Discrete Story

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 1D/1M, 2D/1M and 1D, 2M, as well as a breakdown of each analytic type. 




 Narratives for Power BI has support for the following scenarios of discrete analysis:

  • Single dimension with between one and 10 measures
  • Two dimensions and one measure

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: 



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