I have a simple CSV data set such as this.
ID,MainCategory,SubCategory,Type,Value
1,E,E1,Demo,5
2,N,N3,Install,2
3,E,E1,Demo,4
4,E,E2,Install,7
5,D,D1,Install,3
6,S,S2,PM,4
7,N,N2,Install,7
8,N,N2,Demo,1
9,E,E2,Demo,2
10,D,D2,Install,6
11,D,D3,PM,4
12,S,S1,PM,8
13,N,N1,Install,5
14,S,S3,Install,8
15,S,S1,Demo,9
16,E,E3,Demo,5
17,N,N2,Install,3
18,E,E2,PM,6
19,D,D2,PM,6
20,N,N3,Demo,6
21,S,S2,Demo,7
22,E,E3,Install,2
23,S,S1,Install,4
24,S,S2,PM,8
25,D,D1,Install,5
In my Power BI Desktop, I'd like to load this into a table, and conditionally format the Value column based on whether the value in each row is greater than or less than the average for the currently selected data set.
For instance, the average of Value considering the entire table is 5.08, so if there are no filters applied (as in, all my slicers are set to select nothing), I'd like all rows whose Value is 6 or more to be background colored in one color, and the others in another color. For this, I created two measures like so:
AvgOfVal = DIVIDE( SUM(G2G[Value]), COUNTA(G2G[ID]) )
BGColor = IF(SUM(G2G[Value]) > [AvgOfVal], "Light Pink", "Light Blue")
Then I tried to apply the BGColor measure for conditionally formatting the background, but this doesn't work as expected, and instead produces the result below.
I realize that this is due to the fact that the measure is calculated per row, so when conditional formatting is applied, as seen in the AvgOfVal column in the table, it calculates average per row instead of for the entire data set. How can I calculate a measure that takes into account the entire data set (considering slicers), and do the conditional formatting as I need.
Please keep in mind that if a user were to select a slicer filter (say, MainCategory = D), then I want the conditional formatting to reflect this. So in this case, given that AvgOfVal = 4.80 for MainCategory = D entries, I'd like all rows whose Value >= 5 to be in one color, and others in another color.
I realize that this is due to the fact that the measure is calculated per row
Yes. The key is understanding how that happens. When the measure is calculated a "context transition" happens and the current row is added to the filter context.
So what you want is a calculation that removes the row filter that was added in the context transition. So you need ALLSELECTED(), which does precisely that. eg
AvgOvVAl = CALCULATE( AVERAGE('data'[Value]), ALLSELECTED() )
Removing the "innermost" filter which in this case is the filter on the row, but leaving all other filters, ie filters added on the report, page, visual, or filters coming from interactions with other visuals like slicers.
I'm beginning to think that what I'm looking for isn't actually possible.
I have two datasets - one of Titles and one of Keywords. Only one column from each is relevant to this query - Titles[Title] and Keywords[Keyword]. So pretty straightforward data. Titles has around 2 million rows, and Keywords will eventually have ~500-1000.
I would like to display a slicer of Keywords[Keyword] values, which will filter the Titles dataset where Titles[Title] contains one of the selected Keywords[Keyword] values.
I tried creating a DAX calculated column on Titles like below -
Matches = IF(SUMX(FILTER('Keywords','Keywords'[Keyword] <> ""),FIND(UPPER('Keywords'[Keyword]), UPPER(Titles[Title]),,0)) > 0,1, 0)
I then apply a report level filter for Matches >= 1. This works for all keyword values, but is not aware of the selection in the slicer.
I tried changing it to use ALLSELECTED('Keywords'[Keyword]) as the first argument passted to FILTER, but this doesn't seem to have any effect.
As a test, I created a Calculated Column and a Measure with the exact same DAX -
CONCATENATEX(VALUES(Keywords[Keyword]), Keywords[Keyword], ",")
This displays the slicer selection delimited by commas for the measure, but not for the column. Since I want to calculate this per row and filter the report based on this, a measure isn't suitable.
Is there any other way I can refer to the filtered Keywords[Keyword] in my calculated column? Or is there a way that a Measure could actually be used to achieve this? Or is there a completely different approach that I could try?
I use Power BI to create reports and visuals for large enterprise clients.
I have an interesting request from one of my clients: they would like to be able to see a summary of all filters that are applied to a given report. I used the ISFILTERED() function to create a card visual that lists the dimensions that are filtered, but they would like to be able to see which values are being shown. This works just fine when they have sliced or filtered for just one value, but how can I show when more than one is selected? My DAX is below:
Applied Filters =
var myvalues = VALUES(mytable[dimension_column])
return
IF(ISFILTERED(mytable[dimension_column]) = FALSE(),
"Not filtered",
"Column Name:" & UNICHAR(10) & mylist)
When only one value is selected in the slicer, the output is:
Column Name:
Selected Value
Obviously, when more than one value is selected in the slicer, variable mylist will have more than one value and the function fails. My question is, how can I convert the column myvalue to a list in DAX, so I can output each and every value?
What I want to get is:
Column Name:
Selected Value1,
Selected Value2,
etc.
Thank you!
One possibility is to concatenate all the values into a single string.
For example, you'd replace mylist with the string
CONCATENATEX(VALUES(mytable[dimension_column]), mytable[dimension_column], UNICHAR(10))
You're really only returning a single value for the measure, but it looks like a column.
Another approach is, instead of using a card, to simply create a table visual that just has mytable[dimension_column] for the values. This table will automatically filter as you adust slicers.
