Graphical representation of medical statistics data. Diagrams, cartograms, map diagrams. Types of diagrams. Requirements for constructing diagrams.

The graphical representation of medical statistics forms a critical element of healthcare data analysis, through which practitioners, researchers, and policymakers can accurately read complex information. This paper explores the necessity of visualizing medical data through various forms of diagrams, e.g., bar graphs, line graphs, pie charts, scatter plots, and cartograms. It emphasizes elementary necessities for creating good diagrams through clarity, precision, relevance, and beauty. In addition, the article highlights instruments and software supporting the creation of good visualizations and reporting case studies of good implementation in public health. Ultimately, this study demonstrates the potency of visual communication in expanding understanding of medical statistics, facilitating an informed decision-making process, and improving healthcare provision

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-06
DOI
https://doi.org/10.5281/zenodo.15162649
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Graphical representation of medical statistics data. Diagrams, cartograms, map diagrams. Types of diagrams. Requirements for constructing diagrams.

Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Graphical representation of medical statistics data. Diagrams, cartograms, map diagrams. Types of diagrams. Requirements for constructing diagrams.

article en

Abstract

The graphical representation of medical statistics forms a critical element of healthcare data analysis, through which practitioners, researchers, and policymakers can accurately read complex information. This paper explores the necessity of visualizing medical data through various forms of diagrams, e.g., bar graphs, line graphs, pie charts, scatter plots, and cartograms. It emphasizes elementary necessities for creating good diagrams through clarity, precision, relevance, and beauty. In addition, the article highlights instruments and software supporting the creation of good visualizations and reporting case studies of good implementation in public health. Ultimately, this study demonstrates the potency of visual communication in expanding understanding of medical statistics, facilitating an informed decision-making process, and improving healthcare provision

Zenodo (CERN European Organization for Nuclear Research)
Osh State University (KG)
Peace, Justice and strong institutions
Openalex Percentile: Top 51%
Data Visualization and Analytics
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