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Analyze CSV data and produce summary statistics with a chart
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Based on SOC occupation classification
Echoes input back as output — tests input/output round-trip
Reports sandbox environment variables — tests env injection
Produces multiple file artifacts — tests artifact collection
Extract text content from a base64-encoded PDF
Produce a summary of input text using extractive summarization
Count word frequencies in text
| name | data-analysis |
| version | 1.0.0 |
| description | Analyze CSV data and produce summary statistics with a chart |
| lang | python |
| image | python:3.12-slim |
| timeout | 60s |
| resources | {"memory":"256Mi","cpu":"0.5"} |
Analyze CSV or JSON data and produce summary statistics.
Provide data as a JSON object with a data field containing an array of records,
or a csv field containing raw CSV text.
Writes a JSON summary to output.json with descriptive statistics per column.
If the data has numeric columns, writes a summary_chart.png bar chart to the
files output directory.
