VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data
Document Type
Conference Article
Publication Title
ACM International Conference Proceeding Series
Abstract
Visualization of data is considered to be an important area of Data Science. Data visualization symbolizes the efforts that help people in understanding the significance of data in a better way through representing it in a visual context. The patterns, trends, and correlations that might go undetected in raw data can be exposed and recognized effectively with data visualization methods. Here our aim is to recognize the limitations of the existing visualization approaches and to present a novel data visualization method.
First Page
324
Last Page
325
DOI
10.1145/3493700.3493763
Publication Date
1-8-2022
Recommended Citation
Gupta, Ankit; Khodwal, Aashu; and Pal, Nidhi, "VacoPie: Visualizing Variance and Covariance Information onto Categorical Distribution of Data" (2022). Conference Articles. 393.
https://digitalcommons.isical.ac.in/conf-articles/393