Post-workshop clarifications

Author: devnich

README.org

@@ -2317,9 +2317,15 @@ Let's make a poster!
    sns.set_context('poster')
 
    # Color by species
-   ax = sns.scatterplot(data=iris, x='sepal_length', y='petal_length', hue='species', palette='colorblind', size='petal_width')
+   ax = sns.scatterplot(data=iris, x='sepal_length', y='petal_length', hue='species',
+                        palette='colorblind', size='petal_width')
+
+   # Place legend
+   ax.legend(bbox_to_anchor=(2,1))
    #+END_SRC
 
+   - Read more about ~loc~ vs. ~bbox_to_anchor~ in the legend documentation: https://matplotlib.org/stable/api/legend_api.html
+
 4. The Seaborn plot uses Matplotlib under the hood
    #+BEGIN_SRC python
    # Set the figure size

notebooks/visualization_scratch.ipynb

@@ -300,8 +300,7 @@
     "# Decorate the plot\n",
     "ax.set_title(\"GDP of Austria vs Bulgaria\", fontsize=22, fontweight='bold')\n",
     "ax.set_xlabel(\"GDP of Austria\",fontsize=20, fontweight='bold' )\n",
-    "ax.set_ylabel(\"GDP of Bulgaria\",fontsize=20, fontweight='bold' )\n",
-    "#+END_SRC"
+    "ax.set_ylabel(\"GDP of Bulgaria\",fontsize=20, fontweight='bold' )"
    ]
   },
   {