Missing data (MD) is a prevalent issue that researchers and data scientists frequently encounter. It can significantly impact the quality of analyzed data. affecting the relevance of the interpreted results and the inferred conclusions. In response to this challenge. https://macorners.shop/product-category/acrylic-flower-vase/