I have multiple excel file each containing different number of sheet. I want to merge all the sheet of all files except the 1st sheet of each file into a new data frame.
If you want to use rbind the columns must have the same name. Ignoring the 1st sheet should be done when calling the frame [-1], a little bit more information would help.
Related
I have an excel document with multiple sheets. I was curious if there was a way to remove the first row of every sheet as there is a header file on the sheet that isn't necessary but this automatically appears on each sheet. I would rather not open the file and remove the first row as this can cause possible data errors.
"Many functions that read-in data will have a "skip" argument (under some name). E.g., for readxl::read_excel() you can use skip = 1 to skip one line. If you check out the documentation for the function you are using it should help clarify things."
- Andrew
I have an excel file with the first column completely blank. When i read it into R using read.xls the first column does not appear. However, when I export the data set, that column reappears but with numbers in it corresponding to the row.
My issue is that I do need my expoted xls sheet to retain that first blank column (including no header/variable name).
How do I retain that column or make sure the exported spreadsheet has it?
I want to delete the second row in every sheet in an excel file. Actually, i have done this.
for (i in 1:5)
{bulan=read_excel(file, sheet=sheet[i],skip = 2)}
but it deletes the first 2 rows. How to only delete the second one? Thanx
It depends whether you would really like to delete a row in your excel sheet or read an excel sheet without a certain row.
Because what your are doing here is actually not deleting rows, but skipping the first two rows when reading the sheets. The function read_excel returns a dataframe.
If you want the dataframe without the second row, what you could do is:
for(i in 1:5){bulan <- read_excel(file, sheet=sheet[i])
bulan <- bulan[-2,]
}
However, this would not make much sense as is, since bulan gets overwritten in every step of the for loop.
If you would like to delete rows in your excel file using R, you could read the file, delete the corresponding row of the dataframe in R, and read the dataframe to an excel file again. Apparently there is am R package called "xlsx" for writing excel files.
starting situation as follows:
I've got a csv files with roughly 3000 rows, but only 1 column. In each of the rows there are several values included.
Now I want to assign only one value per column.
How do I manage to do that?
convert the file into txt format and then open the data using MS excel. Don't directly open the file. Open it using Open option in file menu. When you do this a text wizard will appear. You can then split your data by using delimited such as commas, spaces and form multiple columns. Once you are done with it, you save the file in csv format
I am working in R, trying to combine the data from a Sheet in 250 different Excel Files into one data frame. I have put all these files in a list called "Data.Files" and they all contain a sheet named "Selected".
However, not every "Selected" sheet has the same amount of columns and I need to figure out the column count for each so we can do an RBind. I already have the files in a list "Data.Files".
I tried to do df1=read_xlsx(data.files[1], ncol(sheet="Selections"))
But it will not work. Is there a way to do this so it prints out the column count for each file in the list? I am trying to figure out a way to get the Column Count of each Names sheet in the "Data.Files" list so it would print out something like this
Df1=93
Df2=94
etc for all the frames I've pulled from files. Any help is appreciated.
E: Essentially all I would need to do is to export the Global Environment summary as a csv.