I have a requirement where the column name invc_amt_type whihc ahas data as mail serive count, mail service amount,other count, other amount and so on.
i also have a amount coulmn coming form source invc_amt whihc has amounts in it.
now i need to put a logic in expression as(some thing like compare) check if the invc_amt_type has value as'COUNT' then load the invc_amt in column A , if invc_amt_type has 'AMOUNT' then load the invc_amt in column A.
i tried using insrt and look for word 'COUNT' and load the inv_amt in column A (instr(INVC_AMT_TYPE,'COUNT')>0) but iam little confused how to use for 'AMOUNT'.
Hi Kiran, You can use IIF function,
IIF(INSRT(INVC_AMT_TYPE,'COUNT')
OR INSTR(INVC_AMT_TYPE,'AMOUNT'),INVC_AMOUNT)
This logic will help you
Related
I've got a table full of different data types, including records, that I want to extract all column names of records to then use in an expand function. I've included a screenshot of a column containing record's however, when I use this = Table.ColumnsOfType(#"Expanded fields", {type record}), it returns an empty list .
I've tried looking through the entire column to see if there was anything different but its all record types. Any help please.
EDIT:
Error using Table.TransformColumnTypes
Record is not a valid type to search for. And judging by your image, your type is Type.Any as denoted by the ABC123
You best bet is to unpivot all the columns (perhaps those starting with a certain prefix) then on the new Value column, expand like so
#"PriorStepNameHere" = .... ,
ExpandList= List.Distinct(List.Combine(List.Transform(Table.Column(#"PriorStepNameHere", "Value"), each if _ is record then Record.FieldNames(_) else {}))),
Expand= Table.ExpandRecordColumn(#"PriorStepNameHere", "Value", ExpandList,ExpandList)
It sounds like the Table.ColumnsOfType function is not properly identifying the columns in your table that contain records.One possible reason for this is that the column's datatype is not properly set as 'record'. Another possible reason could be that the data in the columns is not structured properly and hence it is not being identified as a record. You can try to use the Table.TransformColumnTypes function to convert the column's datatype to 'record' and see if that resolves the issue.
If the issue still persists, please share the sample data and the code you are using.
Please excuse my lack of knowledge in explaining my problem as i have only just started learning Power Bi.
I am attempting to return data by using a dynamic variable within my source url.
Source = Json.Document(Web.Contents("https://api.****.com/jobs/{ID}/invoices", [Headers=[Authorization="Bearer "&GetToken()]]))
I have successfully returned the data i needed from multiple queries Blank Query 1 Query Names
However, i am trying to run a final query in which a job ID needs to be specified.
Source = Json.Document(Web.Contents("https://api.****.com/jobs/{ID}/invoices", [Headers=[Authorization="Bearer "&GetToken()]]))
With the bold item being the variable.
I have successfully returned values by hard coding the variable (seen below).
Hard coded variable
However, i would like to make dynamic in that it will return the values for all the Job ID's witin the "jobs" table.
Job Id's
I don't know if what im asking is possible, or if my explanation is good enough, but any help would be greatly appreciated!
What you are looking for is a custom function.
Make a function out of your above query by adding (ID) => in the first line and separating "ID" in your URL string.
(ID) =>
let
Source = Json.Document(Web.Contents("https://api.****.com/jobs/{" & ID & "}/invoices", [Headers=[Authorization="Bearer "&GetToken()]]))
in
Source
Of cause you can add all your other transformation steps too.
Now take your JobIDs table and add a column by invoking a custom function, select the above function and take the ID parameter from your ID column.
For every row you'll get a separate table and all that's left is simply expanding these tables into your query.
This will solve your problem.
I'm trying to create an array formula to auto-populate the total count of values for each column as columns are added.
I've tried doing this using a combination of count and indirect, as well as tried my hand at query, but I can't seem to get it to show unique value counts for each column.
This is my first time attempting to use query, and at first it seemed possible from reading through the documentation on the query language, but I haven't been able to figure it out.
Here's the shared document: https://docs.google.com/spreadsheets/d/15VwsL7uTsORLqBDrnT3VdwAWlXLh-JgoJVbz7wkoMAo/edit?usp=sharing
I know I can do this by writing a custom function in apps script, but I'd like to use the built-in functions if I can for performance reasons (there is going to be a lot of data), and I want quick refresh rates.
try:
=ARRAYFORMULA(IF(B5:5="",,TRANSPOSE(MMULT(TRANSPOSE(N(B6:99<>"")), SIGN(ROW(B6:99))))))
In B3 try
=ArrayFormula(IF(LEN(B5:5), COUNTIF(IF(B6:21<>"", COLUMN(B6:21)), COLUMN(B6:21)),))
I currently have a package pulling data from an excel file, but when pulling the data out I get rows I do not want. So I need to extract everything from the 'ID' field that has any sort of letter in it.
I need to be able to run a RegEx command such as "%[a-zA-Z]%" to pull out that data. But with the current limitation of conditional split it's not letting me do that. Any ideas on how this can be done?
At the core of the logic, you would use a Script Transformation as that's the only place you can access the regex.
You could simply a second column to your data flow, IDCleaned and that column would only contain cleaned values or a NULL. You could then use the Conditional Split to filter good rows vs bad. System.Text.RegularExpressions.Regex.Replace error in C# for SSIS
If you don't want to add another column, you can set your current ID column to be ReadWrite for the Script and then update in place. Perhaps adding a boolean column might make the Conditional Split logic easier at this point.
I have a custom variable set for all visitors; for our registered users it's some value, for unregistered users, it's empty.
I can find unregistered users in an advanced segment using the settings Exclude Custom Variable (Value 02) Matching Regexp .+ -- works brilliantly.
But I need a report of unregistered visitors for a dashboard, and tried to do the same thing with a filter. I have a metric of Visits and a dimension of something all vistors will have (e.g. Browser). My filter is identical to the one in the advanced segment, but ... not brilliant. I get no visits. I have tried to Include with a regex ^$ but no love there, either.
Any ideas what I am doing wrong?
To understand your problem and the solution yourself, let me illustrate how the data recording works in any collection process (Google Anlaytics is one of the tools used for data collection and analysis):
To record and analyse data, you first decide what you want to record, and then how. Maybe this how is where Google Analytics comes in for you. So, the data that you want to see is the metric, it can have a name and a (usually numeric) value, and each dimension is how you want to separate or drill down into the various views of the data. As an example, if you want to know how many visitors visited your site everyday, and you want to be able to see through which source they came, Daily Visitor Count is your metric and Source is your dimension.
The important thing to understand here is that Dimensions and Metrics are not bound together. What I mean here is that just because you decided that Daily Visitor Counts should be viewable by Source, doesn't add a source to every updation of the Daily Visitor Count metric. In order to view the metric by the dimenision, you need to update a value for the dimension every time you record the metric.
If you don't record a dimension for a metric, then you cannot obtain the value of the metrics for which you didn't record a dimension by applying a filter on the dimension. Because, using a dimension filter only lets you access the values recorded for the dimension, and not all metrics, because, dimensions don't contain values of metrics, only metrics can optionally contain values for dimensions.
So when you query "dimension equals regex +*", it works, with both include and exclude, but you cannot query metrics with empty dimension using a dimensional filter. The best way would be to only add a standard or default value for the dimension every time you record the metric so that you can separate, something like (not set) or unknown.
Hope that helps. :)
I just hope you understand what you were trying to do is conceptually wrong, though it could still have been made technically feasible.