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How does filtering work in Juicebox?

Design your data with a top-down approach to exploration

James Lytle avatar
Written by James Lytle
Updated over 2 years ago

One of the most powerful features of Juicebox is the ability to create a connected flow that lets users explore within a data story.

What do we mean by “connected flow”? Each element of your Juicebox data story will automatically fit together to enable drill-down capabilities for your users. When they make selections, those choices are passed down the page as filters to update the rest of the data story. Some data people call this a “top-down” approach, where the high level summaries are shown at the beginning, and the granular details at the end.

Think of it like a “Choose Your Own Adventure” book for the users of your Juicebox reports. And it happens without any work or technical expertise from you.

As an editor, you can connect selections to other parts of your story in a couple more ways:

  1. Data Cards give your users selectors that can drive the data choices of visualizations in slices below.

  2. Dynamic text shows user selections in the titles and descriptive text of your data story.

Here are these concepts as applied to the Movie Trends sample report in Juicebox:

  1. A Data Card slice with measure ingredients summarizes all the data, presents a choice for which measure to explore.

  2. Mid-way down the page, Genre’s shows a Bar chart with medium granularity because there are only 17 Genres. Selections of bars will act as a filter down the page.

  3. Further down, we have a choice to look at more granular ingredient dimensions like Movies, Lead Actors, and Directors.

Juicebox is different from other dashboards or reports that you may have used. By creating an exploratory, connected path through automated filters, complex reports can be turned into simple and powerful data stories for your audience.

Jump in and give it a try.

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