Excel Tutorial: How To Merge Tables In Excel


Are you struggling with managing multiple tables of data in Excel? In this Excel tutorial, we will explore the importance of merging tables in Excel and provide a step-by-step guide on how to effectively merge tables to simplify your data management process.

With the ever-increasing amount of data that needs to be organized and analyzed, merging tables in Excel can be a valuable tool for creating a more comprehensive and cohesive dataset. Whether you are working with sales figures, inventory lists, or any other type of data, knowing how to merge tables in Excel can significantly streamline your workflow and improve the accuracy of your analyses.

Key Takeaways

  • Merging tables in Excel is important for simplifying data management and analysis.
  • Understanding tables in Excel and their benefits is crucial for effective data organization.
  • Preparing tables for merging involves ensuring data consistency and removing blank rows.
  • There are multiple methods for merging tables in Excel, including using VLOOKUP, Power Query, INDEX, and MATCH functions.
  • Mastering the art of merging tables in Excel can significantly improve workflow efficiency and analytical accuracy.

Understanding Tables in Excel

Tables in Excel are a powerful tool for organizing and analyzing data. They allow you to store and manipulate large amounts of data in a structured format, making it easier to work with and visualize. In this chapter, we will explore the definition of tables in Excel and the benefits of using them.

A. Definition of tables in Excel

In Excel, a table is a range of cells that are formatted as a table. This formatting includes features such as header rows, banded rows, and filters, making it easier to manage and analyze data. Tables also have their own set of tools and commands, allowing you to perform operations such as sorting and filtering more efficiently.

B. Benefits of using tables
  • Structured data: Tables provide a structured format for your data, making it easier to read and understand.
  • Automatic formatting: Tables come with built-in formatting options, such as alternating row colors and header rows, making your data more visually appealing.
  • Easy data manipulation: With tables, you can easily add new rows or columns, and formulas and formatting will automatically extend to include the new data.
  • Filtering and sorting: Tables allow you to quickly filter and sort your data, making it easier to analyze and identify trends.
  • Dynamic ranges: Tables automatically expand to include new data added to the range, so you don't have to manually update the range reference in your formulas.

Preparing Tables for Merging

Before merging tables in Excel, it is important to ensure that the data is organized and consistent. This will ensure a smooth and accurate merging process.

A. Ensuring data consistency
  • Check for consistent headers

    Make sure that the column headers in both tables are consistent and match each other. This will make it easier to merge the tables based on the headers.
  • Standardize data formats

    Ensure that the data in each column is in the same format. For example, dates should be in the same date format, and text should be formatted consistently.
  • Clean up any inconsistencies

    Look for any inconsistencies or errors in the data and clean them up before merging the tables. This could include misspelled names, duplicate entries, or incorrect data.

B. Removing blank rows
  • Identify and delete blank rows

    Scan through the tables to identify any blank rows and delete them. Blank rows can disrupt the merging process and lead to inaccurate results.
  • Use filters to identify blanks

    Utilize Excel's filter functionality to easily identify and remove blank rows from the tables.
  • Ensure consistent row numbers

    After removing blank rows, ensure that the row numbers are consistent and sequential in both tables to avoid any issues during merging.

Using the VLOOKUP Function

In this section, we will explore how the VLOOKUP function in Excel can be used to merge tables.

A. Explanation of VLOOKUP

The VLOOKUP function is a powerful tool in Excel that allows users to search for a value in the first column of a table and return a value in the same row from another column.

B. How to use VLOOKUP to merge tables

When working with multiple tables in Excel, it is often necessary to combine data from different sources. This can be achieved using the VLOOKUP function in the following steps:

1. Set up the tables

  • Create the tables that you want to merge. Ensure that there is a common unique identifier (such as a product ID or customer name) present in both tables.

2. Identify the common identifier

  • Determine which column in both tables contains the common unique identifier that will be used to match the data.

3. Use VLOOKUP to merge the tables

  • Insert a new column in the first table where you want to merge the data.
  • Use the VLOOKUP function to search for the common identifier in the second table and return the desired data to the new column in the first table.
  • Ensure that the lookup value, table array, column index number, and range lookup are properly specified in the VLOOKUP formula.

By following these steps and utilizing the VLOOKUP function, users can effectively merge tables in Excel and consolidate data from multiple sources.

Using Power Query to Merge Tables

When working with large sets of data in Excel, merging tables can be a useful way to consolidate information and create more comprehensive datasets. One powerful tool for merging tables in Excel is Power Query, which allows users to combine and transform data from multiple sources with ease.

A. Overview of Power Query

Power Query is a data connection technology that enables users to discover, connect, combine, and refine data across a wide variety of sources. It provides a user-friendly interface for manipulating and merging data from different tables or sources, making it a valuable tool for data analysis and reporting.

B. Steps to merge tables using Power Query

Step 1: Load the tables into Power Query

  • Open Excel and go to the Data tab.
  • Click on "Get Data" and select the source of your tables (e.g., Excel file, database, web, etc.).
  • Load the tables you want to merge into Power Query by selecting them from the data source.

Step 2: Transform and clean the tables (if necessary)

  • Once the tables are loaded into Power Query, you can perform any necessary transformations or cleaning operations on the data, such as removing duplicates, renaming columns, or filtering rows.
  • Ensure that the columns you want to merge on have the same data type and format.

Step 3: Merge the tables

  • Select the tables you want to merge from the Power Query Editor.
  • Click on the "Home" tab and select "Merge Queries" from the "Combine" group.
  • Choose the appropriate merge options, such as the type of join and the columns to merge on, and click "OK".

Step 4: Expand and load the merged table

  • After merging the tables, you can expand the columns to include the desired data from each table.
  • Once you are satisfied with the merged table, click "Close & Load" to bring the combined data back into Excel as a new table or a connection only.

By following these steps and utilizing Power Query, users can efficiently merge tables in Excel and create more comprehensive datasets for analysis and reporting.

Using INDEX and MATCH Functions

When it comes to merging tables in Excel, the INDEX and MATCH functions are powerful tools that can be used to combine data from two or more tables based on a common key. This method is flexible and can handle complex merging requirements with ease.

A. Explanation of INDEX and MATCH

The INDEX function returns the value of a cell in a table based on the row and column number. This function allows us to retrieve data from a specific location in a table. On the other hand, the MATCH function searches for a specified value in a range and returns the relative position of that item.

B. How to use INDEX and MATCH to merge tables

To merge tables using the INDEX and MATCH functions, we can follow these steps:

  • Step 1: Identify the common key or column in both tables that will serve as the basis for merging the data.
  • Step 2: Use the MATCH function to find the position of the common key in the first table.
  • Step 3: Once the position is determined, use the INDEX function to retrieve the corresponding data from the second table based on the matched position.
  • Step 4: Drag the INDEX and MATCH formulas to apply the merging logic to the entire table, ensuring that the data is combined accurately across the tables.

By using the INDEX and MATCH functions in this manner, we can effectively merge tables in Excel and create a consolidated dataset that can be used for further analysis or reporting purposes.


In conclusion, merging tables in Excel is an essential skill that can help streamline data analysis and reporting. By combining related data from multiple tables, you can create more comprehensive and insightful reports. There are various methods for merging tables in Excel, including VLOOKUP, INDEX-MATCH, and Power Query. Each method has its own advantages and can be applied based on the specific requirements of your data. Whether you are a beginner or an advanced user, mastering these techniques can significantly improve your efficiency in Excel.

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