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.
adiletelf
commented
2 months ago
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