I have sales data by customer as follows:
| - | A | B | C | D | E | F | G |
|---|---------------|--------|--------|--------|--------|--------|--------|
| 1 | Customer Name | Jan-18 | Feb-18 | Mar-18 | Apr-18 | May-18 | Jun-18 |
| 2 | Mr.A | 1000 | 500 | 0 | 200 | 0 | 0 |
| 3 | Mr.B | 0 | 300 | 200 | 0 | 0 | 100 |
I need the formula to know the last sales of the respective customer booked (the name of the month)
in this case, Mr. A last order is in Apr-18 while Mr.B is in Jun-18.
I have 2,000 plus customer and sales data since Apr 2016 up to last month, it will be a huge time saving to have a formula to help.
Assuming your 'months' are dates, not Text. Courtesy #barry houdini:
=LOOKUP(2,1/(B2:G2<>0),B$1:G$1)
in Row2 and copied down to suit, formatted mmm-yy.
Ref
An alternative to using LOOKUP() as in this answer, not sure what impact it has performance-wise as both need to create an array but I would take a stab in the dark that this is less performant:
=INDEX($B$1:$G$1,,MAX((B2:G2<>0)*COLUMN(B2:G2)-1)) - Ctrl+Shift+Enter
Ofcourse this could be edited to a dual lookup on the customer too:
=INDEX($B$1:$G$1,,MAX(INDEX(($B$2:$G$3<>0)*COLUMN($B$2:$G$3)-1,MATCH("Mr.B",$A$2:$A$3,0),0)))
This doesn't require the CSE as INDEX() handles the array manipulation
Related
I am trying to implement a YtD measure for my report in Excel with Power Pivot. My source looks roughly like this:
Table 1
| Month | Store | Branch | Article | Value |
|----------|-------|--------|---------|-------|
| January | 1 | A | Sales | 200 |
| January | 1 | A | Costs | 100 |
| January | 1 | A | Rent | 10 |
| February | 1 | A | Costs | 20 |
| February | 1 | A | Sales | 80 |
| March | 1 | A | Costs | 30 |
| March | 1 | A | Sales | 80 |
| February | 2 | B | Sales | 100 |
| February | 2 | B | Costs | 40 |
| February | 2 | B | Rent | 20 |
Linked to it, are a table Table 2 of months (name - number from 1 to 12), a table Table 3 of unique articles and a table Table 4 of unique stores with their branches.
I want to be able to display YtD for every article depending on the chosen month.
I have measures:
Val. := sum(table1[Value])
YtD1:= calculate(Val., all('Table 2'[Name]))
The former sums across all the values, which are filtered by article in my pivot report. The latter calculates a YtD across all months. It works, but I have to rewrite it so that it responds to filtering the last month and sums from the first month to the selected month.
I have tried to format month numbers to process them as dates (e.g. first day of the month), but couldn't appropriately handle the FORMAT function.
I have also tried to do a sum of months, i.e.:
YtD2= calculate(Val., filter(Table2;Table2[Number]<=2))
which, I hoped, would count months from January to February. It doesn't seem to do any good, resulting in numbers I cannot explain.
My desired output should look like this:
| Store | Sales | | Costs | |
|-------|-------|-----|-------|-----|
| | Val. | YtD | Val. | YtD |
| 1 | 80 | 280 | 20 | 120 |
| 2 | 100 | 100 | 40 | 40 |
if data is filtered by February.
Or
| Store | Sales | | Costs | |
|-------|-------|-----|-------|-----|
| | Val. | YtD | Val. | YtD |
| 1 | 160 | 360 | 50 | 150 |
| 2 | 100 | 100 | 40 | 40 |
if February and March are selected (Val. is displayed for February and March, but YtD from January to March).
Is there a way to implement this in DAX? Can this be done without conversion from month names (or numbers) to some date&
If not, can I get it to work for a month filter instead of a month slicer? That is, if only one month can be selected.
I cannot use variables and similar Power BI features.
