2. Data Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## This notebook contains:\n",
    "\n",
    "- Data Visualization packages: matplotlib, seaborn\n",
    "- Multiple Data Visualization Charts / Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Visualization is the graphical representation of the data. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Types of Charts:\n",
    "1. Line Chart\n",
    "2. Bar Graph\n",
    "3. Scatter Plot\n",
    "4. Pie Chart\n",
    "5. Histogram\n",
    "6. Count Plot\n",
    "7. Box Plot\n",
    "8. Heat Map\n",
    "9. Strip Plot\n",
    "10. Swarm Plot\n",
    "11. Violin Plot\n",
    "12. Pair Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Univariant Plot - Helps to analyze the behavior of a single variable\n",
    "2. Bivariant Plot - Helps to analyze the behaviors of 2 variables\n",
    "3. Multivariant Plot - Helps to analyze the behaviors of multiple variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Plots using Matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Line Chart - bivariant plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  2.22222222,  4.44444444,  6.66666667,  8.88888889,\n",
       "       11.11111111, 13.33333333, 15.55555556, 17.77777778, 20.        ])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=np.linspace(0,20,10)   # linspace = linear space \n",
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  0.79522006, -0.96431712,  0.37415123,  0.51060568,\n",
       "       -0.99333304,  0.69395153,  0.15181837, -0.87805285,  0.91294525])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# y = f(x)\n",
    "# therefore y = sin(x)\n",
    "\n",
    "y=np.sin(t)\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb8ccf25310>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb8cd02be50>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,y,color=\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.        , -0.60632092, -0.26474988,  0.9273677 , -0.859815  ,\n",
       "        0.11527995,  0.72002171, -0.98840841,  0.47856368,  0.40808206])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y1=np.cos(t)\n",
    "y1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fb8cd26fac0>]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(t,y1,color='y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Sin t (y) and Cos t (y1) on the same line graph\n",
    "\n",
    "plt.plot(t,y)\n",
    "plt.plot(t,y1)\n",
    "plt.show()\n",
    "\n",
    "# Plot is not showing which line is sin or cos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Providing Labels to the data\n",
    "\n",
    "plt.plot(t,y, label=\"sinwave\")\n",
    "plt.plot(t,y1, label =\"coswave\")\n",
    "plt.show()\n",
    "\n",
    "# This data still doesn't show the labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kent7rQ+2AJBS0tvbS1JSkn8HHPkN7Pl3YwdlMScNbQOst6XPWa4cKnpUDR0AVgkhlgGtqA/7j3jvJITIAN4N3O3xXAoQI6UcdH9/E/ANHcYUGPYqaHhOfVgZ8IK/faaPY+0DfPsD5dN/0DK7murVtw2Ql+7nP2c001kHg+2zp4VAlZCCakldVOVzl6KiIlpaWtA1RbgASEpKoqioaO4dB9rghf9PeXZccb8h/xMWc+N0SY53DPCRLcatKNYIORBIKaeEEPcDr6DKRx+VUtYLIT7l3v6we9f3AzullMMeh+cDz7o/HOOA/5ZSvhzqmALGXgWHH4e+05C9QvfTP7bnLBmL4nlf5UXpZJ0tDYC6VgfXrV0AZX6NXt1GZyKzRPWAmkUwjo+PZ9myZToOzuISXv2mcowDw/4nLObmdPcQY5Muw4Vi0GkdgZTyReBFr+ce9vr5MeAxr+dOAxv0GENIeC4s0/lN39o/ys6GTv766mUsSoidfj4tKZ5lOSnTqwbnPU271d1+WsHs+wmhdAJLMA4Pbe/A0f/meMoW1g6/zcT5wyRYgSAsaJ8NRq8hgIW+slgjbx3Ep0CL/gvLtJLRj/loGFVamE7dQqgcGu2fvWzUm4IKtQLZuYD7MYUDKeGVByE5h793fppxGcfh/X8K96gWLA3tAyTExbAyT3+zem+sQAAQEwuFlboLxp4lo0VZl68gLi3MoOXCKP0jE7peN+KYLhu9yb/9bRUwNQa9VuM0Uzn+Bzj3FsNXfYH6/ngaRQmu1nemm55ZmEt9m8Mws3pvrECgYd+k0hFT+n0oP3ek9ZKSUW/K7GrK1zDf00NNu1Tev8jPJntR5k0wL5gah51fgdx1HMx+LwDpy6opiznLA8/U4HRZFVpmYrRZvTdWINCwV4NzAjr1aTUhpeQ/37q0ZNQbbZHIvE4PTZvUz1E26knOKohNtHQCM3n7EbhwBm7+J+raVT1H7pqtpDNMX+tJfr3/3BwnsNATzazeDH0ArEBwkWnB+LAup3v7TB/HOwa598qlM9YAL05JoDAjaX4Lxh21MNQxd9moJ7HxkL/eCgRmMdwLf/6u0nBW3kBNSz/LclJYVKz+Jz5U2MN3Xz5Bh2OBrHmJABpMaD3tiRUINDKKICVPN8H4sT1nyUyO545Kn902pim1Z1DXOo9nBN4m9f5imdmbx5+/AxNDqtkfUNvioNyeoRZaxibw8ZILTDpdfO35+jAPdOFQ3+Yw1KzeGysQaAih+g7pIBi39o/ySn0Hf7l5ySUlo74oLUzndM/w/HUsa9ytPtTnKhv1xlYBY/3Kn8DCOLpPwoFfQNW9kLeWnqFx2hxjVBRlQFwC5K0n40I9f3fDKl6u72BXQ2e4R7wgqG8bYFm2cWb13liBwBP7JlWpMtof0ml+tVflU32VjHpTVpiBlHC8Yx6mh0b74fz+wNJCGgXu5SWWYGwsO7+s2qxc9yUAat2z03L3yncKK6H9CP/7XctYW5DGPz5Xx9B8vWmJIBpM8CDwxAoEntjdnUjbgtcJxiadPHGgmZvWF/gsGfWm1F05NC9bUmtlo/6uH/Akv1Q1A7R0AuM49UdofAWu+ZxqAY5KCwmhUpYAFG6EMQfxA+f41gfK6RgY4/s7T4Rx0POf/hFlVm90x1FPrEDgSeFG9RhCemi6ZPSqpX7tX5CeRHZKwvxsSd0YYNmoJwnJkL3KmhEYhcsJr3xZtfTY+qnpp2taHCzPSSFVS0nYKtVj2xE2FWdx99YSHt9zlqPn+00f8kLBbKEYrEBwKYsy1YdPkJVDniWjW5f5Lhn1RgjhFozn2Yxgutvo9f6XjXpTUK6qjiz0551fQVc93PgNiLvohVvb2k9FUebF/dyCMe1HAPiHW9aQk5rIA7+rZcrpMnfMCwQzW0toWIHAm6JqVTkURLXKfj9KRn1RWpjOyc5BxqecAV8zYtHKRoNJC2nYKmCgJeLN7KOO8UH44z/Bkm2w/qKZYNfAGJ0D4xf1AZgWjGk7AkB6Ujxfv72UhvYBHn3rjMkDXxjUtznIT08kx0Czem+sQOCNvQqGu8DREvChj73lX8moN2WFGUy5JI2dQwFfM2IJtmzUk+kVxkdDH4/FRd78IQx3wy3fuqTF9LRQXOSVmy6sVH8D983RLWUF3LAujx/uauR83+wGQhaB09A+YKo+AFYguBz7JvUYoE6guox2cOfm4jlLRr0pmxaM55FO0LjLXTaaH/w5bO7KIUsw1o/+ZtjzI6j4y4uLKN3UtDiIEbDe5pWSsFWqUt4LZwGVzvz6HWUIAV95rs4yCNKRsUknp7qHTdUHwAoEl5NfrnKirYEtLJsuGb0icBOJJVnJpCXGzZ9WE6P9cP5t/5vMzUTyYkgvsgRjPdn9dVWNtf0fL9tU2+pgZV7q5bXrhZXq0a0TANgzF/H3N63hTye6+UNNu3HjXWAc7xjE6ZKXB2ODsQKBN3EJ6k42AMF4dEKVjN5cWoA9M3Bv0ZgYwfrC9PnTauL0a3Ob1PuLZWavH+cPQN3TcOX/VSvpPZBSUtvqmHbOu4S89cqtzK0TaNx75VLK7Rl8/X8acIxMGjjwhYNZZvXe6BIIhBC3CCFOCCGahBBf9LH9WiGEQwhxxP31j/4eGxbsVcqgw89++FrJ6D1XLg36kqWFGRxrH5gfXR4bd6uyUW1dRigUlENPI0wMz72vxcxICa88AKn5cNXfXba5c2Cc7sFxKnwFgrhE1fvJY0YAEBsj+PYHyukbHuc7Lx83aOALiwa3Wf2Sxcaa1XsTciAQQsQCPwZuBdYDdwkh1vvY9Q0pZaX76xsBHmsuRdXKqq977je3lJLH9gRWMuqLMns6Y5MuTndHuWDscimhOJSyUU8KKgAJnQ2hn8sHLpdkT1MPn/7vw7zrn/84fxur1f8OWg7A9V+BxMuNTmpa+gEo9ywd9cRWqWYEXnpAmT2DT1y1jN+83cyBs1Z1V6jUm2RW740eM4ItQJOU8rSUcgJ4ArhjjmP0ONY4PK0r50ArGf1fVwVWMuqNNiWPep2gsxaGOkPXBzRs7sqhDn0rh3qGxvnpn09x/ff/xEd+vp8/n+im5cIobzb16HqdiGByDHZ9Tc2uKj/ic5faVgexMWLm3HThxksEY08+e+Nq7JmL+NLvapmYstYWBItmVm/m+gENPQKBHfDsDNbifs6bK4QQR4UQLwkhSgM8FiHEfUKIg0KIg93d3ToMexYWL4ekTL8CQbAlo94sz0khMS4m+heW+WtS7y8ZS9TfQgfB2PPu/4pvv8q3XzpOXloS//qXlRx48AbSkuI4dO5C6GOONPb9Bzia4aaHlBufD2pbHazKS5254s2HYKyRkhjHN99XSmPXED/98yl9xrwAuWhWb64+APqY1/u6DfZOdB8GSqSUQ0KIHcDvgVV+HquelPJnwM8AqqurjU2kC6FmBXMEgpYLI+xs6OC+a1aQFB9Yyag3cbExrLOlR3+riabdquwzNU+f8wkRsmDcMzTOM4da+M3bzZztHSFjUTwf27aUj2xdwsq8tOn9NhVncXi+BYKhLnjjB7BmByx/t89dpJTUtji4fu0sfzNPwbj0/Zdtvn5tPrdV2Pj315q4rcLG8lzjfXZNw+WE3/1v9X3hRijcpN7jPlJsodDQbn5rCQ09AkELsMTj5yKgzXMHKeWAx/cvCiH+QwiR48+xYcNeBW/8ixIpE1J87vKrfcGXjPqitDCd54+2IaU0PUeoC6MXVLfRd/1/+p63oEI5aDknlWmNH7hckn2ne/n1283srO9g0inZsnQxf3fDKm4ts/kM3FUlWfxw90kco5NkLPLvOhHPaw/B1Cjc+M0Zd2lzjNE7PKFaT8/EDIKxJ19973peP9nNg8/W8d//e2t0vod90VkPdc+oAoi6Z9RzIgZy1qh1R4Ub1WN+2SXtOgKlvm2AhFhzzOq90SMQHABWCSGWAa3AncAliUghRAHQKaWUQogtqJRUL9A/17Fhw14F0qVWVJZcednm0Qknvz1wPuiSUV+U2TP49f5mzveNUpw9d+fSiOPUa+o106Ns1BPbBnCOQ89J1ZV0Fma6+79ryxJW5afNemxVSRZSwpHz/bx7da6ev0F46KyHw7+ELZ+EnJUz7lbboq0ozpz9fLZKaHhOCcY+PuTz0pL44q1refDZOp453MoHq4ouP0c0cn6/evzUmxCXpErL295RXYpPvgJHfq22x8RDQZmaMWgBInftjOk4b+rbHKwuSDXFrN6bkAOBlHJKCHE/8AoQCzwqpawXQnzKvf1h4IPA/xFCTAGjwJ1SLUf0eWyoY9IFTTBuOegzEFw0pl+q2yXLPDyMozIQNO1W+Xw9ykY9KShXjx21PgNBMHf/vtiwJJMYAYfOXYj+QCAlvPIgJKbDuz8/6661rf3ExQjWFsweKCmshMOPQ/85yFrqc5e7Nhfz7OFWHnqhgevX5rE4JSG48UcSzXshrVDpVULAmlvUF6jX2XHeHRwOq8eaJ+HgL9T2+GR1I+MZHBYvvyyQamb1N68P0MBJJ3Sxv5FSvgi86PXcwx7f/wj4kb/HRgSpuZBZ7FMn0EpG19nS2RJCyag3qwtSiYsR1LU62FFu0+28puByhd5tdCayV6k7sfYa2HDn9NOh3P37IjUxjnW2dA6dmwdlkI271MK+W76jVmjPQk2Lg9X5aXMHTI+W1DMFgpgYwbc+UM5t//YG//RCAz/4cGWgI488mvdD8TafsyCEUJ8TmcVQ+j71nMsFvU0XA0PbYRUY9v1YbU/KvJhOcgeIdlcW/SOT0/4kZmOOD1q0Yq9Wtdde7DutSkb/+S/Kdc2DJsbFsio/LTpXGE+XjeqcFgIVWPJLoaMGKSV7T/Xy328384r77n/z0qyA7/5noqoki2cOtTDldBEXhim6LjgnYeeDsHgFVP/VrLtqK4pvKfXjTjS/VKU/2o9c/NDzwer8ND55zQp+9FoTf7GpiKtW5gQ2/kii/7zqgFv8t/4fExMDuavVl3bj4pyErmOXBoc3/1WtwAeyk/J4JL6I9V3vhsZ3qSAxRwDXEysQzIa9Si3EGey8pHna434a0wdDaWE6rx3vij7BuHGnetSrbNSL0ZxSYuqf5ebvvcbZvtGQ7/5noqoki1/uPceJzsGwlPHpwqHHlJ5y529Uy5RZaLkwSv/I5OUdR30Rlwh561R+fA7uv34lf6hp48Fna3n5M9eEHKDDhqYPFG8L7Tyx8ar6zVah/KEBJkdVurP1MKcP/YllI0exv/NDeOeHantmySWzBlWppN973RMrEMyGphO0HYY1twIXS0Y/+e7QS0Z9UVaYztOHWugcGKcgI0n38xtG426VOtCrbBQuufvPOhbPN2MHKc3s5+9u3KLL3b8vNhVnAXD43IXoDASj/fDat2Dp1dPv2dm4zKN4LgoroeH5GQVjjaT4WB56fzkf/fl+fvTHJj538xr/zh9pNO+FhFTIm71IISjiF8GSLbBkCz84Wc2p0SH+eP8mNePSZg0th6D+WfcBAnLXwG3fh6Xv0nUoViCYDdsGELFKMHb/U/1q3zmEENzthzF9MGgrjOvbHNETCEYvQMvbcPXf63I6X7n/+0uvgOO/4MfXx8F646pRirIWkZeWyKFzF/jYFUsNu45hvPEv6u9x87dm/aDWqGlxEB8rWDOXUKxRuFFVIs0iGGtctTKHD2yy8/CfT3F7ZSGrdZy5mUbzfmW1qrfu5UVD2wAbizMhKR2WXaO+NIa6L1YptR6GZP1TbVYgmI2EZFU77RaMRyecPPH2eW4uzdetZNSbdbZ0hFBm9tvXhdDL30y0stEQ3Mhmyv3/7fZV7Ci3kSTH4dtuM/v1t+s4+EsRQlBVksWh5ihcWNZ3GvY9DBs/erE1xxzUtvaztiCdxDg/Z1d+CMaefPm29bx2vIsHflfLU5+8gpiYKEp3jjmgsw6uNbYXpmZWP+PNZWourL5JfRmEFQjmwl6lpmYuF78/0opjdJJ7DLxTTEmMY1lOSnStMG7cpSohioIrG/3V3rP84s0znO0dIT0pjru3lfCRLcVeuf9kyFltiodxVUkWL9V10DUwRl56lMzKAHZ9VXlpXPdlv3bXVhS/Z0Oh/9fwUzDWWJySwIO3redzTx3lNwea+ehWY2bShtByAJCh6wNz0BAGj2JvorQswkTs1TDmQPY28bgBJaO+KCvMiJ7KIa1sdOV2vxfOeFLb4uArz9WTkZzADz68gbcfvIGvvrfUtwBcUGGKSc2mErdOEE2zgrNvwbHn4V2fgXT/So+b+0YYGJvyXx8AD8H4iN+H/MUmO1euyOY7Lx2nayCKurs271OpYb3XxXgRztYSGlYgmAu3YNx05HXVZTRAY/pgKC1Mp7V/lAvDE4ZeRxc6apTHc5BpobdOqW6fj3y8ig9sKppdALZVwGAbDBvbIbS0MJ2EuJjoaUDncsErX4J0O1xxv9+H1bQEKBRrFFaqGYGfFpVCCB56fznjUy6+/gdj2okbQvM+tZhR555C3tS3DZhuVu+NFQjmIncNJKTSUvsGWcnx3F4ZwDQ6SC4KxlEwK5g2qd8e1OF7T/WyMi+VvDQ/UjAmmdknxsVSYc+InkBQ+6T6YN7+VaVr+XtYq4OEuJjARVxbpRKk+5v9PmRZTgr/97qVvFDTzh+PdwZ2vXDgnFRFIganhUAVhoS7Qs0KBHMRE8tYXgWL+2u4c0uxKfXQ2hQxKrwJGncFXTY66XRx4GwfVyzP9u+A6VYTxqeHqkqyqGsdYGzSafi1QmJiWPkQF26E8g8FdGhti4N1NjX7CYhZWlLPxiffvYJVeal85ff1DI/75/4XNjpqVLM+gwOBZlZvtkexN1Yg8IN3nMtZJ85xd7U5fUAykxOwZy6K/BnBSJ8S1IJcTVzT0s/IhJMrVvgZCJIXQ0axaTrBhNMV+aL9nh+pdNnN31YrWv3E5ZLUtTooD6alQV4pxMQFpBMAJMTF8K0PlNPaP8oPd50M/Lpm0rxPPS4xNhCccJvVh1MfACsQzMnohJOn2vNJEE7sY+aZbpTZ06lvjfAPodNat9Hgytr2nuoFYJu/MwJQswITZgTawrKITg8NtMNb/wrr74CSKwI69GzvMIPjU1TYMwO/bnyS3yuMvdm8dDF3bSnm0bfOUBfJ7+/mfWplr5/Ce7BoN3tWaijC+f2RVvaMLVU/tB407bqlhRmc7hlmKJKn0I27YVHWxRXYAbL3dC9rC9IC61Bpq4DeUzBurLdzbloiJdnJkR0I/vhNcE3BDV8P+NDpFcX+tJbwha0yIMHYky/espbFKYk88LtappwRaG0ppQoEJukDaYnmm9V7YwWCWZBS8thbZ1lcsBSZWuCXdaVelLmn7MfaIzQ95NltNIiy0fEpJwfPXvA/LaQxbWZvfLfyquIsDp3rRwbxYWc4bUfgyH/D1k/B4mUBH17b4iAxLoZVwZqgFG4MWDDWyEiO56vvXU9tq4PH954L7vpGcuGMqoQzJRAMsK7QfLN6b6xAMAt7T/dyonOQe69ahvDDulJPtKlixE6fO46GVDZ6pLmf8SmX/0KxxrSZvTk6Qc/QOOf7Rg2/VkBoXgPJi+GazwV1ippWB+sL04PvsBqkYKzxngob167J5fs7T9DaH2Gvr0n6gGZWH259AHQKBEKIW4QQJ4QQTUKIy9ZjCyE+KoSocX/tEUJs8Nh2VghRK4Q4IoQwL/fiB4/vOXuxZLSoSvUYHzUnVZCXpuqKI9bMvnG3egyy2+ieU70IAVuXBRgI0u2waLHhJaSgKocADjVHmD/B8Rfg3Jtw3ZeUfWKAOF2S+lYHFYGuH/AkSMFYQwjBN+8oQ0r46nN1kTXrat6nXtfctYZe5kxP+MzqvQk5EAghYoEfA7cC64G7hBDrvXY7A7xbSlkBfBO3Cb0H10kpK6WUxi7hC4DzfSPsaujkLq1kVMuDtx425fpCCCUYR2rVStMulR5IDc7Ja+/pXsoKM8hIDtAbWAcze39ZnZ9GamJcZOkEUxOw6yvKL3fTvUGd4kzPEMMTzrmtKWdDE4yDnBEALFmczGdvXMXuY128XNcR/Fj0pnkfLNkaUBVWMFwUiufHjGAL0CSlPC2lnACeAO7w3EFKuUdKqf037UOZ1Ec0/+XdZbRwIyBMTg+l09g1FHm17FrZaJBpobFJJ0ea+wPXBzQKKpTJh3MyuOP9JDZGsLE4k0Pn+g29TkAceEQ1l7v5oaA7YgbcenombJVqRhDC3fwnrlrGels6X32+noExY/+efjHSBz0nTNMHwmVW740egcAOnPf4ucX93Ez8FfCSx88S2CmEOCSEuE+H8YTM6ISTJw6c55bSAgq1LqNJGarpmZmCcWEGTpfkZOegadf0i1N/DMmk/tC5C0w4g9AHNAoqwDkB3ceDOz4ANhVncaJjgMFI+ZD68z/Diu0hOcHVtDhYFB/LityU0MZTWAmjfcqzN0jiYmP49gfK6Rka53svnwhtPHowbUQTWDluMDS0DYTNrN4bPUbgS+72eYsghLgOFQi+4PH0VVLKTajU0qeFENfMcOx9QoiDQoiD3d3doY55Vqa7jHob02uCsUn5TK3VRMTpBE2hlY3uOdVDbIxgc7DN+6YFY+M7kVYvzcIl4cj5fsOvNSd//mcYH4Sb/imk09S2OCgNRSjWsG1Uj0HqBBoblmTy8SuW8l/7z4U/Dde8T3VXLdxo6GWUWb2DUlv49QHQJxC0AEs8fi4C2rx3EkJUAD8H7pBS9mrPSynb3I9dwLOoVNNlSCl/JqWsllJW5+YGl5f2B61kdL0tnc1Lsy7dWFQFw91BlcwFQ1HWItKT4iKr1cR02Whw3UZBLSSrKMogNTHILujZKyE+2ZQVxpVLMhEiAhaW9TTCgZ/DpnuUR0aQOF2S+raB4NcPeJKvCcaBLyzz5nM3r6EgPYkv/a6WyXCuLWjep4JAvLF1/e2OMS6E0azeGz0CwQFglRBimRAiAbgTeN5zByFEMfA74GNSypMez6cIIdK074GbgDodxhQ0F0tGfXQZnRaMzUkPCSEojbSW1B1HVTAMMjUxPD5FTYsj+LQQqADkNrM3mrSkeNbkp4U/EOz8CsQtguseDOk0p7qHGJ10hq4PgBKMc0MTjDVSE+P4+u2lnOgc5JE3Toc+tmCYHFMuYMVbDb+U9j8d7h5DGiEHAinlFHA/8ApwDHhSSlkvhPiUEOJT7t3+EcgG/sOrTDQfeFMIcRR4G3hBSvlyqGMKhcfeOsvilARu92XWkVcKsYmmC8bH2wciZwVmo7vb6Irguo0eONvHlEsGLxRrFFSo1JDL+NelqiSLI839OF1hKnE8/Sc4+RJc8/dBV2lpaK2nK/SYEQAUbghZMNa4qbSAm0vz+X+7GznXOxz62AKl/YjSnkzSB4RQjoSRgC4qhZTyRSnlainlCinlQ+7nHpZSPuz+/q+llFnuEtHpMlF3pdEG91epdmy4ON83wu5jndy5eYnvLqNxCcrH2NQVxhmMT7k41R2GfwxfNIZeNhofK6guCdHcx1YB4wPQfza08/hBVUkWg+NTNHaFQbR3OdXiscxi2Pp/Qj5dbUs/KQmxLMvRqVLFVhmyYOzJ128vIz42hi//PgxrC6YXkpkxI3CwLDuFlGDTozoTfrk6grisZNQX9ip1B+Q0pweQ1moiIlYYj/SpfktBNpkDpQ9ULslkUUKI7by1ltQm6ATTC8vCkR468mvlm3vD11UqJkRqWx2U2jOI1cs7uHCTegxRMNYoyEji87es4Y3GHp47cpnUaCzN+yB7FaTobw7vTX3bQFitKb2xAoGbkYkpfvN286Ulo76wV6k+5d3HTBnXspxUFsXHRoZgrJWNBrl+YGBskrpWB1es0OEfLa9U2QiaUDlUvDiZnNQE8wPB+CC8+k11h1r6/pBPN+V0KaFYD31AQxOMddAJND66tYTKJZl88w8N9I+Y5NLncqnSURP0Ac2s3goEEcjv32ljYGyKe69aOvuORW7BuMWcbhixMYJ1trTIEIybdqv2DvZNQR3+9uk+XJLQhGKN+CTlHmeCYCyEYFNxFofNDgRv/qvq53Tzt9SK6hBp7BpifMqlnz4AFwVjnWYEoN7z3/5AOY7RSb71ojk3XPQ2qhSXGfrAtEdxZJSOghUIAHfJ6J4zlBamU12SNfvOWctUDb3JDega2gZwhUusBHXH1Lgr6G6joPSBhLgYNhZn6jMmk8zsQaWHzvaO0DM0bsr16D8Pe3+kXMeK9Om8UhusR/FcFG4IuiX1TKyzpfPXVy/nyYMt074VhmJSozlQQjFERmsJDSsQoD6gTnYOcY8/xvRCuBeWmdNzCJROMDQ+RXPfiGnXvIz2IzDSE5I+sOdUL1XFWfrZfdoqYKgDhrr0Od8saDqBabOCV90eA9u/qtspa1tV7/ul2SGuKPbGVgkjveBo0fW0f7d9FYUZSfzotUZdz+uT5n2QnAPZKwy/VCSY1XtjBQLmKBn1hb1aaQQGm6NoTLekDqdO0LQbEEGb1F8YnuBY+wBXhlo26sm0mb3xs4IyewbxsYJDzSYEgpaDUPsUXHE/ZC6Ze38/qWl1UGpPJ0YvoVhDW4Wro04AsCghlvdvsrP3VC+9Rs/EzruNaEzwBahvc0TM+gGNBR8ItJLRu7bMUDLqC3uVEk11fuPPxOr8NOJjRXhbTWhlo0FWVOw/o6b3Ia8f8GTazN74ltRJ8bGU2TOMnxFICa98CVLy4F2f0e20E1MujrUPUBFKx9GZyHcL9zqsMPZmR7kNl4RX6jt1P/c0Q12qkZ8JjeY0s/pI0gfACgT8yp+SUW80sdQknSAhLobV+Wnha0kdokk9qLLRRfGx+n4QLcpU9fVm6QTFWRxtcTAxZeAitmPPq+qV678MiWm6nfZk5yATUy799QFQ7Rjy9BWMNdbb0lmancxLde26n3saE/WBSDGr92ZBB4KRiSmeeLuZW8oKsGUE0FskJQeylppWOQRKWKpvGwiPgcepPwIy6LJRUDpM9dIsEuJ0fstpK4xNoKoki4kpl7EB+dBjKrhtvFvX02rrUHStGPIkBA/j2RBCcGu5jT2neukbNqiUtHkfxCWpxaIGEylm9d4s6EAwXTLq3WXUH0wXjDPoG56g3TFm2jWnadwVUtlo9+A4JzuH9E0Ladg2QN8pVXNvMJuMXlg21AWn/6wqhYKszJqJmlYH6UlxFC9O1vW80xRWGiIYA9xWbsPpkuysN8i85vw+9f8cl2DM+T3QzOqLssJrVu/Ngg0EAZWM+sJeDQMtMGiOs5J2B2H6egKt2+jK4LuN7jut9IEr9VhI5o0mGHcY36swPz2JoqxFHDZKMK7/PUgnlH1Q91PXtjgoL8owziTdIMEY1Gy4eHEyL9QakB6aGFG2pyboA6DWEKwrNECwD5EFGwj2nlIlo/f6UzLqC5M7ka6zpSFEGFpNtL+jykZDTAulJsZRZkRe1EQze1DpoUPnLhiToqt7Wq2YDqHNtC/Gp5wc7xig3J6p63kvYVowPqL7qYUQ7HCnhy7onR5qPQSuKVP0AadLcrx9MOL0AVjAgeA/96iS0ff6WzLqja1CLa03KRAkJ8SxIjfV/BlBY2hlowD7TvWyZdni0I1QfJFmU/XfJi4s6xwYp7V/VN8TXzinROLyv9D3vMDJjiEmndIYoVhDE4wNqqTbUV6A0yXZ1aBz9VDzPkDAks36ntcHZ3pUC/BI0wdggQaC830jvBpoyag38YvUXZCJgnFZYRjM7Jt2KW0gyLLRDscYp3uG9Wkr4QshVBmpCSWkoKwrwQCdoO4Z9VimfyCoae0HDBSKNXTwMJ6JcnsGRVmL9E8Pnd+nAtiiINLDARJpHgSeLMhAEFTJqC/sVap22oSe+KB0gnbHmPGLazSGe1WgCykt1APovH7AG1sFdB2HKeMblK0tSCMlIVb/QFD7NBRtUdVoOlPb4iAzOd54gbKwUqURB1p1P7UQgtvKbbzV1KNfIzqXE86/bZ4+4DarX5UffrN6bxZcIAi6ZNQX9irVE7+3SZ/BzYFma2daekgrGw1x/UDGonhj74IKKsA1aYqZfVxsDJXFmfoGgs4G6KpX1UIGUNPioNxuoFCsYatUjwYsLAO1uGxKz/RQ1zH1/2uCPgDq/zZSzOq90WVEQohbhBAnhBBNQogv+tguhBD/5t5eI4TY5O+xevPsO60MjE3xv4IpGfXG7m4G1mpOekgzujat1USTu2w0BCPvvad72bpssbFVElr9t1mCcXEWx9oHGB7XyZOi7mkQMVD6Pn3O58HYpJOTnYPG6gMaBWWGCcagUlv2zEW8qFd6qHmvejRhRhBpZvXehBwIhBCxwI+BW4H1wF1CCO+yh1uBVe6v+4CfBHCsbkgpeXzPWcrs6dNNxEIiZxUkpJkmGGckx7Nk8SJzZgQuFzS9CitvCLps9HzfCOf7Ro1NCwEsXgHxKaYJxptKsnBJOHq+P/STSanSQsuvhdS80M/nxfGOQaZc0nh9AJRulrvWMMFYVQ8V8GZTD47RydBPeH6/KjbILA79XHOgmdVHkgeBJ3rMCLYATW7byQngCeAOr33uAH4pFfuATCGEzc9jdUMrGb3niiBLRr2JiVV5UTOtKwszqDejhFQrGw0lLXTagP5CvoiJUXejJs0INuopGLcchP5zhqWFalv6ASg3oseQLworDROMQaWHJp06pYeazWs0F4mtpz3RIxDYAU/D0hb3c/7s48+xAAgh7hNCHBRCHOzu7g5qoE8dagmtZNQXRdVqMdOkOSt+SwvTOds7wsCYDndEs6GVjQZpUg+qbDQ7JYHVefr1zJkRE83sMxbFszo/VZ9OpHVPQ2wirH1P6OfyQU2Lg+yUBAozQre59AtbpWGCMUDlkkzsmYt4KdT0kKNF+SybqA9Eklm9N3oEAl/h1Pt2YKZ9/DlWPSnlz6SU1VLK6tzc4IzTv/2Bcn71V1v064cPSjB2TZrW76bUnes9ZnR6qHGnu2w0uLt5KSV7T/eybXm2OasoC8phYggunDH+Wqj1BIfPXQjNLMg5BXW/g9U3Q5IxHxC1rQ7KzBCKNTQ9ySCdQAjBrWUFvNHYE9rNkNZozqSKoUgzq/dGj0DQAng2TS8CvF2nZ9rHn2N1Iyk+Vv/FHCavMNamlnVGBoLhXvX7hFA2eq53hHbHGNuMTgtpaCuM281bTzAwNsWp7hA8Kc6+oawoy/VvKQEwOuGksWvIHH1AQxOMDWzRfmu5jQmni92hpIea9yldKb9Mv4HNQn2bai0RqegRCA4Aq4QQy4QQCcCdwPNe+zwPfNxdPbQNcEgp2/08NrJJL4S0QtMqh/LSkshLSzRWJ5guGw3NjQx08if2h7z1aqW3iZ1IIUSdoPZpSEwP6XWejYb2AZwug1cUe6MJxgbNCAA2LsnElpEUWvXQ+X1qNXGs8XfojpFJWvtHI1YfAB0CgZRyCrgfeAU4BjwppawXQnxKCPEp924vAqeBJuAR4G9mOzbUMZmOfZO5grE9w9jKoaZdkJwdctloXloiK3J1tkWcibhE9QFkkmC8LCeFrOT44APB5JjyHlj7HvXhaQCaUGyIGc1sFFYa0pJaIyZGcGuZjddP9jAYTHpobAA6683TB9rVTVsktpbQ0GUdgZTyRSnlainlCinlQ+7nHpZSPuz+XkopP+3eXi6lPDjbsVGHvUo5HI30mXK50sJ0mrqHGJt06n9yrdvoiu2qGicIpJTsPdXLFSuyzctNg6lm9kII1YAuWMG4aZdazGRQWgigtnWAnNRE8tNN9sa1VcJwNwwYluXltooCJpwuXj0WhF91ywHlMGjiimKIzNYSGpG3xC0aKdIWlpnjT1BamKE6GXYY0IO/7R3VVz6EstFT3UP0DI2blxbSsFWonLtJrcE3lWRxuns4OMOU2qcgJReWvVv/gWmXaO2nwsjW0zNRWKkeDVphDLBxSRYF6UnB9R5q3qcW8Gn/twZT3zZAXloiuWmRY1bvjRUI9MBWCQjzBWMjdIKmXYRaNjqtD5glFGtoHsYmWlcCvBPorGBsAE6+AqXvNyxHPTIxRVPXkLn6gEZ+mfqgNVAwjokR3FJWwJ9PdgeeHjq/T71XdLQCnY2GtoGI1gfACgT6kJSu8tMmBYKirEVkLIo3phNp4y6V6gqybBTUwr3CjCTj3LBmwkQze1C597gYEbhOcPwFmBozxIBGo6FtAJc0oeOoLxKSDReMAW6rsDEx5eKPxwNIDzkn1SI+k/SBsUknTd1DEa0PgBUI9MNepSqHTPAUFkJQZk/XXzAe7lHBLIS0kMsl2Xe6lytW5JifkkjKUN07TaocWpQQS2lheuCBoO5p1dZgyRZjBoZaSAaEZ0YAhnkYe1JVnEVeWmJg1UMdtTA5Ypo+EKlm9d5YgUAv7JtUbr3/nCmXKy3M4Hj7IJNOHVfS6mBSf6JzkAsjk+anhTRMFIxB6QRHW/r9/zsM98Cp15TvgIGBsrbVQX56InnpJq0o9qaw0nDBWFUPFfCnE93+NwA0fSGZWyi2AsECQROeTDKqKS1MZ8LpoqkrhAVN3jTuUm5foZSNhksf0LBVqNXFY+Z0aK0qyWJs0sWxdj9nZ/XPKl9ig3oLadS09BtrTTkXBnoYe7Kj3Mb4lItX/U0Pnd+nZmPpOraZmYWGdmVWvyTL5DRpgFiBQC/y1