Complete the code to merge two data frames by the column 'id'.
merged_df <- merge(df1, df2, by = [1])The merge() function combines two data frames by matching values in the specified column. Here, we merge by the column named id.
Complete the code to perform a left join of df1 with df2 by 'id'.
merged_df <- merge(df1, df2, by = "id", all.x = [1])
Setting all.x = TRUE keeps all rows from df1 and adds matching rows from df2. This is a left join.
Fix the error in the code to merge df1 and df2 by columns 'id' and 'date'.
merged_df <- merge(df1, df2, by = [1])The by argument expects a character vector of column names. Use c("id", "date") to specify both columns.
Fill both blanks to merge df1 and df2 by 'id' and keep all rows from both data frames.
merged_df <- merge(df1, df2, by = [1], all.x = [2], all.y = TRUE)
To merge by 'id' and keep all rows from both data frames, set by = "id", all.x = TRUE, and all.y = TRUE.
Fill all three blanks to merge df1 and df2 by 'id', keep all rows from df1, and suffix overlapping columns with '_df1' and '_df2'.
merged_df <- merge(df1, df2, by = [1], all.x = [2], suffixes = c([3], "_df2"))
We merge by 'id', keep all rows from df1 with all.x = TRUE, and set suffixes to distinguish overlapping columns.