I have the following information and I want to create the column "Later" From isProm : is the next day have the same value or no?
Date isProm Later
2018-06-06 1 1
2018-06-13 1 1
2018-08-20 1 1
2018-09-12 1 0
2018-09-12 0 0
Could you help me to do that with day please?
Thank you very much,
Ana
Create your new Custom Column with this below code-
Option 1:
later =
var current_row_isporm = your_table_name[isProm]
var current_row_date = your_table_name[Date]
var next_date =
CALCULATE(
MIN(your_table_name[Date]),
FILTER(
ALL(your_table_name),
your_table_name[Date] > current_row_date
)
)
var nex_date_isporm =
CALCULATE(
MIN(your_table_name[isProm]),
FILTER(
ALL(your_table_name),
your_table_name[Date] = next_date
)
)
RETURN IF(current_row_isporm = nex_date_isporm,1,0)
Option 2: You can also use this below code for same output-
later =
var current_row_isporm = your_table_name[isProm]
var current_row_date = your_table_name[Date]
var next_date_isporm =
CALCULATE(
MINX(
TOPN(
1,
FILTER(
ALL(your_table_name),
your_table_name[Date] > current_row_date
),
your_table_name[Date].[Date],ASC
),
your_table_name[isProm]
)
)
RETURN IF(current_row_isporm = next_date_isporm,1,0)
Here is the output. I have slightly different output because of date format in my laptop.
Related
Hi guys so i am trying to build a report where i have to show new customers this month compared to last month. I am able to calculate new customers fine but i have to show them in a Matrix in Power Bi. This is the Code i am using
New Customers This Month =
VAR ThisMonth =
SELECTEDVALUE( DailyReport[DateCreated].[MonthNo])
VAR ThisYEAR =
SELECTEDVALUE(DailyReport[DateCreated].[Year])
VAR SelectedSupplier =
SELECTEDVALUE(DailyReport[SupplierName])
VAR LastMonth = ThisMonth - 1
VAR CustomersThisMonth =
DISTINCT(
SELECTCOLUMNS(
FILTER( ALL( DailyReport ), DailyReport[DateCreated].[MonthNo] = ThisMonth && DailyReport[DateCreated].[Year] = ThisYEAR && DailyReport[SupplierName] = SelectedSupplier),
"C1", DailyReport[VenueName]
)
)
VAR CustomersLastMonth =
DISTINCT(
SELECTCOLUMNS(
FILTER( ALL( DailyReport ), DailyReport[DateCreated].[MonthNo] = LastMonth && DailyReport[DateCreated].[Year] = ThisYEAR && DailyReport[SupplierName] = SelectedSupplier),
"C1", DailyReport[VenueName]
)
)
VAR T1 =
EXCEPT(CustomersThisMonth, CustomersLastMonth )
RETURN
CONCATENATEX( T1, [C1], ", " )
I am getting result like this, two columns one for supplier and one for new venues this month
getting result like this
But expected result should be like this, you know like a list
expected result
i think it may be causing due to how i am concatening it in the last line in code
and please let me know if you need any more information
Good Day!
Request
The following is my raw data, with some conditions applied to check which columns need to be counted.
Example:
Row 1, direction is export, department code is not starting with 'D',
will count all 6 columns (ETD, ATD,ETA, ATA, Estimated Delivey,
Actual Delivery) , and only 5 have been filled in, so get 83 as the
percentage.
Row 2, direction is export, department code starting
with 'D', will only count 4 columns (ETA, ATA,Estimated Delivery
and Actual Delivery), and only 2 has been filled in, so get 50%.
What I have now:
I have a code but it only shows all columns and which column has been filled, and I would like some help in calculating the conditions as stated above.
DAX: (calculate not blank)
Count =
SUMX(
ADDCOLUMNS(
RawData,
"Count",
var tab = {RawData[ETD],RawData[ATD],RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]}
var result =
COUNTROWS(
FILTER(
tab,
[Value]<>BLANK()))
return
IF(
ISBLANK(result),
0,
result
) ),[Count])
DAX: Calculate blank
Count =
SUMX(
ADDCOLUMNS(
RawData,
"Count",
var tab = {RawData[ETD],RawData[ATD],RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]}
var result =
COUNTROWS(
FILTER(
tab,
[Value]=BLANK()))
return
IF(
ISBLANK(result),
0,
result
) ),[Count])
Any help will be greatly appreciated.
Attached here with my pbix: https://drive.google.com/file/d/1KIROrAzNEp710JEfxMfiZLzvTpuHj3OZ/view?usp=sharing
Thank you!
For the count I added the decision making of the "D";
Count =
SUMX(
ADDCOLUMNS(
RawData,
"Count",
var Dep = RawData[Dep]
var res1 = COUNTROWS(
FILTER(
{RawData[ETD],RawData[ATD],RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]},
NOT ISBLANK([Value])
)
)
var res2 = COUNTROWS(
FILTER(
{RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]},
NOT ISBLANK([Value])
)
)
return if (LEFT(Dep, 1) = "D", res1, res2)
),
[Count]
)
I also followed your logic to go with the Counts measure:
Counts =
SUMX(
ADDCOLUMNS(
RawData,
"Count",
var Dep = RawData[Dep]
var res1 = COUNTROWS(
FILTER(
{RawData[ETD],RawData[ATD],RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]},
ISBLANK([Value])
)
)
var res2 = COUNTROWS(
FILTER(
{RawData[ETA],RawData[ATA],RawData[Estimated Delivery],RawData[Actual Delivery]},
ISBLANK([Value])
)
)
return if (LEFT(Dep, 1) = "D", res1, res2)
),
[Count]
)
Then I added the measure %
% = RawData[Count]/RawData[Total]
Result:
I do believe you would be better of using calculated columns but did not go their as you had choosen measures already.
IF I would have started from scratch, I would have gone with an unpivot table in power query what makes the coding more dynamic
As seen below, I need to find the difference in quantities for each individual fruits with respect to the previous value. I have previously tried using in built Power BI functions like "PreviousDay()" but haven't found success yet.
You can create these below 2 Measure for your purpose-
Pervious_Quantity =
Var current_row_date = MIN(your_table_name[Date])
var previous_date =
CALCULATE(
MAX(your_table_name[Date]),
FILTER(
ALLEXCEPT(your_table_name, your_table_name[Fruit]),
your_table_name[Date] < current_row_date
)
)
RETURN
CALCULATE(
SUM(your_table_name[Quantity]),
FILTER(
ALLEXCEPT(your_table_name, your_table_name[Fruit]),
your_table_name[Date] = previous_date
)
)
Difference = min(your_table_name[Quantity]) - if([Pervious_Quantity] = BLANK(),0, [Pervious_Quantity])
Here is the final output-
I have a cumulative total of CE's CE's cumulative (see below).
I need the cumulative total to reset to 0 after hitting the ResetDate
Looked all around forums but unable to find the answer, hope you can help me out.
CE's cumulative =
CALCULATE(
SUM (CE's),
FILTER( ALL( DimDate),
DimDate[Date] <= MAX( DimDate[Date] )
)
)
Date CE's cumulative ResetDate
10-10-2019 77.670.099
11-10-2019 78.057.691 11-10-2019
12-10-2019 78.114.554
13-10-2019 78.234.181
14-10-2019 78.469.789
15-10-2019 78.709.015 15-10-2019
16-10-2019 80.070.020
You can use this below measure-
cumulative_sum =
VAR current_date = MIN(your_table_name[Date])
VAR last_reset_date =
CALCULATE(
MAX(your_table_name[ResetDate]),
FILTER(
ALL(your_table_name),
your_table_name[Date] <= current_date
)
)
RETURN
IF(
last_reset_date = BLANK(),
CALCULATE(
SUM(your_table_name[CE's cumulative]),
FILTER(
ALL(your_table_name),
your_table_name[Date] <= current_date
)
),
CALCULATE(
SUM(your_table_name[CE's cumulative]),
FILTER(
ALL(your_table_name),
your_table_name[Date] <= current_date
&& your_table_name[Date] >= last_reset_date
)
)
)
Here is the output-
I would find the closest ResetDate to my Date and then use that in the filter:
VAR currentDate = SELECTEDVALUE(dimDate[date])
VAR lastResetDate = LASTDATE(FILTER(ALL(dimDate[ResetDate], dimDate[ResetDate] < currentDate)))
RETURN CALCULATE(SUM(CE's),
ALL(dimDate),
dimDate[date] > lastResetDate && dimDate[date] <= currentDate)
Currently visualizing sales for the past 30days, but looking to switch it in to the past 20 workdays instead, I've got workday column up and running in datetable, so ideally id want to use a filter of workday=1 and grab the 20 newest rows?
Sales 30d =
CALCULATE([Sales],
FILTER(
ALL(d_dates[date]),
d_dates[date]
>TODAY()-30))
This is what im using to show revenue for past 30 days, what'll i need to change?
You can try with this below measure-
slaes_last_20_days =
VAR today = TODAY()
VAR selected_date_min =
MINX(
TOPN(
20,
FILTER(
ALL(d_dates),
d_dates[date].[Date] <= today
&& workday = 1
),
d_dates[date].[Date],
DESC
),
d_dates[date].[Date]
)
RETURN
CALCULATE(
[Sales],
FILTER(
ALL(d_dates),
d_dates[date].[Date] >= selected_date_min
&& workday = 1
)
)
VAR Last20Workdays =
selectcolumns(
TOPN(
20,
FILTER(
d_dates,
d_dates[date] < TODAY()
&& d_dates[workday] = 1
),
d_dates[date],
DESC
),
"WorkDay",
d_dates[date]
)
This worked.