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I have one data table that grows with new data every week. This is real estate market data, so the snapshot occurs weekly, the same advert_number will often appear in the data however with a different data download_date.
In several visualizations, I want to show the number of bids that changes under different filters, however, the metric is always to show the number of bids equal to the maximum day in the entire table.
#2#CountAdvertMaxData =
CALCULATE (
COUNT ( estate_data[advert_number] ),
FILTER (
ALL ( estate_data[date_download] ),
estate_data[date_download] = MAX ( estate_data[date_download] )
)
)
After putting on a few filters, I was able to filter out 8 records. The metrics show this number well, as does the pie chart when there is no legend. When the legend is added it shows values that are not clear where they come from.
The chart behaves as if it does not take the maximum date into account.
After adding an additional date slicer and manually selecting the latest date, the chart shows the correct data.
Any ideas why it behave's like this?
Solved! Go to Solution.
@kageyoshi777 , Try like
#2#CountAdvertMaxData =
Var _max = MAXX(ALL ( estate_data[date_download] ), estate_data[date_download] )
return
CALCULATE (
COUNT ( estate_data[advert_number] ),
FILTER (
ALL ( estate_data[date_download] ),
estate_data[date_download] = _max
)
)
@kageyoshi777 , Try like
#2#CountAdvertMaxData =
Var _max = MAXX(ALL ( estate_data[date_download] ), estate_data[date_download] )
return
CALCULATE (
COUNT ( estate_data[advert_number] ),
FILTER (
ALL ( estate_data[date_download] ),
estate_data[date_download] = _max
)
)
perfect! Thank you very much.
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