PowerBI Create List of Month Dates - powerbi

Hi in powerbi I am trying to create a list of dates starting from a column in my table [COD], and then ending on a set date. Right now this is just looping through 60 months from the column start date [COD]. Can i specify an ending variable for it loop until?
List.Transform({0..60}, (x) =>
Date.AddMonths(
(Date.StartOfMonth([COD])), x))

Assuming
start=Date.StartOfMonth([COD]),
end = #date(2020,4,30),
One way is to add column, custom column with formula
= { Number.From(start) .. Number.From(end) }
then expand and convert to date format
or you could generate a list with List.Dates instead, and expand that
= List.Dates(start, Number.From(end) - Number.From(start)+1, #duration(1, 0, 0, 0))

Assuming you want start of month dates through June 2023. In the example below, I have 2023 and 6 hard coded, but this could easily come from a parameter Date.Year(DateParameter) or or column Date.Month([EndDate]).
Get the count of months with this:
12 * (2023 - Date.Year([COD]) )
+ (6 - Date.Month([COD]) )
+ 1
Then just use this column in your formula:
List.Transform({0..[Month count]-1}, (x) =>
Date.AddMonths(Date.StartOfMonth([COD]), x)
)
You could also combine it all into one harder to read formula:
List.Transform(
{0..
(12 * ( Date.Year(DateParameter) - Date.Year([COD]) )
+ ( Date.Month(DateParameter) - Date.Month([COD]) )
)
}, (x) => Date.AddMonths(Date.StartOfMonth([COD]), x)
)
If there is a chance that COD could be after the End Date, you would want to include error checking the the Month count formula.

Generate list:
let
Start = Date1
, End = Date2
, Mos = ElapsedMonths(End, Start) + 1
, Dates = List.Transform(List.Numbers(0,Mos), each Date.AddMonths(Start, _))
in
Dates
ElapsedMonths(D1, D2) function def:
(D1 as date, D2 as date) =>
let
DStart = if D1 < D2 then D1 else D2
, DEnd = if D1 < D2 then D2 else D1
, Elapsed = (12*(Date.Year(DEnd)-Date.Year(DStart))+(Date.Month(DEnd)-Date.Month(DStart)))
in
Elapsed
Of course, you can create a function rather than hard code startdate and enddate:
(StartDate as date, optional EndDate as date, optional Months as number)=>
let
Mos = if EndDate = null
then (if Months = null
then error Error.Record("Missing Parameter", "Specify either [EndDate] or [Months]", "Both are null")
else Months
)
else ElapsedMonths(StartDate, EndDate) + 1
, Dates = List.Transform(List.Numbers(0, Mos), each Date.AddMonths(StartDate, _))
in
Dates

Related

Stata: date comparison in double

I'm trying to divide the data by a certain datetime.
I've created e_timefrom what was originally a string "2019-10-15 20:33:04" for example.
To obtain all the information from the string containing h:m:s, I uses the following command to create a double
gen double e_time = clock(event_timestamp, "YMDhms")
Now I get the result I want from format e_time %tc (human readable),
I want to generate a new variable anything that is greater than 2019-10-15 as 1 and anything less than that as 0 .
I've tried
// 1
gen new_d = 0 if e_time < "1.887e+12"
replace new_d = 1 if e_time >= "1.887e+12"
// 2
gen new_d = 0 if e_time < "2019-10-15"
replace new_d = 1 if e_time > "2019-10-15"
However, I get an error message type mismatch.
I tried converting a string "2019-10-15" to double \to check if 1.887e+12 really meant 2019-10-15 using display, but I'm not sure how the command really works here.
Anyhow I tried
// 3
di clock("2019-10-15", "YMDhms")
but it didn't work.
Can anyone give advice on comparing dates that are in a double format properly?
Your post is a little hard to follow (a reproducible data example would help a lot) but the error type mismatch is because e_time is numeric, and "2019-10-15" is a string.
I suggest the following:
clear
input str20 datetime
"2019-10-14 20:33:04"
"2019-10-16 20:33:04"
end
* Keep first 10 characters
gen date = substr(datetime,1,10)
* Check that all strings are 10 characters
assert length(date) == 10
* Convert from string to numeric date variable
gen m = substr(date,6,2)
gen d = substr(date,9,2)
gen y = substr(date,1,4)
destring m d y, replace
gen newdate = mdy(m,d,y)
format newdate %d
gen wanted = newdate >= mdy(10,15,2019) & !missing(newdate)
drop date m d y
list
+------------------------------------------+
| datetime newdate wanted |
|------------------------------------------|
1. | 2019-10-14 20:33:04 14oct2019 0 |
2. | 2019-10-16 20:33:04 16oct2019 1 |
+------------------------------------------+

