A heat map displays the distribution of values for two data items by using a table with colored
cells. If you do not assign a measure to the Color data
role, then a cell’s color represents the frequency of each
intersection of values. If you assign a measure to the Color data role, then a cell’s color represents the aggregated measure value for each intersection of values.
Data Roles for a Heat Map
The basic data roles for a heat map are:
X axis
specifies the data item that is assigned to the X axis.
adds a fit line to the heat map. For
information about the fit types that are available, see Fit Lines.
Note: Fit lines are not available
if a category is assigned to the heat map.
Applying Data Analysis
About Data Analysis
For heat maps, you can
apply the following data analyses:
Correlation
identifies the degree of statistical correlation between the variables in the visualization. For more information,
see Correlation.
Fit Line
plots a model of the relationship between the variables in the visualization.
There are many types of fit lines, including linear fit, quadratic fit, cubic fit,
and penalized B-spline. For more information, see Fit Lines.
Correlation is applied to your visualization automatically when you add a linear fit line. It is not available with other fit types.
Enable Data Analysis
To add a fit line to your visualization, select the drop-down list from the visualization toolbar, and then select Fit Linefit-type. For information about the fit types that are available,
see Fit Lines.
Note: Fit lines are not available
if your heat map contains categories or hierarchies.