QRP to Excel converter
Convert QRP data files to Excel spreadsheets for data analysts and IT teams needing accurate field mapping and easy downstream editing.

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About This Tool
The QRP to Excel converter ingests QRP data files and outputs an Excel workbook. It targets data analysts, engineers, and auditors who require an editable, tabular view for validation and downstream processing. The tool preserves data types, aligns source fields to Excel columns, and can create multiple sheets if the source contains modular sections. It is designed for batch-ready workflows, archival, and BI integration.
Conceptually, the system parses the QRP payload, infers a relational-like schema, and writes rows and columns to one or more sheets. It maps fields to columns, casts numeric, date, and text types appropriately, and applies locale-aware formatting when available. It supports optional custom mappings to override the automatic inference and to constrain schema shape.
Beneficiaries include data teams, compliance auditors, and product managers who need transparent data lineage and easy editability. Typical use cases are exporting quarterly reports, reconciling records, and feeding spreadsheet-based analyses. The tool’s value lies in its predictable, auditable output, its ability to handle large QRP files via batch processing, and its support for validation reporting that flags missing fields or type mismatches. Core features include: automatic schema inference, field-to-column mapping, two export modes (single-sheet or multi-sheet), and an optional mapping_profile for advanced users. Use cases range from one-off conversions to automated pipelines.
Assumptions: QRP is a parseable format with a stable schema; UI, ETL integration specifics, and data cleansing are out of scope; locale and formatting are configurable via profiles wherever possible.
How to Use
1. Provide inputs: Upload the QRP file or paste the QRP payload to the converter.
2. Choose mapping: Use automatic inference or supply a custom mapping_profile to control field-to-column mappings and sheet names.
3. Run conversion: Trigger the conversion to generate an Excel workbook and optional validation report.
4. Retrieve outputs: Download output_file (.xlsx) and any validation_report JSON produced.
5. Validate results: Inspect mapped fields and data types; adjust mapping if necessary and re-run.

FAQs/Additional Resources
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