diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 9df5e53..b00fd78 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 +35,226 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "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>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",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 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",
+       "   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",
+       "   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",
+       "   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",
+       "   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",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "fitbit = pd.read_csv(\"../data/Fitbit2.csv\")\n",
+    "fitbit.head()"
    ]
   },
   {
@@ -59,11 +274,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "%config Inlinebackend.figure_format= 'retina'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "sns.set_context(\"poster\")\n",
+    "sns.set(rc={\"figure.figsize\": (12.,4.)})\n",
+    "sns.set_style(\"whitegrid\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/ns/rjvmq7zn3cggtjmkkj8bhfsc0000gn/T/ipykernel_20936/4174325842.py:1: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.barplot(x = fitbit[\"Months_encoded\"], y= fitbit[\"Steps\"], palette=\"magma\")\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='Months_encoded', ylabel='Steps'>"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(x = fitbit[\"Months_encoded\"], y= fitbit[\"Steps\"], palette=\"magma\")"
    ]
   },
   {
@@ -71,8 +339,54 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "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"
+    "# your code here\n",
+    "plt.figure(figsize=(12,4))\n",
+    "fitbit.groupby([\"Work_or_Weekend\"])[\"Steps\"].mean().plot(kind=\"bar\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "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",
+    "def plot_number_of_runners ():\n",
+    "    fitbit[\"Days\"].value_counts().plot(kind=\"bar\", color=\"magenta\", title=\"runners for day\")\n",
+    "    plt.xticks(rotation=0.5)\n",
+    "    plt.savefig(\"rfd.png\")\n",
+    "\n",
+    "plot_number_of_runners()"
    ]
   },
   {
@@ -86,6 +400,29 @@
     "* Minutes Sedentary vs Steps  "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lst = [fitbit[\"Minutes Lightly Active\"],fitbit[\"Minutes Very Active\"], fitbit[\"Minutes Fairly Active\"]]\n",
+    "\n",
+    "for i in lst:\n",
+    "    scatter = sns.scatterplot(x=i, y=\"Steps\", data=fitbit)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -99,7 +436,7 @@
   "kernelspec": {
    "display_name": "ironhack",
    "language": "python",
-   "name": "ironhack"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -111,7 +448,7 @@
    "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..c3a529f 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -40,9 +40,154 @@
    "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"
+    "# your code here\n",
+    "titanic = pd.read_csv(\"../data/titanic.csv\")\n",
+    "titanic.head()\n"
    ]
   },
   {
@@ -54,10 +199,471 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1309 entries, 0 to 1308\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column       Non-Null Count  Dtype  \n",
+      "---  ------       --------------  -----  \n",
+      " 0   PassengerId  1309 non-null   int64  \n",
+      " 1   Survived     891 non-null    float64\n",
+      " 2   Pclass       1309 non-null   int64  \n",
+      " 3   Name         1309 non-null   object \n",
+      " 4   Gender       1309 non-null   object \n",
+      " 5   Age          1309 non-null   float64\n",
+      " 6   SibSp        1309 non-null   int64  \n",
+      " 7   Parch        1309 non-null   int64  \n",
+      " 8   Ticket       1309 non-null   object \n",
+      " 9   Fare         1309 non-null   float64\n",
+      " 10  Cabin        1309 non-null   object \n",
+      " 11  Embarked     1309 non-null   object \n",
+      "dtypes: float64(3), int64(4), object(5)\n",
+      "memory usage: 122.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "titanic.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PassengerId  Survived  Pclass  Name                                      Gender  Age        SibSp  Parch  Ticket      Fare    Cabin  Embarked\n",
+       "1            0.0       3       Braund, Mr. Owen Harris                   male    22.000000  1      0      A/5 21171   7.250   U0     S           1\n",
+       "599          0.0       3       Boulos, Mr. Hanna                         male    27.749836  0      0      2664        7.225   U0     C           1\n",
+       "588          1.0       1       Frolicher-Stehli, Mr. Maxmillian          male    60.000000  1      1      13567       79.200  B41    C           1\n",
+       "589          0.0       3       Gilinski, Mr. Eliezer                     male    22.000000  0      0      14973       8.050   U0     S           1\n",
+       "590          0.0       3       Murdlin, Mr. Joseph                       male    29.513190  0      0      A./5. 3235  8.050   U0     S           1\n",
+       "                                                                                                                                                ..\n",
+       "301          1.0       3       Kelly, Miss. Anna Katherine \"Annie Kate\"  female  32.693417  0      0      9234        7.750   U0     Q           1\n",
+       "302          1.0       3       McCoy, Mr. Bernard                        male    22.951746  2      0      367226      23.250  U0     Q           1\n",
+       "303          0.0       3       Johnson, Mr. William Cahoone Jr           male    19.000000  0      0      LINE        0.000   U0     S           1\n",
+       "304          1.0       2       Keane, Miss. Nora A                       female  45.893242  0      0      226593      12.350  E101   Q           1\n",
+       "891          0.0       3       Dooley, Mr. Patrick                       male    32.000000  0      0      370376      7.750   U0     Q           1\n",
+       "Name: count, Length: 891, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>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>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</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>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1309 rows × 12 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      PassengerId  Survived  Pclass   Name  Gender    Age  SibSp  Parch  \\\n",
+       "0           False     False   False  False   False  False  False  False   \n",
+       "1           False     False   False  False   False  False  False  False   \n",
+       "2           False     False   False  False   False  False  False  False   \n",
+       "3           False     False   False  False   False  False  False  False   \n",
+       "4           False     False   False  False   False  False  False  False   \n",
+       "...           ...       ...     ...    ...     ...    ...    ...    ...   \n",
+       "1304        False      True   False  False   False  False  False  False   \n",
+       "1305        False      True   False  False   False  False  False  False   \n",
+       "1306        False      True   False  False   False  False  False  False   \n",
+       "1307        False      True   False  False   False  False  False  False   \n",
+       "1308        False      True   False  False   False  False  False  False   \n",
+       "\n",
+       "      Ticket   Fare  Cabin  Embarked  \n",
+       "0      False  False  False     False  \n",
+       "1      False  False  False     False  \n",
+       "2      False  False  False     False  \n",
+       "3      False  False  False     False  \n",
+       "4      False  False  False     False  \n",
+       "...      ...    ...    ...       ...  \n",
+       "1304   False  False  False     False  \n",
+       "1305   False  False  False     False  \n",
+       "1306   False  False  False     False  \n",
+       "1307   False  False  False     False  \n",
+       "1308   False  False  False     False  \n",
+       "\n",
+       "[1309 rows x 12 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.isna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Fare</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>1309.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>655.000000</td>\n",
+       "      <td>0.383838</td>\n",
+       "      <td>2.294882</td>\n",
+       "      <td>29.879186</td>\n",
+       "      <td>0.498854</td>\n",
+       "      <td>0.385027</td>\n",
+       "      <td>33.281086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>378.020061</td>\n",
+       "      <td>0.486592</td>\n",
+       "      <td>0.837836</td>\n",
+       "      <td>13.448335</td>\n",
+       "      <td>1.041658</td>\n",
+       "      <td>0.865560</td>\n",
+       "      <td>51.741500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.170000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>328.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.895800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>655.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>28.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>14.454200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>982.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.275000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1309.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>512.329200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       PassengerId    Survived       Pclass          Age        SibSp  \\\n",
+       "count  1309.000000  891.000000  1309.000000  1309.000000  1309.000000   \n",
+       "mean    655.000000    0.383838     2.294882    29.879186     0.498854   \n",
+       "std     378.020061    0.486592     0.837836    13.448335     1.041658   \n",
+       "min       1.000000    0.000000     1.000000     0.170000     0.000000   \n",
+       "25%     328.000000    0.000000     2.000000    22.000000     0.000000   \n",
+       "50%     655.000000    0.000000     3.000000    28.500000     0.000000   \n",
+       "75%     982.000000    1.000000     3.000000    37.000000     1.000000   \n",
+       "max    1309.000000    1.000000     3.000000    80.000000     8.000000   \n",
+       "\n",
+       "             Parch         Fare  \n",
+       "count  1309.000000  1309.000000  \n",
+       "mean      0.385027    33.281086  \n",
+       "std       0.865560    51.741500  \n",
+       "min       0.000000     0.000000  \n",
+       "25%       0.000000     7.895800  \n",
+       "50%       0.000000    14.454200  \n",
+       "75%       0.000000    31.275000  \n",
+       "max       9.000000   512.329200  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.describe()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -69,10 +675,347 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Fare</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>22.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.2500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>38.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>71.2833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.9250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53.1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.0500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1304</th>\n",
+       "      <td>1305</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29.513190</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.0500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1305</th>\n",
+       "      <td>1306</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>108.9000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1306</th>\n",
+       "      <td>1307</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>38.500000</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.2500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1307</th>\n",
+       "      <td>1308</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29.513190</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8.0500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1308</th>\n",
+       "      <td>1309</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>25.315435</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>22.3583</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1309 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      PassengerId  Survived  Pclass        Age  SibSp  Parch      Fare\n",
+       "0               1       0.0       3  22.000000      1      0    7.2500\n",
+       "1               2       1.0       1  38.000000      1      0   71.2833\n",
+       "2               3       1.0       3  26.000000      0      0    7.9250\n",
+       "3               4       1.0       1  35.000000      1      0   53.1000\n",
+       "4               5       0.0       3  35.000000      0      0    8.0500\n",
+       "...           ...       ...     ...        ...    ...    ...       ...\n",
+       "1304         1305       NaN       3  29.513190      0      0    8.0500\n",
+       "1305         1306       NaN       1  39.000000      0      0  108.9000\n",
+       "1306         1307       NaN       3  38.500000      0      0    7.2500\n",
+       "1307         1308       NaN       3  29.513190      0      0    8.0500\n",
+       "1308         1309       NaN       3  25.315435      1      1   22.3583\n",
+       "\n",
+       "[1309 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "int_ = titanic.select_dtypes(include=[\"float64\", \"int64\"])\n",
+    "int_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "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>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": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.select_dtypes(include=object)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -84,11 +1027,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "sns.set_context(\"poster\")\n",
+    "sns.set(rc={\"figure.figsize\": (12.,4.)})\n",
+    "sns.set_style(\"whitegrid\")"
    ]
   },
   {
@@ -100,11 +1045,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 11,
    "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"
+    "# your code here\n",
+    "\n",
+    "sns.histplot(x=titanic.Age);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(x=titanic.Age, bins = 15);"
    ]
   },
   {
@@ -116,12 +1094,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nBasically what it does, is brighten or close up the range so that you can get as more detail information without getting overwelmed \\nwith a hole lot of bars that would be the result of not putting the data in  bins.\\n'"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "Basically what it does, is brighten or close up the range so that you can get as more detail information without getting overwelmed \n",
+    "with a hole lot of bars that would be the result of not putting the data in  bins.\n",
     "\"\"\""
    ]
   },
@@ -135,22 +1125,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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OjuasCwCYrClnWgBYLyYmhjPcrUBpaWmTxnkVuCMjIyVJvXr18miPi4vT//zP/2jIkCE6ePCgR19lZaV77uVLySsrKxUbG+sx5vJ7+8Jmsyk8PNzn+QDM5XA4+BkFAACQOAnRSjT1IKdXD0278cYb1bZtW/31r3/1aD948KB69Oih5ORkFRUVuS89l6Q9e/aobdu2SkhIUEREhGJiYpSfn+/ur6+vV2FhoZKTk70pBQAAAACAgOZV4A4LC1NmZqZeeukl/ed//qf+8Y9/aOXKlfrTn/6kjIwM3XbbberSpYsmTpyokpIS7dy5U0uWLNGYMWPc17ePGTNG69ev15tvvqnS0lL96le/Uk1Nje677z5TFggAAAAAgBW8uqRcksaPHy+Hw6GlS5fqxIkTio2N1Ysvvqjvfe97kqS1a9dq9uzZuv/++9WxY0c99NBDGj9+vHv+/fffr/Pnz2vZsmU6e/as+vTpo/Xr16tz587+WxUAAAAAABbzOnBLUkZGhjIyMq7Y17NnT+Xl5X3j/LFjx2rs2LG+bBoAAAAAgBbBq0vKAQAAAABA0xC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABN4HbhPnDih+Pj4Rl87duyQJBUXFys9PV1JSUlKTU3Vxo0bPeY3NDRo+fLlSklJUVJSksaNG6cjR474ZzUAAAAAAASIYG8nlJSUKDQ0VDt37pTNZnO3t2/fXmfOnFFGRoZSU1M1e/Zs7d+/X7Nnz1bbtm01evRoSdKKFSu0efNmLVy4UFFRUVq8eLEyMzP19ttvKyQkxH8rAwAAAADAQl4H7oMHDyo6Olpdu3Zt1Pfyyy/Lbrdrzpw5Cg4OVmxsrA4fPqw1a9Zo9OjRcrlcysvL05QpUzR8+HBJ0tKlS5WSkqL3339fo0aNavaCAAAAAAAIBF4H7k8++USxsbFX7CssLNSQIUMUHPx/bzt06FCtXr1aJ0+e1Oeff66LFy9q2LBh7v4OHTooMTFRBQUFPgduwzBUXV3t01wA5nE6nR7/BQCYx2azyeFwWF0GgKtwOp0yDMPqMtBMhmF4XPH9dXw6w92pUyc9/PDDKisrU8+ePfXEE0/o5ptvVkVFhXr16uUx/vKZ8OPHj6uiokKS1K1bt0ZjLvf5oq6uTsXFxT7PB2Cu8vJyq0sAgFbP4XAoMTHR6jIAXEVZWRknI1qJptwS7VXgrq+v12effaa4uDg99dRTateunX73u9/pscce0/r161VTU9Noo6GhoZKk2tpa9/9YVxpTVVXlTSke7Ha74uLifJ4PwBxOp1Pl5eWKjo7mrAsAmKwpZ1oAWC8mJoYz3K1AaWlpk8Z5FbiDg4OVn5+vNm3aKCwsTJLUp08fffrpp1q3bp3CwsLkcrk85tTW1kqSwsPD3XNcLpf7+8tjmvPHuM1mU3h4uM/zAZjL4XDwMwoAACBxEqKVaOpBTq8/Fqxt27YeYVmSvvvd7+rEiROKiopSZWWlR9/l15GRke5Lya80JjIy0ttSAAAAAAAIWF4F7k8//VQDBw5Ufn6+R/vf/vY3xcXFKTk5WXv37tWlS5fcfXv27FFMTIwiIiKUkJCgdu3aecw/d+6cioqKlJyc3MylAAAAAAAQOLwK3LGxsfrOd76jOXPmqLCwUIcOHdKCBQu0f/9+PfHEExo9erQuXLignJwclZaWaseOHdqwYYOysrIkfXnvdnp6unJzc7Vr1y6VlJRo0qRJioqK0ogRI0xZIAAAAAAAVvDqHu6goCCtWrVKzz//vCZOnKhz584pMTFR69evdz+dfO3atZo3b57S0tLUpUsXTZs2TWlpae73yM7OVn19vWbMmKGamholJydr3bp1stvt/l0ZAAAAAAAW8vpjwb71rW9pwYIFX9vfr18/bd269Wv727Rpo6lTp2rq1KnebhoAAAAAgBbD64emAQAAAACAqyNwAwAAAABgAgI3AAAAAAAmIHADMI3NZpPD4ZDNZrO6FAAAAOCa8/qhaYDZGhoMBQUR0FoDh8OhxMREq8uAn/EzCgAA0DQEbgScoCCbcjft1dET560uBcBXdI9srykPD7K6DAAAgBaBwI2AdPTEeR06VmV1GQAAAADgM+7hBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEPgfusrIyDRgwQDt27HC3FRcXKz09XUlJSUpNTdXGjRs95jQ0NGj58uVKSUlRUlKSxo0bpyNHjvhePQAAAAAAAcqnwF1XV6cpU6aourra3XbmzBllZGSoR48e2r59uyZMmKDc3Fxt377dPWbFihXavHmz5s6dqy1btqihoUGZmZlyuVzNXwkAAAAAAAHEp8D94osvql27dh5t27Ztk91u15w5cxQbG6vRo0fr0Ucf1Zo1ayRJLpdLeXl5ys7O1vDhw5WQkKClS5eqoqJC77//fvNXAgAAAABAAPE6cBcUFGjr1q1auHChR3thYaGGDBmi4OBgd9vQoUNVXl6ukydPqqSkRBcvXtSwYcPc/R06dFBiYqIKCgqasQQAAAAAAAJP8NWH/J9z585p2rRpmjFjhrp16+bRV1FRoV69enm0de3aVZJ0/PhxVVRUSFKjeV27dnX3+cowDI/L29Fy2Ww2ORwOq8sAcBVOp1OGYVhdBoB/wj4UaBnYh7YOhmHIZrNddZxXgXvWrFkaMGCA7rzzzkZ9NTU1CgkJ8WgLDQ2VJNXW1srpdErSFcdUVVV5U0YjdXV1Ki4ubtZ7IDA4HA4lJiZaXQaAqygrK3P/XgcQGNiHAi0D+9DW46vZ9kqaHLjfeustFRYW6u23375if1hYWKOHn9XW1kqSwsPDFRYWJunLe7kvf395THOPxtrtdsXFxTXrPRAYmnKUCID1YmJiODoPBBj2oUDLwD60dSgtLW3SuCYH7u3bt+vUqVMaPny4R/szzzyjd955R1FRUaqsrPTou/w6MjJS9fX17rYePXp4jImPj29qGVdks9kUHh7erPcAADQdl60CAOAb9qGtQ1MPcjY5cOfm5qqmpsajbcSIEcrOztZdd92l3/zmN9qyZYsuXbqkNm3aSJL27NmjmJgYRUREqH379mrXrp3y8/PdgfvcuXMqKipSenp6U8sAAAAAAKBFaHLgjoyMvGJ7RESEIiMjNXr0aK1du1Y5OTnKzMzUgQMHtGHDBs2ePVvSl9e3p6enKzc3V507d9YNN9ygxYsXKyoqSiNGjPDPagAAAAAACBBePTTtm0RERGjt2rWaN2+e0tLS1KVLF02bNk1paWnuMdnZ2aqvr9eMGTNUU1Oj5ORkrVu3Tna73V9lAAAAAAAQEJoVuD/55BOP1/369dPWrVu/dnybNm00depUTZ06tTmbBQAAAAAg4AVZXQAAAAAAAK0RgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwgdeB+9SpU5o6daqGDh2qAQMG6LHHHtOhQ4fc/cXFxUpPT1dSUpJSU1O1ceNGj/kNDQ1avny5UlJSlJSUpHHjxunIkSPNXwkAAAAAAAHE68A9YcIEHT58WGvWrNEbb7yhsLAwPfroo3I6nTpz5owyMjLUo0cPbd++XRMmTFBubq62b9/unr9ixQpt3rxZc+fO1ZYtW9TQ0KDMzEy5XC6/LgwAAAAAACsFezO4qqpKN9xwg7KystSrVy9J0vjx43X33Xfr008/1e7du2W32zVnzhwFBwcrNjbWHc5Hjx4tl8ulvLw8TZkyRcOHD5ckLV26VCkpKXr//fc1atQovy8QAAAAAAAreHWGu2PHjnr++efdYfv06dPasGGDoqKiFBcXp8LCQg0ZMkTBwf+X44cOHary8nKdPHlSJSUlunjxooYNG+bu79ChgxITE1VQUOCnJQEAAAAAYD2vznD/s5kzZ2rbtm0KCQnRypUrFR4eroqKCncYv6xr166SpOPHj6uiokKS1K1bt0ZjLvf5wjAMVVdX+zwfgcNms8nhcFhdBoCrcDqdMgzD6jIA/BP2oUDLwD60dTAMQzab7arjfA7cP/3pT/XAAw9o06ZNmjBhgjZv3qyamhqFhIR4jAsNDZUk1dbWyul0StIVx1RVVflaiurq6lRcXOzzfAQOh8OhxMREq8sAcBVlZWXu3+kAAgP7UKBlYB/aenw1116Jz4E7Li5OkjRv3jz99a9/1auvvqqwsLBGDz+rra2VJIWHhyssLEyS5HK53N9fHtOcI7J2u91dD1q2phwlAmC9mJgYjs4DAYZ9KNAysA9tHUpLS5s0zqvAffr0ae3evVsjR45036cdFBSkuLg4VVZWKioqSpWVlR5zLr+OjIxUfX29u61Hjx4eY+Lj470pxYPNZlN4eLjP8wEA3uGyVQAAfMM+tHVo6kFOrx6advLkSU2ePFm7d+92t9XV1amoqEixsbFKTk7W3r17denSJXf/nj17FBMTo4iICCUkJKhdu3bKz8939587d05FRUVKTk72phQAAAAAAAKaV4G7V69euvnmm/Xss8+qoKBABw8e1FNPPaVz587p0Ucf1ejRo3XhwgXl5OSotLRUO3bs0IYNG5SVlSXpy2vc09PTlZubq127dqmkpESTJk1SVFSURowYYcoCAQAAAACwgtf3cC9ZskTPP/+8Jk2apPPnz2vw4MHatGmTrr/+eknS2rVrNW/ePKWlpalLly6aNm2a0tLS3POzs7NVX1+vGTNmqKamRsnJyVq3bp3sdrv/VgUAAAAAgMW8Dtzt27fXrFmzNGvWrCv29+vXT1u3bv3a+W3atNHUqVM1depUbzcNAAAAAECL4dUl5QAAAAAAoGkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJvA7cZ8+e1dNPP62bb75ZAwcO1L//+7+rsLDQ3b97927de++96t+/v37wgx/od7/7ncf82tpazZ49W8OGDdOAAQP0y1/+UqdPn27+SgAAAAAACCBeB+7Jkydr3759WrJkibZv367evXtr7Nix+uyzz3To0CFlZWUpJSVFO3bs0I9//GNNmzZNu3fvds+fNWuW/vjHP+rFF1/Uyy+/rM8++0zZ2dl+XRQAAAAAAFYL9mbw4cOH9ac//UmbN2/WoEGDJEkzZ87Uhx9+qLffflunTp1SfHy8Jk2aJEmKjY1VUVGR1q5dq2HDhunEiRN66623tGrVKg0ePFiStGTJEv3gBz/Qvn37NGDAAD8vDwAAAAAAa3h1hrtTp05as2aN+vbt626z2Wyy2Ww6d+6cCgsLNWzYMI85Q4cO1d69e2UYhvbu3etuuywmJkaRkZEqKChozjoAAAAAAAgoXp3h7tChg2655RaPtvfee0+HDx/Wr371K7355puKiory6O/ataucTqfOnDmjEydOqFOnTgoNDW00pqKiwsclSIZhqLq62uf5CBw2m00Oh8PqMgBchdPplGEYVpcB4J+wDwVaBvahrYNhGLLZbFcd51Xg/qq//OUvmj59ukaMGKHhw4erpqZGISEhHmMuv3a5XHI6nY36JSk0NFS1tbU+11FXV6fi4mKf5yNwOBwOJSYmWl0GgKsoKyuT0+m0ugwA/4R9KNAysA9tPa6Ubb/K58C9c+dOTZkyRQMHDlRubq6kL4Ozy+XyGHf5tcPhUFhYWKN+6csnlzfniKzdbldcXJzP8xE4mnKUCID1YmJiODoPBBj2oUDLwD60dSgtLW3SOJ8C96uvvqp58+bpBz/4gZ577jl3su/WrZsqKys9xlZWVio8PFzt27dXVFSUzp49K5fL5XE0oLKyUpGRkb6UIunLHUx4eLjP8wEA3uGyVQAAfMM+tHVo6kFOrz8WbPPmzZo7d64efvhhLVmyxCM4Dx48WB999JHH+D179mjgwIEKCgrSoEGD1NDQ4H54mvTlJRUnTpxQcnKyt6UAAAAAABCwvArcZWVlmj9/vm6//XZlZWXp5MmT+uKLL/TFF1/o/PnzeuSRR3TgwAHl5ubq0KFDysvL03/9138pMzNTkhQZGakf/ehHmjFjhvLz83XgwAFNnjxZQ4YMUVJSkhnrAwAAAADAEl5dUv7ee++prq5OH3zwgT744AOPvrS0NC1cuFArVqzQ4sWL9fLLL6t79+5avHixx0eFzZ07V/Pnz9fPfvYzSdLNN9+sGTNm+GEpAAAAAAAEDq8C9+OPP67HH3/8G8fcfPPNuvnmm7+2Pzw8XM8++6yeffZZbzYNAAAAAECL4vU93AAAAAAA4OoI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJmhW4V69erUceecSjrbi4WOnp6UpKSlJqaqo2btzo0d/Q0KDly5crJSVFSUlJGjdunI4cOdKcMgAAAAAACDg+B+5NmzZp2bJlHm1nzpxRRkaGevTooe3bt2vChAnKzc3V9u3b3WNWrFihzZs3a+7cudqyZYsaGhqUmZkpl8vl8yIAAAAAAAg0wd5OOHHihJ555hnl5+crOjrao2/btm2y2+2aM2eOgoODFRsbq8OHD2vNmjUaPXq0XC6X8vLyNGXKFA0fPlyStHTpUqWkpOj999/XqFGj/LEmAAAAAAAs5/UZ7r///e+y2+367W9/q/79+3v0FRYWasiQIQoO/r8cP3ToUJWXl+vkyZMqKSnRxYsXNWzYMHd/hw4dlJiYqIKCgmYsAwAAAACAwOL1Ge7U1FSlpqZesa+iokK9evXyaOvatask6fjx46qoqJAkdevWrdGYy32+MAxD1dXVPs9H4LDZbHI4HFaXAeAqnE6nDMOwugwA/4R9KNAysA9tHQzDkM1mu+o4rwP3N6mpqVFISIhHW2hoqCSptrZWTqdTkq44pqqqyuft1tXVqbi42Of5CBwOh0OJiYlWlwHgKsrKyty/0wEEBvahQMvAPrT1+GquvRK/Bu6wsLBGDz+rra2VJIWHhyssLEyS5HK53N9fHtOcI7J2u11xcXE+z0fgaMpRIgDWi4mJ4eg8EGDYhwItA/vQ1qG0tLRJ4/wauKOiolRZWenRdvl1ZGSk6uvr3W09evTwGBMfH+/zdm02m8LDw32eDwDwDpetAgDgG/ahrUNTD3I263O4vyo5OVl79+7VpUuX3G179uxRTEyMIiIilJCQoHbt2ik/P9/df+7cORUVFSk5OdmfpQAAAAAAYCm/Bu7Ro0frwoULysnJUWlpqXbs2KENGzYoKytL0pfXuKenpys3N1e7du1SSUmJJk2apKioKI0YMcKfpQAAAAAAYCm/XlIeERGhtWvXat68eUpLS1OXLl00bdo0paWlucdkZ2ervr5eM2bMUE1NjZKTk7Vu3TrZ7XZ/lgIAAAAAgKWaFbgXLlzYqK1fv37aunXr185p06aNpk6dqqlTpzZn0wAAAAAABDS/XlIOAAAAAAC+ROAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATGBJ4G5oaNDy5cuVkpKipKQkjRs3TkeOHLGiFAAAAAAATGFJ4F6xYoU2b96suXPnasuWLWpoaFBmZqZcLpcV5QAAAAAA4HfXPHC7XC7l5eUpOztbw4cPV0JCgpYuXaqKigq9//7717ocAAAAAABMEXytN1hSUqKLFy9q2LBh7rYOHTooMTFRBQUFGjVqlFfvV1dXJ8MwdODAAX+XCovYbDbdN6y96i+1tboUAF8R3CZIH3/8sQzDsLoUAFfAPhQIXOxDW5e6ujrZbLarjrvmgbuiokKS1K1bN4/2rl27uvu8cXmRTVksWo6O7UKsLgHAN+B3LhC42IcCgY19aOtgs9kCM3A7nU5JUkiI584gNDRUVVVVXr/fgAED/FIXAAAAAAD+dM3v4Q4LC5OkRg9Iq62tlcPhuNblAAAAAABgimseuC9fSl5ZWenRXllZqcjIyGtdDgAAAAAAprjmgTshIUHt2rVTfn6+u+3cuXMqKipScnLytS4HAAAAAABTXPN7uENCQpSenq7c3Fx17txZN9xwgxYvXqyoqCiNGDHiWpcDAAAAAIAprnnglqTs7GzV19drxowZqqmpUXJystatWye73W5FOQAAAAAA+J3N4IPgAAAAAADwu2t+DzcAAAAAAP8KCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA3A71wulz777DPV19errq7O6nIAAGhRCgoKtGXLFl24cEGlpaWqr6+3uiQAPgq2ugAArYdhGHr++ef1yiuvqK6uTu+9956WLl0qh8OhWbNmyW63W10iAAAB68KFC8rMzNT+/ftls9n0//7f/1Nubq6OHDmivLw8RUZGWl0iAC9xhhuA37zyyiv6zW9+o2eeeUYhISGSpNtuu007d+7Uf/zHf1hcHQAAgW3JkiWSpA8++EBhYWGSpKlTpyokJESLFi2ysjQAPiJwA/CbrVu36umnn9a9994rm80mSbrjjjv07LPP6u2337a4OgAAAtvvf/97TZs2Td/+9rfdbbGxsXr66ae1e/duCysD4CsCNwC/OXr0qHr37t2oPSEhQV988YUFFQEA0HKcPn1aXbp0adTeoUMHVVdXW1ARgOYicAPwmxtuuEEff/xxo/Y//OEPHkfrAQBAY3379tW7777bqH3Tpk1KTEy0oCIAzcVD0wD4zdixYzV79mx98cUXMgxDu3fv1tatW/XKK6/oqaeesro8AAAC2uTJkzVmzBgdOHBA9fX1WrlypQ4dOqS///3vWrdundXlAfCBzTAMw+oiALQeW7du1cqVK1VRUSFJ6ty5s8aNG6eMjAyLKwMAIPCVlJQoLy9PRUVFamho0He/+12NGTNG/fv3t7o0AD4gcAMwxenTp2UYhiIiIqwuBQAAALAEgRtAsxQUFDR5bHJysomVAADQ8njzsZk/+9nPTKwEgBkI3ACaJSEhQTabTVf7VWKz2VRcXHyNqgIAoGVITU1t0jibzaZdu3aZXA0AfyNwA2iWY8eONXnsDTfcYGIlAAAAQGAhcAO4JmpraxUaGmp1GQAAtDgul0sff/yxBg0aZHUpALzEx4IB8JszZ85o1apVOnjwoC5duiRJMgxDdXV1Ki0tVWFhocUVAgAQuP72t79p5syZOnjwoBoaGhr1c2sW0PIEWV0AgNZj9uzZeuutt9SpUycVFhYqMjJSFy9e1P79+/XYY49ZXR4AAAFtwYIFatOmjWbMmCG73a6ZM2fqpz/9qYKDg7VkyRKrywPgA85wA/Cb3bt367nnntPw4cP1ySefaOzYsUpISNDMmTNVWlpqdXkAAAS0oqIivfzyy+rXr5927NihXr166aGHHlJUVJS2bdumH/7wh1aXCMBLnOEG4DcXL15UfHy8JOk73/mOSkpKJEnp6enKz8+3sjQAAAJeQ0ODunTpIknq2bOnDh48KEm69dZb3ftUAC0LgRuA30RGRrqfWh4dHa1PPvlEkuRwOFRVVWVlaQAABLyePXtq7969kr48cP3xxx9Lks6fPy+Xy2VlaQB8xCXlAPxmxIgRmj59uhYuXKjvf//7mjRpkvr376+dO3eqZ8+eVpcHAEBAe+SRR5STkyNJGjlypO6++26FhYXpL3/5i5KSkqwtDoBPCNwA/GbSpEmqr6/X559/rjvvvFMjRozQxIkT1b59ey1fvtzq8gAACGg//vGP1alTJ1133XWKjY3VggUL9Otf/1rdunXTzJkzrS4PgA/4HG4Apjp79qzatWun4GCO7wEAAOBfC38BA/CrTz/9VJ9++ukV7zW75557rn1BAAC0EC6XS6+//roOHjx4xf3oggULLKgKQHMQuAH4zapVq7Rs2bIr9tlsNgI3AADf4Mknn9TOnTvVu3dvhYaGWl0OAD/gknIAfvP9739fDz74oLKysvhDAQAALw0aNEgLFy7U7bffbnUpAPyEjwUD4Dd1dXW6++67CdsAAPigQ4cOiomJsboMAH5E4AbgN3fffbe2bdtmdRkAALRIjz/+uBYsWKAjR45YXQoAP+GScgB+U1FRobvvvlvh4eHq3r27bDabR//GjRstqgwAgMC3b98+Pf744zp37twV+4uLi69xRQCai4emAfCbp556SpLUr18/hYeHW1wNAAAtS05OjqKjo3XXXXexHwVaCQI3AL/Zt2+fNm7cqP79+1tdCgAALc7Ro0f129/+VtHR0VaXAsBPuIcbgN9069ZNdrvd6jIAAGiR+vbtq8OHD1tdBgA/4h5uAH6zc+dOrVq1ShMnTlSPHj0UHOx5Ec31119vUWUAAAS+bdu2admyZbrvvvv07W9/u9FB7HvuuceawgD4jMANwG9uvPFGXbp0SZI8HphmGIZsNhsPewEA4BskJCR8bR/7UaBlInAD8JuPPvroG/uHDBlyjSoBAAAArEfgBmAKl8ulkJAQq8sAAAAALMND0wD41WuvvabU1FQlJSXpyJEjeuaZZ7RixQqrywIAAACuOQI3AL95++239fzzzystLc39oJfY2FitWrVKeXl5FlcHAAAAXFsEbgB+k5eXp5ycHP385z9XUNCXv15+8pOf6Omnn9bWrVstrg4AAAC4tgjcAPymrKxMgwcPbtT+ve99T8ePH7egIgAAAMA6BG4AfvOtb31LZWVljdr37dunrl27WlARAAAAYB0CNwC/eeCBBzRnzhzt2rVLkvTZZ5/ptdde07x583TvvfdaXB0AAABwbfGxYACaZdGiRcrKylLHjh117NgxbdmyRRs3blRtba0kKTg4WA8++KCmT5+uNm3aWFwtAAAAcO0QuAE0S79+/fTOO++oe/fu6t27t/74xz8qPDxcpaWlMgxD3/nOd9SuXTurywQAAACuOQI3gGb54Q9/qNDQUPXu3Vtvvvmm7rjjDoWGhl5x7IIFC65xdQAAAIB1gq0uAEDLtnjxYq1evVrHjh2TzWbT559/7v4MbgAAAOBfGWe4AfhNamqqtm/frk6dOlldCgAAAGA5AjcAAAAAACbgY8EAAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAIYIcOHdLcuXM1cuRI9e/fX4MGDdKDDz6ozZs3q76+/prVER8frxdffPGabQ8AgNaAz+EGACBAvfPOO5o+fbpiY2OVkZGhmJgY1dTU6H//9381f/58ffjhh1qxYoVsNpvVpQIAgCsgcAMAEIAOHTqk6dOnKyUlRcuWLVNw8P/tsm+55RZ973vfU3Z2tt59913dcccdFlYKAAC+DpeUAwAQgNauXaugoCDNnj3bI2xfNnLkSN1zzz3u1w0NDVqzZo1uv/129enTRyNHjtQrr7ziMeeRRx5RTk6O1qxZo+HDh6tv37568MEHdeDAAY9xH330kR544AH1799fI0eO1J///OdG26+trdWiRYt0yy23qE+fPrrzzjv1zjvveIxJTU3V/Pnz9dOf/lT9+vVTTk5OM/5FAABoeTjDDQBAANq1a5eGDh2qiIiIrx3z3HPPub+fNWuWduzYoaysLA0YMEAFBQWaP3++zp07pwkTJrjHvffee4qNjdWMGTNkGIaee+45/fznP9d///d/q02bNvr73/+uMWPGaOjQoVq+fLmOHj2qyZMne2zXMAxNmDBBf/nLX5Sdna3Y2Fh98MEHmjRpklwul8eBgE2bNikjI0Pjxo1T27Zt/fcPBABAC0DgBgAgwFRVVamqqkrR0dGN+r76oDSbzaZ//OMf2rZtmyZPnqzHHntMknTTTTfJZrNp9erVeuihh9SpUyf3/HXr1qldu3aSpIsXL+rJJ59UcXGx+vTpo9WrVysiIkIrV66U3W6XJHXq1EmTJk1yb/PPf/6zPvzwQy1dutR9OXtKSoqcTqdyc3M1atQo91n566+/XlOmTPHvPxAAAC0El5QDABBgGhoarth++PBh3XjjjR5ft99+u/bs2SPDMJSamqr6+nr3V2pqqmpra7V37173e8TFxbnDtiRFRkZKkpxOpyRp7969SklJcYdtSRoxYoTatGnjfr17927ZbDbdcsstjbb3xRdf6NNPP3WP7d27t3/+UQAAaIE4ww0AQIDp1KmTwsPDdezYMY/2bt266Y033nC/fumll3Tw4EGdPXtWkvSjH/3oiu934sQJ9/cOh8OjLyjoy2Pvl0N+VVWV+2z4ZcHBwR5tZ8+elWEYGjhw4BW3V1lZ6Q7a4eHhX7tOAABaOwI3AAABKDU1Vb///e914cIF9xnpkJAQ9e3b1z3muuuukyR16NBBkvTyyy9f8T7p66+/vsnbve6663Ty5EmPNsMwVFVV5X7dvn17hYeHa+PGjVd8j549ezZ5ewAAtGZcUg4AQAB67LHHVF9frxkzZsjlcjXqr6mp0ZEjRyRJgwcPliSdOXNGffv2dX+dPn1aL7zwgvsMeFMMGzZMf/jDH9yXmEvShx9+qLq6OvfrIUOGqLq6WoZheGzv4MGDeumllxrdZw4AwL8qznADABCA4uPjtXjxYk2fPl333nuv7rvvPsXHx6u+vl779u3TG2+8oZMnTyozM1Px8fG66667NHPmTB07dkx9+vRRWVmZli5dqu7du1/x4WtfZ8KECdq5c6fGjh2rzMxMnT59WsuWLfO4p/uWW25RcnKyxo8fr/Hjxys2NlYHDhzQ8uXLlZKSos6dO5vwLwIAQMtD4AYAIECNHDlSffr00WuvvaY33nhDx44dk2EY+va3v6077rhDDz74oDtML1iwQKtXr9aWLVtUUVGhiIgI3XHHHZo4caLHA8+uJjo6Wq+++qoWLlyoSZMmKSIiQk8++aQWLlzoHhMUFKQ1a9bohRde0OrVq3Xq1ClFRkYqIyPD4yPIAAD4V2czDMOwuggAAAAAAFob7uEGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABP8f0UM8TmM7L90AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "# your code here\n",
