Instruction-tuning dataset covering data visualization with African data: chart interpretation and creation using demographics, health statistics, economic indicators, agricultural production, tech adoption, and infrastructure metrics for African countries. Includes both conceptual tasks and Python code (matplotlib, seaborn, plotly) — grounded via web search, generated with gemini-2.5-flash.
