diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index dbe4405..f63e2b0 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -11,12 +11,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Libraries\n",
-    "import numpy as np"
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -30,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,11 +56,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Method 1"
+    "# Method 1\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.plot(x,y)\n",
+    "plt.plot(x,z)\n",
+    "plt.show()"
    ]
   },
   {
@@ -69,11 +87,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Method 2"
+    "# Method 2\n",
+    "\n",
+    "fig, axes = plt.subplots(nrows=1, ncols=2)\n",
+    "\n",
+    "axes[0].plot(x, y)\n",
+    "axes[1].plot(x, z)\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
@@ -88,11 +124,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "\n",
+    "fig, axes = plt.subplots(nrows=1, ncols=2)\n",
+    "\n",
+    "axes[0].plot(x, y, 'b-')\n",
+    "axes[0].set_title('(x, y) Plot', size = 10, fontweight = \"bold\")\n",
+    "axes[0].set_xlabel('x', fontsize = 10, fontweight = \"bold\")\n",
+    "axes[0].set_ylabel('y', fontsize = 10, rotation  =360, fontweight = \"bold\")\n",
+    "\n",
+    "axes[1].plot(x, z, 'b-', label = '(x, z) Plot')\n",
+    "axes[1].set_title('(x, z) Plot', size = 10, fontweight = \"bold\")\n",
+    "axes[1].set_xlabel('x', fontsize = 10, fontweight = \"bold\")\n",
+    "axes[1].set_ylabel('z', fontsize = 10, rotation = 360, fontweight = \"bold\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
@@ -140,11 +202,226 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "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": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "fitbit = pd.read_csv(\"Fitbit2.csv\")\n",
+    "fitbit.head()"
    ]
   },
   {
@@ -167,15 +444,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 94,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# MEDIAN STEPS BY MONTH_ENCODED\n",
-    "# your code here\n",
+    "monthly_steps = fitbit.groupby([\"Months_encoded\"]).agg({\"Steps\": \"median\"})\n",
     "\n",
     "# MEDIAN STEPS BY WORK_OR_WEEKEND\n",
-    "# your code here"
+    "workweekend_steps = fitbit.groupby([\"Work_or_Weekend\"]).agg({\"Steps\": \"median\"})\n",
+    "\n",
+    "\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n",
+    "\n",
+    "plt.sca(axes[0])\n",
+    "plt.plot(monthly_steps, \"-o\")\n",
+    "plt.xlabel(\"Months\")\n",
+    "plt.ylabel(\"Steps\")\n",
+    "plt.title(\"Median Number of Steps by Month\")\n",
+    "plt.xticks(range(1, 13))\n",
+    "\n",
+    "plt.sca(axes[1])\n",
+    "workweekend_steps.plot(kind = \"bar\", color = \"blue\")\n",
+    "plt.xlabel(\"Workday or Weekend\")\n",
+    "plt.ylabel(\"Steps\")\n",
+    "plt.title(\"Median Number of Steps by Work or Weekend\")\n",
+    "plt.xticks([0,1], [\"Workday\", \"Weekend\"], rotation = 360)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "#plt.savefig(\"figures/fitbit_steps.png\")\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
@@ -191,11 +512,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 96,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "features = [\"Minutes Lightly Active\", \"Minutes Very Active\", \"Minutes Sedentary\"]\n",
+    "\n",
+    "fig, axes = plt.subplots(1, 3, figsize = (12, 4))\n",
+    "\n",
+    "for plot, feature in enumerate(features):\n",
+    "    ax = axes[plot]\n",
+    "    ax.scatter(fitbit[feature], fitbit[\"Steps\"])\n",
+    "    ax.set_xlabel(feature)\n",
+    "    ax.set_ylabel(\"Steps\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
@@ -211,13 +554,157 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 97,
    "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": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "titanic = pd.read_csv(\"titanic.csv\")\n",
+    "titanic.head()"
    ]
   },
   {
@@ -229,11 +716,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 98,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "PassengerId      int64\n",
+       "Survived       float64\n",
+       "Pclass           int64\n",
+       "Name            object\n",
+       "Gender          object\n",
+       "Age            float64\n",
+       "SibSp            int64\n",
+       "Parch            int64\n",
+       "Ticket          object\n",
+       "Fare           float64\n",
+       "Cabin           object\n",
+       "Embarked        object\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "titanic.dtypes"
    ]
   },
   {
@@ -246,22 +756,347 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 100,
    "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>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": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# NUMERICAL VARIABLES\n",
-    "# your code here"
+    "titanic.select_dtypes(include=np.number)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 101,
    "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>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": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# CATEGORICAL VARIABLES\n",
-    "# your code here"
+    "titanic.select_dtypes(include=object)"
    ]
   },
   {
@@ -274,11 +1109,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 127,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 960x480 with 0 Axes>"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 960x480 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "plt.style.use(\"classic\")\n",
+    "plt.figure(figsize = (12, 6))"
    ]
   },
   {
@@ -290,11 +1146,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 128,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "plt.figure(figsize = (12, 6))\n",
+    "plt.hist(titanic[\"Age\"], bins = 10)\n",
+    "plt.xlabel(\"Age\")\n",
+    "plt.ylabel(\"Frequency\")\n",
+    "plt.title(\"Distribution of Age\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -306,11 +1178,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 129,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 960x480 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# your code here"
+    "fig, axes = plt.subplots(1, 3, figsize = (12, 6))\n",
+    "bin_sizes = [10, 20, 50]\n",
+    "\n",
+    "for i, ax in enumerate(axes):\n",
+    "    ax.hist(titanic[\"Age\"], bins = bin_sizes[i])\n",
+    "    ax.set_xlabel(\"Age\")\n",
+    "    ax.set_ylabel(\"Frequency\")\n",
+    "    ax.set_title(f'Distribution of Age (Bins = {bin_sizes[i]})')\n",
+    "\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
@@ -357,12 +1251,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 130,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x320 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Method 1 - matplotlib\n",
-    "# your code here"
+    "gender_counts = titanic[\"Gender\"].value_counts()\n",
+    "\n",
+    "plt.figure(figsize = (8, 4))\n",
+    "plt.bar(gender_counts.index, gender_counts)\n",
+    "plt.xlabel(\"Gender\")\n",
+    "plt.ylabel(\"Count\")\n",
+    "plt.title(\"Distribution of Gender\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x320 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (8, 4))\n",
+    "plt.pie(gender_counts, labels = gender_counts.index)\n",
+    "plt.title(\"Distribution of Gender\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -571,7 +1508,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -585,7 +1522,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,