In this article, we will be looking at the approach to merge multiple CSV files in the R programming language.
In this approach to merge multiple CSV files, the user needs to install and import three different packages namely- dplyr,plyr, and readr in the R programming language console to call the functions which are list.files(), lapply(), and bind_rows() from these packages and pass the required parameters to these functions to merge the given multiple CSV files to a single data frame in the R programming language.
Function Used
- list.files() function produces a character vector of the names of files or directories in the named directory.
Syntax:
list.files(path = ".", pattern = NULL, all.files = FALSE,full.names = FALSE, recursive = FALSE, ignore.case = FALSE, include.dirs = FALSE, no.. = FALSE)
- lapply() function returns a list of the same length as X, each element of which is the result of applying FUN to the corresponding element of X.
Syntax:
lapply(X, FUN, …)
- bind_rows() function is an efficient implementation of the common pattern of do.call(rbind, dfs) or do.call(cbind, dfs) for binding many data frames into one.
Syntax:
bind_rows(..., .id = NULL)
Folder in Use:
To actually merge multiple CSV/Excel files as one dataframe first the required packages are imported and then list of files are read and joined together.
Example:
library("dplyr")
library("plyr")
library("readr")
gfg_data <- list.files(path = "C:/Users/Geetansh Sahni/Documents/R/Data",
pattern = "*.csv", full.names = TRUE) %>%
lapply(read_csv) %>%
bind_rows
gfg_data
Output:
