This chord diagram shows relationships in terms of factors influencing sheep welfare.
The thickness of chords between welfare factors encodes the strength of the correlation between the two topics: thicker chords represent a stronger correlation.
Mouse over a welfare factor to focus on correlation with other related topics in the chord chart.
The subject of this chord chart is the welfare risks related to the farming of sheep for wool, meat and milk production.
The chord diagram is a relatively new and powerful visualization, especially when wanting to show and analyse connections. However, it does require some explanation for those who have never seen one before.
The chord diagram represents an underlying corpus of 13,193 CAB abstracts and depicts the correlation between key terms terms, identified by an expert panel, within this corpus.
The intention being to identify the animal-based measures that can be used to assess the welfare of sheep and the main welfare risks.
The circle is split up into 38 segments with the arc length of each segment scaled to the current topic's prevalence in the abstracts. The percentages along the outer rim of the chord Diagram give the topic frequency. This shows that, of the key terms selected by the experts, Litter and Weaning dominate the content with a 9% share each, Aggression is a surprising second with 8%, with Grazing and Foot Scald being amongst the lowest ranking topics.
The chords between the arcs visualize the topic correlation and can be bi-directional if one term has priority over the other. For example, move hover over Lameness and note the pink chord connecting Lameness and Foot Scald or hover over Disease to see the correlation with the specific conditions mentioned in the upper right hand segment.
In cases where the chord is directional, each chord takes the colour of the topic that has the greater measured value, whatever that may be, so for instance correlation, or market share, or cash payments, etc.
These examples, used to explain the chord diagram, are but a handful of the interesting facts that can be gained from it. I encourage you to study the chord diagram by yourself to find all insights in can provide and consider whether or not a chord diagram would be a good way to visualise your own text data.
Finally, this Sheep Welfare example is merely one example of how chord charts can be applied to the analysis of large collections of text documents. They can be used to transform boring tables into informative and visually compelling data graphics. Please feel free to contact the Text Mining Solutions for more information regarding chord charts and also how to incorporate these in your own applications.
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