additional_features
["Chart-type guidance by analytical intent (comparison/trend/composition/distribution/relationship)", "Follows a standard cross-table template (merge/sort/style/metadata)", "Applies a consistent color palette rule set for visualization coherence"]
example_commands
["Create 2020–2025 synthetic data for Happiness and Life Satisfaction across Seoul/Busan/Daegu, cross-tabbed by age group × gender, as JSON.", "Build a grouped-bar-ready table comparing remote-work productivity by role × work mode, including unit/source/time metadata.", "Output only table_state and data so I can visualize it directly in ChartGPT."]
gpt_id
g-68734c99ac908191a0886bc3f8239c2d
ideal_use_cases
["Create synthetic social-indicator datasets with conditioning variables (region/age/gender, etc.)", "Rapidly design analysis-ready cross-tabs and export them as JSON", "Prototype dashboards when real data is missing or incomplete", "Prepare data aligned to chart intents (comparison/trend/composition/distribution/relationship)"]
limitations
["Generated outputs are simulated and may differ from official statistics; validate against primary sources for decisions.", "For sensitive domains (medical/legal/financial), cross-check with up-to-date and authoritative references."]
target_users
["Data visualization and research practitioners", "Policy / social-indicator analysts and planners", "Dashboard and reporting builders", "Instructors and students needing practice datasets"]