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mental_health_survey

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mental_health_survey

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JJoe Rozman
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

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