Finding Trends in Big City Health Issues with Data Visualization

Author

Shridhar Kulkarni, Harrisburg University of Science and TechnologyFollow

Completion Date

Spring 4-17-2020

Document Type

Thesis

Degree Name

Master of Science (MS)

Program or Discipline Name

Healthcare Informatics

First Advisor

Glenn Mitchell

Abstract

In recent years, data visualization has become one of the most effective tools to understand and identify unseen features of the large datasets available. An open source data set available for health issues for big cities across the United States was obtained. There are numerous indicators presented in the dataset including Demographics, Chronic Health Diseases, Social and Economic Factors, Food Safety, Mortality Rates, Cancer and Life Expectancy Rates. The dataset encompassed myriad of demographics as well as specific data for a number of US cities. The data was explored in different methods in Data points in terms of the demographic data available. These data visualizations could be used to understand and identify trends for providing improvement in vital areas of public health issues faced by these populated centers. The project employed R studio software. Multiple data visualization was created and discussed in detail.

Recommended Citation

Kulkarni, S. (2020). Finding Trends in Big City Health Issues with Data Visualization. Retrieved from https://digitalcommons.harrisburgu.edu/hcms_dandt/12