Try:
YTD :=
VAR MaxSelectedMonth =
MAX( Table2[Number] )
RETURN
CALCULATE(
[Val.],
FILTER(
ALL( Table2 ),
Table2[Number] <= MaxSelectedMonth
)
)
Within a resource planner, my data has a row for each employee, and columns detailing the team they work for. Another column details the available days they will work in the year. The teams are also displayed along a row at the top, see below :
A | B | C | D | E | F | G |
1 Employee | Team 1 | Team 2 | Days | Finance | Risk | IT |
2 Employee 1 | Finance | | 170 | | | |
3 Employee 2 | Risk | Finance | 170 | | | |
4 Employee 3 | Finance | | 170 | | | |
5 Employee 4 | IT | Risk | 170 | | | |
6 Employee 5 | IT | Finance | 170 | | | |
I want to use columns E:G as a supply calculator per team. Therefore, the formula in cell E2 would be "=IF(B2=E1,D2,0)" and copied along the row, returning the 170 days under Finance and 0 under the rest.
The issue lies where an employee divides his time between two different teams. As you can see, some employees can work for 2 different teams (Employee 2 works for both Finance and Risk, for example). The formula in E3 would therefore need to be some kind of IF AND, where if a value is present in the Team 2 column (C), the value in the Days column (D) would be divided by two and split across the relevent team columns.
I've tried a few options, IF AND, nested IFS etc but cant seem to get the syntax correct. Any help greatly appreciated.
=IF(ISNUMBER(MATCH(E$1,$B2:$C2,0)),$D2/COUNTA($B2:$C2),0)
You actually want OR and COUNTA:
=IF(OR($B2=E$1,$C2=E$1),$D2/COUNTA($B2:$C2),0)
I have an Excel column that cannot be sorted and for which I need to create a unique id by group, similar to what is below:
+--------+------+
| Name | ID |
+--------+------+
| Jim | 1 |
| Sarah | 1 |
| Tim | 1 |
| Jim | 2 |
| Rachel | 1 |
| Sarah | 2 |
| Jim | 3 |
| Sarah | 3 |
| Rachel | 2 |
| Tim | 2 |
+--------+------+
You can do this with a simple COUNTIF() and getting a little creative with your cell references:
=COUNTIF($A$1:$A1, A2) + 1
Put that in B2 (assuming your list with headers starts in A1) and then copy down.
COUNTIF() here is counting the number of times the name in the adjacent cell has appears in all of the cells above it. As you copy it down, that range will grow to include all cells between A1 and the next row up.
I am trying to calculate a running total where orders are only valid during a certain date range. Each order has a value, a start date and an end date. I want to calculate the cumulative sum of the order's values only during the dates between an order's start date and end date.
I've read over this article on cumulative totals and have an equation for the running total but I can't figure out how to filter the equation so that it filter's out an order once the date table is past the order's End Date. The current measure I have is Cumulative Value:=CALCULATE(SUM(Orders[Vaue]), FILTER(ALL('Date'), [Date] <= MAX([Date]))) and I want to add a filter that filters out any orders with an end date past the current date row, similar to this Filter('Order', 'Orders'[Order_End_Date] < 'Date'[Date]). When I try to add this filter though I get an error since 'Date'[Date] is not used in any aggregation.
Below is the data model that I am using and a link to the Excel File with the data model.
The sample Data:
+-----------+
| Date |
+-----------+
| 1/1/2015 |
| 1/2/2015 |
| 1/3/2015 |
| 1/4/2015 |
| 1/5/2015 |
| 1/6/2015 |
| 1/7/2015 |
| 1/8/2015 |
| 1/9/2015 |
| 1/10/2015 |
+-----------+
+----------+------+------------------+----------------+
| Order_Id | Vaue | Order_Start_Date | Order_End_Date |
+----------+------+------------------+----------------+
| 1 | 1 | 1/1/2015 | 1/3/2015 |
| 2 | 3 | 1/2/2015 | |
| 3 | 6 | 1/3/2015 | 1/7/2015 |
| 4 | 7 | 1/5/2015 | |
+----------+------+------------------+----------------+
And the output of the current measure I have and what the correct measure's output should be.
