The files found in this document represent the lectures and corresponding weekly projects for the UCLA specialisation program taking place from September 24, 2018 to December 5, 2018. The program is the combination of four classes: UCLA CSX 450-1 // Introduction to Data Science, UCLA CSX 450-4 // Machine Learning with R, UCLA CSX 450-2 // Exploratory Data Analysis and Visualization, UCLA CSX 450-3 // Hadoop and Managing Big Data. More information can be found in the syllabus within this repository.
I can see many ways to improve the project. As you can see from the commented section, I planned on adding another widget to the second page that would allow a user to compare two or more states directly. I also wanted to improve the speed of the tool and the problem of bugging. That said, my goal with this project was to learn how to use shiny, and I have. Any more work I would put in I feel would not be time efficient. Learning python is now my next goal.