Hi samarvir,
Your attachment didn't make it through the list filter. From your
example, you seem to want something like this:
# assume you are using the readxl package to read the data in
mydf-read_excel(mydata.xlsx,col_types=rep(character,11))
mydatavector-as.vector(as.matrix(mydf))
This is probably not what you need, as each spreadsheet file will be
turned into a long vector of character (string) values. What you
probably should think of is reading in the spreadsheets:
mydf1-read_excel(mydata1.xlsx)
mydf2...
and merging the resulting data frames. With that many data files, you
will probably have to do this in stages.
Jim
On Thu, Apr 23, 2015 at 9:36 PM, samarvir singh samarvir1...@gmail.com wrote:
Hello,
I am working with some 2700 files in .xlsx format
Like the one attached below
I want to transform all tabular data to a single row as shown below in
example or in attachment
so that all data can be used as a variable.
and replicate all to make a single csv file which has all the data
EXAMPLE
company SALE-9 SALE-8 SALE-7 SALE-6 SALE-5 SALE-4 SALE-3 SALE-2 SALE-1
SALE op-9 MARUTI SUZUKI INDIA LIMITED 11046.3 12197.9 14806.4 18066.8
20729.4 29317.7 36618.4 35587.1 43587.9 43700.6 1570.3 Nextcompany name …
Thanks for your help. help me however you can.
Really appreciate you taking the time.
please see the attachment. thank you.
I would love to share the findings, Whatever I can find.
P.S - every file is of same format
thank you.
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