Power Query convert of 3 byte binary date getting variable wasn't recognized

Date displays as 3byte hex value example = 72, 02, 11
Converts to 72 to decimal = 114 + 1900 = 2014, 02 = 02, 11 = 17
So date is 02/17/2014
Bdate comes in as a three byte field, binary so defined
1st byte = year, 2nd byte = mth, 3rd byte = day.
Building a function to call because several dates in data base are of this format.
Secondary function to convert hex to decimal is fnhex2Dec from a library.
Here is code for FixDateBn
let
FixDateBn = (Bdate as binary) =>
let
FixDateBn = BinaryFormat.ByteOrder(
BinaryFormat.Record ([
Yr= BinaryFormat.Byte, //<- the Yr variable is getting Name Yr wasn't recognized.
Mth = BinaryFormat.Byte,
Day = BinaryFormat.Byte ]),
ByteOrder.LittleEndian),
Yrnum = fnhex2Dec(Yr,16)+1900,
Mthnum = fnhex2Dec(Mth,16),
Daynum = fnhex2Dec(Day,16),
Gooddate = #date(Yrnum,Mthnum,Daynum) as date
in
if Bdate is null then null else Gooddate
in
FixDateBn
Appreciate any help.
Here is the sql that converts from hex to regular date. Don't know how to do this in Power Query M language.
CREATE FUNCTION "GetDateFromWDate" (:wDate CHAR(3)) RETURNS DATE AS
BEGIN
DECLARE :tmpdate DATE
SET :tmpdate = '1900-01-01';
IF (:wDate <> null) and (:wDate <> '') THEN
SET :tmpdate = DATEFROMPARTS (ascii(substring(:wDate, 1, 1)) + 1900, ascii(substring(:wDate, 2, 1)), ascii(substring(:wDate, 3, 1)));
END IF;
RETURN :tmpdate;
END
Thanks
Sammy

