Data Analysis for Prediction of Health in Society

Abstract

This research focused on how the quality of life affected in term of healthcare, education, and parent’s income. Data analyses review the difference percentage of children without attending school and parent’ s income between all unfair district boundaries of Texas and the average district boundaries were statistically significant at the p value were below 0.05 . For health insurance, children 18 and below without health insurance in 2nd, 7th, 18th and 35th of Texas had p value over 0.05, while only some part of district 29th and 33rd of Texas were statistically significant at the p value were below 0.05. We apply Machine learning models to analyse this phenomena.