Value difference between rows grouped by value

[adeptus2008]

Hi there, 

I have a table like that:

account_id	orders_id	cdate	expdate	money
218966	1073732	22.05.2018	22.05.2019	5
281343	1099694	30.11.2018	30.11.2019	15
326276	1125032	30.01.2019	23.01.2020	8
218966	1285798	08.01.2020	08.01.2021	35
326276	1293403	23.01.2020	23.01.2021	4
281343	1296352	29.01.2020	12.04.2021	9
218966	1297583	30.01.2020	30.02.2020	10

I want to calculate money difference, between curent and previous rows within the group of unique account_id. Thanks for any ideas.

My desrired table with calculated column would be

account_id	orders_id	cdate	expdate	money	money_diff
218966	1073732	22.05.2018	22.05.2019	5	0
281343	1099694	30.11.2018	30.11.2019	15	0
326276	1125032	30.01.2019	23.01.2020	7	0
218966	1285798	08.01.2020	08.01.2021	35	30
326276	1293403	23.01.2020	23.01.2021	4	-3
281343	1296352	29.01.2020	12.04.2021	9	-6
218966	1297583	30.01.2020	30.02.2020	10	-25

[Anonymous]

Hi @adeptus2008,

Whether you got your expected result by creating any measure or calculated column? If still not, you can try to create one calculated column as below:

money_diff =

if(COUNTROWS(filter('ATable','ATable'[account_id]=EARLIER('ATable'[account_id])&&'ATable'[orders_id]<EARLIER('ATable'[orders_id])))=0,

0,

'ATable'[money]- CALCULATE(max('ATable'[money]),filter('ATable','ATable'[account_id]=EARLIER('ATable'[account_id])&&'ATable'[orders_id]<EARLIER('ATable'[orders_id]))))

Best Regards

Rena

[amitchandak · Accepted solution]

Create new columns like

 new column last date= maxx(filter(table1,table1[account_id]=earlier(account_id) && table1[expdate]<earlier(table1[expdate]))table1[expdate]) 
 new column money_diff = table[money] -maxx(filter(table1,table1[account_id]=earlier(account_id) && table1[expdate]=earlier(table1[new column last date]))table1[money]) 

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[Greg_Deckler]

See my article on Mean Time Between Failure (MTBF) which uses EARLIER: http://community.powerbi.com/t5/Community-Blog/Mean-Time-Between-Failure-MTBF-and-Power-BI/ba-p/3395...