diff --git a/Untitled.ipynb b/Untitled.ipynb
new file mode 100644
index 0000000..e5f8149
--- /dev/null
+++ b/Untitled.ipynb
@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0ee8e12-edb6-4b0a-b9d6-726639e75dc1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lab_pokemon.ipynb b/lab_pokemon.ipynb
index 01594f2..cfa299c 100644
--- a/lab_pokemon.ipynb
+++ b/lab_pokemon.ipynb
@@ -16,17 +16,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "3"
+       "9"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -37,7 +37,7 @@
     "# printed below the cell. \n",
     "# Then try changing the Python code and re-run it.\n",
     "\n",
-    "1+1+1"
+    "1+1+7"
    ]
   },
   {
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
    "metadata": {},
    "outputs": [
@@ -62,7 +62,7 @@
        "10"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "69dd7908-b213-4d0f-8016-e46a4a491961",
    "metadata": {},
    "outputs": [
@@ -85,7 +85,7 @@
        "20"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -130,7 +130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
    "metadata": {},
    "outputs": [],
@@ -140,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
    "metadata": {},
    "outputs": [],
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "id": "579d8dda-ca39-48b1-8819-b17651029729",
    "metadata": {},
    "outputs": [
@@ -403,7 +403,7 @@
        "[800 rows x 12 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -426,12 +426,241 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
    "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>age</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>income</th>\n",
+       "      <th>education</th>\n",
+       "      <th>sexual_orientation</th>\n",
+       "      <th>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>health</th>\n",
+       "      <th>no_doctor</th>\n",
+       "      <th>exercise</th>\n",
+       "      <th>sleep</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>55</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>other</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>83.01</td>\n",
+       "      <td>2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>65</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>78.02</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>77.11</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>55</td>\n",
+       "      <td>male</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>81.65</td>\n",
+       "      <td>5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>55</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166420</th>\n",
+       "      <td>45</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>86.18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166421</th>\n",
+       "      <td>25</td>\n",
+       "      <td>male</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>86.18</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166422</th>\n",
+       "      <td>25</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.91</td>\n",
+       "      <td>45.36</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166423</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>68.04</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166424</th>\n",
+       "      <td>35</td>\n",
+       "      <td>male</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>86.18</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>166425 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        age     sex  income  education sexual_orientation  height  weight  \\\n",
+       "0        55  female       5          2              other    1.55   83.01   \n",
+       "1        65  female       8          1       heterosexual    1.65   78.02   \n",
+       "2        35  female       8          4       heterosexual    1.65   77.11   \n",
+       "3        55    male       8          4       heterosexual    1.83   81.65   \n",
+       "4        55  female       8          4       heterosexual    1.80   76.66   \n",
+       "...     ...     ...     ...        ...                ...     ...     ...   \n",
+       "166420   45  female       8          3       heterosexual    1.63   86.18   \n",
+       "166421   25    male       7          2       heterosexual    1.78   86.18   \n",
+       "166422   25  female       1          2       heterosexual    1.91   45.36   \n",
+       "166423   35  female       5          4       heterosexual    1.60   68.04   \n",
+       "166424   35    male       7          2       heterosexual    1.75   86.18   \n",
+       "\n",
+       "        health  no_doctor  exercise  sleep  \n",
+       "0            2       True      True      7  \n",
+       "1            3      False     False      8  \n",
+       "2            4       True      True      7  \n",
+       "3            5      False      True      8  \n",
+       "4            4      False      True      8  \n",
+       "...        ...        ...       ...    ...  \n",
+       "166420       1      False     False      6  \n",
+       "166421       4      False      True      6  \n",
+       "166422       1      False     False      8  \n",
+       "166423       4       True      True      6  \n",
+       "166424       3      False     False      8  \n",
+       "\n",
+       "[166425 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "people"
    ]
   },
   {
@@ -448,7 +677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "id": "9afca362-9edc-423c-981b-dc42107d5de0",
    "metadata": {},
    "outputs": [
@@ -465,7 +694,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -484,7 +713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 13,
