Forum Discussion
Anonymous
5 years agoNot applicable
GroupBy Function Date Data Type Columns Change To Text Data Type
Whenever I use the "GroupBy" function on a non Date data type column and breakout the columns, any Date data type columns within that query change to Text data type 😬😠😮 I am then having to change...
- 5 years ago
Hi Anonymous
Do you mean group by on a column then expand the table column to show other columns? Based on my test, this will not change column data types. You can paste below codes to a blank query to see my result.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WciwtLsnMU9JRcgRiM30jfSMDI0Mg00gpVgdD1hiHrBNY1gSvrClMFizpkpiTk1gMlzSESRqgyqI7yhSbtDEuaWc0Z5lis9oUWToWAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Region = _t, Type = _t, Date = _t, Value = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Region", type text}, {"Date", type date}, {"Value", Int64.Type}, {"Type", type text}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"Region", "Type"}, {{"All", each _, type table [Region=nullable text, Type=nullable text, Date=nullable date, Value=nullable number]}}), #"Expanded All" = Table.ExpandTableColumn(#"Grouped Rows", "All", {"Date", "Value"}, {"Date", "Value"}) in #"Expanded All"If I don't understand the issue correctly, can you share your codes or screenshots to help me understand it better? I'm a little confused about the description "breakout the columns"...😬
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Community Support Team _ Jing
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Anonymous
5 years agoNot applicable
Thank you for responding.
I think I may have had some nulls in my date columns 😕