diff --git a/README.rst b/README.rst
index 2c81c45..3e91d13 100644
--- a/README.rst
+++ b/README.rst
@@ -61,6 +61,9 @@ Viewers
 This package contains two experimental Plotly-powered viewers which can be used with glue-jupyter - a
 scatter viewer and a histogram viewer. More viewers to come in the future!
 
+`This notebook <https://github.com/glue-viz/glue-plotly/blob/main/doc/PlotlyViewerExample.ipynb>`_ demonstrates
+basic usage of the these viewers, such as importing and viewer creation.
+
 
 =================
 Package Structure
diff --git a/doc/PlotlyViewerExample.ipynb b/doc/PlotlyViewerExample.ipynb
new file mode 100644
index 0000000..c43cba1
--- /dev/null
+++ b/doc/PlotlyViewerExample.ipynb
@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "75a31f1b-a32a-42ba-a016-f324faa9f3a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from glue.core import Data\n",
+    "from glue_jupyter import jglue\n",
+    "from glue_plotly.viewers.histogram.viewer import PlotlyHistogramView\n",
+    "from glue_plotly.viewers.scatter.viewer import PlotlyScatterView"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0746adc6-dbe1-4f85-8690-da24458667c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "app = jglue()\n",
+    "session = app.session\n",
+    "dc = app.session.data_collection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "95d749da-73c8-432a-9a23-85d37e1b6fb5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from random import randint\n",
+    "x = [randint(0, 100) for _ in range(100)]\n",
+    "y = [randint(300, 400) for _ in range(100)]\n",
+    "data = Data(label='data', x=x, y=y)\n",
+    "dc.append(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf42768e-6d31-4375-90ee-facd8d19800a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "viewer = app.new_data_viewer(PlotlyScatterView, data=data)\n",
+    "layer = viewer.layers[0]\n",
+    "layer.state.color = \"#ff0000\"\n",
+    "layer.state.size = 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e66be74-929f-4cfa-910c-9d3b65b4ac91",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "viewer = app.new_data_viewer(PlotlyHistogramView, data=data)\n",
+    "layer = viewer.layers[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f9d9ffe-ec2e-4d7f-aa8b-8b2a7524b9c2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}