I have a database where all of the input from the user (through a userform) gets stored. In the database, each column is a different category for the type of data (ex. date, shift, quantity, etc) and the data from the userform input gets put into its corresponding category. For some of the data, all the data is the same except for the quantity. I was wondering how I could combine these rows into one and add the quantities to each other for the whole database (ex. combining the first and third data entries). I have tried playing around with a couple different loops but can't seem to figure anything out.
Period Date Line Shift Type Quantity
4 x 2 4/3/18 A 3 14 18
4 x 2 4/3/18 A 3 13 12
4 x 2 4/3/18 A 3 14 15
Thank you!
If you're looking to modify the underlying database, you might be able to query the data into the format you want by including all the other columns in a GROUP BY statement, save the result to another table, then replace the original table with the properly formatted one.
If you have the data in Excel and you just want to view it with the duplicate rows summed, a Pivot Table would be a good choice. You can select all the other columns as rows for the Pivot Table and sum of Quantity as the values.
Related
I am trying to achieve the following:
Attached is what my data looks like.
I want to create 2 new variables which counts the number of times 'Target' (variable 1) and 'Competitor' appears (variable 2), within the last 6 months of a given date_of_prescription. This would be done for every unique D_PRESCRIBER_ID.
So for example:
For ID: 1003000902 prescribing on 2020-03-18 date, the COMPETITOR drug. When you look at the rows before that, you can see that within 6 months prior to the 2020-03-18 date, there are 2 Target drugs prescribed and 0 competitor drugs prescribed. So my variable values will be: 2 (variable 1) and 0 (variable 2)
My data is much larger than what the screenshot looks like. It has more variables and 1000's of unique D_PRESCRIBER_IDs. Each row is not a unique ID, there are duplicates in the data for various date_of_prescription timestamps. These variables need to be created in my select statements in order to keep the rest of the data the same.
Any help here would be awesome. Thanks!
I have table which looks like this:
ID
NameOfProduct
Quantity
Price1 in USD
Price 2 in USD
1
Energy
5
3,5
2,7
2
Gas
10
3
21,2
Then I created form based on this table, which is a Splitform. I want to create a button which would allow me to create a correction of chosen row.
It should create another row with negative values of the corrected row (only the columns which are numeric), because I don't want to erase the row, I need the evidence for later how the original row looked like and then it would allow me to edit values of selected row and add it into the table as another row
I have no idea how to even start with this - If I can do this by only using macros, or SQL or do I need to use VBA?
Please help!
New user, so apologies in advance for bad formatting.
Essentially what I'm trying to do is be able to populate the staff_hours column where it equals NULL with the one value that IS NOT NULL. As you can see from the screenshot, there will only be one person who staffs an open cl_hole_staffing_no and as a result will have a start_dt (with time) and end_dt (with time) along with staff_hours. 16 people were offered a shift, and the person in row 15 accepted it is what is going on here.
The ideal output would be the staff_hours column is populated with the amount of time of the one person who ended up taking the open job, so 24.00 in this example. How can I write a formula to do this? I was thinking something like an array function in Excel, but am not sure how to do that in SQL.
Your explanation is a bit confusing about what you are really trying to achieve. However I think that what you really want is just to populate the staff_hours column, which can be achieved with the following:
UPDATE
your_table_name
SET
staff_hours = 24
WHERE
staff_hours is NULL;
EDIT
I get it now. You want to operate with the two dates and extract the amount of hours between them. Since you are in sql-server you can actually define a Computed Column in which you can use the values from other columns to compute the value you want.
You will need to create your table again. (The example below contains only the necessary attributes for it to work)
CREATE TABLE your_table_name
( id INT IDENTITY (1,1) NOT NULL
, staff_start_dt DATETIME
, staff_end_dt DATETIME
, staff_hours AS DATEDIFF(hh, staff_start_dt , staff_end_dt)
);
Now every time you insert a record on the table with both staff_start_dt and staff_end_dt, the column staff_hours will automatically compute the number of hours between the two dates.
[pre]
Code (vb):
A B C
1 10 X X
2 11 A Y
3 12 Y Z
4 13 B
5 14 B
6 15 Z
[/pre]
Assuming that the rows in Col A is Named "datarange"
And your criteria is in C1:C3
The following formula will return an array {10,12,15}
=SMALL(COUNTIF(C1:C3,B1:B6)*datarange, ROW(INDEX(A:A,SUMPRODUCT(--(COUNTIF(C1:C3,B1:B6)=0))+1):INDEX(A:A,ROWS(datarange))))
COUNTIF(C1:C3,B1:B6)*datarange returns {10;0;12;0;0;15}
The segment ROW(INDEX(....):INDEX(...)) returns {4;5;6}, indicating the number of non-zero values.
The SMALL() function then returns the 4th smallest, 5th smallest and 6th smallest values.
One disadvantage with this approach is that you get a sorted sub-list. Perhaps that would work for you.
I have an originations data set with loan ids. I then have a corresponding dataset with performance data for each of these loans ids, which can be anywhere from 10-40 rows in the performance data set.
