visualization/batch-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "from cassandra.cluster import Cluster, PlainTextAuthProvider\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set(rc={'figure.figsize':(20,10)})\n",
    "\n",
    "auth_provider = PlainTextAuthProvider(username='cassandra', password='cassandra')\n",
    "cluster = Cluster([\"localhost\"], port=9042, auth_provider=auth_provider)\n",
    "session = cluster.connect('batchkeyspace')\n",
    "\n",
    "def pandas_factory(colnames, rows):\n",
    "    return pd.DataFrame(rows, columns=colnames)\n",
    "\n",
    "session.row_factory = pandas_factory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "rows = session.execute(\"SELECT * FROM max_consec_delay_year\")\n",
    "max_consec_delay_year = rows._current_rows\n",
    "rows = session.execute(\"SELECT * FROM max_consec_delay_year_src_dest\")\n",
    "max_consec_delay_year_src_dest = rows._current_rows\n",
    "\n",
    "rows = session.execute(\"SELECT * FROM dist_total\")\n",
    "dist_total = rows._current_rows\n",
    "rows = session.execute(\"SELECT * FROM dist_year\")\n",
    "dist_year = rows._current_rows\n",
    "rows = session.execute(\"SELECT * FROM dist_year_month\")\n",
    "dist_year_month = rows._current_rows\n",
    "rows = session.execute(\"SELECT * FROM dist_dayofweek\")\n",
    "dist_dayofweek = rows._current_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM max_consec_delay_year\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y=\"MAX_GIORNI\", hue=\"YEAR\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distance Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM dist_total\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y=\"TOTAL_DISTANCE\")\n",
    "plt.title(\"Distanza totale percorsa per OP_CARRIER\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM dist_year\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y=\"TOTAL_DISTANCE\", hue=\"YEAR\")\n",
    "plt.title(\"Distanza totale percorsa per OP_CARRIER per anno\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2880x2160 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM dist_year_month\")\n",
    "results = rows._current_rows\n",
    "fig, axes = plt.subplots(5, 2, figsize=(40, 30))\n",
    "\n",
    "fig.suptitle('Distanza totale percorsa per OP_CARRIER, per anno e per mese')\n",
    "\n",
    "sns.barplot(ax=axes[0, 0], data=results[dist_year_month[\"YEAR\"] == 2009], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[0, 1], data=results[dist_year_month[\"YEAR\"] == 2010], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[1, 0], data=results[dist_year_month[\"YEAR\"] == 2011], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[1, 1], data=results[dist_year_month[\"YEAR\"] == 2012], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[2, 0], data=results[dist_year_month[\"YEAR\"] == 2013], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[2, 