04_module.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar Plots"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For variables measured on a nominal or an ordinal scale it's common to use a bar plot to visualize their distribution. To generate a bar plot for the distribution of a variable we need two sets of values:\n",
    "\n",
    "+ One set containing the unique values.\n",
    "+ Another set containing the frequency for each unique value.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use `Series.value_counts()` to generate the table, and then use the `Series.plot.bar()` method on the resulting table to generate a bar plot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "path = \"data/wnba.csv\"\n",
    "wnba = pd.read_csv(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.bar()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `Series.plot.bar()` method generates a vertical bar plot with the frequencies on the y-axis, and the unique values on the x-axis. To generate a horizontal bar plot, we can use the `Series.plot.barh()` method:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.barh()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rotating Axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# wnba['Exp_ordinal'].value_counts().iloc[[3,0,2,1,4]].plot.bar(rot = 45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Number of players in WNBA by position'}>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.barh(title = 'Number of players in WNBA by position')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pie chart\n",
    "+ We can generate pie charts using the `Series.plot.pie()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Pos'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.pie()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Customizing Pie Chart\n",
    "\n",
    "+ To give a pie chart the right shape, we need to specify equal values for height and width in the figsize parameter of `Series.plot.pie()`\n",
    "+ `plt.pylabel()` used to change axis labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.pie(figsize = (6,6))\n",
    "plt.ylabel('')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ideally, we'd have proportions or percentages displayed on each wedge of the pie chart. Fortunately, this is easy to get using the autopct parameter. This parameter accepts Python string formatting, and we'll use the string '`%.1f%%`' to have percentages displayed with a precision of one decimal place. Let's break down this string formatting:\n",
    "\n",
    "![formatting](img/s1m4_string.svg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Pos'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.pie(figsize = (6,6), autopct = '%.1f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Pos'].value_counts().plot.pie(figsize = (6,6), autopct = '%.2f%%',\n",
    "                                           title=\"Percentage of players in WNBA by Position\")\n",
    "plt.ylabel('')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram\n",
    "\n",
    "To visualize the distribution of the PTS variable, we need to use a graph that allows us to see immediately the patterns outlined above. The most commonly used graph for this scenario is the histogram.\n",
    "\n",
    "To generate a histogram for the PTS variable, we can use the `Series.plot.hist()` method directly on the wnba['PTS'] column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['PTS'].plot.hist()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seeing details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KNCwRERHR8wpVZhYsWIABAwbgvffeg6enZ47zVKxYEUuWLHmpcERERER5KVSZOX/+fJ7zFCtWDP369SvM4omIiIjyrVBjZpYuXYoffvgh2/QffvgBy5cvf+lQRERERPlVqDIzY8YMlC9fPtt0d3d3TJs27aVDEREREeVXocrM5cuX4e/vn226n58frly58tKhiIiIiPKrUGXG3d0dJ06cyDb9+PHjKFeu3EuHIiIiIsqvQpWZXr16YdSoUdi5cyeysrKQlZWFHTt2ICIiAr169SrqjERERES5KtTZTFOmTMHly5fx+uuvw8Hh6SIMBgPeffddjpkhIiIiiypUmSlWrBjWrFmDyZMn4/jx43ByckLNmjXh5+dX1PmIiIiIXqhQZcYoKCgIQUFBRZWFiIiIqMAKVWaysrKwbNkybN++Hbdu3YLBYDB5fseOHUUSjoiIiCgvhSozERERWLZsGTp27Ijg4GBoNJqizkWUTXDUVuiy1LGtae0FsxpZO0XhcD0TkdoUqsysXr0aa9euRYcOHYo6DxEREVGBFOrU7GLFiqFKlSpFnYWIiIiowApVZj788EN8/fXXEJGizkNERERUIIU6zLR3717s3LkTv/zyC1555RU4OjqaPL9+/foiCUdERESUl0KVmdKlS6Nbt25FnYWIiIiowApVZpYuXVrUOYiIiIgKpVBjZgDgyZMn2LZtGxYtWoT09HQAwI0bN/DgwYMiC0dERESUl0Ltmbl8+TLatWuHK1euQKfTITQ0FC4uLpg1axYeP36MhQsXFnVOIiIiohwVas9MREQEGjRogJSUFDg5OSnTu3Xrhu3btxdZOCIiIqK8FPpspn379qFYsWIm0/38/HD9+vUiCUZERESUH4XaM2MwGJCVlZVt+rVr1+Di4vLSoYiIiIjyq1BlJjQ0FHPmzFEeazQaPHjwAJ999hlvcUBEREQWVajDTF999RVCQkJQo0YNPH78GOHh4Th//jzKly+PVatWFXVGIiIiolwVqsx4e3vj2LFjWLVqFX777TcYDAYMHDgQffr0MRkQTERERGRuhSozAODk5IQBAwZgwIABRZmHiIiIqEAKVWZiYmJe+Py7775bqDBEREREBVWoMhMREWHyWK/X4+HDhyhWrBicnZ1ZZoiIiMhiCnU2U0pKisnPgwcPcPbsWbRo0YIDgImIiMiiCn1vpucFBgZixowZ2fbavMju3bvRuXNneHt7Q6PRYOPGjSbP9+/fHxqNxuSnSZMmRRWZiIiI/gsUWZkBAHt7e9y4cSPf82dkZKB27dqYN29ervO0a9cOSUlJyk9cXFxRRCUiIqL/EoUaM/Pzzz+bPBYRJCUlYd68eWjevHm+l9O+fXu0b9/+hfNotVp4enoWJiYRERH9DyhUmenatavJY41GAzc3N7z22mv48ssviyKXYteuXXB3d0fp0qXRqlUrTJ06Fe7u7rnOr9PpoNPplMdpaWkAng5S1uv1RZrNuDytnRTpcs3JmJWZzYuZLcOYtahf2+ZkzMrM5sXMlmHOzAVZpkZEbOKdS6PRYMOGDSZFac2aNShZsiT8/Pxw6dIlTJw4EU+ePMGRI0eg1WpzXE5UVBQmTZqUbXpsbCycnZ3NFZ+IiIiK0MOHDxEeHo7U1FS4urq+cF6bLjPPS0pKgp+fH1avXo3u3bvnOE9Oe2Z8fX1x586dPFdGQen1eiQkJGDiYTvoDJoiXba5aO0EkxsYmNnMmNkyjJlDQ0Ph6Oho7Tj5YnzfYGbzYmbLMGfmtLQ0lC9fPl9lplCHmSIjI/M9b3R0dGH+Fzny8vKCn58fzp8/n+s8Wq02x702jo6OZts4dAYNdFnqePM3YmbLYGbLMOfr21yY2TKY2TLMkbkgyytUmTl69Ch+++03PHnyBFWrVgUAnDt3Dvb29qhXr54yn0ZTtG+Id+/exdWrV+Hl5VWkyyUiIiL1KlSZ6dy5M1xcXLB8+XKUKVMGwNML6b333nt49dVX8eGHH+ZrOQ8ePMCFCxeUx5cuXcKxY8dQtmxZlC1bFlFRUejRowe8vLzw119/4eOPP0b58uXRrVu3wsQmIiKi/0KFKjNffvkl4uPjlSIDAGXKlMGUKVMQFhaW7zJz+PBhhISEKI+Nh6/69euHBQsW4Pfff0dMTAzu378PLy8vhISEYM2aNXBxcSlMbCIiIvovVKgyk5aWhps3b+KVV14xmX7r1i2kp6fnezmtW7fGi8Yfb926tTDxiIiI6H9Ioa4A3K1bN7z33nv48ccfce3aNVy7dg0//vgjBg4cmOtZRkRERETmUKg9MwsXLsSYMWPwzjvvKBe1cXBwwMCBAzF79uwiDUhERET0IoUqM87Ozpg/fz5mz56NixcvQkRQpUoVlChRoqjzEREREb3QS91o0njzx6CgIJQoUeKF41+IiIiIzKFQZebu3bt4/fXXERQUhA4dOiApKQkAMGjQoHyfyURERERUFApVZv7xj3/A0dERV65cMbnfUc+ePbFly5YiC0dERESUl0KNmYmPj8fWrVvh4+NjMj0wMBCXL18ukmBERERE+VGoPTMZGRk53oH6zp07ud7NmoiIiMgcClVmWrZsiZiYGOWxRqOBwWDA7NmzTa7oS0RERGRuhTrMNHv2bLRu3RqHDx9GZmYmxo4di1OnTuHevXvYt29fUWckIiIiylWh9szUqFEDJ06cQKNGjRAaGoqMjAx0794dR48eRUBAQFFnJCIiIspVgffM6PV6hIWFYdGiRZg0aZI5MhERERHlW4H3zDg6OuLkyZPQaDTmyENERERUIIU6zPTuu+9iyZIlRZ2FiIiIqMAKNQA4MzMT3333HRISEtCgQYNs92SKjo4uknBEREREeSlQmfnzzz9RqVIlnDx5EvXq1QMAnDt3zmQeHn4iIiIiSypQmQkMDERSUhJ27twJ4OntC7755ht4eHiYJRwRERFRXgo0Zub5u2L/8ssvyMjIKNJARERERAVRqAHARs+XGyIiIiJLK1CZ0Wg02cbEcIwMERERWVOBxsyICPr376/cTPLx48cYOnRotrOZ1q9fX3QJiYiIiF6gQGWmX79+Jo/feeedIg1DREREVFAFKjNLly41Vw4iIiKiQnmpAcBERERE1sYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqsYyQ0RERKrGMkNERESqxjJDREREqmbVMrN792507twZ3t7e0Gg02Lhxo8nzIoKoqCh4e3vDyckJrVu3xqlTp6wTloiIiGySVctMRkYGateujXnz5uX4/KxZsxAdHY158+bh0KFD8PT0RGhoKNLT0y2clIiIiGyVgzX/5+3bt0f79u1zfE5EMGfOHHzyySfo3r07AGD58uXw8PBAbGwshgwZYsmoREREZKOsWmZe5NKlS0hOTkZYWJgyTavVolWrVti/f3+uZUan00Gn0ymP09LSAAB6vR56vb5IMxqXp7WTIl2uORmzMrN5MbNlGLMW9WvbnIxZmdm8mNkyzJm5IMvUiIhNvHNpNBps2LABXbt2BQDs378fzZs3x/Xr1+Ht7a3MN3jwYFy+fBlbt27NcTlRUVGYNGlStumxsbFwdnY2S3YiIiIqWg8fPkR4eDhSU1Ph6ur6wnltds+MkUajMXksItmmPWv8+PGIjIxUHqelpcHX1xdhYWF5royC0uv1SEhIwMTDdtAZcs9kS7R2gskNDMxsZsxsGcbMoaGhcHR0tHacfFHz+4Ya1zMzm5c5MxuPrOSHzZYZT09PAEBycjK8vLyU6bdu3YKHh0euv6fVaqHVarNNd3R0NNvGoTNooMtSx5uSETNbBjNbhjlf3+bC9WwZzGwZ5shckOXZ7HVm/P394enpiYSEBGVaZmYmEhMT0axZMysmIyIiIlti1T0zDx48wIULF5THly5dwrFjx1C2bFlUrFgRo0ePxrRp0xAYGIjAwEBMmzYNzs7OCA8Pt2JqIiIisiVWLTOHDx9GSEiI8tg41qVfv35YtmwZxo4di0ePHmHYsGFISUlB48aNER8fDxcXF2tFJiIiIhtj1TLTunVrvOhkKo1Gg6ioKERFRVkuFBEREamKzY6ZISIiIsoPlhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1B2sHICJ6WcFRW6HL0lg7Rr5o7QWzGlk7ReFwPZOt4p4ZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZsuM1FRUdBoNCY/np6e1o5FRERENsTB2gHy8sorr2Dbtm3KY3t7eyumISIiIltj82XGwcGBe2OIiIgoVzZ9mAkAzp8/D29vb/j7+6NXr174888/rR2JiIiIbIhN75lp3LgxYmJiEBQUhJs3b2LKlClo1qwZTp06hXLlyuX4OzqdDjqdTnmclpYGANDr9dDr9UWaz7g8rZ0U6XLNyZiVmc2LmS2DmS1DzZmL+n3fnIxZmdl02fmhERHVbJ0ZGRkICAjA2LFjERkZmeM8UVFRmDRpUrbpsbGxcHZ2NndEIiIiKgIPHz5EeHg4UlNT4erq+sJ5VVVmACA0NBRVqlTBggULcnw+pz0zvr6+uHPnTp4ro6D0ej0SEhIw8bAddAZNkS7bXLR2gskNDMxsZsxsGcxsGWrOHBoaCkdHR2vHyRc1f6aYYz2npaWhfPny+SozNn2Y6Xk6nQ5nzpzBq6++mus8Wq0WWq0223RHR0ezbdA6gwa6LHVseEbMbBnMbBnMbBlqzGzO935z4Xr+e5n5ZdMDgMeMGYPExERcunQJv/76K958802kpaWhX79+1o5GRERENsKm98xcu3YNvXv3xp07d+Dm5oYmTZrgwIED8PPzs3Y0IiIishE2XWZWr15t7QhERERk42z6MBMRERFRXlhmiIiISNVYZoiIiEjVWGaIiIhI1VhmiIiISNVs+mwmIiKilxEctVU1F6DT2gtmNbJ2CnXinhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1VZSZ+fPnw9/fH8WLF0f9+vWxZ88ea0ciIiIiG2HzZWbNmjUYPXo0PvnkExw9ehSvvvoq2rdvjytXrlg7GhEREdkAmy8z0dHRGDhwIAYNGoTq1atjzpw58PX1xYIFC6wdjYiIiGyAg7UDvEhmZiaOHDmCcePGmUwPCwvD/v37c/wdnU4HnU6nPE5NTQUA3Lt3D3q9vkjz6fV6PHz4EA56O2QZNEW6bHNxMAgePjQws5kxs2Uws2Uws2WoOfPdu3fh6OhYpMtOT08HAIhI3jOLDbt+/boAkH379plMnzp1qgQFBeX4O5999pkA4A9/+MMf/vCHP/8FP1evXs2zL9j0nhkjjca0oYpItmlG48ePR2RkpPLYYDDg3r17KFeuXK6/U1hpaWnw9fXF1atX4erqWqTLNhdmtgxmtgxmtgxmtgxmNiUiSE9Ph7e3d57z2nSZKV++POzt7ZGcnGwy/datW/Dw8Mjxd7RaLbRarcm00qVLmysiAMDV1VU1G54RM1sGM1sGM1sGM1sGM/+tVKlS+ZrPpgcAFytWDPXr10dCQoLJ9ISEBDRr1sxKqYiIiMiW2PSeGQCIjIxE37590aBBAzRt2hTffvstrly5gqFDh1o7GhEREdkAmy8zPXv2xN27d/H5558jKSkJwcHBiIuLg5+fn7WjQavV4rPPPst2WMuWMbNlMLNlMLNlMLNlMHPhaUTyc84TERERkW2y6TEzRERERHlhmSEiIiJVY5khIiIiVWOZISIiIlVjmSEiIiJVY5khopfGkyIpNwaDwdoR8u3JkyfIysqydowC4+uPZabIHDt2DBs3bsSZM2eUF4OaNrAdO3bgvffew6effoqffvrJ2nFeyp9//mntCAUWFxeH69evWztGgaxduxZr167FpUuXrB0l3/bu3YsrV65YO8Z/vfnz52Px4sUAADs7dXzMzJgxA2+//TbOnDlj7Sj5du/ePQDZ71/4P+nl7mtNGRkZEh4eLiVKlJCGDRtK6dKl5R//+Ic8fvzY2tHy5e7du9K7d28pW7asDBo0SF577TUpXry4LFu2TJ48eWLteAVy5coVqVatmoSGhsqff/4pIiIGg8HKqV5s06ZNUqlSJalTp47s3LlTHj16ZO1IedqyZYtUqlRJXnnlFalcubLUrVtXVq1aZe1YL7R161bx8/OTSpUqiaenp/Tv31+OHj1q7VgvFBcXJyNHjpSvvvpKDh06ZO04+bZ27VrRaDTSvn17OXjwoIjY9uvw2LFjEhwcLNWqVZOFCxfK5cuXJSsry9qxXmjDhg3SrFkzCQkJkcjISDl+/LiI2PZ63rhxo3Tp0kXGjBkjcXFxyjouqszqqMw2bOPGjTh58iT27duHhIQETJkyBb/88gs++OADa0fLU0ZGBr744gtkZGQgMTERixcvxvbt2/Hmm28iJiYG9vb2qtpFfOzYMZw/fx4A8PPPPwOw7W8smzZtQkREBIYOHYq9e/eiRYsWKF68uLVjvdDRo0cxbtw4DBs2DIcPH8amTZvg5uaGEydO2Oy2cvnyZXz66afo378/EhMTsWjRIhw7dgxjx461yb1K165dQ/v27TFgwACkpKRgyZIlCAsLw5EjR6wdLV9u376NgIAAZGRk4KeffsKTJ09s+nW4du1a1KpVC2fOnMGQIUPg4+Njk3uTRASPHj3CsGHDMGTIEHTu3BmvvfYaduzYgcWLF8NgMNjketbr9RgzZgz69+8PHx8f/P777+jTpw/Gjx+PzMxMaDSaIjmKYfO3M7B1K1asQEBAAGrXrg0AGDp0KDw8PPD222+jV69eCAsLs3LC3JUoUQLp6eno27cvgoODodfr4ejoiC5dumDkyJF4+PAhnJ2drR0zTyICjUYDBwcHDBo0CCkpKdiyZQtatGiB+vXrw2Aw2NSbkzHv2rVr0aNHD3z00UfIzMzEwYMH4e7uDj8/Pzg6Oirz2QJjlt9++w13797FgAEDULx4cdSoUQMlSpRAxYoVbWodP+v06dM4ceIEVq1ahYoVK6JixYpwdHTEzJkzMXHiRKxcudLaERW3b9/G+PHjUaZMGRw4cEC5bUu9evWwePFim9yen3f69Gl8+eWXOHjwIHbu3IkmTZqgU6dOyMrKgr29vbXjmbh58yYWL16MTZs2AQD++c9/IiUlBeXLl8dbb72F+vXrWznh3zQaDc6fP4+dO3di06ZNaNSoEYCnh9Vv374NOzs7m3rPMLpx4wY2b96MFStWoFOnTgCAWbNmYe3atXBxccGECROKJLftviJsnLFJ+vr6IjMzU5lub2+Pzp074+2338bYsWOtFS9Pxm/RM2bMwJtvvgkAcHB42m1PnTqF4OBgODs7q2Lcj/FFEBcXh4oVK2LChAlISkrC+vXrAfx9zN5W/hZj3iNHjqBx48ZITEyEv78/IiMj0bBhQ0RERODq1atF9o2lKBgzp6amwtfXF/Hx8QCA6OhobNu2Dbt27cKXX36Jc+fOWTNmjlJSUlC9enU8efJEmRYWFoYePXpg37592L59uxXTmXJzc0N6ejr69+8PPz8/6PV6AEDHjh1x8uRJALY7BsU4VjAtLQ1paWn44IMPICLYvn07njx5ghs3bgCwndehUcWKFXHmzBl06tQJhw4dQoUKFbB+/XoMGjQIW7duBWA7g5hPnToFvV5vksdgMKBp06a4efOmTY7XTE5ORkpKCsqWLatMGzRoENq2bYt///vfuHDhglLEXoZtvipUwPjm7ubmhoyMDBw6dEh5TqvVYvTo0Th37hx++eUXALa1cQF/vyGWKFECAEya8V9//YXGjRtbLVtBGV/AxYsXR6lSpVCzZk2EhYXhwIED+OyzzzBgwAAAtnXIKTk5GRUqVMDx48cxZcoUTJw4EevWrcP06dNx8uRJREREALCdzMbtt2vXrggICEB0dDQCAgIwe/ZsTJ48GZUqVcKmTZvQu3dvKyf9mzFz9erVcerUKZOiZW9vjzZt2qBmzZpYtWqVtSKaMG7HMTExyh5d4xeMc+fOKXt/be29xMje3h4igkuXLsHDwwMVKlTAgAED8Msvv8DV1RW9evUCYDvbNADodDoYDAbEx8ejWLFiWLNmDSZNmoStW7ciODgYEyZMAGA7BdLX1xdubm6IiIjAwoULERgYiPXr1yMmJgYhISHKF2hbWsdZWVlwcHBAenq6su2WLVsWb7zxBnx9fTFnzhwARZC5SEbe/A8yDl46fvy4VKpUSaZOnSoPHz5Unr9165a8/vrrMm3aNGtFFBGRI0eOyP379/M9f3p6ulSqVEl+/PFHZZpOpzNHtCJjHED2xhtvyPz580VEZO/evVKmTBkpVqyY9O/fX0TE4oP6jAOocxvg1qVLFylRooS0bt3aZODvypUrxc/PTw4cOGCRnM/KyMiQzMzMF86j1+vl4MGDUqtWLTl9+rQyPTExUQIDA+X//u//zB0zV8//GxvXfWhoqLz++uvy4MEDk+eHDRsmHTt2lEePHtns4EmDwSDNmjWTlStXKo+tLafXksFgEIPBIN27d5crV65IUlKStGnTRuzt7aV69eqyb9++XH/XXK5fvy5LliyRu3fv5phXROSDDz4QjUYj4eHhJs9v2LBBateubfGB4sZcua2nXbt2ydy5c6VOnToydOhQuXnzpty4cUO+++478fDwkG3btpksxxbUqFFD+vXrJ3q9Xpn2+PFj+fDDD+X111+XGzduvPT/wzbqpg1KSEjAqFGjMGfOHBw8eDDb88bdYrVq1ULnzp2xceNGZZckALi6uuL06dPKmBOx8LepdevWwdfXF2+//TZq1aqFzz77DDdv3sw1i3Hab7/9hvT0dHTr1g0AMHPmTHTv3h2nT5+2XPjnxMfH4/jx47nu6tVoNHj8+DGcnJzQqFEjREZGIiQkBBUqVEBQUBBCQ0MBWPbb1cSJEzFx4kQl37OM38CjoqLw8OFDZGRkmMxTvXp1ODg44PHjxxbJavy3nz59Oho2bIjDhw+/cH4HBwdcvXoVpUqVgqenpzI9MzMT9+7dQ5kyZcya91mzZs3Cxx9/jAULFgDI/d94+vTp2LVrF2JjY00OC5cvXx5nzpxBsWLFLPpttiCHLS5cuIALFy4gODgYwNPtyXj4yVJmzJiB6dOnY926dQByXs8ajQZ3797F/v37MXr0aFSqVAlly5bFF198gZIlS2Lfvn25/q45REREwMfHB4MGDYKrq2u2543b/ZQpU+Ds7IzLly+bDAh/8uQJrl69anJ4xNzGjx+PuXPnAsi+nox5W7VqhU6dOuHevXv44IMP4O7uDi8vL7Rs2RJly5bFH3/8AcBye2diYmJw4cKFHJ8zvtd9/vnniI2NxX/+8x/l79Bqtahduzb++OOPonnPeOk69F/mxo0b0qlTJ3F3d5c+ffpIzZo1pVSpUsophs8yNue7d+9K27ZtpWHDhrJ582a5f/++/Pzzz1KrVi2rfLs+dOiQVKtWTebMmSPHjx+X+fPni5ubm3zwwQfKN5TcWv/XX38tvXv3loSEBKlataqUK1dO1q9fb8n4iqVLl4qnp6fUrFlTXFxcZNiwYS9s8LVr1xaNRiO1a9eWbdu2SUZGhnTq1Enatm0rf/zxh0Uyb9y4UTw8PKRx48Yyb948uXfvXo7zGdf/+++/Lx4eHrJ06VLluX379klQUJCcP3/eEpGVPA0bNhSNRiMRERGSmpr6wvnnz58vPj4+sm/fPsnMzJSMjAyJjIyU0NBQuX37ttnzfv/99+Lm5iZNmzaVt956S5ycnOT9999X/pac/POf/5QKFSrI4sWLJSMjQ1JSUqRDhw4yceJEs+cVEVm2bJlUq1ZNrl27JiJ5f3M2/h3fffedVK1aVfmdCRMmyLBhw+TWrVvmDSwiCQkJ4ufnJ40aNZK33npL3N3d5a233lIuffA8nU4nnTt3Vt4Ljbp37y5NmzaVs2fPmj3zokWLxMXFRRo0aCBffvmlVK5cWRISEnKc17j39OuvvxZfX18ZPny43L59W+7fvy8RERHSt29fi1xmY8GCBVKyZEmpW7euyd7O3GzYsEEaNGggV69eVaYdPnxYKleubLHPnKysLOnWrZtoNBqZPXt2npeVCA0NlUaNGsnJkyeVad98843Uq1dPUlJSXjoPy8wzMjIypF+/ftKzZ0+TF2vDhg3lvffeExHTN8qsrCzl8eHDh2XgwIFSvHhxqV27tjg5OcmUKVMs+wf8fwsWLBAfHx+TD6R58+ZJkyZNZPLkycq059/0Hz9+LB07dhSNRiPFihWTTz/91GKZn/fdd99JlSpVZNWqVXL79m35/vvvpWTJknLs2LEc53/y5ImsXbtWli9fbnIo4fvvv5fw8HC5fv262TM/ePBAOnfuLJ9//nme8xrfRFNSUqRdu3bi6+srERER8s0330hAQIAMGzbMotcqunr1qgwZMkQWLFggGo1GtmzZkuN1IJ7dZho2bCje3t7yxhtvSGBgoNSoUcMi10NZvHix1KlTRxYtWiQiTw97rVy5UpycnLIdRjIYDCaZhw4dKm5ubtKoUSPx9fWV4OBgOXPmjFnz3rt3TyIjI6VixYpiZ2cnffr0UbLlx+DBg+WTTz6RuLg4qVixonh6esqOHTvMGVnRs2dPiYiIUB5fuHBBNBqNDB48WCmtxsNLIk+3jytXrkhaWpryWETk1KlTyrVQzEWn00mLFi2kRIkSEhMTIyIiFy9eFDc3N4mLi8vxd57dNqKjo8XLy0tq1qwpvr6+Ur16dbMfYjp//rw0atRIXF1d83WtJuN6vn37tri4uMi7774ra9euldjYWKlSpYr06dNHUlJSzH6IybjeRowYIQ0bNhQvLy/57bffXpg5OTlZAgMDpWnTpjJjxgz597//Ld7e3vl6v8wPlpnnDB48WH755RcREeX43qRJk6RJkyb5+v3jx4/L+vXrLfLt1CguLs6koY8dO1Zee+01ycjIUKY9ePBAhg8fLs2aNTNpxiJi8k2gffv2MnToUElPTzd/8BwYDAZ58uSJhIeHS9++fU2eCwoKylZmnr2wn7WPEf/f//2fuLm5SVZWlty7d08++ugjmTFjhsTGxppke34szbVr1+SLL76QLl26SL169WTOnDkWz37z5k2pVKmSiIi0bNlSWrduneM4AxFRxtScPXtWVqxYIePGjZPly5ebPaPxDfTEiROycuVKk7Fcc+fOlVGjRuW6V8aYOSMjQ44cOSJLliyR77//3uyZRUROnjwpAwcOlOXLlysXlNuzZ4+IZN9mn79Q5a1bt6RSpUqi0WikePHiMmvWLItkFnlaQEqWLCm7d+8WEVGKYqNGjcTT01Pmzp2b6+9a8rX47DiM/fv3K18CjBkCAgIkKipKRHLea/fs7//555+SkJBgsb3RsbGxUrZsWfn6669F5OmXm5UrV8ru3buz7Zk1bhvGvyEmJkZatGghwcHBEhgYaPH3jdu3b0uDBg0kNTVVAgICZMCAAdn2/D//Xnf48GEZPXq0NG/eXIKCguSrr74qsjwsM895dvCj8R/gnXfeUXZhP/siTU5Olo8//li2bt2a7TlLiIuLk8qVK0utWrVk+/btSgHZtGmTFC9eXC5evCgif29Q8fHx0rx5c4mOjlaWMW/ePKlfv74yaPPZQczWVKdOHRk0aJAkJyeLiMjIkSOlatWqEhUVJf/5z3+y5bx8+bLFMy5ZskR+/vlnk8ddu3aVbdu2ib+/v7Rt21beeOMNsbe3l5EjR2bbO/TXX3+ZPNbr9WYfHHnw4MEc91Lt3LlTXn/9dRF5WhY0Go0sX75cZs6cqQzcFHm6e/v5cmZux44dy3GPi9G4cePEwcFBqlWrJnXq1JHvv//epIwbM1vS83tOjHusMjMzpVu3blKvXr0X/v6z23PFihVl1KhReQ7MflnPnyyQmpoqbm5u8u233yrTbt26JW3atJFGjRrJm2++qRwyE7HOev78889lwIABcufOHZPpxu0jLS1NunbtKn369MnxiubWyCxiuv2Gh4dLp06d5P333xdfX19p0qSJuLm5iZeXl+zYsSPbe8KlS5eU/87MzJQ//vjD7Fdrf/aLscjTz5RHjx5Jy5YtJSsrS9asWSMODg5y+PBhEZFsJ508/1537969Is/MMpMPr776qjKm4dmN8OjRo1KjRg0ZMGCAxTNt3rxZKleuLFOnTpX09HSTbxcPHz6UqlWryuDBg0XE9NvIq6++KsOGDVMe7927Vzp27Jjr4Rtzi4+Pl3PnzimPjX/H2rVrxc/PT8LCwqRcuXJSrVo1+fzzzyUkJERq165tcpZYRESEtG/f3iLH40VEVqxYIe7u7qLRaEy+na5du1ZKlSolw4YNk08//VT58Fm2bJk0adJEZs6cabXMq1atkipVqsgrr7winp6eMm7cOJNj3Dt37pQ2bdooj0NCQsTe3l6qVKmivEGJiLRp00aCg4MtMp7nhx9+EF9fX6lVq5YEBQXJ559/Ljdv3hSRvw8fff/999K6dWv54YcfZM+ePTJx4kRxcXExKZmWzLxixQopV66cdOzYUR4+fJit9BkMBjl48KA4OTnJd999JyLZ9xYYt43ff/9dRCRbkStqP/74o/j4+EhAQIBUrFhRJk6cqIzH+eSTT0Sj0UhUVJR88cUX4uLiIh9++KEsXrxYSpUqZVJmLLmed+/eLf7+/lK7dm2ZP3/+C8fS9ezZU9q2bSsi2de1JTNv2rRJJkyYIDExMSYf7omJiVK5cmVp1qyZbNiwQW7cuCEXLlyQ3r17S1BQkMmedOO2YakxgKtWrZKQkBDp0qWLzJkzR/lyKfL0kGOlSpWU8S4hISFSo0YN8fHxkRkzZmTLbO73OpaZPFy8eFE8PDxM3tCf3b29d+9ea8SSfv36SWRkpIg8bed79+6Vs2fPmnyA2tnZmXyrFhHp06ePhISEWDzv865evaoMHuvRo0eOLf3OnTsye/ZsadWqlXIMXuTpoNlu3bopb7gxMTHSsmVLuXLlilkz//bbb1KvXj0pXbq0zJkzR95880156623lOd1Op0yCPnZAb0Gg0F69OghgwYNUv59LJX57t27MmDAAPH29paFCxfKqVOnZPHixaLRaEwOL86dO1c+/PBDuXbtmjRs2FBKlSolWq1Wxo4da/Jvc/r0aUlMTDRrZhGRdevWSdWqVWXx4sXyxx9/yJIlS6RMmTIybNiwbHsPni3yIk/3ZEyaNMmimU+fPi1169aVcuXK5brr3FhsMjMzZcyYMeLm5mYyLsr4Qbts2TKLbBsiLz5ZwLiex44dK+3atZNq1arJv/71L+V3S5cubbJeLbVtiIgMHDhQRowY8cJ5jOvz22+/lfLly5u8hxi3aUtkvnDhgrRs2VJ8fHyka9eu4uPjI9WrVzcpqd9++222vXk6nU5KlCihlF4Ry71vpKSkSK9evcTT01MmT54s77//vvj5+SmXvhB5+gXIOP7r/PnzUrNmTdFoNNK9e3eTAb2WyswykwvjG8/y5cslICBAmR4VFSVDhw6VpKQka0UTEZHg4GBZvXq17NmzRypUqCCNGzeWUqVKyeDBg5XW37lzZ6levbrs2rVLDAaDJCUlSaNGjUxeHNZw7949+fjjj6Vz587y1VdfSbFixUwG6D37bbZXr17KQGpjiYyMjJSAgACLjutZvny5cqaPcZfrO++8I507d1ZyZGVlybfffisajUb+9a9/mXzI9u/fX5o2bWqxvEYnTpyQESNGyJEjR5RpmZmZUrlyZZOCvmTJEtFoNGJnZyd9+/YVnU4nc+fOlRIlSijjOyzB+G8/YMAA6d27t4j8/aE0ePBgcXR0lC+++CLb/Mb/vnTpUrYPXXM7ceKEVK5cWQIDA5Vpjx8/NjkU+vwegT///FN8fX1lzJgxIiJy4MCBbF88LCG3kwUaN26sFEKDwWBSBESevh48PT1zPavJnE6cOCEuLi5y7do10el0MmbMGPnnP/8ps2fPNtlzYBQTEyPVq1c32d4t5cKFC9K2bVsZOHCgJCcni16vl+vXr0v58uVNSu/z1/IyGAyi1+ulSpUqMnr0aAunfrrHPDg4WC5cuKBMa9SokXz00UfK47i4OKlatar07dtXHB0dZcSIEdKzZ0+pUaOGyd52S+F1ZnJhPEf/4MGD6NGjBxISEuDv74/58+ejW7duJtfXsDSdTgdvb2+cPHkSn3/+OcaNG4d169Zh5syZOHv2LEaMGAHg6Q3U3N3d8fbbb6Ndu3aoX78+7OzsrH6/KONVeiMiIjB69Gh069YNEyZMwIMHDwDA5DL+9+/fV657UqxYMdy8eRPnzp1Dr169ULJkSYtl7tWrF86dO4c5c+Yo1w6qW7cuDh48qOSws7ND79690a5dO8ydOxc7duwA8PRqvzdu3FCuRGxJNWvWxMiRI1G3bl1l2oQJE1CiRAn8+uuvyvWDKleujNGjR2PPnj2IiYlBsWLFMGLECJQuXTrXa0iYg/F1d/ToUfj6+gKAchsCDw8PeHl5YePGjThz5ozJ/MDTbWX27Nnw8PBAly5dzJ7VeK2YatWqoX379qhSpQpOnTqFxYsXo02bNmjfvj06deqE8+fPKzmNv+Pv749PP/0U33zzDbp27YqmTZvixIkTkKdfMM2WecGCBVi0aJHy+M8//0RQUJBypWEA6N+/Pxo0aICtW7fi1KlT0Gg0cHFxUfLfunULcXFx6NKlC/z9/c2WNbfMGRkZqFWrFo4ePYrmzZvj2LFjyMjIwOTJkzFw4EAcP34cAJRr8TRp0gTnz59X1qs516/RTz/9BAAoU6YMDAYDhgwZAg8PD9jb28PLywutW7c2uXZXsWLFTH5fo9EgMTERjo6O6Nu3rzLdnNmNmUUEu3fvhpOTk8l24ePjgxYtWiAtLQ3A0+tNpaWlISkpCTt27MDcuXMRExODM2fOYMmSJRa/FhL3zLzAo0ePpEqVKqLRaESr1ZocB7S2iRMnSokSJeTVV181+Qb4/fffi5+fn+zcuVNERJKSkiQ+Pl6mTp1qsbM3npeYmChbtmwx2VPx7GDG8+fPi5OTk8ybN0+ZZvzGvXPnTnF0dJRmzZrJBx98ID4+PtKyZUuzD/h9PrMxz7N7AjZv3ixeXl7ZrkF0584dadmypZQrV07at28vHh4eEhISUiRXuXyR+Ph4GTlypMyZM0d+/fXXbM/fuHFD6tatK56enjJ48GBp2rSpBAUFKYfEnt17YPy7zT1eI7fMM2fOlFKlSimHADZv3iz16tWTiIgIqVOnjqxYsUJEnu4BWb16tYwZM0a8vLykcePG+bpOx8uIi4uTN998U0aMGKGcAnzo0CFp2rSplCpVSmrVqiX/+te/ZNKkSVKvXj2pV69etkMZaWlpMnbsWNFoNBISEpLjdayK2vr160Wj0Ujbtm2Vw+MbN27M98kC27dvl08++US5vo/xdyyV+T//+Y+IiPz6669Svnx5GThwoAwZMkTZM7pnzx5p27atyVmQBoNBrl+/Lu7u7hbZI71x40bx9vaWgIAA5YzWZw+5GN8/GjdubLJujW7cuCHnzp2TBQsWSMWKFWX48OHy4MEDsw64N2auUqWKkjk2NlYCAgKkT58+smTJEqlUqZKUKlVKqlevLg0aNJB///vfIvL0hALj54/xPePHH380++UOcsIyk4c2bdrIBx98kOcFgSzt0aNHYmdnJ3Xr1jUpM8eOHZOAgIBcLxJlSbdv35Z3331XuZDds6PwjYwfoBMmTBAPDw+TU8yN1q9fLx999JGEh4fL2rVrrZ7ZaM+ePeLu7q68yYr8/WFw8+ZNiY+Pl9mzZ8uGDRvMmjm/F3q8deuWbNmyxeTwXPv27eXtt9+2+FlseWV++PChhIaGio+Pj3h7e4tWq1UOHVWuXFmmT58uIk/LzMaNG6Vz585m3zauXbsmHTp0EDc3Nxk1apT06NFDnJ2d5YcffhCRpwXsH//4h8ngzpSUFKlatap8+OGHyqGE1NRUGTp0qJQsWTJf1xYpKosWLZKAgABp2bKljBs3Th4/fixZWVkSFBSUr5MFzp8/L5GRkcrfa43Mxvfhdu3aiUajkU8++cRk/smTJ0ubNm1MLiiYnp6e6zVQisrly5elWbNm4urqKlOnTs32/LPr9e7du1KlSpVs4y11Op0sW7ZMAgMDxd/fXyns1socExMjUVFR4uPjI+PGjZPk5GT5448/ZMyYMdluZSJi/UtjsMzkwdynvL2MlStXipubm8k3jl9//VUCAwMtNto9N3q9XubPny9t27aV1atXi7Ozs0yfPj3X+zylpaWJr6+vjBo1SplmiSucPqugmXU6nbi5uSmD4ix97yeR/F3oMadt2Lhn7P3335dq1aplG0RrTi/KbLyPlsjTQnP06FFZvXq1yZ68hg0bmly11xLrPSMjQ4YNGya9e/c2GchYs2ZN5QP/5s2bJnsrjOt91KhRUqdOHZPlWWP8RkREhKxbt06ioqKkcePGsnHjRhF5Ol7Kzs4u24erLZws8GzmJk2ayLp160Tk6RcJjUYjgwYNMtnzMXPmTKlQoUK2U4nNKT09XcLCwsTJyUl5r9Dr9XLnzh2TPbvGD/uEhASpWLGiyfge4zZ869Yt+emnn6ya+dlB6Xv37pUaNWqYXM7BeOkJ4z2gbAXHzOTB3t7e2hFyFR4ejlatWmHSpEkYOXIk5s2bh3feeQchISHw8/OzajYHBwfUq1cPI0aMQM+ePfHRRx8hOjo613s8ubi4YNq0afjuu+8QFxeHwYMHY9iwYbh+/brNZk5PT0edOnWU561xZ11nZ2dotVr0798f/v7+yviSTp06KeNKctqGHR0dcfnyZfz111+IiIgwOTZuzczG+8oAgJOTE+rUqYOePXvC0dERALBv3z7cv38fPXr0UOazxHp3dnbGW2+9hcmTJytjeQAgMDAQXbp0wePHj+Hu7o7KlSsr4xrs7Ozw6NEjXLx4EQEBATAYDMqYmfr165s9s5Hx/jipqalITU3FkCFDYG9vj+3btyMrKwstWrTA4MGD8d577yExMREiguTkZJw/fx59+vSxWM68MtvZ2WHXrl3IzMxErVq1MHnyZGzYsAErV67Eo0ePkJKSgt9//x39+vVTxrVZQsmSJdGnTx9Uq1YNO3bswNq1a9G0aVN06tQJDRs2xLZt2/D48WNl3NSOHTsQFBQEDw8PZGZmYsyYMYiOjkZmZibc3NzwxhtvWDVzkyZNsG3bNmRlZeHIkSMoV64cvL29ld999OgRNBoNKleubPacBWLtNkUv58GDB/LVV19Jly5dpH79+vLll19aO5Li+d2O3t7eMnjw4GxnRhilpaWJp6enaDQaqVy5suzfv98SMU0UNHPbtm2