I have a newbie question related to the Statistics data exported from SoapUI after a load test: one of the columns is labelled sum and I was wondered what data it contained. This column is right after the err column so I was wondering if it is related to that...
err is the number of errors in that sample
sum is the running total (sum) of errors
Related
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:
I am trying to rank subsets of my data in spotfire.
Lets say I have a data table that has the following 6 columns:
Individual, City, Zip Code, State, Amount1,and Amount2.
There are thousands of Unique Individuals in each Zip Code and many Zip Codes within each State. How would I display only the data from the top 5 Zip Codes within each State (as defined by the SUM()of Amount1)?
To summarize the order of operations; I want to sum up Amount1 for each Zip Code, then Rank the Zip Codes in desc order within each State (just an intermediate step for explanatory purposes) and finally, only display the top 5 Zip Codes within each State.
All I could think of was to create a calculated column that would return the Zip Code if it satisfied my conditions and NULL if it did not. I don't think its the best but here is the code I started with:
case WHEN DenseRank(Sum(Sum([Amount1]) over [ZipCode]) over [State],"desc")<6 then [ZipCode] ELSE NULL END
Any help would be great. Thanks!
Thanks for the clarification in the comments.
DenseRank(Sum([A1]) OVER ([ZipCode]),"desc",[State]) as [Rank]
The above function will give rank your [ZipCode] within its respective [State] based on the SUM() of an amount in column [A1]. DenseRank() will NOT skip a ranking number if there is a tie. The means you could have more than 5 [ZipCode] in your top 5. Use Rank() if you want to avoid this.
Then, you can create a calculated column for your filter panel, or just filter it in the "Limit Data using Custom Expressions" section of your chart.
If([Rank] < 6,"Top 5", "Other") as [Zip Rank in State]
I have imported a bunch of data using PowerQuery into a single table and am building dashboard reporting. I have been using Pivot Tables to build my reports, which has worked fine so far.
However, I've come to a point though where I want to simply show the count of multiple columns (calculated fields). So I have column A,B,C,D, and want to show the count each of each. But, I don't want them to be subsets (or children) of one another, and I don't want to build a bunch of Pivot Tables (file is already getting pretty big, and I want them row by row for easy viewing). Any suggestions?
Also, I am using the "Columns" field already to show the counts by certain weeks (week one, week two, etc.).
Thanks,
-A
Thanks for the follow-up. Within PowerPivot, I have four calculated fields/columns that are True/False for each column. I want to know how many times each of those columns were marked "True" (I can rename the "True" field to distinguish between which field it's referencing). But I don't want four pivot tables. Right now I can only think of making four pivot tables, filtering out the false for each one, then hiding the rows so the "True" values stack on top of one another. If I put all the four fields together in the same Pivot, the three below the first become subsets. I don't want subsets, just occurrence counts.
Does this help provide clarification?
If I understand you correctly, here's an example that shows what you're trying to achieve:
The table on the left has the TRUE/FALSE entries and the PivotTable on the right just shows the number of true items in each of those columns.
The format of the DAX measure to produce these count totals is:
[Count of A]=CALCULATE(COUNTROWS(PetFacts),PetFacts[A]=TRUE)
(Apologies to any parrot owners who may get upset that I have inadvertently re-classified their pets as cold-blooded!)
I have seen some posts that address this concept online, but I have been unable to adapt them to my needs.
Scenario:
I have a table with three columns.
Column A- [Month] (formatted mm/dd/yyyy)
Column B- [salesperson]
Column C- [Assets]
I am trying to determine a formula which will return the total assets for all salespeople for each month in a fourth column.
Why am I doing this? I am building a report which will generate a graph from this data. In reality there will be additional columns which will contain values for some variables. I will be using the slicer function in conjunction with these variables to create an interactive functionality within the graph. Hard coded references won't work for me, as this will be a recurring report, and the dataset will be refreshed with current data regularly.
Thank you for any help you can offer. I'm still fairly new to all this (<1yr) so interpreting general formulas I've found elsewhere has been very problematic.
Cheers!
Create a calculation like this (syntax dependent on data model)
AllSalespersons:=CALCULATE(SUM[Assets], ALL[Salesperson])
Using the CALCULATE function here is important because it will remove the row syntax for Salesperson (created in the pivottable) and give you the sum of 'ALL' salespersons for each month.
Again, you'll have to play with the syntax to fit your data model, but based on your quetsion, I think this should give you what you are looking for.
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.