Statistics simulation lab

Imputation Techniques Visual Tool

Generate a complete dataset, hide selected values, and compare how common imputation methods fill the gaps. Observed data, missing records, and imputed values are drawn together so the statistical trade-offs are visible.

Mean imputation

Observed Missing record Imputed Hidden truth

Observed rows-

Missing rows-

Best RMSE-

Selected method-

Method	RMSE	MAE	Bias	R-squared	Imputed mean	Real mean	Teaching point

For learning purposes the tool keeps the original complete values behind the scenes. That allows RMSE, MAE, bias, and R-squared to compare each imputation method against the hidden truth.