I have 8 sheets of data (from Dec 2014 to July 2015, separated month wise). Each sheet contains monthly data (e.g. Dec 2014 sheet contains data of dec 2014 in three columns namely AC #, Name, Amount).
Dec 2014 Contains Data as Mentioned Below:
A/C # Name Dec 2014
A12 ABC 100
A13 CBA 200
A14 BCA 300
Whereas January 2015 contains data as below
A/C # Name Dec 2014
A12 ABC 5
A13 CBA 300
*A15 IJK 900*
All sheets contains mostly same data but some additional data based on customers added in that month or amount. E.g. January 2015 may contain an additional client a/c #, name and amount of January 2015 as marked above.
I want a consolidated sheet of data where all data is arranged as below:
A/C # Name Dec 2014 Jan 2015 Feb 2015 Mar 2015 Apr 2015
A12 ABC 100 5
A13 CBA 200 300
A14 BCA 300 0
A15 IJK 0 900
I would suggest connecting to the worksheets using ADODB. Then you can issue an SQL statement that will merge the records together.
This could be run from a VBScript, or from Excel.
For a similar strategy, see here.
Related
I have the following script:
DROP TABLE IF EXISTS [dbo].[test]
CREATE TABLE [dbo].[test]
(
[Name] [varchar](50) NULL,
[Amount] [int] NULL
)
GO
INSERT INTO [dbo].[test]
(
[Name]
,[Amount]
)
VALUES
('Abc - 20 april to 7 june 2020',25)
,('Abc - 20 april to 7 june 2020',33)
,('Abc - 20 april to 29 june 2020',15)
,('Abc - 20 april to 29 june 2020',55)
,('Abc - 20 april to 10 may 2020',20)
,('Abc - 20 april to 10 may 2020',75)
,('Abc - 20 april to 10 may 2020',89)
GO
SELECT *
FROM [dbo].[test]
The resulting table gives the following results:
Name | Amount
-------------------------------|-------
Abc - 20 april to 7 june 2020 | 25
Abc - 20 april to 7 june 2020 | 33
Abc - 20 april to 29 june 2020 | 15
Abc - 20 april to 29 june 2020 | 55
Abc - 20 april to 10 may 2020 | 20
Abc - 20 april to 10 may 2020 | 75
Abc - 20 april to 10 may 2020 | 89
I would like to be able to determine the most recent end date in the text field and eliminate the repetitive data by grouping it showing the record with the latest end date and aggregating the amount. The result should be a single record with the following data:
Name | Amount
-------------------------------|-------
Abc - 20 april to 29 june 2020 | 312
I've played around with some group bys and text manipulation functions and this is as far as I got using the following code:
select (case when [Name] like '%-%'
then trim(left([Name], charindex('-', reverse([Name])) - 1))
else [Name]
end) as [Name]
,sum(Amount) as Amount
from [dbo].[test]
group by
(case when [Name] like '%-%'
then trim(left([Name], charindex('-', reverse([Name])) - 1))
else [Name]
end)
The above code doesn't really do so much as to just aggregate unique records only. I was looking for something more intelligent that will find and recognize that all of my records really mean the same thing and that the latest end date in the Name field is 29 june 2020 and will only display that single record with the total aggregated Amount.
Any help would be much appreciated.
I have the following report:
Id Product Revenue Month
1 A 302 jan
1 A 342 feb
1 A 133 mar
For this report, I need to find the difference in revenues for months, i.e difference in revenue from Jan to Feb and feb to march.
I want to add another column like this:
Id Product Revenue Month Profit
1 A 302 jan
1 A 342 feb 40
1 A 142 mar -200
I can write a case statement for it and create a Calculated field but I don't know how to refer the rows to do my subtraction. Can someone help me with this.
What happens when you try running-difference([Revenue])?
I have data that lists a Term Year ("A", "B", "C", ...) and some data.
A term year is a complete calendar year from that includes all 12 months.
I am trying to determine the most recent, complete, term year with a formula. (Not a UDF if possible).
Example data:
Term Month Year Misc. Data
A January 2017 32
A February 2017 35
A March 2017 448
A April 2017 747
A May 2017 656
A June 2017 370
A June 2017 1892
A July 2017 373
A August 2017 387
A August 2017 3
A August 2017 32992
A September 2017 815
A October 2017 479
A November 2017 753
A December 2017 413
B August 2018 544
B September 2018 541
B October 2018 435
B November 2018 17
B December 2018 270
B January 2018 309
B February 2018 488
(Edit: Added data, there will be multiple entries per month.)
So, since Term A is the most recent from today (being 2019) that has all months , I am just looking to have the formula return A.
As for my current attempts, I can't think of how to work an Index/Match formula. I am "afraid" I'll need a UDF, or at least some type of helper column. So far I've gotten just =Index(A2:A20 but can't think of how to build it from there. I have a hunch Aggregate() may be needed but I can't figure how.
IF you only have a single entry per month, and IF the years are sorted ascending as you show, then try:
=LOOKUP(2,1/(COUNTIFS(Table1[Year],Table1[Year])=12),Table1[[#All],[Term]])
DEC 4 DEC 5 SPORT LIFE $31.49
DEC 25 DEC 28 BESTBUY EGIFTCARD 877-850-1977 $35.00
I want to have columns 2 as:
DEC 4
DEC 25
Column 3 as:
DEC 5
DEC 28
Edit: I have uploaded the image. I want to somehow achieve column B and C.
Notice that sometimes date is DEC 4 or could be DEC 14.
(Ignore the period. I did that to quickly not have auto format)
And yes, date is always first 2 groups.
Put this in B1 and copy over one column and down the length of the data:
=TRIM(MID(SUBSTITUTE($A1," ",REPT(" ",99)),(COLUMN(A:A)-1)*198+1,198))
I have a CSV file that I receive once a week that is in the following format:
"Item","Supplier Item","Description","1","2","3","4","5","6","7","8" ...Linefeed
"","","","Past Due","Day 13-OCT-2014","Buffer 14-OCT-2014","Week 20-OCT-2014","Week 27-OCT-2014", ...LineFeed
"Part1","P1","Big Part","0","0","0","100","50", ...LineFeed
"Part4","P4","Red Part","0","0","0","35","40", ...LineFeed
"Part92","P92","White Part","0","0","0","10","20", ...LineFeed
...
An explanation of the data - Row 2 is dynamic data signifying the date parts are due. Row 3 begins the part numbers with description and number of parts due on a particular date. So looking at the above data: row 3 column7 shows that PartNo1 has 100 parts due on the Week of OCT 20 2014 and 50 due on the Week of OCT 27, 2014.
How can I parse this csv to show the data like this:
Item, Supplier Item, Description, Past Due, Due Date Amount Due
Part1 P1 Big Part 0 20 OCT 2014 100
Part1 P1 Big Part 0 27 OCT 2014 50
Part4 P4 Red Part 0 20 OCT 2014 35
Part4 P4 Red Part 0 27 OCT 2014 40
....
Is there a way to manipulate the format in Excel to rearrange the data like I need or what is the best method to resolve this?