This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
I would like to use loop to obtain a table as follows,
00 4
01 9
02 9
03 9
04 8
At 00 Clock, total count is 4 as Discharge Date as no patient Discharge Date is equal to 00. 4 - 0 = 4
At 01 Clock, total count is 9 as there is 0 patient EDIS Discharge Date is <= to 01,
9 - 0 = 9
At 02 Clock, total count is 9 as there is 1 patient who's EDIS Discharge Date is <= 02.
10 - 1 = 9
At 03 Clock, total count is 9 as there is 2 patients who's EDIS Discharge Date is <= 03.
11 - 2 = 9
At 04 Clock, total count is 9 as there is 5 patients who's EDIS Discharge Date is <=04.
13 - 5 = 8
discharge date update frequently, some discharge date is null before update.
Solved! Go to Solution.
NewStep = #table(
{"Clock","Count"},
Record.ToList(
List.Accumulate(
Table.ToRecords(PreviousStepName),
{[],List.Repeat({0},25),1},
(x,y)=>let
a=Time.Hour(y[EDIS Discharge Date])??24,
b=List.ReplaceRange(x{1},a,1,{x{1}{a}+1}),
c=Record.TransformFields(x{0},{y[Clock],each {y[Clock],x{2}-List.Sum(List.FirstN(b,Number.From(y[Clock])+1))}},2)
in
{c,b,x{2}+1}
){0}
)
)
NewStep = #table(
{"Clock","Count"},
Record.ToList(
List.Accumulate(
Table.ToRecords(PreviousStepName),
{[],List.Repeat({0},25),1},
(x,y)=>let
a=Time.Hour(y[EDIS Discharge Date])??24,
b=List.ReplaceRange(x{1},a,1,{x{1}{a}+1}),
c=Record.TransformFields(x{0},{y[Clock],each {y[Clock],x{2}-List.Sum(List.FirstN(b,Number.From(y[Clock])+1))}},2)
in
{c,b,x{2}+1}
){0}
)
)
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.