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diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 9df5e53..9dffeba 100644
--- a/your-code/challenge-1.ipynb
+++ b/your-code/challenge-1.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,11 +35,420 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/Users/edwardrodger/Documents/BARCELONA_22-3/IRONHACK/Course/Week_2/lab-matplotlib-seaborn/your-code'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>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>0</th>\n",
+       "      <td>2015-05-08</td>\n",
+       "      <td>1934</td>\n",
+       "      <td>905</td>\n",
+       "      <td>0.65</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.355</td>\n",
+       "      <td>46</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.403891</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>92.086331</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2015-05-09</td>\n",
+       "      <td>3631</td>\n",
+       "      <td>18925</td>\n",
+       "      <td>14.11</td>\n",
+       "      <td>4</td>\n",
+       "      <td>611.000</td>\n",
+       "      <td>316</td>\n",
+       "      <td>61</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2248</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.767545</td>\n",
+       "      <td>Saturday</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.566667</td>\n",
+       "      <td>92.464358</td>\n",
+       "      <td>6.400000</td>\n",
+       "      <td>92.086331</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2015-05-10</td>\n",
+       "      <td>3204</td>\n",
+       "      <td>14228</td>\n",
+       "      <td>10.57</td>\n",
+       "      <td>1</td>\n",
+       "      <td>602.000</td>\n",
+       "      <td>226</td>\n",
+       "      <td>14</td>\n",
+       "      <td>77</td>\n",
+       "      <td>1719</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6.567891</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6.450000</td>\n",
+       "      <td>88.761468</td>\n",
+       "      <td>7.566667</td>\n",
+       "      <td>92.464358</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2015-05-11</td>\n",
+       "      <td>2673</td>\n",
+       "      <td>6756</td>\n",
+       "      <td>5.02</td>\n",
+       "      <td>8</td>\n",
+       "      <td>749.000</td>\n",
+       "      <td>190</td>\n",
+       "      <td>23</td>\n",
+       "      <td>4</td>\n",
+       "      <td>9620</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.119282</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5.183333</td>\n",
+       "      <td>88.857143</td>\n",
+       "      <td>6.450000</td>\n",
+       "      <td>88.761468</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2015-05-12</td>\n",
+       "      <td>2495</td>\n",
+       "      <td>502</td>\n",
+       "      <td>3.73</td>\n",
+       "      <td>1</td>\n",
+       "      <td>876.000</td>\n",
+       "      <td>171</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7360</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.317714</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.783333</td>\n",
+       "      <td>82.892057</td>\n",
+       "      <td>5.183333</td>\n",
+       "      <td>88.857143</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>362</th>\n",
+       "      <td>2016-05-03</td>\n",
+       "      <td>3796</td>\n",
+       "      <td>18588</td>\n",
+       "      <td>14.13</td>\n",
+       "      <td>16</td>\n",
+       "      <td>599.000</td>\n",
+       "      <td>275</td>\n",
+       "      <td>49</td>\n",
+       "      <td>79</td>\n",
+       "      <td>236</td>\n",
+       "      <td>...</td>\n",
+       "      <td>8.779972</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.283333</td>\n",
+       "      <td>91.951220</td>\n",
+       "      <td>5.233333</td>\n",
+       "      <td>90.229885</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>363</th>\n",
+       "      <td>2016-05-04</td>\n",
+       "      <td>3525</td>\n",
+       "      <td>16382</td>\n",
+       "      <td>12.39</td>\n",
+       "      <td>16</td>\n",
+       "      <td>684.000</td>\n",
+       "      <td>333</td>\n",
+       "      <td>10</td>\n",
+       "      <td>55</td>\n",
+       "      <td>2075</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7.698787</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.766667</td>\n",
+       "      <td>95.081967</td>\n",
+       "      <td>6.283333</td>\n",
+       "      <td>91.951220</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>364</th>\n",
+       "      <td>2016-05-05</td>\n",
+       "      <td>3649</td>\n",
+       "      <td>21913</td>\n",
+       "      <td>16.40</td>\n",
+       "      <td>19</td>\n",
+       "      <td>701.000</td>\n",
+       "      <td>287</td>\n",
+       "      <td>29</td>\n",
+       "      <td>90</td>\n",
+       "      <td>2249</td>\n",
+       "      <td>...</td>\n",
+       "      <td>10.190484</td>\n",
+       "      <td>Thursday</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>88.888889</td>\n",
+       "      <td>6.766667</td>\n",
+       "      <td>95.081967</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>365</th>\n",
+       "      <td>2016-05-06</td>\n",
+       "      <td>3539</td>\n",
+       "      <td>19023</td>\n",
+       "      <td>14.79</td>\n",
+       "      <td>15</td>\n",
+       "      <td>575.000</td>\n",
+       "      <td>298</td>\n",
+       "      <td>8</td>\n",
+       "      <td>85</td>\n",
+       "      <td>2112</td>\n",
+       "      <td>...</td>\n",
+       "      <td>9.190077</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.166667</td>\n",
+       "      <td>89.805825</td>\n",
+       "      <td>4.666667</td>\n",
+       "      <td>88.888889</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>366</th>\n",
+       "      <td>2016-05-07</td>\n",
+       "      <td>304</td>\n",
+       "      <td>9526</td>\n",
+       "      <td>7.08</td>\n",
+       "      <td>2</td>\n",
