diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index 9df5e53..4d8de5d 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 +35,227 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 89,
    "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": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "fitbit = pd.read_csv(\"https://raw.githubusercontent.com/Ironhack-data-bcn-oct-2023/lectures/main/faq-and-examples/lab-matplotlib-seaborn/data/Fitbit2.csv\")\n",
+    "\n",
+    "fitbit.head()"
    ]
   },
   {
@@ -59,20 +275,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 40,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(x = fitbit[\"Months_encoded\"], y = fitbit[\"Steps\"]);"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "median_ = fitbit.groupby(\"Months_encoded\")[\"Steps\"].median().reset_index()\n",
+    "\n",
+    "sns.barplot(median_, x = \"Months_encoded\", y = \"Steps\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "sns.barplot(x = fitbit[\"Work_or_Weekend\"], y = fitbit[\"Steps\"]); "
    ]
   },
   {
@@ -86,6 +348,53 @@
     "* Minutes Sedentary vs Steps  "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lista = [\"Minutes Lightly Active\", \"Minutes Very Active\", \"Minutes Sedentary\"]\n",
+    "\n",
+    "for i in lista: \n",
+    "    \n",
+    "    plt.figure()\n",
+    "    \n",
+    "    sns.scatterplot(fitbit, x = \"Steps\", y = i)\n",
+    "  "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -111,7 +420,7 @@
    "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..9b61377 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -36,13 +36,147 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</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>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>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</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>1</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>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</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>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>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass                                               Name  \\\n",
+       "0         0       3                            Braund, Mr. Owen Harris   \n",
+       "1         1       1  Cumings, Mrs. John Bradley (Florence Briggs Th...   \n",
+       "2         1       3                             Heikkinen, Miss. Laina   \n",
+       "3         1       1       Futrelle, Mrs. Jacques Heath (Lily May Peel)   \n",
+       "4         0       3                           Allen, Mr. William Henry   \n",
+       "\n",
+       "      Sex   Age  SibSp  Parch            Ticket     Fare Cabin Embarked  \n",
+       "0    male  22.0      1      0         A/5 21171   7.2500   NaN        S  \n",
+       "1  female  38.0      1      0          PC 17599  71.2833   C85        C  \n",
+       "2  female  26.0      0      0  STON/O2. 3101282   7.9250   NaN        S  \n",
+       "3  female  35.0      1      0            113803  53.1000  C123        S  \n",
+       "4    male  35.0      0      0            373450   8.0500   NaN        S  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "# your code here\n",
+    "\n",
+    "titanic = pd.read_csv(\"https://raw.githubusercontent.com/Ironhack-data-bcn-oct-2023/lectures/main/datasets/titanic.csv\")\n",
+    "\n",
+    "titanic.head()"
    ]
   },
   {
@@ -54,10 +188,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Survived      int64\n",
+       "Pclass        int64\n",
+       "Name         object\n",
+       "Sex          object\n",
+       "Age         float64\n",
+       "SibSp         int64\n",
+       "Parch         int64\n",
+       "Ticket       object\n",
+       "Fare        float64\n",
+       "Cabin        object\n",
+       "Embarked     object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.dtypes"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -69,10 +227,168 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>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>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.2500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>71.2833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.9250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53.1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>35.0</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>886</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13.0000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>887</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30.0000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>888</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>23.4500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>889</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30.0000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>890</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7.7500</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>891 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Survived  Pclass   Age  SibSp  Parch     Fare\n",
+       "0           0       3  22.0      1      0   7.2500\n",
+       "1           1       1  38.0      1      0  71.2833\n",
+       "2           1       3  26.0      0      0   7.9250\n",
+       "3           1       1  35.0      1      0  53.1000\n",
+       "4           0       3  35.0      0      0   8.0500\n",
+       "..        ...     ...   ...    ...    ...      ...\n",
+       "886         0       2  27.0      0      0  13.0000\n",
+       "887         1       1  19.0      0      0  30.0000\n",
+       "888         0       3   NaN      1      2  23.4500\n",
+       "889         1       1  26.0      0      0  30.0000\n",
+       "890         0       3  32.0      0      0   7.7500\n",
+       "\n",
+       "[891 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic.select_dtypes(exclude = object)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -84,11 +400,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1200x600 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "sns.set_style(\"dark\");\n",
+    "plt.figure(figsize=(12, 6));"
    ]
   },
   {
@@ -100,11 +427,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here\n"
+    "sns.histplot(titanic, x = \"Age\", bins = 20);\n"
    ]
   },
   {
@@ -116,12 +454,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nAs it gets lower, it shows less precise and granular information about the datasets. However,\\na lower bin size can provide a clearer picture of the data.\\n'"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "As it gets lower, it shows less precise and granular information about the datasets. However,\n",
+    "a lower bin size can provide a clearer picture of the data.\n",
     "\"\"\""
    ]
   },
@@ -135,22 +485,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "titanic[\"Sex\"].value_counts().plot(kind = \"bar\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "sns.countplot(x=titanic.Sex); "
    ]
   },
   {
@@ -162,11 +534,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "sns.countplot(x=titanic.Pclass);"
    ]
   },
   {
@@ -185,21 +568,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "sns.boxplot(titanic, x =\"Age\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nIQR, Q1, Q2 (median), Q3\\n\\noutliers\\n\\nmin & max data value\\n\\n\\n'"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "IQR, Q1, Q2 (median), Q3\n",
+    "\n",
+    "outliers\n",
+    "\n",
+    "min & max data value\n",
+    "\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -213,22 +624,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "plt.scatter(data = titanic, x =\"Age\", y=\"Fare\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 2 - seaborn\n",
-    "# your code here"
+    "sns.scatterplot(titanic, x=\"Age\", y=\"Fare\");\n",
+    "\n"
    ]
   },
   {
@@ -240,11 +674,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 15,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "sns.heatmap(titanic.select_dtypes(exclude = object).corr());\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
@@ -256,12 +705,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\n\\nSibSp - Parch\\n\\n'"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "\"\"\"\n",
-    "your comments here\n",
+    "\n",
+    "SibSp - Parch\n",
+    "\n",
     "\"\"\""
    ]
   },
@@ -274,13 +736,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "sns.boxplot(titanic, x = \"Pclass\", y = \"Age\");"
    ]
   },
   {
@@ -293,11 +766,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 300x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "g = sns.FacetGrid(titanic, row=\"Sex\")\n",
+    "\n",
+    "g.map(plt.hist, \"Age\", bins = 20)\n",
+    "\n",
+    "plt.show()"
    ]
   }
  ],
@@ -318,7 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.11.5"
   },
   "nbTranslate": {
    "displayLangs": [