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Hi community,
I would like to have the following input to be transformed in PowerQuery:
Starting number of output is defined, let's say, 400
Year | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | 2031 | 2032 |
Input | 0 | 2 | 5 | 1 | 0 | 1 | 3 | 0 | 0 | 4 |
Output | 400 | 402 | 407 | 408 | 408 | 409 | 412 | 412 | 412 | 416 |
It basically increments the starting number by the input number.
Can anyone help in getting DAX formula in Power Query for the above result.
Currently, I am just adding a custom column where output columns are [Year.1]
For eg. for column 2024.1, the expression is:
=[2024]+[2023.1]
For 2025.1,
=[2025]+[2024.1]
But this seems way to tedious considering I have high amount of data.
Can anyone help in providing DAX formula for the above results.
Solved! Go to Solution.
Hi @AdityaG
let
data_table = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8swrKC1R0lEyAGIjIDYFYkMoH0QbQ9kgbKIUGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Year = _t, #"2023" = _t, #"2024" = _t, #"2025" = _t, #"2026" = _t, #"2027" = _t, #"2028" = _t, #"2029" = _t, #"2030" = _t, #"2031" = _t, #"2032" = _t]),
source = Table.TransformColumnTypes(data_table,{{"Year", type text}, {"2023", type number}, {"2024", type number}, {"2025", type number}, {"2026", type number}, {"2027", type number}, {"2028", type number}, {"2029", type number}, {"2030", type number}, {"2031", type number}, {"2032", type number}}),
starting_number = 400,
input = Table.ToRows(source){0},
input_list = List.Buffer(List.Skip(input)),
count = List.Count(input_list),
output_list =
List.Generate(
() => [out = starting_number, i = 0],
(x) => x[i] <= count,
(x) => [out = x[out] + input_list{x[i]}, i = x[i] + 1],
(x) => x[out]
),
z = Table.FromRows({input, {"Output"} & List.Skip(output_list)}, Table.ColumnNames(source))
in
z
Hi @AdityaG
let
data_table = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8swrKC1R0lEyAGIjIDYFYkMoH0QbQ9kgbKIUGwsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Year = _t, #"2023" = _t, #"2024" = _t, #"2025" = _t, #"2026" = _t, #"2027" = _t, #"2028" = _t, #"2029" = _t, #"2030" = _t, #"2031" = _t, #"2032" = _t]),
source = Table.TransformColumnTypes(data_table,{{"Year", type text}, {"2023", type number}, {"2024", type number}, {"2025", type number}, {"2026", type number}, {"2027", type number}, {"2028", type number}, {"2029", type number}, {"2030", type number}, {"2031", type number}, {"2032", type number}}),
starting_number = 400,
input = Table.ToRows(source){0},
input_list = List.Buffer(List.Skip(input)),
count = List.Count(input_list),
output_list =
List.Generate(
() => [out = starting_number, i = 0],
(x) => x[i] <= count,
(x) => [out = x[out] + input_list{x[i]}, i = x[i] + 1],
(x) => x[out]
),
z = Table.FromRows({input, {"Output"} & List.Skip(output_list)}, Table.ColumnNames(source))
in
z
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