    "id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
    "metadata": {},
    "outputs": [
@@ -498,7 +727,7 @@
        "dtype: float64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -517,7 +746,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
    "metadata": {},
    "outputs": [
@@ -527,7 +756,7 @@
        "np.float64(0.08125)"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -556,12 +785,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 20,
    "id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\n",
+       "65    33.632567\n",
+       "55    20.636924\n",
+       "45    15.766862\n",
+       "35    13.552651\n",
+       "25    10.886586\n",
+       "18     5.524410\n",
+       "Name: proportion, dtype: float64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "people.age.value_counts(normalize = True) * 100"
    ]
   },
   {
@@ -574,12 +821,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 21,
    "id": "b7f910c8-3d40-49ae-b270-678734c04100",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "height     1.705082\n",
+       "weight    83.053588\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "people[[\"height\", \"weight\"]].mean()"
    ]
   },
   {
@@ -592,12 +852,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 23,
    "id": "f3891188-a85f-4089-8388-d4d81c7438ad",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(78.58014120474688)"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "people.exercise.mean()* 100"
    ]
   },
   {
@@ -615,7 +886,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 24,
    "id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
    "metadata": {},
    "outputs": [
@@ -855,7 +1126,7 @@
        "[65 rows x 12 columns]"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -875,7 +1146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 25,
    "id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
    "metadata": {},
    "outputs": [
@@ -896,7 +1167,7 @@
        "Name: type, Length: 800, dtype: bool"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -915,7 +1186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 26,
    "id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
    "metadata": {},
    "outputs": [
@@ -1373,7 +1644,7 @@
        "789              44               46     28           6      False  "
       ]
      },
-     "execution_count": 16,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1393,7 +1664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 27,
    "id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
    "metadata": {},
    "outputs": [
@@ -1562,7 +1833,7 @@
        "676              95              135    105           5      False  "
       ]
      },
-     "execution_count": 17,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1592,12 +1863,242 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 28,
    "id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
    "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>age</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>income</th>\n",
+       "      <th>education</th>\n",
+       "      <th>sexual_orientation</th>\n",
+       "      <th>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>health</th>\n",
+       "      <th>no_doctor</th>\n",
+       "      <th>exercise</th>\n",
+       "      <th>sleep</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>55</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>other</td>\n",
+       "      <td>1.55</td>\n",
+       "      <td>83.01</td>\n",
+       "      <td>2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>77.11</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>35</td>\n",
+       "      <td>male</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.73</td>\n",
+       "      <td>94.35</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>81.65</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>45</td>\n",
+       "      <td>female</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>72.57</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166407</th>\n",
+       "      <td>18</td>\n",
+       "      <td>male</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.68</td>\n",
+       "      <td>68.04</td>\n",
+       "      <td>3</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166409</th>\n",
+       "      <td>25</td>\n",
+       "      <td>male</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.57</td>\n",
+       "      <td>58.51</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166414</th>\n",
+       "      <td>55</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.63</td>\n",
+       "      <td>88.45</td>\n",
+       "      <td>3</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166416</th>\n",
+       "      <td>65</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>55.34</td>\n",
+       "      <td>3</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166423</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>68.04</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>13784 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        age     sex  income  education sexual_orientation  height  weight  \\\n",
+       "0        55  female       5          2              other    1.55   83.01   \n",
+       "2        35  female       8          4       heterosexual    1.65   77.11   \n",
+       "24       35    male       8          3       heterosexual    1.73   94.35   \n",
+       "50       35  female       4          2       heterosexual    1.78   81.65   \n",
+       "66       45  female       6          4       heterosexual    1.57   72.57   \n",
+       "...     ...     ...     ...        ...                ...     ...     ...   \n",
