Data Navigator

Data Navigator enables teams to explore data quickly by loading a dataset reference, selecting relevant fields, applying filters, and generating concise summaries. It accepts CSV, JSON, or SQL-backed sources and returns counts, samples, and basic metrics without requiring code.
Conceptually, the tool treats a dataset as a collection of rows; filters reduce the set, selected columns define the view, and aggregations compute metrics. Outputs include row_count, a representative sample, and computed summaries to support quick decisions.
Who benefits includes data analysts, marketing analysts, product managers, and BI teams seeking faster insight; its unique value lies in no-code data exploration, transparent calculations, multi-source compatibility, and ready-to-export outputs. Use cases include campaign performance analysis, market research, and product analytics where stakeholders need reproducible results.
Core features span dataset reference inputs, validation, multi-criteria filtering, common aggregations (sum, avg, min, max), sample extraction, and export-ready outputs to CSV/JSON for downstream workflows.