I'm working on achieving the following data transformation/wrangling within Power Query but can't seem to get there on my own. i have read a lof of different questions and answers on the forum but it seems just a bit beyond my grasp.
I have a table which has the ticker of a specific currency in the first column.
There is a second column with the date and time when a certain event, related to that specific currency, happens. This second column is basically the different 5-minute intervals which exist on any given day.
Finally there is a third column which describes the magnitude of the event.
The table therefore looks like this
What I would like to do in power Query is transpose the uniques name of the currencies as the first row of a new table. The first column of this table would be the largest time interval for any given currency. In this case, as you can see in the data I am attaching, the largest timeseries would be that of the currency ETH. Using the longest calendar as our first column I would then like to place the values described in item 3 above as rows in the new table.
The new layout would look like this
My steps to transform the raw data in the first table are detailed in this image. Basically just expanding a JSON file and getting all the data I need into that first format which I described previously.
What I then do is:
Pivot using the first column
Transpose
That gives me a whole bunch of new columns. Way more than I want. Any idea what I can do differently?
In powerquery,
click select pair column
Transform .. pivot column .. values column: basis advanced options: do not aggregate
code:
#"Pivoted Column6" = Table.Pivot(YourPriorStepName, List.Distinct(Source[pair]), "pair", "basis", List.Sum)
output:
Related
I'm quite new to using pivot tables and data models, so I don't even know if what I want to do is possible. I have a pivot table (PivotTable1) and its source (Table 25) and I would like to add a hundred or so measures which are listed in the TableCombinations.
For example, I entered the two first measure in orange, but they are not linked to TableCombination and entering them all one by one would be quite long. Each measure is for a distinct Sum wfn column that sums all other rows multiplied by a coefficient. The TableCombinations table simply states the coefficient to be used for each column. For the first three rows, these are my measure formulas :
sum wf1=1.4*Table25[Sum of wD]+0*Table25[Sum of wL]+0*Table25[Sum of wS]+0*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
sum wf2=1.25*Table25[Sum of wD]+1.5*Table25[Sum of wL]+1*Table25[Sum of wS]+0*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
sum wf3=1.25*Table25[Sum of wD]+1.5*Table25[Sum of wL]+0*Table25[Sum of wS]+0.4*Table25[Sum of wW]+0*Table25[Sum of wWSOUL]
...
Two questions :
Is there a way to link the tables so that any change made to TableCombination would then be updated in the pivot table measures?
Is there a way to generate all the of the measures without typing them in one by one.
You should be able to use just one DAX measure to do this, using the CROSSJOIN function.
Don't set up a relationship between the Tables, and drag # to the Columns area of the PivotTable. Then create this Measure:
=SUMx(CROSSJOIN(Table1,Table2),Table1[wD]*Table2[wD]+Table1[wL]*Table2[wL]+Table1[wS]*Table2[wS]+Table1[wW]*Table2[wW]+Table1[wWSOUL]*Table2[wWSOUL])
That should give you the exact answer you need.
Here's how it looks using some sample data:
...and here's the sample data I'm using:
You could certainly use VBA to add measures, and to update them when the Table changes. I might have a crack at writing up an answer along that approach shortly. But here's another way to achieve what you want.
I've previously written some code to slave a Table to a PivotTable, so that any change in the PivotTable's dimensions or placement will be reflected in the shadowing Table's dimensions and placement. This effectively gives us a way to add a calculated field to a PivotTable that can refer to something outside of that PivotTable. If the PivotTable grows, the Calculated Table will grow. If the PivotTable shrinks, the Calculated Table will shrink, and any redundant formulas in it will be deleted.
You can easily use this approach to perform your calculations in a 2nd table alongside your PivotTable, and each column x in that 2nd table could easily reference row x in your 'parameters' table.
See Select Newest Record and Create New Table of Unique Values in Excel
I have a [Company] column, I have a [Billing day] column in a powerpivot sheet.
A Company can have several different Billing days.
I want to show in a Pivot table, next to the company name, the Billing day with the highest number of occurences.
The tricky part is that the number must appear in a [Calculated Column] that will not be put as a Measure in my Pivot table, but as a Column.
I have reviewed such posts as:
this one or this one.
I have learned much but I am still unable to get the correct values.
Any idea ?
Many thanks
This may not be the best way to get you what I understand you are asking for, but it is a way. I believe it achieves what you want regarding the calculated column.
