Project Overview
This project analyzes and visualizes data collected during medical examinations. The dataset includes information about patients, such as body measurements, blood test results, and lifestyle choices.
The main goals are to:
- Visualize medical data to detect potential correlations.
- Perform calculations to better understand risk factors.
Dataset
- Rows: Each row corresponds to a patient.
- Columns: Body measurements, blood test results, and lifestyle-related variables.
- Target: Cardiac disease indicator (1 = disease, 0 = no disease).
Methodology
- Data Preparation: Clean the dataset and create new variables (e.g., overweight indicator).
- Exploratory Analysis: Generate descriptive statistics and compare distributions.
- Visualizations: Categorical Plot: Lifestyle factors (smoking, alcohol, activity) vs. cardiac disease. Heatmap: Correlations between body measurements, blood markers, and lifestyle choices.
Results
- Lifestyle choices and body measurements differ between patients with and without cardiac disease.
- Strong correlations appear between certain medical indicators, suggesting potential risk factors.