Heart Disease Data Visualization
This repository hosts a data visualization project on heart disease. It employs D3.js, HTML, CSS, and JavaScript to generate interactive charts and a dashboard. The project explores anonymized patient data including age, gender, cholesterol, smoking habits, and family history to analyze correlati...
Overview
The Heart Disease Data Visualization project is an innovative tool designed to help users explore and understand the connections between various factors and heart disease. Utilizing a comprehensive dataset that includes attributes such as age, gender, cholesterol levels, and lifestyle choices, this project presents data through interactive visualizations. Built primarily with D3.js, the application offers an engaging way to analyze trends and insights related to heart disease.
The visualizations are structured to allow users to investigate different aspects of the data, making it ideal for both healthcare professionals and individuals interested in personal health. The diverse charts and graphs not only make the data easier to comprehend but also highlight the significant correlations that could impact heart health.
Features
- Dashboard View: Offers a comprehensive overview of multiple charts displayed simultaneously for easy analysis of various factors.
- Age Distribution Visualization: Displays the prevalence of heart disease across different age groups, allowing for quick insights on risks segmented by age.
- Gender and Disease Proportions: Utilizes a pie chart to show the ratio of heart disease cases between genders, highlighting demographic disparities.
- Smoking and Disease Relationship: Illustrates how smoking habits correlate with heart disease incidence, emphasizing lifestyle impacts on health.
- Exercise and Heart Health: Visualizes the connection between exercise frequency and heart disease, suggesting the importance of physical activity.
- Cholesterol Levels Visualization: Connects cholesterol levels to the likelihood of heart disease, underscoring the role of dietary choices.
- BMI Correlation: Shows how Body Mass Index (BMI) relates to heart disease, providing insights into weight management's role in heart health.
- Family History Impact: Represents the significance of family history in the context of heart disease, helping users assess their risk based on genetic factors.
This project is a valuable resource for those seeking to understand the factors impacting heart disease and make informed health decisions based on data-driven insights.