diff --git a/notebooks/dataframes/dataframe.ipynb b/notebooks/dataframes/dataframe.ipynb
index 85ea61d281..c6b276af87 100644
--- a/notebooks/dataframes/dataframe.ipynb
+++ b/notebooks/dataframes/dataframe.ipynb
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@@ -4121,12 +4135,12 @@
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@@ -4698,12 +4712,12 @@
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@@ -4916,12 +4930,12 @@
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        "version_minor": 0
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@@ -4930,12 +4944,12 @@
     {
      "data": {
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-       "model_id": "15e37772dd2548979cb715a1acf401cc",
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        "version_minor": 0
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-       "HTML(value='Query job 981e3e0d-6e87-49f4-8684-f83cf69cffe5 is DONE. 193.8 kB processed. <a target=\"_blank\" hre…"
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       ]
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      "metadata": {},
@@ -5137,6 +5151,147 @@
    "source": [
     "df4 + 1"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "162eede7",
+   "metadata": {},
+   "source": [
+    "### Download the result as (in-memory) pandas DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "ab429fa5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "39eda5e2b7984f8f90a441c31b62a675",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job f3b7ff8a-ffdc-4f4c-91d3-6c2c702c373d is DONE. 193.8 kB processed. <a target=\"_blank\" hre…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "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>year</th>\n",
+       "      <th>duration_minutes</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>189</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>222</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>164</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2426</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>156</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2427</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2428</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>243</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2429</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>184</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2430</th>\n",
+       "      <td>2016</td>\n",
+       "      <td>185</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2431 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      year  duration_minutes\n",
+       "0     2016               187\n",
+       "1     2016               189\n",
+       "2     2016               165\n",
+       "3     2016               222\n",
+       "4     2016               164\n",
+       "...    ...               ...\n",
+       "2426  2016               156\n",
+       "2427  2016               185\n",
+       "2428  2016               243\n",
+       "2429  2016               184\n",
+       "2430  2016               185\n",
+       "\n",
+       "[2431 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfp = df4.to_pandas()\n",
+    "dfp"
+   ]
   }
  ],
  "metadata": {
@@ -5155,7 +5310,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/getting_started/ml_fundamentals.ipynb b/notebooks/getting_started/ml_fundamentals.ipynb
index e48aff1d57..2f566dd704 100644
--- a/notebooks/getting_started/ml_fundamentals.ipynb
+++ b/notebooks/getting_started/ml_fundamentals.ipynb
@@ -14,18 +14,18 @@
   },
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@@ -34,12 +34,12 @@
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@@ -48,12 +48,12 @@
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-       "HTML(value='Query job 8cf61cc4-94b1-48f3-8230-c769c1b42185 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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@@ -458,7 +458,7 @@
        "[334 rows x 7 columns]"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 18,
      "metadata": {},
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     }
@@ -490,18 +490,18 @@
   },
   {
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-   "execution_count": 2,
+   "execution_count": 19,
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     {
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-       "HTML(value='Query job 7ebf9d82-751c-4e02-bf5d-e8fa207539eb is DONE. 28.9 kB processed. <a target=\"_blank\" href…"
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@@ -524,12 +524,12 @@
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-       "HTML(value='Query job 1f190e5d-7e2c-4aad-8ffe-5d6931a4f069 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -552,12 +552,12 @@
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+       "HTML(value='Query job cb5ee343-f86e-4795-b0ce-d58854e72e5c is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -596,18 +596,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 20,
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     {
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-       "HTML(value='Query job d183d82d-e05a-41c1-be4b-8487875e52ea is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
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@@ -616,26 +616,12 @@
     {
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-       "HTML(value='Query job 15ee740d-09c8-45e2-a3da-ccae2d4d21eb is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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@@ -681,76 +667,76 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>241</th>\n",
+       "      <th>156</th>\n",
        "      <td>Biscoe</td>\n",
        "      <td>46.2</td>\n",
-       "      <td>14.9</td>\n",
-       "      <td>221.0</td>\n",
-       "      <td>MALE</td>\n",
-       "      <td>Gentoo penguin (Pygoscelis papua)</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>121</th>\n",
-       "      <td>Dream</td>\n",
-       "      <td>48.1</td>\n",
-       "      <td>16.4</td>\n",
-       "      <td>199.0</td>\n",
+       "      <td>14.5</td>\n",
+       "      <td>209.0</td>\n",
        "      <td>FEMALE</td>\n",
-       "      <td>Chinstrap penguin (Pygoscelis antarctica)</td>\n",
+       "      <td>Gentoo penguin (Pygoscelis papua)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>209</th>\n",
+       "      <th>189</th>\n",
        "      <td>Biscoe</td>\n",
-       "      <td>42.7</td>\n",
-       "      <td>18.3</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>MALE</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>18.9</td>\n",
+       "      <td>187.0</td>\n",
+       "      <td>FEMALE</td>\n",
        "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>270</th>\n",
+       "      <th>279</th>\n",
        "      <td>Biscoe</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>16.0</td>\n",
-       "      <td>183.0</td>\n",
+       "      <td>45.1</td>\n",
+       "      <td>14.5</td>\n",
+       "      <td>215.0</td>\n",
        "      <td>FEMALE</td>\n",
-       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
+       "      <td>Gentoo penguin (Pygoscelis papua)</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>187</th>\n",
+       "      <th>245</th>\n",
        "      <td>Biscoe</td>\n",
-       "      <td>43.4</td>\n",
-       "      <td>14.4</td>\n",
-       "      <td>218.0</td>\n",
-       "      <td>FEMALE</td>\n",
+       "      <td>49.5</td>\n",
+       "      <td>16.2</td>\n",
+       "      <td>229.0</td>\n",
+       "      <td>MALE</td>\n",
        "      <td>Gentoo penguin (Pygoscelis papua)</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>343</th>\n",
+       "      <td>Torgersen</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>MALE</td>\n",
+       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows × 6 columns</p>\n",
        "</div>[5 rows x 6 columns in total]"
       ],
       "text/plain": [
-       "            island  culmen_length_mm  culmen_depth_mm  flipper_length_mm  \\\n",
-       "penguin_id                                                                 \n",
-       "241         Biscoe              46.2             14.9              221.0   \n",
-       "121          Dream              48.1             16.4              199.0   \n",
-       "209         Biscoe              42.7             18.3              196.0   \n",
-       "270         Biscoe              37.7             16.0              183.0   \n",
-       "187         Biscoe              43.4             14.4              218.0   \n",
+       "               island  culmen_length_mm  culmen_depth_mm  flipper_length_mm  \\\n",
+       "penguin_id                                                                    \n",
+       "156            Biscoe              46.2             14.5              209.0   \n",
+       "189            Biscoe              35.3             18.9              187.0   \n",
+       "279            Biscoe              45.1             14.5              215.0   \n",
+       "245            Biscoe              49.5             16.2              229.0   \n",
+       "343         Torgersen              37.3             20.5              199.0   \n",
        "\n",
-       "               sex                                    species  \n",
-       "penguin_id                                                     \n",
-       "241           MALE          Gentoo penguin (Pygoscelis papua)  \n",
-       "121         FEMALE  Chinstrap penguin (Pygoscelis antarctica)  \n",
-       "209           MALE        Adelie Penguin (Pygoscelis adeliae)  \n",
-       "270         FEMALE        Adelie Penguin (Pygoscelis adeliae)  \n",
-       "187         FEMALE          Gentoo penguin (Pygoscelis papua)  \n",
+       "               sex                              species  \n",
+       "penguin_id                                               \n",
+       "156         FEMALE    Gentoo penguin (Pygoscelis papua)  \n",
+       "189         FEMALE  Adelie Penguin (Pygoscelis adeliae)  \n",
+       "279         FEMALE    Gentoo penguin (Pygoscelis papua)  \n",
+       "245           MALE    Gentoo penguin (Pygoscelis papua)  \n",
+       "343           MALE  Adelie Penguin (Pygoscelis adeliae)  \n",
        "\n",
        "[5 rows x 6 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -763,18 +749,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f09b707c5c9540cdae59af3765339b6e",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 9f0cf977-a895-41fa-9f33-8b5346c62786 is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job d5a173bd-a7dc-42fa-8468-b088d47ccfe0 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -783,26 +769,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c49f8fa7500548b18cbff2e66231037d",
+       "model_id": "a8ab7ca12e0d43a6803483480e837c6e",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job de51d129-79ac-4189-9214-a60148b6824a is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "25e22999c9b34f0f874e37320e170897",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "HTML(value='Query job c7afac6c-6925-4e53-8ef6-e1a7a3fabd48 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job c6b6518b-2689-4dc1-a5b0-2a9ab75301eb is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      },
      "metadata": {},
@@ -838,24 +810,24 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>241</th>\n",
-       "      <td>5300.0</td>\n",
+       "      <th>156</th>\n",
+       "      <td>4800.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>121</th>\n",
-       "      <td>3325.0</td>\n",
+       "      <th>189</th>\n",
+       "      <td>3800.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>209</th>\n",
-       "      <td>4075.0</td>\n",
+       "      <th>279</th>\n",
+       "      <td>5000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>270</th>\n",
-       "      <td>3075.0</td>\n",
+       "      <th>245</th>\n",
+       "      <td>5800.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>187</th>\n",
-       "      <td>4600.0</td>\n",
+       "      <th>343</th>\n",
+       "      <td>3775.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -865,16 +837,16 @@
       "text/plain": [
        "            body_mass_g\n",
        "penguin_id             \n",
-       "241              5300.0\n",
-       "121              3325.0\n",
-       "209              4075.0\n",
-       "270              3075.0\n",
-       "187              4600.0\n",
+       "156              4800.0\n",
+       "189              3800.0\n",
+       "279              5000.0\n",
+       "245              5800.0\n",
+       "343              3775.0\n",
        "\n",
        "[5 rows x 1 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -908,18 +880,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "299c0c895e3d4a83a8495924a1966ce0",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job f54865db-fdb4-4022-af30-7f282a6b81c0 is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 03a0eb1c-747e-4c2a-b7b5-d3e4e5a78134 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -928,12 +900,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fc7f7d0581fa4c5b93e7e7c10496b4ca",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 2d1150ee-11bd-4711-9466-e504d5ee36d2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 70608c84-dac8-4e77-8a9e-00d823b24f37 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -942,12 +914,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4a4c11742c2b438881c13b17f7a12bba",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job bf02595f-3cac-4995-998c-d0d0752edfb2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job d18fdc32-2152-45d3-8c62-bf9b1556ec47 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -956,12 +928,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d5af150804134663ad2f11fa9cb9fa6f",
