Forum Discussion
Need Help on sumif & Countif
Hi All I have mention below data.
Need to apply formula to get the data.
| Reference | Amountindoccurr | Concatenate | Sum | CountIF | MR8M |
| 000000079314 | -22000 | 00000007931422000 | -22000 | 3 | 1 |
| 000000079314 | 22000 | 00000007931422000 | -22000 | 3 | 1 |
| 000000079314 | -22000 | 00000007931422000 | -22000 | 3 | 1 |
| 000000080007CO | -7500 | 000000080007CO7500 | -7500 | 1 | 0 |
| 0000009 | -1500 | 00000091500 | -1500 | 1 | 0 |
| 0000035 | -750 | 0000035750 | -750 | 1 | 0 |
| 0000053314 | -2500 | 00000533142500 | -2500 | 1 | 0 |
| 0000053475 | -225 | 0000053475225 | -225 | 1 | 0 |
| 0000068 | -610 | 0000068610 | -610 | 1 | 0 |
| 0000103 | -580 | 0000103580 | -580 | 1 | 0 |
| 0000111702 | -780 | 0000111702780 | -780 | 1 | 0 |
| 00001166100 | -138239.79 | 00001166100138239.79 | -138240 | 1 | 0 |
| 00001167721 | -138239.79 | 00001167721138239.79 | -138240 | 1 | 0 |
| 000013 | 10000 | 00001310000 | 0 | 2 | 0 |
| 0000143884 | -7339.5 | 00001438847339.5 | -7339.5 | 1 | 0 |
| 0000154 | -7500 | 00001547500 | -7500 | 3 | 1 |
| 0000154 | 7500 | 00001547500 | -7500 | 3 | 1 |
| 0000154 | -7500 | 00001547500 | -7500 | 3 | 1 |
| 00001A | -10000 | 00001A10000 | -10000 | 1 | 0 |
| 0000357140 | -6491.52 | 00003571406491.52 | -6491.52 | 1 | 0 |
| 0000357818 | -5091.66 | 00003578185091.66 | -5091.66 | 1 | 0 |
| 0000358656 | -6843.2 | 00003586566843.2 | -6843.2 | 1 | 0 |
| 0000358864 | -6843.2 | 00003588646843.2 | -6843.2 | 1 | 0 |
| 0000358924 | -2217.98 | 00003589242217.98 | -2217.98 | 1 | 0 |
| 0000358947 | -2216.34 | 00003589472216.34 | -2216.34 | 1 | 0 |
| 0000358949 | -2417.52 | 00003589492417.52 | -2417.52 | 1 | 0 |
| 0000358952 | -7623.28 | 00003589527623.28 | -7623.28 | 1 | 0 |
| 0000358953 | -15024.24 | 000035895315024.24 | -15024.2 | 1 | 0 |
| 0000358997 | -2417.92 | 00003589972417.92 | -2417.92 | 1 | 0 |
| 0000359027 | -1977.86 | 00003590271977.86 | -1977.86 | 1 | 0 |
| 0000359050 | -2441.12 | 00003590502441.12 | -2441.12 | 1 | 0 |
| 0000359210 | -1365.84 | 00003592101365.84 | -1365.84 | 1 | 0 |
| 0000359210 | -1905.82 | 00003592101905.82 | -1905.82 | 1 | 0 |
| 0000359210 | -3706.24 | 00003592103706.24 | -3706.24 | 1 | 0 |
| 0000359210 | -4902.78 | 00003592104902.78 | -4902.78 | 1 | 0 |
| 0000359217 | -1365.84 | 00003592171365.84 | -1365.84 | 1 | 0 |
| 0000359217 | -2115.36 | 00003592172115.36 | -2115.36 | 1 | 0 |
| 0000359729 | -1981.51 | 00003597291981.51 | -1981.51 | 1 | 0 |
| 0000359746 | -1977.86 | 00003597461977.86 | -3955.72 | 2 | 0 |
| 0000359746 | -1977.86 | 00003597461977.86 | -3955.72 | 2 | 0 |
| 0000359746 | -4902.78 | 00003597464902.78 | -4902.78 | 1 | 0 |
| 0000359751 | -3903.74 | 00003597513903.74 | -3903.74 | 1 | 0 |
