On a new excel sheet, i am trying to list all rows for a specific drivers name from this sheet.
I want all the rows where the drivers name is NS (or cell A1 on my new sheet). I have over 1000 rows of data and more columns than below but this gives you an idea.
The first line of data is A4:M4
Tried index/match function but unable to get it to work.
+------------+-------------------------------+----------------+-------------+
| Date | Vehicle | Driver | Drops Taken |
+------------+-------------------------------+----------------+-------------+
| 01/04/2019 | LCG - DAF 7.5 Tonner | RL | |
| 01/04/2019 | GXO - Merc 3.5T Dropside | KA | 9 |
| 01/04/2019 | KDZ - DAF 12 Tonner | NS | 12 |
| 01/04/2019 | RYZ - DAF 12 Tonner | MM | 10 |
| 02/04/2019 | GXO - Merc 3.5T Dropside | KA | 8 |
| 02/04/2019 | KDZ - DAF 12 Tonner | NS | 12 |
| 02/04/2019 | LCG - DAF 7.5 Tonner | RL | |
| 02/04/2019 | RYZ - DAF 12 Tonner | MM | 9 |
| 03/04/2019 | KDV - DAF 12 Tonner | NS | |
| 03/04/2019 | GXO - Merc 3.5T Dropside | KA | 8 |
| 03/04/2019 | Hire Vehicle | RL | |
| 03/04/2019 | KDZ - DAF 12 Tonner | NS | 8 |
| 03/04/2019 | RYZ - DAF 12 Tonner | MM | 7 |
+------------+-------------------------------+----------------+-------------+
Related
Excel
| A | B | C | D | E | F | G | H |
---|-----------------|----------|--------|--------|-----------|-------------|---------|----------|---
1 | Loan | 50.000 | Year | Start | Interests | Repayment | Annuity | End |
2 | Interests p.a. | 2% | 1 | 50.000 | -1.250 | -1.750 | -3.000 | 48.250 |
3 | Annuity p.a. | 3.000 | 2 | 48.250 | -1.206 | -1.794 | -3.000 | 46.456 |
4 | Maturity | ?? | 3 | 46.456 | -1.161 | -1.839 | -3.000 | 44.618 |
5 | | | 4 | 44.618 | -1.115 | -1.885 | -3.000 | 42.733 |
| | | | | | | | |
| | | | | | | | |
21 | | | 20 | 8.094 | -202 | -2.798 | -3.000 | 5.297 |
22 | | | 21 | 5.297 | -132 | -2.868 | -3.000 | 2.429 |
23 | | | 22 | 2.429 | -61 | -2.939 | -3.000 | 0 |
The above loan of 50.000 has an interest rate of 2% and an annuity of 3.000.
In the table from C1:H23 the annual development of the remaining loan is displayed.
Based on this helper table I know that the maturity of the loan is 22 years by using the following formula in Cell B4:
B4 = COUNTA(C1:C22)
However, my question is if there is an Excel-Formula that can calculate the maturity in one cell so I do not need the helper table in C1:H23?
Excel-Table:
| A | B | C | D | E | F | G |
-----|----------------|-----------------|------------------|--------|---------|---------|---------|-----
1 | month&year | date | customer | | 2020-01 | 2020-03 | 2020-04 |
-----|----------------|-----------------|------------------|--------|---------|---------|---------|-----
2 | 2020-01 | 2020-01-10 | Customer A | | 3 | 2 | 4 |
3 | 2020-01 | 2020-01-14 | Customer A | | | | |
4 | 2020-01 | 2020-01-17 | Customer B | | | | |
5 | 2020-01 | 2020-01-19 | Customer B | | | | |
6 | 2020-01 | 2020-01-23 | Customer C | | | | |
7 | 2020-01 | 2020-01-23 | Customer B | | | | |
-----|----------------|-----------------|---------------- -|--------|---------|---------|---------|-----
8 | 2020-03 | 2020-03-18 | Customer E | | | | |
9 | 2020-03 | 2020-03-19 | Customer A | | | | |
-----|----------------|-----------------|------------------|--------|---------|---------|---------|-----
10 | 2020-04 | 2020-04-04 | Customer B | | | | |
11 | 2020-04 | 2020-04-07 | Customer C | | | | |
12 | 2020-04 | 2020-04-07 | Customer A | | | | |
13 | 2020-04 | 2020-04-07 | Customer E | | | | |
14 | 2020-04 | 2020-04-08 | Customer A | | | | |
15 | 2020-04 | 2020-04-12 | Customer A | | | | |
16 | 2020-04 | 2020-04-15 | Customer B | | | | |
17 | |
In my Excel file I want to calculate the unique count of cutomers per month as you can see in Cell E2:G2.
