@StarMusk10
You do not need SUMPRODUCT for this. You can use SUMIFS (which offers simpler syntax). For example, this formula will get "None" values for Fy19 Q1 in Unit "1".
=SUMIFS(C$2:C$55,$B$2:$B$55,">=1-Oct-2018",$B$2:$B$55,"<1-Jan-2019",$A$2:$A$55,1)
Please find attached file with...
Follow what @Chihiro said.
If you need some inspiration, here are few things you could try.
Make a pareto chart - show 20% contracts that contribute 80% (or most) amount and combine others to a single column "Others"
Show contracts in descending order of value in either a table (with some...
@yaswanth92 Good question. I wrote a blog post about this with 14 different options. Check it out here:
https://chandoo.org/wp/charts-for-source-vs-use-of-funds-data
Please read the corresponding article for this chart here:
https://chandoo.org/wp/interactive-sales-chart-in-excel/
There is a video too, explaining how its all done :)
@Brij... You can use a simple DISTINCTCOUNT formula to count how many distinct prices are there in a row context.
add the measure
unique count:=DISTINCTCOUNT(Table1[Unit Price Each])
remove unit price each from the row label area
Add the unique count measure to report
This will tell you how...
@LOGi Welcome to Chandoo.org forums and thanks for posting your question.
Very interesting indeed. For better data management purposes, I recommend storing both names in 2 columns. But assuming the name is one cell and always in first name space last name format below solution should work...
I hope your formula from post #3 solves the Power Query issue. For DAX part, you can use FORMAT formula. Assuming [date] column has the date & time in the format you mentioned, you can use
=FORMAT([date], "yyyymmddhh")
finally woke up. Here is another one.
=ROUND((SUMPRODUCT(--(C5>={356;396;494;712;1283;1539;3461}),(C5-{355;395;493;711;1282;1538;3460}),{0.19;0.1;-0.08;0.1377;-0.0027;0.045;0.1}))+0.17,0)
Alternatively, the one suggested by @NARAYANK991 should work too.
Alternatively, you can also just Copy Paste instead of dragging. This will keep the structural refs intact while changing relative refs as you would expect.
You can try a panel chart to explore such inter-relationships.
I have used absolute values, but you can also try with indexation. That can show sharp changes compared to initial values in 2011
Both pictures embedded below.
Absolute values trend:
Indexed values trend: