This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi all,
I have data roughly in the below format. For each week, I want to get the count of IDs that were present in the previous week but are missing in the current week. In the example below, April 14th - 2 (IDs 2 and 4 are missing), April 21st - 1 (ID 5 is missing). I want to create a chart with this week over week numbers.
| id | Week |
| 1 | 4/7/2023 |
| 2 | 4/7/2023 |
| 3 | 4/7/2023 |
| 4 | 4/7/2023 |
| 1 | 4/14/2023 |
| 3 | 4/14/2023 |
| 5 | 4/14/2023 |
| 6 | 4/14/2023 |
| 1 | 4/21/2023 |
| 3 | 4/21/2023 |
| 6 | 4/21/2023 |
Please let me know how I can go about it. Note that I have other columns in the table and may need to apply some filters in the formula like name = "xyz" while doing this calculation.
Thank you!
Solved! Go to Solution.
Missing =
VAR __wk = MAX( STAT[week] )
RETURN
TOCSV(
EXCEPT(
CALCULATETABLE( VALUES( STAT[id] ), STAT[week] = __wk - 7 ),
VALUES( STAT[id] )
),
,
,
FALSE()
)Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Hi,
You may download my PBI file from here.
Hope this helps.
You are welcome.
Missing =
VAR __wk = MAX( STAT[week] )
RETURN
TOCSV(
EXCEPT(
CALCULATETABLE( VALUES( STAT[id] ), STAT[week] = __wk - 7 ),
VALUES( STAT[id] )
),
,
,
FALSE()
)Expertise = List.Accumulate( {Days as from Today}, {Skills and Knowledge}, (Current, Everyday) => Current & Day.LearnAndPractise(Everyday) ) |
Thank you @ThxAlot ! I used COUNTROWS instead of TOCSV to get the count instead of the list. Appreciate your help!
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 36 | |
| 29 | |
| 29 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 69 | |
| 39 | |
| 33 | |
| 24 | |
| 23 |