V07OtsWdGpGAXekxKSpLjx4/LsmXLxN/fXzp27GhyrRBLKUjm+/fvy4kTJ2ThwoVSsWJFee+998w+jiAnz/7/du7cKQEBAeLs7Cw1a9aUli1bmhx+Me6VWbJkibzyyivKVcWtqVWrVsr9kpYuXSpBQUFSokQJadasmTx69EhatWol7u7uEhYWJt7e3tKkSROLnB5ekMxVq1aV4sWLy6uvvioiT29PUaZMGWnWrJlUqFBB6tata7FrNz0rIyNDevfuLQ4ODlKjRg2ZP3++LFy4UN544w2pVq2ayYUH27ZtK4sXL5affvpJvL29xcvLyyr38HtR5sDAQFm1apWcO3dONBqNTJgwQXbu3CkrVqwQPz8/GTVqlM3daZ5l5r+EXq+32UNixt2Ya9euFQcHB4mPj882z5EjRyQgIEDKli1rlStyPi+vzMZ1PXr0aKldu7al4+Uptws9btu2TerWrStVqlSRhQsXWildznLLfPHiRRk5cqRUrlxZFixYYKV0f8vMzJTx48fL6NGj5ezZs3Ls2DHp2bOnNG/eXE6fPq2cDt+8eXMpW7as1QbeGxnXZY8ePeTSpUty8+ZNadu2rdjb20u1atVk+/btIvJ0HJO1TxYwyiuz8ZosxttTrFixQn788UdrRpbExESJjIyUEydOmEzv2rWrvPHGG8rF8IoXLy6Ojo7i7OxsctKDNbwoc8eOHUWv18uUKVMkKChIatSoIQEBAco90WwNywxZVNOmTaVNmzbKlVyN1+vZvHmzTJgwwZrRcpVbZhGxyrfAvOR0ocdn94QYP7xsSV6ZrXHdihcxjoUw7o3bvHmzeHp6ysmTJyUtLU169epl1Ru1Pu/evXvi7e0t3bp1E61WK2+++aZ888030rBhQ2Uwta1RW+asrCyTEwaevWifu7u76HQ6uXnzppQrV07Gjx9vpZSmXpTZzc1NeQ2mpqaafRD1y2KZIYswvvmfPHlS7O3t5euvv5ZRo0ZJ/fr1lcu225rcMjds2NAqAzjzYusXesxJXplzugiaLTHmX7JkiVSrVk05LJPboHFrefLkiXJPqGdv9fDWW29J48aNrXIqbV7UmPlZxkG/o0ePlkaNGikXJsztkLUteD5zWlqaTR1KehGWGbK4hg0bikajET8/P9myZYu14+SLmjIPHz5cxo4dK/Hx8VKpUiVxd3dXboZqq9SY2fit9YcffpDg4OAcT2+1JdeuXVM+SI3fwM+cOWPT37jVmFnEdNuoUaOGLF682MqJ8qbGzM9imSGLuXDhggQHB4uzs7PVb6mQX2rLbMsXesyNGjPfu3dPIiMjJTQ0VFxdXU1uOEr/2+7duycjRoyQkJAQcXFxMbmfka1SY+bnWe58TPqfZ29vjx49euCjjz6Ck5OTtePki9oyFy9eHJUqVUJoaCiio6NRvHhxa0fKkxozlylTBr6+vnB1dcXPP/+sisxkGWXKlIG3tzdKlSqFuLg4VWwbasz8PI2IBW5UQUQWk5WVZdPXR8qJGjOLiMm9oYiM1LhtqDHzs1hmiIiISNV4BWAiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJSNZYZIiIiUjWWGSIiIlI1lhkiIiJStf8H/igOXVXgY/8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from numpy import arange\n",
    "wnba['PTS'].plot.hist(grid = True, xticks = arange(2,585,58.2), rot = 30)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task\n",
    "\n",
    "Generate a histogram for the Games Played variable, and customize it in the following way:\n",
    "\n",
    "+ Each bin must cover an interval of 4 games. The first bin must start at 1, the last bin must end at 32.\n",
    "+ Add the title \"The distribution of players by games played\".\n",
    "+ Add a label to the x-axis named \"Games played\".\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Games Played')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Games Played'].plot.hist(range = (1,32), bins = 8, title=\"The distribution of players by games played\")\n",
    "plt.xlabel(\"Games Played\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Skewed Distributions\n",
    "\n",
    "Both these histograms show skewed distributions. In a skewed distribution:\n",
    "\n",
    "+ The values pile up toward the end or the starting point of the range, making up the body of the distribution.\n",
    "+ Then the values decrease in frequency toward the opposite end, forming the tail of the distribution.\n",
    "\n",
    "![Skewed Distribution](img/s1m4_body_tail.svg)\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "f the tail points to the left, then the distribution is said to be __left skewed__. When it points to the left, the tail points at the same time in the direction of negative numbers, and for this reason the distribution is sometimes also called __negatively skewed__\n",
    "\n",
    "If the tail points to the right, then the distribution is __right skewed__. The distribution is sometimes also said to be __positively skewed__ because the tail points in the direction of positive numbers.\n",
    "\n",
    "![DISTROS](img/s1m4_skewed_distros_v2.svg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VV1fXKdfP3Dh/fcifs7N9vXSs0yMAAHBRHfn7O6idmfj4eO3atUuvv/66du7cqdbWVk2ZMkWPPfZYwAXBAAAAnS2omJGkyMhIPf3003r66adDOQ8AAECHBBUzq1evvujjkydPDmoYAACAjgoqZmbNmhVw//Tp0zpx4oQiIiIUFRVFzAAAgCsmqN8zU1tbG3A7fvy49u3bpxEjRuj1118P9YwAAAAXFPRnM/1QcnKyli5d2mbXBgAAoDOFLGYkqVu3bjpy5EgonxIAAOCigrpm5r333gu4b4xRdXW1CgoK9POf/zwkgwEAALRHUDHzyCOPBNx3uVzq27ev7rvvPj333HOhmAsAAKBdgv5sJgAAgHAQ0mtmAAAArrSgdmZmz57d7nPz8/OD+RYAAADtElTMlJeXa+fOnTpz5oxuueUWSdKXX36pbt266Y477vCf53K5QjMlQooPxwQAdCVBxcy4ceMUHR2toqIi9erVS9LZX6T31FNP6Z577tGcOXNCOiQAAMCFBHXNzHPPPae8vDx/yEhSr169tGTJEt7NBAAArqigYqa+vl7ffPNNm+M1NTVqaGi47KEAAADaK6iYGT9+vJ566im9/fbbOnTokA4dOqS3335bU6ZMUWZmZqhnBAAAuKCgrpl58cUXNXfuXD3++OM6ffr02Sfq3l1TpkzR8uXLQzogAADAxQQVM1FRUXrhhRe0fPlyffXVVzLG6Oabb1bPnj1DPR8AAMBFXdYvzauurlZ1dbUGDBignj17yhgTqrkAAADaJaiYOXbsmO6//34NGDBAY8aMUXV1tSTpmWee4W3ZAADgigoqZn7729+qR48eOnDggKKiovzHJ0yYoA0bNoRsOAAAgEsJ6pqZjRs36sMPP1T//v0DjicnJ6uqqiokgwEAALRHUDszjY2NATsy5xw9elRut/uyhwIAAGivoGLm3nvv1erVq/33XS6XWltbtXz5co0ePTpkwwEAAFxKUD9mWr58uUaNGqVPP/1Uzc3Nmjdvnvbu3atvv/1W//rXv0I9IwAAwAUFtTNz2223affu3brrrruUlpamxsZGZWZmqry8XDfddFOoZwQAALigDu/MnD59Wunp6XrppZe0ePHizpgJAACg3Tq8M9OjRw99/vnncrlcnTEPAABAhwT1Y6bJkyfr1VdfDfUsAAAAHRbUBcDNzc3629/+puLiYg0dOrTNZzLl5+eHZDgAAIBL6VDM7N+/XzfeeKM+//xz3XHHHZKkL7/8MuAcfvwEAACupA7FTHJysqqrq7V582ZJZz++4C9/+Ys8Hk+nDAcAAHApHbpm5oefiv3BBx+osbExpAMBAAB0RFAXAJ/zw7gBAAC40joUMy6Xq801MVwjAwAAnNSha2aMMXryySf9HyZ56tQpTZs2rc27mdatWxe6CQEAAC6iQzGTlZUVcP/xxx8P6TAAAAAd1aGYKSws7Kw5AAAAgnJZFwADAAA4jZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWczRm8vLydOeddyo6Olr9+vXTI488on379gWcY4xRTk6O4uPjFRkZqVGjRmnv3r0OTQwAAMKNozFTUlKiGTNmaPv27SouLtaZM2eUnp6uxsZG/znLli1Tfn6+CgoKVFZWJq/Xq7S0NDU0NDg4OQAACBfdnfzmGzZsCLhfWFiofv36aceOHbr33ntljNGKFSu0cOFCZWZmSpKKiork8Xi0Zs0aTZ061YmxAQBAGAmra2bq6uokSb1795YkVVZWyufzKT093X+O2+3WyJEjVVpaet7naGpqUn19fcANAAB0XY7uzHyfMUazZ8/WiBEjlJKSIkny+XySJI/HE3Cux+NRVVXVeZ8nLy9Pixcv7txhccXdOH+90yN02NdLxzo9AgBcFcJmZ2bmzJnavXu3Xn/99TaPuVyugPvGmDbHzlmwYIHq6ur8t4MHD3bKvAAAIDyExc7Ms88+q/fee09bt25V//79/ce9Xq+kszs0cXFx/uM1NTVtdmvOcbvdcrvdnTswAAAIG47uzBhjNHPmTK1bt06bNm1SUlJSwONJSUnyer0qLi72H2tublZJSYlSU1Ov9LgAACAMObozM2PGDK1Zs0b//Oc/FR0d7b9GJjY2VpGRkXK5XMrOzlZubq6Sk5OVnJys3NxcRUVFadKkSU6ODgAAwoSjMbNy5UpJ0qhRowKOFxYW6sknn5QkzZs3TydPntT06dNVW1urYcOGaePGjYqOjr7C0wIAgHDkaMwYYy55jsvlUk5OjnJycjp/IAAAYJ2weTcTAABAMIgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAVnP0gyaBruzG+eudHqHDvl461ukRAKDD2JkBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFjN0ZjZunWrxo0bp/j4eLlcLr377rsBjxtjlJOTo/j4eEVGRmrUqFHau3evM8MCAICw5GjMNDY2avDgwSooKDjv48uWLVN+fr4KCgpUVlYmr9ertLQ0NTQ0XOFJAQBAuOru5DfPyMhQRkbGeR8zxmjFihVauHChMjMzJUlFRUXyeDxas2aNpk6deiVHBQAAYSpsr5mprKyUz+dTenq6/5jb7dbIkSNVWlp6wa9rampSfX19wA0AAHRdju7MXIzP55MkeTyegOMej0dVVVUX/Lq8vDwtXry4U2cDuqob5693eoQO+3rpWKdHAOCwsN2ZOcflcgXcN8a0OfZ9CxYsUF1dnf928ODBzh4RAAA4KGx3Zrxer6SzOzRxcXH+4zU1NW12a77P7XbL7XZ3+nwAACA8hO3OTFJSkrxer4qLi/3HmpubVVJSotTUVAcnAwAA4cTRnZnjx4/rv//9r/9+ZWWldu3apd69e+uGG25Qdna2cnNzlZycrOTkZOXm5ioqKkqTJk1ycGoAABBOHI2ZTz/9VKNHj/bfnz17tiQpKytLq1at0rx583Ty5ElNnz5dtbW1GjZsmDZu3Kjo6GinRgYAAGHGZYwxTg/Rmerr6xUbG6u6ujrFxMSE/PltfPcH0JXwbiaga+rI399he80MAABAexAzAADAasQMAACwGjEDAACsRswAAACrETMAAMBqxAwAALAaMQMAAKxGzAAAAKsRMwAAwGrEDAAAsBoxAwAArObop2YDwOWy8cNe+XBMILTYmQEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNWIGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFbr7vQAAHC1uXH+eqdH6LCvl451eoQO49/z1YOdGQAAYDViBgAAWI2YAQAAViNmAACA1YgZAABgNWIGAABYjZgBAABWI2YAAIDViBkAAGA1YgYAAFiNmAEAAFYjZgAAgNX4oEkAAMIEH44ZHHZmAACA1ayImRdeeEFJSUm69tprNWTIEH3yySdOjwQAAMJE2MfMG2+8oezsbC1cuFDl5eW65557lJGRoQMHDjg9GgAACANhHzP5+fmaMmWKnnnmGf30pz/VihUrlJCQoJUrVzo9GgAACANhfQFwc3OzduzYofnz5wccT09PV2lp6Xm/pqmpSU1NTf77dXV1kqT6+vpOmbG16USnPC8AhJPO+n9oZ+L/z1dGZ/23ce55jTGXPDesY+bo0aNqaWmRx+MJOO7xeOTz+c77NXl5eVq8eHGb4wkJCZ0yIwBcDWJXOD0BwlVn/7fR0NCg2NjYi54T1jFzjsvlCrhvjGlz7JwFCxZo9uzZ/vutra369ttvdf3111/wa4JVX1+vhIQEHTx4UDExMSF9bnQO1sw+rJmdWDf7hNuaGWPU0NCg+Pj4S54b1jHTp08fdevWrc0uTE1NTZvdmnPcbrfcbnfAseuuu66zRpQkxcTEhMXCo/1YM/uwZnZi3ewTTmt2qR2Zc8L6AuCIiAgNGTJExcXFAceLi4uVmprq0FQAACCchPXOjCTNnj1bTzzxhIYOHarhw4fr5Zdf1oEDBzRt2jSnRwMAAGEg7GNmwoQJOnbsmP7whz+ourpaKSkpev/995WYmOj0aHK73Vq0aFGbH2shfLFm9mHN7MS62cfmNXOZ9rznCQAAIEyF9TUzAAAAl0LMAAAAqxEzAADAasQMAACwGjETpBdeeEFJSUm69tprNWTIEH3yySdOj4T/l5OTI5fLFXDzer3+x40xysnJUXx8vCIjIzVq1Cjt3bvXwYmvTlu3btW4ceMUHx8vl8uld999N+Dx9qxTU1OTnn32WfXp00c9e/bUL37xCx06dOgK/imuLpdasyeffLLNa+/uu+8OOIc1u7Ly8vJ05513Kjo6Wv369dMjjzyiffv2BZzTFV5rxEwQ3njjDWVnZ2vhwoUqLy/XPffco4yMDB04cMDp0fD/Bg4cqOrqav9tz549/seWLVum/Px8FRQUqKysTF6vV2lpaWpoaHBw4qtPY2OjBg8erIKCgvM+3p51ys7O1jvvvKO1a9dq27ZtOn78uB566CG1tLRcqT/GVeVSayZJDz74YMBr7/333w94nDW7skpKSjRjxgxt375dxcXFOnPmjNLT09XY2Og/p0u81gw67K677jLTpk0LOHbrrbea+fPnOzQRvm/RokVm8ODB532stbXVeL1es3TpUv+xU6dOmdjYWPPiiy9eoQnxQ5LMO++847/fnnX67rvvTI8ePczatWv95xw+fNhcc801ZsOGDVds9qvVD9fMGGOysrLMww8/fMGvYc2cV1NTYySZkpISY0zXea2xM9NBzc3N2rFjh9LT0wOOp6enq7S01KGp8EMVFRWKj49XUlKSJk6cqP3790uSKisr5fP5AtbP7XZr5MiRrF8Yac867dixQ6dPnw44Jz4+XikpKaylg7Zs2aJ+/fppwIAB+tWvfqWamhr/Y6yZ8+rq6iRJvXv3ltR1XmvETAcdPXpULS0tbT7o0uPxtPlATDhj2LBhWr16tT788EO98sor8vl8Sk1N1bFjx/xrxPqFt/ask8/nU0REhHr16nXBc3BlZWRk6O9//7s2bdqk5557TmVlZbrvvvvU1NQkiTVzmjFGs2fP1ogRI5SSkiKp67zWwv7jDMKVy+UKuG+MaXMMzsjIyPD/86BBgzR8+HDddNNNKioq8l+MyPrZIZh1Yi2dM2HCBP8/p6SkaOjQoUpMTNT69euVmZl5wa9jza6MmTNnavfu3dq2bVubx2x/rbEz00F9+vRRt27d2tRoTU1Nm7JFeOjZs6cGDRqkiooK/7uaWL/w1p518nq9am5uVm1t7QXPgbPi4uKUmJioiooKSayZk5599lm999572rx5s/r37+8/3lVea8RMB0VERGjIkCEqLi4OOF5cXKzU1FSHpsLFNDU16YsvvlBcXJySkpLk9XoD1q+5uVklJSWsXxhpzzoNGTJEPXr0CDinurpan3/+OWsZJo4dO6aDBw8qLi5OEmvmBGOMZs6cqXXr1mnTpk1KSkoKeLzLvNYcu/TYYmvXrjU9evQwr776qvnPf/5jsrOzTc+ePc3XX3/t9GgwxsyZM8ds2bLF7N+/32zfvt089NBDJjo62r8+S5cuNbGxsWbdunVmz5495tFHHzVxcXGmvr7e4cmvLg0NDaa8vNyUl5cbSSY/P9+Ul5ebqqoqY0z71mnatGmmf//+5qOPPjI7d+409913nxk8eLA5c+aMU3+sLu1ia9bQ0GDmzJljSktLTWVlpdm8ebMZPny4+fGPf8yaOejXv/61iY2NNVu2bDHV1dX+24kTJ/zndIXXGjETpL/+9a8mMTHRREREmDvuuMP/Njc4b8KECSYuLs706NHDxMfHm8zMTLN3717/462trWbRokXG6/Uat9tt7r33XrNnzx4HJ746bd682Uhqc8vKyjLGtG+dTp48aWbOnGl69+5tIiMjzUMPPWQOHDjgwJ/m6nCxNTtx4oRJT083ffv2NT169DA33HCDycrKarMerNmVdb71kmQKCwv953SF15rLGGOu9G4QAABAqHDNDAAAsBoxAwAArEbMAAAAqxEzAADAasQMAACwGjEDAACsRswAAACrETMAAMBqxAwAALAaMQMAAKxGzAAAAKsRMwAAwGr/B1oX38H9tP9dAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['AST'].plot.hist()\n",
    "assists_distro = \"right skewed\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba[\"FT%\"].plot.hist()\n",
    "ft_percent_distro = 'left skewed'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Symmetrical Distributions\n",
    "\n",
    "A very common symmetrical distribution is one where the values pile up in the middle and gradually decrease in frequency toward both ends of the histogram. This pattern is specific to what we call a __normal distribution__ (also called __Gaussian distribution__).\n",
    "\n",
    "![normal](img/s1m4_normal.svg)\n",
    "\n",
    "\n",
