Shape changes the shape of each point to represent that point’s value or category for the assigned feature.
Shape accepts all feature types, but is best used with categorical features that have six or fewer unique values. Categorical features with more than six values will have the values with the lowest number of members combined into an “Other” category. Numerical features will be divided into six bins, although Shape does not have as many bin customization options as the Color dimension.
Using Different Sets of Shapes
Shape Options: This dropdown button, included in the toolbar under Optimization, allows users to choose between 3 options for the display of data points:
- 2D shapes – flat representations of the same 3D shapes
- 2D shapes are useful on certain plot types, such as 2D maps, to make data points stand out more
- They also have less of a performance cost, and can be used to reduce machine load when visualizing large datasets
- They always face toward the user regardless of plot orientation
- 3D shapes – default for the highest quality visualizations
- Points – one-dimensional objects for each data point
- When using points, the user no longer has the ability to map features to Size or Shape
- Points have the least performance cost, and can be used to reduce machine load when visualizing very large datasets (millions of data points)
- They can help show Color trends more clearly when there are many data points very close to each other on the plot