If I start with this table as Table1:
Then I add a column using this code: MaxByDate = COUNTX(FILTER(FILTER(Table1,Table1[Company]=EARLIER(Table1[Company])),Table1[Billing Day]=EARLIER(Table1[Billing Day])),Table1[Billing Day])
And I add another column using this code: MaxOverall = MAXX(FILTER(Table1,Table1[Company]=EARLIER(Table1[Company])),COUNTX(FILTER(FILTER(Table1,Table1[Company]=EARLIER(Table1[Company])),Table1[Billing Day]=EARLIER(Table1[Billing Day])),Table1[Billing Day]))
Then I add one last column using this code: DateOfMaxOverall = FORMAT(SUMX(FILTER(FILTER(Table1,[Company]=EARLIER([Company])),[MaxByDate]=[MaxOverall]),[Billing Day])/COUNTX(FILTER(FILTER(Table1,[Company]=EARLIER([Company])),[MaxByDate]=[MaxOverall]),[Billing Day]),"m/d/yyyy")
I get this table:
Then if I choose to create a Flattened PivotTable from it (Home tab / PivotTable dropdown arrow button / Flattened PivotTable), and set things up like this:
...and turn off the subtotals and grand totals, I get this:
Which is, I believe, what you requested.
But I think a simpler approach might be this:
Start with the first table (Table1):
And, using that table as is, create a Flattened PivotTable directly. Then set the PivotTable up like this:
...and turn off the subtotals and grand totals, to get this:
...Which you can then filter for the max occurring day for each company:
...to get this:
Or in another words the question is - how to add some calculation in the pivot table based on columns which do not exist in model level.
I've reproduced my problem using AdventureWorksDW2014 sample database.
Let's say I want to calculate difference between Actual and Budget scenario amounts in the FactFinance table for each Organisation and present it in a form of pivot table.
To achieve that I've created a simple model (screen above) and added SumOfAmount measure to the FactFinance table SumOfAmount:=SUM([Amount])
Next, I've opened my model in Excel and created very simple pivot table (shown below)
So, (the question part) now I want to add an extra column to my pivot table, which should calculate something (for example difference) between columns Actual and Budget. And I want this new column been a part of the pivot table so I could filter it or\and add new grouping levels without necessity to change something "outside" the pivot table.
TRIED SO FAR
I tried to add Calculated Field but it seems like I can only use "real" columns for calculations. Columns which appeared in a pivot table based on values from COLUMNS quadrant can't be used as sources for calculations.
FINAL SOLUTION
I got it finally combined two pivot tables: the old one and the one with Diff measure, defined as Diff:=[Actual Amount]-[Budget Amount], where
Actual Amount:=Calculate([SumOfAmount];'DimScenario'[ScenarioName] = "Actual")
Budget Amount:=Calculate([SumOfAmount];'DimScenario'[ScenarioName] = "Budget")
as #WimV suggested
First calculated measure is good:
SumOfAmount:=SUM('FactFinance'[Amount])
Add the following Calculated measures (if needed mark as hidden):
Budget Amount:=Calculate([SumOfAmount],'DimScenario'[Scenariokey] = "Budget")
Actual Amount:=Calculate([SumOfAmount],'DimScenario'[Scenariokey] = "Actual")
You can use the new calculations for example in a difference calculations
I have data that is provided to me that includes the routed date and the service restoration date. From that it's pretty easy to generate a pivot table that generates a table with the date of the month, then a count of received tickets (routed), and the count of closed tickets. I'm trying to generate a calculated field (Pivot -> Options -> Fields, Items & Sets -> Calculated Field) to derive the delta.
When I use =Received - Closed, I get the difference in date rather than the delta in the counts. Can anyone point me in a direction on how I may calculate it? If it was static content it would be easy peasy, but I'm not getting the knack of doing this with a pivot table. Also I could achieve something similar with a countif type command and run it from a static calendar type table (which is what I'll probably end up doing if this ends up being a dead end).
As a solution, you can copy the pivot table and paste it as values in the new sheet. Do you math on values instead of on pivot.
I don't know if formatting your results in the pivot as NUMBER would help.. But you can try that as well.
I was unable to determine a way outside of what was mentioned above by Andrew. I've set up a static date list for the calendar month and then use a series of countifs instead of a pivot table to generate the output. Thanks to all who reviewed the question and to Andrew for his responses.
Just starting with MS PowerPivot. I am trying to create a pivot showing the list of responses to questions in a survey, but am falling over where the powerpivot wants a 'Summarize by' value for the pivoted responses.
In a sql query to return these data I would use max(AnswerComment) (as there will only be one answer per respondent per question). However, when I select Max as the Summarize by values, PowerPivot returns: ERROR - CALCULATION ABORTED: Calculation error in measure 'Answer'[Maximum of AnswerComment]' and then explains that only numbers or dates (and not Strings) can be 'MAX'ed.
Is there a way of listing pivoted data (rather than performing a summary calculation on it)? If not, is there a summary function that PowerPivot accepts for string types?
thx
mcalex
By definition, PowerPivot doesn't let you list text values out. The way to workaround this is to place the column onto a row and then make sure you have another measure that includes all values of that column (traditionally dimension).
Saying this, a common approach is to build a Power View report on top of your PowerPivot workbook. This will allow you to list the values.