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.
Related
I am stuck while dynamically forming a new column based certain WHERE clause from another Table in PowerBi. To give more details, let's say I have a table with item numbers associated with a Customer Name. In another table, I have to add a new column, which will dynamically add the item numbers associated with a particular customer and append as a query parameter to a base url.
So, my first table looks like this:
The second table that I want is this:
The query parameter value in the URL, has to be dynamically based on a SELECT query with a WHERE clause and pick up the ItemNumbers using the Customer field which is common between both. So, how can this be done in PowerBi? Any help would be really appreciated :)
I have one table in my model "TableRol" if I want to summarize my Date as the string I can use CONCATENATEX;
URL = CONCATENATE(CONCATENATE("http:\\mysite.com\parametersHere\getitem?='",CONCATENATEX(VALUES('TableRol'[Date]), 'TableRol'[Date],";")),"'")
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 have my data source something like below.
I need to show output in the report as below.
I tried using the unpivot column and getting something like this, how to count the occurrence value of each Business value.
Plot following mesure against Value column (from your unpivot table):
Business Occurance = COUNTROWS('your unpivot table')
We have to remove the Attribute column as the next step to Unpivot. Then my table should be looks like this.
Now create a new table with following Dax function, let's say the current table as Business Data (Your Unpivot table)
Occurrence Table = DISTINCT('Business Data')
Now end result table should look like this,
You can make use of this table for your table visual in the report.
Note: You can add n-number of rows and column into your source table and this logic will do magic to get the correct result.
I have marked two places first marked place you have to add Value column then click second marked place one dropdown value is open click count menu
I have imported a JSON file into PowerBI and it contains a column in which the values are of type "List". I am looking to expand that column into multiple columns.
Specifically, the data contains a Sprint Name, the start date and the end date of the sprint, along with some other values associated with each sprint.
Trying to use "Expand to new rows" duplicates each sprint instance, creating a table that looks like this, duplicating each sprint instance multiple times for each associated value:
Sprint Name Value
JAN(S1Dev) 2019-01-01
JAN(S1Dev) 2019-01-13
JAN(S1Dev) {attribute}
JAN(S1Dev) {attribute}
JAN(S2Dev) 2019-01-14
JAN(S2Dev) 2019-01-31
JAN(S2Dev) {attribute}
JAN(S2Dev) {attribute}
FEB(S1Test) 2019-02-01
FEB(S1Test) 2019-02-15
... ...
I would like to do something similar to the "expand" feature, which instead creates a new column with each attribute rather than a new row. This is currently vastly increasing the size of my table for no reason, while also making the data practically un-useable. Any help would be appreciated, cheers!
I have found a very simple solution to this, but as it took me some time to figure it out I will answer my own question instead of deleting it to help others in the future...
Upon importing the JSON data into PowerBI first select "Convert to Table" to view the data as a table with editable properties.
Next, click the arrows pointing away from each other at the top of the column of Lists, and select "Extract Values".
Select a delimiter to use for concatenating values, I am choosing a comma since I know that the data contained within the list does not have any commas in it. If your data contains commas within it, choose something else. Similarly, if your data contains one of the delimiters, do not choose that as the delimiter.
It should now display a comma-separated list where it previously displayed "List" in orange text.
Now, right-click on the column and select "Split Column" then choose "By Delimiter"
Select the delimiter that you previously chose, and under "split at" select "Each occurrence of the delimiter" then click OK.
Your column should now be split into multiple columns based on the list!
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