combine datasets

# Load necessary libraries
library(dplyr)

# Assuming you have two datasets: df1 and df2

# Step 1: Check the structure of both datasets
str(df1)
str(df2)

# Step 2: Check the common columns between the two datasets
common_columns <- intersect(names(df1), names(df2))

# Step 3: Merge datasets based on common columns
merged_data <- merge(df1, df2, by = common_columns, all = TRUE)

# Step 4: Alternatively, if you want to merge based on specific columns
# merged_data <- merge(df1, df2, by.x = "column_name_df1", by.y = "column_name_df2", all = TRUE)

# Step 5: Check the structure of the merged dataset
str(merged_data)

# Step 6: Optionally, handle missing values if needed
# merged_data <- merged_data %>% na.omit()

# Step 7: Optionally, arrange the data based on specific columns
# merged_data <- merged_data %>% arrange(column_name)

# Step 8: Optionally, filter rows based on certain conditions
# merged_data <- merged_data %>% filter(column_name > value)

# Step 9: Save the merged dataset if necessary
# write.csv(merged_data, "merged_data.csv", row.names = FALSE)