+       "166407   18    male       5          2       heterosexual    1.68   68.04   \n",
+       "166409   25    male       6          2       heterosexual    1.57   58.51   \n",
+       "166414   55  female       8          3       heterosexual    1.63   88.45   \n",
+       "166416   65  female       5          2       heterosexual    1.50   55.34   \n",
+       "166423   35  female       5          4       heterosexual    1.60   68.04   \n",
+       "\n",
+       "        health  no_doctor  exercise  sleep  \n",
+       "0            2       True      True      7  \n",
+       "2            4       True      True      7  \n",
+       "24           4       True     False      8  \n",
+       "50           4       True     False     10  \n",
+       "66           4       True      True      7  \n",
+       "...        ...        ...       ...    ...  \n",
+       "166407       3       True      True      8  \n",
+       "166409       4       True     False      7  \n",
+       "166414       3       True     False      6  \n",
+       "166416       3       True     False      6  \n",
+       "166423       4       True      True      6  \n",
+       "\n",
+       "[13784 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "no_doc = people[people.no_doctor]\n",
+    "no_doc"
    ]
   },
   {
@@ -1618,12 +2119,242 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 31,
    "id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age</th>\n",
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+       "      <th>sexual_orientation</th>\n",
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+       "      <th>1</th>\n",
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+       "      <th>4</th>\n",
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+       "      <td>8</td>\n",
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+       "      <td>1.80</td>\n",
+       "      <td>76.66</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
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+       "      <td>8</td>\n",
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+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>166418</th>\n",
+       "      <td>55</td>\n",
+       "      <td>male</td>\n",
+       "      <td>7</td>\n",
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+       "      <td>63.50</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166419</th>\n",
+       "      <td>45</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>68.04</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166421</th>\n",
+       "      <td>25</td>\n",
+       "      <td>male</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>86.18</td>\n",
+       "      <td>4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
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+       "    <tr>\n",
+       "      <th>166423</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>68.04</td>\n",
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+       "      <td>True</td>\n",
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+       "    <tr>\n",
+       "      <th>166424</th>\n",
+       "      <td>35</td>\n",
+       "      <td>male</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.75</td>\n",
+       "      <td>86.18</td>\n",
+       "      <td>3</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>142249 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        age     sex  income  education sexual_orientation  height  weight  \\\n",
+       "1        65  female       8          1       heterosexual    1.65   78.02   \n",
+       "2        35  female       8          4       heterosexual    1.65   77.11   \n",
+       "3        55    male       8          4       heterosexual    1.83   81.65   \n",
+       "4        55  female       8          4       heterosexual    1.80   76.66   \n",
+       "5        55    male       8          4       heterosexual    1.80   74.84   \n",
+       "...     ...     ...     ...        ...                ...     ...     ...   \n",
+       "166418   55    male       7          2       heterosexual    1.57   63.50   \n",
+       "166419   45  female       8          2       heterosexual    1.52   68.04   \n",
+       "166421   25    male       7          2       heterosexual    1.78   86.18   \n",
+       "166423   35  female       5          4       heterosexual    1.60   68.04   \n",
+       "166424   35    male       7          2       heterosexual    1.75   86.18   \n",
+       "\n",
+       "        health  no_doctor  exercise  sleep  \n",
+       "1            3      False     False      8  \n",
+       "2            4       True      True      7  \n",
+       "3            5      False      True      8  \n",
+       "4            4      False      True      8  \n",
+       "5            5      False      True      7  \n",
+       "...        ...        ...       ...    ...  \n",
+       "166418       3      False      True      8  \n",
+       "166419       3      False      True      7  \n",
+       "166421       4      False      True      6  \n",
+       "166423       4       True      True      6  \n",
+       "166424       3      False     False      8  \n",
+       "\n",
+       "[142249 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "good_health = people[(people.health >= 3)]\n",
+    "good_health"
    ]
   },
   {
@@ -1643,12 +2374,242 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 34,
    "id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "  <tbody>\n",
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+       "      <th>2</th>\n",
