diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 9df5e53..eefb7fe 100644
--- a/your-code/challenge-1.ipynb
+++ b/your-code/challenge-1.ipynb
@@ -36,10 +36,138 @@
   {
    "cell_type": "code",
    "execution_count": 3,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Date', 'Calorie burned', 'Steps', 'Distance', 'Floors',\n",
+       "       'Minutes Sedentary', 'Minutes Lightly Active', 'Minutes Fairly Active',\n",
+       "       'Minutes Very Active', 'Activity Calories', 'MinutesOfSleep',\n",
+       "       'MinutesOfBeingAwake', 'NumberOfAwakings', 'LengthOfRestInMinutes',\n",
+       "       'Distance_miles', 'Days', 'Days_encoded', 'Work_or_Weekend',\n",
+       "       'Hours Sleep', 'Sleep efficiency', 'Yesterday_sleep',\n",
+       "       'Yesterday_sleep_efficiency', 'Months', 'Months_encoded'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fitbit = pd.read_csv(\"C:/PATRICIA/Ironhack/Laboratories/lab-matplotlib-seaborn/data/Fitbit2.csv\")\n",
+    "fitbit.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date</th>\n",
+       "      <th>Calorie burned</th>\n",
+       "      <th>Steps</th>\n",
+       "      <th>Distance</th>\n",
+       "      <th>Floors</th>\n",
+       "      <th>Minutes Sedentary</th>\n",
+       "      <th>Minutes Lightly Active</th>\n",
+       "      <th>Minutes Fairly Active</th>\n",
+       "      <th>Minutes Very Active</th>\n",
+       "      <th>Activity Calories</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Distance_miles</th>\n",
+       "      <th>Days</th>\n",
+       "      <th>Days_encoded</th>\n",
+       "      <th>Work_or_Weekend</th>\n",
+       "      <th>Hours Sleep</th>\n",
+       "      <th>Sleep efficiency</th>\n",
+       "      <th>Yesterday_sleep</th>\n",
+       "      <th>Yesterday_sleep_efficiency</th>\n",
+       "      <th>Months</th>\n",
+       "      <th>Months_encoded</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>180</th>\n",
+       "      <td>2015-11-04</td>\n",
+       "      <td>2917</td>\n",
+       "      <td>852</td>\n",
+       "      <td>6.33</td>\n",
+       "      <td>14</td>\n",
+       "      <td>662.0</td>\n",
+       "      <td>191</td>\n",
+       "      <td>43</td>\n",
+       "      <td>24</td>\n",
+       "      <td>1294</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.933278</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.583333</td>\n",
+       "      <td>95.092025</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>November</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Date  Calorie burned  Steps  Distance  Floors  Minutes Sedentary  \\\n",
+       "180  2015-11-04            2917    852      6.33      14              662.0   \n",
+       "\n",
+       "     Minutes Lightly Active  Minutes Fairly Active  Minutes Very Active  \\\n",
+       "180                     191                     43                   24   \n",
+       "\n",
+       "     Activity Calories  ...  Distance_miles       Days  Days_encoded  \\\n",
+       "180               1294  ...        3.933278  Wednesday           2.0   \n",
+       "\n",
+       "     Work_or_Weekend  Hours Sleep Sleep efficiency  Yesterday_sleep  \\\n",
+       "180                1     2.583333        95.092025              0.0   \n",
+       "\n",
+       "     Yesterday_sleep_efficiency    Months  Months_encoded  \n",
+       "180                         0.0  November              11  \n",
+       "\n",
+       "[1 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "fitbit.sample()\n"
    ]
   },
   {
@@ -59,20 +187,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "monthly_steps = sns.barplot(x= 'Months_encoded', y = 'Steps', data = fitbit)\n",
+    "sns.set(rc={\"figure.figsize\": (12,4)})\n",
+    "plt.xticks(rotation=0.5)\n",
+    "plt.savefig(\"monthly_steps.png\")\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 21,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "steps_w_wend = sns.barplot(x= 'Months_encoded', y = 'Steps', hue='Work_or_Weekend', data = fitbit);\n",
+    "plt.savefig(\"steps_w_wend.png\")"
    ]
   },
   {
@@ -86,6 +242,78 @@
     "* Minutes Sedentary vs Steps  "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Date', 'Calorie burned', 'Steps', 'Distance', 'Floors',\n",
+       "       'Minutes Sedentary', 'Minutes Lightly Active', 'Minutes Fairly Active',\n",
+       "       'Minutes Very Active', 'Activity Calories', 'MinutesOfSleep',\n",
+       "       'MinutesOfBeingAwake', 'NumberOfAwakings', 'LengthOfRestInMinutes',\n",
+       "       'Distance_miles', 'Days', 'Days_encoded', 'Work_or_Weekend',\n",
+       "       'Hours Sleep', 'Sleep efficiency', 'Yesterday_sleep',\n",
+       "       'Yesterday_sleep_efficiency', 'Months', 'Months_encoded'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fitbit.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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HNolVcz62IQtmPwz1/nRdb8aS9QWco+hzxvWK+PeqoXzmQk0mk/4AJGIS6127dmH27Nno0aMH8vLyADiSW7PZc9TH+bdWq4VGo/FZDji6fGi1WsnWEQy7nUVVlT7oxwdKLpchPl6LqioDbDa6YMEfipE4dYmTRiHjTR40ChkqKurvot5QEopTpMdCo+L/+teoFHXevmj+zNlYoMZkg95oQYxWCZ1KDjkD7gmFRqfDarKgwsRd0sH12GmjMxCnU0VlnOoqkP2wvvanKqPN7+cWcCTX5deMsPK8z+EUzZ+5+uSMk91ulzy5jojEev369XjxxRdx11134d///rdrBLlVq1YoLS31uG9paSl0Oh3i4uLQsmVLVFZWwmw2e4w6l5aWIjk5WbJ1BCscV+TabHa6ElgAxUicYOPEN5Mha7ODv9I0+vDFKZJjoVXyJ/5apUyyz0m0feaELqbzO6GQnYXV7rjQjqvDhRzw+1jnNYvRFicpBLMfhjpOeiN/0qw3WqBTRG45CNA496VghOLa2LAn1h988AFeeOEFjB8/Hs888wwYt4KXXr164fvvv/e4/4EDB9CjRw/IZDL07NkTdrsdhw8fdl2geOHCBVy+fBlZWVmSrYMQIh7NZFgrkmNB07n7J7abi/uEQiwAvdUOg8mKuBg1VvMk5f4nI4rsJC2UInE/1Gn4UyOh5aRxC+veceHCBbz00ku48847MWXKFFy5csW1TKPRYPz48Rg5ciTy8vIwcuRIfPvtt/jiiy+wZs0aAEBycjKGDh2K+fPn46WXXoJWq8Wzzz6L3r17o3v37gAgyToIIb74+s429JkMWYZBldGG0pJyaNUKaBQyzgQgkmMRyYm/u/qcZCfQlnruo9tjB6eiuKQCx85EbovFSBRp+6FWKRcYRZdH1OeYRJawJtZffvklLBYLvv76a3z99dcey0aOHIlFixZhxYoVWLx4Md59913cfPPNWLx4sUf7vBdeeAEvvfQSpk+fDgDIycnB/PnzXctTUlLqvA5CiKfG3He2ob32SE78gfqPt5iWeq6Raq9t69Q2AZt3nfb7OKE+141dJO2HkTiKTqJH2GdebKho5sXIQzESRyhOdZl9Lto15tcejLp+5sIRb73Vjul5uzmX588e6EqOve/71ANZWPQe9/wHr0zvj+axvt0k6LtJnPqOU32eKZEK7UvihHLmRTp0JoQEJNInPgmlxvzaxfCeUMNWxxwkHPF2lgH44yoDuMF7dFslMHMi1eZGF+coevNYFXQ85V6EuKNPOSEkIIGcKm9oGvNrF8JVsjFjbGbQPzThiHcgZQDeiXJRSQUyUpJ8aqydj6faXEIaPkqsCSGiOE+LsiywYGIfFJVUYMeeczCaPUcNG/KoHHUL8I+vk8ayzUcw896MoNYbrniLvZjO+yK3HXvOYc64XgDgkVxTbS4hjUfj/BUghATE32hkRkoS5ozrhcXrC1zJdUMflaNuAf4JlWzUmGxB9f0NZ7zFXEznPbptNNuweH0BJo3oikkjusJgtERNbS4hRBqUWBNCeHGNRjpH5HJzOmDzrtONYlQukroFRNKFVcIlG5agSjYiKd5c+Ea3YyKgwwUhpH5RYk0I4cU3GnnsTBkeGt4ZOd1vivhROakS0dpEyg6j2QqNSgGtsn4vbAplC7pg4iRcsqEMensircexP5HUKo5Ehkg68CX1ixJrQggvodFIk9nmaCEWwT8aUieiDMsiXiNH21bx9d7WSuzMgMEINk5CJRtKhQwsg6C3ixJXEk0aWq97Ehhqt0cI4RXtF+wJJaIsE13TSYeqBV1d4uQs2fBuU5eRkoRht7XHP17bjfythbBFWawJCVRD+74hgYvsX0RCSNgFcwFZJJ0GDXSK6kjBFcNQtaCra5zcS2QuV+jBwNF+znlxq/eIeiTtI5GKYhR9ovX7hkiHEmtCCK9ALyCLtNOgoe6FbGMdM/BJmfzwxTBUZxCkiJPjdbN4Ye1Bv8uPFJfBaLVBpZBH1D4SiSLtc0TEoV73hBJrQoggsReQhbL+N1ihLGUpqzRg2YfHJE1+hGI4bXRGSFrQSRUnocSCZSNvH4k0kfg5IuJEe+kcqTs6H0EIkYzBYhc4DVp/F/k5BTJFdSBsLLBs8xHJaymFTiWbLFa/9cx1bUEnVZyEEgc7y4Z0mnLvadVDUdMa6ucIx1TuRBqh+r4h0YMOnQghgsSelq4xWHjXU2OwQBdXv6dBQ9ULucZk8ztqDNStllJoxLfGYIU2ViZ5Czqp4iRUk280he5UeX2UT9THc1A5QfSKht7rJLQosSaE8ArktLRGzT8aI7Q8VELRC1lv5D+ICDb50WkU0KjkyM3pgE5tE2C22KFSylxTyDtHhEPRgk6KOAklFiaB0dZgT5XXR/lEfZVoUDlBdIuG3uskdOjTSQjhFchV7mqlHBkpSa5ZGd1lpCRBHcbToFInokKTngSb/OiUciyY2Bebdp3G5l2nXbdnpCRhwcS+0IW4C4sUceKbRCdU05TXRzeG+ur4EM6p3AHqRiIF6r3eeFFiTQjhFchpaZWMwV8GpwKAR3KdkZKEvwxOhUrG1OkHJlw/+P6eN0YtC0nywwL48L+nfQ5Ojp0pg0wGx6io2+2R2j2CaxKdUJ0qF7OfauPUddp/xH4W6rqfhrOcIFL3J0KiBSXWhBBeAZ2WZlm0aKpBdvebMCKnvauMobzKiBZNNXVKqsP1g8/1vNNGpWPG2EzHBYwSJj+BjIpGa/eIUJwqF9pPtRol8uu4/4j5LEi1n4ajnCBa9ydCIgkl1oQQXv5OSztrgNM7NneM4rn96MtYFpkdm3skBG1bxNbpBzlcP/h8z7t8ayHmjOuFmfdmoMZklbB2W/wZgmiejELqU+VC5RPFJeV13n+EnkOjUmD5R8ck20/ru5wgmvcnQiIFfUJI1KiPNlrEl/d01RqVHHPG9UJxSQXmr/o/zM3fi+l5nlNWOxOC5rEq6BSyOie9Qj/41Sar4D4RzP4j9LzXqk2QM5D0tQZyhkBMEt5YcE2rnpmWhEdGpmPN9hN+HxdI+zq+53BcmGmN6jZ5tD8RUnc0Yk2iAtX9hZf7aWmAwdodJ3xqgEM5eiz0g/77FT0WvXeIc58Idv8Rbn1nQYxSLeIViBfIhWuh6B4RzReucZVPlFebYDRzJ7WBdHDhK9GoMUR3mzzqRkJI3dGINYl4QmUANHJdP5yj0EBoJ/jwR+gHXaWUuZ7fe5+oy/4j9LwxWv7OIMEQGhV1T3KlnozCxjDI31KI6Xm7/Z6JiAb+zpZo1dImjFxnZKI9MaXJTQipO0qsScSjWcgiSzhOF/P94GekJKGopML1t/c+UZf9RyjRaBIr7Wi1k3NUNH/2QLwyvT/yZw/EdD+j64Ek4UIa8gFsMAljMKVD0Z6YSrk/EdJYRfbhMyEIzSxk0Xy6O9zCMSrH1X4sIyUJudntsXh9gcf93feJuuw/vG3PRqcjTqdChYl/ophgib1wTaruEQ35wrVA29cFWzrUEGbdawiTm9D3OwknSqxJxJM6kTPZWKrXroNwTV7h/oNfY7CixmhBUUkFFq8v8KmfjdEqXD+uahX/KKHQ/sOVaChlkTOCK0X3iIY+jbbYhLGuHWgaQmIazZOb0PU4JNyic/iBNFj+Tr9KeXr1ut7M+6MJhqHuIwLCebrYVdsar8bOveexeddpn6S6T5dkKBVyV63wgR8vITO1bvuP1F1OIpFwPbki6j8bYt5HKUrPGsP+EokacjkTiR40Yk0iBt9EHFKdXr1WbeL80Tx1oRxmFli9lUY7hIR7VI7vlPukEd2wwq2XsFLO4OF7umH1x8d9ZoN8eEQ31OdPbSSfouY7E+F+sNLQPxsNfeS+IWvI5UwkelBiTSKC0EQcM0alS5LI1Ri462Fzczr4JNXObaBZx3yF+3QxV3JvMFtx6mI5xg5ORae2CWjeVIt1n/yItLYJHrNBFpVU4J2dP2JibheoJMyuuZLnSD9FHcjBilND/GxEe2ePxowOikgkoG8IEhGERhr0N0Ya6prI8bVH69Q2AZt3nebcBhrtiDz+knuDyYo543phx3eOUpEFE/vg+5OX8f3Jy37XMe7PnaDyqsP2To41KgVMFitqDLXJsj9cyfOjo9KxdvuJiE9M+Q5WInUkUOqzAOG6hoDUHR0UkUgQUXvZ6tWrsXfvXrz//vuu2+bPn48PP/zQ435/+MMf8L///Q8AYLfbkZ+fjw8//BDXr19HVlYWFixYgNatW7vuf+rUKbz44os4ceIEEhMTMWHCBDzwwAOu5WLWQUKrvkYamsSqOX80hX4qabQjOsTpVFj/RbGr7MNssfPe32iyIc4tsfaXHLt3HzGaba6RZnd8Z11Wbi1ESusEHPST3Ic7MfXm72AlUkcCQ3EWoCF09mis6KCIRIKgv8m///57HD16FADw22+/4ZFHHsHw4cOxfPnyoNa3YcMGLF261Of24uJiPPLII9i7d6/r30cffeRavmLFCnzwwQd44YUXsHHjRtjtdkyaNAlmsxkAUFFRgQcffBBt2rTBli1bMG3aNOTl5WHLli2i10FCr75GGuJ0Ks4L71ok6OplG0hoWW2sRy21c/IYLu5nMbiS42NnyrDju/PIzekAoHak+bq+9jtC6KxLp7YJnNsQ6VNFR+JIYCgvVBPbR5xEFurDTSJBUN+G27Ztw7x58/DQQw+he/fuWLBgAQ4fPozbbrsNq1atglKpxOTJk0Wt6/Lly3j22Wdx8OBB3HLLLR7LWJbF2bNnMXnyZCQl+V7Vbzab8fbbb2P27NkYOHAgAGDJkiXIzs7GV199hWHDhmHz5s1QKpVYuHAhFAoFOnTogJKSErz55psYPXq0qHWQ0KvPkQa1nPF7utv5XI1ptMPfafRopzd61tEXlVQgIyXJZwp2wPm+ylzvK19yfOxMGUbktHf9faS4DNeqTYi5kbgLJcd8I+dSJ6aNoTwi1BeqhfsaAhKccF9YTUhQ3zrr1q3DyJEjMWfOHJSVleH//u//MH36dOTn52PWrFkeo8FCfvzxRyiVSuzYsQMZGRkey3766Sfo9Xq0b9/e72OLiopQU1ODfv36uW6Lj49H586dcejQIQBAQUEBevfuDYWi9oerb9++uHjxIq5cuSJqHST0Qj3SwDIMqow2FJeU47rJ0S7Lux1WYxvt4Jq+2mSL7tep03jW0e/Ycw652e2RkSL8vgaaHLtfDCuUHMfq/Nf3Sz0jXyimJY/Ez0Y4ZgAl0YHaHZJwCmqY5Pz583j66acBAN9++y1YlsUdd9wBAOjWrZvfkg4ugwYNwqBBg/wuO33acSHZ+++/jz179kAmkyEnJwezZs1CXFwcLl26BABo1aqVx+NatGjhWnbp0iWkpqb6LAeA33//XdQ6gqWox5pJuVzm8d9opAAw894M1Jhs0Bst0GmUiFHLIWcA1KEpGt+EMGrHymFjceN5zZg4vCsU98hwXW+CVi3NNkSK2tdpgcVmR0qbBJy6WO7qBe08jT5nXK+Q7kvu2xGjVUKncsa47hQs6zFCbTTbsHh9AXJzOmDMHSlQKmSI4di3vJNyb95lJTFapStOMXIZ76hucqLOZ7lzBkfHZDN1D4CNBVZ8yN29Y+a9GUHHOZjPp/v3ktTvudB7pdMo6/U7uC4awvd3faA4CaMYieOMTyhamweVWMfHx6O6uhoA8N133+Gmm25ylXH89NNPSEjgriUMxOnTpyGTydCiRQusWrUKP/30E1555RWcOXMG7777LgwGAwBApfK8aEatVuPatWsAAKPR6Hc5AJhMJlHrCIZMxiAhISboxwcrPl5b788pteYSruu63owl6ws4E40543rBaLZh2YdHfBKeGWMzkdQ0+uPpVFZp8HmdGSlJmDOul8fshc4Sh5tbxIVsO34ovozEeA3MFjuqDRaUVxnRo1OyYLyv6824Vm1CjcGRnDWJVSNO5/nZLfupHLnZjrNc7sl1cUkF0tokQKuWo22reL/rV+jN3MlxahLiY9RYMLEPikoqUPL7NZ/nnzE2E8s2++5LM8dmonlTLeaM6yW4/XV57b+UXuctjzBa7XV+X4P5fJrswLKPjkn6GeN9r9KSkNhEIzq2kaIhfH/XB4qTMIqRODKZ9AcgQSXWffr0QX5+Ps6ePYv//ve/ePDBBwEAX375JV5//XX0799fko179NFH8be//c2VqKempiIpKQljx47F8ePHodFoADhqrZ3/DzgSZq3WsVNpNBqfixBNJhMAQKfTiVpHMOx2FlVV+qAfHyi5XIb4eC2qqgyw2fi7IDRU/kbE9Gab3x9ewJFoVFWbsfpj/xdALdt8pE4jfJHExgLL/IxkOhPP3JwOHq0GawwWVFUZYLbaJR1ltLHApXIDvjv6m89kLTc1jwVjt3OuX8yZBwBQKxVYvP7/kJvTwadv9eL1BcibmYOKihrObfTuCKFRyTExtys63twUpRV6KBUyJDXV4s6s1ojTqTw+c5yjuqzd9ZwxShlilI6De6vJggoTd2/1QF/79Rr+C66v15h5X7vU5HIZGIUcyzYdCclnjLN7x+h0WE0WXDFaQnZmREr0/S0OxUkYxUgcZ5zsdrvkyXVQifUzzzyDOXPmID8/H/369cOUKVMAAC+//DJuuukmPPHEE5JsnEwm8xn9TklJAeAo8XCWb5SWlqJNmzau+5SWliItLQ0A0LJlS5SWlnqsw/l3cnIyrFar4DqCZbXW/05ts9nD8ryBCMXsc1xttyaP6AaNSu4z7bWTycLfn7fGZI2YNmh1obfaRV+UBzjqgfVmm+StzMwssGnXaZ8LCZ1/Pzqqm9/JWoQ6QLj3gdYqZbi1XaLfnuTOixX5PiNywHXxk8FkhU6rwlvbjmP5R8dc98lIScIfkmIRo1P5/czpFIzrojfWZkddqn3FvHbAcTGfWsVfq63TKOr0/RDMZ7fGGLrPmPt75bFNdhYmFhE9IY8/0fD9HQkoTsIoRuKE4qsgqMQ6MTERa9eu9bn9gw8+wE033VTnjXKaO3cuSktLsW7dOtdtx48fBwB07NgRrVu3RmxsLA4ePOhKiquqqnDy5EmMGzcOAJCVlYWNGzfCZrNBLnf86Bw4cADt2rVDs2bNEBcXJ7gOIp1Q9J3lSzze3H7cZzTWndHkP+F2CrQ/bzimrBbznIFclJeZlgSNWoHX/+N/lJFrQhMx22Gy2Px25wAcybXJYvOZrAUIrAOEFH2InRc/KeQqrNx6nPNAYNq96dDUYQhUTMyEJ0+y4+0djslnxg5OFeiAEnz3jmA/u3yznQJ174Htr3tHIAdihBAipTr1eNq7dy8OHTqEyspKNGvWDH/84x8lTaz/9Kc/YerUqcjPz0dubi4uXLiAhQsXYtiwYejQwdFPdty4ccjLy0NiYiL+8Ic/YPHixWjZsiWGDBkCABg9ejTWrFmDZ555BpMmTUJhYSHWrVuH559/HoCjtlpoHUQawfzYSZF4jL49hXP0km8mRiCwNmhCiUd9jtR7JztCr8N5UZ7zNHqN3iKQyNqhU9QmlGK3Q+hAxnuyFqdAJyiRquWW0IGAwWSDRhfc16jYmAm99tIKvWsdO/acw5xxvVzb573eYPe3uiSqUn7GxAp1Kz5CIpGz+1VpSTm0agU01BElLIL6Rrt27RqmTJmCo0ePQqFQoGnTpqisrMTKlSuRk5ODZcuW+VwMGIw77rgDS5cuxZtvvom33noLcXFxGD58OB577DHXfWbOnAmr1Yr58+fDaDQiKysLa9euhVLp+DJv1qwZ1qxZgxdffBEjR45EUlIS5s6di5EjR4peB5FGoD92UiUeKoVvtwbnemSQpne1UOIxdXQGVnx0LOQj9RqVHCmtE3C5wgCVQuZKKIX6ELdI0CF/9kBolXIoZQzKBUYZawwW6OJUol67e9IllGRxLdeq+b+q/C2Xog+xQehAwGyFTauA3moPKIEPJGZCiaf7eLl7B5QROe0d3U+0dT+Iq0uiyjfbaah6YEfqTJGEhEoozgaT4ASVWL/00ku4cOEC8vPzcccdd4BhGNjtduzatQv//Oc/sWTJEjz55JMBr3fRokU+t/35z3/Gn//8Z87HyOVyzJkzB3PmzOG8T3p6OjZt2lSndZC6C+THTsrEQ6dR3Bi9tMNotkKjUkCrrD2S5yobmHxPNxitNmgUwkmJUOJxuVwv+Wlp7+fUqOSYM64Xdnx33mOEPjMtCdNGpfOWRzi+eJkbCQ4DjYo/phq13DUCb7OzopMurZK/JZ37ZC3ulAo5Z4lDRkoSlAo5hCelD5zwvqXEGx8GfsAUSKIqdFBUVFLhcZvRbHO9/69M7+9YTx1/WOuSqDpnO63PKcIjcaZIQkKFSp8iS1DfLrt378bs2bMxePBg120ymQxDhgxBeXk58vPzg0qsScMm5scuuGRNeFY4hmURr3G0WauoqPG4qIMBcFv6TRjev7aDxNVrRly6qse/3zuEW9slCiZKQolHtd7/CHBdTkt7P2duTgfs+O68T/J5pLgMy7cWYsaodNHlEVo1fyKrViqQf+OL/KkHsgS305l0BVv/bLHZfFroObclN7s9LDYbrIDkNe1qpQyZqUl+98XMtCQUl5QH9WMWSKLKF7NHRqbjH6/t5lyPVAlkXRNVrtlOQ/VjH4kzRRISKlT6FFmC+tZlWRbNm/vvZtqqVSvo9fXXZo5ET12V0I+dWqVA/o1yifpI1gBH7Jb7OdIHbiRtNy58FEqUxNYwC72WQHg/Z6e2CZwXaToucnN8uYopj4jVqfCXwY6JlbwT2b8MTsWpi1ddMeN7bf62M5j6Z4PR6lHi4N1C7+kJvbHgzf2Sn/pUMgzGDk4FC+Co2z7SPTUJD4/ohseXfuv3cUI/ZoEmqpwxA3Bru0SP/V6jkiM3pwPSOzZ3JPARMqV5fU4RLsUFrIRECyp9iixBJdYjR47EypUr0bt3b8TE1E6CYrVasX79eo/6ZRJa0VRXJfRjt2bb8XpN1gD+I333NnRCiVKgp+v5XotY3s/pPd22t0C+XON0KrRoqkF295s8EtnyKiOaN9Fg4doDrvsWlVSErBMF4Dj40agVeOy+Hq5keseecx4tFK03+rVKfuqTZZHURIP+GTchN9szDtUGM2cbR4A/3sEkqlyJ6bRR6Th69goS4zWw2lj8ISkGb20/4VMOVJfvhGhMVKW6gJWQSEelT5ElqGhrtVpcvHgRd9xxB+644w4kJyejoqIC3377LS5duoQmTZpg3rx5AACGYfDSSy9JutHEIRrrqrh+7IxWGw6evOy6XzDJWjAjYoG0oeNLlAQPGnac8Pu4uiSe3s8pdDASo1UE1JlEJWeQ2bG5x/3btohFebXJI6EMtBNFIAeD/u7rPVtkRorngYvUpz5lLOs3DgaBAxm+HzOh8o7yahO0apEXQgLYd+w3V7u9T/dd8FsOVNfvhGhMVOtzlJyQcKHSp8gSVGK9Y8cOxMbGAgD279/vsaxly5b44YcfXH8zoZiInQCI3roqfz92NQbPBDdUbcO8BVLCIXRfvsRjUm5XmK12yUf73J8TYDi/XPt0SYZSIXfVRXtvA9dIpr/3yrsDRyCdKAI5GOS6r/tskcUlFcjNbo/F6ws87lPXU5/+DkC84xCjlqNPl2S0bdUEndomeJSnlPx+TfDHzHt/0WqUKC4pxz9e2+06cBF6f7xjJFQOVNfvBEpUCYk80XhGqSELKrH+3//+J/V2kCBEal1VMP2avZPWYNqGBfO8fEf67iOhwdaRsoCrFdvE4V2huIfBdb1Z9GikGM7nBLg7nEwa0c2n3R8Q3Eimv5g5O1FkpiXVrsvP+gI5GBQq05kwrDMAuEau3dXl1KfYEXU5A0wa0Q35Hx7zSGYzUpIw7d7AJqLRxql9DnoA4ffHO0ZSlgMRQqJH7YG6/+5XpP7UqfDGbrfj9OnTKC0tRY8ePWC1WtG0aVOJNo0ICXVdVTCJarA133VJ1uryvFxH+s5uE4vXFwR91C+4TSH4wuMaNTeY+aeVDmQksy6jI4EcDArdt7zKyDNteXCnPgMZUbexwIotx/zOyrgywIOVYM8+ecco0GsTCCENB1/3K1J/gv6W3b59O1599VWUlpaCYRh89NFHWLZsGZRKJV599VVJJogh/EJZVxVMolqXmu+6dvaoS625bzKqhELuGFnOm5kd1Mhyfda/iylbkPrshr8EXqNSwGSxosbAfSAWyMGg0H1bJOg4J/4JNraBJLg1Jpvfz56/+woJ9v3xjlGoLyQlhBDCL6jE+rPPPsOTTz6J3Nxc3H777Zg1axYA4M4778Tzzz+PFStWeMyOSEIjVHVVwSaFQklJtckKuYzhTFRD0dlDbILjUzsKoFlMHWbsq6f6d6mmNA9mJNM9ZjaGwXIRM0sKHQzqlHLYGQZ6kxUM+GfF1Cllkl9MF9iIOv/slIEcrAT7/njHs76uTSCEEOJfUIn1qlWrcN999+G5556DzVZb2zh69GiUl5dj8+bNlFjXk1DUVQklhc7ZCL0TGqGk5Pcreix67xDvyHcoOnuEo660rtskpgwnkAOgUJ7dCGQ7GABjBqXCbvfTH/uOVFgBLP/QUV7hnEnS+77uSSLLc3G0FLX+XMudLQDrsi53wb4/3gfXzmsTJo3oikkjusJgtERF9w5CCGkogkqsL1y4wDmzYkZGBpYtW1anjSKBkbquii8p1KjkkDEyv90lHhrelXe9zvpPqcshQl1rbpfJoDdZUWOwIFarhFatgMwefKs1gL/1ndhR6EBGxUN51Xgg26G32LBw7QG/E70cO3cFRRfKXUm0+wWsY+5IgUohc5XpXKsxIVanxmqOODGAz8Q/wdb6uz9eq5TDBmDFlkKktEmQrOyiLu8P35meGOreEbRgDswIISSojKNZs2Y4d+4cbrvtNp9l586dQ7Nmzeq8YSR8+JLC3JwOeNNtIhenI8VlKE4vF9Vhw3n/QMshuH7oQjkaa2UY1wiq+2uZdm86FEEmaHyt7x4dlY6120+IGv0NdFQ8VH2IvbfDOfOfswWdze5475gbtd7Oi1K9LZjYB//5stjjNud9N+86jTeeGIi1O064+jUXl1Rw9mu+Lf2m4Gr9wT2iPmZQKsAwePeTHzG0f3s0b6rBwB43463txyU5WKnL+0Nt8KQVTRNvEUIiS1CJ9d1334033ngDLVq0wIABAwA4+lWfOHECK1aswLBhwyTdSFK/+JLC9I7NOfvkrtl+AksfH4jVH3N32HAXSImG0A9dKEZj7TKZT1INOBKu5R8VYsaYDM6Ra4Zl8eiodCz/qNAnQeNrfbdyayFSWid4TJbjvtz9YCSYkfpQJGDuz+Ms39jx3Xm/M//FaLm3WahVXLXeIrpf8/D+7TmX+Tugcx601RisMFtsGJ7d3mdEfeHaA8j7Rzbu+1MnvLXthKtcJTenA0bfngKlQgadWgGdKviDFUqQwy8aJ94ihESOoBLrxx57DKdPn8Zjjz0GmczxAzV+/Hjo9Xr06tUL//jHPyTdSMKPZRhUGW0oLSmHVq2ARlG3Gmu+09JKnhFmo9mG6zUm16hbjcGKGqMFRSUVHL2GlaK2R8wPXShGY/Umq9/T/IAjudabrIjlaG/GMgzWbj+BtLYJPglaaYWet3RieP/2GDs41WfSkR17znkcjIgdqQ/1KW337cjN6YAd353nHEmeNjqDc5tjdfz7g06rcMVFrVJgwcQ+fqc3BwCL1S4qhgD37I652e2xdOMPHutWyGRYufW4R7mKc0Q9I8VxxoGSrugWrRNvEUIiQ1CJtUqlwpo1a7Bv3z4cOHAAlZWViIuLQ+/evTFgwACabbEeheqUJVeiqvdKYLypVQrXqJsiVoUPvir2m5xmpCRBIRe3n4j9oZN6tK/GIND1wWBFrNL/iLvB4pii3d/Ic/ubmvCuV6NSoLikwmfSkTnjenmM+Iqpy62PU9ru2yE0kmw0Wzm3OTlRh+4pSTjqZ3/JujUZCrmMMy7eB24tEnT47P8uCsZQzOyO7uswW+28B1tmq02wlzSJbJF4MTQhJHoElVhv27YNAwYMwG233eZTZ11WVoZt27bh4YcflmQDCbdQn7L0l6gyDMN5wVZGShJkbgdV1/Vm5GY7Tsl7l0PkZrfHdb25tqUdB5ZhYLOzeOqBLI9RR/ckKlQ/dDFa4RFULnx1xxqB0VY7y/otPwGAGWMyALfyE76