Status bar explain data enhancements in Tableau 2020.1
Tableau 2020.1 finally lets you resize the Explain Data window and peek behind the curtain with a new status bar.
- Explain Data in 2020.1 lets you resize the analysis window, turning it into more of an ad hoc exploration tool
- A new status bar at the bottom shows how many fields were considered in the analysis, e.g. 18 of 33
- Clicking the status bar icon exposes a description of what the underlying machine learning analysis did
- You retain prior capabilities: spinning off charts from a view and viewing the underlying field data
- With multiple measures on rows, columns or marks, each view's analysis appears in separate tabs
Tableau 2020.1 adds small but useful refinements to Explain Data: a resizable analysis window and a status bar that shows how many fields were considered, giving you a bit more visibility into what the underlying analysis is doing.
Builds on the Explain Data feature introduced in Tableau 2019. Shown on a chart with profit ratio and profit, where clicking a data point and hitting the Explain Data icon triggers the machine learning analysis.
- Trigger Explain Data on a point 0:21
Select a data point in your view and click the Explain Data icon to have Tableau run its behind-the-scenes analysis on that point. Choosing a more distinctive or unusual data point gives you richer results than a flat one.
- Resize the analysis window 1:01
New in 2020.1, you can now resize the Explain Data window rather than being stuck with a fixed size. This turns it into more of an ad hoc exploration tool you can expand to navigate the analysis more comfortably.
- Read the new status bar 1:23
A status bar at the bottom of the window tells you how many fields were considered in the analysis, for example 18 of 33 — a quick sense-check of how much of your data was actually factored in.
- Expand the status bar for a description 1:32
Clicking the status bar icon reveals a written description of what the analysis did, exposing a bit more of what's happening behind the scenes than before, though it still doesn't break down how each individual field contributed.
- Retained capabilities carry over 1:52
You can still spin off separate charts from within the Explain Data view and inspect the underlying field-level data behind any given point, just as in the previous version.
- Multiple measures produce separate tabs 2:11
If you have several measures on rows, columns or the marks pane, each view's Explain Data analysis appears in its own tab, so every analysis stays focused on a single view.
- The status bar description tells you how many fields were considered overall, but doesn't yet show how much each individual field influenced the result.
Reach for this when you want to dig into an outlier or interesting data point and need a bit more room and transparency to explore the automated explanation Tableau generates.
How this Rollup was made provenance & method
A Rollup is drafted by AI from the video's transcript, then reviewed and edited by Tim. Everything used to produce this one is listed below — the model, the exact prompt, and the source video — so the process is transparent and reproducible.
- Transcription
- On-device — NVIDIA Parakeet v3 for recent videos, OpenAI Whisper large-v3 for earlier ones. The transcript never leaves the machine or gets published.
- Drafting
- Claude Sonnet 5 in the cloud, from that transcript.
- Prompt
- The exact Rollup prompt (v2) — the full system prompt, unedited.
- Source video
- Watch on YouTube
- Drafted
- 5 July 2026 at 09:38
- Reviewed & edited
- 5 July 2026 at 09:41 · by Tim Ngwena
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