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.
.. grid:: 2
.. grid-item-card:: :doc:`dowhy_simple_example`
.. image:: ../_static/effect-estimation-estimand-expression.png
:align: center
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| **Level:** Beginner
| **Task:** Effect estimation
.. grid-item-card:: :doc:`gcm_basic_example`
.. image:: ../_static/graph-xyz.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Intervention via GCM
.. grid:: 2
.. grid-item-card:: :doc:`gcm_draw_samples`
.. image:: ../_static/draw-samples.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Sample generation
.. grid-item-card:: :doc:`dowhy_confounder_example`
.. image:: ../_static/confounder-example.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Effect estimation
.. grid:: 2
.. grid-item-card:: :doc:`dowhy-conditional-treatment-effects`
.. image:: ../_static/conditional-treatment-effect.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Conditional effect estimation
.. grid-item-card:: :doc:`tutorial-causalinference-machinelearning-using-dowhy-econml`
.. image:: ../_static/dowhy-econml-tutorial.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** All
.. grid:: 2
.. grid-item-card:: :doc:`do_sampler_demo`
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| **Level:** Beginner
| **Task:** Interventions
.. grid:: 2
.. grid-item-card:: :doc:`DoWhy-The Causal Story Behind Hotel Booking Cancellations`
.. image:: ../_static/hotel-bookings.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Effect estimation
.. grid-item-card:: :doc:`dowhy_example_effect_of_memberrewards_program`
.. image:: ../_static/membership-program-graph.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Effect estimation
.. grid:: 2
.. grid-item-card:: :doc:`gcm_online_shop`
.. image:: ../_static/online-shop.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Quantify causal effects and root cause analysis via GCM
.. grid-item-card:: :doc:`gcm_rca_microservice_architecture`
.. image:: ../_static/microservice-architecture.png
:height: 120px
:align: center
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| **Level:** Beginner
| **Task:** Root cause analysis, intervention, counterfactual via GCM
.. grid:: 2
.. grid-item-card:: :doc:`gcm_401k_analysis`
.. image:: ../_static/401k-example.png
:height: 120px
:align: center
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| **Level:** Advanced
| **Task:** Intervention via GCM
.. grid-item-card:: :doc:`gcm_supply_chain_dist_change`
.. image:: ../_static/supply-chain.png
:height: 120px
:align: center
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| **Level:** Advanced
| **Task:** Root cause analysis via GCM
.. grid:: 2
.. grid-item-card:: :doc:`gcm_cps2015_dist_change_robust`
.. image:: ../_static/cps2015-shapley-values.png
:width: 200px
:align: center
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| **Level:** Advanced
| **Task:** Causal Change Attribution via GCM
.. grid-item-card:: :doc:`gcm_icc`
.. image:: ../_static/icc-example.jpg
:width: 200px
:align: center
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| **Level:** Advanced
| **Task:** Intrinsic causal influence via GCM
.. grid:: 2
.. grid-item-card:: :doc:`gcm_counterfactual_medical_dry_eyes`
.. image:: ../_static/gcm-counterfactual-example.png
:width: 200px
:align: center
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| **Level:** Advanced
| **Task:** Counterfactuals via GCM
.. grid-item-card:: :doc:`gcm_falsify_dag`
.. image:: ../_static/gcm-falsify-example.png
:height: 120px
:align: center
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| **Level:** Advanced
| **Task:** Falsifying Causal Graph
.. grid:: 2
.. grid-item-card:: :doc:`counterfactual_fairness_dowhy`
.. image:: ../_static/counterfactual_fairness_dowhy.png
:height: 120px
:align: center
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| **Level:** Advanced
| **Task:** Fairness estimation via GCM
.. grid-item-card:: :doc:`sales_attribution_intervention`
.. image:: ../_static/sales_attribution.png
:height: 120px
:align: center
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| **Level:** Advanced
| **Task:** Causal Inference
.. grid:: 3
.. grid-item-card:: :doc:`dowhy_ihdp_data_example`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_lalonde_example`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_refutation_testing`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`gcm_401k_analysis`
