Powerapps Combine SortByColumns AddColumns GroupBy and If conditions - sorting

I am building a powerapp to facilitate the submission of comments in Excel. I need to combine two formulas. The first one uses SortByColumns, AddColumns, GroupBy and the second one are If statments that will filter the result of the first one depending on which entry has been selected in the drop-down menus.
The first drop down menu includes a list of clients and the second menu a list of resources.
The first formula on the Gallery Items is as follows:
SortByColumns(
AddColumns(
GroupBy(
clientcomment,
"ClientName",
"Comments"
),
"LastUpdateDate",
Text(
Max(
Comments,
UpdateDate
),
"[$-en-GB]dd/mm/yyyy"
)
),
"LastUpdateDate",
Descending,
"ClientName",
Ascending
)
The second formula, which I want to combine with the above code is as follows:
SortByColumns(
If(
CCGrByDSMDD.Selected.Result = "All" And CCGrByClientDD.Selected.Result = "All",
clientcomment,
CCGrByDSMDD.Selected.Result = "All" And CCGrByClientDD.Selected.Result <> "All",
Filter(
clientcomment,
ClientName = CCGrByClientDD.Selected.Result
),
CCGrByDSMDD.Selected.Result <> "All" And CCGrByClientDD.Selected.Result = "All",
Filter(
clientcomment,
DSM = CCGrByDSMDD.Selected.Result
),
CCGrByDSMDD.Selected.Result <> "All" And CCGrByClientDD.Selected.Result <> "All",
Filter(
clientcomment,
DSM = CCGrByDSMDD.Selected.Result And ClientName = CCGrByClientDD.Selected.Result
)
),
"UpdateDate",
Descending,
"ClientName",
Ascending
)
How do I combine the two formulas?

Related

PowerBi - How to show multiple total columns in Matrix?

I have a slicer from which I can select weeks that I want to show on a matrix. Currently, the matrix only shows the total column at the end of all columns basically summing up all the values.
But I want to show multiple total column (One after each month). Like after the End Of Weeks of one month a total column and so on.
You cannot simply create a Calculated column or Measure to solve this problem. Actually, you can use some logic with Calculated column, but there is a more efficient way. To achieve the goal, you have to create Calculated table based on your date column. You can use that logic to create any custom label for your visuals.
Before we start diving into deep DAX here, let's create a calendar table.
Calendar =
VAR _minSalesDate = CALCULATE( MIN( Sales[Date] ), ALL( Sales ) )
VAR _maxSalesDate = CALCULATE( MAX( Sales[Date] ), ALL( Sales ) )
RETURN
ADDCOLUMNS(
CALENDAR( _minSalesDate, _maxSalesDate ),
"Month", MONTH( [Date] ),
"MonthYear", MONTH( [Date] ) & "-" & YEAR( [Date] )
)
Now, when we have the table with our dates and additional fields, we can start creating a solution for this particular case.
Create a new calculated table as follows:
CustomCategories =
UNION(
SELECTCOLUMNS(
SUMMARIZE(
'Calendar',
'Calendar'[Date],
'Calendar'[Sorter]
),
"Key", 'Calendar'[Date],
"Label", 'Calendar'[Date],
"LabelSorter", 'Calendar'[Sorter]
),
ADDCOLUMNS(
SELECTCOLUMNS(
SUMMARIZE(
'Calendar',
'Calendar'[Date],
'Calendar'[MonthYear],
'Calendar'[Sorter]
),
"Key", 'Calendar'[Date],
"Label", 'Calendar'[MonthYear]
),
"LabelSorter", CALCULATE( MAX( 'Calendar'[Sorter] ), ALLEXCEPT( 'Calendar', 'Calendar'[MonthYear] ) ) + 0.5
),
SELECTCOLUMNS(
ADDCOLUMNS(
SUMMARIZE(
'Calendar',
'Calendar'[Date],
'Calendar'[Sorter]
),
"LabelSorter", CALCULATE( MAX( 'Calendar'[Sorter] ), ALL( 'Calendar' ) ) + 1
),
"Key", 'Calendar'[Date],
"Label", "Total",
"LabelSorter", [LabelSorter]
)
)
Note that the last part of above DAX adding Total is optional.
Once the table has been created, go to the Data view, select CustomCategories table, select Label column and sort the column by LabelSorter (you will find an option on the ribbon). Then go back to your Model view and set a relationship between CustomCategories and your Fact table on Date column.
When you have done with all stuff above, switch back to the Report view. Remove the date column from your table visual and replace it with the newly created Label from CustomCategories table.
Now you should see the desired results.
Hope that helps!
Regards,
Arek

