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Anonymous
Not applicable

plot graphs with multiple dates

So I have a table with multiple dates and values.

I want those dates on a shared axis and want to plot a line plot.

 

X-Axis should have Year (Date)

Y-Axis should have Turnovers  (Values)

 

how can this be done?

 

data example:

Companies House IDDate 1Turnover 1Date 2Turnover 2Date 3Turnover 3Date 4Turnover 4Date 5Turnover 5Date 6Turnover 6Date 7Turnover 7
10791382010-10-3154035552011-10-3157590172012-10-3161463742013-10-3171374072014-10-3188216322015-10-31108370002016-10-3112383000
14127662011-06-3017455952012-06-3017449352013-06-3020129022014-06-3026460562015-06-3033226892016-06-3033993422017-06-304222377
15531542009-06-3054487152010-06-3046808872011-06-3052582452012-06-3080950002013-06-30110660002014-12-31117700002015-12-312586469
17923042011-06-3015120002012-06-3024770002013-06-3025120002014-06-3024680002015-06-3022730002016-06-3020840002017-06-301903000
1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @Anonymous ,

 

In Power Query Advance Editor:

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bZJLDsIwDETv0jVI4799FsT9r0GqNE4FSN30yU7fTPp6HYQokjweB4PwHI/QeDGFmNnEtHFYgWJibuykLqETS+OgAXFNa+NMJhee2BoTUgLA5L45S8rJ34+hq8ThvrzgTzkXKNSsbHndsJbY8lr4nCnw8mrs6jBfXguLMHvW0tq4SvQ6JBorM0vElDUTslkLqkdMNYNsVd6bnsiM72jGlqw/0RJlXdaORgT35qNzvkqkOLtFl37xcfhIXVM3igX6060R9+YWYI34I8D36Vu3Z7r9+cYccrvyfUGpjXe3VJg/wvsD", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Companies House ID" = _t, #"Date 1" = _t, #"Turnover 1" = _t, #"Date 2" = _t, #"Turnover 2" = _t, #"Date 3" = _t, #"Turnover 3" = _t, #"Date 4" = _t, #"Turnover 4" = _t, #"Date 5" = _t, #"Turnover 5" = _t, #"Date 6" = _t, #"Turnover 6" = _t, #"Date 7" = _t, #"Turnover 7" = _t]),
    #"Reordered Columns" = Table.ReorderColumns(Source,{"Companies House ID", "Date 1", "Date 2", "Date 3", "Date 4", "Date 5", "Date 6", "Date 7", "Turnover 1", "Turnover 2", "Turnover 3", "Turnover 4", "Turnover 5", "Turnover 6", "Turnover 7"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Reordered Columns",{{"Companies House ID", Int64.Type}, {"Date 1", type date}, {"Date 2", type date}, {"Date 3", type date}, {"Date 4", type date}, {"Date 5", type date}, {"Date 6", type date}, {"Date 7", type date}, {"Turnover 1", Int64.Type}, {"Turnover 2", Int64.Type}, {"Turnover 3", Int64.Type}, {"Turnover 4", Int64.Type}, {"Turnover 5", Int64.Type}, {"Turnover 6", Int64.Type}, {"Turnover 7", Int64.Type}}),
    Count = 7,
    DATES = List.FirstN(List.Skip(Table.ColumnNames(#"Changed Type")),Count),
    Tables = let Cols = Table.ToColumns(#"Changed Type"), st = Cols{0}, cols = List.Zip(List.Split(List.Skip(Cols),Count)) in List.Transform(cols, each Table.FromColumns({st} & _, {"Companies House ID","Date","Turnover"})),
    #"Added DATES" = Table.Combine(List.Transform({0..Count-1}, each Table.AddColumn(Tables{_}, "DATES", (r) => DATES{_}))),
    #"Removed Columns" = Table.RemoveColumns(#"Added DATES",{"DATES"})
in
    #"Removed Columns"

 

 

Capture.PNG

 

Best Regards,

Jay

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @Anonymous ,

 

In Power Query Advance Editor:

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("bZJLDsIwDETv0jVI4799FsT9r0GqNE4FSN30yU7fTPp6HYQokjweB4PwHI/QeDGFmNnEtHFYgWJibuykLqETS+OgAXFNa+NMJhee2BoTUgLA5L45S8rJ34+hq8ThvrzgTzkXKNSsbHndsJbY8lr4nCnw8mrs6jBfXguLMHvW0tq4SvQ6JBorM0vElDUTslkLqkdMNYNsVd6bnsiM72jGlqw/0RJlXdaORgT35qNzvkqkOLtFl37xcfhIXVM3igX6060R9+YWYI34I8D36Vu3Z7r9+cYccrvyfUGpjXe3VJg/wvsD", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Companies House ID" = _t, #"Date 1" = _t, #"Turnover 1" = _t, #"Date 2" = _t, #"Turnover 2" = _t, #"Date 3" = _t, #"Turnover 3" = _t, #"Date 4" = _t, #"Turnover 4" = _t, #"Date 5" = _t, #"Turnover 5" = _t, #"Date 6" = _t, #"Turnover 6" = _t, #"Date 7" = _t, #"Turnover 7" = _t]),
    #"Reordered Columns" = Table.ReorderColumns(Source,{"Companies House ID", "Date 1", "Date 2", "Date 3", "Date 4", "Date 5", "Date 6", "Date 7", "Turnover 1", "Turnover 2", "Turnover 3", "Turnover 4", "Turnover 5", "Turnover 6", "Turnover 7"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Reordered Columns",{{"Companies House ID", Int64.Type}, {"Date 1", type date}, {"Date 2", type date}, {"Date 3", type date}, {"Date 4", type date}, {"Date 5", type date}, {"Date 6", type date}, {"Date 7", type date}, {"Turnover 1", Int64.Type}, {"Turnover 2", Int64.Type}, {"Turnover 3", Int64.Type}, {"Turnover 4", Int64.Type}, {"Turnover 5", Int64.Type}, {"Turnover 6", Int64.Type}, {"Turnover 7", Int64.Type}}),
    Count = 7,
    DATES = List.FirstN(List.Skip(Table.ColumnNames(#"Changed Type")),Count),
    Tables = let Cols = Table.ToColumns(#"Changed Type"), st = Cols{0}, cols = List.Zip(List.Split(List.Skip(Cols),Count)) in List.Transform(cols, each Table.FromColumns({st} & _, {"Companies House ID","Date","Turnover"})),
    #"Added DATES" = Table.Combine(List.Transform({0..Count-1}, each Table.AddColumn(Tables{_}, "DATES", (r) => DATES{_}))),
    #"Removed Columns" = Table.RemoveColumns(#"Added DATES",{"DATES"})
in
    #"Removed Columns"

 

 

Capture.PNG

 

Best Regards,

Jay

amitchandak
Super User
Super User

@Anonymous , First Unpivot the all columns other than Companies House ID, You will get attributes and value

 

Then split attributes using split by delimiters .

You will get date/turnover in one column. and 1,2,3,4 in another column

 

delete the later one.  Then Pivot the attribute(part 1) and value again, You should get date and turnover

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