Add analysis on the analytics

Hah meta analysis

analyticsReport.txt

@@ -12,5 +12,16 @@ Task d.
     value)
 
     c. Python supports numerous data vis libraries, which two did you pick?
-    We picked matplotlib and plot.ly, as they are the two most popular graphing
-    libraries.
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+    We picked matplotlib and Seaborn, as they are the two most popular graphing
+    libraries, as the most popular, they are also the most stable, which
+    generally means better performance, and better reliabilty, which is
+    important on embedded devices such as Internet of Things devices.
+
+
+    d. comparison of libraries used
+    At the low level of what we were doing, (creating a single graph, with 
+    one dataset) it is clear that matplotlib is the better option for creating
+    graphs in python. For the more advanced graphs, matplotlib is not as
+    efficient as Seaborn. While seaborn is slower and more 'simple' which is
+    pointless when creating a incredibly simple graph.
+    
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