Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hello,
I have set out to try to automate an appended table generated from tables invoked from parameterized dates in the web page, but creating a loop has been beyond my ability as someone just getting acquianted with power query.
I've manually been able to generate an appended table such as:
(parameters corresponding to start and end date)
let
Source = Table.Combine({Date("01-01", "01-01"),Date("01-02", "01-02")})
in
Source
But I would really appreciate a query that could 'loop', via list.accumulate perhaps, a list of dates, where the return is an appended table that includes data of each day from the start of the year.
Thanks!
Solved! Go to Solution.
You may refer to the post below.
You may refer to the post below.
I have managed to generate a list of the days from the start of the year:
let
Source = GetDaysList(#date(2018, 1, 1), Duration.Days(DateTime.Date(DateTime.FixedLocalNow())-#date(2018,1,1)), #duration(1, 0, 0, 0)),
ToTable = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
MonthDay = Table.AddColumn(ToTable, "Day", each
Text.PadStart(Number.ToText(Date.Month([Column1])),2,"0")
&"-"&
Text.PadStart(Number.ToText(Date.Day([Column1])),2,"0")),
DeleteColumn = Table.RemoveColumns(MonthDay,{"Column1"}),
TableList = Table.ToList (DeleteColumn)
in
TableList
My problem of using the list as an input to a 'looping' table-appending query (i.e. list accumulate) remains...
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
73 | |
71 | |
54 | |
38 | |
31 |
User | Count |
---|---|
71 | |
64 | |
60 | |
50 | |
45 |