08.Wizualizacja_1z2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Warsztaty Python w Data Science\n",
    "\n",
    "---\n",
    "## Wizualizacja danych\n",
    "### Część 1 z 2 \n",
    "\n",
    "- Wykresy w matplotlib\n",
    "- Matplotlib a pandas\n",
    "- Facetting - różne wizualizacje dla _*1*_ zbioru danych\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "plt.style.use(\"classic\")\n",
    "x = np.linspace(0, 10, 100)\n",
    "\n",
    "fig = plt.figure()\n",
    "plt.plot(x, np.sin(x), '-')\n",
    "plt.plot(x, np.cos(x), '--');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "x = np.linspace(0, 10, 100)\n",
    "\n",
    "fig = plt.figure()\n",
    "plt.plot(x, np.sin(x), '-')\n",
    "plt.plot(x, np.cos(x), '--');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Solarize_Light2', '_classic_test_patch', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark', 'seaborn-dark-palette', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'tableau-colorblind10']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use(\"dark_background\")\n",
    "plt.plot(x, x + 0, linestyle='solid')\n",
    "plt.plot(x, x + 1, linestyle='dashed')\n",
    "plt.plot(x, x + 2, linestyle='dashdot')\n",
    "plt.plot(x, x + 3, linestyle='dotted');\n",
    "\n",
    "# For short, you can use the following codes:\n",
    "plt.plot(x, x + 4, linestyle='-')  # solid\n",
    "plt.plot(x, x + 5, linestyle='--') # dashed\n",
    "plt.plot(x, x + 6, linestyle='-.') # dashdot\n",
    "plt.plot(x, x + 7, linestyle=':');  # dotted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use(\"dark_background\")\n",
    "plt.grid(None)\n",
    "plt.plot(x, x + 0, linestyle='solid')\n",
    "plt.plot(x, x + 1, linestyle='dashed')\n",
    "plt.plot(x, x + 2, linestyle='dashdot')\n",
    "plt.plot(x, x + 3, linestyle='dotted');\n",
    "\n",
    "# For short, you can use the following codes:\n",
    "plt.plot(x, x + 4, linestyle='-')  # solid\n",
    "plt.plot(x, x + 5, linestyle='--') # dashed\n",
    "plt.plot(x, x + 6, linestyle='-.') # dashdot\n",
    "plt.plot(x, x + 7, linestyle=':');  # dotted\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 30)\n",
    "y = np.sin(x)\n",
    "plt.grid(axis=\"x\")\n",
    "plt.plot(x, y, 'o', color='yellow');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0, 10, 30)\n",
    "y = np.sin(x)\n",
    "plt.grid(axis=\"y\")\n",
    "\n",
    "plt.plot(x, y, 'o', color='yellow');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.style.use(\"dark_background\")\n",
    "x = np.linspace(0, 10, 30)\n",
    "y = np.sin(x)\n",
    "plt.grid(axis=\"y\")\n",
    "\n",
    "plt.plot(x, y, 'o', color='yellow');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "langs = ['C', 'C++', 'Java', 'Python', 'PHP']\n",
    "students = [23,17,35,29,12]\n",
    "ax.bar(langs,students, color=\"green\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,2,1])\n",
    "langs = ['C', 'C++', 'Java', 'Python', 'PHP']\n",
    "students = [23,17,35,29,12]\n",
    "ax.bar(langs,students, color=\"green\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,2,1])\n",
    "langs = ['C', 'C++', 'Java', 'Python', 'PHP']\n",
    "students = [23,17,35,29,12]\n",
    "ax.bar(langs,students, alpha=.3)\n",
    "ax.plot(students)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 4 artists>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "data = [[30, 25, 50, 20],\n",
    "        [40, 23, 51, 17],\n",
    "        [35, 22, 45, 19]]\n",
    "X = np.arange(4)\n",
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,2,1])\n",
    "ax.bar(X + 0.00, data[0], color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.25, data[1], color = 'g', width = 0.25)\n",
    "ax.bar(X + 0.50, data[2], color = 'r', width = 0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "N = 5\n",
    "menMeans = (20, 35, 30, 35, 27)\n",
    "womenMeans = (25, 32, 34, 20, 25)\n",
    "ind = np.arange(N) # the x locations for the groups\n",
    "width = 0.35\n",
    "fig = plt.figure()\n",
    "ax = fig.add_axes([0,0,2,1])\n",
    "\n",
    "ax.bar(ind, menMeans, width, color='b')\n",
    "ax.bar(ind, womenMeans, width,bottom=menMeans, color='r')\n",
    "\n",
    "ax.set_ylabel('Scores')\n",
    "ax.set_title('Scores by group and gender')\n",
    "ax.set_xticklabels(['', 'G1', 'G2', 'G3', 'G4', 'G5'])\n",
    "ax.set_yticks(np.arange(0, 81, 10))\n",
    "ax.legend(labels=['Men', 'Women'])\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8hfy7jHd+XBnjZ5dXUQ+Uy7P333+fESNGcPnllzN79mzGjx9P7dq16du3L0EQcM0115CTkwNAdnY2N954I2+99RYzZ85k1KhRbN68mV69euWGyzvHSpIkSZIkSWVVMqGzhQsLjavE+PmbKTw0juVpBhWVgXIJXXnllXz99ddcffXV3HTTTWRmZjJ16lSGDh3KzJkzw8aOHTuWc845h6FDh3LllVfy66+/8vrrr/PAAw+wfPny3HOWJUmSJEmSpNIshfyh8c6PBxF6YV0sbaLgoykWA7/E+NkKZ6BchKlTp5KUlBTWFwQBjzzyCI888kix5pgwYQITJkwI6+vcuTMAixYtikqdkiRJkiRJ0t5KAZqSf5dxC6A5sQ+NN1J4aLwqxs9W8Rkox1BaWhpZWVlkZGTk9tWsWZP77ruP7Oxsxo8fn8DqJEmSJEmSVNFUoujQODXGz99A/tB458fVMX62osNAOYbat2/P22+/zaRJk1i2bBn169enW7duHHDAATzwwAMsW7Ys0SVKkiRJkiSpnKkENCP/0RQ7Q+NYB4LrKTw0XhPjZyv2DJRjaMmSJUyYMIGTTjqJXr16kZOTw/z58xk6dCjPPPNMosuTJEmSJElSGZVKwaFxS0I7kGMd+v1KKCQu6GV4a2P8bCWWgXIM/fTTT1x66aWJLkOSJEmSJEllUCqhF97tfjTFztA4JcbPX0vBu4y/B9bF+NkqvQyUJUmSJEmSpASpTOGhcRNiHxqvofDQ+NcYP1tlk4GyJEmSJEmSFENVyAuNd38ZXhMgOcbPX03hofH6GD9b5U+xAuWkpKRY16EI+PciSZIkSZJUOlQlf2i882NjYh8ar6Lg84y/BzbE+NmqWIoVKKekxHpzvSLh34skSZIkSVL8VAUOpuDQ+EBiHxr/QsG7jL8HNsb42dJOxQqUZ82axQknnMD06dNjXY+KqUOHDsyaNSvRZUiSJEmSJJVpQRCwcuVKgiAAoBqh0Hj3oyl27jSOtXQKD403xeH50p4UK1B+7bXXeOyxx0hKSuKLL76IdU3agw4dOnD11VczYMCARJciSZIkSZJU5iQDzYCGQJPNm3n54IO5KCODA4AhxH6n8Uryh8aLgSXA5hg/W3uvzgGNEl1CQhUrUM7MzGTAgAFcfPHF9OnTh+zs7Nyf2ihc7dq1Oeyww3I/X7BgAb/+Gp13YiYlJZGSksKsWbMYMGAAmZmZUZlXkiRJkiSpPKoGHAK0+q0d9tvHQ4DhwLFAZ4CMDAA+Bh4CBkXh2T+T/zzjnaHxlijMr8SotV99et5asTd5FitQhlCoPGLECEaMGBHLesq8nj17Mnbs2NzP//rXv/Luu+8msCJJkiRJkqTyrQ75Q+NWQFMK3m28HfiR/MFxZ+CN365XLsZzfyL/0RQ7Q+OtJfwaVDZ0vf4qKlVOTXQZCVXsQFmSJEmSJElKlCRCZxjvHhq3AuqXcK61FH4ecmNgHaHjMACWk3+X8ffA/zA0rmjqNW3MceeenegyEs5AWZIkSZIkSaVGKqGX4O0eHB8K1IjSM+oSCooL8jUwjVBg/D8gI0rPVNl31oBrSalknOp3QJIkSZIkSXGXRv7Q+DDgYGITWO0gtLt4ATAf+BZ4DzhzlzETgalAegyer7LtwNaHctSZXRJdRqlgoCxJkiRJkqSYaUT+0LgVcECMnreJvNB4Z1tA6FzjrN3GzgfaJiVxWsOGTElPZ04QGCarQN1vuj7RJZQaBsqSJEmSJEnaKylAc8LPNT7st7ZvjJ6ZTv7QeD7wcwnn2FyjBiNmzeLeli3ZvHlz9AtVmdfiuKM5tOMJiS6j1DBQliRJkiRJUrFUI3SW8e67jVsCVWLwvGzgB/KHxguA9VF6RlJSEg0bNiQpKSlKM6q86XHLDYkuoVQxUJYkSZIkSVKYuuQPjVsBzWL0vAxgIfmD48XAthg9UyqOI04/hSZHtA7rW/7tQmh6WIIqSjwDZUmSJEmSpAooCWhC/tC4FVAvRs9cS/7QeD7wI5ATo2dKkUpOSeGsAs5O/mrcROjeKwEVlQ4GypIkSZIkSeVYZUJHUuweGh8KVI/RM5eRPzSeD6yJ0fOkWDim51k0OKhZWN+sCZPZ+NOKxBRUShgoS5IkSZIklQO1yL/b+DDgIGITAG0ndCTF7qHxImBLDJ4nxVOlKlXoduM1YX3ZO7J477FnOPGodgmqqnQwUJYkSZIkSSpD9id/aNzqt/5Y2Ej+3cYLgP8BWTF6ppRoHS8+j30bNgjrm/7mO6xd/hMYKEuSJEmSJKk0SSG0s3j30PgwYJ8YPXMF+XcbL/itX6pIqtaswem/vzysb9vWDN5/+oUEVVS6GChLkiRJkiQlSHVCZxnvflRFS0JnH0dbNrCE/LuNFwAbYvA8qSzqfEU/auwb/qObT0e+xqY1axNUUelioCxJkiRJkhRj9cgfGrcCmsboeVuBhYSHxvMJnXm8PUbPlMqDmnVrc/Lv+oT1bd2wkSkvvpKgikofA2VJkiRJkqQoSCIUEBf0Yrx6MXrmGvKHxvOBH4EgRs+UyrMzrruKKtWrhfV9+OxLZG7anKCKSh8DZUmSJEmSpBKoDBxC/tD4UEJHWMTCUgoOjv0FfCl66hy4Px0u6B3Wt/6XVXw26o3EFFRKGShLkiRJkiQVYB/yh8atCL0sLyUGz9sOLCJ/aLwQyIjB8ySFO/PG35OSGh6XTn7iWbK2bUtQRaWTgbIkSZIkSarQ9if8XOOdwXGjGD1vAwXvNv6B0EvzJMVfo0Na0K5717C+VT8sY+Y7ExJUUelloCxJkiRJksqFIAhYuXIlQZD/9OAU4GDyh8aHAbViVM/P5A+NFwArY/Q8SZHrftP1JCcnh/VNfPRpcrL9Mc/uDJQlSZIkSVKZ1xA4cssWXm7XjtO3bGEj0Bk4nFBw3ILQ2cfRlgUsIX9ovADYGIPnSYq+5u2PpPUpHcP6ln87n2/en5Kgiko3A2VJkiRJklTmpBAKidsCOUB/4PQggF9+AeBjYCZwfpSet4XQWcbzCQ+Ovyd09rGksqvHLTfk6xv/8JMJqKRsMFCWJEmSJEmlWl1CwfGu7XCgGqEw9zbg9N3u6Qy88dv1kuxMXkX+3cbzgeVA/oM0JJV1rU/pRPN2bcP6Fn3xJYunz0xQRaWfgbIkSZIkSSoVUoFDyR8eH1DEPWuBxoVcawysI3Qcxq5ygGUU/GK8dRHWLqnsSUpOpvvN1+frn/DIUwmopuwwUJYkSZIkSXHXgPzBcWtKfs5xXUK7hwuyHFgBfEJ4cLwIyCh5yZLKmfbdu9Ko5cFhfXMmf8Tyb+cnqKKywUBZkiRJkiTFTBVCL8VrCxxJXni8X5Tmr0xoB/OHhB97MRF4G3g8Ss+RVL6kpKZy5oBrw/qys7KY+OjTCaqo7DBQliRJkiRJUXEA+YPjQ4lu+PAz8M1ubQFQD2iblMRpDRsyJT2dOUFAehSfK6l86XBhb+oc0Cisb+aY8axe+mOCKio7DJQlSZIkSVKJVAPakP/IijpRfEYmMI/w4HgusKaQ8enA5ho1GDFrFve2bMnmzZujWI2k8qRK9ep0ufaKsL4dmduY/NRziSmojDFQliRJkiRJhWpG/uC4JZAcxWcsI/+u48VAdgnnSUpKomHDhiQlJUWxOknlzcmX9SGtbviPwD579XU2/LI6QRWVLQbKkiRJkiSJNMJ3HR8JHAHUiuIzthDaZbwzNJ7z2+cbovgMSSpKjdr70vnyS8L6MjZu4sPnXk5QRWWPgbIkSZIkSRVIMnAQ4cFx29/6omkJeaHxzgD5f0AQ5edIUkmcfs1lVK1ZI6xvyguvkLFxY4IqKnsMlCVJkiRJKqf2Jf9xFW2AGkXcU1IbyR8czwM8wVhSaVO7UUM69jk/rG/j6jV8+sprCaqobIrmkUd75fzzz+ett95i2bJlbNmyhW+//ZZBgwaRmpoaNq5du3ZMmTKFLVu2kJ6ezvDhw6lWrVq++U4//XS+/PJLMjIy+PHHHxkyZAjJyfm/3D59+jB37lwyMjJYvHgxAwYMKLC+gQMHsnjxYjIyMpg7dy4XXXRRdL5wSZIkSZL2UgrQCrgYuA94l9C5xL8CU4FHgd8DxxN5mJwDLAD+A9wNnEPofOV9gJOAAcC/gekYJksqnbrecDWVKlcO65v81PNsz8iM6nOKm3MWpLiZZiKVmh3Kf/jDH1i6dCm333476enpnHjiiQwdOpQjjjiCyy67DIAmTZrw0UcfMWPGDHr37k2jRo148MEHadSoERdeeGHuXMcccwwTJkzg9ddf54477qB169b84x//oEaNGgwaNCh3XK9evRg1ahT/+te/GDhwIJ06deLhhx8mCAIef/zx3HE333wzDz74IEOGDGHatGn07t2bUaNGsXXrVsaNGxe/b5IkSZIkqcKrR/5dx4cDVaP4jHWE7zj+BvgWyIjiMyQpnhoc3Jxjep4V1rfmx5+Y8dbYqD+rODlnQYqbaZYGQWlo9erVy9d31113BUEQBA0aNAiA4LHHHgtWrFgRVKtWLXfMBRdcEARBEBx11FG5fePGjQtmzZoVJCUl5fb94Q9/CLZt2xbst99+uX3z5s0LxowZE/bMxx57LFi9enVQqVKlAAhSU1ODtWvXBg8//HDYuHHjxgWzZ8/OV3PPnj2DXfXs2TPh31tb2WlpaWlBEARBWlpawmuxlZ3murFF0lw3tkia68YWSXPd2CJtrh2CVAiOgKAfBH+HYCIEKyAIoth2QDAXglcguAOCsyA4oBR87a4bWzyb66ZitCse/lvw0Nwvwlq7s86IaK495X/FyTkLasXNNBPdSs1+6TVr1uTr++qrrwBo1KgRAD169GDMmDFkZOT9TPTtt99m8+bN9OzZE4DU1FS6dOnC6NGjCYIgd9zIkSOpXLky3bp1A6Bp06YcfvjhvPrqq2HPHDlyJPXq1aNDhw4AnHjiidSpU6fAcUceeSSNGzfe2y9dkiRJklTBNQS6An8AXia0O3gLoZ3BI4HbgTOBRnvxjFXA+8BDwOXAUYSOvzgC6Af8HZgI/LwXz5Ck0qhJ28M54vRTwvp+XrCI2e99EJPnFSfn3F1xM83SoNQceVGQk046iW3btrFkyRKqVatGs2bN+Pbbb8PGZGdns2jRIlq1agXAwQcfTJUqVfKNS09PZ926dbnjdn7cfdzOz1u1asWnn35arHHLly+PxpcrSZIkSSrnqhA6nmL3IyvqR/EZ24HvyP+ivFVRfIYklSU9brkhX9+ER54MC25jbdecsyDFzTRLg1IbKB922GHcfPPN/Pvf/2bTpk256f369evzjV23bh116tQBoHbt2ns1btOmTWRlZYWNy8rKYsuWLfnmAnLHSZIkSZK0q8bkD44PJfQCvWj5mfxnHS8EsqL4DEkqyw7teAItjm0f1vf9zFks+Gx63GrYPecsSHEzzdKgVAbKderU4Z133mHJkiX88Y9/BCApKQmgwJ8c7LwWrXG737OnuYpSt25d9t9//2KNlWrWrAmEfv0hLS0twdWorHDdKBKuG0XCdaNIuG4UqbK0dqrl5HBYVhatduyg1c6PO3awbxR3vmUAC1NTmZ+ayvxKlXI//pqSP57eL2pPLXvK0rpR6eG6Kb+SkpK44PZbqJwc/s/Kma+8sVd5Xd26dYs9tqCcs7BaYc+ZZmlQ6gLlGjVqMGHCBCpXrkznzp3ZunUrAL/++iuQl9bvqnbt2ixcuBDI2zlc2Lid13cdt2LFitwxaWlpVKpUKWxcamoqNWrUCNulvHP+neMK88ILLxTjq5bC7VzPUkm4bhQJ140i4bpRJFw3ilSpWjs5ObB0KXzzTV6bMweWLIFo/tp006bQtm1Yq9ayJUelpHBU9J5SrpWqdaMyw3VTcQz44KO4PKewnLMgxc00S4NSFShXrlyZt99+m4MOOohOnTqxcuXK3GsZGRksXbqU1q1bh92TkpLCIYccwpgxYwBYsmQJ27Zto3Xr1owfPz53XIMGDahTpw7z588HyP3YunXrsLNJds5f0LiZM2cWOq4wV155JZMnTy7+N0EVWs2aNVm4cCGHHnoomzdvTnQ5KiNcN4qE60aRcN0oEq4bRSrRa6dmTg6H7dhB66wsWv+24/iwrCxqRjE43pKUxILfdht/99uO4wWpqWzcsQO++irUVCKJXjcqm1w35VNySgrXPvcotQ/I24kc5OTw7LU3s2bZ3r0PrWvXrnvcRFpUzlmQ4maapUVQGlpycnLw5ptvBhs3bgyOOeaYAsc8+uijwc8//xxUrVo1t++8884LgiAIjjrqqNy+d999N/jqq6/C7r311luDbdu2Bfvtt19u39y5c4O33norbNzw4cOD1atXB5UqVQqAIDU1NVi7dm3wz3/+M2zc2LFjg9mzZ+ersWfPnsGuevbsmfDvra3stLS0tCAIgiAtLS3htdjKTnPd2CJprhtbJM11Y4ukuW5skbZ4rZ1kCFpCcAEEwyAYA8H/IAii3BZD8CYEgyHoDcFBECSVgu9zeWv+M8cWSXPdlM/W4aJzg4fmfhHW+tx7d1Tm3lP+V5ycs6BW3Ewz0a3U7FB+/PHHOe+887j77rtJSUnh+OOPz722ZMkS1qxZwwMPPMCll17K22+/zUMPPUSjRo148MEHeeONN5g9e3bu+GHDhvHZZ5/x8ssv89xzz9G6dWuGDRvG8OHDWbUq772299xzT+5cY8eOpWPHjvTv359bbrmFrKzQKwx27NjBsGHDePDBB1mzZg3Tpk2jV69e9OjRg169esXt+yNJkiRJ2ju1yf+SvDZA9Sg+YwOhF+Pt+qK8ecCWom6SJEVV5WpV6Xr9VWF9Wdu3M+nxZ+Py/OLknIMHD2bIkCE0a9aMZcuWAcXPNEuDhKfaQPDDDz8Ehbn88stzx7Vr1y74+OOPg61btwarVq0Khg8fHlSvXj3ffF26dAlmzpwZZGRkBMuXLw+GDh0apKSk5BvXp0+fYN68eUFmZmbw/fffBwMHDiywvptuuilYsmRJkJmZGcybNy+4+OKLI/oJhc1WVPOnorZImuvGFklz3dgiaa4bWyTNdWOLtO3N2qkEQWsI+kBwPwTjIPiR6O44zoJgPgSjIfgTBGdD0KQUfN8qevOfObZImuum/LXTrr4s3+7kc26/OWrz7yn/K07OOXjw4CAIgqBp06Zh9xY300xkS/rtD4qSnj17Mnbs2NzPzznnHN59990EVqSyJC0tjY0bN1KrVi02bdqU6HJURrhuFAnXjSLhulEkXDeKVHHXTn3CdxwfCbQGqkSxlrWE7zj+BvgOyIjiMxQd/jNHkXDdlC/VatXirolvUK1WWm5f5pYt3H/WBWz5dX1UnlHR879Sc+SFJEmSJEk7BUHAypUrCX57CV5l4DDyQuOdAXLDKD5zB7CA8OD4G2BFFJ8hSYqt066+NCxMBpj64qtRC5NloCxJkiRJKmWaA0dt2cLLhxzC+Zs30wAYRnR3HaeTPzieD2yP4jMkSfG1T4P6nHTJRWF9m9auY+pLoxNUUflkoCxJkiRJSpiawNHAscBxhI6W6AJ0DgLYvBmAj4HhwKAI5t9G6HiKnaHxHGAuULpebSRJioYzrr+K1KrhP3784N8vsm3r1gRVVD4ZKEuSJEmS4qIyoeMqjiUvQD4MSP7t+nbgE6Dzbvd1Bt747XrlIub/ifDg+BtgEZAVjeIlSaVa/WZNOK732WF9635eyRevj0lMQeWYgbIkSZIkKeqSCYXFx5EXIB9J0YHwWqBxIdcaA+sInZmcAcwj/EV5c3+7LkmqmM4ccC0plcKjzvcef4bsHTsSVFH5ZaAsSZIkSdprzQjfedweSCvqhgLUBZYXcm0OcCOhIPl7ICeiKiVJ5dGBrQ/jqG6nh/WtXLyEWeMnJaii8s1AWZIkSZJUIvuRFx7vbPWjMO8KIBOYDHTdpX8iMIXQi/QkSdpdj1v65+ubOPwpghx//BgLBsqSJEmSpEKlEXpp3q5HVzSNwryrgS+Bmbu01b9dGwe0TUritIYNmZKezpwgMEyWJBWo5QnHckiH48L6fvj6G779+LMEVVT+GShLkiRJkgCoQt5L83YGyIeS99K8SG0CviI8QF5WxPh0YHONGoyYNYt7W7Zk8+bNe1mBJKm86n7z9fn6xj/8RAIqqTgMlCVJkiSpAkoGWhN+bEVbin5pXnFsI3Te8c7g+EtgISU/8zgpKYmGDRuSlJS0lxVJksqrI7p0pkmb1mF9330yjR9mzUlQRRWDgbIkSZIkVQDNCd953B6ouZdz5gDzCd95/A2wfS/nlSRpT5JTUuh+U/7dyRMeeSoB1VQsBsqSJEmSVM40IG/X8XHAMUC9KMz7A3m7jmcCswAPo5AkJcKxvbqzX/PwU/1njZ/EykXfJ6iiisNAWZIkSZLKsFqEAuNdj65oEoV5fyH8hXkzgTVRmFeSpL1VqUoVut5wTVhf9o4sJj727wRVVLEYKEuSJElSGVEFOIq8YyuOBQ6Lwrwbyf/SvB+jMK8kSbHQqc/57Ntgv7C+L94Yw7qfViSooorFQFmSJEmSSqEUwl+adxxwBJC6l/NuA2YTfnTFQiDYy3klSYqHqmk1Of33l4f1bduawQdPv5CgiioeA2VJkiRJKgUOJvzYivZAjb2cMxv4jrxdx18Cc4EdezmvJEmJ0vmKS6i+T62wvk9GjmbT2nUJqqjiMVCWJEmSpDhrSN6u42MJnYFcNwrz/o/wYytmAVuiMK8kSaVBWr26nHxpn7C+Les38PELrySooorJQFmSJEmSYmgf8l6atzNAPjAK86YTvvP4v8DaKMwrSVJpdcZ1V1KlerWwvo+efYnMzf74NJ4MlCVJkiQpSqoC7Qg/9/iQKMy7gVBgvGuA/FMU5pUkqayoe+ABnHB+r7C+9em/8NnoNxNUUcVloCxJkiRJEUgBDidv1/GxhF6at7f/kZVJ6KV5ux5dsQhfmidJqtjOHPB7UlLD/y076YnnyNq2LUEVVVwGypIkSZJUDC0I33ncDqi+l3NmA98SvvN4Hr40T5KkXe1/aEva9+gW1rfqh2X8d+yEBFVUsRkoS5IkSdJuGhG+8/hYoHYU5v2evPB450vztkZhXkmSyrPuN1+fr2/C8KfIyc5OQDUyUJYkSZJUoe1L6KV5uwbIB0Rh3pXk7TqeSegM5HVRmFeSpIrkoGPa0eqkE8P6fpz7HXM/+DgxBclAWZIkSVLFUY38L81rGYV515P30rydAfLPUZhXkqSKrsfN/fP1jX/4iQRUop0MlCVJkiSVS5WANoQfW9GG6Lw0bxbhR1csxpfmSZIUbYd37kSzo44I61v4+Qy+//KrBFUkMFCWJEmSVA4kEXpp3q7HVrQjtCN5b2SR99K8nTuP5/3WL0mSYicpOZmzbirg7ORHnkpANdqVgbIkSZKkMucAwo+tOIbQWch7azF5u46/BL4GMqIwryRJKpmjzz6TRi0PDuubPelDfvpuQYIq0k4GypIkSZJKtdqEH1txHNAoCvOuIG/X8c6X5v0ahXklSdLeSUlNpduN14T1ZWdlMfHRpxNUkXZloCxJkiSp1KhO6KiKXY+uaBGFeX8lFBjvGiCviMK8kiQp+k686Fzq7B/+4+Mv3x7HmmXLE1SRdmWgLEmSJCkhKgFHkLfr+FjgcCBlL+fNIO+leTsD5O/3ck5JkhQfVapXp8u1V4T17cjcxuSnnk9MQcrHQFmSJElSzARBwMqVKyEnh0MJP7qiHVB1L+fPAuaSt+t4JqGX6PnSPEmSyqZTLutDzTq1w/o+ffU/bFy1OkEVaXcGypIkSZKirhqh3cctNm/m5WbNuHT7dpoDtwHJezHvIsKPrZiNL82TJKm8qFF7X0654pKwvoyNm/jouZEJqkgFMVCWJEmStNdqAh2BU35rnwAnAJ0Btm8H4GPgIWBQMef8ibzg+EvgK2B9tAqWJEmlTpffX0HVGjXC+j56fiQZGzcmqCIVxEBZkiRJUontA3QiL0BuT95/XGwHRvFbmLyLzsAbv12vvNu1dYQfWzETWBn9siVJUilVe/+GnHjxuWF9G1at5tNXXktQRSqMgbIkSZKkPaoDnERegHwUhR9dsRZoXMi1xoR2Hq8g/OiKJVGsVZIklT3dbriGSpXDf+T8/lMvsCNzW4IqUmEMlCVJkiTlUx84mbwAuW0J7q0LLC/k2mfAn4CcvapOkiSVJw1bHMTRPc8K61vz40/MeHtsgipSUQyUJUmSJNGQvPD4FKB1hPPkAN8Ca4BJQLddrk0E/othsiRJCnfWwGtJTg7/3aeJjz5NTlZ2gipSUQyUJUmSpAroQMID5EMinCcbmAVM/a19Rt6L8z4G2iYlcVrDhkxJT2dOEJC+N0VLkqRyp9mRR9DmtFPC+n76biFzJn2YoIq0JwbKkiRJUgXQjPAA+aAI59lBaJfxzgB5GrCpkLHpwOYaNRgxaxb3tmzJ5s2bI3yqJEkqr7r/X/98fRMeeZIgCBJQjYrDQFmSJEkqh1oQHiA3iXCebYRenrczQP4c2FqC+5OSkmjYsCFJSUkRViBJksqrwzqdwMFHtwvr+/7Lr1j4+YwEVaTiMFCWJEmSyoHDCA+Q949wngxgOnkB8nQgMxoFSpIk7SIpKYnuN+ffnTz+kScTUI1KwkBZkiRJKmOSgMPJC49PBhpEONcWQruOdwbIXwLbo1CjJElSUY46swsHHBb+Foe5H07lx2++TVBFKi4DZUmSJKmUSwbakhcgnwTUi3CuTYRenLczQP6K0LnIkiRJ8ZJSqRJnDrw2rC8nO5uJw59KUEUqCQNlSZIkqZRJAdqRFyB3AmpHONd64FPyAuSvgey9L1GSJClix59/DvUaHxjW99+xE/nlf0sTU5BKxEBZkiRJSrBKwDHkBcgdgVoRzrUW+IS8APkbICcKNUqSJEVD5WpVOeP6q8L6srZvZ9ITzyaoIpWUgbIkSZIUZ5WB48gLkE8EakQ41yrywuOpwLdAEIUaJUmSYuGkfhdTq17dsL5po99kffovCapIJWWgLEmSJMVYVeAE8gLkE4BqEc61gvAAeUE0CpQkSYqD6vvU4tSrLg3ry9y8hQ+ffSlBFSkSBsqSJElSlFUntOt4Z4B8HFAlwrl+JDxA/j4aBUqSJCXAaVdfRrW0mmF9H494lS2/rk9MQYqIgbIkSZK0l9IInXu8M0A+BkiNcK7/ER4gL41CfZIkSYm2T4P6dLrkgrC+TWvXMXXEqARVpEgZKEuSJEkltA9wEnkBcnsgJcK5FhEeIP8UjQIlSZJKma7XX01qlfDf2frg3y+wPSMjQRUpUgbKkiRJ0h7UIRQgdyYUIB8JJEc413fkhcefACujUJ8kSVJptl/zphx37tlhfWt/WsEXr7+ToIq0NwyUJUmSpN3UB04mbwdy272Y6xvCA+TVe12dJElS2XLmgGtJTgn/fa5Jjz9D9o4dCapIe8NAWZIkSRVeQ/LC41OA1hHOkwPMIRQefwx8CqyLQn2SJEllVePDW3Fk19PC+lYuXsKsCZMTVJH2loGyJEmSKpzGhO9APiTCebKBWeTtQP4MWB+F+iRJksqL7rf0z9c3/uEnCXJyElCNosFAWZIkSeVeM0LBceffPjaPcJ4dwEzyjq+YBmza+/IkSZLKpZYnHMshJxwb1vfDrDnM/2RagipSNBgoS5IkqdxpQfgRFk0inGcbMIO8HchfAFujUaAkSVIF0KPA3clPJKASRZOBsiRJksq8wwgPkPePcJ4MYDp5ZyDPADKjUJ8kSVJF0/aMU2l8eKuwvu+mTuOHr79JUEWKFgNlSZIklSlJwOHkhccnAw0inGsL8Dl5O5C/BLZHoUZJkqSKLDklhbMGXhfWl5OTw4ThTyaoIkWTgbIkSZJKtWSgLeEBct0I59pE6MV5OwPk/wJZUahRkiRJeY7t3YP9mjcN65s1fhIrFy1JUEWKJgNlSZIklSopQDvyAuSTgH0jnGs98Cl5AfLXQPZeVyhJkqTCVKpShW79rwnry9qxg0lPPJugihRtBsqSJElKqErAMeQFyB2BWhHOtRb4hLwA+RsgJwo1SpIkqXg69b2AfRrUD+ub/voY1v20IkEVKdoMlCVJkhRXlYHjyAuQTwRqRDjXKvLC46nAt0AQhRolSZJUclXTanL6NZeF9W3bupX3//1CgipSLBgoS5IkKaaqAieQFyCfAFSLcK4VhAfIC6JRoCRJkqLi1Csvpfo+4b9r9snLr7F57a8JqkixYKAsSZKkqKpOaNfxzgD5OKBKhHP9SHiA/H00CpQkSVLUpdWry8mXXhzWt+XX9Xz84isJqkixYqAsSZKkvZJG6NzjnQHyMUBqhHP9j/AAeWkU6pMkSVLsnXHdlVSuVjWs74NnR5C5eUuCKlKsGChLkiSpWIIgYOXKldTKyckNj08B2gMpEc65iPAA+aeoVCpJkqR4qtv4QE44v1dY3/r0X/h89FsJqkixZKAsSZKkIqUA7YBDN2/m5SZN6J2VRVPgViC5hHN9R154/AmwMqqVSpIkKRHOHPB7UlLDY8ZJjz9L1vbtCapIsWSgLEmSpHz2Bc4EegJLgJOAzgBZWQB8DDwEDNrDPN8QHiCvjn6pkiRJSqADDjuE9t27hvX98r+l/PfdiQmqSLFmoCxJkiQAWhAKkHsSCpArAduB2/gtTN5FZ+CN365X/q0vB5hNXoD8KbAutiVLkiQpwc66+fp8fROHP0VOdnYCqlE8GChLkiRVUClAB/JC5FYFjFkLNC7k/gOBD4F5hALkz4AN0S9TkiRJpdTBx7SjVacOYX3LvvmWuR9OTVBFigcDZUmSpAqkFtCNUIDcHai7h/F1geWFXJsC3Bm90iRJklTGdL+lf76+8Q8/kYBKFE8GypIkSeVcc/J2IZ8CpJbg3ixgBzAZ2PVkvImEzkeWJElSxXT4qSfR7MgjwvoWTpvOkpmzElSR4sVAWZIkqZxJBo4nL0RuU8L7VwDjgLHAR0AG8A7QNimJ0xo2ZEp6OnOCgPQo1ixJkqSyIyk5me435T87ecLwpxJQjeLNQFmSJKkcqEloB/HOoyz2K+H9s4B3f2uzgGC36+nA5ho1GDFrFve2bMnmzZv3smJJkiSVVcf0PJOGLQ4K65v93gf89N3CBFWkeDJQliRJKqMak7cL+VSgSgnuzST0Qr13Ce1G/rkY9yQlJdGwYUOSkpJKWqokSZLKiUqVK9P1hmvC+rKzspj46NMJqkjxZqAsSZJURiQBx5IXIh9Zwvt/IRQevwu8D2yNanWSJEmqCDpcdC519m8U1jfjrXdZ8+NPCapI8WagLEmSVIpVB7oQCpDPBhqW8P455B1lMZP8R1lIkiRJxVWlRnW6/P7ysL4dmdt4/6nnE1SREsFAWZIkqZQ5gFB43BM4Hahagnu3AR8TeqHeOODHaBcnSZKkCuuUy/pSs07tsL5PX3mNjavXJKgiJYKBsiRJUoIlAe3JO8qifQnvXw2MJ7QLeTLg6/IkSZIUbTXr1OaUy/uG9W3duJGPnh+ZoIqUKAbKkiRJCVCV0O7jnUdZHFDC++eRd5TFDCAnqtVJkiRJ4U7//eVUrVEjrO+j514mY+OmBFWkRDFQliRJipOG5B1l0YXQ+cjFtQOYSt5RFj9EvTpJkiSpYLX3b8iJF58X1rdh1Wo+e/X1BFWkRDJQliRJiqEjCQXI5wDHlvDetcAEQruQJwEbo1uaJEmSVCzdbvg9lVJTw/omP/U8OzK3JagiJZKBsiRJUhRVAU4l7yiLJiW8fwGhXcjvAl8A2VGtTpIkSSqZhi0O4uieZ4b1rV62nC/ffjdBFSnRkhNdwE4HHHAAw4cPZ/r06WRkZBAEQb4xl19+OUEQ5Guvv55/e/3pp5/Ol19+SUZGBj/++CNDhgwhOTn/l9unTx/mzp1LRkYGixcvZsCAAQXWN3DgQBYvXkxGRgZz587loosu2vsvWpIklQv7AVcCbwFrgInADRQvTM4CpgC3Ai2BVsAdwGcYJkuSJCnxut90fb5M7b1HnyYny/+3WpTiZJ0FGTx4cIH55wMPPBDjiouv1OxQbtGiBRdeeCEzZ85kxowZnHLKKYWO7d69O+vWrcv9fO3atWHXjznmGCZMmMDrr7/OHXfcQevWrfnHP/5BjRo1GDRoUO64Xr16MWrUKP71r38xcOBAOnXqxMMPP0wQBDz++OO5426++WYefPBBhgwZwrRp0+jduzejRo1i69atjBs3LorfBUmSVFa0IbQLuSdwPCX7Kf2vhELnd4H3gPXRLk6SJEmKgmZHteXwU08K61v+3QLmTP4oQRWVHSXJOne3bdu2fONXrFgR7RL3SlAaWlJSUu6f77jjjiAIxfZh7fLLLw+CIAgaNGhQ5Fzjxo0LZs2aFTbnH/7wh2Dbtm3Bfvvtl9s3b968YMyYMWH3PvbYY8Hq1auDSpUqBUCQmpoarF27Nnj44YfzPWP27Nn5nt2zZ89gVz179kz499ZWdlpaWloQBEGQlpaW8FpsZae5bmyRNNdNyVtlCM6AYDgEP0AQlLAtguAhCE6BoFIp+HpcN7Z4NdeNLdLm2rFF0lw3tkia66bwduOLTwYPzf0irB3S4biE15XoVpz8rzhZZ0Ft8ODBQUZGRsK/xqJaqTnyorjbvvckNTWVLl26MHr06LA5R44cSeXKlenWrRsATZs25fDDD+fVV18Nu3/kyJHUq1ePDh06AHDiiSdSp06dAscdeeSRNG7cOCp1S5Kk0qcu8DvgP8BqYDIwEGhWjHuzgU+AQcBhwCHAbcBUQsdcSJIkSaXZYSd14KCjjwrrWzzjvyz64svEFFTGRCvrLI1KTaBcErNnzyYrK4tly5bx17/+lSpVquReO/jgg6lSpQrffvtt2D3p6emsW7eOVq1aAeR+3H3czs9LOk6SJJUPrYDbgU+BX4CXgAuBWsW4dyPwGnApoXOVTwEeBBbGpFJJkiQpNpKSkuhxc/98/RMeeTIB1VQ8lStXJj09nR07drB48