I'd like to create a web app that visually highlights common lifestyle patterns among people with heart disease to support healthcare professionals make better decisions.
my initial thoughts My initial observation suggested that there may be a higher number of older men with lower heart rates who also have heart disease. I wanted to explore possible correlations & characteristics shared by people with heart disease.
But I also noticed that many individuals, both male and female, who appear active, sleep well, and have normal heart rates are still represented in the heart disease group.
This shows me that the patterns aren’t always obvious, and to avoid introducing bias, it's better to highlight what the data presents rather than trying to draw assumptions or force correlations.
I've found my data set on Kaggle - Health & Lifestyle dataset focused data points
- Gender
- Age
- Hours_of_Sleep
- Heart_Rate
- Blood_Pressure
- Diabetic
- Heart_Disease my target is heart-disease
- show gender difference (pie chart)
- show blood pressure age + gender (plot)
- sleep + heart rate (plot)
- diabetic + non diabetic (pie chart)
- make sure preswald is installed
pip install preswald - clone the repo
git clone https://github.com/francesbelleza/preswald_HealthWellness_app cd preswald_HealthWellness_app/preswald_project``` - run the dash
preswald run





