Advanced Visualization Approaches for Statistical Data Analysis

Abstract

In the era of Big Data, effective data visualization plays a crucial role in presenting and understanding complex datasets. This work investigates sophisticated visualization methods that help researchers spot patterns, comprehend complex relationships within data, and effectively convey findings. R offers several benefits for statistical research and data processing. Because of its perceived coding complexity and dependence on proprietary software, many researchers are hesitant to use it. This study demonstrates the powerful data visualization features of R and using a dataset named HCV data from the UCI Machine Learning Repository that includes a range of laboratory and demographic characteristics. This study aims to address the challenges associated with data visualization.