+       "      <td>564.000</td>\n",
+       "      <td>370</td>\n",
+       "      <td>13</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1604</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.399307</td>\n",
+       "      <td>Saturday</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.366667</td>\n",
+       "      <td>89.165187</td>\n",
+       "      <td>6.166667</td>\n",
+       "      <td>89.805825</td>\n",
+       "      <td>May</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>367 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           Date  Calorie burned  Steps  Distance  Floors  Minutes Sedentary  \\\n",
+       "0    2015-05-08            1934    905      0.65       0              1.355   \n",
+       "1    2015-05-09            3631  18925     14.11       4            611.000   \n",
+       "2    2015-05-10            3204  14228     10.57       1            602.000   \n",
+       "3    2015-05-11            2673   6756      5.02       8            749.000   \n",
+       "4    2015-05-12            2495    502      3.73       1            876.000   \n",
+       "..          ...             ...    ...       ...     ...                ...   \n",
+       "362  2016-05-03            3796  18588     14.13      16            599.000   \n",
+       "363  2016-05-04            3525  16382     12.39      16            684.000   \n",
+       "364  2016-05-05            3649  21913     16.40      19            701.000   \n",
+       "365  2016-05-06            3539  19023     14.79      15            575.000   \n",
+       "366  2016-05-07             304   9526      7.08       2            564.000   \n",
+       "\n",
+       "     Minutes Lightly Active  Minutes Fairly Active  Minutes Very Active  \\\n",
+       "0                        46                      0                    0   \n",
+       "1                       316                     61                   60   \n",
+       "2                       226                     14                   77   \n",
+       "3                       190                     23                    4   \n",
+       "4                       171                      0                    0   \n",
+       "..                      ...                    ...                  ...   \n",
+       "362                     275                     49                   79   \n",
+       "363                     333                     10                   55   \n",
+       "364                     287                     29                   90   \n",
+       "365                     298                      8                   85   \n",
+       "366                     370                     13                   10   \n",
+       "\n",
+       "     Activity Calories  ...  Distance_miles       Days  Days_encoded  \\\n",
+       "0                 1680  ...        0.403891     Friday           4.0   \n",
+       "1                 2248  ...        8.767545   Saturday           5.0   \n",
+       "2                 1719  ...        6.567891     Sunday           6.0   \n",
+       "3                 9620  ...        3.119282     Monday           0.0   \n",
+       "4                 7360  ...        2.317714    Tuesday           1.0   \n",
+       "..                 ...  ...             ...        ...           ...   \n",
+       "362                236  ...        8.779972    Tuesday           1.0   \n",
+       "363               2075  ...        7.698787  Wednesday           2.0   \n",
+       "364               2249  ...       10.190484   Thursday           3.0   \n",
+       "365               2112  ...        9.190077     Friday           4.0   \n",
+       "366               1604  ...        4.399307   Saturday           5.0   \n",
+       "\n",
+       "     Work_or_Weekend  Hours Sleep Sleep efficiency  Yesterday_sleep  \\\n",
+       "0                  1     6.400000        92.086331         0.000000   \n",
+       "1                  0     7.566667        92.464358         6.400000   \n",
+       "2                  0     6.450000        88.761468         7.566667   \n",
+       "3                  1     5.183333        88.857143         6.450000   \n",
+       "4                  1     6.783333        82.892057         5.183333   \n",
+       "..               ...          ...              ...              ...   \n",
+       "362                1     6.283333        91.951220         5.233333   \n",
+       "363                1     6.766667        95.081967         6.283333   \n",
+       "364                1     4.666667        88.888889         6.766667   \n",
+       "365                1     6.166667        89.805825         4.666667   \n",
+       "366                0     8.366667        89.165187         6.166667   \n",
+       "\n",
+       "     Yesterday_sleep_efficiency  Months  Months_encoded  \n",
+       "0                      0.000000     May               5  \n",
+       "1                     92.086331     May               5  \n",
+       "2                     92.464358     May               5  \n",
+       "3                     88.761468     May               5  \n",
+       "4                     88.857143     May               5  \n",
+       "..                          ...     ...             ...  \n",
+       "362                   90.229885     May               5  \n",
+       "363                   91.951220     May               5  \n",
+       "364                   95.081967     May               5  \n",
+       "365                   88.888889     May               5  \n",
+       "366                   89.805825     May               5  \n",
+       "\n",
+       "[367 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "fitbit = pd.read_csv('../data/Fitbit2.csv')\n",
+    "fitbit"
    ]
   },
   {
@@ -63,16 +472,101 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "# Matplotlib inline to visualize Matplotlib graphs\n",
+    "%matplotlib inline\n",