+       "model_id": "b06cae61a4534388a4e9ed26ce442cc2",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 115985df-2008-4210-b6eb-0dd9a121155c is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 2a022682-535f-4dc0-80ba-1640306ad9ef is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -970,12 +942,26 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ae244506a1ef4712a740fa22b91634b9",
+       "model_id": "977c8eae2c9848e98c5478c41af82633",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 527dd11b-c164-43df-a430-6cdf326048e4 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job c145b39d-7d02-4394-80f0-fc605b2ba256 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "aefc3085fee04c438d0327d400b4b72a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job fc156a2b-db95-44a3-9ad1-d95b9d290080 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      },
      "metadata": {},
@@ -1002,9 +988,9 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>scaled_culmen_length_mm</th>\n",
-       "      <th>scaled_culmen_depth_mm</th>\n",
-       "      <th>scaled_flipper_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_depth_mm</th>\n",
+       "      <th>standard_scaled_flipper_length_mm</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>penguin_id</th>\n",
@@ -1016,153 +1002,153 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-1.364965</td>\n",
-       "      <td>0.629892</td>\n",
-       "      <td>-1.226537</td>\n",
+       "      <td>-1.344188</td>\n",
+       "      <td>0.642519</td>\n",
+       "      <td>-1.193942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-0.771824</td>\n",
-       "      <td>0.984275</td>\n",
-       "      <td>-1.226537</td>\n",
+       "      <td>-0.750047</td>\n",
+       "      <td>1.005876</td>\n",
+       "      <td>-1.193942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-0.567932</td>\n",
-       "      <td>0.883023</td>\n",
-       "      <td>-1.226537</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>0.470064</td>\n",
-       "      <td>0.376761</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>-0.545811</td>\n",
+       "      <td>0.90206</td>\n",
+       "      <td>-1.193942</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-1.235216</td>\n",
-       "      <td>-0.180128</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>-1.214219</td>\n",
+       "      <td>-0.188011</td>\n",
+       "      <td>-0.619171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>-0.141612</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>-0.118772</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>-0.619171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>0.544207</td>\n",
-       "      <td>-0.281381</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>0.568203</td>\n",
+       "      <td>-0.291828</td>\n",
+       "      <td>-0.619171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>1.21149</td>\n",
-       "      <td>0.629892</td>\n",
-       "      <td>-0.078497</td>\n",
+       "      <td>1.236611</td>\n",
+       "      <td>0.642519</td>\n",
+       "      <td>-0.044401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1.026133</td>\n",
-       "      <td>0.933649</td>\n",
-       "      <td>-0.078497</td>\n",
+       "      <th>9</th>\n",
+       "      <td>-0.675779</td>\n",
+       "      <td>1.524957</td>\n",
+       "      <td>-0.044401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
-       "      <td>-0.586468</td>\n",
-       "      <td>0.883023</td>\n",
-       "      <td>0.495523</td>\n",
+       "      <td>-0.564378</td>\n",
+       "      <td>0.90206</td>\n",
+       "      <td>0.530369</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
-       "      <td>-0.92011</td>\n",
-       "      <td>0.781771</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-0.898582</td>\n",
+       "      <td>0.798243</td>\n",
+       "      <td>-1.122096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>-1.26992</td>\n",
+       "      <td>-0.136103</td>\n",
+       "      <td>-1.122096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>0.58677</td>\n",
+       "      <td>0.071529</td>\n",
+       "      <td>-1.122096</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
-       "      <td>-1.846892</td>\n",
-       "      <td>-0.028249</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-1.826927</td>\n",
+       "      <td>-0.032287</td>\n",
+       "      <td>-1.122096</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
-       "      <td>-1.290822</td>\n",
-       "      <td>-0.332007</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-1.26992</td>\n",
+       "      <td>-0.343736</td>\n",
+       "      <td>-1.122096</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
-       "      <td>0.321779</td>\n",
-       "      <td>0.073003</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>0.3454</td>\n",
+       "      <td>0.071529</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>1.230026</td>\n",
-       "      <td>1.136154</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <th>18</th>\n",
+       "      <td>-0.768614</td>\n",
+       "      <td>0.382978</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>-0.79036</td>\n",
-       "      <td>0.376761</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <th>19</th>\n",
+       "      <td>-1.121385</td>\n",
+       "      <td>0.486795</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
-       "      <td>0.4886</td>\n",
-       "      <td>0.326134</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>0.512502</td>\n",
+       "      <td>0.33107</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
-       "      <td>1.359775</td>\n",
-       "      <td>1.034902</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>1.385146</td>\n",
+       "      <td>1.057784</td>\n",
+       "      <td>-0.547325</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>-0.675779</td>\n",
+       "      <td>-0.032287</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>24</th>\n",
-       "      <td>1.044669</td>\n",
-       "      <td>0.528639</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>1.069509</td>\n",
+       "      <td>0.538703</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
-       "      <td>-0.456718</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <td>-0.43441</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>1.21149</td>\n",
-       "      <td>1.237407</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <th>28</th>\n",
+       "      <td>1.923586</td>\n",
+       "      <td>1.888314</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>1.378311</td>\n",
-       "      <td>0.933649</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <th>30</th>\n",
+       "      <td>1.292312</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
-       "      <td>-2.013713</td>\n",
-       "      <td>-0.534512</td>\n",
-       "      <td>-1.657052</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>-1.253751</td>\n",
-       "      <td>0.478013</td>\n",
-       "      <td>-1.657052</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>-0.827431</td>\n",
-       "      <td>-0.230754</td>\n",
-       "      <td>-1.657052</td>\n",
+       "      <td>-1.994029</td>\n",
+       "      <td>-0.551368</td>\n",
+       "      <td>-1.62502</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1170,67 +1156,67 @@
        "</div>[267 rows x 3 columns in total]"
       ],
       "text/plain": [
-       "            scaled_culmen_length_mm  scaled_culmen_depth_mm  \\\n",
-       "penguin_id                                                    \n",
-       "0                         -1.364965                0.629892   \n",
-       "1                         -0.771824                0.984275   \n",
-       "2                         -0.567932                0.883023   \n",
-       "3                          0.470064                0.376761   \n",
-       "4                         -1.235216               -0.180128   \n",
-       "5                         -0.141612                0.680518   \n",
-       "6                          0.544207               -0.281381   \n",
-       "7                           1.21149                0.629892   \n",
-       "8                          1.026133                0.933649   \n",
-       "10                        -0.586468                0.883023   \n",
-       "11                         -0.92011                0.781771   \n",
-       "14                        -1.846892               -0.028249   \n",
-       "15                        -1.290822               -0.332007   \n",
-       "16                         0.321779                0.073003   \n",
-       "17                         1.230026                1.136154   \n",
-       "18                         -0.79036                0.376761   \n",
-       "20                           0.4886                0.326134   \n",
-       "21                         1.359775                1.034902   \n",
-       "24                         1.044669                0.528639   \n",
-       "26                        -0.456718                0.680518   \n",
-       "27                          1.21149                1.237407   \n",
-       "29                         1.378311                0.933649   \n",
-       "31                        -2.013713               -0.534512   \n",
-       "32                        -1.253751                0.478013   \n",
-       "33                        -0.827431               -0.230754   \n",
+       "            standard_scaled_culmen_length_mm  standard_scaled_culmen_depth_mm  \\\n",
+       "penguin_id                                                                      \n",
+       "0                                  -1.344188                         0.642519   \n",
+       "1                                  -0.750047                         1.005876   \n",
+       "2                                  -0.545811                          0.90206   \n",
+       "4                                  -1.214219                        -0.188011   \n",
+       "5                                  -0.118772                         0.694427   \n",
+       "6                                   0.568203                        -0.291828   \n",
+       "7                                   1.236611                         0.642519   \n",
+       "9                                  -0.675779                         1.524957   \n",
+       "10                                 -0.564378                          0.90206   \n",
+       "11                                 -0.898582                         0.798243   \n",
+       "12                                  -1.26992                        -0.136103   \n",
+       "13                                   0.58677                         0.071529   \n",
+       "14                                 -1.826927                        -0.032287   \n",
+       "15                                  -1.26992                        -0.343736   \n",
+       "16                                    0.3454                         0.071529   \n",
+       "18                                 -0.768614                         0.382978   \n",
+       "19                                 -1.121385                         0.486795   \n",
+       "20                                  0.512502                          0.33107   \n",
+       "21                                  1.385146                         1.057784   \n",
+       "22                                 -0.675779                        -0.032287   \n",
+       "24                                  1.069509                         0.538703   \n",
+       "26                                  -0.43441                         0.694427   \n",
+       "28                                  1.923586                         1.888314   \n",
+       "30                                  1.292312                         0.694427   \n",
+       "31                                 -1.994029                        -0.551368   \n",
        "\n",
-       "            scaled_flipper_length_mm  \n",
-       "penguin_id                            \n",
-       "0                          -1.226537  \n",
-       "1                          -1.226537  \n",
-       "2                          -1.226537  \n",
-       "3                          -0.652517  \n",
-       "4                          -0.652517  \n",
-       "5                          -0.652517  \n",
-       "6                          -0.652517  \n",
-       "7                          -0.078497  \n",
-       "8                          -0.078497  \n",
-       "10                          0.495523  \n",
-       "11                         -1.154784  \n",
-       "14                         -1.154784  \n",
-       "15                         -1.154784  \n",
-       "16                         -0.580765  \n",
-       "17                         -0.580765  \n",
-       "18                         -0.580765  \n",
-       "20                         -0.580765  \n",
-       "21                         -0.580765  \n",
-       "24                         -0.580765  \n",
-       "26                         -0.006745  \n",
-       "27                         -0.006745  \n",
-       "29                         -0.006745  \n",
-       "31                         -1.657052  \n",
-       "32                         -1.657052  \n",
-       "33                         -1.657052  \n",
+       "            standard_scaled_flipper_length_mm  \n",
+       "penguin_id                                     \n",
+       "0                                   -1.193942  \n",
