A point map with clusters differs from a regular point map in clustering adjacent points. On the map, a cluster looks like a donut chart with the number of points displayed in the center.
Note
The number in the center only indicates the number of cluster points. You cannot select a different metric, e.g., the total of values across all points.
The behavior of points varies depending on the map scale:
When scaling down, points merge into clusters.
When scaling up, the distance between points increases and the cluster automatically splits into smaller clusters and/or individual points.
If the map has only one point in the selected scale, this point is not going to be clustered. In this case, instead of a donut chart, you will see a point just like in a regular point map.
Clustering on a map improves visualization when there is a large number of points. For example, if you want to show the location of all stores in a city on a map with clustering, points on the map will not overlap.
Measure. Sets point size depending on the measure value.
Colors
Dimension. Sets cluster chart segmentation.
Labels
Measure. Displayed as text on a point. When used, point size control is blocked.
Tooltips
Dimension or measure. A tooltip that appears when you hover over a point. For String type fields, you can configure using basic Markdown in DataLens On-premises syntax: click the icon before the field name and enable Markdown.
Layer filters
Dimension or measure. Used as a filter for the current layer.
Filters
Dimension or measure. Used as a filter for the entire chart.