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mental_health_survey

✓ Published1🌍 Public

Last edited Sep 17, 2024

Created on Sep 5, 2024

This example visualizes correlations among mental health survey responses, focusing on relationships between academic factors and well-being indicators like depression and future insecurity. It parses the CSV data using JavaScript, converting key quantitative fields such as academic workload, social relationships, academic pressure, and depression scores into numbers for analysis. The visualization presents a raw JSON preview of the first survey entry, displaying parsed attributes in a styled preformatted text block. The dataset originates from a Kaggle student mental health survey, with the code preparing structured data for subsequent chart rendering.

AI-generated description

Update the README with details about your dataset (including original source)
Replace data.csv with your own data
Replace the parsing logic in index.js with your own
Set the custom URL so you can import from it easily
The second dataset I chose is a mental health survey https://www.kaggle.com/datasets/abdullahashfaqvirk/student-mental-health-survey

Challenge

Find 3 datasets on a topic you are interested in
For each of those, fork this viz and replace the data
Parse the quantitative attributes into numbers
Update README.md to indicate the original data source

Tasks Identified

I want to see the correlation with academic workload and social relationships
I want to see the correlation with academic pressure and depression
I want to see the correlation with academic year and future insecurity
I want to see the distribution of majors to academic pressure
I want to see the correlation with university and academic pressure

MIT Licensed

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