+       "1                                   -1.193942  \n",
+       "2                                   -1.193942  \n",
+       "4                                   -0.619171  \n",
+       "5                                   -0.619171  \n",
+       "6                                   -0.619171  \n",
+       "7                                   -0.044401  \n",
+       "9                                   -0.044401  \n",
+       "10                                   0.530369  \n",
+       "11                                  -1.122096  \n",
+       "12                                  -1.122096  \n",
+       "13                                  -1.122096  \n",
+       "14                                  -1.122096  \n",
+       "15                                  -1.122096  \n",
+       "16                                  -0.547325  \n",
+       "18                                  -0.547325  \n",
+       "19                                  -0.547325  \n",
+       "20                                  -0.547325  \n",
+       "21                                  -0.547325  \n",
+       "22                                  -0.547325  \n",
+       "24                                  -0.547325  \n",
+       "26                                   0.027445  \n",
+       "28                                   0.027445  \n",
+       "30                                   0.027445  \n",
+       "31                                   -1.62502  \n",
        "...\n",
        "\n",
        "[267 rows x 3 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1251,18 +1237,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6ec4ab3e60844e989dbebad89e7665ca",
+       "model_id": "74f3c24c0a434e12bf6a56dc4809b501",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job a8029b51-2ef1-4acd-9759-d808db954298 is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job c6268b07-0d3d-4fe0-971d-cc99fd98cd7e is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1271,12 +1257,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7b3240af0dcb4d658f00e7898e0805aa",
+       "model_id": "b6b5999749114de9971d9dcb6c9d1098",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 6d7022b5-1b0e-4dbe-bc0a-555c613e2153 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 31550d88-fc7b-4fcb-9975-9ed24bf2e009 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1285,12 +1271,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c466c9e33cb94c8b9950fb8ecd0e80e4",
+       "model_id": "5a04e46a7d0248b1ae523f2ca6903ee8",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job eb0e0503-2a58-4394-b2dc-6d7e6aeaa57c is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 5ec7c8b1-037c-466c-a51e-963f8274e76b is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1299,12 +1285,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ea8ba504e18c4f5aa7911b1459f06c41",
+       "model_id": "62563820bfb245be85bbc1bf3dfb993c",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 9f0cafe4-4a59-4984-b66e-614355b36203 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 4e860716-bc41-4ef6-83ff-310d085ed7cc is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
       ]
      },
      "metadata": {},
@@ -1313,12 +1299,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b872ef1e43634378938b7de01a4ca716",
+       "model_id": "98aff3bfded44868bf120451c89df9f5",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job ec0960fb-23e3-4814-8a80-9c23c42e185e is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 6b96a757-42fe-4b65-92fd-a3ae339fe769 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1345,9 +1331,9 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>scaled_culmen_length_mm</th>\n",
-       "      <th>scaled_culmen_depth_mm</th>\n",
-       "      <th>scaled_flipper_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_depth_mm</th>\n",
+       "      <th>standard_scaled_flipper_length_mm</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>penguin_id</th>\n",
@@ -1358,154 +1344,154 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>-0.697682</td>\n",
-       "      <td>1.490538</td>\n",
-       "      <td>-0.078497</td>\n",
+       "      <th>3</th>\n",
+       "      <td>0.493935</td>\n",
+       "      <td>0.382978</td>\n",
+       "      <td>-0.619171</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>-1.290822</td>\n",
-       "      <td>-0.129502</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <th>8</th>\n",
+       "      <td>1.050942</td>\n",
+       "      <td>0.953968</td>\n",
+       "      <td>-0.044401</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>0.562742</td>\n",
-       "      <td>0.073003</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <th>17</th>\n",
+       "      <td>1.255178</td>\n",
+       "      <td>1.1616</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>-1.142537</td>\n",
-       "      <td>0.478013</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <th>23</th>\n",
+       "      <td>-1.307054</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>-0.547325</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>-0.697682</td>\n",
-       "      <td>-0.028249</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <th>25</th>\n",
+       "      <td>1.515114</td>\n",
+       "      <td>0.486795</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>-1.327894</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <th>27</th>\n",
+       "      <td>1.236611</td>\n",
+       "      <td>1.265417</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>1.489525</td>\n",
-       "      <td>0.478013</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <th>29</th>\n",
+       "      <td>1.403713</td>\n",
+       "      <td>0.953968</td>\n",
+       "      <td>0.027445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>1.897309</td>\n",
-       "      <td>1.844922</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <th>34</th>\n",
+       "      <td>0.419668</td>\n",
+       "      <td>0.538703</td>\n",
+       "      <td>-1.62502</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>1.267097</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <th>35</th>\n",
+       "      <td>-1.455589</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>-1.050249</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>-0.49379</td>\n",
-       "      <td>1.59179</td>\n",
-       "      <td>-0.509012</td>\n",
+       "      <th>39</th>\n",
+       "      <td>0.326833</td>\n",
+       "      <td>1.1616</td>\n",
+       "      <td>-0.475479</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>-1.531786</td>\n",
-       "      <td>0.427387</td>\n",
-       "      <td>0.065008</td>\n",
+       "      <th>51</th>\n",
+       "      <td>-1.065684</td>\n",
+       "      <td>0.227254</td>\n",
+       "      <td>-0.978403</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>1.489525</td>\n",
-       "      <td>1.794295</td>\n",
-       "      <td>0.639028</td>\n",
+       "      <th>52</th>\n",
+       "      <td>-0.248741</td>\n",
+       "      <td>0.071529</td>\n",
+       "      <td>-0.978403</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>-0.567932</td>\n",
-       "      <td>-0.281381</td>\n",
-       "      <td>-1.011279</td>\n",
+       "      <th>60</th>\n",
+       "      <td>0.531069</td>\n",
+       "      <td>0.382978</td>\n",
+       "      <td>-0.403633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>-0.271362</td>\n",
-       "      <td>-0.230754</td>\n",
-       "      <td>-1.011279</td>\n",
+       "      <th>61</th>\n",
+       "      <td>0.401101</td>\n",
+       "      <td>0.90206</td>\n",
+       "      <td>-0.403633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>-1.402036</td>\n",
-       "      <td>-0.078876</td>\n",
-       "      <td>-0.43726</td>\n",
+       "      <th>64</th>\n",
+       "      <td>-1.455589</td>\n",
+       "      <td>0.33107</td>\n",
+       "      <td>-0.403633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65</th>\n",
-       "      <td>-0.586468</td>\n",
-       "      <td>0.629892</td>\n",
-       "      <td>-0.43726</td>\n",
+       "      <td>-0.564378</td>\n",
+       "      <td>0.642519</td>\n",
+       "      <td>-0.403633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>0.989062</td>\n",
-       "      <td>1.389285</td>\n",
-       "      <td>0.13676</td>\n",
+       "      <th>67</th>\n",
+       "      <td>1.273745</td>\n",
+       "      <td>1.317325</td>\n",
+       "      <td>0.171138</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83</th>\n",
-       "      <td>2.601663</td>\n",
-       "      <td>0.326134</td>\n",
-       "      <td>-1.441794</td>\n",
+       "      <td>2.629128</td>\n",
+       "      <td>0.33107</td>\n",
+       "      <td>-1.409481</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>87</th>\n",
-       "      <td>1.526596</td>\n",
-       "      <td>0.832397</td>\n",
-       "      <td>-0.293755</td>\n",
+       "      <th>85</th>\n",
+       "      <td>-1.288487</td>\n",
+       "      <td>0.746335</td>\n",
+       "      <td>-0.83471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>92</th>\n",
-       "      <td>1.767559</td>\n",
-       "      <td>1.389285</td>\n",
-       "      <td>0.280265</td>\n",
+       "      <th>93</th>\n",
+       "      <td>-0.508677</td>\n",
+       "      <td>0.486795</td>\n",
+       "      <td>0.314831</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>-0.530861</td>\n",
-       "      <td>0.174256</td>\n",
-       "      <td>-0.796022</td>\n",
+       "      <th>104</th>\n",
+       "      <td>0.382534</td>\n",
+       "      <td>-0.032287</td>\n",
+       "      <td>-0.762864</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>104</th>\n",
-       "      <td>0.35885</td>\n",
-       "      <td>-0.028249</td>\n",
-       "      <td>-0.796022</td>\n",
+       "      <th>105</th>\n",
+       "      <td>-1.065684</td>\n",
+       "      <td>0.746335</td>\n",
+       "      <td>-0.762864</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>0.229101</td>\n",
-       "      <td>-0.281381</td>\n",
-       "      <td>-0.72427</td>\n",
+       "      <th>108</th>\n",
+       "      <td>1.162343</td>\n",
+       "      <td>0.382978</td>\n",
+       "      <td>-0.762864</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>0.840777</td>\n",
-       "      <td>0.174256</td>\n",
-       "      <td>-0.72427</td>\n",
+       "      <th>113</th>\n",
+       "      <td>1.496547</td>\n",
+       "      <td>1.213509</td>\n",
+       "      <td>0.386677</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>118</th>\n",
-       "      <td>-1.550322</td>\n",
-       "      <td>0.174256</td>\n",
-       "      <td>-0.72427</td>\n",
+       "      <th>130</th>\n",
+       "      <td>-0.341575</td>\n",
+       "      <td>1.213509</td>\n",
+       "      <td>-0.044401</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1513,67 +1499,67 @@
        "</div>[67 rows x 3 columns in total]"
       ],
       "text/plain": [
-       "            scaled_culmen_length_mm  scaled_culmen_depth_mm  \\\n",
-       "penguin_id                                                    \n",
-       "9                         -0.697682                1.490538   \n",
-       "12                        -1.290822               -0.129502   \n",
-       "13                         0.562742                0.073003   \n",
-       "19                        -1.142537                0.478013   \n",
-       "22                        -0.697682               -0.028249   \n",
-       "23                        -1.327894                0.680518   \n",
-       "25                         1.489525                0.478013   \n",
-       "28                         1.897309                1.844922   \n",
-       "30                         1.267097                0.680518   \n",
-       "38                         -0.49379                 1.59179   \n",
-       "41                        -1.531786                0.427387   \n",
-       "45                         1.489525                1.794295   \n",
-       "49                        -0.567932               -0.281381   \n",
-       "50                        -0.271362               -0.230754   \n",
-       "62                        -1.402036               -0.078876   \n",
-       "65                        -0.586468                0.629892   \n",
-       "66                         0.989062                1.389285   \n",
-       "83                         2.601663                0.326134   \n",
-       "87                         1.526596                0.832397   \n",
-       "92                         1.767559                1.389285   \n",
-       "98                        -0.530861                0.174256   \n",
-       "104                         0.35885               -0.028249   \n",
-       "114                        0.229101               -0.281381   \n",
-       "115                        0.840777                0.174256   \n",
-       "118                       -1.550322                0.174256   \n",
+       "            standard_scaled_culmen_length_mm  standard_scaled_culmen_depth_mm  \\\n",
+       "penguin_id                                                                      \n",
+       "3                                   0.493935                         0.382978   \n",
+       "8                                   1.050942                         0.953968   \n",
+       "17                                  1.255178                           1.1616   \n",
+       "23                                 -1.307054                         0.694427   \n",
+       "25                                  1.515114                         0.486795   \n",
+       "27                                  1.236611                         1.265417   \n",
