Heatmap Chart
A Heatmap is a representation of your data that uses a system of color coding to represent different values. This visual depiction can help you understand data by making it visually obvious how the data are clustered or varied.
SmartSuite's Heatmap Chart has undergone several enhancements to improve its data visualization capabilities. These updates include consistent sorting, the display of drill-in enabled values within segments, a refined color scale for better value highlighting, configurable X and Y axis sort orders, and labeled axes with the field names of their source data.
Creating a Heatmap Chart
Add a New Chart View:
Open the table where you want to create the heatmap chart.
Click on the "Add View" button to create a new view.
Select "Chart View" from the list of available view types.
Select Heatmap Chart:
In the chart settings section, choose "Heatmap Chart" as the chart type.
Configure Chart Settings:
Value Field: Select the field that will provide values for the cells in the heatmap.
X and Y Axis Fields: Choose the fields that will define the heatmap’s X and Y axes.
Adjust Sort Order:
For each axis (X and Y), configure the sort direction by selecting "First to Last" or "Last to First" from the dropdown menu.
Key Features and Enhancements
Consistent Sorting: Ensures that data is consistently ordered, providing a clear and accurate representation.
Drill-In Enabled Values: Values within segments are now displayed and can be drilled into for more detailed insights.
Refined Color Scale: The color scale has been improved to better highlight the differences in values, making the heatmap more intuitive.
Configurable Sort Order: The sort order for both the X and Y axes can be easily configured, allowing for customized data representation.
Labeled Axes: Each axis is labeled with the field name of its source data, enhancing clarity and ease of use.
Example Use Case
Consider a sales team tracking performance across different regions and time periods. By creating a heatmap chart, they can quickly visualize which regions are performing well and during which months. The ability to drill into specific segments allows for deeper analysis, while the refined color scale ensures that significant values stand out.
Example - Heatmap with Single Select, Multi-Select and Sum