kNckmmVQ2XuKb9ugrHLBadedZvUB/+22HOql+LFydgzDTZBmYkCrSW18Wb2EMTCstqnIXedcrcziKHxKU73DIdHH9DQBGODdYLqpYvJTUvkxRo/0kNSqhmBSfoAXFxRHGlm9d5YgUAvYuNVX3yTBONl2SkkJ8TqpxNoZaMhpIWcLsn+M71cGa7ZAJhuZm/LWERhRhIH/QkE/c3qjtTAtQMA9a0OpAyjPgAXBWODZwSx7vTQaye65k4PXTgLQ52mpYUi2azeGysQ6Im9Wr3xnQZ3BkXlR9fbdPQwbtyJKhu9PuhTNLQNMDg2Fb60EEBqvqrPN1knOOxPINB8iQ0OBLXuWWJZOAMBGOph7MmtZSo99NqJOdJDJusDmll9JC8k07ACgZ7YN6mywK4GUy5XWqgqh0LqgKnRpEPZqOZPbPZCMk+EcLekNi8QVJdk0e4Yo61/dPYda5+Bos2G+BJ7UtPioDAjKfwLmAor1QI/AwVjgC3LFpOT6kf10Pl9kJihUnMmUD/tQRDZpaNgBQJ9MbsTqT2DkQknZ3qHQzvRcI/SNkJsfrbnVC/Lc1PCV6miYatQ/sVT46ZcrqpkMTCHTtB1HDprDReJQelGYZ8NwEUPYxPSQ7eU5fPH412MTMySHmrep0p2Q9DAAiGSzeq9sQKBnmQtVc3aWswJBGXuO42QdYLpbqM3BH2KSaeLA2f6wqsPaBRUgGtKmZObwFpbGoviY2cPBNO+xO83dCwDY5PhF4o1CspNEYxBVQ+NTbr404kZTKtG+tTNgUlpIYhss3pvIn+E0YQQ7oVl5gSCVfmpJMTGhN6SunGnKhu1BV82WtvqYHjCyRXLc0Ibix6YbGYfHxvDhiUZHJ6p1YSUqrfQsncb4kvsiVZFZpo15WwkJEPOGsNnBABbl2WTnZIwc++h82+rx+IrDB8LqMaLDe0DUaEPgBUI9Mdepe48xg1oCOdFfGwMawrSQpsRuJxuk/rQyka19QPbli8Ofix6kbUMEtJMFYyrSrKobxvwnZpoPawqVgwWiQFqw72i2BuDPYw1YmMEN5cV8MdjXYxO+OjKe34fxMQrHc8EOgbG6BueiAp9AKxAoD/2akAa2nnRk9LCdOraHMhg/9Ha3oHRvpD1gX2ne1mTn0Z2agR0WDTZzB5UIHC65HRrh0uofUr5Eq97r+HjqG11YM9cxOKUBMOv5Re2SndH2BA9hv3gtnIbo5NO/uSreqh5nwpKBnk/eFPfGtlm9d5YgUBvtDsOEwXjfrcDUlA07lJ53BDKRsennBw42xfeslFvCsrVojKXAZ4NPti4ZIaFZS4n1P9O9W9KMv7usLbVERn6gIbBHsaebF22mMUpCbxY59WGfGpczcqWbDV8DBqaWf3ahZAaEkIsFkLsEkI0uh+zfOyzRAjxmhDimBCiXgjxdx7bviaEaBVCHHF/7QhlPBFB8mKVmjApEJS57ziCTg817lTprOTgUzpHzzsYm3RFWCCogMlhZRhkAlkpCazITbl8PcHZN9QiJhOqhRwjk5zrHaE8kgKBJhiboBPExcZwc2kBrx7rvNS0qe0IOMdN0wdAtZZYmp1CaoSa1XsT6ozgi8CrUspVwKvun72ZAv5eSrkO2AZ8Wgix3mP7D6WUle6vF0McT2RQVG1a5dDagnRiBMEJxsM9KjUUwmpiUPqAELBtWQQFApNXGAPTjmWXpOlqn1Z6xeqbDb++tpCsIpw9hrzRBGMTZgQAO8oLGJlwXlo9dN69kMzkGUGkN5rzJNRAcAfwuPv7x4H3ee8gpWyXUh52fz+I8ia2h3jdyMZeBYNthi+kAdUKeWVeanAzgqZXCbVsFNRCsvW2dDKS40M6j67krlPioMmCcf+IKt8EVEqi4XlYZ5wvsScXVxRH2AeQwR7GnlyxPJus5PhLF5c174PslZCaa/j1Qc3MWi5Etlm9N6EGgnwpZTuoD3xg1to4IcRSYCOw3+Pp+4UQNUKIR32lljyOvU8IcVAIcbC7e4Za4UjBbq51ZVlhBnXBtJpo2hVy2ejYpJPD5/rDu5rYF3EJkGeemT34aEDXuAvGHYYa0HhS29pP8eJkMpMjRCjWsFWq9JgJgvFl6aFwNJqLArN6b+YMBEKI3UKIOh9fdwRyISFEKvAM8BkppXb7+hNgBVAJtAPfn+l4KeXPpJTVUsrq3FxzInvQFJRDTJwyqjGB9YXpdA6M0z0YwErazno48TKsvCGkstHD5y4w4XRx5coICwSgOpG215hyJwqwPCeVjEXxF3WCuqdVoF1unC+xJzUtjsjSBzSmPYyPmHK5HeU2hiecvH6yG3oaVVWciQvJosGs3ps5PwGklDdIKct8fD0HdAohbADuR59dn4QQ8agg8Gsp5e88zt0ppXRKKV3AI4Bxlk1mEp+k2vCaJRjbtRXGfs4KOuvh8fcqz9ZrvxDStfee7iU2RrB5aQSsH/CmoBxGeky5EwXVCHBTcaaaEYwPwomXoPR9qjOtwVwYnqDlwigVkbJ+wBMTBWNQXhiZWnrovLmN5kAFgkg3q/cm1NTQ88A97u/vAZ7z3kEov8JfAMeklD/w2mbz+PH9gDlN5M2gqBpa31F9/g1mfSCVQ1oQiE2Ee/8Ai5eHdO29p3ops2eQlhRB+oCGJhibrBM0dg0xUvO8akBoQrUQXNQHImYhmScJKZCz2rQZQXxsDDetz2f3sS6mzu5RbV+yV5pybVD/h9GkD0DogeA7wI1CiEbgRvfPCCEKhRBaBdBVwMeA632UiX5XCFErhKgBrgM+G+J4Igd7FUwMQs9Jwy+VnhRPSXby3CY1nQ3uIJCggkD2ipCuOzw+xZHzEagPaOSXqUeTPIxBtaQGGD38W8gohiJzJrlaICiNxEAAFz2MTWJHuY2h8SnGT+9V+oBJ/tnRYlbvTUhFrlLKXmC7j+fbgB3u798EfP4VpJQfC+X6EY1nJ9K8tYZfrqwwY/rDwCedDfD4e9xB4IWQgwDAwXMXmHLJyFo/4ElSuprxdBw17ZIbijLJjRkkq/1NuOr/mtbpsqaln2U5KWQsisCZGSidoOYJGGiHdNucu4fKVStzWJY0TMrQWSj+K8Ovp3GyU5nVR1PpKFgri40jexUkppsqGDf3jeAY9WGKY0AQAJUWiosRbF46Y7FX+DHZzD4lMY57s44Sg/G+xJ7UtjgiMy2kYZKHsUZ8bAz3LukEYMK+2ZRrgqcHgRUILEDdCRZuNF0wbvDWCS5JB+kXBEAJxZVLMklOiODVk7YK6D8Ho/2mXfI23qJJFjGVY44BSs/QOG2OscgOBCa2pNa4Lvk0YzKeN4eKTLtmfVt0mNV7YwUCI7FXKXF2Msg+QAFQOi0Ye6SHpoNAPNwTuibgycDYJLUt/ZGbFtKYNrM3SSfoP8/S4aM8O3UlxzuHTLnktFAciaWjGppgbKJOUDRUQ71YyR8aek27ZrSY1XtjBQIjKapWBikmpCZyUhMpSE+6KBh3Hbs0COToWzVx4EwfLhlmW0p/KChXj2YtLKtX1dH/47pidqMaHaltcSBEFKQjNA9jM5gYIab9CBeyq9jV0MnElPHVe5pZfTStH9CwAoGRmGxdWWZXHsZ0HYPH3qMWtRkQBEDpAwlxMdNVMhFLWr4ytDdLJ6h9CmmvZiKtxLxA0OpgeU5KZJbwelJYCUMdSjA2mrbD4Joit/RqBsemeKupx/BLnukZZnTSGfkB2QdWIDCStAJIt5sWCNYXZhDTcxypBYF7XzAkCIDSBzYVZ5IUH2vI+XWloMKc1FD3CeioRZR/UDWgM3FGENH6gIZJHsYANO8FYO3mG0lLjJvZuUxHtLRstJWOghUIjMdeZVrl0NaUTv4r/p+YlDGGBoH+kQka2gciw5bSHzQz+8kxY69Te9GXeFNJFq39o3Q4jL1m18AYHQNjkWFNORcF5YAwJz3UvB9y15GYls2N6/PZWd9heHpIM6tfmRf5ZvXeWIHAaOxVyqZw2GDBqus42968FxcxvFT1iGFBAGDf6T6kJPKFYo2CCpBO6Gow7hpSqt5CS6+GtILpBnQz+hjrxHTr6UgWijUSU80RjF0u5VHsbiuxo9zGwNgUe04Zmx5qaB9QPuJx0fexGn0jjjaK3J1I2wzsRNp1HB5/DzExcXwy5mvs6Te278++070kxSvD9qjADG+CtsPKBMe9dmC9LZ3EuBjD00O1rUoojhqBUvMwNpLuY6rrqzsQXL06h9TEuEtbU+uMlDIqW0toWIHAaGyVKl3QYlB6yB0EELGIe/9AWtH66Ta4RrH3VC+bly4mMS4K9AGAzKXGm9nXPqPWarh9iRPiYthQlGl8IGhxsDI3lZQoccJSLak7YLBjzl2Dxq0PaIEgMS6WG9blsbOhk0mnMemhaDOr98YKBEaTmAq5a40RjKeDQIzqHZSzivWF6ZzoGDQsH9o7NM6JzkG2RXrZqCcxMW4PY4MCgcsJdc/AqptgUeb005tKsqhvc1xqm6gjUkpqWiO09fRMmOFh3LwfUgsgs2T6qR3lNvpHJtlzypgUbbSZ1XtjBQIzsFepQKBnX/yu42qdgNCE4VWA6jk06ZSc7BzU71oe7DvdB0SRPqBhq1CL+4wwsz/3lrrLLfuLS56uKsli0iln7wEVApoHRUS2np4JTTA2Uido3qdmAx6N5q5ZnUtqYhwvGZQeamiPLrN6b6xAYAb2KmWOceGMPufrPuEOAsK9TmDV9KYZW03oxJ5TPaQkxEZHuaInBRUwOQK9p/Q/d+1TkJAKq2+55OlNxZkAhqWHomJFsTeaYGzUjMDRCo7my/wHkuJj2b4uj1fqOwxJD9W3RZdZvTdWIDCD6YVlOgjG3SfUYjEtCOSuvmRzyeJkUhPjgrOu9IO9p3vZsmwx8bFR9tYxSjCeGoeG52Dte5RRuwfZqYksy0kxLhC09BMjYL0tigIBuAXjd4w59yxGNDvKbVwYmWTfaf3TQ9FmVu9NlP03Ryl56yFuUeg6wRxBAJRL1npbenBm9nPQOTDG6e7h6EsLgdJpYhOgXeeW1E2vwpgDyn37Em8qzuLwuQtIA+wya1odrM5PY1FClIj2GkYKxs37IT4F8ssv2/Tu1bmkJMTqXj0UjWb13liBwAxi49RdUCiVQ1oQgBmDgMb6wnQa2gZwuvT98NHupKJmIZknsfGQt07/GUHtU8oBa/m1PjdXlWTROzzBud4RXS8rpYyeFcXeGOlh3LxXlWzHXp6iSYqP5fp1+bxS38mUjumhhvbo8yj2JqRAIIRYLITYJYRodD/6bDwjhDjrdiI7IoQ4GOjx8wJ7lbobdfrwC5iL7pMXg8C9L8waBEDpBKOTTs706Nv9ck9TL+lJcdE7BS4o19fMfnxI+RKvf9+MvsTawjK900PtjjF6hyeiSx/QKKjAEMF4fBA662b1J76tvIC+4Qn2n+nT7bLR3FpCI9QZwReBV6WUq4BX3T/PxHVSykopZXWQx0c39ipwjqs3aiB0n4THblPf+xEEQDWfAz89jANA6QPZxEZZi91pCjYo0X6gVZ/znXgRpkZnNaBZlZdKWmIch3ReYVzTEsEexXORmKoKHPSeEbQcAOmaNRBcuyaP5IRYXXsPRaNZvTehBoI7gMfd3z8OvM/k46OHYDqRdp9U6wRArRPwIwgArMhVy9zn9DAOgNb+UZr7RrgyGvUBDb3N7GufhvQiWLJ1xl1iYgQbS5ROoCe1rf3ExQjWRWs6wggP4+b9qpy6aGZHsqT4WK5bm8crdR26pYeieUWxRqiBIF9K2Q7gfsybYT8J7BRCHBJC3BfE8Qgh7hNCHBRCHOzu7g5x2GEgsxiSc/yvHNKCgJTuILDG70vFx8awriBN1xnBXvdCnKgUijXyywChTyfSkT449SqU/8WcvsRVxVmc6BxkYCyItOAM1LQooTgqur/6orASBtthsFO/czbvVX/jxLRZd7ut3Ebv8ARv65Ae0szqozZd6mbOQCCE2C2EqPPxdUcA17lKSrkJuBX4tBDimkAHKqX8mZSyWkpZnZubG+jh4UcIJWL5Ixh7BoF7/iegIKCxvjCDulaHbtUqe0/1kpUcz5r82f/JIprEVOXSpodg3PB7ZTpU5rtayJOqkiykhHea+0O/LkoormuNUqFYQ28PY+eU+t+aJS2kcd2aPBbFx/JiXejpIc2sPpr1AfAjEEgpb5BSlvn4eg7oFELYANyPXTOco8392AU8C2xxb/Lr+HmDvQp6Tqpyw5noabw0COStDepSZfZ0BsamaLkQuk2mlJK9p3rYtjw76iz4LkMvM/vapyFnzUUHtFnYsCSDGKGfYNxyYZQLI5PRKRRraIKxXjpBZy1MDvsVCBYlxHL92jxerusMubIuWs3qvQk1NfQ8cI/7+3uA57x3EEKkCCHStO+Bm4A6f4+fV9g3AXLmN39PoxKGpSukIACq1QR4eRgHSXPfCG2OsejWBzQKytXK05EQ0gKOFji3R60dEHMHxrSkeNYUpOumE0RV6+mZ0ARjvWYEze6FZEvmDgQAt5YX0DM0HnJ6KFrN6r0JNRB8B7hRCNEI3Oj+GSFEoRDiRfc++cCbQoijwNvAC1LKl2c7ft5SuEk9+jKq6WlUJaLSpdYJhBAEANYUpBEbI6hrDV0nmBf6gMb0CuMQdIK63wHyst5Cs1FVksk7zRd0WdtR0+IgPlawpiCK03Tg9jDWaYVx8z7IKIYMu1+7X782j6T4mJAXlzW0DbDOFn1m9d6EFAiklL1Syu1SylXuxz73821Syh3u709LKTe4v0qllA/Ndfy8JXkxLF5xuWA8HQScugQBUNURq/JSdWk1sfd0L7lpiazIjT7npcso2KAeQ9EJ6p5WQT17hd+HVJcsZnjCyYmO0JsB1rU6WFOQFj1twGdCL8FYSnejuZmrt7xJTojjujV5vFzfEXRwdrokx9oHo14oBmtlsfkUVV9aQnpJEAgtHeRNaWFGyJVDUkr2nOpl2/JshB9pkIgnNRfSbMHPCHoa1cLAWdYO+GJ6YVmI6wmklNS09FNuzwzpPBGBXh7G/edUywo/9AFPdpTb6B4c5+DZ4O4/o9ms3hsrEJiNvUrdBTlaoafJKwis0/VSpYXpdA+O0zUQvG/uqe5hugfHuSKa/AfmIhTBuPZpQEDZBwI6rChrEblpiSHrBM19IwyMTUW3PqBh00kwDlAf0Lh+bR6JccGnh+bDimINKxCYjbawrOa3Shh2TRkSBOBiS+pQZgV73f2F5oVQrGGrUNVbkwFWVEmpegstU77EgSCEoKo4K+TKoaheUexNYhpkrwx9RtC8DxIzAv4fSkmM49o1ubxU14EriPRQQ/sA8bEiKs3qvbECgdkUlENMPLz6dRUE7v2DIUEAYJ1NiYmhrDDed6oXW0YSJdnRXRVxCZqZfWeAZvbtR6DvVMBpIY2qkiya+0boGgx+hlbX6iAhNobV0byewxM9PIyb98GSzRATuGayo9xG1+B4UCm7hrYBVuenRaVZvTfR/xtEG3GJagl8co6hQQBU2eKynJSgBWOXS7L3dC9XzBd9QEOr/e8IsCV17dMqiLt9iQNlk1snOHyuP6jjQc0I1tnmx4cPoHSCwTYYCnIJ0egFZVYfoD6gsX1dPglxMbxQE1h6KNrN6r2ZJ++mKOPDv4T7DxgaBDRKC4P3JjjZNUjf8ATb5lNaCCBrqUolBKITXOJLHFyT3DJ7OgmxMRwOUjB2udwriueDPqARqofx+bfVY/EVQR2emhjHtatzeamuPaD0ULSb1XtjBYJwkJqrSklNoLQwg5YLo/SPTAR8rLZ+YF7pA6AWgQVqZn9ujxL5y/1fO+BNYlws5UUZQesE5/pGGByfmh/6gIYmGAerEzTvg5i4i2t0gmBHuY3OgfGAArRmBTsfSkfBCgTzHq0ldTAexntP9bJk8SKKonzVpE80M3vnlH/71z6lnK9W3xrSZatKsqhtcTA+5Qz42JqWfoD5UTqqoQnGwS4sa96n0ksJwb9Ht6/LU+mhAKqH6tuUWX3Udn/1wgoE8xxt6hqoTuB0Sfaf6ZtfZaOeFFTA1Bj0Ns2979SE25f4tpA+cEBZV044XUGt+K5tcZAYF8Oq/OivUrmEYAXjqXFoOxy0PqCRlhTPNatyeTmA6qFoN6v3xgoE85zFKQkUZiQF/MFzrH0Ax+jk/Ggr4YtAzOxPvQpj/UFXC3myqSQTIKj1BDWtDtYXphMfO8/+bYMVjNuPqmAeYiAAuK2igHbHGO+c7/dr/2g3q/dmnr2jLHxRas8IuPncdH+haPQn9oec1RCb6J+Zfe3TsGgxrLgu5MvmpSVRvDg5YJ3A5ZLUR3vr6ZkI1sN4eiGZ/60lZmL7unwSYv1bXOYYVWb10exR7I0VCBYApYXpnO4ZZnjcz3w4aiHZ8pwUCjKSDBxZGPHXzH5iWFlSlr5vRl/iQKkqyeJQ84WAvCJO9wwzPOGcn4GgQHOOOxLYcc37VO+u1Bn9rPwmPSmeq1fl8FLt3NVDDfOk9bQnViBYAJQVZiClSvf4w5TTxdtn+uZf2ag3toq5zexPvASTI34Z0PjLppIsugfHA/KKqG3tB6CiKFO3cUQMSeluwfiI/8dICef36ZIW0thRbqPNMcZRtyg/E/OptYSGFQgWAKUBmtnXtjoYGp+av0KxRkGFyv07zs+8T+1TkG4Puk7dF1XF7gZ0AaSHalocLIqPZUVuim7jiCgC9TDubYKRXl0DwQ3r84mPFXOmh+aDWb03ViBYABSkJ5GdkuB3qwmtv9C2+