+       "29                                  1.403713                         0.953968   \n",
+       "34                                  0.419668                         0.538703   \n",
+       "35                                 -1.455589                         0.694427   \n",
+       "39                                  0.326833                           1.1616   \n",
+       "51                                 -1.065684                         0.227254   \n",
+       "52                                 -0.248741                         0.071529   \n",
+       "60                                  0.531069                         0.382978   \n",
+       "61                                  0.401101                          0.90206   \n",
+       "64                                 -1.455589                          0.33107   \n",
+       "65                                 -0.564378                         0.642519   \n",
+       "67                                  1.273745                         1.317325   \n",
+       "83                                  2.629128                          0.33107   \n",
+       "85                                 -1.288487                         0.746335   \n",
+       "93                                 -0.508677                         0.486795   \n",
+       "104                                 0.382534                        -0.032287   \n",
+       "105                                -1.065684                         0.746335   \n",
+       "108                                 1.162343                         0.382978   \n",
+       "113                                 1.496547                         1.213509   \n",
+       "130                                -0.341575                         1.213509   \n",
        "\n",
-       "            scaled_flipper_length_mm  \n",
-       "penguin_id                            \n",
-       "9                          -0.078497  \n",
-       "12                         -1.154784  \n",
-       "13                         -1.154784  \n",
-       "19                         -0.580765  \n",
-       "22                         -0.580765  \n",
-       "23                         -0.580765  \n",
-       "25                         -0.006745  \n",
-       "28                         -0.006745  \n",
-       "30                         -0.006745  \n",
-       "38                         -0.509012  \n",
-       "41                          0.065008  \n",
-       "45                          0.639028  \n",
-       "49                         -1.011279  \n",
-       "50                         -1.011279  \n",
-       "62                          -0.43726  \n",
-       "65                          -0.43726  \n",
-       "66                           0.13676  \n",
-       "83                         -1.441794  \n",
-       "87                         -0.293755  \n",
-       "92                          0.280265  \n",
-       "98                         -0.796022  \n",
-       "104                        -0.796022  \n",
-       "114                         -0.72427  \n",
-       "115                         -0.72427  \n",
-       "118                         -0.72427  \n",
+       "            standard_scaled_flipper_length_mm  \n",
+       "penguin_id                                     \n",
+       "3                                   -0.619171  \n",
+       "8                                   -0.044401  \n",
+       "17                                  -0.547325  \n",
+       "23                                  -0.547325  \n",
+       "25                                   0.027445  \n",
+       "27                                   0.027445  \n",
+       "29                                   0.027445  \n",
+       "34                                   -1.62502  \n",
+       "35                                  -1.050249  \n",
+       "39                                  -0.475479  \n",
+       "51                                  -0.978403  \n",
+       "52                                  -0.978403  \n",
+       "60                                  -0.403633  \n",
+       "61                                  -0.403633  \n",
+       "64                                  -0.403633  \n",
+       "65                                  -0.403633  \n",
+       "67                                   0.171138  \n",
+       "83                                  -1.409481  \n",
+       "85                                   -0.83471  \n",
+       "93                                   0.314831  \n",
+       "104                                 -0.762864  \n",
+       "105                                 -0.762864  \n",
+       "108                                 -0.762864  \n",
+       "113                                  0.386677  \n",
+       "130                                 -0.044401  \n",
        "...\n",
        "\n",
        "[67 rows x 3 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1595,18 +1581,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
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+     "output_type": "display_data"
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+      "text/plain": [
+       "HTML(value='Query job b9afd624-4345-4160-8809-05786563ce35 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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+     "output_type": "display_data"
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-       "HTML(value='Query job 792a19f4-e3c2-4344-8555-7f5a781c3c7d is DONE. 32.0 kB processed. <a target=\"_blank\" href…"
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@@ -1615,12 +1629,12 @@
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       "text/plain": [
-       "HTML(value='Query job 61fea509-858e-44c6-974d-f3a80169f278 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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@@ -1629,12 +1643,12 @@
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@@ -1643,12 +1657,12 @@
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@@ -1657,12 +1671,12 @@
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@@ -1671,12 +1685,12 @@
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@@ -1685,12 +1699,12 @@
     {
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      "metadata": {},
@@ -1718,9 +1732,9 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>onehotencoded_island</th>\n",
-       "      <th>scaled_culmen_length_mm</th>\n",
-       "      <th>scaled_culmen_depth_mm</th>\n",
-       "      <th>scaled_flipper_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_length_mm</th>\n",
+       "      <th>standard_scaled_culmen_depth_mm</th>\n",
+       "      <th>standard_scaled_flipper_length_mm</th>\n",
        "      <th>onehotencoded_sex</th>\n",
        "      <th>onehotencoded_species</th>\n",
        "    </tr>\n",
@@ -1738,225 +1752,225 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-1.364965</td>\n",
-       "      <td>0.629892</td>\n",
-       "      <td>-1.226537</td>\n",
+       "      <td>-1.344188</td>\n",
+       "      <td>0.642519</td>\n",
+       "      <td>-1.193942</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.771824</td>\n",
-       "      <td>0.984275</td>\n",
-       "      <td>-1.226537</td>\n",
+       "      <td>-0.750047</td>\n",
+       "      <td>1.005876</td>\n",
+       "      <td>-1.193942</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.567932</td>\n",
-       "      <td>0.883023</td>\n",
-       "      <td>-1.226537</td>\n",
+       "      <td>-0.545811</td>\n",
+       "      <td>0.90206</td>\n",
+       "      <td>-1.193942</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>0.470064</td>\n",
-       "      <td>0.376761</td>\n",
-       "      <td>-0.652517</td>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-1.235216</td>\n",
-       "      <td>-0.180128</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>-1.214219</td>\n",
+       "      <td>-0.188011</td>\n",
+       "      <td>-0.619171</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.141612</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>-0.118772</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>-0.619171</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>0.544207</td>\n",
-       "      <td>-0.281381</td>\n",
-       "      <td>-0.652517</td>\n",
+       "      <td>0.568203</td>\n",
+       "      <td>-0.291828</td>\n",
+       "      <td>-0.619171</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.21149</td>\n",
-       "      <td>0.629892</td>\n",
-       "      <td>-0.078497</td>\n",
+       "      <td>1.236611</td>\n",
+       "      <td>0.642519</td>\n",
+       "      <td>-0.044401</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>9</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.026133</td>\n",
-       "      <td>0.933649</td>\n",
-       "      <td>-0.078497</td>\n",
+       "      <td>-0.675779</td>\n",
+       "      <td>1.524957</td>\n",
+       "      <td>-0.044401</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.586468</td>\n",
-       "      <td>0.883023</td>\n",
-       "      <td>0.495523</td>\n",
+       "      <td>-0.564378</td>\n",
+       "      <td>0.90206</td>\n",
+       "      <td>0.530369</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.92011</td>\n",
-       "      <td>0.781771</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-0.898582</td>\n",
+       "      <td>0.798243</td>\n",
+       "      <td>-1.122096</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>-1.26992</td>\n",
+       "      <td>-0.136103</td>\n",
+       "      <td>-1.122096</td>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>0.58677</td>\n",
+       "      <td>0.071529</td>\n",
+       "      <td>-1.122096</td>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>14</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-1.846892</td>\n",
-       "      <td>-0.028249</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-1.826927</td>\n",
+       "      <td>-0.032287</td>\n",
+       "      <td>-1.122096</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-1.290822</td>\n",
-       "      <td>-0.332007</td>\n",
-       "      <td>-1.154784</td>\n",
+       "      <td>-1.26992</td>\n",
+       "      <td>-0.343736</td>\n",
+       "      <td>-1.122096</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>0.321779</td>\n",
-       "      <td>0.073003</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>0.3454</td>\n",
+       "      <td>0.071529</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
+       "      <th>18</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.230026</td>\n",
-       "      <td>1.136154</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>-0.768614</td>\n",
+       "      <td>0.382978</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>19</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.79036</td>\n",
-       "      <td>0.376761</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>-1.121385</td>\n",
+       "      <td>0.486795</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>0.4886</td>\n",
-       "      <td>0.326134</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>0.512502</td>\n",
+       "      <td>0.33107</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.359775</td>\n",
-       "      <td>1.034902</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>1.385146</td>\n",
+       "      <td>1.057784</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>-0.675779</td>\n",
+       "      <td>-0.032287</td>\n",
+       "      <td>-0.547325</td>\n",
+       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
+       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>24</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.044669</td>\n",
-       "      <td>0.528639</td>\n",
-       "      <td>-0.580765</td>\n",
+       "      <td>1.069509</td>\n",
+       "      <td>0.538703</td>\n",
+       "      <td>-0.547325</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>26</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.456718</td>\n",
-       "      <td>0.680518</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <td>-0.43441</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>0.027445</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27</th>\n",
+       "      <th>28</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.21149</td>\n",
-       "      <td>1.237407</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <td>1.923586</td>\n",
+       "      <td>1.888314</td>\n",
+       "      <td>0.027445</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29</th>\n",
+       "      <th>30</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>1.378311</td>\n",
-       "      <td>0.933649</td>\n",
-       "      <td>-0.006745</td>\n",
+       "      <td>1.292312</td>\n",
+       "      <td>0.694427</td>\n",
+       "      <td>0.027445</td>\n",
        "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-2.013713</td>\n",
-       "      <td>-0.534512</td>\n",
-       "      <td>-1.657052</td>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-1.253751</td>\n",
-       "      <td>0.478013</td>\n",
-       "      <td>-1.657052</td>\n",
-       "      <td>[{'index': 3, 'value': 1.0}]</td>\n",
-       "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
-       "      <td>-0.827431</td>\n",
-       "      <td>-0.230754</td>\n",
-       "      <td>-1.657052</td>\n",
+       "      <td>-1.994029</td>\n",
+       "      <td>-0.551368</td>\n",
+       "      <td>-1.62502</td>\n",
        "      <td>[{'index': 2, 'value': 1.0}]</td>\n",
        "      <td>[{'index': 1, 'value': 1.0}]</td>\n",
        "    </tr>\n",
@@ -1966,95 +1980,123 @@
