Intelligent Application if defined technically is a strategy that uses hyper-personalized mobile app experiences and services and knowledge-extraction processes to increases the user experience (Jessica Ekholm, 2017). In simple words, the applications that not only know how to support or enable key decisions but also continually learn from the user interactions to become even more relevant and valuable to those users, are known as Intelligent apps. Such applications are smart enough to differentiate between relevant and irrelevant information with the help of AI algorithms. Moreover, these apps have the capability to ease the complex task into the as simple task as a single touch.
This document is a supplement to the University of Cincinnati's Power Session workshop presented at Data Day 2019 by Richard Johansen and Mark Chalmers. The goal of this document is to reproduce the step-by-step instructions of the Power Session which demonstrated how to create interactive maps of social vulnerability at the county level. Familiarity with GitHub, R and RStudio environments are highly recommended, but not required to follow this tutorial. For a more in-depth explanation as to how the data was retrieved, cleaned, and manipulated, please refer to the full R script called Mapping_Social_Vulnerability.R located in the Scripts folder of the GitHub repository.