dowhy

What problem does it solve?

This Skill helps you move beyond simple correlations to understand true causal relationships, answering "does X cause Y?" rather than just "how are X and Y related?".

Core Features & Use Cases

• Causal Inference: Identify, estimate, and refute causal effects from observational data.
• Confounder Adjustment: Control for hidden variables that distort relationships.
• Use Case: Determine if a marketing campaign caused an increase in sales, or if it was just correlated with other factors that drove sales up.

Quick Start

Use the dowhy skill to estimate the causal effect of 'treatment' on 'outcome' using 'backdoor.linear_regression' after defining the causal graph.