Building analyses from datasets

An analysis is the foundation for visualizing your datasets. It is a container for a set of related visuals. Each analysis also contains a default story, which can be used to step through different iterations of an analysis over time; for example, you may want to share the same visual but with different filters like year/region and see them in a sequence as scenes.

An analysis is generally based on one dataset but QuickSight allows you to join datasets under one analysis, although a given visual can only have data from one dataset. You can have a maximum of 20 visuals in an analysis.

Let's look into the detailed steps for creating a new dataset and then an analysis on top of that dataset.

Creating a new dataset

Before we can create an analysis, we need a dataset. Let's review the steps to create a new dataset:

1. For this example, we will create a new dataset based on a USA census data file that we have in S3 storage called USACensusSalarybyZip.csv. Click first on...