Public Health

This interactive and visually compelling dashboard provides comprehensive insights into the relationships between general health indicators, lifestyle habits, and demographic variables. It is designed to support data-driven decision-making in healthcare and wellness industries. Key highlights of the dashboard include:

1. Health and BMI Analysis:

Displays the average Body Mass Index (BMI) across different levels of general health, offering a clear correlation between weight management and perceived health quality.

2. Lifestyle Factors:

Explores the impact of smoking history, alcohol consumption, and exercise habits on overall health. For instance, comparisons between individuals with and without smoking history reveal significant health trends.

3. Demographic Health Breakdown:

Analyzes health status by age categories and sex, providing targeted insights into how age and gender influence wellness.

4. Dietary Insights:

Evaluates fruit and vegetable consumption across health levels, emphasizing the role of diet in maintaining good health.

5. Chronic Disease Relationships:

Connects diabetes and heart disease prevalence with age and other health metrics, helping identify at-risk populations.

6. Weight and Health Correlation:

Highlights the distribution of weight categories across different health statuses to promote awareness of weight-related health risks.

This dashboard combines advanced data visualization techniques with meaningful health metrics, making it an essential tool for healthcare analysts, policy-makers, and fitness organizations. It underscores my ability to transform complex datasets into actionable insights, showcasing expertise in data analysis, visualization tools, and health informatics.