diff --git a/doc/index.md b/doc/index.md
index 81dcc772d..427bd81c2 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -123,7 +123,8 @@ import duckdb
 import hvplot.duckdb
 from bokeh.sampledata.autompg import autompg_clean as df
 
-table = df.groupby(['origin', 'mfr'])['mpg'].mean().sort_values().tail(5)
+df_duckdb = duckdb.from_df(df)
+table = df_duckdb.groupby(['origin', 'mfr'])['mpg'].mean().sort_values().tail(5)
 table.hvplot.barh('mfr', 'mpg', by='origin', stacked=True)
 ```
 ```{image} ./_static/home/dask.gif
diff --git a/doc/user_guide/Integrations.ipynb b/doc/user_guide/Integrations.ipynb
index 65da69c16..76676d013 100644
--- a/doc/user_guide/Integrations.ipynb
+++ b/doc/user_guide/Integrations.ipynb
@@ -254,19 +254,13 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a46e377e-729a-4f99-b5d3-83b0736cb8a3",
+   "id": "7474a792-2cfd-4139-a1cd-872f913fa07b",
    "metadata": {},
    "source": [
     ":::{note}\n",
     "Added in version `0.9.0`.\n",
-    ":::"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7474a792-2cfd-4139-a1cd-872f913fa07b",
-   "metadata": {},
-   "source": [
+    ":::\n",
+    "\n",
     ":::{important}\n",
     "While other data sources like `Pandas` or `Dask` have built-in support in HoloViews, as of version 1.17.1 this is not yet the case for `Polars`. You can track this [issue](https://github.com/holoviz/holoviews/issues/5939) to follow the evolution of this feature in HoloViews. Internally hvPlot simply selects the columns that contribute to the plot and casts them to a Pandas object using Polars' `.to_pandas()` method.\n",
     ":::"
@@ -353,8 +347,6 @@
    "outputs": [],
    "source": [
     "import numpy as np\n",
-    "import hvplot.pandas  # noqa\n",
-    "\n",
     "import pandas as pd\n",
     "\n",
     "df_pandas = pd.DataFrame(np.random.randn(1000, 4), columns=list('ABCD')).cumsum()\n",