The Assessment of Well-being Among States and Counties Through DLATK Analysis

Authors: Selin Akcay, Andrew Schwartz, Myra Arif

SUNY Campus: Farmingdale State College

Presentation Type: Poster

Location: UU 111

Presentation #: 68

Timeslot: Session B 10:15-11:15 AM

Abstract: This project aims to provide a measurement of the states and counties well-being while looking at anxiety and depression scores which are “the two leading mental health conditions” (Mangalik, 2024). “People who are depressed often feel anxious and worried. One can easily trigger the other, with anxiety often preceding depression” (Tjornehoj, 2017). One cannot be measured without taking under the condition of the other. One of the essential ways of coming up with our results was by using Python language in Google Colab. We coded by using differential language analysis to configure our Excel spreadsheets to come up with r values that show us the correlation between anxiety and depression with unemployment rate. We have found results that correlate with our hypothesis. Although anxiety and depression alone is not enough to measure a state’s or county's well-being, it is an essential estimate to our study.