I am trying to calculate "Distinct Sum" in DAX Powerpivot. I already have found help here: http://stackoverflow.com/questions/22613333/dynamic-sum-in-dax-picking-distinct-values
And my query is similar but extended further. I am seeking to find solution for such distinct Sum, but via two additional dimension (Month + Country)
In data example below there is Revenue performance on Part Number granularity. in Data there is also Shop Dimension, however Revenue is repeating on shops, is duplicated.
In the post mentioned above there is following solution:
Support:=MAX(Table1[Revenue])
DistinctSumOfRev:=SUMX(DISTINCT(Table1[Part_Num]),[Support])
It is work perfectly if you use Filter/Column/Row: Country and Month.
But if aggregate for All countries, or show performance on whole quarter, then solution will set MAX Revenue thru all countries/Months for and Part Number, which is not correct.
How to include into above solution also those two additional dimensions.
Basically to tell DAX that unique combination is PartNum+Country+Month
Country Month Part_Num Shop Revenue
----------------------------------------
UK 1 ABCD X 1000
France 1 ABCD X 500
France 1 ABCD Y 500
UK 2 ABCD X 1500
UK 2 ABCD Y 1500
UK 1 FGHJ X 3000
France 1 FGHJ X 600
UK 2 FGHJ X 2000
Add a calculated column to your Table1:
PartNumCountryMonth = [Part_Num]&[Country]&[Month]
Then create your measure as follows:
DistinctSumOfRev:=SUMX(DISTINCT(Table1[PartNumCountryMonth]),[Support])
Update
Alternative solution, calculated column is NOT required:
DistinctSumOfRev :=
SUMX ( SUMMARIZE ( 'Table1', [Country], [Part_Num], [Month] ), [Support] )
Related
I have a table like this:
Year Num Freq. Exam Grade Course
2014 102846 SM SM Astronomy 3
2015 102846 12,6 1,7 NC Astronomy 2
2017 102846 20 11,8 17 Astronomy 2
2015 102846 SM NC Defence Against the Dark Arts 4
2015 102846 11 4,5 NC Herbology 2
2015 102846 15 13,99 14 Herbology 2
I am trying to get the percentage of approved students (Grade >= 10) for each course by year and global average.
I've been trying for nearly 3 hours to do a calculated field but so far the only thing I could get was the sum of each student per year:
I have tried to do a calculated field with = Grade >= 10 hoping that it would give me a list of approved students but it gives me 1.
What am I doing wrong in here? It's my first time working with pivot tables.
I would really recommend to not mix string type (text) together with numbers. It's a horrifying idea and will cause a lot of headache when data will be used for calculations (both Freq. and Grade). Rather I would use 0 or some numeric value to represent the text.
Not recommended, but yes it's doable =)
You need some dummy variable to point out which row is number and which is text. So I created Grade Type. We can now count only the rows that have a number in the Grade column by using Grade Type = Number.
I create a table of the data and add the column Grade Type. I use this formula to get Grade Type:
=IF(ISNUMBER([#Grade]),"Number","Text")
I then create the following measures:
Nr of Approved Students
=COUNTX(FILTER(Table1, Table1[Grade Type]="Number"),
IF((VALUE(Table1[Grade])>=10),VALUE(Table1[Grade]),BLANK()))
First we filter which rows that should be evaluated (COUNTX(<table>,...)). If yes, then only count for rows that fulfill >=10, where VALUE() converts string number to numeric (COUNTX(...,<expression>)).
Nr of Student (w/ Grade Number)
=COUNTX(FILTER(Table1, Table1[Grade Type]="Number"), VALUE(Table1[Grade]))
Count all rows that have a number
Approved (% of Total)
=[Nr of Approved Students]/[Count of Grade]
Setup the PowerPivot Table
Create the PowerPivot and add the data to the data Model
Then create a new measure by clicking your pivot table and then "Measures" -> "New Measure..."
Fill in all the relevant data.
Result should be something like:
I'm trying to create a top3 ranking from a data table varying metrics but each time I get the wrong order from the cuberankedmember, usually misplacing ranks 2 and 3.
