Клиническая и экспериментальная кардиология
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Factorial Analysis and visualization of covid-19 clinical data utilizing of R

Venu Paritala*, Harsha Thummala

Information visualization and examination plays a key wedge in high-throughput science. It is a fundamental apparatus for data exploration permitting to shed light on information structure and designs of intrigued. Visualization is also vital significance as a shape of communicating information to a wide gathering of people. Data investigations find important experiences that drive more intelligent and more viable commerce choices. Here, provided factorial analysis, statistical analysis and visualization of Covid 19 data. Factor analysisis a technique that isusedto reduce a large number of variables into fewer numbers of factors. This technique extracts maximum common variance from all variables and puts them into a common score. As an index of all variables, we can use this score for further analysis. The analysis also proves results out the mean, median and quality of each variable. We exhibit a rundown of R’s plotting frameworks they are utilized to imagine and understand crude like corona cases in world.