R4IbFpL6hk6kY70QdNu1WBuDl/iQFhTkEZKQiwHz/nf9bLOLRTHzTehWKOwEgZaYchPP/IgG83NRsaieK5elcuLtR2zpu0a2ueXUAxWIFgQCCHcgrF/M4K9p3pZnZ86r+54fJJfilrMNINO0PCc6gelQ7WQJ7Exgo3FWRzys9WE0yWpax2Yn/qARqAexs37lICfs0rXYdxaVkBr/yhHW3zfNI1NOmnsGppX+gCEGAiEEIuFELuEEI3ux8vW3gsh1gghjnh8DQghPuPe9jUhRKvHth2hjMdiZkoL0znZOTjnQqaJKRcHz16Y/2khgIQU9UEyk2Bc94yqLtLETB3ZVJLFiY4BBscm59z3VPcQo5PO+dF6eia019hfnUDTB3TugXXT+gLiYwUvzZAemi9m9d6EOiP4IvCqlHIV8Kr750uQUp6QUlZKKSuBKmAEZWCv8UNtu5TyRe/jLfShrDCDKZfkZMfQrPvVtPQzOumcv+sHvCko9z0jGGiDs28qkdiAhntVJVm4JBw9P3e6Tms9Pa8DwbRg7McK46FupRHoqA9oZCTHc9XKHF6obfeZHpqPFUMQeiC4A3jc/f3jwPvm2H87cEpKeS7E61oESNm0YDz7B8+eU70IAVuXLZRAUAEDLZeb2Wu+xOX6VQt5srE4EyH8E4zrWh0kJ8SyLGeerSj2xl/B+Px+9aijPuDJjnIbLRdGqfWhqdW3DZA6D8zqvQk1EORLKdsB3I9zFfTeCfzG67n7hRA1QohHfaWWNIQQ9wkhDgohDnZ3+ykoWUyzJCuZtMS4OVtN7D3Vy9qCdLJSEkwaWZjRVhh7LyyrfUrlrQPwJQ6E9KR41uSn+dUHv6aln7LCDGKj3CB9TvwVjJv3qsWA2kI0nblpfT5xMcJn76H6Ngfr54FZvTdzBgIhxG4hRJ2PrzsCuZAQIgG4HXjK4+mfACuASqAd+P5Mx0spfyalrJZSVufm5gZyaQsgJkawfo6W1GOTTg41X5h/3UZnw5eZfU+TujPVWST2ZlNJFu+cuzDrAqYpp4v6toH51Xp6Jvz1MD6/H+yblLeHAWQmJ3Dlyhxe8qoemk9m9d7MGQiklDdIKct8fD0HdAohbADux9mahdwKHJZSdnqcu1NK6ZRSuoBHgC2h/ToWs1FamMGx9gGmnC6f299p7mdiyrUwhGKNlGy1TsCzhLTO7UtcGpgvcaBUFWcxOD5FY9fMuk1j1xDjU675rQ9o2PwQjCdH1XYD9AFPbisvoLlv5JIbp7O988es3ptQU0PPA/e4v78HeG6Wfe/CKy2kBRE37wfqQhyPxSyU2dMZm3RxumfY5/a9p3qIEbBluTleCRGDp5m9lKq30NJ3Qbpt9uNCpKpk7oVlWp66bD6XjmokZaiWEbPNCFoPg2vSMH1A46b1BcR6pYfq55kHgSehBoLvADcKIRqBG90/I4QoFEJMVwAJIZLd23/ndfx3hRC1Qoga4DrgsyGOx2IWLprZ+9YJ9p7upcyeQXqSPj11ogZbBfQ2wsSI0gp6Gw0TiT0pyU4mOyVh9kDQ4iA1MY5l2fN0RbE3c7Wkbt6rHpcYmzzISkngyhXZvOhRPVTf5iA+VrAqb574RXsQUiCQUvZKKbdLKVe5H/vcz7dJKXd47DcipcyWUjq8jv+YlLJcSlkhpbxdE54tjGF5TgqJcTE+W1KPTjg5cr5/4ZSNelJQDtKljGrqNF/i2w2/rBCCTSVZszpj1bQ6KLPPP3FyRmyVqopruMf39vP7IXetKQ5/O8ptnOsdocHdo2s+mdV7M/9+I4sZiYuNYZ0t3WeriYPn+ph0yoWlD2h4dr+sfQZW3mCalWhVSRZneobpHRq/bNuk08Wx9oH52WhuJmbzMHa5VCAwWB/QuLlUpYe0WUHDPDKr98YKBAuM0sJ0GtoGLqtU2Xuql7gYwealC0wfAMgshqRMOPBzZZBiQlpIQ9MJDjf3X7btZOcgE1OuhaEPaEwLxj4WlnUfhzGH4fqAxuKUBK5Yns2LtR10DozTOzwxrzwIPLECwQKjzJ7B4PgU5y+MXPL8nlO9VBRlkDJPrPcCQjOz7z4O8cmwJjRf4kAot2cQHyt86gS12orihRQIZhOMNX3ApBkBqPTQmZ5hnjncAiiTp/mIFQgWGGWFmmB8UScYGp+ittXBlSvmqRuZP2idSNfepnoQmURSfCylhRk+rStrWh2kJcVRkj2/VrHOyUyC8fn9kJoPWUtNG8pNpfnECHj4z6fmlVm9N1YgWGCsLkglLkZcohMcONOH0yUXplCsoS1m0tGAxl+qSrI42qLWcHhS26KsKYUBvY4impkE4+a9hjSam42c1ES2Lc9mcGxqXpnVe2MFggVGYlwsq/LTqPOYEew93UtCbMx0vnpBUvo++Mtfw+qbTb90VUkW41Ou6eoUgPEpJ8c7FsiKYm98eRgPtEF/s2n6gCc7ytV6kvmqD4AVCBYkpYXp1Lc6puuj95zqobI4k6T42DCPLIzExsO695h6t6nha2HZyY4hJp2SCnum6eMJO1qart1DMNaMaEzUBzRuKSsgMS6GTfP4RskKBAuQssJ0eocn6BwYxzEySX3bwMIsG40Q8tOTsGcuukQnqJn2KF6AM4KkDFi8/NIZwfn9SsgvKDd9ODmpifzpH67l41eUmH5ts5ifCS+LWfFcYex0SaRkYTWai0CqSrLYf6YXKSVCKA0nY1E8RVmLwj208GCrhJYDF39u3gtF1WrmFo7hZMzvv4M1I1iArLOlIwTUtQ6w93QviXExVBZnhntYC5qqkiw6B8Zp7R8FlBlNRdECFIo1CivBcR6Ge2F8UDUFDIM+sFCwAsECJCUxjmU5KdS1Odh7qpfqpVkkxi1gfSAC8NQJxiadnOgYnN8exXMx7WH8DrQcVC1AwqAPLBSs1NACpawwg9cbu+kfmeRzN60O93AWPGsL0lgUH8vhcxcoyU5hyiUXpj6goQnGbe+AywkiBoo2h3dM8xhrRrBAKS1Mp39EGadfsZAXkkUIcbExVC7J5FDzhYXVenomPAXj5r2QX6p8jS0MwQoECxTtQyY5IXZh33lGEFUlWRxrH2Tf6V4WpyRgz5zfAuWc2CqV/0DLQUsfMBgrECxQtC6Km5cuJj7WehtEAlVLs3C6JDvrOxbmimJvCitVE8CJIUsfMJiQPgGEEB8SQtQLIVxCiOpZ9rtFCHFCCNEkhPiix/OLhRC7hBCN7sf5u2IjwshMTuDeK5dy71VLwz0UCzeblqi3/6RzgesDGlrbD7ACgcGEeitYB3wAeH2mHYQQscCPUZ7F64G7hBDr3Zu/CLwqpVwFvOr+2cIkvnZ7KdetyQv3MCzcZCTHsyovFVjg+oCGJhhnLIGMovCOZZ4TqkPZMSnliTl22wI0SSlPSykngCeAO9zb7gAed3//OPC+UMZjYRHtaGWk1owAWJSpVhKvuD7cI5n3mFE+agfOe/zcAmx1f5+v2VNKKduFENbtqcWC5p4rl2LPXERBelK4hxIZ/K+XlHWohaHMGQiEELuBAh+bHpRSPufHNXwpXtLHc3ON4z7gPoDi4uJAD7ewiArW2dLnbc/7oEicf0bxkcicgUBKeUOI12gBlnj8XAS0ub/vFELY3LMBG9A1yzh+BvwMoLq6OuBAYmFhYWHhGzPqBg8Aq4QQy4QQCcCdwPPubc8D97i/vwfwZ4ZhYWFhYaEjoZaPvl8I0QJcAbwghHjF/XyhEOJFACnlFHA/8ApwDHhSSlnvPsV3gBuFEI3Aje6fLSwsLCxMRGjmJNFEdXW1PHjwYLiHYWFhYRFVCCEOSSkvW/NlLSm1sLCwWOBYgcDCwsJigWMFAgsLC4sFjhUILCwsLBY4USkWCyG6gXNBHp4D9Og4HL2wxhUY1rgCwxpXYETquCC0sZVIKXO9n4zKQBAKQoiDvlTzcGONKzCscQWGNa7AiNRxgTFjs1JDFhYWFgscKxBYWFhYLHAWYiD4WbgHMAPWuALDGldgWOMKjEgdFxgwtgWnEVhYWFhYXMpCnBFYWFhYWHhgBQILCwuLBc68DQRCiFuEECeEEE1CiMu8kIXi39zba4QQm0wY0xIhxGtCiGNCiHohxN/52OdaIYRDCHHE/fWPRo/Lfd2zQoha9zUv6+gXptdrjcfrcEQIMSCE+IzXPqa8XkKIR4UQXUKIOo/nFgshdgkhGt2PWTMcO+t70YBxfU8Icdz9d3pWCJE5w7Gz/s0NGNfXhBCtHn+rHTMca/br9VuPMZ0VQhyZ4VgjXy+fnw2mvceklPPuC4gFTgHLgQTgKLDea58dwEsoB7VtwH4TxmUDNrm/TwNO+hjXtcAfwvCanQVyZtlu+uvl42/agVoQY/rrBVwDbALqPJ77LvBF9/dfBP45mPeiAeO6CYhzf//Pvsblz9/cgHF9DficH39nU18vr+3fB/4xDK+Xz88Gs95j83VGsAVoklKellJOAE8Ad3jtcwfwS6nYB2QK5ZJmGFLKdinlYff3gyh/BruR19QR018vL7YDp6SUwa4oDwkp5etAn9fTdwCPu79/HHifj0P9eS/qOi4p5U6pfEAA9qFcAU1lhtfLH0x/vTSEEAL4MPAbva7nL7N8NpjyHpuvgcAOnPf4uYXLP3D92ccwhBBLgY3Afh+brxBCHBVCvCSEKDVpSBLYKYQ4JJQ/tDdhfb1QznYz/YOG4/UCyJdStoP6RwbyfOwT7tftE6iZnC/m+psbwf3ulNWjM6Q5wvl6XQ10SikbZ9huyuvl9dlgyntsvgYC4eM57zpZf/YxBCFEKvAM8Bkp5YDX5sOo9McG4N+B35sxJuAqKeUm4Fbg00KIa7y2h/P1SgBuB57ysTlcr5e/hPN1exCYAn49wy5z/c315ifACqASaEelYbwJ2+sF3MXsswHDX685PhtmPMzHcwG9ZvM1ELQASzx+LgLagthHd4QQ8ag/9K+llL/z3i6lHJBSDrm/fxGIF0LkGD0uKWWb+7ELeBY13fQkLK+Xm1uBw1LKTu8N4Xq93HRq6TH3Y5ePfcL1PrsHeA/wUelOJHvjx99cV6SUnVJKp5TSBTwyw/XC9XrFAR8AfjvTPka/XjN8NpjyHpuvgeAAsEoIscx9N3kn8LzXPs8DH3dXw2wDHNoUzCjcOchfAMeklD+YYZ8C934IIbag/ka9Bo8rRQiRpn2PEhvrvHYz/fXyYMY7tXC8Xh48D9zj/v4e4Dkf+/jzXtQVIcQtwBeA26WUIzPs48/fXO9xeWpK75/heqa/Xm5uAI5LKVt8bTT69Zrls8Gc95gRCngkfKGqXE6i1PQH3c99CviU+3sB/Ni9vRaoNmFM70JN2WqAI+6vHV7juh+oRyn/+4ArTRjXcvf1jrqvHRGvl/u6yagP9gyP50x/vVCBqB2YRN2B/RWQDbwKNLofF7v3LQRenO29aPC4mlA5Y+099rD3uGb6mxs8rl+53zs1qA8qWyS8Xu7nH9PeUx77mvl6zfTZYMp7zGoxYWFhYbHAma+pIQsLCwsLP7ECgYWFhcUCxwoEFhYWFgscKxBYWFhYLHCsQGBhYWGxwLECgYWFhcUCxwoEFhYWFguc/x9gveoo9BNc9gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Incorporating Legend to show the labels\n",
    "\n",
    "plt.plot(t,y, label=\"sinwave\")\n",
    "plt.plot(t,y1, label =\"coswave\")\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Helps to understand how the data is spread\n",
    "- Bivariant Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb8cd8985b0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(t,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar Chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Mainly applicable to one numeric and one categorical vavriable\n",
    "- Bivariant Chart "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 4 artists>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fruits = [\"grapes\",\"apple\",\"banana\",\"mango\"]\n",
    "\n",
    "price = [12,10,45,80]\n",
    "\n",
    "plt.bar(fruits, price, color = \"green\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Helps to understand frequency distribution\n",
    "- Univariant Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.77132064, 0.02075195, 0.63364823, 0.74880388, 0.49850701,\n",
       "       0.22479665, 0.19806286, 0.76053071, 0.16911084, 0.08833981,\n",
       "       0.68535982, 0.95339335, 0.00394827, 0.51219226, 0.81262096,\n",
       "       0.61252607, 0.72175532, 0.29187607, 0.91777412, 0.71457578,\n",
       "       0.54254437, 0.14217005, 0.37334076, 0.67413362, 0.44183317,\n",
       "       0.43401399, 0.61776698, 0.51313824, 0.65039718, 0.60103895,\n",
       "       0.8052232 , 0.52164715, 0.90864888, 0.31923609, 0.09045935,\n",
       "       0.30070006, 0.11398436, 0.82868133, 0.04689632, 0.62628715,\n",
       "       0.54758616, 0.819287  , 0.19894754, 0.8568503 , 0.35165264,\n",
       "       0.75464769, 0.29596171, 0.88393648, 0.32551164, 0.1650159 ,\n",
       "       0.39252924, 0.09346037, 0.82110566, 0.15115202, 0.38411445,\n",
       "       0.94426071, 0.98762547, 0.45630455, 0.82612284, 0.25137413,\n",
       "       0.59737165, 0.90283176, 0.53455795, 0.59020136, 0.03928177,\n",
       "       0.35718176, 0.07961309, 0.30545992, 0.33071931, 0.7738303 ,\n",
       "       0.03995921, 0.42949218, 0.31492687, 0.63649114, 0.34634715,\n",
       "       0.04309736, 0.87991517, 0.76324059, 0.87809664, 0.41750914,\n",
       "       0.60557756, 0.51346663, 0.59783665, 0.26221566, 0.30087131,\n",
       "       0.02539978, 0.30306256, 0.24207588, 0.55757819, 0.56550702,\n",
       "       0.47513225, 0.29279798, 0.06425106, 0.97881915, 0.33970784,\n",
       "       0.49504863, 0.97708073, 0.44077382, 0.31827281, 0.51979699,\n",
       "       0.57813643, 0.85393375, 0.06809727, 0.46453081, 0.78194912,\n",
       "       0.71860281, 0.58602198, 0.03709441, 0.35065639, 0.56319068,\n",
       "       0.29972987, 0.51233415, 0.67346693, 0.15919373, 0.05047767,\n",
       "       0.33781589, 0.10806377, 0.17890281, 0.8858271 , 0.36536497,\n",
       "       0.21876935, 0.75249617, 0.10687958, 0.74460324, 0.46978529,\n",
       "       0.59825567, 0.14762019, 0.18403482, 0.64507213, 0.04862801,\n",
       "       0.24861251, 0.54240852, 0.22677334, 0.38141153, 0.92223279,\n",