+    "save = titanic.groupby(\"Gender\")[\"Gender\"].count().plot(kind=\"bar\")\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/ns/rjvmq7zn3cggtjmkkj8bhfsc0000gn/T/ipykernel_21891/3982059640.py:3: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.countplot(x = titanic[\"Gender\"], palette=\"magma\");\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "# your code here\n",
+    "sns.countplot(x = titanic[\"Gender\"], palette=\"magma\");"
    ]
   },
   {
@@ -162,11 +1188,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/ns/rjvmq7zn3cggtjmkkj8bhfsc0000gn/T/ipykernel_21891/1426588473.py:2: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.countplot(x = titanic[\"Pclass\"], palette=\"magma\");\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "sns.countplot(x = titanic[\"Pclass\"], palette=\"magma\");"
    ]
   },
   {
@@ -185,21 +1234,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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y9NFHJ/m/Z2onTpyYWbNmpUWLFjn//PPzqU99KhMmTEiPHj0azLRu3brccccdadGiRYYMGdIoc/bp02ebn6fGOGZjefOsb9TUZn27/PIoAACanJ133rk+Es8444yMHDkyM2bMyLp16+pjsW3btmnTpk3mzZuXli1ff75m43s7f//73+eCCy6of4lw586d07179/pnBE899dRcfvnl+dOf/pTLL788p556apLXnzHs2LFjOnTokP322y+VSiWf/OQnM2bMmMyaNStjxozJJz/5yVQqley3337p0qXLFh+zXbt2GTRoUNatW5dTTz0148ePz0svvZTx48fn1FNPzbp16zJo0KB06NAh55xzTh5//PGMGjUqM2bMyMqVKzNjxoyMGjUqjz/+eIYNG5YWLVqkRYsWW7xvY2jdunVOPPHELFmyJGeffXYeeOCBLF++PAcddFCmTZuWJUuW5IgjjkizZs3y/ve/P0uWLMm0adPSv3//LFmyJD//+c9z9tlnZ8mSJTnhhBMa7fNsG+M8Vfvcb403zzpz5sysXr06M2fObHKzvl3NKm/8EKm/4Y9//GOSNNk3Eq9cuTLPPvts2rRpk4svvjjjxo3zjG0TtHGd9t9/f/8i3oQ1xjrNmjUr559/ftq/+5i0aFfuS1y2pfWrFmfl7F86J41s43mu1s8F93tlsE7Vs/Hnw9+7jb75c2w3evPn2O62225ZtmzZZvd9q8+x3WhLPsd2o7f6HNu/d8w3f47tRlvyOba77bZbhg0btkWfY/u39m0Mb/4c2+T1X0rUpk2bt/wc2xYtWuSEE06o2ufY/qPnqdrnfmuUNGuydR26Xb4UGQCA7cPEiRPz2muvZeTIkVm6dGk6deqUsWPHpqamJtOnT8/ixYuzyy67pE+fPmnRokWWLl2ar3/963nttdey88475xvf+EY6derU4Jg333xzli1bliuvvDILFy5Mly5dctlll6Vjx46bfP+xY8dmxYoVGTduXObPn59u3brl/PPPT4cOHd72MS+99NKsWrUq48ePz8svv5zdd989n/nMZ9KuXbsG+x1++OEZNGjQZq/nm23Nvo3h7LPPzhlnnJGf/OQnmTFjRnr37p0TTjghLVq02GSm9evX5/7778+8efPSvXv3DBkypNGeqX2zxjhP1T73W2PjrE888USeeeaZHHDAAenfv3+TnHVrCVsAAJq0nXfeOTfeeOMmz6xv7lmcTp065cYbb3zLY3bs2DH//u//vkXfv0OHDg2eSd0Wx2zXrl0+97nPveV+LVq02OJXTW7Nvo2hdevWOe6447LPPvtk//33r4/VN8+08RnaammM81Ttc781WrRokQMOOCDNmzfP/vvvv11EbeI9tgAAABRO2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0barsO3QoUOaN2+enXbaqdqjAADwFnbaaSeP3YBtomW1B9iWdtttt9x+++3p1KlTtUcBAOAtdOvWzWM3YJvYrp6xTeKOEQCgIB67AdvCdhe2AAAA7FiELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGELQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0VpWewBgx7FhTW21R2gyNqyubfC/NA7/zQHAjkHYAo2upqYmrVq3Tt3Lj1Z7lCanbp5z0thatW6dmpqaao8BADQiYQs0uq5du+am7343tbWePdtW6urq8uKLL2bvvfdO27Ztqz1Ok1ZTU5OuXbtWewwAoBEJW+Ad0bVrV3GxDa1cuTKrV6/OPvvsk/bt21d7HACAqvLLowAAACiasAUAAKBowhYAAICiCVsAAACKJmwBAAAomrAFAACgaMIWAACAoglbAAAAiiZsAQAAKJqwBQAAoGjCFgAAgKIJWwAAAIombAEAACiasAUAAKBowhYAAICiCVsAAACKJmwBAAAomrAFAACgaMIWAACAoglbAAAAiiZsAQAAKJqwBQAAoGjCFgAAgKIJWwAAAIombAEAACiasAUAAKBowhYAAICiNatUKpW32umJJ55IpVJJ69at34mZtlqlUsnatWvTqlWrNGvWrNrj8DdYpzJYpzJYpzJYpzJYpzJYpzJYpzKUsk5r1qxJs2bN0r9//7fct+WWHLApX9nk9fmaanTzf6xTGaxTGaxTGaxTGaxTGaxTGaxTGUpZp2bNmm1xi27RM7YAAADQVHmPLQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtAAAARRO2AAAAFE3YAgAAUDRhCwAAQNGKD9sNGzbk+uuvz/vf//4cfPDB+exnP5u5c+dWeyze4D/+4z/y6U9/usG2Z599NkOHDs3BBx+cD33oQ7n99turNN2Oa8mSJbn88svzgQ98IP3798/pp5+eadOm1V/+yCOP5OSTT85BBx2UY489Nvfee28Vp91xvfrqq/nKV76SQw89NP369cvw4cPzwgsv1F/uttT0vPjii+nXr18mT55cv806NQ2vvPJKevXqtcmfjWtlnZqOKVOm5KMf/Wj69u2b4447Lvfff3/9ZS+99FJGjBiR/v3754gjjsh1112X9evXV3HaHc/UqVM3e1vq1atXjj766CTWqalYt25dvvWtb+Woo45Kv379csYZZ+Spp56qv3y7ut+rFO6GG26oDBo0qPLb3/628uyzz1aGDRtWOeaYYyqrV6+u9mhUKpUJEyZUevfuXRk6dGj9tsWLF1cGDRpUufjiiyuzZs2q3H333ZW+fftW7r777ipOuuM5++yzK8cff3zl8ccfr/z5z3+uXHHFFZUDDzyw8sILL1RmzZpV6du3b2Xs2LGVWbNmVb73ve9V+vTpU3n44YerPfYO59RTT6184hOfqDz99NOVWbNmVc4777zKEUccUVm5cqXbUhO0Zs2aysknn1zp2bNnZdKkSZVKxX1eU/Lggw9W+vbtW3nllVcqCxYsqP+zatUq69SETJkypdKnT5/KhAkTKnPmzKl85zvfqfTu3bvyxBNPVNasWVM55phjKsOHD68899xzlV/96leVgQMHVr71rW9Ve+wdyurVqxvchhYsWFD55S9/WenVq1fl7rvvtk5NyPXXX1953/veV3nooYcqs2fPrlxyySWV9773vZVXXnllu7vfKzpsV69eXenXr1/ljjvuqN+2dOnSyoEHHlj52c9+VsXJmD9/fmXEiBGVgw8+uHLsscc2CNubbrqpcsQRR1TWrl1bv23MmDGVY445phqj7pBmz55d6dmzZ2XatGn12zZs2FAZPHhw5brrrqtcdtlllVNOOaXB3xk5cmRl2LBh7/SoO7QlS5ZURo4cWXnuuefqtz377LOVnj17Vp5++mm3pSZozJgxlTPPPLNB2FqnpuPmm2+ufOxjH9vsZdapadiwYUPlqKOOqlxzzTUNtg8bNqxy0003VX72s59V3vOe91SWLFlSf9mPfvSjSv/+/T2pUUUrVqyoHHXUUZWLLrqoUqlUrFMT8vGPf7xy9dVX13+9bNmySs+ePSu/+MUvtrv7vaJfijxjxoysWLEihx12WP22mpqa9OnTJ48//ngVJ+OZZ55Jq1at8tOf/jQHHXRQg8umTZuWgQMHpmXLlvXbDj300MyePTuLFi16p0fdIe288865+eab07dv3/ptzZo1S7NmzVJbW5tp06Y1uF0lr6/R73//+1QqlXd63B1Wp06dMmbMmPTs2TNJsnjx4owfPz7dunVLjx493JaamMcffzwTJ07MNddc02C7dWo6nnvuuey7776bvcw6NQ0vvvhi/vrXv+ZjH/tYg+233HJLRowYkWnTpuWAAw5Ip06d6i879NBDs3z58jz77LPv9Lj8fzfddFNWrVqVr33ta0linZqQXXfdNb/97W/z0ksvZf369Zk4cWJat26d3r17b3f3e0WH7fz585Mk3bt3b7C9a9eu9ZdRHR/60Idyww03ZI899tjksvnz56dbt24NtnXt2jVJMm/evHdkvh1dTU1NjjzyyLRu3bp+2y9+8YvMmTMn73//+//mGq1atSqvvfbaOz0uSS677LIcdthhuffeezNq1Ki0b9/ebakJqa2tzVe/+tVceumlm/xMsk5Nx8yZM7N48eKcccYZOfzww3P66afnd7/7XRLr1FS8+OKLSZKVK1fmnHPOyWGHHZZPfOIT+c1vfpPEOjVFG//R9Z//+Z/TuXPnJNapKbnkkkvSqlWrHH300enbt2/GjRuX66+/Pnvuued2t05Fh+2qVauSpMGD8yRp06ZNVq9eXY2R2AJ1dXWbXbMk1q1KnnjiiVx88cU55phj8sEPfnCza7Tx6zVr1lRjxB3eWWedlUmTJuX444/PF77whTzzzDNuS03Iv/7rv6Zfv36bPMuUuM9rKtatW5c///nPWbp0ac4777zcfPPNOfjggzN8+PA88sgj1qmJWL58eZLka1/7Wo4//vjceuuted/73pfPf/7z1qmJuvPOO9OxY8eceuqp9dusU9Mxa9asdOzYMTfeeGMmTpyYk08+ORdeeGGeffbZ7W6dWr71Lk1X27Ztk7z+QHvj/09eX4h27dpVayzeQtu2bTeJo403nvbt21djpB3aAw88kAsvvDD9+/fP6NGjk7x+p/bmNdr4tdtWdfTo0SNJMmrUqDz99NOZMGGC21ITMWXKlEybNi0/+9nPNnu5dWoaWrZsmalTp6ZFixb1jxne85735Pnnn88tt9xinZqIVq1aJUnOOeecnHTSSUmS/fffP9OnT89tt91mnZqgKVOm5MQTT2zwWNw6NQ3z5s3LBRdckPHjx+eQQw5JkvTt2zezZs3KDTfcsN2tU9HP2G58udeCBQsabF+wYEF22223aozEFujWrdtm1yyJdXuHTZgwIeedd16OOuqo3HTTTfX/Ste9e/fNrlH79u3TsWPHaoy6Q1q8eHHuvfferFu3rn5b8+bN06NHjyxYsMBtqYmYNGlSXn311Xzwgx9Mv3790q9fvyTJv/zLv+Tcc8+1Tk1Ihw4dGjz4TpL99tsvr7zyinVqIjae642/W2CjHj165KWXXrJOTcyMGTMyd+7cTV6tYp2ahqeffjpr165t8DtVkuSggw7KnDlztrt1Kjpse/funZ122ilTp06t31ZbW5vp06dnwIABVZyMv2fAgAH5/e9/3+CzzB599NHsvffe2XXXXas42Y7lzjvvzJVXXpkzzjgjY8eObfBSlEMOOSSPPfZYg/0fffTR9O/fP82bF323UZRFixZl5MiReeSRR+q3rV27NtOnT8++++7rttREjB49Ovfdd1+mTJlS/ydJvvSlL2XUqFHWqYl4/vnn079//waPGZLkT3/6U3r06GGdmogDDjggHTp0yNNPP91g+8yZM7PnnntmwIABmT59ev1LlpPX16lDhw7p3bv3Oz3uDm/atGnZddddNzn31qlp2Pj+2eeee67B9pkzZ+bd7373dne/V/Qj1NatW2fo0KEZPXp0fv3rX2fGjBk5//zz061btxxzzDHVHo+/4Z/+6Z+yfPnyXHLJJZk1a1YmT56c8ePHZ8SIEdUebYfx4osv5hvf+EY+/OEPZ8SIEVm0aFEWLlyYhQsXZtmyZfn0pz+dP/zhDxk9enReeOGF3Hrrrfn5z3+ec889t9qj71B69uyZD3zgA7nqqqvy+OOPZ+bMmbnoootSW1ubz3zmM25LTcRuu+2Wvfbaq8Gf5PXfRLnbbrtZpyZi3333zT777JN/+7d/y7Rp0/LCCy/k6quvzlNPPZXPfe5z1qmJaNu2bc4999zceOONueeee/KXv/wl3/3ud/O///u/OfvsszN48OB06dIlX/7ylzNjxow88MADGTt2bIYNG7bJewVpfNOnT0+vXr022W6dmoYDDzww733ve/O1r30tjz76aGbPnp3rrrsujzzySIYPH77d3e81qxT+2R3r16/P2LFjM3ny5NTV1WXAgAG5/PLL8653vavao/H/XXTRRfnrX/+aH/zgB/Xb/vCHP2TUqFGZPn16unTpkmHDhmXo0KFVnHLHctNNN2XcuHGbveykk07KNddck9/97ne59tprM3v27LzrXe/Keeedl49+9KPv8KQsW7YsY8aMyQMPPJBly5blkEMOyUUXXZT99tsvidtSU9WrV69cffXVOfnkk5NYp6Zi0aJFGTNmTB566KHU1tamT58+ufDCC+vfe2admo7bbrstEyZMyCuvvJJ999035513XgYPHpwkmTNnTq644opMmzYtnTp1yimnnJLzzjvPK4qq4LOf/Wx22mmnzT6msE5Nw9KlS3PdddflwQcfzNKlS9OzZ8+MHDkyAwcOTLJ93e8VH7YAAADs2PyTCQAAAEUTtgAAABRN2AIAAFA0YQsAAEDRhC0AAABFE7YAAAAUTdgCAABQNGELAABA0YQtALxNF1xwQXr16pVbb7212qMAwA6tWaVSqVR7CAAozbJly3LEEUdkzz33zJo1a/Lzn/88zZo1q/ZYALBD8owtALwN99xzT5LkkksuyezZs/Poo49WeSIA2HEJWwB4GyZNmpTDDjsshx56aPbaa6/86Ec/2mSfW265JUcffXQOPPDAnHbaafnNb36TXr16ZerUqfX7zJw5MyNGjEj//v3Tv3//fOELX8jcuXPfyasCAMUTtgCwlZ5//vn88Y9/zIknnpgkOfHEE/PrX/86ixYtqt/n29/+dkaPHp0hQ4bkO9/5Tg466KB8+ctfbnCcF198MaeddlpeffXVfPOb38yoUaMyd+7cnH766Xn11VffwWsEAGUTtgCwlSZNmpTOnTvnQx/6UJLkpJNOyvr163P33XcnSVauXJn//M//zBlnnJELL7wwRxxxRC6++OL6EN7o29/+dtq1a5fx48fnwx/+cIYMGZLbb789dXV1+d73vvdOXy0AKJawBYCtsHbt2vz0pz/N4MGDU1dXl9ra2nTo0CHvfe97c9ddd2XDhg156qmnUldXl2OPPbbB3z3++OMbfP3oo49m4MCBadu2bdatW5d169Zlp512yiGHHJKHH374nbxaAFC0ltUeAABK8uCDD+bVV1/N3XffXf8M7Rs99NBDWbZsWZJkl112aXDZrrvu2uDrJUuW5L777st99923yXHe/HcBgL9N2ALAVpg0aVL22GOPjBo1qsH2SqWSL37xi/nRj36Uc845J0ny6quvZp999qnfZ/HixQ3+TseOHXP44Yfn7LPP3uT7tGzpRzQAbCk/NQFgCy1cuDAPPfRQzj333AwaNGiTy4899thMnjw5l156aTp27Jhf/epXGTBgQP3lv/zlLxvsP3DgwMyaNSv7779/fchWKpVceOGF2WuvvbL//vs37hUCgO2EsAWALTRlypSsW7cuxx133GYvP/HEE/PjH/84kydPzrnnnpvrr78+7dq1y8CBA/PYY4/lhz/8YZKkefPXf8XF5z//+Zx22mkZMWJETj/99LRp0yYTJ07MAw88kOuvv/4du14AULpmlUqlUu0hAKAEQ4YMSYsWLXLPPfds9vJKpZLBgwdn7dq1+e1vf5ubb745EydOzKJFi3LQQQflwx/+cK6++upMnjw5BxxwQJLkmWeeybhx4/LEE0+kUqmkZ8+eGT58eI4++uh38qoBQNGELQBsY+vWrcs999yTQYMGpXv37vXb77jjjlx11VWZOnVqampqqjghAGxfhC0ANILjjjsurVu3zuc+97nsvPPOmTlzZq677roMHjw4V199dbXHA4DtirAFgEYwd+7cjB07NlOnTk1tbW123333fPzjH8+IESPSqlWrao8HANsVYQsAAEDRmld7AAAAAPhHCFsAAACKJmwBAAAomrAFAACgaMIWAACAoglbAAAAiiZsAQAAKJqwBQAAoGj/Dwdgn05SpZj3AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "sns.boxplot(x=titanic[\"Age\"]);"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"\\nI actually don't quite understand it. But I think the middle range is where the most data is and then the rest of it is what it's scattered.\\n\""
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "I actually don't quite understand it. But I think the Line in the middle is the mean, the two lines at the edges are the min and the max, a d the rest are the quartiles.\n",
     "\"\"\""
    ]
   },
@@ -213,22 +1285,256 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "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>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": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x122891a50>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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iIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItKB6oC7rKwMy5Ytw8SJEzF69GgsXrwYhYWFzb/Pz8/HvHnzkJWVhUsvvRSvvvqqx9+7XC48++yzmDp1KrKysrBo0SIcPXq080dCREREREREZCKqA+7bbrsNR44cwcqVK/HPf/4T4eHhmD9/Pmpra3HmzBksWLAAAwcOxNq1a3HbbbdhxYoVWLt2bfPfP//883jjjTfw0EMP4c0334TL5cLChQvhdDo1PTAiIiIiIiIiIwWrSVxZWYkBAwZgyZIlGDZsGADgl7/8Ja699locOnQI27ZtQ0hICB588EEEBwcjOTm5OTi/7rrr4HQ6sXr1atx9992YPn06AODpp5/G1KlTsWnTJlx99dWaHyARERERERGREVS1cMfExODJJ59sDrbLy8uxZs0aJCYmIiUlBTt37sT48eMRHHw+jp84cSKKi4tRWlqK/fv3o7q6GpMmTWr+fXR0NNLS0rBjxw6NDomIiIiIiIjIeKpauFv63e9+h7fffhuhoaF44YUXEBkZiZKSkuZg3K1Pnz4AgBMnTqCkpAQA0K9fvzZp3L/zh6IoqKmp8fvv9VRbW+vxbzInlpM1sJysgeVkDSwna2A5WQPLyRpYTuZnpTJSFAU2m81nOr8D7ptuugk//vGP8frrr+O2227DG2+8AYfDgdDQUI90YWFhAIC6urrmE9demsrKSn+zgvr6euTn5/v9912huLjY6CyQAMvJGlhO1sBysgaWkzWwnKyB5WQNLCfzs0oZtY5r2+N3wJ2SkgIAeOSRR7B371689tprCA8PbzP5WV1dHQAgMjIS4eHhAACn09n83+40ERER/mYFISEhzfkxm9raWhQXF2Pw4MGdOkbSF8vJGlhO1sBysgaWkzWwnKyB5WQNLCfzs1IZFRQUiNKpCrjLy8uxbds2/OhHP2oep22325GSkoJTp04hMTERp06d8vgb9//37dsXDQ0NzT8bOHCgR5rU1FQ1WfFgs9kQGRnp9993hYiICNPnkVhOVsFysgaWkzWwnKyB5WQNLCdrYDmZnxXKSNKdHFA5aVppaSnuuusubNu2rfln9fX1yMvLQ3JyMsaNG4ddu3ahsbGx+fdff/01kpKSEB8fj+HDhyMqKgrbt29v/n1VVRXy8vIwbtw4NVkhIiIiIiIiMjVVAfewYcNwySWX4OGHH8aOHTtw8OBB3HvvvaiqqsL8+fNx3XXX4dy5c7j//vtRUFCAdevWYc2aNViyZAmApj7u8+bNw4oVK/DZZ59h//79uPPOO5GYmIgZM2bocoBERERERERERlA9hvupp57Ck08+iTvvvBNnz57F2LFj8frrr6N///4AgFWrVuGRRx7BnDlz0Lt3b9xzzz2YM2dO898vXboUDQ0NWL58ORwOB8aNG4eXXnoJISEh2h0VERERERERkcFUB9w9e/bEAw88gAceeKDd32dmZuKtt97q8O+DgoKwbNkyLFu2TO2uiYiIiIiIiCxDVZdyIiIiIiIiIpJhwE1ERERERESkAwbcRERERERERDpgwE1ERERERESkAwbcRERERERERDpgwE1ERERERESkAwbcRERERERERDpgwE1ERERERESkg2CjM0DU3TW6FOQdLkN5lQNx0eFIGxKPILvN6Gx1ivSY9Dp2PbZr9DHpwUp5tQKeT2MZff6N3j8Zp9GlYF9ROfYV18AVXo4xIyJM+X4wev9E3RUDbiIDbc0+jpXrc1BW6Wj+WXxMOBbPzsDkzP4G5sx/0mPS69j12K7Rx6QHK+XVCng+jWX0+Td6/2Sc1mW/dms54mP2me79YPT+ibozdiknMsjW7ON47JUdHi8/ACirdOCxV3Zga/Zxg3LmP+kx6XXsemzX6GPSg5XyagU8n8Yy+vwbvX8yjlXeD0bvn6i7Y8BNZIBGl4KV63O8pvn7hlw0upQuylHnSY/J2eDS5dj1OKdGH5MeAvHaMxLPp7GMPv9G75+MY5X3A69RIuMx4CYyQN7hsjY1za2VVtQi73BZF+Wo86TH9OGWIl2OXY9zavQx6SEQrz0j8Xway+jzb/T+yThWeT/wGiUyHgNuIgOUV3l/+alNZwbSvJ4oq9Z0e2rTq9mu0cekh0C89ozE82kso8+/0fsn41jl/cBrlMh4DLiJDBAXHa5pOjOQ5rVffA9Nt6c2vZrtGn1MegjEa89IPJ/GMvr8G71/Mo5V3g+8RomMx4CbyABpQ+IRH+P95ZYQG4G0IfFdlKPOkx7TzClJuhy7HufU6GPSQyBee0bi+TSW0eff6P2TcazyfuA1SmQ8BtxEBgiy27B4dobXNIuuTbfU+pjSYwoNtuty7HqcU6OPSQ+BeO0ZiefTWEaff6P3T8axyvuB1yiR8RhwExlkcmZ/3HfTuDY1zwmxEbjvpnGWXBdTekx6Hbse2+38MYV3aXk2uhTkFJRi8+7vkFNQ2u7Ms4F47RmJ59NYRp9/Pfff6FKwr6gcOcU12FdUzpmkTcbod57W+SQifQQbnQGi7mxyZn9MSO+HvMNlKK9yIC46HGlD4i1d0yw9Jr2OXY/tqtmmonh+ELu68AN5a/ZxrFyf4zEjbXxMOBbPzmjzQRWI156ReD6NZfT512P/re/ntVvLER+zr937mYzjLvvd+cewb38RRg5PwpgRA7rsnac2n3xGEXU9BtxEBguy25CRkmB0NjQlPSa9jl2P7fra5tbs43jslR1tfl5eVYfHXtmheytCR/svq3R0uP9AvPaMxPNpLKPPv5b79+d+JuME2W0YmRQHu+MkRiTFdRjEBtI1SkRy7FJORNRJjS4FK9fneE3z9w