diff --git a/_toc.yml b/_toc.yml
index 05d846b..3d19b2c 100644
--- a/_toc.yml
+++ b/_toc.yml
@@ -23,9 +23,9 @@ parts:
       - file: notebooks/03-plotting-with-uxarray/grid-viz
       - file: notebooks/03-plotting-with-uxarray/data-viz
       - file: notebooks/03-plotting-with-uxarray/geo
-      - file: notebooks/03-plotting-with-uxarray/compare-xarray
       - file: notebooks/03-plotting-with-uxarray/customization
       - file: notebooks/03-plotting-with-uxarray/high-res
+  #      - file: notebooks/03-plotting-with-uxarray/compare-xarray
 
   - caption: Visualization Recipies
     chapters:
diff --git a/notebooks/03-plotting-with-uxarray/data-viz.ipynb b/notebooks/03-plotting-with-uxarray/data-viz.ipynb
index f647698..14b4d79 100644
--- a/notebooks/03-plotting-with-uxarray/data-viz.ipynb
+++ b/notebooks/03-plotting-with-uxarray/data-viz.ipynb
@@ -19,9 +19,6 @@
     "* Point plotting techniques (vector & raster)\n",
     "* Handling periodic elements for 2D visualization\n",
     "\n",
-    "### Related Documentation \n",
-    "\n",
-    "* [UXarray Plotting User Guide](https://uxarray.readthedocs.io/en/latest/user-guide/plotting.html)\n",
     "\n",
     "**Time to learn**: 15 minutes\n",
     "\n",
@@ -37,11 +34,11 @@
     "## Introduction\n",
     "\n",
     "\n",
-    "## Building on Grid Visualization\n",
+    "###  Building on Grid Visualization\n",
     "\n",
     "Our exploration of unstructured grid visualization continues from the [previous section](grid-viz), where we examined geometric visualization using the `Grid` class. We now advance to the next critical aspect: visualizing data variables mapped to unstructured grid elements.\n",
     "\n",
-    "## Understanding Data Element Mapping\n",
+    "###  Understanding Data Element Mapping\n",
     "\n",
     "The visualization approach for unstructured grid data depends fundamentally on how data variables map to specific grid elements. Each variable may correspond to nodes, edges, or faces, and this mapping determines the most effective visualization strategy. This relationship between data and grid elements forms the foundation for selecting appropriate visualization techniques that accurately represent your data's spatial distribution and relationships."
    ],
diff --git a/notebooks/03-plotting-with-uxarray/grid-viz.ipynb b/notebooks/03-plotting-with-uxarray/grid-viz.ipynb
index 3a4ef2f..aa4fa7b 100644
--- a/notebooks/03-plotting-with-uxarray/grid-viz.ipynb
+++ b/notebooks/03-plotting-with-uxarray/grid-viz.ipynb
@@ -112,7 +112,7 @@
     "\n",
     "### Corner Nodes\n",
     "\n",
-    "Corner nodes define the fundamental geometry of each grid element through their latitude and longitude coordinates, which are stored in the `Grid.node_lat` and `Grid.node_lon` variables respectively. \n",
+    "Corner nodes define the fundamental geometry of each grid element through their latitude and longitude coordinates, which are stored in the `Grid.node_lat` and `Grid.node_lon` variables. \n",
     "\n"
    ],
    "id": "bb28fe23ce8bac55"
@@ -133,7 +133,7 @@
    "source": [
     "### Face Centers\n",
     "\n",
-    "Face centers represent the geometric centroid of each grid element, with their latitude and longitude coordinates stored in the `Grid.face_lat` and `Grid.face_lon` variables respectively. "
+    "Face centers represent the geometric centroid of each grid element, with their latitude and longitude coordinates stored in the `Grid.face_lat` and `Grid.face_lon` variables."
    ],
    "id": "366153db5c1e1f4f"
   },