I have 2 tables sourced by direct query to sql.
Table1 contains 3 columns "Fruit", "Number", and "Date".
Table2 contains 2 columns "Country", and "Fruit".
Table2 is linked to Table1 with a 1->*(Many) link from Table2[Fruit] to Table1[Fruit].
I want to create a new column in Table2, containing the average of "Number" for a specified range of dates.
Any ideas of how this can be done?
Add a measure like AverageNumber = SUM(Table1[Number])/COUNT(Table1[Date]). The date range comes automatically from your filters/slicers, and the average will show correctly for a particular fruit due to the relationship you have added.
Related
I have multiple data tables in a Power BI report and am hoping to create a new summarized table with new column and selected columns and rows from other data tables. Each data tables are quite large with different data elements so it's difficult to append the tables together to form one big table. Below is a simplified version just to illustrate the issue and what i wanted to achieve:
ID 1 Name is Orange
ID 2 Name is Apple
The last column: Sum Value (Agg.) in each table are Measures.
The result table I am trying to get is like below:
So basically I wanted to use Table 1 and Table 2 to create a new summarized Table with an added column 'Item Name' replacing the 'ID' column and the 'Sum Value' column. So far I've tried the Summarize and AddColumn function but couldn't get Measure Sum Value to the table.
If anyone can help, that'd be great!!
Thankyou
Michelle
This reshaping should really be done in PQ but if you insist on DAX, here you go.
Table =
VAR a = ADDCOLUMNS(
SUMMARIZE(Orange, Orange[Sum Value (Agg.)]),
"Item Name",
"Orange"
)
VAR b = ADDCOLUMNS(
SUMMARIZE(Apple, Apple[Sum Value (Agg.)]),
"Item Name",
"Apple"
)
RETURN UNION(a,b)
I am trying to determine if a date is between 2 other dates that are is 2 different tables using
Power BI.
For simplicity, here is the model that I have :
TableB is the bridge table between TableA and TableC.
I have an inactive relationship between tableA and TableC.
I have tried the following logic to check if TableC.createdDate is between TableA.startDate and TableA.endDate :
Create a calculated column in TableC, but I was not able to access columns in TableA
Create a calculated column in TableB, but I was having blank results, which is not suppose to happen
Have you tried using USERELATIONSHIP to force your calculated column to use the inactive relationship to TableA? documentation link
So something like
CALCULATE(
{{created date is >start and <end}},
USERELATIONSHIP('TableA'[TableB_ID],'TableC'[TableB_ID]
)
I've looked all over and can't find a way to do this.
In the table, I have all postcodes throughout the UK and a calculated column that concatenates from another table the products' that have been purchased in that location.
I need to filter the table to hide rows where the value selected in the slicer is in the concatenated column. I think this needs to be a measure and have tried using CONTAINSSTRING but nothing seems to be working.
Latest measure that I have tried is:
=IF(CONTAINSSTRING([Concatenated Values],[Selected Slicer Value]),"Hide","Show")
Does anyone have any ideas?
Example tables and expected results:
You can link the "another table" (the one with the products (not concatenated) per area) to the Area table.
Just change the filter option to: cross-filter direction: both
Then you can use it in your slicer.
Follow these below steps to achieve your requirement.
Let-
Your Slicer Table name: Table1
Your Details table name: Table2
Step-1: Create this following measure in Table2
show_hide_this_row =
FIND(
SELECTEDVALUE(Table1[products]),
MIN(Table2[products]),
,
0
)
Step-2: Add visual level filter using measure "show_hide_this_row" as below-
The output will be as below-
This functionality only works perfect when single selection is enabled in your slicer.
It's probably extremely simple but I can't find an answer. I have created a new column and I would like to use the DAX syntax to fill the column with hardcoded values.
I can write this: Column = 10 and I will get a column of 10s but let's say my table has 3 rows and I would like to insert a column with [10, 17, 155]. How can I do that?
Try using DATATABLE function
Table = DATATABLE("Column Name",INTEGER,{{10},{17},{155}})
You can also put more columns with their own data if you want to, check this
https://learn.microsoft.com/en-us/dax/datatable-function
Assuming your table has a primary key column, say, ID, you could create a new table with just the column you want to manually input.
ID Value
---------
1 10
2 17
3 155
You can create this table either through the Enter Data button or create it using the DAX DATATABLE function as #Deltapimol suggests.
Once you have this table you can create a relationship to your existing table in the data model at which point you can either use this new table in your report to get the values you need or if you really need them in the existing table for some reason, you can pull them over using the RELATED function in a calculated column.
Table1 = GENERATESERIES(1, 3)
Table2 = DATATABLE(
"ID", INTEGER,
"Value" INTEGER,
{{1, 10},{2, 17},{3, 155}}
)
Now you can create a relationship from Table1 to Table2[ID] and then define a calculated column on Table1 as follows:
ValueFromTable2 = RELATED(Table2[Value])
If you don't want to create a relationship, then you could use the LOOKUPVALUE function instead in a calculated column on Table11.
I would like to create a table to compare Month To Date (MTD) Vs YTD Sales data metrics
I am using two queries:
1st query = YTD Sales data (Two fields: Sales and Quotes)
2nd query = MTD Sales Data (Two Fields: Sales and Quotes).
Each query has the same field names, just different data
I would like to output a table like the following
How to I create the above table? At the moment I can only create a table like the following:
The latter 1x4 table only works if I appropriately name the fields. But definitely isn’t what I want, because with enough fields, the table could go on forever.
Any help would be appreciated
In the query editor, create a label column for each table that labels what they are and then append the two tables together so you get something like this:
Then you can create a matrix visual with the Label column in the Columns field and the Sales and Quantity columns in the Values area.
Make sure you've switched "Show on Rows" to "On" under the Format > Values section of the Visualizations pane.