+-----------+-----------------+--------------------------+
| Date | Current Measure | Desired Measure's Output |
+-----------+-----------------+--------------------------+
| 1/1/2015 | 1 | 1 |
| 1/2/2015 | 4 | 4 |
| 1/3/2015 | 10 | 9 |
| 1/4/2015 | 10 | 9 |
| 1/5/2015 | 17 | 16 |
| 1/6/2015 | 17 | 16 |
| 1/7/2015 | 17 | 10 |
| 1/8/2015 | 17 | 10 |
| 1/9/2015 | 17 | 10 |
| 1/10/2015 | 17 | 10 |
+-----------+-----------------+--------------------------+
Cumulative Value2:=CALCULATE(
SUM(Orders[Vaue])
,FILTER(
VALUES(Orders[Order_Start_Date])
,Orders[Order_Start_Date] <= MAX('Date'[Date])
)
,FILTER(
VALUES(Orders[Order_End_Date])
,ISBLANK(Orders[Order_End_Date])
|| Orders[Order_End_Date] >= MAX('Date'[Date])
)
)
Model Diagram (note I took out your date relation - for the limited use case you've provided, it only makes things more complicated):
Note: I will refer to function arguments positionally, with the first argument represented by (1).
So, what we're doing is similar to what you were trying. We've got two FILTER()s, each as an argument to our CALCULATE(). CALCULATE() combines its arguments (2)-(n) in a logical and.
The first FILTER() does essentially what you were already doing, except we are filtering the distinct values of the [Order_Start_Date], comparing them against the current filter context of the pivot table.
The second FILTER() loops over the distinct values of [Order_End_Date], checking two conditions combined in a logical or. We must handle the case of a BLANK [Order_End_Date]. This BLANK is normally implicitly converted to 0 == 1899-12-30, which is less than any date we're considering. In the case of a BLANK, we get a true value from ISBLANK() and the row is returned as a part of FILTER()'s resultset. The other test is simply checking that [Order_End_Date] is greater than the current filter context date in the pivot.
What you are looking for is often called the "event in progress" problem. Here are some posts that will help you to solve your problem.
a solid summary of the problem
a special case
guess this will help on first sight
if you can't get enough - read the complete white paper
I hope this helps.
-Tom
In MS Excel, I want to count the number of distinct categories (ignoring a specific item) based on a different column. Also, I want to find the average and the max for the same selection. This is the data:
+--------+-----------+-------+
| Person | idea | score |
+--------+-----------+-------+
| George | vacuum | 9 |
| George | box | 6 |
| George | x | 1 |
| Joe | scoop | 4 |
| Joe | x | 1 |
| Joe | x | 1 |
| Joe | scoop | 4 |
| Joe | gear | 7 |
| Mike | harvester | 10 |
| Mike | gear | 7 |
| Mike | box | 6 |
+--------+-----------+-------+
The result should be the following:
+--------+----------------+------------+-----------+
| Person | distinct ideas | Avg. score | Max score |
+--------+----------------+------------+-----------+
| George | 2 | 5.3 | 9 |
| Joe | 2 | 3.4 | 7 |
| Mike | 3 | 7.7 | 10 |
+--------+----------------+------------+-----------+
Because Joe has two "scoop" and one "gear" idea, and I want to ignore the "x" items.
I reluctantly gave up and did it manually for each person, e.g., this is for the first person:
SUM(IF(FREQUENCY(MATCH(B2:B4,B2:B4,0),MATCH(B2:B4,B2:B4,0))>0,1))-IF(COUNTIF(B2:B4,"x")>0,1,0)
Doesn't Excel have functions to return a range instead of a value? If I could select the range based on the name of the person in the first columns, I could count distinct occurrences or find the average in another column.
Add a 4th column and label it Distinct Ideas
If your table starts in A1, then:
EDIT: Formula changed to exclude "x". Screen shot also changed
D2: =IF(TRIM($B2)="x",0,IF(SUMPRODUCT(($A$2:$A2=A2)*($B$2:$B2=B2))>1,0,1))
and fill down.
Then construct a Pivot table
Person to Row Labels
Distinct Ideas to Values area
score to Values and select to Average
Score to Values area and Select Max
Format as desired. Here is one result: