How to count status changes in snapshot data
I have data that I snapshot daily. It has employee name and employee status. Once the status gets updated, it remains that way: ex for one employee:
1/1 Name: active
1/2 Name: active
1/3 Name: active
1/4 Name: Inactive
1/5 Name: Inactive
1/6 Name: Inactive
1/7: Name: Inactive
At the card level, I would like to be able to use the snapshot data to determine how many employees in a given week went from active to inactive. Any recommendations on how to do this? I was attempting to use Rank & Window function to and use a case statement to count # of inactive in a weeks timeframe, but it doesn't seem to be successful.
Best Answers
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@renee12345 I would suggest using a dataflow to group your data by week and name. In the same group by tile add a distinct count of Status. Whenever the distinct count equals 2, then that indicates that that person's status changed within that same week.
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@renee12345 Do you just need a date field for your cards? If so you could use the formula below to identify the first day of the week to group by instead:
`Snapshot Date` - DAYOFWEEK(`Snapshot Date`)
1
Answers
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@renee12345 I would suggest using a dataflow to group your data by week and name. In the same group by tile add a distinct count of Status. Whenever the distinct count equals 2, then that indicates that that person's status changed within that same week.
1 -
That makes sense! The issue I'm running into now is adding back in a date so I can visualize at the card level. I'm using the formula Week('Snapshot Date'), and when I add back in Snapshot Date it skews the counts. Any advice here? @MichelleH
0 -
@renee12345 Do you just need a date field for your cards? If so you could use the formula below to identify the first day of the week to group by instead:
`Snapshot Date` - DAYOFWEEK(`Snapshot Date`)
1 -
Thank you @MichelleH !!
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