Heatmap

In the Data Explorer, a heatmap is a map-based representation of the selected data points in which data values are represented as colors. You can use this view to find geographical density hotspots within your data, at any map scale, by zooming in and out of the map, using your mouse or trackpad. The heatmap is updated dynamically when you change time or property filters.

You can also identify time trends in the hotspots by altering either the time trend chart or switching to time-of-day view to select certain hours of the day. For more information on time trends, see Time trend chart.

Select this view by clicking Heatmap button:

Using a heatmaps for continuous numeric data

For continuous numeric property breakdowns, the map shows either the average or total values (depending on which summary statistic you have selected) as a set of overlapping, color-coded, filled contour shapes over the map, where:

  • the average value is colored according to the colors assigned to each of the buckets
  • the total values is colored according to the density of the data points on the blue to red spectrum
  • areas without any data in that layer show the base map

Example: Visualizing total continuous numeric data using a heatmap

If you have a dataset that contains data about the journeys taken by shipping vessels, for example, you might ask:

What are the pollution hotspots for my shipping vessels?

By selecting the total for pollution property value breakdown and then viewing this data as a heatmap, you can visualize both the density of the data points as well as their dispersal, providing you with visualization of the pollution levels.

Example: Visualizing average numeric data using a heatmap

You may have some demographic data about the customer who use your apps and you might want to know:

What is the average age of our app users across the United Kingdom?

By visualizing the average age of your users as a heatmap, you can see the distribution of average age for app users across the United Kingdom, providing insights into your target audience.

Heatmaps for categorical data

For categorical property breakdowns, the map shows the geographical density of data points in a layer as a set of overlapping, color-coded, filled contour shapes above the map, where:

  • low density regions are colored dark blue, through the spectrum to bright red, which indicates high density regions
  • areas without any data in that layer show the base map