Hi everyone,
I currently have a report showing a Weekly table of data and upon clicking on each KPI entry, it populates a graph with Hourly values.
This is possible thanks to the following measure as the main table is an unpivotted, curated, version of the tables in the model:
KPI Selection =
SWITCH(
TRUE(),
VALUES('KPI_Table'[KPI]) = "Metric 1", SUM('Hourly'[Metric1]),
VALUES('KPI_Table'[KPI]) = "Metric 2", SUM('Hourly'[Metric2]),
VALUES('KPI_Table'[KPI]) = "Metric 3", SUM('Hourly'[Metric3]),
VALUES('KPI_Table'[KPI]) = "Metric 4", SUM('Hourly'[Metric4]),
VALUES('KPI_Table'[KPI]) = "Metric 5", SUM('Hourly'[Metric5]),
BLANK ()
)
To this report, I would like to add the following:
1 - A similar area graph of Hourly data for the last 12 weeks based off the YearWeek slicer (2016 data points, 168 * 12)
2 - Bar graph of Daily data for the last 12 weeks based off the YearWeek slicer (84 data points, 7 * 12)
3 - Bar graph of Weekly data for the last 12 weeks based off YearWeek slicer (12 data points)
Here's a Dummy pbix file with the data model replicated as best as possible.
I've had a thread open on this a long time ago, nearly solved it, and was left on my backlog ever since.
Here's a list of measures I've tried and believe might have gotten close to what I needed:
12Weeks =
VAR ReferenceDate = MAX ( 'Calendar'[Date] )
VAR StartDate = DATESINPERIOD ('Calendar'[Date], ReferenceDate, -84, DAY)
VAR Result =
CALCULATE(
[KPI Selection],
REMOVEFILTERS( 'Calendar' ),
KEEPFILTERS( StartDate )
)
RETURN
Result
12Weeks.2 =
VAR ReferenceDate = CALCULATE( MAX ( 'Daily'[Daily] ), 'Daily'[YearWeek]=SELECTEDVALUE(ISO50001[YearWeek]))
VAR Result =
CALCULATE([KPI Selection]),DATESINPERIOD('Daily'[Daily],LASTDATE('Daily'[Daily] ) ,-84,day))
RETURN
Result
L12W = CALCULATE([KPI Selection]),REMOVEFILTERS('Calendar'),
KEEPFILTERS(DATESINPERIOD('Calendar'[Date],LASTDATE('Calendar'[Date]),-84,day)), USERELATIONSHIP(Weekly[YearWeek],KPI_Table[YearWeek]))
Lastly, this is how the "Metric1" graphs should look like if YearWeek 2152 is selected:
Thank you in advance for taking some time to look into this,
Tom
@TomBLG , Based on what I got
if you select a date and want to display more than that, you need independent date table
//Date1 is independent Date table, Date is joined with Table
new measure =
var _max = maxx(allselected(Date1),Date1[Date])
var _min = _max -84
return
calculate( sum(Table[Value]), filter('Date', 'Date'[Date] >=_min && 'Date'[Date] <=_max))
Also, check
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
Hi @amitchandak,
Unfortunately I wasn't able to get to the solution I need with your measure nor with the links provided. Despite the new Date1 table (which I named Calendar1), it will still display just the week selected:
Another matter is the fact that this is only displaying properly on the area charts. For a bar chart, it will display all Metrics and instead highlight just the selected one, rather than simply showing the selected metric.
I suspect that rather than doing this:
new measure =
var _max = maxx(allselected(Calendar1),Calendar1[Date])
var _min = _max -84
return
calculate( [KPI Selection], filter('Calendar', 'Calendar'[Date] >=_min && 'Calendar'[Date] <=_max))
I need to somehow integrate this measure in that one instead of calling [KPI Selection] in the calculate:
KPI Selection =
SWITCH(
TRUE(),
VALUES('KPI_Table'[KPI]) = "Metric 1", SUM('Hourly'[Metric1]),
VALUES('KPI_Table'[KPI]) = "Metric 2", SUM('Hourly'[Metric2]),
VALUES('KPI_Table'[KPI]) = "Metric 3", SUM('Hourly'[Metric3]),
VALUES('KPI_Table'[KPI]) = "Metric 4", SUM('Hourly'[Metric4]),
VALUES('KPI_Table'[KPI]) = "Metric 5", SUM('Hourly'[Metric5]),
BLANK ()
)
If you see where the problem is and could change and send the pbix file back I would appreciate it immensely:
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