       "       0.92535687, 0.56674992, 0.53347088, 0.01486002, 0.97789926,\n",
       "       0.5730289 , 0.791757  , 0.56155736, 0.87733524, 0.58419583,\n",
       "       0.70884983, 0.14853345, 0.42845074, 0.69389007, 0.10461974,\n",
       "       0.43960524, 0.16620215, 0.50697863, 0.81903586, 0.09010673,\n",
       "       0.80006875, 0.56512635, 0.58934771, 0.19810066, 0.43611826,\n",
       "       0.29590376, 0.03755768, 0.03068484, 0.453105  , 0.74486408,\n",
       "       0.55729541, 0.3851136 , 0.1680728 , 0.83826132, 0.5990518 ,\n",
       "       0.78271482, 0.84850918, 0.60316298, 0.78106062, 0.61573688,\n",
       "       0.02116519, 0.75046461, 0.17604213, 0.45851421, 0.51312271,\n",
       "       0.48402089, 0.84438579, 0.17481389, 0.01463488, 0.84876407,\n",
       "       0.74267458, 0.45669754, 0.41689841, 0.11672951, 0.33867913,\n",
       "       0.09465904, 0.71583087, 0.0770854 , 0.20595026, 0.57377623,\n",
       "       0.29383156, 0.65572674, 0.80356835, 0.3512135 , 0.09344038,\n",
       "       0.81331608, 0.78486672, 0.39341911, 0.86447919, 0.38403077,\n",
       "       0.25730289, 0.82940192, 0.7363827 , 0.50760091, 0.64432662,\n",
       "       0.21318657, 0.89570895, 0.96594625, 0.31700156, 0.86555262,\n",
       "       0.31028371, 0.02526395, 0.04919516, 0.18462684, 0.06903334,\n",
       "       0.25747542, 0.91358173, 0.45784951, 0.13021179, 0.80989167,\n",
       "       0.40346984, 0.02443264, 0.85683104, 0.27429482, 0.70910596,\n",
       "       0.35577234, 0.79430906, 0.84461886, 0.53814752, 0.55908652,\n",
       "       0.12250998, 0.37764192, 0.42874733, 0.51120865, 0.89176257,\n",
       "       0.30021061, 0.39644188, 0.79327323, 0.41227608, 0.18486755,\n",
       "       0.84024732, 0.5692714 , 0.06005021, 0.98891697, 0.22878233,\n",
       "       0.61470171, 0.36802668, 0.80277594, 0.62756185, 0.82121648,\n",
       "       0.28825314, 0.27479513, 0.60105189, 0.9385142 , 0.70729631,\n",
       "       0.26340316, 0.12233592, 0.45872423, 0.9748125 , 0.68057437,\n",
       "       0.19325373, 0.04673923, 0.95264394, 0.85864902, 0.82790318,\n",
       "       0.96390052, 0.59893645, 0.93091584, 0.14676881, 0.11396031,\n",
       "       0.3720289 , 0.76656013, 0.32114203, 0.63803508, 0.0092211 ,\n",
       "       0.54346504, 0.33775465, 0.89802431, 0.94070704, 0.38412185,\n",
       "       0.39611779, 0.89727994, 0.05882237, 0.40537929, 0.13017554,\n",
       "       0.08696941, 0.78396429, 0.30457336, 0.58405587, 0.87846618,\n",
       "       0.88079206, 0.60095421, 0.64522775, 0.0566282 , 0.2974841 ,\n",
       "       0.69177461, 0.18902945, 0.80300754, 0.51476375, 0.75728604,\n",
       "       0.17778875, 0.08262029, 0.48207197, 0.52885388, 0.69630827,\n",
       "       0.20476161, 0.67137233, 0.79326933, 0.04173781, 0.96335751,\n",
       "       0.97539272, 0.55066078, 0.06490698, 0.34523679, 0.02042997,\n",
       "       0.80085181, 0.2079271 , 0.14325251, 0.69989398, 0.05794981,\n",
       "       0.25660757, 0.51033178, 0.99525878, 0.14651568, 0.44951478,\n",
       "       0.60144038, 0.09727249, 0.28873488, 0.7207999 , 0.55080606,\n",
       "       0.83857702, 0.58033135, 0.18457174, 0.61550212, 0.88695509,\n",
       "       0.51678928, 0.62614367, 0.50505912, 0.90966258, 0.41330466,\n",
       "       0.53546872, 0.34264313, 0.12957678, 0.66282175, 0.93567   ,\n",
       "       0.61272918, 0.8427385 , 0.21790844, 0.90317174, 0.00976998,\n",
       "       0.22581273, 0.13205513, 0.90754295, 0.91023064, 0.58105791,\n",
       "       0.08749305, 0.11687944, 0.77107126, 0.73279527, 0.08712836,\n",
       "       0.3574632 , 0.77321162, 0.1314716 , 0.53783243, 0.75472357,\n",
       "       0.27252618, 0.566517  , 0.47668497, 0.55662069, 0.44073706,\n",
       "       0.69373736, 0.71823718, 0.75638236, 0.03732201, 0.6788354 ,\n",
       "       0.4772208 , 0.10017139, 0.61419623, 0.83791451, 0.73389404,\n",
       "       0.32156558, 0.06785531, 0.03733024, 0.5591253 , 0.1608527 ,\n",
       "       0.26788819, 0.23571196, 0.01934746, 0.15168642, 0.03390251,\n",
       "       0.98183486, 0.36048531, 0.82546453, 0.41223741, 0.25317915,\n",
       "       0.23671088, 0.7731156 , 0.67125691, 0.70633089, 0.85315541,\n",
       "       0.52204957, 0.44276965, 0.55374844, 0.65199485, 0.78855387,\n",
       "       0.89226945, 0.30910516, 0.13560977, 0.75092665, 0.52683322,\n",
       "       0.78473858, 0.4299261 , 0.83884659, 0.53735403, 0.25042393,\n",
       "       0.05889401, 0.09194928, 0.17419994, 0.43925435, 0.81093423,\n",
       "       0.91040212, 0.57609071, 0.29115443, 0.65178637, 0.6379207 ,\n",
       "       0.50357474, 0.96555272, 0.80669115, 0.92851936, 0.61393513,\n",
       "       0.98200392, 0.71498796, 0.00865927, 0.28814558, 0.84139866,\n",
       "       0.44317709, 0.17304972, 0.11452711, 0.7978806 , 0.64890515,\n",
       "       0.501746  , 0.28564021, 0.63669583, 0.36834191, 0.53953854,\n",
       "       0.7620668 , 0.83988748, 0.10495741, 0.51063131, 0.64548866,\n",
       "       0.15306681, 0.00175965, 0.96704575, 0.80786653, 0.27406759,\n",
       "       0.27908961, 0.12067964, 0.48068826, 0.93230198, 0.91492743,\n",
       "       0.2438751 , 0.3948583 , 0.97023953, 0.27561963, 0.93784944,\n",
       "       0.76901216, 0.88471869, 0.87100498, 0.14647096, 0.78918879,\n",
       "       0.90922225, 0.83817055, 0.71203119, 0.30737942, 0.35378455,\n",
       "       0.2363534 , 0.08981164, 0.19447817, 0.61580788, 0.93208368,\n",
       "       0.69108395, 0.56284705, 0.2637558 , 0.52714688, 0.80438291,\n",
       "       0.29507589, 0.18333855, 0.01973246, 0.74332123, 0.0382934 ,\n",
       "       0.43367967, 0.83208476, 0.01345856, 0.50933539, 0.4795487 ])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(10)\n",
    "x=np.random.random(500)\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([58., 51., 45., 48., 39., 62., 48., 50., 57., 42.]),\n",
       " array([0.00175965, 0.10110956, 0.20045948, 0.29980939, 0.3991593 ,\n",
       "        0.49850922, 0.59785913, 0.69720904, 0.79655896, 0.89590887,\n",
       "        0.99525878]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# this graph doesn't follow normal distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  2.,   5.,  26.,  51.,  98., 131., 101.,  61.,  14.,  11.]),\n",
       " array([-3.20440134, -2.61597018, -2.02753901, -1.43910785, -0.85067668,\n",
       "        -0.26224552,  0.32618565,  0.91461681,  1.50304798,  2.09147914,\n",
       "         2.67991031]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.random.seed(10)\n",
    "hx=np.random.randn(500)\n",
    "hx\n",
    "plt.hist(hx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The chart shows that the data follows normal distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pie Chart"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Helps to understand percentage distribution\n",
    "- Bivariant\n",
    "- 1 numberical and 1 categorical variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "agent = [\"Kumar\", \"John\", \"Vani\", \"Jacob\", \"Ameen\"]\n",
    "\n",
    "sales = [24,56,47,32,18]\n",
    "\n",
    "plt.bar(agent, sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(sales, labels = agent)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(sales, labels = agent, autopct=\"%.2f\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plots using Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>239</td>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>240</td>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>241</td>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>242</td>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>243</td>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0  total_bill   tip     sex smoker   day    time  size\n",
       "0             0       16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1             1       10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2             2       21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3             3       23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4             4       24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...         ...   ...     ...    ...   ...     ...   ...\n",
