Cluster

The Cluster visualization method is useful for analyzing large numbers of points on the map. In this case, it is more convenient to work with clusters (groups of points). The size of a cluster depends on the number of points it contains.

When you zoom in the map, large clusters first split into smaller clusters, and then into separate points. When you zoom out the map, clusters are grouped into larger ones.

Overview

To select a visualization method:

1. Go to the Dashboards tab.
2. Open the required dashboard.
3. Open a scene using the arrows and . If there is only one scene in the dashboard, it opens automatically when you open the dashboard.
4. To open the layer, click icon and select the required layer.
5. In the General settings block, select the Cluster visualization method.
6. Set the remaining visualization parameters if necessary.

The data is visualized on the map.

Parameters

Tooltip setup

Parameter	Description
Tooltip setup	Enable the option to customize the list of attributes that are displayed in the tooltip when hovering over the cluster on the map. Select the required attributes, change their order, and select an attribute aggregation type if necessary: for more details, see the Configuring a tooltip section. If the option is disabled, the tooltip shows all attributes from the dataset.

Radius

Parameter	Description
Cluster size	Size of the cluster in pixels from 1 to 250. A point is included in the cluster if it is located at the specified distance from its center.
Radius range	Radius of the cluster in pixels from 1 to 100.

Color

Parameter	Description
Color basis	Numeric attribute that determines the fill color of the clusters on the map and in the legend according to the color palette. Available values depend on the data in the sample.
Color palette	Set of prepared color samples.
Invert	Enable the option to invert the color palette.
Steps	Number of colors in the palette from 1 to 10.
Legend	Configuring data ranges in the legend. Ranges are calculated automatically based on the Type of scale (for Logarithmic, Linear, and Exponential types). You can also customize ranges manually by entering the required range limits or changing the order and number of ranges (Adjustable type). In all ranges except the last one, the specified upper (right) limit is not included in the range. The maximum number of ranges is 10. To change the order of ranges, hold down icon next to the required range and drag it. To add a range, click icon. To delete a range, click icon.
Color aggregation type	Function used to aggregate the attribute values located in the cluster: Sum - the sum of the values. Mean - the mean value. Median - the median value that is equal to or greater than 50% of the values in the group. Min - the minimum value. Max - the maximum value.
Type of scale	Distribution type used to calculate data ranges in the legend: Logarithmic - logarithmic distribution. Suitable for displaying data that changes over a wide range or differs by several orders of magnitude. Linear - uniform distribution. Suitable for displaying values of the same order. Exponential - exponential distribution. Suitable if you need to highlight small values and ignore large ones, and for displaying data that changes quickly. Adjustable - manual configuring of ranges. In all ranges except the last one, the specified upper (right) limit is not included in the range.
Opacity	Fill opacity in percent.

Outline

Parameter	Description
Outline	Enable the option to display the cluster outline.
Outline color	Outline color. Select a color from the palette or specify it in the HEX format.
Stroke width	Stroke width in pixels from 1 to 25.

What's next?

• Quick start.
• Get to know how to work with Data.
• Get to know more about Layers, Dashboards, Scenes, and Widgets.
• Get to know more about other Data visualization methods.
• Get to know Analytics scenarios.