WIGDRpEUlJSosvKVWrOUC6OlStXMnjwYL788kt27NjB6aefzq233soRRxzB2WefDUDt2rUBWL9+fb77161bR506dYoct2nTJrKyssLGZWVlsWXLlnxzAbnjJElS2VQJOJm885APLuH9/yN0FvK7hHYk74hqdZIkSVL8tet+Bvsf2jKs75sPPubHud8lqKKK4/vvv+eOO+5g9uzZpKSk0Lt3b/72t7/RtGlTBgwYkOjygDIWKE+ePJnJkyfnfv7hhx+yYsUKHn30UU444QSmT5+em9YXtK181yS/qHG737OnuYpSt25d9t9//2KNlWrWrAlAo0aNSEtLS3A1KitcN4pERV83++bkcGpmJmdkZtJ52zb2KcGvo+UAX6Wm8n7VqrxftSqLKlWC3/5/Qf0Y1VtaVPR1o8i4bhQp144i4bpRJFw34VIqVeLcWwZQOTklty8nO5tZo98y4/pN3bp1Yzb3K6+8Evb5pEmT2LJlC7fccgv3339/qXg5X5kKlAvy2muv8eijj3LMMccwffr03J3DO3cg76p27dq513cdt+tfRFpaGpUqVQobl5qaSo0aNcJ2Ke+cf+e4wrzwwgt78dWpolq40F+OVsm5bhSJCrVuFi6Ed98NtWnTIDu7+PfWrAldu8I555DcvTvH1q/PscCfYlZs6Vah1o2ixnWjSLl2FAnXjSLhuinaTdM9OzlRXnvtNW677Tbat29voBwNO3cP7/y4ZMkStm3bRuvWrRk/fnzuuAYNGlCnTh3mz58PkPuxdevWYecjt27dOuz6ruNmzpxZ6LjCXHnllWG7qqWi1KxZk4ULF3LooYeyefPmRJejMsJ1o0hUhHWTEgQcu307Z/y2E/ngkgTIwE8pKbxfpQrvV63KF1WqsH36dJg+Hf5UUWPkirFuFH2uG0XKtaNIuG4UCddNntSqVbh+xFPUrJO3UTNr23aevuoGNq5ak8DKSpeuXbsmZBNpaXnRX5kPlC+55BKA3LB3x44dvP/++/Tp04cHHnggd1y/fv3Yvn07kyZNAmDZsmXMmzePvn378vrrr4eNW7NmDV988QUAn3/+OevWraNv375hgXK/fv2YM2cOy5cvL7K+tWvXloqfHKhs2PmrNStXrmTTpk0JrkZlhetGkSiv62Yf4ExCZyGfBZTkTQc5wJfknYc8Nzsbtm4NNQHld90otlw3ipRrR5Fw3SgSrps8p//+cirvW4vtOXmbMT5+9TUWzP4mgVWVPmvXro3r8/r27Ut2djazZs2K63MLU6oC5fPPPx+ANm3ahH3+3XffMX/+fCZNmsRHH33EvHnz2LFjB126dOHmm29mzJgxfPll3rb7YcOG8dlnn/Hyyy/z3HPP0bp1a4YNG8bw4cNZtWpV7rh77rmHt99+m4ceeoixY8fSsWNH+vfvzy233EJWVhYQCqiHDRvGgw8+yJo1a5g2bRq9evWiR48e9OrVK17fGkmSVIiDyXuh3klAagnu3QK8TyhAHg/8EvXqJEmSpLKh+j61OPXKS8P6MjZt5qNnX0pQRWXfnrLOwYMHM2TIEJo1a8ayZcsA+OqrrxgxYgQLFiwgNTWVXr16cfXVVzN8+HBWrlyZmC+kAEFpaYUZPHhwAAT/+te/ggULFgSbNm0KMjMzg++++y646667gtTU1HxzdenSJZg5c2aQkZERLF++PBg6dGiQkpKSb1yfPn2CefPmBZmZmcH3338fDBw4sMDabrrppmDJkiVBZmZmMG/evODiiy8ucFzPnj3Dau/Zs2fCv6+2stPS0tKCIAiCtLS0hNdiKzvNdWOLpJXldZMMQUcI/gbBtxAEJWzLIXgCgrMgqFoKvp6y1MryurElrrlubJE2144tkua6sUXSXDeh1vO2gcFDc78Ia12uvSLhdZXGVtz8b09Z5+DBg4MgCIKmTZvm3jN69OhgyZIlwdatW4OtW7cGs2bNCm644YaEf827tqTf/qAo6dmzJ2PHjs39/JxzzuHdd99NYEUqS9LS0ti4cSO1atWq8L9mo+Jz3SgSZW3dpAHdCO1C7g7UK+H9/wXGEtqJPDuqlVUsZW3dqHRw3ShSrh1FwnWjSLhuYN8G+/HH8f8htUqV3L5Na9dx/1kXsD0jI4GVlU4VPf8rVUdeSJIk7dSUvKMsOgOVS3BvBvABoQB5HFB6fjFMkiRJKn269r86LEwGeP/pFwyTVSADZUmSVCokA8eRFyIfUcL7VxAKj98FPiQUKkuSJEkq2n7Nm3Js7x5hfWt/WsH018ckpiCVegbKkiQpYWoAZwDnAD2A/Up4/9fkHWUxC8/xkiRJkkrqrIHXkZySEtb33uP/JjsrK0EVqbQzUJYkSXF1IHm7kE8DqhQ9PEwm8BF5R1n8FPXqJEmSpIqjcZvWtD3j1LC+FQsX8/X4yQmqSGWBgbIkSYqpJOAY8kLko0p4/y/kHWXxAbAlmsVJkiRJFViPW/rn65vwyFMEgb/7p8IZKEuSpKirBnQhFCCfDTQq4f3fEAqQ3wW+xKMsJEmSpGg7pMOxtDz+mLC+/301m/mffp6gilRWGChLkqSo2J9QeNwTOJ1QqFxc24Ep5B1lsSzq1UmSJEnaKSkpie43F7Q7+ckEVKOyxkBZkiRFrB2hF+r1BI4u4b2rgfGEQuTJwOboliZJkiSpEG27nkbjw1uF9X378Wf88PU3CapIZYmBsiRJKraqhF6kt/MoiwNLeP+35B1lMR3IiWp1kiRJkvYkuVIKZw24NqwvJyeHCcOfSlBFKmsMlCVJUpEakHeURRegRgnu3QFMJS9E/iHq1UmSJEkqieN6n039Zk3C+maNm0T64iUJqkhljYGyJEnKpy2hAPkc4LgS3rsOmACMBSYBG6NbmiRJkqQIpVatQtfrrw7ry9qxg0lPPJOgilQWGShLklQBBUHAypUrCYIAgMrAqYRC5J5AkyLuLcgC8nYhfw5kR69USZIkSVHSqe8F7NOgfljfF/95m3U/r0xQRSqLDJQlSapgGgJHbtnCy0cdxVmbN7Mv8CBQqwRzZAGfkhcifx/1KiVJkiRFU7VaaZx2zWVhfdu2buWDZ15MTEEqswyUJUmqQJoAzwBdgwBWrQLgY+BpYNAe7l0PTCQUIE/87XNJkiRJZcOpV15K9Vrh20imjhjF5rW/JqgilVUGypIkVQCdgMuBr4Guu13rDLwBbCd09MWuFpO3C/kzQjuTJUmSJJUtterX46R+F4X1bfl1PR+PeDVBFaksM1CWJKmc2o9QiHw1cCiwktAL8wrS+Ldr9QmdgTyWUIi8MPZlSpIkSYqxM667ksrVqob1ffDMCLZt2ZqgilSWGShLklSOpADdgGuAs4HUXa7VBZYXct984FZgEoWHzpIkSZLKnnpNDuT4888J6/t1ZTqfv/ZWgipSWWegLElSOdAcuAq4EjigkDGVCZ2h/DGhYy52mkgoSE6PXXmSJEmSEuTMAdeSUik8Apz0xLNkbd+eoIpU1hkoS5JURlUFziW0G/m0Yt5zDPAX4G9JSZzasCFT0tOZEwSGyZIkSVI5dECrQ2h31hlhfelLfuCrd99LUEUqDwyUJUkqY44kFCL3A2oXY3w68CLwPKGX7AHUrFGDF2fN4t6WLdm8eXNM6pQkSZKUWN1v6p+vb+Lwp8jJzk5ANSovDJQlSSoD9gH6EgqSjy7G+GxgPPAcMAHI2u16UlISDRs2JCkpKap1SpIkSSodDj62PYd1OiGsb9mcecz76JMEVaTywkBZkqRS7GTgauBCoFoxxn9PKEQeAayMYV2SJEmSSrceN+ffnTz+4ScSUInKGwNlSZJKmYbA5YResndIMcZnAG8CzwKfAEHsSpMkSZJUBrQ57RSaHtkmrG/BZ9NZ8t+vE1SRyhMDZUmSSoEUoDuh3cg9KN6/oGcRCpFfBTbErjRJkiRJZUhySgpn3XRdvv4JjzyZgGpUHhkoS5KUQC0I7US+HNi/GOPXA68QOtbCvQWSJEmSdnd0zzNpeHDzsL6vJ0zm5wWLElSRyhsDZUmS4qwacD6h3cidi3nPFEK7kd8CMmNTliRJkqQyrlLlynS74ZqwvuwdWUx87JkEVaTyyEBZkqQ4aQdcA1wC7FuM8SuAF4HngSUxq0qSJElSeXHixedRu1HDsL4Zb41l7fKfElSRyiMDZUmSYmhfoB+h3cjtijE+CxhH6EiLiUB2zCqTJEmSVJ5UqVGdLr+/PKxve0Ym7z/9QoIqUnlloCxJUpQlAacQ2o18PlC1GPcsIhQivwSkx640SZIkSeVU5yv6UaP2vmF9n77yHzauXpOYglRuJUdyU1JSEtdccw0ff/wx69atY8eOHaxbt46PP/6Ya665hqSkpGjXKUlSqbc/cCewmNCZx/0oOkzeCowATgYOBf6BYbIkSZKkkqtZtzanXNYnrG/rho189PzLCapI5VmJdyjXrFmTCRMmcOKJJ5KTk8OPP/7I/Pnz2W+//ejQoQOdOnXid7/7Hd27d2fLli2xqFmSpFKjEtCD0JEW3YGUYtwzk9Bu5FHAxtiVJkmSJKmC6PL7K6hSvXpY30fPvUTmps0JqkjlWYl3KN9333107NiRl156iebNm9OiRQs6duxIy5Ytad68OS+++CKdOnXivvvui0W9kiSVCocAfwOWA2OAnhQdJq8DhgNHAscBT2OYLEmSJGnv1TmgER0uOjesb8Mvq/ls1BsJqkjlXYkD5Ysuuohp06Zx1VVX8fPPP4ddW7FiBddccw2ff/45F198cdSKlCSpNKgOXAZ8AiwE7gAaFnkHfAj0JXQcxs3AN7EsUJIkSVKF0+2G31MpNTWsb/JTz7Ejc1uCKlJ5V+IjL9LS0vjkk0+KHDN16lSOOuqoSGuSJKlUOYbQkRaXALWKMf4n4IXf2g8xrEuSJElSxdbokINpf3a3sL7VS3/kyzHjElSRSpPnnntuj2NycnLYtGkTixYtYvz48SxfvnyP95Q4UJ49ezYtWrQockyLFi2YM2dOSaeWJKnUqA1cSihIPrIY43cA7wLPApOAnNiVJkmSJEkAnDXwepKTww8gmPDo0+RkZSeoIpUmV1xxBUEQAJCUlJTvehAEYf3Dhw/noYce4s477yxy3hIfefHnP/+ZXr16cemllxZ4vV+/fpxzzjncc889JZ1akqSESgJOB14FVpB35nFRFgCDgAOB84GJGCZLkiRJir3m7dpyeOdOYX3Lv53P3PenJKgilTY1atRg4sSJzJ49m4suuogmTZpQtWpVmjRpwsUXX8zs2bOZMGECTZo04fTTT2fmzJkMGjSIq666qsh5S7xDuWPHjkydOpUXX3yRO++8k2nTprFq1Srq16/PiSeeSKtWrXj//ffp1KkTnTrlLeogCLj33ntL/pVLkhRjBwBXAlcBzYsxfgvwH0K7kT+PYV2SJEmSVJget9yQr2/CI0/m7kiV7r//flq2bEnbtm3Zvn17bv/PP//MG2+8wbvvvsucOXO47bbbuPXWW+nWrRvz58/nuuuu4/nnny903hIHykOGDMn982GHHcZhhx2Wb0zXrl3p2rVrWJ+BsiSpNEkFehI60qIbkFKMe2YAzwGjgU2xK02SJEmSitTqpBNp3j789ykXT/8vi76YmaCKVBpdfPHFvPzyy2Fh8q62bdvGO++8Q79+/bj11lvZvHkzkyZN4qKLLipy3hIHys2bF2fvliRJpdNhhELky4D9ijF+LfAyoSB5XgzrkiRJkqTiSEpOpvst/fP1j3/kyQRUo9Js3333pWbNmkWOqVmzJrVr1879fPXq1fnO5d5diQPlH3/8saS3SJKUUDWAiwgFyR2Lec9kQiHyGKDgn+VKkiRJUvy1634G+x/SIqxvzuSPWD7vuwRVpNJq3rx59O3bl4ceeogffvgh3/WDDz6Yvn37Mm9e3vappk2bsnr16iLnLXGgvN9++7Fq1ao9jjv++OOZMWNGSaeXJClqjgOuAfoAacUYvxx4HngBWBbDuiRJkiQpEimVKnHmjdeG9eVkZ/PeY/9OUEUqzQYPHpx7TvJLL73EjBkzWL16NfXr1+eEE07gd7/7HVWrVmXw4MEAVK1alW7dujF+/Pgi5y1xoDxv3jyuv/563nrrrQKvp6SkMHToUAYNGkSVKlVKOr0kSXulLnApoSC5TTHGbwfeIbQb+X0gJ3alSZIkSdJeOeHC3tQ9cP+wvpljxrPqB7fEKL/33nuPc889lyeeeIL+/ftz/fXX515LSkri559/5sYbb+S9994DoFKlSpx77rksWbKkyHlLHChnZmbyn//8h1deeYUBAwawaVPea4lat27Nyy+/zFFHHcUnn3xS0qklSYpIEtCF0JEWvYHi/DjzW0Ih8svAmphVJkmSJEnRUblaNc647sqwvh3btjH5yecSVJHKgnHjxjFhwgROOukk2rZtS1paGps2beKbb77h008/JScnb1vV5s2bi5XpljhQbtOmDU888QSXXnopJ598MldddRVTpkzh1ltv5S9/+QtJSUkMGjSIf/7znyWdWpKkEmkMXAlcBTQtxvjNwGhCQfL0GNYlSZIkSdF28mV9SKtbJ6xv2qg3Wf/Lno+mVcWWk5PD1KlTmTp1alTmK3GgvHHjRi699FLGjBnDE088weTJk1m8eDGHHHIIX3/9NZdddhnz58+PSnGSJO2uMnAOoSMtzgCKfvdsyBfAs8B/CIXKkiRJklSW1Nh3H069ol9YX8amzXz47IgEVaSyplOnTrRt25ZatWqxceNGvvnmGz777LOI5ipxoLzTG2+8waGHHsqwYcM49NBDWbt2Leeddx7Lly+PdEpJkgrVmtCRFpcB9YoxfjWh4yyeA3zXsSRJkqSy7LRrLqNqzRphfVNeGMnWDRsTVJHKilNOOYXnnnuOZs2akZSUlNsfBAFLly7lmmuu4eOPPy7RnBEFyvXr1+fZZ5+lR48eLF68mA8//JBrr72Wr776igEDBvCf//wnkmklSQpTE7iYUJDcoRjjc4DJhHYjjwV2xK40SZIkSYqLfRs2oGOf88P6Nq5Zy6cjzd9UtPbt2zNx4kRSUlIYOXIkU6dO5ZdffqFBgwacfPLJ9O3blwkTJtCpUydmzZpV7HlLHCj37t2bp556ivr16/PEE08waNAgMjMzee2113jxxRd59dVXOffcc+nfvz/r168v6fSSJHECoSMtLiYUKu/JMuB54AXA35ORJEmSVJ507X81qVXCXz3+wdMvsD0jI0EVqawYMmQIWVlZdOjQgTlz5oRde+GFF/jXv/7FZ599xuDBg+nVq1ex5y3O0ZNh3nzzTXbs2MGZZ57JwIEDyczMBOCTTz7hiCOOYMSIEVx00UXMnTu3pFNLkiqwesCtwLeEzjy+mqLD5G3Aa0BX4CBgGIbJkiRJksqXBgc149he3cP61iz/ielvvJOgilSWdOzYkdGjR+cLk3f65ptvGD16NJ06dSrRvCUOlF977TXatGnD+++/n+/ali1buPrqqzn33HOpVCni45klSRVEMnAm8DrwM/AQobOSizIXuAU4AOgDvE/oqAtJkiRJKm/OHHgdySkpYX3vPfYM2VlZCapIZUnVqlVZu3ZtkWPWrVtH1apVSzRviQPlSy65hA0bNhQ5ZuzYsbRp06akU0uSKoimwFBgKTARuACoXMT4TcC/geOBtsAjQNH/SpQkSZKksq3JEa1p26VzWN+KhYuZPTH/Jk+pIIsWLaJnz56k7PZDiZ1SUlJy35FXEiUOlHeqUqUK3bt35//+7/+4++67w/rr16/PunXrIp1aklQOVQYuIvTSvP8BfwYa7+Gez4ArgUbAdcCXsSxQkiRJkkqRHrfckK9v/CNPEgRBAqpRWfT888/TqlUr3n//fTp27EhSUhIASUlJdOzYkcmTJ9OqVSuee+65Es0b0bkUF110EY899hh16tQhKSmJIAi49957AWjTpg0zZszgiiuuYOTIkZFML0kqR9oQesHepUDdYoxfBYwg9JK9BTGsS5IkSZJKq0M6HEeL444O61vy1dcs+PSLBFWksujRRx/lqKOO4oorrmDq1Knk5OSwbt066tSpQ3JyMklJSbz00ks8+uijJZq3xDuUzzjjDF599VU2btzIwIEDefXVV8Ouf/XVV8yfP58LLrigpFNLksqJNOD3wAxCZx7fTNFhcjYwATgPOBC4HcNkSZIkSRVTUlJSgbuTJ/zryQRUo7Lu6quvplu3brz88svMnTuXjRs3MnfuXF5++WW6devGlVdeWeI5S7xD+e677yY9PZ1jjjmG9evXU79+/XxjZs2aVeK3A0qSyr6OwNWEjraoUYzxPwDPAS8SeimfJEmSJFV0R3Y9jQNbHxrWN2/KJyydMzdBFams++CDD/jggw+iNl+JA+V27drx0ksvsX79+kLH/PzzzzRs2HBv6pIklRH7AZcRCpIPK8b4bcCbhILkKYCnf0mSJElSSHKlFM4ceF1YX05ODhOHP52gilSW/O53v4v43pdffrnYY0scKAdBQE5OTpFjGjZsSEZGRkmnliSVESlAN0Ihck8gtRj3zAGeBV4Bfo1daZIkSZJUZh13bk/qNw1/fflX775H+vf/S1BFKktefPFFgiDIfflecQVBENtAee7cuZx66qm5L+PbXdWqVenSpQtfffVVSaeWJJVyzYGrgCuBA4oxfgMwilCQ7L8VJEmSJKlwqVWr0PX6q8L6snbsYNITzySoIpU1p556alyeU+JA+amnnmLEiBE8/fTT3HzzzWHXateuzTPPPMP+++/PTTfdFLUiJUmJU4XQy/KuBk4v5j2fEDrS4g1ga4zqkiRJkqTy5KR+F7HPfuHvKvv8tbf4dUV6gipSWfPJJ5/E5TklDpRHjhzJ8ccfzw033EC/fv3YsGEDAPPmzaNFixakpqYyfPhwxowZE+1aJUlx1Ba4BugH1CnG+HRgBPA8sCiGdUmSJElSeVOtVhqnXnVpWF/mli18+MyIBFUkFS45kpsGDhxIz549+eijj0hOTiY7O5uGDRsyZcoUzj33XP7v//4v2nVKkuKgFnAdMJPQmccDKTpMzgbeBXoDjYE/YpgsSZIkSSV12lWXUr1WrbC+qSNGsXmdb6BR6VPiHco7TZgwgQkTJkSzFklSgpxEaDfyBUD1Yoz/ntBO5BHAihjWJUmSJEnlXa396nNSv4vD+jav+5WpL41KUEVS0SIOlCVJZVtD4HJCL9k7pBjjMwmdifwcMBXI/1pWSZIkSVJJnXHdlaRWrRLW98EzI9i2xTfSqHQyUJakCiQFOIvQbuQeFO9fAl8DzwKvAutjVpkkSZIkVTz1mjbm+PN6hvWtW7GSL/7zdoIqkvbMQFmSKoCDCe1EvgLYvxjj1wOvENqN/HXMqpIkSZKkiu2sAdeSUik8npv0+LNkbd+eoIqkPTNQlqRyqipwPqHdyJ2Lec/HhHYjvwVkxKQqSZIkSRLAga0P5agzu4T1pX//P74a916CKpKKx0BZksqZdsDVQD9g32KMXwm8SOgle9/HrCpJkiRJ0q6633R9vr4Jw58iyMlJQDVS8RkoS1IZFwQBK+fP56pt27gMaF+Me7KA8YR2I08EsmNZoCRJkiQpTIvjjubQjieE9S2dM5dvp3yaoIqk4jNQlqQyrC3QbvNmXm7dmmzgQ+AoILmQ8YsJhcgvAelxqVCSJEmStLvuN/fP1zf+4ScTUIlUcgbKklQGNQNOBS4j/Hzkj4GHgEG79G0F3iAUJPuzbkmSJElKrCNOP4WmbQ8P65v/2Rf877++El1lQ2Gb2CRJpVBt4EHgG6AG+V+21xlYBmwH/gv0B/YHLscwWZIkSZISLTklhbMKOjvZ3ckqQ9yhLEllQBVgAHAXoVB5JdC4kLG1Cb2Y77v4lCZJkiRJKqZjep5Fg4OahfXNmjCZFQsXJ6YgKQIGypJUiiUBlwD3AU136a8LLC/knhkYJkuSJElSaVOpcmW63XhNWF/2jizee+yZBFUkRcYjLySplDod+AoYSXiYDFAZaAJ8tFv/RGBu7EuTJEmSJJXQiX3OY9+GDcL6pr/5DmuX/5SgiqTIuENZkkqZtsDfgTOLGLMaWAo8AhyelMRpDRsyJT2dOUFAehxqlCRJkiQVX9WaNejy+yvC+rZtzeD9p19ITEHSXnCHsiSVEgcCLwBfU3iYvBW4FzgYeAL4Gfi8Rg0unzWLaTVqGCZLkiRJUinU+Yp+1Nh3n7C+T0e+xqY1axNUkRQ5dyhLUoLVAu4EbgaqFTImm1DYPBhYsdu1pKQkGjZsSFJSUuyKlCRJkiRFpGbd2pz8uz5hfVs3bGTKi68kqCJp7xgoS1KCpAL9gXuAekWMGw/8EZgXj6IkSZIkSVF1xrVXUqV6+PahD599icxNmxNUkbR3DJQlKQEuAu4ndHRFYf4L3A5MiUtFkiRJkqRoq3Pg/pxwYe+wvg2/rOazUW8kpiApCgyUJSmOTgYeAI4rYswPwJ+A14AgHkVJkiRJkmLizBt/T6XU1LC+SU8+S9a2bQmqSNp7BsqSFAetgL8B5xQxZh3wF0Iv29sej6IkSZIkSTHT6JAWtOveNaxv1Q/LmDlmfIIqkqLDQFmSYqgRMAS4GkgpZEwm8AihwHl9XKqSJEmSJMVa95uuJzk5Oaxv4qNPk5OdnaCKpOgwUJakGKgJDAJuA2oUMiYHGEnopXw/xqkuSZIkSVLsNW9/JK1P6RjWt/zb+Xzzvm/JUdmXvOch8XHAAQcwfPhwpk+fTkZGBkFQ8Mmh7dq1Y8qUKWzZsoX09HSGDx9OtWrV8o07/fTT+fLLL8nIyODHH39kyJAh+X4qBNCnTx/mzp1LRkYGixcvZsCAAQU+d+DAgSxevJiMjAzmzp3LRRddtHdfsKRyqRLQH/ge+DOFh8nvA0cDl2OYLEmSJEnlTY+b++frG//wkwmoRIlS3KyzIMXNNROl1FTSokULLrzwQlatWsWMGTMKHNOkSRM++ugjtm3bRu/evbn99tvp06cPL730Uti4Y445hgkTJrBo0SK6d+/O3//+dwYNGsTf//73sHG9evVi1KhRvP/++5x11lmMGDGChx9+mBtvvDFs3M0338w///lPXnzxRc466yw+/PBDRo0axdlnnx3db4KkMq03MI/QGcgNChkzB+j6W5sdl6okSZIkSfHU+pRONG9/ZFjfoukzWTx9ZoIqUiIUJ+ssSHFzzUQLSkNLSkrK/fMdd9wRBKHYPqw99thjwYoVK4Jq1arl9l1wwQVBEATBUUcdlds3bty4YNasWWFz/uEPfwi2bdsW7Lfffrl98+bNC8aMGZPvGatXrw4qVaoUAEFqamqwdu3a4OGHHw4bN27cuGD27Nn5auzZs2ewq549eyb8e2srOy0tLS0IgiBIS0tLeC224rcOEHwGQVBE+xGCyyBIjsHzXTe2SJrrxhZJc93YImmuG1ukzbVji6S5bmyRtGium6Tk5OAPb40MHpr7RVhrfHirhH+dtui14uR/xck6C2rFzTUT2UrNDuXibPvu0aMHY8aMISMjI7fv7bffZvPmzfTs2ROA1NRUunTpwujRo8PmHDlyJJUrV6Zbt24ANG3alMMPP5xXX3017BkjR46kXr16dOjQAYATTzyROnXqFDjuyCOPpHHjxpF9wZLKvJbAG8DnQMdCxmwA7gAOAV4idG6yJEmSJKl8at+9K41aHhzWN2fyRyz/dn6CKlKilOSIi52Km2smWqkJlPekWrVqNGvWjG+//TasPzs7m0WLFtGqVSsADj74YKpUqZJvXHp6OuvWrcsdt/Pj7uN2fl7ScZIqjv2Ax4DvgPMLGbMd+BdwMPAPIDM+pUmSJEmSEiQlNZVuN/4+rC87K4uJjz6doIpU1hQ310y0SokuoLj23XdfANavX5/v2rp166hTpw4AtWvX3qtxmzZtIisrK2xcVlYWW7ZsyTcXkDtOUvlXHbgVuB1IK2LcKOAu4Id4FCVJkiRJKhU6XNiLugfuH9Y3c8x4Vi/1VewqnuLmmolWZgLlpKQkoODt4juvRWvc7vfsaa6i1K1bl/3333/PAyWgZs2aADRq1Ii0tKIiS8VTShBw0dat/GHTJhrmFH5oxeeVK3NvrVrMqVwZgHj9L991o0i4bhQJ140i4bpRpFw7ioTrRpGIxrpJrVaVs2+8lsrJKbl9O7Zt45u3x5sLlUN169aNybzFzTUTrcwEyr/++iuQl9Tvqnbt2ixcuBDI2zlc2Lid13cdt2LFitwxaWlpVKpUKWxcamoqNWrUCNulvHP+neMK88ILLxTvC5R2sXM9K8GCAMaPhzvugJUrCx/XujX8/e+c2KMHExL4D3jXjSLhulEkXDeKhOtGkXLtKBKuG0UiFuvm/+Z8E/U5VX4VN9dMtDITKGdkZLB06VJat24d1p+SksIhhxzCmDFjAFiyZAnbtm2jdevWjB8/PndcgwYNqFOnDvPnhw5B3/mxdevWYeeS7Jy/oHEzZ84sdFxhrrzySiZPnlzir1cVU82aNVm4cCGHHnoomzdvTnQ5FdqR27dz98aNnLh9e6Fj0pOTeTAtjf/8+ivZ110Xx+rCuW4UCdeNIuG6USRcN4qUa0eRcN0oEnu7bqrtU4v+Lz1Jleo1cvsyN2/myd9dT6brsFzq2rVrTDaRFjfXTLQyEygDjBs3jvPOO4/bbruNzMzQK6569epFzZo1effddwHYsWMH77//Pn369OGBBx7Ivbdfv35s376dSZMmAbBs2TLmzZtH3759ef3118PGrVmzhi+++AKAzz//nHXr1tG3b9+wQLlfv37MmTOH5cuXF1nz2rVrw3ZAS0XZ+as1K1euZNOmTQmupmJqDtwH9C1izCbg78C/cnLYumEDbNgQl9oK47pRJFw3ioTrRpFw3ShSrh1FwnWjSOztujmn3wUkVa3K9pzs3L73nhnB/xYtilqNKl3Wrl0bk3mLm2smWqkKlM8//3wA2rRpE/b5d999x/z583nggQe49NJLefvtt3nooYdo1KgRDz74IG+88QazZ8/OnWfYsGF89tlnvPzyyzz33HO0bt2aYcOGMXz4cFatWpU77p577smda+zYsXTs2JH+/ftzyy23kJWVBYT+IocNG8aDDz7ImjVrmDZtGr169aJHjx706tUrTt8ZSbFWB7gbuBGoXMiYHcDTwDBgdZzqkiRJkiSVXvs2bEDHPueH9W1cs5ZPX3ktQRWpNNlT1jl48GCGDBlCs2bNWLZsGVD8XDPRgtLSCjN48ODcMe3atQs+/vjjYOvWrcGqVauC4cOHB9WrV883V5cuXYKZM2cGGRkZwfLly4OhQ4cGKSkp+cb16dMnmDdvXpCZmRl8//33wcCBAwus7aabbgqWLFkSZGZmBvPmzQsuvvjiAsf17NkzrPaePXsm/PtqKzstLS0tCIIgSEtLS3gtFaVVheB2CH6FICiivQ5By1JQr+vGFq3murFF0lw3tkia68YWaXPt2CJprhtbJG1v1s3Ff7kreGjuF2HtxIvPS/jXZIttK27+t6esc/DgwUEQBEHTpk3D7iturpmoVqp2KBfnbYVff/01nTt33uO4Dz74gA8++GCP40aPHs3o0aP3OG748OEMHz58j+MklQ3JwKXAvUDjIsZNAwYBX8SjKEmSJElSmdHg4OYc0/OssL41P/7E9DffSVBFKm32lHUOHTqUoUOH5usvbq6ZKKUqUJakeOgK/AM4sogxC4E/AmPiUZAkSZIkqcw5a+B1JKekhPW999i/ycnKLuQOqXxITnQBkhQvRwKTfmuFhcm/AP2BNhgmS5IkSZIK1qTt4Rxx+ilhfT8vWMTs90rvrlIpWtyhLKncawL8hdARF4X9FG0L8BDwALA5TnVJkiRJksqmHrfckK9vwiNPEgRBAqqR4stAWVK5tS9wJ3ATULWQMdnAc8AQYGVcqpIkSZIklWWHdjyBFse2D+tb8t+vWfDZ9ARVJMWXgbKkcqcycCNwN1CniHFjCZ2TPD8eRUmSJEmSyrykpCR63Nw/X//4h59IQDVSYhgoSyo3koCLgfuB5kWM+xIYBHwSj6IkSZIkSeXGkd1O54BWh4T1zftoKsvmzEtQRVL8GShLKhc6Ezr/+JgixiwhdATG6/EoSJIkSZJUriRXSuGsgdeF9eXk5DBh+NMJqkhKDANlSWXa4cDfgR5FjFlD6KV8TwHb41GUJEmSJKncOf7cc6jX5MCwvq/encgvS35IUEVSYhgoSyqT9geGAlcCKYWMyQAeJhQ4b4hPWZIkSZKkcqhytap07X9VWF/W9u1MevzZBFUkJY6BsqQyJQ24HbgVqF7ImBxgBPBn4Kc41SVJkiRJKr86XXIRterXC+ub9tpb/LoyPUEVSYljoCypTEgFrgUGA/WLGDcRuAOYG4+iJEmSJEnlXrVatTjtqkvD+jK3bOHDZ0YkqCIpsQyUJZV65wN/BVoWMeZrYBDwYVwqkiRJkiRVFKddfSnVaqWF9U198VW2/Lo+MQVJCWagLKnU6gg8AHQoYswy4C7gVSCIR1GSJEmSpAqj1n71OemSi8L6Nq/7lakvjU5QRVLiGShLKnUOBf4G9C5izK/AfcBjwLY41CRJkiRJqni69r+K1KpVwvo++PeLbNu6NUEVSYlnoCyp1GhA6Izk31P4P5y2AY8C9xMKlSVJkiRJioX6zZpwXO+zw/rW/bySz//zdoIqkkoHA2VJCVcDuI3QGcg1ixj3CqHjLZbFoyhJkiRJUoV25oBrSakUHp299/gzZO/YkaCKpNLBQFlSwqQAVwNDgYZFjPuIUNg8Kx5FSZIkSZIqvANbH8ZR3U4P61u5eAmzxk9KUEVS6WGgLCkhziF0TnKrIsbMBW4H3otLRZIkSZIkhXS/+fp8fROHP0WQk5OAaqTSxUBZUlwdBzwAnFzEmJ+Bu4GXAP9VLUmSJEmKp5bHH8OhJx4f1rd09ly+/fizBFUklS4GypLi4mBCL9K7qIgxGwntWn4YyIhDTZIkSZIk7a77zf3z9Y1/+IkEVCKVTgbKkmKqHnAP0B9ILWTMDuBJ4C/AmjjVJUmSJEnS7o7o0pkmR7QO6/vuk2n876vZiSlIKoUMlCXFRDXgZuCPwD5FjPsP8CdgSTyKkiRJkiSpEMkpyXS/Kf/ZyRMeeSoB1Uill4GypKhKBi4jtNv4wCLGfQoMAmbEoyhJkiRJkvbgyLO6sl/zpmF9s8ZPYuWi7xNUkVQ6GShLipozgX8ARxQxZj5wB/BuXCqSJEmSJGnPduTk0Pnq34X1Ze/I4r3HnklQRVLplZzoAiSVfe2BD4CJFB4mpwPX/XbdMFmSJEmSVJrMWZfOPg3qh/VNf/Md1v70c4IqkkovdyhLilhT4D6gXxFjNgMPAA8BW+JRlCRJkiRJJVC1Zg1mrA4PjrdtzeD9p55PUEVS6WagLKnEahN6kd5AoEohY7KAZ4ChwC9xqkuSJEmSpJI68ZIL2ZadHdb3ycjRbFq7LkEVSaWbgbKkYqsCDADuIhQqF2YM8EdgYRxqkiRJkiQpUml163DCxeeF9W1Zv4GPX3glQRVJpZ+BsqQ9SgIuIXS8RdMixk0HBgGfxaMoSZIkSZL2QuVqVTnvrj9QuVrVsP6Pnn2JzM0e2igVxkBZUpFOB/5B6MV7hVkM3Am8GZeKJEmSJEnaO03aHs4l9/2Z+s2ahPWvT/+Fz0b7X7dSUQyUJRXoCODvwFlFjFlN6IzkfwM74lGUJEmSJEl7IblSCl2vv5rTr7mM5JSUfNcnPfEcWdu2JaAyqewwUJYU5kBgGHA5kFzImK3APwntXN4Up7okSZIkSdobDQ5qRt+/DqZx68MKvP7tR58w853xca5KKnsMlCUBUIvQi/RuAaoVMiYbeBH4M7AiLlVJkiRJkrR3kpKS6NTvInrc0p/UKlXyXc/atp0uTVsy9J77CHJyElChVLYYKEsVXCpwPaGQuF4R48YTCpznxaMoSZIkSZKiYN+GDejzl7tpecIxBV5f/t0Cxt77ILd/M48gCOJcnVQ2GShLFdiFwF+Bg4sY8xUwCJgSl4okSZIkSYqOo88+k3P/dBvV0mrmu5aTnc2Hz77E+089T/Vqhf2erqSCGChLFdBJwIPAcUWM+QH4E/Aa4M9oJUmSJEllRY199+H8e27nyK6nFXh99bLlvPqnofz4zbdxrkwqHwyUpQqkFfA34JwixqwD/gI8AWyPR1GSJEmSJEXJYSd14OKhf6JW/YIPdZw2+k3G/fMxtmdkxrkyqfwwUJYqgIbAUOBqIKWQMZnAcEJHYKyPT1mSJEmSJEVF5WrVOGfQTXS4sHeB1zesWs1rf76fhdOmx7cwqRwyUJbKsZrAH35rNQoZkwOMBO4BfoxTXZIkSZIkRUuzI4+g7/1/pl6TAwu8PnvSh7z5l3+wdcPGOFcmlU8GylI5VAm4BhgCNChi3PvA7cDs2JckSZIkSVJUpVSqRNcbruG0qy4lOSX/7+Nu3biRt+57iK8nTE5AdVL5ZaAslTO9CZ2TfGgRY+YAgwgFypIkSZIklTUNWxzEJfcP5oBWhxR4fdEXXzL6nnvZ8MvqOFcmlX8GylI50QF4AOhYxJjlwN2EjrjIiUdRkiRJkiRFUVJSEif97mK633Q9qVWq5Lu+I3Mb4/71GNNGvUkQBAmoUCr/DJSlMq4lcD9wQRFjNvw2Zjihl+9JkiRJklTW1G7UkD733UOLY9sXeH35t/N59c6hrPphWZwrkyoWA2WpjKoP/Bm4DkgtZMx24HHgPmBtnOqSJEmSJCnaju3Vnd5/vJWqNfO/cj47K4sPnxnB+/9+gZys7ARUJ1UsBspSGVMd+D/gDiCtiHGjgLuAH+JRlCRJkiRJMVCj9r5c8Oc7aNulc4HXV/2wjFf/NIzl876Lb2FSBWagLJURKcAVwDBg/yLGfUzohXv/jX1JkiRJkiTFTKuTO3LxsD+RVrdOgdc/e/V1xv3rcXZkbotzZVLFZqAslQHdgb8DbYoY8x1wOzA+LhVJkiRJkhQbVapX55xBN3HCBb0KvL7hl9WMvudeFn3xZZwrkwQGylKpdjTwAHBqEWNWEDpL+UXAk6IkSZIkSWVZ83Zt6Xv/n6l74AEFXv96wmTevO8hMjZujHNlknYyUJZKkSAIWLlyJU2ys7kL6FvE2E2Edi3/C9gal+okSZIkSYqNlNRUzhzwezpf0Y/k5OR817du2Mib9z7A7Pc+SEB1knZloCyVEg2B9lu28HKLFnTeupWfgBxg93+NZgFPA0OB1XGuUZIkSZKkaGvY8mD6/XUw+x/assDrC6dNZ/Sf72fjKv8rWCoNDJSlUqAhMALoGgSwNbTf+GPgIUIv2NvpTeBPwKI41ydJkiRJUrQlJSdzymV9OWvgtVSqXDnf9e0Zmbz70KN8/tpbCahOUmEMlKUESwLOALru1t8ZeAPYDswkFCx/EdfKJEmSJEmKjToHNKLPffdw8NHtCry+7JtvGXXXMFYv/THOlUnaEwNlKYEqA48C6wu53hDoBbwXr4IkSZIkSYqx43qfTa8/3kLVGjXyXcvOyuL9p1/gw2dGkJPtq+el0shAWUqQ6sBbwKnAbYWM+RSYHLeKJEmSJEmKnZp1anPhkD/S5tSTC7z+y/+W8uqdQ/npuwVxrkxSSRgoSwmwDzAe6Pjb500InZnceZcxE4Fv4lqVJEmSJEmxcfipJ3Hh4D+SVrdOgdc/Gfka4x9+kqxt2+JcmaSSMlCW4mw/QkdY7HpK1G2EXsD3HNCmUSOmpKczJwhIT0SBkiRJkiRFSZUa1el9x/9x3LlnF3h9ffovjL7nPhZPnxnnyiRFykBZiqPGwAfAIbv1JwMBMKZGDR6YNYt7W7Zk8+bNca9PkiRJkqRoOeiYdvS99x7qHNCowOtfjXuPt+5/iMxN/vevVJYYKEtxcgjwPqHjLXZ3J/A3IC05mYYNG5KUlBTX2iRJkiRJipZKlStz5oBrOeXyviQnJ+e7vmX9Bt74yz/4ZvJHCahO0t4yUJbi4ChgEqHjLnZ3A/BkXKuRJEmSJCk2Gh3Sgn5/G0KjlgcXeH3+p5/z2p/vZ9OatXGuTFK0GChLMdaR0Av49tmtPwu4HHg17hVJkiRJkhRdScnJnHplP7rd+Hsqpabmu75tawbvPvgoX7z+dgKqkxRNBspSDHUD3gKq79afCVwIjIt7RZIkSZIkRVfdAw+g73330Lz9kQVeXzpnLqP+NIw1P/4U58okxYKBshQjFwCvAJV3698E9ASmxr0iSZIkSZKi6/jzz6HX7TdTpfruW6kge0cWk558linPjyQnOzsB1UmKBQNlKQauBp4GUnbrXwucCfw37hVJkiRJkhQ9aXXrcOGQOzm8c6cCr6d//z9e/dNQfp6/KM6VSYo1A2Upym4DHiygfwVwBvBdfMuRJEmSJCmqjjj9FC4c/Edq1N63wOtTXxrFhEeeImv79vgWJikuDJSlKPoLcHcB/UsIhck/xLccSZIkSZKipmrNGvT+460c26t7gdd/XZnOqLv+wpKZs+JcmaR4MlCWoiAJGA4MKODaPEJhcnpcK5IkSZIkKXoOPrY9fe69mzr7Nyrw+sx3JjDmb/8kc/OWOFcmKd4MlKW9VAl4HvhdAddmAN2BdXGtSJIkSZKk6KhUuTLdb76eUy7rW+D1Lb+u5/Vhf2fuBx/HtzBJCWOgLO2FKsBrQK8Crn0I9AY2x7MgSZIkSZKi5IDDDuGSvw6mYYuDCrz+3dRp/Gfw/Wxa6zYqqSIxUJYiVBN4BzitgGtjgD7AtngWJEmSJElSFCSnpHDqVZfSrf81pKTmj462bd3KO/94hBlvjk1AdZISzUBZikAdYCJwXAHXXgKuArLjWpEkSZIkSXuvbuMDueT+P9PsqCMKvP7D198w6k/DWPvTz3GuTFJpYaAslVAjYDLQpoBrjwI3A0FcK5IkSZIkae91uPBcev5hIFWqV8t3LWvHDiY9/gxTXniFICcnAdVJKi0MlKUSaA58ABR0etRfgD/HtxxJkiRJkvZaWr26XDzsT7Q66cQCr69cvIRX7xzKioWL41yZpNLIQFkqptbA+8D+BVy7DfhnfMuRJEmSJGmvte16Ghfcczs19t0n37WcnBymjhjFe4/9m6zt2xNQnaTSyEBZKoZjCZ2ZXHe3/mzgWuD5uFckSZIkSVLkqqbV5Lw/3cbRZ59Z4PV1P69k1N1/4X///TrOlUkq7QyUpT3oDIwF0nbr3w5cArwZ74IkSZIkSdoLLY8/hj733s2+DRsUeP3Lt8cx5u//YtuWrXGuTFJZYKAsFaEn8B+g6m79W4FzCb2cT5IkSZKksqBSlSr0uKU/J196cYHXN61dxxvD/s68jz6Jc2WSyhIDZakQ/YAXyf8/kvXA2cC0ONcjSZIkSVKkDmx9GJf8dTANDmpW4PV5Uz7h9SF/Y/O6X+NbmKQyx0BZKsANwOMF9K8CugJz4luOJEmSJEkRSU5J4bRrLqPrdVeRkpo/BsrcsoV3/vYwX44Zl4DqJJVFBsrSbu4E7i+g/0fgDGBRfMuRJEmSJCki9Zo25pL7B9O07eEFXl/y1deMvusvrPt5ZZwrk1SWGShLu/gHMKiA/oWEwuTl8S1HkiRJkqSIdOxzPmffOoDK1XZ/KxBkbd/Oe4/9m49HjCLIyUlAdZLKMgNlCUgGngJ+X8C1r4FuwOq4ViRJkiRJUsnV2q8+fYb9iUM7nlDg9RULF/Pqn4ayctGSOFcmqbwwUFaFlwq8DBT0jtvPCL2Ab0NcK5IkSZIkqeSO6nY6599zO9X3qZXvWk5ODh+/MJL3Hn+W7B07ElCdpPLCQFkVWjXgTeCsAq69B5wHZMS1IkmSJEmSSqZarVqcd9dttO/etcDra3/6mVF/GsYPX38T58oklUfJiS6gpE455RSCIMjXZs6cGTauXbt2TJkyhS1btpCens7w4cOpVq1avvlOP/10vvzySzIyMvjxxx8ZMmQIycn5vy19+vRh7ty5ZGRksHjxYgYMGBCzr1HxUQuYRMFh8n+AczBMliRJkiSVbod0OI5Bb40sNEye8eZYHjr/MsNkKc6aN2/O2LFj2bhxI+vWreOll16ibt26e7xv8ODBBWafDzzwQByqLp4yu0P56quv5ttvv839fPPmzbl/btKkCR999BEzZsygd+/eNGrUiAcffJBGjRpx4YUX5o475phjmDBhAq+//jp33HEHrVu35h//+Ac1atRg0KC8V7P16tWLUaNG8a9//YuBAwfSqVMnHn74YYIg4PHHH4/PF6yoqk9oB3L7Aq49C1wH+FoCSZIkSVJplVq1CmffOoBOfS8o8Pqmtev4z+C/8t3Uz+JcmaS0tDSmTJnC6tWr6du3L9WqVeNvf/sb48ePp0OHDgRBUOT927Zt45RTTgnrW7FiRSxLLpEyGyh/++23zJgxo8Brt99+OxkZGZx77rlkZIT2mG7dupXXX3+do446itmzZwMwZMgQvv32W373u98RBAFTpkyhWrVq3HfffTzwwAOsWrUKgPvuu4933nmHW2+9FYCPP/6Yhg0bMmTIEJ5++mmysrJi/wUrag4EPgAOLeDag8CgAvolSZIkSSotGh/eikv+Opj9mjct8Po3H3zMG8P+zpZf18e3MEkAXHfddTRo0IATTjiB9PR0AJYuXcrMmTPp1asXY8aMKfL+IAgKzT1LgzJ35EVx9OjRgzFjxuSGyQBvv/02mzdvpmfPngCkpqbSpUsXRo8eHfZTgZEjR1K5cmW6desGQNOmTTn88MN59dVXw54xcuRI6tWrR4cOHeLwFSlaWhJ60V5BYfJdGCZLkiRJkkqv5EopdO1/NQNH/rvAMDlz8xZG3fUXRvzfnYbJUgL16NGDKVOm5IbJAP/9739ZuHBhbjZZlpXZQPmdd94hKyuLlStX8tRTT7HvvvsCUK1aNZo1axZ2HAZAdnY2ixYtolWrVgAcfPDBVKlSJd+49PR01q1blztu58fdx+38fOd1lX5HAp8CBf38dgBwf3zLkSRJkiSp2PZr3pSBL/+bbjdcQ0ql/L9w/v3MWTx4/qX8d+yEBFQnaVetWrXKlyVCKE8sTpZYuXJl0tPT2bFjB4sXL2bQoEEkJSXFotSIlLkjLzZs2MADDzzA1KlT2bx5Mx06dODOO+/kuOOO47jjjssNltevX5/v3nXr1lGnTh0AateuvVfjNm3aRFZWVu44lW4nAuOBfXfrzwKuBEbGuyBJkiRJkoohKSmJjn0v4Oz/u5HUqlXyXc/avp0JjzzFJy+P3uO5rJLio3bt2oVmjocffniR937//ffccccdzJ49m5SUFHr37s3f/vY3mjZtyoABA2JUccmUuUB59uzZuWcgA0ydOpV58+bx7rvvcsEFF/DJJ58AFPgP0V2T/J1/3ptxxVG3bl3233//iO5VdJySmclzv/5Ktd3+DrcB19euzUfVqlFa/oZq1qwJQKNGjUhLS0twNSorXDeKhOtGkXDdKBKuG0XKtaNIlLd1k1avLj3+MJDmRx9V4PX07//HuL8/zOqlP9KoUaP4FleOlLd1o9irW7fuHsfsKXMszCuvvBL2+aRJk9iyZQu33HIL999/f6l4OV+ZC5QLMm7cODZv3swxxxzDO++8A+TtLN5V7dq1WbhwIRD6iUBR43Ze33Xcrn9haWlpVKpUKfd6YV544YUIviJFzRtvwCWXwO7/I65Rgypjx/LCaaclpq492LlOpZJw3SgSrhtFwnWjSLhuFCnXjiJRYdZN62O595yLE11FuVFh1o1i7tdff91j5lgSr732Grfddhvt27c3UI62IAjIyMhg6dKltG7dOuxaSkoKhxxyyP+3d+fhUZV3/8c/M5N9kyQoAsqWoBCQQoCA7dOWRzYLsihaQaFKbavV1l3EXaAubaQtFFr1qUuFnztiIaKihboihIRFQgATCAJCIHtCwmQ7vz8mGbJMIInJOTPJ+3Vd3yuZ+z5z8pnxCOSbO/dx30UxMzNTTqdTcXFxeu+999zHdevWTVFRUUpPT5ck98e4uLh6e5/Unr92vilz587V+vXrv/drQ8tdW1qqxIICORqM59tsmhMcrG1z5liS60zCwsK0d+9eXXzxxSopKbE6DnwE1w1ag+sGrcF1g9bgukFrce2gNTrCdRMUHqaJt9+suDE/9jif/91RrX36rzqSTvOzrXSE6wbmmjBhwhkXkaanpzfqTUqufuKXX37Z6q/rLdvadIiG8tSpUxUWFqbk5GRJrhXLV111le655x6dOnVKkjRt2jSFhYVp7dq1kqSKigp99NFHmjlzphITE93nuv7661VeXq4PP/xQknTw4EHt2rVLs2bN0ltvvVXvuJycHG3atOmM2XJzc73iJwedzZ2S/uxh/DtJEwxDaTk55gZqptpfrTl69KiKi4stTgNfwXWD1uC6QWtw3aA1uG7QWlw7aA1fv24u/tFoXbvwQZ1z3rkqr65qNL/prXe1JnGpysvKLEjXcfn6dQPz5ebmnnE+KSlJixYtUrdu3ZSdnS1Jio+P14ABA/TAAw+0+OvNmjVLVVVVSk1NbVXetuZzDeUVK1Zo//79Sk1Ndd+Ub968eUpOTtaqVaskSYmJiZo9e7ZWr16txYsXq3v37nrmmWf09ttv19t/eeHChfr888+1YsUKvfDCC4qLi9PChQu1dOlSHT9+3H3cI4884j7XmjVr9KMf/Ui//e1vdeedd6qystLstwBnsUDSox7G90saX/MRAAAAAABvERAcpCvu/p1+NHOGx/minFy9+eiTSv+s9SsbAZjn+eef1+9//3utWbNGCxYsUFBQkP74xz9q8+bN7u16Jemxxx7T448/rj59+ujgwYOSpJSUFP3rX//Snj175O/vr2nTpummm27S0qVLdfToUateUj0+11BOS0vTddddpzvvvFNBQUE6fPiwnnvuOS1cuFBVVa6f3n377be67LLL9Je//EVr1qxRSUmJXn/9dc2fP7/euZKTkzV58mQ99dRTev/995WTk6PFixdr4cKF9Y579913NWvWLD388MO67bbbdPjwYd19991avny5aa8bZ2eT9FdJt3uYS5Ormewd/9sBAAAAAODSa8ggXffEozq3Ty+P8zvWb9CqRX/SyYJCk5MBaK3i4mJddtllWrJkid544w1VVlYqKSlJd91111m3rfjmm290xx13uG+0uWfPHv3+97/X3//+dzOiN4tNkndsvtFBTJkyRWvWrHE/njp1qnubDbQfh6QXJN3gYW6LpJ9JavmW5+YLDw9XUVGRIiIi+DUbNBvXDVqD6watwXWD1uC6QWtx7aA1fOm6sfs5NOGWmzT2V7+Q3dHw7j9SWXGJVj+5WClJH1iQrnPxpesG3qGz9/98boUy0FCgpNckXelhbqOkqZLYUh8AAAAA4C269eujWU89pgvjBnic/2bzVr3+8B9UcCzb5GQAcHY0lOHTQiX9W9JYD3NrJF0r6ZSpiQAAAAAA8Mxms+l/rv+5Jt/5W/kHBjaar3A69d5f/6HP/9+bZ/21eACwCg1l+KxISeskjfYwt1LSXEncMhEAAAAA4A26nN9NMxc9rP6jR3icP7R7j157YIGy92eZGwwAWoiGMnzS+ZLWS7rEw9xySb8Xm4MDAAAAALzD8Csu15UP3qPg8LBGc9VVVfrPP1/RR8++qKpKlkUB8H40lOFz+kj6SFKsh7knJD1sahoAAAAAADwL7XKOZjwyTz+YcJnH+RMHD+nVBxfo251pJicDgNajoQyfMlCuZnJPD3P3SXrG3DgAAAAAAHg08Mc/1M8XPqiIrtEe5794fZWS/rxM5WXc+QeAb6GhDJ8xXNIHkro2GK+WdLOkf5qeCAAAAACA+gKCgzX1vtt16TXTPc4XHj+hNx59Unu/+MrcYADQRmgowyf8VNIaSRENxiskzZb0pumJAAAAAACor88PLtGsJx9V114XeJzf/sHHWvWHRJUWFpmcDADaDg1leL3Jkt6WFNRgvFTSDLlWLQMAAAAAYBWHn58m3PorXfbL2bI7HI3mS4uK9M4Ti7Vt3XoL0gFA26KhDK82S9K/JPk3GC+UdIWkz01PBAAAAADAaefH9tN1Tz6mngMv8ji/b9MWvf7IH1SYfcLkZADQPmgow2vdImm5JHuD8ROSJkraZnoiAAAAAABcbDabfjJnpibdcYv8AgIazVeccirpL8v0xWurZBiGBQkBoH3QUIZXul/S0x7GD0kaL2mvuXEAAAAAAHCL7H6+Zj7xiGJHxnuc/3bXbr324EIdP3DQ5GQA0P5oKMPrPCVpvofxfXI1k781Nw4AAAAAAG4jp03S9Pl3KygstNFcVWWlPn7+ZX38fy+rurLKgnQA0P5oKMNr2OXa4uIWD3Pb5drm4riZgQAAAAAAqBEa2UVXP3q/howb43H++IGDevXBhTq0a7e5wQDAZDSU4RX8Jb0iaaaHuS8lTZZUYGYgAAAAAABqxP30f/TzBQ8oPDrK4/znr76lpL8sV8Upp8nJAMB8NJRhuWBJb8nVNG7oQ0lXSSo1NREAAAAAAFJgSIimzbtDo2ZM9ThfkH1cbzzyhPZt2mJyMgCwDg1lWCpC0lpJP/Ew97ak6yWVm5oIAAAAAACp77AhmvXko4q+oKfH+dR16/XOE8+orKjY5GQAYC0ayrBMV0kfSBruYe5FSb+RxC0MAAAAAABmcvj76/Lf/Vpjbrxedru90XxpYZFWLfqTtn/4HwvSAYD1aCjDEj0lfSRpoIe5P0u6V5JhaiIAAAAAQGfX/aIYXffkY+pxcX+P83u/+EqvP/qkio6fMDkZAHgPGsowXaxczeQ+HuYekfQHU9MAAAAAADo7m92uMTfM0uW/+438AgIazZeXndLaxX/Tl2+8Y0E6APAuNJRhqkskrZd0voe52yX9zdw4AAAAAIBOLqpnd8184hHFDB/mcf7gzjS9+uAC5Rw8ZHIyAPBONJRhmtGS1kmKbDBeJWmupBWmJwIAAAAAdGYJ06/QtPl3Kig0tNFcVUWl1j/3ojb88xVVV3GHHwCoRUMZphgn6V1JDf+KdkqaWTMHAAAAAIAZwqIjdc1j8zX4f3/icT57f5ZefWCBDu/eY3IyAPB+NJTR7q6U9JqkwAbjJZKmS+K+uAAAAAAAswy+7Ce6+tH7FR4d5XH+05Vv6L2//kOVTqfJyQDAN9BQRru6QdILkhwNxvMl/UzSZtMTAQAAAAA6o8DQEE2ff5cSpl/hcb7gWLZef/gP+mbzVpOTAYBvoaGMdnO7pCUexo9KmiBpl7lxAAAAAACdVL8RwzTrD48oqmd3j/Nb176v1U/9WaeKS0xOBgC+h4Yy2sWjkhZ4GM+Saz/lTFPTAAAAAAA6I7+AAF3+u9/opzfMkt1ubzR/sqBQby/8o3Z+tNGCdADgm2goo03ZJP1Z0p0e5nZLGi/pOzMDAQAAAAA6pR4X99d1Tz2m7v1jPM6nf/al3nj0SRXn5JqcDAB8Gw1ltBmHpP+TNNfD3FZJl0vir2kAAAAAQHuqNgz9z5yZGvOrOfLz92807ywt09pn/qZNb622IB0A+D4aymgTAZJek3SVh7lPJE2RVGxqIgAAAABAZxPZs7vePJCmcb/9pcf5rB1f67UHFyrn28MmJwOAjoOGMr63UEnvyHWjvYaSJF0j6ZSpiQAAAAAAnUXEeecqNiFesSOHa9jl4/RdaeMb61VVVOrDv/9TG19aqeqqKgtSAkDHQUMZ30sXSeskXeph7lVJN0iqNDMQAAAAAKBDC4uOVOyIeMUkDFfsyHid17f3GY8/lrFfrz64QEfS95mUEAA6NhrKaLVukj6U9AMPc/+Q9DtJ1aYmAgAAAAB0NCHnRChmZLxiaxrI58f2a/ZzP3nlNa1b8qwqy8vbMSEAdC40lNEqvSR9LKm/h7mnJD1obhwAAAAAQAcRFB6mmOFD3SuQew64qMXnKDiWrVcfXKjM5NR2SAgAnRsNZbTYAEkfSbrAw9z9kv5kbhwAAAAAgA8LDAlR3+E/UOzI4YpNcDWQ7Q5Hi8/jLC3T4V279cupV+nycdOVk53dDmkBADSU0SLxkj6QdG6D8WpJv5X0vOmJAAAAAAC+xD8oUH2HDVFMTQP5wkED5fBreXuiwulU1vavlZGcqswtKfr2690KCQ7W8l/eJmdpaTskBwBINJTRAj+WlCQposF4haRfSHrd9EQAAAAAAG/nFxCg3j8Y7N4DudeQQfLz92/xeSorKnRw5y5lbklVxpYUHdyZxt7IAGABGspolp9JWiUpuMF4maSrJa0zPREAAAAAwBs5/PzU65I49x7IfYZeIv/AwBafp6qyUofS0pWxJVWZySk6sG2nKk452yExAKAlaCjjrK6VtEJSw58fF0m6QtJnpicCAAAAAHgLu8OhCwYNcO+B3GfoEAWGNFyOdHbVVVU6nL7XtQI5OUUHUneydQUAeCEayjijX0t6VpK9wXiOpImSuF8uAAAAAHQuNrtdPQf0V+zI4YpJiFe/+KEKCgtt1bmO7Nnn3gM5M2W7ThWXtHFaAEBbo6GMJs2T9EcP44cljZe0x9w4AAAAAAAL2Gw2nd8/xrUHckK8+g0fqpCIhnfXaZ6j32QqM9m1B3Lm1m0qLSxq47QAgPZGQxkePSnpAQ/jGZLGSTpobhwAAAAAgIm69euj2IThihkZr9iR8QqN7NKq8xw/cFAZtQ3k5FSV5OW3bVAAgOloKKMem6Tlkn7rYW6npAmSsk1NBAAAAABob117X+hagTwyXjEj4xXRNbpV58k5dNi9B3JG8jYVHT/RxkkBAFajoQw3P0kvS7rew9wmSZMl8bNkAAAAAPB9UT27u/dAjk0Yri7dzmvVefKPHlPGFtcK5IwtKSo4xhIkAOjoaChDkhQk6U1JUzzMfSTpSkknTU0EAAAAAGgrXbqdp5iaPZBjRw5XVM/urTpP4fET7j2QM7akKvfwkTZOCgDwdjSUoXBJaySN8TD3jqRZksrNDAQAAAAA+F7Co6NceyAnxKt/wgh17XVBq85TnJunzK3blLE5RRnJKTqR9W0bJwUA+Boayp1ctKT3JY30MPeypF9JqjIzEAAAAACgxUIju7hvoBebMFzd+vVp1XlKC4uUkZyqzGTXCuRjGfvbNigAwOfRUO7Eesi1nUWch7klku6SZJiaCAAAAADQHMER4YoZMUwxI+PVf9QIde8f06rzlBWXaP/Wbcqo2cbi6L4MGQbfCQIAmkZDuZOKkauZ3NfD3OOSFpiaBgAAAABwJoGhIeo3fJh7D+QeA/rLbre3+DzO0lLtT92hzJo9kI/s2afqKn4vFQDQfDSUO6HBktZL8nQLhjvlWp0MAAAAALBOQHCw+g4b4mogJ4zQBXEXy+5wtPg85WWnlLV9pzK2pCojOUWH0tJVXUkDGQDQejSUO5lRktZJimowXiXXfskvmx0IAAAAACC/wED1HXqJYmpWIPcaHCeHf8u/Za8sL1fWjl2uFcjJqTq4M01VFRXtkBgA0FnRUO5ELpP0b0lhDcadkmZJWm16IgAAAADonBz+/uo9ZJDrJnqjRqj3kEHyCwho8XmqKir17ddp7j2Qs3bsUqXT2Q6JAQBwoaHcSUyT9IakwAbjJyVNl/Sx2YEAAAAAoBOx+znUa1CcawVywnD1+cElCggOavF5qquqdChtjzKTXXsgH9i2U+VlZe2QGAAAz2godwJzJL2oxv+x8yVNlrTJ9EQAAAAA0LHZHQ71HHCRew/kvvFDFBgS0uLzVFdX68iefcrc4lqBvD91u5wnS9shMQAAzUNDuYP7naS/eRjPljRB0k5z4wAAAABAh2Sz2dTj4v7uPZD7DR+q4PCGGw42z3f7MpSxJUWZyanK3LpNZUXFbZwWAIDWo6HcgT0saZGH8YOSxknKMDcOAAAAAHQo58f2U2zCcMUmDFfMiGEKOSeiVec5lnlAmTV7IGdu3aaT+QVtGxQAgDZEQ7mDWizpbg/jeySNl3TY3DgAAAAA4PPO69tbMSPj3Q3k8OioVp3nxMFDykhOUcZm1yrk4ty8Nk4KAED7oaHcwdglPS/pJg9zKZIul5RjaiIAAAAA8E3RF/R07YE8aoRiRgzTOeed26rz5B7+zr0COSM5RYXZJ9o4KQAA5qGh3IEESPp/kq72MPeppCmSikxNBAAAAAC+I7L7+YpNiFfMyOGKTYhXZPfzW3WeguzjruZxTeV/d6yNkwIAYB0ayh1EiKR3JE30MLdOriZzmamJAAAAAMC7RZx3rmsFck0DOfqCnq06T1FOrjK3pCijZhVyzrdsMggA6LhoKHcA50h6T9KPPMy9LukXkipMTQQAAAAA3icsOlKxI+IVkzBcsSPjdV7f3q06z8n8AnfzOGNLio4fONjGSQEA8F40lH3ceZI+lDTUw9xzkm6VVG1mIAAAAADwEiHnRLhvohc7Ml7nx/Zr1XlKi4q0f+s2ZWxJVUZyio59s1+GYbRxWgAAfAMNZR/WS9JHki7yMPdHSfPNjQMAAAAAlgoKD1PM8KHuFcg9B3j6bunsTpWc1P6U7e6b6H23N0NGNUt1AACQaCj7rIvlaiZf6GFuvlwNZQAAAADoyAJDQtQ3fohiE0YoNsHVQLY7HC0+j7O0TFnbdri3sTi8e6+qq6raITEAAL6PhrIPGirXNhfnNRivlnSbpGfNDgQAAAAAJvAPClTfYUMUU3MTvQsHDZTDr+Xf1laccipr+9fKSE5RxpZUHdq1W1WVle2QGACAjoeGso/5H0lJct2Ir65KuW6+95rpiQAAAACgfVRWV6tP/A/UY/BAxY6MV68hg+Tn79/y81RU6ODOXcrc4lqBfHBnmirLy9shMQAAHR8NZR8yUdI7kkIajJ+SdI1cjWYAAAAA8BVBYaEK7xqt8K7RioiOcn8e3jVK5/W6UMvTk3XjssQWn7eqolKH0tJr9kBOVdb2nao45WyHVwAAQOdDQ9lHXCNppaSABuPFkqZI+sT0RAAAAADQmF9AgMKjoxTeNarJZnF4dLQiukbLPyjwjOeqMoxmfc3qqiodTt+rzC2p+mZLig6k7lB5WVlbvBwAANAADWUf8CtJz0myNxjPlXS5pK2mJwIAAADQmdjsdoVFdjndIK5tFkdHuxvHEV2jFR4dpeCI8HbPU11draN7M9x7IO9P3a5TxSXt/nUBAAANZa93j6RnPIwfkTRB0m5z4wAAAADoQIIjwl2rieusIPbULA6L7CK7w2Fp1qPfZCozOVXfbE5R5tZtKisqsjQPAACdFQ1lL/YHSQ95GM+UNE5SlqlpAAAAAPgCv8DARk3hiAbbTdSO+QU03FTPeqVFRSrOyVNZQaGmjhuvR269Xbs++1IleflWRwMAAKKh7JVskv4m6TYPc1/LtTL5mKmJAAAAAFjJ7nAoLCqy/t7EDZvFNauMg8PDrI7bSMUpp4pyclWcm6vinDwV5+SqOCdXRbmnPy/OyVNxbp4qy8slSeHh4VpaVKSrNnyqkuJii18BAACoRUPZy/hJelHSHA9zX0maJImfywMAAAAdQ3BExOnVxDUriCOi66wmrmkUh0Z2kd3e8K4q1qquqlJxbp6rEZyXd7op7KFZfKrkpNVxAQBAG6Gh7EUCJb0haZqHuf/UjPPPMAAAAMC7BQQHKSy6tjF85maxn7+/1XEbKS0scq0mzsmtaRjXNIhrm8U1q4xPFhTKqK62Oi4AADAZDWUvESbp35Iu8zD3rqSZkpxmBgIAAADgZvdzKCwqyrWauE5TuOF2E+FdoxQUGmp13EbKy065G8Fnbhbnqaqiwuq4AADAi9FQ9gJRkt6XlOBh7hVJv5RUZWoiAAAAoOOz2WwKOSfCtZq43g3rGjeLw6IirY7bSFVlpUpy81WUm1t/u4ncOg3imnFnaanVcQEAQAdBQ9li3SV9JGmQh7m/SbpDkmFqIgAAAMC3BQQHK7xr9Nn3Jo6KksPf+74lOllQWOcmdbk1K4obN4tLCwplGHy3AAAAzOV9/3rqRPpK+lhSPw9zCyU9Zm4cAAAAwGs5/PwUFh3pXkFcr1kcXWc1cdcoBYaEWB23EWdpWZ3tJepvN1Gcm3/687x8tpwAAABejYayRQZJWi+ph4e5uyX9xdw4AAAAgOlsNptCupxzukHccLuJOje1C+1yjtVxG6mqqFRxXl697SaKcuusJq6zN3F5WZnVcQEAANoEDWULjJRrz+ToBuNVkn4t6SXTEwEAAADNZ7PZ5BcYIP/AQPkHBbo/+gXUeVwzFh4RodTco7rs5hsVGB7ubhBHREcrLDpSDj/v+5akJC//9Ari3Lwmm8WlhUVsOQEAADod7/vXWwc3RtIaSeENxsslXSdpldmBAAAA4NNsNpu7iduoyRsYKL86zV33x4AA+QUFNjrWv8Hz/WqObdgk9gsIaFHG/x49qJ/ccF07vQPNc+rkyTr7EOed3nqiwd7EJXl5qq7kltgAAABNoaFsoimS3pQU1GC8VNKVcm2BAQAAAN9Vt7nrbvA2aMY21eT189C4rdvk9Wui8dvS5m5HUllRoZLcvAaNYU/N4jy2nAAAAGgjNJRNcr2kl9X4DS+QNFnSlybnAQAA6Ohsdvvpxmu9hmzjrRo8Nnk9rfhtuBK4QeO3Mzd321Jxbl6dm9Y1vTdxWVGR1VEBAAA6HRrKzdS3b18tWbJEY8aMUWVlpZKSknTXXXcpNzf3rM+9VdJyD+PHJU2QtKONswIAAHgbV3P3TNstnKXJ66mZe5bGr5+/v9UvG3U4T55U0YmGjeG6zWLX45L8fLacAAAAPu/79BLHjh2rp556SpdccolOnDihF198UQsXLlR1dbUJyc+OhnIzhIeHa+PGjTpx4oRmzZql4OBgPf3003rvvfd06aWXnvFGHNfk52uOh/FvJY2T9E17hQYAAD7J7nDIZrfL4ef6aHc4ZK/5aHN/XjPuqD2m9jiHbA677HZHnWPsstlrnufn+ug+j5/rOa6x0+esfexwOFzPddhlt9sVFBKiz459q8vvuEVG3QZxEyt26zZ5ae56n/KyU6pwOlXhdKrSWe76/JTT/bGyvPZxgzlnnWNqx8vL6z237nkD/f313aHDiurSRcXFxVa/bAAAgHb3fXqJI0aM0Lp16/TWW2/p/vvvV1xcnP70pz8pNDRU9913n4mvomk0lJvh5ptvVrdu3TR69GgdO3ZMkpSVlaXk5GRNmzZN7777bpPPnZOX12hsr6Txkg61T1wAACzXqNHpqNu09HM3RW12R53GaW0jtG2borXnrG2K2hx1HzvqNE7rNG89NHPdGRo1b09ncD/2lKE2d935Ohlqj/d2yTnfafS1V1kdo8Op29x1NXMbN2grnR6au6ecqihv0Nx1N33L6z+uc97K8nLTXlt4eLj8fODaBgAAaCvfp5f4+OOPKy0tTXPmzJFhGNq4caOCg4P1xBNPKDExUcePHzfpVTSNhnIzTJ48WRs3bnRfAJK0detW7d27V1OmTDnjRdDQNkkTJZ1o85QAvInNZqv9pP5jSaqdUv1jPD+vwXidE9SOBYaEyFlVqaCwUFXaXPN2u02y2VzH2Gq+ls0mm90uW93HNptstce6x1RzXJ2vU+e5Us3zap8r2+ljap9b51zu59a8oDM91/XRXnNM/ePV4GP98Saeqzqvz2arN1bvubKdfs0170+998Z2OmvdsXqvyW6v/17XHFv3seq9P6rzXtjrv9ceX7fcr6/ec5t4b05/Xve9sLuf6+fnr1VZ6frF0j+q2jDqNUE7Q1MUaEp1dfXp1br1mrkeVuk20fh1N38bHFvRxHnNbO4CAACg/bW2l+jv769x48bp0UcfrbeKeeXKlUpMTNTEiRO1YsWK9o5/VjSUm2HgwIEe/2OlpaVp4MCBZ3zui5JulGSXlBHTV//63a91ZUhIo+PqN4vqTTR5bnczqvFEE6dq2ddo8vgzfY0mJtrsa58xUvt+jTO/H018jRa+Hw6HQysyduqWf/3j9L44nhqSDc/T4JjmHFt/zFMu21mPafT1677ehsc3I1v9pmsTX19nP6b+uRqfu8nXVPcYneG9qfncm5pmy9O3av761VbHgI85WFKofiOGWR0DaFJ1dfXppm3DVbl1m7xnavzWW93bsPHb+NiqigqrXzYAAAB8XGt7iTExMQoMDFRaWlq98WPHjikvL++sfUiz0FBuhsjISBUUFDQaz8vL06BBg+qNhTRoFo+MidHLkiYNj1f6Q/fqf4MC2y8oOowfxQ+3OgIAAKquqla1YUjV1TIMQ0a1oZCQEBXm56myvEKVFRWqqqnKikpVVVTWfF4zXntMpWuusrxmvLL2mMo6x5wec8+1srnrX1OnOaSAEFeFt8Ebgxap/ffxpEmTVFpaanEa+BKuHbQG1w1ag+sGLZWQkFDvccN+YEt6iQ2fJ6nJ50ZFRbU8bDugodxMnjbL9rTScvDgwfUeX7JmjS6p+XxKewQDAAAwWy+rA8AXvf7661ZHgI/i2kFrcN2gNbhu0FqDBw/WG2+8UW+sub1ET/Otea6ZvOf3tb1Yfn6++ycEdUVGRirPw033AAAAAAAAAHROre0l1s55ex+ShnIzpKenKy4urtF4XFyc0tPTLUgEAAAAAAAAwBu1tpeYmZkpp9PZ6LndunVTVFSU1/Qh2fKiGZKSkrRo0SJ169ZN2dnZkqT4+HgNGDBADzzwQL1jn3vuuXqPd+3axf47AAAAAAAAQAcREhJSb9vbhv3AlvQS66qoqNBHH32kmTNnKjEx0T1+/fXXq7y8XB9++GEbv5LWM6gzV3h4uJGVlWVs3rzZmDRpknHVVVcZ33zzjfHVV18ZNpvN8nwURVEURVEURVEURVEURXlHNbeX+NhjjxmGYRi9e/d2j40cOdJwOp3GihUrjDFjxhi33nqrUVJSYiQmJlr+uuqU5QF8ovr162esXbvWKC4uNvLz840VK1YYXbt2tTwXRVEURVEURVEURVEURVHeVc3pJXpqKEsyxo0bZyQnJxtlZWXGoUOHjAULFhgOh8Py11SnLA/QYapnz57G0qVLja+++sooKyszDNctGSnqjDVjxgzjnXfeMQ4ePGicPHnSSEtLM+677z7D39/f8myU99aECROMjRs3GtnZ2capU6eMrKws4/nnnzd69OhheTbKd8rhcBg7duwwDMMwrr32WsvzUN5bP/3pTw1PkpOTLc9GeX/NmjXLSE5ONkpLS42cnBxj/fr1RnR0tOW5KO+sjRs3evzzxjAM4/7777c8H+W9NXXqVGPTpk1GYWGhcfz4ceO9994zhg0bZnkuyrtr7NixxqZNm4yysjIjOzvbePbZZ42IiAjLc1HeU83t9Q0bNszYuHGjcfLkSePYsWPG0qVLjeDgYMvzt1dxU742FBsbq2uuuUbHjx/X5s2brY4DH3HvvffK6XRq3rx5mjRpklauXKkFCxbohRdesDoavFhUVJQ2b96sW265RRMmTNCiRYs0ceJEffrppwoKCrI6HnzEHXfcoXPPPdfqGPAhN910k0aPHu2uG2+80epI8HLz5s3Tyy+/rPXr12vSpEm64YYbtGPHDgUGBlodDV7q1ltvrffnzOjRo7V8+XJJ0rp16yxOB281fvx4rV69WpmZmbr66qv161//WtHR0dqwYYMuvPBCq+PBS/3kJz/RBx98oEOHDmn69Ol6+OGHdfXVV2vNmjVWR4MXaU6vr1evXtqwYYOcTqemT5+uefPmaebMmXrllVdMTmsuy7vaHaXq7oFy//33s0KZalZ52jrloYceMgzDMLp162Z5Psp3avz48YZhGMaECRMsz0J5f/Xo0cMoLCw05syZwwpl6qxVu0J51KhRlmehfKf69+9vlJeXG7fccovlWSjfrs2bNxs7duywPAflvfXiiy8a+/fvr/c9eY8ePQzDMIybb77Z8nyUd9bHH3/c6M+WGTNmGIZhGFOmTLE8H+Ud1Zxe37Jly4zvvvuu3orkq6++2jAMwxg6dKjlr6E9ihXKbch1TQEtk5OT02gsJSVFktS9e3ez48CH5ebmSpIqKystTgJfsGTJEq1Zs0affvqp1VEAdFBz586V0+nkt67wvcTGxiohIUErV660Ogq8mL+/v4qLi+t9T15YWKjq6mrZbDYLk8GbjRo1Sh9++GG9sffff1+SNHXqVCsiwQs1p9c3efJkvfvuuyorK3OPrV69WiUlJZoyZUp7xrMMDWXAC/34xz+W0+lUZmam1VHg5ex2uwICAjRw4EAlJiYqJSVFn3zyidWx4OUmTpyoCRMm6L777rM6CnzMv//9b1VWVuro0aN69tln1aVLF6sjwYtdeuml2rNnj2688UYdPHhQFRUVSk1N1YQJE6yOBh8ye/ZsVVVV6dVXX7U6CrzYCy+8oIEDB+rOO+9Uly5d1KNHDy1btkzHjh3Tm2++aXU8eKmqqiqVl5fXG6usrFR1dbUGDRpkUSr4muDgYPXp00dpaWn1xquqqrRv3z4NHDjQomTti4Yy4GUGDBigO+64Q88//7yKi4utjgMvl5aWJqfTqd27dysiIkKTJ09WVVWV1bHgxQIDA7Vs2TItWLBAx44dszoOfERhYaESExN10003aezYsVqyZIlmzZqlDRs2yM/Pz+p48FLnn3++Lr74Yj3++ON66KGHNHnyZGVnZ2vt2rW66KKLrI4HH3Hdddfpk08+0ZEjR6yOAi/23//+VzNmzNCCBQuUn5+vI0eOaMyYMRo7dqzy8vKsjgcvtW/fPo0aNareWEJCgux2u6KioixKBV9Tu8CioKCg0VxeXl6HvpYs33ejIxZ7KFOtqaioKGPv3r3Gjh07jJCQEMvzUN5fcXFxxqhRo4xf/OIXRnp6urFr1y7uSkydsRYsWGCkpaUZfn5+hiSjd+/e7KFMtaquuOIKwzAMY+bMmZZnobyz9u3bZxiGYfzsZz9zjwUFBRlHjx41nn/+ecvzUd5fo0aNMgzDMObOnWt5Fsq764c//KGRn59vLF++3LjsssuMK664wvjPf/5jZGVlGT179rQ8H+WdNXv2bMMwDOO+++4zoqOjjaFDhxo7d+40KioqjN27d1uej/K+8tTrq92v/brrrmt0/Mcff2x88MEHluduj2KFMuAlQkNDtW7dOgUEBOjyyy9XaWmp1ZHgA3bv3q3NmzfrlVde0bhx43TxxRfrN7/5jdWx4KV69eqlefPm6ZFHHlFoaKjOOeccRURESJJCQkLcnwPNkZSUpJKSEo0YMcLqKPBStasCN27c6B47deqUvvrqK8XFxVkVCz5k9uzZKisr09tvv211FHi5JUuW6PPPP9dtt92mDRs2KCkpSVdccYWCg4N17733Wh0PXmrlypV6+umntWjRIuXk5Cg5OVkbNmzQ9u3bdfToUavjwUfk5+dLkiIjIxvNRUZGdtjfkqChDHiBgIAArV69Wv369dPEiRP5ywutcuTIER07dkwxMTFWR4GX6tu3r4KCgrRq1SoVFBSooKBAO3fulCS9+OKLys7OtjghfBE3JUZT0tLSVF1d3WjcZrMpKCjIgkTwJQ6HQz//+c+1du1atoHDWcXFxSk1NbXeWFlZmfbu3av+/ftblAq+4IEHHlDXrl01ZMgQdevWTffcc4/69++vL774wupo8BFlZWXKyspq9MNyh8Ohiy66SOnp6RYla180lAGL2e12vfbaaxo9erQmTZqkffv2WR0JPqpfv37q0aMHN3NEk7Zv364xY8bUq5kzZ0qSFi5cyI2y0CJTp05VWFiYkpOTrY4CL5WUlCS73a6xY8e6x4KDg3XppZcqJSXFwmTwBRMnTtR5552nlStXWh0FPiArK6vRb8yEhoZq4MCBOnDggEWp4CtKSkr09ddfKy8vT3PnzlVQUJBeeuklq2PBhyQlJWn69On1fmA+bdo0hYWFae3atRYmaz/cRaWNzZgxQ5I0ePDgeo93797dYX8qge9n+fLluuqqq/Twww/L4XDUuylAZmamcnJyLEwHb/XOO+8oJSVFO3fuVElJieLi4nTvvffq8OHDeuGFF6yOBy9VWFioTz75pN5Y7969Jbn+nvrss8+siAUfsGLFCu3fv1+pqakqKSnRpZdeqnnz5ik5OVmrVq2yOh681LvvvqvNmzfrn//8p+bPn6/jx4/rrrvuUmhoqBYvXmx1PHi52bNnKycnR++//77VUeADli1bpr///e967rnn9Pbbbys0NFR33323wsPD9dxzz1kdD14qPj5e48eP17Zt2+Tn56dx48bp9ttv11133cUPIlDP2Xp9iYmJmj17tlavXq3Fixere/fueuaZZ/T2229r+/btVsVud5Zv5NyRqimPPfaY5dko76wDBw40ed3ccMMNluejvLPmzZtnpKSkGAUFBUZJSYmxe/du45lnnjHOPfdcy7NRvlXclI9qTs2fP9/YuXOnUVhYaDidTiMzM9NITEw0wsPDLc9GeXdFR0cbL730kpGbm2uUlpYaGzduNEaOHGl5Lsq7KzQ01CgpKTGWLVtmeRbKd2ru3LlGSkqKUVhYaGRnZxvr1683fvjDH1qei/LeGjx4sPHFF18YhYWFxsmTJ41NmzYZV155peW5KO+r5vT6hg0bZvz3v/81SktLjePHjxtLly41QkJCLM/eXmWr+QQAAAAAAAAAgDNiD2UAAAAAAAAAQLPQUAYAAAAAAAAANAsNZQAAAAAAAABAs9BQBgAAAAAAAAA0Cw1lAAAAAAAAAECz0FAGAAAAAAAAADQLDWUAAAAAAAAAQLPQUAYAAAAAAAAANAsNZQAAAAAAAABAs/x/8PPudAsgyjkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "fig = plt.figure()\n",
    "a1 = fig.add_axes([0,0,2,1])\n",
    "x = np.arange(1,11)\n",
    "a1.plot(x,np.exp(x))\n",
    "a1.set_ylabel('exp')\n",
    "a2 = a1.twinx()\n",
    "a2.plot(x, np.log(x),'ro-')\n",
    "a2.set_ylabel('log')\n",
    "fig.legend(labels = ('exp','log'),loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "![Visual vocabulary](./img/poster.png)\n",
    "\n",
    "https://github.com/ft-interactive/chart-doctor/tree/master/visual-vocabulary\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas a matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "ts = pd.Series(np.random.randn(1000), index=pd.date_range('1/1/2000', periods=1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2000-01-01    0.116853\n",
       "2000-01-02   -0.625023\n",
       "2000-01-03   -1.646178\n",
       "2000-01-04   -1.547607\n",
       "2000-01-05   -0.326176\n",
       "                ...   \n",
       "2002-09-22    1.206074\n",
       "2002-09-23   -0.886322\n",
       "2002-09-24   -1.090966\n",
       "2002-09-25    0.498979\n",
       "2002-09-26   -1.560609\n",
       "Freq: D, Length: 1000, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2000-01-01     0.116853\n",
       "2000-01-02    -0.508171\n",
       "2000-01-03    -2.154349\n",
       "2000-01-04    -3.701956\n",
       "2000-01-05    -4.028132\n",
       "                ...    \n",
       "2002-09-22   -20.232138\n",
       "2002-09-23   -21.118460\n",
       "2002-09-24   -22.209426\n",
       "2002-09-25   -21.710446\n",
       "2002-09-26   -23.271055\n",
       "Freq: D, Length: 1000, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts.cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(np.random.randn(1000, 4), index=ts.index, columns=list('ABCD'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>-0.301136</td>\n",
       "      <td>0.565576</td>\n",
       "      <td>1.027177</td>\n",
       "      <td>0.684124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-02</th>\n",
       "      <td>0.187598</td>\n",
       "      <td>0.262269</td>\n",
       "      <td>1.264792</td>\n",
       "      <td>-0.447267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-03</th>\n",
