Data processing, visualization, and analytical insights
3 prompts
Transform raw dataset descriptions into actionable analysis with statistical insights, visualization recommendations, and a narrative summary.
Generate production-ready Python code for data cleaning, transformation, and analysis pipelines using pandas with proper error handling.
Diagnose why users are churning with data-driven hypotheses, structured experiments to validate each one, and prioritized recommendations.