eda

name	eda
description	Exploratory data analysis for data scientists — delegates to ds-eda-analyst agent. Use when profiling datasets, visualizing distributions, checking correlations, or detecting missing data and outliers.

EDA Command

Profile and explore a dataset to understand structure, distributions, and relationships

Usage

/ds-eda <dataset-or-description>

Examples

/ds-eda data/customers.csv
/ds-eda "Explore churn dataset — check missing values, distributions, and class balance"
/ds-eda "Correlation analysis between features and loan default"
/ds-eda notebooks/raw_data_exploration.ipynb

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What This Command Does

1. Invokes the ds-eda-analyst agent
2. Reads the dataset or description to understand schema and target
3. Loads KB patterns from pandas and data-visualization domains
4. Generates:
   • Shape, dtypes, null counts, cardinality report
   • Distribution plots (histograms, box plots, KDE)
   • Correlation heatmap and pairplot
   • Missing data summary with imputation recommendations
   • Quick baseline model for feature validation

Agent Delegation

Agent	Role
ds-eda-analyst	Primary — profiling, distributions, correlations, outliers
ds-statistician	Escalation — when statistical significance tests are needed
ds-feature-engineer	Escalation — when missing data requires Pipeline imputation

KB Domains Used

• pandas — DataFrame profiling, groupby, reshaping
• data-visualization — EDA charts, heatmaps, distribution plots
• statistical-analysis — normality tests, outlier detection

Output

The agent generates a profiling report with visualizations, null-handling recommendations, and a baseline model summary.