Hi
In the attached file I took your Data and renamed the sheet to Data.
I then selected Get & Transform Data (XL2016) or select Power Query (earlier versions) > From Table > selected the first 3 columns > Transform > Unpivot Other columns.
I renamed the two newly created columns as Year and Value and Closed and Saved to new sheet as Table.
I renamed that sheet as Normalised Data
The "M" code that was generated is as follows
let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"STORE #", type any}, {"SIZE", type text}, {"AREA", type text}, {"2008", type number}, {"2009", type number}, {"2010", type number}, {"2011", type number}, {"2012", type number}, {"2013", type number}, {"2014", type number}, {"2015", type number}, {"2016", type number}, {"2017", type number}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"STORE #", "SIZE", "AREA"}, "Attribute", "Value"),
#"Renamed Columns" = Table.RenameColumns(#"Unpivoted Other Columns",{{"Attribute", "Year"}})
in
#"Renamed Columns"
From this Normalized data I then created a Pivot Table on sheet Charts, with Year as a Row field, Area as a column field and Value as the Values field.
I created Slicers for Area and Store, and then created a Chart alongside the Pivot Table, and positioned the slicers to the right of the Chart.
Using the Slicers, you can select any area and see all of the data for that Area.
The Store slicer, then shows the Stores within that Area and you can select an individual store or the area average.
Hope this helps
Bookmarks