Advanced visualization approaches for statistical data analysis

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://orcid.org/0009-0000-6412-4051

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

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

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Published

2024-12-16

Issue

Vol. 1 No. 1 (2024): Metaversalize

Section

Articles

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How to Cite

Suva, M. W. ., Alam Sajin, M. I. ., Chowdhury Abha, E. E. M. ., Abir, M. R. ., & Zaman, A. (2024). Advanced visualization approaches for statistical data analysis. Metaversalize, 1(1), 55-69. https://doi.org/10.22105/metaverse.v1i1.36
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