This report evaluates accreditation scoring data across 5,211 records and uncovers a critical data quality issue—only 0.12% of records contain valid scores. The analysis covers score distribution, variability, outlier detection, and accreditation body performance. With NAAC as the only body contributing usable scoring data, the findings highlight severe limitations in benchmarking, cross-body comparison, and predictive analysis. https://www.kaggle.com/datasets/rajanand/aishe
View this data story on Datastam