       "      <td>3.023617</td>\n",
       "      <td>0.885440</td>\n",
       "      <td>-0.160083</td>\n",
       "      <td>-0.544033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-04</th>\n",
       "      <td>3.112608</td>\n",
       "      <td>0.071123</td>\n",
       "      <td>-2.088532</td>\n",
       "      <td>-0.932731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-05</th>\n",
       "      <td>2.731133</td>\n",
       "      <td>-0.816160</td>\n",
       "      <td>-2.751853</td>\n",
       "      <td>-2.755137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-09-22</th>\n",
       "      <td>-27.423783</td>\n",
       "      <td>-6.228897</td>\n",
       "      <td>28.142751</td>\n",
       "      <td>9.285840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-09-23</th>\n",
       "      <td>-27.650005</td>\n",
       "      <td>-6.959947</td>\n",
       "      <td>27.573074</td>\n",
       "      <td>9.314426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-09-24</th>\n",
       "      <td>-27.865321</td>\n",
       "      <td>-6.582772</td>\n",
       "      <td>28.534266</td>\n",
       "      <td>8.265420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-09-25</th>\n",
       "      <td>-28.582653</td>\n",
       "      <td>-6.033318</td>\n",
       "      <td>28.805382</td>\n",
       "      <td>7.904147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002-09-26</th>\n",
       "      <td>-27.875366</td>\n",
       "      <td>-5.657815</td>\n",
       "      <td>28.411125</td>\n",
       "      <td>8.750336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    A         B          C         D\n",
       "2000-01-01  -0.301136  0.565576   1.027177  0.684124\n",
       "2000-01-02   0.187598  0.262269   1.264792 -0.447267\n",
       "2000-01-03   3.023617  0.885440  -0.160083 -0.544033\n",
       "2000-01-04   3.112608  0.071123  -2.088532 -0.932731\n",
       "2000-01-05   2.731133 -0.816160  -2.751853 -2.755137\n",
       "...               ...       ...        ...       ...\n",
       "2002-09-22 -27.423783 -6.228897  28.142751  9.285840\n",
       "2002-09-23 -27.650005 -6.959947  27.573074  9.314426\n",
       "2002-09-24 -27.865321 -6.582772  28.534266  8.265420\n",
       "2002-09-25 -28.582653 -6.033318  28.805382  7.904147\n",
       "2002-09-26 -27.875366 -5.657815  28.411125  8.750336\n",
       "\n",
       "[1000 rows x 4 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>col1</th>\n",
       "      <th>col2</th>\n",
       "      <th>col3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-07-01</th>\n",
       "      <td>0.058943</td>\n",
       "      <td>0.138613</td>\n",
       "      <td>0.169066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-02</th>\n",
       "      <td>0.586553</td>\n",
       "      <td>0.280985</td>\n",
       "      <td>0.708620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-03</th>\n",
       "      <td>0.973107</td>\n",
       "      <td>0.257597</td>\n",
       "      <td>0.810730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-04</th>\n",
       "      <td>0.830562</td>\n",
       "      <td>0.094584</td>\n",
       "      <td>0.009710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-05</th>\n",
       "      <td>0.534819</td>\n",
       "      <td>0.246271</td>\n",
       "      <td>0.030786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-06</th>\n",
       "      <td>0.827335</td>\n",
       "      <td>0.147097</td>\n",
       "      <td>0.644220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-07</th>\n",
       "      <td>0.381865</td>\n",
       "      <td>0.966147</td>\n",
       "      <td>0.840246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-08</th>\n",
       "      <td>0.828539</td>\n",
       "      <td>0.893999</td>\n",
       "      <td>0.841831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-09</th>\n",
       "      <td>0.773014</td>\n",
       "      <td>0.071115</td>\n",
       "      <td>0.645806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-07-10</th>\n",
       "      <td>0.063987</td>\n",
       "      <td>0.216988</td>\n",
       "      <td>0.176262</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                col1      col2      col3\n",
       "2015-07-01  0.058943  0.138613  0.169066\n",
       "2015-07-02  0.586553  0.280985  0.708620\n",
       "2015-07-03  0.973107  0.257597  0.810730\n",
       "2015-07-04  0.830562  0.094584  0.009710\n",
       "2015-07-05  0.534819  0.246271  0.030786\n",
       "2015-07-06  0.827335  0.147097  0.644220\n",
       "2015-07-07  0.381865  0.966147  0.840246\n",
       "2015-07-08  0.828539  0.893999  0.841831\n",
       "2015-07-09  0.773014  0.071115  0.645806\n",
       "2015-07-10  0.063987  0.216988  0.176262"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "drange = pd.date_range(start='2015-07-01', end='2015-07-10', freq='D')\n",
    "df = pd.DataFrame(data=np.random.random_sample((10, 3)), index=drange, columns=['col1', 'col2', 'col3'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "df[['col1', 'col2']].plot(kind='bar', ax=ax, stacked=True)\n",
    "\n",
    "ax.grid(True)\n",
    "\n",
    "x = ax.legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Facetting\n",
    "\n",
    "Facetting - rozdzielenie wykresu na kilka wykresów o tych samych osiach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0, 5)\n",
    "fig = plt.figure()\n",
    "\n",
    "fig.add_subplot(221)   # top left\n",
    "plt.plot(np.cos(x))\n",
    "fig.add_subplot(222)   # top right\n",
    "plt.plot(np.sin(x))\n",
    "fig.add_subplot(223)   # bottom left\n",
    "plt.plot(np.tan(x))\n",
    "fig.add_subplot(224)   # bottom right \n",
    "plt.plot(x)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://www.kdnuggets.com/2019/04/data-visualization-python-matplotlib-seaborn.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: '.\\\\data\\\\day.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-28-ebc52c94bf54>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mday\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'.\\data\\day.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\util\\_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    309\u001b[0m                     \u001b[0mstacklevel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mstacklevel\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    310\u001b[0m                 )\n\u001b[1;32m--> 311\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    312\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    313\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[0;32m    584\u001b[0m     \u001b[0mkwds\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    585\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 586\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    587\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    588\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\readers.py\u001b[0m in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m    480\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    481\u001b[0m     \u001b[1;31m# Create the parser.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 482\u001b[1;33m     \u001b[0mparser\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    483\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    484\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\readers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m    809\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    810\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 811\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    812\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    813\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\readers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[1;34m(self, engine)\u001b[0m\n\u001b[0;32m   1038\u001b[0m             )\n\u001b[0;32m   1039\u001b[0m         \u001b[1;31m# error: Too many arguments for \"ParserBase\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1040\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mmapping\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# type: ignore[call-arg]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1041\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1042\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_failover_to_python\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\c_parser_wrapper.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, src, **kwds)\u001b[0m\n\u001b[0;32m     49\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     50\u001b[0m         \u001b[1;31m# open handles\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 51\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_open_handles\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     52\u001b[0m         \u001b[1;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhandles\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     53\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\parsers\\base_parser.py\u001b[0m in \u001b[0;36m_open_handles\u001b[1;34m(self, src, kwds)\u001b[0m\n\u001b[0;32m    220\u001b[0m         \u001b[0mLet\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mreaders\u001b[0m \u001b[0mopen\u001b[0m \u001b[0mIOHandles\u001b[0m \u001b[0mafter\u001b[0m \u001b[0mthey\u001b[0m \u001b[0mare\u001b[0m \u001b[0mdone\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mtheir\u001b[0m \u001b[0mpotential\u001b[0m \u001b[0mraises\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    221\u001b[0m         \"\"\"\n\u001b[1;32m--> 222\u001b[1;33m         self.handles = get_handle(\n\u001b[0m\u001b[0;32m    223\u001b[0m             \u001b[0msrc\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    224\u001b[0m             \u001b[1;34m\"r\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\lib\\site-packages\\pandas\\io\\common.py\u001b[0m in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[0;32m    699\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mioargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencoding\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;34m\"b\"\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mioargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    700\u001b[0m             \u001b[1;31m# Encoding\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 701\u001b[1;33m             handle = open(\n\u001b[0m\u001b[0;32m    702\u001b[0m                 \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    703\u001b[0m                 \u001b[0mioargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmode\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '.\\\\data\\\\day.csv'"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "day = pd.read_csv('.\\data\\day.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.scatter('temp', 'cnt', data=day)\n",
