The ultimate Microsoft Fabric, Power BI, Azure AI, and SQL learning event: Join us in Stockholm, September 24-27, 2024.
Save €200 with code MSCUST on top of early bird pricing!
Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more. Get started
Data can be found here: https://www.dropbox.com/s/mz6ev4msk8ntop1/pbi_Example.xlsx?dl=0
Have a list of PRODUCT IDS with Product Name, Date and Price.
Would like to know how I can import an excel file and find the TOP 10 Percent Increases AND the BOTTOM 10 Percent Increases from the product IDs in the list.
It would need to look at the price on 10/23/19 and the price on 9/18/19 to figure the price increase. If the 9/18/19 price isn't included, it would not be part of the TOP 10
For BOTTOM 10, it would look at the same dates.
Then, if possible, create a new column to put the rank for each product ID. Could be T1, T2, T3, .... B1, B2, B3....
Thanks
Solved! Go to Solution.
HI, @pbeeyeqs
Based on my research, you could try this way as below:
Step1:
Create a measure for Percent Increases
price increase = var _currentdate=CALCULATE(MAX('Table'[DATE]),ALLSELECTED('Table')) return
var _lastdate=CALCULATE(MAX('Table'[DATE]),FILTER(ALLSELECTED('Table'),'Table'[DATE]<_currentdate))return
var _currentprice=CALCULATE(SUM('Table'[PRICE]),FILTER('Table','Table'[DATE]=_currentdate)) return
var _lastprice=CALCULATE(SUM('Table'[PRICE]),FILTER(ALLSELECTED('Table'[DATE]),'Table'[DATE]=_lastdate)) return
CALCULATE(DIVIDE(CALCULATE(SUM('Table'[PRICE]),FILTER('Table','Table'[DATE]=_currentdate)) - _lastprice, _lastprice))
Step2:
Create the rank measure for desc and asc
RankDESC = RANKX(ALL('Table'[PRODUCT NAME],'Table'[PRODUCT]),[price increase],,DESC)
RankASC = RANKX(ALL('Table'[PRODUCT NAME],'Table'[PRODUCT]),[price increase],,ASC)
Step3:
Create the conditional output
Result = IF([RankDESC]<=10,"T"&[RankDESC],IF([RankASC]<=10,"B"&[RankASC]))
Result:
and here is sample pbix file, please try it.
Regards,
Lin
HI, @pbeeyeqs
Based on my research, you could try this way as below:
Step1:
Create a measure for Percent Increases
price increase = var _currentdate=CALCULATE(MAX('Table'[DATE]),ALLSELECTED('Table')) return
var _lastdate=CALCULATE(MAX('Table'[DATE]),FILTER(ALLSELECTED('Table'),'Table'[DATE]<_currentdate))return
var _currentprice=CALCULATE(SUM('Table'[PRICE]),FILTER('Table','Table'[DATE]=_currentdate)) return
var _lastprice=CALCULATE(SUM('Table'[PRICE]),FILTER(ALLSELECTED('Table'[DATE]),'Table'[DATE]=_lastdate)) return
CALCULATE(DIVIDE(CALCULATE(SUM('Table'[PRICE]),FILTER('Table','Table'[DATE]=_currentdate)) - _lastprice, _lastprice))
Step2:
Create the rank measure for desc and asc
RankDESC = RANKX(ALL('Table'[PRODUCT NAME],'Table'[PRODUCT]),[price increase],,DESC)
RankASC = RANKX(ALL('Table'[PRODUCT NAME],'Table'[PRODUCT]),[price increase],,ASC)
Step3:
Create the conditional output
Result = IF([RankDESC]<=10,"T"&[RankDESC],IF([RankASC]<=10,"B"&[RankASC]))
Result:
and here is sample pbix file, please try it.
Regards,
Lin
Assuming you two dates in the slicer. You can try like this.
Diff = (
VAR _Cuur_start = Minx('Date','Date'[Date])
VAR _Curr_END = Maxx('Date','Date'[Date])
return
if (not(isblank(calculate(Avg(Sales[Sales price]),Sales[Sales Date] = _Cuur_start ))),
calculate(Avg(Sales[Sales price]),Sales[Sales Date] = _Cuur_start )
calculate(Avg(Sales[Sales price]),Sales[Sales Date] = _Curr_END ),null
)
)
then you can use the top-bottom filter.
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Check out the August 2024 Power BI update to learn about new features.
User | Count |
---|---|
121 | |
85 | |
77 | |
55 | |
48 |
User | Count |
---|---|
136 | |
128 | |
78 | |
64 | |
63 |