ai_powered_job_insights
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This visualization displays JSON-formatted records from the AI job market insights dataset, highlighting fields like job title, industry, salary, and AI adoption level. The code imports a CSV file and converts numeric string values into numbers using JavaScript’s unary plus operator. It then renders the first data entry as a formatted JSON string inside an HTML `<pre>` element, with the font size controlled via inline CSS. The dataset originates from Kaggle and explores correlations between job attributes and AI-related metrics.
AI-generated description- Update the README with details about your dataset (including original source)
- Replace
data.csvwith your own data - Replace the parsing logic in
index.jswith your own - Set the custom URL so you can import from it easily
- The third dataset I chose is an ai powered job market insight dataset https://www.kaggle.com/datasets/uom190346a/ai-powered-job-market-insights
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.mdto indicate the original data source
Tasks Identified
- I want to see the correlation location to ai adoption level
- I want to see the correlation with company size and ai adoption level
- I want to see the job growth projection per industry
- I want to see the distribution of automation risk and location
- I want to see the correlation with industry and remote friendly
MIT Licensed