The blood test data analysis project at first deals with the large volumes of missing values in the data using advanced imputation methods, and in the next step uses the machine learning methods to analyze the relationships and interactions of blood test factors with each other. The results suggest a direct link between increased vitamin D levels and increased creatinine in the blood.