Research Topic · Peer-Reviewed

Data Visualization

Data visualization is the representation of data in graphical form, such as charts, graphs, maps, and dashboards, to make information easier to understand and interpret. By translating numbers and relationships into visual elements, it helps reveal patterns, trends, outliers, and correlations that may be difficult t…

Curated from this journal's research 📚 3 peer-reviewed articles cited Cited 15× across the literature 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Data visualization is the representation of data in graphical form, such as charts, graphs, maps, and dashboards, to make information easier to understand and interpret. By translating numbers and relationships into visual elements, it helps reveal patterns, trends, outliers, and correlations that may be difficult to detect in raw tables. Data visualization is a core component of data analysis and decision-making across science, business, and public health, supporting both exploratory work and the clear communication of findings to others. As part of big data research, data visualization is closely tied to the tools and design principles that make large and complex datasets usable. Research in this subject area has examined dashboard design principles for self-service business intelligence, addressing how visual interfaces can be structured for clarity and effective use, as well as issues of data quality that affect how reliably visualized information can support decisions. This page gathers peer-reviewed, open-access research relevant to data visualization and the design, analysis, and quality considerations involved in presenting data effectively.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 3 articles above have been cited 15 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Data Visualization, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.