UC Davis Statistics Undergraduate Research Winter 2023

Project Overview

This project aims to visualize and analyze the relationship between heart disease, BMI (Body Mass Index), and blood pressure using data obtained from Kaggle. This research was conducted under the guidance of Professor Fushing Hsieh.

Data Source

The data used in this project is sourced from Kaggle: heart_disease_health_indicators_BRFSS2015.csv (included in repository)

Files Included

1. BMI vs Heart Disease (Tableau)

• File: BMI vs Heart Disease.twbx
• Description: This Tableau workbook includes:
  • Sorting the data into BMI buckets.
  • Plotting the odds of heart disease patients vs. non-heart disease patients.
  • Visualizing BMI against the sample size in each bucket.

2. BMI_HDA_BP (Python - Google Colab)

• File: BMI_HDA_BP.ipynb
• Description: This Python file includes:
  • Sorting the data into BMI buckets.
  • Calculating the odds of low and high blood pressure.
  • Creating a 3D plot to visualize the relationship between heart disease, BMI, and blood pressure.

How to Use

To explore the analyses and visualizations:

• Tableau Workbook: Open the BMI vs Heart Disease.twbx file using Tableau Desktop.
• Google Colab Notebook: Open and run the BMI_HDA_BP.ipynb notebook in Google Colab.