DAX GENERATE & ALLNOBLANKROW functions lead to circular dependency

I'm trying to use a DAX function to generate a table in Power BI. I have a fact table with Opened & Closed date columns and there is a requirement to report at the end of each day/month/year how many items were backlogged.
I've got the table to generate successfully with the code below - essentially joining the date and fact tables, however I can't then link it back to my dimensions due to a circular dependency error.
Researching it online suggests that I need to remove the blank row from fact_task_transaction with the ALLNOBLANKROW function. Unfortunately this has no effect.
Can anyone help?
Backlog Per Day =
var res = SELECTCOLUMNS (
GENERATE (
fact_task_transaction,
FILTER (
ALLNOBLANKROW ( 'Date' ),
AND(
'Date'[Date] >= fact_task_transaction[Opened At Date],
'Date'[Date] <= fact_task_transaction[Closed At Date]
)
)
),
"Date", 'Date'[Date],
"Task ID", fact_task_transaction[Task Id],
"Assignee ID", fact_task_transaction[Assignee Id]
)
return res
try this code - it only uses fact_task_transaction, so the joins with dimensions shuld be working fine
Backlog Per Day =
SELECTCOLUMNS (
GENERATE (
'fact_task_transaction',
GENERATESERIES (
CALCULATE ( MIN ( 'fact_task_transaction'[Opened At Date] ) ),
CALCULATE ( MAX ( 'fact_task_transaction'[Closed At Date] ) ),
1
)
),
"Date", [Value],
"Task ID", fact_task_transaction[Task Id],
"Assignee ID", fact_task_transaction[Assignee Id]
)

DAX Power Pivot: "= CONCATENATEX(CALCULATETABLE(" how to avoid duplicates?

I've seen similar posts before, but none of the solutions worked for me as my formula is complex and includes filters.
I'm trying to create a new column in a table, concatenating all matches from a column in a different table.(e.g. Order table concatenating all product names associated with a given order)
Full formula: =
CONCATENATEX (
CALCULATETABLE (
RoW_SIC_table,
FILTER (
RoW_SIC_table,
RoW_SIC_table[Excel Company ID] = Row_main[Excel Company ID]
),
FILTER ( RoW_SIC_table, NOT ( ISBLANK ( RoW_SIC_table[Broad] ) ) )
),
RoW_SIC_table[Broad],
", "
)
I want CONCATENATEX to only concatenate unique values, and I haven't made it work with either DISTINCT or VALUES. Can you help me?
How about like this?
Full formula: =
CONCATENATEX (
CALCULATETABLE (
DISTINCT ( RoW_SIC_table[Broad] ),
FILTER (
RoW_SIC_table,
RoW_SIC_table[Excel Company ID] = Row_main[Excel Company ID]
)
),
RoW_SIC_table[Broad],
", "
)
I used as reference this:
e.g. Order table concatenating all product names associated with a
given order
So what came to my mind is the following model:
SIC Table
Main Table
"Data Model"
Result
ProductsListedByOrderIFBroadISNOTBLANK=
VAR COrderID=SIC[OrderID]
VAR PIDWLineage=
SELECTCOLUMNS(
CALCULATETABLE(SIC,
ALL(SIC), SIC[OrderID]=COrderID, NOT(ISBLANK(SIC[Broad]))),
"ProductID", SIC[ProductID], "ProductName", RELATED(Main[ProductName]))
RETURN
CONCATENATEX(PIDWLineage, [ProductName], ",")

Joining the columns of the sheet using google sheets formula

I have a 2 sheets
Sheet1 and Sheet2
I want to join the columns based on their #LP values. Which I am successful using the formula
=ArrayFormula(IFERROR(
{
Sheet1!A1:G,
vlookup(Sheet1!A1:A, {Sheet2!A1:A, Sheet2!B1:H}, {2,3,4}, false)
},"")
)
https://docs.google.com/spreadsheets/d/1I-7OYQx6eZ3a1AbxhBgOOpa632XNMh-gxKmGymnpxQ4/edit#gid=1245959930
I also want to skip the columns in result if the row names dynamically detrmining that wont begin with $ symbol.
The expected columns are shown in Green color as shown in the LP_QUERY1 sheet.
You can use MATCH and FILTER to get the columns you want.
=ArrayFormula(IFNA(
{
vlookup(
Sheet1!A1:A,
Sheet1!A1:G,
ArrayFormula(
MATCH(
FILTER(
Sheet1!1:1,
(LEFT(Sheet1!1:1,1)="$")+(Sheet1!1:1="#LP")
),
Sheet1!1:1,
0
)
)
,0
),
vlookup(
Sheet1!A1:A,
Sheet2!A1:H,
ArrayFormula(
MATCH(
FILTER(
Sheet2!1:1,
LEFT(Sheet2!1:1,1)="$"
),
Sheet2!1:1,
0
)
),
0
)
})
)

