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Reply
dariaglb
Frequent Visitor

Group rows with different by 1 (Power Query)

Hi

 

I have a table where columne "link" is different by 1 from another (but it is one event for subject)
and I need a "subject" group
if link to one row > more than 1 link to another row (and maybe only 1 row in group)

subjectlinkeventdatedate 2
07-00112Visit04.05.2023 
07-00113Visit 05.06.2023
07-00123Visit14.05.2023 
07-00245Visit15.06.2023 
07-00246Visit 17.06.2023
07-00278Visit23.05.2023 
07-00279Visit 25.05.2023
07-00341Visit01.04.2023 

 

 

subjectlinkeventdatedate 2index
07-00112Visit04.05.2023 1
07-00113Visit 05.06.20232
07-00123Visit14.05.2023 1
07-00245Visit15.06.2023 1
07-00246Visit 17.06.20232
07-00278Visit23.05.2023 1
07-00279Visit 25.05.20232
07-00341Visit01.04.2023 1


5 groups as result

 Group Columne with Table
subjectlinkeventdatedate 2index
07-00112Visit04.05.2023 1
 13Visit 05.06.20232
07-00123Visit14.05.2023 1
07-00245Visit15.06.2023 1
 46Visit 17.06.20232
07-00278Visit23.05.2023 1
 79Visit 25.05.20232
07-00341Visit01.04.2023 1



1 ACCEPTED SOLUTION
dufoq3
Super User
Super User

Hi @dariaglb, another solution:

 

Result

dufoq3_0-1721203023890.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddDBCcAgDAXQVcSzlSQabRfpRRzAc7s/VQqaWrxEAs//ISlpiBsAaqOR6jjLVe76grfAloBcXZTORkInoGqYLYQXfyBJiIvE1upZwpH2h2GqxvivbjDuApJbV8djSiTuuMP2z6M8D9p6oZGYHw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [subject = _t, link = _t, event = _t, date = _t, #"date 2" = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"link", Int64.Type}, {"date", type date}, {"date 2", type date}}, "sk-SK"),
    GroupedRowsLocal = Table.Group(ChangedType, {"subject", "link"}, {{"All", each Table.AddIndexColumn(_, "Index", 1, 1, Int64.Type), type table}}, GroupKind.Local,
        (x,y)=> Number.From( x[subject] <> y[subject] or y[link] - x[link] > 1 ) ),
    CombinedAll = Table.Combine(GroupedRowsLocal[All])
in
    CombinedAll

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

View solution in original post

2 REPLIES 2
dufoq3
Super User
Super User

Hi @dariaglb, another solution:

 

Result

dufoq3_0-1721203023890.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ddDBCcAgDAXQVcSzlSQabRfpRRzAc7s/VQqaWrxEAs//ISlpiBsAaqOR6jjLVe76grfAloBcXZTORkInoGqYLYQXfyBJiIvE1upZwpH2h2GqxvivbjDuApJbV8djSiTuuMP2z6M8D9p6oZGYHw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [subject = _t, link = _t, event = _t, date = _t, #"date 2" = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"link", Int64.Type}, {"date", type date}, {"date 2", type date}}, "sk-SK"),
    GroupedRowsLocal = Table.Group(ChangedType, {"subject", "link"}, {{"All", each Table.AddIndexColumn(_, "Index", 1, 1, Int64.Type), type table}}, GroupKind.Local,
        (x,y)=> Number.From( x[subject] <> y[subject] or y[link] - x[link] > 1 ) ),
    CombinedAll = Table.Combine(GroupedRowsLocal[All])
in
    CombinedAll

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

AlienSx
Super User
Super User

let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    sort = Table.Sort(Source,{{"subject", Order.Ascending}, {"link", Order.Ascending}}),
    recs = List.Buffer(Table.ToRecords(sort)),
    gen = List.Generate(
        () => [i = 0, r = recs{0}, new_group = true, index = 1],
        (x) => x[i] < List.Count(recs),
        (x) => 
            [
                i = x[i] + 1, 
                r = recs{i}, 
                new_group = (r[link] - x[r][link]) <> 1 or r[subject] <> x[r][subject],
                index = if new_group then 1 else x[index] + 1
            ],
        (x) => 
            x[r] & 
            [subject = if x[new_group] then x[r][subject] else null] & 
            [index = x[index]]
    ),
    to_table = Table.FromRecords(gen)
in
    to_table

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