Transpose Multiple Columns To Rows Based On Criteria

Sep 26, 2008

I am stumped on how to transpose multiple columns to rows based on specific criteria. Here is an example of the data I am working with:

Acct #Rev CodeUnitsCharges10094537034503$0.0010094537034501$605.0010094537037101$0.0010096359034503$0.0010096359034501$355.0010096359037101$0.00

I want it to look like the following:

Acct #Rev CodeUnitsChargesRev CodeUnitsChargesRev CodeUnitsCharges10094537034503$0.004501$605.007101$0.0010096359034503$0.004501$355.007101$0.00

I should note that there is oftentimes more than three rows for the same account number, sometimes it could be as many as 20 rows for the same account.

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Transpose Multiple Columns Into Rows Based On Repeats

Jul 9, 2009

I need to transpose a three column worksheet with thousands of rows containing repeats based on the value in Column A (between 2 and 11 consecutive repeats), into rows with no repeats, and the values from the repeated rows into new columns. Column A has a unique numeric value corresponding to the repeated rows. Column B has 1 of 11 values and Column C has 1 of 4 values.

The worksheet looks like this:

1 abc x
1 def y
2 ghi x
2 abc n
2 lmn x
2 def z
2 jkl y

I need to make it look like this:

1 abc x def y
2 ghi x abc n lmn x def z jkl y

I tried using the following code, but it dropped all the values from column C:

Sub kTest()
Dim a, i As Long, w(), k(), n As Long
Dim dic As Object, ws As Worksheet, s As String

Set dic = CreateObject("scripting.dictionary")
dic.comparemode = vbTextCompare
With Sheets("sheet1")
a = . Range("a2:b" & .Range("a" & Rows.Count).End(xlUp).Row)
End With

I am attaching a workbook " Book 1" that has the results from the above macro in the first worksheet "Final Report", the origninal data "orig data", and the format I need to get the data into "needed data".

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Jul 10, 2008

I have two columns of data as follows:

10:57:42 273
10:57:42 263
10:57:42 253
10:57:42 241
10:57:37 273
10:57:37 243
10:57:37 249
10:57:37 261
10:57:37 253
11:04:47 241
11:04:47 253
11:04:47 263
10:54:31 254
10:54:31 240
10:54:31 265.......

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I have a table with column headings of product ID Numbers (eg.1111) and row headings of Store number (Eg.1) with data showing the time each product was last sold at that store, I need something to consolidate for each store which Product ID's were sold prior to 5pm and what time they were sold.


Store 1 1111 16:40
2222 13:00
Store 2 1111 15:05
3333 16:50

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Nov 20, 2013

I have following information. I need to transpose the columns into rows












The expected result should be like
10001 1000 1001 1002
10002 1001 1003
10003 1001 1003 1004

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study ID
visit 1
visit 2
visit 3
visit 4
visit 5


I'd like to extract the data into a new table on another worksheet that looks like this:

study id
visit #
Test Name


This is just a quick example, but basically it would continue through all possible visit dates for the first study ID, then move to the next row of data (i.e. the next study ID) and extract the data from the row and transpose it in the appropriate columns moving down...

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I want to convert it to a CSV file where by it can be import to Lotus Notes (output.xls):

1,1,Group,GroupName_A,"Name_A,Name_B,Name_C","CN=John Sam/OU=FIN/OU=staff/O=IBM,CN=Mary Flow/OU=FIN/OU=staff/O=IBM",CN=John Sam/OU=FIN/OU=staff/O=IBM
1,1,Group,GroupName_B,"Name_D,Name_E,Name_F,Name_G,Name_H,Name_I","CN=John Sam/OU=FIN/OU=staff/O=IBM,CN=Mary Flow/OU=FIN/OU=staff/O=IBM",CN=John Sam/OU=FIN/OU=staff/O=IBM

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3. In Column D, I want to specify 3 criterias namely A, B and C
4. In Column L, I want to specify 5 criterias namely London, Frankfurt, New York, Sydney and Tokyo
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The attached example file may be a better alternative to view this problem.

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I have a dataset consisting of concentrations of parameters (alpha and beta) at different locations over multiple years. I've included an example dataset here.

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Example 1: Calculate the average and standard deviation of alpha values from years 2009 to 2012 at locations A and C.

Answer should be: Average of {0.84, 0.47, 0.27, 0.14, 0.36, 0.65, 0.66, 0.85} is 0.53. Standard deviation of {0.84, 0.47, 0.27, 0.14, 0.36, 0.65, 0.66, 0.85} is 0.26.

The real dataset is large, including 7 different parameters and more than 30 locations. I need to perform these calculations for many parameters, so am looking for a formula (or array formula) that will do this in as little cells as possible. Can this be done by formula or will I need a macro?







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I've tried SUMIFS but it doesn't work because I'm looking down columns and across rows, I'm assuming.

I've attached a summary of what I'm trying to achieve. I want to sum all costs with an R,P,I,G, etc. in column C for December '13 (E3) in the top table.

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Sumproduct P&L.xlsx‎

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I posted this on Mr Excel, but did not get an answer. I hope someone here can help.

I have a rather large financial worksheet that I am trying to extract some specific data from.

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Our Fiscal Year is April 1 - March 31, but this sheet ruins from March - March so that we can carry over anything from the previous year. So the forecast column for March is column "P", April is column "V" and so on, adding 6 columns for each month.......

With me so far?

What I am trying to do is get the total forecasted expenses amount for a specific project for the remainder of the fiscal year.

In other words I need to look for a specific Project Code in Row G, look for "Exp" in Row J, Then get only the numbers that are in the Forecasted Column for months in the future and add them all up.

Just in case that is not totaly clear----

criteria to meet

Column G = "Project Code"
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So, another question with regards to this sales sheet that i am setting up. I want to be able to take the information below and for each of the people listed (i.e. by their initials) i would like to...

1.) Take their associated % (Columns C, E, G)
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In my report I then I have same setup with headers in column A and row 5. The difference is that the headers are not in the same order as the dump. What formula could I use that would look for the two headers in my report sheet and then match it with the value in the data dump that uses the same two headers?

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Please see the attached, it is more clear I hope. The two yellow rows would be deleted.
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The objective is to:

To delete rows that has same code (columnd D), same basis (coloumn E), same Effective (coloumn H), value of TT (Column J) is either TI or TO and has offsetting Amounts (L) ie the sume becomes zero. Example pair of row 7 and row 8 as well as pair of row 12 and row 13 should be deleted.

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Sheet 2
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