Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Filter Measure Between Dates

I have data which has a from and to date, with the date it is created in the from and the date its no longer active in the to column. I created a filter measure so I can selected a date from a discon...
Need Help
  • Anonymous's avatar
    Anonymous
    6 years ago

    I managed to created a count measure that works as I would like;

    Count of Active =

    VAR __SelectedDate = [Selected Date]
    Return
    CALCULATE(COUNT('Risk Data'[Id]),__SelectedDate>'Risk Data'[FromTT], IF(ISBLANK('Risk Data'[ToTT]), TRUE(), __SelectedDate<'Risk Data'[ToTT]))

    But I'm not sure how'd I go about turning this into a true/false filter measure of each risk ID
  • v-lili6-msft's avatar
    v-lili6-msft
    6 years ago

    hi Anonymous 

    Anonymous wrote:

    I managed to created a count measure that works as I would like;

    Count of Active =

    VAR __SelectedDate = [Selected Date]
    Return
    CALCULATE(COUNT('Risk Data'[Id]),__SelectedDate>'Risk Data'[FromTT], IF(ISBLANK('Risk Data'[ToTT]), TRUE(), __SelectedDate<'Risk Data'[ToTT]))

    But I'm not sure how'd I go about turning this into a true/false filter measure of each risk ID

    I have test on my side, This formula works well, and what is " I'm not sure how'd I go about turning this into a true/false filter measure of each risk ID"?

     

    Regards,

    Lin

  • Anonymous's avatar
    Anonymous
    6 years ago

    Ah sorry, I've just realized if I use my count of acting as the visual level filter, I just need to set it to is greater than 0 to get the effect I was looking for.

    The previous response about setting the filter to true was confusing me since it wasn't an IF measure.

kentyler's avatar
kentyler
Solution Sage
6 years ago

A lot of them seem to be history tables... are they all histories of the same event ?

Anonymous's avatar
Anonymous
Not applicable
6 years ago

The Data is for BowTie Reporting. We have different hazards at our company, i.e. Vehicle accidents. Each of these hazards have different threats and consequences, example threats being crash as the result of employee intoxication, or crash as a result of third-party error. Different consequences being cost of destroyed vehicles, physical injury, loss of life. These threats and consequences have controls to mitigate these risks, such as license checks to take out company cars, sobriety checks, insurance to mitigate financial loss. All of these have different levels of severity and likelihood allocated to them, such as a crash resulting in loss of life being high severity and low likely hood, or a fender bender being moderate likelihood, low severity. These likelihoods are determined by the efficacy of the controls to prevent them such as the sobriety check and license reducing the likelihood of occurrence, so when new check are added in, likelihoods change, or if we implement more effective controls. I want to be able to see the number of risks over time, how effectively we've been covering them etc.