Data Gap And Analysis Challenges In Datasets With Missing Scores: Optimization Strategies
There are no entities with scores between 8 and 10 in the dataset, creating a data gap. This may be due to sampling bias or distribution characteristics. The gap challenges analysis and decision-making, calling for additional data collection. Potential strategies include expanding the sample size, modifying sampling methods, or using imputation techniques. Recommendations for future …
Read moreData Gap And Analysis Challenges In Datasets With Missing Scores: Optimization Strategies