| 0000359783 | -7623.28 | 00003597837623.28 | -7623.28 | 1 | 0 |
| 0000359804 | -2417.52 | 00003598042417.52 | -2417.52 | 1 | 0 |
| 0000359805 | -2417.52 | 00003598052417.52 | -2417.52 | 1 | 0 |
| 0000359807 | -4902.78 | 00003598074902.78 | -4902.78 | 1 | 0 |
| 0000359807 | -5755.34 | 00003598075755.34 | -5755.34 | 1 | 0 |
| 0000359827 | -2155.01 | 00003598272155.01 | -2155.01 | 1 | 0 |
| 0000359830 | -2417.52 | 00003598302417.52 | -2417.52 | 1 | 0 |
| 0000359839 | -4435.98 | 00003598394435.98 | -4435.98 | 1 | 0 |
| 0000359841 | -2417.52 | 00003598412417.52 | -2417.52 | 1 | 0 |
| 0000359842 | -2217.98 | 00003598422217.98 | -4435.96 | 2 | 0 |
| 0000359842 | -2217.98 | 00003598422217.98 | -4435.96 | 2 | 0 |
| 0000359883 | -4435.98 | 00003598834435.98 | -4435.98 | 1 | 0 |
| 0000359909 | -2597.06 | 00003599092597.06 | -2597.06 | 1 | 0 |
| 0000359939 | -1494.72 | 00003599391494.72 | -1494.72 | 1 | 0 |
| 0000359942 | -2216.34 | 00003599422216.34 | -2216.34 | 1 | 0 |
| 0000359944 | -5234.69 | 00003599445234.69 | -10469.4 | 2 | 0 |
| 0000359944 | -15585.8 | 000035994415585.8 | -46757.4 | 3 | 0 |
| 0000359944 | -5234.69 | 00003599445234.69 | -10469.4 | 2 | 0 |
| 0000359944 | -15585.8 | 000035994415585.8 | -46757.4 | 3 | 0 |
| 0000359944 | -15585.8 | 000035994415585.8 | -46757.4 | 3 | 0 |
| 0000359977 | -15585.8 | 000035997715585.8 | -15585.8 | 1 | 0 |
| 0000360003 | -3577.64 | 00003600033577.64 | -7155.28 | 2 | 0 |
| 0000360003 | -2551.43 | 00003600032551.43 | -7654.29 | 3 | 0 |
| 000080052658 | -23782.62 | 00008005265823782.62 | -23782.6 | 1 | 0 |
| 000080169978 | -5559.35 | 0000801699785559.35 | -5559.35 | 1 | 0 |
| 000080219852 | -23782.62 | 00008021985223782.62 | -23782.6 | 1 | 0 |
| 000080220447 | -6710.18 | 0000802204476710.18 | -6710.18 | 1 | 0 |
| 000080317998 | -5765.01 | 0000803179985765.01 | -5765.01 | 1 | 0 |
| 000080323215 | -36866.66 | 00008032321536866.66 | -36866.7 | 1 | 0 |
| 000080400574 | -23782.62 | 00008040057423782.62 | -23782.6 | 1 | 0 |
| 000080556495 | -23782.62 | 00008055649523782.62 | -23782.6 | 1 | 0 |
| 000080661862 | -36866.66 | 00008066186236866.66 | -36866.7 | 1 | 0 |
| 000080661870 | -36866.66 | 00008066187036866.66 | -36866.7 | 1 | 0 |
| 000080661908 | -36866.66 | 00008066190836866.66 | -36866.7 | 1 | 0 |
| 000080746270 | -36866.66 | 00008074627036866.66 | -36866.7 | 1 | 0 |
| 000080746319 | -36866.66 | 00008074631936866.66 | -36866.7 | 1 | 0 |
| 000080746369 | -36866.66 | 00008074636936866.66 | -36866.7 | 1 | 0 |
| 000080746548 | -36866.66 | 00008074654836866.66 | -36866.7 | 1 | 0 |
| 000080746597 | -36866.66 | 00008074659736866.66 | -36866.7 | 1 | 0 |
| 000080807757 | -23782.62 | 00008080775723782.62 | -23782.6 | 1 | 0 |
