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. It also includes contribution analysis for multi-dimensional narratives.
Narratives for Tableau supports the following scenarios of discrete analysis:
- Single dimension with between one and 10 measures
- Two dimensions and up to three measures
The breakdown below shows a typical discrete story and outlines the different analytic types that power each sentence.
Below are examples of how the narrative analysis changes with 1M/1D, 1M/2D and 2M/1D scenarios.
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
To learn more about each insight in detail, watch our Discrete Story Type video or read the settings article on Discrete Analytics.
If you'd like to see all available narrative types, download our Tableau Workbook With All Story Types.