DAX Default to last value with data

Presently my data returns:
What I need it to do is if the current month has 0's, it will default to the last months value with data:
I know this can be done with nested IF statements, but is there a better way?
UPDATED WITH #TPD SUGGESTION
The results from #TPD suggestion yield:
With measure defined as:
IF([Land Dev Alloc] = 0, CALCULATE([Land Dev Alloc],TOPN(1, CALCULATETABLE(Hyperion,FILTER(ALL(Hyperion), [Land Dev Alloc]>0)),Hyperion[DimDateID],DESC)),[Land Dev Alloc])
Where Hyperion is the main fact table that measure Land Dev Alloc pulls from
I'm not sure if this is the best way but I've recently solved a similar problem like this, assuming you have a Date table and a Value table joined with a relationship:
CurrentOrLastValue:=
CALCULATE (
-- EXTRACT VALUE FROM ROW
FIRSTNONBLANK( 'value'[value], 1 ),
-- FIRST ROW FROM YOUR 'VALUES' TABLE REDUCED TO THOSE BEFORE THE CURRENT CELL DATE
-- ORDERED BY DATE DESC
TOPN (
1,
CALCULATETABLE (
'value',
FILTER
(
ALL( 'date'[date] ),
'date'[date] <= MAX( 'date'[date] )
)
),
'value'[date],
DESC
)
)
Data tables and Pivot Table
Measure
Relationships
UPDATE TO SHOW MEASURE RESULT NOT RAW VALUE
Add a new core measure (doubling values to show a difference):
TotalValue:=SUM('value'[value]) * 2
Add a new measure to show desired output:
CurrentOrLastValueMeasure:=CALCULATE (
[TotalValue],
TOPN(
1,
CALCULATETABLE(
'value',
FILTER(
ALL( 'date'[date] ),
'date'[date] <= MAX( 'date'[date] )
)
),
'value'[date],
DESC
)
)
New measure in pivot table:
UPDATE TO SHOW LAST NON-ZERO VALUE WHEN MEASURE RETURNS ZERO
LastNonZeroMeasure:=
IF( [TotalValue] = 0,
CALCULATE (
[TotalValue],
TOPN(
1,
CALCULATETABLE(
'value',
FILTER(
ALL( 'value' ),
[TotalValue] > 0
)
),
'value'[date],
DESC
)
),
[TotalValue]
)
TotalValue not being doubled anymore. Two data points for 4th Jan to show the measure's aggregation working.
UPDATE TO IGNORE DATES AHEAD OF CELL DATE
Try filtering the dates also...
LastNonZeroMeasure:=IF( [TotalValue] = 0,
CALCULATE (
[TotalValue],
TOPN(
1,
CALCULATETABLE(
'value',
FILTER(
ALL( 'value' ),
[TotalValue] > 0
),
FILTER(
ALL( 'date' ),
'date'[date] < max( 'date'[date] )
)
),
'value'[date],
DESC
)
),
[TotalValue]
)
Ended up being far more simple than originally thought:
MeasureOne BALANCE YTD:= VAR LastNoneblankDate = CALCULATE(max('Date'[DimDateID]),FILTER(ALL('Date'),'Date'[Fiscal_Year] = MAX('Date'[Fiscal_Year])),FILTER(ALL(FactTable),[MeasureOne] > 0)) return IF([MeasureOne]=0, CALCULATE([MeasureOne],FILTER(ALL('Date'),'Date'[DimDateID] = LastNoneblankDate)), [MeasureOne BASE])
Where MeasureOne Base:
MeasureOne BASE:= VAR LastNoneblankDate = CALCULATE(max('Date'[Date]),FILTER(ALL(FactTable),[MeasureOne] > 0)) return IF(HASONEVALUE('Date'[Date]),[MeasureOne], CALCULATE([MeasureOne],FILTER(ALL('Date'),'Date'[Date] = LastNoneblankDate)))
the main issue was setting ALL(FactTable) instead of jut FactTable and handling the cases with

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