diff --git a/lab_pokemon.ipynb b/lab_pokemon.ipynb
index a58495a..fa944f3 100644
--- a/lab_pokemon.ipynb
+++ b/lab_pokemon.ipynb
@@ -16,21 +16,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "5923b0d7-c0e0-48fa-b765-4aa6002c2d4f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Other cells are code cells, containing Python code. (This is a comment, of course!)\n",
     "# Try running this cell (again, shift+Enter). You'll see the result of the final statement \n",
@@ -52,21 +41,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "0e2a2927-f6d1-4b13-97ae-ff97416723e9",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "10"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Cell A\n",
     "x = 10\n",
@@ -75,21 +53,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "69dd7908-b213-4d0f-8016-e46a4a491961",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "20"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Cell B\n",
     "x = x * 2\n",
@@ -130,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "ba09a0f8-27d9-456f-aeff-3980e3362d5b",
    "metadata": {},
    "outputs": [],
@@ -140,7 +107,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "a29d508a-2d9a-4d62-9ff6-7a0ecfd5eba4",
    "metadata": {},
    "outputs": [],
@@ -163,251 +130,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "579d8dda-ca39-48b1-8819-b17651029729",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "      <th>subtype</th>\n",
-       "      <th>total</th>\n",
-       "      <th>hp</th>\n",
-       "      <th>attack</th>\n",
-       "      <th>defense</th>\n",
-       "      <th>special_attack</th>\n",
-       "      <th>special_defense</th>\n",
-       "      <th>speed</th>\n",
-       "      <th>generation</th>\n",
-       "      <th>legendary</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Bulbasaur</td>\n",
-       "      <td>Grass</td>\n",
-       "      <td>Poison</td>\n",
-       "      <td>318</td>\n",
-       "      <td>45</td>\n",
-       "      <td>49</td>\n",
-       "      <td>49</td>\n",
-       "      <td>65</td>\n",
-       "      <td>65</td>\n",
-       "      <td>45</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Ivysaur</td>\n",
-       "      <td>Grass</td>\n",
-       "      <td>Poison</td>\n",
-       "      <td>405</td>\n",
-       "      <td>60</td>\n",
-       "      <td>62</td>\n",
-       "      <td>63</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>60</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Venusaur</td>\n",
-       "      <td>Grass</td>\n",
-       "      <td>Poison</td>\n",
-       "      <td>525</td>\n",
-       "      <td>80</td>\n",
-       "      <td>82</td>\n",
-       "      <td>83</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>80</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>VenusaurMega Venusaur</td>\n",
-       "      <td>Grass</td>\n",
-       "      <td>Poison</td>\n",
-       "      <td>625</td>\n",
-       "      <td>80</td>\n",
-       "      <td>100</td>\n",
-       "      <td>123</td>\n",
-       "      <td>122</td>\n",
-       "      <td>120</td>\n",
-       "      <td>80</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Charmander</td>\n",
-       "      <td>Fire</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>309</td>\n",
-       "      <td>39</td>\n",
-       "      <td>52</td>\n",
-       "      <td>43</td>\n",
-       "      <td>60</td>\n",
-       "      <td>50</td>\n",
-       "      <td>65</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>795</th>\n",
-       "      <td>Diancie</td>\n",
-       "      <td>Rock</td>\n",
-       "      <td>Fairy</td>\n",
-       "      <td>600</td>\n",
-       "      <td>50</td>\n",
-       "      <td>100</td>\n",
-       "      <td>150</td>\n",
-       "      <td>100</td>\n",
-       "      <td>150</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>796</th>\n",
-       "      <td>DiancieMega Diancie</td>\n",
-       "      <td>Rock</td>\n",
-       "      <td>Fairy</td>\n",
-       "      <td>700</td>\n",
-       "      <td>50</td>\n",
-       "      <td>160</td>\n",
-       "      <td>110</td>\n",
-       "      <td>160</td>\n",
-       "      <td>110</td>\n",
-       "      <td>110</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>797</th>\n",
-       "      <td>HoopaHoopa Confined</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>Ghost</td>\n",
-       "      <td>600</td>\n",
-       "      <td>80</td>\n",
-       "      <td>110</td>\n",
-       "      <td>60</td>\n",
-       "      <td>150</td>\n",
-       "      <td>130</td>\n",
-       "      <td>70</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>798</th>\n",
-       "      <td>HoopaHoopa Unbound</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>Dark</td>\n",
-       "      <td>680</td>\n",
-       "      <td>80</td>\n",
-       "      <td>160</td>\n",
-       "      <td>60</td>\n",
-       "      <td>170</td>\n",
-       "      <td>130</td>\n",
-       "      <td>80</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>799</th>\n",
-       "      <td>Volcanion</td>\n",
-       "      <td>Fire</td>\n",
-       "      <td>Water</td>\n",
-       "      <td>600</td>\n",
-       "      <td>80</td>\n",
-       "      <td>110</td>\n",
-       "      <td>120</td>\n",
-       "      <td>130</td>\n",
-       "      <td>90</td>\n",
-       "      <td>70</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>800 rows × 12 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                      name     type subtype  total  hp  attack  defense  \\\n",
-       "0                Bulbasaur    Grass  Poison    318  45      49       49   \n",
-       "1                  Ivysaur    Grass  Poison    405  60      62       63   \n",
-       "2                 Venusaur    Grass  Poison    525  80      82       83   \n",
-       "3    VenusaurMega Venusaur    Grass  Poison    625  80     100      123   \n",
-       "4               Charmander     Fire     NaN    309  39      52       43   \n",
-       "..                     ...      ...     ...    ...  ..     ...      ...   \n",
-       "795                Diancie     Rock   Fairy    600  50     100      150   \n",
-       "796    DiancieMega Diancie     Rock   Fairy    700  50     160      110   \n",
-       "797    HoopaHoopa Confined  Psychic   Ghost    600  80     110       60   \n",
-       "798     HoopaHoopa Unbound  Psychic    Dark    680  80     160       60   \n",
-       "799              Volcanion     Fire   Water    600  80     110      120   \n",
-       "\n",
-       "     special_attack  special_defense  speed  generation  legendary  \n",
-       "0                65               65     45           1      False  \n",
-       "1                80               80     60           1      False  \n",
-       "2               100              100     80           1      False  \n",
-       "3               122              120     80           1      False  \n",
-       "4                60               50     65           1      False  \n",
-       "..              ...              ...    ...         ...        ...  \n",
-       "795             100              150     50           6       True  \n",
-       "796             160              110    110           6       True  \n",
-       "797             150              130     70           6       True  \n",
-       "798             170              130     80           6       True  \n",
-       "799             130               90     70           6       True  \n",
-       "\n",
-       "[800 rows x 12 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon"
    ]
@@ -426,7 +152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "c9e5e4ec-b197-450c-ae2d-318006fa0a2f",
    "metadata": {},
    "outputs": [],
@@ -448,27 +174,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "9afca362-9edc-423c-981b-dc42107d5de0",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1    166\n",
-       "5    165\n",
-       "3    160\n",
-       "4    121\n",
-       "2    106\n",
-       "6     82\n",
-       "Name: generation, dtype: int64"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon.generation.value_counts()"
    ]
@@ -483,25 +192,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "5fe580d0-5939-4152-9f8c-4c32d35a4479",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "hp         69.25875\n",
-       "attack     79.00125\n",
-       "defense    73.84250\n",
-       "speed      68.27750\n",
-       "dtype: float64"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon[[\"hp\", \"attack\", \"defense\", \"speed\"]].mean()"
    ]
@@ -516,21 +210,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "dc69ef53-70cd-4ae0-80e7-c9c8e28de76f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.08125"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon.legendary.mean()"
    ]
@@ -555,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "8fbcc766-8399-4f93-a6c8-e0607250a72a",
    "metadata": {},
    "outputs": [],
@@ -573,7 +256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "b7f910c8-3d40-49ae-b270-678734c04100",
    "metadata": {},
    "outputs": [],
@@ -591,7 +274,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "f3891188-a85f-4089-8388-d4d81c7438ad",
    "metadata": {},
    "outputs": [],
@@ -614,251 +297,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "12c0c6c9-c07b-4183-82f6-5e346c74aac9",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "      <th>subtype</th>\n",
-       "      <th>total</th>\n",
-       "      <th>hp</th>\n",
-       "      <th>attack</th>\n",
-       "      <th>defense</th>\n",
-       "      <th>special_attack</th>\n",
-       "      <th>special_defense</th>\n",
-       "      <th>speed</th>\n",
-       "      <th>generation</th>\n",
-       "      <th>legendary</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>Articuno</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>580</td>\n",
-       "      <td>90</td>\n",
-       "      <td>85</td>\n",
-       "      <td>100</td>\n",
-       "      <td>95</td>\n",
-       "      <td>125</td>\n",
-       "      <td>85</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>157</th>\n",
-       "      <td>Zapdos</td>\n",
-       "      <td>Electric</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>580</td>\n",
-       "      <td>90</td>\n",
-       "      <td>90</td>\n",
-       "      <td>85</td>\n",
-       "      <td>125</td>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>158</th>\n",
-       "      <td>Moltres</td>\n",
-       "      <td>Fire</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>580</td>\n",
-       "      <td>90</td>\n",
-       "      <td>100</td>\n",
-       "      <td>90</td>\n",
-       "      <td>125</td>\n",
-       "      <td>85</td>\n",
-       "      <td>90</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>162</th>\n",
-       "      <td>Mewtwo</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>680</td>\n",
-       "      <td>106</td>\n",
-       "      <td>110</td>\n",
-       "      <td>90</td>\n",
-       "      <td>154</td>\n",
-       "      <td>90</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>163</th>\n",
-       "      <td>MewtwoMega Mewtwo X</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>Fighting</td>\n",
-       "      <td>780</td>\n",
-       "      <td>106</td>\n",
-       "      <td>190</td>\n",
-       "      <td>100</td>\n",
-       "      <td>154</td>\n",
-       "      <td>100</td>\n",
-       "      <td>130</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>795</th>\n",
-       "      <td>Diancie</td>\n",
-       "      <td>Rock</td>\n",
-       "      <td>Fairy</td>\n",
-       "      <td>600</td>\n",
-       "      <td>50</td>\n",
-       "      <td>100</td>\n",
-       "      <td>150</td>\n",
-       "      <td>100</td>\n",
-       "      <td>150</td>\n",
-       "      <td>50</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>796</th>\n",
-       "      <td>DiancieMega Diancie</td>\n",
-       "      <td>Rock</td>\n",
-       "      <td>Fairy</td>\n",
-       "      <td>700</td>\n",
-       "      <td>50</td>\n",
-       "      <td>160</td>\n",
-       "      <td>110</td>\n",
-       "      <td>160</td>\n",
-       "      <td>110</td>\n",
-       "      <td>110</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>797</th>\n",
-       "      <td>HoopaHoopa Confined</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>Ghost</td>\n",
-       "      <td>600</td>\n",
-       "      <td>80</td>\n",
-       "      <td>110</td>\n",
-       "      <td>60</td>\n",
-       "      <td>150</td>\n",
-       "      <td>130</td>\n",
-       "      <td>70</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>798</th>\n",
-       "      <td>HoopaHoopa Unbound</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>Dark</td>\n",
-       "      <td>680</td>\n",
-       "      <td>80</td>\n",
-       "      <td>160</td>\n",
-       "      <td>60</td>\n",
-       "      <td>170</td>\n",
-       "      <td>130</td>\n",
-       "      <td>80</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>799</th>\n",
-       "      <td>Volcanion</td>\n",
-       "      <td>Fire</td>\n",
-       "      <td>Water</td>\n",
-       "      <td>600</td>\n",
-       "      <td>80</td>\n",
-       "      <td>110</td>\n",
-       "      <td>120</td>\n",
-       "      <td>130</td>\n",
-       "      <td>90</td>\n",
-       "      <td>70</td>\n",
-       "      <td>6</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>65 rows × 12 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                    name      type   subtype  total   hp  attack  defense  \\\n",
-       "156             Articuno       Ice    Flying    580   90      85      100   \n",
-       "157               Zapdos  Electric    Flying    580   90      90       85   \n",
-       "158              Moltres      Fire    Flying    580   90     100       90   \n",
-       "162               Mewtwo   Psychic       NaN    680  106     110       90   \n",
-       "163  MewtwoMega Mewtwo X   Psychic  Fighting    780  106     190      100   \n",
-       "..                   ...       ...       ...    ...  ...     ...      ...   \n",
-       "795              Diancie      Rock     Fairy    600   50     100      150   \n",
-       "796  DiancieMega Diancie      Rock     Fairy    700   50     160      110   \n",
-       "797  HoopaHoopa Confined   Psychic     Ghost    600   80     110       60   \n",
-       "798   HoopaHoopa Unbound   Psychic      Dark    680   80     160       60   \n",
-       "799            Volcanion      Fire     Water    600   80     110      120   \n",
-       "\n",
-       "     special_attack  special_defense  speed  generation  legendary  \n",
-       "156              95              125     85           1       True  \n",
-       "157             125               90    100           1       True  \n",
-       "158             125               85     90           1       True  \n",
-       "162             154               90    130           1       True  \n",
-       "163             154              100    130           1       True  \n",
-       "..              ...              ...    ...         ...        ...  \n",
-       "795             100              150     50           6       True  \n",
-       "796             160              110    110           6       True  \n",
-       "797             150              130     70           6       True  \n",
-       "798             170              130     80           6       True  \n",
-       "799             130               90     70           6       True  \n",
-       "\n",
-       "[65 rows x 12 columns]"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "legendary = pokemon[pokemon.legendary]\n",
     "legendary"
@@ -874,32 +316,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "5d089acf-7b76-4f91-8803-42a4a9a11e3e",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0      False\n",
-       "1      False\n",
-       "2      False\n",
-       "3      False\n",
-       "4      False\n",
-       "       ...  \n",
-       "795    False\n",
-       "796    False\n",
-       "797    False\n",
-       "798    False\n",
-       "799    False\n",
-       "Name: type, Length: 800, dtype: bool"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon.type == \"Ice\""
    ]
@@ -914,469 +334,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "510fa0fc-2b38-4725-9bbf-ec57d62792be",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "      <th>subtype</th>\n",
-       "      <th>total</th>\n",
-       "      <th>hp</th>\n",
-       "      <th>attack</th>\n",
-       "      <th>defense</th>\n",
-       "      <th>special_attack</th>\n",
-       "      <th>special_defense</th>\n",
-       "      <th>speed</th>\n",
-       "      <th>generation</th>\n",
-       "      <th>legendary</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>133</th>\n",
-       "      <td>Jynx</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>455</td>\n",
-       "      <td>65</td>\n",
-       "      <td>50</td>\n",
-       "      <td>35</td>\n",
-       "      <td>115</td>\n",
-       "      <td>95</td>\n",
-       "      <td>95</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>Articuno</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>580</td>\n",
-       "      <td>90</td>\n",
-       "      <td>85</td>\n",
-       "      <td>100</td>\n",
-       "      <td>95</td>\n",
-       "      <td>125</td>\n",
-       "      <td>85</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>238</th>\n",
-       "      <td>Swinub</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ground</td>\n",
-       "      <td>250</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>40</td>\n",
-       "      <td>30</td>\n",
-       "      <td>30</td>\n",
-       "      <td>50</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>239</th>\n",
-       "      <td>Piloswine</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ground</td>\n",
-       "      <td>450</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>80</td>\n",
-       "      <td>60</td>\n",
-       "      <td>60</td>\n",
-       "      <td>50</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>243</th>\n",
-       "      <td>Delibird</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>330</td>\n",
-       "      <td>45</td>\n",
-       "      <td>55</td>\n",
-       "      <td>45</td>\n",
-       "      <td>65</td>\n",
-       "      <td>45</td>\n",
-       "      <td>75</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>257</th>\n",
-       "      <td>Smoochum</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>305</td>\n",
-       "      <td>45</td>\n",
-       "      <td>30</td>\n",
-       "      <td>15</td>\n",
-       "      <td>85</td>\n",
-       "      <td>65</td>\n",
-       "      <td>65</td>\n",
-       "      <td>2</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>395</th>\n",
-       "      <td>Snorunt</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>300</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>396</th>\n",
-       "      <td>Glalie</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>480</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>397</th>\n",
-       "      <td>GlalieMega Glalie</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>580</td>\n",
-       "      <td>80</td>\n",
-       "      <td>120</td>\n",
-       "      <td>80</td>\n",
-       "      <td>120</td>\n",
-       "      <td>80</td>\n",
-       "      <td>100</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>398</th>\n",
-       "      <td>Spheal</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Water</td>\n",
-       "      <td>290</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\n",
-       "      <td>50</td>\n",
-       "      <td>55</td>\n",
-       "      <td>50</td>\n",
-       "      <td>25</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>399</th>\n",
-       "      <td>Sealeo</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Water</td>\n",
-       "      <td>410</td>\n",
-       "      <td>90</td>\n",
-       "      <td>60</td>\n",
-       "      <td>70</td>\n",
-       "      <td>75</td>\n",
-       "      <td>70</td>\n",
-       "      <td>45</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>400</th>\n",
-       "      <td>Walrein</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Water</td>\n",
-       "      <td>530</td>\n",
-       "      <td>110</td>\n",
-       "      <td>80</td>\n",
-       "      <td>90</td>\n",
-       "      <td>95</td>\n",
-       "      <td>90</td>\n",
-       "      <td>65</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>415</th>\n",
-       "      <td>Regice</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>580</td>\n",
-       "      <td>80</td>\n",
-       "      <td>50</td>\n",
-       "      <td>100</td>\n",
-       "      <td>100</td>\n",
-       "      <td>200</td>\n",
-       "      <td>50</td>\n",
-       "      <td>3</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>522</th>\n",
-       "      <td>Glaceon</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>525</td>\n",
-       "      <td>65</td>\n",
-       "      <td>60</td>\n",
-       "      <td>110</td>\n",
-       "      <td>130</td>\n",
-       "      <td>95</td>\n",
-       "      <td>65</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>524</th>\n",
-       "      <td>Mamoswine</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ground</td>\n",
-       "      <td>530</td>\n",
-       "      <td>110</td>\n",
-       "      <td>130</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>60</td>\n",
-       "      <td>80</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>530</th>\n",
-       "      <td>Froslass</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ghost</td>\n",
-       "      <td>480</td>\n",
-       "      <td>70</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>110</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>643</th>\n",
-       "      <td>Vanillite</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>305</td>\n",
-       "      <td>36</td>\n",
-       "      <td>50</td>\n",
-       "      <td>50</td>\n",
-       "      <td>65</td>\n",
-       "      <td>60</td>\n",
-       "      <td>44</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>644</th>\n",
-       "      <td>Vanillish</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>395</td>\n",
-       "      <td>51</td>\n",
-       "      <td>65</td>\n",
-       "      <td>65</td>\n",
-       "      <td>80</td>\n",
-       "      <td>75</td>\n",
-       "      <td>59</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>645</th>\n",
-       "      <td>Vanilluxe</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>535</td>\n",
-       "      <td>71</td>\n",
-       "      <td>95</td>\n",
-       "      <td>85</td>\n",
-       "      <td>110</td>\n",
-       "      <td>95</td>\n",
-       "      <td>79</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>674</th>\n",
-       "      <td>Cubchoo</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>305</td>\n",
-       "      <td>55</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\n",
-       "      <td>60</td>\n",
-       "      <td>40</td>\n",
-       "      <td>40</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>675</th>\n",
-       "      <td>Beartic</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>485</td>\n",
-       "      <td>95</td>\n",
-       "      <td>110</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>80</td>\n",
-       "      <td>50</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>676</th>\n",
-       "      <td>Cryogonal</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>485</td>\n",
-       "      <td>70</td>\n",
-       "      <td>50</td>\n",
-       "      <td>30</td>\n",
-       "      <td>95</td>\n",
-       "      <td>135</td>\n",
-       "      <td>105</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>788</th>\n",
-       "      <td>Bergmite</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>304</td>\n",
-       "      <td>55</td>\n",
-       "      <td>69</td>\n",
-       "      <td>85</td>\n",
-       "      <td>32</td>\n",
-       "      <td>35</td>\n",
-       "      <td>28</td>\n",
-       "      <td>6</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>789</th>\n",
-       "      <td>Avalugg</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>514</td>\n",
-       "      <td>95</td>\n",
-       "      <td>117</td>\n",
-       "      <td>184</td>\n",
-       "      <td>44</td>\n",
-       "      <td>46</td>\n",
-       "      <td>28</td>\n",
-       "      <td>6</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  name type  subtype  total   hp  attack  defense  \\\n",
-       "133               Jynx  Ice  Psychic    455   65      50       35   \n",
-       "156           Articuno  Ice   Flying    580   90      85      100   \n",
-       "238             Swinub  Ice   Ground    250   50      50       40   \n",
-       "239          Piloswine  Ice   Ground    450  100     100       80   \n",
-       "243           Delibird  Ice   Flying    330   45      55       45   \n",
-       "257           Smoochum  Ice  Psychic    305   45      30       15   \n",
-       "395            Snorunt  Ice      NaN    300   50      50       50   \n",
-       "396             Glalie  Ice      NaN    480   80      80       80   \n",
-       "397  GlalieMega Glalie  Ice      NaN    580   80     120       80   \n",
-       "398             Spheal  Ice    Water    290   70      40       50   \n",
-       "399             Sealeo  Ice    Water    410   90      60       70   \n",
-       "400            Walrein  Ice    Water    530  110      80       90   \n",
-       "415             Regice  Ice      NaN    580   80      50      100   \n",
-       "522            Glaceon  Ice      NaN    525   65      60      110   \n",
-       "524          Mamoswine  Ice   Ground    530  110     130       80   \n",
-       "530           Froslass  Ice    Ghost    480   70      80       70   \n",
-       "643          Vanillite  Ice      NaN    305   36      50       50   \n",
-       "644          Vanillish  Ice      NaN    395   51      65       65   \n",
-       "645          Vanilluxe  Ice      NaN    535   71      95       85   \n",
-       "674            Cubchoo  Ice      NaN    305   55      70       40   \n",
-       "675            Beartic  Ice      NaN    485   95     110       80   \n",
-       "676          Cryogonal  Ice      NaN    485   70      50       30   \n",
-       "788           Bergmite  Ice      NaN    304   55      69       85   \n",
-       "789            Avalugg  Ice      NaN    514   95     117      184   \n",
-       "\n",
-       "     special_attack  special_defense  speed  generation  legendary  \n",
-       "133             115               95     95           1      False  \n",
-       "156              95              125     85           1       True  \n",
-       "238              30               30     50           2      False  \n",
-       "239              60               60     50           2      False  \n",
-       "243              65               45     75           2      False  \n",
-       "257              85               65     65           2      False  \n",
-       "395              50               50     50           3      False  \n",
-       "396              80               80     80           3      False  \n",
-       "397             120               80    100           3      False  \n",
-       "398              55               50     25           3      False  \n",
-       "399              75               70     45           3      False  \n",
-       "400              95               90     65           3      False  \n",
-       "415             100              200     50           3       True  \n",
-       "522             130               95     65           4      False  \n",
-       "524              70               60     80           4      False  \n",
-       "530              80               70    110           4      False  \n",
-       "643              65               60     44           5      False  \n",
-       "644              80               75     59           5      False  \n",
-       "645             110               95     79           5      False  \n",
-       "674              60               40     40           5      False  \n",
-       "675              70               80     50           5      False  \n",
-       "676              95              135    105           5      False  \n",
-       "788              32               35     28           6      False  \n",
-       "789              44               46     28           6      False  "
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ice = pokemon[pokemon.type == \"Ice\"]\n",
     "ice"
@@ -1392,180 +353,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "05d4c5c2-c6b4-4795-9799-c884b15445a1",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>name</th>\n",
-       "      <th>type</th>\n",
-       "      <th>subtype</th>\n",
-       "      <th>total</th>\n",
-       "      <th>hp</th>\n",
-       "      <th>attack</th>\n",
-       "      <th>defense</th>\n",
-       "      <th>special_attack</th>\n",
-       "      <th>special_defense</th>\n",
-       "      <th>speed</th>\n",
-       "      <th>generation</th>\n",
-       "      <th>legendary</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>133</th>\n",
-       "      <td>Jynx</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Psychic</td>\n",
-       "      <td>455</td>\n",
-       "      <td>65</td>\n",
-       "      <td>50</td>\n",
-       "      <td>35</td>\n",
-       "      <td>115</td>\n",
-       "      <td>95</td>\n",
-       "      <td>95</td>\n",
-       "      <td>1</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>Articuno</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Flying</td>\n",
-       "      <td>580</td>\n",
-       "      <td>90</td>\n",
-       "      <td>85</td>\n",
-       "      <td>100</td>\n",
-       "      <td>95</td>\n",
-       "      <td>125</td>\n",
-       "      <td>85</td>\n",
-       "      <td>1</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>396</th>\n",
-       "      <td>Glalie</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>480</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>80</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>397</th>\n",
-       "      <td>GlalieMega Glalie</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>580</td>\n",
-       "      <td>80</td>\n",
-       "      <td>120</td>\n",
-       "      <td>80</td>\n",
-       "      <td>120</td>\n",
-       "      <td>80</td>\n",
-       "      <td>100</td>\n",
-       "      <td>3</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>524</th>\n",
-       "      <td>Mamoswine</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ground</td>\n",
-       "      <td>530</td>\n",
-       "      <td>110</td>\n",
-       "      <td>130</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>60</td>\n",
-       "      <td>80</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>530</th>\n",
-       "      <td>Froslass</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>Ghost</td>\n",
-       "      <td>480</td>\n",
-       "      <td>70</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>80</td>\n",
-       "      <td>70</td>\n",
-       "      <td>110</td>\n",
-       "      <td>4</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>676</th>\n",
-       "      <td>Cryogonal</td>\n",
-       "      <td>Ice</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>485</td>\n",
-       "      <td>70</td>\n",
-       "      <td>50</td>\n",
-       "      <td>30</td>\n",
-       "      <td>95</td>\n",
-       "      <td>135</td>\n",
-       "      <td>105</td>\n",
-       "      <td>5</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                  name type  subtype  total   hp  attack  defense  \\\n",
-       "133               Jynx  Ice  Psychic    455   65      50       35   \n",
-       "156           Articuno  Ice   Flying    580   90      85      100   \n",
-       "396             Glalie  Ice      NaN    480   80      80       80   \n",
-       "397  GlalieMega Glalie  Ice      NaN    580   80     120       80   \n",
-       "524          Mamoswine  Ice   Ground    530  110     130       80   \n",
-       "530           Froslass  Ice    Ghost    480   70      80       70   \n",
-       "676          Cryogonal  Ice      NaN    485   70      50       30   \n",
-       "\n",
-       "     special_attack  special_defense  speed  generation  legendary  \n",
-       "133             115               95     95           1      False  \n",
-       "156              95              125     85           1       True  \n",
-       "396              80               80     80           3      False  \n",
-       "397             120               80    100           3      False  \n",
-       "524              70               60     80           4      False  \n",
-       "530              80               70    110           4      False  \n",
-       "676              95              135    105           5      False  "
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "high_speed_ice = pokemon[(pokemon.type == \"Ice\") & (pokemon.speed >= 80)]\n",
     "high_speed_ice"
@@ -1591,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "198cb0c6-3f43-43c2-9eee-3939c12ea537",
    "metadata": {},
    "outputs": [],
@@ -1617,7 +408,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "8a8c1ad6-4c1e-4996-ab5e-5212dadb1851",
    "metadata": {},
    "outputs": [],
@@ -1642,7 +433,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "315682ae-7d54-4d78-9a63-d23c83ba1576",
    "metadata": {},
    "outputs": [],
@@ -1666,40 +457,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "069ea0ab-eff6-4985-9f46-db956fe1df91",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "type\n",
-       "Fairy        48.588235\n",
-       "Steel        55.259259\n",
-       "Rock         55.909091\n",
-       "Bug          61.681159\n",
-       "Grass        61.928571\n",
-       "Ice          63.458333\n",
-       "Poison       63.571429\n",
-       "Ground       63.906250\n",
-       "Ghost        64.343750\n",
-       "Water        65.964286\n",
-       "Fighting     66.074074\n",
-       "Normal       71.551020\n",
-       "Fire         74.442308\n",
-       "Dark         76.161290\n",
-       "Psychic      81.491228\n",
-       "Dragon       83.031250\n",
-       "Electric     84.500000\n",
-       "Flying      102.500000\n",
-       "Name: speed, dtype: float64"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pokemon.groupby(\"type\").speed.mean().sort_values()"
    ]
@@ -1714,183 +475,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "5c420c0e-b5d2-49ae-ab98-3305ee076169",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>hp</th>\n",
-       "      <th>attack</th>\n",
-       "      <th>defense</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>type</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Bug</th>\n",
-       "      <td>56.884058</td>\n",
-       "      <td>70.971014</td>\n",
-       "      <td>70.724638</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Electric</th>\n",
-       "      <td>59.795455</td>\n",
-       "      <td>69.090909</td>\n",
-       "      <td>66.295455</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ghost</th>\n",
-       "      <td>64.437500</td>\n",
-       "      <td>73.781250</td>\n",
-       "      <td>81.187500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Steel</th>\n",
-       "      <td>65.222222</td>\n",
-       "      <td>92.703704</td>\n",
-       "      <td>126.370370</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Rock</th>\n",
-       "      <td>65.363636</td>\n",
-       "      <td>92.863636</td>\n",
-       "      <td>100.795455</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Dark</th>\n",
-       "      <td>66.806452</td>\n",
-       "      <td>88.387097</td>\n",
-       "      <td>70.225806</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Poison</th>\n",
-       "      <td>67.250000</td>\n",
-       "      <td>74.678571</td>\n",
-       "      <td>68.821429</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Grass</th>\n",
-       "      <td>67.271429</td>\n",
-       "      <td>73.214286</td>\n",
-       "      <td>70.800000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Fighting</th>\n",
-       "      <td>69.851852</td>\n",
-       "      <td>96.777778</td>\n",
-       "      <td>65.925926</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Fire</th>\n",
-       "      <td>69.903846</td>\n",
-       "      <td>84.769231</td>\n",
-       "      <td>67.769231</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Psychic</th>\n",
-       "      <td>70.631579</td>\n",
-       "      <td>71.456140</td>\n",
-       "      <td>67.684211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Flying</th>\n",
-       "      <td>70.750000</td>\n",
-       "      <td>78.750000</td>\n",
-       "      <td>66.250000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ice</th>\n",
-       "      <td>72.000000</td>\n",
-       "      <td>72.750000</td>\n",
-       "      <td>71.416667</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Water</th>\n",
-       "      <td>72.062500</td>\n",
-       "      <td>74.151786</td>\n",
-       "      <td>72.946429</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ground</th>\n",
-       "      <td>73.781250</td>\n",
-       "      <td>95.750000</td>\n",
-       "      <td>84.843750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Fairy</th>\n",
-       "      <td>74.117647</td>\n",
-       "      <td>61.529412</td>\n",
-       "      <td>65.705882</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Normal</th>\n",
-       "      <td>77.275510</td>\n",
-       "      <td>73.469388</td>\n",
-       "      <td>59.846939</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Dragon</th>\n",
-       "      <td>83.312500</td>\n",
-       "      <td>112.125000</td>\n",
-       "      <td>86.375000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 hp      attack     defense\n",
-       "type                                       \n",
-       "Bug       56.884058   70.971014   70.724638\n",
-       "Electric  59.795455   69.090909   66.295455\n",
-       "Ghost     64.437500   73.781250   81.187500\n",
-       "Steel     65.222222   92.703704  126.370370\n",
-       "Rock      65.363636   92.863636  100.795455\n",
-       "Dark      66.806452   88.387097   70.225806\n",
-       "Poison    67.250000   74.678571   68.821429\n",
-       "Grass     67.271429   73.214286   70.800000\n",
-       "Fighting  69.851852   96.777778   65.925926\n",
-       "Fire      69.903846   84.769231   67.769231\n",
-       "Psychic   70.631579   71.456140   67.684211\n",
-       "Flying    70.750000   78.750000   66.250000\n",
-       "Ice       72.000000   72.750000   71.416667\n",
-       "Water     72.062500   74.151786   72.946429\n",
-       "Ground    73.781250   95.750000   84.843750\n",
-       "Fairy     74.117647   61.529412   65.705882\n",
-       "Normal    77.275510   73.469388   59.846939\n",
-       "Dragon    83.312500  112.125000   86.375000"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ptypes = pokemon.groupby(\"type\")\n",
     "ptypes[[\"hp\", \"attack\", \"defense\"]].mean().sort_values(\"hp\")"
@@ -1906,38 +494,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "444a580d-e70c-48a1-bf87-77f98b8c9f85",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "type      subtype \n",
-       "Electric  Flying      0.600000\n",
-       "Rock      Fairy       0.666667\n",
-       "Ghost     Dragon      1.000000\n",
-       "Ground    Fire        1.000000\n",
-       "Fire      Water       1.000000\n",
-       "          Steel       1.000000\n",
-       "Steel     Dragon      1.000000\n",
-       "Dragon    Electric    1.000000\n",
-       "Psychic   Ghost       1.000000\n",
-       "Dragon    Psychic     1.000000\n",
-       "          Ice         1.000000\n",
-       "Rock      Fighting    1.000000\n",
-       "Steel     Fighting    1.000000\n",
-       "Dragon    Fire        1.000000\n",
-       "Psychic   Dark        1.000000\n",
-       "          Fire        1.000000\n",
-       "Name: legendary, dtype: float64"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "legendary_percentages = pokemon.groupby([\"type\", \"subtype\"]).legendary.mean().sort_values() \n",
     "legendary_percentages[legendary_percentages > 0.5]"
@@ -1966,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "75c1ac4f-3914-4c0a-a156-2e084002df66",
    "metadata": {},
    "outputs": [],
@@ -1984,7 +544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "d46df8a1-bbc2-45a4-9be1-cee1858cbf21",
    "metadata": {},
    "outputs": [],
@@ -2006,7 +566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "b1e06e4f-6b9e-42af-a27c-dbb525a259ce",
    "metadata": {},
    "outputs": [],
@@ -2029,62 +589,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "5ce066fe-f81d-4b78-a394-c5c2f4dc9f46",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='attack', ylabel='Count'>"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.histplot(data=pokemon, x=\"attack\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "bceb253b-ef4f-4aa2-aef4-cab2b3ca6d59",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='Count', ylabel='attack'>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.histplot(data=pokemon, y=\"attack\", bins=5)"
    ]
@@ -2101,31 +619,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "92be1ad0-12bb-49f0-a3f6-85fcfd98e943",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='legendary', ylabel='hp'>"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAENCAYAAADkNanAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAXtElEQVR4nO3de1BU9/3/8dfCAtYgluAuWmIdNUbDjNXod1RaB4smYuSmwKRKE6K1NR0bonb0K1XQpAnxUlpitSa135hpHB1FY/DGYE1siErGa6tNamuT4DWWBTVWERDY/f2h2V/woxZU9qD7fPyz7u7hnLc76z73nGWPNo/H4xEAAF8TYPUAAIC2hzgAAAzEAQBgIA4AAANxAAAYiAMAwNCqcbh06ZISExN16tQpSdLatWuVmJiopKQk/eIXv9CVK1ckSUeOHFFaWpri4+M1Z84cNTQ0tOZYAID/otXicOjQIY0fP17Hjh2TJJWXl+vNN9/UmjVrtGnTJrndbq1evVqSNHPmTOXm5mrbtm3yeDwqLCxsrbEAAM3QanEoLCzUvHnz5HQ6JUnBwcF68cUXFRoaKpvNpkceeURffPGFTp8+rdraWvXv31+SlJqaqpKSktYaCwDQDPbWWnFeXl6T61FRUYqKipIknTt3TqtWrdL8+fPlcrnkcDi8yzkcDlVUVLTWWACAZvD5B9IVFRV69tlnlZaWpsGDB+tGZ++w2Wy+HgsA8DWttudwI5999pl+8pOf6Omnn9aPfvQjSVJkZKSqqqq8y1RWVnoPRbXE+fPVcrs5TRQANEdAgE3h4Q/c9H6fxeHSpUuaNGmSpk+frpSUFO/tUVFRCgkJ0YEDBzRw4EAVFRUpNja2xet3uz3EAQDuEp/FYf369aqqqtKKFSu0YsUKSdLw4cM1depU5efnKycnR9XV1YqOjlZmZqavxgIA3IDtfjll99mzl9hzAIBmCgiwKSIi9Ob3+3AWAMA9gjgAAAzEAQBgIA4AAANxAHBPOHhwv156aY4OHtxv9Sh+wadfggOA27Vu3WqVl3+u2toaDRjwP1aPc99jzwHAPaGmprbJJVoXcQAAGIgDAMBAHAAABuIAADAQBwCAgTgAAAzEAQBgIA4AAANxAAAYiAMAwEAcAAAG4gAAMBAHAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwAAAbiAAAwtGocLl26pMTERJ06dUqSVFZWpqSkJI0cOVIFBQXe5Y4cOaK0tDTFx8drzpw5amhoaM2xAAD/RavF4dChQxo/fryOHTsmSaqtrdXs2bO1bNkyFRcX6+OPP1ZpaakkaebMmcrNzdW2bdvk8XhUWFjYWmMBAJqh1eJQWFioefPmyel0SpIOHz6sbt26qWvXrrLb7UpKSlJJSYlOnz6t2tpa9e/fX5KUmpqqkpKS1hoLANAM9tZacV5eXpPrLpdLDofDe93pdKqiosK43eFwqKKiorXGAgA0Q6vF4Xoej8e4zWaz3fT2loqICL2tuQDcGwIDbd5Lh6ODxdPc/3wWh8jISFVVVXmvu1wuOZ1O4/bKykrvoaiWOHv2ktxuMzQA7g+NjR7vZWXlRYunufcFBNhu+abaZ7/K2q9fP5WXl+v48eNqbGzUli1bFBsbq6ioKIWEhOjAgQOSpKKiIsXGxvpqLADADfhszyEkJEQLFixQVlaW6urqNGzYMI0aNUqSlJ+fr5ycHFVXVys6OlqZmZm+GgsAcAM2z40O+t+DOKwE3N+mTZuif//7C3Xu/C299toyq8e557WZw0oAgHsHcQAAGIgDAMBAHAAABuIAADAQBwCAgTgAAAzEAQBg8Nk3pAHcnvCOwbIHh1g9huU48V5TDVfqdP7ClVZbP3FAEwcP7tfmze8qKWmsBgz4H6vHgSR7cIgOLPqx1WNYru58hfeSx0Ma+L//J4k4wEfWrVut8vLPVVtbQxwAP8ZnDmiipqa2ySUA/0QcAAAG4gAAMBAHAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwAAAbiAAAwEAcAgIE4AAAMxAEAYCAOAAADcQAAGIgDAMBgSRw2btyohIQEJSQkaOHChZKkI0eOKC0tTfHx8ZozZ44aGhqsGA0AIAviUFNTo7y8PK1cuVIbN27U/v37VVZWppkzZyo3N1fbtm2Tx+NRYWGhr0cDAFzj8zg0NjbK7XarpqZGDQ0NamhokN1uV21trfr37y9JSk1NVUlJia9HAwBcY/f1BkNDQzV16lQ9+eSTateunQYNGqSgoCA5HA7vMg6HQxUVFS1ab0RE6N0e1S8FBtq8lw5HB4unAXArrflv1Odx+Mc//qF33nlHf/7zn9WhQwfNmDFDu3fvNpaz2WwtWu/Zs5fkdnvu1ph+q7HR472srLxo8TSQWvcFAPe2O/k3GhBgu+Wbap8fVtq1a5diYmIUERGh4OBgpaamas+ePaqqqvIuU1lZKafT6evRAADX+DwOffr0UVlZmS5fviyPx6MdO3Zo0KBBCgkJ0YEDByRJRUVFio2N9fVoAIBrfH5YaejQofr73/+u1NRUBQUFqW/fvpo8ebKeeOIJ5eTkqLq6WtHR0crMzPT1aACAa3weB0maPHmyJk+e3OS2Pn36aP369VaMAwC4Dt+QBgAYiAMAwEAcAAAG4gAAMBAHAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwA3BNC7AFNLtG6eJQB3BNGPhyuHuHtNPLhcKtH8QuWnHgPAFrqUUd7Pepob/UYfoM9BwCAgTgAAAzEAQBgIA4AAANxAAAY+G2lazqEtVO7kCCrx7BcYKDNe+lwdLB4GuvV1tXr4n9qrR4D8DnicE27kCBl/O8qq8ewXFXVRUnSv6su8nhIWr3oh7oo4gD/w2ElAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwAAIZmfc+hsbFRa9as0a5duxQYGKi4uDilpaXd9kZ37NihpUuX6vLlyxo6dKhycnJUVlam+fPnq66uTk8++aSmT59+2+sHANyZZsXhlVde0aeffqqUlBR5PB698847OnHixG29gJ88eVLz5s3TunXrFBERoWeffValpaWaN2+eVq5cqS5duui5555TaWmphg0b1uL1AwDuXLPisHv3bm3dulVBQVdPL5GcnKzk5OTbisP27ds1evRode7cWZJUUFCg48ePq1u3burataskKSkpSSUlJcQBACzSrDiEh4ersbHRGwebzaawsLDb2uDx48cVFBSkSZMmqbKyUnFxcerVq5ccDod3GafTqYqKittaPwDgzjUrDj169FBGRoZSU1MVGBio4uJihYeH66233pIkTZw4sdkbbGxs1P79+7Vy5Uq1b99eU6ZM0Te+8Q1jOZvN1ux1SlJERGiLlgeaixMQoq1qzedms0+817t3b33yySeSpIceekiSdPTo0RZvsFOnToqJidGDDz4oSRoxYoRKSkoUGBjoXcblcsnpdLZovWfPXpLb7WnxPF/hBQA3U1l50dLt89zEzdzJczMgwHbLN9XNikNaWpqWLl2qs2fPNrl98+bNLR4oLi5Os2bN0n/+8x898MAD2rlzp0aNGqXly5fr+PHjeuihh7Rly5Y7+m0oAMCdaVYc5s6dq6eeekqPPvpoiw/3XK9fv3768Y9/rIyMDNXX1+t73/uexo8frx49eigrK0t1dXUaNmyYRo0adUfbAQDcvmbFITg4WBMmTLhrG01PT1d6enqT22JiYrRp06a7tg0AwO1r1jeke/Toob/97W+tPQsAoI245Z5DUlKSJKm6ulrjx49X165dZbf//x+5nc8cAABt3y3jkJub66s5AABtyC3jMGjQIF/NAQBoQzgrKwDAQBwAAAbiAAAwEAcAgIE4AAAMxAEAYCAOAAADcQAAGIgDAMBAHAAABuIAADAQBwCAgTgAAAzEAQBgIA4AAANxAAAYiAMAwEAcAAAG4gAAMBAHAICBOAAADMQBAGAgDmjCFhjU5BKAf7IsDgsXLlR2drYk6ciRI0pLS1N8fLzmzJmjhoYGq8bye6HfGqCg0M4K/dYAq0cBYCFL4vDRRx/p3Xff9V6fOXOmcnNztW3bNnk8HhUWFloxFiSFdOyqB3uPVkjHrlaPAsBCPo/Dl19+qYKCAv30pz+VJJ0+fVq1tbXq37+/JCk1NVUlJSW+HgsA8DU+j8PcuXM1ffp0hYWFSZJcLpccDof3fofDoYqKCl+PBQD4GrsvN7Zu3Tp16dJFMTEx2rBhgyTJ4/EYy9lsthavOyIi9I7nA27E4ehg9QjADbXmc9OncSguLlZlZaVSUlJ04cIFXb58WTabTVVVVd5lKisr5XQ6W7zus2cvye02Q9NcvADgZiorL1q6fZ6buJk7eW4GBNhu+abap3F46623vH/esGGD9u7dq/nz5ysxMVEHDhzQwIEDVVRUpNjYWF+OBQC4jk/jcDP5+fnKyclRdXW1oqOjlZmZafVIAODXLItDamqqUlNTJUl9+vTR+vXrrRoFAHAdviENADAQBwCAgTgAAAzEAQBgIA4AAANxAAAYiAMAwEAcAAAG4gAAMBAHAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwAAAbiAAAwEAcAgIE4AAAMxAEAYCAOAAADcQAAGIgDAMBAHAAABuIAADAQBwCAgTgAAAyWxGHp0qVKSEhQQkKCFi1aJEkqKytTUlKSRo4cqYKCAivGAgBc4/M4lJWVadeuXXr33XdVVFSkTz75RFu2bNHs2bO1bNkyFRcX6+OPP1ZpaamvRwMAXOPzODgcDmVnZys4OFhBQUHq2bOnjh07pm7duqlr166y2+1KSkpSSUmJr0cDAFzj8zj06tVL/fv3lyQdO3ZMxcXFstlscjgc3mWcTqcqKip8PRoA4Bq7VRv+17/+peeee06zZs2S3W5XeXl5k/ttNluL1hcREXo3xwO8HI4OVo8A3FBrPjcticOBAwf0wgsvaPbs2UpISNDevXtVVVXlvd/lcsnpdLZonWfPXpLb7bntmXgBwM1UVl60dPs8N3Ezd/LcDAiw3fJNtc8PK505c0Y/+9nPlJ+fr4SEBElSv379VF5eruPHj6uxsVFbtmxRbGysr0cDAFzj8z2HN998U3V1dVqwYIH3tnHjxmnBggXKyspSXV2dhg0bplGjRvl6NADANT6PQ05OjnJycm5436ZNm3w8DQDgRviGNADAQBwAAAbiAAAwEAcAgIE4AAAMxAEAYCAOAAADcQAAGIgDAMBAHAAABuIAADAQBwCAgTgAAAzEAQBgIA4AAANxAAAYiAMAwEAcAAAG4gAAMBAHAICBOAAADMQBAGAgDgAAA3EAABiIAwDAQBwAAAbiAAAwEAcAgKFNxWHz5s0aPXq0nnjiCa1atcrqcQDAb9mtHuArFRUVKigo0IYNGxQcHKxx48Zp8ODBevjhh60eDQD8TpuJQ1lZmYYMGaJvfvObkqT4+HiVlJTo+eefb9bPBwTY7niGTuEP3PE6cP+5G8+tOxUcFmH1CGiD7uS5+d9+ts3EweVyyeFweK87nU4dPny42T8ffhde2H/7izF3vA7cfyIiQq0eQX1/utDqEdAGteZzs8185uDxeIzbbDbr37EBgD9qM3GIjIxUVVWV97rL5ZLT6bRwIgDwX20mDt/97nf10Ucf6dy5c6qpqdGf/vQnxcbGWj0WAPilNvOZQ2RkpKZPn67MzEzV19crPT1d3/nOd6weCwD8ks1zo4P9AAC/1mYOKwEA2g7iAAAwEAcAgIE4AAAMbea3ldA6Tp06pVGjRqlnz55Nbn/jjTfUpUsXY/klS5ZIkrKysnwyH/DSSy/p4MGDqq+v14kTJ7zP1czMTKWlpVk8nf8iDn7A6XRq48aNVo8B3NC8efMkXX0jk5mZyXO1jeCwkp86evSonnnmGaWlpSkuLk5vv/12k/vr6+s1c+ZMjRkzRmPGjFFhYaEkqaqqSlOmTFFqaqrS0tJUVlZmxfjwA8OHD9e0adMUHx+vw4cPa/jw4d77lixZ4t3L/fDDD5Wenq4xY8bo+eef1/nz560a+b7CnoMfcLlcSklJ8V5PSkpSRUWFpkyZopiYGJ08eVLJycnKzMz0LvOXv/xFFy5cUFFRkc6fP6+FCxfqqaeeUl5entLS0jRixAi5XC5lZGSoqKhIoaHWn5wO95/Y2Fi99tprOnXq1A3vP3funH7961/r7bffVseOHbVmzRrl5+crLy/Px5Pef4iDH7jRYaXGxkbt3LlTv//97/XPf/5Tly9fbnJ/r169VF5erkmTJik2NlYzZsyQdPXU6p9//rl++9vfSpIaGhp08uRJPfroo775y8Cv9OvX75b3Hzp0SGfOnPG+sXG73erYsaMvRrvvEQc/NW3aNIWFhSkuLk6jR4/W1q1bm9wfHh6urVu3avfu3SotLdXYsWO1detWud1u/fGPf/T+vxsVFRXq1KmTBX8D+IOQkBBJV8/Q/PWTOTQ0NMhut6uxsVEDBgzQG2+8IUmqq6tTdXW1JbPeb/jMwU/t3r1bL7zwgh5//HHt27dP0tW9ia+8//77mjFjhr7//e8rJydH7du315kzZzRkyBCtXr1akvTpp58qOTlZNTU1lvwd4D/CwsJ04cIFnTt3TleuXNHOnTslXd2z+Otf/6ry8nJJ0rJly7Ro0SIrR71vsOfgp7KyspSRkaGwsDB1795dUVFRTY7rxsbGatu2bUpISFBISIhGjhyp3r17KycnR3PnzlVSUpIkadGiRXzegFbXoUMHTZo0Senp6ercubP69u0rSXI4HHr11Vc1bdo0ud1uRUZG6le/+pXF094fOPEeAMDAYSUAgIE4AAAMxAEAYCAOAAADcQAAGIgD/NaePXuUmJho6QyPPfbYTU8NAViJOAAADHwJDn7vypUrys/P1759+9TY2Kjo6Gjl5OQoNDRUhw8f1osvvqj6+np9+9vf1hdffKHs7GwNHjxYO3bs0Ouvv676+nq1a9dOs2bN0mOPPaYlS5bo9OnTqqys1OnTp/Xggw+qoKBAkZGR2r9/v15++WXZbDb17dtXbrdb0tVzAr366qs6dOiQqqur5fF49Morr2jgwIHKzs7Wl19+qZMnTyo2Nlbr169XYWGhunfvLkmaOHGifvjDH+rxxx+38mHEfYY9B/i95cuXKzAwUBs2bNCmTZvkdDqVn5+vhoYGZWVlaerUqdq8ebOeeeYZHTlyRJJ07NgxFRQUaPny5SoqKtLLL7+srKws7wkM9+/fr8WLF6ukpERhYWFau3atrly5oqlTpyo7O1tFRUUaPHiwamtrJV09gZzL5dLatWtVXFyssWPH6g9/+IN3xtraWm3dulWzZs3SmDFjtG7dOknSiRMnVF5erri4OB8/arjfsecAv/fBBx/o4sWL3v+bor6+XhERETp69KgkadiwYZKkIUOGqFevXpKunpvK5XJpwoQJ3vXYbDadOHFCkjRo0CDvaUWio6N14cIFHT16VHa7XTExMZKkxMREzZ07V9LVzx6+OuX0yZMntWfPHj3wwAPedQ8cOND754yMDD399NOaPn261q5dq/T0dAUGBrbGQwM/Rhzg99xut2bPnu2NQHV1terq6lRZWanrzy7z1Yuw2+1WTEyMXnvtNe99Z86ckdPp1Pbt29WuXTvv7V+dUfT6M4tKkt1+9Z/gBx98oLy8PE2cOFEjRoxQjx49tGnTJu9y7du39/65e/fu6t27t95//31t3rzZuxcB3E0cVoLfGzp0qFatWqUrV67I7XYrNzdXv/nNb9SzZ08FBwfrww8/lCQdPnxYR48elc1m05AhQ7R792599tlnkqTS0lIlJyerrq7uptt55JFH5PF4VFpaKunqmW8vXLgg6eqeSFxcnDIyMtS3b1+99957Tc6Se72MjAwtWrRI/fr1U2Rk5N16KAAv4gC/N2XKFEVFRWns2LEaPXq0PB6PsrOzZbfbtWTJEi1dulRjxozRihUr1KlTJ7Vr1069evXSL3/5S/385z9XcnKyFi9erNdff73JO/zrBQUF6Xe/+50WL16slJQUbd++XREREZKkcePGad++fUpKStIPfvADde3aVadOnfJ+YH29uLg4Xb58WePGjWuVxwTgrKzALSxcuFCTJk1Sp06ddObMGaWkpOi9995TWFiYpXMdPHhQubm52rJli2w2m6Wz4P7EZw7ALURFRWnChAmy2+3eXy+1OgyzZs3S3r17tXDhQsKAVsOeAwDAwGcOAAADcQAAGIgDAMBAHAAABuIAADAQBwCA4f8BscrFkWxj6RkAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.barplot(data=pokemon, x=\"legendary\", y=\"hp\", ci=\"sd\")"
    ]
@@ -2140,31 +637,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "id": "17f1c289-5990-4420-bfcb-e50eee0b8af6",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='hp', ylabel='type'>"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.barplot(data=pokemon, x=\"hp\", y=\"type\", ci=None, palette=\"muted\")"
    ]
@@ -2181,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "id": "3c8e9f47-9aea-4bf0-a628-7aa1a66a8eee",
    "metadata": {},
    "outputs": [],
@@ -2193,31 +669,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "id": "22f78bec-3d18-4133-ba9f-6595d7181ded",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='speed_category', ylabel='count'>"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.countplot(data=pokemon, x=\"speed_category\", hue=\"legendary\")"
    ]
@@ -2234,31 +689,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "id": "444d9832-bd57-4238-9ea4-5ee898847170",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='hp', ylabel='speed'>"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\")"
    ]
@@ -2273,31 +707,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "id": "86f9747b-00a3-407f-9b73-0bce40bac50d",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='hp', ylabel='speed'>"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.scatterplot(data=pokemon, x=\"hp\", y=\"speed\", hue=\"legendary\", alpha=0.5, s=60)"
    ]
@@ -2312,31 +725,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "id": "7385237c-6a5c-4041-af46-559d6d84d1fa",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<seaborn.axisgrid.FacetGrid at 0x12f7fa880>"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1146.35x360 with 3 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "favorite_types = pokemon[pokemon.type.isin([\"Fire\", \"Water\", \"Grass\"])]\n",
     "sns.relplot(data=favorite_types, x=\"hp\", y=\"speed\", hue=\"legendary\", col=\"type\", s=100)"
@@ -2354,7 +746,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "id": "3b268a30-42ff-4ab8-b2cd-c58a76121f9c",
    "metadata": {},
    "outputs": [],
@@ -2372,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "id": "ee30c851-14b1-4901-9182-4304d54d53a6",
    "metadata": {},
    "outputs": [],
@@ -2390,7 +782,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "id": "13eeecd8-2518-4ed9-aac5-727a96b5bf80",
    "metadata": {},
    "outputs": [],
@@ -2408,7 +800,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "id": "4ee2eb69-2f9a-42e7-b5d3-9499631bfd06",
    "metadata": {},
    "outputs": [],
@@ -2426,7 +818,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "id": "d7e02da8-beab-40e7-95d0-74a5c2bc838e",
    "metadata": {},
    "outputs": [],
@@ -2444,7 +836,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "id": "b00dd7d6-226b-469c-86d8-b71b328aa576",
    "metadata": {},
    "outputs": [],
@@ -2472,7 +864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "id": "6f934273-b829-4bc2-a7f4-a27a3fc44a99",
    "metadata": {},
    "outputs": [],
@@ -2505,7 +897,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.11.3"
   }
  },
  "nbformat": 4,
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 56e79b8..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-pandas
-seaborn