Mental-Health-Tech-Usage-Insights-Overview

Overview:

This project explores the relationship between mental health and technology usage through a comprehensive dataset analysis. The study focuses on various aspects such as technology usage patterns, mental health status, and their interplay, providing insights into trends and correlations.

Key Features:

1. Data Analysis: Detailed examination of mental health and technology usage trends to uncover significant patterns.
2. Data Visualization: Clear visualizations of insights using diverse charts and graphs.
3. Insights: Identification of key trends and correlations within the dataset to understand the impact of technology on mental health.

Installation and Usage:

1. Clone the repository:

     git clone https://github.com/yourusername/mental-health-tech-usage.git
   

2. Navigate to the project directory:

     cd mental-health-tech-usage
   

3. Install the required dependencies:

     pip install -r requirements.txt
   

4. Run the Jupyter notebook or script:

     jupyter notebook mental_health_tech_analysis.ipynb
   

or

     python analysis.py

Dependencies:

Python 3.x Jupyter Notebook Pandas Matplotlib Seaborn NumPy Scikit-learn

Dataset:

The dataset includes various attributes related to mental health and technology usage, such as hours spent on technology, mental health status, and more. It provides a comprehensive view of the impact of technology on mental health.

Dataset Link: https://www.kaggle.com/datasets/waqi786/mental-health-and-technology-usage-dataset

Uploaded Date: 9/5/2024