Right now, I am using a filtering scheme which only looks at the data of the 5 or 6 most common entries in the 'Clinic' field. But, there are a handful of other possibilities which might account for a few rows each. They are too inconsequential to include on their own (I am using pie charts and bar charts), but I would like these rows to be accounted for. For this reason, I would like to create an "Other" category which groups these entries together. What is the best way of doing this? I know I can create a calculated column that groups everything aside from the top 5 or 6 in an other category, but I thought there might be a way to keep working with the original column and achieve the same result.
Unfortunately not. In 6.5.x you will have to write a case statement that will specify everything that is not most common to other.
In 7.0.x you can go to insert binned column. Add the bottom you can use values to create a bin. Add the values you want to the bin and call them "Other". Of course if you look at the column created like this, it is a case statement. But it is a whole lot faster than writing it yourself.
Following phiver I came out with this solution in Spotfire 6.5.2:
Add a calculated column
With something like this:
If(DenseRank(Count([Formation]) OVER ([Formation]),"desc")<10, DenseRank(Count([Formation]) OVER ([Formation]),"desc") & " " & [Formation], "10 Other")
Hope that helps.
Related
Is there a way to move imported columns after calculated columns? I know I can create a new table by using Selectcolumns, but that'll just balloon the size of the PowerBI data file. Seems like such a miss on Microsoft's part
No there is no way to. I would avoid calculated columns and instead create the additional columns in Power Query which will eliminate your problem anyway.
Simply start all calculated columns with an underscore (judging by your username, you seem to be fond of unnecessary underscores)
Another option would be to put imported and calculated columns into different Display folders (such a miss on user's part)
I'm trying to clear the entire cell if it doesn't contain a given keyword.
I've managed to do this for one column:
Table.ReplaceValue(#"PrevStep",each [#"My Column"], each if Text.PositionOf([#"My Column"],"keyword")>-1 then [#"My Column"] else null,Replacer.ReplaceValue,{"My Column"})
The problem is I need to iterate/repeat that step for a number of columns... the number of columns may vary and column names also may be different every time. I can have all those column names put into a list but I'm not able to use it.
The solution I'm looking for may look like this
for each ColNam in MyColumnsList
Table.ReplaceValue(#"PrevStep",each [#"ColNam"], each if Text.PositionOf([#"ColNam"],"keyword")>-1 then [#"ColNam"] else null,Replacer.ReplaceValue,MyColumnsList)
next
but this is not the VBA code but Power Query M - and of course the problem is with #PrevStep as I would see it like a recursions... again... do not know how to process.
Is the path I follow correct or should it be done some other way
Thanks
Andrew
Unpivot your columns to turn all the columns into two columns. Apply your replacement to the single value column then pivot it back into the original format
I am new to DynamoDB so I'm still trying to understand how to use it, but I have what I believe is a simple task but I'm not sure how to address it.
I need to create a table to store categorized questions in which I need to store a click counter. So let's say something like this:
ID: 1
Question: What is this?
Category: General
Clicks: 100
Now, the problem is I need an optimized way to get the most general clicked questions and the most clicked questions by category, let's say a top 10.
In a classic SQL style it would be something like this:
SELECT ID, Question
FROM Questions
ORDER BY Clicks DESC
LIMIT 10
Can anyone point me in the right direction on how to structure the table? I tried the sorting but it always requires a hash key condition, so I don't understand how I can get this done as I need the top 10 results and not a single one.
Thanks in advance!
How are you accumulating the clicks, if you are able to figure out how you accumulate the clicksstream onto the table correctly that will be your answer.
You will need to implement a mechanism that maps incoming clicks to the item record being clicked on and increment it using an atomic counter. With this you will be able to then create a sparse index and sort it in descending order to get what you need.
I am wondering if there is a way to limit the number of rows generated from grafana templating.
I can have a drop down variable "$x"on my grafana page and I can select the row editor and say repeat row for every value under $x.
Based on different criteria, I can have x anywhere between 1 and like 160 rows. I need to only be looking at about 10 at a time. I am wondering if I can control the number of rows shown/change the rows shown somewhere in grafana.
I can manually select items from the $x drop down to show only a few items of course, but its a matter of selecting only say.. 10 items right when the page loads.
Please let me know if I am not describing the problem correctly or if I need to clarify more.
Thanks,
Karan
As far as I know there is no direct option for this but there are some ways you may be able to achieve what you want.
You could select your ~10 default entries and then save the dashboard this will save the selected ones in the dashboards JSON. (or modify the JSON of the dashboard directly)
You could use the regex field in the template settings to filter some of your values and split them in groups this way. (one variable per regex group)
You could change your data in elasticsearch in order to use multiple fields where you can split on.
see PR #5616 as #Daniel Lee mentioned
In general I think you get a faster response to this in grafana directly at github.
newparts_calc
if (([MonthToDateQuery].[G/L Account] = 4200 and [Query1].[G_L_Group] = 'NEW')) THEN ([Credit Amount]-[Debit Amount]) ELSE (0)
Data Item1
total([newparts_calc])
I need Data Item1 to return newparts_calc values only.
So for example in 1st row Data Item1 should be 8,540.8, but is 34,163.2
Whats wrong? how do i fix?
REVISED QUESTION
I apologize for not making sense on the original question.
I have many of the calc's that im trying to gather and put on a crosstab. I want to see sales by month (row) and part category (column)
[Query2] is the one shown in picture above.
It joins [MonthToDateQuery] AND [Query1]
The join is on 'Invoice' and carnality is 1..1 = 1..1
[MonthToDateQuery] is based on the package im working in. General ledger. It supplies the g/l entries for each sales g/l account
[Query1] is a SQL query i brought in to be able to break out categories even further from g/l group.
For example g/l account 4300 is rebuilt. However i needed to break out even further to see Rebuilt-Production and Rebuilt-New. I can do that with the g/l group.
I saw in my g/l account ledger entries that it referenced the invoice number. So thats how i tied in my SQL.
So as you can see from the table below (which is the view tabular data from query) i need a total. I have tried plugging newparts_calc into my crosstab and setting aggregation to total but the numbers still dont seem right. I dont think i have something set as it should be.
All the calc's im doing are based on single or multiple G/L Accounts and single or multiple G/L Groups.
Any Advice?
As you can see the problem seems to be duplicate invoice numbers.
How can i fix?
Couple things come to mind:
-Set the processing order to 2
-Since your calc is always a multiple and you are joining two queries, you may need to check your cardinality. Sometimes it helps to add derived queries to ensure you are working with the correct grain.
I'm obviously missing something, but if you want
I need Data Item1 to return newparts_calc values only.
just use newparts_calc, without total? That would give you proper value for row 1 -)
If you need a running-total for days (sum of values for previous days) — you should use a running_total function.
At a guess, one of your two queries is returning multiple rows for each invoice, which will cause this double counting. Look at the output of the two queries and see if that's happening. If so, then you just need to work out how to collapse that down to one row per invoice.
Per your new question - The underlying data has got to be causing the issue. Its clearly not 1:1 (note that even though this is what your stated cardinality is, Cognos does not enforce 1:1). Invoice number is not unique, GL Group is at a lower level.