Example notebooks

These examples are also available on GitHub. You can run them locally after cloning DoWhy and installing Jupyter. Or you can run them directly in a web browser using the Binder environment.

Introductory examples

Basic Example for Calculating the Causal Effect
../_images/effect-estimation-estimand-expression.png
Level: Beginner
Task: Effect estimation
Conditional Average Treatment Effects (CATE) with DoWhy and EconML
Level: Beginner
Task: Conditional effect estimation
Basic Example for Graphical Causal Model-Based Intervention
../_images/graph-xyz.png
Level: Beginner
Task: Intervention via GCM

Real world-inspired examples

Exploring Causes of Hotel Booking Cancellations
../_images/hotel-bookings.png
Level: Beginner
Task: Effect estimation
Estimating the Effect of a Member Rewards Program
../_images/membership-program-graph.png
Level: Beginner
Task: Effect estimation
Finding the Root Cause of Elevated Latencies in a Microservice Architecture
../_images/microservice-architecture.png
Level: Beginner
Task: Root cause analysis, intervention via GCM
Impact of 401(k) eligibility on net financial assets
Level: Advanced
Task: Intervention via GCM
Finding Root Causes of Changes in a Supply Chain
../_images/supply-chain1.png
Level: Advanced
Task: Root cause analysis via GCM
Counterfactual Analysis in a Medical Case
Level: Advanced
Task: Counterfactuals via GCM

Examples on benchmarks datasets

DoWhy example on ihdp (Infant Health and Development Program) dataset
Level: Advanced
Task: Effect inference
DoWhy example on the Lalonde dataset
Level: Advanced
Task: Effect inference
Applying refutation tests to the Lalonde and IHDP datasets
Level: Advanced
Task: Effect inference
Impact of 401(k) eligibility on net financial assets
Level: Advanced
Task: GCM inference
Lalonde Pandas API Example
Level: Advanced
Task: Do Sampler

Miscellaneous

Basic Example for generating samples from a GCM
Level: Beginner
Task: GCM inference
Different ways to load an input graph
Level: Beginner
Task: Effect inference
Basic Example for generating samples from a GCM
Level: Beginner
Task: GCM inference
Simple example on using Instrumental Variables method for estimation
Level: Beginner
Task: Effect inference
Testing Assumptions in model with DoWhy: A simple example
Level: Beginner
Task: Effect inference
A Simple Example on Creating a Custom Refutation Using User-Defined Outcome Functions
Level: Beginner
Task: Effect inference
Estimating effect of multiple treatments
Level: Advanced
Task: Effect inference