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Mental Health & Wellness Dashboard

An interactive Tableau dashboard analyzing the correlation between wellness habits and self-reported mental health outcomes in Nigerian youth.

Project Overview & Goal
The primary goal of this project was to move beyond anecdotal evidence and use data to explore the tangible relationship between specific wellness practices (including faith-based activities) and psychological well-being. I aimed to create an accessible, visual tool that could help community leaders, mental health advocates, and individuals understand which habits are most correlated with positive mental health, thereby informing the development of effective wellness programs.

Tools
Data Visualization: Tableau
Data Cleaning & Analysis: Microsoft Excel
Data Collection & Preparation: Microsoft Excel, Google Forms

Key Findings & Impact
The analysis revealed several key insights, including a significant positive correlation between regular community engagement and lower reported anxiety scores. The final dashboard serves as a powerful tool for non-technical stakeholders, translating complex data into a clear and actionable format. It provides an evidence-based foundation for discussions around mental health and wellness in the community..

My Role & Tools Used
As the sole data analyst on this project, I was responsible for the entire data lifecycle, from collection and cleaning to analysis and visualization.

Methodology -The project followed a structured analytical process:
Data Collection -Anonymized survey data was collected, focusing on demographics, frequency of specific wellness/spiritual habits, and scores on standardized mental health scales (GAD-7 for anxiety).
Data Cleaning -I used Microsoft Excel to process the raw data, handling missing values, standardizing responses, and ensuring complete anonymity.
Analysis & Visualization -I performed correlation and comparative analyses to identify significant relationships between variables. The cleaned data was then imported into Tableau to build an interactive dashboard, allowing users to filter the data and explore insights on their own.

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