Drilldown is the process of going down in a hierarchy of dimensions to get more granular values of the measures. In a data set with more than one dimension, which is linked to each other in an hierarchical fashion, we start with a dimension at the top and then gradually add more dimensions to get new granular values.
Drill-down options give more insight into how different values at each level get aggregated.
In the all_slaes data set, let’s consider the following 3 dimensions applied to the measure Sales.
Following are the steps to perform a drill-down.
Create a visualization with dimension - product line and measure sales as shown in the following screenshot.
Add the dimension category to the visualization below Product Line. As you can see the value of the sales column changes, reflecting the values for each category under the product line.
Next, let’s add the dimension sub-category below the dimension category and it further changes the values in the sales column.