       "239         239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240         240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241         241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242         242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243         243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 8 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"/Users/macuser/Documents/PGP AI & ML/Applied DS with Python/Datasets/hotel/hotel.csv\")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.drop('Unnamed: 0', axis = 1)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ayH56IVEXEXmhyaES5MVdMaK2SMAxl1/47m4jfmH19M+LYc/RSagqN22OEgxNJIzNWwD0Wj3e7NzNS+fUC7XNpU5cWZXDP9vSORljt+sfdzDGtlv/1W+IBFEeCudg+t9doYVbEfEna7S4K5dlFhH/8p4YJhIZTCTyPW1hv6gulV8I/7LuFqgctu8JiBz+nI0SDnq0czetGCWZBbma/HPH45+tPXev0z/uBvBG6d/fAdhT43ERRMWoXPO9AS2TxAkhzNX2+HPVOXneseXd2u5Zu5ROIcalevyi1LLd7l3OOQYtEb8XRdrSWRVZleftaJ2TVo/CEWhQq8dxVJzzIf3TVZzzg9K/AwBOrcvoCKICVM4N4XcT8ddscVe2enQ1X9qtifRhG5+/1Ch8KpmB38eMNE27Bd7xeAbJjGpk9ADeePxGSWaLxx8K+NAWnluF2rKzcecuY+wjjLEdAE6x2DyvACCrh2h4OOdG2qCbPH6ndQBF5ab1AvfX1z5mTFaP9lE0O7fz+Uv1+KeTWbSGAzmf3GYT1+CEOYcf0CJ+ReV45fgM+q//A7YOjLu7YAVYSzLLdLYE51bE38BF2go9h/wamrXzW5itnrM559fWYWwEURGqCgR8PkSD/oLRfKGsnulUFhu+fD8e3jNc9jjMi7vatTqjQbRHAkZmz+3PDODPL2md5lJlePxtkQB6WoXw5/vkQ+PmHH5Ai7IB4OlXRgEAH/zllrImuFIwSjLbCH93LDSnPP6MqiI424Sfcz7BOT/AOf8Hi9UzVs8BziYKpdIR9UfVF3djIb9hMdghsnrsJofR6RSmklm8cnym5Ovn6vFLEb8+BzCm2T0il//zd23He3+q9QQwPH6X15lKFY/4h/TfTWvEr33URHhkKoU7nz3s8qrlkTAi/vyEwrlUoVNVOTgHtV5sBoYnC1dGJOqLygEfY4iG/IinCkT8BTZwzeivqyTHX15AFZMBYwzLumN5i7uHT8RzefyuI/4M2iIBhAN+tIYDtou7Q+MJBHwM81rDxrGw7rNP6vsA2iMB/O97dmLv8HQJd1caYgK2lmwAtJTOuSL8YrJvVI+/MYtFE0QJHJtM4r6dR/Gezf2m45xz+Hwi4i/u8YuSDXdsGcDG/m6cNK8FCb24m5NV9MyBMUynsrjklPkF3j9/5y6DFvE/vGfYVA56OpXN7dy1vM/De44hEvTj/JXzTMenU1nMb9MsHKeGJkMTSfS1R0yes4j4J/X0zx9cezY+fsvz+Nivn8NvP/YqwwqqJoWsns5Y0LFC5+6hSdz05EHXT0GAtlfiM5efUpP7KIb4P29Uj5+En2h4jk0mjTIDdvxh+xC+/PtduPKMheiRIlqVcz3iD7jauRtPK+Cc43N3bkdHNIhtN1xhRPxOE8f3H9mLkemUrfDbNWIRx3yMYWlXFKmsihGphr6icqQyYnHXLHNf/dOLYAy495MXmY5PJbNYMU/7U26LBGxLUA+OJ0w5/EDO4pk09gHE8JW3nIEP/+pZ3PHsAN513nLbe66EeAGrpzsW0ia+rJon1jc/dRC/fvoQelrCea+zI6uqGI9ncMkp87FpRU/lAy+RB3YdA6D9TBsREn6i4RmeTBUUfiePXuWapRIL+t3l8acVI9oWm6CEUDkVcEtlVXOHLRvsSjYwBizpFpk9ObtHVZ3z+Edn0jg+ncLodMo0wU3ri7uAFmEqNhbR0EQSG5Z2mo4JcRUlH8IBH644rQ9nLevE9x7ei7edvcSYHKqFsHrssnq69DWK8Xga8y3/3yNTKaye34r7P/VqV9c5NBrHRV9/BIdG43UX/lRWwTfufxFrFrbjtacvqOu13UIePzHryVk15px0LeIvbvXIefzCjxeP6EKonF6fzqqO2TdGPX6bZus+3eMHzDV7FM6NMcjvyjk3/O+nXjHnV0wls2jVhd/HWF63MVXlODqRxMK8iF+3evSIPxzwgzGGT152MgYnkrhjS/UXesXkbGf1dMWcyzaMTKXQ2+Yu2geARZ0RBHwMB8dKX5SvlJuePISBsQT+5fWnNqzVQ8JPzHpUi0dvHDesHr+rWj3JjGJE2znhL2z1ZBTVlLVj+/52RdoYsFjPsJFz+RWV2+bxTyazhqD/bd9x43gqqz2ltEeCxritE9HoTBppRcUiadcukO/xh4Pa1xeunqdF/Y/srXotH/FzbLGxerpa9LINNj7/yHQKva3uhT/g92FJVxQHXPY0qBYTiQy+8/DLeNWqebjo5N66XrsUSPiJWY8QXqtIqSrgZ8x1xB9P5yL+oCXiL2T1FOvVm1HyF3d9jCES9KOvPWwqz6xyLlk9ufcVG5t8DHhi36hxXPj5Yoey3ybiH9I3by20lDvOZfVo7xHSq3YyxvCpy0/G0EQSt1c56o+nsmAMiATzpadLKs0swzkvOeIHgGU9La6b2VSLH/55H8bjGVz/+sYubkDCT8x6chuw8q0eLY8/UCSPP9/qEZ2TchG//evTimrrqQPS4q5NBy5hACztMqd0ZhUubeDKvZewP847qQf7RmYwrOfliwJtwuP3+cwNaABgcDw/hx/IRfxTiQyCfmaq6PmqVfNw9vIufL/KUX88rSAa1CwlK2IfglX4Z9IKkhm1ZOHv74nhwOhMzTelCQbHE/jp46/gzWcuxtrFHXW5ZrmQ8BOzHms6poDrefyFIn6x0QbQqnOKxV35KQAAEg69adNZNU9orWRsyjL7dOFb1h3DYakFo2ry+PMj/jesWwgAeGK/FvXLTVjE+1onIqeIPyR5/NZFXM3rX61F/c8MFL7BEohn8rtvCTqi9l24Rqa0rKd5JVg9gPaznUpm69bV65sPvATOgU9ffnJdrlcJJPzErMcoq2y1eqQ8/qzKbStRytF4IqMYm6eEoIpI3ykrSPP47ZXf2Lkre/xqLqsH0DJ7RB0dcS9GhC1H/LrwX7hqHtoiAcPuEZuv2gp4/EMTSYQDPiOiFuQWdzPG5zIi6v9/f3mlqJ3lloRNLX5BJOhHOOAz1hwEQvhLjfiX92gVUA86dDqrJnuOTuKu5w7jvecvNwrwNTIk/MSsx2idmHZa3A3Yfh/ITRqM6R6/kjsnmVGMHb9OG7jSWRVKkYjfLqtHCP/SrqhpEVeRPX7pPYT9Ma8tjE0renIRv9XqYSxPpAfHE1jYEcmzV0SUn86qtsLPGMO7zluGQ2NxPH2gOpVa4ums7cKuoD0aNCYzQbnCL8pUHxytfWbPjX/ag7ZwAB+9ZFXNr1UNSPiJWY8isnKyVo9fz+MXFToz+VG7EOXWUACprGpKCd05OFE0q6dQOqdQ7rRdHr/u8lujw1RGNSYC+X3HZjII+X1oCfmxeUUPDo7GcWQ8kefx2+XxD00kTXX4BWFpgTUctI/CX792IVrDgaqldtp135JpjwQwmTD/P41MaWsUpWT1ALmf7cEaL/D+be9xPPriCD56ySqjr0CjQ8JPzHqE0KXyPP5cHj9gL94i4hd58HL3qq0DE5gpktWTUXheFo0VuTqnmAzEOqp1Z2dCmpxk/T4xk0ZXSxCMMZy/StuQ9MS+UXuP3/IEMjSeyMvhB2CK8kVGj5VoyI+r1i3EH3cMGdeqhHja2eMHNJ/fGvEfn07D72NG1o9bIkE/FrRHair8qsrxlT/tweLOKN57fn/NrlNtSPiJWY/imMevF2nTo1k7q0d4/EI4ZeHfNjBuTBYZhZsWaQFtYkkrxdM5zXn82keRQdPXHkFQKuQlT07yu47F04bwnTy/DQEfw/6RaWPXbasR8cM0HkXlODaVysvhB8xiH7ZJrxRcs3EJEhkFf9w+5HiOW7SsnsJWj7V15MhUCj0tIds+wsVY3hOrqdXzu+2D2HFkAp+54mREHJ6aGhESfmLWk3WorpnbuevchUtMGsIqERkgq+a3Yqsk/HavFxlAThu4xNGM5PGrlnROv48ZG7kA8+RkzeMXi7M+HzPaJk6lsggFfIZfb7V6hqeSUFRuG/EzxozMHjuPX3DWsi6s6G3BHc9Wnt2TSGcLRvztkWD+4u506Tn8guU9sZot7qayCr5+n1aa4eoNi2tyjVpBwk/MenIRv5p3nOk7dwH7XHwj4tezYsYT2iLqOf3dODQWN7VGtD5RiCwhpzx+4xpykTb9o7zQKvv8BSN+KSsnHNTaJk4ls2iP5CJo6+KukcNvE/ED+TX57WCM4W1nL8EzB06U1ZdAxp3VY/X4KxH+FoxMpQru4yiXXz1xEIdPaKUZynka8RISfqIkhqeSVUvtq4SJRAYzuudcOI8faAk7Wz2iFn+bbvWIaPO8k7oBaBukxC5Ta8Qviq85/TxExC57/HKRNoGj8JsWd9PoljzucMCHVFYx2i4KrBG/kcNvE/Fr7+M33q8Qbz1rCXwMuLPCqF8T/kJWTwATiYzp3o+XWK5BZnlPbRZ4JxIZfPeRvbhwdWOXZnCChJ9wzdBEAuf+n4fwrYde9nooWP+l+/Hqrz8KwLlZusq1nqcx3VOesfX49ayesNnqWbOw3ThHlAK2ThxuI365525ucVeK+Ltywi9PXrmyziomEhlTHr4m/KrehCVoHLeWbMi1XCwS8Rfw+AFtLeKik3tx17NHii5mO8E5R9yF1aOo3JgAVZXj+HQK88qN+Lv1XP4qC/8PHt2HiUQG//y6xi7N4AQJP+Ea0WGskv6z1eS4XsdeiHfKpjqnbPXYbcKyevyHxuII+BhW9rYY/vc8vZdtwpIOmpbKJ9tF/UZ1TruIXzpvaXdOlGVLQgi/FgHDIvx+pDIqplPmiN/ns1g9Ewm0hPwmO0hGCL9TVo/MNWcvxdHJJB7fe7zouXaksipUbl+ZU9Cu794VmT0TiQwyCi874l9Wg1z+wfEEfvrXV3D1hsYvzeAECT/hGlGxstyIrxBfvXcP7nLZ79V6faGrhUo2APaLu1lLOuf+kRn0tUcQ8PsMsRG17621gNKSoBeK+p0asQj69R2m1jGKV4nNW2aPX7N6pqRa/Nr7mscyNJ7Ews6obW0cANLibvGMlMtOm4/OWBB3bCnP7sn12y3s8QO57CrRpKZcj78jGkRXLFjVBd5vPvASwIHPXNH4pRmcIOEnXCOE33HDUgX84NF9+Mwd21yday3ildvAZZ/VI9I5C+bx61FzIqMYNW1EhN2jf7QuEMolIApNhrZZPZIOn76oHf961Wna9aUxinPH9DLFsscf8vuMxd3WiNnjl4cyNJHIq9EjIzZuFbN6AG1yeNP6Rbh/1zFMlFH/RnRBK2b1ADA2cZW7a1emmlU6dw9ppRned0E/lnQ1fmkGJzwTfsaYnzH2PGPs916NgSgNEaXWIuIvxOB4wlTB8rjUqjCRVkwdtGREHr/PxxAJ+mzLLmQtVg8ALNTTK3t0i8eI+K1ZPTYWjow4lLHN6smdxxjDmzYsAmBd3NU+ijo9ol49oAl1Wvf42yWPPy+rZyJZWPhdpHPKXLNxKdJZFb/ddsTV+TLxlOi+VXhxF8gtsov/61ILtMmIKp3VQJRm+KeLV1bl/bzCy4j/OgC7Pbw+USLCBi62mCk4ppcOLoc7nz2MC258GJxzfPimZ3Hh1x4xvieiQAAYnUk5pnOKssyAc2lmxVjczYnnIkvEL+wQp8Vd7X2cfyaKyo0slVxZZrP1EhD1/02Ti3aueMKxevzJrJLn8ctZPemsiuPTKceFXe193Fs9gPZ0cuqCNtzh0paTiZdj9VQh4l/eHcPgeMK2SF8p/HXvcfz5pRF87DWzpzSDE54IP2NsCYArAfzYi+s3Grc+fQh7jk7W/bp3bBnAC0cmXJ8vIv5Do3H8+C/7cXuR1w9PprB1YBy/eV6LDu/ZegTPHTrh6lpf+t1OHBlPmEoWC+SIf3Q6nUvnzNp7/IBm99h6/IrZ4wdy5YuFxSPWDvLTOXNCcv3dO/J2nHLTuUL4ta99lr88kQeesFncNSJ+SzrniZkMVA6Lx5/L6jk2mQTnyGuyLiPsO2tzcycYY7hm41JsPzyBF49OOZ43MBbHD/+8z5SWKX5+hWv1mBd3R6ZSCAV8jovTbljW0wKVA0fG83+X3KKVZtiNxZ1RvGdzf9nv0yh4FfH/F4DPA3CcghljH2KMbWGMbRkZGanbwLzg+rt34HX/9Ze6X/dzd27HVd953PX5QiSyKse//2E3Pu/i9Vd/76/45G1bAQDX3boVb/n+31xdSyx4yv1oBY4Rv83OWlEOIebQflG8NhLwGecKq+f9F5yEtYvb8a7zlgGwsXqkCPIP24dw7wvOJQ1E5pF4MLBG/H59gpKvIc49MZNGLOQ3lQQIB3zGBJjn8esvHBwXdfidI375/dxy9YZFCPhYwUXe+3YexY1/2mPa8CWyogpZPWISkz3+3taw4+K0G0SVzkrsnt9tH8QLRyZnXWkGJ+ou/IyxqwAMc86fLXQe5/xHnPONnPONvb2zb4PEXMRXwR9fqQg7YCaVL9bHp9Omz3MRvzmOiKeyhsg4NWMRrw34mfEHLXa5LuqM4vcfvxDLumNgLN/qSVmuJ7dEBMwbsIyIX38OsG709BsRv5zVoy/uSnV6BOGA37i+KY9fsnqGJkTnLeeIP/d+7qWgpzWMS9fMx2+2HsmrXyQQ6x87B3NPsm6snoDfh9ZwwJTVU24Ov0CkdJa7wDubSzM44UXEfwGAv2OMHQBwK4DXMMZu8mAcRInUUfcNcZhO5WePTMQzRmQ4Op22bbbOOTd1e3L2+LXX+n0+I/vHusuVMYZY0F9wcRcAntw/5tjmT+TyGxG/5WcpJlW7xV25To9AzsJpC1tLNmifD04Uj/jFMJzKMjtxzdlLcXw6jUcc9nSIHdEm4U8VF35AL80sWT3l5vALelvDiIX8ZUf8ojTDF94w+0ozOFF34eec/wvnfAnnvB/AOwA8zDm/tt7jIBobEalPJ/PFejqVRV97BNGgH6PTKVPJBiG8Sb2uveuI36fl+4f8PsPbl4navD5jifiPTiZxwCGqFNcxFnctyi8ifrs8/rF4xpTDD5g3XLWZrJ7c4vvQeBLtkQBaws7WirhGKRE/AFx8Si/mtYYdF3nFbuWdg7k1IDHxFrJ6AL0Zi5TVU8nCLqD9rJd1x8qK+CfiGXznYa00w4Wr547zQHn8REW42fFZDsJ2mbaxeqb0TJae1hBGZ9JGZo7Kc1F4TmS094k6evza+X6fZvUssOlUJV6fV6TNxuaQ7R7z4m5uly8AWK9gF0iKSeLETBrdsaDpe3LEb/L4pcXdoYlEXoN1J9wu7goCfh/ectZiPLJn2LTYLhA/112Dk8Z9uMnjB3KlmbOKitGZdMXCD5RfpfP7f96LyWQG179+dpZmcMJT4eecP8o5v8rLMRDusXMxCmVoVEIooCnhN+5/Me97Wn2aAHpawzguRfxALqXTmkHiJuLvioWMol5WtKwg5w1cCzsi6G0L48n9o9aXatfJ8/jNSs8YM6J+gWz1WCN+Of1S9viFFaGqHIPjhXP4ZcqZwK85ewmyKjeytmTE/Y7OpHFML/WRSCtgrPjTRXtEq9A5NpMG55Wlcgr6e1pwaCxeUoHBI+MJ/OyvB/DmDYtx+qLZWZrBCYr4CdfYZXG0FBD+Snb4Cp/aLj9eVKSc1xLC6HTadE7KknrZYlg9xTx+hq+9bR1ufOs62/FEQwEkLPsE5IVNzoHNei9cw+eXhm5k9egvsVsv8VsOcnCj5n533uKuFPGHzRE/oNk9QxMJI0OpGAF/6d716r42rF/aiTu2HM5b25AnY2H3xNMKYkF/0Qyd9mgAk4lMrlxDa+U588t6YkhnVRwtYW/JN+9/CQDw6VlcmsEJEn7CNc8PjOcdK5TaZm2oUQp2m8SESE9LVs/YTBpZJbdRK2EIv43VY7dzVxERvw9Lu2OmpigysaA/r8ibnNWjcI5NK3owMpXCvpH8RcR0Vi/hzO0jfiA/t59zYNymTg/gLPwi4o+nFJyIZ4zNaE4Y1lOZK/fXnL0ELx6bwg7Lfg5F5QgFfGAst8AbT2cRK7DeIBDtF6uxeUtQapXOXYOTuPv5w3jf+bO7NIMTJPxNSrVq6st1aGReODJhK4BusRufsFam9fo0Pa1hI4+/VY/srVaPkdUT9BvtE79x34v4zwe0aE5MJlbRtWK3uCtbParKsXml1gvXzu4REb9dyQaBiNbFLl7ONasEgE1Wj3ZfLSG/ySISE8oRlzn8imR1lcMb1y9COODLa8aeUVS0hQPo72kxR/wurMH2SBBTyayx87u31Z1dVYjlJVbp/Oq9e9AeCeKjF6+q+NqNCAm/xzil/9WacmwYu9dYyyQIrvrO4/i33+0s+RqFrpXKKlBVjul0Fm3hAHpaQsgoHCfiaSNzxbrLVmSQRKUKnd99ZK/RU0Bcx+qvW7F7YrDW6unviWFBewRP6MLPJa8nt3PXPqsHyEXr4ilK5RwnbHbtAjlPXvb3tfvQPorOYU4NWARijMXu34mOaBCvPX0B7tl6xLT4ragcAT/DaYvapYhfMVJmCyFKM+/XN3/Na6vc6lnUGUXQz1wt8D7+sl6a4ZJV6LAsqs8VSPg9xqtmVm7r7RRjZCqF3UOT+NOOIfzrb17Aoy+WVqv/k7c+j5uePGgzvvxzU1kV8YwCzrVMFlG4K5VVjS5b92wdBCBZPeFcHj+QvwlLbBQqtjktGszPCpLTOVWuifmmFd14Svb5dbKWrB47nRXiK2wcDm3zFmAX8WvntFpKGYj7EKUunFouCm58yzq845ylOKe/u+B5hfj7jUsxmczigV3HjGMZhSPg8+H0Re04fCKBiXgGCZcRv6jXs294Bi0hf9H0Tzf4fQxLu4o3Xuec48Z7tdIM7968vOLrNiok/B7jVcRfzmWdXvP6b/0FH7n5OfzqyYN438+eKek9f7N1EF/8zQt5x+2sniMnclU6+9ojRvVMIFdB86d/fQVAvtUjJoYZi0//lT/tAVB8c1qsWMSvj3fzyh4cn05j7/C06eclFjudSjYAObvFWDfhMCL+POHXs3raLMIvJg8h/AuKePxLu2O48a3rEKwgLff8lT1Y3Bk15fQrqoqAnxnZMDuHJvTuW8VFvN3ojTBdFX9fsKwnVtTj3zU0iReOTOIjF6+cE6UZnCDh95hyI/6hiURJk4a1UmY5pZXrOUfZjW9oImkUhVu7uMNoiQgAaxd1oKclhPVLNKER/XhF20VhMdjl8gP2QiwjF3n7277juOnJg+bqnPoPZ/OKeQBg2D0CI4/foWSDdkwIv884V9Ti77Tm8etPBa1hJ+GPo6clVBfx8vkY3nrWYvzl5RGjx29G1dpenr5Ia2G5a3BSs3rcePx6xH9wLF5V4V+ub+Iq9Hfz4K5hMAa89vQFVbtuI0LC7zEcpavp/pFpbP7Kw/jhn/e7fo1omyioRjMVaxRaTeysqHRWxQtHJtAS8uOknhajJSIABP0MZy7rMjJtEnl5/JpA2uXyA/ZCLBMN+ZHOqlBUjlufHsCXfrfT6M8L5H6eS7ujWNQRwZP7R80Rv2KO+O3mmZzV4zfOPRFPoz0SyIvIhfC3Wzx+2eop5u9Xk7edvRScA3c/p+X0KwpH0OfDvNYw+trD2KkLf6H0X4GwehSVV1f4e1owlcoa1U7teHD3MZy5tLOq121ESPg9phz9FcW3Hnup/KqlDsk4BZEnqWXdMbzv/P6yr6+Nwfnm7aKyjKLihcFJnL6oAz4fM6U4+vVmKyIKj2cUBP3M2JGaW9yVyx7nrlHM4xeWUSKjIJ1VkVE4/ir1ns3V4GHYtLIHT+4fM02uIqtH/IfbpnNaI36ulWS2m2BFVk+hiN9NVc5qsawnhvNO6sYdWwbAOUdWj/gB4PRFHdg5OKFH/C6snmhuMqukAYsVI7PHYYF3aCKBHUcmcNlpfVW7ZqNCwu8x5Qi/8IKz5ai3TqURf8DHHKNkp8JdVuxKHggUlaPLYm8kMwp2DU7i9MWafRD0+wwLJKCXXEhmtOYkcmVOIOcbT0q1f+Q8fDeLu4D2JCHGPZXKvZc8iW1e0YOxmTReHp42fkYZS8RvdzUhlGKS4tAylqw5/EAu4s/z+PX7mExmi+bwV5trNi7FgdE4thw8gayaK4l9+qJ27BuZwWQy4zKdM3dPlRZok1lepErnQ7u139vL15DwEzWmHAEO6I/9GbvUF5dYrZQf/nkfnnIoNyCQXzI6k3bc9PP+n+cv8NpF99ayxubx5XeF2js8jURGwRmLc9vnRUE1v8+HSNCHwYkk1t5wH37xxEGTyMxv00RwWFrrmJGEmxXN489lBdl1cpJ/nptWaPn8rxyfMSwaI4+/QMQvhD+i37cR8dt0exJPMnlZPdJs7HbXbrV4wxkL0BLy444tA1BMEX87FFXbhexG+FtCAWPCrKblsqRLK6/tVKXzwd3HsLwnhlXzW6t2zUaFhN9jypFuEUlV0vtWnnBUlePGP+3B23/0ZN55nHOjsbYs/BOJTEn1+e02etkJqNitmUwrCAbM7/9n3dpaKwu/HhEG/MwQTIEsMu3RACJBn2mRW6717zbij2eypnGLfHr5Z7O0O4YlXVHT9/MiftvFXe1jOJhL57Sr0wPIEb99Hj8A13V6qkUsFMCV6xbiD9uHMJnIGAGKXOfGzeKuz8cMu6eawh8J+rGwPWIb8c+ksvjb3lFctqavoqYvswUSfo8pJ+IXkZRTEwxX15VeWshyuenJg1j/5ftNnZQEpez5ycoNx0VPWJvrnn/jQ9hyYAzJrJJXOOzgWByRoA8re3MRmVjg9TGWl8EiWz2MMfS1R4yCYYBW+sH4fpHxGx5/WkFKUXHqgjYAOT/eymY96g8GhPBbd+7apXNq5+Yifo6xuL3HP78tgotO7sW5lvx7eQJzW5mzmlyzcSlm0gq2HZ4wLMklXVHDvmlxmZMvFq2rvci6zKHx+l9eHkFaUXFZE9g8AAl/1Xjl+IzJOnBLOVZ7zj6oTsRfaAJ55EUtyt43PJ33vVIifln4RfRrjfg3rehGRuHYOzwNVeW2ueWnLWw37TIVKZ0BfXFXxhpd9rVHTEW65Jz+YvcSkT3+rIolXVGc09/luIAq7B5jPSZv527+a4ydu9Iu42RGzdu1C2hWzy//x7k4Y4m5aqR8Hwva6xvxA8DG5V04aZ5WF0dE/IxpO3gB99Vc26PaBFHNxV0gV6XTygO7htERDWJjf1dVr9eokPBXAUXluPp7f8Udzzr3IHWkDO0WupctI+LfOzyFFf/yB+ySOiMVWisQtlJGUfNST1f3aZG3NcfcDtnqEX53ytIcXXiriYwClZtrxJ+sX0v29wEYm7hEPX0Za+pgX3vE2eN3sYFLjC2dVRAK+PCz95+Lr19jX81T1O0J+i0Rv7FzN/+C4oh40hkzNm+5LxsgT4pebEBijOFtZy8BYK7/s1a3e9x4/EAupbOnCpU5ZZb1xHB8Om162lNUjof3HMMlp/RWtJFtNtEcd1ljXh6ewkQiY+oF65ZyrB7xknIi/if2jULlwHceftk4JkfeX713D4ankvjGfS/i07dtNZpepxU17+nk4lPmA4Apn92J26WSzk4Rv7BmDo7GcSKeNv0RrlvSCcDs7wNmj9/aPtC6S7SvLWyO+Evw+GNSFJ5WVIT03rBOO1EXdUaxvCdmTJy5nbt6xG/zGvE94d+PTtvX6SmEfB/l1t+plLectRg+ZhZ+kYnlVvjbI0F0xoJ5C/yV0t8jqnTm7J7nDp3AiXimKdI4BZUXwSCwTS9XPGXTJrAY5Zg14jXZMrJ6xKLZgL6lHzBH3j94dB+mk1n8ylI/Z7SMSQ0APnzRCvzfx/bja/fmGqokMwo6osG8RuoiQv353w7Ax4C3n7MUzx48AQC4bE0fDp+I49WnmNvfzWvJRfzWNQGryCzoiJiKyskRfzGNNKwePY9fPI0UEtcPXLgCI5NJfPvhvcbT2WQyA7+P2TYjEcIv3nt0RluPKGWjnDwea33/erGwI4oPv3ol+qWmNheu7sWrT+7Nm7ideN3aBViui3Q1WdadS+kUi84P7jqGoJ/hopPnTmvFYpDwV4GtA1oZgXI8/soi/tKtnpQufLJNZK2wOW5TR39sJl3yJPWxS1Zh5fz8P96pZBZ97bkCaQIf0xZLkxkV5/R34+OvWY3/elB7MlnSFcWtH9qc915GxO+zi/jNX8+3eN7TKfcev7y4axL+Aq9796bl4Jzj2w/vNZ5yBsYSWNQZMfxvGZGlFbRYPXZZPU7Ib1ssRbWW/PPrzK0K57WG8Yv/ca7r179pw2K8aUOVB4VcLr/cG/mB3cewaUVP3i7ouQxZPVVg++FxAFpLwFKpZB9VOXn8ST26l1NBrcXH7O4jq/KSC8r5GGw9U/H+EwlhZWh/cAzMSJu0bhBzyp6Zr2d9hAN+RCxRtLXph3WxsxSPP2rZuRvya1/7i3SuEi0VxSQ9cCKOpQ6NPcSPN2Sxeuzy+J0wWT1NkJZYKm2RIHpaQjg0plk9+0amsX9kpmmyeQQk/BWSzCjYc3QKgHknp1vKqc4pFlnLWdwVNdMzsvCnrcKffx9ZRS3dlmLMSFG0e3+xNiA2V/lYLl/e7/OZUh6dvN7+eS344bVn4YrT+/LTOYPWxV1zhsiMdN/FcrdFiqXh8buI+AUBHzNsuYGxhKPwG1aPP2f1+Ji5hEExTFaPRx5/oyNX6Xxot1ZK+tI1870cUt0h4a+QnYMTUFSOUxe0YSaVLbmzVVkefwmLuxOWhVdh62RMVo/biL+0cTLksoLM768LfyKDoJ8ZWUGM5VIZrQ8KYYeIHwBet3YhYqFAnvDbpXPKjM2YC9cVwqeni8ZTWWQUbgh/sc5dgPbUk1E4EmkFx6dTWNptnwIq/jtF7n8yo6IzFipJwOWJiAJ+e5Z354T/wV3DWLOwfU62VywECX+FbNP9/Vef3AuVlx711zKr54l9o1j/5fvxL3dvN44JkZcvaxV+kckjU87ThY8xWy9bTCzj8Qw6okFDsBmTrR5rNcri2R1WO6jFYvVEgn4jTRDIFbtzSywUMNYlwqVE/H7N6hFdsZZ2F474w9LPzFqvqBi+BljcbXSW97RgcCKBY5NJbDk4hsubLNoHSPgrZtvhcSxoj2B1n7aT0xphF6MSj79YyYa9I9qmq1ueHjAifLtWidZSxZMOEX+pMAYEbaJVEfFPJNLoiAaN6JmxXPaMaJwisMuCsZK/czd/spDtnlKFPxr0G8Iv7Bg30XjA50NGUTGgC79TdCmeFuX9C6WWviarpzjLe2LgHPjlEwegcjRVGqeAhL9Ctg2MY/3SDnTqkeR4orS0x/LSOd29Sl7MFDnz1oVcu2N2NeuzSuGrPvjpV+cd8zF78ckt7mbQGQvlhF9a3LX62q6EP69WT37Smmz3DI0n8r5fiGjIb2Q8uUnnFAT9DBmFG12xlnYVtnoqEX6fyeoh4bdDZPbc/NQh9LWHjc1lzQQJfwWMx9M4MBrH+qWdhk/tZjOTjN2awO1bBvAPNgXTBG6fEmSX5QO/3AIASNkIv9XqsUPbwOV8YVmgxOeMMdvMo0lpcbczGjSsDZ8U8VutHjciZrV67CP+nPDPODRlcSIW8mOyLOH3IauoGBiLIxzwOdafERU+5Uyo0oW/pNObErE/YDyewaVr+kz2WLNAwl8B2w9r/v6GJZLw2+TAl8rn79ye17rPDZxzk4jLtrzIWU9myxT+AiWUAbOfLJdVSCv57y1n9XTEgsbCLWO5BdlAkTRJO4rl8QOV1a+J2Fg9buoVBfSIf2AsgSVdUcdJjPN8q6eUXbsA2Ttu6GkJGeU8mqH2vh20gasCxI7dtUs6jI1RE/HSrJ5SF3fv2XoEB47bN5L4zwdfxrcfehnvOm8Z/v3qtbZrAHYev539Y+XenUcdc+kBLbvlglU9WLuow0hv9TFmO2GYrJ5oSCpjwIxc/EAZApYf8ef/eneUkBppJRaShL+EiL81HMBMOouRqZTjwi4gZfVIk14lVg9hD2MMy3ta8MrxGaOmUrNBwl8B2w6PY2VvC9ojQaQDmsCVavUU0n3OeV50eN2tWx3P/+1Wrd/pzU8dwj9dssp2UrGL7hNpdxk7dpOGwO9juPkDmwAA7/vZ0wC0CP6ik3sRC/lN6wZTySwyiorpVFYr3aBXyVQ4z1k9ZRTLKlayAXDeCOYGueF6KXn87ZEgJhMZDIzFcdYy5+qP1lo9AEX8teId5y7FVDLrSSG7RoCsnjLhnGPrwATWL+0EoAlBNOgv2eopFPGX2mhFbsqhqtwh4i++uFsOpkVF45gWdd9mKbUwncoakbNWiEv7NZRLIZQT8VsnSTvhr6Tol7wvIJfH70L4owEcPpHAZDLrmMMPSFk9/tx1KsnqIZx5z+Z+fPSSVV4PwzNI+MtkaCKJ49MprNerRgJaG7ySI/4C3ys1hdL6N28f8edH7W48/mLYCQ6D6CFr/jWbSmZshT+VVQxvvxoCZmf1hFxkBzm/X06QwyU8kbRHghjWO4sV2iiU28CVu/dS6vQAZPUQ7iDhLxPh74uIHwDawgGj/oxbCmXKlNxhS/qjV7lDxJ9VTM2sgfySDeXgt0kjFIesUfZUMmtMkHIefyqjIqhn85RTedSKna1TSb31aDA/4neDnJrqVK4ByE3UpqwesnqIGkDCXyZbD48j6GdYs7DNOFZWxF9A36ziV6yuj/w3z7m9VZTKqEZFS4Fdpk+p2FkeYgKwlk6YSmaNCbIzFjImhrSiGhF/OZVHna4vU062kCAqPUGUJPzSRFvI6lEMq8dnTJpdJTRhAWi3LuEOEv4y2T4wgdMWtpui2bZwoAyP3/l71gblKZsMGc61qpmqyk3NPe7ZOui4uCuXAQj6me2GrUpglo/yAlo06EdaUY3et53WiN/SnLzaWBeAS6HSiL8tHCiYVST+uwJ+ZtQ5ag2Xln/hpnYQQdCvSRkoKseOIxNGVyhBayRYhsfvfnHXzpKZSSv4yE3PYcUX/mjyd//zwZfyJpWsoiKZUUwLhkG/r2CZiU9ettr2eCFHQQxDnBMxZalowifq1nREg4YYpxU117FKt7lu//Bm/P7jr3K+WIlUYvXIHn8pE4io876kO1ZwI5qYqAN6ZdKuWKjk3bdk9RBuIOEvg/0j05hOZU3+PpDz+EsptWx3aq6nrvmbcZtF2BMzady78yiA3M5PgXXiOD6dRiKjmFIEQwEfXjw2haCf4ZS+Nlh596bltuN2s4goREtOzezQrz0wppUvaI/mNnClsoqxY1csbJ97Urfrrk0y77+g3/a4XbVQt5Qf8WtRu1OpBoFcltnHSs/oAcjqIdxRd+FnjC1ljD3CGNvNGNvJGLuu3mOolG1ix+5SsyC1RQJa+d0SsmTs7BgRtVkXdxPp/KqZJ6QNY0dOmGvPWN/78Ik4VA50t5ojfgDYtKIHfR35u1qdIsjCws/0c/K/IyL+gRNxtEcCppaJ6Wwu4k+XUQ1U5oY3nm57PFhBVo9dOqcbjIi/SOlf1WT1sJJz+AGqz0O4w4uIPwvgM5zzNQA2AfgoY+w0D8ZRNtsGxtEaDmDFvFbT8VZ9Ea8Uu8c+4jc36BbYefEnpGuJlEGBNeIX7eZkQRnRX3P5aX1oDefnuDsKv5vfHEmERF5+lxTxd+qfi1ILqaxqPB2UUwbaDdXy+MN+9/sBhK9faGFXJuj3AeVG/GT1EC6ou/Bzzoc458/pn08B2A1gcb3HUQnbDo/jjMUdeZksbeHCwj88mcSXf7fL6KUK5Av/bc8cMhZxD43G8e+/3wVV5Tg2qe0bsHJiJu1Ys/1Lv9tl+vr7j+4FkF+nHgAuXdOHFpu8d7sOWkDhiF98Sz5DPFmImkbHp1PG57k8ftWIju3GWA1kj78tUto1YmVG/CfNa8H7L+jH69cudHV+UF/cLTWjByCrh3CHpyUbGGP9AM4E8JTN9z4E4EMAsGzZsvoOrACprILdQ5P4x1etyPueSPebsbFkOOf47J3b8dhLI2gN+/HpK07RjlsWd//5rh3G5x+75TkkMyresG4hrrv1eSPHXeb6u7cXLKWworcFF588Hzc/dRAtoQDOWtaJc/q78MELT8IFq+bhuYMnMDqTxuLOqO1moXDAh/+4ei2+8JsXcNW6hfj99iGcd1I3PvfaUxyvKTaEyRFywM+AjPlpQ0TCZy3rwhvOWIBPX34yVsxrxRevXIN3nlfe//l333kmXtRrBdmxsrcFV61biI9cvBIre1tx386jePnYtKv3drJ6PnrJSpy6oN3xdQG/z9F6krnlg5vwm+ePgDGGd29ajktOLb1BCGX1EG7wTPgZY60A7gLwSc75pPX7nPMfAfgRAGzcuLE2uX1lsHtoChmFY/2S/AVHw5+2Sbv8446jeOylEXS3hHDrMwP4+KWrEfT7CqZzCkFPphVjMdTpHCe+986zsGZhO9585mKcIY35f12puWsXn5ITl+suXQ1V1erGiwVjn4/hjCWdOHDjlQCA776z4OUA5J545LWEkCXiB3LCHwr48P13nW0c/8CF+ZOqW65atwhXrXP+fsDvw3ffeZbx9Zs2uH/YjBptIZnJUvnca08tfaA2bF7ZYxQN++JV5bmfZPUQbvAkPmCMBaGJ/s2c87u9GEO52O3YFQhbxG5hcr/eDes/3nwGhqdSeGCX1uTZTQbQ4RPFG4Y4+cFuGpgIWsIBfPGq0xzrxbtFWFk90pjExqlOKeLvLLGtoNfEglqcVMk6Qa2hkg2EG7zI6mEAfgJgN+f8m/W+fqVsGxhHb1sYC20yYApF/ImMgoCP4fLT+rC4M4pfPXEQQOENXILDLjpFXepgC5RTfVCkH5bLuJ5pJNs6wlsPBXxGLfTOaOmLl14SCeXuoVGhiJ9wgxe/wRcAeDeA1zDGtur/3uDBOMpi2+FxrF/S6VAOIJeWaCWRURAN+uH3MbzzvGV4Yv8o9g5PwVqmzW5n58HRmaLj2rCs0/Z4KRF/oTGUguhs1WNj9QR8zMh+mnURv76G09DCTxE/4QIvsnoe55wzzvk6zvkG/d8f6z2OcphMZrBvZMbW3wdyEb9dcbVkRkFEj3Tffs5SBP0MNz15yBTx375lwFao943YLz62SZkvTlv7rV2p3NAeqUyQN6/QfGq5OqZcdVOUj650gqk3YrG6oa0eivgJF1AjlhLYoW/csvP3gZydYRvxpxUjHXBeaxivX7sQdz132JS58fk7t2Nea779sX/EPuLvaglhSm+paJeKCXgT8f/kfRtNKatA7mcT8DEjjbKzjA1KXuL3MYQCvrJ+pgTRSNBvcAlsOzwOAFjnEPGLTUp2i7vxtGJKb7x203JMJbO4R++aJTg+ncYVp/UhKpUUjqcVLO7Mbf4RE4icfhmz2XwFlFebpr1C4Y+FAnm7VIUN5pMi/tlm9QDaz76RrR6CcAP9BpfAtoFx9PfEHCPVghF/RjEttJ7T34VT+trw+21DeeeGAz4stgjnxv5cy75F+iRwvtQv1CniL4dC7QHLJaRbPXLEP9usHkCze0j4idkO/QaXwDap1aIdgQJ1ZpIZc8TPGMO1m5Y51qTpsaRnbuzvNj4Xwr9xeRdWzGsBUHyn6/x29ymaIl+90rROGfnJQ9Sn75yNwh/yN7THTxBuII/fJccmkzg6mTS1WrRi5PHrEX8yo+DRF0fw0O5jeObACbzGknJ59ZmLceOf9hhZMG8+czEOjs5g7eIObNfXEwRnShOOsH2OTiaNXcItDlaPoK89P/20EM//6+VVjWyDRg0eblg9lVpKXkARPzEXIOF3SaGNWwKxo/O5Q+P41G1b8cCuY5hO5co3WFsBtkWCuPrMxbj5qUMAgEvXzMdV6xZhx+EJHLHk7p80rwX/89UrccGqHqxZ2I7JZAZvXL8I65d04uanDqGvLYKvvXUdPn/X9qrcr7x+UMrTghNyxtMVp/Uho6hl7THwmnecu8zUX4AgZiMk/C7ZdngcAR/D6Yuca7IAwJKuKB57aQQd0SCuPGMhrlq/EDc/eQj37jwKv00hlQ9cuMIQftnzFjtxL1w9Dx+7ZBVawgFc//pcaYDv6WUH1i7uwFfecgYA4O/PWVo14Zcp9WnBDrmz1sb+bpN1NZtw6k9AELMJEn6XbBuYwCkL2opGqfd98iJMJjLoagkZYrf98ATu3XnUtp7+SfNacMbiDuw4MmHKnxd9cXtaQjhvRU/e62YbRrnlKvTSJQiiMkj4XaCqHNsPj+Oq9YuKnhsJ+vMmh9MWak8JLzlUgUzpzc7lMsFiAbRWvWfrzScvW41Xjk/j4pNLrzhJEER1IeF3wYHRGUwms447douxRhf+Q2Nx2+9/751n4bZnBtDf02Icy1kjcyNCXtnbit9//EKvh0EQBEj4XSE2bhVa2C1En744evZy+/z41X1teWV4T9LTNOX8fYIgiGpAwu+CbQMTiIX8WD0/vxm5GxhjeOoLlzrW07Eyvz2MvvYIHvnsxVjeXbhPK0EQRKmQ8Ltg2+FxrF3cUVHJ21IyY8S5IuoniFLoaw/P2qwpoj6Q8BchnVWxc3AS791MaXzE7OCpL1zm9RCIBoeEvwgvHp1COquW7e97xQ+vPRsre+mJgSCIfOa08P/08Vfw4O5jFb3H6LRWXrhQqYZG5HVrF3g9BIIgGpQ5Lfwq5xWnQ7ZHA7jm7CVY0hUtem41ShtUyr+98TTMr8JOW7fc/IHzTC0WCYJofJibZt9es3HjRr5lyxavh0EQBDGrYIw9yznfaD1O1aYIgiCaDBJ+giCIJoOEnyAIoskg4ScIgmgySPgJgiCaDBJ+giCIJoOEnyAIoskg4ScIgmgyZsUGLsbYCICDXo+jTswDcNzrQXgI3T/df7Pefy3ufTnnvNd6cFYIfzPBGNtit9OuWaD7p/tv1vuv572T1UMQBNFkkPATBEE0GST8jcePvB6Ax9D9NzfNfP91u3fy+AmCIJoMivgJgiCaDBJ+giCIJoOE30MYYz9ljA0zxl6QjnUzxh5gjL2sf+zycoy1gjG2lDH2CGNsN2NsJ2PsOv14s9x/hDH2NGNsm37/X9KPN8X9CxhjfsbY84yx3+tfN839M8YOMMZ2MMa2Msa26Mfqcv8k/N7ycwCvsxy7HsBDnPPVAB7Sv56LZAF8hnO+BsAmAB9ljJ2G5rn/FIDXcM7XA9gA4HWMsU1onvsXXAdgt/R1s93/JZzzDVL+fl3un4TfQzjnjwEYsxx+E4Bf6J//AsDV9RxTveCcD3HOn9M/n4L2x78YzXP/nHM+rX8Z1P9xNMn9AwBjbAmAKwH8WDrcNPfvQF3un4S/8ejjnA8BmjgCmO/xeGoOY6wfwJkAnkIT3b9uc2wFMAzgAc55U90/gP8C8HkAqnSsme6fA7ifMfYsY+xD+rG63H+gFm9KEG5hjLUCuAvAJznnk4wxr4dUNzjnCoANjLFOAP/NGFvr8ZDqBmPsKgDDnPNnGWMXezwcr7iAcz7IGJsP4AHG2J56XZgi/sbjGGNsIQDoH4c9Hk/NYIwFoYn+zZzzu/XDTXP/As75OIBHoa33NMv9XwDg7xhjBwDcCuA1jLGb0Dz3D875oP5xGMB/AzgXdbp/Ev7G47cA3qt//l4A93g4lprBtND+JwB2c86/KX2rWe6/V4/0wRiLArgMwB40yf1zzv+Fc76Ec94P4B0AHuacX4smuX/GWAtjrE18DuAKAC+gTvdPO3c9hDF2C4CLoZVjPQbgBgC/AXA7gGUADgG4hnNuXQCe9TDGXgXgLwB2IOfxfgGaz98M978O2uKdH1oAdjvn/MuMsR40wf3L6FbPZznnVzXL/TPGVkCL8gHNcv815/z/1Ov+SfgJgiCaDLJ6CIIgmgwSfoIgiCaDhJ8gCKLJIOEnCIJoMkj4CYIgmgwSfoIgiCaDhJ9oGhhjnYyxfypyTj9j7J0u3qtfLqdt8/33Mca+6/C9v1nfgzF2sShNTBC1hoSfaCY6ARQUfgD9AIoKfyVwzs+v5fsTRDFI+Ilm4kYAK/XGF1/X/72gN8N4u3TOhfo5n9Kj8r8wxp7T/5Ui2ksZY/cyxl5kjN0gDjLGpgu9iCBqDVXnJJqJ6wGs5ZxvYIy9FcD/BLAeWsmMZxhjj+nnfJZzfhUAMMZiAC7nnCcZY6sB3AJgo/3b53EugLUA4vr7/4FzvqW6t0QQpUPCTzQrrwJwi14a+Rhj7M8AzgEwaTkvCOC7jLENABQAJ5dwjQc456MAwBi7W78mCT/hOST8RLPitvD/p6AV0FsPzRpNlnANayEsKoxFNATk8RPNxBSANv3zxwC8Xe+C1QvgIgBPW84BgA4AQ5xzFcC7oVXTdMvlevPsKLQWen+tcPwEURUo4ieaBs75KGPsr3oK5Z8AbAewDVok/nnO+VHG2CiALGNsG4CfA/g+gLsYY9cAeATATAmXfBzArwCsglZ2l2weoiGgsswEQRBNBlk9BEEQTQZZPQRRAYyx1wL4quXwK5zzN3sxHoJwA1k9BEEQTQZZPQRBEE0GCT9BEESTQcJPEATRZJDwEwRBNBn/H3mzmKaVLHpCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# relation between total bill and tips\n",
    "\n",
    "sns.lineplot(x=data[\"total_bill\"], y=data[\"tip\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,5))\n",
    "sns.scatterplot(x=data[\"total_bill\"],y=data[\"tip\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# filtering the above chart based on sex\n",
    "\n",
    "plt.figure(figsize = (10,5))\n",
    "sns.scatterplot(x=data[\"total_bill\"],y=data[\"tip\"], hue=data[\"sex\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- It can be inferred that the data is not fully linear\n",
    "- There are times when there is more bill there are more tips but in all cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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N2WdS/R1G88uvAtZ1D9uR9jme+UvjPZnRU6MeAr4PvBrYCfxFN/6/BPjzJN8HXgWcUlU7klzHaDbUCweqW5qVY/6S1CCHfSSpQYa/JDXI8JekBhn+ktQgw1+SGmT4S1KDDH9JatD/A7cqNPtUYIO6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What is the max bill paid by gender?\n",
    "\n",
    "sns.barplot(x=data[\"sex\"], y=data[\"total_bill\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=data[\"sex\"], y=data[\"total_bill\"], ci=None)  # ci = confidence interval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bGQwHXZ/kxm5d+8jpHSSpQV75S1KDDH9JapDhL0kNMvwlqUGGvyQ1yPCXpAYZ/pLUIMNfmkM3m+S/JflSkhuTnDvTTKpJjkpyy84ZKZNclOTXx12/NBPn9pHmdiZwZ1U9GyDJUQymJ15VVVNJzgXeWlUvS/Iq4P1J3g0cXVV/M76ypdn5hK80hyQ/y2BemYuBy4B7gKuBW7tdDgW2V9Uzu/3XAS8AnlhVd4y+YmluXvlLc6iq/0pyEvAs4G0M5jaacSbVJIcAjwO+AywGDH8tSI75S3NI8lPAt6vqAwymI34ys8+k+jsM5pdfDVzYvWxHWnC88pfm9gQGb436IfAD4BXA/cBfduP/i4B3JfkB8HLglKq6N8mVDGZDfcOY6pZm5Zi/JDXIYR9JapDhL0kNMvwlqUGGvyQ1yPCXpAYZ/pLUIMNfkhr0/4Jml8DcimgcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# The bar chart calculated the average value. This is a default function\n",
    "# What is the max value paid by each gender?\n",
    "\n",
    "sns.barplot(x=data[\"sex\"], y=data[\"total_bill\"], ci=None, estimator = np.max)  # ci = confidence interval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# What is the max value paid by each gender?\n",
    "\n",
    "sns.barplot(x=data[\"sex\"], y=data[\"total_bill\"], ci=None, estimator = np.max, hue=data[\"day\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sat     87\n",
       "Sun     76\n",
       "Thur    62\n",
       "Fri     19\n",
       "Name: day, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count of transactions based on days\n",
    "\n",
    "data[\"day\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='day', ylabel='count'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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d2ZTSkAy/tGXfBX4+ye5J9gI+1a3fC1jTnb8/bYNtrgS+hUf72k55kTZpK5J8Gfgsg8twPwHcz+B67Od16+4B9qqqM7vnvwV4BFhQVc+NYWRpiwy/NMu6zwdeVFVnjHsWaVO8Hr80i5JcDHwCOH7cs0ib4xG/JDXGX+5KUmMMvyQ1xvBLUmMMvyQ1xvBLUmP+HxYgeBmXTU7iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data[\"day\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='Density'>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# histogram / distribution plot\n",
    "\n",
    "sns.distplot(data[\"total_bill\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill'>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GuCQ1ZYBLUlP/B9E8s8II+i7NAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data[\"total_bill\"],kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='total_bill', ylabel='Density'>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data[\"total_bill\"],hist=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Strip Plot - bivariant plot\n",
    "# Strip Plot is a combination of bar chart and scatter plot\n",
    "# 1 numerical and 1 categorical\n",
    "\n",
    "sns.stripplot(x=data[\"sex\"], y=data[\"total_bill\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x=data[\"sex\"], y=data[\"total_bill\"], hue = data[\"day\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Swarm Plot - similar to Strip Plot\n",
    "# Swarm Plot - data is not overlapping. Helps to differentiate the data points\n",
    "\n",
    "sns.swarmplot(x=data[\"sex\"], y=data[\"total_bill\"], hue = data[\"day\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='total_bill'>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x=data[\"sex\"], y=data[\"total_bill\"], hue = data[\"time\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation\n",
    "\n",
    "- Correlation explains the relationship between variables\n",
    "- Range = -1 to 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>total_bill</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.675734</td>\n",
       "      <td>0.598315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tip</th>\n",
       "      <td>0.675734</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.489299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>size</th>\n",
       "      <td>0.598315</td>\n",
       "      <td>0.489299</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            total_bill       tip      size\n",
       "total_bill    1.000000  0.675734  0.598315\n",
       "tip           0.675734  1.000000  0.489299\n",
       "size          0.598315  0.489299  1.000000"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the correlation is positive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heat Map\n",
    "\n",
    "- Heat Map helps to display correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}