Calculating results pro rata over several months with PowerQuery

I am currently stuck on below issue:
I have two tables that I have to work with, one contains financial information for vessels and the other contains arrival and departure time for vessels. I get my data combining multiple excel sheets from different folders:
financialTable
voyageTimeTable
I have to calculate the result for above voyage, and apportion the result over June, July and August for both estimated and updated.
Time in June : 4 hours (20/06/2020 20:00 - 23:59) + 10 days (21/06/2020 00:00 - 30/06/2020 23:59) = 10.1666
Time in July : 31 full days
Time in August: 1 day + 14 hours (02/08/2020 00:00 - 14:00) = 1.5833
Total voyage duration = 10.1666 + 31 + 1.5833 = 42.7499
The result for the "updated" financialItem would be the following:
Result June : 100*(10.1666/42.7499) = 23.7816
Result July : 100*(31/42.7499) = 72.5148
Result August : 100*(1.5833/42.7499) = 3.7036
sum = 100
and then for "estimated" it would be twice of everything above.
This is the format I ideally would like to get:
prorataResultTable
I have to do this for multiple vessels, with multiple timespans and several voyage numbers.
Eagerly awaiting responses, if any. Many thanks in advance.
Brds,
Not sure if you're still looking for an answer, but code below gives me your expected output:
let
financialTable = Table.FromRows({{"A", 1, "profit/loss", 200, 100}}, type table [vesselName = text, vesselNumber = Int64.Type, financialItem = text, estimated = number, updated = number]),
voyageTimeTable = Table.FromRows({{"A", 1, #datetime(2020, 6, 20, 20, 0, 0), #datetime(2020, 8, 2, 14, 0, 0)}}, type table [vesselName = text, vesselNumber = Int64.Type, voyageStartDatetime = datetime, voyageEndDatetime = datetime]),
joined =
let
joined = Table.NestedJoin(financialTable, {"vesselName", "vesselNumber"}, voyageTimeTable, {"vesselName", "vesselNumber"}, "$toExpand", JoinKind.LeftOuter),
expanded = Table.ExpandTableColumn(joined, "$toExpand", {"voyageStartDatetime", "voyageEndDatetime"})
in expanded,
toExpand = Table.AddColumn(joined, "$toExpand", (currentRow as record) =>
let
voyageInclusiveStart = DateTime.From(currentRow[voyageStartDatetime]),
voyageExclusiveEnd = DateTime.From(currentRow[voyageEndDatetime]),
voyageDurationInDays = Duration.TotalDays(voyageExclusiveEnd - voyageInclusiveStart),
createRecordForPeriod = (someInclusiveStart as datetime) => [
inclusiveStart = someInclusiveStart,
exclusiveEnd = List.Min({
DateTime.From(Date.EndOfMonth(DateTime.Date(someInclusiveStart)) + #duration(1, 0, 0, 0)),
voyageExclusiveEnd
}),
durationInDays = Duration.TotalDays(exclusiveEnd - inclusiveStart),
prorataDuration = durationInDays / voyageDurationInDays,
estimated = prorataDuration * currentRow[estimated],
updated = prorataDuration * currentRow[updated],
month = Date.MonthName(DateTime.Date(inclusiveStart)),
year = Date.Year(inclusiveStart)
],
monthlyRecords = List.Generate(
() => createRecordForPeriod(voyageInclusiveStart),
each [inclusiveStart] < voyageExclusiveEnd,
each createRecordForPeriod([exclusiveEnd])
),
toTable = Table.FromRecords(monthlyRecords)
in toTable
),
expanded =
let
dropped = Table.RemoveColumns(toExpand, {"estimated", "updated", "voyageStartDatetime", "voyageEndDatetime"}),
expanded = Table.ExpandTableColumn(dropped, "$toExpand", {"month", "year", "estimated", "updated"})
in expanded
in
expanded
The code tries to:
join financialTable and voyageTimeTable, so that for each vesselName and vesselNumber combination, we know: estimated, updated, voyageStartDatetime and voyageEndDatetime.
generate a list of months for the period between voyageStartDatetime and voyageEndDatetime (which get expanded into new table rows)
for each month (in the list), do all the arithmetic you mention in your question
get rid of some columns (like the old estimated and updated columns)
I recommend testing it with different vesselNames and vesselNumbers from your dataset, just to see if the output is always correct (I think it should be).
You should be able to manually inspect the cells in the $toExpand column (of the toExpand step/expression) to see the nested rows before they get expanded.

Matching two lists in excel

I am trying to compare two months sales to each other in excel in the most automated way possible (just so it will be quicker for future months)
This months values are all worked out through formulae and last months will be copy and pasted into D:E. However as you can see there are some customers that made purchases last month and then did not this month (and vice versa). I basically need to be have all CustomerID's matching row by row. So for example it to end up like this:
Can anyone think of a good way of doing this without having to do it all manually? Thanks
Use the SUMIFS function or VLOOKUP. Like this:
http://screencast.com/t/VTBZrfHjo8tk
You should just have your entire customer list on one sheet and then add up the values associated with them month over month. The design you are describing is going to be a nightmare to maintain over time and serves no purpose. I can understand you would like to see the customers in a row like that, which is why I suggest SUMIFS.
This option compare only two columns, I think you do to think anoter way,
first I will add the date/month and then you can add down the next month value:
then you can use a simply pivot to see more month in the some time
any case if you want to format your two columns, you can use this code (you will to update with you reference, I used the date from your img example)
Sub OrderMachColumns()
Dim lastRow As Integer
Dim sortarray(1 To 2, 1 To 2) As String
Dim x As Long, y As Long
Dim TempTxt10 As String
Dim TempTxt11 As String
Dim TempTxt20 As String
Dim TempTxt22 As String
lastRow = Range("A3").End(xlDown).Row ' I use column A, same your example
For x = 3 To lastRow * 2
Cells(x, 1).Select
If Cells(x, 1) = "" Then GoTo B
If Cells(x, 4) = "" Then GoTo A
If Cells(x, 1) = Cells(x, 4) Then
Else
If Cells(x, 1).Value = Cells(x - 1, 4).Value Then
Range(Cells(x - 1, 4), Cells(x - 1, 5)).Select
Selection.Insert Shift:=xlDown, CopyOrigin:=xlFormatFromLeftOrAbove
ElseIf Cells(x, 1).Value = Cells(x + 1, 4).Value Then
Range(Cells(x, 1), Cells(x, 2)).Select
Selection.Insert Shift:=xlDown, CopyOrigin:=xlFormatFromLeftOrAbove
Else
sortarray(1, 1) = Cells(x, 1).Value
sortarray(1, 2) = "Cells(" & x & ", 1)"
sortarray(2, 1) = Cells(x, 4).Value
sortarray(2, 2) = "Cells(" & x & ", 4)"
For Z = LBound(sortarray) To UBound(sortarray)
For y = Z To UBound(sortarray)
If UCase(sortarray(y, 1)) > UCase(sortarray(Z, 1)) Then
TempTxt11 = sortarray(Z, 1)
TempTxt12 = sortarray(Z, 2)
TempTxt21 = sortarray(y, 1)
TempTxt22 = sortarray(y, 2)
sortarray(Z, 1) = TempTxt21
sortarray(y, 1) = TempTxt11
sortarray(Z, 2) = TempTxt22
sortarray(y, 2) = TempTxt12
End If
Next y
Next Z
Select Case sortarray(1, 2)
Case "Cells(" & x & ", 1)"
Range(Cells(x, 1), Cells(x, 2)).Select
Case "Cells(" & x & ", 4)"
Range(Cells(x, 4), Cells(x, 5)).Select
End Select
Selection.Insert Shift:=xlDown, CopyOrigin:=xlFormatFromLeftOrAbove
End If
End If
A:
Next x
B:
End Sub

