Points map with clusters

    A point map with clusters, unlike a regular points map, clusters adjacent points. On the map, a cluster displays as a mini-donut chart with the number of points displayed in the center.

    The behavior of points varies depending on the map scale:

    • When scaling down, points cluster together automatically.

    • When scaling up, the distance between points increases and a cluster is automatically split into smaller clusters, and/or individual points.

    If a map with the selected scale contains a single point, it's not clustered. In this case, instead of a donut chart, you'll see a point just like in a regular scatter chart.

    Clustering on a map improves visualization when there are a lot of points.


    For example, if you want to show the location of all the hotels in a city, and arrange them by accommodation type.

    1. Open the All workbooks overview page and select your workbook.

    2. Open the dashboard to which you want to add a chart.

    3. In the upper-right corner, click Edit.

    4. Click AddChart (Wizard). You'll see the chart creation wizard.

    5. On the top left, select the Dataset you want to visualize.

    6. To add more layers, click + on the right of the layer selection field in the Layers slot.

      You can drag and drop the layers in the drop-down menu to rearrange them - the higher layer will overlay the lower one.

      Repeat the following steps to populate the slots independently for each layer:

    7. Click the chart type field on the right of the dataset section and select Map from the drop-down menu, then choose Points with clusters (Geopoints) in the map type drop-down menu.

    8. Drag and drop a measure to the appropriate sections of the chart (see the Data fields tab).

    9. Set the size of the points displayed on the point map. Drag a measure to the Point size section.

    10. Apply color to your points - crag a measure to the Colors section.

    11. Drag the fields the values of which you want to display inside a tip on hover to the Tooltips section.

      Your chart creation wizard should look similar to the following:


    12. Click Save in the upper-right corner of the page.

    13. Name your chart and click Done.

    14. Choose the appropriate location for your chart by dragging it around the dashboard and resize it by dragging the lower-right corner of its frame.

    15. Click Save in the upper-right corner of the page.

    Wizard slot Description
    Points (Geopoints) Dimension or Measure. Single-field slot. Must contain a geopoint.
    Point size Measure. Sets a point size depending on the measure value.
    Colors Dimension or Measure. Affects the saturation of point fill color.
    Signatures Measure. Overlays a text on a point.
    Tooltips Dimension or Measure. Displays the text from the fields in a tooltip over a point on hover.
    Layer filters Dimension or Measure. Used as a filter for the current layer. You can add a Measure Names or Measure Values field to this slot.
    Chart filters Dimension or Measure. Used to filter values. You can add a Measure Names or Measure Values field to this slot.

    To open chart settings, click to the right of the chart type above the wizard slot fields. You'll see a dialog window with the following controls:

    Control Default state Description
    Header Off Displays the specified text in the centered line above the chart.
    Legend On Displays the dimension or measure and a color value gradient in a frame in the upper-right corner of the chart.

    After managing the controls, click Apply to see the results on the chart preview.

    To open slot settings, click in a row with the slot name.

    Points size:

    Under Minimal point size and Maximal point size, specify the range in which the size f point on the map will vary.


    Under Gradient type, select between two or three colors to use in the gradient.

    In the drop-down menu, select the color preset to use in your chart. To reverse the gradient, click .

    • We recommend using contrasting colors to visualize the values which the points on the map display.