25unUHNXr/RKQd3s9ERIGFATcRUSflHS7z6MbdntKKWuQdLgvI/RORdng/ExEFFgbcRESdVF7l/eNYbTqr7Z+ItMP7mYgosDDgJiLqpLho72ucqk1ntf0TkXZ4PxMRBRYG3EREnZQ2JL7NciutJcRGIG1IfEDun4i0w/uZiCiwMOAmIuqkILsNi2dneE2z6Np03ZZfMXr/RKQd3s9ERIGFATcRkQYmZ/bHfTeNa9MylRAb0SVL+Bi9fyLSDu9nIqLAwXW4iUhzjS4FeYfLUF7lQFx0ONKGxHeL1pjJmf0xIb2fYcdu9P5JH5L7yQz3nBnyoDUjj8l9P+/OP4Z9+4swcngSxowYYPlzSkTU3TDgJiJNbc0+jpXrczyWtYmPCcfi2RndolUmyG5DRkpCt90/aUtyP5nhnjNDHrRmhmMKstswMikOdsdJjEiKY7BNRGRB7FJORJrZmn0cj72yo80asmWVDjz2yg5szT5uUM6IrEdyP5nhnjNDHrQWiMdERETGYMBNRJpodClYuT7Ha5q/b8hFo0vpohwRWZfsfsrB397N9pFG33suEO/7QDwmIiIyDgNuItJE3uGyNq1BrZVW1CLvcFkX5Yi00uhSkFNQis27v0NOQWm3CTSMPG7Z/eRAeVWdjzT63nOBeN8H4jFR4LLS89lKeSXSEsdwE5Emyqu8f6CqTUfmYIZxrEYw+ri1vE/0vOcC8b4PxGOiwGT0c0oNK+WVSGts4SYiTcRFh/tOpCIdGa+7jmM1w3FreZ/oec8F4n0fiMdEgccMzykpK+WVSA8MuIlIE2lD4tusGdtaQmwE0obEd1GOqDO66zhWsxy37H4KR1x0mI80+t5zgXjfB+IxUWAxy3NKwkp5JdILA24i0kSQ3YbFszO8pll0bTqXtbGI7jqO1SzHLbufMrBkTqaPNPrec4F43wfiMVFgMctzSsJKeSXSCwNuogBk1MQkkzP7476bxrVpHUqIjcB9N43jOK0uoFXZm30cq17XuJmOW3I/dZQmukcofnPj2C655/y5780+eZJZnmXOBhfe33oEH+w4g/e3HoGzwdUl+yVzM9NzSqs8mCGvRHrhpGlEAcboiUkmZ/bHhPR+yDtchvIqB+Kiw5E2JJ6tQV1Ay7I38zhWPa9x6fEcL63u1H6kJPfT5Mz+cCkKXlibjapqJwCgqtqJVe/lwm63me6+N/oZJWX0s+zljblYv7kQ7rqIbw4dxGsfHcTsaclYMCu9S/JA5mTm57O/eTBDXon0whZuogBilolJguw2ZKQkYNqYC5CRksBguwtoXfZpQ+LRMzLEa5qekaFdPo5V72tcMn4XAN74eL9p7qet2cfxp1d3Ngfbbma8783yjJIy6ln28sZcrPv8fLDt5lKAdZ8X4uWNuV2SDzInK80zYKW8EumFATdRgODEJN2XXmVvtiulK65xyfhdrfalBSvd91bKq5GcDS6s31zoNc36zYXsXt6NWWmeASvllUgvDLiJAgQnJum+9Cj7vMNlOFdT7zXN2Rpnl15PXXWNT87sj5/9KNVnOjPcT1a6762UVyN9uKWoTct2ay6lKR11X2aZZ0DCSnkl0gPHcBMFCE5M0n3pUfZmvJ66Mk/9E6K6bF+dYcZy6mwezJBXI50ok80PIE1HgcvoeQbUsFJeibSmOuCuqKjAU089hc8//xznzp1Damoqfv3rX2Ps2LEAgG3btuGJJ55AYWEh+vXrhzvuuANXXXVV89/X1dXh8ccfx0cffQSHw4FLL70U999/P+Li4rQ7KqJuiBOTdF96lL0Zr6euzJMZj78z+zc6n2ryYIa8GqlffA9N01Fgc88zYAVWyiuRllR3Kb/rrrvw7bff4qmnnsLatWsxYsQI3HLLLTh8+DAKCwuxZMkSTJ06FevWrcP111+Pe+65B9u2bWv++wceeABfffUVnnvuObzyyis4fPgwli5dqulBEXVHnJik+9Kj7M14PXVlnsx4/O2xSj4Ba+XVSDOnJMFXo5/d1pSOiIjMT1XAfeTIEWzZsgUPPPAAxo4di6SkJPzud79Dnz59sHHjRrzyyitITU3FnXfeieTkZNxyyy244oorsGrVKgDAyZMnsX79eixfvhxjx45FZmYmnnrqKezYsQPffvutLgdI1F1wYpLuS4+yN+P11JV5MuPxt8cq+QSslVcjhQbbMXtastc0s6clIzSY0/AQEVmBqqd1r169sHLlSmRknH9h2mw22Gw2VFVVYefOnZg0aZLH30ycOBG7du2CoijYtWtX88/ckpKS0LdvX+zYsaMzx0FE4MQk3ZkeZW/G66kr82TG42+PVfIJWCuvRlowKx1zpye3aem224C507kONxGRlagawx0dHY1p06Z5/Ozjjz/GkSNH8Nvf/hbvvvsuEhMTPX7fp08f1NbW4syZMzh58iR69eqFsLCwNmlKSkr8PAQiaokTk3RfepS9Ga+nrsyTGY+/PVbJJ2CtvBppwax03DAzDRs+P4D9BccwPGUArp2eypZtIiKL6dQs5bt378Z9992HGTNmYPr06XA4HAgNDfVI4/5/p9OJ2traNr8HgLCwMNTV1fmdD0VRUFNT4/ff66m2ttbj32ROgVhOyf0jkdw/EgBQ5wiM4wrEctKDHmWvZptdVU5deY1b5X4yYzl1xCrn1GiXju6DIb1qMHhwHzQ4HWhwGp0jao/R9xPJsJzMz0plpCgKbDbflcV+B9yffvop7r77bowZMwYrVqwA0BQ4O52ebwL3/0dERCA8PLzN74GmmcsjIiL8zQrq6+uRn5/v9993heLiYqOzQAIsJ2tgOVkDy8kaWE7WwHKyBpaTNbCczM8qZdReY3JrfgXcr732Gh555BFcccUV+NOf/tS8o379+uHUqVMeaU+dOoXIyEj07NkTiYmJqKiogNPp9MjcqVOn0LdvX3+yAgAICQlBSkqK33+vp9raWhQXF2Pw4MGdqlQgfbGcrIHlZA0sJ2tgOVkDy8kaWE7WwHIyPyuVUUFBgSid6oD7jTfewEMPPYQbb7wR999/v0cz+tixY/HNN994pP/6668xZswY2O12XHTRRXC5XNi1a1fz5GpFRUU4efIkxo0bpzYrzWw2GyIjI/3++64QERFh+jwSy8kqWE7WwHKyBpaTNbCcrIHlZA0sJ/OzQhlJupMDKmcpLyoqwqOPPorLL78cS5YsQWlpKU6fPo3Tp0/j7NmzuPHGG5GdnY0VK1agsLAQq1evxkcffYSFCxcCAPr27YurrroKy5cvx/bt25GdnY277roL48ePR1ZWluqDJCIiIiIiIjIrVS3cH3/8Merr6/HJJ5/gk08+8fjdnDlz8Pjjj+P555/HE088gVdeeQUXXHABnnjiCY+lwh566CE8+uijuP322wEAl1xyCZYvX67BoRARERERERGZh6qA+xe/+AV+8YtfeE1zySWX4JJLLunw95GRkXj44Yfx8MMPq9k1ERERERERkaVwMUciIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItIBA24iIiIiIiIiHTDgJiIiIiIiItJBsNEZICKiwNHoUrCvqBz7imvgCi/HmBERCLLb2k2Xd7gM5VUOxEWHI21IfLvpiKR4TXVfLHsiMjMG3EREpImt2cexcn0OyiodAIC1W8sRH7MPi2dnYHJm/w7TAUB8THibdERSvKa6L5Y9EZkdu5QTEVGnbc0+jsde2eHx0QsAZZUOPPbKDmzNPq4qHZEUr6nui2VPRFbAgJuIiDql0aVg5focr2n+viEXzgaXKF2jS9EyexTApNcer6nAw7InIqtgwE1ERJ2Sd7isTQtTa6UVtfhwS5EoXd7hMi2zRwFMeu3xmgo8LHsisgoG3ERE1CnlVd4/et1OlFVruj0i6bXCayrwsOyJyCo4aRoREXVKXHS4KF2/+B6abq+70GMGZuls8mYnvVZ4TQUef8qes5kTkREYcJuAmhcAXxZE2jH6fjJ6/1pJGxKP+Jhwr907E2IjMHNKEt7dXOAzXdqQeL/zEijn1E2PGZils8lbgfTa68w1Reaktuw5mzkRGYUBt8HUvAD4siDSjtH3k9H711KQ3YbFszPw2Cs7Okyz6Np0hAbbRen8DZAD6ZwC52dgbs09A/N9N41TfVx6bNNI0mvPypUu1D41ZR9o1z0RWQvHcBtIzXIWXPqCSDtG309G799IkzP7476bxiE+xrM7aEJsRKc+egPtnOoxA3Ogzuqs1zVF5icp+0C97onIOtjCbRDpC2BCej8AEKdlLT6Rd2ruPT3uJ6P3rwe1xzQ5sz8mpPfTrOt3IJ5TNTMwZ6QkGLZNs9D6mjJKe0MiyLvJmf0xNi0RH24pwomyavSL74GZU5IQGtzUphTI1z0RWQMDboOoXc6CLwsibRj98WX0/vXgzzEF2W2aHV8gnlM9ZmAO9FmdtbymjNDRkIibZg5DNPsjdqi98/bu5oLmoSSBft0TkfnxEW4QNS8AviyItGP0/WT0/vVg9DEZvX896DH7Nmf0Ni9vQyKeejMbeUdrDcqZuUmGkvC6JyKjMeA2iJoXAF8WRNox+n4yev96MPqYjN6/HtwzMHujdvZtPbZJnScZEvHRrgq4OMbYg3QoScrAXvA1ssBuA1IHx2mYOyKi8xhwG0TNhw8/koi0Y/T9ZPT+9WD0MRm9fz24Z2D2Ru3s23pskzpPMiSiqqYR+UfOdFGOrEE6lGTTtmL4qqtwKcCB4nINc0dEdB4DboOo+fDhRxKRdoy+n/zdf6NLQU5BKTbv/g45BaUdzqgrTaclq55Ts9Nj9m3O6G0+0qEOFWfrdM6JtUjP24myak23R0SkFidNM5D7w6f1ZB8JsRFYdG26x4ePmrRm0d5sq1b74KXA1PH9FI5F1+q/ZrPa+1m6vrSR61CrPSatnw96PiOledXjmafH7NvuWZ03fH4A+wuOYXjKAFw7PbV5VueWrPQct1JeW5IOdYjtGaZzTrqGVuUkPW/94ntouj0iIrUYcBtMzceUlZY9MfLDn0hKUTxbf7tyjKT0fnZPCtSae1Igd6ukNJ2e3Me0O/8Y9u0vwsjhSRgzYkC7xyR9Pqj5ONfjGWmGyg6tZ99unddvDh3E+1v/a6oKHLWslNfW3EMivHWPjgi1QXEpaHQppnznS2lZTpLzlhAbgZlTkvDu5gKf6aw05ISIrIVdyk3A/TE1bcwFyEhJ8PoyVZPWKJJZQ4mM5L5Gy6s8u2iWV9V16TXq636WTgrkbHCJ0nVV9/KRSXHIGByJkUlxHVYgSJ4PW7OP45aHN+G3L2zBitd34bcvbMEtD2/yWj5aPiOlebXSM687H5NZSYZE1DoVPLRmt8/r38y0LifpUJLQYHtADjkhIutgwE2akgYIXfHhT9QeK12j0kmBPtxSJF6H2khqzr3RQZQVKzt86c7HZIa8etPR2PrWrFKJ0Jpe5SSdk4BzFxCRkdilnDQlDRDyDpdp2kWSSMpK12igTQokPfc5haWij/MJ6f10a5XSo7LD6OupOx+TGfLqi3tIRG5BKR7/xw6cq6nvMK3e17/W9Cwn6VASKw3LI6LAwoCbNCX9oDf6w5+6Lytdo4E2KZD0nOYWlBoeRAVaZYeaPATiMZkhrxJBdhvsdpvXYBuwTiWCm97lJJ3nQOv5EIiIJNilnDQl/aA3+sOfui8rXaPS9aVnTkmyxDrU0nMq7VSqZxAVaJUdavIQiMdkhrxKBVolAhCY5UREJMWAmzQlDRCM/vCn7stK12igTQokPfeZybIWKD0/zgOtsgPo3sdkhrxKBWJwGojlREQkxYCbNCUNEIz+8PdXo0tBTkEpNu/+DjkFpV06EY+R+w4kVrtGA2lSIOm5T09JMPzjPNAqO4DufUxmyKtUIAangVhORERSHMNNmnN/+LdeazMhNgKLrk03xYe/P4xc59XKa8yakdWu0UCaFEh67hfPzmh3XXG3rvg4l+Z1cmZ/TBjZF9v3nWyzjQkj+5rqelJzTFa5R6yUVwl3cGr09a+1QCsnIiIpm6Iolm4my8lpmsk2I8N7zalRampqkJ+fjxEjRiAyMtLo7HSpRpdi6g//lnyVk3uJoo7o2YJo5L7NRuv7yUrXqJVIykly7turaDLi49xXXl/emIt1nxd2+Pdzpydjwaz0rsiqWKNLwe78Y9i3vwgjhydhzIgB7V77VrpHrJRXCbNc/1oLtHJy687fe1bCcjI/K5WRNA5lCzfpJlBmA5WuH6rHEi1G7rs7CJRr1Iok594sLfbe8upscGH95o6DbQBYv7kQN8xMQ2iweUZxBdltGJkUB7vjJEYkxXV4Tq10j1gprxLu619SMWIlgVZORES+MOAm8sHIdV4DaY1ZqwvUVhmjSM+n2T/OP9xSBF/TKbiUpnTXTkvumkxRwJBWjJAMn+NEZAQG3EQ+GLlEi5mWh+nOHyocQ68tM55Pf69v6ZrV0nSd0Z3vUSthORnDjM8dIuoeGHAT+WDkEi1mWR5G7YdKIH1QdjSGvqzSgcde2dGtxtBrwYznszMf4tI1q6Xp/LU1+zj+9m42yqvqmn8WFx2GJXMyeX2aCIM+Y5jxuUNE3Yd5BpQRmZSRS7SYYXkY94dK667t7g+VrdnH26S/5eFN+O0LW7Di9V347QtbcMvDm9qkswLpGHou0SZjxvOp9vpubeaUJPiqS7LbmtLpxX0MLYNtACivqhMdA3WNzl5r5B8zPneIqHthwE3kg5Hrhxq9dmmjS8Ff3tnjNc1f3tnb/KESaB+UasbQU5NGl4J9ReXIKa7BvqJyj49Ys51PLT7EQ4PtmO1jbPbsacm6TZjW6FLwnIp7lPTT6FKQU1CKzbu/Q05Bqcc59/da83Y/kYzZnjtE1P2wSzmRgJHrhxq575zCUpytqfea5myNEzmFpchITgi4GdXNNIbeClp3l127tRzxMfuau8ua7XxqNSmhe8mv9ZsLPSZQs9uagm09lwTLLSjFOcE9mltQilHDeuuWj+7OV1dxf641X/cTyZjtuUNE3Q8DbiIhI5coMmrfuQWl4nRBNlvAzahuljH0ViAZI2m286nlh/iCWem4YWYaPtxShBNl1egX3wMzpyTpvhRYdqHsHs0uZMCtF8m1X9/gEm3Lfa1xzLF2zPbcIaLup1NfAn/7299w4403evwsPz8f8+bNQ1ZWFi699FK8+uqrHr93uVx49tlnMXXqVGRlZWHRokU4evRoZ7JB1GXcSxRNG3MBMlISurSl1oh9SzsvKgjMVgQzjKG3Aml32dTBcaY6n1p/iIcG23HttGT8Ym4mrtWxG3lL0qeANfqUWI/02o+NChNtLy46nGOONcbnOBEZze+vgddffx3PPPOMx8/OnDmDBQsWYODAgVi7di1uu+02rFixAmvXrm1O8/zzz+ONN97AQw89hDfffBMulwsLFy6E0+n0+yCISB+ZybKW6MzkhIBsRTB6DL1VSLvLHiguN9X5DIQP8XRhbxFpOlJHeu0rNoivNY451haf40RkNNUB98mTJ/GLX/wCK1aswODBgz1+9/bbbyMkJAQPPvggkpOTcd1112H+/PlYuXIlAMDpdGL16tVYunQppk+fjuHDh+Ppp59GSUkJNm3apMkBEZF20lMSEBUZ4jVNz8hQpKckBETw0h73GPrWx5YQG8Fund9T07vBTOczED7EM5IT0FNwj2YIK89IHem1X3m2TnytBWJvIaOZ6blDRN2P6jHc+/btQ0hICN577z389a9/xbFjx5p/t3PnTowfPx7Bwec3O3HiRPztb39DaWkpjh8/jurqakyaNKn599HR0UhLS8OOHTtw9dVXd/JwiEhLQXYb7rg+q92xhG63Xz+qOSBZPDvDa1qzBy8dMXL8vhWo7d1gpvNp5KSEWgiy23C7inuUtKXm2s9ISRBda4HYW8gMzPTcIaLuRXXAfemll+LSSy9t93clJSUYNmyYx8/69OkDADhx4gRKSkoAAP369WuTxv07fyiKgpqaGr//Xk+1tbUe/yZzYjl1LCslFnf9JBMvv78fZ86eH/oRFx2K+VcOR1ZKbPP950675oMDHmsCx8eE4aaZqR5p/WFkOblcChx1DjiddXDUAbU1NbDzQw0AkJQYgbjosDbrQLcUHxOGpMQIj/JP7h+J5P6RAIA6h3H3XlZKLP5y18XIP3IGFWfrENszDCMG9YLdbjPtu6WlDu+76DDcdGXH9x2fe52n9tqXXGv+3k9SLpfS7v67itH71+u5w/vJGlhO5melMlIUBTab7+eXprOUOxwOhIaGevwsLKxpopC6urrmE9demsrKSr/3W19fj/z8fL//visUFxcbnQUSYDm1L9oO3HFVbxw5XYdztS5ERdgxqHcY7PZy5OeXt0l7+5UJorQul9JOOt8Prq4up7yjtfhoVwWqahqbfxYdGYQrLopF2oURfm/X3+M3o8tGReHtLzsOEH6YGYUDB/Z3YY7UswOICwHgAA4cOGl0dlRRc9+1xude5/hz7fu61vS6n/R6llll/12B95M1sJzMzypl1DqubY+mAXd4eHibyc/q6ppeGJGRkQgPb+r+5HQ6m//bnSYiwv8HbUhICFJSUvz+ez3V1taiuLgYgwcP7tQxkr5YTjIjNUy7fd/JNi1ycdFhmH9lKiaM7Nvu3xhRTtv3ncTbX2a3+XlVTSPe/rIMd/0ks8P8+tqu2uM3syrXSQAdT+J0wYABGDFC/+PSo/XM6G2qSavmHrXCc8/lUrCvqBx5ReUAbBiZ1AtpSXGmqpgaMQK4YEDb+9nds6f1/SwpT7XblNDrWWaV/evNCvcTsZyswEplVFBQIEqnacCdmJiIU6dOefzM/f99+/ZFQ0ND888GDhzokSY1NdXv/dpsNkRGRvr9910hIiLC9HkkllNX2Zp9HE+92fbDq7yqDk+9me1zEpuuKqdGl4JXPjzoNc2rHx3CJRcNVjUOsLPHbzZ6nSe1tmYfbzM+Nj4mHItnZ/h9Po3eph77b82sz72t2cfx3Dt7cK6mvvln6zYXoWdkCG6/PstU98gPxiXhkosG+xwfrKY83dvcnX8M+/YXYeTwJIwZMcCve8joe9To/Xcls95P5InlZH5WKCNJd3Kgk+twtzZu3Djs2rULjY3nuwp9/fXXSEpKQnx8PIYPH46oqChs3769+fdVVVXIy8vDuHHjtMwKEQk1uhTkFJRi8+7vkFNQqvvarlZaY1aP5XmsdPxSZljGaGv2cTz2yo42+SirdOCxV3Zga/Zxy21Tj/1bhfvYWwbbbmdr6k15/EF2GzJSEjBtzAXISEloN9hWW55BdhtGJsUhY3AkRibF+R2MGn2PGr1/IiIjadrCfd1112HVqlW4//77sXDhQmRnZ2PNmjX44x//CKCpj/u8efOwYsUKxMXFYcCAAXjiiSeQmJiIGTNmaJkVIhLoitaz1tR8eGUYvHawP8vzNLoUr61cVjp+KaOXMZJWYkxI7ycOWIzeJgDV+/d17VlFo0vB395t2wOktb9vyLHM8etxPalh9D2qx7OU1OM5JTKGpgF3fHw8Vq1ahUceeQRz5sxB7969cc8992DOnDnNaZYuXYqGhgYsX74cDocD48aNw0svvYSQEO/riJK++BDuftytLa25W1v06tZs9IefGmqX59mafRx/eze7zbjsJXMym89lVx+/t3tbq/ve6GWM9KjEMHqbAFTt34jKM700XZMdTxjmVlrhsMzxG13R5s89qub54CutP89SM5enFfGcEhmnUwH3448/3uZnmZmZeOuttzr8m6CgICxbtgzLli3rzK5JQ3wIdz96t7Z4+/gyOjhTI21IPHpGhuBsO91a3XpGhiJtSHyHFRjlVXUeFRhdefze7m0Amt33qYPjYLcB3nrB221N6fRQWiFbOkSaDtCnYkSvbRpVeaaXQDx+oysa04bEIz4m3GvQnxAbgbQh8QC0n2dAzf6tUJ5dQcuGEJ5TImNp2sJN1sOHcPekZ2uLr48vtR9+/tDyQ6W+weXz940uBc+9s8drur+8sxcT0vv5ffxqj8nXvd0ef+/7A8XlXoNtoCkYP1BcrkvrXVW103ciFekAIKZnmOp0vspIzTaDhBOxxEaF4ek3d3tNo2dXZT2oqWyK6RmGZ/5P3fE7G1z4cEsRTpRVo198D8yckoTQ4M5PaWNkRaOvay/IbsPi2Rkd3vsAsOjadATZbaq+C6RppfsH1A+lMIPG72fT31dcA1d4OcaMiOhU/tRUePgqe6OHM5A5sCersRhwd2N8CHdferW2SD++pB9+/tCyx0ZOYSkczkavaRzOBmz8srDdyZ1aOlvjRG5BKUYN6636+NV+fOUUluK5t/d4zY83au97vVvvfH0oREf5XgNTTToAsAnnrHOnk5SRmm2mJfvuXWGzAfuKSgNuToC0IfGIiw7z2a08ITYcNkVd1/uXN+Zi/eZCjwqi1RtzMXtaMhbMSvc7z0ZWNGr5zNNznoHJmf1x303j2uQ1ITYCi65Nx+TM/sgpsN713Hoo0dqt5YiLzvUYSqR2e2oqPHyVvdHDGch47MlqPE1nKSdr4ayh3ZcerS1qZt92f3jFx3huPyE2olO9KrSe1Tm3oFSUbnvuCVG67MKm7ak5frWzWt/y8Cb87sWtOFfrvQLAG7X3vZ6td+5j+u0LW7Di9V347QtbcMvDmzyOOyFGtk6nNB0AVJzzPYbYnU5aRmq2CQC+4nNFAf5vk/elltxKK+Xd6Y0WZLdhyZxMn+kWXZshPqflVQ68vDEX6z4vbNMbw6UA6z4vxMsbc/3Jrqj83S283vhT0Si99qS9cHIK5QGvP98QkzP746XlM/DorVNw9w0X4dFbp2DV/ZcbNsdFZ7nPf+vKIfdQIrXvHDXvUWnZW+2ckra682oXZsIW7m6MD+Huy5/WFq1n356c2R8T0vtp1sWp0aXgL8Ju3dJ9aL0wl6Kc36Lk+NW0Nm3PPeG11VwtNfe9Xq130pYePfYvrRxQ06VbTcVE3uEyn70m1Kg6J+9ObwbuSqnW63ADTfMm3H79qOYWUYnoyFCs31zoNc36zYW4YWaaqu7lap47WlPzfMgtKBX1wsk+dFq07/IqB1yK7AnZurLHvXxae6w0x4eaoUTSd470PZpTWCoueyudU9IWe7KaBwPubowP4e5LzXg+QNYdyZ8KHG8fXmrlFJZ67X4LNH1Q5hSWImtob9E2M5MT8PanvlsQByZGI7/4jM90PSM9uzT7On7px1duge+PL7XU3PdqrycJtR8KWu9fGsQrNnmXZjUVA1/tOSbOq0R0D3l3erNwV0rlFpQiu7AUNgDpKQnISD6/xrX0nBaXVInmGfhwSxGunZYszqP0ubP30GnNP3zVVHK6e9f4cvqMrCdEXHQ4Cr6rEKWtOCvrhQDoV3mnB2klhnsokYT0PZqrout92pB4REWGeM2re/LPQKf1WHuz43AC82CX8m7M/WLzxiwvtu6orMKBG//wAebe8x5u/MMHKKto/6HZ6FKQU1CKzbu/Q05BKRp9fVV+T9qtWdodyegKHGn3b2k6oOnjPirS+5KFPSNDMWKQbPbt2CjZpFlu0o+vbEE3UDX8ue+1Hiagtruq1vuXdgE+IzzvpRW1qroVa32fJMTKu9N3xNngwobNhXhxXTY2bC6E08eEgloIstswalhv3DhzBObNHIGsob3bnQzMm0XXpqOktFq0v+Onz6nKn/R58vnOo5oP4VJTySkNKXr3ihB/F5ytkfWakKYD5OVphiBpb4GsN4A0HSB/P0p7X7mvEePPlvHcw5MeXL0La7eW48HVu9oMTwo07MlqHmzh7sb0aBUibVx370Y4689/zFacq8f8hz5GaIgdax+f1fzzzk6E4atbs5pWxpSBvUTHJk2nVkOj7OO/ZTrJzL53XJ/l9R65/fpR6BHuPSh3UxtESdNrfYe2vu+ls5u6r6fd+cewb38RRg5PwpgRA/x6hviz1JfWwxQkkzxt8NFN2c09Q7pkm4BsSTopLVqv9JpsTAuSc7pX2FVa7c0kDXxqnQ2idGo+fNVUcsb0DMNbgt46mUN7I+WCWNF3gU04k740nZv0HjFaqbA3gDQdIG/hl/a+cg9PkfTCCORWzu66Io/RDSF0HgPubs4qL7bupHWw3ZKz3oXZ97yHhxZPRmV1Hf706s42adS+QLx1a1bTynj4WKXPfQHApm3FqrpsStU4ZIGJO520ssJ9j7SchbZ12j3Cj3lF5ce89OMrPSVB9DHtTt9y+R1f973aSp0guw0jk+Jgd5zEiKQ4v4Ndf5f60nKYAuA7iI8SdtVumU5aMSAN5my2pgnU9OKebKw192RjAEwRdHs7p8MG9sIHW4t9bmeYygpBaeCTlhSPr3NLfKZT8+Grtvu1rwqcnpGhzd31Jd8F0mPPTFZ/P2pdeaYHaa8RNb1LpA0h6SkJmg9PCdRWzu48jtlKQzQCHQNussSLrbsoq3B0GGy7NTYq+O0LW+CreLR4gajpjnSiTNZlU5pOLZuwacoGdevMAk33yNi0xA7X7pV251bb7Vv68ZWR7Pvjq2dkCH5z4zikp5wf/+rrvjeyVUCPpb785S2IPyesGGidTjJ+Xzppmq9guzOtV84Gly6TjXW1Pr0iNU3n5h524mt87FUXD8GGLwo1/fBV20vtdkFvHXdayXeB9NjT/awA07ryTGujhvbGO/8+JEqnhrQhRFr23b2VszuPY2ZPVvNgwE0AzP9i6y5+9fS/xWl9DdXW4gWi5kXdL76HKK00nVr9e0eJ0iUm9FBd291eK++7mwuaW3kPHikX7fvgkXL8cOyForRuWn183X59VpuJe7zd90a3Cuix1JcepJORqZ20TFrZNSa1D3YfOKXZ9lr7cEuRLpONaU2vdbAlw05mjB/Ybg8At8vHX4jQYDumjR7gNd0lWf1V30sdPx/Cseja9nvrSNK6j83b+0M65CZQP+b1rHCQVHioGZ6ix7VvFd19HDN7spoDA24iE6mulY3zk+rsC0TNizp1cBxWb8z1+nFutwEzpyR1Kk8dmTklSbT/Qf2iVdV2S1p5XcLx49J0rWn58SVldKuAVbrC6dGtFJBXdkkDbn9br4zuuSIh7YmhtqVHMpyi0aVg87feu+x+sec4bpiZJkr386tG+hXUKK26Obg6eBDqNc/Bi+v24szZ87044qLDsGROZrvPnUAJ5PSucJA0hEjK059Wzs7OD2Mm3b2FH2BPVjNgwE1kIj0iglFxTru1dyUvEG8fP2pe1EF2G2ZPS/bagjN7WrJu3U5Dg+0Yl9YX2/ed7DDNuLS+OCvsAlxe5RC38g7pHy3a5plz8uVxWtPq40vK31YBrZZdMVNXOG/3iF4VA9LtzpyShHc3F+hWMWF0zxVfwZmanhhqSIN4acXUh1uKdKnA6iif5VV1HQ770KNHm93u+VzvaKK0QArkANkcH3qTvhukFbKBNsGYVSpv9caerMZiwE1kIs/ceSnmP/SxJtuSvEAkHz9quiGmDooD0HHAnSpcPssfjS4FBd95n7it8FgVrpos69obGxUm/piWBty9OlGDLm0VUvNS9bZNaW3/Pz7Mw5d7vsOdPxuLvQdPeVwna7eWIz5mX7sfnpLj6fhjNgyLZ7ffeqY1X/eIXhUD0u2GBtt1rZiQ9hzRo+eK5PkkvUdzCn2vVd8yMJemlVZMSXsAqKnAMnrYB6AuOAu0QM5Ny9UZ9CSpkDXDNaU1M1XeUvfFgJvIROJjwxEaYvc5cZqErxeI2o8fX10WjX5RSz+8D5+QzabeqCioqJK1SIeHyx6l/RM8x5k7G1wdTsTW0ld7j+GFtdkeM3J3tgVFizGvAHCyvBYny2vxk/vfb/f3HX14S1u5Dhwpx5mznuVQXlWHA0fKdf84l94jeo2Rk253cmZ/zJ2e3GbZLrutqVdJZ85TaLBdl54rvipcpOdeunxc9qHTqtbBlqaVVkxJewC03F7r+6R1BZbRwz7U9i4ItECuJa1WZ9CbZLLGQJxgjOOYyWgMuIlMZu3js7wuDdaa3eY5gZrkBaLmQ2l77glRl0V/XtRajuWTtjTtL5ZNcLbvcBmyhLPLDukfgy92+156ZVC/8y3h0nWNO1qSqaOKEUkQr9WYVzX+8s5er9dTe8fT0bErXpaj0uqaUluBpLY7v7SyRbLdrdnHvS7blToozu8PykaXgrEjEvHfk+ewa/9JjxnR3QG9uwxqnY1YszEXx0ur0T+hB+bPSkdEaFCbbfqqcFFz7qXLx50qrxGlUzPvRXmVAxdnDRB3/X/r0wM+l+Vy90qS3KP1DbJ3hF6TQal55gPySgwrBXKBJpAnGLNKTwQKTAy4iUxo7eOzUFbhwK+e/jfO1tTD21xby+aNRUxUmKoAQ/qhlFsg74ap9kWt9Vg+aUtTRKjssWeDfOyXdN/u8ePSdY2/2nPMa8si4Bn0SYJ4NcFMR60C/jhb48TeQ6fF+250KaqXo9LymvKnAknanV9a2eJm1Gzy7Z3PyPAgDB8UjzGpfTwqCR5e/bXH/Al7Dp7GB1uLMWFkXyy/eaLHNn0Fkj0jQ8XnXros3PZ9vtfABtRNnBQXHa6qu6p0qXRJmf7lnb34zY1jxfnsaD++uhd7+70ewZmZArlAmdxNjUCfYMwqPREo8DDgJjKp+Nhw/OOPVwJo/8O3M12hpB812YWlmnetjIsO12UsnzQ4vuSiC/Cf3d+Jtif9mO4ZKfvoj4sOF69r/JMfjcAL6/b63Kb7/O/MLxEF8WoDyZYtrC+9l4PCY1U+89SRz3ceFe/78LFKVctRaX1N6dXSI61skdKrC2hH57PG0YjdB07hRxMHdRhst7R930k8vPprLL95orhy4OczR4jyWF7lEC8L53A2+kzTct6LiLAg1NZ1/DcRYUGqJlmSrKvuXi8d8N0afLbGidyiMr8ng/JVOSWpvIqNCvOaR7fYqDDYhYGNWQK5QJvcTYoTjDXpjpUtpC99pgsm1RpdCnIKSrF593fIKShFo68vTfJKzfl0T0qTU1yDfUXlPtMaUU6TM/tj5W8vx8Jr0nHVlCQsvCYdf7vvMr9f/NKPGunrpbzKgdTBcfD1PrLbgJSBvUQf3WrPrTs49mbRtekIscsee0Hfz7LrbuWNj/E8ZwmxEc1BnPsjxRv3R4p0XeM1G3NRVS2bsf5UeY0oiHc2uPwKJN0trA2Nnbveaxyy4ymtrFW1HJU0kFNzTfUUrpstTQdAXNniFHYVBiAew9w6nbfnnprzWets9LoyANAUdNc6G8WVA9Ju4nHR4aLnjpS7JbrRpcDhJdgGAEddIxpdChpdCp57Z4/XtH95Z6+4nMqrHOJ79P2vDmPhNd4rZ9qby8NdmdK6LNyVUy9vzPX6+63ZxwE0zXMh0agoSBsSj6jIEK/pWnapN5Kv8+M+/kAkfY8GcvC5Nfs4bnl4E377whaseH0XfvvCFtzy8KaALnfSH1u4TaC71qTqRc359DUpjb/b1Vp7+353c4Hf+5bWYqenJOCtTw/63F5cdDgOFJeLAslN24p1G8snmRhls6B1GwAqWizh5WscbZDdhmmjB3jt/n1JVtOM1tJA8nipfF3jg0fPiFuDhwyIEW2zvUqZxPhIHCk5K85Xa72iZS1iFWfrVC1HpUcr75ETspb8IyeqMCa1jyittLLF3WovIQ1OW6bTcjKur/b6nrsAaKpASkuSBVPRUaHiVra8w2U+z6nP/fUIxW3/M6r5WfrhliKf3b+V79MN7hctarmuEC4JqKaF92xNPWKiwlRNBiWpTPFVKeQeouBujfcl73AZRg3tLa7ANZLRk3+aQXeeYCxQZ9In4zHgNhhvbm3ptUSJkeWkx76lAWJGcgKiIkO8flC6WyW+2iP78PZ3eRwpX8Gxmm6QLfkaR7v5W+/H/8We4/j5VSPFgWT/hB7Yc/C0z3QxwjGsQNO5v3rqEPSMDBFP3tTSnT8b2+Fs5L70jAxFjwhZXs9WO/GTHw0XL0e1TdjyoOaaOimcZEuaDpBf+9J0AMRjmN3ptJ6MS1oxdLy0GhePGiBKmxATIR4XrcWY34Wtggg15VRVI6vwOFvjVNVVNyoiBOdqffcIKa9yYNqYC8QT9kkqU3xVYLgrW6T1HMr3+/X2zAHOd6k3ctK0QJ2lWy21k0AGAla2kJ7YpdxAenSDbL397tRNXc351Cut1vTatzRAbHQp4lYJPZfHUcsdHE8bcwEyUhI8Xo6K8ICk6QB1H2kzpySJut7Pn5Xus5s6APxibmab5cY64j73/l6pPcKDMfRCWQt5a5ePvxDBQbJXjt1ua16Oyhv3clR6TPSjpoXdyG1KxzAnxESInycxPWWVUnHR4eifIK9Akg47SR0c1+FQjugeobhm6hD0jAxFo0vRZMxv63Ooppykjwm7Td5VN8huwzWXDBFt13383p55LWk1KVl5lQOZybKAMzM5wTKzX1sln11Bek0FCrWz7hOpwYDbQP7c3NIgWu0YFCODc632reZ86pXWzYhjasnX/qXb/XBLkbhVQjqOeeaUJPF4Zz1UnpV17ZSmA9R9pEkDyYjQIJ8f6HOnJ+PiUQPEQfzMKUmqJ29q7alfTfcr6P5iz3FxmaZ/33K0YFY65k5PbnNsdlvTsbsnF1Mzhl5KzTl1cza4sGFzIV5cl40N7YzF9mebvqg5dul9b1OAOB/d/93bnC+c4G3+rHTxsJMD3y/dNzmzP15aPgOP3joF10wdgugeoaiqduK9Lw83v9Mqz9WJKqZ8HUdLasopXdjKmf79BIS+5oNw+9/LUtHTx5jnlnmXvnO0mpQsLjoc6SkJonHZ6SkJlpn92t98qpkLhsyJlS2kJ3YpN5Beyyip7YJstrHJ/u7b6CVK9Fjuyp9jkuxful013b+lM3qHBtvF3UX1oMeHn9ptpg6KA9Bxd/6m33c8li66RyhunZuJi7Oauui6g3hvQwTcrcFa3CdP/Wo6qh0NePqNnSgpq0FkeDDyi8943V5pRS3sdpuoO3tGi5azBbPSccPMNK9rVqtZmklKzTkFZEt9qd2mhJpjl5b9+i8KccZHhZN7mxGhQRh6YQwOHa3sMO3QC2MQERrk94R9Z2uaguzWyiod+NM/dmLudO/n1Jv2rovQYDvGpfX1OhncuLS+CA22IyM5QdU1Le2qG2S34fbrs0TlquadI5m/w27z3q3cHegH2W24w0ceb79+FILsNsvMfu1PPtXMBUPmZZVKIbImtnAbSM1YUumsmWq7IBs5G6c/+/ZWi6/mYalXWq3Pp9oXgHT/enX/lrbgdJwuvMMx6Vq1IKQOjvPZDdT2fTopNa2Mau/Rlq18d99wER69dQpefeCK5mDbTdoarNVHRY/wYCy/eSL+suxSXDVF1v218mwdbr8+y2sa9wd6S6HBdlw7LRm/mJuJazsISNW0HkpJz6l7qa/Wl6R7qa+XN+aq3qYa0mOXlv3O/JMQTkCNRpeC8irvwfmZs05V3b/d6RpdCvYePO1zFvAv9hzHb34+tsPnidrrotGloOC7jisQAKDwWBUaXQqC7DZcPn6g17SXj7/Q45qWdtV1l2vr3gYt8672nSOZhdpXD5yWlRQd5TE+xvNZ7s/s10b0vFObz+48o3mg0aOnFJEbW7gNVO+STUxT1+AST+Sgpgty2pB4wyaI8GdyCl+1+GprprVOmzo4Dosf/UTVMfniHvPoa+Ko1MFxqs5pysBeov1fNmEQ3t1coKq2f3Jmf4xNS/TaIummtPqqd3kZIqGmBcHbGpr5gsl+lO/TjRrW20fKJmpaGXMK5Gubuyfl8TZhW0uS1mA9WprUBFIZKQmYOz25TWuw3db0od+ZFiE9JvrxdU6lS33dMDOt+W8k5aSW5NglzxMpf9850muvvee9t+0fPXm2w+eJ2utC7TFJJ0z05zqcnNkfmUNi8NEXexATl4jEhJjmvPs7yZNkFurUQXHiWaql51fN7NdG9ryT5tOf89/oUpBbUIrswlLY0DTUICM58MdHW4EePaWI3BhwG+iLXbLliTZ+4T3gAc6//NV02dN7Nk5vQY/afUu7yat5WGqd9kBxuebnU+2YR+n+Dx/z3nrj9un2I6pfQJIlzDoqz/Kquk7PEO/rQy27sFR07NmFpc0Bt7drWS29x4m5W4M7omYJMym1gVR7+3a3BqcOiuvUB7W0ckJNmXo7p/4u9eWrnPzh69glzxMpte+c0spa8Qft9twTXtO0542PD7T5WevnifS5W1opXNu8srZLZrW2221I6huOESP6ITIysvnnndm3ryBZbSWF9L6TbNcMq7dI8unPd8yzb3+L6tqG5t+/9elB9IwMwe3XZ7H7uQlMzuyvW4UwdW8MuA1UU+d7yQ+gaQIjCfdLQSIuOtyvD39ng0vUKrM1+zj+9m62R1fDuOgwLJmTicmZ/VXtW00tshpqatvdaVsfU8tATrq+c+tj9/bhr9e4dDXL3lw7LVlVq4SvD6UJ6f1UlaeaFgTJ/qVhpDudpKVFzTXamUl5JB+/vtKpWcKsZauMt21KAylAXXl6OyYAfleCaNl65s9SX2orcDpK3/rnKQN7YdO24g6fz1pP9rP30GnxpGGrNuQgLCTI53N3Qno/3PLwJk3zqbZnUdU54drm55ziKf9LK2RBvBrSigFf75yLswa0e26kQbSWzLQ0k6/jV/N+7ujdBDStp85lYM1B7wph8s09fHBfcQ1c4eUYMyIiIHoVMOA2kPTDOz4mHIXHqkTbU9PSJF3awJ1PyaRAgKz1Uk3QIa1FziksVf2idnd/3vD5AewvOIbhKQNw7fTUDrt22mwd3/T+BFK+Pvz1muCrb1yk74RAczpJbb/0Q6lHeIiqmde1HiJxx/9meU3jlq6iZ4Ve3WrdfFVgtUznK5D0p1VGEpxKWgb86U7f3v57RoZAATxmW5cGzFq3nqld6qu944nuEYJb545qMy6/o/TxMeGYNnoANn97zOv5XPVerl/j96Xe+vQgPvnmCMJDg+BwNnpNW1XtGVR09DyRXCNqlVbU4o2P9yNraG9RxUxUhPeZt1umqzgnW81Amq61jj4+t2Yfx6oN3p93bmreOa33rfU6zL72b2TPO7Wk91NMzzD86ZVvfKb7+4YcrvFsIDNV9nRXgTwBIQNuAwXZZeP1JmYMQH7xGZ+zoLpfHNLuomlD4hEVGeJ1iSD3dt2TArXmrvUDmsYlNroUnxPc/OWdvVjzhx+Jg44vhC3H2YdOd/pj/ptDB/H+1v/6NfP7hPR+qgIp6TYlM+CqHZfe0CCbP2BwYnTzf/uq7Zd+KEm7dKtttZfuP8hmQ0RYEGrrOg4QIsKCkJYULx6Tr6alI8huQ8oFMV7zmjwgus2kPG235dldVhpISlvavtpzDLmHS9vtqttecCppGagXXnctZ/xv75jaux/cefr1T8cg/0g5jpdWo39CD8yflY6I0CAA/n9QeevZM2PSYKx6L7ejzTWbMWlwh8dTVV2PP/1jJw4dPSOqvCyrdIhn5W75fE4bEi8KjtXwNWFaa+7z2+hScPhYZfM5TR0cp2omdbXe/vQg3v70YJvgsuVs+4nxkbjzZ2NxrlbW++xcbb24B5o0XUsdfXz6ese3pPad0/J+llTyqT0eX/tX+4xQu38tx4VLK0+VRgXnWnQj70hphcPj+0Tao1ANNRUOelS4mFlXDA+hjplhKImeGHAbZGv2cfxrS5Eobe9eET5fQu7fq+kuCgCNjd6329DYqGpSoHzhGr/5h8vEFQNV1bIPlZPCrp2nymsAyG9uNR/pkm61Dmcjnnp9B3btP+1zm2PTEqU9FlVN+FEl/PiTpgPkH0CtJzbqSGxUGOzCl7vaIRK+sqAoNuSrePnG9JStOBDTMwzOBhd25HW83BAA7Mg7CWeDC0F2m6gCa2xaovgald5PH2wr9plGbdf/X/14tGjfcdHhovuuPU/+3+7m/95z8DQ+2FqMCSP7YvnNE/36oPLVs6fgv96XQ3P7aGsR3v7soNc06z4vxNCBvXDxqAF+H39H271hZhoAoK5eu2DbH6UVtXjy9Z3Ysvd4u+d07IhE8bYSYiNw2fiBeHNT20qhjrif7z8cdyF25J30uB+OlJzFT+5/HzFRoaJtVVbX4ejJs6K0LXtHSQIpLSpbgPPPfDXvsY7G0Lc3x4b0mKT7l/ZAkj5z3fT4mJe+c3OLZL0JgfPvUWmPQkAeGKupcDBy0jqjcB1u43SH3gUMuA2g5kMqITYCLpfis0XC4WxATmEpgmw28Qdlo6J4beUDgNq6Rrz8Xq54UiBpgLa34DQ2ffNfr2k++eYofn7VSET1kH38SLvsHTx6BtPHXoi/CAIZtbPw+hqf+M9/HxRPBlRaUYsPtxSJKjDcAYJ0XLqRa1H3jJSVp2JTNxmXdIhExbk60f20t8B7hYhbeZVDvMSfTVE3ydbgftGi8n//q8PiazRaGExIqO363yisbEkdHCe676S27zuJh1d/jalZF4jSt/zo9dWzZ8iAWNE2V2/cJ0r34rpsTMqQda1VY+OXhQi228XLfenpyz1tl0pyn1OX4runDgD8dMYw/Pjy4dh7SHaftvbZjqMd/q5SOIb7nc8OifeXmSyrwAHUfSNISd9juQWlokq+lh++L2/MxbufF3pUDr/0Xi7mtBjOIN3/kRO+h88BTc9SqUaXIn7f6/Exr2aLcdHh4h6FgDwwVtu7IZBbGjvCdbiN0x16F3AdbgOo+ZC6ZdZI5EpnVT50WlUNXbbwQ+WgsAXneOk58Yvl1JlaUSCRW1CKKmEgfUZFC2tOYanXbtru/ecUlqqu9Wxv3eRV91+Of/77IA4dlc0O7iadkKllHjvaf8sXpHs4gTctu6pLpA2JR7CPj5WE2AhECytQznzf/Xra6LbjWlty94RwL3nkjd0mnxCp9Iys63VcdDhKpTM1q5iw7tjps+Lu93nCFpTyKgd6afyxUFpZK568SRoc5aq476S27zuJyFBZHXNsVFNPhHd99OxZ93khwsO0rbeuPOdUNfu31PbcE/jutKw11kjvfVGIpP7RPtO9+/lhAE29GKxgRIuhWb7Wa9eysuXvG3K/Xytdtr09BafF72bgfKVU6/hXgecxSYeynDh9TpROzf2h5n2vhnQInfQ9Gt0jBCkDe4l6FDobXOI1wKUVDo0uRdzS2BVronc1rsNtnO7Qu4ABdxdwfT/pyebd3yGnoFTVbKUxUWE4WS77QD9ZXq2qa6s0oKgVzqYOQDxjrSLsKJ1dWIqqalnAffSU7DzZbLbmjwVfcgtK/ar1dI93njbmAmSkJMDhbFQdbAPyCZla57H1/turtde6Hn/Zs5vR4OMlfElWf1SeFVagVDbNUP+JoCdEo0sRL6EmDQ4TYiNE4+XWby5oXpbNlwPF5Ujw8UJ3+3DbEew5cEqUNkQ4rq9nj1Dx+H2pkjPV4pfgtwdKROk+33lUdZdRiX99fViUrr7Rhfe/OixqDX5pQ3Ync9VWaUWtDq0oNpQLr30juRRgZ77v697hbED2wdPYntu2tdyMcg6eFgdSJaWyd5mEu1VIej2VCb8LsgtLmyqlfHRvf/fzpmOS9kArEz5LpENjAKh636uRW1AqqpwAmiZ69OXWuaOwaVux6D32/leHxYGxmgoHNS2NgcY9RMAbrsOtj+7Qu4ABt8627zuJZ94rwYOrd2HF67vw2xe2iCbYcSuvcqBCGKBUnK0Td7OyKUBcrOzC7Z8gm9F62IW9kJGcgPDvJyjqSHhoMPr2km3ThqaJRLQ0bFAcXMJ+lS5F0aTW8+k3dqrKo3ubM6ck6VLjmne4TPQClr5Uqx0NogqFf+/8LwqPVYi2efh4paoPBXkgLbvuhw+Og1MQnH6TdxLbcmQf/WWVtTj5/RwCEgePVojSOXwMDXE7cqIK/9npvQJDrf9s/y+2554Qpa08J6u8q3U2QGnUvgXlYLGst87nu4+Kew2cKNM+iK2qdop6oagxsG9U0ziNAPLvXUc1r0DSy7tfFIiHkmzPk91PUuVVDvF7LKFXhGibNjQFfb7uUuX7dP5MGueNmqEx0ieJ2ieOtAfSvsNluP36LK9p5k5PxsVZA8Q9oPKK5IGxmgqH7tDS6I17WF7reyUhNiJgu9KbQXfoXcCAW0dbs4/jqTezUVXj+TGspmb2eOk51NXLPijq6l2qHpbREbIXVnysrJW1z/dLSPlqbQsJtiM9WdYSnp6SgIRY2QeAVJ/YCPE44p6RoX7Veja6FOQUlDb3ajjhR4tF8oBohAbbdalx9eel2vqYWnYpk1YoVJyrx2lhD4+6+kZVHwrSiqnIiBCfrfs2ADvyZK2xAFAh7KZ++Hgljgm7TKpRV+97BlwAKCmrxv4jsqBTquJcHQ4It1kvzOewQb1UTTQkJe0GebKsGmEh3isO9eQOJrQMj6N6hKKHcLkrPQTZbfjB2As13abD2YDBgu7nZlAtnPn8RFk16jScRR5oahWSvscyh/YWbTM9JUFcKZVXVOZ1Sc2WeoTLrtGEGPl3Qabwe0Oazk16f9rQcSAX0yMUv/n52OYx2dJebRHC4THlVQ5VFQ7doaXRF8mwPNJWd+hdwEnTdKLVpCcff31E3MIcFmIXB/NV1U6cc8g+AHpEhMBug9faebvt/ERHkhZJu90mWu4qIzkBRcfUd8X2lU9pt37pZFhHSqpQ3+BCXHQ4Ks/VYdV7uR61z/4s5eGeqdrXRGgT0vsh5/ua6dioMCi2pvHPVeeciO4R2lwr2PJBpWboAeB7YpaSMnmrbe9ekcgXtDSmJcWLl+dRIJ9RvfhElahV5tB3FaLtqVFa4dC8xwYAOIWVcooCNGrcctyoeH82tE4rYYP2Qx4AICrc+3JwbvX1LgzqHw34WPFBLwkxEaJnqRrBdjumj70Q/xEusyjVI9yOaofv6+/en49DaGgQ/rOz48nK1EpLiseMiYPxk/vf12ybehl6YS8UfOf7XdYvvgcURcGeQ74rG0ND7D7v/ZatQu53Sevlvlo+yxtdivjd/G8fw33cIkKDkZmcgLc/9T5LPwBMH3shsgu9r8WutqUrPSVBtARq6yFxvmb/Tk9JwFuCY3IpTZXVE9L7dbj+vNvMKUlYvdH7RLV2G8T3clx0OGKjwkTnPjM5QdVEpYHM1zKopD3ppL9WxYBbJ1pNelJW6cCABFmNZ2xUmLgLYlRkiDhAKa90iLrCHSguF7ecVp6tw+XjB3pd3uTy8RciyG4TB70S7nxKW80TYiNElSftrVXckqRrcmvu7oXXTkvG5Mz+7b6ot+eewC0Pb/J5rbWetdQljJBcLkU0Y2lifCSOlMgmZJLu+6qLhyD/cJn4Q0E64Y1T2HrU08DWQLWk9/3HX/seH6hWWLDvj343aRCdX3QGsy4ZIvqYVSMsLASA7+deSEgQDgi7n2vN/TH71R5ZsD9tzAXYLPjwTk9JQEZyAux2m/ge9OXKyYNxy7UZ+N/7/uW190CQ3YZxIxPFxyR11cVDEBpsx9ALY/yaI8MbX5XMavSMDMGCa9J93n92W1PA1ehS8MHWYp/bffWBmXjvi0K88fH+DtNIWoVaLtUYZLfh9uuzvK6mcfv1oxBkt4mDvuljL0R6SoLPNeDDQ4Mxamhv8fKWLXlblizIbsMdwmNyk8z+nZGc4LNyAmiazf6dzw4hPiYcC69JR4yXb5rQYDtmT0v2+m00e1oyRg3trSowllY4qFlelEhr7m/d3fnHsG9/EUYOT8KYEQMC4npjl3KdaDm+JTxM1rWxb3wPVS3cI4U1lNIxr+VVDnHLac8eoaL1whtdiuZdyktKq1WNF9F6eR41vI3n2pbT/gyl7Wk9a6l0bHZuYalodtP/95OLRNsDgK/2yic5GiG8Rjd8USiucR8+OE6U7trpKaJ0ZlAvDHj1mFjWUSfrJg4AocJu2mWVNUgdJCsnNaKEw2j2HzmD7fvkQwq05P6YlXbZvGz8QNG8GRnJCXA2uDQLtoGmCShDg+2458axXtPdc+NYVcc0ZZTvlozw0ODmjzBf2x0xOA5333ARRgzuJdr/0AtjMC6tryitxO3XZyEiNAizpyV7TTd7WjJCg+2ICA3C0AtjfOaxR3gwfjojFXOnJ7dZocFuaxoX3N7SUC1bt4Hz62u73w8dj2MN9xjHOmpob5+9t0KD7Rj1fTf1YMFwM+/7b38c7csbc/E/927Eqvdy8f6WIqx6r+n/3TOkt9xmXLTnN0p8THibbUpn/3ZXTkiVVTrwp3/sxG9f2NI8p88tD29q3p7bglnpmDs9uU0FpQ1NZbpgVrqqLrjuCgdvWlY4qD3/3oabmU3j95MY5xTXYF9Ruanz2l0F2W0YmRSHjMGRGJkUFxDBNsAWbt1oO75FdrFlDu2NvQdlsxpXVcsnWIsSjneOiw4Xf8wdOVElnvBD0sVJje15J3D5xEHiWlwjJwdxj+famn28TTdAfx5Bf9+Qiwnp/cRjuk6dqRENESg8VoHIsCDUCCfvknj/q8O4sG9PUdod+SdxxaTBorSD+0bDZoPPGahXb8jRtJVLTxFhxr2QhLE+AEBxyRN/tLXIj9x4Nyixp+Zj2LXSuvUsbUi8qGtvWlK8z+eu6/vzvmajfMJOid7fT7D1z39774nwz38fxOTM/uLuqjMnDsYWHxVzDmcD8g6XIWVgL2zfd9Jr2vziclw5abDXoSwRYUHITEnAnT8bi5BgO66/d6PXbfrDPU639TrcdhvarMPta5hOSVktGl0Ktuee8Lpmc+qguOau4mrW1+6oV1Xrj9/Q0CCvPbjCvh9rnHe4TDSj9/99vB+jhvYWdb8G0OGa1Uo7a1ZLjkm6LFbL89ReN1ipjta2Th0Uh17R33m883tFh3lURHbcBTcci671XIdbMpygJWn5S9cBN4PWeV27tRzxMftMmVcKPAy4daJlkBgrnI0zLSkenwnHVJVWOMSTEp2rdorHcG/ZK+syWKJifWlJFyc13BPSSMeLaD05yB3/m4Wvc45jh4+lb9zdCzvq0u1PHOiuxJCOpxNO5o7sQ6cxIikOu/ZrtyZubmEZdu/3/iHd0usf5YnS7dh/QnRc0mXmzODrfdZYi7iiWtYaXnisChVnCzTfvz9zKXSVskoHDhwp9/jw83WZ1tU34PFXvvE5ZMXZ4MLeQ6dx7JS263C7FEW0QsGho5WodjSgR3iwqKJTWslZWlGLr4TvnGfe/tbr73tEhOK++RMQZLdhw+a2a2W358rJgzF8cBxWbchBVXXHwWTLAG3BrHTcMDOtw+7PgHzd6L2HTouDQ+kSVrkFpRg1rKlF2tc4VmkQrWZd+bc+PYi3Pj0oCtqcDS6862OptXc3F+KGmWke3ct9HZO0McC9nZbdYP+z/SC+3Kf+Pmt5jXT0znf3RGgdnCutXmgdVcBJg2gpyXAzswSyvvL6sx8NR/+EHp0+J1rxNX8AWQ8Dbp1oGSSeOSvrJp5XVNbc4uBL714RbR7SHSmtqBWP4a4SztYs5Q523cHxn9/ajRpH51pR+/eOav5vyXgRrVvY+8RF4vcLJ3VYM+82e1oyguw2n60SapVXOTBJ+BJUhM27p87UiCtRpE6fqYZdxQvm8HHZR877W474m6UuFxJsR71Flj3SWlmVbNZ5NbbmaLvcktZatshJghlnvQs78mSVUp/vPOrXXBLeHDxyBgeKZSsUPP3GTiy/eSIOHPG+Zv2BI+WIi5a9x6qqnTguXAHC12SBLYOo46XylQQSYiK8Btuttw00Vfxc66V7+d6Dsgq0f3/zX3FwKF3CKrvwfMDti5rVLtRWXEuCtve/Ouyz8lT5fs3qOcIhQv4ui+XuBrtvv39zf7Ts0SftibA994SqwNydT8lkYL5artX2BDCSbB6e8/MgGN1Cb6VeAyRn3ur+ADA5sz+uv3RIp7cjXb8yt6BUvKRH5tDe4qWxpEu3llc5EN1Dts1hF/ZSvebe5Mz+WPOHmRCuLtKh+d93L3PzNV5EMlZKDXdXfl9jVFMHxYlaJdSK6RmG3ftlQw+Ol8omIqqrc+KUipnKJU6fqYbiVzt+YOgTG4qQYNZoa+lstfZBvNbe/bwQzgYXTp3R9n4656jHBX1kQzSkIkKDcaJUls8TpTXiFslQH2PSm/cfHixeRknCHURJe/Yoiv8BmjeHjsqGPRw+USFKV1pRq2oJKyk1S0hJ5k1pz9835HY4zlbNsmRSnV0WKyrC/8/q8iqHuCeCtHeDP2OUJWPY1fQEMJraeXhaj9XvStL5A8h6GHDrbO60IYgI7dxHszTAVHB+1kxv3Et6xAonOOvTS7YsWVx0uHiCsz5xkX6tuRcRGoQ5Piae8WbCyL6IEH7MtdTRJCL+qDhXJ64d/lY4Jl+NxnoXVm3IFqUtPCZrPfr2QKmqsbwS5xwuHD6mbRdYKymrcqK2k705yJPGyxvrQkFTi1y+1uuQKy5UntO2wuHi0RdAUaRL0rnELZIbv5QNJ/hm3wlkCSuZJdxBlHSi0vCwIPEqGmpW26hzyoZe1AonLCw/62iz5FVHpOkAqJp81N+Ka29Bm3Qtamk6oGlonK8GWfcQuvYM6h3WZmI2qZieYeKeCJ/vPKpLwCv9NpEurWrkHDidzYO/FRb+kp57TvRmTYYE3C6XC88++yymTp2KrKwsLFq0CEeParc2p5nY7TaMSupcDfyE9H6idJnJCaJZM92zUSbEyILjzO+Xn/DG/VJV8wJWOxOmm3sGz/ZmZZ0w0vvMspeOHej1995MzuyPl5bPwKO3TsHdN1yEn/1ouF/biYsOF9cOF+qwFvTn334nfllK1TXwBaC1Rpd/4/TJnKJ7hCD5Au8zT7vlFZUhv9h712u1bDa7vOlW6KUN2agU9hoIDwsWtzRWnJVt0+FsxIfbtJlcr2WPqqJjsp49RccqxT3AWqZzNriwYXMhXlyXjQ2bC9t09U+Mk30zSKvyi45XqqqMl1IzUzbgf8V1RwHT9LEXiv5emg5oGhonHULXHrvdhvlXpor315JNkZdprbBSRm2wKf02ka6Io/UcOP7wNw9d3UJvpV4DpJ4hAffzzz+PN954Aw899BDefPNNuFwuLFy4EE6ntuN/zSL1Av8fOD0jQzFrarLPdXbdaygC8iU9pMFxRnKCquUn1L6AWwaxj946Bavuv9znOJUFs9LxzuOzsPCadFw1JQkLr0nHm49ejYLvvH8odbZ20D3+adqYC/DTGamqPx7cH3XSl2CYcBklNRzOBlVjoyWCdOj5zM7UpLXODkfpjKiIUAwUdumOCA32OeZYrR7hIeghXBZN6nhpDaqEE+GFBAWJWxqlw50G9I7CuVpthty0fC+FCXtBhYUGoVJYOeBO9/LGXFzfagmr61stYfWDcbKK4XhhpXmds1FVZbwaaivOW77z//eyYaJ9dBQwjRraW7