        "</div>[267 rows x 6 columns in total]"
       ],
       "text/plain": [
-       "                    onehotencoded_island  scaled_culmen_length_mm  \\\n",
-       "penguin_id                                                          \n",
-       "0           [{'index': 2, 'value': 1.0}]                -1.364965   \n",
-       "1           [{'index': 2, 'value': 1.0}]                -0.771824   \n",
-       "2           [{'index': 2, 'value': 1.0}]                -0.567932   \n",
-       "3           [{'index': 2, 'value': 1.0}]                 0.470064   \n",
-       "4           [{'index': 2, 'value': 1.0}]                -1.235216   \n",
-       "5           [{'index': 2, 'value': 1.0}]                -0.141612   \n",
-       "6           [{'index': 2, 'value': 1.0}]                 0.544207   \n",
-       "7           [{'index': 2, 'value': 1.0}]                  1.21149   \n",
-       "8           [{'index': 2, 'value': 1.0}]                 1.026133   \n",
-       "10          [{'index': 2, 'value': 1.0}]                -0.586468   \n",
-       "11          [{'index': 2, 'value': 1.0}]                 -0.92011   \n",
-       "14          [{'index': 2, 'value': 1.0}]                -1.846892   \n",
-       "15          [{'index': 2, 'value': 1.0}]                -1.290822   \n",
-       "16          [{'index': 2, 'value': 1.0}]                 0.321779   \n",
-       "17          [{'index': 2, 'value': 1.0}]                 1.230026   \n",
-       "18          [{'index': 2, 'value': 1.0}]                 -0.79036   \n",
-       "20          [{'index': 2, 'value': 1.0}]                   0.4886   \n",
-       "21          [{'index': 2, 'value': 1.0}]                 1.359775   \n",
-       "24          [{'index': 2, 'value': 1.0}]                 1.044669   \n",
-       "26          [{'index': 2, 'value': 1.0}]                -0.456718   \n",
-       "27          [{'index': 2, 'value': 1.0}]                  1.21149   \n",
-       "29          [{'index': 2, 'value': 1.0}]                 1.378311   \n",
-       "31          [{'index': 2, 'value': 1.0}]                -2.013713   \n",
-       "32          [{'index': 2, 'value': 1.0}]                -1.253751   \n",
-       "33          [{'index': 2, 'value': 1.0}]                -0.827431   \n",
+       "                    onehotencoded_island  standard_scaled_culmen_length_mm  \\\n",
+       "penguin_id                                                                   \n",
+       "0           [{'index': 2, 'value': 1.0}]                         -1.344188   \n",
+       "1           [{'index': 2, 'value': 1.0}]                         -0.750047   \n",
+       "2           [{'index': 2, 'value': 1.0}]                         -0.545811   \n",
+       "4           [{'index': 2, 'value': 1.0}]                         -1.214219   \n",
+       "5           [{'index': 2, 'value': 1.0}]                         -0.118772   \n",
+       "6           [{'index': 2, 'value': 1.0}]                          0.568203   \n",
+       "7           [{'index': 2, 'value': 1.0}]                          1.236611   \n",
+       "9           [{'index': 2, 'value': 1.0}]                         -0.675779   \n",
+       "10          [{'index': 2, 'value': 1.0}]                         -0.564378   \n",
+       "11          [{'index': 2, 'value': 1.0}]                         -0.898582   \n",
+       "12          [{'index': 2, 'value': 1.0}]                          -1.26992   \n",
+       "13          [{'index': 2, 'value': 1.0}]                           0.58677   \n",
+       "14          [{'index': 2, 'value': 1.0}]                         -1.826927   \n",
+       "15          [{'index': 2, 'value': 1.0}]                          -1.26992   \n",
+       "16          [{'index': 2, 'value': 1.0}]                            0.3454   \n",
+       "18          [{'index': 2, 'value': 1.0}]                         -0.768614   \n",
+       "19          [{'index': 2, 'value': 1.0}]                         -1.121385   \n",
+       "20          [{'index': 2, 'value': 1.0}]                          0.512502   \n",
+       "21          [{'index': 2, 'value': 1.0}]                          1.385146   \n",
+       "22          [{'index': 2, 'value': 1.0}]                         -0.675779   \n",
+       "24          [{'index': 2, 'value': 1.0}]                          1.069509   \n",
+       "26          [{'index': 2, 'value': 1.0}]                          -0.43441   \n",
+       "28          [{'index': 2, 'value': 1.0}]                          1.923586   \n",
+       "30          [{'index': 2, 'value': 1.0}]                          1.292312   \n",
+       "31          [{'index': 2, 'value': 1.0}]                         -1.994029   \n",
        "\n",
-       "            scaled_culmen_depth_mm  scaled_flipper_length_mm  \\\n",
-       "penguin_id                                                     \n",
-       "0                         0.629892                 -1.226537   \n",
-       "1                         0.984275                 -1.226537   \n",
-       "2                         0.883023                 -1.226537   \n",
-       "3                         0.376761                 -0.652517   \n",
-       "4                        -0.180128                 -0.652517   \n",
-       "5                         0.680518                 -0.652517   \n",
-       "6                        -0.281381                 -0.652517   \n",
-       "7                         0.629892                 -0.078497   \n",
-       "8                         0.933649                 -0.078497   \n",
-       "10                        0.883023                  0.495523   \n",
-       "11                        0.781771                 -1.154784   \n",
-       "14                       -0.028249                 -1.154784   \n",
-       "15                       -0.332007                 -1.154784   \n",
-       "16                        0.073003                 -0.580765   \n",
-       "17                        1.136154                 -0.580765   \n",
-       "18                        0.376761                 -0.580765   \n",
-       "20                        0.326134                 -0.580765   \n",
-       "21                        1.034902                 -0.580765   \n",
-       "24                        0.528639                 -0.580765   \n",
-       "26                        0.680518                 -0.006745   \n",
-       "27                        1.237407                 -0.006745   \n",
-       "29                        0.933649                 -0.006745   \n",
-       "31                       -0.534512                 -1.657052   \n",
-       "32                        0.478013                 -1.657052   \n",
-       "33                       -0.230754                 -1.657052   \n",
+       "            standard_scaled_culmen_depth_mm  \\\n",
+       "penguin_id                                    \n",
+       "0                                  0.642519   \n",
+       "1                                  1.005876   \n",
+       "2                                   0.90206   \n",
+       "4                                 -0.188011   \n",
+       "5                                  0.694427   \n",
+       "6                                 -0.291828   \n",
+       "7                                  0.642519   \n",
+       "9                                  1.524957   \n",
+       "10                                  0.90206   \n",
+       "11                                 0.798243   \n",
+       "12                                -0.136103   \n",
+       "13                                 0.071529   \n",
+       "14                                -0.032287   \n",
+       "15                                -0.343736   \n",
+       "16                                 0.071529   \n",
+       "18                                 0.382978   \n",
+       "19                                 0.486795   \n",
+       "20                                  0.33107   \n",
+       "21                                 1.057784   \n",
+       "22                                -0.032287   \n",
+       "24                                 0.538703   \n",
+       "26                                 0.694427   \n",
+       "28                                 1.888314   \n",
+       "30                                 0.694427   \n",
+       "31                                -0.551368   \n",
        "\n",
-       "                       onehotencoded_sex         onehotencoded_species  \n",
-       "penguin_id                                                              \n",
-       "0           [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "1           [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "2           [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "3           [{'index': 2, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "4           [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "5           [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "6           [{'index': 2, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "7           [{'index': 2, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "8           [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "10          [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "11          [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "14          [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "15          [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "16          [{'index': 2, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "17          [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "18          [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "20          [{'index': 2, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "21          [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "24          [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "26          [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "27          [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "29          [{'index': 3, 'value': 1.0}]  [{'index': 2, 'value': 1.0}]  \n",
-       "31          [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "32          [{'index': 3, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
-       "33          [{'index': 2, 'value': 1.0}]  [{'index': 1, 'value': 1.0}]  \n",
+       "            standard_scaled_flipper_length_mm             onehotencoded_sex  \\\n",
+       "penguin_id                                                                    \n",
+       "0                                   -1.193942  [{'index': 2, 'value': 1.0}]   \n",
+       "1                                   -1.193942  [{'index': 3, 'value': 1.0}]   \n",
+       "2                                   -1.193942  [{'index': 3, 'value': 1.0}]   \n",
+       "4                                   -0.619171  [{'index': 2, 'value': 1.0}]   \n",
+       "5                                   -0.619171  [{'index': 3, 'value': 1.0}]   \n",
+       "6                                   -0.619171  [{'index': 2, 'value': 1.0}]   \n",
+       "7                                   -0.044401  [{'index': 2, 'value': 1.0}]   \n",
+       "9                                   -0.044401  [{'index': 3, 'value': 1.0}]   \n",
+       "10                                   0.530369  [{'index': 3, 'value': 1.0}]   \n",
+       "11                                  -1.122096  [{'index': 3, 'value': 1.0}]   \n",
+       "12                                  -1.122096  [{'index': 2, 'value': 1.0}]   \n",
+       "13                                  -1.122096  [{'index': 2, 'value': 1.0}]   \n",
+       "14                                  -1.122096  [{'index': 2, 'value': 1.0}]   \n",
+       "15                                  -1.122096  [{'index': 2, 'value': 1.0}]   \n",
+       "16                                  -0.547325  [{'index': 2, 'value': 1.0}]   \n",
+       "18                                  -0.547325  [{'index': 3, 'value': 1.0}]   \n",
+       "19                                  -0.547325  [{'index': 3, 'value': 1.0}]   \n",
+       "20                                  -0.547325  [{'index': 2, 'value': 1.0}]   \n",
+       "21                                  -0.547325  [{'index': 3, 'value': 1.0}]   \n",
+       "22                                  -0.547325  [{'index': 2, 'value': 1.0}]   \n",
+       "24                                  -0.547325  [{'index': 3, 'value': 1.0}]   \n",
+       "26                                   0.027445  [{'index': 3, 'value': 1.0}]   \n",
+       "28                                   0.027445  [{'index': 3, 'value': 1.0}]   \n",
+       "30                                   0.027445  [{'index': 3, 'value': 1.0}]   \n",
+       "31                                   -1.62502  [{'index': 2, 'value': 1.0}]   \n",
+       "\n",
+       "                   onehotencoded_species  \n",
+       "penguin_id                                \n",
+       "0           [{'index': 1, 'value': 1.0}]  \n",
+       "1           [{'index': 1, 'value': 1.0}]  \n",
+       "2           [{'index': 1, 'value': 1.0}]  \n",
+       "4           [{'index': 1, 'value': 1.0}]  \n",
+       "5           [{'index': 1, 'value': 1.0}]  \n",
+       "6           [{'index': 2, 'value': 1.0}]  \n",
+       "7           [{'index': 2, 'value': 1.0}]  \n",
+       "9           [{'index': 1, 'value': 1.0}]  \n",
+       "10          [{'index': 1, 'value': 1.0}]  \n",
+       "11          [{'index': 1, 'value': 1.0}]  \n",
+       "12          [{'index': 1, 'value': 1.0}]  \n",
+       "13          [{'index': 2, 'value': 1.0}]  \n",
+       "14          [{'index': 1, 'value': 1.0}]  \n",
+       "15          [{'index': 1, 'value': 1.0}]  \n",
+       "16          [{'index': 2, 'value': 1.0}]  \n",
+       "18          [{'index': 1, 'value': 1.0}]  \n",
+       "19          [{'index': 1, 'value': 1.0}]  \n",
+       "20          [{'index': 2, 'value': 1.0}]  \n",
+       "21          [{'index': 2, 'value': 1.0}]  \n",
+       "22          [{'index': 1, 'value': 1.0}]  \n",
+       "24          [{'index': 2, 'value': 1.0}]  \n",
+       "26          [{'index': 1, 'value': 1.0}]  \n",
+       "28          [{'index': 2, 'value': 1.0}]  \n",
+       "30          [{'index': 2, 'value': 1.0}]  \n",
+       "31          [{'index': 1, 'value': 1.0}]  \n",
        "...\n",
        "\n",
        "[267 rows x 6 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2096,18 +2138,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b7c22c0858914b46951adde174b43e25",
+       "model_id": "5db4c5c80ba4417db151aa561dab5ee7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job ceced0cc-13a7-4b14-b42c-4d5f69e7e49a is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job b8c690b1-fa1b-4c4c-b802-c8ab37c930c9 is DONE. 359 Bytes processed. <a target=\"_blank\" hr…"
+       "HTML(value='Query job a708b8df-6040-49b1-a6da-d2c0d162f247 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2116,12 +2172,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "95801bb50d0944948b9d1289cf6d9bdc",
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 22839d53-eb3c-4ade-8b10-9784a1926af2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job e9b9cbb5-f6a4-4d85-ba78-1edae77dce94 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2130,12 +2186,12 @@
     {
      "data": {
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 3d396971-8255-4614-b11d-478cb0608916 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 6c0a41a7-a732-413a-b074-ba82f175eab8 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2144,12 +2200,12 @@
     {
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-       "model_id": "2617880b861842fdb103dd5ffd4a1157",
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job f01e17cd-7001-4e30-bd6f-c2ae5ca1d350 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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      "metadata": {},
@@ -2158,12 +2214,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "efd2a71d7df04265a40d32d142033555",
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job feac2ca6-25fd-4535-95c8-6363961308da is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 7fa0bf53-1022-45ee-b3ac-78fa5c155585 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2199,104 +2255,104 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>4295.335461</td>\n",
+       "      <th>3</th>\n",
+       "      <td>3394.118128</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>3338.44131</td>\n",
+       "      <th>8</th>\n",
+       "      <td>4048.685642</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>3201.820204</td>\n",
+       "      <th>17</th>\n",
+       "      <td>3976.454093</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>3982.814079</td>\n",
+       "      <th>23</th>\n",
+       "      <td>3541.582194</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>3538.610664</td>\n",
+       "      <th>25</th>\n",
+       "      <td>4032.844186</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>3613.50305</td>\n",
+       "      <th>27</th>\n",
+       "      <td>4118.351772</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>4009.759444</td>\n",
+       "      <th>29</th>\n",
+       "      <td>4087.767826</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>4240.515635</td>\n",
+       "      <th>34</th>\n",
+       "      <td>3183.755249</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>4028.904195</td>\n",
+       "      <th>35</th>\n",
+       "      <td>3418.802274</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>4206.810346</td>\n",
+       "      <th>39</th>\n",
+       "      <td>3519.186468</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>3736.225488</td>\n",
+       "      <th>51</th>\n",
+       "      <td>3398.135365</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>4383.368544</td>\n",
+       "      <th>52</th>\n",
+       "      <td>3223.615957</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>3125.772789</td>\n",
+       "      <th>60</th>\n",
+       "      <td>3445.014718</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>3149.28765</td>\n",
+       "      <th>61</th>\n",
+       "      <td>3505.638864</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>3531.69488</td>\n",
+       "      <th>64</th>\n",
+       "      <td>3515.905786</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65</th>\n",
-       "      <td>4073.900616</td>\n",
+       "      <td>4028.363185</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>4160.810162</td>\n",
+       "      <th>67</th>\n",
+       "      <td>4159.993943</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83</th>\n",
-       "      <td>3272.396279</td>\n",
+       "      <td>3348.16883</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>87</th>\n",
-       "      <td>3989.364493</td>\n",
+       "      <th>85</th>\n",
+       "      <td>3485.050273</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>92</th>\n",
-       "      <td>4240.495294</td>\n",
+       "      <th>93</th>\n",
+       "      <td>4172.874548</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>3911.455384</td>\n",
+       "      <th>104</th>\n",
+       "      <td>3299.302424</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>104</th>\n",
-       "      <td>3271.202866</td>\n",
+       "      <th>105</th>\n",
+       "      <td>3515.687917</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>3244.728549</td>\n",
+       "      <th>108</th>\n",
+       "      <td>3405.224618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>3737.374636</td>\n",
+       "      <th>113</th>\n",
+       "      <td>4209.140425</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>118</th>\n",
-       "      <td>3485.95604</td>\n",
+       "      <th>130</th>\n",
+       "      <td>4197.905737</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2306,37 +2362,37 @@
       "text/plain": [
        "            predicted_body_mass_g\n",
        "penguin_id                       \n",
-       "9                     4295.335461\n",
-       "12                     3338.44131\n",
-       "13                    3201.820204\n",
-       "19                    3982.814079\n",
-       "22                    3538.610664\n",
-       "23                     3613.50305\n",
-       "25                    4009.759444\n",
-       "28                    4240.515635\n",
-       "30                    4028.904195\n",
-       "38                    4206.810346\n",
-       "41                    3736.225488\n",
-       "45                    4383.368544\n",
-       "49                    3125.772789\n",
-       "50                     3149.28765\n",
-       "62                     3531.69488\n",
-       "65                    4073.900616\n",
-       "66                    4160.810162\n",
-       "83                    3272.396279\n",
-       "87                    3989.364493\n",
-       "92                    4240.495294\n",
-       "98                    3911.455384\n",
-       "104                   3271.202866\n",
-       "114                   3244.728549\n",
-       "115                   3737.374636\n",
-       "118                    3485.95604\n",
+       "3                     3394.118128\n",
+       "8                     4048.685642\n",
+       "17                    3976.454093\n",
+       "23                    3541.582194\n",
+       "25                    4032.844186\n",
+       "27                    4118.351772\n",
+       "29                    4087.767826\n",
+       "34                    3183.755249\n",
+       "35                    3418.802274\n",
+       "39                    3519.186468\n",
+       "51                    3398.135365\n",
+       "52                    3223.615957\n",
+       "60                    3445.014718\n",
+       "61                    3505.638864\n",
+       "64                    3515.905786\n",
+       "65                    4028.363185\n",
+       "67                    4159.993943\n",
+       "83                     3348.16883\n",
+       "85                    3485.050273\n",
+       "93                    4172.874548\n",
+       "104                   3299.302424\n",
+       "105                   3515.687917\n",
+       "108                   3405.224618\n",
+       "113                   4209.140425\n",
+       "130                   4197.905737\n",
        "...\n",
        "\n",
        "[67 rows x 1 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2367,18 +2423,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
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+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job 6f19614c-82c0-4f8b-b74b-9d91a894efdd is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
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       "text/plain": [
-       "HTML(value='Query job 8e88f903-5b13-4305-b259-d17194be16da is DONE. 809 Bytes processed. <a target=\"_blank\" hr…"
+       "HTML(value='Query job 51899e2d-f6ef-4e62-98b6-c11550f74f4b is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2387,12 +2457,12 @@
     {
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       "text/plain": [
-       "HTML(value='Query job a47e5689-f8d0-45f7-84b8-a0f1668eec74 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 44d3fddc-74bc-4de0-a458-2c73b38f74fb is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2401,12 +2471,12 @@
     {
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 5a1b8a7e-146e-4760-9c5d-82717835d3ca is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 33584475-f02b-4c98-9a51-e29996f4f950 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2415,12 +2485,12 @@
     {
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-       "model_id": "ce27fff7cffe48b398d52a7689faded5",
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 5f48318a-64ad-404f-8eea-864e0e26e3d2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job df25ba49-280e-424d-a357-dde71a9b35dd is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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      "metadata": {},
@@ -2429,12 +2499,12 @@
     {
      "data": {
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-       "model_id": "43c559d853b041df84844ab9c6717412",
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 345b19df-f431-4f41-938b-0306937c2882 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 6f92a04e-af7e-41d6-9303-6366c1751294 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2470,104 +2540,104 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>4</td>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>4</td>\n",
+       "      <th>8</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>2</td>\n",
+       "      <th>17</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>4</td>\n",
+       "      <th>23</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>4</td>\n",
+       "      <th>25</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>4</td>\n",
+       "      <th>27</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>2</td>\n",
+       "      <th>29</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>2</td>\n",
+       "      <th>34</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>2</td>\n",
+       "      <th>35</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>4</td>\n",
+       "      <th>39</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>4</td>\n",
+       "      <th>51</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>2</td>\n",
+       "      <th>52</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>4</td>\n",
+       "      <th>60</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>2</td>\n",
+       "      <th>61</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>4</td>\n",
+       "      <th>64</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65</th>\n",
-       "      <td>4</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>2</td>\n",
+       "      <th>67</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83</th>\n",
-       "      <td>2</td>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>87</th>\n",
-       "      <td>2</td>\n",
+       "      <th>85</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>92</th>\n",
-       "      <td>2</td>\n",
+       "      <th>93</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>4</td>\n",
+       "      <th>104</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>104</th>\n",
-       "      <td>2</td>\n",
+       "      <th>105</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>2</td>\n",
+       "      <th>108</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>2</td>\n",
+       "      <th>113</th>\n",
+       "      <td>3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>118</th>\n",
-       "      <td>4</td>\n",
+       "      <th>130</th>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2577,37 +2647,37 @@
       "text/plain": [
        "            CENTROID_ID\n",
        "penguin_id             \n",
-       "9                     4\n",
-       "12                    4\n",
-       "13                    2\n",
-       "19                    4\n",
-       "22                    4\n",
-       "23                    4\n",
-       "25                    2\n",
-       "28                    2\n",
-       "30                    2\n",
-       "38                    4\n",
-       "41                    4\n",
-       "45                    2\n",
-       "49                    4\n",