R+mD2j2DPfji340qVifd+eqMVOgVHmzy7HVPv9V8+M3mkY4ZDrri4J8CZaUk4+2ulqBgKze44Iqe2pCQzLalOB1skOoT6YmhCSMMW1DfEvHnzsGnTJiQkJPgsO3XqFN544w1KrOtBOE5ZMgzLmywzDAuWkcFgsUGllGPx+v1+O0AsXl+AvJnZvM/FdYree4RSih86f+USMWoF70GETq3wSHLdiak79vdaMtOSUHj2it91HjvjGPH1fk+5RuoD3T/qOrrNsCxvDTVQGxeubVawLGaMyYDeZIXeYIVOq4BOrYDBzF+W40yAM1KSMCm3K554fQ/nfd1jKDQ66az7dsbBIHDGhu9gi0SHUF4MXVfUqYSQyCf6V2Dy5Mk4d+4cAIBlWUybNs3v7IpXr15FmzZtpNtCwikcpyw1Cjm+OnjRb+3wVwcvYtKIbsi/cWHe2MGpSGubGNS000Kn6Efe3hE2G4v0js0dcfDzI+P9IxQj93+QwZVQThuVjmkcI6jT7k3nbbknpu7Ye7Q1My0Jk+/phllLvuVcr7/3lOvHNpD9I9jRbZ8ZH5Vy9OmSjLatmvjUN5f8fk1UUiKz2xGrlNWO/Nrtgq9Fp1biX4/8EYVnr+DXshqfswBcr1vooKxVcx3yZw90xVRXh4MtEh1C2ZqyLqhTCSHRQXRi/cgjj+DDDz8Ey7L49ddf0blzZyQmJnrcRyaTIT4+HqNGjZJ8Q4mvcJyyZFgWk3K7YsXWQr9dH9a4teKryyxwQqfoJwztjHWfnvS7DXKe2uIZYzM9dnq+hHL51kLMGJXudwRVqI+12LrjY2fK8NDwzsjpfhM0KsfILF9S6P2e8v3YBrJ/SDW6PW1UOibmdsXyjwp9Ruen3Rt8UqIVmoxFq8DMV3cDcLTt472v20WzQqOTsWrHNQPOgwGZ3R70wRaJHqFqTRks6lRCSPQQnXn16NEDPXr0AOBorTd16lS0bt0aAHDt2jX89NNPuOWWWxAXFxeaLSU+tBKMDgaD60fHaLV5XKznPsHHiJz2iNEoEaMV9wMlNEJZft3I23mCq53dss1H8MjIdChu9FUWSij1NxJK7xFUMZxxKhOoOzYYbWjWRI3lHx1Dp3aJyExN8rtN3qP8Qj+2fB04vNcl1ej20bNXsO/Yb35H51fWIQGQCdT2M6it7S8qqeC9r/tFs8GMTnqUq9zY/8UcbDUGYs8SRYNIan1InUoIiR4BDWkWFhZixYoVuOuuu1xJ9fr167F48WKYzWao1WrMmDEDEydODMnGEk8My4ZkdFDsc3v/6NQYfJMz98lAXpne3/HlL2K7hEZbufqJHCl2tMHj+xH6tawaO/eex9RR6SEvp2FYVvC1aDVylFYakNImAUo5gzF3pMLO+p+gxP11C/3YmizcHTi8k0apRrcT4zUhSQCEavvB1L4WrjMlXBfNBjM6KbPb0VSrQLubmkgy22lDIPYsEQkcdSohJHqI/r4rKirC+PHj0bRpU1epx/Hjx/Hiiy+iQ4cOeOyxx3D+/HksWbIEbdu2xeDBg0O20cSBZRis3FIo+ehgsDQCp+uFlrsTOkXvPoujN6HODRqVAimtE7BmxwmM/3Nn3vtKUU4jVJe7r/B3Vx/kyfd0xTMr92FI31v8T1AyM1v0hXc1Biu0sRwdOLz2i0Au2OJ7XqFJXoJNAIRq+x8e0c21/d5nSlgWiNMpUVBUynnRbCSNTkYjvrMYyzYfwcx7M8K0ZQ0DdSohJHqI/jSuXr0anTp1wrp166DVagEA7733HgAgLy8PnTp1AgBcuXIF77//PiXW9SDSTg8Kna53b8UnhO8U/SMj0/GP13ZzPlaoTZ7RbEVxSQVys9tDqWBC3gGAry7XfUbKY2fKsGb7CQzpewtnTXYgF94JdeBwJ6YkwnmaX62Scz6nUA/nYBMAodp+md3usf3OMyXOGC94cz+MZlu9dHUIpHNDqO5b34S+i2pMNugUNL9BsCK5UwkhxJPoX7lDhw7hqaeeciXVALB37160bt3alVQDQP/+/fHxxx9Lu5XEr0g7PSimFR93EYcvzlP0AG5tl+jxI+PsE53esTlkDHeynJGShDO/VCKtbQLUKjmuVZsxZWS6zzTsUncA8K7L1XPMSHnkdBmGZ/ufjhvwTEyl/rGtjbcdRrMVGpUCWqXMZ6KZsYNTOQ+gyquMIUsAvPeHGK0CaqUCRnNtrfO00RkwWayOqcmtdhSeveKKcX10dQikc0Oo7hsOwt9FFipVqINI7VRCCPElOrGurKxEy5YtXX+fO3cOFRUVPiPTWq0WZrNZui0knOp6elDqETCh0/WTc7sGnFRxjbY+Oqp2BNi7T7Tzb7vdN8EfkdMeDMNg27fnXCOfGpUck0Z0xUPDu8JgtIRsNNDZRs5oAhauPch5P66n9U5MQ/Fjy7As4jVytG0V76od9j7Nz9ftpXvH5sjo2DxkCYD7/mBjGCz3ukjV+TzaWBlYhkHT7jehV6cW9TLCG0jnhlDdN1yEv4v4zyIRYZHWqYQQ4p/oxLpp06a4evWq6+8DBw6AYRj069fP437nzp3zacNHQqMuI5ahGAETOl0v1Q8AyzBYu/2EK4GPj1Fj/RenXEmee43tmDtSYLezsNrsKCqpwNlfKvHj+XKPhNBotiH/w2PITEuqTVJ4+mEH+2Nml8mgN1lhs7NYOmsArlwzIn/zEVRWex6INm+q9RkR5ophqH9sWYZBjdmGP/W9BcOz27tmixTq9hLINgUTX7HJZn3WTQdSmhWq+4aL0HdRjFoO1kYXeNYVXQtASOQTnVj37t0bmzdvxpAhQ2Cz2bBlyxao1WpkZ9deCGQ2m7FhwwZXWz4SWsGOWIZyBKw+RlUMFkdbP2drvwUT++Co12tx1thu3nUaCyb2cY0QL5jYBx98Wex3vaGYjdDJyjBY7jUld0ZKEv716G2Yv3KfK7nOTE2CWinDo6O6wWpjHafQBWIYqh9bk43lnfmSr9uL9zbZbyToNQYLYrVKaG+0pws2vpGYbAZSmhWq+4YL33fRzLGZkLN28L8KQghpGEQn1o8++ij+8pe/YPDgwWBZFr/99humTZvm6lu9ZcsWbNiwARcuXMArr7wSsg0mnuQsi2mja2t3YzQKV9LCJdRJSahHVbwTDaFOFO7PHkjXCqkOQOwymU9SDTjKKN7adgLTx2biX28fdLTUuyMVNjsLrZyBSsGEbWTqut7MO/Olc7ZIQLgMgOugYvoY7n7jQvGNxGQzkNKsUN03nPwdVMeoFWjeVIuKippwbx4hhNQL0dlTSkoKNm/ejD59+iAlJQXPPvssZsyY4Vq+dOlSVFRUYPny5bj11luD2pjVq1dj/PjxHredOnUK48aNQ/fu3TFo0CBXJxInu92ON954A9nZ2ejevTsefvhh/Pzzz5KvI1I560xnvrobTy3fixmv7sbyLcdg4+nAISYpqS8sw0BvteNKtRn6G/W8QrwTCaFOFC0SdMhMSxJ130BnIxTafpZhoDdZ/V7oBzgS1RZNtVgwsQ/S2iZg4doDsNlDWwcsJt7Xqk28M192apsAwK3kiON5zCzj0w3FuY7L5XrB+HKJxGTTWQ7hj3ecQnXfcHMeVDePVUGnkEFOjUAIIY1MQMOSHTt2xEsvvYTVq1fjr3/9q8eyjz76CP/9738xYMCAoDZkw4YNWLp0qcdtFRUVePDBB9GmTRts2bIF06ZNQ15eHrZs2eK6z4oVK/DBBx/ghRdewMaNG2G32zFp0iTXBZRSrCNSCY2ociVNkZKU2BgG+VsKMT1vN+bm78X0vN3I31rIe1AA+CYazpn2/MlMS4JO6ejlnD/7diQn6kQnKWIOQI6cvYLSCgPKq0worTDgyNkrsN/Yfufru67n76tdbbBg4dqD2LzrNIxmG4ym0BzYBBJvoV7gZovdp+TImUyXVZtxqdKAPUd/g9HCfVBRLRAXvvhHYrLpLIfw3i5/pVmhui8hhJDwkiyDSk5ODupxly9fxrPPPouDBw/illtu8Vi2efNmKJVKLFy4EAqFAh06dEBJSQnefPNNjB49GmazGW+//TZmz56NgQMHAgCWLFmC7OxsfPXVVxg2bJgk64hUBosdpy6WY+zgVJ8pzXfsOQeDxQ6tUuZT7xwJPVGFDgomDu8KgPVbW+xdz8nXpeKRkekorzZBq75xWjoxRrLZCFUqOb47+ptPicNNzWORnKB1lTk8MJR/Ehqt1/OE4sDGX7w1KjlSWifgcoUBKoXMtX8Awr3Ab0qK8SjV8FcrnZGShIE9boZGJfdoKehUl57Xkdp+LJBrDEJ1X0IIIeET9uK8H3/8EUqlEjt27MDy5cvx66+/upYVFBSgd+/eUChqN7Nv375YvXo1rly5gt9++w01NTUenUni4+PRuXNnHDp0CMOGDZNkHcFShPjiKX210aPNnJPzAjO9yYK1O4p9LgybNiqdOykZnQ6ljEEg/aaDUWXkL7Mo7a/HK+8XYNKIrkhrmwiD0YIYrRI6lRxyxrHjzrw3AzUmG/Q3ls0cmwHDjb+1GiWKS8rxj9d2u5I65/TKOpXc47E6jRIxavmN09a1rztGLuM9ADnzU6XfEgcAeHRUN9fru3rNyDtxztVrRo/1xqgVkp9C9463d4tC9+efNjoDTWLVvK89TqNwxcvGAis+9K2VPnamDG9tP+5Rj+2uqKRCoJMEfxy89wGu9zFU5HKZx3/dKeUKxHscGHBvT6juGwn4YkRqUZzEoTgJoxiJ44xPAPPWiRb2xHrQoEEYNGiQ32WXLl1Camqqx20tWrQAAPz++++4dOkSAKBVq1Y+93Euk2IdwZDJGCQkxAT9eDFqLHZs+LKYM7l7ZFQ3pLRJwKmL5a7k8khxGZZvLcSccb0wZ1wvXKs2ocbgSEybxKoRp6v7BV/X9WbB9ZaWlPOuw2K1uxK//A+PuW53JsdJTR0TFTXneP7F6wt8Ejbn9MpzxvVC83it38d6mzo6A/l+LrybMjIdj3HM/njsTBlMbvXB+ZuP4F+P3oa3tp3wWc/D93TF/JX7XK9t5thMNG+q9VlnXXnHOzenA3Z8d95n3zlSXIblW45hzrhemDE2E8s2H/Hb5cF9G38pvc57kDT69hS/ifWFX69h6ugMrNhyTPA5+Ih5H0MpPl7696uhoRiJQ3ESh+IkjGIkjkwm/QFI2BNrPkajESqVZ0KmVqsBACaTCQaDAQD83ufatWuSrSMYdjuLqip90I8Xw2pjeS+Ku15jRnFJhas9mntyXX7NiHiNHDFKGWKUjnhYTRZUmPjrXoX4a9HmPD2vdht+1Kj4d72WzWLwzic/+k38lm0+gpn3ZnCOZlYZbX5HQZ2Pr7xuhMlo8Rjtdo6Eu7OxwJptx/1OeHPtutFveYOT0VS7rLLajPkr92H62ExMGNYZBqMVsToldBoFzBYbnp7Qu3a0lbWHpIOCd7w7tU3gnDb9SHEZrlWbEK9R+IwIK+QyXKnUO/6+EbPrNfzXIigVMp8Re+dBhVrGMeocojhISS6XIT5ei6oqA2zUo9kvipE4FCdxKE7CKEbiOONkt9slT64jOrHWaDQ+FxCaTCYAgE6ng0ajAeDon+38f+d9nFOvS7GOYFmtod2pDUb+JLjiuslvezTgxhTDCmnPgQTSnk6r5C6zyEhJgs1u9+lN7b6+GpOVsyWgnicuGpUcDBi88aH/GfvceyfrrXaPftnuenVqwfkcAKDTKj2SycpqM/719kHX63t4RFfIbHZoZAw0zvZ+ttD1+vWOt1DbwRqDBTFKGVibHToFA3WcmvOASWhWPYVchuHZ7V0HFVqNAlevGfHeZyfx4N2db3SSqG0t6B0HqWcIlZrNZg/5Zz3aUYzEoTiJQ3ESRjESJxQ/JRGdWLds2RKlpaUetzn/Tk5OhtVqdd3Wpk0bj/ukpaVJto5IJXSRm/JG4nnsTBlG5LQP6LHevJMbjUoBk8WKGkNtshNIf2yui88yUpKQm90eVyqNftfjxNenmO+15eZ0wJvbjotK/vm6Uhw5U8ZbH6xUMMjNdsTce6Q2N7s9WLCoz/pY73gLXTjofvGi0AHTo6PSeWvIGQaugwpv992ZxtszPdAJZCI9CSeEENKwRXRinZWVhY0bN8Jms0Eud3QrOHDgANq1a4dmzZohLi4OsbGxOHjwoCsprqqqwsmTJzFu3DjJ1hGp+Lp7ZKQkoaikwvW3+whloJ0/uDo+5Ga3d5WYZKYl4b47+Q9EvJNh904HNQYraowWFJVUYPH6Aswd34t3XXzJs3dcNCo5cnM6oFPbBGjVCnRqm4CUNgnYseecRzmHd/LP9xwff3MWSx8fiNUf++9KYbba8cX+i37LSL7YfxF/F+gU4k2KhNE93gDDe2DQJFYN642yIKEDJqPZynsQwXeQxHeAFOgEPVLNkkkIIYQEK6IT69GjR2PNmjV45plnMGnSJBQWFmLdunV4/vnnATjqoseNG4e8vDwkJibiD3/4AxYvXoyWLVtiyJAhkq0jUjEAxgxKhd3uP6FZvL7AdZtzhDLQdmRcyY13iYnzIjU+/hJV54QSegauaceB2t7UXKOgGpUC4Jhd0n109tSFct7OKe6154Bnosd34JLWNhF7jvyClNYJGH17iqtdnftI/oRhnfHW9hPYvOu0K7lP79gc3VOSwIIFy8hEvQ9SJozOeAPg7QwTp1O56u2F+nkbjDYsXl+A3JwOPgcRQgdJfAcvgZwBkWqWTEIIIaQuIjqxbtasGdasWYMXX3wRI0eORFJSEubOnYuRI0e67jNz5kxYrVbMnz8fRqMRWVlZWLt2LZRKpWTriFR6iw2vvH8I08dmYuLwLii7ZgADuBIa9zZzLRJ0yJ89MOCRTr7kxrvEpPDsFVH9sf2NvnonWFy9qZ0HDSaLFVqedkLO0VmLncXqj49zdk7xrj133w6hchVnjDfvOo0+XZIxMbcrlrtN0a1RyTExtysmDO0MhVyGtTtO+LS2E0qOQ5kwcvVGdrRbrCVUNhSjVeLWdol+L4bMTEtCeZX/EWuhMyeBTFseSBJOCCGEhArDsjSMEwo2mx3l5aHtanC1xoxqgxVXKg1o1kQDjUoBlmVx7OwVV5lDXU+FX6k2Y27+Xs7lTz2QhUXvHQLgSCSXPDYAb24/7rc8Qs6y3KOvftquuY/y2u0srDa7a/KbhZP7oTlHCYE7vdWO6Xm7OZcvmNjHNVKemZbkN1F1HgjUGKwwmKyw2lnIGHiMzCrkDE5dKPeb3M0c2x3fHf3V7zKu5xS7/fmzB0qeMCoUMiQkxKCiogbWG9Oe53sdXDg5t98OcE/WAmA5xzK+/TKQ1y60n74yvb+o/SUQ3nEivihG4lCcxKE4CaMYieOMk81ml7znd0SPWBN+8TEqWG0s9hX+5tFBIzMtCa/+IwcsWGgVdbt4S3D2QbeL4IxmG+ysnXOGOL7R1zXbj/uMDhvNNpz+qQKd2ibglfc9SzbEXnwpNOrprD3nK5Fxlk8YZIDNzmKnV//njJQkTL6nK7Z+c9bvc9zcIlZgNNXO2aFFb7R61Ih7z67JV6MsFTGzHMoB3pkBg5k1MJAZQoX2h1DMZkkIIYR4o1+bqMZg067TPm3pHInqCTwiUCYg5oK4QC6QzExLguZGIq9TyGoTvhvr5C8ruQI7C9yWfhOG96+t0716zQjGa2qkQC6+FEqoWjUXLpFxxkmrVnJOyLNmxwm8NPU2HDhxyeeiSKuNfztrDBZA6z/+MVoFb414jLZ+PsJiptTmet+FlnEJZNryQJJwQgghJFQosY5iJosNRRfLMXZwqt/RTJPFBqVXWzWWYWC02iBjZHhzm/AFcWLqjN0fy5fI840e5+Z0wKqtvqPZrue6UQsd6MWXQglXrFoBhmVhZxjUmG2oMVgQq1VCq1ZAZrd7lK4smNiHt7f28P7t/U7Io1Hzf8zUajmm5+32G3+1UuF3hkTn3zPGZHBexOkkVQu6YJLjuhKT0Du3TWwSTgghhIQKJdZRzGiy8o5mGk1WxKjUbkmJEkUlV3G1yoiT58v9zmro74I4Octi2ugM6E1W6A1WxOoc3S8MJiuendTXIxHlwzd6zDcT4LEzZXhoeGfkdL8p4KRQTMJlZRgs9zNt+fQxGVjhdjGi0KQqZovd70WRchnD2+FEpXC0gfQXf6PZiuIS7oMno5l7ohygYbSgE5vQi03CCSGEkFChxDqKxcWoOEsTAOCRUd2Q76f/9IShnfGfL4v9rtNfBwUbw7gSTI1K7krm3Z9XTLLGN3oslPqYLTYkxqqDSppqEy47jGYrNCoFtEpHqzu7TOaTVAOOGF4u1+OU2xkBjUqBBRP7uCW1nlOaO+vN3bulZKYlIUajwF8Gp7qWOWWkJOEvg1PBMLWvwTv+BoGDJ4PJCp1Cmj7QDUE4RtUJIYQQJ0qso5jVZvc7Cgo4EjiL1e63/zRX+zMn9wvivJOz3JwOfksTnMnaxOFdAbABn65vkcA9fbxGJUdcjNrnICGQkVeGZRGvkaNtq3iPq6X1JitnDPVG/qTWvdzDu95cp1a6ardNVhtMFhv6Z9zk0ef56jUjTBYbqvWeU7AbTFZolY6DCDvreP1pbRNQXFLuej7nNj86qhvna6YWdIQQQkj9osQ6ihkEOl5cqzb5vZ0RmEnbvWTDOznjK9k4UlyG0v56LFx7EJlpSZg8ohvsrN11QSPge7rebLWj8OwV/N/x3znLJSaN6IrVfuqvpRh5rTFYOJc1b6rBu5+eEuyB7W9CnlidwpG0siyq9Rb8+71DyM3pgGZNNK77lFUasHbHCcz6aw/XbVwHEf6S+WNnymC1sVDxdBThUx8dRQghhJDGhBLrKKbT8E9gE6fznzQVlVQgMzWJs6+yewcF7+RMTJ0x4Eh6V318HGltE3Dm5wqPkWWGdYxor93xo8dkKv4mhMlMS0Ja20Tkf3jM7/PVdeQ1RssdQ6uV/4zAhGGd0altgt8JebxbwTknkvFH6bbtXAcRXBPa6I0WzuSYWtARQggh9YvOA0cxlVKGjJQkv8syUpKg5ehGsWPPOUwa0dXnsf46KHgnXyol/y7jvvzYmTJ0apvgGllm3YbKvUfCjWbHtNhpbROwYGIf/Htaf+TPHui4aJJnVBkQHpnlo1MrOGNYLfC8FosNO/c6ykTck2quVnD+uJeQOA8i+Ga67NQ2wXP7NQqwDAO91Y4r1Wbob0zoIvS8ruQ/CnC9PkIIISTS0JBVFDOYrcjNdlwk52/ab6PFf8KZ1jYR+wp/Q1rbBIy5IwUqhUx0H2s7C94OF+51xoDnCLZzZJllGNjsLOb9PQsJ8Roo5AyuVBqhkDMoKqnAK+8XYOHkflAr5Vj+0TEMz27v81zu6jLyKrPbMe3edCz/qNAnhkkJOt7HqlVyTLmnG6w21jFyHEQruEdGpqOqxuTqeHL1uv/yHSf3MwaZaUlQqxTId+tc4rzdeYYg2lvQNYSuJoQQQhoPSqyjmMHoGOXNzengcVGcszTh+Yf7+XThcE/mtGqvRJBj1kH35EwhY3iTefc6Y8BzBNtgskKtVPskSs7HvvJ+AdLaJt6Y+ETpul9KmwTOZN697CLYfs0KlsWMMbXtBHVaBTQqOSxWO+/kOPsKf/forS1n2aBawTWLqe1gIXamS+dzrtl2nLf2PJpb0DXGriaEEEKiGyXWUSxGq+St3dWqFbgt/SY8NLwrDF4jqu7JnBD35Oy63oLn1xxwJfMKuQwyGYPCs1c86owB3xHsOJ3Kb6Lkr3542r3prvvt2HOOs/7aOfJa15FNmd2OWKUMWlVt4u+s+7bb+Q8ixCZ6YlrBCU1o0yKhdqZIo9WGgycv+30u9zME0dqCjrqaEEIIiTaUWEcxnVLGm4T9eP4qVm87jsy0pNqkL4Ckyu8IcAw8knln8llcUuGTVHvPzGi1sbz1w87ez8fOlMFgqi1jcdZfu4/Mt2quc82aKNXIpvd63J93zB0pUCpkqDFYfC5WdD6Xv0TPM4ZKKOQMruvNvmcLbhCa0MZxkMAALIsaQ8Pu+kFdTQghhEQbSqyjGcM4Jh5h4Rphzc3pgPSOzSGXMdCqFRg7OBU79pwLeHSPawT40VHp6NMlGQd/dIyUuiefYwenQCmXuVroOZNPZ1JYEUD9sNHkOfmK98h8/uyBrqRUqpFNf+txPu/mXafx+uMD8GT+Xs7Heyd6/mLoPOD45+r9uLVdot8RdbHlGw2960dDf32EEEIaHvplimI1JisWvXsI08dm4u9DO8NotsFmt+PYmSuumQH5ZujjqknmGwFeubUQU0dnwGy1e4yotkjQIj5GDYPRgqaxagzqeTOybm3hMTIrtn4YcJS58I3G87UEBOA6yOjUNgHX9RZAp0SMnD+5Fhoh9U72vbm/Pq4Yepe9cI2oS1E24h6jaNTQXx8hhJCGhxLrKGYwWjDzL5nY8d15HOWYTMR7hj5nMl1jtN6YubE2CXeOLJsERoBNZqtrRNVgsiIuRo3VWws9ek37u6CPL1HKSEnC2V8qMXZwKtI7NofeaMHE4V1RlF6ONdtP8Laz807Y3adddx/lzkxLwoyxmZw7vVDiH0iyzzeK7l72UpdaYaGykWi/sK+hvz5CCCENDyXWUaxJrBpbvzmL1DYJyM327Aryxf6LrlFR5wx9cqXMb2nCnHG9sGzzEaS0TsDlCgPkMv4+wXqj1TGaqpBBq/SdJRDwX9/MlShlpCThngEdwLIstu/xTYaXPj4Q1/11MbnBO2Hnm3Z92eYjeGRkOhQMI7ged47EWSY60RMa/XYve6lLrXA0d/0Qo6G/PkIIIQ0LJdZRzGZnMaTvLT4js846XvcEWW+0YO2OYs7ShAWT+uLdT09h867TWDCxD+/z8k157s7faKxvouS4oM9mY7Fmxwm/yfDqjwt5L770TtiFpl3/tawaO/ee96lvFjNCKgckqX92L3upa61wtHb9EKuhvz5CCCENByXWUczOwu/IrPPv8X++1XWbRq3gLU3QG1NcjysqqRDVNxoIrnODT6IEQA/ujiFiyiW8WwLyMVvsnB1DxIyQ1rX+2Xu2RaoVJoQQQhoGagIbxViW9Zv8Ao5kWS53jFhnpiVBJjANdLVbMrpjzznkZrcPaspzb2JHY8Uk6EKcCW+cTsl7P+dosTNh51pP81iVqw90oJyj395TijvPJuzYc45qhQkhhJAGhkaso5h7r2d/rteYkZHiaJFnNPPf1700wbtvtE6tRKxOXH2zu0BGY6VsrSZ2tBgIbS9krrKX63oz8mZmU60wIYQQ0sDQiHUUE0o2m8apkdY2AW9tO4HSCqPPCLRTZqpnsgnU9m9euPYgYnVKzpFbrpHZQEdjncmw3+1zJugiiRktdgp1L2TP0W8GKgZoFhP8SDghhBBCIheNWEcxjUrBP1qsVrgu4ht6WzvkZtfObOiUkZKEcX++FRu/Kvb7HJmpjuRUb7VzjrBK0blB6tZqtdtkx+UKPRjAZ8ZEqm8mhBBCiJQosY5iFpsVj45Kx0rvGRJTHeUfFpvntOCrth7D9LGZmDi8C/RGC+Jj1TCZbSirNOBvd3VC7y4tsXZHbc/ojJQkDOvfHrPf2OPR59p7pkBAms4NQgk614Q2XBzbxKBNi1jqhUwIIYSQkKPEOoqp5Aps/LoYk+7pCpuNRY3BghitEnI5g827TmPk7R1d99Wo5Jgx1jGZTHFJOeaM64X/fH3aY/S6e2oSXv1HDmoMFp9pyQH/vamlxpWgc02xzpXou3MfvTaardCoFNAqqRSDEEIIIdKixDqKma1W3DOwI978+IRPecfD93RFRaXJNZOhjGHAsizS2iagc/tEv236jp4uw5vbTuDhEV0xN+8bv89Zl5kC/REzCs03xbrYRJ9hWcRr5GjbKh4VFTWwWu289yeEEEIICRQl1lGsWm/FS+u+x/SxmZgwrDMMRiu0GgWuXjPihbUHMP+hviguqfCZPGbC0M74z5f+a6qPnSmD1W7Hgol9UFRS4Zru3J1UnTTEjkIHOgkNIYQQQkg4REU2cvnyZaSlpfn827p1KwDg1KlTGDduHLp3745Bgwbhvffe83i83W7HG2+8gezsbHTv3h0PP/wwfv75Z4/7CK0jEuk0ClRWm/Gvtw9i1pJv8fTKfZi15Fv86+2DGNCjNd72M5PhsTNlKK8y8q730hU9Fq49iOKSCswZ1wsalWdHDik6aQiNQrOM+6yRde9xTQghhBASalGRWBcVFUGtVuO7777D3r17Xf/uvvtuVFRU4MEHH0SbNm2wZcsWTJs2DXl5ediyZYvr8StWrMAHH3yAF154ARs3boTdbsekSZNgNpsBQNQ6IhFfi7r0js05R3kF5opx9bQ+dqYMO747j9ycDq5lgba+4yJmFNpJyh7XhBBCCCGhEhWJ9enTp3HLLbegRYsWSEpKcv3TaDTYvHkzlEolFi5ciA4dOmD06NGYMGEC3nzzTQCA2WzG22+/jZkzZ2LgwIHo1KkTlixZgkuXLuGrr74CAMF1RCoGwJhBqT79qTNSkiCXcWfPRSUVrjZ63rwnUDl2pgyd2iYAkLaTRiCj0FL2uCaEEEIICZWoSKyLi4vRoUMHv8sKCgrQu3dvKBS1o5Z9+/bFxYsXceXKFRQVFaGmpgb9+vVzLY+Pj0fnzp1x6NAhUeuIVHqLDQvXHkBa2wQsmNgHTz2QhQUT+yCtbQLvrIw79pzDpBFd/Sbk3hOoAIBOrUT+7IGYLqIDh1iBjEJLNQkNIYQQQkgoRcU59NOnTyMhIQH3338/Lly4gLZt2+LRRx9FTk4OLl26hNTUVI/7t2jRAgDw+++/49KlSwCAVq1a+dzHuUxoHc2bNw9quxUhvqBOX212zZDobezgVPTpkoy2rZqgU9sEmC12qJQyFJVUoOT3awCAR0elw2qzo8ZoQY3B4jOBilOsTol4jXNUWKCORKQYuYx3cpsYtQJyt6dSAJh5bwZqTDbojRboNErEqOU37iNum+Rymcd/iX8UJ3EoTsIoRuJQnMShOAmjGInjjI9QaWwwIj6xtlqtOH/+PDp27IinnnoKsbGx+PTTTzF58mS88847MBqNUKk8O1So1WoAgMlkgsFgAAC/97l2zZFgCq0jGDIZg4SEmKAeK1aNxQ6NSo7cnA4+yfO3P/yMF6b8Ecs/KvTpCjJ9TAZaNqvdtut6MxavL+BMchObaBCnq3sXEG8zxmZi2eYjPhO3zBybieZNtX4fE9whjqf4eP/rJp4oTuJQnIRRjMShOIlDcRJGMRJHJpP+ACTiE2uFQoGDBw9CLpdDo9EAALp27YozZ85g7dq10Gg0rosQnZzJsE6ncz3GbDa7/t95H63WseMJrSMYdjuLqip9UI8VS6OQYcHEvti067RP8vzMg32wckuh364gK7Ycw8x7MzxGhDmnEx+dDqvJggqTRfLt5xyFZu2oqKiR/Pnkchni47WoqjLAZqM+1lwoTuJQnIRRjMShOIlDcRJGMRLHGSe73S55ch3xiTUAxMT4jvympKRg7969aNmyJUpLSz2WOf9OTk6G1Wp13damTRuP+6SlpQGA4DqCFepJSFiGwYf/Pe03ea6qMfN23agxWT16P8sB/9OJ21lY7aGtYdYpGFdfbNZmR6ib59lsdpogRgSKkzgUJ2EUI3EoTuJQnIRRjMQJxSVaEV+Ec+bMGfTo0QMHDx70uP3EiRPo2LEjsrKycPjwYdhstXXBBw4cQLt27dCsWTN06tQJsbGxHo+vqqrCyZMnkZWVBQCC64hUfC3rqvX8I8z+unI4pxNvHquCTkFTfhNCCCGEBCLiE+sOHTqgffv2WLhwIQoKCnDu3Dm8/PLLOHr0KB599FGMHj0a1dXVeOaZZ3D27Fls3boV69atw5QpUwA4aqvHjRuHvLw8/Pe//0VRURFmzZqFli1bYsiQIQAguI5IxdeyztmLmgv1fiaEEEIIkVbEZ1cymQyrVq3Cq6++isceewxVVVXo3Lkz3nnnHVcnjzVr1uDFF1/EyJEjkZSUhLlz52LkyJGudcycORNWqxXz58+H0WhEVlYW1q5dC6VSCQBo1qyZ4DoikU6j4Lx48cwvlbxdN7RKeWjOgRBCCCGENFIMy1J2FQo2mx3l5dJfgOeOlclwucKATbs866wzUpLw1ztTkdhEg5V+Lkh8ZGQ6qmpM0Kpv1FE3kl1AoZAhISEGFRU1VHvGg+IkDsVJGMVIHIqTOBQnYRQjcZxxstnskrcmjPgRa8LNamexmePiRRnj6FPtfkGiVqNEcUk5/vHablevauckK1JN/EIIIYQQ0lhFfI014WY0W3GUq/PH6TIYzFbXBYnN4tR4e8cJ5H94zGMCmCPFZVixtRBsKLqkE0IIIYQ0IpRYRzGDySZ6OV8HkSPFZTBY+NdFCCGEEEL4UWIdxWK0/JU87sv5OoiIWe6NZRjorXZcqTZDb7XTiDchhBBCGj2qsY5iOpUCfboko22rJj5dQUp+vwadSgHYHRcvCLXXC6T9no1hsGJLoccIONVqE0IIIaSxo8Q6ijF2OybmdsXyjwp9pjSfdm86GHvtFcFapVyS9nusn6QaqK3Vnj4qvdF0GSGEEEIIcUelIFGMZRis3FLotyvISq8LEhmWxdRR6chMS/K4r3OkWWwyTLXahBBCCCH+0Yh1FBOT5OoUtcdOcpb1aL+n0wTex1pMrbYuViV6fYQQQgghDQWNWEexYC5IdLbfax6rgk4hC7hsQ8pabUIIIYSQhoQS6ygWjiTXWavtj6tWmxBCCCGkEaLEOoqFI8mVqlabEEIIIaShofP2UYwBMGZQKux2eFzAmJGShDGDUhGqztJS1GoTQgghhDQ0lFhHMb3FhoVrDyA3pwNG5LT36GO9cO0B5M3M9rh4UUrOWm3XhYqUVBNCCCGkkaPEOorpjVYYzTaPHtbey6lDByGEhBfLMHSGr4Gh95RwocQ6ilGHDkIIiWxCM9WyDIMqow2lJeXQqhXQBNGtidQvmn2Y8KHMK4pJNZsiIYQQ6ThHMwEGa3cc55ypduroDKz46BglaFGEZh8mQqgrSBRzXryYkeLZoSPUFy8GimUY6K12XKk2Q2+1e8wISaIHvY+Ri96byGFjGORvKcT0vN0ordDzTuJ1udx3uTNBo/cwMtHsw0QIjVhHsXBevCgWnTJrGOh9jFz03kQO79FMs8XOe/9qvcXv7f5mziWRgWYfJkIosY5ikX7xYiSdMqM6xuCF+31sSBcJSf1awv3eEE/eo5kqJX9izLc83N/fxD+6tokIoT0gikX6B1zMKbP6GJEJ5YhetCd9/rbfWzjfx0Dfu0h+P0LxWiLlM0YcvEczi0oqkJGS5DHPgFNmWhKKSio41xXu72/iH13bRITQJzeKaZVy9OmSjLatmqBT2wSPUpCS368JfsBDnYSIOWWmjVPzbkNdt1GKET2ubbAzDI6evYLEeA3MFjuqDRaUVxnRvWNzyERsY7iTQL5Ez53eaIVGJUduTgef/WzHnnMhG1kT894BcIuhEkUlV7Fm+wkAQG5OB6R3bA6lQoaYEMbXxgJ6q533fQx0PxSbhNNp6cjinQzv2HMOc8b1AuA5iZfzvVyz44Tf9VCCFrmcsw+v2FrokVzT7MPEiRLrKMawLCbldsXRM1c8bk9qqsWdWa15P+D1UZep0yh5l2s1SuTzbIMU2xjMiJ5nwlubrBnNNtc2TBudgdIKA747+pvPrJc3NY9Fy6Ya3h9FMS24Qpl0CyV6zmQAAGK0CswZ1ws7vjvvUXaUkZKEOeN6IUYbmq8RofdOb7Hj7R0nPO6TkZKEJx/IAsuy2L7Hc3tDUXdcVmnAsg+FuzoEsh8GkoRH+lmrxsZ7NNNotmHx+gLk5nTAmDtSoFLIPD7Pk3K7wmy1U4IWZWj2YcKHvnWjGcOgrNKIvcccyZ1zVDG9Y3NcuWZEnE4FrdK3lri+6jIVcobzNGj31CQUl5RzbsM0P22ohLbRXzIa6Gird8KrUckxMbcrXp7aH6UVeigVjsfqTVZs2nXa57U5/350VDeoOC7qF4r/tNEZWB7iFlxCid61ahNibtR/qpUK7PjuPOdrnTEmA7DzX6QVDKHRWH8dF46dKUP/jJuwr/A3n+2Vev+2scCyD4+I2kcDGVkOJAkP5rR0uM+UNGT+RjONZhvO/FyBO7Na135+b/y3NkGzw2i2QqNS+P3OJpGHZh8mXCixjmJmO1zJnUYl9zuqWNfRs7q4rjcjN7s9APiM6j48oiueeH0P5zboTdaAtpFrBHhiblfRo63eCa97TJd/dMzjsX9Mb+X3gMH5Wk0WG1Qq33plADBY7PxJbY3ZY7lGJUdK6wRcrjD4jHgFSyjRqzFYEKNUAwCMZivvazWarSGp49Wo+b+euJqRNWuiwdF62L9rTDa/Ca2/5wlkZDmQJDzQ09LUQST0Ah3NZFgW8Ro52raKR0VFDaxW6Q9SCSH1hxLrKGay1CY8uTkd/I4q1nX0rC60agX+uXq/33aAv5bVuEor/G6DQfw28o0AX68xiR5t9T7g4IrpsTNlMAjE0Gi2IY4jsa4x+G+x5WRyi0sgB0yBEEr0YrS1ZTzhquOVMdxnPDJTuS/8EmpxJtX26o3876P78wQyshxoeYfYRI46iNQfGs0kpPGiy8WjmHti2qltAueoonfTeqHaZ6HlYmmVctzaLhGbd53GwrUHsei9Q1i49iA27zotnDwI1O26P55vBN5gsgmOtjp5J5B8MdWohLaPO4Yatf+Eu3Z57bqFDpiCnUTCmej5k5mWhCaxatff4arjZRgWudnt/U6ANGlEV+zYc87v44RanEm1vcKfo9rncY4se8fc38iy0Hvjr3OLM5FrHquCjqOVJE1sQQghoUeJdRTTuiVgYkbpnJy1z/5kpCRBIZdmxi++ZKJFgpZ3G1QK8ckF34hqIHHxTrj4HsuC5d1+JU8M1Uo572OB2qQokAOmQPAmeqPTEaerHdENJtGTgkYhx1cHLyKtbQIWTOyDpx7IwoKJfZDWNgGnf6rAre0S/T7u6jUjuqeGfntj1IHFxTmynD97IF6Z3h/5swdiup+zDoEk4YEQc+aBEEJI3VApSBRj3E6VBzJKx1f7nJvdHtf1ZjSLkebUPtdpapPNxrsNdtYmunaUbwQykLh4n67ne+yVSmPQMVTJGPxlcKrfx/5lcCpKfq9y3RbKsgau90Yp8zwoCFd7KWfXhBVbC33KYIZktUbX9s38blNGx+bo2qEZ3tx2PKTbK2eAGWMzsWzzEdHPI7ZEIBRdB6iDCCGEhB59k95gt9uRn5+PDz/8ENevX0dWVhYWLFiA1q1bh3vTOLGs3ZXcCU1E4F7DyVf7vHh9AfJmZku6nf6SCbVcjm8O/4Th2e0xYVhn6I1WxGgUuHLNiG8O/4QH7+4MRmRywVe/Wl5lFF3b6p1A8sVUp1HgX28fDC6GLIsWTTXI7n6Tx2PLq4xo0VSDFk01rm0OdVmD/0SvNrF27yAxcXhXKO5hcF1vhlZdP90khBJMrmUKhnuZlJKaajHz3gzUmKySP4/Udbo0sQUhhIQew7L0TQoA+fn5WL9+PRYtWoSWLVti8eLF+OWXX7Bz506oVIGPCNpsdpSX14RgS2tZGQYbvihC7oAOUClkkMtkeGu7/1E699PNLMMg32ukz/3+Ul/ExNXey8owWP5Roc+o7bR706EI8PltDON39HLaqHSwAOdoK9+MdwaTFXExaqz+2M9jR2dgxZZjdYohX9sz5zKAwdqdJ+rtvQIAhUKGhIQYXLpSTR0keDjjFE2dHLg+J6F6T6MxRuFAcRKH4iSMYiSOM042mx1yubRV0ZRYAzCbzejbty9mz56Nv/3tbwCAqqoqZGdn48UXX8SwYcMCXmd9JNZGloWMkWHllkKfPtbKG23ZdByjZ/X1A8vZ3oujT7VzeTAJo3CiGlyvWK711msM6zkZUqiVWPx+gaTvT0MTrT9g9dnHOlpjVN8oTuJQnIRRjMQJZWJNpSAAioqKUFNTg379+rlui4+PR+fOnXHo0KGgEuv6IENtUg04uoRs3nUam3edRkZKEh7lSX7qY+YovvZel8t9J/dwXx5Mr2G+U+d16RXLtd76mn0rHLN8Xas21Uuvc1L/qBUcIYSEDiXWAC5dugQAaNWqlcftLVq0cC0LhiLEiUe1gX/iDrPVJti2TilXIN6jTleajiAAUGXkbu9VrRfuARzfVCPZtgBwHZVKfXQayhiG43nkchlqqky89wnF+xNtQrU/NSQUI3EoTuJQnIRRjMRxxifIjrW8KLEGYDAYAMCnllqtVuPatWtBrVMmY5CQEFPnbePza/kV3uV6gxXtbmoS0m3gU1pSzrlM6KK8uBhVyOIXH68NyXobkiqB1muhfH+iDe1PwihG4lCcxKE4CaMYiSOTSX8AQok1AI3GMfJmNptd/w8AJpMJWm1wO6fdzqKqSi/J9nFxnx3PH51WgYqK0NZ58+GbRKWopIK3Q4FGIZN82+VyGeLjtaiqMsBmo9ozLnK5DE1i1fX+/kQb2p+EUYzEoTiJQ3ESRjESxxknu90ueXJNiTVqS0BKS0vRpk0b1+2lpaVIS0sLer2hvnBAp1ZwtoPLSEmCTq0I68ULWqWMMzkr+f0aHh2VjpUcF+WxNjtCNV2FzWanizoEJMRreXtXh/L9iTa0PwmjGIlDcRKH4iSMYiROKC4xocQaQKdOnRAbG4uDBw+6EuuqqiqcPHkS48aNC/PWcZPZ7Zh2bzpnyzqZPbwfKr6JRSbldg3LRXlEPLWcofeHEEIICQAl1nDUVo8bNw55eXlITEzEH/7wByxevBgtW7bEkCFDwr15vBQsixljMqA3WVFjsCJGq4BOrQh7Uu0klDxTh4LIRu8PIYQQIh4l1jfMnDkTVqsV8+fPh9FoRFZWFtauXQulkr+OORLI7HY01SrQ7qYmEdm7kpIzQgghhDQGlFjfIJfLMWfOHMyZMyfcm0IIIYQQQqIQNTokhBBCCCFEApRYE0IIIYQQIgGGZangNRRYloXdXr+hlctl1LdSAMVIHIqTOBQnYRQjcShO4lCchFGMxJHLZWBZFozE0y9SYk0IIYQQQogEqBSEEEIIIYQQCVBiTQghhBBCiAQosSaEEEIIIUQClFgTQgghhBAiAUqsCSGEEEIIkQAl1oQQQgghhEiAEmtCCCGEEEIkQIk1IYQQQgghEqDEmhBCCCGEEAlQYk0IIYQQQogEKLEmhBBCCCFEApRYE0IIIYQQIgFKrAkhhBBCCJEAJdZRzm6344033kB2dja6d++Ohx9+GD///HO4NyusKisrsWDBAuTk5KBHjx7461//ioKCAtfy/fv3Y9SoUcjIyMBdd92FTz/9NIxbGxkuXLiAzMxMbN261XXbqVOnMG7cOHTv3h2DBg3Ce++9F8YtDK9t27bh7rvvRrdu3TB06FB8/vnnrmW//PILpkyZgh49eqB///5YunQpbDZbGLe2/lmtVrz++uu4/fbbkZmZifvvvx9Hjx51Lad9CVi9ejXGjx/vcZtQXBrj97u/OP3vf//D6NGjkZmZiUGDBuHf//43jEaja7nJZMLzzz+Pfv36ITMzE0888QTKy8vre9Prjb8YuZs/fz4GDRrkcRvtSw6lpaV4/PHH0atXL/Tp08fvvrJhwwbccccdSE9Px9/+9jecPHkysCdmSVRbtmwZ26dPH/abb75hT506xT700EPskCFDWJPJFO5NC5sHH3yQHTZsGHvo0CH2/Pnz7PPPP8+mp6ez586dY8+ePct269aNfe2119izZ8+ya9asYTt37sz+3//9X7g3O2zMZjM7atQoNjU1ld2yZQvLsixbXl7O9unTh503bx579uxZ9qOPPmK7devGfvTRR2He2vq3bds2tnPnzuz69evZkpISdsWKFWynTp3YH374gTWbzeyQIUPYyZMns8XFxezXX3/N9u7dm3399dfDvdn16o033mBvu+029rvvvmMvXrzIPvPMM2zPnj3Zy5cv077Esuz69evZTp06sePGjXPdJiYuje373V+cDh06xN56663sypUr2QsXLrC7d+9mc3Jy2Keeesp1n6eeeoodPHgwe+jQIfbYsWPsPffcw95///3heAkh5y9G7r7++ms2NTWVvf322z1up32JZU0mEzt06FD2L3/5C/vjjz+yR48eZe+++2520qRJrvts3bqVTU9PZ7dv386eOXOGnTNnDtu7d2/26tWrop+bEusoZjKZ2MzMTHbDhg2u265du8amp6ezO3fuDOOWhc/FixfZ1NRUtqCgwHWb3W5nBw8ezC5dupT95z//yd57770ej3n88cfZhx56qL43NWK8+uqr7AMPPOCRWK9atYrt378/a7FYPO43ZMiQcG1mWNjtdvb2229nFy1a5HH7Qw89xK5atYrduXMn27VrV7aystK1bOPGjWyPHj0a7A+WP7m5uezLL7/s+vv69etsamoq++WXXzbqfenSpUvslClT2O7du7N33XWXx4+8UFwa0/c7X5yeeOIJdsKECR73//jjj9kuXbqwJpOJvXTpEtupUyd29+7druXnz59nU1NT2R9++KHeXkOo8cXI6fLly2zfvn3ZcePGeSTWtC85bNmyhe3evTtbVlbmum3Pnj3sHXfcwV6/fp1lWZYdMmQI+8orr7iWWywWdsCAAeyqVatEbwOVgkSxoqIi1NTUoF+/fq7b4uPj0blzZxw6dCiMWxY+CQkJePPNN9GtWzfXbQzDgGEYVFVVoaCgwCNeANC3b18cPnwYLMvW9+aG3aFDh7Bp0yYsWrTI4/aCggL07t0bCoXCdVvfvn1x8eJFXLlypb43M2wuXLiAX3/9FcOHD/e4fe3atZgyZQoKCgrQpUsXNGnSxLWsb9++qK6uxqlTp+p7c8OmWbNm+Oabb/DLL7/AZrNh06ZNUKlU6NSpU6Pel3788UcolUrs2LEDGRkZHsuE4tKYvt/54vTQQw/hySef9LhNJpPBYrGguroahw8fBuCInVO7du2QnJzcoOLEFyMAYFkWTz31FEaMGIHevXt7LKN9yWHv3r3o27cvmjdv7rotOzsbu3btQmxsLK5evYqLFy96xEmhUKBXr14BxYkS6yh26dIlAECrVq08bm/RooVrWWMTHx+PAQMGQKVSuW778ssvUVJSguzsbFy6dAktW7b0eEyLFi1gMBhQUVFR35sbVlVVVZg7dy7mz5/vsw9xxQkAfv/993rbxnC7cOECAECv12PixIno168fxowZg//9738AKE5OzzzzDJRKJe644w5069YNS5YswRtvvIE2bdo06hgNGjQIy5YtQ+vWrX2WCcWlMX2/88Wpc+fO6NSpk+tvi8WCdevWoWvXrkhMTMTly5eRkJAAtVrt8biGFie+GAHAunXrUFZWhscff9xnGe1LDhcuXMDNN9+M5cuX484778Ttt9+Of/7zn6iqqgIgXZwosY5iBoMBADySSABQq9UwmUzh2KSI88MPP2DevHkYMmQIBg4cCKPR6BMv599mszkcmxg2zz33HDIzM31GYwH4jZPzh6sx7VvV1dUAgCeffBLDhg3D22+/jdtuuw1Tp07F/v37KU43nD17FnFxcVi+fDk2bdqEUaNGYfbs2Th16hTFiINQXOj73ZfVasXcuXNx5swZPPvsswAcv4PeMQIaV5yKioqQn5+PxYsX+40F7UsO1dXV2LZtG4qLi/Hqq69i4cKFOHz4MKZOnQqWZSWLk0L4LiRSaTQaAI6E0Pn/gONLWavVhmuzIsauXbswe/Zs9OjRA3l5eQAcHxDvBNr5d2OK2bZt21BQUICdO3f6Xa7RaHzi5Pxi0el0Id++SKFUKgEAEydOxMiRIwEAt956K06ePIl33nmH4gTH6OoTTzyBdevWoVevXgCAbt264ezZs1i2bBnFiINQXOj73VN1dTUee+wxfP/998jPz0d6ejoA/3EEGk+cTCYTZs+ejUcffdRjZN8d7UsOCoUCOp0Or776quu7vUmTJhgzZgyOHz/uESd3gcaJRqyjmPN0RWlpqcftpaWlSE5ODscmRYz169djxowZuP3227Fq1SrXSFCrVq38xkun0yEuLi4cmxoWW7ZswdWrVzFw4EBkZmYiMzMTAPDss89i0qRJaNmypd84AWhU+5bztaampnrc3rFjR/zyyy8UJwDHjh2DxWLxuK4BADIyMlBSUkIx4iAUF/p+r1VaWupq4bh27VoMGDDAtaxly5aorKz0SYYaS5yOHTuGM2fOID8/3/Vdvnr1avz222/IzMxEQUEB7Us3tGzZEu3atXMl1QCQkpICwNE2Vao4UWIdxTp16oTY2FgcPHjQdVtVVRVOnjyJrKysMG5ZeH3wwQd44YUXcP/99+O1117zOK3Tq1cvfP/99x73P3DgAHr06AGZrPF8HPLy8vDZZ59h27Ztrn8AMHPmTLz44ovIysrC4cOHPfoxHzhwAO3atUOzZs3CtNX1r0uXLoiJicGxY8c8bj99+jTatGmDrKwsnDx50lUyAjjiFBMTwzl61NA464SLi4s9bj99+jRuueUW2pc4CMWFvt8drl27hr///e8oLy/Hhg0bfF57z549YbfbXRcxAo5a2suXLzeKOKWnp+Orr77C9u3bXd/l9913H1q0aIFt27aha9eutC/dkJWVhaKiIo8e6KdPnwYAtG3bFs2aNUO7du084mS1WlFQUBBQnBpPJtEAqVQqjBs3Dnl5efjvf/+LoqIizJo1Cy1btsSQIUPCvXlhceHCBbz00ku48847MWXKFFy5cgVlZWUoKyvD9evXMX78eBQWFiIvLw/nzp3D22+/jS+++AKTJk0K96bXq+TkZLRt29bjH+Do7pCcnIzRo0ejuroazzzzDM6ePYutW7di3bp1mDJlSpi3vH5pNBpMmjQJy5cvxyeffIKffvoJK1euxL59+/Dggw9i8ODBSEpKwmOPPYaioiLs2rULr732Gh566CG/tY4NUXp6Onr27Iknn3wSBw4cwMWLF7F06VLs378fkydPpn2Jg1Bc6Pvd4eWXX8bPP/+MxYsXIzEx0fV9XlZWBpvNhuTkZAwdOhTz58/HwYMHUVhYiMcffxy9e/dG9+7dw735IafRaHy+y5s0aQKFQoG2bdtCo9HQvnTDfffdB7lcjieeeAJnzpzB4cOHMX/+fPTp0wddunQB4OhC88477+Djjz/G2bNn8fTTT8NoNOLee+8V/TxUYx3lZs6cCavVivnz58NoNCIrKwtr1671ONXRmHz55ZewWCz4+uuv8fXXX3ssGzlyJBYtWoQVK1Zg8eLFePfdd3HzzTdj8eLFPi34GrtmzZphzZo1ePHFFzFy5EgkJSVh7ty5rjrjxmTq1KnQarVYsmQJLl++jA4dOmDZsmXo06cPAGDNmjV4/vnnMXbsWDRp0gR/+9vfMHXq1DBvdf2RyWRYuXIlli5dinnz5uHatWtITU3FunXrXO2uaF/yJeYz1ti/3202Gz777DNYLBb8/e9/91n+3//+FzfffDNeeOEFvPTSS5g+fToAICcnB/Pnz6/vzY1ojX1fAoDExERs2LABL7/8MsaMGQOVSoXBgwfjqaeect1n7NixuH79OpYuXYrKykp07doV77zzDhITE0U/D8M2xua9hBBCCCGESIxKQQghhBBCCJEAJdaEEEIIIYRIgBJrQgghhBBCJECJNSGEEEIIIRKgxJoQQgghhBAJUGJNCCGEEEKIBCixJoQQQgghRAKUWBNCSISj6QakRfEkhIQKJdaEEOJm/PjxSEtLw3333cd5n1mzZiEtLc1jxq60tDQsW7ZM8u05fPgwJk+eLPl6vf3pT3/C0KFDOZebzWb06dMHc+fODfm2cFmyZAnS0tLwwgsvBPX4qqoqzJ07FwUFBa7bxo8fj/Hjx0u1iYSQRo4Sa0II8SKTyXD06FFcunTJZ5ler8c333zjc/umTZswZswYybflww8/xLlz5yRfr7dRo0bh7NmzOHXqlN/lu3fvRmVlZUheoxh2ux3btm1Damoqtm/fDoPBEPA6Tp06he3bt8Nut7tue/bZZ/Hss89KuamEkEaMEmtCCPHSuXNnqNVqfPHFFz7LvvnmG2i1WiQnJ3vc3r17d7Rs2bK+NlFy99xzD+RyOXbs2OF3+ccff4xbbrkFWVlZ9bxlDnv37sWlS5fw3HPPoaamBp988okk6+3YsSM6duwoyboIIYQSa0II8aLT6TBgwAC/ifVnn32GP/3pT1AoFB63u5eCHDx4EGlpadi/fz8eeughZGRk4LbbbsPixYths9kAAL/88gvS0tKwdetWj/U89dRTGDRokOv/P/74Y/z6668e9zWZTHjllVcwYMAAdO3aFcOHD8dnn33msZ4TJ07g73//O3r27InMzExMmDABR48e5XzNycnJyM7OxqeffuoxogsA5eXl+O677zB69GjXbbt27cKoUaPQrVs33HbbbfjXv/4FvV7vWr5s2TLceeedyM/PR+/evdG/f3/Mnz8f6enpuH79usf6V6xYgZ49e/KOQm/ZsgWpqano2bMn+vTpg02bNvm937fffov77rsP3bt3R//+/bFgwQJUVVXh4MGDeOCBBwAADzzwgKv8w70U5KGHHsKoUaN81jl16lTk5ua6/i4oKMC4ceOQkZGB3r1748knn0R5eTnnthNCGg9KrAkhxI+7777bpxykuroae/bswbBhw0StY/bs2ejZsydWrVqFYcOGYc2aNfjwww9Fb8PUqVMxYMAAJCUlYdOmTRg4cCBYlsW0adOwceNGPPjgg1i5ciUyMzMxa9YsbNu2zbWdkyZNQkJCApYtW4YlS5bAYDBg4sSJPkmtu9GjR+Py5cv4/vvvPW7/5JNPwLIsRo4cCQDYuXMnpk2bhvbt22P58uWYPn06duzYgalTp3pcGPjbb7/h22+/xZIlSzBv3jw8+OCDMJlMPgcs27dvx9133w2tVut3uyorK/G///0P99xzDwBg5MiROH78OH788UeP+33zzTeYMmUKmjVrhqVLl2L27NnYtWsXZs2ahS5dumDBggUAgAULFvgt/8jNzcWPP/6IkpIS121VVVXYs2cPRowYAQA4dOgQJkyYAI1Gg6VLl+Lpp5/G999/jwceeABGo5EztoSQxkEhfBdCCGl8Bg4cCK1Wiy+++AITJkwAAHz99ddo1qwZevbsKWodY8aMwbRp0wAA/fr1w65du7B7927eCyPdtWnTBomJiVCpVOjevTsAYN++ffjuu++wZMkS3H333QCA7OxsGAwG5OXlYdiwYTh79iwqKirwwAMPoEePHgCA9u3bY9OmTaipqUFcXJzf57v99tuRmJiInTt3om/fvq7bt23bhpycHCQlJYFlWeTl5SE7Oxt5eXmu+9xyyy2YMGECvv32WwwcOBAAYLVa8eSTT6JXr16u+2VmZmL79u2uWu0ffvgBFy9exKJFizjjsHPnTtjtdldyO2TIECxcuBAbN270uJBx2bJluPXWW5Gfnw+GYQAAKpUKr7/+OoxGo6vkg6v8Y8iQIXj++efxySefuN63r776CjabzXUw9eqrr6Jdu3ZYvXo15HI5ACAjIwNDhw7Fli1bcP/993O+DkJIw0cj1oQQ4odGo8GgQYM8Rlc//fRT/PnPf3YlbUIyMzM9/m7ZsqVHuUQw9u/fD4ZhMGDAAFitVte/QYMGoaysDGfOnEFKSgoSExPxyCOPYMGCBfj666/RvHlzzJkzh7cOXKlUYsSIEfjqq69gNpsBAGfOnMGPP/6Ie++9FwBw/vx5XLp0CYMGDfJ4/qysLMTGxmLfvn0e67z11ls9/h49ejQKCgrw66+/AnDUbrdr184nVu62bNmCPn36QKVSoaqqChaLBYMGDcInn3yC6upqAIDRaMTJkycxePBgj/fn7rvvxpdffonmzZsLxlan02Hw4MEeZTWffvop+vXrh+TkZBgMBhw7dgwDBgwAy7Ku1966dWt06NDB57UTQhofSqwJIYTDn//8Z1c5SEVFBfbv38/bks6bRqPx+Fsmk9W5h3JlZSVYlkWPHj3QpUsX17/HHnsMAFBaWoqYmBhs2LABAwYMwOeff47p06ejX79+WLBggSth5jJ69GhUVVVh9+7dAByJb1JSkmsUurKyEgDw/PPPezx/ly5dUF1djdLSUo/1xcTEePztLPnYvn07TCYTPv/8c791zU4nT57EqVOnsG/fPmRlZbn+7dixA3q93nWx5bVr18CyLJo1ayYykv6NGDECZ8+eRVFREa5cuYKDBw+66qurqqpgt9vx1ltv+bz206dP+7x2QkjjQ6UghBDCIScnBzExMfjiiy+g0+lw8803o2vXrpKs2zmq6ryY0UloRDsuLg46nQ7vvfee3+Vt27YF4Cj9cF4sWVhYiO3bt+M///kP2rRpg0mTJnGuPyUlBRkZGfjkk08wePBg7Ny5EyNHjnSVPcTHxwMA5s6di969e/s8vkmTJrzbHxMTg7vuuguff/45UlNTodfrXSUe/mzduhU6nQ4rVqyATOY5FrRgwQJs2rQJf/vb3xAbGwuGYXwuIjSZTDhw4AAyMjJ4t8upX79+SEpKwueff46kpCSo1WoMGTLEte0Mw2DChAl+D7C4asQJIY0HjVgTQggHlUqFwYMH48svv8Tnn38e0Gi1kNjYWADA5cuXXbdZLBYUFhZ63M87mezduzf0ej1YlkW3bt1c/06fPo3ly5fDarXiiy++QN++fVFWVga5XI7MzEw899xziI+Px2+//Sa4baNHj8aePXuwd+9elJaWenQDad++PZo1a4ZffvnF4/mTk5Px6quv4uTJk4Lrv/fee3H69Gm8++67+OMf/+jTutDJbDZj586dGDRoEPr164c+ffp4/LvnnntQVFSEo0ePIiYmBrfeeqtPj/E9e/Zg8uTJKC0tdR0c8JHL5Rg+fDi++eYbfPHFFxg8eDB0Oh0Ax3vWuXNnnD9/3uO1p6SkYNmyZTh48KDg+gkhDRsl1oQQwuPuu+/GkSNHcPDgQUkT6yZNmiAzMxPvv/8+du7ciT179uDRRx/16SwRHx+PK1eu4Ntvv0VpaSkGDBiArKwsTJ06FR988AEOHjyIt956C8899xxkMhkSExPRo0cP2O12TJs2Dbt27cL+/fuxYMECXL9+3TX6ysf5Ol988UX07t0bt9xyi2uZXC7HrFmzsHHjRvzrX//Cvn378Pnnn2PixIk4efIkunTpIrj+nj17ol27dvj+++95y0B27dqFyspKzi4sI0aMAMMw2LhxIwBg5syZOH78OB5//HHs2bMHW7duxfPPP4/BgwcjNTXVddHm7t27UVRUxPm8I0aMQHFxMQ4fPuwzmv74449j7969eOKJJ/Dtt9/if//7HyZNmoT9+/eLeu2EkIaNEmtCCOHxxz/+EfHx8UhJSUGHDh0kXfeiRYvQtWtXzJ8/H/PmzUOXLl3w97//3eM+o0aNwh/+8AdMmzYN27Ztg0wmw5tvvomhQ4di9erVmDhxoqv13pIlSwAALVq0wJo1axAXF4dnnnkGU6ZMwY8//ohly5Z5dPvgEhsbiz/96U+4ePGix2i105gxY/Dqq6/ihx9+wCOPPILnnnsON998M95//320bt1a1GsfOHAgmjRpgsGDB3PeZ+vWrWjSpAn69+/vd/lNN92ErKwsfP7557h27Rpuv/12rFq1Cj/99BOmTZuG119/HcOHD8fixYsBOMpchg0bhg0bNmD27Nmcz9upUyekpqaiWbNm6Nevn8ey/v37Y+3atbh06RJmzpyJuXPnQi6X45133nF1biGENF4MW9craQghhJAAsCyLoUOHon///nj66afDvTmEECIZuniREEJIvaiursa6detw/Phx/Pzzz64ZDwkhpKGgxJoQQki90Gg02LhxI+x2O1566SXRZSOEEBItqBSEEEIIIYQQCdDFi4QQQgghhEiAEmtCCCGEEEIkQIk1IYQQQgghEqDEmhBCCCGEEAlQYk0IIYQQQogEKLEmhBBCCCFEApRYE0IIIYQQIgFKrAkhhBBCCJHA/wO1Zi3WVbHDhwAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 800x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "columns = ['Minutes Lightly Active','Minutes Sedentary', 'Minutes Very Active']\n",
+    "for i in range(len(columns)):\n",
+    "    sns.set(rc={\"figure.figsize\": (8,3)})\n",
+    "    plt.figure(i)\n",
+    "    plot =sns.scatterplot(x=columns[i], y=\"Steps\", data=fitbit);\n",
+    "    "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -111,7 +339,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [
diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb
index d7465f0..6f2046e 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,9 +40,153 @@
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   PassengerId  Survived  Pclass  \\\n",
+       "0            1       0.0       3   \n",
+       "1            2       1.0       1   \n",
+       "2            3       1.0       3   \n",
+       "3            4       1.0       1   \n",
+       "4            5       0.0       3   \n",
+       "\n",
+       "                                                Name  Gender   Age  SibSp  \\\n",
+       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
+       "\n",
+       "   Parch            Ticket     Fare Cabin Embarked  \n",
+       "0      0         A/5 21171   7.2500    U0        S  \n",
+       "1      0          PC 17599  71.2833   C85        C  \n",
+       "2      0  STON/O2. 3101282   7.9250    U0        S  \n",
+       "3      0            113803  53.1000  C123        S  \n",
+       "4      0            373450   8.0500    U0        S  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "titanic=pd.read_csv(\"C:/PATRICIA/Ironhack/Laboratories/lab-matplotlib-seaborn/data/titanic.csv\")\n",
+    "titanic.head()"
    ]
   },
   {
@@ -54,10 +198,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1309, 12)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Gender', 'Age', 'SibSp',\n",
+       "       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.columns"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -69,26 +248,365 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PassengerId</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>1305</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>1306</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>1307</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>1308</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>1309</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1309 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      PassengerId  Pclass  SibSp  Parch\n",
+       "0               1       3      1      0\n",
+       "1               2       1      1      0\n",
+       "2               3       3      0      0\n",
+       "3               4       1      1      0\n",
+       "4               5       3      0      0\n",
+       "...           ...     ...    ...    ...\n",
+       "1304         1305       3      0      0\n",
+       "1305         1306       1      0      0\n",
+       "1306         1307       3      0      0\n",
+       "1307         1308       3      0      0\n",
+       "1308         1309       3      1      1\n",
+       "\n",
+       "[1309 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.select_dtypes(int, float) #numerical would be: PassengerId, Pclass, SibSp, Parch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>Spector, Mr. Woolf</td>\n",
+       "      <td>male</td>\n",
+       "      <td>A.5. 3236</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>Oliva y Ocana, Dona. Fermina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>PC 17758</td>\n",
+       "      <td>C105</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>Saether, Mr. Simon Sivertsen</td>\n",
+       "      <td>male</td>\n",
+       "      <td>SOTON/O.Q. 3101262</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>Ware, Mr. Frederick</td>\n",
+       "      <td>male</td>\n",
+       "      <td>359309</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>Peter, Master. Michael J</td>\n",
+       "      <td>male</td>\n",
+       "      <td>2668</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1309 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                   Name  Gender  \\\n",
+       "0                               Braund, Mr. Owen Harris    male   \n",
+       "1     Cumings, Mrs. John Bradley (Florence Briggs Th...  female   \n",
+       "2                                Heikkinen, Miss. Laina  female   \n",
+       "3          Futrelle, Mrs. Jacques Heath (Lily May Peel)  female   \n",
+       "4                              Allen, Mr. William Henry    male   \n",
+       "...                                                 ...     ...   \n",
+       "1304                                 Spector, Mr. Woolf    male   \n",
+       "1305                       Oliva y Ocana, Dona. Fermina  female   \n",
+       "1306                       Saether, Mr. Simon Sivertsen    male   \n",
+       "1307                                Ware, Mr. Frederick    male   \n",
+       "1308                           Peter, Master. Michael J    male   \n",
+       "\n",
+       "                  Ticket Cabin Embarked  \n",
+       "0              A/5 21171    U0        S  \n",
+       "1               PC 17599   C85        C  \n",
+       "2       STON/O2. 3101282    U0        S  \n",
+       "3                 113803  C123        S  \n",
+       "4                 373450    U0        S  \n",
+       "...                  ...   ...      ...  \n",
+       "1304           A.5. 3236    U0        S  \n",
+       "1305            PC 17758  C105        C  \n",
+       "1306  SOTON/O.Q. 3101262    U0        S  \n",
+       "1307              359309    U0        S  \n",
+       "1308                2668    U0        C  \n",
+       "\n",
+       "[1309 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.select_dtypes(object) #numerical would be: Name , Gender, Ticket, Cabin, Embarked"
+   ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "#### Set the plot style to classic and the figure size to (12,6).\n",
-    "**Hint**: To set the style you can use matplotlib or seaborn functions. Do some research on the matter."
+    "**Hint**: To set the style you can use matplotlib or seaborn functions. Do some research on the matter.\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# what do I have to polot??? I will do a bar plot of survivals just for doing one to fit the size required\n",
+    "sns.barplot(x='Embarked',y = 'PassengerId', hue ='Gender', data = titanic)\n",
+    "sns.set(rc={\"figure.figsize\": (12.,6.)})\n",
+    "# sns.set_style(\"classic\") -> ValueError: style must be one of white, dark, whitegrid, darkgrid, ticks so I changed it to dark\n",
+    "sns.set_style(\"dark\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Gender', 'Age', 'SibSp',\n",
+       "       'Parch', 'Ticket', 'Fare', 'Cabin', 'Embarked'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "titanic.columns"
    ]
   },
   {
@@ -100,11 +618,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 31,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "sns.histplot(x=titanic.Age ,bins=15);"
    ]
   },
   {
@@ -121,7 +650,7 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "too small bins does not let you see so clear the distribution of this variable\n",
     "\"\"\""
    ]
   },
@@ -135,22 +664,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "titanic[\"Gender\"].value_counts().plot(kind=\"bar\", color=\"green\", title=\"passangers per gender\");\n",
+    "sns.set(rc={\"figure.figsize\": (8.,4.)});\n",
+    "plt.xticks(rotation=0.5);\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "sns.barplot( y='PassengerId',hue ='Gender', data= titanic)\n",
+    "sns.set(rc={\"figure.figsize\": (8.,4.)})\n",
+    "\n"
    ]
   },
   {
@@ -162,11 +717,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Pclass', ylabel='count'>"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "sns.countplot(x='Pclass', hue='Pclass', data = titanic)"
    ]
   },
   {
@@ -185,11 +761,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 92,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "\n",
+    "    plot =sns.boxplot(x=\"Age\",  data=titanic)"
    ]
   },
   {
@@ -199,7 +787,9 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "he box shows the quartiles of the dataset while the whiskers extend to show the rest of the distribution, \n",
+    "except for points that are determined to be “outliers” using a method that is a function of the inter-quartile range\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -213,22 +803,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x193cd664310>"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "plt.scatter(x=titanic.Age, y=titanic.Fare, c='black')\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Age', ylabel='Fare'>"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "sns.scatterplot(x='Age', y = 'Fare', data = titanic, color = 'red')"
    ]
   },
   {
@@ -240,11 +872,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "corr_matrix = titanic[['Age', 'Fare', 'Pclass', 'Survived']].corr()\n",
+    "\n",
+    "plt.figure(figsize=(10, 8))  # Adjust the figure size as needed\n",
+    "sns.heatmap(corr_matrix, annot=True, cmap=\"coolwarm\")\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
@@ -261,7 +909,7 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "the Fare with the Pclass (correlation of 0.56) and the second Pclass with Age\n",
     "\"\"\""
    ]
   },
@@ -274,13 +922,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 89,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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8SJIUFBQkSQ5bCElS3bpBDv0AXMT2W9cflhYAgMlkZ2dLkg4f/u9ltxD6eT8AF7H91vWHVwoATCY0NLRG+wG1UVlZ2RW/hjkQZAHAZLp37yFJslqtmjp1tm6/vYfatGmn22/voalTZ8tqtTr0A3BR+fZbTZs2k79/HYdj/v511LRpM6WlLXbYCQTOzSmWFqxatUqpqak6fPiwGjdurISEBP3xj3+UJB05ckQTJ07UN998I29vb/3pT3/SiBEj5OrqanDVAGCMH3/cL0kqKSnRyJFD7O179vxHX3yxwaEfWwgBPynffis7O1sdOkRr2LARDjcT2bHjW3s/xo45GD4ju3r1ao0bN079+vXTmjVrdNdddykxMVHbt29XcXGxBg0aJElaunSpxo8fr/fee09z5swxuGoAMM7Vbg3EFkKAo1OnTkmS2rWLUkJCoiIiWsjT01MRES2UkJCodu2iHPrB+Rk6I1tWVqaZM2fqkUceUb9+/SRJTzzxhLZu3aotW7bo6NGjOnbsmJYtW6Y6deooMjJSOTk5+tvf/qZhw4bJ3d3dyPIBwBC+vr6SJB8fH7322iz97/9+rqysLIWGhiomJlZPPz1CZ8+etfcDcFFBQZ4kqVOninfuslgsio7urP/8Z6e9H5yfoUH2wIEDOnr0qO6++26H9rfeekuSNH78eN14442qU+endSzdunVTQUGB0tPTFRUVVeXntloNn4zGL7i6WuyPvD7A5WVmHpF0cZstT093NWvWTIGBgQoICJCnp7sCA4N09uxZZWYeUYcOHYwtFnAi5fvDfvvtVsXEdNe+fd/bb1HbokVL7dixzd6P9yFzMDzIStK5c+c0aNAg7dmzRw0bNtQTTzyh2NhYHT9+XOHh4Q7fU34VbmZmZpWDrMXiosBAn+oVjxqXk+MpSfLz8+T1Aa4gLy9X0sXtt4YNe+yy22/l5eUyloCfady4viRp164dVxw7jRvXZ+yYhKFBtqCgQJL07LPPKiEhQWPGjNG6desUHx+vBQsWqLCwUP7+/g7f4+HhIUm6cOFClZ/XZitTXt65qheO30R+fqH9MTf3rMHVAM6rTp26V92PsQT8pH79pvL391deXt5lt9/y96+j+vWbMnYM5u/vZf+k9koMDbJubm6SpEGDBikuLk6S1Lp1a+3Zs0cLFiyQp6enw19L0k8B1tvbu1rPXVLC1hrOprTUZn/k9QEuLybm91qy5F1ZrVbNmDFXBw/+aP94tGnTGzRy5BCVlJQoJub3jCXgZ2w2m8rza+vWbdWuXZTc3NxVXFyk//xnp3bt2q6ysjKVlNjEPRHMwdCXKSwsTJIUGRnp0N68eXMdOXJE4eHhysrKcjhW/nX59wJAbfPz7bfGjn1Kx49nqmXLVjp+PFNjxz6lkpISh34ALsrI2Kv8/Dz16dNXx44d0eLFC7VwYaoWL16oY8eO6P77H1R+fp4yMvYaXSqukqEzsjfeeKN8fHy0c+dOde7c2d6ekZGhxo0b66abbtKqVatUUFBgv/p206ZN8vHxUatW3AcZQO1Uvq1Wjx5/0Oeff6Z33nnLfsxisahHjzu1YcM6tt8CfqF8TPz+93fqj3+8WxkZe+2fZkRGttKFCxe0cuUyxo6JGBpkPT09NXjwYM2ZM0dhYWFq37691qxZo6+//loLFy5Uhw4dNGPGDD355JMaM2aMjhw5ouTkZD322GNsvQWg1iq/8rpr15v14IMP6/PPP7NvvxUb21MHD/6oDRvW2fsBuKh8TBw9elgRES0q3PTg6NHDDv3g/AxfARIfH68RI0Zo+vTp6tWrlz799FPNmjVLXbt2lYeHh+bPny+bzaYHH3xQSUlJevjhhxUfH2902QBgmMjIVgoODtGaNatVUlKiEyeO6/jxTJ04cVwlJSVau/ZDBQeHKDKST66An/v52PnlbWhtNhtjx4Rcyn552V4tUFpq06lTXI3obA4dOqCkpHF6+eVJatKkmdHlAE5t27YtmjNnxmWPDx/+pDp16nLtCgJMYtu2LUpJmamoqGj16nWP/Ra1a9d+qJ07tys+fhRjxwnUrevj/LsWAACq5uuvv/rV47wZAxV16tRF8fGjlJa2WJMnj7e3BweHEGJNiCALACZTVFSkHTu2yWq16vXXUy+5/daOHdtUVFTE9QTAJXTq1EXR0Z0rXOz1y9vWwvkRZAHAZNLSFkmSevbsJU9PzwoXrNxxxx/0yScfKy1tkQYMeMyIEgGnZ7FYKowdmA9/egCAyZw4cUKSdOut3S95/He/6+7QD0BFNptNe/fu0aZN/9bevXsqXPwFc2BGFgBMJiwsTHv2/EdfffWl/vSnP1c4/q9/fWnvB6Cibdu2KC1tsbKzT9rbgoND1LdvP9bImgwzsgBgMn379pckffbZ2gq38S4qKtL69Z869APwk/JdCxo2bKRx45KUkvK2xo1LUsOGjZSSMlPbtm0xukRUAkEWAEzG3d1dHTp0UklJiRISBmv58iXKzDym5cuXKCFhsEpKStShQycu9AJ+wWazKS1tsaKiopWQkKiIiBby9PRUREQLJSQkKioqWmlpi1lmYCIEWQAwoZEjR9vD7CeffKxx48bok08+tofYkSNHG10i4HQyMvYqO/ukeve+t8IOBRaLRb163aPs7JPKyNhrUIWoLNbIAoBJjRw5WkVFRUpLW6QTJ04oLCxMffv2ZyYWuIzTp09Lkho0aHTJ4+Xt5f3g/AiyAPArsrJO6Pz5c0aXcVkxMbfb/z0z86iBlVyZl5e3QkO5AA3GCQgIkCQdPXpYEREtKhw/evSwQz84P4IsAFxBfn6ennsuUbXwbt41zmKxaPr0FPn5+RtdCmqpyMhWCg4O0Zo1q5WQkOiwvMBms2nt2g8VHByiyMhWBlaJyiDIAsAV+Pn569VXk516RjYz86hSU1M0ZEi86tVrYHQ5l+Xl5U2IhaEsFov69u2nlJSZmj07Wb163aMGDRrp6NHDWrv2Q+3cuV3x8aO4w5eJEGQB4FeY5ePwevUaqEmTZkaXATi1Tp26KD5+lNLSFmvy5PH29uDgEMXHj2IfWZMhyAIAgFqlU6cuio7urIyMvTp9+rQCAgIUGdmKmVgTIsgCAIBax2KxqFWrNkaXgWriTw8AAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKXOwFAABqHW7vfH0gyAIAgFrl9denaceObfav9+z5j774YoM6dOikkSNHG1gZKoulBQAAoNYoD7FWq1W9et2jV1+9eIcvq9WqHTu26fXXpxldIiqBIAsAAGqFoqIie4idMWOu/P39tX79p/L399eMGXPtYbaoqMjoUnGVDF9acOLECcXExFRof/XVV3X//fcrPT1dkyZN0u7du1W3bl0NHDhQjzzyiAGVAgAAM0tLWyRJatSoiUaOHCKbzWY/tmzZEjVu3EwHD/6gtLRFGjDgMaPKRCUYHmT37t0rDw8PbdiwQS4uLvZ2Pz8/5ebm6tFHH1VsbKySkpK0Y8cOJSUlycfHR3369DGwagAAYDYnTpyQJB048IP8/evo/vsfUPv2HbVr17dauXK5Dh78waEfnJ/hQTYjI0NNmzZVaGhohWN///vf5ebmpgkTJshqtSoiIkKHDh1SamoqQRYAAFRKSEiIJMnd3V1Tp86S1XoxBsXExOqWW2KUkDBYRUVF9n5wfoYH2e+//14RERGXPLZ161Z16dLF/oMmSd26ddO8efOUnZ2t4ODgKj+v1cryYGfj6mqxP/L6AFePsQNcnbCwMElSSUmJJJv27UvX6dOnFRAQoGbNIv6//WI/xpI5GB5kMzIyFBgYqH79+unAgQNq0qSJnnjiCcXExOj48eOKjIx06F8+c5uZmVnlIGuxuCgw0KfataNm5eR4SpL8/Dx5fYBKYOwAV+fs2TxJks1m05AhA6/Yj7FkDoYG2ZKSEv34449q3ry5xo4dK19fX61Zs0ZDhgzRggULVFhYWGFzYg8PD0nShQsXqvy8NluZ8vLOVat21Lz8/EL7Y27uWYOrAcyDsQNcnTp16l51P8aSsfz9veyfNl2JoUHWarVq8+bNcnV1lafnxRmFtm3bat++fXrrrbfk6elZYQuM8gDr7e1drecuKbH9eidcU6WlNvsjrw9w9Rg7wNWJifm9lix5V1arVcnJKfrgg2X2O3vFxT2oxMR4lZSUKCbm94wlkzB8aYGPT8Wp+xYtWuhf//qXwsPDlZWV5XCs/OvydS7OIicnWwUF+UaXYWqZmUcdHlE9vr5+Cgqq+jpyALje/PjjfkkXPxF+4YWndd99f9Jdd92nnTu364UXnravkf3xx/1q1aqNkaXiKhkaZPft26e+ffvqjTfeUNeuXe3tu3fvVvPmzdW6dWstXbpUpaWlcnV1lSRt2rRJzZo1U1BQkFFlV5CTk63nnx+j4mI2UK4JqakpRpdwXXBzc9fkyVMJswDw/06fPi1J6tHjTn3++Xq9885b9mMWi0U9etypDRvW2fvB+RkaZCMiInTDDTdowoQJSkpKUmBgoJYtW6YdO3ZoxYoVCgoK0vz58zVu3DgNHjxYu3bt0sKFC5WUlGRk2RUUFOSruLhInvW7yeLub3Q5gGxFeSo8tkkFBfkEWQD4fwEBAZKkrl1v0YMP9tPnn3+mrKwshYaGKja2pw4e/FEbNqyz94PzMzTIWiwWzZ07V9OmTdOTTz6pvLw8tWnTRgsWLLDvVjB//nxNmjRJcXFxCgkJ0TPPPKO4uDgjy74si7u/XL2ubiE5AADXs6ysEzp/3rkurPbw8FBAQKCWL39Pf/5zP7Vs2VotW7aWJB05ckjvv79UAQGB8vDw0KFDBwyu9ideXt4KDXWuJZXOwvA1ssHBwXr11Vcve7x9+/ZKS0u7hhUBAIDqyM/P03PPJaqsrMzoUi7p9OlcTZjw4mWPT5x4+WNGsFgsmj49RX5+fOr7S4YHWQAAcH3x8/PXq68mO92MbLn09O/02Wef6PTpXHtbQECgevb8o1q3vtHAyi7Ny8ubEHsZBFkAAFDjnPmj8CZNmqlnz1766qsv9Pe/v6W//GWQbr31dlks3M3LbHjFAABArWOxWNS06Q2SpKZNbyDEmhSvGgAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCWCLAAAAEyJIAsAAABTIsgCAADAlAiyAAAAMCVrVb7p1KlTeuutt/Tvf/9bJ0+e1Pz587Vhwwa1atVKPXr0qOkaAQAAgAoqPSN7+PBh3XPPPVq2bJnCwsKUk5Oj0tJSHThwQCNHjtSXX375G5QJAAAAOKr0jOxf//pXBQUF6d1335W3t7fatm0rSZo2bZouXLiguXPnqnv37jVdJwAAAOCg0jOyGzduVHx8vPz9/eXi4uJwrG/fvtq3b1+NFQcAAABcTpUu9rJaLz2RW1RUVCHcAgAAAL+FSgfZzp07a968eTp37py9zcXFRTabTe+99546duxYowUCAAAAl1LpNbKjR4/WQw89pJ49e6pr165ycXHRW2+9pR9++EGHDh3SkiVLfos6AQAAAAeVnpGNjIzU+++/r65du2rz5s1ydXXVv//9bzVu3FhLly5V69atf4s6AQAAAAdV2ke2WbNmmjZtWk3XogMHDuj+++/Xiy++qPvvv1+SlJ6erkmTJmn37t2qW7euBg4cqEceeaTGnxsAAADmUukg+80331z2mIuLi3x8fNSoUSP5+vpW6rzFxcUaM2aMw9rb3NxcPfroo4qNjVVSUpJ27NihpKQk+fj4qE+fPpUtHQAAANeRSgfZAQMG2HcmKCsrs7f/fLcCi8Wi++67TxMmTJCrq+tVnXfWrFkVwu+yZcvk5uamCRMmyGq1KiIiQocOHVJqaipBFgAAoJar9BrZN954Q+7u7nrwwQf17rvvau3atVq0aJH69+8vq9Wq5557Ts8//7zWr1+v1NTUqzrnN998o7S0NE2ZMsWhfevWrerSpYvDdl/dunXTwYMHlZ2dXdnSAQAAcB2p9Izsm2++qYcffljPPvusve2GG25Q586d5e3trfXr1+vdd9+VJL3zzjt64oknrni+vLw8PfPMM3rhhRdUr149h2PHjx9XZGSkQ1toaKgkKTMzU8HBwZUt385qrdIWupfk6nrxXLYLeTV2TqA6yn8WXV0tNfqzDudU/juI1xuoHMaO+VU6yH733XdKSEi45LGuXbtqwYIFkqSWLVsqMzPzV883fvx4RUdH6+67765wrLCwUO7u7g5tHh4ekqQLFy5UtnQ7i8VFgYE+Vf7+X8rJ8ZQkFWZuqrFzAjXBz8+zRn/W4ZzKfwfxegOVw9gxv0oH2ZCQEG3evFm33HJLhWObN2+2z5Lm5ubK39//iudatWqVtm7dqo8++uiSxz09PVVUVOTQVh5gvb29K1u6nc1Wpry8c7/e8Srl5xdKkjzrdZPF48r/zcC1YLuQp8LMTcrPL1Ru7lmjy8FvrPx3EK83UDmMHefl7+9lnzG/kkoH2YceekjTpk3T+fPndeeddyooKEjZ2dnasGGD3n33XY0cOVLHjx/XG2+8oa5du17xXCtWrFBOTo66d+/u0P7yyy9r7dq1Cg8PV1ZWlsOx8q/DwsIqW7qDkhJbtb7/50pLL57L4uEvV6+6NXZeoLpKS201+rMO51T+O4jXG6gcxo75VTrIDho0SOfPn9f8+fPta2HLysrk5+enUaNG6fHHH9fq1atVVFSkxMTEK55r6tSpKiwsdGjr2bOnRo4cqXvuuUerV6/W0qVLVVpaat/9YNOmTWrWrJmCgoIqWzoAAACuI1W6IUJCQoIGDRqk7du3Kzc3V2FhYapfv75Wrlyp2NhY/eMf/9B99933q+e53KxqUFCQwsLC1KdPH82fP1/jxo3T4MGDtWvXLi1cuFBJSUlVKRsAAADXkSoFWUny8vLSLbfcoq+++koLFizQP//5T5WUlKhhw4ayWGrmyr+goCDNnz9fkyZNUlxcnEJCQvTMM88oLi6uRs4PAAAA86pSkD116pTef/99LVu2TEePHpWvr6/i4uJ07733qnPnztUq6Pvvv3f4un379kpLS6vWOQEAAHD9qVSQ3bRpk9LS0rRhwwaVlpaqU6dOOnr0qObMmaMuXbr8VjUCAAAAFVxVkF24cKHS0tJ04MABNWnSRPHx8YqLi5O3t7e6dOnicHtaAAAA4Fq4qiA7ZcoUtWzZUu+8847DzGt+fv5vVhgAAABwJVd1VVbv3r116NAhDR06VPHx8Vq/fr1KSkp+69oAAACAy7qqGdlp06apoKBAH330kVauXKkRI0YoMDBQPXr0kIuLC0sLAFRJTk62Cgr4ZKe6MjOPOjyienx9/RQUFGx0GQCuwlVf7OXr66uHHnpIDz30kPbt26cVK1boo48+UllZmZ5//nn17t1bvXv3VvPmzX/LegFcJ3JysvX882NUXFz0651xVVJTU4wu4brg5uauyZOnEmYBE6jS9lstWrTQ2LFjNWbMGH3xxRdasWKF3nzzTc2dO1ctWrTQhx9+WNN1ArjOFBTkq7i4SJ71u8ni7m90OYAkyVaUp8Jjm1RQkE+QBUygyjdEkCSr1ao77rhDd9xxh7Kzs/XBBx/ogw8+qKnaANQCFnd/uXrVNboMAIAJ1cwtuCQFBwfr8ccf19q1a2vqlAAAAMBl1ViQBQAAAK4lgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlq9EFAACAysnJyVZBQb7RZZheZuZRh0dUna+vn4KCgq/58xoeZHNycjRlyhR99dVXunDhgm666SY9++yzioiIkCSlp6dr0qRJ2r17t+rWrauBAwfqkUceMbhqAACMkZOTreefH6Pi4iKjS7lupKamGF2C6bm5uWvy5KnXPMwaHmSHDx8um82m1NRU+fj4aObMmRo4cKA+++wzFRYW6tFHH1VsbKySkpK0Y8cOJSUlycfHR3369DG6dAAArrmCgnwVFxfJs343Wdz9jS4HkK0oT4XHNqmgIL92BdkzZ86oQYMGGjp0qCIjIyVJ8fHxuvfee7Vv3z5t3LhRbm5umjBhgqxWqyIiInTo0CGlpqYSZAEAtZrF3V+uXnWNLgMwlKEXe9WpU0fTpk2zh9hTp05p4cKFCg8PV/PmzbV161Z16dJFVutPebtbt246ePCgsrOzjSobAAAATsDwpQXlXnzxRS1btkzu7u5644035O3trePHj9tDbrnQ0FBJUmZmpoKDqz59bbXWXIZ3db14LltRXo2dE6iO8p9FV1dLjf6s16TycQM4I8YOUHlGjBunCbJ/+ctf1LdvXy1evFjDhw/XkiVLVFhYKHd3d4d+Hh4ekqQLFy5U+bksFhcFBvpUq96fKy4OlZu7uwqPbaqxcwLV5eburgYNQmv0Z70m5eR4Gl0CcFl+fp6MHaCSjBg3ThNkmzdvLkmaNGmSdu7cqUWLFsnT01NFRY5XZZYHWG9v7yo/l81Wpry8c1Uv9hfc3Hz01ynJbIVSTceOHdXcubM1bFiC6tdvYHQ5pufr6yc3Nx/l5p41upRLys8vNLoE4LLy8wsZO0Al1eS48ff3uqpPHwwNsqdOndLGjRt155132tfBWiwWNW/eXFlZWQoPD1dWVpbD95R/HRYWVq3nLimxVev7fykgoK4CAlh0Xx2lpRdfk7CwemrYsInB1VwfavrnvCaVv962CyzJgfMo/3ksLbU57fgpHzuAszFi3BgaZLOzs5WYmKj58+fr1ltvlSQVFxdrz549io2NVXBwsJYuXarS0lK5urpKkjZt2qRmzZopKCjIyNIB1JDCTJbkAACqxtAgGxkZqZiYGL3yyit65ZVXVKdOHc2bN095eXkaOHCgPDw8NH/+fI0bN06DBw/Wrl27tHDhQiUlJRlZNoAa5Fmvmywe7IUJ52C7kMcfV4CJGL5GNjk5WdOmTdNTTz2l/Px8de7cWYsXL1b9+vUlSfPnz9ekSZMUFxenkJAQPfPMM4qLizO4agA1xeLBXpgAgKoxPMj6+flp/PjxGj9+/CWPt2/fXmlpade2KAAAADg9NqMDAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSQRYAAACmZPgNEQAAQOXZLuQZXQIgydifRYIsAAAmVJi5yegSAMMRZAEAMCHPet1k8fA3ugxAtgt5hv1hRZAFAMCELB7+cvWqa3QZgKG42AsAAACmRJAFAACAKRFkAQAAYEoEWQAAAJgSF3sBMJStiL0w4Tz4eQTMhSALwBC+vn5yc3NX4TH2woRzcXNzl6+vn9FlALgKBFkAhggKCtbkyVNVUJBvdCmml5l5VKmpKRoyJF716jUwuhzT8/X1U1BQsNFlALgKBFkAhgkKCiYw1KB69RqoSZNmRpcBANcMF3sBAADAlAiyAAAAMCWCLAAAAEzJ8CB7+vRpvfTSS4qJiVHHjh310EMPaevWrfbjGzdu1P3336+oqCj94Q9/0Jo1awysFgAAAM7C8CCbmJio7du3Kzk5WStWrFDr1q01aNAg/fjjj/rhhx80dOhQ3XrrrVq5cqUeeOABPfPMM9q4caPRZQMAAMBghu5acOjQIX399ddasmSJOnXqJEl68cUX9dVXX+mjjz5STk6OWrZsqaeeekqSFBERoT179mj+/Pm6+eabjSwdAAAABjN0RjYwMFCpqalq166dvc3FxUUuLi7Ky8vT1q1bKwTWbt26adu2bSorK7vW5QIAAMCJGDoj6+/vr9tuu82hbd26dTp06JCef/55ffDBBwoPD3c4HhoaqvPnzys3N1d169at8nNbrYavqsAvuLpa7I+8PsDVY+zULuWvN7fThbMo/1k04neQU90Q4dtvv9Vzzz2nnj17qnv37iosLJS7u7tDn/Kvi4qKqvw8FouLAgN9qlUral5Ojqckyc/Pk9cHqATGTu1SXBwqN3du7wzn4uburgYNQq/57yCnCbIbNmzQmDFj1LFjR02dOlWS5OHhUSGwln/t5eVV5eey2cqUl3eu6sXiN5GfX2h/zM09a3A1gHkwdmoXNzcf/XVKMrd3rgHHjh3V3LmzNWxYgurX5/bO1eHr6yc3N58a+x3k7+9l//ThSpwiyC5atEiTJk3SH/7wB/31r3+1z7rWq1dPWVlZDn2zsrLk7e0tPz+/aj1nSYmtWt+PmldaarM/8voAV4+xU/sEBNRVQEDVl9fhovKxExZWTw0bNjG4GvMz4veP4YuplixZookTJ6pfv35KTk52WErQuXNnbdmyxaH/pk2b1LFjR1kshpcOAAAAAxk6I3vgwAFNnjxZd9xxh4YOHars7Gz7MU9PTw0YMEBxcXGaOnWq4uLi9M9//lOffvqp5s+fb2DVAAAAcAaGBtl169apuLhY69ev1/r16x2OxcXFacqUKUpJSdFrr72mv//972rYsKFee+019pAFAACAsUF22LBhGjZs2BX7xMTEKCYm5hpVBAAAALNgoSkAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJScKsjOmzdPAwYMcGhLT09X//791aFDB8XGxuqdd94xqDoAAAA4E6cJsosXL9aMGTMc2nJzc/Xoo4+qcePGWrFihYYPH66pU6dqxYoVxhQJAAAAp2E1uoATJ07o5Zdf1ubNm9W0aVOHY8uWLZObm5smTJggq9WqiIgIHTp0SKmpqerTp48xBQMAAMApGD4j+91338nNzU0ffvihoqKiHI5t3bpVXbp0kdX6U97u1q2bDh48qOzs7GtdKgAAAJyI4TOysbGxio2NveSx48ePKzIy0qEtNDRUkpSZmang4OAqP6/VaniGxy+4ulrsj7w+wNVj7ABVw9gxP8OD7JUUFhbK3d3doc3Dw0OSdOHChSqf12JxUWCgT7VqQ83LyfGUJPn5efL6AJXA2AGqhrFjfk4dZD09PVVUVOTQVh5gvb29q3xem61MeXnnqlUbal5+fqH9MTf3rMHVAObB2AGqhrHjvPz9vewz5lfi1EE2PDxcWVlZDm3lX4eFhVXr3CUltmp9P2peaanN/sjrA1w9xg5QNYwd83PqBSE33XSTtm3bptLSUnvbpk2b1KxZMwUFBRlYGQAAAIzm1EG2T58+Kigo0Lhx47R//36tXLlSCxcu1NChQ40uDQAAAAZz6iAbFBSk+fPn68CBA4qLi9Ps2bP1zDPPKC4uzujSAAAAYDCnWiM7ZcqUCm3t27dXWlqaAdUAAADAmTn1jCwAAABwOQRZAAAAmBJBFgAAAKZEkAUAAIApEWQBAABgSgRZAAAAmBJBFgAAAKZEkAUAAIApEWQBAABgSgRZAAAAmBJBFgAAAKZEkAUAAIApEWQBAABgSgRZAAAAmBJBFgAAAKZEkAUAAIApWY0uAACcXVbWCZ0/f87oMi6pqKhIq1atkCQtW/ae7ruvj9zd3Q2u6tK8vLwVGhpmdBm4Rpx53EjS6dOnNW/eLEnSX/86UUOHjlBAQICxRV0GY+fyCLIAcAX5+Xl67rlElZWVGV3Kr0pP36309N1Gl3FZFotF06enyM/P3+hS8Bsz07iRpMLCQs2c+ZrRZVwWY+fyCLIAcAV+fv569dVkp5tZWrp0kb7/Pl2urq66+eb/UXR0Z23fvlUbN36t0tJStWzZWn/+c3+jy3Tg5eXNG3Et4azjRpImTRqvkpJiSVJAQIB+//s79Y9/rNPp06clSVarm8aNG29cgZfA2Lk8giwA/Apn+0ivqKhI33+fLqvVquTkFH3wwTL94x/rFRYWpunT31BiYry+/z5d9eo1cNplBrj+Odu4kS4uJygPsePHT9GsWVP18cer5Ovrp/Hjp2j8+LEqKSlWnTqBTrvMAI5cyswy71+DSkttOnXqrNFlXHPOvF7JZrNp+/at+vjj1brrrnsVHd1ZFovzXovIeiUY6d1339YXX2xQaGiYsrJOVDhe3n777T00YMBjBlQIOKcnnxymvLy8X+3n7++vGTPmXoOKcDl16/rI1fXXcwAzsrWEmdYrffzxan388Wqjy7gi1ivBSCdOXAyvlwqxP28v7wfgonPnrm4y52r7wXgE2VrCWdcrpad/p2XL3lNkZEvdeutt9pmkr776pzIyvteDDz6k1q1vNLrMClivBCMFBQU7fH3zzb/TnXf21rp1a7Rx478u2w+o7Tw8PFRSUnJV/WAOpgiyNptNs2fP1vLly5Wfn6+bbrpJL730kho1amR0aabibB+F22w2zZkzQx06RCshIdG+lKBFi1a6+eZbNXt2sj7/fL169uzl1MsMgGvNZvvpjXjGjLny97/4R9Xjj8erb9/+evLJYRX6AZAsFtca7QfjmSIdpKSkaMmSJZo4caKWLl0qm82mwYMHq6ioyOjSUA0ZGXuVnX1SvXvfWyGoWiwW9ep1j7KzTyojY69BFQLOaefOHfZ/HzMmQcuXL1Fm5jEtX75EY8YkXLIfAKmgIN/ha29vHz388CPy9va5Yj84L6efkS0qKtLbb7+tMWPGqHv37pKk6dOn69Zbb9Vnn32mu+66y9gCUWXlW500aHDpmfXy9vJ+AC6y2WySpMDAusrNPaVPPvlYn3zysf14YGCgcnNz7f0AXPTL60TOnTurJUve+dV+cF5OPyO7d+9enT17VjfffLO9zd/fX23atNE333xjYGWorvKtTY4ePXzJ4+XtbIECOIqIaCFJOn06V6+/nqrbb++hNm3a6fbbe+j111Ptf/yV9wNwkb9/Hfu/jx8/Rf7+/rJarfL399f48VMu2Q/OzelnZI8fPy5JqlevnkN7aGio/VhVWK1On+Gve23atFFwcIjWrv1Qo0aNdlheYLPZ9MknHykkJFRt2rRhjSzwMyNGPKkhQwaqrKxMTz31hP7wh176y18e1f/+7xd66qkn7LNJI0Y8ye864GduuCFCO3Z8K0kaP36s6tevr4EDB+n999M0fvxYh36MHXNw+iB7/vx5SaqwqbeHh4fOnDlTpXNaLC4KDPT59Y74zT3++GBNmTJFKSkz9MADD6hx48b673//q+XLl2vHjm81duxYBQX5GV0m4GR81KJFC+3bt0+lpaVas+YjrVnzkUOPFi1aqF69IIPqA5xTx44d7EFWko4dO6bXX59+yX7kBHNw+iDr6ekp6eJa2fJ/l6QLFy7Iy8urSue02cqUl+dc21DVVq1bRykh4Sm99967evrpp+3tISGhSkh4Sq1bRyk3t/bdvAL4NS++OFEvvzxOBw78UOFYs2YRevHFiYwd4Bd+97tYLViw4IprYF1cXPS738Uyfgzm7+91fdwQoXxJQVZWlho3bmxvz8rKUsuWLat83pISLoJwFtHRnRUV1VEZGXt1+vRpBQQEKDKylSwWC68TcAUvvjhRhYWFSk2drZMnTyokJERDhiTI09OTsQNckkV33tlbn376sSQXST8FWhcXF5WVlenOO3tL4v3HLJw+yLZq1Uq+vr7avHmzPcjm5eVpz5496t+/v8HVoaZYLBa1atXG6DIA0/H09NTIkWOMLgMwjQcffFiS9Nlna2WzOQbZO+/sbT8Oc3ApM8EeE9OnT9fSpUs1efJkNWjQQK+99pqOHDmijz/+WG5ubpU+X2mpTadO8ZEBAAC1VUlJiT7//DNlZWUpNDRUsbE9ZbU6/fxerVG3rs9VLS0wRZAtLS1VcnKyVq5cqcLCQvudvRo2bFjF8xFkAQAAnNV1FWRrGkEWAADAeV1tkGWTNAAAAJgSQRYAAACmRJAFAACAKRFkAQAAYEoEWQAAAJhSrdy1oKyszGETZAAAADgPi8VFLi4uv9qvVgZZAAAAmB9LCwAAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFkAAACYEkEWAAAApkSQBQAAgCkRZAEAAGBKBFk4nXnz5mnAgAFGlwE4vdOnT+ull15STEyMOnbsqIceekhbt241uizA6eXk5Ojpp59Wt27dFB0drSFDhuiHH34wuixUAUEWTmXx4sWaMWOG0WUAppCYmKjt27crOTlZK1asUOvWrTVo0CD9+OOPRpcGOLXhw4fr0KFDSk1N1fvvvy9PT08NHDhQ58+fN7o0VBJBFk7hxIkTGjZsmKZOnaqmTZsaXQ7g9A4dOqSvv/5a48ePV+fOndWsWTO9+OKLCg0N1UcffWR0eYDTOnPmjBo0aKBXXnlF7du3V0REhOLj45WVlaV9+/YZXR4qiSALp/Ddd9/Jzc1NH374oaKioowuB3B6gYGBSk1NVbt27extLi4ucnFxUV5enoGVAc6tTp06mjZtmiIjIyVJp06d0sKFCxUeHq7mzZsbXB0qy2p0AYAkxcbGKjY21ugyANPw9/fXbbfd5tC2bt06HTp0SM8//7xBVQHm8uKLL2rZsmVyd3fXG2+8IW9vb6NLQiUxIwsA14Fvv/1Wzz33nHr27Knu3bsbXQ5gCn/5y1+0YsUK3XXXXRo+fLi+++47o0tCJRFkAcDkNmzYoMcee0wdOnTQ1KlTjS4HMI3mzZurbdu2mjRpkho0aKBFixYZXRIqiSALACa2aNEijRgxQrfffrvmzp0rDw8Po0sCnNqpU6e0Zs0alZSU2NssFouaN2+urKwsAytDVRBkAcCklixZookTJ6pfv35KTk6Wu7u70SUBTi87O1uJiYnauHGjva24uFh79uxRRESEgZWhKrjYCwBM6MCBA5o8ebLuuOMODR06VNnZ2fZjnp6e8vPzM7A6wHlFRkYqJiZGr7zyil555RXVqVNH8+bNU15engYOHGh0eagkgiwAmNC6detUXFys9evXa/369Q7H4uLiNGXKFIMqA5xfcnKypk2bpqeeekr5+fnq3LmzFi9erPr16xtdGirJpaysrMzoIgAAAIDKYo0sAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJYIsAAAATIkgCwAAAFMiyAIAAMCUCLIAAAAwJe7sBQDXyIABA7RlyxaHNjc3NwUHB+v222/Xk08+qTp16vzqecaOHastW7bo888//61KBQBTIMgCwDXUpk0bvfzyy/avi4uL9d133yk5OVnp6el677335OLiYmCFAGAeBFkAuIZ8fX3VoUMHh7abbrpJZ8+e1euvv66dO3dWOA4AuDTWyAKAE2jbtq0k6dixY5KkVatWKS4uTlFRUerevbumTZumoqKiS35vYWGhpk2bpp49e6pt27bq2LGjHn30UaWnp9v7nDp1SqNHj9b//M//qF27drr33nu1atUq+3Gbzabp06crNjZWbdu2VWxsrKZNm6bi4uLf7j8aAKqJGVkAcAIHDhyQJDVq1EiLFy/WhAkT9MADDygxMVGHDx/W3/72N505c0YTJkyo8L3PPPOMtm7dqsTERDVu3FiHDh3SzJkzNXr0aK1Zs0YuLi56+umnlZOTo6SkJPn6+mr16tV69tlnFR4erm7duunNN9/Ue++9p2effVaNGjXSzp07NX36dLm5uWnkyJHX+n8HAFwVgiwAXENlZWUqKSmxf33mzBlt2bJFb7zxhqKjo9WmTRsNHTpUPXr00CuvvGLvd/78ea1Zs6bCDGlRUZHOnj2rF154Qb169ZIkdenSRQUFBZoyZYqys7MVEhKiLVu2aPjw4erRo4e9T0BAgNzd3SVJW7ZsUdu2bdWnTx/7cS8vL/n5+f2m/z8AoDoIsgBwDX3zzTe68cYbHdosFotuueUWTZgwQQcPHlROTo7uuOMOhz6DBg3SoEGDKpzP3d1db731liTpxIkTOnDggA4ePKgvvvhCkuzLEbp27apZs2Zpz549uvXWW3Xbbbfp2WeftZ+na9eumjZtmh5++GHFxsaqe/fu6t+/f43+twNATSPIAsA1dOONNyopKUmS5OLiIg8PD9WrV0++vr6SpG3btkmSgoKCrvqcX331lSZPnqwff/xRPj4+atWqlby9vSVdnAGWpOnTp2vu3Ln65JNPtG7dOofw3KBBAw0ePFg+Pj5asWKFpk6dqtdee00tWrTQCy+8oG7dutXk/wIAqDFc7AUA15CPj4/atWundu3aqW3btmrRooU9xEqSv7+/pIsXZ/1cbm6uvv76a507d86h/b///a+GDx+u1q1ba/369dq2bZuWLFmi22+/3aGfn5+fnn76aX3++ef65JNPlJiYqG+//dYeqi0Wi/r166eVK1fq66+/1quvvqqioiKNGDHisheZAYDRCLIA4ERuuOEGBQYG2pcGlFu9erWGDBlSYY3s7t27deHCBQ0ZMkSNGze270H71VdfSbo4I3v06FHddttt+vTTT+3P8fjjj+uWW26x75Lw5z//2b4mNygoSPfff7/69eunvLw8FRQU/Kb/zQBQVSwtAAAn4urqqhEjRmjChAkKCgpSbGysDhw4oNdff139+vWrcOevG2+8UVarVa+99poee+wxFRUVaeXKlfryyy8lSefOnVPLli0VHh6uV155RQUFBWrcuLF2796tf/7znxo6dKiki3vZvv322woODlZ0dLROnDihBQsWqEuXLqpbt+61/t8AAFeFIAsATqZfv37y9vbWW2+9pbS0NIWHh+vxxx/X448/XqFvkyZNNG3aNM2ePVtPPPGE6tSpow4dOujdd9/VgAEDtHXrVrVs2VKzZ89WcnKyZs6cqdzcXNWrV08JCQkaMmSIJGnUqFFyd3fXihUrNGfOHPn5+Sk2NlajR4++1v/5AHDVXMrKrwQAAAAATIQ1sgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAUyLIAgAAwJQIsgAAADAlgiwAAABMiSALAAAAU/o/knopzvAFNbAAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 800x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "plot2 =sns.boxplot(y=\"Age\", x='Pclass', data=titanic)"
    ]
   },
   {
@@ -293,12 +952,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 90,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "g = sns.FacetGrid(titanic, col=\"Gender\")\n",
+    "g.map_dataframe(sns.histplot, x=\"Age\", binwidth=2, binrange=(0, 60))\n",
+    "\n",
+    "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -318,7 +998,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [
diff --git a/your-code/hello.png b/your-code/hello.png
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diff --git a/your-code/monthly_steps.png b/your-code/monthly_steps.png
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diff --git a/your-code/steps_w_wend.png b/your-code/steps_w_wend.png
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