Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Please, I need some help.
I intend to calculete the day by day price variation between the values of public traded stocks using DAX.After hour of reserch, I constructed the following expression, that gave me the current and the last price:
SUMMARIZE ( ADDCOLUMNS ( Inf_diario, "PREVIOUS VL", VAR previousDate = MAXX ( FILTER ( Inf_diario, Inf_diario[CNPJ_FUNDO] = EARLIER ( Inf_diario[CNPJ_FUNDO] ) && Inf_diario[DT_COMPTC] < EARLIER ( Inf_diario[DT_COMPTC] ) ), Inf_diario[DT_COMPTC] ) RETURN MAXX ( FILTER ( Inf_diario, Inf_diario[CNPJ_FUNDO] = EARLIER ( Inf_diario[CNPJ_FUNDO] ) && Inf_diario[DT_COMPTC] = previousDate ), Inf_diario[VL_QUOTA] ) ), Inf_diario[ID], Inf_diario[DT_COMPTC], Inf_diario[VL_QUOTA], [PREVIOUS VL] )
The results:
Now, I need to find the diference between the PREVIOUS VL and VL QUOTA (current value), to finally calculate Standard deviation, %change etc.
Tks in advance
Solved! Go to Solution.
It seems you are modeling off a single table and created a second calculated table. If so, i would do things a bit differently. I would use measures instead. First, put 'id' and 'DT_COMPTC' on rows of Matrix, then add the following measures:
VL_Quota measure = SUM (Inf_diario[VL_Quota] )
then:
Previous VL Measure = VAR _dates = FILTER ( ALL ( Inf_diario[DT_COMPTC] ), Inf_diario[DT_COMPTC] < MAX ( Inf_diario[DT_COMPTC] ) ) VAR _previousDate = LASTNONBLANK ( _dates, [VL_Quota measure] ) RETURN CALCULATE ( [VL_Quota measure], Inf_diario[DT_CoMPTC] = _previousDate )
then your % change is easy:
% Change = DIVIDE ( [Previous DL Measure] - [VL_Quota measure], [VL_Quota measure] )
and so on.
But if you want to continue to use your calculated table, you'll need to add more values via the ADDCOLUMNS you have.
It seems you are modeling off a single table and created a second calculated table. If so, i would do things a bit differently. I would use measures instead. First, put 'id' and 'DT_COMPTC' on rows of Matrix, then add the following measures:
VL_Quota measure = SUM (Inf_diario[VL_Quota] )
then:
Previous VL Measure = VAR _dates = FILTER ( ALL ( Inf_diario[DT_COMPTC] ), Inf_diario[DT_COMPTC] < MAX ( Inf_diario[DT_COMPTC] ) ) VAR _previousDate = LASTNONBLANK ( _dates, [VL_Quota measure] ) RETURN CALCULATE ( [VL_Quota measure], Inf_diario[DT_CoMPTC] = _previousDate )
then your % change is easy:
% Change = DIVIDE ( [Previous DL Measure] - [VL_Quota measure], [VL_Quota measure] )
and so on.
But if you want to continue to use your calculated table, you'll need to add more values via the ADDCOLUMNS you have.
It worked perfectly!!! Thank you mattbrice.
Check out the September 2024 Power BI update to learn about new features.
Learn from experts, get hands-on experience, and win awesome prizes.
User | Count |
---|---|
114 | |
106 | |
97 | |
38 | |
32 |
User | Count |
---|---|
152 | |
122 | |
76 | |
74 | |
47 |