update

Author: trayc7

_episodes/05-seaborn-viz.md

@@ -167,7 +167,7 @@ my_fig.set_axis_labels('Weight (g)', 'Hindfoot Length (mm)')
 > Remember how to access subsets of a DataFrame based on conditional criteria?
 > Plot the scatter plot above for only plot number `12` and color by `sex`. (Make the markers larger circles.)
 >
-<!-- > > ## Solution
+> > ## Solution
 > > 
 > > ~~~
 > > my_fig = sns.lmplot(x="weight", y="hindfoot_length", 
@@ -180,7 +180,7 @@ my_fig.set_axis_labels('Weight (g)', 'Hindfoot Length (mm)')
 > > {: .python}
 > > 
 > > ![png](../fig/05-seaborn-scatter-9.png)
-> {: .solution} -->
+> {: .solution}
 {: .challenge}
 
 
@@ -232,7 +232,7 @@ ax.set(ylabel='Species ID', xlabel='Weight (g)')
 > measurements for different sexed animals from a single 
 > species, [*Onychomys leucogaster* (OL)](https://en.wikipedia.org/wiki/Northern_grasshopper_mouse), one of the coolest rodent species:
 >
-<!-- > > ## Solution
+> > ## Solution
 > > 
 > > ~~~
 > > fig, ax = plt.subplots(figsize=plot_dims)
@@ -241,7 +241,7 @@ sns.violinplot(x='sex', y='weight', data=surveys_complete[surveys_complete.speci
 > > {: .python}
 > > 
 > > ![png](../fig/05-seaborn-violinplot-2.png)
-> {: .solution} -->
+> {: .solution}
 {: .challenge}
 
 # Histograms