Advanced visualization approaches for statistical data analysis

Md Wahiduzzaman  Suva; Md. Imtiaj  Alam Sajin; Esm E Moula  Chowdhury Abha; Mushfiqur Rahman  Abir; Asif Zaman

doi:10.22105/metaverse.v1i1.36

Authors

Md Wahiduzzaman Suva Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Md. Imtiaj Alam Sajin Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Esm E Moula Chowdhury Abha Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Mushfiqur Rahman Abir Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.
Asif Zaman * Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh.

https://doi.org/10.22105/metaverse.v1i1.36

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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. Many researchers hesitate to use it because of its perceived coding complexity and dependence on proprietary software. This study demonstrates R's powerful data visualization features and uses 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.

Keywords

Data visualisation R language Ggplot2 Smplot Visreg

References (16)

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Advanced visualization approaches for statistical data analysis

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