I have excel file with unicode characters (like Korean and Japan language), when i load it from excel file to r data frame it's converting to some codes. For example
Excel Source Column
values=KR|512207456|투비씨엔씨(주)
After load the excel file to
DF = KR|512207456|<U+D22C><U+BE44><U+C528><U+C5D4><U+C528>(<U+C8FC>)
I did lot of google to find the solution, unfortunately not able to find any solution. Any help would be highly appreciated.
Related
I have 2 excel files which have macros in it. The file extension ends with .xlsb and .xlsm. I want to read these files into R and do exactly what excel is doing with these files in terms of data inputs in R. What is the way to go about it?
For example: if the excel file calculates house prices in sheet 2 based on data input in sheet 1, how can the same results for house price calculation be obtained in R?
You might take a look at the R package RDCOMClient:
https://github.com/omegahat/RDCOMClient
Here is a nice example shown:
https://www.r-bloggers.com/2021/07/rdcomclient-read-and-write-excel-and-call-vba-macro-in-r/
I was instructed by the book Analyzing Financial Data and Implementing Financial Models Using R (Clifford S. Ang 2015, chapter 8) to download the USA real GDP data from IMF website https://www.imf.org/en/home. The downloaded file is a .xls, and I converted it to .csv under the name "USRGDP IMF WEO.csv" as instructed.
Then, when I ran the codes on R, the numeric data in the .csv file reversed itself, with semicolons appeared. Illustration is as below:
The original file's number format (when opened by Excel):
The code:
library(quantmod)
us.rgdp <- read.csv("USRGDP IMF WEO.csv", header = FALSE)
The output:
What can be done to fix the data? Thank you, from a beginner to R.
I usually have much more consistent and speedier results using data.table::fread() function. It works for zipped files too.
I have a file in Excel which has a column with Chinese simplified characters. When I open it in R from the corresponding CSV file I only get ?'s.
I'm afraid the problem is when exporting from Excel to CSV because when I open the CSV file on a text editor I also get ?'s.
How can I get around this?
The best way to secure your Chinese/Unicode characters is to read file from .xlsx:
library(readxl)
read_xlsx("yourfilepath.xlsx", col_types = "text")
If your file is too big to read from .xlsx, then the best way is to open Excel and split manually into multiple files.
(My experience with a laptop with 8GB RAM is to split files into 250,000 rows x 106 columns.)
If you need to read from .csv, your all windows settings/localization needs to be the same as your file, but even that does not guarantee the integrity of all your Unicode characters (eg. emojis).
(If you also need .csv for something else, then you can use the R function write.csv after you read data from .xlsx into R.)
I have a .RData file. I want to do some operations on the dataframe that this file contains. Can I load this file on my R program and convert it into a dataframe? The only option I know currently is to convert the ..RData file to a csv and convert that csv into a data frame again. I am looking for a neater solution. I got this file from a friend of mine and I cannot produce the dataframe from scratch.
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.