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The examples below give you insight in the main features of our products. Features are presented in combination with actual data and actual use cases. 1 Group your data 2 Map your data 1 Group your data • Create groups of records based on the distribution of the number of categories for a specific attribute, or the value of an attribute. • Examples: bins with equal values for an attribute, statistical distribution, distribution in percentages. Case: Pupils in secondary education skip classes. When equal size bins are created, an undeniable 80/20 rule is uncovered: a small group of pupils is responsible for a larger part of total absence. The school focuses on these students to meet nation-wide defined performance indicators for absence. 
2 Map your data • Present data against a background familiar to the user. Case: Show density of visits in a supermarket over a period of two weeks. Backgrounds are part of levels in the treemap, and can be used in any part of the view. 
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