Visualization on Lifestyle and Health’s Effect on Sleep

Sleep
Health
Data
Author

Nathan Reese, Seth Long, and Diego Osejo

Published

May 6, 2025

Visualization on Lifestyle and Health’s Effect on Sleep

In Intro to Industrial Engineering [IENG 21003] our group was tasked with creating four assertion-evidence graphs from a data set collected by a third party.

The data set used, “Sleep, Health, and Lifestyle Data Set” was collected by Laksika Tharmalingam and published 2 years. This researcher recorded a wide range of factors typically gathered in a standard physical as well as other factors pertaining to lifestyle and sleeping habits. Of those factors, these are the ones addressed in the assertion-evidence graphs.

  1. Gender
  2. Sleep Disorders
  3. BMI Category
  4. Stress
  5. Physical Activity Level
  6. Age
  7. Heart Rate
  8. Gender

In sorting the data, we used pivot tables to isolate the variables being compared with each other. Most of the data had to be averaged out to make the graph more concise. With this we were able to arrange the data into a way that made it able to create the necessary graphs.

The first question on our mind: Is BMI a good predictor for Insomnia?

Based on the data, People who reported the highest percentage of Insomnia was overweight and obese.

From the data set, stress level is consistently low among those with high quality sleep.

There is no correlation between Average Heart Rate and Age of Women in the Study

There is a strong correlation between sleep duration and physical activity among men with a sleep apnea.