I already inserted Column A as a helper column which extracts only the month and the year from the date in Column B.
Therefore, the date-formatting is the same as in the timline in Cell E1:G2.
I guess the formula to get the unique count per month is somehow related to =COUNTIFS($A:$A,E$1) but I have no clue how to modify this formula to get the expected values.
Do you have any idea?
Here's one approach which would work for Office 365 and if you have access to UNIQUE:
=COUNTA(UNIQUE(IF($A$2:$A$16=G$1,$C$2:$C$16,""),,FALSE))-1
For older versions, following will work with CTRL+SHIFT+ENTER (array entry)
=SUM(--(FREQUENCY(IFERROR(MATCH($A$2:$A$16&$C$2:$C$16,E$1&$C$2:$C$16,0),"a"),MATCH($A$2:$A$16&$C$2:$C$16,E$1&$C$2:$C$16,0))>0))
You can do it without any helping column.
=SUM(--(UNIQUE(FILTER($C$2:$C$16,TEXT($B$2:$B$16,"yyyy-mm")=E$1))<>""))
For older version of excel use below formula with your helper column.
=SUMPRODUCT(--($A$2:$A$16=D$1)*(1/COUNTIFS($A$2:$A$16,$A$2:$A$16,$C$2:$C$16,$C$2:$C$16)))
I am new to this site and haven't done much in Excel of decades (yes, decades), so I forgotten more than I know now.
Background: I am working on a simple pay sheet checking spreadsheet. One Worksheet is input timesheet for data entry, the complex one does all the calculations (Hourly rate; shift loading; tax formula, etc.) and the final worksheet presents the results in the same format as pay slip. Having finished the complex formulas in the calculation sheet, I am now stuck on condensing the results for the final results on the last sheet. I have try numerous functions including: vlookup, index, match, rank.eq, small and others, as per examples of other question on this site. Sample data is:
+----+-----------------------------------------------------+----------------+------------+--------------+--------+--------+-----+--------+
| | A | B | C | D | E | F | G | H |
+----+-----------------------------------------------------+----------------+------------+--------------+--------+--------+-----+--------+
| 1 | Sample data: | | | | | | | |
| 2 | Monday | Ordinary Hours | 30/04/2018 | Day Shift | 10.85 | 21.85 | 1 | 237.07 |
| 3 | Tuesday | Ordinary Hours | 1/05/2018 | | | 21.85 | 1 | |
| 4 | Wednesday | Ordinary Hours | 2/05/2018 | | | 21.85 | 1 | |
| 5 | Thursday | Ordinary Hours | 3/05/2018 | | | 21.85 | 1 | |
| 6 | Friday | Ordinary Hours | 4/05/2018 | | | 21.85 | 1 | |
| 7 | | | | | | | | |
| 8 | | | | | | | | |
| 9 | Monday | Ordinary Hours | 7/05/2018 | | | 21.85 | 1 | |
| 10 | Tuesday | Ordinary Hours | 8/05/2018 | | | 21.85 | 1 | |
| 11 | Wednesday | Ordinary Hours | 9/05/2018 | Day Shift | 10.85 | 21.85 | 1 | 237.07 |
| 12 | Thursday | Ordinary Hours | 10/05/2018 | Day Shift | 10.85 | 21.85 | 1 | 237.07 |
| 13 | Friday | Ordinary Hours | 11/05/2018 | | | 21.85 | 1 | |
| 14 | | | | | | | | |
| 15 | Monday | Overtime 1.5 | 30/04/2018 | | | 21.85 | 1.5 | |
| 16 | Tuesday | Overtime 1.5 | 1/05/2018 | Overtime 1.5 | 2 | 21.85 | 1.5 | 65.55 |
| 17 | Wednesday | Overtime 1.5 | 2/05/2018 | | | 21.85 | 1.5 | |
| 18 | Thursday | Overtime 1.5 | 3/05/2018 | | | 21.85 | 1.5 | |
| 19 | Friday | Overtime 1.5 | 4/05/2018 | | | 21.85 | 1.5 | |
| 20 | Saturday | Overtime 1.5 | 5/05/2018 | | | 21.85 | 1.5 | |
| 21 | | | | | | | | |
| 22 | Monday | Overtime 1.5 | 7/05/2018 | | | 21.85 | 1.5 | |
| 23 | Tuesday | Overtime 1.5 | 8/05/2018 | | | 21.85 | 1.5 | |
| 24 | Wednesday | Overtime 1.5 | 9/05/2018 | | | 21.85 | 1.5 | |
| 25 | Thursday | Overtime 1.5 | 10/05/2018 | | | 21.85 | 1.5 | |
| 26 | Friday | Overtime 1.5 | 11/05/2018 | | | 21.85 | 1.5 | |
