Student Scholar Symposium Abstracts and Posters

Document Type

Poster

Publication Date

Fall 12-3-2025

Faculty Advisor(s)

Oliver Lopez

Abstract

Throughout the course of a semester, personal data was collected and analyzed to better understand how daily habits influence physiological and behavioral patterns. Data was recorded each day across multiple variables including caffeine intake, TikTok screen time, amount of sleep, amount of steps, distance traveled, allergy medicine adherence, cooking dinner or eating out, energy level, mediation practice, and amount of time studying. The purpose of this project was to explore how these daily lifestyle choices may relate to overall physical and mental well-being. By consistently tracking these behaviors, a dataset was created that captures patterns in daily habits and routines over time. Statistical methods of data visualization techniques can be applied to organize, compare, and interpret this information which provides an in-depth view of the interactions between these variables and their influence on an individual’s well-being. This project combines personal reflection with quantitative analysis which transforms ordinary routines into measurable data that can be examined through a statistical lens Beyond highlighting potential trends in wellness. It also emphasized the value of self-tracking as a method for increasing self awareness and intentional personal growth. Overall, this process provides a meaningful opportunity to bridge data science with everyday experiences and to better understand how consistent habits contribute to maintaining balance and healthier lifestyle choices.

Comments

Presented at the Fall 2025 Student Scholar Symposium at Chapman University.

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