filter the table visual base on silcer

Hi Sharmi_28 ,

 

According to your description, here are my steps you can follow as a solution.

(1) My test data is the same as yours.

(2) We can create two slicer tables.

Slicer 1 = DATATABLE ( 
    "Column Header Name", STRING, 
    {
        { "Column 1" },
        { "Column 2" },
        { "Column 3" },
        { "Column 4" },
        { "Column 5" }
    }
)

Slicer 2 = DATATABLE ( 
    "Data Range", STRING, 
    {
        { "<n" },
        { "<=n" },
        { ">n" },
        { ">=n" },
        { "=n" }
    }
) 

(3) We can create parameters of numeric type.

(4) We can create a measure.

Flag = 
var _n=SELECTEDVALUE('Parameter'[Parameter])
var _column_name=SELECTEDVALUE('Slicer 1'[Column Header Name])
var _data_range=SELECTEDVALUE('Slicer 2'[Data Range])
RETURN SWITCH(TRUE(),
ISFILTERED('Slicer 1'[Column Header Name])=FALSE(),1,
_column_name="Column 1"&& _data_range="<=n" && [Coulumn 1]<=_n,1,
_column_name="Column 1"&& _data_range="<n" && [Coulumn 1]<_n,1,
_column_name="Column 1"&& _data_range="=n" && [Coulumn 1]=_n,1,
_column_name="Column 1"&& _data_range=">=n" && [Coulumn 1]>=_n,1,
_column_name="Column 1"&& _data_range=">n" && [Coulumn 1]>_n,1,
_column_name="Column 2"&& _data_range="<=n" && [Coulumn 2]<=_n,1,
_column_name="Column 2"&& _data_range="<n" && [Coulumn 2]<_n,1,
_column_name="Column 2"&& _data_range="=n" && [Coulumn 2]=_n,1,
_column_name="Column 2"&& _data_range=">=n" && [Coulumn 2]>=_n,1,
_column_name="Column 2"&& _data_range=">n" && [Coulumn 2]>_n,1,
_column_name="Column 3"&& _data_range="<=n" && [Coulumn 3]<=_n,1,
_column_name="Column 3"&& _data_range="<n" && [Coulumn 3]<_n,1,
_column_name="Column 3"&& _data_range="=n" && [Coulumn 3]=_n,1,
_column_name="Column 3"&& _data_range=">=n" && [Coulumn 3]>=_n,1,
_column_name="Column 3"&& _data_range=">n" && [Coulumn 3]>_n,1,
_column_name="Column 4"&& _data_range="<=n" && [Coulumn 4]<=_n,1,
_column_name="Column 4"&& _data_range="<n" && [Coulumn 4]<_n,1,
_column_name="Column 4"&& _data_range="=n" && [Coulumn 4]=_n,1,
_column_name="Column 4"&& _data_range=">=n" && [Coulumn 4]>=_n,1,
_column_name="Column 4"&& _data_range=">n" && [Coulumn 4]>_n,1,
_column_name="Column 5"&& _data_range="<=n" && [Coulumn 5]<=_n,1,
_column_name="Column 5"&& _data_range="<n" && [Coulumn 5]<_n,1,
_column_name="Column 5"&& _data_range="=n" && [Coulumn 5]=_n,1,
_column_name="Column 5"&& _data_range=">=n" && [Coulumn 5]>=_n,1,
_column_name="Column 5"&& _data_range=">n" && [Coulumn 5]>_n,1,0)

(5) Place [Flag=1] in the filter pane and then the result is as follows.

 

 

Best Regards,

Neeko Tang

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