This project analyzes the relationship between blood pressure and various factors to identify potential determinants and risk indicators of hypertension. Conducted using R, the study leverages a population dataset containing multiple variables to explore patterns in blood pressure, a critical indicator of cardiovascular health.
Blood pressure, expressed in millimeters of mercury (mmHg), consists of:
- Systolic Pressure: Pressure in arteries during heartbeats.
- Diastolic Pressure: Pressure in arteries between heartbeats.
The dataset includes measurements for the following variables:
- Age
- BSA (Body Surface Area)
- Weight
- DUR (Drug Utilization Review)
- Pulse
- Stress
This project focuses on:
- Analyzing Variable Influence: Investigating whether the variables impact blood pressure.
- Marginal Effects Analysis: Interpreting the marginal effect of each variable on blood pressure.
The ultimate goal is to enhance understanding of blood pressure patterns and the factors influencing them, thereby contributing to improved cardiovascular health insights.
- Language: R
- Libraries: Include libraries such as
ggplot2,GGally,car, and others for data manipulation, visualization, and analysis.
- Insights into the relationship between blood pressure and the analyzed variables.
- Identification of potential risk indicators for hypertension.
Contributions are welcome! Feel free to submit pull requests or open issues for improvements or additional features.
This project is licensed under the MIT License.
Special thanks to Mohamed El Samahy and Abdelrahman Mostafa Kamel for their contributions and resources that supported this analysis.