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Hi Guys,
I have a report that I use to drill through data. When I drill down into data it looks like the values it populates on the x axis do not get filtered. This causes the graph to expand in size with empty values. For example, I have a graph that shows a count of customers by fiscal month and the first data available begins in July but the graph shows a value of 0 begining in Jan.
How can i fix this issue? I also see this when I try to drill through the hierarchy and see employees who do no have any customers because they do not report through whichever manager you decide to drill into. I have a top down drill down for hierarchy.
Can you drag your value column to the visual filters area and set it to "is not blank"?
Just tried but that did not work.
Has to be something wonky with whatever measure you are using. I created a very simple table:
| Year | Month | Count |
| 2014 | July | 5 |
| 2014 | August | 7 |
| 2014 | September | 8 |
| 2014 | October | 15 |
| 2014 | November | 22 |
| 2014 | December | 23 |
| 2015 | January | 25 |
| 2015 | February | 30 |
| 2015 | March | 33 |
| 2015 | April | 35 |
| 2015 | May | 40 |
| 2015 | June | 44 |
| 2015 | July | 48 |
| 2015 | August | 52 |
| 2015 | September | 53 |
| 2015 | October | 55 |
| 2015 | November | 56 |
| 2015 | December | 60 |
I created a column graph that had Year and Month in the axis and Count in the value. Drilling into Year only gave me back months in 2014. I then created a measure called "Measure" which was simply "Measure = COUNT(Customers[Count])" and that worked just fine as well.
Would need more information about your data, model, etc. Sample data is always helpful.
What about "not 0"?
Visualizations will plot every label for which your measures return a non-blank value. 0 counts as non-blank. Empty string counts as non-blank.
For you to be seeing everything displayed, your measures must be returning non-blanks for every label you choose. What measures are you using in these visualizations?
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