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 have a table with two choices 'FLOW_CONTEXT' and 'TEST_NAME'.
I want to let the user select one of these values using a slicer. I then want to have a calculated formula point to either the 'FLOW_CONTEXT' or the 'TEST_NAME' column in another table. There is a 1:1 relationship between the 'FLOW_CONTEXT' and the 'TEST_NAME' columns in the table.
Here is the column formula I have, which always defaults to false, even though the SELECTEDVALUE part of the IF statement does work (checked via a card):
COLUMN_POINTER = IF(
SELECTEDVALUE(TEST_NAME_FIELD[TEST_NAME_FIELD]) = "FLOW_CONTEXT",
CCD_BINNING_TEST_RESULTS_LAST_RANK[FLOW_CONTEXT],
CCD_BINNING_TEST_RESULTS_LAST_RANK[TEST_NAME]
)
I have tried doing this with a measure but measures only see non-categorical columns. Thx much.
Columns are only calculated at refresh time - they do not respond to slicers filters in this way. You cannot re-calculate a column based on a selected value in a table visual.
You need to transform your use-case into a measure-friendly approach.
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 want to count records in a certain condition and allow people to filter down to the relevant records, but selecting a measure value (which filters so it only counts certain rows) isn't cross-filtering others as I'd expect. Maybe ths isn't possible or maybe I'm just doing it wrong, but I'd appreciate help.
I have a single table:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wci4tLsnPTS1SMFTSUTJUitVBEjICChmgChljCplgajSFCMUCAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Customer Name" = _t, #"Ordered Recently" = _t]),
#"Change to INT" = Table.TransformColumnTypes(Source,{{"Ordered Recently", Int64.Type}}),
#"Change to T/F" = Table.TransformColumnTypes(#"Change to INT",{{"Ordered Recently", type logical}})
in
#"Change to T/F"
The result looks like this:
Customer Name Ordered Recently
Customer 1 True
Customer 2 False
Customer 3 False
Customer 4 True
Customer 5 True
I added two measures:
Count Total = COUNTROWS(Customers)
Count Recent = CALCULATE([Count Total], filter(Customers, Customers[Ordered Recently]))
If I put both measures in a bar chart and highlight the "Count Recent" measure, I'd expect it to know to filter other visuals based on the FILTER statement present in the measure, but that doesn't happen. Selecing this value doesn't impact anything else on my page (including just a count of rows).
The goal is to allow people to select a measure that counts rows and then to see the makeup of the data in those rows (select a count of late projects and filter other visuals to describe those late projects).
Is this possible or am I doing something wrong?
EXAMPLE:
Here's what it looks like now, with nothing selected:
When I select the black bar (the "Ordered Recently" measure), nothing changes right now - but here's what I want to happen (actually achieved with a slicer off screen on the T/F field):
I understand if my measure is a SUM of an integer field, it includes every row in the calculation - even when the row value is zero - and there's no way to filter my dataset based on that. However, in this case, my measure is actually using a FILTER on the dataset so that it only counts rows with a certain criteria set - given that, it should be able to filter the requested table, and then flow that filter through the rest of my dataset (the same way it would if I selected a bar from a chart where I had used that same field as the series - exactly how it works when I do this:
PBIX file to download as an example
No, I don't believe it's possible to make a measure value cross-filter other visuals based on filters within the measure definition.
You can, however, click on i.e. row header Customer 3 and it should cross-filter the other visuals to only include that customer. Any table column you set for the rows or columns of a matrix visual should behave this way.
Here's a hacky workaround:
Create a measure that shows the right values when you use the column you want to use as a filter as the Legend or Axis (like in your last image). For example, in this case, you could do this:
Total Customers =
VAR TF = SELECTEDVALUE ( Customers[Ordered Recently] )
RETURN
COUNTROWS (
FILTER (
ALLSELECTED ( Customers ),
IF ( TF, TF, TF || Customers[Ordered Recently] )
)
)
This behaves how you want, but isn't labeled as you want. To achieve that create a calculated column with the labels you want. For example,
Label = IF(Customers[Ordered Recently], "Ordered Recently", "Total Customers")
Then take Ordered Recently off the axis and put the Label column in the Legend box to get this:
Your Filter argument is really Filter(All(Customers, Customers[Ordered Recently])
You remove all filters on the Customer Table, and then specify Ordered Recently Column as the filter.
Try
[MeasureName] =Calculate([Count Total], All(Customer), Values(Customer[Recently Ordered]), Customer[Recently Ordered] = “True”)
I have this table in Power BI, But I can't do another table.
How I can do this?
Now the values are grouped by date (different fields have information under one date, next the same fields are grouped by another date)
I want the values in the columns to be grouped by field (one field has date information next to it).
Edit1:
I can't set Date on the 2nd place in the grouping
Because date is column, traffic,orders,rev,costs- are values
You need to set Date on the 2nd place in the grouping, after a field containing traffic, orders, etc.
EDIT:
You need to unpivot these columns first, for example, in PowerQuery. Use Edit Query. This results in transforming your 4 columns to 2: Attribute and Value. Attribute will be your first grouping parameter. 2nd will be Date. Value column goes to values.
If you need your source query somewhere else, you may create new query for this very report only. It is done by first right-clicking original one and selecting Reference Query, and the doing any edits. This will keep original query intact.