    "plt.xlabel('Znormalizowana Temperatura', fontsize='large')\n",
    "plt.ylabel('Ilość wypożyczeń rowerów', fontsize='large');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.scatter('temp', 'cnt', data=day, c='season')\n",
    "plt.xlabel('Znormalizowana Temperatura', fontsize='large')\n",
    "plt.ylabel('Ilość wypożyczeń rowerów', fontsize='large');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 10]\n",
    "\n",
    "fontdict={'fontsize': 18,\n",
    "          'weight' : 'bold',\n",
    "         'horizontalalignment': 'center'}\n",
    "\n",
    "fontdictx={'fontsize': 18,\n",
    "          'weight' : 'bold',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "fontdicty={'fontsize': 16,\n",
    "          'weight' : 'bold',\n",
    "          'verticalalignment': 'baseline',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "spring = plt.scatter('temp', 'cnt', data=day[day['season']==1], marker='o', color='blue')\n",
    "summer = plt.scatter('temp', 'cnt', data=day[day['season']==2], marker='o', color='green')\n",
    "autumn = plt.scatter('temp', 'cnt', data=day[day['season']==3], marker='o', color='orange')\n",
    "winter = plt.scatter('temp', 'cnt', data=day[day['season']==4], marker='o', color='brown')\n",
    "\n",
    "plt.legend(handles=(spring,summer,autumn,winter),\n",
    "           labels=( 'Zima', 'Wiosna', 'Lato', 'Jesień'),\n",
    "           title=\"Pora roku\", title_fontsize=16,\n",
    "           scatterpoints=1,\n",
    "           bbox_to_anchor=(1, 0.7), loc=2, borderaxespad=1.,\n",
    "           ncol=1,\n",
    "           fontsize=14)\n",
    "\n",
    "plt.title('Ilość wypożyczeń rowerów względem temperatury', fontdict=fontdict, color=\"white\")\n",
    "plt.xlabel(\"Znormalizowana temperatura\", fontdict=fontdictx)\n",
    "plt.ylabel(\"Ilość Wypozyczeń\", fontdict=fontdicty);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ten wykres ma chyba następujące problemy\n",
    "- dane się nakładają na siebie\n",
    "- jest nieczytelny\n",
    "- nie widać dobrze różnic między porami roku\n",
    "- nie widać trendów\n",
    "- wydaje się, że temperatura jest pozytywnie skorelowana z z ilością wypożyczeń"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure()\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [15,10]\n",
    "plt.rcParams[\"font.weight\"] = \"bold\"\n",
    "\n",
    "fontdict={'fontsize': 25,\n",
    "          'weight' : 'bold'}\n",
    "\n",
    "fontdicty={'fontsize': 18,\n",
    "          'weight' : 'bold',\n",
    "          'verticalalignment': 'baseline',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "fontdictx={'fontsize': 18,\n",
    "          'weight' : 'bold',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "plt.subplots_adjust(wspace=0.2, hspace=0.2)\n",
    "\n",
    "fig.suptitle('Ilość wypożyczeń rowerów względem temperatury\\nz rozbiciem na pory roku', fontsize=25,fontweight=\"bold\", color=\"white\", \n",
    "             position=(0.5,1.01))\n",
    "\n",
    "ax1 = fig.add_subplot(221)\n",
    "ax1.scatter('temp', 'cnt', data=day[day['season']==1], c=\"blue\")\n",
    "ax1.set_title('Zima', fontdict=fontdict, color=\"blue\")\n",
    "ax1.set_ylabel(\"Ilość wypożyczeń\", fontdict=fontdicty, position=(0,-0.1))\n",
    "\n",
    "\n",
    "ax2 = fig.add_subplot(222)\n",
    "ax2.scatter('temp', 'cnt', data=day[day['season']==2], c=\"green\")\n",
    "ax2.set_title(\"Wiosna\", fontdict=fontdict, color=\"green\")\n",
    "\n",
    "\n",
    "\n",
    "ax3 = fig.add_subplot(223)\n",
    "ax3.scatter('temp', 'cnt', data=day[day['season']==3], c=\"orange\")\n",
    "ax3.set_title('Lato', fontdict=fontdict, color=\"orange\")\n",
    "\n",
    "\n",
    "ax4 = fig.add_subplot(224)\n",
    "ax4.scatter('temp', 'cnt', data=day[day['season']==4], c=\"brown\")\n",
    "ax4.set_title('Jesień', fontdict=fontdict, color=\"brown\")\n",
    "ax4.set_xlabel(\"Znormalizowana temperatura\", fontdict=fontdictx, position=(-0.1,0));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tym razem\n",
    "- Zimą jest pozytywna korelacja\n",
    "- Ale na wiosnę i jesień jest lekka korelacja kwadratowa (?)\n",
    "- W lecie ma widać jakichś trendów\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure()\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [12,12]\n",
    "plt.rcParams[\"font.weight\"] = \"bold\"\n",
    "\n",
    "plt.subplots_adjust(hspace=0.60)\n",
    "\n",
    "\n",
    "fontdicty={'fontsize': 20,\n",
    "          'weight' : 'bold',\n",
    "          'verticalalignment': 'baseline',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "fontdictx={'fontsize': 20,\n",
    "          'weight' : 'bold',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "fig.suptitle('Ilość wypożyczeń rowerów względem temperatury\\nz rozbiciem na pory roku', fontsize=25,fontweight=\"bold\", color=\"white\", \n",
    "             position=(0.5,1.0))\n",
    "\n",
    "#ax2 is defined first because the other plots are sharing its x-axis\n",
    "ax2 = fig.add_subplot(412, sharex=ax2)\n",
    "ax2.scatter('temp', 'cnt', data=day.loc[day['season']==2], c=\"green\")\n",
    "ax2.set_title('Wiosna', fontdict=fontdict, color=\"green\")\n",
    "ax2.set_ylabel(\"Ilość wypożyczeń\", fontdict=fontdicty, position=(-0.3,-0.2))\n",
    "\n",
    "\n",
    "ax1 = fig.add_subplot(411, sharex=ax2)\n",
    "ax1.scatter('temp', 'cnt', data=day.loc[day['season']==1], c=\"blue\")\n",
    "ax1.set_title('Zima', fontdict=fontdict, color=\"blue\")\n",
    "\n",
    "\n",
    "ax3 = fig.add_subplot(413, sharex=ax2)\n",
    "ax3.scatter('temp', 'cnt', data=day.loc[day['season']==3], c=\"orange\")\n",
    "ax3.set_title('Lato', fontdict=fontdict, color=\"orange\")\n",
    "\n",
    "\n",
    "ax4 = fig.add_subplot(414, sharex=ax2)\n",
    "ax4.scatter('temp', 'cnt', data=day.loc[day['season']==4], c=\"brown\")\n",
    "ax4.set_title('Jesień', fontdict=fontdict, color=\"brown\")\n",
    "ax4.set_xlabel(\"Znormalizowana temperatura\", fontdict=fontdictx);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Zima ma najniższe temperatury!\n",
    "- Lato ma najwyższe temperatury\n",
    "- Wiosną i latem relacja jest kwadratowa (parabola)\n",
    "- W niższych temperaturach - zawsze jest mniej pożyczanych rowerów\n",
    "- Zimą jest wyraźna pozytywna korelacja \n",
    "- Latem mamy lekko negatywną korelację"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = plt.figure()\n",
    "\n",
    "plt.rcParams['figure.figsize'] = [10,10]\n",
    "plt.rcParams[\"font.weight\"] = \"bold\"\n",
    "\n",
    "plt.subplots_adjust(wspace=0.5)\n",
    "fontdicty1={'fontsize': 18,\n",
    "          'weight' : 'bold'}\n",
    "\n",
    "fontdictx1={'fontsize': 18,\n",
    "          'weight' : 'bold',\n",
    "          'horizontalalignment': 'center'}\n",
    "\n",
    "fig.suptitle('Ilość wypożyczeń rowerów względem temperatury\\nz rozbiciem na pory roku', fontsize=25,fontweight=\"bold\", color=\"white\", \n",
    "             position=(0.5,1.0))\n",
    "\n",
    "ax3 = fig.add_subplot(143, sharey=ax3)\n",
    "ax3.scatter('temp', 'cnt', data=day.loc[day['season']==3], c=\"orange\")\n",
    "ax3.set_title('Lato', fontdict=fontdict,color=\"orange\")\n",
    "\n",
    "\n",
    "ax1 = fig.add_subplot(141, sharey=ax3)\n",
    "ax1.scatter('temp', 'cnt', data=day.loc[day['season']==1], c=\"blue\")\n",
    "ax1.set_title('Zima', fontdict=fontdict, color=\"blue\")\n",
    "ax1.set_ylabel(\"Wypożyczenia rowerów\", fontdict=fontdicty1, position=(0.5,0.5))\n",
    "\n",
    "\n",
    "ax2 = fig.add_subplot(142, sharey=ax3)\n",
    "ax2.scatter('temp', 'cnt', data=day.loc[day['season']==2], c=\"green\")\n",
    "ax2.set_title('Wiosna', fontdict=fontdict, color=\"green\")\n",
    "\n",
    "\n",
    "ax4 = fig.add_subplot(144, sharey=ax3)\n",
    "ax4.scatter('temp', 'cnt', data=day.loc[day['season']==4], c=\"brown\")\n",
    "ax4.set_title('Jesień', fontdict=fontdict, color=\"brown\")\n",
    "ax4.set_xlabel(\"Znormalizowana temperatura\", fontdict=fontdictx, position=(-1.5,0));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- W każdej porze roku dochodzi się do 8000 wypożyczeń\n",
    "- Zimą i latem na wyraźnie clustry\n",
    "- Wiosną i jesienią jest największy rozstrzał"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Zadanie 1\n",
    "\n",
    "Narysuj wykres o kształcie okręgu"
   ]
  }
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