Join Types Explained:

• Inner Join: Returns only rows where the join column matches in both datasets. This is the most restrictive and typically results in the smallest dataset.
• Left Join: Returns all rows from the left (first) dataset and matching rows from the right dataset. Non-matching rows from the right will have NULL values.
• Right Join: Returns all rows from the right dataset and matching rows from the left dataset. Non-matching rows from the left will have NULL values.
• Outer Join: Returns all rows from both datasets. Non-matching rows will have NULL values for the other dataset’s columns.

Tips for Successful Merging:

• Ensure the join column has the exact same name in all datasets you want to merge
• The join column should contain matching values across datasets (e.g., customer IDs, product codes)
• Start with 2 datasets to test, then add more if needed
• If you have duplicate column names (other than the join column), they’ll be automatically renamed with the dataset name