Day over day change

[Anonymous]

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! 

[v-frfei-msft · Accepted solution]

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 )

[aamberwilliamss]

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] ) - 1

VAR previousdayfollowers =

CALCULATE( SUM ( Weibo[Followers] ), Weibo[Date]=previousWeiboday)

VAR currentWeiboday =

max(Weibo[Date])

VAR currentdayfollowers =

CALCULATE(SUM(Weibo[Followers]), (Weibo[Date])=currentWeiboday)

RETURN

currentdayfollowers - previousdayfollowers

[Anonymous]

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.