# Tableau 2020.2: Explain data enhancements

> This is content from just-tim, the data-and-analytics channel by Tim Ngwena (formerly 'Tableau Tim'). Tim has 12+ years of hands-on BI experience and covers Tableau most of all, plus Power BI, Looker, Hex, SQL and data modelling, the analytics industry, and the craft of doing the job — always tool-agnostic and honest about the trade-offs.

- **Author:** Tim Ngwena (just-tim, https://just-tim.com/about)
- **Published:** 2020-05-06
- **Format:** Video · 3 min watch · transcript available
- **Topics:** Data visualisation, Analytics
- **Tools:** Tableau (ai, data modelling)
- **Canonical:** https://just-tim.com/posts/tableau-2020-2-explain-data-enhancements
- **Watch:** https://www.youtu.be/4nZn5DaIxtI

I walk through the Explain Data enhancements in Tableau 2020.2 using the Sample Superstore data set. I build a simple profit versus profit ratio scatter plot and show how you can now choose which fields feed the analysis and how the feature detects multiple extreme values.

## Key takeaways

- The 2020.2 side pane looks different because it uses the new data model, but you can still follow along with similar data
- You can now choose which dimensions and measures are included in the Explain Data analysis by browsing and adding or removing fields
- Explain Data makes sensible automatic guesses, excluding fields like latitude, longitude and the profit ratio already on the chart
- The feature can now spot and list multiple extreme values rather than just a single outlier

## Chapters

- 0:10 Building a view to test the features
- 0:57 Running Explain Data on an outlier
- 1:17 Choosing fields used in the analysis
- 2:13 Spotting multiple extreme values

Watch the full video, read the transcript and use chapter deep-links on the page: https://just-tim.com/posts/tableau-2020-2-explain-data-enhancements

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just-tim — Data and analytics, with a point of view. · https://www.youtube.com/channel/UC7HYxRWmaNlJux-X7rNLZyw · https://twitter.com/TableauTim · https://www.linkedin.com/in/timngwena
