## ποΈ Numerical

The Numerical strategy visualizes (x, y) coordinates.

## ποΈ Numerical with Frequency

The Numerical with Frequency strategy allows visualizing triplets as coordinates (x, y) with an associated numeric frequency.

## ποΈ Categorical

Aggregation is a powerful technique for summarising large amounts of data: elements that share a feature are grouped together, partitioning datasets into categories. The Categorical SMS exploits this technique in the realm of models to visualise categories and their incidence.

## ποΈ Metric distribution

The Metric distribution strategy employs a Boxplot to show graphically percentiles of a metric.

## ποΈ Free metric

The Free metric strategy displays any relevant metric as plain text. The value is not bound to any object, and is typically calculated using the expression language.

## ποΈ Bounded metric

The Bounded metric strategy displays a numeric value within a range. The strategy is not bound to any object. Instead, it is populated by the value, minValue, and maxValue properties (which can be fixed or derived).

## ποΈ Literal Metric

The Literal metric strategy depicts textual fields. In particular, it relies on a Word cloud visualization to highlight the most prominent terms.

## ποΈ Time-Based

The Time-based strategy employs a Gantt chart to show graphically a series of tasks with their start and end dates. Tasks are sorted by their start date.

## ποΈ Connectivity

The Connectivity strategy displays a relation over two types of objects. It closely follows the idea of a graph.

## ποΈ Weighted Hierarchy

Containment plays a central role in enabling abstraction in software engineering. It describes the relationship between two objects where one object is a part of β or belongs to β the other. It creates hierarchical structures where the parent objects (the containers) contain child objects (the containees). Conceptually, the lifespan of the containees is contingent on that of the container: when the container is deleted, so are the containees. The Weighted Hierarchy SMS exploits the support of composition (a restrictive form of association) in many DSLs to visualise recursive containment relationships, where each element can be attributed an importance or weight.