I have date dimension table and sales fact table.
Created a chart visual with date week on x axis and values as sum of salesamt.
In the filter pane added relative filter to the date. In the last 4 calendar weeks.
I have a measure that shows LASTDATE(DateTable[Date]) also on the report.
The last date is showing as 6 Feb 2021 (Saturday)
Same value when I select the latest week on x axis.
However when I choose any prior week on x axis, then the last date value is Sunday 31 Jan 2021.
Why does the current week last date show as 6th Jan 2021 (saturday) instead of 7th Jan 2021 (sunday)?
Currently, calendar week is defined Sunday to Saturday when it comes to filtering using relative dates. You can work around it by introducing additional column (basically date - 1 day) and set your relative filter on that.
I have a table containing a date field (from 1 March 2020 to now) that I need to filter to a specific date and the previous 6 days to give complete week's data. So if I chose 30 March I'd get a table of 24 March to 30 March. If I then chose 31 March the table would show 25 March to 31 March.
I can use a date slicer to choose a range of dates but I want to be able to pick a single date, with Power BI automatically selecting the earlier date.
Any pointers much appreciated.
Mark.
You can create two measure - one for Slicer selected date and Another one with 7 day minus from the selected date as below-
Considering your date table name is- Dates
selected_date = SELECTEDVALUE(Dates[Date])
seven_day_starts_from = DATEADD(Dates[Date],-7,DAY)
Now create your calculated measure first like-
total_sales = SUM(Sales[sale])
Here comes how you will always calculate last 7 days sales considering the selected date in the slicer-
7_day_sales =
(
CALCULATE(
[total_sales],
DATESBETWEEN(
'Dates'[Date],
[seven_day_starts_from],
[selected_date]
)
) + 0
)
Remember, this is just a sample flow showing how it should work. You should try to follow the steps with your data and table structure. Dates table is a calendar table and Sales table is connected to the Dates table using the Date column.
I know similar questions have been asked and answered previous to this, but for the life of me, cannot get any of those working with my limited knowledge on Power BI.
I have a table which contains 8 weeks worth of data which for most parts, spans 3 months. I currently calculate the daily average which is the "total" divided by the "total in". However what I need to do, is to display the average based upon the calendar month. Therefore, September will have a difference average to that of October and that of November.
Here's a sample of the data:
Date,Total In,Total Out,Daily Average,Total,Month
27 September 2017,10773,264,97.61,11037,September
28 September 2017,11198,382,96.70,11580,September
29 September 2017,17753,1122,94.06,18875,September
30 September 2017,9568,649,93.65,10217,September
28 October 2017,11434,938,92.42,12372,October
29 October 2017,1541,60,96.25,1601,October
30 October 2017,918,4,99.57,922,October
31 October 2017,8565,24,99.72,8589,October
01 November 2017,11452,635,94.75,12087,November
02 November 2017,7785,531,93.61,8316,November
So for November I would like to have the figure as (11452 + 7785) / (12087 + 8316) * 100 = 94.29%. Obviously, that figure would be present for all dates in November as an extra column. For October it would be (11434 + 1541 + 918 + 8565) / (12372 + 1601 + 922 + 8589) * 100 = 95.63%. I would then use the extra column and plot it on a line/bar chart.
So the above data would become:
Date,Total In,Total Out,Daily Average,Total,Month,Monthly Average
27 September 2017,10773,264,97.61,11037,September,96.00
28 September 2017,11198,382,96.70,11580,September,96.00
29 September 2017,17753,1122,94.06,18875,September,96.00
30 September 2017,9568,649,93.65,10217,September,96.00
28 October 2017,11434,938,92.42,12372,October,95.63
29 October 2017,1541,60,96.25,1601,October,95.63
30 October 2017,918,4,99.57,922,October,95.63
31 October 2017,8565,24,99.72,8589,October,95.63
01 November 2017,11452,635,94.75,12087,November,94.29
02 November 2017,7785,531,93.61,8316,November,94.29
I am having trouble getting my head around the SUMMARIZE functions etc in order to get this working without any help. So any help and explanation would be greatly appreciated.
Thanks.
Create a DAX using the EARLIER function should do the trick:
Month Average =
VAR sum_total_in =
CALCULATE(
SUM('table'[Total In]),
FILTER(
'table',
'table'[Month] = EARLIER('table'[Month])
)
)
VAR sum_total =
CALCULATE(
SUM('table'[Total]),
FILTER(
'table',
'table'[Month] = EARLIER('table'[Month])
)
)
RETURN sum_total_in / sum_total
So basically it sums the Total In and Total within the same month and returns the division.
Results:
P.S. You'll need to add the year to the filter as well if you have data across years with the same month.
I see you're asking your question from a DAX perspective, but here's a Power Query based answer that's quite easy. Starting with your table in Power Query (Power BI's Query Editor):
Select the Month column, then Transform -> Group By, and set up the dialog box like this...
and click OK.
You'll see this:
Then click the button at the top of the
AllData column to expand the nested tables, and set up the dialog box like this...
and click OK.
You'll see this:
Now click Add Column -> Custom Column, and set up the dialog box like this...
and click OK.
You'll see this:
Now select the first three columns (Month, Sum Total In, Sum Total) and click Home -> Remove Columns.
You'll see this:
You can double-click the Month.1 column title and rename it if you like.
I'm currently struggling with following request in PowerBI:
I have two CSV files as PowerBI queries, one which defines fiscal months, and another one which lists all subscriptions including start and end date:
Fiscal month CSV:
Month Fiscal Start Fiscal End
January 03.01.2016 04.02.2016
February 05.02.2016 03.03.2016
March 04.03.2016 06.04.2016
April 07.04.2016 02.05.2016
May 03.05.2016 06.06.2016
June 07.06.2016 03.07.2016
July 04.07.2016 05.08.2016
August 06.08.2016 02.09.2016
Subscription CSV:
Account-ID Subscription-Start Subscription-End Item Count
101 08.01.2016 07.02.2016 5
102 15.01.2016 14.03.2016 3
103 05.01.2016 04.06.2016 10
101 08.02.2016 07.03.2016 3
104 10.04.2016 09.05.2016 5
105 16.04.2016 15.07.2016 2
My challenge now is to drill down all subscription item counts per fiscal month as a powerBI table.
Note: an Item Count is valid for a fiscal month if its Subscription-Start < Fiscal End and its Subscription-End > Fiscal End. (Example: A subscription from 15.01.2016 - 14.02.2016 should be counted in january, but not in february)
PowerBI table (schematical example):
Month Item Count
January 18
February 16
March 10
April 17
May 12
June 2
July 0
August 0
How can I implement this report in PowerBI?
THX in advance for your help and BR
bdriven
I've found following solution for my problem:
First I've created a new Table and made a crossjoin of the two queries. Then I've filtered for the lines, where my Subscription Start was before the Fiscal Month End and Subscription End was after the Fiscal Month End.
Based on this new table I can create all respective reports.
Example Code see below:
Fiscal Month Report =
FILTER(
CROSSJOIN(
ALL('Fiscal_month');
ALL('Subscription')
);
('Subscription'[Subscription-Start] < 'Fiscal_month'[Fiscal End] && 'Subscription'[Subscription-End] > 'Fiscal_month'[Fiscal End])
)