When you load a dimension table (say a calendar table) in Power BI desktop, there are often lots of numeric columns that are not additive. Examples include Year, Month Number, Day of Week etc. By default (unless you set the data type to text) these numeric columns will have the default aggregat...
It's great that Power BI report server will the capability to run R & Python scripts for data transformation.
If one project you have selected the Lock objects option from View panel, and you save the project, keep it selected next time you open the project. On the November update, each time you open Desktop, this option appear deselected. Thank you!
The current paradigm for organising dashboards is not scalable; need to introduce the notion of 'pages' or 'sections' within a dashboard so that a 'dashboard package' can be created. While multiple dashboards can now be created and navigated from the top pane, this is a very simplistic approach....
Waterfall in July 2017 update is cool. But it is looking really weird when the breakdown dimension is a period (ie. months that have a natural order). It would be great if the chart could be sorted by Breakdown dimension. On the example of months, we will be able to see the variation between 2 ye...
With growing data models and 10s or 100s of measures its hard to keep the overview wich of the columns are neither used in a measure, nor as a slicer/ filter. For optimizing the data model (e. g. removing unnecessary columns) it would be great to know who they are.
Perspectives are an incredibly useful feature for complex models for end-users. For a complex model, there can be 50+ Tables with 100s of Columns and Measures (sometimes 1000+). This can be overwhelming for a new user who would connect to the Data Model to create their own reports (either using P...
You just added this feature to slicers/tables but forgotten about matrix tables..
I deal with a great amount of time-series data (100'000 records for tens of series) and the limit of 1000 points in line charts is very restrictive to me, particularly when the series belong to 10 or more different series (each series is undersampled to 100 (1000/10) or less points making a very ...
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