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Examples for Dataset Explorer
Explore real-world examples showing how this skill works with different inputs and outputs.
Customer Revenue Analysis with Segmentation
Analyzing a small customer dataset (10 rows) to understand revenue patterns and data quality. Demonstrates detection of strong age-revenue correlation (r=0.76), identification of missing emails (30%), and Enterprise vs SMB segmentation insights showing 10x revenue difference between segments.
Sales Pipeline Forecast Readiness Assessment
Quality assessment of an 8-deal sales pipeline before building forecast model. Identifies critical blocker (25% missing expected_close_date values preventing time-based forecasting), strong deal value-pipeline age correlation (r=0.88), and $2.5M outlier deal requiring validation. Provides stage-weighted analysis and forecast-specific recommendations.
Transaction Dataset Pattern and Quality Analysis
Comprehensive profiling of 100-row transaction dataset revealing regional performance differences, category distribution, and customer demographics. Discovers North region paradox (lowest volume but highest average transaction value at $3,151), identifies 4 missing customer ages (4%), and provides symmetric transaction value distribution indicating healthy business mix.