| 27 | Saturday | Overtime 1.5 | 12/05/2018 | | | 21.85 | 1.5 | |
| 28 | | | | | | | | |
| 29 | | | | | | | | |
| 30 | Required result on separate sheet in same workbook: | | | | | | | |
| 31 | Taxable Allowances | Comments | Qty | Rate | Factor | Amount | | |
| 32 | Ordinary Hours | 30/04/2018 | 10.85 | 21.85 | 1 | 237.07 | | |
| 33 | Ordinary Hours | 9/05/2018 | 10.85 | 21.85 | 1 | 237.07 | | |
| 34 | Ordinary Hours | 10/05/2018 | 10.85 | 21.85 | 1 | 237.07 | | |
| 35 | Overtime 1.5 | 1/05/2018 | 2 | 21.85 | 1.5 | 65.55 | | |
| 36 | | | | | | | | |
| 37 | | | | | | | | |
| 38 | | | | | | | | |
| 39 | | | | | | | | |
| 40 | | | | | | | | |
+----+-----------------------------------------------------+----------------+------------+--------------+--------+--------+-----+--------+
I haven't written DAX in a while and I'm having a bit of a hard time putting this together and I am hoping someone could throw in a suggestion.
What I have:
Qty Table (a lot more months than January):
+----------+-----------+----------+
| Location | Date | LaborQty |
+----------+-----------+----------+
| NY | 1/3/2017 | 41.024 |
| NY | 1/4/2017 | 33.836 |
| NY | 1/5/2017 | 20.431 |
| NY | 1/6/2017 | 35.544 |
| NY | 1/7/2017 | 0 |
| NY | 1/9/2017 | 33.337 |
| NY | 1/10/2017 | 41.799 |
| NY | 1/11/2017 | 70.469 |
| NY | 1/12/2017 | 35.514 |
| NY | 1/13/2017 | 31.573 |
| NY | 1/15/2017 | 0 |
| NY | 1/16/2017 | 22.041 |
| NY | 1/17/2017 | 30.518 |
| NY | 1/18/2017 | 47.576 |
| NY | 1/19/2017 | 29.53 |
| NY | 1/20/2017 | 18.155 |
| NY | 1/21/2017 | 0 |
| NY | 1/23/2017 | 31.284 |
| NY | 1/24/2017 | 27.695 |
| NY | 1/25/2017 | 38.907 |
| NY | 1/26/2017 | 16.289 |
| NY | 1/27/2017 | 30.976 |
| NY | 1/28/2017 | 0 |
| NY | 1/30/2017 | 21.434 |
| NY | 1/31/2017 | 16.49 |
+----------+-----------+----------+...etc
Rates Table:
+----------+-----------+------------+-----------+---------+-----------+--------+
| Location | DateFrom | DateTo | MonthFrom | MonthTo | RateType | Amount |
+----------+-----------+------------+-----------+---------+-----------+--------+
| NY | 1/1/2017 | 6/30/2017 | 1 | 6 | LaborRate | 129.7 |
| NY | 7/1/2017 | 9/30/2017 | 7 | 9 | LaborRate | 129.8 |
| NY | 10/1/2017 | 12/31/2017 | 10 | 12 | LaborRate | 129.9 |
| DC | 1/1/2017 | 6/30/2017 | 1 | 6 | LaborRate | 130.1 |
| DC | 7/1/2017 | 9/30/2017 | 7 | 9 | LaborRate | 130.5 |
| DC | 10/1/2017 | 12/31/2017 | 10 | 12 | LaborRate | 130.7 |
+----------+-----------+------------+-----------+---------+-----------+--------+
Desired type of output for the month (e.g. LaborQty x LaborRate):
+-------+----------+-----------+------------+
| Month | LaborQty | LaborRate | Result |
+-------+----------+-----------+------------+
| 1 | 674.22 | 129.74 | 87473.3 |
| 2 | 350 | 129.74 | 45409 |
| 3 | 375 | 129.74 | 48652.5 |
| 4 | 400 | 129.74 | 51896 |
| 5 | 380 | 129.74 | 49301.2 |
| 6 | 500 | 129.74 | 64870 |
| 7 | 550 | 129.76 | 71368 |
| 8 | 600 | 129.76 | 77856 |
| 9 | 675 | 129.76 | 87588 |
| 10 | 700 | 129.98 | 90986 |
| 11 | 780 | 129.98 | 101384.4 |
+-------+----------+-----------+------------+
What I am trying to write:
A DAX measure that will output amount like the one shown in the result column. If I where to write a linq query for picking the correct rate it will look something like this:
LaborRate = db.Rates
.Where(a => a.DateFrom <= SelectedDate & a.DateTo >= SelectedDate & a.RateType == "LaborRate")
.Select(a => a.Amount).Sum();
I have tried a combination of CALCULATE, SUM, SUMX, FILTER, RELATED but I couldn't get it to work. Any advice would be much appreciated. What would be the simplest approach?
