Collapse specific rows into another row

I

ilcaa

Well-known Member
Joined
May 25, 2005
Messages
751
Office Version
  1. 365
Platform
  1. Windows
given the range below (much bigger in my data) I want to combine/collapse Monday for the week into Tuesdays values for the week per product. currently 2 products. so 4 rows in row 10-13 would collapse into 2 rows, and leave Tuesday and sum Monday into Tuesday for each product. i assume PwrQry is best solution (please advise) thanks

row12; 8/29/2022, TEST_B CDX, 219, 3, Tuesday
row13; 8/29/2022, TEST_A, 131, 3, Tuesday

powerquery_question, MrExcel.xlsx
ABCDE
1dateproducttestweekdayNumWeekDay
28/24/2022TEST_A2264Wednesday
38/24/2022TEST_A2114Wednesday
48/25/2022TEST_B CDX2395Thursday
58/25/2022TEST_A2025Thursday
68/26/2022TEST_B CDX2676Friday
78/26/2022TEST_A1836Friday
88/27/2022TEST_B CDX2337Saturday
98/27/2022TEST_A1857Saturday
108/29/2022TEST_B CDX102Monday
118/29/2022TEST_A42Monday
128/30/2022TEST_B CDX2093Tuesday
138/30/2022TEST_A1273Tuesday
148/31/2022TEST_B CDX2434Wednesday
158/31/2022TEST_A1924Wednesday
169/1/2022TEST_A2015Thursday
179/1/2022TEST_B CDX2395Thursday
189/2/2022TEST_A2356Friday
199/2/2022TEST_B CDX2656Friday
209/3/2022TEST_B CDX2447Saturday
219/3/2022TEST_A1887Saturday
229/6/2022TEST_B CDX83Tuesday
239/6/2022TEST_A53Tuesday
249/7/2022TEST_A1524Wednesday
259/7/2022TEST_B CDX1584Wednesday
269/8/2022TEST_A2165Thursday
279/8/2022TEST_B CDX2265Thursday
289/9/2022TEST_A1636Friday
299/9/2022TEST_B CDX2456Friday
309/10/2022TEST_B CDX2147Saturday
319/10/2022TEST_A1607Saturday
329/12/2022TEST_A182Monday
339/12/2022TEST_B CDX182Monday
349/13/2022TEST_A1443Tuesday
359/13/2022TEST_B CDX1713Tuesday
369/14/2022TEST_A1744Wednesday
379/14/2022TEST_B CDX1974Wednesday
389/15/2022TEST_A1825Thursday
399/15/2022TEST_B CDX2515Thursday
409/16/2022TEST_A1966Friday
419/16/2022TEST_B CDX2466Friday
429/17/2022TEST_A2067Saturday
439/17/2022TEST_B CDX2777Saturday
449/19/2022TEST_A112Monday
459/19/2022TEST_B CDX92Monday
469/20/2022TEST_A1533Tuesday
479/20/2022TEST_B CDX1833Tuesday
489/21/2022TEST_A1514Wednesday
499/21/2022TEST_B CDX2354Wednesday
Sheet4
 

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Power Query: 
let
    Source = Excel.CurrentWorkbook(){[Name="Table4"]}[Content],
    tbl = Table.TransformColumnTypes(Source,{{"date", type date}}),
    tcn = Table.ColumnNames(tbl),
    f = (x, t, fn) => if t then fn(x) else x,
    tbl1 = Table.FromRecords(Table.TransformRows(tbl, (rcd)=>
            let t = rcd[WeekDay] = "Monday" in 
            Record.TransformFields(rcd, {
                {"date", (x)=> f(x,t, each Date.AddDays(_,1))},
                {"WeekDay", (x)=> f(x,t, each "Tuesday")},
                {"weekdayNum", (x)=> f(x, t, each 3)}   }))),
    tbl2 = Table.Group(tbl1, List.RemoveItems(tcn, {"test"}), {{"test", each List.Sum([test]), type number}}),
    Result = Table.ReorderColumns(tbl2,tcn)
in
    Result

Book1
ABCDEFGHIJKL
1dateproducttestweekdayNumWeekDaydateproducttestweekdayNumWeekDay
28/24/2022TEST_A2264Wednesday8/24/2022TEST_A4374Wednesday
38/24/2022TEST_A2114Wednesday8/25/2022TEST_B CDX2395Thursday
48/25/2022TEST_B CDX2395Thursday8/25/2022TEST_A2025Thursday
58/25/2022TEST_A2025Thursday8/26/2022TEST_B CDX2676Friday
68/26/2022TEST_B CDX2676Friday8/26/2022TEST_A1836Friday
78/26/2022TEST_A1836Friday8/27/2022TEST_B CDX2337Saturday
88/27/2022TEST_B CDX2337Saturday8/27/2022TEST_A1857Saturday
98/27/2022TEST_A1857Saturday8/30/2022TEST_B CDX2193Tuesday
108/29/2022TEST_B CDX102Monday8/30/2022TEST_A1313Tuesday
118/29/2022TEST_A42Monday8/31/2022TEST_B CDX2434Wednesday
128/30/2022TEST_B CDX2093Tuesday8/31/2022TEST_A1924Wednesday
138/30/2022TEST_A1273Tuesday9/1/2022TEST_A2015Thursday
148/31/2022TEST_B CDX2434Wednesday9/1/2022TEST_B CDX2395Thursday
158/31/2022TEST_A1924Wednesday9/2/2022TEST_A2356Friday
169/1/2022TEST_A2015Thursday9/2/2022TEST_B CDX2656Friday
179/1/2022TEST_B CDX2395Thursday9/3/2022TEST_B CDX2447Saturday
189/2/2022TEST_A2356Friday9/3/2022TEST_A1887Saturday
199/2/2022TEST_B CDX2656Friday9/6/2022TEST_B CDX83Tuesday
209/3/2022TEST_B CDX2447Saturday9/6/2022TEST_A53Tuesday
219/3/2022TEST_A1887Saturday9/7/2022TEST_A1524Wednesday
229/6/2022TEST_B CDX83Tuesday9/7/2022TEST_B CDX1584Wednesday
239/6/2022TEST_A53Tuesday9/8/2022TEST_A2165Thursday
249/7/2022TEST_A1524Wednesday9/8/2022TEST_B CDX2265Thursday
259/7/2022TEST_B CDX1584Wednesday9/9/2022TEST_A1636Friday
269/8/2022TEST_A2165Thursday9/9/2022TEST_B CDX2456Friday
279/8/2022TEST_B CDX2265Thursday9/10/2022TEST_B CDX2147Saturday
289/9/2022TEST_A1636Friday9/10/2022TEST_A1607Saturday
299/9/2022TEST_B CDX2456Friday9/13/2022TEST_A1623Tuesday
309/10/2022TEST_B CDX2147Saturday9/13/2022TEST_B CDX1893Tuesday
319/10/2022TEST_A1607Saturday9/14/2022TEST_A1744Wednesday
329/12/2022TEST_A182Monday9/14/2022TEST_B CDX1974Wednesday
339/12/2022TEST_B CDX182Monday9/15/2022TEST_A1825Thursday
349/13/2022TEST_A1443Tuesday9/15/2022TEST_B CDX2515Thursday
359/13/2022TEST_B CDX1713Tuesday9/16/2022TEST_A1966Friday
369/14/2022TEST_A1744Wednesday9/16/2022TEST_B CDX2466Friday
379/14/2022TEST_B CDX1974Wednesday9/17/2022TEST_A2067Saturday
389/15/2022TEST_A1825Thursday9/17/2022TEST_B CDX2777Saturday
399/15/2022TEST_B CDX2515Thursday9/20/2022TEST_A1643Tuesday
409/16/2022TEST_A1966Friday9/20/2022TEST_B CDX1923Tuesday
419/16/2022TEST_B CDX2466Friday9/21/2022TEST_A1514Wednesday
429/17/2022TEST_A2067Saturday9/21/2022TEST_B CDX2354Wednesday
439/17/2022TEST_B CDX2777Saturday
449/19/2022TEST_A112Monday
459/19/2022TEST_B CDX92Monday
469/20/2022TEST_A1533Tuesday
479/20/2022TEST_B CDX1833Tuesday
489/21/2022TEST_A1514Wednesday
499/21/2022TEST_B CDX2354Wednesday
50
Sheet3
 
Upvote 0
thanks. works as expected. M language seems very powerful but also difficult to understand, so thanks

side question... once i have my transformations, is there a way M language (PQ) can export to csv? i see solutions that involve DAX Studio and manually selecting "Export File", looking for an automated solution thru PQ. Possible? thanks
 
Upvote 0
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