Percentage between two columns

[gaikwadaa123]

Hello, 

I have two tables as below 

Table 1: Actual Data 

Table 2 :  History Data. 

I would like to caluculate the percentage error  between the two columns DBDryBulb-A and DBDryBulb_F

 from the above two coulumns 

Formula shoud be 

(DBDryBulb-A - DBDryBulb_F)/ DBDryBulb-A 

I will convert it later into percentage. But would like to get absolute error value by using above two columns. 

Thank you. 

[Jimmy801 · Accepted solution]

Hello @gaikwadaa123 

you can join both tables by the datetime column and then expand your F-Column and then the needed calculation

Here an example

let
    A = 
    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUAyIjAyNDBQNDKwMDJR0lQ6VYHVQJI4iEkVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, #"DBDryBulb-A" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"DBDryBulb-A", Int64.Type}}, "de-DE")
    in
        #"Changed Type",
    B= 
    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUAyIjAyNDBQNDKwMDJR0lY6VYHVQJI4iEiVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, #"DBDryBulb-F" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"DBDryBulb-F", Int64.Type}}, "de-DE")
    in
        #"Changed Type",
    JoinTables= Table.NestedJoin
    (
        A,
        "DateTime",
        B, 
        "DateTime",
        "B",
        JoinKind.LeftOuter
    ),
    #"Expanded B" = Table.ExpandTableColumn(JoinTables, "B", {"DBDryBulb-F"}, {"DBDryBulb-F"}),
    #"Added Custom" = Table.AddColumn(#"Expanded B", "Custom", each ([#"DBDryBulb-A"]-[#"DBDryBulb-F"])/[#"DBDryBulb-A"])
in
    #"Added Custom"

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[Jimmy801 · Accepted solution]

Hello @gaikwadaa123 

you can join both tables by the datetime column and then expand your F-Column and then the needed calculation

Here an example

let
    A = 
    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUAyIjAyNDBQNDKwMDJR0lQ6VYHVQJI4iEkVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, #"DBDryBulb-A" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"DBDryBulb-A", Int64.Type}}, "de-DE")
    in
        #"Changed Type",
    B= 
    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjDUAyIjAyNDBQNDKwMDJR0lY6VYHVQJI4iEiVJsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, #"DBDryBulb-F" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"DBDryBulb-F", Int64.Type}}, "de-DE")
    in
        #"Changed Type",
    JoinTables= Table.NestedJoin
    (
        A,
        "DateTime",
        B, 
        "DateTime",
        "B",
        JoinKind.LeftOuter
    ),
    #"Expanded B" = Table.ExpandTableColumn(JoinTables, "B", {"DBDryBulb-F"}, {"DBDryBulb-F"}),
    #"Added Custom" = Table.AddColumn(#"Expanded B", "Custom", each ([#"DBDryBulb-A"]-[#"DBDryBulb-F"])/[#"DBDryBulb-A"])
in
    #"Added Custom"

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[gaikwadaa123]

I tried to append the tables and got the two columns in same table 

I used the  formula 

Measure 2 = SUM('Actual Data'[DBDryBulb-A])-SUM('Actual Data'[DBDryBulb _F])

But still the substarction is not looking correct. can you suggest me formula 

[v-yingjl · Accepted solution]

Hi @gaikwadaa123 ,

After merging two tables, please detect the data type for each column, if the data type is wrong, it could cause the wrong calculation result.

Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Jimmy801]

Hello @gaikwadaa123 

i tried to reproduce your scenario with the example above and its working fine

so the approach and formula is correct but probably something in your dataset that is causing the wrong outcome

If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too

Have fun

Jimmy

[mahoneypat]

Can you describe your model further?  Do you have separate tables for DateTime values?  One with your Sensors(?) ID values?  I would encourage you to add both those tables if not already, so you can connect to the two tables you show above.  If the columns are the same in both F and A tables, you could also consider appending them (with a column to indicate if it is an F or A value).  Either of the above suggestions would make your calculation simpler.

Pat

[gaikwadaa123]

@mahoneypat 

can you help with this?

Thank you.

[gaikwadaa123]

@Jimmy801

Can you help me solve this?

[gaikwadaa123]

@smp0150 

 can you check into this?  Thank you