| 000080860392 | -7382.5 | 0000808603927382.5 | -7382.5 | 1 | 0 |
| 000081033565 | -23782.62 | 00008103356523782.62 | -23782.6 | 1 | 0 |
| 000081033998 | -23782.62 | 00008103399823782.62 | -23782.6 | 1 | 0 |
| 000081034251 | -23782.62 | 00008103425123782.62 | -23782.6 | 1 | 0 |
| 000081034359 | -23782.62 | 00008103435923782.62 | -23782.6 | 1 | 0 |
| 000081037536 | -36866.66 | 00008103753636866.66 | -36866.7 | 1 | 0 |
| 000081090212 | -6544.56 | 0000810902126544.56 | -6544.56 | 1 | 0 |
| 000081154275 | -36866.66 | 00008115427536866.66 | -36866.7 | 1 | 0 |
| 000081228935 | -23782.62 | 00008122893523782.62 | -23782.6 | 1 | 0 |
| 000081544261 | -23782.62 | 00008154426123782.62 | -23782.6 | 1 | 0 |
| 000081575694 | -23782.62 | 00008157569423782.62 | -23782.6 | 1 | 0 |
| 000081708242 | -3557.61 | 0000817082423557.61 | -3557.61 | 1 | 0 |
| 000081740534 | -36866.66 | 00008174053436866.66 | -36866.7 | 1 | 0 |
| 000081764801 | -23782.62 | 00008176480123782.62 | -23782.6 | 1 | 0 |
| 000081764981 | -23782.62 | 00008176498123782.62 | -23782.6 | 1 | 0 |
| 000081765214 | -28308.06 | 00008176521428308.06 | -28308.1 | 1 | 0 |
| 000081765527 | -4027.84 | 0000817655274027.84 | -4027.84 | 1 | 0 |
| 000081769705 | -36866.66 | 00008176970536866.66 | -36866.7 | 1 | 0 |
| 000081769732 | -36866.66 | 00008176973236866.66 | -36866.7 | 1 | 0 |
| 000081789245 | -24285.75 | 00008178924524285.75 | -24285.8 | 1 | 0 |
| 000081860714 | -36866.66 | 00008186071436866.66 | -36866.7 | 1 | 0 |
| 000081860724 | -36866.66 | 00008186072436866.66 | -36866.7 | 1 | 0 |
| 000081909702 | -23782.62 | 00008190970223782.62 | -23782.6 | 1 | 0 |
| 000081909862 | -14669.89 | 00008190986214669.89 | -14669.9 | 1 | 0 |
| 000081910259 | -23782.62 | 00008191025923782.62 | -23782.6 | 1 | 0 |
| 000081936518 | -36866.66 | 00008193651836866.66 | -36866.7 | 1 | 0 |
| 000081959029 | -24285.75 | 00008195902924285.75 | -24285.8 | 1 | 0 |
| 000082069809 | -3557.61 | 0000820698093557.61 | -3557.61 | 1 | 0 |
| 000082069810 | -3557.61 | 0000820698103557.61 | -3557.61 | 1 | 0 |
| 000082069813 | -3557.61 | 0000820698133557.61 | -3557.61 | 1 | 0 |
| 000082069918 | -3177.89 | 0000820699183177.89 | -3177.89 | 1 | 0 |
| 000082069921 | -3177.89 | 0000820699213177.89 | -3177.89 | 1 | 0 |
| 000082069924 | -3177.89 | 0000820699243177.89 | -3177.89 | 1 | 0 |
| 000082124391 | -23782.62 | 00008212439123782.62 | -23782.6 | 1 | 0 |
| 000082129754 | -36866.66 | 00008212975436866.66 | -36866.7 | 1 | 0 |
| 000082155009 | -3177.89 | 0000821550093177.89 | -3177.89 | 1 | 0 |
| 000082237596 | -23782.62 | 00008223759623782.62 | -23782.6 | 1 | 0 |
| 000082237619 | -14669.89 | 00008223761914669.89 | -14669.9 | 1 | 0 |
