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Tableau Data Guide: New in Tableau 2022.3

Tableau 2022.3's Data Guide finally tries to help users actually understand your dashboards, but the admin controls leave something to be desired.

Part ofWhat's new in Tableau 2022.3
  • Data Guide operates at three levels of detail: dashboard, individual view, and a specific mark, with the pane updating context as you click deeper.
  • It surfaces applied filters, used fields and explained-data style outliers, so badly named fields and stray hidden filters become visible to all users.
  • Authors can add a description and multiple labelled links (guides, changelogs, videos, documentation) at both dashboard and visualisation level, but URLs must be properly formed with http.
  • Data Guide hosts Explanations (similar to Explain Data) and the new Data Change Radar, which snapshots a dashboard to show changes over time.
  • Admin control is limited: you can only set whether Data Guide opens by default at user level, and disabling Explain Data site-wide does not switch off the outlier analysis.

In this video we take a look at Data Guide a new feature designed to help consumers discover how to use dashboards while at the same time using explain data and data change radar to surface insght from the dashboard.

Tableau Release Notes Data Guide provides helpful information about a dashboard and insights about the data behind it. Data Guide allows dashboard creators to provide more explanatory context for end users–like descriptions and links to resources–directly in the dashboard. And Data Guide automatically surfaces insights powered by Explain Data and Data Change Radar to help users find outliers, identify notable data changes, and learn about explanations for a mark. Explain the Viz (powered by Explain Data) identifies outlier measures and potential key drivers behind them. Data Change Radar (Tableau Cloud only) tracks values in your dashboard over time and automatically flags values outside of the normal patterns as data refreshes.

Timestamps: 0:00 Intro 0:12 How to find data guide 0:59 Different levels in Data Guide 6:50 Authors perspective 9:53 Consider style guides 10:37 Disable Data guide on load 14:25 Closing remarks & Bloopers

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