An anonymous High Triglyceride and LDL values Dataset

This study presents a comprehensive dataset to analyze risk factors associated with cardiovascular disease. The dataset comprises various patient attributes, including gender, age, total cholesterol, HDL (high-density lipoprotein), triglycerides, non-HDL (non-high-density lipoprotein), NIH-Equ-2, and direct LDL (low-density lipoprotein). These attributes comprise 25,991 patient data, robustly representing a large population sample. The primary focus of this investigation lies in examining the impact of elevated triglyceride levels on the risk of cardiovascular disease, a significant public health concern. Furthermore, the study evaluates how these elevated triglyceride levels can predict LDL (low-density lipoprotein) values, a critical biomarker in assessing cardiovascular health. Through meticulous analysis, the findings shed light on the intricate relationship between triglyceride levels and cardiovascular risk, offering valuable insights for preventive strategies and targeted interventions in clinical settings.