HEART HEALTH ANALYSIS
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Project Details:
Tool: Power BI
Project Type: Healthcare Analytics Dashboard
Industry: Healthcare & Medical Research
Overview
This project focused on analyzing patient health data to understand the distribution of heart disease risk factors across different demographics. The dashboard was designed to provide healthcare professionals with quick, actionable insights into patient characteristics such as gender, age group, cholesterol levels, and chest pain types.
By leveraging Power BI visualizations and DAX measures, the analysis helps in early detection patterns and supports decision-making for preventive healthcare strategies.
Objectives:
To determine the demographic distribution of patients at risk of heart disease.
To analyze chest pain types and cholesterol levels as predictors of cardiovascular conditions.
To identify generational differences in heart disease prevalence.
To support medical teams in focusing on high-risk patient groups.
ANALYSIS INSIGHT
Key Metrics
Total Patients: 1,025
Heart Disease Prevalence: 51% (approx. half of patients)
Average Maximum Heart Rate: 149.11
Average Cholesterol Level: 246 mg/dl
DASHBOARD HIGHLIGHTS
Demographics:
Respondents: 114
Gender: 52% Male, 48% Female
Religion: 89% Christian, 11% Muslim
Online & Device Behaviour:
Average online presence is 8 hours daily.
57% use Android while only 43% use iOS.
Most respondents aged 26–35 are the most active online.
Lifestyle Preferences:
Lifestyle Preferences:
Blue is the top favorite color.
WhatsApp is the most used social media platform, followed by Instagram and Twitter.
Phone preference varies by gender but Android dominates overall.
Income & Expenses:
Income & Expenses:
51% spend below ₦100,000, showing cautious spending habits.
However, only 3% spend above ₦500,000.
Conclusion:
Conclusion:
This Excel dashboard reveals that the 26–35 age group dominates online activity, with most preferring Android phones and WhatsApp as their main app. Despite many earning above ₦100,000, a larger portion spends less, indicating mindful financial behavior. The dominance of the color blue also highlights a strong trend in preference.
PROJECT PRESENTATION
General Survey Presentation by LIADI.pdfPage updated
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