Running Total on the given dataset?

[nironixon]

Hi there,
Can anyone help me or point me in the right direction how to calculate the running total column on the following
example dataset in powerbi;

ACCOUNTS Table:
ID | CREATEDDATE | DELETEDDATE |
1   | 2018-01-01       | NULL   |
2   | 2018-01-01       | NULL |
3   | 2018-01-02       | NULL |
4   | 2018-01-03       | 2018-01-04 |
5   | 2018-01-04       | NULL |

Explanation to the table;
For reach row that models an "account" we store when it was created (createddate) and when the account
is deleted (DELETEDDATE).

The accounts table is connected to a date table in my model.

What is the best approach here, create a calculated table that counts the number of created resp. deltete accounts for each date;

DATE           | CREATED | DELETED | RUNNING TOTAL
2018-01-01  | 2               | 0              | 2
2018-01-02  | 1               | 0              | 3
2018-01-03  | 1               | 1              | 3
2018-01-04  | 1               | 0              | 4

Best Regards
Niclas

[PattemManohar]

@nironixon Please try this in "Power Query"

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTIw1AUiIwNDCyBHKVYnWskIq6gxSNQIXdQEJGqMJGpgAueA5E1RhUC6YgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [ID = _t, CreatedDate = _t, DeletedDate = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", Int64.Type}, {"CreatedDate", type date}, {"DeletedDate", type date}}),
    #"Added Conditional Column" = Table.AddColumn(#"Changed Type", "Created", each if [CreatedDate] <> null then 1 else 0),
    #"Added Conditional Column1" = Table.AddColumn(#"Added Conditional Column", "Deleted", each if [DeletedDate] <> null then 1 else 0),
    #"Grouped Rows" = Table.Group(#"Added Conditional Column1", {"CreatedDate"}, {{"Created", each List.Sum([Created]), type number}, {"Deleted", each List.Sum([Deleted]), type number}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Total", each [Created]-[Deleted]),
    #"Added Index" = Table.AddIndexColumn(#"Added Custom", "Index", 0, 1),
    #"Added Running Total" = Table.AddColumn(#"Added Index", "RunningTotal", each List.Sum(List.FirstN(#"Added Index"[Total],[Index]+1))),
    #"Removed Columns" = Table.RemoveColumns(#"Added Running Total",{"Total", "Index"})
    
in
    #"Removed Columns"

Here is the expected output !!

[nironixon]

Hi there and thanks for your efforts and it def. works on a small dataset!

The dataset im working on have approx 1.300.000 rows and the query times out. 

I think it is the #"Added Running Total" statement that sums up rows up to the current index that performs badly;

#"Added Running Total" = Table.AddColumn(#"Added Index", "RunningTotal", each List.Sum(List.FirstN(#"Added Index"[Total],[Index]+1))),

Any idea how we can fix this, im totaly blank!

Niclas

[Ashish_Mathur]

Hi,

This can be done with a DAX formula.  In the visual, you would drag Account to the row labels and then write a mesure.  Would you be interested in that solution?

[Anonymous]

Hi @nironixon,

I'd like to suggest you do running total on data view side with dax calculate column, it has better performance than direct invoke all list of data to sum up.

Running Total=
CALCULATE (
    SUM ( Table[Created] ),
    FILTER ( ALL ( Table ), [Date] <= EARLIER ( Table[Date] ) )
)

Regards,

Xiaoxin Sheng