-       "50                    2\n",
-       "62                    4\n",
-       "65                    4\n",
-       "66                    2\n",
-       "83                    2\n",
-       "87                    2\n",
-       "92                    2\n",
-       "98                    4\n",
-       "104                   2\n",
-       "114                   2\n",
-       "115                   2\n",
-       "118                   4\n",
+       "3                     3\n",
+       "8                     3\n",
+       "17                    3\n",
+       "23                    1\n",
+       "25                    3\n",
+       "27                    3\n",
+       "29                    3\n",
+       "34                    3\n",
+       "35                    1\n",
+       "39                    3\n",
+       "51                    1\n",
+       "52                    3\n",
+       "60                    3\n",
+       "61                    3\n",
+       "64                    1\n",
+       "65                    1\n",
+       "67                    3\n",
+       "83                    3\n",
+       "85                    1\n",
+       "93                    1\n",
+       "104                   3\n",
+       "105                   1\n",
+       "108                   3\n",
+       "113                   3\n",
+       "130                   1\n",
        "...\n",
        "\n",
        "[67 rows x 1 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2634,7 +2704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -2651,7 +2721,7 @@
        "                ('linreg', LinearRegression())])"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2678,18 +2748,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
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        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job c7d094cb-cc51-4f11-8887-b169c23aceb2 is DONE. 32.3 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job ed42cbb3-3d25-47ca-96c5-71a84e426a8c is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2698,12 +2768,12 @@
     {
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        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job dc1e1972-cd00-4cfd-9654-fcf34107077b is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+       "HTML(value='Query job 3fc74930-03b9-4a49-8ed3-c3edc4dd6e51 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2712,12 +2782,12 @@
     {
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 8278900a-3685-4058-8ac8-fda43a71ec61 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 38a4ce3b-5c2a-4d44-b826-f24529d6500b is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2726,12 +2796,12 @@
     {
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job d4ac1341-de7e-432b-ae33-0871f4936412 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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@@ -2740,12 +2810,26 @@
     {
      "data": {
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       "text/plain": [
-       "HTML(value='Query job bddce904-5880-4f05-a61f-91db6aa01af2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+      "text/plain": [
+       "HTML(value='Query job 8fd8036e-3753-433d-975b-c7b42406f648 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -2781,104 +2865,104 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>4295.328991</td>\n",
+       "      <th>3</th>\n",
+       "      <td>3394.116212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>3338.434943</td>\n",
+       "      <th>8</th>\n",
+       "      <td>4048.683645</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>3201.813783</td>\n",
+       "      <th>17</th>\n",
+       "      <td>3976.452358</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>3982.807707</td>\n",
+       "      <th>23</th>\n",
+       "      <td>3541.580346</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>3538.604385</td>\n",
+       "      <th>25</th>\n",
+       "      <td>4032.842027</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>3613.496641</td>\n",
+       "      <th>27</th>\n",
+       "      <td>4118.34983</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>4009.753161</td>\n",
+       "      <th>29</th>\n",
+       "      <td>4087.765797</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>4240.509087</td>\n",
+       "      <th>34</th>\n",
+       "      <td>3183.75379</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>4028.897875</td>\n",
+       "      <th>35</th>\n",
+       "      <td>3418.800633</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>4206.80377</td>\n",
+       "      <th>39</th>\n",
+       "      <td>3519.18471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>3736.219256</td>\n",
+       "      <th>51</th>\n",
+       "      <td>3398.133564</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>4383.362136</td>\n",
+       "      <th>52</th>\n",
+       "      <td>3223.614107</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>3125.766474</td>\n",
+       "      <th>60</th>\n",
+       "      <td>3445.012713</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>3149.281322</td>\n",
+       "      <th>61</th>\n",
+       "      <td>3505.637004</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>62</th>\n",
-       "      <td>3531.688645</td>\n",
+       "      <th>64</th>\n",
+       "      <td>3515.903779</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65</th>\n",
-       "      <td>4073.894238</td>\n",
+       "      <td>4028.361259</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>66</th>\n",
-       "      <td>4160.803738</td>\n",
+       "      <th>67</th>\n",
+       "      <td>4159.991956</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>83</th>\n",
-       "      <td>3272.389735</td>\n",
+       "      <td>3348.167212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>87</th>\n",
-       "      <td>3989.358086</td>\n",
+       "      <th>85</th>\n",
+       "      <td>3485.048557</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>92</th>\n",
-       "      <td>4240.488891</td>\n",
+       "      <th>93</th>\n",
+       "      <td>4172.872284</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>3911.449023</td>\n",
+       "      <th>104</th>\n",
+       "      <td>3299.300454</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>104</th>\n",
-       "      <td>3271.196535</td>\n",
+       "      <th>105</th>\n",
+       "      <td>3515.68617</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>114</th>\n",
-       "      <td>3244.722283</td>\n",
+       "      <th>108</th>\n",
+       "      <td>3405.222757</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>115</th>\n",
-       "      <td>3737.368277</td>\n",
+       "      <th>113</th>\n",
+       "      <td>4209.13832</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>118</th>\n",
-       "      <td>3485.949702</td>\n",
+       "      <th>130</th>\n",
+       "      <td>4197.90382</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2888,37 +2972,37 @@
       "text/plain": [
        "            predicted_body_mass_g\n",
        "penguin_id                       \n",
-       "9                     4295.328991\n",
-       "12                    3338.434943\n",
-       "13                    3201.813783\n",
-       "19                    3982.807707\n",
-       "22                    3538.604385\n",
-       "23                    3613.496641\n",
-       "25                    4009.753161\n",
-       "28                    4240.509087\n",
-       "30                    4028.897875\n",
-       "38                     4206.80377\n",
-       "41                    3736.219256\n",
-       "45                    4383.362136\n",
-       "49                    3125.766474\n",
-       "50                    3149.281322\n",
-       "62                    3531.688645\n",
-       "65                    4073.894238\n",
-       "66                    4160.803738\n",
-       "83                    3272.389735\n",
-       "87                    3989.358086\n",
-       "92                    4240.488891\n",
-       "98                    3911.449023\n",
-       "104                   3271.196535\n",
-       "114                   3244.722283\n",
-       "115                   3737.368277\n",
-       "118                   3485.949702\n",
+       "3                     3394.116212\n",
+       "8                     4048.683645\n",
+       "17                    3976.452358\n",
+       "23                    3541.580346\n",
+       "25                    4032.842027\n",
+       "27                     4118.34983\n",
+       "29                    4087.765797\n",
+       "34                     3183.75379\n",
+       "35                    3418.800633\n",
+       "39                     3519.18471\n",
+       "51                    3398.133564\n",
+       "52                    3223.614107\n",
+       "60                    3445.012713\n",
+       "61                    3505.637004\n",
+       "64                    3515.903779\n",
+       "65                    4028.361259\n",
+       "67                    4159.991956\n",
+       "83                    3348.167212\n",
+       "85                    3485.048557\n",
+       "93                    4172.872284\n",
+       "104                   3299.300454\n",
+       "105                    3515.68617\n",
+       "108                   3405.222757\n",
+       "113                    4209.13832\n",
+       "130                    4197.90382\n",
        "...\n",
        "\n",
        "[67 rows x 1 columns]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2950,18 +3034,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
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        "version_major": 2,
        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job a427bad2-9875-453f-ad2a-1eefaf085657 is DONE. 32.3 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 2a043039-670f-4eb8-9cf0-765ee6ed7de6 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2970,12 +3054,12 @@
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        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job c43f2287-9497-48f8-a8b0-240f5e5cfc20 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+       "HTML(value='Query job 7a3da9b3-e6d5-453a-8178-9cb311e83113 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2984,12 +3068,12 @@
     {
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-       "model_id": "3d9aafdbf89d482f81f2db6a6175c655",
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        "version_major": 2,
        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 1e478912-cc64-43bf-811a-60519787c6d3 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 5fcfd48b-c26f-487e-8387-c662b59ea424 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -2998,12 +3082,12 @@
     {
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-       "model_id": "53961554d97843e1816e89b47d668009",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 825daf98-11ff-467c-b8a0-fc7fc19f520b is DONE. 56 Bytes processed. <a target=\"_blank\" hre…"
+       "HTML(value='Query job bc8b2042-1e13-441c-9531-300ed5badb7a is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -3012,12 +3096,26 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1ce4437c9a604ce1ab6ccae9f241ab36",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 5f5bbf93-1d3e-49cf-aeda-4cf73499e3ac is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 5e867182-dd7a-4aff-87a8-f7596e900fd5 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job d4cdb016-8f1e-4960-8ed7-4524ccc5a8a8 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      "metadata": {},
@@ -3055,12 +3153,12 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>241.640738</td>\n",
-       "      <td>90117.84266</td>\n",
-       "      <td>0.005652</td>\n",
-       "      <td>200.718678</td>\n",
-       "      <td>0.8727</td>\n",
-       "      <td>0.878359</td>\n",
+       "      <td>229.48269</td>\n",
+       "      <td>82962.794947</td>\n",
+       "      <td>0.004248</td>\n",
+       "      <td>206.728384</td>\n",
+       "      <td>0.88633</td>\n",
+       "      <td>0.892953</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3069,15 +3167,15 @@
       ],
       "text/plain": [
        "   mean_absolute_error  mean_squared_error  mean_squared_log_error  \\\n",
-       "0           241.640738         90117.84266                0.005652   \n",
+       "0            229.48269        82962.794947                0.004248   \n",
        "\n",
        "   median_absolute_error  r2_score  explained_variance  \n",
-       "0             200.718678    0.8727            0.878359  \n",
+       "0             206.728384   0.88633            0.892953  \n",
        "\n",
        "[1 rows x 6 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3097,18 +3195,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e56e2cc197894ee9acc448a8c12e8a30",
+       "model_id": "f32692d89f00406499f4ea5aa55268fb",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 929c826c-1051-47fc-9256-546f4ef11c32 is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job e57383ef-f043-458b-96c6-893e7c5b0c00 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -3117,12 +3215,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f863cff7543342b6bb7b26cffd2d9088",
+       "model_id": "72e5f23a99de4a818c8493b8b4f3854d",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 1c7d8f62-2c4f-4fcb-a169-cb9df93dd46c is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 1a9db485-477b-43e2-94eb-dea7dc21d45d is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -3131,12 +3229,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4f0ead00fd48493b874a56a1a4693985",
+       "model_id": "9d5333a91b504dd9be51c997715530ab",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 3129ca19-df93-4a1e-9340-280e782c09ec is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 4570a563-b8e0-4308-b8cb-c4731491d4f7 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -3145,10 +3243,10 @@
     {
      "data": {
       "text/plain": [
-       "0.8726996609087831"
+       "0.8863300923278365"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3166,14 +3264,33 @@
    "source": [
     "## Save/Load to BigQuery\n",
     "\n",
-    "Estimators can be saved to BigQuery as BQML models, and loaded again in future"
+    "Estimators can be saved to BigQuery as BQML models, and loaded again in future.\n",
+    "\n",
+    "Saving requires `bigquery.tables.create` permission, and loading requires `bigquery.models.getMetadata` permission.\n",
+    "These permissions can be at project level or the dataset level.\n",
+    "\n",
+    "If you have those permissions, please go ahead and uncomment the code in the following cells and run."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fbc4a70f31d4465b974a7f7c9cc97731",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Copy job c2413be4-6972-4e36-8234-5063628b6d71 is RUNNING. <a target=\"_blank\" href=\"https://console…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/plain": [
@@ -3199,24 +3316,25 @@
        "                                                  OneHotEncoder(max_categories=1000001,\n",
        "                                                                min_frequency=0),\n",
        "                                                  'species')])),\n",
-       "                ('estimator', LinearRegression())])"
+       "                ('estimator',\n",
+       "                 LinearRegression(optimize_strategy='NORMAL_EQUATION'))])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Replace with a path where you have permission to save a model\n",
-    "model_name = \"bigframes-dev.bqml_tutorial.penguins_model\"\n",
+    "# # Replace with a path where you have permission to save a model\n",
+    "# model_name = \"bigframes-dev.bqml_tutorial.penguins_model\"\n",
     "\n",
-    "linreg.to_gbq(model_name, replace=True)"
+    "# linreg.to_gbq(model_name, replace=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -3244,18 +3362,19 @@
        "                                                  OneHotEncoder(max_categories=1000001,\n",
        "                                                                min_frequency=0),\n",
        "                                                  'species')])),\n",
-       "                ('estimator', LinearRegression())])"
+       "                ('estimator',\n",
+       "                 LinearRegression(optimize_strategy='NORMAL_EQUATION'))])"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# WARNING - until b/281709360 is fixed & pipeline is updated, pipelines will load as models,\n",
-    "# and details of their transform steps will be lost (the loaded model will behave the same)\n",
-    "bigframes.pandas.read_gbq_model(model_name)"
+    "# # WARNING - until b/281709360 is fixed & pipeline is updated, pipelines will load as models,\n",
+    "# # and details of their transform steps will be lost (the loaded model will behave the same)\n",
+    "# bigframes.pandas.read_gbq_model(model_name)"
    ]
   }
  ],
@@ -3275,7 +3394,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
+   "version": "3.10.12"
   },
   "orig_nbformat": 4,
   "vscode": {
diff --git a/notebooks/regression/easy_linear_regression.ipynb b/notebooks/regression/easy_linear_regression.ipynb
index a15a9ac83c..c441a966ec 100644
--- a/notebooks/regression/easy_linear_regression.ipynb
+++ b/notebooks/regression/easy_linear_regression.ipynb
@@ -28,18 +28,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "85c903b5fc554be5bfec0fbb8c885ead",
+       "model_id": "ffc6d6c7815a4a92903a08a11af6db11",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job aa5413d7-83ef-4e29-bd72-6ffb3d1418df is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+       "HTML(value='Query job d1e085ba-66d8-4631-bb51-50a17d0a6e51 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -48,12 +48,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "18ee7daeedf449af808edb550b6eff88",
+       "model_id": "460f64979bc544a7bcdd2206ca1d3067",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job a4a343b7-28b9-4fdd-a823-e21770a2f7bd is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 4468d93d-c22c-43f4-a09b-262b5b830c0e is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -62,12 +62,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "de462ca8a2db40f1bf9c86eccb122539",
+       "model_id": "9f6d3b4d6af3424f9ff2c434f0c3d00e",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job addc9245-ca49-4acb-9b5b-d859f4061431 is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 8fe1dc50-9d32-4466-9c2b-76d32cbde7c5 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
       ]
      },
      "metadata": {},
@@ -76,12 +76,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0b555708afaa4e36a178cf913c056902",
+       "model_id": "042c351aa0944eeeab8b36254f88c072",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 7fe3ffbd-7969-4faa-ad1a-00377d0cfbb3 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job e40d99ae-1b3a-4a12-b4be-e264af8b22e5 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -432,7 +432,7 @@
        "[344 rows x 7 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -457,18 +457,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "782462924bc84b9281d6d66f7f4acbe0",
+       "model_id": "0ddb322731fe4b80b2904e1610862c31",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 6f0e1877-369d-4e9f-81a8-9c00ab1b57b3 is DONE. 28.9 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 7d289291-5c60-4d8f-b476-e46cb2ab06a7 is DONE. 28.9 kB processed. <a target=\"_blank\" href…"
       ]
      },
      "metadata": {},
@@ -477,26 +477,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c4b04c66d7bd4060861774be794578b4",
+       "model_id": "9f91e7a3d7ed416096d7660a110e0eab",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job c0e9c31c-2915-4d59-9661-0a4dcdfe240a is DONE. 31.7 kB processed. <a target=\"_blank\" href…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fb9187c013b7458899fcd8a0bc6312e6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "HTML(value='Query job 21bdae7c-763e-4f1a-b3cd-11b8d3e128e2 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 8411db98-9ec3-4655-a40f-f9bf272e2403 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -821,7 +807,7 @@
        "[146 rows x 6 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -842,7 +828,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -864,9 +850,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "cf14ebed505a4a92b4c72f51c82efe55",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job dcef36e5-4bd6-40f8-88c6-72e84360533f is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LinearRegression()"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from bigframes.ml.linear_model import LinearRegression\n",
     "\n",
@@ -879,18 +890,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "367359e2069c4d198a820d1ced057b81",
+       "model_id": "66af192d9a784994b9d4a48a49c70721",
        "version_major": 2,
        "version_minor": 0
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       "text/plain": [
-       "HTML(value='Query job 56778fb7-779c-4e44-b2a3-04d2e174c562 is DONE. 31.9 kB processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 87895ee3-81d0-4267-8a50-ab00e04664a7 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -899,12 +910,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "eaf1feb084c648a584cafec1f582c4d4",
+       "model_id": "23ae404428394a5e8a42e12e26ad52b8",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 249d42d1-3557-478d-95bd-64fd5de2d16e is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+       "HTML(value='Query job f00512e0-983a-4e93-b209-58205ebad99f is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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      },
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@@ -913,12 +924,12 @@
     {
      "data": {
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-       "model_id": "99e78d3245764803818a45fb82ed5aea",
+       "model_id": "f168bfb949b6422192c61c5c8fa0fd94",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job f6524668-873b-41df-9a67-68dedf1fa734 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 51ba4529-5be9-4e9f-aae6-3c80dd4b36b8 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -927,12 +938,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "25312d4e2c0c4e38b481b48340f4535b",
+       "model_id": "6daeb6a96f834a60a839cc9144c6d3a9",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 6fe78a44-98e1-4518-b877-f294979f3eed is DONE. 56 Bytes processed. <a target=\"_blank\" hre…"
+       "HTML(value='Query job 2e3a6603-9f0e-44ff-9086-2e14ad50bd25 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -941,12 +952,26 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5c9f39fa50444debb728fb9b4f94c72d",
+       "model_id": "163d87d9a2274142b31f5aafa145357a",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 7f62d9c6-dd5e-4f1e-aab3-ddf88e9193b0 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 357878f9-b705-4a03-aeeb-818a51873724 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3d307bbbd60e431a8d5bbd2ef7c41e2b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value='Query job 7d6c2e32-56e7-43ef-9b21-ccd2a25930ea is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1006,7 +1031,7 @@
        "[1 rows x 6 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1018,18 +1043,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "025941ee47864dae956ef25bfe815da4",
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        "version_minor": 0
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-       "HTML(value='Query job 1eabd729-6c75-4087-9c87-0d95327b615c is RUNNING. <a target=\"_blank\" href=\"https://consol…"
+       "HTML(value='Query job a25c445d-9b60-4a8d-a325-1bfacd32bc8d is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -1038,12 +1063,12 @@
     {
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       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9fe4aca91ad64637a8d15e0247f708f8",
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        "version_major": 2,
        "version_minor": 0
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-       "HTML(value='Query job c8a941c4-f200-49f9-a00b-f942acc35355 is DONE. 8 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job b881b602-abfa-4c19-a385-2480b3e8b2bd is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -1052,12 +1077,12 @@
     {
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-       "model_id": "b05568f8651e4dfa9a8417c8d00173de",
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        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 03b89481-fc04-4bd7-a88a-bf500a03bf12 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 03249520-93d3-4b2e-8976-f49cc4efe520 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
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@@ -1066,12 +1091,12 @@
     {
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       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a5d7d2fd014b471b9903c72f0c9feeba",
+       "model_id": "68049943e6ad477988b9e65a962ecdf2",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job dc2e7ed5-25f6-45de-bb71-203772957ee5 is DONE. 16 Bytes processed. <a target=\"_blank\" hre…"
+       "HTML(value='Query job 31094013-70ea-415f-8b96-85c1af7ee9c8 is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
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      },
      "metadata": {},
@@ -1080,12 +1105,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "750506b2d4f548b2b3e7bc2bda93f66e",
+       "model_id": "341e6796def340cb9e0681ddeb40ff9d",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HTML(value='Query job 41e6f6de-7a25-4351-9044-e881611cbabd is DONE. 0 Bytes processed. <a target=\"_blank\" href…"
+       "HTML(value='Query job 0e456f33-4cb7-45a0-88e6-29324175b5a6 is RUNNING. <a target=\"_blank\" href=\"https://consol…"
       ]
      },
      "metadata": {},
@@ -1132,7 +1157,7 @@
        "[1 rows x 1 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1152,23 +1177,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "256ff43296a9405f890e78511acc38e5",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "LinearRegression()"
+       "HTML(value='Copy job 1a273ccd-212a-4750-a3c1-615256af6d48 is RUNNING. <a target=\"_blank\" href=\"https://console…"
       ]
      },
-     "execution_count": 9,
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LinearRegression(optimize_strategy='NORMAL_EQUATION')"
+      ]
+     },
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# save the model to a permanent location in BigQuery, so we can use it in future sessions (and elsewhere in BQ)\n",
-    "model.to_gbq(\"bqml_tutorial.penguins_model\", replace=True)"
+    "model.to_gbq(\"bigframes-dev.bqml_tutorial.penguins_model\", replace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5. Reload from BigQuery"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "LinearRegression(optimize_strategy='NORMAL_EQUATION')"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# WARNING - until b/281709360 is fixed & pipeline is updated, pipelines will load as models,\n",
+    "# and details of their transform steps will be lost (the loaded model will behave the same)\n",
+    "bigframes.pandas.read_gbq_model(\"bigframes-dev.bqml_tutorial.penguins_model\")"
    ]
   }
  ],