I need help reading Korean characters into R environment.
This one is my file.
Here is the error
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I have text that contains Unicode.
Export this text to CSV.
I don't want to see Unicode in CSV files created in R.
This is the Unicode in question.
<U+00A0>
This unicode will appear blank when exported to an xlsx file.
However, when exporting as csv, it comes out as Unicode. It looks like <U+00A0> in the csv file.
How can solve this problem. and I want to know it is possible.
I tried changing the encoding option of the write.table function.
I tried using the iconv function.
But it was not resolved.
I wish to open and read the following text file in Scilab (version 6.0.2).
The original file is an .xlsx that I have converted to both .txt and .csv through Excel to facilitate opening & working with it in Scilab.
Using both fscanfMat and csvRead, scilab only reads the first column as Nan. I understand why the first column is considered as Nan, but I do not see why the rest of the document isn't read. Columns 2 and 3 are in particular of interest to me.
For csvRead, I used :
M=csvRead(chemin+filename," ",",",[],[],[],[],7);
to skip the 7-row header.
Could it be something to do with the way in which the file has been formatted?
For anyone able to help, I will try to upload an example of a .txt file and also the original .xlsx file
Files available for download, here: Excel and Text files
If you convert your xlsx file into a xls one with Excel you can read it withthe readxls function.
Your separator is a tabulation character (ascii code 9). Use the following command:
M=csvRead("Probe1_350N_2S.txt",ascii(9),",",[],[],[],[],7);
I have tried my best to read a CSV file in r but failed. I have provided a sample of the file in the following Gdrive link.
Data
I found that it is a tab-delimited file by opening in a text editor. The file is read in Excel without issues. But when I try to read it in R using "readr" package or the base r packages, it fails. Not sure why. I have tried different encoding like UTF-8. UTF-16, UTF16LE. Could you please help me to write the correct script to read this file. Currently, I am converting this file to excel as a comma-delimited to read in R. But I am sure there must be something that I am doing wrong. Any help would be appreciated.
Thanks
Amal
PS: What I don't understand is how excel is reading the file without any parameters provided? Can we build the same logic in R to read any file?
This is a Windows-related encoding problem.
When I open your file in Notepad++ it tells me it is encoded as UCS-2 LE BOM. There is a trick to reading in files with unusual encodings into R. In your case this seems to do the trick:
read.delim(con <- file("temp.csv", encoding = "UCS-2LE"))
(adapted from R: can't read unicode text files even when specifying the encoding).
BTW "CSV" stands for "comma separated values". This file has tab-separated values, so you should give it either a .tsv or .txt suffix, not .csv, to avoid confusion.
In terms of your second question, could we build the same logic in R to guess encoding, delimiters and read in many types of file without us explicitly saying what the encoding and delimiter is - yes, this would certainly be possible. Whether it is desirable I'm not sure.
I notice that it is easy to load CSV files containing Chinese characters in R with read.csv("mydata.csv", encoding="UTF-8").
I have text files (.txt) which I want to read using readChar(). However, readChar() does not allow me to specify encoding.
What can I do?
I scraped a site that includes the names of many different cities from around the world using R's rvest package. Some of these names have German umlauts and characters from almost every other major language in them which are not showing properly in the .csv file I used to output the text. Is there a way to make Excel display these names properly? I'm using Excel 2011 on Mac. Here is some examples of what the names appear as in my csv file.
"MÔÈhldorf am Inn" instead of "Mühldorf am Inn"
"PÔ_rnu" instead of "Pärnu"
I did not use any kind of encoding when outputting the text as a cvs and don't have access to the original scraped object in R.
write.csv(data, "master_me_data.csv")
Any help would be appreciated.