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+https://towardsdatascience.com/full-stack-visualizations-for-complex-solutions-for-data-scientists-5afc488f60d
+
+While my previous reflection focused on examining the principles of data visualization within the context of front-end development, this article delves into the
+implications of a full-stack approach to software engineering. I think that it is interesting that the visualization capabilities for backend projects is much more
+complex than front-end, allowing techniques such as GIS mapping, for example. They also show the vast library of visualization tools that Python is able to interface
+with, such as Matplotlib, and compatibility with libraries in R, for example. Furthermore, the authors of the article show how using Flask within Python is primarily 
+utilized with an object-oriented programming approach. Overall, my general impression is that there are different implications on the output of data visualization 
+techniques depending on the scope of the project.