Heatmap Chart – QBeeQ | Documentation

A heatmap is a graphical representation of data where individual values are shown using color gradients. It’s especially useful for identifying patterns, correlations, and anomalies across two dimensions—such as time vs. category, or location vs. performance.

Heatmaps are ideal for surfacing insights in dense datasets where traditional charts may become cluttered, such as:

tracking service volume by hour and day,

highlighting areas of high activity or demand

visualizing survey responses across groups

By turning raw data into visual patterns, heatmaps help users quickly spot trends and focus attention where it matters most.

Before you start

Ensure the correct board is connected to the dashboard. The board containing the data you want to visualize must be connected to the dashboard before using Super Charts. Step-by-step guidance can be found in Getting Started.

Creating a Heatmap Chart

To create a Heatmap Chart,

Select data to display

Choose your calculations and aggregations

Customize unit and color settings (optional)

Select data to display

Time Column

Choose a column that contains date or time data. This selection will define the time intervals shown across the top of the heatmap.

ℹ️

Supported column types: Date, Creation Log and Last Updated

Category Column

Choose a column to group your rows. This selection determines what appears on the left side of the heatmap—such as team members, ticket types, or departments.

Value Column

Select a numeric column to populate the heatmap cells. This could be metrics like hours worked, number of tickets, or revenue.

These values will be aggregated based on the calculation method that you select.

Choose your calculations and aggregations

Calculation Method

The calculation method determines how to calculate the values (from the category column) displayed on the heatmap.

Count – total number of entries per time/category cell

Sum – total value from the numeric column

Group Time By

Choose the time granularity for your columns, which affects how your data (from the time column) is grouped and displayed across the top of the heatmap.

Days

Weeks

Months

Quarters

Time Range to Display

Setting the time range defines the start and end dates of the data you want to visualize, and works with your Group Time By selection to shape the chart view.

Customizing unit and color settings

You can use the native monday.com unit settings to display your preferred units.

To change the colors of your heatmap, select a color for minimum value and a color for maximum value. The chart will apply gradients in between the chosen clors

Troubleshooting

For more information on troubleshooting, see our Troubleshooting guide.