| 000082237659 | -14669.89 | 00008223765914669.89 | -14669.9 | 1 | 0 |
| 000082263438 | -36866.66 | 00008226343836866.66 | -36866.7 | 1 | 0 |
| 000082263440 | -36866.66 | 00008226344036866.66 | -36866.7 | 1 | 0 |
| 000082274976 | -36866.66 | 00008227497636866.66 | -36866.7 | 1 | 0 |
| 000082275056 | -23782.62 | 00008227505623782.62 | -23782.6 | 1 | 0 |
| 000082400188 | -4695.73 | 0000824001884695.73 | -4695.73 | 1 | 0 |
| 000082426591 | -36866.66 | 00008242659136866.66 | -36866.7 | 1 | 0 |
| 000082427476 | -13542.88 | 00008242747613542.88 | -13542.9 | 1 | 0 |
| 000082454098 | -3177.89 | 0000824540983177.89 | -3177.89 | 1 | 0 |
| 000082454108 | -3177.89 | 0000824541083177.89 | -3177.89 | 1 | 0 |
| 000082454110 | -14669.89 | 00008245411014669.89 | -14669.9 | 1 | 0 |
| 000082454148 | -36866.66 | 00008245414836866.66 | -36866.7 | 1 | 0 |
| 000082474871 | -33024.68 | 00008247487133024.68 | -33024.7 | 1 | 0 |
| 000082475444 | -9524.05 | 0000824754449524.05 | -9524.05 | 1 | 0 |
| 000082484424 | -3177.89 | 0000824844243177.89 | -3177.89 | 1 | 0 |
| 000082484870 | -5107.11 | 0000824848705107.11 | -5107.11 | 1 | 0 |
| 000082484876 | -4408.54 | 0000824848764408.54 | -4408.54 | 1 | 0 |
| 000082484886 | -4408.54 | 0000824848864408.54 | -4408.54 | 1 | 0 |
| 000082484894 | -5223.38 | 0000824848945223.38 | -5223.38 | 1 | 0 |
| 000082485079 | -4408.54 | 0000824850794408.54 | -4408.54 | 1 | 0 |
| 000082485207 | -940.25 | 000082485207940.25 | -940.25 | 1 | 0 |
| 000082530541 | -5164.9 | 0000825305415164.9 | -5164.9 | 1 | 0 |
| 000082530981 | -4695.73 | 0000825309814695.73 | -4695.73 | 1 | 0 |
| 000082531004 | -5784.55 | 0000825310045784.55 | -5784.55 | 1 | 0 |
| 000082531016 | -4695.73 | 0000825310164695.73 | -4695.73 | 1 | 0 |
| 000082531017 | -5016.53 | 0000825310175016.53 | -5016.53 | 1 | 0 |
| 000082531045 | -5304.83 | 0000825310455304.83 | -5304.83 | 1 | 0 |
| 000082531099 | -5376.61 | 0000825310995376.61 | -5376.61 | 1 | 0 |
| 000082531150 | -4027.84 | 0000825311504027.84 | -4027.84 | 1 | 0 |
| 000082531216 | -28308.06 | 00008253121628308.06 | -28308.1 | 1 | 0 |
| 000082536356 | -33024.68 | 00008253635633024.68 | -33024.7 | 1 | 0 |
| 000082555185 | -2650.41 | 0000825551852650.41 | -2650.41 | 1 | 0 |
| 000082555727 | -6679.64 | 0000825557276679.64 | -6679.64 | 1 | 0 |
| 000082576746 | -8581.62 | 0000825767468581.62 | -8581.62 | 1 | 0 |
| 000082576903 | -5107.11 | 0000825769035107.11 | -5107.11 | 1 | 0 |
| 000082576908 | -4408.54 | 0000825769084408.54 | -8817.08 | 2 | 0 |
| 000082576908 | -4408.54 | 0000825769084408.54 | -8817.08 | 2 | 0 |
| 000082576910 | -4408.54 | 0000825769104408.54 | -8817.08 | 2 | 0 |
KuntalSingh, go ahead and try it, and if you hit any snags, just reach out.