1], data=results[dist_year_month[\"YEAR\"] == 2014], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[3, 0], data=results[dist_year_month[\"YEAR\"] == 2015], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[3, 1], data=results[dist_year_month[\"YEAR\"] == 2016], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[4, 0], data=results[dist_year_month[\"YEAR\"] == 2017], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "sns.barplot(ax=axes[4, 1], data=results[dist_year_month[\"YEAR\"] == 2018], x='OP_CARRIER', y='TOTAL_DISTANCE', hue=\"MONTH\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM src_dest_canc_code\")\n",
    "a = rows._current_rows\n",
    "sns.countplot(data=a, x=\"CANCELLATION_CODE\", hue=\"YEAR\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Delay Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM delay_total\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"AVG_ARR_DELAY\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM delay_year\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"AVG_ARR_DELAY\", hue=\"YEAR\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM delay_dayofweek\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"AVG_ARR_DELAY\", hue=\"DAY_OF_WEEK\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cancellation Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vzZZbbrlcQwEAAABQ/lo2Zqbvfve7OeWUU/L++++nV69e6dSpU6ZPn56JEyfmyiuvzM9//vMVnRMAAACAMtOoYmnPPffMiBEjMnLkyFxwwQV147t06ZLhw4fnq1/96goLCAAAAEB5alSxlCS9e/dO79698+9//zuzZs1K+/bts8kmmyRJpkyZks0333yFhQQAAACg/DS6WJo9e3ZefvnlrLvuunWF0vPPP5/LL788DzzwQJ5++ukVFhIAAACA8tOoYunPf/5zTj311Hz00UepqqrKhRdemCeeeCLjx4/PIYccknvvvXdF5wQAAACgzDSqWLrkkksyePDg9OvXL2PGjMngwYPTo0ePTJo0Ke3atVvRGQEAAAAoQ5WNmen111/P4YcfntVWWy0DBw7MggULMmLECKUSAAAAwCqsUcVSbW1t3fctWrTIGmuskdVXX32FhQIAAACg/DXqUri5c+fmm9/8Zt3wnDlz6g0nyY033rh8kwEAAABQ1hpVLI0YMaLe8CGHHLJCwgAAAADQfDSqWDrooINWdA4AAAAAmplG3WNp+PDh9YZHjx5db/jkk09efokAAAAAaBYaVSzdeuut9YYvvPDCesMPP/zw8ksEAAAAQLPQqGJp4cKFSx0GAAAAYNXTqGKpoqJiqcMAAAAArHoadfPumpqaPProo3VnKi1YsKDecG1t7YpLCAAAAEBZalSxtNZaa+XMM8+sG27fvn294Y4dOy7/ZCRJOrZbLS2qq0odo0E18+ZnxntzSx0DAAAAKJFGFUv33Xffis7BErSorsq0X1xQ6hgN6nzCj5IolgAAAGBV1ahiaeHChfn973+fF198MVtttVUGDBiwonMBAAAAUOYadfPukSNHZtSoUZk+fXouvvjiXHbZZSs6FwAAAABlrlHF0l133ZXf/OY3ufTSS3P99dfnjjvuWNG5AAAAAChzjSqWPvjgg2y88cZJki996Ut57733VmgoAAAAAMpfo++x9Nprr9UN19TU1BtOkg022GD5JgMAAACgrDWqWProo4/Sq1evLFy4sG7cvvvuW/d9RUVFnnvuueWfDgAAAICy1ahi6fnnn1/ROQAAAABoZhp1j6Vlsf322y/vRQIAAABQhpZ7sfTpy+UAAAAAWHkt92KpoqJieS8SAAAAgDK03IslAAAAAFYNiiUAAAAACnGPJQAAAAAKaVSxNHfu3EyZMqXBaVOmTMnHH39cN3z11Vcvn2QAAAAAlLVGFUu//vWv84c//KHBabfeemt+/etf1w3vuOOOyycZAAAAAGWtUcXSnXfemaOPPrrBaUcddVQmTJiwXEMBAAAAUP4aVSxNmzYtnTt3bnBa586dM23atOUaCgAAAIDy16hiafXVV8/UqVMbnPbmm29m9dVXX66hAAAAACh/jSqWunfvnosvvrjBaZdeemm6d+++XEMBAAAAUP5aNmamU045JYcffngOPPDA9OrVK506dcr06dNz7733Zvbs2bn55ptXdE4AAAAAykyjiqVOnTpl7Nixufbaa/Pggw9m1qxZad++fb72ta/lqKOOSrt27VZ0TgAAAADKTKOKpSRp165