I have a simple data structure where I have a bunch of indicators that are assigned an indicator key and name, and indicator values that correspond to those indicators say (indicator_name = sales, key = 48, indicator_value =56000). I would like to write a case statement equivalent in POWERBI so as to create a measure for sales. in tableau this would be as simple as case indicator key when 48 then indicator_value else 0 end
You can simply create a new column in your table by clicking on the menu as shown below-
The DAX code for your new column will be as below-
test_column =
if (
your_table_name[indicator key] = 48,
indicator_value,
0
)
Related
very new to Power, so sorry for asking a silly question.
I've got one table with required skills for a particular role, and a second table with a list of users and self-assessment for each of those skills.
Table1 has a 2 columns [Question] and [Required Score]
Table2 has 3 columns: [User], [Question] and [Score]
I'm trying to write a DAX formula to use as a filter: I want to return only those users where their own score is equal to or greater than the required minimum.
My current Measure is: = Table1[Question] = Table2[Question] && Table1[Required Score] <= Table2[Score]
Ask I'm typing the formula:
the tables are not being recognised
all [fields] are underlined in red
error message "A single value for column 'Question' in table 'Table1' cannot be determined.
Table1[Question] and Table2[Question] Data type = text, Format = Text, Summarization = Don't summarize, Data Category = Uncategorized
Table1[Required Score] and Table2[Score] Data type = Fixed decimal number, Format = Decimal number, Summarization = Don't summarize, Data category = Uncategorized
Can someone please explain what I'm doing wrong and point me in the direction of a fix?
Based on your tables, I'd do the following
In your Relationships, link the Question column, in Table1 & Table2
In DAX, add a new column to Table2; the formula will be something
like: Score >= RELATED(RequiredScore) i.e. a Boolean
In your visual, filter Table2 on this new column = True
I have a situation in which I am using Microsoft Power BI. I have a source table (called Couriers), with a range of weights (MinWeight to MaxWeight) for any given combination of Courier and Country, along with the Freight value.
I need to develop a new TABLE (called Couriers_FlattenedData) in Power BI , in which, I get a row for each value between the MinWeight and MaxWeight.
For example, if the minimum weight to maximum weight reads as 0 and 5 for FedEx Australia, I need 5 rows from 1 to 5.
I need these 4 columns in the new Couriers_FlattenedData table - Courier, Country, Weight, Freight. The Weight column is converted to rows based on the range in the source table.
I am trying to derive the new table, in both DAX as well as using the backend Power Query Editor (using M language). I would like to get both ways to develop this new table.
I tried something like this in DAX, but not able to get a solution.
Couriers_FlattenedData = SELECTCOLUMNS (
GENERATE (
'Couriers', GENERATESERIES (
CALCULATE(DISTINCT(Couriers[MinWeight])+1),
CALCULATE(DISTINCT(Couriers[MaxWeight]))
)
),
"Courier", Couriers[Courier],
"Country", Couriers[Country],
"Freight", Couriers[Freight]
)
Can someone correct the above DAX expression, which misses the Weight column ? Or even provide a solution using variables?
And also a step by step solution using the Power Query Editor of Power BI ?
DAX Solution:
Couriers_FlattenedData = SELECTCOLUMNS (
GENERATE (
Couriers,
GENERATESERIES(Couriers[MinWeight] + 1, Couriers[MaxWeight])
),
"Courier", Couriers[Courier],
"Country", Couriers[Country],
"Weight", [Value],
"Freight", Couriers[Freight]
)
Query Editor solution:
Duplicate the Couriers table (in the Query Editor), then go to Advanced Editor of the Query Editor, then paste this:
let
Source = Couriers,
WeightList = Table.CombineColumns(Source,{"MinWeight", "MaxWeight"},each {_{0}+1.._{1}},"Weight"),
ExpandWeightList = Table.ExpandListColumn(WeightList, "Weight"),
ChangedType = Table.TransformColumnTypes(ExpandWeightList,{{"Weight", Int64.Type}})
in
ChangedType
Rename the table as Couriers_FlattenedData
In Power BI I'm trying to combine and get the unique values of pages in a new table. I need to filter one of the columns, based on a value of another column in that same table. So i want to do something like
FILTER(VALUES('Table1'[URL]), 'Table1'[Correct] = "Yes"
But it's not working, because I can only filter based on calculations, not columns.
The complete line that I have now and is working is:
All pages = FILTER(
DISTINCT(UNION(VALUES('Table1'[URL]),VALUES(Table2[Complete URL]),
VALUES('Table3'[URLs]))), [URL] <> BLANK())
How can I add a filter to one of those tables, based on another column of that table?
You can just replace FILTER with CALCULATETABLE:
CALCULATETABLE(VALUES('Table'[URL]), 'Table'[Correct] = "Yes")
If you need to count the values, just wrap it into COUNTROWS:
Measure = COUNTROWS( CALCULATETABLE(VALUES('Table'[URL]), 'Table'[Correct] = "Yes"))
The interaction between two slicers in Power BI gives me output with AND condition.
Example: If I selected the year 2020 and company ABC, the output would be all the data from company ABC in the year 2020.
But I want the two slicers to work with OR condition.
I have used this Dax
Include = (MAX(Table1[Column1]) = SELECTEDVALUE(Col1[Column1])) +
(MAX(Table1[Column2]) = SELECTEDVALUE(Col2[Column2]))
But the problem with above Dax I have not selected anything in slicer ( ALL by default) it is showing me a blank visual. What am I doing wrong?
let me guess you have a table "or_slicer_main_table" with Year, Company and some other columns. Now create 2 new table where the first one will contain the distinct list of Year from table "or_slicer_main_table" and the second one will contain distinct Company list from that same table.
New custom Table 1:
or_slicer_year_list =
SELECTCOLUMNS(
'or_slicer_main_table',
"YEAR", 'or_slicer_main_table'[year]
)
New custom Table 2:
or_slicer_company_list =
SELECTCOLUMNS(
'or_slicer_main_table',
"company", 'or_slicer_main_table'[company]
)
Do not establish any relation between those 3 tables.
Step-1: Create Year slicer using the newly created "or_slicer_year_list" table.
Step-2: Create Company slicer using the newly created "or_slicer_company_list" table.
Step-3: Create these following 5 measures in your table "or_slicer_main_table"
1.
year_current_row = max('or_slicer_main_table'[year])
2.
year_selected_in_slicer = SELECTEDVALUE(or_slicer_year_list[YEAR])
3.
company_current_row = max('or_slicer_main_table'[company])
4.
company_selected_in_slicer = SELECTEDVALUE(or_slicer_company_list[company])
5.
show_hide =
if(
[year_selected_in_slicer] = [year_current_row]
|| [company_selected_in_slicer] = [company_current_row],
1,
0
)
Now you have all instruments ready for play. Create your visual using columns from the table "or_slicer_main_table"
Final Step: Now just add a visual level filter for the measure "show_hide" and set value will show only when "show_hide = 1".
The final output will be something like below image-
Can you try using "IN VALUES" instead of "SELECTEDVALUE"
So your DAX should be
Include = (MAX(Table1[Column1]) IN VALUES (Col1[Column1])) +
(MAX(Table1[Column2]) IN VALUES (Col2[Column2]))
SELECTEDVALUE function returns the result only if single value is selected in slicer in case of multiple selection it will return Blank(). Thats in the case when nothing is selected (which is similar to all selected) has multiple values in set and so SELECTEDVALUE fucntion will return Blank(). This can be handled by using "IN VALUES" function which can return a set of all selected values.
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.