Forum Discussion
pedroccamaraDBI
3 years agoPost Partisan
Pivot or...?
Hi everyone, We have a system here that for every employee, that have to check in and check out with their own card. Of course not everybody do it by the book but that's why "we" are here, to see wh...
- 3 years ago
okay, i think i've fixed that bug. Try this:
let Source = your_table, f = (tbl as table) as table => [rows = Table.ToRecords(tbl), acc = List.Accumulate( rows, {}, (s, c) => if c[CLOCK_TYPE] = 51 then s & {c & [CHECKIN = c[DATETIMECHECK]] & [CHECKOUT = null]} else if List.IsEmpty(s) then s & {c & [CHECKIN = null] & [CHECKOUT = c[DATETIMECHECK]]} else if List.Last(s)[CHECKOUT] = null then List.RemoveLastN(s, 1) & {Record.TransformFields(List.Last(s), {"CHECKOUT", each c[DATETIMECHECK]})} else s & { c & [CHECKIN = null] & [CHECKOUT = c[DATETIMECHECK]]} ), out = Table.FromRecords(acc)][out], g = Table.Group(Source, {"SHIFT_NUMBER", "EMPLOYEE_CODE"}, {"all", each f(Table.Sort(_, "ABS_NUMBER"))}), expand = Table.ExpandTableColumn(g, "all", {"CLOCK_DATE", "CHECKIN", "CHECKOUT"}) in expand
AlienSx
3 years agoSuper User
Hello, pedroccamaraDBI no Table.Pivot:
let
Source = your_table,
f = (tbl as table) as table =>
[rows = Table.ToRecords(Source),
acc =
List.Accumulate(
rows,
{},
(s, c) =>
if c[CLOCK_TYPE] = 51 then s & {c & [CHECKIN = c[DATETIMECHECK]] & [CHECKOUT = null]}
else if List.IsEmpty(s)
then s & {c & [CHECKIN = null] & [CHECKOUT = c[DATETIMECHECK]]}
else if List.Last(s)[CHECKOUT] = null
then List.RemoveLastN(s, 1) & {Record.TransformFields(List.Last(s), {"CHECKOUT", each c[DATETIMECHECK]})}
else s & { c & [CHECKIN = null] & [CHECKOUT = c[DATETIMECHECK]]}
),
out = Table.FromRecords(acc)][out],
g = Table.Group(Source, "EMPLOYEE_CODE", {"all", each f(Table.Sort(_, "ABS_NUMBER"))}),
expand = Table.ExpandTableColumn(g, "all", {"CLOCK_DATE", "CHECKIN", "CHECKOUT"})
in
expandor Table.Group & Table.Pivot
let
Source = your_table,
sort = Table.Sort(Source,{{"EMPLOYEE_CODE", Order.Ascending}, {"ABS_NUMBER", Order.Ascending}}),
in_out = Table.TransformColumns(sort, {"CLOCK_TYPE", (x) => if x = 51 then "CHECKIN" else "CHECKOUT"}),
f = (t as table) as table =>
[pivot = Table.Pivot(t, List.Distinct(t[CLOCK_TYPE]), "CLOCK_TYPE", "DATETIMECHECK"),
fd = Table.LastN(try Table.FillDown(pivot,{"CHECKIN"}) otherwise pivot, 1)][fd],
g =
Table.Group(
in_out, {"EMPLOYEE_CODE", "CLOCK_TYPE"}, {"tbl", f}, GroupKind.Local,
(s, c) =>
Number.From(
s[EMPLOYEE_CODE] <> c[EMPLOYEE_CODE]
or c[CLOCK_TYPE] = "CHECKIN"
or s[CLOCK_TYPE] = c[CLOCK_TYPE]
)
),
expand = Table.ExpandTableColumn(g, "tbl", {"CLOCK_DATE", "CHECKIN", "CHECKOUT"}),
fnl = Table.RemoveColumns(expand,{"CLOCK_TYPE"})
in fnl