in power query, create a new column= Table.AddColumn(YourTableName, "ConcatenatedColumn", each [A] & Number.ToText(Number.Abs([B])))SUMIF:
let GroupedTable = Table.Group(YourTableName, {"C"}, {{"SumColumn", each List.Sum([B]), type number}}), MergedTable = Table.NestedJoin(YourTableName, {"C"}, GroupedTable, {"C"}, "MergedColumn", JoinKind.LeftOuter), ExpandedTable = Table.ExpandTableColumn(MergedTable, "MergedColumn", {"SumColumn"}, {"SumColumn"}) in ExpandedTableCOUNTIF:
let GroupedTable = Table.Group(YourTableName, {"C"}, {{"CountColumn", each Table.RowCount(_), Int64.Type}}), MergedTable = Table.NestedJoin(YourTableName, {"C"}, GroupedTable, {"C"}, "MergedColumn", JoinKind.LeftOuter), ExpandedTable = Table.ExpandTableColumn(MergedTable, "MergedColumn", {"CountColumn"}, {"CountColumn"}) in ExpandedTableCOUNTIF MR8M:
= Table.AddColumn(YourTableName, "CountMR8M", each if [D] = "MR8M" then 1 else 0)sum count
let SummedTable = Table.Group(YourTableName, {}, {{"TotalMR8M", each List.Sum([CountMR8M]), type number}}) in SummedTable:in power query create custom column:
= Table.AddColumn(YourTableName, "Condition1", each if [D] = 3 and [E] > 1 then "True" else "False")create custom column
= Table.AddColumn(YourTableName, "Condition2", each if Number.Mod([B], 2) = 0 and [F] = 0 and [G] = 0 then "True" else "False")Did I answer your question? If so, please mark my post as the solution!
Your Kudos are much appreciated! Proud to be a Resolver III !
11 Replies
- jennrattenSuper User
Hello - can you please provide an example of the expected result so we can better understand what you are trying to accomplish? The description provided is a bit confusing. Thanks!
- KuntalSinghHelper V
Thanks for prompt reply
This is input data
Reference Amountindoccurr 199065 -10.7 199065 -10.7 NY15-00064666 12.9 NY15-00064666 -12.9 9125964099 -15.28 9125964099 15.28 9125964099 15.28 9125964099 -15.28 4130245299 -20.47 4130245299 20.47 NY15-00064588 20.5 NY15-00064588 -20.5 S111229788001 -149.48 S111229788001 149.48 31071227 -311.61 31071227 -311.61 9880021804 82.24 9880021804 82.24 NY15-00059334 281.2 NY15-00059334 -281.2 NY15-00059334 281.2 NY15-00059334 -281.2 9923837950 -382.63 9923837950 -382.63 9930189072 -127.54 9930189072 -127.54 1706974 -223.24 1706974 -223.24 2376117 343.2 2376117 -343.2 10750240000220 -198.33 10750240000220 -198.33 I402230584 -154 I402230584 -154 I403081025 -437.34 I403081025 437.34 I403081025 -437.34 9104797676 -83.41 9104797676 83.41 INV-82351728083 -109.88 INV-82351728083 109.88 198141192 -102.84 198141192 102.84 198141192 102.84 198141192 -102.84 198141192 -102.84 198141192 102.84 AR2108052 -159.38 AR2108052 159.38 187202684 95 187202684 -95 187202685 95 187202685 -95 187203048 -100 187203048 100 187203046 205 187203046 -205 03S7548890 -321.5 03S7548890 -321.5 187203047 80 187203047 -80 NY15-00064557 71.2 NY15-00064557 -71.2 187203367 -243.62 187203367 243.62 NY15-00064594 53.62 NY15-00064594 -53.62 NY15-00064584 -262.64 NY15-00064584 262.64 NY15-00064674 65.5 NY15-00064674 -65.5 4198862563 -248.2 4198862563 248.2 4198862563 -248.2 SI-18621 -293.73 SI-18621 -293.73 SI-18621 293.73 198143236 -102.84 198143236 102.84 198143236 -102.84 198143236 102.84 198143239 102.84 198143239 -102.84 198143239 -102.84 198143239 102.84 NY15-00064825 109.3 NY15-00064825 -109.3 SVC606275 -164.82 SVC606275 -164.82 SVC606274 -206.03 SVC606274 -206.03 198144085 56.02 198144085 -56.02 198144085 56.02 198144085 -56.02 198144086 56.03 198144086 -56.03 198144086 -56.03 198144086 56.03 198144079 -112.04 198144079 -112.04 198144079 112.04 198144079 112.04 198144080 -280.09 198144080 -280.09 198144080 280.09 198144080 280.09 198144087 -280.11 198144087 280.11 198144087 -280.11 198144087 280.11 198144078 480.62 198144078 -480.62 198144078 480.62 198144078 -480.62 5019015752 -124.07 5019015752 -124.07 AR2113693 159.38 AR2113693 -159.38 H1032801 247.8 H1032801 -247.8 H1013701 294.12 H1013701 -294.12 H0994001 397.08 H0994001 -397.08 147455353 101.65 147455353 -101.65 147455492 101.65 147455492 -101.65 147455493 101.65 187203046 205 Output should be
Reference Amountindoccurr Concatenate Sum CountIF MR8M Comments 000000079314 -22000 00000007931422000 -22000 3 1 Less priority 000000079314 22000 00000007931422000 -22000 3 1 Less priority 000000079314 -22000 00000007931422000 -22000 3 1 Less priority 000000080007CO -7500 000000080007CO7500 -7500 1 0 0000009 -1500 00000091500 -1500 1 0 0000035 -750 0000035750 -750 1 0 - ahadkarimiSolution Specialist
Hey KuntalSingh, try this and let me know if you encounter any issues.