I am new to power bi and would require your help to sort out below issue which I am facing.
Basically I am taking three columns into consideration as below:
Question: I would like to remove duplicate values from above table based on conditon "
Equal value for "Time" ,"ID" and Absolute difference in "Time spent" is lower or equal than 1"
as you can see in the image Rows highlighted falls in this category.
I would like to get these below rows removed based upon condition.
Question: I would like to remove duplicate values from above table based on conditon "
Equal value for "Time" ,"ID" and Absolute difference in "Time spent" is lower or equal than 1"
as you can see in the image Rows highlighted falls in this category.
I would like to get these below rows removed based upon condition.
I am able to perform this in excel by making us of a fourth column with formulae =IF(AND(A3=A2,B3=B2,ABS(F3-F2)<1),"problem",0) and then filtering out the rows marked as probelm. Please help!!
Regards
Mahi
I bet the suggestion from #Alexis Olson works just fine, but since you specifically mentioned the Query Editor, here's how I would do it there:
Have your data loaded like below, and just accept the changes made under Changed Type:
Don't worry about the other steps under the Query Settings. We'll get to that eventually.
Select Add Column and click Index Column, so that you get this:
Select Add Column, click Custom Column and insert this little formula in the appearing dialog box Table.AddColumn(#"Added Index", "Custom", each #"Added Index"[Time Spent]{[Index]}-#"Added Index"[Time Spent]{[Index]-1}):
Click OK, and make sure that you're getting this:
I think this step is a little weird, but you'll have to click 'Table' there in the column:
You will get an Error message in the first row, but you can remove that by right-clicking that column, and clicking Remove Errors:
Now you can click the drop-down menu in the Custom Column, select Number Filter and Does Not Equal
And insert 0, or select 0 from the drop-down menu in the dialog box:
This is it, your required numbers should now be filtered away:
Note, however, that this procedure comes at a cost since you're losing the first value due to the first step in the indexing. If the rest of this is something you can use, I can see if we can fix that last little part as well.
You can pick a representative [Time Spent] value from each unique set of rows by taking a max or min over the list of "duplicate" values. Here's the formula for such a custom column, which I'll call [Min Time]:
= List.Min(
Table.SelectRows(#"Previous Step",
(C) => (C[Time] = [Time] and
C[ID] = [ID] and
Number.Abs(C[Time Spent] - [Time Spent]) < 1)
)[Time Spent])
Once you have this custom column, you can group by [Time], [ID], and [Min Time] to roll up the duplicates and then rename the [Min Time] column to [Time Spent].
I am using Power BI to bring together data from several systems and display a dash board with data from all of the systems.
The dashboard has a couple of filters which are then used to display the data relating to one object across all systems.
When the dashboard is first loaded and none of the filter have been selected, the data cards display information from all rows in the table.
Is there a way to make a data card only display one row of data?
or
Be blank if there are more than one row of data?
There's no direct way to look at the number of rows in the visual, count them, and do something different if there's more than 1.
That said, there are a few things you can do.
HASONEFILTER
If you have a specific column in your table that, when selected, filters your results to a single row, then you can check if there's a filter on that column using HASONEFILTER. (If you have multiple alternative columns,any of which filter to a single row, that's ok too.)
You could then create a measure for each column that tests HASONEFILTER. If true, return the MAX of the column. (The reason for MAX is because measures always have to aggregate, but the MAX of a 1-row column will be the same as the value in that column.) If false, return either BLANK() or an empty string, depending on your preference.
E.g.
ColumnAMeasure = IF(HASONEFILTER(Sheet1[Slicer Column]),MAX(Sheet1[COLUMN A]), "")
ColumnBMeasure = IF(HASONEFILTER(Sheet1[Slicer Column]),MAX(Sheet1[COLUMN B]), "")
where Sheet1 is the name of the table and "Slicer Column" is the name of the column being used as a slicer
HASONEVALUE
If you have multiple columns that could be used as filters in combination (meaning that having a filter applied on "Slicer Column" doesn't guarantee only 1 row in the table), then rather than testing HASONEFILTER, you can test HASONEVALUE.
ColumnAMeasure = IF(HASONEVALUE(Sheet1[COLUMN A]),MAX(Sheet1[COLUMN A]), "")
ColumnBMeasure = IF(HASONEVALUE(Sheet1[Column B]),MAX(Sheet1[COLUMN B]), "")
Notice that HASONEVALUE tests the current column you're trying to display, rather than a slicer column like HASONEFILTER.
One side-effect of HASONEVALUE is that, if you're filtered to 3 rows, but all 3 rows have the same value for column A, then column A will display that value. (Whereas with HASONEFILTER, column A would stay blank until you're filtered to one thing.)
Low Tech
Both answers above depend on a measure existing for every column you want to display, so that you can test whether to display a blank row or not. That could become a pain if you have dozens of columns.
A lower-tech alternative is to add in an additional row with blanks for each column and then sort your table so that that row always appears first. (And shorten your visual so only the top row is visible.) Technically the other rows would be underneath and there'd be a scrollbar, but at least the initial display would be blank rather than showing a random row.
Hopefully something here has helped. Other people might have better solutions too. More information:
HASONEFILTER documentation: https://msdn.microsoft.com/en-us/library/gg492135.aspx
HASONEVALUE documentation: https://msdn.microsoft.com/en-us/library/gg492190.aspx