+    "%config Inlinebackend.figure_format= 'retina'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "# Configuration to set so that all the Seaborn figs come out with this size\n",
+    "sns.set_context(\"poster\")\n",
+    "sns.set(rc={\"figure.figsize\": (12.,4.)})\n",
+    "sns.set_style(\"whitegrid\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Months_encoded\n",
+       "1     10366.0\n",
+       "2      9235.0\n",
+       "3     11122.0\n",
+       "4     13846.5\n",
+       "5     11998.0\n",
+       "6     12935.5\n",
+       "7     10644.0\n",
+       "8     12213.0\n",
+       "9      9343.0\n",
+       "10     7865.0\n",
+       "11     9453.5\n",
+       "12     8531.0\n",
+       "Name: Steps, dtype: float64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataframe = fitbit.groupby(\"Months_encoded\")[\"Steps\"].median()\n",
+    "dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/Users/edwardrodger/Documents/BARCELONA_22-3/IRONHACK/Course/Week_2/lab-matplotlib-seaborn/your-code'"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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xH0pPP6dbbqlS5HiBgYEaOXK0fvrpsP75z0s91h955DFZLFYNHz5In3zysXbv3qlXXpmid95ZpypVbi32uQYHB+uJJ/rpvffe0cKF87Rz5w7NmfOqvvzyCydqzjkuTwT8+OOP8vPz08aNG9Ww4ZWzSefOndPs2bP11FNPqXr16rblhw4dUlxc3BX32717t26//XZFRETYlrVs2VLZ2dk6cOCAzp49q+PHj6tVq/81Nl9fXzVr1ky7du26XJEA4JZ4nBwAAO4tODhEt912uwoKCookAiQpPr6VTCaT3aP/qleP04IFSYqMjNTUqRM1ceKLslqluXMXF3lE4LWUL19e/fsP1s6dX9vmIyiO5577h3r3flIfffShRo16Wu+997YeeugRzZgxx6H5Bq6lSZNmDtWNJAUFBem115aqQYNGWrBgrp59dpg+++zfGjhwiN34/rFjx+uRR3pow4b1GjlyiFavXqG77+6o2bNfu+Kd/FatWqt9+7u1YkWSTp78ReXLV9CiRcsVG3uTEhOnacyYETpw4Ec999w/9PDDjzp0rj179tawYSP16afb9NxzI3X06JErDjm4EQzWPz740cWee+45/fbbb7Y5Av7olVde0fvvv69PPvnE7hFJTz31lFJTUxUZGamDBw8qJiZGvXr10l//+ldJ0sCBAxUYGGg37CAnJ0eNGjXSnDlzdMstt6hbt27avHmzXUJh+vTp+vzzz/XBBx84dS5ms0Xnzl249oYAUALy8vL0xBN/l9VqkdFo1IoV//SYx8lduJCtvn172F4vW/aGQkJCXRiR+6POAMC9FBTk6+zZU4qOriQ/v2t31QecdbW2FhUVIh+f4iVm3GqywCvJzs7WW2+9pSFDhhT5YXvkyBFZLBYNGzZMsbGx+uyzzzR27FgVFBTooYceUm5ubpHnZBaWkZeXp5ycHEkqMrYmICCgyASEjvL1dXmHCwBeIi/PbPc4OcnsMZ9Bf47T19foMbG7CnUGAO7FYjG4OgSHWSyW//5muDpfX+cuGa1Wq8xm8zW38/HxsQ2DQPH5+Biu67vfIxIB27ZtU35+vrp3715k3QcffCCz2WybE6BOnTr6/ffftWzZMj300EMKDAy0zQVQqPACPzg42PZYh8ttExQU5HTMRqNBkZEh194QAEqAn599565y5UIUGuoZn0GeHLurUGcA4F5yc3105ozxui/OStPSpUu0bNmSa2737rsf6KabbnK4/A8+2KjJk1+65navvbZETZs2c7h8b2WxGGQ0GhUREVzkEYWO8JhEQLt27Yrc2ZeKPp9RkmrVqqWNGzdKujTD5OHDh+3Wp6WlSZJiYmJUqVIl27I/Dg1IS0tTTEyM0zFbLFZlZV10en8AcMSFC/ZDkTIyLqigwDOy654cu6tQZwDgXvLz82SxWGQ2W2UyXfsuuzt44IGuatWq9TW3i4yMduqcWrVqraSk1dfcrkqVWz2mztyB2WyVxWJRZuZF5eTY97gIDw8qW0MDdu/eraFDhxZZnpWVpQ4dOui5555Tt27dbMu///571axZU5LUvHlzbdiwQdnZ2QoNvTR+cseOHQoJCVGdOnXk7++vatWqKTk52TZhoMlk0u7du/Xoo45N+PBnNGgApeXPnzcmk8VjPoM8OXZXoc4AwL2YzW4z7VqxlS9fQeXLV7hh5UdElLN7BCBK1vUmndy+38qpU6eUnp6uOnXqFFkXHh6uli1batasWfrss890/PhxLVmyRBs3brQlDjp06KAKFSpo+PDhOnjwoLZt26aZM2eqT58+tnkB+vTpoxUrVui9997TTz/9pOeff165ubl66KGHSvVcAQAAAAC40dy+R8Dp06clSeXKlbvs+qlTp2revHkaP368zp49q7i4OM2dO1dt2rSRdGnSv6SkJE2YMEEPP/ywIiIi9Oijj2rQoEG2Mh5++GGdP39es2fPVkZGhurVq6cVK1YoKirqhp8fAAAAAAClya0SAS+//HKRZQ0aNNChQ4euuE9oaKjGjh2rsWPHXnGbW2+9VcuXL7/qsfv27au+ffsWP1gAAAAAADyQ2w8NAAAAAAAAJYdEAAAAAAAAXsSthgYAAAAAAFzPaDTIaCz9R9NaLFZZLJ73FAZPQyIAAAAAAGBjNBoUGRniskRAevoFh5MBFotFK1Ys1fvvb1B29nk1atREI0eO0U033XyDIvVsJAIAAAAAADaFvQGSj2bpfI651I4bFuSjFnHhMhoNDicCVq5M0nvvva3nn39JFSpU1MKFczVy5FC9/vqb8vPzu0ERey4SAQAAAACAIs7nmJVx0eTqMK6poKBA69at0VNPDdUdd7SWJE2YME0PPthZ//nPJ7rnns4ujtD9MFkgAAAAAMBjHTlySBcvXlDTps1ty8LCwlSrVh3t3fudCyNzXyQCAAAAAAAe6/TpNElSTEyM3fLy5SsoLS3VFSG5PRIBAAAAAACPlZubK0ny8/O3W+7v76+8vHxXhOT2SAQAAAAAADxWQECAJKmgwP6iPz8/X0FBga4Iye2RCAAAAAAAeKyKFS8NCThz5ozd8jNnTqt8+YquCMntkQgAAAAAAHisGjVqKSQkRN99t9u27Pz58zp8+KAaNWrswsjcF48PBAAAAAB4LH9/f3Xr9rAWLpyncuUiFRt7kxYsmKOKFWPUvv3drg7PLZEIAAAAAAAUERbk4zHH69dvoMxms15+ebLy8vLUqFFjzZw5X76+XPJeDrUCAAAAALCxWKyyWKxqERfusmM7ysfHR4MGDdOgQcNuQFRlD4kAAAAAAICNxWJVevoFGY0GlxzbmUQAHEMiAAAAAABghwvyso2nBgAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EV8XR0AAAAAAMC9GI0GGY2GUj+uxWKVxWK9rjJef32FkpO/1vz5S0ooqrKHRAAAAACuaNWqJG3dulmdOt2nXr36uTocAKXAaDQoKjJYBmPpdyC3Wiw6l37R6WTAu+++raVLF6pBg0YlG1gZQyIAAAAAl5WXl6ctWzbLarVo69bNeuSRngoICHB1WABuMKPRIIPRqAt7t8pyIb30jhsSqZCGnWQ0GhxOBJw5c1rTp0/Vd9/t1i23VLlBEZYdJAIAAABwWSZTgaxWiyTJYrHIZCogEQB4EcuFdJmzTrs6jGI5ePCA/Px8tXLlP7VyZZJOnfrd1SG5NbeaLHDx4sXq2bOn3bJx48apdu3adn8JCQm29RaLRXPnzlWbNm3UqFEjPfnkkzp58qRdGQcOHFCPHj3UqFEjJSQkaPXq1Xbri1MGAAAAAMA9tW7dVlOmzNDNN1d2dSgewW0SAWvWrNHs2bOLLD906JAGDhyo7du32/7eeecd2/oFCxZo7dq1mjRpktatWyeLxaJ+/fopPz9fkpSenq7evXurSpUqWr9+vQYPHqzExEStX7++2GUAAAAAAFBWuDwRkJqaqoEDByoxMVFVq1a1W2e1WvXTTz+pXr16qlChgu0vKipKkpSfn6/ly5dr2LBhat++verUqaNZs2YpJSVFH330kSTprbfekp+fnyZOnKi4uDh1795dTzzxhJYsWVLsMgAAAAAAKCtcngj48ccf5efnp40bN6phw4Z263755RddvHhR1atXv+y+Bw8e1IULF9SqVSvbsvDwcNWtW1e7du2SJO3evVvx8fHy9f3fdAgtW7bU8ePHdebMmWKVAQClyWg0yNfX6PDfHzmzv6+v0SWPCQIAAEDpcvlkgQkJCXZj/v/o8OHDkqTXX39dn3/+uYxGo9q2basRI0YoLCxMKSkpkqRKlSrZ7VexYkXbupSUFNWqVavIekk6depUscoAgNLi7ON6/PzsZ9YtVy5EoaEhDh//eh/ZAwAAAPfn8kTA1Rw+fFhGo1EVK1bUokWL9Msvv2j69Ok6cuSIVq1apZycHEmSv7+/3X4BAQHKzMyUJOXm5l52vXTpkTjFKcNZf75DBwDX4uNjdOpxPdk5eXavzyevlzXIsZm9Cx/Z4+fnI7PZ4tC+kmQwGJzqUWAy2X8VBQT4KiDAsa8ni8Uqq9V7khdX6gEClDTaGlA8Fgs96lC6fHwM1/V57NaJgKeeekqPPvqoIiMjJUm1atVShQoV9PDDD+v7779XYGCgpEvj/Av/LV26wA8KCpIkBQYGFpn0Ly/v0g/m4ODgYpXhDKPRoMhIx+/GAYDk+ON6LLn2n3OW82dkLvC/wtZXFx7u3Gef1WqVweD4DyGj0Wz3OiwsSKGhjsXg7LE9VUn1AAGuhbYGFE9uro/OnDFe98WZu/DxuXQOxpDIUj1u4fEKj+8sg8Egg6FsvBd/ZrEYZDQaFRERbHf96ii3TgQYjUZbEqBQzZo1JV3q8l/YnT8tLU1VqlSxbZOWlqbatWtLkmJjY5WWlmZXRuHrmJgYmUyma5bhDIvFqqysi07vD3i7FSuW6sMPN+nee+9X795PujqcUuPjY3T6QrykZGXlONwjoDDu5KNZOp9jvvYOf5B78YLd6//sz1BgcEGx9w8L8lGLuHCn4vZUFy7Y11lGxgUVFHhPIgSlh7YGFE9+fp4sFovMZqtMJs//LrJYrLJaLApp2KnUj221WFRQYL6uYYrPPz9eksrEe/FnZrNVFotFmZkXlfOn31zh4UHFTqK4dSJg9OjRSktL08qVK23Lvv/+e0lSjRo1dMsttyg0NFTJycm2i/isrCzt379fPXr0kCQ1b95c69atk9lslo+PjyRpx44dqlatmqKjoxUWFnbNMpxVFhseUBry8vK0efMmWa0WffjhJj38cA/bkB7ceGazxenPr/M5ZmVcNDm0T16O/faZOSblyrEypOuL29P8+TxNJu85d5Qu2hpQPGZz2RqeZrFYdS79oksmEbZYrMxVVAzXm3Ry60RAp06dNGjQIM2fP19/+ctfdOzYMU2cOFFdunRRXFycJKlHjx5KTExUVFSUbr75Zs2YMUOxsbHq2