Addressed Max's suggestions

Author: Heather Craker

core/matplotlib/annotations-colorbars-layouts.ipynb

@@ -544,7 +544,7 @@
    "metadata": {},
    "source": [
     "### The `Normalize` Class\n",
-    "Note that both plots use the `norm` kwarg. The `Normalize` class linearly normalizes data into the [0, 1] interval. This is used to linearly map the colors in the colormap to the data from `vmin` to `vmax`. In fact, we used this when plotting the histograms just above! The `vmin` and `vmax` kwargs for `hist2d` are simply passed into the `Normalize` function. When making a custom colormap, it is best to specify how you want the data normalized.\n",
+    "Note that both plots use the `norm` kwarg. The `Normalize` class linearly normalizes data into the [0, 1] interval. This is used to linearly map the colors in the colormap to the data from `vmin` to `vmax`. In fact, we used this functionality in the previous histogram exercise! The `vmin` and `vmax` kwargs for `hist2d` are simply passed into the `Normalize` function. When making a custom colormap, it is best to specify how you want the data normalized.\n",
     "\n",
     "For non-linear nomalization, check out this [Colormap Normalization tutorial](https://matplotlib.org/stable/tutorials/colors/colormapnorms.html#)."
    ]