This project uses Python and Power BI to analyze global mental health data, focusing on disorder prevalence, disease burden, and treatment gaps. It combines exploratory data analysis with an interactive dashboard to provide insights into mental health trends and patterns.
From the README
🌍 Global Mental Health Analysis Exploring Mental Health Disorders, Prevalence, Disease Burden & Treatment Gaps 📌 Project Overview This project analyzes global mental health data to identify patterns and trends across different mental disorders, countries, and years. The analysis focuses on understanding the prevalence of mental disorders, disease burden, untreated cases, and the availability of primary prevalence data across countries. The project combines Python-based exploratory data analysis with an interactive Power BI dashboard to transform raw datasets into meaningful insights. --- 🎯 Project Objective The main objective of this project is to analyze global mental...
Skills
- Jupyter Notebook