In a new sheet:=A2 & ABS(B2)=SUMIF($C$2:$C$100, C2, $B$2:$B$100)=COUNTIF($C$2:$C$100, C2)=COUNTIF(D:D, "MR8M")
Home-> Conditional Formatting -> New Rule:=AND($D2=3, $E2>1)Home-> Conditional Formatting -> New Rule:
=AND(MOD($B2, 2)=0, $F2=0, $G2=0)
- p45calSolution Supplier
re: "Countif MR8M text in the column Text"
How do you determine MR8M ? I don't see it anywhere among the data.
- KuntalSinghHelper V
Thanks for your prompt reply
This is my raw data
Scripts Source Vendor VendorName CompanyCode FiscalYear DocumentType DocumentDate PostingKey PostingDate DocumentNumber Reference Amountindoccurr Documentcurrency Amountinlocalcurrency LocalCurrency Clearingdate Text Netduedate Value CC S(0-25)-1 SAP 2003178780 US29 2024 RE 28-02-2023 31 01-08-2024 5101197126 199065 -10.7 USD -10.7 USD VR:Pay-as-billed 4/29/2023 Below 10K 51011971262024US29 19906510.7 S(0-25)-1 SAP 2003215158 US29 2023 RE 28-02-2023 31 25-03-2023 5100017080 199065 -10.7 USD -10.7 USD VR:Pay-as-billed 4/29/2023 Below 10K 51000170802023US29 19906510.7 S(0-25)-1 SAP 2003155708 US28 2024 RE 11-07-2024 21 31-07-2024 5101413528 NY15-00064666 12.9 USD 12.9 USD MR8M 11/8/2024 Below 10K 51014135282024US28 NY15-0006466612.9 S(0-25)-1 SAP 2003155708 US28 2024 RE 11-07-2024 31 20-07-2024 5101491591 NY15-00064666 -12.9 USD -12.9 USD 11/8/2024 Below 10K 51014915912024US28 NY15-0006466612.9 S(0-25)-1 SAP 2000022228 US28 2024 RE 21-05-2024 31 23-07-2024 5101566015 9125964099 -15.28 USD -15.28 USD VR:Pay-as-billed 9/18/2024 Below 10K 51015660152024US28 912596409915.28 S(0-25)-1 SAP 2000022228 US28 2024 RE 21-05-2024 21 23-07-2024 5101567516 9125964099 15.28 USD 15.28 USD VR:Pay-as-billed 9/18/2024 Below 10K 51015675162024US28 912596409915.28 S(0-25)-1 SAP 2000022228 US28 2024 RE 21-05-2024 21 31-07-2024 5101752521 9125964099 15.28 USD 15.28 USD VR:Pay-as-billed 9/18/2024 Below 10K 51017525212024US28 912596409915.28 S(0-25)-1 SAP 2000022228 US28 2024 RE 21-05-2024 31 05-06-2024 5101874011 9125964099 -15.28 USD -15.28 USD VR:Pay-as-billed 9/18/2024 Below 10K 51018740112024US28 912596409915.28 S(0-25)-1 SAP 2004365991 VESTIS GROUP INC US29 2024 RE 17-07-2024 31 01-08-2024 5101149040 4130245299 -20.47 USD -20.47 USD VR:Full Accrual 9/15/2024 Below 10K 51011490402024US29 413024529920.47 S(0-25)-1 SAP 2004365991 VESTIS GROUP INC US29 2024 RE 17-07-2024 21 01-08-2024 5101984655 4130245299 20.47 USD 20.47 USD VR:Full Accrual 9/15/2024 Below 10K 51019846552024US29 413024529920.47 S(0-25)-1 SAP 2003155708 US28 2024 RE 05-07-2024 21 31-07-2024 5101413527 NY15-00064588 20.5 USD 20.5 USD VR:Full Accrual 11/2/2024 Below 10K 51014135272024US28 NY15-0006458820.5 S(0-25)-1 SAP 2003155708 US28 2024 RE 05-07-2024 31 11-07-2024 5101575516 NY15-00064588 -20.5 USD -20.5 USD VR:Full Accrual 11/2/2024 Below 10K 51015755162024US28 NY15-0006458820.5 S(25-60)-1 SAP 110076660 SUPPLYFORCE 1000 2024 RE 03-12-2020 31 01-08-2024 5135751891 S111229788001 -149.48 USD -149.48 USD TICKET SCTASK7507362 2/1/2021 Below 10K 513575189120241000 S111229788001149.48 S(25-60)-1 SAP 110077236 KIRBY RISK ELECTRICAL SUPPLY 1000 2024 ZC 03-12-2020 21 01-08-2024 5135751741 S111229788001 149.48 USD 149.48 USD MR8M 2/1/2021 Below 10K 513575174120241000 S111229788001149.48 S(25-60)-1 SAP 110013648 INGERSOLL RAND CO 1000 2023 RE 11-07-2023 31 17-07-2023 5132476310 31071227 -311.61 USD -311.61 USD 9/9/2023 Below 10K 513247631020231000 31071227311.61 S(25-60)-1 SAP 110013648 INGERSOLL RAND CO 1000 2024 RE 11-07-2023 31 31-07-2024 5135737969 31071227 -311.61 USD -311.61 USD TICKET SCTASK7538918 9/9/2023 Below 10K 513573796920241000 31071227311.61 S(25-60)-1 SAP 10037358 GRAINGER INC 1000 2024 RE 23-10-2023 21 31-07-2024 5135738340 9880021804 82.24 USD 82.24 USD 7/31/2024 SCTASK7541285 10/23/2023 Below 10K 513573834020241000 988002180482.24 S(25-60)-1 SAP 110089815 GRAINGER INC CR 1000 2024 RE 23-10-2023 21 09-07-2024 5135513389 9880021804 82.24 USD 82.24 USD 10/23/2023 Below 10K 513551338920241000 988002180482.24 S(25-60)-1 SAP 2003155708 US28 2024 RE 16-11-2023 21 31-07-2024 5100822034 NY15-00059334 281.2 USD 281.2 USD MR8M 3/15/2024 Below 10K 51008220342024US28 NY15-00059334281.2 S(25-60)-1 SAP 2003155708 US28 2024 RE 16-11-2023 31 10-07-2024 5101126254 NY15-00059334 -281.2 USD -281.2 USD 3/15/2024 Below 10K 51011262542024US28 NY15-00059334281.2 S(25-60)-1 SAP 2003155708 US28 2024 RE 16-11-2023 21 01-07-2024 5101239148 NY15-00059334 281.2 USD 281.2 USD VR:Full Accrual 3/15/2024 Below 10K 51012391482024US28 NY15-00059334281.2 S(25-60)-1 SAP 2003155708 US28 2024 RE 16-11-2023 31 02-05-2024 5101580014 NY15-00059334 -281.2 USD -281.2 USD VR:Full Accrual 3/15/2024 Below 10K 51015800142024US28 NY15-00059334281.2 S(25-60)-1 SAP 10037358 GRAINGER INC 1000 2023 RE 05-12-2023 31 22-12-2023 5133914906 9923837950 -382.63 USD -382.63 USD Dept#C-PAY 1/9/2024 Below 10K 513391490620231000 9923837950382.63 S(25-60)-1 SAP 10072931 GRAINGER INC 1000 2024 RE 05-12-2023 31 01-08-2024 5135751575 9923837950 -382.63 USD -382.63 USD 1/9/2024 Below 10K 513575157520241000 9923837950382.63 S(25-60)-1 SAP 10037358 GRAINGER INC 1000 2023 RE 11-12-2023 31 27-12-2023 5133931734 9930189072 -127.54 USD -127.54 USD 1/15/2024 Below 10K 513393173420231000 9930189072127.54 S(25-60)-1 SAP 10072931 GRAINGER INC 1000 2024 RE 11-12-2023 31 31-07-2024 5135737845 9930189072 -127.54 USD -127.54 USD 1/15/2024 Below 10K 513573784520241000 9930189072127.54 S(25-60)-1 SAP 10031849 IOWA FLUID POWER 1000 