dTj311BWZhZVUx3bVaVHdqtQxGlQz7+PMeG9eqWMAAABAs9SoYmncuHGfOU///v0/ZxRWVi2qW+Xly/qXOkaDNho0LoliCQAAAIpoVLH0+9//vsHxFRUVeemll/Lee+8plgAAAABWMY0qln73u98tNu7555/PpZdemiT54Q9/uHxTAQAAAFD2Gn2PpUVefvnlXHbZZXnooYdy5JFH5sILL0zr1q1XRDYAykjb9tVpVVV+90v7eP7HeX+WS1oBAKAUGl0svfnmmxk1alQmTpyYgQMHZuLEiWnfvv0KjAZAOWlV1So//n3vUsdYzE8PuzvulQYAAKXRqGJp2LBhGT9+fA466KBMnDgxa6211orOBQAAAECZa/Q9llZfffXce++9mTRpUoPz/PnPf16euQAAAAAoc40qlm644YYVnQNgpdaufVWqq1YrdYwGzZs/N+/Nml/qGAAAQDPUqGJp5513XuK02traPPjgg8stEMDKqLpqtVz+2/1KHaNB3zviniSKJQAAYNkt86fCLfL8889n3Lhxuf3221NTU5NHH310eeYCAAAAoMwtU7H07rvv5vbbb8+4cePywgsvpKKiImeddVYOOeSQFZUPAAAAgDJV2ZiZ7rrrrhx//PHZa6+9MmbMmBxwwAGZNGlSOnbsmN69e6dVq1YrOicAAAAAZaZRZyydeuqpad++fS655JLsu+++KzoTAAAAAM1Ao85YOvfcc7P55pvn+9//fg477LD85je/ybvvvruiswEAAABQxhpVLA0YMCA33HBD7r333nTv3j2//e1vs9dee2XmzJm5//77U1NT85nLGDlyZHr06JGuXbtmypQpDc4zatSo7LbbbunXr1/69euXn/zkJ8u2NgAAAAA0mUYVS4ust956Oemkk3LPPffkhhtuyIABA3Leeedl7733/syf7dmzZ2688cast956S52vf//+GT9+fMaPH5+zzz57WeIBAAAA0IQadY+lJ598Mvfdd19OO+20unE77LBDdthhh7Rt2zbt2rX7zGXsuOOOxVMCAAAAUHYadcbSL3/5y+y0004NTttll13y1FNPLbdAEyZMSN++ffOd73wnkydPXm7LBQAAAGD5atQZS88991z23HPPBqftvvvuOfPMM5dLmIEDB+b4449PVVVVHn744Zx44om5884706FDh0YvY621Wi+XLE2lU6c2pY7wuTT3/MnKsQ7NnW1Qes19GzT3/MDKw+sRUA68FpXeqrQNGlUszZ49O/Pnz0+LFi0Wm7ZgwYLMmTNnuYTp1KlT3fd77LFHunTpkhdffDE777xzo5fx7ruzU1u78FPLLO+NOX36B0ud3tzzJyvHOjR3tkHprQzboJzXYVV4DgGfKOfXosTrEawqvBaVnm3QdCorK5Z6Ek+jLoXbZJNN8tBDDzU47aGHHsomm2xSLN1/mTZtWt33zz33XN54441svPHGy2XZAAAAACxfjTpj6dvf/nbOPvvs1NbWZp999kllZWVqa2szadKkDBs2LIMHD/7MZQwfPjwTJ07MO++8k6OOOirt27fPhAkTcuyxx2bQoEHZdtttc/HFF+eZZ55JZWVlqqqqcsEFF9Q7iwkAAACA8tGoYqlv37555513cvrpp2f+/Plp3759Zs2alaqqqgwaNCh9+vT5zGUMGTIkQ4YMWWz81VdfXff9yJEjlyE6AAAAAKXUqGIpSY466qgceuihmTx5cmbNmpX27dunW7duad26ed0sGwAAAIDlo9HFUpK0bt16iZ8OBwAAAMCqpVE37wYAAACA/7ZMZywBAAAA8Pl0bLd6WlSXZyVTM29BZrz3UaPnL8+1AAAAAFhJtahumbcvv6vUMRq09vf2X6b5XQoHAAAAQCGKJQAAAAAKcSkcAABAM9K+/ZqpqirPcwTmz6/NrFlzSh0DaEKKJQAAgGakqqoy40e/U+oYDep36BdKHQFoYuVZcwMAAABQ9hRLAAAAABSiWAIAAACgEMUSAAAAAIW4eTcAwCqiTfvVs1pVeR7+zZ2/IB/M+qjUMQCAZVSeRxYAACx3q1W1TJ8/jC51jAbdccih+aDUIQCAZeZSOAAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIUolgAAAAAoRLEEAAAAQCGKJQAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIUolgAAAAAoRLEEAAAAQCGKJQAAAAAKaVnqAAAAsKpo0371rFZVnofgc+cvyAezPip1DACamfJ8VwMAgJXQalUtM2DMI6WO0aBbD94tH5Q6BADNjkvhAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAU0iTF0siRI9OjR4907do1U6ZMaXCempqa/OQnP8k+++yTfffdN6NHj26KaAAAAAAU1CTFUs+ePXPjjTdmvfXWW+I8t99+e1599dVMnDgxt9xyS0aNGpXXX3+9KeIBAAAAUECTFEs77rhjunTpstR57rzzzhx66KGprKxMx44ds88+++Tuu+9uingAAAAAFNCy1AEWmTp1atZdd9264S5duuStt95a5uWstVbr5RlrhevUqU2pI3wuzT1/snKsQ3NnG5Rec98GzT1/Y82rmZ/qFlWljrGYcs1F87My7MvNfR2ae37Kg+dR6dkGpdfct8Gy5C+bYml5effd2amtXVg3XO4bc/r0D5Y6vbnnT1aOdWjubIPSWxm2QTmvw6rwHEo+2QYHjD271DEWc+dBP1lltkFzV877cdL8X4uSVePYjtLzPCo926D0mvs2aE75KysrlnoST9l8KlyXLl3y5ptv1g1PnTo166yzTgkTAQAAALA0ZXPGUu/evTN69Oj06tUrs2bNyqRJk3LjjTeWOhYAAPApbdqvkdWqWpQ6RoPmzq/JB7M+LHUMgFVKkxRLw4cPz8SJE/POO+/kqKOOSvv27TNhwoQce+yxGTRoULbddtv069cvf//739OrV68kyUknnZQNNtigKeIBAACNtFpVixx+679LHaNBtwzYJCv/BUAA5aVJiqUhQ4ZkyJAhi42/+uqr675v0aJFfvKTnzRFHAAAAACWg7K5xxIAAAAAzYtiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAAppWeoAAAAAQNPp2G6NtKhuUeoYDaqZV5MZ731Y6hgsA8USAAAArEJaVLfIWz97sdQxGrTODzcrdQSWkUvhAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEJ8KhwAQCO1ab9aVquqKnWMxcydPz8fzJpb6hgAwCpIsQQA0EirVVWlz5jrSx1jMXcc/O18EMUSAND0XAoHAAAAQCGKJQAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIUolgAAAAAopGWpAwBAU2jTvjqrVbUqdYwGzZ3/cT6YNa/UMQAAYJkplgBYJaxW1Sr733ZgqWM06K4Db8sHUSwBAND8KJbgM3RoV52W1eV5lsOCeR9n5nv+GAUAAKA0FEvwGVpWt8pjv+xT6hgN2uW7dyTOcgAAAKBE3LwbAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQlqWOgAAAACrjg7t10zLqvI8x2HB/NrMnDWn1DGgWVEsAQAA0GRaVlXmkf9veqljNGi3/9Op1BGg2SnPmhgAAACAsqdYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAU0rLUAQAAAJpKu/ZrprqqPP+/Pm9+bd6bNafUMQCWiWIJAABYZVRXVebSsW+VOkaDvn/QOqWOALDMyrOqBwAAAKDsKZYAAAAAKESxBAAAAEAhiiUAAAAACmmym3f/5z//yeDBgzNr1qy0b98+I0eOzEYbbVRvnlGjRuV3v/td1l577STJ9ttvn7PPPrupIgIAAACwDJqsWDr77LPzjW98I/369cv48eMzdOjQ3HDDDYvN179//5x++ulNFQsAAACAgprkUrh33303zz77bPr06ZMk6dOnT5599tnMmDGjKR4eAAAAgBWgSYqlqVOnpnPnzmnRokWSpEWLFll77bUzderUxeadMGFC+vbtm+985zuZPHlyU8QDAAAAoIAmuxSuMQYOHJjjjz8+VVVVefjhh3PiiSfmzjvvTIcOHRq9jLXWar0CEy5/nTq1KXWEz6W550+a/zo09/zJyrEOzV1z3wbNPX/S/NehuedfGawM28A6lF5zz580/3Vo7vmT5r8OzT1/0vzXobnnT5r/OixL/iYplrp06ZJp06alpqYmLVq0SE1NTd5+++106dKl3nydOnWq+36PPfZIly5d8uKLL2bnnXdu9GO9++7s1NYu/NQyy3tjTp/+wVKnN/f8SfNfh+aeP1k51qG5Wxm2QTmvQ3PPnzT/dVgV9uOk+W+Dcs6frBrr0NzzJ81/HZp7/qT5r0Nzz580/3Vo7vmT5r8OzSl/ZWXFUk/iaZJL4dZaa61sueWWueOOO5Ikd9xxR7bccst07Nix3nzTpk2r+/65557LG2+8kY033rgpIgIAAACwjJrsUrhzzjkngwcPzpVXXpm2bdtm5MiRSZJjjz02gwYNyrbbbpuLL744zzzzTCorK1NVVZULLrig3llMAAAAAJSPJiuWNt1004wePXqx8VdffXXd94vKJgAAAADKX5NcCgcAAADAykexBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIUolgAAAAAoRLEEAAAAQCGKJQAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFNKy1AEAgFVDm/arZbWqqlLHaNDc+fPzway5pY4BANDsKJYAgCaxWlVVvn7rZaWO0aAJAwblgyiWAACWlUvhAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIUolgAAAAAoRLEEAAAAQCGKJQAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFtCx1AIDGaN++KlVVq5U6xmLmz5+bWbPmlzoGAABASSiWgGahqmq13Hj9fqWOsZhvfvueJIolAABg1eRSOAAAAAAKUSwBAAAAUIhiCQAAAIBCFEsAAAAAFKJYAgAAAKAQxRIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwAAAAAUolgCAAAAoBDFEgAAAACFKJYAAAAAKESxBAAAAEAhiiUAAAAAClEsAQAAAFCIYgkAAACAQhRLAAAAABSiWAIAAACgEMUSAAAAAIU0WbH0n//8J4cffnj222+/HH744Xn55ZcXm6empiY/+clPss8++2TffffN6NGjmyoeAAAAAMuoyYqls88+O9/4xjdyzz335Bvf+EaGDh262Dy33357Xn311UycODG33HJLRo0alddff72pIgIAAACwDFo2xYO8++67efbZZ3PdddclSfr06ZOf/vSnmTFjRjp27Fg335133plDDz00lZWV6dixY/bZZ5/cfffdOeaYYxr9WJWVFYuPa7Pm51+JFaShvIvN06ZtEyQppjH5k6Rlm7VXcJLiGrMO1a2bd/4kWX0lWIc1W3dewUmKaWz+NmuWZ/6k8evQfo3yXIfG5l979ea/H6y9RvsVG6Sgxudvs4KTFNf4dWi9gpMU0/j8a6zgJMU1fh1WX8FJimvMOnRao1UTJCmmsdug0xpN8mdEIY1ZhzZrtGiCJMU0+thujfK9q0lj1qHVms07f5K0bNO816FF2+a9HydJZZvm/Xpa2aZ5vJ991rpULFy4cOGKDvTPf/4zp59+eiZMmFA37oADDsiFF16Yrbfeum5c3759M2LEiHz5y19Oklx99dWZNm1ahgwZsqIjAgAAALCMyrdiBQAAAKCsNUmx1KVLl0ybNi01NTVJPrlJ99tvv50uXbosNt+bb75ZNzx16tSss846TRERAAAAgGXUJMXSWmutlS233DJ33HFHkuSOO+7IlltuWe/+SknSu3fvjB49OrW1tZkxY0YmTZqU/fbbrykiAgAAALCMmuQeS0ny0ksvZfDgwXn//ffTtm3bjBw5MptsskmOPfbYDBo0KNtuu21qamoybNiwPPzww0mSY489NocffnhTxAMAAABgGTVZsQQAAADAysXNuwEAAAAoRLEEAAAAQCGKJQAAAAAKUSwBAAAAUIhi6b/MmjUre+21V55++um6cVdddVVOPvnk3Hrrrdlxxx3Tr1+/uq+LLrqohGkbdsYZZ+TCCy+sN+7b3/52dtppp7z00kv1xr/22mvZYYcd8uGHHzZlxKWaN29ezj///Oyzzz7p3bt3+vfvn0mTJtVNnzJlSo4++ujsu+++6dmzZwYNGpSpU6eWMHHDevTokd69e9c9V84999xMnz49J5xwQvr27Zv9998/48ePL3XMpfrzn/+cgw46KH379s0RRxyR1157Lcni69avX7+8/vrrJU5bX48ePTJlypR64wYMGJDHHnusbviUU07Jrrvumvnz5zd1vM+0pP34iiuuSI8ePfLBBx/UjT/66KNzww03NHXERvn0c6V3794ZMmRI3e/7kUceyYABA/L1r389X//61/P888+XOO3iFuU/8MADs+++++aEE07IU089lSS59dZbM2jQoBInbNjPf/7znH322XXDf/rTn9K1a9e8+OKLdeO++93vZvTo0enatWuOOeaYej/ftWvXzJkzp8nyLs38+fMzatSo7Lfffvn617+eAw88MIMGDcq//vWvunlmzJiR3XffvWy3x/z583PppZdmv/32S9++fdO/f/+cf/75mT9/frN4T2vo+bDLLrvUve4/+uijOfTQQ9OvX7/sv//+OfLII1NbW1uKqA1a2nHFY489lgEDBtSbf8qUKenRo0cpoi7RZ22DJKmpqcmee+6ZE044oanjNVpDx0ajRo3KyJEjSx2t0d577718+ctfzvDhw+uN+8EPfpA+ffqkb9++6devXx555JESplyyhvIvcv/996dr16659957S5BsyXr06JE+ffrUe13p0aNHfvvb32b//fevG/fBBx9kq622yo033lg37pprrslpp53WpHmXpqFj6GOOOSY33XRTvfkWLlyYnj175vHHHy9R0sUtLefll19e77Vn1qxZ2XvvvfPMM880dcwl6tGjR7761a+mpqambtytt96arl275re//W2S5Iknnsj//M//ZL/99kuPHj1y+umnZ+bMmaWK3KAl7Q9TpkzJ4MGD69Yl+eR4cMCAAZkxY8YKz9VyhT9CM9O+ffsMHTo0Z5xxRsaOHZv//Oc/ufHGGzNu3Ljcf//92X333XPZZZeVOuZSnXnmmenXr1969eqV7bbbLjfffHMqKirSp0+fjB07Nv/7v/9bN+/YsWOz3377ZY011ihh4vrOOeecfPjhh5kwYUJatWqVKVOm5Jhjjkm7du2y+eab56ijjsqQIUPq3kiuv/76fOc738ltt92WqqqqEqev77LLLsvmm29eN/zDH/4w22yzTX7xi19kxowZGTBgQHbeeed06dKlhCkb9t577+X000/PzTffnI033jjjx4/POeeck2uuuSbJ4uvW3MyaNSt/+ctfsvHGG+e+++7LfvvtV+pI9SxpPz7xxBPz3nvv5dxzz815552Xm2++OfPmzcu3vvWtUkdeokXPlZqamnzzm9/Mvffemx122CFnnXVWfv3rX2eTTTbJ3Llzs2DBglJHbdCnn+sTJ07McccdV7cflKtdd901w4YNqxt+/PHHs9122+Xxxx/PZpttlpqamjz55JM566yzkiT//ve/89e//jU77bRTqSIv0RlnnJG5c+dm9OjRadu2bRYuXJj7778///nPf/KlL30pySfvG927dy+bMuy/nXHGGfn4448zZsyYtG7dOgsWLMiYMWPyzjvvNKv3tIYsWLAggwYNyg033JAtttgiSfLss8+moqKixMn+n6UdV6xMHnzwway99tp56qmn8s477+QLX/hCqSM16L+PH0aNGlXCNMvujjvuyHbbbZcJEybkRz/6Uaqrq3PJJZekc+fO+dnPfpaKiorMnDkzH330UamjNqih/IuMGTMmu+66a8aMGZN99923hCkX9+GHH2b8+PE56KCD6sbttNNOGTlyZN3z/cknn8w222yTxx57LN/85jeTfPL+t88++5QqdoP+ex+46667ct111+V//ud/6sY99thjqaysLKv35YMPPniJOb/73e9m4MCBGTduXPr3759hw4bloIMOytZbb13CxItbe+2189BDD6V79+5JPvlbeFHGV155Jd/73vdy2WWXZeedd05tbW3OP//8nHzyyfXKmnLQ0P7waQsXLszw4cPz/PPP54Ybbkjr1q1XeCZnLDVgn332yZZbbpmLLroogwcPzhlnnJG11lqr1LEarU2bNvnpT3+aM844I//5z3/yi1/8IiNGjMjBBx+c8ePH17W0CxcuzLhx43LwwQeXOPH/88Ybb+Suu+7KOeeck1atWiVJNt988xx//PG5/PLL85vf/CY777xzvf9OfPvb307r1q0zYcKEUsVutOeffz577rlnkqRjx47ZYostctddd5U4VcNeeeWVfOELX8jGG2+cJOnevXseeuihJmm8m8Ltt9+e7t275xvf+EbGjBlT6jiLWdJ+XFFRkR/84Ad56qmncuONN+byyy/PueeeW1Z/xC3Jxx9/nI8//jht27bN7373u/Tr1y+bbLJJkmS11VZrkje9z6tXr14ZOHBg2RdL3bp1y+uvv5533nknSfLXv/41J554Yt0Ze88++2xat26dL37xi0mSk08+OT/72c9KlndJXn755UyaNCkjRoxI27ZtkyQVFRXZe++96/7oue222/KFL3yhrA6+P23ROgwfPrzuOd6yZcscfvjhGTNmTLN+T0uSOXPm5MMPP6xXYmy11VZl85r0WccVK5MxY8Zk4MCB2WeffTJu3LhSx1lpjRkzJieeeGK6du2aP/7xj0mSt956K507d6573nfo0CHrrrtuKWMuUUP5k2TmzJl59NFH87Of/SyTJ0/O9OnTS5hycd/73vdy+eWXZ968eXXjKioqsu2229ad1fP444/niCOOyAsvvJAkdf9E2XXXXUuSubF69uyZV155pd6VJbfeemsGDBhQNq+lydJzVlVV5fzzz8+FF16YG264IS+99FJOPPHEEqZt2EEHHZRbb701ySdX7nz44Yd1Jd9VV12VQw45JDvvvHOSpLKyMqeddlpee+21sjsDsaH9YZGampoMHjw4r776aq655pomO75WLC3Bj3/84/zhD3/IeuutlwMOOKBu/F/+8pd6py6OHj26hCmXbI899shOO+2UQw45JCeffHLWXXfdbLPNNunQoUMeeuihJJ+cul5dXZ0ddtihxGn/nylTpuSLX/xi2rdvX2/8V77ylTz//POZMmVKtttuu8V+brvttqt7EykngwYNqnuuPPjgg9l6661z5513ZuHChXnttdcyefLkvPnmm6WO2aCNN94477zzTt1lobfffnuS1F2i8el1++/LCMrFpzP269ev3hvhmDFjMmDAgPTq1St/+9vfMm3atBImbVhD+3HySQlz9tlnZ9iwYTnuuOOywQYblDjp0i3aDnvssUfWX3/9fPWrX82//vWvzJkzJ0ceeWT69++f8847r8E3x3K03Xbb1bsMqxytttpq+fKXv5zHH388s2fPzkcffZQ999yz7nLDxx9/vO7AKfmkMFuwYEG9y47LwbPPPpsNN9xwiWeWTJs2Lddff31++MMfNnGyxlvaOjS397SGtGvXLocddlh69eqV448/Pr/61a/K6lK+zzquSJKXXnqp3ntFuV5SuTQzZszIo48+mv333z8DBgyo+8OpHP33sVFz8vzzz2fWrFnZddddM2DAgLp/TB155JG54oorcsghh2TEiBFl90foIkvKn3xS0u+99975whe+kH333Tdjx44tYdLFbbPNNtl6660XuxRrl112qfunyV//+tfsuuuu2XDDDfPiiy/m2WefTZs2bcruOOm/j6Grq6vTt2/fuu0xe/bsTJo0aYlno5TKZ+XcbLPNcsghh+Tcc8/N+eefX5Zn3e68886ZMmVK3nvvvYwdOzb9+/evm/bCCy/kK1/5Sr35q6qqstVWWy12e41SW9L+kCRXXnllpk2bliuvvDKrrbZak2VSLC3BI488ktatW+ff//53vT92dt9994wfP77u69BDDy1hyqU7+uij06JFixxyyCF14w4++OC6F4NFf1iXk4ULF36u6eXmsssuq3uu7Lnnnhk8eHDeeeed9OvXLyNGjMhuu+2WFi1alDpmg9q0aZOf//znOe+88zJgwIC8++67adu2bV3eT69buR7Afjrj+PHjs+mmmyb55A+9999/P7vuumtWX3319OrVq2z/u9vQfpwkkyZNyjrrrJPnnnuuRMkab9F2ePTRR/Pxxx/n+uuvT01NTZ566qlcccUV+f3vf5+pU6fmV7/6VamjNkpzeR3aeeed89hjj+XJJ5/MDjvskBYtWtQdbD/++OPZZZdd6s3/gx/8IJdeemlZ3Rvnv/3rX/9Kv379st9++2X48OH58Y9/nNNOOy1rrrlmqaMV0lyeS0uy6D/pQ4cOzfjx49OzZ8/84x//SJ8+ffLyyy+XNtz/1Zjf8aabblrvvaLcb3nwaYu2wW233Zavfe1rad26dXbYYYfU1NRk8uTJJU7XsP8+NmpO/vCHP6Rfv36pqKhIr1698vTTT2fatGnZbbfd8qc//SknnHBCqqqqcsopp5Tle9qS8iefnHmyqCD49Fkd5eSUU07J1VdfXe+y55133rnunygffvhh1l577ey00055/PHHF/snSrlo6Bj6kEMOyW233Zaamprcdddd2X777bPOOuuUOOnilpZz/vz5eeCBB9K5c+ey/edIRUVF9t9//0yYMCETJkxInz59Gv1z5aah/SH5pGx94YUXmvw9QLHUgBkzZuTcc8/Nr371q2yzzTbN6gDj0yorKxfbCQ488MA89NBDee2113LffffVa2nLweabb55XX301s2bNqjf+b3/7W7p27ZquXbvm73//+2I/9/TTT6dr165NlLK4jh075qKLLsptt92Wq666KnPmzKm7R0g52n333XPTTTfl1ltvzRFHHJG5c+fWXTrTnI0ZMybvv/9+evbsmR49euTPf/5zWR5AJQ3vx4899lgefPDBjB07NpMnT84DDzxQonTLplWrVtl7773zl7/8Jeuuu2723nvvtGnTJtXV1endu3f+8Y9/lDpio/zjH//IZpttVuoYn2mXXXbJ448/Xu/eSTvttFMeeeSRPPnkk4sdbO++++5Za621ctttt5UiboO22mqrvPLKK3n//feTJF/60pcyfvz4fOtb38rs2bPzt7/9LWeddVZ69OiRkSNH5oEHHsixxx5b4tT1LVqH9957b7FpzeU9rWPHjvXelxcsWJDZs2enY8eOdeM22GCDHHrooRk1alS6deuWP/3pTyVIurjPOq5oLj5rG4wZMyYPP/xwevTokR49emTGjBlleZl3czZv3rzccccdGTNmTHr06JEDDjgg8+fPrzt+aN26dXr27Jkf/ehHOfvss+vO9C4XS8v/z3/+M//617/qXk9PO+20vP7663nyySdLHbueTTbZJN27d891111XN2777bfPG2+8kYkTJ2b77bdP8sl73WOPPVa2xVJDtthii6y99tp54IEHMmbMmLK6VcmnLS3nL3/5y2y44Ya59tprc9FFF+Xtt98uYdIlO+igg+ruc9WhQ4e68V27ds3f/va3evPOnz8/zz77bLp169bEKT9bQ/tD8knZevHFF2fQoEFNevN3xVIDfvKTn+Swww7LFltskbPOOit33HFHs/mD57N06NAhX/3qV3PKKadk5513ztprr13qSPWsv/766d27d84555x8/PHHST45jf2qq67K9773vRxxxBF57LHH6t2X6Prrr8/777+fr3/966WK3WgzZ86su0HxI488kilTpjS6KS+FRdfX19bW5uKLL87AgQPL6kbvRXz6wOq+++7LfffdV3d56BNPPFHidJ9tzpw5OeusszJ8+PB07Ngx5557bs4555zMnj271NE+U21tbf76179mo402Sp8+ffLYY49l3rx5WbhwYR566KG6G/+Ws0mTJuWmm27Kd77znVJH+UzdunWrO9hedGC944475sYbb0zbtm0bvDTghz/8YVndSHejjTZKz549M2TIkHqfhLjok0wff/zxuv349NNPz1577ZWrr766VHEbtNFGG6VHjx4ZOnRo3X5aU1OT0aNH131SZbm/p+2+++655ZZb6oZvueWWbLfddll99dUzZ86cPPTQQ3VnBr3//vt5/fXXs/7665cqbj2fdVzRXCxtGzz99NP54IMP8tBDD9XtD3fccUfuvvvusr2BdHP0xz/+MRtvvHEeeOCBut/ztddem7Fjx+bhhx+u278XLlyYZ599tmz2gUWWln/MmDE55phj6sbfd999Ofnkk8uynDz55JPzu9/9ru4sjVatWuXLX/5yfvnLX9a912299db55z//mSeffHKxs3PL2cEHH5xRo0bl5ZdfTs+ePUsdZ4kayvncc8/l97//fYYOHZpNN900Rx55ZL1Ppy0nG2ywQU499dTF7gF13HHHZfTo0XVlTG1tbS688MLstNNO2XbbbUsR9TP99/6wyG677Zaf//znTVou+VS4/3LnnXfm5ZdfzkUXXZTkk3sHDB06NGeeeWaOOOKIunssLbLNNttkxIgRpYpbyMEHH5zjjjuubG9aefbZZ+fiiy/OAQcckKqqqrRq1SpnnXVW3ZvFtddemwsuuCA/+9nPsnDhwmy55Za55ppryvI63v/29NNPZ8SIEamsrEyHDh1y1VVXZfXVVy91rCW65JJL8tRTT2X+/PnZY4896n2i4KBBg+puhJokw4cPL9sX3U/74IMP8sUvfjEbbrhhvfGLrhnfcccdS5SscS688MLsueeedQdK22+/fXr16pXzzz+/wY8OLgeLnivz58/PZpttlpNOOint2rXLnnvumf79+6dFixbZaqut8t3vfrfUURs0aNCgVFdX56OPPsqmm26aX/3qV9luu+3y0ksv5f77789ee+1VN++AAQNyyimnlC7sp7Rq1Srbbbddpk2bls6dOydJtt1220ybNi29e/du8Ge23XbbbL311vU+wrzUzjvvvFx55ZU55JBD0rJly7Rt2zZrr712jjvuuFJHa7Tzzz8/V1xxRQ4++OBUVVWltrY23bt3T//+/ZvFe9pZZ52VESNGpG/fvqmsrEyXLl1ywQUXJPnkj+gbb7wxP/3pT9OqVavU1NSkb9++ZfWJUks7rlh0b5Zyt7RtMGbMmHz961+vd3Zr586ds9VWW+Xuu+8uu/u0NOTmm2+ud8P6E088MQMHDixhosWNGTMmffv2rTeuW7duqa2tzeTJk3P++efXFawbbrhhhg4dWoqYS7S0/L/73e9y55131pvWp0+fHHjggRkyZEhZ/VNxnXXWSb9+/XLttdfWjdtll11y+eWX1/2tUFVVlQ033DCvvPJK2RV8yZKPofv06ZORI0fmsMMOq/dpfeXmv3POnz+/7gOvFp1FefTRR+fwww/PbbfdlgMPPLDEiRd3+OGHLzZu4403zqhRo3LxxRdn5syZeeedd9K9e/dceOGFJUjYOA3tD4vstttudWcuLfqkuxWpYmFzv8AfAAAAYDl56qmncuqpp2bYsGHp3r17qeOUPcUSAAAAAIW4xxIAAAAAhSiWAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEIUSwDAKuPWW29N3759s91222WPPfbI2Wefnffffz9JMmrUqGy99dbp1q1bdtxxxwwcODCTJ0/+zGW+/fbbOfPMM/PVr3413bp1S+/evXPZZZflww8/rJtn4cKF6dmzZw444IDFfv5b3/pWtt1223Tr1i277LJLvve97+Xtt9+um/5ZuR577LHstddeDS5v0dfxxx9fN+8WW2xRN36//fbLmDFjlv0XCQDwfymWAIBVwrXXXpuLLroop512Wp544onccsstefPNN3PUUUdl3rx5SZL9998/kydPziOPPJLtt98+J598chYuXLjEZc6aNSsDBw7Mxx9/nJtvvjmTJ0/Oddddl/fffz+vvvpq3Xx//etfM2PGjLz22mt5+umnF1vO0KFDM3ny5Nx777358MMPM3LkyHrTF+V69NFHs8suu+T73//+Utd10fIWfV111VV109Zee+1Mnjw5Tz31VM4888z8+Mc/zr///e9G/Q4BAP6bYgkAWOnNnj07o0aNypAhQ7LXXnulqqoq66+/fi655JK88cYbue222+rNX1VVlYMOOijTp0/PzJkzl7jc6667LmuuuWYuvPDCrL/++kmSLl26ZMiQIdliiy3q5hs7dmx69OiR7t27Z9y4cUtcXtu2bdOzZ888//zzDU5v2bJl+vbtm2nTpmXGjBnL8BtYXEVFRbp375527drlhRde+FzLAgBWXYolAGCl99RTT+Xjjz9Or1696o1fc80107179/zlL3+pN37evHm59dZb06VLl3Ts2HGJy33kkUey7777prJyyYdUH330Ue65554ceOCB6du3byZMmFB3htR/mzlzZu6999588YtfbHD6vHnzMm7cuLRv3z5t27Zd4mM2Rm1tbf74xz9m5syZ2XDDDT/XsgCAVVfLUgcAAFjRZs6cmQ4dOqRly8UPfTp16pRnnnkmG2+8ce6+++78+c9/TlVVVTbbbLNcfvnlS13urFmz0qlTp6XOM3HixFRXV2ePPfZITU1NFixYkPvvvz/77rtv3TzDhw/P+eefn9mzZ2eLLbbIueeeW28Zi3LNmTMnbdu2zWWXXdbgunx6eZ++nO6II47IKaeckuSTe0LtuOOOmTt3bmpqajJ48OBstdVWS10HAIAlccYSALDS69ChQ2bOnJkFCxYsNm369Onp0KFDkqR379554okn8sgjj+SGG27INttss9Tltm/fPtOnT1/qPOPGjcv++++fli1bplWrVunVq1fGjh1bb54hQ4bkySefzG233Zb3338/b731Vr3pi3I9/PDD2WyzzfLMM88s9TGHDBmSJ554ou5rUamUfHKPpSeeeCJPPfVUvvWtb+XRRx9d6rIAAJZGsQQArPS6deuW6urqTJw4sd74OXPm5IEHHshuu+1WaLm77bZb7r333tTW1jY4/a233sqjjz6a2267LXvssUf22GOP3HPPPXnggQcavEdS165dc8IJJ2TYsGEN3jS8Y8eOGTZsWEaNGlXvk+OKqK6uzv/+7/9mypQpmTRp0udaFgCw6lIsAQArvTZt2uSkk07K8OHD88ADD2T+/Pl5/fXXc8opp2SdddZJv379Ci33qKOOypw5c3L66afnjTfeSJJMmzYt5513Xp5//vmMHz8+G220Ue6+++6MGzcu48aNyz333JPOnTtnwoQJDS6zf//+eeedd/LHP/6xwembbLJJ9txzz/z6178ulPnTqqur853vfCdXXHHF514WALBqUiwBAKuEY489NqeeemouuOCC7LDDDjnssMPSpUuXXH/99amuri60zPbt2+emm25Ky5Ytc9hhh6Vbt275P//n/6RNmzbZcMMNM3bs2HzjG99Ip06d6n0NHDhwscvhFqmurs6RRx6ZK6+8comPe/TRR+f3v/993n333QanDxs2LN26dav7GjBgwBKXdfDBB+fNN9/Mfffdt2wrDwCQpGJhQ+dZAwAAAMBncMYSAAAAAIUs+XNqAQDI0KFDc/vtty82vm/fvhk2bFgJEgEAlA+XwgEAAABQiEvhAAAAAChEsQQAAABAIYolAAAAAApRLAEAAABQiGIJAAAAgEL+f9O5JSKbPsi1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_total\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"CANC_PERC\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_year\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"CANC_PERC\", hue = \"YEAR\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_year_month\")\n",
    "results = rows._current_rows\n",
    "results = results[results[\"YEAR\"]==2018]\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"CANC_PERC\", hue = \"MONTH\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_dayofweek\")\n",
    "results = rows._current_rows\n",
    "sns.barplot(data=results, x=\"OP_CARRIER\", y = \"CANC_PERC\", hue = \"DAY_OF_WEEK\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_total_src_dest\")\n",
    "results = rows._current_rows\n",
    "results = results[results[\"ORIGIN\"] == \"EUG\"]\n",
    "sns.barplot(data=results, x=results[\"DEST\"], y = \"CANC_PERC\")\n",
    "plt.title(\"Dato l'aereporto di EUG, si mostra la percentuale di voli cancellati per ciascuna destinazione\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = session.execute(\"SELECT * FROM cancellation_diverted_total_src_dest\")\n",
    "results = rows._current_rows\n",
    "results = results[results[\"ORIGIN\"] == \"SRQ\"]\n",
    "sns.barplot(data=results, x=results[\"DEST\"], y = \"DIV_COUNT\")\n",
    "plt.title(\"Dato l'aereporto di SRQ, si mostra il numero di voli cancellati per ciascuna destinazione\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}