Import CSVs and create a table from these files in R -


this question has answer here:

i have quick question again. me in case? didn't find solution google/ stackoverflow..

1) have lot of csv files

example:

csv 1

x date       var1  var2  var3 ... 1 1/5/06      1     2     3      2 1/6/06      1     2     3      3 1/7/06      3     4     5      4 1/8/06      4     5     6  ...

csv2

x date       var1  var2  var3 ... 1 1/8/06      1     2     3      2 1/5/06      1     2     3      3 1/9/06      3     4     5      4 1/3/06      4     5     6  ...

and have around 200 csv files. in csv files, lot of duplications , more (i don't want delete duplications etc, can't do..)

i single data.frame or data.table. if imported csv files, got data tables csv files. have bad solution works rows (that means, split data frames rows , create new "allcsv" data table). no nice solution (i 1:n).

maybe have experience, , can single line:

i it:

allcsv (collect csv file in 1 file)

x date       var1  var2  var3 ... 1 1/5/06      1     2     3      2 1/6/06      1     2     3      3 1/7/06      3     4     5      4 1/8/06      4     5     6  1 1/8/06      1     2     3  #<–––– new csv     2 1/5/06      1     2     3      3 1/9/06      3     4     5      4 1/3/06      4     5     6  ...                         #<----- csv(..x)

i got answer roman lustrik (thanks link!). code coming here:

load_data <- function(path) {    files <- dir(path, pattern = '\\.csv', full.names = true)   tables <- lapply(files, read.csv)   do.call(rbind, tables) }  pollutantmean <- load_data("specdata")

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