    "Another common symmetrical distribution is one where the values are distributed uniformly across the entire range. This pattern is specific to a __uniform distribution__\n",
    "\n",
    "![uniform](img/s1m4_uniform.svg)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba['Weight'].plot.hist()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouped Bar Plot"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can generate a grouped bar plot using the `seaborn.countplot()` function from the seaborn module"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Generate the plot with `sns.countplot()`. We'll use the following parameters for this function:\n",
    "\n",
    "+ `x` — specifies as a string the name of the column we want on the x-axis. We'll place the Exp_ordinal column on the x-axis.\n",
    "+   `hue` — specifies as a string the name of the column we want the bar plots generated for. We want to generate the bar plots for the Pos column.\n",
    "+ `data`- specifies the name of the variable which stores the data set. We stored the data in a variable named wnba.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Team', ylabel='count'>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'Team', hue = 'Pos', data = wnba)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DO older players play less?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When players get past a certain age, they become less and less physically fit as they get older. Intuitively, the fitness level of a player should directly affect how much she plays in a season. On average, a WNBA player played approximately 497 minutes in the 2016-2017 season:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "496.97202797202794"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wnba['MIN'].mean()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's hypothesize that older players generally play less than this average of 497 minutes, while younger players generally play more. As a benchmark to distinguish between younger and older players, we'll take the mean age of players in our sample, which is approximately 27:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27.076923076923077"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wnba['Age'].mean()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To answer the question\n",
    "\n",
    "\n",
    "An ordinal variable which labels each player as \"young\" or \"old\". If the player is 27 or over, we'll label her \"old\", otherwise the label is \"young\".\n",
    "\n",
    "An ordinal variable which describes whether the minutes played is below or above average (or equal to the average). If a player played 497 minutes or more, we'll assign her the label \"average or above\", otherwise we'll assign \"below average\".\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the code below, we'll use lambda functions to describe quickly the labeling logic above and Series.apply() to apply the lambda functions on the Age and MIN columns. We'll name the two resulting columns age_mean_relative and min_mean_relative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "wnba['age_mean_relative'] = wnba['Age'].apply(lambda x: 'old' if x >= 27 else 'young')\n",
    "wnba['min_mean_relative'] = wnba['MIN'].apply(lambda x: 'average or above' if x >= 497 else\n",
    "                                           'below average')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Generate a grouped bar plot to confirm or reject our hypothesis. Using sns.countplot():\n",
    "\n",
    "+ Place the age_mean_relative variable on the x-axis. The age_mean_relative and min_mean_relative are already defined.\n",
    "+ Generate the frequency distributions for the min_mean_relative variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='age_mean_relative', ylabel='count'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x = 'age_mean_relative', hue = 'min_mean_relative', data = wnba)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Comparing Histograms"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The easiest way to compare two histograms is to superimpose one on top of the other rather converting the variables to categorical as above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba[wnba.Age >= 27]['MIN'].plot.hist(label = 'Old', legend = True)\n",
    "wnba[wnba.Age < 27]['MIN'].plot.hist(label = 'Young', legend = True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now see that most of the old players that belong to the \"average or above\" category play significantly more than average. The main downside of the visualization above is that the histogram for young players covers a large part of the other histogram. We can fix this easily by plotting only the shape of the histograms. We can do this using the histtype parameter and choose the 'step' type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba[wnba.Age >= 27]['MIN'].plot.hist(histtype = 'step', label = 'Old', legend = True)\n",
    "wnba[wnba.Age < 27]['MIN'].plot.hist(histtype = 'step', label = 'Young', legend = True)\n",
    "plt.axvline(x=497, label=\"Average\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Kernel Density Estimate plots"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Histograms can be smoothened by  `Series.plot.kde()` function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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P+pCm7rT3dSXPaGLN4QStwxFl8Pb25oknnqBDhw7cc889HDt2jPDw8GIlM2655RYyMzO5cOFCpY7duXNn87azszOurq4kJSUBcOLECXr27Fmsfa9evapxJbVHeqSEENVnzIeryaCYQG8DDu5gWzfuWKqPluyK5fLVPAIaOzKqqwY9IWW4u6s/x/84wcoDcYztpX0vWa2xdVJ7h7Q4bxXY2NhgY6OmB0opS6wpNyzNptfrS6ynmJ+fXzIc2+K9kDqdDpPJdNPzWDtJpIQQlZcaA8dXw7ktEH8A0kv5y9TVH7xaQ0BvCOwDgbeAjV2th9rQ5BYY+WLzGQCeHtgaG4P2vVFF7u7iz7//OMHO6MskpGXj5+6odUi1Q6er9BCbtQgODmb58uXFEp3t27fj6upK06ZNAWjSpAkJCdd6GdPT04mOrlwB1vbt27N69epi+/bs2VPN6GuH9XyHCSGsm6LAyT9h8Uj4sBP8MR2O/3YtidLpQX/dX5wZ8RC9GTb/G74ZBf9pDSuegnPbKj0JVlTcT3svcDE9F183B+7t3lTrcIpp5uFEzxYeKAr8FiXDe3XB008/TWxsLM899xzHjx/nl19+4Y033mDatGnm+VG33nor33zzDVu2bOHw4cNMnDgRg6FyNzc8+eSTHD9+nOnTp3Py5El++OEHFi1aBFBrlfirSnqkhBA3F7cX/ngFYncU7tBB83BoNwyahoJXO3DyBL1eTZKyUuDKOUg8BDGRcGYDXE2CqO/Vh3dHCHsCujwANvZaXlm9km80MW+j2hv15ICW2Ntod6deWUZ2bcruc1f4JSqOx/u31DoccRNNmzZl9erVvPTSS3Tp0oXGjRvz6KOP8tprr5nbzJw5k7Nnz3LnnXfi7u7OO++8U+keqaCgIH766SdeeOEFPvroI8LDw3n11Vd56qmnsLe37p8RUtm8Bkllc1HnFeTBxtmw7UN1/pONI/R8FHo9AR6BFT+OyQixOyFqKRz6Ub2LCcA9APq/CF3HgcF67+KqK5XNi6qYe7nYseXlWzUteVCWlMxcer67HpMCW6cPoplH1ebxWKu6WNncWr377rvMnz+f2NjYGjm+VDYXQtSsjIuwcDhsfV9NojqNgef3wdB3K5dEAegN6jypuz+Gacdg6Hvg6gdpsfDrZPgsDE6tq5nraCCMJoW5G9S6UY/1a2mVSRSAp4s9PVo0BuDPIxc1jkZYk7lz57J7927Onj3LN998w//93/8xceJErcO6KUmkhBAlXTwK/7sV4vaAQyMYsxhG/w/cLHAHmGMjCH8Gnt8Pw/4Fzk3g8hn47j74bgyknKn+ORqgtUcSOZt8FXdHW/7Ru5KJbi0b1tEXgD+PJGocibAmp06dYuTIkQQHB/POO+/wwgsvFKuObq0kkRJCFJd4CBbdoU4i92wDj/8NwSMtfx5bR+j9FDy3D/o8p5ZNOPUnzOsD2z5WhwNFhSiKwueb1bpRE8IDcbG3zqHHIkM6+gCw59xlUjJzNY5GWIsPPviA+Ph4cnJyOHnyJLNmzTKXYbBmkkgJIa65eBS+vguyL4N/d3hsHXi2qtlzOrjBkH/CU5HQciAU5MC6WbBgMCQdr9lz1xN7z1/hQGwqdgY9EzRcU6+imnk4EdLUDZMC64/J8J6o2ySREkKo0hPgu/sh+wo07QETVoKjR+2dv0lbGL8S7v4U7N3VOwU/7wdbP5DeqZsoqmJ+b/emNHG17jucihQN7/1xWIb3RN0miZQQAvKzYcnYa8N5435Uq5PXNp0Ouo+HZ3ZAm6FgzIP1b6q1q9Liaj+eOiA6+Sprj6q9Oo/1C9I4moobWphIbTudQmZugcbRCFF1kkgJIeCPmZBwQK0FNe4HcGqsbTxu/vDgMhj5Gdg6qxXU5/WBo79oG5cVWrD1LIoCt7b3prW3q9bhVFhrbxdaeDqRZzSx7XSy1uEIUWWSSAnR0B1eDnsXAjoYvQAaW0mRRJ0Ouv0DJm0B/26Qkwo/TIBVz0HeVa2jswopmbn8uEetLP94Pyv53CpIp9MxsJ03ABtPXNI4GiGqThIpIRqyK+dg1WR1u98L0GqQpuGUyrMVPLIW+k4FdLBvMXzeH+L3ax2Z5r7dEUNugYlOTd3p3VLjXsQqGNCuCQCbTiTVmQVqhbiRJFJCNFSKAr9OgbwMdbmXgTO1jqhsNnZw+5swcZW6GHLKafhyMGz9EApXj29ocvKNLI48B6hzo6x9PbLShLf0xN5GT3xaDicvZmodjhBVIomUEA1V1FI4uwFsHNS5SAbrr9dCUH94aht0uAtM+bD+DXVB5PR4rSOrdSv2x5FyNY+mjRwZ0clP63CqxMHWQHgrTwA2nkjSOBpRZPv27RgMBoYNG6Z1KHWCJFJCNESZl+DPwh6oAdNrvlaUJTk1hjHfwF0fga0TRG9SJ6If+03ryGqNyaSYSx48fEsLbA1190f5wLbq8J7Mk7IeX331Fc899xxbt24lJiamxs5jNBox1YMe5br73SeEqLq/3lLrRfl0UquK1zU6HYQ+BE9uBr8u6rUsG6eu29cAJqL/fTyJs5eu4upgw9hezbUOp1qKJpzvPneZjJx8jaMRV69e5YcffuCpp57izjvvZNGiRQCEh4czY8aMYm0vXbqEra0tGzZsACAvL4+XX36Zpk2b4uzsTFhYGBs3bjS3X7RoEY0aNeK3334jODgYe3t7zp8/z+7duxk8eDBeXl64u7szYMAA9u3bV+xcx48fp2/fvjg4OBAcHMz69evR6XSsXLnS3CYuLo6IiAg8PDzw9PRk5MiRnDt3ria+TMVIIiVEQ5N4GPZ/q27f8V8w2GobT3V4tYFH10Of59X/37sIvhgICVFaRlXjvijsjXqwV3OrXw7mZlp4ORPk5UyBSWHb6RStw6kRiqKQlVdQ64+qTOBftmwZ7dq1o127dvzjH/9g4cKFKIrCuHHjWLJkSbFjLlu2DB8fHwYMGADAww8/zLZt21i6dCkHDx7k/vvvZ9iwYZw6dcr8nqysLGbPns2XX37JkSNH8Pb2JiMjg4kTJ7JlyxZ27NhBmzZtGDFiBBkZGQCYTCZGjRqFk5MTO3fu5IsvvuDVV18tFndWVhaDBg3CxcWFzZs3s3XrVlxcXBg2bBh5eXlV+dgqrG5/BwohKm/d64ACwaOgeZjW0VSfjR0MeQda3QorJkHySfjfbTBwBtwyuW4niqWIik1lV/RlbPQ6HrqlhdbhWES/Nl5EJ19l+5lkhoX4ah2OxWXnGwl+/c9aP+/Rt4fiZFe5X/MLFizgH//4BwDDhg0jMzOTv/76i4iICKZOncrWrVvp168fAN9//z0PPvgger2eM2fOsGTJEi5cuIC/v7q4+Ysvvsgff/zBwoULee+99wDIz89n7ty5dOnSxXzOW2+9tVgMn3/+OR4eHmzatIk777yTtWvXcubMGTZu3Iivr/rv491332Xw4MHm9yxduhS9Xs+XX35pvvFi4cKFNGrUiI0bNzJkyJBKfR0qQ3qkhGhITq+HM3+B3hZuf0PraCyr1SB4aju0u0OdiP73O/C/QfWud6pobtRdXfzxc3fUOBrL6NPKC0AKc2rsxIkT7Nq1i7FjxwJgY2NDREQEX331FU2aNGHw4MF89913AERHRxMZGcm4ceMA2LdvH4qi0LZtW1xcXMyPTZs2cebMGfM57Ozs6Ny5c7HzJiUlMWnSJNq2bYu7uzvu7u5kZmaa52edOHGCgIAAcxIF0KtXr2LH2Lt3L6dPn8bV1dV87saNG5OTk1Ps/DVBeqSEaCgUBf56W93u9YT1FN60JGdPGPsdHFwGf8yAxEPwxSC1Z2rAdLB10DrCarlwJYs1hWvT1bUCnOUJb+mJXgdnLl0lMS0HX/e6/TndyNHWwNG3h2py3spYsGABBQUFNG3a1LxPURRsbW25cuUK48aNY/LkyXzyySd8//33dOzY0dyzZDKZMBgM7N27F4Oh+HldXFyuxeToWKJUx0MPPcSlS5f48MMPCQwMxN7envDwcPOQnKIoNy3vYTKZCA0NNSd612vSpEmlvg6VJYmUEA3FqbVq74yts1p8s77S6aDLWHWob83LcGQFbH0fjq6Eoe9B22Fqmzpo0bZzGE0Kt7T2JNjfTetwLMbdyZaQpu4cvJDG9jPJ3Nu9mdYhWZROp6v0EFttKygoYPHixfz3v/8tMQw2evRovvvuOx5++GGefPJJ/vjjD77//nvGjx9vbtOtWzeMRiNJSUnmob+K2rJlC3PnzmXEiBEAxMbGkpx8rXeyffv2xMTEcPHiRXx8fADYvXt3sWN0796dZcuW4e3tjZtb7X5vyNCeEA2BosCmf6vbPR9Re27qOxdvuH8RRHwHLr5w+ay6MPO3o+HSCa2jq7T0nHyW7o4F4LG+9ac3qsi14b36OeHc2v32229cuXKFRx99lJCQkGKP++67jwULFuDs7MzIkSOZNWsWx44d48EHHzS/v23btowbN44JEybw888/Ex0dze7du5kzZw6rV68u99ytW7fmm2++4dixY+zcuZNx48bh6Hht2Hrw4MG0atWKiRMncvDgQbZt22aebF7UUzVu3Di8vLwYOXIkW7ZsITo6mk2bNjF58mQuXLhQA1+xaySREqIhOLsB4vaoxTfD62C5g+rocCc8t0ddYsZgp84Rm9cHVj0PqTVXI8fSftgdS2ZuAa29XRjQtmaHKrRwS2s1ud9+JlmWi9HAggULuP3223F3dy/x2ujRozlw4AD79u1j3LhxREVF0a9fP5o3L156Y+HChUyYMIEXXniBdu3acffdd7Nz504CAgLKPfdXX33FlStX6NatG+PHj+f555/H29vb/LrBYGDlypVkZmbSs2dPHnvsMV577TUAHBzUYWAnJyc2b95M8+bNuffee+nQoQOPPPII2dnZNd5DpVPkX2yNSU9Px93dnbS0tFrvahSimIUj4Pw2CJsEw+doHY12Us7A2tfgROFfyHpb6D4B+k0D97KHk7LyCsx3XVXlTqjqKjCaGPB/G4lLzeZf93aq87WjSpOdZ6TLW2vJM5r4+4