LGjJKl79+5KSkrSCy+8oH79+mnfvn1auXKlJkyYIOnS3ADXKgNA6TKZCmS1Xvpgs1gsMpkKSAQAAACUIi7Iyza3TgTcfffdmj17tpYsWaKlS5cqLCxMDzzwgIYPH27bZtiwYTKZTBo3bpxyc3PVvHlzLVu2TH5+fpKk6OhoJSUlacqUKeratasqVKig0aNHq2vXrsUuAwAAAACAssKtEgEvv/xykWX33nuv7r333ivu4+Pjo1GjRmnUqFFX3KZBgwZ68803r6sMAAAAAADKgrI3jSIAAAAAALgiEgEAAMAhq1Yl6dFHu2nVqiRXhwIAbsVqZUw9bqySamMkAgAAQLHl5eVpy5bNslgs2rp1s/Ly8lwdEgC4XOHTyfLz+UzEjVXYxnx8rm+Uv1vNEQAAANwbT/UAgKKMRh8FBYUqOztdkuTvHyCDofQfvYeyy2q1Kj8/T9nZ6QoKCpXReH339EkEAAAAAMB1Cg+PkiRbMgC4EYKCQm1t7XqQCAAAAACA62QwGBQREa2wsEiZzSZXh4MyyMfH97p7AhQiEQAAAAAAJcRoNMpo9Hd1GMBVMVkgAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAvMKqVUl69NFuWrUqydWhAAAAAIBLkQhAmZeXl6ctWzbLYrFo69bNysvLc3VIAAAAAOAyJAI8EHe3HWMyFchqtUiSLBaLTKYCF0cEAAAAAK5DIsDDcHcbAAAAAHA9SAR4GO5uAwAAAACuB4kAAAAAAAC8CIkAAAAAAAC8CIkAAAAAuCUmSAaAG4NEAAAAANwOEyQDwI1DIgAAAABuhwmSAeDGcbtEwOLFi9WzZ0+7Zf/+97/VvXt3NW7cWAkJCXrllVeUm5trW//NN9+odu3aRf6Sk5Nt23z99dfq1q2bGjZsqM6dO2vTpk12x8jLy9OECRPUqlUrNW7cWM8884zOnTt3Y08WAAAAAIBS5uvqAP5ozZo1mj17tpo1a2Zbtnv3bg0ZMkTDhg1T586ddeLECb344ovKyMjQtGnTJEmHDh1SlSpVtHbtWrvyIiIiJElHjx7VgAED1Lt3b82YMUP/+c9/NHr0aEVFRalVq1aSpJdeekm7d+/WvHnz5O/vr/Hjx2vYsGF64403SunsAQDeyGg0yGg0OLSPr6+xyOs/LysOi8Uqi8Xq8H4AAMCzuUUiIDU1VePHj1dycrKqVq1qt27dunVq0aKFBg4cKEmqWrWqRowYoXHjxmnChAny9/fX4cOHVaNGDVWoUOGy5a9atUq1a9fWiBEjJElxcXHav3+/kpKS1KpVK6WmpmrDhg1atGiRLQkxc+ZMde7cWd99950aN258404eAOC1jEaDIiNDHE4E+PnZX7yXKxei0NAQh49vsViVnn6BZAAAAF7GLRIBP/74o/z8/LRx40a99tpr+u2332zr+vTpI6PR/i6H0WhUQUGBsrOzFRUVpUOHDqlp06ZXLH/37t3q0KGD3bKWLVtqypQpslqt+uabb2zLClWrVk0xMTHatWsXiQAAwA1R2Bsg+WiWzueYi71f7sULdq//sz9DgcGOjZ8OC/JRi7hwGY0GEgEAAHgZt0gEJCQkKCEh4bLr6tata/e6oKBAK1euVL169RQVFSVJOnLkiCIjI9WtWzelpqaqVq1aGjFihBo0aCBJSklJUWxsrF05FStWVE5OjtLT05WamqrIyEgFBAQU2SYlJaWkThMAgMs6n2NWxkVTsbfPy7HfNjPHpFwVf38AAODd3CIRUFwmk0mjR4/WkSNHtGbNGknSqVOndP78eV28eFHjxo2Tj4+P3njjDfXo0UPvvvuuatSoodzcXPn7+9uVVfg6Pz9fOTk5RdZLUkBAwHU9qsaZ8ZqOlunsuFBvQp15Hm9+z3x8XH+ezsTgqXG7mjvE7Ofn41AcJpP9T4eAAF8FBDj+c8JiscpqpSdCaTIYHJ+PwpXvtzd/FwDAjeYxiYDs7GwNHz5cO3fu1Pz58213+ytVqqRdu3YpKChIfn5+kqT69etr//79ev311zVhwgQFBAQoPz/frrzC10FBQQoMDCyyXrr0JIGgoCCn4i0c91nSSmpcqDehzjwP75lrhYc797nnap4at6sE+BlktVoUGhro0H5Go/0QhrCwIIWGOl73VqtFBgMXdaXJarXKYHAsEVBy77fjx+a7AABuHI9IBKSlpenJJ5/Ub7/9pmXLlql58+Z268PDw+1eG41GxcXFKTU1VdKlZEFaWlqRMoODgxUWFqbY2FhlZGQoPz/frmdAWlqaYmJinIrZYrEqK+uiU/tezYUL9uNCMzIuqKDAsS9Wb0OdeR5vfs98fIwuv6DNysqR2WxxaB9PjdvVXFlv/j5GGQxGXdi7VZYL6cXeLzvHvqfc+eT1sgYFXGHryzOGRCqkYSeXvGcrVizVhx9u0r333q/evZ8s1WO7UmFbc+V8FI6+3978XQDgxiqr3wXh4UHF7uXn9omAzMxM9erVS9nZ2VqzZo1q165tt/7zzz/X008/rY0bN+qWW26RdGkIwcGDB9WxY0dJUrNmzbRz5067/Xbs2KEmTZrIaDSqadOmslgs+uabb2yPEzx27JhSU1OLJB0cYTKV/I+bP5dpMlluyHHKEurM8/CeuZbZ7Jn17alxu5rlQrrMWaeLv32ufQ86y/kzMhcUHV5XHKX9nuXl5Wnz5k2yWi368MNNevjhHkXmByrrXDkfhaPvN98FAG4Evgsucfs+edOmTdPJkyc1Y8YMRUVF6fTp07Y/s9msJk2aKDIyUmPGjNEPP/ygQ4cOacyYMcrIyNATTzwhSerZs6f27dunxMREHT16VMuXL9eWLVvUr18/SVJMTIzuv/9+jRs3TsnJydq3b59Gjhyp+Ph4NWrUyHUnDwDF5OtjVOHQX6PBIF83GHsOuBuTqUBW66ULSYvFIpPJsTvbAADPx3fBJW7dI8BsNmvz5s0qKChQr169iqz/5JNPVLlyZa1cuVKJiYnq27ev8vLy1LRpU73xxhsqX768JKlmzZpasGCBZsyYoVWrVqly5cqaMWOG7e6/JE2aNElTp07VkCFDJElt27bVuHHjSudEgTKq8NFojiqJCaIsFqtXPRItwM9X9zaprg+/PaZ7m1RTgJ9bf7wDAADAhdzul+LLL79s+7ePj4/27dt3zX2qVKmiuXPnXnWbtm3bqm3btldcHxwcrMmTJ2vy5MnFDxbAFRmNBkVFBstgdPzOdElMEGW1WHQu/aJXJQP6JDRQn4QGrg4DAAB4iVWrkrR162Z16nSfevXq5+pw4AC3SwQAKBuMRoMMRscnIpOufzKywonIjEaDVyUCAACA93HVxXheXp62bNksq9WirVs365FHenrlWHtPRSIAwA3l6ERkUslORgYAAFBWufJi/HJj7UkEeA5mkwIAAADKkFWrkvToo920alWSq0PBDcbEd3AWiQAAAACgjCi8Q2yxXLpDnJeXd+2dAHgdEgEAAABAGcEdYgDFQSIAAAAAAAAvQiIADmHMGQAAAAB4NhIBKDbGnAEAAOBG4YYTUHpIBKDYGHMGoCzihydKC20NuDJuOAGli0QAAMBr8cMTpYW2BlwdN5yA0kUiAADgtfjhidJCWwMAuBMSAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBFfVwcAAPBuRh9fGQwGWa1WGYxGGX34agLKIh8fx+4/+foai7z+87LisFisslisDu8HAGUZv7YAAC7l5x+geq0664cdW1WvZSf5+Qe4OiQAJSjAzyCr1aLw8CCH9vPzs794L1cuRKGhIQ4f32qx6Fz6RZIBAPAHJAIAAC7X+oFeav1AL1eHAeAG8PcxymAw6sLerbJcSC/2ftk59o9YPJ+8XtYgxxKFxpBIhTTsJKPRQCIAAP6ARAAAAABuOMuFdJmzThd/+9x8+9fnz8hc4F/SYQGAV2KyQAAAAAAAvAg9AuBRjEaDjEaDQ/sw2RAAAAAA/A+JAHgMo9GgyMgQhxMBJTXZkMViVXr6BZIBAAAAADya04mAnTt3yt/fX40aNdLvv/+uiRMn6rffflPnzp01ePDgkowRkPS/3gDJR7N0Psdc7P1yL16we/2f/RkKDC5w6NhhQT5qERfOZEMAAAAAPJ5TiYANGzZo7Nix6tOnjxo1aqQXX3xR33zzje68804tWrRIfn5+6t+/f0nHCkiSzueYlXHRVOzt83Lst83MMSlXxd8fAAAAAMoSpyYLXLlypbp27apRo0bp9OnT+uqrrzRkyBDNnz9fI0aM0Pr160s6TgAAAAAAUAKcSgT8/PPPevDBByVJn332maxWq+6++25JUv369XXq1KkSCxAAAAAAAJQcpxIB4eHhys7OliR98cUXuummm1S1alVJ0i+//KLIyMgSCxAAPMmqVUl69NFuWrUqydWhAAAAAJflVCKgRYsWmj9/vpYsWaJPPvlE9913nyRp69atmjNnju68884SDRIAPEFeXp62bNksi8WirVs3Ky8vz9UhAQBchMQwAHfmVCLghRdeUGRkpObPn69WrVppwIABkqRp06bppptu0jPPPFOiQQKAJzCZCmS1WiRJFotFJpNjT6cAAJQNJIYBuDunEgFRUVFatmyZ9u3bp6VLlyo0NFSStHbtWq1bt07R0dFOBbN48WL17NnTbtmBAwfUo0cPNWrUSAkJCVq9erXdeovForlz56pNmzZq1KiRnnzySZ08ebLEywAAAACKg8QwAHfnVCKg0Pbt2zVr1iyNHz9ec+fO1e+//+50WWvWrNHs2bPtlqWnp6t3796qUqWK1q9fr8GDBysxMdHuqQQLFizQ2rVrNWnSJK1bt04Wi0X9+vVTfn5+iZUBAAAAAEBZ4evMTpmZmRowYID27NkjX19flStXThkZGVq4cKHatm2refPmyd/fv1hlpaamavz48UpOTrZNOFjorbfekp+fnyZOnChfX1/FxcXpxIkTWrJkibp37678/HwtX75czz77rNq3by9JmjVrltq0aaOPPvpIXbp0KZEyAADAJb4+RhkNksUqGQ0G+fpc1z0FAADgAk59e0+dOlXHjh3T/Pnz9f3332v79u3at2+f5syZoz179mjWrFnFLuvHH3+Un5+fNm7cqIYNG9qt2717t+Lj4+Xr+798RcuWLXX8+HGdOXNGBw8e1IULF9SqVSvb+vDwcNWtW1e7du0qsTIAAMAlAX6+urdJdRkNBt3bpJoC/Jy6pwAAAFzIqW/v//znP3r22WfVoUMH2zKj0aiOHTvq3Llzmj9/vsaMGVOsshISEpSQkHDZdSkpKapVq5bdsooVK0qSTp06pZSUFElSpUqVimxTuK4kyihrjEaDjEaDw/v5+hqLvP7zsmuxWKyyWKwOHxsA4D76JDRQn4QGrg4DAAA4yalEgNVqVfny5S+7rlKlSrp48eJ1BVUoNze3yBCDgIAASZdmY83JyZGky26TmZlZYmU4y9GLZGfKdPRi3GAwKCI8UAaj47H5+dlfwJcrF6LQ0BCHyrBaLMrMypXV6ngywMcNup+6Qwyewh3qqrRjKIlkmafWm6fGXRLv2fVwh3pzJU/8P+qJx5Zoa7Q193//PTVuV6OtOc5T4y5pTiUCunbtqoULFyo+Pl4hIf+7EDSZTHrjjTfUtWvXEgkuMDCwyIR9hY9fCQ4OVmBgoCQpPz/f9u/CbYKCgkqsDGcYjQZFRjp2kVwcJXExLkkX9m6V5UK6Q/tk59g/+uZ88npZgwKKvb8xJFIhDTupXLlgh47rTsLDnW8TKH2l/X6V1P9PV/PUdu5M3GXlPfNU3vR/lLbmWrQ1929rnhq3q9HWHOepcZc0pxIBQUFBOn78uO6++27dfffdiomJUXp6uj777DOlpKQoIiJCY8eOlXTpDvTUqVOdCi42NlZpaWl2ywpfx8TEyGQy2ZZVqVLFbpvatWuXWBnOsFisysoqmZ4Rf3ThwgW71xkZF1RQUPxu/j4+RoWHB8lyIV3mrNMOHduSa59QsZw/I3NB8SaF