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Quilt plots: a simple tool for the visualisation of large epidemiological data
Handan Wand1, Jenny Iversen1, Matthew Law1
1The Kirby Institute, University of New South Wales, Sydney, Australia.
Plos One
|January 24, 2014
Summary
Quilt plots offer a simple way to visualize complex medical and epidemiological data, improving interpretation. This data visualization tool aids in quickly identifying data issues missed by traditional methods.
Area of Science:
- Medical Informatics
- Epidemiology
- Data Visualization
Background:
- Graphical data representation enhances comprehension.
- Existing tools can be adapted for better understanding of medical and epidemiological data.
Purpose of the Study:
- To describe a simple visualization tool, the "quilt plot", for improved data interpretation.
- To present an alternative to traditional frequency tables for large datasets.
Main Methods:
- Utilizing an existing data visualization technique known as "quilt plots" (heat maps).
- Applying "quilt plots" to data from the Australian Needle and Syringe Program survey for illustration.
Main Results:
- "Quilt plots" effectively visualize large volumes of medical and epidemiological data.
- This method enhances the interpretation of complex datasets.
Conclusions:
- "Quilt plots" improve the understanding of medical and epidemiological data.
- This intuitive visualization aids in the rapid assessment of data anomalies.
- Recommends "quilt plots" as a valuable explanatory data analysis tool alongside quantitative methods.
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