diff --git a/docs/examples/plotting/Polar_Plotting.py b/docs/examples/plotting/Polar_Plotting.py
index bc0d6d222..46517e31f 100644
--- a/docs/examples/plotting/Polar_Plotting.py
+++ b/docs/examples/plotting/Polar_Plotting.py
@@ -1,14 +1,14 @@
 """
 Polar Plotting Example
-========================
+======================
 This example demonstrates use of the  :class:`~.PolarPlotterly` plotting class.
 :class:`~.PolarPlotterly` uses :func:`plotly.graph_objects.Scatterpolar` to plot ground truths,
 detections, and tracks in a polar plotter.
 
-In this example, two airborne platforms are generated in a Cartesian state space. A
-:class:`~.RadarBearingRange` sensor is used to convert the Cartesian state space to an
-angular one. Angular ground truth is created using measurements without noise. Detections 
-(with noise) are also generated.  Both detections and ground truth are plotted in a polar plot.
+In this example, two platforms are generated in a Cartesian state space. A
+:class:`~.RadarBearingRange` sensor is used to convert the Cartesian state space to an angular one.
+Angular ground truth is created using measurements without noise. Detections (with noise) are also
+generated. Both detections and ground truth are plotted in a polar plot.
 """
 
 # %%
@@ -36,7 +36,7 @@
 # -----------------------------------
 # Two targets are created:
 #  #. Target 1 moves in a ‘C’ shape. First it moves west (negative x), then it starts a slow,
-#     long 180-degree turn moving south, until it is moving east (positive x).
+#     long 180-degree turn anti-clockwise, until it is moving east (positive x).
 #  #. Target 2 moves in a straight line from north to south.
 
 # Create manoeuvre behaviours and durations for our moving platform
@@ -91,9 +91,9 @@
 
 # %%
 # Generate Angular State Space Data
-# ----------------------------------
-# Measure the previously generated cartesian state space using a
-# :class:`~.RadarBearingRange` sensor:
+# ---------------------------------
+# Angular state space data is generated by measuring the previously generated Cartesian state
+# space with a :class:`~.RadarBearingRange` sensor:
 
 # %%
 # Create sensor:
@@ -121,13 +121,13 @@
     detections.extend(sensor.measure({target_1[t], target_2[t]}, noise=True))
 
 # %%
-# Time (s) vs Azimuth Angle (Radians)
+# Azimuth Angle (Radians) vs Time (s)
 # ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 mapping = [0]
 plotter_az_t_cart = Plotterly(dimension=1,
-                              title="Cartesian - Time (s) vs Azimuth Angle (Radians)",
+                              title="Cartesian - Azimuth Angle (Radians) vs Time (s)",
                               xaxis=dict(title=dict(text="Time (seconds)")),
-                              yaxis=dict(title=dict(text="Bearing (Radians)"))
+                              yaxis=dict(title=dict(text="Azimuth Angle (Radians)"))
                               )
 plotter_az_t_cart.plot_ground_truths({angular_ground_truth_1},
                                      mapping=mapping, label="Target 1")
@@ -147,13 +147,13 @@
 # Create Polar Plots
 # ------------------
 # :class:`~.PolarPlotterly` inherits from :class:`~._Plotter` and therefore has all the same
-# methods are the other plotters.
+# methods as the other plotters.
 
 # %%
 # Azimuth Angle (Degrees) vs Time (s)
 # ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 mapping = [0]
-plotter_az_t = PolarPlotterly(title="Azimuth Angle (Degrees) vs Time (s)")
+plotter_az_t = PolarPlotterly(title="Polar - Azimuth Angle (Degrees) vs Time (s)")
 plotter_az_t.plot_ground_truths({angular_ground_truth_1}, mapping=mapping, label="Target 1")
 plotter_az_t.plot_ground_truths({angular_ground_truth_2}, mapping=mapping, label="Target 2")
 plotter_az_t.plot_measurements(detections, mapping=mapping, convert_measurements=False)
@@ -187,9 +187,9 @@
 
 
 # %%
-# Reference XY Plot
-# ^^^^^^^^^^^^^^^^^
-# This is similar to the previous x/y plot but also contains the detections.
+# Reference Cartesian Plot
+# ^^^^^^^^^^^^^^^^^^^^^^^^
+# For comparison, this is the original Cartesian plot with the detections displayed
 plotter_xy.plot_measurements(detections, mapping=[0, 2])
 plotter_xy.fig