How to Get a .CSV File into R

How to get a .csv file into R?

You mention that you will call on each vertical column so that you can perform calculations. I assume that you just want to examine each single variable. This can be done through the following.

df <- read.csv("myRandomFile.csv", header=TRUE)

df$ID

df$GRADES

df$GPA

Might be helpful just to assign the data to a variable.

var3 <- df$GPA

Importing data from csv File to R

I was using a work PC, and the files were encrypted - which was the reason why importing data into R was not working. I bypassed it by copying data into a text document.
Thanks everyone!

How to import most recent csv file into RStudio

You can use which.max to get the index of the most current date and use that to retrieve the filename from the filenames vector

rawfile <- read.csv(file=filenames[which.max(betterdates), header=TRUE, sep=",")

How to import multiple .csv files from folder into R and select columns?

You may try this approach -

#column names
cols <- c('col1', 'col5', 'col6', ...)
#Or column numbers
#cols <- c(1, 5, 6, ...)

library(dplyr)
library(purrr)

all_files <- list.files('/csv/folder', pattern = '\\.csv$', full.names = TRUE)
result <- map_df(all_files, 
            ~.x %>% readr::read_csv() %>% select(cols), .id = 'filenum')

result

In result, I have also created an additional column called filenum which will indicate the file number from where the row is originating.

Importing csv file into R - numeric values read as characters

Whatever algebra you are doing in Excel to create the new column could probably be done more effectively in R.

Please try the following: Read the raw file (before any excel manipulation) into R using read.csv(... stringsAsFactors=FALSE). [If that does not work, please take a look at ?read.table (which read.csv wraps), however there may be some other underlying issue].

For example:

   delim = ","  # or is it "\t" ?
   dec = "."    # or is it "," ?
   myDataFrame <- read.csv("path/to/file.csv", header=TRUE, sep=delim, dec=dec, stringsAsFactors=FALSE)

Then, let's say your numeric columns is column 4

   myDataFrame[, 4]  <- as.numeric(myDataFrame[, 4])  # you can also refer to the column by "itsName"

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Lastly, if you need any help with accomplishing in R the same tasks that you've done in Excel, there are plenty of folks here who would be happy to help you out

How to add a new line in multiple existing csv files using R?

If you really want to use R for this task, you could use

my_path <- "."

my_csv_list <- list.files(path = my_path, pattern = ".csv$")

blank <- ""

for (file in my_csv_list) {
  write.table(blank, file = file, sep = ";",
              append = TRUE, quote = FALSE,
              col.names = FALSE, row.names = FALSE)
}

or instead of a for-loop

sapply(my_csv_list, 
       function(file) 
         write.table(blank, file = file, sep = ";",
                     append = TRUE, quote = FALSE,
                     col.names = FALSE, row.names = FALSE))

Just set my_path to the path containing your .csv-files. file.path could be useful for this.

How do I import a CSV file in R?

You would use the read.csv function; for example:

dat = read.csv("spam.csv", header = TRUE)

You can also reference this tutorial for more details.

Note: make sure the .csv file to read is in your working directory (using getwd()) or specify the right path to file. If you want, you can set the current directory using setwd.

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