plot graphs with multiple dates

[Anonymous]

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 ID	Date 1	Turnover 1	Date 2	Turnover 2	Date 3	Turnover 3	Date 4	Turnover 4	Date 5	Turnover 5	Date 6	Turnover 6	Date 7	Turnover 7
1079138	2010-10-31	5403555	2011-10-31	5759017	2012-10-31	6146374	2013-10-31	7137407	2014-10-31	8821632	2015-10-31	10837000	2016-10-31	12383000
1412766	2011-06-30	1745595	2012-06-30	1744935	2013-06-30	2012902	2014-06-30	2646056	2015-06-30	3322689	2016-06-30	3399342	2017-06-30	4222377
1553154	2009-06-30	5448715	2010-06-30	4680887	2011-06-30	5258245	2012-06-30	8095000	2013-06-30	11066000	2014-12-31	11770000	2015-12-31	2586469
1792304	2011-06-30	1512000	2012-06-30	2477000	2013-06-30	2512000	2014-06-30	2468000	2015-06-30	2273000	2016-06-30	2084000	2017-06-30	1903000

[Anonymous · Accepted solution]

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"

Best Regards,

Jay

[amitchandak]

@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