Oracle - how to convert string to row pair with out using WITH clause

In one of the column I have role and organization position
Example postion is 1 and organization is 310492 ...
1|310492|1|12319|1|562548|1|5202558
I need to convert this string to multiple rows
1,310492
1,12319
1,562548
1,5202558
I can not use WITH clause as I need to have is as correlated subquery
SELECT EXTRACT (VALUE (d), '//row/text()').getstringval ()
FROM (SELECT XMLTYPE ( '<rows><row>' || REPLACE (USERPROF.FIELD1, '|', '</row><row>') || '</row></rows>' ) AS xmlval FROM USERPROF WHERE FIELD1 IS NOT NULL ) x, TABLE (XMLSEQUENCE (EXTRACT (x.xmlval, '/rows/row'))) d
however this is converting entire string to multiple rows.
I tried playing with regexp and connect which is not helping me but fetching content of entire table by ignore where condition.
select regexp_substr(FIELD1,'[^|]+', 1, LEVEL) from USERPROF WHERE USERS_ID = 23502
connect by regexp_substr(FIELD1, '[^|]+', 1, level ) is not null;
Thanks in advance.
The SQL below:
with data as
(select '1|310492|1|12319|1|562548|1|5202558' as x from dual)
select fin from(
select 1+level-1 as occurrence
, instr(x,'|',1,1+level-1) as pos
, nvl(lead(instr(x,'|',1,1+level-1),1) over (order by 1+level-1)
, length(x))
as xxxx
, case when
nvl(lead(instr(x,'|',1,1+level-1),1) over (order by 1+level-1)
, length(x)) = length(x)
then instr(x,'|',1,1+level-1)
else
nvl(lag(instr(x,'|',1,1+level-1),1) over (order by 1+level-1),1) end as yyyy
, substr(x
,case when
nvl(lead(instr(x,'|',1,1+level-1),1) over (order by 1+level-1)
, length(x)) = length(x)
then instr(x,'|',1,1+level-1)
else
nvl(lag(instr(x,'|',1,1+level-1),1) over (order by 1+level-1),1) end
,nvl(lead(instr(x,'|',1,1+level-1),1) over (order by 1+level-1)
, length(x))
- case when
nvl(lead(instr(x,'|',1,1+level-1),1) over (order by 1+level-1)
, length(x)) = length(x)
then instr(x,'|',1,1+level-1)
else
nvl(lag(instr(x,'|',1,1+level-1),1) over (order by 1+level-1),1) end
) as fin
, length(x) as lastrw
from data
connect by level <= length(x) - length(replace(x, '|')) - 1
order by 1) x
where mod(occurrence,2) = 1 or xxxx = lastrw
Results in:
FIN
1|310492
|1|12319
|1|562548
|1|520255
Note that I'm just using the with clause to use the data you gave as an example.