Update data_manipulation/join_multiple_datasets.r

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Author: Prathameshk2024

data_manipulation/join_multiple_datasets.r

@@ -1,5 +1,38 @@
 # join_multiple_datasets.r
+#
+# Algorithm Description:
+# This script provides a function to join multiple datasets (data frames or CSV file paths)
+# by their common columns using inner joins. The function reads input datasets, removes
+# empty or invalid ones, and then sequentially merges them on their shared columns.
+# The merging is performed using dplyr's inner_join, and missing values are replaced with
+# empty strings. The algorithm iteratively joins datasets, so its complexity is O(n * m),
+# where n is the number of datasets and m is the average number of rows in each dataset.
+#
+# Example usage:
+#   result <- join_multiple_datasets(list("data1.csv", "data2.csv", df3))
+#   head(result)
+#
 
+#' Join Multiple Datasets by Common Columns
+#'
+#' This function takes a list of data frames or CSV file paths and joins them sequentially
+#' on their common columns using inner joins. It reads CSV files if paths are provided,
+#' removes empty or invalid datasets, and merges the remaining datasets. Missing values
+#' in the result are replaced with empty strings.
+#'
+#' @param inputs A list of data frames and/or character strings representing CSV file paths.
+#' @return A data frame resulting from the inner join of all valid input datasets on their common columns.
+#' @examples
+#' # Example 1: Joining three data frames
+#' df1 <- data.frame(id = 1:3, val1 = c("A", "B", "C"))
+#' df2 <- data.frame(id = 2:3, val2 = c("X", "Y"))
+#' df3 <- data.frame(id = 3, val3 = "Z")
+#' result <- join_multiple_datasets(list(df1, df2, df3))
+#' print(result)
+#'
+#' # Example 2: Joining CSV files and a data frame
+#' result <- join_multiple_datasets(list("file1.csv", "file2.csv", df3))
+#' head(result)
 library(dplyr)
 library(purrr)