Create small multiples in Amazon QuickSight


We’re excited to announce the launch of small multiples in Amazon QuickSight at AWS re:Invent 2022! Small multiples is likely one of the strongest knowledge visualization options in the case of comparative evaluation. Beforehand, you needed to both use a filter or create a number of visuals aspect by aspect to investigate multiples slices of the identical knowledge. With the launch of small multiples, authors can merely add a dimension to the Small multiples area nicely to create a number of variations of the identical chart.

On this put up, we discover this new characteristic and its advantages.

What are Small Multiples?

Small multiples (aka trellis, side, lattice, grid, or panel charts) lets you evaluate knowledge throughout many values for a given dimension. It splits a base visible into a number of variations of itself, offered aspect by aspect, with its knowledge partitioned throughout these variations by a dimension. It offers a neater solution to get a holistic view of what you are promoting as an alternative of knowledge in silos. For instance, you may view how what you are promoting is doing in every state with no need to create over 50 completely different visuals. As an alternative, you may see one visible with a number of small charts inside it, as proven within the following screenshot.

Frequent use instances for small multiples

The small multiples characteristic offers the next advantages to your use instances:

  • Comparative evaluation with straightforward sample recognition – You need to use small multiples to match completely different subsets (classes) of the identical dataset. In comparison with animation, small multiples presents all the knowledge directly, making it simpler for viewers to naturally evaluate every chart with others, as an alternative of making an attempt to flip backwards and forwards between views.
  • Clear and digestible knowledge – Making an attempt to show a number of variables in a single chart can result in overplotting and obscure readers, which might be overcome utilizing small multiples(refer under instance). Additionally, as soon as the reader understands the design of 1 chart, they will apply this information as they scan the remainder of the charts. This shifts the reader’s effort from understanding how the chart works to what the information says, which makes decoding the chart lot simpler.
  • Storytelling – Small multiples is a superb instrument usually utilized by newspapers to depict a narrative and permit clients to view adjustments in patterns (for instance, contemplate the next Washington Submit article).
  • Observe or view a number of slices of knowledge directly – You possibly can monitor a number of assets directly with out producing a number of visualizations or filtering to slice and cube the information.

Create your personal small multiples in QuickSight

Presently, you may create small multiples on vertical bar, clustered bar, line, twin axis line, and pie charts. To get began, create one of many supported visuals and drag the sphere by which you wish to partition the information to the Small multiples area nicely. This creates multiples of the chart break up by the dimension assigned in a grid vogue.

For charts supporting axes like line and bar, the X-axis is made widespread throughout charts. This offers a cleaner look to simply spot developments and establish the ache factors or contributing components. The axis show settings and axis titles are managed by the person chart settings. The next screenshot exhibits an instance.

Styling small multiples

You possibly can customise the fashion of small multiples within the following methods:

  • Select a structure – For ease of use, small multiples by default chooses the very best panel structure relying on the cardinality of the sphere. You may also modify the variety of rows and columns as much as a max of 10 rows per column and 64 panels. Any multiples that don’t match within the structure are loaded as you scroll vertically. Within the following instance, we have now chosen two rows and three columns as our structure. This implies you solely see six panels at a time; the remaining might be accessed through vertical scroll.
  • Restrict panels – You possibly can outline the utmost variety of panels to be displayed primarily based on the kind order utilized on the sphere in your Small multiples area nicely.
  • Format panel titles – Panel titles add context to the multiples being considered. You possibly can add wealthy textual content formatting like font styling and alignment choices.
  • Customise panel styling – You possibly can additional customise the small multiples feel and appear by taking part in round with the panel border styling choices, adjusting the panel spacing, and including panel background shade.

Interacting with the information

  • Sorting– Relying on the chart kind, you may kind by axis, worth, and small multiples fields in ascending or descending order.
  • Filtering experience- You may also set filter actions in identical means you set for different charts. Filtering on small multiples will go each the small multiples and axis (in case of line or bar charts) or group (pie charts) context.

Extra to come back

We’re enthusiastic about our launch, and we have now heaps extra deliberate for small multiples. In upcoming releases, we’ll sort out the present limitations:

  • Drill-down is at the moment not supported for small multiples.
  • Reference traces have been disabled for now.
  • Present Different small multiples panel will not be supported.
  • Small multiples isn’t supported when the first class is sorted by a area that has the distinct rely aggregation perform.
  • Small multiples doesn’t assist calculated values with desk calculation.
  • Knowledge zoom on the X axis for line and bar charts is disabled for now.
  • Panel title will not be displayed within the tooltip by default. To see it, you need to manually customise the tooltip and add a Small multiples area in it.


On this put up, we regarded on the small multiples options, and realized about its varied use instances and the way to configure them in QuickSight. You possibly can analyze knowledge by a number of dimension attributes in an easy-to-understand and easy-to-maintain means. With small multiples, readers can shortly see which classes are most essential, and spot developments and insights. Begin utilizing small multiples to complement your dashboards’ present visualization and unlock new enterprise use instances right now!

Concerning the Writer

Bhupinder Chadha is a senior product supervisor for Amazon QuickSight targeted on visualization and entrance finish experiences. He’s keen about BI, knowledge visualization and low-code/no-code experiences. Previous to QuickSight he was the lead product supervisor for Inforiver, liable for constructing a enterprise BI product from floor up. Bhupinder began his profession in presales, adopted by a small gig in consulting after which PM for xViz, an add on visualization product.


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