2024 RE 20-12-2023 31 30-07-2024 5135726814 1706974 -223.24 USD -223.24 USD 2/18/2024 Below 10K 513572681420241000 1706974223.24 S(25-60)-1 SAP 10033192 IOWA FLUID POWER 1000 2024 RE 20-12-2023 31 31-07-2024 5135726814 1706974 -223.24 USD -223.24 USD 2/18/2024 Below 10K 513572681420241000 1706974223.24 S(25-60)-1 SAP 2000018636 US28 2024 RE 02-02-2024 21 01-08-2024 5100826506 2376117 343.2 USD 343.2 USD VR:Pay-as-billed 4/2/2024 Below 10K 51008265062024US28 2376117343.2 S(25-60)-1 SAP 2000018636 US28 2024 RE 02-02-2024 31 19-02-2024 5100961501 2376117 -343.2 USD -343.2 USD VR:Pay-as-billed 4/2/2024 Below 10K 51009615012024US28 2376117343.2 S(25-60)-1 SAP 110080769 SAP AMERICA INC 1000 2024 RE 13-02-2024 31 01-08-2024 5134521776 10750240000220 -198.33 USD -198.33 USD SCTASK7547652 4/13/2024 Below 10K 513452177620241000 10750240000220198.33 S(25-60)-1 SAP 110081079 SUCCESSFACTORS INC 1000 2024 RE 13-02-2024 31 06-03-2024 5134521776 10750240000220 -198.33 USD -198.33 USD Below 10K 513452177620241000 10750240000220198.33 S(25-60)-1 SAP 110088296 CINTAS FIRE NATIONAL ACCOUNTS 1000 2024 RE 23-02-2024 31 13-06-2024 5135336621 I402230584 -154 USD -154 USD 4/23/2024 Below 10K 513533662120241000 I402230584154 S(25-60)-1 SAP 110088296 CINTAS FIRE NATIONAL ACCOUNTS 1000 2024 RE 23-02-2024 31 31-07-2024 5135738154 I402230584 -154 USD -154 USD 4/23/2024 Below 10K 513573815420241000 I402230584154 S(25-60)-1 SAP 2003183692 US29 2024 RE 08-03-2024 31 10-05-2024 5100937885 I403081025 -437.34 USD -437.34 USD VR:Pay-as-billed 5/7/2024 Below 10K 51009378852024US29 I403081025437.34 S(25-60)-1 SAP 2003183692 US29 2024 RE 08-03-2024 21 11-07-2024 5101564525 I403081025 437.34 USD 437.34 USD VR:Pay-as-billed 5/7/2024 Below 10K 51015645252024US29 I403081025437.34 S(25-60)-1 SAP 2004015811 US29 2024 RE 08-03-2024 31 01-08-2024 5101111176 I403081025 -437.34 USD -437.34 USD VR:Pay-as-billed 5/7/2024 Below 10K 51011111762024US29 I403081025437.34 S(25-60)-1 SAP 2000022228 US28 2024 RE 01-05-2024 31 10-05-2024 5100965506 9104797676 -83.41 USD -83.41 USD 8/29/2024 Below 10K 51009655062024US28 910479767683.41 S(25-60)-1 SAP 2000022228 US28 2024 RE 01-05-2024 21 31-07-2024 5101205008 9104797676 83.41 USD 83.41 USD MR8M 8/29/2024 Below 10K 51012050082024US28 910479767683.41 - p45calSolution Supplier
I've made a start in the linked-to workbook below using the data in your last reply.
There's a Power Query query table at cell AI3.
Curious that some date columns are UK-style dates and others US-style dates!
Your data has been grouped by the first 2 columns. There's only F-44 Clearing in the Comment column because no other comment applies in your data.
The workbook: https://app.box.com/s/qv411rzbbntw4bt9be6h81x7ihgyk1hr