I have a data set in MS Excel 2013 which looks like this:
+------+------------+----------------+
| Name | DateWorked | HoursCompleted |
+------+------------+----------------+
| abc | 03/01/2016 | 4:53 |
| abc | 03/02/2016 | 5:22 |
| ghi | 03/03/2016 | 2:10 |
| jkl | 03/04/2016 | 5:30 |
| mno | 03/05/2016 | 4:20 |
| pqr | 03/06/2016 | 0:20 |
+------+------------+----------------+
where Name is string, DateWorked is mm/dd/yyyy, HoursCompleted is h:mm data type/format.
I am using ADODB to get some results out this data, storing it in a ADODB.Recordset and displaying in another sheet.
My code/query looks something like this:
countCommand.CommandText = "SELECT SUM([HoursCompleted]) FROM [Sheet1$] WHERE [Name] = 'abc' AND [DateWorked] BETWEEN #02/28/2016# AND #03/02/2016#"
Set countResults = countCommand.Execute
Now this works like a charm and gives me a result of 10:15.
However if the first value under DateWorked is NOT a Date datatype then I am not getting the result. For example, if my data looks like this:
+------+------------+----------------+
| Name | DateWorked | HoursCompleted |
+------+------------+----------------+
| abc | Not worked | 0:00 |
| abc | 03/02/2016 | 5:22 |
| ghi | 03/03/2016 | 2:10 |
| jkl | 03/04/2016 | 5:30 |
| mno | 03/05/2016 | 4:20 |
| pqr | 03/06/2016 | 0:20 |
+------+------------+----------------+
How do I set the datatype for my columns?
Related
Let's say I have a table as follows
| make | model | license | mileage | book value |
|-----------|-----------|---------|---------|------------|
| ford | F150 | 123456 | 34000 | 35000 |
| chevrolet | Silverado | 555778 | 32000 | 29000 |
| | | | | |
Let's pretend I had to unpivot and all that, which I've done. I just used simplified data for this question. Now let's assume I run the query today (July 30th) I want my result to be:
| Date | make | model | license | mileage | book value |
|------------|-----------|-----------|---------|---------|------------|
| 2020-07-30 | ford | F150 | 123456 | 34000 | 35000 |
| 2020-07-30 | chevrolet | Silverado | 555778 | 32000 | 29000 |
| | | | | | |
I want to add the day the query is run. However, here's where I am stuck. Let's say I ran the query tomorrow, I want it to add the new values to the bottom of the existing result:
| Date | make | model | license | mileage | book value |
|------------|-----------|-----------|---------|---------|------------|
| 2020-07-30 | ford | F150 | 123456 | 34000 | 35000 |
| 2020-07-30 | chevrolet | Silverado | 555778 | 32000 | 29000 |
| 2020-07-31 | ford | F150 | 123456 | 34200 | 35000 |
| 2020-07-31 | chevrolet | Silverado | 555778 | 32156 | 29000 |
This would allow me to track the fleet over time.
Any help would be greatly appreciated
I'm trying to create a table that's easy to view the schedules from a raw data.
The raw data looks like the below
Jobname: deletearchive
Start_time: 00:00,01:00,23:45
Days_of_week: su,mo,sa
I would like to put them into columns with header su and time from 00:00 to 23:00 for each day. One challenge i see is I need consider 3 criteria - day(su to mo), time(some are not at 00 minutes but need to be round down) and the jobname. I have 500 jobnames with different schedules.
+---------------+-------+-------+-------+-------+-------+-------+--+--+--+--+--+--+--+
| JOBNAME | su | su | su | mo | mo | mo | | | | | | | |
+---------------+-------+-------+-------+-------+-------+-------+--+--+--+--+--+--+--+
| | 00:00 | 01:00 | 23:00 | 00:00 | 01:00 | 23:00 | | | | | | | |
| deletearchive | yes | yes | 23:45 | yes | yes | 23:45 | | | | | | | |
| JOB2 | | | | | | | | | | | | | |
| JOB3 | | | | | | | | | | | | | |
+---------------+-------+-------+-------+-------+-------+-------+--+--+--+--+--+--+--+
Is there a way by using a DAX measure to create the column which contain text values instead of the numeric sum/count that it will automatically give?
In the example below the first name will appear as a value (in the first table) instead of their name as in the second.
Data table:
+----+------------+------------+---------------+-------+-------+
| id | first_name | last_name | currency | Sales | Stock |
+----+------------+------------+---------------+-------+-------+
| 1 | Giovanna | Christon | Peso | 10 | 12 |
| 2 | Roderich | MacMorland | Peso | 8 | 10 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 4 | 6 |
| 1 | Giovanna | Christon | Peso | 11 | 13 |
| 2 | Roderich | MacMorland | Peso | 9 | 11 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 5 | 7 |
| 1 | Giovanna | Christon | Peso | 15 | 17 |
| 2 | Roderich | MacMorland | Peso | 10 | 12 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 6 | 8 |
| 1 | Giovanna | Christon | Peso | 17 | 19 |
| 2 | Roderich | MacMorland | Peso | 11 | 13 |
| 3 | Bond | Arkcoll | Yuan Renminbi | 7 | 9 |
+----+------------+------------+---------------+-------+-------+
No DAX needed. You should put the first_name field on Rows and not on Values. Select Tabular View for the Report Layout. Like this:
After some search I found 4 ways.
measure 1 (will return blank if values differ):
=IF(COUNTROWS(VALUES(Table1[first_name])) > 1, BLANK(), VALUES(Table1[first_name]))
measure 2 (will return blank if values differ):
=CALCULATE(
VALUES(Table1[first_name]),
FILTER(Table1,
COUNTROWS(VALUES(Table1[first_name]))=1))
measure 3 (will show every single text value), thanks # Rory:
=CONCATENATEX(Table1,[first_name]," ")
For very large dataset this concatenate seems to work better:
=CALCULATE(CONCATENATEX(VALUES(Table1[first_name]),Table1[first_name]," "))
Results:
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 data in Excel:
+-----------------------------+--------------------+----------+
| Name | Category | Number |
+-----------------------------+--------------------+----------+
| Alex | Portret | 3 |
| Alex | Other | 2 |
| Serge | Animals | 1 |
| Serge | Portret | 4 |
+-----------------------------+--------------------+----------+
And I want to transform it to:
+-----------+-----------+-------+---------+
| Name | Portret | Other | Animals |
+-----------+-----------+-------+---------+
| Alex | 3 | 2 | 0 |
| Serge | 4 | 0 | 1 |
+-----------+-----------+-------+---------+
How can I do it in MS Excel ?
You can use a pivot table for that
Take a look at http://office.microsoft.com/en-gb/excel-help/pivottable-reports-101-HA001034632.aspx