add a couple new data chapter resources

mattmakai · mattmakai · commit cfcfed717336 · 2019-03-16T11:59:10.000-04:00
diff --git a/content/pages/03-data/08-django-orm.markdown b/content/pages/03-data/08-django-orm.markdown
@@ -82,6 +82,13 @@ that have been added throughout the project's history.
   shows you how to log authentication failures, create an IP addresses white
   list and combine fail2ban with the authentication failures list.
 
+* [How to Turn Django Admin Into a Lightweight Dashboard](https://hakibenita.com/how-to-turn-django-admin-into-a-lightweight-dashboard)
+  and
+  [How to Use Grouping Sets in Django](https://hakibenita.com/how-to-use-grouping-sets-in-django)
+  are two great posts on how to add custom features to the Django Admin
+  as well as optimize with more advanced SQL when the first attempt
+  at the queries get slow due to larger amounts of data.
+
 * [Sorting querysets with NULLs in Django](https://www.isotoma.com/blog/2015/11/23/sorting-querysets-with-nulls-in-django/)
   shows what to do if you're struggling with the common issue of sorting
   columns that contain NULL values.
diff --git a/content/pages/03-data/18-data-visualization.markdown b/content/pages/03-data/18-data-visualization.markdown
@@ -68,6 +68,10 @@ easier for humans to see patterns, trends and other useful information.
   uses Python, numpy and scikit-image to animate how sorting algorithms 
   work.
 
+* [How to Build a Reporting Dashboard using Dash and Plotly](https://towardsdatascience.com/how-to-build-a-complex-reporting-dashboard-using-dash-and-plotl-4f4257c18a7f)
+  explains how to use the Dash library to take a bunch of data and
+  turn it into a nice-looking dashboard.
+
 
 ### Beautiful example visualizations
 Sometimes you need inspiration from other sources to figure out what
diff --git a/content/pages/06-devops/18-web-analytics.markdown b/content/pages/06-devops/18-web-analytics.markdown
@@ -116,6 +116,12 @@ application before taking some action, such as purchasing your service.
 * [Deconstructing the Google Analytics tracking script](https://billfranklin.svbtle.com/deconstructing-the-ga-script)
   breaks down the JavaScript found in the Google Analytics script.
 
+* [Roll your own analytics](https://www.pcmaffey.com/roll-your-own-analytics/)
+  shows you how to use [AWS Lambda](/aws-lambda.html) and some custom 
+  JavaScript to create your own replacement for Google Analytics. This route
+  is not for everyone but it is really useful if you want to avoid the Google
+  data trap.
+
 * This beginner's guide to 
   [math and stats behind web analytics](http://www.seotakeaways.com/beginners-guide-maths-stats-web-analytics/)
   provides some context for understanding and reasoning about web traffic. 
