Heat map

A heat map shows the density of point distribution. Map areas are colored with a gradient ranging from green to red: the more points are grouped in an area, the closer its color is to red. Heat maps are used to display concentrations of a large number of points.

A heat map is most effective when working with a dataset that contains a lot of points located within a small geographic area. If there are few points on a map, their fill intensity can be indicated by a measure value: the higher the value, the closer the point color to red.

A heat map helps find dependencies that can be hidden due to overlapping map points (like on a point map). For example, you can use a heat map to determine the districts where customers order for delivery most often.

Wizard sectionsWizard sections

Creating a heat mapCreating a heat map

1. Go to the DataLens home page.
2. In the left-hand panel, select Charts.
3. Click Create chart → Chart.
4. At the top left, click Select dataset and specify the dataset to visualize. If you do not have a dataset, create one.
5. Select Map for chart type.
6. Select the Heat map (Geopoints) layer type.
7. Drag a dimension of the Geopoint type from the dataset to the layer type selection section.
8. Change the weight of the points on the heat map. To do this, drag the measure to the Colors section.

You can also:

• Add, rename, and delete a layer.
• Apply a filter to the whole chart or one layer.

RecommendationsRecommendations

• Use a heat map if there are a lot of points in your dataset. If there are few points, using this type of map may distort the detected dependencies.
• The intensity of point and area fill on a heat map varies depending on the map's scale. Please keep this in mind.

See alsoSee also

• Creating a dashboard in DataLens
• Adding a chart to a dashboard
• Adding a selector to a dashboard