Adolescent

Adolescent Behavior Analysis Dashboard

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The Adolescent Behavior Analysis Dashboard is an interactive data visualization project developed to analyze behavioral datasets and uncover meaningful insights related to adolescent mental health trends.

The main objective of this project was to transform raw and large-scale behavioral data into clear, interactive, and actionable visual insights. By using dashboards and dynamic charts, the system helps identify patterns such as mood fluctuations, behavioral changes, stress indicators, and other psychological trends among adolescents.

The dashboard was designed to support data-driven decision-making by presenting complex datasets in a visually understandable format. It includes multiple visualization components such as trend graphs, comparison charts, category-based analysis, and interactive filters that allow users to explore the data from different perspectives.

This project combines data analytics, visualization, and mental health research support, making it highly relevant for both academic research and real-world analytical applications.

Skills Used & Tools

Skills Applied:

Data analysis and interpretation
Data visualization and dashboard design
Behavioral trend analysis
Mental health data research
Interactive reporting and storytelling
Insight generation from datasets
Problem-solving using analytics

Tools & Technologies Used:

Power BI
Streamlit
Python
Pandas
Matplotlib / visualization libraries
Data preprocessing tools
Git & GitHub

Learning Outcome

Through this project, I developed strong practical skills in data analytics and dashboard-based storytelling.

Key learning outcomes include:

transforming raw datasets into meaningful insights
designing professional interactive dashboards
identifying behavioral and mental health trends through data
using visualization tools for better decision-making
improving analytical thinking and interpretation skills
presenting research findings in a user-friendly way

Most importantly, this project enhanced my ability to use data science and visualization techniques to solve socially impactful problems, particularly in the field of adolescent mental health analysis.

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