Adding drill-downs to visual data in Amazon QuickSight - Amazon QuickSight
Adding a drill-down

Adding drill-downs to visual data in Amazon QuickSight

All visual types except pivot tables offer the ability to create a hierarchy of fields for a visual element. The hierarchy lets you drill down to see data at different levels of the hierarchy. For example, you can associate the country, state, and city fields with the x-axis on a bar chart. Then, you can drill down or up to see data at each of those levels. As you drill down each level, the data displayed is refined by the value in the field you drill down on. For example, if you drill down on the state of California, you see data on all of the cities in California.

The field wells you can use to create drill-downs varies by visual type. Refer to the topic on each visual type to learn more about its drill-down support.

Drill-down functionality is added automatically for dates when you associate a date field with the drill-down field well of a visual. In this case, you can always drill up and down through the levels of date granularity. Drill-down functionality is also added automatically for geospatial groupings, after you define these in the dataset.

Use the following table to identify the field wells/on-visual editors that support drill-down for each visual type.

Visual type Field well or on-visual editor
Bar charts (all horizontal) Y axis and Group/Color
Bar charts (all vertical) X axis and Group/Color
Combo charts (all) X axis and Group/Color
Geospatial charts Geospatial and Color
Heat map Rows and Columns
KPIs Trend Group
Line charts (all) X axis and Color
Pie chart Group/Color
Scatter plot Group/Color
Tree map Group by
Important

Drill-downs are not suppoted for tables or pivot tables.

Adding a drill-down

Use the following procedure to add drill-down levels to a visual.

To add drill-down levels to a visual

  1. On the analysis page, choose the visual that you want to add drill-downs to.

  2. Drag a field item into a Field well.

  3. If your dataset has a defined hierarchy, you can drag the entire hierarchy into the field well as one. An example is geospatial or coordinate data. In this case, you don't need to follow the remaining steps.

    Interface showing hierarchy of place names with country, province, and city levels in a geospatial field well.

    If you don't have a predefined hierarchy, you can create one in your analysis, as described in the remaining steps.

  4. Drag a field that you want to use in the drill-down hierarchy to an appropriate field well, depending on the visual type. Make sure that the label for the dragged field says Add drill-down layer. Position the dragged field above or below the existing field based on where you want it to be in the hierarchy you're creating.

    Data visualization interface showing fields list, field wells, and chart options for car sales analysis.
    Fields list and visualization options for car sales data, including car make and model selection.
    Fields list and Field wells interface showing car-make and car-model as X axis options.

  5. Continue until you have added all of the levels of hierarchy that you want. To remove a field from the hierarchy, choose the field, and then choose Remove.

    Data visualization interface showing fields for car sales analysis, including make, model, and total sales.

  6. To drill down or up to see data at a different level of the hierarchy, choose an element on the visual (like a line or bar), and then choose Drill down to <lower level> or Drill up to <higher level>. In this example, from the car-make level you can drill down to car-model to see data at that level. If you drill down to car-model from the Ford car-make, you see only car-models in that car-make.

    After you drill down to the car-model level, you can then drill down further to see make-year data, or go back up to car-make. If you drill down to make-year from the bar representing Ranger, you see only years for that model of car.