KST Viewer

KST Viewer provides a code-free environment to explore datasets and generate interpretable visuals for analysis and reporting. It supports common data formats and offers multiple visual modes to reveal patterns, correlations, and distributions. The tool emphasizes reproducibility: the same input data with identical mappings yields the same chart across sessions. Conceptually, it separates data ingestion, mapping, visualization, and export into clear stages so users can audit the workflow. Use cases include quick trend checks before meetings, side-by-side series comparisons for publications, and exporting visuals for dashboards.
The underlying domain logic maps data fields to axes and series, selects a visualization mode, and applies basic scaling and color rules. It enforces consistent units and timestamp formats to prevent misinterpretation. Core features include line, bar, and scatter views, date handling, and deterministic labeling. Optional enhancements such as normalization, histogram binning, and overlay annotations can be enabled to deepen analysis. The tool also provides data export options (CSV/JSON) and image exports (SVG/PNG) for reproducible reporting. The result set includes a visualization plus a lightweight data slice and metadata summary for audits.
Intended users are data scientists, business intelligence professionals, researchers, and engineers who need fast, transparent visuals without deploying code or managing complex toolchains. Unique value lies in its clarity, reproducibility, and clean export paths that support fast iteration and stakeholder communication. Use cases range from exploratory data analysis to presentation-ready visuals and quick report generation.