Last updated: Oct 09, 2024
Heat map charts present data where the individual values that are contained in a matrix
are represented as colors.
Creating a simple heat map chart
- In the Chart Type section, click the Heat map
icon.
The canvas updates to display a heat map chart template.
- Select a variable as the Column variable. Each variable category is represented as an individual chart column.
- Select a variable as the Row variable. Each variable category is represented as an individual chart row.
- Click the Save visualization in the project control to save the visualization to the project. You can select to also Create a new asset from the visualization, provide a visualization asset name, description, and chart name.
- Click Apply to save the visualization to the project. The new visualization asset is now available under the Assets tab.
Options
- Column
- Lists variables that are available for the chart's columns. Each variable category is represented as an individual chart column.
- Row
- Lists variables that are available for the chart's rows. Each variable category is represented as an individual chart row.
- Category order
- Select the order in which variable categories are sorted.
- As read
- Variable categories are presented as they appear in the data set.
- Ascending
- Sort variable categories in ascending order.
- Descending
- Sort variable categories in descending order.
- Summary
- Select a statistical summary function for the graphic element. The result of the statistic
determines the position of the graphic elements on the Y-axis. In a 2-D chart, the statistic is
calculated for each value on the X-axis. In a 3-D chart, it is calculated for the intersection of
values on the X-axis and Z-axis.Two types of statistical summary functions are available. The distinction is important because it determines whether you need to specify a Value variable.
- Functions that do not require a value variable. Functions that do not require a variable. All count and percentage statistics are in this category. These statistics are available when the Value variable is not defined.
- Functions that do require a value variable. Functions that do require a Value variable. For example, the Mean function requires a variable on which the mean is calculated. These statistics are available when the Value variable is not defined.
- Value
- This field displays when a Summary function that requires a value variable, is selected. Select a variable to serve as the value.
- Primary title
- The chart title.
- Subtitle
- The chart subtitle, which is placed directly beneath the chart title.
- Footnote
- The chart footnote, which is placed beneath the chart.
- XAxis label
- The x-axis label, which is placed beneath the x-axis.
- YAxis label
- The y-axis label, which is placed above the y-axis.