Address comments

notebooks/case_studies/Streaming_Visualizations_with_Hvplot_Datashader.ipynb

@@ -15,9 +15,7 @@
    "source": [
     "## Overview\n",
     "   \n",
-    "Within this notebook, we will cover:\n",
-    "\n",
-    "1. How to use Kerchunk, hvPlot, and Datashader to easily parts of the dataset in a streaming fashion.\n",
+    "This notebook will demonstrate how to use Kerchunk with hvPlot and Datashader to lazily visualize a reference dataset in a streaming fashion.\n",
     "\n",
     "We will be building off content from [Kerchunk and Pangeo-Forge](../case_studies/NetCDF_Pangeo_Forge_gridMET.ipynb), so it's encouraged you first go through that.\n",
     "\n",
@@ -45,6 +43,16 @@
     "This enables visualization on-the-fly; simply pass in the URL to the dataset and use hvplot."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8e2c4765",
+   "metadata": {},
+   "source": [
+    "## Getting to Know The Data\n",
+    "\n",
+    "`gridMET` is a high-resolution daily meteorological dataset covering CONUS from 1979-2023. It is produced by the Climatology Lab at UC Merced. In this example, we are going to look create a virtual Zarr dataset of a derived variable, Burn Index. "
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f8d0f8f1",