# Astrolabe - Storage Examples > **Data structure examples and schema documentation** > > For technical architecture, see [architecture.md](architecture.md) > For feature inventory, see [features-list.md](features-list.md) --- ## Snippet Schema Example ```json { id: 1760200058.123123, // Date.now() + random numbers name: "2025-10-13_14-23-45", // auto-populated created: "2025-10-13T14:23:45.123Z", modified: "2025-10-13T14:25:30.456Z", spec: { "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "data": {"values": [...]}, "mark": "bar", "encoding": { "x": {"field": "category", "type": "nominal"}, "y": {"field": "value", "type": "quantitative"} } }, draftSpec: { "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "data": {"values": [...]}, "mark": "bar", "encoding": { "x": {"field": "category", "type": "nominal"}, "y": {"field": "value", "type": "quantitative"}, "color": {"field": "category", "type": "nominal"} // draft addition } }, comment: "SELECT category, SUM(value) FROM sales GROUP BY category", tags: [], datasetRefs: [], meta: {} } ``` Dataset example: ```json { // Core identity id: 1760200058.123123, // Date.now() + random numbers name: "sales_2024_q1", // editable // Timestamps created: 1760200058, // timestamp modified: 1760304958 //timestamp, // Data (stored as-is, format-agnostic) data: [ {"category": "A", "value": 100}, {"category": "B", "value": 200} ], format: "json", // "json" | "csv" | "tsv" (for future import/export) // Computed on save rowCount: 2, columnCount: 2, size: 78, // bytes: JSON.stringify(data).length columns: ["category", "value"], // inferred from first row // Metadata comment: "", tags: [], // Extensibility meta: {} } ``` Settings example: ```json { // UI State panelWidths: [25, 25, 50], // % for [list, editor, preview] panelVisibility: [true, true, true], // App behavior (empty for MVP, but structure exists) autoSaveDelay: 1000, // Extensibility meta: {} } ```