Qk3igVvSC0GCIwYWRfvyoWKs7ViXsYpCXJlsFUG2xKjz86KlT1sECj+DucAejaFno9hqeQeXR5wO10OrF69WosXboU06dPx/Dhw/H000+jpKQEmzZt6ursdInOdDG6/fpRCA22q1pDEegokJ3h8fJTExyreamqfQG3DGIzUhLEL3z3xDO/mJuJa6clo+C/Z7q8drBtq7f3mm21a+yOFLY23DxrJKaNGSBKm5YUj4wU2UuwR7jsETFqaLzmwcyoYfHoGaF9hYNV2AAMGaDtmNvubvgg2TrMeshMSVDVIqema690m2pa+rQ2Pj1RvP8Fs2Rdj+fPSsfQCztXpu29l0YOkZ37kUMSxM/yF9bubZ4os3Wdr3sJL3fQLQ0kJ2bIJlByB2fSyni11Facu9/5P/vR8E4FbUF2G+786Rivf3/nT0erqkTo7Bhut5bn5McqKhakPRGuuniILgGv9PgTYiL8GhZohM7Mw9OVLfRaXXtkTl0+S/n+/ftRXV2NSZMmNf8sOjoaaWlp2LFjB66++uquzpLu3F2MnnpTNm4WAKIiQ3DH9VnNLyy1aygCstkopUtjudNKl5TQevkJCaNqB1uf50GJ0T7Pp3Q92qsuHoK3PzvodRKVnpGhuOaSZDS6FHzx7TGvvUZtNuCqi4dgxsTB+Mn97/s8tr8uuxzzH/rYZ7p7bpqIqqo6LP7Tpz7TSt1z4wR8/u1RrFznfUxToPrrry9FbGw4fva7D4zOSsD438tS8adXd8Ch4WDumB7BqBS08s6flY7w0CBEhAWh1st69RFhQRg1tDdSB8Xh46+1m1E/XUVXYT3Mmtq06kJ4aJDX8x8eGoxxaX0xYWRfr+tru+fjWHBNOj7cVqw6Pz0jQ3DPz8chI7ltJe9VFw/By//aJ3qWuitQfb1Xqh0NPieMW99iCas7fzrG6yond/50NMamJeKV9/NE+XTT690snf269d9IlonzlreOv43CsHh2pupKBOm7WRLIus9J2pB4fLrD+4zyLce63359ltdz4m6I6ey5a4+a4w+y28Tfj0bzZ730rm6h1/LaI/Pp8oC7pKQEANCvn+e45D59+jT/Ti1FUVBTo+2MrlqprW0aK5s5JBp3/SQTaz444PFSaL2+dVRECGZOuhBzpw2B3W7zOK6slFj89ddTkX/kDCrO1iG2ZxhGDOrVJp1aWSmx+MtdF4u3m9w/Esn9myZSq3N4HwusJm1nRQo7EUSGoc1xucvJ/e/OkJ7Pm2YO81oJ8/MrhqLB6cDia0Z4TbfomuHN5/bqyYOw0cuyV1dPHoQGpwM2AMkDolF4rKrDtMkDohER6hKls7mciImywWbTbpjo/qKTSIzVtguslZScqUR8bBD6xkXgZLm+9053EB4ahOEXRuGXc0eqqvz0ZcaEgXjn34d9pssrLMHIpDjcOsf7/m+dMxJ1jlrkFWk7hnvvAeNmt501pem50wD4PP+/nJuGOkct7vpJJp54fQ927m+7RNbY4b1x108ym5+nY4f3bjedN4uuGYFhA3p0+F6SPksbANggnTjO++9dCrDh8wO4avIgZKXE4q6fZOLl9/d7LA0a1zMU868ajqyUWDQ4HfJ8thqx15XvZm/cx9n62yg+Jgw3zUxFVkqsz+8brb+NJO/m9s6Zt+8INdvs8JxEh+GmK8+fEy3OXXvU5lXN96OR3Hndc7AEBUXH0RjUA+u/7Hj+qI7KWU/+XnuBRstvcr0pigKboIunTZEuxqyRDRs24J577kF+fj7s9vPdVe+55x6cOnUKa9asUbW9nJwcS439drkUHDldh3O1LkRF2HFhfCiOljmb/39Q7zDNx9d2Fy6XgmfeK0FVTcetJ9GRQfjVNYmmOcd5R2vx0a4KjzxHRwbhiotikXZhhEe6D3eewdna8x92PSPsmDm2l0c6ANj0bQW25Z/zmHDLZgMmDY/CjNGxHmlXfnQSx8vbtp73jwvB4iv6qk4HAA+88Z3XY5a6bnIcRg6M8FmmLUVHBonTdiWbDZj3g3gcOenEycp6HPjOdw37dZOblqoDgD+/dwJnznXuuGyQTcImTqdh5Yq3fUSG2VHt6PwU+P87Nb75Xsk7WosPdpTjnOP8AUSF2zAgPgwHjztExxVsB+ZOiUdjo4K1W30Hxy3Ls737OTrCjita3M85xTWi7UpdN7lpVmU12wwNtsHZiQkRbQAmjWj73Mk7WosPd5TjbIvz39HzzOlsxCd7K1F+thFxPYNw+aiYdpcN+7/NpThwrO19FWwHWs5J1t7ztSPtPkvbOaY/vXMMtfXa3Azjh/bAlePOd5Nv/c3Q3jeCmme+WUmOsytJ3816blN6TvQ4d3ocvxmZ8TjNmCfyLjQ0FBkZ3octdHnA/fHHH2Pp0qXYu3cvwsPPj0P4f//v/8HpdOKFF15Qtb2cnBwoioKUlBSts6qJ2tpaFBcXY/DgwYiI4I2it+37TnqtHbzrJ5ntzmRuZDm5XEq7tcP+pgOAhgYXPv7mKE6W16BvXCR+NP5CBAe3Px7b4WjAc2tzcLK8Fn3jInDHdRkID2/b+UWaDgBOnarGXc9vQ32jgpAgG5765STExUXg42+OIr/4DHbk+26N+v3NF2FkUpzPMr3+0iHoFx/pcU7++99KLPv7N81p4qLsqGu0o1dUKP548ziEhwfj42+OYv+RcnyTd34Zlj/dMg4DB8a0Oc8AsCv/FP6x6SDOVtejZ48Q3DhjGEan9saBoxWoOFuH+voGrNp4APUtJrsKC7HjqV9OQkLC+aX19hWV48HVu8TH71ZTU4/HXtuN0so6JMSE4b55TWMX3T+LDAvCFVMGIj4yDJ/sOoZTZ2oBRcGwQbG4oHdU8zVQUeHAshe/Ro2jAeGhNvSOjUBldUPzNsPDg9scv8PR0GbfkZEhHebpkVd34lR5DfrEReL/zc3En97cg9LKOkSEB+GWK4fjohF94HQ24s/vZOPw8SqEBAfhsrEDcMWEgfhs97E2123Lay8iLAjTxw5AYq9IjBjUC1/sOIIX/nWow/PobhFsfd93dD+1d++4XApe+egADh+rQo+IYFw9eTAyU+Jht9v8Lk9f97N0u6kDY3Dgv75n1f79zRcBgGibc6clIT05DiMG9YLLpeDjb47iP7uO4egp38sEDrswGkn9o30+d9Q8z6Sczkb84+ODKCmrQWJ8JG780TAEB9s7tR/Js/TXz27Bd6e1ac37+cxhuGryII+fSd5Pap75JKP2GpWUkx7XvV6slFc1WpeTGY/TjHnqSlaKnQoKCmCz2cwXcGdnZ+P666/HJ598goEDz8/E+dOf/hSpqal44IEHVG0vJ6dpfKevAzVKTU0N8vPzMWLECERGytazps7Zmn1c9ZgillPXaXQpuOXhTT7HKa26//Lm8Wf+lKlZ+XP8VmPk/dToUrp07gi9ylO63b/ddxkWP/qJaP8A/M5rrbMR/3vfv3zm++3HrkaEcJbvQFF5zol5f/jQZzpfvULsNuCdx2chtFWgzPeTNbCcrIHlZH5WKiNpHNrlY7iHDx+OqKgobN++vTngrqqqQl5eHubNm9fV2aEAZMSEbSTnz0Q57jLdnX8M+/YXYeTwJIwZMcCSZarFREHUMX8mb+rs/vQoT+l21U6e5G9eI0KDxBOZdTcxUaGIjQpFxbmOh7fFRoXi0rEXYt3nHU+cNntacptgm4iIrK/Ln+yhoaGYN28eVqxYgc8++wz79+/HnXfeicTERMyYMaOrs0MByt+lxqhrqF06Dmgq05FJTeNgRybFWbpM/Tl+Mi+9ylO6XT2XbWxp+c0T2x2SAzQF28tvnqjq+ALJP/44E7FR7U/yGBsVin/8cSYWzErH3OnJaP3ostuAudOTsWBWehfklIiIulqXt3ADwNKlS9HQ0IDly5fD4XBg3LhxeOmllxAS4n3tQSIKHN29J0J3P/5Ao1d5Srfrz7KN/vQYWX7zRNQ6G7FmYy6Ol1ajf0IPzJ+V3i1btlv7xx9novKcE799/kucqapDr+gwPPrLqYhpEYgvmJWOG2am4cMtRThRVo1+8T0wc0oSW7aJiAKYIQF3UFAQli1bhmXLlhmxeyIyia7u/ms23f34A41e5Sndrpr9u3uM2B0nMUJlj5GI0CDcet0ocfruJCYqFH+954de04QG23HttOQuyhERERmNVapEREREREREOmDATURERERERKQDBtxEREREREREOmDATURERERERKQDBtxEREREREREOmDATURERERERKQDm6IoitGZ6Izdu3dDURSEhob6TmwARVFQX1+PkJAQ2GxcX9esWE7WwHKyBpaTNbCcrIHlZA0sJ2tgOZmflcrI6XTCZrNhzJgxXtMZsg63lsxeEDabzbSVAXQey8kaWE7WwHKyBpaTNbCcrIHlZA0sJ/OzUhnZbDZRLGr5Fm4iIiIiIiIiM+IYbiIiIiIiIiIdMOAmIiIiIiIi0gEDbiIiIiIiIiIdMOAmIiIiIiIi0gEDbiIiIiIiIiIdMOAmIiIiIiIi0gEDbiIiIiIiIiIdMOAmIiIiIiIi0gEDbiIiIiIiIiIdMOAmIiIiIiIi0gEDbiIiIiIiIiIdMODWkcvlwrPPPoupU6ciKysLixYtwtGjR43OFn3vb3/7G2688UaPn+Xn52PevHnIysrCpZdeildffdWg3HVvFRUV+P3vf49LLrkEY8aMwU9/+lPs3Lmz+ffbtm3D3LlzMWrUKFxxxRV4//33Dcxt91VWVoZly5Zh4sSJGD16NBYvXozCwsLm3/N+Mp+ioiKMHj0a69ata/4Zy8kcTp48idTU1Db/uMuK5WQe69evx5VXXomMjAxcddVV+PDDD5t/991332HJkiUYM2YMLr74YjzzzDNobGw0MLfdz/bt29u9l1JTU/HDH/4QAMvJLBoaGvDnP/8ZP/jBDzB69GjccMMN2LNnT/PvA+a5p5BunnvuOWXChAnKf/7zHyU/P1+5+eablRkzZih1dXVGZ63be+2115Thw4cr8+bNa/5ZeXm5MmHCBOW+++5TCgoKlH/+859KRkaG8s9//tPAnHZPCxYsUK6++mplx44dyuHDh5U//vGPSmZmplJYWKgUFBQoGRkZylNPPaUUFBQoq1atUtLS0pStW7cane1u58c//rFy/fXXK3v37lUKCgqUO+64Q7n44ouVmpoa3k8m5HQ6lblz5yrDhg1T1q5dqygKn3tm8vnnnysZGRnKyZMnlVOnTjX/U1tby3IykfXr1ytpaWnKa6+9phw5ckR5/vnnleHDhyu7d+9WnE6nMmPGDGXx4sXKgQMHlE8++UQZP3688uc//9nobHcrdXV1HvfQqVOnlE2bNimpqanKP//5T5aTiTz77LPKlClTlC+//FIpLi5W7r//fuWiiy5STp48GVDPPQbcOqmrq1NGjx6tvP76680/q6ysVDIzM5WNGzcamLPuraSkRFmyZImSlZWlXHHFFR4B94svvqhcfPHFSn19ffPPnnzySWXGjBlGZLXbKi4uVoYNG6bs3Lmz+Wcul0u57LLLlGeeeUb53e9+p/zP//yPx9/cddddys0339zVWe3WKioqlLvuuks5cOBA88/y8/OVYcOGKXv37uX9ZEJPPvmk8vOf/9wj4GY5mcfKlSuVWbNmtfs7lpM5uFwu5Qc/+IHy+OOPe/z85ptvVl588UVl48aNSnp6ulJRUdH8uzfffFMZM2YMG1sMVF1drfzgBz9Q7r33XkVRFJaTiVxzzTXKY4891vz/Z8+eVYYNG6Z8/PHHAfXcY5dynezfvx/V1dWYNGlS88+io6ORlpaGHTt2GJiz7m3fvn0ICQnBe++9h1GjRnn8bufOnRg/fjyCg4ObfzZx4kQUFxejtLS0q7PabfXq1QsrV65ERkZG889sNhtsNhuqqqqwc+dOj/sKaCqnXbt2QVGUrs5utxUTE4Mnn3wSw4YNAwCUl5djzZo1SExMREpKCu8nk9mxYwfeeustPP744x4/ZzmZx4EDB5CcnNzu71hO5lBUVIRjx45h1qxZHj9/6aWXsGTJEuzcuRMjR45ETExM8+8mTpyIc+fOIT8/v6uzS9978cUXUVtbi9/85jcAwHIykfj4ePznP//Bd999h8bGRrz11lsIDQ3F8OHDA+q5x4BbJyUlJQCAfv36efy8T58+zb+jrnfppZfiueeew4UXXtjmdyUlJUhMTPT4WZ8+fQAAJ06c6JL8UVPF1LRp0xAaGtr8s48//hhHjhzB1KlTOyyn2tpanDlzpquzSwB+97vfYdKkSXj//ffxyCOPIDIykveTiVRVVeGee+7B8uXL27yTWE7mcfDgQZSXl+OGG27A5MmT8dOf/hRffPEFAJaTWRQVFQEAampqcMstt2DSpEm4/vrr8e9//xsAy8mM3JXBv/jFLxAbGwuA5WQm999/P0JCQvDDH/4QGRkZePrpp/Hss89i4MCBAVVODLh1UltbCwAeQQMAhIWFoa6uzogskQ8Oh6Pd8gLAMjPQ7t27cd9992HGjBmYPn16u+Xk/n+n02lEFru9m266CWvXrsXVV1+N2267Dfv27eP9ZCIPPPAARo8e3aZVDuBzzywaGhpw+PBhVFZW4o477sDKlSuRlZWFxYsXY9u2bSwnkzh37hwA4De/+Q2uvvpqrF69GlOmTMEvf/lLlpNJvfHGG+jZsyd+/OMfN/+M5WQeBQUF6NmzJ/7617/irbfewty5c3H33XcjPz8/oMop2HcS8kd4eDiApgDA/d9A0wUSERFhVLbIi/Dw8DYBm/uGjoyMNCJL3d6nn36Ku+++G2PGjMGKFSsAND1sW5eT+/95bxkjJSUFAPDII49g7969eO2113g/mcT69euxc+dObNy4sd3fs5zMITg4GNu3b0dQUFDzN0N6ejoOHTqEl156ieVkEiEhIQCAW265BXPmzAEAjBgxAnl5eXj55ZdZTia0fv16zJ492+NbnOVkDidOnMCvf/1rrFmzBmPHjgUAZGRkoKCgAM8991xAlRNbuHXi7rZ36tQpj5+fOnUKffv2NSJL5ENiYmK75QWAZWaA1157DXfccQd+8IMf4MUXX2yu1ezXr1+75RQZGYmePXsakdVuqby8HO+//z4aGhqaf2a325GSkoJTp07xfjKJtWvXoqysDNOnT8fo0aMxevRoAMAf/vAHLFy4kOVkIj169PAICgBg6NChOHnyJMvJJNzn2j13hVtKSgq+++47lpPJ7N+/H0ePHm3Tu4flZA579+5FfX29x5w9ADBq1CgcOXIkoMqJAbdOhg8fjqioKGzfvr35Z1VVVcjLy8O4ceMMzBl1ZNy4cdi1a5fHOoxff/01kpKSEB8fb2DOup833ngDDz30EG644QY89dRTHl2Kxo4di2+++cYj/ddff40xY8bAbucjrauUlpbirrvuwrZt25p/Vl9fj7y8PCQnJ/N+MokVK1bggw8+wPr165v/AYClS5fikUceYTmZxKFDhzBmzBiPbwYAyM3NRUpKCsvJJEaOHIkePXpg7969Hj8/ePAgBg4ciHHjxiEvL6+56znQVE49evTA8OHDuzq73d7OnTsRHx/f5tyznMzBPT77wIEDHj8/ePAgBg8eHFDPPX6d6iQ0NBTz5s3DihUr8Nlnn2H//v248847kZiYiBkzZhidPWrHddddh3PnzuH+++9HQUEB1q1bhzVr1mDJkiVGZ61bKSoqwqOPPorLL78cS5YsQWlpKU6fPo3Tp0/j7NmzuPHGG5GdnY0VK1agsLAQq1evxkcffYSFCxcanfVuZdiwYbjkkkvw8MMPY8eOHTh48CDuvfdeVFVVYf78+byfTKJv374YNGiQxz9A08ywffv2ZTmZRHJyMoYMGYIHH3wQO3fuRGFhIR577DHs2bMHt956K8vJJMLDw7Fw4UL89a9/xb/+9S/897//xQsvvIAtW7ZgwYIFuOyyy9C7d2/86le/wv79+/Hpp5/iqaeews0339xmLCrpLy8vD6mpqW1+znIyh8zMTFx00UX4zW9+g6+//hrFxcV45plnsG3bNixevDignns2hevo6KaxsRFPPfUU1q1bB4fDgXHjxuH3v/89LrjgAqOzRgDuvfdeHDt2DP/4xz+af5adnY1HHnkEeXl56N27N26++WbMmzfPwFx2Py+++CKefvrpdn83Z84cPP744/jiiy/wxBNPoLi4GBdccAHuuOMOXHnllV2cUzp79iyefPJJfPrppzh79izGjh2Le++9F0OHDgXA+8msUlNT8dhjj2Hu3LkAWE5mUVpaiieffBJffvklqqqqkJaWhrvvvrt5bCPLyTxefvllvPbaazh58iSSk5Nxxx134LLLLgMAHDlyBH/84x+xc+dOxMTE4H/+539wxx13sAeWARYtWoSoqKh2vylYTuZQWVmJZ555Bp9//jkqKysxbNgw3HXXXRg/fjyAwHnuMeAmIiIiIiIi0gGrcYiIiIiIiIh0wICbiIiIiIiISAcMuImIiIiIiIh0wICbiIiIiIiISAcMuImIiIiIiIh0wICbiIiIiIiISAcMuImIiIiIiIh0wICbiIiIiIiISAcMuImIiIiIiIh0wICbiIiIiIiISAcMuImIiIiIiIh0wICbiIiIiIiISAf/H2uzqXLZs42WAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "# your code here\n",
+    "plt.scatter(x = titanic[\"Age\"], y = titanic[\"Fare\"])\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "# your code here\n",
+    "sns.lineplot(x = titanic[\"Age\"], y= titanic[\"Fare\"]);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/ns/rjvmq7zn3cggtjmkkj8bhfsc0000gn/T/ipykernel_21891/3136149337.py:1: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.\n",
+      "  sns.scatterplot(x = titanic[\"Age\"], y= titanic[\"Fare\"], palette=\"magma\");\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x = titanic[\"Age\"], y= titanic[\"Fare\"], palette=\"magma\");"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot(x=\"Age\",y=\"Fare\",data=titanic,kind='hex');"
    ]
   },
   {
@@ -240,11 +1546,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "plt.subplots(figsize=(10, 10))\n",
+    "sns.heatmap(int_.corr(), cmap = \"YlGnBu\", annot=True, fmt=\".2f\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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UcH0dEhIif39/nT17NityAQAAAPg/TqdTU6ZMUd26dRUaGqpu3bopLi7uusefOnVKffv21YMPPqiwsDD17t07Sy7h4HYxYVmWHA5HujU/Pz85qfwAAACALDVt2jR99NFHGjVqlBYtWiSn06muXbsqJSXlmsf36tVLx48f19y5czV37lwdP35cr7zyiu25jLaGBQAAALyW5fTOm6GUlBTNmTNHkZGRatCggSpXrqxJkyYpPj5ea9asyXB8UlKStm7dqm7duumf//ynqlSpohdffFF79uzRmTNnbuGNzShTW8POmTNHQUFBrq+vXLmiefPmKX/+/OmO69mzpz3pAAAAgDvc/v37deHCBYWHh7vW8uXLpypVqmjbtm1q3rx5uuMDAwN11113KTo6WrVr15YkffnllypXrpzy5ctnaza3i4kSJUpo5cqV6daKFi2qdevWpVtzOBwUEwAAAMDfNGrU6Ib3//3v1VfFx8dLkooXL55uPTg42HXfXwUEBOjNN9/UsGHD9MADD8jhcCg4OFgLFixQjhz2Dia5XUysX7/e1hcGAAAAsoSPndN76dIlSX8WCX+VK1eua26GZFmWYmNjVb16dXXt2lVpaWmaNGmSXn75ZX388ce27sSaqTEnAAAAAGau13m4mcDAQEl/njtx9deSlJycnO4UhKtWrlypBQsW6Ouvv3YVDjNmzNDDDz+szz77TB07djTKcS2cgA0AAAB4savjTYmJienWExMTFRISkuH47du3q1y5cuk6EPnz51e5cuV05MgRW7NRTAAAAMC3ZPeuTTbv5lS5cmXlyZNHW7Zsca0lJSVp3759qlWrVobjixUrpiNHjig5Odm1dvHiRR07dkxly5Y1znEtFBMAAACAFwsICFD79u0VFRWldevWaf/+/erdu7eKFSumxo0bKy0tTSdOnNDly5clSS1btpT057Um9u/fr/3796tPnz7KlSuXWrdubWs2igkAAADAy0VGRqpNmzYaOnSonn32Wfn5+Wn27Nny9/fX77//rjp16igmJkbSn7s8ffTRR7IsSy+88II6deokf39/ffTRR8qbN6+tuRyWZVm2PqMNUk/+L7sj+LwpNYZldwSfdtnhdT9WPqeg05HdEXxaYg5+D2e1wvweznL+2R3Ax70UtyC7I1zXpZVTsjvCNQU1jczuCLajMwEAAADACMUEAAAAACNcZwIAAAC+xccuWufN6EwAAAAAMOKVnQlODs56kTtfz+4IPi2iWqfsjuDzmgTcnd0RfFouzr/OckXSeJOzWtXAs9kdAfB5XllMAAAAAMZu4QJxyBzGnAAAAAAYoZgAAAAAYIQxJwAAAPgWdnPyGDoTAAAAAIxQTAAAAAAwwpgTAAAAfAu7OXkMnQkAAAAARigmAAAAABhhzAkAAAC+hd2cPIbOBAAAAAAjFBMAAAAAjDDmBAAAAN/Cbk4eQ2cCAAAAgBGKCQAAAABGGHMCAACAb2E3J4+hMwEAAADACMUEAAAAACOMOQEAAMC3MObkMXQmAAAAABihmAAAAABghDEnAAAA+BbLyu4Edww6EwAAAACMUEwAAAAAMMKYEwAAAHwLuzl5DJ0JAAAAAEYoJgAAAAAYcXvMadu2bW4/aa1atYzCAAAAALeMMSePcbuY6NChgxwOhyzLksPhcK1b/7f11l/XYmNjbYwIAAAAwBu5XUysW7fO9evvv/9e06ZN0+DBg1WjRg3lzJlTe/bs0RtvvKFu3bplSVAAAAAA3sXtYqJkyZKuX7/33nsaM2aMwsPDXWsREREaPny4Bg4cqJYtW9oaEgAAAHCbxZiTpxidgJ2YmKjg4OAM6/ny5dOZM2duNRMAAACA24BRMVGtWjVNnjxZFy5ccK2dOXNGEyZMUO3atW0LBwAAAMB7GV20bujQoerYsaPq1q2rsmXLyrIsHT58WIULF9aHH35od0YAAADAfezm5DFGxcQ//vEPrV69WsuXL9fPP/8sh8Ohdu3a6fHHH1dQUJDdGQEAAAB4IaNiQpLy5Mmj1q1b69ixYypVqpQkyd/f37ZgAAAAALybUTFhWZbeeustzZ8/X6mpqVq9erUmTZqkoKAgjRgxgqICAAAA2ef/roOGrGd0Avb8+fP15Zdfavjw4QoICJAkPfLII/rqq680depUWwMCAAAA8E5GxcTixYs1bNgwtW7d2nXl62bNmmn06NFatmyZrQEBAAAAeCejMadjx47pn//8Z4b1ypUr68SJE7ccCgAAADDGbk4eY9SZKFmypPbs2ZNh/dtvv3WdjA0AAADAtxl1Jrp06aKRI0fqxIkTsixL33//vRYvXqz58+dr4MCBdmcEAAAA4IWMiomnnnpKV65c0fTp03X58mUNGzZMhQoVUq9evfTss8/anREAAABwH2NOHmNUTFy4cEH/+te/9K9//UunT5+WZVkqXLiw3dkAAAAAeDGjYqJOnTpq3LixWrVqpQcffNDuTAAAAABuA0YnYA8fPlwnT55Uly5d1LBhQ02ZMkVxcXF2ZwMAAAAyz3J6580HGRUTLVu21OzZs7VhwwY9//zz2rBhgxo3bqx27drp888/tzsjAAAAAC9kVExcVaRIEXXs2FGLFi3S0KFDtX//fg0dOtSubAAAAAC8mNE5E1dt375dy5Yt06pVq5SWlqYmTZqodevWdmUDAAAAMs1yWtkd4Y5hVEy89dZbWrFiheLj41WrVi0NGjRITZo0UWBgoN35AAAAAHgpo2Ji5cqVat26tVq1aqWSJUvanQkAAADAbcComPjqq6/szgEAAADYg4vWeYzbxcTzzz+vqVOnKl++fHr++edveOy8efNuORgAAAAA7+Z2MVGyZEnlyPHn5k8lSpSQw+HIslAAAAAAvJ/bxcTYsWNdv/7Pf/6ju+66K0sCAQAAALfERy8Q542MrjNRp04dDRgwQJs3b7Y7DwAAAIDbhFExMXz4cJ08eVJdunRRw4YNNWXKFMXFxdmdDQAAAIAXM9rNqWXLlmrZsqVOnjyp5cuXa9myZZo+fbpq1Kih1q1b66mnnrI7JwAAAOAeLlrnMUadiauKFCmijh07atGiRRo6dKj279+voUOH2pUNAAAAgBcz6kxctX37di1btkyrVq1SWlqamjRpotatW9uVDQAAAIAXMyom3nrrLa1YsULx8fGqVauWBg0apCZNmigwMNDufAAAAEDmcNE6jzEqJlauXKnWrVurVatWKlmypN2ZAAAAANwGjM6ZqFixopo2bUohAQAAANzBjDoTW7duZaQJAAAA3okxJ48x6ky0atVKEyZM0M8//6yUlBS7MwEAAAC4DRh1JjZs2KCjR49q9erV17w/Njb2lkIBAAAA8H5GxUSPHj3szgEAAADYw+KidZ5iVEy0atXK7hwAAAAAbjNGxcTUqVNveH/Pnj2NwgAAAAC4fRgVE0uWLEn3dVpamk6dOqWcOXOqRo0atgQDAAAAjLCbk8cYFRPr16/PsHb+/HkNHjyYYgIAAAC4QxhtDXstefLkUWRkpObMmWPXUwIAAADwYkadies5d+6czp07Z+dTAgAAAJnjZDcnT7HtBOwLFy4oJiZGYWFhtxwKAAAAgPez5QRsSfL391d4eLh69+59y6EAAAAAeL9bPgH79OnT2rZtm4oUKaKaNWvaFgwAAAAwYrGbk6dk6gTsd999V2FhYTpy5IgkadeuXWrcuLF69eql9u3bq1OnTrp8+XKWBAUAAADgXdwuJhYvXqwZM2aobdu2Kly4sCRp0KBBCgwM1LJly/TNN9/owoULmjVrVpaFBQAAAOA93C4mPv30Uw0cOFB9+/ZVnjx5tGfPHh0+fFgdOnRQhQoVFBISoh49emjFihVZmRcAAAC4MaflnTcf5HYxcejQIUVERLi+3rx5sxwOh+rXr+9aq1Chgo4fP25vQgAAAABeKVPnTDgcDtevt2/frvz586ty5cqutQsXLigoKMi+dAAAAAC8ltu7OVWsWFE7d+5UmTJllJSUpC1btqhRo0bpjlm5cqUqVqxoe0gAAADAXZaT3Zw8xe3ORLt27fT666/rjTfeUJcuXZSSkqIXXnhBkpSQkKD3339fs2fP1tNPP51lYQEAAIA7kdPp1JQpU1S3bl2FhoaqW7duiouLu+7xqampeuutt1zHt2/fXrGxsbbncruYaNGihYYMGaIdO3ZIkiZNmqRq1apJkmbOnKm3335b3bp105NPPml7SAAAAOBONm3aNH300UcaNWqUFi1aJKfTqa5duyolJeWax48YMUJLlizRG2+8oc8//1yFChVSt27ddO7cOVtzZeqidW3atFGbNm0yrHfv3l2vvvqqChYsaFswAAAAwIiP7ZyUkpKiOXPm6LXXXlODBg0k/fkP+3Xr1tWaNWvUvHnzdMfHxcXp888/14wZM1S3bl1J0ujRo9WyZUvt3btX4eHhtmUzugL234WEhNjxNAAAAIDP+vv5xn+3bt26a67v379fFy5cSFcE5MuXT1WqVNG2bdsyFBObNm1S3rx5Va9evXTHr1+//hbSX1umdnMCAAAA4Fnx8fGSpOLFi6dbDw4Odt33V7/++qtKlSqlNWvWqHXr1oqIiFC3bt106NAh27PZ0pkAAAAAvIblnbs5Xa/zcDOXLl2SJAUEBKRbz5Url86ePZvh+PPnz+vIkSOaNm2a+vfvr3z58mn69Ol67rnnFBMTo8KFCxvluBY6EwAAAIAXCwwMlKQMJ1snJydf8xpvOXPm1Pnz5zVp0iTVqVNH1apV06RJkyRJX3zxha3ZKCYAAAAAL3Z1vCkxMTHdemJi4jXPXS5WrJhy5syp8uXLu9YCAwNVqlQpHTt2zNZsFBMAAADwLU7LO2+GKleurDx58mjLli2utaSkJO3bt0+1atXKcHytWrV05coV7dmzx7V2+fJlxcXFqUyZMsY5roVzJgAAAAAvFhAQoPbt2ysqKkqFChVSyZIlNWHCBBUrVkyNGzdWWlqaTp8+rbx58yowMFAPPPCAHnroIQ0YMECvv/66ChQooClTpsjPz8/2a8LRmQAAAAC8XGRkpNq0aaOhQ4fq2WeflZ+fn2bPni1/f3/9/vvvqlOnjmJiYlzHv/POO6pdu7Z69uypNm3a6Pz585o3b54KFSpkay6HZVled1WPt0q3z+4IPi9y5+vZHcGnRVTrlN0RfF6TgLuzO4JPy+V1fzL4nntSszuB76samHGXG9jnvv8tz+4I13VhxLPZHeGa7hrxcXZHsB2dCQAAAABGKCYAAAAAGOEEbAAAAPiWW9g5CZlDZwIAAACAEYoJAAAAAEYYcwIAAIBvsZzZneCOQWcCAAAAgBGKCQAAAABGGHMCAACAb2E3J4+hMwEAAADACMUEAAAAACOMOQEAAMCnWE52c/IUOhMAAAAAjFBMAAAAADDCmBMAAAB8C7s5eYxXFhOXHfwGyGoR1TpldwSftmn33OyO4PMqVmqV3RF82vDAqtkdweed8svuBL4v9Niu7I7g065kdwB4BcacAAAAABjxys4EAAAAYIwxJ4+hMwEAAADACMUEAAAAACOMOQEAAMC3WFy0zlPoTAAAAAAwQjEBAAAAwAhjTgAAAPAt7ObkMXQmAAAAABihmAAAAABghDEnAAAA+BSLMSePoTMBAAAAwAjFBAAAAAAjjDkBAADAtzDm5DF0JgAAAAAYoZgAAAAAYIQxJwAAAPgWpzO7E9wx6EwAAAAAMEIxAQAAAMAIY04AAADwLezm5DF0JgAAAAAYoZgAAAAAYIQxJwAAAPgWxpw8hs4EAAAAACMUEwAAAACMMOYEAAAAn2JZjDl5Cp0JAAAAAEYoJgAAAAAYYcwJAAAAvoXdnDyGzgQAAAAAIxQTAAAAAIww5gQAAADfwpiTx9CZAAAAAGCEYgIAAACAEcacAAAA4FMsxpw8xrgzcfz4cZ0/f16StHnzZr3++utavny5bcEAAAAAeDejYmLt2rVq3LixfvzxRx09elRdu3bV999/r6FDh2rhwoV2ZwQAAADghYyKiWnTpqlLly4KDw/XsmXLVKJECa1YsUJvvPGGFixYYHdGAAAAwH1OyztvPsiomDh06JDatm2rHDlyaNOmTapfv75y5Mih0NBQ/fbbb3ZnBAAAAOCFjIqJfPny6dy5czp37px2796thx56SJJ09OhRFShQwM58AAAAALyU0W5O9evX17Bhw3TXXXcpb968ioiI0HfffacRI0aoQYMGNkcEAAAAMsGZ3QHuHEadif/85z+qUaOGcufOrenTpysgIEA7duxQaGioBgwYYHdGAAAAAF7IqDMRGBiogQMHplt79dVXbQkEAAAA4PZgfJ2JZcuWKT4+XtKfuzs1b95cw4YNU3Jysm3hAAAAgMyynJZX3nyR8dawQ4YM0fHjx7Vjxw5NmTJF1atX15YtWxQVFWV3RgAAAABeyKiY+PzzzzVu3DjVqFFDq1evVmhoqEaNGqUxY8Zo1apVdmcEAAAA4IWMionExERVr15dkvTdd9+pTp06kqTixYsrKSnJvnQAAAAAvJbRCdjFihXTr7/+quTkZP3yyy+KiIiQJG3fvl3FihWzNSAAAACQKT56foI3MiomnnnmGfXq1UsBAQGqVKmSqlevroULF2r8+PGKjIy0OyMAAAAAL2RUTHTp0kXlypVTXFycWrRoIenPq2L/5z//UZs2bWwNCAAAAMA7GRUTktSwYcN0Xz/xxBO3HAYAAAC4ZVwB22OMionk5GQtXrxYBw8eVFpamms9JSVFe/fu1erVq20LCAAAAMA7GRUTo0ePVnR0tKpUqaI9e/aoevXqOnLkiE6dOqWOHTvaHBEAAACANzIqJtatW6exY8eqefPmevTRRzVq1CiVKlVKvXv3Vmpqqt0ZAQAAALf56tWmvZHRdSaSkpJUo0YNSVKFChW0b98++fv7q3v37vr6669tDQgAAADAOxkVE4UKFdKpU6ckSWXLltXBgwclSQULFtTJkyftSwcAAADAaxkVE/Xq1dPIkSP1888/q2bNmlq+fLn27NmjhQsXctE6AAAAZC+nl958kFEx0b9/fwUHB2vr1q1q1KiRypcvr6efflrz58/nonUAAADAHcLoBOx8+fJp2rRprq9nzZql2NhYFSlSRMHBwbaFAwAAAOC93C4mjh8/fsP7CxQooCtXruj48eMqUaLELQcDAAAATLCbk+e4XUw0bNhQDofjhsdYliWHw6HY2NhbDgYAAADAu7ldTMybNy8rcwAAAAC4zbhdTNSuXTvd14cPH9b58+d13333SZI+/PBD1a9fX2XLlrU1IAAAAJApPrpzkjcy2s3pu+++05NPPqm1a9e61lasWKFWrVpp+/bttoUDAAAA4L2Miom33npLHTt2VO/evV1rn3zyiTp06KCoqCjbwgEAAADwXkbFxKFDh9SmTZsM608//bQOHDhwy6EAAAAAU5bTO2++yKiYKFSokPbv359h/eeff1bevHlvORQAAAAA72d00bonn3xSI0aM0JkzZ3T//fdLkvbs2aO3335bLVu2tDMfAAAAAC9lVEy88sor+uOPP/T666/rypUrsixLOXPmVIcOHfTvf//b7owAAACA+3x0pMgbZaqYiI+P19q1a5UrVy699NJL6tevn3799VflzJlTZcuWVWBgYFblBAAAAOBl3C4mtm/frq5du+ry5cuSpNy5c2vKlCmqU6dOloUDAAAAIDmdTk2dOlWffvqpzp07p1q1amnYsGEqVarUTR+7dOlS9evXT+vWrdPdd99tay63T8CePHmywsPD9e2332rTpk2qW7eu3nzzTVvDAAAAALcqu3dtyordnKZNm6aPPvpIo0aN0qJFi+R0OtW1a1elpKTc8HG//fabXn/99Vt78Rtwu5jYt2+f+vbtq+DgYBUuXFiDBw/WoUOHdP78+SwLBwAAANzpUlJSNGfOHEVGRqpBgwaqXLmyJk2apPj4eK1Zs+a6j3M6nerXr5/uvffeLMvmdjFx8eJFFShQwPV1SEiI/P39dfbs2azIBQAAAEDS/v37deHCBYWHh7vW8uXLpypVqmjbtm3XfdyMGTOUmpqq7t27Z1k2t8+ZsCxLDocj3Zqfn5+cTk6XBwAAgBfx0r+eNmrU6Ib3r1u37prr8fHxkqTixYunWw8ODnbd93e7d+/WnDlz9NlnnykhIcEgrXuMLloHAAAAwDMuXbokSQoICEi3nitXLiUnJ2c4/uLFi3rttdf02muvqWzZslmaLVNbw86ZM0dBQUGur69cuaJ58+Ypf/786Y7r2bOnPekAAAAAH3G9zsPNXL38QkpKSrpLMSQnJ6f7u/lVo0ePVrly5fTMM8+YBc0Et4uJEiVKaOXKlenWihYtmuFNcTgcFBMAAADINre6c5K3uTrelJiYqNKlS7vWExMTValSpQzHf/755woICFD16tUlSWlpaZKk5s2b66WXXtJLL71kWza3i4n169fb9qIAAAAA3FO5cmXlyZNHW7ZscRUTSUlJ2rdvn9q3b5/h+L/v8PTjjz+qX79+mjVrlipWrGhrtkyNOQEAAADwrICAALVv315RUVEqVKiQSpYsqQkTJqhYsWJq3Lix0tLSdPr0aeXNm1eBgYEqU6ZMusdfPUm7RIkS6XZntQPFBAAAAHyKr405SVJkZKSuXLmioUOH6vLly6pVq5Zmz54tf39/HTt2TI0aNdLYsWPVunVrj+aimAAAAAC8nJ+fn/r166d+/fpluO/uu+/WgQMHrvvYsLCwG95/K9gaFgAAAIAROhMAAADwKb445uSt6EwAAAAAMEIxAQAAAMAIY04AAADwLZYjuxPcMehMAAAAADBCMQEAAADACGNOAAAA8Cns5uQ5dCYAAAAAGKGYAAAAAGCEMScAAAD4FMvJbk6eQmcCAAAAgBGKCQAAAABGGHMCAACAT2E3J8+hMwEAAADACMUEAAAAACOMOQEAAMCnWBa7OXkKnQkAAAAARigmAAAAABhhzAkAAAA+hd2cPIfOBAAAAAAjFBMAAAAAjDDmBAAAAJ9iOdnNyVPoTAAAAAAwQjEBAAAAwAhjTgAAAPAplpXdCe4cdCYAAAAAGPHKzkRBTprJck0C7s7uCD6tYqVW2R3B5x088EV2R/BpLaq/kt0RfF5pvzzZHcHnrSkYkd0RAJ/nlcUEAAAAYIrdnDyHMScAAAAARigmAAAAABhhzAkAAAA+hTEnz6EzAQAAAMAIxQQAAAAAI4w5AQAAwKdw0TrPoTMBAAAAwAjFBAAAAAAjjDkBAADAp7Cbk+fQmQAAAABghGICAAAAgBHGnAAAAOBTLIsxJ0+hMwEAAADACMUEAAAAACOMOQEAAMCnWM7sTnDnoDMBAAAAwAjFBAAAAAAjjDkBAADApzjZzclj6EwAAAAAMEIxAQAAAMAIY04AAADwKVy0znPoTAAAAAAwQjEBAAAAwAhjTgAAAPAplpMxJ0+hMwEAAADACMUEAAAAACOMOQEAAMCnWFZ2J7hz0JkAAAAAYIRiAgAAAIARxpwAAADgU9jNyXPoTAAAAAAwQjEBAAAAwAhjTgAAAPApTosxJ0+hMwEAAADACMUEAAAAACOMOQEAAMCnWIw5eQydCQAAAABGKCYAAAAAGGHMCQAAAD7FsrI7wZ2DzgQAAAAAIxQTAAAAAIwYjzlt27ZNhw4dUvPmzRUfH6+yZcsqZ06mpgAAAJC9uGid52T6b//nz59X165d9cMPP8jhcCgiIkJRUVGKi4vTnDlzFBISkhU5AQAAAHiZTI85TZw4UZK0du1aBQYGSpL69eungIAAjR8/3t50AAAAALxWpouJr7/+Wv3791epUqVca+XLl9ewYcP0/fff2xoOAAAAyCzLcnjlzRdlupg4ffq0ihYtmmE9X758unjxoi2hAAAAAHi/TBcTVatW1cqVKzOsL1y4UFWqVLElFAAAAADvl+kTsPv06aPOnTtr9+7dunLliqZPn65Dhw7pp59+0uzZs7MiIwAAAOA2LlrnOZnuTNSoUUOLFi1S7ty5VaZMGf3www8qVqyYFi5cqLCwsKzICAAAAMALGV0YonLlyuzcBAAAANzhMl1MDBo06JrrDodD/v7+KlasmJo0aaJy5crdcjgAAAAgs7honedkeswpNTVV0dHR2rhxo5KSkpSUlKTvv/9eX3zxhQ4cOKAvv/xSLVu21I4dO7IiLwAAAAAvkenORGBgoBo3bqwJEyYoICBA0p8FxuDBg5U3b14NGzZMUVFRevvttzV//nzbAwMAAADwDpnuTKxatUqvvvqqq5CQJH9/f3Xv3l3Lli2TJLVp00Y//fSTfSkBAAAAN2X3xem4aN0N5MyZUydPnsywfuLECTkcf75JaWlpypnT6NxuAAAAALeJTBcTjz32mIYNG6bvvvtOFy5c0Pnz57Vx40YNHz5cjRo10sWLFzV9+nRVrVo1K/ICAAAA8BJGuzn1799fnTt3dnUiJKlZs2YaMmSIvvvuO23dulWzZs2yNSgAAADgDnZz8hyjE7CnTJmiuLg4xcbGys/PT6VKldLixYvVsGFDbdy4Ud9++21WZAUAAADgRTI95nRVSEiILl++rNmzZ+vJJ5/Uxx9/rAcffDDdidkAAAAAbp3T6dSUKVNUt25dhYaGqlu3boqLi7vu8T///LNefPFFhYWFKTw8XJGRkTp+/LjtuTJdTBw5ckTjxo1TvXr11L9/f+3atUutW7fW6tWrNWXKFNsDAgAAAJlheentVkybNk0fffSRRo0apUWLFsnpdKpr165KSUnJcOwff/yhTp06KTAwUPPnz9d7772n06dPq2vXrkpOTr7FJOm5VUykpaVp5cqV6tixo5o0aaL58+crNDRUEyZMkJ+fnzp16qRSpUrZGgwAAACAlJKSojlz5igyMlINGjRQ5cqVNWnSJMXHx2vNmjUZjv/qq6908eJFjR8/XhUrVtR9992nCRMm6NChQ9q5c6et2dw6Z6J+/fo6d+6cHnzwQY0aNUqPPvqo8ufPL0kaOHCgrYEAAAAA/H/79+/XhQsXFB4e7lrLly+fqlSpom3btql58+bpjg8PD9e0adMUGBjoWsuR488eQlJSkq3Z3Comzp07p8KFC6tEiRIqUKCAgoKCbA0BAAAA2MVbd3Nq1KjRDe9ft27dNdfj4+MlScWLF0+3Hhwc7Lrvr+6++27dfffd6dZmzZqlwMBA1apVKzORb8qtYmLTpk2KiYnR559/ro8//lh33XWXGjVqpGbNmqXbHhYAAACAvS5duiRJGTY6ypUrl86ePXvTx8+fP18LFizQ0KFDVahQIVuzuVVM5MmTR23btlXbtm116NAhffbZZ1q2bJmWLl0qh8OhDz74QN26dVOZMmVsDQcAAAD4iut1Hm7m6rhSSkpKutGl5OTkG04MWZalyZMna/r06erRo4c6dOhg9Po3kundnMqXL68BAwZow4YNevfdd9WoUSNFR0eradOm6tq1q+0BAQAAgMywLIdX3kxdHW9KTExMt56YmKiQkJBrPiY1NVX9+vXTjBkzNGjQIPXq1cv49W8k0xetu8rPz0+NGjVSo0aNdPr0aX355ZdasmSJndkAAACAO17lypWVJ08ebdmyRaVLl5b054nU+/btU/v27a/5mP79+2vt2rV666239Pjjj2dZNuNi4q8KFSqkTp06qVOnTnY8HQAAAID/ExAQoPbt2ysqKkqFChVSyZIlNWHCBBUrVkyNGzdWWlqaTp8+rbx58yowMFBLlixRTEyM+vfvr9q1a+vEiROu57p6jF2Mr4ANAAAAeCOnl95uRWRkpNq0aaOhQ4fq2WeflZ+fn2bPni1/f3/9/vvvqlOnjmJiYiRJy5cvlySNHz9ederUSXe7eoxdbOlMAAAAAMg6fn5+6tevn/r165fhvrvvvlsHDhxwfT1nzhyP5aIzAQAAAMAInQkAAAD4FEtcB81T6EwAAAAAMEIxAQAAAMAIY04AAADwKU4ruxPcOehMAAAAADBCMQEAAADACGNOAAAA8ClOdnPyGDoTAAAAAIxQTAAAAAAwwpgTAAAAfAoXrfMcOhMAAAAAjFBMAAAAADDCmBMAAAB8ijO7A9xB6EwAAAAAMEIxAQAAAMAIY04AAADwKezm5Dl0JgAAAAAYoZgAAAAAYIQxJwAAAPgUdnPyHDoTAAAAAIxQTAAAAAAwwpgTAAAAfApjTp5DZwIAAACAEYoJAAAAAEYYcwIAAIBP4aJ1nkNnAgAAAIARigkAAAAARhhzAgAAgE9xMuXkMXQmAAAAABihmAAAAABghDEnAAAA+BQnuzl5DJ0JAAAAAEYoJgAAAAAYYcwJAAAAPsXK7gB3EDoTAAAAAIxQTAAAAAAwwpgTAAAAfIozuwPcQbyymEjMwaRbVsvFW5ylhgdWze4IPq9F9VeyO4JPW7rr3eyO4PNOt+mc3RF83t7YkOyOAPg8xpwAAAAAGPHKzgQAAABgyungonWeQmcCAAAAgBGKCQAAAABGGHMCAACAT2GfGc+hMwEAAADACMUEAAAAACOMOQEAAMCncNE6z6EzAQAAAMAIxQQAAAAAI4w5AQAAwKc4uWadx9CZAAAAAGCEYgIAAACAEcacAAAA4FOcYs7JU+hMAAAAADBCMQEAAADACGNOAAAA8ClWdge4g9CZAAAAAGCEYgIAAACAEcacAAAA4FO4aJ3n0JkAAAAAYIRiAgAAAIARxpwAAADgU5zZHeAOQmcCAAAAgBGKCQAAAABGGHMCAACAT+GidZ5DZwIAAACAEYoJAAAAAEYYcwIAAIBP4aJ1nkNnAgAAAIARigkAAAAARhhzAgAAgE/honWeQ2cCAAAAgBGKCQAAAABGGHMCAACAT2HMyXPoTAAAAAAwQjEBAAAAwIjxmNPKlSv14Ycf6uDBg/Lz81OVKlXUrVs31alTx858AAAAQKZYXLTOY4w6E5999pn69u2rEiVKqHfv3nrllVeUP39+de/eXV999ZXdGQEAAAB4IaPOxKxZs9S/f3917NjRtdaxY0e9//77mjJlih555BG78gEAAADwUkadiYSEBDVo0CDD+qOPPqojR47caiYAAADAmNNLb77IqJh44IEHFBMTk2F948aNqlmz5i2HAgAAAOD9jMacHnjgAU2fPl179+5V7dq15e/vrz179mj58uVq3bq1pk6d6jq2Z8+etoUFAAAA4D2MiolPP/1URYoU0f79+7V//37XenBwsDZu3Oj62uFwUEwAAADAo3x1pMgbGRUT69evtzsHAAAAgNvMLV+07vTp01qzZo127txpRx4AAAAAt4lMFRPvvvuuwsLCXDs27dy5U40bN1ZkZKSee+45derUSZcvX86SoAAAAIA7LC+9+SK3i4nFixdrxowZatu2rQoXLixJGjx4sAIDA7V8+XJt2LBBFy5c0KxZs7IsLAAAAADv4XYx8emnn2rgwIHq27ev8uTJoz179ujw4cPq0KGDKlSooJCQEPXo0UMrVqzIyrwAAADAHcfpdGrKlCmqW7euQkND1a1bN8XFxV33+D/++EN9+/ZVrVq1VLt2bY0cOVKXLl2yPZfbxcShQ4cUERHh+nrz5s1yOByqX7++a61ChQo6fvy4vQkBAACATHA6vPN2K6ZNm6aPPvpIo0aN0qJFi+R0OtW1a1elpKRc8/jIyEgdOXJEH3zwgSZPnqwNGzZoxIgRtxbiGjJ1zoTD8f/fhe3btyt//vyqXLmya+3ChQsKCgqyLx0AAABwh0tJSdGcOXMUGRmpBg0aqHLlypo0aZLi4+O1Zs2aDMfv2rVLW7du1bhx43TvvfcqPDxcr7/+ur788kslJCTYms3tYqJixYquHZuSkpK0ZcuWdJ0KSVq5cqUqVqxoa0AAAADgTrZ//35duHBB4eHhrrV8+fKpSpUq2rZtW4bjt2/frqJFi6p8+fKutdq1a8vhcGjHjh22ZnP7OhPt2rXT8OHDFRsbq127diklJUUvvPCCJCkhIUHLli3T7NmzNWbMGFsDAgAAAJnhrReta9So0Q3vX7du3TXX4+PjJUnFixdPtx4cHOy6768SEhIyHBsQEKACBQro999/z0zkm3K7mGjRooVSUlL08ccfK0eOHJo0aZKqVasmSZo5c6Y++eQTdevWTU8++aStAQEAAIA72dUTpwMCAtKt58qVS2fPnr3m8X8/9urxycnJtmbL1BWw27RpozZt2mRY7969u1599VUVLFjQtmAAAACAL7le5+FmAgMDJf157sTVX0tScnLyNc9XDgwMvOaJ2cnJycqdO7dRhuu5pStgx8XFad26dTp48CAXqwMAAIBXcHrpzdTVkaXExMR064mJiQoJCclwfLFixTIcm5KSojNnzig4OPgWkmRkVEycPXtWr7zyiho3bqxXXnlF3bp1U6NGjTR48GDbWycAAADAnaxy5crKkyePtmzZ4lpLSkrSvn37VKtWrQzH16pVS/Hx8Tpy5IhrbevWrZKkmjVr2prNqJgYPXq0Dh06pNmzZ2v79u3aunWrpk6dqs2bN2vcuHG2BgQAAADuZAEBAWrfvr2ioqK0bt067d+/X71791axYsXUuHFjpaWl6cSJE65Jofvvv181atRQ7969tXv3bm3evFnDhg1Ty5Ytr9nJuBVGxcT69es1evRoPfTQQ8qTJ4/y5cunhg0batSoUVwBGwAAANnK8tLbrYiMjFSbNm00dOhQPfvss/Lz89Ps2bPl7++v33//XXXq1FFMTIykP68NN3XqVN1999164YUX1KtXL9WrVy9LLlqXqROwr/L391eePHkyrBcqVEhOp7duxgUAAADcnvz8/NSvXz/169cvw3133323Dhw4kG6tcOHCmjJlSpbnMupMPP/883rjjTd0+vRp19rFixc1adIkPffcc7aFAwAAAOC93O5MNGzYUA6Hw/X1b7/9poYNG6pMmTLy8/PTr7/+quTk5GvudQsAAAB4itNx82NgD7eLiVatWqUrJgAAAADc2dwuJl599dWszAEAAADgNuN2MTF16lR16dJFQUFBmjp16nWPczgceuWVV2wJBwAAAGQW2wF5jtvFxJIlS9SuXTsFBQVpyZIl1z2OYgIAAAC4M7hdTKxfv/6avz59+rS2bdumIkWK2H5FPQAAAADeK1Nbw7777rsKCwtzXZp7165daty4sXr16qX27durU6dOrivvAQAAANkhuy9OlxUXrfNWbhcTixcv1owZM9S2bVsVLlxYkjRo0CAFBgZq2bJl+uabb3ThwgXNmjUry8ICAAAA8B5uFxOffvqpBg4cqL59+ypPnjzas2ePDh8+rA4dOqhChQoKCQlRjx49tGLFiqzMCwAAAMBLuH3OxKFDhxQREeH6evPmzXI4HKpfv75rrUKFCjp+/Li9CQEAAIBMcPrsUJH3ydQ5E3+9aN327duVP39+Va5c2bV24cIFBQUF2ZcOAAAAgNdyu5ioWLGidu7cKUlKSkrSli1b0nUqJGnlypWqWLGivQkBAAAAeCW3x5zatWun4cOHKzY2Vrt27VJKSopeeOEFSVJCQoKWLVum2bNna8yYMVkWFgAAALgZLlrnOW4XEy1atFBKSoo+/vhj5ciRQ5MmTVK1atUkSTNnztQnn3yibt266cknn8yysAAAAAC8h9vFhCS1adNGbdq0ybDevXt3vfrqqypYsKBtwQAAAAB4t0wVE9cTEhJix9MAAAAAt4y9nDwnU7s5AQAAAMBVFBMAAAAAjNgy5gQAAAB4C3Zz8hw6EwAAAACMUEwAAAAAMMKYEwAAAHyK05HdCe4cdCYAAAAAGKGYAAAAAGCEMScAAAD4FCeXrfMYOhMAAAAAjFBMAAAAADDCmBMAAAB8CkNOnkNnAgAAAIARigkAAAAARhhzAgAAgE9xZneAOwidCQAAAABGKCYAAAAAGGHMCQAAAD6Fi9Z5Dp0JAAAAAEYoJgAAAAAYYcwJAAAAPoUhJ8+hMwEAAADACMUEAAAAACOMOQEAAMCncNE6z6EzAQAAAMAIxQQAAAAAI4w5AQAAwKdw0TrPoTMBAAAAwAjFBAAAAAAjjDkBAADApzDk5Dl0JgAAAAAYoZgAAAAAYMQrx5wKOx3ZHcHnFUmjAZiVTvlldwLfV9ovT3ZH8Gmn23TO7gg+r9Bnc7I7gs/LH9onuyMgm3DROs+hMwEAAADACMUEAAAAACNeOeYEAAAAmLLYz8lj6EwAAAAAMEIxAQAAAMAIY04AAADwKezm5Dl0JgAAAAAYoZgAAAAAYIQxJwAAAPgUJ7s5eQydCQAAAABGKCYAAAAAGGHMCQAAAD6FISfPoTMBAAAAwAjFBAAAAAAjjDkBAADAp7Cbk+fQmQAAAABghGICAAAAgBHGnAAAAOBTnNkd4A5CZwIAAACAEYoJAAAAAEYYcwIAAIBPsdjNyWPoTAAAAAAwQjEBAAAAwAhjTgAAAPAp7ObkOXQmAAAAABihmAAAAABghDEnAAAA+BR2c/IcOhMAAAAAjFBMAAAAADDCmBMAAAB8Crs5eQ6dCQAAAABGKCYAAAAAGGHMCQAAAD7FabGbk6fQmQAAAABghGICAAAAgBHGnAAAAOBTGHLyHDoTAAAAAIxQTAAAAAA+IDk5WSNHjlR4eLiqV6+uvn376vTp0zd8zM6dO9WhQwfVrFlTdevW1ZAhQ3TmzBm3X9NozOn06dMaP3689u7dq8uXL8v62xnz69atM3laAAAA4JY579BBpxEjRmj79u165513FBAQoOHDhysyMlILFiy45vG//vqrunTpoqeeekojRozQH3/8oZEjR+rf//63PvzwQ7de06iY+M9//qMffvhBzZo1U/78+U2eAgAAAIBNEhISFB0drRkzZuiBBx6QJE2cOFFNmjTRrl27VL169QyPiY6OVnBwsIYMGSKHwyFJGj58uNq1a6e4uDiVKlXqpq9rVEx89913mjVrlmrVqmXycAAAAAA22rFjhyTpwQcfdK2VK1dOISEh2rZt2zWLiRYtWujhhx92FRKSXL8+e/Zs1hUTgYGBKlq0qMlDAQAAgCxleemYU6NGjW54/62cKpCQkKCCBQsqV65c6daDg4MVHx9/zceUL18+w9p7772nokWLqlKlSm69rtEJ2K1atdLs2bNNHgoAAAAgk44dO6ZKlSpd93bp0iUFBARkeFyuXLmUnJzs1muMGzdO33zzjUaMGCF/f3+3HuN2Z+L55593/frKlSvauXOnNmzYoNKlSytHjvQ1ybx589x9WgAAAOCOcCudh5CQEMXExFz3/g0bNiglJSXDenJysoKCgm743KmpqRo2bJiio6M1atQoPfLII27ncruYKFmyZLqvy5Qp4/aLAAAAAJ7izO4AWcDf3/+aY0lXHThwQGfOnFFKSkq6DkViYqJCQkKu+7jz58+rZ8+e2r59uyZOnKimTZtmKpfbxcTYsWMzrKWmprpaIAkJCTcMCgAAACBr1KxZU06nUzt27FB4eLikP7d+TUhIuO6mSSkpKerevbtiY2M1e/ZshYWFZfp1jc6ZOH36tJ5//nlNnTrVtdaqVSt17txZZ8+eNXlKAAAAAIZCQkL0+OOPa+jQodqyZYt2796tPn36qHbt2goNDZX0Z/Fw4sQJ1zjUzJkztWPHDo0aNUr33HOPTpw44bpda2TqWoyKiTFjxujSpUt6/PHHXWvvvfeezp07p3Hjxpk8JQAAAGALpyyvvGW1UaNGKTw8XD179lSXLl10zz33aMqUKa77d+3apTp16mjXrl2SpOXLl8uyLPXp00d16tRJd7t6zM04rL9fvtoNYWFh+vDDD1W5cuV063v37tWLL76o7777LrNPmc47pdrf0uNxc0XSvHPLNF9xys9x84NwS/b4ubczBcy8XvZEdkfweYU+m5PdEXzej6F9sjuCT3vgWHR2R7iup8s8md0RrunTI19mdwTbGXUm0tLSdK0axN/fX5cuXbrlUAAAAAC8n1ExUatWLU2cOFHnz593rZ0/f16TJ0/mqtgAAADIVpaX/s8XGV0Be+DAgWrXrp3q1aunsmXLSpIOHz6sAgUK6P3337czHwAAAAAvZVRMlClTRitXrtSKFSv0888/K2fOnHr22Wf1xBNPKDAw0O6MAAAAALyQUTHRs2dP9e7dW88884zdeQAAAIBb4osXrfNWRudMbN68Wbly5bI7CwAAAIDbiFEx0apVK0VFRennn392+4IWAAAAAHyL0ZjThg0bdPToUa1evfqa98fGxt5SKAAAAMCUwWXUYMiomOjRo4fdOQAAAADcZoyKiVatWtmdAwAAAMBtxqiYkKR169bp4MGDSktLc62lpKRoz549mjt3ri3hAAAAgMxy+ugF4ryRUTERFRWl999/X0WKFNGpU6cUEhKikydPKi0tTY8//rjdGQEAAAB4IaPdnJYtW6bBgwdr48aNCg4O1kcffaSNGzeqRo0aKlWqlN0ZAQAAAHgho2Li1KlTatiwoSSpUqVK2r17twoUKKDevXsrJibG1oAAAABAZji99OaLjIqJfPny6eLFi5Kk0qVL65dffpEklShRQgkJCfalAwAAAOC1jIqJsLAwRUVFKSEhQffff79WrVql06dPa/Xq1SpUqJDdGQEAAAB4IaNion///kpMTNTKlSv12GOPKSAgQBERERo/frxeeOEFuzMCAAAAbrO89H++KFO7OcXHx2vt2rUKCAjQjBkzVLBgQQUEBGjhwoXauHGjQkJCVK1atazKCgAAAMCLuF1MbN++XV27dtXly5clSblz59aUKVNUp04dBQUF6dFHH82ykAAAAAC8j9tjTpMnT1Z4eLi+/fZbbdq0SXXr1tWbb76ZldkAAACATHPK8sqbL3K7M7Fv3z4tXrxYwcHBkqTBgwerQYMGOn/+vPLkyZNlAQEAAAB4J7c7ExcvXlSBAgVcX4eEhMjf319nz57NilwAAAAAvJzbnQnLsuRwONKt+fn5yen01UtwAAAA4HZkWb45UuSNjLaGBQAAAIBMbQ07Z84cBQUFub6+cuWK5s2bp/z586c7rmfPnvakAwAAAOC13C4mSpQooZUrV6ZbK1q0qNatW5duzeFwUEwAAAAg2zCE7zluFxPr16/PyhwAAAAAbjOcMwEAAADASKbOmQAAAAC8neWjF4jzRnQmAAAAABihmAAAAABghDEnAAAA+BQnY04eQ2cCAAAAgBGKCQAAAABGGHMCAACAT7Esxpw8hc4EAAAAACMUEwAAAACMMOYEAAAAn8JuTp5DZwIAAACAEYoJAAAAAEYYcwIAAIBPsRhz8hg6EwAAAACMUEwAAAAAMMKYEwAAAHyKk4vWeQydCQAAAABGKCYAAAAAGGHMCQAAAD6FISfPoTMBAAAAwAjFBAAAAAAjjDkBAADApzgZdPIYOhMAAAAAjFBMAAAAADBCMQEAAADACOdMAAAAwKdwzoTn0JkAAAAAYIRiAgAAAIARxpwAAADgUyyLMSdPoTMBAAAAwAjFBAAAAAAjjDkBAADAp7Cbk+d4ZTHhn90B7gBVA89mdwSfFnpsV3ZH8HlrCkZkdwSftjc2JLsj+Lz8oX2yO4LPu/+HidkdAfB5jDkBAAAAMOKVnQkAAADAlMWYk8fQmQAAAABghGICAAAAgBHGnAAAAOBTuGid59CZAAAAAGCEYgIAAACAEcacAAAA4FO4aJ3n0JkAAAAAYIRiAgAAAIARxpwAAADgU9jNyXPoTAAAAAAwQjEBAAAAwAhjTgAAAPAp7ObkOXQmAAAAABihmAAAAABghDEnAAAA+BSLMSePoTMBAAAAwAjFBAAAAAAjjDkBAADApzi5aJ3H0JkAAAAAYIRiAgAAAIARxpwAAADgU9jNyXPoTAAAAAAwQjEBAAAAwAhjTgAAAPAp7ObkOXQmAAAAAB+QnJyskSNHKjw8XNWrV1ffvn11+vRptx8/ffp0VapUKVOvSTEBAAAA+IARI0Zo48aNeuedd/Thhx/qf//7nyIjI9167O7duzV16tRMvybFBAAAAHyK5aX/y0oJCQmKjo7W0KFD9cADD6hatWqaOHGitm3bpl27dt3wsRcvXlS/fv30wAMPZPp1OWcCAAAA8IBGjRrd8P5169YZP/eOHTskSQ8++KBrrVy5cgoJCdG2bdtUvXr16z52zJgxqlixoh5++GFt3rw5U69LZwIAAAC4zSUkJKhgwYLKlStXuvXg4GDFx8df93Fr1qzRhg0b9Prrrxu9Lp0JAAAA+BRv3c3pVjoPx44du2Fn49///rcCAgIyrOfKlUvJycnXfExCQoKGDRum8ePHq2DBgka5KCYAAAAALxcSEqKYmJjr3r9hwwalpKRkWE9OTlZQUFCGdcuyNHDgQDVt2lT16tUzzkUxAQAAAHg5f39/lS9f/rr3HzhwQGfOnFFKSkq6DkViYqJCQkIyHH/8+HF999132rlzp6KjoyVJV65ckSRVr15dI0eOVIsWLW6ai2ICAAAAPiWrd07yRjVr1pTT6dSOHTsUHh4uSfr111+VkJCgWrVqZTg+JCREa9asSbe2Zs0aRUVFKTo6WoULF3brdSkmAAAAgNtcSEiIHn/8cQ0dOlRvvPGGgoKCNHz4cNWuXVuhoaGSpJSUFJ09e1b58+dXQECAypQpk+45rhYQf1+/EXZzAgAAAHzAqFGjFB4erp49e6pLly665557NGXKFNf9u3btUp06dW563YnMcFiW953uPqNU++yO4PPq+J/J7gg+LfSYfT+kuLY1BSOyO4JPs+TI7gg+L7//tXdXgX3u/2Fidkfwaf5F7snuCNdVvkiN7I5wTYdO7szuCLajMwEAAADACMUEAAAAACOcgA0AAACfcifu5pRd6EwAAAAAMGJcTCQmJmrq1Knq06ePTp06pVWrVul///ufndkAAAAAeDGjYuLIkSN64okn9MUXX2jNmjW6ePGiYmJi9NRTT+nHH3+0OyMAAADgNstyeuXNFxkVE2+++aYeeeQRffXVV/L395ckTZw4UQ0bNlRUVJStAQEAAAB4J6NiYufOnerUqZMcjv+/D3nOnDn18ssva9++fbaFAwAAAOC9jHZzcjqdcjoztmouXLggPz+/Ww4FAAAAmHKym5PHGHUm6tSpo5kzZ6YrKM6cOaMJEybowQcftC0cAAAAAO9lVEwMHDhQe/fuVZ06dZScnKwePXro4Ycf1rFjxzRgwAC7MwIAAADwQkZjTiEhIYqOjtby5csVGxsrp9OpZ599Vk8++aTy5Mljd0YAAADAbZbFmJOnGBUTbdq00ejRo/X000/bnQcAAADAbcJozCkuLk65c+e2OwsAAACA24hRZ6Jr164aMmSIunTpotKlSyswMDDd/SVKlLAlHAAAAJBZ7ObkOUbFxNtvv620tDRt27Yt3bUmLMuSw+FQbGysbQEBAAAAeCejYmLu3Ll25wAAAABwmzEqJmrXrm13DgAAAMAW7ObkOUbFRHJyshYvXqyDBw8qLS3NtZ6SkqK9e/dq9erVtgUEAAAA4J2MionRo0crOjpaVapU0Z49e1S9enUdOXJEp06dUseOHW2OCAAAAMAbGRUT69at09ixY9W8eXM9+uijGjVqlEqVKqXevXsrNTXV7owAAACA25yMOXmM0XUmkpKSVKNGDUlShQoVtG/fPvn7+6t79+76+uuvbQ0IAAAAwDsZFROFChXSqVOnJElly5bVwYMHJUkFCxbUyZMn7UsHAAAAwGsZFRP16tXTyJEj9fPPP6tmzZpavny59uzZo4ULF6pYsWJ2ZwQAAADcZnnp/3yRUTHRv39/BQcHa+vWrWrUqJHKly+vp59+WvPnz1dkZKTdGQEAAAB4IbdPwB4/frx69uyp3LlzK1++fJo2bZrrvlmzZik2NlZFihRRcHBwlgQFAAAA4F3c7kzMnTtXly5dSrf24osvKjExUQ6HQ1WqVKGQAAAAQLazLMsrb77I7WLiWm/Atm3blJycbGsgAAAAALcHo3MmAAAAAMDoonUAAACAt3L66M5J3ihTnQmHw5FVOQAAAADcZjLVmRg9erRy5crl+jo1NVUTJkzQXXfdle64sWPH2pMOAAAAgNdyu5ioVauWTpw4kW6tevXq+uOPP/THH3/YHgwAAAAw4as7J3kjt4uJ+fPnZ2UOAAAAALcZdnMCAAAAYITdnAAAAOBTnIw5eQydCQAAAABGKCYAAAAAGGHMCQAAAD6F3Zw8h84EAAAAACMUEwAAAACMMOYEAAAAn+IUY06eQmcCAAAAgBGKCQAAAABGGHMCAACAT2E3J8+hMwEAAADACMUEAAAAACOMOQEAAMCnOBlz8hg6EwAAAACMUEwAAAAAMMKYEwAAAHyKxUXrPIbOBAAAAAAjFBMAAAAAjDDmBAAAAJ/Cbk6eQ2cCAAAAgBGKCQAAAABGGHMCAACAT7EYc/IYOhMAAAAAjFBMAAAAADDCmBMAAAB8Chet8xw6EwAAAACMUEwAAAAAMMKYEwAAAHwKuzl5Dp0JAAAAAEYoJgAAAAAYYcwJAAAAPoUxJ8+hMwEAAADACMUEAAAAACOMOQEAAMCnMOTkOXQmAAAAABihmAAAAABgxGFxujsAAAAAA3QmAAAAABihmAAAAABghGICAAAAgBGKCQAAAABGKCYAAAAAGKGYAAAAAGCEYgIAAACAEYoJAAAAAEYoJgAAAAAYoZgAAAAAYIRiAgAAAIARigkAAAAARigmAAAAABjx+mKiYcOGqlSpkutWuXJl1ahRQ+3bt9e2bduyO162W7JkiSpVqnTDYwYOHKgOHTrY/tpLly5V27ZtFRoaqurVq+upp57SokWLbH+dv8qq7+WqY8eOqVKlStqyZUuWvcatutWfiS1btqhSpUo6duyYB9LeGc6fP6/7779fDz30kFJTU7M7zm3nZp8lDRs21DvvvCNJeuedd9SwYcNbfs47SXb9OZrVn9feqkOHDune77/exo0bl93xANvlzO4A7ujcubM6d+4sSbIsS2fOnNHEiRPVtWtXrVy5UiVKlMjmhHeezz77TGPGjNGQIUNUs2ZNWZalTZs2afTo0Tp58qR69uyZJa87ZMgQpaWlZclz3074mfAuK1asUOHChXXixAmtXbtWzZo1y+5Itw13Pks+++wz5cqVy9bnvNPwmeFZTZs21ZAhQzKsBwUFZUMaIGvdFsVE7ty5VbRoUdfXwcHBGjlypOrVq6e1a9fqhRdeyMZ0d6aPPvpITz31lNq0aeNau+eee5SQkKB58+Zl2R/WefPmzZLnvd3wM+FdPv/8c9WtW1fHjx/XokWLKCYywZ3PkkKFCtn+nHcaPjM8KzAwMN37Dfgyrx9zup6cOf+sgwICAnT8+HH17t1b4eHhuvfee1WvXj1NmDBBTqdTkpSWlqYJEyaofv36uu+++9SkSRN9/PHHruc6deqUIiMjFRYWpmrVqumZZ57R1q1bXfenpKRowoQJqlu3rqpXr662bdtq48aNrvuXLFmiRx991PX/9913n1q3bq0dO3a4jrl06ZKGDx+usLAw1ahRQ0OGDFHfvn01cOBA1zE7d+5Uu3btVK1aNTVo0EAjR47U+fPnXfc3bNhQ48aNU7NmzRQWFpYu41WWZWnatGmqV6+eQkNDNWjQICUnJ9vwjqeXI0cO7dq1S2fPnk23/uKLL2rx4sWuvFdHE/76PVxdu/p+jR49WjVr1lSPHj3UqFEjTZgwId1joqOjFRoaqvPnz7va5pZl3fRY6c+/5DVt2lTVqlVT06ZN9eGHH7p+X0jSwYMH9fzzzys0NFSPPvqovv/+e3veoGzw15+J1NRUTZ48WQ8//LDuv/9+tW7dWps2bbrm486ePauhQ4eqbt26uvfeexUeHq6hQ4fq0qVLrmNmz56tRx55RPfdd58aNmyod999V5ZlSfrz9/aQIUMUERGhqlWrqmXLllqzZk3Wf8Ne4tChQ/rxxx8VERGhxo0ba8uWLfr1119d99vxs+/LTD9L3n33Xdd7+tprr+nMmTOZes6rzztt2jR16dJF1apV06OPPqpPP/3U5u/Qe2Xmz9G/f16//PLLkqQjR46oR48eqlmzpsLCwtSnTx+dOnXK9RqpqakaN26cHnzwQYWGhurll1/WyZMnPf/NepGbfeZu2bJFVapU0axZsxQWFqbWrVvL6XQqISFBvXv31gMPPKCwsDC99NJLOnz4cPZ+M4Bu02IiISFBr7/+unLnzq369eurR48eOnfunObOnatVq1apc+fOev/997V+/XpJf/4r1apVqzRp0iStXr1a7du314gRI7R9+3ZJ0ogRI5ScnKwFCxZo2bJlKleunF5++WVdvHhRkjRo0CBt2rRJUVFR+uKLL9S0aVO99NJL+uabb1yZfv/9dy1atEgTJkzQF198oaCgIA0cOND1F64BAwZo06ZNmjRpkhYtWqRz585pxYoVrsfv379fnTp1Ut26dbV06VJFRUXpp59+UufOnV3PIUkLFizQ0KFD9f777ys0NDTDezNr1iy9//776t+/v5YsWaJ8+fIpJibG7v8E6tq1q/bt26d69erpxRdf1KxZs7R7927lzZtX5cqVc/t5jh49qsTEREVHR6tPnz5q1aqVYmJi0n3PS5cu1SOPPKI8efK41hwOx02PXbx4scaPH6+ePXtqxYoV6tWrl9577z1FRUVJks6dO6eOHTsqb968+vTTTzVixAhNnz7dhnfH8/7+MzFmzBgtWrRIAwYM0LJly1S3bl299NJL+t///pfhsQMHDtS+ffs0depUrV69WoMGDVJ0dLTrL13r16/XzJkzNXLkSK1Zs0avvfaapk+frqVLl0qSJk+erAMHDmjWrFmKiYlRvXr11Lt37zvmnIzPPvtMuXPnVr169fToo4/K398/3Wy+XT/7vsrks+S3337T5s2bNXfuXM2YMUN79uzRoEGDjJ5z2rRpql69uqKjo9WuXTsNGzYsSz4zvU1m/xyV0n9e9+7dW0lJSWrXrp1SUlL04Ycfau7cuTp69Kh69erlesyuXbuUlJSkjz76SDNnztQPP/yg8ePHZ8N37D1u9pkr/fmPoBs2bNDixYs1ZswYXb582XX+yYIFCzR//nwVLFhQbdu2VUJCQnZ9K8CfLC/38MMPW/fee68VGhpqhYaGWvfdd59VsWJFq2nTptY333xjXbp0yZo9e7Z1/PjxdI976KGHrKlTp1qWZVmjR4+2mjdvbiUkJLju37Rpk3Xy5EnLsiyrRYsW1muvvWZdunTJsizLOnfunLVp0ybr8uXL1uHDh62KFSta+/btS/f8/fv3t9q3b29ZlmV9/vnnGY5Zu3atVbFiRSshIcE6evSoVbFiRevbb7913X/58mUrIiLCGjBggGVZlvXaa69ZPXr0SPcaVx+3efNm13vxyiuvpDvm6mtblmU5nU4rIiLCmjRpUrpjnnzySVdWO+3atcvq3bu3Vbt2batixYpWxYoVrcaNG1vbt2935Z0yZUq6x/x17Wr22NhY1/1xcXFWpUqVrK1bt1qWZVmJiYnWP//5T2vTpk2WZVnWgAEDXN/LzY6tV6+eNXfu3HSv/9lnn1lVq1a1Ll++bH388cdWaGiolZSU5Lr/6n+3q++5N7rZz8S5c+ese++911q0aFG6x7311lvWjz/+aG3evNmqWLGiFRcXZ1mWZc2fP9/av39/umOffvppa9CgQZZlWdbcuXOtiIgI69dff3Xdv23bNuu3336zLMuyevToYT3//PPW2bNnLcuyrCtXrljffvttuvfVV6WmploPPfSQ1adPH9da9+7drdq1a1uXL1+27Wff12Xms2TKlClW1apVrRMnTrgev3HjRqtixYrW4cOH3X7Oq8/bvXv3dFl69epltW3bNiu/XY+z48/Ra31eX/0MPXPmjGstNjbWioqKspKTk60BAwZYERERVlpamuv+UaNGWU2bNs3i7zh7tW/f3qpSpYrr/b5669Kli2VZN//MvfoZ/dVXX7nu/+STT6ywsDArNTXVtZaWlnbNP2cBT7stzpl45plnXBV5jhw5VKBAgXSz8+3bt9eqVau0e/duHTlyRAcOHNDJkydd7dl27drpq6++Uv369fXPf/5TERERevzxx1W4cGFJUs+ePdWvXz+tXr1aNWvWVJ06ddS8eXPlypVL+/btkyQ999xz6TKlpqYqX7586dbKly/v+vXVfKmpqa7nqF69uuv+XLlyqVq1aq6v9+3bpyNHjqQ75qpDhw4pLCxMklSmTJnrvk9//PGHTpw4oapVq6ZbDw0N1aFDh677OFOhoaEKDQ2V0+nU/v37tWHDBi1YsEDdunXT2rVr3X6esmXLun599913q3bt2lq2bJlq1aqlFStWKDg4WA8++GCGx93o2NOnTys+Pl4TJ07U5MmTXY9xOp1KTk7WsWPHdPDgQZUtWzbd76Vrvf/e6EY/E3v27FFqaqruv//+dI/p06ePJGXYqeq5557T+vXr9cUXX+jw4cP65ZdfdOzYMd1zzz2SpBYtWujzzz/XY489pgoVKuihhx7SY4895jphs1u3bnrppZcUHh6uatWqKSIiQk888cQdcX7Lhg0bdPLkST3++OOutccff1xff/21Vq5c6TrZ0o6ffV+W2c+SMmXKqEiRIq6vr/5e//nnn12fkTd7zquf/39/f6tXr56u6+wrbvXP0av++nl99TM0f/78rrXKlSurcuXKrq9Lly6tHDn+/xBE/vz5dfnyZbu/Pa/TsGFDvfbaa+nWAgMDJd38M/eqv77X+/bt09mzZ1WrVq10xyQnJ2fJn+9AZtwWxUT+/Pmv+5foixcvqn379rp8+bKaNGmiVq1aqVq1amrXrp3rmLJly2rNmjXaunWrNm3apG+++Ubvvfeexo4dq1atWunRRx/Vf//7X/33v//Vd999p7lz52rq1Kn65JNPXGMGCxcu1F133ZXutf/6ASn9OXf6d5Zlyc/PT5IyfCj/ldPp1BNPPKGXXnopw31/Pfnw6ofRtTgcDtdr/tXVuVi7xMfHa+bMmerevbuKFSumHDlyqEqVKqpSpYoeeeQRNW/e/LrbDV65ciXD2t+/p9atW+uNN97Q0KFDtXTpUj355JMZ3uubHXv1vR40aJAeeuihDI8rXry4HA5Hhv8mdr9XWeVGPxP+/v5uP4/T6VT37t31888/q3nz5mrWrJnuvfde/ec//3EdU6hQIX355ZfatWuXNm3apI0bN2revHl69dVX1bNnT1WvXl0bNmzQpk2b9P333ys6OlrTp0/X+++/r/Dw8Fv+Xr3ZkiVLJOmaJ/QuWrRIXbt2lWTPz74vMv0sufqZetXVHd78/f3dfs4mTZpIyvgz73Q6r/t5czu71T9Hr/rr57U7n5d//291p7jrrruu+X6785l71V93MHM6nSpXrtw1R3Fz585tb3ggk277T8yNGzfqp59+0rx58xQZGalmzZopT548OnXqlOsv1fPmzdOaNWsUERGh/v37a9myZQoPD1dMTIxSUlI0duxYxcXFqVmzZho9erS++uor5ciRQ998843+8Y9/SJJOnDihMmXKuG5Llixx/UXiZipVqiSHw6EffvjBtZaSkqKffvrJ9fU//vEP/fLLL+le48qVKxo7dqx+//13t16nYMGCKl68eLoTvyVp7969bj3eXQEBAfr0009dM/N/dbVbU6RIEfn7+6c7ifT8+fPpTsy7nscee0xXrlzRp59+qp9++kmtW7fO9LGFCxdWoUKFFBcXl+49/emnn/T2229L+vNf0A4fPqzTp0+7ns/u9yo7lClTRv7+/tqzZ0+69bZt2+qDDz5ItxYbG6tvv/1WkydP1muvvaYWLVqodOnSOnr0qOvnZ+nSpfr4449Vs2ZNRUZG6pNPPtHTTz/tmiufMmWKduzYoUaNGmno0KFavXq1SpUqpdWrV3vk+80up06d0oYNG9S6dWtFR0enuz311FPatWuXSpUq5ZGf/duVu58lf3f48OF0ny07duyQw+FQhQoVMv2cf/852blzp6pUqWL2Dd2m3Plz9FoqVKigw4cP69y5c661n376SeHh4YqPj/dE9NuOO5+511KxYkUdP35cefPmdX1OlChRQm+99RbX3EK2u+2LiWLFikn68y88v/32m7Zv366XX35ZqampSklJkSSdPn1ar7/+utatW6fffvtN//3vfxUbG6vq1asrICBAe/bs0X/+8x/98MMPOnbsmJYsWaKLFy+qevXq+sc//qGHH35Yw4cP1/r16xUXF6f33ntPM2fOVOnSpd3KWKpUKTVt2lSjRo3S999/r19++UVDhgxRfHy8q5vQuXNn7du3TyNHjtShQ4e0a9cu9e3bV4cPH07X6ryZbt26aeHChfr000/166+/6u2339bu3bsz96beRKFChdS1a1dNnjxZkyZNUmxsrOLi4vT111+rZ8+eCgsL0wMPPKDQ0FDFxMRo586d+uWXXzR48GC3/pUqKChITZo00VtvvaUaNWrccLTresc6HA5169ZN8+fP14IFC3T06FGtXbtWI0aMUGBgoAICAlyjbn379tX+/fu1detWjRkzxrb3KbsEBQWpffv2mjx5statW6ejR49q4sSJOnjwoOrVq5fu2CJFiihnzpxauXKl4uLitGfPHvXq1UsnTpxw/fwkJydr3Lhxio6O1rFjx7R9+3Zt27bNNZYTFxen4cOH6/vvv9dvv/2m1atX6/jx47fNyJippUuX6sqVK+rWrZsqVqyY7vbSSy8pR44cWrx4scd+9m9H7n6W/F1ycrJ69eqlffv2adOmTRo1apRatmypkiVLZvo5V6xYoYULF+rw4cN6//33tXbtWldH6U7hzp+j1/LEE08of/786tevn/bv36+9e/dq+PDhqlixous5kZ47n7nX0qJFC+XPn1+RkZH68ccfdejQIQ0cOFDffvvtTS9cC2S122Om4waqVaumQYMG6YMPPtDbb7+tkJAQNWvWTMWLF3f9i1PPnj2Vmpqq0aNH68SJEypatKieffZZde/eXZI0adIkjR071rWbxT333KOoqCjXHziTJk3SpEmTNGzYMJ09e1alS5fWmDFj1KpVK7dzjho1SqNHj9arr74qy7L0xBNPqHr16q6RlNDQUL3//vuaPHmyWrVqpdy5cys8PFwDBgy45vjU9bRr105Op1PTp0/XyZMnVbduXbVp0ybdVpV26NWrl8qWLatPPvlECxcu1OXLl1WiRAk1bdrU9b726dNHZ86cUadOnZQ3b1517txZSUlJbj1/69at9fnnn9+wK3GzYzt37qxcuXJp/vz5evPNN1WkSBG1bdtWkZGRkv5sDX/44YcaNWqUnn32WdcH9V93hbld9enTR35+fho+fLjOnTunypUra9asWbrnnnt04sQJ13EhISF688039c4772jhwoUqWrSoGjRooI4dO7p2cXn66ad15swZTZs2Tb///rvy58+vxx57zDUPPHz4cI0bN079+vXTmTNnVLJkSb322mt68skns+V795QlS5booYceyjDnLP05J/7II49o6dKl+vrrrzVmzJgs/9m/XbnzWfJ39913n/75z3/q+eefl8PhULNmzdJttZuZ52zVqpXWrl2rN998U2XLltXbb7+t+vXrZ+n37G3c+XP0WoKCgjR79myNHTtWzzzzjAIDA9WgQQMNGDDAg+lvL+585l5L3rx5tWDBAo0fP15dunRRWlqa7r33Xs2ZMyfd+ZpAdnBYN+qrwRbJycn673//qwcffDDd9qaPPfaYWrRooVdeeSUb0wHIKvzse7eGDRuqVatWevXVV7M7CgDctm77zsTtICAgQCNHjlTt2rX18ssvy8/PT5999pmOHz/uOgkQgO/hZx8A4Otu+3MmbgcOh0OzZs3SH3/8oX/9619q1aqVdu3aRXsS8HH87AMAfB1jTgAAAACM0JkAAAAAYIRiAgAAAIARigkAAAAARigmAAAAABihmAAAAABghGICAAAAgBGKCQAAAABGKCYAAAAAGPl/cQtMzQ3SAHcAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.subplots(figsize=(10, 10))\n",
+    "sns.heatmap(titanic.select_dtypes([\"float\", \"int\"]).corr()) "
    ]
   },
   {
@@ -256,12 +1607,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nyour comments here\\n'"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "The closer to 1 is the most correlated. So I would say that Pclass and Fare are the most correlated and following would be pclass and Age,\n",
+    "and then Parch and SibSp.\n",
     "\"\"\""
    ]
   },
@@ -274,13 +1637,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {
     "scrolled": true
    },
-   "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"
+    "# your code here\n",
+    "sns.boxplot(data=titanic, x=\"Pclass\", y=\"Age\");"
    ]
   },
   {
@@ -293,12 +1668,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x122b90dd0>"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x300 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "facet_ = sns.FacetGrid(titanic, col=\"Gender\")\n",
+    "facet_.map(plt.hist, \"Age\")\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -306,7 +1711,7 @@
   "kernelspec": {
    "display_name": "ironhack",
    "language": "python",
-   "name": "ironhack"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -318,7 +1723,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [