Structured Data Readiness
Choose a CSV file:
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Data Quality Metrics
Check completeness
Check outliers
Check duplicity
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Fairness Metrics
Check representation rate
Sensitive feature:
Select a feature
Check statistical rate
Feature:
Select a feature
Target:
Select a feature
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Correlation Analysis
Perform Correlation Analysis
Features:
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Feature Relevance
Check feature relavancy against target
Categorical features:
Numerical features:
Target feature:
Select a feature
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Class Imbalance
Evaluate imbalance degree
Target:
Select a feature
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Privacy Preservation
Differential privacy by adding laplacian noise:
Numerical features to add noise:
Privacy budget (epsilon):
Evaluate single attribute risks:
ID feature:
Select a feature
Privacy budget (epsilon):
Quasi identifiers:
Evaluate multiple attribute risks:
ID feature
Select a feature
Quasi identifiers:
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FAIRness Evaluation
Check FAIRness scores
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Show Results
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