Analyzing data using record map point clusters​

Clustered point maps automatically groups sets of points (latitude-longitude coordinates) that are close to each other on the map. Clusters are thus aggregations like categories or numeric ranges, and they can be measured and then visualized to show the results. Point clusters can visualize data using color and size, and you can change both point size and point color settings.


Selecting cluster measurement

Clusters can be measured using count or sum functions. You can also use (None) option for either color or size in any analysis setting.

Special Features

  • The tooltip of the clusters show the data within the cluster, including sum measurements as well as counts, similar to other aggregates such as categories or numeric, or time, ranges.

Constraints

  • You cannot use average measurement function when point clusters are shown.
  • Since the measurement function is applied to the whole dashboard, you cannot choose sum of different numeric attributes for size and color attributes, or choose sum for one and count for another.

Navigating map using clusters

Clicking on a cluster zooms into the cluster area. This provides a quick cluster-based navigation alternative to using + buttons, or double-clicking on the map area.

Special Features

  • The size and color of the clusters and points are based on the visible set of clusters and zoom level. While this may cause changes in visualization in different zoom levels or after panning, this approach presents a more optimum visualization in a current map view by normalizing the size and color to the data visible in the map.