Analysis of Cardiovascular Diseases Data using Tableau Visualization Tool

Cardiovascular Disease (CVD) includes a wide range of conditions that affect the heart and the blood vessel which is the most common and prevalent disease in India, as well as globally. According to WHO, CVD mortalities were estimated to be 17.9 million, which would increase to 24.2 million by 2030. CVDs are diagnosed using transthoracic Echocardiography techniques which can help doctors to diagnose heart and blood vessel diseases & conditions in adults and children. The timely diagnosis of CVDs patients is the most challenging and complicated task for the medical fraternity. This study illustrates the effectiveness of visualization in exposing and conveying the essential facts in a large CVD dataset using Tableau. Data visualization is among the utmost important components of working with various data analytics solutions, which may be useful in supporting diverse tasks in cardiovascular disease, like tracking the geographic distribution of diseases, analyzing disease prevalence, reviewing medical records, predicting outbreaks, and identifying populations at risk. The objective of this study is to describe the demographic patterns of the CVD database using Tableau. It was applied to 12721 records with a sex-wise distribution of echocardiography records found that 7511 (59%) of the reports were for male patients and 5210 (41%) of the reports were for female patients at Cardiology Department, JSS Hospital in the year 2016. This work has provided a first evaluation of the most spread solutions existing in the CVD data visualization landscape. Based on the result we can analyze and visualize; men seem to be more susceptible to cardiovascular diseases than women. Above 39 years of age are more prone to the development of cardiovascular diseases and more records are reported in the age group 60-80. The study on the CVD data analysis using Tableau can help in speeding up the process of comprehending large and complex data.