The data I'm mostly focused on is regarding sales revenue. Power pivot sums all sales by store, quite straight forward.
From this I use a cubeset formula that captures store name, filtered by a month and year, which the user types in as any day for the month, and set the measure which to sort by (NTS) (code 1).
The cuberankedmember selects the cubeset and defines the position (code 2).
Then the cubevalue selects as members the cuberankedmember, filters once again month and year, then pulls in the measure (code 3).
E4 is the date
Code1 (cell C21):
=CUBESET("ThisWorkbookDataModel";
"NONEMPTY([Store_Dict].[Nome_DSR].children,
([Calendar].[Year].[All].["&YEAR($E$4)&"],
[Calendar].[Month Number].[All].["&MONTH($E$4)&"]))";
"Ranking";
2;
"[Measures].[NTS]")`
`Code2` (cell `D22`):
`=CUBERANKEDMEMBER("ThisWorkbookDataModel";$C$21;1;"a")
`C21` is the `CUBESET` formula
Code3:
CUBEVALUE("ThisWorkbookDataModel";
$D22;
"[Calendar].[Month Number].["&MONTH($E$4)&"]";
"[Calendar].[Year].["&YEAR($E$4)&"]";
"[Measures].[NTS]")
Actual Result:
Ranking Store NTS
1 a 606
2 c 425
3 b 428
Expected result:
Ranking Store NTS
1 a 606
2 b 428
3 c 425
I have a programming issue in Excel that I don't know how to solve it. I want to create an automatic Delivery Cost Program on Excel that will help me calculating the cost more easily.
The input variables are:
Quantity (Values for 1, 2-9,10-49,50+ and more)
Shipping method
Depending on the Quantity Value and Shipping method, Excel should lookup on the table and return the total shipping cost according the following Table:
------------------------------------------
Delivery | Per shipment fee
------------------------------------------
| 1 2-9 10-49 50+
------------------------------------------
Standard | 2,99 1,89 1,5 1,1
Expedited | 5,99 2 1,75 1,25
Priority | 10,99 3,39 2,25 1,35
------------------------------------------
Let me show you with some examples what I want to get:
1- Example:
- Quantity: 15
- Delivery: Expedited
- Total Cost = 15 * 1,75 = 26,25$
1,75$ is the returned value after looking on the table using the variable Quantity and Shipping Method.
I have tested doing =IF statements but sure that there is an easier way to do it.
I'm not very good on Excel programming so any help will be appreciated
Best regards and have a great day!
Assuming that your table has the delivery types in column A in rows 4 through 6 and that the quantities are in row 3 (columns B through E) the following formula should do it for you:
=INDEX(B4:E6,MATCH(B9,A4:A6,0),MATCH(C9,B3:E3,1)) * Quantity
Note, that the quantities in row 3 must be a number. So, the numbers should be 1, 2, 10, and 50 and not 1, 2-9, 10-59, 50+. There are two possibilities to achieve that:
Create a helper row and hide it (while only showing the row with the "names" as you wish for.
Change the number format on these cells: for the column containing the 2 the number format should then be "2-9" (custom number format). For the number 10 the number format would be "10-49" and the number format for the last column would be "50+". Like this you see what you wan to see while the cells still contain numbers only (for the upper formula to work correctly).
I am helping a friend with some data analysis in Excel.
Here's how our data looks like:
Car producer | Classification | Prices from 9 different vendors in 9 columns
AUDI | C | 100 200 300 400 500 600 700 800 900
AUDI | C | 100 900 800 200 700 300 600 400 500
AUDI | B | .. ..
Now, for each classification and each producer, we produced a list that shows which of the 9 vendors has offers the most lowest prices (in terms of count, so for example there are 2 cars from AUDI in the C class, so vendor A would offer the lowest price for both).
What we need: A way to calculate the average price for this vendor. So, if we see that the vendor A has the lowest price for AUDI cars in the C class, then we want to know the average price for vendor A for these cars.
