Admin 
As per the time of writing, the native QuickBooks connector in Power BI has some shortcomings for the Time Activity-data: It will not return employee details (so you will not know who did the hours) and it will not return hours (if they haven’t been entered by start- and end-date).
But fortunately the connector has 2 functions, who can return the full data that the QBO-API has to offer. At the end of the list in the navigation pane there are the functions “Entity” and “Report”:
In this blogpost I show you my M-Python-function that I use to export data from Power BI to csv files (Export Python).
I prefer it to R mostly because I don’t have to create the csv-file(names) in advance before I import data to it. This is particularly important for scenarios where I want to append data to an existing file. The key for this task is NOT to use the append-option that Python offers, because M-scripts will be executed multiple times and this would create a total mess in my file. Instead I create a new file with the context to append and use the Import-from-folder method instead to stitch all csvs back together. Therefore I have to dynamically create new filenames for each import. So when the M-Python-scripts are executed repetitively here, the newly created file will just be overwritten – which doesn’t do any harm.
Today I’ll present an adjustment to the Text.SplitAny – function in Power BI’s query editor or Power Query. The native function takes a string as an input and splits the text by every character that is contained in the string. This seems fairly unusual to me and I haven’t used that function very often.
But what I have come across fairly often is the requirement to split a string by a bunch of different (whole) strings (instead of single characters).
!! This is a clickbait post to get your vote for some missing features in Power BI !!
Although this might not be what the inventors of Power BI had in mind, large lots of folks are trying to create classical financial statements in it. And putting aside the afford that might go into getting the numbers right, there is still a major drawback to swallow:
In this blogpost I’ll show you how to create a list of account numbers from the totalling syntax that you find in Dynamics NAV account schedules or chart of accounts for example:
1000..1090|1500|2000..2020
This string shall be transformed into a “real” list of account numbers in the query editor that can be used to select all accounts within those ranges.
The M-function Text.BetweenDelimiters does what it says and returns the text between 2 delimiters in the query editor of Power BI and Power Query. But irrespective of its optional arguments you can use to select specific occurrences, it will always only return one string found.
How to retrieve all occurrences of strings between in a text field like here for example: I’d like to get a list that contains “Python” and “R”:
“Meanwhile I prefer +Python!+ to +R!+”
Meaning all strings found between the delimiters “+” and “!+”.
This function will return the desired list: