1 रिपॉजिटरी
Validation of whether data aggregation levels are too coarse or too granular with strategies for re-aggregation.
Distinct from Data Aggregators: Candidates focus on real-time streaming or codebase aggregation; this is about validating the granularity of aggregated datasets.
Explore 1 awesome GitHub repository matching data & databases · Aggregation Granularity Validation. Refine with filters or upvote what's useful.
This project is a collection of reference materials and guidelines for implementing data audit frameworks. It serves as a data quality reference guide and a dataset validation manual for identifying common structural and statistical errors in datasets. The project provides a structured knowledge base for data cleaning, featuring a catalog of real-world data errors and practical strategies for their detection and resolution. It includes specific frameworks for evaluating data provenance and the reliability of aggregated information. The material covers a broad range of data analysis capabilit
Checks if data is too coarse or too granular and provides strategies for re-aggregation.