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+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>136.08</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166219</th>\n",
+       "      <td>55</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>other</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>59.87</td>\n",
+       "      <td>3</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166272</th>\n",
+       "      <td>25</td>\n",
+       "      <td>female</td>\n",
+       "      <td>8</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>98.88</td>\n",
+       "      <td>3</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166381</th>\n",
+       "      <td>45</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>49.90</td>\n",
+       "      <td>5</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>166423</th>\n",
+       "      <td>35</td>\n",
+       "      <td>female</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4</td>\n",
+       "      <td>heterosexual</td>\n",
+       "      <td>1.60</td>\n",
+       "      <td>68.04</td>\n",
+       "      <td>4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2321 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        age     sex  income  education sexual_orientation  height  weight  \\\n",
+       "2        35  female       8          4       heterosexual    1.65   77.11   \n",
+       "66       45  female       6          4       heterosexual    1.57   72.57   \n",
+       "135      55  female       6          4       heterosexual    1.70   81.65   \n",
+       "146      65  female       5          4       heterosexual    1.55   72.57   \n",
+       "259      65  female       4          4       heterosexual    1.57   56.70   \n",
+       "...     ...     ...     ...        ...                ...     ...     ...   \n",
+       "166121   35  female       8          4       heterosexual    1.65  136.08   \n",
+       "166219   55  female       5          4              other    1.52   59.87   \n",
+       "166272   25  female       8          4       heterosexual    1.52   98.88   \n",
+       "166381   45  female       5          4       heterosexual    1.52   49.90   \n",
+       "166423   35  female       5          4       heterosexual    1.60   68.04   \n",
+       "\n",
+       "        health  no_doctor  exercise  sleep  \n",
+       "2            4       True      True      7  \n",
+       "66           4       True      True      7  \n",
+       "135          4       True      True      7  \n",
+       "146          5       True      True      7  \n",
+       "259          3       True      True      6  \n",
+       "...        ...        ...       ...    ...  \n",
+       "166121       4       True      True      5  \n",
+       "166219       3       True      True      5  \n",
+       "166272       3       True      True      8  \n",
+       "166381       5       True      True      6  \n",
+       "166423       4       True      True      6  \n",
+       "\n",
+       "[2321 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "female_cgrad_nodoc = people[(people.sex == \"female\") & (people.education == 4) & (people.no_doctor)]\n",
+    "female_cgrad_nodoc"
    ]
   },
   {
@@ -1667,7 +2628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 35,
    "id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
    "metadata": {},
    "outputs": [
@@ -1696,7 +2657,7 @@
        "Name: speed, dtype: float64"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1715,7 +2676,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 36,
    "id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
    "metadata": {},
    "outputs": [
@@ -1887,7 +2848,7 @@
        "Dragon    83.312500  112.125000   86.375000"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1907,7 +2868,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 37,
    "id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
    "metadata": {},
    "outputs": [
@@ -1934,7 +2895,7 @@
        "Name: legendary, dtype: float64"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1967,12 +2928,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 38,
    "id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "income\n",
+       "1    6.952208\n",
+       "2    6.985627\n",
+       "6    7.055784\n",
+       "8    7.074626\n",
+       "7    7.078495\n",
+       "4    7.079627\n",
+       "3    7.083274\n",
+       "5    7.100286\n",
+       "Name: sleep, dtype: float64"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "people.groupby(\"income\").sleep.mean().sort_values()"
    ]
   },
   {
@@ -1985,12 +2966,109 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 45,
    "id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
    "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></th>\n",
+       "      <th>income</th>\n",
+       "      <th>health</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sex</th>\n",
+       "      <th>education</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"4\" valign=\"top\">female</th>\n",
+       "      <th>1</th>\n",
+       "      <td>3.554701</td>\n",
+       "      <td>2.848040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5.049022</td>\n",
+       "      <td>3.315797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5.779390</td>\n",
+       "      <td>3.483379</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6.960652</td>\n",
+       "      <td>3.844340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"4\" valign=\"top\">male</th>\n",
+       "      <th>1</th>\n",
+       "      <td>4.433009</td>\n",
+       "      <td>3.031525</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5.742876</td>\n",
+       "      <td>3.440818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6.270230</td>\n",
+       "      <td>3.549105</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>7.190582</td>\n",
+       "      <td>3.826512</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    income    health\n",
+       "sex    education                    \n",
+       "female 1          3.554701  2.848040\n",
+       "       2          5.049022  3.315797\n",
+       "       3          5.779390  3.483379\n",
+       "       4          6.960652  3.844340\n",
+       "male   1          4.433009  3.031525\n",
+       "       2          5.742876  3.440818\n",
+       "       3          6.270230  3.549105\n",
+       "       4          7.190582  3.826512"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# YOUR CODE HERE"
+    "people.groupby([\"sex\", \"education\"])[['income', 'health']].mean()"
    ]
   },
   {
@@ -2007,7 +3085,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 57,
    "id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
    "metadata": {},
    "outputs": [],
@@ -2030,9 +3108,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 59,
    "id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -2040,7 +3120,7 @@
        "<Axes: xlabel='attack', ylabel='Count'>"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2061,7 +3141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 60,
    "id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
    "metadata": {},
    "outputs": [
@@ -2071,7 +3151,7 @@
        "<Axes: xlabel='Count', ylabel='attack'>"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2102,7 +3182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 49,
    "id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
    "metadata": {},
    "outputs": [
@@ -2112,7 +3192,7 @@
        "<Axes: xlabel='legendary', ylabel='hp'>"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2141,7 +3221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 50,
    "id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
    "metadata": {},
    "outputs": [
@@ -2151,7 +3231,7 @@
        "<Axes: xlabel='hp', ylabel='type'>"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2182,7 +3262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 65,
    "id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
    "metadata": {},
    "outputs": [],
@@ -2194,7 +3274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 66,
    "id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
    "metadata": {},
    "outputs": [
@@ -2204,7 +3284,7 @@
        "<Axes: xlabel='speed_category', ylabel='count'>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2235,7 +3315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 53,
    "id": "444d9832-bd57-4238-9ea4-5ee898847170",
    "metadata": {},
    "outputs": [
@@ -2245,7 +3325,7 @@
        "<Axes: xlabel='hp', ylabel='speed'>"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2274,7 +3354,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 54,
    "id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
    "metadata": {},
    "outputs": [
@@ -2284,7 +3364,7 @@
        "<Axes: xlabel='hp', ylabel='speed'>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2313,17 +3393,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 55,
    "id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x131a01e80>"
+       "<seaborn.axisgrid.FacetGrid at 0x129cd8590>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2355,12 +3437,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 63,
    "id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='height', ylabel='Count'>"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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PV2UpKCiQ6tWrRyxLT08398eOHZP8/HzzuLQyhw4dslZHItLSPFK3bqY4RVZWhrgVbXeO0JVwdepEf2/6vD+WqV07I+G64nodn7dC21bktaOVi7ftZe1/qnPaMV9ebm5/lsW2J3W4qlGjRolB5RqIVM2aNc16pWVCj0NlMjIyrNWRiMLCoOTmHpVUp0leD7jc3HwJBArFTWi7s9quvS1+f8A8zsnJK7VnxpQJBEzIOHw4X/z+wnLXFffr+AMV2jbR145WLt62l7X/qcyJx3x5uLn93iJtz8xMt9KDldThqnHjxrJv376IZaHnjRo1Er/fH16mVwMWLdO6dWtrdSSqrA+nVKNvNie1pzxouzParqfBgj8lAb8/GH5cvIwEY7e9rLrifZ2gBBPftgKvHa1cvG0va/+dwEnHfCLc3P6AxVCZ1CdXu3btKh9//LEEAj/+h6XWrl0rLVq0kPr160ubNm2kVq1a5krDkNzcXNmyZYvZ1lYdAAAAjghXOlXCkSNHZNy4cbJ9+3ZZtmyZLFy4UIYPHx4eJ6WTg+q8Ve+884658m/UqFGmt6pPnz7W6gAAAHDEaUHtWZo3b55MnjxZ+vfvLw0aNJCxY8eaxyEjR440p/bGjx9vBq9rb9P8+fPN9A626gAAAEjJcDV16tQSy9q3by8vvfRS1G28Xq/cfvvt5haNjToAAABS/rQgAABAqiFcAQAAWES4AgAAsIhwBQAAYBHhCgAAwCLCFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAIAALCIcAUAAGAR4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AAAAsIlwBAABYRLgCAACwiHAFAABgEeEKAADAIsIVAACARYQrAAAAiwhXAAAAFhGuAAAALCJcAQAAWES4AgAAsIhwBQAAkOzhKjs7uzKqBQAAcGa4Ouuss2Tz5s2lrtu4caP85je/qeh+AQAApCRfvAUXLFggR48eNY+DwaC8/PLL8sEHH5Qo9+mnn0r16tXt7iUAAIDTwtWxY8fkscceM489Ho8JV8WlpaVJ7dq15YYbbrC7lwAAAE4LVxqYQqGpTZs2smTJEmnfvn1l7hsAAIBzw1VR27Zts78nAAAAbg1Xas2aNfLee+9Jfn6+FBYWRqzT04ZTpkyxsX8AAADOD1c6uP3BBx+U9PR0qVevnglTRRV/DgAA4BYJhavnn39eLrnkEpk8efJJuTLQ7/fL448/LitWrJCcnBxp27at3H777dKxY0ezfuvWrWZf/v3vf5uwN3jwYLnmmmvC22vPmg7G10H4hw8flq5du8o999wjp59+erhMrDoAAAAqbZ6r/fv3yxVXXHHSplx44oknTDCaNGmSCVgtWrSQoUOHyr59++TgwYMyZMgQadasmSxdulRuuukmmT59unkcMnv2bFm0aJHZfvHixSZs6fbHjx836+OpAwAAoNLClfYcffnll3KyrF69Wi6++GI5//zz5YwzzpA777zT9ED961//MlctVqtWTSZOnCgtW7aUyy+/3PQ6zZ0712yrAUpPY44cOVJ69eplrnScMWOGmUV+1apVpkysOgAAACo1XN19990msCxbtky++uor2b17d4mbTfXr1zeD57/99lsJBALy0ksvmV4zDUo6I3y3bt3E5/u/M5zdu3eXnTt3mh42vbIxLy9PevToEV6flZVlAuKGDRvM81h1AAAAVOqYqwEDBphTaxqyog1e1zFMtowbN05uueUW+fWvfy1er9dMVjpr1ixzGk97oFq1ahVRvmHDhuZ+z5494e85bNKkSYkyoXWx6jj11FMT2m+fL/W/F9vrTYu4dxPa7qy260dV6PPK5/NIMFjys8us/mmxtj0YLH9d8b6ORzyJb1uB145WLt62l7X/qcyJx3x5uLn93kpoe0LhSscuncwrArdv325mftdB7Y0aNTLjr8aMGWMG1hcUFJQY+6VXMYZmldepIlRpZQ4dOmQex6ojEWlpHqlbN1OcIisrQ9yKtjuHz+c193XqRH9v+rw/lqldOyPhuuJ6HZ+3QttW5LWjlYu37WXtf6pz2jFfXm5uf5bFticUri677DI5WbTn6LbbbpOFCxdKly5dzLJ27dqZwKW9VzVq1AgPTA8JBaKaNWua9UrLhB6HymRk/PiDjFVHIgoLg5Kb++N3MaYyTfJ6wOXm5ksgEDmfmdPRdme1Xf8f9PsD5nFOTl6pPTOmTCBgQsbhw/ni9xeWu664X8cfqNC2ib52tHLxtr2s/U9lTjzmy8PN7fcWaXtmZrqVHqyEwlVorFJZdLoDGzZt2iQnTpwwgaqoDh06mC+O/tnPfmauGiwq9Fx7uXQah9AyPY1YtEzr1q3N48aNG5dZR6LK+nBKNfpmc1J7yoO2O6Pt2tuuXzqv/P5g+HHxMhKM3fay6or3dYISTHzbCrx2tHLxtr2s/XcCJx3ziXBz+wMWQ2VC4WrQoEERb05V/DShrTFXGnzU559/HvFdhl988YU0b97chCydXkEHuut4LLV27VozXYMOhNfTibVq1ZJ169aFw1Vubq5s2bJFBg4cGA6CZdUBAABQqeHq2WefLbHs6NGj5qq7lStXmtN1tmigOvfcc+WOO+6Qe++914Qtnevqo48+khdffFGaNm0q8+bNM4Pede6qzZs3m1OIEyZMMNvrWCoNUTpvlU4Oetppp8m0adNMPX369DFldOqFsuoAAACo1HCl0xaURueR0jFKOunnnDlzxAa9MlDrmzlzptx1111mELpe2afhR3utlAYjnV29f//+0qBBAxk7dqx5HKJzXOnpwfHjx5vB69pTNX/+fDO3ldLeqVh1AAAAVOoXN0ejg86feuopq3WecsopptdKb9F6t3Tuq2j0VJ9+XY7eoolVBwAAQDysT2jx7rvvSmam8y7PBQAAqLSeq9K+0FgnFdXJOL/77jsZNmxYItUCAAC4M1yVdumtjo3SsVDDhw83A8QBAADcKKFw9dxzz9nfEwAAALcPaNdJPNevX2/mjdJpDnTKhJ49e9rbOwAAADeEK/2qmBtvvFE+/PBDcyVe3bp15eDBg2b6he7du5v74t/VBwAA4AYJXS2ok4R+/PHH8uCDD5oJNzVk6dfU/OUvf5F//etfZl4qAAAAN0ooXL322mty8803y6WXXhr+uhifzye///3vzfJXX33V9n4CAAA4N1wdOHBA2rZtW+o6Xb53796K7hcAAIB7wpV+AbKeFizNhg0bpEmTJhXdLwAAAPcMaL/yyitl6tSpUqNGDenXr5+ceuqpsn//fnO6UL/6Rk8NAgAAuFFC4WrAgAGyZcsWmT59ujz00EMRk4vqlx1ff/31NvcRAADA+VMxTJ48Wa699lozz9WhQ4fE4/HIhRdeKC1btrS/lwAAAE4cc/X555+br7Z5+umnzXMNUtqLddVVV8kjjzwio0ePlh07dlTWvgIAADgnXH377bfmC5t1bFWLFi0i1lWrVk3Gjh0rOTk5JmhxtSAAAHCruMPV3LlzpU6dOrJ8+XLp27dvxLqMjAwZPHiw/PWvf5X09HQzQzsAAIAbxR2uPvroIxk6dKj5DsFoGjRoYMZhrVmzxtb+AQAAODNc7du3T5o3bx6zXKtWrSQ7O7ui+wUAAODscKU9VhqwYtEvcD7llFMqul8AAADODlddu3aVZcuWxSy3YsWKqF+NAwAA4HRxh6tBgwbJunXrzMzsx44dK3XuqwcffFA++OADufrqq23vJwAAgLMmEW3Xrp3cddddMmXKFFm5cqX06NFDmjZtKoFAQHbv3m2Cl54SvOWWW6Rnz56Vu9cAAABOmKFde6TatGkj8+fPl3feeSfcg5WZmSnnn3++uVKwQ4cOlbWvAAAAzvv6m3PPPdfc1IEDB8Tn80lWVlZl7BsAAIA7vlswpKw5rwAAANyoXN8tCAAAgLIRrgAAACwiXAEAAFhEuAIAALCIcAUAAGAR4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AAAAsIlwBAAC4MVytWLFCfvvb30q7du2kX79+8uabb4bXffvttzJ8+HDp3LmznH/++TJz5kwJBAIR27/wwgvy61//Wtq3by9XXXWVbNmyJWJ9PHUAAAA4IlytXLlSxo0bJ1dffbW8/vrrcvHFF8vo0aPl008/lRMnTsh1111nyi1evFjuu+8+efHFF+Xxxx8Pb798+XJ58MEH5ZZbbpFly5ZJ06ZNZciQIXLgwAGzPp46AAAA4uGTJBcMBuWRRx6Ra665xoQrdcMNN8jGjRtl/fr18t1338nu3btlyZIlcsopp0irVq3khx9+MGFqxIgRUr16dXnyySdl4MCBcumll5rtp0yZIhdeeKG8/PLLprfqrbfeilkHAACAI3quduzYYQLUJZdcErF8/vz5JhhpyDr77LNNKArp3r27HDlyRLZu3WpC0s6dO6VHjx7h9T6fT7p06SIbNmwwz2PVAQAA4JieKw1X6ujRo+bUnY6V0tN62nvVu3dvyc7OlsaNG0ds07BhQ3O/Z88eE6RUkyZNSpTZtm2beRyrjg4dOiS07z5f0mfXmLzetIh7N6Htzmq7x6M3j3ns83kkGPSUWkZ+WqxtDwbLX1e8r+MRT+LbVuC1o5WLt+1l7X8qc+IxXx5ubr+3Etqe9OFKe4/UHXfcITfffLOMGTPGnMa78cYb5emnn5aCggLJysqK2CY9Pd3cHzt2TPLz883j4qf2tIyuV7HqSERamkfq1s0Up8jKyhC3ou3O4fN5zX2dOtHfmz7vj2Vq185IuK64XsfnrdC2FXntaOXibXtZ+5/qnHbMl5eb259lse1JH66qVatm7rXXqn///ubxWWedZXqwNFzVqFFDjh8/HrFNKBDVrFnTrFellcnI+PEHGauORBQWBiU396ikOk3yesDl5uZLIFAobkLbndV27W3x+3+8AjgnJ6/UnhlTJhAwIePw4Xzx+wvLXVfcr+MPVGjbRF87Wrl4217W/qcyJx7z5eHm9nuLtD0zM91KD1bSh6tGjRqZex1kXtQvfvELef/996Vbt27yxRdfRKzbt29feNvQ6UBd1rJly4gyobr1lGBZdSSqrA+nVKNvNie1pzxouzParqfB9AIZ5fcHw4+Ll5Fg7LaXVVe8rxOUYOLbVuC1o5WLt+1l7b8TOOmYT4Sb2x+wGCqT/uSqDjTPzMyUTZs2RSzXMNSsWTPp2rWr6cUKnT5Ua9euNdu0adNG6tevLy1atJB169aF1/v9fjOIXbdVseoAAABwTLjSU3ZDhw41c0699tpr8p///EeeeOIJWbNmjZmrSqdUaNCggdx6661mgPrq1avl4YcflmuvvTY8zkof6ylEne9q+/btcvfdd5txVldccYVZH08dAICyhQbJA26X9KcFlQ5e1/FRM2bMkL1795rTe7NmzZLzzjvPrJ83b55MmDBB/vjHP5rpFHQGdt0mRJcfPnzYzLqek5Mj55xzjglb9erVCw9ej1UHAKDsYPXy+9vlD71+4bhThYAjw5XSXiq9leaMM86QBQsWlLm9DogPzcKeaB0AgOjyCk5U9S4ASSHpTwsCAACkEsIVAACARYQrAAAAiwhXAAAAFhGuAAAALCJcAXDclADMtwSgKhGuADiGhqqFb241NwIWgKqSMvNcAUA8juQz1xKAqkXPFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAKQUpjHCkCyI1wBSBnMYwUgFTDPFYCUwjxWAJIdPVcAAAAWEa4AAAAsIlwBAABYRLgCAACwiHAFADipmE4DTke4AgCcNEynATdgKgYAwEnFdBpwOnquAAAALCJcAQAAWES4AgAAsIhwBQAAYBHhCgAAwCLCFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAIAALCIcAUAAGAR4QoAAMCt4WrHjh3SqVMnWbZsWXjZ1q1bZeDAgdKxY0fp3bu3PPvssxHbFBYWyqOPPio9e/Y0ZYYNGya7du2KKBOrDgAAAMeFqxMnTsiYMWPk6NGj4WUHDx6UIUOGSLNmzWTp0qVy0003yfTp083jkNmzZ8uiRYtk0qRJsnjxYhO2hg4dKsePH4+7DgAAgHj5JEXMmjVLatWqFbFsyZIlUq1aNZk4caL4fD5p2bKlfPPNNzJ37ly5/PLLTYBasGCBCWW9evUy28yYMcP0Yq1atUouvvjimHUAAAA4rudqw4YN8tJLL8nUqVMjlm/cuFG6detmQlFI9+7dZefOnbJ//37Ztm2b5OXlSY8ePcLrs7KypG3btqbOeOoAAABwVM9Vbm6ujB07VsaPHy9NmjSJWJednS2tWrWKWNawYUNzv2fPHrNeFd9Oy4TWxarj1FNPTXjffb6UyK5l8nrTIu7dhLYnX9s9Hr15zGOfzyPBoCfu9bG2DZWRnxZr24PB8u9HvK/jEU/i21bgtaOVi7ft0fY/WpvKs/9VKVmP+ZPFze33VkLbkz5c3XfffWYQ+yWXXFJiXUFBgVSvXj1iWXp6urk/duyY5Ofnm8ellTl06FBcdSQqLc0jdetmilNkZWWIW9H25OLzec19nTqZ5V4fa1tTxvtjmdq1y257hV/H563QthV57Wjl4m17tP2P1qZE97EqJOMxfzK5uf1ZFtue1OFqxYoV5rTdq6++Wur6GjVqhAemh4QCUc2aNc16pWVCj0NlMjIy4qojUYWFQcnN/b/B96lKk7wecLm5+RIIFIqb0Pbka7t2ePj9AfM4JyevRO9KWetjbRsuEwiYkHH4cL74/aW33crr+AMV2jbR145WLt62R9v/aG0qz/5XpWQ95k8WN7ffW6TtmZnpVnqwkjpc6RV7P/zwQ3gwesi9994rb7zxhjRu3Fj27dsXsS70vFGjRuL3+8PL9GrAomVat25tHseqoyLK+nBKNfpmc1J7yoO2J0/b9XRS8Ke/xn5/MPw4nvWxtg2VkWDsttt4naAEE9+2Aq8drVy8bY+2/9HaVJ79TwbJdsyfbG5uf8BiqEzqcKVTIuhpu6L69OkjI0eOlEsvvVRWrlxpplcIBALi/ak7e+3atdKiRQupX7++1K5d21xhuG7dunC40jFcW7ZsMfNaqa5du5ZZBwAAQHkk9cg17Tk644wzIm5KQ4+u06kSjhw5IuPGjZPt27ebyUUXLlwow4cPN+V0LJWGKA1p77zzjrl6cNSoUaa3SkOailUHAACAY3quYtGQNW/ePJk8ebL0799fGjRoYK4s1Mch2sulpwf1akPtBdOeqvnz55u5reKtAwAAwLHh6vPPP4943r59ezMHVjR6qu/22283t2hi1QEAAOCI04IAAACphnAFAABgEeEKAADAIsIVAACARYQrAAAAiwhXAAAAFhGuAAAALCJcAQAAWES4AgAAsIhwBQAAYBHhCgAAwCLCFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAIAALCIcAUAAGAR4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AAAAsIlwBAABYRLgCAACwiHAFAEg6Ho+nqncBSBjhCgCQdMHq5fe3E7CQsghXAICkk1dwoqp3AUgY4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AAAAsIlwBAABYRLgCAACwiHAFAADgtnCVk5Mj99xzj/zyl7+Uzp07y4ABA2Tjxo3h9R999JFcdtll0qFDB+nbt6+8/vrrEdsfO3ZMJkyYID169JBOnTrJbbfdJgcOHIgoE6sOAAAAx4Sr0aNHy6effioPP/ywLF26VM466yy57rrr5Ouvv5avvvpKhg8fLj179pRly5bJH/7wBxk7dqwJSyH33XeffPjhhzJr1ix55plnzHYjR44Mr4+nDgAAgHj4JMl98803smbNGlm0aJGce+65Ztmf//xn+cc//iGvvvqq/PDDD9K6dWsZNWqUWdeyZUvZsmWLzJs3z/RU7d27V1asWCFPPvmkdOnSxZTRkKa9UxrYtCdLA1dZdQAAADim56pu3boyd+5cadeuXXiZfpmn3nJzc83pweIBqHv37vLxxx9LMBg096FlIS1atJBGjRrJhg0bzPNYdQAAADim5yorK0suuOCCiGVvvfWW6dG6++67Zfny5dK4ceOI9Q0bNpT8/Hw5ePCg6bnSgJaenl6iTHZ2tnms92XVUa9evYT23edL+uwak9ebFnHvJrQ9+dru8fz4z5Xy+TwSDHriXh9r21AZ+Wmxtj3a/1Y2XscjnsS3rcBrRysXb9uj7X+0NpVn/2P9fNx4zJ8sbm6/txLanvThqrhPPvlE7rrrLunTp4/06tVLCgoKpHr16hFlQs+PHz9uAlLx9UrDlg50V7HqSERamkfq1s0Up8jKyhC3ou3Jxefzmvs6dTLLvT7WtqaM98cytWuX3fYKv47PW6FtK/La0crF2/Zo+x+tTYnsY7x1ueGYP5nc3P4si21PqXC1evVqGTNmjLlicPr06eGQVDwAhZ5nZGRIjRo1Sg1IGqx0fTx1JKKwMCi5uUcl1WmS1wMuNzdfAoFCcRPannxt1x4Nvz9gHufk5JXoXSlrfaxtw2UCARMyDh/OF7+/9LZbeR1/oELbJvra0crF2/Zo+x+tTeXZ/1g/Hzce8yeLm9vvLdL2zMx0Kz1YKROunn/+eZk8ebIZiP7AAw+Ee5aaNGki+/btiyirz2vWrCm1a9c2p/t0KgcNS0V7p7SMjruKp45ElfXhlGr0zeak9pQHbU+etuvppNA4SL8/WGJMZFnrY20bKiPB2G238TpBCSa+bQVeO1q5eNsebf+jtak8+x/r5+PGY/5kc3P7AxZDZUqcXNUrBSdNmiRXX321udKvaEjSKwDXr18fUX7t2rWmdystLc1cYVhYWBge2K527NhhxmJ17do1rjoAAADilfTJQYPQlClT5KKLLjJzUe3fv1++//57czt8+LAMGjRINm/ebE4T6nxVCxYskL/97W8ydOhQs732TvXr10/Gjx8v69atM2V13qxu3bpJx44dTZlYdQAAADjmtKBeGXjixAl5++23za2o/v37y9SpU2X27Nkybdo0M19V06ZNzeOiUytor5cGtJtvvtk815neNWyFnHnmmTHrAAAAcES4GjFihLmVRcOS3qLRsVP333+/uSVaB4CTJ3SpPvPMoTiODaSCpD8tCMB9fzwXvrnV3EJ/SAHFsYFUkfQ9VwDc50j+iareBSQpjg2kAnquAAAALCJcAQAAWES4AgAAsIhwBQAAYBHhCgAAwCLCFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAIAALCIcAUAAGAR4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AAAAsIlwBAABYRLgCAACwiHAFAABgEeEKAADAIsIVAMCRPB5PVe8CXIpwBQBwZLB6+f3tBCxUCcIVAMCR8gpOVPUuwKUIVwBOGnoRALgB4QrAScFpGgBuQbgCcNJwmgaAGxCuAAAALCJcAQAAWES4AgAAsIhwBaBSMHAdyXpccmyishGuAFjHlYFIRno8Lnxzq7lxbKIy+Sq1dgCuxZWBSEZH8jkuUfnouQIAALCIcPWTwsJCefTRR6Vnz57SsWNHGTZsmOzatauqdwsAAKQYwtVPZs+eLYsWLZJJkybJ4sWLTdgaOnSoHD9+vKp3DUgaDAaGW3CsoyIIVyImQC1YsEBGjhwpvXr1kjZt2siMGTMkOztbVq1aVdW7ByQFBgPD7cc6gQvxIlyJyLZt2yQvL0969OgRXpaVlSVt27aVDRs2VOm+AYmw9UegeBU6GJgBwXCD4sd6ef+5IIS5mycYDAbF5bR36n/+539k06ZNUqNGjfDyW265RQoKCmTOnDnlrlN/rIWFqf+j1c+HtLQ0c5rUbUdKqrZd9zv0R6FWRrWE9v3HOvx6JIfr0GW5eT/Wm5VZdr2hfSj6+qUti7ZttNeJtQ8V2bZoGb2vXTP6ftp4ndJ+FuXZx0RfO1q5eNtemb9fGz+fWPtY1s8u9H5X0X4+8b52Xr5fMjN8KfPZkaqfd7bbbusfU6ZiEJH8/HxzX7169Yjl6enpcujQoYTq1F+O1+uc/1z0wHOrVGx7Vma6hToi3w+qTu30Cu1DvPtV1uvE2oeKbBtvGRuvE+1nUdF9rMj+J8PvN1ZdFd3HWNuH3u8V/fnULuX9kwpS8fMuGdvu3p9iEaHequKD148dOyYZGRlVtFcAACAVEa5EpEmTJuZ+3759Ecv1eaNGjaporwAAQCoiXImYqwNr1aol69atCy/Lzc2VLVu2SNeuXat03wAAQGphzNVPY60GDhwo06dPl3r16slpp50m06ZNk8aNG0ufPn2qevcAAEAKIVz9ROe48vv9Mn78eHOFoPZYzZ8/X6pVq1bVuwYAAFIIUzEAAABYxJgrAAAAiwhXAAAAFhGuAAAALCJcAQAAWES4AgAAsIhwBQAAYBHhCgAAwCLCFcLmzJkjgwYNKrPMwYMH5bbbbjOTrHbr1k0mTJgg+fn54oa2f/nll3L99dfLeeedJz169DATz+7evVvc0PaiXnnlFWndurV8++234oa2nzhxQh566CHp2bOndOzY0Xybw9atW8UNbf/hhx/M+7179+7muB81apTs3btXUlFOTo7cc8898stf/lI6d+4sAwYMkI0bN0Ytr8f38OHDTdnzzz9fZs6cKYFAQNzQ9k8++cQcG+eee6457seNG2fqcEPbi3riiSfMZ10iCFcwXnjhBfPhEYsGim+++UYWLlwojzzyiPz973+X++67T5zedg2VQ4YMkRo1ashzzz0nTz31lBw4cECGDh0qx44dE6f/3kO+++47mThxojhBvG3X43vZsmUyZcoUWbp0qfmKrGHDhsnhw4fF6W2/9dZbzT8QTz/9tLnp45tuuklS0ejRo+XTTz+Vhx9+2PwezzrrLLnuuuvk66+/LjVQ6zq1ePFicwy8+OKL8vjjj4vT275jxw6zTkPFkiVLZMaMGbJ582a55ZZbxOltL0rb/Nhjj0nCdIZ2uFd2dnZw+PDhwY4dOwb79u0bHDhwYNSyn3zySbBVq1bB7du3h5f94x//CLZu3drU4+S2L1myJNipU6dgfn5+eNnu3bvNz+Of//xn0MltDwkEAsEBAwYEr7nmGtPuXbt2BVNRedr+n//8xxzf7733XnjZoUOHgr/61a8c/3vXdurv+Z133gkvW716tVl28ODBYCrZuXOn2e+NGzeGlxUWFgYvvPDC4MyZM0uUf/XVV4PnnHNOMCcnJ7xs8eLFwc6dOwePHTsWdHLbH3744WCfPn1MmZANGzaYOvT94OS2h+Tl5ZmfQeizLhH0XLncZ599Zr4/UU/1dOjQocyy2pXaoEEDadmyZXiZnhr0eDzy8ccfi5PbrqcBZ8+ebXquQtLSfnz75ObmipPbHvLkk0+a/+j1VEkqK0/b16xZI7Vr1zanFEKysrLk3XffNceEk9uux3pmZqasWLFCjhw5Ym4rV66UFi1amJ9BKqlbt67MnTtX2rVrF16mn1t6K+39q591Z599tpxyyinhZXpqVH8GqXZKuLxtv/TSS+WBBx4w64uWV4cOHRIntz1k8uTJ0qpVK/nd734nieKLm12ud+/e5hYPHWvRpEmTiGXVq1eXOnXqyJ49e8TJbW/atKm5FaVvWv0DpOPPnNz2UBf5ggUL5K9//WvKjrlJpO16iuT000+XVatWmd+3tr1t27Zy5513RvyT4cS263t76tSpZrxKly5dzB+khg0byvPPPx/+xyJVaBi84IILIpa99dZbZojD3XffXaJ8dna2NG7cOGKZtl3pZ128/5CkYttLO651GIT+Y53o+KNUabvS97oOd3n11VflvffeS/i1U+sdgiqlA9f1A7e49PT0lB53lAgdd6V/ZMaMGWPG4DjZ0aNHTTv11rx5c3ET7anQD2LttdSxGzrA1efzyVVXXWUGeztZMBg0vTSdOnUyY7SeeeYZ+dnPfiY33nij+bmkMh2wfdddd0mfPn2kV69eJdYXFBSU+KzTzzmV6p91sdpenPZivf/++2bcmfZ6Ornte/fuNf9M6PhK7fWqCMIV4qa9NMePHy+xXD9satasKW6gf3B0IPD9998vN9xwQ7musktV2lY9FXTllVeK22iQ0iChg3r1irH27dubx2r58uXiZG+++ab5B2LatGnmqjEdAqCnhvWiBu3BTFWrV6+Wa6+91lz5OX369Lg/60KhKpU/6+Jpe4gOAdAgohcvTZo0SS688EJJZatjtF0/27VH+je/+U3EMIBEcVoQcdNucj1Ai9IPIL3UNdRl7mShD5vXXnvN3A8ePFjcQK+w0f/itQdDhS5Hv/jii2XEiBHm5uRjXgNW0VMl+odXTxU6YSqKsui4Iw3VtWrVCi/TMUi6THvzUpGGRR1P07dvX9MjU1pPfOj3/sUXX0Qs27dvn7lv1KiROLntSv+huPnmm80xoFfZaeBIZc/H0Xa9Evaf//yn6d3ScYbK7/ebe/3s02mHdDxavAhXiJuOLdLErx+sZ5xxhlm2fv16c6//2Trd2LFj5e233zZzHvXr10/cQscgFLVp0ya5/fbbzRgkHfTp9GNeP2D/93//NzwoVk8Z7dq1y/HHgAaM119/3fTYhE6J6SliDZXl+SOTLBYtWmR6YLS3WedtKjpgu7Tfe2ggfyhcrl271gzwb9OmjTi57foPs160oqeE58+fb+Y3S2WL4my7hubin3X6XP/m6bFQv379cr0upwURlfZQfP/99+aPidJBnDoJm04kqAOc9cNGz0///ve/T9n/5uJtu85z9MYbb5i26+kRXRe6hco4te0apIveQr9rHX+jFzM4ue06kPu//uu/5I477jD/xW/fvt2EbK/XW6EriVKh7fq+Ds11tW3bNnPTcWcatC677DJJJXphgo6jueiii0xw2L9/f/j9q/OVaaDQx6FTgXoKTAdwh9quPfbag6Onlcrq8XFC23VyWb36WwPJz3/+84jPutKGhTil7T6fr8RnXShQ6eOiPbjxIFwhKr0qRseZaKhQmvh1UjW9au5Pf/qT+eDRc9OpPoloPG3XU4HqwQcfNMuL3kJlnNp2Nymt7bNmzTKBWk+TXHHFFaY349lnn3XchQzF266n+vW/fh2Lou93nURXBzTrMp2eIpXoFWJ6Wl97nou/f/V0kU4yqY/1XmmAnDdvnhQWFsof//hHc0pIL2LQwfypprxt1886/Z1rkC5ePlTGqW23yaOTXVmtEQAAwMXouQIAALCIcAUAAGAR4QoAAMAiwhUAAIBFhCsAAACLCFcAAAAWEa4AoIoxIw7gLIQrAI7Wu3dv84WsFaEz9Ldu3bpc3ycY7zazZ882XzMCwDkIVwAQQ69eveSll16qlC8of+SRRyQ/P996vQCqDl/cDAAx6FfdOO3rbgBUHnquADiefr+Yfi/k//t//086duxovoD3m2++Ca/XL2UeOHCg+XJy/R5B/aLmAwcOlHmKb/ny5fLb3/5W2rVrJ5deeql89NFH0rZtW1O2qE2bNsmVV15pymkPmH5nXYjWqfQ7O0OPAaQ+whUAx9MvI/7yyy9l6tSpcu+998q///1vGTVqlFm3YcMGGTx4sNSoUUNmzpwpd999t6xfv16uueYaKSgoKLW+FStWmHFcnTt3NmOm/vu//9t8qW8gEChRVr/YvF+/fjJ37lzp1KmTTJs2Td577z2zTk81Kv1C6NBjAKmP04IAHK9Ro0YmBFWrVs08116rJ554Qo4cOSIPPfSQtGjRQubMmSNer9es1x4sDURLly6Vq6++utRxUr/61a/k/vvvN8979uxp6ta6ihs9erQMGDDAPNZes7ffflvWrl1rttfnqnHjxuHHAFIfPVcAHK99+/bhYKWaNm1q7nNzc81puwsuuMBMh+D3+83t9NNPl5YtW8qaNWtK1KXBbPfu3dK3b9+I5RrGStOlS5fw44yMDDn11FPN6wJwLnquADhezZo1I56npf34f+WePXuksLBQnnrqKXMrLj09vcSy0Fis+vXrRyzX0FQaDVTFX5t5rQBnI1wBcK1atWqJx+MxY65K63kqHoxCp/DUDz/8ELG8+HMA7sVpQQCulZmZaa7w+/rrr83VfKHbmWeeKbNmzZJ169aVGq6aNWtmxk4VtWrVqoT2IdSLBsA5eFcDcDUdcP7hhx/KbbfdJn//+9/l3XfflaFDh5qpFc4+++wS5bWna+TIkbJ69Wpz5aFuq9Mr6CD3RMJSVlaWfPLJJ+aqRU4XAs5AuALgaueff775+pns7GwTmsaOHWuuGnz66aejXsF3ySWXyMSJE00AGzFihLz++usybty4Usd3xaLb69QQw4YNM2PAAKQ+T5B/lQCgXF577TVzOvHnP/95eNn7778vw4cPl5UrV0qbNm2qdP8AVC3CFQCU0/XXXy9fffWV3HrrrdKkSRMzPcOjjz5qxmI999xzVb17AKoY4QoAyungwYNmwtAPPvjATM2g0zDoLO16WlEHyQNwN8IVAACARQxoBwAAsIhwBQAAYBHhCgAAwCLCFQAAgEWEKwAAAIsIVwAAABYRrgAAACwiXAEAAFhEuAIAABB7/j+pQW34mWFpKAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "sns.histplot(data=people, x=\"height\")"
    ]
   },
   {
@@ -2373,12 +3476,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 64,
    "id": "ee30c851-14b1-4901-9182-4304d54d53a6",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='age', ylabel='sleep'>"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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.barplot(data=people, x=\"age\", y=\"sleep\")"
    ]
   },
   {
@@ -2391,12 +3517,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 67,
    "id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='income', ylabel='exercise'>"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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.barplot(data=people, x=\"income\", y=\"exercise\")"
    ]
   },
   {
@@ -2409,12 +3556,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 68,
    "id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='age', ylabel='health'>"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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.barplot(data=people, x=\"age\", y=\"health\", hue=\"exercise\", errorbar=None)"
    ]
   },
   {
@@ -2427,12 +3597,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 72,
    "id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='income_category', ylabel='count'>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "bins = [0, 1, 2, 3, 4, 5, 6, 7, 8]\n",
+    "labels = [\"<10\", \"10-15k\", \"15 - 20k\", \"20 - 25k\", \"25 - 35k\", \"35 -50k\", \"50 -75k\", \">75k\"]\n",
+    "people[\"income_category\"] = pd.cut(people.income, bins=bins, labels=labels)\n",
+    "\n",
+    "sns.countplot(data=people, x=\"income_category\")"
    ]
   },
   {
@@ -2445,12 +3640,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 74,
    "id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x12d148690>"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here"
+    "sns.scatterplot(data=people, x=\"weight\", y=\"height\", hue=\"sex\", alpha=0.1, edgecolor = None)\n",
+    "types = people[people.sex.isin(['female', 'male'])]\n",
+    "sns.relplot(data=types, x=\"weight\", y=\"height\", col=\"sex\",alpha=0.1, edgecolor = None)"
    ]
   },
   {
@@ -2472,19 +3700,135 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
+   "cell_type": "markdown",
+   "id": "e1273085-fa05-4999-8c70-c20ae873b33a",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Your code here. Feel free to add new text cells and code cells as necessary."
+    "## Do people who exercise get more sleep? How does this relationship differ from female and male?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>sleep</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sex</th>\n",
+       "      <th>exercise</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">female</th>\n",
+       "      <th>False</th>\n",
+       "      <td>7.039175</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>7.099588</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">male</th>\n",
+       "      <th>False</th>\n",
+       "      <td>7.053546</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>7.049462</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    sleep\n",
+       "sex    exercise          \n",
+       "female False     7.039175\n",
+       "       True      7.099588\n",
+       "male   False     7.053546\n",
+       "       True      7.049462"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "people.groupby([\"sex\", \"exercise\"])[['sleep']].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "8b4b852b-402c-45d4-b3bb-840e47b249ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='exercise', ylabel='sleep'>"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.barplot(data=people, x=\"exercise\", y=\"sleep\", hue=\"sex\", errorbar=None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "87387c66-f65a-4ba7-b1b0-f65489767f04",
+   "metadata": {},
+   "source": [
+    "## Data shows female and male get similar hours of sleep regardless of exercise"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8b4b852b-402c-45d4-b3bb-840e47b249ed",
+   "id": "378f9737-3d4c-4043-86de-384d10e80505",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -2506,7 +3850,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.13.7"
   }
  },
  "nbformat": 4,