLeqOHTv+5S7uNWvW5LsgAADwP/kK6ozj0xlSU1O1Y8cO7d69O9vDOkork55uPfKzWrVq8vBg5wUAIO/yFdRTpkzJsfu4ceN0/vz56yqopEhO+kOjPo6Xt88uzYnqoho1ari7JABAMVSgm3mPPvoo9/nOxBlYSX7lg91dBgCgGCvQoN64caOcTmdBjhIAgFItX7u+e/bs6fLeGKPff/9d33//vV566aUCKQwAAOQzqAMDA13ee3h4qEGDBnr55ZfVuXPnAikMAADkM6hjY2MLug4AAJCDfAV1hm3btmnv3r2SpCZNmujmm28ukKIAAMAV+QrqhIQE9e7dW19//bWCgoIkSWfPnlXHjh310UcfKTiYM50BACgI+Trr+5lnntG5c+e0Z88enT59WqdPn9bu3buVlJSkoUOHFnSNAACUWvnaol6+fLlWrVqlRo0aWd0aN26smJgYTiYDAKAA5WuLOj09PdszqCXJ29tb6enp110UAAC4Il9Bfeedd+rZZ5/Vb7/9ZnU7fvy4nnvuOXXq1KnAigMAoLTLV1C//fbbSkpKUq1atVS3bl3VrVtXtWvXVlJSkqZPn17QNQIAUGrl6xh19erVtX37dq1atUr79u2TJDVq1EgREREFWhwAAKVdnrao16xZo8aNGyspKUkOh0N33XWXnnnmGT3zzDNq1aqVmjRpom+++aawagUAoNTJU1BPnTpVTzzxhAICArL1CwwM1JNPPqnJkycXWHEAAJR2eQrqH3/8UV26dLlq/86dO2vbtm3XXRQAALgiT0F94sSJHC/LyuDl5aWTJ09ed1EAAOCKPAV11apVtXv37qv237lzp8LCwq67KAAAcEWegvqee+7RSy+9pOTk5Gz9/vzzT40dO1b33ntvgRUHAEBpl6fLs1588UX997//1Q033KAhQ4aoQYMGkqR9+/YpJiZGaWlpeuGFFwqlUAAASqM8BXVISIg2bNigwYMHa/To0TLGSJIcDociIyMVExOjkJCQQikUAIDSKM83PKlZs6aWLVumM2fO6Oeff5YxRvXr11f58uULoz4AAEq1fN2ZTJLKly+vVq1aFWQtAAAgi3zd6xsAABQN2wT1G2+8IYfDoWHDhlndkpOTFRUVpYoVK6ps2bLq1auXTpw44TLckSNH1LVrV5UpU0aVK1fWiBEjdPny5SKuHgCAwmGLoN66datmzZqlm266yaX7c889p88//1wLFy7UunXr9Ntvv6lnz55W/7S0NHXt2lUpKSnasGGD5s2bp7lz52rMmDFFPQsAABQKtwf1+fPn1adPH7377rsuJ6QlJibqvffe0+TJk3XnnXeqRYsWio2N1YYNG7Rp0yZJ0ldffaWffvpJ//nPf9S8eXPdfffdeuWVVxQTE6OUlBR3zRIAAAXG7UEdFRWlrl27ZntE5rZt25SamurSvWHDhqpRo4Y2btwoSdq4caOaNm3qcklYZGSkkpKStGfPnqtO89KlS0pKSnJ5AQBgR/k+67sgfPTRR9q+fbu2bt2arV98fLx8fHwUFBTk0j0kJETx8fFWm6zXbWe8z2iTk/Hjxys6Ovo6qwcAoPC5bYv66NGjevbZZzV//nw5nc4infbo0aOVmJhovY4ePVqk0wcAILfcFtTbtm1TQkKCbrnlFnl5ecnLy0vr1q3TtGnT5OXlpZCQEKWkpOjs2bMuw504cUKhoaGSpNDQ0GxngWe8z2iTE19fXwUEBLi8AACwI7cFdadOnbRr1y7t2LHDerVs2VJ9+vSx/u/t7a3Vq1dbw8TFxenIkSMKDw+XJIWHh2vXrl1KSEiw2qxcuVIBAQFq3Lhxkc8TAAAFzW3HqMuVK6cbb7zRpZu/v78qVqxodR8wYICGDx+uChUqKCAgQM8884zCw8PVtm1bSVLnzp3VuHFj9e3bVxMnTlR8fLxefPFFRUVFydfXt8jnCQCAgubWk8muZcqUKfLw8FCvXr106dIlRUZGasaMGVZ/T09PLV26VIMHD1Z4eLj8/f3Vr18/vfzyy26sGgCAguMwGY/AKsWSkpIUGBioxMTE6zpefeTIEUUt2Cb/CqE69csueToD5eP0UcwjLVSjRo0CrBgAUFq4/TpqAABwdQQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANubl7gJKOpOeruPHj0uSqlWrJg8PfhsBAHKP1ChkyUl/aNTH29U/ZrmOHTvm7nIAAMUMW9RFwBlYST5OH3eXAQAohtiiBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGCGoAAGyMoAYAwMYIagAAbMzL3QWUFiY9XcePH5ckVatWTR4e/EYCAFwbaVFEkpP+0KiPt6t/zHIdO3bM3eUAAIoJtqiLkDOwknycPu4uAwBQjLBFDQCAjRHUAADYGEENAICNEdQAANgYQQ0AgI0R1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANiYW4N6/PjxatWqlcqVK6fKlSurR48eiouLc2mTnJysqKgoVaxYUWXLllWvXr104sQJlzZHjhxR165dVaZMGVWuXFkjRozQ5cuXi3JWAAAoFG4N6nXr1ikqKkqbNm3SypUrlZqaqs6dO+vChQtWm+eee06ff/65Fi5cqHXr1um3335Tz549rf5paWnq2rWrUlJStGHDBs2bN09z587VmDFj3DFLAAAUKIcxxri7iAwnT55U5cqVtW7dOt1xxx1KTExUcHCwFixYoAceeECStG/fPjVq1EgbN25U27Zt9eWXX+ree+/Vb7/9ppCQEEnSzJkz9Y9//EMnT56Uj8+1H4KRlJSkwMBAJSYmKiAgIN/1HzlyRFELtsm/QqhO/bJLns5ApSUnuvzr4/RRzCMtVKNGjXxPBwBQetjqGHViYqIkqUKFCpKkbdu2KTU1VREREVabhg0bqkaNGtq4caMkaePGjWratKkV0pIUGRmppKQk7dmzJ8fpXLp0SUlJSS4vAADsyDZBnZ6ermHDhunWW2/VjTfeKEmKj4+Xj4+PgoKCXNqGhIQoPj7eapM5pDP6Z/TLyfjx4xUYGGi9qlevXsBzAwBAwbBNUEdFRWn37t366KOPCn1ao0ePVmJiovU6evRooU8TAID88HJ3AZI0ZMgQLV26VOvXr1e1atWs7qGhoUpJSdHZs2ddtqpPnDih0NBQq82WLVtcxpdxVnhGm6x8fX3l6+tbwHMBAEDBc+sWtTFGQ4YM0eLFi7VmzRrVrl3bpX+LFi3k7e2t1atXW93i4uJ05MgRhYeHS5LCw8O1a9cuJSQkWG1WrlypgIAANW7cuGhmBACAQuLWLeqoqCgtWLBAn376qcqVK2cdUw4MDJSfn58CAwM1YMAADR8+XBUqVFBAQICeeeYZhYeHq23btpKkzp07q3Hjxurbt68mTpyo+Ph4vfjii4qKimKrGQBQ7Lk1qN955x1JUocOHVy6x8bG6rHHHpMkTZkyRR4eHurVq5cuXbqkyMhIzZgxw2rr6emppUuXavDgwQoPD5e/v7/69eunl19+uahmAwCAQuPWoM7NJdxOp1MxMTGKiYm5apuaNWtq2bJlBVkaAAC2YIuTyUoTk56u48ePW++rVasmDw/bnHwPALAZgrqIJSf9oVEfxysgJF5/njmpOVFduEsZAOCqCGo3cAZWkn+FnC8dAwAgM/a5AgBgYwQ1AAA2xq5vN8p8YhknlQEAckIyuNGVE8u2q3/Mch07dszd5QAAbIgtajdzBlaSj/Paz8wGAJRObFEDAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2xkM5bIDHXQIAroZEsAEedwkAuBq2qG2Cx10CAHLCFjUAADZGUAMAYGMENQAANkZQAwBgYwQ1AAA2RlADAGBjBDUAADZGUAMAYGMENQAANsadyWyEe34DALIiCWyEe34DALJii9pmuOc3ACAztqgBALAxghoAABsjqAEAsDGOUdtcenq6dWIZZ4IDQOnDt77NHTt2TP1jlnMmOACUUmxRFwN+5YPdXQIAwE3YogYAwMYIagAAbIygBgDAxghqAABsjKAGAMDGOOvbhjI/Rev48eOSkeRwb00AAPcgqG3oylO04hUQEq8zh+PkH1KbB3UAQCnFrm+bcgZWkn+FUDkDK7i7FACAGxHUAADYGEENAICNcYy6mMh8ghkP5wCA0oNv+2Liyglm23k4BwCUMmxRFyPOwEqc/Q0ApQxb1AAA2BhBDQCAjRHUAADYGEENAICNEdQAANgYZ30XM1xPDQClC0FdzGQ8sMPL+0e9en8zVa1aVRKhDQAlFUFdDDkDKyktOVGjPt6ugJB4/XnmpOZEdVGNGjXcXRoAoIAR1MVYxhO2AAAlF/tKAQCwMYIaAAAbY9d3CZKenm49sIOTywCgZCCoS4CMS7aOHz+ul5bskiROLgOAEoKgLgEyLtlKSz4n/5DaPGELAEoQgrqEcAZWUpqv9zXbsXscAIoXvqVLmWPHjql/zHL1j1luBTYAwL7Yoi6F/MoHu7sEAEAuEdQlEPcDB4CSg2/wEujKyWXb2b0NACUAW9QllDOwkrx9vKwt6/T0dEnS77//LhlJjuzDZJxoltHWw8ODLXIAcDOCugTLuGwrICReZw7HydNZLtslXJnPAs+4Djs56bQ8neXk7ePN9dgA4GYEdQmX8eCOP8+elKczMNslXBlngfuVD9aZw3HyD6ktp0PydAZyPTYA2ABBXUplPuHMLyjYCnMAgL0Q1KVU1ruZ+bu7IABAjgjqUiy3dzMDALgPQY2rytg9nvkscIlrswGgKBHUuKrMu8c9neUUEFJFf545qTlRXVStWjWXS7kyeHh4XPXyLu4zDgB5R1DjL2XsHvd0Bsq/Qmi2R2pmXMqVOcwzLgXLuLwrI9QzhjEmXa/e30xVq1aVdCW0JRVKiGf+cVDQ4waAolBigjomJkaTJk1SfHy8mjVrpunTp6t169buLqvEyXoSWsalXJnDPONSsIzLuzIuAUtOOi3/kNpKS07UqI+3KyAk3tpCl6T+McutEA8LC5Pkurs9Y1wZ7zMH7tW21jNffpZ1b0BO48mKvQAA3K1EBPX/+3//T8OHD9fMmTPVpk0bTZ06VZGRkYqLi1PlypXdXV6Jk9uT0LJeApb5bmgZ13dnbfNn4kmN+ni7yxb6xdMn9Or9zSTJZYs8c5hnbK1LyrYVn3H5Wda9AVnbZsj8oyA3ewHysvsfAPKqRAT15MmT9cQTT+jxxx+XJM2cOVNffPGF5syZo1GjRrm5utIr69Z3bttk3d3+59n/hXfmLfKsu9v9Q2pbt03NvGs+4/KzrNPK2tavfHC2HwW52QuQl93/OQV41lu3ZpVT8EvXPlTwV3sDCmpPQX7Gk3mY4vaDhkMppZO796wV+6BOSUnRtm3bNHr0aKubh4eHIiIitHHjxhyHuXTpki5dumS9T0xMlCQlJSVdVy3nzp3TufgjSk2+qPMnf5Onb5LSLp3P8V+HLpeSNmWVlpKs8wlH/6JtftpceW8cXkpNvqjLmfoN+el7padcVJlK1a1hrjaezG29/Px14Y94DYk5nG34jGmmJl/U5Ut/av/+/ZKky5f+1OX/v46s9RiHlxzmsvbv36/9+/frhQXrlXI+UR4+ZeTl463XHrlDYWFh+v333136padcdPm3bMXKSvr9V5fhJOmFBeslyRpPVhnjzanNX/XLi/yMJ2MYZ7ny2eYrv3UUlcy1J587UyxqxvXLvJ7Pef5hVa9evcDGXa5cOTkcOTx8ITNTzB0/ftxIMhs2bHDpPmLECNO6deschxk7dqzRlUdT8OLFixcvXm57JSYmXjPniv0WdX6MHj1aw4cPt96np6fr9OnTqlix4rV/2fyFpKQkVa9eXUePHlVAQEBBlFqssTxcsTz+h2XhiuXxP6VtWZQrV+6abYp9UFeqVEmenp46ceKES/cTJ04oNDQ0x2F8fX3l6+vr0i0oKKjAagoICCgVK1husTxcsTz+h2XhiuXxPyyL/yn2Z0H4+PioRYsWWr16tdUtPT1dq1evVnh4uBsrAwDg+hX7LWpJGj58uPr166eWLVuqdevWmjp1qi5cuGCdBQ4AQHFVIoL64Ycf1smTJzVmzBjFx8erefPmWr58uUJCQoq0Dl9fX40dOzbbbvXSiuXhiuXxPywLVyyP/2FZZOcwxhh3FwEAAHJW7I9RAwBQkhHUAADYGEENAICNEdQAANgYQZ1HMTExqlWrlpxOp9q0aaMtW7b8ZfuFCxeqYcOGcjqdatq0qZYtW1ZElRaNvCyPuXPnyuFwuLycTmcRVlt41q9fr27duqlKlSpyOBxasmTJNYf5+uuvdcstt8jX11f16tXT3LlzC73OopLX5fH1119nWzccDofi4+OLpuBCNH78eLVq1UrlypVT5cqV1aNHD8XFxV1zuJL43ZGfZVGSvzdyi6DOg4zHaY4dO1bbt29Xs2bNFBkZqYSEhBzbb9iwQX/72980YMAA/fDDD+rRo4d69Oih3bt3F3HlhSOvy0O6creh33//3XodPny4CCsuPBcuXFCzZs0UExOTq/aHDh1S165d1bFjR+3YsUPDhg3TwIEDtWLFikKutGjkdXlkiIuLc1k/SsJjatetW6eoqCht2rRJK1euVGpqqjp37qwLFy5cdZiS+t2Rn2UhldzvjVwrgOdilBqtW7c2UVFR1vu0tDRTpUoVM378+BzbP/TQQ6Zr164u3dq0aWOefPLJQq2zqOR1ecTGxprAwMAiqs59JJnFixf/ZZuRI0eaJk2auHR7+OGHTWRkZCFW5h65WR5r1641ksyZM2eKpCZ3SkhIMJLMunXrrtqmpH93ZMjNsigt3xt/hS3qXMp4nGZERITV7VqP09y4caNLe0mKjIy8avviJD/LQ5LOnz+vmjVrqnr16urevbv27NlTFOXaTkleN65H8+bNFRYWprvuukvfffedu8spFBmP1a1QocJV25SW9SM3y0Lie4OgzqVTp04pLS0t293OQkJCrnocLT4+Pk/ti5P8LI8GDRpozpw5+vTTT/Wf//xH6enpateunfVA9tLkautGUlKS/vzzTzdV5T5hYWGaOXOmFi1apEWLFql69erq0KGDtm/f7u7SClR6erqGDRumW2+9VTfeeONV25Xk744MuV0WfG+UkFuIongIDw93eVBKu3bt1KhRI82aNUuvvPKKGyuDuzVo0EANGjSw3rdr104HDx7UlClT9MEHH7ixsoIVFRWl3bt369tvv3V3KW6X22XB9wZb1LmWn8dphoaG5ql9cZKf5ZGVt7e3br75Zv3888+FUaKtXW3dCAgIkJ+fn5uqspfWrVuXqHVjyJAhWrp0qdauXatq1ar9ZduS/N0h5W1ZZFUavzcI6lzKz+M0w8PDXdpL0sqVK0vE4zcL4vGiaWlp2rVrl8LCwgqrTNsqyetGQdmxY0eJWDeMMRoyZIgWL16sNWvWqHbt2tccpqSuH/lZFlmVyu8Nd5/NVpx89NFHxtfX18ydO9f89NNPZtCgQSYoKMjEx8cbY4zp27evGTVqlNX+u+++M15eXubNN980e/fuNWPHjjXe3t5m165d7pqFApXX5REdHW1WrFhhDh48aLZt22Z69+5tnE6n2bNnj7tmocCcO3fO/PDDD+aHH34wkszkyZPNDz/8YA4fPmyMMWbUqFGmb9++VvtffvnFlClTxowYMcLs3bvXxMTEGE9PT7N8+XJ3zUKByuvymDJlilmyZIk5cOCA2bVrl3n22WeNh4eHWbVqlbtmocAMHjzYBAYGmq+//tr8/vvv1uvixYtWm9Ly3ZGfZVGSvzdyi6DOo+nTp5saNWoYHx8f07p1a7Np0yarX/v27U2/fv1c2n/88cfmhhtuMD4+PqZJkybmiy++KOKKC1delsewYcOstiEhIeaee+4x27dvd0P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" + ] + }, + "metadata": {}, + "execution_count": 38 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# lingua => categorica... sem ordem...\n", + "\n", + "# budget (orçamento => quantitativa continua)" + ], + "metadata": { + "id": "lpOAdaZeveuD" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# nota de movielens => 0.5, 1 , 1.5, ... , 5=> não tem 2.5\n", + "# quantidade de votos => 1,2,3,4,5... não existe 2.5" + ], + "metadata": { + "id": "IwCnrOQQvv02" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "mais_de_10_votos=tmdb.query(\"vote_count>10\")\n", + "sns.displot(mais_de_10_votos[\"vote_average\"],kde=True)\n", + "plt.title(\"distribuição das medias das notas dos filmes com mais de 10 votos\")\n", + "plt.show()\n" + ], + "metadata": { + "id": "psr6YwHLx3Ey", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 529 + }, + "outputId": "d7d68005-ee0e-4757-c062-d05abeb5c469" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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X11dVqlRRlSpVVKpUKU2ePNn6fiIAAIA7yQ2fIXrllVf0/vvva+rUqWrWrJkk6T//+Y8mTpyoK1eu6PXXX7/tRQIAAOSnGw5EH374od577z39/e9/t6bVr19fd999twYOHEggAgAAd5wbvmR27tw51alTJ9P0OnXqWD/6CgAAcCe54UAUFBSkefPmZZo+b948BQUF3ZaiAAAACtINXzKbNm2a2rdvr2+//VYhISGSpKioKB0/flyrVq267QUCAADkt5v6LbNffvlFTzzxhBISEpSQkKBOnTopNjZWVapUyY8aAQAA8tUNnyGqVq2aTp48menm6bNnz6pSpUpKTU29bcUBAAAUhJv6cdes8OOuAADgTnVTP+46fvx4ftwVAAD8ZfDjrgAAwPb4cVcAAGB7t/TjrgAAAH8FN3xTNQAAwF8NgQgAANgegQgAANgegQgAANgegQgAANgegQgAANheoQaiKVOm6IEHHpCPj4/KlSunxx9/XLGxsU5trly5ovDwcPn5+cnb21udO3fWqVOnnNrExcWpffv2KlGihMqVK6eRI0fq2rVrTm02b96shg0bysPDQzVq1NDixYvze3gAAOAOUaiBaMuWLQoPD9f333+v9evX6+rVq2rbtq0uXbpktRk2bJi++eYbff7559qyZYtOnDihTp06WfNTU1PVvn17paSkaPv27frwww+1ePFijR8/3mpz9OhRtW/fXq1atdKePXs0dOhQ9evXT2vXri3Q8QIAgKLJxWT3a62F4MyZMypXrpy2bNmihx9+WImJiSpbtqyWLFmiLl26SJIOHjyowMBARUVFqWnTplq9erU6dOigEydOyN/fX5I0f/58jR49WmfOnJG7u7tGjx6tyMhI7du3z+qrW7duSkhI0Jo1a3KtKykpSb6+vkpMTFSrySvyNJaY6b1u/AkAAAC3Tcb379x+YaNI3UOUmJgoSSpTpowkKSYmRlevXlVoaKjVpk6dOqpcubKioqIkSVFRUapXr54VhiQpLCxMSUlJ2r9/v9Um4zrS26Sv43rJyclKSkpyegAAgL+uIhOI0tLSNHToUDVr1kz33XefJCk+Pl7u7u4qVaqUU1t/f3/Fx8dbbTKGofT56fNyapOUlKTLly9nqmXKlCny9fW1HpUqVbotYwQAAEVTkQlE4eHh2rdvn5YuXVrYpWjMmDFKTEy0HsePHy/skgAAQD664R93zQ+DBg3SypUrtXXrVlWsWNGaHhAQoJSUFCUkJDidJTp16pQCAgKsNjt37nRaX/qn0DK2uf6TaadOnZLD4ZCXl1emejw8POTh4XFbxgYAAIq+Qj1DZIzRoEGDtHz5cm3cuFHVqlVzmh8cHKzixYtrw4YN1rTY2FjFxcUpJCREkhQSEqK9e/fq9OnTVpv169fL4XCobt26VpuM60hvk74OAABgb4V6hig8PFxLlizR119/LR8fH+ueH19fX3l5ecnX11d9+/bV8OHDVaZMGTkcDg0ePFghISFq2rSpJKlt27aqW7euevbsqWnTpik+Pl5jx45VeHi4dZanf//+mjdvnkaNGqU+ffpo48aN+uyzzxQZGVloYwcAAEVHoZ4heuedd5SYmKiWLVuqfPny1mPZsmVWm1mzZqlDhw7q3LmzHn74YQUEBOirr76y5ru5uWnlypVyc3NTSEiInnnmGfXq1UuTJk2y2lSrVk2RkZFav369goKCNGPGDL333nsKCwsr0PECAICiqUh9D1FRxfcQAQBw57ljv4cIAACgMBCIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RGIAACA7RVqINq6das6duyoChUqyMXFRStWrHCab4zR+PHjVb58eXl5eSk0NFSHDh1yanPu3Dn16NFDDodDpUqVUt++fXXx4kWnNj/99JMeeugheXp6qlKlSpo2bVp+Dw0AANxBCjUQXbp0SUFBQXrrrbeynD9t2jTNnTtX8+fP144dO1SyZEmFhYXpypUrVpsePXpo//79Wr9+vVauXKmtW7fqhRdesOYnJSWpbdu2qlKlimJiYjR9+nRNnDhRCxYsyPfxAQCAO0Oxwuy8Xbt2ateuXZbzjDGaPXu2xo4dq8cee0yS9NFHH8nf318rVqxQt27ddODAAa1Zs0bR0dFq1KiRJOnNN9/U3/72N73xxhuqUKGCIiIilJKSog8++EDu7u669957tWfPHs2cOdMpOAEAAPsqsvcQHT16VPHx8QoNDbWm+fr6qkmTJoqKipIkRUVFqVSpUlYYkqTQ0FC5urpqx44dVpuHH35Y7u7uVpuwsDDFxsbq/PnzWfadnJyspKQkpwcAAPjrKrKBKD4+XpLk7+/vNN3f39+aFx8fr3LlyjnNL1asmMqUKePUJqt1ZOzjelOmTJGvr6/1qFSp0q0PCAAAFFlFNhAVpjFjxigxMdF6HD9+vLBLAgAA+ajIBqKAgABJ0qlTp5ymnzp1ypoXEBCg06dPO82/du2azp0759Qmq3Vk7ON6Hh4ecjgcTg8AAPDXVWQDUbVq1RQQEKANGzZY05KSkrRjxw6FhIRIkkJCQpSQkKCYmBirzcaNG5WWlqYmTZpYbbZu3aqrV69abdavX6/atWurdOnSBTQaAABQlBVqILp48aL27NmjPXv2SPrzRuo9e/YoLi5OLi4uGjp0qF577TX9+9//1t69e9WrVy9VqFBBjz/+uCQpMDBQjz76qJ5//nnt3LlT27Zt06BBg9StWzdVqFBBkvT000/L3d1dffv21f79+7Vs2TLNmTNHw4cPL6RRAwCAoqZQP3b/ww8/qFWrVtbf6SGld+/eWrx4sUaNGqVLly7phRdeUEJCgpo3b641a9bI09PTWiYiIkKDBg1SmzZt5Orqqs6dO2vu3LnWfF9fX61bt07h4eEKDg7WXXfdpfHjx/ORewAAYHExxpjCLqKoS0pKkq+vrxITE9Vq8oo8LRMzvVf+FgUAAHKU8f07t/uBi+w9RAAAAAWFQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyvWGEXYAfBIz/Kc9uY6b3ysRIAAJAVW50heuutt1S1alV5enqqSZMm2rlzZ2GXBAAAigDbBKJly5Zp+PDhmjBhgnbt2qWgoCCFhYXp9OnThV0aAAAoZLa5ZDZz5kw9//zzeu655yRJ8+fPV2RkpD744AO9/PLLhVxd1vJ6qS3jZbabuTzHJT0AgN3ZIhClpKQoJiZGY8aMsaa5uroqNDRUUVFRhVjZna2gAtvN9gUAQF7ZIhD973//U2pqqvz9/Z2m+/v76+DBg5naJycnKzk52fo7MTFRkpSUlKTU5Mt56jMpKcn6d16XudnlbrWvol7fzfb18NhP89zX1te63/QyRbWvol5fQfZV1OsryL4yLgP81aW/Jxhjcm9sbOC///2vkWS2b9/uNH3kyJGmcePGmdpPmDDBSOLBgwcPHjx4/AUex48fzzUr2OIM0V133SU3NzedOnXKafqpU6cUEBCQqf2YMWM0fPhw6++0tDSdO3dOfn5+cnFxcWqblJSkSpUq6fjx43I4HHmu6WaWK6hl/qp9FfX6CrKvol5fQfZV1OsryL6Ken0F2VdRr68g+yrq9eW0nDFGFy5cUIUKFXJdhy0Ckbu7u4KDg7VhwwY9/vjjkv4MORs2bNCgQYMytffw8JCHh4fTtFKlSuXYh8PhuKGNdyvLFdQyf9W+inp9BdlXUa+vIPsq6vUVZF9Fvb6C7Kuo11eQfRX1+rJbztfXN0/L2iIQSdLw4cPVu3dvNWrUSI0bN9bs2bN16dIl61NnAADAvmwTiLp27aozZ85o/Pjxio+PV4MGDbRmzZpMN1oDAAD7sU0gkqRBgwZleYnsVnh4eGjChAmZLrHlx3IFtcxfta+iXl9B9lXU6yvIvop6fQXZV1GvryD7Kur1FWRfRb2+W1kuIxdj8vJZNAAAgL8u2/x0BwAAQHYIRAAAwPYIRAXIGKMXXnhBZcqUkYuLi/bs2VMg/S5evDjXrw3IqGXLlho6dOgtt3NxcdGKFSsyTX/22Wetrz+4UXmtraAUdj2F3X9W2/h27OebN2+Wi4uLEhISspxf2OPOT7mNrWrVqpo9e3aB1DJx4kQ1aNDghpa5leP7Vt3MfpHf+9LNbK+DBw+qadOm8vT0zPX5z+519lbdycdYbq8f2bHVTdWFbc2aNVq8eLE2b96s6tWr66677irskvLVyZMnVbp06UzT58yZk7evUc/CV199peLFi0v684Vm6NChd+xBm5s7dXw3s5+3bNlSDRo0KJA3+oLs62Zk3McL24gRIzR48ODCLsN2JkyYoJIlSyo2Nlbe3t63vL6b2ecLaj8sSscjgagAHTlyROXLl9eDDz6Y5fyUlBS5u7sXcFX5J6tvAZfy/iVZWSlTpsxNL3sz/mrbpCDktp/bVV73pYLax69evZrrG563t/dteUPGjTly5Ijat2+vKlWqFEh/xhilpqaqWLH/iwQF/VpbFHDJLI/S0tI0ZcoUVatWTV5eXgoKCtIXX3wh6f9Oz23YsEGNGjVSiRIl9OCDDyo2NtZa/tlnn9XgwYMVFxcnFxcXVa1aVS1bttSgQYM0dOhQ3XXXXQoLC8tTf+fPn1ePHj1UtmxZeXl5qWbNmpo+fbpcXFwyPVq2bGmtc+3atQoMDJS3t7ceffRRnTx5UpcuXVKvXr3k7e2t8uXLa8aMGU7jTk5O1ogRI3T33XerZMmSatKkiTZv3uxU56hRo1SmTBkFBARo4sSJ1ry8XDJbs2aNmjdvrlKlSsnPz08dOnTQkSNHst0O6adxW7Zsqd9++03Dhg2zxnr99po2bZpq1KghDw8PVa5cWa+//rqOHTsmFxcXffXVV2rVqpVKlCihoKAgRUVFWeu/fptcf9knISFBLi4uTs9DusjISPn6+ioiIkJ79+5V69at5eXlJT8/P73wwgu6ePGi01jSvwrC19dXd911l8aNGydjTJbjy21bffzxx2rUqJF8fHwUEBCgp59+WqdPn9YXX3yhevXqWXWEhobq66+/lqenZ6ZTykOGDFHr1q2danzxxRez3cZZbdvr9/PctvGzzz6rLVu2aM6cOdZYjx07JkmKiYnJ9pjKad9LSEhQv379VLZsWTkcDrVu3Vo//vhjln0dOXJEffv2tY612rVra86cOXnan1JSUjRo0CCVL19enp6eqlKliqZMmZLtvrRlyxY1btxYHh4eKl++vF5++WVdu3bNqa+MlypOnz6tjh07ysvLS9WqVVNERES2z31Oz3P6fr9s2TK1aNFCnp6eioiI0IIFC1ShQgWlpaU5reuxxx5Tnz59crxkltV+denSpUztctrPJentt99WzZo15enpKX9/f3Xp0iXX/S4uLk6PPfaYvL295XA49NRTT2X6aSbp/45HFxeXTF+5cubMGbm7u+v8+fPZ7kvpz1tOx39u47vRbeXi4qKYmBhNmjTJOoZyOwZPnjypdu3aycvLS9WrV7feK6Ssj6/FixfLxcVFq1evVnBwsDw8PPSf//wn03ZL3w+z2kYZn8eAgAD985//tKZt375d7u7u2rBhg0JDQxUWFmY9H+fOnVPFihU1fvz4bI/9ffv2qV27dvL29pa/v7969uyp//3vf0715fQeedNu7WdT7eO1114zderUMWvWrDFHjhwxixYtMh4eHmbz5s1m06ZNRpJp0qSJ2bx5s9m/f7956KGHzIMPPmgtn5CQYCZNmmQqVqxoTp48aU6fPm1atGhhvL29zciRI83BgwfNwYMH89RfeHi4adCggYmOjjZHjx4169evN8uXLzcnT560Hrt37zZ+fn5m3LhxZtGiRaZ48eImNDTUREdHm5iYGBMYGGiefvppM2DAAFO5cmXz7bffmp9++sl06NDB+Pj4mCFDhhhjjOnXr5958MEHzdatW83hw4fN9OnTjYeHh/nll19MixYtjMPhMBMnTjS//PKL+fDDD42Li4tZt26dMcYYSWb58uWZnsvevXubxx57zBhjzBdffGG+/PJLc+jQIbN7927TsWNHU69ePZOamprldmjRooUZMmSIOXv2rKlYsaKZNGmSNeaMRo0aZUqXLm0WL15sDh8+bL777juzcOFCc/ToUSPJ1KlTx6xcudLExsaaLl26mCpVqpirV69muU0kmd27d1vrPn/+vJFkNm3aZNVjjDERERHGx8fHfPPNN+bixYumfPnyplOnTmbv3r1mw4YNplq1aqZ3795OY/H29jZDhgwxBw8eNJ988okpUaKEWbBgQZbjy21bvf/++2bVqlXmyJEjJioqyoSEhJhWrVqZYsWKmZkzZ5qjR4+an376ybz11lsmISHB+Pv7m/fee8+q59q1a5mm3eg2zmo/z20bJyQkmJCQEPP8889bY/32229zPKZyqys0NNR07NjRREdHm19++cW89NJLxs/Pzxw9ejRTX1euXDHjx4830dHR5tdff7W2w7Jly3Ldn6ZPn24qVapktm7dao4dO2a+++47s2TJEqftm74vbd682ZQoUcIMHDjQHDhwwCxfvtzcddddZsKECVnu48YY065dOxMUFGSioqLMDz/8YB588EHj5eVlZs2alenYyOl5Tt/vq1atar788kvz66+/mhMnTphz584Zd3d38+2331rrOXv2rDVtwoQJJigoKFNfJ06cyHK/unDhgtPxndt+Hh0dbdzc3MySJUvMsWPHzK5du8ycOXNy3L6pqammQYMGpnnz5uaHH34w33//vQkODjYtWrTI9niMiIgwpUuXNleuXLHqmjlzpqlatWqOfaU/b9kd/7mNzxhjqlSpkml75bStTp48ae69917z0ksvmZMnT5rmzZvnegz6+fmZhQsXmtjYWDN27Fjj5uZmfv7551yPr/r165t169aZw4cPm7Nnz2a5H2a3jTKKjIw0xYsXN9HR0SYpKclUr17dDBs2zBhjzO+//25Kly5tZs+ebYwx5sknnzSNGzc2V69ezbK2//3vf6Zs2bJmzJgx5sCBA2bXrl3mkUceMa1atXLqMy/vyefPn8+07+aEQJQHV65cMSVKlDDbt293mt63b1/TvXt368nP+KISGRlpJJnLly9b02bNmmWqVKli/d2iRQtz//3333B/HTt2NM8991y29V6+fNk0adLEdOjQwaSmpppFixYZSebw4cNWm7feesuULVvWuLu7m88++8yafvbsWePl5WWGDBlifvvtN+Pm5mb++9//Oq2/TZs2ZsyYMaZFixamefPmTvMeeOABM3r0aGNM3gLR9c6cOWMkmb1792Y5P+MLXlYvNMYYk5SUZDw8PMzChQszzUt/gcv4pr9//34jyRw4cCDTNsntBTG9nnnz5hlfX1+zefNmY4wxCxYsMKVLlzYXL160louMjDSurq4mPj7eGktgYKBJS0uz2owePdoEBgZmGt+FCxdy3FZZiY6Otn7p+dixY5nmDxkyxLRu3dr6e+3atcbDw8PpReRmtvH1+/n1strGGberMSbXYyqnur777jvjcDic3vyMMeaee+4x7777bqa+shIeHm46d+5sjMl5fxo8eLBp3bq10zbMOKaM+9L/+3//z9SuXdup7VtvvWW8vb2d/gOQXl9sbKyRZHbu3GnNO3DggJGU5X5/vYzPc/p+nP6mlNFjjz1m+vTpY/397rvvmgoVKpjU1NRsA1FMTEy2+1VWgSi7/fzLL780DofDJCUlOa0jp+27bt064+bmZuLi4qx56cdww4YNszweL1++bEqXLu0UcuvXr28mTpyYY195DUR5PY6zc/0xERQUZAXlvByD/fv3d5rfpEkTM2DAAKfnM6vja8WKFdnWlL5MdtvoegMHDjS1atUyTz/9tKlXr57T8ffZZ58ZT09P8/LLL5uSJUuaX375JdvaJk+ebNq2beu07uPHjxtJJjY21hiT9/fkGw1EXDLLg8OHD+uPP/7QI488Yl1T9/b21kcffeR06r9+/frWv8uXLy/pz1PeOQkODr7h/gYMGKClS5eqQYMGGjVqlLZv3+60fJ8+fXThwgUtWbJErq5/buISJUronnvucarvzJkzSklJUZMmTazpZcqUUe3atSVJe/fuVWpqqmrVquVUx5YtW6xxZxxz+npzG3NGhw4dUvfu3VW9enU5HA5VrVpV0p+nxG/WgQMHlJycrDZt2mTbJqdtldU2yckXX3yhYcOGaf369WrRooVVQ1BQkEqWLGm1a9asmdLS0pwu+zRt2tTpcl9ISIgOHTqk1NRUpz6OHDmS47aS/ry81LFjR1WuXFk+Pj5WLU2bNlW9evX05JNPauHChTp//rwkqUePHtq8ebNOnDghSYqIiFD79u0zfSKxMLdxTtspu7p+/PFHXbx4UX5+fk777dGjR7O9HPvWW28pODhYZcuWlbe3txYsWGDVl9P+9Oyzz2rPnj2qXbu2XnzxRa1bt85pfsZ96cCBAwoJCXHa3s2aNdPFixf1+++/Z1r3gQMHVKxYMad11KlTJ9tPjObleW7UqFGm5Xr06KEvv/xSycnJkv7cD7p162a9dmQlKChIbdq0yXK/ykp2+3mbNm1UpUoVVa9eXT179lRERIT++OMPSdlv3wMHDqhSpUqqVKmSNa9u3boqVaqU/vjjjyyPR09PT/Xs2VMffPCBJGnXrl3at2+fnn322Rz7yqu8HsfpbvSYyK2+kJAQp/khISE6cOBArnVntT9c75FHHsl2G2X0xhtv6Nq1a/r8888VERHh9I3RTz75pJ544glNnTpVb7zxhmrWrJltfz/++KM2bdrkdOzWqVNHkqzjN6/vyTeKm6rzIP2+j8jISN19991O8zw8PKwNkPEGxfSD4/pr89fL+IaZ1/4qVaqk3377TatWrdL69evVpk0bhYeH64033tBrr72mtWvXaufOnfLx8bGWu/7myevvucnKxYsX5ebmppiYGLm5uTnN8/b2Vrdu3bJcb25jzqhjx46qUqWKFi5caN3LcN999yklJSXP67iel5dXrm1y2lYZt0n6m4LJcD/A1atXndZ1//33a9euXfrggw/UqFGjPD23t9ulS5cUFhamsLAwRUREqGzZsoqLi1NYWJjefvtt/fHHH1q3bp3efPNNvfLKK9qxY4ceeOAB3XPPPVq6dKkGDBig5cuXa/HixZnWXZjbOKftlF1dFy9eVPny5bO8x6tUqVJO9z9I0tKlSzVixAjNmDFDISEh8vHx0fTp07Vjxw5JOe9PDRs21NGjR7V69Wp9++23euqppxQaGmrdy5DV8Z1f8vI8Z1VPx44dZYxRZGSkHnjgAX333XeaNWtWjn25ublp/fr12r59e6b96kZ4e3tr165d2rx5s9atW6fx48dr4sSJ8vf3v+n9LrvjsV+/fmrQoIF+//13LVq0SK1bt7ZuWs6ur7wc/zfjRo+JWz0Gs5OX/dPHxyfLbRQdHe0Uzo8cOaITJ04oLS1Nx44dU7169ax5f/zxh/U+cujQoRz7u3jxojp27Kh//etfmeal/6cor+/JN4ozRHlQt25deXh4KC4uTjVq1HB6ZPxfSkH2V7ZsWfXu3VuffPKJZs+erQULFujLL7/UpEmT9NlnnzmdDcpJ8eLFnV7Ezp8/r19++UXSny8sqampOn36dKY6svsE2Y04e/asYmNjNXbsWLVp00aBgYE5/i/zeu7u7ln+D6xmzZry8vLShg0bbrnGsmXLSvrzpsV013+vzj333KNNmzbp66+/tj6iHBgYqB9//NHpJtNt27bJ1dXV6azO9W8g33//vWrWrCk3Nzen8d1zzz05bquDBw/q7Nmzmjp1qh566CHVqVPH+h+ki4uLmjVrpldffVW7d++Wu7u7li9fLunPswMRERH65ptv5Orqqvbt29/S83W9vG7j7LblzWjYsKHi4+NVrFixTPvtXXfdlamvbdu26cEHH9TAgQN1//33q0aNGk4vqLntTw6HQ127dtXChQu1bNkyffnllzp37lymdoGBgYqKinJ6c922bZt8fHxUsWLFTO3r1Kmja9euKSYmxpoWGxub5Xer3Mqx5OnpqU6dOikiIkKffvqpateurYYNG+a6XE771fVy2s+LFSum0NBQTZs2TT/99JOOHTuW4/fHBAYG6vjx4zp+/Lg17eeff1ZCQoJ1Jvz641GS6tWrp0aNGmnhwoVasmSJ+vTpk+sY83L85za+693q615Wvv/++0x/BwYGWn/f6vGV1TbauHGjNT8lJUXPPPOMunbtqsmTJ6tfv35OZ7Beeuklubq6avXq1Zo7d67TstfX1rBhQ+3fv19Vq1bNdPymB7j8ek/mDFEe+Pj4aMSIERo2bJjS0tLUvHlzJSYmatu2bXI4HLf9o5G59XfkyBEFBwfr3nvvVXJyslauXKkqVaqoV69eGj16tO69917Fx8dLUq4f8+3bt69GjhwpPz8/lStXTq+88or1v6JatWqpR48e6tWrl2bMmKH7779fZ86c0YYNGzKdwr0ZpUuXlp+fnxYsWKDy5csrLi5OL7/8cp6Xr1q1qrZu3apu3brJw8PD+r4bT09PjR49WqNGjZK7u7uaNWumM2fOaP/+/TleRsuKl5eXmjZtqqlTp6patWo6ffq0xo4dm6ldrVq1tGnTJrVs2VLFihXTP//5T02YMEG9e/fWxIkTdebMGQ0ePFg9e/aUv7+/tVxcXJyGDx+uf/zjH9q1a5fefPNN69Nj148vp21VuXJlubu7680331T//v21b98+TZ48WZL0/vvvq3fv3ipXrpx27NihM2fOWC+WPXr00MSJE/X666+rS5cut/TDiFnJ6zauWrWqduzYoWPHjsnb2/uW/vcbGhqqkJAQPf7445o2bZpq1aqlEydOKDIyUk888USmvmrWrKmPPvpIa9euVbVq1fTxxx8rOjpa1apVk5Tz/pSYmKjy5cvr/vvvl6urqz7//HMFBARkeVlr4MCBmj17tgYPHqxBgwYpNjZWEyZM0PDhw7O8PFW7dm09+uij+sc//qF33nlHxYoV09ChQ7M8Y3Wrx1KPHj3UoUMH7d+/X88880yu7Xfs2KENGzaobdu2mfarn376KVP77PbzlStX6tdff9XDDz+s0qVLa9WqVUpLS8vxrFxoaKjq1aunHj16aPbs2bp27ZoGDhxoXR6TMh+P6d9x069fPw0aNEglS5bUE088kes483r853QcX+9Wt1VWPv/8czVq1EjNmzdXRESEdu7cqffff9+afyvHV3bbKON/7F555RUlJiZq7ty58vb21qpVq9SnTx+tXLlSkZGR+uCDDxQVFaWGDRtq5MiR6t27t3766SeVLl06U23h4eFauHChunfvbn2y7vDhw1q6dKnee+89ubm55dt7MmeI8mjy5MkaN26cpkyZosDAQD366KOKjIy0XjQLsj93d3eNGTNG9evX18MPPyw3Nzf16tVLf/zxh1577TWVL1/eenTq1CnHfqZPn66HHnpIHTt2VGhoqJo3b+50z8KiRYvUq1cvvfTSS6pdu7Yef/xxRUdHq3Llyrc8RldXVy1dulQxMTG67777NGzYME2fPj3Py0+aNEnHjh3TPffcY/1PLt24ceP00ksvafz48QoMDFTXrl1v6J6AjD744ANdu3ZNwcHBGjp0qF577bUs29WuXVsbN27Up59+qnHjxmnt2rU6d+6cHnjgAXXp0kVt2rTRvHnznJbp1auXLl++rMaNGys8PFxDhgzRCy+8kOX4ctpWZcuW1eLFi/X555+rbt261rV66c/7Jf72t7+pVq1aGjt2rGbMmKF27dpJkmrUqKHGjRvrp59+Uo8ePW7q+clJXrfxiBEj5Obmprp161qX+26Wi4uLVq1apYcffljPPfecatWqpW7duum3336Tv79/pr7CwsLUqVMnde3aVU2aNNHZs2c1cOBAp3Vmtz/5+Pho2rRpatSokR544AEdO3ZMq1atyjLg3H333Vq1apV27typoKAg9e/fX3379s3yDTbdokWLVKFCBbVo0UKdOnXSCy+8oHLlymVqd6vHUuvWrVWmTBnFxsbq6aefzrW9w+HQ1q1bs92vrpfdfl6qVCl99dVXat26tQIDAzV//nx9+umnOV7KcXFx0ddff63SpUvr4YcfVmhoqKpXr65ly5Y5tct4PL700kuSpO7du6tYsWLq3r27PD098/Tc5OX4z+k4vt6tbqusvPrqq1q6dKnq16+vjz76SJ9++qnq1q1rzb+V4yu7bXTvvfdK+vNrZ2bPnq2PP/5YDodDrq6u+vjjj/Xdd99p8uTJ6tu3ryZOnGiddXz11Vfl7++v/v37Z1lbSkqKtm3bptTUVLVt21b16tXT0KFDVapUKafjKj/ek/m1exS47t27y83NTZ988klhl1KoitI3tAL5pSjt5+n/wYiOjs7TZcG8KErjw63hDBEKzLVr1/Tzzz8rKirK+t8FAOS3q1evKj4+XmPHjlXTpk1vWxjCXwuBCAVm3759atSoke69917rdCkA5Ldt27apfPnyio6O1vz58wu7HBRRXDIDAAC2xxkiAABgewQiAABgewQiAABgewQiAABgewQiAABgewQiALfFxIkT1aBBgxtapmXLlho6dGih1fHss8/q8ccfv639A7gz8VtmAG6LESNGOP2YZl589dVXmX7JGwAKA4EIwC0xxig1NVXe3t7y9va+oWXLlCmTT1UBwI3hkhmATJKTk/Xiiy+qXLly8vT0VPPmzRUdHS3pzx9zdHFx0erVqxUcHCwPDw/95z//yXSp6tq1a3rxxRdVqlQp+fn5afTo0erdu7fTJarrL5lVrVpV//znP9WnTx/5+PiocuXKWrBggVNto0ePVq1atVSiRAlVr15d48aN09WrV2/LuNesWaPmzZtbNXfo0EFHjhyx5h87dkwuLi766quv1KpVK5UoUUJBQUGKiopyWs/ChQtVqVIllShRQk888YRmzpypUqVKWfOzulQ3dOhQtWzZMs+1SNL27dvVoEEDeXp6qlGjRlqxYoVcXFy0Z88eq82+ffvUrl07eXt7y9/fXz179tT//ve/W36ugL8aAhGATEaNGqUvv/xSH374oXbt2qUaNWooLCxM586ds9q8/PLLmjp1qg4cOKD69etnWse//vUvRUREaNGiRdq2bZuSkpK0YsWKXPueMWOGGjVqpN27d2vgwIEaMGCAYmNjrfk+Pj5avHixfv75Z82ZM0cLFy7UrFmzbsu4L126pOHDh+uHH37Qhg0b5OrqqieeeEJpaWlO7V555RWNGDFCe/bsUa1atdS9e3ddu3ZN0p8/E9G/f38NGTJEe/bs0SOPPKLXX3/9tteSlJSkjh07ql69etq1a5cmT56s0aNHO60jISFBrVu31v33368ffvhBa9as0alTp/TUU0/d5DME/IUZAMjg4sWLpnjx4iYiIsKalpKSYipUqGCmTZtmNm3aZCSZFStWOC03YcIEExQUZP3t7+9vpk+fbv197do1U7lyZfPYY49Z01q0aGGGDBli/V2lShXzzDPPWH+npaWZcuXKmXfeeSfbeqdPn26Cg4OzrSMnvXv3dqrnemfOnDGSzN69e40xxhw9etRIMu+9957VZv/+/UaSOXDggDHGmK5du5r27ds7radHjx7G19c3x36HDBliWrRokeda3nnnHePn52cuX75stVm4cKGRZHbv3m2MMWby5Mmmbdu2Tus5fvy4kWRiY2Oz7QuwI84QAXBy5MgRXb16Vc2aNbOmFS9eXI0bN9aBAwesaY0aNcp2HYmJiTp16pQaN25sTXNzc1NwcHCu/Wc82+Ti4qKAgACdPn3amrZs2TI1a9ZMAQEB8vb21tixYxUXF5fn8eXk0KFD6t69u6pXry6Hw6GqVatKUqb1Z6yxfPnykmTVGBsb6zRuSZn+vh21xMbGqn79+vL09My2nx9//FGbNm2y7u/y9vZWnTp1JCnT5TfA7ripGsBNKVmyZL6s9/pPnbm4uFiXiaKiotSjRw+9+uqrCgsLk6+vr5YuXaoZM2bclr47duyoKlWqaOHChapQoYLS0tJ03333KSUlJdsaXVxcJCnTZbWcuLq6ylz3u9rX3weV11pycvHiRXXs2FH/+te/Ms1LD3IA/sQZIgBO7rnnHrm7u2vbtm3WtKtXryo6Olp169bN0zp8fX3l7+9v3YgtSampqdq1a9ct1bZ9+3ZVqVJFr7zyiho1aqSaNWvqt99+u6V1pjt79qxiY2M1duxYtWnTRoGBgTp//vwNr6d27dpO45aU6e+yZcvq5MmTTtMy3gidl1pq166tvXv3Kjk5Odt+GjZsqP3796tq1aqqUaOG0yO/Ai1wpyIQAXBSsmRJDRgwQCNHjtSaNWv0888/6/nnn9cff/yhvn375nk9gwcP1pQpU/T1118rNjZWQ4YM0fnz560zKjejZs2aiouL09KlS3XkyBHNnTtXy5cvv+n1ZVS6dGn5+flpwYIFOnz4sDZu3Kjhw4ff8HoGDx6sVatWaebMmTp06JDeffddrV692mncrVu31g8//KCPPvpIhw4d0oQJE7Rv374bquXpp59WWlqaXnjhBR04cEBr167VG2+8Ien/zlqFh4fr3Llz6t69u6Kjo3XkyBGtXbtWzz33nFJTU2/maQL+sghEADKZOnWqOnfurJ49e6phw4Y6fPiw1q5dq9KlS+d5HaNHj1b37t3Vq1cvhYSEyNvbW2FhYU73vNyov//97xo2bJgGDRqkBg0aaPv27Ro3btxNry8jV1dXLV26VDExMbrvvvs0bNgwTZ8+/YbX06xZM82fP18zZ85UUFCQ1qxZo2HDhjmNOywsTOPGjdOoUaP0wAMP6MKFC+rVq9cN1eJwOPTNN99oz549atCggV555RWNHz9ekqy+KlSooG3btik1NVVt27ZVvXr1NHToUJUqVUqurrz8Axm5mOsvZANAPkhLS1NgYKCeeuopTZ48ubDLKVDPP/+8Dh48qO+++y5f+4mIiNBzzz2nxMREeXl55WtfwF8NN1UDyBe//fab1q1bpxYtWig5OVnz5s3T0aNH9fTTTxd2afnujTfe0COPPKKSJUtq9erV+vDDD/X222/f9n4++ugjVa9eXXfffbd+/PFHjR49Wk899RRhCLgJBCIA+cLV1VWLFy/WiBEjZIzRfffdp2+//VaBgYEFVkNOPyWyevVqPfTQQ/nS786dOzVt2jRduHBB1atX19y5c9WvX7/b3k98fLzGjx+v+Ph4lS9fXk8++eRNfQkkAC6ZAfgLO3z4cLbz7r77bs6kALAQiAAAgO3xMQMAAGB7BCIAAGB7BCIAAGB7BCIAAGB7BCIAAGB7BCIAAGB7BCIAAGB7BCIAAGB7/x9mrcuSdtuUZwAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "sns.countplot(data=tmdb, x=\"original_language\")\n", + "plt.title(\"contagem de filmes por lingua\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 472 + }, + "id": "tDgNj09SJ1KJ", + "outputId": "192661f0-da5e-4b58-af18-65ead3f8b494" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# grafico de pizza do pandas\n", + "\n", + "contagem_de_lingua.plot(kind=\"pie\",y=\"total\",labels=contagem_de_lingua[\"original_language\"])\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 840 + }, + "id": "ZE3Sb2vDOujX", + "outputId": "0132fa62-45d3-4cde-f49b-8eacb522e430" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 46 + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "total_por_lingua=tmdb[\"original_language\"].value_counts()\n", + "total_geral= total_por_lingua.sum()\n", + "total_ingles= total_por_lingua.loc[\"en\"]\n", + "total_do_resto= total_geral - total_ingles\n", + "print(f\"a contagem de todas as línguas é de: {total_geral}\")\n", + "print(f\"a linguagem que lidera a contagem de filmes por lingua é ingles com a contagem de: {total_ingles} \")\n", + "print(f\"como o ingles tem a maioria dos pontos somatatorios da contagem, não levando ele em consideração a contagem rstante fica de: {total_do_resto} \")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qrLD4ZYaTTaq", + "outputId": "6e9f3512-0dde-4c42-8743-53c09e3f092b" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "a contagem de todas as línguas é de: 4803\n", + "a linguagem que lidera a contagem de filmes por lingua é ingles com a contagem de: 4505 \n", + "como o ingles tem a maioria dos pontos somatatorios da contagem, não levando ele em consideração a contagem rstante fica de: 298 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(f\"tranformando isso em uma tabela teremos:\\n\")\n", + "\n", + "dados = {\n", + " \"lingua\":[ \"ingles\", \"outros\"],\n", + " \"total\": [total_ingles, total_do_resto]\n", + "}\n", + "dados = pd.DataFrame(dados)\n", + "dados\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 160 + }, + "id": "qRGjqbskYyFx", + "outputId": "59fc6303-04c2-43ed-f94a-f3426e5248d3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "tranformando isso em uma tabela teremos:\n", + "\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " lingua total\n", + "0 ingles 4505\n", + "1 outros 298" + ], + "text/html": [ + "\n", + "
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"markdown", + "metadata": { + "id": "L5znN40TjEM3" + }, + "source": [ + "# Analise de casos de saúde em estados ameticanos entre 2015 e 2016\n", + "## analise com insights\n", + " material de estudo" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uGoswVy9jEM4" + }, + "source": [ + "## Importando bibliotecas importantes e a tabela original" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "_Q-JrCikjEM4", + "outputId": "03cca34e-605e-435a-f30e-6238fd7806b9" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearStateAbbrStateDescCityNameGeographicLevelDataSourceCategoryUniqueIDMeasureData_Value_Unit...High_Confidence_LimitData_Value_Footnote_SymbolData_Value_FootnotePopulationCountGeolocationCategoryIDMeasureIdCityFIPSTractFIPSShort_Question_Text
02015INIndianaFishersCityBRFSSHealth Outcomes1823278High blood pressure among adults aged >=18 Years%...24.7NaNNaN76794POINT (-85.969310702 39.9587635263)HLTHOUTBPHIGH1823278.0NaNHigh Blood Pressure
12015CACaliforniaMilpitasCityBRFSSHealth Outcomes0647766High blood pressure among adults aged >=18 Years%...22.5NaNNaN66790POINT (-121.892083025 37.433869763)HLTHOUTBPHIGH647766.0NaNHigh Blood Pressure
22015CTConnecticutStamfordCityBRFSSHealth Outcomes0973000High blood pressure among adults aged >=18 Years%...26.2NaNNaN122643POINT (-73.5589363142 41.1049145013)HLTHOUTBPHIGH973000.0NaNHigh Blood Pressure
32015CACaliforniaElk GroveCityBRFSSHealth Outcomes0622020High blood pressure among adults aged >=18 Years%...27.8NaNNaN153015POINT (-121.384137762 38.4159992006)HLTHOUTBPHIGH622020.0NaNHigh Blood Pressure
42015FLFloridaPalm BayCityBRFSSPrevention1254000Cholesterol screening among adults aged >=18 Y...%...78.4NaNNaN103190POINT (-80.6666722846 27.9838255249)PREVENTCHOLSCREEN1254000.0NaNCholesterol Screening
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" + ], + "text/plain": [ + " Year StateAbbr StateDesc CityName GeographicLevel DataSource \\\n", + "0 2015 IN Indiana Fishers City BRFSS \n", + "1 2015 CA California Milpitas City BRFSS \n", + "2 2015 CT Connecticut Stamford City BRFSS \n", + "3 2015 CA California Elk Grove City BRFSS \n", + "4 2015 FL Florida Palm Bay City BRFSS \n", + "\n", + " Category UniqueID \\\n", + "0 Health Outcomes 1823278 \n", + "1 Health Outcomes 0647766 \n", + "2 Health Outcomes 0973000 \n", + "3 Health Outcomes 0622020 \n", + "4 Prevention 1254000 \n", + "\n", + " Measure Data_Value_Unit ... \\\n", + "0 High blood pressure among adults aged >=18 Years % ... \n", + "1 High blood pressure among adults aged >=18 Years % ... \n", + "2 High blood pressure among adults aged >=18 Years % ... \n", + "3 High blood pressure among adults aged >=18 Years % ... \n", + "4 Cholesterol screening among adults aged >=18 Y... % ... \n", + "\n", + " High_Confidence_Limit Data_Value_Footnote_Symbol Data_Value_Footnote \\\n", + "0 24.7 NaN NaN \n", + "1 22.5 NaN NaN \n", + "2 26.2 NaN NaN \n", + "3 27.8 NaN NaN \n", + "4 78.4 NaN NaN \n", + "\n", + " PopulationCount Geolocation CategoryID \\\n", + "0 76794 POINT (-85.969310702 39.9587635263) HLTHOUT \n", + "1 66790 POINT (-121.892083025 37.433869763) HLTHOUT \n", + "2 122643 POINT (-73.5589363142 41.1049145013) HLTHOUT \n", + "3 153015 POINT (-121.384137762 38.4159992006) HLTHOUT \n", + "4 103190 POINT (-80.6666722846 27.9838255249) PREVENT \n", + "\n", + " MeasureId CityFIPS TractFIPS Short_Question_Text \n", + "0 BPHIGH 1823278.0 NaN High Blood Pressure \n", + "1 BPHIGH 647766.0 NaN High Blood Pressure \n", + "2 BPHIGH 973000.0 NaN High Blood Pressure \n", + "3 BPHIGH 622020.0 NaN High Blood Pressure \n", + "4 CHOLSCREEN 1254000.0 NaN Cholesterol Screening \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "df1=pd.read_csv(\"500_Cities__Local_Data_for_Better_Health__2018_release.csv\")\n", + "df1.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bMBlGInWjEM5" + }, + "source": [ + "## Renomeando tabela\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "938DjuHejEM5", + "outputId": "11f6acf6-5e1c-44e4-b94e-6b41803f9207" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoSiglaEstadoDescricaoEstadoNomeCidadeNivelGeograficoFonteDadosCategoriaIDUnicoMedidaUnidadeValorDados...LimiteSuperiorConfiancaSimboloNotaRodapeDadosNotaRodapeDadosContagemPopulacionalGeolocalizacaoIDCategoriaIDMedidaFIPSCidadeFIPSTratoTextoCurtoPergunta
02015INIndianaFishersCityBRFSSHealth Outcomes1823278High blood pressure among adults aged >=18 Years%...24.7NaNNaN76794POINT (-85.969310702 39.9587635263)HLTHOUTBPHIGH1823278.0NaNHigh Blood Pressure
12015CACaliforniaMilpitasCityBRFSSHealth Outcomes0647766High blood pressure among adults aged >=18 Years%...22.5NaNNaN66790POINT (-121.892083025 37.433869763)HLTHOUTBPHIGH647766.0NaNHigh Blood Pressure
22015CTConnecticutStamfordCityBRFSSHealth Outcomes0973000High blood pressure among adults aged >=18 Years%...26.2NaNNaN122643POINT (-73.5589363142 41.1049145013)HLTHOUTBPHIGH973000.0NaNHigh Blood Pressure
32015CACaliforniaElk GroveCityBRFSSHealth Outcomes0622020High blood pressure among adults aged >=18 Years%...27.8NaNNaN153015POINT (-121.384137762 38.4159992006)HLTHOUTBPHIGH622020.0NaNHigh Blood Pressure
42015FLFloridaPalm BayCityBRFSSPrevention1254000Cholesterol screening among adults aged >=18 Y...%...78.4NaNNaN103190POINT (-80.6666722846 27.9838255249)PREVENTCHOLSCREEN1254000.0NaNCholesterol Screening
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5 rows × 24 columns

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" + ], + "text/plain": [ + " Ano SiglaEstado DescricaoEstado NomeCidade NivelGeografico FonteDados \\\n", + "0 2015 IN Indiana Fishers City BRFSS \n", + "1 2015 CA California Milpitas City BRFSS \n", + "2 2015 CT Connecticut Stamford City BRFSS \n", + "3 2015 CA California Elk Grove City BRFSS \n", + "4 2015 FL Florida Palm Bay City BRFSS \n", + "\n", + " Categoria IDUnico \\\n", + "0 Health Outcomes 1823278 \n", + "1 Health Outcomes 0647766 \n", + "2 Health Outcomes 0973000 \n", + "3 Health Outcomes 0622020 \n", + "4 Prevention 1254000 \n", + "\n", + " Medida UnidadeValorDados ... \\\n", + "0 High blood pressure among adults aged >=18 Years % ... \n", + "1 High blood pressure among adults aged >=18 Years % ... \n", + "2 High blood pressure among adults aged >=18 Years % ... \n", + "3 High blood pressure among adults aged >=18 Years % ... \n", + "4 Cholesterol screening among adults aged >=18 Y... % ... \n", + "\n", + " LimiteSuperiorConfianca SimboloNotaRodapeDados NotaRodapeDados \\\n", + "0 24.7 NaN NaN \n", + "1 22.5 NaN NaN \n", + "2 26.2 NaN NaN \n", + "3 27.8 NaN NaN \n", + "4 78.4 NaN NaN \n", + "\n", + " ContagemPopulacional Geolocalizacao IDCategoria \\\n", + "0 76794 POINT (-85.969310702 39.9587635263) HLTHOUT \n", + "1 66790 POINT (-121.892083025 37.433869763) HLTHOUT \n", + "2 122643 POINT (-73.5589363142 41.1049145013) HLTHOUT \n", + "3 153015 POINT (-121.384137762 38.4159992006) HLTHOUT \n", + "4 103190 POINT (-80.6666722846 27.9838255249) PREVENT \n", + "\n", + " IDMedida FIPSCidade FIPSTrato TextoCurtoPergunta \n", + "0 BPHIGH 1823278.0 NaN High Blood Pressure \n", + "1 BPHIGH 647766.0 NaN High Blood Pressure \n", + "2 BPHIGH 973000.0 NaN High Blood Pressure \n", + "3 BPHIGH 622020.0 NaN High Blood Pressure \n", + "4 CHOLSCREEN 1254000.0 NaN Cholesterol Screening \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Dicionário de tradução de colunas\n", + "colunas_traduzidas = {\n", + " \"Year\": \"Ano\",\n", + " \"StateAbbr\": \"SiglaEstado\",\n", + " \"StateDesc\": \"DescricaoEstado\",\n", + " \"CityName\": \"NomeCidade\",\n", + " \"GeographicLevel\": \"NivelGeografico\",\n", + " \"DataSource\": \"FonteDados\",\n", + " \"Category\": \"Categoria\",\n", + " \"UniqueID\": \"IDUnico\",\n", + " \"Measure\": \"Medida\",\n", + " \"Data_Value_Unit\": \"UnidadeValorDados\",\n", + " \"High_Confidence_Limit\": \"LimiteSuperiorConfianca\",\n", + " \"Data_Value_Footnote_Symbol\": \"SimboloNotaRodapeDados\",\n", + " \"Data_Value_Footnote\": \"NotaRodapeDados\",\n", + " \"PopulationCount\": \"ContagemPopulacional\",\n", + " \"Geolocation\": \"Geolocalizacao\",\n", + " \"CategoryID\": \"IDCategoria\",\n", + " \"MeasureId\": \"IDMedida\",\n", + " \"CityFIPS\": \"FIPSCidade\",\n", + " \"TractFIPS\": \"FIPSTrato\",\n", + " \"Short_Question_Text\": \"TextoCurtoPergunta\"\n", + "}\n", + "\n", + "# Aplicar a tradução das colunas\n", + "df = df1.rename(columns=colunas_traduzidas)\n", + "\n", + "# Exibir o DataFrame com os nomes das colunas traduzidos\n", + "df.head()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hffmimxjjEM5" + }, + "source": [ + "## Verificando quais anos a pesquisa se refere:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "puUXKwHPjEM5", + "outputId": "515f58a5-a226-4c5c-b0c4-c0cf866aeb85" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ano\n", + "2016 694079\n", + "2015 116024\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 259, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#valores da coluna ano\n", + "\n", + "df[\"Ano\"].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "I7bty0dCjEM5" + }, + "source": [ + "## Conferindo de forma decrescente os valores unicos referente a esta pesquisa\n", + "coluna DescricaoEstado" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "w107k9RRjEM5", + "outputId": "60ec842a-0a90-41d3-9a71-dc105fb4db02" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DescricaoEstado\n", + "California 156778\n", + "Texas 89422\n", + "New York 70133\n", + "Florida 39025\n", + "Illinois 37458\n", + "Arizona 29678\n", + "Ohio 24111\n", + "North Carolin 23305\n", + "Michigan 21672\n", + "Colorado 20549\n", + "Pennsylvania 18392\n", + "Washington 15448\n", + "Tennessee 15299\n", + "Indiana 15281\n", + "Virginia 14630\n", + "Massachusetts 14346\n", + "Oklahoma 13532\n", + "Georgia 13251\n", + "Missouri 13028\n", + "Wisconsin 11849\n", + "Louisiana 10875\n", + "Nevada 10639\n", + "Alabama 10593\n", + "Oregon 10402\n", + "Minnesota 9123\n", + "New Jersey 9013\n", + "Kansas 8913\n", + "Kentucky 7527\n", + "Utah 7431\n", + "Hawaii 6721\n", + "Connecticut 6603\n", + "New Mexico 6273\n", + "Nebraska 6216\n", + "Iowa 5889\n", + "Maryland 5655\n", + "South Carolin 5131\n", + "District of C 5065\n", + "Arkansas 3679\n", + "Rhode Island 2993\n", + "Mississippi 2229\n", + "Idaho 2070\n", + "South Dakota 1760\n", + "Alaska 1596\n", + "New Hampshire 1428\n", + "Montana 1340\n", + "North Dakota 756\n", + "Delaware 728\n", + "West Virginia 728\n", + "Maine 616\n", + "Wyoming 504\n", + "Vermont 364\n", + "United States 56\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 260, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#contagem de estados\n", + "dfestados=df[\"DescricaoEstado\"].value_counts()\n", + "dfestados" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KpIZS24HjEM5" + }, + "source": [ + "## Agrupando os 20 estados mais relevantes nesta pesquisa" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NgczLZ1KjEM6", + "outputId": "13f64287-5567-4a76-b19b-2c9fbf82e969" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DescricaoEstado\n", + "California 156778\n", + "Texas 89422\n", + "New York 70133\n", + "Florida 39025\n", + "Illinois 37458\n", + "Arizona 29678\n", + "Ohio 24111\n", + "North Carolin 23305\n", + "Michigan 21672\n", + "Colorado 20549\n", + "Pennsylvania 18392\n", + "Washington 15448\n", + "Tennessee 15299\n", + "Indiana 15281\n", + "Virginia 14630\n", + "Massachusetts 14346\n", + "Oklahoma 13532\n", + "Georgia 13251\n", + "Missouri 13028\n", + "Wisconsin 11849\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 261, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "df_estados=dfestados.head(20)\n", + "df_estados\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "zDxvIqu0jEM6" + }, + "source": [ + "## Grafico referente aos paises com mais destaque nesta pesquisa\n", + "#### usando a variavel agrupada anteriormente juntamente a biblioteca matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "YzVCP-D0jEM6", + "outputId": "afc8f137-5e27-439f-ffb8-4754c13c9b93" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "\n", + "df_estados.plot(kind=\"barh\", color=\"Skyblue\", figsize=(9,4))\n", + "plt.title(\"Estados com mais individuos nesta pesquisa\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Qcmo9loPjEM6" + }, + "source": [ + "# Conceito da criação de duas tabelas em uma linha de codigo\n", + "grafico incompleto, essa parte do codigo é apenas para o conceito" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "c9zd4j1bjEM6" + }, + "source": [ + "### Criando mais duas tabelas, casos gerais de 2015 e 2016\n", + "#### Filtrando os casos gerais de 2015 e 2016 e mantendo as colunas \"Ano\", \"Medida\" e \"DescricaoEstado\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "s7C6LQ1ljEM6" + }, + "outputs": [], + "source": [ + "\n", + "casosgerais = df.loc[df[\"Ano\"].isin([2015, 2016]), [\"Ano\", \"DescricaoEstado\", \"Medida\"]]\n", + "casosgerais2015=casosgerais.loc[casosgerais[\"Ano\"]==2015]\n", + "casosgerais2016=casosgerais.loc[casosgerais[\"Ano\"]==2016]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "91OXzM5jjEM6" + }, + "source": [ + "### Verificando as tabelas filtradas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "PCXJuXuvjEM6", + "outputId": "27b89034-3cc7-400a-ee54-7049659e716c" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoDescricaoEstadoMedida
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22015ConnecticutHigh blood pressure among adults aged >=18 Years
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8096842015District of CHigh blood pressure among adults aged >=18 Years
8097122015North CarolinTaking medicine for high blood pressure contro...
8098952015North CarolinCholesterol screening among adults aged >=18 Y...
8100212015North CarolinHigh blood pressure among adults aged >=18 Years
8100332015North CarolinHigh cholesterol among adults aged >=18 Years ...
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AnoDescricaoEstadoMedida
62016IllinoisArthritis among adults aged >=18 Years
82016AlabamaArthritis among adults aged >=18 Years
92016FloridaStroke among adults aged >=18 Years
102016IndianaObesity among adults aged >=18 Years
132016TexasMammography use among women aged 50–74 Years
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8100982016CaliforniaBinge drinking among adults aged >=18 Years
8100992016CaliforniaCurrent smoking among adults aged >=18 Years
8101002016HawaiiCoronary heart disease among adults aged >=18 ...
8101012016CaliforniaMental health not good for >=14 days among adu...
8101022016TexasAll teeth lost among adults aged >=65 Years
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" + ], + "text/plain": [ + " Ano DescricaoEstado \\\n", + "6 2016 Illinois \n", + "8 2016 Alabama \n", + "9 2016 Florida \n", + "10 2016 Indiana \n", + "13 2016 Texas \n", + "... ... ... \n", + "810098 2016 California \n", + "810099 2016 California \n", + "810100 2016 Hawaii \n", + "810101 2016 California \n", + "810102 2016 Texas \n", + "\n", + " Medida \n", + "6 Arthritis among adults aged >=18 Years \n", + "8 Arthritis among adults aged >=18 Years \n", + "9 Stroke among adults aged >=18 Years \n", + "10 Obesity among adults aged >=18 Years \n", + "13 Mammography use among women aged 50–74 Years \n", + "... ... \n", + "810098 Binge drinking among adults aged >=18 Years \n", + "810099 Current smoking among adults aged >=18 Years \n", + "810100 Coronary heart disease among adults aged >=18 ... \n", + "810101 Mental health not good for >=14 days among adu... \n", + "810102 All teeth lost among adults aged >=65 Years \n", + "\n", + "[694079 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(casosgerais2016)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "zsZIkE79jEM7", + "outputId": "b66947ac-f1b3-4230-a1a1-28270f3fd5c4" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoDescricaoEstadoMedida
02015IndianaHigh blood pressure among adults aged >=18 Years
12015CaliforniaHigh blood pressure among adults aged >=18 Years
22015ConnecticutHigh blood pressure among adults aged >=18 Years
32015CaliforniaHigh blood pressure among adults aged >=18 Years
42015FloridaCholesterol screening among adults aged >=18 Y...
............
8100982016CaliforniaBinge drinking among adults aged >=18 Years
8100992016CaliforniaCurrent smoking among adults aged >=18 Years
8101002016HawaiiCoronary heart disease among adults aged >=18 ...
8101012016CaliforniaMental health not good for >=14 days among adu...
8101022016TexasAll teeth lost among adults aged >=65 Years
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810103 rows × 3 columns

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" + ], + "text/plain": [ + " Ano DescricaoEstado \\\n", + "0 2015 Indiana \n", + "1 2015 California \n", + "2 2015 Connecticut \n", + "3 2015 California \n", + "4 2015 Florida \n", + "... ... ... \n", + "810098 2016 California \n", + "810099 2016 California \n", + "810100 2016 Hawaii \n", + "810101 2016 California \n", + "810102 2016 Texas \n", + "\n", + " Medida \n", + "0 High blood pressure among adults aged >=18 Years \n", + "1 High blood pressure among adults aged >=18 Years \n", + "2 High blood pressure among adults aged >=18 Years \n", + "3 High blood pressure among adults aged >=18 Years \n", + "4 Cholesterol screening among adults aged >=18 Y... \n", + "... ... \n", + "810098 Binge drinking among adults aged >=18 Years \n", + "810099 Current smoking among adults aged >=18 Years \n", + "810100 Coronary heart disease among adults aged >=18 ... \n", + "810101 Mental health not good for >=14 days among adu... \n", + "810102 All teeth lost among adults aged >=65 Years \n", + "\n", + "[810103 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(casosgerais)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7QhRtUMSjEM7" + }, + "source": [ + "## Criando novas variaveis\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "8qVzKqLijEM7" + }, + "outputs": [], + "source": [ + "CASOSGERAIS2015=casosgerais2015\n", + "CASOSGERAIS2016=casosgerais2016\n", + "CASOSGERAIS=casosgerais\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ga1MQrdujEM7" + }, + "source": [ + "## CONCEITO de grafico lado a lado\n", + "Alternando para 2,1 deixa o grafico em cima e embaixo" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "v4wOK5rFjEM7", + "outputId": "27f65b98-2a62-4b10-f006-c99180087204" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#fazendo um grafico lado a lado\n", + "fig, (ax1, ax2)=plt.subplots(1,2, figsize=(14,5))\n", + "CASOSGERAIS2015.plot(kind=\"hist\", color=\"Skyblue\",ax=ax1)\n", + "ax1.set_title(\"20 Estados com mais casos gerais em 2015\")\n", + "ax1.set_xlabel(\"Ano\")\n", + "\n", + "\n", + "CASOSGERAIS2016.plot(kind=\"hist\", color=\"purple\",ax=ax2)\n", + "ax2.set_title(\"20 Estados com mais casos gerais em 2016\")\n", + "ax2.set_xlabel(\"Ano\")\n", + "\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sTyCZfOgjEM7" + }, + "source": [ + "## Verificando a quantidade de casos por ano nos Estados Americanos" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "et__adW5jEM7", + "outputId": "b187ad1f-50d3-4de3-bc5b-6e14ae8b4b91" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ano\n", + "2016 694079\n", + "2015 116024\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 269, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#contagem de valores na variavel estadoscasos\n", + "\n", + "ESTADOSCASOS=df[\"Ano\"].value_counts()\n", + "ESTADOSCASOS" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Fw87MCHEjEM7" + }, + "source": [ + "## comparando casos de 2015 e 2016 através de um grafico" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "EFhLYGbJjEM7", + "outputId": "b56a46af-0634-4392-ef41-e64000479844" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "#COMPARANDO OS CASOS DE 2015 E 2016\n", + "ESTADOSCASOS.plot(kind=\"barh\", color=\"Skyblue\", figsize=(9,4))\n", + "plt.title(\"Comparação de casos entre os anos de 2015 e 2016\")\n", + "plt.tight_layout()\n", + "plt.xticks(rotation=360)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "EPpEvUNKjEM7" + }, + "source": [ + "## comparar as tendências temporais da taxa de pressão alta e triagem de colesterol ao longo dos anos.\n", + "#### (\"High blood pressure among adults aged >=18 Years \",\"Cholesterol screening among adults aged >=18 Years ) na pesquisa" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pVx1288qjEM8" + }, + "source": [ + "# Verificando quais são os motivos dos casos e selecionando os 2 primeiros para uma analise brevia\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "yduKGUmdjEM8", + "outputId": "f6baa8be-bd7b-49e5-c257-f59d9eec0715" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Medida\n", + "High blood pressure among adults aged >=18 Years 29006\n", + "Cholesterol screening among adults aged >=18 Years 29006\n", + "Arthritis among adults aged >=18 Years 29006\n", + "Stroke among adults aged >=18 Years 29006\n", + "Obesity among adults aged >=18 Years 29006\n", + "Diagnosed diabetes among adults aged >=18 Years 29006\n", + "Cancer (excluding skin cancer) among adults aged >=18 Years 29006\n", + "Binge drinking among adults aged >=18 Years 29006\n", + "Mental health not good for >=14 days among adults aged >=18 Years 29006\n", + "Chronic obstructive pulmonary disease among adults aged >=18 Years 29006\n", + "Coronary heart disease among adults aged >=18 Years 29006\n", + "Current smoking among adults aged >=18 Years 29006\n", + "No leisure-time physical activity among adults aged >=18 Years 29006\n", + "Physical health not good for >=14 days among adults aged >=18 Years 29006\n", + "Current asthma among adults aged >=18 Years 29006\n", + "Sleeping less than 7 hours among adults aged >=18 Years 29006\n", + "Chronic kidney disease among adults aged >=18 Years 29006\n", + "Visits to dentist or dental clinic among adults aged >=18 Years 29006\n", + "High cholesterol among adults aged >=18 Years who have been screened in the past 5 Years 29006\n", + "Taking medicine for high blood pressure control among adults aged >=18 Years with high blood pressure 29006\n", + "Visits to doctor for routine checkup within the past Year among adults aged >=18 Years 29006\n", + "Current lack of health insurance among adults aged 18–64 Years 28973\n", + "Papanicolaou smear use among adult women aged 21–65 Years 28912\n", + "Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 Years 28847\n", + "Mammography use among women aged 50–74 Years 28727\n", + "All teeth lost among adults aged >=65 Years 28601\n", + "Older adult men aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening 28464\n", + "Older adult women aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years 28453\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 271, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "contagem=df[\"Medida\"].value_counts()\n", + "contagem.head(50)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iF-c-RJAjEM8" + }, + "source": [ + "Essa parte do codigo é responsavel por filtrar na coluna medida os motivos selecionados" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Ofn1zb23jEM8" + }, + "outputs": [], + "source": [ + "\n", + "\n", + "dffiltro=df[df[\"Medida\"].isin([\"High blood pressure among adults aged >=18 Years \",\"Cholesterol screening among adults aged >=18 Years \"])]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DA129h_ljEM8" + }, + "source": [ + "## Criando uma nova planilha e criando uma nova colunaa contendo os valores para a pesquisa\n", + "\n", + "Porém como da para ver, os dados estão vazios" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "P9MOkxopjEM8", + "outputId": "4fddff47-698f-47d0-b2ff-d165af5c2095" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoMedidaData_Value
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Ano, Medida, Data_Value]\n", + "Index: []" + ] + }, + "execution_count": 273, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "df_grouped = dffiltro.groupby(['Ano', 'Medida'])['Data_Value'].mean().reset_index()\n", + "df_grouped" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GkYDILpXjEM8" + }, + "source": [ + "## Analisando os motivos\n", + "como essa linha de codigo conseguimos ver que existem espaços vazios, e por isso está dando como vazio" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "V1ctCzS_jEM8", + "outputId": "543d2a1d-3b80-4c16-8904-c78cba5d65ba" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['High blood pressure among adults aged >=18 Years'\n", + " 'Cholesterol screening among adults aged >=18 Years'\n", + " 'Arthritis among adults aged >=18 Years'\n", + " 'Stroke among adults aged >=18 Years'\n", + " 'Obesity among adults aged >=18 Years'\n", + " 'Mammography use among women aged 50–74 Years'\n", + " 'All teeth lost among adults aged >=65 Years'\n", + " 'Diagnosed diabetes among adults aged >=18 Years'\n", + " 'Binge drinking among adults aged >=18 Years'\n", + " 'Cancer (excluding skin cancer) among adults aged >=18 Years'\n", + " 'Mental health not good for >=14 days among adults aged >=18 Years'\n", + " 'Chronic obstructive pulmonary disease among adults aged >=18 Years'\n", + " 'Current smoking among adults aged >=18 Years'\n", + " 'Coronary heart disease among adults aged >=18 Years'\n", + " 'Papanicolaou smear use among adult women aged 21–65 Years'\n", + " 'Current asthma among adults aged >=18 Years'\n", + " 'Sleeping less than 7 hours among adults aged >=18 Years'\n", + " 'Visits to dentist or dental clinic among adults aged >=18 Years'\n", + " 'Chronic kidney disease among adults aged >=18 Years'\n", + " 'Current lack of health insurance among adults aged 18–64 Years'\n", + " 'Taking medicine for high blood pressure control among adults aged >=18 Years with high blood pressure'\n", + " 'High cholesterol among adults aged >=18 Years who have been screened in the past 5 Years'\n", + " 'Visits to doctor for routine checkup within the past Year among adults aged >=18 Years'\n", + " 'Older adult women aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years'\n", + " 'Physical health not good for >=14 days among adults aged >=18 Years'\n", + " 'Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 Years'\n", + " 'Older adult men aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening'\n", + " 'No leisure-time physical activity among adults aged >=18 Years']\n" + ] + } + ], + "source": [ + "#escrever o nome dos valores unicos de df\n", + "#se reapara que tem valores em branco\n", + "print(df[\"Medida\"].unique())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ng5N57kwjEM8" + }, + "source": [ + "# Tipo simples de tratamento de dados\n", + "## O Metodo str.strip remove os espaços vazios de uma string\n", + "O Metodo isin da um true para cada item no filtro, assim realizando a filtragem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "KMIHJyoGjEM9" + }, + "outputs": [], + "source": [ + "#o metodo strip reemove espaços em branco\n", + "#e o isin da um true para cada linha que conter o especificado\n", + "#tipo simples de tratamento de dados\n", + "dffiltro = df[df[\"Medida\"].str.strip().isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "])]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_UWOoVAijEM_" + }, + "source": [ + "## Verificando os dados filtrados para 2015" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0mIi0AG0jEM_", + "outputId": "6301e289-dde2-4060-8809-0878855201d6" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Medida\n", + "High blood pressure among adults aged >=18 Years 29006\n", + "Cholesterol screening among adults aged >=18 Years 29006\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 276, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "dffiltro[dffiltro[\"Ano\"] == 2015][\"Medida\"].value_counts()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HON7R8w8jEM_" + }, + "source": [ + "## Verificando os dados filtrados para 2016\n", + "como da para ver, não temos casos em 2016" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "DxFUa4AyjEM_", + "outputId": "b536542b-0d76-4cae-e7f9-f741e97a80d0" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: count, dtype: int64)" + ] + }, + "execution_count": 277, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "dffiltro[dffiltro[\"Ano\"] == 2016][\"Medida\"].value_counts()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9DrDPlptjENA", + "outputId": "e63db6b2-bb41-4296-cece-2a4ce0a25828" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ano\n", + "2015 58012\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "print(dffiltro[\"Ano\"].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2TzRlOWhjENA", + "outputId": "a912cd6c-8fa3-4d10-bdfd-3b23ec7411f2" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [Ano, SiglaEstado, DescricaoEstado, NomeCidade, NivelGeografico, FonteDados, Categoria, IDUnico, Medida, UnidadeValorDados, DataValueTypeID, Data_Value_Type, Data_Value, Low_Confidence_Limit, LimiteSuperiorConfianca, SimboloNotaRodapeDados, NotaRodapeDados, ContagemPopulacional, Geolocalizacao, IDCategoria, IDMedida, FIPSCidade, FIPSTrato, TextoCurtoPergunta]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]\n" + ] + } + ], + "source": [ + "print(df[(df[\"Ano\"] == 2016) & (df[\"Medida\"].isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "]))])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Bwu2sXY_jENA" + }, + "source": [ + "verificando os 50 primeiros para vermos se encontramos um caso de 2015 (basta alternar o numero 50 para um maior para vizualizar mais dados)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "LElMGYd0jENA", + "outputId": "fc438d86-7191-436e-d5b8-724f467f0740" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoSiglaEstadoDescricaoEstadoNomeCidadeNivelGeograficoFonteDadosCategoriaIDUnicoMedidaUnidadeValorDados...LimiteSuperiorConfiancaSimboloNotaRodapeDadosNotaRodapeDadosContagemPopulacionalGeolocalizacaoIDCategoriaIDMedidaFIPSCidadeFIPSTratoTextoCurtoPergunta
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Ano, SiglaEstado, DescricaoEstado, NomeCidade, NivelGeografico, FonteDados, Categoria, IDUnico, Medida, UnidadeValorDados, DataValueTypeID, Data_Value_Type, Data_Value, Low_Confidence_Limit, LimiteSuperiorConfianca, SimboloNotaRodapeDados, NotaRodapeDados, ContagemPopulacional, Geolocalizacao, IDCategoria, IDMedida, FIPSCidade, FIPSTrato, TextoCurtoPergunta]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dffiltro_2016 = df.loc[(df[\"Ano\"] == 2016) & (df[\"Medida\"].isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "]))]\n", + "display(dffiltro.head(0))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t2gjcQrvjENA" + }, + "source": [ + "## Recriando a tabela anterior após ao tratamento de dados e agora com valore" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "iRFr6_o9jENA", + "outputId": "d185e312-efd6-4c0c-dcef-ac0a7e1aa460" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoMedidaData_Value
02015Cholesterol screening among adults aged >=18 Y...72.657522
12015High blood pressure among adults aged >=18 Years30.491621
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" + ], + "text/plain": [ + " Ano Medida Data_Value\n", + "0 2015 Cholesterol screening among adults aged >=18 Y... 72.657522\n", + "1 2015 High blood pressure among adults aged >=18 Years 30.491621" + ] + }, + "execution_count": 281, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#recriando a tabela anterior após ao tratamento de dados\n", + "DF_grouped=dffiltro.groupby([\"Ano\", \"Medida\"])[\"Data_Value\"].mean().reset_index()\n", + "DF_grouped" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DZM4vMcBjENA" + }, + "source": [ + "Agora com essa tabela é possivel criar uma grafico, em cima, usando o seaborn e omatplot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "b9pWtWKHjENA", + "outputId": "523d8c98-5f22-41f3-d5cb-4166a6b2d7e3" + }, + "outputs": [ + { + "data": { + "image/png": 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02015INIndianaFishersCityBRFSSHealth Outcomes1823278High blood pressure among adults aged >=18 Years%...24.7NaNNaN76794POINT (-85.969310702 39.9587635263)HLTHOUTBPHIGH1823278.0NaNHigh Blood Pressure
12015CACaliforniaMilpitasCityBRFSSHealth Outcomes0647766High blood pressure among adults aged >=18 Years%...22.5NaNNaN66790POINT (-121.892083025 37.433869763)HLTHOUTBPHIGH647766.0NaNHigh Blood Pressure
22015CTConnecticutStamfordCityBRFSSHealth Outcomes0973000High blood pressure among adults aged >=18 Years%...26.2NaNNaN122643POINT (-73.5589363142 41.1049145013)HLTHOUTBPHIGH973000.0NaNHigh Blood Pressure
32015CACaliforniaElk GroveCityBRFSSHealth Outcomes0622020High blood pressure among adults aged >=18 Years%...27.8NaNNaN153015POINT (-121.384137762 38.4159992006)HLTHOUTBPHIGH622020.0NaNHigh Blood Pressure
42015FLFloridaPalm BayCityBRFSSPrevention1254000Cholesterol screening among adults aged >=18 Y...%...78.4NaNNaN103190POINT (-80.6666722846 27.9838255249)PREVENTCHOLSCREEN1254000.0NaNCholesterol Screening
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" + ], + "text/plain": [ + " Year StateAbbr StateDesc CityName GeographicLevel DataSource \\\n", + "0 2015 IN Indiana Fishers City BRFSS \n", + "1 2015 CA California Milpitas City BRFSS \n", + "2 2015 CT Connecticut Stamford City BRFSS \n", + "3 2015 CA California Elk Grove City BRFSS \n", + "4 2015 FL Florida Palm Bay City BRFSS \n", + "\n", + " Category UniqueID \\\n", + "0 Health Outcomes 1823278 \n", + "1 Health Outcomes 0647766 \n", + "2 Health Outcomes 0973000 \n", + "3 Health Outcomes 0622020 \n", + "4 Prevention 1254000 \n", + "\n", + " Measure Data_Value_Unit ... \\\n", + "0 High blood pressure among adults aged >=18 Years % ... \n", + "1 High blood pressure among adults aged >=18 Years % ... \n", + "2 High blood pressure among adults aged >=18 Years % ... \n", + "3 High blood pressure among adults aged >=18 Years % ... \n", + "4 Cholesterol screening among adults aged >=18 Y... % ... \n", + "\n", + " High_Confidence_Limit Data_Value_Footnote_Symbol Data_Value_Footnote \\\n", + "0 24.7 NaN NaN \n", + "1 22.5 NaN NaN \n", + "2 26.2 NaN NaN \n", + "3 27.8 NaN NaN \n", + "4 78.4 NaN NaN \n", + "\n", + " PopulationCount Geolocation CategoryID \\\n", + "0 76794 POINT (-85.969310702 39.9587635263) HLTHOUT \n", + "1 66790 POINT (-121.892083025 37.433869763) HLTHOUT \n", + "2 122643 POINT (-73.5589363142 41.1049145013) HLTHOUT \n", + "3 153015 POINT (-121.384137762 38.4159992006) HLTHOUT \n", + "4 103190 POINT (-80.6666722846 27.9838255249) PREVENT \n", + "\n", + " MeasureId CityFIPS TractFIPS Short_Question_Text \n", + "0 BPHIGH 1823278.0 NaN High Blood Pressure \n", + "1 BPHIGH 647766.0 NaN High Blood Pressure \n", + "2 BPHIGH 973000.0 NaN High Blood Pressure \n", + "3 BPHIGH 622020.0 NaN High Blood Pressure \n", + "4 CHOLSCREEN 1254000.0 NaN Cholesterol Screening \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "df1=pd.read_csv(\"500_Cities__Local_Data_for_Better_Health__2018_release.csv\")\n", + "df1.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "bMBlGInWjEM5" + }, + "source": [ + "## Renomeando tabela\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "938DjuHejEM5", + "outputId": "11f6acf6-5e1c-44e4-b94e-6b41803f9207" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoSiglaEstadoDescricaoEstadoNomeCidadeNivelGeograficoFonteDadosCategoriaIDUnicoMedidaUnidadeValorDados...LimiteSuperiorConfiancaSimboloNotaRodapeDadosNotaRodapeDadosContagemPopulacionalGeolocalizacaoIDCategoriaIDMedidaFIPSCidadeFIPSTratoTextoCurtoPergunta
02015INIndianaFishersCityBRFSSHealth Outcomes1823278High blood pressure among adults aged >=18 Years%...24.7NaNNaN76794POINT (-85.969310702 39.9587635263)HLTHOUTBPHIGH1823278.0NaNHigh Blood Pressure
12015CACaliforniaMilpitasCityBRFSSHealth Outcomes0647766High blood pressure among adults aged >=18 Years%...22.5NaNNaN66790POINT (-121.892083025 37.433869763)HLTHOUTBPHIGH647766.0NaNHigh Blood Pressure
22015CTConnecticutStamfordCityBRFSSHealth Outcomes0973000High blood pressure among adults aged >=18 Years%...26.2NaNNaN122643POINT (-73.5589363142 41.1049145013)HLTHOUTBPHIGH973000.0NaNHigh Blood Pressure
32015CACaliforniaElk GroveCityBRFSSHealth Outcomes0622020High blood pressure among adults aged >=18 Years%...27.8NaNNaN153015POINT (-121.384137762 38.4159992006)HLTHOUTBPHIGH622020.0NaNHigh Blood Pressure
42015FLFloridaPalm BayCityBRFSSPrevention1254000Cholesterol screening among adults aged >=18 Y...%...78.4NaNNaN103190POINT (-80.6666722846 27.9838255249)PREVENTCHOLSCREEN1254000.0NaNCholesterol Screening
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5 rows × 24 columns

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" + ], + "text/plain": [ + " Ano SiglaEstado DescricaoEstado NomeCidade NivelGeografico FonteDados \\\n", + "0 2015 IN Indiana Fishers City BRFSS \n", + "1 2015 CA California Milpitas City BRFSS \n", + "2 2015 CT Connecticut Stamford City BRFSS \n", + "3 2015 CA California Elk Grove City BRFSS \n", + "4 2015 FL Florida Palm Bay City BRFSS \n", + "\n", + " Categoria IDUnico \\\n", + "0 Health Outcomes 1823278 \n", + "1 Health Outcomes 0647766 \n", + "2 Health Outcomes 0973000 \n", + "3 Health Outcomes 0622020 \n", + "4 Prevention 1254000 \n", + "\n", + " Medida UnidadeValorDados ... \\\n", + "0 High blood pressure among adults aged >=18 Years % ... \n", + "1 High blood pressure among adults aged >=18 Years % ... \n", + "2 High blood pressure among adults aged >=18 Years % ... \n", + "3 High blood pressure among adults aged >=18 Years % ... \n", + "4 Cholesterol screening among adults aged >=18 Y... % ... \n", + "\n", + " LimiteSuperiorConfianca SimboloNotaRodapeDados NotaRodapeDados \\\n", + "0 24.7 NaN NaN \n", + "1 22.5 NaN NaN \n", + "2 26.2 NaN NaN \n", + "3 27.8 NaN NaN \n", + "4 78.4 NaN NaN \n", + "\n", + " ContagemPopulacional Geolocalizacao IDCategoria \\\n", + "0 76794 POINT (-85.969310702 39.9587635263) HLTHOUT \n", + "1 66790 POINT (-121.892083025 37.433869763) HLTHOUT \n", + "2 122643 POINT (-73.5589363142 41.1049145013) HLTHOUT \n", + "3 153015 POINT (-121.384137762 38.4159992006) HLTHOUT \n", + "4 103190 POINT (-80.6666722846 27.9838255249) PREVENT \n", + "\n", + " IDMedida FIPSCidade FIPSTrato TextoCurtoPergunta \n", + "0 BPHIGH 1823278.0 NaN High Blood Pressure \n", + "1 BPHIGH 647766.0 NaN High Blood Pressure \n", + "2 BPHIGH 973000.0 NaN High Blood Pressure \n", + "3 BPHIGH 622020.0 NaN High Blood Pressure \n", + "4 CHOLSCREEN 1254000.0 NaN Cholesterol Screening \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Dicionário de tradução de colunas\n", + "colunas_traduzidas = {\n", + " \"Year\": \"Ano\",\n", + " \"StateAbbr\": \"SiglaEstado\",\n", + " \"StateDesc\": \"DescricaoEstado\",\n", + " \"CityName\": \"NomeCidade\",\n", + " \"GeographicLevel\": \"NivelGeografico\",\n", + " \"DataSource\": \"FonteDados\",\n", + " \"Category\": \"Categoria\",\n", + " \"UniqueID\": \"IDUnico\",\n", + " \"Measure\": \"Medida\",\n", + " \"Data_Value_Unit\": \"UnidadeValorDados\",\n", + " \"High_Confidence_Limit\": \"LimiteSuperiorConfianca\",\n", + " \"Data_Value_Footnote_Symbol\": \"SimboloNotaRodapeDados\",\n", + " \"Data_Value_Footnote\": \"NotaRodapeDados\",\n", + " \"PopulationCount\": \"ContagemPopulacional\",\n", + " \"Geolocation\": \"Geolocalizacao\",\n", + " \"CategoryID\": \"IDCategoria\",\n", + " \"MeasureId\": \"IDMedida\",\n", + " \"CityFIPS\": \"FIPSCidade\",\n", + " \"TractFIPS\": \"FIPSTrato\",\n", + " \"Short_Question_Text\": \"TextoCurtoPergunta\"\n", + "}\n", + "\n", + "# Aplicar a tradução das colunas\n", + "df = df1.rename(columns=colunas_traduzidas)\n", + "\n", + "# Exibir o DataFrame com os nomes das colunas traduzidos\n", + "df.head()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "hffmimxjjEM5" + }, + "source": [ + "## Verificando quais anos a pesquisa se refere:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "puUXKwHPjEM5", + "outputId": "515f58a5-a226-4c5c-b0c4-c0cf866aeb85" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ano\n", + "2016 694079\n", + "2015 116024\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 259, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#valores da coluna ano\n", + "\n", + "df[\"Ano\"].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "I7bty0dCjEM5" + }, + "source": [ + "## Conferindo de forma decrescente os valores unicos referente a esta pesquisa\n", + "coluna DescricaoEstado" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "w107k9RRjEM5", + "outputId": "60ec842a-0a90-41d3-9a71-dc105fb4db02" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DescricaoEstado\n", + "California 156778\n", + "Texas 89422\n", + "New York 70133\n", + "Florida 39025\n", + "Illinois 37458\n", + "Arizona 29678\n", + "Ohio 24111\n", + "North Carolin 23305\n", + "Michigan 21672\n", + "Colorado 20549\n", + "Pennsylvania 18392\n", + "Washington 15448\n", + "Tennessee 15299\n", + "Indiana 15281\n", + "Virginia 14630\n", + "Massachusetts 14346\n", + "Oklahoma 13532\n", + "Georgia 13251\n", + "Missouri 13028\n", + "Wisconsin 11849\n", + "Louisiana 10875\n", + "Nevada 10639\n", + "Alabama 10593\n", + "Oregon 10402\n", + "Minnesota 9123\n", + "New Jersey 9013\n", + "Kansas 8913\n", + "Kentucky 7527\n", + "Utah 7431\n", + "Hawaii 6721\n", + "Connecticut 6603\n", + "New Mexico 6273\n", + "Nebraska 6216\n", + "Iowa 5889\n", + "Maryland 5655\n", + "South Carolin 5131\n", + "District of C 5065\n", + "Arkansas 3679\n", + "Rhode Island 2993\n", + "Mississippi 2229\n", + "Idaho 2070\n", + "South Dakota 1760\n", + "Alaska 1596\n", + "New Hampshire 1428\n", + "Montana 1340\n", + "North Dakota 756\n", + "Delaware 728\n", + "West Virginia 728\n", + "Maine 616\n", + "Wyoming 504\n", + "Vermont 364\n", + "United States 56\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 260, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#contagem de estados\n", + "dfestados=df[\"DescricaoEstado\"].value_counts()\n", + "dfestados" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "KpIZS24HjEM5" + }, + "source": [ + "## Agrupando os 20 estados mais relevantes nesta pesquisa" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "NgczLZ1KjEM6", + "outputId": "13f64287-5567-4a76-b19b-2c9fbf82e969" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DescricaoEstado\n", + "California 156778\n", + "Texas 89422\n", + "New York 70133\n", + "Florida 39025\n", + "Illinois 37458\n", + "Arizona 29678\n", + "Ohio 24111\n", + "North Carolin 23305\n", + "Michigan 21672\n", + "Colorado 20549\n", + "Pennsylvania 18392\n", + "Washington 15448\n", + "Tennessee 15299\n", + "Indiana 15281\n", + "Virginia 14630\n", + "Massachusetts 14346\n", + "Oklahoma 13532\n", + "Georgia 13251\n", + "Missouri 13028\n", + "Wisconsin 11849\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 261, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "df_estados=dfestados.head(20)\n", + "df_estados\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "zDxvIqu0jEM6" + }, + "source": [ + "## Grafico referente aos paises com mais destaque nesta pesquisa\n", + "#### usando a variavel agrupada anteriormente juntamente a biblioteca matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "YzVCP-D0jEM6", + "outputId": "afc8f137-5e27-439f-ffb8-4754c13c9b93" + }, + "outputs": [ + { + "data": { + "image/png": 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Nu3btQq9evZCUlITu3btj+PDhLz33/v378PDwQHp6OiIiIvDzzz/jwIED4nNBtVnq/nXEXV3VfbmxoqJijcqFFxZJkUe7z7d59OhR9OrVCyoqKli1ahX27NmDAwcOYMiQIS/tu3Pnzrhy5Qq+/fZbtGrVCt988w1at26Nb775ploxV/caqnsPqmPQoEF48OCBOEK9detW2NrawtnZWS7tV/Y9qGhxoeoaMGAArl69iuXLl8PIyAiLFi2Cg4ODzCh7VV52X0tLSyGRSLB3795yI/kHDhzA2rVrxXOio6Nx5swZTJ8+HY8fP0ZQUBAcHBzw999/vzSOzz77DPPmzcOAAQOwdetW7N+/HwcOHICenp7c/v2XtRMSElLhtRw4cED8P2Tk+f19lc9dVVUVR44cwcGDB/HRRx/hzJkzGDhwILp16yae//333yMwMBAWFhbYsGGD+Fl16dKlTv/bSfSm4sIrREQ1pKysDH9/f/j7+6O0tBTjxo3D2rVrMXPmzApHWMokJycjNzcXCQkJ6Ny5s1h+7do1mXqmpqYAno0udOnSRSwvLi7GtWvXZH6Mm5qa4syZMygtLZUZzSub+lnWVnXiroiFhQX27duHu3fvVjqaZ2pqitLSUmRmZoojiADwzz//4P79+zIxNETbt2+HiooK9u3bJ/OKhJiYmGqdX7Zi5YgRI1BQUIDOnTsjLCwMo0ePrpN4TU1Nce7cOQiCIPNdu3jxYrXO79y5MwwNDbFlyxZ07NgRhw4dwowZM17aJ4AKp/W92G/ZKNn9+/dlyl8c0S1rs6K4L1y4gCZNmkBdXV0sMzQ0xLhx4zBu3Djk5OSgdevWmDdvnrggzauwsLCAIAho2bIlrK2tX1rf0dERjo6O+PLLL/H777/D3d0da9aswdy5cwFUnvD8+OOPGD58OKKjo8WyJ0+elLtXVanoM7h06ZK4SE3ZaL+SkhK8vb1f2l5V39+6+Nwro6CggK5du6Jr165YvHgx5s+fjxkzZiApKQne3t748ccfYW5ujoSEBJn7W9FUciLiSB4RUY3k5ubK7CsoKMDJyQkAxOlvZT9MX/yxUzaa8PyoTFFREVatWiVTz83NDfr6+lizZg2KiorE8tjY2HJt9ujRA3fu3JF5xqqkpATLly+HhoYGPDw8qh13Rfr27QtBEBAeHl7uWNl19OjRAwCwZMkSmeOLFy8GgCpXp2wIFBUVIZFIZEYcsrKysHPnzpee++J91dDQgKWlZZX39FX16NEDt27dknnFw6NHj7Bu3bpqna+goIB+/frh559/xqZNm1BSUlLlVE3gWYLl4uKCjRs3ykyNO3DgAM6fPy9T19TUFIqKijhy5IhM+Yvf8+fbfP57fe7cOezfv1/8Xj19+rTcdLymTZvCyMhIbvf5gw8+gKKiIsLDw8uNmgqCIH7O+fn5KCkpkTnu6OgIBQUFmVjU1dUrTNwUFRXLtb98+fIajXLu3LlTfKYOAI4fP47U1FQx2W3atCk8PT2xdu1a3L59u9z5//77r/j3y76/dfG5V+Tu3bvlyspWyyyLpaL/fqampuLYsWMvbZ/oXcSRPCKi5/z666/iKNjzOnToAHNzc4wePRp3795Fly5d0KJFC1y/fh3Lly+Hi4uLOIrl4uICRUVFLFy4EHl5eZBKpejSpQs6dOgAXV1dDB8+HEFBQZBIJNi0aVO5H31KSkqYO3cuxo4diy5dumDgwIG4du0aYmJiyj2T9/HHH2Pt2rUIDAzEqVOnYGZmhh9//BEpKSlYsmQJNDU1AaBacVfEy8sLH330EZYtW4bMzEz4+vqitLQUR48ehZeXFyZMmABnZ2cMHz4c69atE6ekHj9+HBs3bkRAQIDMM40NkZ+fHxYvXgxfX18MGTIEOTk5WLlyJSwtLV/6fJ29vT08PT3Rpk0bNG7cGCdPnhSX+q8rY8aMwYoVKzBs2DCcOnUKhoaG2LRpU7WW3y8zcOBALF++HLNnz4ajo2OV34EykZGR8PPzQ8eOHTFy5EjcvXsXy5cvh4ODAwoKCsR62tra6N+/P5YvXw6JRAILCwv88ssv4nNgz1u0aBG6d++O9u3bY9SoUeIrFLS1tREWFgbg2QJFLVq0QL9+/eDs7AwNDQ0cPHgQJ06ckBkRexUWFhaYO3cuQkNDkZWVhYCAAGhqauLatWvYsWMHPv74Y4SEhODQoUOYMGEC+vfvD2tra5SUlGDTpk1QVFRE3759xfbatGmDgwcPYvHixTAyMkLLli3x3nvvoWfPnti0aRO0tbVhb2+PY8eO4eDBg+IrWqrD0tISHTt2xKefforCwkIsWbIEenp6+OKLL8Q6K1euRMeOHeHo6IgxY8bA3Nwc//zzD44dO4a///4b6enpAKr3/a2Lz/1FEREROHLkCPz8/GBqaoqcnBysWrUKLVq0QMeOHQEAPXv2REJCAvr06QM/Pz9cu3YNa9asgb29vUwcRPT/ve7lPImIGqKqXqGA55b//vHHH4X//e9/QtOmTQVlZWXBxMREGDt2rHD79m2Z9tavXy+Ym5sLioqKMsuKp6SkCO+//76gqqoqGBkZCV988YW4rP2LS4+vWrVKaNmypSCVSgU3NzfhyJEjgoeHR7nl///55x9hxIgRQpMmTQRlZWXB0dFRZrnymsRdkZKSEmHRokWCra2toKysLOjr6wvdu3cXTp06JdYpLi4WwsPDhZYtWwpKSkqCsbGxEBoaKrOEuyA8ewVBRUu2Ayi3RH7Z0uuLFi2qMr6yz+7EiRMy5WXLtL+4LPvw4cMFdXV1mbINGzYIVlZWglQqFWxtbYWYmJhyy7yXxf/80vhz584V2rVrJ+jo6AiqqqqCra2tMG/ePKGoqKjKmCt7hYKDg0O5ui++BkEQBOH69etCr169BDU1NaFJkybCxIkThb179770FQplSktLBWNjYwGAMHfu3HLHK1r2XhAEYfv27YKdnZ0glUoFe3t7ISEhocI+/v33X6Fv376CmpqaoKurK4wdO1Y4d+5chW0ePHhQcHd3F1RVVQUtLS3B399fOH/+vHi8sLBQmDJliuDs7CxoamoK6urqgrOzs7Bq1apycb+osu9A2Xfm2rVr5a6vY8eOgrq6uqCuri7Y2toK48ePFy5evCgIgiBcvXpVGDlypGBhYSGoqKgIjRs3Fry8vISDBw/KtHPhwgWhc+fOgqqqqgBA/M7cu3dP/LeqoaEh+Pj4CBcuXCj3varI8/8eoqOjBWNjY0EqlQqdOnUS0tPTy9W/cuWKMGzYMMHAwEBQUlISmjdvLvTs2VP48ccfxTrV/f7K+3N/8d9WYmKi0Lt3b8HIyEhQVlYWjIyMhMGDBwuXLl0S65SWlgrz588XTE1NBalUKri6ugq//PJLpd9xonedRBDk+DQ3EREREcldVlYWWrZsiUWLFiEkJKS+w0FgYCCSk5PFVT2JqGHhM3lERERERERvESZ5REREREREbxEmeURERERERG8RPpNHRERERET0FuFIHhERERER0VuESR4REREREdFbhC9DpxorLS3FrVu3oKmpCYlEUt/hEBERERG9NQRBwIMHD2BkZAQFhdqNyTHJoxq7desWjI2N6zsMIiIiIqK31o0bN9CiRYtancskj2pMU1MTwLMvnpaWVj1HQ0RERET09sjPz4exsbH4m7s2mORRjZVN0dTS0mKSR0RERERUB17lsSguvFJDycnJkEgkuH//fn2H8lJvUqxERERERCQf7/RI3po1azBlyhTcu3cPjRo9uxUFBQXQ1dWFu7s7kpOTxbrJycnw8vLChQsXcPv2bWhra9dT1NXXoUOHOo11cXouVDSK6qTt122aa5P6DoGIiIiISC7e6ZE8Ly8vFBQU4OTJk2LZ0aNHYWBggNTUVDx58kQsT0pKgomJCWxsbGBgYPBGrCqprKz8xsRKRERERETy8U4neTY2NjA0NCw3Yte7d2+0bNkSf/zxh0y5l5dXuSmQ169fh7+/P3R1daGurg4HBwfs2bNHPO+vv/5Cz549oaWlBU1NTXTq1AlXrlwB8OxVBBEREWjRogWkUilcXFywd+9e8dysrCxIJBIkJCTAy8sLampqcHZ2xrFjx8Q6VfX/YqyxsbHQ0dHBvn37YGdnBw0NDfj6+uL27dvyvrVERERERFRP3ukkD3g2mpeUlCTuJyUlwdPTEx4eHmL548ePkZqaCi8vr3Lnjx8/HoWFhThy5AjOnj2LhQsXQkNDAwBw8+ZNdO7cGVKpFIcOHcKpU6cwcuRIlJSUAACWLl2K6OhoREVF4cyZM/Dx8UGvXr2QmZkp08eMGTMQEhKCtLQ0WFtbY/DgwWIbVfVfkUePHiEqKgqbNm3CkSNHkJ2djZCQkCrvUWFhIfLz82U2IiIiIiJqmN7pZ/KAZ0nepEmTUFJSgsePH+P06dPw8PBAcXEx1qxZAwA4duwYCgsL4eXlhatXr8qcn52djb59+8LR0REAYG5uLh5buXIltLW1ER8fDyUlJQCAtbW1eDwqKgpTp07FoEGDAAALFy5EUlISlixZgpUrV4r1QkJC4OfnBwAIDw+Hg4MDLl++DFtb2yr7r0jZdVlYWAAAJkyYgIiIiCrPiYyMRHh4eJV1iIiIiIioYXjnR/I8PT3x8OFDnDhxAkePHoW1tTX09fXh4eEhPpeXnJwMc3NzmJiYlDs/KCgIc+fOhbu7O2bPno0zZ86Ix9LS0tCpUycxwXtefn4+bt26BXd3d5lyd3d3ZGRkyJQ5OTmJfxsaGgIAcnJyXtp/RdTU1MQEr6y9srYqExoairy8PHG7ceNGlfWJiIiIiKj+vPNJnqWlJVq0aIGkpCQkJSXBw8MDAGBkZARjY2P8/vvvSEpKQpcuXSo8f/To0bh69So++ugjnD17Fm5ubli+fDkAQFVVVS4xPp8kli2iUlpa+tL+X9ZWWXuCIFTZv1QqFd+Jx3fjERERERE1bO98kgdAXFAlOTkZnp6eYnnnzp3x66+/4vjx4xU+j1fG2NgYn3zyCRISEjB58mSsX78ewLMRuKNHj6K4uLjcOVpaWjAyMkJKSopMeUpKCuzt7WsUf2X9ExERERHRu+edfyYPeJbkjR8/HsXFxeJIHgB4eHhgwoQJKCoqqjTJmzRpErp37w5ra2vcu3cPSUlJsLOzA/Dsebfly5dj0KBBCA0Nhba2Nv744w+0a9cONjY2mDJlCmbPng0LCwu4uLggJiYGaWlpiIuLq3bsVfVf14Kd9TiqR0RERETUwDDJw7Mk7/Hjx7C1tUWzZs3Ecg8PDzx48EB81UJFnj59ivHjx+Pvv/+GlpYWfH198fXXXwMA9PT0cOjQIUyZMgUeHh5QVFSEi4uL+BxeUFAQ8vLyMHnyZOTk5MDe3h67du2ClZVVtWOvqn8iIiIiInr3SISXPZBF9IL8/Hxoa2sjLy+PI3lERERERHIkj9/afCaPiIiIiIjoLcIkj4iIiIiI6C3CJI+IiIiIiOgtwiSPiIiIiIjoLcIkrw55enpi0qRJ9R1GlQIDAxEQEFDfYRARERERkZwwyauhwMBASCQSfPLJJ+WOjR8/HhKJBIGBgQCAhIQEzJkz5zVHWDNLly5FbGxsfYdBRERERERywvfk1YKxsTHi4+Px9ddfQ1VVFQDw5MkT/PDDDzAxMRHrNW7cuL5CfKmnT59CIpFAW1u71m0sTs+FikaRHKNqeKa5NqnvEIiIiIiIaoQjebXQunVrGBsbIyEhQSxLSEiAiYkJXF1dxbIXp2uuWrUKVlZWUFFRQbNmzdCvXz/x2I8//ghHR0eoqqpCT08P3t7eePjwIQCgtLQUERERaNGiBaRSKVxcXLB3717x3OTkZEgkEty/f18sS0tLg0QiQVZWFgAgNjYWOjo62LVrF+zt7SGVSpGdnc3pmkREREREbxkmebU0cuRIxMTEiPvffvstRowYUWn9kydPIigoCBEREbh48SL27t2Lzp07AwBu376NwYMHY+TIkcjIyEBycjI++OADlL2nfunSpYiOjkZUVBTOnDkDHx8f9OrVC5mZmTWK+dGjR1i4cCG++eYb/PXXX2jatGktrpyIiIiIiBoyTtespQ8//BChoaG4fv06ACAlJQXx8fFITk6usH52djbU1dXRs2dPaGpqwtTUVBz1u337NkpKSvDBBx/A1NQUAODo6CieGxUVhalTp2LQoEEAgIULFyIpKQlLlizBypUrqx1zcXExVq1aBWdn5xpda2FhIQoLC8X9/Pz8Gp1PRERERESvD0fyaklfXx9+fn6IjY1FTEwM/Pz80KRJ5c9vdevWDaampjA3N8dHH32EuLg4PHr0CADg7OyMrl27wtHREf3798f69etx7949AM8Sqlu3bsHd3V2mPXd3d2RkZNQoZmVlZTg5OdXwSoHIyEhoa2uLm7GxcY3bICIiIiKi14NJ3isYOXIkYmNjsXHjRowcObLKupqamvjzzz+xefNmGBoaYtasWXB2dsb9+/ehqKiIAwcO4Ndff4W9vT2WL18OGxsbXLt2rVpxKCg8+xjLpncCz0btXqSqqgqJRFKDK3wmNDQUeXl54nbjxo0at0FERERERK8Hk7xX4Ovri6KiIhQXF8PHx+el9Rs1agRvb2989dVXOHPmDLKysnDo0CEAgEQigbu7O8LDw3H69GkoKytjx44d0NLSgpGREVJSUmTaSklJgb29PYBno4rAs2mfZdLS0uR0lYBUKoWWlpbMRkREREREDROfyXsFioqK4pRJRUXFKuv+8ssvuHr1Kjp37gxdXV3s2bMHpaWlsLGxQWpqKhITE/G///0PTZs2RWpqKv7991/Y2dkBAKZMmYLZs2fDwsICLi4uiImJQVpaGuLi4gAAlpaWMDY2RlhYGObNm4dLly4hOjq6bi+eiIiIiIgaJCZ5r6i6o1o6OjpISEhAWFgYnjx5AisrK2zevBkODg7IyMjAkSNHsGTJEuTn58PU1BTR0dHo3r07ACAoKAh5eXmYPHkycnJyYG9vj127dsHKygoAoKSkhM2bN+PTTz+Fk5MT2rZti7lz56J///51dt0AEOysx1E9IiIiIqIGRiI8/yAXUTXk5+dDW1sbeXl5TPKIiIiIiORIHr+1+UweERERERHRW4RJHhERERER0VuESR4REREREdFbhEkeERERERHRW4RJ3lsuMDAQAQEB9R0GERERERG9JkzyXtGdO3cwceJEWFpaQkVFBc2aNYO7uztWr16NR48e1Xd4WLp0KWJjY+s7DCIiIiIiek34nrxXcPXqVbi7u0NHRwfz58+Ho6MjpFIpzp49i3Xr1qF58+bo1atXnfRdXFwMJSWll9bT1tauk/4BYHF6LlQ0iuqs/YZimmuT+g6BiIiIiKjaOJL3CsaNG4dGjRrh5MmTGDBgAOzs7GBubo7evXtj9+7d8Pf3BwDcv38fo0ePhr6+PrS0tNClSxekp6fLtLV69WpYWFhAWVkZNjY22LRpk8xxiUSC1atXo1evXlBXV8e8efMAAHPnzkXTpk2hqamJ0aNHY9q0aXBxcRHPe3G65t69e9GxY0fo6OhAT08PPXv2xJUrV+rmBhERERER0WvHJK+WcnNzsX//fowfPx7q6uoV1pFIJACA/v37IycnB7/++itOnTqF1q1bo2vXrrh79y4AYMeOHZg4cSImT56Mc+fOYezYsRgxYgSSkpJk2gsLC0OfPn1w9uxZjBw5EnFxcZg3bx4WLlyIU6dOwcTEBKtXr64y7ocPHyI4OBgnT55EYmIiFBQU0KdPH5SWlsrhrhARERERUX2TCIIg1HcQb6LU1FS8//77SEhIQJ8+fcTyJk2a4MmTJwCA8ePHw9/fH35+fsjJyYFUKhXrWVpa4osvvsDHH38Md3d3ODg4YN26deLxAQMG4OHDh9i9ezeAZwnjpEmT8PXXX4t13n//fbi5uWHFihViWceOHVFQUIC0tDQAz0by7t+/j507d1Z4Hf/99x/09fVx9uxZtGrVqsI6hYWFKCwsFPfz8/NhbGyM2UeuQkVDs5p37M3F6ZpERERE9Lrk5+dDW1sbeXl50NLSqlUbHMmTs+PHjyMtLQ0ODg4oLCxEeno6CgoKoKenBw0NDXG7du2aOE0yIyMD7u7uMu24u7sjIyNDpszNzU1m/+LFi2jXrp1M2Yv7L8rMzMTgwYNhbm4OLS0tmJmZAQCys7MrPScyMhLa2triZmxsXGUfRERERERUf7jwSi1ZWlpCIpHg4sWLMuXm5uYAAFVVVQBAQUEBDA0NkZycXK4NHR2dGvVZ2bTQmvD394epqSnWr18PIyMjlJaWolWrVigqqnwBldDQUAQHB4v7ZSN5RERERETU8HAkr5b09PTQrVs3rFixAg8fPqy0XuvWrXHnzh00atQIlpaWMluTJs+mAdrZ2SElJUXmvJSUFNjb21cZg42NDU6cOCFT9uL+83Jzc3Hx4kV8+eWX6Nq1K+zs7HDv3r2XXSqkUim0tLRkNiIiIiIiapg4kvcKVq1aBXd3d7i5uSEsLAxOTk5QUFDAiRMncOHCBbRp0wbe3t5o3749AgIC8NVXX8Ha2hq3bt3C7t270adPH7i5uWHKlCkYMGAAXF1d4e3tjZ9//hkJCQk4ePBglf1/9tlnGDNmDNzc3NChQwds2bIFZ86cEUcTX6Srqws9PT2sW7cOhoaGyM7OxrRp0+ri1hARERERUT1hkvcKLCwscPr0acyfPx+hoaH4+++/IZVKYW9vj5CQEIwbNw4SiQR79uzBjBkzMGLECPz7778wMDBA586d0axZMwBAQEAAli5diqioKEycOBEtW7ZETEwMPD09q+x/6NChuHr1KkJCQvDkyRMMGDAAgYGBOH78eIX1FRQUEB8fj6CgILRq1Qo2NjZYtmzZS/upTLCzHkf1iIiIiIgaGK6u+Zbp1q0bDAwMyr1nT57kseIPERERERGVJ4/f2hzJe4M9evQIa9asgY+PDxQVFbF582YcPHgQBw4cqO/QiIiIiIionjDJe4OVTQWdN28enjx5AhsbG2zfvh3e3t71HRoREREREdUTJnlvMFVV1ZcuzkJERERERO8WvkKBiIiIiIjoLcIkj4iIiIiI6C3CJK8azMzMsGTJkkqPe3p6YtKkSdVuLzk5GRKJBPfv33/l2IiIiIiIiJ73zj+Td+PGDcyePRt79+7Ff//9B0NDQwQEBGDWrFnQ09Or7/AatMXpuVDRKKrvMF6Laa5N6jsEIiIiIqJqeadH8q5evQo3NzdkZmZi8+bNuHz5MtasWYPExES0b98ed+/ere8QiYiIiIiIauSdTvLGjx8PZWVl7N+/Hx4eHjAxMUH37t1x8OBB3Lx5EzNmzKjwvG+++QY6OjpITEys8PimTZvg5uYGTU1NGBgYYMiQIcjJySlX79SpU3Bzc4Oamho6dOiAixcvyhxfvXo1LCwsoKysDBsbm3IvOJdIJFi7di169uwJNTU12NnZ4dixY7h8+TI8PT2hrq6ODh064MqVK+I5V65cQe/evdGsWTNoaGigbdu2XKGTiIiIiOgt8s4meXfv3sW+ffswbtw4qKqqyhwzMDDA0KFDsWXLFgiCIHPsq6++wrRp07B//3507dq1wraLi4sxZ84cpKenY+fOncjKykJgYGC5ejNmzEB0dDROnjyJRo0aYeTIkeKxHTt2YOLEiZg8eTLOnTuHsWPHYsSIEUhKSpJpY86cORg2bBjS0tJga2uLIUOGYOzYsQgNDcXJkychCAImTJgg1i8oKECPHj2QmJiI06dPw9fXF/7+/sjOzq70XhUWFiI/P19mIyIiIiKihumdfSYvMzMTgiDAzs6uwuN2dna4d+8e/v33X7Fs6tSp2LRpEw4fPgwHB4dK234+WTM3N8eyZcvQtm1bFBQUQENDQzw2b948eHh4AACmTZsGPz8/PHnyBCoqKoiKikJgYCDGjRsHAAgODsYff/yBqKgoeHl5iW2MGDECAwYMEONr3749Zs6cCR8fHwDAxIkTMWLECLG+s7MznJ2dxf05c+Zgx44d2LVrl0wy+LzIyEiEh4dXer1ERERERNRwvLMjeWVeHKmrTHR0NNavX4/ffvutygQPeDYN09/fHyYmJtDU1BQTuRdHy5ycnMS/DQ0NAUCc1pmRkQF3d3eZ+u7u7sjIyKi0jWbNmgEAHB0dZcqePHkijr4VFBQgJCQEdnZ20NHRgYaGBjIyMqocyQsNDUVeXp643bhxo8rrJyIiIiKi+vPOJnmWlpaQSCTlkqYyGRkZ0NXVhb6+PgCgU6dOePr0KbZu3Vpluw8fPoSPjw+0tLQQFxeHEydOYMeOHQCAoiLZlSiVlJTEvyUSCQCgtLS0RtdRURtVtRsSEoIdO3Zg/vz5OHr0KNLS0uDo6FgutudJpVJoaWnJbERERERE1DC9s0menp4eunXrhlWrVuHx48cyx+7cuYO4uDgMHDhQTJLatWuHX3/9FfPnz0dUVFSl7V64cAG5ublYsGABOnXqBFtb2woXXXkZOzs7pKSkyJSlpKTA3t6+xm292EZgYCD69OkDR0dHGBgYICsr65XaJCIiIiKihuOdfSYPAFasWIEOHTrAx8cHc+fORcuWLfHXX39hypQpaN68OebNmydTv0OHDtizZw+6d++ORo0aVfgCdBMTEygrK2P58uX45JNPcO7cOcyZM6fGsU2ZMgUDBgyAq6srvL298fPPPyMhIeGVV8K0srJCQkIC/P39IZFIMHPmzBqPHpYJdtbjqB4RERERUQPzzo7kAc8SnpMnT8Lc3BwDBgyAhYUFPv74Y3h5eeHYsWNo3LhxuXM6duyI3bt348svv8Ty5cvLHdfX10dsbCy2bdsGe3t7LFiwoMqRv8oEBARg6dKliIqKgoODA9auXYuYmBh4enrW5lJFixcvhq6uLjp06AB/f3/4+PigdevWr9QmERERERE1HBKhuiuPEP1/+fn50NbWRl5eHkfyiIiIiIjkSB6/td/pkTwiIiIiIqK3DZM8IiIiIiKitwiTPCIiIiIiorcIkzwiIiIiIqK3CJM8OQgMDERAQEB9h0FERERERFS/78kLDAzExo0bMXbsWKxZs0bm2Pjx47Fq1SoMHz4csbGx9RPgGyQsLAw7d+5EWlqaTLlEIsGOHTvqJAldnJ4LFY0iubfb0E1zbVLfIRARERERVareR/KMjY0RHx+Px48fi2VPnjzBDz/8ABMTk3qMjIiIiIiI6M1T70le69atYWxsjISEBLEsISEBJiYmcHV1Fcv27t2Ljh07QkdHB3p6eujZsyeuXLkiHi8qKsKECRNgaGgIFRUVmJqaIjIyEgAgCALCwsJgYmICqVQKIyMjBAUFiedu2rQJbm5u0NTUhIGBAYYMGYKcnByZOP/66y/07NkTWlpa0NTURKdOnWT6B4CoqCgYGhpCT08P48ePR3FxsXhMIpFg586dMvV1dHTEUcqq4geA+/fvY/To0dDX14eWlha6dOmC9PR0AEBsbCzCw8ORnp4OiUQCiUSC2NhYmJmZAQD69OkDiUQi7qenp8PLywuamprQ0tJCmzZtcPLkyep8XERERERE1MDV63TNMiNHjkRMTAyGDh0KAPj2228xYsQIJCcni3UePnyI4OBgODk5oaCgALNmzUKfPn2QlpYGBQUFLFu2DLt27cLWrVthYmKCGzdu4MaNGwCA7du34+uvv0Z8fDwcHBxw584dMUECgOLiYsyZMwc2NjbIyclBcHAwAgMDsWfPHgDAzZs30blzZ3h6euLQoUPQ0tJCSkoKSkpKxDaSkpJgaGiIpKQkXL58GQMHDoSLiwvGjBlTrXtQVfwA0L9/f6iqquLXX3+FtrY21q5di65du+LSpUsYOHAgzp07h7179+LgwYMAAG1tbfj5+aFp06aIiYmBr68vFBUVAQBDhw6Fq6srVq9eDUVFRaSlpUFJSanS2AoLC1FYWCju5+fnV+uaiIiIiIjo9WsQSd6HH36I0NBQXL9+HQCQkpKC+Ph4mSSvb9++Mud8++230NfXx/nz59GqVStkZ2fDysoKHTt2hEQigampqVg3OzsbBgYG8Pb2hpKSEkxMTNCuXTvx+MiRI8W/zc3NsWzZMrRt2xYFBQXQ0NDAypUroa2tjfj4eDEZsra2lolHV1cXK1asgKKiImxtbeHn54fExMRqJ3lVxf/bb7/h+PHjyMnJgVQqBfBs1HDnzp348ccf8fHHH0NDQwONGjWCgYGBeJ6qqiqAZyOGz5dnZ2djypQpsLW1BQBYWVlVGVtkZCTCw8OrdR1ERERERFS/6n26JgDo6+vDz88PsbGxiImJgZ+fH5o0kV3cIjMzE4MHD4a5uTm0tLTEqYfZ2dkAni3ikpaWBhsbGwQFBWH//v3iuf3798fjx49hbm6OMWPGYMeOHTKjcKdOnYK/vz9MTEygqakJDw8PmbbT0tLQqVOnKke7HBwcxJEyADA0NCw35bMqVcWfnp6OgoIC6OnpQUNDQ9yuXbtWbspodQQHB2P06NHw9vbGggULXtpGaGgo8vLyxO35EUYiIiIiImpYGkSSBzwbTYuNjcXGjRtlRtbK+Pv74+7du1i/fj1SU1ORmpoK4NmzbMCzZ/uuXbuGOXPm4PHjxxgwYAD69esH4NniLhcvXsSqVaugqqqKcePGoXPnziguLsbDhw/h4+MDLS0txMXF4cSJE9ixY4dM22UjYlV5MQGUSCQoLS2V2RcEQabO88/sVRV/QUEBDA0NkZaWJrNdvHgRU6ZMeWlsLwoLC8Nff/0FPz8/HDp0CPb29uI1V0QqlUJLS0tmIyIiIiKihqlBTNcEAF9fXxQVFUEikcDHx0fmWG5uLi5evIj169ejU6dOAJ5NYXyRlpYWBg4ciIEDB6Jfv37w9fXF3bt30bhxY6iqqsLf3x/+/v4YP348bG1tcfbsWQiCgNzcXCxYsADGxsYAUG4REicnJ2zcuBHFxcVVjuZVRV9fH7dv3xb3MzMz8ejRo2rF37p1a9y5cweNGjUSRzBfpKysjKdPn5YrV1JSqrDc2toa1tbW+PzzzzF48GDExMSgT58+tbo2IiIiIiJqOBpMkqeoqIiMjAzx7+fp6upCT08P69atg6GhIbKzszFt2jSZOosXL4ahoSFcXV2hoKCAbdu2wcDAQFzB8unTp3jvvfegpqaG77//HqqqqjA1NUVpaSmUlZWxfPlyfPLJJzh37hzmzJkj0/aECROwfPlyDBo0CKGhodDW1sYff/yBdu3awcbGplrX16VLF6xYsQLt27fH06dPMXXqVJmEsar4vb290b59ewQEBOCrr76CtbU1bt26hd27d6NPnz5wc3ODmZkZrl27hrS0NLRo0QKampqQSqUwMzNDYmIi3N3dIZVKoaKigilTpqBfv35o2bIl/v77b5w4caLcM4/VEeysx1E9IiIiIqIGpsFM1wRQ6VRABQUFxMfH49SpU2jVqhU+//xzLFq0SKaOpqYmvvrqK7i5uaFt27bIysrCnj17oKCgAB0dHaxfvx7u7u5wcnLCwYMH8fPPP0NPTw/6+vqIjY3Ftm3bYG9vjwULFiAqKkqmbT09PRw6dAgFBQXw8PBAmzZtsH79+hqN6kVHR8PY2BidOnXCkCFDEBISAjU1tWrFL5FIsGfPHnTu3BkjRoyAtbU1Bg0ahOvXr6NZs2YAni1M4+vrCy8vL+jr62Pz5s1ivwcOHICxsTFcXV2hqKiI3NxcDBs2DNbW1hgwYAC6d+/OhVWIiIiIiN4SEuHFB8WIXiI/Px/a2trIy8vjSB4RERERkRzJ47d2gxrJIyIiIiIiolfDJI+IiIiIiOgtwiSPiIiIiIjoLcIkj4iIiIiI6C3CJK+OhYWFwcXF5ZXbSU5OhkQiwf3796t9TmBgIAICAl65byIiIiIienNwdc1X4O/vj+LiYuzdu7fcsaNHj6Jz585IT09H8+bNoaen90p9FRUV4e7du2jWrBkkEkm1zsnLy4MgCNDR0Xmlvl9UtuLP7CNXoaKhKde23yTTXJvUdwhERERE9Jbh6pr1bNSoUThw4AD+/vvvcsdiYmLg5uYGJyenKhO8oqKiavWlrKwMAwODaid4AKCtrS33BI+IiIiIiBo2JnmvoGfPnuLL1J9XUFCAbdu2YdSoUeWma5ZNoZw3bx6MjIxgY2MDAPj999/h4uICFRUVuLm5YefOnZBIJEhLSwNQfrpmbGwsdHR0sG/fPtjZ2UFDQwO+vr64fft2ub7K7N27Fx07doSOjg709PTQs2dPXLlypS5uDRERERER1RMmea+gUaNGGDZsGGJjY/H8rNdt27bh6dOnGDx4cIXnJSYm4uLFizhw4AB++eUX5Ofnw9/fH46Ojvjzzz8xZ84cTJ069aX9P3r0CFFRUdi0aROOHDmC7OxshISEVFr/4cOHCA4OxsmTJ5GYmAgFBQX06dMHpaWlVfZTWFiI/Px8mY2IiIiIiBqmRvUdwJtu5MiRWLRoEQ4fPgxPT08Az6Zq9u3bF9ra2hWeo66ujm+++QbKysoAgDVr1kAikWD9+vVQUVGBvb09bt68iTFjxlTZd3FxMdasWQMLCwsAwIQJExAREVFp/b59+8rsf/vtt9DX18f58+fRqlWrSs+LjIxEeHh4lbEQEREREVHDwJG8V2Rra4sOHTrg22+/BQBcvnwZR48exahRoyo9x9HRUUzwAODixYtwcnKCioqKWNauXbuX9q2mpiYmeABgaGiInJycSutnZmZi8ODBMDc3h5aWFszMzAAA2dnZVfYTGhqKvLw8cbtx48ZLYyMiIiIiovrBJE8ORo0ahe3bt+PBgweIiYmBhYUFPDw8Kq2vrq4ul36VlJRk9iUSCapaLNXf3x93797F+vXrkZqaitTUVAAvX/xFKpVCS0tLZiMiIiIiooaJSZ4cDBgwAAoKCvjhhx/w3XffYeTIkTVaBdPGxgZnz55FYWGhWHbixAm5xpibm4uLFy/iyy+/RNeuXWFnZ4d79+7JtQ8iIiIiIqp/fCZPDjQ0NDBw4ECEhoYiPz8fgYGBNTp/yJAhmDFjBj7++GNMmzYN2dnZiIqKAoAaJYtV0dXVhZ6eHtatWwdDQ0NkZ2dj2rRpr9RmsLMeR/WIiIiIiBoYjuTJyahRo3Dv3j34+PjAyMioRudqaWnh559/RlpaGlxcXDBjxgzMmjULAGSe03sVCgoKiI+Px6lTp9CqVSt8/vnnWLRokVzaJiIiIiKihkMiVPUQF9WbuLg4jBgxAnl5eVBVVa3vcGTk5+dDW1sbeXl5HMkjIiIiIpIjefzW5nTNBuK7776Dubk5mjdvjvT0dEydOhUDBgxocAkeERERERE1bEzyGog7d+5g1qxZuHPnDgwNDdG/f3/MmzevvsMiIiIiIqI3DKdrUo1xuiYRERERUd2Qx29tLrxCRERERET0FmGS14BIJBLs3LkTAJCVlQWJRIK0tLR6jYmIiIiIiN4sfCZPTgIDA3H//n0xSXtVxsbGuH37Npo0aSKX9oiIiIiI6N3AJK+BUlRUhIGBQX2HUaXF6blQ0Siq7zAahGmuTMaJiIiIqGHgdM064OnpiaCgIHzxxRdo3LgxDAwMEBYWJlMnMzMTnTt3hoqKCuzt7XHgwAGZ4y9O13z69ClGjRqFli1bQlVVFTY2Nli6dKnMOYGBgQgICEBUVBQMDQ2hp6eH8ePHo7i4WKyzadMmuLm5QVNTEwYGBhgyZAhycnLq5D4QEREREdHrx5G8OrJx40YEBwcjNTUVx44dQ2BgINzd3dGtWzeUlpbigw8+QLNmzZCamoq8vDxMmjSpyvZKS0vRokULbNu2DXp6evj999/x8ccfw9DQEAMGDBDrJSUlwdDQEElJSbh8+TIGDhwIFxcXjBkzBgBQXFyMOXPmwMbGBjk5OQgODkZgYCD27NlTl7eDiIiIiIheEyZ5dcTJyQmzZ88GAFhZWWHFihVITExEt27dcPDgQVy4cAH79u2DkZERAGD+/Pno3r17pe0pKSkhPDxc3G/ZsiWOHTuGrVu3yiR5urq6WLFiBRQVFWFraws/Pz8kJiaKSd7IkSPFuubm5li2bBnatm2LgoICaGhoVNh3YWEhCgsLxf38/Pxa3BEiIiIiInodOF2zjjg5OcnsGxoaitMiMzIyYGxsLCZ4ANC+ffuXtrly5Uq0adMG+vr60NDQwLp165CdnS1Tx8HBAYqKihX2CwCnTp2Cv78/TExMoKmpCQ8PDwAo187zIiMjoa2tLW7GxsYvjZWIiIiIiOoHk7w6oqSkJLMvkUhQWlpa6/bi4+MREhKCUaNGYf/+/UhLS8OIESNQVCS78ElV/T58+BA+Pj7Q0tJCXFwcTpw4gR07dgBAuXaeFxoairy8PHG7ceNGra+DiIiIiIjqVq2nax4+fBhRUVHIyMgAANjb22PKlCno1KmT3IJ7W9nZ2eHGjRu4ffs2DA0NAQB//PFHleekpKSgQ4cOGDdunFh25cqVGvV74cIF5ObmYsGCBeJo3MmTJ196nlQqhVQqrVFfRERERERUP2o1kvf999/D29sbampqCAoKQlBQEFRVVdG1a1f88MMP8o7xrePt7Q1ra2sMHz4c6enpOHr0KGbMmFHlOVZWVjh58iT27duHS5cuYebMmThx4kSN+jUxMYGysjKWL1+Oq1evYteuXZgzZ86rXAoRERERETUwtRrJmzdvHr766it8/vnnYllQUBAWL16MOXPmYMiQIXIL8G2koKCAHTt2YNSoUWjXrh3MzMywbNky+Pr6VnrO2LFjcfr0aQwcOBASiQSDBw/GuHHj8Ouvv1a7X319fcTGxmL69OlYtmwZWrdujaioKPTq1atW1xHsrActLa1anUtERERERHVDIgiCUNOTpFIp/vrrL1haWsqUX758Ga1atcKTJ0/kFiA1PPn5+dDW1kZeXh6TPCIiIiIiOZLHb+1aTdc0NjZGYmJiufKDBw9y5UUiIiIiIqJ6VKvpmpMnT0ZQUBDS0tLQoUMHAM8WBomNjcXSpUvlGiARERERERFVX62SvE8//RQGBgaIjo7G1q1bATxbMXLLli3o3bu3XAMkIiIiIiKi6qvVM3n0buMzeUREREREdaPenskjIiIiIiKihqna0zV1dXUhkUiqVffu3bu1DqiuvewaZs+ejbCwsNcTDBERERERkZxVO8lbsmSJ+Hdubi7mzp0LHx8ftG/fHgBw7Ngx7Nu3DzNnzpR7kPJ0+/Zt8e8tW7Zg1qxZuHjxolimoaFRH2G9kRan50JFo6i+w2gQprk2qe8QiIiIiIgA1GC65vDhw8UtJSUFERER2Lx5M4KCghAUFITNmzcjIiIChw8frst4X5mBgYG4aWtrQyKRyJTFx8fDzs4OKioqsLW1xapVq8Rzs7KyIJFIkJCQAC8vL6ipqcHZ2RnHjh0T68TGxkJHRwf79u2DnZ0dNDQ04OvrK5NcAsA333xTaT9FRUWYMGECDA0NoaKiAlNTU0RGRgIABEFAWFgYTExMIJVKYWRkhKCgIPHcwsJChISEoHnz5lBXV8d7772H5ORkmb5/++03dOrUCaqqqjA2NkZQUBAePnwoz9tMRERERET1pFbP5O3btw++vr7lyn19fXHw4MFXDqq+xMXFYdasWZg3bx4yMjIwf/58zJw5Exs3bpSpN2PGDISEhCAtLQ3W1tYYPHgwSkpKxOOPHj1CVFQUNm3ahCNHjiA7OxshISHV7mfZsmXYtWsXtm7diosXLyIuLg5mZmYAgO3bt+Prr7/G2rVrkZmZiZ07d8LR0VFse8KECTh27Bji4+Nx5swZ9O/fH76+vsjMzAQAXLlyBb6+vujbty/OnDmDLVu24LfffsOECRPq6rYSEREREdFrVKtXKOjp6eGnn37C5MmTZcp/+ukn6OnpySWw+jB79mxER0fjgw8+AAC0bNkS58+fx9q1azF8+HCxXkhICPz8/AAA4eHhcHBwwOXLl2FrawsAKC4uxpo1a2BhYQHgWeIVERFR7X6ys7NhZWWFjh07QiKRwNTUVDw3OzsbBgYG8Pb2hpKSEkxMTNCuXTvxWExMDLKzs2FkZCTGunfvXsTExGD+/PmIjIzE0KFDMWnSJACAlZUVli1bBg8PD6xevRoqKirl7kthYSEKCwvF/fz8/Fe70UREREREVGdqleSFh4dj9OjRSE5OxnvvvQcASE1Nxd69e7F+/Xq5Bvi6PHz4EFeuXMGoUaMwZswYsbykpATa2toydZ2cnMS/DQ0NAQA5OTlikqempiYmeGV1cnJyqt1PYGAgunXrBhsbG/j6+qJnz5743//+BwDo378/lixZAnNzc/j6+qJHjx7w9/dHo0aNcPbsWTx9+hTW1tYy8RYWForJd3p6Os6cOYO4uDjxuCAIKC0txbVr12BnZ1fu3kRGRiI8PLy6t5KIiIiIiOpRrZK8wMBA2NnZYdmyZUhISADw7GXov/32m5j0vWkKCgoAAOvXry93DYqKijL7SkpK4t9lq3WWlpZWeLysTtnrCKvTT+vWrXHt2jX8+uuvOHjwIAYMGABvb2/8+OOPMDY2xsWLF3Hw4EEcOHAA48aNw6JFi3D48GEUFBRAUVERp06dKhdz2YIyBQUFGDt2rMxzfGVMTEwqvDehoaEIDg4W9/Pz82FsbFxhXSIiIiIiql+1SvIA4L333pMZDXrTNWvWDEZGRrh69SqGDh1a7/1oaWlh4MCBGDhwIPr16wdfX1/cvXsXjRs3hqqqKvz9/eHv74/x48fD1tYWZ8+ehaurK54+fYqcnBx06tSpwnZbt26N8+fPw9LSstoxS6VSSKXSGl8rERERERG9frVO8so8efIERUWyy+jX9s3s9S08PBxBQUHQ1taGr68vCgsLcfLkSdy7d09mJKuu+1m8eDEMDQ3h6uoKBQUFbNu2DQYGBtDR0UFsbCyePn2K9957D2pqavj++++hqqoKU1NT6OnpYejQoRg2bBiio6Ph6uqKf//9F4mJiXBycoKfnx+mTp2K999/HxMmTMDo0aOhrq6O8+fP48CBA1ixYoXcrpGIiIiIiOpHrZK8R48e4YsvvsDWrVuRm5tb7vjTp09fObD6MHr0aKipqWHRokWYMmUK1NXV4ejoKC5S8rr60dTUxFdffYXMzEwoKiqibdu22LNnDxQUFKCjo4MFCxYgODgYT58+haOjI37++WfxmbuYmBjMnTsXkydPxs2bN9GkSRO8//776NmzJ4BnzxMePnwYM2bMQKdOnSAIAiwsLDBw4MAaX0ews94bm9ATEREREb2tJELZw2I1MH78eCQlJWHOnDn46KOPsHLlSty8eRNr167FggUL6nS6I9W//Px8aGtrIy8vj0keEREREZEcyeO3dq1G8n7++Wd899138PT0xIgRI9CpUydYWlrC1NQUcXFxTPKIiIiIiIjqSa1ehn737l2Ym5sDePb83d27dwEAHTt2xJEjR+QXHREREREREdVIrZI8c3NzXLt2DQBga2uLrVu3Ang2wqejoyO34IiIiIiIiKhmapXkjRgxAunp6QCAadOmYeXKlVBRUcHnn3+OKVOmyDVAIiIiIiIiqr5aLbzyouvXr+PUqVOwtLSEk5OTPOKiBowLrxARERER1Q15/Nau1Ujed999h8LCQnHf1NQUH3zwAWxtbfHdd9/VKpA3UVZWFiQSCdLS0iqtExsbyymsRERERET02tRqJE9RURG3b99G06ZNZcpzc3PRtGnTentP3po1azBlyhTcu3cPjRo9Wzi0oKAAurq6cHd3R3Jyslg3OTkZXl5euHz5MiwsLGrVX1ZWFlq2bInTp0/DxcWlwjqPHz/GgwcPyt2rV2VmZoZJkybJ/R1+1VH2/y7MPnIVKhqar73/hmiaa5P6DoGIiIiI3gL1NpInCAIkEkm58r///hva2tq1CkQevLy8UFBQgJMnT4plR48ehYGBAVJTU/HkyROxPCkpCSYmJrVO8KpLVVVV7gkeERERERFRZWqU5Lm6uqJ169aQSCTo2rUrWrduLW7Ozs7o1KkTvL296yrWl7KxsYGhoWG5EbvevXujZcuW+OOPP2TKvby8sGnTJri5uUFTUxMGBgYYMmQIcnJyxHr37t3D0KFDoa+vD1VVVVhZWSEmJkam36tXr8LLywtqampwdnbGsWPHxGMvTtcMCwuDi4sLNm3aBDMzM2hra2PQoEF48OCBWOfBgwcYOnQo1NXVYWhoiK+//hqenp7iqJ2npyeuX7+Ozz//HBKJRCbh3r59OxwcHCCVSmFmZobo6GiZWM3MzDB//nyMHDkSmpqaMDExwbp162p1v4mIiIiIqOGpUZIXEBCA3r17QxAE+Pj4oHfv3uI2aNAgrF27Ft9//31dxVotXl5eSEpKEveTkpLg6ekJDw8Psfzx48dITU2Fl5cXiouLMWfOHKSnp2Pnzp3IyspCYGCgeP7MmTNx/vx5/Prrr8jIyMDq1avRpIns1LwZM2YgJCQEaWlpsLa2xuDBg1FSUlJpjFeuXMHOnTvxyy+/4JdffsHhw4exYMEC8XhwcDBSUlKwa9cuHDhwAEePHsWff/4pHk9ISECLFi0QERGB27dv4/bt2wCAU6dOYcCAARg0aBDOnj2LsLAwzJw5E7GxsTL9R0dHw83NDadPn8a4cePw6aef4uLFi5XGW1hYiPz8fJmNiIiIiIgapkY1qTx79mwAz0aDBg0aBKlUWidBvQovLy9MmjQJJSUlePz4MU6fPg0PDw8UFxdjzZo1AIBjx46hsLAQXl5eMDExEc81NzfHsmXL0LZtWxQUFEBDQwPZ2dlwdXWFm5sbgGfX/qKQkBD4+fkBAMLDw+Hg4IDLly/D1ta2whhLS0sRGxsLTc1nz7N99NFHSExMxLx58/DgwQNs3LgRP/zwA7p27QoAiImJgZGRkXh+48aNoaioKI4+llm8eDG6du2KmTNnAgCsra1x/vx5LFq0SCZx7dGjB8aNGwcAmDp1Kr7++mskJSXBxsamwngjIyMRHh5e+U0nIiIiIqIGo1bP5HXp0gX//vuvuH/8+HFMmjSpQUz78/T0xMOHD3HixAkcPXoU1tbW0NfXh4eHh/hcXnJyMszNzWFiYoJTp07B398fJiYm0NTUhIeHBwAgOzsbAPDpp58iPj4eLi4u+OKLL/D777+X6/P510YYGhoCgMyUzxeZmZmJCV7ZOWX1r169iuLiYrRr1048rq2tXWkC9ryMjAy4u7vLlLm7uyMzM1NmMZzn45VIJDAwMKgy3tDQUOTl5YnbjRs3XhoLERERERHVj1oleUOGDBGnPt65cwfe3t44fvw4ZsyYgYiICLkGWFOWlpZo0aIFkpKSkJSUJCZtRkZGMDY2xu+//46kpCR06dIFDx8+hI+PD7S0tBAXF4cTJ05gx44dAICioiIAQPfu3cXn327duoWuXbsiJCREpk8lJSXx77Ln40pLSyuN8fn6ZedUVV/eatq/VCqFlpaWzEZERERERA1TrZK8c+fOiSNNW7duhaOjI37//XfExcWVe/6rPnh5eSE5ORnJycnw9PQUyzt37oxff/0Vx48fh5eXFy5cuIDc3FwsWLAAnTp1gq2tbYUjWvr6+hg+fDi+//57LFmypE5HLM3NzaGkpIQTJ06IZXl5ebh06ZJMPWVl5XKvqrCzs0NKSopMWUpKCqytraGoqFhnMRMRERERUcNRo2fyyhQXF4vP4x08eBC9evUCANja2oqLgNQnLy8vjB8/HsXFxeJIHgB4eHhgwoQJKCoqgpeXFxo1agRlZWUsX74cn3zyCc6dO4c5c+bItDVr1iy0adMGDg4OKCwsxC+//AI7O7s6i11TUxPDhw/HlClT0LhxYzRt2hSzZ8+GgoKCzCqaZmZmOHLkiPhsZJMmTTB58mS0bdsWc+bMwcCBA3Hs2DGsWLECq1atqpNYg531OKpHRERERNTA1Gokz8HBAWvWrMHRo0dx4MAB+Pr6AgBu3boFPT09uQZYG15eXnj8+DEsLS3RrFkzsdzDwwMPHjwQX7Wgr6+P2NhYbNu2Dfb29liwYAGioqJk2lJWVkZoaCicnJzQuXNnKCoqIj4+vk7jX7x4Mdq3b4+ePXvC29sb7u7usLOzg4qKilgnIiICWVlZsLCwgL6+PgCgdevW2Lp1K+Lj49GqVSvMmjULERERMouuEBERERHR200iCIJQ05OSk5PRp08f5OfnY/jw4fj2228BANOnT8eFCxeQkJAg90DfZQ8fPkTz5s0RHR2NUaNG1Xc4yM/Ph7a2NvLy8jiSR0REREQkR/L4rV2r6Zqenp7477//kJ+fD11dXbH8448/hpqaWq0Cof9z+vRpXLhwAe3atUNeXp64mE3v3r3rOTIiIiIiImroajRd8/lFSRQVFWUSPABo0aIFsrKy5BLYuy4qKgrOzs7w9vbGw4cPcfTo0XIvYSciIiIiInpRjaZrKioq4vbt22jatCkAwNHREXv27IGxsTEA4J9//oGRkVG5VR/p7cLpmkREREREdUMev7VrNJL3Yj6YlZWF4uLiKusQERERERHR61Or1TWr8vwy//R/wsLC4OLi8tr7lUgk2Llz52vvl4iIiIiI6ketFl6pD4GBgdi4cSMAQElJCSYmJhg2bBimT5+ORo3emMt47W7fvl3u2Ul5WZyeCxWNojpp+10wzZXPWBIRERGR/NUoO5JIJHjw4AFUVFQgCAIkEgkKCgqQn58PAOL/1hVfX1/ExMSgsLAQe/bswfjx46GkpITQ0NA67fdNZmBgUN8hEBERERHRa1TjZ/Ksra2hq6uLxo0bo6CgAK6urtDV1YWuri5sbGzqKk4AgFQqhYGBAUxNTfHpp5/C29sbu3btQmFhIUJCQtC8eXOoq6vjvffeQ3JysnhebGwsdHR0sG/fPtjZ2UFDQwO+vr64ffu2WCcwMBABAQGIioqCoaEh9PT0MH78eJlnDletWgUrKyuoqKigWbNm6NevHwDgu+++g56eHgoLC2XiDQgIwEcffVTuOvbv3w8VFRXcv39fpnzixIno0qULACA3NxeDBw9G8+bNoaamBkdHR2zevFmmvqenJ4KCgvDFF1+gcePGMDAwQFhYmEydF6drTp06FdbW1lBTU4O5uTlmzpxZ7rlKIiIiIiJ6c9VoJC8pKamu4qgVVVVV5ObmYsKECTh//jzi4+NhZGSEHTt2wNfXF2fPnoWVlRUA4NGjR4iKisKmTZugoKCADz/8ECEhIYiLixPbS0pKgqGhIZKSknD58mUMHDgQLi4uGDNmDE6ePImgoCBs2rQJHTp0wN27d3H06FEAQP/+/REUFIRdu3ahf//+AJ69bmL37t3Yv39/ubi7du0KHR0dbN++XXy5+dOnT7FlyxbMmzcPAPDkyRO0adMGU6dOhZaWFnbv3o2PPvoIFhYWaNeundjWxo0bERwcjNTUVBw7dgyBgYFwd3dHt27dKrxnmpqaiI2NhZGREc6ePYsxY8ZAU1MTX3zxRaX3ubCwUCaBresRWyIiIiIiqr0aJXkeHh51FUeNCIKAxMRE7Nu3D4MHD0ZMTAyys7NhZGQEAAgJCcHevXsRExOD+fPnAwCKi4uxZs0aWFhYAAAmTJggvmS8jK6uLlasWAFFRUXY2trCz88PiYmJGDNmDLKzs6Guro6ePXtCU1MTpqamcHV1BfAs2RwyZAhiYmLEJO/777+HiYkJPD09y8WvqKiIQYMG4YcffhCTvMTERNy/fx99+/YFADRv3hwhISHiOZ999hn27duHrVu3yiR5Tk5OmD17NgDAysoKK1asQGJiYqVJ3pdffin+bWZmhpCQEMTHx1eZ5EVGRiI8PLzS40RERERE1HDUesWSp0+fYufOncjIyAAAODg4oFevXlBUVJRbcC/65ZdfoKGhgeLiYpSWlmLIkCHo168fYmNjYW1tLVO3sLAQenp64r6ampqY4AGAoaGhzMvdy67h+fgNDQ1x9uxZAEC3bt1gamoKc3Nz+Pr6wtfXF3369IGamhoAYMyYMWjbti1u3ryJ5s2bIzY2FoGBgZWuNjp06FC8//77uHXrFoyMjBAXFwc/Pz/o6OgAeHZ/58+fj61bt+LmzZsoKipCYWGh2F8ZJycnmf2Krut5W7ZswbJly3DlyhUUFBSgpKTkpe/fCA0NRXBwsLifn58vvhuRiIiIiIgalloleZcvX0aPHj1w8+ZN8Tm8yMhIGBsbY/fu3TLJlDx5eXlh9erVUFZWhpGRERo1aoQtW7ZAUVERp06dKpdgamhoiH8rKSnJHJNIJOXe6VdRndLSUgDPpjn++eefSE5Oxv79+zFr1iyEhYXhxIkT0NHRgaurK5ydnfHdd9/hf//7H/766y/s3r270mtp27YtLCwsEB8fj08//RQ7duxAbGyseHzRokVYunQplixZAkdHR6irq2PSpEkoKpJdzbKqmF907NgxDB06FOHh4fDx8YG2tjbi4+MRHR1daZzAs2chpVJplXWIiIiIiKhhqFWSFxQUBAsLC/zxxx9o3LgxgGcLhXz44YcICgqqMrl5Ferq6rC0tJQpc3V1xdOnT5GTk4NOnTrVSb9lGjVqBG9vb3h7e2P27NnQ0dHBoUOH8MEHHwAARo8ejSVLluDmzZvw9vZ+6WjX0KFDERcXhxYtWkBBQQF+fn7isZSUFPTu3RsffvghAKC0tBSXLl2Cvb19reP//fffYWpqihkzZohl169fr3V7RERERETU8NQqyTt8+LBMggcAenp6WLBgAdzd3eUWXHVYW1tj6NChGDZsGKKjo+Hq6op///0XiYmJcHJykkmcXsUvv/yCq1evonPnztDV1cWePXtQWloqs6LokCFDEBISgvXr1+O77757aZtDhw5FWFgY5s2bh379+smMlllZWeHHH3/E77//Dl1dXSxevBj//PPPKyV5VlZWyM7ORnx8PNq2bYvdu3djx44dtW4v2FnvpVM9iYiIiIjo9arRKxTKSKVSPHjwoFx5QUEBlJWVXzmomoqJicGwYcMwefJk2NjYICAgACdOnICJiYnc+tDR0UFCQgK6dOkCOzs7rFmzBps3b4aDg4NYR1tbG3379oWGhgYCAgJe2qalpSXatWuHM2fOYOjQoTLHvvzyS7Ru3Ro+Pj7w9PSEgYFBtdqsSq9evfD5559jwoQJcHFxwe+//46ZM2e+UptERERERNSwSIQXH0yrhmHDhuHPP//Ehg0bxJUeU1NTMWbMGLRp00bm2bJ3TdeuXeHg4IBly5bVdyh1Jj8/H9ra2sjLy+NIHhERERGRHMnjt3atRvKWLVsGCwsLtG/fHioqKlBRUYG7uzssLS2xdOnSWgXyprt37x527NiB5ORkjB8/vr7DISIiIiKid1StnsnT0dHBTz/9hMuXL4uvULCzsyu3KMq7xNXVFffu3cPChQtlntMjIiIiIiJ6nWr9njzg2TNl73Ji97ysrKz6DoGIiIiIiKj2Sd7ff/+NXbt2ITs7u9y72xYvXvzKgREREREREVHN1SrJS0xMRK9evWBubo4LFy6gVatWyMrKgiAIaN26tbxjfKOFhYVh586dSEtLq5f+PT094eLigiVLltRL/0RERERE9HrVKskLDQ1FSEgIwsPDoampie3bt6Np06YYOnQofH195R1jvbpz5w7mzZuH3bt34+bNm2jatClcXFwwadIkdO3atb7Dq1eL03OholH08or0Sqa5NqnvEIiIiIjoDVKr1TUzMjIwbNgwAECjRo3w+PFjaGhoICIiAgsXLpRrgPUpKysLbdq0waFDh7Bo0SKcPXsWe/fuhZeX12tdQbO4uPi19UVERERERG+2WiV56urq4nN4hoaGuHLlinjsv//+k09kDcC4ceMgkUhw/Phx9O3bF9bW1nBwcEBwcDD++OMPAEB2djZ69+4NDQ0NaGlpYcCAAfjnn38qbbO0tBQRERFo0aIFpFIpXFxcsHfvXvF4VlYWJBIJtmzZAg8PD6ioqCAuLg65ubkYPHgwmjdvDjU1NTg6OmLz5s0ybT98+BDDhg2DhoYGDA0NER0dXa7/e/fuYdiwYdDV1YWamhq6d++OzMxMOd0xIiIiIiKqb7VK8t5//3389ttvAIAePXpg8uTJmDdvHkaOHIn3339frgHWl7t372Lv3r0YP3481NXVyx3X0dFBaWkpevfujbt37+Lw4cM4cOAArl69ioEDB1ba7tKlSxEdHY2oqCicOXMGPj4+6NWrV7lEa9q0aZg4cSIyMjLg4+ODJ0+eoE2bNti9ezfOnTuHjz/+GB999BGOHz8unjNlyhQcPnwYP/30E/bv34/k5GT8+eefMu0GBgbi5MmT2LVrF44dOwZBENCjR48qRwsLCwuRn58vsxERERERUcNUq2fyFi9ejIKCAgBAeHg4CgoKsGXLFlhZWb01K2tevnwZgiDA1ta20jqJiYk4e/Ysrl27BmNjYwDAd999BwcHB5w4cQJt27Ytd05UVBSmTp2KQYMGAQAWLlyIpKQkLFmyBCtXrhTrTZo0CR988IHMuSEhIeLfn332Gfbt24etW7eiXbt2KCgowIYNG/D999+Lzwpu3LgRLVq0EM/JzMzErl27kJKSgg4dOgAA4uLiYGxsjJ07d6J///4VXmdkZCTCw8OrvF9ERERERNQw1CrJMzc3F/9WV1fHmjVr5BZQQyEIwkvrZGRkwNjYWEzwAMDe3h46OjrIyMgol+Tl5+fj1q1bcHd3lyl3d3dHenq6TJmbm5vM/tOnTzF//nxs3boVN2/eRFFREQoLC6GmpgYAuHLlCoqKivDee++J5zRu3FjmxewZGRlo1KiRTB09PT3Y2NiIL7WvSGhoKIKDg2Wu4/lrJiIiIiKihqNWSd6JEydQWloqkywAQGpqKhQVFcslKG8iKysrSCQSXLhwoV76f3GK6KJFi7B06VIsWbIEjo6OUFdXx6RJk8q9o7AuSKVSSKXSOu+HiIiIiIheXa2eyRs/fjxu3LhRrvzmzZuvddXJutS4cWP4+Phg5cqVePjwYbnj9+/fh52dHW7cuCFzL86fP4/79+/D3t6+3DlaWlowMjJCSkqKTHlKSkqF9V+s07t3b3z44YdwdnaGubk5Ll26JB63sLCAkpISUlNTxbJ79+7J1LGzs0NJSYlMndzcXFy8ePGl/RMRERER0ZuhViN558+fr/Cl566urjh//vwrB9VQrFy5Eu7u7mjXrh0iIiLg5OSEkpISHDhwAKtXr8b58+fh6OiIoUOHYsmSJSgpKcG4cePg4eFR6WjmlClTMHv2bFhYWMDFxQUxMTFIS0tDXFxclbFYWVnhxx9/xO+//w5dXV0sXrwY//zzj5icaWhoYNSoUZgyZQr09PTQtGlTzJgxAwoKCjJt9O7dG2PGjMHatWuhqamJadOmoXnz5ujdu3eN70+wsx60tLRqfB4REREREdWdWiV5UqkU//zzj8yzeQBw+/ZtNGpUqyYbJHNzc/z555+YN28eJk+ejNu3b0NfXx9t2rTB6tWrIZFI8NNPP+Gzzz5D586doaCgAF9fXyxfvrzSNoOCgpCXl4fJkycjJycH9vb22LVrF6ysrKqM5csvv8TVq1fh4+MDNTU1fPzxxwgICEBeXp5YZ9GiRSgoKIC/vz80NTUxefJkmeMAEBMTg4kTJ6Jnz54oKipC586dsWfPHigpKb3azSIiIiIiogZBIlRnhZEXDB48GLdv38ZPP/0EbW1tAM+mLwYEBKBp06bYunWr3AOlhiM/Px/a2trIy8vjSB4RERERkRzJ47d2rYbdoqKi0LlzZ5iamsLV1RUAkJaWhmbNmmHTpk21CoSIiIiIiIheXa2SvObNm+PMmTOIi4tDeno6VFVVMWLECAwePJjT/oiIiIiIiOpRrR+gU1dXx8cffyzPWIiIiIiIiOgVVTvJ27VrF7p37w4lJSXs2rWryrq9evV65cCIiIiIiIio5qq98IqCggLu3LmDpk2byizLX65BiQRPnz6VW4BvCk9PT7i4uGDJkiUvrZucnAwvLy/cu3cPOjo6FdYJCwvDzp07kZaWJtc45YELrxARERER1Q15/Nau9svQS0tL0bRpU/Hvyra3KcELDAyERCLBJ598Uu7Y+PHjIZFIEBgYCABISEjAnDlz5NZ3SEgIEhMT5dYeERERERG9G2r8TF5xcTF8fX2xZs2al77b7W1gbGyM+Ph4fP3111BVVQUAPHnyBD/88ANMTEzEeo0bN5ZrvxoaGtDQ0JBrm/K2OD0XKhpF9R3GO2maa5P6DoGIiIiIGqhqj+SVUVJSwpkzZ+oilgapdevWMDY2RkJCgliWkJAAExMT8fURwLPpmpMmTRL3CwsLMXXqVBgbG0MqlcLS0hIbNmyQafvUqVNwc3ODmpoaOnTogIsXL4rHwsLC4OLiIu6XlJQgKCgIOjo60NPTw9SpUzF8+HAEBASIdfbu3YuOHTuKdXr27IkrV66Ix7OysiCRSJCQkAAvLy+oqanB2dkZx44dk8OdIiIiIiKihqDGSR4AfPjhh+USlrfZyJEjERMTI+5/++23GDFiRJXnDBs2DJs3b8ayZcuQkZGBtWvXlhuZmzFjBqKjo3Hy5Ek0atQII0eOrLS9hQsXIi4uDjExMUhJSUF+fj527twpU+fhw4cIDg7GyZMnkZiYCAUFBfTp0welpaXl+g0JCUFaWhqsra0xePBglJSUVPNuEBERERFRQ1arVyiUlJTg22+/xcGDB9GmTRuoq6vLHF+8eLFcgmsoPvzwQ4SGhuL69esAgJSUFMTHxyM5ObnC+pcuXcLWrVtx4MABeHt7AwDMzc3L1Zs3bx48PDwAANOmTYOfnx+ePHkCFRWVcnWXL1+O0NBQ9OnTBwCwYsUK7NmzR6ZO3759Zfa//fZb6Ovr4/z582jVqpVYHhISAj8/PwBAeHg4HBwccPnyZdja2lZ4PYWFhSgsLBT38/PzK6xHRERERET1r1ZJ3rlz59C6dWsAzxKa50kkklePqoHR19eHn58fYmNjIQgC/Pz80KRJ5c9EpaWlQVFRUUzgKuPk5CT+bWhoCADIycmRedYPAPLy8vDPP/+gXbt2YpmioiLatGkjM0qXmZmJWbNmITU1Ff/99594LDs7WybJq6zfypK8yMhIhIeHV3ktRERERETUMNQqyUtKSpJ3HA3eyJEjMWHCBADAypUrq6xbtkDLyygpKYl/lyXHL06trAl/f3+Ymppi/fr1MDIyQmlpKVq1aoWiItnFUWrab2hoKIKDg8X9/Px8GBsb1zpOIiIiIiKqO7V6Ji8vLw93794tV3737t23diqfr68vioqKUFxcDB8fnyrrOjo6orS0FIcPH5ZL39ra2mjWrBlOnDghlj19+hR//vmnuJ+bm4uLFy/iyy+/RNeuXWFnZ4d79+7JpX+pVAotLS2ZjYiIiIiIGqZaJXmDBg1CfHx8ufKtW7di0KBBrxxUQ6SoqIiMjAycP38eioqKVdY1MzPD8OHDMXLkSOzcuRPXrl1DcnIytm7dWuv+P/vsM0RGRuKnn37CxYsXMXHiRNy7d08cidPV1YWenh7WrVuHy5cv49ChQzKjb0RERERE9G6o1XTN1NTUChdX8fT0xIwZM145qIaqJiNYq1evxvTp0zFu3Djk5ubCxMQE06dPr3XfU6dOxZ07dzBs2DAoKiri448/ho+Pj5hwKigoID4+HkFBQWjVqhVsbGywbNkyeHp61rrPlwl21uOoHhERERFRAyMRBEGo6Unq6ur4448/4OjoKFN+9uxZvPfee3j06JHcAqSKlZaWws7ODgMGDMCcOXNea9/5+fnQ1tZGXl4ekzwiIiIiIjmSx2/tWk3XbNeuHdatW1eufM2aNWjTpk2tAqGqXb9+HevXr8elS5dw9uxZfPrpp7h27RqGDBlS36EREREREVEDUqvpmnPnzoW3tzfS09PRtWtXAEBiYiJOnDiB/fv3yzVAekZBQQGxsbEICQmBIAho1aoVDh48CDs7u/oOjYiIiIiIGpBaTdcEnr0LbtGiRUhLS4OqqiqcnJwQGhoKKysrecdIDQynaxIRERER1Q15/NaudZJH7y4meUREREREdaPensn7888/cfbsWXH/p59+QkBAAKZPn17uxdtvssDAQAQEBNR3GDWSlZUFiUSCtLQ0AEBycjIkEgnu379fr3EREREREdHrUaskb+zYsbh06RIA4OrVqxg4cCDU1NSwbds2fPHFF3INEHiWbEkkEixYsECmfOfOneJ74l7Fi4nRqyoqKsJXX30FZ2dnqKmpoUmTJnB3d0dMTAyKi4vl0kd1dejQAbdv34a2tvZr7ZeIiIiIiOpHrRZeuXTpElxcXAAA27Ztg4eHB3744QekpKRg0KBBWLJkiRxDfEZFRQULFy7E2LFjoaurK7d25T3yWFRUBB8fH6Snp2POnDlwd3eHlpYW/vjjD0RFRcHV1VW8dzVVXFwMJSWlGp2jrKwMAwODWvX3MovTc6Gi8faM3L4tprk2qe8QiIiIiKge1WokTxAElJaWAgAOHjyIHj16AACMjY3x33//yS+653h7e8PAwACRkZFV1tu+fTscHBwglUphZmaG6OhomeNmZmaYM2cOhg0bBi0tLXz88cdo2bIlAMDV1RUSiaTcC8SjoqJgaGgIPT09jB8/vsrRuCVLluDIkSNITEzE+PHj4eLiAnNzcwwZMgSpqaniwjR79+5Fx44doaOjAz09PfTs2RNXrlwR2ykbXdyyZQs8PDygoqKCuLg4lJaWIiIiAi1atIBUKoWLiwv27t1baTwvTteMjY2Fjo4O9u3bBzs7O2hoaMDX1xe3b9+u8r4SEREREdGboVZJnpubG+bOnYtNmzbh8OHD8PPzAwBcu3YNzZo1k2uAZRQVFTF//nwsX74cf//9d4V1Tp06hQEDBmDQoEE4e/YswsLCMHPmTMTGxsrUi4qKgrOzM06fPo2ZM2fi+PHjAJ4lrLdv30ZCQoJYNykpCVeuXEFSUhI2btyI2NjYcu09Ly4uDt7e3nB1dS13TElJCerq6gCAhw8fIjg4GCdPnkRiYiIUFBTQp08fMXkuM23aNEycOBEZGRnw8fHB0qVLER0djaioKJw5cwY+Pj7o1asXMjMzq3MbAQCPHj1CVFQUNm3ahCNHjiA7OxshISHVPp+IiIiIiBquWk3XXLJkCYYOHYqdO3dixowZsLS0BAD8+OOP6NChg1wDfF6fPn3g4uKC2bNnY8OGDeWOL168GF27dsXMmTMBANbW1jh//jwWLVqEwMBAsV6XLl0wefJkcV9RUREAoKenV25qo66uLlasWAFFRUXY2trCz88PiYmJGDNmTIUxZmZmlhsJrEjfvn1l9r/99lvo6+vj/PnzaNWqlVg+adIkfPDBB+J+VFQUpk6dikGDBgEAFi5ciKSkJCxZsgQrV658ab/As2mfa9asgYWFBQBgwoQJiIiIqLR+YWEhCgsLxf38/Pxq9UNERERERK9frUbynJyccPbsWeTl5WH27Nli+aJFi7Bx40a5BVeRhQsXYuPGjcjIyCh3LCMjA+7u7jJl7u7uyMzMxNOnT8UyNze3avfn4OAgJoEAYGhoiJycnErrV/eNFJmZmRg8eDDMzc2hpaUFMzMzAEB2drZMvedjzc/Px61btyq8xoruR2XU1NTEBA94+TVFRkZCW1tb3IyNjavdFxERERERvV61SvIA4P79+/jmm28QGhqKu3fvAgDOnz9fZbIgD507d4aPjw9CQ0Nr3UbZlMnqeHGhE4lEUm5K5fOsra1x4cKFl7br7++Pu3fvYv369UhNTUVqaiqA8gvB1CTW6qromqpKTkNDQ5GXlyduN27ckHtMREREREQkH7WarnnmzBl07doVOjo6yMrKwpgxY9C4cWMkJCQgOzsb3333nbzjlLFgwQK4uLjAxsZGptzOzg4pKSkyZSkpKbC2tpYZjXuRsrIyAMiM9tXWkCFDMH36dJw+fbrcc3nFxcUoKirCkydPcPHiRaxfvx6dOnUCAPz2228vbVtLSwtGRkZISUmBh4eHWJ6SkoJ27dq9cuyVkUqlkEqlddY+ERERERHJT61G8oKDgzFixAhkZmZCRUVFLO/RoweOHDkit+Aq4+joiKFDh2LZsmUy5ZMnT0ZiYiLmzJmDS5cuYePGjVixYsVLFxVp2rQpVFVVsXfvXvzzzz/Iy8urdWyTJk2Cu7s7unbtipUrVyI9PR1Xr17F1q1b8f777yMzMxO6urrQ09PDunXrcPnyZRw6dAjBwcHVan/KlClYuHAhtmzZgosXL2LatGlIS0vDxIkTax0zERERERG9PWo1knfixAmsXbu2XHnz5s1x586dVw6qOiIiIrBlyxaZstatW2Pr1q2YNWsW5syZA0NDQ0RERMgsulKRRo0aYdmyZYiIiMCsWbPQqVMnJCcn1youqVSKAwcO4Ouvv8batWsREhICNTU12NnZISgoCK1atYKCggLi4+PFfRsbGyxbtqxaC7YEBQUhLy8PkydPRk5ODuzt7bFr1y7x1QyvU7CzHrS0tF57v0REREREVDmJUN2VQp7TtGlT7Nu3D66urtDU1ER6ejrMzc1x4MABjBw5ks9sveXy8/Ohra2NvLw8JnlERERERHIkj9/atZqu2atXL0RERIgvBZdIJMjOzsbUqVPLvRqAiIiIiIiIXp9aJXnR0dEoKCiAvr4+Hj9+DA8PD1haWkJTUxPz5s2Td4xERERERERUTbV6Jk9bWxsHDhxASkoK0tPTUVBQgNatW8Pb21ve8REREREREVEN1DjJKy0tRWxsLBISEpCVlQWJRIKWLVvCwMAAgiBAIpHURZxERERERERUDTWarikIAnr16oXRo0fj5s2bcHR0hIODA65fv47AwED06dOnruKkSpiZmWHJkiWVHi9LxNPS0l5bTEREREREVH9qlOTFxsbiyJEjSExMxOnTp7F582bEx8cjPT0dBw8exKFDh+r8Rejvkhs3bmDkyJEwMjKCsrIyTE1NMXHiROTm5la7DWNjY9y+fRutWrWqw0iJiIiIiKihqNF0zc2bN2P69Onw8vIqd6xLly6YNm0a4uLiMGzYMLkF+K66evUq2rdvD2tra2zevBktW7bEX3/9hSlTpuDXX3/FH3/8gcaNG7+0HUVFRRgYGNRJjIvTc6GiUVQnbZP8THNtUt8hEBEREdFrVKORvDNnzsDX17fS4927d0d6evorB0XA+PHjoaysjP3798PDwwMmJibo3r07Dh48iJs3b2LGjBli3UePHmHkyJHQ1NSEiYkJ1q1bJx6raLrm4cOH0a5dO0ilUhgaGmLatGkoKSl5nZdHRERERER1pEZJ3t27d9GsWbNKjzdr1gz37t175aDedXfv3sW+ffswbtw4qKqqyhwzMDDA0KFDsWXLFpS9xz46Ohpubm44ffo0xo0bh08//RQXL16ssO2bN2+iR48eaNu2LdLT07F69Wps2LABc+fOrfPrIiIiIiKiulejJO/p06do1KjyGZ6KioocEZKDzMxMCIIAOzu7Co/b2dnh3r17+PfffwEAPXr0wLhx42BpaYmpU6eiSZMmSEpKqvDcVatWwdjYGCtWrICtrS0CAgIQHh6O6OholJaWVnhOYWEh8vPzZTYiIiIiImqYavRMniAICAwMhFQqrfB4YWGhXIKiZ8pG6l7GyclJ/FsikcDAwAA5OTkV1s3IyED79u1lXnXh7u6OgoIC/P333zAxMSl3TmRkJMLDw2sYPRERERER1YcajeQNHz4cTZs2hba2doVb06ZNueiKHFhaWkIikSAjI6PC4xkZGdDV1YW+vj4AQElJSea4RCKpdFSuNkJDQ5GXlyduN27ckFvbREREREQkXzUayYuJiamrOOg5enp66NatG1atWoXPP/9c5rm8O3fuiCuY1ubF83Z2dti+fbvMi+tTUlKgqamJFi1aVHiOVCqtdPSWiIiIiIgalhqN5NHrs2LFChQWFsLHxwdHjhzBjRs3sHfvXnTr1g3NmzfHvHnzatXuuHHjcOPGDXz22We4cOECfvrpJ8yePRvBwcFQUODXgYiIiIjoTVejkTx6faysrHDy5EnMnj0bAwYMwN27d2FgYICAgADMnj27Wu/Iq0jz5s2xZ88eTJkyBc7OzmjcuDFGjRqFL7/8ssZtBTvrQUtLq1ZxEBERERFR3ZAI1V3dg+j/y8/Ph7a2NvLy8pjkERERERHJkTx+a3N+HhERERER0VuESR4REREREdFbhEkeERERERHRW4RJHhERERER0VuESR4REREREdFbhElePQoLC4OLi0t9h0FERERERG8RvkJBjo4dO4aOHTvC19cXu3fvfmn9goICFBYWQk9P7zVEJz9ly7rOPnIVKhqa9R0ONQDTXJvUdwhEREREbwW+QqGB2bBhAz777DMcOXIEt27dqrSeIAgoKSmBhobGG5fgERERERFRw8YkT04KCgqwZcsWfPrpp/Dz80NsbKx4LDk5GRKJBL/++ivatGkDqVSK3377rdx0TYlEUm4zMzMTjx8+fBjt2rWDVCqFoaEhpk2bhpKSEvG4p6cngoKC8MUXX6Bx48YwMDBAWFiYTJyLFy+Go6Mj1NXVYWxsjHHjxqGgoKCO7goREREREb1uTPLkZOvWrbC1tYWNjQ0+/PBDfPvtt3hxJuy0adOwYMECZGRkwMnJqVwbt2/fFrfLly/D0tISnTt3BgDcvHkTPXr0QNu2bZGeno7Vq1djw4YNmDt3rkwbGzduhLq6OlJTU/HVV18hIiICBw4cEI8rKChg2bJl+Ouvv7Bx40YcOnQIX3zxRZXXVlhYiPz8fJmNiIiIiIgapkb1HcDbYsOGDfjwww8BAL6+vsjLy8Phw4fh6ekp1omIiEC3bt0qbcPAwADAs+mcffv2hba2NtauXQsAWLVqFYyNjbFixQpIJBLY2tri1q1bmDp1KmbNmgUFhWf5upOTE2bPng0AsLKywooVK5CYmCj2O2nSJLE/MzMzzJ07F5988glWrVpVaVyRkZEIDw+v+U0hIiIiIqLXjiN5cnDx4kUcP34cgwcPBgA0atQIAwcOxIYNG2Tqubm5Vau96dOn49ixY/jpp5+gqqoKAMjIyED79u0hkUjEeu7u7igoKMDff/8tlr04QmhoaIicnBxx/+DBg+jatSuaN28OTU1NfPTRR8jNzcWjR48qjSc0NBR5eXniduPGjWpdBxERERERvX4cyZODDRs2oKSkBEZGRmKZIAiQSqVYsWKFWKaurv7Str7//nt8/fXXSE5ORvPmzWsci5KSksy+RCJBaWkpACArKws9e/bEp59+innz5qFx48b47bffMGrUKBQVFUFNTa3CNqVSKaRSaY1jISIiIiKi149J3isqKSnBd999h+joaPzvf/+TORYQEIDNmzfD1ta2Wm0dO3YMo0ePxtq1a/H+++/LHLOzs8P27dshCII4mpeSkgJNTU20aNGiWu2fOnUKpaWliI6OFqd3bt26tVrnEhERERHRm4FJ3iv65ZdfcO/ePYwaNQra2toyx/r27YsNGzZg0aJFL23nzp076NOnDwYNGgQfHx/cuXMHAKCoqAh9fX2MGzcOS5YswWeffYYJEybg4sWLmD17NoKDg8WE7WUsLS1RXFyM5cuXw9/fHykpKVizZk3NL/r/C3bWq/W7O4iIiIiIqG7wmbxXtGHDBnh7e5dL8IBnSd7Jkydx5syZl7Zz4cIF/PPPP9i4cSMMDQ3FrW3btgCA5s2bY8+ePTh+/DicnZ3xySefYNSoUfjyyy+rHauzszMWL16MhQsXolWrVoiLi0NkZGT1L5aIiIiIiBo8ifDiOv9EL5Gfnw9tbW3k5eVxJI+IiIiISI7k8VubI3lERERERERvESZ5REREREREbxEmeURERERERG8RJnlERERERERvESZ5r5mnpycmTZok7puZmWHJkiXivkQiwc6dO+Xa54t9EBERERHR24vvyXsNAgMDcf/+/Wolb7dv34aurq5c+z9x4gTU1dXl2iYALE7PhYpGkdzbJaqtaa5N6jsEIiIionrHJK+BMTAwkHub+vr6cm+TiIiIiIgaJk7XbGCen66ZlZUFiUSChIQEeHl5QU1NDc7Ozjh27JjMOdu3b4eDgwOkUinMzMwQHR0tc/z56ZqCICAsLAwmJiaQSqUwMjJCUFDQ67g0IiIiIiJ6DZjkvQFmzJiBkJAQpKWlwdraGoMHD0ZJSQkA4NSpUxgwYAAGDRqEs2fPIiwsDDNnzkRsbGyFbW3fvh1ff/011q5di8zMTOzcuROOjo5V9l9YWIj8/HyZjYiIiIiIGiZO13wDhISEwM/PDwAQHh4OBwcHXL58Gba2tli8eDG6du2KmTNnAgCsra1x/vx5LFq0CIGBgeXays7OhoGBAby9vaGkpAQTExO0a9euyv4jIyMRHh4u9+siIiIiIiL540jeG8DJyUn829DQEACQk5MDAMjIyIC7u7tMfXd3d2RmZuLp06fl2urfvz8eP34Mc3NzjBkzBjt27BBHBSsTGhqKvLw8cbtx48arXhIREREREdURJnlvACUlJfFviUQCACgtLa1VW8bGxrh48SJWrVoFVVVVjBs3Dp07d0ZxcXGl50ilUmhpaclsRERERETUMDHJe8PZ2dkhJSVFpiwlJQXW1tZQVFSs8BxVVVX4+/tj2bJlSE5OxrFjx3D27NnXES4REREREdUxPpP3hps8eTLatm2LOXPmYODAgTh27BhWrFiBVatWVVg/NjYWT58+xXvvvQc1NTV8//33UFVVhampaY37DnbW46geEREREVEDw5G8N1zr1q2xdetWxMfHo1WrVpg1axYiIiIqXHQFAHR0dLB+/Xq4u7vDyckJBw8exM8//ww9Pb3XGzgREREREdUJiSAIQn0HQW+W/Px8aGtrIy8vjyN5RERERERyJI/f2hzJIyIiIiIieoswySMiIiIiInqLMMkjIiIiIiJ6izDJIyIiIiIieoswyasHnp6emDRp0iu3ExgYiICAgNfSFxERERERvRn4nrw6EhgYiI0bN5Yrz8zMlFsfS5cuBRdHJSIiIiKi5zHJq0O+vr6IiYmRKdPX13/ldp8+fQqJRAJtbe1XbutVLE7PhYpGUb3GQFRd01yb1HcIRERERK8Fp2vWIalUCgMDA5lNUVGxXL179+5h2LBh0NXVhZqaGrp37y4z4hcbGwsdHR3s2rUL9vb2kEqlyM7OLjdd8+HDhxg2bBg0NDRgaGiI6Ojocn1t2rQJbm5u0NTUhIGBAYYMGYKcnJw6uX4iIiIiInr9mOQ1AIGBgTh58iR27dqFY8eOQRAE9OjRA8XFxWKdR48eYeHChfjmm2/w119/oWnTpuXamTJlCg4fPoyffvoJ+/fvR3JyMv7880+ZOsXFxZgzZw7S09Oxc+dOZGVlITAwsK4vkYiIiIiIXhNO16xDv/zyCzQ0NMT97t27Y9u2bTJ1MjMzsWvXLqSkpKBDhw4AgLi4OBgbG2Pnzp3o378/gGfJ2apVq+Ds7FxhXwUFBdiwYQO+//57dO3aFQCwceNGtGjRQqbeyJEjxb/Nzc2xbNkytG3bFgUFBTKxPq+wsBCFhYXifn5+fnVvARERERERvWZM8uqQl5cXVq9eLe6rq6uXq5ORkYFGjRrhvffeE8v09PRgY2ODjIwMsUxZWRlOTk6V9nXlyhUUFRXJtNO4cWPY2NjI1Dt16hTCwsKQnp6Oe/fuobS0FACQnZ0Ne3v7CtuOjIxEeHj4S66WiIiIiIgaAk7XrEPq6uqwtLQUN0NDw1q3paqqColE8krxPHz4ED4+PtDS0kJcXBxOnDiBHTt2AACKiipfQCU0NBR5eXniduPGjVeKg4iIiIiI6g6TvHpmZ2eHkpISpKamimW5ubm4ePFipSNrFbGwsICSkpJMO/fu3cOlS5fE/QsXLiA3NxcLFixAp06dYGtrW61FV6RSKbS0tGQ2IiIiIiJqmJjk1TMrKyv07t0bY8aMwW+//Yb09HR8+OGHaN68OXr37l3tdjQ0NDBq1ChMmTIFhw4dwrlz5xAYGAgFhf/7iE1MTKCsrIzly5fj6tWr2LVrF+bMmVMXl0VERERERPWEz+Q1ADExMZg4cSJ69uyJoqIidO7cGXv27IGSklKN2lm0aBEKCgrg7+8PTU1NTJ48GXl5eeJxfX19xMbGYvr06Vi2bBlat26NqKgo9OrVq1ZxBzvrcVSPiIiIiKiBkQiCINR3EPRmyc/Ph7a2NvLy8pjkERERERHJkTx+a3O6JhERERER0VuESR4REREREdFbhEkeERERERHRW4RJHhERERER0VuESd47JjY2Fjo6OvUdBhERERER1REmeRUIDAyERCLBggULZMp37twJiUTyWmK4dOkS1NTU8MMPP8iUl5aWokOHDujXr99riYOIiIiIiN4sfE9eJVRUVLBw4UKMHTsWurq6r71/a2trLFiwAJ999hm8vLxgaGgIAIiOjhZfZF5TxcXFco1xcXouVDSK5NomEVF9mubapL5DICIiemUcyauEt7c3DAwMEBkZWWW93377DZ06dYKqqiqMjY0RFBSEhw8fAgBWrFiBVq1aiXXLRgLXrFkj08+XX35ZYdufffYZnJ2dMWbMGADAhQsXMGvWLKxbtw6NGzdGREQEWrRoAalUChcXF+zdu1c8NysrCxKJBFu2bIGHhwdUVFQQFxdXro9///0Xbm5u6NOnDwoLC6t/g4iIiIiIqEFiklcJRUVFzJ8/H8uXL8fff/9dYZ0rV/5fe/ceFlWdxgH8O9wGAWdQCRDzggqSgoB3RSOT3dFITdxSHzK7rJuJCV4QfSwvtS2al9QyrZ4N3EIhWzVTV9cLoCLeEFAECe+mIpsGI2WAzbt/FCdHFEGYGKbv53nO8zjnvPOb97xnHua8njO/OYPBgwdj5MiROH78OJKSkrB//35MmjQJABAcHIzc3Fz873//AwCkpqbCxcUFKSkpAH65spaeno4nnnjinuOrVCrExcVh3759+OSTT/Diiy9i9OjRGDZsGJYvX44lS5Zg8eLFOH78OHQ6HYYNG4aCggKjMWbOnInIyEjk5eVBp9MZbbt06RIGDBgAX19ffPnll1Cr1XWoGBERERERmQM2edUYMWIEAgICMHfu3Htuj42NRXh4OKKiouDl5YV+/fphxYoV+Ne//oWffvoJvr6+aN68OVJTUwEAKSkpmDZtmvL48OHDqKioQL9+/e6bQ9u2bbFs2TJMmDABV69exfLlywEAixcvRkxMDEaPHo1OnTph4cKFCAgIwLJly4yeHxUVhbCwMHh6eiq3fAJAfn4+goKCoNPpEBcXB2tr6/vmUFZWBr1eb7QQEREREZF5YpP3AAsXLsSaNWuQl5dXZVt2djbi4+Ph5OSkLDqdDgaDAefOnYNKpcLjjz+OlJQUFBcXIzc3FxMnTkRZWRlOnTqF1NRU9OzZEw4ODtXm8NJLL6Fly5Z4/fXXodFooNfrceXKFQQFBRnFBQUFVcmzR48eVca7desWBgwYgLCwMCxfvvyBk8nExsZCq9UqS+vWrauNJyIiIiKihsMm7wEef/xx6HQ6zJo1q8q20tJSvPrqq8jKylKW7OxsFBQUoEOHDgCAJ554AikpKdi3bx8CAwOh0WiUxi81NRXBwcE1ysPGxgY2NrWfJ8fR0bHKOrVajZCQEGzZsgWXL19+4BizZs1CSUmJsly6dKnWeRARERER0e+DTV4NLFiwAF9//TXS09ON1nfr1g25ubno2LFjlcXOzg7Ab9/LW79+vfLduyeeeAK7du1CWlrafb+PVx2NRgMPDw+kpaUZrU9LS0Pnzp0f+HwrKyt89tln6N69OwYOHIgrV65UG69Wq6HRaIwWIiIiIiIyT2zyasDPzw/h4eFYsWKF0fqYmBgcOHAAkyZNQlZWFgoKCvDVV18pE68AQNeuXdGsWTOsXbvWqMnbtGkTysrKqtxyWVPR0dFYuHAhkpKSkJ+fj5kzZyIrKwuRkZE1er61tTUSEhLg7++PJ598EoWFhQ+VBxERERERmRf+Tl4NvfXWW0hKSjJa17VrV6SmpmL27NkYMGAARAQdOnTAqFGjlBiVSoUBAwZg69at6N+/v/I8jUaDTp063fN2ypqYPHkySkpKMG3aNBQVFaFz587YvHkzvLy8ajyGjY0N1q1bh1GjRuHJJ59ESkoKXF1da/z8qf4teFWPiIiIiMjMqEREGjoJalz0ej20Wi1KSkrY5BERERER1aP6ONfm7ZpEREREREQWhE0eERERERGRBWGTR0REREREZEHY5BEREREREVkQNnlEREREREQWhE1eA1GpVNUu8+bNa+gUiYiIiIioEeLv5DWQq1evKv9OSkrCnDlzkJ+fr6xzcnJqiLRqZWn2ddg7lTd0GkREZOZmBro0dApERH8ovJLXQNzd3ZVFq9VCpVIZrUtMTMRjjz0Ge3t7+Pj44MMPP1Se+/LLL6Nr164oKysDAJSXlyMwMBAvvPCCEhMTEwNvb284ODigffv2ePPNN1FRUaFsz87OxsCBA9G0aVNoNBp0794dR48e/f0KQEREREREJsEreWYoISEBc+bMwQcffIDAwEBkZmZi/PjxcHR0xLhx47BixQr4+/tj5syZeO+99zB79mwUFxfjgw8+UMZo2rQp4uPj4eHhgRMnTmD8+PFo2rQpZsyYAQAIDw9HYGAgVq1aBWtra2RlZcHW1rahdpmIiIiIiOoJmzwzNHfuXCxZsgRhYWEAAE9PT+Tm5uKjjz7CuHHj4OTkhM8//xzBwcFo2rQpli1bhuTkZGg0GmWMN954Q/l3u3btMH36dCQmJipN3sWLFxEdHQ0fHx8AgJeX133zKSsrU64aAoBer6/X/SUiIiIiovrDJs/M/PDDDzhz5gxeeeUVjB8/Xll/+/ZtaLVa5XHfvn0xffp0vP3224iJiUH//v2NxklKSsKKFStw5swZlJaW4vbt20ZN4NSpU/HXv/4Vn332GUJCQvDss8+iQ4cO98wpNjYW8+fPr+c9JSIiIiIiU+B38sxMaWkpAOCTTz5BVlaWsuTk5ODgwYNKnMFgQFpaGqytrXH69GmjMdLT0xEeHo6nnnoKW7ZsQWZmJmbPno3y8t8mSZk3bx5OnjyJ0NBQ7NmzB507d8bGjRvvmdOsWbNQUlKiLJcuXTLBnhMRERERUX3glTwz4+bmBg8PD5w9exbh4eH3jVu0aBFOnTqF1NRU6HQ6xMXF4aWXXgIAHDhwAG3btsXs2bOV+AsXLlQZw9vbG97e3pgyZQrGjBmDuLg4jBgxokqcWq2GWq2uh70jIiIiIiJTY5NnhubPn4/JkydDq9Vi8ODBKCsrw9GjR/H9999j6tSpyMzMxJw5c/Dll18iKCgIS5cuRWRkJIKDg9G+fXt4eXnh4sWLSExMRM+ePbF161ajq3S3bt1CdHQ0/vKXv8DT0xPffvstjhw5gpEjRzbgXhMRERERUX1QiYg0dBJ/dPHx8YiKikJxcbGybu3atVi0aBFyc3Ph6OgIPz8/REVFYciQIejevTv69++Pjz76SIkfPnw4vvvuO+zduxfW1taYMWMGPv30U5SVlSE0NBR9+vTBvHnzUFxcjPLycowbNw5paWm4du0aXFxcEBYWhkWLFsHe3v6B+er1emi1WpSUlBh9z4+IiIiIiOqmPs612eRRrbHJIyIiIiIyjfo41+bEK0RERERERBaETR4REREREZEFYZNHRERERERkQdjkERERERERWRA2eURERERERBaETV49i4+Ph7Ozs/J43rx5CAgIMIqZN28e3NzcoFKpsGnTJpPm065dOyxbtsykr0FEREREROaDP4Z+l8LCQrzzzjvYunUrLl++DFdXVwQEBCAqKgqDBg2q9XjTp0/H66+/rjzOy8vD/PnzsXHjRvTp0wfNmjWrz/SrOHLkCBwdHU0y9tLs67B3KjfJ2EREREREv6eZgS4NnUK9YZN3h/PnzyMoKAjOzs5YtGgR/Pz8UFFRgR07diAiIgKnTp2q9ZhOTk5wcnJSHp85cwbALz9erlKpHjrXiooK2NraPjDukUceeejXICIiIiKixoe3a95h4sSJUKlUOHz4MEaOHAlvb2906dIFU6dOxcGDBwEAS5cuhZ+fHxwdHdG6dWtMnDgRpaWl9x3zzts1582bh6FDhwIArKyslCbPYDDgrbfewqOPPgq1Wo2AgABs375dGeP8+fNQqVRISkpCcHAw7O3tkZCQgBdffBHPPPMMFi9ejJYtW6JFixaIiIhARUWF8ty7b9esbf5ERERERNS4sMn71Y0bN7B9+3ZERETc8/bGyu/ZWVlZYcWKFTh58iTWrFmDPXv2YMaMGTV6jenTpyMuLg4AcPXqVVy9ehUAsHz5cixZsgSLFy/G8ePHodPpMGzYMBQUFBg9f+bMmYiMjEReXh50Oh0AIDk5GWfOnEFycjLWrFmD+Ph4xMfH3zeHh8m/rKwMer3eaCEiIiIiIvPEJu9Xp0+fhojAx8en2rioqCgMHDgQ7dq1w5NPPom///3v+OKLL2r0Gk5OTkqz6O7uDnd3dwDA4sWLERMTg9GjR6NTp05YuHAhAgICqkyYEhUVhbCwMHh6eqJly5YAgGbNmuGDDz6Aj48Pnn76aYSGhmL37t31mn9sbCy0Wq2ytG7dukb7S0REREREvz82eb8SkRrF7dq1C4MGDUKrVq3QtGlTjB07FtevX8ePP/74UK+r1+tx5coVBAUFGa0PCgpCXl6e0boePXpUeX6XLl1gbW2tPG7ZsiWKiorqNf9Zs2ahpKREWS5dulTT3SMiIiIiot8Zm7xfeXl5QaVSVTu5yvnz5/H000+ja9eu+Pe//42MjAysXLkSAFBebvpZJu91G+ndk6+oVCoYDIZ7Pv9h81er1dBoNEYLERERERGZJzZ5v2revDl0Oh1WrlyJH374ocr24uJiZGRkwGAwYMmSJejTpw+8vb1x5cqVOr2uRqOBh4cH0tLSjNanpaWhc+fOdRr7bqbIn4iIiIiIzAt/QuEOK1euRFBQEHr16oW33noLXbt2xe3bt7Fz506sWrUKiYmJqKiowPvvv4+hQ4ciLS0Nq1evrvPrRkdHY+7cuejQoQMCAgIQFxeHrKwsJCQk1MNe/aZjx471mv9U/xa8qkdEREREZGZ4Je8O7du3x7FjxzBw4EBMmzYNvr6++NOf/oTdu3dj1apV8Pf3x9KlS7Fw4UL4+voiISEBsbGxdX7dyZMnY+rUqZg2bRr8/Pywfft2bN68GV5eXvWwV78xVf5ERERERGQ+VFLTGUeIfqXX66HValFSUsIreURERERE9ag+zrV5uybVWuX/C/D38oiIiIiI6lflOXZdrsWxyaNau379OgDw9/KIiIiIiEzk5s2b0Gq1D/VcNnlUa82bNwcAXLx48aHfeFQ9vV6P1q1b49KlS7wl1gRYX9NjjU2PNTY91tj0WGPTY41Nr75rLCK4efMmPDw8HnoMNnlUa1ZWv8zXo9Vq+cfCxPi7hKbF+poea2x6rLHpscamxxqbHmtsevVZ47peSOHsmkRERERERBaETR4REREREZEFYZNHtaZWqzF37lyo1eqGTsViscamxfqaHmtseqyx6bHGpscamx5rbHrmWGP+Th4REREREZEF4ZU8IiIiIiIiC8Imj4iIiIiIyIKwySMiIiIiIrIgbPKIiIiIiIgsCJs8qpWVK1eiXbt2sLe3R+/evXH48OGGTsksxMbGomfPnmjatClcXV3xzDPPID8/3yjmp59+QkREBFq0aAEnJyeMHDkS165dM4q5ePEiQkND4eDgAFdXV0RHR+P27dtGMSkpKejWrRvUajU6duyI+Pj4KvlY+nFasGABVCoVoqKilHWsb91dvnwZzz//PFq0aIEmTZrAz88PR48eVbaLCObMmYOWLVuiSZMmCAkJQUFBgdEYN27cQHh4ODQaDZydnfHKK6+gtLTUKOb48eMYMGAA7O3t0bp1a7z77rtVclm/fj18fHxgb28PPz8/bNu2zTQ7/Tv6+eef8eabb8LT0xNNmjRBhw4d8Pbbb+PO+c9Y49rZu3cvhg4dCg8PD6hUKmzatMlouznVsya5mKPqalxRUYGYmBj4+fnB0dERHh4eeOGFF3DlyhWjMVjj6j3ofXynCRMmQKVSYdmyZUbrWePq1aTGeXl5GDZsGLRaLRwdHdGzZ09cvHhR2d7ozjOEqIYSExPFzs5OPv30Uzl58qSMHz9enJ2d5dq1aw2dWoPT6XQSFxcnOTk5kpWVJU899ZS0adNGSktLlZgJEyZI69atZffu3XL06FHp06eP9OvXT9l++/Zt8fX1lZCQEMnMzJRt27aJi4uLzJo1S4k5e/asODg4yNSpUyU3N1fef/99sba2lu3btysxln6cDh8+LO3atZOuXbtKZGSksp71rZsbN25I27Zt5cUXX5RDhw7J2bNnZceOHXL69GklZsGCBaLVamXTpk2SnZ0tw4YNE09PT7l165YSM3jwYPH395eDBw/Kvn37pGPHjjJmzBhle0lJibi5uUl4eLjk5OTIunXrpEmTJvLRRx8pMWlpaWJtbS3vvvuu5ObmyhtvvCG2trZy4sSJ36cYJvLOO+9IixYtZMuWLXLu3DlZv369ODk5yfLly5UY1rh2tm3bJrNnz5YNGzYIANm4caPRdnOqZ01yMUfV1bi4uFhCQkIkKSlJTp06Jenp6dKrVy/p3r270RiscfUe9D6utGHDBvH39xcPDw957733jLaxxtV7UI1Pnz4tzZs3l+joaDl27JicPn1avvrqK6PP9sZ2nsEmj2qsV69eEhERoTz++eefxcPDQ2JjYxswK/NUVFQkACQ1NVVEfvkgtLW1lfXr1ysxeXl5AkDS09NF5Jc/QFZWVlJYWKjErFq1SjQajZSVlYmIyIwZM6RLly5GrzVq1CjR6XTKY0s+Tjdv3hQvLy/ZuXOnBAcHK00e61t3MTEx0r9///tuNxgM4u7uLosWLVLWFRcXi1qtlnXr1omISG5urgCQI0eOKDH/+c9/RKVSyeXLl0VE5MMPP5RmzZopNa987U6dOimPn3vuOQkNDTV6/d69e8urr75at51sYKGhofLyyy8brQsLC5Pw8HA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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "\n", + "df_estados.plot(kind=\"barh\", color=\"Skyblue\", figsize=(9,4))\n", + "plt.title(\"Estados com mais individuos nesta pesquisa\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Qcmo9loPjEM6" + }, + "source": [ + "# Conceito da criação de duas tabelas em uma linha de codigo\n", + "grafico incompleto, essa parte do codigo é apenas para o conceito" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "c9zd4j1bjEM6" + }, + "source": [ + "### Criando mais duas tabelas, casos gerais de 2015 e 2016\n", + "#### Filtrando os casos gerais de 2015 e 2016 e mantendo as colunas \"Ano\", \"Medida\" e \"DescricaoEstado\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "s7C6LQ1ljEM6" + }, + "outputs": [], + "source": [ + "\n", + "casosgerais = df.loc[df[\"Ano\"].isin([2015, 2016]), [\"Ano\", \"DescricaoEstado\", \"Medida\"]]\n", + "casosgerais2015=casosgerais.loc[casosgerais[\"Ano\"]==2015]\n", + "casosgerais2016=casosgerais.loc[casosgerais[\"Ano\"]==2016]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "91OXzM5jjEM6" + }, + "source": [ + "### Verificando as tabelas filtradas" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "PCXJuXuvjEM6", + "outputId": "27b89034-3cc7-400a-ee54-7049659e716c" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoDescricaoEstadoMedida
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22015ConnecticutHigh blood pressure among adults aged >=18 Years
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8096842015District of CHigh blood pressure among adults aged >=18 Years
8097122015North CarolinTaking medicine for high blood pressure contro...
8098952015North CarolinCholesterol screening among adults aged >=18 Y...
8100212015North CarolinHigh blood pressure among adults aged >=18 Years
8100332015North CarolinHigh cholesterol among adults aged >=18 Years ...
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AnoDescricaoEstadoMedida
62016IllinoisArthritis among adults aged >=18 Years
82016AlabamaArthritis among adults aged >=18 Years
92016FloridaStroke among adults aged >=18 Years
102016IndianaObesity among adults aged >=18 Years
132016TexasMammography use among women aged 50–74 Years
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8100982016CaliforniaBinge drinking among adults aged >=18 Years
8100992016CaliforniaCurrent smoking among adults aged >=18 Years
8101002016HawaiiCoronary heart disease among adults aged >=18 ...
8101012016CaliforniaMental health not good for >=14 days among adu...
8101022016TexasAll teeth lost among adults aged >=65 Years
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" + ], + "text/plain": [ + " Ano DescricaoEstado \\\n", + "6 2016 Illinois \n", + "8 2016 Alabama \n", + "9 2016 Florida \n", + "10 2016 Indiana \n", + "13 2016 Texas \n", + "... ... ... \n", + "810098 2016 California \n", + "810099 2016 California \n", + "810100 2016 Hawaii \n", + "810101 2016 California \n", + "810102 2016 Texas \n", + "\n", + " Medida \n", + "6 Arthritis among adults aged >=18 Years \n", + "8 Arthritis among adults aged >=18 Years \n", + "9 Stroke among adults aged >=18 Years \n", + "10 Obesity among adults aged >=18 Years \n", + "13 Mammography use among women aged 50–74 Years \n", + "... ... \n", + "810098 Binge drinking among adults aged >=18 Years \n", + "810099 Current smoking among adults aged >=18 Years \n", + "810100 Coronary heart disease among adults aged >=18 ... \n", + "810101 Mental health not good for >=14 days among adu... \n", + "810102 All teeth lost among adults aged >=65 Years \n", + "\n", + "[694079 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(casosgerais2016)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "zsZIkE79jEM7", + "outputId": "b66947ac-f1b3-4230-a1a1-28270f3fd5c4" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoDescricaoEstadoMedida
02015IndianaHigh blood pressure among adults aged >=18 Years
12015CaliforniaHigh blood pressure among adults aged >=18 Years
22015ConnecticutHigh blood pressure among adults aged >=18 Years
32015CaliforniaHigh blood pressure among adults aged >=18 Years
42015FloridaCholesterol screening among adults aged >=18 Y...
............
8100982016CaliforniaBinge drinking among adults aged >=18 Years
8100992016CaliforniaCurrent smoking among adults aged >=18 Years
8101002016HawaiiCoronary heart disease among adults aged >=18 ...
8101012016CaliforniaMental health not good for >=14 days among adu...
8101022016TexasAll teeth lost among adults aged >=65 Years
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810103 rows × 3 columns

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" + ], + "text/plain": [ + " Ano DescricaoEstado \\\n", + "0 2015 Indiana \n", + "1 2015 California \n", + "2 2015 Connecticut \n", + "3 2015 California \n", + "4 2015 Florida \n", + "... ... ... \n", + "810098 2016 California \n", + "810099 2016 California \n", + "810100 2016 Hawaii \n", + "810101 2016 California \n", + "810102 2016 Texas \n", + "\n", + " Medida \n", + "0 High blood pressure among adults aged >=18 Years \n", + "1 High blood pressure among adults aged >=18 Years \n", + "2 High blood pressure among adults aged >=18 Years \n", + "3 High blood pressure among adults aged >=18 Years \n", + "4 Cholesterol screening among adults aged >=18 Y... \n", + "... ... \n", + "810098 Binge drinking among adults aged >=18 Years \n", + "810099 Current smoking among adults aged >=18 Years \n", + "810100 Coronary heart disease among adults aged >=18 ... \n", + "810101 Mental health not good for >=14 days among adu... \n", + "810102 All teeth lost among adults aged >=65 Years \n", + "\n", + "[810103 rows x 3 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(casosgerais)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "7QhRtUMSjEM7" + }, + "source": [ + "## Criando novas variaveis\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "8qVzKqLijEM7" + }, + "outputs": [], + "source": [ + "CASOSGERAIS2015=casosgerais2015\n", + "CASOSGERAIS2016=casosgerais2016\n", + "CASOSGERAIS=casosgerais\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ga1MQrdujEM7" + }, + "source": [ + "## CONCEITO de grafico lado a lado\n", + "Alternando para 2,1 deixa o grafico em cima e embaixo" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "v4wOK5rFjEM7", + "outputId": "27f65b98-2a62-4b10-f006-c99180087204" + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#fazendo um grafico lado a lado\n", + "fig, (ax1, ax2)=plt.subplots(1,2, figsize=(14,5))\n", + "CASOSGERAIS2015.plot(kind=\"hist\", color=\"Skyblue\",ax=ax1)\n", + "ax1.set_title(\"20 Estados com mais casos gerais em 2015\")\n", + "ax1.set_xlabel(\"Ano\")\n", + "\n", + "\n", + "CASOSGERAIS2016.plot(kind=\"hist\", color=\"purple\",ax=ax2)\n", + "ax2.set_title(\"20 Estados com mais casos gerais em 2016\")\n", + "ax2.set_xlabel(\"Ano\")\n", + "\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sTyCZfOgjEM7" + }, + "source": [ + "## Verificando a quantidade de casos por ano nos Estados Americanos" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "et__adW5jEM7", + "outputId": "b187ad1f-50d3-4de3-bc5b-6e14ae8b4b91" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Ano\n", + "2016 694079\n", + "2015 116024\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 269, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#contagem de valores na variavel estadoscasos\n", + "\n", + "ESTADOSCASOS=df[\"Ano\"].value_counts()\n", + "ESTADOSCASOS" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Fw87MCHEjEM7" + }, + "source": [ + "## comparando casos de 2015 e 2016 através de um grafico" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "EFhLYGbJjEM7", + "outputId": "b56a46af-0634-4392-ef41-e64000479844" + }, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "#COMPARANDO OS CASOS DE 2015 E 2016\n", + "ESTADOSCASOS.plot(kind=\"barh\", color=\"Skyblue\", figsize=(9,4))\n", + "plt.title(\"Comparação de casos entre os anos de 2015 e 2016\")\n", + "plt.tight_layout()\n", + "plt.xticks(rotation=360)\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "EPpEvUNKjEM7" + }, + "source": [ + "## comparar as tendências temporais da taxa de pressão alta e triagem de colesterol ao longo dos anos.\n", + "#### (\"High blood pressure among adults aged >=18 Years \",\"Cholesterol screening among adults aged >=18 Years ) na pesquisa" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pVx1288qjEM8" + }, + "source": [ + "# Verificando quais são os motivos dos casos e selecionando os 2 primeiros para uma analise brevia\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "yduKGUmdjEM8", + "outputId": "f6baa8be-bd7b-49e5-c257-f59d9eec0715" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Medida\n", + "High blood pressure among adults aged >=18 Years 29006\n", + "Cholesterol screening among adults aged >=18 Years 29006\n", + "Arthritis among adults aged >=18 Years 29006\n", + "Stroke among adults aged >=18 Years 29006\n", + "Obesity among adults aged >=18 Years 29006\n", + "Diagnosed diabetes among adults aged >=18 Years 29006\n", + "Cancer (excluding skin cancer) among adults aged >=18 Years 29006\n", + "Binge drinking among adults aged >=18 Years 29006\n", + "Mental health not good for >=14 days among adults aged >=18 Years 29006\n", + "Chronic obstructive pulmonary disease among adults aged >=18 Years 29006\n", + "Coronary heart disease among adults aged >=18 Years 29006\n", + "Current smoking among adults aged >=18 Years 29006\n", + "No leisure-time physical activity among adults aged >=18 Years 29006\n", + "Physical health not good for >=14 days among adults aged >=18 Years 29006\n", + "Current asthma among adults aged >=18 Years 29006\n", + "Sleeping less than 7 hours among adults aged >=18 Years 29006\n", + "Chronic kidney disease among adults aged >=18 Years 29006\n", + "Visits to dentist or dental clinic among adults aged >=18 Years 29006\n", + "High cholesterol among adults aged >=18 Years who have been screened in the past 5 Years 29006\n", + "Taking medicine for high blood pressure control among adults aged >=18 Years with high blood pressure 29006\n", + "Visits to doctor for routine checkup within the past Year among adults aged >=18 Years 29006\n", + "Current lack of health insurance among adults aged 18–64 Years 28973\n", + "Papanicolaou smear use among adult women aged 21–65 Years 28912\n", + "Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 Years 28847\n", + "Mammography use among women aged 50–74 Years 28727\n", + "All teeth lost among adults aged >=65 Years 28601\n", + "Older adult men aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening 28464\n", + "Older adult women aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years 28453\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 271, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "contagem=df[\"Medida\"].value_counts()\n", + "contagem.head(50)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iF-c-RJAjEM8" + }, + "source": [ + "Essa parte do codigo é responsavel por filtrar na coluna medida os motivos selecionados" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "Ofn1zb23jEM8" + }, + "outputs": [], + "source": [ + "\n", + "\n", + "dffiltro=df[df[\"Medida\"].isin([\"High blood pressure among adults aged >=18 Years \",\"Cholesterol screening among adults aged >=18 Years \"])]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DA129h_ljEM8" + }, + "source": [ + "## Criando uma nova planilha e criando uma nova colunaa contendo os valores para a pesquisa\n", + "\n", + "Porém como da para ver, os dados estão vazios" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "P9MOkxopjEM8", + "outputId": "4fddff47-698f-47d0-b2ff-d165af5c2095" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoMedidaData_Value
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Ano, Medida, Data_Value]\n", + "Index: []" + ] + }, + "execution_count": 273, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "df_grouped = dffiltro.groupby(['Ano', 'Medida'])['Data_Value'].mean().reset_index()\n", + "df_grouped" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GkYDILpXjEM8" + }, + "source": [ + "## Analisando os motivos\n", + "como essa linha de codigo conseguimos ver que existem espaços vazios, e por isso está dando como vazio" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "V1ctCzS_jEM8", + "outputId": "543d2a1d-3b80-4c16-8904-c78cba5d65ba" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['High blood pressure among adults aged >=18 Years'\n", + " 'Cholesterol screening among adults aged >=18 Years'\n", + " 'Arthritis among adults aged >=18 Years'\n", + " 'Stroke among adults aged >=18 Years'\n", + " 'Obesity among adults aged >=18 Years'\n", + " 'Mammography use among women aged 50–74 Years'\n", + " 'All teeth lost among adults aged >=65 Years'\n", + " 'Diagnosed diabetes among adults aged >=18 Years'\n", + " 'Binge drinking among adults aged >=18 Years'\n", + " 'Cancer (excluding skin cancer) among adults aged >=18 Years'\n", + " 'Mental health not good for >=14 days among adults aged >=18 Years'\n", + " 'Chronic obstructive pulmonary disease among adults aged >=18 Years'\n", + " 'Current smoking among adults aged >=18 Years'\n", + " 'Coronary heart disease among adults aged >=18 Years'\n", + " 'Papanicolaou smear use among adult women aged 21–65 Years'\n", + " 'Current asthma among adults aged >=18 Years'\n", + " 'Sleeping less than 7 hours among adults aged >=18 Years'\n", + " 'Visits to dentist or dental clinic among adults aged >=18 Years'\n", + " 'Chronic kidney disease among adults aged >=18 Years'\n", + " 'Current lack of health insurance among adults aged 18–64 Years'\n", + " 'Taking medicine for high blood pressure control among adults aged >=18 Years with high blood pressure'\n", + " 'High cholesterol among adults aged >=18 Years who have been screened in the past 5 Years'\n", + " 'Visits to doctor for routine checkup within the past Year among adults aged >=18 Years'\n", + " 'Older adult women aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening, and Mammogram past 2 Years'\n", + " 'Physical health not good for >=14 days among adults aged >=18 Years'\n", + " 'Fecal occult blood test, sigmoidoscopy, or colonoscopy among adults aged 50–75 Years'\n", + " 'Older adult men aged >=65 Years who are up to date on a core set of clinical preventive services: Flu shot past Year, PPV shot ever, Colorectal cancer screening'\n", + " 'No leisure-time physical activity among adults aged >=18 Years']\n" + ] + } + ], + "source": [ + "#escrever o nome dos valores unicos de df\n", + "#se reapara que tem valores em branco\n", + "print(df[\"Medida\"].unique())" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ng5N57kwjEM8" + }, + "source": [ + "# Tipo simples de tratamento de dados\n", + "## O Metodo str.strip remove os espaços vazios de uma string\n", + "O Metodo isin da um true para cada item no filtro, assim realizando a filtragem" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "KMIHJyoGjEM9" + }, + "outputs": [], + "source": [ + "#o metodo strip reemove espaços em branco\n", + "#e o isin da um true para cada linha que conter o especificado\n", + "#tipo simples de tratamento de dados\n", + "dffiltro = df[df[\"Medida\"].str.strip().isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "])]\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "_UWOoVAijEM_" + }, + "source": [ + "## Verificando os dados filtrados para 2015" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "0mIi0AG0jEM_", + "outputId": "6301e289-dde2-4060-8809-0878855201d6" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Medida\n", + "High blood pressure among adults aged >=18 Years 29006\n", + "Cholesterol screening among adults aged >=18 Years 29006\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 276, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "dffiltro[dffiltro[\"Ano\"] == 2015][\"Medida\"].value_counts()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HON7R8w8jEM_" + }, + "source": [ + "## Verificando os dados filtrados para 2016\n", + "como da para ver, não temos casos em 2016" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "DxFUa4AyjEM_", + "outputId": "b536542b-0d76-4cae-e7f9-f741e97a80d0" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Series([], Name: count, dtype: int64)" + ] + }, + "execution_count": 277, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "dffiltro[dffiltro[\"Ano\"] == 2016][\"Medida\"].value_counts()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "9DrDPlptjENA", + "outputId": "e63db6b2-bb41-4296-cece-2a4ce0a25828" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ano\n", + "2015 58012\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "print(dffiltro[\"Ano\"].value_counts())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "2TzRlOWhjENA", + "outputId": "a912cd6c-8fa3-4d10-bdfd-3b23ec7411f2" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [Ano, SiglaEstado, DescricaoEstado, NomeCidade, NivelGeografico, FonteDados, Categoria, IDUnico, Medida, UnidadeValorDados, DataValueTypeID, Data_Value_Type, Data_Value, Low_Confidence_Limit, LimiteSuperiorConfianca, SimboloNotaRodapeDados, NotaRodapeDados, ContagemPopulacional, Geolocalizacao, IDCategoria, IDMedida, FIPSCidade, FIPSTrato, TextoCurtoPergunta]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]\n" + ] + } + ], + "source": [ + "print(df[(df[\"Ano\"] == 2016) & (df[\"Medida\"].isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "]))])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Bwu2sXY_jENA" + }, + "source": [ + "verificando os 50 primeiros para vermos se encontramos um caso de 2015 (basta alternar o numero 50 para um maior para vizualizar mais dados)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "LElMGYd0jENA", + "outputId": "fc438d86-7191-436e-d5b8-724f467f0740" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoSiglaEstadoDescricaoEstadoNomeCidadeNivelGeograficoFonteDadosCategoriaIDUnicoMedidaUnidadeValorDados...LimiteSuperiorConfiancaSimboloNotaRodapeDadosNotaRodapeDadosContagemPopulacionalGeolocalizacaoIDCategoriaIDMedidaFIPSCidadeFIPSTratoTextoCurtoPergunta
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [Ano, SiglaEstado, DescricaoEstado, NomeCidade, NivelGeografico, FonteDados, Categoria, IDUnico, Medida, UnidadeValorDados, DataValueTypeID, Data_Value_Type, Data_Value, Low_Confidence_Limit, LimiteSuperiorConfianca, SimboloNotaRodapeDados, NotaRodapeDados, ContagemPopulacional, Geolocalizacao, IDCategoria, IDMedida, FIPSCidade, FIPSTrato, TextoCurtoPergunta]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dffiltro_2016 = df.loc[(df[\"Ano\"] == 2016) & (df[\"Medida\"].isin([\n", + " \"High blood pressure among adults aged >=18 Years\",\n", + " \"Cholesterol screening among adults aged >=18 Years\"\n", + "]))]\n", + "display(dffiltro.head(0))" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t2gjcQrvjENA" + }, + "source": [ + "## Recriando a tabela anterior após ao tratamento de dados e agora com valore" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "iRFr6_o9jENA", + "outputId": "d185e312-efd6-4c0c-dcef-ac0a7e1aa460" + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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AnoMedidaData_Value
02015Cholesterol screening among adults aged >=18 Y...72.657522
12015High blood pressure among adults aged >=18 Years30.491621
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" + ], + "text/plain": [ + " Ano Medida Data_Value\n", + "0 2015 Cholesterol screening among adults aged >=18 Y... 72.657522\n", + "1 2015 High blood pressure among adults aged >=18 Years 30.491621" + ] + }, + "execution_count": 281, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#recriando a tabela anterior após ao tratamento de dados\n", + "DF_grouped=dffiltro.groupby([\"Ano\", \"Medida\"])[\"Data_Value\"].mean().reset_index()\n", + "DF_grouped" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DZM4vMcBjENA" + }, + "source": [ + "Agora com essa tabela é possivel criar uma grafico, em cima, usando o seaborn e omatplot" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "b9pWtWKHjENA", + "outputId": "523d8c98-5f22-41f3-d5cb-4166a6b2d7e3" + }, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "#estabelecendo tamanho da figura\n", + "plt.figure(figsize=(10, 5))\n", + "#grafico de barras seaborn (data é de onde vem os dados) x e y estabelecem os eixos\n", + "#hue='Medida': Cria barras separadas para cada categoria da variável 'Medida', permitindo comparar as médias entre diferentes medidas.\n", + "sns.barplot(data=DF_grouped, x='Ano', y='Data_Value', hue='Medida')\n", + "\n", + "#definição rotulos e configurações visuais do grafico\n", + "plt.title('Média de Triagem de Colesterol e Pressão Alta (2015 e 2016)')\n", + "plt.ylabel('Valor Médio (%)')\n", + "plt.xlabel('Ano')\n", + "#definindo a legenda\n", + "plt.legend(title='Medida')\n", + "#ajusatando o grafico\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + } + ], + "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": "3.12.6" + }, + "colab": { + "provenance": [], + "include_colab_link": true + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file From e7de906ba470fab0b69122d85816b5d74f4dcafc Mon Sep 17 00:00:00 2001 From: Lyanan85 Date: Sun, 20 Oct 2024 12:40:46 -0300 Subject: [PATCH 04/23] Delete Gen 1/English directory --- Gen 1/English/106 - 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ARTICUNO - DB09.pk1 delete mode 100644 Gen 1/English/145 - ZAPDOS - 726D.pk1 delete mode 100644 Gen 1/English/146 - MOLTRES - 4F86.pk1 delete mode 100644 Gen 1/English/150 - MEWTWO - 7348.pk1 diff --git a/Gen 1/English/106 - HITMONLEE - 60C7.pk1 b/Gen 1/English/106 - HITMONLEE - 60C7.pk1 deleted file mode 100644 index cfaf3dea29e1f14c02f5b6a4f39b8af7ae9ccc95..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69 zcmZS7{;$p8C&$3Zs4J1cz@Qw?kXgY12m5Q}G~gT%qrZRM#$^Fuq4ti+J$=31EiC~7 E0Dy1~H2?qr diff --git a/Gen 1/English/107 - HITMONCHAN - 9BD9.pk1 b/Gen 1/English/107 - HITMONCHAN - 9BD9.pk1 deleted file mode 100644 index d48c097846f2c1156edaed1b63d148b930009f90..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69 zcmZS7`LDy^BgeqVsLPVbz@Qw?kXgY12Xg=T<=`9;qrZRM#$^Fuq4ti+J$=1R?G3#F E0CT1e9RL6T diff --git a/Gen 1/English/133 - EEVEE - 73B6.pk1 b/Gen 1/English/133 - EEVEE - 73B6.pk1 deleted file mode 100644 index db5de31762ae3af6d39e4ecf679fcf61db4d89f0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69 zcmZQf`=7?(!~g`kiZTog%Ha&QoFE_wdz@Qw?kXgY12hn}XatsV|Km`^+ti_Bm)C0ldfPQ1A}rnL-RETIPlw~EXTkg2UOt3U;-qy`uo>yTowS9Z)lm= M*WA!Fc}8~t0Q7zk{{R30 diff --git a/Gen 1/English/144 - ARTICUNO - DB09.pk1 b/Gen 1/English/144 - ARTICUNO - DB09.pk1 deleted file mode 100644 index 0e9a84582830c95f15d28e32dc9611ab99c90bdc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69 zcmZSd`tQZC)QCZniP^!5fk8Q(DJhBp4t~y5=7MuTjQ;+088T3-MN F002BR5Yhku From bf8a930b8bff361cd75420a58fd18225a101ca65 Mon Sep 17 00:00:00 2001 From: Lyanan85 Date: Sun, 20 Oct 2024 12:40:53 -0300 Subject: [PATCH 05/23] Delete Gen 1 directory --- ...343\202\246\343\203\204\343\203\274 - A4BB.pk1" | Bin 59 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 "Gen 1/Japanese/150 - \343\203\237\343\203\245\343\202\246\343\203\204\343\203\274 - A4BB.pk1" diff --git "a/Gen 1/Japanese/150 - \343\203\237\343\203\245\343\202\246\343\203\204\343\203\274 - A4BB.pk1" "b/Gen 1/Japanese/150 - \343\203\237\343\203\245\343\202\246\343\203\204\343\203\274 - A4BB.pk1" deleted file mode 100644 index 7b33105421d19fc3908493238479908ac7f36960..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 59 zcmZQ<{@={-#En5hg1IrSAal(dwytvwaImC9giB5Y&ShY5bZlA19x!iR)5OOC0Mbqm ABLDyZ From 0c5bc9ed51b348cbdd83e88bc8c9038b7c1846c5 Mon Sep 17 00:00:00 2001 From: Lyanan85 Date: Sun, 20 Oct 2024 12:41:01 -0300 Subject: [PATCH 06/23] Delete Gen 2 directory --- .../130 \342\230\205 - GYARADOS - F8AA.pk2" | Bin 73 -> 0 bytes Gen 2/English/204 - PINECO - C9CB.pk2 | Bin 73 -> 0 bytes .../English/204 \342\230\205 - PINECO - FE72.pk2" | Bin 73 -> 0 bytes Gen 2/English/213 - SHUCKIE - 963A.pk2 | Bin 73 -> 0 bytes Gen 2/English/214 - HERACROSS - EE3D.pk2 | Bin 73 -> 0 bytes .../214 \342\230\205 - HERACROSS - 3935.pk2" | Bin 73 -> 0 bytes Gen 2/English/236 - TYROGUE - 935D.pk2 | Bin 73 -> 0 bytes Gen 2/English/243 - RAIKOU - 7C4E.pk2 | Bin 73 -> 0 bytes Gen 2/English/244 - ENTEI - 3CAE.pk2 | Bin 73 -> 0 bytes Gen 2/English/245 - SUICUNE - 4402.pk2 | Bin 73 -> 0 bytes Gen 2/English/245 - SUICUNE - 939D.pk2 | Bin 73 -> 0 bytes Gen 2/English/249 - LUGIA - 51FC.pk2 | Bin 73 -> 0 bytes Gen 2/English/249 - LUGIA - BCD6.pk2 | Bin 73 -> 0 bytes Gen 2/English/250 - HO-OH - 4BEC.pk2 | Bin 73 -> 0 bytes Gen 2/English/250 - HO-OH - 4E15.pk2 | Bin 73 -> 0 bytes Gen 2/English/251 - CELEBI - 9C1D.pk2 | Bin 73 -> 0 bytes Gen 2/English/251 - CELEBI - DC99.pk2 | Bin 73 -> 0 bytes .../English/251 \342\230\205 - CELEBI - F785.pk2" | Bin 73 -> 0 bytes Gen 2/English/In-game gift Togepi.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Cleffa.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Elekid.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Igglybuff.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Magby.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Pichu.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Smoochum.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Non-shiny Tyrogue.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Cleffa.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Elekid.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Igglybuff.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Magby.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Pichu.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Smoochum.pk2 | Bin 73 -> 0 bytes Gen 2/English/Odd Egg - Shiny Tyrogue.pk2 | Bin 73 -> 0 bytes ...343\203\251\343\203\211\343\202\271 - EAF7.pk2" | Bin 63 -> 0 bytes ...343\203\203\343\202\267\343\203\274 - D37F.pk2" | Bin 63 -> 0 bytes ...343\203\254\343\203\223\343\202\243 - C97D.pk2" | Bin 63 -> 0 bytes ...343\203\254\343\203\223\343\202\243 - 2659.pk2" | Bin 63 -> 0 bytes ...353\235\274\353\217\204\354\212\244 - 5F15.pk2" | Bin 73 -> 0 bytes ...353\260\260\353\243\250\355\202\244 - 70F9.pk2" | Bin 73 -> 0 bytes ...353\243\250\352\270\260\354\225\204 - 042D.pk2" | Bin 73 -> 0 bytes ...353\243\250\352\270\260\354\225\204 - 50D5.pk2" | Bin 73 -> 0 bytes ...354\271\241\354\203\211\354\241\260 - 098D.pk2" | Bin 73 -> 0 bytes ...354\271\241\354\203\211\354\241\260 - 7C85.pk2" | Bin 73 -> 0 bytes 43 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 "Gen 2/English/130 \342\230\205 - GYARADOS - F8AA.pk2" delete mode 100644 Gen 2/English/204 - PINECO - C9CB.pk2 delete mode 100644 "Gen 2/English/204 \342\230\205 - PINECO - FE72.pk2" delete mode 100644 Gen 2/English/213 - SHUCKIE - 963A.pk2 delete mode 100644 Gen 2/English/214 - HERACROSS - EE3D.pk2 delete mode 100644 "Gen 2/English/214 \342\230\205 - HERACROSS - 3935.pk2" delete mode 100644 Gen 2/English/236 - TYROGUE - 935D.pk2 delete mode 100644 Gen 2/English/243 - RAIKOU - 7C4E.pk2 delete mode 100644 Gen 2/English/244 - ENTEI - 3CAE.pk2 delete mode 100644 Gen 2/English/245 - SUICUNE - 4402.pk2 delete mode 100644 Gen 2/English/245 - SUICUNE - 939D.pk2 delete mode 100644 Gen 2/English/249 - LUGIA - 51FC.pk2 delete mode 100644 Gen 2/English/249 - LUGIA - BCD6.pk2 delete mode 100644 Gen 2/English/250 - HO-OH - 4BEC.pk2 delete mode 100644 Gen 2/English/250 - HO-OH - 4E15.pk2 delete mode 100644 Gen 2/English/251 - CELEBI - 9C1D.pk2 delete mode 100644 Gen 2/English/251 - CELEBI - DC99.pk2 delete mode 100644 "Gen 2/English/251 \342\230\205 - CELEBI - F785.pk2" delete mode 100644 Gen 2/English/In-game gift Togepi.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Cleffa.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Elekid.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Igglybuff.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Magby.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Pichu.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Smoochum.pk2 delete mode 100644 Gen 2/English/Odd Egg - Non-shiny Tyrogue.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Cleffa.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Elekid.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Igglybuff.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Magby.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Pichu.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Smoochum.pk2 delete mode 100644 Gen 2/English/Odd Egg - Shiny Tyrogue.pk2 delete mode 100644 "Gen 2/Japanese/130 \342\230\205 - \343\202\256\343\203\243\343\203\251\343\203\211\343\202\271 - EAF7.pk2" delete mode 100644 "Gen 2/Japanese/213 - \343\203\215\343\203\203\343\202\267\343\203\274 - D37F.pk2" delete mode 100644 "Gen 2/Japanese/251 - \343\202\273\343\203\254\343\203\223\343\202\243 - C97D.pk2" delete mode 100644 "Gen 2/Japanese/251 \342\230\205 - \343\202\273\343\203\254\343\203\223\343\202\243 - 2659.pk2" delete mode 100644 "Gen 2/Korean/130 \342\230\205 - \352\260\270\353\235\274\353\217\204\354\212\244 - 5F15.pk2" delete mode 100644 "Gen 2/Korean/236 - \353\260\260\353\243\250\355\202\244 - 70F9.pk2" delete mode 100644 "Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 042D.pk2" delete mode 100644 "Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 50D5.pk2" delete mode 100644 "Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 098D.pk2" delete mode 100644 "Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 7C85.pk2" diff --git "a/Gen 2/English/130 \342\230\205 - GYARADOS - F8AA.pk2" "b/Gen 2/English/130 \342\230\205 - GYARADOS - F8AA.pk2" deleted file mode 100644 index 75f4e66c97ba9de2bc56e22a2508836b14e71d45..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZQ<`rpK$suQFgRKn1FjR6i`trC&sl5+#{<$yR52qPG*7_1re8QlB(*KJ%D5D)+q PZ=2CDv7xzd5|9S~Up^9< diff --git a/Gen 2/English/204 - PINECO - C9CB.pk2 b/Gen 2/English/204 - PINECO - C9CB.pk2 deleted file mode 100644 index 8cf6244ec6fe34955bfc9ed4a7006260ae6cdc38..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZQP^ZyKk;I1R^ F0sv!P5cL26 diff --git a/Gen 2/English/213 - SHUCKIE - 963A.pk2 b/Gen 2/English/213 - SHUCKIE - 963A.pk2 deleted file mode 100644 index 006fd6e4f878ed710f9db4302ab913c69a4a13a5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZR)`v2ofRLNPi-8LWeR>*tI~oE40)XO^ N+NU&ib+iCE0RWtj5<>t0 diff --git a/Gen 2/English/214 - HERACROSS - EE3D.pk2 b/Gen 2/English/214 - HERACROSS - EE3D.pk2 deleted file mode 100644 index 7fcf10fede324d57139b0c2f7439e459f154082b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZR)_Wv4#qP85v-Vz3uM+|VVnn_tslEDqg=Yoqt8U6k1HZBVY2mo^1TP8L%P3)UA HDIfp<3Q-Ul diff --git "a/Gen 2/English/214 \342\230\205 - HERACROSS - 3935.pk2" "b/Gen 2/English/214 \342\230\205 - HERACROSS - 3935.pk2" deleted file mode 100644 index 7a13594e59f9ab22db2c84676e7c5ecb2f389036..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZR)_Wv4#qP85v-Vz3uM+|WAYL&8_B!e4}&jlBQGWz@1ZCn-*5CG)1w@hqkn%FmK HQa}IzHQ*5d diff --git a/Gen 2/English/236 - TYROGUE - 935D.pk2 b/Gen 2/English/236 - TYROGUE - 935D.pk2 deleted file mode 100644 index 72e5cd30dda1bb04762b9416aa774a58924c870a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZR4^ZyNlA_D_MPzeL`3m^>zO6Qb;EH@zL0%B<(ozV62nYa* PPi*Mu>YD;&2Lu2Bf@~7x diff --git a/Gen 2/English/244 - ENTEI - 3CAE.pk2 b/Gen 2/English/244 - ENTEI - 3CAE.pk2 deleted file mode 100644 index 48602a933df06cd98dce62dc7b7b3ff1bd840119..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl^8X8iwuxSFPzj?&0|Oj<)RU7G;dck}HGp_J5au#?GK4WiF!=QMuiLmRARquJ N-qJg{r31(W0sw$_60raP diff --git a/Gen 2/English/245 - SUICUNE - 4402.pk2 b/Gen 2/English/245 - SUICUNE - 4402.pk2 deleted file mode 100644 index 43ec90a3abd5379248a73f32bd108842a417c748..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`u{6~wz-}_Pzj?&0|Oj9vXPS%QT71xHGsGo2z?lm7`z$67_$2N*KJ%D5D)+q PpERYTX-aPkkP`p^ayJs~ diff --git a/Gen 2/English/245 - SUICUNE - 939D.pk2 b/Gen 2/English/245 - SUICUNE - 939D.pk2 deleted file mode 100644 index 0e509ab41debab83f11242e3823c9340cb965bc1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`u{6~w(SRj^A{K`8W`YUhqs&vtFjwIhPVb$tP==58PXYi7(y8``}@~zTow=z R02H4zrK4#|ZwrtU008KZ6zKo} diff --git a/Gen 2/English/249 - LUGIA - 51FC.pk2 b/Gen 2/English/249 - LUGIA - 51FC.pk2 deleted file mode 100644 index 45ec010e1eb82e01edef48dec244a1883d8fc007..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`Tr-w#@hm!drKHC8W`Zu3NnfdBwEh8FJt diff --git a/Gen 2/English/250 - HO-OH - 4BEC.pk2 b/Gen 2/English/250 - HO-OH - 4BEC.pk2 deleted file mode 100644 index e8c09b5eaaa5a77c1b9c239212ba123611170d0e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl_5atLySD{0gGv}J8W`Zf;ufoGWz@1ZCn-*5CG)1_dV`w2Qq;G E0Izfs761SM diff --git a/Gen 2/English/250 - HO-OH - 4E15.pk2 b/Gen 2/English/250 - HO-OH - 4E15.pk2 deleted file mode 100644 index 62e2d2348353ac5e38ca8bdcc9fe968f4e56b90e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl_5atL%({<_drR25&N0Bj1XU4MRuMNKAA~;w;cyI3Vz`P~@i@yP)Nvw+Z*!5sqo``2w;77!2s6mM$j LZfWcQvI7DDTa6X> diff --git "a/Gen 2/English/251 \342\230\205 - CELEBI - F785.pk2" "b/Gen 2/English/251 \342\230\205 - CELEBI - F785.pk2" deleted file mode 100644 index ee2393e87e5cd330383ddc3f4396987791cd88df..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl{r@+^_1oWmq_HuCG9bXKRjiV%{B8{M`s9FuDM0AS;0}TP{p&U^3kV1RiZ``% Lw={MD*#Q9nH0u?d diff --git a/Gen 2/English/In-game gift Togepi.pk2 b/Gen 2/English/In-game gift Togepi.pk2 deleted file mode 100644 index 3ca753fc5d8d3fc3b449fce4c8b2293802a23ba1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`+q%y?imJ#G*$+N6b3lBFQFmAz`zCM1I1B6fB(9T%K`!dfTAsJZ2|oqKz2X? E0NKJ0Q2+n{ diff --git a/Gen 2/English/Odd Egg - Non-shiny Cleffa.pk2 b/Gen 2/English/Odd Egg - Non-shiny Cleffa.pk2 deleted file mode 100644 index de90abacaf9a5621d54ec87d7ea023dda4023c8b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 ucmZSl`+qG14R diff --git a/Gen 2/English/Odd Egg - Non-shiny Magby.pk2 b/Gen 2/English/Odd Egg - Non-shiny Magby.pk2 deleted file mode 100644 index d3e8dc33cdaf94eaaac71f1462c521d2db60bc1b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 tcmZSl`~L%j$s`5_1}+AMS|9}nl0X3wAdeL;0%i0yHwQpLOIsU^2>_8f44VJ| diff --git a/Gen 2/English/Odd Egg - Non-shiny Pichu.pk2 b/Gen 2/English/Odd Egg - Non-shiny Pichu.pk2 deleted file mode 100644 index 10f96ae3b04d1a3c70de6300c6762473d0847ef6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 ucmZSl`+p5X$eBqD3>*v$wG2o=PK1j=1juJa5(6{)nwtZlprx%1#smPr?hRT1 diff --git a/Gen 2/English/Odd Egg - Non-shiny Smoochum.pk2 b/Gen 2/English/Odd Egg - Non-shiny Smoochum.pk2 deleted file mode 100644 index d24416b688290f047e46a71bf086e3ec449bf060..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 ucmZSl`~MvSW7Q-E20jLcS_UMbEXTzl0_3wIiGi7Y&CLN&(9+fhV*&uGsSOMO diff --git a/Gen 2/English/Odd Egg - Non-shiny Tyrogue.pk2 b/Gen 2/English/Odd Egg - Non-shiny Tyrogue.pk2 deleted file mode 100644 index d3e4071419ace84ba131653605feabbc0b5edd9c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 tcmZSl`~MAt;v@zJ1}+AMS|9}n%0K}TAdeL;0%i0yHwQpLOIsU^2>^`i42}Q* diff --git a/Gen 2/English/Odd Egg - Shiny Cleffa.pk2 b/Gen 2/English/Odd Egg - Shiny Cleffa.pk2 deleted file mode 100644 index 8e38520704d4c878c51f04fb18ed92b1f6e07dfe..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 wcmZSl`+qG1>D#{B8{Q`s9Fu*+A$8gdPm;4DM1J0)U`*Ifw=T DeLxZ| diff --git "a/Gen 2/Japanese/251 \342\230\205 - \343\202\273\343\203\254\343\203\223\343\202\243 - 2659.pk2" "b/Gen 2/Japanese/251 \342\230\205 - \343\202\273\343\203\254\343\203\223\343\202\243 - 2659.pk2" deleted file mode 100644 index 14322228656662a219004e5d746161e194ce0011..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 63 zcmZSl{r@+^_1oWm$mcVJG9bXORjiV%{B8{Q`s9Fu89?a8;0}RO8v=l!cR7d#0CwXM A{r~^~ diff --git "a/Gen 2/Korean/130 \342\230\205 - \352\260\270\353\235\274\353\217\204\354\212\244 - 5F15.pk2" "b/Gen 2/Korean/130 \342\230\205 - \352\260\270\353\235\274\353\217\204\354\212\244 - 5F15.pk2" deleted file mode 100644 index 7d9036dae29bb0a0990f335bd5a8c18de5b13417..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZQ<`rpK$suQIBQh}lQ8Uq}>S|uXMCFcg@%fZE<3`P&Gom}di`Ye+J7-g6bGmEl$ I1q1{D0QLzC82|tP diff --git "a/Gen 2/Korean/236 - \353\260\260\353\243\250\355\202\244 - 70F9.pk2" "b/Gen 2/Korean/236 - \353\260\260\353\243\250\355\202\244 - 70F9.pk2" deleted file mode 100644 index db6ad529e81027cc8c8dd19009ea37548a69cc3f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZR4^ZyNlA_D`%O9ckz7eE>cn06}zS#Chg1rvhNj2>J&xzsuJStbXtykHUMYzP1W E0K4}Kng9R* diff --git "a/Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 042D.pk2" "b/Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 042D.pk2" deleted file mode 100644 index 6468e298b822038086f9fcc509ded301a3e748f7..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`Tr+Frp1TGmkMlM=NRB1*iM9%Rm2U*2VoSz=)tvz>% diff --git "a/Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 50D5.pk2" "b/Gen 2/Korean/249 - \353\243\250\352\270\260\354\225\204 - 50D5.pk2" deleted file mode 100644 index f862998d5ce6c43105e7057910cd0923fc506ac8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl`Tr-w#@hm!FBKRq8W`Zf^%$$9vWOdyuK^c>G8jF$c5a$D^U=e5B#C9wI F1OQM!4h{eS diff --git "a/Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 098D.pk2" "b/Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 098D.pk2" deleted file mode 100644 index 2f2a992a89121e14898d1764e2c2980809a86c12..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl_5atL%({<_FBRCj&N0A2{T>lkRuMNKAB0f=qX*YcE_F_QmdOE}tgOe_p9O#b E0KY*G`~Uy| diff --git "a/Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 7C85.pk2" "b/Gen 2/Korean/250 - \354\271\241\354\203\211\354\241\260 - 7C85.pk2" deleted file mode 100644 index 54158a32380ce720c390ad3f6f4ce3afda0f7cae..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 73 zcmZSl_5atLySD{0Un($KG%&zHcPOi*vWOdyuK^c>G8jF$c5a$D^;ACYz#{Mh- F1OR`{4%q+z From a4eaf6ba61a30e018d4d88d39da3fff02e8f9ac1 Mon Sep 17 00:00:00 2001 From: Lyanan85 Date: Sun, 20 Oct 2024 12:41:11 -0300 Subject: [PATCH 07/23] Delete Gen 3 directory --- Gen 3/English/001 - BULBASAUR - 884BCE983725.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - BULBASAUR - 10243DC1AC16.pk3" | Bin 80 -> 0 bytes .../English/004 - CHARMANDER - 0A80639CD667.pk3 | Bin 80 -> 0 bytes ...\342\230\205 - CHARMANDER - 09FF1F438E96.pk3" | Bin 80 -> 0 bytes Gen 3/English/007 - SQUIRTLE - 23A7C38EA9BA.pk3 | Bin 80 -> 0 bytes ...7 \342\230\205 - SQUIRTLE - 86B323B5B262.pk3" | Bin 80 -> 0 bytes Gen 3/English/083 - CH'DING - FD71151943D7.pk3 | Bin 80 -> 0 bytes Gen 3/English/086 - SEELOR - 039C482CAC89.pk3 | Bin 80 -> 0 bytes Gen 3/English/097 - HYPNO - 74F13B5C29B8.pk3 | Bin 80 -> 0 bytes .../097 \342\230\205 - HYPNO - 75D300011D8B.pk3" | Bin 80 -> 0 bytes Gen 3/English/101 - ESPHERE - 255B06341016.pk3 | Bin 80 -> 0 bytes Gen 3/English/106 - HITMONLEE - 47C2EA970815.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - HITMONLEE - 3518D7C64613.pk3" | Bin 80 -> 0 bytes .../English/107 - HITMONCHAN - 28F1A4A447FA.pk3 | Bin 80 -> 0 bytes ...\342\230\205 - HITMONCHAN - 8EBBD86249B0.pk3" | Bin 80 -> 0 bytes Gen 3/English/108 - MARC - 26A2451308AB.pk3 | Bin 80 -> 0 bytes Gen 3/English/114 - TANGENY - B03F5C77ECFA.pk3 | Bin 80 -> 0 bytes Gen 3/English/122 - MIMIEN - 226600009CAE.pk3 | Bin 80 -> 0 bytes Gen 3/English/124 - ZYNX - 621A498A2E1D.pk3 | Bin 80 -> 0 bytes Gen 3/English/129 - MAGIKARP - 8ABDE46562F9.pk3 | Bin 80 -> 0 bytes ...9 \342\230\205 - MAGIKARP - A24413AD8278.pk3" | Bin 80 -> 0 bytes Gen 3/English/131 - LAPRAS - 4CB826849012.pk3 | Bin 80 -> 0 bytes ...131 \342\230\205 - LAPRAS - 5BBA4A05DBD7.pk3" | Bin 80 -> 0 bytes Gen 3/English/133 - EEVEE - D0550FA9089F.xk3 | Bin 196 -> 0 bytes .../133 \342\230\205 - EEVEE - 294EAE467BBB.xk3" | Bin 196 -> 0 bytes Gen 3/English/138 - OMANYTE - 0A6EE9381325.pk3 | Bin 80 -> 0 bytes ...38 \342\230\205 - OMANYTE - BB2CD86249B0.pk3" | Bin 80 -> 0 bytes Gen 3/English/140 - KABUTO - 1B71C71E1FEA.pk3 | Bin 80 -> 0 bytes ...140 \342\230\205 - KABUTO - DC52D7C64613.pk3" | Bin 80 -> 0 bytes .../English/142 - AERODACTYL - E6CFB694863D.pk3 | Bin 80 -> 0 bytes ...\342\230\205 - AERODACTYL - 091C9A0D0BDB.pk3" | Bin 80 -> 0 bytes Gen 3/English/143 - SNORLAX - D800BE17BAC1.pk3 | Bin 80 -> 0 bytes Gen 3/English/143 - SNORLAX - EA30FBF54621.pk3 | Bin 80 -> 0 bytes ...43 \342\230\205 - SNORLAX - 56A0B53824EF.pk3" | Bin 80 -> 0 bytes Gen 3/English/144 - ARTICUNO - 072E48B1CA64.pk3 | Bin 80 -> 0 bytes Gen 3/English/144 - ARTICUNO - 8492C5D7DC97.xk3 | Bin 196 -> 0 bytes Gen 3/English/144 - ARTICUNO - 9447D501B081.xk3 | Bin 196 -> 0 bytes ...4 \342\230\205 - ARTICUNO - 41F9E99D784E.pk3" | Bin 80 -> 0 bytes Gen 3/English/145 - ZAPDOS - 7F3053BF9D5A.xk3 | Bin 196 -> 0 bytes Gen 3/English/145 - ZAPDOS - C7E150AC31B9.xk3 | Bin 196 -> 0 bytes Gen 3/English/145 - ZAPDOS - F177C37F164A.pk3 | Bin 80 -> 0 bytes ...145 \342\230\205 - ZAPDOS - D0923C2BADFB.pk3" | Bin 80 -> 0 bytes Gen 3/English/146 - MOLTRES - 01C4475FA930.xk3 | Bin 196 -> 0 bytes Gen 3/English/146 - MOLTRES - 3268C87D71A3.xk3 | Bin 196 -> 0 bytes Gen 3/English/146 - MOLTRES - D676C99677EF.pk3 | Bin 80 -> 0 bytes ...46 \342\230\205 - MOLTRES - CC72CFBD5E69.pk3" | Bin 80 -> 0 bytes Gen 3/English/149 - DRAGONITE - 49AB1189C64A.xk3 | Bin 196 -> 0 bytes Gen 3/English/149 - DRAGONITE - B1261189C64A.xk3 | Bin 196 -> 0 bytes Gen 3/English/150 - MEWTWO - 7F3C427F69D9.pk3 | Bin 80 -> 0 bytes ...150 \342\230\205 - MEWTWO - 2E413535A4E7.pk3" | Bin 80 -> 0 bytes Gen 3/English/152 - CHIKORITA - 967D25CDFBF5.pk3 | Bin 80 -> 0 bytes Gen 3/English/152 - CHIKORITA - B9C9EB84C449.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - CHIKORITA - E70503F3D4DA.pk3" | Bin 80 -> 0 bytes Gen 3/English/155 - CYNDAQUIL - 9B9A8532FD25.pk3 | Bin 80 -> 0 bytes Gen 3/English/155 - CYNDAQUIL - 9C47E78C8D37.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - CYNDAQUIL - 942AD6E801C1.pk3" | Bin 80 -> 0 bytes Gen 3/English/158 - TOTODILE - 72B9D66794C9.pk3 | Bin 80 -> 0 bytes Gen 3/English/158 - TOTODILE - F22EBA523CAD.pk3 | Bin 80 -> 0 bytes ...8 \342\230\205 - TOTODILE - ED5854D683FE.pk3" | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - 4A869A7B0F65.pk3" | Bin 80 -> 0 bytes Gen 3/English/176 - TOGETIC - 128B623FB180.ck3 | Bin 312 -> 0 bytes Gen 3/English/176 - TOGETIC - E87F623FB180.ck3 | Bin 312 -> 0 bytes ...76 \342\230\205 - TOGETIC - B0DAC5E103A7.ck3" | Bin 312 -> 0 bytes Gen 3/English/185 - SUDOWOODO - A3A8DDA89896.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - SUDOWOODO - 4439A1EA5C18.pk3" | Bin 80 -> 0 bytes Gen 3/English/201-26 - UNOWN - FBCD67BC2416.pk3 | Bin 80 -> 0 bytes ...1-26 \342\230\205 - UNOWN - B76C98570982.pk3" | Bin 80 -> 0 bytes Gen 3/English/201-27 - UNOWN - 6C3A0EEED5CB.pk3 | Bin 80 -> 0 bytes ...1-27 \342\230\205 - UNOWN - 824559B1C867.pk3" | Bin 80 -> 0 bytes Gen 3/English/207 - GLIGAR - A292E40B7BDB.xk3 | Bin 196 -> 0 bytes ...207 \342\230\205 - GLIGAR - 90DBE476E32A.xk3" | Bin 196 -> 0 bytes Gen 3/English/222 - COROSO - 59334C970B7F.pk3 | Bin 80 -> 0 bytes Gen 3/English/243 - RAIKOU - 247B97FDBB75.ck3 | Bin 312 -> 0 bytes Gen 3/English/243 - RAIKOU - 570197FDBB75.ck3 | Bin 312 -> 0 bytes Gen 3/English/243 - RAIKOU - A549228E2951.pk3 | Bin 80 -> 0 bytes Gen 3/English/243 - RAIKOU - D7232018D971.ck3 | Bin 312 -> 0 bytes ...243 \342\230\205 - RAIKOU - A4BA8CFC1D28.pk3" | Bin 80 -> 0 bytes Gen 3/English/244 - ENTEI - 21FDD4984AB8.ck3 | Bin 312 -> 0 bytes Gen 3/English/244 - ENTEI - 8F1099B9242F.ck3 | Bin 312 -> 0 bytes Gen 3/English/244 - ENTEI - A5673E11C3AE.pk3 | Bin 80 -> 0 bytes Gen 3/English/244 - ENTEI - FC6A99B9242F.ck3 | Bin 312 -> 0 bytes .../244 \342\230\205 - ENTEI - A514D7C64613.pk3" | Bin 80 -> 0 bytes Gen 3/English/245 - SUICUNE - 3FCC396B3E64.ck3 | Bin 312 -> 0 bytes Gen 3/English/245 - SUICUNE - 95FB18C61279.pk3 | Bin 80 -> 0 bytes Gen 3/English/245 - SUICUNE - B2930CCDD42F.ck3 | Bin 312 -> 0 bytes Gen 3/English/245 - SUICUNE - C1E90CCDD42F.ck3 | Bin 312 -> 0 bytes ...45 \342\230\205 - SUICUNE - 2DF30824CE62.ck3" | Bin 312 -> 0 bytes ...45 \342\230\205 - SUICUNE - 957D8CFC1D28.pk3" | Bin 80 -> 0 bytes Gen 3/English/248 - TYRANITAR - 2E05BF439F0A.ck3 | Bin 312 -> 0 bytes Gen 3/English/248 - TYRANITAR - FB24BF439F0A.ck3 | Bin 312 -> 0 bytes Gen 3/English/249 - LUGIA - B95185E53437.xk3 | Bin 196 -> 0 bytes Gen 3/English/249 - LUGIA - D79730FE7736.xk3 | Bin 196 -> 0 bytes Gen 3/English/249 - LUGIA - E1692E291EB3.xk3 | Bin 196 -> 0 bytes Gen 3/English/250 - HO-OH - 9FB600FD4072(1).ck3 | Bin 312 -> 0 bytes Gen 3/English/252 - TREECKO - F94E35A2BB11.pk3 | Bin 80 -> 0 bytes Gen 3/English/255 - TORCHIC - A8CD575E0B0B.pk3 | Bin 80 -> 0 bytes Gen 3/English/258 - MUDKIP - 334E24A137E1.pk3 | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - 32A3E8DBEF75.pk3" | Bin 80 -> 0 bytes Gen 3/English/296 - MAKIT - 325200009C40.pk3 | Bin 80 -> 0 bytes Gen 3/English/300 - SKITIT - E445498A2E17.pk3 | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - 2C2724F841EA.pk3" | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - 4C95DF7DB8F0.pk3" | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - FC95857687C1.pk3" | Bin 80 -> 0 bytes Gen 3/English/304 - ARON - 5D8033A3B098.xk3 | Bin 196 -> 0 bytes Gen 3/English/304 - ARON - CFFED9A1193A.xk3 | Bin 196 -> 0 bytes .../304 \342\230\205 - ARON - 1D6F7B227C78.xk3" | Bin 196 -> 0 bytes Gen 3/English/329 - VIBRAVA - 3129BFA5A81F.ck3 | Bin 312 -> 0 bytes Gen 3/English/329 - VIBRAVA - B3A9BFA5A81F.ck3 | Bin 312 -> 0 bytes ...29 \342\230\205 - VIBRAVA - 4E1A8A0E4C49.ck3" | Bin 312 -> 0 bytes ...29 \342\230\205 - VIBRAVA - CC9A8A0E4C49.ck3" | Bin 312 -> 0 bytes ...7\343\203\236\343\202\264 - 057D2E1869BA.pk3" | Bin 80 -> 0 bytes Gen 3/English/345 - LILEEP - 4AFDA7C5EC89.pk3 | Bin 80 -> 0 bytes ...345 \342\230\205 - LILEEP - 7CC44DE5B017.pk3" | Bin 80 -> 0 bytes Gen 3/English/347 - ANORITH - FD76EA1CCCF2.pk3 | Bin 80 -> 0 bytes ...47 \342\230\205 - ANORITH - 41D5FEAC035F.pk3" | Bin 80 -> 0 bytes Gen 3/English/349 - FEEBAS - AE795EF55E7D.pk3 | Bin 80 -> 0 bytes ...349 \342\230\205 - FEEBAS - 1DC154D683FE.pk3" | Bin 80 -> 0 bytes Gen 3/English/351 - CASTFORM - E3694045DB4C.pk3 | Bin 80 -> 0 bytes ...1 \342\230\205 - CASTFORM - E4D5E7C11A32.pk3" | Bin 80 -> 0 bytes Gen 3/English/352 - KECLEON - CD0B91D74AFB.pk3 | Bin 80 -> 0 bytes Gen 3/English/359 - ABSOL - 38057C30073E.ck3 | Bin 312 -> 0 bytes Gen 3/English/359 - ABSOL - BBEB7C30073E.ck3 | Bin 312 -> 0 bytes .../359 \342\230\205 - ABSOL - 7197AB266D60.ck3" | Bin 312 -> 0 bytes .../359 \342\230\205 - ABSOL - F279AB266D60.ck3" | Bin 312 -> 0 bytes Gen 3/English/360 - WYNAUT - B545FB73E8C1.pk3 | Bin 80 -> 0 bytes Gen 3/English/360 - WYNAUT - F213C480EF40.pk3 | Bin 80 -> 0 bytes ...7\343\203\236\343\202\264 - 5145FB73E8C1.pk3" | Bin 80 -> 0 bytes ...360 \342\230\205 - WYNAUT - 953D1B9FE668.pk3" | Bin 80 -> 0 bytes Gen 3/English/373 - SALAMENCE - 600654565535.xk3 | Bin 196 -> 0 bytes Gen 3/English/373 - SALAMENCE - 988B54565535.xk3 | Bin 196 -> 0 bytes Gen 3/English/374 - BELDUM - 2AA1838AC18A.pk3 | Bin 80 -> 0 bytes Gen 3/English/374 - BELDUM - ECE4CC0E1A54.pk3 | Bin 80 -> 0 bytes ...374 \342\230\205 - BELDUM - B799FEAC035F.pk3" | Bin 80 -> 0 bytes Gen 3/English/376 - METAGROSS - 1A0F57C1BC15.ck3 | Bin 312 -> 0 bytes Gen 3/English/376 - METAGROSS - 48B257C1BC15.ck3 | Bin 312 -> 0 bytes Gen 3/English/377 - REGIROCK - DA1A93192A7D.pk3 | Bin 80 -> 0 bytes ...7 \342\230\205 - REGIROCK - 64414F30B2C7.pk3" | Bin 80 -> 0 bytes Gen 3/English/378 - REGICE - 3B9B2D2E1266.pk3 | Bin 80 -> 0 bytes ...378 \342\230\205 - REGICE - 4796720E8FF9.pk3" | Bin 80 -> 0 bytes Gen 3/English/379 - REGISTEEL - 831E06C9F136.pk3 | Bin 80 -> 0 bytes ... \342\230\205 - REGISTEEL - 08B50AACF75C.pk3" | Bin 80 -> 0 bytes Gen 3/English/380 - LATIAS - 53790F7E94EA.pk3 | Bin 80 -> 0 bytes Gen 3/English/380 - LATIAS - 7865114EF1FB.pk3 | Bin 80 -> 0 bytes ...380 \342\230\205 - LATIAS - 0619A1EA5C18.pk3" | Bin 80 -> 0 bytes ...380 \342\230\205 - LATIAS - 97B86628B101.pk3" | Bin 80 -> 0 bytes Gen 3/English/381 - LATIOS - 65FBE5617128.pk3 | Bin 80 -> 0 bytes Gen 3/English/381 - LATIOS - 9CEE3A939EB1.pk3 | Bin 80 -> 0 bytes ...381 \342\230\205 - LATIOS - B0182A26D7D4.pk3" | Bin 80 -> 0 bytes ...381 \342\230\205 - LATIOS - EC3ED6E801C1.pk3" | Bin 80 -> 0 bytes Gen 3/English/382 - KYOGRE - C0B3D2C6B26E.pk3 | Bin 80 -> 0 bytes Gen 3/English/382 - KYOGRE - C24A753D7CC5.pk3 | Bin 80 -> 0 bytes ...382 \342\230\205 - KYOGRE - 19DBCCC80E8F.pk3" | Bin 80 -> 0 bytes ...382 \342\230\205 - KYOGRE - 38876D859070.pk3" | Bin 80 -> 0 bytes Gen 3/English/383 - GROUDON - 312FECD5EA4D.pk3 | Bin 80 -> 0 bytes Gen 3/English/383 - GROUDON - 487489F2651A.pk3 | Bin 80 -> 0 bytes ...83 \342\230\205 - GROUDON - 2AE456E894AB.pk3" | Bin 80 -> 0 bytes ...83 \342\230\205 - GROUDON - C6482A26D7D4.pk3" | Bin 80 -> 0 bytes Gen 3/English/384 - RAYQUAZA - B53D8715D835.pk3 | Bin 80 -> 0 bytes ...4 \342\230\205 - RAYQUAZA - AA91A1EA5C18.pk3" | Bin 80 -> 0 bytes Gen 3/English/Birth Island Deoxys (Shiny).pk3 | Bin 80 -> 0 bytes Gen 3/English/Birth Island Deoxys.pk3 | Bin 80 -> 0 bytes Gen 3/English/Egg Pichu.pk3 | Bin 80 -> 0 bytes Gen 3/English/Navel Rock Ho-oh (Shiny).pk3 | Bin 80 -> 0 bytes Gen 3/English/Navel Rock Ho-oh.pk3 | Bin 80 -> 0 bytes Gen 3/English/Navel Rock Lugia (Shiny).pk3 | Bin 80 -> 0 bytes Gen 3/English/Navel Rock Lugia.pk3 | Bin 80 -> 0 bytes Gen 3/English/Pichu.pk3 | Bin 80 -> 0 bytes Gen 3/English/Pokemon Box Swablu Egg.rar | Bin 2479 -> 0 bytes Gen 3/English/Skitty Egg.rar | Bin 489 -> 0 bytes Gen 3/English/Zigzagoon Egg.rar | Bin 643 -> 0 bytes ...7\343\203\245\343\202\246 - ADBDC3D29E67.pk3" | Bin 80 -> 0 bytes ...7\343\203\245\343\202\246 - 32284B87F0BE.pk3" | Bin 80 -> 0 bytes ...7\343\203\245\343\202\246 - FA037942EF72.pk3" | Bin 80 -> 0 bytes ...3\343\202\256\343\202\242 - CB58460D6C30.pk3" | Bin 80 -> 0 bytes ...3\343\202\256\343\202\242 - 71A5CFAE0E74.pk3" | Bin 80 -> 0 bytes ...6\343\202\252\343\202\246 - E574C8C7664C.pk3" | Bin 80 -> 0 bytes ...6\343\202\252\343\202\246 - 928F46F1872A.pk3" | Bin 80 -> 0 bytes ...3\343\202\242\343\202\271 - 07B392280E73.pk3" | Bin 80 -> 0 bytes ...3\343\202\242\343\202\271 - A08AAD0B6CD2.pk3" | Bin 80 -> 0 bytes ...3\343\202\252\343\202\271 - DBDDF2961200.pk3" | Bin 80 -> 0 bytes ...3\343\202\252\343\202\271 - 5E14E6FB2725.pk3" | Bin 80 -> 0 bytes ...5\343\202\267\343\202\271 - DD95FCCACD35.pk3" | Bin 80 -> 0 bytes ...5\343\202\267\343\202\271 - FA9B3CAB6970.pk3" | Bin 80 -> 0 bytes Gen 3/Japanese/RSEFL - e-Reader Mareep (JPN).pk3 | Bin 80 -> 0 bytes Gen 3/Japanese/RSEFL - e-Reader Scizor (JPN).pk3 | Bin 80 -> 0 bytes Gen 3/Japanese/RSEFL - e-Reader Togepi (JPN).pk3 | Bin 80 -> 0 bytes ...67\343\202\242\343\203\240 Pikachu (JPN).pk3" | Bin 80 -> 0 bytes ...\253\343\202\204\343\201\276 Ho-oh (JPN).pk3" | Bin 80 -> 0 bytes Gen 3/Spanish/152 - CHIKORITA - 98DE410611E4.pk3 | Bin 80 -> 0 bytes Gen 3/Spanish/155 - CYNDAQUIL - 1D237049F324.pk3 | Bin 80 -> 0 bytes Gen 3/Spanish/158 - TOTODILE - 6ACAC623372A.pk3 | Bin 80 -> 0 bytes 191 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 Gen 3/English/001 - BULBASAUR - 884BCE983725.pk3 delete mode 100644 "Gen 3/English/001 \342\230\205 - BULBASAUR - 10243DC1AC16.pk3" delete mode 100644 Gen 3/English/004 - CHARMANDER - 0A80639CD667.pk3 delete mode 100644 "Gen 3/English/004 \342\230\205 - CHARMANDER - 09FF1F438E96.pk3" delete mode 100644 Gen 3/English/007 - SQUIRTLE - 23A7C38EA9BA.pk3 delete mode 100644 "Gen 3/English/007 \342\230\205 - SQUIRTLE - 86B323B5B262.pk3" delete mode 100644 Gen 3/English/083 - CH'DING - FD71151943D7.pk3 delete mode 100644 Gen 3/English/086 - SEELOR - 039C482CAC89.pk3 delete mode 100644 Gen 3/English/097 - HYPNO - 74F13B5C29B8.pk3 delete mode 100644 "Gen 3/English/097 \342\230\205 - HYPNO - 75D300011D8B.pk3" delete mode 100644 Gen 3/English/101 - ESPHERE - 255B06341016.pk3 delete mode 100644 Gen 3/English/106 - HITMONLEE - 47C2EA970815.pk3 delete mode 100644 "Gen 3/English/106 \342\230\205 - HITMONLEE - 3518D7C64613.pk3" delete mode 100644 Gen 3/English/107 - HITMONCHAN - 28F1A4A447FA.pk3 delete mode 100644 "Gen 3/English/107 \342\230\205 - HITMONCHAN - 8EBBD86249B0.pk3" delete mode 100644 Gen 3/English/108 - MARC - 26A2451308AB.pk3 delete mode 100644 Gen 3/English/114 - TANGENY - B03F5C77ECFA.pk3 delete mode 100644 Gen 3/English/122 - MIMIEN - 226600009CAE.pk3 delete mode 100644 Gen 3/English/124 - ZYNX - 621A498A2E1D.pk3 delete mode 100644 Gen 3/English/129 - MAGIKARP - 8ABDE46562F9.pk3 delete mode 100644 "Gen 3/English/129 \342\230\205 - MAGIKARP - A24413AD8278.pk3" delete mode 100644 Gen 3/English/131 - LAPRAS - 4CB826849012.pk3 delete mode 100644 "Gen 3/English/131 \342\230\205 - LAPRAS - 5BBA4A05DBD7.pk3" delete mode 100644 Gen 3/English/133 - EEVEE - D0550FA9089F.xk3 delete mode 100644 "Gen 3/English/133 \342\230\205 - EEVEE - 294EAE467BBB.xk3" delete mode 100644 Gen 3/English/138 - OMANYTE - 0A6EE9381325.pk3 delete mode 100644 "Gen 3/English/138 \342\230\205 - OMANYTE - BB2CD86249B0.pk3" delete mode 100644 Gen 3/English/140 - KABUTO - 1B71C71E1FEA.pk3 delete mode 100644 "Gen 3/English/140 \342\230\205 - KABUTO - DC52D7C64613.pk3" delete mode 100644 Gen 3/English/142 - AERODACTYL - E6CFB694863D.pk3 delete mode 100644 "Gen 3/English/142 \342\230\205 - AERODACTYL - 091C9A0D0BDB.pk3" delete mode 100644 Gen 3/English/143 - SNORLAX - D800BE17BAC1.pk3 delete mode 100644 Gen 3/English/143 - SNORLAX - EA30FBF54621.pk3 delete mode 100644 "Gen 3/English/143 \342\230\205 - SNORLAX - 56A0B53824EF.pk3" delete mode 100644 Gen 3/English/144 - ARTICUNO - 072E48B1CA64.pk3 delete mode 100644 Gen 3/English/144 - ARTICUNO - 8492C5D7DC97.xk3 delete mode 100644 Gen 3/English/144 - ARTICUNO - 9447D501B081.xk3 delete mode 100644 "Gen 3/English/144 \342\230\205 - ARTICUNO - 41F9E99D784E.pk3" delete mode 100644 Gen 3/English/145 - ZAPDOS - 7F3053BF9D5A.xk3 delete mode 100644 Gen 3/English/145 - ZAPDOS - C7E150AC31B9.xk3 delete mode 100644 Gen 3/English/145 - ZAPDOS - F177C37F164A.pk3 delete mode 100644 "Gen 3/English/145 \342\230\205 - ZAPDOS - D0923C2BADFB.pk3" delete mode 100644 Gen 3/English/146 - MOLTRES - 01C4475FA930.xk3 delete mode 100644 Gen 3/English/146 - MOLTRES - 3268C87D71A3.xk3 delete mode 100644 Gen 3/English/146 - MOLTRES - D676C99677EF.pk3 delete mode 100644 "Gen 3/English/146 \342\230\205 - MOLTRES - CC72CFBD5E69.pk3" delete mode 100644 Gen 3/English/149 - DRAGONITE - 49AB1189C64A.xk3 delete mode 100644 Gen 3/English/149 - DRAGONITE - B1261189C64A.xk3 delete mode 100644 Gen 3/English/150 - MEWTWO - 7F3C427F69D9.pk3 delete mode 100644 "Gen 3/English/150 \342\230\205 - MEWTWO - 2E413535A4E7.pk3" delete mode 100644 Gen 3/English/152 - CHIKORITA - 967D25CDFBF5.pk3 delete mode 100644 Gen 3/English/152 - CHIKORITA - B9C9EB84C449.pk3 delete mode 100644 "Gen 3/English/152 \342\230\205 - CHIKORITA - E70503F3D4DA.pk3" delete mode 100644 Gen 3/English/155 - CYNDAQUIL - 9B9A8532FD25.pk3 delete mode 100644 Gen 3/English/155 - 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\343\203\237\343\203\245\343\202\246 - ADBDC3D29E67.pk3" delete mode 100644 "Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - 32284B87F0BE.pk3" delete mode 100644 "Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - FA037942EF72.pk3" delete mode 100644 "Gen 3/Japanese/249 - \343\203\253\343\202\256\343\202\242 - CB58460D6C30.pk3" delete mode 100644 "Gen 3/Japanese/249 \342\230\205 - \343\203\253\343\202\256\343\202\242 - 71A5CFAE0E74.pk3" delete mode 100644 "Gen 3/Japanese/250 - \343\203\233\343\202\246\343\202\252\343\202\246 - E574C8C7664C.pk3" delete mode 100644 "Gen 3/Japanese/250 \342\230\205 - \343\203\233\343\202\246\343\202\252\343\202\246 - 928F46F1872A.pk3" delete mode 100644 "Gen 3/Japanese/380 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - 07B392280E73.pk3" delete mode 100644 "Gen 3/Japanese/380 \342\230\205 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - A08AAD0B6CD2.pk3" delete mode 100644 "Gen 3/Japanese/381 - 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CYNDAQUIL - 1D237049F324.pk3 delete mode 100644 Gen 3/Spanish/158 - TOTODILE - 6ACAC623372A.pk3 diff --git a/Gen 3/English/001 - BULBASAUR - 884BCE983725.pk3 b/Gen 3/English/001 - BULBASAUR - 884BCE983725.pk3 deleted file mode 100644 index 56ad1748a41ca6b7103f28b81ac4a26d08ef231d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmY#2pK-2BHnL~W`D1%_pWS`_%zq}PQ>Pw3yZ!$^gLel510w?iLpu;NxG^v&GU$R> U49Xf{3PD7$F7o)sstFPR0OkS~7ytkO diff --git "a/Gen 3/English/001 \342\230\205 - BULBASAUR - 10243DC1AC16.pk3" "b/Gen 3/English/001 \342\230\205 - BULBASAUR - 10243DC1AC16.pk3" deleted file mode 100644 index 642ab33ff17ea671d367195b530a9c8cde01edb9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmWezbI`U+HnL~W`D1%_pWS`_%zq}PQ>Pw3yZ!$^gNgtH10w?iLpu;NxG^v&GU$R> U49Xf{3PD7$F0#mfXATko0LTRu*8l(j diff --git a/Gen 3/English/004 - CHARMANDER - 0A80639CD667.pk3 b/Gen 3/English/004 - CHARMANDER - 0A80639CD667.pk3 deleted file mode 100644 index 650d978ae36b77632f24b05ccd5e1ea33225b5ba..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmYelHYd4DHnL~$q1|VW?>@0_{~0ExQ>Pw3yZ!$^LjxBB0}BHKLpu;NxG^wrG3bI= U49Xf{3PD7$E;?OuS_dQm0PLt1t^fc4 diff --git "a/Gen 3/English/004 \342\230\205 - CHARMANDER - 09FF1F438E96.pk3" "b/Gen 3/English/004 \342\230\205 - CHARMANDER - 09FF1F438E96.pk3" deleted file mode 100644 index 72ff352da8658abec4fb41db35f25e55e9d248b2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmbQ%=PchP8`-n>(C#zGcc0j|{|pn;sZ)=i-Twcd;Xfw>0}BHKLpu;NxG^wrG3bI= U49Xf{3PD7$E~?0$YYGwo0Ly6=^#A|> diff --git a/Gen 3/English/007 - SQUIRTLE - 23A7C38EA9BA.pk3 b/Gen 3/English/007 - SQUIRTLE - 23A7C38EA9BA.pk3 deleted file mode 100644 index d8ee53d45c61e02b400af15eb1a0fbf6058419f5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmdnBvhQ%0Y-G>b)8`MLId^RT|6(SlQ>Pw3yZ!$^!*XQ?26hGphISxkaAROlWKajO U7?kC}6oQCgT~s*TLKh?e03{w4$p8QV diff --git "a/Gen 3/English/007 \342\230\205 - SQUIRTLE - 86B323B5B262.pk3" "b/Gen 3/English/007 \342\230\205 - SQUIRTLE - 86B323B5B262.pk3" deleted file mode 100644 index 1fc99eba6a3c0be0cd24031be70833d6b88fa708..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmYe=v{kuFHnQjJ>GOxroIAGve=!r&sZ)=i-TwcdVRIV;13Lo)Lpu;NxG^v&GN^-C U49ap~3PD7$F8c9#uQ5mf00>AI-T(jq diff --git a/Gen 3/English/083 - CH'DING - FD71151943D7.pk3 b/Gen 3/English/083 - CH'DING - FD71151943D7.pk3 deleted file mode 100644 index 99ec27af496b01e8f3c2fa969c6e3c8d99e52b2a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmccaEGe3$#K5rk(3X9NPaOQuz`(?`|JdcTXLtW+DE!O75X|t9p_Ty%+!+`gKr|32 WLnt6A#|i{o4F6b_Ov3+YfP?`?x)hoK diff --git a/Gen 3/English/086 - SEELOR - 039C482CAC89.pk3 b/Gen 3/English/086 - SEELOR - 039C482CAC89.pk3 deleted file mode 100644 index b37e7603495b1f810382019b693cb93e5d041dbd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmeBNqvKJl#=vlP|Ndhq&-`a#U|?c8xckihbLaju%wc9=2m^}L0x^R-1A{Dx1_FKv V1teL4K#q&yAFI-j$O>JMFaYhK64U?y diff --git a/Gen 3/English/097 - HYPNO - 74F13B5C29B8.pk3 b/Gen 3/English/097 - HYPNO - 74F13B5C29B8.pk3 deleted file mode 100644 index 17d193cd99f710a267e56b10720a7107e9bcfa61..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmdm?8Drfg8`*Q{@~IOi|1$sq6Vs_vkDuNC|DWMw2?IkSP^2OgNVqXD#4^Y-bTcF{ VNb+lFfKP5h%h1h`z#z%5 Sp#f3}2OH!bv6vfigZKarQxpjR diff --git a/Gen 3/English/101 - 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RAYQUAZA - B53D8715D835.pk3 b/Gen 3/English/384 - RAYQUAZA - B53D8715D835.pk3 deleted file mode 100644 index c998643cbaf7127db1350ede1ed7301cea125f43..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXrLA=)kx^J?Ll-Iq_F-+g8Ge+DL|Q>Pw3yZxVm!FDSH!!$+)hI3tP3?LxPFo)qQ Y!wCj{E>?c90E`Gd7I{eTv_6On03;F^{{R30 diff --git "a/Gen 3/English/384 \342\230\205 - RAYQUAZA - AA91A1EA5C18.pk3" "b/Gen 3/English/384 \342\230\205 - RAYQUAZA - AA91A1EA5C18.pk3" deleted file mode 100644 index 9b4c0d2a884099e3a9294c7ce15ec5f16c098732..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmb1$d9_dih|lc4eER(EE4%+QGBKSx_4wKC{|pQhS1~Y5V`N}B*Tu#F0>TV)7``%` WVBqIsPw3yZxVmVaFN%I#{d8T diff --git a/Gen 3/English/Egg Pichu.pk3 b/Gen 3/English/Egg Pichu.pk3 deleted file mode 100644 index 7fa1e47a524ef8aeb10336c8c17c105ff71a9859..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmcaOU%HF|2omzU|3d&H+wLpp&+h*JpW&wo1H&4iTrEfe7Xw2G!x;ukAX83+A0&bR N{~H#iDy9a41OVaD7ncA4 diff --git a/Gen 3/English/Navel Rock Ho-oh (Shiny).pk3 b/Gen 3/English/Navel Rock Ho-oh (Shiny).pk3 deleted file mode 100644 index b519b5861bba8e5fd032127aa8111b0f9f78b2cd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmX@U$-rMC=GDSOC)b@k^q+zGfiM%(sZ)=i-Tu$Okm<|7@QZ>KHyU YG%|>=vWkEOV8rEPoH<(G<$&A<0O2qgQUCw| diff --git a/Gen 3/English/Navel Rock Ho-oh.pk3 b/Gen 3/English/Navel Rock Ho-oh.pk3 deleted file mode 100644 index 48c8defe473634e315dc58045ada0d14de20eb23..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmd}pK$wZ?)TzhMZvSUs*u}}f@QZ( diff --git a/Gen 3/English/Navel Rock Lugia (Shiny).pk3 b/Gen 3/English/Navel Rock Lugia (Shiny).pk3 deleted file mode 100644 index ebbcc59e8a76c748599149a00531e4bb63b38905..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmca1qw!E8=GDSu=MNs<{hxvPfiM%(sZ)=i-Tu$OFkga!;U@zF!?`XtAj!ax$zZ|o afuWH>gq2kUEC3@eALC5?(x3q3HUI$MZ5V0* diff --git a/Gen 3/English/Navel Rock Lugia.pk3 b/Gen 3/English/Navel Rock Lugia.pk3 deleted file mode 100644 index f79a4ef3cb313ade611480215729261f1950199c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmZ3(a@gq2kUEC3@eALI0FlCuYL8vx2Q7kmH! diff --git a/Gen 3/English/Pichu.pk3 b/Gen 3/English/Pichu.pk3 deleted file mode 100644 index 5d020078bb3a3bc0dd113377e7ad9e4f85669543..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmcaOU%E_NtWe<8;k}2>|7T#{qQt~>=<1u@&#pda_<50mVGRQVLoE<9xG^wJ-u&6g!`(&mzgaDw-_iff;cvaYc^Ci z5f*|n6EqC?VAK*c1`{Y7GA0ukDEI}@WtdHo5XfReG-g}w@Qo%y!X#jSC==GA~XFe?juUP-^CpmO^u`KskOX+^-28^|U5Mm0L z;^JcKo6{7y&Kj8z*pZ9j$TO*jo(_B9}kDY zKt2G~NdWwdZ+HZN5>Nnsv3?%N&BZI5R~Q5i{62UFFO0rM%A}VMoj*j8Nty%&mg7}f zQAt^_C(!lnHFp(Gj3;ZpXkXS{u;+c8Gvf9$o%&|YJV_b8yok&dQ?sMxiuz)iRW=a{ zf~1MMVyaRE7rN)D85=rxv3tO%od0e7`s_kD&DfQiJTd<3%!E~~>IQ5Yj8@A`P^}#x zYxL$ptF8d}KPOH1UGsPH=_Z6&q#{*90v~N8FyuugxsPiSaskZhMR@@!smw zmweCT9LEh(mh-_MOFTuUctu@Btjy^KBxONn7_AiSyF!)q+m$tcneqbjF3vepMaphp z{d$=y<7FNqnKfk?-B_FFaqW6t+Qui_XtGOR*_QRKHXVNs=d|A?WwUPAlt8H&GG(t~ zN($6iMAj_S*q`d$`Oy$f)>Uj*1_EzBepJUfcRNU#yKC+(ks=dVje}5;SPsghEV%L4 zGdmpL;J~>1Y}%S3c4yc-$qkW7vHcDytIL>vz))mRG8IE)MU`cFQWnau_dPni_ivi) zfpyyK%F?Iz*5I7iPmwZx@N#b!MJ7T`m!Kx_2HJ8qgT0=QpRSl~rpe|blg!@S|MQ7` zew@>Hm6V;l@apYsicHWnUXfIt!j@2){<5? zMW%XHS>;(n(73Jd%H8Xpyt*g9!-?@^*G6Jwi6?EqReR$E&S^JDS&-9Ob7(Sakcs#; zfOwJYW@tT!D_^^LmL}_*v@a{K_gTBry8jX>tNx;=+e48VnyBf#D4Et#*dlA1JH7LM Z<04Jg^pAa6=d`mF=lodo9wVZgQC+qs zYDIMn4wtzBU1niwZf0TbY>4Kvbw!B>+sj%(CSrBjA7Wj`u&{0B`YMn)^S7Y7?AU{1 z_i!98GjcXEH!^XvFfnv>L~|MQ-AS(;f2iPcnYs?KE^Aomeup6)WX=)WY6b^(1^~&N BhZ_I@ diff --git a/Gen 3/English/Zigzagoon Egg.rar b/Gen 3/English/Zigzagoon Egg.rar deleted file mode 100644 index 53e95cd281b28db6b2964bb861530178c87c934d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 643 zcmWGaEK-zWXE;Bhn1O+p0Rr@PmMBc}Vh8~8K$xj-mbuoNh$b&t162kEpn#E?v4XCG zy}dnj=)n&Ez z2VUWFnYpu}sjI7{qmi?b3#!XLyk@h})tU7UWFj_~iPj*wj32Md7VJ~+F9n(76NT!s z^(FVdtiusz&c>#OE(Qi>&MvNQXfBh_FnWKM?E)^B1s*2aWeb^$+X_JD$mpZGYzJ221bSn46F=g X49Z+0Tp(dMI5{s-#ZZwM$Zr4u*7*`@ diff --git "a/Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - 32284B87F0BE.pk3" "b/Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - 32284B87F0BE.pk3" deleted file mode 100644 index a8e0d4241e467b17f0957dcc5222a89a5487e272..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmdn@q22r6{o^SGt-=2TiWrzHL>QR@gQEWb|IfgnVZ^{NodF0!f!K|KfstVX11m!r XgEE&07f2WmPR{H6wQ3tPklz3R7dsTr diff --git "a/Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - FA037942EF72.pk3" "b/Gen 3/Japanese/151 \342\230\205 - \343\203\237\343\203\245\343\202\246 - FA037942EF72.pk3" deleted file mode 100644 index 86dbff5a04777b7b28c46f1bc08945db8fb34a38..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXSV?^GH0CbO!bHTeIAL8vBouQY3A(VlEA%%f~kzoP@ aD?=HBGM5M!Py_)^&Rh8Z|9^X+Km!2mqZNPv diff --git "a/Gen 3/Japanese/249 - \343\203\253\343\202\256\343\202\242 - CB58460D6C30.pk3" "b/Gen 3/Japanese/249 - \343\203\253\343\202\256\343\202\242 - CB58460D6C30.pk3" deleted file mode 100644 index 4fcaa4eaa235654c99ea9342372fef9b3b9df254..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXrW;dSFZc9p%dBk=!*Li-CdRTo)UVWMIf-sAKrZ X(8wUd$|?dDfDxCEDLy#_R@49h9rP9b diff --git "a/Gen 3/Japanese/250 \342\230\205 - \343\203\233\343\202\246\343\202\252\343\202\246 - 928F46F1872A.pk3" "b/Gen 3/Japanese/250 \342\230\205 - \343\203\233\343\202\246\343\202\252\343\202\246 - 928F46F1872A.pk3" deleted file mode 100644 index 2081d8a1474c117bee29fc29f6c99448bc6de64a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmdOD|LDeh>?(U+aA@%VBnIXi!i-G8l_}-_|1&W3Phw#B#lXODu8R#wGB9K^)G>Ty YXk-v!WfcJnz=+Go6kmEQ&;@cE0QNE!Gynhq diff --git "a/Gen 3/Japanese/380 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - 07B392280E73.pk3" "b/Gen 3/Japanese/380 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - 07B392280E73.pk3" deleted file mode 100644 index 61e5047225f53b05989c1dbe23060622468cd7eb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXTs)0o72>?(VCazkM3e+Fg=QAVcV%9Qf|{}~uIvokPEXWY*amBhrr5XHct!5GJo Z$#8~&l}ki~0U3C1;?xcH11e%@003(W5jp?> diff --git "a/Gen 3/Japanese/380 \342\230\205 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - A08AAD0B6CD2.pk3" "b/Gen 3/Japanese/380 \342\230\205 - \343\203\251\343\203\206\343\202\243\343\202\242\343\202\271 - A08AAD0B6CD2.pk3" deleted file mode 100644 index 7cbbb6f356a9184014030b69b223fc3fdc85f4c4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmcbV!@ZXG*j4uO^lE0>4}12XX3#A$S1K^`d7006!<64d|z diff --git "a/Gen 3/Japanese/381 - \343\203\251\343\203\206\343\202\243\343\202\252\343\202\271 - DBDDF2961200.pk3" "b/Gen 3/Japanese/381 - \343\203\251\343\203\206\343\202\243\343\202\252\343\202\271 - DBDDF2961200.pk3" deleted file mode 100644 index 2a3b07a6b2883a6552c0de0c8e40c8883448b096..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmZP&n)ZqJ*j4uO4}12XX3#Ch;bunAD80RYR`6X^f| diff --git "a/Gen 3/Japanese/381 \342\230\205 - \343\203\251\343\203\206\343\202\243\343\202\252\343\202\271 - 5E14E6FB2725.pk3" "b/Gen 3/Japanese/381 \342\230\205 - \343\203\251\343\203\206\343\202\243\343\202\252\343\202\271 - 5E14E6FB2725.pk3" deleted file mode 100644 index e569931c0c523904e07ecff00d5536af7beff58b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmY#Y|NV^j*j4uOuP$|WMgfDAl0aeiuu)B*}M006b167K*2 diff --git "a/Gen 3/Japanese/386 - \343\203\207\343\202\252\343\202\255\343\202\267\343\202\271 - DD95FCCACD35.pk3" "b/Gen 3/Japanese/386 - \343\203\207\343\202\252\343\202\255\343\202\267\343\202\271 - DD95FCCACD35.pk3" deleted file mode 100644 index abb1309910e8868cda736584765aa9db7ed9b782..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXp#d+N`;Om~|pq2V#H{~4Hl6d9RLoqGK2_J0P3sdpI|W-&4_Tx(_k175}_3~>x1 Xj3OdjtPl|>xm&L5N%$f;Ag=)cROuDf diff --git "a/Gen 3/Japanese/386 \342\230\205 - \343\203\207\343\202\252\343\202\255\343\202\267\343\202\271 - FA9B3CAB6970.pk3" "b/Gen 3/Japanese/386 \342\230\205 - \343\203\207\343\202\252\343\202\255\343\202\267\343\202\271 - FA9B3CAB6970.pk3" deleted file mode 100644 index addecb2809724e371898641a8f3930ab832397df..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmXTOTx~Ni)7@rDXn0KQe+FhBMMkDmryf7M{hxth_Ads8S&R$}*P0o?fS2(JLmYz$ XqlgF>D?|iJ?w0F1n15Os$ZG%q4CxgU diff --git a/Gen 3/Japanese/RSEFL - e-Reader Mareep (JPN).pk3 b/Gen 3/Japanese/RSEFL - e-Reader Mareep (JPN).pk3 deleted file mode 100644 index 638b861d41050d3ee4f81fb399dde9c507c22e16..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmd06ocv+_{X+esigk1Ug8?Jc?q^q@1DOn-j~N&?GcYhHtOgS93=H86Aq-&*n;5v{ QL^OaR2+*)p9m-(@0K?ZAasU7T diff --git a/Gen 3/Japanese/RSEFL - e-Reader Scizor (JPN).pk3 b/Gen 3/Japanese/RSEFL - e-Reader Scizor (JPN).pk3 deleted file mode 100644 index c3655a23b49df9a920845145a2a7c2a3600c0e0f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmZ1;oOEpd{X+e$1<{57!GMuz_p__dflP)RVFrdP3=9k&FBpLY1H&bT7Yuw1iy1_e Q|&5)$OAcNr!g@60*ajLVq;)%V_?W+sAKrZ(8wUd U$|?d@3M2j>QxJ^YW&q*>00^BB+5i9m diff --git a/Gen 3/Spanish/152 - CHIKORITA - 98DE410611E4.pk3 b/Gen 3/Spanish/152 - CHIKORITA - 98DE410611E4.pk3 deleted file mode 100644 index 579e956c4d12d52b70e1f6d608f0967252ba58e1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmaDN$mS@>{+@a7p~FW{o;iGO_kVV#6Z=p8X8?kGGZ+|VFqkp6gE(#s47v=84Br@n X7&VkxSwTW@AkeBlHFk{vklz3RYCsik diff --git a/Gen 3/Spanish/155 - CYNDAQUIL - 1D237049F324.pk3 b/Gen 3/Spanish/155 - CYNDAQUIL - 1D237049F324.pk3 deleted file mode 100644 index 7d352110b1c0366fc8b6d56d00e694203d6aaebb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 80 zcmY%S>{%el{+@a7 Date: Sun, 20 Oct 2024 12:41:24 -0300 Subject: [PATCH 08/23] Delete Gen 5 directory --- ...147 \342\230\205 - Dratini - 3C5152DE00A0.pk5" | Bin 136 -> 0 bytes .../443 \342\230\205 - Gible - 901652D400AA.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/494 - Victini - 0047ACC6B2B1.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/495 - Snivy - BB304582D62E.pk5 | Bin 136 -> 0 bytes .../495 \342\230\205 - Snivy - E1EBF2EAA7B0.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/498 - Tepig - A60F9B3F20AB.pk5 | Bin 136 -> 0 bytes .../498 \342\230\205 - Tepig - BC82339B66C1.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/501 - Oshawott - BE724582D62E.pk5 | Bin 136 -> 0 bytes ...01 \342\230\205 - Oshawott - D57FBD9AE8C0.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/509 - Purrloin - 9262FF01007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/511 - Pansage - E6118EECA767.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/513 - Pansear - DBD469299A3C.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/515 - Panpour - 977500367AE8.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/518 - Musharna - B2DA11B8F0D7.pk5 | Bin 136 -> 0 bytes ...18 \342\230\205 - Musharna - B1DA35BA60E7.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/519 - Pidove - D4B1FF01007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/525 - Boldore - 8127FF00007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/527 - Woobat - 1E0FFF00007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/532 - Timburr - 93B0FF00003F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/535 - Tympole - A5FAFF01007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/551 - Sandile - E4DCFF01007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/554 - Darumaka - 8889FF00007F.pk5 | Bin 136 -> 0 bytes .../BW & B2W2/555 - Darmanitan - 66CBFF00007F.pk5 | Bin 136 -> 0 bytes .../BW & B2W2/555 - Darmanitan - 7C842711846D.pk5 | Bin 136 -> 0 bytes ... \342\230\205 - Darmanitan - 9F0EF7F5A2A8.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/559 - Scraggy - 9ACCFF00007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/561 - Sigilyph - DB8FFF01007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/564 - Tirtouga - 6930EDB30BBD.pk5 | Bin 136 -> 0 bytes ...64 \342\230\205 - Tirtouga - 69304B151969.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/566 - Archen - 875AEB52AEED.pk5 | Bin 136 -> 0 bytes .../566 \342\230\205 - Archen - 875A4FDA1DA1.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/570 - Zorua - 98175D6E607E.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/570 - Zorua - AE5E3F9205B2.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/570 - Zorua - EA98FF00001F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/571 - Zoroark - 303AF515A405.pk5 | Bin 136 -> 0 bytes .../BW & B2W2/593 - Jellicent - 8093A7578523.pk5 | Bin 136 -> 0 bytes .../BW & B2W2/593 - Jellicent - 95491EB3128A.pk5 | Bin 136 -> 0 bytes ...3 \342\230\205 - Jellicent - 8D5FCA199861.pk5" | Bin 136 -> 0 bytes ...3 \342\230\205 - Jellicent - F4D948AB1AD2.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/595 - Joltik - 12E7FF01007F.pk5 | Bin 136 -> 0 bytes .../BW & B2W2/597 - Ferroseed - 3102FF00007F.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/599 - Klink - B689FF000000.pk5 | Bin 136 -> 0 bytes ...612 \342\230\205 - Haxorus - 799C529200ED.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/636 - Egg - 31934F7CE4CE.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/638 - Cobalion - 1743780C6E71.pk5 | Bin 136 -> 0 bytes ...38 \342\230\205 - Cobalion - 8F5FB997ECC8.pk5" | Bin 136 -> 0 bytes .../BW & B2W2/639 - Terrakion - AEB8314BD417.pk5 | Bin 136 -> 0 bytes ...9 \342\230\205 - Terrakion - 26A8B997ECC8.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/640 - Virizion - 2CF3500346AB.pk5 | Bin 136 -> 0 bytes ...40 \342\230\205 - Virizion - 2696C3159648.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/641 - Tornadus - DEBCD2943C1D.pk5 | Bin 136 -> 0 bytes ...41 \342\230\205 - Tornadus - 8E6FBEE2EBBB.pk5" | Bin 136 -> 0 bytes .../BW & B2W2/642 - Thundurus - 2F7CD9FCB5F5.pk5 | Bin 136 -> 0 bytes ...2 \342\230\205 - Thundurus - A7EE5FF50AAF.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/643 - Reshiram - E9388D8C60C3.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/644 - Zekrom - 2E17236D656C.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/644 - Zekrom - D70833BDF2C5.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/645 - Landorus - 7C640D3DD65F.pk5 | Bin 136 -> 0 bytes ...45 \342\230\205 - Landorus - 3472B809ED50.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/646 - Kyurem - 6331693005AF.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/646 - Kyurem - 9F6F16504266.pk5 | Bin 136 -> 0 bytes .../646 \342\230\205 - Kyurem - 73701564403D.pk5" | Bin 136 -> 0 bytes .../646 \342\230\205 - Kyurem - A7B03F1D6D60.pk5" | Bin 136 -> 0 bytes .../B2W2 lv35 637 - Volcarona - 9EA6E10D2253.pk5 | Bin 136 -> 0 bytes ...7 \342\230\205 - Volcarona - 98A6D1668319.pk5" | Bin 136 -> 0 bytes .../B2W2 lv65 637 - Volcarona - 175CE569896B.pk5 | Bin 136 -> 0 bytes ...7 \342\230\205 - Volcarona - 1D5A189B4AE4.pk5" | Bin 136 -> 0 bytes .../BW 637 - Volcarona - 12F08C62F736.pk5 | Bin 136 -> 0 bytes ...7 \342\230\205 - Volcarona - 7858378662DB.pk5" | Bin 136 -> 0 bytes Gen 5/BW & B2W2/Deerling - Spring.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/Deerling - Summer.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/Deerling Autumn.pk5 | Bin 136 -> 0 bytes Gen 5/BW & B2W2/Deerling Winter.pk5 | Bin 136 -> 0 bytes ...63\343\202\244\343\203\253 - 2B50CA7C9898.pk5" | Bin 136 -> 0 bytes ...03\343\202\255\343\203\274 - B2C264644D27.pk5" | Bin 136 -> 0 bytes ...74\343\203\226\343\202\244 - B9D45B22C317.pk5" | Bin 136 -> 0 bytes ...74\343\203\226\343\202\244 - CD8DEEBCCB21.pk5" | Bin 136 -> 0 bytes ...57\343\203\274\343\202\272 - EBF89376AD3D.pk5" | Bin 136 -> 0 bytes ...00\343\203\274\343\202\271 - D76DFDA8D624.pk5" | Bin 136 -> 0 bytes ...71\343\202\277\343\203\274 - AE23690F7033.pk5" | Bin 136 -> 0 bytes ...52\343\203\245\343\203\274 - CE783EDE3F47.pk5" | Bin 136 -> 0 bytes ...01\343\203\203\343\202\257 - B4F1B85F270B.pk5" | Bin 136 -> 0 bytes ...74\343\203\225\343\202\243 - D1F59C41A162.pk5" | Bin 136 -> 0 bytes ...03\343\202\255\343\203\274 - B5300999A845.pk5" | Bin 136 -> 0 bytes ...42\343\203\253\343\203\274 - E064DAF1B43B.pk5" | Bin 136 -> 0 bytes .../Funfest/431 - Glameow - 2536209B4989.pk5 | Bin 136 -> 0 bytes .../Funfest/434 - Stunky - 18AF9725B255.pk5 | Bin 136 -> 0 bytes ...25\343\202\243\343\202\242 - B18BEBC2F8F4.pk5" | Bin 136 -> 0 bytes ...44\343\202\267\343\202\242 - FBB9DB754C28.pk5" | Bin 136 -> 0 bytes .../Standard/012 - Butterfree - F21BB2F0B0FA.pk5 | Bin 136 -> 0 bytes .../Standard/015 - Beedrill - CFA05E8426A6.pk5 | Bin 136 -> 0 bytes .../029 - Nidoran\342\231\200 - EA7EC5D6BB83.pk5" | Bin 136 -> 0 bytes .../032 - Nidoran\342\231\202 - D3D9E9892CF3.pk5" | Bin 136 -> 0 bytes .../Standard/035 - Clefairy - FDF1D643A6FA.pk5 | Bin 136 -> 0 bytes .../Standard/037 - Vulpix - FBA1304287FD.pk5 | Bin 136 -> 0 bytes .../Standard/048 - Venonat - 98B08732FA10.pk5 | Bin 136 -> 0 bytes .../Standard/055 - Golduck - 070719D160C3.pk5 | Bin 136 -> 0 bytes .../Standard/061 - Poliwhirl - DE3CB71D50F4.pk5 | Bin 136 -> 0 bytes .../Standard/089 - Muk - 96EE8DB5731B.pk5 | Bin 136 -> 0 bytes .../Standard/099 - Kingler - 8CCE7FFC56C5.pk5 | Bin 136 -> 0 bytes .../Standard/114 - Tangela - 20D3919308DC.pk5 | Bin 136 -> 0 bytes .../Standard/127 - Pinsir - 432660BD99B0.pk5 | Bin 136 -> 0 bytes .../Standard/132 - Ditto - 87AFE9F67195.pk5 | Bin 136 -> 0 bytes .../Standard/149 - Dragonite - 3A9458641788.pk5 | Bin 136 -> 0 bytes .../Standard/183 - Marill - CDE4F90BAFA3.pk5 | Bin 136 -> 0 bytes .../Standard/198 - Murkrow - E8E17A866914.pk5 | Bin 136 -> 0 bytes .../Standard/206 - Dunsparce - 5320059A9523.pk5 | Bin 136 -> 0 bytes .../Standard/207 - Gligar - C400B27AECD7.pk5 | Bin 136 -> 0 bytes .../Standard/210 - Granbull - 034F99E07AEA.pk5 | Bin 136 -> 0 bytes .../Standard/214 - Heracross - F3961C79B244.pk5 | Bin 136 -> 0 bytes .../Standard/215 - Sneasel - B5989509C9E0.pk5 | Bin 136 -> 0 bytes .../Standard/222 - Corsola - 46852E960CC1.pk5 | Bin 136 -> 0 bytes .../Standard/271 - Lombre - D16964B752EE.pk5 | Bin 136 -> 0 bytes .../Standard/279 - Pelipper - 45F710E3FF9E.pk5 | Bin 136 -> 0 bytes .../Standard/286 - Breloom - 4456EE1EF995.pk5 | Bin 136 -> 0 bytes .../Standard/297 - Hariyama - C9D73CEDB9DB.pk5 | Bin 136 -> 0 bytes .../Standard/299 - Nosepass - 5D826443C9B2.pk5 | Bin 136 -> 0 bytes .../Standard/308 - Medicham - 4C05ED09157F.pk5 | Bin 136 -> 0 bytes .../Standard/310 - Manectric - 1B8870A931EB.pk5 | Bin 136 -> 0 bytes .../Standard/333 - Swablu - 564471B44C37.pk5 | Bin 136 -> 0 bytes .../Standard/335 - Zangoose - 905339073CE5.pk5 | Bin 136 -> 0 bytes .../Standard/336 - Seviper - 31C71CAEB1E4.pk5 | Bin 136 -> 0 bytes .../Standard/359 - Absol - E411D7F6D0F4.pk5 | Bin 136 -> 0 bytes .../Standard/363 - Spheal - BD9AAEB3F01B.pk5 | Bin 136 -> 0 bytes .../Standard/371 - Bagon - 43BA0263AE98.pk5 | Bin 136 -> 0 bytes .../Standard/375 - Metang - 8D83B429781C.pk5 | Bin 136 -> 0 bytes .../Standard/400 - Bibarel - AB5AB761AFFD.pk5 | Bin 136 -> 0 bytes .../Standard/415 - Combee - BAABA84FB962.pk5 | Bin 136 -> 0 bytes .../Standard/417 - Pachirisu - 2F3955E08056.pk5 | Bin 136 -> 0 bytes .../Standard/425 - Drifloon - 618568E63187.pk5 | Bin 136 -> 0 bytes .../Standard/436 - Bronzor - D1223A00E3F1.pk5 | Bin 136 -> 0 bytes .../Standard/441 - Chatot - 0D849278C213.pk5 | Bin 136 -> 0 bytes .../Standard/451 - Skorupi - 71E068DEA5B0.pk5 | Bin 136 -> 0 bytes .../Standard/505 - Watchog - 3DFF7805200D.pk5 | Bin 136 -> 0 bytes .../Standard/507 - Herdier - 876EF4A0E4E7.pk5 | Bin 136 -> 0 bytes .../Standard/510 - Liepard - 4C5E79B90939.pk5 | Bin 136 -> 0 bytes .../Standard/523 - Zebstrika - 9440E8D85B09.pk5 | Bin 136 -> 0 bytes .../Standard/527 - Woobat - 55F9C6AE72B1.pk5 | Bin 136 -> 0 bytes .../Standard/542 - Leavanny - 2F488C49BAAA.pk5 | Bin 136 -> 0 bytes .../Standard/569 - Garbodor - 5D056D8F5672.pk5 | Bin 136 -> 0 bytes .../Standard/572 - Minccino - 7A2D441349DD.pk5 | Bin 136 -> 0 bytes .../Standard/590 - Foongus - BE8F0710AAE0.pk5 | Bin 136 -> 0 bytes .../Standard/591 - Amoonguss - 9F71E4DC09A3.pk5 | Bin 136 -> 0 bytes .../Standard/613 - Cubchoo - 830B0C2EAF6D.pk5 | Bin 136 -> 0 bytes .../Standard/619 - Mienfoo - 7FC3C325C539.pk5 | Bin 136 -> 0 bytes .../Standard/626 - Bouffalant - E7CD69477BAC.pk5 | Bin 136 -> 0 bytes .../\342\230\205 - Deerling Spring.pk5" | Bin 136 -> 0 bytes .../BW & B2W2/\342\230\205 - Deerling Autumn.pk5" | Bin 136 -> 0 bytes .../BW & B2W2/\342\230\205 - Deerling Summer.pk5" | Bin 136 -> 0 bytes .../BW & B2W2/\342\230\205 - Deerling Winter.pk5" | Bin 136 -> 0 bytes .../Dream Radar/English/DR Beldum ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Bronzor ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Dialga ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Drifloon ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Giratina ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Ho-oh ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Hoothoot ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Igglybuff ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Landorus ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Lugia ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Munna ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Palkia ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Porygon ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Ralts ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Riolu ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Rotom ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Shuckle ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Sigilyph ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Slowpoke ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Smoochum ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Spiritomb ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Staryu ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Swablu ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Thundurus ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/English/DR Togepi ENG [PPorg].pkm | Bin 136 -> 0 bytes .../English/DR Tornadus ENG [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Beldum JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Bronzor JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Dialga JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Drifloon JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Giratina JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Ho-oh JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Hoothoot JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Igglybuff JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Landorus JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Lugia JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Munna JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Palkia JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Porygon JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Ralts JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Riolu JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Dream Radar/Japanese/DR Rotom JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Shuckle JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Sigilyph JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Slowpoke JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Smoochum JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Spiritomb JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Staryu JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Swablu JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Thundurus JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Togepi JPN [PPorg].pkm | Bin 136 -> 0 bytes .../Japanese/DR Tornadus JPN [PPorg].pkm | Bin 136 -> 0 bytes 202 files changed, 0 insertions(+), 0 deletions(-) delete mode 100644 "Gen 5/BW & B2W2/147 \342\230\205 - Dratini - 3C5152DE00A0.pk5" delete mode 100644 "Gen 5/BW & B2W2/443 \342\230\205 - Gible - 901652D400AA.pk5" delete mode 100644 Gen 5/BW & B2W2/494 - Victini - 0047ACC6B2B1.pk5 delete mode 100644 Gen 5/BW & B2W2/495 - Snivy - BB304582D62E.pk5 delete mode 100644 "Gen 5/BW & B2W2/495 \342\230\205 - Snivy - E1EBF2EAA7B0.pk5" delete mode 100644 Gen 5/BW & B2W2/498 - Tepig - A60F9B3F20AB.pk5 delete mode 100644 "Gen 5/BW & B2W2/498 \342\230\205 - Tepig - BC82339B66C1.pk5" delete mode 100644 Gen 5/BW & B2W2/501 - Oshawott - BE724582D62E.pk5 delete mode 100644 "Gen 5/BW & B2W2/501 \342\230\205 - Oshawott - D57FBD9AE8C0.pk5" delete mode 100644 Gen 5/BW & B2W2/509 - Purrloin - 9262FF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/511 - Pansage - E6118EECA767.pk5 delete mode 100644 Gen 5/BW & B2W2/513 - Pansear - DBD469299A3C.pk5 delete mode 100644 Gen 5/BW & B2W2/515 - Panpour - 977500367AE8.pk5 delete mode 100644 Gen 5/BW & B2W2/518 - Musharna - B2DA11B8F0D7.pk5 delete mode 100644 "Gen 5/BW & B2W2/518 \342\230\205 - Musharna - B1DA35BA60E7.pk5" delete mode 100644 Gen 5/BW & B2W2/519 - Pidove - D4B1FF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/525 - Boldore - 8127FF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/527 - Woobat - 1E0FFF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/532 - Timburr - 93B0FF00003F.pk5 delete mode 100644 Gen 5/BW & B2W2/535 - Tympole - A5FAFF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/551 - Sandile - E4DCFF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/554 - Darumaka - 8889FF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/555 - Darmanitan - 66CBFF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/555 - Darmanitan - 7C842711846D.pk5 delete mode 100644 "Gen 5/BW & B2W2/555 \342\230\205 - Darmanitan - 9F0EF7F5A2A8.pk5" delete mode 100644 Gen 5/BW & B2W2/559 - Scraggy - 9ACCFF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/561 - Sigilyph - DB8FFF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/564 - Tirtouga - 6930EDB30BBD.pk5 delete mode 100644 "Gen 5/BW & B2W2/564 \342\230\205 - Tirtouga - 69304B151969.pk5" delete mode 100644 Gen 5/BW & B2W2/566 - Archen - 875AEB52AEED.pk5 delete mode 100644 "Gen 5/BW & B2W2/566 \342\230\205 - Archen - 875A4FDA1DA1.pk5" delete mode 100644 Gen 5/BW & B2W2/570 - Zorua - 98175D6E607E.pk5 delete mode 100644 Gen 5/BW & B2W2/570 - Zorua - AE5E3F9205B2.pk5 delete mode 100644 Gen 5/BW & B2W2/570 - Zorua - EA98FF00001F.pk5 delete mode 100644 Gen 5/BW & B2W2/571 - Zoroark - 303AF515A405.pk5 delete mode 100644 Gen 5/BW & B2W2/593 - Jellicent - 8093A7578523.pk5 delete mode 100644 Gen 5/BW & B2W2/593 - Jellicent - 95491EB3128A.pk5 delete mode 100644 "Gen 5/BW & B2W2/593 \342\230\205 - Jellicent - 8D5FCA199861.pk5" delete mode 100644 "Gen 5/BW & B2W2/593 \342\230\205 - Jellicent - F4D948AB1AD2.pk5" delete mode 100644 Gen 5/BW & B2W2/595 - Joltik - 12E7FF01007F.pk5 delete mode 100644 Gen 5/BW & B2W2/597 - Ferroseed - 3102FF00007F.pk5 delete mode 100644 Gen 5/BW & B2W2/599 - Klink - B689FF000000.pk5 delete mode 100644 "Gen 5/BW & B2W2/612 \342\230\205 - Haxorus - 799C529200ED.pk5" delete mode 100644 Gen 5/BW & B2W2/636 - Egg - 31934F7CE4CE.pk5 delete mode 100644 Gen 5/BW & B2W2/638 - Cobalion - 1743780C6E71.pk5 delete mode 100644 "Gen 5/BW & B2W2/638 \342\230\205 - Cobalion - 8F5FB997ECC8.pk5" delete mode 100644 Gen 5/BW & B2W2/639 - Terrakion - AEB8314BD417.pk5 delete mode 100644 "Gen 5/BW & B2W2/639 \342\230\205 - Terrakion - 26A8B997ECC8.pk5" delete mode 100644 Gen 5/BW & B2W2/640 - Virizion - 2CF3500346AB.pk5 delete mode 100644 "Gen 5/BW & B2W2/640 \342\230\205 - Virizion - 2696C3159648.pk5" delete mode 100644 Gen 5/BW & B2W2/641 - Tornadus - DEBCD2943C1D.pk5 delete mode 100644 "Gen 5/BW & B2W2/641 \342\230\205 - Tornadus - 8E6FBEE2EBBB.pk5" delete mode 100644 Gen 5/BW & B2W2/642 - Thundurus - 2F7CD9FCB5F5.pk5 delete mode 100644 "Gen 5/BW & B2W2/642 \342\230\205 - Thundurus - A7EE5FF50AAF.pk5" delete mode 100644 Gen 5/BW & B2W2/643 - Reshiram - E9388D8C60C3.pk5 delete mode 100644 Gen 5/BW & B2W2/644 - Zekrom - 2E17236D656C.pk5 delete mode 100644 Gen 5/BW & B2W2/644 - Zekrom - D70833BDF2C5.pk5 delete mode 100644 Gen 5/BW & B2W2/645 - Landorus - 7C640D3DD65F.pk5 delete mode 100644 "Gen 5/BW & B2W2/645 \342\230\205 - Landorus - 3472B809ED50.pk5" delete mode 100644 Gen 5/BW & B2W2/646 - Kyurem - 6331693005AF.pk5 delete mode 100644 Gen 5/BW & B2W2/646 - Kyurem - 9F6F16504266.pk5 delete mode 100644 "Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - 73701564403D.pk5" delete mode 100644 "Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - A7B03F1D6D60.pk5" delete mode 100644 Gen 5/BW & B2W2/B2W2 lv35 637 - Volcarona - 9EA6E10D2253.pk5 delete mode 100644 "Gen 5/BW & B2W2/B2W2 lv35 637 \342\230\205 - Volcarona - 98A6D1668319.pk5" delete mode 100644 Gen 5/BW & B2W2/B2W2 lv65 637 - Volcarona - 175CE569896B.pk5 delete mode 100644 "Gen 5/BW & B2W2/B2W2 lv65 637 \342\230\205 - Volcarona - 1D5A189B4AE4.pk5" delete mode 100644 Gen 5/BW & B2W2/BW 637 - Volcarona - 12F08C62F736.pk5 delete mode 100644 "Gen 5/BW & B2W2/BW 637 \342\230\205 - Volcarona - 7858378662DB.pk5" delete mode 100644 Gen 5/BW & B2W2/Deerling - Spring.pk5 delete mode 100644 Gen 5/BW & B2W2/Deerling - Summer.pk5 delete mode 100644 Gen 5/BW & B2W2/Deerling Autumn.pk5 delete mode 100644 Gen 5/BW & B2W2/Deerling Winter.pk5 delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/082 - \343\203\254\343\202\242\343\202\263\343\202\244\343\203\253 - 2B50CA7C9898.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/113 - \343\203\251\343\203\203\343\202\255\343\203\274 - B2C264644D27.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/133 - \343\202\244\343\203\274\343\203\226\343\202\244 - B9D45B22C317.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/133 - \343\202\244\343\203\274\343\203\226\343\202\244 - CD8DEEBCCB21.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/134 - \343\202\267\343\203\243\343\203\257\343\203\274\343\202\272 - EBF89376AD3D.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/135 - \343\202\265\343\203\263\343\203\200\343\203\274\343\202\271 - D76DFDA8D624.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/136 - \343\203\226\343\203\274\343\202\271\343\202\277\343\203\274 - AE23690F7033.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/148 - \343\203\217\343\202\257\343\203\252\343\203\245\343\203\274 - CE783EDE3F47.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/176 - \343\203\210\343\202\262\343\203\201\343\203\203\343\202\257 - B4F1B85F270B.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/196 - \343\202\250\343\203\274\343\203\225\343\202\243 - D1F59C41A162.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/197 - \343\203\226\343\203\251\343\203\203\343\202\255\343\203\274 - B5300999A845.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/372 - \343\202\263\343\203\242\343\203\253\343\203\274 - E064DAF1B43B.pk5" delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Funfest/431 - Glameow - 2536209B4989.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Funfest/434 - Stunky - 18AF9725B255.pk5 delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/470 - \343\203\252\343\203\274\343\203\225\343\202\243\343\202\242 - B18BEBC2F8F4.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Funfest/471 - \343\202\260\343\203\254\343\202\244\343\202\267\343\202\242 - FBB9DB754C28.pk5" delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/012 - Butterfree - F21BB2F0B0FA.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/015 - Beedrill - CFA05E8426A6.pk5 delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Standard/029 - Nidoran\342\231\200 - EA7EC5D6BB83.pk5" delete mode 100644 "Gen 5/BW & B2W2/Hidden Grotto/Standard/032 - Nidoran\342\231\202 - D3D9E9892CF3.pk5" delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/035 - Clefairy - FDF1D643A6FA.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/037 - Vulpix - FBA1304287FD.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/048 - Venonat - 98B08732FA10.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/055 - Golduck - 070719D160C3.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/061 - Poliwhirl - DE3CB71D50F4.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/089 - Muk - 96EE8DB5731B.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/099 - Kingler - 8CCE7FFC56C5.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/114 - Tangela - 20D3919308DC.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/127 - Pinsir - 432660BD99B0.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/132 - Ditto - 87AFE9F67195.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/149 - Dragonite - 3A9458641788.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/183 - Marill - CDE4F90BAFA3.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/198 - Murkrow - E8E17A866914.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/206 - Dunsparce - 5320059A9523.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/207 - Gligar - C400B27AECD7.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/210 - Granbull - 034F99E07AEA.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/214 - Heracross - F3961C79B244.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/215 - Sneasel - B5989509C9E0.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/222 - Corsola - 46852E960CC1.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/271 - Lombre - D16964B752EE.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/279 - Pelipper - 45F710E3FF9E.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/286 - Breloom - 4456EE1EF995.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/297 - Hariyama - C9D73CEDB9DB.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/299 - Nosepass - 5D826443C9B2.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/308 - Medicham - 4C05ED09157F.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/310 - Manectric - 1B8870A931EB.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/333 - Swablu - 564471B44C37.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/335 - Zangoose - 905339073CE5.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/336 - Seviper - 31C71CAEB1E4.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/359 - Absol - E411D7F6D0F4.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/363 - Spheal - BD9AAEB3F01B.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/371 - Bagon - 43BA0263AE98.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/375 - Metang - 8D83B429781C.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/400 - Bibarel - AB5AB761AFFD.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/415 - Combee - BAABA84FB962.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/417 - Pachirisu - 2F3955E08056.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/425 - Drifloon - 618568E63187.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/436 - Bronzor - D1223A00E3F1.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/441 - Chatot - 0D849278C213.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/451 - Skorupi - 71E068DEA5B0.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/505 - Watchog - 3DFF7805200D.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/507 - Herdier - 876EF4A0E4E7.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/510 - Liepard - 4C5E79B90939.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/523 - Zebstrika - 9440E8D85B09.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/527 - Woobat - 55F9C6AE72B1.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/542 - Leavanny - 2F488C49BAAA.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/569 - Garbodor - 5D056D8F5672.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/572 - Minccino - 7A2D441349DD.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/590 - Foongus - BE8F0710AAE0.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/591 - Amoonguss - 9F71E4DC09A3.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/613 - Cubchoo - 830B0C2EAF6D.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/619 - Mienfoo - 7FC3C325C539.pk5 delete mode 100644 Gen 5/BW & B2W2/Hidden Grotto/Standard/626 - Bouffalant - E7CD69477BAC.pk5 delete mode 100644 "Gen 5/BW & B2W2/\342\230\205 - Deerling Spring.pk5" delete mode 100644 "Gen 5/BW & B2W2/\342\230\205 - Deerling Autumn.pk5" delete mode 100644 "Gen 5/BW & B2W2/\342\230\205 - Deerling Summer.pk5" delete mode 100644 "Gen 5/BW & B2W2/\342\230\205 - Deerling Winter.pk5" delete mode 100644 Gen 5/Dream Radar/English/DR Beldum ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Bronzor ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Dialga ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Drifloon ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Giratina ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Ho-oh ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Hoothoot ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Igglybuff ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Landorus ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Lugia ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Munna ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Palkia ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Porygon ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Ralts ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Riolu ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Rotom ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Shuckle ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Sigilyph ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Slowpoke ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Smoochum ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Spiritomb ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Staryu ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Swablu ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Thundurus ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Togepi ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/English/DR Tornadus ENG [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Beldum JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Bronzor JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Dialga JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Drifloon JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Giratina JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Ho-oh JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Hoothoot JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Igglybuff JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Landorus JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Lugia JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Munna JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Palkia JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Porygon JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Ralts JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Riolu JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Rotom JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Shuckle JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Sigilyph JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Slowpoke JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Smoochum JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Spiritomb JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Staryu JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Swablu JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Thundurus JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Togepi JPN [PPorg].pkm delete mode 100644 Gen 5/Dream Radar/Japanese/DR Tornadus JPN [PPorg].pkm diff --git "a/Gen 5/BW & B2W2/147 \342\230\205 - Dratini - 3C5152DE00A0.pk5" "b/Gen 5/BW & B2W2/147 \342\230\205 - Dratini - 3C5152DE00A0.pk5" deleted file mode 100644 index c61ac8daa64dfc116169ea0fad2de5fe1cce4201..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ3$a4(2~A<$+r!wrU0VOv-jfI!)nfeAz-17!wnFjqtlB6{KXGj%Xa9Kv^DC}K!t rC}GHC$OGd4|3RWaQVb%?zz_h0`9L-4P&uHu5ED?gih+TJ5y$}m*2omz diff --git "a/Gen 5/BW & B2W2/443 \342\230\205 - Gible - 901652D400AA.pk5" "b/Gen 5/BW & B2W2/443 \342\230\205 - Gible - 901652D400AA.pk5" deleted file mode 100644 index 6bae4baa85a2916a907b78d7feb4466f0eb28c86..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ3*a3zR=L2SZq#v2T$!nUw50D&6^0~3fw28vLQGL$a9a+n>=1nXd6aA(M5NMgug mNM-o{AEpn;5{Iz^7y=mb8HyOv5%NMzVhjvb3=AxcKt%v=K@$-G diff --git a/Gen 5/BW & B2W2/494 - Victini - 0047ACC6B2B1.pk5 b/Gen 5/BW & B2W2/494 - Victini - 0047ACC6B2B1.pk5 deleted file mode 100644 index 24dc0f0405c07369eef267f9f76f7c968a101a72..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmdnE>DU?u26u*cj0_Bu%g-rQ2{16EEMj0{Km)N1{}_`PPBTdI%W;9EW-D&c1<@>Q zAd-P0j3JXDnV|$o<^l2l{~$3SDFUKFAOHyS8HyOv!E#`EAyz&H20Ne;{6KjCF)n&gEpA2EC&&eO8H_9X0bu|!3=o} pnG9tNl??y?Lqr%rEKwLcfFXb(pP`5$9U(8o#mB(F0z|ApMF8#G6~O=i diff --git a/Gen 5/BW & B2W2/498 - Tepig - A60F9B3F20AB.pk5 b/Gen 5/BW & B2W2/498 - Tepig - A60F9B3F20AB.pk5 deleted file mode 100644 index 43a80403788785a568b008e191b6cc16f97acc15..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ3jU_YCIfq&U2Mh1q-<>!>z85kJcoEVsZ6bevePzUps!>z85kJcoEVsZ6bevePzUpsVQh%5s`01)Og6fvZOWx%3BTzm`+EI`Bxag2sX#0SmIM-hU=bJ(ObamqjpAou;ARJM0Zac9T>t<8 diff --git a/Gen 5/BW & B2W2/511 - Pansage - E6118EECA767.pk5 b/Gen 5/BW & B2W2/511 - Pansage - E6118EECA767.pk5 deleted file mode 100644 index f33b1d55e3aebb0de1f80ec3e8710eee033c6a5f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmYda{-%$CLGamsMh1q-<>!=MFf%Z?1u-x&paCuhZH6iaF$QHhIew57pZ#C#6f*622RKUfc%}~Ygk5O4pjvpiw5+w_!88{&7 y0vHk*@)(L4Qh{_4!~g#vQ6MP_k!4^A0K$BrOgdB!C@#b$#=xM!z`()<vthObiT@%g-q-Xk%n>>tO)$P(eOJEu#%XJcEXuhzLl=G*g5Htb&&j zO!+dDG88jpFeEY*G2{Ws|Nj|4SQIP?Bm#giA1Id&lVM;G;*w%uP+(x-F#^g10PCO_ AoB#j- diff --git "a/Gen 5/BW & B2W2/518 \342\230\205 - Musharna - B1DA35BA60E7.pk5" "b/Gen 5/BW & B2W2/518 \342\230\205 - Musharna - B1DA35BA60E7.pk5" deleted file mode 100644 index 87a135d990553be70f837221708817c07bf6bf65..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmaE!u*;Nz;nqerCI*Jd<>!8vv zrhFMn8HyP)7!nzZ81jJR|NjgiEDDwc5&=M%50p!X$uKYoaY->SC@?Va7y;!0yC@hy diff --git a/Gen 5/BW & B2W2/519 - Pidove - D4B1FF01007F.pk5 b/Gen 5/BW & B2W2/519 - Pidove - D4B1FF01007F.pk5 deleted file mode 100644 index af93cfd8263fa5999116ae0c5e533aa3e21b2cd5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb*$U}g=41SFF8D}tZ@$-v-MDJCY5ChR5;0G0h@W7-H6VN181_l-xAQu2sXcEH! diff --git a/Gen 5/BW & B2W2/527 - Woobat - 1E0FFF00007F.pk5 b/Gen 5/BW & B2W2/527 - Woobat - 1E0FFF00007F.pk5 deleted file mode 100644 index d9aaa9e626bd12ca9776f7d21c3756db3dfc9b8c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb}xKS=am^?O^eEE`A{ x14A%FB10ZS3PUDC4nr!#f1sH_bN(}kfoKr$gNi|TU{Z)lgn>bcfq@642mk=&6ZHT9 diff --git a/Gen 5/BW & B2W2/554 - Darumaka - 8889FF00007F.pk5 b/Gen 5/BW & B2W2/554 - Darumaka - 8889FF00007F.pk5 deleted file mode 100644 index bf18c5c97ef99146beea76a375922cefe63c83c9..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmbQkcR-W41XEe8QB^5xkUIuqW7xb+k$2JK)M(h sTo@7=iWo{6a)ER<5dR073dCYyNg&||7J>1=v=EaB1A`I+0}n_M089ZAmH+?% diff --git a/Gen 5/BW & B2W2/555 - Darmanitan - 66CBFF00007F.pk5 b/Gen 5/BW & B2W2/555 - Darmanitan - 66CBFF00007F.pk5 deleted file mode 100644 index adc5a05bed566366dc8cc16d2c67b4b462eea1f5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb-RAP)gl8Fn*tF{U$eaq)A3MDJCC^{xnkXeKsB z5XIoakjPNPkP9U97%~}3!1VwB45DC3AQ1qB`9Kxv3_wvZW)R{MV_;BXVBk>($^!u9 CLKYkV diff --git "a/Gen 5/BW & B2W2/555 \342\230\205 - Darmanitan - 9F0EF7F5A2A8.pk5" "b/Gen 5/BW & B2W2/555 \342\230\205 - Darmanitan - 9F0EF7F5A2A8.pk5" deleted file mode 100644 index c8055432d1b49633508bb7e8d7460d2266aaf9e0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ3n=<9a|2EO^)ObiT@%g-qV_c1WIEo1=lP=PALZiX(#bVe>NelC#A5lMCnunGxA zFy+FK$WX+P3ncRxG8sz1^#A`1qF_lN5dehwKo#i>Kv6Je5aJSJU{GRU;86z30|2yD B7lQx* diff --git a/Gen 5/BW & B2W2/559 - Scraggy - 9ACCFF00007F.pk5 b/Gen 5/BW & B2W2/559 - Scraggy - 9ACCFF00007F.pk5 deleted file mode 100644 index e6a9a8fc06ded2675157d41b3975ee50db38ea50..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb<0?ql)AO@mAzz-@0;ekmZCJ_b(B?bl_kRkx9V-r9C diff --git a/Gen 5/BW & B2W2/561 - Sigilyph - DB8FFF01007F.pk5 b/Gen 5/BW & B2W2/561 - Sigilyph - DB8FFF01007F.pk5 deleted file mode 100644 index a4c530f765986ff79b1db151746d796a0bc0f8b0..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmbcc4Fdmo|ViI9sP-0-<0Vx6im@gAa diff --git a/Gen 5/BW & B2W2/564 - Tirtouga - 6930EDB30BBD.pk5 b/Gen 5/BW & B2W2/564 - Tirtouga - 6930EDB30BBD.pk5 deleted file mode 100644 index 7bea9b227c71ab5816360ae162686bb5551a5a5a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmdnXz40lYKs1O%B0|OATNCLS4f@2np diff --git "a/Gen 5/BW & B2W2/564 \342\230\205 - Tirtouga - 69304B151969.pk5" "b/Gen 5/BW & B2W2/564 \342\230\205 - Tirtouga - 69304B151969.pk5" deleted file mode 100644 index 3aaff60a8a557cda8c751fb53addd89a37cb1673..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmd0l6!m6cFvv7vVqiEGwuOb$mVv>Il>x{@1xFdbF??dU$|%Ch&jpg{uv=mZR>1~Q z7s8OqP{dHekk3%ckj{|E@c%yp2#Y~v85jb9FdwKQ9V`PD72;xNU;rW(Ngx*hwm20A diff --git a/Gen 5/BW & B2W2/566 - Archen - 875AEB52AEED.pk5 b/Gen 5/BW & B2W2/566 - Archen - 875AEB52AEED.pk5 deleted file mode 100644 index 726d028347fdbb58165b9b6efec52d5ffa64c4cc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmaF6F6cD_LsYvN69dDkuq`Z{whRnzjSN5@D#&I0#*oPHl~IIMjvpj*>6(=`ScN!5 vog+gLLo!1KLn=ca!~g#fF(54lVKFcS0AW5*O*&kbL5Pc;fdPnEB!P+m(-;NFUuv!p500==U(h>4P9IOlsK81fm4fH)CIW;6W%4-x~CV6`B201$#yq=V(a@qHE7kK~x diff --git a/Gen 5/BW & B2W2/593 - Jellicent - 8093A7578523.pk5 b/Gen 5/BW & B2W2/593 - Jellicent - 8093A7578523.pk5 deleted file mode 100644 index 4913866d72fa7fbcb5035e177f8e576bc8a500cf..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmY#x4PVZ{Fu5U+iGkr%*cKLsUknUxYz#miDo9|w#F)kSfkA|oixnheynZ<^h-PA9 z1W^oL45CI*I6VOv-jelak(u`vL7s33vy5@QzQ2L=&VE>@6??a!yWU=@6f zV9JXjl_3WRGZ~VBtUQJihW|joAP$xU5&=M%&rrmW4iskqV+J8EF$M;A1_o{opgaIT C=o)JP diff --git a/Gen 5/BW & B2W2/595 - Joltik - 12E7FF01007F.pk5 b/Gen 5/BW & B2W2/595 - Joltik - 12E7FF01007F.pk5 deleted file mode 100644 index 2184bcb17dd7c9133777564acfbdc8a9e565aafa..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb2ACM1YLunx<5e5cT1_ovspa1}&9TV69 diff --git a/Gen 5/BW & B2W2/599 - Klink - B689FF000000.pk5 b/Gen 5/BW & B2W2/599 - Klink - B689FF000000.pk5 deleted file mode 100644 index 4d59bbc3e65e21afebb433d79c5e2d6b816cad2e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZQzVEE6#(77#~iGcx#7^0kk0+wJVkcR*v3<^vl42K!z_(ixtqW7xb+k$8oVUR8c o25*KOhD?S$hHQraK=U8~$P$CG{gA|=VnRRz8B`eT^ B7YYCX diff --git "a/Gen 5/BW & B2W2/638 \342\230\205 - Cobalion - 8F5FB997ECC8.pk5" "b/Gen 5/BW & B2W2/638 \342\230\205 - Cobalion - 8F5FB997ECC8.pk5" deleted file mode 100644 index 59fab20eb65e7f10325ad4b1cf005ca8b33ed399..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmX@{X8KMBhWP$ECI*Jd<>!>qei4vNZA70ch-MK4 zkqivZ4EYR642cXm44FVy9>f3t3?K|v3z822!hD7zhIE(=1A`D3GXsMc0|UPnP#ysK C@fgzp diff --git a/Gen 5/BW & B2W2/639 - Terrakion - AEB8314BD417.pk5 b/Gen 5/BW & B2W2/639 - Terrakion - AEB8314BD417.pk5 deleted file mode 100644 index 1a96fe12b6e276d36066815b6c02a4fd6f940107..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmWf?;%&&luwz|469dEK@^eauG8q|^XE6YIsDO`=iD@o_D3b^)mk3Da%yc7B5Y564 zA{iJ$7*ZLEfH09En<0}SpCOOoKM*j0)q>;$fG{5@pAHmf0AmIrE@lP>PX-1qEucIA DavvBb diff --git "a/Gen 5/BW & B2W2/639 \342\230\205 - Terrakion - 26A8B997ECC8.pk5" "b/Gen 5/BW & B2W2/639 \342\230\205 - Terrakion - 26A8B997ECC8.pk5" deleted file mode 100644 index 871f038e4f5d564cbdb81ad7a741c4810f5161d4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmX@{X8KMBh81e{ObiT@%g-qt%4B3vp2Yy5|0LBbLT+9p%o(v3}T0nUK D9i|zR diff --git a/Gen 5/BW & B2W2/640 - Virizion - 2CF3500346AB.pk5 b/Gen 5/BW & B2W2/640 - Virizion - 2CF3500346AB.pk5 deleted file mode 100644 index 4fa60fb95174336c372bd1c40b71aee56db2b195..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ4O#vH)F@L8vUiGg8q`8lOSnT!m|vlxIpRKUl`#B_>5lu3k@O9Uh%@IA>0M6+;% zNCt*5hD?ScAg%)9e1<%R|Nj|47_1f~9{_~;Ko#jQ83qO+E@lP>a|Q+uEucIAJpUJV diff --git "a/Gen 5/BW & B2W2/640 \342\230\205 - Virizion - 2696C3159648.pk5" "b/Gen 5/BW & B2W2/640 \342\230\205 - Virizion - 2696C3159648.pk5" deleted file mode 100644 index 688995926b49fe90215536c6b5a72f30f8698102..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmea6CVH5GVVYV469dEK@^eauG8q|^XE6YIsDO`=iRl!BD3b^)mk3BET4fhl4GSYg xT^K_qLlF>H0dYP<9>f3t3?K|v3sMmPg!w=f=`a}v1|cqH1_pBm20ksIJOCw)7a;%u diff --git a/Gen 5/BW & B2W2/641 - Tornadus - DEBCD2943C1D.pk5 b/Gen 5/BW & B2W2/641 - Tornadus - DEBCD2943C1D.pk5 deleted file mode 100644 index 6c8fc1ddd65d3e239dbc0ed46414b7ad1838fb78..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb2OnR1DNVb8rrCI*Jd<>!8Ln%Ws!~g#bAS?=zWnc&ZLXe7dunbsKh>MwlL4<*UR|Cie0KP*O A=Kufz diff --git "a/Gen 5/BW & B2W2/641 \342\230\205 - Tornadus - 8E6FBEE2EBBB.pk5" "b/Gen 5/BW & B2W2/641 \342\230\205 - Tornadus - 8E6FBEE2EBBB.pk5" deleted file mode 100644 index b401b4cb5bac23996f63265431e5530a5232e930..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmdn}`q4fHhWx%pCI*Jd<>!!;ob5kCI*Jd<>! zl7S(LA(bJUp@<=$A(!F*e~1{67KgAH7y^JWA1I#=mIbR2Vr6DvP-kFZbOR~^0KX>{ A-T(jq diff --git a/Gen 5/BW & B2W2/644 - Zekrom - D70833BDF2C5.pk5 b/Gen 5/BW & B2W2/644 - Zekrom - D70833BDF2C5.pk5 deleted file mode 100644 index 27a0e069af4cc68075a36fa79792b1be7dbdab09..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmX^5X|FK@1IP6iCI*Jd<>!>5l7NgQ3_t=EJY-nRu!d2eNkoL76(sYaXSxZ9X5j&m z3=B~WsSMc+MGW~2xeWjRL&Siz2!zGJ5CDYvK>2jAELepQD<1=cIs*f*5l|5TG&dPn diff --git a/Gen 5/BW & B2W2/645 - Landorus - 7C640D3DD65F.pk5 b/Gen 5/BW & B2W2/645 - Landorus - 7C640D3DD65F.pk5 deleted file mode 100644 index 190995571384eef76334dbb42528aca866f0f1b8..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcma#QX3NXKkW$mi#K17Q{G8IcE;fd!`3yiFDwxX<$#9Y(ih+xZixnjE!K+Xhtbzxk z&W9n9A&()2A)ld$p_HMR;s1XI5Eg;RGB5-HAxJJACd0rW#Kp|O;Ksnf3B(Kl+|d~@ diff --git "a/Gen 5/BW & B2W2/645 \342\230\205 - Landorus - 3472B809ED50.pk5" "b/Gen 5/BW & B2W2/645 \342\230\205 - Landorus - 3472B809ED50.pk5" deleted file mode 100644 index 87961c6880cab79719a0c6f3c3fbf10ef8b4cbe6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmWG|%ejMrp~$3_iGg8q`8lO?U2F_d^BI6VR4|tzlHnvn6ayC*7b{5S?fWK0unIwl zIv<8ahCGH8hJ1!1hEj%NhX4N=Kv)DK%fJu-gdn+em<$7h5EnB8gBt?_ClE6L06sn% AI{*Lx diff --git a/Gen 5/BW & B2W2/646 - Kyurem - 6331693005AF.pk5 b/Gen 5/BW & B2W2/646 - Kyurem - 6331693005AF.pk5 deleted file mode 100644 index c95fcd68ebba6cb8da57d0fa131bf5b6c2fbb580..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ3_YLLmmV3^#-#K17Q{G8HzZVmzW0Yf*X5`}HVg<=`NuH7h(JWjb zl7YdSp^~ALp@<=sA(!F*e~1{67KN}F7y^JWA1I#=mIbR2;$miCuw`Ii_Xa8g0DV~% AXaE2J diff --git a/Gen 5/BW & B2W2/646 - Kyurem - 9F6F16504266.pk5 b/Gen 5/BW & B2W2/646 - Kyurem - 9F6F16504266.pk5 deleted file mode 100644 index 8b9208953b76b5ac782403f3804c368df64d71e2..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmYdu3J_yp$e-WF#K3SWYzxb|E;a@RJq92T73^S8Wtzq)$H)Z)Aem0iay}5vA^{>9 y7`z!O8A=(77*ZK>8UFu=hyiJF2#bLs00{Ge^66k%unHkAW(EdZ1_mBCpdtX#&lVj3 diff --git "a/Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - 73701564403D.pk5" "b/Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - 73701564403D.pk5" deleted file mode 100644 index 362124b35655266fdcc80a9ca042bc4697bf69e4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmcC@ND*aVC@5}YVqlnDeopB0q0Fmw$ AuK)l5 diff --git "a/Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - A7B03F1D6D60.pk5" "b/Gen 5/BW & B2W2/646 \342\230\205 - Kyurem - A7B03F1D6D60.pk5" deleted file mode 100644 index 32847ac2ad30dedbf414e3099d50c806fb7c3ad1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmYeum9=MJ*s#2fiGkr%*cO&^U2F^tdJI4wD%ioG$~28pj*$xpKr%lpJi%&Mpenr? vDj7-{iWpKEavA>rhv)^;;xJPJ7y=mbf%55KS+EKrE@lP>TLuPpH=rT_9$ps8 diff --git a/Gen 5/BW & B2W2/B2W2 lv35 637 - Volcarona - 9EA6E10D2253.pk5 b/Gen 5/BW & B2W2/B2W2 lv35 637 - Volcarona - 9EA6E10D2253.pk5 deleted file mode 100644 index d32d07dc737182e89fd51e9c9455ab512c8f8513..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmWGm;(f@#uxwr}(>;b$VOv-tFETK=88R?2pn*V!UIqb%U9xrFo=QFfIt8c<^$!@f#M8c%pk diff --git "a/Gen 5/BW & B2W2/B2W2 lv35 637 \342\230\205 - Volcarona - 98A6D1668319.pk5" "b/Gen 5/BW & B2W2/B2W2 lv35 637 \342\230\205 - Volcarona - 98A6D1668319.pk5" deleted file mode 100644 index 0fb44654678c9bd51118ad5349a94dbfa4adfd26..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmb1aPP@p!uxv&x(>;b$VOv-tfjl=u1||kH5XjKWAixmJpuw-q50c877;6WjnK(cs z149@?K0^*eGD9Lm5s;M!r2hi}gBV1Xfgu10^MP{dKyd~zW)R|HVPH^ZVBi5_1^@-z B89@L5 diff --git a/Gen 5/BW & B2W2/B2W2 lv65 637 - Volcarona - 175CE569896B.pk5 b/Gen 5/BW & B2W2/B2W2 lv65 637 - Volcarona - 175CE569896B.pk5 deleted file mode 100644 index a42fde7a595c64aa98f3691f7512eec110f40d97..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmd1q%zVng5F=j8bdTXw*cO(LHmnS8h73#$Xh4X;j`1-gBclkb2p34|+ASFo5X~e6 zA{iLM81fl%7?K$h8H#|cJRtoa2pGg5vJ4CXK$s7dO9zTGfH8v*7YhS}GSCP|pdtX{ Cj2RgK diff --git "a/Gen 5/BW & B2W2/B2W2 lv65 637 \342\230\205 - Volcarona - 1D5A189B4AE4.pk5" "b/Gen 5/BW & B2W2/B2W2 lv65 637 \342\230\205 - Volcarona - 1D5A189B4AE4.pk5" deleted file mode 100644 index 78c38aa0ac343c590b0aca66d91ba9955ae9e0e3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmaFjHCuv#AxgHE=^n$Wuq`YfZCDxH3>lah(0~ww9pht0Mn(}<5iXF_wOcYGU?o7^ zAP~lo&yd5A%#g@X1Z3p_>Hk2$AO?|TUP^iU74@ B7{CAk diff --git a/Gen 5/BW & B2W2/BW 637 - Volcarona - 12F08C62F736.pk5 b/Gen 5/BW & B2W2/BW 637 - Volcarona - 12F08C62F736.pk5 deleted file mode 100644 index f983e90ee47f9d3d053f7c3fb9703c0cd3feb588..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmXr}p47v@@Ik1S=^n%6@^eb(y4V=p3>lah(10D|V@5{Csf?^5TwEZjX!qZoAesqG zGBAWO9xrFo=NEfIt8c<^$!@f#M8c%pkXnr diff --git "a/Gen 5/BW & B2W2/BW 637 \342\230\205 - Volcarona - 7858378662DB.pk5" "b/Gen 5/BW & B2W2/BW 637 \342\230\205 - Volcarona - 7858378662DB.pk5" deleted file mode 100644 index bf59e9c8f1f0b3a5ce88795c299a8c53bc4dc449..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmcbe)Mn1W5K&RfbdOh8%`uhD3%UAS(|@{|5pF5r`}ULjVxw1Le|z;tXKSAjHMOzyLIa$qlFo02|^N AivR!s diff --git a/Gen 5/BW & B2W2/Deerling - Spring.pk5 b/Gen 5/BW & B2W2/Deerling - Spring.pk5 deleted file mode 100644 index 79898ae62aef9257f770bb0d16760ea2893e1884..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmdPko?*|x(DuZWiGkr%*cO(GOa=xw1qL7w73^eCVUS|5U=$JIVg<=$CjYku(M+6- zAd10-Ar%OV7;+dg8S)s?8UFug0AVq(B#;OI!hE1SL#L2?IAk4tPA_wFG0M{H8 A(f|Me diff --git a/Gen 5/BW & B2W2/Deerling - Summer.pk5 b/Gen 5/BW & B2W2/Deerling - Summer.pk5 deleted file mode 100644 index c5e8064a4e750de28339b75dccfc0e84b4fb7711..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmZ>9%4%R>=zr(Q#K3SWYzs?8CIf?;0t1kT3U)H6Fi0_2Fp7w9v4UhWlmFX-Xf9z! z5XIoakP3uF3^@#$40#Oc4FCT#fUp=?5=aC9VLnhEA_Eo`;$mT75N2Rtkppr88*3F_ diff --git a/Gen 5/BW & B2W2/Deerling Autumn.pk5 b/Gen 5/BW & B2W2/Deerling Autumn.pk5 deleted file mode 100644 index 2e6902a84c27d90d2166c8d862c2277558542234..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmeb3QEFmfnDNn*iGkr%*cO(GOa=xw1qL7w73^eCVUS|5U=$JIVg<=$CjYku(L!R3 zAd10-Ar%OV7;+dg8S)s?8UFug0AVq(B#;OI!hE1SL#LdFMAk4tPA_wFG04gyR AfB*mh diff --git a/Gen 5/BW & B2W2/Deerling Winter.pk5 b/Gen 5/BW & B2W2/Deerling Winter.pk5 deleted file mode 100644 index 12cedd08180171b47a7e818fef4f354054161e24..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmd-Ux;BM@Vc|VbCI*I6VOv-#G8q`$6c~U!RIrmlg+YqJf>A_-ixni3nf%`tL`yL< zf+z+ThEyOdV#s00WXNMkXZZi00ffcCl0YH=2=jsR5E-zj5DyCjgD?XFiyV*(04Mtu Ac>n+a diff --git "a/Gen 5/BW & B2W2/Hidden Grotto/Funfest/082 - \343\203\254\343\202\242\343\202\263\343\202\244\343\203\253 - 2B50CA7C9898.pk5" "b/Gen 5/BW & B2W2/Hidden Grotto/Funfest/082 - \343\203\254\343\202\242\343\202\263\343\202\244\343\203\253 - 2B50CA7C9898.pk5" deleted file mode 100644 index 277575db948d0b64ac7714dab26c5c3f5f512576..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmbO+qvjL?Lx6S=0|UdUuq`YVnG6hWQy3V5TokaI@gl=oMtepP5iSjoM7Slp2#98p zfGB-qu*hJu!4iYl2LJzq#6bYa5{IxD7!3X!{P+JK^xyqINFJ<)mqU<&p&w|398eJe Dghn1- diff --git "a/Gen 5/BW & B2W2/Hidden Grotto/Funfest/113 - \343\203\251\343\203\203\343\202\255\343\203\274 - B2C264644D27.pk5" "b/Gen 5/BW & B2W2/Hidden Grotto/Funfest/113 - \343\203\251\343\203\203\343\202\255\343\203\274 - B2C264644D27.pk5" deleted file mode 100644 index 37d2d1824e3a56466b01392764c33959f8bc9feb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 136 zcmY%QO-W&3IJBvdfq~&v*cO(A5C(>xW(Gze7X`F4urOsas4#Hxi->?E!Y$dsG?O4i x=}Uvd25Sxe82tZ_&<13S!*~Y&4gUN85Bl%^AEW}TikCx>fuWy)fkh6e2mr)d92fuq diff --git "a/Gen 5/BW & B2W2/Hidden Grotto/Funfest/133 - 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