UBtGzicvM3WaGcnByio6MJCgoy/5IXlrdt2zb69u3L6dOnadWqagWFy/usKvP7W3qkhKjv4verSZTe9lq9pYbKsxU8sAQe+ROCBqh39+1ZAB91gZ8ehQt7tY6wVKsPJxKXmo2nsx2jujW9+RvqIEc7A90DGwGw7YwM74niVqxYwbp16zh37hzr16/niSee4JZbbqlyEmVJkkgJUd/tmK8+d7wH3OvnL+FKa95bXQD5od+hRT8wFcDhn+DLW+HL22HfYshJ1zpKQL1j6cvCkgfjwwNxqOSdWHXJLYXzpHZIIiVukJGRwdNPP0379u156KGH6NmzJ7/88ovWYQFy154Q9VtGIhxerm73nqRtLNaoRV946Df1bsYd89Vk6sJu9bH6JWh/J3R5AJrdolmIu89d4eCFNOxs9Pyjd6BmcdSGsJbqPKld5y5X6JZ30XBMmDCBCRMmaB1GqaRHSoj6bM9X6vBVs17QNFTraKyXXxe4Zx5MPQK3vQFebaEgR02svhsNH3a61ja3dtfyK+qNGt29KV4u9rV67trWuZk7dgY9lzJyOZeSpXU4QlSIJFJC1FcFubB7gbrd+yltY6krXLzViefP7ILH/1YLlzp5FR/m+6AjfB8Be7+GjIs1Gk508lXWHVPP8WjfoBo9lzVwsDXQNaARALuiZXhP1A0ytCdEfXX8N8hKBld/6HCX1tHULTqd2oPXNBSG/Quid8H/LquvGfPg5B/qAx006wHthqtL0zRpZ9Fin19tjUZRYFC7JrT2drXYca1Zr6DG7Dp3mZ3Rl4noWXfvTpQb4q2fpT4j6ZESor7at1h97vaPerdwb63SGyCg57X/f/wvuPU18O8OKOp8qr/ehrlh8El3+PNVOLcNTMZqnTY1K48f96oFOOvTcjA30yuoMQC7z13WOJKqsbVVv9eysmRo0toVfUZFn1lVSY+UEPXRlXNwdiOgUxMpYTneHaBZJ+j/EqTHw4k16iN6k1o9PfJT9eHWDLqNg64PgkeLSp/mu50x5OSbCPZzI7xVA6hEX6h7oAd6HcReziY+NRv/RnVrYWaDwUCjRo1ISkoC1EKRMmneuiiKQlZWFklJSTRq1KjE2oCVJYmUEPXR/m/V55YDwaN+3+mlKTd/6Pmo+sjNgNN/qUnVyTWQfgE2zVEfrW5Va3i1HFihob+cfCOLtp8D4LF+QQ3qF7GLvY153b3d5y4zsmvdK9nh6+sLYE6mhHVq1KiR+bOqDkmkhKhvTEbYX7gCenfrvF24XrJ3hY6j1Ed+jjpHbd9itafqzN/qw78b9J2mzlkrJzn6eV8clzJy8Xd34M7O/rV2CdaiV4vGHLyQxs7ouplI6XQ6/Pz88Pb2Jj8/X+twRClsbW2r3RNVRBIpIeqbM39DRjw4Nob2d2gdTcNk6wCd7lMfl6Nhxzw1qYrfDz+Mh4AwGDobmpUsSWE0KXyx+QwAj/ZriZ1Nw5vK2jOoMV9ujWZ3dN2cJ1XEYDBY7Je1sF4N7ztUiPru4A/qc6f7wKZ+1x2qExoHwYh/w5RD0O8FsHWC2J1qFfWVT0P2lWLN/zicyLmULBo52TK2Z/mLvdZXPVuoE85PJWWSkpmrcTRClE/zRGru3LnmBQNDQ0PZsmVLue03bdpEaGgoDg4OtGzZkvnz55dos3z5coKDg7G3tyc4OJgVK1YUe33z5s3cdddd+Pv7o9PpWLlyZYljKIrCm2++ib+/P46OjgwcOJAjR45U61qFqHF5V+H47+p2pzHaxiKKc2kCt70Oz+2FruMAHRz4Dj7rrc6rQv25M2/TaQAmhrfA2b5hDho0drajrY+6aPGe81du0loIbWmaSC1btowpU6bw6quvsn//fvr168fw4cOJiYkptX10dDQjRoygX79+7N+/n1deeYXnn3+e5cuXm9tERkYSERHB+PHjiYqKYvz48YwZM4adO3ea21y9epUuXbrw6aeflhnbv//9b95//30+/fRTdu/eja+vL4MHDyYjI8NyXwAhLO3EGsi/Ch5Ban0jYX3c/GHUXHh0LXi2hsxEWDIWfpvKthNxHI5Lx9HWwMQ+LbSOVFOhgR4A7IuRREpYN52iYdWwsLAwunfvzrx588z7OnTowKhRo5g9e3aJ9tOnT2fVqlUcO3bMvG/SpElERUURGRkJQEREBOnp6axZs8bcZtiwYXh4eLBkyZISx9TpdKxYsYJRo0aZ9ymKgr+/P1OmTGH69OkA5Obm4uPjw5w5c3jyyScrdH3p6em4u7uTlpaGm5tbhd4jRLV8H6EWiuz/Mtz6qtbR1BtZeQUEv/4nAEffHoqTnYV6ivKzYcO7sP0TAE7btmNCxjMMvaUHb9zV0TLnqKN+2BPLyz8dpFeLxvwwKVzrcEQDU5nf35r1SOXl5bF3716GDBlSbP+QIUPYvn17qe+JjIws0X7o0KHs2bPHfGdEWW3KOmZpoqOjSUxMLHYce3t7BgwYUO5xcnNzSU9PL/YQotZcTYHT69XtTvdrG4uoGFtHGPJPePBHCuzcaZ1/gt/sX+Wp1tIL07252iN1MC6VfKNJ42iEKJtmiVRycjJGoxEfH59i+318fEhMTCz1PYmJiaW2LygoIDk5udw2ZR2zrPMUva8yx5k9ezbu7u7mR0BAw5woKjRydCWYCtQFeJu01ToaURlth/CG3zwOmVrQWJeB9/L7zPOmGqqWXs64OdiQk2/iWIL8USqsl+aTzW8sNKcoSrnF50prf+P+yh7TUrHNnDmTtLQ08yM2NrbS5xSiyo6tUp9DRmsbh6i0E4kZfH8SIvJe52rzQVCQDUsfhH3faB2aZvR6Hd0Ke6X2x6RqG4wQ5dAskfLy8sJgMJTo4UlKSirRE1TE19e31PY2NjZ4enqW26asY5Z1HqDSx7G3t8fNza3YQ4hakXUZogvveJUFiuucj/8+haLAwE4tcJ74o7qsj2KCVc9eWzOxASoa3pMJ58KaaZZI2dnZERoayrp164rtX7duHX369Cn1PeHh4SXar127lh49epgXHSyrTVnHLE1QUBC+vr7FjpOXl8emTZsqdRwhas2JNaAYwacTNG44C9zWBycvZrD6UAIAz9/WRl1g+u5PIewptcGq568t+dPAdA9sBEgiJaybpkVKpk2bxvjx4+nRowfh4eF88cUXxMTEMGnSJEAdKouLi2PxYvUvskmTJvHpp58ybdo0Hn/8cSIjI1mwYEGxu/EmT55M//79mTNnDiNHjuSXX35h/fr1bN261dwmMzOT06dPm/8/OjqaAwcO0LhxY5o3b45Op2PKlCm89957tGnThjZt2vDee+/h5OTEgw8+WEtfHSEq4div6rP0RtU5H/+l9kYND/GlvW9hL7ZOB8Nmq71Suz6HX54Fm8Jq6Q1I14BG6AoXML6UkUsTVykwK6yPpolUREQEKSkpvP322yQkJBASEsLq1asJDFQXWU1ISChWUyooKIjVq1czdepUPvvsM/z9/fn4448ZPfranJA+ffqwdOlSXnvtNWbNmkWrVq1YtmwZYWFh5jZ79uxh0KBB5v+fNm0aABMnTmTRokUAvPzyy2RnZ/P0009z5coVwsLCWLt2La6urjX5JRGi8nIz1GVhQBKpOubUxQx+v7436no6HQyfo/Y07v4SVkwCF28I6q9BpNpwdbClrbcrJy5msC/mCkM7Vn+BWSEsTdM6UvWd1JESteLwz/DTw9C4lVo1uwo3Vojy1VQdqeeW7OfXqHiGdfRl/viS6+4BYDKpn+/RlWDvBo/8AT4Np8bUzJ8PsmRXLJMGtGLG8PZahyMaiDpRR0oIYSHXD+tJElVnnLqYwW8H44FSeqOup9fDPZ9D4C2Qmw7f3gcZF2spSu11kwnnwspJIiVEXZafA6fWqtsd7tY2FlEpH6w/iaLA0I4+BPvfpMfa1gHGfgde7SAjHn4YDwV5tROoxro3bwTAwQtSmFNYJ0mkhKjLzm2FvExw9QP/blpHIyroQGwqqw8lotPB1MEVLJ7q6AEPLAF7d4jdCWtertkgrURLLxdzYc7jCbLWqbA+kkgJUZcV9Ua1GaIOAQmrpygKc9YcB+Cebk2v3alXEZ6t4L4FgA72LoQ9C2smSCtyfWFOGd4T1kh+8gpRVykKnFInQNN2qLaxiArbfCqZyLMp2Bn0TKtob9T12gyG22ap26tfgvj9lg3QCnUNaARA1IVUTeMQojSSSAlRV6WchivnwGAHQQO0jkZUgMl0rTdqfHggzTycqnagvtOg/Z1gyoefHlFLYNRjXQLcATh4IU3jSIQoSRIpIeqqk4W9UYG3gL2LtrGICvn1YDxHE9JxtbfhmUGtq34gnQ5GfgruAXD5LPw2Te2hrKc6N2sEwJlLmWTmFmgbjBA3kERKiLrq+vlRwupl5xn59x8nAHiif0saO9tV74COHjD6S9AZ4NAPELXk5u+po7xc7GnayBFFgUPSKyWsjCRSQtRFuRlwfru6LfOj6oTPN58hLjUbf3cHHutnofUQm/eGQTPV7d9fhJQzljmuFercTB3eOxSXqm0gQtxAEikh6qKzG9X5MY1bqndyCasWl5rN/E1qkvPKHR1wtDNY7uB9p0GLfpB/FVY+DSaj5Y5tRYqG96KkR0pYGUmkhKiLiuZHtZHeqLrgvdXHyMk3ERbUmDs6+Vn24HoDjJoLdq4QuwN2zLXs8a1EUY/UQblzT1gZSaSEqGsU5doixW1u1zYWcVM7zqbw+8EE9Dp4466O6GpiGZ9GzWHou+r2X+9A0nHLn0NjIU3VRCr2cjaXrzaMqu6ibpBESoi6JvkUpMeBwV69Y09YrXyjiTdXHQHggV7Nb74UTHV0nwCtB4MxF1Y+Bcb6dXebu6MtLb2cAemVEtZFEikh6pqzG9Xn5mFg66hpKKJ8X2w+y/HEDDycbHlhSLuaPZlOB3d/DA7uEL8Ptn1Qs+fTwLXhPZknJayHJFJC1DVnN6jPLQdpG4co19lLmXz01ykAZt0ZXP1yBxXh5g/D/61ub/o/SD5d8+esRUUTziWREtZEEikh6hJjAURvUbdbDtQ0FFE2RVF4ZcUh8gpM9GvjxT3dmtbeyTtHQKtb1SG+36bUq0Kd1yqcp2obiBDXkURKiLokbi/kZajFGP26aB2NKMPS3bHsOHsZR1sD793TqWYmmJdFp4M73gcbRzi3BQ58X3vnrmHBfu4Y9DqSMnJJTMvROhwhAEmkhKhbiuZHBfVXb3sXVud8ylXe+e0oAC8MaUtA4yqup1cdjYNg4Ax1e+2rcDW59mOoAY52Btp4q8shyQLGwlpIIiVEXSLzo6xagdHE1GUHyMoz0iuoMQ/fEqRdMOHPgE8nyL4Cf76iXRwW1sU8TypV0ziEKCKJlBB1RW4GXNitbsv8KKs0f9MZ9sWk4mpvw/tjumDQ1+KQ3o0MtnDXR4AODi67VnusjuscIHfuCesiiZQQdcW5bWAqAI8W6tCNsCr7Yq7w4Xr1Lr23RnakmYcGQ3o3ahYKYU+q27+/CAW52sZjAV2uu3NPqUcT6UXdJYmUEHXFucK79YL6axuHKCElM5dnvttHgUnhzs5+tXuX3s0MehVcfODyGYj8TOtoqq2dryt2NnrSsvOJuZyldThCSCIlRJ1xbqv63EISKWtiNClMXnqAhLQcWjZxZva9tXyX3s04uMHgd9Ttzf8HaXHaxlNNtgY97X1dATgSn65xNEJIIiVE3ZCTBokH1e0WsiyMNflg3Um2nk7G0dbA/H+E4upgq3VIJXUeA83DIT8L1r6mdTTV1tFfnSd1OE7mSQntSSIlRF0QswMUE3gEqdWrhVVYuT+OTzeo1cP/NboTbX1cNY6oDDqdWvFcp4cjP0P0Zq0jqpaQpuqahdIjJayBJFJC1AXmYT3pjbIWO8+m8PJPai/hE/1bMrKrFc2LKo1fZ+jxqLq9+mUw5msbTzWEXNcjJRPOhdYkkRKiLji/TX1u0U/bOAQAZy5l8sQ3e8kzmhge4suMYe21DqliBr0CTp5w6Rjs+p/W0VRZO19XDHodKVfzuJhe9+9EFHWbJFJCWLvcDIg/oG4HSo+U1i5czuYfX+4kLTufbs0b8UFEV/Ra1ouqDKfGcNsb6vbG2ZB5Sdt4qsjB9lqFc5knJbQmiZQQ1i52JyhGaNQcGgVoHU2DN3HhLhLScmjt7cKXE3rgYFvHlurpNh78u0FuOmx8T+toqsw84TxeEimhLUmkhLB2RfOjAvtqG4cAICEthxaeTnz/WBieLvZah1N5ej0MLUyg9i6Ci0c1DaeqiiacH46TCedCW5JICWHtzhXNj5JESiunkjLN2009HPj+8d54uzloGFE1BfaBDnerd4LW0XIIIU3VHqkj0iMlNCaJlBDWLO8qxO9Tt+WOPU3sOXeZf/xvh/n/v344DP9GjhpGZCGD3wKDHZz5C06t0zqaSuvg54ZOp/YQpmTKhHOhHUmkhLBmsbvU9fXcmkGjQK2jaXB+2BPLg1/uJCPXaN7n36gO90Rdr3HLa+vw/fkqGAu0jaeSXOxtCPJ0BqSelNCWJFJCWDNz2YNb1KKKolbkFZh4dcUhXv7pIHkFJga189Y6pJrR70W1HELyCdi3SOtoKq1jU5lwLrQniZQQ1ix2p/rcPFzbOBqQUxczGD1vO9/tjEGng2mD2/LJA121DqtmODaCgTPV7Q3vQXaqltFUWoh/YYVzmXAuNCSJlBDWylgAF/aq2wFh2sbSABhNCl9uOcsdn2zlUFwa7o62fDWxJ8/f1qbu1ImqitCHwasdZKXAlv9qHU2lhEiPlLACkkgJYa0uHoL8q+DgDk3qSOXsOmrv+cuM+mwb//z9GHkFJga2a8Laqf0Z1L6eDuldz2ADQ/6pbu+cD5ejtY2nEjoW9kidT8kiLbvuLnkj6jZJpISwVrG71OdmvdTaP8LiYlKymLrsAKPnRXIoLg1Xextm39uJhQ/1xKculzeorDaDodWtYMyDv/+pdTQV1sjJjqaFd1AelQnnQiM2WgcghChDTOEt9zKsZ3Hnkq8yd+Nplu+Lw2hS0OlgTGgALw1rh1ddLLJZXTod3P4WnPkbDv8EtzwPfl20jqpCQpq6EZeazZH4NMJbeWodjmiAJJESwloV9Ug1l0TKEowmhU0nk1gceZ5NJy+hKOr+AW2b8MKQtnRu1kjT+DTn1xk63Q+HfoT1b8L4FVpHVCEh/u78eeSilEAQmpFESghrlHYB0i+AzgBNQ7WOps5SFIUj8en8GhXPbwcTiEvNNr82qF0TnrutDd2be2gYoZUZ9CocWan2TJ3dCC0HahzQzZknnMvixUIjkkgJYY2KhvV8O4Gds7ax1DEZOfnsOHuZLacusenkJc6nZJlfc3OwYUyPAP7RO5AWXvJ1LaFxEPR4BHZ9DuvegMc3WP38vI6Fa+6duZRJVl4BTnbya03ULvkXJ4Q1Mg/r9dY2DiunKArnU7I4EJvKgdhU9semciQujQKTYm7jYKvntvY+3NnZj0HtvXGwNWgYcR3Q/yU48B0kHICjKyHkXq0jKpe3qwNNXO25lJHL8cQM6WEUtU7zPzXmzp1LUFAQDg4OhIaGsmXLlnLbb9q0idDQUBwcHGjZsiXz588v0Wb58uUEBwdjb29PcHAwK1aUHOu/2XkzMzN59tlnadasGY6OjnTo0IF58+ZV72KFqKhYmWh+vYycfA5eSGXl/jjeX3eSZ7/fxx0fb6HjG38y8D8bmbLsAIu2nyMqNpUCk0ILTyfG9w7ki/Gh7H1tMJ+N687wTn6SRFWESxPo85y6/fc7YLT+sgLBfmqvlNy5J7SgaY/UsmXLmDJlCnPnzuWWW27h888/Z/jw4Rw9epTmzZuXaB8dHc2IESN4/PHH+fbbb9m2bRtPP/00TZo0YfTo0QBERkYSERHBO++8wz333MOKFSsYM2YMW7duJSwsrMLnnTp1Khs2bODbb7+lRYsWrF27lqeffhp/f39GjhxZe18k0fDkZkLiYXW7ASVS+UYTMZezOHvpKtHJmZy9dJWzyVeJTr7KpYyyF6W1s9HT0d+NrgGN6BrQiO7NPQho7FSLkddD4c/A7i/h8lnY9zX0fEzriMoV7O/GppOXOJogiZSofTpFUZSbN6sZYWFhdO/evVhPT4cOHRg1ahSzZ88u0X769OmsWrWKY8eOmfdNmjSJqKgoIiMjAYiIiCA9PZ01a9aY2wwbNgwPDw+WLFlS4fOGhIQQERHBrFmzzG1CQ0MZMWIE77zzToWuLz09HXd3d9LS0nBzc6vQe4Tg7CZYfDe4B8DUw1pHY3F5BSZOXszgVFIGp5MyzY/zKVnFhuRu1MTVniAvZ1p6OdOyiTNBXi60bOJMgIcTdjY127melVdA8Ot/AnD07aENYx7Orv/B6hfB2Rue3w/2LlpHVKZfo+J5bsl+ugY0YuUzt2gdjqgHKvP7W7OfBnl5eezdu5cZM2YU2z9kyBC2b99e6nsiIyMZMmRIsX1Dhw5lwYIF5OfnY2trS2RkJFOnTi3R5sMPP6zUefv27cuqVat45JFH8Pf3Z+PGjZw8eZKPPvqozGvKzc0lN/faX87p6fLXkaiCovX16klvVEJaNpFnUoiKTSXqQhpH49PJM5pKbetkZ1CTpSYuxZKmFl7OuDnY1nLkDVz3iRD5KVw5BzvmwYCXtI6oTMGFFc5PJGZgNCkY6vOSPsLqaJZIJScnYzQa8fHxKbbfx8eHxMTEUt+TmJhYavuCggKSk5Px8/Mrs03RMSt63o8//pjHH3+cZs2aYWNjg16v58svv6Rv375lXtPs2bN56623bn7xQpSnjidSeQUmtp1OZuOJJLaeTubMpasl2rg72tLO15XW3i60buKiPnu74OfugE4nvwStgo0d3DoLlj8KkZ9Ar8fVRY6tUAtPZxxs9WTnGzmXcpVWTay390zUP5r3T9/4Q1NRlHJ/kJbW/sb9FTnmzdp8/PHH7Nixg1WrVhEYGMjmzZt5+umn8fPz4/bbby81tpkzZzJt2jTz/6enpxMQEFDmtQhRgskEsbvV7TpUiNNoUthy6hK/HUzgzyOJZOQUmF/T66BTs0b0CPSgczN3ugY0onljJ0mY6oKO98Lm/8ClYxD5Gdz6qtYRlcqg19He140DsakcjU+XRErUKs0SKS8vLwwGQ4nep6SkpBK9RUV8fX1LbW9jY4Onp2e5bYqOWZHzZmdn88orr7BixQruuOMOADp37syBAwf4z3/+U2YiZW9vj719A1xeQlhO8knITQNbJ/DuqHU0N3X5ah4/7Inlu53nib18rdilt6s9twf70L+NF+EtvXB3kmG5Okmvh0Ez4YcJsGMuhE0CZ+tchiXYvzCRSkjnri7+WocjGhDNyh/Y2dkRGhrKunXriu1ft24dffr0KfU94eHhJdqvXbuWHj16YGtrW26bomNW5Lz5+fnk5+ejv6EQncFgwGQqfW6HEBYRt0d99u8GBs07jMt0MT2HN1cdoffsv/jXmuPEXs7GzcGG8b0DWfZEbyJn3sZ793RiWIifJFF1Xfu71MKweZmwvew5olqTEghCK5r+pJ42bRrjx4+nR48ehIeH88UXXxATE8OkSZMAdagsLi6OxYsXA+odep9++inTpk3j8ccfJzIykgULFpjvxgOYPHky/fv3Z86cOYwcOZJffvmF9evXs3Xr1gqf183NjQEDBvDSSy/h6OhIYGAgmzZtYvHixbz//vu1+BUSDc6FwkTKSpeFScvK56O/TvHtzvPkFah/VIQ0dWNC7xbc1cUfRzup01Tv6PXq0jFLxqp38oU/Cy7eWkdVQtGEcymBIGqbpolUREQEKSkpvP322yQkJBASEsLq1asJDAwEICEhgZiYGHP7oKAgVq9ezdSpU/nss8/w9/fn448/NteQAujTpw9Lly7ltddeY9asWbRq1Yply5aZa0hV5LwAS5cuZebMmYwbN47Lly8TGBjIu+++a062hKgRRT1SzXpoG8cNTCaFH/fGMuePE1y+mgdAj0APpg5uS59WnjLfqb5rO0xN7uP2wtYPYFjJ8jRaa+/rik4HlzJyuZSRSxNXmWYhaoemdaTqO6kjJSolLwtmNwPFCFOPgntTrSMCICYlixd+PMDuc1cAaO3twqw7g+nfxqvBJFANso7UjU6vh29Hg8EeJh8AN+ubh3TrfzZyNvkqix/pRf+2TbQOR9Rhlfn9rfkSMUKIQgkH1CTK1c8qkihFUfhhdyzDP9rM7nNXcLYz8NodHVgzuR8D2jZpMEmUKNTqNgjoDcZc2PJfraMpVQcZ3hMakERKCGthRfOjcvKNTF12gJeXH+RqnpFeLRrzx5T+PNavJbYG+bHRIOl018of7P0aUmPKb68BmXAutCA/EYWwFlYyPyohLZv750ey8kA8Br2O6cPas+SJ3rJ+nYCg/tCiH5jyYYv13XgjE86FFiSREsJaXNirPjfVLpE6Ep/GXZ9s41BcGh5Otnz7aBhPDWwlS26IawbOVJ8PfAfp8drGcoOOhT1SZy9lkpNv1Dga0VBIIiWENchIhPQLoNOrNaQ0sPf8ZcZ+sYPkzFza+7qy6tm+hLeyzuKLQkMtboHmfcCYB9s+1jqaYpq42uPlYodJUdfdE6I2SCIlhDUomh/VpAPY1/7yFltOXeIfX+4iI6eAni08+GFSuAzlibL1f1F93rsIMpM0DeV6Op2ODn4yvCdqlyRSQlgD8/yo2p9ovvNsCo99vYfsfCP92zZh8SNhuDlINXJRjla3qjdFFGSra/BZEZlwLmqbJFJCWAON7tg7Ep/GY1/vIbfAxG3tvfnfhFCpTi5uTqeD/i+p27u/hKzL2sZzHZlwLmqbJFJCaM1khPj96nYtTjQ/l3yViV/tIiO3gF5BjflsXHfsbSSJEhXUdhj4FK7Bt/NzraMxK+qROpaQjskk9aZFzZNESgitXTqh/jKydQbvDrVyyrTsfB5ZtJvkzDyC/dz4cmIPHGwliRKVoNNdmyu1cx7kWEcPUJCXM/Y2erLyjMRcztI6HNEASCIlhNaK5kf5dwN9zSczRpPClKX7OZt8FX93BxY90lPmRImq6XA3eLWDnDTY/T+towHAxqCnva8rIMN7onZIIiWE1i7U7kTz/649wYYTl7C30fP5+B54uzrUynlFPaTXQ78X1O3IuZCfrW08hczzpGTCuagFkkgJobW4fepzLcyP+vNIInM3ngHg3/d1plMz9xo/p6jnQkaDe3PISoYD32sdDYCUQBC1ShIpIbSUlwVJR9XtGl4aJjEth+nLDwLwWN8gRnbVfmFkUQ8YbCD8GXU78lP15gmNSQkEUZskkRJCS4mHQDGCiy+4+dfYaUwmhRd+PEBqVj6dmrrz8rD2NXYu0QB1Hw+OHnD5LBz/TetoaF+YSCWm53D5ap7G0Yj6ThIpIbRUVPaghpeF+d+Ws2w7nYKjrYEPx3bFzka+9YUF2TlDz8fU7W0fg6Jt2QEXextaeKqV+Y/J8J6oYfLTVAgt1UIidfJiBv9ZewKAN+4KplWT2l+CRjQAvZ4Ag716F2pMpNbRyIRzUWskkRJCSzWcSJlMCjN/PkS+UeH2Dt5E9AyokfMIgYs3dH1Q3d72kbaxcN08KemREjWsSolUdHS0peMQouHJzYDkk+q2f9caOcV3O8+z9/wVnO0MvDMqBJ1OVyPnEQKAPs8BOjj5ByQd1zSUDjLhXNSSKiVSrVu3ZtCgQXz77bfk5ORYOiYhGoaEg4ACbs3Uv+Ytffi0bOb8oQ7pvTysPX7ujhY/hxDFeLaC9neo25GfaBpK0dDe6UuZ5ORrfyehqL+qlEhFRUXRrVs3XnjhBXx9fXnyySfZtWuXpWMTon4zD+t1rZHDv7XqKJm5BXRr3oh/9A6skXMIUcItk9Xngz9A5iXNwvB1c8DDyRajSeHUxUzN4hD1X5USqZCQEN5//33i4uJYuHAhiYmJ9O3bl44dO/L+++9z6ZJ23zxC1Bk1OD9q+5lk/jiSiEGvY/a9nTDoZUhP1JKAXtA0FIx5sHehZmHodLprE84T0jSLQ9R/1ZpsbmNjwz333MMPP/zAnDlzOHPmDC+++CLNmjVjwoQJJCQkWCpOIeqfGkqkjCaFd347BsC4sOa093Wz6PGFuKmwp9Tn3V9CgXZ1nIomnB9LyNAsBlH/VSuR2rNnD08//TR+fn68//77vPjii5w5c4a///6buLg4Ro4caak4hahfslPhsrpUi6UTqR/3xHIsIR03Bxum3N7WoscWokKCR6pFZjMvwtFftAujsEfqSLz0SImaU6VE6v3336dTp0706dOH+Ph4Fi9ezPnz5/nnP/9JUFAQt9xyC59//jn79u2zdLxC1A8JUepzo0Bwamyxw2bk5JtrRj1/WxsaO9tZ7NhCVJiNHfR8VN3eOU+zMIL91LUkjyVkYDJpWyRU1F9VSqTmzZvHgw8+SExMDCtXruTOO+9Ery9+qObNm7NgwQKLBClEvVNDw3qfbzpLcmYeQV7OTAhvYdFjC1EpoQ+DwQ7i9kLsbk1CaNnEGTsbPZm5BcReydIkBlH/VSmRWrduHdOnT8fX17fYfkVRiImJAcDOzo6JEydWP0Ih6qMaSKRSMnP5apta4236sHayDIzQlksT6HS/uq1Rr5StQU87H1dA6kmJmlOln7StWrUiOTm5xP7Lly8TFBRU7aCEqPdqIJGav+kMWXlGQpq6MbSj783fIERNC3tSfT76C6THaxKCVDgXNa1KiZRSxoKUmZmZODg4VCsgIeq9rMuQel7d9utikUNeTM9hcaR6zBeGtJMK5sI6+HWB5n3AVAC7tZnqIWvuiZpmU5nG06ZNA9T6HK+//jpOTk7m14xGIzt37qRr164WDVCIeqeoN6pxK3BsZJFDfrbhNLkFJkIDPRjYtolFjimERfSeBDHbYe8iGDBdnYheizr6S4+UqFmVSqT271d/ASiKwqFDh7Czu/YNYWdnR5cuXXjxxRctG6EQ9Y2Fh/XiU7NZskudm/jCkLbSGyWsS7sR4OoHGQlw/FcIGV2rp29fOLSXkJbD5at5ciersLhKJVIbNmwA4OGHH+ajjz7CzU0K/QlRaRZOpP635Sz5RoXeLRvTp5WXRY4phMUYbKH7BNg0B/YsrPVEysXehhaeTpxLyeJYQjq3tJbvEWFZVZojtXDhQkmihKiq+APqswUSqctX81i6KxaAZwa1rvbxhKgR3SeATg/ntsClk7V+epknJWpShXuk7r33XhYtWoSbmxv33ntvuW1//vnnagcmRL2UmQTpFwAd+HWu9uEWbT9Hdr56p15f+UtbWCv3ZtB2GJxYra6/N2x2rZ4+2M+N1YcSpcK5qBEVTqTc3d3Ncy/c3d1rLCAh6rWi3iivtmDvWq1DZeYW8PX2cwA8PbC1zI0S1q3Ho2oideA7uHUW2Dnd/D0WEiwTzkUNqnAitXDhwlK3hRCVYMH5UUt3xZCWnU9LL2epGyWsX6tboVFzSI2BIyug27haO3XRUjFnLl0lJ9+Ig62h1s4t6r8qzZHKzs4mK+tauf3z58/z4YcfsnbtWosFJkS9ZKFEKt9o4sstahXzJwe0xKCX3ihh5fR6ddkYgD1f1eqpfdzsaexsh9GkcPJiRq2eW9R/VUqkRo4cyeLFiwFITU2lV69e/Pe//2XkyJHMm6fdApVCWD0LJVJ/HE4kMT0HLxd7RnVraoHAhKgF3f4BeluI23Nt4e5aoNPprlU4lwnnwsKqlEjt27ePfv36AfDTTz/h6+vL+fPnWbx4MR9//LFFAxSi3kiPh8xE9e4l307VOtSiwrlR48KaY28jwxSijnDxhg53qdt7aneKiMyTEjWlSolUVlYWrq7qRNm1a9dy7733otfr6d27N+fPn7dogELUG0W9UU06VGui7cELqew9fwVbg45xvZtbKDghakmPwuG9Qz9BXlb5bS1IeqRETalSItW6dWtWrlxJbGwsf/75J0OGDAEgKSlJ6ksJURYLDesV9Ubd2dkfb1dZ21LUMYF9waMF5GXAsVW1dtqiHqljCemYTKWvFytEVVQpkXr99dd58cUXadGiBWFhYYSHhwNq71S3bpZbzV6IesWcSHWt8iEuZeTyW1QCAA/1aVH9mISobXo9dP2Hur3vm1o7bUsvZ+xt9FzNMxJzufZ6wkT9V6VE6r777iMmJoY9e/bwxx9/mPffdtttfPDBBxYLToh6Q1GuS6S6V/kwS3bFkGc00a15I7oENLJMbELUtq4PADo4vxVSztTKKW0Metr7qlNSZJ6UsKQqJVIAvr6+dOvWDb3+2iF69epF+/btK3WcuXPnEhQUhIODA6GhoWzZsqXc9ps2bSI0NBQHBwdatmzJ/PnzS7RZvnw5wcHB2NvbExwczIoVK6p03mPHjnH33Xfj7u6Oq6srvXv3JiYmplLXJwQAabGQlQJ6G/DpWKVD5BtNfLtDnYMovVGiTnNvBq1vU7cPfF9rpy0a3pMK58KSqpRIXb16lVmzZtGnTx9at25Ny5Ytiz0qatmyZUyZMoVXX32V/fv3069fP4YPH15mshIdHc2IESPo168f+/fv55VXXuH5559n+fLl5jaRkZFEREQwfvx4oqKiGD9+PGPGjGHnzp2VOu+ZM2fo27cv7du3Z+PGjURFRTFr1iwcHGROiqiCot4o72Cwrdq/ofVHL5KUkYuXiz3DQ/wsGJwQGuhWOLx34HswGWvllDLhXNQEnaIolZ5198ADD7Bp0ybGjx+Pn59fiaUpJk+eXKHjhIWF0b1792K1pzp06MCoUaOYPbvkWkzTp09n1apVHDt2zLxv0qRJREVFERkZCUBERATp6emsWbPG3GbYsGF4eHiwZMmSCp937Nix2Nra8s03VR/DT09Px93dnbS0NJmE39CtfxO2fgDdJ8LdVSsRMuGrXWw+eYmnB7bi5WGV6/kV1ZOVV0Dw638CcPTtoTjZVXhRCFGWglz4bzvIvgLjlkOb22v8lHvPX2b0vEh83OzZ+UrNn0/UXZX5/V2lnwZr1qzh999/55ZbbqlSgAB5eXns3buXGTNmFNs/ZMgQtm/fXup7IiMjzXcIFhk6dCgLFiwgPz8fW1tbIiMjmTp1aok2H374YYXPazKZ+P3333n55ZcZOnQo+/fvJygoiJkzZzJq1Kgyryk3N5fc3Fzz/6eny189olA179iLvZzFllOXAIjoGWCpqITQjo09dI6AnfNh/ze1kki183VDp4OL6bkkZ6q9u0JUV5WG9jw8PGjcuHG1TpycnIzRaMTHx6fYfh8fHxITE0t9T2JiYqntCwoKSE5OLrdN0TErct6kpCQyMzP517/+xbBhw1i7di333HMP9957L5s2bSrzmmbPno27u7v5ERAgv/AEN0w0r1oi9cOeWBQFbmntSaCnswWDE0JDRcN7x3+Hqyk1fjoXextaFH7/HJMJ58JCqpRIvfPOO7z++uvF1turqhuHBRVFKXcV+9La37i/Iscsr43JZALUpXCmTp1K165dmTFjBnfeeWepk9uLzJw5k7S0NPMjNja2zLaiAbkSDTlpYLBT50hVUoHRxA971H9LY3tKAU5Rj/h2Ar8uYMqHQz/UyillnpSwtCoN7f33v//lzJkz+Pj40KJFC2xtbYu9vm/fvpsew8vLC4PBUKL3KSkpqURvURFfX99S29vY2ODp6Vlum6JjVuS8Xl5e2NjYEBxc/Jdehw4d2Lp1a5nXZG9vj729dBWLGxT1RvmEgI1dpd++8cQlLqbn0tjZjiEdS//eEKLO6jZeXXfvwHfQ+6kaP12wvxu/H0qQEgjCYqqUSJU3T6ii7OzsCA0NZd26ddxzzz3m/evWrWPkyJGlvic8PJxff/212L61a9fSo0cPczIXHh7OunXris2TWrt2LX369Knwee3s7OjZsycnTpwodq6TJ08SGBhYjasWDVI1C3Eu2aXeTTq6e1NZV0/UPyGj4Y+ZkHgILh4Fn8r32laG9EgJS6tSIvXGG29Y5OTTpk1j/Pjx9OjRg/DwcL744gtiYmKYNGkSoA6VxcXFsXjxYkC9Q+/TTz9l2rRpPP7440RGRrJgwQLz3Xig3jHYv39/5syZw8iRI/nll19Yv359sZ6km50X4KWXXiIiIoL+/fszaNAg/vjjD3799Vc2btxokWsXDUj8AfW5CoU4E9Ny2HAiCYAIGdYT9ZFTY2gzBE78DgeXweC3avR0RbWkzlzKJCffiIOt/HEiqqfK9/Cmpqby008/cebMGV566SUaN27Mvn378PHxoWnTphU6RkREBCkpKbz99tskJCQQEhLC6tWrzb0+CQkJxWo7BQUFsXr1aqZOncpnn32Gv78/H3/8MaNHjza36dOnD0uXLuW1115j1qxZtGrVimXLlhEWFlbh8wLcc889zJ8/n9mzZ/P888/Trl07li9fTt++fav6JRMNkcmkDltAlSaar9gfh0mBni08aO3tYuHghLASXSLUROrQj3DbG+oyMjXE29UeT2c7Uq7mcSIxQ1YIENVWpTpSBw8e5Pbbb8fd3Z1z585x4sQJWrZsyaxZszh//ry5B6mhkzpSguTT8Gko2DjAzDgwVPxvF0VRGPLBZk4lZfKvezsxtpf0SGlF6kjVsPwc+G9b9aaMCaug5YAaPd34BTvZciqZ9+7pxINh8n0lSqrM7+8qpf3Tpk3joYce4tSpU8UqfQ8fPpzNmzdX5ZBC1E9F86N8O1UqiQI4HJfOqaRM7Gz0jOgslcxFPWbrAMGj1O2Dy2r8dEXDe0cTZKkYUX1VSqR2797Nk08+WWJ/06ZNy6wBJUSDVI36Ucv3XQBgSLAPbg62N2ktRB3XZaz6fHQV5FW/tE55ZMK5sKQqJVIODg6lVu0+ceIETZo0qXZQQtQbVUyk8o0mfo2KB2B092aWjkoI6xPQGxo1h7wMOLG6Rk/VsbBH6nhiBkZTpWe3CFFMlRKpkSNH8vbbb5Ofnw+oxS1jYmKYMWNGsYnfQjRoJmOVJ5pvPnmJlKt5eLnY0a+NVw0EJ4SV0evVJWOgxof3grxccLDVk5Vn5HzK1Ro9l6j/qpRI/ec//+HSpUt4e3uTnZ3NgAEDaN26Na6urrz77ruWjlGIuinlNORfBVsn8Gpbqbf+vC8OgJFdm2JjqLk7mISwKkWJ1Om/IDOpxk5j0Oto51s0T0qG90T1VOnWEzc3N7Zu3cqGDRvYu3cvJpOJ7t27c/vtspq2EGZFw3p+XUBf8Vo1aVn5rDt2EYB7u1eslIgQ9YJXG7XeWvw+OLy8RiudB/u5ERWbytH4dO7s7F9j5xH1X6UTKZPJxKJFi/j55585d+4cOp2OoKAgfH19b7pOnhANijmR6lqpt/1+KIG8AhPtfV3Nk2KFaDC6jFUTqYPLajaR8pceKWEZlRozUBSFu+++m8cee4y4uDg6depEx44dOX/+PA899FCxJVeEaPCqONF8xX71br17uzeVP0xEwxMyGvQ26vdP8qkaO43cuScspVKJ1KJFi9i8eTN//fUX+/fvZ8mSJSxdupSoqCjWr1/P33//LcU4hQAwFkDCQXW7EolUXGo2u89dQaeDu7vIsJ5ogJy9oOUgdfvw8ho7TXtfV3Q6SMrI5VJGbo2dR9R/lUqklixZwiuvvMKgQYNKvHbrrbcyY8YMvvvuO4sFJ0SdlXwCCrLBzgU8W1f4bb8fVEse9GrRGF93h5u0FqKeCim8+/vwcqj84hsV4mxvQ5CXs3qaeCnMKaquUonUwYMHGTZsWJmvDx8+nKioqGoHJUSdd/38qEqsG/bbwQQA7uoik19FA9b+DjDYQ/JJuHi4xk7Tqak7AIcvSCIlqq5SidTly5fx8fEp83UfHx+uXLlS7aCEqPPiD6jP/l0r/JZzyVc5eCENg17H8BDfGglLiDrBwQ3aDlG3a3B4z5xISY+UqIZKJVJGoxEbm7Jv9DMYDBQUFFQ7KCHqvCpMNP+tcFivTytPPF3sayIqIeqOWhjeCylKpOJkwrmoukqVP1AUhYceegh7+9J/yOfmyoQ9ITDmQ+IhdbsSidSvUTKsJ4RZm6HqHMPUGLiwBwJ6WvwURSUQ4lKzuXw1j8bOdhY/h6j/KpVITZw48aZtJkyYUOVghKgXko6BMRfs3cEjqEJvOXkxgxMXM7A16BjaUYb1hMDOCdqNgEM/qL1SNZBIuTnYEuTlTHTyVQ7FpTGgrawVKyqvUonUwoULayoOIeoP87BelwpPNP+tcIHiAW29cXe0ranIhKhbQkaridSRFTD03UqtEFDhUzR1Jzr5KoclkRJVJIt4CWFplZwfpSgKv5rv1vOrqaiEqHta3QoO7pCZCOe31cgpOjVVh/cOx8mEc1E1kkgJYWkJB9TnCiZSR+LTiU6+ioOtnts7lH1XrBANjo0ddLhb3a6hu/dC/NUJ54ckkRJVJImUEJZUkAuJhXVvKrjG3q+Fw3q3tffB2b5K64gLUX91uk99PvqLeiOHhXUsvHPvwpVsUrPyLH58Uf9JIiWEJSUdBVM+ODQCjxY3ba4oynVFOGVYT4gSWvQDZ2/IvgJnN1r88O6OtgR6OgFSBkFUjSRSQljS9fOjKrDg8MELacSlZuNkZ2BgO+8aDk6IOkhvgI6j1O1DP9XIKWR4T1SHJFJCWFIlJ5qvOZwIwKB23jjYWv6OJCHqhZDC4b3jv0N+juUPLxXORTVIIiWEJVUikVIUhT8Oq8N6w2RJGCHK1qwnuPpDXgac+dvihzcvFSM9UqIKJJESwlLyc9RinFChROrExQzOpWRhZ6NnUHsZ1hOiTHo9BI9Ut4+utPjhQwpLIJxPySIt2/IT2kX9JomUEJZy8QiYCsDJE9yb3bT5mkPqsF7/Nk1wkbv1hChf0TypE2vUu2MtqJGTHc08HAE4Ir1SopIkkRLCUuL3qc8VnGj+R+H8KBnWE6ICmvVSh/dy02t2eE/mSYlKkkRKCEspmh9VgfpRZy9lcuJiBjZ6HYOlCKcQN6fXQ3Bhcc4jKy1++KIJ54ekBIKoJEmkhLCUuMIeqWY9btq06G698FaeuDvJ2npCVEjwKPX5xGqLD+/JhHNRVZJICWEJOelw6bi67d/9ps2LhvWGh0gRTiEqLCAMXP0Kh/c2WPTQRT1S0clXyciRCeei4iSREsISEg4ACrgHgGv5Q3UXrmRxKC4NvQ6GdJRhPSEqTK+/tvaehe/ea+xsR9NG6oRzKcwpKkMSKSEsIW6v+ty04r1RPVs0xsvFviajEqL+Kbp777jlh/e6BKi9UgcvSCIlKk4SKSEswZxIhd606bVhPblbT4hKC+gNLr6Qm2bxtfe6NGsEQFRsqkWPK+o3SaSEsISiieY3SaSS0nPYG3MFgKGSSAlReTV4916XgEaAJFKiciSREqK60hMgPQ50+puWPvjzSCKKAl0DGuHn7lg78QlR35jv3vsdCvIsdthOTd3R6yA+LYekDMuv6SfqJ0mkhKiuokKcTTqAvUu5TdfIsJ4Q1de8N7j4QI5lh/ec7W1o4+0KwMFYmSclKkYSKSGqq4ITzS9fzWNn9GVAyh4IUS16Q43dvVc04TzqQqpFjyvqL0mkhKiuCk40X3/0IkaTQrCfG809nWohMCHqMfPde79ZdHivc+GE8wMyT0pUkCRSQlSHyQRxhUvD3CSRWnM4AZBhPSEsonn4teG96E0WO2zX6yacK4piseOK+ksSKSGq4/IZ9TZsG0fw7lBms4ycfLadTgFkkWIhLOL64T0L3r3XztcVOxs96TkFnEvJsthxRf0liZQQ1VE0rOfXBQxlr5m38cQl8owmWno509q7/AnpQogKun54z2iZZV1sDXpC/N0AKYMgKkYSKSGq48Ie9fkmw3p/HlHv1hvS0RedTlfTUQnRMDQPB2dvyEmFs5Yb3iuqJyXzpERFSCIlRHVU4I69nHwjG44nATBU1tYTwnL0hmvFOY+usNhhzfOk5M49UQGSSAlRVQW5kHhI3W7Wo8xm288kczXPiI+bvXkJCiGEhRQV5zxmueG9ou/TI/Hp5BWYLHJMUX9pnkjNnTuXoKAgHBwcCA0NZcuWLeW237RpE6GhoTg4ONCyZUvmz59fos3y5csJDg7G3t6e4OBgVqwo+ZdKZc775JNPotPp+PDDDyt9faIeSzwMpnxw8oRGgWU2+/PwRQCGBPui18uwnhAWFdjn2vCehe7eC/R0wt3RlrwCEycvZljkmKL+0jSRWrZsGVOmTOHVV19l//799OvXj+HDhxMTE1Nq++joaEaMGEG/fv3Yv38/r7zyCs8//zzLly83t4mMjCQiIoLx48cTFRXF+PHjGTNmDDt37qzSeVeuXMnOnTvx9/e3/BdA1G3X148qY96T0aSw/piaSA3tKHfrCWFxegN0uEvdPmKZ4T2dTkfnZmphTpknJW5G00Tq/fff59FHH+Wxxx6jQ4cOfPjhhwQEBDBv3rxS28+fP5/mzZvz4Ycf0qFDBx577DEeeeQR/vOf/5jbfPjhhwwePJiZM2fSvn17Zs6cyW233VasN6mi542Li+PZZ5/lu+++w9a27DuyRAN1Ybf6XM5E8z3nLpNyNQ93R1vCWjaupcCEaGDMd+/9brHhva6ygLGoIM0Sqby8PPbu3cuQIUOK7R8yZAjbt28v9T2RkZEl2g8dOpQ9e/aQn59fbpuiY1b0vCaTifHjx/PSSy/RsWPHCl1Tbm4u6enpxR6iHruwS31u1rPMJn8eUXujbuvgja1B85F0IeqnwFvAuQlkX7HY8F7RPKn9kkiJm9DsJ3tycjJGoxEfn+J3Mfn4+JCYmFjqexITE0ttX1BQQHJycrltio5Z0fPOmTMHGxsbnn/++Qpf0+zZs3F3dzc/AgICKvxeUcdkJsGVc4CuzInmiqKYyx7IsJ4QNagGinN2a94IgNNJmaRlWaaXS9RPmv+JfGNNHUVRyq2zU1r7G/dX5Jjltdm7dy8fffQRixYtqlTNn5kzZ5KWlmZ+xMbGVvi9oo6JLeyN8u4ADu6lNjkSn05cajYOtnr6t2lSi8EJ0QBZuDinp4s9QV7OAOyLvVLt44n6S7NEysvLC4PBUKL3KSkpqURvURFfX99