/KOsrByZzRaH9yuM3ZWcjd0beeP7db3/PyXPrTdPjbsk3rPr4Q715kqe+H/UE48t0dZoa6XX1pzlqXG7Gm3Nca6Oe8WKpfrww02699771bv3kyVadnh4ULF7QDmVCNi4caNCQ0MlSV9//bXdutjYWH377be21waD85XavHlzrVu3TmazWT4+PpKkHTt2qFq1aoqOjlZYWJhCQ0OVnJxsu4jPysrS/v371aNHjxIrw1kmU8l/4fy5TJPJckOOcyOZzZ4XcyFPjt0blfb7VRb+f0qe286dibusvGeeypv+j9LWXIu25v5tzVPjdjXamuNcGXdeXp42b94kq9WiDz/cpIcf7mEbtl7anEoE/Pvf/y7pOC6re/fuSkpK0gsvvKB+/fpp3759WrlypSZMmCDp0rj+Hj16KDExUVFRUbr55ps1Y8YMxcbGqmPHjiVWBgAAAADAvTgzCXpJzRHgzCToJlOBrFbLf/e3yGQq8KxEQCGLxaLDhw8rLS1NTZo0kclkUrly5UooNCk6OlpJSUmaMmWKunbtqgoVKmj06NF2cxAMGzZMJpNJ48aNU25urpo3b65ly5bJz8+vxMoAAAAAShNPeQKurnBONkf/n5TUHAEWi1Xp6Rc89v+K04mAf/3rX3r11VeVlpYmg8Ggd955R/PmzZOfn59effXVIrPwF8fLL79cZFmDBg305ptvXnEfHx8fjRo1SqNGjbriNiVRRklz1Ye7t88aDAAA4O6MRoOiIoNd+pSnc+kXPfYCxxOR+HFcYZ0lH83S+RxzsffLvWg/R8B/9mcoMLjAoWOHBfmoRVy4jEaDR9ad5GQiYPPmzRozZoz+8pe/6K677tKIESMkSffcc48mTJigBQsWaPjw4SUZZ5nibPZKYpZLAACAss5oNMhgNLr0KU+efIHjaVx9beDpd7bP55iVcdFU7O3zcuy3zcwxKVfF37+scCoRsGjRIj3yyCN66aWXZDb/L/vSvXt3nTt3Tm+99RaJgKtwNnslXX8GKybCT/VvCXXomLg+q1YlaevWzerU6T716tXP1eEAAFBsRh9fGQwGWa1WGYxGGX2ua1QpHOTKpzyh9Ljy2qAs3NmGc5z6ND927JjGjBlz2XUNGzbUvHnzrisob+Fo9kq6/gxWWKCPQ8fD9cnLy9OWLZtltVq0detmPfJIT5dNCAIAgKP8/ANUr1Vn/bBjq+q17CQ/f77DcG2eNoGbu3DFtUEhZ4YPe/OwhLLAqURAdHS0jh49qjvvvLPIuqNHjyo6Ovq6AwPKAneaGRQAAGe0fqCXWj/Qy9VhwEN46gRu3tqDM8DPIKvVovDwIIf3ZT4Kz+ZUIuC+++7T3LlzVbFiRbVr106SZDAY9MMPP2jBggXq0qVLiQYJwLv4+hhlNEgWq2Q0GOTLJJcA3AQTegFX54kTuHlzD05/H6MMBuaj8EZOJQKGDx+uw4cPa/jw4TL+dzbTnj176uLFi2rWrJmefvrpEg0SgHcJ8PPVvU2q68Nvj+neJtUU4MeYVACux0zuQPF50gRu9OBkPgpv5NSva39/fyUlJenLL7/Ujh07lJGRobCwMMXHx6tdu3YyGBzPlAPAH/VJaKA+CQ1cHQYA2DCTOwCgrHAqEbBhwwa1a9dOd955Z5F5Ak6fPq0NGzboySefLJEAAQAA3Al3zkoHw8QA4MZx6hN17NixOnny5GXXHThwQHPnzr2uoAAAAODdCoeJGQ0GhokBQAkr9idq//79dfToUUmS1WrV4MGD5e9fNJN99uxZValSpeQiBAAAgFdimBgA3BjFTgQMHDhQb7/9tqxWq3777TfVrVtXUVFRdtsYjUaFh4erW7duJR4oAAAAAAC4fsVOBDRp0kRNmjSRdOlRgYMGDdItt9wiScrMzNQvv/yiqlWrKiws7MZECgAAINc9ws+HMeoAgDLCocFW+/bt04IFC9S5c2dbEuCNN97QjBkzlJ+fr4CAAA0dOlR9+/a9IcECAADvZjQaFBkZ4lQioCQe4QcAQFlQ7ETAwYMH1bNnT5UrV87W9f/777/XlClTFBcXp+HDh+vnn3/WrFmzdOutt6pDhw43LGgAAOCdCnsDJB/N0vkcs0P75l68YPf6P/szFBhcUOz9YyL8VP+WUIeOCQCAOyp2ImDx4sWqU6eOVq5cqaCgIEnS6tWrJUmJiYmqU6eOJOnMmTN6/fXXSQQAAIAb5nyOWRkXTQ7tk5djv31mjkm5Kn4ZYYE+Dh0PAAB3VezBbrt27VLPnj1tSQBJ2r59u2655RZbEkCSWrdurf3795dslAAAAAAAoEQUu0dARkaGYmNjba+PHj2q9PT0Inf+g4KClJ+fX3IRAgBQDM5M5Ha9k8dJksVilcVivfaGAAAAbqLYiYBy5crp7Nmzttc7duyQwWBQq1at7LY7evRokccKAgBwowT4GWS1WhQeHnTtjf+kJCaPs1osOpd+kWQAAADwGMVOBMTHx+utt95Sx44dZTabtX79egUEBKhNmza2bfLz87VmzRrbYwYBeLZVq5K0detmdep0n3r16ufqcIDL8vcxymAw6sLerbJcSHdo3+ycPLvX55PXyxoUUOz9jSGRCmnYSUajgUQAAADwGMVOBDz11FP629/+pg4dOshqter333/X4MGDFRYWJklav3691qxZo2PHjmn69Ok3LGAApSMvL09btmyW1WrR1q2b9cgjPRUQUPwLJKC0WS6ky5x12rF9cu2HslnOn5G5wL8kwwIAAHA7xU4E1KxZU2+99ZaWL1+us2fP6sknn9Tf//532/rZs2fL19dXr732mm677bYbEiyA0mMyFchqtUiSLBaLTKYCr0oEFD6izBElMd7cmXHuAAAAgCOKnQiQpBo1amjq1KmXXffOO++oQoUKMhr5EYuyy9GLtJK4MJSYjKy0GY0GRUaGOJwIKInx5gAAAMCN5lAi4GpiYmJKqijA7Tg7GVlJXRgyGVnpKuwNkHw0S+dzzMXeL/fiBbvX/9mfocDgAoeOHRPhp/q3hDq0DwAAAOCIEksEAGWZs5ORXe9EZBKTkbnS+RyzMi6air19Xo79tpk5JuWq+PtLUligj0PbAwAAAI4iEQA4wNHJyJiIDAAAACibPHnYMIkAAAAAAACKqSwMGyYRgGLz9THKaJAsVsloMMiX2c0BAAAAeJmyMGyYRACKLcDPV/c2qa4Pvz2me5tUU4AfzQcAAJRdzjxKVrr+7r88ShbwDJ48bNjtr+SSk5P1+OOPX3Zd5cqV9cknn2jhwoWaPXt2kfWHDh2y/XvNmjVavny5Tp8+rXr16mncuHGqW7eubf2vv/6qSZMmadeuXQoODtZDDz2koUOHyseHibv+qE9CA/VJaODqMAAAAG4oZx8lK/E4WVfz5HHbQGlx+0RA48aNtX37drtle/bs0dChQzVo0CBJly74//rXv2rUqFGXLeO9997T9OnTNWnSJNWtW1dLlixR79699eGHHyoqKkoFBQXq27evqlatqnXr1umXX37RCy+8IKPRqGHDht3wcwQAAIB7cfZRstL1P06WR8k6pyyM2wZKi9snAvz9/VWhQgXb64sXL2ratGnq2rWrunfvLkk6fPiwHn74Ybvt/mjRokXq0aOH/vKXv0iSpk6dqg4dOujtt9/WgAEDtHXrVv3+++966623FBERoVq1auns2bOaPn26Bg4cKH9/ZnkHAADwRo4+Sla6/sfJ8ihZ55SFcdtAaXH7RMCfLVq0SDk5ORozZowkKT8/X8ePH1f16tUvu/3Zs2d1/PhxtWrVyrbM19dXzZo1065duzRgwADt3r1bt99+uyIiImzbtGzZUtnZ2Tpw4IAaNmx4Y08KAAAAKAFM7uzZ47aB0uJRnwznzp3TypUrNXDgQJUrV06S9NNPP8lsNmvr1q3q1KmT2rdvr1GjRiktLU2SlJKSIkmqVKmSXVkVK1a0rUtJSVFsbGyR9ZJ06tSpG3lKAAAAQIkpnNzZaDAwuTOAK/KoT4a1a9cqLCxMf/vb32zLDh8+LEkKCgrSnDlzdPbsWc2cOVOPP/64NmzYoJycHEkq0r0/ICBAeXmXugHl5uYqPDy8yHpJtm2ccaVJRrx9Jlhnz596K93zLwszHtPWnOPM+VNntDVn0NYcR1tzjre1tZKY3Jm25hxva2slobTbmtHHVwaDQVarVQajUUYfj7oktrneduNRZ71hwwY9+OCDCgwMtC178MEH1bZtW0VFRdmW1axZU23bttW///1vValSRdKlIQR/lJeXp6CgSxOJBAYGXna9JAUHBzsVa+FMsyjK0QlccElp11tZmPGYtuYc6s1xpV1nZeVHDG3NcdSZc6g3x1FnzqHeHFfqv3H9A1SvVWf9sGOr6rXsJD9/x+aDcBfXW28e88vh4MGDOnnypB544IEi6/6YBJAudesvV66cUlJS1KJFC0lSWlqa4uLibNukpaUpJiZGkhQbG2vrWfDH9ZJs2zjKYrEqK+viZdf5+Bi9+kMiKytHZrPF4f2crbey8oPZ2Xpz1oUL9jMeZ2RcUEFB8R+h5A7tvLTbWlnhTL1RZ6Xb1srKjxjamuP4XHMObc1xtDXn0NYc54q21vqBXmr9QC+n9nUXl6u38PCgYvcU8Jgrot27dys6Olp16tSxWz5r1ixt2bJFW7ZskcFw6SLl119/VXp6umrUqKHo6GhVq1ZNycnJtgkDTSaTdu/erUcffVSS1Lx5c23YsEHZ2dkKDb30qJYdO3YoJCSkyPEcYTKV3kWbJzGbLaVaN2XlB3Np19ufj2Uyle7xS0Jp11lZQb05zhV1VhZ+xNDWHEedOYd6cxx15hzqzXHUmXOut948ZkDK/v37Vbt27SLL77nnHv3222966aWXdOzYMe3atUtDhw5VkyZN1KZNG0lSnz59tGLFCr333nv66aef9Pzzzys3N1cPPfSQJKlDhw6qUKGChg8froMHD2rbtm2aOXOm+vTpw6MDy4jWD/TSwClrPf5HMwAAAABcL4/pEXD69GnbkwL+qF69elq6dKnmzJmjbt26yd/fX3fffbfGjBlj6yHw8MMP6/z585o9e7YyMjJUr149rVixwjakICAgQElJSZowYYIefvhhRURE6NFHH9WgQYNK8xQBAAAAALjhPCYRsHTp0iuua9Wqla3b/5X07dtXffv2veL6W2+9VcuXL3c6PgAAAADOKStzOgGewmOGBgAAAHgqXx+jjP+db9VoMMjXyx8XBvxZ4ZxOBqPRo+d0AjwFqTYAAIAbLMDPV/c2qa4Pvz2me5tUU4AfP8GAPysLk6ACnoJvIQAAgFLQJ6GB+iQ0cHUYAAAwNAAAAAAAPFHh3AqSSn1uBYY8eTbeLQAAAADwQK6cW6FwyJPRYGDIkwfi3QIAAAAAD+XKuRUY8uS56BEAAAAAAIAXIREAAAAAAIAXIREA3EBMogIAAADA3XBVAtxATKICAAAAwN1wVQLcYEyiAgAAAMCd0CMAAAAAAAAvQiIAAAAAAAAvQiIAAAAAAIAbzJ0mEicRAAAAAMBrudPFGco2d5pInMkCAQAAAHitwouzD7895vKLM5R97jKROK0cAAAAgFdzl4szoLTQ7wUAAAAAAC9CIgAAAAAAAC9CIsDDGH18ZTBcms3EYDTK6MPoDgAAAABA8ZEI8DB+/gGq16qzDEaj6rXsJD//AFeHBOC/SNR5HmaKBgAA3ohfPB6o9QO9NHDKWrV+oJerQwHwByTqPI87PcYHAACgtPCLBwBKUOsHepGk8zDMFA0AALwNPQIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiHpEISE1NVe3atYv8vfvuu5KkAwcOqEePHmrUqJESEhK0evVqu/0tFovmzp2rNm3aqFGjRnryySd18uRJu22uVQYAAAAAAGWBRzw+8ODBgwoICNC2bdtkMBhsy8PCwpSenq7evXsrISFBEyZM0J49ezRhwgSFhISoe/fukqQFCxZo7dq1evnllxUbG6sZM2aoX79+ev/99+Xv71+sMgAAAAAAKAs8IhFw+PBhVa1aVRUrViyybtWqVfLz89PEiRPl6+uruLg4nThxQkuWLFH37t2Vn5+v5cuX69lnn1X79u0lSbNmzVKbNm300UcfqUuXLnrrrbeuWgYAAAAAAGWFRwwNOHTokOLi4i67bvfu3YqPj5ev7/9yGi1bttTx48d15swZHTx4UBcuXFCrVq1s68PDw1W3bl3t2rWrWGUAAADPZ/TxtfUsNBiNMvp4xP0QAABKnEckAg4fPqxz587pscce0x133KG///3v+vzzzyVJKSkpio2Ntdu+sOfAqVOnlJKSIkmqVKlSkW0K112rDAAA4Pn8/ANUr1VnGYxG1WvZSX7+Aa4OCQAAl3D7VLjJZNLPP/+sGjVq6LnnnlNoaKg2bdqk/v37a8WKFcrNzZW/v7/dPgEBl77Y8/LylJOTI0mX3SYzM1OSrlmGs3x9L59n8fHxiPzLDePs+VNvpXv+f26/vr7GK7bpy3GH94u25hxnzp86o605wxVtrfUDvdT6gV7XVYYr0dacU9ptrbD3idVq9djeJ7Q15/Ad6jjamnOu9/zd/lPJ19dXycnJ8vHxUWBgoCSpXr16OnLkiJYtW6bAwEDl5+fb7VN48R4cHGzbJz8/3/bvwm2CgoIk6ZplOMNoNCgyMsSpfcu68PAgV4fgkUq73vz8rHavy5ULUWioZ7Vp2ppzqDfHUWfOod4cR505p9S/Q//b++SHHVs9tvcJbc051JvjqDPnXG+9uX0iQJJCQopefNSsWVPbt29XbGys0tLS7NYVvo6JiZHJZLItq1Klit02tWvXlqRrluEMi8WqrKyLl13n42P06gaflZUjs9ni8H7Um+P1ZjAYFB4eJKPRcO2NyyDamnOcqTfqjLbmDNqa42hrznFFW/P03ie0NefwueY42ppzLldv4eFBxe4p4PaJgCNHjuhvf/ubFi5cqBYtWtiW//DDD6pRo4Zuu+02rVu3TmazWT4+PpKkHTt2qFq1aoqOjlZYWJhCQ0OVnJxsSwRkZWVp//796tGjhySpefPmVy3DWSaT4w3aG5jNFurGCc7Um6+vUUajQclHs3Q+x+zQvrkXL9i9/s/+DAUGFxR7/5gIP9W/JdShY5Y02ppzqDfHUWfOod4cR505h3pzHHXmHOrNcdSZc6633tw+ERAXF6fq1atr4sSJmjBhgiIjI/XWW29pz549Wr9+vaKjo5WUlKQXXnhB/fr10759+7Ry5UpNmDBB0qW5AXr06KHExERFRUXp5ptv1owZMxQbG6uOHTtKkrp3737VMgBPdz7HrIyLJof2ycux3z4zx6RcFb+MsEAfh44HAAAAoHS4fSLAaDRq0aJFevXVVzV8+HBlZWWpbt26WrFihWrVqiVJSkpK0pQpU9S1a1dVqFBBo0ePVteuXW1lDBs2TCaTSePGjVNubq6aN2+uZcuWyc/PT5JsyYSrlQEAAAAAQFng9okASSpfvrymTZt2xfUNGjTQm2++ecX1Pj4+GjVqlEaNGuV0GQAAAAAAlAXe/cwFAAAAAAC8DIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8CIkAAAAAAAC8iEckAjIyMvTiiy+qbdu2atKkif7+979r9+7dtvW9e/dW7dq17f569uxpW5+Xl6cJEyaoVatWaty4sZ555hmdO3fO7hhff/21unXrpoYNG6pz587atGlTqZ0fAAAAAAClxdfVARTHyJEjdfr0ac2cOVPR0dF6/fXX1bdvX7333nuqXr26Dh06pJdeekkdOnSw7ePn52f790svvaTdu3dr3rx58vf31/jx4zVs2DC98cYbkqSjR49qwIAB6t27t2bMmKH//Oc/Gj16tKKiotSqVatSP18AAAAAAG4Ut08EnDhxQl9++aXWrl2rpk2bSpL+8Y9/6IsvvtD777+vHj166OzZs2rYsKEqVKhQZP/U1FRt2LBBixYtUrNmzSRJM2fOVOfOnfXdd9+pcePGWrVqlWrXrq0RI0ZIkuLi4rR//34lJSWRCAAAAAAAlCluPzQgMjJSS5YsUf369W3LDAaDDAaDsrKydOjQIRkMBlWrVu2y+3/zzTeSpJYtW9qWVatWTTExMdq1a5ckaffu3UUu+Fu2bKlvvvlGVqu1pE8JAAAAAACXcftEQHh4uNq1ayd/f3/bsq1bt+rEiRNq06aNDh8+rLCwME2cOFFt27ZV586dNXv2bOXn50u61CMgMjJSAQEBduVWrFhRKSkpkqSUlBTFxsYWWZ+Tk6P09PQbfIYAAAAAAJQetx8a8Gfffvutxo4dq44dO6p9+/Z6/vnnlZeXpwYNGqh37946cOCApk+frt9//13Tp09XTk6OXRKhUEBAgPLy8iRJubm5RbYpfF2YUHCGr+/l8yw+Pm6ff7mhnD1/6s3x86fOaGvOoK05jrbmHNqa42hrzqGtOY625hzamuNoa8653vP3qETAtm3b9Oyzz6pJkyZKTEyUJE2cOFFjxoxRRESEJKlWrVry8/PTiBEjNHr0aAUGBl72Yj4vL09BQUGSLiUF/rxN4evCbRxlNBoUGRni1L5lXXi4c3Xq7ag3x1FnzqHeHEedOYd6cxx15hzqzXHUmXO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+qv379+vOO+90dXgeoXnz5vrmm29kNptty3bs2KFq1aoxzwJKVGZmpnr16qVz585pzZo1at68uatDcghDA4ArOHbsmKZOnap77rlHAwYMsJtpNjAwUGFhYS6Mzn3VqlVLbdu21eTJkzV58mRFRERo8eLFysrK0hNPPOHq8NzSle5QREdHc/fiKuLi4lS9enVNnDhREyZMUGRkpN566y3t2bOH50VfQWBgoPr166fXXntNMTExatCggTZt2qQvv/xSK1eudHV4bm///v2qXbu2q8PwCA0aNFDTpk01ZswYjR8/XrGxsdqwYYO+/vpr/fOf/3R1eG4rNDRUVqtVU6ZM0Ysvvqjc3Fw9//zzatmyJUN3iql79+5KSkrSCy+8oH79+mnfvn1auXKlxzzbHZ5j2rRpOnnypJKSkhQVFaXTp0/b1kVFRcnHx8eF0V0biQDgCrZu3aqCggJ9/PHH+vjjj+3Wde3alUe8XcXMmTP16quvasSIETp//ryaNWumNWvW6KabbnJ1aChDjEajFi1apFdffVXDhw9XVlaW6tatqxUrVhTp+o7/GTRokIKCgjRr1iylpqYqLi5O8+bNU4sWLVwdmts7ffo0TwooJqPRqIULF2r27NkaO3asMjMzVatWLa1cuZJHGF/DzJkzNWnSJP3973+Xv7+/OnbsqFGjRrk6LI8RHR2tpKQkTZkyRV27dlWFChU0evRo27woQEkwm83avHmzCgoK1KtXryLrP/nkE1WuXNkFkRWfwWq1Wl0dBAAAAAAAKB3MEQAAAAAAgBchEQAAAAAAgBchEQAAAAAAgBchEQAAAAAAgBchEQAAAAAAgBchEQAAAAAAgBchEQAAAAAAgBchEQAAAK7IarW6OgQAAFDCSAQAAOCmevbsqdq1a+uRRx654jYjRoxQ7dq19dxzz5XosVNSUtS/f3/99ttvtmUJCQklfhxP9txzzykhIaFEyqpdu7bmzZtXImUBAHAtJAIAAHBjRqNRe/bsUUpKSpF1Fy9e1KeffnpDjvvVV1/ps88+uyFlAwAA1yIRAACAG6tbt64CAgK0ZcuWIus+/fRTBQUFKSYmxgWRAQAAT0UiAAAANxYcHKx27dpdNhGwefNmderUSb6+vrZleXl5eu2119S5c2fVr19fHTt21JIlS2SxWGzb9OzZUy+88IKWLFmi9u3bq379+nrkkUe0b98+SdK7776rsWPHSpLuvvtuu+EABQUFmj59uu688041atRIffr00YkTJ2zrz507p2eeeUZ33nmn6tevr7/+9a/asGGDw+edl5en6dOnq127dqpXr54eeOABbd682W6bhIQEzZ07V6+88oruuOMONWjQQH379tXx48fttvvss8/0yCOPqFGjRmrdurVefPFFZWVl2dYfP35cw4YNs51Tz5499c0339iVkZmZqbFjxyo+Pl7NmzfXjBkz7Oq00LZt29StWzfVr19fd955pyZPnqyLFy/abbNz50797W9/U8OGDdWpUyd99dVXDtcPAADXg0QAAABu7r777isyPCA7O1uff/65unTpYltmtVo1cOBAJSUl6f/+7/+0aNEide7cWbNnz9b48ePtyty6das++eQTjRs3TjNnztSZM2c0dOhQmc1mtW/fXk899ZQkaf78+Ro0aJBtv82bN+vIkSN6+eWXNX78eP3www8aMWKEbf2oUaN09OhRTZgwQUuXLlXdunU1ZswY7dixo9jna7VaNXjwYK1bt069e/fWwoUL1bhxY40YMaJIUmH16tX6+eefNW3aNE2ePFk//PCDxowZY1v/6aefasCAAYqOjtbs2bP17LPPatu2bbaYf/rpJ3Xr1k2//vqrxo0bp8TERBkMBvXq1Us7d+6UJFksFvXr10+fffaZxowZo5dfflnffvttkcTE+++/r8GDB6t69ep67bXXNGTIEG3cuFGDBg2yTbr4448/qk+fPgoLC9PcuXP1+OOPa+TIkcWuGwAASoLvtTcBAACu1L59ewUFBWnLli164oknJEkff/yxoqOj1bRpU9t2n3/+ub766ivNnDlT999/vyTpzjvvVGBgoObMmaPHH39cNWvWlCSZTCYtW7ZMoaGhkqQLFy5ozJgxOnDggOrVq6cqVapIkm677TZVrlzZdoyYmBgtWLBAfn5+kqQTJ05o4cKFys7OVmhoqHbu3KnBgwerQ4cOkqT4+HiVK1dO/v7+xT7fr776Sl988YVmzZql++67T5LUpk0b5eTkKDExUV26dLH1gggPD9eCBQvk4+MjSfrll180b948paenKzIyUvPmzdNtt92m+fPny2AwSJL8/f01Z84cnTlzRvPnz5e/v79Wr15tq4v27durS5cumj59ut555x19/vnn2rdvn5YuXaq2bdtKklq1amU3UaDValViYqLatGmjxMRE2/KqVavqiSee0Geffab27dtr8eLFio6O1sKFC211GBkZaZdMAQDgRqNHAAAAbi4wMFAJCQl2wwM2bdqke++913ZxK13qcu7r66vOnTvb7f+Xv/zFtr5QjRo1bBe+kmzzDOTk5Fw1lgYNGtguYCXZkgSFXe1btGihefPmadiwYXr77bd15swZjRkzRk2aNCn2+X799dcyGAxq166dTCaT7S8hIUGnT5/WkSNHbNvWr1/flgSQpNjYWNt55Obmav/+/erQoYNdPd13333aunWrypcvr507d+quu+6yqwtfX1/df//9+uGHH3ThwgXt3r1bfn5+atOmjW2bwiEbhX7++WelpKQoISHBLubmzZsrNDRUX375pSTpm2++UZs2bezqsGPHjnbnAADAjUaPAAAAPMC9996rIUOGKCUlRQEBAfr66681fPhwu20yMzMVGRlZ5KKyQoUKkqTz58/blgUFBdltYzReujdwuXHvfxQcHHzV/WbNmqVFixbpww8/1NatW2U0GnXHHXdo4sSJuvnmm4t1rhkZGbJarVdMHqSlpem222675nlkZmbKarUqOjr6isfKzMxU+fLliywvX768rFarsrOzlZmZqXLlytklE6T/1WthzJI0YcIETZgw4bIxFx4vMjLSbp2vr2+RZQAA3EgkAgAA8ABt27ZVSEiItmzZouDgYFWuXFn16tWz2yYiIkLp6ekym812yYDCi9DSuNgMCwvTqFGjNGrUKP3888/65JNPtGDBAk2YMEFLliwpdhnBwcFavXr1ZdffeuutxSonNDRUBoNB586ds1uel5enHTt2qGHDhoqIiNCZM2eK7Hv69GlJl+osMjLysvVaePEvXRqiIEmjR49WfHx8kfIiIiIkSeXKlStyPKvVqszMzGKdEwAAJYGhAQAAeAB/f3916NBBW7du1YcffmibA+CP4uPjZTKZijxhYOPGjZJkN5/AtRTeWXfEb7/9ZveEg+rVq+vJJ5/UHXfcod9//73Y5cTHx+vixYuyWq2qX7++7e/w4cN67bXXZDKZilVOSEiIbrvtNn366ad2yz///HP1799faWlpat68uT799FNlZ2fb1pvNZm3atEn169eXv7+/WrVqJZPJpG3bttm2yc/Pt3X3LzzX6Oho/frrr3Yxx8TE6NVXX9X+/fslXZpb4PPPP7cbgvHFF1+ooKCg2PUDAMD1okcAAAAe4r777tOAAQNkNBo1bty4Iuvbtm2rFi1aaNy4cUpNTVWdOnW0c+dOLV26VF27dlWNGjWKfazCO9wff/yx2rZtq7i4uGvuc/PNNys2NlaTJ09Wdna2qlSpoh9++EGfffaZBgwYUOxjt2vXTs2bN9egQYM0aNAgxcXFad++fZo7d67atGmjqKioYpc1bNgwPfXUUxo5cqQefPBBnTlzRjNnzlSHDh1Uq1YtDRkyRJ9//rkef/xx9e/fX35+fnrjjTd08uRJJSUlSbp08d66dWuNGzdOZ8+e1c0336zVq1fr3LlztmEHPj4+GjFihF588UX5+PjorrvuUlZWlhYsWKDU1FTdfvvtkqTBgwdr27Zt6tu3r/r166dz585p9uzZdnMGAABwo5EIAADAQ9xxxx0KDw9XpUqVLnthbjAYtHjxYs2dO1crV67UuXPnVLlyZY0cOVK9e/d26FgtWrTQHXfcoVdffVVff/11sbv1z58/XzNnztScOXOUnp6uSpUqaciQIerfv3+xj200GrVkyRLNmTNHixcv1tmzZxUTE6PevXtr8ODBDp3HXXfdpUWLFmn+/PkaPHiwoqKi9MADD2jo0KGSpJo1a2rt2rWaOXOmxo4dK4PBoAYNGmj16tVq1qyZ3XklJiZq7ty5ysvL03333aeHH35Yn3zyiW2b//u//1NISIiSkpL05ptvKjg4WE2aNFFiYqJuueUWSZeeIvDGG2/o5Zdf1ogRIxQdHW17JCEAAKXFYC18sC0AAAAAACjz6BEAAABKhdls1rXuPxgMBh6lBwDADUaPAAAAUCp69uypnTt3XnWbm2++Wf/+979LKSIAALwTiQAAAFAqfv75Z124cOGq2/j7+6t27dqlFBEAAN6JRAAAAAAAAF7E8YcEAwAAAAAAj0UiAAAAAAAAL0IiAAAAAAAAL0IiAAAAAAAAL0IiAAAAAAAAL0IiAAAAAAAAL0IiAAAAAAAAL0IiAAAAAAAAL/L/V4rMLp0G5jgAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "monthly_steps = sns.barplot(x = 'Months_encoded', y = 'Steps', hue = \"Work_or_Weekend\", data = fitbit, palette = \"pastel\")\n",
+    "sns.set(rc={\"figure.figsize\": (12.,4)})\n",
+    "plt.savefig(\"../figures/figure1.png\")\n"
    ]
   },
   {
@@ -86,6 +580,34 @@
     "* Minutes Sedentary vs Steps  "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x_list = [\"Minutes Lightly Active\", \"Minutes Very Active\", \"Minutes Sedentary\"]\n",
+    "\n",
+    "for item in x_list:\n",
+    "    sns.set(rc={\"figure.figsize\": (12.,4)})\n",
+    "    sns.scatterplot(x= item, y=\"Steps\", data=fitbit, label = item)\n",
+    "    plt.xlabel(\"Minutes and intensity of movement\")\n",
+    "    plt.savefig(\"../figures/figure2.png\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -111,7 +633,7 @@
    "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..25d1981 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": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,13 +36,268 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "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>22.000000</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>38.000000</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>26.000000</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>35.000000</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>35.000000</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",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <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>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Spector, Mr. Woolf</td>\n",
+       "      <td>male</td>\n",
+       "      <td>29.513190</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A.5. 3236</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>1306</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Oliva y Ocana, Dona. Fermina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17758</td>\n",
+       "      <td>108.9000</td>\n",
+       "      <td>C105</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>1307</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Saether, Mr. Simon Sivertsen</td>\n",
+       "      <td>male</td>\n",
+       "      <td>38.500000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>SOTON/O.Q. 3101262</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>1308</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Ware, Mr. Frederick</td>\n",
+       "      <td>male</td>\n",
+       "      <td>29.513190</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>359309</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>1309</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Peter, Master. Michael J</td>\n",
+       "      <td>male</td>\n",
+       "      <td>25.315435</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2668</td>\n",
+       "      <td>22.3583</td>\n",
+       "      <td>U0</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1309 rows × 12 columns</p>\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",
+       "1304         1305       NaN       3   \n",
+       "1305         1306       NaN       1   \n",
+       "1306         1307       NaN       3   \n",
+       "1307         1308       NaN       3   \n",
+       "1308         1309       NaN       3   \n",
+       "\n",
+       "                                                   Name  Gender        Age  \\\n",
+       "0                               Braund, Mr. Owen Harris    male  22.000000   \n",
+       "1     Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.000000   \n",
+       "2                                Heikkinen, Miss. Laina  female  26.000000   \n",
+       "3          Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.000000   \n",
+       "4                              Allen, Mr. William Henry    male  35.000000   \n",
+       "...                                                 ...     ...        ...   \n",
+       "1304                                 Spector, Mr. Woolf    male  29.513190   \n",
+       "1305                       Oliva y Ocana, Dona. Fermina  female  39.000000   \n",
+       "1306                       Saether, Mr. Simon Sivertsen    male  38.500000   \n",
+       "1307                                Ware, Mr. Frederick    male  29.513190   \n",
+       "1308                           Peter, Master. Michael J    male  25.315435   \n",
+       "\n",
+       "      SibSp  Parch              Ticket      Fare Cabin Embarked  \n",
+       "0         1      0           A/5 21171    7.2500    U0        S  \n",
+       "1         1      0            PC 17599   71.2833   C85        C  \n",
+       "2         0      0    STON/O2. 3101282    7.9250    U0        S  \n",
