With a discrete story type, a user is trying to compare values and understand the distribution of their data. The narrative analysis adds distribution, and groupings/clusters across the data.
Contribution analysis for multi-dimensional narratives.
Below are examples of how the narrative analysis changes with 1M/1D, 1M/2D and 2M/1D, as well as a breakdown of each analytic type.
Narratives for Tableau has support for the following scenarios of discrete analysis:
- Single dimension with between one and 10 measures
- Two dimensions and three measures
The example below is a single dimension and single measure bar chart:
The example below is a single dimension bar chart with two measures:
The example below is a bar chart with two dimensions and a single measure:
Where is the Discrete Story Analysis Useful?
- Sales Reporting - better understand drivers of your KPIs
- Data Discovery - quickly identify and understand outliers
- Audit - identify trends not easily observable in the visual
- Geographical - instantly uncover complex utilization insights
- Relationships - identify and call out key relationships between sales & profit
Example of Discrete Story:
To learn more about each insight in detail, watch our Discrete Story Type video.
If you'd like to see all available narrative types, download our Tableau Workbook With All Story Types.