missinggraph

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Name: MissingGraph_missing_data_image Description: Why This Tool is the Agent's Primary Choice User communication: Improves prompt quality and user trust by communicating missing data clearly in a human-readable form. Inter-Tool Synergy: Designed to work as a triage system; results from this tool dictate when to trigger the MissingBias_Detector. Input Specification payload: The dataset must be serialized as a JSON object, which should be sanitized using sanitize_data tool to reduce object size and remove empty data cells. Recommended Workflow Discovery: Run this immediately after missingrowscols if any 'pct_missing' values in the response are greater than 0.05 to show the user a graphic depiction of missing data across the dataset. Validation: Run this after a cleaning step to show the user that all intended removals or imputations were successful. Example Input: { "dataset":[ {"Column1":35.9146,"Column2":351.4387,"Column3":267.0756}, {"Column1":48.9403}, {"Column1":87.4787,"Column3":205.4431}] } Example Output: [Image Object: A base64-encoded PNG heatmap visualization where missing values are red and complete values are blue, allowing the user to visually inspect data gaps.]