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Hi, Guys,
I would like your help creating a dax measure counting the percent of ID records with a duration over 2 or 3 years. My data includes the service start and stop dates. (See table below). I would like to have a measure couting the number / percentage of IDs with a service duration over 3 years.
ID | spstart | spstop | spduration | ||
1 | 10/1/2021 | 10/2/2022 | 367 | ||
2 | 1/12/2020 | 1/12/2023 | 1095 | ||
3 | 5/10/2022 | 6/20/2023 | 376 |
My problem is that I need the measure to be dynamic. I would to know on every day from 1/1/2020 (when program starts) unit recent date, how many IDs are in service in that date, and how many IDs have been in service for over 3 years on that date.
To do this I have created a date table, "Date_new" with date field as [date_new]. The date model has an active join between [date_new] and [spstart], and inactive join between [date_new] and [spstop]. I can create a Dax measure to count the number of IDs in service on a timeline based on [date_new] and use it in the chart and table. But I have difficulties creating the measure to count how many / what percentage have service duration over 3 years. Here is the Dax Measure that is incorrect.
I would appreciate if you can give me some advice on how to create this dynamic measure.
Thanks.
hi @Anonymous
not sure if i fully get you, based on this table, say named data:
try to
1) add a calculated table like:
dates =
CALENDAR(
MIN(data[spstart]),
MAX(data[spstop])
)
Do not relate them.
2) plot a visual with dates[date] column and two measure like:
InServiceCount =
VAR _date = MAX(dates[Date])
RETURN
COUNTROWS(
FILTER(
data,
data[spstart]<=_date
&&data[spstop]>=_date
)
)
and
Pct3YPlus =
VAR CountInServiceOver3Y=
CALCULATE(
[InServiceCount],
FILTER(
data,
DATEDIFF(data[spstart], MIN(data[spstop], MAX(dates[Date])), YEAR)>=3
)
)
RETURN
DIVIDE(CountInServiceOver3Y, [InServiceCount])+0
it worked like:
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