I was able to achieve this by doing the following.
Add Month = MONTH(Qty[Date]) as a calculated column to your Qty table.
Create a TotalLaborQty measure in the Qty table as SUM(Qty[LaborQty]).
Define a LaborRate measure in the Rates table as detailed below.
Define a Result measure as [TotalLaborQty] * [LaborRate].
Set them up in a matrix with Qty[Location] and Qty[Month] in the rows and the three measures as the values.
LaborRate =
VAR SelectedMonth = SELECTEDVALUE(Qty[Month])
VAR SelectedLocation = SELECTEDVALUE(Qty[Location])
RETURN CALCULATE(SUM(Rates[Amount]),
FILTER(ALL(Rates),
Rates[MonthFrom] <= SelectedMonth &&
Rates[MonthTo] >= SelectedMonth &&
Rates[Location] = SelectedLocation))
I have a set of data as below.
SHEET 1
+------+-------+
| JANUARY |
+------+-------+
+----+----------+------+-------+
| ID | NAME |COUNT | PRICE |
+----+----------+------+-------+
| 1 | ALFRED | 11 | 150 |
| 2 | ARIS | 22 | 120 |
| 3 | JOHN | 33 | 170 |
| 4 | CHRIS | 22 | 190 |
| 5 | JOE | 55 | 120 |
| 6 | ACE | 11 | 200 |
+----+----------+------+-------+
SHEET2
+----+----------+------+-------+
| ID | NAME |COUNT | PRICE |
+----+----------+------+-------+
| 1 | CHRIS | 13 | 123 |
| 2 | ACE | 26 | 165 |
| 3 | JOE | 39 | 178 |
| 4 | ALFRED | 21 | 198 |
| 5 | JOHN | 58 | 112 |
| 6 | ARIS | 11 | 200 |
+----+----------+------+-------+
The RESULT should look like this in sheet1 :
+------+-------++------+-------+
| JANUARY | FEBRUARY |
+------+-------++------+-------+
+----+----------+------+-------++-------+-------+
| ID | NAME |COUNT | PRICE || COUNT | PRICE |
+----+----------+------+-------++-------+-------+
| 1 | ALFRED | 11 | 150 || 21 | 198 |
| 2 | ARIS | 22 | 120 || 11 | 200 |
| 3 | JOHN | 33 | 170 || 58 | 112 |
| 4 | CHRIS | 22 | 190 || 13 | 123 |
| 5 | JOE | 55 | 120 || 39 | 178 |
| 6 | ACE | 11 | 200 || 26 | 165 |
+----+----------+------+-------++-------+-------+
I need formula in column name "FEBRUARY". this formula will find its match in sheet 2
Assuming the first Count value should go in cell E3 of Sheet1, the following formula would be the usual way of doing it:-
=INDEX(Sheet2!C:C,MATCH($B3,Sheet2!$B:$B,0))
Then the Price (in F3) would be given by
=INDEX(Sheet2!D:D,MATCH($B3,Sheet2!$B:$B,0))
I think this query will work fine for your requirement
SELECT `Sheet1$`.ID,`Sheet1$`.NAME, `Sheet1$`.COUNT AS 'Jan-COUNT',`Sheet1$`.PRICE AS 'Jan-PRICE', `Sheet2$`.COUNT AS 'Feb-COUNT',`Sheet2$`.PRICE AS 'Feb-PRICE'
FROM `C:\Users\Nagendra\Desktop\aaaaa.xlsx`.`Sheet1$` `Sheet1$`, `C:\Users\Nagendra\Desktop\aaaaa.xlsx`.`Sheet2$` `Sheet2$`
WHERE (`Sheet1$`.NAME=`Sheet2$`.NAME)
Provide Actual path insted of
C:\Users\Nagendra\Desktop\aaaaa.xlsx
First you need to know about how to make connection. So refer http://smallbusiness.chron.com/use-sql-statements-ms-excel-41193.html