+       "3         1      0              113803   53.1000  C123        S  \n",
+       "4         0      0              373450    8.0500    U0        S  \n",
+       "...     ...    ...                 ...       ...   ...      ...  \n",
+       "1304      0      0           A.5. 3236    8.0500    U0        S  \n",
+       "1305      0      0            PC 17758  108.9000  C105        C  \n",
+       "1306      0      0  SOTON/O.Q. 3101262    7.2500    U0        S  \n",
+       "1307      0      0              359309    8.0500    U0        S  \n",
+       "1308      1      1                2668   22.3583    U0        C  \n",
+       "\n",
+       "[1309 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "titanic = pd.read_csv('../data/titanic.csv')\n",
+    "titanic"
    ]
   },
   {
@@ -54,10 +309,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PassengerId      int64\n",
+       "Survived       float64\n",
+       "Pclass           int64\n",
+       "Name            object\n",
+       "Gender          object\n",
+       "Age            float64\n",
+       "SibSp            int64\n",
+       "Parch            int64\n",
+       "Ticket          object\n",
+       "Fare           float64\n",
+       "Cabin           object\n",
+       "Embarked        object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.dtypes"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -69,10 +349,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['PassengerId', 'Survived', 'Pclass', 'Age', 'SibSp', 'Parch', 'Fare'], dtype='object')\n",
+      "Index(['Name', 'Gender', 'Ticket', 'Cabin', 'Embarked'], dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "numerical_vars = titanic.select_dtypes(include=['int', 'float'])\n",
+    "print(numerical_vars.columns)\n",
+    "\n",
+    "categorical_vars = titanic.select_dtypes(include=['object', 'category'])\n",
+    "print(categorical_vars.columns)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -84,11 +379,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "sns.set_context(\"poster\")\n",
+    "sns.set(rc={\"figure.figsize\": (12.,6.)})\n",
+    "sns.set_style(\"whitegrid\")"
    ]
   },
   {
@@ -100,11 +397,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 34,
+   "metadata": {},
+   "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=20)\n",
+    "plt.savefig(\"../figures/figure3.png\")"
    ]
   },
   {
@@ -120,9 +429,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "\"\"\"\n",
-    "your comments here\n",
-    "\"\"\""
+    "#The smaller the bin size, the more detail and granularity. The bigger the bin size, the more generalised the plot. Smaller bin size more accurate but more susceptible to outliers, bigger bin size less detailed but 'smoother', more likely to demonstrate pattern."
    ]
   },
   {
@@ -135,22 +442,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "titanic[\"Gender\"].value_counts().plot(kind=\"bar\", color=\"salmon\", title=\"Number of people on Titanic by gender\")\n",
+    "plt.xticks(rotation=0);\n",
+    "plt.savefig(\"../figures/figure4.png\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 49,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "sns.countplot(x=titanic.Gender)\n",
+    "plt.savefig(\"../figures/figure5.png\")\n"
    ]
   },
   {
@@ -162,11 +496,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 58,
+   "metadata": {},
+   "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"
+    "sns.countplot(x=titanic.Pclass)\n",
+    "plt.savefig(\"../figures/figure6.png\")"
    ]
   },
   {
@@ -185,11 +531,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 76,
+   "metadata": {},
+   "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"
+    "box = sns.boxplot(x=titanic[\"Age\"])\n",
+    "plt.savefig(\"../figures/figure7.png\")"
    ]
   },
   {
@@ -199,7 +557,9 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "The box represents the middle quartile, with the median age represented as the line in the middle. The lower and upper quartiles are the left and right edge of the box.The maximum and minimum values are the lines at the far right and left, and the dots on the right are the outliers.\n",
+    "\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -213,22 +573,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "fare_age_1= plt.scatter(x=titanic[\"Age\"], y=titanic[\"Fare\"]);\n",
+    "plt.savefig(\"../figures/figure8.png\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "fare_age_2 = sns.scatterplot(x= \"Age\", y=\"Fare\", data=titanic)\n",
+    "plt.savefig(\"../figures/figure9.png\")"
    ]
   },
   {
@@ -243,8 +627,31 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "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",
+    "plt.savefig(\"../figures/figure10.png\")\n",
+    "plt.show()\n"
    ]
   },
   {
@@ -261,7 +668,8 @@
    "outputs": [],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "The most strongly correlated are Fare and Pclass - this makes sense since obviously the more expensive fares would be for the upper class cabins.\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -274,13 +682,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 106,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "plt.figure(figsize=(10, 3))\n",
+    "titanic[\"Pclass\"] = titanic[\"Pclass\"].astype(\"category\")\n",
+    "box = sns.boxplot(x=titanic[\"Age\"], y=titanic[\"Pclass\"])\n",
+    "plt.savefig(\"../figures/figure11.png\")\n",
+    "plt.show()\n"
    ]
   },
   {
@@ -293,11 +716,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 105,
+   "metadata": {},
+   "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",
+    "plt.savefig(\"../figures/figure12.png\")\n",
+    "plt.show()\n"
    ]
   }
  ],
@@ -318,7 +755,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [
diff --git a/your-code/challenge-3.ipynb b/your-code/challenge-3.ipynb
index 74d5b31..d692f19 100644
--- a/your-code/challenge-3.ipynb
+++ b/your-code/challenge-3.ipynb
@@ -156,7 +156,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [