really appreciate everybodie's work for this visual, so far. However, there is some limitation in usability due to the assumption of row-oriented datasets. For instance, it is very difficult (or impossible) to use the visual on drillthrough-pages with dynamically filtered subsets of larger (column-oriented) tables. Is there a way to implement an evaluation logic for column-oriented datasets?
What I mean is: turn around the meaning of "categories" and "Y-Axis" when plotting the Radar Chart: "Categories" is used for the definition of dimensions/axes, and all data put into "Y-Axis" (might be better called "values") are representing the individual datapoints in the chart, sorted in columns for each dimension.
There is a third-party visual which is actually doing exactly what I mean - but it has unfavorable design. Please refer to the screenshot below and attached pbix.
Hi there,
really appreciate everybodie's work for this visual, so far. However, there is some limitation in usability due to the assumption of row-oriented datasets. For instance, it is very difficult (or impossible) to use the visual on drillthrough-pages with dynamically filtered subsets of larger (column-oriented) tables. Is there a way to implement an evaluation logic for column-oriented datasets?
What I mean is: turn around the meaning of "categories" and "Y-Axis" when plotting the Radar Chart: "Categories" is used for the definition of dimensions/axes, and all data put into "Y-Axis" (might be better called "values") are representing the individual datapoints in the chart, sorted in columns for each dimension.
There is a third-party visual which is actually doing exactly what I mean - but it has unfavorable design. Please refer to the screenshot below and attached pbix.
Is there any way to implement this?
Thx, Thomas
RadarChart_Test.zip