Power Query - Ordinal row number based on unique id and date/time?

[Anonymous]

Hi all, I was wondering if it is possible to do one thing in power query: I have a table with interaction ids that can appear in multiple rows with different time stamp. Repetition happens when interaction is opened again and again. I would like to create custom column with ordinal number for each interaction in a data table. This would look something similar to below: 

Interaction ID	Date/time	Ordinal Number
123	4/4/2019 13:00	1
345	4/5/2019 15:00	1
567	4/6/2019 19:00	1
123	4/7/2019 18:00	2
123	4/8/2019 13:30	3
567	4/9/2019 16:15	2
345	4/10/2019 12:00	2
123	4/11/2019 11:00	4
345	4/12/2019 13:00	3

Is this possible outside of DAX

Regards

Filarap

[parry2k · Accepted solution]

@Anonymous here is sample power query, change it as per your need.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc/LCUAhDETRVh5ZC2YS468Vsf82BIkPdH3gTjIGQZQCpZiiMNoH7cw0wyBNtsEc7IDlsiE7tAMnVRzqC/Xf0DvVHHKHXeNgF3lbgAvegyHXK3MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Interaction ID" = _t, Date = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Interaction ID"}, {{"Count", each Table.RowCount(_), type number}, {"AllRows", each _, type table [Interaction ID=text, Date=text]}}),
    #"Added Index" = Table.AddIndexColumn(#"Grouped Rows", "Index", 1, 1),
    #"Removed Columns" = Table.RemoveColumns(#"Added Index",{"Count"}),
    #"Expanded AllRows" = Table.ExpandTableColumn(#"Removed Columns", "AllRows", {"Date"}, {"Date"})
in
    #"Expanded AllRows"

[parry2k · Accepted solution]

@Anonymous try this

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc/LCUAhDETRVh5ZC2YS468Vsf82BIkPdH3gTjIGQZQCpZiiMNoH7cw0wyBNtsEc7IDlsiE7tAMnVRzqC/Xf0DvVHHKHXeNgF3lbgAvegyHXK3MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Interaction ID" = _t, Date = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Interaction ID"}, {{"Rank", each Table.AddIndexColumn(_, "Rank", 1)}}),
    #"Expanded Rank1" = Table.ExpandTableColumn(#"Grouped Rows", "Rank", {"Date", "Rank"}, {"Date", "Rank"})
in
    #"Expanded Rank1"

[v-danhe-msft · Accepted solution]

Hi @Anonymous ,

You could refer to below code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Zc5BCoAgEIXhq8SsAx11LF276QziQsJFm4Lw/hQyBdny8fHDixGWvZYzr3U79mEJMELItUAaI6DS9zTCCCXRDai9lB+YGOYe5rfQX0BkwSfRhpoQA/WAkkX9RPXHyE5NLIPrwTFYjwQpXQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Interaction ID", Int64.Type}, {"Date", type datetime}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Interaction ID"}, {{"A", each Table.AddIndexColumn(_,"Index",1,1), type table }}),
    #"Expanded A" = Table.ExpandTableColumn(#"Grouped Rows", "A", {"Date", "Index"}, {"A.Date", "A.Index"})
in
    #"Expanded A"

Result:

You could also download the pbix file to have a view.

Regards,

Daniel He

[v-danhe-msft · Accepted solution]

Hi @Anonymous ,

You could refer to below code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Zc5BCoAgEIXhq8SsAx11LF276QziQsJFm4Lw/hQyBdny8fHDixGWvZYzr3U79mEJMELItUAaI6DS9zTCCCXRDai9lB+YGOYe5rfQX0BkwSfRhpoQA/WAkkX9RPXHyE5NLIPrwTFYjwQpXQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"(blank)" = _t, #"(blank).1" = _t]),
    #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"Interaction ID", Int64.Type}, {"Date", type datetime}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Interaction ID"}, {{"A", each Table.AddIndexColumn(_,"Index",1,1), type table }}),
    #"Expanded A" = Table.ExpandTableColumn(#"Grouped Rows", "A", {"Date", "Index"}, {"A.Date", "A.Index"})
in
    #"Expanded A"

Result:

You could also download the pbix file to have a view.

Regards,

Daniel He

[parry2k · Accepted solution]

@Anonymous here is sample power query, change it as per your need.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc/LCUAhDETRVh5ZC2YS468Vsf82BIkPdH3gTjIGQZQCpZiiMNoH7cw0wyBNtsEc7IDlsiE7tAMnVRzqC/Xf0DvVHHKHXeNgF3lbgAvegyHXK3MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Interaction ID" = _t, Date = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Interaction ID"}, {{"Count", each Table.RowCount(_), type number}, {"AllRows", each _, type table [Interaction ID=text, Date=text]}}),
    #"Added Index" = Table.AddIndexColumn(#"Grouped Rows", "Index", 1, 1),
    #"Removed Columns" = Table.RemoveColumns(#"Added Index",{"Count"}),
    #"Expanded AllRows" = Table.ExpandTableColumn(#"Removed Columns", "AllRows", {"Date"}, {"Date"})
in
    #"Expanded AllRows"

[Anonymous]

Thank you parry2K,

With this query i was able to get

Interaction IDDateIndex

123	4/4/2019 13:00	1
123	4/7/2019 18:00	1
123	4/8/2019 13:30	1
123	4/11/2019 11:00	1
345	4/5/2019 15:00	2
345	4/10/2019 12:00	2
345	4/12/2019 13:00	2
567	4/6/2019 19:00	3
567	4/9/2019 16:15	3

But i am trying to achieve ordinal numbers based on ID sorted by date/time (Earliest would be number 1)

Interaction ID	Date	Index
123	4/4/2019 13:00	1
123	4/7/2019 18:00	2
123	4/8/2019 13:30	3
123	4/11/2019 11:00	4
345	4/5/2019 15:00	1
345	4/10/2019 12:00	2
345	4/12/2019 13:00	3
567	4/6/2019 19:00	1
567	4/9/2019 16:15	2

Is this possible?

Filarap

[Ashish_Mathur · Accepted solution]

Hi,

This M code works

let
    Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Interaction ID", Int64.Type}, {"Date", type datetime}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"Interaction ID", Order.Ascending}, {"Date", Order.Ascending}}),
    Partition = Table.Group(#"Sorted Rows", {"Interaction ID"}, {{"Partition", each Table.AddIndexColumn(_, "Index",1,1), type table}}),
    #"Expanded Partition" = Table.ExpandTableColumn(Partition, "Partition", {"Date", "Index"}, {"Date", "Index"})
in
    #"Expanded Partition"

Hope this helps.

[Anonymous]

Thank you all,

Several working solution for me to try.

Much apreciated.

Regards

Filarap

[Ashish_Mathur]

You are welcome.

[parry2k · Accepted solution]

@Anonymous try this

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc/LCUAhDETRVh5ZC2YS468Vsf82BIkPdH3gTjIGQZQCpZiiMNoH7cw0wyBNtsEc7IDlsiE7tAMnVRzqC/Xf0DvVHHKHXeNgF3lbgAvegyHXK3MB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Interaction ID" = _t, Date = _t]),
    #"Grouped Rows" = Table.Group(Source, {"Interaction ID"}, {{"Rank", each Table.AddIndexColumn(_, "Rank", 1)}}),
    #"Expanded Rank1" = Table.ExpandTableColumn(#"Grouped Rows", "Rank", {"Date", "Rank"}, {"Date", "Rank"})
in
    #"Expanded Rank1"