How do I transform this table ?

[JL0101]

How would I convert this table 1 below using m code 

table 1

NRM Code	Version Date	Vol (Sum)
02.01.04.01	17/01/2023	636.8166937
01.01.02.12	17/01/2023	730.9046459
02.02.01.01	17/01/2023	7098.979422
02.03.01.04	17/01/2023	2547.531327
01.01.02.13	17/01/2023	133.2549991
02.01.04.02	17/01/2023	1830.027974
02.01.04.03	17/01/2023	2108.871048
01.01.02.04	17/01/2023	5486.499548
01.01.05.01	17/01/2023	1898.504378
01.01.03.01	17/01/2023	6038.022427
01.01.05.06	17/01/2023	10090.45564
01.01.05.18	17/01/2023	1188.122389
02.04.01.01	17/01/2023	34.45970414
99.00.01.88	17/01/2023	0
02.01.01.01	17/01/2023	49.84026733
02.01.05.01	17/01/2023	41.22312498
02.01.04.01	25/01/2023	291.1472298
01.01.02.12	25/01/2023	724.7269464
02.02.01.01	25/01/2023	1918.890891
02.03.01.04	25/01/2023	839.113819
01.01.02.13	25/01/2023	132.4549991
02.01.04.02	25/01/2023	892.1064457
02.01.04.03	25/01/2023	729.7111469
01.01.02.04	25/01/2023	2497.379227
99.00.01.88	25/01/2023	0
01.01.05.01	25/01/2023	196.5305659
01.01.03.01	25/01/2023	432.447384
01.01.05.06	25/01/2023	1217.279487
01.01.05.18	25/01/2023	201.7811789
02.04.01.01	25/01/2023	37.79873231
02.01.01.01	25/01/2023	5.0163181
02.01.05.01	25/01/2023	20.4010378
02.01.04.01	07/02/2023	290.8027298
01.01.02.12	07/02/2023	724.7269464
02.02.01.01	07/02/2023	1918.890891
02.03.01.04	07/02/2023	839.113819
01.01.02.13	07/02/2023	132.4549991
02.01.04.02	07/02/2023	892.1064461
02.01.04.03	07/02/2023	726.7576776
01.01.02.04	07/02/2023	2497.379227
99.00.01.88	07/02/2023	0
01.01.05.01	07/02/2023	196.5305659
01.01.03.01	07/02/2023	432.447384
01.01.05.06	07/02/2023	1217.279487
01.01.05.18	07/02/2023	201.7811789
02.04.01.01	07/02/2023	37.79873231
02.01.01.01	07/02/2023	5.016318065
02.01.05.01	07/02/2023	20.40528602

To table 2

NRM Code	17/01/2023	25/01/2023	07/02/2023
02.01.04.01	636.81669	291.14723	290.80273
01.01.02.12	730.90465	724.72695	724.72695
02.02.01.01	7098.9794	1918.8909	1918.8909
02.03.01.04	2547.5313	839.11382	839.11382
01.01.02.13	133.255	132.455	132.455
02.01.04.02	1830.028	892.10645	892.10645
02.01.04.03	2108.871	729.71115	726.75768
01.01.02.04	5486.4995	2497.3792	2497.3792
01.01.05.01	1898.5044	0	0
01.01.03.01	6038.0224	196.53057	196.53057
01.01.05.06	10090.456	432.44738	432.44738
01.01.05.18	1188.1224	1217.2795	1217.2795
02.04.01.01	34.459704	201.78118	201.78118
99.00.01.88	0	37.798732	37.798732
02.01.01.01	49.840267	5.0163181	5.0163181
02.01.05.01	41.223125	20.401038	20.405286

The items in the second table is the volume 

[JL0101]

Thanks all pivot worked

[Sharma_Yash]

Hey  @JL0101 ,

Copy the following code in Advanced editor:- 

let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"NRM Code " = _t, #"Version Date " = _t, #"Vol (Sum) " = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"NRM Code ", type text}, {"Version Date ", type text}, {"Vol (Sum) ", type number}}),
#"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[#"Version Date "]), "Version Date ", "Vol (Sum) ", List.Sum)
in
#"Pivoted Column"

-If  you get the output, then mark my post as solutions.

[JL0101]

When I carryout the pivot function it works if I limit the row number to 150 but for the acctualy size of the table I get the following error 

Expression.Error: There were too many elements in the enumeration to complete the operation.
Details:
[List]

[ronrsnfld]

Are you certain you are using "Sum" for the Pivot Aggregation as shown in the screenshot?

[Syk · Accepted solution]

Select your version date > Pivot column
Select your volume as values and hit Ok.

[ronrsnfld]

It looks like a pivot. But your numbers don't add up. What algorithm are you using to obtain the values in Table 2 from the data in Table1? 

eg. in Table 1 NRM 1.1.2.12 on 17/01/2023 has a value of 730.9. But in your table 2, it shows 1563.41

[JL0101]

Ah yes I have corrected that now they should be the same.