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| **Level:** Advanced
| **Task:** GCM inference
.. grid-item-card:: :doc:`prediction/dowhy_causal_prediction_demo`
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| **Level:** Advanced
| **Task:** Prediction
.. grid-item-card:: :doc:`lalonde_pandas_api`
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| **Level:** Advanced
| **Task:** Do Sampler
.. grid:: 3
.. grid-item-card:: :doc:`counterfactual_fairness_dowhy`
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| **Level:** Advanced
| **Task:** Fairness estimation
.. grid-item-card:: :doc:`dowhy_twins_example`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`load_graph_example`
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| **Level:** Beginner
| **Task:** All
.. grid-item-card:: :doc:`dowhy_causal_discovery_example`
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| **Level:** Beginner
| **Task:** All
.. grid-item-card:: :doc:`gcm_falsify_dag`
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| **Level:** Advanced
| **Task:** All
.. grid:: 3
.. grid-item-card:: :doc:`sensitivity_analysis_testing`
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| **Level:** Beginner
| **Task:** Effect inference
.. grid-item-card:: :doc:`sensitivity_analysis_nonparametric_estimators`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_refuter_notebook`
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| **Level:** Beginner
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`dowhy_refuter_assess_overlap`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_demo_dummy_outcome_refuter`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_ranking_methods`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`dowhy_estimation_methods`
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| **Level:** Beginner
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy-simple-iv-example`
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| **Level:** Beginner
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_interpreter`
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| **Level:** Beginner
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`dowhy_mediation_analysis`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_multiple_treatments`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_efficient_backdoor_example`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid:: 3
.. grid-item-card:: :doc:`identifying_effects_using_id_algorithm`
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| **Level:** Advanced
| **Task:** Effect inference
.. grid-item-card:: :doc:`dowhy_optimize_backdoor_example`
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| **Level:** Advanced
| **Task:** Effect inference
.. toctree:: :maxdepth: 1 :caption: Introductory examples :hidden: dowhy_simple_example gcm_basic_example gcm_draw_samples dowhy_confounder_example dowhy-conditional-treatment-effects tutorial-causalinference-machinelearning-using-dowhy-econml dowhy_mediation_analysis dowhy_refuter_notebook do_sampler_demo
.. toctree:: :maxdepth: 1 :caption: Real world-inspired examples :hidden: DoWhy-The Causal Story Behind Hotel Booking Cancellations dowhy_example_effect_of_memberrewards_program gcm_online_shop gcm_rca_microservice_architecture gcm_401k_analysis gcm_supply_chain_dist_change gcm_icc gcm_counterfactual_medical_dry_eyes gcm_falsify_dag counterfactual_fairness_dowhy sales_attribution_intervention
.. toctree:: :maxdepth: 1 :caption: Examples on benchmarks datasets :hidden: dowhy_ihdp_data_example dowhy_lalonde_example dowhy_refutation_testing gcm_401k_analysis prediction/dowhy_causal_prediction_demo lalonde_pandas_api counterfactual_fairness_dowhy dowhy_twins_example
.. toctree:: :maxdepth: 1 :caption: Modeling and refuting causal assumptions :hidden: load_graph_example dowhy_causal_discovery_example gcm_falsify_dag sensitivity_analysis_testing sensitivity_analysis_nonparametric_estimators dowhy_refuter_notebook dowhy_refuter_assess_overlap dowhy_ranking_methods dowhy_demo_dummy_outcome_refuter
.. toctree:: :maxdepth: 1 :caption: Miscellaneous :hidden: dowhy_estimation_methods dowhy-simple-iv-example dowhy_interpreter dowhy_mediation_analysis dowhy_multiple_treatments dowhy_efficient_backdoor_example identifying_effects_using_id_algorithm dowhy_optimize_backdoor_example dowhy_functional_api dowhy_causal_api