With a scatter plot story type, a user is trying to better understand the relationship between two measures.
The narrative analysis adds the relationship (regression) between two measures, and if there are any groups (clusters) within the data.
Narratives for Tableau has support for the following scenarios of scatterplot analysis
- Single dimension and either two or three measures
The example below is a scatterplot with two measures. For narrative generation, the first measure when you select measures will be treated as the independent variable and the second will be the dependent variable.
The example below is a scatterplot with three measures. For narrative generation, when you set up your measures, the first would be the 'x', the second would be the 'y' and the third would be the 'z'. In the example below, days to ship would be the 'z'.
Below is a breakdown of how the insights appear with 1D/2M, the narrative is similar with 1D/3M.
Where is the Scatterplot Story Analysis Useful?
- Regression Analysis - call out relationships between two measures to identify impact
- Identify Outliers - more easily understand outliers above and below thresholds
- Distribution - read analytics on how your data is distributed
Example of Scatterplot Story:
To learn more about each insight in detail, watch our Video Series: Scatterplot video.
If you'd like to see all available narrative types, download our Tableau Workbook With All Story Types.