The start date of each of the performance loans is not the same either, although some do overlap. What I want to do is take every loan id group in the performance data set, and then create a row of a certain column value across all occurrences in the data set. It doesn't matter if they start on different dates, I just want to align the values as this is the first value for loan id x and y.
For example:
ID Date Val
3 201601 100
3 201602 102
3 201603 103
--> Result:
ID Val1 Val2 Val3
3 100 102 103
I'm having two issues. One is the differing size of performance data for each id. I can't construct a matrix with differing lengths of rows. I'm assuming I'll need to append 0's to the end of each row to meet a predefined width.
My second issue is that I'm not sure how to read through a the performance data set to group loans, extract the value column, construct the column into a row for that id, and then insert into a matrix. I know how I would do this in Python but I need to use SAS. I can construct tables in SAS, but I'm not sure how to append rows, only columns.
If someone could provide some guidance on this it'd be a great help.
Anyone who runs into a similar issue it ended up being only a few lines of code.
proc transpose data = new_data
out = new_data1;
var trans_state;
by id;
run;
The output will be
I'm trying to create a query that will insert new records to a table or update already existing records, but I'm getting stuck on the filtering and grouping for the criteria I want.
I have two tables: tbl_PartInfo, and dbo_CUST_BOOK_LINE.
I'm want to select from dbo_CUST_BOOK_LINE based upon the combination of CUST_ORDER_ID, CUST_ORDER_LINE_NO, and REVISION_ID. Each customer order can have multiple lines, and each line can have multiple revision. I'm trying to select the unique combinations of each order and it's connected lines, but take the connected information for the row with the highest value in the revision column.
I want to insert/update from dbo_CUST_BOOK_LINE the following columns:
CUST_ORDER_ID
PART_ID
USER_ORDER_QTY
UNIT_PRICE
I want to insert/update them into tbl_PartInfo as the following columns respectively:
JobID
DrawingNumber
Quantity
UnitPrice
So if I have the following rows in dbo_CUST_BOOK_LINE (PART_ID omitted for example)
CUST_ORDER_ID CUST_ORDER_LINE_NO REVISION_ID USER_ORDER_QTY UNIT_PRICE
SCabc 1 1 0 100
SCabc 1 2 4 150
SCabc 1 3 4 125
SCabc 2 3 2 200
SCxyz 1 1 0 0
SCxyz 1 2 3 50
It would return
CUST_ORDER_ID CUST_ORDER_LINE_NO (REVISION_ID) USER_ORDER_QTY UNIT_PRICE
SCabc 1 3 4 125
SCabc 2 3 2 200
SCxyz 1 2 3 50
but with PART_ID included and without REVISION_ID
So far, my code is just for the inset portion as I was trying to get the correct records selected, but I keep getting duplicates of CUST_ORDER_ID and CUST_ORDER_LINE_NO.
INSERT INTO tbl_PartInfo ( JobID, DrawingNumber, Quantity, UnitPrice, ProductFamily, ProductCategory )
SELECT dbo_CUST_BOOK_LINE.CUST_ORDER_ID, dbo_CUST_BOOK_LINE.PART_ID, dbo_CUST_BOOK_LINE.USER_ORDER_QTY, dbo_CUST_BOOK_LINE.UNIT_PRICE, dbo_CUST_BOOK_LINE.CUST_ORDER_LINE_NO, Max(dbo_CUST_BOOK_LINE.REVISION_ID) AS MaxOfREVISION_ID
FROM dbo_CUST_BOOK_LINE, tbl_PartInfo
GROUP BY dbo_CUST_BOOK_LINE.CUST_ORDER_ID, dbo_CUST_BOOK_LINE.PART_ID, dbo_CUST_BOOK_LINE.USER_ORDER_QTY, dbo_CUST_BOOK_LINE.UNIT_PRICE, dbo_CUST_BOOK_LINE.CUST_ORDER_LINE_NO;
This has been far more complicated that anything I've done so far, so any help would be greatly appreciated. Sorry about the long column names, I didn't get to choose them.
I did some research and think I found a way to make it work, but I'm still testing it. Right now I'm using three queries, but it should be easily simplified into two when complete.
The first is an append query that takes the two columns I want to get distinct combo's from and selects them and using "group by," while also selecting max of the revision column. It appends them to another table that I'm using called tbl_TempDrop. This table is only being used right now to reduce the number of results before the next part.
The second is an update query that updates tbl_TempDrop to include all the other columns I wanted by setting the criteria equal to the three selected columns from the first query. This took an EXTREMELY long time to complete when I had 700,000 records to work with, hence the use of the tbl_TempDrop.
The third query is a basic append query that appends the rows of tbl_TempDrop to the end destination, tbl_PartInfo.
All that's left is to run all three in a row.
I didn't want to include the full details of any tables or queries yet until I ensure that it works as desired, and because some of the names are vague since I will be using this method for multiple query searches.
This website helped me a little to make sure I had the basic idea down. http://www.techonthenet.com/access/queries/max_query2_2007.php
Let me know if you see any flaws with the ideology!