I'm quite stumped since I can't use the "standard" index-match-small approach since the prices are stored in 9 different columns.
I've suggested to use a long if-chain like this: =if(vendor=A,averageif(enter the criteria and select the column of vendor A for average values),if(vendor=B,average(enter the criteria and select the column of vendor B for average values),... etc.).
But this method is obviously limited and does not scale well to higher dimensions.
We also would like to avoid using any addons.
You're going to need to create a separate table that has all unique classifications in the rows and all dealers in the columns (same as yours, but with duplicate rows removed). Then, in each cell, take the average price for that classification*vendor combination. This can be done by using a combination of sumif/countif. For example, if your second table had a column for classifications in cells M2:M[end], calculating the average price for the Audi C class offered by vendor 1 could be:
=sumif(C$2:C$[end],"="&$M2,$B$2:$B$[end])/countif($B$2:$B$[end],"="&$M2)
This would look something like this:
Then you could simply find the cheapest vendor by matching the min price. For example, the cheapest vendor for the audi C class in my example image would be:
=index($N$1:$V$1,match(min($N2:$V2),$N2:$V2,0))
A lot this could be done using PivotTables. If it is a one off thing, I would go that route, if it needs to be automated, then try using a multicondtional VLOOKUP (needs to be entered as a Matrix Formula: CTRL+ALT+SHIFT). This is simply an example, not based on your data:
{=VLOOKUP(A11&B11,CHOOSE({1\2},A2:A7&B2:B7,C2:C7),2,0)}
A better explanation is given here at chandoos site:http://chandoo.org/wp/2014/10/28/multi-condition-vlookup/
I'm working on Excel with a lot of data and I'm having difficulty with knowing how to sort through it to get some important numbers. I have minimal Excel experience.
Right now I'm struggling with knowing how to get the average in the difference between two columns. The trick is that I have to get the average in difference when column A is less that column B and then, the same when it's more. And all that within a category.
So for example let's say I have 3 categories: Football, Soccer, and Basketball (these are just made up ones).
So in column A, I have: Soccer, Football, Basketball. Then, in column B and C, I have the scores for John and Adam for the last 3 months, respectively. Lastly, in column D, I have the differences between their scores.
So, for example:
Category John Adam Differences
Soccer 5 3 2
Soccer 6 2 4
Soccer 3 5 2
Soccer 4 0 4
I want to create a table for within each category I have a table like below:
Nº of cases Avg. Difference between John and Adam
When John's score is >
When John's score is <
When they are equal
Is there some type of formula where I can say something like this:
If the category is Soccer (the category being in column A), take the difference between John's score (column B) and Adam's score (column C) when John's score is larger than Adam's score, then calculate the average of those differences? Then, I would use the same formula but tweak it when John's score is smaller.
Additionally, would there be a formula where I can also, calculate within the category Soccer, how many times John's score is bigger than Adam's?
My data is much larger and I can't do this manually.
A B C D
1 Sport John Adam Differences
2 Soccer 5 3 2
3 Soccer 6 2 4
4 Soccer 3 5 -2
5 Soccer 4 0 4
6 Basketball 20 15 5
7 Basketball 7 13 -6
8 Basketball 26 10 16
9 Basketball 8 11 -3
Type in D1:
=B1-C1
Drag the formula in Column D to all rows which there are values in columns A, B and C.
Create the PivotTable.
Drag Sport to "Row Label" field. Drag Differences to "Row Label" field under Sport.
Drag Differences to "Values" field as: Count of Differences (same way the previous question)
Drag Differences to "Values" field (below Count of Differences), and set the mathematical operation as "Average" of Differences (left-mouse click Differences, choose "Values fields settings" and select "Average").
Give a right-click mouse in cell A5 (see picture bellow) and select "Group" option.
Set "Starting at" = 0; "Ending at" = 1000; "By" = 1000 (as in the picture below). Click ok.
You will have in each Sport, the count (frequency) and average Differences values for two groups:
When the Difference B1-C1 is negative; and
When the Difference B1-C1 is zero or positive.
The average of Differences when the score is equal will be always zero.