Forum Discussion
Inferring Missing Columns and Imputing Missing Data
- 4 months ago
Hi liveincolorado,
Thank you for the update.
Total Balance =
VAR MonthStart = MIN('Date'[Date])
VAR MonthEnd = MAX('Date'[Date])RETURN
SUMX(
VALUES(Accounts[ACCT_ID]),VAR LatestDate =
CALCULATE(
MAX(Accounts[CLI_START_DT]),
FILTER(
Accounts,
Accounts[ACCT_ID] = EARLIER(Accounts[ACCT_ID]) &&
Accounts[CLI_START_DT] <= MonthEnd
)
)VAR Balance =
CALCULATE(
MAX(Accounts[TOTAL_BALANCE]),
Accounts[CLI_START_DT] = LatestDate
)VAR IsActive =
CALCULATE(
COUNTROWS(Accounts),
FILTER(
Accounts,
Accounts[ACCT_ID] = EARLIER(Accounts[ACCT_ID]) &&
Accounts[CLI_START_DT] <= MonthEnd &&
COALESCE(Accounts[CLI_END_DT], DATE(9999,12,31)) >= MonthStart &&
Accounts[SA_START_DT] <= MonthEnd &&
COALESCE(Accounts[SA_END_DT], DATE(9999,12,31)) >= MonthStart
)
)RETURN
IF(IsActive > 0, Balance)
)Thankyou.
Hi liveincolorado,
Thank you for the update.
It's great that you found a more efficient way by managing part of the logic in SQL, as that should help with performance.
If you need any more help with the data in Power BI, please let me know.
Thanks again.