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Amazon QuickSight
User Guide

Working with Visual Types in Amazon QuickSight

Amazon QuickSight offers a range of visual types that you can use to display your data. Use the topics in this section to learn more about the capabilities of each visual type.

Measures and Dimensions in Visuals

When we describe how to use the different visual types, we use the term measure to refer to numeric values that you use for measurement, comparison, and aggregation in visuals. A measure can be either a numeric field, like product cost, or a numeric aggregate on a field of any data type, like count of transaction IDs.

We use the term dimension to refer to text or date fields that may be items, like products, or attributes that are related to measures and can be used to partition them, like sales date for sales figures or product manufacturer for customer satisfaction numbers. Amazon QuickSight automatically identifies a field as a measure or a dimension based on its data type.

Note that there are numeric fields that act as dimensions, for example zip codes and most ID numbers. It is helpful to give such fields a string data type during data preparation, so that Amazon QuickSight understands that they are to be treated as dimensions and are not useful for performing mathematical calculations.

You can change whether a field is displayed as a dimension or measure on an analysis-by-analysis basis instead, see Fields as Dimensions and Measures.

Display Limits in Visuals

All visual types limit the number of data points they display, so that the visual elements (like lines, bars, or bubbles) are still easy to view and analyze. The visual selects the first n number of rows for display up to the limit for that visual type, either according to sort order if one has been applied, or in default order otherwise.

The number of data points supported varies by visual type. Refer to the topic for a particular visual type to learn more about its display limits.

The visual title identifies the number of data points displayed if you have reached the display limit for that visual type. If you have a large data set and you want to avoid running into the visual display limit, use one or more filters to reduce the amount of data displayed.

For more information about using filters with visuals, see Filtering Visual Data in Amazon QuickSight.

Amazon QuickSight supports up to 20 data sets in a single analysis, and up to 20 visuals in a single analysis.