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Supposing the following dataset (representing average response times for a web site in certain time periods)
Date | 75th Percentile | 90th Percentile | 95th Percentile |
2017-07-07 00:00 | 27 | 48 | 61 |
2017-07-07 01:00 | 18 | 36 | 47 |
2017-07-07 02:00 | 24 | 53 | 68 |
2017-07-07 03:00 | 20 | 48 | 78 |
2017-07-07 04:00 | 25 | 35 | 60 |
2017-07-07 05:00 | 15 | 37 | 49 |
2017-07-07 06:00 | 23 | 39 | 63 |
2017-07-07 07:00 | 15 | 35 | 57 |
2017-07-07 08:00 | 13 | 31 | 49 |
If displayed as a clustered column chart it appears as follows
If displayed as a stacked column chart it appears as
This is closer to the effect that I want but I want the bars stacked "behind" each other rather than on top of each other so the labels on the Y axis correlate with the percentile value.
If I pre-massage the data so that the 90th and 95th percentiles are calculated as the diff from the previous percentile as below...
Date | 75th Percentile | 90th Percentile | 95th Percentile |
2017-07-07 00:00 | 27 | 21 | 13 |
2017-07-07 01:00 | 18 | 18 | 11 |
2017-07-07 02:00 | 24 | 29 | 15 |
2017-07-07 03:00 | 20 | 28 | 30 |
2017-07-07 04:00 | 25 | 10 | 25 |
2017-07-07 05:00 | 15 | 22 | 12 |
2017-07-07 06:00 | 23 | 16 | 24 |
2017-07-07 07:00 | 15 | 20 | 22 |
2017-07-07 08:00 | 13 | 18 | 18 |
... then I get the visual effect that I want. The 95th percentile in the right hand column is aligned with 49. But now the tooltip functionality doesn't work as desired. Mousing over that segment shows a value of 18 rather than 49.
Is there any way that I can get the visual effect of the last attempt without having to fiddle the data - so the tooltips still show the correct information?
You may try to add calculated columns to specify additional data points that display as part of the tooltip.
https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-custom-tooltips/
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