S29vY2ODp6Vlum6JjVuS8W7ZsISkpiebNm2NjY4ONjQ3nz5/nhRdeoEWLFmVek729PW5ubsUeop6qwLDe2sLeqAFtm+BoZ6iNqIRouGpgeK+oV2r/eUmkRNk0S6Ts7OwIDQ1l3bp1xfavW7eOPn36lPqe8PDwEu3Xrl1Ljx49zJPBy2pTdMyKnHf8+PEcPHiQAwcOmB/+/v689NJL/Pnnn1W/aFF/FPVIBfQqs0nR/CgZ1hOiFtTA8F5ooAcAe2MkkRJls9Hy5NOmTWP8+PH06NGD8PBwvvjiC2JiYpg0aRKgDpXFxcWxePFiACZNmsSnn37KtGnTePzxx4mMjGTBggUsWbLEfMzJkyfTv39/5syZw8iRI/nll19Yv349W7durfB5PT09zT1cRWxtbfH19aVdu3Y1/WUR1q4gD+L3q9sBYaU2OZd8lRMXM7DR67itvVQzF6JWdBwFexaow3t3flDu+pcVUZRIHYhJpcBowkZuGBGl0DSRioiIICUlhbfffpuEhARCQkJYvXo1gYFqccOEhIRitZ2CgoJYvXo1U6dO5bPPPsPf35+PP/6Y0aNHm9v06dOHpUuX8tprrzFr1ixatWrFsmXLCAsLq/B5hSjXxUNQkAOOHuDZutQmRZPMe7f0xN1JSmcIUSuKhveuXlKH91rfXq3DtfF2xcXehszcAk5czKCjf+nzIUXDplOKZmsLi0tPT8fd3Z20tDSZL1Wf7JgHf8yANkNg3I+lNrl37jb2xaTyzsiOjA9vUbvxCYvLyisg+HV1WP/o20NxstP0b1BRnt+mwp6voNt4GPlptQ83fsFOtpxK5p1RIYzvLX9sNxSV+f0t/ZRCVNZN5kclpeewLyYVgMHBMj9KiFrV8R712UJ373Vvrg7v7ZMJ56IMkkgJUVlFFc2blZ5IrT2qTjLvGtAIX3eH2opKCAE33L23udqH61404VwSKVEGSaSEqIz0eEiLBZ2+zKVhpAinEBq6fu29oyurfbiuAY3Q6SDmchaXMnKrfTxR/0giJURlFA3r+XQEe5cSL6dl5xN5JgWAoR3lbj0hNBE8Sn0+9mu1h/fcHW1p6+0KwD4pgyBKIYmUEJVRlEiVMay34XgSBSaFNt4utGxSMtESQtQCiw/vNQJknpQonSRSQlTGhfInmsuwnhBWwGBj0eG9ognnMk9KlEYSKSEqKj8HEqLU7VISqZx8IxtPXAIkkRJCc+bhverfvVdUmPNgXBo5+cZqBibqG0mkhKio+H1gzFOHDDyCSry85VQy2flGmjZyJKSp1A0TQlOBt4CTF2RfrvbwXpCXM14uduQVmDh4Ic1CAYr6QhIpISrq/Hb1ObAP6HQlXi4a1hsc7IOulNeFELXIYAPBhWvvVXN4T6fT0SuoMQC7olOqGZiobySREqKiihKp5iUX1S4wmvjrmCxSLIRVseDwXliQuv7qzujL1QxK1DeSSAlRESbjtTv2AksmUrvOXeZKVj4eTrb0bOFRy8EJIUp1/fDeuS3VOlRRj9Te81fIN5osEZ2oJySREqIiEg9BXgbYu6k1pG7wx+Frw3qyQrwQVuL6u/eOrKjWodr5uOLuaEtWnpEj8ekWCE7UF/ITX4iKMA/r9VYrJ1/HZFJYU5hIDe/kV9uRCSHKU7T2XjWH9/R6HT1byDwpUZIkUkJURExRIhVe4qW9MVe4lJGLq4MNt7TyquXAhBDlsuDwXljh8N7OszJPSlwjiZQQN6MocD5S3S5lftTqQwmAOqxnZyPfUkJYFQsO75nv3Dt3GaNJqW5kop6Qn/pC3EzyKchKBhsH8O9W7CWTSTHPjxoRIsN6Qlgl8/Der1CQV/XD+LvhbGcgI6eAE4kZFgpO1HWSSAlxM+e3qc9Ne4CNfbGXDlxIJSEtBxd7G/q2kWE9IaxSi77g4quuvXfm7yofxsagJ7RwntROmSclCkkiJcTNxJQ9rLemcFjvtg7eONgaSrwuhLACegOE3KtuH/qxWocKMxfmlHlSQiWJlBA3Y54fVXyiuaIorD5UeLeeDOsJYd063ac+n1gNeVerfJjrEylFkXlSQhIpIcqXGgtpMaAzQLPiCxUfiksjLjUbJzsDA9s10ShAIUSF+HeHxi0hPwtOrKnyYTo1c8feRk/K1TxOJWVaMEBRV0kiJUR5ihY79e8G9i7FXvq9cFhvUHsZ1hPC6ul0EFLYK1WN4T17G4P57r1tp5MtEZmo4ySREqI8RYlUywHFdiuKwppDcreeEHVK0fDe6fWQVfU5Tre0Vm8skURKgCRSQpRNUa4lUkH9i710JD6dmMtZONjqZVhPiLqiSTvw7QymAjj6S5UPU1R4d8fZyxTIunsNniRSQpQl5QxkxIPBDgLCir205rA6rDewrTfO9jZaRCeEqIpO96vPh36q8iGC/d1o5GRLZm4BURfSLBSYqKskkRKiLNGb1OeAMLB1NO8udrdeJ18tIhNCVFVRGYTz2yDtQpUOYdDr6NPKE5DhPSGJlBBlK2dYLzr5KvY2em7r4KNBYEKIKnNvpq6/hwKHf67yYYrmSW2VRKrBk0RKiNKYTNcWOL0hkVoVFQ+oRThdZFhPiLqnaNL54aoP7/UtTKT2x1whK6/AElGJOkoSKSFKk3QUslLA1lmtP1PIZFL4rTCRuruLv1bRCSGqI3gU6G0gIQounajSIZo3dqJpI0fyjYpUOW/gJJESojRFw3qBfcDGzrx7b8wV4gvX1hvYzluj4IQQ1eLUGFoPVrcPfF+lQ+h0OnOvlMyTatgkkRKiNEUTzW8c1jug9kYN6egjRTiFqMu6Pqg+H1wGJmOVDnFL4ULlW05JItWQSSIlxI0K8uDcVnX7ukKcBUYTqwurmcuwnhB1XNuh4OgBGQlwdmOVDtG3tRc6HRxPzCAxLcey8Yk6QxIpIW4UuxPyMsG5Cfh0Mu/efiaFlKt5NHa2M9+xI4Soo2zsry0ZE7WkSodo7GxH14BGAGw8kWShwERdI4mUEDc6vV59bnUb6K99i/xaOMl8eIgvtgb51hGizuv6gPp87DfIqVphzUGFcyU3SCLVYMlvAyFudPov9bn1beZduQVG/jiiFuGUYT0h6gn/7tCkPRRkw5GVVTpEUSK19VQyeQWyXExDJImUENfLSISLhwAdtLrVvHvjiUtk5BTg6+ZAzxaNtYtPCGE5Oh10KeyVquLwXkd/N7xc7LiaZ2TPOSmD0BBJIiXE9c78rT77dQHna/OgVu6PA+CuLn7o9TotIhNC1ITOEaDTQ0wkXD5b6bfr9ToGtJXhvYZMEikhrmce1rvdvCs1K4+/jqk/IO/t3kyLqIQQNcXND1oOUrejllbpEIPaNwFgw4lLlopK1CGSSAlRxGS81iN13fyoXw8mkGc00cHPjQ5+bhoFJ4SoMUU1pQ4sUZeHqqR+rZtg0Os4nZRJ7OUsCwcnrJ0kUkIUSTgA2ZfB3g2a9TTv/nmfukL86O5NNQpMCFGj2t8B9u6QFnOtGG8luDvZEtrcA5DhvYZIEikhipxapz4H9QeDLQBnLmWyPyYVg17H3V3lbj0h6iVbR+g8Rt3eu6hKhxjUXp0nte7oRQsFJeoKSaSEKHJitfrcbrh514p96iTz/m288HZ10CIqIURtCJ2oPh//DTIr36s0pKMPAJFnUkjLzrdkZMLKSSIlBEBanLoSPDpoMxQAk0lhReHdeqNDZZK5EPWabydo2gNMBVVayLhVExfaeLtQYFLYcFyG9xoSSaSEADi5Rn0O6AUu6h04O6JTiEvNxtXBhts7+GgYnBCiVoQ+pD7v+7pKk86HdvQF4I/DiRYMSlg7zROpuXPnEhQUhIODA6GhoWzZsqXc9ps2bSI0NBQHBwdatmzJ/PnzS7RZvnw5wcHB2NvbExwczIoVKyp13vz8fKZPn06nTp1wdnbG39+fCRMmEB8fX/0LFtbpeNGw3gjzrp/2qpPM7+zsj4OtQYuohBC1KeRe9WaTy2fh3OZKv70okdp08hI5+UZLRyeslKaJ1LJly5gyZQqvvvoq+/fvp1+/fgwfPpyYmJhS20dHRzNixAj69evH/v37eeWVV3j++edZvny5uU1kZCQRERGMHz+eqKgoxo8fz5gxY9i5c2eFz5uVlcW+ffuYNWsW+/bt4+eff+bkyZPcfffdNfsFEdrISYfowh+ahYlUWnY+qw8lAHCfDOsJ0TDYOVdr0nlIUzeaNnIkO9/I5pNSU6qh0CmKomh18rCwMLp37868efPM+zp06MCoUaOYPXt2ifbTp09n1apVHDt2zLxv0qRJREVFERkZCUBERATp6emsWbPG3GbYsGF4eHiwZMmSKp0XYPfu3fTq1Yvz58/TvHnzCl1feno67u7upKWl4eYm9Yes1pGV8ONEaNwKntsLOh2LI8/x+i9HaOfjyh9T+qHTSTXzhiwrr4Dg1/8E4OjbQ3Gys9E4IlFjEg/B/L6gt4Vpx8xD/RX11q9HWLjtHKO7N+O/Y7rUUJCiplXm97dmPVJ5eXns3buXIUOGFNs/ZMgQtm/fXup7IiMjS7QfOnQoe/bsIT8/v9w2RcesynkB0tLS0Ol0NGrUqMw2ubm5pKenF3uIOuBEYdLdbjjodCiKwvc71d7Jsb0CJIkSoiHx7QRNQ8GUDwe+q/Tbi4b31h+7SL5RFjFuCDRLpJKTkzEajfj4FJ/E6+PjQ2Ji6RP1EhMTS21fUFBAcnJyuW2KjlmV8+bk5DBjxgwefPDBcjPT2bNn4+7ubn4EBASU2VZYCWMBnFJ7GoqG9aIupHE8MQN7Gz33dJMinEI0OKEPq8+7F6grHlRCzxaNaexsR1p2PjvOptRAcMLaaD7Z/Ma/9hVFKbcHoLT2N+6vyDEret78/HzGjh2LyWRi7ty55VwJzJw5k7S0NPMjNja23PbCCpzbAtlXwLExBIQBsHSX2hs1opMfjZzstIxOCKGFTvepPxPSYq71WFeQQa9jeIjaK7XqgNyg1BBolkh5eXlhMBhK9AIlJSWV6C0q4uvrW2p7GxsbPD09y21TdMzKnDc/P58xY8YQHR3NunXrbjpOam9vj5ubW7GHsHJHCu/oDL4bDDZk5hawKkr94fdAr4rNhRNC1DO2jtdKIewseWf4zYzsqvZk/3E4Ue7eawA0S6Ts7OwIDQ1l3bp1xfavW7eOPn36lPqe8PDwEu3Xrl1Ljx49sLW1LbdN0TEret6iJOrUqVOsX7/enKiJesSYD8d+VbeDRwHqX5BZeUZaNXGmZwsP7WITQmir56OgM6i91omHK/XWHoEe+Ls7kJFbwEZZe6/e03Rob9q0aXz55Zd89dVXHDt2jKlTpxITE8OkSZMAdahswoQJ5vaTJk3i/PnzTJs2jWPHjvHVV1+xYMECXnzxRXObyZMns3btWubMmcPx48eZM2cO69evZ8qUKRU+b0FBAffddx979uzhu+++w2g0kpiYSGJiInl5ebXzxRE179wWdZFiJ09o0Q9FUfhu53lA7Y2SSeZCNGDuzdSeaoBdn1fqrXq9jrsK1+b8RYb36j1N7+GNiIggJSWFt99+m4SEBEJCQli9ejWBgYEAJCQkFKspFRQUxOrVq5k6dSqfffYZ/v7+fPzxx4wePdrcpk+fPixdupTXXnuNWbNm0apVK5YtW0ZYWFiFz3vhwgVWrVoFQNeuXYvFvGHDBgYOHFhDXxFRq4qG9Tqow3p7z13mSHw69jZ6RneX2lFCNHhhk9SfEwd/gNveBOeKj0yM7NKUzzed5a/jSaTn5OPmYFtzcQpNaVpHqr6TOlJWzJgP/2mjTjSf8Au0HMgz3+/j94MJjO0ZwL9Gd9Y6QmFFpI5UA6Uo8MUAdR3O216Hfi9U4q0KQz7YzKmkTP7vvs7c30Pu4q5L6kQdKSE0dXajmkQ5eUFgXxLSss3rY03s00LT0IQQVkKng7Cn1O2dn0N+TiXeqmOkDO81CJJIiYYpaqn63PEeMNjw7Y7zGE0KvVs2poOf9B4KIQqFjAa3ppB5EQ4urdRb7+6i3r237Uwy8anZNRGdsAKSSImGJycdjv+mbnd9gJx8o7mS+UPSGyWEuJ6NHYQ/o25v+6hSBTqbezrRu2VjFAV+3HOhhgIUWpNESjQ8x1ZBQQ54tQX/7qw6EM+VrHyaNnLk9g6l1zATQjRg3SeCQyO4fFb9+VEJY3uq9eh+2BOL0SRTkusjSaREw1M0rNdlLCYFPt98BoAJ4YHYGORbQghxA3sXCHtS3d76gToJvYKGhfji5mBDXGo2204n11CAQkvyW0M0LKkxav0odNBpDOuOXeTMpau4OtjwYJhUMhdClKHXk2DjqN7Bd3ZDhd/mYGswr9m5bLcsG1YfSSIlGpai3qgWfVHcmzF/k9obNb53IK5S50UIURZnT+heWCB6y/uVeuuYnmrpg7VHE0nJzLV0ZEJjkkiJhsNkhL1fq9vdxrMr+jL7Y1Kxs9Hz8C1B2sYmhLB+fZ4Dva3aqx29ucJv6+jvTudm7uQbFZZKr1S9I4mUaDhOrYP0C+DoAcEjmVfYG3V/aDOauNprHJwQwuo1CoDQier23+9Waq7UxPAWAHwTeZ58o6kGghNakURKNBx7F6rPXcdx5FIuG09cQq+DJ/q31DYuIUTd0e8FMNhD7A4483eF33ZnFz+8XOxITM/hzyOJNRigqG2SSImGITUWTq1Vt0Mf4oN1JwG4s7M/gZ7OGgYmhKhT3Pyh56Pq9oaK90rZ2xh4MExdz3XRtnM1FJzQgiRSomHY9zUoJmjRjwPZTVh/LAm9Dibf3kbryIQQdU3fqWDrBHF74cSaCr/tH2HNsTXo2HP+CocupNVggKI2SSIl6r/8bNjzlbrd4xHeL+yNurd7M1o1cdEwMCFEneTifa2u1Po31EXQK8DbzYE7OvkB1+rXibpPEilR/0UthawUcG/Obqe+bD55CRu9jsm3SW+UEKKK+k4FJ09IPgl7F1X4bU8OaAXA74cSOHsps4aCE7VJEilRv5lMEPkZAErYk/xnXeGdej0CCGjspGVkQoi6zMEdBs5UtzfOhpyKDdV18HPj9g7eKArM2yi9UvWBJFKifju9DlJOgb0bfzsNY2f0Zexs9Dx3a2utIxNC1HWhD4FnG7XHuxJFOp8epP78WbE/jgtXsmooOFFbJJES9dv2TwAwdpvAO+vUQniP9wvCv5GjllEJIeoDgy0MeUfd3jEPUirWw9S9uQd9WnlSYFL4fNPZGgxQ1AZJpET9dW6bWoFYb8sPhjs4l5JFE1d7nhoovVFCCAtpOwxa3QrGXFj9YoXLITxb2Cu+dHcMMSnSK1WXSSIl6q+NswHI6TSO97ZlAPDSkHa42NtoGZUQoj7R6WDEf9QinWf+hiM/V+htfVp50a+NF/lGhf+uO1HDQYqaJImUqJ+it6i9UQY7Psy9i4ycAjr6uzE6tJnWkQkh6hvPVmrFc4A/ZlZ44vn0Ye0B+OVAPEfipa5UXSWJlKh/FMXcG3WxzRjmH1BXW3/jro4Y9DotIxNC1Fd9p4Bna8i8COvfqtBbQpq6c1cXfwDm/CG9UnWVJFKi/jm1Fs5vQzHYMfnCrQCM7RlAr6DGGgcmhKi3bOzhjsI79/YsqPA6fC8OaYutQcfmk5dYd/RiDQYoaookUqJ+MebDn68CsNc3gh3JDni52DNzeAeNAxNC1HstB0DPx9Xtlc9AdupN3xLo6cyjfdWF099cdYTsPGMNBihqgiRSon7ZsxBSTlHg4Mnj5wYC8MZdwbg72WoblxCiYRj8FjRuCRnxsGZ6hd7y/G2t8Xd3IC41m3kbT9dwgMLSJJES9UfWZdj4HgCfMYYrRkeGdvThzs5+GgcmhGgw7Jzhns9Bp4eDS+HQTzd9i5OdDbPuDAZg/qaznE6SpWPqEkmkRP2xbhZkXyHJIYiPU/vQxNWe2fd2RqeTCeZCiFoU0OvaXXyrnodLN59IPizElwFtm5BnNPHCj1EUGE01HKSwFEmkRP1wdiPs/xYFHZPSJmLEwL/v60xjZzutIxNCNEQDZ0JQf8i/CsvGQ275vUw6nY5/je6Eq4MNUbGpsg5fHSKJlKj78rLg18kALGUI+5S2PNSnBYPaeWscmBCiwdIbYPQCcPGF5BPw6/M3rXru5+7I2yM7AvDRX6c4HCe1peoCSaRE3bduFlw5xyWdF//MGUOPQA9eGSF36QkhNObiDfcvAr0NHF4OG9676VtGdW3KsI6+FJgUnv5uH2lZ+TUfp6gWSaRE3XZ0Fez+EoAXch/F0aURn43rjp2N/NMWQliBwPBr9aU2/xv2fVNu86IhvmYejsRczmLaDwcwmSq2fp/Qhvy2EXVXagzKqmcBmF9wFzv03Zj/j+74uDloHJgQQlwndOK1yee/TYFT68tt3sjJjvn/CMXORs9fx5P45G8piWDNJJESdVOeOoFTl5PGflNr/lNwPx+M6UqPFlK9XAhhhW6dBZ3uB1MBLBt308rnIU3d+efIEAA+WH+Sn/ZeqI0oRRVIIiXqHpMJfn4CEg6QorjyXP5zvDwihDukXpQQwlrpdDByLrQdDgU5sOQB9W7jcozpGcCTA9Sq59OXH2TjiaRaCFRUliRSom5RFHVy+fHfyFVseCJvGvcOCueJ/q20jkwIIcpnYwdjvoa2w9Rk6vuxcHx1uW+ZPrQ9o7r6YzQpPPXtPradTq6lYEVFSSIl6hRlw7sQ+SkAL+c/Qe+BI5g6uK3GUQkhRAXZ2MOYxYU9U9nqMN+u/5XZXK/X8e/7ujCwXROy8408smg3m05eqsWAxc1IIiXqBkUh/+/Z6Db/HwBv54+n1W2P8OKQdlK5XAhRt9jYQ8S30H0iKCZY/SKsmaEuul4KOxs9n48P5fYO3uQWmHj86z2s3B9Xy0GLskgiJayfsYCMn6dgu/lfAMwuGEf7e6bz/G1tJIkSQtRNBhu46yO47XX1/3fOg4XDITW21Ob2Ngbmjgvljk5+5BlNTFl2gP+uPSGlEayAJFLCuuWkkfS/0bgeWoRJ0fF/uofoO/EtxvQI0DoyIYSoHp1OLYsQ8R3Yu8OF3TC/r1q8s5Qq6HY2ej55oBuTBqhzQj/5+zQPL9rNpYzc2o5cXEcSKWG1Uk/t4NJ/e+OduJEcxZY5bjN54PnZ9GvTROvQhBDCcjrcCZM2g393yEmFnx5R7+pLKzl8p9frmDG8Pf93X2fsbfRsOnmJ4R9tYf3Ri7UftwAkkRJWKC8ni/2LX8b5uxE0yY8nVmnCT53/x7TJL9LMw0nr8IQQwvI8WsAjf6qLHett4eQa+LQnbJhd6oLH9/cIYNWzfWnn40pyZi6PLd7Dk9/sIT41u/Zjb+AkkRJWo6DAyI4/vydxTijdzn6OLUa22PYhY+Lf/GP0PdjbGLQOUQghao6NHQycAZO2QEAY5F+FTf+Cj7tC5FzIzSjWvJ2vK788ewtP9m+JQa/jzyMXGfSfjfzzt6MkZ8pwX23RKcpNlqMWVZaeno67uztpaWm4ublpHY7VSs/OI3LdTzTd/wEhykkAkmnEsa6vEX7nI9hIAiU0lpVXQPDrfwJw9O2hONnZaByRqPcUBY6uhL/ehstn1X0O7hD6sLrkTOOWxZofT0zn9ZVH2HXuMgCOtgYiegYwPjyQVk1cajn4uq8yv78lkapBkkiVLa/AxO7j0SRsWUSXxJ9po1OXP8jGjqPNImh3/9u4uMtyL8I6SCIlNGPMhwPfwfZPIOW6Nfeah0OXB6D9HeDsBYCiKGw6eYn3153k4IU0c9O+rb0Y2dWfIcG+uDvZ1vYV1EmV+f2t+dDe3LlzCQoKwsHBgdDQULZs2VJu+02bNhEaGoqDgwMtW7Zk/vz5JdosX76c4OBg7O3tCQ4OZsWKFZU+r6IovPnmm/j7++Po6MjAgQM5cuRI9S62AVMUhdjLWfy2dS/fzv0nO965lR4/9uK+ix/TRneBbOw5FvggPB9F6GOfShIlhBAABlsIfQie2Q1jl0Cr20Cnh5hI+PV5+L/W8OXtsPn/0MXuZGBLN3555hYWPdyT29p7o9PB1tPJvPTTQUL/uY6JX+3iq63RHEtIl9IJFqLpn1XLli1jypQpzJ07l1tuuYXPP/+c4cOHc/ToUZo3b16ifXR0NCNGjODxxx/n22+/Zdu2bTz99NM0adKE0aNHAxAZGUlERATvvPMO99xzDytWrGDMmDFs3bqVsLCwCp/33//+N++//z6LFi2ibdu2/POf/2Tw4MGcOHECV1fX2vsi1UFGk5o0nY1P4sq5KLJjo3BOPkgX42Hu1CeqjQrLP110CCK/60SaDniYDo6NNItZCCGsml4P7Ueoj/R4OPgDHP4JEg+pZRMu7C5sZ4vOvysDm4YysFMHLvYM4udYN345nsHxxAw2nbxkroze2NmOLs3c6ejvTrC/Gx383Gjm4YitQfM+ljpF06G9sLAwunfvzrx588z7OnTowKhRo5g9e3aJ9tOnT2fVqlUcO3bMvG/SpElERUURGRkJQEREBOnp6axZs8bcZtiwYXh4eLBkyZIKnVdRFPz9/ZkyZQrTp08HIDc3Fx8fH+bMmcOTTz5ZoeurT0N7iqJwNc9IWnY+aZlZXE1NJic9mZyMFLJSk8hLv4RNRhxO2fG45SbizyUCdJfQ64r/8zKi55JzO5R2w/EJG4Pep4NGVyRExcnQnrBaaXFwai2cXg+xO+FqGcvHOHuT4+xHvOLJqRx3DqY5c9HozBXFhSuKK6m4cEVxIUfvhJe7C809nQnwcKKJqz2eznZ4utjj6WKHp7M9Lg42ONsZcLa3qbdJV2V+f2v20yAvL4+9e/cyY8aMYvuHDBnC9u3bS31PZGQkQ4YMKbZv6NChLFiwgPz8fGxtbYmMjGTq1Kkl2nz44YcVPm90dDSJiYnFzmVvb8+AAQPYvn17mYlUbm4uubnX7pRIT08v5ytQdVtOXeKvY0mYFAWTotA15Xf8s06AAigmdJjUZ0UBFHUJAkzobtino/D/FRMoCopiQjGZ0Cv52JpysVXysFXysFPysCMPe/LwIJ+mupvcDXLd91WaoTHpbm2xadoFz+CB2AX1wVd6noQQwjLcm0KPh9WHosCVaIjZqfZUXToGScchIx6uJuFwNYmWQEtgqJ4yJ/cYs3RkZ9mTHWtHjmJPFvbkYEc+NqSiJ1kxYERPAQZMOgM6vY1aqV1nQNEZQG9Ap9Oh0+nQ63To9Dp06NHrUYuQolcHJcz/0RXuV1/XoSt8TQ86uOjYmn2ed6HXUepqFn1be3F7sI+Fv7AVp1kilZycjNFoxMen+MX7+PiQmJhY6nsSExNLbV9QUEBycjJ+fn5ltik6ZkXOW/RcWpvz58+XeU2zZ8/mrbfeKvN1SzkUl8ai7efM/9/bdgN9DDtq7oRlrMKSqXMhy+BKrm0jjA4emFz90Xs0x8U7CA//VhiatMHdxRv3motMCCFEEZ1OvZuvcUvggWv7c9Lgyjm19yrtAqRfUIcHsy5D9uXC51TIVSeoG3QKLuTgQk6ZP/9LMFr4Wq7zh7En35zqXObrTnaGhplIFbkxu1QUpdz100prf+P+ihzTUm2uN3PmTKZNm2b+//T0dAICLL+USWhzD567tXVhtg+G5LvZndURdHoUnR50ejXOwu2ivwDQ69EV/b+uaFv9f73egK2NARu9Ab2tPQZ7B2xsHTHYO2Jj54StgyNOTs44ODihc2wEDu646A3ITbVCCGHlHNzBr4v6KI+xAPKzrntkFz6yIC8LTPlgKgCTkYKCfPLy8sjJyyM/X902FeRjMhZgMhVgNCmYTApGkwmTyaRuK0rh6EfRSIlKUUyoIyVFv9ML26kvojgF8XyTNlw/E+n6SUm9grS9OUmzRMrLywuDwVCi9ykpKalET1ARX1/fUtvb2Njg6elZbpuiY1bkvL6+voDaM+Xn51eh2EAd/rO3ty/zdUsJa+lJWEvP6/a0rfFzCiGEqOcMNmBwA4ebz+m1KXzU1loTw2vpPFWh2SwxOzs7QkNDWbduXbH969ato0+fPqW+Jzw8vET7tWvX0qNHD2xtbcttU3TMipw3KCgIX1/fYm3y8vLYtGlTmbEJIYQQouHRdGhv2rRpjB8/nh49ehAeHs4XX3xBTEwMkyZNAtShsri4OBYvXgyod+h9+umnTJs2jccff5zIyEgWLFhgvhsPYPLkyfTv3585c+YwcuRIfvnlF9avX8/WrVsrfF6dTseUKVN47733aNOmDW3atOG9997DycmJBx98sBa/QkIIIYSwZpomUhEREaSkpPD222+TkJBASEgIq1evJjAwEICEhARiYmLM7YOCgli9ejVTp07ls88+w9/fn48//thcQwqgT58+LF26lNdee41Zs2bRqlUrli1bZq4hVZHzArz88stkZ2fz9NNPc+XKFcLCwli7dq3UkBJCCCGEmSwRU4PqUx0pIRoyqSMlRMNSp5aIEUIIIYSoqySREkIIIYSoIkmkhBBCCCGqSBIpIYQQQogqkkRKCCGEEKKKJJESQgghhKgiSaSEEEIIIapIEikhhBBCiCqSREoIIYQQooqkPG8NKioan56ernEkQojqyMorwJSbBajfzwVS2VyIeq3o93ZFFn+RJWJq0IULFwgICNA6DCGEEEJUQWxsLM2aNSu3jSRSNchkMhEfH4+rqys6nc4ix0xPTycgIIDY2Nh6uX6fXF/dJtdXt8n11W1yfZajKAoZGRn4+/uj15c/C0r6p2uQXq+/aSZbVW5ubvXyG6WIXF/dJtdXt8n11W1yfZbh7u5eoXYy2VwIIYQQoookkRJCCCGEqCJJpOoYe3t73njjDezt7bUOpUbI9dVtcn11m1xf3SbXpw2ZbC6EEEIIUUXSIyWEEEIIUUWSSAkhhBBCVJEkUkIIIYQQVSSJlBBCCCFEFUkiZaVatGiBTqcr9pgxY0axNjExMdx11104Ozvj5eXF888/T15eXrE2hw4dYsCAATg6OtK0aVPefvvtCq0dVJPOnTvHo48+SlBQEI6OjrRq1Yo33nijROw3Xr9Op2P+/PnF2ljj9ZVl7ty5BAUF4eDgQGhoKFu2bNE6pJuaPXs2PXv2xNXVFW9vb0aNGsWJEyeKtXnooYdKfE69e/cu1iY3N5fnnnsOLy8vnJ2dufvuu7lw4UJtXkqp3nzzzRKx+/r6ml9XFIU333wTf39/HB0dGThwIEeOHCl2DGu9tiKl/SzR6XQ888wzQN37/DZv3sxdd92Fv78/Op2OlStXFnvdUp/ZlStXGD9+PO7u7ri7uzN+/HhSU1Nr+OrKv778/HymT59Op06dcHZ2xt/fnwkTJhAfH1/sGAMHDizxmY4dO9bqrw8s9++xVq9PEVYpMDBQefvtt5WEhATzIyMjw/x6QUGBEhISogwaNEjZt2+fsm7dOsXf31959tlnzW3S0tIUHx8fZezYscqhQ4eU5cuXK66ursp//vMfLS7JbM2aNcpDDz2k/Pnnn8qZM2eUX375RfH29lZeeOGFYu0AZeHChcW+BllZWebXrfX6SrN06VLF1tZW+d///qccPXpUmTx5suLs7KycP39e69DKNXToUGXhwoXK4cOHlQMHDih33HGH0rx5cyUzM9PcZuLEicqwYcOKfU4pKSnFjjNp0iSladOmyrp165R9+/YpgwYNUrp06aIUFBTU9iUV88YbbygdO3YsFntSUpL59X/961+Kq6ursnz5cuXQoUNKRESE4ufnp6Snp5vbWOu1FUlKSip2fevWrVMAZcOGDYqi1L3Pb/Xq1cqrr76qLF++XAGUFStWFHvdUp/ZsGHDlJCQEGX79u3K9u3blZCQEOXOO+/U9PpSU1OV22+/XVm2bJly/PhxJTIyUgkLC1NCQ0OLHWPAgAHK448/XuwzTU1NLdbGGq9PUSz377E2r08SKSsVGBiofPDBB2W+vnr1akWv1ytxcXHmfUuWLFHs7e2VtLQ0RVEUZe7cuYq7u7uSk5NjbjN79mzF399fMZlMNRZ7Vfz73/9WgoKCiu0r7ZvsenXp+nr16qVMmjSp2L727dsrM2bM0CiiqklKSlIAZdOmTeZ9EydOVEaOHFnme1JTUxVbW1tl6dKl5n1xcXGKXq9X/vjjj5oM96beeOMNpUuXLqW+ZjKZFF9fX+Vf//qXeV9OTo7i7u6uzJ8/X1EU6762skyePFlp1aqV+XukLn9+N/6MsNRndvToUQVQduzYYW4TGRmpAMrx48dr+KquudnPQEVRlF27dilAsT/KBgwYoEyePLnM91jz9Vni32NtX58M7VmxOXPm4OnpSdeuXXn33XeLDX1FRkYSEhKCv7+/ed/QoUPJzc1l79695jYDBgwoVrxs6NChxMfHc+7cuVq7jopIS0ujcePGJfY/++yzeHl50bNnT+bPn4/JZDK/VleuLy8vj7179zJkyJBi+4cMGcL27ds1iqpq0tLSAEp8Vhs3bsTb25u2bdvy+OOPk5SUZH5t79695OfnF7t+f39/QkJCrOL6T506hb+/P0FBQYwdO5azZ88CEB0dTWJiYrG47e3tGTBggDlua7+2G+Xl5fHtt9/yyCOPFFtIvS5/ftez1GcWGRmJu7s7YWFh5ja9e/fG3d3d6q45LS0NnU5Ho0aNiu3/7rvv8PLyomPHjrz44otkZGSYX7P266vuv8favj5ZtNhKTZ48me7du+Ph4cGuXbuYOXMm0dHRfPnllwAkJibi4+NT7D0eHh7Y2dmRmJhobtOiRYtibYrek5iYSFBQUM1fSAWcOXOGTz75hP/+97/F9r/zzjvcdtttODo68tdff/HCCy+QnJzMa6+9BtSd60tOTsZoNJb4vHx8fMyfVV2gKArTpk2jb9++hISEmPcPHz6c+++/n8DAQKKjo5k1axa33nore/fuxd7ensTEROzs7PDw8Ch2PGu4/rCwMBYvXkzbtm25ePEi//znP+nTpw9Hjhwxx1ba53b+/HkAq7620qxcuZLU1FQeeugh8766/PndyFKfWWJiIt7e3iWO7+3tbVXXnJOTw4wZM3jwwQeLLeI7btw4goKC8PX15fDhw8ycOZOoqCjWrVsHWPf1WeLfY21fnyRStejNN9/krbfeKrfN7t276dGjB1OnTjXv69y5Mx4eHtx3333mXiqg2F+URRRFKbb/xjZK4UTs0t5bXZW5viLx8fEMGzaM+++/n8cee6xY26KECaBr164AvP3228X21+b1VVdpsVpjnGV59tlnOXjwIFu3bi22PyIiwrwdEhJCjx49CAwM5Pfff+fee+8t83jWcP3Dhw83b3fq1Inw8HBatWrF119/bZ7gWpXPzRqurTQLFixg+PDhxXqy6/LnVxZLfGYV+fmqpfz8fMaOHYvJZGLu3LnFXnv88cfN2yEhIbRp04YePXqwb98+unfvDljv9Vnq32NtXp8kUrXo2WefLXHnxI1u7GEpUvRD/fTp03h6euLr68vOnTuLtbly5Qr5+fnmv8Z8fX1LZN9FXaQ3/sVmCZW9vvj4eAYNGkR4eDhffPHFTY/fu3dv0tPTuXjxIj4+PrV+fVXl5eWFwWAoNVZrirM8zz33HKtWrWLz5s00a9as3LZ+fn4EBgZy6tQpQP13mJeXx5UrV4r9FZmUlESfPn1qNO7KcnZ2plOnTpw6dYpRo0YB6l+3fn5+5jbXf2516drOnz/P+vXr+fnnn8ttV5c/v6I7Lqv7mfn6+nLx4sUSx7906ZJVfM/m5+czZswYoqOj+fvvv4v1RpWme/fu2NracurUKbp3727113e9qvx7rPXrs/isK1Ejfv3112ITCosmm8fHx5vbLF26tMRk80aNGim5ubnmNv/617+sYjL2hQsXlDZt2ihjx46t8J0/n3zyieLg4GCeXG7N13ejXr16KU899VSxfR06dLD6yeYmk0l55plnFH9/f+XkyZMVek9ycrJib2+vfP3114qiXJscumzZMnOb+Ph4q5isfKOcnByladOmyltvvWWeuDxnzv+3c/8gycRhHMDvHdSszoODSOywoaCgP1RLNORgEEEi0SYOzoFI4NBobb1LtLQU4dziEEQEgk5qRF50FASiJTVGgVSU1PedlPferOHeyAu+H7jl7sfhw/M7ee74/Z7f9evPz88NFy7/hNhisRicTieq1eqn435S/oQPFpv/b85qi5UPDw/rY3K5nCkWY7+8vGBubg4DAwO6Haaf0TRNt0nEzPH9y8h8/O74WEiZUCaTwdraGlRVRbFYxM7ODlwuF/x+f31Mrf3B1NQU8vk8kskkFEXRtT+4v79HZ2cnAoEANE1DIpGAw+FoenuAm5sb9Pb2wuv14vr6WrfNtWZ3dxebm5vQNA2FQgFbW1twOByIRCL1MWaNr5Fa+4Pt7W2cn59jcXERbW1tuLy8bPZP+9TCwgIkSUI6nW7YhqJSqSAajSKTyaBUKiGVSmFiYgJdXV3vtpsrioJkMol8Pg+v12uKFgHRaBTpdBrFYhG5XA4+nw+iKNbzsrq6CkmSkEgkoGkaAoFAw630Zoztb6+vr3C73VhaWtKd/4n5q1QqUFUVqqpCEIT6f2XtJfOrcjYzM4Ph4WFks1lks1kMDQ19S3uAz+KrVqvw+/1QFAUnJye6Z7L2QlkoFLCysoKjoyOUSiXs7e2hv78fo6Ojpo/vK+fjd8bHQsqEjo+PMT4+DkmS0NLSgr6+PsRiMTw8POjGXV1dYXZ2Fna7HbIsIxwO61oBAMDp6SkmJydhs9ngdDqxvLzc9K818XgcgiA0PGr29/cxMjKC9vZ2tLa2YnBwEOvr6+/eps0Y30c2NjbQ3d0Nq9WKsbExXQsBs/ooT/F4HADw+PiI6elpdHR0wGKxwO12IxQKoVwu6+7z9PSEcDgMWZZht9vh8/nejWmGWo8hi8UCl8uF+fl5nJ2d1a+/vb3Vv+TYbDZ4PB5omqa7h1lj+9vBwQEEQcDFxYXu/E/MXyqVajgnQ6EQgK/L2e3tLYLBIERRhCiKCAaDuLu7a2p8pVLpw2ey1hesXC7D4/FAlmVYrVb09PQgEom868Vkxvi+cj5+Z3y/AJO2gSYiIiIyOfaRIiIiIjKIhRQRERGRQSykiIiIiAxiIUVERERkEAspIiIiIoNYSBEREREZxEKKiIiIyCAWUkREREQGsZAiIiIiMoiFFBEREZFBLKSIiIiIDGIhRURERGTQH2W4Ir3Aew0jAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba[wnba.Age >= 27]['MIN'].plot.kde(label = 'Old', legend = True)\n",
    "wnba[wnba.Age < 27]['MIN'].plot.kde(label = 'Young', legend = True)\n",
    "plt.axvline(x=497, label=\"Average\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each of the smoothed histograms above is called a kernel density estimate plot or, shorter, kernel density plot. Unlike histograms, kernel density plots display densities on the y-axis instead of frequencies. The density values are actually probability value"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Kernel density plots become cluttered quickly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Density'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "wnba[wnba.Pos == 'F']['Height'].plot.kde(label = 'F', legend = True)\n",
    "wnba[wnba.Pos == 'C']['Height'].plot.kde(label = 'C', legend = True)\n",
    "wnba[wnba.Pos == 'G']['Height'].plot.kde(label = 'G', legend = True)\n",
    "wnba[wnba.Pos == 'G/F']['Height'].plot.kde(label = 'G/F', legend = True)\n",
    "wnba[wnba.Pos == 'F/C']['Height'].plot.kde(label = 'F/C', legend = True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Strip Plots"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A strip plot is very simple to understand. It is basically a scatter plot that differentiates different categories. So, all the data that corresponds to each category is shown as a scatter plot, and all the observations and collected data that are visualized are shown, side-by-side on a single graph.\n",
    "\n",
    "Strip plots are considered a good alternative to a box plot or a violin plot.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Pos', ylabel='Height'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x = 'Pos', y = 'Height', data = wnba, jitter=False)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see on the graph that the shortest players are guards — in fact, all players under 180 cm are guards. The tallest players are centers — this is the only category with players above 2 meters. Among combined positions, we can see that F/C has slightly taller representatives — most likely because it requires center qualities (and we've seen that the tallest players are generally centers).\n",
    "\n",
    "A big downside of strip plots is that the bullet points overlap. We can fix this by adding a bit of jitter to each distribution. We can do this by setting the jitter parameter to True:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Pos', ylabel='Height'>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.stripplot(x = 'Pos', y = 'Height', data = wnba, jitter=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Pos', ylabel='Height'>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x = 'Pos', y = 'Height', data = wnba)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Outliers\n",
    "\n",
    "A value is an outlier if:\n",
    "\n",
    "+ It's larger than the upper quartile by 1.5 times the difference between the upper quartile and the lower quartile (the difference is also called the interquartile range).\n",
    "\n",
    "+ It's lower than the lower quartile by 1.5 times the difference between the upper quartile and the lower quartile (the difference is also called the interquartile range).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Games Played'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot( y = 'Games Played', data = wnba)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Summary\n",
    "\n",
    "![plots](img/s1m5_summary.svg)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12 (main, Apr  5 2022, 06:56:58) \n[GCC 7.5.0]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "d0028ce20b428eb90286e675cfc9d586ae702ba0463c3d3b035a87d9639116bc"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}