Abstract— Meta-analysis is a probabilistic technique which groups results from several studies addressing the same topic and produces a result that summarizes the whole. Results generated are graphically displayed without providing interactivity with the user or reproducing a friendly, easy to comprehend interface. In order to obtain a visual exploratory analysis of the most satisfactory results there are Information Visualization techniques which can be applied to map data graphically aiming to broaden the user cognition. This paper presents an analysis of hierarchical information visualization techniques to determine which of them can best represent a data structure, develops meta-analysis and applies information visualization techniques, obtained from the analysis, to the meta-analysis results obtained through the Software R.
Keywords— Information Visualization Techniques, Bifocal Tree, Funnel Plot, Dynamic Visualization, Graphic Design, Hierarchy Visualization.
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