I have a CSV when I try to read.csv()
that file, I get the warning warning message:
In read.table(file = file, header = header, sep = sep, quote = quote, :
incomplete final line found by readTableHeader on ...
And I cannot isolate the problem, despite scouring StackOverflow and R-help for solutions.
This is the Dropbox link for the data: https://www.dropbox.com/s/h0fp0hmnjaca9ff/PING%20CONCOURS%20DONNES.csv
The “incomplete final line” error message arises when there is a “missing” return in the last data row of your CSV file. You need to add an extra line-feed at the end of the file. There are two ways you can set about this: Open the file in a text editor and add an extra line. Then import the file to R.
In order to get a . csv file into R, you can use read. csv, and as the only argument, put the path to the file you want to read in within quotation marks.
As explained by Hendrik Pon,The message indicates that the last line of the file doesn't end with an End Of Line (EOL) character (linefeed (\n) or carriage return+linefeed (\r\n)).
The remedy is simple:
so here is your file without warning
df=read.table("C:\\Users\\Administrator\\Desktop\\tp.csv",header=F,sep=";") df V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 1 Date 20/12/2013 09:04 20/12/2013 09:08 20/12/2013 09:12 20/12/2013 09:16 20/12/2013 09:20 20/12/2013 09:24 20/12/2013 09:28 20/12/2013 09:32 20/12/2013 09:36 2 1 1,3631 1,3632 1,3634 1,3633 1,363 1,3632 1,3632 1,3632 1,3629 3 2 0,83407 0,83408 0,83415 0,83416 0,83404 0,83386 0,83407 0,83438 0,83472 4 3 142,35 142,38 142,41 142,4 142,41 142,42 142,39 142,42 142,4 5 4 1,2263 1,22635 1,22628 1,22618 1,22614 1,22609 1,22624 1,22643 1,2265
But i think you should not read in this way because you have to again reshape the dataframe,thanks.
I faced the same problem while creating a data matrix in notepad. So i came to the last row of data matrix and pressed enter. Now i have a "n" line data matrix and a new blank line with cursor at the starting of "n+1" line. Problem solved.
This is not a CSV file, each line is a column, you can parse it manually, e.g.:
file <- '~/Downloads/PING CONCOURS DONNES.csv'
lines <- readLines(file)
columns <- strsplit(lines, ';')
headers <- sapply(columns, '[[', 1)
data <- lapply(columns, '[', -1)
df <- do.call(cbind, data)
colnames(df) <- headers
print(head(df))
Note that you can ignore the warning, due that the last end-of-line is missing.
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