Enhancing DataTrail Data Science Education: The BaltimoreTrails R Package and Shiny Web-App

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Date
2023-08-08
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Johns Hopkins University
Abstract
This thesis presents BaltimoreTrails, a tool designed to enhance data science education within the DataTrail curriculum. By integrating Baltimore-specific datasets into an interactive Shiny Web-App, BaltimoreTrails provides unique data access and an interactive learning experience for students and educators. Additionally, the tool aims to foster a deeper understanding of data science concepts through interactive data exploration and visualization, thereby enhancing the overall learning experience. The development of this tool fills a knowledge gap by providing a software tool that enables the easy incorporation of many Baltimore-specific data sets into a graphical user interface to be used by students to support the teaching goals of the DataTrail program and adds directly to the curriculum by providing additional interactive tutorials and exercises on each DataTrail chapter.
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Keywords
DataTrail, Data Science Education
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