After you Create a Dashboard, you can add the Data Story object to your dashboard to display insights about your viz that are written in natural language. Today, Tableau Data Stories are available for English only. There is no data size limit when creating Data Stories. However, story generation times out after 45 seconds if it’s trying to analyze a lot of data. We recommend using Data Stories with visualizations that have 1,000 or fewer data points.
Note: Tableau Data Stories opens in a pop-up window, so be sure to allow pop-ups. If you're using full screen mode, then Data Stories can open in a new tab.
- Drag the Data Story object into your Tableau dashboard. If you haven’t already, add a sheet to your dashboard to use Tableau Data Stories.
- In the Data Story dialog box, configure your story by first choosing the worksheet to write about. When you click Next, Tableau sends all associated workbook data to Tableau Cloud.
- Choose the dimensions and measures to include in your story.
- Choose the type of story that best describes your data:
Discrete is best for qualitative values such as names or dates, such as in bar or column charts.
Continuous is best for quantitative values over time, such as a plotted in a line chart.
Percent of Whole is best for proportions of a whole, such as a pie chart.
Scatter Plot is best for relationships between numerical values, such as a scatter plot chart.
- Click Done.
To filter your Data Story by clicking different sections on your visualization, open the menu on your visualization and click Use as filter.
After your story is generated, click Settings at the top of your Data Story object for a guided experience that helps you personalize and contextualize your story. For more information, see Configure Settings for a Tableau Data Story.
Note: If you experience a discrepancy in your Tableau Data Story (for example, if the numbers in your story are different than in your visualization), it may be caused by way your visualization is set up. Try creating a new visualization on a different sheet, and then add a new Data Story with the Use a hidden sheet technique to uncover the underlying issue.