Evaluate diversity in data sets to improve fairness
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Measuring-diversity is a tool designed to evaluate diversity in data sets with the goal of improving fairness and reducing bias. It provides insights into how well-represented different groups are within a dataset, helping users identify disparities and take corrective actions.
• Comprehensive analysis: Assess diversity across multiple dimensions such as gender, race, age, and more.
• Bias detection: Identify underrepresented or overrepresented groups in your data.
• Visualization tools: Generate charts and graphs to clearly illustrate diversity metrics.
• Customizable thresholds: Set benchmarks for fairness and receive alerts when thresholds are not met.
• Integration: Easily incorporate into existing data workflows and pipelines.
pip install measuring-diversity).What types of data can measuring-diversity analyze?
Measuring-diversity can analyze any structured dataset, including CSV files, databases, and DataFrames. It is particularly effective for datasets with demographic information.
How does measuring-diversity detect bias?
The tool compares the representation of different groups in your dataset to predefined fairness thresholds. If a group falls below the threshold, it is flagged as underrepresented.
Can I customize the fairness thresholds?
Yes, measuring-diversity allows users to set custom thresholds based on their specific needs or industry standards. This ensures tailored fairness evaluations.