Forum Discussion
Day over day change
hello,
I have been stuck on this for a few days now. Could you please help me create a column to be added to the matrix to calculate the day over day change for a particular count.
See below. I have the dates in the column headers and counts for each of the dates below them. I want a new column to show %change of counts from previous day for each of the items in the name column. Thanks so much!
Hi Anonymous ,
One sample for your refe rence, here we can create a measure as below.
Measure = VAR pred = MAX ( [Day ] ) - 1 VAR prev = CALCULATE ( SUM ( [value] ), FILTER ( ALL ( Table1 ), [Day ] = pred ), VALUES ( Table1[Name] ) ) VAR change = MAX ( [value] ) - prev VAR Per = DIVIDE ( change, prev, 0 ) RETURN IF ( prev = 0, BLANK (), Per )
3 Replies
- v-frfei-msft
Community Support
Hi Anonymous ,
One sample for your refe rence, here we can create a measure as below.
Measure = VAR pred = MAX ( [Day ] ) - 1 VAR prev = CALCULATE ( SUM ( [value] ), FILTER ( ALL ( Table1 ), [Day ] = pred ), VALUES ( Table1[Name] ) ) VAR change = MAX ( [value] ) - prev VAR Per = DIVIDE ( change, prev, 0 ) RETURN IF ( prev = 0, BLANK (), Per )- AnonymousNot applicable
Hi - Thankyou so much for this. I did try this but still nt getting the anticipated results. please see below . As you can see the day over day % change is incorrect. I am wondering if its because the daily count of each of these names is not summed in the raw data.
- aamberwilliamssRegular Visitor
I figured it out, except my calculation looks at day-over-day differences (not % change).
Followers Day over Day Change =VAR previousWeiboday =MAX ( Weibo[Date] ) - 1VAR previousdayfollowers =CALCULATE( SUM ( Weibo[Followers] ), Weibo[Date]=previousWeiboday)VAR currentWeiboday =max(Weibo[Date])VAR currentdayfollowers =CALCULATE(SUM(Weibo[Followers]), (Weibo[Date])=currentWeiboday)RETURNcurrentdayfollowers - previousdayfollowers