This repository contains the dataset and analysis code for exploring correlations between music preferences and self-reported mental health in the MxMH survey. The aim is to identify potential relationships between an individual's music taste and their mental health status.
The dataset comprises responses collected through the MxMH survey, where participants provided information on various aspects related to music consumption and mental health. You can access the dataset directly on Kaggle here. To use the dataset in a Kaggle notebook, you can copy the notebook and edit it as needed.
The analysis includes the following steps:
- Data loading and initial exploration
- Data cleaning and preprocessing
- Exploratory data analysis
- Visualization of key insights and trends
- Recommendations based on the findings
music_and_mental_health_survey.ipynb: Jupyter notebook containing the EDA code.cleaned_data.xlsx: Cleaned dataset after preprocessing.- Other files: Additional files generated during the analysis process.
To replicate the analysis or explore the dataset further on Kaggle:
- Click on the Kaggle notebook link.
- Copy the notebook to your Kaggle account.
- Open the copied notebook and run the cells to execute the analysis and generate insights.
- Feel free to edit the notebook and customize the analysis according to your requirements.
This project is licensed under the MIT License.
Special thanks to crasgaitis for managing the data collection process and making the dataset available for analysis.