Data Lab¶
Data Lab is an integrated environment for analyzing data directly inside the ERD canvas. Execute SQL and view results instantly — right in the browser, without installing or connecting to any external database.
How It Works¶
Data Lab operates based on the entity structure of the currently open diagram.
- Entity/column structures from the diagram are auto-created as virtual tables
- Realistic virtual data is auto-generated by analyzing column name patterns
- Instantly queryable via SQL or SPARQL
graph LR
E["📊 ERD Entities"] -->|"Structure extraction"| D["🗄️ Virtual Database"]
F["🎲 Auto-generation"] -->|"Virtual data"| D
D -->|"SQL query"| R["📋 Results Grid"]
style E fill:#e0f2fe,stroke:#0284c7
style D fill:#fef3c7,stroke:#d97706
style R fill:#f0fdf4,stroke:#16a34a When switching diagrams
When you switch diagrams, previous tables are automatically cleared and recreated with the new structure. No confusion from residual data.
Auto-Generated Virtual Data¶
Virtual data is intelligently generated to match the context by analyzing column name patterns. Rather than simple random values, it produces realistic data for validating analysis scenarios.
| Column Name Pattern | Generation Rule | Example |
|---|---|---|
email | Realistic email address | kim.jihye@company.co.kr |
phone | Phone number format | 010-1234-5678 |
name | Person names | John Smith, Jane Doe |
address | Realistic address format | 123 Main St, Suite 100 |
| PK column | UUID or unique serial number | 550e8400-e29b-41d4... |
| Others | Random values matching data type | — |
Feature Guides¶
-
SQL Scratchpad
Execute SELECT, JOIN, aggregation, and various queries against virtual tables using the SQL editor. Supports Smart Drop — drag and drop entities to auto-generate queries.
-
SPARQL & Ontology
Convert ERD structures to ontology (RDFS/OWL) in real time and perform semantic analysis with SPARQL. Explore entity relationships from a graph perspective.